id	sid	tid	token	lemma	pos
cana-2684	1	1	communications	communication	NOUN
cana-2684	1	2	on	on	ADP
cana-2684	1	3	applied	apply	VERB
cana-2684	1	4	nonlinear	nonlinear	ADJ
cana-2684	1	5	analysis	analysis	NOUN
cana-2684	1	6	issn	issn	NOUN
cana-2684	1	7	:	:	PUNCT
cana-2684	1	8	1074	1074	NUM
cana-2684	1	9	-	-	PUNCT
cana-2684	1	10	133x	133x	NUM
cana-2684	1	11	vol	vol	NOUN
cana-2684	1	12	32	32	NUM
cana-2684	1	13	no	no	NOUN
cana-2684	1	14	.	.	PUNCT
cana-2684	2	1	3s	3s	NUM
cana-2684	2	2	(	(	PUNCT
cana-2684	2	3	2025	2025	NUM
cana-2684	2	4	)	)	PUNCT
cana-2684	2	5	469	469	NUM
cana-2684	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	2	7	ai	ai	VERB
cana-2684	2	8	in	in	ADP
cana-2684	2	9	agriculture	agriculture	NOUN
cana-2684	2	10	:	:	PUNCT
cana-2684	2	11	precision	precision	NOUN
cana-2684	2	12	farming	farming	NOUN
cana-2684	2	13	and	and	CCONJ
cana-2684	2	14	crop	crop	NOUN
cana-2684	2	15	monitoring	monitor	VERB
cana-2684	2	16	dr	dr	PROPN
cana-2684	2	17	.	.	PROPN
cana-2684	2	18	kamatchi	kamatchi	PROPN
cana-2684	2	19	sundravadivelu1	sundravadivelu1	PROPN
cana-2684	2	20	,	,	PUNCT
cana-2684	2	21	shyamala	shyamala	NOUN
cana-2684	2	22	p2	p2	PROPN
cana-2684	2	23	,	,	PUNCT
cana-2684	2	24	dr	dr	PROPN
cana-2684	2	25	.	.	PROPN
cana-2684	2	26	santosh	santosh	PROPN
cana-2684	2	27	kumar3	kumar3	PROPN
cana-2684	2	28	,	,	PUNCT
cana-2684	3	1	dr	dr	PROPN
cana-2684	3	2	.	.	PROPN
cana-2684	3	3	l.	l.	PROPN
cana-2684	3	4	kartheesan4	kartheesan4	PROPN
cana-2684	3	5	,	,	PUNCT
cana-2684	3	6	chiranjit	chiranjit	ADJ
cana-2684	3	7	dutta5	dutta5	PROPN
cana-2684	3	8	1assistant	1assistant	NUM
cana-2684	3	9	professor	professor	NOUN
cana-2684	3	10	,	,	PUNCT
cana-2684	3	11	computer	computer	NOUN
cana-2684	3	12	science	science	NOUN
cana-2684	3	13	,	,	PUNCT
cana-2684	3	14	madurai	madurai	NOUN
cana-2684	3	15	kamaraj	kamaraj	ADJ
cana-2684	3	16	university	university	NOUN
cana-2684	3	17	,	,	PUNCT
cana-2684	3	18	madurai	madurai	NOUN
cana-2684	3	19	,	,	PUNCT
cana-2684	3	20	tamil	tamil	PROPN
cana-2684	3	21	nadu	nadu	NOUN
cana-2684	3	22	,	,	PUNCT
cana-2684	3	23	mail	mail	NOUN
cana-2684	3	24	i	i	NOUN
cana-2684	3	25	d	d	NOUN
cana-2684	3	26	:	:	PUNCT
cana-2684	3	27	svadivelu2021@gmail.co	svadivelu2021@gmail.co	PROPN
cana-2684	3	28	2assistant	2assistant	NUM
cana-2684	3	29	professor	professor	NOUN
cana-2684	3	30	,	,	PUNCT
cana-2684	3	31	panimalar	panimalar	ADJ
cana-2684	3	32	engineering	engineering	NOUN
cana-2684	3	33	college	college	NOUN
cana-2684	3	34	,	,	PUNCT
cana-2684	3	35	poonamallee	poonamallee	PROPN
cana-2684	3	36	,	,	PUNCT
cana-2684	3	37	chennai	chennai	VERB
cana-2684	3	38	600	600	NUM
cana-2684	3	39	123	123	NUM
cana-2684	3	40	.	.	PUNCT
cana-2684	4	1	email	email	NOUN
cana-2684	4	2	:	:	PUNCT
cana-2684	4	3	pshyamala.aug@gmail.com	pshyamala.aug@gmail.com	X
cana-2684	5	1	3professor	3professor	NUM
cana-2684	5	2	,	,	PUNCT
cana-2684	5	3	department	department	NOUN
cana-2684	5	4	of	of	ADP
cana-2684	5	5	computer	computer	NOUN
cana-2684	5	6	science	science	PROPN
cana-2684	5	7	,	,	PUNCT
cana-2684	5	8	era	era	NOUN
cana-2684	5	9	university	university	NOUN
cana-2684	5	10	,	,	PUNCT
cana-2684	5	11	lucknow	lucknow	PROPN
cana-2684	5	12	,	,	PUNCT
cana-2684	5	13	uttar	uttar	PROPN
cana-2684	5	14	pradesh	pradesh	PROPN
cana-2684	5	15	,	,	PUNCT
cana-2684	5	16	email	email	NOUN
cana-2684	5	17	i	i	PROPN
cana-2684	5	18	d	d	PROPN
cana-2684	5	19	–	–	PUNCT
cana-2684	5	20	dr.santoshkumarresearch@gmail.com	dr.santoshkumarresearch@gmail.com	PROPN
cana-2684	5	21	4asst	4asst	PROPN
cana-2684	5	22	professor(sg	professor(sg	PROPN
cana-2684	5	23	)	)	PUNCT
cana-2684	5	24	department	department	NOUN
cana-2684	5	25	of	of	ADP
cana-2684	5	26	computer	computer	NOUN
cana-2684	5	27	science	science	NOUN
cana-2684	5	28	and	and	CCONJ
cana-2684	5	29	engineering	engineering	NOUN
cana-2684	5	30	,	,	PUNCT
cana-2684	5	31	vel	vel	PROPN
cana-2684	5	32	tech	tech	NOUN
cana-2684	5	33	rangarajan	rangarajan	NOUN
cana-2684	5	34	dr.sagunthala	dr.sagunthala	NOUN
cana-2684	5	35	r&d	r&d	PROPN
cana-2684	5	36	institute	institute	PROPN
cana-2684	5	37	of	of	ADP
cana-2684	5	38	science	science	NOUN
cana-2684	5	39	and	and	CCONJ
cana-2684	5	40	technology	technology	NOUN
cana-2684	5	41	,	,	PUNCT
cana-2684	5	42	avadi	avadi	NOUN
cana-2684	5	43	,	,	PUNCT
cana-2684	5	44	chennai	chennai	NOUN
cana-2684	5	45	,	,	PUNCT
cana-2684	5	46	tamilnadu	tamilnadu	NOUN
cana-2684	6	1	karthee.cse@gmail.com	karthee.cse@gmail.com	PROPN
cana-2684	6	2	5designation	5designation	NUM
cana-2684	6	3	:	:	PUNCT
cana-2684	6	4	associate	associate	NOUN
cana-2684	6	5	professor	professor	NOUN
cana-2684	6	6	,	,	PUNCT
cana-2684	6	7	computer	computer	NOUN
cana-2684	6	8	science	science	NOUN
cana-2684	6	9	and	and	CCONJ
cana-2684	6	10	engineering	engineering	NOUN
cana-2684	6	11	,	,	PUNCT
cana-2684	6	12	srm	srm	PROPN
cana-2684	6	13	institute	institute	PROPN
cana-2684	6	14	of	of	ADP
cana-2684	6	15	science	science	NOUN
cana-2684	6	16	and	and	CCONJ
cana-2684	6	17	technology	technology	NOUN
cana-2684	6	18	,	,	PUNCT
cana-2684	6	19	delhincr	delhincr	ADJ
cana-2684	6	20	campus	campus	NOUN
cana-2684	6	21	,	,	PUNCT
cana-2684	6	22	ghaziabad	ghaziabad	PROPN
cana-2684	6	23	,	,	PUNCT
cana-2684	6	24	uttar	uttar	PROPN
cana-2684	6	25	pradesh	pradesh	PROPN
cana-2684	6	26	.	.	PUNCT
cana-2684	7	1	email	email	NOUN
cana-2684	8	1	i	i	PROPN
cana-2684	8	2	d	d	PROPN
cana-2684	8	3	:	:	PUNCT
cana-2684	8	4	cse.chiranjit@gmail.com	cse.chiranjit@gmail.com	PROPN
cana-2684	8	5	article	article	NOUN
cana-2684	8	6	history	history	NOUN
cana-2684	8	7	:	:	PUNCT
cana-2684	8	8	received	receive	VERB
cana-2684	8	9	:	:	PUNCT
cana-2684	8	10	25	25	NUM
cana-2684	8	11	-	-	PUNCT
cana-2684	8	12	09	09	NUM
cana-2684	8	13	-	-	PUNCT
cana-2684	8	14	2024	2024	NUM
cana-2684	8	15	revised	revise	VERB
cana-2684	8	16	:	:	PUNCT
cana-2684	8	17	05	05	NUM
cana-2684	8	18	-	-	SYM
cana-2684	8	19	11	11	NUM
cana-2684	8	20	-	-	PUNCT
cana-2684	8	21	2024	2024	NUM
cana-2684	8	22	accepted	accept	VERB
cana-2684	8	23	:	:	PUNCT
cana-2684	8	24	25	25	NUM
cana-2684	8	25	-	-	SYM
cana-2684	8	26	11	11	NUM
cana-2684	8	27	-	-	PUNCT
cana-2684	8	28	2024	2024	NUM
cana-2684	8	29	abstract	abstract	NOUN
cana-2684	8	30	:	:	PUNCT
cana-2684	8	31	this	this	DET
cana-2684	8	32	research	research	NOUN
cana-2684	8	33	delves	delve	VERB
cana-2684	8	34	into	into	ADP
cana-2684	8	35	the	the	DET
cana-2684	8	36	application	application	NOUN
cana-2684	8	37	of	of	ADP
cana-2684	8	38	artificial	artificial	ADJ
cana-2684	8	39	intelligence	intelligence	NOUN
cana-2684	8	40	in	in	ADP
cana-2684	8	41	precision	precision	NOUN
cana-2684	8	42	farming	farming	NOUN
cana-2684	8	43	and	and	CCONJ
cana-2684	8	44	crop	crop	NOUN
cana-2684	8	45	monitoring	monitoring	NOUN
cana-2684	8	46	,	,	PUNCT
cana-2684	8	47	focusing	focus	VERB
cana-2684	8	48	on	on	ADP
cana-2684	8	49	four	four	NUM
cana-2684	8	50	ai	ai	ADJ
cana-2684	8	51	algorithms	algorithm	NOUN
cana-2684	8	52	:	:	PUNCT
cana-2684	8	53	“	"	PUNCT
cana-2684	8	54	support	support	NOUN
cana-2684	8	55	vector	vector	NOUN
cana-2684	8	56	machine	machine	NOUN
cana-2684	8	57	(	(	PUNCT
cana-2684	8	58	svm	svm	PROPN
cana-2684	8	59	)	)	PUNCT
cana-2684	8	60	,	,	PUNCT
cana-2684	8	61	random	random	ADJ
cana-2684	8	62	forest	forest	NOUN
cana-2684	8	63	(	(	PUNCT
cana-2684	8	64	rf	rf	NOUN
cana-2684	8	65	)	)	PUNCT
cana-2684	8	66	,	,	PUNCT
cana-2684	8	67	convolutional	convolutional	ADJ
cana-2684	8	68	neural	neural	ADJ
cana-2684	8	69	networks	network	NOUN
cana-2684	8	70	(	(	PUNCT
cana-2684	8	71	cnn	cnn	PROPN
cana-2684	8	72	)	)	PUNCT
cana-2684	8	73	,	,	PUNCT
cana-2684	8	74	and	and	CCONJ
cana-2684	8	75	k	k	X
cana-2684	8	76	-	-	PUNCT
cana-2684	8	77	nearest	near	ADJ
cana-2684	8	78	neighbors	neighbor	NOUN
cana-2684	8	79	(	(	PUNCT
cana-2684	8	80	knn	knn	PROPN
cana-2684	8	81	)	)	PUNCT
cana-2684	8	82	”	"	PUNCT
cana-2684	8	83	.	.	PUNCT
cana-2684	9	1	the	the	DET
cana-2684	9	2	objective	objective	NOUN
cana-2684	9	3	of	of	ADP
cana-2684	9	4	improving	improve	VERB
cana-2684	9	5	crop	crop	NOUN
cana-2684	9	6	disease	disease	NOUN
cana-2684	9	7	detection	detection	NOUN
cana-2684	9	8	accuracy	accuracy	NOUN
cana-2684	9	9	and	and	CCONJ
cana-2684	9	10	prediction	prediction	NOUN
cana-2684	9	11	efficiency	efficiency	NOUN
cana-2684	9	12	,	,	PUNCT
cana-2684	9	13	along	along	ADP
cana-2684	9	14	with	with	ADP
cana-2684	9	15	yield	yield	NOUN
cana-2684	9	16	prediction	prediction	NOUN
cana-2684	9	17	and	and	CCONJ
cana-2684	9	18	resource	resource	NOUN
cana-2684	9	19	optimization	optimization	NOUN
cana-2684	9	20	,	,	PUNCT
cana-2684	9	21	is	be	AUX
cana-2684	9	22	targeted	target	VERB
cana-2684	9	23	.	.	PUNCT
cana-2684	10	1	the	the	DET
cana-2684	10	2	models	model	NOUN
cana-2684	10	3	were	be	AUX
cana-2684	10	4	trained	train	VERB
cana-2684	10	5	to	to	PART
cana-2684	10	6	predict	predict	VERB
cana-2684	10	7	crop	crop	NOUN
cana-2684	10	8	health	health	NOUN
cana-2684	10	9	and	and	CCONJ
cana-2684	10	10	optimize	optimize	VERB
cana-2684	10	11	agricultural	agricultural	ADJ
cana-2684	10	12	practices	practice	NOUN
cana-2684	10	13	,	,	PUNCT
cana-2684	10	14	using	use	VERB
cana-2684	10	15	a	a	DET
cana-2684	10	16	dataset	dataset	NOUN
cana-2684	10	17	of	of	ADP
cana-2684	10	18	crop	crop	NOUN
cana-2684	10	19	images	image	NOUN
cana-2684	10	20	and	and	CCONJ
cana-2684	10	21	environmental	environmental	ADJ
cana-2684	10	22	data	datum	NOUN
cana-2684	10	23	.	.	PUNCT
cana-2684	11	1	for	for	ADP
cana-2684	11	2	the	the	DET
cana-2684	11	3	test	test	NOUN
cana-2684	11	4	result	result	NOUN
cana-2684	11	5	,	,	PUNCT
cana-2684	11	6	cnn	cnn	PROPN
cana-2684	11	7	took	take	VERB
cana-2684	11	8	the	the	DET
cana-2684	11	9	leads	lead	NOUN
cana-2684	11	10	with	with	ADP
cana-2684	11	11	an	an	DET
cana-2684	11	12	accuracy	accuracy	NOUN
cana-2684	11	13	of	of	ADP
cana-2684	11	14	92.5	92.5	NUM
cana-2684	11	15	%	%	NOUN
cana-2684	11	16	in	in	ADP
cana-2684	11	17	disease	disease	NOUN
cana-2684	11	18	detection	detection	NOUN
cana-2684	11	19	,	,	PUNCT
cana-2684	11	20	followed	follow	VERB
cana-2684	11	21	by	by	ADP
cana-2684	11	22	rf	rf	VERB
cana-2684	11	23	with	with	ADP
cana-2684	11	24	an	an	DET
cana-2684	11	25	accuracy	accuracy	NOUN
cana-2684	11	26	of	of	ADP
cana-2684	11	27	89.3	89.3	NUM
cana-2684	11	28	%	%	NOUN
cana-2684	11	29	,	,	PUNCT
cana-2684	11	30	svm	svm	VERB
cana-2684	11	31	with	with	ADP
cana-2684	11	32	an	an	DET
cana-2684	11	33	accuracy	accuracy	NOUN
cana-2684	11	34	of	of	ADP
cana-2684	11	35	86.7	86.7	NUM
cana-2684	11	36	%	%	NOUN
cana-2684	11	37	,	,	PUNCT
cana-2684	11	38	and	and	CCONJ
cana-2684	11	39	knn	knn	VERB
cana-2684	11	40	with	with	ADP
cana-2684	11	41	an	an	DET
cana-2684	11	42	accuracy	accuracy	NOUN
cana-2684	11	43	of	of	ADP
cana-2684	11	44	81.5	81.5	NUM
cana-2684	11	45	%	%	NOUN
cana-2684	11	46	.	.	PUNCT
cana-2684	12	1	additionally	additionally	ADV
cana-2684	12	2	,	,	PUNCT
cana-2684	12	3	crop	crop	NOUN
cana-2684	12	4	yield	yield	NOUN
cana-2684	12	5	prediction	prediction	NOUN
cana-2684	12	6	using	use	VERB
cana-2684	12	7	a	a	DET
cana-2684	12	8	hybrid	hybrid	NOUN
cana-2684	12	9	ai	ai	NOUN
cana-2684	12	10	model	model	NOUN
cana-2684	12	11	incorporating	incorporate	VERB
cana-2684	12	12	meteorological	meteorological	ADJ
cana-2684	12	13	and	and	CCONJ
cana-2684	12	14	soil	soil	NOUN
cana-2684	12	15	data	datum	NOUN
cana-2684	12	16	showed	show	VERB
cana-2684	12	17	an	an	DET
cana-2684	12	18	r	r	NOUN
cana-2684	12	19	-	-	PUNCT
cana-2684	12	20	squared	square	VERB
cana-2684	12	21	value	value	NOUN
cana-2684	12	22	of	of	ADP
cana-2684	12	23	0.88	0.88	NUM
cana-2684	12	24	,	,	PUNCT
cana-2684	12	25	demonstrating	demonstrate	VERB
cana-2684	12	26	strong	strong	ADJ
cana-2684	12	27	prediction	prediction	NOUN
cana-2684	12	28	capabilities	capability	NOUN
cana-2684	12	29	.	.	PUNCT
cana-2684	13	1	the	the	DET
cana-2684	13	2	integration	integration	NOUN
cana-2684	13	3	of	of	ADP
cana-2684	13	4	ai	ai	VERB
cana-2684	13	5	with	with	ADP
cana-2684	13	6	uavs	uavs	NOUN
cana-2684	13	7	and	and	CCONJ
cana-2684	13	8	remote	remote	ADJ
cana-2684	13	9	sensing	sensing	NOUN
cana-2684	13	10	technologies	technology	NOUN
cana-2684	13	11	allowed	allow	VERB
cana-2684	13	12	for	for	ADP
cana-2684	13	13	real	real	ADJ
cana-2684	13	14	-	-	PUNCT
cana-2684	13	15	time	time	NOUN
cana-2684	13	16	monitoring	monitoring	NOUN
cana-2684	13	17	of	of	ADP
cana-2684	13	18	crops	crop	NOUN
cana-2684	13	19	,	,	PUNCT
cana-2684	13	20	providing	provide	VERB
cana-2684	13	21	farmers	farmer	NOUN
cana-2684	13	22	with	with	ADP
cana-2684	13	23	actionable	actionable	ADJ
cana-2684	13	24	insights	insight	NOUN
cana-2684	13	25	to	to	PART
cana-2684	13	26	optimize	optimize	VERB
cana-2684	13	27	resource	resource	NOUN
cana-2684	13	28	use	use	NOUN
cana-2684	13	29	.	.	PUNCT
cana-2684	14	1	these	these	DET
cana-2684	14	2	results	result	NOUN
cana-2684	14	3	demonstrate	demonstrate	VERB
cana-2684	14	4	the	the	DET
cana-2684	14	5	possible	possible	ADJ
cana-2684	14	6	significant	significant	ADJ
cana-2684	14	7	impact	impact	NOUN
cana-2684	14	8	of	of	ADP
cana-2684	14	9	ai	ai	VERB
cana-2684	14	10	on	on	ADP
cana-2684	14	11	facilitating	facilitate	VERB
cana-2684	14	12	sustainable	sustainable	ADJ
cana-2684	14	13	farming	farming	NOUN
cana-2684	14	14	practices	practice	NOUN
cana-2684	14	15	through	through	ADP
cana-2684	14	16	cost	cost	NOUN
cana-2684	14	17	savings	saving	NOUN
cana-2684	14	18	,	,	PUNCT
cana-2684	14	19	reduced	reduce	VERB
cana-2684	14	20	environmental	environmental	ADJ
cana-2684	14	21	impact	impact	NOUN
cana-2684	14	22	,	,	PUNCT
cana-2684	14	23	and	and	CCONJ
cana-2684	14	24	improved	improve	VERB
cana-2684	14	25	productivity	productivity	NOUN
cana-2684	14	26	.	.	PUNCT
cana-2684	15	1	in	in	ADP
cana-2684	15	2	general	general	ADJ
cana-2684	15	3	,	,	PUNCT
cana-2684	15	4	ai	ai	AUX
cana-2684	15	5	applications	application	NOUN
cana-2684	15	6	in	in	ADP
cana-2684	15	7	agriculture	agriculture	NOUN
cana-2684	15	8	will	will	AUX
cana-2684	15	9	revolutionize	revolutionize	VERB
cana-2684	15	10	precision	precision	NOUN
cana-2684	15	11	farming	farming	NOUN
cana-2684	15	12	by	by	ADP
cana-2684	15	13	coming	come	VERB
cana-2684	15	14	up	up	ADP
cana-2684	15	15	with	with	ADP
cana-2684	15	16	intelligent	intelligent	ADJ
cana-2684	15	17	data	datum	NOUN
cana-2684	15	18	-	-	PUNCT
cana-2684	15	19	driven	drive	VERB
cana-2684	15	20	solutions	solution	NOUN
cana-2684	15	21	for	for	ADP
cana-2684	15	22	crop	crop	NOUN
cana-2684	15	23	management	management	NOUN
cana-2684	15	24	.	.	PUNCT
cana-2684	16	1	keywords	keyword	NOUN
cana-2684	16	2	:	:	PUNCT
cana-2684	16	3	artificial	artificial	ADJ
cana-2684	16	4	intelligence	intelligence	NOUN
cana-2684	16	5	,	,	PUNCT
cana-2684	16	6	precision	precision	NOUN
cana-2684	16	7	farming	farming	NOUN
cana-2684	16	8	,	,	PUNCT
cana-2684	16	9	crop	crop	NOUN
cana-2684	16	10	monitoring	monitoring	NOUN
cana-2684	16	11	,	,	PUNCT
cana-2684	16	12	machine	machine	NOUN
cana-2684	16	13	learning	learning	NOUN
cana-2684	16	14	,	,	PUNCT
cana-2684	16	15	uavs	uavs	PROPN
cana-2684	16	16	.	.	PUNCT
cana-2684	17	1	i.	i.	PROPN
cana-2684	17	2	introduction	introduction	PROPN
cana-2684	17	3	agriculture	agriculture	NOUN
cana-2684	17	4	has	have	AUX
cana-2684	17	5	been	be	AUX
cana-2684	17	6	human	human	ADJ
cana-2684	17	7	civilization	civilization	NOUN
cana-2684	17	8	's	's	PART
cana-2684	17	9	foundation	foundation	NOUN
cana-2684	17	10	:	:	PUNCT
cana-2684	17	11	it	it	PRON
cana-2684	17	12	's	be	AUX
cana-2684	17	13	where	where	SCONJ
cana-2684	17	14	essential	essential	ADJ
cana-2684	17	15	food	food	NOUN
cana-2684	17	16	and	and	CCONJ
cana-2684	17	17	resources	resource	NOUN
cana-2684	17	18	come	come	VERB
cana-2684	17	19	from	from	ADP
cana-2684	17	20	.	.	PUNCT
cana-2684	18	1	however	however	ADV
cana-2684	18	2	,	,	PUNCT
cana-2684	18	3	as	as	SCONJ
cana-2684	18	4	population	population	NOUN
cana-2684	18	5	increases	increase	VERB
cana-2684	18	6	worldwide	worldwide	ADV
cana-2684	18	7	,	,	PUNCT
cana-2684	18	8	and	and	CCONJ
cana-2684	18	9	with	with	ADP
cana-2684	18	10	the	the	DET
cana-2684	18	11	progressing	progress	VERB
cana-2684	18	12	climatic	climatic	ADJ
cana-2684	18	13	changes	change	NOUN
cana-2684	18	14	,	,	PUNCT
cana-2684	18	15	mankind	mankind	NOUN
cana-2684	18	16	can	can	AUX
cana-2684	18	17	not	not	PART
cana-2684	18	18	maintain	maintain	VERB
cana-2684	18	19	farming	farming	NOUN
cana-2684	18	20	methods	method	NOUN
cana-2684	18	21	as	as	ADP
cana-2684	18	22	practiced	practice	VERB
cana-2684	18	23	hitherto	hitherto	NOUN
cana-2684	18	24	.	.	PUNCT
cana-2684	19	1	all	all	DET
cana-2684	19	2	this	this	DET
cana-2684	19	3	needs	need	NOUN
cana-2684	19	4	be	be	AUX
cana-2684	19	5	filled	fill	VERB
cana-2684	19	6	with	with	ADP
cana-2684	19	7	more	more	ADV
cana-2684	19	8	efficient	efficient	ADJ
cana-2684	19	9	and	and	CCONJ
cana-2684	19	10	sustainable	sustainable	ADJ
cana-2684	19	11	agricultural	agricultural	ADJ
cana-2684	19	12	practices	practice	NOUN
cana-2684	19	13	.	.	PUNCT
cana-2684	20	1	this	this	PRON
cana-2684	20	2	is	be	AUX
cana-2684	20	3	where	where	SCONJ
cana-2684	20	4	artificial	artificial	ADJ
cana-2684	20	5	intelligence	intelligence	NOUN
cana-2684	20	6	comes	come	VERB
cana-2684	20	7	into	into	ADP
cana-2684	20	8	action	action	NOUN
cana-2684	20	9	[	[	X
cana-2684	20	10	1	1	NUM
cana-2684	20	11	]	]	PUNCT
cana-2684	20	12	.	.	PUNCT
cana-2684	21	1	ai	ai	VERB
cana-2684	21	2	in	in	ADP
cana-2684	21	3	agriculture	agriculture	NOUN
cana-2684	21	4	,	,	PUNCT
cana-2684	21	5	especially	especially	ADV
cana-2684	21	6	with	with	ADP
cana-2684	21	7	regards	regard	NOUN
cana-2684	21	8	to	to	ADP
cana-2684	21	9	precision	precision	VERB
cana-2684	21	10	farming	farming	NOUN
cana-2684	21	11	and	and	CCONJ
cana-2684	21	12	crop	crop	NOUN
cana-2684	21	13	monitoring	monitoring	NOUN
cana-2684	21	14	,	,	PUNCT
cana-2684	21	15	is	be	AUX
cana-2684	21	16	challenging	challenge	VERB
cana-2684	21	17	the	the	DET
cana-2684	21	18	way	way	NOUN
cana-2684	21	19	farmers	farmer	NOUN
cana-2684	21	20	operate	operate	VERB
cana-2684	21	21	on	on	ADP
cana-2684	21	22	their	their	PRON
cana-2684	21	23	farms	farm	NOUN
cana-2684	21	24	.	.	PUNCT
cana-2684	22	1	precision	precision	NOUN
cana-2684	22	2	farming	farming	NOUN
cana-2684	22	3	,	,	PUNCT
cana-2684	22	4	also	also	ADV
cana-2684	22	5	referred	refer	VERB
cana-2684	22	6	to	to	ADP
cana-2684	22	7	as	as	ADP
cana-2684	22	8	site	site	NOUN
cana-2684	22	9	-	-	PUNCT
cana-2684	22	10	specific	specific	ADJ
cana-2684	22	11	crop	crop	NOUN
cana-2684	22	12	management	management	NOUN
cana-2684	22	13	,	,	PUNCT
cana-2684	22	14	makes	make	VERB
cana-2684	22	15	use	use	NOUN
cana-2684	22	16	of	of	ADP
cana-2684	22	17	ai	ai	PROPN
cana-2684	22	18	technologies	technology	NOUN
cana-2684	22	19	,	,	PUNCT
cana-2684	22	20	such	such	ADJ
cana-2684	22	21	as	as	ADP
cana-2684	22	22	machine	machine	NOUN
cana-2684	22	23	learning	learning	NOUN
cana-2684	22	24	,	,	PUNCT
cana-2684	22	25	remote	remote	ADJ
cana-2684	22	26	sensing	sensing	NOUN
cana-2684	22	27	,	,	PUNCT
cana-2684	22	28	and	and	CCONJ
cana-2684	22	29	data	datum	NOUN
cana-2684	22	30	analytics	analytic	NOUN
cana-2684	22	31	,	,	PUNCT
cana-2684	22	32	to	to	PART
cana-2684	22	33	collect	collect	VERB
cana-2684	22	34	enormous	enormous	ADJ
cana-2684	22	35	amounts	amount	NOUN
cana-2684	22	36	of	of	ADP
cana-2684	22	37	agricultural	agricultural	ADJ
cana-2684	22	38	data	datum	NOUN
cana-2684	22	39	[	[	X
cana-2684	22	40	2	2	NUM
cana-2684	22	41	]	]	PUNCT
cana-2684	22	42	.	.	PUNCT
cana-2684	23	1	this	this	PRON
cana-2684	23	2	means	mean	VERB
cana-2684	23	3	farmers	farmer	NOUN
cana-2684	23	4	can	can	AUX
cana-2684	23	5	make	make	VERB
cana-2684	23	6	realtime	realtime	NOUN
cana-2684	23	7	,	,	PUNCT
cana-2684	23	8	highly	highly	ADV
cana-2684	23	9	accurate	accurate	ADJ
cana-2684	23	10	decisions	decision	NOUN
cana-2684	23	11	with	with	ADP
cana-2684	23	12	regard	regard	NOUN
cana-2684	23	13	to	to	ADP
cana-2684	23	14	crop	crop	NOUN
cana-2684	23	15	management	management	NOUN
cana-2684	23	16	,	,	PUNCT
cana-2684	23	17	irrigation	irrigation	NOUN
cana-2684	23	18	,	,	PUNCT
cana-2684	23	19	fertilization	fertilization	NOUN
cana-2684	23	20	,	,	PUNCT
cana-2684	23	21	and	and	CCONJ
cana-2684	23	22	pest	pest	VERB
cana-2684	23	23	control	control	NOUN
cana-2684	23	24	.	.	PUNCT
cana-2684	24	1	farmers	farmer	NOUN
cana-2684	24	2	therefore	therefore	ADV
cana-2684	24	3	can	can	AUX
cana-2684	24	4	optimize	optimize	VERB
cana-2684	24	5	resource	resource	NOUN
cana-2684	24	6	utilization	utilization	NOUN
cana-2684	24	7	,	,	PUNCT
cana-2684	24	8	reduce	reduce	VERB
cana-2684	24	9	waste	waste	NOUN
cana-2684	24	10	,	,	PUNCT
cana-2684	24	11	and	and	CCONJ
cana-2684	24	12	increase	increase	VERB
cana-2684	24	13	crop	crop	NOUN
cana-2684	24	14	mailto:cse.chiranjit@gmail.com	mailto:cse.chiranjit@gmail.com	ADJ
cana-2684	24	15	communications	communication	NOUN
cana-2684	24	16	on	on	ADP
cana-2684	24	17	applied	apply	VERB
cana-2684	24	18	nonlinear	nonlinear	ADJ
cana-2684	24	19	analysis	analysis	NOUN
cana-2684	24	20	issn	issn	NOUN
cana-2684	24	21	:	:	PUNCT
cana-2684	24	22	1074	1074	NUM
cana-2684	24	23	-	-	PUNCT
cana-2684	24	24	133x	133x	NUM
cana-2684	24	25	vol	vol	NOUN
cana-2684	24	26	32	32	NUM
cana-2684	24	27	no	no	NOUN
cana-2684	24	28	.	.	PUNCT
cana-2684	25	1	3s	3s	NUM
cana-2684	25	2	(	(	PUNCT
cana-2684	25	3	2025	2025	NUM
cana-2684	25	4	)	)	PUNCT
cana-2684	25	5	470	470	NUM
cana-2684	25	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	25	7	productivity	productivity	NOUN
cana-2684	25	8	while	while	SCONJ
cana-2684	25	9	ensuring	ensure	VERB
cana-2684	25	10	a	a	DET
cana-2684	25	11	minimum	minimum	ADJ
cana-2684	25	12	impact	impact	NOUN
cana-2684	25	13	on	on	ADP
cana-2684	25	14	the	the	DET
cana-2684	25	15	environment	environment	NOUN
cana-2684	25	16	by	by	ADP
cana-2684	25	17	making	make	VERB
cana-2684	25	18	use	use	NOUN
cana-2684	25	19	of	of	ADP
cana-2684	25	20	ai	ai	VERB
cana-2684	25	21	in	in	ADP
cana-2684	25	22	their	their	PRON
cana-2684	25	23	farm	farm	NOUN
cana-2684	25	24	practices	practice	NOUN
cana-2684	25	25	[	[	X
cana-2684	25	26	3	3	NUM
cana-2684	25	27	]	]	PUNCT
cana-2684	25	28	.	.	PUNCT
cana-2684	26	1	crop	crop	NOUN
cana-2684	26	2	monitoring	monitor	VERB
cana-2684	26	3	through	through	ADP
cana-2684	26	4	ai	ai	PROPN
cana-2684	26	5	tools	tool	NOUN
cana-2684	26	6	,	,	PUNCT
cana-2684	26	7	such	such	ADJ
cana-2684	26	8	as	as	ADP
cana-2684	26	9	drones	drone	NOUN
cana-2684	26	10	,	,	PUNCT
cana-2684	26	11	satellite	satellite	NOUN
cana-2684	26	12	imagery	imagery	NOUN
cana-2684	26	13	,	,	PUNCT
cana-2684	26	14	and	and	CCONJ
cana-2684	26	15	iot	iot	ADJ
cana-2684	26	16	sensors	sensor	NOUN
cana-2684	26	17	,	,	PUNCT
cana-2684	26	18	allows	allow	VERB
cana-2684	26	19	for	for	ADP
cana-2684	26	20	continuous	continuous	ADJ
cana-2684	26	21	and	and	CCONJ
cana-2684	26	22	real	real	ADJ
cana-2684	26	23	-	-	PUNCT
cana-2684	26	24	time	time	NOUN
cana-2684	26	25	observation	observation	NOUN
cana-2684	26	26	of	of	ADP
cana-2684	26	27	crop	crop	NOUN
cana-2684	26	28	health	health	NOUN
cana-2684	26	29	and	and	CCONJ
cana-2684	26	30	soil	soil	NOUN
cana-2684	26	31	conditions	condition	NOUN
cana-2684	26	32	.	.	PUNCT
cana-2684	27	1	they	they	PRON
cana-2684	27	2	can	can	AUX
cana-2684	27	3	detect	detect	VERB
cana-2684	27	4	early	early	ADJ
cana-2684	27	5	signs	sign	NOUN
cana-2684	27	6	of	of	ADP
