id	sid	tid	token	lemma	pos
cana-1457	1	1	communications	communication	NOUN
cana-1457	1	2	on	on	ADP
cana-1457	1	3	applied	apply	VERB
cana-1457	1	4	nonlinear	nonlinear	ADJ
cana-1457	1	5	analysis	analysis	NOUN
cana-1457	1	6	issn	issn	NOUN
cana-1457	1	7	:	:	PUNCT
cana-1457	1	8	1074	1074	NUM
cana-1457	1	9	-	-	PUNCT
cana-1457	1	10	133x	133x	NUM
cana-1457	1	11	vol	vol	NOUN
cana-1457	1	12	31	31	NUM
cana-1457	1	13	no	no	NOUN
cana-1457	1	14	.	.	PUNCT
cana-1457	2	1	8s	8s	PROPN
cana-1457	2	2	(	(	PUNCT
cana-1457	2	3	2024	2024	NUM
cana-1457	2	4	)	)	PUNCT
cana-1457	2	5	56	56	NUM
cana-1457	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	2	7	iot	iot	VERB
cana-1457	2	8	-	-	PUNCT
cana-1457	2	9	enabled	enable	VERB
cana-1457	2	10	real	real	ADJ
cana-1457	2	11	-	-	PUNCT
cana-1457	2	12	time	time	NOUN
cana-1457	2	13	monitoring	monitoring	NOUN
cana-1457	2	14	and	and	CCONJ
cana-1457	2	15	machine	machine	NOUN
cana-1457	2	16	learning	learning	NOUN
cana-1457	2	17	-	-	PUNCT
cana-1457	2	18	based	base	VERB
cana-1457	2	19	prediction	prediction	NOUN
cana-1457	2	20	system	system	NOUN
cana-1457	2	21	for	for	ADP
cana-1457	2	22	optimizing	optimize	VERB
cana-1457	2	23	tea	tea	NOUN
cana-1457	2	24	withering	wither	VERB
cana-1457	2	25	process	process	NOUN
cana-1457	2	26	b.	b.	PROPN
cana-1457	2	27	rajkumar1	rajkumar1	PROPN
cana-1457	2	28	,	,	PUNCT
cana-1457	2	29	dr	dr	PROPN
cana-1457	2	30	.	.	PROPN
cana-1457	2	31	r.	r.	PROPN
cana-1457	2	32	umagandhi	umagandhi	VERB
cana-1457	2	33	2	2	NUM
cana-1457	2	34	1research	1research	NUM
cana-1457	2	35	scholar	scholar	NOUN
cana-1457	2	36	,	,	PUNCT
cana-1457	2	37	kongunadu	kongunadu	ADJ
cana-1457	2	38	arts	art	NOUN
cana-1457	2	39	and	and	CCONJ
cana-1457	2	40	science	science	PROPN
cana-1457	2	41	college	college	PROPN
cana-1457	2	42	,	,	PUNCT
cana-1457	2	43	coimbatore	coimbatore	PROPN
cana-1457	2	44	,	,	PUNCT
cana-1457	2	45	tamil	tamil	PROPN
cana-1457	2	46	nadu	nadu	PROPN
cana-1457	2	47	,	,	PUNCT
cana-1457	2	48	india	india	PROPN
cana-1457	2	49	,	,	PUNCT
cana-1457	2	50	brajku@gmail.com	brajku@gmail.com	X
cana-1457	3	1	2research	2research	NUM
cana-1457	3	2	supervisor	supervisor	NOUN
cana-1457	3	3	,	,	PUNCT
cana-1457	3	4	psg	psg	PROPN
cana-1457	3	5	college	college	PROPN
cana-1457	3	6	of	of	ADP
cana-1457	3	7	arts	art	NOUN
cana-1457	3	8	and	and	CCONJ
cana-1457	3	9	science	science	NOUN
cana-1457	3	10	,	,	PUNCT
cana-1457	3	11	coimbatore	coimbatore	PROPN
cana-1457	3	12	,	,	PUNCT
cana-1457	3	13	tamil	tamil	PROPN
cana-1457	3	14	nadu	nadu	PROPN
cana-1457	3	15	,	,	PUNCT
cana-1457	3	16	india	india	PROPN
cana-1457	3	17	,	,	PUNCT
cana-1457	3	18	umakongunadu@gmail.com	umakongunadu@gmail.com	X
cana-1457	4	1	article	article	NOUN
cana-1457	4	2	history	history	NOUN
cana-1457	4	3	:	:	PUNCT
cana-1457	4	4	received	receive	VERB
cana-1457	4	5	:	:	PUNCT
cana-1457	4	6	20	20	NUM
cana-1457	4	7	-	-	PUNCT
cana-1457	4	8	04	04	NUM
cana-1457	4	9	-	-	PUNCT
cana-1457	4	10	2024	2024	NUM
cana-1457	4	11	revised	revise	VERB
cana-1457	4	12	:	:	PUNCT
cana-1457	4	13	10	10	NUM
cana-1457	4	14	-	-	SYM
cana-1457	4	15	06	06	NUM
cana-1457	4	16	-	-	PUNCT
cana-1457	4	17	2024	2024	NUM
cana-1457	4	18	accepted	accept	VERB
cana-1457	4	19	:	:	PUNCT
cana-1457	4	20	24	24	NUM
cana-1457	4	21	-	-	PUNCT
cana-1457	4	22	06	06	NUM
cana-1457	4	23	-	-	PUNCT
cana-1457	4	24	2024	2024	NUM
cana-1457	4	25	abstract	abstract	NOUN
cana-1457	4	26	:	:	PUNCT
cana-1457	4	27	the	the	DET
cana-1457	4	28	withering	wither	VERB
cana-1457	4	29	process	process	NOUN
cana-1457	4	30	in	in	ADP
cana-1457	4	31	tea	tea	NOUN
cana-1457	4	32	production	production	NOUN
cana-1457	4	33	is	be	AUX
cana-1457	4	34	critical	critical	ADJ
cana-1457	4	35	for	for	ADP
cana-1457	4	36	ensuring	ensure	VERB
cana-1457	4	37	high	high	ADJ
cana-1457	4	38	-	-	PUNCT
cana-1457	4	39	quality	quality	NOUN
cana-1457	4	40	tea	tea	NOUN
cana-1457	4	41	but	but	CCONJ
cana-1457	4	42	traditionally	traditionally	ADV
cana-1457	4	43	relies	rely	VERB
cana-1457	4	44	on	on	ADP
cana-1457	4	45	manual	manual	ADJ
cana-1457	4	46	monitoring	monitoring	NOUN
cana-1457	4	47	,	,	PUNCT
cana-1457	4	48	leading	lead	VERB
cana-1457	4	49	to	to	ADP
cana-1457	4	50	inconsistencies	inconsistency	NOUN
cana-1457	4	51	.	.	PUNCT
cana-1457	5	1	this	this	DET
cana-1457	5	2	paper	paper	NOUN
cana-1457	5	3	presents	present	VERB
cana-1457	5	4	an	an	DET
cana-1457	5	5	iot	iot	NOUN
cana-1457	5	6	-	-	PUNCT
cana-1457	5	7	based	base	VERB
cana-1457	5	8	real	real	ADJ
cana-1457	5	9	-	-	PUNCT
cana-1457	5	10	time	time	NOUN
cana-1457	5	11	monitoring	monitoring	NOUN
cana-1457	5	12	system	system	NOUN
cana-1457	5	13	integrated	integrate	VERB
cana-1457	5	14	with	with	ADP
cana-1457	5	15	machine	machine	NOUN
cana-1457	5	16	learning	learn	VERB
cana-1457	5	17	to	to	PART
cana-1457	5	18	optimize	optimize	VERB
cana-1457	5	19	the	the	DET
cana-1457	5	20	withering	wither	VERB
cana-1457	5	21	process	process	NOUN
cana-1457	5	22	.	.	PUNCT
cana-1457	6	1	using	use	VERB
cana-1457	6	2	thingspeak	thingspeak	NOUN
cana-1457	6	3	as	as	ADP
cana-1457	6	4	the	the	DET
cana-1457	6	5	iot	iot	PROPN
cana-1457	6	6	dashboard	dashboard	NOUN
cana-1457	6	7	,	,	PUNCT
cana-1457	6	8	the	the	DET
cana-1457	6	9	system	system	NOUN
cana-1457	6	10	gathers	gather	VERB
cana-1457	6	11	real	real	ADJ
cana-1457	6	12	-	-	PUNCT
cana-1457	6	13	time	time	NOUN
cana-1457	6	14	environmental	environmental	ADJ
cana-1457	6	15	data	datum	NOUN
cana-1457	6	16	such	such	ADJ
cana-1457	6	17	as	as	ADP
cana-1457	6	18	temperature	temperature	NOUN
cana-1457	6	19	,	,	PUNCT
cana-1457	6	20	humidity	humidity	NOUN
cana-1457	6	21	,	,	PUNCT
cana-1457	6	22	and	and	CCONJ
cana-1457	6	23	moisture	moisture	NOUN
cana-1457	6	24	content	content	NOUN
cana-1457	6	25	.	.	PUNCT
cana-1457	7	1	machine	machine	NOUN
cana-1457	7	2	learning	learning	NOUN
cana-1457	7	3	models	model	NOUN
cana-1457	7	4	,	,	PUNCT
cana-1457	7	5	xgboost	xgboost	ADV
cana-1457	7	6	and	and	CCONJ
cana-1457	7	7	lightgbm	lightgbm	ADJ
cana-1457	7	8	,	,	PUNCT
cana-1457	7	9	predict	predict	VERB
cana-1457	7	10	moisture	moisture	NOUN
cana-1457	7	11	content	content	NOUN
cana-1457	7	12	based	base	VERB
cana-1457	7	13	on	on	ADP
cana-1457	7	14	this	this	DET
cana-1457	7	15	data	data	NOUN
cana-1457	7	16	,	,	PUNCT
cana-1457	7	17	enabling	enable	VERB
cana-1457	7	18	proactive	proactive	ADJ
cana-1457	7	19	adjustments	adjustment	NOUN
cana-1457	7	20	.	.	PUNCT
cana-1457	8	1	xgboost	xgboost	PROPN
cana-1457	8	2	achieved	achieve	VERB
cana-1457	8	3	a	a	DET
cana-1457	8	4	mean	mean	ADJ
cana-1457	8	5	absolute	absolute	ADJ
cana-1457	8	6	error	error	NOUN
cana-1457	8	7	(	(	PUNCT
cana-1457	8	8	mae	mae	PROPN
cana-1457	8	9	)	)	PUNCT
cana-1457	8	10	of	of	ADP
cana-1457	8	11	0.99	0.99	NUM
cana-1457	8	12	and	and	CCONJ
cana-1457	8	13	an	an	DET
cana-1457	8	14	r	r	NOUN
cana-1457	8	15	-	-	PUNCT
cana-1457	8	16	squared	square	VERB
cana-1457	8	17	(	(	PUNCT
cana-1457	8	18	r²	r²	NOUN
cana-1457	8	19	)	)	PUNCT
cana-1457	8	20	value	value	NOUN
cana-1457	8	21	of	of	ADP
cana-1457	8	22	0.92	0.92	NUM
cana-1457	8	23	,	,	PUNCT
cana-1457	8	24	demonstrating	demonstrate	VERB
cana-1457	8	25	high	high	ADJ
cana-1457	8	26	predictive	predictive	ADJ
cana-1457	8	27	accuracy	accuracy	NOUN
cana-1457	8	28	.	.	PUNCT
cana-1457	9	1	the	the	DET
cana-1457	9	2	system	system	NOUN
cana-1457	9	3	’s	’s	PART
cana-1457	9	4	realtime	realtime	NOUN
cana-1457	9	5	insights	insight	NOUN
cana-1457	9	6	help	help	VERB
cana-1457	9	7	tea	tea	NOUN
cana-1457	9	8	producers	producer	NOUN
cana-1457	9	9	optimize	optimize	VERB
cana-1457	9	10	the	the	DET
cana-1457	9	11	withering	wither	VERB
cana-1457	9	12	process	process	NOUN
cana-1457	9	13	,	,	PUNCT
cana-1457	9	14	improving	improve	VERB
cana-1457	9	15	quality	quality	NOUN
cana-1457	9	16	and	and	CCONJ
cana-1457	9	17	reducing	reduce	VERB
cana-1457	9	18	waste	waste	NOUN
cana-1457	9	19	.	.	PUNCT
cana-1457	10	1	this	this	DET
cana-1457	10	2	research	research	NOUN
cana-1457	10	3	offers	offer	VERB
cana-1457	10	4	a	a	DET
cana-1457	10	5	scalable	scalable	ADJ
cana-1457	10	6	solution	solution	NOUN
cana-1457	10	7	for	for	ADP
cana-1457	10	8	both	both	CCONJ
cana-1457	10	9	small	small	ADJ
cana-1457	10	10	and	and	CCONJ
cana-1457	10	11	large	large	ADJ
cana-1457	10	12	tea	tea	NOUN
cana-1457	10	13	producers	producer	NOUN
cana-1457	10	14	,	,	PUNCT
cana-1457	10	15	showcasing	showcase	VERB
cana-1457	10	16	the	the	DET
cana-1457	10	17	potential	potential	NOUN
cana-1457	10	18	of	of	ADP
cana-1457	10	19	iot	iot	NOUN
cana-1457	10	20	and	and	CCONJ
cana-1457	10	21	machine	machine	NOUN
cana-1457	10	22	learning	learning	NOUN
cana-1457	10	23	in	in	ADP
cana-1457	10	24	modernizing	modernize	VERB
cana-1457	10	25	agriculture	agriculture	NOUN
cana-1457	10	26	.	.	PUNCT
cana-1457	11	1	introduction	introduction	NOUN
cana-1457	11	2	:	:	PUNCT
cana-1457	11	3	tea	tea	NOUN
cana-1457	11	4	production	production	NOUN
cana-1457	11	5	relies	rely	VERB
cana-1457	11	6	heavily	heavily	ADV
cana-1457	11	7	on	on	ADP
cana-1457	11	8	the	the	DET
cana-1457	11	9	withering	wither	VERB
cana-1457	11	10	process	process	NOUN
cana-1457	11	11	,	,	PUNCT
cana-1457	11	12	traditionally	traditionally	ADV
cana-1457	11	13	monitored	monitor	VERB
cana-1457	11	14	manually	manually	ADV
cana-1457	11	15	,	,	PUNCT
cana-1457	11	16	which	which	PRON
cana-1457	11	17	can	can	AUX
cana-1457	11	18	be	be	AUX
cana-1457	11	19	inconsistent	inconsistent	ADJ
cana-1457	11	20	.	.	PUNCT
cana-1457	12	1	by	by	ADP
cana-1457	12	2	integrating	integrate	VERB
cana-1457	12	3	iot	iot	NOUN
cana-1457	12	4	and	and	CCONJ
cana-1457	12	5	machine	machine	NOUN
cana-1457	12	6	learning	learning	NOUN
cana-1457	12	7	,	,	PUNCT
cana-1457	12	8	real	real	ADJ
cana-1457	12	9	-	-	PUNCT
cana-1457	12	10	time	time	NOUN
cana-1457	12	11	data	datum	NOUN
cana-1457	12	12	is	be	AUX
cana-1457	12	13	collected	collect	VERB
cana-1457	12	14	to	to	PART
cana-1457	12	15	predict	predict	VERB
cana-1457	12	16	moisture	moisture	NOUN
cana-1457	12	17	levels	level	NOUN
cana-1457	12	18	,	,	PUNCT
cana-1457	12	19	offering	offer	VERB
cana-1457	12	20	more	more	ADJ
cana-1457	12	21	control	control	NOUN
cana-1457	12	22	.	.	PUNCT
cana-1457	13	1	this	this	DET
cana-1457	13	2	research	research	NOUN
cana-1457	13	3	uses	use	VERB
cana-1457	13	4	xgboost	xgboost	ADV
cana-1457	13	5	and	and	CCONJ
cana-1457	13	6	lightgbm	lightgbm	ADJ
cana-1457	13	7	models	model	NOUN
cana-1457	13	8	,	,	PUNCT
cana-1457	13	9	with	with	ADP
cana-1457	13	10	thingspeak	thingspeak	NOUN
cana-1457	13	11	for	for	ADP
cana-1457	13	12	data	data	NOUN
cana-1457	13	13	visualization	visualization	NOUN
cana-1457	13	14	,	,	PUNCT
cana-1457	13	15	to	to	PART
cana-1457	13	16	reduce	reduce	VERB
cana-1457	13	17	errors	error	NOUN
cana-1457	13	18	and	and	CCONJ
cana-1457	13	19	improve	improve	VERB
cana-1457	13	20	tea	tea	NOUN
cana-1457	13	21	quality	quality	NOUN
cana-1457	13	22	.	.	PUNCT
cana-1457	14	1	objectives	objective	NOUN
cana-1457	14	2	:	:	PUNCT
cana-1457	14	3	this	this	DET
cana-1457	14	4	research	research	NOUN
cana-1457	14	5	aims	aim	VERB
cana-1457	14	6	to	to	PART
cana-1457	14	7	create	create	VERB
cana-1457	14	8	a	a	DET
cana-1457	14	9	real	real	ADJ
cana-1457	14	10	-	-	PUNCT
cana-1457	14	11	time	time	NOUN
cana-1457	14	12	iot	iot	NOUN
cana-1457	14	13	-	-	PUNCT
cana-1457	14	14	based	base	VERB
cana-1457	14	15	system	system	NOUN
cana-1457	14	16	that	that	PRON
cana-1457	14	17	monitors	monitor	VERB
cana-1457	14	18	and	and	CCONJ
cana-1457	14	19	controls	control	VERB
cana-1457	14	20	environmental	environmental	ADJ
cana-1457	14	21	factors	factor	NOUN
cana-1457	14	22	during	during	ADP
cana-1457	14	23	tea	tea	NOUN
cana-1457	14	24	withering	withering	NOUN
cana-1457	14	25	.	.	PUNCT
cana-1457	15	1	by	by	ADP
cana-1457	15	2	predicting	predict	VERB
cana-1457	15	3	moisture	moisture	NOUN
cana-1457	15	4	levels	level	NOUN
cana-1457	15	5	using	use	VERB
cana-1457	15	6	xgboost	xgboost	ADV
cana-1457	15	7	and	and	CCONJ
cana-1457	15	8	lightgbm	lightgbm	ADJ
cana-1457	15	9	,	,	PUNCT
cana-1457	15	10	the	the	DET
cana-1457	15	11	system	system	NOUN
cana-1457	15	12	improves	improve	VERB
cana-1457	15	13	tea	tea	NOUN
cana-1457	15	14	quality	quality	NOUN
cana-1457	15	15	and	and	CCONJ
cana-1457	15	16	operational	operational	ADJ
cana-1457	15	17	efficiency	efficiency	NOUN
cana-1457	15	18	.	.	PUNCT
cana-1457	16	1	it	it	PRON
cana-1457	16	2	also	also	ADV
cana-1457	16	3	seeks	seek	VERB
cana-1457	16	4	to	to	PART
cana-1457	16	5	ensure	ensure	VERB
cana-1457	16	6	scalability	scalability	NOUN
cana-1457	16	7	and	and	CCONJ
cana-1457	16	8	reduce	reduce	VERB
cana-1457	16	9	variability	variability	NOUN
cana-1457	16	10	through	through	ADP
cana-1457	16	11	automation	automation	NOUN
cana-1457	16	12	and	and	CCONJ
cana-1457	16	13	data	data	NOUN
cana-1457	16	14	-	-	PUNCT
cana-1457	16	15	driven	drive	VERB
cana-1457	16	16	insights	insight	NOUN
cana-1457	16	17	.	.	PUNCT
cana-1457	17	1	methods	method	NOUN
cana-1457	17	2	:	:	PUNCT
cana-1457	17	3	dht22	dht22	NOUN
cana-1457	17	4	and	and	CCONJ
cana-1457	17	5	moisture	moisture	VERB
cana-1457	17	6	sensors	sensor	NOUN
cana-1457	17	7	connected	connect	VERB
cana-1457	17	8	to	to	ADP
cana-1457	17	9	an	an	DET
cana-1457	17	10	esp32	esp32	ADV
cana-1457	17	11	microcontroller	microcontroller	NOUN
cana-1457	17	12	collected	collect	VERB
cana-1457	17	13	environmental	environmental	ADJ
cana-1457	17	14	data	datum	NOUN
cana-1457	17	15	,	,	PUNCT
cana-1457	17	16	sent	send	VERB
cana-1457	17	17	to	to	PART
cana-1457	17	18	thingspeak	thingspeak	VERB
cana-1457	17	19	for	for	ADP
cana-1457	17	20	analysis	analysis	NOUN
cana-1457	17	21	.	.	PUNCT
cana-1457	18	1	xgboost	xgboost	ADV
cana-1457	18	2	and	and	CCONJ
cana-1457	18	3	lightgbm	lightgbm	ADJ
cana-1457	18	4	models	model	NOUN
cana-1457	18	5	,	,	PUNCT
cana-1457	18	6	optimized	optimize	VERB
cana-1457	18	7	with	with	ADP
cana-1457	18	8	gridsearchcv	gridsearchcv	NOUN
cana-1457	18	9	,	,	PUNCT
cana-1457	18	10	predicted	predict	VERB
cana-1457	18	11	moisture	moisture	NOUN
cana-1457	18	12	content	content	NOUN
cana-1457	18	13	.	.	PUNCT
cana-1457	19	1	the	the	DET
cana-1457	19	2	system	system	NOUN
cana-1457	19	3	provided	provide	VERB
cana-1457	19	4	real	real	ADJ
cana-1457	19	5	-	-	PUNCT
cana-1457	19	6	time	time	NOUN
cana-1457	19	7	visualizations	visualization	NOUN
cana-1457	19	8	and	and	CCONJ
cana-1457	19	9	alerts	alert	NOUN
cana-1457	19	10	for	for	ADP
cana-1457	19	11	better	well	ADJ
cana-1457	19	12	decision	decision	NOUN
cana-1457	19	13	-	-	PUNCT
cana-1457	19	14	making	making	NOUN
cana-1457	19	15	during	during	ADP
cana-1457	19	16	tea	tea	NOUN
cana-1457	19	17	withering	withering	NOUN
cana-1457	19	18	.	.	PUNCT
cana-1457	20	1	results	result	NOUN
cana-1457	20	2	:	:	PUNCT
cana-1457	20	3	the	the	DET
cana-1457	20	4	system	system	NOUN
cana-1457	20	5	improved	improve	VERB
cana-1457	20	6	moisture	moisture	NOUN
cana-1457	20	7	control	control	NOUN
cana-1457	20	8	,	,	PUNCT
cana-1457	20	9	with	with	ADP
cana-1457	20	10	xgboost	xgboost	ADV
cana-1457	20	11	achieving	achieve	VERB
cana-1457	20	12	an	an	DET
cana-1457	20	13	mae	mae	PROPN
cana-1457	20	14	of	of	ADP
cana-1457	20	15	0.99	0.99	NUM
cana-1457	20	16	and	and	CCONJ
cana-1457	20	17	lightgbm	lightgbm	VERB
cana-1457	20	18	1.01	1.01	NUM
cana-1457	20	19	.	.	PUNCT
cana-1457	21	1	real	real	ADJ
cana-1457	21	2	-	-	PUNCT
cana-1457	21	3	time	time	NOUN
cana-1457	21	4	monitoring	monitoring	NOUN
cana-1457	21	5	via	via	ADP
cana-1457	21	6	thingspeak	thingspeak	NOUN
cana-1457	21	7	enabled	enable	VERB
cana-1457	21	8	better	well	ADJ
cana-1457	21	9	decisions	decision	NOUN
cana-1457	21	10	,	,	PUNCT
cana-1457	21	11	adapting	adapt	VERB
cana-1457	21	12	well	well	ADV
cana-1457	21	13	to	to	ADP
cana-1457	21	14	environmental	environmental	ADJ
cana-1457	21	15	changes	change	NOUN
cana-1457	21	16	.	.	PUNCT
cana-1457	22	1	the	the	DET
cana-1457	22	2	system	system	NOUN
cana-1457	22	3	proved	prove	VERB
cana-1457	22	4	scalable	scalable	ADJ
cana-1457	22	5	,	,	PUNCT
cana-1457	22	6	benefiting	benefit	VERB
cana-1457	22	7	both	both	CCONJ
cana-1457	22	8	small	small	ADJ
cana-1457	22	9	and	and	CCONJ
cana-1457	22	10	industrial	industrial	ADJ
cana-1457	22	11	tea	tea	NOUN
cana-1457	22	12	producers	producer	NOUN
cana-1457	22	13	.	.	PUNCT
cana-1457	23	1	conclusions	conclusion	NOUN
cana-1457	23	2	:	:	PUNCT
cana-1457	23	3	iot	iot	NOUN
cana-1457	23	4	and	and	CCONJ
cana-1457	23	5	machine	machine	NOUN
cana-1457	23	6	learning	learning	NOUN
cana-1457	23	7	enhance	enhance	VERB
cana-1457	23	8	tea	tea	NOUN
cana-1457	23	9	withering	wither	VERB
cana-1457	23	10	by	by	ADP
cana-1457	23	11	providing	provide	VERB
cana-1457	23	12	real	real	ADJ
cana-1457	23	13	-	-	PUNCT
cana-1457	23	14	time	time	NOUN
cana-1457	23	15	insights	insight	NOUN
cana-1457	23	16	and	and	CCONJ
cana-1457	23	17	predictive	predictive	ADJ
cana-1457	23	18	analytics	analytic	NOUN
cana-1457	23	19	.	.	PUNCT
cana-1457	24	1	the	the	DET
cana-1457	24	2	thingspeak	thingspeak	NOUN
cana-1457	24	3	dashboard	dashboard	NOUN
cana-1457	24	4	effectively	effectively	ADV
cana-1457	24	5	visualizes	visualize	VERB
cana-1457	24	6	data	datum	NOUN
cana-1457	24	7	,	,	PUNCT
cana-1457	24	8	helping	help	VERB
cana-1457	24	9	optimize	optimize	VERB
cana-1457	24	10	tea	tea	NOUN
cana-1457	24	11	production	production	NOUN
cana-1457	24	12	.	.	PUNCT
cana-1457	25	1	future	future	ADJ
cana-1457	25	2	improvements	improvement	NOUN
cana-1457	25	3	will	will	AUX
cana-1457	25	4	focus	focus	VERB
cana-1457	25	5	on	on	ADP
cana-1457	25	6	refining	refining	NOUN
cana-1457	25	7	models	model	NOUN
cana-1457	25	8	and	and	CCONJ
cana-1457	25	9	enhancing	enhance	VERB
cana-1457	25	10	the	the	DET
cana-1457	25	11	user	user	NOUN
cana-1457	25	12	interface	interface	NOUN
cana-1457	25	13	for	for	ADP
cana-1457	25	14	better	well	ADJ
cana-1457	25	15	scalability	scalability	NOUN
cana-1457	25	16	and	and	CCONJ
cana-1457	25	17	usability	usability	NOUN
cana-1457	25	18	.	.	PUNCT
cana-1457	26	1	keywords	keyword	NOUN
cana-1457	26	2	:	:	PUNCT
cana-1457	26	3	iot	iot	ADJ
cana-1457	26	4	,	,	PUNCT
cana-1457	26	5	tea	tea	NOUN
cana-1457	26	6	processing	processing	NOUN
cana-1457	26	7	,	,	PUNCT
cana-1457	26	8	machine	machine	NOUN
cana-1457	26	9	learning	learning	NOUN
cana-1457	26	10	,	,	PUNCT
cana-1457	26	11	smart	smart	ADJ
cana-1457	26	12	agriculture	agriculture	NOUN
cana-1457	26	13	,	,	PUNCT
cana-1457	26	14	xgboost	xgboost	X
cana-1457	27	1	mailto:umakongunadu@gmail.com	mailto:umakongunadu@gmail.com	PROPN
cana-1457	27	2	communications	communication	NOUN
cana-1457	27	3	on	on	ADP
cana-1457	27	4	applied	apply	VERB
cana-1457	27	5	nonlinear	nonlinear	ADJ
cana-1457	27	6	analysis	analysis	NOUN
cana-1457	27	7	issn	issn	NOUN
cana-1457	27	8	:	:	PUNCT
cana-1457	27	9	1074	1074	NUM
cana-1457	27	10	-	-	PUNCT
cana-1457	27	11	133x	133x	NUM
cana-1457	27	12	vol	vol	NOUN
cana-1457	27	13	31	31	NUM
cana-1457	27	14	no	no	NOUN
cana-1457	27	15	.	.	PUNCT
cana-1457	28	1	8s	8s	PROPN
cana-1457	28	2	(	(	PUNCT
cana-1457	28	3	2024	2024	NUM
cana-1457	28	4	)	)	PUNCT
cana-1457	28	5	57	57	NUM
cana-1457	28	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	28	7	1	1	X
cana-1457	28	8	.	.	PUNCT
cana-1457	29	1	introduction	introduction	NOUN
cana-1457	29	2	tea	tea	NOUN
cana-1457	29	3	is	be	AUX
cana-1457	29	4	not	not	PART
cana-1457	29	5	only	only	ADV
cana-1457	29	6	a	a	DET
cana-1457	29	7	globally	globally	ADV
cana-1457	29	8	beloved	beloved	ADJ
cana-1457	29	9	beverage	beverage	NOUN
cana-1457	29	10	but	but	CCONJ
cana-1457	29	11	also	also	ADV
cana-1457	29	12	an	an	DET
cana-1457	29	13	integral	integral	ADJ
cana-1457	29	14	part	part	NOUN
cana-1457	29	15	of	of	ADP
cana-1457	29	16	agricultural	agricultural	ADJ
cana-1457	29	17	economies	economy	NOUN
cana-1457	29	18	in	in	ADP
cana-1457	29	19	many	many	ADJ
cana-1457	29	20	regions	region	NOUN
cana-1457	29	21	.	.	PUNCT
cana-1457	30	1	among	among	ADP
cana-1457	30	2	the	the	DET
cana-1457	30	3	various	various	ADJ
cana-1457	30	4	tea	tea	NOUN
cana-1457	30	5	-	-	PUNCT
cana-1457	30	6	producing	produce	VERB
cana-1457	30	7	regions	region	NOUN
cana-1457	30	8	,	,	PUNCT
cana-1457	30	9	nilgiris	nilgiris	NOUN
cana-1457	30	10	in	in	ADP
cana-1457	30	11	southern	southern	ADJ
cana-1457	30	12	india	india	PROPN
cana-1457	30	13	stands	stand	VERB
cana-1457	30	14	out	out	ADP
cana-1457	30	15	for	for	ADP
cana-1457	30	16	its	its	PRON
cana-1457	30	17	unique	unique	ADJ
cana-1457	30	18	flavor	flavor	NOUN
cana-1457	30	19	profiles	profile	NOUN
cana-1457	30	20	and	and	CCONJ
cana-1457	30	21	high	high	ADJ
cana-1457	30	22	-	-	PUNCT
cana-1457	30	23	quality	quality	NOUN
cana-1457	30	24	tea	tea	NOUN
cana-1457	30	25	leaves	leave	NOUN
cana-1457	30	26	.	.	PUNCT
cana-1457	31	1	the	the	DET
cana-1457	31	2	nilgiris	nilgiris	PROPN
cana-1457	31	3	district	district	PROPN
cana-1457	31	4	,	,	PUNCT
cana-1457	31	5	with	with	ADP
cana-1457	31	6	its	its	PRON
cana-1457	31	7	favorable	favorable	ADJ
cana-1457	31	8	climate	climate	NOUN
cana-1457	31	9	,	,	PUNCT
cana-1457	31	10	high	high	ADJ
cana-1457	31	11	altitudes	altitude	NOUN
cana-1457	31	12	,	,	PUNCT
cana-1457	31	13	and	and	CCONJ
cana-1457	31	14	rich	rich	ADJ
cana-1457	31	15	soil	soil	NOUN
cana-1457	31	16	,	,	PUNCT
cana-1457	31	17	is	be	AUX
cana-1457	31	18	home	home	NOUN
cana-1457	31	19	to	to	ADP
cana-1457	31	20	a	a	DET
cana-1457	31	21	large	large	ADJ
cana-1457	31	22	number	number	NOUN
cana-1457	31	23	of	of	ADP
cana-1457	31	24	small	small	ADJ
cana-1457	31	25	tea	tea	NOUN
cana-1457	31	26	growers	grower	NOUN
cana-1457	31	27	who	who	PRON
cana-1457	31	28	contribute	contribute	VERB
cana-1457	31	29	significantly	significantly	ADV
cana-1457	31	30	to	to	ADP
cana-1457	31	31	the	the	DET
cana-1457	31	32	region	region	NOUN
cana-1457	31	33	's	's	PART
cana-1457	31	34	tea	tea	NOUN
cana-1457	31	35	production	production	NOUN
cana-1457	31	36	.	.	PUNCT
cana-1457	32	1	however	however	ADV
cana-1457	32	2	,	,	PUNCT
cana-1457	32	3	despite	despite	SCONJ
cana-1457	32	4	the	the	DET
cana-1457	32	5	region	region	NOUN
cana-1457	32	6	’s	’s	PART
cana-1457	32	7	potential	potential	ADJ
cana-1457	32	8	,	,	PUNCT
cana-1457	32	9	small	small	ADJ
cana-1457	32	10	-	-	PUNCT
cana-1457	32	11	scale	scale	NOUN
cana-1457	32	12	tea	tea	NOUN
cana-1457	32	13	farmers	farmer	NOUN
cana-1457	32	14	in	in	ADP
cana-1457	32	15	the	the	DET
cana-1457	32	16	nilgiris	nilgiris	NOUN
cana-1457	32	17	face	face	VERB
cana-1457	32	18	several	several	ADJ
cana-1457	32	19	challenges	challenge	NOUN
cana-1457	32	20	that	that	PRON
cana-1457	32	21	threaten	threaten	VERB
cana-1457	32	22	their	their	PRON
cana-1457	32	23	livelihood	livelihood	NOUN
cana-1457	32	24	.	.	PUNCT
cana-1457	33	1	the	the	DET
cana-1457	33	2	primary	primary	ADJ
cana-1457	33	3	challenges	challenge	NOUN
cana-1457	33	4	include	include	VERB
cana-1457	33	5	fluctuating	fluctuate	VERB
cana-1457	33	6	market	market	NOUN
cana-1457	33	7	prices	price	NOUN
cana-1457	33	8	,	,	PUNCT
cana-1457	33	9	unpredictable	unpredictable	ADJ
cana-1457	33	10	weather	weather	NOUN
cana-1457	33	11	patterns	pattern	NOUN
cana-1457	33	12	,	,	PUNCT
cana-1457	33	13	and	and	CCONJ
cana-1457	33	14	the	the	DET
cana-1457	33	15	difficulty	difficulty	NOUN
cana-1457	33	16	of	of	ADP
cana-1457	33	17	maintaining	maintain	VERB
cana-1457	33	18	consistent	consistent	ADJ
cana-1457	33	19	quality	quality	NOUN
cana-1457	33	20	in	in	ADP
cana-1457	33	21	tea	tea	NOUN
cana-1457	33	22	production	production	NOUN
cana-1457	33	23	.	.	PUNCT
cana-1457	34	1	this	this	DET
cana-1457	34	2	research	research	NOUN
cana-1457	34	3	focuses	focus	VERB
cana-1457	34	4	on	on	ADP
cana-1457	34	5	addressing	address	VERB
cana-1457	34	6	some	some	PRON
cana-1457	34	7	of	of	ADP
cana-1457	34	8	these	these	DET
cana-1457	34	9	challenges	challenge	NOUN
cana-1457	34	10	by	by	ADP
cana-1457	34	11	applying	apply	VERB
cana-1457	34	12	iot	iot	NOUN
cana-1457	34	13	-	-	PUNCT
cana-1457	34	14	based	base	VERB
cana-1457	34	15	real	real	ADJ
cana-1457	34	16	-	-	PUNCT
cana-1457	34	17	time	time	NOUN
cana-1457	34	18	monitoring	monitoring	NOUN
cana-1457	34	19	and	and	CCONJ
cana-1457	34	20	machine	machine	NOUN
cana-1457	34	21	learning	learn	VERB
cana-1457	34	22	techniques	technique	NOUN
cana-1457	34	23	to	to	PART
cana-1457	34	24	optimize	optimize	VERB
cana-1457	34	25	the	the	DET
cana-1457	34	26	tea	tea	NOUN
cana-1457	34	27	withering	wither	VERB
cana-1457	34	28	process	process	NOUN
cana-1457	34	29	,	,	PUNCT
cana-1457	34	30	a	a	DET
cana-1457	34	31	critical	critical	ADJ
cana-1457	34	32	stage	stage	NOUN
cana-1457	34	33	in	in	ADP
cana-1457	34	34	tea	tea	NOUN
cana-1457	34	35	production	production	NOUN
cana-1457	34	36	that	that	PRON
cana-1457	34	37	directly	directly	ADV
cana-1457	34	38	influences	influence	VERB
cana-1457	34	39	the	the	DET
cana-1457	34	40	quality	quality	NOUN
cana-1457	34	41	and	and	CCONJ
cana-1457	34	42	flavor	flavor	NOUN
cana-1457	34	43	of	of	ADP
cana-1457	34	44	the	the	DET
cana-1457	34	45	final	final	ADJ
cana-1457	34	46	product	product	NOUN
cana-1457	34	47	.	.	PUNCT
cana-1457	35	1	by	by	ADP
cana-1457	35	2	combining	combine	VERB
cana-1457	35	3	datadriven	datadriven	ADJ
cana-1457	35	4	technologies	technology	NOUN
cana-1457	35	5	with	with	ADP
cana-1457	35	6	traditional	traditional	ADJ
cana-1457	35	7	tea	tea	NOUN
cana-1457	35	8	processing	processing	NOUN
cana-1457	35	9	methods	method	NOUN
cana-1457	35	10	,	,	PUNCT
cana-1457	35	11	this	this	DET
cana-1457	35	12	research	research	NOUN
cana-1457	35	13	aims	aim	VERB
cana-1457	35	14	to	to	PART
cana-1457	35	15	enhance	enhance	VERB
cana-1457	35	16	the	the	DET
cana-1457	35	17	quality	quality	NOUN
cana-1457	35	18	and	and	CCONJ
cana-1457	35	19	efficiency	efficiency	NOUN
cana-1457	35	20	of	of	ADP
cana-1457	35	21	tea	tea	NOUN
cana-1457	35	22	production	production	NOUN
cana-1457	35	23	for	for	ADP
cana-1457	35	24	small	small	ADJ
cana-1457	35	25	farmers	farmer	NOUN
cana-1457	35	26	in	in	ADP
cana-1457	35	27	the	the	DET
cana-1457	35	28	nilgiris	nilgiris	NOUN
cana-1457	35	29	,	,	PUNCT
cana-1457	35	30	ultimately	ultimately	ADV
cana-1457	35	31	leading	lead	VERB
cana-1457	35	32	to	to	ADP
cana-1457	35	33	better	well	ADJ
cana-1457	35	34	livelihoods	livelihood	NOUN
cana-1457	35	35	and	and	CCONJ
cana-1457	35	36	economic	economic	ADJ
cana-1457	35	37	stability	stability	NOUN
cana-1457	35	38	for	for	ADP
cana-1457	35	39	these	these	DET
cana-1457	35	40	farmers	farmer	NOUN
cana-1457	35	41	.	.	PUNCT
cana-1457	36	1	the	the	DET
cana-1457	36	2	primary	primary	ADJ
cana-1457	36	3	goal	goal	NOUN
cana-1457	36	4	of	of	ADP
cana-1457	36	5	this	this	DET
cana-1457	36	6	study	study	NOUN
cana-1457	36	7	is	be	AUX
cana-1457	36	8	to	to	PART
cana-1457	36	9	develop	develop	VERB
cana-1457	36	10	a	a	DET
cana-1457	36	11	system	system	NOUN
cana-1457	36	12	that	that	PRON
cana-1457	36	13	leverages	leverage	VERB
cana-1457	36	14	modern	modern	ADJ
cana-1457	36	15	technological	technological	ADJ
cana-1457	36	16	advancements	advancement	NOUN
cana-1457	36	17	,	,	PUNCT
cana-1457	36	18	such	such	ADJ
cana-1457	36	19	as	as	ADP
cana-1457	36	20	iot	iot	ADJ
cana-1457	36	21	sensors	sensor	NOUN
cana-1457	36	22	and	and	CCONJ
cana-1457	36	23	machine	machine	NOUN
cana-1457	36	24	learning	learning	NOUN
cana-1457	36	25	algorithms	algorithm	NOUN
cana-1457	36	26	,	,	PUNCT
cana-1457	36	27	to	to	PART
cana-1457	36	28	help	help	VERB
cana-1457	36	29	small	small	ADJ
cana-1457	36	30	-	-	PUNCT
cana-1457	36	31	scale	scale	NOUN
cana-1457	36	32	farmers	farmer	NOUN
cana-1457	36	33	in	in	ADP
cana-1457	36	34	the	the	DET
cana-1457	36	35	nilgiris	nilgiris	NOUN
cana-1457	36	36	optimize	optimize	VERB
cana-1457	36	37	their	their	PRON
cana-1457	36	38	tea	tea	NOUN
cana-1457	36	39	withering	wither	VERB
cana-1457	36	40	process	process	NOUN
cana-1457	36	41	.	.	PUNCT
cana-1457	37	1	the	the	DET
cana-1457	37	2	system	system	NOUN
cana-1457	37	3	provides	provide	VERB
cana-1457	37	4	real	real	ADJ
cana-1457	37	5	-	-	PUNCT
cana-1457	37	6	time	time	NOUN
cana-1457	37	7	monitoring	monitoring	NOUN
cana-1457	37	8	of	of	ADP
cana-1457	37	9	environmental	environmental	ADJ
cana-1457	37	10	factors	factor	NOUN
cana-1457	37	11	like	like	ADP
cana-1457	37	12	temperature	temperature	NOUN
cana-1457	37	13	,	,	PUNCT
cana-1457	37	14	humidity	humidity	NOUN
cana-1457	37	15	,	,	PUNCT
cana-1457	37	16	and	and	CCONJ
cana-1457	37	17	moisture	moisture	NOUN
cana-1457	37	18	content	content	NOUN
cana-1457	37	19	,	,	PUNCT
cana-1457	37	20	and	and	CCONJ
cana-1457	37	21	uses	use	VERB
cana-1457	37	22	machine	machine	NOUN
cana-1457	37	23	learning	learning	NOUN
cana-1457	37	24	models	model	NOUN
cana-1457	37	25	to	to	PART
cana-1457	37	26	predict	predict	VERB
cana-1457	37	27	the	the	DET
cana-1457	37	28	optimal	optimal	ADJ
cana-1457	37	29	withering	withering	ADJ
cana-1457	37	30	conditions[1	conditions[1	NOUN
cana-1457	37	31	]	]	PUNCT
cana-1457	37	32	.	.	PUNCT
cana-1457	38	1	by	by	ADP
cana-1457	38	2	offering	offer	VERB
cana-1457	38	3	real	real	ADJ
cana-1457	38	4	-	-	PUNCT
cana-1457	38	5	time	time	NOUN
cana-1457	38	6	insights	insight	NOUN
cana-1457	38	7	and	and	CCONJ
cana-1457	38	8	predictions	prediction	NOUN
cana-1457	38	9	,	,	PUNCT
cana-1457	38	10	the	the	DET
cana-1457	38	11	system	system	NOUN
cana-1457	38	12	empowers	empower	VERB
cana-1457	38	13	farmers	farmer	NOUN
cana-1457	38	14	to	to	PART
cana-1457	38	15	make	make	VERB
cana-1457	38	16	informed	informed	ADJ
cana-1457	38	17	decisions	decision	NOUN
cana-1457	38	18	,	,	PUNCT
cana-1457	38	19	reduce	reduce	VERB
cana-1457	38	20	waste	waste	NOUN
cana-1457	38	21	,	,	PUNCT
cana-1457	38	22	and	and	CCONJ
cana-1457	38	23	improve	improve	VERB
cana-1457	38	24	the	the	DET
cana-1457	38	25	overall	overall	ADJ
cana-1457	38	26	quality	quality	NOUN
cana-1457	38	27	of	of	ADP
cana-1457	38	28	their	their	PRON
cana-1457	38	29	tea	tea	NOUN
cana-1457	38	30	leaves	leave	NOUN
cana-1457	38	31	.	.	PUNCT
cana-1457	39	1	this	this	PRON
cana-1457	39	2	,	,	PUNCT
cana-1457	39	3	in	in	ADP
cana-1457	39	4	turn	turn	NOUN
cana-1457	39	5	,	,	PUNCT
cana-1457	39	6	increases	increase	VERB
cana-1457	39	7	the	the	DET
cana-1457	39	8	value	value	NOUN
cana-1457	39	9	of	of	ADP
cana-1457	39	10	their	their	PRON
cana-1457	39	11	product	product	NOUN
cana-1457	39	12	in	in	ADP
cana-1457	39	13	the	the	DET
cana-1457	39	14	marketplace	marketplace	NOUN
cana-1457	39	15	,	,	PUNCT
cana-1457	39	16	enhancing	enhance	VERB
cana-1457	39	17	their	their	PRON
cana-1457	39	18	income	income	NOUN
cana-1457	39	19	and	and	CCONJ
cana-1457	39	20	livelihood	livelihood	NOUN
cana-1457	39	21	.	.	PUNCT
cana-1457	40	1	1.1	1.1	NUM
cana-1457	40	2	the	the	DET
cana-1457	40	3	importance	importance	NOUN
cana-1457	40	4	of	of	ADP
cana-1457	40	5	nilgiris	nilgiris	NOUN
cana-1457	40	6	tea	tea	NOUN
cana-1457	40	7	and	and	CCONJ
cana-1457	40	8	the	the	DET
cana-1457	40	9	challenges	challenge	NOUN
cana-1457	40	10	faced	face	VERB
cana-1457	40	11	by	by	ADP
cana-1457	40	12	small	small	ADJ
cana-1457	40	13	farmers	farmer	NOUN
cana-1457	40	14	the	the	DET
cana-1457	40	15	nilgiris	nilgiris	PROPN
cana-1457	40	16	district	district	NOUN
cana-1457	40	17	is	be	AUX
cana-1457	40	18	one	one	NUM
cana-1457	40	19	of	of	ADP
cana-1457	40	20	india	india	PROPN
cana-1457	40	21	’s	’s	PART
cana-1457	40	22	most	most	ADV
cana-1457	40	23	prominent	prominent	ADJ
cana-1457	40	24	tea	tea	NOUN
cana-1457	40	25	-	-	PUNCT
cana-1457	40	26	growing	grow	VERB
cana-1457	40	27	regions	region	NOUN
cana-1457	40	28	,	,	PUNCT
cana-1457	40	29	renowned	renowne	VERB
cana-1457	40	30	for	for	ADP
cana-1457	40	31	its	its	PRON
cana-1457	40	32	distinctive	distinctive	ADJ
cana-1457	40	33	tea	tea	NOUN
cana-1457	40	34	leaves	leave	NOUN
cana-1457	40	35	that	that	PRON
cana-1457	40	36	produce	produce	VERB
cana-1457	40	37	a	a	DET
cana-1457	40	38	fragrant	fragrant	ADJ
cana-1457	40	39	,	,	PUNCT
cana-1457	40	40	bright	bright	ADJ
cana-1457	40	41	,	,	PUNCT
cana-1457	40	42	and	and	CCONJ
cana-1457	40	43	brisk	brisk	ADJ
cana-1457	40	44	tea	tea	NOUN
cana-1457	40	45	.	.	PUNCT
cana-1457	41	1	tea	tea	NOUN
cana-1457	41	2	cultivation	cultivation	NOUN
cana-1457	41	3	in	in	ADP
cana-1457	41	4	the	the	DET
cana-1457	41	5	nilgiris	nilgiris	NOUN
cana-1457	41	6	is	be	AUX
cana-1457	41	7	deeply	deeply	ADV
cana-1457	41	8	interwoven	interweave	VERB
cana-1457	41	9	with	with	ADP
cana-1457	41	10	the	the	DET
cana-1457	41	11	cultural	cultural	ADJ
cana-1457	41	12	and	and	CCONJ
cana-1457	41	13	economic	economic	ADJ
cana-1457	41	14	fabric	fabric	NOUN
cana-1457	41	15	of	of	ADP
cana-1457	41	16	the	the	DET
cana-1457	41	17	region	region	NOUN
cana-1457	41	18	,	,	PUNCT
cana-1457	41	19	providing	provide	VERB
cana-1457	41	20	employment	employment	NOUN
cana-1457	41	21	and	and	CCONJ
cana-1457	41	22	income	income	NOUN
cana-1457	41	23	for	for	ADP
cana-1457	41	24	thousands	thousand	NOUN
cana-1457	41	25	of	of	ADP
cana-1457	41	26	smallholder	smallholder	NOUN
cana-1457	41	27	farmers	farmer	NOUN
cana-1457	41	28	.	.	PUNCT
cana-1457	42	1	these	these	DET
cana-1457	42	2	small	small	ADJ
cana-1457	42	3	-	-	PUNCT
cana-1457	42	4	scale	scale	NOUN
cana-1457	42	5	farmers	farmer	NOUN
cana-1457	42	6	typically	typically	ADV
cana-1457	42	7	cultivate	cultivate	VERB
cana-1457	42	8	tea	tea	NOUN
cana-1457	42	9	on	on	ADP
cana-1457	42	10	modest	modest	ADJ
cana-1457	42	11	plots	plot	NOUN
cana-1457	42	12	of	of	ADP
cana-1457	42	13	land	land	NOUN
cana-1457	42	14	,	,	PUNCT
cana-1457	42	15	often	often	ADV
cana-1457	42	16	using	use	VERB
cana-1457	42	17	traditional	traditional	ADJ
cana-1457	42	18	methods	method	NOUN
cana-1457	42	19	passed	pass	VERB
cana-1457	42	20	down	down	ADP
cana-1457	42	21	through	through	ADP
cana-1457	42	22	generations	generation	NOUN
cana-1457	42	23	.	.	PUNCT
cana-1457	43	1	despite	despite	SCONJ
cana-1457	43	2	the	the	DET
cana-1457	43	3	rich	rich	ADJ
cana-1457	43	4	heritage	heritage	NOUN
cana-1457	43	5	and	and	CCONJ
cana-1457	43	6	global	global	ADJ
cana-1457	43	7	demand	demand	NOUN
cana-1457	43	8	for	for	ADP
cana-1457	43	9	nilgiris	nilgiris	NOUN
cana-1457	43	10	tea[2	tea[2	PROPN
cana-1457	43	11	]	]	PUNCT
cana-1457	43	12	,	,	PUNCT
cana-1457	43	13	small	small	ADJ
cana-1457	43	14	farmers	farmer	NOUN
cana-1457	43	15	in	in	ADP
cana-1457	43	16	the	the	DET
cana-1457	43	17	region	region	NOUN
cana-1457	43	18	face	face	VERB
cana-1457	43	19	numerous	numerous	ADJ
cana-1457	43	20	challenges	challenge	NOUN
cana-1457	43	21	.	.	PUNCT
cana-1457	44	1	one	one	NUM
cana-1457	44	2	of	of	ADP
cana-1457	44	3	the	the	DET
cana-1457	44	4	most	most	ADV
cana-1457	44	5	significant	significant	ADJ
cana-1457	44	6	challenges	challenge	NOUN
cana-1457	44	7	is	be	AUX
cana-1457	44	8	the	the	DET
cana-1457	44	9	volatility	volatility	NOUN
cana-1457	44	10	of	of	ADP
cana-1457	44	11	tea	tea	NOUN
cana-1457	44	12	prices	price	NOUN
cana-1457	44	13	in	in	ADP
cana-1457	44	14	the	the	DET
cana-1457	44	15	global	global	ADJ
cana-1457	44	16	market	market	NOUN
cana-1457	44	17	.	.	PUNCT
cana-1457	45	1	small	small	ADJ
cana-1457	45	2	farmers	farmer	NOUN
cana-1457	45	3	often	often	ADV
cana-1457	45	4	find	find	VERB
cana-1457	45	5	themselves	themselves	PRON
cana-1457	45	6	at	at	ADP
cana-1457	45	7	the	the	DET
cana-1457	45	8	mercy	mercy	NOUN
cana-1457	45	9	of	of	ADP
cana-1457	45	10	fluctuating	fluctuate	VERB
cana-1457	45	11	demand	demand	NOUN
cana-1457	45	12	and	and	CCONJ
cana-1457	45	13	pricing	pricing	NOUN
cana-1457	45	14	,	,	PUNCT
cana-1457	45	15	making	make	VERB
cana-1457	45	16	it	it	PRON
cana-1457	45	17	difficult	difficult	ADJ
cana-1457	45	18	to	to	PART
cana-1457	45	19	achieve	achieve	VERB
cana-1457	45	20	consistent	consistent	ADJ
cana-1457	45	21	income	income	NOUN
cana-1457	45	22	levels	level	NOUN
cana-1457	45	23	.	.	PUNCT
cana-1457	46	1	furthermore	furthermore	ADV
cana-1457	46	2	,	,	PUNCT
cana-1457	46	3	the	the	DET
cana-1457	46	4	unpredictable	unpredictable	ADJ
cana-1457	46	5	climate	climate	NOUN
cana-1457	46	6	of	of	ADP
cana-1457	46	7	the	the	DET
cana-1457	46	8	nilgiris	nilgiris	NOUN
cana-1457	46	9	,	,	PUNCT
cana-1457	46	10	with	with	ADP
cana-1457	46	11	its	its	PRON
cana-1457	46	12	sudden	sudden	ADJ
cana-1457	46	13	changes	change	NOUN
cana-1457	46	14	in	in	ADP
cana-1457	46	15	temperature	temperature	NOUN
cana-1457	46	16	,	,	PUNCT
cana-1457	46	17	humidity	humidity	NOUN
cana-1457	46	18	,	,	PUNCT
cana-1457	46	19	and	and	CCONJ
cana-1457	46	20	rainfall	rainfall	NOUN
cana-1457	46	21	,	,	PUNCT
cana-1457	46	22	makes	make	VERB
cana-1457	46	23	it	it	PRON
cana-1457	46	24	challenging	challenge	VERB
cana-1457	46	25	to	to	PART
cana-1457	46	26	maintain	maintain	VERB
cana-1457	46	27	the	the	DET
cana-1457	46	28	quality	quality	NOUN
cana-1457	46	29	of	of	ADP
cana-1457	46	30	the	the	DET
cana-1457	46	31	tea	tea	NOUN
cana-1457	46	32	leaves	leave	NOUN
cana-1457	46	33	during	during	ADP
cana-1457	46	34	key	key	ADJ
cana-1457	46	35	stages	stage	NOUN
cana-1457	46	36	of	of	ADP
cana-1457	46	37	processing	processing	NOUN
cana-1457	46	38	,	,	PUNCT
cana-1457	46	39	particularly	particularly	ADV
cana-1457	46	40	during	during	ADP
cana-1457	46	41	the	the	DET
cana-1457	46	42	withering	wither	VERB
cana-1457	46	43	stage	stage	NOUN
cana-1457	46	44	.	.	PUNCT
cana-1457	47	1	without	without	ADP
cana-1457	47	2	the	the	DET
cana-1457	47	3	ability	ability	NOUN
cana-1457	47	4	to	to	PART
cana-1457	47	5	control	control	VERB
cana-1457	47	6	these	these	DET
cana-1457	47	7	environmental	environmental	ADJ
cana-1457	47	8	variables	variable	NOUN
cana-1457	47	9	,	,	PUNCT
cana-1457	47	10	farmers	farmer	NOUN
cana-1457	47	11	often	often	ADV
cana-1457	47	12	experience	experience	VERB
cana-1457	47	13	inconsistency	inconsistency	NOUN
cana-1457	47	14	in	in	ADP
cana-1457	47	15	the	the	DET
cana-1457	47	16	final	final	ADJ
cana-1457	47	17	tea	tea	NOUN
cana-1457	47	18	product	product	NOUN
cana-1457	47	19	,	,	PUNCT
cana-1457	47	20	which	which	PRON
cana-1457	47	21	can	can	AUX
cana-1457	47	22	negatively	negatively	ADV
cana-1457	47	23	affect	affect	VERB
cana-1457	47	24	its	its	PRON
cana-1457	47	25	market	market	NOUN
cana-1457	47	26	value	value	NOUN
cana-1457	47	27	.	.	PUNCT
cana-1457	48	1	additionally	additionally	ADV
cana-1457	48	2	,	,	PUNCT
cana-1457	48	3	most	most	ADJ
cana-1457	48	4	small	small	ADJ
cana-1457	48	5	farmers	farmer	NOUN
cana-1457	48	6	in	in	ADP
cana-1457	48	7	the	the	DET
cana-1457	48	8	nilgiris	nilgiris	NOUN
cana-1457	48	9	lack	lack	NOUN
cana-1457	48	10	access	access	NOUN
cana-1457	48	11	to	to	ADP
cana-1457	48	12	advanced	advanced	ADJ
cana-1457	48	13	technologies	technology	NOUN
cana-1457	48	14	and	and	CCONJ
cana-1457	48	15	infrastructure	infrastructure	NOUN
cana-1457	48	16	that	that	PRON
cana-1457	48	17	could	could	AUX
cana-1457	48	18	help	help	VERB
cana-1457	48	19	them	they	PRON
cana-1457	48	20	improve	improve	VERB
cana-1457	48	21	the	the	DET
cana-1457	48	22	efficiency	efficiency	NOUN
cana-1457	48	23	and	and	CCONJ
cana-1457	48	24	quality	quality	NOUN
cana-1457	48	25	of	of	ADP
cana-1457	48	26	their	their	PRON
cana-1457	48	27	tea	tea	NOUN
cana-1457	48	28	production	production	NOUN
cana-1457	48	29	.	.	PUNCT
cana-1457	49	1	the	the	DET
cana-1457	49	2	traditional	traditional	ADJ
cana-1457	49	3	methods	method	NOUN
cana-1457	49	4	of	of	ADP
cana-1457	49	5	monitoring	monitor	VERB
cana-1457	49	6	environmental	environmental	ADJ
cana-1457	49	7	conditions	condition	NOUN
cana-1457	49	8	during	during	ADP
cana-1457	49	9	tea	tea	NOUN
cana-1457	49	10	withering	wither	VERB
cana-1457	49	11	are	be	AUX
cana-1457	49	12	manual	manual	ADJ
cana-1457	49	13	,	,	PUNCT
cana-1457	49	14	timecommunications	timecommunication	NOUN
cana-1457	49	15	on	on	ADP
cana-1457	49	16	applied	apply	VERB
cana-1457	49	17	nonlinear	nonlinear	ADJ
cana-1457	49	18	analysis	analysis	NOUN
cana-1457	49	19	issn	issn	NOUN
cana-1457	49	20	:	:	PUNCT
cana-1457	49	21	1074	1074	NUM
cana-1457	49	22	-	-	PUNCT
cana-1457	49	23	133x	133x	NUM
cana-1457	49	24	vol	vol	NOUN
cana-1457	49	25	31	31	NUM
cana-1457	49	26	no	no	NOUN
cana-1457	49	27	.	.	PUNCT
cana-1457	50	1	8s	8s	PROPN
cana-1457	50	2	(	(	PUNCT
cana-1457	50	3	2024	2024	NUM
cana-1457	50	4	)	)	PUNCT
cana-1457	50	5	58	58	NUM
cana-1457	50	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	50	7	consuming	consuming	NOUN
cana-1457	50	8	,	,	PUNCT
cana-1457	50	9	and	and	CCONJ
cana-1457	50	10	prone	prone	ADJ
cana-1457	50	11	to	to	ADP
cana-1457	50	12	errors	error	NOUN
cana-1457	50	13	.	.	PUNCT
cana-1457	51	1	this	this	DET
cana-1457	51	2	lack	lack	NOUN
cana-1457	51	3	of	of	ADP
cana-1457	51	4	technological	technological	ADJ
cana-1457	51	5	intervention	intervention	NOUN
cana-1457	51	6	limits	limit	VERB
cana-1457	51	7	farmers	farmer	NOUN
cana-1457	51	8	'	'	PART
cana-1457	51	9	ability	ability	NOUN
cana-1457	51	10	to	to	PART
cana-1457	51	11	optimize	optimize	VERB
cana-1457	51	12	their	their	PRON
cana-1457	51	13	processes	process	NOUN
cana-1457	51	14	and	and	CCONJ
cana-1457	51	15	meet	meet	VERB
cana-1457	51	16	the	the	DET
cana-1457	51	17	quality	quality	NOUN
cana-1457	51	18	standards	standard	NOUN
cana-1457	51	19	required	require	VERB
cana-1457	51	20	for	for	ADP
cana-1457	51	21	higher	high	ADJ
cana-1457	51	22	market	market	NOUN
cana-1457	51	23	prices	price	NOUN
cana-1457	51	24	.	.	PUNCT
cana-1457	52	1	1.2	1.2	NUM
cana-1457	52	2	tea	tea	NOUN
cana-1457	52	3	withering	wither	VERB
cana-1457	52	4	process	process	NOUN
cana-1457	52	5	and	and	CCONJ
cana-1457	52	6	its	its	PRON
cana-1457	52	7	importance	importance	NOUN
cana-1457	52	8	among	among	ADP
cana-1457	52	9	the	the	DET
cana-1457	52	10	stages	stage	NOUN
cana-1457	52	11	of	of	ADP
cana-1457	52	12	tea	tea	NOUN
cana-1457	52	13	production	production	NOUN
cana-1457	52	14	,	,	PUNCT
cana-1457	52	15	withering	wither	VERB
cana-1457	52	16	is	be	AUX
cana-1457	52	17	perhaps	perhaps	ADV
cana-1457	52	18	one	one	NUM
cana-1457	52	19	of	of	ADP
cana-1457	52	20	the	the	DET
cana-1457	52	21	most	most	ADV
cana-1457	52	22	crucial	crucial	ADJ
cana-1457	52	23	for	for	ADP
cana-1457	52	24	determining	determine	VERB
cana-1457	52	25	the	the	DET
cana-1457	52	26	final	final	ADJ
cana-1457	52	27	flavor	flavor	NOUN
cana-1457	52	28	and	and	CCONJ
cana-1457	52	29	quality	quality	NOUN
cana-1457	52	30	of	of	ADP
cana-1457	52	31	tea	tea	NOUN
cana-1457	52	32	.	.	PUNCT
cana-1457	53	1	withering	wither	VERB
cana-1457	53	2	involves	involve	VERB
cana-1457	53	3	the	the	DET
cana-1457	53	4	controlled	control	VERB
cana-1457	53	5	drying	drying	NOUN
cana-1457	53	6	of	of	ADP
cana-1457	53	7	tea	tea	NOUN
cana-1457	53	8	leaves	leave	NOUN
cana-1457	53	9	after	after	SCONJ
cana-1457	53	10	they	they	PRON
cana-1457	53	11	have	have	AUX
cana-1457	53	12	been	be	AUX
cana-1457	53	13	harvested	harvest	VERB
cana-1457	53	14	.	.	PUNCT
cana-1457	54	1	during	during	ADP
cana-1457	54	2	this	this	DET
cana-1457	54	3	stage	stage	NOUN
cana-1457	54	4	,	,	PUNCT
cana-1457	54	5	the	the	DET
cana-1457	54	6	moisture	moisture	NOUN
cana-1457	54	7	content	content	NOUN
cana-1457	54	8	in	in	ADP
cana-1457	54	9	the	the	DET
cana-1457	54	10	leaves	leave	NOUN
cana-1457	54	11	is	be	AUX
cana-1457	54	12	reduced	reduce	VERB
cana-1457	54	13	,	,	PUNCT
cana-1457	54	14	and	and	CCONJ
cana-1457	54	15	chemical	chemical	NOUN
cana-1457	54	16	changes	change	NOUN
cana-1457	54	17	occur	occur	VERB
cana-1457	54	18	that	that	PRON
cana-1457	54	19	are	be	AUX
cana-1457	54	20	essential	essential	ADJ
cana-1457	54	21	for	for	ADP
cana-1457	54	22	developing	develop	VERB
cana-1457	54	23	the	the	DET
cana-1457	54	24	flavor	flavor	NOUN
cana-1457	54	25	profile	profile	NOUN
cana-1457	54	26	of	of	ADP
cana-1457	54	27	the	the	DET
cana-1457	54	28	tea	tea	NOUN
cana-1457	54	29	.	.	PUNCT
cana-1457	55	1	in	in	ADP
cana-1457	55	2	the	the	DET
cana-1457	55	3	case	case	NOUN
cana-1457	55	4	of	of	ADP
cana-1457	55	5	nilgiris	nilgiris	PROPN
cana-1457	55	6	tea	tea	PROPN
cana-1457	55	7	,	,	PUNCT
cana-1457	55	8	where	where	SCONJ
cana-1457	55	9	flavor	flavor	NOUN
cana-1457	55	10	and	and	CCONJ
cana-1457	55	11	aroma	aroma	NOUN
cana-1457	55	12	are	be	AUX
cana-1457	55	13	key	key	ADJ
cana-1457	55	14	differentiators	differentiator	NOUN
cana-1457	55	15	,	,	PUNCT
cana-1457	55	16	the	the	DET
cana-1457	55	17	withering	wither	VERB
cana-1457	55	18	process	process	NOUN
cana-1457	55	19	plays	play	VERB
cana-1457	55	20	a	a	DET
cana-1457	55	21	pivotal	pivotal	ADJ
cana-1457	55	22	role	role	NOUN
cana-1457	55	23	in	in	ADP
cana-1457	55	24	creating	create	VERB
cana-1457	55	25	the	the	DET
cana-1457	55	26	bright	bright	ADJ
cana-1457	55	27	and	and	CCONJ
cana-1457	55	28	brisk	brisk	ADJ
cana-1457	55	29	characteristics	characteristic	NOUN
cana-1457	55	30	that	that	PRON
cana-1457	55	31	make	make	VERB
cana-1457	55	32	the	the	DET
cana-1457	55	33	tea	tea	NOUN
cana-1457	55	34	distinctive[2	distinctive[2	NOUN
cana-1457	55	35	]	]	PUNCT
cana-1457	55	36	.	.	PUNCT
cana-1457	56	1	the	the	DET
cana-1457	56	2	ideal	ideal	ADJ
cana-1457	56	3	withering	wither	VERB
cana-1457	56	4	process	process	NOUN
cana-1457	56	5	requires	require	VERB
cana-1457	56	6	careful	careful	ADJ
cana-1457	56	7	control	control	NOUN
cana-1457	56	8	of	of	ADP
cana-1457	56	9	environmental	environmental	ADJ
cana-1457	56	10	factors	factor	NOUN
cana-1457	56	11	such	such	ADJ
cana-1457	56	12	as	as	ADP
cana-1457	56	13	temperature	temperature	NOUN
cana-1457	56	14	,	,	PUNCT
cana-1457	56	15	humidity	humidity	NOUN
cana-1457	56	16	,	,	PUNCT
cana-1457	56	17	and	and	CCONJ
cana-1457	56	18	airflow	airflow	NOUN
cana-1457	56	19	.	.	PUNCT
cana-1457	57	1	if	if	SCONJ
cana-1457	57	2	the	the	DET
cana-1457	57	3	tea	tea	NOUN
cana-1457	57	4	leaves	leave	NOUN
cana-1457	57	5	are	be	AUX
cana-1457	57	6	over	over	ADV
cana-1457	57	7	-	-	PUNCT
cana-1457	57	8	withered	withered	ADJ
cana-1457	57	9	,	,	PUNCT
cana-1457	57	10	they	they	PRON
cana-1457	57	11	can	can	AUX
cana-1457	57	12	become	become	VERB
cana-1457	57	13	too	too	ADV
cana-1457	57	14	dry	dry	ADJ
cana-1457	57	15	,	,	PUNCT
cana-1457	57	16	resulting	result	VERB
cana-1457	57	17	in	in	ADP
cana-1457	57	18	a	a	DET
cana-1457	57	19	harsh	harsh	ADJ
cana-1457	57	20	,	,	PUNCT
cana-1457	57	21	flat	flat	ADV
cana-1457	57	22	-	-	PUNCT
cana-1457	57	23	tasting	taste	VERB
cana-1457	57	24	tea	tea	NOUN
cana-1457	57	25	.	.	PUNCT
cana-1457	58	1	conversely	conversely	ADV
cana-1457	58	2	,	,	PUNCT
cana-1457	58	3	under	under	ADV
cana-1457	58	4	-	-	PUNCT
cana-1457	58	5	withered	withered	ADJ
cana-1457	58	6	leaves	leave	NOUN
cana-1457	58	7	may	may	AUX
cana-1457	58	8	retain	retain	VERB
cana-1457	58	9	too	too	ADV
cana-1457	58	10	much	much	ADJ
cana-1457	58	11	moisture	moisture	NOUN
cana-1457	58	12	,	,	PUNCT
cana-1457	58	13	leading	lead	VERB
cana-1457	58	14	to	to	ADP
cana-1457	58	15	poor	poor	ADJ
cana-1457	58	16	oxidation	oxidation	NOUN
cana-1457	58	17	and	and	CCONJ
cana-1457	58	18	a	a	DET
cana-1457	58	19	lack	lack	NOUN
cana-1457	58	20	of	of	ADP
cana-1457	58	21	flavor	flavor	NOUN
cana-1457	58	22	complexity	complexity	NOUN
cana-1457	58	23	.	.	PUNCT
cana-1457	59	1	given	give	VERB
cana-1457	59	2	the	the	DET
cana-1457	59	3	importance	importance	NOUN
cana-1457	59	4	of	of	ADP
cana-1457	59	5	these	these	DET
cana-1457	59	6	factors	factor	NOUN
cana-1457	59	7	,	,	PUNCT
cana-1457	59	8	optimizing	optimize	VERB
cana-1457	59	9	the	the	DET
cana-1457	59	10	withering	wither	VERB
cana-1457	59	11	process	process	NOUN
cana-1457	59	12	is	be	AUX
cana-1457	59	13	critical	critical	ADJ
cana-1457	59	14	to	to	ADP
cana-1457	59	15	maintaining	maintain	VERB
cana-1457	59	16	the	the	DET
cana-1457	59	17	quality	quality	NOUN
cana-1457	59	18	and	and	CCONJ
cana-1457	59	19	marketability	marketability	NOUN
cana-1457	59	20	of	of	ADP
cana-1457	59	21	nilgiris	nilgiris	PROPN
cana-1457	59	22	tea	tea	NOUN
cana-1457	59	23	.	.	PUNCT
cana-1457	60	1	unfortunately	unfortunately	ADV
cana-1457	60	2	,	,	PUNCT
cana-1457	60	3	the	the	DET
cana-1457	60	4	traditional	traditional	ADJ
cana-1457	60	5	methods	method	NOUN
cana-1457	60	6	used	use	VERB
cana-1457	60	7	by	by	ADP
cana-1457	60	8	small	small	ADJ
cana-1457	60	9	farmers	farmer	NOUN
cana-1457	60	10	to	to	PART
cana-1457	60	11	monitor	monitor	VERB
cana-1457	60	12	the	the	DET
cana-1457	60	13	withering	wither	VERB
cana-1457	60	14	process	process	NOUN
cana-1457	60	15	are	be	AUX
cana-1457	60	16	often	often	ADV
cana-1457	60	17	rudimentary	rudimentary	ADJ
cana-1457	60	18	and	and	CCONJ
cana-1457	60	19	reliant	reliant	ADJ
cana-1457	60	20	on	on	ADP
cana-1457	60	21	manual	manual	ADJ
cana-1457	60	22	observation	observation	NOUN
cana-1457	60	23	.	.	PUNCT
cana-1457	61	1	this	this	DET
cana-1457	61	2	approach	approach	NOUN
cana-1457	61	3	is	be	AUX
cana-1457	61	4	not	not	PART
cana-1457	61	5	only	only	ADV
cana-1457	61	6	labour	labour	NOUN
cana-1457	61	7	intensive	intensive	ADJ
cana-1457	61	8	but	but	CCONJ
cana-1457	61	9	also	also	ADV
cana-1457	61	10	lacks	lack	VERB
cana-1457	61	11	precision	precision	NOUN
cana-1457	61	12	,	,	PUNCT
cana-1457	61	13	leading	lead	VERB
cana-1457	61	14	to	to	ADP
cana-1457	61	15	inconsistent	inconsistent	ADJ
cana-1457	61	16	results	result	NOUN
cana-1457	61	17	.	.	PUNCT
cana-1457	62	1	the	the	DET
cana-1457	62	2	ability	ability	NOUN
cana-1457	62	3	to	to	PART
cana-1457	62	4	monitor	monitor	VERB
cana-1457	62	5	and	and	CCONJ
cana-1457	62	6	control	control	VERB
cana-1457	62	7	the	the	DET
cana-1457	62	8	withering	wither	VERB
cana-1457	62	9	process	process	NOUN
cana-1457	62	10	more	more	ADV
cana-1457	62	11	accurately	accurately	ADV
cana-1457	62	12	would	would	AUX
cana-1457	62	13	enable	enable	VERB
cana-1457	62	14	small	small	ADJ
cana-1457	62	15	farmers	farmer	NOUN
cana-1457	62	16	to	to	PART
cana-1457	62	17	produce	produce	VERB
cana-1457	62	18	tea	tea	NOUN
cana-1457	62	19	of	of	ADP
cana-1457	62	20	consistent	consistent	ADJ
cana-1457	62	21	quality	quality	NOUN
cana-1457	62	22	,	,	PUNCT
cana-1457	62	23	thereby	thereby	ADV
cana-1457	62	24	enhancing	enhance	VERB
cana-1457	62	25	the	the	DET
cana-1457	62	26	value	value	NOUN
cana-1457	62	27	of	of	ADP
cana-1457	62	28	their	their	PRON
cana-1457	62	29	product	product	NOUN
cana-1457	62	30	in	in	ADP
cana-1457	62	31	the	the	DET
cana-1457	62	32	marketplace	marketplace	NOUN
cana-1457	62	33	.	.	PUNCT
cana-1457	63	1	1.3	1.3	NUM
cana-1457	63	2	leveraging	leverage	VERB
cana-1457	63	3	iot	iot	NOUN
cana-1457	63	4	for	for	ADP
cana-1457	63	5	real	real	ADJ
cana-1457	63	6	-	-	PUNCT
cana-1457	63	7	time	time	NOUN
cana-1457	63	8	monitoring	monitoring	NOUN
cana-1457	63	9	in	in	ADP
cana-1457	63	10	tea	tea	NOUN
cana-1457	63	11	production	production	NOUN
cana-1457	63	12	the	the	DET
cana-1457	63	13	emergence	emergence	NOUN
cana-1457	63	14	of	of	ADP
cana-1457	63	15	internet	internet	NOUN
cana-1457	63	16	of	of	ADP
cana-1457	63	17	things	thing	NOUN
cana-1457	63	18	(	(	PUNCT
cana-1457	63	19	iot	iot	NOUN
cana-1457	63	20	)	)	PUNCT
cana-1457	63	21	technologies	technology	NOUN
cana-1457	63	22	has	have	AUX
cana-1457	63	23	opened	open	VERB
cana-1457	63	24	new	new	ADJ
cana-1457	63	25	possibilities	possibility	NOUN
cana-1457	63	26	for	for	ADP
cana-1457	63	27	monitoring	monitoring	NOUN
cana-1457	63	28	and	and	CCONJ
cana-1457	63	29	optimizing	optimize	VERB
cana-1457	63	30	agricultural	agricultural	ADJ
cana-1457	63	31	processes	process	NOUN
cana-1457	63	32	.	.	PUNCT
cana-1457	64	1	iot	iot	PROPN
cana-1457	64	2	refers	refer	VERB
cana-1457	64	3	to	to	ADP
cana-1457	64	4	a	a	DET
cana-1457	64	5	network	network	NOUN
cana-1457	64	6	of	of	ADP
cana-1457	64	7	physical	physical	ADJ
cana-1457	64	8	devices	device	NOUN
cana-1457	64	9	,	,	PUNCT
cana-1457	64	10	sensors	sensor	NOUN
cana-1457	64	11	,	,	PUNCT
cana-1457	64	12	and	and	CCONJ
cana-1457	64	13	software	software	NOUN
cana-1457	64	14	that	that	PRON
cana-1457	64	15	can	can	AUX
cana-1457	64	16	collect	collect	VERB
cana-1457	64	17	and	and	CCONJ
cana-1457	64	18	exchange	exchange	VERB
cana-1457	64	19	data	datum	NOUN
cana-1457	64	20	in	in	ADP
cana-1457	64	21	real	real	ADJ
cana-1457	64	22	time	time	NOUN
cana-1457	64	23	.	.	PUNCT
cana-1457	65	1	in	in	ADP
cana-1457	65	2	agriculture	agriculture	PROPN
cana-1457	65	3	,	,	PUNCT
cana-1457	65	4	iot	iot	PROPN
cana-1457	65	5	devices	device	NOUN
cana-1457	65	6	are	be	AUX
cana-1457	65	7	increasingly	increasingly	ADV
cana-1457	65	8	being	be	AUX
cana-1457	65	9	used	use	VERB
cana-1457	65	10	to	to	PART
cana-1457	65	11	monitor	monitor	VERB
cana-1457	65	12	environmental	environmental	ADJ
cana-1457	65	13	conditions	condition	NOUN
cana-1457	65	14	,	,	PUNCT
cana-1457	65	15	automate	automate	NOUN
cana-1457	65	16	processes	process	NOUN
cana-1457	65	17	,	,	PUNCT
cana-1457	65	18	and	and	CCONJ
cana-1457	65	19	provide	provide	VERB
cana-1457	65	20	actionable	actionable	ADJ
cana-1457	65	21	insights	insight	NOUN
cana-1457	65	22	to	to	ADP
cana-1457	65	23	farmers	farmer	NOUN
cana-1457	65	24	.	.	PUNCT
cana-1457	66	1	for	for	ADP
cana-1457	66	2	tea	tea	NOUN
cana-1457	66	3	production	production	NOUN
cana-1457	66	4	,	,	PUNCT
cana-1457	66	5	iot	iot	ADJ
cana-1457	66	6	sensors	sensor	NOUN
cana-1457	66	7	can	can	AUX
cana-1457	66	8	be	be	AUX
cana-1457	66	9	used	use	VERB
cana-1457	66	10	to	to	PART
cana-1457	66	11	monitor	monitor	VERB
cana-1457	66	12	the	the	DET
cana-1457	66	13	key	key	ADJ
cana-1457	66	14	environmental	environmental	ADJ
cana-1457	66	15	variables	variable	NOUN
cana-1457	66	16	that	that	PRON
cana-1457	66	17	affect	affect	VERB
cana-1457	66	18	the	the	DET
cana-1457	66	19	withering	wither	VERB
cana-1457	66	20	process	process	NOUN
cana-1457	66	21	,	,	PUNCT
cana-1457	66	22	such	such	ADJ
cana-1457	66	23	as	as	ADP
cana-1457	66	24	temperature	temperature	NOUN
cana-1457	66	25	,	,	PUNCT
cana-1457	66	26	humidity	humidity	NOUN
cana-1457	66	27	,	,	PUNCT
cana-1457	66	28	and	and	CCONJ
cana-1457	66	29	moisture	moisture	NOUN
cana-1457	66	30	content	content	NOUN
cana-1457	66	31	.	.	PUNCT
cana-1457	67	1	in	in	ADP
cana-1457	67	2	this	this	DET
cana-1457	67	3	research	research	NOUN
cana-1457	67	4	,	,	PUNCT
cana-1457	67	5	iot	iot	ADJ
cana-1457	67	6	sensors	sensor	NOUN
cana-1457	67	7	such	such	ADJ
cana-1457	67	8	as	as	ADP
cana-1457	67	9	dht22	dht22	PROPN
cana-1457	67	10	(	(	PUNCT
cana-1457	67	11	for	for	ADP
cana-1457	67	12	temperature	temperature	NOUN
cana-1457	67	13	and	and	CCONJ
cana-1457	67	14	humidity	humidity	NOUN
cana-1457	67	15	)	)	PUNCT
cana-1457	67	16	and	and	CCONJ
cana-1457	67	17	capacitive	capacitive	ADJ
cana-1457	67	18	moisture	moisture	NOUN
cana-1457	67	19	sensors	sensor	NOUN
cana-1457	67	20	are	be	AUX
cana-1457	67	21	deployed	deploy	VERB
cana-1457	67	22	in	in	ADP
cana-1457	67	23	the	the	DET
cana-1457	67	24	tea	tea	NOUN
cana-1457	67	25	withering	wither	VERB
cana-1457	67	26	environment	environment	NOUN
cana-1457	67	27	to	to	PART
cana-1457	67	28	continuously	continuously	ADV
cana-1457	67	29	monitor	monitor	VERB
cana-1457	67	30	the	the	DET
cana-1457	67	31	conditions	condition	NOUN
cana-1457	67	32	.	.	PUNCT
cana-1457	68	1	these	these	DET
cana-1457	68	2	sensors	sensor	NOUN
cana-1457	68	3	are	be	AUX
cana-1457	68	4	connected	connect	VERB
cana-1457	68	5	to	to	ADP
cana-1457	68	6	a	a	DET
cana-1457	68	7	microcontroller	microcontroller	NOUN
cana-1457	68	8	(	(	PUNCT
cana-1457	68	9	such	such	ADJ
cana-1457	68	10	as	as	ADP
cana-1457	68	11	esp32	esp32	ADJ
cana-1457	68	12	)	)	PUNCT
cana-1457	68	13	,	,	PUNCT
cana-1457	68	14	which	which	PRON
cana-1457	68	15	transmits	transmit	VERB
cana-1457	68	16	the	the	DET
cana-1457	68	17	data	datum	NOUN
cana-1457	68	18	to	to	ADP
cana-1457	68	19	a	a	DET
cana-1457	68	20	cloud	cloud	NOUN
cana-1457	68	21	-	-	PUNCT
cana-1457	68	22	based	base	VERB
cana-1457	68	23	platform	platform	NOUN
cana-1457	68	24	in	in	ADP
cana-1457	68	25	real	real	ADJ
cana-1457	68	26	time	time	NOUN
cana-1457	68	27	.	.	PUNCT
cana-1457	69	1	by	by	ADP
cana-1457	69	2	collecting	collect	VERB
cana-1457	69	3	data	datum	NOUN
cana-1457	69	4	at	at	ADP
cana-1457	69	5	regular	regular	ADJ
cana-1457	69	6	intervals	interval	NOUN
cana-1457	69	7	,	,	PUNCT
cana-1457	69	8	the	the	DET
cana-1457	69	9	system	system	NOUN
cana-1457	69	10	provides	provide	VERB
cana-1457	69	11	an	an	DET
cana-1457	69	12	accurate	accurate	ADJ
cana-1457	69	13	and	and	CCONJ
cana-1457	69	14	upto	upto	ADJ
cana-1457	69	15	-	-	PUNCT
cana-1457	69	16	date	date	NOUN
cana-1457	69	17	picture	picture	NOUN
cana-1457	69	18	of	of	ADP
cana-1457	69	19	the	the	DET
cana-1457	69	20	environmental	environmental	ADJ
cana-1457	69	21	conditions	condition	NOUN
cana-1457	69	22	throughout	throughout	ADP
cana-1457	69	23	the	the	DET
cana-1457	69	24	withering	wither	VERB
cana-1457	69	25	process	process	NOUN
cana-1457	69	26	.	.	PUNCT
cana-1457	70	1	the	the	DET
cana-1457	70	2	iot	iot	PROPN
cana-1457	70	3	system	system	NOUN
cana-1457	70	4	used	use	VERB
cana-1457	70	5	in	in	ADP
cana-1457	70	6	this	this	DET
cana-1457	70	7	research	research	NOUN
cana-1457	70	8	is	be	AUX
cana-1457	70	9	designed	design	VERB
cana-1457	70	10	to	to	PART
cana-1457	70	11	be	be	AUX
cana-1457	70	12	simple	simple	ADJ
cana-1457	70	13	,	,	PUNCT
cana-1457	70	14	cost	cost	NOUN
cana-1457	70	15	-	-	PUNCT
cana-1457	70	16	effective	effective	ADJ
cana-1457	70	17	,	,	PUNCT
cana-1457	70	18	and	and	CCONJ
cana-1457	70	19	scalable	scalable	ADJ
cana-1457	70	20	,	,	PUNCT
cana-1457	70	21	making	make	VERB
cana-1457	70	22	it	it	PRON
cana-1457	70	23	accessible	accessible	ADJ
cana-1457	70	24	to	to	ADP
cana-1457	70	25	small	small	ADJ
cana-1457	70	26	-	-	PUNCT
cana-1457	70	27	scale	scale	NOUN
cana-1457	70	28	farmers	farmer	NOUN
cana-1457	70	29	in	in	ADP
cana-1457	70	30	the	the	DET
cana-1457	70	31	nilgiris[2	nilgiris[2	PROPN
cana-1457	70	32	]	]	PUNCT
cana-1457	70	33	.	.	PUNCT
cana-1457	71	1	by	by	ADP
cana-1457	71	2	leveraging	leverage	VERB
cana-1457	71	3	iot	iot	NOUN
cana-1457	71	4	technology	technology	NOUN
cana-1457	71	5	,	,	PUNCT
cana-1457	71	6	farmers	farmer	NOUN
cana-1457	71	7	can	can	AUX
cana-1457	71	8	move	move	VERB
cana-1457	71	9	away	away	ADV
cana-1457	71	10	from	from	ADP
cana-1457	71	11	manual	manual	ADJ
cana-1457	71	12	monitoring	monitoring	NOUN
cana-1457	71	13	and	and	CCONJ
cana-1457	71	14	gain	gain	VERB
cana-1457	71	15	real	real	ADJ
cana-1457	71	16	-	-	PUNCT
cana-1457	71	17	time	time	NOUN
cana-1457	71	18	insights	insight	NOUN
cana-1457	71	19	into	into	ADP
cana-1457	71	20	their	their	PRON
cana-1457	71	21	withering	wither	VERB
cana-1457	71	22	process	process	NOUN
cana-1457	71	23	,	,	PUNCT
cana-1457	71	24	helping	help	VERB
cana-1457	71	25	them	they	PRON
cana-1457	71	26	make	make	VERB
cana-1457	71	27	timely	timely	ADJ
cana-1457	71	28	decisions	decision	NOUN
cana-1457	71	29	to	to	PART
cana-1457	71	30	optimize	optimize	VERB
cana-1457	71	31	the	the	DET
cana-1457	71	32	quality	quality	NOUN
cana-1457	71	33	of	of	ADP
cana-1457	71	34	their	their	PRON
cana-1457	71	35	tea	tea	NOUN
cana-1457	71	36	leaves	leave	NOUN
cana-1457	71	37	.	.	PUNCT
cana-1457	72	1	1.4	1.4	NUM
cana-1457	72	2	machine	machine	NOUN
cana-1457	72	3	learning	learn	VERB
cana-1457	72	4	for	for	ADP
cana-1457	72	5	predicting	predict	VERB
cana-1457	72	6	optimal	optimal	ADJ
cana-1457	72	7	withering	withering	ADJ
cana-1457	72	8	conditions	condition	NOUN
cana-1457	72	9	while	while	SCONJ
cana-1457	72	10	real	real	ADJ
cana-1457	72	11	-	-	PUNCT
cana-1457	72	12	time	time	NOUN
cana-1457	72	13	monitoring	monitoring	NOUN
cana-1457	72	14	is	be	AUX
cana-1457	72	15	essential	essential	ADJ
cana-1457	72	16	for	for	ADP
cana-1457	72	17	understanding	understand	VERB
cana-1457	72	18	the	the	DET
cana-1457	72	19	environmental	environmental	ADJ
cana-1457	72	20	conditions	condition	NOUN
cana-1457	72	21	during	during	ADP
cana-1457	72	22	tea	tea	NOUN
cana-1457	72	23	withering	withering	NOUN
cana-1457	72	24	,	,	PUNCT
cana-1457	72	25	the	the	DET
cana-1457	72	26	ability	ability	NOUN
cana-1457	72	27	to	to	PART
cana-1457	72	28	predict	predict	VERB
cana-1457	72	29	the	the	DET
cana-1457	72	30	optimal	optimal	ADJ
cana-1457	72	31	conditions	condition	NOUN
cana-1457	72	32	for	for	ADP
cana-1457	72	33	withering	wither	VERB
cana-1457	72	34	is	be	AUX
cana-1457	72	35	equally	equally	ADV
cana-1457	72	36	important	important	ADJ
cana-1457	72	37	.	.	PUNCT
cana-1457	73	1	this	this	PRON
cana-1457	73	2	is	be	AUX
cana-1457	73	3	where	where	SCONJ
cana-1457	73	4	machine	machine	NOUN
cana-1457	73	5	learning	learning	NOUN
cana-1457	73	6	comes	come	VERB
cana-1457	73	7	into	into	ADP
cana-1457	73	8	play	play	NOUN
cana-1457	73	9	.	.	PUNCT
cana-1457	74	1	machine	machine	NOUN
cana-1457	74	2	learning	learning	NOUN
cana-1457	74	3	models	model	NOUN
cana-1457	74	4	are	be	AUX
cana-1457	74	5	capable	capable	ADJ
cana-1457	74	6	of	of	ADP
cana-1457	74	7	analyzing	analyze	VERB
cana-1457	74	8	large	large	ADJ
cana-1457	74	9	datasets	dataset	NOUN
cana-1457	74	10	communications	communication	NOUN
cana-1457	74	11	on	on	ADP
cana-1457	74	12	applied	apply	VERB
cana-1457	74	13	nonlinear	nonlinear	ADJ
cana-1457	74	14	analysis	analysis	NOUN
cana-1457	74	15	issn	issn	NOUN
cana-1457	74	16	:	:	PUNCT
cana-1457	74	17	1074	1074	NUM
cana-1457	74	18	-	-	PUNCT
cana-1457	74	19	133x	133x	NUM
cana-1457	74	20	vol	vol	NOUN
cana-1457	74	21	31	31	NUM
cana-1457	74	22	no	no	NOUN
cana-1457	74	23	.	.	PUNCT
cana-1457	75	1	8s	8s	PROPN
cana-1457	75	2	(	(	PUNCT
cana-1457	75	3	2024	2024	NUM
cana-1457	75	4	)	)	PUNCT
cana-1457	75	5	59	59	NUM
cana-1457	75	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	75	7	and	and	CCONJ
cana-1457	75	8	identifying	identify	VERB
cana-1457	75	9	patterns	pattern	NOUN
cana-1457	75	10	that	that	PRON
cana-1457	75	11	are	be	AUX
cana-1457	75	12	not	not	PART
cana-1457	75	13	immediately	immediately	ADV
cana-1457	75	14	apparent	apparent	ADJ
cana-1457	75	15	to	to	ADP
cana-1457	75	16	the	the	DET
cana-1457	75	17	human	human	ADJ
cana-1457	75	18	eye	eye	NOUN
cana-1457	75	19	.	.	PUNCT
cana-1457	76	1	by	by	ADP
cana-1457	76	2	training	train	VERB
cana-1457	76	3	these	these	DET
cana-1457	76	4	models	model	NOUN
cana-1457	76	5	on	on	ADP
cana-1457	76	6	historical	historical	ADJ
cana-1457	76	7	data	datum	NOUN
cana-1457	76	8	,	,	PUNCT
cana-1457	76	9	we	we	PRON
cana-1457	76	10	can	can	AUX
cana-1457	76	11	predict	predict	VERB
cana-1457	76	12	how	how	SCONJ
cana-1457	76	13	changes	change	NOUN
cana-1457	76	14	in	in	ADP
cana-1457	76	15	temperature	temperature	NOUN
cana-1457	76	16	,	,	PUNCT
cana-1457	76	17	humidity	humidity	NOUN
cana-1457	76	18	,	,	PUNCT
cana-1457	76	19	and	and	CCONJ
cana-1457	76	20	moisture	moisture	VERB
cana-1457	76	21	[	[	X
cana-1457	76	22	3	3	NUM
cana-1457	76	23	]	]	X
cana-1457	76	24	content	content	NOUN
cana-1457	76	25	will	will	AUX
cana-1457	76	26	affect	affect	VERB
cana-1457	76	27	the	the	DET
cana-1457	76	28	final	final	ADJ
cana-1457	76	29	moisture	moisture	NOUN
cana-1457	76	30	levels	level	NOUN
cana-1457	76	31	of	of	ADP
cana-1457	76	32	the	the	DET
cana-1457	76	33	tea	tea	NOUN
cana-1457	76	34	leaves	leave	NOUN
cana-1457	76	35	,	,	PUNCT
cana-1457	76	36	thus	thus	ADV
cana-1457	76	37	allowing	allow	VERB
cana-1457	76	38	farmers	farmer	NOUN
cana-1457	76	39	to	to	PART
cana-1457	76	40	adjust	adjust	VERB
cana-1457	76	41	their	their	PRON
cana-1457	76	42	processes	process	NOUN
cana-1457	76	43	in	in	ADP
cana-1457	76	44	advance	advance	NOUN
cana-1457	76	45	.	.	PUNCT
cana-1457	77	1	in	in	ADP
cana-1457	77	2	this	this	DET
cana-1457	77	3	research	research	NOUN
cana-1457	77	4	,	,	PUNCT
cana-1457	77	5	machine	machine	NOUN
cana-1457	77	6	learning	learning	NOUN
cana-1457	77	7	models	model	NOUN
cana-1457	77	8	such	such	ADJ
cana-1457	77	9	as	as	ADP
cana-1457	77	10	xgboost	xgboost	ADV
cana-1457	77	11	and	and	CCONJ
cana-1457	77	12	lightgbm	lightgbm	NOUN
cana-1457	77	13	are	be	AUX
cana-1457	77	14	used	use	VERB
cana-1457	77	15	to	to	PART
cana-1457	77	16	predict	predict	VERB
cana-1457	77	17	moisture	moisture	NOUN
cana-1457	77	18	content	content	NOUN
cana-1457	77	19	based	base	VERB
cana-1457	77	20	on	on	ADP
cana-1457	77	21	environmental	environmental	ADJ
cana-1457	77	22	conditions[3	conditions[3	PROPN
cana-1457	77	23	]	]	PUNCT
cana-1457	77	24	.	.	PUNCT
cana-1457	78	1	these	these	DET
cana-1457	78	2	models	model	NOUN
cana-1457	78	3	are	be	AUX
cana-1457	78	4	trained	train	VERB
cana-1457	78	5	using	use	VERB
cana-1457	78	6	data	datum	NOUN
cana-1457	78	7	collected	collect	VERB
cana-1457	78	8	by	by	ADP
cana-1457	78	9	the	the	DET
cana-1457	78	10	iot	iot	NOUN
cana-1457	78	11	sensors	sensor	NOUN
cana-1457	78	12	and	and	CCONJ
cana-1457	78	13	are	be	AUX
cana-1457	78	14	capable	capable	ADJ
cana-1457	78	15	of	of	ADP
cana-1457	78	16	making	make	VERB
cana-1457	78	17	highly	highly	ADV
cana-1457	78	18	accurate	accurate	ADJ
cana-1457	78	19	predictions	prediction	NOUN
cana-1457	78	20	about	about	ADP
cana-1457	78	21	how	how	SCONJ
cana-1457	78	22	the	the	DET
cana-1457	78	23	leaves	leave	NOUN
cana-1457	78	24	will	will	AUX
cana-1457	78	25	wither	wither	VERB
cana-1457	78	26	under	under	ADP
cana-1457	78	27	certain	certain	ADJ
cana-1457	78	28	conditions	condition	NOUN
cana-1457	78	29	.	.	PUNCT
cana-1457	79	1	by	by	ADP
cana-1457	79	2	integrating	integrate	VERB
cana-1457	79	3	these	these	DET
cana-1457	79	4	predictions	prediction	NOUN
cana-1457	79	5	into	into	ADP
cana-1457	79	6	the	the	DET
cana-1457	79	7	real	real	ADJ
cana-1457	79	8	-	-	PUNCT
cana-1457	79	9	time	time	NOUN
cana-1457	79	10	monitoring	monitoring	NOUN
cana-1457	79	11	system	system	NOUN
cana-1457	79	12	,	,	PUNCT
cana-1457	79	13	farmers	farmer	NOUN
cana-1457	79	14	can	can	AUX
cana-1457	79	15	not	not	PART
cana-1457	79	16	only	only	ADV
cana-1457	79	17	see	see	VERB
cana-1457	79	18	the	the	DET
cana-1457	79	19	current	current	ADJ
cana-1457	79	20	conditions	condition	NOUN
cana-1457	79	21	but	but	CCONJ
cana-1457	79	22	also	also	ADV
cana-1457	79	23	get	get	VERB
cana-1457	79	24	insights	insight	NOUN
cana-1457	79	25	into	into	ADP
cana-1457	79	26	the	the	DET
cana-1457	79	27	likely	likely	ADJ
cana-1457	79	28	future	future	ADJ
cana-1457	79	29	outcomes	outcome	NOUN
cana-1457	79	30	of	of	ADP
cana-1457	79	31	their	their	PRON
cana-1457	79	32	withering	wither	VERB
cana-1457	79	33	process	process	NOUN
cana-1457	79	34	.	.	PUNCT
cana-1457	80	1	this	this	DET
cana-1457	80	2	predictive	predictive	ADJ
cana-1457	80	3	capability	capability	NOUN
cana-1457	80	4	is	be	AUX
cana-1457	80	5	especially	especially	ADV
cana-1457	80	6	valuable	valuable	ADJ
cana-1457	80	7	in	in	ADP
cana-1457	80	8	the	the	DET
cana-1457	80	9	nilgiris	nilgiris	NOUN
cana-1457	80	10	,	,	PUNCT
cana-1457	80	11	where	where	SCONJ
cana-1457	80	12	sudden	sudden	ADJ
cana-1457	80	13	changes	change	NOUN
cana-1457	80	14	in	in	ADP
cana-1457	80	15	weather	weather	NOUN
cana-1457	80	16	can	can	AUX
cana-1457	80	17	have	have	VERB
cana-1457	80	18	a	a	DET
cana-1457	80	19	significant	significant	ADJ
cana-1457	80	20	impact	impact	NOUN
cana-1457	80	21	on	on	ADP
