id	sid	tid	token	lemma	pos
cana-5263	1	1	communications	communication	NOUN
cana-5263	1	2	on	on	ADP
cana-5263	1	3	applied	apply	VERB
cana-5263	1	4	nonlinear	nonlinear	ADJ
cana-5263	1	5	analysis	analysis	NOUN
cana-5263	1	6	issn	issn	NOUN
cana-5263	1	7	:	:	PUNCT
cana-5263	1	8	1074	1074	NUM
cana-5263	1	9	-	-	PUNCT
cana-5263	1	10	133x	133x	NUM
cana-5263	1	11	vol	vol	VERB
cana-5263	1	12	32	32	NUM
cana-5263	1	13	no	no	NOUN
cana-5263	1	14	.	.	PUNCT
cana-5263	2	1	10s	10	NOUN
cana-5263	2	2	(	(	PUNCT
cana-5263	2	3	2025	2025	NUM
cana-5263	2	4	)	)	PUNCT
cana-5263	2	5	1604	1604	NUM
cana-5263	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	2	7	deep	deep	ADJ
cana-5263	2	8	learning	learning	NOUN
cana-5263	2	9	-	-	PUNCT
cana-5263	2	10	based	base	VERB
cana-5263	2	11	crop	crop	NOUN
cana-5263	2	12	disease	disease	NOUN
cana-5263	2	13	detection	detection	NOUN
cana-5263	2	14	using	use	VERB
cana-5263	2	15	iot	iot	NOUN
cana-5263	2	16	and	and	CCONJ
cana-5263	2	17	image	image	NOUN
cana-5263	2	18	processing	processing	NOUN
cana-5263	2	19	1	1	NUM
cana-5263	2	20	mr	mr	PROPN
cana-5263	2	21	.	.	PROPN
cana-5263	2	22	khilendra	khilendra	PROPN
cana-5263	2	23	tumareki	tumareki	PROPN
cana-5263	2	24	,	,	PUNCT
cana-5263	2	25	2prof(dr	2prof(dr	NUM
cana-5263	2	26	)	)	PUNCT
cana-5263	2	27	asha	asha	PROPN
cana-5263	2	28	ambhaikar	ambhaikar	PROPN
cana-5263	2	29	,	,	PUNCT
cana-5263	2	30	3mr	3mr	NOUN
cana-5263	2	31	.	.	PUNCT
cana-5263	3	1	suraj	suraj	PROPN
cana-5263	3	2	kumar	kumar	PROPN
cana-5263	3	3	sahu	sahu	PROPN
cana-5263	3	4	1	1	PROPN
cana-5263	3	5	m.tech	m.tech	NOUN
cana-5263	3	6	.	.	PUNCT
cana-5263	4	1	scholar	scholar	NOUN
cana-5263	4	2	,	,	PUNCT
cana-5263	4	3	2director	2director	NUM
cana-5263	4	4	,	,	PUNCT
cana-5263	4	5	3associate	3associate	NUM
cana-5263	4	6	professor	professor	NOUN
cana-5263	4	7	2	2	NUM
cana-5263	4	8	,	,	PUNCT
cana-5263	4	9	3	3	NUM
cana-5263	4	10	department	department	NOUN
cana-5263	4	11	of	of	ADP
cana-5263	4	12	computer	computer	NOUN
cana-5263	4	13	science	science	PROPN
cana-5263	4	14	&	&	CCONJ
cana-5263	4	15	engineering	engineering	PROPN
cana-5263	4	16	1	1	NUM
cana-5263	4	17	,	,	PUNCT
cana-5263	4	18	2,3	2,3	NUM
cana-5263	4	19	mats	mat	VERB
cana-5263	4	20	school	school	NOUN
cana-5263	4	21	of	of	ADP
cana-5263	4	22	engineering	engineering	NOUN
cana-5263	4	23	&	&	CCONJ
cana-5263	4	24	it	it	PRON
cana-5263	4	25	,	,	PUNCT
cana-5263	4	26	mats	mat	VERB
cana-5263	4	27	university	university	PROPN
cana-5263	4	28	aarang	aarang	PROPN
cana-5263	4	29	,	,	PUNCT
cana-5263	4	30	1	1	NUM
cana-5263	4	31	khilendratumareki@gmail.com	khilendratumareki@gmail.com	NOUN
cana-5263	4	32	,	,	PUNCT
cana-5263	4	33	2drasha@matsuniversity.ac.in	2drasha@matsuniversity.ac.in	NUM
cana-5263	4	34	,	,	PUNCT
cana-5263	4	35	3sahu79487@gmail.com	3sahu79487@gmail.com	NUM
cana-5263	4	36	article	article	NOUN
cana-5263	4	37	history	history	NOUN
cana-5263	4	38	:	:	PUNCT
cana-5263	4	39	received	receive	VERB
cana-5263	4	40	:	:	PUNCT
cana-5263	4	41	12	12	NUM
cana-5263	4	42	-	-	SYM
cana-5263	4	43	01	01	NUM
cana-5263	4	44	-	-	PUNCT
cana-5263	4	45	2025	2025	NUM
cana-5263	4	46	revised	revise	VERB
cana-5263	4	47	:	:	PUNCT
cana-5263	4	48	15	15	NUM
cana-5263	4	49	-	-	NUM
cana-5263	4	50	02	02	NUM
cana-5263	4	51	-	-	PUNCT
cana-5263	4	52	2025	2025	NUM
cana-5263	4	53	accepted	accept	VERB
cana-5263	4	54	:	:	PUNCT
cana-5263	4	55	01	01	NUM
cana-5263	4	56	-	-	SYM
cana-5263	4	57	03	03	NUM
cana-5263	4	58	-	-	PUNCT
cana-5263	4	59	2025	2025	NUM
cana-5263	4	60	abstract	abstract	NOUN
cana-5263	4	61	:	:	PUNCT
cana-5263	4	62	crop	crop	NOUN
cana-5263	4	63	diseases	disease	NOUN
cana-5263	4	64	pose	pose	VERB
cana-5263	4	65	a	a	DET
cana-5263	4	66	significant	significant	ADJ
cana-5263	4	67	threat	threat	NOUN
cana-5263	4	68	to	to	ADP
cana-5263	4	69	global	global	ADJ
cana-5263	4	70	agricultural	agricultural	ADJ
cana-5263	4	71	productivity	productivity	NOUN
cana-5263	4	72	,	,	PUNCT
cana-5263	4	73	with	with	ADP
cana-5263	4	74	the	the	DET
cana-5263	4	75	potential	potential	NOUN
cana-5263	4	76	to	to	PART
cana-5263	4	77	cause	cause	VERB
cana-5263	4	78	severe	severe	ADJ
cana-5263	4	79	economic	economic	ADJ
cana-5263	4	80	losses	loss	NOUN
cana-5263	4	81	,	,	PUNCT
cana-5263	4	82	food	food	NOUN
cana-5263	4	83	shortages	shortage	NOUN
cana-5263	4	84	,	,	PUNCT
cana-5263	4	85	and	and	CCONJ
cana-5263	4	86	a	a	DET
cana-5263	4	87	negative	negative	ADJ
cana-5263	4	88	environmental	environmental	ADJ
cana-5263	4	89	impact	impact	NOUN
cana-5263	4	90	.	.	PUNCT
cana-5263	5	1	in	in	ADP
cana-5263	5	2	traditional	traditional	ADJ
cana-5263	5	3	agriculture	agriculture	NOUN
cana-5263	5	4	,	,	PUNCT
cana-5263	5	5	the	the	DET
cana-5263	5	6	early	early	ADJ
cana-5263	5	7	detection	detection	NOUN
cana-5263	5	8	and	and	CCONJ
cana-5263	5	9	timely	timely	ADJ
cana-5263	5	10	management	management	NOUN
cana-5263	5	11	of	of	ADP
cana-5263	5	12	plant	plant	NOUN
cana-5263	5	13	diseases	disease	NOUN
cana-5263	5	14	have	have	AUX
cana-5263	5	15	been	be	AUX
cana-5263	5	16	challenging	challenge	VERB
cana-5263	5	17	tasks	task	NOUN
cana-5263	5	18	,	,	PUNCT
cana-5263	5	19	often	often	ADV
cana-5263	5	20	relying	rely	VERB
cana-5263	5	21	on	on	ADP
cana-5263	5	22	manual	manual	ADJ
cana-5263	5	23	inspection	inspection	NOUN
cana-5263	5	24	,	,	PUNCT
cana-5263	5	25	expert	expert	NOUN
cana-5263	5	26	knowledge	knowledge	NOUN
cana-5263	5	27	,	,	PUNCT
cana-5263	5	28	and	and	CCONJ
cana-5263	5	29	reactive	reactive	ADJ
cana-5263	5	30	measures	measure	NOUN
cana-5263	5	31	.	.	PUNCT
cana-5263	6	1	however	however	ADV
cana-5263	6	2	,	,	PUNCT
cana-5263	6	3	as	as	SCONJ
cana-5263	6	4	agriculture	agriculture	NOUN
cana-5263	6	5	becomes	become	VERB
cana-5263	6	6	more	more	ADV
cana-5263	6	7	reliant	reliant	ADJ
cana-5263	6	8	on	on	ADP
cana-5263	6	9	technology	technology	NOUN
cana-5263	6	10	,	,	PUNCT
cana-5263	6	11	innovative	innovative	ADJ
cana-5263	6	12	solutions	solution	NOUN
cana-5263	6	13	have	have	AUX
cana-5263	6	14	emerged	emerge	VERB
cana-5263	6	15	to	to	PART
cana-5263	6	16	address	address	VERB
cana-5263	6	17	these	these	DET
cana-5263	6	18	issues	issue	NOUN
cana-5263	6	19	,	,	PUNCT
cana-5263	6	20	offering	offer	VERB
cana-5263	6	21	more	more	ADV
cana-5263	6	22	efficient	efficient	ADJ
cana-5263	6	23	,	,	PUNCT
cana-5263	6	24	automated	automate	VERB
cana-5263	6	25	,	,	PUNCT
cana-5263	6	26	and	and	CCONJ
cana-5263	6	27	accurate	accurate	ADJ
cana-5263	6	28	methods	method	NOUN
cana-5263	6	29	for	for	ADP
cana-5263	6	30	disease	disease	NOUN
cana-5263	6	31	detection	detection	NOUN
cana-5263	6	32	and	and	CCONJ
cana-5263	6	33	management	management	NOUN
cana-5263	6	34	.	.	PUNCT
cana-5263	7	1	keywords	keyword	NOUN
cana-5263	7	2	:	:	PUNCT
cana-5263	7	3	agricultural	agricultural	ADJ
cana-5263	7	4	,	,	PUNCT
cana-5263	7	5	environmental	environmental	ADJ
cana-5263	7	6	,	,	PUNCT
cana-5263	7	7	automated	automate	VERB
cana-5263	7	8	,	,	PUNCT
cana-5263	7	9	productivity	productivity	NOUN
cana-5263	7	10	.	.	PUNCT
cana-5263	8	1	1	1	NUM
cana-5263	8	2	introduction	introduction	NOUN
cana-5263	8	3	crop	crop	NOUN
cana-5263	8	4	diseases	disease	NOUN
cana-5263	8	5	pose	pose	VERB
cana-5263	8	6	a	a	DET
cana-5263	8	7	significant	significant	ADJ
cana-5263	8	8	threat	threat	NOUN
cana-5263	8	9	to	to	ADP
cana-5263	8	10	global	global	ADJ
cana-5263	8	11	agricultural	agricultural	ADJ
cana-5263	8	12	productivity	productivity	NOUN
cana-5263	8	13	,	,	PUNCT
cana-5263	8	14	with	with	ADP
cana-5263	8	15	the	the	DET
cana-5263	8	16	potential	potential	NOUN
cana-5263	8	17	to	to	PART
cana-5263	8	18	cause	cause	VERB
cana-5263	8	19	severe	severe	ADJ
cana-5263	8	20	economic	economic	ADJ
cana-5263	8	21	losses	loss	NOUN
cana-5263	8	22	,	,	PUNCT
cana-5263	8	23	food	food	NOUN
cana-5263	8	24	shortages	shortage	NOUN
cana-5263	8	25	,	,	PUNCT
cana-5263	8	26	and	and	CCONJ
cana-5263	8	27	a	a	DET
cana-5263	8	28	negative	negative	ADJ
cana-5263	8	29	environmental	environmental	ADJ
cana-5263	8	30	impact	impact	NOUN
cana-5263	8	31	.	.	PUNCT
cana-5263	9	1	in	in	ADP
cana-5263	9	2	traditional	traditional	ADJ
cana-5263	9	3	agriculture	agriculture	NOUN
cana-5263	9	4	,	,	PUNCT
cana-5263	9	5	the	the	DET
cana-5263	9	6	early	early	ADJ
cana-5263	9	7	detection	detection	NOUN
cana-5263	9	8	and	and	CCONJ
cana-5263	9	9	timely	timely	ADJ
cana-5263	9	10	management	management	NOUN
cana-5263	9	11	of	of	ADP
cana-5263	9	12	plant	plant	NOUN
cana-5263	9	13	diseases	disease	NOUN
cana-5263	9	14	have	have	AUX
cana-5263	9	15	been	be	AUX
cana-5263	9	16	challenging	challenge	VERB
cana-5263	9	17	tasks	task	NOUN
cana-5263	9	18	,	,	PUNCT
cana-5263	9	19	often	often	ADV
cana-5263	9	20	relying	rely	VERB
cana-5263	9	21	on	on	ADP
cana-5263	9	22	manual	manual	ADJ
cana-5263	9	23	inspection	inspection	NOUN
cana-5263	9	24	,	,	PUNCT
cana-5263	9	25	expert	expert	NOUN
cana-5263	9	26	knowledge	knowledge	NOUN
cana-5263	9	27	,	,	PUNCT
cana-5263	9	28	and	and	CCONJ
cana-5263	9	29	reactive	reactive	ADJ
cana-5263	9	30	measures	measure	NOUN
cana-5263	9	31	.	.	PUNCT
cana-5263	10	1	however	however	ADV
cana-5263	10	2	,	,	PUNCT
cana-5263	10	3	as	as	SCONJ
cana-5263	10	4	agriculture	agriculture	NOUN
cana-5263	10	5	becomes	become	VERB
cana-5263	10	6	more	more	ADV
cana-5263	10	7	reliant	reliant	ADJ
cana-5263	10	8	on	on	ADP
cana-5263	10	9	technology	technology	NOUN
cana-5263	10	10	,	,	PUNCT
cana-5263	10	11	innovative	innovative	ADJ
cana-5263	10	12	solutions	solution	NOUN
cana-5263	10	13	have	have	AUX
cana-5263	10	14	emerged	emerge	VERB
cana-5263	10	15	to	to	PART
cana-5263	10	16	address	address	VERB
cana-5263	10	17	these	these	DET
cana-5263	10	18	issues	issue	NOUN
cana-5263	10	19	,	,	PUNCT
cana-5263	10	20	offering	offer	VERB
cana-5263	10	21	more	more	ADV
cana-5263	10	22	efficient	efficient	ADJ
cana-5263	10	23	,	,	PUNCT
cana-5263	10	24	automated	automate	VERB
cana-5263	10	25	,	,	PUNCT
cana-5263	10	26	and	and	CCONJ
cana-5263	10	27	accurate	accurate	ADJ
cana-5263	10	28	methods	method	NOUN
cana-5263	10	29	for	for	ADP
cana-5263	10	30	disease	disease	NOUN
cana-5263	10	31	detection	detection	NOUN
cana-5263	10	32	and	and	CCONJ
cana-5263	10	33	management	management	NOUN
cana-5263	10	34	.	.	PUNCT
cana-5263	11	1	one	one	NUM
cana-5263	11	2	such	such	ADJ
cana-5263	11	3	advancement	advancement	NOUN
cana-5263	11	4	is	be	AUX
cana-5263	11	5	the	the	DET
cana-5263	11	6	integration	integration	NOUN
cana-5263	11	7	of	of	ADP
cana-5263	11	8	internet	internet	NOUN
cana-5263	11	9	of	of	ADP
cana-5263	11	10	things	thing	NOUN
cana-5263	11	11	(	(	PUNCT
cana-5263	11	12	iot	iot	NOUN
cana-5263	11	13	)	)	PUNCT
cana-5263	11	14	sensors	sensor	NOUN
cana-5263	11	15	with	with	ADP