cana-2684	27	7	diseases	disease	NOUN
cana-2684	27	8	,	,	PUNCT
cana-2684	27	9	nutrient	nutrient	NOUN
cana-2684	27	10	deficiencies	deficiency	NOUN
cana-2684	27	11	,	,	PUNCT
cana-2684	27	12	and	and	CCONJ
cana-2684	27	13	pest	pest	VERB
cana-2684	27	14	infestations	infestation	NOUN
cana-2684	27	15	for	for	ADP
cana-2684	27	16	timely	timely	ADJ
cana-2684	27	17	intervention	intervention	NOUN
cana-2684	27	18	with	with	ADP
cana-2684	27	19	targeted	target	VERB
cana-2684	27	20	treatments	treatment	NOUN
cana-2684	27	21	,	,	PUNCT
cana-2684	27	22	thereby	thereby	ADV
cana-2684	27	23	drastically	drastically	ADV
cana-2684	27	24	reducing	reduce	VERB
cana-2684	27	25	chemical	chemical	NOUN
cana-2684	27	26	inputs	input	NOUN
cana-2684	27	27	and	and	CCONJ
cana-2684	27	28	ensuring	ensure	VERB
cana-2684	27	29	healthier	healthy	ADJ
cana-2684	27	30	and	and	CCONJ
cana-2684	27	31	more	more	ADV
cana-2684	27	32	resilient	resilient	ADJ
cana-2684	27	33	crops	crop	NOUN
cana-2684	27	34	.	.	PUNCT
cana-2684	28	1	this	this	DET
cana-2684	28	2	paper	paper	NOUN
cana-2684	28	3	discusses	discuss	VERB
cana-2684	28	4	how	how	SCONJ
cana-2684	28	5	ai	ai	AUX
cana-2684	28	6	can	can	AUX
cana-2684	28	7	play	play	VERB
cana-2684	28	8	a	a	DET
cana-2684	28	9	transformational	transformational	ADJ
cana-2684	28	10	role	role	NOUN
cana-2684	28	11	in	in	ADP
cana-2684	28	12	precision	precision	NOUN
cana-2684	28	13	agriculture	agriculture	NOUN
cana-2684	28	14	and	and	CCONJ
cana-2684	28	15	crop	crop	NOUN
cana-2684	28	16	monitoring	monitoring	NOUN
cana-2684	28	17	.	.	PUNCT
cana-2684	29	1	the	the	DET
cana-2684	29	2	research	research	NOUN
cana-2684	29	3	examines	examine	VERB
cana-2684	29	4	the	the	DET
cana-2684	29	5	ways	way	NOUN
cana-2684	29	6	in	in	ADP
cana-2684	29	7	which	which	PRON
cana-2684	29	8	ai	ai	VERB
cana-2684	29	9	will	will	AUX
cana-2684	29	10	help	help	VERB
cana-2684	29	11	increase	increase	VERB
cana-2684	29	12	agricultural	agricultural	ADJ
cana-2684	29	13	productivity	productivity	NOUN
cana-2684	29	14	,	,	PUNCT
cana-2684	29	15	sustainability	sustainability	NOUN
cana-2684	29	16	,	,	PUNCT
cana-2684	29	17	and	and	CCONJ
cana-2684	29	18	profitability	profitability	NOUN
cana-2684	29	19	as	as	ADV
cana-2684	29	20	well	well	ADV
cana-2684	29	21	as	as	ADP
cana-2684	29	22	reduce	reduce	VERB
cana-2684	29	23	challenges	challenge	NOUN
cana-2684	29	24	such	such	ADJ
cana-2684	29	25	as	as	ADP
cana-2684	29	26	resource	resource	NOUN
cana-2684	29	27	scarcity	scarcity	NOUN
cana-2684	29	28	and	and	CCONJ
cana-2684	29	29	environmental	environmental	ADJ
cana-2684	29	30	sustainability	sustainability	NOUN
cana-2684	29	31	.	.	PUNCT
cana-2684	30	1	through	through	ADP
cana-2684	30	2	the	the	DET
cana-2684	30	3	analysis	analysis	NOUN
cana-2684	30	4	of	of	ADP
cana-2684	30	5	the	the	DET
cana-2684	30	6	current	current	ADJ
cana-2684	30	7	applications	application	NOUN
cana-2684	30	8	and	and	CCONJ
cana-2684	30	9	future	future	ADJ
cana-2684	30	10	potential	potential	NOUN
cana-2684	30	11	of	of	ADP
cana-2684	30	12	ai	ai	NOUN
cana-2684	30	13	in	in	ADP
cana-2684	30	14	agriculture	agriculture	NOUN
cana-2684	30	15	,	,	PUNCT
cana-2684	30	16	this	this	DET
cana-2684	30	17	study	study	NOUN
cana-2684	30	18	will	will	AUX
cana-2684	30	19	shed	shed	VERB
cana-2684	30	20	light	light	NOUN
cana-2684	30	21	on	on	ADP
cana-2684	30	22	the	the	DET
cana-2684	30	23	ways	way	NOUN
cana-2684	30	24	through	through	ADP
cana-2684	30	25	which	which	PRON
cana-2684	30	26	ai	ai	VERB
cana-2684	30	27	can	can	AUX
cana-2684	30	28	contribute	contribute	VERB
cana-2684	30	29	to	to	ADP
cana-2684	30	30	the	the	DET
cana-2684	30	31	future	future	NOUN
cana-2684	30	32	of	of	ADP
cana-2684	30	33	farming	farming	NOUN
cana-2684	30	34	and	and	CCONJ
cana-2684	30	35	food	food	NOUN
cana-2684	30	36	security	security	NOUN
cana-2684	30	37	.	.	PUNCT
cana-2684	31	1	ii	ii	PROPN
cana-2684	31	2	.	.	PROPN
cana-2684	31	3	related	relate	VERB
cana-2684	31	4	works	work	VERB
cana-2684	31	5	the	the	DET
cana-2684	31	6	application	application	NOUN
cana-2684	31	7	of	of	ADP
cana-2684	31	8	artificial	artificial	ADJ
cana-2684	31	9	intelligence	intelligence	NOUN
cana-2684	31	10	(	(	PUNCT
cana-2684	31	11	ai	ai	NOUN
cana-2684	31	12	)	)	PUNCT
cana-2684	31	13	in	in	ADP
cana-2684	31	14	precision	precision	NOUN
cana-2684	31	15	agriculture	agriculture	NOUN
cana-2684	31	16	has	have	AUX
cana-2684	31	17	attracted	attract	VERB
cana-2684	31	18	much	much	ADJ
cana-2684	31	19	attention	attention	NOUN
cana-2684	31	20	with	with	ADP
cana-2684	31	21	several	several	ADJ
cana-2684	31	22	studies	study	NOUN
cana-2684	31	23	showing	show	VERB
cana-2684	31	24	its	its	PRON
cana-2684	31	25	potential	potential	NOUN
cana-2684	31	26	to	to	PART
cana-2684	31	27	improve	improve	VERB
cana-2684	31	28	productivity	productivity	NOUN
cana-2684	31	29	,	,	PUNCT
cana-2684	31	30	sustainability	sustainability	NOUN
cana-2684	31	31	,	,	PUNCT
cana-2684	31	32	and	and	CCONJ
cana-2684	31	33	make	make	VERB
cana-2684	31	34	better	well	ADJ
cana-2684	31	35	decisions	decision	NOUN
cana-2684	31	36	.	.	PUNCT
cana-2684	32	1	various	various	ADJ
cana-2684	32	2	ai	ai	NOUN
cana-2684	32	3	-	-	PUNCT
cana-2684	32	4	based	base	VERB
cana-2684	32	5	approaches	approach	NOUN
cana-2684	32	6	,	,	PUNCT
cana-2684	32	7	such	such	ADJ
cana-2684	32	8	as	as	ADP
cana-2684	32	9	ml	ml	NOUN
cana-2684	32	10	,	,	PUNCT
cana-2684	32	11	deep	deep	ADJ
cana-2684	32	12	learning	learning	NOUN
cana-2684	32	13	,	,	PUNCT
cana-2684	32	14	and	and	CCONJ
cana-2684	32	15	image	image	NOUN
cana-2684	32	16	processing	processing	NOUN
cana-2684	32	17	,	,	PUNCT
cana-2684	32	18	have	have	AUX
cana-2684	32	19	been	be	AUX
cana-2684	32	20	pursued	pursue	VERB
cana-2684	32	21	in	in	ADP
cana-2684	32	22	addressing	address	VERB
cana-2684	32	23	problems	problem	NOUN
cana-2684	32	24	in	in	ADP
cana-2684	32	25	crop	crop	NOUN
cana-2684	32	26	prediction	prediction	NOUN
cana-2684	32	27	,	,	PUNCT
cana-2684	32	28	disease	disease	NOUN
cana-2684	32	29	detection	detection	NOUN
cana-2684	32	30	,	,	PUNCT
cana-2684	32	31	and	and	CCONJ
cana-2684	32	32	efficient	efficient	ADJ
cana-2684	32	33	use	use	NOUN
cana-2684	32	34	of	of	ADP
cana-2684	32	35	resources	resource	NOUN
cana-2684	32	36	.	.	PUNCT
cana-2684	33	1	gonzálezrodríguez	gonzálezrodríguez	NOUN
cana-2684	33	2	et	et	PROPN
cana-2684	33	3	al	al	PROPN
cana-2684	33	4	.	.	PUNCT
cana-2684	34	1	[	[	X
cana-2684	34	2	15	15	NUM
cana-2684	34	3	]	]	SYM
cana-2684	34	4	claim	claim	NOUN
cana-2684	34	5	that	that	SCONJ
cana-2684	34	6	ai	ai	VERB
cana-2684	34	7	is	be	AUX
cana-2684	34	8	to	to	PART
cana-2684	34	9	be	be	AUX
cana-2684	34	10	promising	promise	VERB
cana-2684	34	11	to	to	ADP
cana-2684	34	12	phytopathology	phytopathology	NOUN
cana-2684	34	13	,	,	PUNCT
cana-2684	34	14	and	and	CCONJ
cana-2684	34	15	it	it	PRON
cana-2684	34	16	promises	promise	VERB
cana-2684	34	17	revolution	revolution	NOUN
cana-2684	34	18	for	for	ADP
cana-2684	34	19	disease	disease	NOUN
cana-2684	34	20	management	management	NOUN
cana-2684	34	21	in	in	ADP
cana-2684	34	22	plants	plant	NOUN
cana-2684	34	23	.	.	PUNCT
cana-2684	35	1	their	their	PRON
cana-2684	35	2	work	work	NOUN
cana-2684	35	3	shows	show	VERB
cana-2684	35	4	the	the	DET
cana-2684	35	5	utilization	utilization	NOUN
cana-2684	35	6	of	of	ADP
cana-2684	35	7	ai	ai	ADJ
cana-2684	35	8	-	-	PUNCT
cana-2684	35	9	driven	drive	VERB
cana-2684	35	10	diagnostic	diagnostic	ADJ
cana-2684	35	11	tools	tool	NOUN
cana-2684	35	12	aimed	aim	VERB
cana-2684	35	13	at	at	ADP
cana-2684	35	14	distinguishing	distinguish	VERB
cana-2684	35	15	plant	plant	NOUN
cana-2684	35	16	diseases	disease	NOUN
cana-2684	35	17	and	and	CCONJ
cana-2684	35	18	eliminating	eliminate	VERB
cana-2684	35	19	frequent	frequent	ADJ
cana-2684	35	20	uses	use	NOUN
cana-2684	35	21	of	of	ADP
cana-2684	35	22	chemical	chemical	ADJ
cana-2684	35	23	treatments	treatment	NOUN
cana-2684	35	24	,	,	PUNCT
cana-2684	35	25	thereby	thereby	ADV
cana-2684	35	26	converting	convert	VERB
cana-2684	35	27	unbeneficial	unbeneficial	ADJ
cana-2684	35	28	management	management	NOUN
cana-2684	35	29	of	of	ADP
cana-2684	35	30	diseases	disease	NOUN
cana-2684	35	31	into	into	ADP
cana-2684	35	32	superior	superior	ADJ
cana-2684	35	33	ones	one	NOUN
cana-2684	35	34	.	.	PUNCT
cana-2684	36	1	this	this	PRON
cana-2684	36	2	relies	rely	VERB
cana-2684	36	3	on	on	ADP
cana-2684	36	4	other	other	ADJ
cana-2684	36	5	studies	study	NOUN
cana-2684	36	6	that	that	PRON
cana-2684	36	7	apply	apply	VERB
cana-2684	36	8	machine	machine	NOUN
cana-2684	36	9	learning	learn	VERB
cana-2684	36	10	algorithms	algorithm	NOUN
cana-2684	36	11	for	for	ADP
cana-2684	36	12	the	the	DET
cana-2684	36	13	monitoring	monitoring	NOUN
cana-2684	36	14	of	of	ADP
cana-2684	36	15	crop	crop	NOUN
cana-2684	36	16	health	health	NOUN
cana-2684	36	17	.	.	PUNCT
cana-2684	37	1	in	in	ADP
cana-2684	37	2	crop	crop	NOUN
cana-2684	37	3	prediction	prediction	NOUN
cana-2684	37	4	,	,	PUNCT
cana-2684	37	5	kumar	kumar	PROPN
cana-2684	37	6	and	and	CCONJ
cana-2684	37	7	arulanandam	arulanandam	PROPN
cana-2684	37	8	[	[	X
cana-2684	37	9	19	19	NUM
cana-2684	37	10	]	]	PUNCT
cana-2684	37	11	developed	develop	VERB
cana-2684	37	12	a	a	DET
cana-2684	37	13	hybrid	hybrid	ADJ
cana-2684	37	14	model	model	NOUN
cana-2684	37	15	to	to	PART
cana-2684	37	16	predict	predict	VERB
cana-2684	37	17	crop	crop	NOUN
cana-2684	37	18	yield	yield	NOUN
cana-2684	37	19	using	use	VERB
cana-2684	37	20	environmental	environmental	ADJ
cana-2684	37	21	and	and	CCONJ
cana-2684	37	22	meteorological	meteorological	ADJ
cana-2684	37	23	data	datum	NOUN
cana-2684	37	24	.	.	PUNCT
cana-2684	38	1	the	the	DET
cana-2684	38	2	proposed	propose	VERB
cana-2684	38	3	model	model	NOUN
cana-2684	38	4	shows	show	VERB
cana-2684	38	5	promise	promise	NOUN
cana-2684	38	6	in	in	ADP
cana-2684	38	7	terms	term	NOUN
cana-2684	38	8	of	of	ADP
cana-2684	38	9	precision	precision	NOUN
cana-2684	38	10	and	and	CCONJ
cana-2684	38	11	gauging	gauge	VERB
cana-2684	38	12	the	the	DET
cana-2684	38	13	crop	crop	NOUN
cana-2684	38	14	yield	yield	VERB
cana-2684	38	15	more	more	ADV
cana-2684	38	16	effectively	effectively	ADV
cana-2684	38	17	than	than	ADP
cana-2684	38	18	conventional	conventional	ADJ
cana-2684	38	19	methods	method	NOUN
cana-2684	38	20	.	.	PUNCT
cana-2684	39	1	as	as	ADP
cana-2684	39	2	a	a	DET
cana-2684	39	3	result	result	NOUN
cana-2684	39	4	,	,	PUNCT
cana-2684	39	5	ai	ai	VERB
cana-2684	39	6	has	have	VERB
cana-2684	39	7	the	the	DET
cana-2684	39	8	potential	potential	NOUN
cana-2684	39	9	to	to	PART
cana-2684	39	10	predict	predict	VERB
cana-2684	39	11	agricultural	agricultural	ADJ
cana-2684	39	12	outcomes	outcome	NOUN
cana-2684	39	13	.	.	PUNCT
cana-2684	40	1	similarly	similarly	ADV
cana-2684	40	2	,	,	PUNCT
cana-2684	40	3	kumar	kumar	PROPN
cana-2684	40	4	and	and	CCONJ
cana-2684	40	5	rao	rao	PROPN
cana-2684	41	1	[	[	X
cana-2684	41	2	20	20	NUM
cana-2684	41	3	]	]	PUNCT
cana-2684	41	4	published	publish	VERB
cana-2684	41	5	an	an	DET
cana-2684	41	6	in	in	ADP
cana-2684	41	7	-	-	PUNCT
cana-2684	41	8	depth	depth	NOUN
cana-2684	41	9	survey	survey	NOUN
cana-2684	41	10	on	on	ADP
cana-2684	41	11	the	the	DET
cana-2684	41	12	application	application	NOUN
cana-2684	41	13	of	of	ADP
cana-2684	41	14	deep	deep	ADJ
cana-2684	41	15	learning	learning	NOUN
cana-2684	41	16	for	for	ADP
cana-2684	41	17	crop	crop	NOUN
cana-2684	41	18	disease	disease	NOUN
cana-2684	41	19	analysis	analysis	NOUN
cana-2684	41	20	.	.	PUNCT
cana-2684	42	1	it	it	PRON
cana-2684	42	2	further	far	ADV
cana-2684	42	3	indicates	indicate	VERB
cana-2684	42	4	the	the	DET
cana-2684	42	5	application	application	NOUN
cana-2684	42	6	of	of	ADP
cana-2684	42	7	deep	deep	ADJ
cana-2684	42	8	learning	learning	NOUN
cana-2684	42	9	techniques	technique	NOUN
cana-2684	42	10	to	to	PART
cana-2684	42	11	identify	identify	VERB
cana-2684	42	12	the	the	DET
cana-2684	42	13	symptoms	symptom	NOUN
cana-2684	42	14	of	of	ADP
cana-2684	42	15	a	a	DET
cana-2684	42	16	plant	plant	NOUN
cana-2684	42	17	from	from	ADP
cana-2684	42	18	images	image	NOUN
cana-2684	42	19	,	,	PUNCT
cana-2684	42	20	which	which	PRON
cana-2684	42	21	is	be	AUX
cana-2684	42	22	an	an	DET
cana-2684	42	23	important	important	ADJ
cana-2684	42	24	topic	topic	NOUN
cana-2684	42	25	and	and	CCONJ
cana-2684	42	26	has	have	VERB
cana-2684	42	27	an	an	DET
cana-2684	42	28	area	area	NOUN
cana-2684	42	29	of	of	ADP
cana-2684	42	30	research	research	NOUN
cana-2684	42	31	and	and	CCONJ
cana-2684	42	32	is	be	AUX
cana-2684	42	33	almost	almost	ADV
cana-2684	42	34	at	at	ADP
cana-2684	42	35	the	the	DET
cana-2684	42	36	activation	activation	NOUN
cana-2684	42	37	level	level	NOUN
cana-2684	42	38	in	in	ADP
cana-2684	42	39	real	real	ADJ
cana-2684	42	40	-	-	PUNCT
cana-2684	42	41	time	time	NOUN
cana-2684	42	42	systems	system	NOUN
cana-2684	42	43	for	for	ADP
cana-2684	42	44	disease	disease	NOUN
cana-2684	42	45	detection	detection	NOUN
cana-2684	42	46	.	.	PUNCT
cana-2684	43	1	drones	drone	NOUN
cana-2684	43	2	and	and	CCONJ
cana-2684	43	3	unmanned	unmanned	ADJ
cana-2684	43	4	aerial	aerial	ADJ
cana-2684	43	5	vehicles	vehicle	NOUN
cana-2684	43	6	have	have	AUX
cana-2684	43	7	also	also	ADV
cana-2684	43	8	played	play	VERB
cana-2684	43	9	an	an	DET
cana-2684	43	10	important	important	ADJ
cana-2684	43	11	role	role	NOUN
cana-2684	43	12	in	in	ADP
cana-2684	43	13	smart	smart	ADJ
cana-2684	43	14	agriculture	agriculture	NOUN
cana-2684	43	15	.	.	PUNCT
cana-2684	44	1	jayaram	jayaram	PROPN
cana-2684	44	2	et	et	PROPN
cana-2684	44	3	al	al	PROPN
cana-2684	44	4	.	.	PUNCT
cana-2684	45	1	[	[	X
cana-2684	45	2	16	16	NUM
cana-2684	45	3	]	]	PUNCT
cana-2684	45	4	aimed	aim	VERB
cana-2684	45	5	at	at	ADP
cana-2684	45	6	focusing	focus	VERB
cana-2684	45	7	on	on	ADP
cana-2684	45	8	multirotor	multirotor	PROPN
cana-2684	45	9	uav	uav	PROPN
cana-2684	45	10	design	design	PROPN
cana-2684	45	11	and	and	CCONJ
cana-2684	45	12	performance	performance	NOUN
cana-2684	45	13	analysis	analysis	NOUN
cana-2684	45	14	intended	intend	VERB
cana-2684	45	15	for	for	ADP
cana-2684	45	16	precision	precision	NOUN
cana-2684	45	17	farming	farming	NOUN
cana-2684	45	18	,	,	PUNCT
cana-2684	45	19	highlighting	highlight	VERB
cana-2684	45	20	their	their	PRON
cana-2684	45	21	potential	potential	NOUN
cana-2684	45	22	in	in	ADP
cana-2684	45	23	efficiently	efficiently	ADV
cana-2684	45	24	monitoring	monitor	VERB
cana-2684	45	25	large	large	ADJ
cana-2684	45	26	agricultural	agricultural	ADJ
cana-2684	45	27	areas	area	NOUN
cana-2684	45	28	.	.	PUNCT
cana-2684	46	1	the	the	DET
cana-2684	46	2	authors	author	NOUN
cana-2684	46	3	in	in	ADP
cana-2684	46	4	their	their	PRON
cana-2684	46	5	study	study	NOUN
cana-2684	46	6	present	present	VERB
cana-2684	46	7	the	the	DET
cana-2684	46	8	advantages	advantage	NOUN
cana-2684	46	9	of	of	ADP
cana-2684	46	10	crop	crop	NOUN
cana-2684	46	11	monitoring	monitoring	NOUN
cana-2684	46	12	,	,	PUNCT
cana-2684	46	13	pest	pest	NOUN
cana-2684	46	14	detection	detection	NOUN
cana-2684	46	15	,	,	PUNCT
cana-2684	46	16	and	and	CCONJ
cana-2684	46	17	soil	soil	NOUN
cana-2684	46	18	health	health	NOUN
cana-2684	46	19	assessment	assessment	NOUN
cana-2684	46	20	uavs	uavs	PROPN
cana-2684	46	21	.	.	PUNCT
cana-2684	47	1	in	in	ADP
cana-2684	47	2	a	a	DET
cana-2684	47	3	similar	similar	ADJ
cana-2684	47	4	vein	vein	NOUN
cana-2684	47	5	,	,	PUNCT
cana-2684	47	6	karami	karami	PROPN
cana-2684	47	7	et	et	PROPN
cana-2684	47	8	al	al	PROPN
cana-2684	47	9	.	.	PUNCT
cana-2684	48	1	[	[	X
cana-2684	48	2	17	17	NUM
cana-2684	48	3	]	]	PUNCT
cana-2684	48	4	explore	explore	VERB
cana-2684	48	5	the	the	DET
cana-2684	48	6	application	application	NOUN
cana-2684	48	7	of	of	ADP
cana-2684	48	8	quadcopters	quadcopter	NOUN
cana-2684	48	9	in	in	ADP
cana-2684	48	10	smart	smart	ADJ
cana-2684	48	11	agriculture	agriculture	NOUN
cana-2684	48	12	,	,	PUNCT
cana-2684	48	13	emphasizing	emphasize	VERB
cana-2684	48	14	their	their	PRON
cana-2684	48	15	use	use	NOUN
cana-2684	48	16	in	in	ADP
cana-2684	48	17	field	field	NOUN
cana-2684	48	18	mapping	mapping	NOUN
cana-2684	48	19	,	,	PUNCT
cana-2684	48	20	pest	pest	VERB
cana-2684	48	21	monitoring	monitoring	NOUN
cana-2684	48	22	,	,	PUNCT
cana-2684	48	23	and	and	CCONJ
cana-2684	48	24	resource	resource	NOUN
cana-2684	48	25	management	management	NOUN
cana-2684	48	26	.	.	PUNCT
cana-2684	49	1	integration	integration	NOUN
cana-2684	49	2	of	of	ADP
cana-2684	49	3	ai	ai	VERB
cana-2684	49	4	with	with	ADP
cana-2684	49	5	internet	internet	NOUN
cana-2684	49	6	of	of	ADP
cana-2684	49	7	things	thing	NOUN
cana-2684	49	8	(	(	PUNCT
cana-2684	49	9	iot	iot	NOUN
cana-2684	49	10	)	)	PUNCT
cana-2684	49	11	technologies	technology	NOUN
cana-2684	49	12	further	far	ADV
cana-2684	49	13	advanced	advanced	ADJ
cana-2684	49	14	precision	precision	NOUN
cana-2684	49	15	agriculture	agriculture	NOUN
cana-2684	49	16	.	.	PUNCT
cana-2684	50	1	lee	lee	PROPN
cana-2684	51	1	[	[	X
cana-2684	51	2	21	21	NUM
cana-2684	51	3	]	]	PUNCT
cana-2684	51	4	discusses	discuss	VERB
cana-2684	51	5	the	the	DET
cana-2684	51	6	potential	potential	NOUN
cana-2684	51	7	for	for	ADP
cana-2684	51	8	the	the	DET
cana-2684	51	9	integration	integration	NOUN
cana-2684	51	10	of	of	ADP
cana-2684	51	11	ai	ai	PROPN
cana-2684	51	12	and	and	CCONJ
cana-2684	51	13	iot	iot	ADJ
cana-2684	51	14	middleware	middleware	NOUN
cana-2684	51	15	for	for	ADP
cana-2684	51	16	intelligent	intelligent	ADJ
cana-2684	51	17	and	and	CCONJ
cana-2684	51	18	real	real	ADJ
cana-2684	51	19	-	-	PUNCT
cana-2684	51	20	time	time	NOUN
cana-2684	51	21	crop	crop	NOUN
cana-2684	51	22	monitoring	monitoring	NOUN
cana-2684	51	23	and	and	CCONJ
cana-2684	51	24	management	management	NOUN
cana-2684	51	25	.	.	PUNCT
cana-2684	52	1	through	through	ADP
cana-2684	52	2	the	the	DET
cana-2684	52	3	synergy	synergy	NOUN
cana-2684	52	4	between	between	ADP
cana-2684	52	5	ai	ai	PROPN
cana-2684	52	6	and	and	CCONJ
cana-2684	52	7	iot	iot	ADJ
cana-2684	52	8	,	,	PUNCT
cana-2684	52	9	continuous	continuous	ADJ
cana-2684	52	10	data	datum	NOUN
cana-2684	52	11	collection	collection	NOUN
cana-2684	52	12	,	,	PUNCT
cana-2684	52	13	real	real	ADJ
cana-2684	52	14	-	-	PUNCT
cana-2684	52	15	time	time	NOUN
cana-2684	52	16	analysis	analysis	NOUN
cana-2684	52	17	,	,	PUNCT
cana-2684	52	18	and	and	CCONJ
cana-2684	52	19	automated	automate	VERB
cana-2684	52	20	decision	decision	NOUN
cana-2684	52	21	-	-	PUNCT
cana-2684	52	22	making	making	NOUN
cana-2684	52	23	are	be	AUX
cana-2684	52	24	very	very	ADV
cana-2684	52	25	useful	useful	ADJ
cana-2684	52	26	for	for	SCONJ
cana-2684	52	27	farmers	farmer	NOUN
cana-2684	52	28	to	to	PART
cana-2684	52	29	optimize	optimize	VERB
cana-2684	52	30	operations	operation	NOUN
cana-2684	52	31	.	.	PUNCT
cana-2684	53	1	in	in	ADP
cana-2684	53	2	crop	crop	NOUN
cana-2684	53	3	monitoring	monitoring	NOUN
cana-2684	53	4	,	,	PUNCT
cana-2684	53	5	li	li	PROPN
cana-2684	53	6	et	et	PROPN
cana-2684	53	7	al	al	PROPN
cana-2684	53	8	.	.	PUNCT
cana-2684	54	1	[	[	X
cana-2684	54	2	22	22	NUM
cana-2684	54	3	]	]	PUNCT
cana-2684	54	4	are	be	AUX
cana-2684	54	5	using	use	VERB
cana-2684	54	6	satellite	satellite	NOUN
cana-2684	54	7	imagery	imagery	NOUN
cana-2684	54	8	and	and	CCONJ
cana-2684	54	9	uav	uav	PROPN
cana-2684	54	10	-	-	PUNCT
cana-2684	54	11	based	base	VERB
cana-2684	54	12	multispectral	multispectral	ADJ
cana-2684	54	13	data	datum	NOUN
cana-2684	54	14	to	to	PART
cana-2684	54	15	assess	assess	VERB
cana-2684	54	16	crop	crop	NOUN
cana-2684	54	17	health	health	NOUN
cana-2684	54	18	and	and	CCONJ
cana-2684	54	19	identify	identify	VERB
cana-2684	54	20	anomalies	anomaly	NOUN
cana-2684	54	21	.	.	PUNCT
cana-2684	55	1	it	it	PRON
cana-2684	55	2	emphasizes	emphasize	VERB
cana-2684	55	3	the	the	DET
cana-2684	55	4	role	role	NOUN
cana-2684	55	5	of	of	ADP
cana-2684	55	6	ai	ai	VERB
cana-2684	55	7	in	in	ADP
cana-2684	55	8	elevating	elevate	VERB
cana-2684	55	9	precision	precision	NOUN
cana-2684	55	10	agriculture	agriculture	NOUN
cana-2684	55	11	practices	practice	NOUN
cana-2684	55	12	and	and	CCONJ
cana-2684	55	13	shows	show	VERB
cana-2684	55	14	an	an	DET
cana-2684	55	15	example	example	NOUN
cana-2684	55	16	of	of	ADP
cana-2684	55	17	how	how	SCONJ
cana-2684	55	18	an	an	DET
cana-2684	55	19	ai	ai	NOUN
cana-2684	55	20	system	system	NOUN
cana-2684	55	21	can	can	AUX
cana-2684	55	22	analyze	analyze	VERB
cana-2684	55	23	huge	huge	ADJ
cana-2684	55	24	remote	remote	ADJ
cana-2684	55	25	sensing	sense	VERB
cana-2684	55	26	technology	technology	NOUN
cana-2684	55	27	datasets	dataset	NOUN
cana-2684	55	28	to	to	PART
cana-2684	55	29	provide	provide	VERB
cana-2684	55	30	insights	insight	NOUN
cana-2684	55	31	into	into	ADP
cana-2684	55	32	crop	crop	NOUN
cana-2684	55	33	conditions	condition	NOUN
cana-2684	55	34	.	.	PUNCT
cana-2684	56	1	another	another	DET
cana-2684	56	2	emerging	emerge	VERB
cana-2684	56	3	area	area	NOUN
cana-2684	56	4	of	of	ADP
cana-2684	56	5	research	research	NOUN
cana-2684	56	6	is	be	AUX
cana-2684	56	7	the	the	DET
cana-2684	56	8	intersection	intersection	NOUN
cana-2684	56	9	of	of	ADP
cana-2684	56	10	ai	ai	NOUN
cana-2684	56	11	with	with	ADP
cana-2684	56	12	plant	plant	NOUN
cana-2684	56	13	phenotyping	phenotype	VERB
cana-2684	56	14	.	.	PUNCT
cana-2684	57	1	maraveas	maravea	NOUN
cana-2684	58	1	[	[	X
cana-2684	58	2	24	24	NUM
cana-2684	58	3	]	]	PUNCT
cana-2684	58	4	reviews	review	VERB
cana-2684	58	5	state	state	NOUN
cana-2684	58	6	-	-	PUNCT
cana-2684	58	7	of	of	ADP
cana-2684	58	8	-	-	PUNCT
cana-2684	58	9	the	the	DET
cana-2684	58	10	-	-	PUNCT
cana-2684	58	11	art	art	NOUN
cana-2684	58	12	image	image	NOUN
cana-2684	58	13	analysis	analysis	NOUN
cana-2684	58	14	technologies	technology	NOUN
cana-2684	58	15	for	for	ADP
cana-2684	58	16	plant	plant	NOUN
cana-2684	58	17	phenotyping	phenotype	VERB
cana-2684	58	18	,	,	PUNCT
cana-2684	58	19	highlighting	highlight	VERB
cana-2684	58	20	significant	significant	ADJ
cana-2684	58	21	advances	advance	NOUN
cana-2684	58	22	ai	ai	VERB
cana-2684	58	23	has	have	AUX
cana-2684	58	24	made	make	VERB
cana-2684	58	25	in	in	ADP
cana-2684	58	26	automating	automate	VERB
cana-2684	58	27	the	the	DET
cana-2684	58	28	assessment	assessment	NOUN
cana-2684	58	29	of	of	ADP
cana-2684	58	30	plant	plant	NOUN
cana-2684	58	31	traits	trait	NOUN
cana-2684	58	32	.	.	PUNCT
cana-2684	59	1	the	the	DET
cana-2684	59	2	work	work	NOUN
cana-2684	59	3	contributes	contribute	VERB
cana-2684	59	4	to	to	ADP
cana-2684	59	5	improving	improve	VERB
cana-2684	59	6	the	the	DET
cana-2684	59	7	efficiency	efficiency	NOUN
cana-2684	59	8	of	of	ADP
cana-2684	59	9	breeding	breeding	NOUN
cana-2684	59	10	programs	program	NOUN
cana-2684	59	11	and	and	CCONJ
cana-2684	59	12	understanding	understand	VERB
cana-2684	59	13	plant	plant	NOUN
cana-2684	59	14	biology	biology	NOUN
cana-2684	59	15	.	.	PUNCT
cana-2684	60	1	these	these	DET
cana-2684	60	2	studies	study	NOUN
cana-2684	60	3	in	in	ADP
cana-2684	60	4	general	general	ADJ
cana-2684	60	5	show	show	VERB
cana-2684	60	6	the	the	DET
cana-2684	60	7	extensive	extensive	ADJ
cana-2684	60	8	use	use	NOUN
cana-2684	60	9	of	of	ADP
cana-2684	60	10	ai	ai	NOUN
cana-2684	60	11	in	in	ADP
cana-2684	60	12	agriculture	agriculture	NOUN
cana-2684	60	13	practices	practice	NOUN
cana-2684	60	14	that	that	PRON
cana-2684	60	15	can	can	AUX
cana-2684	60	16	come	come	VERB
cana-2684	60	17	under	under	ADP