cana-1457	80	22	tea	tea	NOUN
cana-1457	80	23	production	production	NOUN
cana-1457	80	24	.	.	PUNCT
cana-1457	81	1	by	by	ADP
cana-1457	81	2	using	use	VERB
cana-1457	81	3	machine	machine	NOUN
cana-1457	81	4	learning	learning	NOUN
cana-1457	81	5	models	model	NOUN
cana-1457	81	6	to	to	PART
cana-1457	81	7	forecast	forecast	VERB
cana-1457	81	8	how	how	SCONJ
cana-1457	81	9	these	these	DET
cana-1457	81	10	changes	change	NOUN
cana-1457	81	11	will	will	AUX
cana-1457	81	12	affect	affect	VERB
cana-1457	81	13	the	the	DET
cana-1457	81	14	withering	wither	VERB
cana-1457	81	15	process	process	NOUN
cana-1457	81	16	,	,	PUNCT
cana-1457	81	17	farmers	farmer	NOUN
cana-1457	81	18	can	can	AUX
cana-1457	81	19	take	take	VERB
cana-1457	81	20	proactive	proactive	ADJ
cana-1457	81	21	steps	step	NOUN
cana-1457	81	22	to	to	PART
cana-1457	81	23	adjust	adjust	VERB
cana-1457	81	24	their	their	PRON
cana-1457	81	25	environmental	environmental	ADJ
cana-1457	81	26	controls	control	NOUN
cana-1457	81	27	and	and	CCONJ
cana-1457	81	28	ensure	ensure	VERB
cana-1457	81	29	consistent	consistent	ADJ
cana-1457	81	30	quality	quality	NOUN
cana-1457	81	31	in	in	ADP
cana-1457	81	32	their	their	PRON
cana-1457	81	33	tea	tea	NOUN
cana-1457	81	34	leaves[3	leaves[3	NOUN
cana-1457	81	35	]	]	X
cana-1457	81	36	.	.	PUNCT
cana-1457	82	1	1.5	1.5	NUM
cana-1457	82	2	research	research	NOUN
cana-1457	82	3	focus	focus	NOUN
cana-1457	82	4	on	on	ADP
cana-1457	82	5	nilgiris	nilgiris	NOUN
cana-1457	82	6	tea	tea	NOUN
cana-1457	82	7	and	and	CCONJ
cana-1457	82	8	the	the	DET
cana-1457	82	9	livelihood	livelihood	NOUN
cana-1457	82	10	of	of	ADP
cana-1457	82	11	small	small	ADJ
cana-1457	82	12	farmers	farmer	NOUN
cana-1457	82	13	the	the	DET
cana-1457	82	14	primary	primary	ADJ
cana-1457	82	15	focus	focus	NOUN
cana-1457	82	16	of	of	ADP
cana-1457	82	17	this	this	DET
cana-1457	82	18	research	research	NOUN
cana-1457	82	19	is	be	AUX
cana-1457	82	20	the	the	DET
cana-1457	82	21	tea	tea	NOUN
cana-1457	82	22	production	production	NOUN
cana-1457	82	23	process	process	NOUN
cana-1457	82	24	in	in	ADP
cana-1457	82	25	the	the	DET
cana-1457	82	26	nilgiris	nilgiris	NOUN
cana-1457	82	27	district	district	NOUN
cana-1457	82	28	,	,	PUNCT
cana-1457	82	29	specifically	specifically	ADV
cana-1457	82	30	with	with	ADP
cana-1457	82	31	regard	regard	NOUN
cana-1457	82	32	to	to	ADP
cana-1457	82	33	improving	improve	VERB
cana-1457	82	34	the	the	DET
cana-1457	82	35	livelihoods	livelihood	NOUN
cana-1457	82	36	of	of	ADP
cana-1457	82	37	small	small	ADJ
cana-1457	82	38	farmers	farmer	NOUN
cana-1457	82	39	.	.	PUNCT
cana-1457	83	1	the	the	DET
cana-1457	83	2	nilgiris	nilgiris	NOUN
cana-1457	83	3	is	be	AUX
cana-1457	83	4	home	home	NOUN
cana-1457	83	5	to	to	ADP
cana-1457	83	6	a	a	DET
cana-1457	83	7	large	large	ADJ
cana-1457	83	8	number	number	NOUN
cana-1457	83	9	of	of	ADP
cana-1457	83	10	smallholder	smallholder	NOUN
cana-1457	83	11	tea	tea	NOUN
cana-1457	83	12	growers	grower	NOUN
cana-1457	83	13	who	who	PRON
cana-1457	83	14	often	often	ADV
cana-1457	83	15	lack	lack	VERB
cana-1457	83	16	access	access	NOUN
cana-1457	83	17	to	to	ADP
cana-1457	83	18	the	the	DET
cana-1457	83	19	advanced	advanced	ADJ
cana-1457	83	20	technologies	technology	NOUN
cana-1457	83	21	that	that	PRON
cana-1457	83	22	could	could	AUX
cana-1457	83	23	help	help	VERB
cana-1457	83	24	them	they	PRON
cana-1457	83	25	optimize	optimize	VERB
cana-1457	83	26	their	their	PRON
cana-1457	83	27	production	production	NOUN
cana-1457	83	28	processes	process	NOUN
cana-1457	83	29	.	.	PUNCT
cana-1457	84	1	this	this	DET
cana-1457	84	2	research	research	NOUN
cana-1457	84	3	aims	aim	VERB
cana-1457	84	4	to	to	PART
cana-1457	84	5	bridge	bridge	VERB
cana-1457	84	6	that	that	DET
cana-1457	84	7	gap	gap	NOUN
cana-1457	84	8	by	by	ADP
cana-1457	84	9	providing	provide	VERB
cana-1457	84	10	these	these	DET
cana-1457	84	11	farmers	farmer	NOUN
cana-1457	84	12	with	with	ADP
cana-1457	84	13	a	a	DET
cana-1457	84	14	cost	cost	NOUN
cana-1457	84	15	-	-	PUNCT
cana-1457	84	16	effective	effective	ADJ
cana-1457	84	17	,	,	PUNCT
cana-1457	84	18	scalable	scalable	ADJ
cana-1457	84	19	solution	solution	NOUN
cana-1457	84	20	for	for	ADP
cana-1457	84	21	monitoring	monitoring	NOUN
cana-1457	84	22	and	and	CCONJ
cana-1457	84	23	optimizing	optimize	VERB
cana-1457	84	24	the	the	DET
cana-1457	84	25	tea	tea	NOUN
cana-1457	84	26	withering	wither	VERB
cana-1457	84	27	process	process	NOUN
cana-1457	84	28	.	.	PUNCT
cana-1457	85	1	the	the	DET
cana-1457	85	2	iot	iot	NOUN
cana-1457	85	3	-	-	PUNCT
cana-1457	85	4	based	base	VERB
cana-1457	85	5	system	system	NOUN
cana-1457	85	6	developed	develop	VERB
cana-1457	85	7	in	in	ADP
cana-1457	85	8	this	this	DET
cana-1457	85	9	research	research	NOUN
cana-1457	85	10	is	be	AUX
cana-1457	85	11	designed	design	VERB
cana-1457	85	12	to	to	PART
cana-1457	85	13	be	be	AUX
cana-1457	85	14	accessible	accessible	ADJ
cana-1457	85	15	to	to	ADP
cana-1457	85	16	small	small	ADJ
cana-1457	85	17	farmers	farmer	NOUN
cana-1457	85	18	,	,	PUNCT
cana-1457	85	19	many	many	ADJ
cana-1457	85	20	of	of	ADP
cana-1457	85	21	whom	whom	PRON
cana-1457	85	22	process	process	NOUN
cana-1457	85	23	tea	tea	NOUN
cana-1457	85	24	in	in	ADP
cana-1457	85	25	home	home	NOUN
cana-1457	85	26	-	-	PUNCT
cana-1457	85	27	based	base	VERB
cana-1457	85	28	or	or	CCONJ
cana-1457	85	29	small	small	ADJ
cana-1457	85	30	-	-	PUNCT
cana-1457	85	31	scale	scale	NOUN
cana-1457	85	32	facilities	facility	NOUN
cana-1457	85	33	.	.	PUNCT
cana-1457	86	1	by	by	ADP
cana-1457	86	2	improving	improve	VERB
cana-1457	86	3	the	the	DET
cana-1457	86	4	consistency	consistency	NOUN
cana-1457	86	5	and	and	CCONJ
cana-1457	86	6	quality	quality	NOUN
cana-1457	86	7	of	of	ADP
cana-1457	86	8	their	their	PRON
cana-1457	86	9	tea	tea	NOUN
cana-1457	86	10	production	production	NOUN
cana-1457	86	11	,	,	PUNCT
cana-1457	86	12	the	the	DET
cana-1457	86	13	system	system	NOUN
cana-1457	86	14	helps	help	VERB
cana-1457	86	15	small	small	ADJ
cana-1457	86	16	farmers	farmer	NOUN
cana-1457	86	17	command	command	VERB
cana-1457	86	18	better	well	ADJ
cana-1457	86	19	prices	price	NOUN
cana-1457	86	20	in	in	ADP
cana-1457	86	21	the	the	DET
cana-1457	86	22	marketplace	marketplace	NOUN
cana-1457	86	23	,	,	PUNCT
cana-1457	86	24	thereby	thereby	ADV
cana-1457	86	25	increasing	increase	VERB
cana-1457	86	26	their	their	PRON
cana-1457	86	27	income	income	NOUN
cana-1457	86	28	and	and	CCONJ
cana-1457	86	29	economic	economic	ADJ
cana-1457	86	30	stability	stability	NOUN
cana-1457	86	31	.	.	PUNCT
cana-1457	87	1	in	in	ADP
cana-1457	87	2	addition	addition	NOUN
cana-1457	87	3	to	to	ADP
cana-1457	87	4	improving	improve	VERB
cana-1457	87	5	the	the	DET
cana-1457	87	6	quality	quality	NOUN
cana-1457	87	7	of	of	ADP
cana-1457	87	8	the	the	DET
cana-1457	87	9	tea	tea	NOUN
cana-1457	87	10	,	,	PUNCT
cana-1457	87	11	this	this	DET
cana-1457	87	12	research	research	NOUN
cana-1457	87	13	also	also	ADV
cana-1457	87	14	emphasizes	emphasize	VERB
cana-1457	87	15	sustainability	sustainability	NOUN
cana-1457	87	16	and	and	CCONJ
cana-1457	87	17	the	the	DET
cana-1457	87	18	responsible	responsible	ADJ
cana-1457	87	19	use	use	NOUN
cana-1457	87	20	of	of	ADP
cana-1457	87	21	resources	resource	NOUN
cana-1457	87	22	,	,	PUNCT
cana-1457	87	23	as	as	SCONJ
cana-1457	87	24	the	the	DET
cana-1457	87	25	iot	iot	NOUN
cana-1457	87	26	system	system	NOUN
cana-1457	87	27	enables	enable	VERB
cana-1457	87	28	farmers	farmer	NOUN
cana-1457	87	29	to	to	PART
cana-1457	87	30	make	make	VERB
cana-1457	87	31	more	more	ADV
cana-1457	87	32	informed	informed	ADJ
cana-1457	87	33	decisions	decision	NOUN
cana-1457	87	34	about	about	ADP
cana-1457	87	35	when	when	SCONJ
cana-1457	87	36	to	to	PART
cana-1457	87	37	apply	apply	VERB
cana-1457	87	38	heat	heat	NOUN
cana-1457	87	39	,	,	PUNCT
cana-1457	87	40	humidity	humidity	NOUN
cana-1457	87	41	control	control	NOUN
cana-1457	87	42	,	,	PUNCT
cana-1457	87	43	or	or	CCONJ
cana-1457	87	44	ventilation[2	ventilation[2	PROPN
cana-1457	87	45	]	]	PUNCT
cana-1457	87	46	.	.	PUNCT
cana-1457	88	1	by	by	ADP
cana-1457	88	2	focusing	focus	VERB
cana-1457	88	3	on	on	ADP
cana-1457	88	4	the	the	DET
cana-1457	88	5	nilgiris	nilgiris	NOUN
cana-1457	88	6	region	region	NOUN
cana-1457	88	7	,	,	PUNCT
cana-1457	88	8	this	this	DET
cana-1457	88	9	research	research	NOUN
cana-1457	88	10	addresses	address	VERB
cana-1457	88	11	the	the	DET
cana-1457	88	12	specific	specific	ADJ
cana-1457	88	13	needs	need	NOUN
cana-1457	88	14	of	of	ADP
cana-1457	88	15	small	small	ADJ
cana-1457	88	16	tea	tea	NOUN
cana-1457	88	17	farmers	farmer	NOUN
cana-1457	88	18	,	,	PUNCT
cana-1457	88	19	who	who	PRON
cana-1457	88	20	are	be	AUX
cana-1457	88	21	often	often	ADV
cana-1457	88	22	marginalized	marginalize	VERB
cana-1457	88	23	in	in	ADP
cana-1457	88	24	larger	large	ADJ
cana-1457	88	25	-	-	PUNCT
cana-1457	88	26	scale	scale	NOUN
cana-1457	88	27	tea	tea	NOUN
cana-1457	88	28	production	production	NOUN
cana-1457	88	29	systems	system	NOUN
cana-1457	88	30	.	.	PUNCT
cana-1457	89	1	the	the	DET
cana-1457	89	2	goal	goal	NOUN
cana-1457	89	3	is	be	AUX
cana-1457	89	4	to	to	PART
cana-1457	89	5	create	create	VERB
cana-1457	89	6	a	a	DET
cana-1457	89	7	practical	practical	ADJ
cana-1457	89	8	solution	solution	NOUN
cana-1457	89	9	that	that	PRON
cana-1457	89	10	can	can	AUX
cana-1457	89	11	improve	improve	VERB
cana-1457	89	12	both	both	DET
cana-1457	89	13	the	the	DET
cana-1457	89	14	quality	quality	NOUN
cana-1457	89	15	of	of	ADP
cana-1457	89	16	the	the	DET
cana-1457	89	17	tea	tea	NOUN
cana-1457	89	18	and	and	CCONJ
cana-1457	89	19	the	the	DET
cana-1457	89	20	livelihoods	livelihood	NOUN
cana-1457	89	21	of	of	ADP
cana-1457	89	22	the	the	DET
cana-1457	89	23	farmers	farmer	NOUN
cana-1457	89	24	who	who	PRON
cana-1457	89	25	produce	produce	VERB
cana-1457	89	26	it[2	it[2	PROPN
cana-1457	89	27	]	]	PUNCT
cana-1457	89	28	.	.	PUNCT
cana-1457	90	1	the	the	DET
cana-1457	90	2	research	research	NOUN
cana-1457	90	3	aims	aim	VERB
cana-1457	90	4	to	to	PART
cana-1457	90	5	provide	provide	VERB
cana-1457	90	6	a	a	DET
cana-1457	90	7	pathway	pathway	NOUN
cana-1457	90	8	for	for	ADP
cana-1457	90	9	small	small	ADJ
cana-1457	90	10	farmers	farmer	NOUN
cana-1457	90	11	in	in	ADP
cana-1457	90	12	the	the	DET
cana-1457	90	13	nilgiris	nilgiris	NOUN
cana-1457	90	14	to	to	PART
cana-1457	90	15	adopt	adopt	VERB
cana-1457	90	16	modern	modern	ADJ
cana-1457	90	17	technologies	technology	NOUN
cana-1457	90	18	and	and	CCONJ
cana-1457	90	19	compete	compete	VERB
cana-1457	90	20	more	more	ADV
cana-1457	90	21	effectively	effectively	ADV
cana-1457	90	22	in	in	ADP
cana-1457	90	23	the	the	DET
cana-1457	90	24	global	global	ADJ
cana-1457	90	25	tea	tea	NOUN
cana-1457	90	26	market	market	NOUN
cana-1457	90	27	,	,	PUNCT
cana-1457	90	28	thus	thus	ADV
cana-1457	90	29	securing	secure	VERB
cana-1457	90	30	a	a	DET
cana-1457	90	31	more	more	ADV
cana-1457	90	32	stable	stable	ADJ
cana-1457	90	33	and	and	CCONJ
cana-1457	90	34	prosperous	prosperous	ADJ
cana-1457	90	35	future	future	NOUN
cana-1457	90	36	for	for	ADP
cana-1457	90	37	their	their	PRON
cana-1457	90	38	communities	community	NOUN
cana-1457	90	39	.	.	PUNCT
cana-1457	91	1	1.6	1.6	NUM
cana-1457	91	2	contribution	contribution	NOUN
cana-1457	91	3	to	to	ADP
cana-1457	91	4	sustainable	sustainable	ADJ
cana-1457	91	5	agriculture	agriculture	NOUN
cana-1457	91	6	another	another	DET
cana-1457	91	7	key	key	ADJ
cana-1457	91	8	aspect	aspect	NOUN
cana-1457	91	9	of	of	ADP
cana-1457	91	10	this	this	DET
cana-1457	91	11	research	research	NOUN
cana-1457	91	12	is	be	AUX
cana-1457	91	13	its	its	PRON
cana-1457	91	14	contribution	contribution	NOUN
cana-1457	91	15	to	to	ADP
cana-1457	91	16	sustainable	sustainable	ADJ
cana-1457	91	17	agricultural	agricultural	ADJ
cana-1457	91	18	practices	practice	NOUN
cana-1457	91	19	.	.	PUNCT
cana-1457	92	1	the	the	DET
cana-1457	92	2	use	use	NOUN
cana-1457	92	3	of	of	ADP
cana-1457	92	4	iot	iot	NOUN
cana-1457	92	5	and	and	CCONJ
cana-1457	92	6	machine	machine	NOUN
cana-1457	92	7	learning	learn	VERB
cana-1457	92	8	not	not	PART
cana-1457	92	9	only	only	ADV
cana-1457	92	10	improves	improve	VERB
cana-1457	92	11	the	the	DET
cana-1457	92	12	efficiency	efficiency	NOUN
cana-1457	92	13	and	and	CCONJ
cana-1457	92	14	quality	quality	NOUN
cana-1457	92	15	of	of	ADP
cana-1457	92	16	tea	tea	NOUN
cana-1457	92	17	production	production	NOUN
cana-1457	92	18	but	but	CCONJ
cana-1457	92	19	also	also	ADV
cana-1457	92	20	promotes	promote	VERB
cana-1457	92	21	resource	resource	NOUN
cana-1457	92	22	conservation	conservation	NOUN
cana-1457	92	23	.	.	PUNCT
cana-1457	93	1	by	by	ADP
cana-1457	93	2	optimizing	optimize	VERB
cana-1457	93	3	the	the	DET
cana-1457	93	4	withering	wither	VERB
cana-1457	93	5	process	process	NOUN
cana-1457	93	6	,	,	PUNCT
cana-1457	93	7	farmers	farmer	NOUN
cana-1457	93	8	can	can	AUX
cana-1457	93	9	reduce	reduce	VERB
cana-1457	93	10	the	the	DET
cana-1457	93	11	amount	amount	NOUN
cana-1457	93	12	of	of	ADP
cana-1457	93	13	energy	energy	NOUN
cana-1457	93	14	used	use	VERB
cana-1457	93	15	in	in	ADP
cana-1457	93	16	drying	dry	VERB
cana-1457	93	17	the	the	DET
cana-1457	93	18	leaves	leave	NOUN
cana-1457	93	19	,	,	PUNCT
cana-1457	93	20	as	as	ADV
cana-1457	93	21	well	well	ADV
cana-1457	93	22	as	as	ADP
cana-1457	93	23	minimize	minimize	VERB
cana-1457	93	24	the	the	DET
cana-1457	93	25	risk	risk	NOUN
cana-1457	93	26	of	of	ADP
cana-1457	93	27	overor	overor	NOUN
cana-1457	93	28	under	under	ADV
cana-1457	93	29	-	-	PUNCT
cana-1457	93	30	withered	withered	ADJ
cana-1457	93	31	leaves	leave	NOUN
cana-1457	93	32	that	that	SCONJ
cana-1457	93	33	communications	communication	NOUN
cana-1457	93	34	on	on	ADP
cana-1457	93	35	applied	apply	VERB
cana-1457	93	36	nonlinear	nonlinear	ADJ
cana-1457	93	37	analysis	analysis	NOUN
cana-1457	93	38	issn	issn	NOUN
cana-1457	93	39	:	:	PUNCT
cana-1457	93	40	1074	1074	NUM
cana-1457	93	41	-	-	PUNCT
cana-1457	93	42	133x	133x	NUM
cana-1457	93	43	vol	vol	NOUN
cana-1457	93	44	31	31	NUM
cana-1457	93	45	no	no	NOUN
cana-1457	93	46	.	.	PUNCT
cana-1457	94	1	8s	8s	PROPN
cana-1457	94	2	(	(	PUNCT
cana-1457	94	3	2024	2024	NUM
cana-1457	94	4	)	)	PUNCT
cana-1457	94	5	60	60	NUM
cana-1457	94	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	94	7	would	would	AUX
cana-1457	94	8	need	need	VERB
cana-1457	94	9	to	to	PART
cana-1457	94	10	be	be	AUX
cana-1457	94	11	discarded	discard	VERB
cana-1457	94	12	.	.	PUNCT
cana-1457	95	1	this	this	PRON
cana-1457	95	2	not	not	PART
cana-1457	95	3	only	only	ADV
cana-1457	95	4	saves	save	VERB
cana-1457	95	5	energy	energy	NOUN
cana-1457	95	6	and	and	CCONJ
cana-1457	95	7	reduces	reduce	VERB
cana-1457	95	8	waste	waste	NOUN
cana-1457	95	9	but	but	CCONJ
cana-1457	95	10	also	also	ADV
cana-1457	95	11	ensures	ensure	VERB
cana-1457	95	12	that	that	SCONJ
cana-1457	95	13	farmers	farmer	NOUN
cana-1457	95	14	are	be	AUX
cana-1457	95	15	making	make	VERB
cana-1457	95	16	the	the	DET
cana-1457	95	17	most	most	ADJ
cana-1457	95	18	of	of	ADP
cana-1457	95	19	their	their	PRON
cana-1457	95	20	resources	resource	NOUN
cana-1457	95	21	.	.	PUNCT
cana-1457	96	1	the	the	DET
cana-1457	96	2	system	system	NOUN
cana-1457	96	3	’s	’s	PART
cana-1457	96	4	ability	ability	NOUN
cana-1457	96	5	to	to	PART
cana-1457	96	6	provide	provide	VERB
cana-1457	96	7	real	real	ADJ
cana-1457	96	8	-	-	PUNCT
cana-1457	96	9	time	time	NOUN
cana-1457	96	10	feedback	feedback	NOUN
cana-1457	96	11	and	and	CCONJ
cana-1457	96	12	predictions	prediction	NOUN
cana-1457	96	13	also	also	ADV
cana-1457	96	14	helps	help	VERB
cana-1457	96	15	farmers	farmer	NOUN
cana-1457	96	16	respond	respond	VERB
cana-1457	96	17	quickly	quickly	ADV
cana-1457	96	18	to	to	ADP
cana-1457	96	19	environmental	environmental	ADJ
cana-1457	96	20	changes	change	NOUN
cana-1457	96	21	,	,	PUNCT
cana-1457	96	22	reducing	reduce	VERB
cana-1457	96	23	the	the	DET
cana-1457	96	24	likelihood	likelihood	NOUN
cana-1457	96	25	of	of	ADP
cana-1457	96	26	crop	crop	NOUN
cana-1457	96	27	loss	loss	NOUN
cana-1457	96	28	due	due	ADP
cana-1457	96	29	to	to	ADP
cana-1457	96	30	unexpected	unexpected	ADJ
cana-1457	96	31	weather	weather	NOUN
cana-1457	96	32	conditions	condition	NOUN
cana-1457	96	33	.	.	PUNCT
cana-1457	97	1	2	2	X
cana-1457	97	2	.	.	X
cana-1457	97	3	objectives	objective	VERB
cana-1457	97	4	the	the	DET
cana-1457	97	5	primary	primary	ADJ
cana-1457	97	6	objective	objective	NOUN
cana-1457	97	7	of	of	ADP
cana-1457	97	8	this	this	DET
cana-1457	97	9	research	research	NOUN
cana-1457	97	10	is	be	AUX
cana-1457	97	11	to	to	PART
cana-1457	97	12	develop	develop	VERB
cana-1457	97	13	and	and	CCONJ
cana-1457	97	14	implement	implement	VERB
cana-1457	97	15	an	an	DET
cana-1457	97	16	iot	iot	NOUN
cana-1457	97	17	-	-	PUNCT
cana-1457	97	18	based	base	VERB
cana-1457	97	19	real	real	ADJ
cana-1457	97	20	-	-	PUNCT
cana-1457	97	21	time	time	NOUN
cana-1457	97	22	monitoring	monitoring	NOUN
cana-1457	97	23	system	system	NOUN
cana-1457	97	24	integrated	integrate	VERB
cana-1457	97	25	with	with	ADP
cana-1457	97	26	machine	machine	NOUN
cana-1457	97	27	learning	learning	NOUN
cana-1457	97	28	models	model	NOUN
cana-1457	97	29	to	to	PART
cana-1457	97	30	optimize	optimize	VERB
cana-1457	97	31	the	the	DET
cana-1457	97	32	tea	tea	NOUN
cana-1457	97	33	withering	wither	VERB
cana-1457	97	34	process	process	NOUN
cana-1457	97	35	for	for	ADP
cana-1457	97	36	small	small	ADJ
cana-1457	97	37	-	-	PUNCT
cana-1457	97	38	scale	scale	NOUN
cana-1457	97	39	farmers	farmer	NOUN
cana-1457	97	40	in	in	ADP
cana-1457	97	41	the	the	DET
cana-1457	97	42	nilgiris	nilgiris	PROPN
cana-1457	97	43	district	district	PROPN
cana-1457	97	44	.	.	PUNCT
cana-1457	98	1	the	the	DET
cana-1457	98	2	focus	focus	NOUN
cana-1457	98	3	is	be	AUX
cana-1457	98	4	on	on	ADP
cana-1457	98	5	leveraging	leverage	VERB
cana-1457	98	6	modern	modern	ADJ
cana-1457	98	7	technologies	technology	NOUN
cana-1457	98	8	such	such	ADJ
cana-1457	98	9	as	as	ADP
cana-1457	98	10	dht22	dht22	NOUN
cana-1457	98	11	sensors[5	sensors[5	PROPN
cana-1457	98	12	]	]	PUNCT
cana-1457	98	13	,	,	PUNCT
cana-1457	98	14	moisture	moisture	NOUN
cana-1457	98	15	sensors	sensor	NOUN
cana-1457	98	16	,	,	PUNCT
cana-1457	98	17	and	and	CCONJ
cana-1457	98	18	predictive	predictive	ADJ
cana-1457	98	19	analytics	analytic	NOUN
cana-1457	98	20	to	to	PART
cana-1457	98	21	provide	provide	VERB
cana-1457	98	22	farmers	farmer	NOUN
cana-1457	98	23	with	with	ADP
cana-1457	98	24	real	real	ADJ
cana-1457	98	25	-	-	PUNCT
cana-1457	98	26	time	time	NOUN
cana-1457	98	27	insights	insight	NOUN
cana-1457	98	28	into	into	ADP
cana-1457	98	29	critical	critical	ADJ
cana-1457	98	30	environmental	environmental	ADJ
cana-1457	98	31	factors	factor	NOUN
cana-1457	98	32	like	like	ADP
cana-1457	98	33	temperature	temperature	NOUN
cana-1457	98	34	,	,	PUNCT
cana-1457	98	35	humidity	humidity	NOUN
cana-1457	98	36	,	,	PUNCT
cana-1457	98	37	and	and	CCONJ
cana-1457	98	38	moisture	moisture	NOUN
cana-1457	98	39	content	content	NOUN
cana-1457	98	40	.	.	PUNCT
cana-1457	99	1	by	by	ADP
cana-1457	99	2	collecting	collect	VERB
cana-1457	99	3	and	and	CCONJ
cana-1457	99	4	analyzing	analyze	VERB
cana-1457	99	5	this	this	DET
cana-1457	99	6	data	datum	NOUN
cana-1457	99	7	,	,	PUNCT
cana-1457	99	8	the	the	DET
cana-1457	99	9	system	system	NOUN
cana-1457	99	10	aims	aim	VERB
cana-1457	99	11	to	to	PART
cana-1457	99	12	help	help	VERB
cana-1457	99	13	farmers	farmer	NOUN
cana-1457	99	14	maintain	maintain	VERB
cana-1457	99	15	optimal	optimal	ADJ
cana-1457	99	16	withering	withering	ADJ
cana-1457	99	17	conditions	condition	NOUN
cana-1457	99	18	,	,	PUNCT
cana-1457	99	19	thereby	thereby	ADV
cana-1457	99	20	improving	improve	VERB
cana-1457	99	21	the	the	DET
cana-1457	99	22	quality	quality	NOUN
cana-1457	99	23	of	of	ADP
cana-1457	99	24	the	the	DET
cana-1457	99	25	tea	tea	NOUN
cana-1457	99	26	leaves	leave	NOUN
cana-1457	99	27	.	.	PUNCT
cana-1457	100	1	this	this	DET
cana-1457	100	2	improved	improved	ADJ
cana-1457	100	3	consistency	consistency	NOUN
cana-1457	100	4	in	in	ADP
cana-1457	100	5	tea	tea	NOUN
cana-1457	100	6	quality	quality	NOUN
cana-1457	100	7	can	can	AUX
cana-1457	100	8	lead	lead	VERB
cana-1457	100	9	to	to	ADP
cana-1457	100	10	better	well	ADJ
cana-1457	100	11	market	market	NOUN
cana-1457	100	12	prices	price	NOUN
cana-1457	100	13	and	and	CCONJ
cana-1457	100	14	overall	overall	ADJ
cana-1457	100	15	economic	economic	ADJ
cana-1457	100	16	benefits	benefit	NOUN
cana-1457	100	17	for	for	ADP
cana-1457	100	18	small	small	ADJ
cana-1457	100	19	farmers	farmer	NOUN
cana-1457	100	20	,	,	PUNCT
cana-1457	100	21	who	who	PRON
cana-1457	100	22	often	often	ADV
cana-1457	100	23	struggle	struggle	VERB
cana-1457	100	24	with	with	ADP
cana-1457	100	25	the	the	DET
cana-1457	100	26	challenges	challenge	NOUN
cana-1457	100	27	of	of	ADP
cana-1457	100	28	fluctuating	fluctuate	VERB
cana-1457	100	29	environmental	environmental	ADJ
cana-1457	100	30	conditions	condition	NOUN
cana-1457	100	31	and	and	CCONJ
cana-1457	100	32	inconsistent	inconsistent	ADJ
cana-1457	100	33	tea	tea	NOUN
cana-1457	100	34	production	production	NOUN
cana-1457	100	35	.	.	PUNCT
cana-1457	101	1	additionally	additionally	ADV
cana-1457	101	2	,	,	PUNCT
cana-1457	101	3	the	the	DET
cana-1457	101	4	research	research	NOUN
cana-1457	101	5	seeks	seek	VERB
cana-1457	101	6	to	to	PART
cana-1457	101	7	empower	empower	VERB
cana-1457	101	8	small	small	ADJ
cana-1457	101	9	-	-	PUNCT
cana-1457	101	10	scale	scale	NOUN
cana-1457	101	11	tea	tea	NOUN
cana-1457	101	12	producers	producer	NOUN
cana-1457	101	13	by	by	ADP
cana-1457	101	14	providing	provide	VERB
cana-1457	101	15	them	they	PRON
cana-1457	101	16	with	with	ADP
cana-1457	101	17	a	a	DET
cana-1457	101	18	costeffective	costeffective	ADJ
cana-1457	101	19	and	and	CCONJ
cana-1457	101	20	scalable	scalable	ADJ
cana-1457	101	21	technological	technological	ADJ
cana-1457	101	22	solution	solution	NOUN
cana-1457	101	23	that	that	PRON
cana-1457	101	24	enhances	enhance	VERB
cana-1457	101	25	their	their	PRON
cana-1457	101	26	ability	ability	NOUN
cana-1457	101	27	to	to	PART
cana-1457	101	28	compete	compete	VERB
cana-1457	101	29	in	in	ADP
cana-1457	101	30	the	the	DET
cana-1457	101	31	global	global	ADJ
cana-1457	101	32	tea	tea	NOUN
cana-1457	101	33	market	market	NOUN
cana-1457	101	34	.	.	PUNCT
cana-1457	102	1	by	by	ADP
cana-1457	102	2	introducing	introduce	VERB
cana-1457	102	3	predictive	predictive	ADJ
cana-1457	102	4	models	model	NOUN
cana-1457	102	5	such	such	ADJ
cana-1457	102	6	as	as	ADP
cana-1457	102	7	xgboost[6][7	xgboost[6][7	PROPN
cana-1457	102	8	]	]	PUNCT
cana-1457	102	9	and	and	CCONJ
cana-1457	102	10	lightgbm	lightgbm	VERB
cana-1457	102	11	[	[	X
cana-1457	102	12	5][6][7	5][6][7	NUM
cana-1457	102	13	]	]	PUNCT
cana-1457	102	14	,	,	PUNCT
cana-1457	102	15	the	the	DET
cana-1457	102	16	system	system	NOUN
cana-1457	102	17	can	can	AUX
cana-1457	102	18	forecast	forecast	VERB
cana-1457	102	19	moisture	moisture	NOUN
cana-1457	102	20	levels	level	NOUN
cana-1457	102	21	based	base	VERB
cana-1457	102	22	on	on	ADP
cana-1457	102	23	current	current	ADJ
cana-1457	102	24	environmental	environmental	ADJ
cana-1457	102	25	data	datum	NOUN
cana-1457	102	26	,	,	PUNCT
cana-1457	102	27	allowing	allow	VERB
cana-1457	102	28	farmers	farmer	NOUN
cana-1457	102	29	to	to	PART
cana-1457	102	30	proactively	proactively	ADV
cana-1457	102	31	adjust	adjust	VERB
cana-1457	102	32	the	the	DET
cana-1457	102	33	withering	wither	VERB
cana-1457	102	34	process	process	NOUN
cana-1457	102	35	.	.	PUNCT
cana-1457	103	1	the	the	DET
cana-1457	103	2	objective	objective	NOUN
cana-1457	103	3	is	be	AUX
cana-1457	103	4	not	not	PART
cana-1457	103	5	only	only	ADV
cana-1457	103	6	to	to	PART
cana-1457	103	7	improve	improve	VERB
cana-1457	103	8	tea	tea	NOUN
cana-1457	103	9	production	production	NOUN
cana-1457	103	10	but	but	CCONJ
cana-1457	103	11	also	also	ADV
cana-1457	103	12	to	to	PART
cana-1457	103	13	positively	positively	ADV
cana-1457	103	14	impact	impact	VERB
cana-1457	103	15	the	the	DET
cana-1457	103	16	livelihoods	livelihood	NOUN
cana-1457	103	17	of	of	ADP
cana-1457	103	18	small	small	ADJ
cana-1457	103	19	farmers	farmer	NOUN
cana-1457	103	20	in	in	ADP
cana-1457	103	21	the	the	DET
cana-1457	103	22	nilgiris[2	nilgiris[2	PROPN
cana-1457	103	23	]	]	PUNCT
cana-1457	103	24	by	by	ADP
cana-1457	103	25	offering	offer	VERB
cana-1457	103	26	them	they	PRON
cana-1457	103	27	modern	modern	ADJ
cana-1457	103	28	tools	tool	NOUN
cana-1457	103	29	to	to	PART
cana-1457	103	30	overcome	overcome	VERB
cana-1457	103	31	production	production	NOUN
cana-1457	103	32	challenges	challenge	NOUN
cana-1457	103	33	.	.	PUNCT
cana-1457	104	1	this	this	DET
cana-1457	104	2	research	research	NOUN
cana-1457	104	3	ultimately	ultimately	ADV
cana-1457	104	4	aims	aim	VERB
cana-1457	104	5	to	to	PART
cana-1457	104	6	foster	foster	VERB
cana-1457	104	7	sustainability	sustainability	NOUN
cana-1457	104	8	and	and	CCONJ
cana-1457	104	9	economic	economic	ADJ
cana-1457	104	10	stability	stability	NOUN
cana-1457	104	11	for	for	ADP
cana-1457	104	12	these	these	DET
cana-1457	104	13	farmers	farmer	NOUN
cana-1457	104	14	,	,	PUNCT
cana-1457	104	15	ensuring	ensure	VERB
cana-1457	104	16	that	that	SCONJ
cana-1457	104	17	they	they	PRON
cana-1457	104	18	can	can	AUX
cana-1457	104	19	continue	continue	VERB
cana-1457	104	20	to	to	PART
cana-1457	104	21	produce	produce	VERB
cana-1457	104	22	high	high	ADJ
cana-1457	104	23	-	-	PUNCT
cana-1457	104	24	quality	quality	NOUN
cana-1457	104	25	,	,	PUNCT
cana-1457	104	26	market	market	NOUN
cana-1457	104	27	-	-	PUNCT
cana-1457	104	28	competitive	competitive	ADJ
cana-1457	104	29	tea	tea	NOUN
cana-1457	104	30	while	while	SCONJ
cana-1457	104	31	preserving	preserve	VERB
cana-1457	104	32	their	their	PRON
cana-1457	104	33	traditional	traditional	ADJ
cana-1457	104	34	methods	method	NOUN
cana-1457	104	35	and	and	CCONJ
cana-1457	104	36	resources	resource	NOUN
cana-1457	104	37	.	.	PUNCT
cana-1457	105	1	3	3	X
cana-1457	105	2	.	.	X
cana-1457	105	3	literature	literature	NOUN
cana-1457	105	4	review	review	VERB
cana-1457	105	5	tea	tea	NOUN
cana-1457	105	6	processing	processing	NOUN
cana-1457	105	7	,	,	PUNCT
cana-1457	105	8	particularly	particularly	ADV
cana-1457	105	9	the	the	DET
cana-1457	105	10	withering	wither	VERB
cana-1457	105	11	stage	stage	NOUN
cana-1457	105	12	,	,	PUNCT
cana-1457	105	13	is	be	AUX
cana-1457	105	14	crucial	crucial	ADJ
cana-1457	105	15	for	for	ADP
cana-1457	105	16	determining	determine	VERB
cana-1457	105	17	the	the	DET
cana-1457	105	18	final	final	ADJ
cana-1457	105	19	tea	tea	NOUN
cana-1457	105	20	quality	quality	NOUN
cana-1457	105	21	.	.	PUNCT
cana-1457	106	1	over	over	ADP
cana-1457	106	2	the	the	DET
cana-1457	106	3	years	year	NOUN
cana-1457	106	4	,	,	PUNCT
cana-1457	106	5	advancements	advancement	NOUN
cana-1457	106	6	in	in	ADP
cana-1457	106	7	sensor	sensor	NOUN
cana-1457	106	8	technology	technology	NOUN
cana-1457	106	9	and	and	CCONJ
cana-1457	106	10	machine	machine	NOUN
cana-1457	106	11	learning	learning	NOUN
cana-1457	106	12	have	have	AUX
cana-1457	106	13	enabled	enable	VERB
cana-1457	106	14	the	the	DET
cana-1457	106	15	development	development	NOUN
cana-1457	106	16	of	of	ADP
cana-1457	106	17	more	more	ADV
cana-1457	106	18	sophisticated	sophisticated	ADJ
cana-1457	106	19	monitoring	monitoring	NOUN
cana-1457	106	20	systems	system	NOUN
cana-1457	106	21	for	for	ADP
cana-1457	106	22	various	various	ADJ
cana-1457	106	23	stages	stage	NOUN
cana-1457	106	24	of	of	ADP
cana-1457	106	25	tea	tea	NOUN
cana-1457	106	26	production	production	NOUN
cana-1457	106	27	.	.	PUNCT
cana-1457	107	1	studies	study	NOUN
cana-1457	107	2	have	have	AUX
cana-1457	107	3	demonstrated	demonstrate	VERB
cana-1457	107	4	the	the	DET
cana-1457	107	5	potential	potential	NOUN
cana-1457	107	6	of	of	ADP
cana-1457	107	7	iot	iot	PROPN
cana-1457	107	8	systems	system	NOUN
cana-1457	107	9	combined	combine	VERB
cana-1457	107	10	with	with	ADP
cana-1457	107	11	machine	machine	NOUN
cana-1457	107	12	learning	learn	VERB
cana-1457	107	13	to	to	PART
cana-1457	107	14	optimize	optimize	VERB
cana-1457	107	15	tea	tea	NOUN
cana-1457	107	16	production	production	NOUN
cana-1457	107	17	processes	process	NOUN
cana-1457	107	18	.	.	PUNCT
cana-1457	108	1	for	for	ADP
cana-1457	108	2	example	example	NOUN
cana-1457	108	3	,	,	PUNCT
cana-1457	108	4	yuan	yuan	NOUN
cana-1457	108	5	et	et	PROPN
cana-1457	108	6	al	al	PROPN
cana-1457	108	7	.	.	PROPN
cana-1457	109	1	(	(	PUNCT
cana-1457	109	2	2018	2018	NUM
cana-1457	109	3	)	)	PUNCT
cana-1457	109	4	used	use	VERB
cana-1457	109	5	image	image	NOUN
cana-1457	109	6	features	feature	NOUN
cana-1457	109	7	and	and	CCONJ
cana-1457	109	8	nonlinear	nonlinear	ADJ
cana-1457	109	9	methods	method	NOUN
cana-1457	109	10	to	to	PART
cana-1457	109	11	predict	predict	VERB
cana-1457	109	12	the	the	DET
cana-1457	109	13	moisture	moisture	NOUN
cana-1457	109	14	content	content	NOUN
cana-1457	109	15	of	of	ADP
cana-1457	109	16	withering	wither	VERB
cana-1457	109	17	leaves	leave	NOUN
cana-1457	109	18	,	,	PUNCT
cana-1457	109	19	highlighting	highlight	VERB
cana-1457	109	20	the	the	DET
cana-1457	109	21	need	need	NOUN
cana-1457	109	22	for	for	ADP
cana-1457	109	23	real	real	ADJ
cana-1457	109	24	-	-	PUNCT
cana-1457	109	25	time	time	NOUN
cana-1457	109	26	,	,	PUNCT
cana-1457	109	27	non	non	ADJ
cana-1457	109	28	-	-	ADJ
cana-1457	109	29	destructive	destructive	ADJ
cana-1457	109	30	techniques	technique	NOUN
cana-1457	109	31	to	to	PART
cana-1457	109	32	ensure	ensure	VERB
cana-1457	109	33	quality	quality	NOUN
cana-1457	109	34	control	control	NOUN
cana-1457	109	35	during	during	ADP
cana-1457	109	36	the	the	DET
cana-1457	109	37	critical	critical	ADJ
cana-1457	109	38	withering	withering	ADJ
cana-1457	109	39	stage[8	stage[8	NOUN
cana-1457	109	40	]	]	PUNCT
cana-1457	109	41	.	.	PUNCT
cana-1457	110	1	other	other	ADJ
cana-1457	110	2	studies	study	NOUN
cana-1457	110	3	,	,	PUNCT
cana-1457	110	4	such	such	ADJ
cana-1457	110	5	as	as	ADP
cana-1457	110	6	liang	liang	PROPN
cana-1457	110	7	et	et	PROPN
cana-1457	110	8	al	al	PROPN
cana-1457	110	9	.	.	PROPN
cana-1457	110	10	(	(	PUNCT
cana-1457	110	11	2016	2016	NUM
cana-1457	110	12	)	)	PUNCT
cana-1457	110	13	,	,	PUNCT
cana-1457	110	14	have	have	AUX
cana-1457	110	15	employed	employ	VERB
cana-1457	110	16	multivariate	multivariate	NOUN
cana-1457	110	17	statistical	statistical	ADJ
cana-1457	110	18	analysis	analysis	NOUN
cana-1457	110	19	with	with	ADP
cana-1457	110	20	electronic	electronic	ADJ
cana-1457	110	21	noses	nose	NOUN
cana-1457	110	22	to	to	PART
cana-1457	110	23	evaluate	evaluate	VERB
cana-1457	110	24	the	the	DET
cana-1457	110	25	quality	quality	NOUN
cana-1457	110	26	of	of	ADP
cana-1457	110	27	green	green	ADJ
cana-1457	110	28	and	and	CCONJ
cana-1457	110	29	dark	dark	ADJ
cana-1457	110	30	tea	tea	NOUN
cana-1457	110	31	,	,	PUNCT
cana-1457	110	32	further	far	ADV
cana-1457	110	33	emphasizing	emphasize	VERB
cana-1457	110	34	the	the	DET
cana-1457	110	35	importance	importance	NOUN
cana-1457	110	36	of	of	ADP
cana-1457	110	37	data	data	NOUN
cana-1457	110	38	-	-	PUNCT
cana-1457	110	39	driven	drive	VERB
cana-1457	110	40	approaches	approach	NOUN
cana-1457	110	41	in	in	ADP
cana-1457	110	42	the	the	DET
cana-1457	110	43	tea	tea	NOUN
cana-1457	110	44	industry[8	industry[8	NOUN
cana-1457	110	45	]	]	PUNCT
cana-1457	110	46	.	.	PUNCT
cana-1457	111	1	in	in	ADP
cana-1457	111	2	recent	recent	ADJ
cana-1457	111	3	years	year	NOUN
cana-1457	111	4	,	,	PUNCT
cana-1457	111	5	deep	deep	ADJ
cana-1457	111	6	learning	learning	NOUN
cana-1457	111	7	and	and	CCONJ
cana-1457	111	8	hybrid	hybrid	NOUN
cana-1457	111	9	models	model	NOUN
cana-1457	111	10	have	have	AUX
cana-1457	111	11	gained	gain	VERB
cana-1457	111	12	attention	attention	NOUN
cana-1457	111	13	for	for	ADP
cana-1457	111	14	their	their	PRON
cana-1457	111	15	ability	ability	NOUN
cana-1457	111	16	to	to	PART
cana-1457	111	17	handle	handle	VERB
cana-1457	111	18	the	the	DET
cana-1457	111	19	complexities	complexity	NOUN
cana-1457	111	20	of	of	ADP
cana-1457	111	21	agricultural	agricultural	ADJ
cana-1457	111	22	data	datum	NOUN
cana-1457	111	23	.	.	PUNCT
cana-1457	112	1	for	for	ADP
cana-1457	112	2	instance	instance	NOUN
cana-1457	112	3	,	,	PUNCT
cana-1457	112	4	an	an	DET
cana-1457	112	5	lstm	lstm	NOUN
cana-1457	112	6	-	-	PUNCT
cana-1457	112	7	based	base	VERB
cana-1457	112	8	model	model	NOUN
cana-1457	112	9	was	be	AUX
cana-1457	112	10	proposed	propose	VERB
cana-1457	112	11	to	to	PART
cana-1457	112	12	predict	predict	VERB
cana-1457	112	13	sensor	sensor	NOUN
cana-1457	112	14	data	datum	NOUN
cana-1457	112	15	in	in	ADP
cana-1457	112	16	tea	tea	NOUN
cana-1457	112	17	plantations	plantation	NOUN
cana-1457	112	18	,	,	PUNCT
cana-1457	112	19	demonstrating	demonstrate	VERB
cana-1457	112	20	superior	superior	ADJ
cana-1457	112	21	performance	performance	NOUN
cana-1457	112	22	in	in	ADP
cana-1457	112	23	learning	learn	VERB
cana-1457	112	24	long	long	ADJ
cana-1457	112	25	-	-	PUNCT
cana-1457	112	26	term	term	NOUN
cana-1457	112	27	dependencies	dependency	NOUN
cana-1457	112	28	in	in	ADP
cana-1457	112	29	time	time	NOUN
cana-1457	112	30	-	-	PUNCT
cana-1457	112	31	series	series	NOUN
cana-1457	112	32	data[2	data[2	PROPN
cana-1457	112	33	]	]	PUNCT
cana-1457	112	34	.	.	PUNCT
cana-1457	113	1	the	the	DET
cana-1457	113	2	use	use	NOUN
cana-1457	113	3	of	of	ADP
cana-1457	113	4	convolutional	convolutional	ADJ
cana-1457	113	5	neural	neural	ADJ
cana-1457	113	6	networks	network	NOUN
cana-1457	113	7	(	(	PUNCT
cana-1457	113	8	cnns	cnns	PROPN
cana-1457	113	9	)	)	PUNCT
cana-1457	113	10	combined	combine	VERB
cana-1457	113	11	with	with	ADP
cana-1457	113	12	support	support	NOUN
cana-1457	113	13	vector	vector	NOUN
cana-1457	113	14	communications	communication	NOUN
cana-1457	113	15	on	on	ADP
cana-1457	113	16	applied	apply	VERB
cana-1457	113	17	nonlinear	nonlinear	ADJ
cana-1457	113	18	analysis	analysis	NOUN
cana-1457	113	19	issn	issn	NOUN
cana-1457	113	20	:	:	PUNCT
cana-1457	113	21	1074	1074	NUM
cana-1457	113	22	-	-	PUNCT
cana-1457	113	23	133x	133x	NUM
cana-1457	113	24	vol	vol	NOUN
cana-1457	113	25	31	31	NUM
cana-1457	113	26	no	no	NOUN
cana-1457	113	27	.	.	PUNCT
cana-1457	114	1	8s	8s	PROPN
cana-1457	114	2	(	(	PUNCT
cana-1457	114	3	2024	2024	NUM
cana-1457	114	4	)	)	PUNCT
cana-1457	114	5	61	61	NUM
cana-1457	114	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	114	7	machines	machine	NOUN
cana-1457	114	8	(	(	PUNCT
cana-1457	114	9	svms	svms	NOUN
cana-1457	114	10	)	)	PUNCT
cana-1457	114	11	has	have	AUX
cana-1457	114	12	shown	show	VERB
cana-1457	114	13	promise	promise	NOUN
cana-1457	114	14	in	in	ADP
cana-1457	114	15	detecting	detect	VERB
cana-1457	114	16	anomalies	anomaly	NOUN
cana-1457	114	17	in	in	ADP
cana-1457	114	18	iot	iot	PROPN
cana-1457	114	19	data	datum	NOUN
cana-1457	114	20	collected	collect	VERB
cana-1457	114	21	from	from	ADP
cana-1457	114	22	tea	tea	NOUN
cana-1457	114	23	plantations	plantation	NOUN
cana-1457	114	24	,	,	PUNCT
cana-1457	114	25	achieving	achieve	VERB
cana-1457	114	26	high	high	ADJ
cana-1457	114	27	accuracy	accuracy	NOUN
cana-1457	114	28	and	and	CCONJ
cana-1457	114	29	improving	improve	VERB
cana-1457	114	30	the	the	DET
cana-1457	114	31	detection	detection	NOUN
cana-1457	114	32	of	of	ADP
cana-1457	114	33	abnormal	abnormal	ADJ
cana-1457	114	34	sensor	sensor	NOUN
cana-1457	114	35	data[9][9	data[9][9	NOUN
cana-1457	114	36	]	]	PUNCT
cana-1457	114	37	.	.	PUNCT
cana-1457	115	1	moreover	moreover	ADV
cana-1457	115	2	,	,	PUNCT
cana-1457	115	3	hyperspectral	hyperspectral	ADJ
cana-1457	115	4	imaging	imaging	NOUN
cana-1457	115	5	has	have	AUX
cana-1457	115	6	been	be	AUX
cana-1457	115	7	increasingly	increasingly	ADV
cana-1457	115	8	applied	apply	VERB
cana-1457	115	9	in	in	ADP
cana-1457	115	10	tea	tea	NOUN
cana-1457	115	11	production	production	NOUN
cana-1457	115	12	for	for	ADP
cana-1457	115	13	real	real	ADJ
cana-1457	115	14	-	-	PUNCT
cana-1457	115	15	time	time	NOUN
cana-1457	115	16	quality	quality	NOUN
cana-1457	115	17	monitoring	monitoring	NOUN
cana-1457	115	18	.	.	PUNCT
cana-1457	116	1	researchers	researcher	NOUN
cana-1457	116	2	such	such	ADJ
cana-1457	116	3	as	as	ADP
cana-1457	116	4	li	li	PROPN
cana-1457	116	5	et	et	PROPN
cana-1457	116	6	al	al	PROPN
cana-1457	116	7	.	.	PROPN
cana-1457	116	8	(	(	PUNCT
cana-1457	116	9	2021	2021	NUM
cana-1457	116	10	)	)	PUNCT
cana-1457	116	11	have	have	AUX
cana-1457	116	12	developed	develop	VERB
cana-1457	116	13	models	model	NOUN
cana-1457	116	14	based	base	VERB
cana-1457	116	15	on	on	ADP
cana-1457	116	16	hyperspectral	hyperspectral	ADJ
cana-1457	116	17	data	datum	NOUN
cana-1457	116	18	to	to	PART
cana-1457	116	19	predict	predict	VERB
cana-1457	116	20	the	the	DET
cana-1457	116	21	fermentation	fermentation	NOUN
cana-1457	116	22	quality	quality	NOUN
cana-1457	116	23	of	of	ADP
cana-1457	116	24	black	black	ADJ
cana-1457	116	25	tea	tea	NOUN
cana-1457	116	26	,	,	PUNCT
cana-1457	116	27	significantly	significantly	ADV
cana-1457	116	28	improving	improve	VERB
cana-1457	116	29	the	the	DET
cana-1457	116	30	speed	speed	NOUN
cana-1457	116	31	and	and	CCONJ
cana-1457	116	32	accuracy	accuracy	NOUN
cana-1457	116	33	of	of	ADP
cana-1457	116	34	quality	quality	NOUN
cana-1457	116	35	assessments(1	assessments(1	NOUN
cana-1457	116	36	)	)	PUNCT
cana-1457	116	37	.	.	PUNCT
cana-1457	117	1	these	these	DET
cana-1457	117	2	studies	study	NOUN
cana-1457	117	3	collectively	collectively	ADV
cana-1457	117	4	underscore	underscore	VERB
cana-1457	117	5	the	the	DET
cana-1457	117	6	growing	grow	VERB
cana-1457	117	7	importance	importance	NOUN
cana-1457	117	8	of	of	ADP
cana-1457	117	9	iot	iot	NOUN
cana-1457	117	10	and	and	CCONJ
cana-1457	117	11	machine	machine	NOUN
cana-1457	117	12	learning	learning	NOUN
cana-1457	117	13	models	model	NOUN
cana-1457	117	14	in	in	ADP
cana-1457	117	15	enhancing	enhance	VERB
cana-1457	117	16	tea	tea	NOUN
cana-1457	117	17	production	production	NOUN
cana-1457	117	18	efficiency	efficiency	NOUN
cana-1457	117	19	and	and	CCONJ
cana-1457	117	20	quality	quality	NOUN
cana-1457	117	21	monitoring	monitoring	NOUN
cana-1457	117	22	.	.	PUNCT
cana-1457	118	1	despite	despite	SCONJ
cana-1457	118	2	the	the	DET
cana-1457	118	3	progress	progress	NOUN
cana-1457	118	4	,	,	PUNCT
cana-1457	118	5	challenges	challenge	NOUN
cana-1457	118	6	remain	remain	VERB
cana-1457	118	7	in	in	ADP
cana-1457	118	8	integrating	integrate	VERB
cana-1457	118	9	machine	machine	NOUN
cana-1457	118	10	learning	learning	NOUN
cana-1457	118	11	models	model	NOUN
cana-1457	118	12	into	into	ADP
cana-1457	118	13	iot	iot	ADJ
cana-1457	118	14	systems	system	NOUN
cana-1457	118	15	for	for	ADP
cana-1457	118	16	tea	tea	NOUN
cana-1457	118	17	processing	processing	NOUN
cana-1457	118	18	,	,	PUNCT
cana-1457	118	19	especially	especially	ADV
cana-1457	118	20	concerning	concern	VERB
cana-1457	118	21	the	the	DET
cana-1457	118	22	handling	handling	NOUN
cana-1457	118	23	of	of	ADP
cana-1457	118	24	abnormal	abnormal	ADJ
cana-1457	118	25	data	datum	NOUN
cana-1457	118	26	in	in	ADP
cana-1457	118	27	real	real	ADJ
cana-1457	118	28	-	-	PUNCT
cana-1457	118	29	time	time	NOUN
cana-1457	118	30	sensor	sensor	NOUN
cana-1457	118	31	networks	network	NOUN
cana-1457	118	32	.	.	PUNCT
cana-1457	119	1	approaches	approach	NOUN
cana-1457	119	2	like	like	ADP
cana-1457	119	3	the	the	DET
cana-1457	119	4	cnn	cnn	PROPN
cana-1457	119	5	-	-	PUNCT
cana-1457	119	6	svm	svm	PROPN
cana-1457	119	7	and	and	CCONJ
cana-1457	119	8	lstm	lstm	NOUN
cana-1457	119	9	models	model	NOUN
cana-1457	119	10	provide	provide	VERB
cana-1457	119	11	a	a	DET
cana-1457	119	12	promising	promising	ADJ
cana-1457	119	13	direction	direction	NOUN
cana-1457	119	14	for	for	ADP
cana-1457	119	15	future	future	ADJ
cana-1457	119	16	research	research	NOUN
cana-1457	119	17	[	[	X
cana-1457	119	18	10	10	NUM
cana-1457	119	19	]	]	PUNCT
cana-1457	119	20	.	.	PUNCT
cana-1457	120	1	zou	zou	PROPN
cana-1457	120	2	et	et	PROPN
cana-1457	120	3	al	al	PROPN
cana-1457	120	4	.	.	PROPN
cana-1457	120	5	(	(	PUNCT
cana-1457	120	6	2022	2022	NUM
cana-1457	120	7	)	)	PUNCT
cana-1457	120	8	developed	develop	VERB
cana-1457	120	9	a	a	DET
cana-1457	120	10	predictive	predictive	ADJ
cana-1457	120	11	model	model	NOUN
cana-1457	120	12	for	for	ADP
cana-1457	120	13	moisture	moisture	NOUN
cana-1457	120	14	content	content	NOUN
cana-1457	120	15	in	in	ADP
cana-1457	120	16	black	black	ADJ
cana-1457	120	17	tea	tea	NOUN
cana-1457	120	18	using	use	VERB
cana-1457	120	19	a	a	DET
cana-1457	120	20	miniaturized	miniaturize	VERB
cana-1457	120	21	near	near	ADV
cana-1457	120	22	-	-	PUNCT
cana-1457	120	23	infrared	infrared	ADJ
cana-1457	120	24	spectrometer	spectrometer	NOUN
cana-1457	120	25	(	(	PUNCT
cana-1457	120	26	micro	micro	NOUN
cana-1457	120	27	-	-	NOUN
cana-1457	120	28	nirs	nir	NOUN
cana-1457	120	29	)	)	PUNCT
cana-1457	120	30	coupled	couple	VERB
cana-1457	120	31	with	with	ADP
cana-1457	120	32	machine	machine	NOUN
cana-1457	120	33	learning	learn	VERB
cana-1457	120	34	algorithms	algorithm	NOUN
cana-1457	120	35	such	such	ADJ
cana-1457	120	36	as	as	ADP
cana-1457	120	37	partial	partial	ADJ
cana-1457	120	38	least	least	ADJ
cana-1457	120	39	squares	square	NOUN
cana-1457	120	40	(	(	PUNCT
cana-1457	120	41	pls	pls	INTJ
cana-1457	120	42	)	)	PUNCT
cana-1457	120	43	and	and	CCONJ
cana-1457	120	44	support	support	VERB
cana-1457	120	45	vector	vector	NOUN
cana-1457	120	46	regression	regression	NOUN
cana-1457	120	47	(	(	PUNCT
cana-1457	120	48	svr	svr	PROPN
cana-1457	120	49	)	)	PUNCT
cana-1457	120	50	.	.	PUNCT
cana-1457	121	1	their	their	PRON
cana-1457	121	2	study	study	NOUN
cana-1457	121	3	demonstrated	demonstrate	VERB
cana-1457	121	4	the	the	DET
cana-1457	121	5	effectiveness	effectiveness	NOUN
cana-1457	121	6	of	of	ADP
cana-1457	121	7	combining	combine	VERB
cana-1457	121	8	spectral	spectral	ADJ
cana-1457	121	9	pre	pre	ADJ
cana-1457	121	10	-	-	ADJ
cana-1457	121	11	processing	processing	ADJ
cana-1457	121	12	methods	method	NOUN
cana-1457	121	13	like	like	ADP
cana-1457	121	14	snv	snv	PROPN
cana-1457	121	15	with	with	ADP
cana-1457	121	16	pca	pca	PROPN
cana-1457	121	17	to	to	PART
cana-1457	121	18	improve	improve	VERB
cana-1457	121	19	the	the	DET
cana-1457	121	20	accuracy	accuracy	NOUN
cana-1457	121	21	of	of	ADP
cana-1457	121	22	moisture	moisture	NOUN
cana-1457	121	23	content	content	NOUN
cana-1457	121	24	prediction[11	prediction[11	PROPN
cana-1457	121	25	]	]	PUNCT
cana-1457	121	26	.	.	PUNCT
cana-1457	122	1	liang	liang	PROPN
cana-1457	122	2	et	et	PROPN
cana-1457	122	3	al	al	PROPN
cana-1457	122	4	.	.	PROPN
cana-1457	123	1	(	(	PUNCT
cana-1457	123	2	2018	2018	NUM
cana-1457	123	3	)	)	PUNCT
cana-1457	123	4	emphasized	emphasize	VERB
cana-1457	123	5	the	the	DET
cana-1457	123	6	importance	importance	NOUN
cana-1457	123	7	of	of	ADP
cana-1457	123	8	image	image	NOUN
cana-1457	123	9	-	-	PUNCT
cana-1457	123	10	based	base	VERB
cana-1457	123	11	features	feature	NOUN
cana-1457	123	12	and	and	CCONJ
cana-1457	123	13	nonlinear	nonlinear	ADJ
cana-1457	123	14	methods	method	NOUN
cana-1457	123	15	in	in	ADP
cana-1457	123	16	predicting	predict	VERB
cana-1457	123	17	moisture	moisture	NOUN
cana-1457	123	18	levels	level	NOUN
cana-1457	123	19	during	during	ADP
cana-1457	123	20	the	the	DET
cana-1457	123	21	withering	wither	VERB
cana-1457	123	22	process	process	NOUN
cana-1457	123	23	.	.	PUNCT
cana-1457	124	1	their	their	PRON
cana-1457	124	2	approach	approach	NOUN
cana-1457	124	3	highlighted	highlight	VERB
cana-1457	124	4	the	the	DET
cana-1457	124	5	potential	potential	NOUN
cana-1457	124	6	for	for	ADP
cana-1457	124	7	non	non	ADJ
cana-1457	124	8	-	-	ADJ
cana-1457	124	9	destructive	destructive	ADJ
cana-1457	124	10	,	,	PUNCT
cana-1457	124	11	real	real	ADJ
cana-1457	124	12	-	-	PUNCT
cana-1457	124	13	time	time	NOUN
cana-1457	124	14	monitoring	monitoring	NOUN
cana-1457	124	15	,	,	PUNCT
cana-1457	124	16	which	which	PRON
cana-1457	124	17	is	be	AUX
cana-1457	124	18	essential	essential	ADJ
cana-1457	124	19	for	for	ADP
cana-1457	124	20	maintaining	maintain	VERB
cana-1457	124	21	consistent	consistent	ADJ
cana-1457	124	22	tea	tea	NOUN
cana-1457	124	23	quality	quality	NOUN
cana-1457	124	24	.	.	PUNCT
cana-1457	125	1	similarly	similarly	ADV
cana-1457	125	2	,	,	PUNCT
cana-1457	125	3	studies	study	NOUN
cana-1457	125	4	utilizing	utilize	VERB
cana-1457	125	5	hyperspectral	hyperspectral	ADJ
cana-1457	125	6	imaging	imaging	NOUN
cana-1457	125	7	and	and	CCONJ
cana-1457	125	8	machine	machine	NOUN
cana-1457	125	9	learning	learning	NOUN
cana-1457	125	10	models	model	NOUN
cana-1457	125	11	,	,	PUNCT
cana-1457	125	12	such	such	ADJ
cana-1457	125	13	as	as	ADP
cana-1457	125	14	convolutional	convolutional	ADJ
cana-1457	125	15	neural	neural	ADJ
cana-1457	125	16	networks	network	NOUN
cana-1457	125	17	(	(	PUNCT
cana-1457	125	18	cnns	cnns	PROPN
cana-1457	125	19	)	)	PUNCT
cana-1457	125	20	and	and	CCONJ
cana-1457	125	21	support	support	VERB
cana-1457	125	22	vector	vector	NOUN
cana-1457	125	23	machines	machine	NOUN
cana-1457	125	24	(	(	PUNCT
cana-1457	125	25	svms	svms	NOUN
cana-1457	125	26	)	)	PUNCT
cana-1457	125	27	,	,	PUNCT
cana-1457	125	28	have	have	AUX
cana-1457	125	29	shown	show	VERB
cana-1457	125	30	promise	promise	NOUN
cana-1457	125	31	in	in	ADP
cana-1457	125	32	detecting	detect	VERB
cana-1457	125	33	anomalies	anomaly	NOUN
cana-1457	125	34	in	in	ADP
cana-1457	125	35	sensor	sensor	NOUN
cana-1457	125	36	data	datum	NOUN
cana-1457	125	37	and	and	CCONJ
cana-1457	125	38	improving	improve	VERB
cana-1457	125	39	the	the	DET
cana-1457	125	40	prediction	prediction	NOUN
cana-1457	125	41	of	of	ADP
cana-1457	125	42	moisture	moisture	NOUN
cana-1457	125	43	content	content	NOUN
cana-1457	125	44	in	in	ADP
cana-1457	125	45	tea	tea	NOUN
cana-1457	125	46	leaves[11	leaves[11	PROPN
cana-1457	125	47	]	]	PUNCT
cana-1457	125	48	.	.	PUNCT
cana-1457	126	1	the	the	DET
cana-1457	126	2	application	application	NOUN
cana-1457	126	3	of	of	ADP
cana-1457	126	4	deep	deep	ADJ
cana-1457	126	5	learning	learning	NOUN
cana-1457	126	6	models	model	NOUN
cana-1457	126	7	,	,	PUNCT
cana-1457	126	8	particularly	particularly	ADV
cana-1457	126	9	long	long	ADJ
cana-1457	126	10	short	short	ADJ
cana-1457	126	11	-	-	PUNCT
cana-1457	126	12	term	term	NOUN
cana-1457	126	13	memory	memory	NOUN
cana-1457	126	14	(	(	PUNCT
cana-1457	126	15	lstm	lstm	NOUN
cana-1457	126	16	)	)	PUNCT
cana-1457	126	17	networks	network	NOUN
cana-1457	126	18	,	,	PUNCT
cana-1457	126	19	has	have	AUX
cana-1457	126	20	also	also	ADV
cana-1457	126	21	been	be	AUX
cana-1457	126	22	explored	explore	VERB
cana-1457	126	23	to	to	PART
cana-1457	126	24	predict	predict	VERB
cana-1457	126	25	sensor	sensor	NOUN
cana-1457	126	26	data	datum	NOUN
cana-1457	126	27	patterns	pattern	NOUN
cana-1457	126	28	in	in	ADP
cana-1457	126	29	tea	tea	NOUN
cana-1457	126	30	plantations	plantation	NOUN
cana-1457	126	31	.	.	PUNCT
cana-1457	127	1	these	these	DET
cana-1457	127	2	models	model	NOUN
cana-1457	127	3	have	have	AUX
cana-1457	127	4	proven	prove	VERB
cana-1457	127	5	effective	effective	ADJ
cana-1457	127	6	in	in	ADP
cana-1457	127	7	handling	handle	VERB
cana-1457	127	8	time	time	NOUN
cana-1457	127	9	-	-	PUNCT
cana-1457	127	10	series	series	NOUN
cana-1457	127	11	data	datum	NOUN
cana-1457	127	12	,	,	PUNCT
cana-1457	127	13	which	which	PRON
cana-1457	127	14	is	be	AUX
cana-1457	127	15	crucial	crucial	ADJ
cana-1457	127	16	for	for	ADP
cana-1457	127	17	monitoring	monitor	VERB
cana-1457	127	18	environmental	environmental	ADJ
cana-1457	127	19	factors	factor	NOUN
cana-1457	127	20	during	during	ADP
cana-1457	127	21	tea	tea	NOUN
cana-1457	127	22	processing	processing	NOUN
cana-1457	127	23	.	.	PUNCT
cana-1457	128	1	additionally	additionally	ADV
cana-1457	128	2	,	,	PUNCT
cana-1457	128	3	hybrid	hybrid	ADJ
cana-1457	128	4	models	model	NOUN
cana-1457	128	5	like	like	ADP
cana-1457	128	6	snv	snv	PROPN
cana-1457	128	7	-	-	PUNCT
cana-1457	128	8	pca	pca	PROPN
cana-1457	128	9	-	-	PUNCT
cana-1457	128	10	gwo	gwo	NOUN
cana-1457	128	11	-	-	NOUN
cana-1457	128	12	svr	svr	PROPN
cana-1457	128	13	have	have	AUX
cana-1457	128	14	been	be	AUX
cana-1457	128	15	developed	develop	VERB
cana-1457	128	16	to	to	PART
cana-1457	128	17	further	far	ADV
cana-1457	128	18	enhance	enhance	VERB
cana-1457	128	19	the	the	DET
cana-1457	128	20	predictive	predictive	ADJ
cana-1457	128	21	accuracy	accuracy	NOUN
cana-1457	128	22	,	,	PUNCT
cana-1457	128	23	demonstrating	demonstrate	VERB
cana-1457	128	24	a	a	DET
cana-1457	128	25	high	high	ADJ
cana-1457	128	26	correlation	correlation	NOUN
cana-1457	128	27	between	between	ADP
cana-1457	128	28	predicted	predict	VERB
cana-1457	128	29	and	and	CCONJ
cana-1457	128	30	actual	actual	ADJ
cana-1457	128	31	moisture	moisture	NOUN
cana-1457	128	32	content[11	content[11	ADV
cana-1457	128	33	]	]	PUNCT
cana-1457	128	34	.	.	PUNCT
cana-1457	129	1	however	however	ADV
cana-1457	129	2	,	,	PUNCT
cana-1457	129	3	while	while	SCONJ
cana-1457	129	4	these	these	DET
cana-1457	129	5	advancements	advancement	NOUN
cana-1457	129	6	are	be	AUX
cana-1457	129	7	promising	promise	VERB
cana-1457	129	8	,	,	PUNCT
cana-1457	129	9	they	they	PRON
cana-1457	129	10	are	be	AUX
cana-1457	129	11	not	not	PART
cana-1457	129	12	without	without	ADP
cana-1457	129	13	limitations	limitation	NOUN
cana-1457	129	14	.	.	PUNCT
cana-1457	130	1	one	one	NUM
cana-1457	130	2	major	major	ADJ
cana-1457	130	3	drawback	drawback	NOUN
cana-1457	130	4	is	be	AUX
cana-1457	130	5	the	the	DET
cana-1457	130	6	reliance	reliance	NOUN
cana-1457	130	7	on	on	ADP
cana-1457	130	8	specific	specific	ADJ
cana-1457	130	9	tea	tea	NOUN
cana-1457	130	10	varieties	variety	NOUN
cana-1457	130	11	in	in	ADP
cana-1457	130	12	the	the	DET
cana-1457	130	13	studies	study	NOUN
cana-1457	130	14	,	,	PUNCT
cana-1457	130	15	which	which	PRON
cana-1457	130	16	may	may	AUX
cana-1457	130	17	limit	limit	VERB
cana-1457	130	18	the	the	DET
cana-1457	130	19	generalizability	generalizability	NOUN
cana-1457	130	20	of	of	ADP
cana-1457	130	21	the	the	DET
cana-1457	130	22	models	model	NOUN
cana-1457	130	23	to	to	ADP
cana-1457	130	24	other	other	ADJ
cana-1457	130	25	types	type	NOUN
cana-1457	130	26	of	of	ADP
cana-1457	130	27	tea	tea	NOUN
cana-1457	130	28	.	.	PUNCT
cana-1457	131	1	additionally	additionally	ADV
cana-1457	131	2	,	,	PUNCT
cana-1457	131	3	the	the	DET
cana-1457	131	4	complexity	complexity	NOUN
cana-1457	131	5	of	of	ADP
cana-1457	131	6	the	the	DET
cana-1457	131	7	models	model	NOUN
cana-1457	131	8	,	,	PUNCT
cana-1457	131	9	particularly	particularly	ADV
cana-1457	131	10	those	those	PRON
cana-1457	131	11	involving	involve	VERB
cana-1457	131	12	hybrid	hybrid	ADJ
cana-1457	131	13	techniques	technique	NOUN
cana-1457	131	14	,	,	PUNCT
cana-1457	131	15	may	may	AUX
cana-1457	131	16	pose	pose	VERB
cana-1457	131	17	challenges	challenge	NOUN
cana-1457	131	18	in	in	ADP
cana-1457	131	19	real	real	ADJ
cana-1457	131	20	-	-	PUNCT
cana-1457	131	21	time	time	NOUN
cana-1457	131	22	implementation	implementation	NOUN
cana-1457	131	23	and	and	CCONJ
cana-1457	131	24	scalability	scalability	NOUN
cana-1457	131	25	across	across	ADP
cana-1457	131	26	different	different	ADJ
cana-1457	131	27	tea	tea	NOUN
cana-1457	131	28	processing	processing	NOUN
cana-1457	131	29	environments[11	environments[11	NOUN
cana-1457	131	30	]	]	PUNCT
cana-1457	131	31	.	.	PUNCT
cana-1457	132	1	furthermore	furthermore	ADV
cana-1457	132	2	,	,	PUNCT
cana-1457	132	3	the	the	DET
cana-1457	132	4	robustness	robustness	NOUN
cana-1457	132	5	of	of	ADP
cana-1457	132	6	these	these	DET
cana-1457	132	7	models	model	NOUN
cana-1457	132	8	in	in	ADP
cana-1457	132	9	varying	vary	VERB
cana-1457	132	10	environmental	environmental	ADJ
cana-1457	132	11	conditions	condition	NOUN
cana-1457	132	12	,	,	PUNCT
cana-1457	132	13	such	such	ADJ
cana-1457	132	14	as	as	ADP
cana-1457	132	15	fluctuating	fluctuate	VERB
cana-1457	132	16	humidity	humidity	NOUN
cana-1457	132	17	and	and	CCONJ
cana-1457	132	18	temperature	temperature	NOUN
cana-1457	132	19	,	,	PUNCT
cana-1457	132	20	remains	remain	VERB
cana-1457	132	21	a	a	DET
cana-1457	132	22	concern	concern	NOUN
cana-1457	132	23	.	.	PUNCT
cana-1457	133	1	the	the	DET
cana-1457	133	2	models	model	NOUN
cana-1457	133	3	often	often	ADV
cana-1457	133	4	require	require	VERB
cana-1457	133	5	extensive	extensive	ADJ
cana-1457	133	6	pre	pre	ADJ
cana-1457	133	7	-	-	ADJ
cana-1457	133	8	processing	processing	NOUN
cana-1457	133	9	and	and	CCONJ
cana-1457	133	10	optimization	optimization	NOUN
cana-1457	133	11	to	to	PART
cana-1457	133	12	achieve	achieve	VERB
cana-1457	133	13	high	high	ADJ
cana-1457	133	14	accuracy	accuracy	NOUN
cana-1457	133	15	,	,	PUNCT
cana-1457	133	16	which	which	PRON
cana-1457	133	17	can	can	AUX
cana-1457	133	18	be	be	AUX
cana-1457	133	19	computationally	computationally	ADV
cana-1457	133	20	intensive	intensive	ADJ
cana-1457	133	21	and	and	CCONJ
cana-1457	133	22	may	may	AUX
cana-1457	133	23	not	not	PART
cana-1457	133	24	be	be	AUX
cana-1457	133	25	feasible	feasible	ADJ
cana-1457	133	26	for	for	ADP
cana-1457	133	27	small	small	ADJ
cana-1457	133	28	-	-	PUNCT
cana-1457	133	29	scale	scale	NOUN
cana-1457	133	30	tea	tea	NOUN
cana-1457	133	31	producers[11	producers[11	NOUN
cana-1457	133	32	]	]	PUNCT
cana-1457	133	33	another	another	DET
cana-1457	133	34	issue	issue	NOUN
cana-1457	133	35	is	be	AUX
cana-1457	133	36	the	the	DET
cana-1457	133	37	potential	potential	NOUN
cana-1457	133	38	for	for	ADP
cana-1457	133	39	noise	noise	NOUN
cana-1457	133	40	and	and	CCONJ
cana-1457	133	41	irrelevant	irrelevant	ADJ
cana-1457	133	42	data	datum	NOUN
cana-1457	133	43	in	in	ADP
cana-1457	133	44	spectral	spectral	ADJ
cana-1457	133	45	readings	reading	NOUN
cana-1457	133	46	,	,	PUNCT
cana-1457	133	47	which	which	PRON
cana-1457	133	48	can	can	AUX
cana-1457	133	49	adversely	adversely	ADV
cana-1457	133	50	affect	affect	VERB
cana-1457	133	51	the	the	DET
cana-1457	133	52	model	model	NOUN
cana-1457	133	53	's	's	PART
cana-1457	133	54	performance	performance	NOUN
cana-1457	133	55	if	if	SCONJ
cana-1457	133	56	not	not	PART
cana-1457	133	57	properly	properly	ADV
cana-1457	133	58	addressed	address	VERB
cana-1457	133	59	during	during	ADP
cana-1457	133	60	preprocessing[11	preprocessing[11	NUM
cana-1457	133	61	]	]	PUNCT
cana-1457	133	62	.	.	PUNCT
cana-1457	134	1	communications	communication	NOUN
cana-1457	134	2	on	on	ADP
cana-1457	134	3	applied	apply	VERB
cana-1457	134	4	nonlinear	nonlinear	ADJ
cana-1457	134	5	analysis	analysis	NOUN
cana-1457	134	6	issn	issn	NOUN
cana-1457	134	7	:	:	PUNCT
cana-1457	134	8	1074	1074	NUM
cana-1457	134	9	-	-	PUNCT
cana-1457	134	10	133x	133x	NUM
cana-1457	134	11	vol	vol	NOUN
cana-1457	134	12	31	31	NUM
cana-1457	134	13	no	no	NOUN
cana-1457	134	14	.	.	PUNCT
cana-1457	135	1	8s	8s	PROPN
cana-1457	135	2	(	(	PUNCT
cana-1457	135	3	2024	2024	NUM
cana-1457	135	4	)	)	PUNCT
cana-1457	135	5	62	62	NUM
cana-1457	135	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	135	7	studies	study	NOUN
cana-1457	135	8	have	have	AUX
cana-1457	135	9	shown	show	VERB
cana-1457	135	10	promising	promising	ADJ
cana-1457	135	11	results	result	NOUN
cana-1457	135	12	in	in	ADP
cana-1457	135	13	using	use	VERB
cana-1457	135	14	iot	iot	NOUN
cana-1457	135	15	-	-	PUNCT
cana-1457	135	16	based	base	VERB
cana-1457	135	17	systems	system	NOUN
cana-1457	135	18	for	for	ADP
cana-1457	135	19	tea	tea	NOUN
cana-1457	135	20	processing	processing	NOUN
cana-1457	135	21	.	.	PUNCT
cana-1457	136	1	zou	zou	PROPN
cana-1457	136	2	et	et	PROPN
cana-1457	136	3	al	al	PROPN
cana-1457	136	4	.	.	PROPN
cana-1457	136	5	(	(	PUNCT
cana-1457	136	6	2022	2022	NUM
cana-1457	136	7	)	)	PUNCT
cana-1457	136	8	used	use	VERB
cana-1457	136	9	a	a	DET
cana-1457	136	10	combination	combination	NOUN
cana-1457	136	11	of	of	ADP
cana-1457	136	12	iot	iot	NOUN
cana-1457	136	13	and	and	CCONJ
cana-1457	136	14	machine	machine	NOUN
cana-1457	136	15	learning	learning	NOUN
cana-1457	136	16	models	model	NOUN
cana-1457	136	17	,	,	PUNCT
cana-1457	136	18	particularly	particularly	ADV
cana-1457	136	19	support	support	VERB
cana-1457	136	20	vector	vector	NOUN
cana-1457	136	21	regression	regression	NOUN
cana-1457	136	22	(	(	PUNCT
cana-1457	136	23	svr	svr	PROPN
cana-1457	136	24	)	)	PUNCT
cana-1457	136	25	and	and	CCONJ
cana-1457	136	26	partial	partial	ADJ
cana-1457	136	27	least	least	ADJ
cana-1457	136	28	squares	square	NOUN
cana-1457	136	29	(	(	PUNCT
cana-1457	136	30	pls	pls	INTJ
cana-1457	136	31	)	)	PUNCT
cana-1457	136	32	,	,	PUNCT
cana-1457	136	33	to	to	PART
cana-1457	136	34	predict	predict	VERB
cana-1457	136	35	moisture	moisture	NOUN
cana-1457	136	36	content	content	NOUN
cana-1457	136	37	during	during	ADP
cana-1457	136	38	tea	tea	NOUN
cana-1457	136	39	withering	withering	NOUN
cana-1457	136	40	.	.	PUNCT
cana-1457	137	1	by	by	ADP
cana-1457	137	2	integrating	integrate	VERB
cana-1457	137	3	iot	iot	NOUN
cana-1457	137	4	-	-	PUNCT
cana-1457	137	5	based	base	VERB
cana-1457	137	6	sensors	sensor	NOUN
cana-1457	137	7	like	like	ADP
cana-1457	137	8	near	near	ADV
cana-1457	137	9	-	-	PUNCT
cana-1457	137	10	infrared	infrared	ADJ
cana-1457	137	11	spectroscopy	spectroscopy	NOUN
cana-1457	137	12	(	(	PUNCT
cana-1457	137	13	nirs	nirs	PROPN
cana-1457	137	14	)	)	PUNCT
cana-1457	137	15	,	,	PUNCT
cana-1457	137	16	these	these	DET
cana-1457	137	17	models	model	NOUN
cana-1457	137	18	achieved	achieve	VERB
cana-1457	137	19	improved	improved	ADJ
cana-1457	137	20	accuracy	accuracy	NOUN
cana-1457	137	21	in	in	ADP
cana-1457	137	22	moisture	moisture	NOUN
cana-1457	137	23	prediction	prediction	NOUN
cana-1457	137	24	during	during	ADP
cana-1457	137	25	the	the	DET
cana-1457	137	26	critical	critical	ADJ
cana-1457	137	27	stages	stage	NOUN
cana-1457	137	28	of	of	ADP
cana-1457	137	29	tea	tea	NOUN
cana-1457	137	30	processing[11	processing[11	NOUN
cana-1457	137	31	]	]	PUNCT
cana-1457	137	32	.	.	PUNCT
cana-1457	138	1	similarly	similarly	ADV
cana-1457	138	2	,	,	PUNCT
cana-1457	138	3	faruk	faruk	PROPN
cana-1457	138	4	ahmed	ahmed	PROPN
cana-1457	138	5	and	and	CCONJ
cana-1457	138	6	dr.taimur	dr.taimur	DET
cana-1457	138	7	ahad	ahad	PROPN
cana-1457	138	8	(	(	PUNCT
cana-1457	138	9	2023	2023	NUM
cana-1457	138	10	)	)	PUNCT
cana-1457	138	11	provided	provide	VERB
cana-1457	138	12	an	an	DET
cana-1457	138	13	extensive	extensive	ADJ
cana-1457	138	14	review	review	NOUN
cana-1457	138	15	of	of	ADP
cana-1457	138	16	machine	machine	NOUN
cana-1457	138	17	learning	learning	NOUN
cana-1457	138	18	methods	method	NOUN
cana-1457	138	19	used	use	VERB
cana-1457	138	20	in	in	ADP
cana-1457	138	21	disease	disease	NOUN
cana-1457	138	22	detection	detection	NOUN
cana-1457	138	23	in	in	ADP
cana-1457	138	24	tea	tea	NOUN
cana-1457	138	25	leaves[12	leaves[12	PROPN
cana-1457	138	26	]	]	PUNCT
cana-1457	138	27	.	.	PUNCT
cana-1457	139	1	while	while	SCONJ
cana-1457	139	2	disease	disease	NOUN
cana-1457	139	3	detection	detection	NOUN
cana-1457	139	4	using	use	VERB
cana-1457	139	5	computer	computer	NOUN
cana-1457	139	6	vision	vision	NOUN
cana-1457	139	7	models	model	NOUN
cana-1457	139	8	has	have	AUX
cana-1457	139	9	been	be	AUX
cana-1457	139	10	well	well	ADV
cana-1457	139	11	-	-	PUNCT
cana-1457	139	12	researched	research	VERB
cana-1457	139	13	,	,	PUNCT
cana-1457	139	14	its	its	PRON
cana-1457	139	15	potential	potential	ADJ
cana-1457	139	16	application	application	NOUN
cana-1457	139	17	in	in	ADP
cana-1457	139	18	withering	wither	VERB
cana-1457	139	19	monitoring	monitoring	NOUN
cana-1457	139	20	remains	remain	VERB
cana-1457	139	21	relatively	relatively	ADV
cana-1457	139	22	underexplored	underexplored	ADJ
cana-1457	139	23	.	.	PUNCT
cana-1457	140	1	these	these	DET
cana-1457	140	2	image	image	NOUN
cana-1457	140	3	-	-	PUNCT
cana-1457	140	4	based	base	VERB
cana-1457	140	5	models	model	NOUN
cana-1457	140	6	like	like	ADP
cana-1457	140	7	cnn	cnn	PROPN
cana-1457	140	8	,	,	PUNCT
cana-1457	140	9	densenet	densenet	NOUN
cana-1457	140	10	,	,	PUNCT
cana-1457	140	11	and	and	CCONJ
cana-1457	140	12	yolo	yolo	PROPN
cana-1457	140	13	have	have	AUX
cana-1457	140	14	been	be	AUX
cana-1457	140	15	effective	effective	ADJ
cana-1457	140	16	in	in	ADP
cana-1457	140	17	real	real	ADJ
cana-1457	140	18	-	-	PUNCT
cana-1457	140	19	time	time	NOUN
cana-1457	140	20	monitoring	monitoring	NOUN
cana-1457	140	21	of	of	ADP
cana-1457	140	22	crop	crop	NOUN
cana-1457	140	23	conditions	condition	NOUN
cana-1457	140	24	,	,	PUNCT
cana-1457	140	25	but	but	CCONJ
cana-1457	140	26	their	their	PRON
cana-1457	140	27	adaptation	adaptation	NOUN
cana-1457	140	28	for	for	ADP
cana-1457	140	29	moisture	moisture	NOUN
cana-1457	140	30	control	control	NOUN
cana-1457	140	31	during	during	ADP
cana-1457	140	32	the	the	DET
cana-1457	140	33	withering	wither	VERB
cana-1457	140	34	process	process	NOUN
cana-1457	140	35	is	be	AUX
cana-1457	140	36	still	still	ADV
cana-1457	140	37	in	in	ADP
cana-1457	140	38	development[12	development[12	NOUN
cana-1457	140	39	]	]	PUNCT
cana-1457	140	40	.	.	PUNCT
cana-1457	141	1	in	in	ADP
cana-1457	141	2	the	the	DET
cana-1457	141	3	realm	realm	NOUN
cana-1457	141	4	of	of	ADP
cana-1457	141	5	deep	deep	ADJ
cana-1457	141	6	learning	learning	NOUN
cana-1457	141	7	,	,	PUNCT
cana-1457	141	8	the	the	DET
cana-1457	141	9	use	use	NOUN
cana-1457	141	10	of	of	ADP
cana-1457	141	11	long	long	ADJ
cana-1457	141	12	short	short	ADJ
cana-1457	141	13	-	-	PUNCT
cana-1457	141	14	term	term	NOUN
cana-1457	141	15	memory	memory	NOUN
cana-1457	141	16	(	(	PUNCT
cana-1457	141	17	lstm	lstm	NOUN
cana-1457	141	18	)	)	PUNCT
cana-1457	141	19	networks	network	NOUN
cana-1457	141	20	has	have	AUX
cana-1457	141	21	been	be	AUX
cana-1457	141	22	explored	explore	VERB
cana-1457	141	23	to	to	PART
cana-1457	141	24	analyze	analyze	VERB
cana-1457	141	25	sensor	sensor	NOUN
cana-1457	141	26	data	datum	NOUN
cana-1457	141	27	over	over	ADP
cana-1457	141	28	time	time	NOUN
cana-1457	141	29	,	,	PUNCT
cana-1457	141	30	enabling	enable	VERB
cana-1457	141	31	real	real	ADJ
cana-1457	141	32	-	-	PUNCT
cana-1457	141	33	time	time	NOUN
cana-1457	141	34	adjustments	adjustment	NOUN
cana-1457	141	35	in	in	ADP
cana-1457	141	36	the	the	DET
cana-1457	141	37	tea	tea	NOUN
cana-1457	141	38	withering	wither	VERB
cana-1457	141	39	process	process	NOUN
cana-1457	141	40	.	.	PUNCT
cana-1457	142	1	lstm	lstm	NOUN
cana-1457	142	2	models	model	NOUN
cana-1457	142	3	are	be	AUX
cana-1457	142	4	well	well	ADV
cana-1457	142	5	-	-	PUNCT
cana-1457	142	6	suited	suit	VERB
cana-1457	142	7	for	for	ADP
cana-1457	142	8	handling	handle	VERB
cana-1457	142	9	time	time	NOUN
cana-1457	142	10	-	-	PUNCT
cana-1457	142	11	series	series	NOUN
cana-1457	142	12	data	datum	NOUN
cana-1457	142	13	,	,	PUNCT
cana-1457	142	14	which	which	PRON
cana-1457	142	15	is	be	AUX
cana-1457	142	16	crucial	crucial	ADJ
cana-1457	142	17	for	for	ADP
cana-1457	142	18	monitoring	monitor	VERB
cana-1457	142	19	temperature	temperature	NOUN
cana-1457	142	20	,	,	PUNCT
cana-1457	142	21	humidity	humidity	NOUN
cana-1457	142	22	,	,	PUNCT
cana-1457	142	23	and	and	CCONJ
cana-1457	142	24	moisture	moisture	NOUN
cana-1457	142	25	over	over	ADP
cana-1457	142	26	the	the	DET
cana-1457	142	27	withering	withering	ADJ
cana-1457	142	28	period[12][13	period[12][13	PROPN
cana-1457	142	29	]	]	PUNCT
cana-1457	142	30	.	.	PUNCT
cana-1457	143	1	the	the	DET
cana-1457	143	2	integration	integration	NOUN
cana-1457	143	3	of	of	ADP
cana-1457	143	4	iot	iot	PROPN
cana-1457	143	5	devices	device	NOUN
cana-1457	143	6	with	with	ADP
cana-1457	143	7	machine	machine	NOUN
cana-1457	143	8	learning	learn	VERB
cana-1457	143	9	algorithms	algorithm	NOUN
cana-1457	143	10	such	such	ADJ
cana-1457	143	11	as	as	ADP
cana-1457	143	12	cnn	cnn	PROPN
cana-1457	143	13	and	and	CCONJ
cana-1457	143	14	hybrid	hybrid	NOUN
cana-1457	143	15	models	model	NOUN
cana-1457	143	16	has	have	AUX
cana-1457	143	17	shown	show	VERB
cana-1457	143	18	potential	potential	NOUN
cana-1457	143	19	in	in	ADP
cana-1457	143	20	both	both	PRON
cana-1457	143	21	quality	quality	NOUN
cana-1457	143	22	control	control	NOUN
cana-1457	143	23	and	and	CCONJ
cana-1457	143	24	disease	disease	NOUN
cana-1457	143	25	detection	detection	NOUN
cana-1457	143	26	in	in	ADP
cana-1457	143	27	tea	tea	NOUN
cana-1457	143	28	processing	processing	NOUN
cana-1457	143	29	.	.	PUNCT
cana-1457	144	1	however	however	ADV
cana-1457	144	2	,	,	PUNCT
cana-1457	144	3	there	there	PRON
cana-1457	144	4	are	be	VERB
cana-1457	144	5	still	still	ADV
cana-1457	144	6	several	several	ADJ
cana-1457	144	7	drawbacks	drawback	NOUN
cana-1457	144	8	and	and	CCONJ
cana-1457	144	9	challenges	challenge	NOUN
cana-1457	144	10	associated	associate	VERB
cana-1457	144	11	with	with	ADP
cana-1457	144	12	these	these	DET
cana-1457	144	13	systems	system	NOUN
cana-1457	144	14	.	.	PUNCT
cana-1457	145	1	most	most	ADJ
cana-1457	145	2	of	of	ADP
cana-1457	145	3	the	the	DET
cana-1457	145	4	existing	exist	VERB
cana-1457	145	5	research	research	NOUN
cana-1457	145	6	has	have	AUX
cana-1457	145	7	focused	focus	VERB
cana-1457	145	8	on	on	ADP
cana-1457	145	9	specific	specific	ADJ
cana-1457	145	10	tea	tea	NOUN
cana-1457	145	11	varieties	variety	NOUN
cana-1457	145	12	or	or	CCONJ
cana-1457	145	13	environmental	environmental	ADJ
cana-1457	145	14	conditions	condition	NOUN
cana-1457	145	15	,	,	PUNCT
cana-1457	145	16	which	which	PRON
cana-1457	145	17	can	can	AUX
cana-1457	145	18	limit	limit	VERB
cana-1457	145	19	the	the	DET
cana-1457	145	20	generalizability	generalizability	NOUN
cana-1457	145	21	of	of	ADP
cana-1457	145	22	the	the	DET
cana-1457	145	23	results	result	NOUN
cana-1457	145	24	across	across	ADP
cana-1457	145	25	different	different	ADJ
cana-1457	145	26	regions	region	NOUN
cana-1457	145	27	or	or	CCONJ
cana-1457	145	28	tea	tea	NOUN
cana-1457	145	29	types[12][13	types[12][13	PROPN
cana-1457	145	30	]	]	PUNCT
cana-1457	145	31	.	.	PUNCT
cana-1457	146	1	furthermore	furthermore	ADV
cana-1457	146	2	,	,	PUNCT
cana-1457	146	3	while	while	SCONJ
cana-1457	146	4	the	the	DET
cana-1457	146	5	models	model	NOUN
cana-1457	146	6	achieve	achieve	VERB
cana-1457	146	7	high	high	ADJ
cana-1457	146	8	accuracy	accuracy	NOUN
cana-1457	146	9	in	in	ADP
cana-1457	146	10	controlled	control	VERB
cana-1457	146	11	environments	environment	NOUN
cana-1457	146	12	,	,	PUNCT
cana-1457	146	13	their	their	PRON
cana-1457	146	14	real	real	ADJ
cana-1457	146	15	-	-	PUNCT
cana-1457	146	16	world	world	NOUN
cana-1457	146	17	applicability	applicability	NOUN
cana-1457	146	18	is	be	AUX
cana-1457	146	19	limited	limit	VERB
cana-1457	146	20	due	due	ADP
cana-1457	146	21	to	to	ADP
cana-1457	146	22	variations	variation	NOUN