cana-5263	11	16	deep	deep	ADJ
cana-5263	11	17	learning	learning	NOUN
cana-5263	11	18	techniques	technique	NOUN
cana-5263	11	19	,	,	PUNCT
cana-5263	11	20	enabling	enable	VERB
cana-5263	11	21	the	the	DET
cana-5263	11	22	collection	collection	NOUN
cana-5263	11	23	and	and	CCONJ
cana-5263	11	24	analysis	analysis	NOUN
cana-5263	11	25	of	of	ADP
cana-5263	11	26	both	both	CCONJ
cana-5263	11	27	environmental	environmental	ADJ
cana-5263	11	28	and	and	CCONJ
cana-5263	11	29	visual	visual	ADJ
cana-5263	11	30	data	datum	NOUN
cana-5263	11	31	.	.	PUNCT
cana-5263	12	1	iot	iot	PROPN
cana-5263	12	2	sensors	sensor	NOUN
cana-5263	12	3	can	can	AUX
cana-5263	12	4	provide	provide	VERB
cana-5263	12	5	real	real	ADJ
cana-5263	12	6	-	-	PUNCT
cana-5263	12	7	time	time	NOUN
cana-5263	12	8	information	information	NOUN
cana-5263	12	9	about	about	ADP
cana-5263	12	10	environmental	environmental	ADJ
cana-5263	12	11	conditions	condition	NOUN
cana-5263	12	12	such	such	ADJ
cana-5263	12	13	as	as	ADP
cana-5263	12	14	temperature	temperature	NOUN
cana-5263	12	15	,	,	PUNCT
cana-5263	12	16	humidity	humidity	NOUN
cana-5263	12	17	,	,	PUNCT
cana-5263	12	18	and	and	CCONJ
cana-5263	12	19	soil	soil	NOUN
cana-5263	12	20	ph	ph	VERB
cana-5263	12	21	,	,	PUNCT
cana-5263	12	22	which	which	PRON
cana-5263	12	23	play	play	VERB
cana-5263	12	24	a	a	DET
cana-5263	12	25	crucial	crucial	ADJ
cana-5263	12	26	role	role	NOUN
cana-5263	12	27	in	in	ADP
cana-5263	12	28	the	the	DET
cana-5263	12	29	development	development	NOUN
cana-5263	12	30	and	and	CCONJ
cana-5263	12	31	spread	spread	VERB
cana-5263	12	32	of	of	ADP
cana-5263	12	33	crop	crop	NOUN
cana-5263	12	34	diseases	disease	NOUN
cana-5263	12	35	.	.	PUNCT
cana-5263	13	1	meanwhile	meanwhile	ADV
cana-5263	13	2	,	,	PUNCT
cana-5263	13	3	image	image	NOUN
cana-5263	13	4	processing	processing	NOUN
cana-5263	13	5	technologies	technology	NOUN
cana-5263	13	6	,	,	PUNCT
cana-5263	13	7	particularly	particularly	ADV
cana-5263	13	8	those	those	PRON
cana-5263	13	9	leveraging	leverage	VERB
cana-5263	13	10	deep	deep	ADJ
cana-5263	13	11	learning	learning	NOUN
cana-5263	13	12	models	model	NOUN
cana-5263	13	13	like	like	ADP
cana-5263	13	14	convolutional	convolutional	ADJ
cana-5263	13	15	neural	neural	ADJ
cana-5263	13	16	networks	network	NOUN
cana-5263	13	17	(	(	PUNCT
cana-5263	13	18	cnns	cnns	PROPN
cana-5263	13	19	)	)	PUNCT
cana-5263	13	20	,	,	PUNCT
cana-5263	13	21	allow	allow	VERB
cana-5263	13	22	for	for	ADP
cana-5263	13	23	the	the	DET
cana-5263	13	24	automatic	automatic	ADJ
cana-5263	13	25	extraction	extraction	NOUN
cana-5263	13	26	of	of	ADP
cana-5263	13	27	visual	visual	ADJ
cana-5263	13	28	features	feature	NOUN
cana-5263	13	29	from	from	ADP
cana-5263	13	30	crop	crop	NOUN
cana-5263	13	31	images	image	NOUN
cana-5263	13	32	,	,	PUNCT
cana-5263	13	33	enabling	enable	VERB
cana-5263	13	34	the	the	DET
cana-5263	13	35	identification	identification	NOUN
cana-5263	13	36	of	of	ADP
cana-5263	13	37	disease	disease	NOUN
cana-5263	13	38	symptoms	symptom	NOUN
cana-5263	13	39	on	on	ADP
cana-5263	13	40	leaves	leave	NOUN
cana-5263	13	41	or	or	CCONJ
cana-5263	13	42	other	other	ADJ
cana-5263	13	43	parts	part	NOUN
cana-5263	13	44	of	of	ADP
cana-5263	13	45	the	the	DET
cana-5263	13	46	plant	plant	NOUN
cana-5263	13	47	.	.	PUNCT
cana-5263	14	1	this	this	DET
cana-5263	14	2	research	research	NOUN
cana-5263	14	3	aims	aim	VERB
cana-5263	14	4	to	to	PART
cana-5263	14	5	explore	explore	VERB
cana-5263	14	6	and	and	CCONJ
cana-5263	14	7	develop	develop	VERB
cana-5263	14	8	an	an	DET
cana-5263	14	9	advanced	advanced	ADJ
cana-5263	14	10	crop	crop	NOUN
cana-5263	14	11	disease	disease	NOUN
cana-5263	14	12	detection	detection	NOUN
cana-5263	14	13	system	system	NOUN
cana-5263	14	14	that	that	PRON
cana-5263	14	15	combines	combine	VERB
cana-5263	14	16	iot	iot	NOUN
cana-5263	14	17	-	-	PUNCT
cana-5263	14	18	based	base	VERB
cana-5263	14	19	environmental	environmental	ADJ
cana-5263	14	20	sensing	sensing	NOUN
cana-5263	14	21	with	with	ADP
cana-5263	14	22	deep	deep	ADJ
cana-5263	14	23	learning	learning	NOUN
cana-5263	14	24	-	-	PUNCT
cana-5263	14	25	based	base	VERB
cana-5263	14	26	image	image	NOUN
cana-5263	14	27	analysis	analysis	NOUN
cana-5263	14	28	.	.	PUNCT
cana-5263	15	1	the	the	DET
cana-5263	15	2	proposed	propose	VERB
cana-5263	15	3	system	system	NOUN
cana-5263	15	4	uses	use	VERB
cana-5263	15	5	high	high	ADJ
cana-5263	15	6	-	-	PUNCT
cana-5263	15	7	resolution	resolution	NOUN
cana-5263	15	8	images	image	NOUN
cana-5263	15	9	of	of	ADP
cana-5263	15	10	crop	crop	NOUN
cana-5263	15	11	leaves	leave	NOUN
cana-5263	15	12	,	,	PUNCT
cana-5263	15	13	captured	capture	VERB
cana-5263	15	14	through	through	ADP
cana-5263	15	15	field	field	NOUN
cana-5263	15	16	-	-	PUNCT
cana-5263	15	17	deployed	deploy	VERB
cana-5263	15	18	cameras	camera	NOUN
cana-5263	15	19	,	,	PUNCT
cana-5263	15	20	and	and	CCONJ
cana-5263	15	21	environmental	environmental	ADJ
cana-5263	15	22	data	datum	NOUN
cana-5263	15	23	collected	collect	VERB
cana-5263	15	24	by	by	ADP
cana-5263	15	25	iot	iot	ADJ
cana-5263	15	26	sensors	sensor	NOUN
cana-5263	15	27	installed	instal	VERB
cana-5263	15	28	in	in	ADP
cana-5263	15	29	the	the	DET
cana-5263	15	30	crop	crop	NOUN
cana-5263	15	31	field	field	NOUN
cana-5263	15	32	.	.	PUNCT
cana-5263	16	1	by	by	ADP
cana-5263	16	2	employing	employ	VERB
cana-5263	16	3	a	a	DET
cana-5263	16	4	self	self	NOUN
cana-5263	16	5	-	-	PUNCT
cana-5263	16	6	attention	attention	NOUN
cana-5263	16	7	mechanism	mechanism	NOUN
cana-5263	16	8	mailto:khilendratumareki@gmail.com	mailto:khilendratumareki@gmail.com	X
cana-5263	16	9	communications	communication	NOUN
cana-5263	16	10	on	on	ADP
cana-5263	16	11	applied	apply	VERB
cana-5263	16	12	nonlinear	nonlinear	ADJ
cana-5263	16	13	analysis	analysis	NOUN
cana-5263	16	14	issn	issn	NOUN
cana-5263	16	15	:	:	PUNCT
cana-5263	16	16	1074	1074	NUM
cana-5263	16	17	-	-	PUNCT
cana-5263	16	18	133x	133x	NUM
cana-5263	16	19	vol	vol	VERB
cana-5263	16	20	32	32	NUM
cana-5263	16	21	no	no	NOUN
cana-5263	16	22	.	.	PUNCT
cana-5263	17	1	10s	10	NOUN
cana-5263	17	2	(	(	PUNCT
cana-5263	17	3	2025	2025	NUM
cana-5263	17	4	)	)	PUNCT
cana-5263	17	5	1605	1605	NUM
cana-5263	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	17	7	within	within	ADP
cana-5263	17	8	a	a	DET
cana-5263	17	9	deep	deep	ADJ
cana-5263	17	10	neural	neural	ADJ
cana-5263	17	11	network	network	NOUN
cana-5263	17	12	,	,	PUNCT
cana-5263	17	13	the	the	DET
cana-5263	17	14	system	system	NOUN
cana-5263	17	15	can	can	AUX
cana-5263	17	16	dynamically	dynamically	ADV
cana-5263	17	17	focus	focus	VERB
cana-5263	17	18	on	on	ADP
cana-5263	17	19	disease	disease	NOUN
cana-5263	17	20	-	-	PUNCT
cana-5263	17	21	specific	specific	ADJ
cana-5263	17	22	patterns	pattern	NOUN
cana-5263	17	23	in	in	ADP
cana-5263	17	24	the	the	DET
cana-5263	17	25	data	datum	NOUN
cana-5263	17	26	,	,	PUNCT
cana-5263	17	27	improving	improve	VERB
cana-5263	17	28	classification	classification	NOUN
cana-5263	17	29	accuracy	accuracy	NOUN
cana-5263	17	30	.	.	PUNCT
cana-5263	18	1	the	the	DET
cana-5263	18	2	significance	significance	NOUN
cana-5263	18	3	of	of	ADP
cana-5263	18	4	this	this	DET
cana-5263	18	5	study	study	NOUN
cana-5263	18	6	lies	lie	VERB
cana-5263	18	7	in	in	ADP
cana-5263	18	8	its	its	PRON
cana-5263	18	9	potential	potential	NOUN
cana-5263	18	10	to	to	PART
cana-5263	18	11	provide	provide	VERB
cana-5263	18	12	farmers	farmer	NOUN
cana-5263	18	13	with	with	ADP
cana-5263	18	14	a	a	DET
cana-5263	18	15	powerful	powerful	ADJ
cana-5263	18	16	,	,	PUNCT
cana-5263	18	17	automated	automate	VERB
cana-5263	18	18	tool	tool	NOUN
cana-5263	18	19	for	for	ADP
cana-5263	18	20	the	the	DET
cana-5263	18	21	early	early	ADJ
cana-5263	18	22	detection	detection	NOUN
cana-5263	18	23	of	of	ADP
cana-5263	18	24	crop	crop	NOUN
cana-5263	18	25	diseases	disease	NOUN
cana-5263	18	26	.	.	PUNCT
cana-5263	19	1	early	early	ADJ
cana-5263	19	2	intervention	intervention	NOUN
cana-5263	19	3	can	can	AUX
cana-5263	19	4	significantly	significantly	ADV
cana-5263	19	5	reduce	reduce	VERB
cana-5263	19	6	the	the	DET
cana-5263	19	7	economic	economic	ADJ
cana-5263	19	8	burden	burden	NOUN
cana-5263	19	9	of	of	ADP
cana-5263	19	10	diseases	disease	NOUN
cana-5263	19	11	and	and	CCONJ
cana-5263	19	12	minimize	minimize	VERB
cana-5263	19	13	the	the	DET
cana-5263	19	14	use	use	NOUN
cana-5263	19	15	of	of	ADP
cana-5263	19	16	pesticides	pesticide	NOUN
cana-5263	19	17	,	,	PUNCT
cana-5263	19	18	leading	lead	VERB
cana-5263	19	19	to	to	ADP
cana-5263	19	20	more	more	ADV
cana-5263	19	21	sustainable	sustainable	ADJ
cana-5263	19	22	agricultural	agricultural	ADJ
cana-5263	19	23	practices	practice	NOUN
cana-5263	19	24	.	.	PUNCT
cana-5263	20	1	additionally	additionally	ADV
cana-5263	20	2	,	,	PUNCT
cana-5263	20	3	this	this	DET
cana-5263	20	4	research	research	NOUN
cana-5263	20	5	contributes	contribute	VERB
cana-5263	20	6	to	to	ADP
cana-5263	20	7	the	the	DET
cana-5263	20	8	broader	broad	ADJ
cana-5263	20	9	field	field	NOUN
cana-5263	20	10	of	of	ADP
cana-5263	20	11	precision	precision	NOUN
cana-5263	20	12	agriculture	agriculture	NOUN
cana-5263	20	13	,	,	PUNCT
cana-5263	20	14	where	where	SCONJ
cana-5263	20	15	data	data	NOUN
cana-5263	20	16	-	-	PUNCT
cana-5263	20	17	driven	drive	VERB
cana-5263	20	18	solutions	solution	NOUN
cana-5263	20	19	are	be	AUX
cana-5263	20	20	transforming	transform	VERB
cana-5263	20	21	the	the	DET
cana-5263	20	22	way	way	NOUN
cana-5263	20	23	crops	crop	NOUN
cana-5263	20	24	are	be	AUX
cana-5263	20	25	monitored	monitor	VERB
cana-5263	20	26	,	,	PUNCT
cana-5263	20	27	managed	manage	VERB
cana-5263	20	28	,	,	PUNCT
cana-5263	20	29	and	and	CCONJ
cana-5263	20	30	protected	protect	VERB
cana-5263	20	31	.	.	PUNCT
cana-5263	21	1	this	this	DET
cana-5263	21	2	paper	paper	NOUN
cana-5263	21	3	outlines	outline	VERB
cana-5263	21	4	the	the	DET
cana-5263	21	5	methodology	methodology	NOUN
cana-5263	21	6	for	for	ADP
cana-5263	21	7	crop	crop	NOUN
cana-5263	21	8	disease	disease	NOUN
cana-5263	21	9	detection	detection	NOUN
cana-5263	21	10	,	,	PUNCT
cana-5263	21	11	explains	explain	VERB
cana-5263	21	12	the	the	DET
cana-5263	21	13	deep	deep	ADJ
cana-5263	21	14	learning	learning	NOUN
cana-5263	21	15	models	model	NOUN
cana-5263	21	16	and	and	CCONJ
cana-5263	21	17	techniques	technique	NOUN
cana-5263	21	18	employed	employ	VERB
cana-5263	21	19	,	,	PUNCT
cana-5263	21	20	and	and	CCONJ
cana-5263	21	21	discusses	discuss	VERB
cana-5263	21	22	the	the	DET
cana-5263	21	23	experimental	experimental	ADJ
cana-5263	21	24	results	result	NOUN
cana-5263	21	25	obtained	obtain	VERB
cana-5263	21	26	from	from	ADP
cana-5263	21	27	the	the	DET