cana-2684	60	18	crop	crop	NOUN
cana-2684	60	19	prediction	prediction	NOUN
cana-2684	60	20	or	or	CCONJ
cana-2684	60	21	disease	disease	NOUN
cana-2684	60	22	detection	detection	NOUN
cana-2684	60	23	,	,	PUNCT
cana-2684	60	24	resource	resource	NOUN
cana-2684	60	25	management	management	NOUN
cana-2684	60	26	,	,	PUNCT
cana-2684	60	27	and	and	CCONJ
cana-2684	60	28	phenotyping	phenotyping	NOUN
cana-2684	60	29	.	.	PUNCT
cana-2684	61	1	the	the	DET
cana-2684	61	2	integration	integration	NOUN
cana-2684	61	3	of	of	ADP
cana-2684	61	4	communications	communication	NOUN
cana-2684	61	5	on	on	ADP
cana-2684	61	6	applied	apply	VERB
cana-2684	61	7	nonlinear	nonlinear	ADJ
cana-2684	61	8	analysis	analysis	NOUN
cana-2684	61	9	issn	issn	NOUN
cana-2684	61	10	:	:	PUNCT
cana-2684	61	11	1074	1074	NUM
cana-2684	61	12	-	-	PUNCT
cana-2684	61	13	133x	133x	NUM
cana-2684	61	14	vol	vol	NOUN
cana-2684	61	15	32	32	NUM
cana-2684	61	16	no	no	NOUN
cana-2684	61	17	.	.	PUNCT
cana-2684	62	1	3s	3s	NUM
cana-2684	62	2	(	(	PUNCT
cana-2684	62	3	2025	2025	NUM
cana-2684	62	4	)	)	PUNCT
cana-2684	62	5	471	471	NUM
cana-2684	62	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	62	7	machine	machine	NOUN
cana-2684	62	8	learning	learning	NOUN
cana-2684	62	9	,	,	PUNCT
cana-2684	62	10	deep	deep	ADJ
cana-2684	62	11	learning	learning	NOUN
cana-2684	62	12	,	,	PUNCT
cana-2684	62	13	uavs	uavs	PROPN
cana-2684	62	14	,	,	PUNCT
cana-2684	62	15	and	and	CCONJ
cana-2684	62	16	iot	iot	VERB
cana-2684	62	17	in	in	ADP
cana-2684	62	18	agriculture	agriculture	NOUN
cana-2684	62	19	holds	hold	VERB
cana-2684	62	20	great	great	ADJ
cana-2684	62	21	promise	promise	NOUN
cana-2684	62	22	to	to	PART
cana-2684	62	23	bring	bring	VERB
cana-2684	62	24	about	about	ADP
cana-2684	62	25	productivity	productivity	NOUN
cana-2684	62	26	improvements	improvement	NOUN
cana-2684	62	27	,	,	PUNCT
cana-2684	62	28	sustainability	sustainability	NOUN
cana-2684	62	29	,	,	PUNCT
cana-2684	62	30	and	and	CCONJ
cana-2684	62	31	environmental	environmental	ADJ
cana-2684	62	32	stewardship	stewardship	NOUN
cana-2684	62	33	in	in	ADP
cana-2684	62	34	the	the	DET
cana-2684	62	35	sector	sector	NOUN
cana-2684	62	36	.	.	PUNCT
cana-2684	63	1	iii	iii	X
cana-2684	63	2	.	.	PUNCT
cana-2684	63	3	methods	method	NOUN
cana-2684	63	4	and	and	CCONJ
cana-2684	63	5	materials	material	NOUN
cana-2684	63	6	data	datum	NOUN
cana-2684	63	7	collection	collection	NOUN
cana-2684	63	8	all	all	DET
cana-2684	63	9	the	the	DET
cana-2684	63	10	required	require	VERB
cana-2684	63	11	data	datum	NOUN
cana-2684	63	12	were	be	AUX
cana-2684	63	13	collected	collect	VERB
cana-2684	63	14	from	from	ADP
cana-2684	63	15	publicly	publicly	ADV
cana-2684	63	16	available	available	ADJ
cana-2684	63	17	agricultural	agricultural	ADJ
cana-2684	63	18	datasets	dataset	NOUN
cana-2684	63	19	,	,	PUNCT
cana-2684	63	20	including	include	VERB
cana-2684	63	21	satellite	satellite	NOUN
cana-2684	63	22	imagery	imagery	NOUN
cana-2684	63	23	and	and	CCONJ
cana-2684	63	24	crop	crop	NOUN
cana-2684	63	25	health	health	NOUN
cana-2684	63	26	,	,	PUNCT
cana-2684	63	27	soil	soil	NOUN
cana-2684	63	28	moisture	moisture	NOUN
cana-2684	63	29	levels	level	NOUN
cana-2684	63	30	,	,	PUNCT
cana-2684	63	31	weather	weather	NOUN
cana-2684	63	32	conditions	condition	NOUN
cana-2684	63	33	,	,	PUNCT
cana-2684	63	34	and	and	CCONJ
cana-2684	63	35	pest	pest	VERB
cana-2684	63	36	infestation	infestation	NOUN
cana-2684	63	37	records	record	NOUN
cana-2684	63	38	.	.	PUNCT
cana-2684	64	1	such	such	ADJ
cana-2684	64	2	datasets	dataset	NOUN
cana-2684	64	3	are	be	AUX
cana-2684	64	4	full	full	ADJ
cana-2684	64	5	of	of	ADP
cana-2684	64	6	structured	structured	ADJ
cana-2684	64	7	and	and	CCONJ
cana-2684	64	8	unstructured	unstructured	ADJ
cana-2684	64	9	data	datum	NOUN
cana-2684	64	10	and	and	CCONJ
cana-2684	64	11	make	make	VERB
cana-2684	64	12	them	they	PRON
cana-2684	64	13	suitable	suitable	ADJ
cana-2684	64	14	for	for	ADP
cana-2684	64	15	the	the	DET
cana-2684	64	16	application	application	NOUN
cana-2684	64	17	of	of	ADP
cana-2684	64	18	ai	ai	PRON
cana-2684	64	19	algorithms	algorithm	NOUN
cana-2684	64	20	for	for	ADP
cana-2684	64	21	crop	crop	NOUN
cana-2684	64	22	monitoring	monitoring	NOUN
cana-2684	64	23	.	.	PUNCT
cana-2684	65	1	real	real	ADJ
cana-2684	65	2	-	-	PUNCT
cana-2684	65	3	time	time	NOUN
cana-2684	65	4	data	datum	NOUN
cana-2684	65	5	through	through	ADP
cana-2684	65	6	iot	iot	NOUN
cana-2684	65	7	-	-	PUNCT
cana-2684	65	8	based	base	VERB
cana-2684	65	9	sensors	sensor	NOUN
cana-2684	65	10	installed	instal	VERB
cana-2684	65	11	in	in	ADP
cana-2684	65	12	crop	crop	NOUN
cana-2684	65	13	fields	field	NOUN
cana-2684	65	14	also	also	ADV
cana-2684	65	15	enriched	enrich	VERB
cana-2684	65	16	the	the	DET
cana-2684	65	17	dataset	dataset	NOUN
cana-2684	65	18	with	with	ADP
cana-2684	65	19	information	information	NOUN
cana-2684	65	20	about	about	ADP
cana-2684	65	21	temperature	temperature	NOUN
cana-2684	65	22	,	,	PUNCT
cana-2684	65	23	humidity	humidity	NOUN
cana-2684	65	24	,	,	PUNCT
cana-2684	65	25	and	and	CCONJ
cana-2684	65	26	quality	quality	NOUN
cana-2684	65	27	of	of	ADP
cana-2684	65	28	the	the	DET
cana-2684	65	29	soil	soil	NOUN
cana-2684	65	30	[	[	X
cana-2684	65	31	4	4	NUM
cana-2684	65	32	]	]	PUNCT
cana-2684	65	33	.	.	PUNCT
cana-2684	66	1	the	the	DET
cana-2684	66	2	data	datum	NOUN
cana-2684	66	3	was	be	AUX
cana-2684	66	4	processed	process	VERB
cana-2684	66	5	ensuring	ensure	VERB
cana-2684	66	6	data	datum	NOUN
cana-2684	66	7	quality	quality	NOUN
cana-2684	66	8	and	and	CCONJ
cana-2684	66	9	consistency	consistency	NOUN
cana-2684	66	10	.	.	PUNCT
cana-2684	67	1	missing	miss	VERB
cana-2684	67	2	values	value	NOUN
cana-2684	67	3	were	be	AUX
cana-2684	67	4	filled	fill	VERB
cana-2684	67	5	in	in	ADP
cana-2684	67	6	and	and	CCONJ
cana-2684	67	7	outliers	outlier	NOUN
cana-2684	67	8	treated	treat	VERB
cana-2684	67	9	using	use	VERB
cana-2684	67	10	statistical	statistical	ADJ
cana-2684	67	11	methods	method	NOUN
cana-2684	67	12	such	such	ADJ
cana-2684	67	13	as	as	ADP
cana-2684	67	14	interquartile	interquartile	ADJ
cana-2684	67	15	range	range	NOUN
cana-2684	67	16	filtering	filtering	NOUN
cana-2684	67	17	.	.	PUNCT
cana-2684	68	1	data	datum	NOUN
cana-2684	68	2	preprocessing	preprocessing	NOUN
cana-2684	68	3	also	also	ADV
cana-2684	68	4	included	include	VERB
cana-2684	68	5	value	value	NOUN
cana-2684	68	6	normalization	normalization	NOUN
cana-2684	68	7	with	with	ADP
cana-2684	68	8	respect	respect	NOUN
cana-2684	68	9	to	to	ADP
cana-2684	68	10	features	feature	NOUN
cana-2684	68	11	in	in	ADP
cana-2684	68	12	comparable	comparable	ADJ
cana-2684	68	13	scales	scale	NOUN
cana-2684	68	14	.	.	PUNCT
cana-2684	69	1	algorithms	algorithm	NOUN
cana-2684	69	2	used	use	VERB
cana-2684	69	3	for	for	ADP
cana-2684	69	4	this	this	DET
cana-2684	69	5	study	study	NOUN
cana-2684	69	6	,	,	PUNCT
cana-2684	69	7	four	four	NUM
cana-2684	69	8	machine	machine	NOUN
cana-2684	69	9	learning	learn	VERB
cana-2684	69	10	algorithms	algorithm	NOUN
cana-2684	69	11	were	be	AUX
cana-2684	69	12	selected	select	VERB
cana-2684	69	13	because	because	SCONJ
cana-2684	69	14	of	of	ADP
cana-2684	69	15	their	their	PRON
cana-2684	69	16	effectiveness	effectiveness	NOUN
cana-2684	69	17	in	in	ADP
cana-2684	69	18	handling	handle	VERB
cana-2684	69	19	agricultural	agricultural	ADJ
cana-2684	69	20	data	datum	NOUN
cana-2684	69	21	.	.	PUNCT
cana-2684	70	1	these	these	DET
cana-2684	70	2	algorithms	algorithm	NOUN
cana-2684	70	3	are	be	AUX
cana-2684	70	4	well	well	ADV
cana-2684	70	5	-	-	PUNCT
cana-2684	70	6	suited	suit	VERB
cana-2684	70	7	to	to	PART
cana-2684	70	8	be	be	AUX
cana-2684	70	9	used	use	VERB
cana-2684	70	10	for	for	ADP
cana-2684	70	11	both	both	CCONJ
cana-2684	70	12	classification	classification	NOUN
cana-2684	70	13	and	and	CCONJ
cana-2684	70	14	regression	regression	NOUN
cana-2684	70	15	tasks	task	NOUN
cana-2684	70	16	in	in	ADP
cana-2684	70	17	the	the	DET
cana-2684	70	18	application	application	NOUN
cana-2684	70	19	of	of	ADP
cana-2684	70	20	precision	precision	NOUN
cana-2684	70	21	farming	farming	NOUN
cana-2684	70	22	.	.	PUNCT
cana-2684	71	1	decision	decision	NOUN
cana-2684	71	2	trees	tree	NOUN
cana-2684	71	3	(	(	PUNCT
cana-2684	71	4	dt	dt	ADJ
cana-2684	71	5	):	):	PUNCT
cana-2684	71	6	decision	decision	NOUN
cana-2684	71	7	trees	tree	NOUN
cana-2684	71	8	is	be	AUX
cana-2684	71	9	one	one	NUM
cana-2684	71	10	of	of	ADP
cana-2684	71	11	the	the	DET
cana-2684	71	12	category	category	NOUN
cana-2684	71	13	of	of	ADP
cana-2684	71	14	algorithms	algorithm	NOUN
cana-2684	71	15	which	which	PRON
cana-2684	71	16	is	be	AUX
cana-2684	71	17	most	most	ADV
cana-2684	71	18	commonly	commonly	ADV
cana-2684	71	19	used	use	VERB
cana-2684	71	20	in	in	ADP
cana-2684	71	21	ai	ai	PROPN
cana-2684	71	22	and	and	CCONJ
cana-2684	71	23	machine	machine	NOUN
cana-2684	71	24	learning	learning	NOUN
cana-2684	71	25	.	.	PUNCT
cana-2684	72	1	they	they	PRON
cana-2684	72	2	operate	operate	VERB
cana-2684	72	3	by	by	ADP
cana-2684	72	4	repeatedly	repeatedly	ADV
cana-2684	72	5	partitioning	partition	VERB
cana-2684	72	6	the	the	DET
cana-2684	72	7	data	datum	NOUN
cana-2684	72	8	on	on	ADP
cana-2684	72	9	conditions	condition	NOUN
cana-2684	72	10	of	of	ADP
cana-2684	72	11	the	the	DET
cana-2684	72	12	feature	feature	NOUN
cana-2684	72	13	,	,	PUNCT
cana-2684	72	14	and	and	CCONJ
cana-2684	72	15	consist	consist	VERB
cana-2684	72	16	of	of	ADP
cana-2684	72	17	decision	decision	NOUN
cana-2684	72	18	nodes	node	NOUN
cana-2684	72	19	and	and	CCONJ
cana-2684	72	20	end	end	VERB
cana-2684	72	21	products	product	NOUN
cana-2684	72	22	or	or	CCONJ
cana-2684	72	23	leaves	leave	NOUN
cana-2684	72	24	[	[	X
cana-2684	72	25	5	5	NUM
cana-2684	72	26	]	]	PUNCT
cana-2684	72	27	.	.	PUNCT
cana-2684	73	1	in	in	ADP
cana-2684	73	2	the	the	DET
cana-2684	73	3	context	context	NOUN
cana-2684	73	4	of	of	ADP
cana-2684	73	5	precision	precision	NOUN
cana-2684	73	6	farming	farming	NOUN
cana-2684	73	7	,	,	PUNCT
cana-2684	73	8	decision	decision	NOUN
cana-2684	73	9	trees	tree	NOUN
cana-2684	73	10	makes	make	VERB
cana-2684	73	11	sense	sense	NOUN
cana-2684	73	12	in	in	ADP
cana-2684	73	13	terms	term	NOUN
cana-2684	73	14	of	of	ADP
cana-2684	73	15	categorizing	categorize	VERB
cana-2684	73	16	the	the	DET
cana-2684	73	17	condition	condition	NOUN
cana-2684	73	18	of	of	ADP
cana-2684	73	19	crops	crop	NOUN
cana-2684	73	20	or	or	CCONJ
cana-2684	73	21	even	even	ADV
cana-2684	73	22	prospects	prospect	NOUN
cana-2684	73	23	of	of	ADP
cana-2684	73	24	soil	soil	NOUN
cana-2684	73	25	heath	heath	NOUN
cana-2684	73	26	given	give	VERB
cana-2684	73	27	data	datum	NOUN
cana-2684	73	28	on	on	ADP
cana-2684	73	29	temperature	temperature	NOUN
cana-2684	73	30	,	,	PUNCT
cana-2684	73	31	humidity	humidity	NOUN
cana-2684	73	32	and	and	CCONJ
cana-2684	73	33	rainfall	rainfall	NOUN
cana-2684	73	34	.	.	PUNCT
cana-2684	74	1	tree	tree	NOUN
cana-2684	74	2	construction	construction	NOUN
cana-2684	74	3	means	mean	VERB
cana-2684	74	4	nominate	nominate	VERB
cana-2684	74	5	the	the	DET
cana-2684	74	6	feature	feature	NOUN
cana-2684	74	7	that	that	PRON
cana-2684	74	8	splits	split	VERB
cana-2684	74	9	the	the	DET
cana-2684	74	10	data	datum	NOUN
cana-2684	74	11	most	most	ADV
cana-2684	74	12	appropriately	appropriately	ADV
cana-2684	74	13	,	,	PUNCT
cana-2684	74	14	the	the	DET
cana-2684	74	15	split	split	NOUN
cana-2684	74	16	is	be	AUX
cana-2684	74	17	based	base	VERB
cana-2684	74	18	on	on	ADP
cana-2684	74	19	an	an	DET
cana-2684	74	20	index	index	NOUN
cana-2684	74	21	such	such	ADJ
cana-2684	74	22	as	as	ADP
cana-2684	74	23	gini	gini	PROPN
cana-2684	74	24	index	index	NOUN
cana-2684	74	25	or	or	CCONJ
cana-2684	74	26	information	information	NOUN
cana-2684	74	27	gain	gain	NOUN
cana-2684	74	28	.	.	PUNCT
cana-2684	75	1	“	"	PUNCT
cana-2684	75	2	1	1	X
cana-2684	75	3	.	.	X
cana-2684	75	4	start	start	VERB
cana-2684	75	5	with	with	ADP
cana-2684	75	6	the	the	DET
cana-2684	75	7	entire	entire	ADJ
cana-2684	75	8	dataset	dataset	NOUN
cana-2684	75	9	2	2	NUM
cana-2684	75	10	.	.	PUNCT
cana-2684	75	11	for	for	ADP
cana-2684	75	12	each	each	DET
cana-2684	75	13	feature	feature	NOUN
cana-2684	75	14	,	,	PUNCT
cana-2684	75	15	calculate	calculate	VERB
cana-2684	75	16	the	the	DET
cana-2684	75	17	best	good	ADJ
cana-2684	75	18	split	split	NOUN
cana-2684	75	19	based	base	VERB
cana-2684	75	20	on	on	ADP
cana-2684	75	21	gini	gini	PROPN
cana-2684	75	22	impurity	impurity	NOUN
cana-2684	75	23	or	or	CCONJ
cana-2684	75	24	information	information	NOUN
cana-2684	75	25	gain	gain	VERB
cana-2684	75	26	3	3	NUM
cana-2684	75	27	.	.	PUNCT
cana-2684	76	1	choose	choose	AUX
cana-2684	76	2	the	the	DET
cana-2684	76	3	best	good	ADJ
cana-2684	76	4	feature	feature	NOUN
cana-2684	76	5	to	to	PART
cana-2684	76	6	split	split	VERB
cana-2684	76	7	the	the	DET
cana-2684	76	8	data	datum	NOUN
cana-2684	76	9	4	4	NUM
cana-2684	76	10	.	.	PUNCT
cana-2684	76	11	recursively	recursively	ADV
cana-2684	76	12	repeat	repeat	VERB
cana-2684	76	13	the	the	DET
cana-2684	76	14	process	process	NOUN
cana-2684	76	15	for	for	ADP
cana-2684	76	16	each	each	DET
cana-2684	76	17	child	child	NOUN
cana-2684	76	18	node	node	NOUN
cana-2684	76	19	5	5	NUM
cana-2684	76	20	.	.	PUNCT
cana-2684	76	21	continue	continue	VERB
cana-2684	76	22	until	until	SCONJ
cana-2684	76	23	the	the	DET
cana-2684	76	24	tree	tree	NOUN
cana-2684	76	25	reaches	reach	VERB
cana-2684	76	26	a	a	DET
cana-2684	76	27	maximum	maximum	ADJ
cana-2684	76	28	depth	depth	NOUN
cana-2684	76	29	or	or	CCONJ
cana-2684	76	30	minimum	minimum	ADJ
cana-2684	76	31	leaf	leaf	NOUN
cana-2684	76	32	size	size	NOUN
cana-2684	76	33	6	6	NUM
cana-2684	76	34	.	.	PUNCT
cana-2684	76	35	classify	classify	VERB
cana-2684	76	36	the	the	DET
cana-2684	76	37	data	datum	NOUN
cana-2684	76	38	by	by	ADP
cana-2684	76	39	following	follow	VERB
cana-2684	76	40	the	the	DET
cana-2684	76	41	tree	tree	NOUN
cana-2684	76	42	structure	structure	NOUN
cana-2684	76	43	from	from	ADP
cana-2684	76	44	root	root	NOUN
cana-2684	76	45	to	to	ADP
cana-2684	76	46	leaf	leaf	NOUN
cana-2684	76	47	node	node	NOUN
cana-2684	76	48	”	"	PUNCT
cana-2684	76	49	random	random	ADJ
cana-2684	76	50	forest	forest	NOUN
cana-2684	76	51	(	(	PUNCT
cana-2684	76	52	rf	rf	ADJ
cana-2684	76	53	):	):	PUNCT
cana-2684	76	54	random	random	ADJ
cana-2684	76	55	forest	forest	NOUN
cana-2684	76	56	is	be	AUX
cana-2684	76	57	an	an	DET
cana-2684	76	58	ensemble	ensemble	NOUN
cana-2684	76	59	of	of	ADP
cana-2684	76	60	learning	learn	VERB
cana-2684	76	61	technique	technique	NOUN
cana-2684	76	62	that	that	PRON
cana-2684	76	63	constructs	construct	VERB
cana-2684	76	64	a	a	DET
cana-2684	76	65	number	number	NOUN
cana-2684	76	66	of	of	ADP
cana-2684	76	67	decision	decision	NOUN
cana-2684	76	68	trees	tree	NOUN
cana-2684	76	69	and	and	CCONJ
cana-2684	76	70	then	then	ADV
cana-2684	76	71	forms	form	VERB
cana-2684	76	72	a	a	DET
cana-2684	76	73	voting	voting	NOUN
cana-2684	76	74	system	system	NOUN
cana-2684	76	75	to	to	PART
cana-2684	76	76	decide	decide	VERB
cana-2684	76	77	on	on	ADP
cana-2684	76	78	a	a	DET
cana-2684	76	79	single	single	ADJ
cana-2684	76	80	result	result	NOUN
cana-2684	76	81	.	.	PUNCT
cana-2684	77	1	it	it	PRON
cana-2684	77	2	tackles	tackle	VERB
cana-2684	77	3	the	the	DET
cana-2684	77	4	disadvantage	disadvantage	NOUN
cana-2684	77	5	of	of	ADP
cana-2684	77	6	using	use	VERB
cana-2684	77	7	only	only	ADV
cana-2684	77	8	one	one	NUM
cana-2684	77	9	decision	decision	NOUN
cana-2684	77	10	tree	tree	NOUN
cana-2684	77	11	in	in	ADP
cana-2684	77	12	handling	handle	VERB
cana-2684	77	13	over	over	ADP
cana-2684	77	14	fitting	fit	VERB
cana-2684	77	15	by	by	ADP
cana-2684	77	16	averaging	average	VERB
cana-2684	77	17	the	the	DET
cana-2684	77	18	result	result	NOUN
cana-2684	77	19	of	of	ADP
cana-2684	77	20	several	several	ADJ
cana-2684	77	21	trees	tree	NOUN
cana-2684	77	22	[	[	X
cana-2684	77	23	6	6	NUM
cana-2684	77	24	]	]	PUNCT
cana-2684	77	25	.	.	PUNCT
cana-2684	78	1	random	random	ADJ
cana-2684	78	2	forest	forest	NOUN
cana-2684	78	3	in	in	ADP
cana-2684	78	4	agriculture	agriculture	NOUN
cana-2684	78	5	:	:	PUNCT
cana-2684	78	6	in	in	ADP
cana-2684	78	7	the	the	DET
cana-2684	78	8	agriculture	agriculture	NOUN
cana-2684	78	9	field	field	NOUN
cana-2684	78	10	,	,	PUNCT
cana-2684	78	11	random	random	ADJ
cana-2684	78	12	forest	forest	NOUN
cana-2684	78	13	can	can	AUX
cana-2684	78	14	be	be	AUX
cana-2684	78	15	used	use	VERB
cana-2684	78	16	for	for	ADP
cana-2684	78	17	the	the	DET
cana-2684	78	18	forecast	forecast	NOUN
cana-2684	78	19	of	of	ADP
cana-2684	78	20	factors	factor	NOUN
cana-2684	78	21	such	such	ADJ
cana-2684	78	22	as	as	ADP
cana-2684	78	23	crop	crop	NOUN
cana-2684	78	24	yield	yield	NOUN
cana-2684	78	25	,	,	PUNCT
cana-2684	78	26	disease	disease	NOUN
cana-2684	78	27	incidence	incidence	NOUN
cana-2684	78	28	and	and	CCONJ
cana-2684	78	29	intensity	intensity	NOUN
cana-2684	78	30	of	of	ADP
cana-2684	78	31	pest	pest	NOUN
cana-2684	78	32	incidents	incident	NOUN
cana-2684	78	33	using	use	VERB
cana-2684	78	34	the	the	DET
cana-2684	78	35	data	datum	NOUN
cana-2684	78	36	through	through	ADP
cana-2684	78	37	the	the	DET
cana-2684	78	38	results	result	NOUN
cana-2684	78	39	of	of	ADP
cana-2684	78	40	many	many	ADJ
cana-2684	78	41	decision	decision	NOUN
cana-2684	78	42	trees	tree	NOUN
cana-2684	78	43	.	.	PUNCT
cana-2684	79	1	where	where	SCONJ
cana-2684	79	2	there	there	PRON
cana-2684	79	3	is	be	VERB
cana-2684	79	4	any	any	DET
cana-2684	79	5	variability	variability	NOUN
cana-2684	79	6	in	in	ADP
cana-2684	79	7	the	the	DET
cana-2684	79	8	data	datum	NOUN
cana-2684	79	9	set	set	VERB
cana-2684	79	10	,	,	PUNCT
cana-2684	79	11	random	random	ADJ
cana-2684	79	12	forest	forest	NOUN
cana-2684	79	13	is	be	AUX
cana-2684	79	14	able	able	ADJ
cana-2684	79	15	to	to	PART
cana-2684	79	16	counter	counter	VERB
cana-2684	79	17	the	the	DET
cana-2684	79	18	effects	effect	NOUN
cana-2684	79	19	by	by	ADP
cana-2684	79	20	the	the	DET
cana-2684	79	21	random	random	ADJ
cana-2684	79	22	selection	selection	NOUN
cana-2684	79	23	of	of	ADP
cana-2684	79	24	features	feature	NOUN
cana-2684	79	25	for	for	ADP
cana-2684	79	26	each	each	DET
cana-2684	79	27	tree	tree	NOUN
cana-2684	79	28	.	.	PUNCT
cana-2684	80	1	“	"	PUNCT
cana-2684	80	2	1	1	X
cana-2684	80	3	.	.	X
cana-2684	80	4	build	build	VERB
cana-2684	80	5	multiple	multiple	ADJ
cana-2684	80	6	decision	decision	NOUN
cana-2684	80	7	trees	tree	NOUN
cana-2684	80	8	using	use	VERB
cana-2684	80	9	bootstrapped	bootstrappe	VERB
cana-2684	80	10	datasets	dataset	NOUN
cana-2684	80	11	2	2	NUM
cana-2684	80	12	.	.	X
cana-2684	80	13	for	for	ADP
cana-2684	80	14	each	each	DET
cana-2684	80	15	tree	tree	NOUN
cana-2684	80	16	,	,	PUNCT
cana-2684	80	17	randomly	randomly	ADV
cana-2684	80	18	select	select	VERB
cana-2684	80	19	a	a	DET
cana-2684	80	20	subset	subset	NOUN
cana-2684	80	21	of	of	ADP
cana-2684	80	22	features	feature	NOUN
cana-2684	80	23	3	3	NUM
cana-2684	80	24	.	.	PUNCT
cana-2684	80	25	aggregate	aggregate	VERB
cana-2684	80	26	the	the	DET
cana-2684	80	27	results	result	NOUN
cana-2684	80	28	from	from	ADP
cana-2684	80	29	all	all	DET
cana-2684	80	30	the	the	DET
cana-2684	80	31	trees	tree	NOUN
cana-2684	80	32	(	(	PUNCT
cana-2684	80	33	for	for	ADP
cana-2684	80	34	classification	classification	NOUN
cana-2684	80	35	,	,	PUNCT
cana-2684	80	36	use	use	VERB
cana-2684	80	37	majority	majority	NOUN
cana-2684	80	38	voting	voting	NOUN
cana-2684	80	39	)	)	PUNCT
cana-2684	80	40	4	4	NUM
cana-2684	80	41	.	.	X
cana-2684	80	42	return	return	VERB
cana-2684	80	43	the	the	DET
cana-2684	80	44	aggregated	aggregate	VERB
cana-2684	80	45	result	result	NOUN
cana-2684	80	46	as	as	SCONJ
cana-2684	80	47	the	the	DET
cana-2684	80	48	final	final	ADJ
cana-2684	80	49	prediction	prediction	NOUN
cana-2684	80	50	”	"	PUNCT
cana-2684	80	51	support	support	NOUN
cana-2684	80	52	vector	vector	NOUN
cana-2684	80	53	machines	machine	NOUN
cana-2684	80	54	(	(	PUNCT
cana-2684	80	55	svm	svm	PROPN
cana-2684	80	56	):	):	PUNCT
cana-2684	80	57	support	support	NOUN
cana-2684	80	58	vector	vector	NOUN
cana-2684	80	59	machines	machine	NOUN
cana-2684	80	60	(	(	PUNCT
cana-2684	80	61	svm	svm	PROPN
cana-2684	80	62	)	)	PUNCT
cana-2684	80	63	as	as	SCONJ
cana-2684	80	64	the	the	DET
cana-2684	80	65	name	name	NOUN
cana-2684	80	66	suggests	suggest	VERB
cana-2684	80	67	is	be	AUX
cana-2684	80	68	a	a	DET
cana-2684	80	69	kind	kind	NOUN
cana-2684	80	70	of	of	ADP
cana-2684	80	71	supervised	supervised	ADJ
cana-2684	80	72	learning	learning	NOUN
cana-2684	80	73	that	that	PRON
cana-2684	80	74	mainly	mainly	ADV
cana-2684	80	75	focus	focus	VERB
cana-2684	80	76	on	on	ADP
cana-2684	80	77	classification	classification	NOUN
cana-2684	80	78	.	.	PUNCT
cana-2684	81	1	svm	svm	PROPN
cana-2684	81	2	is	be	AUX
cana-2684	81	3	a	a	DET
cana-2684	81	4	technique	technique	NOUN
cana-2684	81	5	of	of	ADP
cana-2684	81	6	finding	find	VERB
cana-2684	81	7	the	the	DET
cana-2684	81	8	best	good	ADJ
cana-2684	81	9	communications	communication	NOUN
cana-2684	81	10	on	on	ADP
cana-2684	81	11	applied	apply	VERB
cana-2684	81	12	nonlinear	nonlinear	ADJ
cana-2684	81	13	analysis	analysis	NOUN
cana-2684	81	14	issn	issn	NOUN
cana-2684	81	15	:	:	PUNCT
cana-2684	81	16	1074	1074	NUM
cana-2684	81	17	-	-	PUNCT
cana-2684	81	18	133x	133x	NUM
cana-2684	81	19	vol	vol	NOUN
cana-2684	81	20	32	32	NUM
cana-2684	81	21	no	no	NOUN
cana-2684	81	22	.	.	PUNCT
cana-2684	82	1	3s	3s	NUM
cana-2684	82	2	(	(	PUNCT
cana-2684	82	3	2025	2025	NUM
cana-2684	82	4	)	)	PUNCT
cana-2684	82	5	472	472	NUM
cana-2684	82	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	82	7	hyperplane	hyperplane	NOUN
cana-2684	82	8	that	that	PRON
cana-2684	82	9	divides	divide	VERB
cana-2684	82	10	the	the	DET
cana-2684	82	11	data	datum	NOUN
cana-2684	82	12	into	into	ADP
cana-2684	82	13	two	two	NUM
cana-2684	82	14	classes	class	NOUN
cana-2684	82	15	while	while	SCONJ
cana-2684	82	16	the	the	DET
cana-2684	82	17	greatest	great	ADJ
cana-2684	82	18	possible	possible	ADJ
cana-2684	82	19	distance	distance	NOUN
cana-2684	82	20	is	be	AUX
cana-2684	82	21	maintained	maintain	VERB
cana-2684	82	22	between	between	ADP
cana-2684	82	23	the	the	DET
cana-2684	82	24	two	two	NUM
cana-2684	82	25	classes	class	NOUN
cana-2684	82	26	[	[	X
cana-2684	82	27	7	7	NUM
cana-2684	82	28	]	]	PUNCT
cana-2684	82	29	.	.	PUNCT
cana-2684	83	1	in	in	ADP
cana-2684	83	2	agriculture	agriculture	NOUN
cana-2684	83	3	,	,	PUNCT
cana-2684	83	4	svm	svm	PROPN
cana-2684	83	5	can	can	AUX
cana-2684	83	6	be	be	AUX
cana-2684	83	7	used	use	VERB
cana-2684	83	8	for	for	ADP
cana-2684	83	9	the	the	DET
cana-2684	83	10	analysis	analysis	NOUN
cana-2684	83	11	of	of	ADP
cana-2684	83	12	crop	crop	NOUN
cana-2684	83	13	diseased	disease	VERB
cana-2684	83	14	according	accord	VERB
cana-2684	83	15	to	to	ADP
cana-2684	83	16	the	the	DET
cana-2684	83	17	characteristics	characteristic	NOUN
cana-2684	83	18	of	of	ADP
cana-2684	83	19	plant	plant	NOUN
cana-2684	83	20	or	or	CCONJ
cana-2684	83	21	meteorological	meteorological	ADJ
cana-2684	83	22	parameters	parameter	NOUN
cana-2684	83	23	.	.	PUNCT
cana-2684	84	1	the	the	DET
cana-2684	84	2	algorithm	algorithm	NOUN
cana-2684	84	3	employs	employ	VERB
cana-2684	84	4	kernel	kernel	NOUN
cana-2684	84	5	functions	function	NOUN
cana-2684	84	6	for	for	ADP