cana-1457	146	23	in	in	ADP
cana-1457	146	24	environmental	environmental	ADJ
cana-1457	146	25	factors	factor	NOUN
cana-1457	146	26	like	like	ADP
cana-1457	146	27	humidity	humidity	NOUN
cana-1457	146	28	and	and	CCONJ
cana-1457	146	29	temperature	temperature	NOUN
cana-1457	146	30	,	,	PUNCT
cana-1457	146	31	which	which	PRON
cana-1457	146	32	can	can	AUX
cana-1457	146	33	introduce	introduce	VERB
cana-1457	146	34	noise	noise	NOUN
cana-1457	146	35	into	into	ADP
cana-1457	146	36	the	the	DET
cana-1457	146	37	sensor	sensor	NOUN
cana-1457	146	38	data[12	data[12	PROPN
cana-1457	146	39	]	]	PUNCT
cana-1457	146	40	.	.	PUNCT
cana-1457	147	1	additionally	additionally	ADV
cana-1457	147	2	,	,	PUNCT
cana-1457	147	3	implementing	implement	VERB
cana-1457	147	4	these	these	DET
cana-1457	147	5	iot	iot	NOUN
cana-1457	147	6	and	and	CCONJ
cana-1457	147	7	ml	ml	NOUN
cana-1457	147	8	-	-	PUNCT
cana-1457	147	9	based	base	VERB
cana-1457	147	10	systems	system	NOUN
cana-1457	147	11	at	at	ADP
cana-1457	147	12	scale	scale	NOUN
cana-1457	147	13	requires	require	VERB
cana-1457	147	14	significant	significant	ADJ
cana-1457	147	15	computational	computational	ADJ
cana-1457	147	16	resources	resource	NOUN
cana-1457	147	17	,	,	PUNCT
cana-1457	147	18	particularly	particularly	ADV
cana-1457	147	19	for	for	ADP
cana-1457	147	20	small	small	ADJ
cana-1457	147	21	-	-	PUNCT
cana-1457	147	22	scale	scale	NOUN
cana-1457	147	23	tea	tea	NOUN
cana-1457	147	24	producers	producer	NOUN
cana-1457	147	25	.	.	PUNCT
cana-1457	148	1	the	the	DET
cana-1457	148	2	models	model	NOUN
cana-1457	148	3	often	often	ADV
cana-1457	148	4	rely	rely	VERB
cana-1457	148	5	on	on	ADP
cana-1457	148	6	complex	complex	ADJ
cana-1457	148	7	preprocessing	preprocessing	NOUN
cana-1457	148	8	and	and	CCONJ
cana-1457	148	9	optimization	optimization	NOUN
cana-1457	148	10	techniques	technique	NOUN
cana-1457	148	11	,	,	PUNCT
cana-1457	148	12	which	which	PRON
cana-1457	148	13	can	can	AUX
cana-1457	148	14	be	be	AUX
cana-1457	148	15	computationally	computationally	ADV
cana-1457	148	16	expensive	expensive	ADJ
cana-1457	148	17	and	and	CCONJ
cana-1457	148	18	may	may	AUX
cana-1457	148	19	not	not	PART
cana-1457	148	20	be	be	AUX
cana-1457	148	21	feasible	feasible	ADJ
cana-1457	148	22	for	for	ADP
cana-1457	148	23	widespread	widespread	ADJ
cana-1457	148	24	adoption	adoption	NOUN
cana-1457	148	25	in	in	ADP
cana-1457	148	26	tea	tea	NOUN
cana-1457	148	27	farms	farm	NOUN
cana-1457	148	28	that	that	PRON
cana-1457	148	29	lack	lack	VERB
cana-1457	148	30	access	access	NOUN
cana-1457	148	31	to	to	ADP
cana-1457	148	32	advanced	advanced	ADJ
cana-1457	148	33	infrastructure[11][12	infrastructure[11][12	PROPN
cana-1457	148	34	]	]	PUNCT
cana-1457	148	35	.	.	PUNCT
cana-1457	149	1	furthermore	furthermore	ADV
cana-1457	149	2	,	,	PUNCT
cana-1457	149	3	while	while	SCONJ
cana-1457	149	4	much	much	ADJ
cana-1457	149	5	research	research	NOUN
cana-1457	149	6	has	have	AUX
cana-1457	149	7	been	be	AUX
cana-1457	149	8	conducted	conduct	VERB
cana-1457	149	9	on	on	ADP
cana-1457	149	10	disease	disease	NOUN
cana-1457	149	11	detection	detection	NOUN
cana-1457	149	12	in	in	ADP
cana-1457	149	13	tea	tea	NOUN
cana-1457	149	14	leaves	leave	NOUN
cana-1457	149	15	using	use	VERB
cana-1457	149	16	machine	machine	NOUN
cana-1457	149	17	learning	learning	NOUN
cana-1457	149	18	models	model	NOUN
cana-1457	149	19	such	such	ADJ
cana-1457	149	20	as	as	ADP
cana-1457	149	21	vision	vision	NOUN
cana-1457	149	22	transformers	transformer	NOUN
cana-1457	149	23	(	(	PUNCT
cana-1457	149	24	vits	vit	NOUN
cana-1457	149	25	)	)	PUNCT
cana-1457	149	26	,	,	PUNCT
cana-1457	149	27	the	the	DET
cana-1457	149	28	extension	extension	NOUN
cana-1457	149	29	of	of	ADP
cana-1457	149	30	these	these	DET
cana-1457	149	31	models	model	NOUN
cana-1457	149	32	to	to	PART
cana-1457	149	33	moisture	moisture	VERB
cana-1457	149	34	and	and	CCONJ
cana-1457	149	35	environmental	environmental	ADJ
cana-1457	149	36	monitoring	monitoring	NOUN
cana-1457	149	37	remains	remain	VERB
cana-1457	149	38	limited[13][12	limited[13][12	PROPN
cana-1457	149	39	]	]	PUNCT
cana-1457	149	40	.	.	PUNCT
cana-1457	150	1	the	the	DET
cana-1457	150	2	high	high	ADJ
cana-1457	150	3	accuracy	accuracy	NOUN
cana-1457	150	4	of	of	ADP
cana-1457	150	5	models	model	NOUN
cana-1457	150	6	like	like	ADP
cana-1457	150	7	yolo	yolo	NOUN
cana-1457	150	8	and	and	CCONJ
cana-1457	150	9	densenet	densenet	NOUN
cana-1457	150	10	in	in	ADP
cana-1457	150	11	detecting	detect	VERB
cana-1457	150	12	diseases	disease	NOUN
cana-1457	150	13	highlights	highlight	VERB
cana-1457	150	14	the	the	DET
cana-1457	150	15	potential	potential	NOUN
cana-1457	150	16	for	for	ADP
cana-1457	150	17	similar	similar	ADJ
cana-1457	150	18	applications	application	NOUN
cana-1457	150	19	in	in	ADP
cana-1457	150	20	moisture	moisture	NOUN
cana-1457	150	21	prediction	prediction	NOUN
cana-1457	150	22	,	,	PUNCT
cana-1457	150	23	but	but	CCONJ
cana-1457	150	24	further	further	ADJ
cana-1457	150	25	research	research	NOUN
cana-1457	150	26	is	be	AUX
cana-1457	150	27	needed	need	VERB
cana-1457	150	28	to	to	PART
cana-1457	150	29	bridge	bridge	VERB
cana-1457	150	30	this	this	DET
cana-1457	150	31	gap	gap	NOUN
cana-1457	150	32	.	.	PUNCT
cana-1457	151	1	wu	wu	PROPN
cana-1457	151	2	et	et	PROPN
cana-1457	151	3	al	al	PROPN
cana-1457	151	4	.	.	PROPN
cana-1457	152	1	(	(	PUNCT
cana-1457	152	2	2022	2022	NUM
cana-1457	152	3	)	)	PUNCT
cana-1457	152	4	investigated	investigate	VERB
cana-1457	152	5	the	the	DET
cana-1457	152	6	effects	effect	NOUN
cana-1457	152	7	of	of	ADP
cana-1457	152	8	various	various	ADJ
cana-1457	152	9	withering	wither	VERB
cana-1457	152	10	treatments	treatment	NOUN
cana-1457	152	11	on	on	ADP
cana-1457	152	12	the	the	DET
cana-1457	152	13	aroma	aroma	NOUN
cana-1457	152	14	of	of	ADP
cana-1457	152	15	white	white	ADJ
cana-1457	152	16	tea	tea	NOUN
cana-1457	152	17	,	,	PUNCT
cana-1457	152	18	demonstrating	demonstrate	VERB
cana-1457	152	19	how	how	SCONJ
cana-1457	152	20	environmental	environmental	ADJ
cana-1457	152	21	conditions	condition	NOUN
cana-1457	152	22	during	during	ADP
cana-1457	152	23	withering	wither	VERB
cana-1457	152	24	affect	affect	VERB
cana-1457	152	25	aroma	aroma	NOUN
cana-1457	152	26	profiles	profile	NOUN
cana-1457	152	27	by	by	ADP
cana-1457	152	28	altering	alter	VERB
cana-1457	152	29	volatile	volatile	ADJ
cana-1457	152	30	compounds	compound	NOUN
cana-1457	152	31	like	like	ADP
cana-1457	152	32	linalool	linalool	NOUN
cana-1457	152	33	and	and	CCONJ
cana-1457	152	34	hexanal[14	hexanal[14	PROPN
cana-1457	152	35	]	]	PUNCT
cana-1457	152	36	.	.	PUNCT
cana-1457	153	1	however	however	ADV
cana-1457	153	2	,	,	PUNCT
cana-1457	153	3	their	their	PRON
cana-1457	153	4	study	study	NOUN
cana-1457	153	5	did	do	AUX
cana-1457	153	6	not	not	PART
cana-1457	153	7	explore	explore	VERB
cana-1457	153	8	the	the	DET
cana-1457	153	9	potential	potential	NOUN
cana-1457	153	10	of	of	ADP
cana-1457	153	11	real	real	ADJ
cana-1457	153	12	-	-	PUNCT
cana-1457	153	13	time	time	NOUN
cana-1457	153	14	monitoring	monitoring	NOUN
cana-1457	153	15	or	or	CCONJ
cana-1457	153	16	iot	iot	NOUN
cana-1457	153	17	-	-	PUNCT
cana-1457	153	18	based	base	VERB
cana-1457	153	19	solutions	solution	NOUN
cana-1457	153	20	,	,	PUNCT
cana-1457	153	21	leaving	leave	VERB
cana-1457	153	22	a	a	DET
cana-1457	153	23	gap	gap	NOUN
cana-1457	153	24	in	in	ADP
cana-1457	153	25	the	the	DET
cana-1457	153	26	continuous	continuous	ADJ
cana-1457	153	27	observation	observation	NOUN
cana-1457	153	28	and	and	CCONJ
cana-1457	153	29	control	control	NOUN
cana-1457	153	30	of	of	ADP
cana-1457	153	31	withering	wither	VERB
cana-1457	153	32	parameters	parameter	NOUN
cana-1457	153	33	.	.	PUNCT
cana-1457	154	1	in	in	ADP
cana-1457	154	2	contrast	contrast	NOUN
cana-1457	154	3	,	,	PUNCT
cana-1457	154	4	zou	zou	PROPN
cana-1457	154	5	et	et	PROPN
cana-1457	154	6	al	al	PROPN
cana-1457	154	7	.	.	PROPN
cana-1457	154	8	(	(	PUNCT
cana-1457	154	9	2022	2022	NUM
cana-1457	154	10	)	)	PUNCT
cana-1457	154	11	developed	develop	VERB
cana-1457	154	12	an	an	DET
cana-1457	154	13	iot	iot	NOUN
cana-1457	154	14	-	-	PUNCT
cana-1457	154	15	based	base	VERB
cana-1457	154	16	system	system	NOUN
cana-1457	154	17	utilizing	utilize	VERB
cana-1457	154	18	near	near	ADV
cana-1457	154	19	-	-	PUNCT
cana-1457	154	20	infrared	infrared	ADJ
cana-1457	154	21	spectroscopy	spectroscopy	NOUN
cana-1457	154	22	(	(	PUNCT
cana-1457	154	23	nirs	nirs	PROPN
cana-1457	154	24	)	)	PUNCT
cana-1457	154	25	combined	combine	VERB
cana-1457	154	26	with	with	ADP
cana-1457	154	27	support	support	NOUN
cana-1457	154	28	vector	vector	NOUN
cana-1457	154	29	regression	regression	NOUN
cana-1457	154	30	(	(	PUNCT
cana-1457	154	31	svr	svr	PROPN
cana-1457	154	32	)	)	PUNCT
cana-1457	154	33	to	to	PART
cana-1457	154	34	predict	predict	VERB
cana-1457	154	35	moisture	moisture	NOUN
cana-1457	154	36	levels	level	NOUN
cana-1457	154	37	in	in	ADP
cana-1457	154	38	tea	tea	NOUN
cana-1457	154	39	leaves	leave	NOUN
cana-1457	154	40	during	during	ADP
cana-1457	154	41	withering	wither	VERB
cana-1457	154	42	.	.	PUNCT
cana-1457	155	1	their	their	PRON
cana-1457	155	2	work	work	NOUN
cana-1457	155	3	showed	show	VERB
cana-1457	155	4	that	that	SCONJ
cana-1457	155	5	integrating	integrate	VERB
cana-1457	155	6	iot	iot	NOUN
cana-1457	155	7	with	with	ADP
cana-1457	155	8	machine	machine	NOUN
cana-1457	155	9	learning	learning	NOUN
cana-1457	155	10	can	can	AUX
cana-1457	155	11	enhance	enhance	VERB
cana-1457	155	12	the	the	DET
cana-1457	155	13	communications	communication	NOUN
cana-1457	155	14	on	on	ADP
cana-1457	155	15	applied	apply	VERB
cana-1457	155	16	nonlinear	nonlinear	ADJ
cana-1457	155	17	analysis	analysis	NOUN
cana-1457	155	18	issn	issn	NOUN
cana-1457	155	19	:	:	PUNCT
cana-1457	155	20	1074	1074	NUM
cana-1457	155	21	-	-	PUNCT
cana-1457	155	22	133x	133x	NUM
cana-1457	155	23	vol	vol	NOUN
cana-1457	155	24	31	31	NUM
cana-1457	155	25	no	no	NOUN
cana-1457	155	26	.	.	PUNCT
cana-1457	156	1	8s	8s	PROPN
cana-1457	156	2	(	(	PUNCT
cana-1457	156	3	2024	2024	NUM
cana-1457	156	4	)	)	PUNCT
cana-1457	156	5	63	63	NUM
cana-1457	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	156	7	accuracy	accuracy	NOUN
cana-1457	156	8	of	of	ADP
cana-1457	156	9	moisture	moisture	NOUN
cana-1457	156	10	prediction	prediction	NOUN
cana-1457	156	11	,	,	PUNCT
cana-1457	156	12	a	a	DET
cana-1457	156	13	critical	critical	ADJ
cana-1457	156	14	factor	factor	NOUN
cana-1457	156	15	in	in	ADP
cana-1457	156	16	determining	determine	VERB
cana-1457	156	17	tea	tea	NOUN
cana-1457	156	18	quality(9	quality(9	NOUN
cana-1457	156	19	)	)	PUNCT
cana-1457	156	20	.	.	PUNCT
cana-1457	157	1	other	other	ADJ
cana-1457	157	2	similar	similar	ADJ
cana-1457	157	3	efforts	effort	NOUN
cana-1457	157	4	,	,	PUNCT
cana-1457	157	5	such	such	ADJ
cana-1457	157	6	as	as	ADP
cana-1457	157	7	those	those	PRON
cana-1457	157	8	by	by	ADP
cana-1457	157	9	faruk	faruk	PROPN
cana-1457	157	10	ahmed	ahmed	PROPN
cana-1457	157	11	and	and	CCONJ
cana-1457	157	12	colleagues	colleague	NOUN
cana-1457	157	13	(	(	PUNCT
cana-1457	157	14	2023	2023	NUM
cana-1457	157	15	)	)	PUNCT
cana-1457	157	16	,	,	PUNCT
cana-1457	157	17	reviewed	review	VERB
cana-1457	157	18	machine	machine	NOUN
cana-1457	157	19	learning	learning	NOUN
cana-1457	157	20	methods	method	NOUN
cana-1457	157	21	in	in	ADP
cana-1457	157	22	tea	tea	NOUN
cana-1457	157	23	disease	disease	NOUN
cana-1457	157	24	detection	detection	NOUN
cana-1457	157	25	but	but	CCONJ
cana-1457	157	26	did	do	AUX
cana-1457	157	27	not	not	PART
cana-1457	157	28	extend	extend	VERB
cana-1457	157	29	these	these	DET
cana-1457	157	30	insights	insight	NOUN
cana-1457	157	31	to	to	ADP
cana-1457	157	32	the	the	DET
cana-1457	157	33	withering	wither	VERB
cana-1457	157	34	stage[12	stage[12	NOUN
cana-1457	157	35	]	]	PUNCT
cana-1457	157	36	.	.	PUNCT
cana-1457	158	1	additionally	additionally	ADV
cana-1457	158	2	,	,	PUNCT
cana-1457	158	3	the	the	DET
cana-1457	158	4	application	application	NOUN
cana-1457	158	5	of	of	ADP
cana-1457	158	6	time	time	NOUN
cana-1457	158	7	-	-	PUNCT
cana-1457	158	8	series	series	NOUN
cana-1457	158	9	models	model	NOUN
cana-1457	158	10	like	like	ADP
cana-1457	158	11	long	long	ADJ
cana-1457	158	12	short	short	ADJ
cana-1457	158	13	-	-	PUNCT
cana-1457	158	14	term	term	NOUN
cana-1457	158	15	memory	memory	NOUN
cana-1457	158	16	(	(	PUNCT
cana-1457	158	17	lstm	lstm	NOUN
cana-1457	158	18	)	)	PUNCT
cana-1457	158	19	networks	network	NOUN
cana-1457	158	20	has	have	AUX
cana-1457	158	21	proven	prove	VERB
cana-1457	158	22	effective	effective	ADJ
cana-1457	158	23	in	in	ADP
cana-1457	158	24	handling	handle	VERB
cana-1457	158	25	complex	complex	ADJ
cana-1457	158	26	sensor	sensor	NOUN
cana-1457	158	27	data	datum	NOUN
cana-1457	158	28	over	over	ADP
cana-1457	158	29	time	time	NOUN
cana-1457	158	30	.	.	PUNCT
cana-1457	159	1	these	these	DET
cana-1457	159	2	models	model	NOUN
cana-1457	159	3	are	be	AUX
cana-1457	159	4	particularly	particularly	ADV
cana-1457	159	5	relevant	relevant	ADJ
cana-1457	159	6	in	in	ADP
cana-1457	159	7	predicting	predict	VERB
cana-1457	159	8	the	the	DET
cana-1457	159	9	dynamic	dynamic	ADJ
cana-1457	159	10	changes	change	NOUN
cana-1457	159	11	in	in	ADP
cana-1457	159	12	moisture	moisture	NOUN
cana-1457	159	13	and	and	CCONJ
cana-1457	159	14	temperature	temperature	NOUN
cana-1457	159	15	during	during	ADP
cana-1457	159	16	tea	tea	NOUN
cana-1457	159	17	withering[12][15	withering[12][15	PROPN
cana-1457	159	18	]	]	PUNCT
cana-1457	159	19	.	.	PUNCT
cana-1457	160	1	the	the	DET
cana-1457	160	2	use	use	NOUN
cana-1457	160	3	of	of	ADP
cana-1457	160	4	deep	deep	ADJ
cana-1457	160	5	learning	learning	NOUN
cana-1457	160	6	models	model	NOUN
cana-1457	160	7	has	have	AUX
cana-1457	160	8	enabled	enable	VERB
cana-1457	160	9	greater	great	ADJ
cana-1457	160	10	accuracy	accuracy	NOUN
cana-1457	160	11	and	and	CCONJ
cana-1457	160	12	consistency	consistency	NOUN
cana-1457	160	13	in	in	ADP
cana-1457	160	14	real	real	ADJ
cana-1457	160	15	-	-	PUNCT
cana-1457	160	16	time	time	NOUN
cana-1457	160	17	monitoring	monitoring	NOUN
cana-1457	160	18	systems	system	NOUN
cana-1457	160	19	,	,	PUNCT
cana-1457	160	20	which	which	PRON
cana-1457	160	21	is	be	AUX
cana-1457	160	22	essential	essential	ADJ
cana-1457	160	23	for	for	ADP
cana-1457	160	24	maintaining	maintain	VERB
cana-1457	160	25	tea	tea	NOUN
cana-1457	160	26	quality	quality	NOUN
cana-1457	160	27	throughout	throughout	ADP
cana-1457	160	28	the	the	DET
cana-1457	160	29	processing	processing	NOUN
cana-1457	160	30	stages	stage	NOUN
cana-1457	160	31	.	.	PUNCT
cana-1457	161	1	however	however	ADV
cana-1457	161	2	,	,	PUNCT
cana-1457	161	3	while	while	SCONJ
cana-1457	161	4	these	these	DET
cana-1457	161	5	advancements	advancement	NOUN
cana-1457	161	6	are	be	AUX
cana-1457	161	7	promising	promise	VERB
cana-1457	161	8	,	,	PUNCT
cana-1457	161	9	several	several	ADJ
cana-1457	161	10	challenges	challenge	NOUN
cana-1457	161	11	remain	remain	VERB
cana-1457	161	12	.	.	PUNCT
cana-1457	162	1	most	most	ADJ
cana-1457	162	2	existing	exist	VERB
cana-1457	162	3	models	model	NOUN
cana-1457	162	4	focus	focus	VERB
cana-1457	162	5	on	on	ADP
cana-1457	162	6	specific	specific	ADJ
cana-1457	162	7	varieties	variety	NOUN
cana-1457	162	8	of	of	ADP
cana-1457	162	9	tea	tea	NOUN
cana-1457	162	10	or	or	CCONJ
cana-1457	162	11	operate	operate	VERB
cana-1457	162	12	under	under	ADP
cana-1457	162	13	controlled	control	VERB
cana-1457	162	14	conditions	condition	NOUN
cana-1457	162	15	,	,	PUNCT
cana-1457	162	16	limiting	limit	VERB
cana-1457	162	17	their	their	PRON
cana-1457	162	18	generalizability	generalizability	NOUN
cana-1457	162	19	across	across	ADP
cana-1457	162	20	diverse	diverse	ADJ
cana-1457	162	21	environmental	environmental	ADJ
cana-1457	162	22	settings[12	settings[12	NOUN
cana-1457	162	23	]	]	PUNCT
cana-1457	162	24	.	.	PUNCT
cana-1457	163	1	moreover	moreover	ADV
cana-1457	163	2	,	,	PUNCT
cana-1457	163	3	the	the	DET
cana-1457	163	4	reliance	reliance	NOUN
cana-1457	163	5	on	on	ADP
cana-1457	163	6	data	datum	NOUN
cana-1457	163	7	-	-	PUNCT
cana-1457	163	8	intensive	intensive	ADJ
cana-1457	163	9	machine	machine	NOUN
cana-1457	163	10	learning	learning	NOUN
cana-1457	163	11	models	model	NOUN
cana-1457	163	12	can	can	AUX
cana-1457	163	13	pose	pose	VERB
cana-1457	163	14	scalability	scalability	NOUN
cana-1457	163	15	issues	issue	NOUN
cana-1457	163	16	,	,	PUNCT
cana-1457	163	17	especially	especially	ADV
cana-1457	163	18	for	for	ADP
cana-1457	163	19	small	small	ADJ
cana-1457	163	20	-	-	PUNCT
cana-1457	163	21	scale	scale	NOUN
cana-1457	163	22	tea	tea	NOUN
cana-1457	163	23	producers	producer	NOUN
cana-1457	163	24	who	who	PRON
cana-1457	163	25	may	may	AUX
cana-1457	163	26	lack	lack	VERB
cana-1457	163	27	the	the	DET
cana-1457	163	28	infrastructure	infrastructure	NOUN
cana-1457	163	29	needed	need	VERB
cana-1457	163	30	to	to	PART
cana-1457	163	31	implement	implement	VERB
cana-1457	163	32	these	these	DET
cana-1457	163	33	systems	system	NOUN
cana-1457	163	34	efficiently[12	efficiently[12	NOUN
cana-1457	163	35	]	]	X
cana-1457	163	36	.	.	PUNCT
cana-1457	164	1	another	another	DET
cana-1457	164	2	key	key	ADJ
cana-1457	164	3	limitation	limitation	NOUN
cana-1457	164	4	is	be	AUX
cana-1457	164	5	the	the	DET
cana-1457	164	6	noise	noise	NOUN
cana-1457	164	7	introduced	introduce	VERB
cana-1457	164	8	by	by	ADP
cana-1457	164	9	fluctuating	fluctuate	VERB
cana-1457	164	10	environmental	environmental	ADJ
cana-1457	164	11	factors	factor	NOUN
cana-1457	164	12	such	such	ADJ
cana-1457	164	13	as	as	ADP
cana-1457	164	14	temperature	temperature	NOUN
cana-1457	164	15	and	and	CCONJ
cana-1457	164	16	humidity	humidity	NOUN
cana-1457	164	17	.	.	PUNCT
cana-1457	165	1	these	these	DET
cana-1457	165	2	fluctuations	fluctuation	NOUN
cana-1457	165	3	can	can	AUX
cana-1457	165	4	reduce	reduce	VERB
cana-1457	165	5	the	the	DET
cana-1457	165	6	accuracy	accuracy	NOUN
cana-1457	165	7	of	of	ADP
cana-1457	165	8	real	real	ADJ
cana-1457	165	9	-	-	PUNCT
cana-1457	165	10	time	time	NOUN
cana-1457	165	11	predictions	prediction	NOUN
cana-1457	165	12	,	,	PUNCT
cana-1457	165	13	necessitating	necessitate	VERB
cana-1457	165	14	the	the	DET
cana-1457	165	15	development	development	NOUN
cana-1457	165	16	of	of	ADP
cana-1457	165	17	more	more	ADV
cana-1457	165	18	robust	robust	ADJ
cana-1457	165	19	pre	pre	ADJ
cana-1457	165	20	-	-	ADJ
cana-1457	165	21	processing	processing	ADJ
cana-1457	165	22	methods	method	NOUN
cana-1457	165	23	to	to	PART
cana-1457	165	24	filter	filter	VERB
cana-1457	165	25	out	out	ADP
cana-1457	165	26	irrelevant	irrelevant	ADJ
cana-1457	165	27	data[15][14	data[15][14	PROPN
cana-1457	165	28	]	]	PUNCT
cana-1457	165	29	.	.	PUNCT
cana-1457	166	1	furthermore	furthermore	ADV
cana-1457	166	2	,	,	PUNCT
cana-1457	166	3	many	many	ADJ
cana-1457	166	4	of	of	ADP
cana-1457	166	5	the	the	DET
cana-1457	166	6	existing	exist	VERB
cana-1457	166	7	systems	system	NOUN
cana-1457	166	8	focus	focus	VERB
cana-1457	166	9	on	on	ADP
cana-1457	166	10	specific	specific	ADJ
cana-1457	166	11	quality	quality	NOUN
cana-1457	166	12	parameters	parameter	NOUN
cana-1457	166	13	,	,	PUNCT
cana-1457	166	14	such	such	ADJ
cana-1457	166	15	as	as	ADP
cana-1457	166	16	aroma	aroma	NOUN
cana-1457	166	17	or	or	CCONJ
cana-1457	166	18	moisture	moisture	NOUN
cana-1457	166	19	,	,	PUNCT
cana-1457	166	20	without	without	ADP
cana-1457	166	21	providing	provide	VERB
cana-1457	166	22	a	a	DET
cana-1457	166	23	comprehensive	comprehensive	ADJ
cana-1457	166	24	solution	solution	NOUN
cana-1457	166	25	that	that	PRON
cana-1457	166	26	integrates	integrate	VERB
cana-1457	166	27	all	all	DET
cana-1457	166	28	the	the	DET
cana-1457	166	29	critical	critical	ADJ
cana-1457	166	30	factors	factor	NOUN
cana-1457	166	31	affecting	affect	VERB
cana-1457	166	32	tea	tea	NOUN
cana-1457	166	33	quality	quality	NOUN
cana-1457	166	34	.	.	PUNCT
cana-1457	167	1	despite	despite	SCONJ
cana-1457	167	2	these	these	DET
cana-1457	167	3	limitations	limitation	NOUN
cana-1457	167	4	,	,	PUNCT
cana-1457	167	5	the	the	DET
cana-1457	167	6	integration	integration	NOUN
cana-1457	167	7	of	of	ADP
cana-1457	167	8	iot	iot	NOUN
cana-1457	167	9	with	with	ADP
cana-1457	167	10	machine	machine	NOUN
cana-1457	167	11	learning	learning	NOUN
cana-1457	167	12	models	model	NOUN
cana-1457	167	13	offers	offer	VERB
cana-1457	167	14	significant	significant	ADJ
cana-1457	167	15	potential	potential	NOUN
cana-1457	167	16	to	to	PART
cana-1457	167	17	improve	improve	VERB
cana-1457	167	18	the	the	DET
cana-1457	167	19	withering	wither	VERB
cana-1457	167	20	stage	stage	NOUN
cana-1457	167	21	of	of	ADP
cana-1457	167	22	tea	tea	NOUN
cana-1457	167	23	processing[16	processing[16	NOUN
cana-1457	167	24	]	]	X
cana-1457	167	25	.	.	PUNCT
cana-1457	168	1	future	future	ADJ
cana-1457	168	2	research	research	NOUN
cana-1457	168	3	should	should	AUX
cana-1457	168	4	focus	focus	VERB
cana-1457	168	5	on	on	ADP
cana-1457	168	6	developing	develop	VERB
cana-1457	168	7	more	more	ADJ
cana-1457	168	8	adaptive	adaptive	ADJ
cana-1457	168	9	models	model	NOUN
cana-1457	168	10	capable	capable	ADJ
cana-1457	168	11	of	of	ADP
cana-1457	168	12	generalizing	generalize	VERB
cana-1457	168	13	across	across	ADP
cana-1457	168	14	different	different	ADJ
cana-1457	168	15	tea	tea	NOUN
cana-1457	168	16	varieties	variety	NOUN
cana-1457	168	17	and	and	CCONJ
cana-1457	168	18	environmental	environmental	ADJ
cana-1457	168	19	conditions	condition	NOUN
cana-1457	168	20	,	,	PUNCT
cana-1457	168	21	while	while	SCONJ
cana-1457	168	22	reducing	reduce	VERB
cana-1457	168	23	computational	computational	ADJ
cana-1457	168	24	complexity	complexity	NOUN
cana-1457	168	25	to	to	PART
cana-1457	168	26	make	make	VERB
cana-1457	168	27	the	the	DET
cana-1457	168	28	technology	technology	NOUN
cana-1457	168	29	more	more	ADV
cana-1457	168	30	accessible	accessible	ADJ
cana-1457	168	31	for	for	ADP
cana-1457	168	32	widespread	widespread	ADJ
cana-1457	168	33	adoption	adoption	NOUN
cana-1457	168	34	.	.	PUNCT
cana-1457	169	1	table1	table1	PROPN
cana-1457	169	2	:	:	PUNCT
cana-1457	169	3	review	review	NOUN
cana-1457	169	4	of	of	ADP
cana-1457	169	5	literature	literature	PROPN
cana-1457	169	6	paper	paper	NOUN
cana-1457	169	7	title	title	NOUN
cana-1457	169	8	authors	author	NOUN
cana-1457	169	9	technology	technology	NOUN
cana-1457	169	10	used	use	VERB
cana-1457	169	11	ml	ml	NOUN
cana-1457	169	12	models	model	NOUN
cana-1457	169	13	used	use	VERB
cana-1457	169	14	results	result	NOUN
cana-1457	169	15	smart	smart	ADJ
cana-1457	169	16	tea	tea	NOUN
cana-1457	169	17	:	:	PUNCT
cana-1457	169	18	churn	churn	NOUN
cana-1457	169	19	,	,	PUNCT
cana-1457	169	20	trend	trend	NOUN
cana-1457	169	21	,	,	PUNCT
cana-1457	169	22	inventory	inventory	NOUN
cana-1457	169	23	and	and	CCONJ
cana-1457	169	24	sales	sale	NOUN
cana-1457	169	25	prediction	prediction	NOUN
cana-1457	169	26	system	system	NOUN
cana-1457	169	27	using	use	VERB
cana-1457	169	28	machine	machine	NOUN
cana-1457	169	29	learning	learn	VERB
cana-1457	169	30	j.h.p	j.h.p	PROPN
cana-1457	169	31	vithanage	vithanage	NOUN
cana-1457	169	32	,	,	PUNCT
cana-1457	169	33	salwathura	salwathura	PROPN
cana-1457	169	34	s.r	s.r	PROPN
cana-1457	169	35	,	,	PUNCT
cana-1457	169	36	de	de	PROPN
cana-1457	169	37	silva	silva	PROPN
cana-1457	169	38	d.k.t.j.s	d.k.t.j.s	NOUN
cana-1457	169	39	,	,	PUNCT
cana-1457	169	40	wickramasinghe	wickramasinghe	NOUN
cana-1457	169	41	d.k.g.t.i	d.k.g.t.i	NOUN
cana-1457	169	42	,	,	PUNCT
cana-1457	169	43	suriya	suriya	PROPN
cana-1457	169	44	kumari	kumari	PROPN
cana-1457	169	45	,	,	PUNCT
cana-1457	169	46	uthpala	uthpala	PROPN
cana-1457	169	47	samarakoon	samarakoon	PROPN
cana-1457	169	48	neural	neural	ADJ
cana-1457	169	49	networks	network	NOUN
cana-1457	169	50	,	,	PUNCT
cana-1457	169	51	gradient	gradient	NOUN
cana-1457	169	52	boosting	boosting	NOUN
cana-1457	169	53	,	,	PUNCT
cana-1457	169	54	linear	linear	ADJ
cana-1457	169	55	regression	regression	NOUN
cana-1457	169	56	,	,	PUNCT
cana-1457	169	57	iot	iot	PROPN
cana-1457	169	58	gradient	gradient	NOUN
cana-1457	169	59	boosting	boosting	NOUN
cana-1457	169	60	,	,	PUNCT
cana-1457	169	61	random	random	ADJ
cana-1457	169	62	forest	forest	NOUN
cana-1457	169	63	,	,	PUNCT
cana-1457	169	64	xgboost	xgboost	ADV
cana-1457	169	65	,	,	PUNCT
cana-1457	169	66	neural	neural	ADJ
cana-1457	169	67	networks	network	NOUN
cana-1457	169	68	random	random	ADJ
cana-1457	169	69	forest	forest	NOUN
cana-1457	169	70	model	model	NOUN
cana-1457	169	71	achieved	achieve	VERB
cana-1457	169	72	best	good	ADJ
cana-1457	169	73	performance	performance	NOUN
cana-1457	169	74	for	for	ADP
cana-1457	169	75	sales	sale	NOUN
cana-1457	169	76	prediction	prediction	NOUN
cana-1457	169	77	(	(	PUNCT
cana-1457	169	78	r²	r²	NOUN
cana-1457	169	79	:	:	PUNCT
cana-1457	169	80	0.9033	0.9033	NUM
cana-1457	169	81	)	)	PUNCT
cana-1457	169	82	.	.	PUNCT
cana-1457	170	1	effects	effect	NOUN
cana-1457	170	2	of	of	ADP
cana-1457	170	3	three	three	NUM
cana-1457	170	4	different	different	ADJ
cana-1457	170	5	withering	wither	VERB
cana-1457	170	6	treatments	treatment	NOUN
cana-1457	170	7	on	on	ADP
cana-1457	170	8	the	the	DET
cana-1457	170	9	aroma	aroma	NOUN
cana-1457	170	10	of	of	ADP
cana-1457	170	11	white	white	ADJ
cana-1457	170	12	tea	tea	PROPN
cana-1457	170	13	huiting	huiting	PROPN
cana-1457	170	14	wu	wu	PROPN
cana-1457	170	15	,	,	PUNCT
cana-1457	170	16	yuyu	yuyu	PROPN
cana-1457	170	17	chen	chen	PROPN
cana-1457	170	18	,	,	PUNCT
cana-1457	170	19	wanzhen	wanzhen	ADJ
cana-1457	170	20	feng	feng	PROPN
cana-1457	170	21	,	,	PUNCT
cana-1457	170	22	shanshan	shanshan	PROPN
cana-1457	170	23	shen	shen	PROPN
cana-1457	170	24	,	,	PUNCT
cana-1457	170	25	yuming	yuming	PROPN
cana-1457	170	26	wei	wei	PROPN
cana-1457	170	27	,	,	PUNCT
cana-1457	170	28	huiyan	huiyan	PROPN
cana-1457	170	29	jia	jia	PROPN
cana-1457	170	30	,	,	PUNCT
cana-1457	170	31	yujie	yujie	PROPN
cana-1457	170	32	wang	wang	PROPN
cana-1457	170	33	,	,	PUNCT
cana-1457	170	34	safe	safe	ADJ
cana-1457	170	35	,	,	PUNCT
cana-1457	170	36	hs	hs	NOUN
cana-1457	170	37	-	-	NOUN
cana-1457	170	38	spme	spme	ADJ
cana-1457	170	39	,	,	PUNCT
cana-1457	170	40	gc	gc	PROPN
cana-1457	170	41	-	-	PUNCT
cana-1457	170	42	ms	ms	PROPN
cana-1457	170	43	for	for	ADP
cana-1457	170	44	aroma	aroma	NOUN
cana-1457	170	45	analysis	analysis	NOUN
cana-1457	170	46	not	not	PART
cana-1457	170	47	applicable	applicable	ADJ
cana-1457	170	48	(	(	PUNCT
cana-1457	170	49	focuses	focus	VERB
cana-1457	170	50	on	on	ADP
cana-1457	170	51	chemical	chemical	ADJ
cana-1457	170	52	analysis	analysis	NOUN
cana-1457	170	53	)	)	PUNCT
cana-1457	170	54	sunlight	sunlight	NOUN
cana-1457	170	55	withering	wither	VERB
cana-1457	170	56	resulted	result	VERB
cana-1457	170	57	in	in	ADP
cana-1457	170	58	stronger	strong	ADJ
cana-1457	170	59	floral	floral	ADJ
cana-1457	170	60	aroma	aroma	NOUN
cana-1457	170	61	due	due	ADP
cana-1457	170	62	to	to	ADP
cana-1457	170	63	increased	increase	VERB
cana-1457	170	64	geraniol	geraniol	NOUN
cana-1457	170	65	and	and	CCONJ
cana-1457	170	66	linalool	linalool	NOUN
cana-1457	170	67	,	,	PUNCT
cana-1457	170	68	while	while	SCONJ
cana-1457	170	69	tank	tank	NOUN
cana-1457	170	70	withering	wither	VERB
cana-1457	170	71	communications	communication	NOUN
cana-1457	170	72	on	on	ADP
cana-1457	170	73	applied	apply	VERB
cana-1457	170	74	nonlinear	nonlinear	ADJ
cana-1457	170	75	analysis	analysis	NOUN
cana-1457	170	76	issn	issn	NOUN
cana-1457	170	77	:	:	PUNCT
cana-1457	170	78	1074	1074	NUM
cana-1457	170	79	-	-	PUNCT
cana-1457	170	80	133x	133x	NUM
cana-1457	170	81	vol	vol	NOUN
cana-1457	170	82	31	31	NUM
cana-1457	170	83	no	no	NOUN
cana-1457	170	84	.	.	PUNCT
cana-1457	171	1	8s	8s	PROPN
cana-1457	171	2	(	(	PUNCT
cana-1457	171	3	2024	2024	NUM
cana-1457	171	4	)	)	PUNCT
cana-1457	171	5	64	64	NUM
cana-1457	171	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	171	7	weiwei	weiwei	PROPN
cana-1457	171	8	deng	deng	PROPN
cana-1457	171	9	,	,	PUNCT
cana-1457	171	10	jingming	jingme	VERB
cana-1457	171	11	ning	ning	NOUN
cana-1457	171	12	gave	give	VERB
cana-1457	171	13	a	a	DET
cana-1457	171	14	grassy	grassy	ADJ
cana-1457	171	15	aroma	aroma	NOUN
cana-1457	171	16	.	.	PUNCT
cana-1457	172	1	machine	machine	NOUN
cana-1457	172	2	learningbased	learningbase	VERB
cana-1457	172	3	tea	tea	NOUN
cana-1457	172	4	leaf	leaf	NOUN
cana-1457	172	5	disease	disease	NOUN
cana-1457	172	6	detection	detection	NOUN
cana-1457	172	7	:	:	PUNCT
cana-1457	172	8	a	a	DET
cana-1457	172	9	comprehensive	comprehensive	ADJ
cana-1457	172	10	review	review	NOUN
cana-1457	172	11	faruk	faruk	PROPN
cana-1457	172	12	ahmed	ahmed	PROPN
cana-1457	172	13	,	,	PUNCT
cana-1457	172	14	md	md	PROPN
cana-1457	172	15	.	.	PROPN
cana-1457	172	16	taimur	taimur	PROPN
cana-1457	172	17	ahad	ahad	PROPN
cana-1457	172	18	,	,	PUNCT
cana-1457	172	19	yousuf	yousuf	PROPN
cana-1457	172	20	rayhan	rayhan	PROPN
cana-1457	172	21	emon	emon	NOUN
cana-1457	172	22	image	image	NOUN
cana-1457	172	23	processing	processing	NOUN
cana-1457	172	24	,	,	PUNCT
cana-1457	172	25	vision	vision	NOUN
cana-1457	172	26	transformers	transformer	NOUN
cana-1457	172	27	,	,	PUNCT
cana-1457	172	28	cnn	cnn	PROPN
cana-1457	172	29	,	,	PUNCT
cana-1457	172	30	yolo	yolo	PROPN
cana-1457	172	31	vit	vit	PROPN
cana-1457	172	32	,	,	PUNCT
cana-1457	172	33	cnn	cnn	PROPN
cana-1457	172	34	,	,	PUNCT
cana-1457	172	35	densenet	densenet	PROPN
cana-1457	172	36	,	,	PUNCT
cana-1457	172	37	yolo	yolo	ADJ
cana-1457	172	38	vision	vision	NOUN
cana-1457	172	39	transformers	transformer	NOUN
cana-1457	172	40	achieved	achieve	VERB
cana-1457	172	41	the	the	DET
cana-1457	172	42	highest	high	ADJ
cana-1457	172	43	accuracy	accuracy	NOUN
cana-1457	172	44	(	(	PUNCT
cana-1457	172	45	~99.7	~99.7	NOUN
cana-1457	172	46	%	%	NOUN
cana-1457	172	47	)	)	PUNCT
cana-1457	172	48	for	for	ADP
cana-1457	172	49	tea	tea	NOUN
cana-1457	172	50	leaf	leaf	NOUN
cana-1457	172	51	disease	disease	NOUN
cana-1457	172	52	detection	detection	NOUN
cana-1457	172	53	.	.	PUNCT
cana-1457	173	1	iot	iot	PROPN
cana-1457	173	2	-	-	PUNCT
cana-1457	173	3	based	base	VERB
cana-1457	173	4	tea	tea	NOUN
cana-1457	173	5	withering	wither	VERB
cana-1457	173	6	process	process	NOUN
cana-1457	173	7	monitoring	monitoring	NOUN
cana-1457	173	8	using	use	VERB
cana-1457	173	9	machine	machine	NOUN
cana-1457	173	10	learning	learning	NOUN
cana-1457	173	11	models	model	NOUN
cana-1457	173	12	zou	zou	VERB
cana-1457	173	13	et	et	PROPN
cana-1457	173	14	al	al	PROPN
cana-1457	173	15	.	.	PROPN
cana-1457	174	1	(	(	PUNCT
cana-1457	174	2	2022	2022	NUM
cana-1457	174	3	)	)	PUNCT
cana-1457	174	4	iot	iot	ADJ
cana-1457	174	5	sensors	sensor	NOUN
cana-1457	174	6	,	,	PUNCT
cana-1457	174	7	nearinfrared	nearinfrare	VERB
cana-1457	174	8	spectroscopy	spectroscopy	NOUN
cana-1457	174	9	(	(	PUNCT
cana-1457	174	10	nirs	nirs	PROPN
cana-1457	174	11	)	)	PUNCT
cana-1457	174	12	svr	svr	PROPN
cana-1457	174	13	,	,	PUNCT
cana-1457	174	14	pls	pls	PROPN
cana-1457	174	15	improved	improve	VERB
cana-1457	174	16	moisture	moisture	NOUN
cana-1457	174	17	prediction	prediction	NOUN
cana-1457	174	18	accuracy	accuracy	NOUN
cana-1457	174	19	using	use	VERB
cana-1457	174	20	iot	iot	NOUN
cana-1457	174	21	and	and	CCONJ
cana-1457	174	22	nirs	nir	NOUN
cana-1457	174	23	.	.	PUNCT
cana-1457	175	1	crop	crop	NOUN
cana-1457	175	2	disease	disease	NOUN
cana-1457	175	3	prediction	prediction	NOUN
cana-1457	175	4	using	use	VERB
cana-1457	175	5	iot	iot	NOUN
cana-1457	175	6	and	and	CCONJ
cana-1457	175	7	machine	machine	NOUN
cana-1457	175	8	learning	learn	VERB
cana-1457	175	9	authors	author	NOUN
cana-1457	175	10	not	not	PART
cana-1457	175	11	specified	specify	VERB
cana-1457	175	12	iot	iot	ADJ
cana-1457	175	13	sensors	sensor	NOUN
cana-1457	175	14	,	,	PUNCT
cana-1457	175	15	mlr	mlr	PROPN
cana-1457	175	16	multiple	multiple	ADJ
cana-1457	175	17	linear	linear	PROPN
cana-1457	175	18	regression	regression	NOUN
cana-1457	175	19	(	(	PUNCT
cana-1457	175	20	mlr	mlr	NOUN
cana-1457	175	21	)	)	PUNCT
cana-1457	175	22	achieved	achieve	VERB
cana-1457	175	23	91	91	NUM
cana-1457	175	24	%	%	NOUN
cana-1457	175	25	accuracy	accuracy	NOUN
cana-1457	175	26	for	for	ADP
cana-1457	175	27	blister	blister	NOUN
cana-1457	175	28	blight	blight	NOUN
cana-1457	175	29	prediction	prediction	NOUN
cana-1457	175	30	based	base	VERB
cana-1457	175	31	on	on	ADP
cana-1457	175	32	environmental	environmental	ADJ
cana-1457	175	33	conditions	condition	NOUN
cana-1457	175	34	.	.	PUNCT
cana-1457	176	1	predicting	predict	VERB
cana-1457	176	2	moisture	moisture	NOUN
cana-1457	176	3	in	in	ADP
cana-1457	176	4	tea	tea	NOUN
cana-1457	176	5	leaves	leave	NOUN
cana-1457	176	6	using	use	VERB
cana-1457	176	7	nir	nir	ADJ
cana-1457	176	8	and	and	CCONJ
cana-1457	176	9	machine	machine	NOUN
cana-1457	176	10	learning	learning	NOUN
cana-1457	176	11	models	model	NOUN
cana-1457	176	12	yuan	yuan	VERB
cana-1457	176	13	et	et	PROPN
cana-1457	176	14	al	al	PROPN
cana-1457	176	15	.	.	PROPN
cana-1457	177	1	(	(	PUNCT
cana-1457	177	2	2021	2021	NUM
cana-1457	177	3	)	)	PUNCT
cana-1457	177	4	nir	nir	NOUN
cana-1457	177	5	sensor	sensor	NOUN
cana-1457	177	6	technology	technology	NOUN
cana-1457	177	7	svr	svr	NOUN
cana-1457	177	8	,	,	PUNCT
cana-1457	177	9	random	random	ADJ
cana-1457	177	10	forest	forest	NOUN
cana-1457	177	11	the	the	DET
cana-1457	177	12	study	study	NOUN
cana-1457	177	13	achieved	achieve	VERB
cana-1457	177	14	~93	~93	NOUN
cana-1457	177	15	%	%	NOUN
cana-1457	177	16	accuracy	accuracy	NOUN
cana-1457	177	17	for	for	ADP
cana-1457	177	18	moisture	moisture	NOUN
cana-1457	177	19	prediction	prediction	NOUN
cana-1457	177	20	in	in	ADP
cana-1457	177	21	withering	wither	VERB
cana-1457	177	22	leaves	leave	NOUN
cana-1457	177	23	.	.	PUNCT
cana-1457	178	1	tea	tea	NOUN
cana-1457	178	2	disease	disease	NOUN
cana-1457	178	3	detection	detection	NOUN
cana-1457	178	4	using	use	VERB
cana-1457	178	5	cnn	cnn	PROPN
cana-1457	178	6	and	and	CCONJ
cana-1457	178	7	transfer	transfer	VERB
cana-1457	178	8	learning	learning	PROPN
cana-1457	178	9	dr	dr	PROPN
cana-1457	178	10	.	.	PROPN
cana-1457	178	11	li	li	PROPN
cana-1457	178	12	et	et	PROPN
cana-1457	178	13	al	al	PROPN
cana-1457	178	14	.	.	PROPN
cana-1457	179	1	(	(	PUNCT
cana-1457	179	2	2020	2020	NUM
cana-1457	179	3	)	)	PUNCT
cana-1457	179	4	cnn	cnn	PROPN
cana-1457	179	5	,	,	PUNCT
cana-1457	179	6	transfer	transfer	NOUN
cana-1457	179	7	learning	learning	NOUN
cana-1457	179	8	techniques	technique	NOUN
cana-1457	179	9	cnn	cnn	PROPN
cana-1457	179	10	,	,	PUNCT
cana-1457	179	11	resnet-50	resnet-50	PROPN
cana-1457	179	12	achieved	achieve	VERB
cana-1457	179	13	95	95	NUM
cana-1457	179	14	%	%	NOUN
cana-1457	179	15	accuracy	accuracy	NOUN
cana-1457	179	16	in	in	ADP
cana-1457	179	17	detecting	detect	VERB
cana-1457	179	18	common	common	ADJ
cana-1457	179	19	tea	tea	NOUN
cana-1457	179	20	leaf	leaf	NOUN
cana-1457	179	21	diseases	disease	NOUN
cana-1457	179	22	.	.	PUNCT
cana-1457	180	1	lstm	lstm	NOUN
cana-1457	180	2	-	-	PUNCT
cana-1457	180	3	based	base	VERB
cana-1457	180	4	sensor	sensor	NOUN
cana-1457	180	5	data	data	NOUN
cana-1457	180	6	prediction	prediction	NOUN
cana-1457	180	7	for	for	ADP
cana-1457	180	8	tea	tea	NOUN
cana-1457	180	9	plantations	plantation	NOUN
cana-1457	180	10	zhang	zhang	PROPN
cana-1457	180	11	et	et	PROPN
cana-1457	180	12	al	al	PROPN
cana-1457	180	13	.	.	PROPN
cana-1457	181	1	(	(	PUNCT
cana-1457	181	2	2019	2019	NUM
cana-1457	181	3	)	)	PUNCT
cana-1457	181	4	lstm	lstm	NOUN
cana-1457	181	5	networks	network	NOUN
cana-1457	181	6	,	,	PUNCT
cana-1457	181	7	iot	iot	PROPN
cana-1457	181	8	lstm	lstm	PROPN
cana-1457	181	9	successfully	successfully	ADV
cana-1457	181	10	predicted	predict	VERB
cana-1457	181	11	environmental	environmental	ADJ
cana-1457	181	12	data	datum	NOUN
cana-1457	181	13	over	over	ADP
cana-1457	181	14	time	time	NOUN
cana-1457	181	15	,	,	PUNCT
cana-1457	181	16	showing	show	VERB
cana-1457	181	17	improvements	improvement	NOUN
cana-1457	181	18	in	in	ADP
cana-1457	181	19	long	long	ADJ
cana-1457	181	20	-	-	PUNCT
cana-1457	181	21	term	term	NOUN
cana-1457	181	22	accuracy	accuracy	NOUN
cana-1457	181	23	.	.	PUNCT
cana-1457	182	1	hyperspectral	hyperspectral	ADJ
cana-1457	182	2	imaging	imaging	NOUN
cana-1457	182	3	for	for	ADP
cana-1457	182	4	realtime	realtime	ADJ
cana-1457	182	5	quality	quality	NOUN
cana-1457	182	6	monitoring	monitoring	NOUN
cana-1457	182	7	of	of	ADP
cana-1457	182	8	tea	tea	NOUN
cana-1457	182	9	fermentation	fermentation	NOUN
cana-1457	182	10	li	li	PROPN
cana-1457	182	11	et	et	PROPN
cana-1457	182	12	al	al	PROPN
cana-1457	182	13	.	.	PROPN
cana-1457	183	1	(	(	PUNCT
cana-1457	183	2	2021	2021	NUM
cana-1457	183	3	)	)	PUNCT
cana-1457	183	4	hyperspectral	hyperspectral	ADJ
cana-1457	183	5	imaging	imaging	NOUN
cana-1457	183	6	,	,	PUNCT
cana-1457	183	7	iot	iot	PROPN
cana-1457	183	8	cnn	cnn	PROPN
cana-1457	183	9	,	,	PUNCT
cana-1457	183	10	svm	svm	PROPN
cana-1457	183	11	achieved	achieve	VERB
cana-1457	183	12	90	90	NUM
cana-1457	183	13	%	%	NOUN
cana-1457	183	14	accuracy	accuracy	NOUN
cana-1457	183	15	in	in	ADP
cana-1457	183	16	fermentation	fermentation	NOUN
cana-1457	183	17	quality	quality	NOUN
cana-1457	183	18	assessment	assessment	NOUN
cana-1457	183	19	using	use	VERB
cana-1457	183	20	hyperspectral	hyperspectral	ADJ
cana-1457	183	21	data	datum	NOUN
cana-1457	183	22	.	.	PUNCT
cana-1457	184	1	communications	communication	NOUN
cana-1457	184	2	on	on	ADP
cana-1457	184	3	applied	apply	VERB
cana-1457	184	4	nonlinear	nonlinear	ADJ
cana-1457	184	5	analysis	analysis	NOUN
cana-1457	184	6	issn	issn	NOUN
cana-1457	184	7	:	:	PUNCT
cana-1457	184	8	1074	1074	NUM
cana-1457	184	9	-	-	PUNCT
cana-1457	184	10	133x	133x	NUM
cana-1457	184	11	vol	vol	NOUN
cana-1457	184	12	31	31	NUM
cana-1457	184	13	no	no	NOUN
cana-1457	184	14	.	.	PUNCT
cana-1457	185	1	8s	8s	PROPN
cana-1457	185	2	(	(	PUNCT
cana-1457	185	3	2024	2024	NUM
cana-1457	185	4	)	)	PUNCT
cana-1457	185	5	65	65	NUM
cana-1457	185	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1457	185	7	3.1	3.1	NUM
cana-1457	185	8	drawbacks	drawback	NOUN
cana-1457	185	9	present	present	ADJ
cana-1457	185	10	in	in	ADP
cana-1457	185	11	the	the	DET
cana-1457	185	12	existing	exist	VERB
cana-1457	185	13	researches	research	NOUN
cana-1457	185	14	the	the	DET
cana-1457	185	15	existing	exist	VERB
cana-1457	185	16	research	research	NOUN
cana-1457	185	17	on	on	ADP
cana-1457	185	18	iot	iot	NOUN
cana-1457	185	19	and	and	CCONJ
cana-1457	185	20	machine	machine	NOUN
cana-1457	185	21	learning	learning	NOUN
cana-1457	185	22	(	(	PUNCT
cana-1457	185	23	ml	ml	NOUN
cana-1457	185	24	)	)	PUNCT
cana-1457	185	25	applications	application	NOUN
cana-1457	185	26	in	in	ADP
cana-1457	185	27	tea	tea	NOUN
cana-1457	185	28	processing	processing	NOUN
cana-1457	185	29	,	,	PUNCT
cana-1457	185	30	particularly	particularly	ADV
cana-1457	185	31	withering	withering	ADJ
cana-1457	185	32	and	and	CCONJ
cana-1457	185	33	disease	disease	NOUN
cana-1457	185	34	detection	detection	NOUN
cana-1457	185	35	,	,	PUNCT
cana-1457	185	36	has	have	VERB
cana-1457	185	37	several	several	ADJ
cana-1457	185	38	notable	notable	ADJ
cana-1457	185	39	drawbacks	drawback	NOUN
cana-1457	185	40	.	.	PUNCT
cana-1457	186	1	one	one	NUM
cana-1457	186	2	major	major	ADJ
cana-1457	186	3	limitation	limitation	NOUN
cana-1457	186	4	is	be	AUX
cana-1457	186	5	the	the	DET
cana-1457	186	6	lack	lack	NOUN
cana-1457	186	7	of	of	ADP
cana-1457	186	8	generalizability	generalizability	NOUN
cana-1457	186	9	in	in	ADP
cana-1457	186	10	most	most	ADJ
cana-1457	186	11	models	model	NOUN
cana-1457	186	12	,	,	PUNCT
cana-1457	186	13	which	which	PRON
cana-1457	186	14	are	be	AUX
cana-1457	186	15	often	often	ADV
cana-1457	186	16	designed	design	VERB
cana-1457	186	17	for	for	ADP
cana-1457	186	18	specific	specific	ADJ
cana-1457	186	19	tea	tea	NOUN
cana-1457	186	20	varieties	variety	NOUN
cana-1457	186	21	or	or	CCONJ
cana-1457	186	22	controlled	control	VERB
cana-1457	186	23	environments	environment	NOUN
cana-1457	186	24	.	.	PUNCT
cana-1457	187	1	these	these	DET
cana-1457	187	2	models	model	NOUN
cana-1457	187	3	struggle	struggle	VERB
cana-1457	187	4	to	to	PART
cana-1457	187	5	adapt	adapt	VERB
cana-1457	187	6	to	to	ADP
cana-1457	187	7	varying	vary	VERB
cana-1457	187	8	environmental	environmental	ADJ
cana-1457	187	9	conditions	condition	NOUN
cana-1457	187	10	such	such	ADJ
cana-1457	187	11	as	as	ADP
cana-1457	187	12	fluctuating	fluctuate	VERB
cana-1457	187	13	humidity	humidity	NOUN
cana-1457	187	14	and	and	CCONJ
cana-1457	187	15	temperature	temperature	NOUN
cana-1457	187	16	,	,	PUNCT
cana-1457	187	17	reducing	reduce	VERB
cana-1457	187	18	their	their	PRON
cana-1457	187	19	effectiveness	effectiveness	NOUN
cana-1457	187	20	in	in	ADP
cana-1457	187	21	real	real	ADJ
cana-1457	187	22	-	-	PUNCT
cana-1457	187	23	world	world	NOUN
cana-1457	187	24	applications	application	NOUN
cana-1457	187	25	.	.	PUNCT
cana-1457	188	1	moreover	moreover	ADV
cana-1457	188	2	,	,	PUNCT
cana-1457	188	3	scalability	scalability	NOUN
cana-1457	188	4	remains	remain	VERB
cana-1457	188	5	an	an	DET
cana-1457	188	6	issue	issue	NOUN
cana-1457	188	7	,	,	PUNCT
cana-1457	188	8	as	as	ADP
cana-1457	188	9	many	many	ADJ
cana-1457	188	10	of	of	ADP
cana-1457	188	11	these	these	DET
cana-1457	188	12	ml	ml	NOUN
cana-1457	188	13	models	model	NOUN
cana-1457	188	14	,	,	PUNCT
cana-1457	188	15	especially	especially	ADV
cana-1457	188	16	deep	deep	ADJ
cana-1457	188	17	learning	learning	NOUN
cana-1457	188	18	techniques	technique	NOUN
cana-1457	188	19	like	like	ADP
cana-1457	188	20	cnns	cnn	NOUN
cana-1457	188	21	and	and	CCONJ
cana-1457	188	22	vision	vision	NOUN
cana-1457	188	23	transformers	transformer	NOUN
cana-1457	188	24	,	,	PUNCT
cana-1457	188	25	require	require	VERB
cana-1457	188	26	significant	significant	ADJ
cana-1457	188	27	computational	computational	ADJ
cana-1457	188	28	resources	resource	NOUN
cana-1457	188	29	and	and	CCONJ
cana-1457	188	30	large	large	ADJ
cana-1457	188	31	datasets	dataset	NOUN
cana-1457	188	32	,	,	PUNCT
cana-1457	188	33	which	which	PRON
cana-1457	188	34	are	be	AUX
cana-1457	188	35	difficult	difficult	ADJ
cana-1457	188	36	for	for	SCONJ
cana-1457	188	37	small	small	ADJ
cana-1457	188	38	-	-	PUNCT
cana-1457	188	39	scale	scale	NOUN
cana-1457	188	40	tea	tea	NOUN
cana-1457	188	41	producers	producer	NOUN
cana-1457	188	42	to	to	PART
cana-1457	188	43	obtain	obtain	VERB
cana-1457	188	44	and	and	CCONJ
cana-1457	188	45	implement	implement	VERB
cana-1457	188	46	.	.	PUNCT
cana-1457	189	1	another	another	DET
cana-1457	189	2	key	key	ADJ
cana-1457	189	3	challenge	challenge	NOUN
cana-1457	189	4	is	be	AUX
cana-1457	189	5	the	the	DET
cana-1457	189	6	narrow	narrow	ADJ
cana-1457	189	7	focus	focus	NOUN
cana-1457	189	8	of	of	ADP
cana-1457	189	9	most	most	ADJ
cana-1457	189	10	studies	study	NOUN
cana-1457	189	11	,	,	PUNCT
cana-1457	189	12	which	which	PRON
cana-1457	189	13	typically	typically	ADV
cana-1457	189	14	address	address	VERB
cana-1457	189	15	one	one	NUM
cana-1457	189	16	or	or	CCONJ
cana-1457	189	17	two	two	NUM
cana-1457	189	18	specific	specific	ADJ
cana-1457	189	19	quality	quality	NOUN
cana-1457	189	20	parameters	parameter	NOUN
cana-1457	189	21	(	(	PUNCT
cana-1457	189	22	e.g.	e.g.	ADV
cana-1457	189	23	,	,	PUNCT
cana-1457	189	24	moisture	moisture	NOUN
cana-1457	189	25	or	or	CCONJ
cana-1457	189	26	aroma	aroma	NOUN
cana-1457	189	27	)	)	PUNCT
cana-1457	189	28	rather	rather	ADV
cana-1457	189	29	than	than	ADP
cana-1457	189	30	providing	provide	VERB
cana-1457	189	31	a	a	DET
cana-1457	189	32	comprehensive	comprehensive	ADJ
cana-1457	189	33	solution	solution	NOUN
cana-1457	189	34	for	for	ADP
cana-1457	189	35	monitoring	monitor	VERB
cana-1457	189	36	multiple	multiple	ADJ
cana-1457	189	37	critical	critical	ADJ
cana-1457	189	38	factors	factor	NOUN
cana-1457	189	39	simultaneously	simultaneously	ADV
cana-1457	189	40	.	.	PUNCT
cana-1457	190	1	additionally	additionally	ADV
cana-1457	190	2	,	,	PUNCT
cana-1457	190	3	the	the	DET
cana-1457	190	4	sensitivity	sensitivity	NOUN
cana-1457	190	5	of	of	ADP
cana-1457	190	6	iot	iot	ADJ
cana-1457	190	7	sensors	sensor	NOUN
cana-1457	190	8	to	to	ADP
cana-1457	190	9	data	data	NOUN
cana-1457	190	10	quality	quality	NOUN
cana-1457	190	11	can	can	AUX
cana-1457	190	12	introduce	introduce	VERB
cana-1457	190	13	noise	noise	NOUN
cana-1457	190	14	,	,	PUNCT
cana-1457	190	15	requiring	require	VERB
cana-1457	190	16	robust	robust	ADJ
cana-1457	190	17	pre	pre	ADJ
cana-1457	190	18	-	-	ADJ
cana-1457	190	19	processing	processing	ADJ
cana-1457	190	20	techniques	technique	NOUN
cana-1457	190	21	,	,	PUNCT
cana-1457	190	22	while	while	SCONJ
cana-1457	190	23	real	real	ADJ
cana-1457	190	24	-	-	PUNCT
cana-1457	190	25	time	time	NOUN
cana-1457	190	26	monitoring	monitoring	NOUN
cana-1457	190	27	remains	remain	VERB
cana-1457	190	28	complex	complex	ADJ
cana-1457	190	29	to	to	PART
cana-1457	190	30	implement	implement	VERB
cana-1457	190	31	in	in	ADP
cana-1457	190	32	environments	environment	NOUN
cana-1457	190	33	with	with	ADP
cana-1457	190	34	limited	limited	ADJ
cana-1457	190	35	infrastructure	infrastructure	NOUN
cana-1457	190	36	.	.	PUNCT
cana-1457	191	1	these	these	DET
cana-1457	191	2	limitations	limitation	NOUN
cana-1457	191	3	highlight	highlight	VERB
cana-1457	191	4	the	the	DET
cana-1457	191	5	need	need	NOUN
cana-1457	191	6	for	for	ADP
cana-1457	191	7	more	more	ADV
cana-1457	191	8	adaptable	adaptable	ADJ
cana-1457	191	9	,	,	PUNCT
cana-1457	191	10	scalable	scalable	ADJ
cana-1457	191	11	,	,	PUNCT
cana-1457	191	12	and	and	CCONJ
cana-1457	191	13	integrated	integrated	ADJ
cana-1457	191	14	solutions	solution	NOUN
cana-1457	191	15	that	that	PRON
cana-1457	191	16	can	can	AUX
cana-1457	191	17	handle	handle	VERB
cana-1457	191	18	diverse	diverse	ADJ
cana-1457	191	19	environmental	environmental	ADJ
cana-1457	191	20	conditions	condition	NOUN
cana-1457	191	21	and	and	CCONJ
cana-1457	191	22	optimize	optimize	VERB
cana-1457	191	23	multiple	multiple	ADJ
cana-1457	191	24	parameters	parameter	NOUN
cana-1457	191	25	in	in	ADP
cana-1457	191	26	tea	tea	NOUN
cana-1457	191	27	processing	processing	NOUN
cana-1457	191	28	.	.	PUNCT
cana-1457	192	1	3.2	3.2	NUM
cana-1457	192	2	proposed	propose	VERB
cana-1457	192	3	solution	solution	NOUN
cana-1457	192	4	generalizability	generalizability	NOUN
cana-1457	192	5	across	across	ADP
cana-1457	192	6	different	different	ADJ
cana-1457	192	7	environmental	environmental	ADJ
cana-1457	192	8	conditions	condition	NOUN
cana-1457	192	9	:	:	PUNCT
cana-1457	192	10	one	one	NUM
cana-1457	192	11	of	of	ADP
cana-1457	192	12	the	the	DET
cana-1457	192	13	most	most	ADV
cana-1457	192	14	critical	critical	ADJ
cana-1457	192	15	drawbacks	drawback	NOUN
cana-1457	192	16	in	in	ADP
cana-1457	192	17	prior	prior	ADJ
cana-1457	192	18	research	research	NOUN
cana-1457	192	19	is	be	AUX
cana-1457	192	20	the	the	DET
cana-1457	192	21	lack	lack	NOUN
cana-1457	192	22	of	of	ADP
cana-1457	192	23	adaptability	adaptability	NOUN
cana-1457	192	24	to	to	ADP
cana-1457	192	25	varying	vary	VERB
cana-1457	192	26	environmental	environmental	ADJ
cana-1457	192	27	conditions	condition	NOUN
cana-1457	192	28	such	such	ADJ
cana-1457	192	29	as	as	ADP
cana-1457	192	30	fluctuating	fluctuate	VERB
cana-1457	192	31	humidity	humidity	NOUN
cana-1457	192	32	and	and	CCONJ
cana-1457	192	33	temperature	temperature	NOUN
cana-1457	192	34	.	.	PUNCT
cana-1457	193	1	existing	exist	VERB
cana-1457	193	2	models	model	NOUN
cana-1457	193	3	are	be	AUX
cana-1457	193	4	often	often	ADV
cana-1457	193	5	tailored	tailor	VERB
cana-1457	193	6	to	to	ADP
cana-1457	193	7	specific	specific	ADJ
cana-1457	193	8	tea	tea	NOUN
cana-1457	193	9	varieties	variety	NOUN
cana-1457	193	10	or	or	CCONJ
cana-1457	193	11	controlled	control	VERB
cana-1457	193	12	environments	environment	NOUN
cana-1457	193	13	,	,	PUNCT
cana-1457	193	14	limiting	limit	VERB
cana-1457	193	15	their	their	PRON
cana-1457	193	16	real	real	ADJ
cana-1457	193	17	-	-	PUNCT
cana-1457	193	18	world	world	NOUN
cana-1457	193	19	application	application	NOUN
cana-1457	193	20	.	.	PUNCT
cana-1457	194	1	in	in	ADP
cana-1457	194	2	this	this	DET
cana-1457	194	3	research	research	NOUN
cana-1457	194	4	,	,	PUNCT
cana-1457	194	5	we	we	PRON
cana-1457	194	6	address	address	VERB
cana-1457	194	7	this	this	DET
cana-1457	194	8	issue	issue	NOUN
cana-1457	194	9	by	by	ADP
cana-1457	194	10	employing	employ	VERB
cana-1457	194	11	xgboost	xgboost	NUM
cana-1457	194	12	,	,	PUNCT
cana-1457	194	13	a	a	DET
cana-1457	194	14	gradient	gradient	NOUN
cana-1457	194	15	boosting	boost	VERB
cana-1457	194	16	algorithm	algorithm	NOUN
cana-1457	194	17	known	know	VERB
cana-1457	194	18	for	for	ADP
cana-1457	194	19	its	its	PRON
cana-1457	194	20	ability	ability	NOUN
cana-1457	194	21	to	to	PART
cana-1457	194	22	handle	handle	VERB
cana-1457	194	23	structured	structure	VERB
cana-1457	194	24	/	/	SYM
cana-1457	194	25	tabular	tabular	PROPN
cana-1457	194	26	data	datum	NOUN
cana-1457	194	27	and	and	CCONJ
cana-1457	194	28	model	model	NOUN
cana-1457	194	29	complex	complex	ADJ
cana-1457	194	30	non	non	ADJ
cana-1457	194	31	-	-	ADJ
cana-1457	194	32	linear	linear	ADJ
cana-1457	194	33	relationships	relationship	NOUN
cana-1457	194	34	.	.	PUNCT
cana-1457	195	1	xgboost	xgboost	PROPN
cana-1457	195	2	's	's	PART
cana-1457	195	3	flexibility	flexibility	NOUN
cana-1457	195	4	allows	allow	VERB
cana-1457	195	5	it	it	PRON
cana-1457	195	6	to	to	PART
cana-1457	195	7	generalize	generalize	VERB
cana-1457	195	8	better	well	ADV
cana-1457	195	9	to	to	ADP
cana-1457	195	10	different	different	ADJ
cana-1457	195	11	environmental	environmental	ADJ
cana-1457	195	12	conditions	condition	NOUN
cana-1457	195	13	,	,	PUNCT
cana-1457	195	14	enabling	enable	VERB
cana-1457	195	15	it	it	PRON
cana-1457	195	16	to	to	PART
cana-1457	195	17	adapt	adapt	VERB
cana-1457	195	18	to	to	PART
cana-1457	195	19	diverse	diverse	VERB
cana-1457	195	20	scenarios	scenario	NOUN
cana-1457	195	21	with	with	ADP
cana-1457	195	22	varying	vary	VERB
cana-1457	195	23	temperature	temperature	NOUN
cana-1457	195	24	and	and	CCONJ
cana-1457	195	25	humidity	humidity	NOUN
cana-1457	195	26	levels	level	NOUN
cana-1457	195	27	.	.	PUNCT
cana-1457	196	1	moreover	moreover	ADV
cana-1457	196	2	,	,	PUNCT
cana-1457	196	3	hyperparameter	hyperparameter	NOUN
cana-1457	196	4	tuning	tune	VERB
cana-1457	196	5	ensures	ensure	VERB
cana-1457	196	6	that	that	SCONJ
cana-1457	196	7	the	the	DET
cana-1457	196	8	model	model	NOUN
cana-1457	196	9	is	be	AUX
cana-1457	196	10	optimized	optimize	VERB
cana-1457	196	11	for	for	ADP
cana-1457	196	12	different	different	ADJ
cana-1457	196	13	datasets	dataset	NOUN
cana-1457	196	14	,	,	PUNCT
cana-1457	196	15	enhancing	enhance	VERB
cana-1457	196	16	its	its	PRON
cana-1457	196	17	generalization	generalization	NOUN
cana-1457	196	18	performance	performance	NOUN
cana-1457	196	19	scalability	scalability	NOUN
cana-1457	196	20	for	for	ADP
cana-1457	196	21	small	small	ADJ
cana-1457	196	22	-	-	PUNCT
cana-1457	196	23	scale	scale	NOUN
cana-1457	196	24	3.3	3.3	NUM
cana-1457	196	25	tea	tea	NOUN
cana-1457	196	26	producers	producer	NOUN
cana-1457	196	27	:	:	PUNCT
cana-1457	196	28	traditional	traditional	ADJ
cana-1457	196	29	deep	deep	ADJ
cana-1457	196	30	learning	learning	NOUN
cana-1457	196	31	approaches	approach	NOUN
cana-1457	196	32	like	like	ADP
cana-1457	196	33	cnns	cnn	NOUN
cana-1457	196	34	and	and	CCONJ
cana-1457	196	35	vision	vision	NOUN
cana-1457	196	36	transformers	transformer	NOUN
cana-1457	196	37	require	require	VERB
cana-1457	196	38	large	large	ADJ
cana-1457	196	39	datasets	dataset	NOUN
cana-1457	196	40	and	and	CCONJ
cana-1457	196	41	significant	significant	ADJ
cana-1457	196	42	computational	computational	ADJ
cana-1457	196	43	resources	resource	NOUN
cana-1457	196	44	,	,	PUNCT
cana-1457	196	45	making	make	VERB
cana-1457	196	46	them	they	PRON
cana-1457	196	47	impractical	impractical	ADJ
cana-1457	196	48	for	for	ADP
cana-1457	196	49	small	small	ADJ
cana-1457	196	50	-	-	PUNCT
cana-1457	196	51	scale	scale	NOUN
cana-1457	196	52	tea	tea	NOUN
cana-1457	196	53	producers	producer	NOUN
cana-1457	196	54	with	with	ADP
cana-1457	196	55	limited	limited	ADJ
cana-1457	196	56	resources	resource	NOUN
cana-1457	196	57	.	.	PUNCT
cana-1457	197	1	this	this	DET
cana-1457	197	2	approach	approach	NOUN
cana-1457	197	3	focuses	focus	VERB
cana-1457	197	4	on	on	ADP
cana-1457	197	5	lightweight	lightweight	ADJ
cana-1457	197	6	,	,	PUNCT
cana-1457	197	7	scalable	scalable	ADJ
cana-1457	197	8	models	model	NOUN
cana-1457	197	9	such	such	ADJ
cana-1457	197	10	as	as	ADP
cana-1457	197	11	xgboost	xgboost	ADV
cana-1457	197	12	and	and	CCONJ
cana-1457	197	13	lightgbm	lightgbm	ADJ
cana-1457	197	14	,	,	PUNCT
cana-1457	197	15	which	which	PRON
cana-1457	197	16	can	can	AUX
cana-1457	197	17	deliver	deliver	VERB
cana-1457	197	18	high	high	ADJ
cana-1457	197	19	accuracy	accuracy	NOUN
cana-1457	197	20	even	even	ADV
cana-1457	197	21	with	with	ADP
cana-1457	197	22	smaller	small	ADJ
cana-1457	197	23	datasets	dataset	NOUN
cana-1457	197	24	.	.	PUNCT
cana-1457	198	1	these	these	DET
cana-1457	198	2	models	model	NOUN
cana-1457	198	3	are	be	AUX
cana-1457	198	4	computationally	computationally	ADV
cana-1457	198	5	efficient	efficient	ADJ
cana-1457	198	6	,	,	PUNCT
cana-1457	198	7	making	make	VERB
cana-1457	198	8	them	they	PRON
cana-1457	198	9	suitable	suitable	ADJ
cana-1457	198	10	for	for	ADP
cana-1457	198	11	real	real	ADJ
cana-1457	198	12	-	-	PUNCT
cana-1457	198	13	time	time	NOUN
cana-1457	198	14	monitoring	monitoring	NOUN
cana-1457	198	15	in	in	ADP
cana-1457	198	16	tea	tea	NOUN
cana-1457	198	17	production	production	NOUN
cana-1457	198	18	environments	environment	NOUN
cana-1457	198	19	with	with	ADP
cana-1457	198	20	limited	limited	ADJ
cana-1457	198	21	infrastructure	infrastructure	NOUN
cana-1457	198	22	.	.	PUNCT
cana-1457	199	1	this	this	DET
cana-1457	199	2	scalability	scalability	NOUN
cana-1457	199	3	allows	allow	VERB
cana-1457	199	4	small	small	ADJ
cana-1457	199	5	tea	tea	NOUN
cana-1457	199	6	producers	producer	NOUN
cana-1457	199	7	to	to	PART
cana-1457	199	8	implement	implement	VERB
cana-1457	199	9	machine	machine	NOUN
cana-1457	199	10	learning	learn	VERB
cana-1457	199	11	solutions	solution	NOUN
cana-1457	199	12	without	without	ADP
cana-1457	199	13	requiring	require	VERB
cana-1457	199	14	large	large	ADJ
cana-1457	199	15	-	-	PUNCT
cana-1457	199	16	scale	scale	NOUN
cana-1457	199	17	data	datum	NOUN
cana-1457	199	18	or	or	CCONJ
cana-1457	199	19	expensive	expensive	ADJ
cana-1457	199	20	computational	computational	ADJ
cana-1457	199	21	infrastructure	infrastructure	NOUN
cana-1457	199	22	.	.	PUNCT
cana-1457	200	1	additionally	additionally	ADV
cana-1457	200	2	,	,	PUNCT
cana-1457	200	3	this	this	DET
cana-1457	200	4	research	research	NOUN
cana-1457	200	5	includes	include	VERB
cana-1457	200	6	an	an	DET
cana-1457	200	7	iot	iot	NOUN
cana-1457	200	8	-	-	PUNCT
cana-1457	200	9	based	base	VERB
cana-1457	200	10	real	real	ADJ
cana-1457	200	11	-	-	PUNCT
cana-1457	200	12	time	time	NOUN
cana-1457	200	13	monitoring	monitoring	NOUN
cana-1457	200	14	system	system	NOUN
cana-1457	200	15	,	,	PUNCT
cana-1457	200	16	where	where	SCONJ
cana-1457	200	17	tea	tea	NOUN
cana-1457	200	18	producers	producer	NOUN
cana-1457	200	19	can	can	AUX
cana-1457	200	20	track	track	VERB
cana-1457	200	21	sensor	sensor	NOUN
cana-1457	200	22	data	datum	NOUN
cana-1457	200	23	on	on	ADP
cana-1457	200	24	a	a	DET
cana-1457	200	25	dashboard	dashboard	NOUN
cana-1457	200	26	,	,	PUNCT
cana-1457	200	27	allowing	allow	VERB
cana-1457	200	28	for	for	ADP
cana-1457	200	29	timely	timely	ADJ
cana-1457	200	30	interventions	intervention	NOUN
cana-1457	200	31	and	and	CCONJ
cana-1457	200	32	adjustments	adjustment	NOUN
cana-1457	200	33	in	in	ADP
cana-1457	200	34	the	the	DET
cana-1457	200	35	withering	wither	VERB
cana-1457	200	36	process	process	NOUN
cana-1457	200	37	.	.	PUNCT
cana-1457	201	1	the	the	DET
cana-1457	201	2	iot	iot	PROPN
cana-1457	201	3	dashboard	dashboard	NOUN
cana-1457	201	4	provides	provide	VERB
cana-1457	201	5	real	real	ADJ
cana-1457	201	6	-	-	PUNCT
cana-1457	201	7	time	time	NOUN
cana-1457	201	8	visibility	visibility	NOUN
cana-1457	201	9	into	into	ADP
cana-1457	201	10	critical	critical	ADJ
cana-1457	201	11	factors	factor	NOUN
cana-1457	201	12	like	like	ADP
cana-1457	201	13	temperature	temperature	NOUN
cana-1457	201	14	,	,	PUNCT
cana-1457	201	15	humidity	humidity	NOUN
cana-1457	201	16	,	,	PUNCT
cana-1457	201	17	and	and	CCONJ
cana-1457	201	18	moisture	moisture	NOUN
cana-1457	201	19	levels	level	NOUN
cana-1457	201	20	,	,	PUNCT
cana-1457	201	21	ensuring	ensure	VERB
cana-1457	201	22	that	that	SCONJ
cana-1457	201	23	anyone	anyone	PRON
cana-1457	201	24	can	can	AUX
cana-1457	201	25	monitor	monitor	VERB
cana-1457	201	26	and	and	CCONJ
cana-1457	201	27	optimize	optimize	VERB
cana-1457	201	28	the	the	DET
cana-1457	201	29	process	process	NOUN
cana-1457	201	30	communications	communication	NOUN
cana-1457	201	31	on	on	ADP
cana-1457	201	32	applied	apply	VERB
cana-1457	201	33	nonlinear	nonlinear	ADJ
cana-1457	201	34	analysis	analysis	NOUN
cana-1457	201	35	issn	issn	NOUN
cana-1457	201	36	:	:	PUNCT
cana-1457	201	37	1074	1074	NUM
cana-1457	201	38	-	-	PUNCT
cana-1457	201	39	133x	133x	NUM
cana-1457	201	40	vol	vol	NOUN
cana-1457	201	41	31	31	NUM
cana-1457	201	42	no	no	NOUN
cana-1457	201	43	.	.	PUNCT
cana-1457	202	1	8s	8s	PROPN
cana-1457	202	2	(	(	PUNCT
cana-1457	202	3	2024	2024	NUM
cana-1457	202	4	)	)	PUNCT
cana-1457	202	5	66	66	NUM
cana-1457	202	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	202	7	remotely	remotely	ADV
cana-1457	202	8	without	without	ADP
cana-1457	202	9	sophisticated	sophisticated	ADJ
cana-1457	202	10	infrastructure	infrastructure	NOUN
cana-1457	202	11	.	.	PUNCT
cana-1457	203	1	this	this	DET
cana-1457	203	2	combination	combination	NOUN
cana-1457	203	3	of	of	ADP
cana-1457	203	4	machine	machine	NOUN
cana-1457	203	5	learning	learning	NOUN
cana-1457	203	6	and	and	CCONJ
cana-1457	203	7	iot	iot	PROPN
cana-1457	203	8	technology	technology	NOUN
cana-1457	203	9	offers	offer	VERB
cana-1457	203	10	a	a	DET
cana-1457	203	11	comprehensive	comprehensive	ADJ
cana-1457	203	12	,	,	PUNCT
cana-1457	203	13	scalable	scalable	ADJ
cana-1457	203	14	,	,	PUNCT
cana-1457	203	15	and	and	CCONJ
cana-1457	203	16	adaptable	adaptable	ADJ
cana-1457	203	17	solution	solution	NOUN
cana-1457	203	18	for	for	ADP
cana-1457	203	19	optimizing	optimize	VERB
cana-1457	203	20	tea	tea	NOUN
cana-1457	203	21	quality	quality	NOUN
cana-1457	203	22	during	during	ADP
cana-1457	203	23	processing	processing	NOUN
cana-1457	203	24	.	.	PUNCT
cana-1457	204	1	4	4	X
cana-1457	204	2	.	.	X
cana-1457	204	3	methods	method	NOUN
cana-1457	204	4	4.1	4.1	NUM
cana-1457	204	5	overview	overview	NOUN
cana-1457	204	6	of	of	ADP
cana-1457	204	7	the	the	DET
cana-1457	204	8	system	system	NOUN
cana-1457	204	9	architecture	architecture	VERB
cana-1457	204	10	the	the	DET
cana-1457	204	11	architecture	architecture	NOUN
cana-1457	204	12	of	of	ADP
cana-1457	204	13	the	the	DET
cana-1457	204	14	proposed	propose	VERB
cana-1457	204	15	system	system	NOUN
cana-1457	204	16	integrates	integrate	VERB
cana-1457	204	17	iot	iot	ADJ
cana-1457	204	18	-	-	PUNCT
cana-1457	204	19	based	base	VERB
cana-1457	204	20	data	data	NOUN
cana-1457	204	21	acquisition	acquisition	NOUN
cana-1457	204	22	,	,	PUNCT
cana-1457	204	23	machine	machine	NOUN
cana-1457	204	24	learning	learning	NOUN
cana-1457	204	25	-	-	PUNCT
cana-1457	204	26	based	base	VERB
cana-1457	204	27	predictive	predictive	ADJ
cana-1457	204	28	modelling	modelling	NOUN
cana-1457	204	29	,	,	PUNCT
cana-1457	204	30	and	and	CCONJ
cana-1457	204	31	a	a	DET
cana-1457	204	32	real	real	ADJ
cana-1457	204	33	-	-	PUNCT
cana-1457	204	34	time	time	NOUN
cana-1457	204	35	iot	iot	NOUN
cana-1457	204	36	dashboard	dashboard	NOUN
cana-1457	204	37	to	to	PART
cana-1457	204	38	optimize	optimize	VERB
cana-1457	204	39	the	the	DET
cana-1457	204	40	tea	tea	NOUN
cana-1457	204	41	withering	wither	VERB
cana-1457	204	42	process	process	NOUN
cana-1457	204	43	.	.	PUNCT
cana-1457	205	1	the	the	DET
cana-1457	205	2	system	system	NOUN
cana-1457	205	3	architecture	architecture	NOUN
cana-1457	205	4	is	be	AUX
cana-1457	205	5	designed	design	VERB
cana-1457	205	6	to	to	PART
cana-1457	205	7	monitor	monitor	VERB
cana-1457	205	8	and	and	CCONJ
cana-1457	205	9	control	control	VERB
cana-1457	205	10	the	the	DET
cana-1457	205	11	environmental	environmental	ADJ
cana-1457	205	12	factors	factor	NOUN
cana-1457	205	13	affecting	affect	VERB
cana-1457	205	14	tea	tea	NOUN
cana-1457	205	15	withering	withering	NOUN
cana-1457	205	16	,	,	PUNCT
cana-1457	205	17	including	include	VERB
cana-1457	205	18	temperature	temperature	NOUN
cana-1457	205	19	,	,	PUNCT
cana-1457	205	20	humidity	humidity	NOUN
cana-1457	205	21	,	,	PUNCT
cana-1457	205	22	and	and	CCONJ
cana-1457	205	23	moisture	moisture	NOUN
cana-1457	205	24	content	content	NOUN
cana-1457	205	25	,	,	PUNCT
cana-1457	205	26	using	use	VERB
cana-1457	205	27	iot	iot	ADJ
cana-1457	205	28	sensors	sensor	NOUN
cana-1457	205	29	and	and	CCONJ
cana-1457	205	30	machine	machine	NOUN
cana-1457	205	31	learning	learning	NOUN
cana-1457	205	32	models	model	NOUN
cana-1457	205	33	for	for	ADP
cana-1457	205	34	real	real	ADJ
cana-1457	205	35	-	-	PUNCT
cana-1457	205	36	time	time	NOUN
cana-1457	205	37	predictions	prediction	NOUN
cana-1457	205	38	.	.	PUNCT
cana-1457	206	1	this	this	DET
cana-1457	206	2	system	system	NOUN
cana-1457	206	3	facilitates	facilitate	VERB
cana-1457	206	4	the	the	DET
cana-1457	206	5	seamless	seamless	ADJ
cana-1457	206	6	flow	flow	NOUN
cana-1457	206	7	of	of	ADP
cana-1457	206	8	data	datum	NOUN
cana-1457	206	9	between	between	ADP
cana-1457	206	10	sensors	sensor	NOUN
cana-1457	206	11	,	,	PUNCT
cana-1457	206	12	cloud	cloud	NOUN
cana-1457	206	13	storage	storage	NOUN
cana-1457	206	14	,	,	PUNCT
cana-1457	206	15	machine	machine	NOUN
cana-1457	206	16	learning	learning	NOUN
cana-1457	206	17	models	model	NOUN
cana-1457	206	18	,	,	PUNCT
cana-1457	206	19	and	and	CCONJ
cana-1457	206	20	the	the	DET
cana-1457	206	21	dashboard	dashboard	NOUN
cana-1457	206	22	,	,	PUNCT
cana-1457	206	23	enabling	enable	VERB
cana-1457	206	24	tea	tea	NOUN
cana-1457	206	25	producers	producer	NOUN
cana-1457	206	26	to	to	PART
cana-1457	206	27	monitor	monitor	VERB
cana-1457	206	28	and	and	CCONJ
cana-1457	206	29	optimize	optimize	VERB
cana-1457	206	30	the	the	DET
cana-1457	206	31	process	process	NOUN
cana-1457	206	32	remotely	remotely	ADV
cana-1457	206	33	.	.	PUNCT
cana-1457	207	1	the	the	DET
cana-1457	207	2	core	core	ADJ
cana-1457	207	3	components	component	NOUN
cana-1457	207	4	of	of	ADP
cana-1457	207	5	the	the	DET
cana-1457	207	6	architecture	architecture	NOUN
cana-1457	207	7	are	be	AUX
cana-1457	207	8	the	the	DET
cana-1457	207	9	iot	iot	ADJ
cana-1457	207	10	sensors	sensor	NOUN
cana-1457	207	11	for	for	ADP
cana-1457	207	12	temperature	temperature	NOUN
cana-1457	207	13	,	,	PUNCT
cana-1457	207	14	humidity	humidity	NOUN
cana-1457	207	15	,	,	PUNCT
cana-1457	207	16	and	and	CCONJ
cana-1457	207	17	moisture	moisture	NOUN
cana-1457	207	18	content	content	NOUN
cana-1457	207	19	monitoring	monitoring	NOUN
cana-1457	207	20	.	.	PUNCT
cana-1457	208	1	the	the	DET
cana-1457	208	2	dht22	dht22	PROPN
cana-1457	208	3	sensor	sensor	NOUN
cana-1457	208	4	provides	provide	VERB
cana-1457	208	5	real	real	ADJ
cana-1457	208	6	-	-	PUNCT
cana-1457	208	7	time	time	NOUN
cana-1457	208	8	data	datum	NOUN
cana-1457	208	9	for	for	ADP
cana-1457	208	10	temperature	temperature	NOUN
cana-1457	208	11	𝑇(𝑡	𝑇(𝑡	NOUN
cana-1457	208	12	)	)	PUNCT
cana-1457	208	13	and	and	CCONJ
cana-1457	208	14	humidity	humidity	NOUN
cana-1457	208	15	𝐻(𝑡	𝐻(𝑡	PRON
cana-1457	208	16	)	)	PUNCT
cana-1457	208	17	,	,	PUNCT
cana-1457	208	18	while	while	SCONJ
cana-1457	208	19	the	the	DET
cana-1457	208	20	capacitive	capacitive	ADJ
cana-1457	208	21	moisture	moisture	NOUN
cana-1457	208	22	sensor	sensor	NOUN
cana-1457	208	23	records	record	VERB
cana-1457	208	24	the	the	DET
cana-1457	208	25	moisture	moisture	NOUN
cana-1457	208	26	content	content	NOUN
cana-1457	208	27	𝑀(𝑡	𝑀(𝑡	NUM
cana-1457	208	28	)	)	PUNCT
cana-1457	208	29	of	of	ADP
cana-1457	208	30	the	the	DET
cana-1457	208	31	tea	tea	NOUN
cana-1457	208	32	leaves	leave	NOUN
cana-1457	208	33	.	.	PUNCT
cana-1457	209	1	the	the	DET
cana-1457	209	2	collected	collect	VERB
cana-1457	209	3	data	data	NOUN
cana-1457	209	4	forms	form	VERB
cana-1457	209	5	a	a	DET
cana-1457	209	6	multivariate	multivariate	NOUN
cana-1457	209	7	time	time	NOUN
cana-1457	209	8	series	series	PROPN
cana-1457	209	9	represented	represent	VERB
cana-1457	209	10	as	as	ADP
cana-1457	209	11	:	:	PUNCT
cana-1457	209	12	𝑋(𝑡	𝑋(𝑡	NUM
cana-1457	209	13	)	)	PUNCT
cana-1457	209	14	=	=	PUNCT
cana-1457	210	1	[	[	X
cana-1457	210	2	𝑇(𝑡	𝑇(𝑡	X
cana-1457	210	3	)	)	PUNCT
cana-1457	210	4	,	,	PUNCT
cana-1457	210	5	𝐻(𝑡	𝐻(𝑡	NOUN
cana-1457	210	6	)	)	PUNCT
cana-1457	210	7	,	,	PUNCT
cana-1457	210	8	𝑀(𝑡)]⊤	𝑀(𝑡)]⊤	PROPN
cana-1457	210	9	where	where	SCONJ
cana-1457	210	10	𝑡	𝑡	PROPN
cana-1457	210	11	represents	represent	VERB
cana-1457	210	12	the	the	DET
cana-1457	210	13	discrete	discrete	ADJ
cana-1457	210	14	time	time	NOUN
cana-1457	210	15	steps	step	NOUN
cana-1457	210	16	.	.	PUNCT
cana-1457	211	1	the	the	DET
cana-1457	211	2	continuous	continuous	ADJ
cana-1457	211	3	monitoring	monitoring	NOUN
cana-1457	211	4	over	over	ADP
cana-1457	211	5	the	the	DET
cana-1457	211	6	withering	wither	VERB
cana-1457	211	7	process	process	NOUN
cana-1457	211	8	generates	generate	VERB
cana-1457	211	9	the	the	DET
cana-1457	211	10	matrix	matrix	NOUN
cana-1457	211	11	.	.	PUNCT
cana-1457	212	1	the	the	DET
cana-1457	212	2	raw	raw	ADJ
cana-1457	212	3	sensor	sensor	NOUN
cana-1457	212	4	data	datum	NOUN
cana-1457	212	5	collected	collect	VERB
cana-1457	212	6	at	at	ADP
cana-1457	212	7	regular	regular	ADJ
cana-1457	212	8	intervals	interval	NOUN
cana-1457	212	9	δt	δt	X
cana-1457	212	10	is	be	AUX
cana-1457	212	11	transmitted	transmit	VERB
cana-1457	212	12	wirelessly	wirelessly	ADV
cana-1457	212	13	to	to	ADP
cana-1457	212	14	a	a	DET
cana-1457	212	15	cloud	cloud	NOUN
cana-1457	212	16	-	-	PUNCT
cana-1457	212	17	based	base	VERB
cana-1457	212	18	system	system	NOUN
cana-1457	212	19	using	use	VERB
cana-1457	212	20	a	a	DET
cana-1457	212	21	wi	wi	PROPN
cana-1457	212	22	-	-	PUNCT
cana-1457	212	23	fi	fi	NOUN
cana-1457	212	24	module	module	NOUN
cana-1457	212	25	integrated	integrate	VERB
cana-1457	212	26	with	with	ADP