cana-5263	21	28	proposed	propose	VERB
cana-5263	21	29	system	system	NOUN
cana-5263	21	30	.	.	PUNCT
cana-5263	22	1	it	it	PRON
cana-5263	22	2	also	also	ADV
cana-5263	22	3	highlights	highlight	VERB
cana-5263	22	4	the	the	DET
cana-5263	22	5	challenges	challenge	NOUN
cana-5263	22	6	faced	face	VERB
cana-5263	22	7	during	during	ADP
cana-5263	22	8	development	development	NOUN
cana-5263	22	9	and	and	CCONJ
cana-5263	22	10	the	the	DET
cana-5263	22	11	potential	potential	ADJ
cana-5263	22	12	future	future	ADJ
cana-5263	22	13	directions	direction	NOUN
cana-5263	22	14	for	for	ADP
cana-5263	22	15	improving	improve	VERB
cana-5263	22	16	the	the	DET
cana-5263	22	17	system	system	NOUN
cana-5263	22	18	's	's	PART
cana-5263	22	19	accuracy	accuracy	NOUN
cana-5263	22	20	,	,	PUNCT
cana-5263	22	21	scalability	scalability	NOUN
cana-5263	22	22	,	,	PUNCT
cana-5263	22	23	and	and	CCONJ
cana-5263	22	24	applicability	applicability	NOUN
cana-5263	22	25	in	in	ADP
cana-5263	22	26	real	real	ADJ
cana-5263	22	27	-	-	PUNCT
cana-5263	22	28	world	world	NOUN
cana-5263	22	29	agricultural	agricultural	ADJ
cana-5263	22	30	settings	setting	NOUN
cana-5263	22	31	.	.	PUNCT
cana-5263	23	1	2	2	NUM
cana-5263	23	2	literature	literature	NOUN
cana-5263	23	3	review	review	VERB
cana-5263	23	4	the	the	DET
cana-5263	23	5	field	field	NOUN
cana-5263	23	6	of	of	ADP
cana-5263	23	7	crop	crop	NOUN
cana-5263	23	8	disease	disease	NOUN
cana-5263	23	9	detection	detection	NOUN
cana-5263	23	10	has	have	AUX
cana-5263	23	11	gained	gain	VERB
cana-5263	23	12	significant	significant	ADJ
cana-5263	23	13	attention	attention	NOUN
cana-5263	23	14	in	in	ADP
cana-5263	23	15	recent	recent	ADJ
cana-5263	23	16	years	year	NOUN
cana-5263	23	17	,	,	PUNCT
cana-5263	23	18	driven	drive	VERB
cana-5263	23	19	by	by	ADP
cana-5263	23	20	the	the	DET
cana-5263	23	21	need	need	NOUN
cana-5263	23	22	for	for	ADP
cana-5263	23	23	more	more	ADV
cana-5263	23	24	efficient	efficient	ADJ
cana-5263	23	25	and	and	CCONJ
cana-5263	23	26	sustainable	sustainable	ADJ
cana-5263	23	27	agricultural	agricultural	ADJ
cana-5263	23	28	practices	practice	NOUN
cana-5263	23	29	.	.	PUNCT
cana-5263	24	1	traditional	traditional	ADJ
cana-5263	24	2	methods	method	NOUN
cana-5263	24	3	of	of	ADP
cana-5263	24	4	disease	disease	NOUN
cana-5263	24	5	detection	detection	NOUN
cana-5263	24	6	,	,	PUNCT
cana-5263	24	7	primarily	primarily	ADV
cana-5263	24	8	based	base	VERB
cana-5263	24	9	on	on	ADP
cana-5263	24	10	visual	visual	ADJ
cana-5263	24	11	inspection	inspection	NOUN
cana-5263	24	12	by	by	ADP
cana-5263	24	13	experts	expert	NOUN
cana-5263	24	14	,	,	PUNCT
cana-5263	24	15	have	have	VERB
cana-5263	24	16	limitations	limitation	NOUN
cana-5263	24	17	in	in	ADP
cana-5263	24	18	terms	term	NOUN
cana-5263	24	19	of	of	ADP
cana-5263	24	20	speed	speed	NOUN
cana-5263	24	21	,	,	PUNCT
cana-5263	24	22	accuracy	accuracy	NOUN
cana-5263	24	23	,	,	PUNCT
cana-5263	24	24	and	and	CCONJ
cana-5263	24	25	scalability	scalability	NOUN
cana-5263	24	26	.	.	PUNCT
cana-5263	25	1	as	as	ADP
cana-5263	25	2	a	a	DET
cana-5263	25	3	result	result	NOUN
cana-5263	25	4	,	,	PUNCT
cana-5263	25	5	there	there	PRON
cana-5263	25	6	has	have	AUX
cana-5263	25	7	been	be	AUX
cana-5263	25	8	a	a	DET
cana-5263	25	9	growing	grow	VERB
cana-5263	25	10	interest	interest	NOUN
cana-5263	25	11	in	in	ADP
cana-5263	25	12	utilizing	utilize	VERB
cana-5263	25	13	advanced	advanced	ADJ
cana-5263	25	14	technologies	technology	NOUN
cana-5263	25	15	such	such	ADJ
cana-5263	25	16	as	as	ADP
cana-5263	25	17	image	image	NOUN
cana-5263	25	18	processing	processing	NOUN
cana-5263	25	19	,	,	PUNCT
cana-5263	25	20	internet	internet	NOUN
cana-5263	25	21	of	of	ADP
cana-5263	25	22	things	thing	NOUN
cana-5263	25	23	(	(	PUNCT
cana-5263	25	24	iot	iot	NOUN
cana-5263	25	25	)	)	PUNCT
cana-5263	25	26	,	,	PUNCT
cana-5263	25	27	and	and	CCONJ
cana-5263	25	28	machine	machine	NOUN
cana-5263	25	29	learning	learn	VERB
cana-5263	25	30	to	to	PART
cana-5263	25	31	address	address	VERB
cana-5263	25	32	these	these	DET
cana-5263	25	33	challenges	challenge	NOUN
cana-5263	25	34	.	.	PUNCT
cana-5263	26	1	in	in	ADP
cana-5263	26	2	particular	particular	ADJ
cana-5263	26	3	,	,	PUNCT
cana-5263	26	4	deep	deep	ADJ
cana-5263	26	5	learning	learning	NOUN
cana-5263	26	6	-	-	PUNCT
cana-5263	26	7	based	base	VERB
cana-5263	26	8	models	model	NOUN
cana-5263	26	9	have	have	AUX
cana-5263	26	10	shown	show	VERB
cana-5263	26	11	great	great	ADJ
cana-5263	26	12	promise	promise	NOUN
cana-5263	26	13	in	in	ADP
cana-5263	26	14	automating	automate	VERB
cana-5263	26	15	the	the	DET
cana-5263	26	16	process	process	NOUN
cana-5263	26	17	of	of	ADP
cana-5263	26	18	disease	disease	NOUN
cana-5263	26	19	detection	detection	NOUN
cana-5263	26	20	through	through	ADP
cana-5263	26	21	the	the	DET
cana-5263	26	22	analysis	analysis	NOUN
cana-5263	26	23	of	of	ADP
cana-5263	26	24	high	high	ADJ
cana-5263	26	25	-	-	PUNCT
cana-5263	26	26	resolution	resolution	NOUN
cana-5263	26	27	images	image	NOUN
cana-5263	26	28	of	of	ADP
cana-5263	26	29	crops	crop	NOUN
cana-5263	26	30	.	.	PUNCT
cana-5263	27	1	the	the	DET
cana-5263	27	2	integration	integration	NOUN
cana-5263	27	3	of	of	ADP
cana-5263	27	4	iot	iot	ADJ
cana-5263	27	5	sensors	sensor	NOUN
cana-5263	27	6	,	,	PUNCT
cana-5263	27	7	which	which	PRON
cana-5263	27	8	monitor	monitor	VERB
cana-5263	27	9	environmental	environmental	ADJ
cana-5263	27	10	factors	factor	NOUN
cana-5263	27	11	such	such	ADJ
cana-5263	27	12	as	as	ADP
cana-5263	27	13	humidity	humidity	NOUN
cana-5263	27	14	,	,	PUNCT
cana-5263	27	15	temperature	temperature	NOUN
cana-5263	27	16	,	,	PUNCT
cana-5263	27	17	and	and	CCONJ
cana-5263	27	18	soil	soil	NOUN
cana-5263	27	19	conditions	condition	NOUN
cana-5263	27	20	,	,	PUNCT
cana-5263	27	21	has	have	AUX
cana-5263	27	22	further	far	ADV
cana-5263	27	23	enhanced	enhance	VERB
cana-5263	27	24	the	the	DET
cana-5263	27	25	accuracy	accuracy	NOUN
cana-5263	27	26	of	of	ADP
cana-5263	27	27	these	these	DET
cana-5263	27	28	systems	system	NOUN
cana-5263	27	29	by	by	ADP
cana-5263	27	30	providing	provide	VERB
cana-5263	27	31	critical	critical	ADJ
cana-5263	27	32	contextual	contextual	ADJ
cana-5263	27	33	information	information	NOUN
cana-5263	27	34	.	.	PUNCT
cana-5263	28	1	recent	recent	ADJ
cana-5263	28	2	studies	study	NOUN
cana-5263	28	3	have	have	AUX
cana-5263	28	4	explored	explore	VERB
cana-5263	28	5	various	various	ADJ
cana-5263	28	6	machine	machine	NOUN
cana-5263	28	7	learning	learn	VERB
cana-5263	28	8	techniques	technique	NOUN
cana-5263	28	9	,	,	PUNCT
cana-5263	28	10	including	include	VERB
cana-5263	28	11	convolutional	convolutional	ADJ
cana-5263	28	12	neural	neural	ADJ
cana-5263	28	13	networks	network	NOUN
cana-5263	28	14	(	(	PUNCT
cana-5263	28	15	cnns	cnns	PROPN
cana-5263	28	16	)	)	PUNCT
cana-5263	28	17	,	,	PUNCT
cana-5263	28	18	transfer	transfer	NOUN
cana-5263	28	19	learning	learning	NOUN
cana-5263	28	20	,	,	PUNCT
cana-5263	28	21	and	and	CCONJ
cana-5263	28	22	attention	attention	NOUN
cana-5263	28	23	mechanisms	mechanism	NOUN
cana-5263	28	24	,	,	PUNCT
cana-5263	28	25	to	to	PART
cana-5263	28	26	improve	improve	VERB
cana-5263	28	27	the	the	DET
cana-5263	28	28	precision	precision	NOUN
cana-5263	28	29	and	and	CCONJ
cana-5263	28	30	reliability	reliability	NOUN
cana-5263	28	31	of	of	ADP
cana-5263	28	32	crop	crop	NOUN
cana-5263	28	33	disease	disease	NOUN
cana-5263	28	34	classification	classification	NOUN
cana-5263	28	35	.	.	PUNCT
cana-5263	29	1	this	this	DET
cana-5263	29	2	chapter	chapter	NOUN
cana-5263	29	3	reviews	review	VERB
cana-5263	29	4	key	key	ADJ
cana-5263	29	5	research	research	NOUN
cana-5263	29	6	contributions	contribution	NOUN
cana-5263	29	7	in	in	ADP
cana-5263	29	8	the	the	DET
cana-5263	29	9	area	area	NOUN
cana-5263	29	10	of	of	ADP
cana-5263	29	11	crop	crop	NOUN
cana-5263	29	12	disease	disease	NOUN
cana-5263	29	13	detection	detection	NOUN
cana-5263	29	14	,	,	PUNCT
cana-5263	29	15	highlighting	highlight	VERB
cana-5263	29	16	the	the	DET
cana-5263	29	17	methodologies	methodology	NOUN
cana-5263	29	18	,	,	PUNCT
cana-5263	29	19	innovations	innovation	NOUN
cana-5263	29	20	,	,	PUNCT
cana-5263	29	21	and	and	CCONJ
cana-5263	29	22	challenges	challenge	NOUN
cana-5263	29	23	encountered	encounter	VERB
cana-5263	29	24	in	in	ADP
cana-5263	29	25	developing	develop	VERB
cana-5263	29	26	robust	robust	ADJ
cana-5263	29	27	systems	system	NOUN
cana-5263	29	28	for	for	ADP
cana-5263	29	29	real	real	ADJ
cana-5263	29	30	-	-	PUNCT
cana-5263	29	31	time	time	NOUN
cana-5263	29	32	disease	disease	NOUN
cana-5263	29	33	monitoring	monitoring	NOUN
cana-5263	29	34	and	and	CCONJ
cana-5263	29	35	intervention	intervention	NOUN
cana-5263	29	36	.	.	PUNCT
cana-5263	30	1	paper	paper	NOUN
cana-5263	30	2	title	title	NOUN
cana-5263	30	3	key	key	ADJ
cana-5263	30	4	findings	finding	NOUN
cana-5263	30	5	remarks	remark	VERB
cana-5263	30	6	lightweight	lightweight	ADJ
cana-5263	30	7	metaensemble	metaensemble	ADJ
cana-5263	30	8	approach	approach	NOUN
cana-5263	30	9	•	•	NOUN
cana-5263	30	10	94	94	NUM
cana-5263	30	11	-	-	SYM
cana-5263	30	12	98	98	NUM
cana-5263	30	13	%	%	NOUN
cana-5263	30	14	accuracy	accuracy	NOUN
cana-5263	30	15	across	across	ADP
cana-5263	30	16	datasets	dataset	NOUN
cana-5263	30	17	•	•	ADP
cana-5263	30	18	reduced	reduced	ADJ
cana-5263	30	19	parameters	parameter	NOUN
cana-5263	30	20	(	(	PUNCT
cana-5263	30	21	<	<	X
cana-5263	30	22	1	1	NUM
cana-5263	30	23	m	m	NOUN
cana-5263	30	24	)	)	PUNCT
cana-5263	30	25	•	•	NUM
cana-5263	30	26	iot	iot	NOUN
cana-5263	30	27	device	device	NOUN
cana-5263	30	28	compatibility	compatibility	NOUN
cana-5263	30	29	•	•	NOUN
cana-5263	30	30	meta	meta	X
cana-5263	30	31	-	-	PUNCT
cana-5263	30	32	ensemble	ensemble	NOUN
cana-5263	30	33	of	of	ADP
cana-5263	30	34	mlpmixer	mlpmixer	NOUN
cana-5263	30	35	and	and	CCONJ
cana-5263	30	36	lstm	lstm	ADJ
cana-5263	30	37	basic	basic	ADJ
cana-5263	30	38	feature	feature	NOUN
cana-5263	30	39	concatenation	concatenation	NOUN
cana-5263	30	40	without	without	ADP
cana-5263	30	41	selection	selection	NOUN
cana-5263	30	42	mechanism	mechanism	NOUN
cana-5263	30	43	;	;	PUNCT
cana-5263	30	44	simple	simple	ADJ
cana-5263	30	45	svm	svm	NOUN
cana-5263	30	46	classifier	classifier	NOUN
cana-5263	30	47	limiting	limit	VERB
cana-5263	30	48	feature	feature	NOUN
cana-5263	30	49	interaction	interaction	NOUN
cana-5263	30	50	transfer	transfer	NOUN
cana-5263	30	51	learning	learn	VERB
cana-5263	30	52	with	with	ADP
cana-5263	30	53	c	c	NOUN
cana-5263	30	54	-	-	PUNCT
cana-5263	30	55	gan	gin	VERB
cana-5263	30	56	•	•	NOUN
cana-5263	30	57	synthetic	synthetic	ADJ
cana-5263	30	58	data	datum	NOUN
cana-5263	30	59	generation	generation	NOUN