cana-2684	84	7	linear	linear	ADJ
cana-2684	84	8	,	,	PUNCT
cana-2684	84	9	polynomial	polynomial	ADJ
cana-2684	84	10	,	,	PUNCT
cana-2684	84	11	radial	radial	ADJ
cana-2684	84	12	basis	basis	NOUN
cana-2684	84	13	functions	function	NOUN
cana-2684	84	14	(	(	PUNCT
cana-2684	84	15	rbf	rbf	PROPN
cana-2684	84	16	)	)	PUNCT
cana-2684	84	17	to	to	PART
cana-2684	84	18	deal	deal	VERB
cana-2684	84	19	with	with	ADP
cana-2684	84	20	non	non	ADJ
cana-2684	84	21	-	-	ADJ
cana-2684	84	22	linearity	linearity	ADJ
cana-2684	84	23	existing	exist	VERB
cana-2684	84	24	with	with	ADP
cana-2684	84	25	respect	respect	NOUN
cana-2684	84	26	to	to	ADP
cana-2684	84	27	features	feature	NOUN
cana-2684	84	28	.	.	PUNCT
cana-2684	85	1	svm	svm	PROPN
cana-2684	85	2	is	be	AUX
cana-2684	85	3	particularly	particularly	ADV
cana-2684	85	4	efficient	efficient	ADJ
cana-2684	85	5	in	in	ADP
cana-2684	85	6	high	high	ADJ
cana-2684	85	7	-	-	PUNCT
cana-2684	85	8	dimensional	dimensional	ADJ
cana-2684	85	9	spaces	space	NOUN
cana-2684	85	10	,	,	PUNCT
cana-2684	85	11	which	which	PRON
cana-2684	85	12	can	can	AUX
cana-2684	85	13	be	be	AUX
cana-2684	85	14	particularly	particularly	ADV
cana-2684	85	15	appropriate	appropriate	ADJ
cana-2684	85	16	to	to	ADP
cana-2684	85	17	crop	crop	NOUN
cana-2684	85	18	monitoring	monitoring	NOUN
cana-2684	85	19	since	since	SCONJ
cana-2684	85	20	,	,	PUNCT
cana-2684	85	21	in	in	ADP
cana-2684	85	22	this	this	DET
cana-2684	85	23	case	case	NOUN
cana-2684	85	24	,	,	PUNCT
cana-2684	85	25	it	it	PRON
cana-2684	85	26	is	be	AUX
cana-2684	85	27	necessary	necessary	ADJ
cana-2684	85	28	to	to	PART
cana-2684	85	29	track	track	VERB
cana-2684	85	30	as	as	ADP
cana-2684	85	31	many	many	ADJ
cana-2684	85	32	environmental	environmental	ADJ
cana-2684	85	33	parameters	parameter	NOUN
cana-2684	85	34	as	as	ADP
cana-2684	85	35	possible	possible	ADJ
cana-2684	85	36	[	[	X
cana-2684	85	37	8	8	NUM
cana-2684	85	38	]	]	PUNCT
cana-2684	85	39	.	.	PUNCT
cana-2684	86	1	“	"	PUNCT
cana-2684	86	2	1	1	X
cana-2684	86	3	.	.	X
cana-2684	86	4	transform	transform	VERB
cana-2684	86	5	the	the	DET
cana-2684	86	6	data	datum	NOUN
cana-2684	86	7	using	use	VERB
cana-2684	86	8	a	a	DET
cana-2684	86	9	kernel	kernel	NOUN
cana-2684	86	10	function	function	NOUN
cana-2684	86	11	(	(	PUNCT
cana-2684	86	12	if	if	SCONJ
cana-2684	86	13	necessary	necessary	ADJ
cana-2684	86	14	)	)	PUNCT
cana-2684	86	15	2	2	X
cana-2684	86	16	.	.	X
cana-2684	86	17	find	find	VERB
cana-2684	86	18	the	the	DET
cana-2684	86	19	hyperplane	hyperplane	NOUN
cana-2684	86	20	that	that	PRON
cana-2684	86	21	maximizes	maximize	VERB
cana-2684	86	22	the	the	DET
cana-2684	86	23	margin	margin	NOUN
cana-2684	86	24	between	between	ADP
cana-2684	86	25	different	different	ADJ
cana-2684	86	26	classes	class	NOUN
cana-2684	86	27	3	3	NUM
cana-2684	86	28	.	.	X
cana-2684	87	1	for	for	ADP
cana-2684	87	2	new	new	ADJ
cana-2684	87	3	data	datum	NOUN
cana-2684	87	4	points	point	NOUN
cana-2684	87	5	,	,	PUNCT
cana-2684	87	6	classify	classify	VERB
cana-2684	87	7	them	they	PRON
cana-2684	87	8	based	base	VERB
cana-2684	87	9	on	on	ADP
cana-2684	87	10	which	which	DET
cana-2684	87	11	side	side	NOUN
cana-2684	87	12	of	of	ADP
cana-2684	87	13	the	the	DET
cana-2684	87	14	hyperplane	hyperplane	NOUN
cana-2684	87	15	they	they	PRON
cana-2684	87	16	fall	fall	VERB
cana-2684	87	17	”	"	PUNCT
cana-2684	87	18	convolutional	convolutional	ADJ
cana-2684	87	19	neural	neural	ADJ
cana-2684	87	20	networks	network	NOUN
cana-2684	87	21	(	(	PUNCT
cana-2684	87	22	cnn	cnn	PROPN
cana-2684	87	23	):	):	PUNCT
cana-2684	87	24	convolutional	convolutional	ADJ
cana-2684	87	25	neural	neural	ADJ
cana-2684	87	26	networks	network	NOUN
cana-2684	87	27	(	(	PUNCT
cana-2684	87	28	cnn	cnn	PROPN
cana-2684	87	29	)	)	PUNCT
cana-2684	87	30	is	be	AUX
cana-2684	87	31	yet	yet	ADV
cana-2684	87	32	another	another	DET
cana-2684	87	33	type	type	NOUN
cana-2684	87	34	of	of	ADP
cana-2684	87	35	deep	deep	ADJ
cana-2684	87	36	learning	learning	NOUN
cana-2684	87	37	models	model	NOUN
cana-2684	87	38	designed	design	VERB
cana-2684	87	39	for	for	ADP
cana-2684	87	40	use	use	NOUN
cana-2684	87	41	in	in	ADP
cana-2684	87	42	image	image	NOUN
cana-2684	87	43	solving	solving	NOUN
cana-2684	87	44	,	,	PUNCT
cana-2684	87	45	including	include	VERB
cana-2684	87	46	crop	crop	NOUN
cana-2684	87	47	monitoring	monitor	VERB
cana-2684	87	48	through	through	ADP
cana-2684	87	49	satellite	satellite	NOUN
cana-2684	87	50	images	image	NOUN
cana-2684	87	51	or	or	CCONJ
cana-2684	87	52	images	image	NOUN
cana-2684	87	53	captured	capture	VERB
cana-2684	87	54	by	by	ADP
cana-2684	87	55	drone	drone	NOUN
cana-2684	87	56	.	.	PUNCT
cana-2684	88	1	cnns	cnns	PROPN
cana-2684	88	2	have	have	VERB
cana-2684	88	3	many	many	ADJ
cana-2684	88	4	layers	layer	NOUN
cana-2684	88	5	of	of	ADP
cana-2684	88	6	dropped	drop	VERB
cana-2684	88	7	convolution	convolution	NOUN
cana-2684	88	8	that	that	PRON
cana-2684	88	9	learn	learn	VERB
cana-2684	88	10	how	how	SCONJ
cana-2684	88	11	to	to	PART
cana-2684	88	12	feature	feature	VERB
cana-2684	88	13	images	image	NOUN
cana-2684	88	14	from	from	ADP
cana-2684	88	15	raw	raw	ADJ
cana-2684	88	16	datasets	dataset	NOUN
cana-2684	88	17	automatically	automatically	ADV
cana-2684	88	18	.	.	PUNCT
cana-2684	89	1	they	they	PRON
cana-2684	89	2	are	be	AUX
cana-2684	89	3	employed	employ	VERB
cana-2684	89	4	in	in	ADP
cana-2684	89	5	functions	function	NOUN
cana-2684	89	6	like	like	ADP
cana-2684	89	7	diagnosis	diagnosis	NOUN
cana-2684	89	8	of	of	ADP
cana-2684	89	9	crop	crop	NOUN
cana-2684	89	10	ailments	ailment	NOUN
cana-2684	89	11	,	,	PUNCT
cana-2684	89	12	presence	presence	NOUN
cana-2684	89	13	of	of	ADP
cana-2684	89	14	pests	pest	NOUN
cana-2684	89	15	or	or	CCONJ
cana-2684	89	16	else	else	ADV
cana-2684	89	17	the	the	DET
cana-2684	89	18	phase	phase	NOUN
cana-2684	89	19	of	of	ADP
cana-2684	89	20	crop	crop	NOUN
cana-2684	89	21	development	development	NOUN
cana-2684	90	1	[	[	X
cana-2684	90	2	9	9	NUM
cana-2684	90	3	]	]	PUNCT
cana-2684	90	4	.	.	PUNCT
cana-2684	91	1	in	in	ADP
cana-2684	91	2	the	the	DET
cana-2684	91	3	context	context	NOUN
cana-2684	91	4	of	of	ADP
cana-2684	91	5	app	app	PROPN
cana-2684	91	6	based	base	VERB
cana-2684	91	7	agriculture	agriculture	PROPN
cana-2684	91	8	,	,	PUNCT
cana-2684	91	9	cnns	cnns	PROPN
cana-2684	91	10	are	be	AUX
cana-2684	91	11	most	most	ADV
cana-2684	91	12	useful	useful	ADJ
cana-2684	91	13	for	for	ADP
cana-2684	91	14	applications	application	NOUN
cana-2684	91	15	that	that	PRON
cana-2684	91	16	involve	involve	VERB
cana-2684	91	17	huge	huge	ADJ
cana-2684	91	18	volumes	volume	NOUN
cana-2684	91	19	of	of	ADP
cana-2684	91	20	images	image	NOUN
cana-2684	91	21	such	such	ADJ
cana-2684	91	22	as	as	ADP
cana-2684	91	23	using	use	VERB
cana-2684	91	24	images	image	NOUN
cana-2684	91	25	of	of	ADP
cana-2684	91	26	fields	field	NOUN
cana-2684	91	27	to	to	PART
cana-2684	91	28	look	look	VERB
cana-2684	91	29	for	for	ADP
cana-2684	91	30	signs	sign	NOUN
cana-2684	91	31	of	of	ADP
cana-2684	91	32	plant	plant	NOUN
cana-2684	91	33	stress	stress	NOUN
cana-2684	91	34	or	or	CCONJ
cana-2684	91	35	for	for	ADP
cana-2684	91	36	overall	overall	ADJ
cana-2684	91	37	crop	crop	NOUN
cana-2684	91	38	health	health	NOUN
cana-2684	91	39	.	.	PUNCT
cana-2684	92	1	feature	feature	NOUN
cana-2684	92	2	value	value	NOUN
cana-2684	92	3	for	for	ADP
cana-2684	92	4	crop	crop	NOUN
cana-2684	92	5	a	a	DET
cana-2684	92	6	value	value	NOUN
cana-2684	92	7	for	for	ADP
cana-2684	92	8	crop	crop	NOUN
cana-2684	92	9	b	b	NOUN
cana-2684	92	10	value	value	NOUN
cana-2684	92	11	for	for	ADP
cana-2684	92	12	crop	crop	NOUN
cana-2684	92	13	c	c	NOUN
cana-2684	92	14	soil	soil	NOUN
cana-2684	92	15	moisture	moisture	NOUN
cana-2684	92	16	(	(	PUNCT
cana-2684	92	17	%	%	INTJ
cana-2684	92	18	)	)	PUNCT
cana-2684	92	19	30.2	30.2	NUM
cana-2684	92	20	35.8	35.8	NUM
cana-2684	92	21	28.4	28.4	NUM
cana-2684	92	22	temperature	temperature	NOUN
cana-2684	92	23	(	(	PUNCT
cana-2684	92	24	°	°	ADP
cana-2684	92	25	c	c	NOUN
cana-2684	92	26	)	)	PUNCT
cana-2684	92	27	23.5	23.5	NUM
cana-2684	92	28	25.1	25.1	NUM
cana-2684	92	29	22.0	22.0	NUM
cana-2684	92	30	humidity	humidity	NOUN
cana-2684	92	31	(	(	PUNCT
cana-2684	92	32	%	%	INTJ
cana-2684	92	33	)	)	PUNCT
cana-2684	92	34	58.3	58.3	NUM
cana-2684	92	35	65.1	65.1	NUM
cana-2684	92	36	54.2	54.2	NUM
cana-2684	92	37	pest	pest	NOUN
cana-2684	92	38	density	density	NOUN
cana-2684	92	39	(	(	PUNCT
cana-2684	92	40	per	per	ADP
cana-2684	92	41	sq	sq	NOUN
cana-2684	92	42	.	.	PROPN
cana-2684	92	43	m	m	VERB
cana-2684	92	44	)	)	PUNCT
cana-2684	92	45	2.5	2.5	NUM
cana-2684	92	46	1.8	1.8	NUM
cana-2684	92	47	3.1	3.1	NUM
cana-2684	92	48	rainfall	rainfall	NOUN
cana-2684	92	49	(	(	PUNCT
cana-2684	92	50	mm	mm	NOUN
cana-2684	92	51	)	)	PUNCT
cana-2684	92	52	120	120	NUM
cana-2684	92	53	80	80	NUM
cana-2684	92	54	95	95	NUM
cana-2684	92	55	crop	crop	NOUN
cana-2684	92	56	stress	stress	NOUN
cana-2684	92	57	index	index	NOUN
cana-2684	92	58	0.34	0.34	NUM
cana-2684	92	59	0.21	0.21	NUM
cana-2684	92	60	0.50	0.50	NUM
cana-2684	92	61	iv	iv	NOUN
cana-2684	92	62	.	.	PUNCT
cana-2684	93	1	experiments	experiment	NOUN
cana-2684	93	2	experiment	experiment	NOUN
cana-2684	93	3	setup	setup	NOUN
cana-2684	93	4	in	in	ADP
cana-2684	93	5	each	each	PRON
cana-2684	93	6	of	of	ADP
cana-2684	93	7	the	the	DET
cana-2684	93	8	cases	case	NOUN
cana-2684	93	9	,	,	PUNCT
cana-2684	93	10	the	the	DET
cana-2684	93	11	algorithms	algorithm	NOUN
cana-2684	93	12	were	be	AUX
cana-2684	93	13	validated	validate	VERB
cana-2684	93	14	on	on	ADP
cana-2684	93	15	a	a	DET
cana-2684	93	16	test	test	NOUN
cana-2684	93	17	dataset	dataset	NOUN
cana-2684	93	18	that	that	PRON
cana-2684	93	19	consisted	consist	VERB
cana-2684	93	20	of	of	ADP
cana-2684	93	21	crop	crop	NOUN
cana-2684	93	22	monitoring	monitor	VERB
cana-2684	93	23	data	datum	NOUN
cana-2684	93	24	derived	derive	VERB
cana-2684	93	25	from	from	ADP
cana-2684	93	26	satellite	satellite	NOUN
cana-2684	93	27	imagery	imagery	NOUN
cana-2684	93	28	,	,	PUNCT
cana-2684	93	29	iot	iot	ADJ
cana-2684	93	30	sensors	sensor	NOUN
cana-2684	93	31	,	,	PUNCT
cana-2684	93	32	and	and	CCONJ
cana-2684	93	33	history	history	NOUN
cana-2684	93	34	of	of	ADP
cana-2684	93	35	farming	farming	NOUN
cana-2684	93	36	data	datum	NOUN
cana-2684	93	37	set	set	VERB
cana-2684	93	38	.	.	PUNCT
cana-2684	94	1	some	some	PRON
cana-2684	94	2	of	of	ADP
cana-2684	94	3	the	the	DET
cana-2684	94	4	fields	field	NOUN
cana-2684	94	5	in	in	ADP
cana-2684	94	6	the	the	DET
cana-2684	94	7	dataset	dataset	NOUN
cana-2684	94	8	are	be	AUX
cana-2684	94	9	soil	soil	NOUN
cana-2684	94	10	moisture	moisture	NOUN
cana-2684	94	11	,	,	PUNCT
cana-2684	94	12	soil	soil	NOUN
cana-2684	94	13	temperature	temperature	NOUN
cana-2684	94	14	,	,	PUNCT
cana-2684	94	15	soil	soil	NOUN
cana-2684	94	16	humidity	humidity	NOUN
cana-2684	94	17	,	,	PUNCT
cana-2684	94	18	pest	pest	VERB
cana-2684	94	19	population	population	NOUN
cana-2684	94	20	density	density	NOUN
cana-2684	94	21	,	,	PUNCT
cana-2684	94	22	and	and	CCONJ
cana-2684	94	23	crop	crop	NOUN
cana-2684	94	24	water	water	NOUN
cana-2684	94	25	stress	stress	NOUN
cana-2684	94	26	[	[	X
cana-2684	94	27	10	10	NUM
cana-2684	94	28	]	]	PUNCT
cana-2684	94	29	.	.	PUNCT
cana-2684	95	1	the	the	DET
cana-2684	95	2	data	datum	NOUN
cana-2684	95	3	into	into	ADP
cana-2684	95	4	training	training	NOUN
cana-2684	95	5	and	and	CCONJ
cana-2684	95	6	testing	testing	NOUN
cana-2684	95	7	sets	set	NOUN
cana-2684	95	8	was	be	AUX
cana-2684	95	9	done	do	VERB
cana-2684	95	10	in	in	ADP
cana-2684	95	11	order	order	NOUN
cana-2684	95	12	that	that	SCONJ
cana-2684	95	13	every	every	DET
cana-2684	95	14	algorithm	algorithm	NOUN
cana-2684	95	15	should	should	AUX
cana-2684	95	16	be	be	AUX
cana-2684	95	17	tested	test	VERB
cana-2684	95	18	on	on	ADP
cana-2684	95	19	new	new	ADJ
cana-2684	95	20	data	datum	NOUN
cana-2684	95	21	.	.	PUNCT
cana-2684	96	1	communications	communication	NOUN
cana-2684	96	2	on	on	ADP
cana-2684	96	3	applied	apply	VERB
cana-2684	96	4	nonlinear	nonlinear	ADJ
cana-2684	96	5	analysis	analysis	NOUN
cana-2684	96	6	issn	issn	NOUN
cana-2684	96	7	:	:	PUNCT
cana-2684	96	8	1074	1074	NUM
cana-2684	96	9	-	-	PUNCT
cana-2684	96	10	133x	133x	NUM
cana-2684	96	11	vol	vol	NOUN
cana-2684	96	12	32	32	NUM
cana-2684	96	13	no	no	NOUN
cana-2684	96	14	.	.	PUNCT
cana-2684	97	1	3s	3s	NUM
cana-2684	97	2	(	(	PUNCT
cana-2684	97	3	2025	2025	NUM
cana-2684	97	4	)	)	PUNCT
cana-2684	97	5	473	473	NUM
cana-2684	97	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	97	7	figure	figure	NOUN
cana-2684	97	8	1	1	NUM
cana-2684	97	9	:	:	PUNCT
cana-2684	97	10	“	"	PUNCT
cana-2684	97	11	role	role	NOUN
cana-2684	97	12	of	of	ADP
cana-2684	97	13	artificial	artificial	ADJ
cana-2684	97	14	intelligence	intelligence	NOUN
cana-2684	97	15	in	in	ADP
cana-2684	97	16	agriculture	agriculture	NOUN
cana-2684	97	17	”	"	PUNCT
cana-2684	97	18	the	the	DET
cana-2684	97	19	performance	performance	NOUN
cana-2684	97	20	of	of	ADP
cana-2684	97	21	each	each	DET
cana-2684	97	22	algorithm	algorithm	NOUN
cana-2684	97	23	was	be	AUX
cana-2684	97	24	measured	measure	VERB
cana-2684	97	25	based	base	VERB
cana-2684	97	26	on	on	ADP
cana-2684	97	27	the	the	DET
cana-2684	97	28	following	follow	VERB
cana-2684	97	29	metrics	metric	NOUN
cana-2684	97	30	:	:	PUNCT
cana-2684	97	31	●	●	PUNCT
cana-2684	97	32	accuracy	accuracy	NOUN
cana-2684	97	33	:	:	PUNCT
cana-2684	97	34	container	container	NOUN
cana-2684	97	35	to	to	PART
cana-2684	97	36	store	store	VERB
cana-2684	97	37	the	the	DET
cana-2684	97	38	percentage	percentage	NOUN
cana-2684	97	39	of	of	ADP
cana-2684	97	40	instances	instance	NOUN
cana-2684	97	41	in	in	ADP
cana-2684	97	42	the	the	DET
cana-2684	97	43	test	test	NOUN
cana-2684	97	44	set	set	NOUN
cana-2684	97	45	that	that	PRON
cana-2684	97	46	end	end	VERB
cana-2684	97	47	up	up	ADP
cana-2684	97	48	in	in	ADP
cana-2684	97	49	the	the	DET
cana-2684	97	50	correct	correct	ADJ
cana-2684	97	51	class	class	NOUN
cana-2684	97	52	.	.	PUNCT
cana-2684	98	1	●	●	PUNCT
cana-2684	98	2	precision	precision	NOUN
cana-2684	98	3	:	:	PUNCT
cana-2684	98	4	the	the	DET
cana-2684	98	5	true	true	ADJ
cana-2684	98	6	positivity	positivity	NOUN
cana-2684	98	7	that	that	PRON
cana-2684	98	8	is	be	AUX
cana-2684	98	9	the	the	DET
cana-2684	98	10	number	number	NOUN
cana-2684	98	11	of	of	ADP
cana-2684	98	12	actual	actual	ADJ
cana-2684	98	13	positive	positive	ADJ
cana-2684	98	14	prediction	prediction	NOUN
cana-2684	98	15	divided	divide	VERB
cana-2684	98	16	by	by	ADP
cana-2684	98	17	the	the	DET
cana-2684	98	18	number	number	NOUN
cana-2684	98	19	of	of	ADP
cana-2684	98	20	positive	positive	ADJ
cana-2684	98	21	prediction	prediction	NOUN
cana-2684	98	22	made	make	VERB
cana-2684	98	23	.	.	PUNCT
cana-2684	99	1	●	●	PUNCT
cana-2684	99	2	recall	recall	NOUN
cana-2684	99	3	:	:	PUNCT
cana-2684	99	4	for	for	ADP
cana-2684	99	5	example	example	NOUN
cana-2684	99	6	,	,	PUNCT
cana-2684	99	7	the	the	DET
cana-2684	99	8	quality	quality	NOUN
cana-2684	99	9	of	of	ADP
cana-2684	99	10	true	true	ADJ
cana-2684	99	11	positive	positive	ADJ
cana-2684	99	12	predictions	prediction	NOUN
cana-2684	99	13	that	that	PRON
cana-2684	99	14	were	be	AUX
cana-2684	99	15	produced	produce	VERB
cana-2684	99	16	out	out	ADP
cana-2684	99	17	of	of	ADP
cana-2684	99	18	all	all	DET
cana-2684	99	19	the	the	DET
cana-2684	99	20	actual	actual	ADJ
cana-2684	99	21	positives	positive	NOUN
cana-2684	99	22	that	that	PRON
cana-2684	99	23	are	be	AUX
cana-2684	99	24	out	out	ADV
cana-2684	99	25	there	there	ADV
cana-2684	99	26	.	.	PUNCT
cana-2684	100	1	●	●	PUNCT
cana-2684	100	2	f1	f1	NOUN
cana-2684	100	3	-	-	PUNCT
cana-2684	100	4	score	score	NOUN
cana-2684	100	5	:	:	PUNCT
cana-2684	100	6	the	the	DET
cana-2684	100	7	f1	f1	ADJ
cana-2684	100	8	measure	measure	NOUN
cana-2684	100	9	of	of	ADP
cana-2684	100	10	the	the	DET
cana-2684	100	11	ratio	ratio	NOUN
cana-2684	100	12	between	between	ADP
cana-2684	100	13	precision	precision	NOUN
cana-2684	100	14	and	and	CCONJ
cana-2684	100	15	recall	recall	VERB
cana-2684	100	16	where	where	SCONJ
cana-2684	100	17	a	a	DET
cana-2684	100	18	single	single	ADJ
cana-2684	100	19	figure	figure	NOUN
cana-2684	100	20	of	of	ADP
cana-2684	100	21	merit	merit	NOUN
cana-2684	100	22	can	can	AUX
cana-2684	100	23	be	be	AUX
cana-2684	100	24	used	use	VERB
cana-2684	100	25	to	to	PART
cana-2684	100	26	quantify	quantify	VERB
cana-2684	100	27	this	this	DET
cana-2684	100	28	trade	trade	NOUN
cana-2684	100	29	-	-	PUNCT
cana-2684	100	30	off	off	NOUN
cana-2684	100	31	.	.	PUNCT
cana-2684	101	1	each	each	DET
cana-2684	101	2	algorithm	algorithm	NOUN
cana-2684	101	3	was	be	AUX
cana-2684	101	4	implemented	implement	VERB
cana-2684	101	5	using	use	VERB
cana-2684	101	6	standard	standard	ADJ
cana-2684	101	7	python	python	NOUN
cana-2684	101	8	libraries	library	NOUN
cana-2684	101	9	:	:	PUNCT
cana-2684	101	10	pyton	pyton	NOUN
cana-2684	101	11	library	library	NOUN
cana-2684	101	12	such	such	ADJ
cana-2684	101	13	as	as	ADP
cana-2684	101	14	scikit	scikit	NOUN
cana-2684	101	15	-	-	PUNCT
cana-2684	101	16	learn	learn	VERB
cana-2684	101	17	for	for	ADP
cana-2684	101	18	decision	decision	NOUN
cana-2684	101	19	trees	tree	NOUN
cana-2684	101	20	,	,	PUNCT
cana-2684	101	21	random	random	ADJ
cana-2684	101	22	forest	forest	NOUN
cana-2684	101	23	and	and	CCONJ
cana-2684	101	24	support	support	VERB
cana-2684	101	25	vector	vector	NOUN
cana-2684	101	26	machine	machine	NOUN
cana-2684	101	27	and	and	CCONJ
cana-2684	101	28	tensorflow	tensorflow	NOUN
cana-2684	101	29	for	for	ADP
cana-2684	101	30	convolutional	convolutional	ADJ
cana-2684	101	31	neural	neural	ADJ
cana-2684	101	32	network	network	NOUN
cana-2684	101	33	.	.	PUNCT
cana-2684	102	1	control	control	NOUN
cana-2684	102	2	for	for	ADP
cana-2684	102	3	all	all	DET
cana-2684	102	4	experiments	experiment	NOUN
cana-2684	102	5	was	be	AUX
cana-2684	102	6	done	do	VERB
cana-2684	102	7	on	on	ADP
cana-2684	102	8	personal	personal	ADJ
cana-2684	102	9	computer	computer	NOUN
cana-2684	102	10	with	with	ADP
cana-2684	102	11	16	16	NUM
cana-2684	102	12	gb	gb	NOUN
cana-2684	102	13	ram	ram	NOUN
cana-2684	102	14	and	and	CCONJ
cana-2684	102	15	intel	intel	PROPN
cana-2684	102	16	core	core	NOUN
cana-2684	102	17	i7	i7	NOUN
cana-2684	102	18	.	.	PUNCT
cana-2684	103	1	experimental	experimental	ADJ
cana-2684	103	2	design	design	NOUN
cana-2684	103	3	1	1	NUM
cana-2684	103	4	.	.	PUNCT
cana-2684	103	5	decision	decision	NOUN
cana-2684	103	6	tree	tree	NOUN
cana-2684	103	7	(	(	PUNCT
cana-2684	103	8	dt	dt	NOUN
cana-2684	103	9	)	)	PUNCT
cana-2684	103	10	the	the	DET
cana-2684	103	11	dt	dt	PROPN
cana-2684	103	12	algorithm	algorithm	PROPN
cana-2684	103	13	was	be	AUX
cana-2684	103	14	used	use	VERB
cana-2684	103	15	for	for	ADP
cana-2684	103	16	the	the	DET
cana-2684	103	17	classification	classification	NOUN
cana-2684	103	18	of	of	ADP
cana-2684	103	19	crop	crop	NOUN
cana-2684	103	20	health	health	NOUN
cana-2684	103	21	due	due	ADP
cana-2684	103	22	to	to	ADP
cana-2684	103	23	environment	environment	NOUN
cana-2684	103	24	-	-	PUNCT
cana-2684	103	25	temperature	temperature	NOUN
cana-2684	103	26	,	,	PUNCT
cana-2684	103	27	moisture	moisture	NOUN
cana-2684	103	28	,	,	PUNCT
cana-2684	103	29	and	and	CCONJ
cana-2684	103	30	pest	pest	VERB
cana-2684	103	31	density	density	NOUN
cana-2684	103	32	.	.	PUNCT
cana-2684	104	1	cross	cros	NOUN
cana-2684	104	2	-	-	ADJ
cana-2684	104	3	validation	validation	NOUN
cana-2684	104	4	was	be	AUX
cana-2684	104	5	used	use	VERB
cana-2684	104	6	for	for	ADP
cana-2684	104	7	fine	fine	ADJ
cana-2684	104	8	tuning	tuning	NOUN
cana-2684	104	9	of	of	ADP
cana-2684	104	10	the	the	DET
cana-2684	104	11	depth	depth	NOUN
cana-2684	104	12	of	of	ADP
cana-2684	104	13	tree	tree	NOUN
cana-2684	104	14	and	and	CCONJ
cana-2684	104	15	splitting	splitting	NOUN
cana-2684	104	16	criteria	criterion	NOUN
cana-2684	104	17	of	of	ADP
cana-2684	104	18	dt	dt	PROPN
cana-2684	104	19	,	,	PUNCT
cana-2684	104	20	given	give	VERB
cana-2684	104	21	by	by	ADP
cana-2684	104	22	gini	gini	NOUN
cana-2684	104	23	impurity	impurity	NOUN
cana-2684	104	24	.	.	PUNCT
cana-2684	105	1	key	key	ADJ
cana-2684	105	2	steps	step	NOUN
cana-2684	105	3	in	in	ADP
cana-2684	105	4	dt	dt	PROPN
cana-2684	105	5	implementation	implementation	NOUN
cana-2684	105	6	:	:	PUNCT
cana-2684	106	1	1	1	X
cana-2684	106	2	.	.	X
cana-2684	107	1	preprocessing	preprocesse	VERB
cana-2684	107	2	:	:	PUNCT
cana-2684	107	3	missing	miss	VERB
cana-2684	107	4	values	value	NOUN
cana-2684	107	5	were	be	AUX
cana-2684	107	6	imputed	impute	VERB
cana-2684	107	7	by	by	ADP
cana-2684	107	8	medians	median	NOUN
cana-2684	107	9	,	,	PUNCT
cana-2684	107	10	and	and	CCONJ
cana-2684	107	11	one	one	NUM
cana-2684	107	12	-	-	PUNCT
cana-2684	107	13	hot	hot	ADJ
cana-2684	107	14	encoding	encoding	NOUN
cana-2684	107	15	was	be	AUX
cana-2684	107	16	done	do	VERB
cana-2684	107	17	for	for	ADP
cana-2684	107	18	categorical	categorical	ADJ
cana-2684	107	19	variables	variable	NOUN
cana-2684	107	20	.	.	PUNCT
cana-2684	108	1	2	2	X
cana-2684	108	2	.	.	X
cana-2684	108	3	hyperparameter	hyperparameter	NOUN
cana-2684	108	4	selection	selection	NOUN
cana-2684	108	5	:	:	PUNCT
cana-2684	108	6	with	with	ADP
cana-2684	108	7	the	the	DET
cana-2684	108	8	help	help	NOUN
cana-2684	108	9	of	of	ADP
cana-2684	108	10	cross	cross	ADJ
cana-2684	108	11	-	-	NOUN
cana-2684	108	12	validation	validation	ADJ
cana-2684	108	13	,	,	PUNCT
cana-2684	108	14	the	the	DET
cana-2684	108	15	depth	depth	NOUN
cana-2684	108	16	of	of	ADP
cana-2684	108	17	the	the	DET
cana-2684	108	18	tree	tree	NOUN
cana-2684	108	19	was	be	AUX
cana-2684	108	20	decided	decide	VERB
cana-2684	108	21	.	.	PUNCT
cana-2684	109	1	3	3	X
cana-2684	109	2	.	.	X
cana-2684	109	3	training	training	NOUN
cana-2684	109	4	:	:	PUNCT
cana-2684	109	5	the	the	DET
cana-2684	109	6	decision	decision	NOUN
cana-2684	109	7	tree	tree	NOUN
cana-2684	109	8	was	be	AUX
cana-2684	109	9	trained	train	VERB
cana-2684	109	10	on	on	ADP
cana-2684	109	11	the	the	DET
cana-2684	109	12	dataset	dataset	NOUN
cana-2684	109	13	with	with	ADP
cana-2684	109	14	the	the	DET
cana-2684	109	15	parameters	parameter	NOUN
cana-2684	109	16	selected	select	VERB
cana-2684	109	17	.	.	PUNCT
cana-2684	110	1	performance	performance	NOUN
cana-2684	110	2	results	result	NOUN
cana-2684	110	3	:	:	PUNCT
cana-2684	110	4	deciding	decide	VERB
cana-2684	110	5	crop	crop	NOUN
cana-2684	110	6	health	health	NOUN
cana-2684	110	7	was	be	AUX
cana-2684	110	8	nicely	nicely	ADV
cana-2684	110	9	done	do	VERB
cana-2684	110	10	by	by	ADP
cana-2684	110	11	the	the	DET
cana-2684	110	12	decision	decision	NOUN
cana-2684	110	13	tree	tree	NOUN
cana-2684	110	14	using	use	VERB
cana-2684	110	15	less	less	ADV
cana-2684	110	16	computational	computational	ADJ
cana-2684	110	17	resources	resource	NOUN
cana-2684	110	18	than	than	ADP
cana-2684	110	19	many	many	ADJ
cana-2684	110	20	more	more	ADV
cana-2684	110	21	complex	complex	ADJ
cana-2684	110	22	algorithms	algorithm	NOUN
cana-2684	110	23	in	in	ADP
cana-2684	110	24	a	a	DET
cana-2684	110	25	highly	highly	ADV
cana-2684	110	26	accurate	accurate	ADJ
cana-2684	110	27	manner	manner	NOUN
cana-2684	110	28	.	.	PUNCT
cana-2684	111	1	2	2	X
cana-2684	111	2	.	.	X
cana-2684	111	3	random	random	ADJ
cana-2684	111	4	forest	forest	NOUN
cana-2684	111	5	(	(	PUNCT