cana-1457	212	27	the	the	DET
cana-1457	212	28	microcontroller	microcontroller	NOUN
cana-1457	212	29	.	.	PUNCT
cana-1457	213	1	the	the	DET
cana-1457	213	2	transmission	transmission	NOUN
cana-1457	213	3	delay	delay	NOUN
cana-1457	213	4	𝐿transmit	𝐿transmit	PROPN
cana-1457	213	5	is	be	AUX
cana-1457	213	6	modelled	model	VERB
cana-1457	213	7	by	by	ADP
cana-1457	213	8	the	the	DET
cana-1457	213	9	equation	equation	NOUN
cana-1457	213	10	:	:	PUNCT
cana-1457	213	11	𝐿transmit	𝐿transmit	PROPN
cana-1457	213	12	=	=	SYM
cana-1457	213	13	𝑆	𝑆	PROPN
cana-1457	213	14	𝐵	𝐵	NOUN
cana-1457	213	15	+	+	CCONJ
cana-1457	213	16	τqueue	τqueue	NOUN
cana-1457	213	17	+	+	SYM
cana-1457	213	18	τpropagation	τpropagation	NOUN
cana-1457	213	19	𝑋	𝑋	NOUN
cana-1457	213	20	−	−	PROPN
cana-1457	213	21	μ𝑋σ𝑋	μ𝑋σ𝑋	NOUN
cana-1457	213	22	where	where	SCONJ
cana-1457	213	23	ss	ss	PROPN
cana-1457	213	24	is	be	AUX
cana-1457	213	25	the	the	DET
cana-1457	213	26	size	size	NOUN
cana-1457	213	27	of	of	ADP
cana-1457	213	28	the	the	DET
cana-1457	213	29	transmitted	transmit	VERB
cana-1457	213	30	data	data	NOUN
cana-1457	213	31	packet	packet	NOUN
cana-1457	213	32	,	,	PUNCT
cana-1457	213	33	bb	bb	PROPN
cana-1457	213	34	is	be	AUX
cana-1457	213	35	the	the	DET
cana-1457	213	36	bandwidth	bandwidth	NOUN
cana-1457	213	37	of	of	ADP
cana-1457	213	38	the	the	DET
cana-1457	213	39	communication	communication	NOUN
cana-1457	213	40	channel	channel	NOUN
cana-1457	213	41	,	,	PUNCT
cana-1457	213	42	μ𝑋represents	μ𝑋represents	PROPN
cana-1457	213	43	the	the	DET
cana-1457	213	44	queuing	queue	VERB
cana-1457	213	45	delay	delay	NOUN
cana-1457	213	46	at	at	ADP
cana-1457	213	47	the	the	DET
cana-1457	213	48	transmitter	transmitter	NOUN
cana-1457	213	49	,	,	PUNCT
cana-1457	213	50	and	and	CCONJ
cana-1457	213	51	σ𝑋denotes	σ𝑋denote	VERB
cana-1457	213	52	the	the	DET
cana-1457	213	53	propagation	propagation	NOUN
cana-1457	213	54	delay	delay	NOUN
cana-1457	213	55	in	in	ADP
cana-1457	213	56	the	the	DET
cana-1457	213	57	network	network	NOUN
cana-1457	213	58	.	.	PUNCT
cana-1457	214	1	these	these	DET
cana-1457	214	2	delays	delay	NOUN
cana-1457	214	3	are	be	AUX
cana-1457	214	4	minimized	minimize	VERB
cana-1457	214	5	to	to	PART
cana-1457	214	6	ensure	ensure	VERB
cana-1457	214	7	real	real	ADJ
cana-1457	214	8	-	-	PUNCT
cana-1457	214	9	time	time	NOUN
cana-1457	214	10	data	datum	NOUN
cana-1457	214	11	transmission	transmission	NOUN
cana-1457	214	12	for	for	ADP
cana-1457	214	13	accurate	accurate	ADJ
cana-1457	214	14	predictions	prediction	NOUN
cana-1457	214	15	.	.	PUNCT
cana-1457	215	1	once	once	SCONJ
cana-1457	215	2	the	the	DET
cana-1457	215	3	data	data	NOUN
cana-1457	215	4	is	be	AUX
cana-1457	215	5	uploaded	upload	VERB
cana-1457	215	6	to	to	ADP
cana-1457	215	7	the	the	DET
cana-1457	215	8	cloud	cloud	NOUN
cana-1457	215	9	,	,	PUNCT
cana-1457	215	10	it	it	PRON
cana-1457	215	11	is	be	AUX
cana-1457	215	12	stored	store	VERB
cana-1457	215	13	in	in	ADP
cana-1457	215	14	a	a	DET
cana-1457	215	15	real	real	ADJ
cana-1457	215	16	-	-	PUNCT
cana-1457	215	17	time	time	NOUN
cana-1457	215	18	database	database	NOUN
cana-1457	215	19	(	(	PUNCT
cana-1457	215	20	such	such	ADJ
cana-1457	215	21	as	as	ADP
cana-1457	215	22	firebase	firebase	NOUN
cana-1457	215	23	)	)	PUNCT
cana-1457	215	24	,	,	PUNCT
cana-1457	215	25	where	where	SCONJ
cana-1457	215	26	it	it	PRON
cana-1457	215	27	becomes	become	VERB
cana-1457	215	28	available	available	ADJ
cana-1457	215	29	for	for	ADP
cana-1457	215	30	both	both	CCONJ
cana-1457	215	31	historical	historical	ADJ
cana-1457	215	32	analysis	analysis	NOUN
cana-1457	215	33	and	and	CCONJ
cana-1457	215	34	immediate	immediate	ADJ
cana-1457	215	35	processing	processing	NOUN
cana-1457	215	36	.	.	PUNCT
cana-1457	216	1	preprocessing	preprocesse	VERB
cana-1457	216	2	steps	step	NOUN
cana-1457	216	3	are	be	AUX
cana-1457	216	4	applied	apply	VERB
cana-1457	216	5	to	to	ADP
cana-1457	216	6	the	the	DET
cana-1457	216	7	data	datum	NOUN
cana-1457	216	8	to	to	PART
cana-1457	216	9	remove	remove	VERB
cana-1457	216	10	noise	noise	NOUN
cana-1457	216	11	,	,	PUNCT
cana-1457	216	12	handle	handle	VERB
cana-1457	216	13	missing	miss	VERB
cana-1457	216	14	values	value	NOUN
cana-1457	216	15	,	,	PUNCT
cana-1457	216	16	and	and	CCONJ
cana-1457	216	17	normalize	normalize	VERB
cana-1457	216	18	the	the	DET
cana-1457	216	19	features	feature	NOUN
cana-1457	216	20	.	.	PUNCT
cana-1457	217	1	the	the	DET
cana-1457	217	2	preprocessed	preprocesse	VERB
cana-1457	217	3	data	datum	NOUN
cana-1457	217	4	,	,	PUNCT
cana-1457	217	5	𝑋clean	𝑋clean	PROPN
cana-1457	217	6	,	,	PUNCT
cana-1457	217	7	is	be	AUX
cana-1457	217	8	derived	derive	VERB
cana-1457	217	9	from	from	ADP
cana-1457	217	10	the	the	DET
cana-1457	217	11	raw	raw	ADJ
cana-1457	217	12	data	data	NOUN
cana-1457	217	13	matrix	matrix	NOUN
cana-1457	217	14	𝑋applying	𝑋applying	NOUN
cana-1457	217	15	normalization	normalization	NOUN
cana-1457	217	16	:	:	PUNCT
cana-1457	217	17	𝑋clean	𝑋clean	PROPN
cana-1457	217	18	=	=	SYM
cana-1457	217	19	𝑋	𝑋	PROPN
cana-1457	217	20	−	−	PROPN
cana-1457	217	21	𝜇𝑋𝜎𝑋	𝜇𝑋𝜎𝑋	ADV
cana-1457	217	22	where	where	SCONJ
cana-1457	217	23	𝜇𝑋	𝜇𝑋	SCONJ
cana-1457	217	24	is	be	AUX
cana-1457	217	25	the	the	DET
cana-1457	217	26	mean	mean	NOUN
cana-1457	217	27	and	and	CCONJ
cana-1457	217	28	𝜎𝑋	𝜎𝑋	PROPN
cana-1457	217	29	is	be	AUX
cana-1457	217	30	the	the	DET
cana-1457	217	31	standard	standard	ADJ
cana-1457	217	32	deviation	deviation	NOUN
cana-1457	217	33	of	of	ADP
cana-1457	217	34	the	the	DET
cana-1457	217	35	features	feature	NOUN
cana-1457	217	36	.	.	PUNCT
cana-1457	218	1	this	this	DET
cana-1457	218	2	normalization	normalization	NOUN
cana-1457	218	3	ensures	ensure	VERB
cana-1457	218	4	that	that	SCONJ
cana-1457	218	5	all	all	DET
cana-1457	218	6	features	feature	NOUN
cana-1457	218	7	have	have	VERB
cana-1457	218	8	a	a	DET
cana-1457	218	9	mean	mean	NOUN
cana-1457	218	10	of	of	ADP
cana-1457	218	11	0	0	NUM
cana-1457	218	12	and	and	CCONJ
cana-1457	218	13	a	a	DET
cana-1457	218	14	variance	variance	NOUN
cana-1457	218	15	of	of	ADP
cana-1457	218	16	1	1	NUM
cana-1457	218	17	,	,	PUNCT
cana-1457	218	18	making	make	VERB
cana-1457	218	19	the	the	DET
cana-1457	218	20	data	datum	NOUN
cana-1457	218	21	suitable	suitable	ADJ
cana-1457	218	22	for	for	ADP
cana-1457	218	23	machine	machine	NOUN
cana-1457	218	24	learning	learning	NOUN
cana-1457	218	25	models	model	NOUN
cana-1457	218	26	like	like	ADP
cana-1457	218	27	xgboost	xgboost	ADV
cana-1457	218	28	and	and	CCONJ
cana-1457	218	29	lightgbm	lightgbm	ADJ
cana-1457	218	30	.	.	PUNCT
cana-1457	219	1	the	the	DET
cana-1457	219	2	machine	machine	NOUN
cana-1457	219	3	learning	learning	NOUN
cana-1457	219	4	models	model	NOUN
cana-1457	219	5	employed	employ	VERB
cana-1457	219	6	in	in	ADP
cana-1457	219	7	this	this	DET
cana-1457	219	8	architecture	architecture	NOUN
cana-1457	219	9	predict	predict	VERB
cana-1457	219	10	the	the	DET
cana-1457	219	11	moisture	moisture	NOUN
cana-1457	219	12	content	content	NOUN
cana-1457	219	13	of	of	ADP
cana-1457	219	14	the	the	DET
cana-1457	219	15	tea	tea	NOUN
cana-1457	219	16	leaves	leave	VERB
cana-1457	219	17	�	�	PROPN
cana-1457	219	18	̂	̂	PROPN
cana-1457	219	19	�	�	NOUN
cana-1457	219	20	(𝑡	(𝑡	NOUN
cana-1457	219	21	)	)	PUNCT
cana-1457	219	22	based	base	VERB
cana-1457	219	23	on	on	ADP
cana-1457	219	24	the	the	DET
cana-1457	219	25	environmental	environmental	ADJ
cana-1457	219	26	conditions	condition	NOUN
cana-1457	219	27	𝑇(𝑡	𝑇(𝑡	NUM
cana-1457	219	28	)	)	PUNCT
cana-1457	219	29	and	and	CCONJ
cana-1457	219	30	𝐻(𝑡	𝐻(𝑡	NOUN
cana-1457	219	31	)	)	PUNCT
cana-1457	219	32	.	.	PUNCT
cana-1457	220	1	the	the	DET
cana-1457	220	2	predictive	predictive	ADJ
cana-1457	220	3	model	model	NOUN
cana-1457	220	4	is	be	AUX
cana-1457	220	5	trained	train	VERB
cana-1457	220	6	on	on	ADP
cana-1457	220	7	historical	historical	ADJ
cana-1457	220	8	data	datum	NOUN
cana-1457	220	9	using	use	VERB
cana-1457	220	10	the	the	DET
cana-1457	220	11	following	follow	VERB
cana-1457	220	12	mapping	mapping	NOUN
cana-1457	220	13	:	:	PUNCT
cana-1457	220	14	�	�	PROPN
cana-1457	220	15	̂	̂	SYM
cana-1457	220	16	�	�	NOUN
cana-1457	220	17	(𝑡	(𝑡	NOUN
cana-1457	220	18	)	)	PUNCT
cana-1457	220	19	=	=	SYM
cana-1457	220	20	𝑓(𝑇(𝑡	𝑓(𝑇(𝑡	NUM
cana-1457	220	21	)	)	PUNCT
cana-1457	220	22	,	,	PUNCT
cana-1457	220	23	𝐻(𝑡	𝐻(𝑡	NOUN
cana-1457	220	24	)	)	PUNCT
cana-1457	220	25	)	)	PUNCT
cana-1457	221	1	+	+	CCONJ
cana-1457	221	2	communications	communication	NOUN
cana-1457	221	3	on	on	ADP
cana-1457	221	4	applied	apply	VERB
cana-1457	221	5	nonlinear	nonlinear	ADJ
cana-1457	221	6	analysis	analysis	NOUN
cana-1457	221	7	issn	issn	NOUN
cana-1457	221	8	:	:	PUNCT
cana-1457	221	9	1074	1074	NUM
cana-1457	221	10	-	-	PUNCT
cana-1457	221	11	133x	133x	NUM
cana-1457	221	12	vol	vol	NOUN
cana-1457	221	13	31	31	NUM
cana-1457	221	14	no	no	NOUN
cana-1457	221	15	.	.	PUNCT
cana-1457	222	1	8s	8s	PROPN
cana-1457	222	2	(	(	PUNCT
cana-1457	222	3	2024	2024	NUM
cana-1457	222	4	)	)	PUNCT
cana-1457	222	5	67	67	NUM
cana-1457	222	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	222	7	where	where	SCONJ
cana-1457	222	8	ff	ff	NOUN
cana-1457	222	9	is	be	AUX
cana-1457	222	10	the	the	DET
cana-1457	222	11	predictive	predictive	ADJ
cana-1457	222	12	function	function	NOUN
cana-1457	222	13	learned	learn	VERB
cana-1457	222	14	by	by	ADP
cana-1457	222	15	the	the	DET
cana-1457	222	16	machine	machine	NOUN
cana-1457	222	17	learning	learning	NOUN
cana-1457	222	18	model	model	NOUN
cana-1457	222	19	and	and	CCONJ
cana-1457	222	20	ϵϵ	ϵϵ	INTJ
cana-1457	222	21	represents	represent	VERB
cana-1457	222	22	the	the	DET
cana-1457	222	23	model	model	NOUN
cana-1457	222	24	error	error	NOUN
cana-1457	222	25	.	.	PUNCT
cana-1457	223	1	xgboost	xgboost	PROPN
cana-1457	223	2	is	be	AUX
cana-1457	223	3	used	use	VERB
cana-1457	223	4	due	due	ADP
cana-1457	223	5	to	to	ADP
cana-1457	223	6	its	its	PRON
cana-1457	223	7	efficiency	efficiency	NOUN
cana-1457	223	8	in	in	ADP
cana-1457	223	9	handling	handle	VERB
cana-1457	223	10	large	large	ADJ
cana-1457	223	11	datasets	dataset	NOUN
cana-1457	223	12	and	and	CCONJ
cana-1457	223	13	its	its	PRON
cana-1457	223	14	ability	ability	NOUN
cana-1457	223	15	to	to	PART
cana-1457	223	16	model	model	VERB
cana-1457	223	17	complex	complex	ADJ
cana-1457	223	18	,	,	PUNCT
cana-1457	223	19	non	non	ADJ
cana-1457	223	20	-	-	ADJ
cana-1457	223	21	linear	linear	ADJ
cana-1457	223	22	relationships	relationship	NOUN
cana-1457	223	23	between	between	ADP
cana-1457	223	24	the	the	DET
cana-1457	223	25	input	input	NOUN
cana-1457	223	26	features	feature	VERB
cana-1457	223	27	.	.	PUNCT
cana-1457	224	1	the	the	DET
cana-1457	224	2	objective	objective	ADJ
cana-1457	224	3	function	function	NOUN
cana-1457	224	4	for	for	ADP
cana-1457	224	5	xgboost	xgboost	ADV
cana-1457	224	6	is	be	AUX
cana-1457	224	7	defined	define	VERB
cana-1457	224	8	as	as	ADP
cana-1457	224	9	:	:	PUNCT
cana-1457	224	10	ℒ(θ	ℒ(θ	X
cana-1457	224	11	)	)	PUNCT
cana-1457	224	12	=	=	SYM
cana-1457	225	1	∑(𝑦𝑖	∑(𝑦𝑖	PROPN
cana-1457	225	2	−	−	PROPN
cana-1457	225	3	𝑦	𝑦	SYM
cana-1457	225	4	�	�	NOUN
cana-1457	225	5	̂	̂	SYM
cana-1457	225	6	�	�	NOUN
cana-1457	225	7	)	)	PUNCT
cana-1457	225	8	2	2	NUM
cana-1457	226	1	𝑁	𝑁	PROPN
cana-1457	226	2	𝑖=1	𝑖=1	PROPN
cana-1457	226	3	+	+	PUNCT
cana-1457	226	4	λ	λ	PROPN
cana-1457	226	5	∑	∑	PROPN
cana-1457	226	6	|θ𝑘	|θ𝑘	PROPN
cana-1457	226	7	𝐾	𝐾	PROPN
cana-1457	226	8	𝑘=1	𝑘=1	PROPN
cana-1457	226	9	|2	|2	NUM
cana-1457	226	10	2	2	NUM
cana-1457	226	11	+	+	NUM
cana-1457	226	12	α	α	NOUN
cana-1457	226	13	∑|θ𝑘|	∑|θ𝑘|	NOUN
cana-1457	226	14	𝐾	𝐾	PROPN
cana-1457	226	15	𝑘=1	𝑘=1	PROPN
cana-1457	226	16	where	where	SCONJ
cana-1457	226	17	𝑦𝑖	𝑦𝑖	PROPN
cana-1457	226	18	represents	represent	VERB
cana-1457	226	19	the	the	DET
cana-1457	226	20	true	true	ADJ
cana-1457	226	21	moisture	moisture	NOUN
cana-1457	226	22	content	content	NOUN
cana-1457	226	23	,	,	PUNCT
cana-1457	226	24	𝑦	𝑦	NOUN
cana-1457	226	25	�	�	NOUN
cana-1457	226	26	̂	̂	VERB
cana-1457	226	27	�	�	NOUN
cana-1457	226	28	represents	represent	VERB
cana-1457	226	29	the	the	DET
cana-1457	226	30	predicted	predict	VERB
cana-1457	226	31	moisture	moisture	NOUN
cana-1457	226	32	content	content	NOUN
cana-1457	226	33	,	,	PUNCT
cana-1457	226	34	θ	θ	PROPN
cana-1457	226	35	is	be	AUX
cana-1457	226	36	the	the	DET
cana-1457	226	37	set	set	NOUN
cana-1457	226	38	of	of	ADP
cana-1457	226	39	model	model	NOUN
cana-1457	226	40	parameters	parameter	NOUN
cana-1457	226	41	,	,	PUNCT
cana-1457	226	42	λ	λ	PROPN
cana-1457	226	43	is	be	AUX
cana-1457	226	44	the	the	DET
cana-1457	226	45	l2	l2	NOUN
cana-1457	226	46	regularization	regularization	NOUN
cana-1457	226	47	term	term	NOUN
cana-1457	226	48	,	,	PUNCT
cana-1457	226	49	and	and	CCONJ
cana-1457	226	50	α	α	PRON
cana-1457	226	51	is	be	AUX
cana-1457	226	52	the	the	DET
cana-1457	226	53	l1	l1	PROPN
cana-1457	226	54	regularization	regularization	NOUN
cana-1457	226	55	term	term	NOUN
cana-1457	226	56	.	.	PUNCT
cana-1457	227	1	the	the	DET
cana-1457	227	2	regularization	regularization	NOUN
cana-1457	227	3	terms	term	NOUN
cana-1457	227	4	help	help	VERB
cana-1457	227	5	prevent	prevent	VERB
cana-1457	227	6	overfitting	overfitte	VERB
cana-1457	227	7	by	by	ADP
cana-1457	227	8	penalizing	penalize	VERB
cana-1457	227	9	overly	overly	ADV
cana-1457	227	10	complex	complex	ADJ
cana-1457	227	11	models	model	NOUN
cana-1457	227	12	.	.	PUNCT
cana-1457	228	1	the	the	DET
cana-1457	228	2	iot	iot	PROPN
cana-1457	228	3	dashboard	dashboard	NOUN
cana-1457	228	4	is	be	AUX
cana-1457	228	5	a	a	DET
cana-1457	228	6	key	key	ADJ
cana-1457	228	7	component	component	NOUN
cana-1457	228	8	of	of	ADP
cana-1457	228	9	the	the	DET
cana-1457	228	10	architecture	architecture	NOUN
cana-1457	228	11	,	,	PUNCT
cana-1457	228	12	providing	provide	VERB
cana-1457	228	13	real	real	ADJ
cana-1457	228	14	-	-	PUNCT
cana-1457	228	15	time	time	NOUN
cana-1457	228	16	feedback	feedback	NOUN
cana-1457	228	17	to	to	ADP
cana-1457	228	18	tea	tea	NOUN
cana-1457	228	19	producers	producer	NOUN
cana-1457	228	20	.	.	PUNCT
cana-1457	229	1	the	the	DET
cana-1457	229	2	dashboard	dashboard	NOUN
cana-1457	229	3	is	be	AUX
cana-1457	229	4	connected	connect	VERB
cana-1457	229	5	to	to	ADP
cana-1457	229	6	the	the	DET
cana-1457	229	7	cloud	cloud	ADJ
cana-1457	229	8	database	database	NOUN
cana-1457	229	9	via	via	ADP
cana-1457	229	10	an	an	DET
cana-1457	229	11	api	api	NOUN
cana-1457	229	12	,	,	PUNCT
cana-1457	229	13	which	which	PRON
cana-1457	229	14	fetches	fetch	VERB
cana-1457	229	15	the	the	DET
cana-1457	229	16	latest	late	ADJ
cana-1457	229	17	sensor	sensor	NOUN
cana-1457	229	18	readings	reading	NOUN
cana-1457	229	19	and	and	CCONJ
cana-1457	229	20	machine	machine	NOUN
cana-1457	229	21	learning	learn	VERB
cana-1457	229	22	predictions	prediction	NOUN
cana-1457	229	23	.	.	PUNCT
cana-1457	230	1	the	the	DET
cana-1457	230	2	data	datum	NOUN
cana-1457	230	3	displayed	display	VERB
cana-1457	230	4	on	on	ADP
cana-1457	230	5	the	the	DET
cana-1457	230	6	dashboard	dashboard	NOUN
cana-1457	230	7	includes	include	VERB
cana-1457	230	8	temperature	temperature	NOUN
cana-1457	230	9	,	,	PUNCT
cana-1457	230	10	humidity	humidity	NOUN
cana-1457	230	11	,	,	PUNCT
cana-1457	230	12	and	and	CCONJ
cana-1457	230	13	moisture	moisture	NOUN
cana-1457	230	14	content	content	NOUN
cana-1457	230	15	,	,	PUNCT
cana-1457	230	16	along	along	ADP
cana-1457	230	17	with	with	ADP
cana-1457	230	18	alerts	alert	NOUN
cana-1457	230	19	when	when	SCONJ
cana-1457	230	20	any	any	DET
cana-1457	230	21	parameter	parameter	NOUN
cana-1457	230	22	deviates	deviate	VERB
cana-1457	230	23	from	from	ADP
cana-1457	230	24	the	the	DET
cana-1457	230	25	optimal	optimal	ADJ
cana-1457	230	26	range	range	NOUN
cana-1457	230	27	.	.	PUNCT
cana-1457	231	1	the	the	DET
cana-1457	231	2	overall	overall	ADJ
cana-1457	231	3	latency	latency	NOUN
cana-1457	231	4	of	of	ADP
cana-1457	231	5	the	the	DET
cana-1457	231	6	system	system	NOUN
cana-1457	231	7	is	be	AUX
cana-1457	231	8	expressed	express	VERB
cana-1457	231	9	as	as	ADP
cana-1457	231	10	:	:	PUNCT
cana-1457	231	11	𝐿total	𝐿total	PROPN
cana-1457	231	12	=	=	PUNCT
cana-1457	231	13	𝐿transmit	𝐿transmit	PROPN
cana-1457	231	14	+	+	CCONJ
cana-1457	231	15	𝐿process	𝐿process	PROPN
cana-1457	231	16	+	+	X
cana-1457	231	17	𝐿dashboard	𝐿dashboard	PROPN
cana-1457	231	18	where	where	SCONJ
cana-1457	231	19	𝐿process	𝐿process	PROPN
cana-1457	231	20	represents	represent	VERB
cana-1457	231	21	the	the	DET
cana-1457	231	22	time	time	NOUN
cana-1457	231	23	taken	take	VERB
cana-1457	231	24	for	for	ADP
cana-1457	231	25	the	the	DET
cana-1457	231	26	machine	machine	NOUN
cana-1457	231	27	learning	learning	NOUN
cana-1457	231	28	models	model	NOUN
cana-1457	231	29	to	to	PART
cana-1457	231	30	process	process	VERB
cana-1457	231	31	the	the	DET
cana-1457	231	32	incoming	incoming	ADJ
cana-1457	231	33	data	datum	NOUN
cana-1457	231	34	and	and	CCONJ
cana-1457	231	35	𝐿dashboard	𝐿dashboard	PROPN
cana-1457	231	36	represents	represent	VERB
cana-1457	231	37	the	the	DET
cana-1457	231	38	time	time	NOUN
cana-1457	231	39	taken	take	VERB
cana-1457	231	40	to	to	PART
cana-1457	231	41	visualize	visualize	VERB
cana-1457	231	42	the	the	DET
cana-1457	231	43	data	datum	NOUN
cana-1457	231	44	on	on	ADP
cana-1457	231	45	the	the	DET
cana-1457	231	46	dashboard	dashboard	NOUN
cana-1457	231	47	.	.	PUNCT
cana-1457	232	1	the	the	DET
cana-1457	232	2	total	total	ADJ
cana-1457	232	3	system	system	NOUN
cana-1457	232	4	architecture	architecture	NOUN
cana-1457	232	5	integrates	integrate	VERB
cana-1457	232	6	all	all	DET
cana-1457	232	7	these	these	DET
cana-1457	232	8	components	component	NOUN
cana-1457	232	9	into	into	ADP
cana-1457	232	10	a	a	DET
cana-1457	232	11	cohesive	cohesive	ADJ
cana-1457	232	12	solution	solution	NOUN
cana-1457	232	13	that	that	PRON
cana-1457	232	14	can	can	AUX
cana-1457	232	15	operate	operate	VERB
cana-1457	232	16	in	in	ADP
cana-1457	232	17	near	near	ADJ
cana-1457	232	18	-	-	PUNCT
cana-1457	232	19	real	real	ADJ
cana-1457	232	20	time	time	NOUN
cana-1457	232	21	,	,	PUNCT
cana-1457	232	22	enabling	enable	VERB
cana-1457	232	23	tea	tea	NOUN
cana-1457	232	24	producers	producer	NOUN
cana-1457	232	25	to	to	PART
cana-1457	232	26	monitor	monitor	VERB
cana-1457	232	27	and	and	CCONJ
cana-1457	232	28	optimize	optimize	VERB
cana-1457	232	29	the	the	DET
cana-1457	232	30	withering	wither	VERB
cana-1457	232	31	process	process	NOUN
cana-1457	232	32	continuously	continuously	ADV
cana-1457	232	33	.	.	PUNCT
cana-1457	233	1	the	the	DET
cana-1457	233	2	modular	modular	ADJ
cana-1457	233	3	design	design	NOUN
cana-1457	233	4	of	of	ADP
cana-1457	233	5	the	the	DET
cana-1457	233	6	system	system	NOUN
cana-1457	233	7	allows	allow	VERB
cana-1457	233	8	for	for	ADP
cana-1457	233	9	scalability	scalability	NOUN
cana-1457	233	10	,	,	PUNCT
cana-1457	233	11	making	make	VERB
cana-1457	233	12	it	it	PRON
cana-1457	233	13	suitable	suitable	ADJ
cana-1457	233	14	for	for	ADP
cana-1457	233	15	both	both	CCONJ
cana-1457	233	16	small	small	ADJ
cana-1457	233	17	-	-	PUNCT
cana-1457	233	18	scale	scale	NOUN
cana-1457	233	19	and	and	CCONJ
cana-1457	233	20	large	large	ADJ
cana-1457	233	21	-	-	PUNCT
cana-1457	233	22	scale	scale	NOUN
cana-1457	233	23	tea	tea	NOUN
cana-1457	233	24	producers	producer	NOUN
cana-1457	233	25	.	.	PUNCT
cana-1457	234	1	the	the	DET
cana-1457	234	2	flexibility	flexibility	NOUN
cana-1457	234	3	of	of	ADP
cana-1457	234	4	the	the	DET
cana-1457	234	5	machine	machine	NOUN
cana-1457	234	6	learning	learning	NOUN
cana-1457	234	7	models	model	NOUN
cana-1457	234	8	ensures	ensure	VERB
cana-1457	234	9	that	that	SCONJ
cana-1457	234	10	the	the	DET
cana-1457	234	11	system	system	NOUN
cana-1457	234	12	can	can	AUX
cana-1457	234	13	adapt	adapt	VERB
cana-1457	234	14	to	to	ADP
cana-1457	234	15	various	various	ADJ
cana-1457	234	16	environmental	environmental	ADJ
cana-1457	234	17	conditions	condition	NOUN
cana-1457	234	18	,	,	PUNCT
cana-1457	234	19	while	while	SCONJ
cana-1457	234	20	the	the	DET
cana-1457	234	21	iot	iot	PROPN
cana-1457	234	22	dashboard	dashboard	NOUN
cana-1457	234	23	provides	provide	VERB
cana-1457	234	24	actionable	actionable	ADJ
cana-1457	234	25	insights	insight	NOUN
cana-1457	234	26	in	in	ADP
cana-1457	234	27	real	real	ADJ
cana-1457	234	28	time	time	NOUN
cana-1457	234	29	.	.	PUNCT
cana-1457	235	1	4.2	4.2	NUM
cana-1457	235	2	.	.	PUNCT
cana-1457	235	3	iot	iot	ADJ
cana-1457	235	4	setup	setup	NOUN
cana-1457	235	5	and	and	CCONJ
cana-1457	235	6	sensor	sensor	NOUN
cana-1457	235	7	integration	integration	NOUN
cana-1457	235	8	the	the	DET
cana-1457	235	9	integration	integration	NOUN
cana-1457	235	10	of	of	ADP
cana-1457	235	11	iot	iot	ADJ
cana-1457	235	12	sensors	sensor	NOUN
cana-1457	235	13	in	in	ADP
cana-1457	235	14	tea	tea	NOUN
cana-1457	235	15	processing	processing	NOUN
cana-1457	235	16	requires	require	VERB
cana-1457	235	17	a	a	DET
cana-1457	235	18	carefully	carefully	ADV
cana-1457	235	19	designed	design	VERB
cana-1457	235	20	setup	setup	NOUN
cana-1457	235	21	to	to	PART
cana-1457	235	22	ensure	ensure	VERB
cana-1457	235	23	that	that	SCONJ
cana-1457	235	24	all	all	DET
cana-1457	235	25	environmental	environmental	ADJ
cana-1457	235	26	factors	factor	NOUN
cana-1457	235	27	influencing	influence	VERB
cana-1457	235	28	the	the	DET
cana-1457	235	29	withering	wither	VERB
cana-1457	235	30	process	process	NOUN
cana-1457	235	31	are	be	AUX
cana-1457	235	32	captured	capture	VERB
cana-1457	235	33	accurately	accurately	ADV
cana-1457	235	34	and	and	CCONJ
cana-1457	235	35	transmitted	transmit	VERB
cana-1457	235	36	in	in	ADP
cana-1457	235	37	real	real	ADJ
cana-1457	235	38	time	time	NOUN
cana-1457	235	39	.	.	PUNCT
cana-1457	236	1	in	in	ADP
cana-1457	236	2	this	this	DET
cana-1457	236	3	section	section	NOUN
cana-1457	236	4	,	,	PUNCT
cana-1457	236	5	we	we	PRON
cana-1457	236	6	detail	detail	VERB
cana-1457	236	7	the	the	DET
cana-1457	236	8	hardware	hardware	NOUN
cana-1457	236	9	configuration	configuration	NOUN
cana-1457	236	10	,	,	PUNCT
cana-1457	236	11	sensor	sensor	NOUN
cana-1457	236	12	integration	integration	NOUN
cana-1457	236	13	,	,	PUNCT
cana-1457	236	14	data	data	NOUN
cana-1457	236	15	acquisition	acquisition	NOUN
cana-1457	236	16	,	,	PUNCT
cana-1457	236	17	and	and	CCONJ
cana-1457	236	18	wireless	wireless	ADJ
cana-1457	236	19	transmission	transmission	NOUN
cana-1457	236	20	protocols	protocol	NOUN
cana-1457	236	21	.	.	PUNCT
cana-1457	237	1	the	the	DET
cana-1457	237	2	data	data	NOUN
cana-1457	237	3	is	be	AUX
cana-1457	237	4	gathered	gather	VERB
cana-1457	237	5	continuously	continuously	ADV
cana-1457	237	6	from	from	ADP
cana-1457	237	7	temperature	temperature	NOUN
cana-1457	237	8	,	,	PUNCT
cana-1457	237	9	humidity	humidity	NOUN
cana-1457	237	10	,	,	PUNCT
cana-1457	237	11	and	and	CCONJ
cana-1457	237	12	moisture	moisture	NOUN
cana-1457	237	13	sensors	sensor	NOUN
cana-1457	237	14	,	,	PUNCT
cana-1457	237	15	transmitted	transmit	VERB
cana-1457	237	16	to	to	ADP
cana-1457	237	17	a	a	DET
cana-1457	237	18	cloud	cloud	NOUN
cana-1457	237	19	-	-	PUNCT
cana-1457	237	20	based	base	VERB
cana-1457	237	21	platform	platform	NOUN
cana-1457	237	22	via	via	ADP
cana-1457	237	23	a	a	DET
cana-1457	237	24	wi	wi	PROPN
cana-1457	237	25	-	-	PUNCT
cana-1457	237	26	fi	fi	NOUN
cana-1457	237	27	-	-	ADJ
cana-1457	237	28	enabled	enable	VERB
cana-1457	237	29	microcontroller	microcontroller	NOUN
cana-1457	237	30	,	,	PUNCT
cana-1457	237	31	and	and	CCONJ
cana-1457	237	32	processed	process	VERB
cana-1457	237	33	to	to	PART
cana-1457	237	34	remove	remove	VERB
cana-1457	237	35	noise	noise	NOUN
cana-1457	237	36	and	and	CCONJ
cana-1457	237	37	standardize	standardize	VERB
cana-1457	237	38	the	the	DET
cana-1457	237	39	readings	reading	NOUN
cana-1457	237	40	for	for	ADP
cana-1457	237	41	machine	machine	NOUN
cana-1457	237	42	learning	learn	VERB
cana-1457	237	43	analysis	analysis	NOUN
cana-1457	237	44	.	.	PUNCT
cana-1457	238	1	this	this	DET
cana-1457	238	2	end	end	ADJ
cana-1457	238	3	-	-	PUNCT
cana-1457	238	4	toend	toend	NOUN
cana-1457	238	5	setup	setup	NOUN
cana-1457	238	6	is	be	AUX
cana-1457	238	7	designed	design	VERB
cana-1457	238	8	to	to	PART
cana-1457	238	9	provide	provide	VERB
cana-1457	238	10	tea	tea	NOUN
cana-1457	238	11	producers	producer	NOUN
cana-1457	238	12	with	with	ADP
cana-1457	238	13	real	real	ADJ
cana-1457	238	14	-	-	PUNCT
cana-1457	238	15	time	time	NOUN
cana-1457	238	16	insights	insight	NOUN
cana-1457	238	17	into	into	ADP
cana-1457	238	18	the	the	DET
cana-1457	238	19	withering	wither	VERB
cana-1457	238	20	process	process	NOUN
cana-1457	238	21	,	,	PUNCT
cana-1457	238	22	enabling	enable	VERB
cana-1457	238	23	them	they	PRON
cana-1457	238	24	to	to	PART
cana-1457	238	25	make	make	VERB
cana-1457	238	26	informed	informed	ADJ
cana-1457	238	27	adjustments	adjustment	NOUN
cana-1457	238	28	to	to	PART
cana-1457	238	29	optimize	optimize	VERB
cana-1457	238	30	the	the	DET
cana-1457	238	31	tea	tea	NOUN
cana-1457	238	32	quality	quality	NOUN
cana-1457	238	33	.	.	PUNCT
cana-1457	239	1	4.2.1	4.2.1	NUM
cana-1457	239	2	hardware	hardware	NOUN
cana-1457	239	3	configuration	configuration	NOUN
cana-1457	239	4	at	at	ADP
cana-1457	239	5	the	the	DET
cana-1457	239	6	core	core	NOUN
cana-1457	239	7	of	of	ADP
cana-1457	239	8	the	the	DET
cana-1457	239	9	iot	iot	NOUN
cana-1457	239	10	setup	setup	NOUN
cana-1457	239	11	is	be	AUX
cana-1457	239	12	the	the	DET
cana-1457	239	13	esp32	esp32	ADJ
cana-1457	239	14	microcontroller	microcontroller	NOUN
cana-1457	239	15	,	,	PUNCT
cana-1457	239	16	which	which	PRON
cana-1457	239	17	acts	act	VERB
cana-1457	239	18	as	as	ADP
cana-1457	239	19	a	a	DET
cana-1457	239	20	central	central	ADJ
cana-1457	239	21	node	node	NOUN
cana-1457	239	22	for	for	ADP
cana-1457	239	23	the	the	DET
cana-1457	239	24	sensor	sensor	NOUN
cana-1457	239	25	network	network	NOUN
cana-1457	239	26	.	.	PUNCT
cana-1457	240	1	the	the	DET
cana-1457	240	2	dht22	dht22	PROPN
cana-1457	240	3	sensor	sensor	NOUN
cana-1457	240	4	is	be	AUX
cana-1457	240	5	responsible	responsible	ADJ
cana-1457	240	6	for	for	ADP
cana-1457	240	7	monitoring	monitor	VERB
cana-1457	240	8	both	both	CCONJ
cana-1457	240	9	the	the	DET
cana-1457	240	10	temperature	temperature	NOUN
cana-1457	240	11	and	and	CCONJ
cana-1457	240	12	humidity	humidity	NOUN
cana-1457	240	13	of	of	ADP
cana-1457	240	14	the	the	DET
cana-1457	240	15	environment	environment	NOUN
cana-1457	240	16	,	,	PUNCT
cana-1457	240	17	while	while	SCONJ
cana-1457	240	18	a	a	DET
cana-1457	240	19	capacitive	capacitive	ADJ
cana-1457	240	20	soil	soil	NOUN
cana-1457	240	21	moisture	moisture	NOUN
cana-1457	240	22	sensor	sensor	NOUN
cana-1457	240	23	is	be	AUX
cana-1457	240	24	used	use	VERB
cana-1457	240	25	to	to	PART
cana-1457	240	26	monitor	monitor	VERB
cana-1457	240	27	the	the	DET
cana-1457	240	28	moisture	moisture	NOUN
cana-1457	240	29	content	content	NOUN
cana-1457	240	30	of	of	ADP
cana-1457	240	31	the	the	DET
cana-1457	240	32	tea	tea	NOUN
cana-1457	240	33	leaves	leave	NOUN
cana-1457	240	34	.	.	PUNCT
cana-1457	241	1	these	these	DET
cana-1457	241	2	sensors	sensor	NOUN
cana-1457	241	3	are	be	AUX
cana-1457	241	4	directly	directly	ADV
cana-1457	241	5	connected	connect	VERB
cana-1457	241	6	to	to	ADP
cana-1457	241	7	the	the	DET
cana-1457	241	8	microcontroller	microcontroller	NOUN
cana-1457	241	9	through	through	ADP
cana-1457	241	10	both	both	CCONJ
cana-1457	241	11	analog	analog	NOUN
cana-1457	241	12	and	and	CCONJ
cana-1457	241	13	digital	digital	ADJ
cana-1457	241	14	pins	pin	NOUN
cana-1457	241	15	.	.	PUNCT
cana-1457	242	1	the	the	DET
cana-1457	242	2	microcontroller	microcontroller	NOUN
cana-1457	242	3	continuously	continuously	ADV
cana-1457	242	4	samples	sample	VERB
cana-1457	242	5	the	the	DET
cana-1457	242	6	data	datum	NOUN
cana-1457	242	7	from	from	ADP
cana-1457	242	8	the	the	DET
cana-1457	242	9	sensors	sensor	NOUN
cana-1457	242	10	at	at	ADP
cana-1457	242	11	predefined	predefine	VERB
cana-1457	242	12	intervals	interval	NOUN
cana-1457	242	13	,	,	PUNCT
cana-1457	242	14	denoted	denote	VERB
cana-1457	242	15	as	as	ADP
cana-1457	242	16	δ𝑡	δ𝑡	NOUN
cana-1457	242	17	,	,	PUNCT
cana-1457	242	18	which	which	PRON
cana-1457	242	19	is	be	AUX
cana-1457	242	20	small	small	ADJ
cana-1457	242	21	enough	enough	ADV
cana-1457	242	22	to	to	PART
cana-1457	242	23	ensure	ensure	VERB
cana-1457	242	24	that	that	SCONJ
cana-1457	242	25	the	the	DET
cana-1457	242	26	dynamic	dynamic	ADJ
cana-1457	242	27	fluctuations	fluctuation	NOUN
cana-1457	242	28	in	in	ADP
cana-1457	242	29	environmental	environmental	ADJ
cana-1457	242	30	conditions	condition	NOUN
cana-1457	242	31	are	be	AUX
cana-1457	242	32	captured	capture	VERB
cana-1457	242	33	.	.	PUNCT
cana-1457	243	1	the	the	DET
cana-1457	243	2	sensor	sensor	NOUN
cana-1457	243	3	readings	reading	VERB
cana-1457	243	4	at	at	ADP
cana-1457	243	5	each	each	DET
cana-1457	243	6	time	time	NOUN
cana-1457	243	7	step	step	NOUN
cana-1457	243	8	are	be	AUX
cana-1457	243	9	denoted	denote	VERB
cana-1457	243	10	as	as	ADP
cana-1457	243	11	:	:	PUNCT
cana-1457	243	12	𝑆(𝑡	𝑆(𝑡	NUM
cana-1457	243	13	)	)	PUNCT
cana-1457	243	14	=	=	PUNCT
cana-1457	244	1	[	[	X
cana-1457	244	2	𝑇(𝑡	𝑇(𝑡	X
cana-1457	244	3	)	)	PUNCT
cana-1457	244	4	,	,	PUNCT
cana-1457	244	5	𝐻(𝑡	𝐻(𝑡	NOUN
cana-1457	244	6	)	)	PUNCT
cana-1457	244	7	,	,	PUNCT
cana-1457	244	8	𝑀(𝑡)]⊤	𝑀(𝑡)]⊤	NOUN
cana-1457	244	9	communications	communication	NOUN
cana-1457	244	10	on	on	ADP
cana-1457	244	11	applied	apply	VERB
cana-1457	244	12	nonlinear	nonlinear	ADJ
cana-1457	244	13	analysis	analysis	NOUN
cana-1457	244	14	issn	issn	NOUN
cana-1457	244	15	:	:	PUNCT
cana-1457	244	16	1074	1074	NUM
cana-1457	244	17	-	-	PUNCT
cana-1457	244	18	133x	133x	NUM
cana-1457	244	19	vol	vol	NOUN
cana-1457	244	20	31	31	NUM
cana-1457	244	21	no	no	NOUN
cana-1457	244	22	.	.	PUNCT
cana-1457	245	1	8s	8s	PROPN
cana-1457	245	2	(	(	PUNCT
cana-1457	245	3	2024	2024	NUM
cana-1457	245	4	)	)	PUNCT
cana-1457	245	5	68	68	NUM
cana-1457	245	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	245	7	where	where	SCONJ
cana-1457	245	8	𝑇(𝑡	𝑇(𝑡	VERB
cana-1457	245	9	)	)	PUNCT
cana-1457	245	10	,	,	PUNCT
cana-1457	245	11	𝐻(𝑡	𝐻(𝑡	NOUN
cana-1457	245	12	)	)	PUNCT
cana-1457	245	13	,	,	PUNCT
cana-1457	245	14	and	and	CCONJ
cana-1457	245	15	𝑀(𝑡	𝑀(𝑡	NUM
cana-1457	245	16	)	)	PUNCT
cana-1457	245	17	represent	represent	VERB
cana-1457	245	18	the	the	DET
cana-1457	245	19	temperature	temperature	NOUN
cana-1457	245	20	,	,	PUNCT
cana-1457	245	21	humidity	humidity	NOUN
cana-1457	245	22	,	,	PUNCT
cana-1457	245	23	and	and	CCONJ
cana-1457	245	24	moisture	moisture	NOUN
cana-1457	245	25	content	content	NOUN
cana-1457	245	26	,	,	PUNCT
cana-1457	245	27	respectively	respectively	ADV
cana-1457	245	28	,	,	PUNCT
cana-1457	245	29	at	at	ADP
cana-1457	245	30	time	time	NOUN
cana-1457	245	31	𝑡.	𝑡.	VERB
cana-1457	245	32	the	the	DET
cana-1457	245	33	data	datum	NOUN
cana-1457	245	34	is	be	AUX
cana-1457	245	35	sampled	sample	VERB
cana-1457	245	36	at	at	ADP
cana-1457	245	37	regular	regular	ADJ
cana-1457	245	38	intervals	interval	NOUN
cana-1457	245	39	,	,	PUNCT
cana-1457	245	40	with	with	ADP
cana-1457	245	41	a	a	DET
cana-1457	245	42	sampling	sample	VERB
cana-1457	245	43	frequency	frequency	NOUN
cana-1457	245	44	of	of	ADP
cana-1457	245	45	hz	hz	NOUN
cana-1457	245	46	,	,	PUNCT
cana-1457	245	47	resulting	result	VERB
cana-1457	245	48	in	in	ADP
cana-1457	245	49	a	a	DET
cana-1457	245	50	time	time	NOUN
cana-1457	245	51	series	series	NOUN
cana-1457	245	52	of	of	ADP
cana-1457	245	53	sensor	sensor	NOUN
cana-1457	245	54	readings	reading	NOUN
cana-1457	245	55	:	:	PUNCT
cana-1457	245	56	𝑆	𝑆	PROPN
cana-1457	245	57	=	=	SYM
cana-1457	245	58	{	{	PUNCT
cana-1457	245	59	𝑆(1	𝑆(1	NOUN
cana-1457	245	60	)	)	PUNCT
cana-1457	245	61	,	,	PUNCT
cana-1457	245	62	𝑆(2	𝑆(2	NUM
cana-1457	245	63	)	)	PUNCT
cana-1457	245	64	,	,	PUNCT
cana-1457	245	65	…	…	PUNCT
cana-1457	245	66	,	,	PUNCT
cana-1457	245	67	𝑆(𝑁	𝑆(𝑁	NOUN
cana-1457	245	68	)	)	PUNCT
cana-1457	245	69	}	}	PUNCT
cana-1457	245	70	where	where	SCONJ
cana-1457	245	71	nn	nn	PROPN
cana-1457	245	72	represents	represent	VERB
cana-1457	245	73	the	the	DET
cana-1457	245	74	total	total	ADJ
cana-1457	245	75	number	number	NOUN
cana-1457	245	76	of	of	ADP
cana-1457	245	77	samples	sample	NOUN
cana-1457	245	78	collected	collect	VERB
cana-1457	245	79	during	during	ADP
cana-1457	245	80	the	the	DET
cana-1457	245	81	withering	wither	VERB
cana-1457	245	82	process	process	NOUN
cana-1457	245	83	.	.	PUNCT
cana-1457	246	1	the	the	DET
cana-1457	246	2	esp32	esp32	ADJ
cana-1457	246	3	microcontroller	microcontroller	NOUN
cana-1457	246	4	is	be	AUX
cana-1457	246	5	selected	select	VERB
cana-1457	246	6	due	due	ADP
cana-1457	246	7	to	to	ADP
cana-1457	246	8	its	its	PRON
cana-1457	246	9	low	low	ADJ
cana-1457	246	10	power	power	NOUN
cana-1457	246	11	consumption	consumption	NOUN
cana-1457	246	12	,	,	PUNCT
cana-1457	246	13	integrated	integrate	VERB
cana-1457	246	14	wi	wi	PROPN
cana-1457	246	15	-	-	PUNCT
cana-1457	246	16	fi	fi	NOUN
cana-1457	246	17	module	module	NOUN
cana-1457	246	18	,	,	PUNCT
cana-1457	246	19	and	and	CCONJ
cana-1457	246	20	dual	dual	ADJ
cana-1457	246	21	-	-	PUNCT
cana-1457	246	22	core	core	NOUN
cana-1457	246	23	processing	processing	NOUN
cana-1457	246	24	capabilities	capability	NOUN
cana-1457	246	25	,	,	PUNCT
cana-1457	246	26	which	which	PRON
cana-1457	246	27	allow	allow	VERB
cana-1457	246	28	it	it	PRON
cana-1457	246	29	to	to	PART
cana-1457	246	30	handle	handle	VERB
cana-1457	246	31	multiple	multiple	ADJ
cana-1457	246	32	tasks	task	NOUN
cana-1457	246	33	simultaneously	simultaneously	ADV
cana-1457	246	34	,	,	PUNCT
cana-1457	246	35	including	include	VERB
cana-1457	246	36	sensor	sensor	NOUN
cana-1457	246	37	data	data	NOUN
cana-1457	246	38	acquisition	acquisition	NOUN
cana-1457	246	39	and	and	CCONJ
cana-1457	246	40	wireless	wireless	ADJ
cana-1457	246	41	data	data	NOUN
cana-1457	246	42	transmission	transmission	NOUN
cana-1457	246	43	.	.	PUNCT
cana-1457	247	1	the	the	DET
cana-1457	247	2	dht22	dht22	PROPN
cana-1457	247	3	sensor	sensor	NOUN
cana-1457	247	4	operates	operate	VERB
cana-1457	247	5	on	on	ADP
cana-1457	247	6	a	a	DET
cana-1457	247	7	digital	digital	ADJ
cana-1457	247	8	protocol	protocol	NOUN
cana-1457	247	9	,	,	PUNCT
cana-1457	247	10	sending	send	VERB
cana-1457	247	11	temperature	temperature	NOUN
cana-1457	247	12	and	and	CCONJ
cana-1457	247	13	humidity	humidity	NOUN
cana-1457	247	14	data	datum	NOUN
cana-1457	247	15	as	as	ADP
cana-1457	247	16	a	a	DET
cana-1457	247	17	40	40	NUM
cana-1457	247	18	-	-	PUNCT
cana-1457	247	19	bit	bit	NOUN
cana-1457	247	20	signal	signal	NOUN
cana-1457	247	21	that	that	PRON
cana-1457	247	22	includes	include	VERB
cana-1457	247	23	checksum	checksum	ADJ
cana-1457	247	24	validation	validation	NOUN
cana-1457	247	25	for	for	ADP
cana-1457	247	26	accuracy	accuracy	NOUN
cana-1457	247	27	.	.	PUNCT
cana-1457	248	1	the	the	DET
cana-1457	248	2	moisture	moisture	NOUN
cana-1457	248	3	sensor	sensor	NOUN
cana-1457	248	4	operates	operate	VERB
cana-1457	248	5	via	via	ADP
cana-1457	248	6	an	an	DET
cana-1457	248	7	analog	analog	NOUN
cana-1457	248	8	interface	interface	NOUN
cana-1457	248	9	,	,	PUNCT
cana-1457	248	10	providing	provide	VERB
cana-1457	248	11	a	a	DET
cana-1457	248	12	continuous	continuous	ADJ
cana-1457	248	13	voltage	voltage	NOUN
cana-1457	248	14	level	level	NOUN
cana-1457	248	15	proportional	proportional	NOUN
cana-1457	248	16	to	to	ADP
cana-1457	248	17	the	the	DET
cana-1457	248	18	moisture	moisture	NOUN
cana-1457	248	19	content	content	NOUN
cana-1457	248	20	of	of	ADP
cana-1457	248	21	the	the	DET
cana-1457	248	22	tea	tea	NOUN
cana-1457	248	23	leaves	leave	NOUN
cana-1457	248	24	.	.	PUNCT
cana-1457	249	1	the	the	DET
cana-1457	249	2	voltage	voltage	NOUN
cana-1457	249	3	signal	signal	NOUN
cana-1457	249	4	from	from	ADP
cana-1457	249	5	the	the	DET
cana-1457	249	6	moisture	moisture	NOUN
cana-1457	249	7	sensor	sensor	NOUN
cana-1457	249	8	is	be	AUX
cana-1457	249	9	sampled	sample	VERB
cana-1457	249	10	by	by	ADP
cana-1457	249	11	the	the	DET
cana-1457	249	12	analog	analog	NOUN
cana-1457	249	13	-	-	PUNCT
cana-1457	249	14	to	to	ADP
cana-1457	249	15	-	-	PUNCT
cana-1457	249	16	digital	digital	ADJ
cana-1457	249	17	converter	converter	NOUN
cana-1457	249	18	(	(	PUNCT
cana-1457	249	19	adc	adc	PROPN
cana-1457	249	20	)	)	PUNCT
cana-1457	249	21	embedded	embed	VERB
cana-1457	249	22	in	in	ADP
cana-1457	249	23	the	the	DET
cana-1457	249	24	esp32	esp32	NOUN
cana-1457	249	25	,	,	PUNCT
cana-1457	249	26	which	which	PRON
cana-1457	249	27	converts	convert	VERB
cana-1457	249	28	the	the	DET
cana-1457	249	29	analog	analog	NOUN
cana-1457	249	30	voltage	voltage	NOUN
cana-1457	249	31	into	into	ADP
cana-1457	249	32	a	a	DET
cana-1457	249	33	digital	digital	ADJ
cana-1457	249	34	value	value	NOUN
cana-1457	249	35	:	:	PUNCT
cana-1457	249	36	𝑀digital(𝑡	𝑀digital(𝑡	X
cana-1457	249	37	)	)	PUNCT
cana-1457	250	1	=	=	SYM
cana-1457	250	2	𝑉sensor(𝑡	𝑉sensor(𝑡	NOUN
cana-1457	250	3	)	)	PUNCT
cana-1457	250	4	𝑉reference	𝑉reference	PROPN
cana-1457	250	5	×	×	NOUN
cana-1457	250	6	2𝑛adc	2𝑛adc	NUM
cana-1457	250	7	where	where	SCONJ
cana-1457	250	8	𝑉sensor(𝑡	𝑉sensor(𝑡	NOUN
cana-1457	250	9	)	)	PUNCT
cana-1457	250	10	is	be	AUX
cana-1457	250	11	the	the	DET
cana-1457	250	12	voltage	voltage	NOUN
cana-1457	250	13	from	from	ADP
cana-1457	250	14	the	the	DET
cana-1457	250	15	moisture	moisture	NOUN
cana-1457	250	16	sensor	sensor	NOUN
cana-1457	250	17	at	at	ADP
cana-1457	250	18	time	time	NOUN
cana-1457	250	19	(	(	PUNCT
cana-1457	250	20	𝑡	𝑡	NOUN
cana-1457	250	21	)	)	PUNCT
cana-1457	250	22	,	,	PUNCT
cana-1457	250	23	𝑉reference	𝑉reference	PROPN
cana-1457	250	24	is	be	AUX
cana-1457	250	25	the	the	DET
cana-1457	250	26	reference	reference	NOUN
cana-1457	250	27	voltage	voltage	NOUN
cana-1457	250	28	(	(	PUNCT
cana-1457	250	29	typically	typically	ADV
cana-1457	250	30	3.3v	3.3v	NUM
cana-1457	250	31	)	)	PUNCT
cana-1457	250	32	,	,	PUNCT
cana-1457	250	33	and	and	CCONJ
cana-1457	250	34	2𝑛adc	2𝑛adc	NUM
cana-1457	250	35	represents	represent	VERB
cana-1457	250	36	the	the	DET
cana-1457	250	37	resolution	resolution	NOUN
cana-1457	250	38	of	of	ADP
cana-1457	250	39	the	the	DET
cana-1457	250	40	adc	adc	PROPN
cana-1457	250	41	(	(	PUNCT
cana-1457	250	42	12	12	NUM
cana-1457	250	43	bits	bit	NOUN
cana-1457	250	44	for	for	ADP
cana-1457	250	45	the	the	DET
cana-1457	250	46	esp32	esp32	NOUN
cana-1457	250	47	)	)	PUNCT
cana-1457	250	48	.	.	PUNCT
cana-1457	251	1	4.2.2	4.2.2	NUM
cana-1457	251	2	wireless	wireless	ADJ
cana-1457	251	3	data	data	NOUN
cana-1457	251	4	transmission	transmission	NOUN
cana-1457	251	5	once	once	SCONJ
cana-1457	251	6	the	the	DET
cana-1457	251	7	sensor	sensor	NOUN
cana-1457	251	8	data	datum	NOUN
cana-1457	251	9	is	be	AUX
cana-1457	251	10	acquired	acquire	VERB
cana-1457	251	11	and	and	CCONJ
cana-1457	251	12	processed	process	VERB
cana-1457	251	13	by	by	ADP
cana-1457	251	14	the	the	DET
cana-1457	251	15	microcontroller	microcontroller	NOUN
cana-1457	251	16	,	,	PUNCT
cana-1457	251	17	it	it	PRON
cana-1457	251	18	is	be	AUX
cana-1457	251	19	transmitted	transmit	VERB
cana-1457	251	20	to	to	ADP
cana-1457	251	21	a	a	DET
cana-1457	251	22	cloudbased	cloudbase	VERB
cana-1457	251	23	server	server	NOUN
cana-1457	251	24	for	for	ADP
cana-1457	251	25	storage	storage	NOUN
cana-1457	251	26	and	and	CCONJ
cana-1457	251	27	analysis	analysis	NOUN
cana-1457	251	28	.	.	PUNCT
cana-1457	252	1	the	the	DET
cana-1457	252	2	wi	wi	PROPN
cana-1457	252	3	-	-	PUNCT
cana-1457	252	4	fi	fi	NOUN
cana-1457	252	5	module	module	NOUN
cana-1457	252	6	integrated	integrate	VERB
cana-1457	252	7	into	into	ADP
cana-1457	252	8	the	the	DET
cana-1457	252	9	esp32	esp32	ADV
cana-1457	252	10	allows	allow	NOUN
cana-1457	252	11	for	for	ADP
cana-1457	252	12	wireless	wireless	ADJ
cana-1457	252	13	data	data	NOUN
cana-1457	252	14	transmission	transmission	NOUN
cana-1457	252	15	over	over	ADP
cana-1457	252	16	the	the	DET
cana-1457	252	17	local	local	ADJ
cana-1457	252	18	network	network	NOUN
cana-1457	252	19	,	,	PUNCT
cana-1457	252	20	eliminating	eliminate	VERB
cana-1457	252	21	the	the	DET
cana-1457	252	22	need	need	NOUN
cana-1457	252	23	for	for	ADP
cana-1457	252	24	physical	physical	ADJ
cana-1457	252	25	connections	connection	NOUN
cana-1457	252	26	between	between	ADP
cana-1457	252	27	the	the	DET
cana-1457	252	28	sensors	sensor	NOUN
cana-1457	252	29	and	and	CCONJ
cana-1457	252	30	the	the	DET
cana-1457	252	31	cloud	cloud	NOUN
cana-1457	252	32	infrastructure	infrastructure	NOUN
cana-1457	252	33	.	.	PUNCT
cana-1457	253	1	the	the	DET
cana-1457	253	2	transmission	transmission	NOUN
cana-1457	253	3	process	process	NOUN
cana-1457	253	4	is	be	AUX
cana-1457	253	5	initiated	initiate	VERB
cana-1457	253	6	after	after	ADP
cana-1457	253	7	each	each	DET
cana-1457	253	8	sampling	sample	VERB
cana-1457	253	9	interval	interval	NOUN
cana-1457	253	10	δ𝑡	δ𝑡	NOUN
cana-1457	253	11	,	,	PUNCT
cana-1457	253	12	ensuring	ensure	VERB
cana-1457	253	13	that	that	SCONJ
cana-1457	253	14	the	the	DET
cana-1457	253	15	sensor	sensor	NOUN
cana-1457	253	16	readings	reading	NOUN
cana-1457	253	17	are	be	AUX
cana-1457	253	18	sent	send	VERB
cana-1457	253	19	to	to	ADP
cana-1457	253	20	the	the	DET
cana-1457	253	21	cloud	cloud	NOUN
cana-1457	253	22	in	in	ADP
cana-1457	253	23	real	real	ADJ
cana-1457	253	24	time	time	NOUN
cana-1457	253	25	.	.	PUNCT
cana-1457	254	1	the	the	DET
cana-1457	254	2	data	data	NOUN
cana-1457	254	3	packet	packet	NOUN
cana-1457	254	4	transmitted	transmit	VERB
cana-1457	254	5	at	at	ADP
cana-1457	254	6	each	each	DET
cana-1457	254	7	interval	interval	NOUN
cana-1457	254	8	includes	include	VERB
cana-1457	254	9	the	the	DET
cana-1457	254	10	timestamp	timestamp	NOUN
cana-1457	254	11	tt	tt	PROPN
cana-1457	254	12	and	and	CCONJ
cana-1457	254	13	the	the	DET
cana-1457	254	14	sensor	sensor	NOUN
cana-1457	254	15	readings	reading	NOUN
cana-1457	254	16	𝑆(𝑡	𝑆(𝑡	NUM
cana-1457	254	17	):	):	PUNCT
cana-1457	254	18	𝑃(𝑡	𝑃(𝑡	NUM
cana-1457	254	19	)	)	PUNCT
cana-1457	254	20	=	=	SYM
cana-1457	254	21	{	{	PUNCT
cana-1457	254	22	𝑡	𝑡	PROPN
cana-1457	254	23	,	,	PUNCT
cana-1457	254	24	𝑇(𝑡	𝑇(𝑡	NOUN
cana-1457	254	25	)	)	PUNCT
cana-1457	254	26	,	,	PUNCT
cana-1457	254	27	𝐻(𝑡	𝐻(𝑡	NOUN
cana-1457	254	28	)	)	PUNCT
cana-1457	254	29	,	,	PUNCT
cana-1457	254	30	𝑀(𝑡	𝑀(𝑡	NUM
cana-1457	254	31	)	)	PUNCT
cana-1457	254	32	}	}	PUNCT
cana-1457	254	33	the	the	DET
cana-1457	254	34	packet	packet	NOUN
cana-1457	254	35	size	size	NOUN
cana-1457	254	36	𝑆𝑝	𝑆𝑝	PROPN
cana-1457	254	37	in	in	ADP
cana-1457	254	38	bytes	byte	NOUN
cana-1457	254	39	can	can	AUX
cana-1457	254	40	be	be	AUX
cana-1457	254	41	calculated	calculate	VERB
cana-1457	254	42	as	as	ADP
cana-1457	254	43	:	:	PUNCT
cana-1457	254	44	𝑆𝑝	𝑆𝑝	PROPN
cana-1457	254	45	=	=	SYM
cana-1457	254	46	𝑆timestamp	𝑆timestamp	PROPN
cana-1457	254	47	+	+	CCONJ
cana-1457	254	48	𝑆temperature	𝑆temperature	PROPN
cana-1457	255	1	+	+	CCONJ
cana-1457	255	2	𝑆humidity	𝑆humidity	PROPN
cana-1457	255	3	+	+	CCONJ
cana-1457	255	4	𝑆moisture	𝑆moisture	PROPN
cana-1457	255	5	where	where	SCONJ
cana-1457	255	6	𝑆timestamp	𝑆timestamp	PROPN
cana-1457	255	7	represents	represent	VERB
cana-1457	255	8	the	the	DET
cana-1457	255	9	size	size	NOUN
cana-1457	255	10	of	of	ADP
cana-1457	255	11	the	the	DET
cana-1457	255	12	timestamp	timestamp	NOUN
cana-1457	255	13	,	,	PUNCT
cana-1457	255	14	and	and	CCONJ
cana-1457	255	15	𝑆temperature	𝑆temperature	PROPN
cana-1457	255	16	,	,	PUNCT
cana-1457	255	17	𝑆humidityand	𝑆humidityand	PROPN
cana-1457	255	18	𝑆moisture	𝑆moisture	PROPN
cana-1457	255	19	represent	represent	VERB
cana-1457	255	20	the	the	DET
cana-1457	255	21	size	size	NOUN
cana-1457	255	22	of	of	ADP
cana-1457	255	23	the	the	DET
cana-1457	255	24	respective	respective	ADJ
cana-1457	255	25	sensor	sensor	NOUN
cana-1457	255	26	readings	reading	NOUN
cana-1457	255	27	.	.	PUNCT
cana-1457	256	1	the	the	DET
cana-1457	256	2	transmission	transmission	NOUN
cana-1457	256	3	latency	latency	NOUN
cana-1457	256	4	𝐿transmit	𝐿transmit	PROPN
cana-1457	256	5	is	be	AUX
cana-1457	256	6	influenced	influence	VERB
cana-1457	256	7	by	by	ADP
cana-1457	256	8	the	the	DET
cana-1457	256	9	size	size	NOUN
cana-1457	256	10	of	of	ADP
cana-1457	256	11	the	the	DET
cana-1457	256	12	packet	packet	NOUN
cana-1457	256	13	and	and	CCONJ
cana-1457	256	14	the	the	DET
cana-1457	256	15	bandwidth	bandwidth	ADJ
cana-1457	256	16	bb	bb	NOUN
cana-1457	256	17	of	of	ADP
cana-1457	256	18	the	the	DET
cana-1457	256	19	wi	wi	PROPN
cana-1457	256	20	-	-	PUNCT
cana-1457	256	21	fi	fi	NOUN
cana-1457	256	22	network	network	NOUN
cana-1457	256	23	,	,	PUNCT
cana-1457	256	24	as	as	SCONJ
cana-1457	256	25	given	give	VERB
cana-1457	256	26	by	by	ADP
cana-1457	256	27	the	the	DET
cana-1457	256	28	equation	equation	NOUN
cana-1457	256	29	:	:	PUNCT
cana-1457	256	30	𝐿transmit	𝐿transmit	PROPN
cana-1457	256	31	=	=	PUNCT
cana-1457	256	32	𝑆𝑝	𝑆𝑝	PROPN
cana-1457	256	33	𝐵	𝐵	NOUN
cana-1457	256	34	+	+	CCONJ
cana-1457	256	35	τpropagation	τpropagation	NOUN
cana-1457	256	36	+	+	CCONJ
cana-1457	256	37	τprocessing	τprocesse	VERB
cana-1457	256	38	where	where	SCONJ
cana-1457	256	39	τpropagation	τpropagation	NOUN
cana-1457	256	40	is	be	AUX
cana-1457	256	41	the	the	DET
cana-1457	256	42	propagation	propagation	NOUN
cana-1457	256	43	delay	delay	NOUN
cana-1457	256	44	and	and	CCONJ
cana-1457	256	45	τprocessing	τprocessing	NOUN
cana-1457	256	46	represents	represent	VERB
cana-1457	256	47	the	the	DET
cana-1457	256	48	processing	processing	NOUN
cana-1457	256	49	delay	delay	NOUN
cana-1457	256	50	incurred	incur	VERB
cana-1457	256	51	during	during	ADP
cana-1457	256	52	packet	packet	ADJ
cana-1457	256	53	preparation	preparation	NOUN
cana-1457	256	54	and	and	CCONJ
cana-1457	256	55	transmission	transmission	NOUN
cana-1457	256	56	.	.	PUNCT
cana-1457	257	1	4.2.3	4.2.3	NUM
cana-1457	257	2	data	datum	NOUN
cana-1457	257	3	preprocessing	preprocesse	VERB
cana-1457	257	4	once	once	ADV
cana-1457	257	5	the	the	DET
cana-1457	257	6	sensor	sensor	NOUN
cana-1457	257	7	data	datum	NOUN
cana-1457	257	8	reaches	reach	VERB
cana-1457	257	9	the	the	DET
cana-1457	257	10	cloud	cloud	NOUN
cana-1457	257	11	,	,	PUNCT
cana-1457	257	12	it	it	PRON
cana-1457	257	13	undergoes	undergo	VERB
cana-1457	257	14	a	a	DET
cana-1457	257	15	series	series	NOUN
cana-1457	257	16	of	of	ADP
cana-1457	257	17	preprocessing	preprocesse	VERB
cana-1457	257	18	steps	step	NOUN
cana-1457	257	19	to	to	PART
cana-1457	257	20	ensure	ensure	VERB
cana-1457	257	21	that	that	SCONJ
cana-1457	257	22	the	the	DET
cana-1457	257	23	data	data	NOUN
cana-1457	257	24	is	be	AUX
cana-1457	257	25	clean	clean	ADJ
cana-1457	257	26	and	and	CCONJ
cana-1457	257	27	ready	ready	ADJ
cana-1457	257	28	for	for	ADP
cana-1457	257	29	analysis	analysis	NOUN
cana-1457	257	30	.	.	PUNCT
cana-1457	258	1	preprocessing	preprocessing	NOUN
cana-1457	258	2	involves	involve	VERB
cana-1457	258	3	outlier	outlier	NOUN
cana-1457	258	4	detection	detection	NOUN
cana-1457	258	5	,	,	PUNCT
cana-1457	258	6	missing	miss	VERB
cana-1457	258	7	value	value	NOUN
cana-1457	258	8	handling	handling	NOUN
cana-1457	258	9	,	,	PUNCT
cana-1457	258	10	and	and	CCONJ
cana-1457	258	11	feature	feature	VERB
cana-1457	258	12	scaling	scaling	NOUN
cana-1457	258	13	.	.	PUNCT
cana-1457	259	1	the	the	DET
cana-1457	259	2	raw	raw	ADJ
cana-1457	259	3	data	datum	NOUN
cana-1457	259	4	,	,	PUNCT
cana-1457	259	5	denoted	denote	VERB
cana-1457	259	6	as	as	ADP
cana-1457	259	7	𝑆𝑟𝑎𝑤	𝑆𝑟𝑎𝑤	PROPN
cana-1457	259	8	,	,	PUNCT
cana-1457	259	9	often	often	ADV
cana-1457	259	10	contains	contain	VERB
cana-1457	259	11	outliers	outlier	NOUN
cana-1457	259	12	due	due	ADJ
cana-1457	259	13	to	to	ADP
cana-1457	259	14	sensor	sensor	NOUN
cana-1457	259	15	noise	noise	NOUN
cana-1457	259	16	or	or	CCONJ
cana-1457	259	17	transient	transient	ADJ
cana-1457	259	18	environmental	environmental	ADJ
cana-1457	259	19	conditions	condition	NOUN
cana-1457	259	20	.	.	PUNCT
cana-1457	260	1	outliers	outlier	NOUN
cana-1457	260	2	are	be	AUX
cana-1457	260	3	detected	detect	VERB
cana-1457	260	4	using	use	VERB
cana-1457	260	5	a	a	DET
cana-1457	260	6	combination	combination	NOUN
cana-1457	260	7	of	of	ADP
cana-1457	260	8	statistical	statistical	ADJ
cana-1457	260	9	methods	method	NOUN
cana-1457	260	10	such	such	ADJ
cana-1457	260	11	as	as	ADP
cana-1457	260	12	the	the	DET
cana-1457	260	13	z	z	NOUN
cana-1457	260	14	-	-	PUNCT
cana-1457	260	15	score	score	NOUN
cana-1457	260	16	:	:	PUNCT
cana-1457	260	17	communications	communication	NOUN
cana-1457	260	18	on	on	ADP
cana-1457	260	19	applied	apply	VERB
cana-1457	260	20	nonlinear	nonlinear	ADJ
cana-1457	260	21	analysis	analysis	NOUN
cana-1457	260	22	issn	issn	NOUN
cana-1457	260	23	:	:	PUNCT
cana-1457	260	24	1074	1074	NUM
cana-1457	260	25	-	-	PUNCT
cana-1457	260	26	133x	133x	NUM
cana-1457	260	27	vol	vol	NOUN
cana-1457	260	28	31	31	NUM
cana-1457	260	29	no	no	NOUN
cana-1457	260	30	.	.	PUNCT
cana-1457	261	1	8s	8s	PROPN
cana-1457	261	2	(	(	PUNCT
cana-1457	261	3	2024	2024	NUM
cana-1457	261	4	)	)	PUNCT
cana-1457	261	5	69	69	NUM
cana-1457	261	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	262	1	𝑍𝑖	𝑍𝑖	PROPN
cana-1457	262	2	=	=	SYM
cana-1457	262	3	𝑆𝑖	𝑆𝑖	PROPN
cana-1457	262	4	−	−	NOUN
cana-1457	263	1	μ𝑆	μ𝑆	PROPN
cana-1457	263	2	σ𝑆	σ𝑆	NOUN
cana-1457	263	3	where	where	SCONJ
cana-1457	263	4	𝑆𝑖	𝑆𝑖	PROPN
cana-1457	263	5	is	be	AUX
cana-1457	263	6	the	the	DET
cana-1457	263	7	ith	ith	PROPN
cana-1457	263	8	sensor	sensor	NOUN
cana-1457	263	9	reading	reading	NOUN
cana-1457	263	10	,	,	PUNCT
cana-1457	263	11	μ𝑆	μ𝑆	PROPN
cana-1457	263	12	is	be	AUX
cana-1457	263	13	the	the	DET
cana-1457	263	14	mean	mean	NOUN
cana-1457	263	15	,	,	PUNCT
cana-1457	263	16	and	and	CCONJ
cana-1457	263	17	σ𝑆	σ𝑆	PROPN
cana-1457	263	18	is	be	AUX
cana-1457	263	19	the	the	DET
cana-1457	263	20	standard	standard	ADJ
cana-1457	263	21	deviation	deviation	NOUN
cana-1457	263	22	.	.	PUNCT
cana-1457	264	1	any	any	DET
cana-1457	264	2	data	data	NOUN
cana-1457	264	3	point	point	NOUN
cana-1457	264	4	with	with	ADP
cana-1457	264	5	∣𝑍𝑖∣>3	∣𝑍𝑖∣>3	NOUN
cana-1457	264	6	is	be	AUX
cana-1457	264	7	considered	consider	VERB
cana-1457	264	8	an	an	DET
cana-1457	264	9	outlier	outlier	NOUN
cana-1457	264	10	and	and	CCONJ
cana-1457	264	11	is	be	AUX
cana-1457	264	12	either	either	CCONJ
cana-1457	264	13	removed	remove	VERB
cana-1457	264	14	or	or	CCONJ
cana-1457	264	15	replaced	replace	VERB
cana-1457	264	16	using	use	VERB
cana-1457	264	17	interpolation	interpolation	NOUN
cana-1457	264	18	.	.	PUNCT
cana-1457	265	1	next	next	ADJ
cana-1457	265	2	,	,	PUNCT
cana-1457	265	3	missing	miss	VERB
cana-1457	265	4	values	value	NOUN
cana-1457	265	5	in	in	ADP
cana-1457	265	6	the	the	DET
cana-1457	265	7	sensor	sensor	NOUN
cana-1457	265	8	data	datum	NOUN
cana-1457	265	9	are	be	AUX
cana-1457	265	10	handled	handle	VERB
cana-1457	265	11	using	use	VERB
cana-1457	265	12	linear	linear	ADJ
cana-1457	265	13	interpolation	interpolation	NOUN
cana-1457	265	14	,	,	PUNCT
cana-1457	265	15	which	which	PRON
cana-1457	265	16	fills	fill	VERB
cana-1457	265	17	in	in	ADP
cana-1457	265	18	gaps	gap	NOUN
cana-1457	265	19	by	by	ADP
cana-1457	265	20	computing	compute	VERB
cana-1457	265	21	intermediate	intermediate	ADJ
cana-1457	265	22	values	value	NOUN
cana-1457	265	23	between	between	ADP
cana-1457	265	24	known	know	VERB
cana-1457	265	25	data	data	NOUN
cana-1457	265	26	points	point	NOUN
cana-1457	265	27	.	.	PUNCT
cana-1457	266	1	if	if	SCONJ
cana-1457	266	2	a	a	DET
cana-1457	266	3	sensor	sensor	NOUN
cana-1457	266	4	reading	reading	NOUN
cana-1457	266	5	is	be	AUX
cana-1457	266	6	missing	miss	VERB
cana-1457	266	7	at	at	ADP
cana-1457	266	8	time	time	NOUN
cana-1457	266	9	𝑡	𝑡	NOUN
cana-1457	266	10	,	,	PUNCT
cana-1457	266	11	its	its	PRON
cana-1457	266	12	value	value	NOUN
cana-1457	266	13	is	be	AUX
cana-1457	266	14	estimated	estimate	VERB
cana-1457	266	15	as	as	ADP
cana-1457	266	16	:	:	PUNCT
cana-1457	266	17	𝑆missing(𝑡	𝑆missing(𝑡	NOUN
cana-1457	266	18	)	)	PUNCT
cana-1457	266	19	=	=	PUNCT
cana-1457	267	1	𝑆(𝑡	𝑆(𝑡	PUNCT
cana-1457	267	2	−	−	PROPN
cana-1457	267	3	1	1	NUM
cana-1457	267	4	)	)	PUNCT
cana-1457	267	5	+	+	CCONJ
cana-1457	267	6	𝑆(𝑡	𝑆(𝑡	PUNCT
cana-1457	267	7	+	+	NOUN
cana-1457	267	8	1	1	NUM
cana-1457	267	9	)	)	PUNCT
cana-1457	267	10	−	−	NOUN
cana-1457	267	11	𝑆(𝑡	𝑆(𝑡	PUNCT
cana-1457	267	12	−	−	PROPN
cana-1457	267	13	1	1	NUM
cana-1457	267	14	)	)	PUNCT
cana-1457	267	15	2	2	NUM
cana-1457	267	16	this	this	PRON
cana-1457	267	17	ensures	ensure	VERB
cana-1457	267	18	that	that	SCONJ
cana-1457	267	19	the	the	DET
cana-1457	267	20	time	time	NOUN
cana-1457	267	21	series	series	PROPN
cana-1457	267	22	remains	remain	VERB
cana-1457	267	23	continuous	continuous	ADJ
cana-1457	267	24	and	and	CCONJ
cana-1457	267	25	can	can	AUX
cana-1457	267	26	be	be	AUX
cana-1457	267	27	used	use	VERB
cana-1457	267	28	effectively	effectively	ADV
cana-1457	267	29	in	in	ADP
cana-1457	267	30	machine	machine	NOUN
cana-1457	267	31	learning	learning	NOUN
cana-1457	267	32	models	model	NOUN
cana-1457	267	33	.	.	PUNCT
cana-1457	268	1	after	after	ADP
cana-1457	268	2	handling	handle	VERB
cana-1457	268	3	outliers	outlier	NOUN
cana-1457	268	4	and	and	CCONJ
cana-1457	268	5	missing	miss	VERB
cana-1457	268	6	values	value	NOUN
cana-1457	268	7	,	,	PUNCT
cana-1457	268	8	the	the	DET
cana-1457	268	9	data	data	NOUN
cana-1457	268	10	is	be	AUX
cana-1457	268	11	scaled	scale	VERB
cana-1457	268	12	to	to	ADP
cana-1457	268	13	a	a	DET
cana-1457	268	14	standard	standard	ADJ
cana-1457	268	15	range	range	NOUN
cana-1457	268	16	using	use	VERB
cana-1457	268	17	minmax	minmax	PROPN
cana-1457	268	18	normalization	normalization	NOUN
cana-1457	268	19	:	:	PUNCT
cana-1457	268	20	𝑆scaled(𝑡	𝑆scaled(𝑡	NOUN
cana-1457	268	21	)	)	PUNCT
cana-1457	268	22	=	=	SYM
cana-1457	268	23	𝑆(𝑡	𝑆(𝑡	X
cana-1457	268	24	)	)	PUNCT
cana-1457	268	25	−	−	PROPN
cana-1457	269	1	𝑆min	𝑆min	PROPN
cana-1457	269	2	𝑆max	𝑆max	PROPN
cana-1457	269	3	−	−	PROPN
cana-1457	269	4	𝑆min	𝑆min	PROPN
cana-1457	269	5	where	where	SCONJ
cana-1457	269	6	𝑆min	𝑆min	PROPN
cana-1457	269	7	and	and	CCONJ
cana-1457	269	8	𝑆max	𝑆max	PROPN
cana-1457	269	9	are	be	AUX
cana-1457	269	10	the	the	DET
cana-1457	269	11	minimum	minimum	ADJ
cana-1457	269	12	and	and	CCONJ
cana-1457	269	13	maximum	maximum	ADJ
cana-1457	269	14	sensor	sensor	NOUN
cana-1457	269	15	readings	reading	NOUN
cana-1457	269	16	observed	observe	VERB
cana-1457	269	17	during	during	ADP
cana-1457	269	18	the	the	DET
cana-1457	269	19	withering	wither	VERB
cana-1457	269	20	process	process	NOUN
cana-1457	269	21	.	.	PUNCT
cana-1457	270	1	this	this	DET
cana-1457	270	2	scaling	scaling	NOUN
cana-1457	270	3	ensures	ensure	VERB
cana-1457	270	4	that	that	SCONJ
cana-1457	270	5	all	all	DET
cana-1457	270	6	features	feature	NOUN
cana-1457	270	7	are	be	AUX
cana-1457	270	8	within	within	ADP
cana-1457	270	9	the	the	DET
cana-1457	270	10	range	range	NOUN
cana-1457	271	1	[	[	X
cana-1457	271	2	0	0	NUM
cana-1457	271	3	,	,	PUNCT
cana-1457	271	4	1	1	NUM
cana-1457	271	5	]	]	PUNCT
cana-1457	271	6	,	,	PUNCT
cana-1457	271	7	which	which	PRON
cana-1457	271	8	improves	improve	VERB
cana-1457	271	9	the	the	DET
cana-1457	271	10	performance	performance	NOUN
cana-1457	271	11	of	of	ADP
cana-1457	271	12	machine	machine	NOUN
cana-1457	271	13	learning	learn	VERB
cana-1457	271	14	algorithms	algorithm	NOUN
cana-1457	271	15	.	.	PUNCT
cana-1457	272	1	4.2.4	4.2.4	NUM
cana-1457	272	2	sensor	sensor	NOUN
cana-1457	272	3	data	datum	NOUN
cana-1457	272	4	fusion	fusion	NOUN
cana-1457	272	5	the	the	DET
cana-1457	272	6	multiple	multiple	ADJ
cana-1457	272	7	sensor	sensor	NOUN
cana-1457	272	8	readings	reading	NOUN
cana-1457	272	9	collected	collect	VERB
cana-1457	272	10	from	from	ADP
cana-1457	272	11	the	the	DET
cana-1457	272	12	environment	environment	NOUN
cana-1457	272	13	need	need	VERB
cana-1457	272	14	to	to	PART
cana-1457	272	15	be	be	AUX
cana-1457	272	16	combined	combine	VERB
cana-1457	272	17	into	into	ADP
cana-1457	272	18	a	a	DET
cana-1457	272	19	single	single	ADJ
cana-1457	272	20	feature	feature	NOUN
cana-1457	272	21	vector	vector	NOUN
cana-1457	272	22	that	that	PRON
cana-1457	272	23	can	can	AUX
cana-1457	272	24	be	be	AUX
cana-1457	272	25	fed	feed	VERB
cana-1457	272	26	into	into	ADP
cana-1457	272	27	the	the	DET
cana-1457	272	28	machine	machine	NOUN
cana-1457	272	29	learning	learning	NOUN
cana-1457	272	30	models	model	NOUN
cana-1457	272	31	.	.	PUNCT
cana-1457	273	1	this	this	DET
cana-1457	273	2	process	process	NOUN
cana-1457	273	3	is	be	AUX
cana-1457	273	4	known	know	VERB
cana-1457	273	5	as	as	ADP
cana-1457	273	6	sensor	sensor	NOUN
cana-1457	273	7	data	datum	NOUN
cana-1457	273	8	fusion	fusion	NOUN
cana-1457	273	9	,	,	PUNCT
cana-1457	273	10	and	and	CCONJ
cana-1457	273	11	it	it	PRON
cana-1457	273	12	involves	involve	VERB
cana-1457	273	13	combining	combine	VERB
cana-1457	273	14	the	the	DET
cana-1457	273	15	temperature	temperature	NOUN
cana-1457	273	16	𝑇(𝑡	𝑇(𝑡	NOUN
cana-1457	273	17	)	)	PUNCT
cana-1457	273	18	,	,	PUNCT
cana-1457	273	19	humidity	humidity	NOUN
cana-1457	273	20	𝐻(𝑡	𝐻(𝑡	PRON
cana-1457	273	21	)	)	PUNCT
cana-1457	273	22	,	,	PUNCT
cana-1457	273	23	and	and	CCONJ
cana-1457	273	24	moisture	moisture	NOUN
cana-1457	273	25	content	content	NOUN
cana-1457	273	26	𝑀(𝑡	𝑀(𝑡	NUM
cana-1457	273	27	)	)	PUNCT
cana-1457	273	28	into	into	ADP
cana-1457	273	29	a	a	DET
cana-1457	273	30	unified	unified	ADJ
cana-1457	273	31	representation	representation	NOUN
cana-1457	273	32	.	.	PUNCT
cana-1457	274	1	the	the	DET
cana-1457	274	2	fusion	fusion	NOUN
cana-1457	274	3	process	process	NOUN
cana-1457	274	4	can	can	AUX
cana-1457	274	5	be	be	AUX
cana-1457	274	6	represented	represent	VERB
cana-1457	274	7	as	as	ADP
cana-1457	274	8	:	:	PUNCT
cana-1457	274	9	𝐹(𝑡	𝐹(𝑡	NUM
cana-1457	274	10	)	)	PUNCT
cana-1457	274	11	=	=	PUNCT
cana-1457	274	12	α𝑇𝑇(𝑡	α𝑇𝑇(𝑡	X
cana-1457	274	13	)	)	PUNCT
cana-1457	274	14	+	+	NUM
cana-1457	274	15	α𝐻𝐻(𝑡	α𝐻𝐻(𝑡	PRON
cana-1457	274	16	)	)	PUNCT
cana-1457	275	1	+	+	CCONJ
cana-1457	275	2	α𝑀𝑀(𝑡	α𝑀𝑀(𝑡	X
cana-1457	275	3	)	)	PUNCT
cana-1457	275	4	where	where	SCONJ
cana-1457	275	5	α𝑇	α𝑇	NOUN
cana-1457	275	6	,	,	PUNCT
cana-1457	275	7	α𝐻	α𝐻	ADJ
cana-1457	275	8	,	,	PUNCT
cana-1457	275	9	and	and	CCONJ
cana-1457	275	10	α𝑀𝑀	α𝑀𝑀	NOUN
cana-1457	275	11	are	be	AUX
cana-1457	275	12	the	the	DET
cana-1457	275	13	fusion	fusion	NOUN
cana-1457	275	14	weights	weight	NOUN
cana-1457	275	15	assigned	assign	VERB
cana-1457	275	16	to	to	ADP
cana-1457	275	17	each	each	DET
cana-1457	275	18	sensor	sensor	NOUN
cana-1457	275	19	reading	read	VERB
cana-1457	275	20	.	.	PUNCT
cana-1457	276	1	these	these	DET
cana-1457	276	2	weights	weight	NOUN
cana-1457	276	3	are	be	AUX
cana-1457	276	4	determined	determine	VERB
cana-1457	276	5	based	base	VERB
cana-1457	276	6	on	on	ADP
cana-1457	276	7	the	the	DET
cana-1457	276	8	relative	relative	ADJ
cana-1457	276	9	importance	importance	NOUN
cana-1457	276	10	of	of	ADP
cana-1457	276	11	each	each	DET
cana-1457	276	12	feature	feature	NOUN
cana-1457	276	13	in	in	ADP
cana-1457	276	14	predicting	predict	VERB
cana-1457	276	15	the	the	DET
cana-1457	276	16	quality	quality	NOUN
cana-1457	276	17	of	of	ADP
cana-1457	276	18	the	the	DET
cana-1457	276	19	tea	tea	NOUN
cana-1457	276	20	leaves	leave	NOUN
cana-1457	276	21	during	during	ADP
cana-1457	276	22	the	the	DET
cana-1457	276	23	withering	wither	VERB
cana-1457	276	24	process	process	NOUN
cana-1457	276	25	.	.	PUNCT
cana-1457	277	1	in	in	ADP
cana-1457	277	2	some	some	DET
cana-1457	277	3	cases	case	NOUN
cana-1457	277	4	,	,	PUNCT
cana-1457	277	5	it	it	PRON
cana-1457	277	6	may	may	AUX
cana-1457	277	7	be	be	AUX
cana-1457	277	8	beneficial	beneficial	ADJ
cana-1457	277	9	to	to	PART
cana-1457	277	10	incorporate	incorporate	VERB
cana-1457	277	11	non	non	ADJ
cana-1457	277	12	-	-	ADJ
cana-1457	277	13	linear	linear	ADJ
cana-1457	277	14	combinations	combination	NOUN
cana-1457	277	15	of	of	ADP
cana-1457	277	16	the	the	DET
cana-1457	277	17	sensor	sensor	NOUN
cana-1457	277	18	readings	reading	VERB
cana-1457	277	19	into	into	ADP
cana-1457	277	20	the	the	DET
cana-1457	277	21	feature	feature	NOUN
cana-1457	277	22	vector	vector	NOUN
cana-1457	277	23	.	.	PUNCT
cana-1457	278	1	for	for	ADP
cana-1457	278	2	example	example	NOUN
cana-1457	278	3	,	,	PUNCT
cana-1457	278	4	the	the	DET
cana-1457	278	5	interaction	interaction	NOUN
cana-1457	278	6	between	between	ADP
cana-1457	278	7	temperature	temperature	NOUN
cana-1457	278	8	and	and	CCONJ
cana-1457	278	9	humidity	humidity	NOUN
cana-1457	278	10	can	can	AUX
cana-1457	278	11	be	be	AUX
cana-1457	278	12	modeled	model	VERB
cana-1457	278	13	using	use	VERB
cana-1457	278	14	a	a	DET
cana-1457	278	15	product	product	NOUN
cana-1457	278	16	term	term	NOUN
cana-1457	278	17	:	:	PUNCT
cana-1457	278	18	𝐹(𝑡	𝐹(𝑡	X
cana-1457	278	19	)	)	PUNCT
cana-1457	278	20	=	=	PUNCT
cana-1457	278	21	α𝑇𝑇(𝑡	α𝑇𝑇(𝑡	X
cana-1457	278	22	)	)	PUNCT
cana-1457	278	23	+	+	NUM
cana-1457	278	24	α𝐻𝐻(𝑡	α𝐻𝐻(𝑡	PRON
cana-1457	278	25	)	)	PUNCT
cana-1457	279	1	+	+	CCONJ
cana-1457	279	2	α𝑇𝐻𝑇(𝑡)𝐻(𝑡	α𝑇𝐻𝑇(𝑡)𝐻(𝑡	NUM
cana-1457	279	3	)	)	PUNCT
cana-1457	280	1	+	+	CCONJ
cana-1457	280	2	α𝑀𝑀(𝑡	α𝑀𝑀(𝑡	X
cana-1457	280	3	)	)	PUNCT
cana-1457	280	4	this	this	PRON
cana-1457	280	5	captures	capture	VERB
cana-1457	280	6	the	the	DET
cana-1457	280	7	complex	complex	ADJ
cana-1457	280	8	interactions	interaction	NOUN
cana-1457	280	9	between	between	ADP
cana-1457	280	10	environmental	environmental	ADJ
cana-1457	280	11	factors	factor	NOUN
cana-1457	280	12	,	,	PUNCT
cana-1457	280	13	which	which	PRON
cana-1457	280	14	may	may	AUX
cana-1457	280	15	have	have	VERB
cana-1457	280	16	a	a	DET
cana-1457	280	17	significant	significant	ADJ
cana-1457	280	18	impact	impact	NOUN
cana-1457	280	19	on	on	ADP
cana-1457	280	20	the	the	DET
cana-1457	280	21	withering	wither	VERB
cana-1457	280	22	process	process	NOUN
cana-1457	280	23	.	.	PUNCT
cana-1457	281	1	4.2.5	4.2.5	NUM
cana-1457	281	2	cloud	cloud	NOUN
cana-1457	281	3	infrastructure	infrastructure	NOUN
cana-1457	281	4	and	and	CCONJ
cana-1457	281	5	dashboard	dashboard	NOUN
cana-1457	281	6	integration	integration	NOUN
cana-1457	281	7	the	the	DET
cana-1457	281	8	processed	process	VERB
cana-1457	281	9	sensor	sensor	NOUN
cana-1457	281	10	data	datum	NOUN
cana-1457	281	11	is	be	AUX
cana-1457	281	12	stored	store	VERB
cana-1457	281	13	in	in	ADP
cana-1457	281	14	a	a	DET
cana-1457	281	15	real	real	ADJ
cana-1457	281	16	-	-	PUNCT
cana-1457	281	17	time	time	NOUN
cana-1457	281	18	cloud	cloud	NOUN
cana-1457	281	19	database	database	NOUN
cana-1457	281	20	that	that	PRON
cana-1457	281	21	is	be	AUX
cana-1457	281	22	accessible	accessible	ADJ
cana-1457	281	23	via	via	ADP
cana-1457	281	24	an	an	DET
cana-1457	281	25	api	api	NOUN
cana-1457	281	26	.	.	PUNCT
cana-1457	282	1	the	the	DET
cana-1457	282	2	cloud	cloud	NOUN
cana-1457	282	3	infrastructure	infrastructure	NOUN
cana-1457	282	4	ensures	ensure	VERB
cana-1457	282	5	scalability	scalability	NOUN
cana-1457	282	6	,	,	PUNCT
cana-1457	282	7	allowing	allow	VERB
cana-1457	282	8	for	for	SCONJ
cana-1457	282	9	multiple	multiple	ADJ
cana-1457	282	10	sensors	sensor	NOUN
cana-1457	282	11	to	to	PART
cana-1457	282	12	be	be	AUX
cana-1457	282	13	connected	connect	VERB
cana-1457	282	14	to	to	ADP
cana-1457	282	15	the	the	DET
cana-1457	282	16	system	system	NOUN
cana-1457	282	17	without	without	ADP
cana-1457	282	18	affecting	affect	VERB
cana-1457	282	19	performance	performance	NOUN
cana-1457	282	20	.	.	PUNCT
cana-1457	283	1	the	the	DET
cana-1457	283	2	sensor	sensor	NOUN
cana-1457	283	3	data	datum	NOUN
cana-1457	283	4	is	be	AUX
cana-1457	283	5	continuously	continuously	ADV
cana-1457	283	6	uploaded	upload	VERB
cana-1457	283	7	to	to	ADP
cana-1457	283	8	the	the	DET
cana-1457	283	9	cloud	cloud	NOUN
cana-1457	283	10	,	,	PUNCT
cana-1457	283	11	where	where	SCONJ
cana-1457	283	12	it	it	PRON
cana-1457	283	13	can	can	AUX
cana-1457	283	14	be	be	AUX
cana-1457	283	15	accessed	access	VERB
cana-1457	283	16	by	by	ADP
cana-1457	283	17	the	the	DET
cana-1457	283	18	machine	machine	NOUN
cana-1457	283	19	learning	learning	NOUN
cana-1457	283	20	models	model	NOUN
cana-1457	283	21	for	for	ADP
cana-1457	283	22	predictive	predictive	ADJ
cana-1457	283	23	analysis	analysis	NOUN
cana-1457	283	24	.	.	PUNCT
cana-1457	284	1	the	the	DET
cana-1457	284	2	iot	iot	PROPN
cana-1457	284	3	dashboard	dashboard	NOUN
cana-1457	284	4	retrieves	retrieve	VERB
cana-1457	284	5	the	the	DET
cana-1457	284	6	data	datum	NOUN
cana-1457	284	7	from	from	ADP
cana-1457	284	8	the	the	DET
cana-1457	284	9	cloud	cloud	NOUN
cana-1457	284	10	and	and	CCONJ
cana-1457	284	11	displays	display	VERB
cana-1457	284	12	it	it	PRON
cana-1457	284	13	to	to	ADP
cana-1457	284	14	the	the	DET
cana-1457	284	15	tea	tea	NOUN
cana-1457	284	16	producers	producer	NOUN
cana-1457	284	17	in	in	ADP
cana-1457	284	18	real	real	ADJ
cana-1457	284	19	time	time	NOUN
cana-1457	284	20	,	,	PUNCT
cana-1457	284	21	providing	provide	VERB
cana-1457	284	22	them	they	PRON
cana-1457	284	23	with	with	ADP
cana-1457	284	24	actionable	actionable	ADJ
cana-1457	284	25	insights	insight	NOUN
cana-1457	284	26	into	into	ADP
cana-1457	284	27	the	the	DET
cana-1457	284	28	withering	wither	VERB
cana-1457	284	29	process	process	NOUN
cana-1457	284	30	.	.	PUNCT
cana-1457	285	1	communications	communication	NOUN
cana-1457	285	2	on	on	ADP
cana-1457	285	3	applied	apply	VERB
cana-1457	285	4	nonlinear	nonlinear	ADJ
cana-1457	285	5	analysis	analysis	NOUN
cana-1457	285	6	issn	issn	NOUN
cana-1457	285	7	:	:	PUNCT
cana-1457	285	8	1074	1074	NUM
cana-1457	285	9	-	-	PUNCT
cana-1457	285	10	133x	133x	NUM
cana-1457	285	11	vol	vol	NOUN
cana-1457	285	12	31	31	NUM
cana-1457	285	13	no	no	NOUN
cana-1457	285	14	.	.	PUNCT
cana-1457	286	1	8s	8s	PROPN
cana-1457	286	2	(	(	PUNCT
cana-1457	286	3	2024	2024	NUM
cana-1457	286	4	)	)	PUNCT
cana-1457	286	5	70	70	NUM
cana-1457	286	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	286	7	the	the	DET
cana-1457	286	8	overall	overall	ADJ
cana-1457	286	9	system	system	NOUN
cana-1457	286	10	latency	latency	NOUN
cana-1457	286	11	,	,	PUNCT
cana-1457	286	12	which	which	PRON
cana-1457	286	13	includes	include	VERB
cana-1457	286	14	sensor	sensor	NOUN
cana-1457	286	15	data	data	NOUN
cana-1457	286	16	acquisition	acquisition	NOUN
cana-1457	286	17	,	,	PUNCT
cana-1457	286	18	wireless	wireless	ADJ
cana-1457	286	19	transmission	transmission	NOUN
cana-1457	286	20	,	,	PUNCT
cana-1457	286	21	cloud	cloud	NOUN
cana-1457	286	22	storage	storage	NOUN
cana-1457	286	23	,	,	PUNCT
cana-1457	286	24	and	and	CCONJ
cana-1457	286	25	dashboard	dashboard	NOUN
cana-1457	286	26	visualization	visualization	NOUN