cana-5263	30	60	•	•	NUM
cana-5263	30	61	97	97	NUM
cana-5263	30	62	%	%	NOUN
cana-5263	30	63	classification	classification	NOUN
cana-5263	30	64	accuracy	accuracy	NOUN
cana-5263	30	65	•	•	ADP
cana-5263	30	66	densenet121	densenet121	PROPN
cana-5263	30	67	backbone	backbone	NOUN
cana-5263	30	68	innovative	innovative	ADJ
cana-5263	30	69	data	datum	NOUN
cana-5263	30	70	synthesis	synthesis	NOUN
cana-5263	30	71	but	but	CCONJ
cana-5263	30	72	computationally	computationally	ADV
cana-5263	30	73	expensive	expensive	ADJ
cana-5263	30	74	;	;	PUNCT
cana-5263	30	75	limited	limited	ADJ
cana-5263	30	76	real	real	ADJ
cana-5263	30	77	-	-	PUNCT
cana-5263	30	78	world	world	NOUN
cana-5263	30	79	validation	validation	NOUN
cana-5263	30	80	communications	communication	NOUN
cana-5263	30	81	on	on	ADP
cana-5263	30	82	applied	apply	VERB
cana-5263	30	83	nonlinear	nonlinear	ADJ
cana-5263	30	84	analysis	analysis	NOUN
cana-5263	30	85	issn	issn	NOUN
cana-5263	30	86	:	:	PUNCT
cana-5263	30	87	1074	1074	NUM
cana-5263	30	88	-	-	PUNCT
cana-5263	30	89	133x	133x	NUM
cana-5263	30	90	vol	vol	VERB
cana-5263	30	91	32	32	NUM
cana-5263	30	92	no	no	NOUN
cana-5263	30	93	.	.	PUNCT
cana-5263	31	1	10s	10	NOUN
cana-5263	31	2	(	(	PUNCT
cana-5263	31	3	2025	2025	NUM
cana-5263	31	4	)	)	PUNCT
cana-5263	31	5	1606	1606	NUM
cana-5263	31	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	31	7	•	•	NUM
cana-5263	31	8	improved	improve	VERB
cana-5263	31	9	data	datum	NOUN
cana-5263	31	10	augmentation	augmentation	NOUN
cana-5263	31	11	efficientnet	efficientnet	NOUN
cana-5263	31	12	for	for	ADP
cana-5263	31	13	classification	classification	NOUN
cana-5263	31	14	•	•	NOUN
cana-5263	31	15	multi	multi	ADJ
cana-5263	31	16	-	-	ADJ
cana-5263	31	17	crop	crop	ADJ
cana-5263	31	18	disease	disease	NOUN
cana-5263	31	19	detection	detection	NOUN
cana-5263	31	20	•	•	NOUN
cana-5263	31	21	95	95	NUM
cana-5263	31	22	%	%	NOUN
cana-5263	31	23	accuracy	accuracy	NOUN
cana-5263	31	24	achieved	achieve	VERB
cana-5263	31	25	•	•	NUM
cana-5263	31	26	efficient	efficient	ADJ
cana-5263	31	27	feature	feature	NOUN
cana-5263	31	28	extraction	extraction	NOUN
cana-5263	31	29	•	•	NOUN
cana-5263	31	30	lightweight	lightweight	ADJ
cana-5263	31	31	architecture	architecture	NOUN
cana-5263	31	32	good	good	ADJ
cana-5263	31	33	efficiency	efficiency	NOUN
cana-5263	31	34	but	but	CCONJ
cana-5263	31	35	lacks	lack	VERB
cana-5263	31	36	feature	feature	NOUN
cana-5263	31	37	selection	selection	NOUN
cana-5263	31	38	;	;	PUNCT
cana-5263	31	39	no	no	DET
cana-5263	31	40	attention	attention	NOUN
cana-5263	31	41	mechanism	mechanism	NOUN
cana-5263	31	42	implementation	implementation	NOUN
cana-5263	31	43	vision	vision	NOUN
cana-5263	31	44	transformer	transformer	NOUN
cana-5263	31	45	approach	approach	NOUN
cana-5263	31	46	•	•	NOUN
cana-5263	31	47	93	93	NUM
cana-5263	31	48	%	%	NOUN
cana-5263	31	49	average	average	ADJ
cana-5263	31	50	accuracy	accuracy	NOUN
cana-5263	31	51	•	•	ADP
cana-5263	31	52	explainable	explainable	ADJ
cana-5263	31	53	ai	ai	NOUN
cana-5263	31	54	approach	approach	NOUN
cana-5263	31	55	•	•	NOUN
cana-5263	31	56	good	good	ADJ
cana-5263	31	57	feature	feature	NOUN
cana-5263	31	58	visualization	visualization	NOUN
cana-5263	31	59	•	•	ADP
cana-5263	31	60	multi	multi	ADJ
cana-5263	31	61	-	-	ADJ
cana-5263	31	62	head	head	ADJ
cana-5263	31	63	attention	attention	NOUN
cana-5263	31	64	strong	strong	ADJ
cana-5263	31	65	attention	attention	NOUN
cana-5263	31	66	framework	framework	NOUN
cana-5263	31	67	but	but	CCONJ
cana-5263	31	68	resource	resource	NOUN
cana-5263	31	69	-	-	PUNCT
cana-5263	31	70	intensive	intensive	ADJ
cana-5263	31	71	;	;	PUNCT
cana-5263	31	72	complex	complex	ADJ
cana-5263	31	73	deployment	deployment	NOUN
cana-5263	31	74	requirements	requirement	NOUN
cana-5263	31	75	novel	novel	VERB
cana-5263	31	76	cnn	cnn	NOUN
cana-5263	31	77	architecture	architecture	NOUN
cana-5263	31	78	•	•	NOUN
cana-5263	31	79	real	real	ADJ
cana-5263	31	80	-	-	PUNCT
cana-5263	31	81	time	time	NOUN
cana-5263	31	82	processing	processing	NOUN
cana-5263	31	83	capability	capability	NOUN
cana-5263	31	84	•	•	NOUN
cana-5263	31	85	96	96	NUM
cana-5263	31	86	%	%	NOUN
cana-5263	31	87	classification	classification	NOUN
cana-5263	31	88	accuracy	accuracy	NOUN
cana-5263	31	89	•	•	ADP
cana-5263	31	90	multi	multi	ADJ
cana-5263	31	91	-	-	ADJ
cana-5263	31	92	disease	disease	ADJ
cana-5263	31	93	classification	classification	NOUN
cana-5263	31	94	•	•	NOUN
cana-5263	31	95	optimized	optimize	VERB
cana-5263	31	96	architecture	architecture	NOUN
cana-5263	31	97	efficient	efficient	ADJ
cana-5263	31	98	real	real	ADJ
cana-5263	31	99	-	-	PUNCT
cana-5263	31	100	time	time	NOUN
cana-5263	31	101	processing	processing	NOUN
cana-5263	31	102	but	but	CCONJ
cana-5263	31	103	basic	basic	ADJ
cana-5263	31	104	feature	feature	NOUN
cana-5263	31	105	handling	handling	NOUN
cana-5263	31	106	;	;	PUNCT
cana-5263	31	107	no	no	DET
cana-5263	31	108	advanced	advanced	ADJ
cana-5263	31	109	feature	feature	NOUN
cana-5263	31	110	selection	selection	NOUN
cana-5263	31	111	attention	attention	NOUN
cana-5263	31	112	dense	dense	ADJ
cana-5263	31	113	cnn	cnn	PROPN
cana-5263	31	114	•	•	NOUN
cana-5263	31	115	smartphone	smartphone	NOUN
cana-5263	31	116	compatibility	compatibility	NOUN
cana-5263	31	117	•	•	ADP
cana-5263	31	118	97	97	NUM
cana-5263	31	119	%	%	NOUN
cana-5263	31	120	accuracy	accuracy	NOUN
cana-5263	31	121	achieved	achieve	VERB
cana-5263	31	122	•	•	NUM
cana-5263	31	123	real	real	ADJ
cana-5263	31	124	-	-	PUNCT
cana-5263	31	125	world	world	NOUN
cana-5263	31	126	image	image	NOUN
cana-5263	31	127	processing	processing	NOUN
cana-5263	31	128	•	•	NOUN
cana-5263	31	129	resource	resource	NOUN
cana-5263	31	130	-	-	PUNCT
cana-5263	31	131	efficient	efficient	ADJ
cana-5263	31	132	design	design	NOUN
cana-5263	31	133	mobile	mobile	NOUN
cana-5263	31	134	-	-	PUNCT
cana-5263	31	135	friendly	friendly	ADJ
cana-5263	31	136	but	but	CCONJ
cana-5263	31	137	limited	limited	ADJ
cana-5263	31	138	feature	feature	NOUN
cana-5263	31	139	interaction	interaction	NOUN
cana-5263	31	140	;	;	PUNCT
cana-5263	31	141	basic	basic	ADJ
cana-5263	31	142	attention	attention	NOUN
cana-5263	31	143	implementation	implementation	NOUN
cana-5263	31	144	3	3	NUM
cana-5263	31	145	methodology	methodology	NOUN
cana-5263	31	146	3.1	3.1	NUM
cana-5263	31	147	proposed	propose	VERB
cana-5263	31	148	methodology	methodology	NOUN
cana-5263	31	149	the	the	DET
cana-5263	31	150	proposed	propose	VERB
cana-5263	31	151	methodology	methodology	NOUN
cana-5263	31	152	aims	aim	VERB
cana-5263	31	153	to	to	PART
cana-5263	31	154	accurately	accurately	ADV
cana-5263	31	155	detect	detect	VERB
cana-5263	31	156	crop	crop	NOUN
cana-5263	31	157	diseases	disease	NOUN
cana-5263	31	158	by	by	ADP
cana-5263	31	159	leveraging	leverage	VERB
cana-5263	31	160	advanced	advanced	ADJ
cana-5263	31	161	deep	deep	ADJ
cana-5263	31	162	learning	learning	NOUN
cana-5263	31	163	techniques	technique	NOUN
cana-5263	31	164	integrated	integrate	VERB
cana-5263	31	165	with	with	ADP
cana-5263	31	166	iot	iot	NOUN
cana-5263	31	167	-	-	PUNCT
cana-5263	31	168	based	base	VERB
cana-5263	31	169	environmental	environmental	ADJ
cana-5263	31	170	sensing	sensing	NOUN
cana-5263	31	171	.	.	PUNCT
cana-5263	32	1	the	the	DET
cana-5263	32	2	methodology	methodology	NOUN
cana-5263	32	3	comprises	comprise	VERB
cana-5263	32	4	the	the	DET
cana-5263	32	5	following	follow	VERB
cana-5263	32	6	core	core	NOUN
cana-5263	32	7	components	component	NOUN
cana-5263	32	8	:	:	PUNCT
cana-5263	32	9	image	image	NOUN
cana-5263	32	10	acquisition	acquisition	NOUN
cana-5263	32	11	,	,	PUNCT
cana-5263	32	12	iot	iot	PROPN
cana-5263	32	13	data	data	PROPN
cana-5263	32	14	collection	collection	NOUN
cana-5263	32	15	,	,	PUNCT
cana-5263	32	16	preprocessing	preprocessing	NOUN
cana-5263	32	17	,	,	PUNCT
cana-5263	32	18	feature	feature	NOUN
cana-5263	32	19	extraction	extraction	NOUN
cana-5263	32	20	,	,	PUNCT
cana-5263	32	21	feature	feature	NOUN
cana-5263	32	22	selection	selection	NOUN
cana-5263	32	23	,	,	PUNCT
cana-5263	32	24	fusion	fusion	NOUN
cana-5263	32	25	,	,	PUNCT
cana-5263	32	26	and	and	CCONJ
cana-5263	32	27	final	final	ADJ
cana-5263	32	28	classification	classification	NOUN
cana-5263	32	29	through	through	ADP
cana-5263	32	30	a	a	DET
cana-5263	32	31	self	self	NOUN
cana-5263	32	32	-	-	PUNCT
cana-5263	32	33	attention	attention	NOUN
cana-5263	32	34	-	-	PUNCT
cana-5263	32	35	based	base	VERB
cana-5263	32	36	deep	deep	ADJ
cana-5263	32	37	neural	neural	ADJ
cana-5263	32	38	network	network	NOUN
cana-5263	32	39	.	.	PUNCT
cana-5263	33	1	let	let	VERB
cana-5263	33	2	the	the	DET
cana-5263	33	3	dataset	dataset	NOUN
cana-5263	33	4	be	be	AUX
cana-5263	33	5	denoted	denote	VERB
cana-5263	33	6	by	by	ADP
cana-5263	33	7	𝒟	𝒟	PROPN
cana-5263	33	8	=	=	SYM
cana-5263	33	9	{	{	PUNCT
cana-5263	33	10	(	(	PUNCT
cana-5263	33	11	𝐼𝑖	𝐼𝑖	PROPN
cana-5263	33	12	,	,	PUNCT
cana-5263	33	13	𝑆𝑖	𝑆𝑖	PROPN
cana-5263	33	14	,	,	PUNCT
cana-5263	33	15	𝑦𝑖)}𝑖=1	𝑦𝑖)}𝑖=1	ADJ
cana-5263	33	16	𝑁	𝑁	PROPN
cana-5263	33	17	where	where	SCONJ
cana-5263	33	18	:	:	PUNCT
cana-5263	33	19	ii	ii	PROPN
cana-5263	33	20	is	be	AUX
cana-5263	33	21	the	the	DET
cana-5263	33	22	ith	ith	ADJ
cana-5263	33	23	image	image	NOUN
cana-5263	33	24	of	of	ADP
cana-5263	33	25	a	a	DET
cana-5263	33	26	crop	crop	NOUN
cana-5263	33	27	leaf	leaf	NOUN
cana-5263	33	28	captured	capture	VERB
cana-5263	33	29	via	via	ADP
cana-5263	33	30	camera	camera	NOUN
cana-5263	33	31	-	-	PUNCT
cana-5263	33	32	based	base	VERB
cana-5263	33	33	monitoring	monitoring	NOUN
cana-5263	33	34	,	,	PUNCT
cana-5263	33	35	communications	communication	NOUN
cana-5263	33	36	on	on	ADP
cana-5263	33	37	applied	apply	VERB
cana-5263	33	38	nonlinear	nonlinear	ADJ
cana-5263	33	39	analysis	analysis	NOUN
cana-5263	33	40	issn	issn	NOUN
cana-5263	33	41	:	:	PUNCT
cana-5263	33	42	1074	1074	NUM
cana-5263	33	43	-	-	PUNCT
cana-5263	33	44	133x	133x	NUM
cana-5263	33	45	vol	vol	VERB
cana-5263	33	46	32	32	NUM
cana-5263	33	47	no	no	NOUN
cana-5263	33	48	.	.	PUNCT
cana-5263	34	1	10s	10	NOUN
cana-5263	34	2	(	(	PUNCT
cana-5263	34	3	2025	2025	NUM
cana-5263	34	4	)	)	PUNCT
cana-5263	34	5	1607	1607	NUM
cana-5263	34	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	34	7	si	si	PROPN
cana-5263	34	8	∈	∈	PROPN
cana-5263	34	9	rm	rm	NOUN
cana-5263	34	10	represents	represent	VERB
cana-5263	34	11	the	the	DET
cana-5263	34	12	iot	iot	PROPN
cana-5263	34	13	sensor	sensor	NOUN
cana-5263	34	14	data	datum	NOUN
cana-5263	34	15	vector	vector	NOUN
cana-5263	34	16	corresponding	correspond	VERB
cana-5263	34	17	to	to	ADP
cana-5263	34	18	the	the	DET
cana-5263	34	19	environmental	environmental	ADJ