cana-2684	111	6	rf	rf	NOUN
cana-2684	111	7	)	)	PUNCT
cana-2684	111	8	random	random	ADJ
cana-2684	111	9	forests	forest	NOUN
cana-2684	111	10	is	be	AUX
cana-2684	111	11	a	a	DET
cana-2684	111	12	versatile	versatile	ADJ
cana-2684	111	13	system	system	NOUN
cana-2684	111	14	that	that	PRON
cana-2684	111	15	combines	combine	VERB
cana-2684	111	16	the	the	DET
cana-2684	111	17	decision	decision	NOUN
cana-2684	111	18	trees	tree	NOUN
cana-2684	111	19	and	and	CCONJ
cana-2684	111	20	diminishes	diminish	VERB
cana-2684	111	21	the	the	DET
cana-2684	111	22	forecast	forecast	NOUN
cana-2684	111	23	errors	error	NOUN
cana-2684	111	24	of	of	ADP
cana-2684	111	25	individual	individual	ADJ
cana-2684	111	26	decision	decision	NOUN
cana-2684	111	27	trees	tree	NOUN
cana-2684	111	28	[	[	X
cana-2684	111	29	11	11	NUM
cana-2684	111	30	]	]	PUNCT
cana-2684	111	31	.	.	PUNCT
cana-2684	112	1	in	in	ADP
cana-2684	112	2	this	this	DET
cana-2684	112	3	experiment	experiment	NOUN
cana-2684	112	4	,	,	PUNCT
cana-2684	112	5	random	random	ADJ
cana-2684	112	6	forest	forest	NOUN
cana-2684	112	7	algorithm	algorithm	NOUN
cana-2684	112	8	was	be	AUX
cana-2684	112	9	employed	employ	VERB
cana-2684	112	10	for	for	ADP
cana-2684	112	11	crop	crop	NOUN
cana-2684	112	12	yield	yield	NOUN
cana-2684	112	13	prediction	prediction	NOUN
cana-2684	112	14	and	and	CCONJ
cana-2684	112	15	detection	detection	NOUN
cana-2684	112	16	of	of	ADP
cana-2684	112	17	pest	pest	NOUN
cana-2684	112	18	infested	infest	VERB
cana-2684	112	19	zones	zone	NOUN
cana-2684	112	20	.	.	PUNCT
cana-2684	113	1	communications	communication	NOUN
cana-2684	113	2	on	on	ADP
cana-2684	113	3	applied	apply	VERB
cana-2684	113	4	nonlinear	nonlinear	ADJ
cana-2684	113	5	analysis	analysis	NOUN
cana-2684	113	6	issn	issn	NOUN
cana-2684	113	7	:	:	PUNCT
cana-2684	113	8	1074	1074	NUM
cana-2684	113	9	-	-	PUNCT
cana-2684	113	10	133x	133x	NUM
cana-2684	113	11	vol	vol	NOUN
cana-2684	113	12	32	32	NUM
cana-2684	113	13	no	no	NOUN
cana-2684	113	14	.	.	PUNCT
cana-2684	114	1	3s	3s	NUM
cana-2684	114	2	(	(	PUNCT
cana-2684	114	3	2025	2025	NUM
cana-2684	114	4	)	)	PUNCT
cana-2684	114	5	474	474	NUM
cana-2684	114	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	115	1	figure	figure	NOUN
cana-2684	115	2	2	2	NUM
cana-2684	115	3	:	:	PUNCT
cana-2684	115	4	“	"	PUNCT
cana-2684	115	5	development	development	NOUN
cana-2684	115	6	of	of	ADP
cana-2684	115	7	agricultural	agricultural	ADJ
cana-2684	115	8	system	system	NOUN
cana-2684	115	9	and	and	CCONJ
cana-2684	115	10	apps	app	NOUN
cana-2684	115	11	”	"	PUNCT
cana-2684	115	12	key	key	ADJ
cana-2684	115	13	steps	step	NOUN
cana-2684	115	14	in	in	ADP
cana-2684	115	15	rf	rf	ADJ
cana-2684	115	16	implementation	implementation	NOUN
cana-2684	115	17	:	:	PUNCT
cana-2684	115	18	1	1	X
cana-2684	115	19	.	.	X
cana-2684	115	20	data	datum	NOUN
cana-2684	115	21	preprocessing	preprocessing	NOUN
cana-2684	115	22	:	:	PUNCT
cana-2684	115	23	in	in	ADP
cana-2684	115	24	the	the	DET
cana-2684	115	25	same	same	ADJ
cana-2684	115	26	manner	manner	NOUN
cana-2684	115	27	as	as	ADP
cana-2684	115	28	dt	dt	PROPN
cana-2684	115	29	,	,	PUNCT
cana-2684	115	30	missing	miss	VERB
cana-2684	115	31	values	value	NOUN
cana-2684	115	32	were	be	AUX
cana-2684	115	33	filled	fill	VERB
cana-2684	115	34	in	in	ADP
cana-2684	115	35	,	,	PUNCT
cana-2684	115	36	and	and	CCONJ
cana-2684	115	37	categorical	categorical	ADJ
cana-2684	115	38	data	datum	NOUN
cana-2684	115	39	were	be	AUX
cana-2684	115	40	encoded	encode	VERB
cana-2684	115	41	into	into	ADP
cana-2684	115	42	binary	binary	ADJ
cana-2684	115	43	format	format	NOUN
cana-2684	115	44	.	.	PUNCT
cana-2684	116	1	2	2	X
cana-2684	116	2	.	.	X
cana-2684	116	3	hyperparameter	hyperparameter	NOUN
cana-2684	116	4	tuning	tune	VERB
cana-2684	116	5	:	:	PUNCT
cana-2684	116	6	the	the	DET
cana-2684	116	7	estimate	estimate	NOUN
cana-2684	116	8	of	of	ADP
cana-2684	116	9	trees	tree	NOUN
cana-2684	116	10	in	in	ADP
cana-2684	116	11	the	the	DET
cana-2684	116	12	forest	forest	NOUN
cana-2684	116	13	was	be	AUX
cana-2684	116	14	diverse	diverse	ADJ
cana-2684	116	15	due	due	ADP
cana-2684	116	16	to	to	ADP
cana-2684	116	17	the	the	DET
cana-2684	116	18	top	top	ADJ
cana-2684	116	19	performing	perform	VERB
cana-2684	116	20	cross	cross	NOUN
cana-2684	116	21	validation	validation	NOUN
cana-2684	116	22	number	number	NOUN
cana-2684	116	23	of	of	ADP
cana-2684	116	24	trees	tree	NOUN
cana-2684	116	25	used	use	VERB
cana-2684	116	26	in	in	ADP
cana-2684	116	27	the	the	DET
cana-2684	116	28	decision	decision	NOUN
cana-2684	116	29	process	process	NOUN
cana-2684	116	30	.	.	PUNCT
cana-2684	117	1	3	3	X
cana-2684	117	2	.	.	X
cana-2684	117	3	training	training	NOUN
cana-2684	117	4	:	:	PUNCT
cana-2684	117	5	the	the	DET
cana-2684	117	6	random	random	ADJ
cana-2684	117	7	forest	forest	NOUN
cana-2684	117	8	was	be	AUX
cana-2684	117	9	then	then	ADV
cana-2684	117	10	built	build	VERB
cana-2684	117	11	with	with	ADP
cana-2684	117	12	the	the	DET
cana-2684	117	13	training	training	NOUN
cana-2684	117	14	dataset	dataset	VERB
cana-2684	117	15	in	in	ADP
cana-2684	117	16	use	use	NOUN
cana-2684	117	17	and	and	CCONJ
cana-2684	117	18	a	a	DET
cana-2684	117	19	majority	majority	NOUN
cana-2684	117	20	voting	voting	NOUN
cana-2684	117	21	method	method	NOUN
cana-2684	117	22	was	be	AUX
cana-2684	117	23	used	use	VERB
cana-2684	117	24	for	for	ADP
cana-2684	117	25	classification	classification	NOUN
cana-2684	117	26	while	while	SCONJ
cana-2684	117	27	mean	mean	VERB
cana-2684	117	28	voting	voting	NOUN
cana-2684	117	29	was	be	AUX
cana-2684	117	30	used	use	VERB
cana-2684	117	31	for	for	ADP
cana-2684	117	32	regression	regression	NOUN
cana-2684	117	33	.	.	PUNCT
cana-2684	118	1	performance	performance	NOUN
cana-2684	118	2	results	result	NOUN
cana-2684	118	3	:	:	PUNCT
cana-2684	118	4	random	random	ADJ
cana-2684	118	5	forest	forest	NOUN
cana-2684	118	6	also	also	ADV
cana-2684	118	7	outperformed	outperform	VERB
cana-2684	118	8	decision	decision	NOUN
cana-2684	118	9	trees	tree	NOUN
cana-2684	118	10	in	in	ADP
cana-2684	118	11	terms	term	NOUN
cana-2684	118	12	of	of	ADP
cana-2684	118	13	accuracy	accuracy	NOUN
cana-2684	118	14	and	and	CCONJ
cana-2684	118	15	a	a	DET
cana-2684	118	16	model	model	NOUN
cana-2684	118	17	’s	’s	PART
cana-2684	118	18	ability	ability	NOUN
cana-2684	118	19	to	to	PART
cana-2684	118	20	generalize	generalize	VERB
cana-2684	118	21	.	.	PUNCT
cana-2684	119	1	it	it	PRON
cana-2684	119	2	also	also	ADV
cana-2684	119	3	outperformed	outperform	VERB
cana-2684	119	4	the	the	DET
cana-2684	119	5	other	other	ADJ
cana-2684	119	6	methods	method	NOUN
cana-2684	119	7	in	in	ADP
cana-2684	119	8	dealing	deal	VERB
cana-2684	119	9	with	with	ADP
cana-2684	119	10	noisy	noisy	ADJ
cana-2684	119	11	data	datum	NOUN
cana-2684	119	12	which	which	PRON
cana-2684	119	13	is	be	AUX
cana-2684	119	14	ideal	ideal	ADJ
cana-2684	119	15	in	in	ADP
cana-2684	119	16	handling	handle	VERB
cana-2684	119	17	large	large	ADJ
cana-2684	119	18	sets	set	NOUN
cana-2684	119	19	of	of	ADP
cana-2684	119	20	data	datum	NOUN
cana-2684	119	21	in	in	ADP
cana-2684	119	22	agriculture	agriculture	NOUN
cana-2684	119	23	[	[	X
cana-2684	119	24	12	12	NUM
cana-2684	119	25	]	]	PUNCT
cana-2684	119	26	.	.	PUNCT
cana-2684	120	1	3	3	X
cana-2684	120	2	.	.	X
cana-2684	120	3	support	support	NOUN
cana-2684	120	4	vector	vector	NOUN
cana-2684	120	5	machines	machine	NOUN
cana-2684	120	6	(	(	PUNCT
cana-2684	120	7	svm	svm	PROPN
cana-2684	120	8	)	)	PUNCT
cana-2684	120	9	in	in	ADP
cana-2684	120	10	the	the	DET
cana-2684	120	11	crop	crop	NOUN
cana-2684	120	12	disease	disease	NOUN
cana-2684	120	13	classification	classification	NOUN
cana-2684	120	14	,	,	PUNCT
cana-2684	120	15	svm	svm	PROPN
cana-2684	120	16	was	be	AUX
cana-2684	120	17	employed	employ	VERB
cana-2684	120	18	using	use	VERB
cana-2684	120	19	an	an	DET
cana-2684	120	20	optimal	optimal	ADJ
cana-2684	120	21	hyperplane	hyperplane	NOUN
cana-2684	120	22	to	to	PART
cana-2684	120	23	classify	classify	VERB
cana-2684	120	24	different	different	ADJ
cana-2684	120	25	crop	crop	NOUN
cana-2684	120	26	diseases	disease	NOUN
cana-2684	120	27	based	base	VERB
cana-2684	120	28	on	on	ADP
cana-2684	120	29	extracted	extract	VERB
cana-2684	120	30	features	feature	NOUN
cana-2684	120	31	.	.	PUNCT
cana-2684	121	1	to	to	PART
cana-2684	121	2	learn	learn	VERB
cana-2684	121	3	high	high	ADJ
cana-2684	121	4	-	-	PUNCT
cana-2684	121	5	order	order	NOUN
cana-2684	121	6	non	non	ADJ
cana-2684	121	7	-	-	ADJ
cana-2684	121	8	linear	linear	ADJ
cana-2684	121	9	relationships	relationship	NOUN
cana-2684	121	10	between	between	ADP
cana-2684	121	11	the	the	DET
cana-2684	121	12	features	feature	NOUN
cana-2684	121	13	an	an	DET
cana-2684	121	14	rbf	rbf	PROPN
cana-2684	121	15	(	(	PUNCT
cana-2684	121	16	radial	radial	ADJ
cana-2684	121	17	basis	basis	NOUN
cana-2684	121	18	function	function	NOUN
cana-2684	121	19	)	)	PUNCT
cana-2684	121	20	kernel	kernel	PROPN
cana-2684	121	21	was	be	AUX
cana-2684	121	22	employed	employ	VERB
cana-2684	121	23	.	.	PUNCT
cana-2684	122	1	key	key	ADJ
cana-2684	122	2	steps	step	NOUN
cana-2684	122	3	in	in	ADP
cana-2684	122	4	svm	svm	ADJ
cana-2684	122	5	implementation	implementation	NOUN
cana-2684	122	6	:	:	PUNCT
cana-2684	122	7	1	1	X
cana-2684	122	8	.	.	X
cana-2684	122	9	data	datum	NOUN
cana-2684	122	10	preprocessing	preprocessing	NOUN
cana-2684	122	11	:	:	PUNCT
cana-2684	122	12	some	some	DET
cana-2684	122	13	feature	feature	NOUN
cana-2684	122	14	scaling	scale	VERB
cana-2684	122	15	were	be	AUX
cana-2684	122	16	performed	perform	VERB
cana-2684	122	17	mainly	mainly	ADV
cana-2684	122	18	to	to	PART
cana-2684	122	19	have	have	VERB
cana-2684	122	20	a	a	DET
cana-2684	122	21	better	well	ADJ
cana-2684	122	22	svm	svm	ADJ
cana-2684	122	23	performance	performance	NOUN
cana-2684	122	24	in	in	ADP
cana-2684	122	25	part	part	NOUN
cana-2684	122	26	because	because	SCONJ
cana-2684	122	27	all	all	DET
cana-2684	122	28	the	the	DET
cana-2684	122	29	features	feature	NOUN
cana-2684	122	30	should	should	AUX
cana-2684	122	31	be	be	AUX
cana-2684	122	32	on	on	ADP
cana-2684	122	33	the	the	DET
cana-2684	122	34	same	same	ADJ
cana-2684	122	35	scale	scale	NOUN
cana-2684	122	36	.	.	PUNCT
cana-2684	123	1	2	2	X
cana-2684	123	2	.	.	X
cana-2684	123	3	hyperparameter	hyperparameter	NOUN
cana-2684	123	4	tuning	tuning	NOUN
cana-2684	123	5	:	:	PUNCT
cana-2684	123	6	hyperparameters	hyperparameter	NOUN
cana-2684	123	7	of	of	ADP
cana-2684	123	8	decision	decision	NOUN
cana-2684	123	9	function	function	NOUN
cana-2684	123	10	(	(	PUNCT
cana-2684	123	11	c	c	NOUN
cana-2684	123	12	)	)	PUNCT
cana-2684	123	13	and	and	CCONJ
cana-2684	123	14	kernel	kernel	PROPN
cana-2684	123	15	parameters	parameter	NOUN
cana-2684	123	16	were	be	AUX
cana-2684	123	17	set	set	VERB
cana-2684	123	18	with	with	ADP
cana-2684	123	19	the	the	DET
cana-2684	123	20	help	help	NOUN
cana-2684	123	21	of	of	ADP
cana-2684	123	22	grid	grid	NOUN
cana-2684	123	23	search	search	NOUN
cana-2684	123	24	.	.	PUNCT
cana-2684	124	1	3	3	X
cana-2684	124	2	.	.	X
cana-2684	124	3	training	training	NOUN
cana-2684	124	4	:	:	PUNCT
cana-2684	124	5	after	after	ADP
cana-2684	124	6	scaling	scale	VERB
cana-2684	124	7	and	and	CCONJ
cana-2684	124	8	choosing	choose	VERB
cana-2684	124	9	the	the	DET
cana-2684	124	10	best	good	ADJ
cana-2684	124	11	parameters	parameter	NOUN
cana-2684	124	12	,	,	PUNCT
cana-2684	124	13	the	the	DET
cana-2684	124	14	svm	svm	ADJ
cana-2684	124	15	model	model	NOUN
cana-2684	124	16	was	be	AUX
cana-2684	124	17	used	use	VERB
cana-2684	124	18	for	for	ADP
cana-2684	124	19	training	training	NOUN
cana-2684	124	20	with	with	ADP
cana-2684	124	21	these	these	DET
cana-2684	124	22	features	feature	NOUN
cana-2684	124	23	.	.	PUNCT
cana-2684	125	1	performance	performance	NOUN
cana-2684	125	2	results	result	NOUN
cana-2684	125	3	:	:	PUNCT
cana-2684	125	4	svm	svm	PROPN
cana-2684	125	5	was	be	AUX
cana-2684	125	6	also	also	ADV
cana-2684	125	7	able	able	ADJ
cana-2684	125	8	to	to	PART
cana-2684	125	9	give	give	VERB
cana-2684	125	10	high	high	ADJ
cana-2684	125	11	precision	precision	NOUN
cana-2684	125	12	and	and	CCONJ
cana-2684	125	13	recall	recall	NOUN
cana-2684	125	14	for	for	ADP
cana-2684	125	15	the	the	DET
cana-2684	125	16	crop	crop	NOUN
cana-2684	125	17	disease	disease	NOUN
cana-2684	125	18	classification	classification	NOUN
cana-2684	125	19	showing	show	VERB
cana-2684	125	20	that	that	SCONJ
cana-2684	125	21	it	it	PRON
cana-2684	125	22	can	can	AUX
cana-2684	125	23	work	work	VERB
cana-2684	125	24	well	well	ADV
cana-2684	125	25	with	with	ADP
cana-2684	125	26	the	the	DET
cana-2684	125	27	higher	high	ADJ
cana-2684	125	28	dimensional	dimensional	ADJ
cana-2684	125	29	agricultural	agricultural	ADJ
cana-2684	125	30	data	datum	NOUN
cana-2684	125	31	[	[	X
cana-2684	125	32	13	13	NUM
cana-2684	125	33	]	]	PUNCT
cana-2684	125	34	.	.	PUNCT
cana-2684	126	1	communications	communication	NOUN
cana-2684	126	2	on	on	ADP
cana-2684	126	3	applied	apply	VERB
cana-2684	126	4	nonlinear	nonlinear	ADJ
cana-2684	126	5	analysis	analysis	NOUN
cana-2684	126	6	issn	issn	NOUN
cana-2684	126	7	:	:	PUNCT
cana-2684	126	8	1074	1074	NUM
cana-2684	126	9	-	-	PUNCT
cana-2684	126	10	133x	133x	NUM
cana-2684	126	11	vol	vol	NOUN
cana-2684	126	12	32	32	NUM
cana-2684	126	13	no	no	NOUN
cana-2684	126	14	.	.	PUNCT
cana-2684	127	1	3s	3s	NUM
cana-2684	127	2	(	(	PUNCT
cana-2684	127	3	2025	2025	NUM
cana-2684	127	4	)	)	PUNCT
cana-2684	127	5	475	475	NUM
cana-2684	127	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	127	7	figure	figure	NOUN
cana-2684	127	8	3	3	NUM
cana-2684	127	9	:	:	PUNCT
cana-2684	127	10	“	"	PUNCT
cana-2684	127	11	artificial	artificial	ADJ
cana-2684	127	12	intelligence	intelligence	NOUN
cana-2684	127	13	in	in	ADP
cana-2684	127	14	agriculture	agriculture	NOUN
cana-2684	127	15	market	market	NOUN
cana-2684	127	16	”	"	PUNCT
cana-2684	127	17	4	4	NUM
cana-2684	127	18	.	.	PUNCT
cana-2684	127	19	convolutional	convolutional	ADJ
cana-2684	127	20	neural	neural	ADJ
cana-2684	127	21	network	network	NOUN
cana-2684	127	22	(	(	PUNCT
cana-2684	127	23	cnn	cnn	PROPN
cana-2684	127	24	)	)	PUNCT
cana-2684	127	25	cnn	cnn	PROPN
cana-2684	127	26	was	be	AUX
cana-2684	127	27	used	use	VERB
cana-2684	127	28	to	to	PART
cana-2684	127	29	segment	segment	VERB
cana-2684	127	30	satellite	satellite	NOUN
cana-2684	127	31	images	image	NOUN
cana-2684	127	32	in	in	ADP
cana-2684	127	33	order	order	NOUN
cana-2684	127	34	to	to	PART
cana-2684	127	35	identify	identify	VERB
cana-2684	127	36	pest	pest	VERB
cana-2684	127	37	and	and	CCONJ
cana-2684	127	38	diseases	disease	NOUN
cana-2684	127	39	affected	affect	VERB
cana-2684	127	40	crops	crop	NOUN
cana-2684	127	41	.	.	PUNCT
cana-2684	128	1	a	a	DET
cana-2684	128	2	team	team	NOUN
cana-2684	128	3	of	of	ADP
cana-2684	128	4	authors	author	NOUN
cana-2684	128	5	described	describe	VERB
cana-2684	128	6	the	the	DET
cana-2684	128	7	model	model	NOUN
cana-2684	128	8	which	which	PRON
cana-2684	128	9	included	include	VERB
cana-2684	128	10	the	the	DET
cana-2684	128	11	convolutional	convolutional	ADJ
cana-2684	128	12	layers	layer	NOUN
cana-2684	128	13	for	for	ADP
cana-2684	128	14	feature	feature	NOUN
cana-2684	128	15	extraction	extraction	NOUN
cana-2684	128	16	,	,	PUNCT
cana-2684	128	17	followed	follow	VERB
cana-2684	128	18	by	by	ADP
cana-2684	128	19	pooling	pool	VERB
cana-2684	128	20	and	and	CCONJ
cana-2684	128	21	fully	fully	ADV
cana-2684	128	22	connected	connected	ADJ
cana-2684	128	23	layers	layer	NOUN
cana-2684	128	24	for	for	ADP
cana-2684	128	25	classification	classification	NOUN
cana-2684	128	26	.	.	PUNCT
cana-2684	129	1	key	key	ADJ
cana-2684	129	2	steps	step	NOUN
cana-2684	129	3	in	in	ADP
cana-2684	129	4	cnn	cnn	PROPN
cana-2684	129	5	implementation	implementation	NOUN
cana-2684	129	6	:	:	PUNCT
cana-2684	129	7	1	1	X
cana-2684	129	8	.	.	X
cana-2684	129	9	data	datum	NOUN
cana-2684	129	10	preprocessing	preprocessing	NOUN
cana-2684	129	11	:	:	PUNCT
cana-2684	129	12	to	to	PART
cana-2684	129	13	extend	extend	VERB
cana-2684	129	14	the	the	DET
cana-2684	129	15	number	number	NOUN
cana-2684	129	16	of	of	ADP
cana-2684	129	17	training	training	NOUN
cana-2684	129	18	images	image	NOUN
cana-2684	129	19	,	,	PUNCT
cana-2684	129	20	they	they	PRON
cana-2684	129	21	were	be	AUX
cana-2684	129	22	rescaled	rescale	VERB
cana-2684	129	23	,	,	PUNCT
cana-2684	129	24	normalized	normalize	VERB
cana-2684	129	25	and	and	CCONJ
cana-2684	129	26	augmented	augment	VERB
cana-2684	129	27	.	.	PUNCT
cana-2684	130	1	2	2	X
cana-2684	130	2	.	.	PUNCT
cana-2684	130	3	model	model	NOUN
cana-2684	130	4	architecture	architecture	NOUN
cana-2684	130	5	:	:	PUNCT
cana-2684	130	6	the	the	DET
cana-2684	130	7	actual	actual	ADJ
cana-2684	130	8	model	model	NOUN
cana-2684	130	9	employed	employ	VERB
cana-2684	130	10	was	be	AUX
cana-2684	130	11	a	a	DET
cana-2684	130	12	deep	deep	ADJ
cana-2684	130	13	cnn	cnn	NOUN
cana-2684	130	14	with	with	ADP
cana-2684	130	15	more	more	ADJ
cana-2684	130	16	than	than	ADP
cana-2684	130	17	two	two	NUM
cana-2684	130	18	convolutional	convolutional	ADJ
cana-2684	130	19	and	and	CCONJ
cana-2684	130	20	pooling	pool	VERB
cana-2684	130	21	layers	layer	NOUN
cana-2684	130	22	.	.	PUNCT
cana-2684	131	1	3	3	X
cana-2684	131	2	.	.	X
cana-2684	131	3	training	training	NOUN
cana-2684	131	4	:	:	PUNCT
cana-2684	131	5	moreover	moreover	ADV
cana-2684	131	6	,	,	PUNCT
cana-2684	131	7	the	the	DET
cana-2684	131	8	cnn	cnn	PROPN
cana-2684	131	9	model	model	NOUN
cana-2684	131	10	was	be	AUX
cana-2684	131	11	trained	train	VERB
cana-2684	131	12	with	with	ADP
cana-2684	131	13	the	the	DET
cana-2684	131	14	adam	adam	PROPN
cana-2684	131	15	optimization	optimization	NOUN
cana-2684	131	16	method	method	NOUN
cana-2684	131	17	with	with	ADP
cana-2684	131	18	0.001	0.001	NUM
cana-2684	131	19	in	in	ADP
cana-2684	131	20	the	the	DET
cana-2684	131	21	learning	learning	NOUN
cana-2684	131	22	rate	rate	NOUN
cana-2684	131	23	and	and	CCONJ
cana-2684	131	24	was	be	AUX
cana-2684	131	25	trained	train	VERB
cana-2684	131	26	using	using	NOUN
cana-2684	131	27	batch	batch	NOUN
cana-2684	131	28	size	size	NOUN
cana-2684	131	29	of	of	ADP
cana-2684	131	30	32	32	NUM
cana-2684	131	31	.	.	PUNCT
cana-2684	132	1	performance	performance	NOUN
cana-2684	132	2	results	result	NOUN
cana-2684	132	3	:	:	PUNCT
cana-2684	132	4	field	field	NOUN
cana-2684	132	5	outcomes	outcome	NOUN
cana-2684	132	6	documented	document	VERB
cana-2684	132	7	that	that	SCONJ
cana-2684	132	8	cnns	cnns	PROPN
cana-2684	132	9	outperformed	outperform	VERB
cana-2684	132	10	the	the	DET
cana-2684	132	11	conventional	conventional	ADJ
cana-2684	132	12	machine	machine	NOUN
cana-2684	132	13	learning	learning	NOUN
cana-2684	132	14	algorithms	algorithm	NOUN
cana-2684	132	15	,	,	PUNCT
cana-2684	132	16	for	for	ADP
cana-2684	132	17	example	example	NOUN
cana-2684	132	18	,	,	PUNCT
cana-2684	132	19	svm	svm	ADJ
cana-2684	132	20	,	,	PUNCT
cana-2684	132	21	and	and	CCONJ
cana-2684	132	22	randomized	randomize	VERB
cana-2684	132	23	forest	forest	NOUN
cana-2684	132	24	in	in	ADP
cana-2684	132	25	image	image	NOUN
cana-2684	132	26	-	-	PUNCT
cana-2684	132	27	based	base	VERB
cana-2684	132	28	assignments	assignment	NOUN
cana-2684	132	29	including	include	VERB
cana-2684	132	30	pest	pest	NOUN
cana-2684	132	31	identification	identification	NOUN
cana-2684	132	32	[	[	X
cana-2684	132	33	14	14	NUM
cana-2684	132	34	]	]	PUNCT
cana-2684	132	35	.	.	PUNCT
cana-2684	133	1	in	in	ADP
cana-2684	133	2	the	the	DET
cana-2684	133	3	given	give	VERB
cana-2684	133	4	images	image	NOUN
cana-2684	133	5	also	also	ADV
cana-2684	133	6	the	the	DET
cana-2684	133	7	model	model	NOUN
cana-2684	133	8	was	be	AUX
cana-2684	133	9	able	able	ADJ
cana-2684	133	10	to	to	PART
cana-2684	133	11	predict	predict	VERB
cana-2684	133	12	the	the	DET
cana-2684	133	13	patterns	pattern	NOUN
cana-2684	133	14	quite	quite	ADV
cana-2684	133	15	well	well	ADV
cana-2684	133	16	and	and	CCONJ
cana-2684	133	17	hence	hence	ADV
cana-2684	133	18	had	have	VERB
cana-2684	133	19	high	high	ADJ
cana-2684	133	20	accuracy	accuracy	NOUN
cana-2684	133	21	.	.	PUNCT
cana-2684	134	1	results	result	NOUN
cana-2684	134	2	and	and	CCONJ
cana-2684	134	3	comparison	comparison	VERB
cana-2684	134	4	the	the	DET
cana-2684	134	5	following	follow	VERB
cana-2684	134	6	two	two	NUM
cana-2684	134	7	tables	table	NOUN
cana-2684	134	8	include	include	VERB
cana-2684	134	9	the	the	DET
cana-2684	134	10	summary	summary	NOUN
cana-2684	134	11	of	of	ADP
cana-2684	134	12	each	each	DET
cana-2684	134	13	algorithm	algorithm	NOUN
cana-2684	134	14	based	base	VERB
cana-2684	134	15	on	on	ADP
cana-2684	134	16	the	the	DET
cana-2684	134	17	earlier	early	ADV
cana-2684	134	18	mentioned	mention	VERB
cana-2684	134	19	measurements	measurement	NOUN
cana-2684	134	20	.	.	PUNCT
cana-2684	135	1	the	the	DET
cana-2684	135	2	results	result	NOUN
cana-2684	135	3	presented	present	VERB
cana-2684	135	4	here	here	ADV
cana-2684	135	5	show	show	VERB
cana-2684	135	6	how	how	SCONJ
cana-2684	135	7	each	each	PRON
cana-2684	135	8	of	of	ADP
cana-2684	135	9	the	the	DET
cana-2684	135	10	algorithms	algorithm	NOUN
cana-2684	135	11	performs	perform	VERB
cana-2684	135	12	well	well	ADV
cana-2684	135	13	or	or	CCONJ
cana-2684	135	14	poorly	poorly	ADV
cana-2684	135	15	in	in	ADP
cana-2684	135	16	different	different	ADJ
cana-2684	135	17	crop	crop	NOUN
cana-2684	135	18	monitoring	monitoring	NOUN
cana-2684	135	19	tasks	task	NOUN
cana-2684	135	20	[	[	X
cana-2684	135	21	27	27	NUM
cana-2684	135	22	]	]	PUNCT
cana-2684	135	23	.	.	PUNCT
cana-2684	136	1	table	table	NOUN
cana-2684	136	2	1	1	NUM
cana-2684	136	3	:	:	PUNCT
cana-2684	136	4	performance	performance	NOUN
cana-2684	136	5	comparison	comparison	NOUN
cana-2684	136	6	of	of	ADP
cana-2684	136	7	machine	machine	NOUN
cana-2684	136	8	learning	learn	VERB
cana-2684	136	9	algorithms	algorithm	NOUN
cana-2684	136	10	algorithm	algorithm	NOUN
cana-2684	136	11	accuracy	accuracy	NOUN
cana-2684	136	12	(	(	PUNCT
cana-2684	136	13	%	%	INTJ
cana-2684	136	14	)	)	PUNCT
cana-2684	136	15	precision	precision	NOUN
cana-2684	136	16	(	(	PUNCT
cana-2684	136	17	%	%	INTJ
cana-2684	136	18	)	)	PUNCT
cana-2684	136	19	recall	recall	NOUN
cana-2684	136	20	(	(	PUNCT
cana-2684	136	21	%	%	NOUN
cana-2684	136	22	)	)	PUNCT
cana-2684	136	23	f1	f1	NOUN
cana-2684	136	24	-	-	PUNCT
cana-2684	136	25	score	score	NOUN
cana-2684	136	26	(	(	PUNCT
cana-2684	136	27	%	%	INTJ
cana-2684	136	28	)	)	PUNCT
cana-2684	136	29	decision	decision	NOUN
cana-2684	136	30	tree	tree	NOUN
cana-2684	136	31	(	(	PUNCT
cana-2684	136	32	dt	dt	NOUN
cana-2684	136	33	)	)	PUNCT
cana-2684	136	34	85.2	85.2	NUM
cana-2684	136	35	83.0	83.0	NUM
cana-2684	136	36	84.5	84.5	NUM
cana-2684	136	37	83.7	83.7	NUM
cana-2684	136	38	random	random	ADJ
cana-2684	136	39	forest	forest	NOUN
cana-2684	136	40	(	(	PUNCT
cana-2684	136	41	rf	rf	NOUN
cana-2684	136	42	)	)	PUNCT
cana-2684	136	43	91.7	91.7	NUM
cana-2684	136	44	89.6	89.6	NUM
cana-2684	136	45	90.3	90.3	NUM
cana-2684	136	46	89.9	89.9	NUM
cana-2684	136	47	support	support	NOUN
cana-2684	136	48	vector	vector	NOUN
cana-2684	136	49	machine	machine	NOUN
cana-2684	136	50	(	(	PUNCT
cana-2684	136	51	svm	svm	PROPN
cana-2684	136	52	)	)	PUNCT
cana-2684	136	53	88.3	88.3	NUM
cana-2684	136	54	87.0	87.0	NUM
cana-2684	136	55	88.0	88.0	NUM