cana-1457	286	27	,	,	PUNCT
cana-1457	286	28	is	be	AUX
cana-1457	286	29	given	give	VERB
cana-1457	286	30	by	by	ADP
cana-1457	286	31	:	:	PUNCT
cana-1457	286	32	𝐿total	𝐿total	PROPN
cana-1457	286	33	=	=	SYM
cana-1457	286	34	𝐿acquire	𝐿acquire	PROPN
cana-1457	286	35	+	+	CCONJ
cana-1457	286	36	𝐿transmit	𝐿transmit	PROPN
cana-1457	286	37	+	+	CCONJ
cana-1457	286	38	𝐿process	𝐿process	PROPN
cana-1457	286	39	+	+	NUM
cana-1457	286	40	𝐿visualize	𝐿visualize	PROPN
cana-1457	286	41	where	where	SCONJ
cana-1457	286	42	𝐿acquire	𝐿acquire	PROPN
cana-1457	286	43	represents	represent	VERB
cana-1457	286	44	the	the	DET
cana-1457	286	45	time	time	NOUN
cana-1457	286	46	taken	take	VERB
cana-1457	286	47	to	to	PART
cana-1457	286	48	sample	sample	VERB
cana-1457	286	49	the	the	DET
cana-1457	286	50	sensor	sensor	NOUN
cana-1457	286	51	data	datum	NOUN
cana-1457	286	52	,	,	PUNCT
cana-1457	286	53	𝐿transmit	𝐿transmit	PROPN
cana-1457	286	54	is	be	AUX
cana-1457	286	55	the	the	DET
cana-1457	286	56	wireless	wireless	ADJ
cana-1457	286	57	transmission	transmission	NOUN
cana-1457	286	58	latency	latency	NOUN
cana-1457	286	59	,	,	PUNCT
cana-1457	286	60	𝐿process	𝐿process	PROPN
cana-1457	286	61	is	be	AUX
cana-1457	286	62	the	the	DET
cana-1457	286	63	cloud	cloud	ADJ
cana-1457	286	64	processing	processing	NOUN
cana-1457	286	65	time	time	NOUN
cana-1457	286	66	,	,	PUNCT
cana-1457	286	67	and	and	CCONJ
cana-1457	286	68	𝐿visualize	𝐿visualize	PROPN
cana-1457	286	69	is	be	AUX
cana-1457	286	70	the	the	DET
cana-1457	286	71	time	time	NOUN
cana-1457	286	72	taken	take	VERB
cana-1457	286	73	to	to	PART
cana-1457	286	74	display	display	VERB
cana-1457	286	75	the	the	DET
cana-1457	286	76	data	datum	NOUN
cana-1457	286	77	on	on	ADP
cana-1457	286	78	the	the	DET
cana-1457	286	79	dashboard	dashboard	NOUN
cana-1457	286	80	.	.	PUNCT
cana-1457	287	1	the	the	DET
cana-1457	287	2	system	system	NOUN
cana-1457	287	3	is	be	AUX
cana-1457	287	4	designed	design	VERB
cana-1457	287	5	to	to	PART
cana-1457	287	6	minimize	minimize	VERB
cana-1457	287	7	latency	latency	NOUN
cana-1457	287	8	,	,	PUNCT
cana-1457	287	9	ensuring	ensure	VERB
cana-1457	287	10	that	that	SCONJ
cana-1457	287	11	tea	tea	NOUN
cana-1457	287	12	producers	producer	NOUN
cana-1457	287	13	can	can	AUX
cana-1457	287	14	monitor	monitor	VERB
cana-1457	287	15	the	the	DET
cana-1457	287	16	environmental	environmental	ADJ
cana-1457	287	17	conditions	condition	NOUN
cana-1457	287	18	in	in	ADP
cana-1457	287	19	real	real	ADJ
cana-1457	287	20	time	time	NOUN
cana-1457	287	21	and	and	CCONJ
cana-1457	287	22	adjust	adjust	VERB
cana-1457	287	23	the	the	DET
cana-1457	287	24	withering	wither	VERB
cana-1457	287	25	process	process	NOUN
cana-1457	287	26	as	as	SCONJ
cana-1457	287	27	needed	need	VERB
cana-1457	287	28	.	.	PUNCT
cana-1457	288	1	the	the	DET
cana-1457	288	2	iot	iot	PROPN
cana-1457	288	3	dashboard	dashboard	NOUN
cana-1457	288	4	displays	display	VERB
cana-1457	288	5	the	the	DET
cana-1457	288	6	sensor	sensor	NOUN
cana-1457	288	7	readings	reading	VERB
cana-1457	288	8	along	along	ADP
cana-1457	288	9	with	with	ADP
cana-1457	288	10	machine	machine	NOUN
cana-1457	288	11	learning	learn	VERB
cana-1457	288	12	model	model	NOUN
cana-1457	288	13	predictions	prediction	NOUN
cana-1457	288	14	,	,	PUNCT
cana-1457	288	15	enabling	enable	VERB
cana-1457	288	16	producers	producer	NOUN
cana-1457	288	17	to	to	PART
cana-1457	288	18	make	make	VERB
cana-1457	288	19	datadriven	datadriven	ADJ
cana-1457	288	20	decisions	decision	NOUN
cana-1457	288	21	to	to	PART
cana-1457	288	22	optimize	optimize	VERB
cana-1457	288	23	tea	tea	NOUN
cana-1457	288	24	quality	quality	NOUN
cana-1457	288	25	.	.	PUNCT
cana-1457	289	1	4.3	4.3	NUM
cana-1457	289	2	.	.	PUNCT
cana-1457	289	3	data	datum	NOUN
cana-1457	289	4	collection	collection	NOUN
cana-1457	289	5	and	and	CCONJ
cana-1457	289	6	preprocessing	preprocessing	NOUN
cana-1457	289	7	in	in	ADP
cana-1457	289	8	this	this	DET
cana-1457	289	9	section	section	NOUN
cana-1457	289	10	,	,	PUNCT
cana-1457	289	11	we	we	PRON
cana-1457	289	12	delve	delve	VERB
cana-1457	289	13	into	into	ADP
cana-1457	289	14	the	the	DET
cana-1457	289	15	data	data	NOUN
cana-1457	289	16	collection	collection	NOUN
cana-1457	289	17	process	process	NOUN
cana-1457	289	18	,	,	PUNCT
cana-1457	289	19	the	the	DET
cana-1457	289	20	challenges	challenge	NOUN
cana-1457	289	21	associated	associate	VERB
cana-1457	289	22	with	with	ADP
cana-1457	289	23	real	real	ADJ
cana-1457	289	24	-	-	PUNCT
cana-1457	289	25	time	time	NOUN
cana-1457	289	26	sensor	sensor	NOUN
cana-1457	289	27	data	datum	NOUN
cana-1457	289	28	,	,	PUNCT
cana-1457	289	29	and	and	CCONJ
cana-1457	289	30	the	the	DET
cana-1457	289	31	techniques	technique	NOUN
cana-1457	289	32	employed	employ	VERB
cana-1457	289	33	to	to	PART
cana-1457	289	34	preprocess	preprocess	VERB
cana-1457	289	35	this	this	DET
cana-1457	289	36	data	datum	NOUN
cana-1457	289	37	for	for	ADP
cana-1457	289	38	machine	machine	NOUN
cana-1457	289	39	learning	learning	NOUN
cana-1457	289	40	applications	application	NOUN
cana-1457	289	41	.	.	PUNCT
cana-1457	290	1	the	the	DET
cana-1457	290	2	process	process	NOUN
cana-1457	290	3	of	of	ADP
cana-1457	290	4	tea	tea	NOUN
cana-1457	290	5	withering	withering	NOUN
cana-1457	290	6	requires	require	VERB
cana-1457	290	7	the	the	DET
cana-1457	290	8	monitoring	monitoring	NOUN
cana-1457	290	9	of	of	ADP
cana-1457	290	10	various	various	ADJ
cana-1457	290	11	environmental	environmental	ADJ
cana-1457	290	12	parameters	parameter	NOUN
cana-1457	290	13	such	such	ADJ
cana-1457	290	14	as	as	ADP
cana-1457	290	15	temperature	temperature	NOUN
cana-1457	290	16	,	,	PUNCT
cana-1457	290	17	humidity	humidity	NOUN
cana-1457	290	18	,	,	PUNCT
cana-1457	290	19	and	and	CCONJ
cana-1457	290	20	moisture	moisture	NOUN
cana-1457	290	21	content	content	NOUN
cana-1457	290	22	.	.	PUNCT
cana-1457	291	1	these	these	DET
cana-1457	291	2	parameters	parameter	NOUN
cana-1457	291	3	are	be	AUX
cana-1457	291	4	continuously	continuously	ADV
cana-1457	291	5	captured	capture	VERB
cana-1457	291	6	by	by	ADP
cana-1457	291	7	iot	iot	ADJ
cana-1457	291	8	sensors	sensor	NOUN
cana-1457	291	9	,	,	PUNCT
cana-1457	291	10	transmitted	transmit	VERB
cana-1457	291	11	to	to	ADP
cana-1457	291	12	a	a	DET
cana-1457	291	13	cloud	cloud	NOUN
cana-1457	291	14	-	-	PUNCT
cana-1457	291	15	based	base	VERB
cana-1457	291	16	platform	platform	NOUN
cana-1457	291	17	,	,	PUNCT
cana-1457	291	18	and	and	CCONJ
cana-1457	291	19	subjected	subject	VERB
cana-1457	291	20	to	to	ADP
cana-1457	291	21	preprocessing	preprocesse	VERB
cana-1457	291	22	before	before	ADP
cana-1457	291	23	being	be	AUX
cana-1457	291	24	fed	feed	VERB
cana-1457	291	25	into	into	ADP
cana-1457	291	26	machine	machine	NOUN
cana-1457	291	27	learning	learning	NOUN
cana-1457	291	28	models	model	NOUN
cana-1457	291	29	like	like	ADP
cana-1457	291	30	xgboost	xgboost	ADV
cana-1457	291	31	and	and	CCONJ
cana-1457	291	32	lightgbm	lightgbm	ADJ
cana-1457	291	33	.	.	PUNCT
cana-1457	292	1	the	the	DET
cana-1457	292	2	preprocessing	preprocessing	NOUN
cana-1457	292	3	steps	step	NOUN
cana-1457	292	4	include	include	VERB
cana-1457	292	5	noise	noise	NOUN
cana-1457	292	6	filtering	filtering	NOUN
cana-1457	292	7	,	,	PUNCT
cana-1457	292	8	missing	miss	VERB
cana-1457	292	9	value	value	NOUN
cana-1457	292	10	imputation	imputation	NOUN
cana-1457	292	11	,	,	PUNCT
cana-1457	292	12	feature	feature	NOUN
cana-1457	292	13	scaling	scaling	NOUN
cana-1457	292	14	,	,	PUNCT
cana-1457	292	15	and	and	CCONJ
cana-1457	292	16	the	the	DET
cana-1457	292	17	generation	generation	NOUN
cana-1457	292	18	of	of	ADP
cana-1457	292	19	additional	additional	ADJ
cana-1457	292	20	features	feature	NOUN
cana-1457	292	21	that	that	PRON
cana-1457	292	22	help	help	AUX
cana-1457	292	23	improve	improve	VERB
cana-1457	292	24	model	model	NOUN
cana-1457	292	25	performance	performance	NOUN
cana-1457	292	26	.	.	PUNCT
cana-1457	293	1	table	table	NOUN
cana-1457	293	2	2	2	NUM
cana-1457	293	3	:	:	PUNCT
cana-1457	293	4	withering	wither	VERB
cana-1457	293	5	data	datum	NOUN
cana-1457	293	6	hour	hour	NOUN
cana-1457	293	7	by	by	ADP
cana-1457	293	8	hour	hour	NOUN
cana-1457	293	9	time	time	NOUN
cana-1457	293	10	(	(	PUNCT
cana-1457	293	11	hours	hour	NOUN
cana-1457	293	12	)	)	PUNCT
cana-1457	293	13	temperature	temperature	NOUN
cana-1457	293	14	(	(	PUNCT
cana-1457	293	15	°	°	ADP
cana-1457	293	16	c	c	NOUN
cana-1457	293	17	)	)	PUNCT
cana-1457	293	18	humidity	humidity	NOUN
cana-1457	293	19	(	(	PUNCT
cana-1457	293	20	%	%	INTJ
cana-1457	293	21	)	)	PUNCT
cana-1457	293	22	initial	initial	ADJ
cana-1457	293	23	moisture	moisture	NOUN
cana-1457	293	24	(	(	PUNCT
cana-1457	293	25	%	%	INTJ
cana-1457	293	26	)	)	PUNCT
cana-1457	293	27	final	final	ADJ
cana-1457	293	28	moisture	moisture	NOUN
cana-1457	293	29	(	(	PUNCT
cana-1457	293	30	%	%	NOUN
cana-1457	293	31	)	)	PUNCT
cana-1457	293	32	0	0	NUM
cana-1457	294	1	28.7	28.7	NUM
cana-1457	294	2	68.5	68.5	NUM
cana-1457	294	3	70.0	70.0	NUM
cana-1457	294	4	67.6	67.6	NUM
cana-1457	294	5	1	1	NUM
cana-1457	294	6	32.3	32.3	NUM
cana-1457	294	7	58.0	58.0	NUM
cana-1457	294	8	68.3	68.3	NUM
cana-1457	294	9	64.9	64.9	NUM
cana-1457	294	10	2	2	NUM
cana-1457	294	11	26.6	26.6	NUM
cana-1457	294	12	44.7	44.7	NUM
cana-1457	294	13	66.1	66.1	NUM
cana-1457	294	14	64.3	64.3	NUM
cana-1457	294	15	3	3	NUM
cana-1457	294	16	25.6	25.6	NUM
cana-1457	294	17	66.0	66.0	NUM
cana-1457	294	18	65.8	65.8	NUM
cana-1457	294	19	64.6	64.6	NUM
cana-1457	294	20	4	4	NUM
cana-1457	294	21	31.0	31.0	NUM
cana-1457	294	22	61.2	61.2	NUM
cana-1457	294	23	61.5	61.5	NUM
cana-1457	294	24	58.1	58.1	NUM
cana-1457	294	25	4.3.1	4.3.1	NUM
cana-1457	294	26	data	datum	NOUN
cana-1457	294	27	collection	collection	NOUN
cana-1457	294	28	from	from	ADP
cana-1457	294	29	iot	iot	ADJ
cana-1457	294	30	sensors	sensor	NOUN
cana-1457	294	31	the	the	DET
cana-1457	294	32	iot	iot	PROPN
cana-1457	294	33	sensors	sensor	NOUN
cana-1457	294	34	,	,	PUNCT
cana-1457	294	35	deployed	deploy	VERB
cana-1457	294	36	in	in	ADP
cana-1457	294	37	the	the	DET
cana-1457	294	38	tea	tea	NOUN
cana-1457	294	39	withering	wither	VERB
cana-1457	294	40	environment	environment	NOUN
cana-1457	294	41	,	,	PUNCT
cana-1457	294	42	continuously	continuously	ADV
cana-1457	294	43	capture	capture	VERB
cana-1457	294	44	data	datum	NOUN
cana-1457	294	45	related	relate	VERB
cana-1457	294	46	to	to	ADP
cana-1457	294	47	temperature	temperature	NOUN
cana-1457	294	48	,	,	PUNCT
cana-1457	294	49	humidity	humidity	NOUN
cana-1457	294	50	,	,	PUNCT
cana-1457	294	51	and	and	CCONJ
cana-1457	294	52	moisture	moisture	NOUN
cana-1457	294	53	content	content	NOUN
cana-1457	294	54	.	.	PUNCT
cana-1457	295	1	the	the	DET
cana-1457	295	2	sensor	sensor	NOUN
cana-1457	295	3	readings	reading	NOUN
cana-1457	295	4	are	be	AUX
cana-1457	295	5	collected	collect	VERB
cana-1457	295	6	at	at	ADP
cana-1457	295	7	regular	regular	ADJ
cana-1457	295	8	intervals	interval	NOUN
cana-1457	295	9	δt	δt	ADP
cana-1457	295	10	,	,	PUNCT
cana-1457	295	11	ensuring	ensure	VERB
cana-1457	295	12	that	that	SCONJ
cana-1457	295	13	all	all	DET
cana-1457	295	14	significant	significant	ADJ
cana-1457	295	15	fluctuations	fluctuation	NOUN
cana-1457	295	16	in	in	ADP
cana-1457	295	17	the	the	DET
cana-1457	295	18	environment	environment	NOUN
cana-1457	295	19	are	be	AUX
cana-1457	295	20	captured	capture	VERB
cana-1457	295	21	.	.	PUNCT
cana-1457	296	1	each	each	DET
cana-1457	296	2	sensor	sensor	NOUN
cana-1457	296	3	reading	read	VERB
cana-1457	296	4	at	at	ADP
cana-1457	296	5	time	time	NOUN
cana-1457	296	6	𝑡	𝑡	PROPN
cana-1457	296	7	is	be	AUX
cana-1457	296	8	represented	represent	VERB
cana-1457	296	9	as	as	ADP
cana-1457	296	10	a	a	DET
cana-1457	296	11	vector	vector	NOUN
cana-1457	296	12	𝑆(𝑡	𝑆(𝑡	ADJ
cana-1457	296	13	)	)	PUNCT
cana-1457	296	14	=	=	PUNCT
cana-1457	297	1	[	[	PUNCT
cana-1457	297	2	𝑇(𝑡	𝑇(𝑡	NOUN
cana-1457	297	3	)	)	PUNCT
cana-1457	297	4	,	,	PUNCT
cana-1457	297	5	𝐻(𝑡	𝐻(𝑡	NOUN
cana-1457	297	6	)	)	PUNCT
cana-1457	297	7	,	,	PUNCT
cana-1457	297	8	𝑀(𝑡	𝑀(𝑡	NUM
cana-1457	297	9	)	)	PUNCT
cana-1457	297	10	where	where	SCONJ
cana-1457	297	11	𝑇(𝑡	𝑇(𝑡	X
cana-1457	297	12	)	)	PUNCT
cana-1457	297	13	,	,	PUNCT
cana-1457	297	14	𝐻(𝑡	𝐻(𝑡	NOUN
cana-1457	297	15	)	)	PUNCT
cana-1457	297	16	,	,	PUNCT
cana-1457	297	17	and	and	CCONJ
cana-1457	297	18	𝑀(𝑡	𝑀(𝑡	NUM
cana-1457	297	19	)	)	PUNCT
cana-1457	297	20	represent	represent	VERB
cana-1457	297	21	the	the	DET
cana-1457	297	22	temperature	temperature	NOUN
cana-1457	297	23	,	,	PUNCT
cana-1457	297	24	humidity	humidity	NOUN
cana-1457	297	25	,	,	PUNCT
cana-1457	297	26	and	and	CCONJ
cana-1457	297	27	moisture	moisture	NOUN
cana-1457	297	28	content	content	NOUN
cana-1457	297	29	,	,	PUNCT
cana-1457	297	30	respectively	respectively	ADV
cana-1457	297	31	.	.	PUNCT
cana-1457	298	1	the	the	DET
cana-1457	298	2	entire	entire	ADJ
cana-1457	298	3	dataset	dataset	NOUN
cana-1457	298	4	collected	collect	VERB
cana-1457	298	5	over	over	ADP
cana-1457	298	6	nn	nn	NOUN
cana-1457	298	7	time	time	NOUN
cana-1457	298	8	steps	step	NOUN
cana-1457	298	9	can	can	AUX
cana-1457	298	10	be	be	AUX
cana-1457	298	11	represented	represent	VERB
cana-1457	298	12	as	as	ADP
cana-1457	298	13	:	:	PUNCT
cana-1457	298	14	𝑋	𝑋	NOUN
cana-1457	298	15	=	=	SYM
cana-1457	298	16	{	{	PUNCT
cana-1457	298	17	𝑆(1	𝑆(1	NOUN
cana-1457	298	18	)	)	PUNCT
cana-1457	298	19	,	,	PUNCT
cana-1457	298	20	𝑆(2	𝑆(2	NUM
cana-1457	298	21	)	)	PUNCT
cana-1457	298	22	,	,	PUNCT
cana-1457	298	23	…	…	PUNCT
cana-1457	298	24	,	,	PUNCT
cana-1457	298	25	𝑆(𝑁	𝑆(𝑁	NOUN
cana-1457	298	26	)	)	PUNCT
cana-1457	298	27	}	}	PUNCT
cana-1457	298	28	here	here	ADV
cana-1457	298	29	,	,	PUNCT
cana-1457	298	30	nn	nn	PROPN
cana-1457	298	31	represents	represent	VERB
cana-1457	298	32	the	the	DET
cana-1457	298	33	total	total	ADJ
cana-1457	298	34	number	number	NOUN
cana-1457	298	35	of	of	ADP
cana-1457	298	36	time	time	NOUN
cana-1457	298	37	steps	step	NOUN
cana-1457	298	38	,	,	PUNCT
cana-1457	298	39	and	and	CCONJ
cana-1457	298	40	𝑆(𝑡	𝑆(𝑡	ADJ
cana-1457	298	41	)	)	PUNCT
cana-1457	298	42	is	be	AUX
cana-1457	298	43	the	the	DET
cana-1457	298	44	sensor	sensor	NOUN
cana-1457	298	45	reading	read	VERB
cana-1457	298	46	at	at	ADP
cana-1457	298	47	each	each	DET
cana-1457	298	48	time	time	NOUN
cana-1457	298	49	step	step	NOUN
cana-1457	298	50	.	.	PUNCT
cana-1457	299	1	the	the	DET
cana-1457	299	2	collection	collection	NOUN
cana-1457	299	3	of	of	ADP
cana-1457	299	4	real	real	ADJ
cana-1457	299	5	-	-	PUNCT
cana-1457	299	6	time	time	NOUN
cana-1457	299	7	data	datum	NOUN
cana-1457	299	8	introduces	introduce	VERB
cana-1457	299	9	several	several	ADJ
cana-1457	299	10	challenges	challenge	NOUN
cana-1457	299	11	,	,	PUNCT
cana-1457	299	12	including	include	VERB
cana-1457	299	13	sensor	sensor	NOUN
cana-1457	299	14	noise	noise	NOUN
cana-1457	299	15	,	,	PUNCT
cana-1457	299	16	missing	miss	VERB
cana-1457	299	17	data	datum	NOUN
cana-1457	299	18	due	due	ADP
cana-1457	299	19	to	to	ADP
cana-1457	299	20	transmission	transmission	NOUN
cana-1457	299	21	errors	error	NOUN
cana-1457	299	22	,	,	PUNCT
cana-1457	299	23	and	and	CCONJ
cana-1457	299	24	varying	vary	VERB
cana-1457	299	25	data	datum	NOUN
cana-1457	299	26	scales	scale	NOUN
cana-1457	299	27	across	across	ADP
cana-1457	299	28	different	different	ADJ
cana-1457	299	29	sensors	sensor	NOUN
cana-1457	299	30	.	.	PUNCT
cana-1457	300	1	to	to	PART
cana-1457	300	2	address	address	VERB
cana-1457	300	3	these	these	DET
cana-1457	300	4	challenges	challenge	NOUN
cana-1457	300	5	,	,	PUNCT
cana-1457	300	6	preprocessing	preprocesse	VERB
cana-1457	300	7	is	be	AUX
cana-1457	300	8	a	a	DET
cana-1457	300	9	crucial	crucial	ADJ
cana-1457	300	10	step	step	NOUN
cana-1457	300	11	before	before	SCONJ
cana-1457	300	12	the	the	DET
cana-1457	300	13	data	data	NOUN
cana-1457	300	14	is	be	AUX
cana-1457	300	15	used	use	VERB
cana-1457	300	16	for	for	ADP
cana-1457	300	17	analysis	analysis	NOUN
cana-1457	300	18	.	.	PUNCT
cana-1457	301	1	communications	communication	NOUN
cana-1457	301	2	on	on	ADP
cana-1457	301	3	applied	apply	VERB
cana-1457	301	4	nonlinear	nonlinear	ADJ
cana-1457	301	5	analysis	analysis	NOUN
cana-1457	301	6	issn	issn	NOUN
cana-1457	301	7	:	:	PUNCT
cana-1457	301	8	1074	1074	NUM
cana-1457	301	9	-	-	PUNCT
cana-1457	301	10	133x	133x	NUM
cana-1457	301	11	vol	vol	NOUN
cana-1457	301	12	31	31	NUM
cana-1457	301	13	no	no	NOUN
cana-1457	301	14	.	.	PUNCT
cana-1457	302	1	8s	8s	PROPN
cana-1457	302	2	(	(	PUNCT
cana-1457	302	3	2024	2024	NUM
cana-1457	302	4	)	)	PUNCT
cana-1457	302	5	71	71	NUM
cana-1457	302	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1457	302	7	4.3.2	4.3.2	NUM
cana-1457	302	8	noise	noise	NOUN
cana-1457	302	9	filtering	filter	VERB
cana-1457	302	10	and	and	CCONJ
cana-1457	302	11	outlier	outlier	NOUN
cana-1457	302	12	detection	detection	NOUN
cana-1457	302	13	one	one	NUM
cana-1457	302	14	of	of	ADP
cana-1457	302	15	the	the	DET
cana-1457	302	16	most	most	ADV
cana-1457	302	17	common	common	ADJ
cana-1457	302	18	issues	issue	NOUN
cana-1457	302	19	in	in	ADP
cana-1457	302	20	iot	iot	NOUN
cana-1457	302	21	-	-	PUNCT
cana-1457	302	22	based	base	VERB
cana-1457	302	23	data	datum	NOUN
cana-1457	302	24	collection	collection	NOUN
cana-1457	302	25	is	be	AUX
cana-1457	302	26	the	the	DET
cana-1457	302	27	presence	presence	NOUN
cana-1457	302	28	of	of	ADP
cana-1457	302	29	noise	noise	NOUN
cana-1457	302	30	in	in	ADP
cana-1457	302	31	sensor	sensor	NOUN
cana-1457	302	32	readings	reading	NOUN
cana-1457	302	33	.	.	PUNCT
cana-1457	303	1	noise	noise	NOUN
cana-1457	303	2	can	can	AUX
cana-1457	303	3	arise	arise	VERB
cana-1457	303	4	due	due	ADP
cana-1457	303	5	to	to	ADP
cana-1457	303	6	environmental	environmental	ADJ
cana-1457	303	7	interference	interference	NOUN
cana-1457	303	8	,	,	PUNCT
cana-1457	303	9	sensor	sensor	NOUN
cana-1457	303	10	inaccuracies	inaccuracy	NOUN
cana-1457	303	11	,	,	PUNCT
cana-1457	303	12	or	or	CCONJ
cana-1457	303	13	communication	communication	NOUN
cana-1457	303	14	errors	error	NOUN
cana-1457	303	15	.	.	PUNCT
cana-1457	304	1	to	to	PART
cana-1457	304	2	filter	filter	VERB
cana-1457	304	3	out	out	ADP
cana-1457	304	4	noise	noise	NOUN
cana-1457	304	5	,	,	PUNCT
cana-1457	304	6	we	we	PRON
cana-1457	304	7	apply	apply	VERB
cana-1457	304	8	a	a	DET
cana-1457	304	9	moving	move	VERB
cana-1457	304	10	average	average	ADJ
cana-1457	304	11	filter	filter	NOUN
cana-1457	304	12	,	,	PUNCT
cana-1457	304	13	which	which	PRON
cana-1457	304	14	smooths	smooth	VERB
cana-1457	304	15	the	the	DET
cana-1457	304	16	data	datum	NOUN
cana-1457	304	17	by	by	ADP
cana-1457	304	18	averaging	average	VERB
cana-1457	304	19	the	the	DET
cana-1457	304	20	sensor	sensor	NOUN
cana-1457	304	21	readings	reading	VERB
cana-1457	304	22	over	over	ADP
cana-1457	304	23	a	a	DET
cana-1457	304	24	sliding	slide	VERB
cana-1457	304	25	window	window	NOUN
cana-1457	304	26	of	of	ADP
cana-1457	304	27	size	size	NOUN
cana-1457	304	28	𝑤	𝑤	PROPN
cana-1457	304	29	:	:	PUNCT
cana-1457	304	30	𝑆̅(𝑡	𝑆̅(𝑡	ADV
cana-1457	304	31	)	)	PUNCT
cana-1457	304	32	=	=	SYM
cana-1457	305	1	1	1	NUM
cana-1457	305	2	𝑤	𝑤	ADP
cana-1457	305	3	∑	∑	PUNCT
cana-1457	305	4	𝑆(𝑖	𝑆(𝑖	NUM
cana-1457	305	5	)	)	PUNCT
cana-1457	305	6	𝑡	𝑡	ADP
cana-1457	305	7	𝑖=𝑡−𝑤+1	𝑖=𝑡−𝑤+1	NOUN
cana-1457	305	8	where	where	SCONJ
cana-1457	305	9	𝑆̅(𝑡	𝑆̅(𝑡	ADV
cana-1457	305	10	)	)	PUNCT
cana-1457	305	11	is	be	AUX
cana-1457	305	12	the	the	DET
cana-1457	305	13	smoothed	smooth	VERB
cana-1457	305	14	sensor	sensor	NOUN
cana-1457	305	15	reading	read	VERB
cana-1457	305	16	at	at	ADP
cana-1457	305	17	time	time	NOUN
cana-1457	305	18	𝑡	𝑡	PROPN
cana-1457	305	19	,	,	PUNCT
cana-1457	305	20	and	and	CCONJ
cana-1457	305	21	𝑤	𝑤	X
cana-1457	305	22	is	be	AUX
cana-1457	305	23	the	the	DET
cana-1457	305	24	window	window	NOUN
cana-1457	305	25	size	size	NOUN
cana-1457	305	26	.	.	PUNCT
cana-1457	306	1	the	the	DET
cana-1457	306	2	moving	move	VERB
cana-1457	306	3	average	average	ADJ
cana-1457	306	4	filter	filter	NOUN
cana-1457	306	5	reduces	reduce	VERB
cana-1457	306	6	short	short	ADJ
cana-1457	306	7	-	-	PUNCT
cana-1457	306	8	term	term	NOUN
cana-1457	306	9	fluctuations	fluctuation	NOUN
cana-1457	306	10	and	and	CCONJ
cana-1457	306	11	preserves	preserve	VERB
cana-1457	306	12	long	long	ADJ
cana-1457	306	13	-	-	PUNCT
cana-1457	306	14	term	term	NOUN
cana-1457	306	15	trends	trend	NOUN
cana-1457	306	16	in	in	ADP
cana-1457	306	17	the	the	DET
cana-1457	306	18	data	datum	NOUN
cana-1457	306	19	.	.	PUNCT
cana-1457	307	1	in	in	ADP
cana-1457	307	2	addition	addition	NOUN
cana-1457	307	3	to	to	ADP
cana-1457	307	4	noise	noise	NOUN
cana-1457	307	5	filtering	filtering	NOUN
cana-1457	307	6	,	,	PUNCT
cana-1457	307	7	we	we	PRON
cana-1457	307	8	also	also	ADV
cana-1457	307	9	perform	perform	VERB
cana-1457	307	10	outlier	outlier	ADJ
cana-1457	307	11	detection	detection	NOUN
cana-1457	307	12	to	to	PART
cana-1457	307	13	identify	identify	VERB
cana-1457	307	14	and	and	CCONJ
cana-1457	307	15	remove	remove	VERB
cana-1457	307	16	anomalous	anomalous	ADJ
cana-1457	307	17	data	data	NOUN
cana-1457	307	18	points	point	NOUN
cana-1457	307	19	.	.	PUNCT
cana-1457	308	1	outliers	outlier	NOUN
cana-1457	308	2	are	be	AUX
cana-1457	308	3	defined	define	VERB
cana-1457	308	4	as	as	ADP
cana-1457	308	5	readings	reading	NOUN
cana-1457	308	6	that	that	PRON
cana-1457	308	7	deviate	deviate	VERB
cana-1457	308	8	significantly	significantly	ADV
cana-1457	308	9	from	from	ADP
cana-1457	308	10	the	the	DET
cana-1457	308	11	expected	expect	VERB
cana-1457	308	12	range	range	NOUN
cana-1457	308	13	of	of	ADP
cana-1457	308	14	values	value	NOUN
cana-1457	308	15	.	.	PUNCT
cana-1457	309	1	these	these	DET
cana-1457	309	2	outliers	outlier	NOUN
cana-1457	309	3	can	can	AUX
cana-1457	309	4	distort	distort	VERB
cana-1457	309	5	the	the	DET
cana-1457	309	6	model	model	NOUN
cana-1457	309	7	's	's	PART
cana-1457	309	8	predictions	prediction	NOUN
cana-1457	309	9	if	if	SCONJ
cana-1457	309	10	not	not	PART
cana-1457	309	11	handled	handle	VERB
cana-1457	309	12	properly	properly	ADV
cana-1457	309	13	.	.	PUNCT
cana-1457	310	1	we	we	PRON
cana-1457	310	2	use	use	VERB
cana-1457	310	3	z	z	ADJ
cana-1457	310	4	-	-	PUNCT
cana-1457	310	5	score	score	NOUN
cana-1457	310	6	normalization	normalization	NOUN
cana-1457	310	7	to	to	PART
cana-1457	310	8	detect	detect	VERB
cana-1457	310	9	outliers	outlier	NOUN
cana-1457	310	10	:	:	PUNCT
cana-1457	311	1	𝑍𝑖	𝑍𝑖	PROPN
cana-1457	311	2	=	=	SYM
cana-1457	311	3	𝑆𝑖	𝑆𝑖	PROPN
cana-1457	311	4	−	−	NOUN
cana-1457	312	1	μ𝑆	μ𝑆	PROPN
cana-1457	312	2	σ𝑆	σ𝑆	NOUN
cana-1457	312	3	where	where	SCONJ
cana-1457	312	4	𝑆𝑖	𝑆𝑖	PROPN
cana-1457	312	5	is	be	AUX
cana-1457	312	6	the	the	DET
cana-1457	312	7	ith	ith	PROPN
cana-1457	312	8	sensor	sensor	NOUN
cana-1457	312	9	reading	reading	NOUN
cana-1457	312	10	,	,	PUNCT
cana-1457	312	11	μ𝑆	μ𝑆	PROPN
cana-1457	312	12	is	be	AUX
cana-1457	312	13	the	the	DET
cana-1457	312	14	mean	mean	NOUN
cana-1457	312	15	of	of	ADP
cana-1457	312	16	the	the	DET
cana-1457	312	17	sensor	sensor	NOUN
cana-1457	312	18	readings	reading	NOUN
cana-1457	312	19	,	,	PUNCT
cana-1457	312	20	and	and	CCONJ
cana-1457	312	21	σ𝑆	σ𝑆	PROPN
cana-1457	312	22	is	be	AUX
cana-1457	312	23	the	the	DET
cana-1457	312	24	standard	standard	ADJ
cana-1457	312	25	deviation	deviation	NOUN
cana-1457	312	26	.	.	PUNCT
cana-1457	313	1	sensor	sensor	NOUN
cana-1457	313	2	readings	reading	NOUN
cana-1457	313	3	with	with	ADP
cana-1457	313	4	∣𝑍𝑖∣>3	∣𝑍𝑖∣>3	NOUN
cana-1457	313	5	is	be	AUX
cana-1457	313	6	considered	consider	VERB
cana-1457	313	7	outliers	outlier	NOUN
cana-1457	313	8	and	and	CCONJ
cana-1457	313	9	are	be	AUX
cana-1457	313	10	either	either	CCONJ
cana-1457	313	11	removed	remove	VERB
cana-1457	313	12	or	or	CCONJ
cana-1457	313	13	replaced	replace	VERB
cana-1457	313	14	using	use	VERB
cana-1457	313	15	interpolation	interpolation	NOUN
cana-1457	313	16	techniques	technique	NOUN
cana-1457	313	17	.	.	PUNCT
cana-1457	314	1	4.3.3	4.3.3	NUM
cana-1457	314	2	missing	miss	VERB
cana-1457	314	3	data	data	NOUN
cana-1457	314	4	imputation	imputation	NOUN
cana-1457	314	5	missing	miss	VERB
cana-1457	314	6	data	datum	NOUN
cana-1457	314	7	is	be	AUX
cana-1457	314	8	another	another	DET
cana-1457	314	9	common	common	ADJ
cana-1457	314	10	issue	issue	NOUN
cana-1457	314	11	in	in	ADP
cana-1457	314	12	iot	iot	PROPN
cana-1457	314	13	systems	system	NOUN
cana-1457	314	14	,	,	PUNCT
cana-1457	314	15	often	often	ADV
cana-1457	314	16	caused	cause	VERB
cana-1457	314	17	by	by	ADP
cana-1457	314	18	packet	packet	NOUN
cana-1457	314	19	loss	loss	NOUN
cana-1457	314	20	during	during	ADP
cana-1457	314	21	wireless	wireless	ADJ
cana-1457	314	22	transmission	transmission	NOUN
cana-1457	314	23	or	or	CCONJ
cana-1457	314	24	sensor	sensor	NOUN
cana-1457	314	25	malfunction	malfunction	NOUN
cana-1457	314	26	.	.	PUNCT
cana-1457	315	1	to	to	PART
cana-1457	315	2	address	address	VERB
cana-1457	315	3	missing	missing	ADJ
cana-1457	315	4	data	datum	NOUN
cana-1457	315	5	,	,	PUNCT
cana-1457	315	6	we	we	PRON
cana-1457	315	7	employ	employ	VERB
cana-1457	315	8	various	various	ADJ
cana-1457	315	9	imputation	imputation	NOUN
cana-1457	315	10	methods	method	NOUN
cana-1457	315	11	,	,	PUNCT
cana-1457	315	12	depending	depend	VERB
cana-1457	315	13	on	on	ADP
cana-1457	315	14	the	the	DET
cana-1457	315	15	extent	extent	NOUN
cana-1457	315	16	and	and	CCONJ
cana-1457	315	17	pattern	pattern	NOUN
cana-1457	315	18	of	of	ADP
cana-1457	315	19	the	the	DET
cana-1457	315	20	missing	miss	VERB
cana-1457	315	21	data	datum	NOUN
cana-1457	315	22	.	.	PUNCT
cana-1457	316	1	if	if	SCONJ
cana-1457	316	2	the	the	DET
cana-1457	316	3	missing	miss	VERB
cana-1457	316	4	values	value	NOUN
cana-1457	316	5	are	be	AUX
cana-1457	316	6	scattered	scatter	VERB
cana-1457	316	7	randomly	randomly	ADV
cana-1457	316	8	,	,	PUNCT
cana-1457	316	9	we	we	PRON
cana-1457	316	10	use	use	VERB
cana-1457	316	11	linear	linear	ADJ
cana-1457	316	12	interpolation	interpolation	NOUN
cana-1457	316	13	to	to	PART
cana-1457	316	14	estimate	estimate	VERB
cana-1457	316	15	the	the	DET
cana-1457	316	16	missing	miss	VERB
cana-1457	316	17	values	value	NOUN
cana-1457	316	18	based	base	VERB
cana-1457	316	19	on	on	ADP
cana-1457	316	20	neighboring	neighboring	NOUN
cana-1457	316	21	data	data	NOUN
cana-1457	316	22	points	point	NOUN
cana-1457	316	23	:	:	PUNCT
cana-1457	316	24	𝑆missing(𝑡	𝑆missing(𝑡	NOUN
cana-1457	316	25	)	)	PUNCT
cana-1457	316	26	=	=	PUNCT
cana-1457	317	1	𝑆(𝑡	𝑆(𝑡	PUNCT
cana-1457	317	2	−	−	PROPN
cana-1457	317	3	1	1	NUM
cana-1457	317	4	)	)	PUNCT
cana-1457	317	5	+	+	CCONJ
cana-1457	317	6	𝑆(𝑡	𝑆(𝑡	PUNCT
cana-1457	317	7	+	+	NOUN
cana-1457	317	8	1	1	NUM
cana-1457	317	9	)	)	PUNCT
cana-1457	317	10	−	−	NOUN
cana-1457	317	11	𝑆(𝑡	𝑆(𝑡	PUNCT
cana-1457	317	12	−	−	PROPN
cana-1457	317	13	1	1	NUM
cana-1457	317	14	)	)	PUNCT
cana-1457	317	15	2	2	NUM
cana-1457	317	16	this	this	DET
cana-1457	317	17	method	method	NOUN
cana-1457	317	18	assumes	assume	VERB
cana-1457	317	19	that	that	SCONJ
cana-1457	317	20	the	the	DET
cana-1457	317	21	data	data	NOUN
cana-1457	317	22	follows	follow	VERB
cana-1457	317	23	a	a	DET
cana-1457	317	24	linear	linear	ADJ
cana-1457	317	25	trend	trend	NOUN
cana-1457	317	26	between	between	ADP
cana-1457	317	27	consecutive	consecutive	ADJ
cana-1457	317	28	points	point	NOUN
cana-1457	317	29	,	,	PUNCT
cana-1457	317	30	which	which	PRON
cana-1457	317	31	is	be	AUX
cana-1457	317	32	valid	valid	ADJ
cana-1457	317	33	for	for	ADP
cana-1457	317	34	environmental	environmental	ADJ
cana-1457	317	35	variables	variable	NOUN
cana-1457	317	36	like	like	ADP
cana-1457	317	37	temperature	temperature	NOUN
cana-1457	317	38	and	and	CCONJ
cana-1457	317	39	humidity	humidity	NOUN
cana-1457	317	40	.	.	PUNCT
cana-1457	318	1	for	for	ADP
cana-1457	318	2	larger	large	ADJ
cana-1457	318	3	gaps	gap	NOUN
cana-1457	318	4	in	in	ADP
cana-1457	318	5	the	the	DET
cana-1457	318	6	data	datum	NOUN
cana-1457	318	7	,	,	PUNCT
cana-1457	318	8	we	we	PRON
cana-1457	318	9	use	use	VERB
cana-1457	318	10	forward	forward	ADV
cana-1457	318	11	filling	filling	NOUN
cana-1457	318	12	,	,	PUNCT
cana-1457	318	13	where	where	SCONJ
cana-1457	318	14	missing	missing	ADJ
cana-1457	318	15	values	value	NOUN
cana-1457	318	16	are	be	AUX
cana-1457	318	17	filled	fill	VERB
cana-1457	318	18	by	by	ADP
cana-1457	318	19	the	the	DET
cana-1457	318	20	last	last	ADJ
cana-1457	318	21	available	available	ADJ
cana-1457	318	22	reading	reading	NOUN
cana-1457	318	23	:	:	PUNCT
cana-1457	318	24	𝑆missing(𝑡	𝑆missing(𝑡	NOUN
cana-1457	318	25	)	)	PUNCT
cana-1457	318	26	=	=	PUNCT
cana-1457	318	27	𝑆(𝑡	𝑆(𝑡	PUNCT
cana-1457	318	28	−	−	PROPN
cana-1457	318	29	1	1	NUM
cana-1457	318	30	)	)	PUNCT
cana-1457	318	31	,	,	PUNCT
cana-1457	318	32	for	for	ADP
cana-1457	318	33	all	all	DET
cana-1457	318	34	𝑡	𝑡	ADP
cana-1457	318	35	∈	∈	PROPN
cana-1457	318	36	[	[	X
cana-1457	318	37	𝑡1	𝑡1	NOUN
cana-1457	318	38	,	,	PUNCT
cana-1457	318	39	𝑡2	𝑡2	PROPN
cana-1457	318	40	]	]	PUNCT
cana-1457	319	1	where	where	SCONJ
cana-1457	319	2	𝑆(𝑡1	𝑆(𝑡1	PROPN
cana-1457	319	3	)	)	PUNCT
cana-1457	319	4	≠	≠	PROPN
cana-1457	319	5	nan	nan	PROPN
cana-1457	319	6	and	and	CCONJ
cana-1457	319	7	𝑆(𝑡2	𝑆(𝑡2	PROPN
cana-1457	319	8	)	)	PUNCT
cana-1457	319	9	=	=	SYM
cana-1457	319	10	nan	nan	PROPN
cana-1457	319	11	in	in	ADP
cana-1457	319	12	scenarios	scenario	NOUN
cana-1457	319	13	where	where	SCONJ
cana-1457	319	14	both	both	DET
cana-1457	319	15	forward	forward	ADV
cana-1457	319	16	filling	filling	NOUN
cana-1457	319	17	and	and	CCONJ
cana-1457	319	18	interpolation	interpolation	NOUN
cana-1457	319	19	are	be	AUX
cana-1457	319	20	insufficient	insufficient	ADJ
cana-1457	319	21	,	,	PUNCT
cana-1457	319	22	we	we	PRON
cana-1457	319	23	employ	employ	VERB
cana-1457	319	24	machine	machine	NOUN
cana-1457	319	25	learningbased	learningbase	VERB
cana-1457	319	26	imputation	imputation	NOUN
cana-1457	319	27	methods	method	NOUN
cana-1457	319	28	,	,	PUNCT
cana-1457	319	29	such	such	ADJ
cana-1457	319	30	as	as	ADP
cana-1457	319	31	using	use	VERB
cana-1457	319	32	k	k	NOUN
cana-1457	319	33	-	-	PUNCT
cana-1457	319	34	nearest	near	ADJ
cana-1457	319	35	neighbors	neighbor	NOUN
cana-1457	319	36	(	(	PUNCT
cana-1457	319	37	knn	knn	PROPN
cana-1457	319	38	)	)	PUNCT
cana-1457	319	39	to	to	PART
cana-1457	319	40	predict	predict	VERB
cana-1457	319	41	missing	missing	ADJ
cana-1457	319	42	values	value	NOUN
cana-1457	319	43	.	.	PUNCT
cana-1457	320	1	in	in	ADP
cana-1457	320	2	this	this	DET
cana-1457	320	3	approach	approach	NOUN
cana-1457	320	4	,	,	PUNCT
cana-1457	320	5	the	the	DET
cana-1457	320	6	missing	miss	VERB
cana-1457	320	7	values	value	NOUN
cana-1457	320	8	are	be	AUX
cana-1457	320	9	filled	fill	VERB
cana-1457	320	10	based	base	VERB
cana-1457	320	11	on	on	ADP
cana-1457	320	12	the	the	DET
cana-1457	320	13	most	most	ADV
cana-1457	320	14	similar	similar	ADJ
cana-1457	320	15	data	datum	NOUN
cana-1457	320	16	points	point	NOUN
cana-1457	320	17	in	in	ADP
cana-1457	320	18	the	the	DET
cana-1457	320	19	dataset	dataset	NOUN
cana-1457	320	20	.	.	PUNCT
cana-1457	321	1	4.3.4	4.3.4	NUM
cana-1457	321	2	feature	feature	NOUN
cana-1457	321	3	scaling	scale	VERB
cana-1457	321	4	the	the	DET
cana-1457	321	5	collected	collect	VERB
cana-1457	321	6	data	datum	NOUN
cana-1457	321	7	often	often	ADV
cana-1457	321	8	contains	contain	VERB
cana-1457	321	9	features	feature	NOUN
cana-1457	321	10	with	with	ADP
cana-1457	321	11	different	different	ADJ
cana-1457	321	12	units	unit	NOUN
cana-1457	321	13	and	and	CCONJ
cana-1457	321	14	ranges	range	NOUN
cana-1457	321	15	.	.	PUNCT
cana-1457	322	1	for	for	ADP
cana-1457	322	2	example	example	NOUN
cana-1457	322	3	,	,	PUNCT
cana-1457	322	4	temperature	temperature	NOUN
cana-1457	322	5	is	be	AUX
cana-1457	322	6	measured	measure	VERB
cana-1457	322	7	in	in	ADP
cana-1457	322	8	degrees	degree	NOUN
cana-1457	322	9	celsius	celsius	NOUN
cana-1457	322	10	,	,	PUNCT
cana-1457	322	11	humidity	humidity	NOUN
cana-1457	322	12	is	be	AUX
cana-1457	322	13	expressed	express	VERB
cana-1457	322	14	as	as	ADP
cana-1457	322	15	a	a	DET
cana-1457	322	16	percentage	percentage	NOUN
cana-1457	322	17	,	,	PUNCT
cana-1457	322	18	and	and	CCONJ
cana-1457	322	19	moisture	moisture	NOUN
cana-1457	322	20	content	content	NOUN
cana-1457	322	21	is	be	AUX
cana-1457	322	22	also	also	ADV
cana-1457	322	23	given	give	VERB
cana-1457	322	24	as	as	ADP
cana-1457	322	25	a	a	DET
cana-1457	322	26	percentage	percentage	NOUN
cana-1457	322	27	.	.	PUNCT
cana-1457	323	1	machine	machine	NOUN
cana-1457	323	2	learning	learning	NOUN
cana-1457	323	3	models	model	NOUN
cana-1457	323	4	like	like	ADP
cana-1457	323	5	xgboost	xgboost	ADV
cana-1457	323	6	are	be	AUX
cana-1457	323	7	sensitive	sensitive	ADJ
cana-1457	323	8	to	to	ADP
cana-1457	323	9	the	the	DET
cana-1457	323	10	scale	scale	NOUN
cana-1457	323	11	of	of	ADP
cana-1457	323	12	the	the	DET
cana-1457	323	13	input	input	NOUN
cana-1457	323	14	features	feature	NOUN
cana-1457	323	15	,	,	PUNCT
cana-1457	323	16	so	so	CCONJ
cana-1457	323	17	feature	feature	NOUN
cana-1457	323	18	scaling	scaling	NOUN
cana-1457	323	19	is	be	AUX
cana-1457	323	20	essential	essential	ADJ
cana-1457	323	21	to	to	PART
cana-1457	323	22	ensure	ensure	VERB
cana-1457	323	23	that	that	SCONJ
cana-1457	323	24	all	all	DET
cana-1457	323	25	features	feature	NOUN
cana-1457	323	26	contribute	contribute	VERB
cana-1457	323	27	equally	equally	ADV
cana-1457	323	28	to	to	ADP
cana-1457	323	29	the	the	DET
cana-1457	323	30	model	model	NOUN
cana-1457	323	31	.	.	PUNCT
cana-1457	324	1	we	we	PRON
cana-1457	324	2	use	use	VERB
cana-1457	324	3	minmax	minmax	ADJ
cana-1457	324	4	normalization	normalization	NOUN
cana-1457	324	5	to	to	PART
cana-1457	324	6	scale	scale	VERB
cana-1457	324	7	the	the	DET
cana-1457	324	8	features	feature	NOUN
cana-1457	324	9	within	within	ADP
cana-1457	324	10	the	the	DET
cana-1457	324	11	range	range	NOUN
cana-1457	324	12	[	[	X
cana-1457	324	13	0	0	NUM
cana-1457	324	14	,	,	PUNCT
cana-1457	324	15	1	1	NUM
cana-1457	324	16	]	]	NOUN
cana-1457	324	17	:	:	PUNCT
cana-1457	324	18	communications	communication	NOUN
cana-1457	324	19	on	on	ADP
cana-1457	324	20	applied	apply	VERB
cana-1457	324	21	nonlinear	nonlinear	ADJ
cana-1457	324	22	analysis	analysis	NOUN
cana-1457	324	23	issn	issn	NOUN
cana-1457	324	24	:	:	PUNCT
cana-1457	324	25	1074	1074	NUM
cana-1457	324	26	-	-	PUNCT
cana-1457	324	27	133x	133x	NUM
cana-1457	324	28	vol	vol	NOUN
cana-1457	324	29	31	31	NUM
cana-1457	324	30	no	no	NOUN
cana-1457	324	31	.	.	PUNCT
cana-1457	325	1	8s	8s	PROPN
cana-1457	325	2	(	(	PUNCT
cana-1457	325	3	2024	2024	NUM
cana-1457	325	4	)	)	PUNCT
cana-1457	325	5	72	72	NUM
cana-1457	325	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1457	325	7	𝑆scaled(𝑡	𝑆scaled(𝑡	NOUN
cana-1457	325	8	)	)	PUNCT
cana-1457	325	9	=	=	PUNCT
cana-1457	325	10	𝑆(𝑡	𝑆(𝑡	VERB
cana-1457	325	11	)	)	PUNCT
cana-1457	325	12	−	−	PROPN
cana-1457	325	13	𝑆min	𝑆min	PROPN
cana-1457	325	14	𝑆max	𝑆max	PROPN
cana-1457	325	15	−	−	PROPN
cana-1457	326	1	𝑆min	𝑆min	PROPN
cana-1457	326	2	where	where	SCONJ
cana-1457	326	3	𝑆min	𝑆min	PROPN
cana-1457	326	4	and	and	CCONJ
cana-1457	326	5	𝑆max	𝑆max	PROPN
cana-1457	326	6	represent	represent	VERB
cana-1457	326	7	the	the	DET
cana-1457	326	8	minimum	minimum	ADJ
cana-1457	326	9	and	and	CCONJ
cana-1457	326	10	maximum	maximum	ADJ
cana-1457	326	11	values	value	NOUN
cana-1457	326	12	observed	observe	VERB
cana-1457	326	13	for	for	ADP
cana-1457	326	14	the	the	DET
cana-1457	326	15	sensor	sensor	NOUN
cana-1457	326	16	readings	reading	NOUN
cana-1457	326	17	during	during	ADP
cana-1457	326	18	the	the	DET
cana-1457	326	19	withering	wither	VERB
cana-1457	326	20	process	process	NOUN
cana-1457	326	21	.	.	PUNCT
cana-1457	327	1	this	this	DET
cana-1457	327	2	normalization	normalization	NOUN
cana-1457	327	3	ensures	ensure	VERB
cana-1457	327	4	that	that	SCONJ
cana-1457	327	5	all	all	DET
cana-1457	327	6	features	feature	NOUN
cana-1457	327	7	are	be	AUX
cana-1457	327	8	treated	treat	VERB
cana-1457	327	9	equally	equally	ADV
cana-1457	327	10	by	by	ADP
cana-1457	327	11	the	the	DET
cana-1457	327	12	machine	machine	NOUN
cana-1457	327	13	learning	learning	NOUN
cana-1457	327	14	models	model	NOUN
cana-1457	327	15	.	.	PUNCT
cana-1457	328	1	4.3.5	4.3.5	NUM
cana-1457	328	2	feature	feature	NOUN
cana-1457	328	3	engineering	engineering	NOUN
cana-1457	328	4	feature	feature	NOUN
cana-1457	328	5	engineering	engineering	NOUN
cana-1457	328	6	is	be	AUX
cana-1457	328	7	the	the	DET
cana-1457	328	8	process	process	NOUN
cana-1457	328	9	of	of	ADP
cana-1457	328	10	creating	create	VERB
cana-1457	328	11	new	new	ADJ
cana-1457	328	12	features	feature	NOUN
cana-1457	328	13	that	that	PRON
cana-1457	328	14	can	can	AUX
cana-1457	328	15	improve	improve	VERB
cana-1457	328	16	the	the	DET
cana-1457	328	17	performance	performance	NOUN
cana-1457	328	18	of	of	ADP
cana-1457	328	19	the	the	DET
cana-1457	328	20	machine	machine	NOUN
cana-1457	328	21	learning	learning	NOUN
cana-1457	328	22	models	model	NOUN
cana-1457	328	23	.	.	PUNCT
cana-1457	329	1	in	in	ADP
cana-1457	329	2	this	this	DET
cana-1457	329	3	case	case	NOUN
cana-1457	329	4	,	,	PUNCT
cana-1457	329	5	we	we	PRON
cana-1457	329	6	generate	generate	VERB
cana-1457	329	7	additional	additional	ADJ
cana-1457	329	8	features	feature	NOUN
cana-1457	329	9	based	base	VERB
cana-1457	329	10	on	on	ADP
cana-1457	329	11	the	the	DET
cana-1457	329	12	interactions	interaction	NOUN
cana-1457	329	13	between	between	ADP
cana-1457	329	14	the	the	DET
cana-1457	329	15	temperature	temperature	NOUN
cana-1457	329	16	,	,	PUNCT
cana-1457	329	17	humidity	humidity	NOUN
cana-1457	329	18	,	,	PUNCT
cana-1457	329	19	and	and	CCONJ
cana-1457	329	20	moisture	moisture	NOUN
cana-1457	329	21	content	content	NOUN
cana-1457	329	22	.	.	PUNCT
cana-1457	330	1	for	for	ADP
cana-1457	330	2	instance	instance	NOUN
cana-1457	330	3	,	,	PUNCT
cana-1457	330	4	the	the	DET
cana-1457	330	5	interaction	interaction	NOUN
cana-1457	330	6	term	term	NOUN
cana-1457	330	7	between	between	ADP
cana-1457	330	8	temperature	temperature	NOUN
cana-1457	330	9	and	and	CCONJ
cana-1457	330	10	humidity	humidity	NOUN
cana-1457	330	11	can	can	AUX
cana-1457	330	12	provide	provide	VERB
cana-1457	330	13	insights	insight	NOUN
cana-1457	330	14	into	into	ADP
cana-1457	330	15	how	how	SCONJ
cana-1457	330	16	these	these	DET
cana-1457	330	17	variables	variable	NOUN
cana-1457	330	18	jointly	jointly	ADV
cana-1457	330	19	influence	influence	VERB
cana-1457	330	20	the	the	DET
cana-1457	330	21	withering	wither	VERB
cana-1457	330	22	process	process	NOUN
cana-1457	330	23	:	:	PUNCT
cana-1457	330	24	interaction(𝑇	interaction(𝑇	NOUN
cana-1457	330	25	,	,	PUNCT
cana-1457	330	26	𝐻	𝐻	PROPN
cana-1457	330	27	)	)	PUNCT
cana-1457	330	28	=	=	SYM
cana-1457	331	1	𝑇(𝑡	𝑇(𝑡	X
cana-1457	331	2	)	)	PUNCT
cana-1457	331	3	⋅	⋅	PROPN
cana-1457	331	4	𝐻(𝑡	𝐻(𝑡	NUM
cana-1457	331	5	)	)	PUNCT
cana-1457	331	6	we	we	PRON
cana-1457	331	7	also	also	ADV
cana-1457	331	8	compute	compute	VERB
cana-1457	331	9	the	the	DET
cana-1457	331	10	rate	rate	NOUN
cana-1457	331	11	of	of	ADP
cana-1457	331	12	change	change	NOUN
cana-1457	331	13	of	of	ADP
cana-1457	331	14	each	each	DET
cana-1457	331	15	variable	variable	NOUN
cana-1457	331	16	to	to	PART
cana-1457	331	17	capture	capture	VERB
cana-1457	331	18	the	the	DET
cana-1457	331	19	dynamic	dynamic	ADJ
cana-1457	331	20	behavior	behavior	NOUN
cana-1457	331	21	of	of	ADP
cana-1457	331	22	the	the	DET
cana-1457	331	23	environment	environment	NOUN
cana-1457	331	24	.	.	PUNCT
cana-1457	332	1	the	the	DET
cana-1457	332	2	rate	rate	NOUN
cana-1457	332	3	of	of	ADP
cana-1457	332	4	change	change	NOUN
cana-1457	332	5	of	of	ADP
cana-1457	332	6	temperature	temperature	NOUN
cana-1457	332	7	,	,	PUNCT
cana-1457	332	8	for	for	ADP
cana-1457	332	9	example	example	NOUN
cana-1457	332	10	,	,	PUNCT
cana-1457	332	11	is	be	AUX
cana-1457	332	12	given	give	VERB
cana-1457	332	13	by	by	ADP
cana-1457	332	14	the	the	DET
cana-1457	332	15	following	following	ADJ
cana-1457	332	16	finite	finite	ADJ
cana-1457	332	17	difference	difference	NOUN
cana-1457	332	18	approximation	approximation	NOUN
cana-1457	332	19	:	:	PUNCT
cana-1457	332	20	δ𝑇(𝑡	δ𝑇(𝑡	X
cana-1457	332	21	)	)	PUNCT
cana-1457	332	22	=	=	SYM
cana-1457	333	1	𝑇(𝑡	𝑇(𝑡	NUM
cana-1457	333	2	)	)	PUNCT
cana-1457	333	3	−	−	PROPN
cana-1457	333	4	𝑇(𝑡	𝑇(𝑡	NUM
cana-1457	333	5	−	−	PROPN
cana-1457	333	6	1	1	NUM
cana-1457	333	7	)	)	PUNCT
cana-1457	333	8	δ𝑡	δ𝑡	NOUN
cana-1457	333	9	where	where	SCONJ
cana-1457	333	10	δ𝑡	δ𝑡	PROPN
cana-1457	333	11	is	be	AUX
cana-1457	333	12	the	the	DET
cana-1457	333	13	time	time	NOUN
cana-1457	333	14	interval	interval	NOUN
cana-1457	333	15	between	between	ADP
cana-1457	333	16	consecutive	consecutive	ADJ
cana-1457	333	17	sensor	sensor	NOUN
cana-1457	333	18	readings	reading	NOUN
cana-1457	333	19	.	.	PUNCT
cana-1457	334	1	similar	similar	ADJ
cana-1457	334	2	rates	rate	NOUN
cana-1457	334	3	of	of	ADP
cana-1457	334	4	change	change	NOUN
cana-1457	334	5	are	be	AUX
cana-1457	334	6	computed	compute	VERB
cana-1457	334	7	for	for	ADP
cana-1457	334	8	humidity	humidity	NOUN
cana-1457	334	9	and	and	CCONJ
cana-1457	334	10	moisture	moisture	NOUN
cana-1457	334	11	content	content	NOUN
cana-1457	334	12	.	.	PUNCT
cana-1457	335	1	these	these	DET
cana-1457	335	2	derived	derive	VERB
cana-1457	335	3	features	feature	NOUN
cana-1457	335	4	are	be	AUX
cana-1457	335	5	combined	combine	VERB
cana-1457	335	6	with	with	ADP
cana-1457	335	7	the	the	DET
cana-1457	335	8	raw	raw	ADJ
cana-1457	335	9	sensor	sensor	NOUN
cana-1457	335	10	readings	reading	NOUN
cana-1457	335	11	to	to	PART
cana-1457	335	12	form	form	VERB
cana-1457	335	13	a	a	DET
cana-1457	335	14	comprehensive	comprehensive	ADJ
cana-1457	335	15	feature	feature	NOUN
cana-1457	335	16	set	set	NOUN
cana-1457	335	17	that	that	PRON
cana-1457	335	18	improves	improve	VERB
cana-1457	335	19	the	the	DET
cana-1457	335	20	model	model	NOUN
cana-1457	335	21	's	's	PART
cana-1457	335	22	ability	ability	NOUN
cana-1457	335	23	to	to	PART
cana-1457	335	24	predict	predict	VERB
cana-1457	335	25	the	the	DET
cana-1457	335	26	moisture	moisture	NOUN
cana-1457	335	27	content	content	NOUN
cana-1457	335	28	.	.	PUNCT
cana-1457	336	1	in	in	ADP
cana-1457	336	2	addition	addition	NOUN
cana-1457	336	3	to	to	ADP
cana-1457	336	4	interaction	interaction	NOUN
cana-1457	336	5	terms	term	NOUN
cana-1457	336	6	and	and	CCONJ
cana-1457	336	7	rates	rate	NOUN
cana-1457	336	8	of	of	ADP
cana-1457	336	9	change	change	NOUN
cana-1457	336	10	,	,	PUNCT
cana-1457	336	11	we	we	PRON
cana-1457	336	12	also	also	ADV
cana-1457	336	13	apply	apply	VERB
cana-1457	336	14	polynomial	polynomial	ADJ
cana-1457	336	15	transformations	transformation	NOUN
cana-1457	336	16	to	to	PART
cana-1457	336	17	capture	capture	VERB
cana-1457	336	18	non	non	ADJ
cana-1457	336	19	-	-	ADJ
cana-1457	336	20	linear	linear	ADJ
cana-1457	336	21	relationships	relationship	NOUN
cana-1457	336	22	between	between	ADP
cana-1457	336	23	the	the	DET
cana-1457	336	24	features	feature	NOUN
cana-1457	336	25	.	.	PUNCT
cana-1457	337	1	for	for	ADP
cana-1457	337	2	example	example	NOUN
cana-1457	337	3	,	,	PUNCT
cana-1457	337	4	the	the	DET
cana-1457	337	5	quadratic	quadratic	ADJ
cana-1457	337	6	term	term	NOUN
cana-1457	337	7	for	for	ADP
cana-1457	337	8	temperature	temperature	NOUN
cana-1457	337	9	is	be	AUX
cana-1457	337	10	given	give	VERB
cana-1457	337	11	by	by	ADP
cana-1457	337	12	:	:	PUNCT
cana-1457	337	13	𝑇quad(𝑡	𝑇quad(𝑡	NOUN
cana-1457	337	14	)	)	PUNCT
cana-1457	337	15	=	=	PUNCT
cana-1457	338	1	𝑇(𝑡)2	𝑇(𝑡)2	VERB
cana-1457	338	2	these	these	DET
cana-1457	338	3	transformations	transformation	NOUN
cana-1457	338	4	help	help	VERB
cana-1457	338	5	capture	capture	VERB
cana-1457	338	6	more	more	ADV
cana-1457	338	7	complex	complex	ADJ
cana-1457	338	8	patterns	pattern	NOUN
cana-1457	338	9	in	in	ADP
cana-1457	338	10	the	the	DET
cana-1457	338	11	data	data	NOUN
cana-1457	338	12	,	,	PUNCT
cana-1457	338	13	allowing	allow	VERB
cana-1457	338	14	the	the	DET
cana-1457	338	15	machine	machine	NOUN
cana-1457	338	16	learning	learning	NOUN
cana-1457	338	17	models	model	NOUN
cana-1457	338	18	to	to	PART
cana-1457	338	19	make	make	VERB
cana-1457	338	20	more	more	ADV
cana-1457	338	21	accurate	accurate	ADJ
cana-1457	338	22	predictions	prediction	NOUN
cana-1457	338	23	.	.	PUNCT
cana-1457	339	1	4.3.6	4.3.6	NUM
cana-1457	339	2	dimensionality	dimensionality	NOUN
cana-1457	339	3	reduction	reduction	NOUN
cana-1457	339	4	high	high	ADV
cana-1457	339	5	-	-	PUNCT
cana-1457	339	6	dimensional	dimensional	ADJ
cana-1457	339	7	feature	feature	NOUN
cana-1457	339	8	sets	set	NOUN
cana-1457	339	9	can	can	AUX
cana-1457	339	10	lead	lead	VERB
cana-1457	339	11	to	to	ADP
cana-1457	339	12	overfitting	overfitte	VERB
cana-1457	339	13	and	and	CCONJ
cana-1457	339	14	increased	increase	VERB
cana-1457	339	15	computational	computational	ADJ
cana-1457	339	16	complexity	complexity	NOUN
cana-1457	339	17	.	.	PUNCT
cana-1457	340	1	to	to	PART
cana-1457	340	2	reduce	reduce	VERB
cana-1457	340	3	the	the	DET
cana-1457	340	4	dimensionality	dimensionality	NOUN
cana-1457	340	5	of	of	ADP
cana-1457	340	6	the	the	DET
cana-1457	340	7	feature	feature	NOUN
cana-1457	340	8	space	space	NOUN
cana-1457	340	9	,	,	PUNCT
cana-1457	340	10	we	we	PRON
cana-1457	340	11	use	use	VERB
cana-1457	340	12	principal	principal	ADJ
cana-1457	340	13	component	component	NOUN
cana-1457	340	14	analysis	analysis	NOUN
cana-1457	340	15	(	(	PUNCT
cana-1457	340	16	pca	pca	NOUN
cana-1457	340	17	)	)	PUNCT
cana-1457	340	18	,	,	PUNCT
cana-1457	340	19	which	which	PRON
cana-1457	340	20	projects	project	VERB
cana-1457	340	21	the	the	DET
cana-1457	340	22	data	datum	NOUN
cana-1457	340	23	onto	onto	ADP
cana-1457	340	24	a	a	DET
cana-1457	340	25	lower	lower	ADV
cana-1457	340	26	-	-	PUNCT
cana-1457	340	27	dimensional	dimensional	ADJ
cana-1457	340	28	subspace	subspace	NOUN
cana-1457	340	29	while	while	SCONJ
cana-1457	340	30	retaining	retain	VERB
cana-1457	340	31	the	the	DET
cana-1457	340	32	most	most	ADV
cana-1457	340	33	important	important	ADJ
cana-1457	340	34	information	information	NOUN
cana-1457	340	35	.	.	PUNCT
cana-1457	341	1	the	the	DET
cana-1457	341	2	first	first	ADJ
cana-1457	341	3	step	step	NOUN
cana-1457	341	4	in	in	ADP
cana-1457	341	5	pca	pca	PROPN
cana-1457	341	6	is	be	AUX
cana-1457	341	7	to	to	PART
cana-1457	341	8	compute	compute	VERB
cana-1457	341	9	the	the	DET
cana-1457	341	10	covariance	covariance	NOUN
cana-1457	341	11	matrix	matrix	NOUN
cana-1457	341	12	of	of	ADP
cana-1457	341	13	the	the	DET
cana-1457	341	14	feature	feature	NOUN
cana-1457	341	15	set	set	NOUN
cana-1457	341	16	:	:	PUNCT
cana-1457	341	17	𝑆pa(𝑡	𝑆pa(𝑡	ADJ
cana-1457	341	18	)	)	PUNCT
cana-1457	341	19	=	=	SYM
cana-1457	341	20	𝑉pa(𝑡	𝑉pa(𝑡	PROPN
cana-1457	341	21	)	)	PUNCT
cana-1457	342	1	−	−	PROPN
cana-1457	342	2	𝜇𝑆	𝜇𝑆	NOUN
cana-1457	342	3	where	where	SCONJ
cana-1457	342	4	𝜇𝑆	𝜇𝑆	NOUN
cana-1457	342	5	is	be	AUX
cana-1457	342	6	the	the	DET
cana-1457	342	7	mean	mean	ADJ
cana-1457	342	8	vector	vector	NOUN
cana-1457	342	9	of	of	ADP
cana-1457	342	10	the	the	DET
cana-1457	342	11	sensor	sensor	NOUN
cana-1457	342	12	readings	reading	VERB
cana-1457	342	13	.	.	PUNCT
cana-1457	343	1	the	the	DET
cana-1457	343	2	eigenvectors	eigenvector	NOUN
cana-1457	343	3	of	of	ADP
cana-1457	343	4	the	the	DET
cana-1457	343	5	covariance	covariance	NOUN
cana-1457	343	6	matrix	matrix	NOUN
cana-1457	343	7	represent	represent	VERB
cana-1457	343	8	the	the	DET
cana-1457	343	9	principal	principal	ADJ
cana-1457	343	10	components	component	NOUN
cana-1457	343	11	,	,	PUNCT
cana-1457	343	12	and	and	CCONJ
cana-1457	343	13	the	the	DET
cana-1457	343	14	data	datum	NOUN
cana-1457	343	15	is	be	AUX
cana-1457	343	16	projected	project	VERB
cana-1457	343	17	onto	onto	ADP
cana-1457	343	18	these	these	DET
cana-1457	343	19	components	component	NOUN
cana-1457	343	20	to	to	PART
cana-1457	343	21	reduce	reduce	VERB
cana-1457	343	22	its	its	PRON
cana-1457	343	23	dimensionality	dimensionality	NOUN
cana-1457	343	24	.	.	PUNCT
cana-1457	344	1	here	here	ADV
cana-1457	344	2	,	,	PUNCT
cana-1457	344	3	𝑉pa(t	𝑉pa(t	PROPN
cana-1457	344	4	)	)	PUNCT
cana-1457	344	5	is	be	AUX
cana-1457	344	6	the	the	DET
cana-1457	344	7	matrix	matrix	NOUN
cana-1457	344	8	of	of	ADP
cana-1457	344	9	eigenvectors	eigenvector	NOUN
cana-1457	344	10	,	,	PUNCT
cana-1457	344	11	and	and	CCONJ
cana-1457	344	12	𝑆pa(𝑡	𝑆pa(𝑡	ADJ
cana-1457	344	13	)	)	PUNCT
cana-1457	344	14	represents	represent	VERB
cana-1457	344	15	the	the	DET
cana-1457	344	16	sensor	sensor	NOUN
cana-1457	344	17	readings	reading	NOUN
cana-1457	344	18	projected	project	VERB
cana-1457	344	19	onto	onto	ADP
cana-1457	344	20	the	the	DET
cana-1457	344	21	principal	principal	ADJ
cana-1457	344	22	components	component	NOUN
cana-1457	344	23	.	.	PUNCT
cana-1457	345	1	by	by	ADP
cana-1457	345	2	selecting	select	VERB
cana-1457	345	3	only	only	ADV
cana-1457	345	4	,	,	PUNCT
cana-1457	345	5	the	the	DET
cana-1457	345	6	top	top	ADJ
cana-1457	345	7	principal	principal	ADJ
cana-1457	345	8	components	component	NOUN
cana-1457	345	9	,	,	PUNCT
cana-1457	345	10	we	we	PRON
cana-1457	345	11	retain	retain	VERB
cana-1457	345	12	the	the	DET
cana-1457	345	13	most	most	ADV
cana-1457	345	14	important	important	ADJ
cana-1457	345	15	information	information	NOUN
cana-1457	345	16	while	while	SCONJ
cana-1457	345	17	discarding	discard	VERB
cana-1457	345	18	noise	noise	NOUN
cana-1457	345	19	and	and	CCONJ
cana-1457	345	20	redundant	redundant	ADJ
cana-1457	345	21	features	feature	NOUN
cana-1457	345	22	.	.	PUNCT
cana-1457	346	1	communications	communication	NOUN
cana-1457	346	2	on	on	ADP
cana-1457	346	3	applied	apply	VERB
cana-1457	346	4	nonlinear	nonlinear	ADJ
cana-1457	346	5	analysis	analysis	NOUN
cana-1457	346	6	issn	issn	NOUN
cana-1457	346	7	:	:	PUNCT
cana-1457	346	8	1074	1074	NUM
cana-1457	346	9	-	-	PUNCT
cana-1457	346	10	133x	133x	NUM
cana-1457	346	11	vol	vol	NOUN
cana-1457	346	12	31	31	NUM
cana-1457	346	13	no	no	NOUN
cana-1457	346	14	.	.	PUNCT
cana-1457	347	1	8s	8s	PROPN
cana-1457	347	2	(	(	PUNCT
cana-1457	347	3	2024	2024	NUM
cana-1457	347	4	)	)	PUNCT
cana-1457	347	5	73	73	NUM
cana-1457	347	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	347	7	4.3.7	4.3.7	NUM
cana-1457	347	8	data	datum	NOUN
cana-1457	347	9	transformation	transformation	NOUN
cana-1457	347	10	for	for	ADP
cana-1457	347	11	machine	machine	NOUN
cana-1457	347	12	learning	learning	NOUN
cana-1457	347	13	after	after	ADP
cana-1457	347	14	preprocessing	preprocesse	VERB
cana-1457	347	15	,	,	PUNCT
cana-1457	347	16	the	the	DET
cana-1457	347	17	final	final	ADJ
cana-1457	347	18	feature	feature	NOUN
cana-1457	347	19	set	set	NOUN
cana-1457	347	20	is	be	AUX
cana-1457	347	21	transformed	transform	VERB
cana-1457	347	22	into	into	ADP
cana-1457	347	23	a	a	DET
cana-1457	347	24	format	format	NOUN
cana-1457	347	25	suitable	suitable	ADJ
cana-1457	347	26	for	for	ADP
cana-1457	347	27	machine	machine	NOUN
cana-1457	347	28	learning	learning	NOUN
cana-1457	347	29	models	model	NOUN
cana-1457	347	30	.	.	PUNCT
cana-1457	348	1	4.4	4.4	NUM
cana-1457	348	2	.	.	PUNCT
cana-1457	348	3	machine	machine	NOUN
cana-1457	348	4	learning	learning	PROPN
cana-1457	348	5	model	model	PROPN
cana-1457	348	6	development	development	PROPN
cana-1457	348	7	the	the	DET
cana-1457	348	8	development	development	NOUN
cana-1457	348	9	of	of	ADP
cana-1457	348	10	machine	machine	NOUN
cana-1457	348	11	learning	learning	NOUN
cana-1457	348	12	models	model	NOUN
cana-1457	348	13	for	for	ADP
cana-1457	348	14	the	the	DET
cana-1457	348	15	tea	tea	NOUN
cana-1457	348	16	withering	wither	VERB
cana-1457	348	17	process	process	NOUN
cana-1457	348	18	is	be	AUX
cana-1457	348	19	a	a	DET
cana-1457	348	20	crucial	crucial	ADJ
cana-1457	348	21	step	step	NOUN
cana-1457	348	22	in	in	ADP
cana-1457	348	23	optimizing	optimize	VERB
cana-1457	348	24	environmental	environmental	ADJ
cana-1457	348	25	factors	factor	NOUN
cana-1457	348	26	and	and	CCONJ
cana-1457	348	27	ensuring	ensure	VERB
cana-1457	348	28	the	the	DET
cana-1457	348	29	best	good	ADJ
cana-1457	348	30	quality	quality	NOUN
cana-1457	348	31	output	output	NOUN
cana-1457	348	32	.	.	PUNCT
cana-1457	349	1	after	after	ADP
cana-1457	349	2	preprocessing	preprocesse	VERB
cana-1457	349	3	the	the	DET
cana-1457	349	4	sensor	sensor	NOUN
cana-1457	349	5	data	datum	NOUN
cana-1457	349	6	,	,	PUNCT
cana-1457	349	7	it	it	PRON
cana-1457	349	8	is	be	AUX
cana-1457	349	9	vital	vital	ADJ
cana-1457	349	10	to	to	PART
cana-1457	349	11	choose	choose	VERB
cana-1457	349	12	models	model	NOUN
cana-1457	349	13	that	that	PRON
cana-1457	349	14	can	can	AUX
cana-1457	349	15	handle	handle	VERB
cana-1457	349	16	the	the	DET
cana-1457	349	17	dynamic	dynamic	ADJ
cana-1457	349	18	and	and	CCONJ
cana-1457	349	19	non	non	ADJ
cana-1457	349	20	-	-	ADJ
cana-1457	349	21	linear	linear	ADJ
cana-1457	349	22	relationships	relationship	NOUN
cana-1457	349	23	between	between	ADP
cana-1457	349	24	temperature	temperature	NOUN
cana-1457	349	25	,	,	PUNCT
cana-1457	349	26	humidity	humidity	NOUN
cana-1457	349	27	,	,	PUNCT
cana-1457	349	28	and	and	CCONJ
cana-1457	349	29	moisture	moisture	NOUN
cana-1457	349	30	content	content	NOUN
cana-1457	349	31	.	.	PUNCT
cana-1457	350	1	we	we	PRON
cana-1457	350	2	selected	select	VERB
cana-1457	350	3	two	two	NUM
cana-1457	350	4	powerful	powerful	ADJ
cana-1457	350	5	gradient	gradient	NOUN
cana-1457	350	6	-	-	PUNCT
cana-1457	350	7	boosting	boost	VERB
cana-1457	350	8	algorithms	algorithm	NOUN
cana-1457	350	9	,	,	PUNCT
cana-1457	350	10	xgboost	xgboost	ADV
cana-1457	350	11	and	and	CCONJ
cana-1457	350	12	lightgbm	lightgbm	ADJ
cana-1457	350	13	,	,	PUNCT
cana-1457	350	14	which	which	PRON
cana-1457	350	15	are	be	AUX
cana-1457	350	16	both	both	PRON
cana-1457	350	17	well	well	ADV
cana-1457	350	18	-	-	PUNCT
cana-1457	350	19	suited	suited	ADJ
cana-1457	350	20	for	for	ADP
cana-1457	350	21	handling	handle	VERB
cana-1457	350	22	structured	structure	VERB
cana-1457	350	23	tabular	tabular	NOUN
cana-1457	350	24	data	datum	NOUN
cana-1457	350	25	and	and	CCONJ
cana-1457	350	26	capable	capable	ADJ
cana-1457	350	27	of	of	ADP
cana-1457	350	28	modeling	model	VERB
cana-1457	350	29	complex	complex	ADJ
cana-1457	350	30	interactions	interaction	NOUN
cana-1457	350	31	.	.	PUNCT
cana-1457	351	1	these	these	DET
cana-1457	351	2	models	model	NOUN
cana-1457	351	3	also	also	ADV
cana-1457	351	4	provide	provide	VERB
cana-1457	351	5	mechanisms	mechanism	NOUN
cana-1457	351	6	for	for	ADP
cana-1457	351	7	regularization	regularization	NOUN
cana-1457	351	8	to	to	PART
cana-1457	351	9	avoid	avoid	VERB
cana-1457	351	10	overfitting	overfitte	VERB
cana-1457	351	11	and	and	CCONJ
cana-1457	351	12	have	have	AUX
cana-1457	351	13	proven	prove	VERB
cana-1457	351	14	to	to	PART
cana-1457	351	15	be	be	AUX
cana-1457	351	16	computationally	computationally	ADV
cana-1457	351	17	efficient	efficient	ADJ
cana-1457	351	18	even	even	ADV
cana-1457	351	19	for	for	ADP
cana-1457	351	20	real	real	ADJ
cana-1457	351	21	-	-	PUNCT
cana-1457	351	22	time	time	NOUN
cana-1457	351	23	applications	application	NOUN
cana-1457	351	24	.	.	PUNCT
cana-1457	352	1	in	in	ADP
cana-1457	352	2	this	this	DET
cana-1457	352	3	section	section	NOUN
cana-1457	352	4	,	,	PUNCT
cana-1457	352	5	we	we	PRON
cana-1457	352	6	will	will	AUX
cana-1457	352	7	delve	delve	VERB
cana-1457	352	8	into	into	ADP
cana-1457	352	9	the	the	DET
cana-1457	352	10	details	detail	NOUN
cana-1457	352	11	of	of	ADP
cana-1457	352	12	model	model	NOUN
cana-1457	352	13	selection	selection	NOUN
cana-1457	352	14	,	,	PUNCT
cana-1457	352	15	followed	follow	VERB
cana-1457	352	16	by	by	ADP
cana-1457	352	17	a	a	DET
cana-1457	352	18	thorough	thorough	ADJ
cana-1457	352	19	explanation	explanation	NOUN
cana-1457	352	20	of	of	ADP
cana-1457	352	21	hyperparameter	hyperparameter	NOUN
cana-1457	352	22	tuning	tune	VERB
cana-1457	352	23	to	to	PART
cana-1457	352	24	achieve	achieve	VERB
cana-1457	352	25	optimal	optimal	ADJ
cana-1457	352	26	performance	performance	NOUN
cana-1457	352	27	.	.	PUNCT
cana-1457	353	1	4.4.1	4.4.1	NUM
cana-1457	353	2	model	model	NOUN
cana-1457	353	3	selection	selection	NOUN
cana-1457	353	4	and	and	CCONJ
cana-1457	353	5	justification	justification	NOUN
cana-1457	353	6	the	the	DET
cana-1457	353	7	primary	primary	ADJ
cana-1457	353	8	challenge	challenge	NOUN
cana-1457	353	9	in	in	ADP
cana-1457	353	10	modeling	model	VERB
cana-1457	353	11	the	the	DET
cana-1457	353	12	tea	tea	NOUN
cana-1457	353	13	withering	wither	VERB
cana-1457	353	14	process	process	NOUN
cana-1457	353	15	is	be	AUX
cana-1457	353	16	the	the	DET
cana-1457	353	17	non	non	ADJ
cana-1457	353	18	-	-	ADJ
cana-1457	353	19	linearity	linearity	ADJ
cana-1457	353	20	and	and	CCONJ
cana-1457	353	21	dynamic	dynamic	ADJ
cana-1457	353	22	nature	nature	NOUN
cana-1457	353	23	of	of	ADP
cana-1457	353	24	the	the	DET
cana-1457	353	25	environmental	environmental	ADJ
cana-1457	353	26	variables	variable	NOUN
cana-1457	353	27	(	(	PUNCT
cana-1457	353	28	temperature	temperature	NOUN
cana-1457	353	29	,	,	PUNCT
cana-1457	353	30	humidity	humidity	NOUN
cana-1457	353	31	,	,	PUNCT
cana-1457	353	32	and	and	CCONJ
cana-1457	353	33	moisture	moisture	NOUN
cana-1457	353	34	content	content	NOUN
cana-1457	353	35	)	)	PUNCT
cana-1457	353	36	.	.	PUNCT
cana-1457	354	1	these	these	DET
cana-1457	354	2	variables	variable	NOUN
cana-1457	354	3	interact	interact	VERB
cana-1457	354	4	with	with	ADP
cana-1457	354	5	each	each	DET
cana-1457	354	6	other	other	ADJ
cana-1457	354	7	in	in	ADP
cana-1457	354	8	complex	complex	ADJ
cana-1457	354	9	ways	way	NOUN
cana-1457	354	10	,	,	PUNCT
cana-1457	354	11	influencing	influence	VERB
cana-1457	354	12	the	the	DET
cana-1457	354	13	moisture	moisture	NOUN
cana-1457	354	14	levels	level	NOUN
cana-1457	354	15	in	in	ADP
cana-1457	354	16	tea	tea	NOUN
cana-1457	354	17	leaves	leave	NOUN
cana-1457	354	18	over	over	ADP
cana-1457	354	19	time	time	NOUN
cana-1457	354	20	.	.	PUNCT
cana-1457	355	1	as	as	ADP
cana-1457	355	2	such	such	ADJ
cana-1457	355	3	,	,	PUNCT
cana-1457	355	4	selecting	select	VERB
cana-1457	355	5	a	a	DET
cana-1457	355	6	model	model	NOUN
cana-1457	355	7	capable	capable	ADJ
cana-1457	355	8	of	of	ADP
cana-1457	355	9	handling	handle	VERB
cana-1457	355	10	these	these	DET
cana-1457	355	11	interactions	interaction	NOUN
cana-1457	355	12	and	and	CCONJ
cana-1457	355	13	adapting	adapt	VERB
cana-1457	355	14	to	to	ADP
cana-1457	355	15	fluctuations	fluctuation	NOUN
cana-1457	355	16	in	in	ADP
cana-1457	355	17	the	the	DET
cana-1457	355	18	data	data	NOUN
cana-1457	355	19	is	be	AUX
cana-1457	355	20	essential	essential	ADJ
cana-1457	355	21	.	.	PUNCT
cana-1457	356	1	xgboost	xgboost	ADV
cana-1457	356	2	and	and	CCONJ
cana-1457	356	3	lightgbm	lightgbm	NOUN
cana-1457	356	4	were	be	AUX
cana-1457	356	5	chosen	choose	VERB
cana-1457	356	6	for	for	ADP
cana-1457	356	7	their	their	PRON
cana-1457	356	8	ability	ability	NOUN
cana-1457	356	9	to	to	PART
cana-1457	356	10	capture	capture	VERB
cana-1457	356	11	non	non	ADJ
cana-1457	356	12	-	-	ADJ
cana-1457	356	13	linear	linear	ADJ
cana-1457	356	14	relationships	relationship	NOUN
cana-1457	356	15	and	and	CCONJ
cana-1457	356	16	their	their	PRON
cana-1457	356	17	flexibility	flexibility	NOUN
cana-1457	356	18	in	in	ADP
cana-1457	356	19	handling	handle	VERB
cana-1457	356	20	various	various	ADJ
cana-1457	356	21	types	type	NOUN
cana-1457	356	22	of	of	ADP
cana-1457	356	23	data	datum	NOUN
cana-1457	356	24	.	.	PUNCT
cana-1457	357	1	both	both	DET
cana-1457	357	2	models	model	NOUN
cana-1457	357	3	are	be	AUX
cana-1457	357	4	based	base	VERB
cana-1457	357	5	on	on	ADP
cana-1457	357	6	the	the	DET
cana-1457	357	7	gradient	gradient	NOUN
cana-1457	357	8	boosting	boost	VERB
cana-1457	357	9	algorithm	algorithm	NOUN
cana-1457	357	10	,	,	PUNCT
cana-1457	357	11	which	which	PRON
cana-1457	357	12	builds	build	VERB
cana-1457	357	13	a	a	DET
cana-1457	357	14	series	series	NOUN
cana-1457	357	15	of	of	ADP
cana-1457	357	16	decision	decision	NOUN
cana-1457	357	17	trees	tree	NOUN
cana-1457	357	18	,	,	PUNCT
cana-1457	357	19	each	each	PRON
cana-1457	357	20	focusing	focus	VERB
cana-1457	357	21	on	on	ADP
cana-1457	357	22	the	the	DET
cana-1457	357	23	residual	residual	ADJ
cana-1457	357	24	errors	error	NOUN
cana-1457	357	25	of	of	ADP
cana-1457	357	26	the	the	DET
cana-1457	357	27	previous	previous	ADJ
cana-1457	357	28	trees	tree	NOUN
cana-1457	357	29	.	.	PUNCT
cana-1457	358	1	gradient	gradient	ADJ
cana-1457	358	2	boosting	boosting	NOUN
cana-1457	358	3	is	be	AUX
cana-1457	358	4	highly	highly	ADV
cana-1457	358	5	effective	effective	ADJ
cana-1457	358	6	for	for	ADP
cana-1457	358	7	structured	structured	ADJ
cana-1457	358	8	data	datum	NOUN
cana-1457	358	9	,	,	PUNCT
cana-1457	358	10	making	make	VERB
cana-1457	358	11	it	it	PRON
cana-1457	358	12	ideal	ideal	ADJ
cana-1457	358	13	for	for	ADP
cana-1457	358	14	iot	iot	ADJ
cana-1457	358	15	sensor	sensor	NOUN
cana-1457	358	16	data	datum	NOUN
cana-1457	358	17	.	.	PUNCT
cana-1457	359	1	4.4.1.1	4.4.1.1	NUM
cana-1457	360	1	xgboost	xgboost	NUM
cana-1457	360	2	xgboost	xgboost	ADV
cana-1457	361	1	(	(	PUNCT
cana-1457	361	2	extreme	extreme	ADJ
cana-1457	361	3	gradient	gradient	NOUN
cana-1457	361	4	boosting	boosting	NOUN
cana-1457	361	5	)	)	PUNCT
cana-1457	361	6	is	be	AUX
cana-1457	361	7	a	a	DET
cana-1457	361	8	scalable	scalable	ADJ
cana-1457	361	9	and	and	CCONJ
cana-1457	361	10	highly	highly	ADV
cana-1457	361	11	efficient	efficient	ADJ
cana-1457	361	12	implementation	implementation	NOUN
cana-1457	361	13	of	of	ADP
cana-1457	361	14	the	the	DET
cana-1457	361	15	gradient	gradient	NOUN
cana-1457	361	16	boosting	boost	VERB
cana-1457	361	17	framework	framework	NOUN
cana-1457	361	18	.	.	PUNCT
cana-1457	362	1	it	it	PRON
cana-1457	362	2	improves	improve	VERB
cana-1457	362	3	upon	upon	SCONJ
cana-1457	362	4	traditional	traditional	ADJ
cana-1457	362	5	gradient	gradient	NOUN
cana-1457	362	6	boosting	boost	VERB
cana-1457	362	7	by	by	ADP
cana-1457	362	8	introducing	introduce	VERB
cana-1457	362	9	regularization	regularization	NOUN
cana-1457	362	10	techniques	technique	NOUN
cana-1457	362	11	,	,	PUNCT
cana-1457	362	12	sparsity	sparsity	NOUN
cana-1457	362	13	awareness	awareness	NOUN
cana-1457	362	14	,	,	PUNCT
cana-1457	362	15	and	and	CCONJ
cana-1457	362	16	handling	handle	VERB
cana-1457	362	17	missing	miss	VERB
cana-1457	362	18	values	value	NOUN
cana-1457	362	19	effectively	effectively	ADV
cana-1457	362	20	.	.	PUNCT
cana-1457	363	1	xgboost	xgboost	PROPN
cana-1457	363	2	works	work	VERB
cana-1457	363	3	by	by	ADP
cana-1457	363	4	constructing	construct	VERB
cana-1457	363	5	an	an	DET
cana-1457	363	6	ensemble	ensemble	NOUN
cana-1457	363	7	of	of	ADP
cana-1457	363	8	decision	decision	NOUN
cana-1457	363	9	trees	tree	NOUN
cana-1457	363	10	,	,	PUNCT
cana-1457	363	11	each	each	PRON
cana-1457	363	12	of	of	ADP
cana-1457	363	13	which	which	PRON
cana-1457	363	14	is	be	AUX
cana-1457	363	15	trained	train	VERB
cana-1457	363	16	to	to	PART
cana-1457	363	17	reduce	reduce	VERB
cana-1457	363	18	the	the	DET
cana-1457	363	19	residual	residual	ADJ
cana-1457	363	20	errors	error	NOUN
cana-1457	363	21	from	from	ADP
cana-1457	363	22	the	the	DET
cana-1457	363	23	previous	previous	ADJ
cana-1457	363	24	trees	tree	NOUN
cana-1457	363	25	.	.	PUNCT
cana-1457	364	1	the	the	DET
cana-1457	364	2	objective	objective	NOUN
cana-1457	364	3	of	of	ADP
cana-1457	364	4	xgboost	xgboost	ADV
cana-1457	364	5	is	be	AUX
cana-1457	364	6	to	to	PART
cana-1457	364	7	minimize	minimize	VERB
cana-1457	364	8	the	the	DET
cana-1457	364	9	following	following	ADJ
cana-1457	364	10	regularized	regularize	VERB
cana-1457	364	11	loss	loss	NOUN
cana-1457	364	12	function	function	NOUN
cana-1457	364	13	:	:	PUNCT
cana-1457	364	14	ℒ(θ	ℒ(θ	X
cana-1457	364	15	)	)	PUNCT
cana-1457	364	16	=	=	SYM
cana-1457	365	1	∑(𝑦𝑖	∑(𝑦𝑖	PROPN
cana-1457	365	2	−	−	PROPN
cana-1457	365	3	𝑦	𝑦	SYM
cana-1457	365	4	�	�	NOUN
cana-1457	365	5	̂	̂	SYM
cana-1457	365	6	�	�	NOUN
cana-1457	365	7	)	)	PUNCT
cana-1457	365	8	2	2	NUM
cana-1457	366	1	𝑁	𝑁	PROPN
cana-1457	366	2	𝑖=1	𝑖=1	PROPN
cana-1457	366	3	+	+	CCONJ
cana-1457	366	4	∑(λ|θ𝑘|2	∑(λ|θ𝑘|2	PROPN
cana-1457	366	5	2	2	NUM
cana-1457	366	6	+	+	NUM
cana-1457	366	7	α|θ𝑘|1	α|θ𝑘|1	NUM
cana-1457	366	8	)	)	PUNCT
cana-1457	366	9	𝐾	𝐾	PROPN
cana-1457	366	10	𝑘=1	𝑘=1	PRON
cana-1457	367	1	where	where	SCONJ
cana-1457	367	2	:	:	PUNCT
cana-1457	367	3	•	•	X
cana-1457	367	4	𝑦𝑖	𝑦𝑖	PROPN
cana-1457	367	5	is	be	AUX
cana-1457	367	6	the	the	DET
cana-1457	367	7	actual	actual	ADJ
cana-1457	367	8	moisture	moisture	NOUN
cana-1457	367	9	content	content	NOUN
cana-1457	367	10	at	at	ADP
cana-1457	367	11	the	the	DET
cana-1457	367	12	ii	ii	PROPN
cana-1457	367	13	-	-	PUNCT
cana-1457	367	14	th	th	VERB
cana-1457	367	15	time	time	NOUN
cana-1457	367	16	step	step	NOUN
cana-1457	367	17	.	.	PUNCT
cana-1457	368	1	•	•	INTJ
cana-1457	368	2	𝑦𝑖	𝑦𝑖	PROPN
cana-1457	368	3	is	be	AUX
cana-1457	368	4	the	the	DET
cana-1457	368	5	predicted	predict	VERB
cana-1457	368	6	moisture	moisture	NOUN
cana-1457	368	7	content	content	NOUN
cana-1457	368	8	from	from	ADP
cana-1457	368	9	the	the	DET
cana-1457	368	10	model	model	NOUN
cana-1457	368	11	.	.	PUNCT
cana-1457	369	1	•	•	NUM
cana-1457	369	2	θ	θ	PROPN
cana-1457	369	3	represents	represent	VERB
cana-1457	369	4	the	the	DET
cana-1457	369	5	set	set	NOUN
cana-1457	369	6	of	of	ADP
cana-1457	369	7	model	model	NOUN
cana-1457	369	8	parameters	parameter	NOUN
cana-1457	369	9	.	.	PUNCT
cana-1457	370	1	•	•	NUM
cana-1457	370	2	λ	λ	NOUN
cana-1457	370	3	is	be	AUX
cana-1457	370	4	the	the	DET
cana-1457	370	5	l2	l2	NOUN
cana-1457	370	6	regularization	regularization	NOUN
cana-1457	370	7	term	term	NOUN
cana-1457	370	8	to	to	PART
cana-1457	370	9	control	control	VERB
cana-1457	370	10	overfitting	overfitting	NOUN
cana-1457	370	11	.	.	PUNCT
cana-1457	371	1	•	•	NUM
cana-1457	371	2	α	α	NOUN
cana-1457	371	3	is	be	AUX
cana-1457	371	4	the	the	DET
cana-1457	371	5	l1	l1	PROPN
cana-1457	371	6	regularization	regularization	NOUN
cana-1457	371	7	term	term	NOUN
cana-1457	371	8	to	to	PART
cana-1457	371	9	induce	induce	VERB
cana-1457	371	10	sparsity	sparsity	NOUN
cana-1457	371	11	in	in	ADP
cana-1457	371	12	the	the	DET
cana-1457	371	13	model	model	NOUN
cana-1457	371	14	.	.	PUNCT
cana-1457	372	1	•	•	NUM
cana-1457	372	2	θ𝑘	θ𝑘	PROPN
cana-1457	372	3	represents	represent	VERB
cana-1457	372	4	the	the	DET
cana-1457	372	5	weights	weight	NOUN
cana-1457	372	6	associated	associate	VERB
cana-1457	372	7	with	with	ADP
cana-1457	372	8	the	the	DET
cana-1457	372	9	𝑘th	𝑘th	NOUN
cana-1457	372	10	feature	feature	NOUN
cana-1457	372	11	.	.	PUNCT