cana-5263	34	20	condition	condition	NOUN
cana-5263	34	21	(	(	PUNCT
cana-5263	34	22	e.g.	e.g.	ADV
cana-5263	34	23	,	,	PUNCT
cana-5263	34	24	humidity	humidity	NOUN
cana-5263	34	25	,	,	PUNCT
cana-5263	34	26	temperature	temperature	NOUN
cana-5263	34	27	,	,	PUNCT
cana-5263	34	28	soil	soil	NOUN
cana-5263	34	29	ph	ph	VERB
cana-5263	34	30	,	,	PUNCT
cana-5263	34	31	light	light	ADJ
cana-5263	34	32	intensity	intensity	NOUN
cana-5263	34	33	)	)	PUNCT
cana-5263	34	34	,	,	PUNCT
cana-5263	34	35	yi	yi	PROPN
cana-5263	34	36	∈	∈	PROPN
cana-5263	34	37	{	{	PUNCT
cana-5263	34	38	1,2	1,2	NUM
cana-5263	34	39	,	,	PUNCT
cana-5263	34	40	…	…	PUNCT
cana-5263	34	41	,	,	PUNCT
cana-5263	34	42	c	c	X
cana-5263	34	43	}	}	PUNCT
cana-5263	34	44	is	be	AUX
cana-5263	34	45	the	the	DET
cana-5263	34	46	label	label	NOUN
cana-5263	34	47	indicating	indicate	VERB
cana-5263	34	48	one	one	NUM
cana-5263	34	49	of	of	ADP
cana-5263	34	50	c	c	NOUN
cana-5263	34	51	known	know	VERB
cana-5263	34	52	crop	crop	NOUN
cana-5263	34	53	disease	disease	NOUN
cana-5263	34	54	classes	class	NOUN
cana-5263	34	55	or	or	CCONJ
cana-5263	34	56	healthy	healthy	ADJ
cana-5263	34	57	condition	condition	NOUN
cana-5263	34	58	.	.	PUNCT
cana-5263	35	1	3.1.1	3.1.1	NUM
cana-5263	35	2	image	image	NOUN
cana-5263	35	3	acquisition	acquisition	NOUN
cana-5263	35	4	and	and	CCONJ
cana-5263	35	5	iot	iot	NOUN
cana-5263	35	6	sensing	sense	VERB
cana-5263	35	7	high	high	ADJ
cana-5263	35	8	-	-	PUNCT
cana-5263	35	9	resolution	resolution	NOUN
cana-5263	35	10	leaf	leaf	NOUN
cana-5263	35	11	images	image	NOUN
cana-5263	35	12	are	be	AUX
cana-5263	35	13	captured	capture	VERB
cana-5263	35	14	using	use	VERB
cana-5263	35	15	field	field	NOUN
cana-5263	35	16	-	-	PUNCT
cana-5263	35	17	deployed	deploy	VERB
cana-5263	35	18	imaging	imaging	NOUN
cana-5263	35	19	devices	device	NOUN
cana-5263	35	20	,	,	PUNCT
cana-5263	35	21	while	while	SCONJ
cana-5263	35	22	environmental	environmental	ADJ
cana-5263	35	23	context	context	NOUN
cana-5263	35	24	is	be	AUX
cana-5263	35	25	gathered	gather	VERB
cana-5263	35	26	via	via	ADP
cana-5263	35	27	iot	iot	ADJ
cana-5263	35	28	sensors	sensor	NOUN
cana-5263	35	29	installed	instal	VERB
cana-5263	35	30	in	in	ADP
cana-5263	35	31	the	the	DET
cana-5263	35	32	crop	crop	NOUN
cana-5263	35	33	field	field	NOUN
cana-5263	35	34	.	.	PUNCT
cana-5263	36	1	the	the	DET
cana-5263	36	2	iot	iot	PROPN
cana-5263	36	3	sensors	sensor	NOUN
cana-5263	36	4	continuously	continuously	ADV
cana-5263	36	5	monitor	monitor	VERB
cana-5263	36	6	ambient	ambient	ADJ
cana-5263	36	7	parameters	parameter	NOUN
cana-5263	36	8	,	,	PUNCT
cana-5263	36	9	which	which	PRON
cana-5263	36	10	are	be	AUX
cana-5263	36	11	critical	critical	ADJ
cana-5263	36	12	for	for	ADP
cana-5263	36	13	disease	disease	NOUN
cana-5263	36	14	correlation	correlation	NOUN
cana-5263	36	15	analysis	analysis	NOUN
cana-5263	36	16	.	.	PUNCT
cana-5263	37	1	3.1.2	3.1.2	NUM
cana-5263	37	2	preprocessing	preprocesse	VERB
cana-5263	37	3	•	•	NUM
cana-5263	37	4	image	image	NOUN
cana-5263	37	5	data	datum	NOUN
cana-5263	37	6	undergoes	undergo	VERB
cana-5263	37	7	several	several	ADJ
cana-5263	37	8	preprocessing	preprocessing	NOUN
cana-5263	37	9	steps	step	NOUN
cana-5263	37	10	:	:	PUNCT
cana-5263	37	11	•	•	NUM
cana-5263	37	12	resizing	resize	VERB
cana-5263	37	13	all	all	DET
cana-5263	37	14	images	image	NOUN
cana-5263	37	15	to	to	ADP
cana-5263	37	16	fixed	fix	VERB
cana-5263	37	17	resolution	resolution	NOUN
cana-5263	37	18	(	(	PUNCT
cana-5263	37	19	𝐻	𝐻	NOUN
cana-5263	37	20	×𝑊	×𝑊	NOUN
cana-5263	37	21	)	)	PUNCT
cana-5263	37	22	.	.	PUNCT
cana-5263	38	1	•	•	NUM
cana-5263	38	2	normalization	normalization	NOUN
cana-5263	38	3	of	of	ADP
cana-5263	38	4	pixel	pixel	ADJ
cana-5263	38	5	values	value	NOUN
cana-5263	38	6	to	to	PART
cana-5263	38	7	standardize	standardize	VERB
cana-5263	38	8	input	input	NOUN
cana-5263	38	9	distribution	distribution	NOUN
cana-5263	38	10	.	.	PUNCT
cana-5263	39	1	•	•	NUM
cana-5263	39	2	data	datum	NOUN
cana-5263	39	3	augmentation	augmentation	NOUN
cana-5263	39	4	(	(	PUNCT
cana-5263	39	5	rotation	rotation	NOUN
cana-5263	39	6	,	,	PUNCT
cana-5263	39	7	flipping	flipping	NOUN
cana-5263	39	8	,	,	PUNCT
cana-5263	39	9	zooming	zooming	NOUN
cana-5263	39	10	,	,	PUNCT
cana-5263	39	11	etc	etc	X
cana-5263	39	12	.	.	X
cana-5263	39	13	)	)	PUNCT
cana-5263	39	14	to	to	PART
cana-5263	39	15	artificially	artificially	ADV
cana-5263	39	16	increase	increase	VERB
cana-5263	39	17	dataset	dataset	ADJ
cana-5263	39	18	diversity	diversity	NOUN
cana-5263	39	19	and	and	CCONJ
cana-5263	39	20	robustness	robustness	NOUN
cana-5263	39	21	.	.	PUNCT
cana-5263	40	1	sensor	sensor	NOUN
cana-5263	40	2	data	datum	NOUN
cana-5263	40	3	is	be	AUX
cana-5263	40	4	standardized	standardize	VERB
cana-5263	40	5	via	via	ADP
cana-5263	40	6	feature	feature	NOUN
cana-5263	40	7	scaling	scale	VERB
cana-5263	40	8	techniques	technique	NOUN
cana-5263	40	9	(	(	PUNCT
cana-5263	40	10	e.g.	e.g.	ADV
cana-5263	40	11	,	,	PUNCT
cana-5263	40	12	min	min	ADJ
cana-5263	40	13	-	-	ADJ
cana-5263	40	14	max	max	PROPN
cana-5263	40	15	normalization	normalization	NOUN
cana-5263	40	16	or	or	CCONJ
cana-5263	40	17	z	z	NOUN
cana-5263	40	18	-	-	PUNCT
cana-5263	40	19	score	score	NOUN
cana-5263	40	20	normalization	normalization	NOUN
cana-5263	40	21	)	)	PUNCT
cana-5263	40	22	to	to	PART
cana-5263	40	23	ensure	ensure	VERB
cana-5263	40	24	uniformity	uniformity	NOUN
cana-5263	40	25	across	across	ADP
cana-5263	40	26	different	different	ADJ
cana-5263	40	27	physical	physical	ADJ
cana-5263	40	28	units	unit	NOUN
cana-5263	40	29	.	.	PUNCT
cana-5263	41	1	3.1.3	3.1.3	NUM
cana-5263	41	2	deep	deep	ADJ
cana-5263	41	3	feature	feature	NOUN
cana-5263	41	4	extraction	extraction	NOUN
cana-5263	41	5	a	a	DET
cana-5263	41	6	pretrained	pretraine	VERB
cana-5263	41	7	deep	deep	ADJ
cana-5263	41	8	convolutional	convolutional	ADJ
cana-5263	41	9	neural	neural	ADJ
cana-5263	41	10	network	network	NOUN
cana-5263	41	11	(	(	PUNCT
cana-5263	41	12	cnn	cnn	PROPN
cana-5263	41	13	)	)	PUNCT
cana-5263	41	14	,	,	PUNCT
cana-5263	41	15	such	such	ADJ
cana-5263	41	16	as	as	ADP
cana-5263	41	17	resnet-18	resnet-18	PROPN
cana-5263	41	18	,	,	PUNCT
cana-5263	41	19	is	be	AUX
cana-5263	41	20	used	use	VERB
cana-5263	41	21	to	to	PART
cana-5263	41	22	extract	extract	VERB
cana-5263	41	23	semantic	semantic	ADJ
cana-5263	41	24	features	feature	NOUN
cana-5263	41	25	from	from	ADP
cana-5263	41	26	leaf	leaf	NOUN
cana-5263	41	27	images	image	NOUN
cana-5263	41	28	:	:	PUNCT
cana-5263	41	29	𝑥𝑖	𝑥𝑖	PROPN
cana-5263	41	30	=	=	SYM
cana-5263	41	31	𝑓cnn(𝐼𝑖	𝑓cnn(𝐼𝑖	PROPN
cana-5263	41	32	)	)	PUNCT
cana-5263	41	33	,	,	PUNCT
cana-5263	41	34	where	where	SCONJ
cana-5263	41	35	𝑓cnn	𝑓cnn	ADJ
cana-5263	41	36	:	:	PUNCT
cana-5263	42	1	𝑅	𝑅	PROPN
cana-5263	42	2	𝐻×𝑊×𝟛	𝐻×𝑊×𝟛	PROPN
cana-5263	42	3	→	→	SYM
cana-5263	42	4	𝑅𝑑	𝑅𝑑	PROPN
cana-5263	42	5	this	this	PRON
cana-5263	42	6	generates	generate	VERB
cana-5263	42	7	a	a	DET
cana-5263	42	8	d	d	ADJ
cana-5263	42	9	-	-	ADJ
cana-5263	42	10	dimensional	dimensional	ADJ
cana-5263	42	11	feature	feature	NOUN
cana-5263	42	12	vector	vector	NOUN
cana-5263	42	13	for	for	ADP
cana-5263	42	14	each	each	DET
cana-5263	42	15	input	input	NOUN
cana-5263	42	16	image	image	PROPN
cana-5263	42	17	ii	ii	PROPN
cana-5263	42	18	.	.	PUNCT
cana-5263	43	1	these	these	DET
cana-5263	43	2	deep	deep	ADJ
cana-5263	43	3	features	feature	NOUN
cana-5263	43	4	capture	capture	VERB
cana-5263	43	5	edges	edge	NOUN
cana-5263	43	6	,	,	PUNCT
cana-5263	43	7	textures	texture	NOUN
cana-5263	43	8	,	,	PUNCT
cana-5263	43	9	and	and	CCONJ
cana-5263	43	10	high	high	ADJ
cana-5263	43	11	-	-	PUNCT
cana-5263	43	12	level	level	NOUN
cana-5263	43	13	patterns	pattern	NOUN
cana-5263	43	14	indicative	indicative	ADJ
cana-5263	43	15	of	of	ADP
cana-5263	43	16	various	various	ADJ
cana-5263	43	17	crop	crop	NOUN
cana-5263	43	18	diseases	disease	NOUN
cana-5263	43	19	.	.	PUNCT
cana-5263	44	1	3.1.4	3.1.4	NUM
cana-5263	44	2	feature	feature	NOUN
cana-5263	44	3	selection	selection	NOUN
cana-5263	44	4	using	use	VERB
cana-5263	44	5	mrmr	mrmr	PRON
cana-5263	44	6	from	from	ADP
cana-5263	44	7	the	the	DET
cana-5263	44	8	high	high	ADV
cana-5263	44	9	-	-	PUNCT
cana-5263	44	10	dimensional	dimensional	ADJ
cana-5263	44	11	space	space	NOUN
cana-5263	44	12	of	of	ADP
cana-5263	44	13	extracted	extract	VERB
cana-5263	44	14	features	feature	NOUN
cana-5263	44	15	,	,	PUNCT
cana-5263	44	16	a	a	DET
cana-5263	44	17	subset	subset	NOUN
cana-5263	44	18	of	of	ADP
cana-5263	44	19	features	feature	NOUN
cana-5263	44	20	ℱselected	ℱselected	PROPN
cana-5263	44	21	is	be	AUX
cana-5263	44	22	chosen	choose	VERB
cana-5263	44	23	using	use	VERB
cana-5263	44	24	the	the	DET
cana-5263	44	25	minimum	minimum	ADJ
cana-5263	44	26	redundancy	redundancy	NOUN
cana-5263	44	27	maximum	maximum	NOUN
cana-5263	44	28	relevance	relevance	NOUN
cana-5263	44	29	(	(	PUNCT
cana-5263	44	30	mrmr	mrmr	PROPN
cana-5263	44	31	)	)	PUNCT
cana-5263	44	32	strategy	strategy	NOUN
cana-5263	44	33	.	.	PUNCT
cana-5263	45	1	the	the	DET
cana-5263	45	2	objective	objective	NOUN
cana-5263	45	3	is	be	AUX
cana-5263	45	4	to	to	PART
cana-5263	45	5	maximize	maximize	VERB
cana-5263	45	6	relevance	relevance	NOUN
cana-5263	45	7	to	to	ADP
cana-5263	45	8	the	the	DET
cana-5263	45	9	target	target	NOUN
cana-5263	45	10	variable	variable	ADJ
cana-5263	45	11	$	$	SYM
cana-5263	45	12	y$	y$	NOUN
cana-5263	45	13	while	while	SCONJ
cana-5263	45	14	minimizing	minimize	VERB
cana-5263	45	15	redundancy	redundancy	NOUN
cana-5263	45	16	among	among	ADP
cana-5263	45	17	selected	select	VERB
cana-5263	45	18	features	feature	NOUN
cana-5263	45	19	:	:	PUNCT
cana-5263	45	20	ℱselected	ℱselecte	VERB
cana-5263	45	21	=	=	PUNCT
cana-5263	45	22	argmax	argmax	NOUN
cana-5263	45	23	𝑆⊆ℱ	𝑆⊆ℱ	VERB
cana-5263	45	24	[	[	PUNCT
cana-5263	45	25	1	1	NUM
cana-5263	45	26	|𝑆|	|𝑆|	VERB
cana-5263	45	27	∑	∑	PUNCT
cana-5263	45	28	𝐼(𝑓𝑖	𝐼(𝑓𝑖	PROPN
cana-5263	45	29	;	;	PUNCT
cana-5263	45	30	𝑦	𝑦	X
cana-5263	45	31	)	)	PUNCT
cana-5263	45	32	𝑓𝑖∈𝑆	𝑓𝑖∈𝑆	PROPN
cana-5263	45	33	−	−	ADP
cana-5263	45	34	1	1	NUM
cana-5263	45	35	|𝑆|2	|𝑆|2	NOUN
cana-5263	45	36	∑	∑	PUNCT
cana-5263	45	37	𝐼(𝑓𝑖	𝐼(𝑓𝑖	NOUN
cana-5263	45	38	;	;	PUNCT
cana-5263	45	39	𝑓𝑗	𝑓𝑗	ADJ
cana-5263	45	40	)	)	PUNCT
cana-5263	45	41	𝑓𝑖,𝑓𝑗∈𝑆	𝑓𝑖,𝑓𝑗∈𝑆	PROPN
cana-5263	45	42	]	]	PUNCT
cana-5263	45	43	where	where	SCONJ
cana-5263	45	44	i(fi	i(fi	ADJ
cana-5263	45	45	;	;	PUNCT
cana-5263	45	46	y	y	X
cana-5263	45	47	)	)	PUNCT
cana-5263	45	48	is	be	AUX
cana-5263	45	49	the	the	DET
cana-5263	45	50	mutual	mutual	ADJ
cana-5263	45	51	information	information	NOUN
cana-5263	45	52	between	between	ADP
cana-5263	45	53	feature	feature	NOUN