cana-2684	136	56	87.5	87.5	NUM
cana-2684	136	57	convolutional	convolutional	ADJ
cana-2684	136	58	neural	neural	ADJ
cana-2684	136	59	network	network	NOUN
cana-2684	136	60	(	(	PUNCT
cana-2684	136	61	cnn	cnn	PROPN
cana-2684	136	62	)	)	PUNCT
cana-2684	136	63	95.6	95.6	NUM
cana-2684	136	64	94.2	94.2	NUM
cana-2684	136	65	95.0	95.0	NUM
cana-2684	136	66	94.6	94.6	NUM
cana-2684	136	67	communications	communication	NOUN
cana-2684	136	68	on	on	ADP
cana-2684	136	69	applied	apply	VERB
cana-2684	136	70	nonlinear	nonlinear	ADJ
cana-2684	136	71	analysis	analysis	NOUN
cana-2684	136	72	issn	issn	NOUN
cana-2684	136	73	:	:	PUNCT
cana-2684	136	74	1074	1074	NUM
cana-2684	136	75	-	-	PUNCT
cana-2684	136	76	133x	133x	NUM
cana-2684	136	77	vol	vol	NOUN
cana-2684	136	78	32	32	NUM
cana-2684	136	79	no	no	NOUN
cana-2684	136	80	.	.	PUNCT
cana-2684	137	1	3s	3s	NUM
cana-2684	137	2	(	(	PUNCT
cana-2684	137	3	2025	2025	NUM
cana-2684	137	4	)	)	PUNCT
cana-2684	137	5	476	476	NUM
cana-2684	137	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	137	7	observation	observation	NOUN
cana-2684	137	8	:	:	PUNCT
cana-2684	137	9	●	●	PUNCT
cana-2684	137	10	it	it	PRON
cana-2684	137	11	was	be	AUX
cana-2684	137	12	established	establish	VERB
cana-2684	137	13	that	that	SCONJ
cana-2684	137	14	the	the	DET
cana-2684	137	15	cnn	cnn	PROPN
cana-2684	137	16	had	have	VERB
cana-2684	137	17	higher	high	ADJ
cana-2684	137	18	accuracy	accuracy	NOUN
cana-2684	137	19	,	,	PUNCT
cana-2684	137	20	precision	precision	NOUN
cana-2684	137	21	,	,	PUNCT
cana-2684	137	22	recall	recall	NOUN
cana-2684	137	23	,	,	PUNCT
cana-2684	137	24	and	and	CCONJ
cana-2684	137	25	f1	f1	NOUN
cana-2684	137	26	-	-	PUNCT
cana-2684	137	27	score	score	NOUN
cana-2684	137	28	for	for	ADP
cana-2684	137	29	pest	pest	NOUN
cana-2684	137	30	detection	detection	NOUN
cana-2684	137	31	and	and	CCONJ
cana-2684	137	32	crop	crop	NOUN
cana-2684	137	33	disease	disease	NOUN
cana-2684	137	34	classification	classification	NOUN
cana-2684	137	35	,	,	PUNCT
cana-2684	137	36	which	which	PRON
cana-2684	137	37	are	be	AUX
cana-2684	137	38	image	image	NOUN
cana-2684	137	39	recognition	recognition	NOUN
cana-2684	137	40	activities	activity	NOUN
cana-2684	137	41	.	.	PUNCT
cana-2684	138	1	●	●	PUNCT
cana-2684	138	2	random	random	ADJ
cana-2684	138	3	forest	forest	NOUN
cana-2684	138	4	also	also	ADV
cana-2684	138	5	performed	perform	VERB
cana-2684	138	6	quite	quite	ADV
cana-2684	138	7	well	well	ADV
cana-2684	138	8	as	as	SCONJ
cana-2684	138	9	it	it	PRON
cana-2684	138	10	did	do	VERB
cana-2684	138	11	well	well	ADV
cana-2684	138	12	when	when	SCONJ
cana-2684	138	13	tested	test	VERB
cana-2684	138	14	on	on	ADP
cana-2684	138	15	large	large	ADJ
cana-2684	138	16	and	and	CCONJ
cana-2684	138	17	noisy	noisy	ADJ
cana-2684	138	18	data	datum	NOUN
cana-2684	138	19	.	.	PUNCT
cana-2684	139	1	●	●	PUNCT
cana-2684	139	2	these	these	PRON
cana-2684	139	3	showed	show	VERB
cana-2684	139	4	that	that	SCONJ
cana-2684	139	5	decision	decision	NOUN
cana-2684	139	6	trees	tree	NOUN
cana-2684	139	7	also	also	ADV
cana-2684	139	8	did	do	VERB
cana-2684	139	9	well	well	ADV
cana-2684	139	10	but	but	CCONJ
cana-2684	139	11	were	be	AUX
cana-2684	139	12	over	over	ADV
cana-2684	139	13	fitted	fit	VERB
cana-2684	139	14	and	and	CCONJ
cana-2684	139	15	this	this	PRON
cana-2684	139	16	was	be	AUX
cana-2684	139	17	especially	especially	ADV
cana-2684	139	18	the	the	DET
cana-2684	139	19	case	case	NOUN
cana-2684	139	20	with	with	ADP
cana-2684	139	21	deep	deep	ADJ
cana-2684	139	22	trees	tree	NOUN
cana-2684	139	23	[	[	X
cana-2684	139	24	28	28	NUM
cana-2684	139	25	]	]	PUNCT
cana-2684	139	26	.	.	PUNCT
cana-2684	140	1	●	●	PUNCT
cana-2684	140	2	svm	svm	NOUN
cana-2684	140	3	although	although	SCONJ
cana-2684	140	4	was	be	AUX
cana-2684	140	5	efficient	efficient	ADJ
cana-2684	140	6	in	in	ADP
cana-2684	140	7	disease	disease	NOUN
cana-2684	140	8	classification	classification	NOUN
cana-2684	140	9	had	have	VERB
cana-2684	140	10	slightly	slightly	ADV
cana-2684	140	11	less	less	ADJ
cana-2684	140	12	accuracy	accuracy	NOUN
cana-2684	140	13	compare	compare	NOUN
cana-2684	140	14	to	to	ADP
cana-2684	140	15	cnn	cnn	PROPN
cana-2684	140	16	,	,	PUNCT
cana-2684	140	17	random	random	ADJ
cana-2684	140	18	forest	forest	NOUN
cana-2684	140	19	.	.	PUNCT
cana-2684	141	1	figure	figure	NOUN
cana-2684	141	2	4	4	NUM
cana-2684	141	3	:	:	PUNCT
cana-2684	141	4	revolutionize	revolutionize	VERB
cana-2684	141	5	your	your	PRON
cana-2684	141	6	farm	farm	NOUN
cana-2684	141	7	table	table	NOUN
cana-2684	141	8	2	2	NUM
cana-2684	141	9	:	:	PUNCT
cana-2684	141	10	computational	computational	ADJ
cana-2684	141	11	efficiency	efficiency	NOUN
cana-2684	141	12	comparison	comparison	NOUN
cana-2684	141	13	algorithm	algorithm	NOUN
cana-2684	141	14	training	training	NOUN
cana-2684	141	15	time	time	NOUN
cana-2684	141	16	(	(	PUNCT
cana-2684	141	17	hours	hour	NOUN
cana-2684	141	18	)	)	PUNCT
cana-2684	141	19	testing	testing	NOUN
cana-2684	141	20	time	time	NOUN
cana-2684	141	21	(	(	PUNCT
cana-2684	141	22	minutes	minute	NOUN
cana-2684	141	23	)	)	PUNCT
cana-2684	141	24	memory	memory	NOUN
cana-2684	141	25	usage	usage	NOUN
cana-2684	141	26	(	(	PUNCT
cana-2684	141	27	gb	gb	NOUN
cana-2684	141	28	)	)	PUNCT
cana-2684	141	29	decision	decision	NOUN
cana-2684	141	30	tree	tree	NOUN
cana-2684	141	31	(	(	PUNCT
cana-2684	141	32	dt	dt	NOUN
cana-2684	141	33	)	)	PUNCT
cana-2684	141	34	2.5	2.5	NUM
cana-2684	141	35	0.4	0.4	NUM
cana-2684	141	36	1.2	1.2	NUM
cana-2684	141	37	random	random	ADJ
cana-2684	141	38	forest	forest	NOUN
cana-2684	141	39	(	(	PUNCT
cana-2684	141	40	rf	rf	NOUN
cana-2684	141	41	)	)	PUNCT
cana-2684	141	42	5.3	5.3	NUM
cana-2684	141	43	1.1	1.1	NUM
cana-2684	141	44	2.5	2.5	NUM
cana-2684	141	45	support	support	NOUN
cana-2684	141	46	vector	vector	NOUN
cana-2684	141	47	machine	machine	NOUN
cana-2684	141	48	(	(	PUNCT
cana-2684	141	49	svm	svm	PROPN
cana-2684	141	50	)	)	PUNCT
cana-2684	141	51	3.2	3.2	NUM
cana-2684	141	52	0.8	0.8	NUM
cana-2684	141	53	1.8	1.8	NUM
cana-2684	141	54	convolutional	convolutional	ADJ
cana-2684	141	55	neural	neural	ADJ
cana-2684	141	56	network	network	NOUN
cana-2684	141	57	(	(	PUNCT
cana-2684	141	58	cnn	cnn	PROPN
cana-2684	141	59	)	)	PUNCT
cana-2684	141	60	10.0	10.0	NUM
cana-2684	141	61	2.5	2.5	NUM
cana-2684	141	62	4.5	4.5	NUM
cana-2684	141	63	observation	observation	NOUN
cana-2684	141	64	:	:	PUNCT
cana-2684	141	65	●	●	PUNCT
cana-2684	141	66	cnns	cnn	NOUN
cana-2684	141	67	,	,	PUNCT
cana-2684	141	68	as	as	ADP
cana-2684	141	69	deep	deep	ADJ
cana-2684	141	70	learning	learning	NOUN
cana-2684	141	71	models	model	NOUN
cana-2684	141	72	,	,	PUNCT
cana-2684	141	73	are	be	AUX
cana-2684	141	74	heavy	heavy	ADJ
cana-2684	141	75	and	and	CCONJ
cana-2684	141	76	computationally	computationally	ADV
cana-2684	141	77	intensive	intensive	ADJ
cana-2684	141	78	,	,	PUNCT
cana-2684	141	79	thus	thus	ADV
cana-2684	141	80	best	well	ADV
cana-2684	141	81	used	use	VERB
cana-2684	141	82	for	for	ADP
cana-2684	141	83	small	small	ADJ
cana-2684	141	84	datasets	dataset	NOUN
cana-2684	141	85	or	or	CCONJ
cana-2684	141	86	powerful	powerful	ADJ
cana-2684	141	87	systems	system	NOUN
cana-2684	141	88	.	.	PUNCT
cana-2684	142	1	●	●	PUNCT
cana-2684	142	2	random	random	ADJ
cana-2684	142	3	forest	forest	NOUN
cana-2684	142	4	and	and	CCONJ
cana-2684	142	5	svm	svm	PROPN
cana-2684	142	6	were	be	AUX
cana-2684	142	7	reasonably	reasonably	ADV
cana-2684	142	8	fast	fast	ADJ
cana-2684	142	9	when	when	SCONJ
cana-2684	142	10	it	it	PRON
cana-2684	142	11	comes	come	VERB
cana-2684	142	12	to	to	ADP
cana-2684	142	13	both	both	CCONJ
cana-2684	142	14	train	train	NOUN
cana-2684	142	15	and	and	CCONJ
cana-2684	142	16	test	test	NOUN
cana-2684	142	17	time	time	NOUN
cana-2684	142	18	but	but	CCONJ
cana-2684	142	19	rf	rf	PRON
cana-2684	142	20	took	take	VERB
cana-2684	142	21	longer	long	ADJ
cana-2684	142	22	time	time	NOUN
cana-2684	142	23	because	because	SCONJ
cana-2684	142	24	of	of	ADP
cana-2684	142	25	its	its	PRON
cana-2684	142	26	nature	nature	NOUN
cana-2684	142	27	of	of	ADP
cana-2684	142	28	an	an	DET
cana-2684	142	29	ensemble	ensemble	ADJ
cana-2684	142	30	model	model	NOUN
cana-2684	142	31	[	[	X
cana-2684	142	32	29	29	NUM
cana-2684	142	33	]	]	PUNCT
cana-2684	142	34	.	.	PUNCT
cana-2684	143	1	●	●	PUNCT
cana-2684	143	2	from	from	ADP
cana-2684	143	3	the	the	DET
cana-2684	143	4	analysis	analysis	NOUN
cana-2684	143	5	of	of	ADP
cana-2684	143	6	the	the	DET
cana-2684	143	7	execution	execution	NOUN
cana-2684	143	8	time	time	NOUN
cana-2684	143	9	,	,	PUNCT
cana-2684	143	10	decision	decision	NOUN
cana-2684	143	11	trees	tree	NOUN
cana-2684	143	12	were	be	AUX
cana-2684	143	13	the	the	DET
cana-2684	143	14	most	most	ADV
cana-2684	143	15	efficient	efficient	ADJ
cana-2684	143	16	both	both	PRON
cana-2684	143	17	on	on	ADP
cana-2684	143	18	the	the	DET
cana-2684	143	19	training	training	NOUN
cana-2684	143	20	and	and	CCONJ
cana-2684	143	21	testing	testing	NOUN
cana-2684	143	22	phases	phase	NOUN
cana-2684	143	23	.	.	PUNCT
cana-2684	144	1	discussion	discussion	NOUN
cana-2684	144	2	the	the	DET
cana-2684	144	3	experiments	experiment	NOUN
cana-2684	144	4	have	have	AUX
cana-2684	144	5	been	be	AUX
cana-2684	144	6	proven	prove	VERB
cana-2684	144	7	right	right	ADJ
cana-2684	144	8	by	by	ADP
cana-2684	144	9	the	the	DET
cana-2684	144	10	fact	fact	NOUN
cana-2684	144	11	that	that	SCONJ
cana-2684	144	12	ai	ai	VERB
cana-2684	144	13	and	and	CCONJ
cana-2684	144	14	machine	machine	NOUN
cana-2684	144	15	learning	learn	VERB
cana-2684	144	16	techniques	technique	NOUN
cana-2684	144	17	could	could	AUX
cana-2684	144	18	be	be	AUX
cana-2684	144	19	very	very	ADV
cana-2684	144	20	helpful	helpful	ADJ
cana-2684	144	21	in	in	ADP
cana-2684	144	22	improving	improve	VERB
cana-2684	144	23	the	the	DET
cana-2684	144	24	efficiency	efficiency	NOUN
cana-2684	144	25	and	and	CCONJ
cana-2684	144	26	accuracy	accuracy	NOUN
cana-2684	144	27	of	of	ADP
cana-2684	144	28	precision	precision	NOUN
cana-2684	144	29	farming	farming	NOUN
cana-2684	144	30	.	.	PUNCT
cana-2684	145	1	the	the	DET
cana-2684	145	2	cnn	cnn	PROPN
cana-2684	145	3	was	be	AUX
cana-2684	145	4	able	able	ADJ
cana-2684	145	5	to	to	PART
cana-2684	145	6	outperform	outperform	VERB
cana-2684	145	7	other	other	ADJ
cana-2684	145	8	techniques	technique	NOUN
cana-2684	145	9	because	because	SCONJ
cana-2684	145	10	of	of	ADP
cana-2684	145	11	its	its	PRON
cana-2684	145	12	potential	potential	NOUN
cana-2684	145	13	to	to	PART
cana-2684	145	14	analyze	analyze	VERB
cana-2684	145	15	more	more	ADJ
cana-2684	145	16	complex	complex	ADJ
cana-2684	145	17	patterns	pattern	NOUN
cana-2684	145	18	in	in	ADP
cana-2684	145	19	imagery	imagery	NOUN
cana-2684	145	20	than	than	ADP
cana-2684	145	21	communications	communication	NOUN
cana-2684	145	22	on	on	ADP
cana-2684	145	23	applied	apply	VERB
cana-2684	145	24	nonlinear	nonlinear	ADJ
cana-2684	145	25	analysis	analysis	NOUN
cana-2684	145	26	issn	issn	NOUN
cana-2684	145	27	:	:	PUNCT
cana-2684	145	28	1074	1074	NUM
cana-2684	145	29	-	-	PUNCT
cana-2684	145	30	133x	133x	NUM
cana-2684	145	31	vol	vol	NOUN
cana-2684	145	32	32	32	NUM
cana-2684	145	33	no	no	NOUN
cana-2684	145	34	.	.	PUNCT
cana-2684	146	1	3s	3s	NUM
cana-2684	146	2	(	(	PUNCT
cana-2684	146	3	2025	2025	NUM
cana-2684	146	4	)	)	PUNCT
cana-2684	146	5	477	477	NUM
cana-2684	146	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	146	7	others	other	NOUN
cana-2684	146	8	,	,	PUNCT
cana-2684	146	9	which	which	PRON
cana-2684	146	10	might	might	AUX
cana-2684	146	11	be	be	AUX
cana-2684	146	12	useful	useful	ADJ
cana-2684	146	13	for	for	ADP
cana-2684	146	14	applications	application	NOUN
cana-2684	146	15	concerning	concern	VERB
cana-2684	146	16	crop	crop	NOUN
cana-2684	146	17	disease	disease	NOUN
cana-2684	146	18	and	and	CCONJ
cana-2684	146	19	pests	pest	NOUN
cana-2684	146	20	.	.	PUNCT
cana-2684	147	1	nevertheless	nevertheless	ADV
cana-2684	147	2	,	,	PUNCT
cana-2684	147	3	the	the	DET
cana-2684	147	4	high	high	ADJ
cana-2684	147	5	computational	computational	ADJ
cana-2684	147	6	needs	need	NOUN
cana-2684	147	7	make	make	VERB
cana-2684	147	8	it	it	PRON
cana-2684	147	9	less	less	ADV
cana-2684	147	10	desirable	desirable	ADJ
cana-2684	147	11	for	for	ADP
cana-2684	147	12	real	real	ADJ
cana-2684	147	13	-	-	PUNCT
cana-2684	147	14	time	time	NOUN
cana-2684	147	15	applications	application	NOUN
cana-2684	147	16	on	on	ADP
cana-2684	147	17	resource	resource	NOUN
cana-2684	147	18	-	-	PUNCT
cana-2684	147	19	constrained	constrain	VERB
cana-2684	147	20	devices	device	NOUN
cana-2684	147	21	[	[	X
cana-2684	147	22	30	30	NUM
cana-2684	147	23	]	]	PUNCT
cana-2684	147	24	.	.	PUNCT
cana-2684	148	1	random	random	ADJ
cana-2684	148	2	forest	forest	NOUN
cana-2684	148	3	was	be	AUX
cana-2684	148	4	an	an	DET
cana-2684	148	5	excellent	excellent	ADJ
cana-2684	148	6	balance	balance	NOUN
cana-2684	148	7	of	of	ADP
cana-2684	148	8	the	the	DET
cana-2684	148	9	accuracy	accuracy	NOUN
cana-2684	148	10	and	and	CCONJ
cana-2684	148	11	computational	computational	ADJ
cana-2684	148	12	intensity	intensity	NOUN
cana-2684	148	13	with	with	ADP
cana-2684	148	14	large	large	ADJ
cana-2684	148	15	-	-	PUNCT
cana-2684	148	16	scale	scale	NOUN
cana-2684	148	17	agricultural	agricultural	ADJ
cana-2684	148	18	datasets	dataset	NOUN
cana-2684	148	19	a	a	DET
cana-2684	148	20	very	very	ADV
cana-2684	148	21	practical	practical	ADJ
cana-2684	148	22	choice	choice	NOUN
cana-2684	148	23	.	.	PUNCT
cana-2684	149	1	decision	decision	NOUN
cana-2684	149	2	trees	tree	NOUN
cana-2684	149	3	were	be	AUX
cana-2684	149	4	computationally	computationally	ADV
cana-2684	149	5	efficient	efficient	ADJ
cana-2684	149	6	,	,	PUNCT
cana-2684	149	7	but	but	CCONJ
cana-2684	149	8	started	start	VERB
cana-2684	149	9	to	to	PART
cana-2684	149	10	overfit	overfit	VERB
cana-2684	149	11	in	in	ADP
cana-2684	149	12	deeper	deep	ADJ
cana-2684	149	13	trees	tree	NOUN
cana-2684	149	14	and	and	CCONJ
cana-2684	149	15	additional	additional	ADJ
cana-2684	149	16	regularization	regularization	NOUN
cana-2684	149	17	may	may	AUX
cana-2684	149	18	be	be	AUX
cana-2684	149	19	needed	need	VERB
cana-2684	149	20	to	to	PART
cana-2684	149	21	make	make	VERB
cana-2684	149	22	them	they	PRON
cana-2684	149	23	more	more	ADV
cana-2684	149	24	robust	robust	ADJ
cana-2684	149	25	.	.	PUNCT
cana-2684	150	1	v.	v.	ADP
cana-2684	150	2	conclusion	conclusion	NOUN
cana-2684	150	3	this	this	DET
cana-2684	150	4	research	research	NOUN
cana-2684	150	5	concludes	conclude	VERB
cana-2684	150	6	that	that	SCONJ
cana-2684	150	7	ai	ai	VERB
cana-2684	150	8	may	may	AUX
cana-2684	150	9	prove	prove	VERB
cana-2684	150	10	to	to	PART
cana-2684	150	11	be	be	AUX
cana-2684	150	12	the	the	DET
cana-2684	150	13	transformative	transformative	ADJ
cana-2684	150	14	force	force	NOUN
cana-2684	150	15	for	for	ADP
cana-2684	150	16	revolutionizing	revolutionize	VERB
cana-2684	150	17	precision	precision	NOUN
cana-2684	150	18	farming	farming	NOUN
cana-2684	150	19	and	and	CCONJ
cana-2684	150	20	crop	crop	NOUN
cana-2684	150	21	monitoring	monitoring	NOUN
cana-2684	150	22	.	.	PUNCT
cana-2684	151	1	integration	integration	NOUN
cana-2684	151	2	of	of	ADP
cana-2684	151	3	ai	ai	ADJ
cana-2684	151	4	-	-	PUNCT
cana-2684	151	5	related	relate	VERB
cana-2684	151	6	technologies	technology	NOUN
cana-2684	151	7	such	such	ADJ
cana-2684	151	8	as	as	ADP
cana-2684	151	9	machine	machine	NOUN
cana-2684	151	10	learning	learning	NOUN
cana-2684	151	11	,	,	PUNCT
cana-2684	151	12	deep	deep	ADJ
cana-2684	151	13	learning	learning	NOUN
cana-2684	151	14	,	,	PUNCT
cana-2684	151	15	and	and	CCONJ
cana-2684	151	16	image	image	NOUN
cana-2684	151	17	processing	processing	NOUN
cana-2684	151	18	resulted	result	VERB
cana-2684	151	19	in	in	ADP
cana-2684	151	20	the	the	DET
cana-2684	151	21	possible	possible	ADJ
cana-2684	151	22	effective	effective	ADJ
cana-2684	151	23	enhancement	enhancement	NOUN
cana-2684	151	24	of	of	ADP
cana-2684	151	25	agricultural	agricultural	ADJ
cana-2684	151	26	practice	practice	NOUN
cana-2684	151	27	through	through	ADP
cana-2684	151	28	better	well	ADJ
cana-2684	151	29	crop	crop	NOUN
cana-2684	151	30	prediction	prediction	NOUN
cana-2684	151	31	,	,	PUNCT
cana-2684	151	32	disease	disease	NOUN
cana-2684	151	33	detection	detection	NOUN
cana-2684	151	34	,	,	PUNCT
cana-2684	151	35	and	and	CCONJ
cana-2684	151	36	optimal	optimal	ADJ
cana-2684	151	37	resource	resource	NOUN
cana-2684	151	38	utilization	utilization	NOUN
cana-2684	151	39	.	.	PUNCT
cana-2684	152	1	the	the	DET
cana-2684	152	2	algorithms	algorithm	NOUN
cana-2684	152	3	and	and	CCONJ
cana-2684	152	4	their	their	PRON
cana-2684	152	5	applications	application	NOUN
cana-2684	152	6	were	be	AUX
cana-2684	152	7	used	use	VERB
cana-2684	152	8	to	to	PART
cana-2684	152	9	illustrate	illustrate	VERB
cana-2684	152	10	how	how	SCONJ
cana-2684	152	11	ai	ai	NOUN
cana-2684	152	12	could	could	AUX
cana-2684	152	13	be	be	AUX
cana-2684	152	14	a	a	DET
cana-2684	152	15	useful	useful	ADJ
cana-2684	152	16	tool	tool	NOUN
cana-2684	152	17	in	in	ADP
cana-2684	152	18	extracting	extract	VERB
cana-2684	152	19	actionable	actionable	ADJ
cana-2684	152	20	insights	insight	NOUN
cana-2684	152	21	for	for	SCONJ
cana-2684	152	22	farmers	farmer	NOUN
cana-2684	152	23	to	to	PART
cana-2684	152	24	make	make	VERB
cana-2684	152	25	data	datum	NOUN
cana-2684	152	26	-	-	PUNCT
cana-2684	152	27	driven	drive	VERB
cana-2684	152	28	decisions	decision	NOUN
cana-2684	152	29	to	to	PART
cana-2684	152	30	enhance	enhance	VERB
cana-2684	152	31	crop	crop	NOUN
cana-2684	152	32	yields	yield	NOUN
cana-2684	152	33	,	,	PUNCT
cana-2684	152	34	limit	limit	VERB
cana-2684	152	35	waste	waste	NOUN
cana-2684	152	36	,	,	PUNCT
cana-2684	152	37	and	and	CCONJ
cana-2684	152	38	involve	involve	VERB
cana-2684	152	39	as	as	ADP
cana-2684	152	40	little	little	ADJ
cana-2684	152	41	environmental	environmental	ADJ
cana-2684	152	42	impact	impact	NOUN
cana-2684	152	43	as	as	ADP
cana-2684	152	44	possible	possible	ADJ
cana-2684	152	45	in	in	ADP
cana-2684	152	46	the	the	DET
cana-2684	152	47	harvesting	harvesting	NOUN
cana-2684	152	48	process	process	NOUN
cana-2684	152	49	.	.	PUNCT
cana-2684	153	1	using	use	VERB
cana-2684	153	2	uavs	uavs	NOUN
cana-2684	153	3	and	and	CCONJ
cana-2684	153	4	remote	remote	ADJ
cana-2684	153	5	sensing	sense	VERB
cana-2684	153	6	technologies	technology	NOUN
cana-2684	153	7	mainly	mainly	ADV
cana-2684	153	8	helps	help	VERB
cana-2684	153	9	amplify	amplify	VERB
cana-2684	153	10	ai	ai	PROPN
cana-2684	153	11	's	's	PART
cana-2684	153	12	capabilities	capability	NOUN
cana-2684	153	13	in	in	ADP
cana-2684	153	14	providing	provide	VERB
cana-2684	153	15	better	well	ADJ
cana-2684	153	16	monitoring	monitoring	NOUN
cana-2684	153	17	solutions	solution	NOUN
cana-2684	153	18	over	over	ADP
cana-2684	153	19	large	large	ADJ
cana-2684	153	20	agricultural	agricultural	ADJ
cana-2684	153	21	areas	area	NOUN
cana-2684	153	22	.	.	PUNCT
cana-2684	154	1	our	our	PRON
cana-2684	154	2	results	result	NOUN
cana-2684	154	3	point	point	VERB
cana-2684	154	4	out	out	ADP
cana-2684	154	5	that	that	SCONJ
cana-2684	154	6	ai	ai	NOUN
cana-2684	154	7	-	-	PUNCT
cana-2684	154	8	based	base	VERB
cana-2684	154	9	systems	system	NOUN
cana-2684	154	10	could	could	AUX
cana-2684	154	11	significantly	significantly	ADV
cana-2684	154	12	give	give	VERB
cana-2684	154	13	more	more	ADJ
cana-2684	154	14	accuracy	accuracy	NOUN
cana-2684	154	15	in	in	ADP
cana-2684	154	16	plant	plant	NOUN
cana-2684	154	17	disease	disease	NOUN
cana-2684	154	18	detection	detection	NOUN
cana-2684	154	19	,	,	PUNCT
cana-2684	154	20	crop	crop	NOUN
cana-2684	154	21	yield	yield	NOUN
cana-2684	154	22	prediction	prediction	NOUN
cana-2684	154	23	,	,	PUNCT
cana-2684	154	24	and	and	CCONJ
cana-2684	154	25	soil	soil	NOUN
cana-2684	154	26	and	and	CCONJ
cana-2684	154	27	environmental	environmental	ADJ
cana-2684	154	28	condition	condition	NOUN
cana-2684	154	29	monitoring	monitoring	NOUN
cana-2684	154	30	than	than	ADP
cana-2684	154	31	the	the	DET
cana-2684	154	32	traditional	traditional	ADJ
cana-2684	154	33	methodology	methodology	NOUN
cana-2684	154	34	.	.	PUNCT
cana-2684	155	1	apart	apart	ADV
cana-2684	155	2	from	from	ADP
cana-2684	155	3	higher	high	ADJ
cana-2684	155	4	productivity	productivity	NOUN
cana-2684	155	5	,	,	PUNCT
cana-2684	155	6	it	it	PRON
cana-2684	155	7	also	also	ADV
cana-2684	155	8	leads	lead	VERB
cana-2684	155	9	to	to	ADP
cana-2684	155	10	sustainable	sustainable	ADJ
cana-2684	155	11	farming	farming	NOUN
cana-2684	155	12	in	in	ADP
cana-2684	155	13	a	a	DET
cana-2684	155	14	sense	sense	NOUN
cana-2684	155	15	that	that	PRON
cana-2684	155	16	increases	increase	VERB
cana-2684	155	17	water	water	NOUN
cana-2684	155	18	,	,	PUNCT
cana-2684	155	19	fertilizer	fertilizer	NOUN
cana-2684	155	20	,	,	PUNCT
cana-2684	155	21	and	and	CCONJ
cana-2684	155	22	pesticide	pesticide	NOUN
cana-2684	155	23	usage	usage	NOUN
cana-2684	155	24	optimization	optimization	NOUN
cana-2684	155	25	.	.	PUNCT
cana-2684	156	1	the	the	DET
cana-2684	156	2	integration	integration	NOUN
cana-2684	156	3	of	of	ADP
cana-2684	156	4	ai	ai	VERB
cana-2684	156	5	with	with	ADP
cana-2684	156	6	iot	iot	NOUN
cana-2684	156	7	and	and	CCONJ
cana-2684	156	8	drones	drone	NOUN
cana-2684	156	9	further	far	ADV
cana-2684	156	10	enables	enable	VERB
cana-2684	156	11	real	real	ADJ
cana-2684	156	12	-	-	PUNCT
cana-2684	156	13	time	time	NOUN
cana-2684	156	14	monitoring	monitoring	NOUN
cana-2684	156	15	and	and	CCONJ
cana-2684	156	16	automated	automate	VERB
cana-2684	156	17	intervention	intervention	NOUN
cana-2684	156	18	,	,	PUNCT
cana-2684	156	19	thus	thus	ADV
cana-2684	156	20	forming	form	VERB
cana-2684	156	21	smarter	smart	ADJ
cana-2684	156	22	farming	farming	NOUN
cana-2684	156	23	systems	system	NOUN
cana-2684	156	24	.	.	PUNCT
cana-2684	157	1	despite	despite	SCONJ
cana-2684	157	2	the	the	DET
cana-2684	157	3	challenges	challenge	NOUN
cana-2684	157	4	ranging	range	VERB
cana-2684	157	5	from	from	ADP
cana-2684	157	6	data	datum	NOUN
cana-2684	157	7	quality	quality	NOUN
cana-2684	157	8	and	and	CCONJ
cana-2684	157	9	very	very	ADV
cana-2684	157	10	high	high	ADJ
cana-2684	157	11	computational	computational	ADJ
cana-2684	157	12	costs	cost	NOUN
cana-2684	157	13	,	,	PUNCT
cana-2684	157	14	the	the	DET
cana-2684	157	15	advancements	advancement	NOUN
cana-2684	157	16	of	of	ADP
cana-2684	157	17	ai	ai	PRON
cana-2684	157	18	algorithms	algorithm	NOUN
cana-2684	157	19	and	and	CCONJ
cana-2684	157	20	technologies	technology	NOUN
cana-2684	157	21	will	will	AUX
cana-2684	157	22	continue	continue	VERB
cana-2684	157	23	to	to	PART
cana-2684	157	24	evolve	evolve	VERB
cana-2684	157	25	into	into	ADP
cana-2684	157	26	promising	promising	ADJ
cana-2684	157	27	enhancements	enhancement	NOUN
cana-2684	157	28	in	in	ADP
cana-2684	157	29	food	food	NOUN
cana-2684	157	30	security	security	NOUN
cana-2684	157	31	,	,	PUNCT
cana-2684	157	32	a	a	DET
cana-2684	157	33	better	well	ADJ
cana-2684	157	34	livelihood	livelihood	NOUN
cana-2684	157	35	for	for	ADP
cana-2684	157	36	farmers	farmer	NOUN
cana-2684	157	37	,	,	PUNCT
cana-2684	157	38	and	and	CCONJ
cana-2684	157	39	sustainable	sustainable	ADJ
cana-2684	157	40	agricultural	agricultural	ADJ
cana-2684	157	41	practices	practice	NOUN
cana-2684	157	42	facing	face	VERB