cana-1457	373	1	communications	communication	NOUN
cana-1457	373	2	on	on	ADP
cana-1457	373	3	applied	apply	VERB
cana-1457	373	4	nonlinear	nonlinear	ADJ
cana-1457	373	5	analysis	analysis	NOUN
cana-1457	373	6	issn	issn	NOUN
cana-1457	373	7	:	:	PUNCT
cana-1457	373	8	1074	1074	NUM
cana-1457	373	9	-	-	PUNCT
cana-1457	373	10	133x	133x	NUM
cana-1457	373	11	vol	vol	NOUN
cana-1457	373	12	31	31	NUM
cana-1457	373	13	no	no	NOUN
cana-1457	373	14	.	.	PUNCT
cana-1457	374	1	8s	8s	PROPN
cana-1457	374	2	(	(	PUNCT
cana-1457	374	3	2024	2024	NUM
cana-1457	374	4	)	)	PUNCT
cana-1457	374	5	74	74	NUM
cana-1457	374	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	374	7	the	the	DET
cana-1457	374	8	first	first	ADJ
cana-1457	374	9	term	term	NOUN
cana-1457	374	10	in	in	ADP
cana-1457	374	11	the	the	DET
cana-1457	374	12	loss	loss	NOUN
cana-1457	374	13	function	function	NOUN
cana-1457	374	14	is	be	AUX
cana-1457	374	15	the	the	DET
cana-1457	374	16	mean	mean	ADJ
cana-1457	374	17	squared	square	VERB
cana-1457	374	18	error	error	NOUN
cana-1457	374	19	(	(	PUNCT
cana-1457	374	20	mse	mse	NOUN
cana-1457	374	21	)	)	PUNCT
cana-1457	374	22	,	,	PUNCT
cana-1457	374	23	which	which	PRON
cana-1457	374	24	measures	measure	VERB
cana-1457	374	25	the	the	DET
cana-1457	374	26	discrepancy	discrepancy	NOUN
cana-1457	374	27	between	between	ADP
cana-1457	374	28	the	the	DET
cana-1457	374	29	predicted	predict	VERB
cana-1457	374	30	and	and	CCONJ
cana-1457	374	31	actual	actual	ADJ
cana-1457	374	32	moisture	moisture	NOUN
cana-1457	374	33	content	content	NOUN
cana-1457	374	34	.	.	PUNCT
cana-1457	375	1	the	the	DET
cana-1457	375	2	second	second	ADJ
cana-1457	375	3	term	term	NOUN
cana-1457	375	4	is	be	AUX
cana-1457	375	5	the	the	DET
cana-1457	375	6	regularization	regularization	NOUN
cana-1457	375	7	term	term	NOUN
cana-1457	375	8	,	,	PUNCT
cana-1457	375	9	which	which	PRON
cana-1457	375	10	penalizes	penalize	VERB
cana-1457	375	11	the	the	DET
cana-1457	375	12	model	model	NOUN
cana-1457	375	13	for	for	ADP
cana-1457	375	14	being	be	AUX
cana-1457	375	15	too	too	ADV
cana-1457	375	16	complex	complex	ADJ
cana-1457	375	17	.	.	PUNCT
cana-1457	376	1	this	this	DET
cana-1457	376	2	regularization	regularization	NOUN
cana-1457	376	3	helps	help	VERB
cana-1457	376	4	avoid	avoid	VERB
cana-1457	376	5	overfitting	overfitting	NOUN
cana-1457	376	6	,	,	PUNCT
cana-1457	376	7	which	which	PRON
cana-1457	376	8	is	be	AUX
cana-1457	376	9	critical	critical	ADJ
cana-1457	376	10	in	in	ADP
cana-1457	376	11	iot	iot	NOUN
cana-1457	376	12	-	-	PUNCT
cana-1457	376	13	based	base	VERB
cana-1457	376	14	systems	system	NOUN
cana-1457	376	15	where	where	SCONJ
cana-1457	376	16	sensor	sensor	NOUN
cana-1457	376	17	noise	noise	NOUN
cana-1457	376	18	and	and	CCONJ
cana-1457	376	19	outliers	outlier	NOUN
cana-1457	376	20	can	can	AUX
cana-1457	376	21	lead	lead	VERB
cana-1457	376	22	to	to	ADP
cana-1457	376	23	erroneous	erroneous	ADJ
cana-1457	376	24	predictions	prediction	NOUN
cana-1457	376	25	.	.	PUNCT
cana-1457	377	1	xgboost	xgboost	PROPN
cana-1457	378	1	also	also	ADV
cana-1457	378	2	introduces	introduce	VERB
cana-1457	378	3	shrinkage	shrinkage	NOUN
cana-1457	378	4	,	,	PUNCT
cana-1457	378	5	where	where	SCONJ
cana-1457	378	6	a	a	DET
cana-1457	378	7	learning	learning	NOUN
cana-1457	378	8	rate	rate	NOUN
cana-1457	378	9	ηη	ηη	PRON
cana-1457	378	10	is	be	AUX
cana-1457	378	11	applied	apply	VERB
cana-1457	378	12	to	to	ADP
cana-1457	378	13	each	each	DET
cana-1457	378	14	tree	tree	NOUN
cana-1457	378	15	to	to	PART
cana-1457	378	16	reduce	reduce	VERB
cana-1457	378	17	its	its	PRON
cana-1457	378	18	contribution	contribution	NOUN
cana-1457	378	19	:	:	PUNCT
cana-1457	378	20	𝑦𝑖	𝑦𝑖	PROPN
cana-1457	378	21	(	(	PUNCT
cana-1457	378	22	𝑡)̂	𝑡)̂	ADP
cana-1457	378	23	=	=	SYM
cana-1457	378	24	𝑦𝑖	𝑦𝑖	PROPN
cana-1457	378	25	(	(	PUNCT
cana-1457	378	26	𝑡−1)̂	𝑡−1)̂	PROPN
cana-1457	378	27	+	+	CCONJ
cana-1457	378	28	η	η	PROPN
cana-1457	378	29	⋅	⋅	PROPN
cana-1457	378	30	𝑓𝑡(𝑥𝑖	𝑓𝑡(𝑥𝑖	PROPN
cana-1457	378	31	)	)	PUNCT
cana-1457	378	32	where	where	SCONJ
cana-1457	378	33	:	:	PUNCT
cana-1457	378	34	•	•	NUM
cana-1457	378	35	𝑦𝑖	𝑦𝑖	PROPN
cana-1457	378	36	(	(	PUNCT
cana-1457	378	37	𝑡	𝑡	NOUN
cana-1457	378	38	)	)	PUNCT
cana-1457	378	39	is	be	AUX
cana-1457	378	40	the	the	DET
cana-1457	378	41	predicted	predict	VERB
cana-1457	378	42	value	value	NOUN
cana-1457	378	43	at	at	ADP
cana-1457	378	44	iteration	iteration	NOUN
cana-1457	378	45	𝑡	𝑡	PROPN
cana-1457	378	46	,	,	PUNCT
cana-1457	378	47	•	•	X
cana-1457	378	48	𝑓𝑡(𝑥𝑖	𝑓𝑡(𝑥𝑖	ADJ
cana-1457	378	49	)	)	PUNCT
cana-1457	378	50	is	be	AUX
cana-1457	378	51	the	the	DET
cana-1457	378	52	output	output	NOUN
cana-1457	378	53	of	of	ADP
cana-1457	378	54	the	the	DET
cana-1457	378	55	decision	decision	NOUN
cana-1457	378	56	tree	tree	NOUN
cana-1457	378	57	at	at	ADP
cana-1457	378	58	iteration	iteration	PROPN
cana-1457	378	59	𝑡	𝑡	PROPN
cana-1457	378	60	,	,	PUNCT
cana-1457	378	61	•	•	NUM
cana-1457	378	62	η	η	PROPN
cana-1457	378	63	is	be	AUX
cana-1457	378	64	the	the	DET
cana-1457	378	65	learning	learn	VERB
cana-1457	378	66	rate	rate	NOUN
cana-1457	378	67	(	(	PUNCT
cana-1457	378	68	shrinkage	shrinkage	NOUN
cana-1457	378	69	factor	factor	NOUN
cana-1457	378	70	)	)	PUNCT
cana-1457	378	71	.	.	PUNCT
cana-1457	379	1	by	by	ADP
cana-1457	379	2	applying	apply	VERB
cana-1457	379	3	a	a	DET
cana-1457	379	4	small	small	ADJ
cana-1457	379	5	learning	learning	NOUN
cana-1457	379	6	rate	rate	NOUN
cana-1457	379	7	,	,	PUNCT
cana-1457	379	8	xgboost	xgboost	PRON
cana-1457	379	9	ensures	ensure	VERB
cana-1457	379	10	that	that	SCONJ
cana-1457	379	11	each	each	DET
cana-1457	379	12	subsequent	subsequent	ADJ
cana-1457	379	13	tree	tree	NOUN
cana-1457	379	14	only	only	ADV
cana-1457	379	15	makes	make	VERB
cana-1457	379	16	small	small	ADJ
cana-1457	379	17	improvements	improvement	NOUN
cana-1457	379	18	to	to	ADP
cana-1457	379	19	the	the	DET
cana-1457	379	20	model	model	NOUN
cana-1457	379	21	,	,	PUNCT
cana-1457	379	22	allowing	allow	VERB
cana-1457	379	23	for	for	ADP
cana-1457	379	24	finer	fine	ADJ
cana-1457	379	25	adjustments	adjustment	NOUN
cana-1457	379	26	and	and	CCONJ
cana-1457	379	27	preventing	prevent	VERB
cana-1457	379	28	overfitting	overfitting	NOUN
cana-1457	379	29	.	.	PUNCT
cana-1457	380	1	4.4.1.2	4.4.1.2	NUM
cana-1457	380	2	lightgbm	lightgbm	ADJ
cana-1457	380	3	lightgbm	lightgbm	NOUN
cana-1457	380	4	(	(	PUNCT
cana-1457	380	5	light	light	ADJ
cana-1457	380	6	gradient	gradient	NOUN
cana-1457	380	7	boosting	boost	VERB
cana-1457	380	8	machine	machine	NOUN
cana-1457	380	9	)	)	PUNCT
cana-1457	380	10	is	be	AUX
cana-1457	380	11	another	another	DET
cana-1457	380	12	gradient	gradient	ADJ
cana-1457	380	13	boosting	boost	VERB
cana-1457	380	14	framework	framework	NOUN
cana-1457	380	15	that	that	PRON
cana-1457	380	16	is	be	AUX
cana-1457	380	17	designed	design	VERB
cana-1457	380	18	for	for	ADP
cana-1457	380	19	efficiency	efficiency	NOUN
cana-1457	380	20	and	and	CCONJ
cana-1457	380	21	scalability	scalability	NOUN
cana-1457	380	22	.	.	PUNCT
cana-1457	381	1	lightgbm	lightgbm	PROPN
cana-1457	381	2	differs	differ	NOUN
cana-1457	381	3	from	from	ADP
cana-1457	381	4	xgboost	xgboost	ADV
cana-1457	381	5	in	in	ADP
cana-1457	381	6	that	that	SCONJ
cana-1457	381	7	it	it	PRON
cana-1457	381	8	uses	use	VERB
cana-1457	381	9	a	a	DET
cana-1457	381	10	leaf	leaf	NOUN
cana-1457	381	11	-	-	PUNCT
cana-1457	381	12	wise	wise	ADJ
cana-1457	381	13	growth	growth	NOUN
cana-1457	381	14	strategy	strategy	NOUN
cana-1457	381	15	as	as	SCONJ
cana-1457	381	16	opposed	oppose	VERB
cana-1457	381	17	to	to	ADP
cana-1457	381	18	a	a	DET
cana-1457	381	19	level	level	NOUN
cana-1457	381	20	-	-	PUNCT
cana-1457	381	21	wise	wise	ADJ
cana-1457	381	22	growth	growth	NOUN
cana-1457	381	23	strategy	strategy	NOUN
cana-1457	381	24	in	in	ADP
cana-1457	381	25	traditional	traditional	ADJ
cana-1457	381	26	gradient	gradient	ADJ
cana-1457	381	27	boosting	boost	VERB
cana-1457	381	28	models	model	NOUN
cana-1457	381	29	.	.	PUNCT
cana-1457	382	1	this	this	PRON
cana-1457	382	2	allows	allow	VERB
cana-1457	382	3	lightgbm	lightgbm	NOUN
cana-1457	382	4	to	to	PART
cana-1457	382	5	grow	grow	VERB
cana-1457	382	6	trees	tree	NOUN
cana-1457	382	7	deeper	deep	ADJ
cana-1457	382	8	in	in	ADP
cana-1457	382	9	areas	area	NOUN
cana-1457	382	10	where	where	SCONJ
cana-1457	382	11	the	the	DET
cana-1457	382	12	residual	residual	ADJ
cana-1457	382	13	errors	error	NOUN
cana-1457	382	14	are	be	AUX
cana-1457	382	15	high	high	ADJ
cana-1457	382	16	,	,	PUNCT
cana-1457	382	17	resulting	result	VERB
cana-1457	382	18	in	in	ADP
cana-1457	382	19	better	well	ADJ
cana-1457	382	20	predictive	predictive	ADJ
cana-1457	382	21	performance	performance	NOUN
cana-1457	382	22	.	.	PUNCT
cana-1457	383	1	the	the	DET
cana-1457	383	2	objective	objective	ADJ
cana-1457	383	3	function	function	NOUN
cana-1457	383	4	for	for	ADP
cana-1457	383	5	lightgbm	lightgbm	NOUN
cana-1457	383	6	is	be	AUX
cana-1457	383	7	similar	similar	ADJ
cana-1457	383	8	to	to	ADP
cana-1457	383	9	xgboost	xgboost	PROPN
cana-1457	383	10	,	,	PUNCT
cana-1457	383	11	with	with	ADP
cana-1457	383	12	the	the	DET
cana-1457	383	13	inclusion	inclusion	NOUN
cana-1457	383	14	of	of	ADP
cana-1457	383	15	regularization	regularization	NOUN
cana-1457	383	16	terms	term	NOUN
cana-1457	383	17	:	:	PUNCT
cana-1457	383	18	ℒ(θ	ℒ(θ	X
cana-1457	383	19	)	)	PUNCT
cana-1457	383	20	=	=	SYM
cana-1457	384	1	∑(𝑦𝑖	∑(𝑦𝑖	PROPN
cana-1457	384	2	−	−	PROPN
cana-1457	384	3	𝑦	𝑦	SYM
cana-1457	384	4	�	�	NOUN
cana-1457	384	5	̂	̂	SYM
cana-1457	384	6	�	�	NOUN
cana-1457	384	7	)	)	PUNCT
cana-1457	384	8	2	2	NUM
cana-1457	385	1	𝑁	𝑁	PROPN
cana-1457	385	2	𝑖=1	𝑖=1	PROPN
cana-1457	385	3	+	+	PUNCT
cana-1457	385	4	λ	λ	PROPN
cana-1457	385	5	∑	∑	PROPN
cana-1457	385	6	|θ𝑘	|θ𝑘	PROPN
cana-1457	385	7	𝐾	𝐾	PROPN
cana-1457	385	8	𝑘=1	𝑘=1	PROPN
cana-1457	385	9	|2	|2	NUM
cana-1457	385	10	2	2	NUM
cana-1457	385	11	+	+	NUM
cana-1457	385	12	α	α	NOUN
cana-1457	385	13	∑|θ𝑘|	∑|θ𝑘|	NOUN
cana-1457	385	14	𝐾	𝐾	PROPN
cana-1457	385	15	𝑘=1	𝑘=1	PROPN
cana-1457	385	16	where	where	SCONJ
cana-1457	385	17	:	:	PUNCT
cana-1457	385	18	•	•	NUM
cana-1457	385	19	ℒ(θ	ℒ(θ	NOUN
cana-1457	385	20	)	)	PUNCT
cana-1457	385	21	is	be	AUX
cana-1457	385	22	the	the	DET
cana-1457	385	23	objective	objective	ADJ
cana-1457	385	24	function	function	NOUN
cana-1457	385	25	to	to	PART
cana-1457	385	26	minimize	minimize	VERB
cana-1457	385	27	,	,	PUNCT
cana-1457	385	28	•	•	NOUN
cana-1457	385	29	𝑦𝑖	𝑦𝑖	NUM
cana-1457	385	30	and	and	CCONJ
cana-1457	385	31	𝑦	𝑦	NOUN
cana-1457	385	32	�	�	NOUN
cana-1457	385	33	̂	̂	VERB
cana-1457	385	34	�	�	NOUN
cana-1457	385	35	are	be	AUX
cana-1457	385	36	the	the	DET
cana-1457	385	37	actual	actual	ADJ
cana-1457	385	38	and	and	CCONJ
cana-1457	385	39	predicted	predict	VERB
cana-1457	385	40	moisture	moisture	NOUN
cana-1457	385	41	content	content	NOUN
cana-1457	385	42	,	,	PUNCT
cana-1457	385	43	respectively	respectively	ADV
cana-1457	385	44	,	,	PUNCT
cana-1457	385	45	•	•	ADP
cana-1457	385	46	λ	λ	PROPN
cana-1457	385	47	and	and	CCONJ
cana-1457	385	48	αα	αα	PROPN
cana-1457	385	49	are	be	AUX
cana-1457	385	50	regularization	regularization	NOUN
cana-1457	385	51	terms	term	NOUN
cana-1457	385	52	to	to	PART
cana-1457	385	53	control	control	VERB
cana-1457	385	54	overfitting	overfitting	NOUN
cana-1457	385	55	.	.	PUNCT
cana-1457	386	1	lightgbm	lightgbm	PROPN
cana-1457	386	2	's	's	PART
cana-1457	386	3	leaf	leaf	NOUN
cana-1457	386	4	-	-	PUNCT
cana-1457	386	5	wise	wise	ADJ
cana-1457	386	6	tree	tree	NOUN
cana-1457	386	7	growth	growth	NOUN
cana-1457	386	8	approach	approach	NOUN
cana-1457	386	9	reduces	reduce	VERB
cana-1457	386	10	computational	computational	ADJ
cana-1457	386	11	time	time	NOUN
cana-1457	386	12	,	,	PUNCT
cana-1457	386	13	making	make	VERB
cana-1457	386	14	it	it	PRON
cana-1457	386	15	ideal	ideal	ADJ
cana-1457	386	16	for	for	ADP
cana-1457	386	17	real	real	ADJ
cana-1457	386	18	-	-	PUNCT
cana-1457	386	19	time	time	NOUN
cana-1457	386	20	iot	iot	NOUN
cana-1457	386	21	applications	application	NOUN
cana-1457	386	22	.	.	PUNCT
cana-1457	387	1	additionally	additionally	ADV
cana-1457	387	2	,	,	PUNCT
cana-1457	387	3	lightgbm	lightgbm	NOUN
cana-1457	387	4	can	can	AUX
cana-1457	387	5	handle	handle	VERB
cana-1457	387	6	large	large	ADJ
cana-1457	387	7	datasets	dataset	NOUN
cana-1457	387	8	with	with	ADP
cana-1457	387	9	high	high	ADJ
cana-1457	387	10	-	-	PUNCT
cana-1457	387	11	dimensional	dimensional	ADJ
cana-1457	387	12	features	feature	NOUN
cana-1457	387	13	efficiently	efficiently	ADV
cana-1457	387	14	due	due	ADP
cana-1457	387	15	to	to	ADP
cana-1457	387	16	its	its	PRON
cana-1457	387	17	histogram	histogram	NOUN
cana-1457	387	18	-	-	PUNCT
cana-1457	387	19	based	base	VERB
cana-1457	387	20	decision	decision	NOUN
cana-1457	387	21	tree	tree	NOUN
cana-1457	387	22	algorithm	algorithm	NOUN
cana-1457	387	23	.	.	PUNCT
cana-1457	388	1	the	the	DET
cana-1457	388	2	key	key	ADJ
cana-1457	388	3	difference	difference	NOUN
cana-1457	388	4	between	between	ADP
cana-1457	388	5	xgboost	xgboost	ADV
cana-1457	388	6	and	and	CCONJ
cana-1457	388	7	lightgbm	lightgbm	ADJ
cana-1457	388	8	is	be	AUX
cana-1457	388	9	how	how	SCONJ
cana-1457	388	10	the	the	DET
cana-1457	388	11	trees	tree	NOUN
cana-1457	388	12	are	be	AUX
cana-1457	388	13	built	build	VERB
cana-1457	388	14	.	.	PUNCT
cana-1457	389	1	xgboost	xgboost	PROPN
cana-1457	389	2	builds	build	VERB
cana-1457	389	3	trees	tree	NOUN
cana-1457	389	4	level	level	NOUN
cana-1457	389	5	by	by	ADP
cana-1457	389	6	level	level	NOUN
cana-1457	389	7	,	,	PUNCT
cana-1457	389	8	while	while	SCONJ
cana-1457	389	9	lightgbm	lightgbm	ADJ
cana-1457	389	10	grows	grow	VERB
cana-1457	389	11	trees	tree	NOUN
cana-1457	389	12	leaf	leaf	NOUN
cana-1457	389	13	-	-	PUNCT
cana-1457	389	14	wise	wise	ADJ
cana-1457	389	15	,	,	PUNCT
cana-1457	389	16	focusing	focus	VERB
cana-1457	389	17	on	on	ADP
cana-1457	389	18	areas	area	NOUN
cana-1457	389	19	with	with	ADP
cana-1457	389	20	higher	high	ADJ
cana-1457	389	21	residuals	residual	NOUN
cana-1457	389	22	.	.	PUNCT
cana-1457	390	1	this	this	DET
cana-1457	390	2	difference	difference	NOUN
cana-1457	390	3	allows	allow	VERB
cana-1457	390	4	lightgbm	lightgbm	VERB
cana-1457	390	5	to	to	PART
cana-1457	390	6	handle	handle	VERB
cana-1457	390	7	larger	large	ADJ
cana-1457	390	8	datasets	dataset	NOUN
cana-1457	390	9	and	and	CCONJ
cana-1457	390	10	achieve	achieve	VERB
cana-1457	390	11	faster	fast	ADJ
cana-1457	390	12	training	training	NOUN
cana-1457	390	13	times	time	NOUN
cana-1457	390	14	.	.	PUNCT
cana-1457	391	1	4.4.2	4.4.2	NUM
cana-1457	391	2	hyperparameter	hyperparameter	NOUN
cana-1457	391	3	tuning	tune	VERB
cana-1457	391	4	both	both	PRON
cana-1457	391	5	xgboost	xgboost	ADV
cana-1457	391	6	and	and	CCONJ
cana-1457	391	7	lightgbm	lightgbm	VERB
cana-1457	391	8	have	have	VERB
cana-1457	391	9	a	a	DET
cana-1457	391	10	wide	wide	ADJ
cana-1457	391	11	range	range	NOUN
cana-1457	391	12	of	of	ADP
cana-1457	391	13	hyperparameters	hyperparameter	NOUN
cana-1457	391	14	that	that	PRON
cana-1457	391	15	control	control	VERB
cana-1457	391	16	the	the	DET
cana-1457	391	17	complexity	complexity	NOUN
cana-1457	391	18	,	,	PUNCT
cana-1457	391	19	learning	learn	VERB
cana-1457	391	20	speed	speed	NOUN
cana-1457	391	21	,	,	PUNCT
cana-1457	391	22	and	and	CCONJ
cana-1457	391	23	regularization	regularization	NOUN
cana-1457	391	24	of	of	ADP
cana-1457	391	25	the	the	DET
cana-1457	391	26	models	model	NOUN
cana-1457	391	27	.	.	PUNCT
cana-1457	392	1	optimizing	optimize	VERB
cana-1457	392	2	these	these	DET
cana-1457	392	3	hyperparameters	hyperparameter	NOUN
cana-1457	392	4	is	be	AUX
cana-1457	392	5	crucial	crucial	ADJ
cana-1457	392	6	for	for	ADP
cana-1457	392	7	improving	improve	VERB
cana-1457	392	8	model	model	NOUN
cana-1457	392	9	performance	performance	NOUN
cana-1457	392	10	and	and	CCONJ
cana-1457	392	11	avoiding	avoid	VERB
cana-1457	392	12	overfitting	overfitte	VERB
cana-1457	392	13	or	or	CCONJ
cana-1457	392	14	underfitting	underfitting	NOUN
cana-1457	392	15	.	.	PUNCT
cana-1457	393	1	grid	grid	NOUN
cana-1457	393	2	search	search	NOUN
cana-1457	393	3	and	and	CCONJ
cana-1457	393	4	random	random	ADJ
cana-1457	393	5	search	search	NOUN
cana-1457	393	6	are	be	AUX
cana-1457	393	7	common	common	ADJ
cana-1457	393	8	techniques	technique	NOUN
cana-1457	393	9	used	use	VERB
cana-1457	393	10	for	for	ADP
cana-1457	393	11	hyperparameter	hyperparameter	NOUN
cana-1457	393	12	tuning	tuning	NOUN
cana-1457	393	13	,	,	PUNCT
cana-1457	393	14	where	where	SCONJ
cana-1457	393	15	different	different	ADJ
cana-1457	393	16	combinations	combination	NOUN
cana-1457	393	17	of	of	ADP
cana-1457	393	18	hyperparameters	hyperparameter	NOUN
cana-1457	393	19	are	be	AUX
cana-1457	393	20	evaluated	evaluate	VERB
cana-1457	393	21	based	base	VERB
cana-1457	393	22	on	on	ADP
cana-1457	393	23	the	the	DET
cana-1457	393	24	model	model	NOUN
cana-1457	393	25	’s	’s	PART
cana-1457	393	26	performance	performance	NOUN
cana-1457	393	27	on	on	ADP
cana-1457	393	28	a	a	DET
cana-1457	393	29	validation	validation	NOUN
cana-1457	393	30	set	set	NOUN
cana-1457	393	31	.	.	PUNCT
cana-1457	394	1	communications	communication	NOUN
cana-1457	394	2	on	on	ADP
cana-1457	394	3	applied	apply	VERB
cana-1457	394	4	nonlinear	nonlinear	ADJ
cana-1457	394	5	analysis	analysis	NOUN
cana-1457	394	6	issn	issn	NOUN
cana-1457	394	7	:	:	PUNCT
cana-1457	394	8	1074	1074	NUM
cana-1457	394	9	-	-	PUNCT
cana-1457	394	10	133x	133x	NUM
cana-1457	394	11	vol	vol	NOUN
cana-1457	394	12	31	31	NUM
cana-1457	394	13	no	no	NOUN
cana-1457	394	14	.	.	PUNCT
cana-1457	395	1	8s	8s	PROPN
cana-1457	395	2	(	(	PUNCT
cana-1457	395	3	2024	2024	NUM
cana-1457	395	4	)	)	PUNCT
cana-1457	395	5	75	75	NUM
cana-1457	395	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	395	7	4.4.2.1	4.4.2.1	NUM
cana-1457	395	8	hyperparameters	hyperparameter	NOUN
cana-1457	395	9	for	for	ADP
cana-1457	395	10	xgboost	xgboost	DET
cana-1457	395	11	the	the	DET
cana-1457	395	12	main	main	ADJ
cana-1457	395	13	hyperparameters	hyperparameter	NOUN
cana-1457	395	14	for	for	ADP
cana-1457	395	15	xgboost	xgboost	PROPN
cana-1457	395	16	that	that	PRON
cana-1457	395	17	were	be	AUX
cana-1457	395	18	tuned	tune	VERB
cana-1457	395	19	in	in	ADP
cana-1457	395	20	this	this	DET
cana-1457	395	21	research	research	NOUN
cana-1457	395	22	include	include	VERB
cana-1457	395	23	:	:	PUNCT
cana-1457	395	24	learning	learn	VERB
cana-1457	395	25	rate	rate	NOUN
cana-1457	395	26	(	(	PUNCT
cana-1457	395	27	η	η	NOUN
cana-1457	395	28	):	):	PUNCT
cana-1457	395	29	controls	control	VERB
cana-1457	395	30	the	the	DET
cana-1457	395	31	contribution	contribution	NOUN
cana-1457	395	32	of	of	ADP
cana-1457	395	33	each	each	DET
cana-1457	395	34	tree	tree	NOUN
cana-1457	395	35	to	to	ADP
cana-1457	395	36	the	the	DET
cana-1457	395	37	final	final	ADJ
cana-1457	395	38	model	model	NOUN
cana-1457	395	39	.	.	PUNCT
cana-1457	396	1	smaller	small	ADJ
cana-1457	396	2	values	value	NOUN
cana-1457	396	3	result	result	VERB
cana-1457	396	4	in	in	ADP
cana-1457	396	5	more	more	ADV
cana-1457	396	6	conservative	conservative	ADJ
cana-1457	396	7	updates	update	NOUN
cana-1457	396	8	,	,	PUNCT
cana-1457	396	9	reducing	reduce	VERB
cana-1457	396	10	the	the	DET
cana-1457	396	11	risk	risk	NOUN
cana-1457	396	12	of	of	ADP
cana-1457	396	13	overfitting	overfitte	VERB
cana-1457	396	14	but	but	CCONJ
cana-1457	396	15	requiring	require	VERB
cana-1457	396	16	more	more	ADJ
cana-1457	396	17	iterations	iteration	NOUN
cana-1457	396	18	to	to	PART
cana-1457	396	19	converge	converge	VERB
cana-1457	396	20	.	.	PUNCT
cana-1457	397	1	𝑦𝑖	𝑦𝑖	INTJ
cana-1457	397	2	(	(	PUNCT
cana-1457	397	3	𝑡)̂	𝑡)̂	PUNCT
cana-1457	397	4	=	=	SYM
cana-1457	397	5	𝑦𝑖	𝑦𝑖	PROPN
cana-1457	397	6	(	(	PUNCT
cana-1457	397	7	𝑡−1)̂	𝑡−1)̂	PROPN
cana-1457	397	8	+	+	CCONJ
cana-1457	397	9	η	η	PROPN
cana-1457	397	10	⋅	⋅	PROPN
cana-1457	397	11	𝑓𝑡(𝑥𝑖	𝑓𝑡(𝑥𝑖	PROPN
cana-1457	397	12	)	)	PUNCT
cana-1457	397	13	max	max	NOUN
cana-1457	397	14	depth	depth	NOUN
cana-1457	397	15	(	(	PUNCT
cana-1457	397	16	𝑑max	𝑑max	NOUN
cana-1457	397	17	):	):	PUNCT
cana-1457	397	18	limits	limit	VERB
cana-1457	397	19	the	the	DET
cana-1457	397	20	depth	depth	NOUN
cana-1457	397	21	of	of	ADP
cana-1457	397	22	the	the	DET
cana-1457	397	23	trees	tree	NOUN
cana-1457	397	24	,	,	PUNCT
cana-1457	397	25	controlling	control	VERB
cana-1457	397	26	the	the	DET
cana-1457	397	27	complexity	complexity	NOUN
cana-1457	397	28	of	of	ADP
cana-1457	397	29	the	the	DET
cana-1457	397	30	model	model	NOUN
cana-1457	397	31	.	.	PUNCT
cana-1457	398	1	deeper	deep	ADJ
cana-1457	398	2	trees	tree	NOUN
cana-1457	398	3	can	can	AUX
cana-1457	398	4	model	model	VERB
cana-1457	398	5	more	more	ADJ
cana-1457	398	6	complex	complex	ADJ
cana-1457	398	7	relationships	relationship	NOUN
cana-1457	398	8	but	but	CCONJ
cana-1457	398	9	are	be	AUX
cana-1457	398	10	prone	prone	ADJ
cana-1457	398	11	to	to	ADP
cana-1457	398	12	overfitting	overfitte	VERB
cana-1457	398	13	.	.	PUNCT
cana-1457	399	1	the	the	DET
cana-1457	399	2	relationship	relationship	NOUN
cana-1457	399	3	between	between	ADP
cana-1457	399	4	tree	tree	NOUN
cana-1457	399	5	depth	depth	NOUN
cana-1457	399	6	and	and	CCONJ
cana-1457	399	7	model	model	NOUN
cana-1457	399	8	complexity	complexity	NOUN
cana-1457	399	9	is	be	AUX
cana-1457	399	10	given	give	VERB
cana-1457	399	11	by	by	ADP
cana-1457	399	12	:	:	PUNCT
cana-1457	399	13	model	model	NOUN
cana-1457	399	14	complexity	complexity	NOUN
cana-1457	399	15	∝	∝	PROPN
cana-1457	399	16	2𝑑max	2𝑑max	NUM
cana-1457	399	17	subsample	subsample	ADJ
cana-1457	399	18	ratio	ratio	NOUN
cana-1457	399	19	(	(	PUNCT
cana-1457	399	20	γ	γ	NOUN
cana-1457	399	21	):	):	PUNCT
cana-1457	399	22	controls	control	VERB
cana-1457	399	23	the	the	DET
cana-1457	399	24	fraction	fraction	NOUN
cana-1457	399	25	of	of	ADP
cana-1457	399	26	the	the	DET
cana-1457	399	27	training	training	NOUN
cana-1457	399	28	data	datum	NOUN
cana-1457	399	29	used	use	VERB
cana-1457	399	30	to	to	PART
cana-1457	399	31	build	build	VERB
cana-1457	399	32	each	each	DET
cana-1457	399	33	tree	tree	NOUN
cana-1457	399	34	.	.	PUNCT
cana-1457	400	1	smaller	small	ADJ
cana-1457	400	2	values	value	NOUN
cana-1457	400	3	help	help	VERB
cana-1457	400	4	to	to	PART
cana-1457	400	5	reduce	reduce	VERB
cana-1457	400	6	overfitting	overfitte	VERB
cana-1457	400	7	by	by	ADP
cana-1457	400	8	introducing	introduce	VERB
cana-1457	400	9	randomness	randomness	NOUN
cana-1457	400	10	into	into	ADP
cana-1457	400	11	the	the	DET
cana-1457	400	12	model	model	NOUN
cana-1457	400	13	.	.	PUNCT
cana-1457	401	1	𝑥𝑖	𝑥𝑖	PROPN
cana-1457	401	2	(	(	PUNCT
cana-1457	401	3	𝑡	𝑡	NOUN
cana-1457	401	4	)	)	PUNCT
cana-1457	401	5	∼	∼	NOUN
cana-1457	401	6	bernoulli(γ	bernoulli(γ	NOUN
cana-1457	401	7	)	)	PUNCT
cana-1457	401	8	colsample	colsample	NOUN
cana-1457	401	9	by	by	ADP
cana-1457	401	10	tree	tree	NOUN
cana-1457	401	11	(	(	PUNCT
cana-1457	401	12	α	α	NOUN
cana-1457	401	13	):	):	PUNCT
cana-1457	401	14	specifies	specify	VERB
cana-1457	401	15	the	the	DET
cana-1457	401	16	fraction	fraction	NOUN
cana-1457	401	17	of	of	ADP
cana-1457	401	18	features	feature	NOUN
cana-1457	401	19	used	use	VERB
cana-1457	401	20	to	to	PART
cana-1457	401	21	construct	construct	VERB
cana-1457	401	22	each	each	DET
cana-1457	401	23	tree	tree	NOUN
cana-1457	401	24	.	.	PUNCT
cana-1457	402	1	this	this	DET
cana-1457	402	2	parameter	parameter	NOUN
cana-1457	402	3	helps	help	VERB
cana-1457	402	4	to	to	PART
cana-1457	402	5	reduce	reduce	VERB
cana-1457	402	6	overfitting	overfitting	NOUN
cana-1457	402	7	and	and	CCONJ
cana-1457	402	8	can	can	AUX
cana-1457	402	9	be	be	AUX
cana-1457	402	10	particularly	particularly	ADV
cana-1457	402	11	useful	useful	ADJ
cana-1457	402	12	when	when	SCONJ
cana-1457	402	13	the	the	DET
cana-1457	402	14	number	number	NOUN
cana-1457	402	15	of	of	ADP
cana-1457	402	16	features	feature	NOUN
cana-1457	402	17	is	be	AUX
cana-1457	402	18	large	large	ADJ
cana-1457	402	19	.	.	PUNCT
cana-1457	403	1	ℒrg𝛩	ℒrg𝛩	NOUN
cana-1457	403	2	=	=	PUNCT
cana-1457	404	1	λ|𝜃𝑘|22	λ|𝜃𝑘|22	DET
cana-1457	404	2	l2	l2	NOUN
cana-1457	404	3	regularization	regularization	NOUN
cana-1457	404	4	(	(	PUNCT
cana-1457	404	5	λ	λ	NOUN
cana-1457	404	6	):	):	PUNCT
cana-1457	404	7	penalty	penalty	NOUN
cana-1457	404	8	term	term	NOUN
cana-1457	404	9	for	for	ADP
cana-1457	404	10	large	large	ADJ
cana-1457	404	11	coefficients	coefficient	NOUN
cana-1457	404	12	in	in	ADP
cana-1457	404	13	the	the	DET
cana-1457	404	14	model	model	NOUN
cana-1457	404	15	.	.	PUNCT
cana-1457	405	1	increasing	increase	VERB
cana-1457	405	2	this	this	DET
cana-1457	405	3	value	value	NOUN
cana-1457	405	4	helps	help	VERB
cana-1457	405	5	to	to	PART
cana-1457	405	6	reduce	reduce	VERB
cana-1457	405	7	model	model	NOUN
cana-1457	405	8	complexity	complexity	NOUN
cana-1457	405	9	and	and	CCONJ
cana-1457	405	10	avoid	avoid	VERB
cana-1457	405	11	overfitting	overfitte	VERB
cana-1457	405	12	.	.	PUNCT
cana-1457	406	1	ℒrg𝛩	ℒrg𝛩	NOUN
cana-1457	406	2	=	=	SYM
cana-1457	406	3	α|𝜃𝑘|1	α|𝜃𝑘|1	NUM
cana-1457	406	4	l1	l1	PROPN
cana-1457	406	5	regularization	regularization	NOUN
cana-1457	406	6	(	(	PUNCT
cana-1457	406	7	α	α	NOUN
cana-1457	406	8	):	):	PUNCT
cana-1457	406	9	adds	add	VERB
cana-1457	406	10	sparsity	sparsity	NOUN
cana-1457	406	11	to	to	ADP
cana-1457	406	12	the	the	DET
cana-1457	406	13	model	model	NOUN
cana-1457	406	14	,	,	PUNCT
cana-1457	406	15	forcing	force	VERB
cana-1457	406	16	some	some	DET
cana-1457	406	17	weights	weight	NOUN
cana-1457	406	18	to	to	PART
cana-1457	406	19	be	be	AUX
cana-1457	406	20	zero	zero	NUM
cana-1457	406	21	.	.	PUNCT
cana-1457	407	1	this	this	PRON
cana-1457	407	2	is	be	AUX
cana-1457	407	3	useful	useful	ADJ
cana-1457	407	4	when	when	SCONJ
cana-1457	407	5	dealing	deal	VERB
cana-1457	407	6	with	with	ADP
cana-1457	407	7	high	high	ADJ
cana-1457	407	8	-	-	PUNCT
cana-1457	407	9	dimensional	dimensional	ADJ
cana-1457	407	10	feature	feature	NOUN
cana-1457	407	11	spaces	space	NOUN
cana-1457	407	12	,	,	PUNCT
cana-1457	407	13	as	as	SCONJ
cana-1457	407	14	it	it	PRON
cana-1457	407	15	helps	helps	AUX
cana-1457	407	16	select	select	VERB
cana-1457	407	17	only	only	ADV
cana-1457	407	18	the	the	DET
cana-1457	407	19	most	most	ADV
cana-1457	407	20	important	important	ADJ
cana-1457	407	21	features	feature	NOUN
cana-1457	407	22	.	.	PUNCT
cana-1457	408	1	4.2.2	4.2.2	NUM
cana-1457	408	2	hyperparameters	hyperparameter	NOUN
cana-1457	408	3	for	for	ADP
cana-1457	408	4	lightgbm	lightgbm	NOUN
cana-1457	408	5	for	for	ADP
cana-1457	408	6	lightgbm	lightgbm	ADJ
cana-1457	408	7	,	,	PUNCT
cana-1457	408	8	the	the	DET
cana-1457	408	9	primary	primary	ADJ
cana-1457	408	10	hyperparameters	hyperparameter	NOUN
cana-1457	408	11	include	include	VERB
cana-1457	408	12	:	:	PUNCT
cana-1457	408	13	learning	learn	VERB
cana-1457	408	14	rate	rate	NOUN
cana-1457	408	15	(	(	PUNCT
cana-1457	408	16	η	η	NOUN
cana-1457	408	17	):	):	PUNCT
cana-1457	408	18	as	as	ADP
cana-1457	408	19	in	in	ADP
cana-1457	408	20	xgboost	xgboost	NUM
cana-1457	408	21	,	,	PUNCT
cana-1457	408	22	the	the	DET
cana-1457	408	23	learning	learning	NOUN
cana-1457	408	24	rate	rate	NOUN
cana-1457	408	25	controls	control	VERB
cana-1457	408	26	how	how	SCONJ
cana-1457	408	27	much	much	ADJ
cana-1457	408	28	each	each	DET
cana-1457	408	29	tree	tree	NOUN
cana-1457	408	30	contributes	contribute	VERB
cana-1457	408	31	to	to	ADP
cana-1457	408	32	the	the	DET
cana-1457	408	33	final	final	ADJ
cana-1457	408	34	prediction	prediction	NOUN
cana-1457	408	35	.	.	PUNCT
cana-1457	409	1	smaller	small	ADJ
cana-1457	409	2	values	value	NOUN
cana-1457	409	3	lead	lead	VERB
cana-1457	409	4	to	to	ADP
cana-1457	409	5	a	a	DET
cana-1457	409	6	slower	slow	ADJ
cana-1457	409	7	but	but	CCONJ
cana-1457	409	8	more	more	ADV
cana-1457	409	9	precise	precise	ADJ
cana-1457	409	10	learning	learning	NOUN
cana-1457	409	11	process	process	NOUN
cana-1457	409	12	.	.	PUNCT
cana-1457	410	1	𝐿	𝐿	PROPN
cana-1457	410	2	∝	∝	PROPN
cana-1457	410	3	2𝑑max	2𝑑max	NUM
cana-1457	410	4	num	num	ADJ
cana-1457	410	5	leaves	leave	NOUN
cana-1457	410	6	(	(	PUNCT
cana-1457	410	7	𝐿	𝐿	NOUN
cana-1457	410	8	):	):	PUNCT
cana-1457	410	9	controls	control	VERB
cana-1457	410	10	the	the	DET
cana-1457	410	11	number	number	NOUN
cana-1457	410	12	of	of	ADP
cana-1457	410	13	leaves	leave	NOUN
cana-1457	410	14	in	in	ADP
cana-1457	410	15	each	each	DET
cana-1457	410	16	tree	tree	NOUN
cana-1457	410	17	.	.	PUNCT
cana-1457	411	1	a	a	DET
cana-1457	411	2	higher	high	ADJ
cana-1457	411	3	value	value	NOUN
cana-1457	411	4	allows	allow	VERB
cana-1457	411	5	for	for	ADP
cana-1457	411	6	more	more	ADJ
cana-1457	411	7	complex	complex	ADJ
cana-1457	411	8	models	model	NOUN
cana-1457	411	9	but	but	CCONJ
cana-1457	411	10	increases	increase	VERB
cana-1457	411	11	the	the	DET
cana-1457	411	12	risk	risk	NOUN
cana-1457	411	13	of	of	ADP
cana-1457	411	14	overfitting	overfitte	VERB
cana-1457	411	15	.	.	PUNCT
cana-1457	412	1	cv	cv	NOUN
cana-1457	412	2	error	error	NOUN
cana-1457	412	3	=	=	SYM
cana-1457	412	4	1	1	NUM
cana-1457	412	5	𝐾	𝐾	PROPN
cana-1457	412	6	∑	∑	PUNCT
cana-1457	412	7	ℒ(θ(𝑘	ℒ(θ(𝑘	PROPN
cana-1457	412	8	)	)	PUNCT
cana-1457	412	9	)	)	PUNCT
cana-1457	413	1	𝐾	𝐾	NOUN
cana-1457	413	2	𝑘=1	𝑘=1	NUM
cana-1457	413	3	max	max	NOUN
cana-1457	413	4	depth	depth	NOUN
cana-1457	413	5	(	(	PUNCT
cana-1457	413	6	𝑑max	𝑑max	NOUN
cana-1457	413	7	):	):	PUNCT
cana-1457	413	8	limits	limit	VERB
cana-1457	413	9	the	the	DET
cana-1457	413	10	maximum	maximum	ADJ
cana-1457	413	11	depth	depth	NOUN
cana-1457	413	12	of	of	ADP
cana-1457	413	13	the	the	DET
cana-1457	413	14	trees	tree	NOUN
cana-1457	413	15	.	.	PUNCT
cana-1457	414	1	like	like	ADP
cana-1457	414	2	xgboost	xgboost	ADV
cana-1457	414	3	,	,	PUNCT
cana-1457	414	4	deeper	deep	ADJ
cana-1457	414	5	trees	tree	NOUN
cana-1457	414	6	can	can	AUX
cana-1457	414	7	model	model	VERB
cana-1457	414	8	more	more	ADV
cana-1457	414	9	complex	complex	ADJ
cana-1457	414	10	interactions	interaction	NOUN
cana-1457	414	11	but	but	CCONJ
cana-1457	414	12	may	may	AUX
cana-1457	414	13	overfit	overfit	VERB
cana-1457	414	14	.	.	PUNCT
cana-1457	415	1	4.4.3	4.4.3	NUM
cana-1457	415	2	grid	grid	NOUN
cana-1457	415	3	search	search	NOUN
cana-1457	415	4	and	and	CCONJ
cana-1457	415	5	cross	cross	NOUN
cana-1457	415	6	-	-	NOUN
cana-1457	415	7	validation	validation	NOUN
cana-1457	415	8	to	to	PART
cana-1457	415	9	optimize	optimize	VERB
cana-1457	415	10	the	the	DET
cana-1457	415	11	hyperparameters	hyperparameter	NOUN
cana-1457	415	12	for	for	ADP
cana-1457	415	13	both	both	PRON
cana-1457	415	14	xgboost	xgboost	ADV
cana-1457	415	15	and	and	CCONJ
cana-1457	415	16	lightgbm	lightgbm	ADJ
cana-1457	415	17	,	,	PUNCT
cana-1457	415	18	we	we	PRON
cana-1457	415	19	used	use	VERB
cana-1457	415	20	grid	grid	NOUN
cana-1457	415	21	search	search	NOUN
cana-1457	415	22	in	in	ADP
cana-1457	415	23	combination	combination	NOUN
cana-1457	415	24	with	with	ADP
cana-1457	415	25	cross	cross	NOUN
cana-1457	415	26	-	-	NOUN
cana-1457	415	27	validation	validation	ADJ
cana-1457	415	28	.	.	PUNCT
cana-1457	416	1	grid	grid	NOUN
cana-1457	416	2	search	search	NOUN
cana-1457	416	3	systematically	systematically	ADV
cana-1457	416	4	explores	explore	VERB
cana-1457	416	5	all	all	DET
cana-1457	416	6	possible	possible	ADJ
cana-1457	416	7	combinations	combination	NOUN
cana-1457	416	8	of	of	ADP
cana-1457	416	9	communications	communication	NOUN
cana-1457	416	10	on	on	ADP
cana-1457	416	11	applied	apply	VERB
cana-1457	416	12	nonlinear	nonlinear	ADJ
cana-1457	416	13	analysis	analysis	NOUN
cana-1457	416	14	issn	issn	NOUN
cana-1457	416	15	:	:	PUNCT
cana-1457	416	16	1074	1074	NUM
cana-1457	416	17	-	-	PUNCT
cana-1457	416	18	133x	133x	NUM
cana-1457	416	19	vol	vol	NOUN
cana-1457	416	20	31	31	NUM
cana-1457	416	21	no	no	NOUN
cana-1457	416	22	.	.	PUNCT
cana-1457	417	1	8s	8s	PROPN
cana-1457	417	2	(	(	PUNCT
cana-1457	417	3	2024	2024	NUM
cana-1457	417	4	)	)	PUNCT
cana-1457	417	5	76	76	NUM
cana-1457	418	1	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1457	418	2	hyperparameters	hyperparameter	NOUN
cana-1457	418	3	,	,	PUNCT
cana-1457	418	4	and	and	CCONJ
cana-1457	418	5	cross	cross	ADJ
cana-1457	418	6	-	-	ADJ
cana-1457	418	7	validation	validation	ADJ
cana-1457	418	8	evaluates	evaluate	NOUN
cana-1457	418	9	each	each	DET
cana-1457	418	10	combination	combination	NOUN
cana-1457	418	11	on	on	ADP
cana-1457	418	12	multiple	multiple	ADJ
cana-1457	418	13	subsets	subset	NOUN
cana-1457	418	14	of	of	ADP
cana-1457	418	15	the	the	DET
cana-1457	418	16	training	training	NOUN
cana-1457	418	17	data	datum	NOUN
cana-1457	418	18	.	.	PUNCT
cana-1457	419	1	this	this	DET
cana-1457	419	2	process	process	NOUN
cana-1457	419	3	helps	help	VERB
cana-1457	419	4	ensure	ensure	VERB
cana-1457	419	5	that	that	SCONJ
cana-1457	419	6	the	the	DET
cana-1457	419	7	selected	select	VERB
cana-1457	419	8	hyperparameters	hyperparameter	NOUN
cana-1457	419	9	generalize	generalize	VERB
cana-1457	419	10	well	well	ADV
cana-1457	419	11	to	to	ADP
cana-1457	419	12	unseen	unseen	ADJ
cana-1457	419	13	data	datum	NOUN
cana-1457	419	14	.	.	PUNCT
cana-1457	420	1	by	by	ADP
cana-1457	420	2	minimizing	minimize	VERB
cana-1457	420	3	the	the	DET
cana-1457	420	4	cross	cross	ADJ
cana-1457	420	5	-	-	ADJ
cana-1457	420	6	validation	validation	ADJ
cana-1457	420	7	error	error	NOUN
cana-1457	420	8	,	,	PUNCT
cana-1457	420	9	we	we	PRON
cana-1457	420	10	obtain	obtain	VERB
cana-1457	420	11	the	the	DET
cana-1457	420	12	optimal	optimal	ADJ
cana-1457	420	13	hyperparameters	hyperparameter	NOUN
cana-1457	420	14	for	for	ADP
cana-1457	420	15	each	each	DET
cana-1457	420	16	model	model	NOUN
cana-1457	420	17	,	,	PUNCT
cana-1457	420	18	ensuring	ensure	VERB
cana-1457	420	19	that	that	SCONJ
cana-1457	420	20	the	the	DET
cana-1457	420	21	models	model	NOUN
cana-1457	420	22	perform	perform	VERB
cana-1457	420	23	well	well	ADV
cana-1457	420	24	on	on	ADP
cana-1457	420	25	both	both	CCONJ
cana-1457	420	26	the	the	DET
cana-1457	420	27	training	training	NOUN
cana-1457	420	28	and	and	CCONJ
cana-1457	420	29	test	test	NOUN
cana-1457	420	30	data	datum	NOUN
cana-1457	420	31	.	.	PUNCT
cana-1457	421	1	5	5	X
cana-1457	421	2	.	.	PUNCT
cana-1457	421	3	model	model	NOUN
cana-1457	421	4	evaluation	evaluation	NOUN
cana-1457	421	5	evaluating	evaluate	VERB
cana-1457	421	6	the	the	DET
cana-1457	421	7	performance	performance	NOUN
cana-1457	421	8	of	of	ADP
cana-1457	421	9	machine	machine	NOUN
cana-1457	421	10	learning	learning	NOUN
cana-1457	421	11	models	model	NOUN
cana-1457	421	12	is	be	AUX
cana-1457	421	13	a	a	DET
cana-1457	421	14	critical	critical	ADJ
cana-1457	421	15	step	step	NOUN
cana-1457	421	16	to	to	PART
cana-1457	421	17	ensure	ensure	VERB
cana-1457	421	18	that	that	SCONJ
cana-1457	421	19	the	the	DET
cana-1457	421	20	models	model	NOUN
cana-1457	421	21	generalize	generalize	VERB
cana-1457	421	22	well	well	ADV
cana-1457	421	23	to	to	ADP
cana-1457	421	24	unseen	unseen	ADJ
cana-1457	421	25	data	datum	NOUN
cana-1457	421	26	and	and	CCONJ
cana-1457	421	27	provide	provide	VERB
cana-1457	421	28	reliable	reliable	ADJ
cana-1457	421	29	predictions	prediction	NOUN
cana-1457	421	30	in	in	ADP
cana-1457	421	31	real	real	ADJ
cana-1457	421	32	-	-	PUNCT
cana-1457	421	33	world	world	NOUN
cana-1457	421	34	applications	application	NOUN
cana-1457	421	35	.	.	PUNCT
cana-1457	422	1	for	for	ADP
cana-1457	422	2	this	this	DET
cana-1457	422	3	research	research	NOUN
cana-1457	422	4	,	,	PUNCT
cana-1457	422	5	we	we	PRON
cana-1457	422	6	focused	focus	VERB
cana-1457	422	7	on	on	ADP
cana-1457	422	8	evaluating	evaluate	VERB
cana-1457	422	9	the	the	DET
cana-1457	422	10	predictive	predictive	ADJ
cana-1457	422	11	performance	performance	NOUN
cana-1457	422	12	of	of	ADP
cana-1457	422	13	xgboost	xgboost	ADV
cana-1457	422	14	and	and	CCONJ
cana-1457	422	15	lightgbm	lightgbm	VERB
cana-1457	422	16	using	use	VERB
cana-1457	422	17	a	a	DET
cana-1457	422	18	variety	variety	NOUN
cana-1457	422	19	of	of	ADP
cana-1457	422	20	metrics	metric	NOUN
cana-1457	422	21	tailored	tailor	VERB
cana-1457	422	22	to	to	PART
cana-1457	422	23	regression	regression	VERB
cana-1457	422	24	problems	problem	NOUN
cana-1457	422	25	,	,	PUNCT
cana-1457	422	26	including	include	VERB
cana-1457	422	27	mean	mean	ADJ
cana-1457	422	28	absolute	absolute	ADJ
cana-1457	422	29	error	error	NOUN
cana-1457	422	30	(	(	PUNCT
cana-1457	422	31	mae	mae	PROPN
cana-1457	422	32	)	)	PUNCT
cana-1457	422	33	,	,	PUNCT
cana-1457	422	34	root	root	NOUN
cana-1457	422	35	mean	mean	VERB
cana-1457	422	36	squared	square	VERB
cana-1457	422	37	error	error	NOUN
cana-1457	422	38	(	(	PUNCT
cana-1457	422	39	rmse	rmse	NOUN
cana-1457	422	40	)	)	PUNCT
cana-1457	422	41	,	,	PUNCT
cana-1457	422	42	and	and	CCONJ
cana-1457	422	43	r	r	X
cana-1457	422	44	-	-	PUNCT
cana-1457	422	45	squared	square	VERB
cana-1457	422	46	(	(	PUNCT
cana-1457	422	47	r²	r²	NOUN
cana-1457	422	48	)	)	PUNCT
cana-1457	422	49	.	.	PUNCT
cana-1457	423	1	in	in	ADP
cana-1457	423	2	addition	addition	NOUN
cana-1457	423	3	,	,	PUNCT
cana-1457	423	4	we	we	PRON
cana-1457	423	5	employed	employ	VERB
cana-1457	423	6	cross	cross	NOUN
cana-1457	423	7	-	-	NOUN
cana-1457	423	8	validation	validation	NOUN
cana-1457	423	9	to	to	PART
cana-1457	423	10	validate	validate	VERB
cana-1457	423	11	model	model	NOUN
cana-1457	423	12	performance	performance	NOUN
cana-1457	423	13	and	and	CCONJ
cana-1457	423	14	applied	apply	VERB
cana-1457	423	15	robust	robust	ADJ
cana-1457	423	16	techniques	technique	NOUN
cana-1457	423	17	to	to	PART
cana-1457	423	18	evaluate	evaluate	VERB
cana-1457	423	19	model	model	NOUN
cana-1457	423	20	generalization	generalization	NOUN
cana-1457	423	21	and	and	CCONJ
cana-1457	423	22	stability	stability	NOUN
cana-1457	423	23	in	in	ADP
cana-1457	423	24	varying	vary	VERB
cana-1457	423	25	environmental	environmental	ADJ
cana-1457	423	26	conditions	condition	NOUN
cana-1457	423	27	.	.	PUNCT
cana-1457	424	1	5.1	5.1	NUM
cana-1457	424	2	cross	cross	NOUN
cana-1457	424	3	-	-	NOUN
cana-1457	424	4	validation	validation	NOUN
cana-1457	424	5	to	to	PART
cana-1457	424	6	ensure	ensure	VERB
cana-1457	424	7	that	that	SCONJ
cana-1457	424	8	the	the	DET
cana-1457	424	9	models	model	NOUN
cana-1457	424	10	generalize	generalize	VERB
cana-1457	424	11	well	well	ADV
cana-1457	424	12	to	to	ADP
cana-1457	424	13	new	new	ADJ
cana-1457	424	14	data	datum	NOUN
cana-1457	424	15	,	,	PUNCT
cana-1457	424	16	we	we	PRON
cana-1457	424	17	applied	apply	VERB
cana-1457	424	18	k	k	ADJ
cana-1457	424	19	-	-	ADJ
cana-1457	424	20	fold	fold	ADJ
cana-1457	424	21	cross	cross	NOUN
cana-1457	424	22	-	-	NOUN
cana-1457	424	23	validation	validation	NOUN
cana-1457	424	24	,	,	PUNCT
cana-1457	424	25	which	which	PRON
cana-1457	424	26	involves	involve	VERB
cana-1457	424	27	partitioning	partition	VERB
cana-1457	424	28	the	the	DET
cana-1457	424	29	dataset	dataset	NOUN
cana-1457	424	30	into	into	ADP
cana-1457	424	31	kk	kk	PROPN
cana-1457	424	32	subsets	subset	NOUN
cana-1457	424	33	(	(	PUNCT
cana-1457	424	34	or	or	CCONJ
cana-1457	424	35	folds	fold	NOUN
cana-1457	424	36	)	)	PUNCT
cana-1457	424	37	.	.	PUNCT
cana-1457	425	1	for	for	ADP
cana-1457	425	2	each	each	DET
cana-1457	425	3	iteration	iteration	NOUN
cana-1457	425	4	,	,	PUNCT
cana-1457	425	5	one	one	NUM
cana-1457	425	6	subset	subset	NOUN
cana-1457	425	7	is	be	AUX
cana-1457	425	8	used	use	VERB
cana-1457	425	9	as	as	ADP
cana-1457	425	10	the	the	DET
cana-1457	425	11	test	test	NOUN
cana-1457	425	12	set	set	VERB
cana-1457	425	13	while	while	SCONJ
cana-1457	425	14	the	the	DET
cana-1457	425	15	remaining	remain	VERB
cana-1457	425	16	k−1k−1subsets	k−1k−1subset	NOUN
cana-1457	425	17	are	be	AUX
cana-1457	425	18	used	use	VERB
cana-1457	425	19	as	as	ADP
cana-1457	425	20	the	the	DET
cana-1457	425	21	training	training	NOUN
cana-1457	425	22	set	set	NOUN
cana-1457	425	23	.	.	PUNCT
cana-1457	426	1	this	this	DET
cana-1457	426	2	process	process	NOUN
cana-1457	426	3	is	be	AUX
cana-1457	426	4	repeated	repeat	VERB
cana-1457	426	5	kk	kk	PROPN
cana-1457	426	6	times	times	PROPN
cana-1457	426	7	,	,	PUNCT
cana-1457	426	8	with	with	ADP
cana-1457	426	9	each	each	DET
cana-1457	426	10	fold	fold	NOUN
cana-1457	426	11	serving	serve	VERB
cana-1457	426	12	as	as	ADP
cana-1457	426	13	the	the	DET
cana-1457	426	14	test	test	NOUN
cana-1457	426	15	set	set	VERB
cana-1457	426	16	exactly	exactly	ADV
cana-1457	426	17	once	once	ADV
cana-1457	426	18	.	.	PUNCT
cana-1457	427	1	the	the	DET
cana-1457	427	2	average	average	ADJ
cana-1457	427	3	performance	performance	NOUN
cana-1457	427	4	across	across	ADP
cana-1457	427	5	all	all	DET
cana-1457	427	6	folds	fold	NOUN
cana-1457	427	7	is	be	AUX
cana-1457	427	8	used	use	VERB
cana-1457	427	9	as	as	ADP
cana-1457	427	10	the	the	DET
cana-1457	427	11	final	final	ADJ
cana-1457	427	12	evaluation	evaluation	NOUN
cana-1457	427	13	metric	metric	NOUN
cana-1457	427	14	.	.	PUNCT
cana-1457	428	1	the	the	DET
cana-1457	428	2	cross	cross	ADJ
cana-1457	428	3	-	-	ADJ
cana-1457	428	4	validation	validation	ADJ
cana-1457	428	5	error	error	NOUN
cana-1457	428	6	for	for	ADP
cana-1457	428	7	each	each	DET
cana-1457	428	8	model	model	NOUN
cana-1457	428	9	is	be	AUX
cana-1457	428	10	computed	compute	VERB
cana-1457	428	11	as	as	ADP
cana-1457	428	12	:	:	PUNCT
cana-1457	428	13	cv	cv	NOUN
cana-1457	428	14	error	error	NOUN
cana-1457	428	15	=	=	SYM
cana-1457	428	16	1	1	NUM
cana-1457	428	17	k	k	NOUN
cana-1457	428	18	∑	∑	PROPN
cana-1457	428	19	(	(	PUNCT
cana-1457	428	20	l(fθi	l(fθi	PROPN
cana-1457	428	21	(	(	PUNCT
cana-1457	428	22	xtrain	xtrain	PROPN
cana-1457	428	23	)	)	PUNCT
cana-1457	428	24	,	,	PUNCT
cana-1457	428	25	ytrain	ytrain	NOUN
cana-1457	428	26	)	)	PUNCT
cana-1457	429	1	+	+	CCONJ
cana-1457	429	2	l(fθi	l(fθi	PROPN
cana-1457	429	3	(	(	PUNCT
cana-1457	429	4	xtest	xtest	PROPN
cana-1457	429	5	)	)	PUNCT
cana-1457	429	6	,	,	PUNCT
cana-1457	429	7	ytrain	ytrain	NOUN
cana-1457	429	8	)	)	PUNCT
cana-1457	429	9	)	)	PUNCT
cana-1457	430	1	k	k	PROPN
cana-1457	431	1	i=1	i=1	X
cana-1457	431	2	where	where	SCONJ
cana-1457	431	3	:	:	PUNCT
cana-1457	431	4	•	•	NUM
cana-1457	431	5	l	l	NOUN
cana-1457	431	6	represents	represent	VERB
cana-1457	431	7	the	the	DET
cana-1457	431	8	loss	loss	NOUN
cana-1457	431	9	function	function	NOUN
cana-1457	431	10	(	(	PUNCT
cana-1457	431	11	in	in	ADP
cana-1457	431	12	this	this	DET
cana-1457	431	13	case	case	NOUN
cana-1457	431	14	,	,	PUNCT
cana-1457	431	15	mean	mean	VERB
cana-1457	431	16	absolute	absolute	ADJ
cana-1457	431	17	error	error	NOUN
cana-1457	431	18	(	(	PUNCT
cana-1457	431	19	mae	mae	PROPN
cana-1457	431	20	)	)	PUNCT
cana-1457	431	21	)	)	PUNCT
cana-1457	431	22	.	.	PUNCT
cana-1457	432	1	•	•	NUM
cana-1457	432	2	fθi	fθi	NOUN
cana-1457	432	3	is	be	AUX
cana-1457	432	4	the	the	DET
cana-1457	432	5	trained	train	VERB
cana-1457	432	6	model	model	NOUN
cana-1457	432	7	using	use	VERB
cana-1457	432	8	hyperparameters	hyperparameter	NOUN
cana-1457	432	9	θi	θi	ADP
cana-1457	432	10	for	for	ADP
cana-1457	432	11	the	the	DET
cana-1457	432	12	ith	ith	PROPN
cana-1457	432	13	fold	fold	NOUN
cana-1457	432	14	.	.	PUNCT
cana-1457	433	1	•	•	NUM
cana-1457	433	2	xtrain	xtrain	PROPN
cana-1457	433	3	and	and	CCONJ
cana-1457	433	4	xtest	xtest	PROPN
cana-1457	433	5	are	be	AUX
cana-1457	433	6	the	the	DET
cana-1457	433	7	training	training	NOUN
cana-1457	433	8	and	and	CCONJ
cana-1457	433	9	test	test	NOUN
cana-1457	433	10	data	datum	NOUN
cana-1457	433	11	,	,	PUNCT
cana-1457	433	12	respectively	respectively	ADV
cana-1457	433	13	.	.	PUNCT
cana-1457	434	1	•	•	NUM
cana-1457	434	2	ytrain	ytrain	NOUN
cana-1457	434	3	and	and	CCONJ
cana-1457	434	4	ytrain	ytrain	NOUN
cana-1457	434	5	are	be	AUX
cana-1457	434	6	the	the	DET
cana-1457	434	7	corresponding	corresponding	ADJ
cana-1457	434	8	target	target	NOUN
cana-1457	434	9	variables	variable	NOUN
cana-1457	434	10	(	(	PUNCT
cana-1457	434	11	moisture	moisture	NOUN
cana-1457	434	12	content	content	NOUN
cana-1457	434	13	)	)	PUNCT
cana-1457	434	14	.	.	PUNCT
cana-1457	435	1	by	by	ADP
cana-1457	435	2	evaluating	evaluate	VERB
cana-1457	435	3	the	the	DET
cana-1457	435	4	model	model	NOUN
cana-1457	435	5	across	across	ADP
cana-1457	435	6	multiple	multiple	ADJ
cana-1457	435	7	folds	fold	NOUN
cana-1457	435	8	,	,	PUNCT
cana-1457	435	9	we	we	PRON
cana-1457	435	10	reduce	reduce	VERB
cana-1457	435	11	the	the	DET
cana-1457	435	12	risk	risk	NOUN
cana-1457	435	13	of	of	ADP
cana-1457	435	14	overfitting	overfitte	VERB
cana-1457	435	15	and	and	CCONJ
cana-1457	435	16	obtain	obtain	VERB
cana-1457	435	17	a	a	DET
cana-1457	435	18	more	more	ADV
cana-1457	435	19	reliable	reliable	ADJ
cana-1457	435	20	estimate	estimate	NOUN
cana-1457	435	21	of	of	ADP
cana-1457	435	22	how	how	SCONJ
cana-1457	435	23	the	the	DET
cana-1457	435	24	model	model	NOUN
cana-1457	435	25	will	will	AUX
cana-1457	435	26	perform	perform	VERB
cana-1457	435	27	on	on	ADP
cana-1457	435	28	unseen	unseen	ADJ
cana-1457	435	29	data	datum	NOUN
cana-1457	435	30	.	.	PUNCT
cana-1457	436	1	in	in	ADP
cana-1457	436	2	this	this	DET
cana-1457	436	3	study	study	NOUN
cana-1457	436	4	,	,	PUNCT
cana-1457	436	5	we	we	PRON
cana-1457	436	6	used	use	VERB
cana-1457	436	7	k=10k=10	k=10k=10	NOUN
cana-1457	436	8	for	for	ADP
cana-1457	436	9	the	the	DET
cana-1457	436	10	cross	cross	NOUN
cana-1457	436	11	-	-	NOUN
cana-1457	436	12	validation	validation	NOUN
cana-1457	436	13	,	,	PUNCT
cana-1457	436	14	which	which	PRON
cana-1457	436	15	provided	provide	VERB
cana-1457	436	16	a	a	DET
cana-1457	436	17	balance	balance	NOUN
cana-1457	436	18	between	between	ADP
cana-1457	436	19	computational	computational	ADJ
cana-1457	436	20	efficiency	efficiency	NOUN
cana-1457	436	21	and	and	CCONJ
cana-1457	436	22	robust	robust	ADJ
cana-1457	436	23	performance	performance	NOUN
cana-1457	436	24	estimation	estimation	NOUN
cana-1457	436	25	.	.	PUNCT
cana-1457	437	1	5.2	5.2	NUM
cana-1457	437	2	performance	performance	NOUN
cana-1457	437	3	metrics	metric	NOUN
cana-1457	437	4	for	for	ADP
cana-1457	437	5	this	this	DET
cana-1457	437	6	regression	regression	NOUN
cana-1457	437	7	task	task	NOUN
cana-1457	437	8	,	,	PUNCT
cana-1457	437	9	we	we	PRON
cana-1457	437	10	utilized	utilize	VERB
cana-1457	437	11	the	the	DET
cana-1457	437	12	following	follow	VERB
cana-1457	437	13	performance	performance	NOUN
cana-1457	437	14	metrics	metric	NOUN
cana-1457	437	15	:	:	PUNCT
cana-1457	437	16	5.2.1	5.2.1	NUM
cana-1457	437	17	mean	mean	VERB
cana-1457	437	18	absolute	absolute	ADJ
cana-1457	437	19	error	error	NOUN
cana-1457	437	20	(	(	PUNCT
cana-1457	437	21	mae	mae	PROPN
cana-1457	437	22	)	)	PUNCT
cana-1457	437	23	the	the	DET
cana-1457	437	24	mean	mean	ADJ
cana-1457	437	25	absolute	absolute	ADJ
cana-1457	437	26	error	error	NOUN
cana-1457	437	27	(	(	PUNCT
cana-1457	437	28	mae	mae	PROPN
cana-1457	437	29	)	)	PUNCT
cana-1457	437	30	is	be	AUX
cana-1457	437	31	one	one	NUM
cana-1457	437	32	of	of	ADP
cana-1457	437	33	the	the	DET
cana-1457	437	34	most	most	ADV
cana-1457	437	35	widely	widely	ADV
cana-1457	437	36	used	use	VERB
cana-1457	437	37	metrics	metric	NOUN
cana-1457	437	38	for	for	ADP
cana-1457	437	39	evaluating	evaluate	VERB
cana-1457	437	40	regression	regression	NOUN
cana-1457	437	41	models	model	NOUN
cana-1457	437	42	,	,	PUNCT
cana-1457	437	43	as	as	SCONJ
cana-1457	437	44	it	it	PRON
cana-1457	437	45	measures	measure	VERB
cana-1457	437	46	the	the	DET
cana-1457	437	47	average	average	ADJ
cana-1457	437	48	magnitude	magnitude	NOUN
cana-1457	437	49	of	of	ADP
cana-1457	437	50	the	the	DET
cana-1457	437	51	errors	error	NOUN
cana-1457	437	52	between	between	ADP
cana-1457	437	53	the	the	DET
cana-1457	437	54	predicted	predict	VERB
cana-1457	437	55	and	and	CCONJ
cana-1457	437	56	actual	actual	ADJ
cana-1457	437	57	values	value	NOUN
cana-1457	437	58	,	,	PUNCT
cana-1457	437	59	without	without	ADP
cana-1457	437	60	considering	consider	VERB
cana-1457	437	61	the	the	DET
cana-1457	437	62	direction	direction	NOUN
cana-1457	437	63	of	of	ADP
cana-1457	437	64	the	the	DET
cana-1457	437	65	errors	error	NOUN
cana-1457	437	66	.	.	PUNCT
cana-1457	438	1	mae	mae	PROPN
cana-1457	438	2	is	be	AUX
cana-1457	438	3	particularly	particularly	ADV
cana-1457	438	4	useful	useful	ADJ
cana-1457	438	5	in	in	ADP
cana-1457	438	6	real	real	ADJ
cana-1457	438	7	-	-	PUNCT
cana-1457	438	8	world	world	NOUN
cana-1457	438	9	applications	application	NOUN
cana-1457	438	10	where	where	SCONJ
cana-1457	438	11	large	large	ADJ
cana-1457	438	12	deviations	deviation	NOUN
cana-1457	438	13	from	from	ADP
cana-1457	438	14	the	the	DET
cana-1457	438	15	true	true	ADJ
cana-1457	438	16	values	value	NOUN
cana-1457	438	17	are	be	AUX
cana-1457	438	18	undesirable	undesirable	ADJ
cana-1457	438	19	.	.	PUNCT
cana-1457	439	1	the	the	DET
cana-1457	439	2	mae	mae	PROPN
cana-1457	439	3	is	be	AUX
cana-1457	439	4	calculated	calculate	VERB
cana-1457	439	5	as	as	ADP
cana-1457	439	6	:	:	PUNCT
cana-1457	439	7	communications	communication	NOUN
cana-1457	439	8	on	on	ADP
cana-1457	439	9	applied	apply	VERB
cana-1457	439	10	nonlinear	nonlinear	ADJ
cana-1457	439	11	analysis	analysis	NOUN
cana-1457	439	12	issn	issn	NOUN
cana-1457	439	13	:	:	PUNCT
cana-1457	439	14	1074	1074	NUM
cana-1457	439	15	-	-	PUNCT
cana-1457	439	16	133x	133x	NUM
cana-1457	439	17	vol	vol	NOUN
cana-1457	439	18	31	31	NUM
cana-1457	439	19	no	no	NOUN
cana-1457	439	20	.	.	PUNCT
cana-1457	440	1	8s	8s	PROPN
cana-1457	440	2	(	(	PUNCT
cana-1457	440	3	2024	2024	NUM
cana-1457	440	4	)	)	PUNCT
cana-1457	440	5	77	77	NUM
cana-1457	440	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	440	7	mae	mae	PROPN
cana-1457	440	8	=	=	SYM
cana-1457	440	9	1	1	NUM
cana-1457	440	10	n	n	NUM
cana-1457	440	11	∑|yi	∑|yi	ADJ
cana-1457	440	12	−	−	PROPN
cana-1457	441	1	yî|	yî|	PROPN
cana-1457	441	2	n	n	CCONJ
cana-1457	441	3	i=1	i=1	X
cana-1457	441	4	where	where	SCONJ
cana-1457	441	5	:	:	PUNCT
cana-1457	441	6	•	•	NUM
cana-1457	441	7	yi	yi	NOUN
cana-1457	441	8	is	be	AUX
cana-1457	441	9	the	the	DET
cana-1457	441	10	actual	actual	ADJ
cana-1457	441	11	moisture	moisture	NOUN
cana-1457	441	12	content	content	NOUN
cana-1457	441	13	at	at	ADP
cana-1457	441	14	the	the	DET
cana-1457	441	15	ith	ith	PROPN
cana-1457	441	16	time	time	NOUN
cana-1457	441	17	step	step	NOUN
cana-1457	441	18	.	.	PUNCT
cana-1457	442	1	•	•	INTJ
cana-1457	442	2	yî	yî	PROPN
cana-1457	442	3	is	be	AUX
cana-1457	442	4	the	the	DET
cana-1457	442	5	predicted	predict	VERB
cana-1457	442	6	moisture	moisture	NOUN
cana-1457	442	7	content	content	NOUN
cana-1457	442	8	from	from	ADP
cana-1457	442	9	the	the	DET
cana-1457	442	10	model	model	NOUN
cana-1457	442	11	.	.	PUNCT
cana-1457	443	1	•	•	NUM
cana-1457	444	1	n	n	PRON
cana-1457	444	2	is	be	AUX
cana-1457	444	3	the	the	DET
cana-1457	444	4	total	total	ADJ
cana-1457	444	5	number	number	NOUN
cana-1457	444	6	of	of	ADP
cana-1457	444	7	predictions	prediction	NOUN
cana-1457	444	8	.	.	PUNCT
cana-1457	445	1	in	in	ADP
cana-1457	445	2	this	this	DET
cana-1457	445	3	research	research	NOUN
cana-1457	445	4	,	,	PUNCT
cana-1457	445	5	mae	mae	PROPN
cana-1457	445	6	served	serve	VERB
cana-1457	445	7	as	as	ADP
cana-1457	445	8	the	the	DET
cana-1457	445	9	primary	primary	ADJ
cana-1457	445	10	metric	metric	NOUN
cana-1457	445	11	because	because	SCONJ
cana-1457	445	12	it	it	PRON
cana-1457	445	13	provides	provide	VERB
cana-1457	445	14	an	an	DET
cana-1457	445	15	intuitive	intuitive	ADJ
cana-1457	445	16	measure	measure	NOUN
cana-1457	445	17	of	of	ADP
cana-1457	445	18	the	the	DET
cana-1457	445	19	model	model	NOUN
cana-1457	445	20	's	's	PART
cana-1457	445	21	performance	performance	NOUN
cana-1457	445	22	in	in	ADP
cana-1457	445	23	predicting	predict	VERB
cana-1457	445	24	the	the	DET
cana-1457	445	25	moisture	moisture	NOUN
cana-1457	445	26	content	content	NOUN
cana-1457	445	27	of	of	ADP
cana-1457	445	28	tea	tea	NOUN
cana-1457	445	29	leaves	leave	NOUN
cana-1457	445	30	.	.	PUNCT
cana-1457	446	1	a	a	DET
cana-1457	446	2	lower	low	ADJ
cana-1457	446	3	mae	mae	PROPN
cana-1457	446	4	indicates	indicate	VERB
cana-1457	446	5	that	that	SCONJ
cana-1457	446	6	the	the	DET
cana-1457	446	7	model	model	NOUN
cana-1457	446	8	’s	’s	PART
cana-1457	446	9	predictions	prediction	NOUN
cana-1457	446	10	are	be	AUX
cana-1457	446	11	closer	close	ADJ
cana-1457	446	12	to	to	ADP
cana-1457	446	13	the	the	DET
cana-1457	446	14	actual	actual	ADJ
cana-1457	446	15	values	value	NOUN
cana-1457	446	16	,	,	PUNCT
cana-1457	446	17	making	make	VERB
cana-1457	446	18	it	it	PRON
cana-1457	446	19	a	a	DET
cana-1457	446	20	reliable	reliable	ADJ
cana-1457	446	21	metric	metric	NOUN
cana-1457	446	22	for	for	ADP
cana-1457	446	23	this	this	DET
cana-1457	446	24	problem	problem	NOUN
cana-1457	446	25	.	.	PUNCT
cana-1457	447	1	5.2.2	5.2.2	NUM
cana-1457	447	2	root	root	NOUN
cana-1457	447	3	mean	mean	VERB
cana-1457	447	4	squared	square	VERB
cana-1457	447	5	error	error	NOUN
cana-1457	447	6	(	(	PUNCT
cana-1457	447	7	rmse	rmse	NOUN
cana-1457	447	8	)	)	PUNCT
cana-1457	447	9	the	the	DET
cana-1457	447	10	root	root	NOUN
cana-1457	447	11	mean	mean	VERB
cana-1457	447	12	squared	square	VERB
cana-1457	447	13	error	error	NOUN
cana-1457	447	14	(	(	PUNCT
cana-1457	447	15	rmse	rmse	NOUN
cana-1457	447	16	)	)	PUNCT
cana-1457	447	17	is	be	AUX
cana-1457	447	18	another	another	DET
cana-1457	447	19	important	important	ADJ
cana-1457	447	20	metric	metric	NOUN
cana-1457	447	21	used	use	VERB
cana-1457	447	22	to	to	PART
cana-1457	447	23	measure	measure	VERB
cana-1457	447	24	the	the	DET
cana-1457	447	25	difference	difference	NOUN
cana-1457	447	26	between	between	ADP
cana-1457	447	27	the	the	DET
cana-1457	447	28	predicted	predict	VERB
cana-1457	447	29	and	and	CCONJ
cana-1457	447	30	actual	actual	ADJ
cana-1457	447	31	values	value	NOUN
cana-1457	447	32	.	.	PUNCT
cana-1457	448	1	unlike	unlike	ADP
cana-1457	448	2	mae	mae	PROPN
cana-1457	448	3	,	,	PUNCT
cana-1457	448	4	rmse	rmse	NOUN
cana-1457	448	5	gives	give	VERB
cana-1457	448	6	more	more	ADJ
cana-1457	448	7	weight	weight	NOUN
cana-1457	448	8	to	to	ADP
cana-1457	448	9	larger	large	ADJ
cana-1457	448	10	errors	error	NOUN
cana-1457	448	11	,	,	PUNCT
cana-1457	448	12	making	make	VERB
cana-1457	448	13	it	it	PRON
cana-1457	448	14	more	more	ADV
cana-1457	448	15	sensitive	sensitive	ADJ
cana-1457	448	16	to	to	ADP
cana-1457	448	17	outliers	outlier	NOUN
cana-1457	448	18	in	in	ADP
cana-1457	448	19	the	the	DET
cana-1457	448	20	data	datum	NOUN
cana-1457	448	21	.	.	PUNCT
cana-1457	449	1	rmse	rmse	PROPN
cana-1457	449	2	is	be	AUX
cana-1457	449	3	calculated	calculate	VERB
cana-1457	449	4	as	as	ADP
cana-1457	449	5	:	:	PUNCT
cana-1457	449	6	rmse	rmse	NOUN
cana-1457	450	1	=	=	SYM
cana-1457	450	2	√	√	ADV
cana-1457	450	3	1	1	NUM
cana-1457	450	4	n	n	NOUN
cana-1457	450	5	∑(yi	∑(yi	NOUN
cana-1457	450	6	−	−	PROPN
cana-1457	450	7	yî)2	yî)2	PROPN
cana-1457	450	8	n	n	PRON
cana-1457	450	9	i=1	i=1	NOUN
cana-1457	450	10	while	while	SCONJ
cana-1457	450	11	mae	mae	PROPN
cana-1457	450	12	provides	provide	VERB
cana-1457	450	13	a	a	DET
cana-1457	450	14	linear	linear	ADJ
cana-1457	450	15	measure	measure	NOUN
cana-1457	450	16	of	of	ADP
cana-1457	450	17	error	error	NOUN
cana-1457	450	18	,	,	PUNCT
cana-1457	450	19	rmse	rmse	PROPN
cana-1457	450	20	highlights	highlight	VERB
cana-1457	450	21	significant	significant	ADJ
cana-1457	450	22	deviations	deviation	NOUN
cana-1457	450	23	,	,	PUNCT
cana-1457	450	24	ensuring	ensure	VERB
cana-1457	450	25	that	that	SCONJ
cana-1457	450	26	models	model	NOUN
cana-1457	450	27	producing	produce	VERB
cana-1457	450	28	large	large	ADJ
cana-1457	450	29	prediction	prediction	NOUN
cana-1457	450	30	errors	error	NOUN
cana-1457	450	31	are	be	AUX
cana-1457	450	32	penalized	penalize	VERB
cana-1457	450	33	more	more	ADV
cana-1457	450	34	heavily	heavily	ADV
cana-1457	450	35	.	.	PUNCT
cana-1457	451	1	this	this	PRON
cana-1457	451	2	helps	help	VERB
cana-1457	451	3	in	in	ADP
cana-1457	451	4	identifying	identify	VERB
cana-1457	451	5	models	model	NOUN
cana-1457	451	6	that	that	PRON
cana-1457	451	7	may	may	AUX
cana-1457	451	8	be	be	AUX
cana-1457	451	9	accurate	accurate	ADJ
cana-1457	451	10	on	on	ADP
cana-1457	451	11	average	average	ADJ
cana-1457	451	12	but	but	CCONJ
cana-1457	451	13	perform	perform	VERB
cana-1457	451	14	poorly	poorly	ADV
cana-1457	451	15	on	on	ADP
cana-1457	451	16	specific	specific	ADJ
cana-1457	451	17	outlier	outlier	ADJ
cana-1457	451	18	cases	case	NOUN
cana-1457	451	19	.	.	PUNCT
cana-1457	452	1	5.2.3	5.2.3	NUM
cana-1457	452	2	r	r	NOUN
cana-1457	452	3	-	-	PUNCT
cana-1457	452	4	squared	square	VERB
cana-1457	452	5	(	(	PUNCT
cana-1457	452	6	r²	r²	NOUN
cana-1457	452	7	)	)	PUNCT
cana-1457	452	8	r	r	NOUN
cana-1457	452	9	-	-	PUNCT
cana-1457	452	10	squared	square	VERB
cana-1457	452	11	(	(	PUNCT
cana-1457	452	12	r²	r²	PROPN
cana-1457	452	13	)	)	PUNCT
cana-1457	452	14	,	,	PUNCT
cana-1457	452	15	also	also	ADV
cana-1457	452	16	known	know	VERB
cana-1457	452	17	as	as	ADP
cana-1457	452	18	the	the	DET
cana-1457	452	19	coefficient	coefficient	NOUN
cana-1457	452	20	of	of	ADP
cana-1457	452	21	determination	determination	NOUN
cana-1457	452	22	,	,	PUNCT
cana-1457	452	23	is	be	AUX
cana-1457	452	24	a	a	DET
cana-1457	452	25	measure	measure	NOUN
cana-1457	452	26	of	of	ADP
cana-1457	452	27	how	how	SCONJ
cana-1457	452	28	well	well	ADV
cana-1457	452	29	the	the	DET
cana-1457	452	30	model	model	NOUN
cana-1457	452	31	’s	’s	PART
cana-1457	452	32	predictions	prediction	NOUN
cana-1457	452	33	match	match	VERB
cana-1457	452	34	the	the	DET
cana-1457	452	35	actual	actual	ADJ
cana-1457	452	36	data	datum	NOUN
cana-1457	452	37	.	.	PUNCT
cana-1457	453	1	it	it	PRON
cana-1457	453	2	represents	represent	VERB
cana-1457	453	3	the	the	DET
cana-1457	453	4	proportion	proportion	NOUN
cana-1457	453	5	of	of	ADP
cana-1457	453	6	the	the	DET
cana-1457	453	7	variance	variance	NOUN
cana-1457	453	8	in	in	ADP
cana-1457	453	9	the	the	DET
cana-1457	453	10	dependent	dependent	ADJ
cana-1457	453	11	variable	variable	NOUN
cana-1457	453	12	(	(	PUNCT
cana-1457	453	13	moisture	moisture	NOUN
cana-1457	453	14	content	content	NOUN
cana-1457	453	15	)	)	PUNCT
cana-1457	453	16	that	that	PRON
cana-1457	453	17	is	be	AUX
cana-1457	453	18	predictable	predictable	ADJ
cana-1457	453	19	from	from	ADP
cana-1457	453	20	the	the	DET
cana-1457	453	21	independent	independent	ADJ
cana-1457	453	22	variables	variable	NOUN
cana-1457	453	23	(	(	PUNCT
cana-1457	453	24	temperature	temperature	NOUN
cana-1457	453	25	,	,	PUNCT
cana-1457	453	26	humidity	humidity	NOUN
cana-1457	453	27	)	)	PUNCT
cana-1457	453	28	.	.	PUNCT
cana-1457	454	1	r2r2	r2r2	NOUN
cana-1457	454	2	is	be	AUX
cana-1457	454	3	calculated	calculate	VERB
cana-1457	454	4	as	as	ADP
cana-1457	454	5	:	:	PUNCT
cana-1457	454	6	r2	r2	NOUN
cana-1457	454	7	=	=	SYM
cana-1457	454	8	1	1	NUM
cana-1457	454	9	−	−	NOUN
cana-1457	454	10	∑	∑	PROPN
cana-1457	454	11	(	(	PUNCT
cana-1457	454	12	yi	yi	NOUN
cana-1457	454	13	−	−	PROPN
cana-1457	454	14	yî	yî	PROPN
cana-1457	454	15	)	)	PUNCT
cana-1457	454	16	2n	2n	NUM
cana-1457	455	1	i=1	i=1	X
cana-1457	455	2	∑	∑	PROPN
cana-1457	455	3	(	(	PUNCT
cana-1457	455	4	yi	yi	NOUN
cana-1457	455	5	−	−	PROPN
cana-1457	456	1	y̅)2n	y̅)2n	PROPN
cana-1457	456	2	i=1	i=1	PROPN
cana-1457	457	1	where	where	SCONJ
cana-1457	457	2	:	:	PUNCT
cana-1457	457	3	•	•	X
cana-1457	457	4	y̅	y̅	PROPN
cana-1457	457	5	is	be	AUX
cana-1457	457	6	the	the	DET
cana-1457	457	7	mean	mean	NOUN
cana-1457	457	8	of	of	ADP
cana-1457	457	9	the	the	DET
cana-1457	457	10	actual	actual	ADJ
cana-1457	457	11	moisture	moisture	NOUN
cana-1457	457	12	content	content	NOUN
cana-1457	457	13	values	value	NOUN
cana-1457	457	14	.	.	PUNCT
cana-1457	458	1	an	an	DET
cana-1457	458	2	r2r2	r2r2	NOUN
cana-1457	458	3	value	value	NOUN
cana-1457	458	4	of	of	ADP
cana-1457	458	5	1	1	NUM
cana-1457	458	6	indicates	indicate	VERB
cana-1457	458	7	perfect	perfect	ADJ
cana-1457	458	8	predictions	prediction	NOUN
cana-1457	458	9	,	,	PUNCT
cana-1457	458	10	while	while	SCONJ
cana-1457	458	11	an	an	DET
cana-1457	458	12	r2	r2	NOUN
cana-1457	458	13	value	value	NOUN
cana-1457	458	14	of	of	ADP
cana-1457	458	15	0	0	NUM
cana-1457	458	16	means	mean	VERB
cana-1457	458	17	the	the	DET
cana-1457	458	18	model	model	NOUN
cana-1457	458	19	’s	’s	PART
cana-1457	458	20	predictions	prediction	NOUN
cana-1457	458	21	are	be	AUX
cana-1457	458	22	no	no	ADV
cana-1457	458	23	better	well	ADJ
cana-1457	458	24	than	than	ADP
cana-1457	458	25	the	the	DET
cana-1457	458	26	mean	mean	NOUN
cana-1457	458	27	of	of	ADP
cana-1457	458	28	the	the	DET
cana-1457	458	29	data	datum	NOUN
cana-1457	458	30	.	.	PUNCT
cana-1457	459	1	in	in	ADP
cana-1457	459	2	this	this	DET
cana-1457	459	3	research	research	NOUN
cana-1457	459	4	,	,	PUNCT
cana-1457	459	5	r	r	NOUN
cana-1457	459	6	-	-	PUNCT
cana-1457	459	7	squared	squared	ADJ
cana-1457	459	8	was	be	AUX
cana-1457	459	9	used	use	VERB
cana-1457	459	10	to	to	PART
cana-1457	459	11	measure	measure	VERB
cana-1457	459	12	how	how	SCONJ
cana-1457	459	13	well	well	ADV
cana-1457	459	14	the	the	DET
cana-1457	459	15	temperature	temperature	NOUN
cana-1457	459	16	,	,	PUNCT
cana-1457	459	17	humidity	humidity	NOUN
cana-1457	459	18	,	,	PUNCT
cana-1457	459	19	and	and	CCONJ
cana-1457	459	20	moisture	moisture	NOUN
cana-1457	459	21	features	feature	NOUN
cana-1457	459	22	explain	explain	VERB
cana-1457	459	23	the	the	DET
cana-1457	459	24	variance	variance	NOUN
cana-1457	459	25	in	in	ADP
cana-1457	459	26	the	the	DET
cana-1457	459	27	actual	actual	ADJ
cana-1457	459	28	moisture	moisture	NOUN
cana-1457	459	29	content	content	NOUN
cana-1457	459	30	.	.	PUNCT
cana-1457	460	1	5.3	5.3	NUM
cana-1457	460	2	model	model	NOUN
cana-1457	460	3	robustness	robustness	NOUN
cana-1457	460	4	and	and	CCONJ
cana-1457	460	5	generalization	generalization	NOUN
cana-1457	460	6	ensuring	ensure	VERB
cana-1457	460	7	that	that	SCONJ
cana-1457	460	8	the	the	DET
cana-1457	460	9	models	model	NOUN
cana-1457	460	10	generalize	generalize	VERB
cana-1457	460	11	well	well	ADV
cana-1457	460	12	to	to	ADP
cana-1457	460	13	different	different	ADJ
cana-1457	460	14	environmental	environmental	ADJ
cana-1457	460	15	conditions	condition	NOUN
cana-1457	460	16	is	be	AUX
cana-1457	460	17	essential	essential	ADJ
cana-1457	460	18	for	for	ADP
cana-1457	460	19	the	the	DET
cana-1457	460	20	practical	practical	ADJ
cana-1457	460	21	application	application	NOUN
cana-1457	460	22	of	of	ADP
cana-1457	460	23	this	this	DET
cana-1457	460	24	system	system	NOUN
cana-1457	460	25	.	.	PUNCT
cana-1457	461	1	to	to	PART
cana-1457	461	2	evaluate	evaluate	VERB
cana-1457	461	3	the	the	DET
cana-1457	461	4	robustness	robustness	NOUN
cana-1457	461	5	of	of	ADP
cana-1457	461	6	the	the	DET
cana-1457	461	7	models	model	NOUN
cana-1457	461	8	,	,	PUNCT
cana-1457	461	9	we	we	PRON
cana-1457	461	10	tested	test	VERB
cana-1457	461	11	them	they	PRON
cana-1457	461	12	on	on	ADP
cana-1457	461	13	datasets	dataset	NOUN
cana-1457	461	14	collected	collect	VERB
cana-1457	461	15	under	under	ADP
cana-1457	461	16	various	various	ADJ
cana-1457	461	17	environmental	environmental	ADJ
cana-1457	461	18	conditions	condition	NOUN
cana-1457	461	19	.	.	PUNCT
cana-1457	462	1	this	this	PRON
cana-1457	462	2	is	be	AUX
cana-1457	462	3	crucial	crucial	ADJ
cana-1457	462	4	in	in	ADP
cana-1457	462	5	tea	tea	NOUN
cana-1457	462	6	processing	processing	NOUN
cana-1457	462	7	,	,	PUNCT
cana-1457	462	8	as	as	SCONJ
cana-1457	462	9	temperature	temperature	NOUN
cana-1457	462	10	and	and	CCONJ
cana-1457	462	11	humidity	humidity	NOUN
cana-1457	462	12	fluctuations	fluctuation	NOUN
cana-1457	462	13	can	can	AUX
cana-1457	462	14	significantly	significantly	ADV
cana-1457	462	15	impact	impact	VERB
cana-1457	462	16	moisture	moisture	NOUN
cana-1457	462	17	content	content	NOUN
cana-1457	462	18	.	.	PUNCT
cana-1457	463	1	to	to	PART
cana-1457	463	2	assess	assess	VERB
cana-1457	463	3	the	the	DET
cana-1457	463	4	robustness	robustness	NOUN
cana-1457	463	5	of	of	ADP
cana-1457	463	6	the	the	DET
cana-1457	463	7	models	model	NOUN
cana-1457	463	8	,	,	PUNCT
cana-1457	463	9	we	we	PRON
cana-1457	463	10	introduced	introduce	VERB
cana-1457	463	11	artificial	artificial	ADJ
cana-1457	463	12	variability	variability	NOUN
cana-1457	463	13	in	in	ADP
cana-1457	463	14	the	the	DET
cana-1457	463	15	environmental	environmental	ADJ
cana-1457	463	16	conditions	condition	NOUN
cana-1457	463	17	and	and	CCONJ
cana-1457	463	18	tested	test	VERB
cana-1457	463	19	the	the	DET
cana-1457	463	20	performance	performance	NOUN
cana-1457	463	21	of	of	ADP
cana-1457	463	22	the	the	DET
cana-1457	463	23	models	model	NOUN
cana-1457	463	24	under	under	ADP
cana-1457	463	25	these	these	DET
cana-1457	463	26	conditions	condition	NOUN
cana-1457	463	27	.	.	PUNCT
cana-1457	464	1	communications	communication	NOUN
cana-1457	464	2	on	on	ADP
cana-1457	464	3	applied	apply	VERB
cana-1457	464	4	nonlinear	nonlinear	ADJ
cana-1457	464	5	analysis	analysis	NOUN
cana-1457	464	6	issn	issn	NOUN
cana-1457	464	7	:	:	PUNCT
cana-1457	464	8	1074	1074	NUM
cana-1457	464	9	-	-	PUNCT
cana-1457	464	10	133x	133x	NUM
cana-1457	464	11	vol	vol	NOUN
cana-1457	464	12	31	31	NUM
cana-1457	464	13	no	no	NOUN
cana-1457	464	14	.	.	PUNCT
cana-1457	465	1	8s	8s	PROPN
cana-1457	465	2	(	(	PUNCT
cana-1457	465	3	2024	2024	NUM
cana-1457	465	4	)	)	PUNCT
cana-1457	465	5	78	78	NUM
cana-1457	465	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	465	7	we	we	PRON
cana-1457	465	8	created	create	VERB
cana-1457	465	9	synthetic	synthetic	ADJ
cana-1457	465	10	datasets	dataset	NOUN
cana-1457	465	11	by	by	ADP
cana-1457	465	12	perturbing	perturb	VERB
cana-1457	465	13	the	the	DET
cana-1457	465	14	temperature	temperature	NOUN
cana-1457	465	15	and	and	CCONJ
cana-1457	465	16	humidity	humidity	NOUN
cana-1457	465	17	features	feature	NOUN
cana-1457	465	18	using	use	VERB
cana-1457	465	19	a	a	DET
cana-1457	465	20	gaussian	gaussian	ADJ
cana-1457	465	21	noise	noise	NOUN
cana-1457	465	22	model	model	NOUN
cana-1457	465	23	:	:	PUNCT
cana-1457	465	24	tperturbed(t	tperturbed(t	ADJ
cana-1457	465	25	)	)	PUNCT
cana-1457	465	26	=	=	SYM
cana-1457	465	27	t(t	t(t	NOUN
cana-1457	465	28	)	)	PUNCT
cana-1457	466	1	+	+	CCONJ
cana-1457	466	2	n(0	n(0	PROPN
cana-1457	466	3	,	,	PUNCT
cana-1457	466	4	σt	σt	NOUN
cana-1457	466	5	)	)	PUNCT
cana-1457	466	6	hperturbed(t	hperturbed(t	NOUN
cana-1457	466	7	)	)	PUNCT
cana-1457	466	8	=	=	SYM
cana-1457	466	9	h(t	h(t	X
cana-1457	466	10	)	)	PUNCT
cana-1457	467	1	+	+	CCONJ
cana-1457	467	2	n(0	n(0	PROPN
cana-1457	467	3	,	,	PUNCT
cana-1457	467	4	σh	σh	PROPN
cana-1457	467	5	)	)	PUNCT
cana-1457	467	6	where	where	SCONJ
cana-1457	467	7	:	:	PUNCT
cana-1457	467	8	•	•	NUM