cana-5263	45	54	fi	fi	NOUN
cana-5263	45	55	and	and	CCONJ
cana-5263	45	56	the	the	DET
cana-5263	45	57	label	label	NOUN
cana-5263	45	58	y.	y.	NOUN
cana-5263	45	59	3.1.5	3.1.5	NUM
cana-5263	45	60	feature	feature	NOUN
cana-5263	45	61	fusion	fusion	NOUN
cana-5263	45	62	(	(	PUNCT
cana-5263	45	63	image	image	NOUN
cana-5263	45	64	+	+	CCONJ
cana-5263	45	65	iot	iot	NOUN
cana-5263	45	66	)	)	PUNCT
cana-5263	45	67	if	if	SCONJ
cana-5263	45	68	sensor	sensor	NOUN
cana-5263	45	69	data	datum	NOUN
cana-5263	45	70	si	si	X
cana-5263	45	71	is	be	AUX
cana-5263	45	72	available	available	ADJ
cana-5263	45	73	,	,	PUNCT
cana-5263	45	74	it	it	PRON
cana-5263	45	75	is	be	AUX
cana-5263	45	76	concatenated	concatenate	VERB
cana-5263	45	77	with	with	ADP
cana-5263	45	78	the	the	DET
cana-5263	45	79	selected	select	VERB
cana-5263	45	80	deep	deep	ADJ
cana-5263	45	81	features	feature	NOUN
cana-5263	45	82	:	:	PUNCT
cana-5263	45	83	𝑧𝑖	𝑧𝑖	X
cana-5263	45	84	=	=	PUNCT
cana-5263	46	1	[	[	X
cana-5263	46	2	𝑥𝑖	𝑥𝑖	X
cana-5263	46	3	selected|𝑆𝑖	selected|𝑆𝑖	PROPN
cana-5263	46	4	]	]	PUNCT
cana-5263	46	5	,	,	PUNCT
cana-5263	46	6	𝑧𝑖	𝑧𝑖	INTJ
cana-5263	46	7	∈	∈	PROPN
cana-5263	46	8	𝑅𝑘+𝑚	𝑅𝑘+𝑚	X
cana-5263	46	9	where	where	SCONJ
cana-5263	46	10	xi	xi	PROPN
cana-5263	46	11	selected	select	VERB
cana-5263	46	12	is	be	AUX
cana-5263	46	13	the	the	DET
cana-5263	46	14	reduced	reduce	VERB
cana-5263	46	15	image	image	NOUN
cana-5263	46	16	feature	feature	NOUN
cana-5263	46	17	vector	vector	NOUN
cana-5263	46	18	,	,	PUNCT
cana-5263	46	19	and	and	CCONJ
cana-5263	46	20	$	$	SYM
cana-5263	46	21	k$	k$	VERB
cana-5263	46	22	is	be	AUX
cana-5263	46	23	the	the	DET
cana-5263	46	24	number	number	NOUN
cana-5263	46	25	of	of	ADP
cana-5263	46	26	selected	select	VERB
cana-5263	46	27	features	feature	NOUN
cana-5263	46	28	.	.	PUNCT
cana-5263	47	1	communications	communication	NOUN
cana-5263	47	2	on	on	ADP
cana-5263	47	3	applied	apply	VERB
cana-5263	47	4	nonlinear	nonlinear	ADJ
cana-5263	47	5	analysis	analysis	NOUN
cana-5263	47	6	issn	issn	NOUN
cana-5263	47	7	:	:	PUNCT
cana-5263	47	8	1074	1074	NUM
cana-5263	47	9	-	-	PUNCT
cana-5263	47	10	133x	133x	NUM
cana-5263	47	11	vol	vol	VERB
cana-5263	47	12	32	32	NUM
cana-5263	47	13	no	no	NOUN
cana-5263	47	14	.	.	PUNCT
cana-5263	48	1	10s	10	NOUN
cana-5263	48	2	(	(	PUNCT
cana-5263	48	3	2025	2025	NUM
cana-5263	48	4	)	)	PUNCT
cana-5263	48	5	1608	1608	NUM
cana-5263	48	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	48	7	3.1.6	3.1.6	NUM
cana-5263	48	8	self	self	NOUN
cana-5263	48	9	-	-	PUNCT
cana-5263	48	10	attention	attention	NOUN
cana-5263	48	11	-	-	PUNCT
cana-5263	48	12	based	base	VERB
cana-5263	48	13	classification	classification	NOUN
cana-5263	48	14	a	a	DET
cana-5263	48	15	self	self	NOUN
cana-5263	48	16	-	-	PUNCT
cana-5263	48	17	attention	attention	NOUN
cana-5263	48	18	mechanism	mechanism	NOUN
cana-5263	48	19	is	be	AUX
cana-5263	48	20	incorporated	incorporate	VERB
cana-5263	48	21	within	within	ADP
cana-5263	48	22	a	a	DET
cana-5263	48	23	deep	deep	ADJ
cana-5263	48	24	neural	neural	ADJ
cana-5263	48	25	network	network	NOUN
cana-5263	48	26	to	to	PART
cana-5263	48	27	enable	enable	VERB
cana-5263	48	28	dynamic	dynamic	ADJ
cana-5263	48	29	weighting	weighting	NOUN
cana-5263	48	30	of	of	ADP
cana-5263	48	31	features	feature	NOUN
cana-5263	48	32	:	:	PUNCT
cana-5263	48	33	attention(𝑄	attention(𝑄	PROPN
cana-5263	48	34	,	,	PUNCT
cana-5263	48	35	𝐾	𝐾	PROPN
cana-5263	48	36	,	,	PUNCT
cana-5263	48	37	𝑉	𝑉	PROPN
cana-5263	48	38	)	)	PUNCT
cana-5263	48	39	=	=	SYM
cana-5263	48	40	softmax	softmax	NOUN
cana-5263	48	41	(	(	PUNCT
cana-5263	48	42	𝑄𝐾𝑇	𝑄𝐾𝑇	PROPN
cana-5263	48	43	√𝑑𝑘	√𝑑𝑘	PROPN
cana-5263	48	44	)	)	PUNCT
cana-5263	48	45	𝑉	𝑉	PROPN
cana-5263	48	46	where	where	SCONJ
cana-5263	48	47	the	the	DET
cana-5263	48	48	query	query	NOUN
cana-5263	48	49	,	,	PUNCT
cana-5263	48	50	key	key	ADJ
cana-5263	48	51	,	,	PUNCT
cana-5263	48	52	and	and	CCONJ
cana-5263	48	53	value	value	NOUN
cana-5263	48	54	matrices	matrix	NOUN
cana-5263	48	55	q	q	NOUN
cana-5263	48	56	,	,	PUNCT
cana-5263	48	57	k	k	NOUN
cana-5263	48	58	,	,	PUNCT
cana-5263	48	59	v	v	NOUN
cana-5263	48	60	are	be	AUX
cana-5263	48	61	derived	derive	VERB
cana-5263	48	62	from	from	ADP
cana-5263	48	63	linear	linear	ADJ
cana-5263	48	64	transformations	transformation	NOUN
cana-5263	48	65	of	of	ADP
cana-5263	48	66	the	the	DET
cana-5263	48	67	fused	fuse	VERB
cana-5263	48	68	feature	feature	NOUN
cana-5263	48	69	input	input	NOUN
cana-5263	48	70	zi	zi	NOUN
cana-5263	48	71	.	.	PUNCT
cana-5263	49	1	this	this	DET
cana-5263	49	2	mechanism	mechanism	NOUN
cana-5263	49	3	allows	allow	VERB
cana-5263	49	4	the	the	DET
cana-5263	49	5	model	model	NOUN
cana-5263	49	6	to	to	PART
cana-5263	49	7	focus	focus	VERB
cana-5263	49	8	on	on	ADP
cana-5263	49	9	disease	disease	NOUN
cana-5263	49	10	-	-	PUNCT
cana-5263	49	11	specific	specific	ADJ
cana-5263	49	12	patterns	pattern	NOUN
cana-5263	49	13	.	.	PUNCT
cana-5263	50	1	the	the	DET
cana-5263	50	2	output	output	NOUN
cana-5263	50	3	of	of	ADP
cana-5263	50	4	attention	attention	NOUN
cana-5263	50	5	is	be	AUX
cana-5263	50	6	passed	pass	VERB
cana-5263	50	7	through	through	ADP
cana-5263	50	8	fully	fully	ADV
cana-5263	50	9	connected	connected	ADJ
cana-5263	50	10	layers	layer	NOUN
cana-5263	50	11	to	to	PART
cana-5263	50	12	produce	produce	VERB
cana-5263	50	13	class	class	NOUN
cana-5263	50	14	probabilities	probability	NOUN
cana-5263	50	15	:	:	PUNCT
cana-5263	50	16	𝑦	𝑦	NOUN
cana-5263	50	17	�	�	NOUN
cana-5263	50	18	̂	̂	SYM
cana-5263	50	19	�	�	NOUN
cana-5263	50	20	=	=	PUNCT
cana-5263	50	21	argmax(softmax(𝑊out	argmax(softmax(𝑊out	ADP
cana-5263	50	22	⋅	⋅	PROPN
cana-5263	50	23	attention(𝑄	attention(𝑄	PROPN
cana-5263	50	24	,	,	PUNCT
cana-5263	50	25	𝐾	𝐾	PROPN
cana-5263	50	26	,	,	PUNCT
cana-5263	50	27	𝑉	𝑉	PROPN
cana-5263	50	28	)	)	PUNCT
cana-5263	50	29	+	+	NUM
cana-5263	50	30	𝑏out	𝑏out	NOUN
cana-5263	50	31	)	)	PUNCT
cana-5263	50	32	)	)	PUNCT
cana-5263	50	33	3.2	3.2	NUM
cana-5263	50	34	algorithm	algorithm	NOUN
cana-5263	50	35	:	:	PUNCT
cana-5263	50	36	self	self	NOUN
cana-5263	50	37	-	-	PUNCT
cana-5263	50	38	attention	attention	NOUN
cana-5263	50	39	based	base	VERB
cana-5263	50	40	crop	crop	NOUN
cana-5263	50	41	disease	disease	NOUN
cana-5263	50	42	classification	classification	NOUN
cana-5263	50	43	crop	crop	NOUN
cana-5263	50	44	disease	disease	NOUN
cana-5263	50	45	detection	detection	NOUN
cana-5263	50	46	using	use	VERB
cana-5263	50	47	self	self	NOUN
cana-5263	50	48	-	-	PUNCT
cana-5263	50	49	attention	attention	NOUN
cana-5263	50	50	deep	deep	ADJ
cana-5263	50	51	neural	neural	ADJ
cana-5263	50	52	network	network	NOUN
cana-5263	50	53	input	input	NOUN
cana-5263	50	54	:	:	PUNCT
cana-5263	50	55	image	image	NOUN
cana-5263	50	56	dataset	dataset	NOUN
cana-5263	50	57	𝒟	𝒟	PROPN
cana-5263	50	58	,	,	PUNCT
cana-5263	50	59	pretrained	pretraine	VERB
cana-5263	50	60	cnn	cnn	PROPN
cana-5263	50	61	fcnn	fcnn	PROPN
cana-5263	50	62	,	,	PUNCT
cana-5263	50	63	number	number	NOUN
cana-5263	50	64	of	of	ADP
cana-5263	50	65	features	feature	NOUN
cana-5263	50	66	k	k	PROPN
cana-5263	50	67	output	output	PROPN
cana-5263	50	68	:	:	PUNCT
cana-5263	50	69	predicted	predict	VERB
cana-5263	50	70	class	class	NOUN
cana-5263	50	71	labels	label	NOUN
cana-5263	50	72	{	{	PUNCT
cana-5263	50	73	yî	yî	NOUN
cana-5263	50	74	}	}	PUNCT
cana-5263	50	75	for	for	ADP
cana-5263	50	76	each	each	DET
cana-5263	50	77	test	test	NOUN
cana-5263	50	78	image	image	NOUN
cana-5263	50	79	foreach	foreach	NOUN
cana-5263	50	80	sample	sample	NOUN
cana-5263	50	81	(	(	PUNCT
cana-5263	50	82	ii	ii	PROPN
cana-5263	50	83	,	,	PUNCT
cana-5263	50	84	si	si	NOUN
cana-5263	50	85	)	)	PUNCT
cana-5263	50	86	in	in	ADP
cana-5263	50	87	𝒟	𝒟	NOUN
cana-5263	50	88	do	do	VERB
cana-5263	50	89	preprocess	preprocess	NOUN
cana-5263	50	90	image	image	PROPN
cana-5263	50	91	ii	ii	PROPN
cana-5263	50	92	;	;	PUNCT
cana-5263	50	93	normalize	normalize	VERB
cana-5263	50	94	and	and	CCONJ
cana-5263	50	95	scale	scale	NOUN
cana-5263	50	96	sensor	sensor	NOUN
cana-5263	50	97	vector	vector	NOUN
cana-5263	50	98	si	si	NOUN
cana-5263	50	99	;	;	PUNCT
cana-5263	50	100	extract	extract	VERB
cana-5263	50	101	deep	deep	ADJ
cana-5263	50	102	features	feature	NOUN
cana-5263	50	103	:	:	PUNCT
cana-5263	50	104	xi	xi	PROPN
cana-5263	50	105	←	←	PROPN
cana-5263	50	106	fcnn(ii	fcnn(ii	PROPN
cana-5263	50	107	)	)	PUNCT
cana-5263	50	108	;	;	PUNCT
cana-5263	50	109	select	select	VERB
cana-5263	50	110	top	top	ADJ
cana-5263	50	111	-	-	PUNCT
cana-5263	50	112	k	k	NOUN
cana-5263	50	113	features	feature	VERB
cana-5263	50	114	:	:	PUNCT
cana-5263	50	115	xi	xi	NUM
cana-5263	50	116	selected	select	VERB
cana-5263	50	117	←	←	PROPN
cana-5263	50	118	mrmr(xi	mrmr(xi	PROPN
cana-5263	50	119	)	)	PUNCT
cana-5263	50	120	;	;	PUNCT
cana-5263	50	121	fuse	fuse	NOUN
cana-5263	50	122	with	with	ADP
cana-5263	50	123	sensor	sensor	NOUN
cana-5263	50	124	data	datum	NOUN
cana-5263	50	125	:	:	PUNCT
cana-5263	50	126	zi	zi	PROPN
cana-5263	50	127	←	←	PROPN
cana-5263	51	1	[	[	X
cana-5263	51	2	xi	xi	X
cana-5263	51	3	selected|si	selected|si	PROPN
cana-5263	51	4	]	]	PUNCT
cana-5263	51	5	;	;	PUNCT
cana-5263	51	6	compute	compute	NOUN
cana-5263	51	7	attention	attention	NOUN
cana-5263	51	8	matrices	matrix	NOUN
cana-5263	51	9	q	q	NOUN
cana-5263	51	10	,	,	PUNCT
cana-5263	51	11	k	k	NOUN
cana-5263	51	12	,	,	PUNCT
cana-5263	51	13	v	v	NOUN
cana-5263	51	14	;	;	PUNCT
cana-5263	51	15	calculate	calculate	VERB
cana-5263	51	16	attention	attention	NOUN
cana-5263	51	17	output	output	NOUN
cana-5263	51	18	ai	ai	PROPN
cana-5263	51	19	←	←	PROPN
cana-5263	51	20	attention(q	attention(q	PROPN
cana-5263	51	21	,	,	PUNCT
cana-5263	51	22	k	k	PROPN
cana-5263	51	23	,	,	PUNCT
cana-5263	51	24	v	v	NOUN
cana-5263	51	25	)	)	PUNCT
cana-5263	51	26	;	;	PUNCT
cana-5263	51	27	predict	predict	VERB
cana-5263	51	28	disease	disease	NOUN
cana-5263	51	29	label	label	NOUN
cana-5263	51	30	:	:	PUNCT
cana-5263	51	31	yî	yî	PROPN
cana-5263	51	32	←	←	PROPN
cana-5263	51	33	argmax	argmax	PROPN
cana-5263	51	34	(	(	PUNCT
cana-5263	51	35	softmax(ffc(ai	softmax(ffc(ai	NUM
cana-5263	51	36	)	)	PUNCT
cana-5263	51	37	)	)	PUNCT
cana-5263	51	38	)	)	PUNCT
cana-5263	51	39	;	;	PUNCT
cana-5263	51	40	return	return	VERB
cana-5263	51	41	yî	yî	NOUN
cana-5263	51	42	3.3	3.3	NUM
cana-5263	51	43	methodology	methodology	NOUN
cana-5263	51	44	flowchart	flowchart	NOUN
cana-5263	52	1	the	the	DET
cana-5263	52	2	flowchart	flowchart	PROPN
cana-5263	52	3	illustrates	illustrate	VERB
cana-5263	52	4	a	a	DET
cana-5263	52	5	process	process	NOUN
cana-5263	52	6	for	for	ADP
cana-5263	52	7	classifying	classify	VERB
cana-5263	52	8	plant	plant	NOUN
cana-5263	52	9	species	specie	NOUN