cana-2684	157	43	rising	rise	VERB
cana-2684	157	44	global	global	ADJ
cana-2684	157	45	demands	demand	NOUN
cana-2684	157	46	for	for	ADP
cana-2684	157	47	food	food	NOUN
cana-2684	157	48	.	.	PUNCT
cana-2684	158	1	therefore	therefore	ADV
cana-2684	158	2	,	,	PUNCT
cana-2684	158	3	ai	ai	VERB
cana-2684	158	4	has	have	VERB
cana-2684	158	5	a	a	DET
cana-2684	158	6	prospective	prospective	ADJ
cana-2684	158	7	place	place	NOUN
cana-2684	158	8	as	as	ADP
cana-2684	158	9	the	the	DET
cana-2684	158	10	cornerstone	cornerstone	NOUN
cana-2684	158	11	for	for	ADP
cana-2684	158	12	future	future	ADJ
cana-2684	158	13	agricultural	agricultural	ADJ
cana-2684	158	14	innovations	innovation	NOUN
cana-2684	158	15	.	.	PUNCT
cana-2684	159	1	reference	reference	NOUN
cana-2684	159	2	[	[	X
cana-2684	159	3	1	1	NUM
cana-2684	159	4	]	]	PUNCT
cana-2684	159	5	addas	addas	PROPN
cana-2684	159	6	,	,	PUNCT
cana-2684	159	7	a.	a.	PROPN
cana-2684	159	8	,	,	PUNCT
cana-2684	159	9	tahir	tahir	PROPN
cana-2684	159	10	,	,	PUNCT
cana-2684	159	11	m.	m.	NOUN
cana-2684	159	12	and	and	CCONJ
cana-2684	159	13	ismat	ismat	NOUN
cana-2684	159	14	,	,	PUNCT
cana-2684	159	15	n.	n.	NOUN
cana-2684	159	16	,	,	PUNCT
cana-2684	159	17	2024	2024	NUM
cana-2684	159	18	.	.	PUNCT
cana-2684	160	1	enhancing	enhance	VERB
cana-2684	160	2	precision	precision	NOUN
cana-2684	160	3	of	of	ADP
cana-2684	160	4	crop	crop	NOUN
cana-2684	160	5	farming	farming	NOUN
cana-2684	160	6	towards	towards	ADP
cana-2684	160	7	smart	smart	ADJ
cana-2684	160	8	cities	city	NOUN
cana-2684	160	9	:	:	PUNCT
cana-2684	160	10	an	an	DET
cana-2684	160	11	application	application	NOUN
cana-2684	160	12	of	of	ADP
cana-2684	160	13	artificial	artificial	ADJ
cana-2684	160	14	intelligence	intelligence	NOUN
cana-2684	160	15	.	.	PUNCT
cana-2684	161	1	sustainability	sustainability	NOUN
cana-2684	161	2	,	,	PUNCT
cana-2684	161	3	16(1	16(1	NUM
cana-2684	161	4	)	)	PUNCT
cana-2684	161	5	,	,	PUNCT
cana-2684	161	6	pp	pp	ADJ
cana-2684	161	7	.	.	PUNCT
cana-2684	161	8	355	355	NUM
cana-2684	161	9	.	.	PUNCT
cana-2684	162	1	[	[	X
cana-2684	162	2	2	2	NUM
cana-2684	162	3	]	]	X
cana-2684	162	4	ahmad	ahmad	PROPN
cana-2684	162	5	,	,	PUNCT
cana-2684	162	6	u.	u.	PROPN
cana-2684	162	7	,	,	PUNCT
cana-2684	162	8	nasirahmadi	nasirahmadi	NOUN
cana-2684	162	9	,	,	PUNCT
cana-2684	162	10	a.	a.	PROPN
cana-2684	162	11	,	,	PUNCT
cana-2684	162	12	hensel	hensel	PROPN
cana-2684	162	13	,	,	PUNCT
cana-2684	162	14	o.	o.	PROPN
cana-2684	162	15	and	and	CCONJ
cana-2684	162	16	marino	marino	PROPN
cana-2684	162	17	,	,	PUNCT
cana-2684	162	18	s.	s.	PROPN
cana-2684	162	19	,	,	PUNCT
cana-2684	162	20	2022	2022	NUM
cana-2684	162	21	.	.	PUNCT
cana-2684	163	1	technology	technology	NOUN
cana-2684	163	2	and	and	CCONJ
cana-2684	163	3	data	datum	NOUN
cana-2684	163	4	fusion	fusion	NOUN
cana-2684	163	5	methods	method	NOUN
cana-2684	163	6	to	to	PART
cana-2684	163	7	enhance	enhance	VERB
cana-2684	163	8	site	site	NOUN
cana-2684	163	9	-	-	PUNCT
cana-2684	163	10	specific	specific	ADJ
cana-2684	163	11	crop	crop	NOUN
cana-2684	163	12	monitoring	monitoring	NOUN
cana-2684	163	13	.	.	PUNCT
cana-2684	164	1	agronomy	agronomy	NOUN
cana-2684	164	2	,	,	PUNCT
cana-2684	164	3	12(3	12(3	NUM
cana-2684	164	4	)	)	PUNCT
cana-2684	164	5	,	,	PUNCT
cana-2684	164	6	pp	pp	ADJ
cana-2684	164	7	.	.	PUNCT
cana-2684	165	1	555	555	NUM
cana-2684	165	2	.	.	PUNCT
cana-2684	166	1	[	[	X
cana-2684	166	2	3	3	NUM
cana-2684	166	3	]	]	X
cana-2684	166	4	aslan	aslan	PROPN
cana-2684	166	5	,	,	PUNCT
cana-2684	166	6	m.f	m.f	PROPN
cana-2684	166	7	.	.	PROPN
cana-2684	166	8	,	,	PUNCT
cana-2684	166	9	sabanci	sabanci	PROPN
cana-2684	166	10	,	,	PUNCT
cana-2684	166	11	k.	k.	PROPN
cana-2684	166	12	and	and	CCONJ
cana-2684	166	13	aslan	aslan	PROPN
cana-2684	166	14	,	,	PUNCT
cana-2684	166	15	b.	b.	PROPN
cana-2684	166	16	,	,	PUNCT
cana-2684	166	17	2024	2024	NUM
cana-2684	166	18	.	.	PUNCT
cana-2684	166	19	artificial	artificial	ADJ
cana-2684	166	20	intelligence	intelligence	NOUN
cana-2684	166	21	techniques	technique	NOUN
cana-2684	166	22	in	in	ADP
cana-2684	166	23	crop	crop	NOUN
cana-2684	166	24	yield	yield	NOUN
cana-2684	166	25	estimation	estimation	NOUN
cana-2684	166	26	based	base	VERB
cana-2684	166	27	on	on	ADP
cana-2684	166	28	sentinel-2	sentinel-2	ADJ
cana-2684	166	29	data	datum	NOUN
cana-2684	166	30	:	:	PUNCT
cana-2684	166	31	a	a	DET
cana-2684	166	32	comprehensive	comprehensive	ADJ
cana-2684	166	33	survey	survey	NOUN
cana-2684	166	34	.	.	PUNCT
cana-2684	167	1	sustainability	sustainability	NOUN
cana-2684	167	2	,	,	PUNCT
cana-2684	167	3	16(18	16(18	PROPN
cana-2684	167	4	)	)	PUNCT
cana-2684	167	5	,	,	PUNCT
cana-2684	167	6	pp	pp	ADP
cana-2684	167	7	.	.	PUNCT
cana-2684	167	8	8277	8277	NUM
cana-2684	167	9	.	.	PUNCT
cana-2684	168	1	[	[	X
cana-2684	168	2	4	4	NUM
cana-2684	168	3	]	]	X
cana-2684	168	4	assimakopoulos	assimakopoulos	PROPN
cana-2684	168	5	,	,	PUNCT
cana-2684	168	6	f.	f.	PROPN
cana-2684	168	7	,	,	PUNCT
cana-2684	168	8	vassilakis	vassilakis	PROPN
cana-2684	168	9	,	,	PUNCT
cana-2684	168	10	c.	c.	NOUN
cana-2684	168	11	,	,	PUNCT
cana-2684	168	12	margaris	margaris	PROPN
cana-2684	168	13	,	,	PUNCT
cana-2684	168	14	d.	d.	PROPN
cana-2684	168	15	,	,	PUNCT
cana-2684	168	16	kotis	kotis	PROPN
cana-2684	168	17	,	,	PUNCT
cana-2684	168	18	k.	k.	PROPN
cana-2684	168	19	and	and	CCONJ
cana-2684	168	20	spiliotopoulos	spiliotopoulos	PROPN
cana-2684	168	21	,	,	PUNCT
cana-2684	168	22	d.	d.	PROPN
cana-2684	168	23	,	,	PUNCT
cana-2684	168	24	2024	2024	NUM
cana-2684	168	25	.	.	PUNCT
cana-2684	169	1	the	the	DET
cana-2684	169	2	implementation	implementation	NOUN
cana-2684	169	3	of	of	ADP
cana-2684	169	4	“	"	PUNCT
cana-2684	169	5	smart	smart	ADJ
cana-2684	169	6	”	"	PUNCT
cana-2684	169	7	technologies	technology	NOUN
cana-2684	169	8	in	in	ADP
cana-2684	169	9	the	the	DET
cana-2684	169	10	agricultural	agricultural	ADJ
cana-2684	169	11	sector	sector	NOUN
cana-2684	169	12	:	:	PUNCT
cana-2684	169	13	a	a	DET
cana-2684	169	14	review	review	NOUN
cana-2684	169	15	.	.	PUNCT
cana-2684	170	1	information	information	NOUN
cana-2684	170	2	,	,	PUNCT
cana-2684	170	3	15(8	15(8	NOUN
cana-2684	170	4	)	)	PUNCT
cana-2684	170	5	,	,	PUNCT
cana-2684	170	6	pp	pp	ADP
cana-2684	170	7	.	.	PUNCT
cana-2684	171	1	466	466	NUM
cana-2684	171	2	.	.	PUNCT
cana-2684	172	1	[	[	X
cana-2684	172	2	5	5	NUM
cana-2684	172	3	]	]	X
cana-2684	172	4	balaska	balaska	ADJ
cana-2684	172	5	,	,	PUNCT
cana-2684	172	6	v.	v.	ADV
cana-2684	172	7	,	,	PUNCT
cana-2684	172	8	adamidou	adamidou	PROPN
cana-2684	172	9	,	,	PUNCT
cana-2684	172	10	z.	z.	PROPN
cana-2684	172	11	,	,	PUNCT
cana-2684	172	12	vryzas	vryzas	PROPN
cana-2684	172	13	,	,	PUNCT
cana-2684	172	14	z.	z.	PROPN
cana-2684	172	15	and	and	CCONJ
cana-2684	172	16	gasteratos	gasteratos	PROPN
cana-2684	172	17	,	,	PUNCT
cana-2684	172	18	a.	a.	NOUN
cana-2684	172	19	,	,	PUNCT
cana-2684	172	20	2023	2023	NUM
cana-2684	172	21	.	.	PUNCT
cana-2684	173	1	sustainable	sustainable	ADJ
cana-2684	173	2	crop	crop	NOUN
cana-2684	173	3	protection	protection	NOUN
cana-2684	173	4	via	via	ADP
cana-2684	173	5	robotics	robotic	NOUN
cana-2684	173	6	and	and	CCONJ
cana-2684	173	7	artificial	artificial	ADJ
cana-2684	173	8	intelligence	intelligence	NOUN
cana-2684	173	9	solutions	solution	NOUN
cana-2684	173	10	.	.	PUNCT
cana-2684	174	1	machines	machine	NOUN
cana-2684	174	2	,	,	PUNCT
cana-2684	174	3	11(8	11(8	PROPN
cana-2684	174	4	)	)	PUNCT
cana-2684	174	5	,	,	PUNCT
cana-2684	174	6	pp	pp	ADP
cana-2684	174	7	.	.	PUNCT
cana-2684	174	8	774	774	NUM
cana-2684	174	9	.	.	PUNCT
cana-2684	175	1	[	[	X
cana-2684	175	2	6	6	NUM
cana-2684	175	3	]	]	SYM
cana-2684	175	4	balyan	balyan	NOUN
cana-2684	175	5	,	,	PUNCT
cana-2684	175	6	s.	s.	PROPN
cana-2684	175	7	,	,	PUNCT
cana-2684	175	8	jangir	jangir	PROPN
cana-2684	175	9	,	,	PUNCT
cana-2684	175	10	h.	h.	PROPN
cana-2684	175	11	,	,	PUNCT
cana-2684	175	12	tripathi	tripathi	PROPN
cana-2684	175	13	,	,	PUNCT
cana-2684	175	14	s.n	s.n	PROPN
cana-2684	175	15	.	.	PROPN
cana-2684	175	16	,	,	PUNCT
cana-2684	175	17	tripathi	tripathi	PROPN
cana-2684	175	18	,	,	PUNCT
cana-2684	175	19	a.	a.	PROPN
cana-2684	175	20	,	,	PUNCT
cana-2684	175	21	jhang	jhang	PROPN
cana-2684	175	22	,	,	PUNCT
cana-2684	175	23	t.	t.	PROPN
cana-2684	175	24	and	and	CCONJ
cana-2684	175	25	pandey	pandey	PROPN
cana-2684	175	26	,	,	PUNCT
cana-2684	175	27	p.	p.	PROPN
cana-2684	175	28	,	,	PUNCT
cana-2684	175	29	2024	2024	NUM
cana-2684	175	30	.	.	PUNCT
cana-2684	176	1	seeding	seed	VERB
cana-2684	176	2	a	a	DET
cana-2684	176	3	sustainable	sustainable	ADJ
cana-2684	176	4	future	future	NOUN
cana-2684	176	5	:	:	PUNCT
cana-2684	176	6	navigating	navigate	VERB
cana-2684	176	7	the	the	DET
cana-2684	176	8	digital	digital	ADJ
cana-2684	176	9	horizon	horizon	NOUN
cana-2684	176	10	of	of	ADP
cana-2684	176	11	smart	smart	ADJ
cana-2684	176	12	agriculture	agriculture	NOUN
cana-2684	176	13	.	.	PUNCT
cana-2684	177	1	sustainability	sustainability	NOUN
cana-2684	177	2	,	,	PUNCT
cana-2684	177	3	16(2	16(2	NUM
cana-2684	177	4	)	)	PUNCT
cana-2684	177	5	,	,	PUNCT
cana-2684	177	6	pp	pp	ADJ
cana-2684	177	7	.	.	PUNCT
cana-2684	178	1	475	475	NUM
cana-2684	178	2	.	.	PUNCT
cana-2684	179	1	[	[	X
cana-2684	179	2	7	7	NUM
cana-2684	179	3	]	]	X
cana-2684	179	4	chergui	chergui	NOUN
cana-2684	179	5	,	,	PUNCT
cana-2684	179	6	n.	n.	NOUN
cana-2684	179	7	and	and	CCONJ
cana-2684	179	8	kechadi	kechadi	NOUN
cana-2684	179	9	,	,	PUNCT
cana-2684	179	10	m.t	m.t	PROPN
cana-2684	179	11	.	.	PROPN
cana-2684	179	12	,	,	PUNCT
cana-2684	179	13	2022	2022	NUM
cana-2684	179	14	.	.	PUNCT
cana-2684	180	1	data	datum	NOUN
cana-2684	180	2	analytics	analytic	NOUN
cana-2684	180	3	for	for	ADP
cana-2684	180	4	crop	crop	NOUN
cana-2684	180	5	management	management	NOUN
cana-2684	180	6	:	:	PUNCT
cana-2684	180	7	a	a	DET
cana-2684	180	8	big	big	ADJ
cana-2684	180	9	data	data	NOUN
cana-2684	180	10	view	view	NOUN
cana-2684	180	11	.	.	PUNCT
cana-2684	181	1	journal	journal	NOUN
cana-2684	181	2	of	of	ADP
cana-2684	181	3	big	big	ADJ
cana-2684	181	4	data	datum	NOUN
cana-2684	181	5	,	,	PUNCT
cana-2684	181	6	9(1	9(1	NUM
cana-2684	181	7	)	)	PUNCT
cana-2684	181	8	,	,	PUNCT
cana-2684	181	9	pp	pp	ADP
cana-2684	181	10	.	.	PUNCT
cana-2684	182	1	123	123	NUM
cana-2684	182	2	.	.	PUNCT
cana-2684	183	1	[	[	X
cana-2684	183	2	8	8	NUM
cana-2684	183	3	]	]	SYM
cana-2684	183	4	divyajyothi	divyajyothi	NOUN
cana-2684	183	5	,	,	PUNCT
cana-2684	183	6	m.g	m.g	PROPN
cana-2684	183	7	.	.	PROPN
cana-2684	183	8	,	,	PUNCT
cana-2684	183	9	jopate	jopate	PROPN
cana-2684	183	10	,	,	PUNCT
cana-2684	183	11	r.	r.	PROPN
cana-2684	183	12	,	,	PUNCT
cana-2684	183	13	rabia	rabia	PROPN
cana-2684	183	14	abdulrahim	abdulrahim	PROPN
cana-2684	183	15	,	,	PUNCT
cana-2684	183	16	a.a	a.a	PROPN
cana-2684	183	17	.	.	PROPN
cana-2684	183	18	and	and	CCONJ
cana-2684	183	19	saleh	saleh	PROPN
cana-2684	183	20	abdullah	abdullah	PROPN
cana-2684	183	21	saleh	saleh	PROPN
cana-2684	183	22	,	,	PUNCT
cana-2684	183	23	a.b	a.b	PROPN
cana-2684	183	24	.	.	PROPN
cana-2684	183	25	,	,	PUNCT
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cana-2684	183	27	.	.	PUNCT
cana-2684	184	1	ai	ai	VERB
cana-2684	184	2	precision	precision	NOUN
cana-2684	184	3	for	for	ADP
cana-2684	184	4	irrigation	irrigation	NOUN
cana-2684	184	5	,	,	PUNCT
cana-2684	184	6	crop	crop	NOUN
cana-2684	184	7	management	management	NOUN
cana-2684	184	8	,	,	PUNCT
cana-2684	184	9	and	and	CCONJ
cana-2684	184	10	pest	pest	VERB
cana-2684	184	11	control	control	NOUN
cana-2684	184	12	for	for	ADP
cana-2684	184	13	sustainable	sustainable	ADJ
cana-2684	184	14	agriculture	agriculture	NOUN
cana-2684	184	15	in	in	ADP
cana-2684	184	16	oman	oman	PROPN
cana-2684	184	17	.	.	PUNCT
cana-2684	185	1	iop	iop	PROPN
cana-2684	185	2	conference	conference	NOUN
cana-2684	185	3	series.earth	series.earth	PROPN
cana-2684	185	4	and	and	CCONJ
cana-2684	185	5	environmental	environmental	ADJ
cana-2684	185	6	science	science	NOUN
cana-2684	185	7	,	,	PUNCT
cana-2684	185	8	1401(1	1401(1	NUM
cana-2684	185	9	)	)	PUNCT
cana-2684	185	10	,	,	PUNCT
cana-2684	185	11	pp	pp	PROPN
cana-2684	185	12	.	.	PUNCT
cana-2684	185	13	012005	012005	NUM
cana-2684	185	14	.	.	PUNCT
cana-2684	186	1	[	[	X
cana-2684	186	2	9	9	NUM
cana-2684	186	3	]	]	SYM
cana-2684	186	4	e	e	NOUN
cana-2684	186	5	,	,	PUNCT
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cana-2684	186	7	.	.	PROPN
cana-2684	186	8	,	,	PUNCT
cana-2684	186	9	anh	anh	PROPN
cana-2684	186	10	,	,	PUNCT
cana-2684	186	11	t.l	t.l	PROPN
cana-2684	186	12	.	.	PROPN
cana-2684	186	13	,	,	PUNCT
cana-2684	186	14	heo	heo	PROPN
cana-2684	186	15	,	,	PUNCT
cana-2684	186	16	s.	s.	PROPN
cana-2684	186	17	,	,	PUNCT
cana-2684	186	18	chung	chung	PROPN
cana-2684	186	19	,	,	PUNCT
cana-2684	186	20	y.s	y.s	PROPN
cana-2684	186	21	.	.	PROPN
cana-2684	186	22	and	and	CCONJ
cana-2684	186	23	mansoor	mansoor	PROPN
cana-2684	186	24	,	,	PUNCT
cana-2684	186	25	s.	s.	PROPN
cana-2684	186	26	,	,	PUNCT
cana-2684	186	27	2023	2023	NUM
cana-2684	186	28	.	.	PUNCT
cana-2684	187	1	the	the	DET
cana-2684	187	2	path	path	NOUN
cana-2684	187	3	to	to	PART
cana-2684	187	4	smart	smart	ADJ
cana-2684	187	5	farming	farming	NOUN
cana-2684	187	6	:	:	PUNCT
cana-2684	187	7	innovations	innovation	NOUN
cana-2684	187	8	and	and	CCONJ
cana-2684	187	9	opportunities	opportunity	NOUN
cana-2684	187	10	in	in	ADP
cana-2684	187	11	precision	precision	NOUN
cana-2684	187	12	agriculture	agriculture	NOUN
cana-2684	187	13	.	.	PUNCT
cana-2684	188	1	agriculture	agriculture	NOUN
cana-2684	188	2	,	,	PUNCT
cana-2684	188	3	13(8	13(8	NUM
cana-2684	188	4	)	)	PUNCT
cana-2684	188	5	,	,	PUNCT
cana-2684	188	6	pp	pp	ADJ
cana-2684	188	7	.	.	PUNCT
cana-2684	188	8	1593	1593	NUM
cana-2684	188	9	.	.	PUNCT
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cana-2684	189	2	10	10	NUM
cana-2684	189	3	]	]	X
cana-2684	189	4	elisha	elisha	PROPN
cana-2684	189	5	elikem	elikem	NOUN
cana-2684	189	6	,	,	PUNCT
cana-2684	189	7	k.s	k.s	PROPN
cana-2684	189	8	.	.	PROPN
cana-2684	189	9	,	,	PUNCT
cana-2684	189	10	anggraini	anggraini	PROPN
cana-2684	189	11	,	,	PUNCT
cana-2684	189	12	l.	l.	PROPN
cana-2684	189	13	,	,	PUNCT
cana-2684	189	14	kumi	kumi	PROPN
cana-2684	189	15	,	,	PUNCT
cana-2684	189	16	j.a	j.a	PROPN
cana-2684	189	17	.	.	PROPN
cana-2684	189	18	,	,	PUNCT
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cana-2684	189	20	,	,	PUNCT
cana-2684	189	21	b.k	b.k	PROPN
cana-2684	189	22	.	.	PROPN
cana-2684	189	23	,	,	PUNCT
cana-2684	189	24	akansah	akansah	PROPN
cana-2684	189	25	,	,	PUNCT
cana-2684	189	26	e.	e.	PROPN
cana-2684	189	27	,	,	PUNCT
cana-2684	189	28	hafeez	hafeez	PROPN
cana-2684	189	29	,	,	PUNCT
cana-2684	189	30	a.s	a.s	PROPN
cana-2684	189	31	.	.	PROPN
cana-2684	189	32	,	,	PUNCT
cana-2684	189	33	mendonça	mendonça	PROPN
cana-2684	189	34	,	,	PUNCT
cana-2684	189	35	i.	i.	NOUN
cana-2684	189	36	and	and	CCONJ
cana-2684	189	37	aritsugi	aritsugi	PROPN
cana-2684	189	38	,	,	PUNCT
cana-2684	189	39	m.	m.	NOUN
cana-2684	189	40	,	,	PUNCT
cana-2684	189	41	2024	2024	NUM
cana-2684	189	42	.	.	PUNCT
cana-2684	190	1	iot	iot	PROPN
cana-2684	190	2	solutions	solution	NOUN
cana-2684	190	3	with	with	ADP
cana-2684	190	4	artificial	artificial	ADJ
cana-2684	190	5	intelligence	intelligence	NOUN
cana-2684	190	6	technologies	technology	NOUN
cana-2684	190	7	for	for	ADP
cana-2684	190	8	precision	precision	NOUN
cana-2684	190	9	agriculture	agriculture	NOUN
cana-2684	190	10	:	:	PUNCT
cana-2684	190	11	definitions	definition	NOUN
cana-2684	190	12	,	,	PUNCT
cana-2684	190	13	applications	application	NOUN
cana-2684	190	14	,	,	PUNCT
cana-2684	190	15	challenges	challenge	NOUN
cana-2684	190	16	,	,	PUNCT
cana-2684	190	17	and	and	CCONJ
cana-2684	190	18	opportunities	opportunity	NOUN
cana-2684	190	19	.	.	PUNCT
cana-2684	191	1	electronics	electronic	NOUN
cana-2684	191	2	,	,	PUNCT
cana-2684	191	3	13(10	13(10	NUM
cana-2684	191	4	)	)	PUNCT
cana-2684	191	5	,	,	PUNCT
cana-2684	191	6	pp	pp	ADJ
cana-2684	191	7	.	.	PUNCT
cana-2684	191	8	1894	1894	NUM
cana-2684	191	9	.	.	PUNCT
cana-2684	192	1	[	[	X
cana-2684	192	2	11	11	NUM
cana-2684	192	3	]	]	X
cana-2684	192	4	fuentes	fuente	NOUN
cana-2684	192	5	-	-	PUNCT
cana-2684	192	6	peñailillo	peñailillo	PROPN
cana-2684	192	7	,	,	PUNCT
cana-2684	192	8	f.	f.	PROPN
cana-2684	192	9	,	,	PUNCT
cana-2684	192	10	gutter	gutter	NOUN
cana-2684	192	11	,	,	PUNCT
cana-2684	192	12	k.	k.	PROPN
cana-2684	192	13	,	,	PUNCT
cana-2684	192	14	vega	vega	PROPN
cana-2684	192	15	,	,	PUNCT
cana-2684	192	16	r.	r.	PROPN
cana-2684	192	17	and	and	CCONJ
cana-2684	192	18	gilda	gilda	PROPN
cana-2684	192	19	,	,	PUNCT
cana-2684	192	20	c.s	c.s	PROPN
cana-2684	192	21	.	.	PROPN
cana-2684	192	22	,	,	PUNCT
cana-2684	192	23	2024	2024	NUM
cana-2684	192	24	.	.	PUNCT
cana-2684	193	1	new	new	ADJ
cana-2684	193	2	generation	generation	NOUN
cana-2684	193	3	sustainable	sustainable	ADJ
cana-2684	193	4	technologies	technology	NOUN
cana-2684	193	5	for	for	ADP
cana-2684	193	6	soilless	soilless	NOUN
cana-2684	193	7	vegetable	vegetable	NOUN
cana-2684	193	8	production	production	NOUN
cana-2684	193	9	.	.	PUNCT
cana-2684	194	1	horticulturae	horticulturae	PROPN
cana-2684	194	2	,	,	PUNCT
cana-2684	194	3	10(1	10(1	NUM
cana-2684	194	4	)	)	PUNCT
cana-2684	194	5	,	,	PUNCT
cana-2684	194	6	pp	pp	PROPN
cana-2684	194	7	.	.	PUNCT
cana-2684	194	8	49	49	NUM
cana-2684	194	9	.	.	PUNCT
cana-2684	195	1	communications	communication	NOUN
cana-2684	195	2	on	on	ADP
cana-2684	195	3	applied	apply	VERB
cana-2684	195	4	nonlinear	nonlinear	ADJ
cana-2684	195	5	analysis	analysis	NOUN
cana-2684	195	6	issn	issn	NOUN
cana-2684	195	7	:	:	PUNCT
cana-2684	195	8	1074	1074	NUM
cana-2684	195	9	-	-	PUNCT
cana-2684	195	10	133x	133x	NUM
cana-2684	195	11	vol	vol	NOUN
cana-2684	195	12	32	32	NUM
cana-2684	195	13	no	no	NOUN
cana-2684	195	14	.	.	PUNCT
cana-2684	196	1	3s	3s	NUM
cana-2684	196	2	(	(	PUNCT
cana-2684	196	3	2025	2025	NUM
cana-2684	196	4	)	)	PUNCT
cana-2684	196	5	478	478	NUM
cana-2684	196	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2684	197	1	[	[	X
cana-2684	197	2	12	12	NUM
cana-2684	197	3	]	]	X
cana-2684	197	4	fuentes	fuente	NOUN
cana-2684	197	5	-	-	PUNCT
cana-2684	197	6	peñailillo	peñailillo	PROPN
cana-2684	197	7	,	,	PUNCT
cana-2684	197	8	f.	f.	PROPN
cana-2684	197	9	,	,	PUNCT
cana-2684	197	10	gutter	gutter	NOUN
cana-2684	197	11	,	,	PUNCT
cana-2684	197	12	k.	k.	PROPN
cana-2684	197	13	,	,	PUNCT
cana-2684	197	14	vega	vega	PROPN
cana-2684	197	15	,	,	PUNCT
cana-2684	197	16	r.	r.	PROPN
cana-2684	197	17	and	and	CCONJ
cana-2684	197	18	gilda	gilda	PROPN
cana-2684	197	19	,	,	PUNCT
cana-2684	197	20	c.s	c.s	PROPN
cana-2684	197	21	.	.	PROPN
cana-2684	197	22	,	,	PUNCT
cana-2684	197	23	2024	2024	NUM
cana-2684	197	24	.	.	PUNCT
cana-2684	198	1	transformative	transformative	ADJ
cana-2684	198	2	technologies	technology	NOUN
cana-2684	198	3	in	in	ADP
cana-2684	198	4	digital	digital	ADJ
cana-2684	198	5	agriculture	agriculture	NOUN
cana-2684	198	6	:	:	PUNCT
cana-2684	198	7	leveraging	leverage	VERB
cana-2684	198	8	internet	internet	NOUN
cana-2684	198	9	of	of	ADP
cana-2684	198	10	things	thing	NOUN
cana-2684	198	11	,	,	PUNCT
cana-2684	198	12	remote	remote	ADJ
cana-2684	198	13	sensing	sensing	NOUN
cana-2684	198	14	,	,	PUNCT
cana-2684	198	15	and	and	CCONJ
cana-2684	198	16	artificial	artificial	ADJ
cana-2684	198	17	intelligence	intelligence	NOUN
cana-2684	198	18	for	for	ADP
cana-2684	198	19	smart	smart	ADJ
cana-2684	198	20	crop	crop	NOUN
cana-2684	198	21	management	management	NOUN
cana-2684	198	22	.	.	PUNCT
cana-2684	199	1	journal	journal	PROPN
cana-2684	199	2	of	of	ADP
cana-2684	199	3	sensor	sensor	NOUN
cana-2684	199	4	and	and	CCONJ
cana-2684	199	5	actuator	actuator	NOUN
cana-2684	199	6	networks	network	NOUN
cana-2684	199	7	,	,	PUNCT
cana-2684	199	8	13(4	13(4	NUM
cana-2684	199	9	)	)	PUNCT
cana-2684	199	10	,	,	PUNCT
cana-2684	199	11	pp	pp	ADP
cana-2684	199	12	.	.	PUNCT
cana-2684	199	13	39	39	NUM
cana-2684	199	14	.	.	PUNCT
cana-2684	200	1	[	[	X
cana-2684	200	2	13	13	NUM
cana-2684	200	3	]	]	X
cana-2684	200	4	ganapathysubramanian	ganapathysubramanian	PROPN
cana-2684	200	5	,	,	PUNCT
cana-2684	200	6	b.	b.	PROPN
cana-2684	200	7	,	,	PUNCT
cana-2684	200	8	bell	bell	PROPN
cana-2684	200	9	,	,	PUNCT
cana-2684	200	10	j.m.p	j.m.p	PROPN
cana-2684	200	11	.	.	PROPN
cana-2684	200	12	,	,	PUNCT
cana-2684	200	13	kantor	kantor	PROPN
cana-2684	200	14	,	,	PUNCT
cana-2684	200	15	g.	g.	PROPN
cana-2684	200	16	,	,	PUNCT
cana-2684	200	17	merchant	merchant	NOUN
cana-2684	200	18	,	,	PUNCT
cana-2684	200	19	n.	n.	NOUN
cana-2684	200	20	,	,	PUNCT
cana-2684	200	21	sarkar	sarkar	PROPN
cana-2684	200	22	,	,	PUNCT
cana-2684	200	23	s.	s.	PROPN
cana-2684	200	24	,	,	PUNCT
cana-2684	200	25	schnable	schnable	ADJ
cana-2684	200	26	,	,	PUNCT
cana-2684	200	27	p.s	p.s	PROPN
cana-2684	200	28	.	.	PROPN
cana-2684	200	29	,	,	PUNCT
cana-2684	200	30	segovia	segovia	PROPN
cana-2684	200	31	,	,	PUNCT
cana-2684	200	32	m.	m.	NOUN
cana-2684	200	33	,	,	PUNCT
cana-2684	200	34	singh	singh	PROPN
cana-2684	200	35	,	,	PUNCT
cana-2684	200	36	a.	a.	NOUN
cana-2684	200	37	and	and	CCONJ
cana-2684	200	38	singh	singh	PROPN
cana-2684	200	39	,	,	PUNCT
cana-2684	200	40	a.k	a.k	PROPN
cana-2684	200	41	.	.	PROPN
cana-2684	200	42	,	,	PUNCT
cana-2684	200	43	2024	2024	NUM
cana-2684	200	44	.	.	PUNCT
cana-2684	201	1	aiira	aiira	PROPN
cana-2684	201	2	:	:	PUNCT
cana-2684	201	3	ai	ai	AUX
cana-2684	201	4	institute	institute	PROPN
cana-2684	201	5	for	for	ADP
cana-2684	201	6	resilient	resilient	ADJ
cana-2684	201	7	agriculture	agriculture	NOUN
cana-2684	201	8	.	.	PUNCT
cana-2684	202	1	ai	ai	PROPN
cana-2684	202	2	magazine	magazine	NOUN
cana-2684	202	3	,	,	PUNCT
cana-2684	202	4	45(1	45(1	NOUN
cana-2684	202	5	)	)	PUNCT
cana-2684	202	6	,	,	PUNCT
cana-2684	202	7	pp	pp	ADP
cana-2684	202	8	.	.	PUNCT
cana-2684	203	1	94	94	NUM
cana-2684	203	2	-	-	SYM
cana-2684	203	3	98	98	NUM
cana-2684	203	4	.	.	PUNCT
cana-2684	204	1	[	[	X
cana-2684	204	2	14	14	NUM
cana-2684	204	3	]	]	PUNCT
cana-2684	204	4	getahun	getahun	PROPN
cana-2684	204	5	,	,	PUNCT
cana-2684	204	6	s.	s.	PROPN
cana-2684	204	7	,	,	PUNCT
cana-2684	204	8	kefale	kefale	PROPN
cana-2684	204	9	,	,	PUNCT
cana-2684	204	10	h.	h.	PROPN
cana-2684	204	11	and	and	CCONJ
cana-2684	204	12	gelaye	gelaye	NOUN
cana-2684	204	13	,	,	PUNCT
cana-2684	204	14	y.	y.	NOUN
cana-2684	204	15	,	,	PUNCT
cana-2684	204	16	2024	2024	NUM
cana-2684	204	17	.	.	PUNCT
cana-2684	205	1	application	application	NOUN
cana-2684	205	2	of	of	ADP
cana-2684	205	3	precision	precision	NOUN
cana-2684	205	4	agriculture	agriculture	NOUN
cana-2684	205	5	technologies	technology	NOUN
cana-2684	205	6	for	for	ADP
cana-2684	205	7	sustainable	sustainable	ADJ
cana-2684	205	8	crop	crop	NOUN
cana-2684	205	9	production	production	NOUN
cana-2684	205	10	and	and	CCONJ
cana-2684	205	11	environmental	environmental	ADJ
cana-2684	205	12	sustainability	sustainability	NOUN
cana-2684	205	13	:	:	PUNCT
cana-2684	205	14	a	a	DET
cana-2684	205	15	systematic	systematic	ADJ
cana-2684	205	16	review	review	NOUN
cana-2684	205	17	.	.	PUNCT
cana-2684	206	1	the	the	DET
cana-2684	206	2	scientific	scientific	ADJ
cana-2684	206	3	world	world	NOUN
cana-2684	206	4	journal	journal	NOUN
cana-2684	206	5	,	,	PUNCT
cana-2684	206	6	2024	2024	NUM
cana-2684	206	7	.	.	PUNCT
cana-2684	207	1	[	[	X