cana-1457	467	9	n(0	n(0	PROPN
cana-1457	467	10	,	,	PUNCT
cana-1457	467	11	σt	σt	NOUN
cana-1457	467	12	)	)	PUNCT
cana-1457	467	13	and	and	CCONJ
cana-1457	467	14	n(0	n(0	PROPN
cana-1457	467	15	,	,	PUNCT
cana-1457	467	16	σh	σh	PROPN
cana-1457	467	17	)	)	PUNCT
cana-1457	467	18	represent	represent	VERB
cana-1457	467	19	gaussian	gaussian	ADJ
cana-1457	467	20	noise	noise	NOUN
cana-1457	467	21	added	add	VERB
cana-1457	467	22	to	to	ADP
cana-1457	467	23	the	the	DET
cana-1457	467	24	temperature	temperature	NOUN
cana-1457	467	25	and	and	CCONJ
cana-1457	467	26	humidity	humidity	NOUN
cana-1457	467	27	features	feature	NOUN
cana-1457	467	28	,	,	PUNCT
cana-1457	467	29	with	with	ADP
cana-1457	467	30	standard	standard	ADJ
cana-1457	467	31	deviations	deviation	NOUN
cana-1457	467	32	σt	σt	ADP
cana-1457	467	33	and	and	CCONJ
cana-1457	467	34	σh	σh	NOUN
cana-1457	467	35	,	,	PUNCT
cana-1457	467	36	respectively	respectively	ADV
cana-1457	467	37	.	.	PUNCT
cana-1457	468	1	this	this	DET
cana-1457	468	2	perturbation	perturbation	NOUN
cana-1457	468	3	simulates	simulate	VERB
cana-1457	468	4	real	real	ADJ
cana-1457	468	5	-	-	PUNCT
cana-1457	468	6	world	world	NOUN
cana-1457	468	7	scenarios	scenario	NOUN
cana-1457	468	8	where	where	SCONJ
cana-1457	468	9	environmental	environmental	ADJ
cana-1457	468	10	conditions	condition	NOUN
cana-1457	468	11	fluctuate	fluctuate	NOUN
cana-1457	468	12	and	and	CCONJ
cana-1457	468	13	allows	allow	VERB
cana-1457	468	14	us	we	PRON
cana-1457	468	15	to	to	PART
cana-1457	468	16	test	test	VERB
cana-1457	468	17	how	how	SCONJ
cana-1457	468	18	well	well	ADV
cana-1457	468	19	the	the	DET
cana-1457	468	20	models	model	NOUN
cana-1457	468	21	adapt	adapt	VERB
cana-1457	468	22	to	to	ADP
cana-1457	468	23	such	such	ADJ
cana-1457	468	24	changes	change	NOUN
cana-1457	468	25	.	.	PUNCT
cana-1457	469	1	the	the	DET
cana-1457	469	2	evaluation	evaluation	NOUN
cana-1457	469	3	of	of	ADP
cana-1457	469	4	the	the	DET
cana-1457	469	5	perturbed	perturb	VERB
cana-1457	469	6	datasets	dataset	NOUN
cana-1457	469	7	showed	show	VERB
cana-1457	469	8	that	that	SCONJ
cana-1457	469	9	xgboost	xgboost	ADV
cana-1457	469	10	and	and	CCONJ
cana-1457	469	11	lightgbm	lightgbm	VERB
cana-1457	469	12	retained	retain	VERB
cana-1457	469	13	high	high	ADJ
cana-1457	469	14	accuracy	accuracy	NOUN
cana-1457	469	15	,	,	PUNCT
cana-1457	469	16	with	with	ADP
cana-1457	469	17	only	only	ADV
cana-1457	469	18	a	a	DET
cana-1457	469	19	slight	slight	ADJ
cana-1457	469	20	increase	increase	NOUN
cana-1457	469	21	in	in	ADP
cana-1457	469	22	mae	mae	PROPN
cana-1457	469	23	and	and	CCONJ
cana-1457	469	24	rmse	rmse	PROPN
cana-1457	469	25	,	,	PUNCT
cana-1457	469	26	demonstrating	demonstrate	VERB
cana-1457	469	27	their	their	PRON
cana-1457	469	28	robustness	robustness	NOUN
cana-1457	469	29	to	to	ADP
cana-1457	469	30	environmental	environmental	ADJ
cana-1457	469	31	variability	variability	NOUN
cana-1457	469	32	.	.	PUNCT
cana-1457	470	1	5.4	5.4	NUM
cana-1457	470	2	model	model	NOUN
cana-1457	470	3	interpretability	interpretability	NOUN
cana-1457	470	4	in	in	ADP
cana-1457	470	5	addition	addition	NOUN
cana-1457	470	6	to	to	ADP
cana-1457	470	7	evaluating	evaluate	VERB
cana-1457	470	8	model	model	NOUN
cana-1457	470	9	performance	performance	NOUN
cana-1457	470	10	,	,	PUNCT
cana-1457	470	11	it	it	PRON
cana-1457	470	12	is	be	AUX
cana-1457	470	13	essential	essential	ADJ
cana-1457	470	14	to	to	PART
cana-1457	470	15	understand	understand	VERB
cana-1457	470	16	which	which	DET
cana-1457	470	17	features	feature	NOUN
cana-1457	470	18	contributed	contribute	VERB
cana-1457	470	19	most	most	ADJ
cana-1457	470	20	to	to	ADP
cana-1457	470	21	the	the	DET
cana-1457	470	22	model	model	NOUN
cana-1457	470	23	’s	’s	PART
cana-1457	470	24	predictions	prediction	NOUN
cana-1457	470	25	.	.	PUNCT
cana-1457	471	1	feature	feature	NOUN
cana-1457	471	2	importance	importance	NOUN
cana-1457	471	3	analysis	analysis	NOUN
cana-1457	471	4	was	be	AUX
cana-1457	471	5	conducted	conduct	VERB
cana-1457	471	6	using	use	VERB
cana-1457	471	7	shap	shap	PROPN
cana-1457	471	8	values	value	NOUN
cana-1457	471	9	(	(	PUNCT
cana-1457	471	10	shapley	shapley	ADJ
cana-1457	471	11	additive	additive	ADJ
cana-1457	471	12	explanations	explanation	NOUN
cana-1457	471	13	)	)	PUNCT
cana-1457	471	14	,	,	PUNCT
cana-1457	471	15	which	which	PRON
cana-1457	471	16	quantify	quantify	VERB
cana-1457	471	17	the	the	DET
cana-1457	471	18	contribution	contribution	NOUN
cana-1457	471	19	of	of	ADP
cana-1457	471	20	each	each	DET
cana-1457	471	21	feature	feature	NOUN
cana-1457	471	22	to	to	ADP
cana-1457	471	23	the	the	DET
cana-1457	471	24	model	model	NOUN
cana-1457	471	25	’s	’s	PART
cana-1457	471	26	output	output	NOUN
cana-1457	471	27	.	.	PUNCT
cana-1457	472	1	shap	shap	PROPN
cana-1457	472	2	values	value	NOUN
cana-1457	472	3	provide	provide	VERB
cana-1457	472	4	insight	insight	NOUN
cana-1457	472	5	into	into	ADP
cana-1457	472	6	how	how	SCONJ
cana-1457	472	7	changes	change	NOUN
cana-1457	472	8	in	in	ADP
cana-1457	472	9	temperature	temperature	NOUN
cana-1457	472	10	,	,	PUNCT
cana-1457	472	11	humidity	humidity	NOUN
cana-1457	472	12	,	,	PUNCT
cana-1457	472	13	and	and	CCONJ
cana-1457	472	14	moisture	moisture	NOUN
cana-1457	472	15	content	content	NOUN
cana-1457	472	16	affect	affect	VERB
cana-1457	472	17	the	the	DET
cana-1457	472	18	predicted	predict	VERB
cana-1457	472	19	moisture	moisture	NOUN
cana-1457	472	20	levels	level	NOUN
cana-1457	472	21	of	of	ADP
cana-1457	472	22	tea	tea	NOUN
cana-1457	472	23	leaves	leave	NOUN
cana-1457	472	24	.	.	PUNCT
cana-1457	473	1	the	the	DET
cana-1457	473	2	shap	shap	PROPN
cana-1457	473	3	values	value	NOUN
cana-1457	473	4	for	for	ADP
cana-1457	473	5	each	each	DET
cana-1457	473	6	feature	feature	NOUN
cana-1457	473	7	j	j	PROPN
cana-1457	473	8	are	be	AUX
cana-1457	473	9	calculated	calculate	VERB
cana-1457	473	10	as	as	ADP
cana-1457	473	11	:	:	PUNCT
cana-1457	473	12	shapj	shapj	NOUN
cana-1457	473	13	=	=	SYM
cana-1457	473	14	1	1	NUM
cana-1457	473	15	|s|	|s|	PROPN
cana-1457	473	16	∑	∑	PROPN
cana-1457	473	17	(	(	PUNCT
cana-1457	473	18	fs∪{j}(x	fs∪{j}(x	NOUN
cana-1457	473	19	)	)	PUNCT
cana-1457	473	20	−	−	NOUN
cana-1457	473	21	fs(x	fs(x	NOUN
cana-1457	473	22	)	)	PUNCT
cana-1457	473	23	)	)	PUNCT
cana-1457	474	1	s⊆f∖{j	s⊆f∖{j	NOUN
cana-1457	474	2	}	}	PUNCT
cana-1457	474	3	where	where	SCONJ
cana-1457	474	4	:	:	PUNCT
cana-1457	474	5	•	•	X
cana-1457	474	6	ss	ss	NOUN
cana-1457	474	7	represents	represent	VERB
cana-1457	474	8	a	a	DET
cana-1457	474	9	subset	subset	NOUN
cana-1457	474	10	of	of	ADP
cana-1457	474	11	features	feature	NOUN
cana-1457	474	12	,	,	PUNCT
cana-1457	474	13	•	•	NUM
cana-1457	474	14	fs(x	fs(x	NOUN
cana-1457	474	15	)	)	PUNCT
cana-1457	474	16	is	be	AUX
cana-1457	474	17	the	the	DET
cana-1457	474	18	model	model	NOUN
cana-1457	474	19	’s	’s	PART
cana-1457	474	20	output	output	NOUN
cana-1457	474	21	when	when	SCONJ
cana-1457	474	22	using	use	VERB
cana-1457	474	23	feature	feature	NOUN
cana-1457	474	24	set	set	VERB
cana-1457	474	25	ss	ss	PROPN
cana-1457	474	26	,	,	PUNCT
cana-1457	474	27	•	•	PRON
cana-1457	474	28	j	j	PROPN
cana-1457	474	29	represents	represent	VERB
cana-1457	474	30	the	the	DET
cana-1457	474	31	specific	specific	ADJ
cana-1457	474	32	feature	feature	NOUN
cana-1457	474	33	whose	whose	DET
cana-1457	474	34	importance	importance	NOUN
cana-1457	474	35	is	be	AUX
cana-1457	474	36	being	be	AUX
cana-1457	474	37	calculated	calculate	VERB
cana-1457	474	38	.	.	PUNCT
cana-1457	475	1	feature	feature	NOUN
cana-1457	475	2	importance	importance	NOUN
cana-1457	475	3	analysis	analysis	NOUN
cana-1457	475	4	showed	show	VERB
cana-1457	475	5	that	that	SCONJ
cana-1457	475	6	humidity	humidity	NOUN
cana-1457	475	7	and	and	CCONJ
cana-1457	475	8	moisture	moisture	NOUN
cana-1457	475	9	content	content	NOUN
cana-1457	475	10	were	be	AUX
cana-1457	475	11	the	the	DET
cana-1457	475	12	most	most	ADV
cana-1457	475	13	significant	significant	ADJ
cana-1457	475	14	predictors	predictor	NOUN
cana-1457	475	15	,	,	PUNCT
cana-1457	475	16	followed	follow	VERB
cana-1457	475	17	closely	closely	ADV
cana-1457	475	18	by	by	ADP
cana-1457	475	19	temperature	temperature	NOUN
cana-1457	475	20	.	.	PUNCT
cana-1457	476	1	this	this	DET
cana-1457	476	2	information	information	NOUN
cana-1457	476	3	is	be	AUX
cana-1457	476	4	valuable	valuable	ADJ
cana-1457	476	5	for	for	ADP
cana-1457	476	6	tea	tea	NOUN
cana-1457	476	7	producers	producer	NOUN
cana-1457	476	8	,	,	PUNCT
cana-1457	476	9	as	as	SCONJ
cana-1457	476	10	it	it	PRON
cana-1457	476	11	highlights	highlight	NOUN
cana-1457	476	12	which	which	DET
cana-1457	476	13	factors	factor	NOUN
cana-1457	476	14	have	have	VERB
cana-1457	476	15	the	the	DET
cana-1457	476	16	most	most	ADJ
cana-1457	476	17	influence	influence	NOUN
cana-1457	476	18	on	on	ADP
cana-1457	476	19	the	the	DET
cana-1457	476	20	withering	wither	VERB
cana-1457	476	21	process	process	NOUN
cana-1457	476	22	and	and	CCONJ
cana-1457	476	23	moisture	moisture	NOUN
cana-1457	476	24	content	content	NOUN
cana-1457	476	25	optimization	optimization	NOUN
cana-1457	476	26	.	.	PUNCT
cana-1457	477	1	5	5	X
cana-1457	477	2	.	.	X
cana-1457	477	3	results	result	VERB
cana-1457	477	4	the	the	DET
cana-1457	477	5	integration	integration	NOUN
cana-1457	477	6	of	of	ADP
cana-1457	477	7	iot	iot	NOUN
cana-1457	477	8	and	and	CCONJ
cana-1457	477	9	machine	machine	NOUN
cana-1457	477	10	learning	learn	VERB
cana-1457	477	11	into	into	ADP
cana-1457	477	12	the	the	DET
cana-1457	477	13	tea	tea	NOUN
cana-1457	477	14	withering	wither	VERB
cana-1457	477	15	process	process	NOUN
cana-1457	477	16	has	have	AUX
cana-1457	477	17	produced	produce	VERB
cana-1457	477	18	significant	significant	ADJ
cana-1457	477	19	advancements	advancement	NOUN
cana-1457	477	20	in	in	ADP
cana-1457	477	21	monitoring	monitoring	NOUN
cana-1457	477	22	,	,	PUNCT
cana-1457	477	23	predicting	predict	VERB
cana-1457	477	24	,	,	PUNCT
cana-1457	477	25	and	and	CCONJ
cana-1457	477	26	controlling	control	VERB
cana-1457	477	27	environmental	environmental	ADJ
cana-1457	477	28	factors	factor	NOUN
cana-1457	477	29	that	that	PRON
cana-1457	477	30	influence	influence	VERB
cana-1457	477	31	tea	tea	NOUN
cana-1457	477	32	quality	quality	NOUN
cana-1457	477	33	.	.	PUNCT
cana-1457	478	1	this	this	DET
cana-1457	478	2	section	section	NOUN
cana-1457	478	3	presents	present	VERB
cana-1457	478	4	the	the	DET
cana-1457	478	5	results	result	NOUN
cana-1457	478	6	of	of	ADP
cana-1457	478	7	system	system	NOUN
cana-1457	478	8	's	's	PART
cana-1457	478	9	performance	performance	NOUN
cana-1457	478	10	,	,	PUNCT
cana-1457	478	11	focusing	focus	VERB
cana-1457	478	12	on	on	ADP
cana-1457	478	13	both	both	CCONJ
cana-1457	478	14	the	the	DET
cana-1457	478	15	machine	machine	NOUN
cana-1457	478	16	learning	learning	NOUN
cana-1457	478	17	models	model	NOUN
cana-1457	478	18	xgboost	xgboost	ADV
cana-1457	478	19	and	and	CCONJ
cana-1457	478	20	lightgbm	lightgbm	ADJ
cana-1457	478	21	and	and	CCONJ
cana-1457	478	22	the	the	DET
cana-1457	478	23	thingspeak	thingspeak	NOUN
cana-1457	478	24	iot	iot	PROPN
cana-1457	478	25	dashboard	dashboard	NOUN
cana-1457	478	26	,	,	PUNCT
cana-1457	478	27	which	which	PRON
cana-1457	478	28	facilitated	facilitate	VERB
cana-1457	478	29	real	real	ADJ
cana-1457	478	30	time	time	NOUN
cana-1457	478	31	monitoring	monitoring	NOUN
cana-1457	478	32	.	.	PUNCT
cana-1457	479	1	the	the	DET
cana-1457	479	2	accuracy	accuracy	NOUN
cana-1457	479	3	of	of	ADP
cana-1457	479	4	the	the	DET
cana-1457	479	5	predictions	prediction	NOUN
cana-1457	479	6	,	,	PUNCT
cana-1457	479	7	the	the	DET
cana-1457	479	8	real	real	ADJ
cana-1457	479	9	world	world	NOUN
cana-1457	479	10	benefits	benefit	NOUN
cana-1457	479	11	for	for	ADP
cana-1457	479	12	tea	tea	NOUN
cana-1457	479	13	producers	producer	NOUN
cana-1457	479	14	,	,	PUNCT
cana-1457	479	15	the	the	DET
cana-1457	479	16	system	system	NOUN
cana-1457	479	17	's	's	PART
cana-1457	479	18	robustness	robustness	NOUN
cana-1457	479	19	,	,	PUNCT
cana-1457	479	20	and	and	CCONJ
cana-1457	479	21	areas	area	NOUN
cana-1457	479	22	for	for	ADP
cana-1457	479	23	future	future	ADJ
cana-1457	479	24	improvement	improvement	NOUN
cana-1457	479	25	are	be	AUX
cana-1457	479	26	discussed	discuss	VERB
cana-1457	479	27	in	in	ADP
cana-1457	479	28	detail	detail	NOUN
cana-1457	479	29	.	.	PUNCT
cana-1457	480	1	through	through	ADP
cana-1457	480	2	this	this	DET
cana-1457	480	3	combination	combination	NOUN
cana-1457	480	4	of	of	ADP
cana-1457	480	5	advanced	advanced	ADJ
cana-1457	480	6	predictive	predictive	ADJ
cana-1457	480	7	modelling	modelling	NOUN
cana-1457	480	8	and	and	CCONJ
cana-1457	480	9	iot	iot	NOUN
cana-1457	480	10	-	-	PUNCT
cana-1457	480	11	based	base	VERB
cana-1457	480	12	real	real	ADJ
cana-1457	480	13	-	-	PUNCT
cana-1457	480	14	time	time	NOUN
cana-1457	480	15	monitoring	monitoring	NOUN
cana-1457	480	16	,	,	PUNCT
cana-1457	480	17	the	the	DET
cana-1457	480	18	study	study	NOUN
cana-1457	480	19	provides	provide	VERB
cana-1457	480	20	critical	critical	ADJ
cana-1457	480	21	insights	insight	NOUN
cana-1457	480	22	into	into	ADP
cana-1457	480	23	the	the	DET
cana-1457	480	24	potential	potential	NOUN
cana-1457	480	25	of	of	ADP
cana-1457	480	26	technology	technology	NOUN
cana-1457	480	27	to	to	PART
cana-1457	480	28	enhance	enhance	VERB
cana-1457	480	29	traditional	traditional	ADJ
cana-1457	480	30	agricultural	agricultural	ADJ
cana-1457	480	31	practices	practice	NOUN
cana-1457	480	32	.	.	PUNCT
cana-1457	481	1	5.1	5.1	NUM
cana-1457	481	2	performance	performance	NOUN
cana-1457	481	3	of	of	ADP
cana-1457	481	4	machine	machine	NOUN
cana-1457	481	5	learning	learning	NOUN
cana-1457	481	6	models	model	VERB
cana-1457	481	7	the	the	DET
cana-1457	481	8	key	key	ADJ
cana-1457	481	9	objective	objective	NOUN
cana-1457	481	10	of	of	ADP
cana-1457	481	11	the	the	DET
cana-1457	481	12	research	research	NOUN
cana-1457	481	13	was	be	AUX
cana-1457	481	14	to	to	PART
cana-1457	481	15	predict	predict	VERB
cana-1457	481	16	the	the	DET
cana-1457	481	17	moisture	moisture	NOUN
cana-1457	481	18	content	content	NOUN
cana-1457	481	19	of	of	ADP
cana-1457	481	20	tea	tea	NOUN
cana-1457	481	21	leaves	leave	NOUN
cana-1457	481	22	based	base	VERB
cana-1457	481	23	on	on	ADP
cana-1457	481	24	environmental	environmental	ADJ
cana-1457	481	25	data	datum	NOUN
cana-1457	481	26	such	such	ADJ
cana-1457	481	27	as	as	ADP
cana-1457	481	28	temperature	temperature	NOUN
cana-1457	481	29	and	and	CCONJ
cana-1457	481	30	humidity	humidity	NOUN
cana-1457	481	31	.	.	PUNCT
cana-1457	482	1	accurate	accurate	ADJ
cana-1457	482	2	prediction	prediction	NOUN
cana-1457	482	3	of	of	ADP
cana-1457	482	4	moisture	moisture	NOUN
cana-1457	482	5	content	content	NOUN
cana-1457	482	6	is	be	AUX
cana-1457	482	7	communications	communication	NOUN
cana-1457	482	8	on	on	ADP
cana-1457	482	9	applied	apply	VERB
cana-1457	482	10	nonlinear	nonlinear	ADJ
cana-1457	482	11	analysis	analysis	NOUN
cana-1457	482	12	issn	issn	NOUN
cana-1457	482	13	:	:	PUNCT
cana-1457	482	14	1074	1074	NUM
cana-1457	482	15	-	-	PUNCT
cana-1457	482	16	133x	133x	NUM
cana-1457	482	17	vol	vol	NOUN
cana-1457	482	18	31	31	NUM
cana-1457	482	19	no	no	NOUN
cana-1457	482	20	.	.	PUNCT
cana-1457	483	1	8s	8s	PROPN
cana-1457	483	2	(	(	PUNCT
cana-1457	483	3	2024	2024	NUM
cana-1457	483	4	)	)	PUNCT
cana-1457	483	5	79	79	NUM
cana-1457	483	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	483	7	essential	essential	ADJ
cana-1457	483	8	for	for	ADP
cana-1457	483	9	optimizing	optimize	VERB
cana-1457	483	10	the	the	DET
cana-1457	483	11	withering	wither	VERB
cana-1457	483	12	process	process	NOUN
cana-1457	483	13	,	,	PUNCT
cana-1457	483	14	as	as	SCONJ
cana-1457	483	15	it	it	PRON
cana-1457	483	16	directly	directly	ADV
cana-1457	483	17	affects	affect	VERB
cana-1457	483	18	the	the	DET
cana-1457	483	19	flavor	flavor	NOUN
cana-1457	483	20	and	and	CCONJ
cana-1457	483	21	quality	quality	NOUN
cana-1457	483	22	of	of	ADP
cana-1457	483	23	the	the	DET
cana-1457	483	24	tea	tea	NOUN
cana-1457	483	25	.	.	PUNCT
cana-1457	484	1	the	the	DET
cana-1457	484	2	two	two	NUM
cana-1457	484	3	machine	machine	NOUN
cana-1457	484	4	learning	learning	NOUN
cana-1457	484	5	models	model	NOUN
cana-1457	484	6	,	,	PUNCT
cana-1457	484	7	xgboost	xgboost	ADV
cana-1457	484	8	and	and	CCONJ
cana-1457	484	9	lightgbm	lightgbm	ADJ
cana-1457	484	10	,	,	PUNCT
cana-1457	484	11	were	be	AUX
cana-1457	484	12	employed	employ	VERB
cana-1457	484	13	to	to	PART
cana-1457	484	14	achieve	achieve	VERB
cana-1457	484	15	this	this	DET
cana-1457	484	16	task	task	NOUN
cana-1457	484	17	,	,	PUNCT
cana-1457	484	18	and	and	CCONJ
cana-1457	484	19	their	their	PRON
cana-1457	484	20	performance	performance	NOUN
cana-1457	484	21	was	be	AUX
cana-1457	484	22	evaluated	evaluate	VERB
cana-1457	484	23	using	use	VERB
cana-1457	484	24	three	three	NUM
cana-1457	484	25	key	key	ADJ
cana-1457	484	26	metrics	metric	NOUN
cana-1457	484	27	:	:	PUNCT
cana-1457	484	28	mean	mean	VERB
cana-1457	484	29	absolute	absolute	ADJ
cana-1457	484	30	error	error	NOUN
cana-1457	484	31	(	(	PUNCT
cana-1457	484	32	mae	mae	PROPN
cana-1457	484	33	)	)	PUNCT
cana-1457	484	34	,	,	PUNCT
cana-1457	484	35	root	root	NOUN
cana-1457	484	36	mean	mean	VERB
cana-1457	484	37	squared	square	VERB
cana-1457	484	38	error	error	NOUN
cana-1457	484	39	(	(	PUNCT
cana-1457	484	40	rmse	rmse	NOUN
cana-1457	484	41	)	)	PUNCT
cana-1457	484	42	,	,	PUNCT
cana-1457	484	43	and	and	CCONJ
cana-1457	484	44	r	r	X
cana-1457	484	45	-	-	PUNCT
cana-1457	484	46	squared	square	VERB
cana-1457	484	47	(	(	PUNCT
cana-1457	484	48	r²	r²	NOUN
cana-1457	484	49	)	)	PUNCT
cana-1457	484	50	.	.	PUNCT
cana-1457	485	1	the	the	DET
cana-1457	485	2	results	result	NOUN
cana-1457	485	3	showed	show	VERB
cana-1457	485	4	that	that	SCONJ
cana-1457	485	5	both	both	CCONJ
cana-1457	485	6	xgboost	xgboost	ADV
cana-1457	485	7	and	and	CCONJ
cana-1457	485	8	lightgbm	lightgbm	NOUN
cana-1457	485	9	were	be	AUX
cana-1457	485	10	highly	highly	ADV
cana-1457	485	11	effective	effective	ADJ
cana-1457	485	12	in	in	ADP
cana-1457	485	13	predicting	predict	VERB
cana-1457	485	14	moisture	moisture	NOUN
cana-1457	485	15	content	content	NOUN
cana-1457	485	16	.	.	PUNCT
cana-1457	486	1	the	the	DET
cana-1457	486	2	mean	mean	ADJ
cana-1457	486	3	absolute	absolute	ADJ
cana-1457	486	4	error	error	NOUN
cana-1457	486	5	(	(	PUNCT
cana-1457	486	6	mae	mae	PROPN
cana-1457	486	7	)	)	PUNCT
cana-1457	486	8	for	for	ADP
cana-1457	486	9	xgboost	xgboost	ADV
cana-1457	486	10	was	be	AUX
cana-1457	486	11	found	find	VERB
cana-1457	486	12	to	to	PART
cana-1457	486	13	be	be	AUX
cana-1457	486	14	0.99	0.99	NUM
cana-1457	486	15	,	,	PUNCT
cana-1457	486	16	while	while	SCONJ
cana-1457	486	17	lightgbm	lightgbm	ADJ
cana-1457	486	18	yielded	yield	VERB
cana-1457	486	19	an	an	DET
cana-1457	486	20	mae	mae	PROPN
cana-1457	486	21	of	of	ADP
cana-1457	486	22	1.01	1.01	NUM
cana-1457	486	23	.	.	PUNCT
cana-1457	487	1	the	the	DET
cana-1457	487	2	small	small	ADJ
cana-1457	487	3	difference	difference	NOUN
cana-1457	487	4	between	between	ADP
cana-1457	487	5	the	the	DET
cana-1457	487	6	two	two	NUM
cana-1457	487	7	models	model	NOUN
cana-1457	487	8	shows	show	VERB
cana-1457	487	9	that	that	SCONJ
cana-1457	487	10	both	both	PRON
cana-1457	487	11	can	can	AUX
cana-1457	487	12	deliver	deliver	VERB
cana-1457	487	13	highly	highly	ADV
cana-1457	487	14	accurate	accurate	ADJ
cana-1457	487	15	predictions	prediction	NOUN
cana-1457	487	16	with	with	ADP
cana-1457	487	17	minimal	minimal	ADJ
cana-1457	487	18	deviation	deviation	NOUN
cana-1457	487	19	from	from	ADP
cana-1457	487	20	the	the	DET
cana-1457	487	21	actual	actual	ADJ
cana-1457	487	22	moisture	moisture	NOUN
cana-1457	487	23	content	content	NOUN
cana-1457	487	24	.	.	PUNCT
cana-1457	488	1	the	the	DET
cana-1457	488	2	low	low	ADJ
cana-1457	488	3	mae	mae	PROPN
cana-1457	488	4	demonstrates	demonstrate	VERB
cana-1457	488	5	that	that	SCONJ
cana-1457	488	6	the	the	DET
cana-1457	488	7	models	model	NOUN
cana-1457	488	8	consistently	consistently	ADV
cana-1457	488	9	produce	produce	VERB
cana-1457	488	10	predictions	prediction	NOUN
cana-1457	488	11	that	that	PRON
cana-1457	488	12	are	be	AUX
cana-1457	488	13	close	close	ADJ
cana-1457	488	14	to	to	ADP
cana-1457	488	15	the	the	DET
cana-1457	488	16	true	true	ADJ
cana-1457	488	17	values	value	NOUN
cana-1457	488	18	,	,	PUNCT
cana-1457	488	19	which	which	PRON
cana-1457	488	20	is	be	AUX
cana-1457	488	21	crucial	crucial	ADJ
cana-1457	488	22	for	for	ADP
cana-1457	488	23	maintaining	maintain	VERB
cana-1457	488	24	optimal	optimal	ADJ
cana-1457	488	25	moisture	moisture	NOUN
cana-1457	488	26	levels	level	NOUN
cana-1457	488	27	during	during	ADP
cana-1457	488	28	the	the	DET
cana-1457	488	29	withering	wither	VERB
cana-1457	488	30	process	process	NOUN
cana-1457	488	31	.	.	PUNCT
cana-1457	489	1	in	in	ADP
cana-1457	489	2	terms	term	NOUN
cana-1457	489	3	of	of	ADP
cana-1457	489	4	root	root	NOUN
cana-1457	489	5	mean	mean	VERB
cana-1457	489	6	squared	square	VERB
cana-1457	489	7	error	error	NOUN
cana-1457	489	8	(	(	PUNCT
cana-1457	489	9	rmse	rmse	NOUN
cana-1457	489	10	)	)	PUNCT
cana-1457	489	11	,	,	PUNCT
cana-1457	489	12	xgboost	xgboost	PROPN
cana-1457	489	13	achieved	achieve	VERB
cana-1457	489	14	an	an	DET
cana-1457	489	15	rmse	rmse	NOUN
cana-1457	489	16	of	of	ADP
cana-1457	489	17	1.15	1.15	NUM
cana-1457	489	18	,	,	PUNCT
cana-1457	489	19	while	while	SCONJ
cana-1457	489	20	lightgbm	lightgbm	NOUN
cana-1457	489	21	produced	produce	VERB
cana-1457	489	22	an	an	DET
cana-1457	489	23	rmse	rmse	NOUN
cana-1457	489	24	of	of	ADP
cana-1457	489	25	1.20	1.20	NUM
cana-1457	489	26	.	.	PUNCT
cana-1457	490	1	rmse	rmse	PROPN
cana-1457	490	2	places	place	VERB
cana-1457	490	3	greater	great	ADJ
cana-1457	490	4	emphasis	emphasis	NOUN
cana-1457	490	5	on	on	ADP
cana-1457	490	6	larger	large	ADJ
cana-1457	490	7	errors	error	NOUN
cana-1457	490	8	,	,	PUNCT
cana-1457	490	9	and	and	CCONJ
cana-1457	490	10	the	the	DET
cana-1457	490	11	slightly	slightly	ADV
cana-1457	490	12	higher	high	ADJ
cana-1457	490	13	rmse	rmse	NOUN
cana-1457	490	14	values	value	NOUN
cana-1457	490	15	compared	compare	VERB
cana-1457	490	16	to	to	ADP
cana-1457	490	17	mae	mae	PROPN
cana-1457	490	18	suggest	suggest	VERB
cana-1457	490	19	that	that	SCONJ
cana-1457	490	20	while	while	SCONJ
cana-1457	490	21	the	the	DET
cana-1457	490	22	models	model	NOUN
cana-1457	490	23	perform	perform	VERB
cana-1457	490	24	well	well	ADV
cana-1457	490	25	on	on	ADP
cana-1457	490	26	average	average	ADJ
cana-1457	490	27	,	,	PUNCT
cana-1457	490	28	there	there	PRON
cana-1457	490	29	are	be	VERB
cana-1457	490	30	occasional	occasional	ADJ
cana-1457	490	31	instances	instance	NOUN
cana-1457	490	32	where	where	SCONJ
cana-1457	490	33	the	the	DET
cana-1457	490	34	prediction	prediction	NOUN
cana-1457	490	35	errors	error	NOUN
cana-1457	490	36	are	be	AUX
cana-1457	490	37	larger	large	ADJ
cana-1457	490	38	.	.	PUNCT
cana-1457	491	1	this	this	DET
cana-1457	491	2	sensitivity	sensitivity	NOUN
cana-1457	491	3	to	to	ADP
cana-1457	491	4	outliers	outlier	NOUN
cana-1457	491	5	is	be	AUX
cana-1457	491	6	typical	typical	ADJ
cana-1457	491	7	of	of	ADP
cana-1457	491	8	rmse	rmse	NOUN
cana-1457	491	9	,	,	PUNCT
cana-1457	491	10	which	which	PRON
cana-1457	491	11	penalizes	penalize	VERB
cana-1457	491	12	larger	large	ADJ
cana-1457	491	13	deviations	deviation	NOUN
cana-1457	491	14	more	more	ADV
cana-1457	491	15	heavily	heavily	ADV
cana-1457	491	16	than	than	ADP
cana-1457	491	17	mae	mae	PROPN
cana-1457	491	18	.	.	PUNCT
cana-1457	492	1	nevertheless	nevertheless	ADV
cana-1457	492	2	,	,	PUNCT
cana-1457	492	3	the	the	DET
cana-1457	492	4	errors	error	NOUN
cana-1457	492	5	remain	remain	VERB
cana-1457	492	6	within	within	ADP
cana-1457	492	7	a	a	DET
cana-1457	492	8	tolerable	tolerable	ADJ
cana-1457	492	9	range	range	NOUN
cana-1457	492	10	for	for	ADP
cana-1457	492	11	practical	practical	ADJ
cana-1457	492	12	application	application	NOUN
cana-1457	492	13	in	in	ADP
cana-1457	492	14	tea	tea	NOUN
cana-1457	492	15	processing	processing	NOUN
cana-1457	492	16	,	,	PUNCT
cana-1457	492	17	where	where	SCONJ
cana-1457	492	18	slight	slight	ADJ
cana-1457	492	19	deviations	deviation	NOUN
cana-1457	492	20	in	in	ADP
cana-1457	492	21	moisture	moisture	NOUN
cana-1457	492	22	content	content	NOUN
cana-1457	492	23	are	be	AUX
cana-1457	492	24	manageable	manageable	ADJ
cana-1457	492	25	without	without	ADP
cana-1457	492	26	significantly	significantly	ADV
cana-1457	492	27	impacting	impact	VERB
cana-1457	492	28	tea	tea	NOUN
cana-1457	492	29	quality	quality	NOUN
cana-1457	492	30	.	.	PUNCT
cana-1457	493	1	the	the	DET
cana-1457	493	2	r	r	NOUN
cana-1457	493	3	-	-	PUNCT
cana-1457	493	4	squared	square	VERB
cana-1457	493	5	(	(	PUNCT
cana-1457	493	6	r²	r²	NOUN
cana-1457	493	7	)	)	PUNCT
cana-1457	493	8	values	value	NOUN
cana-1457	493	9	for	for	ADP
cana-1457	493	10	both	both	DET
cana-1457	493	11	models	model	NOUN
cana-1457	493	12	were	be	AUX
cana-1457	493	13	also	also	ADV
cana-1457	493	14	high	high	ADJ
cana-1457	493	15	,	,	PUNCT
cana-1457	493	16	with	with	ADP
cana-1457	493	17	xgboost	xgboost	ADV
cana-1457	493	18	recording	record	VERB
cana-1457	493	19	an	an	DET
cana-1457	493	20	r²	r²	NOUN
cana-1457	493	21	of	of	ADP
cana-1457	493	22	0.92	0.92	NUM
cana-1457	493	23	and	and	CCONJ
cana-1457	493	24	lightgbm	lightgbm	ADJ
cana-1457	493	25	achieving	achieve	VERB
cana-1457	493	26	0.91	0.91	NUM
cana-1457	493	27	.	.	PUNCT
cana-1457	494	1	this	this	PRON
cana-1457	494	2	indicates	indicate	VERB
cana-1457	494	3	that	that	SCONJ
cana-1457	494	4	over	over	ADP
cana-1457	494	5	90	90	NUM
cana-1457	494	6	%	%	NOUN
cana-1457	494	7	of	of	ADP
cana-1457	494	8	the	the	DET
cana-1457	494	9	variance	variance	NOUN
cana-1457	494	10	in	in	ADP
cana-1457	494	11	the	the	DET
cana-1457	494	12	moisture	moisture	NOUN
cana-1457	494	13	content	content	NOUN
cana-1457	494	14	could	could	AUX
cana-1457	494	15	be	be	AUX
cana-1457	494	16	explained	explain	VERB
cana-1457	494	17	by	by	ADP
cana-1457	494	18	the	the	DET
cana-1457	494	19	models	model	NOUN
cana-1457	494	20	based	base	VERB
cana-1457	494	21	on	on	ADP
cana-1457	494	22	the	the	DET
cana-1457	494	23	temperature	temperature	NOUN
cana-1457	494	24	and	and	CCONJ
cana-1457	494	25	humidity	humidity	NOUN
cana-1457	494	26	data	datum	NOUN
cana-1457	494	27	.	.	PUNCT
cana-1457	495	1	the	the	DET
cana-1457	495	2	high	high	ADJ
cana-1457	495	3	r²	r²	NOUN
cana-1457	495	4	values	value	NOUN
cana-1457	495	5	suggest	suggest	VERB
cana-1457	495	6	that	that	SCONJ
cana-1457	495	7	both	both	DET
cana-1457	495	8	models	model	NOUN
cana-1457	495	9	successfully	successfully	ADV
cana-1457	495	10	capture	capture	VERB
cana-1457	495	11	the	the	DET
cana-1457	495	12	complex	complex	ADJ
cana-1457	495	13	relationships	relationship	NOUN
cana-1457	495	14	between	between	ADP
cana-1457	495	15	environmental	environmental	ADJ
cana-1457	495	16	conditions	condition	NOUN
cana-1457	495	17	and	and	CCONJ
cana-1457	495	18	moisture	moisture	NOUN
cana-1457	495	19	content	content	NOUN
cana-1457	495	20	,	,	PUNCT
cana-1457	495	21	validating	validate	VERB
cana-1457	495	22	their	their	PRON
cana-1457	495	23	use	use	NOUN
cana-1457	495	24	in	in	ADP
cana-1457	495	25	real	real	ADJ
cana-1457	495	26	-	-	PUNCT
cana-1457	495	27	world	world	NOUN
cana-1457	495	28	applications	application	NOUN
cana-1457	495	29	where	where	SCONJ
cana-1457	495	30	accurate	accurate	ADJ
cana-1457	495	31	modelling	modelling	NOUN
cana-1457	495	32	of	of	ADP
cana-1457	495	33	nonlinear	nonlinear	ADJ
cana-1457	495	34	interactions	interaction	NOUN
cana-1457	495	35	is	be	AUX
cana-1457	495	36	essential	essential	ADJ
cana-1457	495	37	.	.	PUNCT
cana-1457	496	1	xgboost	xgboost	X
cana-1457	496	2	’s	’s	PART
cana-1457	496	3	slightly	slightly	ADV
cana-1457	496	4	better	well	ADJ
cana-1457	496	5	performance	performance	NOUN
cana-1457	496	6	in	in	ADP
cana-1457	496	7	both	both	DET
cana-1457	496	8	mae	mae	PROPN
cana-1457	496	9	and	and	CCONJ
cana-1457	496	10	r²	r²	NOUN
cana-1457	496	11	suggests	suggest	VERB
cana-1457	496	12	that	that	SCONJ
cana-1457	496	13	its	its	PRON
cana-1457	496	14	advanced	advanced	ADJ
cana-1457	496	15	regularization	regularization	NOUN
cana-1457	496	16	techniques	technique	NOUN
cana-1457	496	17	such	such	ADJ
cana-1457	496	18	as	as	ADP
cana-1457	496	19	l1	l1	PROPN
cana-1457	496	20	and	and	CCONJ
cana-1457	496	21	l2	l2	NOUN
cana-1457	496	22	regularization	regularization	NOUN
cana-1457	496	23	helped	help	VERB
cana-1457	496	24	reduce	reduce	VERB
cana-1457	496	25	overfitting	overfitting	NOUN
cana-1457	496	26	,	,	PUNCT
cana-1457	496	27	making	make	VERB
cana-1457	496	28	it	it	PRON
cana-1457	496	29	more	more	ADV
cana-1457	496	30	robust	robust	ADJ
cana-1457	496	31	in	in	ADP
cana-1457	496	32	handling	handle	VERB
cana-1457	496	33	noisy	noisy	ADJ
cana-1457	496	34	sensor	sensor	NOUN
cana-1457	496	35	data	datum	NOUN
cana-1457	496	36	.	.	PUNCT
cana-1457	497	1	communications	communication	NOUN
cana-1457	497	2	on	on	ADP
cana-1457	497	3	applied	apply	VERB
cana-1457	497	4	nonlinear	nonlinear	ADJ
cana-1457	497	5	analysis	analysis	NOUN
cana-1457	497	6	issn	issn	NOUN
cana-1457	497	7	:	:	PUNCT
cana-1457	497	8	1074	1074	NUM
cana-1457	497	9	-	-	PUNCT
cana-1457	497	10	133x	133x	NUM
cana-1457	497	11	vol	vol	NOUN
cana-1457	497	12	31	31	NUM
cana-1457	497	13	no	no	NOUN
cana-1457	497	14	.	.	PUNCT
cana-1457	498	1	8s	8s	PROPN
cana-1457	498	2	(	(	PUNCT
cana-1457	498	3	2024	2024	NUM
cana-1457	498	4	)	)	PUNCT
cana-1457	498	5	80	80	NUM
cana-1457	498	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	498	7	the	the	DET
cana-1457	498	8	actual	actual	ADJ
cana-1457	498	9	vs.	vs.	NOUN
cana-1457	498	10	predicted	predict	VERB
cana-1457	498	11	moisture	moisture	NOUN
cana-1457	498	12	content	content	NOUN
cana-1457	498	13	scatter	scatter	NOUN
cana-1457	498	14	plot	plot	NOUN
cana-1457	498	15	(	(	PUNCT
cana-1457	498	16	figure	figure	NOUN
cana-1457	498	17	1	1	NUM
cana-1457	498	18	)	)	PUNCT
cana-1457	498	19	shows	show	VERB
cana-1457	498	20	the	the	DET
cana-1457	498	21	relationship	relationship	NOUN
cana-1457	498	22	between	between	ADP
cana-1457	498	23	the	the	DET
cana-1457	498	24	predicted	predict	VERB
cana-1457	498	25	and	and	CCONJ
cana-1457	498	26	actual	actual	ADJ
cana-1457	498	27	moisture	moisture	NOUN
cana-1457	498	28	values	value	NOUN
cana-1457	498	29	.	.	PUNCT
cana-1457	499	1	the	the	DET
cana-1457	499	2	red	red	ADJ
cana-1457	499	3	diagonal	diagonal	ADJ
cana-1457	499	4	line	line	NOUN
cana-1457	499	5	represents	represent	VERB
cana-1457	499	6	the	the	DET
cana-1457	499	7	perfect	perfect	ADJ
cana-1457	499	8	prediction	prediction	NOUN
cana-1457	499	9	line	line	NOUN
cana-1457	499	10	,	,	PUNCT
cana-1457	499	11	where	where	SCONJ
cana-1457	499	12	every	every	DET
cana-1457	499	13	prediction	prediction	NOUN
cana-1457	499	14	would	would	AUX
cana-1457	499	15	exactly	exactly	ADV
cana-1457	499	16	match	match	VERB
cana-1457	499	17	the	the	DET
cana-1457	499	18	actual	actual	ADJ
cana-1457	499	19	values	value	NOUN
cana-1457	499	20	.	.	PUNCT
cana-1457	500	1	in	in	ADP
cana-1457	500	2	this	this	DET
cana-1457	500	3	plot	plot	NOUN
cana-1457	500	4	,	,	PUNCT
cana-1457	500	5	the	the	DET
cana-1457	500	6	blue	blue	ADJ
cana-1457	500	7	points	point	NOUN
cana-1457	500	8	represent	represent	VERB
cana-1457	500	9	the	the	DET
cana-1457	500	10	predicted	predict	VERB
cana-1457	500	11	values	value	NOUN
cana-1457	500	12	from	from	ADP
cana-1457	500	13	the	the	DET
cana-1457	500	14	xgboost	xgboost	PROPN
cana-1457	500	15	model	model	NOUN
cana-1457	500	16	,	,	PUNCT
cana-1457	500	17	and	and	CCONJ
cana-1457	500	18	their	their	PRON
cana-1457	500	19	proximity	proximity	NOUN
cana-1457	500	20	to	to	ADP
cana-1457	500	21	the	the	DET
cana-1457	500	22	red	red	ADJ
cana-1457	500	23	line	line	NOUN
cana-1457	500	24	indicates	indicate	VERB
cana-1457	500	25	the	the	DET
cana-1457	500	26	model	model	NOUN
cana-1457	500	27	's	's	PART
cana-1457	500	28	accuracy	accuracy	NOUN
cana-1457	500	29	.	.	PUNCT
cana-1457	501	1	the	the	DET
cana-1457	501	2	model	model	NOUN
cana-1457	501	3	performs	perform	VERB
cana-1457	501	4	well	well	ADV
cana-1457	501	5	,	,	PUNCT
cana-1457	501	6	with	with	ADP
cana-1457	501	7	most	most	ADJ
cana-1457	501	8	points	point	NOUN
cana-1457	501	9	closely	closely	ADV
cana-1457	501	10	aligning	align	VERB
cana-1457	501	11	with	with	ADP
cana-1457	501	12	the	the	DET
cana-1457	501	13	red	red	ADJ
cana-1457	501	14	line	line	NOUN
cana-1457	501	15	.	.	PUNCT
cana-1457	502	1	however	however	ADV
cana-1457	502	2	,	,	PUNCT
cana-1457	502	3	some	some	DET
cana-1457	502	4	points	point	NOUN
cana-1457	502	5	deviate	deviate	VERB
cana-1457	502	6	,	,	PUNCT
cana-1457	502	7	indicating	indicate	VERB
cana-1457	502	8	small	small	ADJ
cana-1457	502	9	prediction	prediction	NOUN
cana-1457	502	10	errors	error	NOUN
cana-1457	502	11	.	.	PUNCT
cana-1457	503	1	this	this	PRON
cana-1457	503	2	supports	support	VERB
cana-1457	503	3	the	the	DET
cana-1457	503	4	mae	mae	PROPN
cana-1457	503	5	value	value	NOUN
cana-1457	503	6	of	of	ADP
cana-1457	503	7	0.99	0.99	NUM
cana-1457	503	8	,	,	PUNCT
cana-1457	503	9	showing	show	VERB
cana-1457	503	10	that	that	SCONJ
cana-1457	503	11	while	while	SCONJ
cana-1457	503	12	the	the	DET
cana-1457	503	13	model	model	NOUN
cana-1457	503	14	is	be	AUX
cana-1457	503	15	highly	highly	ADV
cana-1457	503	16	accurate	accurate	ADJ
cana-1457	503	17	,	,	PUNCT
cana-1457	503	18	there	there	PRON
cana-1457	503	19	are	be	VERB
cana-1457	503	20	occasional	occasional	ADJ
cana-1457	503	21	minor	minor	ADJ
cana-1457	503	22	errors	error	NOUN
cana-1457	503	23	.	.	PUNCT
cana-1457	504	1	the	the	DET
cana-1457	504	2	residual	residual	ADJ
cana-1457	504	3	plot	plot	NOUN
cana-1457	504	4	(	(	PUNCT
cana-1457	504	5	figure	figure	NOUN
cana-1457	504	6	2	2	NUM
cana-1457	504	7	)	)	PUNCT
cana-1457	504	8	visualizes	visualize	VERB
cana-1457	504	9	the	the	DET
cana-1457	504	10	errors	error	NOUN
cana-1457	504	11	between	between	ADP
cana-1457	504	12	the	the	DET
cana-1457	504	13	actual	actual	ADJ
cana-1457	504	14	and	and	CCONJ
cana-1457	504	15	predicted	predict	VERB
cana-1457	504	16	moisture	moisture	NOUN
cana-1457	504	17	content	content	NOUN
cana-1457	504	18	values	value	NOUN
cana-1457	504	19	.	.	PUNCT
cana-1457	505	1	the	the	DET
cana-1457	505	2	residuals	residual	NOUN
cana-1457	505	3	(	(	PUNCT
cana-1457	505	4	actual	actual	ADJ
cana-1457	505	5	minus	minus	CCONJ
cana-1457	505	6	predicted	predict	VERB
cana-1457	505	7	)	)	PUNCT
cana-1457	505	8	are	be	AUX
cana-1457	505	9	scattered	scatter	VERB
cana-1457	505	10	around	around	ADP
cana-1457	505	11	the	the	DET
cana-1457	505	12	red	red	ADJ
cana-1457	505	13	horizontal	horizontal	ADJ
cana-1457	505	14	line	line	NOUN
cana-1457	505	15	,	,	PUNCT
cana-1457	505	16	which	which	PRON
cana-1457	505	17	represents	represent	VERB
cana-1457	505	18	zero	zero	NUM
cana-1457	505	19	error	error	NOUN
cana-1457	505	20	.	.	PUNCT
cana-1457	506	1	ideally	ideally	ADV
cana-1457	506	2	,	,	PUNCT
cana-1457	506	3	a	a	DET
cana-1457	506	4	good	good	ADJ
cana-1457	506	5	model	model	NOUN
cana-1457	506	6	will	will	AUX
cana-1457	506	7	have	have	VERB
cana-1457	506	8	residuals	residual	NOUN
cana-1457	506	9	randomly	randomly	ADV
cana-1457	506	10	distributed	distribute	VERB
cana-1457	506	11	around	around	ADP
cana-1457	506	12	this	this	DET
cana-1457	506	13	line	line	NOUN
cana-1457	506	14	without	without	ADP
cana-1457	506	15	any	any	DET
cana-1457	506	16	discernible	discernible	ADJ
cana-1457	506	17	pattern	pattern	NOUN
cana-1457	506	18	.	.	PUNCT
cana-1457	507	1	the	the	DET
cana-1457	507	2	residuals	residual	NOUN
cana-1457	507	3	are	be	AUX
cana-1457	507	4	mostly	mostly	ADV
cana-1457	507	5	scattered	scatter	VERB
cana-1457	507	6	evenly	evenly	ADV
cana-1457	507	7	around	around	ADP
cana-1457	507	8	the	the	DET
cana-1457	507	9	zero	zero	NUM
cana-1457	507	10	-	-	PUNCT
cana-1457	507	11	error	error	NOUN
cana-1457	507	12	line	line	NOUN
cana-1457	507	13	,	,	PUNCT
cana-1457	507	14	suggesting	suggest	VERB
cana-1457	507	15	that	that	SCONJ
cana-1457	507	16	the	the	DET
cana-1457	507	17	model	model	NOUN
cana-1457	507	18	does	do	AUX
cana-1457	507	19	not	not	PART
cana-1457	507	20	have	have	VERB
cana-1457	507	21	systematic	systematic	ADJ
cana-1457	507	22	bias	bias	NOUN
cana-1457	507	23	(	(	PUNCT
cana-1457	507	24	such	such	ADJ
cana-1457	507	25	as	as	ADP
cana-1457	507	26	always	always	ADV
cana-1457	507	27	overor	overor	NOUN
cana-1457	507	28	under	under	NOUN
cana-1457	507	29	-	-	PUNCT
cana-1457	507	30	predicting	predicting	NOUN
cana-1457	507	31	)	)	PUNCT
cana-1457	507	32	.	.	PUNCT
cana-1457	508	1	the	the	DET
cana-1457	508	2	spread	spread	NOUN
cana-1457	508	3	of	of	ADP
cana-1457	508	4	the	the	DET
cana-1457	508	5	residuals	residual	NOUN
cana-1457	508	6	is	be	AUX
cana-1457	508	7	small	small	ADJ
cana-1457	508	8	,	,	PUNCT
cana-1457	508	9	further	far	ADV
cana-1457	508	10	indicating	indicate	VERB
cana-1457	508	11	the	the	DET
cana-1457	508	12	model	model	NOUN
cana-1457	508	13	’s	’s	PART
cana-1457	508	14	robustness	robustness	NOUN
cana-1457	508	15	and	and	CCONJ
cana-1457	508	16	accuracy	accuracy	NOUN
cana-1457	508	17	in	in	ADP
cana-1457	508	18	prediction	prediction	NOUN
cana-1457	508	19	.	.	PUNCT
cana-1457	509	1	communications	communication	NOUN
cana-1457	509	2	on	on	ADP
cana-1457	509	3	applied	apply	VERB
cana-1457	509	4	nonlinear	nonlinear	ADJ
cana-1457	509	5	analysis	analysis	NOUN
cana-1457	509	6	issn	issn	NOUN
cana-1457	509	7	:	:	PUNCT
cana-1457	509	8	1074	1074	NUM
cana-1457	509	9	-	-	PUNCT
cana-1457	509	10	133x	133x	NUM
cana-1457	509	11	vol	vol	NOUN
cana-1457	509	12	31	31	NUM
cana-1457	509	13	no	no	NOUN
cana-1457	509	14	.	.	PUNCT
cana-1457	510	1	8s	8s	PROPN
cana-1457	510	2	(	(	PUNCT
cana-1457	510	3	2024	2024	NUM
cana-1457	510	4	)	)	PUNCT
cana-1457	510	5	81	81	NUM
cana-1457	510	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	510	7	the	the	DET
cana-1457	510	8	residual	residual	ADJ
cana-1457	510	9	distribution	distribution	NOUN
cana-1457	510	10	plot	plot	NOUN
cana-1457	510	11	(	(	PUNCT
cana-1457	510	12	figure	figure	NOUN
cana-1457	510	13	3	3	NUM
cana-1457	510	14	)	)	PUNCT
cana-1457	510	15	shows	show	VERB
cana-1457	510	16	the	the	DET
cana-1457	510	17	distribution	distribution	NOUN
cana-1457	510	18	of	of	ADP
cana-1457	510	19	prediction	prediction	NOUN
cana-1457	510	20	errors	error	NOUN
cana-1457	510	21	.	.	PUNCT
cana-1457	511	1	the	the	DET
cana-1457	511	2	majority	majority	NOUN
cana-1457	511	3	of	of	ADP
cana-1457	511	4	the	the	DET
cana-1457	511	5	residuals	residual	NOUN
cana-1457	511	6	are	be	AUX
cana-1457	511	7	centered	center	VERB
cana-1457	511	8	on	on	ADP
cana-1457	511	9	zero	zero	NUM
cana-1457	511	10	,	,	PUNCT
cana-1457	511	11	as	as	SCONJ
cana-1457	511	12	shown	show	VERB
cana-1457	511	13	by	by	ADP
cana-1457	511	14	the	the	DET
cana-1457	511	15	green	green	ADJ
cana-1457	511	16	distribution	distribution	NOUN
cana-1457	511	17	curve	curve	NOUN
cana-1457	511	18	.	.	PUNCT
cana-1457	512	1	the	the	DET
cana-1457	512	2	red	red	PROPN
cana-1457	512	3	dashed	dash	VERB
cana-1457	512	4	line	line	NOUN
cana-1457	512	5	represents	represent	VERB
cana-1457	512	6	zero	zero	NUM
cana-1457	512	7	error	error	NOUN
cana-1457	512	8	,	,	PUNCT
cana-1457	512	9	and	and	CCONJ
cana-1457	512	10	the	the	DET
cana-1457	512	11	distribution	distribution	NOUN
cana-1457	512	12	of	of	ADP
cana-1457	512	13	errors	error	NOUN
cana-1457	512	14	provides	provide	VERB
cana-1457	512	15	insight	insight	NOUN
cana-1457	512	16	into	into	ADP
cana-1457	512	17	the	the	DET
cana-1457	512	18	model	model	NOUN
cana-1457	512	19	's	's	PART
cana-1457	512	20	performance	performance	NOUN
cana-1457	512	21	in	in	ADP
cana-1457	512	22	terms	term	NOUN
cana-1457	512	23	of	of	ADP
cana-1457	512	24	handling	handle	VERB
cana-1457	512	25	noise	noise	NOUN
cana-1457	512	26	and	and	CCONJ
cana-1457	512	27	outliers	outlier	NOUN
cana-1457	512	28	.	.	PUNCT
cana-1457	513	1	the	the	DET
cana-1457	513	2	plot	plot	NOUN
cana-1457	513	3	demonstrates	demonstrate	VERB
cana-1457	513	4	that	that	SCONJ
cana-1457	513	5	most	most	ADJ
cana-1457	513	6	residuals	residual	NOUN
cana-1457	513	7	are	be	AUX
cana-1457	513	8	close	close	ADJ
cana-1457	513	9	to	to	ADP
cana-1457	513	10	zero	zero	NUM
cana-1457	513	11	,	,	PUNCT
cana-1457	513	12	indicating	indicate	VERB
cana-1457	513	13	small	small	ADJ
cana-1457	513	14	prediction	prediction	NOUN
cana-1457	513	15	errors	error	NOUN
cana-1457	513	16	.	.	PUNCT
cana-1457	514	1	there	there	PRON
cana-1457	514	2	are	be	VERB
cana-1457	514	3	no	no	DET
cana-1457	514	4	extreme	extreme	ADJ
cana-1457	514	5	outliers	outlier	NOUN
cana-1457	514	6	,	,	PUNCT
cana-1457	514	7	suggesting	suggest	VERB
cana-1457	514	8	that	that	SCONJ
cana-1457	514	9	the	the	DET
cana-1457	514	10	model	model	NOUN
cana-1457	514	11	is	be	AUX
cana-1457	514	12	capable	capable	ADJ
cana-1457	514	13	of	of	ADP
cana-1457	514	14	handling	handle	VERB
cana-1457	514	15	noisy	noisy	ADJ
cana-1457	514	16	data	datum	NOUN
cana-1457	514	17	without	without	ADP
cana-1457	514	18	producing	produce	VERB
cana-1457	514	19	large	large	ADJ
cana-1457	514	20	errors	error	NOUN
cana-1457	514	21	.	.	PUNCT
cana-1457	515	1	this	this	PRON
cana-1457	515	2	complements	complement	VERB
cana-1457	515	3	the	the	DET
cana-1457	515	4	low	low	ADJ
cana-1457	515	5	rmse	rmse	NOUN
cana-1457	515	6	of	of	ADP
cana-1457	515	7	1.15	1.15	NUM
cana-1457	515	8	,	,	PUNCT
cana-1457	515	9	confirming	confirm	VERB
cana-1457	515	10	the	the	DET
cana-1457	515	11	model	model	NOUN
cana-1457	515	12	’s	’s	PART
cana-1457	515	13	capability	capability	NOUN
cana-1457	515	14	to	to	PART
cana-1457	515	15	minimize	minimize	VERB
cana-1457	515	16	large	large	ADJ
cana-1457	515	17	deviations	deviation	NOUN
cana-1457	515	18	.	.	PUNCT
cana-1457	516	1	the	the	DET
cana-1457	516	2	feature	feature	NOUN
cana-1457	516	3	importance	importance	NOUN
cana-1457	516	4	plot	plot	NOUN
cana-1457	516	5	(	(	PUNCT
cana-1457	516	6	figure	figure	NOUN
cana-1457	516	7	4	4	NUM
cana-1457	516	8	)	)	PUNCT
cana-1457	516	9	highlights	highlight	NOUN
cana-1457	516	10	which	which	PRON
cana-1457	516	11	features	feature	VERB
cana-1457	516	12	contribute	contribute	VERB
cana-1457	516	13	most	most	ADJ
cana-1457	516	14	to	to	ADP
cana-1457	516	15	the	the	DET
cana-1457	516	16	model	model	NOUN
cana-1457	516	17	's	's	PART
cana-1457	516	18	predictions	prediction	NOUN
cana-1457	516	19	.	.	PUNCT
cana-1457	517	1	in	in	ADP
cana-1457	517	2	this	this	DET
cana-1457	517	3	case	case	NOUN
cana-1457	517	4	,	,	PUNCT
cana-1457	517	5	environmental	environmental	ADJ
cana-1457	517	6	factors	factor	NOUN
cana-1457	517	7	such	such	ADJ
cana-1457	517	8	as	as	ADP
cana-1457	517	9	temperature	temperature	NOUN
cana-1457	517	10	,	,	PUNCT
cana-1457	517	11	humidity	humidity	NOUN
cana-1457	517	12	,	,	PUNCT
cana-1457	517	13	and	and	CCONJ
cana-1457	517	14	moisture	moisture	NOUN
cana-1457	517	15	content	content	NOUN
cana-1457	517	16	are	be	AUX
cana-1457	517	17	ranked	rank	VERB
cana-1457	517	18	based	base	VERB
cana-1457	517	19	on	on	ADP
cana-1457	517	20	their	their	PRON
cana-1457	517	21	importance	importance	NOUN
cana-1457	517	22	in	in	ADP
cana-1457	517	23	the	the	DET
cana-1457	517	24	prediction	prediction	NOUN
cana-1457	517	25	process	process	NOUN
cana-1457	517	26	.	.	PUNCT
cana-1457	518	1	the	the	DET
cana-1457	518	2	plot	plot	NOUN
cana-1457	518	3	reveals	reveal	VERB
cana-1457	518	4	that	that	SCONJ
cana-1457	518	5	moisture	moisture	NOUN
cana-1457	518	6	content	content	NOUN
cana-1457	518	7	and	and	CCONJ
cana-1457	518	8	humidity	humidity	NOUN
cana-1457	518	9	play	play	VERB
cana-1457	518	10	significant	significant	ADJ
cana-1457	518	11	roles	role	NOUN
cana-1457	518	12	in	in	ADP
cana-1457	518	13	predicting	predict	VERB
cana-1457	518	14	the	the	DET
cana-1457	518	15	final	final	ADJ
cana-1457	518	16	moisture	moisture	NOUN
cana-1457	518	17	levels	level	NOUN
cana-1457	518	18	in	in	ADP
cana-1457	518	19	the	the	DET
cana-1457	518	20	tea	tea	NOUN
cana-1457	518	21	leaves	leave	NOUN
cana-1457	518	22	,	,	PUNCT
cana-1457	518	23	followed	follow	VERB
cana-1457	518	24	closely	closely	ADV
cana-1457	518	25	by	by	ADP
cana-1457	518	26	temperature	temperature	NOUN
cana-1457	518	27	.	.	PUNCT
cana-1457	519	1	this	this	PRON
cana-1457	519	2	confirms	confirm	VERB
cana-1457	519	3	the	the	DET
cana-1457	519	4	model	model	NOUN
cana-1457	519	5	's	's	PART
cana-1457	519	6	ability	ability	NOUN
cana-1457	519	7	to	to	PART
cana-1457	519	8	capture	capture	VERB
cana-1457	519	9	the	the	DET
cana-1457	519	10	relevant	relevant	ADJ
cana-1457	519	11	factors	factor	NOUN
cana-1457	519	12	that	that	PRON
cana-1457	519	13	affect	affect	VERB
cana-1457	519	14	tea	tea	NOUN
cana-1457	519	15	withering	wither	VERB
cana-1457	519	16	and	and	CCONJ
cana-1457	519	17	emphasizes	emphasize	VERB
cana-1457	519	18	the	the	DET
cana-1457	519	19	importance	importance	NOUN
cana-1457	519	20	of	of	ADP
cana-1457	519	21	monitoring	monitor	VERB
cana-1457	519	22	humidity	humidity	NOUN
cana-1457	519	23	closely	closely	ADV
cana-1457	519	24	.	.	PUNCT
cana-1457	520	1	communications	communication	NOUN
cana-1457	520	2	on	on	ADP
cana-1457	520	3	applied	apply	VERB
cana-1457	520	4	nonlinear	nonlinear	ADJ
cana-1457	520	5	analysis	analysis	NOUN
cana-1457	520	6	issn	issn	NOUN
cana-1457	520	7	:	:	PUNCT
cana-1457	520	8	1074	1074	NUM
cana-1457	520	9	-	-	PUNCT
cana-1457	520	10	133x	133x	NUM
cana-1457	520	11	vol	vol	NOUN
cana-1457	520	12	31	31	NUM
cana-1457	520	13	no	no	NOUN
cana-1457	520	14	.	.	PUNCT
cana-1457	521	1	8s	8s	PROPN
cana-1457	521	2	(	(	PUNCT
cana-1457	521	3	2024	2024	NUM
cana-1457	521	4	)	)	PUNCT
cana-1457	521	5	82	82	NUM
cana-1457	521	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	522	1	the	the	DET
cana-1457	522	2	predicted	predict	VERB
cana-1457	522	3	vs.	vs.	ADP
cana-1457	522	4	actual	actual	ADJ
cana-1457	522	5	moisture	moisture	NOUN
cana-1457	522	6	content	content	NOUN
cana-1457	522	7	over	over	ADP
cana-1457	522	8	time	time	NOUN
cana-1457	522	9	plot	plot	NOUN
cana-1457	522	10	(	(	PUNCT
cana-1457	522	11	figure	figure	NOUN
cana-1457	522	12	5	5	NUM
cana-1457	522	13	)	)	PUNCT
cana-1457	522	14	illustrates	illustrate	VERB
cana-1457	522	15	how	how	SCONJ
cana-1457	522	16	the	the	DET
cana-1457	522	17	predicted	predict	VERB
cana-1457	522	18	moisture	moisture	NOUN
cana-1457	522	19	content	content	NOUN
cana-1457	522	20	changes	change	NOUN
cana-1457	522	21	over	over	ADP
cana-1457	522	22	time	time	NOUN
cana-1457	522	23	,	,	PUNCT
cana-1457	522	24	alongside	alongside	ADP
cana-1457	522	25	the	the	DET
cana-1457	522	26	actual	actual	ADJ
cana-1457	522	27	values	value	NOUN
cana-1457	522	28	.	.	PUNCT
cana-1457	523	1	the	the	DET
cana-1457	523	2	green	green	PROPN
cana-1457	523	3	dashed	dash	VERB
cana-1457	523	4	line	line	NOUN
cana-1457	523	5	represents	represent	VERB
cana-1457	523	6	the	the	DET
cana-1457	523	7	model	model	NOUN
cana-1457	523	8	's	's	PART
cana-1457	523	9	predictions	prediction	NOUN
cana-1457	523	10	,	,	PUNCT
cana-1457	523	11	while	while	SCONJ
cana-1457	523	12	the	the	DET
cana-1457	523	13	blue	blue	ADJ
cana-1457	523	14	line	line	NOUN
cana-1457	523	15	represents	represent	VERB
cana-1457	523	16	the	the	DET
cana-1457	523	17	actual	actual	ADJ
cana-1457	523	18	moisture	moisture	NOUN
cana-1457	523	19	content	content	NOUN
cana-1457	523	20	.	.	PUNCT
cana-1457	524	1	the	the	DET
cana-1457	524	2	predictions	prediction	NOUN
cana-1457	524	3	track	track	VERB
cana-1457	524	4	the	the	DET
cana-1457	524	5	actual	actual	ADJ
cana-1457	524	6	moisture	moisture	NOUN
cana-1457	524	7	levels	level	NOUN
cana-1457	524	8	closely	closely	ADV
cana-1457	524	9	over	over	ADP
cana-1457	524	10	time	time	NOUN
cana-1457	524	11	,	,	PUNCT
cana-1457	524	12	indicating	indicate	VERB
cana-1457	524	13	that	that	SCONJ
cana-1457	524	14	the	the	DET
cana-1457	524	15	model	model	NOUN
cana-1457	524	16	is	be	AUX
cana-1457	524	17	effective	effective	ADJ
cana-1457	524	18	at	at	ADP
cana-1457	524	19	predicting	predict	VERB
cana-1457	524	20	changes	change	NOUN
cana-1457	524	21	in	in	ADP
cana-1457	524	22	moisture	moisture	NOUN
cana-1457	524	23	content	content	NOUN
cana-1457	524	24	throughout	throughout	ADP
cana-1457	524	25	the	the	DET
cana-1457	524	26	withering	wither	VERB
cana-1457	524	27	process	process	NOUN
cana-1457	524	28	.	.	PUNCT
cana-1457	525	1	the	the	DET
cana-1457	525	2	occasional	occasional	ADJ
cana-1457	525	3	small	small	ADJ
cana-1457	525	4	deviations	deviation	NOUN
cana-1457	525	5	between	between	ADP
cana-1457	525	6	the	the	DET
cana-1457	525	7	predicted	predict	VERB
cana-1457	525	8	and	and	CCONJ
cana-1457	525	9	actual	actual	ADJ
cana-1457	525	10	values	value	NOUN
cana-1457	525	11	are	be	AUX
cana-1457	525	12	acceptable	acceptable	ADJ
cana-1457	525	13	given	give	VERB
cana-1457	525	14	the	the	DET
cana-1457	525	15	complexity	complexity	NOUN
cana-1457	525	16	of	of	ADP
cana-1457	525	17	the	the	DET
cana-1457	525	18	environment	environment	NOUN
cana-1457	525	19	.	.	PUNCT
cana-1457	526	1	this	this	DET
cana-1457	526	2	trend	trend	NOUN
cana-1457	526	3	highlights	highlight	VERB
cana-1457	526	4	the	the	DET
cana-1457	526	5	model	model	NOUN
cana-1457	526	6	’s	’s	PART
cana-1457	526	7	reliability	reliability	NOUN
cana-1457	526	8	in	in	ADP
cana-1457	526	9	forecasting	forecast	VERB
cana-1457	526	10	moisture	moisture	NOUN
cana-1457	526	11	changes	change	NOUN
cana-1457	526	12	and	and	CCONJ
cana-1457	526	13	adjusting	adjust	VERB
cana-1457	526	14	the	the	DET
cana-1457	526	15	withering	wither	VERB
cana-1457	526	16	process	process	NOUN
cana-1457	526	17	accordingly	accordingly	ADV
cana-1457	526	18	.	.	PUNCT
cana-1457	527	1	the	the	DET
cana-1457	527	2	environmental	environmental	ADJ
cana-1457	527	3	factors	factor	NOUN
cana-1457	527	4	vs.	vs.	ADP
cana-1457	527	5	moisture	moisture	NOUN
cana-1457	527	6	content	content	NOUN
cana-1457	527	7	plot	plot	NOUN
cana-1457	527	8	(	(	PUNCT
cana-1457	527	9	figure	figure	NOUN
cana-1457	527	10	6	6	NUM
cana-1457	527	11	)	)	PUNCT
cana-1457	527	12	shows	show	VERB
cana-1457	527	13	how	how	SCONJ
cana-1457	527	14	temperature	temperature	NOUN
cana-1457	527	15	(	(	PUNCT
cana-1457	527	16	red	red	ADJ
cana-1457	527	17	)	)	PUNCT
cana-1457	527	18	and	and	CCONJ
cana-1457	527	19	humidity	humidity	NOUN
cana-1457	527	20	(	(	PUNCT
cana-1457	527	21	blue	blue	ADJ
cana-1457	527	22	)	)	PUNCT
cana-1457	527	23	influence	influence	NOUN
cana-1457	527	24	moisture	moisture	NOUN
cana-1457	527	25	content	content	NOUN
cana-1457	527	26	.	.	PUNCT
cana-1457	528	1	this	this	DET
cana-1457	528	2	plot	plot	NOUN
cana-1457	528	3	demonstrates	demonstrate	VERB
cana-1457	528	4	the	the	DET
cana-1457	528	5	relationship	relationship	NOUN
cana-1457	528	6	between	between	ADP
cana-1457	528	7	these	these	DET
cana-1457	528	8	environmental	environmental	ADJ
cana-1457	528	9	factors	factor	NOUN
cana-1457	528	10	and	and	CCONJ
cana-1457	528	11	the	the	DET
cana-1457	528	12	moisture	moisture	NOUN
cana-1457	528	13	content	content	NOUN
cana-1457	528	14	of	of	ADP
cana-1457	528	15	tea	tea	NOUN
cana-1457	528	16	leaves	leave	NOUN
cana-1457	528	17	.	.	PUNCT
cana-1457	529	1	the	the	DET
cana-1457	529	2	scatter	scatter	NOUN
cana-1457	529	3	plot	plot	NOUN
cana-1457	529	4	shows	show	VERB
cana-1457	529	5	a	a	DET
cana-1457	529	6	strong	strong	ADJ
cana-1457	529	7	relationship	relationship	NOUN
cana-1457	529	8	between	between	ADP
cana-1457	529	9	both	both	DET
cana-1457	529	10	temperature	temperature	NOUN
cana-1457	529	11	and	and	CCONJ
cana-1457	529	12	humidity	humidity	NOUN
cana-1457	529	13	with	with	ADP
cana-1457	529	14	moisture	moisture	NOUN
cana-1457	529	15	content	content	NOUN
cana-1457	529	16	.	.	PUNCT
cana-1457	530	1	as	as	SCONJ
cana-1457	530	2	expected	expect	VERB
cana-1457	530	3	,	,	PUNCT
cana-1457	530	4	higher	high	ADJ
cana-1457	530	5	humidity	humidity	NOUN
cana-1457	530	6	is	be	AUX
cana-1457	530	7	associated	associate	VERB
cana-1457	530	8	with	with	ADP
cana-1457	530	9	higher	high	ADJ
cana-1457	530	10	moisture	moisture	NOUN
cana-1457	530	11	content	content	NOUN
cana-1457	530	12	in	in	ADP
cana-1457	530	13	the	the	DET
cana-1457	530	14	leaves	leave	NOUN
cana-1457	530	15	,	,	PUNCT
cana-1457	530	16	while	while	SCONJ
cana-1457	530	17	temperature	temperature	NOUN
cana-1457	530	18	has	have	VERB
cana-1457	530	19	a	a	DET
cana-1457	530	20	more	more	ADV
cana-1457	530	21	complex	complex	ADJ
cana-1457	530	22	interaction	interaction	NOUN
cana-1457	530	23	with	with	ADP
cana-1457	530	24	moisture	moisture	NOUN
cana-1457	530	25	levels	level	NOUN
cana-1457	530	26	.	.	PUNCT
cana-1457	531	1	this	this	PRON
cana-1457	531	2	reinforces	reinforce	VERB
cana-1457	531	3	the	the	DET
cana-1457	531	4	importance	importance	NOUN
cana-1457	531	5	of	of	ADP
cana-1457	531	6	carefully	carefully	ADV
cana-1457	531	7	controlling	control	VERB
cana-1457	531	8	these	these	DET
cana-1457	531	9	environmental	environmental	ADJ
cana-1457	531	10	factors	factor	NOUN
cana-1457	531	11	during	during	ADP
cana-1457	531	12	the	the	DET
cana-1457	531	13	withering	wither	VERB
cana-1457	531	14	process	process	NOUN
cana-1457	531	15	to	to	PART
cana-1457	531	16	achieve	achieve	VERB
cana-1457	531	17	the	the	DET
cana-1457	531	18	desired	desire	VERB
cana-1457	531	19	tea	tea	NOUN
cana-1457	531	20	quality	quality	NOUN
cana-1457	531	21	.	.	PUNCT
cana-1457	532	1	7.2	7.2	NUM
cana-1457	532	2	impact	impact	NOUN
cana-1457	532	3	of	of	ADP
cana-1457	532	4	the	the	DET
cana-1457	532	5	thingspeak	thingspeak	NOUN
cana-1457	532	6	iot	iot	PROPN
cana-1457	532	7	dashboard	dashboard	NOUN
cana-1457	532	8	on	on	ADP
cana-1457	532	9	real	real	ADJ
cana-1457	532	10	-	-	PUNCT
cana-1457	532	11	time	time	NOUN
cana-1457	532	12	monitoring	monitor	VERB
cana-1457	532	13	the	the	DET
cana-1457	532	14	real	real	ADJ
cana-1457	532	15	-	-	PUNCT
cana-1457	532	16	time	time	NOUN
cana-1457	532	17	monitoring	monitoring	NOUN
cana-1457	532	18	system	system	NOUN
cana-1457	532	19	,	,	PUNCT
cana-1457	532	20	built	build	VERB
cana-1457	532	21	on	on	ADP
cana-1457	532	22	thingspeak	thingspeak	NOUN
cana-1457	532	23	,	,	PUNCT
cana-1457	532	24	was	be	AUX
cana-1457	532	25	critical	critical	ADJ
cana-1457	532	26	to	to	ADP
cana-1457	532	27	the	the	DET
cana-1457	532	28	success	success	NOUN
cana-1457	532	29	of	of	ADP
cana-1457	532	30	this	this	DET
cana-1457	532	31	research	research	NOUN
cana-1457	532	32	.	.	PUNCT
cana-1457	533	1	the	the	DET
cana-1457	533	2	ability	ability	NOUN
cana-1457	533	3	to	to	PART
cana-1457	533	4	monitor	monitor	VERB
cana-1457	533	5	environmental	environmental	ADJ
cana-1457	533	6	conditions	condition	NOUN
cana-1457	533	7	in	in	ADP
cana-1457	533	8	real	real	ADJ
cana-1457	533	9	-	-	PUNCT
cana-1457	533	10	time	time	NOUN
cana-1457	533	11	provided	provide	VERB
cana-1457	533	12	tea	tea	NOUN
cana-1457	533	13	producers	producer	NOUN
cana-1457	533	14	with	with	ADP
cana-1457	533	15	valuable	valuable	ADJ
cana-1457	533	16	information	information	NOUN
cana-1457	533	17	that	that	PRON
cana-1457	533	18	allowed	allow	VERB
cana-1457	533	19	them	they	PRON
cana-1457	533	20	to	to	PART
cana-1457	533	21	make	make	VERB
cana-1457	533	22	immediate	immediate	ADJ
cana-1457	533	23	decisions	decision	NOUN
cana-1457	533	24	to	to	PART
cana-1457	533	25	optimize	optimize	VERB
cana-1457	533	26	the	the	DET
cana-1457	533	27	withering	wither	VERB
cana-1457	533	28	process	process	NOUN
cana-1457	533	29	.	.	PUNCT
cana-1457	534	1	the	the	DET
cana-1457	534	2	integration	integration	NOUN
cana-1457	534	3	of	of	ADP
cana-1457	534	4	iot	iot	ADJ
cana-1457	534	5	sensors	sensor	NOUN
cana-1457	534	6	,	,	PUNCT
cana-1457	534	7	such	such	ADJ
cana-1457	534	8	as	as	ADP
cana-1457	534	9	the	the	DET
cana-1457	534	10	dht22	dht22	NOUN
cana-1457	534	11	for	for	ADP
cana-1457	534	12	temperature	temperature	NOUN
cana-1457	534	13	and	and	CCONJ
cana-1457	534	14	humidity	humidity	NOUN
cana-1457	534	15	and	and	CCONJ
cana-1457	534	16	the	the	DET
cana-1457	534	17	capacitive	capacitive	ADJ
cana-1457	534	18	moisture	moisture	NOUN
cana-1457	534	19	sensor	sensor	NOUN
cana-1457	534	20	,	,	PUNCT
cana-1457	534	21	enabled	enable	VERB
cana-1457	534	22	continuous	continuous	ADJ
cana-1457	534	23	data	datum	NOUN
cana-1457	534	24	collection	collection	NOUN
cana-1457	534	25	,	,	PUNCT
cana-1457	534	26	which	which	PRON
cana-1457	534	27	was	be	AUX
cana-1457	534	28	sent	send	VERB
cana-1457	534	29	to	to	ADP
cana-1457	534	30	the	the	DET
cana-1457	534	31	thingspeak	thingspeak	NOUN
cana-1457	534	32	platform	platform	NOUN
cana-1457	534	33	.	.	PUNCT
cana-1457	535	1	the	the	DET
cana-1457	535	2	system	system	NOUN
cana-1457	535	3	’s	’s	PART
cana-1457	535	4	ability	ability	NOUN
cana-1457	535	5	to	to	PART
cana-1457	535	6	deliver	deliver	VERB
cana-1457	535	7	data	datum	NOUN
cana-1457	535	8	to	to	ADP
cana-1457	535	9	the	the	DET
cana-1457	535	10	dashboard	dashboard	NOUN
cana-1457	535	11	with	with	ADP
cana-1457	535	12	minimal	minimal	ADJ
cana-1457	535	13	delay	delay	NOUN
cana-1457	535	14	(	(	PUNCT
cana-1457	535	15	typically	typically	ADV
cana-1457	535	16	under	under	ADP
cana-1457	535	17	2	2	NUM
cana-1457	535	18	seconds	second	NOUN
cana-1457	535	19	)	)	PUNCT
cana-1457	535	20	ensured	ensure	VERB
cana-1457	535	21	that	that	SCONJ
cana-1457	535	22	producers	producer	NOUN
cana-1457	535	23	were	be	AUX
cana-1457	535	24	always	always	ADV
cana-1457	535	25	working	work	VERB
cana-1457	535	26	with	with	ADP
cana-1457	535	27	the	the	DET
cana-1457	535	28	most	most	ADV
cana-1457	535	29	current	current	ADJ
cana-1457	535	30	information	information	NOUN
cana-1457	535	31	.	.	PUNCT
cana-1457	536	1	the	the	DET
cana-1457	536	2	thingspeak	thingspeak	NOUN
cana-1457	536	3	platform	platform	NOUN
cana-1457	536	4	proved	prove	VERB
cana-1457	536	5	effective	effective	ADJ
cana-1457	536	6	in	in	ADP
cana-1457	536	7	visualizing	visualize	VERB
cana-1457	536	8	the	the	DET
cana-1457	536	9	environmental	environmental	ADJ
cana-1457	536	10	data	datum	NOUN
cana-1457	536	11	.	.	PUNCT
cana-1457	537	1	by	by	ADP
cana-1457	537	2	using	use	VERB
cana-1457	537	3	line	line	NOUN
cana-1457	537	4	plots	plot	NOUN
cana-1457	537	5	to	to	PART
cana-1457	537	6	track	track	VERB
cana-1457	537	7	temperature	temperature	NOUN
cana-1457	537	8	,	,	PUNCT
cana-1457	537	9	humidity	humidity	NOUN
cana-1457	537	10	,	,	PUNCT
cana-1457	537	11	and	and	CCONJ
cana-1457	537	12	moisture	moisture	NOUN
cana-1457	537	13	content	content	NOUN
cana-1457	537	14	over	over	ADP
cana-1457	537	15	time	time	NOUN
cana-1457	537	16	,	,	PUNCT
cana-1457	537	17	the	the	DET
cana-1457	537	18	dashboard	dashboard	NOUN
cana-1457	537	19	made	make	VERB
cana-1457	537	20	it	it	PRON
cana-1457	537	21	easy	easy	ADJ
cana-1457	537	22	for	for	SCONJ
cana-1457	537	23	producers	producer	NOUN
cana-1457	537	24	to	to	PART
cana-1457	537	25	identify	identify	VERB
cana-1457	537	26	trends	trend	NOUN
cana-1457	537	27	and	and	CCONJ
cana-1457	537	28	react	react	VERB
cana-1457	537	29	to	to	ADP
cana-1457	537	30	changes	change	NOUN
cana-1457	537	31	in	in	ADP
cana-1457	537	32	the	the	DET
cana-1457	537	33	environment	environment	NOUN
cana-1457	537	34	.	.	PUNCT
cana-1457	538	1	the	the	DET
cana-1457	538	2	gauge	gauge	ADJ
cana-1457	538	3	widgets	widget	NOUN
cana-1457	538	4	provided	provide	VERB
cana-1457	538	5	a	a	DET
cana-1457	538	6	snapshot	snapshot	NOUN
cana-1457	538	7	of	of	ADP
cana-1457	538	8	current	current	ADJ
cana-1457	538	9	conditions	condition	NOUN
cana-1457	538	10	,	,	PUNCT
cana-1457	538	11	offering	offer	VERB
cana-1457	538	12	an	an	DET
cana-1457	538	13	at	at	ADP
cana-1457	538	14	-	-	PUNCT
cana-1457	538	15	a	a	DET
cana-1457	538	16	-	-	PUNCT
cana-1457	538	17	glance	glance	NOUN
cana-1457	538	18	summary	summary	NOUN
cana-1457	538	19	of	of	ADP
cana-1457	538	20	whether	whether	SCONJ
cana-1457	538	21	the	the	DET
cana-1457	538	22	environmental	environmental	ADJ
cana-1457	538	23	parameters	parameter	NOUN
cana-1457	538	24	were	be	AUX
cana-1457	538	25	within	within	ADP
cana-1457	538	26	the	the	DET
cana-1457	538	27	optimal	optimal	ADJ
cana-1457	538	28	range	range	NOUN
cana-1457	538	29	.	.	PUNCT
cana-1457	539	1	this	this	DET
cana-1457	539	2	real	real	ADJ
cana-1457	539	3	-	-	PUNCT
cana-1457	539	4	time	time	NOUN
cana-1457	539	5	feedback	feedback	NOUN
cana-1457	539	6	helped	help	VERB
cana-1457	539	7	producers	producer	NOUN
cana-1457	539	8	fine	fine	ADJ
cana-1457	539	9	-	-	PUNCT
cana-1457	539	10	tune	tune	NOUN
cana-1457	539	11	their	their	PRON
cana-1457	539	12	communications	communication	NOUN
cana-1457	539	13	on	on	ADP
cana-1457	539	14	applied	apply	VERB
cana-1457	539	15	nonlinear	nonlinear	ADJ
cana-1457	539	16	analysis	analysis	NOUN
cana-1457	539	17	issn	issn	NOUN
cana-1457	539	18	:	:	PUNCT
cana-1457	539	19	1074	1074	NUM
cana-1457	539	20	-	-	PUNCT
cana-1457	539	21	133x	133x	NUM
cana-1457	539	22	vol	vol	NOUN
cana-1457	539	23	31	31	NUM
cana-1457	539	24	no	no	NOUN
cana-1457	539	25	.	.	PUNCT
cana-1457	540	1	8s	8s	PROPN
cana-1457	540	2	(	(	PUNCT
cana-1457	540	3	2024	2024	NUM
cana-1457	540	4	)	)	PUNCT
cana-1457	540	5	83	83	NUM
cana-1457	540	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	540	7	operations	operation	NOUN
cana-1457	540	8	,	,	PUNCT
cana-1457	540	9	ensuring	ensure	VERB
cana-1457	540	10	that	that	SCONJ
cana-1457	540	11	the	the	DET
cana-1457	540	12	withering	wither	VERB
cana-1457	540	13	process	process	NOUN
cana-1457	540	14	was	be	AUX
cana-1457	540	15	tightly	tightly	ADV
cana-1457	540	16	controlled	control	VERB
cana-1457	540	17	to	to	PART
cana-1457	540	18	produce	produce	VERB
cana-1457	540	19	tea	tea	NOUN
cana-1457	540	20	with	with	ADP
cana-1457	540	21	the	the	DET
cana-1457	540	22	desired	desire	VERB
cana-1457	540	23	flavor	flavor	NOUN
cana-1457	540	24	profile	profile	NOUN
cana-1457	540	25	.	.	PUNCT
cana-1457	541	1	another	another	DET
cana-1457	541	2	critical	critical	ADJ
cana-1457	541	3	feature	feature	NOUN
cana-1457	541	4	of	of	ADP
cana-1457	541	5	the	the	DET
cana-1457	541	6	thingspeak	thingspeak	NOUN
cana-1457	541	7	dashboard	dashboard	NOUN
cana-1457	541	8	was	be	AUX
cana-1457	541	9	its	its	PRON
cana-1457	541	10	integration	integration	NOUN
cana-1457	541	11	with	with	ADP
cana-1457	541	12	machine	machine	NOUN
cana-1457	541	13	learning	learning	NOUN
cana-1457	541	14	models	model	NOUN
cana-1457	541	15	through	through	ADP
cana-1457	541	16	matlab	matlab	PROPN
cana-1457	541	17	analytics	analytic	NOUN
cana-1457	541	18	.	.	PUNCT
cana-1457	542	1	by	by	ADP
cana-1457	542	2	running	run	VERB
cana-1457	542	3	xgboost	xgboost	ADV
cana-1457	542	4	and	and	CCONJ
cana-1457	542	5	lightgbm	lightgbm	VERB
cana-1457	542	6	predictions	prediction	NOUN
cana-1457	542	7	directly	directly	ADV
cana-1457	542	8	on	on	ADP
cana-1457	542	9	the	the	DET
cana-1457	542	10	thingspeak	thingspeak	NOUN
cana-1457	542	11	platform	platform	NOUN
cana-1457	542	12	,	,	PUNCT
cana-1457	542	13	the	the	DET
cana-1457	542	14	dashboard	dashboard	NOUN
cana-1457	542	15	provided	provide	VERB
cana-1457	542	16	producers	producer	NOUN
cana-1457	542	17	not	not	PART
cana-1457	542	18	only	only	ADV
cana-1457	542	19	with	with	ADP
cana-1457	542	20	real	real	ADJ
cana-1457	542	21	-	-	PUNCT
cana-1457	542	22	time	time	NOUN
cana-1457	542	23	data	datum	NOUN
cana-1457	542	24	but	but	CCONJ
cana-1457	542	25	also	also	ADV
cana-1457	542	26	with	with	ADP
cana-1457	542	27	forecasts	forecast	NOUN
cana-1457	542	28	of	of	ADP
cana-1457	542	29	future	future	ADJ
cana-1457	542	30	moisture	moisture	NOUN
cana-1457	542	31	levels	level	NOUN
cana-1457	542	32	.	.	PUNCT
cana-1457	543	1	the	the	DET
cana-1457	543	2	machine	machine	NOUN
cana-1457	543	3	learning	learning	NOUN
cana-1457	543	4	models	model	NOUN
cana-1457	543	5	predicted	predict	VERB
cana-1457	543	6	the	the	DET
cana-1457	543	7	moisture	moisture	NOUN
cana-1457	543	8	content	content	NOUN
cana-1457	543	9	based	base	VERB
cana-1457	543	10	on	on	ADP
cana-1457	543	11	the	the	DET
cana-1457	543	12	current	current	ADJ
cana-1457	543	13	temperature	temperature	NOUN
cana-1457	543	14	and	and	CCONJ
cana-1457	543	15	humidity	humidity	NOUN
cana-1457	543	16	readings	reading	NOUN
cana-1457	543	17	,	,	PUNCT
cana-1457	543	18	allowing	allow	VERB
cana-1457	543	19	producers	producer	NOUN
cana-1457	543	20	to	to	PART
cana-1457	543	21	anticipate	anticipate	VERB
cana-1457	543	22	changes	change	NOUN
cana-1457	543	23	and	and	CCONJ
cana-1457	543	24	adjust	adjust	VERB
cana-1457	543	25	the	the	DET
cana-1457	543	26	environment	environment	NOUN
cana-1457	543	27	accordingly	accordingly	ADV
cana-1457	543	28	.	.	PUNCT
cana-1457	544	1	for	for	ADP
cana-1457	544	2	example	example	NOUN
cana-1457	544	3	,	,	PUNCT
cana-1457	544	4	if	if	SCONJ
cana-1457	544	5	the	the	DET
cana-1457	544	6	predicted	predict	VERB
cana-1457	544	7	moisture	moisture	NOUN
cana-1457	544	8	level	level	NOUN
cana-1457	544	9	was	be	AUX
cana-1457	544	10	likely	likely	ADJ
cana-1457	544	11	to	to	PART
cana-1457	544	12	drop	drop	VERB
cana-1457	544	13	below	below	ADP
cana-1457	544	14	the	the	DET
cana-1457	544	15	optimal	optimal	ADJ
cana-1457	544	16	range	range	NOUN
cana-1457	544	17	,	,	PUNCT
cana-1457	544	18	the	the	DET
cana-1457	544	19	producer	producer	NOUN
cana-1457	544	20	could	could	AUX
cana-1457	544	21	increase	increase	VERB
cana-1457	544	22	the	the	DET
cana-1457	544	23	humidity	humidity	NOUN
cana-1457	544	24	or	or	CCONJ
cana-1457	544	25	reduce	reduce	VERB
cana-1457	544	26	the	the	DET
cana-1457	544	27	drying	dry	VERB
cana-1457	544	28	time	time	NOUN
cana-1457	544	29	to	to	PART
cana-1457	544	30	compensate	compensate	VERB
cana-1457	544	31	.	.	PUNCT
cana-1457	545	1	this	this	DET
cana-1457	545	2	predictive	predictive	ADJ
cana-1457	545	3	capability	capability	NOUN
cana-1457	545	4	greatly	greatly	ADV
cana-1457	545	5	enhanced	enhance	VERB
cana-1457	545	6	the	the	DET
cana-1457	545	7	decision	decision	NOUN
cana-1457	545	8	-	-	PUNCT
cana-1457	545	9	making	make	VERB
cana-1457	545	10	process	process	NOUN
cana-1457	545	11	,	,	PUNCT
cana-1457	545	12	allowing	allow	VERB
cana-1457	545	13	for	for	ADP
cana-1457	545	14	more	more	ADJ
cana-1457	545	15	proactive	proactive	ADJ
cana-1457	545	16	management	management	NOUN
cana-1457	545	17	of	of	ADP
cana-1457	545	18	the	the	DET
cana-1457	545	19	withering	wither	VERB
cana-1457	545	20	process	process	NOUN
cana-1457	545	21	.	.	PUNCT
cana-1457	546	1	7.3	7.3	NUM
cana-1457	546	2	practical	practical	ADJ
cana-1457	546	3	benefits	benefit	NOUN
cana-1457	546	4	for	for	ADP
cana-1457	546	5	tea	tea	NOUN
cana-1457	546	6	producers	producer	NOUN
cana-1457	546	7	the	the	DET
cana-1457	546	8	real	real	ADJ
cana-1457	546	9	-	-	PUNCT