cana-5263	52	10	using	use	VERB
cana-5263	52	11	deep	deep	ADJ
cana-5263	52	12	learning	learning	NOUN
cana-5263	52	13	techniques	technique	NOUN
cana-5263	52	14	.	.	PUNCT
cana-5263	53	1	it	it	PRON
cana-5263	53	2	starts	start	VERB
cana-5263	53	3	with	with	ADP
cana-5263	53	4	a	a	DET
cana-5263	53	5	dataset	dataset	NOUN
cana-5263	53	6	of	of	ADP
cana-5263	53	7	plant	plant	NOUN
cana-5263	53	8	images	image	NOUN
cana-5263	53	9	,	,	PUNCT
cana-5263	53	10	likely	likely	ADV
cana-5263	53	11	focusing	focus	VERB
cana-5263	53	12	on	on	ADP
cana-5263	53	13	different	different	ADJ
cana-5263	53	14	plant	plant	NOUN
cana-5263	53	15	leaves	leave	NOUN
cana-5263	53	16	.	.	PUNCT
cana-5263	54	1	these	these	DET
cana-5263	54	2	images	image	NOUN
cana-5263	54	3	serve	serve	VERB
cana-5263	54	4	as	as	ADP
cana-5263	54	5	the	the	DET
cana-5263	54	6	raw	raw	ADJ
cana-5263	54	7	input	input	NOUN
cana-5263	54	8	for	for	ADP
cana-5263	54	9	the	the	DET
cana-5263	54	10	model	model	NOUN
cana-5263	54	11	,	,	PUNCT
cana-5263	54	12	where	where	SCONJ
cana-5263	54	13	the	the	DET
cana-5263	54	14	first	first	ADJ
cana-5263	54	15	step	step	NOUN
cana-5263	54	16	involves	involve	VERB
cana-5263	54	17	extracting	extract	VERB
cana-5263	54	18	relevant	relevant	ADJ
cana-5263	54	19	features	feature	NOUN
cana-5263	54	20	from	from	ADP
cana-5263	54	21	them	they	PRON
cana-5263	54	22	using	use	VERB
cana-5263	54	23	a	a	DET
cana-5263	54	24	deep	deep	ADJ
cana-5263	54	25	neural	neural	ADJ
cana-5263	54	26	network	network	NOUN
cana-5263	54	27	(	(	PUNCT
cana-5263	54	28	dnn	dnn	PROPN
cana-5263	54	29	)	)	PUNCT
cana-5263	54	30	.	.	PUNCT
cana-5263	55	1	in	in	ADP
cana-5263	55	2	this	this	DET
cana-5263	55	3	stage	stage	NOUN
cana-5263	55	4	,	,	PUNCT
cana-5263	55	5	the	the	DET
cana-5263	55	6	model	model	NOUN
cana-5263	55	7	is	be	AUX
cana-5263	55	8	trained	train	VERB
cana-5263	55	9	to	to	PART
cana-5263	55	10	recognize	recognize	VERB
cana-5263	55	11	patterns	pattern	NOUN
cana-5263	55	12	within	within	ADP
cana-5263	55	13	the	the	DET
cana-5263	55	14	images	image	NOUN
cana-5263	55	15	,	,	PUNCT
cana-5263	55	16	converting	convert	VERB
cana-5263	55	17	the	the	DET
cana-5263	55	18	raw	raw	ADJ
cana-5263	55	19	pixel	pixel	NOUN
cana-5263	55	20	data	datum	NOUN
cana-5263	55	21	into	into	ADP
cana-5263	55	22	more	more	ADJ
cana-5263	55	23	abstract	abstract	ADJ
cana-5263	55	24	representations	representation	NOUN
cana-5263	55	25	that	that	PRON
cana-5263	55	26	capture	capture	VERB
cana-5263	55	27	the	the	DET
cana-5263	55	28	important	important	ADJ
cana-5263	55	29	features	feature	NOUN
cana-5263	55	30	necessary	necessary	ADJ
cana-5263	55	31	for	for	ADP
cana-5263	55	32	distinguishing	distinguish	VERB
cana-5263	55	33	between	between	ADP
cana-5263	55	34	plant	plant	NOUN
cana-5263	55	35	species	specie	NOUN
cana-5263	55	36	.	.	PUNCT
cana-5263	56	1	communications	communication	NOUN
cana-5263	56	2	on	on	ADP
cana-5263	56	3	applied	apply	VERB
cana-5263	56	4	nonlinear	nonlinear	ADJ
cana-5263	56	5	analysis	analysis	NOUN
cana-5263	56	6	issn	issn	NOUN
cana-5263	56	7	:	:	PUNCT
cana-5263	56	8	1074	1074	NUM
cana-5263	56	9	-	-	PUNCT
cana-5263	56	10	133x	133x	NUM
cana-5263	56	11	vol	vol	VERB
cana-5263	56	12	32	32	NUM
cana-5263	56	13	no	no	NOUN
cana-5263	56	14	.	.	PUNCT
cana-5263	57	1	10s	10	NOUN
cana-5263	57	2	(	(	PUNCT
cana-5263	57	3	2025	2025	NUM
cana-5263	57	4	)	)	PUNCT
cana-5263	57	5	1609	1609	NUM
cana-5263	57	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	57	7	following	follow	VERB
cana-5263	57	8	feature	feature	NOUN
cana-5263	57	9	extraction	extraction	NOUN
cana-5263	57	10	,	,	PUNCT
cana-5263	57	11	the	the	DET
cana-5263	57	12	next	next	ADJ
cana-5263	57	13	step	step	NOUN
cana-5263	57	14	is	be	AUX
cana-5263	57	15	feature	feature	NOUN
cana-5263	57	16	selection	selection	NOUN
cana-5263	57	17	.	.	PUNCT
cana-5263	58	1	this	this	PRON
cana-5263	58	2	is	be	AUX
cana-5263	58	3	a	a	DET
cana-5263	58	4	crucial	crucial	ADJ
cana-5263	58	5	process	process	NOUN
cana-5263	58	6	where	where	SCONJ
cana-5263	58	7	the	the	DET
cana-5263	58	8	most	most	ADV
cana-5263	58	9	relevant	relevant	ADJ
cana-5263	58	10	and	and	CCONJ
cana-5263	58	11	significant	significant	ADJ
cana-5263	58	12	features	feature	NOUN
cana-5263	58	13	are	be	AUX
cana-5263	58	14	chosen	choose	VERB
cana-5263	58	15	while	while	SCONJ
cana-5263	58	16	discarding	discard	VERB
cana-5263	58	17	those	those	PRON
cana-5263	58	18	that	that	PRON
cana-5263	58	19	are	be	AUX
cana-5263	58	20	less	less	ADV
cana-5263	58	21	important	important	ADJ
cana-5263	58	22	or	or	CCONJ
cana-5263	58	23	redundant	redundant	ADJ
cana-5263	58	24	.	.	PUNCT
cana-5263	59	1	this	this	DET
cana-5263	59	2	step	step	NOUN
cana-5263	59	3	helps	help	VERB
cana-5263	59	4	improve	improve	VERB
cana-5263	59	5	the	the	DET
cana-5263	59	6	model	model	NOUN
cana-5263	59	7	's	's	PART
cana-5263	59	8	efficiency	efficiency	NOUN
cana-5263	59	9	by	by	ADP
cana-5263	59	10	reducing	reduce	VERB
cana-5263	59	11	the	the	DET
cana-5263	59	12	dimensionality	dimensionality	NOUN
cana-5263	59	13	of	of	ADP
cana-5263	59	14	the	the	DET
cana-5263	59	15	data	datum	NOUN
cana-5263	59	16	,	,	PUNCT
cana-5263	59	17	ensuring	ensure	VERB
cana-5263	59	18	that	that	SCONJ
cana-5263	59	19	the	the	DET
cana-5263	59	20	neural	neural	ADJ
cana-5263	59	21	network	network	NOUN
cana-5263	59	22	works	work	VERB
cana-5263	59	23	with	with	ADP
cana-5263	59	24	only	only	ADV
cana-5263	59	25	the	the	DET
cana-5263	59	26	most	most	ADV
cana-5263	59	27	informative	informative	ADJ
cana-5263	59	28	features	feature	NOUN
cana-5263	59	29	.	.	PUNCT
cana-5263	60	1	it	it	PRON
cana-5263	60	2	also	also	ADV
cana-5263	60	3	contributes	contribute	VERB
cana-5263	60	4	to	to	ADP
cana-5263	60	5	the	the	DET
cana-5263	60	6	overall	overall	ADJ
cana-5263	60	7	accuracy	accuracy	NOUN
cana-5263	60	8	of	of	ADP
cana-5263	60	9	the	the	DET
cana-5263	60	10	classification	classification	NOUN
cana-5263	60	11	by	by	ADP
cana-5263	60	12	minimizing	minimize	VERB
cana-5263	60	13	noise	noise	NOUN
cana-5263	60	14	from	from	ADP
cana-5263	60	15	irrelevant	irrelevant	ADJ
cana-5263	60	16	data	datum	NOUN
cana-5263	60	17	.	.	PUNCT
cana-5263	61	1	figure	figure	NOUN
cana-5263	61	2	1	1	NUM
cana-5263	61	3	methodology	methodology	NOUN
cana-5263	61	4	flowchart	flowchart	NOUN
cana-5263	61	5	after	after	ADP
cana-5263	61	6	feature	feature	NOUN
cana-5263	61	7	selection	selection	NOUN
cana-5263	61	8	,	,	PUNCT
cana-5263	61	9	the	the	DET
cana-5263	61	10	model	model	NOUN
cana-5263	61	11	incorporates	incorporate	VERB
cana-5263	61	12	a	a	DET
cana-5263	61	13	self	self	NOUN
cana-5263	61	14	-	-	PUNCT
cana-5263	61	15	attention	attention	NOUN
cana-5263	61	16	mechanism	mechanism	NOUN
cana-5263	61	17	in	in	ADP
cana-5263	61	18	its	its	PRON
cana-5263	61	19	deep	deep	ADJ
cana-5263	61	20	neural	neural	ADJ
cana-5263	61	21	network	network	NOUN
cana-5263	61	22	.	.	PUNCT
cana-5263	62	1	self	self	NOUN
cana-5263	62	2	-	-	PUNCT
cana-5263	62	3	attention	attention	NOUN
cana-5263	62	4	enables	enable	VERB
cana-5263	62	5	the	the	DET
cana-5263	62	6	model	model	NOUN
cana-5263	62	7	to	to	PART
cana-5263	62	8	focus	focus	VERB
cana-5263	62	9	more	more	ADV
cana-5263	62	10	on	on	ADP
cana-5263	62	11	important	important	ADJ
cana-5263	62	12	aspects	aspect	NOUN
cana-5263	62	13	of	of	ADP
cana-5263	62	14	the	the	DET
cana-5263	62	15	extracted	extract	VERB
cana-5263	62	16	features	feature	NOUN
cana-5263	62	17	that	that	PRON
cana-5263	62	18	are	be	AUX
cana-5263	62	19	crucial	crucial	ADJ
cana-5263	62	20	for	for	ADP
cana-5263	62	21	classification	classification	NOUN
cana-5263	62	22	,	,	PUNCT
cana-5263	62	23	allowing	allow	VERB
cana-5263	62	24	the	the	DET
cana-5263	62	25	model	model	NOUN
cana-5263	62	26	to	to	PART
cana-5263	62	27	weigh	weigh	VERB
cana-5263	62	28	different	different	ADJ
cana-5263	62	29	features	feature	NOUN
cana-5263	62	30	differently	differently	ADV
cana-5263	62	31	based	base	VERB
cana-5263	62	32	on	on	ADP
cana-5263	62	33	their	their	PRON
cana-5263	62	34	relevance	relevance	NOUN
cana-5263	62	35	.	.	PUNCT
cana-5263	63	1	this	this	DET
cana-5263	63	2	step	step	NOUN
cana-5263	63	3	improves	improve	VERB
cana-5263	63	4	the	the	DET
cana-5263	63	5	model	model	NOUN
cana-5263	63	6	's	's	PART
cana-5263	63	7	ability	ability	NOUN
cana-5263	63	8	to	to	PART
cana-5263	63	9	understand	understand	VERB
cana-5263	63	10	complex	complex	ADJ
cana-5263	63	11	relationships	relationship	NOUN
cana-5263	63	12	between	between	ADP
cana-5263	63	13	features	feature	NOUN
cana-5263	63	14	,	,	PUNCT
cana-5263	63	15	which	which	PRON
cana-5263	63	16	enhances	enhance	VERB
cana-5263	63	17	its	its	PRON
cana-5263	63	18	performance	performance	NOUN
cana-5263	63	19	in	in	ADP
cana-5263	63	20	classifying	classify	VERB
cana-5263	63	21	the	the	DET
cana-5263	63	22	plant	plant	NOUN
cana-5263	63	23	species	specie	NOUN
cana-5263	63	24	more	more	ADV
cana-5263	63	25	accurately	accurately	ADV
cana-5263	63	26	.	.	PUNCT
cana-5263	64	1	finally	finally	ADV
cana-5263	64	2	,	,	PUNCT
cana-5263	64	3	the	the	DET
cana-5263	64	4	processed	process	VERB
cana-5263	64	5	data	data	NOUN
cana-5263	64	6	passes	pass	VERB
cana-5263	64	7	through	through	ADP
cana-5263	64	8	the	the	DET
cana-5263	64	9	model	model	NOUN
cana-5263	64	10	to	to	PART
cana-5263	64	11	produce	produce	VERB
cana-5263	64	12	the	the	DET
cana-5263	64	13	final	final	ADJ
cana-5263	64	14	prediction	prediction	NOUN
cana-5263	64	15	,	,	PUNCT
cana-5263	64	16	which	which	PRON
cana-5263	64	17	is	be	AUX
cana-5263	64	18	the	the	DET
cana-5263	64	19	classification	classification	NOUN
cana-5263	64	20	of	of	ADP
cana-5263	64	21	the	the	DET
cana-5263	64	22	plant	plant	NOUN
cana-5263	64	23	species	specie	NOUN
cana-5263	64	24	based	base	VERB
cana-5263	64	25	on	on	ADP
cana-5263	64	26	the	the	DET
cana-5263	64	27	learned	learn	VERB
cana-5263	64	28	features	feature	NOUN
cana-5263	64	29	and	and	CCONJ
cana-5263	64	30	the	the	DET
cana-5263	64	31	self	self	NOUN
cana-5263	64	32	-	-	PUNCT
cana-5263	64	33	attention	attention	NOUN
cana-5263	64	34	mechanism	mechanism	NOUN
cana-5263	64	35	.	.	PUNCT
cana-5263	65	1	the	the	DET
cana-5263	65	2	flowchart	flowchart	NOUN
cana-5263	65	3	encapsulates	encapsulate	VERB
cana-5263	65	4	a	a	DET
cana-5263	65	5	sophisticated	sophisticated	ADJ
cana-5263	65	6	process	process	NOUN
cana-5263	65	7	that	that	PRON
cana-5263	65	8	combines	combine	VERB
cana-5263	65	9	deep	deep	ADJ
cana-5263	65	10	learning	learning	NOUN
cana-5263	65	11	,	,	PUNCT
cana-5263	65	12	feature	feature	NOUN
cana-5263	65	13	selection	selection	NOUN
cana-5263	65	14	,	,	PUNCT
cana-5263	65	15	and	and	CCONJ
cana-5263	65	16	attention	attention	NOUN