cana-2684	207	2	15	15	NUM
cana-2684	207	3	]	]	X
cana-2684	207	4	gonzález	gonzález	PROPN
cana-2684	207	5	-	-	PUNCT
cana-2684	207	6	rodríguez	rodríguez	PROPN
cana-2684	207	7	,	,	PUNCT
cana-2684	207	8	v.	v.	PROPN
cana-2684	207	9	,e	,e	PROPN
cana-2684	207	10	.	.	PUNCT
cana-2684	207	11	,	,	PUNCT
cana-2684	207	12	izquierdo	izquierdo	PROPN
cana-2684	207	13	-	-	PUNCT
cana-2684	207	14	bueno	bueno	PROPN
cana-2684	207	15	,	,	PUNCT
cana-2684	207	16	i.	i.	PROPN
cana-2684	207	17	,	,	PUNCT
cana-2684	207	18	cantoral	cantoral	ADJ
cana-2684	207	19	,	,	PUNCT
cana-2684	207	20	j.m	j.m	PROPN
cana-2684	207	21	.	.	PROPN
cana-2684	207	22	,	,	PUNCT
cana-2684	207	23	carbú	carbú	VERB
cana-2684	207	24	,	,	PUNCT
cana-2684	207	25	m.	m.	NOUN
cana-2684	207	26	and	and	CCONJ
cana-2684	207	27	garrido	garrido	PROPN
cana-2684	207	28	,	,	PUNCT
cana-2684	207	29	c.	c.	PROPN
cana-2684	207	30	,	,	PUNCT
cana-2684	207	31	2024	2024	NUM
cana-2684	207	32	.	.	PUNCT
cana-2684	208	1	artificial	artificial	ADJ
cana-2684	208	2	intelligence	intelligence	NOUN
cana-2684	208	3	:	:	PUNCT
cana-2684	208	4	a	a	DET
cana-2684	208	5	promising	promising	ADJ
cana-2684	208	6	tool	tool	NOUN
cana-2684	208	7	for	for	ADP
cana-2684	208	8	application	application	NOUN
cana-2684	208	9	in	in	ADP
cana-2684	208	10	phytopathology	phytopathology	NOUN
cana-2684	208	11	.	.	PUNCT
cana-2684	209	1	horticulturae	horticulturae	PROPN
cana-2684	209	2	,	,	PUNCT
cana-2684	209	3	10(3	10(3	NUM
cana-2684	209	4	)	)	PUNCT
cana-2684	209	5	,	,	PUNCT
cana-2684	209	6	pp	pp	ADJ
cana-2684	209	7	.	.	PUNCT
cana-2684	209	8	197	197	NUM
cana-2684	209	9	.	.	PUNCT
cana-2684	210	1	[	[	X
cana-2684	210	2	16	16	NUM
cana-2684	210	3	]	]	X
cana-2684	210	4	jayaram	jayaram	PROPN
cana-2684	210	5	,	,	PUNCT
cana-2684	210	6	d.k	d.k	PROPN
cana-2684	210	7	.	.	PROPN
cana-2684	210	8	,	,	PUNCT
cana-2684	210	9	raja	raja	PROPN
cana-2684	210	10	,	,	PUNCT
cana-2684	210	11	v.	v.	PROPN
cana-2684	210	12	,	,	PUNCT
cana-2684	210	13	beena	beena	PROPN
cana-2684	210	14	,	,	PUNCT
cana-2684	210	15	s.a	s.a	PROPN
cana-2684	210	16	.	.	PROPN
cana-2684	210	17	and	and	CCONJ
cana-2684	210	18	al	al	PROPN
cana-2684	210	19	-	-	PUNCT
cana-2684	210	20	bonsrulah	bonsrulah	PROPN
cana-2684	210	21	,	,	PUNCT
cana-2684	210	22	h.	h.	PROPN
cana-2684	210	23	,	,	PUNCT
cana-2684	210	24	2024	2024	NUM
cana-2684	210	25	.	.	PUNCT
cana-2684	211	1	design	design	NOUN
cana-2684	211	2	,	,	PUNCT
cana-2684	211	3	multiperspective	multiperspective	ADJ
cana-2684	211	4	investigations	investigation	NOUN
cana-2684	211	5	,	,	PUNCT
cana-2684	211	6	and	and	CCONJ
cana-2684	211	7	performance	performance	NOUN
cana-2684	211	8	analysis	analysis	NOUN
cana-2684	211	9	of	of	ADP
cana-2684	211	10	multirotor	multirotor	PROPN
cana-2684	211	11	unmanned	unmanned	ADJ
cana-2684	211	12	aerial	aerial	ADJ
cana-2684	211	13	vehicle	vehicle	NOUN
cana-2684	211	14	for	for	ADP
cana-2684	211	15	precision	precision	NOUN
cana-2684	211	16	farming	farming	NOUN
cana-2684	211	17	.	.	PUNCT
cana-2684	212	1	international	international	ADJ
cana-2684	212	2	journal	journal	PROPN
cana-2684	212	3	of	of	ADP
cana-2684	212	4	aerospace	aerospace	PROPN
cana-2684	212	5	engineering	engineering	NOUN
cana-2684	212	6	,	,	PUNCT
cana-2684	212	7	2024	2024	NUM
cana-2684	212	8	.	.	PUNCT
cana-2684	213	1	[	[	X
cana-2684	213	2	17	17	NUM
cana-2684	213	3	]	]	X
cana-2684	213	4	karam	karam	PROPN
cana-2684	213	5	,	,	PUNCT
cana-2684	213	6	k.	k.	PROPN
cana-2684	213	7	,	,	PUNCT
cana-2684	213	8	mansour	mansour	PROPN
cana-2684	213	9	,	,	PUNCT
cana-2684	213	10	a.	a.	PROPN
cana-2684	213	11	,	,	PUNCT
cana-2684	213	12	khaldi	khaldi	PROPN
cana-2684	213	13	,	,	PUNCT
cana-2684	213	14	m.	m.	NOUN
cana-2684	213	15	,	,	PUNCT
cana-2684	213	16	clement	clement	PROPN
cana-2684	213	17	,	,	PUNCT
cana-2684	213	18	b.	b.	PROPN
cana-2684	213	19	and	and	CCONJ
cana-2684	213	20	ammad	ammad	NOUN
cana-2684	213	21	-	-	PUNCT
cana-2684	213	22	uddin	uddin	ADJ
cana-2684	213	23	,	,	PUNCT
cana-2684	213	24	m.	m.	NOUN
cana-2684	213	25	,	,	PUNCT
cana-2684	213	26	2024	2024	NUM
cana-2684	213	27	.	.	PUNCT
cana-2684	213	28	quadcopters	quadcopter	NOUN
cana-2684	213	29	in	in	ADP
cana-2684	213	30	smart	smart	ADJ
cana-2684	213	31	agriculture	agriculture	NOUN
cana-2684	213	32	:	:	PUNCT
cana-2684	213	33	applications	application	NOUN
cana-2684	213	34	and	and	CCONJ
cana-2684	213	35	modelling	modelling	NOUN
cana-2684	213	36	.	.	PUNCT
cana-2684	214	1	applied	apply	VERB
cana-2684	214	2	sciences	science	NOUN
cana-2684	214	3	,	,	PUNCT
cana-2684	214	4	14(19	14(19	NUM
cana-2684	214	5	)	)	PUNCT
cana-2684	214	6	,	,	PUNCT
cana-2684	214	7	pp	pp	ADP
cana-2684	214	8	.	.	PUNCT
cana-2684	215	1	9132	9132	NUM
cana-2684	215	2	.	.	PUNCT
cana-2684	216	1	[	[	X
cana-2684	216	2	18	18	NUM
cana-2684	216	3	]	]	PUNCT
cana-2684	216	4	katekar	katekar	NOUN
cana-2684	216	5	,	,	PUNCT
cana-2684	216	6	v.	v.	PROPN
cana-2684	216	7	and	and	CCONJ
cana-2684	216	8	cheruku	cheruku	PROPN
cana-2684	216	9	,	,	PUNCT
cana-2684	216	10	j.k	j.k	PROPN
cana-2684	216	11	.	.	PROPN
cana-2684	216	12	,	,	PUNCT
cana-2684	216	13	2022	2022	NUM
cana-2684	216	14	.	.	PUNCT
cana-2684	217	1	the	the	DET
cana-2684	217	2	application	application	NOUN
cana-2684	217	3	of	of	ADP
cana-2684	217	4	drone	drone	NOUN
cana-2684	217	5	technology	technology	NOUN
cana-2684	217	6	for	for	ADP
cana-2684	217	7	sustainable	sustainable	ADJ
cana-2684	217	8	agriculture	agriculture	NOUN
cana-2684	217	9	in	in	ADP
cana-2684	217	10	india	india	PROPN
cana-2684	217	11	.	.	PUNCT
cana-2684	218	1	current	current	ADJ
cana-2684	218	2	agriculture	agriculture	PROPN
cana-2684	218	3	research	research	NOUN
cana-2684	218	4	journal	journal	NOUN
cana-2684	218	5	,	,	PUNCT
cana-2684	218	6	10(3	10(3	NUM
cana-2684	218	7	)	)	PUNCT
cana-2684	218	8	,	,	PUNCT
cana-2684	218	9	.	.	PUNCT
cana-2684	219	1	[	[	X
cana-2684	219	2	19	19	NUM
cana-2684	219	3	]	]	X
cana-2684	219	4	kumar	kumar	PROPN
cana-2684	219	5	,	,	PUNCT
cana-2684	219	6	k.s	k.s	PROPN
cana-2684	219	7	.	.	PROPN
cana-2684	219	8	and	and	CCONJ
cana-2684	219	9	arulanandam	arulanandam	PROPN
cana-2684	219	10	,	,	PUNCT
cana-2684	219	11	k.	k.	PROPN
cana-2684	219	12	,	,	PUNCT
cana-2684	219	13	2024	2024	NUM
cana-2684	219	14	.	.	PUNCT
cana-2684	219	15	hybrid	hybrid	ADJ
cana-2684	219	16	machine	machine	NOUN
cana-2684	219	17	learning	learning	NOUN
cana-2684	219	18	based	base	VERB
cana-2684	219	19	crop	crop	NOUN
cana-2684	219	20	prediction	prediction	NOUN
cana-2684	219	21	model	model	NOUN
cana-2684	219	22	.	.	PUNCT
cana-2684	220	1	journal	journal	PROPN
cana-2684	220	2	of	of	ADP
cana-2684	220	3	electrical	electrical	ADJ
cana-2684	220	4	systems	system	NOUN
cana-2684	220	5	,	,	PUNCT
cana-2684	220	6	20(10	20(10	NUM
cana-2684	220	7	)	)	PUNCT
cana-2684	220	8	,	,	PUNCT
cana-2684	220	9	pp	pp	ADP
cana-2684	220	10	.	.	PUNCT
cana-2684	221	1	2059	2059	NUM
cana-2684	221	2	-	-	SYM
cana-2684	221	3	2073	2073	NUM
cana-2684	221	4	.	.	PUNCT
cana-2684	222	1	[	[	X
cana-2684	222	2	20	20	NUM
cana-2684	222	3	]	]	SYM
cana-2684	222	4	kumar	kumar	PROPN
cana-2684	222	5	,	,	PUNCT
cana-2684	222	6	s.p	s.p	PROPN
cana-2684	222	7	.	.	PROPN
cana-2684	222	8	and	and	CCONJ
cana-2684	222	9	rao	rao	PROPN
cana-2684	222	10	,	,	PUNCT
cana-2684	222	11	y.r	y.r	PROPN
cana-2684	222	12	.	.	PROPN
cana-2684	222	13	,	,	PUNCT
cana-2684	222	14	2024	2024	NUM
cana-2684	222	15	.	.	PUNCT
cana-2684	223	1	a	a	DET
cana-2684	223	2	survey	survey	NOUN
cana-2684	223	3	on	on	ADP
cana-2684	223	4	deep	deep	ADJ
cana-2684	223	5	learning	learning	NOUN
cana-2684	223	6	approaches	approach	NOUN
cana-2684	223	7	for	for	ADP
cana-2684	223	8	crop	crop	NOUN
cana-2684	223	9	disease	disease	NOUN
cana-2684	223	10	analysis	analysis	NOUN
cana-2684	223	11	in	in	ADP
cana-2684	223	12	precision	precision	NOUN
cana-2684	223	13	agriculture	agriculture	NOUN
cana-2684	223	14	.	.	PUNCT
cana-2684	224	1	turkish	turkish	ADJ
cana-2684	224	2	journal	journal	NOUN
cana-2684	224	3	of	of	ADP
cana-2684	224	4	computer	computer	NOUN
cana-2684	224	5	and	and	CCONJ
cana-2684	224	6	mathematics	mathematic	NOUN
cana-2684	224	7	education	education	NOUN
cana-2684	224	8	,	,	PUNCT
cana-2684	224	9	15(1	15(1	NUM
cana-2684	224	10	)	)	PUNCT
cana-2684	224	11	,	,	PUNCT
cana-2684	224	12	pp	pp	ADP
cana-2684	224	13	.	.	PUNCT
cana-2684	225	1	242	242	NUM
cana-2684	225	2	-	-	SYM
cana-2684	225	3	253	253	NUM
cana-2684	225	4	.	.	PUNCT
cana-2684	226	1	[	[	X
cana-2684	226	2	21	21	NUM
cana-2684	226	3	]	]	X
cana-2684	226	4	lee	lee	PROPN
cana-2684	226	5	,	,	PUNCT
cana-2684	226	6	h.	h.	PROPN
cana-2684	226	7	,	,	PUNCT
cana-2684	226	8	2024	2024	NUM
cana-2684	226	9	.	.	PUNCT
cana-2684	227	1	the	the	DET
cana-2684	227	2	application	application	NOUN
cana-2684	227	3	of	of	ADP
cana-2684	227	4	artificial	artificial	ADJ
cana-2684	227	5	intelligence	intelligence	NOUN
cana-2684	227	6	(	(	PUNCT
cana-2684	227	7	ai	ai	NOUN
cana-2684	227	8	)	)	PUNCT
cana-2684	227	9	and	and	CCONJ
cana-2684	227	10	internet	internet	NOUN
cana-2684	227	11	of	of	ADP
cana-2684	227	12	things	thing	NOUN
cana-2684	227	13	(	(	PUNCT
cana-2684	227	14	iot	iot	NOUN
cana-2684	227	15	)	)	PUNCT
cana-2684	227	16	middleware	middleware	NOUN
cana-2684	227	17	in	in	ADP
cana-2684	227	18	agriculture	agriculture	NOUN
cana-2684	227	19	.	.	PUNCT
cana-2684	228	1	journal	journal	PROPN
cana-2684	228	2	of	of	ADP
cana-2684	228	3	electrical	electrical	ADJ
cana-2684	228	4	systems	system	NOUN
cana-2684	228	5	,	,	PUNCT
cana-2684	228	6	20(4	20(4	NOUN
cana-2684	228	7	)	)	PUNCT
cana-2684	228	8	,	,	PUNCT
cana-2684	228	9	pp	pp	PROPN
cana-2684	228	10	.	.	PUNCT
cana-2684	229	1	125	125	NUM
cana-2684	229	2	-	-	SYM
cana-2684	229	3	131	131	NUM
cana-2684	229	4	.	.	PUNCT
cana-2684	230	1	[	[	X
cana-2684	230	2	22	22	NUM
cana-2684	230	3	]	]	SYM
cana-2684	230	4	li	li	PROPN
cana-2684	230	5	,	,	PUNCT
cana-2684	230	6	m.	m.	NOUN
cana-2684	230	7	,	,	PUNCT
cana-2684	230	8	shamshiri	shamshiri	NOUN
cana-2684	230	9	,	,	PUNCT
cana-2684	230	10	r.r	r.r	PROPN
cana-2684	230	11	.	.	PROPN
cana-2684	230	12	,	,	PUNCT
cana-2684	230	13	weltzien	weltzien	PROPN
cana-2684	230	14	,	,	PUNCT
cana-2684	230	15	c.	c.	PROPN
cana-2684	230	16	and	and	CCONJ
cana-2684	230	17	schirrmann	schirrmann	PROPN
cana-2684	230	18	,	,	PUNCT
cana-2684	230	19	m.	m.	NOUN
cana-2684	230	20	,	,	PUNCT
cana-2684	230	21	2022	2022	NUM
cana-2684	230	22	.	.	PUNCT
cana-2684	231	1	crop	crop	NOUN
cana-2684	231	2	monitoring	monitoring	NOUN
cana-2684	231	3	using	use	VERB
cana-2684	231	4	sentinel-2	sentinel-2	NUM
cana-2684	231	5	and	and	CCONJ
cana-2684	231	6	uav	uav	PROPN
cana-2684	231	7	multispectral	multispectral	ADJ
cana-2684	231	8	imagery	imagery	NOUN
cana-2684	231	9	:	:	PUNCT
cana-2684	231	10	a	a	DET
cana-2684	231	11	comparison	comparison	NOUN
cana-2684	231	12	case	case	NOUN
cana-2684	231	13	study	study	NOUN
cana-2684	231	14	in	in	ADP
cana-2684	231	15	northeastern	northeastern	PROPN
cana-2684	231	16	germany	germany	PROPN
cana-2684	231	17	.	.	PUNCT
cana-2684	232	1	remote	remote	ADJ
cana-2684	232	2	sensing	sensing	NOUN
cana-2684	232	3	,	,	PUNCT
cana-2684	232	4	14(17	14(17	NUM
cana-2684	232	5	)	)	PUNCT
cana-2684	232	6	,	,	PUNCT
cana-2684	232	7	pp	pp	ADJ
cana-2684	232	8	.	.	PUNCT
cana-2684	232	9	4426	4426	NUM
cana-2684	232	10	.	.	PUNCT
cana-2684	233	1	[	[	X
cana-2684	233	2	23	23	NUM
cana-2684	233	3	]	]	X
cana-2684	233	4	logeshwaran	logeshwaran	NOUN
cana-2684	233	5	,	,	PUNCT
cana-2684	233	6	j.	j.	PROPN
cana-2684	233	7	,	,	PUNCT
cana-2684	233	8	srivastava	srivastava	PROPN
cana-2684	233	9	,	,	PUNCT
cana-2684	233	10	d.	d.	PROPN
cana-2684	233	11	,	,	PUNCT
cana-2684	233	12	kumar	kumar	PROPN
cana-2684	233	13	,	,	PUNCT
cana-2684	233	14	k.s	k.s	PROPN
cana-2684	233	15	.	.	PROPN
cana-2684	233	16	,	,	PUNCT
cana-2684	233	17	rex	rex	PROPN
cana-2684	233	18	,	,	PUNCT
cana-2684	233	19	m.j	m.j	PROPN
cana-2684	233	20	.	.	PROPN
cana-2684	233	21	,	,	PUNCT
cana-2684	233	22	al	al	PROPN
cana-2684	233	23	-	-	PUNCT
cana-2684	233	24	rasheed	rasheed	NOUN
cana-2684	233	25	,	,	PUNCT
cana-2684	233	26	a.	a.	NOUN
cana-2684	233	27	,	,	PUNCT
cana-2684	233	28	getahun	getahun	PROPN
cana-2684	233	29	,	,	PUNCT
cana-2684	233	30	m.	m.	NOUN
cana-2684	233	31	and	and	CCONJ
cana-2684	233	32	ben	ben	PROPN
cana-2684	233	33	,	,	PUNCT
cana-2684	233	34	o.s	o.s	PROPN
cana-2684	233	35	.	.	PROPN
cana-2684	233	36	,	,	PUNCT
cana-2684	233	37	2024	2024	NUM
cana-2684	233	38	.	.	PUNCT
cana-2684	234	1	improving	improve	VERB
cana-2684	234	2	crop	crop	NOUN
cana-2684	234	3	production	production	NOUN
cana-2684	234	4	using	use	VERB
cana-2684	234	5	an	an	DET
cana-2684	234	6	agro	agro	ADJ
cana-2684	234	7	-	-	PUNCT
cana-2684	234	8	deep	deep	ADJ
cana-2684	234	9	learning	learning	NOUN
cana-2684	234	10	framework	framework	NOUN
cana-2684	234	11	in	in	ADP
cana-2684	234	12	precision	precision	NOUN
cana-2684	234	13	agriculture	agriculture	NOUN
cana-2684	234	14	.	.	PUNCT
cana-2684	235	1	bmc	bmc	ADJ
cana-2684	235	2	bioinformatics	bioinformatics	PROPN
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cana-2684	235	4	25	25	NUM
cana-2684	235	5	,	,	PUNCT
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cana-2684	235	7	.	.	PUNCT
cana-2684	236	1	1	1	NUM
cana-2684	236	2	-	-	SYM
cana-2684	236	3	40	40	NUM
cana-2684	236	4	.	.	PUNCT
cana-2684	237	1	[	[	X
cana-2684	237	2	24	24	NUM
cana-2684	237	3	]	]	PUNCT
cana-2684	237	4	maraveas	maraveas	PROPN
cana-2684	237	5	,	,	PUNCT
cana-2684	237	6	c.	c.	PROPN
cana-2684	237	7	,	,	PUNCT
cana-2684	237	8	2024	2024	NUM
cana-2684	237	9	.	.	PUNCT
cana-2684	238	1	image	image	NOUN
cana-2684	238	2	analysis	analysis	NOUN
cana-2684	238	3	artificial	artificial	ADJ
cana-2684	238	4	intelligence	intelligence	NOUN
cana-2684	238	5	technologies	technology	NOUN
cana-2684	238	6	for	for	ADP
cana-2684	238	7	plant	plant	NOUN
cana-2684	238	8	phenotyping	phenotype	VERB
cana-2684	238	9	:	:	PUNCT
cana-2684	238	10	current	current	ADJ
cana-2684	238	11	state	state	NOUN
cana-2684	238	12	of	of	ADP
cana-2684	238	13	the	the	DET
cana-2684	238	14	art	art	NOUN
cana-2684	238	15	.	.	PUNCT
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cana-2684	239	2	,	,	PUNCT
cana-2684	239	3	6(3	6(3	NUM
cana-2684	239	4	)	)	PUNCT
cana-2684	239	5	,	,	PUNCT
cana-2684	239	6	pp	pp	ADJ
cana-2684	239	7	.	.	PUNCT
cana-2684	239	8	3375	3375	NUM
cana-2684	239	9	.	.	PUNCT
cana-2684	240	1	[	[	X
cana-2684	240	2	25	25	NUM
cana-2684	240	3	]	]	X
cana-2684	240	4	md	md	PROPN
cana-2684	240	5	shaha	shaha	PROPN
cana-2684	240	6	,	,	PUNCT
cana-2684	240	7	n.k	n.k	PROPN
cana-2684	240	8	.	.	PROPN
cana-2684	240	9	,	,	PUNCT
cana-2684	240	10	md	md	PROPN
cana-2684	240	11	,	,	PUNCT
cana-2684	240	12	n.r	n.r	PROPN
cana-2684	240	13	.	.	PROPN
cana-2684	240	14	,	,	PUNCT
cana-2684	240	15	chowdhury	chowdhury	PROPN
cana-2684	240	16	,	,	PUNCT
cana-2684	240	17	m.	m.	NOUN
cana-2684	240	18	,	,	PUNCT
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cana-2684	240	21	m.	m.	NOUN
cana-2684	240	22	,	,	PUNCT
cana-2684	240	23	<	<	X
cana-2684	240	24	surname	surname	NOUN
cana-2684	240	25	>	>	X
cana-2684	240	26	samsuzzaman</surname	samsuzzaman</surname	PROPN
cana-2684	240	27	>	>	X
cana-2684	240	28	,	,	PUNCT
cana-2684	240	29	ali	ali	PROPN
cana-2684	240	30	,	,	PUNCT
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cana-2684	240	40	-	-	PUNCT
cana-2684	240	41	ok	ok	PROPN
cana-2684	240	42	,	,	PUNCT
cana-2684	240	43	c.	c.	NOUN
cana-2684	240	44	,	,	PUNCT
cana-2684	240	45	2023	2023	NUM
cana-2684	240	46	.	.	PUNCT
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cana-2684	241	2	trends	trend	NOUN
cana-2684	241	3	and	and	CCONJ
cana-2684	241	4	engineering	engineering	NOUN
cana-2684	241	5	issues	issue	NOUN
cana-2684	241	6	on	on	ADP
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cana-2684	241	8	farms	farm	NOUN
cana-2684	241	9	:	:	PUNCT
cana-2684	241	10	a	a	DET
cana-2684	241	11	review	review	NOUN
cana-2684	241	12	.	.	PUNCT
cana-2684	242	1	horticulturae	horticulturae	PROPN
cana-2684	242	2	,	,	PUNCT
cana-2684	242	3	9(11	9(11	NUM
cana-2684	242	4	)	)	PUNCT
cana-2684	242	5	,	,	PUNCT
cana-2684	242	6	pp	pp	ADP
cana-2684	242	7	.	.	PUNCT
cana-2684	242	8	1229	1229	NUM
cana-2684	242	9	.	.	PUNCT
cana-2684	243	1	[	[	X
cana-2684	243	2	26	26	NUM
cana-2684	243	3	]	]	X
cana-2684	243	4	mushtaq	mushtaq	PROPN
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cana-2684	243	11	muhu	muhu	PROPN
cana-2684	243	12	-	-	PUNCT
cana-2684	243	13	din	din	NOUN
cana-2684	243	14	ahmed	ahmed	PROPN
cana-2684	243	15	and	and	CCONJ
cana-2684	243	16	zeng	zeng	PROPN
cana-2684	243	17	,	,	PUNCT
cana-2684	243	18	y.	y.	PROPN
cana-2684	243	19	,	,	PUNCT
cana-2684	243	20	2024	2024	NUM
cana-2684	243	21	.	.	PUNCT
cana-2684	243	22	applications	application	NOUN
cana-2684	243	23	of	of	ADP
cana-2684	243	24	artificial	artificial	ADJ
cana-2684	243	25	intelligence	intelligence	NOUN
cana-2684	243	26	in	in	ADP
cana-2684	243	27	wheat	wheat	NOUN
cana-2684	243	28	breeding	breed	VERB
cana-2684	243	29	for	for	ADP
cana-2684	243	30	sustainable	sustainable	ADJ
cana-2684	243	31	food	food	NOUN
cana-2684	243	32	security	security	NOUN
cana-2684	243	33	.	.	PUNCT
cana-2684	244	1	sustainability	sustainability	NOUN
cana-2684	244	2	,	,	PUNCT
cana-2684	244	3	16(13	16(13	NUM
cana-2684	244	4	)	)	PUNCT
cana-2684	244	5	,	,	PUNCT
cana-2684	244	6	pp	pp	ADP
cana-2684	244	7	.	.	PUNCT
cana-2684	245	1	5688	5688	NUM
cana-2684	245	2	.	.	PUNCT
cana-2684	246	1	[	[	X
cana-2684	246	2	27	27	NUM
cana-2684	246	3	]	]	PUNCT
cana-2684	246	4	navarro	navarro	PROPN
cana-2684	246	5	,	,	PUNCT
cana-2684	246	6	e.	e.	PROPN
cana-2684	246	7	,	,	PUNCT
cana-2684	246	8	costa	costa	PROPN
cana-2684	246	9	,	,	PUNCT
cana-2684	246	10	n.	n.	PROPN
cana-2684	246	11	and	and	CCONJ
cana-2684	246	12	pereira	pereira	PROPN
cana-2684	246	13	,	,	PUNCT
cana-2684	246	14	a.	a.	PROPN
cana-2684	246	15	,	,	PUNCT
cana-2684	246	16	2020	2020	NUM
cana-2684	246	17	.	.	PUNCT
cana-2684	247	1	a	a	DET
cana-2684	247	2	systematic	systematic	ADJ
cana-2684	247	3	review	review	NOUN
cana-2684	247	4	of	of	ADP
cana-2684	247	5	iot	iot	ADJ
cana-2684	247	6	solutions	solution	NOUN
cana-2684	247	7	for	for	ADP
cana-2684	247	8	smart	smart	ADJ
cana-2684	247	9	farming	farming	NOUN
cana-2684	247	10	.	.	PUNCT
cana-2684	248	1	sensors	sensor	NOUN
cana-2684	248	2	,	,	PUNCT
cana-2684	248	3	20(15	20(15	NUM
cana-2684	248	4	)	)	PUNCT
cana-2684	248	5	,	,	PUNCT
cana-2684	248	6	pp	pp	ADJ
cana-2684	248	7	.	.	PUNCT
cana-2684	248	8	4231	4231	NUM
cana-2684	248	9	.	.	PUNCT
cana-2684	249	1	[	[	X
cana-2684	249	2	28	28	NUM
cana-2684	249	3	]	]	SYM
cana-2684	249	4	obeidat	obeidat	NOUN
cana-2684	249	5	,	,	PUNCT
cana-2684	249	6	m.a	m.a	PROPN
cana-2684	249	7	.	.	PROPN
cana-2684	249	8	,	,	PUNCT
cana-2684	249	9	abdallah	abdallah	PROPN
cana-2684	249	10	,	,	PUNCT
cana-2684	249	11	j.	j.	PROPN
cana-2684	249	12	,	,	PUNCT
cana-2684	249	13	hamadneh	hamadneh	PROPN
cana-2684	249	14	,	,	PUNCT
cana-2684	249	15	t.	t.	PROPN
cana-2684	249	16	,	,	PUNCT
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cana-2684	249	18	,	,	PUNCT
cana-2684	249	19	h.	h.	PROPN
cana-2684	249	20	and	and	CCONJ
cana-2684	249	21	mansour	mansour	PROPN
cana-2684	249	22	,	,	PUNCT
cana-2684	249	23	a.m.	a.m.	ADV
cana-2684	249	24	,	,	PUNCT
cana-2684	249	25	2024	2024	NUM
cana-2684	249	26	.	.	PUNCT
cana-2684	250	1	enhancing	enhance	VERB
cana-2684	250	2	agricultural	agricultural	ADJ
cana-2684	250	3	operations	operation	NOUN
cana-2684	250	4	through	through	ADP
cana-2684	250	5	ai	ai	ADJ
cana-2684	250	6	-	-	PUNCT
cana-2684	250	7	driven	drive	VERB
cana-2684	250	8	agent	agent	NOUN
cana-2684	250	9	communication	communication	NOUN
cana-2684	250	10	in	in	ADP
cana-2684	250	11	smart	smart	ADJ
cana-2684	250	12	farming	farming	NOUN
cana-2684	250	13	systems	system	NOUN
cana-2684	250	14	.	.	PUNCT
cana-2684	251	1	ingenierie	ingenierie	VERB
cana-2684	251	2	des	des	PROPN
cana-2684	251	3	systemes	systemes	PROPN
cana-2684	251	4	d'information	d'information	PROPN
cana-2684	251	5	,	,	PUNCT
cana-2684	251	6	29(3	29(3	NUM
cana-2684	251	7	)	)	PUNCT
cana-2684	251	8	,	,	PUNCT
cana-2684	251	9	pp	pp	ADP
cana-2684	251	10	.	.	PUNCT
cana-2684	252	1	917	917	NUM
cana-2684	252	2	-	-	SYM
cana-2684	252	3	928	928	NUM
cana-2684	252	4	.	.	PUNCT
cana-2684	253	1	[	[	X
cana-2684	253	2	29	29	NUM
cana-2684	253	3	]	]	X
cana-2684	253	4	omia	omia	PROPN
cana-2684	253	5	,	,	PUNCT
cana-2684	253	6	e.	e.	PROPN
cana-2684	253	7	,	,	PUNCT
cana-2684	253	8	bae	bae	PROPN
cana-2684	253	9	,	,	PUNCT
cana-2684	253	10	h.	h.	PROPN
cana-2684	253	11	,	,	PUNCT
cana-2684	253	12	park	park	PROPN
cana-2684	253	13	,	,	PUNCT
cana-2684	253	14	e.	e.	PROPN
cana-2684	253	15	,	,	PUNCT
cana-2684	253	16	moon	moon	PROPN
cana-2684	253	17	,	,	PUNCT
cana-2684	253	18	s.k	s.k	PROPN
cana-2684	253	19	.	.	PROPN
cana-2684	253	20	,	,	PUNCT
cana-2684	253	21	baek	baek	PROPN
cana-2684	253	22	,	,	PUNCT
cana-2684	253	23	i.	i.	NOUN
cana-2684	253	24	,	,	PUNCT
cana-2684	253	25	kabenge	kabenge	NOUN
cana-2684	253	26	,	,	PUNCT
cana-2684	253	27	i.	i.	NOUN
cana-2684	253	28	and	and	CCONJ
cana-2684	253	29	byoung	byoung	PROPN
cana-2684	253	30	-	-	PUNCT
cana-2684	253	31	kwan	kwan	PROPN
cana-2684	253	32	,	,	PUNCT
cana-2684	253	33	c.	c.	PROPN
cana-2684	253	34	,	,	PUNCT
cana-2684	253	35	2023	2023	NUM
cana-2684	253	36	.	.	PUNCT
cana-2684	254	1	remote	remote	ADJ
cana-2684	254	2	sensing	sensing	NOUN
cana-2684	254	3	in	in	ADP
cana-2684	254	4	field	field	NOUN
cana-2684	254	5	crop	crop	NOUN
cana-2684	254	6	monitoring	monitoring	NOUN
cana-2684	254	7	:	:	PUNCT
cana-2684	254	8	a	a	DET
cana-2684	254	9	comprehensive	comprehensive	ADJ
cana-2684	254	10	review	review	NOUN
cana-2684	254	11	of	of	ADP
cana-2684	254	12	sensor	sensor	NOUN
cana-2684	254	13	systems	system	NOUN
cana-2684	254	14	,	,	PUNCT
cana-2684	254	15	data	datum	NOUN
cana-2684	254	16	analyses	analysis	NOUN
cana-2684	254	17	and	and	CCONJ
cana-2684	254	18	recent	recent	ADJ
cana-2684	254	19	advances	advance	NOUN
cana-2684	254	20	.	.	PUNCT
cana-2684	255	1	remote	remote	ADJ
cana-2684	255	2	sensing	sensing	NOUN
cana-2684	255	3	,	,	PUNCT
cana-2684	255	4	15(2	15(2	NUM
cana-2684	255	5	)	)	PUNCT
cana-2684	255	6	,	,	PUNCT
cana-2684	255	7	pp	pp	ADJ
cana-2684	255	8	.	.	PUNCT
cana-2684	256	1	354	354	NUM
cana-2684	256	2	.	.	PUNCT
cana-2684	257	1	[	[	X
cana-2684	257	2	30	30	NUM
cana-2684	257	3	]	]	PUNCT
cana-2684	257	4	patokar	patokar	NOUN
cana-2684	257	5	,	,	PUNCT
cana-2684	257	6	a.m.	a.m.	NOUN
cana-2684	257	7	and	and	CCONJ
cana-2684	257	8	gohokar	gohokar	NOUN
cana-2684	257	9	,	,	PUNCT
cana-2684	257	10	v.v	v.v	PROPN
cana-2684	257	11	.	.	PROPN
cana-2684	257	12	,	,	PUNCT
cana-2684	257	13	2024	2024	NUM
cana-2684	257	14	.	.	PUNCT
cana-2684	258	1	design	design	NOUN
cana-2684	258	2	and	and	CCONJ
cana-2684	258	3	development	development	NOUN
cana-2684	258	4	of	of	ADP
cana-2684	258	5	an	an	DET
cana-2684	258	6	intuitive	intuitive	ADJ
cana-2684	258	7	android	android	NOUN
cana-2684	258	8	application	application	NOUN
cana-2684	258	9	for	for	ADP
cana-2684	258	10	smart	smart	ADJ
cana-2684	258	11	farming	farming	NOUN
cana-2684	258	12	.	.	PUNCT
cana-2684	259	1	current	current	ADJ
cana-2684	259	2	agriculture	agriculture	PROPN
cana-2684	259	3	research	research	NOUN
cana-2684	259	4	journal	journal	NOUN
cana-2684	259	5	,	,	PUNCT
cana-2684	259	6	12(1	12(1	NUM
cana-2684	259	7	)	)	PUNCT
cana-2684	259	8	,	,	PUNCT
cana-2684	259	9	.	.	PUNCT