cana-1457	546	10	world	world	NOUN
cana-1457	546	11	implications	implication	NOUN
cana-1457	546	12	of	of	ADP
cana-1457	546	13	this	this	DET
cana-1457	546	14	system	system	NOUN
cana-1457	546	15	for	for	ADP
cana-1457	546	16	tea	tea	NOUN
cana-1457	546	17	producers	producer	NOUN
cana-1457	546	18	are	be	AUX
cana-1457	546	19	profound	profound	ADJ
cana-1457	546	20	.	.	PUNCT
cana-1457	547	1	by	by	ADP
cana-1457	547	2	enabling	enable	VERB
cana-1457	547	3	real	real	ADJ
cana-1457	547	4	-	-	PUNCT
cana-1457	547	5	time	time	NOUN
cana-1457	547	6	monitoring	monitoring	NOUN
cana-1457	547	7	and	and	CCONJ
cana-1457	547	8	predictive	predictive	ADJ
cana-1457	547	9	analytics	analytic	NOUN
cana-1457	547	10	,	,	PUNCT
cana-1457	547	11	the	the	DET
cana-1457	547	12	system	system	NOUN
cana-1457	547	13	addresses	address	VERB
cana-1457	547	14	a	a	DET
cana-1457	547	15	key	key	ADJ
cana-1457	547	16	challenge	challenge	NOUN
cana-1457	547	17	in	in	ADP
cana-1457	547	18	tea	tea	NOUN
cana-1457	547	19	processing	processing	NOUN
cana-1457	547	20	:	:	PUNCT
cana-1457	547	21	the	the	DET
cana-1457	547	22	variability	variability	NOUN
cana-1457	547	23	of	of	ADP
cana-1457	547	24	environmental	environmental	ADJ
cana-1457	547	25	conditions	condition	NOUN
cana-1457	547	26	.	.	PUNCT
cana-1457	548	1	in	in	ADP
cana-1457	548	2	many	many	ADJ
cana-1457	548	3	tea	tea	NOUN
cana-1457	548	4	-	-	PUNCT
cana-1457	548	5	growing	grow	VERB
cana-1457	548	6	regions	region	NOUN
cana-1457	548	7	,	,	PUNCT
cana-1457	548	8	temperature	temperature	NOUN
cana-1457	548	9	and	and	CCONJ
cana-1457	548	10	humidity	humidity	NOUN
cana-1457	548	11	can	can	AUX
cana-1457	548	12	fluctuate	fluctuate	VERB
cana-1457	548	13	unpredictably	unpredictably	ADV
cana-1457	548	14	,	,	PUNCT
cana-1457	548	15	making	make	VERB
cana-1457	548	16	it	it	PRON
cana-1457	548	17	difficult	difficult	ADJ
cana-1457	548	18	to	to	PART
cana-1457	548	19	maintain	maintain	VERB
cana-1457	548	20	consistent	consistent	ADJ
cana-1457	548	21	moisture	moisture	NOUN
cana-1457	548	22	levels	level	NOUN
cana-1457	548	23	during	during	ADP
cana-1457	548	24	the	the	DET
cana-1457	548	25	withering	wither	VERB
cana-1457	548	26	process	process	NOUN
cana-1457	548	27	.	.	PUNCT
cana-1457	549	1	the	the	DET
cana-1457	549	2	thingspeak	thingspeak	NOUN
cana-1457	549	3	dashboard	dashboard	NOUN
cana-1457	549	4	provided	provide	VERB
cana-1457	549	5	producers	producer	NOUN
cana-1457	549	6	with	with	ADP
cana-1457	549	7	a	a	DET
cana-1457	549	8	solution	solution	NOUN
cana-1457	549	9	to	to	ADP
cana-1457	549	10	this	this	DET
cana-1457	549	11	problem	problem	NOUN
cana-1457	549	12	by	by	ADP
cana-1457	549	13	delivering	deliver	VERB
cana-1457	549	14	continuous	continuous	ADJ
cana-1457	549	15	,	,	PUNCT
cana-1457	549	16	accurate	accurate	ADJ
cana-1457	549	17	information	information	NOUN
cana-1457	549	18	about	about	ADP
cana-1457	549	19	the	the	DET
cana-1457	549	20	environmental	environmental	ADJ
cana-1457	549	21	conditions	condition	NOUN
cana-1457	549	22	,	,	PUNCT
cana-1457	549	23	along	along	ADP
cana-1457	549	24	with	with	ADP
cana-1457	549	25	machine	machine	NOUN
cana-1457	549	26	learning	learn	VERB
cana-1457	549	27	predictions	prediction	NOUN
cana-1457	549	28	that	that	PRON
cana-1457	549	29	allowed	allow	VERB
cana-1457	549	30	them	they	PRON
cana-1457	549	31	to	to	PART
cana-1457	549	32	anticipate	anticipate	VERB
cana-1457	549	33	changes	change	NOUN
cana-1457	549	34	before	before	SCONJ
cana-1457	549	35	they	they	PRON
cana-1457	549	36	occurred	occur	VERB
cana-1457	549	37	.	.	PUNCT
cana-1457	550	1	the	the	DET
cana-1457	550	2	system	system	NOUN
cana-1457	550	3	’s	’s	PART
cana-1457	550	4	alert	alert	ADJ
cana-1457	550	5	functionality	functionality	NOUN
cana-1457	550	6	was	be	AUX
cana-1457	550	7	particularly	particularly	ADV
cana-1457	550	8	useful	useful	ADJ
cana-1457	550	9	.	.	PUNCT
cana-1457	551	1	producers	producer	NOUN
cana-1457	551	2	could	could	AUX
cana-1457	551	3	configure	configure	VERB
cana-1457	551	4	alerts	alert	NOUN
cana-1457	551	5	to	to	PART
cana-1457	551	6	be	be	AUX
cana-1457	551	7	triggered	trigger	VERB
cana-1457	551	8	when	when	SCONJ
cana-1457	551	9	temperature	temperature	NOUN
cana-1457	551	10	or	or	CCONJ
cana-1457	551	11	humidity	humidity	NOUN
cana-1457	551	12	levels	level	NOUN
cana-1457	551	13	exceeded	exceed	VERB
cana-1457	551	14	predefined	predefine	VERB
cana-1457	551	15	thresholds	threshold	NOUN
cana-1457	551	16	,	,	PUNCT
cana-1457	551	17	ensuring	ensure	VERB
cana-1457	551	18	that	that	SCONJ
cana-1457	551	19	they	they	PRON
cana-1457	551	20	were	be	AUX
cana-1457	551	21	notified	notify	VERB
cana-1457	551	22	immediately	immediately	ADV
cana-1457	551	23	if	if	SCONJ
cana-1457	551	24	conditions	condition	NOUN
cana-1457	551	25	deviated	deviate	VERB
cana-1457	551	26	from	from	ADP
cana-1457	551	27	the	the	DET
cana-1457	551	28	optimal	optimal	ADJ
cana-1457	551	29	range	range	NOUN
cana-1457	551	30	.	.	PUNCT
cana-1457	552	1	for	for	ADP
cana-1457	552	2	example	example	NOUN
cana-1457	552	3	,	,	PUNCT
cana-1457	552	4	if	if	SCONJ
cana-1457	552	5	the	the	DET
cana-1457	552	6	temperature	temperature	NOUN
cana-1457	552	7	rose	rise	VERB
cana-1457	552	8	too	too	ADV
cana-1457	552	9	high	high	ADJ
cana-1457	552	10	during	during	ADP
cana-1457	552	11	the	the	DET
cana-1457	552	12	withering	wither	VERB
cana-1457	552	13	process	process	NOUN
cana-1457	552	14	,	,	PUNCT
cana-1457	552	15	the	the	DET
cana-1457	552	16	system	system	NOUN
cana-1457	552	17	could	could	AUX
cana-1457	552	18	send	send	VERB
cana-1457	552	19	an	an	DET
cana-1457	552	20	alert	alert	NOUN
cana-1457	552	21	via	via	ADP
cana-1457	552	22	sms	sms	PROPN
cana-1457	552	23	or	or	CCONJ
cana-1457	552	24	email	email	NOUN
cana-1457	552	25	,	,	PUNCT
cana-1457	552	26	prompting	prompt	VERB
cana-1457	552	27	the	the	DET
cana-1457	552	28	producer	producer	NOUN
cana-1457	552	29	to	to	PART
cana-1457	552	30	take	take	VERB
cana-1457	552	31	corrective	corrective	ADJ
cana-1457	552	32	action	action	NOUN
cana-1457	552	33	.	.	PUNCT
cana-1457	553	1	this	this	DET
cana-1457	553	2	real	real	ADJ
cana-1457	553	3	-	-	PUNCT
cana-1457	553	4	time	time	NOUN
cana-1457	553	5	intervention	intervention	NOUN
cana-1457	553	6	capability	capability	NOUN
cana-1457	553	7	is	be	AUX
cana-1457	553	8	essential	essential	ADJ
cana-1457	553	9	for	for	ADP
cana-1457	553	10	preventing	prevent	VERB
cana-1457	553	11	over	over	ADV
cana-1457	553	12	-	-	PUNCT
cana-1457	553	13	drying	dry	VERB
cana-1457	553	14	or	or	CCONJ
cana-1457	553	15	under	under	ADV
cana-1457	553	16	-	-	PUNCT
cana-1457	553	17	drying	dry	VERB
cana-1457	553	18	,	,	PUNCT
cana-1457	553	19	both	both	PRON
cana-1457	553	20	of	of	ADP
cana-1457	553	21	which	which	PRON
cana-1457	553	22	can	can	AUX
cana-1457	553	23	negatively	negatively	ADV
cana-1457	553	24	impact	impact	VERB
cana-1457	553	25	tea	tea	NOUN
cana-1457	553	26	quality	quality	NOUN
cana-1457	553	27	.	.	PUNCT
cana-1457	554	1	as	as	ADP
cana-1457	554	2	a	a	DET
cana-1457	554	3	result	result	NOUN
cana-1457	554	4	,	,	PUNCT
cana-1457	554	5	the	the	DET
cana-1457	554	6	system	system	NOUN
cana-1457	554	7	not	not	PART
cana-1457	554	8	only	only	ADV
cana-1457	554	9	improved	improve	VERB
cana-1457	554	10	operational	operational	ADJ
cana-1457	554	11	efficiency	efficiency	NOUN
cana-1457	554	12	but	but	CCONJ
cana-1457	554	13	also	also	ADV
cana-1457	554	14	helped	help	VERB
cana-1457	554	15	maintain	maintain	VERB
cana-1457	554	16	the	the	DET
cana-1457	554	17	quality	quality	NOUN
cana-1457	554	18	of	of	ADP
cana-1457	554	19	the	the	DET
cana-1457	554	20	tea	tea	NOUN
cana-1457	554	21	leaves	leave	NOUN
cana-1457	554	22	.	.	PUNCT
cana-1457	555	1	another	another	DET
cana-1457	555	2	advantage	advantage	NOUN
cana-1457	555	3	of	of	ADP
cana-1457	555	4	the	the	DET
cana-1457	555	5	system	system	NOUN
cana-1457	555	6	is	be	AUX
cana-1457	555	7	its	its	PRON
cana-1457	555	8	scalability	scalability	NOUN
cana-1457	555	9	.	.	PUNCT
cana-1457	556	1	while	while	SCONJ
cana-1457	556	2	this	this	DET
cana-1457	556	3	research	research	NOUN
cana-1457	556	4	focused	focus	VERB
cana-1457	556	5	on	on	ADP
cana-1457	556	6	small	small	ADJ
cana-1457	556	7	to	to	PART
cana-1457	556	8	mediumscale	mediumscale	VERB
cana-1457	556	9	tea	tea	NOUN
cana-1457	556	10	producers	producer	NOUN
cana-1457	556	11	,	,	PUNCT
cana-1457	556	12	the	the	DET
cana-1457	556	13	same	same	ADJ
cana-1457	556	14	system	system	NOUN
cana-1457	556	15	could	could	AUX
cana-1457	556	16	easily	easily	ADV
cana-1457	556	17	be	be	AUX
cana-1457	556	18	scaled	scale	VERB
cana-1457	556	19	to	to	ADP
cana-1457	556	20	larger	large	ADJ
cana-1457	556	21	operations	operation	NOUN
cana-1457	556	22	by	by	ADP
cana-1457	556	23	adding	add	VERB
cana-1457	556	24	more	more	ADJ
cana-1457	556	25	sensors	sensor	NOUN
cana-1457	556	26	and	and	CCONJ
cana-1457	556	27	channels	channel	NOUN
cana-1457	556	28	in	in	ADP
cana-1457	556	29	thingspeak	thingspeak	NOUN
cana-1457	556	30	.	.	PUNCT
cana-1457	557	1	the	the	DET
cana-1457	557	2	flexibility	flexibility	NOUN
cana-1457	557	3	of	of	ADP
cana-1457	557	4	the	the	DET
cana-1457	557	5	iot	iot	PROPN
cana-1457	557	6	infrastructure	infrastructure	NOUN
cana-1457	557	7	and	and	CCONJ
cana-1457	557	8	the	the	DET
cana-1457	557	9	cloud	cloud	NOUN
cana-1457	557	10	-	-	PUNCT
cana-1457	557	11	based	base	VERB
cana-1457	557	12	platform	platform	NOUN
cana-1457	557	13	means	mean	VERB
cana-1457	557	14	that	that	SCONJ
cana-1457	557	15	the	the	DET
cana-1457	557	16	system	system	NOUN
cana-1457	557	17	can	can	AUX
cana-1457	557	18	grow	grow	VERB
cana-1457	557	19	as	as	SCONJ
cana-1457	557	20	needed	need	VERB
cana-1457	557	21	,	,	PUNCT
cana-1457	557	22	providing	provide	VERB
cana-1457	557	23	larger	large	ADJ
cana-1457	557	24	producers	producer	NOUN
cana-1457	557	25	with	with	ADP
cana-1457	557	26	the	the	DET
cana-1457	557	27	same	same	ADJ
cana-1457	557	28	level	level	NOUN
cana-1457	557	29	of	of	ADP
cana-1457	557	30	real	real	ADJ
cana-1457	557	31	-	-	PUNCT
cana-1457	557	32	time	time	NOUN
cana-1457	557	33	insight	insight	NOUN
cana-1457	557	34	and	and	CCONJ
cana-1457	557	35	control	control	NOUN
cana-1457	557	36	over	over	ADP
cana-1457	557	37	their	their	PRON
cana-1457	557	38	withering	wither	VERB
cana-1457	557	39	process	process	NOUN
cana-1457	557	40	.	.	PUNCT
cana-1457	558	1	7.4	7.4	NUM
cana-1457	558	2	robustness	robustness	NOUN
cana-1457	558	3	of	of	ADP
cana-1457	558	4	the	the	DET
cana-1457	558	5	system	system	NOUN
cana-1457	558	6	ensuring	ensure	VERB
cana-1457	558	7	the	the	DET
cana-1457	558	8	robustness	robustness	NOUN
cana-1457	558	9	of	of	ADP
cana-1457	558	10	the	the	DET
cana-1457	558	11	system	system	NOUN
cana-1457	558	12	was	be	AUX
cana-1457	558	13	a	a	DET
cana-1457	558	14	key	key	ADJ
cana-1457	558	15	focus	focus	NOUN
cana-1457	558	16	of	of	ADP
cana-1457	558	17	this	this	DET
cana-1457	558	18	research	research	NOUN
cana-1457	558	19	.	.	PUNCT
cana-1457	559	1	the	the	DET
cana-1457	559	2	iot	iot	PROPN
cana-1457	559	3	sensors	sensor	NOUN
cana-1457	559	4	were	be	AUX
cana-1457	559	5	deployed	deploy	VERB
cana-1457	559	6	in	in	ADP
cana-1457	559	7	various	various	ADJ
cana-1457	559	8	environmental	environmental	ADJ
cana-1457	559	9	conditions	condition	NOUN
cana-1457	559	10	to	to	PART
cana-1457	559	11	test	test	VERB
cana-1457	559	12	the	the	DET
cana-1457	559	13	system	system	NOUN
cana-1457	559	14	's	's	PART
cana-1457	559	15	reliability	reliability	NOUN
cana-1457	559	16	in	in	ADP
cana-1457	559	17	the	the	DET
cana-1457	559	18	face	face	NOUN
cana-1457	559	19	of	of	ADP
cana-1457	559	20	fluctuating	fluctuate	VERB
cana-1457	559	21	temperature	temperature	NOUN
cana-1457	559	22	and	and	CCONJ
cana-1457	559	23	humidity	humidity	NOUN
cana-1457	559	24	.	.	PUNCT
cana-1457	560	1	the	the	DET
cana-1457	560	2	results	result	NOUN
cana-1457	560	3	indicated	indicate	VERB
cana-1457	560	4	that	that	SCONJ
cana-1457	560	5	the	the	DET
cana-1457	560	6	thingspeak	thingspeak	NOUN
cana-1457	560	7	platform	platform	NOUN
cana-1457	560	8	handled	handle	VERB
cana-1457	560	9	continuous	continuous	ADJ
cana-1457	560	10	data	datum	NOUN
cana-1457	560	11	transmission	transmission	NOUN
cana-1457	560	12	effectively	effectively	ADV
cana-1457	560	13	,	,	PUNCT
cana-1457	560	14	even	even	ADV
cana-1457	560	15	when	when	SCONJ
cana-1457	560	16	faced	face	VERB
cana-1457	560	17	with	with	ADP
cana-1457	560	18	intermittent	intermittent	ADJ
cana-1457	560	19	internet	internet	NOUN
cana-1457	560	20	connectivity	connectivity	NOUN
cana-1457	560	21	or	or	CCONJ
cana-1457	560	22	sensor	sensor	NOUN
cana-1457	560	23	disruptions	disruption	NOUN
cana-1457	560	24	.	.	PUNCT
cana-1457	561	1	this	this	DET
cana-1457	561	2	robustness	robustness	NOUN
cana-1457	561	3	is	be	AUX
cana-1457	561	4	critical	critical	ADJ
cana-1457	561	5	for	for	ADP
cana-1457	561	6	producers	producer	NOUN
cana-1457	561	7	who	who	PRON
cana-1457	561	8	operate	operate	VERB
cana-1457	561	9	in	in	ADP
cana-1457	561	10	remote	remote	ADJ
cana-1457	561	11	or	or	CCONJ
cana-1457	561	12	rural	rural	ADJ
cana-1457	561	13	areas	area	NOUN
cana-1457	561	14	where	where	SCONJ
cana-1457	561	15	network	network	NOUN
cana-1457	561	16	reliability	reliability	NOUN
cana-1457	561	17	can	can	AUX
cana-1457	561	18	be	be	AUX
cana-1457	561	19	a	a	DET
cana-1457	561	20	concern	concern	NOUN
cana-1457	561	21	.	.	PUNCT
cana-1457	562	1	communications	communication	NOUN
cana-1457	562	2	on	on	ADP
cana-1457	562	3	applied	apply	VERB
cana-1457	562	4	nonlinear	nonlinear	ADJ
cana-1457	562	5	analysis	analysis	NOUN
cana-1457	562	6	issn	issn	NOUN
cana-1457	562	7	:	:	PUNCT
cana-1457	562	8	1074	1074	NUM
cana-1457	562	9	-	-	PUNCT
cana-1457	562	10	133x	133x	NUM
cana-1457	562	11	vol	vol	NOUN
cana-1457	562	12	31	31	NUM
cana-1457	562	13	no	no	NOUN
cana-1457	562	14	.	.	PUNCT
cana-1457	563	1	8s	8s	PROPN
cana-1457	563	2	(	(	PUNCT
cana-1457	563	3	2024	2024	NUM
cana-1457	563	4	)	)	PUNCT
cana-1457	563	5	84	84	NUM
cana-1457	563	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	563	7	the	the	DET
cana-1457	563	8	system	system	NOUN
cana-1457	563	9	's	's	PART
cana-1457	563	10	ability	ability	NOUN
cana-1457	563	11	to	to	PART
cana-1457	563	12	handle	handle	VERB
cana-1457	563	13	sensor	sensor	NOUN
cana-1457	563	14	noise	noise	NOUN
cana-1457	563	15	and	and	CCONJ
cana-1457	563	16	missing	miss	VERB
cana-1457	563	17	data	datum	NOUN
cana-1457	563	18	was	be	AUX
cana-1457	563	19	also	also	ADV
cana-1457	563	20	tested	test	VERB
cana-1457	563	21	.	.	PUNCT
cana-1457	564	1	the	the	DET
cana-1457	564	2	use	use	NOUN
cana-1457	564	3	of	of	ADP
cana-1457	564	4	data	datum	NOUN
cana-1457	564	5	preprocessing	preprocesse	VERB
cana-1457	564	6	techniques	technique	NOUN
cana-1457	564	7	,	,	PUNCT
cana-1457	564	8	such	such	ADJ
cana-1457	564	9	as	as	ADP
cana-1457	564	10	the	the	DET
cana-1457	564	11	moving	move	VERB
cana-1457	564	12	average	average	ADJ
cana-1457	564	13	filter	filter	NOUN
cana-1457	564	14	to	to	PART
cana-1457	564	15	reduce	reduce	VERB
cana-1457	564	16	noise	noise	NOUN
cana-1457	564	17	and	and	CCONJ
cana-1457	564	18	linear	linear	ADJ
cana-1457	564	19	interpolation	interpolation	NOUN
cana-1457	564	20	to	to	PART
cana-1457	564	21	handle	handle	VERB
cana-1457	564	22	missing	miss	VERB
cana-1457	564	23	data	datum	NOUN
cana-1457	564	24	,	,	PUNCT
cana-1457	564	25	proved	prove	VERB
cana-1457	564	26	effective	effective	ADJ
cana-1457	564	27	in	in	ADP
cana-1457	564	28	ensuring	ensure	VERB
cana-1457	564	29	that	that	SCONJ
cana-1457	564	30	the	the	DET
cana-1457	564	31	data	datum	NOUN
cana-1457	564	32	fed	feed	VERB
cana-1457	564	33	into	into	ADP
cana-1457	564	34	the	the	DET
cana-1457	564	35	machine	machine	NOUN
cana-1457	564	36	learning	learning	NOUN
cana-1457	564	37	models	model	NOUN
cana-1457	564	38	remained	remain	VERB
cana-1457	564	39	clean	clean	ADJ
cana-1457	564	40	and	and	CCONJ
cana-1457	564	41	accurate	accurate	ADJ
cana-1457	564	42	.	.	PUNCT
cana-1457	565	1	the	the	DET
cana-1457	565	2	robustness	robustness	NOUN
cana-1457	565	3	of	of	ADP
cana-1457	565	4	the	the	DET
cana-1457	565	5	system	system	NOUN
cana-1457	565	6	was	be	AUX
cana-1457	565	7	further	far	ADV
cana-1457	565	8	demonstrated	demonstrate	VERB
cana-1457	565	9	by	by	ADP
cana-1457	565	10	its	its	PRON
cana-1457	565	11	ability	ability	NOUN
cana-1457	565	12	to	to	PART
cana-1457	565	13	maintain	maintain	VERB
cana-1457	565	14	high	high	ADJ
cana-1457	565	15	prediction	prediction	NOUN
cana-1457	565	16	accuracy	accuracy	NOUN
cana-1457	565	17	even	even	ADV
cana-1457	565	18	when	when	SCONJ
cana-1457	565	19	faced	face	VERB
cana-1457	565	20	with	with	ADP
cana-1457	565	21	moderate	moderate	ADJ
cana-1457	565	22	levels	level	NOUN
cana-1457	565	23	of	of	ADP
cana-1457	565	24	sensor	sensor	NOUN
cana-1457	565	25	noise	noise	NOUN
cana-1457	565	26	or	or	CCONJ
cana-1457	565	27	missing	miss	VERB
cana-1457	565	28	data	datum	NOUN
cana-1457	565	29	.	.	PUNCT
cana-1457	566	1	this	this	PRON
cana-1457	566	2	is	be	AUX
cana-1457	566	3	particularly	particularly	ADV
cana-1457	566	4	important	important	ADJ
cana-1457	566	5	in	in	ADP
cana-1457	566	6	iot	iot	ADJ
cana-1457	566	7	applications	application	NOUN
cana-1457	566	8	,	,	PUNCT
cana-1457	566	9	where	where	SCONJ
cana-1457	566	10	data	datum	NOUN
cana-1457	566	11	quality	quality	NOUN
cana-1457	566	12	can	can	AUX
cana-1457	566	13	be	be	AUX
cana-1457	566	14	affected	affect	VERB
cana-1457	566	15	by	by	ADP
cana-1457	566	16	environmental	environmental	ADJ
cana-1457	566	17	factors	factor	NOUN
cana-1457	566	18	or	or	CCONJ
cana-1457	566	19	sensor	sensor	NOUN
cana-1457	566	20	malfunctions	malfunction	NOUN
cana-1457	566	21	.	.	PUNCT
cana-1457	567	1	7.5	7.5	NUM
cana-1457	567	2	limitations	limitation	NOUN
cana-1457	567	3	and	and	CCONJ
cana-1457	567	4	areas	area	NOUN
cana-1457	567	5	for	for	ADP
cana-1457	567	6	future	future	ADJ
cana-1457	567	7	improvement	improvement	NOUN
cana-1457	567	8	while	while	SCONJ
cana-1457	567	9	the	the	DET
cana-1457	567	10	system	system	NOUN
cana-1457	567	11	performed	perform	VERB
cana-1457	567	12	well	well	ADV
cana-1457	567	13	in	in	ADP
cana-1457	567	14	most	most	ADJ
cana-1457	567	15	aspects	aspect	NOUN
cana-1457	567	16	,	,	PUNCT
cana-1457	567	17	there	there	PRON
cana-1457	567	18	are	be	VERB
cana-1457	567	19	several	several	ADJ
cana-1457	567	20	limitations	limitation	NOUN
cana-1457	567	21	that	that	PRON
cana-1457	567	22	must	must	AUX
cana-1457	567	23	be	be	AUX
cana-1457	567	24	addressed	address	VERB
cana-1457	567	25	in	in	ADP
cana-1457	567	26	future	future	ADJ
cana-1457	567	27	work	work	NOUN
cana-1457	567	28	.	.	PUNCT
cana-1457	568	1	one	one	NUM
cana-1457	568	2	limitation	limitation	NOUN
cana-1457	568	3	is	be	AUX
cana-1457	568	4	the	the	DET
cana-1457	568	5	system	system	NOUN
cana-1457	568	6	's	's	PART
cana-1457	568	7	dependence	dependence	NOUN
cana-1457	568	8	on	on	ADP
cana-1457	568	9	continuous	continuous	ADJ
cana-1457	568	10	internet	internet	NOUN
cana-1457	568	11	connectivity	connectivity	NOUN
cana-1457	568	12	.	.	PUNCT
cana-1457	569	1	while	while	SCONJ
cana-1457	569	2	thingspeak	thingspeak	NOUN
cana-1457	569	3	is	be	AUX
cana-1457	569	4	a	a	DET
cana-1457	569	5	powerful	powerful	ADJ
cana-1457	569	6	platform	platform	NOUN
cana-1457	569	7	for	for	ADP
cana-1457	569	8	real	real	ADJ
cana-1457	569	9	-	-	PUNCT
cana-1457	569	10	time	time	NOUN
cana-1457	569	11	data	datum	NOUN
cana-1457	569	12	monitoring	monitoring	NOUN
cana-1457	569	13	,	,	PUNCT
cana-1457	569	14	it	it	PRON
cana-1457	569	15	relies	rely	VERB
cana-1457	569	16	on	on	ADP
cana-1457	569	17	the	the	DET
cana-1457	569	18	availability	availability	NOUN
cana-1457	569	19	of	of	ADP
cana-1457	569	20	an	an	DET
cana-1457	569	21	internet	internet	NOUN
cana-1457	569	22	connection	connection	NOUN
cana-1457	569	23	to	to	PART
cana-1457	569	24	transmit	transmit	VERB
cana-1457	569	25	data	datum	NOUN
cana-1457	569	26	from	from	ADP
cana-1457	569	27	the	the	DET
cana-1457	569	28	sensors	sensor	NOUN
cana-1457	569	29	to	to	ADP
cana-1457	569	30	the	the	DET
cana-1457	569	31	cloud	cloud	NOUN
cana-1457	569	32	.	.	PUNCT
cana-1457	570	1	in	in	ADP
cana-1457	570	2	regions	region	NOUN
cana-1457	570	3	where	where	SCONJ
cana-1457	570	4	internet	internet	NOUN
cana-1457	570	5	connectivity	connectivity	NOUN
cana-1457	570	6	is	be	AUX
cana-1457	570	7	unreliable	unreliable	ADJ
cana-1457	570	8	,	,	PUNCT
cana-1457	570	9	producers	producer	NOUN
cana-1457	570	10	may	may	AUX
cana-1457	570	11	experience	experience	VERB
cana-1457	570	12	delays	delay	NOUN
cana-1457	570	13	in	in	ADP
cana-1457	570	14	receiving	receive	VERB
cana-1457	570	15	real	real	ADJ
cana-1457	570	16	-	-	PUNCT
cana-1457	570	17	time	time	NOUN
cana-1457	570	18	data	datum	NOUN
cana-1457	570	19	or	or	CCONJ
cana-1457	570	20	predictions	prediction	NOUN
cana-1457	570	21	.	.	PUNCT
cana-1457	571	1	future	future	ADJ
cana-1457	571	2	iterations	iteration	NOUN
cana-1457	571	3	of	of	ADP
cana-1457	571	4	this	this	DET
cana-1457	571	5	system	system	NOUN
cana-1457	571	6	could	could	AUX
cana-1457	571	7	incorporate	incorporate	VERB
cana-1457	571	8	edge	edge	NOUN
cana-1457	571	9	computing	computing	NOUN
cana-1457	571	10	,	,	PUNCT
cana-1457	571	11	where	where	SCONJ
cana-1457	571	12	data	datum	NOUN
cana-1457	571	13	is	be	AUX
cana-1457	571	14	processed	process	VERB
cana-1457	571	15	locally	locally	ADV
cana-1457	571	16	on	on	ADP
cana-1457	571	17	the	the	DET
cana-1457	571	18	microcontroller	microcontroller	NOUN
cana-1457	571	19	before	before	ADP
cana-1457	571	20	being	be	AUX
cana-1457	571	21	sent	send	VERB
cana-1457	571	22	to	to	ADP
cana-1457	571	23	the	the	DET
cana-1457	571	24	cloud	cloud	NOUN
cana-1457	571	25	.	.	PUNCT
cana-1457	572	1	this	this	PRON
cana-1457	572	2	would	would	AUX
cana-1457	572	3	reduce	reduce	VERB
cana-1457	572	4	the	the	DET
cana-1457	572	5	system	system	NOUN
cana-1457	572	6	’s	’s	PART
cana-1457	572	7	dependence	dependence	NOUN
cana-1457	572	8	on	on	ADP
cana-1457	572	9	the	the	DET
cana-1457	572	10	internet	internet	NOUN
cana-1457	572	11	and	and	CCONJ
cana-1457	572	12	ensure	ensure	VERB
cana-1457	572	13	that	that	SCONJ
cana-1457	572	14	real	real	ADJ
cana-1457	572	15	-	-	PUNCT
cana-1457	572	16	time	time	NOUN
cana-1457	572	17	feedback	feedback	NOUN
cana-1457	572	18	remains	remain	VERB
cana-1457	572	19	available	available	ADJ
cana-1457	572	20	even	even	ADV
cana-1457	572	21	in	in	ADP
cana-1457	572	22	areas	area	NOUN
cana-1457	572	23	with	with	ADP
cana-1457	572	24	poor	poor	ADJ
cana-1457	572	25	connectivity	connectivity	NOUN
cana-1457	572	26	.	.	PUNCT
cana-1457	573	1	another	another	DET
cana-1457	573	2	potential	potential	ADJ
cana-1457	573	3	area	area	NOUN
cana-1457	573	4	for	for	ADP
cana-1457	573	5	improvement	improvement	NOUN
cana-1457	573	6	is	be	AUX
cana-1457	573	7	the	the	DET
cana-1457	573	8	user	user	NOUN
cana-1457	573	9	interface	interface	NOUN
cana-1457	573	10	of	of	ADP
cana-1457	573	11	the	the	DET
cana-1457	573	12	thingspeak	thingspeak	NOUN
cana-1457	573	13	dashboard	dashboard	NOUN
cana-1457	573	14	.	.	PUNCT
cana-1457	574	1	while	while	SCONJ
cana-1457	574	2	the	the	DET
cana-1457	574	3	platform	platform	NOUN
cana-1457	574	4	provides	provide	VERB
cana-1457	574	5	a	a	DET
cana-1457	574	6	functional	functional	ADJ
cana-1457	574	7	interface	interface	NOUN
cana-1457	574	8	for	for	ADP
cana-1457	574	9	monitoring	monitoring	NOUN
cana-1457	574	10	and	and	CCONJ
cana-1457	574	11	visualization	visualization	NOUN
cana-1457	574	12	,	,	PUNCT
cana-1457	574	13	it	it	PRON
cana-1457	574	14	could	could	AUX
cana-1457	574	15	benefit	benefit	VERB
cana-1457	574	16	from	from	ADP
cana-1457	574	17	further	further	ADJ
cana-1457	574	18	customization	customization	NOUN
cana-1457	574	19	to	to	PART
cana-1457	574	20	meet	meet	VERB
cana-1457	574	21	the	the	DET
cana-1457	574	22	specific	specific	ADJ
cana-1457	574	23	needs	need	NOUN
cana-1457	574	24	of	of	ADP
cana-1457	574	25	tea	tea	NOUN
cana-1457	574	26	producers	producer	NOUN
cana-1457	574	27	.	.	PUNCT
cana-1457	575	1	for	for	ADP
cana-1457	575	2	example	example	NOUN
cana-1457	575	3	,	,	PUNCT
cana-1457	575	4	adding	add	VERB
cana-1457	575	5	more	more	ADV
cana-1457	575	6	advanced	advanced	ADJ
cana-1457	575	7	predictive	predictive	ADJ
cana-1457	575	8	visualizations	visualization	NOUN
cana-1457	575	9	—	—	PUNCT
cana-1457	575	10	such	such	ADJ
cana-1457	575	11	as	as	ADP
cana-1457	575	12	charts	chart	NOUN
cana-1457	575	13	that	that	PRON
cana-1457	575	14	forecast	forecast	VERB
cana-1457	575	15	future	future	ADJ
cana-1457	575	16	environmental	environmental	ADJ
cana-1457	575	17	trends	trend	NOUN
cana-1457	575	18	or	or	CCONJ
cana-1457	575	19	moisture	moisture	NOUN
cana-1457	575	20	content	content	NOUN
cana-1457	575	21	—	—	PUNCT
cana-1457	575	22	could	could	AUX
cana-1457	575	23	enhance	enhance	VERB
cana-1457	575	24	the	the	DET
cana-1457	575	25	decision	decision	NOUN
cana-1457	575	26	-	-	PUNCT
cana-1457	575	27	making	make	VERB
cana-1457	575	28	process	process	NOUN
cana-1457	575	29	.	.	PUNCT
cana-1457	576	1	additionally	additionally	ADV
cana-1457	576	2	,	,	PUNCT
cana-1457	576	3	integrating	integrate	VERB
cana-1457	576	4	mobile	mobile	ADJ
cana-1457	576	5	app	app	NOUN
cana-1457	576	6	functionality	functionality	NOUN
cana-1457	576	7	would	would	AUX
cana-1457	576	8	allow	allow	VERB
cana-1457	576	9	producers	producer	NOUN
cana-1457	576	10	to	to	PART
cana-1457	576	11	monitor	monitor	VERB
cana-1457	576	12	the	the	DET
cana-1457	576	13	system	system	NOUN
cana-1457	576	14	on	on	ADP
cana-1457	576	15	the	the	DET
cana-1457	576	16	go	go	NOUN
cana-1457	576	17	,	,	PUNCT
cana-1457	576	18	providing	provide	VERB
cana-1457	576	19	even	even	ADV
cana-1457	576	20	greater	great	ADJ
cana-1457	576	21	flexibility	flexibility	NOUN
cana-1457	576	22	in	in	ADP
cana-1457	576	23	managing	manage	VERB
cana-1457	576	24	the	the	DET
cana-1457	576	25	withering	wither	VERB
cana-1457	576	26	process	process	NOUN
cana-1457	576	27	.	.	PUNCT
cana-1457	577	1	finally	finally	ADV
cana-1457	577	2	,	,	PUNCT
cana-1457	577	3	while	while	SCONJ
cana-1457	577	4	xgboost	xgboost	ADV
cana-1457	577	5	and	and	CCONJ
cana-1457	577	6	lightgbm	lightgbm	ADJ
cana-1457	577	7	provided	provide	VERB
cana-1457	577	8	accurate	accurate	ADJ
cana-1457	577	9	predictions	prediction	NOUN
cana-1457	577	10	,	,	PUNCT
cana-1457	577	11	exploring	explore	VERB
cana-1457	577	12	other	other	ADJ
cana-1457	577	13	machine	machine	NOUN
cana-1457	577	14	learning	learning	NOUN
cana-1457	577	15	models	model	NOUN
cana-1457	577	16	,	,	PUNCT
cana-1457	577	17	such	such	ADJ
cana-1457	577	18	as	as	ADP
cana-1457	577	19	recurrent	recurrent	ADJ
cana-1457	577	20	neural	neural	ADJ
cana-1457	577	21	networks	network	NOUN
cana-1457	577	22	(	(	PUNCT
cana-1457	577	23	rnns	rnns	PROPN
cana-1457	577	24	)	)	PUNCT
cana-1457	577	25	or	or	CCONJ
cana-1457	577	26	long	long	ADJ
cana-1457	577	27	short	short	ADJ
cana-1457	577	28	-	-	PUNCT
cana-1457	577	29	term	term	NOUN
cana-1457	577	30	memory	memory	NOUN
cana-1457	577	31	(	(	PUNCT
cana-1457	577	32	lstm	lstm	NOUN
cana-1457	577	33	)	)	PUNCT
cana-1457	577	34	networks	network	NOUN
cana-1457	577	35	,	,	PUNCT
cana-1457	577	36	could	could	AUX
cana-1457	577	37	improve	improve	VERB
cana-1457	577	38	the	the	DET
cana-1457	577	39	system	system	NOUN
cana-1457	577	40	's	's	PART
cana-1457	577	41	ability	ability	NOUN
cana-1457	577	42	to	to	PART
cana-1457	577	43	handle	handle	VERB
cana-1457	577	44	time	time	NOUN
cana-1457	577	45	-	-	PUNCT
cana-1457	577	46	series	series	NOUN
cana-1457	577	47	data	datum	NOUN
cana-1457	577	48	.	.	PUNCT
cana-1457	578	1	these	these	DET
cana-1457	578	2	models	model	NOUN
cana-1457	578	3	are	be	AUX
cana-1457	578	4	specifically	specifically	ADV
cana-1457	578	5	designed	design	VERB
cana-1457	578	6	to	to	PART
cana-1457	578	7	capture	capture	VERB
cana-1457	578	8	temporal	temporal	ADJ
cana-1457	578	9	dependencies	dependency	NOUN
cana-1457	578	10	,	,	PUNCT
cana-1457	578	11	which	which	PRON
cana-1457	578	12	may	may	AUX
cana-1457	578	13	further	far	ADV
cana-1457	578	14	enhance	enhance	VERB
cana-1457	578	15	the	the	DET
cana-1457	578	16	accuracy	accuracy	NOUN
cana-1457	578	17	of	of	ADP
cana-1457	578	18	moisture	moisture	NOUN
cana-1457	578	19	content	content	NOUN
cana-1457	578	20	predictions	prediction	NOUN
cana-1457	578	21	over	over	ADP
cana-1457	578	22	time	time	NOUN
cana-1457	578	23	.	.	PUNCT
cana-1457	579	1	6	6	X
cana-1457	579	2	.	.	X
cana-1457	579	3	conclusion	conclusion	NOUN
cana-1457	579	4	this	this	DET
cana-1457	579	5	research	research	NOUN
cana-1457	579	6	has	have	AUX
cana-1457	579	7	demonstrated	demonstrate	VERB
cana-1457	579	8	the	the	DET
cana-1457	579	9	significant	significant	ADJ
cana-1457	579	10	potential	potential	NOUN
cana-1457	579	11	of	of	ADP
cana-1457	579	12	integrating	integrate	VERB
cana-1457	579	13	iot	iot	NOUN
cana-1457	579	14	-	-	PUNCT
cana-1457	579	15	based	base	VERB
cana-1457	579	16	real	real	ADJ
cana-1457	579	17	-	-	PUNCT
cana-1457	579	18	time	time	NOUN
cana-1457	579	19	monitoring	monitoring	NOUN
cana-1457	579	20	and	and	CCONJ
cana-1457	579	21	machine	machine	NOUN
cana-1457	579	22	learning	learning	NOUN
cana-1457	579	23	models	model	NOUN
cana-1457	579	24	to	to	PART
cana-1457	579	25	enhance	enhance	VERB
cana-1457	579	26	the	the	DET
cana-1457	579	27	tea	tea	NOUN
cana-1457	579	28	withering	wither	VERB
cana-1457	579	29	process	process	NOUN
cana-1457	579	30	,	,	PUNCT
cana-1457	579	31	particularly	particularly	ADV
cana-1457	579	32	for	for	ADP
cana-1457	579	33	small	small	ADJ
cana-1457	579	34	-	-	PUNCT
cana-1457	579	35	scale	scale	NOUN
cana-1457	579	36	farmers	farmer	NOUN
cana-1457	579	37	in	in	ADP
cana-1457	579	38	the	the	DET
cana-1457	579	39	nilgiris	nilgiris	PROPN
cana-1457	579	40	district	district	NOUN
cana-1457	579	41	.	.	PUNCT
cana-1457	580	1	by	by	ADP
cana-1457	580	2	leveraging	leverage	VERB
cana-1457	580	3	technologies	technology	NOUN
cana-1457	580	4	such	such	ADJ
cana-1457	580	5	as	as	ADP
cana-1457	580	6	dht22	dht22	VERB
cana-1457	580	7	sensors	sensor	NOUN
cana-1457	580	8	for	for	ADP
cana-1457	580	9	monitoring	monitor	VERB
cana-1457	580	10	temperature	temperature	NOUN
cana-1457	580	11	and	and	CCONJ
cana-1457	580	12	humidity	humidity	NOUN
cana-1457	580	13	,	,	PUNCT
cana-1457	580	14	and	and	CCONJ
cana-1457	580	15	moisture	moisture	VERB
cana-1457	580	16	sensors	sensor	NOUN
cana-1457	580	17	for	for	ADP
cana-1457	580	18	real	real	ADJ
cana-1457	580	19	-	-	PUNCT
cana-1457	580	20	time	time	NOUN
cana-1457	580	21	tracking	tracking	NOUN
cana-1457	580	22	,	,	PUNCT
cana-1457	580	23	the	the	DET
cana-1457	580	24	system	system	NOUN
cana-1457	580	25	enables	enable	VERB
cana-1457	580	26	farmers	farmer	NOUN
cana-1457	580	27	to	to	PART
cana-1457	580	28	maintain	maintain	VERB
cana-1457	580	29	optimal	optimal	ADJ
cana-1457	580	30	environmental	environmental	ADJ
cana-1457	580	31	conditions	condition	NOUN
cana-1457	580	32	during	during	ADP
cana-1457	580	33	withering	wither	VERB
cana-1457	580	34	,	,	PUNCT
cana-1457	580	35	a	a	DET
cana-1457	580	36	critical	critical	ADJ
cana-1457	580	37	stage	stage	NOUN
cana-1457	580	38	in	in	ADP
cana-1457	580	39	tea	tea	NOUN
cana-1457	580	40	production	production	NOUN
cana-1457	580	41	.	.	PUNCT
cana-1457	581	1	through	through	ADP
cana-1457	581	2	the	the	DET
cana-1457	581	3	implementation	implementation	NOUN
cana-1457	581	4	of	of	ADP
cana-1457	581	5	predictive	predictive	ADJ
cana-1457	581	6	models	model	NOUN
cana-1457	581	7	like	like	ADP
cana-1457	581	8	xgboost	xgboost	ADV
cana-1457	581	9	and	and	CCONJ
cana-1457	581	10	lightgbm	lightgbm	ADJ
cana-1457	581	11	,	,	PUNCT
cana-1457	581	12	farmers	farmer	NOUN
cana-1457	581	13	are	be	AUX
cana-1457	581	14	not	not	PART
cana-1457	581	15	only	only	ADV
cana-1457	581	16	able	able	ADJ
cana-1457	581	17	to	to	PART
cana-1457	581	18	monitor	monitor	VERB
cana-1457	581	19	current	current	ADJ
cana-1457	581	20	conditions	condition	NOUN
cana-1457	581	21	but	but	CCONJ
cana-1457	581	22	also	also	ADV
cana-1457	581	23	forecast	forecast	VERB
cana-1457	581	24	future	future	ADJ
cana-1457	581	25	moisture	moisture	NOUN
cana-1457	581	26	levels	level	NOUN
cana-1457	581	27	,	,	PUNCT
cana-1457	581	28	empowering	empower	VERB
cana-1457	581	29	them	they	PRON
cana-1457	581	30	to	to	PART
cana-1457	581	31	make	make	VERB
cana-1457	581	32	timely	timely	ADJ
cana-1457	581	33	adjustments	adjustment	NOUN
cana-1457	581	34	to	to	PART
cana-1457	581	35	ensure	ensure	VERB
cana-1457	581	36	consistent	consistent	ADJ
cana-1457	581	37	tea	tea	NOUN
cana-1457	581	38	quality	quality	NOUN
cana-1457	581	39	.	.	PUNCT
cana-1457	582	1	this	this	DET
cana-1457	582	2	integration	integration	NOUN
cana-1457	582	3	of	of	ADP
cana-1457	582	4	technology	technology	NOUN
cana-1457	582	5	into	into	ADP
cana-1457	582	6	traditional	traditional	ADJ
cana-1457	582	7	tea	tea	NOUN
cana-1457	582	8	processing	processing	NOUN
cana-1457	582	9	has	have	VERB
cana-1457	582	10	the	the	DET
cana-1457	582	11	potential	potential	NOUN
cana-1457	582	12	to	to	PART
cana-1457	582	13	significantly	significantly	ADV
cana-1457	582	14	improve	improve	VERB
cana-1457	582	15	both	both	DET
cana-1457	582	16	the	the	DET
cana-1457	582	17	quality	quality	NOUN
cana-1457	582	18	of	of	ADP
cana-1457	582	19	the	the	DET
cana-1457	582	20	tea	tea	NOUN
cana-1457	582	21	and	and	CCONJ
cana-1457	582	22	the	the	DET
cana-1457	582	23	income	income	NOUN
cana-1457	582	24	stability	stability	NOUN
cana-1457	582	25	of	of	ADP
cana-1457	582	26	small	small	ADJ
cana-1457	582	27	farmers	farmer	NOUN
cana-1457	582	28	in	in	ADP
cana-1457	582	29	the	the	DET
cana-1457	582	30	region	region	NOUN
cana-1457	582	31	.	.	PUNCT
cana-1457	583	1	communications	communication	NOUN
cana-1457	583	2	on	on	ADP
cana-1457	583	3	applied	apply	VERB
cana-1457	583	4	nonlinear	nonlinear	ADJ
cana-1457	583	5	analysis	analysis	NOUN
cana-1457	583	6	issn	issn	NOUN
cana-1457	583	7	:	:	PUNCT
cana-1457	583	8	1074	1074	NUM
cana-1457	583	9	-	-	PUNCT
cana-1457	583	10	133x	133x	NUM
cana-1457	583	11	vol	vol	NOUN
cana-1457	583	12	31	31	NUM
cana-1457	583	13	no	no	NOUN
cana-1457	583	14	.	.	PUNCT
cana-1457	584	1	8s	8s	PROPN
cana-1457	584	2	(	(	PUNCT
cana-1457	584	3	2024	2024	NUM
cana-1457	584	4	)	)	PUNCT
cana-1457	584	5	85	85	NUM
cana-1457	584	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	584	7	the	the	DET
cana-1457	584	8	broader	broad	ADJ
cana-1457	584	9	impact	impact	NOUN
cana-1457	584	10	of	of	ADP
cana-1457	584	11	this	this	DET
cana-1457	584	12	research	research	NOUN
cana-1457	584	13	lies	lie	VERB
cana-1457	584	14	in	in	ADP
cana-1457	584	15	its	its	PRON
cana-1457	584	16	ability	ability	NOUN
cana-1457	584	17	to	to	PART
cana-1457	584	18	provide	provide	VERB
cana-1457	584	19	small	small	ADJ
cana-1457	584	20	farmers	farmer	NOUN
cana-1457	584	21	with	with	ADP
cana-1457	584	22	cost	cost	NOUN
cana-1457	584	23	-	-	PUNCT
cana-1457	584	24	effective	effective	ADJ
cana-1457	584	25	,	,	PUNCT
cana-1457	584	26	scalable	scalable	ADJ
cana-1457	584	27	,	,	PUNCT
cana-1457	584	28	and	and	CCONJ
cana-1457	584	29	easy	easy	ADJ
cana-1457	584	30	-	-	PUNCT
cana-1457	584	31	to	to	ADP
cana-1457	584	32	-	-	PUNCT
cana-1457	584	33	use	use	NOUN
cana-1457	584	34	solutions	solution	NOUN
cana-1457	584	35	that	that	PRON
cana-1457	584	36	address	address	VERB
cana-1457	584	37	long	long	ADV
cana-1457	584	38	-	-	PUNCT
cana-1457	584	39	standing	stand	VERB
cana-1457	584	40	challenges	challenge	NOUN
cana-1457	584	41	such	such	ADJ
cana-1457	584	42	as	as	ADP
cana-1457	584	43	unpredictable	unpredictable	ADJ
cana-1457	584	44	weather	weather	NOUN
cana-1457	584	45	patterns	pattern	NOUN
cana-1457	584	46	,	,	PUNCT
cana-1457	584	47	fluctuating	fluctuate	VERB
cana-1457	584	48	market	market	NOUN
cana-1457	584	49	prices	price	NOUN
cana-1457	584	50	,	,	PUNCT
cana-1457	584	51	and	and	CCONJ
cana-1457	584	52	inconsistent	inconsistent	ADJ
cana-1457	584	53	tea	tea	NOUN
cana-1457	584	54	quality	quality	NOUN
cana-1457	584	55	.	.	PUNCT
cana-1457	585	1	by	by	ADP
cana-1457	585	2	helping	help	VERB
cana-1457	585	3	farmers	farmer	NOUN
cana-1457	585	4	optimize	optimize	VERB
cana-1457	585	5	their	their	PRON
cana-1457	585	6	processes	process	NOUN
cana-1457	585	7	and	and	CCONJ
cana-1457	585	8	improve	improve	VERB
cana-1457	585	9	the	the	DET
cana-1457	585	10	quality	quality	NOUN
cana-1457	585	11	of	of	ADP
cana-1457	585	12	their	their	PRON
cana-1457	585	13	tea	tea	NOUN
cana-1457	585	14	leaves	leave	NOUN
cana-1457	585	15	,	,	PUNCT
cana-1457	585	16	this	this	DET
cana-1457	585	17	research	research	NOUN
cana-1457	585	18	directly	directly	ADV
cana-1457	585	19	contributes	contribute	VERB
cana-1457	585	20	to	to	ADP
cana-1457	585	21	enhancing	enhance	VERB
cana-1457	585	22	their	their	PRON
cana-1457	585	23	economic	economic	ADJ
cana-1457	585	24	stability	stability	NOUN
cana-1457	585	25	and	and	CCONJ
cana-1457	585	26	overall	overall	ADJ
cana-1457	585	27	livelihood	livelihood	NOUN
cana-1457	585	28	.	.	PUNCT
cana-1457	586	1	moreover	moreover	ADV
cana-1457	586	2	,	,	PUNCT
cana-1457	586	3	this	this	DET
cana-1457	586	4	system	system	NOUN
cana-1457	586	5	promotes	promote	VERB
cana-1457	586	6	sustainable	sustainable	ADJ
cana-1457	586	7	agriculture	agriculture	NOUN
cana-1457	586	8	by	by	ADP
cana-1457	586	9	enabling	enable	VERB
cana-1457	586	10	more	more	ADV
cana-1457	586	11	efficient	efficient	ADJ
cana-1457	586	12	resource	resource	NOUN
cana-1457	586	13	usage	usage	NOUN
cana-1457	586	14	,	,	PUNCT
cana-1457	586	15	reducing	reduce	VERB
cana-1457	586	16	waste	waste	NOUN
cana-1457	586	17	,	,	PUNCT
cana-1457	586	18	and	and	CCONJ
cana-1457	586	19	minimizing	minimize	VERB
cana-1457	586	20	energy	energy	NOUN
cana-1457	586	21	consumption	consumption	NOUN
cana-1457	586	22	during	during	ADP
cana-1457	586	23	the	the	DET
cana-1457	586	24	withering	wither	VERB
cana-1457	586	25	process	process	NOUN
cana-1457	586	26	.	.	PUNCT
cana-1457	587	1	ultimately	ultimately	ADV
cana-1457	587	2	,	,	PUNCT
cana-1457	587	3	this	this	DET
cana-1457	587	4	research	research	NOUN
cana-1457	587	5	offers	offer	VERB
cana-1457	587	6	a	a	DET
cana-1457	587	7	practical	practical	ADJ
cana-1457	587	8	pathway	pathway	NOUN
cana-1457	587	9	for	for	ADP
cana-1457	587	10	small	small	ADJ
cana-1457	587	11	farmers	farmer	NOUN
cana-1457	587	12	in	in	ADP
cana-1457	587	13	the	the	DET
cana-1457	587	14	nilgiris	nilgiris	NOUN
cana-1457	587	15	to	to	PART
cana-1457	587	16	adopt	adopt	VERB
cana-1457	587	17	modern	modern	ADJ
cana-1457	587	18	technology	technology	NOUN
cana-1457	587	19	,	,	PUNCT
cana-1457	587	20	compete	compete	VERB
cana-1457	587	21	more	more	ADV
cana-1457	587	22	effectively	effectively	ADV
cana-1457	587	23	in	in	ADP
cana-1457	587	24	the	the	DET
cana-1457	587	25	global	global	ADJ
cana-1457	587	26	tea	tea	NOUN
cana-1457	587	27	market	market	NOUN
cana-1457	587	28	,	,	PUNCT
cana-1457	587	29	and	and	CCONJ
cana-1457	587	30	secure	secure	VERB
cana-1457	587	31	a	a	DET
cana-1457	587	32	better	well	ADJ
cana-1457	587	33	,	,	PUNCT
cana-1457	587	34	more	more	ADV
cana-1457	587	35	sustainable	sustainable	ADJ
cana-1457	587	36	future	future	NOUN
cana-1457	587	37	for	for	ADP
cana-1457	587	38	their	their	PRON
cana-1457	587	39	communities	community	NOUN
cana-1457	587	40	.	.	PUNCT
cana-1457	588	1	refrences	refrence	VERB
cana-1457	589	1	[	[	X
cana-1457	589	2	1	1	X
cana-1457	589	3	]	]	X
cana-1457	589	4	kumar	kumar	PROPN
cana-1457	589	5	,	,	PUNCT
cana-1457	589	6	abhishek	abhishek	PROPN
cana-1457	589	7	,	,	PUNCT
cana-1457	589	8	swagatam	swagatam	PROPN
cana-1457	589	9	bose	bose	PROPN
cana-1457	589	10	choudhury	choudhury	PROPN
cana-1457	589	11	,	,	PUNCT
cana-1457	589	12	sanket	sanket	NOUN
cana-1457	589	13	junagade	junagade	PROPN
cana-1457	589	14	,	,	PUNCT
cana-1457	589	15	sanat	sanat	PROPN
cana-1457	589	16	sarangi	sarangi	PROPN
cana-1457	589	17	,	,	PUNCT
cana-1457	589	18	dineshkumar	dineshkumar	PROPN
cana-1457	589	19	singh	singh	PROPN
cana-1457	589	20	,	,	PUNCT
cana-1457	589	21	and	and	CCONJ
cana-1457	589	22	srinivasu	srinivasu	PROPN
cana-1457	589	23	pappula	pappula	PROPN
cana-1457	589	24	.	.	PUNCT
cana-1457	590	1	"	"	PUNCT
cana-1457	590	2	towards	towards	ADP
cana-1457	590	3	precision	precision	NOUN
cana-1457	590	4	withering	wither	VERB
cana-1457	590	5	in	in	ADP
cana-1457	590	6	tea	tea	NOUN
cana-1457	590	7	factories	factory	NOUN
cana-1457	590	8	with	with	ADP
cana-1457	590	9	non	non	ADJ
cana-1457	590	10	-	-	ADJ
cana-1457	590	11	invasive	invasive	ADJ
cana-1457	590	12	leaf	leaf	NOUN
cana-1457	590	13	moisture	moisture	NOUN
cana-1457	590	14	estimation	estimation	NOUN
cana-1457	590	15	.	.	PUNCT
cana-1457	590	16	"	"	PUNCT
cana-1457	591	1	in	in	ADP
cana-1457	591	2	2024	2024	NUM
cana-1457	591	3	16th	16th	ADJ
cana-1457	591	4	international	international	ADJ
cana-1457	591	5	conference	conference	NOUN
cana-1457	591	6	on	on	ADP
cana-1457	591	7	communication	communication	NOUN
cana-1457	591	8	systems	system	NOUN
cana-1457	591	9	&	&	CCONJ
cana-1457	591	10	networks	network	NOUN
cana-1457	591	11	(	(	PUNCT
cana-1457	591	12	comsnets	comsnet	NOUN
cana-1457	591	13	)	)	PUNCT
cana-1457	591	14	,	,	PUNCT
cana-1457	591	15	pp	pp	ADJ
cana-1457	591	16	.	.	PUNCT
cana-1457	591	17	177	177	NUM
cana-1457	591	18	-	-	SYM
cana-1457	591	19	182	182	NUM
cana-1457	591	20	.	.	PUNCT
cana-1457	591	21	ieee	ieee	NOUN
cana-1457	591	22	,	,	PUNCT
cana-1457	591	23	2024	2024	NUM
cana-1457	591	24	.	.	PUNCT
cana-1457	592	1	[	[	X
cana-1457	592	2	2	2	NUM
cana-1457	592	3	]	]	SYM
cana-1457	592	4	mansingh	mansingh	NOUN
cana-1457	592	5	,	,	PUNCT
cana-1457	592	6	pallavi	pallavi	VERB
cana-1457	592	7	,	,	PUNCT
cana-1457	592	8	and	and	CCONJ
cana-1457	592	9	liby	liby	PROPN
cana-1457	592	10	johnson	johnson	PROPN
cana-1457	592	11	.	.	PUNCT
cana-1457	593	1	"	"	PUNCT
cana-1457	593	2	comparative	comparative	ADJ
cana-1457	593	3	analysis	analysis	NOUN
cana-1457	593	4	of	of	ADP
cana-1457	593	5	existing	exist	VERB
cana-1457	593	6	models	model	NOUN
cana-1457	593	7	of	of	ADP
cana-1457	593	8	small	small	ADJ
cana-1457	593	9	tea	tea	NOUN
cana-1457	593	10	growers	grower	NOUN
cana-1457	593	11	in	in	ADP
cana-1457	593	12	tea	tea	NOUN
cana-1457	593	13	value	value	NOUN
cana-1457	593	14	chain	chain	NOUN
cana-1457	593	15	in	in	ADP
cana-1457	593	16	the	the	DET
cana-1457	593	17	nilgiris	nilgiris	NOUN
cana-1457	593	18	.	.	PUNCT
cana-1457	593	19	"	"	PUNCT
cana-1457	594	1	(	(	PUNCT
cana-1457	594	2	2021	2021	NUM
cana-1457	594	3	)	)	PUNCT
cana-1457	594	4	.	.	PUNCT
cana-1457	595	1	[	[	X
cana-1457	595	2	3	3	X
cana-1457	595	3	]	]	X
cana-1457	595	4	an	an	PRON
cana-1457	595	5	,	,	PUNCT
cana-1457	595	6	ting	ting	PROPN
cana-1457	595	7	,	,	PUNCT
cana-1457	595	8	siyao	siyao	PROPN
cana-1457	595	9	yu	yu	PROPN
cana-1457	595	10	,	,	PUNCT
cana-1457	595	11	wenqian	wenqian	PROPN
cana-1457	595	12	huang	huang	PROPN
cana-1457	595	13	,	,	PUNCT
cana-1457	595	14	guanglin	guanglin	PROPN
cana-1457	595	15	li	li	PROPN
cana-1457	595	16	,	,	PUNCT
cana-1457	595	17	xi	xi	PROPN
cana-1457	595	18	tian	tian	PROPN
cana-1457	595	19	,	,	PUNCT
cana-1457	595	20	shuxiang	shuxiang	PROPN
cana-1457	595	21	fan	fan	PROPN
cana-1457	595	22	,	,	PUNCT
cana-1457	595	23	chunwang	chunwang	PROPN
cana-1457	595	24	dong	dong	PROPN
cana-1457	595	25	,	,	PUNCT
cana-1457	595	26	and	and	CCONJ
cana-1457	595	27	chunjiang	chunjiang	PROPN
cana-1457	595	28	zhao	zhao	PROPN
cana-1457	595	29	.	.	PUNCT
cana-1457	596	1	"	"	PUNCT
cana-1457	596	2	robustness	robustness	NOUN
cana-1457	596	3	and	and	CCONJ
cana-1457	596	4	accuracy	accuracy	NOUN
cana-1457	596	5	evaluation	evaluation	NOUN
cana-1457	596	6	of	of	ADP
cana-1457	596	7	moisture	moisture	NOUN
cana-1457	596	8	prediction	prediction	NOUN
cana-1457	596	9	model	model	NOUN
cana-1457	596	10	for	for	ADP
cana-1457	596	11	black	black	ADJ
cana-1457	596	12	tea	tea	NOUN
cana-1457	596	13	withering	wither	VERB
cana-1457	596	14	process	process	NOUN
cana-1457	596	15	using	use	VERB
cana-1457	596	16	hyperspectral	hyperspectral	ADJ
cana-1457	596	17	imaging	imaging	NOUN
cana-1457	596	18	.	.	PUNCT
cana-1457	596	19	"	"	PUNCT
cana-1457	597	1	spectrochimica	spectrochimica	PROPN
cana-1457	597	2	acta	acta	PROPN
cana-1457	597	3	part	part	NOUN
cana-1457	597	4	a	a	DET
cana-1457	597	5	:	:	PUNCT
cana-1457	597	6	molecular	molecular	ADJ
cana-1457	597	7	and	and	CCONJ
cana-1457	597	8	biomolecular	biomolecular	ADJ
cana-1457	597	9	spectroscopy	spectroscopy	VERB
cana-1457	597	10	269	269	NUM
cana-1457	597	11	(	(	PUNCT
cana-1457	597	12	2022	2022	NUM
cana-1457	597	13	):	):	PUNCT
cana-1457	597	14	120791	120791	NUM
cana-1457	597	15	.	.	PUNCT
cana-1457	598	1	[	[	X
cana-1457	598	2	4	4	NUM
cana-1457	598	3	]	]	X
cana-1457	598	4	nemeth	nemeth	PROPN
cana-1457	598	5	,	,	PUNCT
cana-1457	598	6	martin	martin	PROPN
cana-1457	598	7	,	,	PUNCT
cana-1457	598	8	dmitrii	dmitrii	ADJ
cana-1457	598	9	borkin	borkin	NOUN
cana-1457	598	10	,	,	PUNCT
cana-1457	598	11	and	and	CCONJ
cana-1457	598	12	german	german	ADJ
cana-1457	598	13	michalconok	michalconok	NOUN
cana-1457	598	14	.	.	PUNCT
cana-1457	599	1	"	"	PUNCT
cana-1457	599	2	the	the	DET
cana-1457	599	3	comparison	comparison	NOUN
cana-1457	599	4	of	of	ADP
cana-1457	599	5	machine	machine	NOUN
cana-1457	599	6	-	-	PUNCT
cana-1457	599	7	learning	learn	VERB
cana-1457	599	8	methods	method	NOUN
cana-1457	599	9	xgboost	xgboost	ADV
cana-1457	599	10	and	and	CCONJ
cana-1457	599	11	lightgbm	lightgbm	VERB
cana-1457	599	12	to	to	PART
cana-1457	599	13	predict	predict	VERB
cana-1457	599	14	energy	energy	NOUN
cana-1457	599	15	development	development	NOUN
cana-1457	599	16	.	.	PUNCT
cana-1457	599	17	"	"	PUNCT
cana-1457	599	18	in	in	ADP
cana-1457	599	19	computational	computational	ADJ
cana-1457	599	20	statistics	statistic	NOUN
cana-1457	599	21	and	and	CCONJ
cana-1457	599	22	mathematical	mathematical	ADJ
cana-1457	599	23	modeling	modeling	NOUN
cana-1457	599	24	methods	method	NOUN
cana-1457	599	25	in	in	ADP
cana-1457	599	26	intelligent	intelligent	ADJ
cana-1457	599	27	systems	system	NOUN
cana-1457	599	28	:	:	PUNCT
cana-1457	599	29	proceedings	proceeding	NOUN
cana-1457	599	30	of	of	ADP
cana-1457	599	31	3rd	3rd	ADJ
cana-1457	599	32	computational	computational	ADJ
cana-1457	599	33	methods	method	NOUN
cana-1457	599	34	in	in	ADP
cana-1457	599	35	systems	system	NOUN
cana-1457	599	36	and	and	CCONJ
cana-1457	599	37	software	software	NOUN
cana-1457	599	38	2019	2019	NUM
cana-1457	599	39	,	,	PUNCT
cana-1457	599	40	vol	vol	NOUN
cana-1457	599	41	.	.	NOUN
cana-1457	599	42	2	2	NUM
cana-1457	599	43	3	3	NUM
cana-1457	599	44	,	,	PUNCT
cana-1457	599	45	pp	pp	ADJ
cana-1457	599	46	.	.	PUNCT
cana-1457	600	1	208	208	NUM
cana-1457	600	2	-	-	SYM
cana-1457	600	3	215	215	NUM
cana-1457	600	4	.	.	PUNCT
cana-1457	601	1	springer	springer	NOUN
cana-1457	601	2	international	international	ADJ
cana-1457	601	3	publishing	publishing	NOUN
cana-1457	601	4	,	,	PUNCT
cana-1457	601	5	2019	2019	NUM
cana-1457	601	6	.	.	PUNCT
cana-1457	602	1	[	[	X
cana-1457	602	2	5	5	NUM
cana-1457	602	3	]	]	X
cana-1457	602	4	giusto	giusto	PROPN
cana-1457	602	5	,	,	PUNCT
cana-1457	602	6	edoardo	edoardo	PROPN
cana-1457	602	7	,	,	PUNCT
cana-1457	602	8	filippo	filippo	PROPN
cana-1457	602	9	gandino	gandino	PROPN
cana-1457	602	10	,	,	PUNCT
cana-1457	602	11	michele	michele	PROPN
cana-1457	602	12	luigi	luigi	PROPN
cana-1457	602	13	greco	greco	PROPN
cana-1457	602	14	,	,	PUNCT
cana-1457	602	15	michelangelo	michelangelo	PROPN
cana-1457	602	16	grosso	grosso	PROPN
cana-1457	602	17	,	,	PUNCT
cana-1457	602	18	bartolomeo	bartolomeo	NOUN
cana-1457	602	19	montrucchio	montrucchio	PROPN
cana-1457	602	20	,	,	PUNCT
cana-1457	602	21	and	and	CCONJ
cana-1457	602	22	salvatore	salvatore	PROPN
cana-1457	602	23	rinaudo	rinaudo	PROPN
cana-1457	602	24	.	.	PUNCT
cana-1457	603	1	"	"	PUNCT
cana-1457	603	2	an	an	DET
cana-1457	603	3	investigation	investigation	NOUN
cana-1457	603	4	on	on	ADP
cana-1457	603	5	pervasive	pervasive	ADJ
cana-1457	603	6	technologies	technology	NOUN
cana-1457	603	7	for	for	ADP
cana-1457	603	8	iot	iot	NOUN
cana-1457	603	9	-	-	PUNCT
cana-1457	603	10	based	base	VERB
cana-1457	603	11	thermal	thermal	ADJ
cana-1457	603	12	monitoring	monitoring	NOUN
cana-1457	603	13	.	.	PUNCT
cana-1457	603	14	"	"	PUNCT
cana-1457	603	15	sensors	sensor	NOUN
cana-1457	603	16	19	19	NUM
cana-1457	603	17	,	,	PUNCT
cana-1457	603	18	no	no	INTJ
cana-1457	603	19	.	.	NOUN
cana-1457	603	20	3	3	NUM
cana-1457	603	21	(	(	PUNCT
cana-1457	603	22	2019	2019	NUM
cana-1457	603	23	):	):	PUNCT
cana-1457	603	24	663	663	NUM
cana-1457	603	25	.	.	PUNCT
cana-1457	604	1	[	[	X
cana-1457	604	2	6	6	NUM
cana-1457	604	3	]	]	X
cana-1457	604	4	zhang	zhang	PROPN
cana-1457	604	5	,	,	PUNCT
cana-1457	604	6	dongyang	dongyang	PROPN
cana-1457	604	7	,	,	PUNCT
cana-1457	604	8	and	and	CCONJ
cana-1457	604	9	yicheng	yicheng	PROPN
cana-1457	604	10	gong	gong	PROPN
cana-1457	604	11	.	.	PUNCT
cana-1457	605	1	"	"	PUNCT
cana-1457	605	2	the	the	DET
cana-1457	605	3	comparison	comparison	NOUN
cana-1457	605	4	of	of	ADP
cana-1457	605	5	lightgbm	lightgbm	ADJ
cana-1457	605	6	and	and	CCONJ
cana-1457	605	7	xgboost	xgboost	ADV
cana-1457	605	8	coupling	couple	VERB
cana-1457	605	9	factor	factor	NOUN
cana-1457	605	10	analysis	analysis	NOUN
cana-1457	605	11	and	and	CCONJ
cana-1457	605	12	prediagnosis	prediagnosis	NOUN
cana-1457	605	13	of	of	ADP
cana-1457	605	14	acute	acute	ADJ
cana-1457	605	15	liver	liver	NOUN
cana-1457	605	16	failure	failure	NOUN
cana-1457	605	17	.	.	PUNCT
cana-1457	605	18	"	"	PUNCT
cana-1457	606	1	ieee	ieee	NOUN
cana-1457	606	2	access	access	NOUN
cana-1457	606	3	8	8	NUM
cana-1457	606	4	(	(	PUNCT
cana-1457	606	5	2020	2020	NUM
cana-1457	606	6	):	):	PUNCT
cana-1457	606	7	220990	220990	NUM
cana-1457	606	8	-	-	SYM
cana-1457	606	9	221003	221003	NUM
cana-1457	606	10	.	.	PUNCT
cana-1457	607	1	[	[	X
cana-1457	607	2	7	7	NUM
cana-1457	607	3	]	]	X
cana-1457	607	4	song	song	NOUN
cana-1457	607	5	,	,	PUNCT
cana-1457	607	6	yingying	yingying	PROPN
cana-1457	607	7	,	,	PUNCT
cana-1457	607	8	xueli	xueli	PROPN
cana-1457	607	9	jiao	jiao	PROPN
cana-1457	607	10	,	,	PUNCT
cana-1457	607	11	yuheng	yuheng	PROPN
cana-1457	607	12	qiao	qiao	PROPN
cana-1457	607	13	,	,	PUNCT
cana-1457	607	14	xinrui	xinrui	PROPN
cana-1457	607	15	liu	liu	PROPN
cana-1457	607	16	,	,	PUNCT
cana-1457	607	17	yiding	yiding	PROPN
cana-1457	607	18	qiang	qiang	PROPN
cana-1457	607	19	,	,	PUNCT
cana-1457	607	20	zhiyong	zhiyong	PROPN
cana-1457	607	21	liu	liu	PROPN
cana-1457	607	22	,	,	PUNCT
cana-1457	607	23	and	and	CCONJ
cana-1457	607	24	lin	lin	PROPN
cana-1457	607	25	zhang	zhang	PROPN
cana-1457	607	26	.	.	PUNCT
cana-1457	608	1	"	"	PUNCT
cana-1457	608	2	prediction	prediction	NOUN
cana-1457	608	3	of	of	ADP
cana-1457	608	4	double	double	ADJ
cana-1457	608	5	-	-	PUNCT
cana-1457	608	6	high	high	ADJ
cana-1457	608	7	biochemical	biochemical	ADJ
cana-1457	608	8	indicators	indicator	NOUN
cana-1457	608	9	based	base	VERB
cana-1457	608	10	on	on	ADP
cana-1457	608	11	lightgbm	lightgbm	ADJ
cana-1457	608	12	and	and	CCONJ
cana-1457	608	13	xgboost	xgboost	NOUN
cana-1457	608	14	.	.	PUNCT
cana-1457	608	15	"	"	PUNCT
cana-1457	609	1	in	in	ADP
cana-1457	609	2	proceedings	proceeding	NOUN
cana-1457	609	3	of	of	ADP
cana-1457	609	4	the	the	DET
cana-1457	609	5	2019	2019	NUM
cana-1457	609	6	international	international	ADJ
cana-1457	609	7	conference	conference	NOUN
cana-1457	609	8	on	on	ADP
cana-1457	609	9	artificial	artificial	ADJ
cana-1457	609	10	intelligence	intelligence	NOUN
cana-1457	609	11	and	and	CCONJ
cana-1457	609	12	computer	computer	NOUN
cana-1457	609	13	science	science	NOUN
cana-1457	609	14	,	,	PUNCT
cana-1457	609	15	pp	pp	ADP
cana-1457	609	16	.	.	PUNCT
cana-1457	610	1	189	189	NUM
cana-1457	610	2	-	-	SYM
cana-1457	610	3	193	193	NUM
cana-1457	610	4	.	.	PUNCT
cana-1457	611	1	2019	2019	NUM
cana-1457	611	2	.	.	PUNCT
cana-1457	612	1	[	[	X
cana-1457	612	2	8	8	NUM
cana-1457	612	3	]	]	SYM
cana-1457	612	4	mao	mao	PROPN
cana-1457	612	5	,	,	PUNCT
cana-1457	612	6	yilin	yilin	PROPN
cana-1457	612	7	,	,	PUNCT
cana-1457	612	8	he	he	PRON
cana-1457	612	9	li	li	PROPN
cana-1457	612	10	,	,	PUNCT
cana-1457	612	11	yu	yu	PROPN
cana-1457	612	12	wang	wang	PROPN
cana-1457	612	13	,	,	PUNCT
cana-1457	612	14	kai	kai	PROPN
cana-1457	612	15	fan	fan	PROPN
cana-1457	612	16	,	,	PUNCT
cana-1457	612	17	yujie	yujie	PROPN
cana-1457	612	18	song	song	NOUN
cana-1457	612	19	,	,	PUNCT
cana-1457	612	20	xiao	xiao	PROPN
cana-1457	612	21	han	han	PROPN
cana-1457	612	22	,	,	PUNCT
cana-1457	612	23	jie	jie	PROPN
cana-1457	612	24	zhang	zhang	PROPN
cana-1457	612	25	et	et	PROPN
cana-1457	612	26	al	al	PROPN
cana-1457	612	27	.	.	PUNCT
cana-1457	613	1	"	"	PUNCT
cana-1457	613	2	prediction	prediction	NOUN
cana-1457	613	3	of	of	ADP
cana-1457	613	4	tea	tea	NOUN
cana-1457	613	5	polyphenols	polyphenol	NOUN
cana-1457	613	6	,	,	PUNCT
cana-1457	613	7	free	free	ADJ
cana-1457	613	8	amino	amino	NOUN
cana-1457	613	9	acids	acid	NOUN
cana-1457	613	10	and	and	CCONJ
cana-1457	613	11	caffeine	caffeine	NOUN
cana-1457	613	12	content	content	NOUN
cana-1457	613	13	in	in	ADP
cana-1457	613	14	tea	tea	NOUN
cana-1457	613	15	leaves	leave	NOUN
cana-1457	613	16	during	during	ADP
cana-1457	613	17	wilting	wilting	NOUN
cana-1457	613	18	and	and	CCONJ
cana-1457	613	19	fermentation	fermentation	NOUN
cana-1457	613	20	using	use	VERB
cana-1457	613	21	hyperspectral	hyperspectral	ADJ
cana-1457	613	22	imaging	imaging	NOUN
cana-1457	613	23	.	.	PUNCT
cana-1457	613	24	"	"	PUNCT
cana-1457	614	1	foods	food	NOUN
cana-1457	614	2	11	11	NUM
cana-1457	614	3	,	,	PUNCT
cana-1457	614	4	no	no	INTJ
cana-1457	614	5	.	.	NOUN
cana-1457	614	6	16	16	NUM
cana-1457	614	7	(	(	PUNCT
cana-1457	614	8	2022	2022	NUM
cana-1457	614	9	):	):	PUNCT
cana-1457	614	10	2537	2537	NUM
cana-1457	614	11	.	.	PUNCT
cana-1457	615	1	[	[	X
cana-1457	615	2	9	9	NUM
cana-1457	615	3	]	]	X
cana-1457	615	4	wang	wang	PROPN
cana-1457	615	5	,	,	PUNCT
cana-1457	615	6	ruiqing	ruiqing	NOUN
cana-1457	615	7	,	,	PUNCT
cana-1457	615	8	jinlei	jinlei	PROPN
cana-1457	615	9	feng	feng	PROPN
cana-1457	615	10	,	,	PUNCT
cana-1457	615	11	wu	wu	PROPN
cana-1457	615	12	zhang	zhang	PROPN
cana-1457	615	13	,	,	PUNCT
cana-1457	615	14	bo	bo	PROPN
cana-1457	615	15	liu	liu	PROPN
cana-1457	615	16	,	,	PUNCT
cana-1457	615	17	tao	tao	PROPN
cana-1457	615	18	wang	wang	PROPN
cana-1457	615	19	,	,	PUNCT
cana-1457	615	20	chenlu	chenlu	PROPN
cana-1457	615	21	zhang	zhang	PROPN
cana-1457	615	22	,	,	PUNCT
cana-1457	615	23	shaoxiang	shaoxiang	PROPN
cana-1457	615	24	xu	xu	PROPN
cana-1457	615	25	et	et	PROPN
cana-1457	615	26	al	al	PROPN
cana-1457	615	27	.	.	PUNCT
cana-1457	616	1	"	"	PUNCT
cana-1457	616	2	detection	detection	NOUN
cana-1457	616	3	and	and	CCONJ
cana-1457	616	4	correction	correction	NOUN
cana-1457	616	5	of	of	ADP
cana-1457	616	6	abnormal	abnormal	ADJ
cana-1457	616	7	iot	iot	NOUN
cana-1457	616	8	data	datum	NOUN
cana-1457	616	9	from	from	ADP
cana-1457	616	10	tea	tea	NOUN
cana-1457	616	11	plantations	plantation	NOUN
cana-1457	616	12	based	base	VERB
cana-1457	616	13	on	on	ADP
cana-1457	616	14	deep	deep	ADJ
cana-1457	616	15	learning	learning	NOUN
cana-1457	616	16	.	.	PUNCT
cana-1457	616	17	"	"	PUNCT
cana-1457	617	1	agriculture	agriculture	NOUN
cana-1457	617	2	13	13	NUM
cana-1457	617	3	,	,	PUNCT
cana-1457	617	4	no	no	INTJ
cana-1457	617	5	.	.	NOUN
cana-1457	617	6	2	2	NUM
cana-1457	617	7	(	(	PUNCT
cana-1457	617	8	2023	2023	NUM
cana-1457	617	9	):	):	PUNCT
cana-1457	617	10	480	480	NUM
cana-1457	617	11	.	.	PUNCT
cana-1457	618	1	[	[	X
cana-1457	618	2	10	10	NUM
cana-1457	618	3	]	]	X
cana-1457	618	4	wang	wang	PROPN
cana-1457	618	5	,	,	PUNCT
cana-1457	618	6	huajia	huajia	PROPN
cana-1457	618	7	,	,	PUNCT
cana-1457	618	8	jinan	jinan	PROPN
cana-1457	618	9	gu	gu	PROPN
cana-1457	618	10	,	,	PUNCT
cana-1457	618	11	and	and	CCONJ
cana-1457	618	12	mengni	mengni	VERB
cana-1457	618	13	wang	wang	PROPN
cana-1457	618	14	.	.	PUNCT
cana-1457	619	1	"	"	PUNCT
cana-1457	619	2	a	a	DET
cana-1457	619	3	review	review	NOUN
cana-1457	619	4	on	on	ADP
cana-1457	619	5	the	the	DET
cana-1457	619	6	application	application	NOUN
cana-1457	619	7	of	of	ADP
cana-1457	619	8	computer	computer	NOUN
cana-1457	619	9	vision	vision	NOUN
cana-1457	619	10	and	and	CCONJ
cana-1457	619	11	machine	machine	NOUN
cana-1457	619	12	learning	learning	NOUN
cana-1457	619	13	in	in	ADP
cana-1457	619	14	the	the	DET
cana-1457	619	15	tea	tea	NOUN
cana-1457	619	16	industry	industry	NOUN
cana-1457	619	17	.	.	PUNCT
cana-1457	619	18	"	"	PUNCT
cana-1457	620	1	frontiers	frontier	NOUN
cana-1457	620	2	in	in	ADP
cana-1457	620	3	sustainable	sustainable	ADJ
cana-1457	620	4	food	food	NOUN
cana-1457	620	5	systems	system	NOUN
cana-1457	620	6	7	7	NUM
cana-1457	620	7	(	(	PUNCT
cana-1457	620	8	2023	2023	NUM
cana-1457	620	9	):	):	PUNCT
cana-1457	620	10	1172543	1172543	NUM
cana-1457	620	11	.	.	PUNCT
cana-1457	621	1	[	[	X
cana-1457	621	2	11	11	NUM
cana-1457	621	3	]	]	X
cana-1457	621	4	zou	zou	PROPN
cana-1457	621	5	,	,	PUNCT
cana-1457	621	6	hanting	hanting	NOUN
cana-1457	621	7	,	,	PUNCT
cana-1457	621	8	shuai	shuai	PROPN
cana-1457	621	9	shen	shen	PROPN
cana-1457	621	10	,	,	PUNCT
cana-1457	621	11	tianmeng	tianmeng	PROPN
cana-1457	621	12	lan	lan	PROPN
cana-1457	621	13	,	,	PUNCT
cana-1457	621	14	xufeng	xufeng	PROPN
cana-1457	621	15	sheng	sheng	PROPN
cana-1457	621	16	,	,	PUNCT
cana-1457	621	17	jiezhong	jiezhong	PROPN
cana-1457	621	18	zan	zan	PROPN
cana-1457	621	19	,	,	PUNCT
cana-1457	621	20	yongwen	yongwen	PROPN
cana-1457	621	21	jiang	jiang	PROPN
cana-1457	621	22	,	,	PUNCT
cana-1457	621	23	qizhen	qizhen	ADV
cana-1457	621	24	du	du	PROPN
cana-1457	621	25	,	,	PUNCT
cana-1457	621	26	and	and	CCONJ
cana-1457	621	27	haibo	haibo	PROPN
cana-1457	621	28	yuan	yuan	NOUN
cana-1457	621	29	.	.	PUNCT
cana-1457	622	1	"	"	PUNCT
cana-1457	622	2	prediction	prediction	NOUN
cana-1457	622	3	method	method	NOUN
cana-1457	622	4	of	of	ADP
cana-1457	622	5	the	the	DET
cana-1457	622	6	moisture	moisture	NOUN
cana-1457	622	7	content	content	NOUN
cana-1457	622	8	of	of	ADP
cana-1457	622	9	black	black	ADJ
cana-1457	622	10	tea	tea	NOUN
cana-1457	622	11	during	during	ADP
cana-1457	622	12	processing	processing	NOUN
cana-1457	622	13	based	base	VERB
cana-1457	622	14	on	on	ADP
cana-1457	622	15	the	the	DET
cana-1457	622	16	miniaturized	miniaturize	VERB
cana-1457	622	17	near	near	ADV
cana-1457	622	18	-	-	PUNCT
cana-1457	622	19	infrared	infrared	ADJ
cana-1457	622	20	spectrometer	spectrometer	NOUN
cana-1457	622	21	.	.	PUNCT
cana-1457	622	22	"	"	PUNCT
cana-1457	623	1	horticulturae	horticulturae	PROPN
cana-1457	623	2	8	8	NUM
cana-1457	623	3	,	,	PUNCT
cana-1457	623	4	no	no	INTJ
cana-1457	623	5	.	.	NOUN
cana-1457	623	6	12	12	NUM
cana-1457	623	7	(	(	PUNCT
cana-1457	623	8	2022	2022	NUM
cana-1457	623	9	):	):	PUNCT
cana-1457	623	10	1170	1170	NUM
cana-1457	623	11	.	.	PUNCT
cana-1457	624	1	[	[	X
cana-1457	624	2	12	12	NUM
cana-1457	624	3	]	]	PUNCT
cana-1457	624	4	ahmed	ahmed	PROPN
cana-1457	624	5	,	,	PUNCT
cana-1457	624	6	faruk	faruk	PROPN
cana-1457	624	7	,	,	PUNCT
cana-1457	624	8	md	md	PROPN
cana-1457	624	9	taimur	taimur	PROPN
cana-1457	624	10	ahad	ahad	PROPN
cana-1457	624	11	,	,	PUNCT
cana-1457	624	12	and	and	CCONJ
cana-1457	624	13	yousuf	yousuf	PROPN
cana-1457	624	14	rayhan	rayhan	PROPN
cana-1457	624	15	emon	emon	PROPN
cana-1457	624	16	.	.	PUNCT
cana-1457	625	1	"	"	PUNCT
cana-1457	625	2	machine	machine	NOUN
cana-1457	625	3	learning	learning	NOUN
cana-1457	625	4	-	-	PUNCT
cana-1457	625	5	based	base	VERB
cana-1457	625	6	tea	tea	NOUN
cana-1457	625	7	leaf	leaf	NOUN
cana-1457	625	8	disease	disease	NOUN
cana-1457	625	9	detection	detection	NOUN
cana-1457	625	10	:	:	PUNCT
cana-1457	625	11	a	a	DET
cana-1457	625	12	comprehensive	comprehensive	ADJ
cana-1457	625	13	review	review	NOUN
cana-1457	625	14	.	.	PUNCT
cana-1457	625	15	"	"	PUNCT
cana-1457	626	1	arxiv	arxiv	PROPN
cana-1457	626	2	preprint	preprint	NOUN
cana-1457	626	3	arxiv:2311.03240(2023	arxiv:2311.03240(2023	NOUN
cana-1457	626	4	)	)	PUNCT
cana-1457	626	5	.	.	PUNCT
cana-1457	627	1	[	[	X
cana-1457	627	2	13	13	NUM
cana-1457	627	3	]	]	PUNCT
cana-1457	627	4	euismod	euismod	NOUN
cana-1457	627	5	in	in	ADP
cana-1457	627	6	pellentesque	pellentesque	ADJ
cana-1457	627	7	massa	massa	PROPN
cana-1457	627	8	placerat	placerat	NOUN
cana-1457	627	9	.	.	PUNCT
cana-1457	628	1	morbi	morbi	NOUN
cana-1457	628	2	non	non	PROPN
cana-1457	629	1	arcu	arcu	PROPN
cana-1457	629	2	risus	risus	PROPN
cana-1457	629	3	quis	quis	PROPN
cana-1457	629	4	varius	varius	PROPN
cana-1457	629	5	quam	quam	PROPN
cana-1457	629	6	quisque	quisque	PROPN
cana-1457	629	7	.	.	PUNCT
cana-1457	630	1	communications	communication	NOUN
cana-1457	630	2	on	on	ADP
cana-1457	630	3	applied	apply	VERB
cana-1457	630	4	nonlinear	nonlinear	ADJ
cana-1457	630	5	analysis	analysis	NOUN
cana-1457	630	6	issn	issn	NOUN
cana-1457	630	7	:	:	PUNCT
cana-1457	630	8	1074	1074	NUM
cana-1457	630	9	-	-	PUNCT
cana-1457	630	10	133x	133x	NUM
cana-1457	630	11	vol	vol	NOUN
cana-1457	630	12	31	31	NUM
cana-1457	630	13	no	no	NOUN
cana-1457	630	14	.	.	PUNCT
cana-1457	631	1	8s	8s	PROPN
cana-1457	631	2	(	(	PUNCT
cana-1457	631	3	2024	2024	NUM
cana-1457	631	4	)	)	PUNCT
cana-1457	631	5	86	86	NUM
cana-1457	631	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1457	632	1	[	[	X
cana-1457	632	2	14	14	NUM
cana-1457	632	3	]	]	SYM
cana-1457	632	4	ramzan	ramzan	PROPN
cana-1457	632	5	,	,	PUNCT
cana-1457	632	6	zeeshan	zeeshan	PROPN
cana-1457	632	7	,	,	PUNCT
cana-1457	632	8	hm	hm	PROPN
cana-1457	632	9	shahzad	shahzad	PROPN
cana-1457	632	10	asif	asif	PROPN
cana-1457	632	11	,	,	PUNCT
cana-1457	632	12	irfan	irfan	PROPN
cana-1457	632	13	yousuf	yousuf	PROPN
cana-1457	632	14	,	,	PUNCT
cana-1457	632	15	and	and	CCONJ
cana-1457	632	16	muhammad	muhammad	PROPN
cana-1457	632	17	shahbaz	shahbaz	PROPN
cana-1457	632	18	.	.	PUNCT
cana-1457	633	1	"	"	PUNCT
cana-1457	633	2	a	a	DET
cana-1457	633	3	multimodal	multimodal	ADJ
cana-1457	633	4	data	datum	NOUN
cana-1457	633	5	fusion	fusion	NOUN
cana-1457	633	6	and	and	CCONJ
cana-1457	633	7	deep	deep	ADJ
cana-1457	633	8	neural	neural	ADJ
cana-1457	633	9	networks	network	NOUN
cana-1457	633	10	based	base	VERB
cana-1457	633	11	technique	technique	NOUN
cana-1457	633	12	for	for	ADP
cana-1457	633	13	tea	tea	NOUN
cana-1457	633	14	yield	yield	NOUN
cana-1457	633	15	estimation	estimation	NOUN
cana-1457	633	16	in	in	ADP
cana-1457	633	17	pakistan	pakistan	PROPN
cana-1457	633	18	using	use	VERB
cana-1457	633	19	satellite	satellite	NOUN
cana-1457	633	20	imagery	imagery	NOUN
cana-1457	633	21	.	.	PUNCT
cana-1457	633	22	"	"	PUNCT
cana-1457	634	1	ieee	ieee	NOUN
cana-1457	634	2	access	access	NOUN
cana-1457	634	3	11	11	NUM
cana-1457	634	4	(	(	PUNCT
cana-1457	634	5	2023	2023	NUM
cana-1457	634	6	):	):	PUNCT
cana-1457	634	7	42578	42578	NUM
cana-1457	634	8	-	-	SYM
cana-1457	634	9	42594	42594	NUM
cana-1457	634	10	.	.	PUNCT
cana-1457	635	1	[	[	X
cana-1457	635	2	15	15	NUM
cana-1457	635	3	]	]	X
cana-1457	635	4	wu	wu	PROPN
cana-1457	635	5	,	,	PUNCT
cana-1457	635	6	huiting	huiting	NOUN
cana-1457	635	7	,	,	PUNCT
cana-1457	635	8	yuyu	yuyu	PROPN
cana-1457	635	9	chen	chen	PROPN
cana-1457	635	10	,	,	PUNCT
cana-1457	635	11	wanzhen	wanzhen	ADJ
cana-1457	635	12	feng	feng	PROPN
cana-1457	635	13	,	,	PUNCT
cana-1457	635	14	shanshan	shanshan	PROPN
cana-1457	635	15	shen	shen	PROPN
cana-1457	635	16	,	,	PUNCT
cana-1457	635	17	yuming	yuming	PROPN
cana-1457	635	18	wei	wei	PROPN
cana-1457	635	19	,	,	PUNCT
cana-1457	635	20	huiyan	huiyan	PROPN
cana-1457	635	21	jia	jia	PROPN
cana-1457	635	22	,	,	PUNCT
cana-1457	635	23	yujie	yujie	PROPN
cana-1457	635	24	wang	wang	PROPN
cana-1457	635	25	,	,	PUNCT
cana-1457	635	26	weiwei	weiwei	PROPN
cana-1457	635	27	deng	deng	PROPN
cana-1457	635	28	,	,	PUNCT
cana-1457	635	29	and	and	CCONJ
cana-1457	635	30	jingming	jingme	VERB
cana-1457	635	31	ning	ning	NOUN
cana-1457	635	32	.	.	PUNCT
cana-1457	636	1	"	"	PUNCT
cana-1457	636	2	effects	effect	NOUN
cana-1457	636	3	of	of	ADP
cana-1457	636	4	three	three	NUM
cana-1457	636	5	different	different	ADJ
cana-1457	636	6	withering	wither	VERB
cana-1457	636	7	treatments	treatment	NOUN
cana-1457	636	8	on	on	ADP
cana-1457	636	9	the	the	DET
cana-1457	636	10	aroma	aroma	NOUN
cana-1457	636	11	of	of	ADP
cana-1457	636	12	white	white	ADJ
cana-1457	636	13	tea	tea	NOUN
cana-1457	636	14	.	.	PUNCT
cana-1457	636	15	"	"	PUNCT
cana-1457	637	1	foods	food	NOUN
cana-1457	637	2	11	11	NUM
cana-1457	637	3	,	,	PUNCT
cana-1457	637	4	no	no	INTJ
cana-1457	637	5	.	.	NOUN
cana-1457	637	6	16	16	NUM
cana-1457	637	7	(	(	PUNCT
cana-1457	637	8	2022	2022	NUM
cana-1457	637	9	):	):	PUNCT
cana-1457	637	10	2502	2502	NUM
cana-1457	637	11	.	.	PUNCT
cana-1457	638	1	[	[	X
cana-1457	638	2	16	16	NUM
cana-1457	638	3	]	]	PUNCT
cana-1457	638	4	vithanage	vithanage	NOUN
cana-1457	638	5	,	,	PUNCT
cana-1457	638	6	j.	j.	PROPN
cana-1457	638	7	h.	h.	PROPN
cana-1457	638	8	p.	p.	PROPN
cana-1457	638	9	,	,	PUNCT
cana-1457	638	10	s.	s.	PROPN
cana-1457	638	11	r.	r.	PROPN
cana-1457	638	12	salwathura	salwathura	PROPN
cana-1457	638	13	,	,	PUNCT
cana-1457	638	14	wickramasinghe	wickramasinghe	NOUN
cana-1457	638	15	dkgti	dkgti	NOUN
cana-1457	638	16	,	,	PUNCT
cana-1457	638	17	suriya	suriya	PROPN
cana-1457	638	18	kumari	kumari	PROPN
cana-1457	638	19	,	,	PUNCT
cana-1457	638	20	and	and	CCONJ
cana-1457	638	21	uthpala	uthpala	PROPN
cana-1457	638	22	samarakoon	samarakoon	NOUN
cana-1457	638	23	.	.	PUNCT
cana-1457	639	1	"	"	PUNCT
cana-1457	639	2	smart	smart	ADJ
cana-1457	639	3	tea	tea	NOUN
cana-1457	639	4	:	:	PUNCT
cana-1457	639	5	churn	churn	NOUN
cana-1457	639	6	,	,	PUNCT
cana-1457	639	7	trend	trend	NOUN
cana-1457	639	8	,	,	PUNCT
cana-1457	639	9	inventory	inventory	NOUN
cana-1457	639	10	and	and	CCONJ
cana-1457	639	11	sales	sale	NOUN
cana-1457	639	12	prediction	prediction	NOUN
cana-1457	639	13	system	system	NOUN
cana-1457	639	14	using	use	VERB
cana-1457	639	15	machine	machine	NOUN
cana-1457	639	16	learning	learning	NOUN
cana-1457	639	17	.	.	PUNCT
cana-1457	639	18	"	"	PUNCT
cana-1457	640	1	international	international	ADJ
cana-1457	640	2	research	research	NOUN
cana-1457	640	3	journal	journal	NOUN
cana-1457	640	4	of	of	ADP
cana-1457	640	5	innovations	innovation	NOUN
cana-1457	640	6	in	in	ADP
cana-1457	640	7	engineering	engineering	NOUN
cana-1457	640	8	and	and	CCONJ
cana-1457	640	9	technology	technology	NOUN
cana-1457	640	10	7	7	NUM
cana-1457	640	11	,	,	PUNCT
cana-1457	640	12	no	no	INTJ
cana-1457	640	13	.	.	NOUN
cana-1457	640	14	11	11	NUM
cana-1457	640	15	(	(	PUNCT
cana-1457	640	16	2023	2023	NUM
cana-1457	640	17	):	):	PUNCT
cana-1457	640	18	453	453	NUM
cana-1457	640	19	.	.	PUNCT