cana-5263	65	17	mechanisms	mechanism	NOUN
cana-5263	65	18	to	to	PART
cana-5263	65	19	accurately	accurately	ADV
cana-5263	65	20	classify	classify	VERB
cana-5263	65	21	plant	plant	NOUN
cana-5263	65	22	images	image	NOUN
cana-5263	65	23	,	,	PUNCT
cana-5263	65	24	providing	provide	VERB
cana-5263	65	25	a	a	DET
cana-5263	65	26	highly	highly	ADV
cana-5263	65	27	efficient	efficient	ADJ
cana-5263	65	28	and	and	CCONJ
cana-5263	65	29	effective	effective	ADJ
cana-5263	65	30	classification	classification	NOUN
cana-5263	65	31	pipeline	pipeline	NOUN
cana-5263	65	32	.	.	PUNCT
cana-5263	66	1	4	4	NUM
cana-5263	66	2	result	result	NOUN
cana-5263	66	3	and	and	CCONJ
cana-5263	66	4	discussion	discussion	NOUN
cana-5263	66	5	4.1	4.1	NUM
cana-5263	66	6	results	result	NOUN
cana-5263	66	7	the	the	DET
cana-5263	66	8	proposed	propose	VERB
cana-5263	66	9	methodology	methodology	NOUN
cana-5263	66	10	for	for	ADP
cana-5263	66	11	crop	crop	NOUN
cana-5263	66	12	disease	disease	NOUN
cana-5263	66	13	detection	detection	NOUN
cana-5263	66	14	using	use	VERB
cana-5263	66	15	iot	iot	ADJ
cana-5263	66	16	sensors	sensor	NOUN
cana-5263	66	17	and	and	CCONJ
cana-5263	66	18	image	image	NOUN
cana-5263	66	19	processing	processing	NOUN
cana-5263	66	20	integrated	integrate	VERB
cana-5263	66	21	with	with	ADP
cana-5263	66	22	deep	deep	ADJ
cana-5263	66	23	learning	learning	NOUN
cana-5263	66	24	techniques	technique	NOUN
cana-5263	66	25	has	have	AUX
cana-5263	66	26	shown	show	VERB
cana-5263	66	27	promising	promising	ADJ
cana-5263	66	28	results	result	NOUN
cana-5263	66	29	.	.	PUNCT
cana-5263	67	1	the	the	DET
cana-5263	67	2	dataset	dataset	NOUN
cana-5263	67	3	used	use	VERB
cana-5263	67	4	for	for	ADP
cana-5263	67	5	this	this	DET
cana-5263	67	6	study	study	NOUN
cana-5263	67	7	included	include	VERB
cana-5263	67	8	high	high	ADJ
cana-5263	67	9	-	-	PUNCT
cana-5263	67	10	resolution	resolution	NOUN
cana-5263	67	11	crop	crop	NOUN
cana-5263	67	12	leaf	leaf	NOUN
cana-5263	67	13	images	image	NOUN
cana-5263	67	14	,	,	PUNCT
cana-5263	67	15	paired	pair	VERB
cana-5263	67	16	with	with	ADP
cana-5263	67	17	iot	iot	ADJ
cana-5263	67	18	sensor	sensor	NOUN
cana-5263	67	19	data	datum	NOUN
cana-5263	67	20	that	that	PRON
cana-5263	67	21	provides	provide	VERB
cana-5263	67	22	critical	critical	ADJ
cana-5263	67	23	environmental	environmental	ADJ
cana-5263	67	24	context	context	NOUN
cana-5263	67	25	such	such	ADJ
cana-5263	67	26	as	as	ADP
cana-5263	67	27	humidity	humidity	NOUN
cana-5263	67	28	,	,	PUNCT
cana-5263	67	29	temperature	temperature	NOUN
cana-5263	67	30	,	,	PUNCT
cana-5263	67	31	soil	soil	NOUN
cana-5263	67	32	ph	ph	VERB
cana-5263	67	33	,	,	PUNCT
cana-5263	67	34	and	and	CCONJ
cana-5263	67	35	light	light	ADJ
cana-5263	67	36	intensity	intensity	NOUN
cana-5263	67	37	.	.	PUNCT
cana-5263	68	1	these	these	DET
cana-5263	68	2	images	image	NOUN
cana-5263	68	3	and	and	CCONJ
cana-5263	68	4	communications	communication	NOUN
cana-5263	68	5	on	on	ADP
cana-5263	68	6	applied	apply	VERB
cana-5263	68	7	nonlinear	nonlinear	ADJ
cana-5263	68	8	analysis	analysis	NOUN
cana-5263	68	9	issn	issn	NOUN
cana-5263	68	10	:	:	PUNCT
cana-5263	68	11	1074	1074	NUM
cana-5263	68	12	-	-	PUNCT
cana-5263	68	13	133x	133x	NUM
cana-5263	68	14	vol	vol	VERB
cana-5263	68	15	32	32	NUM
cana-5263	68	16	no	no	NOUN
cana-5263	68	17	.	.	PUNCT
cana-5263	69	1	10s	10	NOUN
cana-5263	69	2	(	(	PUNCT
cana-5263	69	3	2025	2025	NUM
cana-5263	69	4	)	)	PUNCT
cana-5263	69	5	1610	1610	NUM
cana-5263	69	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	69	7	sensor	sensor	NOUN
cana-5263	69	8	data	datum	NOUN
cana-5263	69	9	were	be	AUX
cana-5263	69	10	processed	process	VERB
cana-5263	69	11	using	use	VERB
cana-5263	69	12	a	a	DET
cana-5263	69	13	deep	deep	ADJ
cana-5263	69	14	convolutional	convolutional	ADJ
cana-5263	69	15	neural	neural	ADJ
cana-5263	69	16	network	network	NOUN
cana-5263	69	17	(	(	PUNCT
cana-5263	69	18	cnn	cnn	PROPN
cana-5263	69	19	)	)	PUNCT
cana-5263	69	20	,	,	PUNCT
cana-5263	69	21	specifically	specifically	ADV
cana-5263	69	22	resnet-18	resnet-18	PROPN
cana-5263	69	23	,	,	PUNCT
cana-5263	69	24	to	to	PART
cana-5263	69	25	extract	extract	VERB
cana-5263	69	26	meaningful	meaningful	ADJ
cana-5263	69	27	features	feature	NOUN
cana-5263	69	28	indicative	indicative	ADJ
cana-5263	69	29	of	of	ADP
cana-5263	69	30	crop	crop	NOUN
cana-5263	69	31	diseases	disease	NOUN
cana-5263	69	32	.	.	PUNCT
cana-5263	70	1	after	after	ADP
cana-5263	70	2	preprocessing	preprocesse	VERB
cana-5263	70	3	the	the	DET
cana-5263	70	4	image	image	NOUN
cana-5263	70	5	data	datum	NOUN
cana-5263	70	6	,	,	PUNCT
cana-5263	70	7	including	include	VERB
cana-5263	70	8	resizing	resizing	NOUN
cana-5263	70	9	,	,	PUNCT
cana-5263	70	10	normalization	normalization	NOUN
cana-5263	70	11	,	,	PUNCT
cana-5263	70	12	and	and	CCONJ
cana-5263	70	13	data	datum	NOUN
cana-5263	70	14	augmentation	augmentation	NOUN
cana-5263	70	15	,	,	PUNCT
cana-5263	70	16	the	the	DET
cana-5263	70	17	features	feature	NOUN
cana-5263	70	18	were	be	AUX
cana-5263	70	19	extracted	extract	VERB
cana-5263	70	20	,	,	PUNCT
cana-5263	70	21	and	and	CCONJ
cana-5263	70	22	a	a	DET
cana-5263	70	23	subset	subset	NOUN
cana-5263	70	24	of	of	ADP
cana-5263	70	25	relevant	relevant	ADJ
cana-5263	70	26	features	feature	NOUN
cana-5263	70	27	was	be	AUX
cana-5263	70	28	selected	select	VERB
cana-5263	70	29	using	use	VERB
cana-5263	70	30	the	the	DET
cana-5263	70	31	minimum	minimum	ADJ
cana-5263	70	32	redundancy	redundancy	NOUN
cana-5263	70	33	maximum	maximum	NOUN
cana-5263	70	34	relevance	relevance	NOUN
cana-5263	70	35	(	(	PUNCT
cana-5263	70	36	mrmr	mrmr	PROPN
cana-5263	70	37	)	)	PUNCT
cana-5263	70	38	strategy	strategy	NOUN
cana-5263	70	39	.	.	PUNCT
cana-5263	71	1	this	this	DET
cana-5263	71	2	feature	feature	NOUN
cana-5263	71	3	selection	selection	NOUN
cana-5263	71	4	method	method	NOUN
cana-5263	71	5	ensured	ensure	VERB
cana-5263	71	6	that	that	SCONJ
cana-5263	71	7	the	the	DET
cana-5263	71	8	most	most	ADV
cana-5263	71	9	important	important	ADJ
cana-5263	71	10	features	feature	NOUN
cana-5263	71	11	for	for	ADP
cana-5263	71	12	predicting	predict	VERB
cana-5263	71	13	crop	crop	NOUN
cana-5263	71	14	diseases	disease	NOUN
cana-5263	71	15	were	be	AUX
cana-5263	71	16	retained	retain	VERB
cana-5263	71	17	while	while	SCONJ
cana-5263	71	18	minimizing	minimize	VERB
cana-5263	71	19	redundancy	redundancy	NOUN
cana-5263	71	20	.	.	PUNCT
cana-5263	72	1	figure	figure	NOUN
cana-5263	72	2	2	2	NUM
cana-5263	72	3	confusion	confusion	NOUN
cana-5263	72	4	matrix	matrix	NOUN
cana-5263	72	5	the	the	DET
cana-5263	72	6	model	model	NOUN
cana-5263	72	7	incorporated	incorporate	VERB
cana-5263	72	8	a	a	DET
cana-5263	72	9	self	self	NOUN
cana-5263	72	10	-	-	PUNCT
cana-5263	72	11	attention	attention	NOUN
cana-5263	72	12	mechanism	mechanism	NOUN
cana-5263	72	13	to	to	PART
cana-5263	72	14	dynamically	dynamically	ADV
cana-5263	72	15	focus	focus	VERB
cana-5263	72	16	on	on	ADP
cana-5263	72	17	important	important	ADJ
cana-5263	72	18	features	feature	NOUN
cana-5263	72	19	during	during	ADP
cana-5263	72	20	the	the	DET
cana-5263	72	21	classification	classification	NOUN
cana-5263	72	22	process	process	NOUN
cana-5263	72	23	.	.	PUNCT
cana-5263	73	1	this	this	DET
cana-5263	73	2	mechanism	mechanism	NOUN
cana-5263	73	3	allowed	allow	VERB
cana-5263	73	4	the	the	DET
cana-5263	73	5	network	network	NOUN
cana-5263	73	6	to	to	PART
cana-5263	73	7	weigh	weigh	VERB
cana-5263	73	8	the	the	DET
cana-5263	73	9	extracted	extract	VERB
cana-5263	73	10	features	feature	NOUN
cana-5263	73	11	based	base	VERB
cana-5263	73	12	on	on	ADP
cana-5263	73	13	their	their	PRON
cana-5263	73	14	relevance	relevance	NOUN
cana-5263	73	15	,	,	PUNCT
cana-5263	73	16	significantly	significantly	ADV
cana-5263	73	17	improving	improve	VERB
cana-5263	73	18	the	the	DET
cana-5263	73	19	model	model	NOUN
cana-5263	73	20	's	's	PART
cana-5263	73	21	accuracy	accuracy	NOUN
cana-5263	73	22	in	in	ADP
cana-5263	73	23	identifying	identify	VERB
cana-5263	73	24	disease	disease	NOUN
cana-5263	73	25	patterns	pattern	NOUN
cana-5263	73	26	specific	specific	ADJ
cana-5263	73	27	to	to	ADP
cana-5263	73	28	different	different	ADJ
cana-5263	73	29	crop	crop	NOUN
cana-5263	73	30	diseases	disease	NOUN
cana-5263	73	31	.	.	PUNCT
cana-5263	74	1	the	the	DET
cana-5263	74	2	confusion	confusion	NOUN
cana-5263	74	3	matrix	matrix	NOUN
cana-5263	74	4	presented	present	VERB
cana-5263	74	5	in	in	ADP
cana-5263	74	6	the	the	DET
cana-5263	74	7	results	result	NOUN
cana-5263	74	8	demonstrates	demonstrate	VERB
cana-5263	74	9	the	the	DET
cana-5263	74	10	efficacy	efficacy	NOUN
cana-5263	74	11	of	of	ADP
cana-5263	74	12	the	the	DET
cana-5263	74	13	classification	classification	NOUN
cana-5263	74	14	process	process	NOUN
cana-5263	74	15	.	.	PUNCT
cana-5263	75	1	the	the	DET
cana-5263	75	2	model	model	NOUN
cana-5263	75	3	achieved	achieve	VERB
cana-5263	75	4	an	an	DET
cana-5263	75	5	impressive	impressive	ADJ
cana-5263	75	6	accuracy	accuracy	NOUN
cana-5263	75	7	of	of	ADP
cana-5263	75	8	99.34	99.34	NUM
cana-5263	75	9	%	%	NOUN
cana-5263	75	10	,	,	PUNCT
cana-5263	75	11	which	which	PRON
cana-5263	75	12	indicates	indicate	VERB
cana-5263	75	13	the	the	DET
cana-5263	75	14	robustness	robustness	NOUN
cana-5263	75	15	and	and	CCONJ
cana-5263	75	16	reliability	reliability	NOUN
cana-5263	75	17	of	of	ADP
cana-5263	75	18	the	the	DET
cana-5263	75	19	deep	deep	ADJ
cana-5263	75	20	learning	learning	NOUN
cana-5263	75	21	-	-	PUNCT
cana-5263	75	22	based	base	VERB
cana-5263	75	23	approach	approach	NOUN
cana-5263	75	24	for	for	ADP
cana-5263	75	25	crop	crop	NOUN
cana-5263	75	26	disease	disease	NOUN
cana-5263	75	27	classification	classification	NOUN
cana-5263	75	28	.	.	PUNCT
cana-5263	76	1	the	the	DET
cana-5263	76	2	matrix	matrix	NOUN
cana-5263	76	3	shows	show	VERB
cana-5263	76	4	that	that	SCONJ
cana-5263	76	5	the	the	DET
cana-5263	76	6	model	model	NOUN
cana-5263	76	7	correctly	correctly	ADV
cana-5263	76	8	predicted	predict	VERB
cana-5263	76	9	the	the	DET
cana-5263	76	10	majority	majority	NOUN
cana-5263	76	11	of	of	ADP
cana-5263	76	12	the	the	DET
cana-5263	76	13	labels	label	NOUN
cana-5263	76	14	with	with	ADP
cana-5263	76	15	few	few	ADJ
cana-5263	76	16	misclassifications	misclassification	NOUN
cana-5263	76	17	,	,	PUNCT
cana-5263	76	18	as	as	ADP
cana-5263	76	19	evident	evident	ADJ
cana-5263	76	20	from	from	ADP
cana-5263	76	21	the	the	DET
cana-5263	76	22	nearperfect	nearperfect	NOUN
cana-5263	76	23	diagonal	diagonal	ADJ
cana-5263	76	24	line	line	NOUN
cana-5263	76	25	in	in	ADP
cana-5263	76	26	the	the	DET
cana-5263	76	27	confusion	confusion	NOUN
cana-5263	76	28	matrix	matrix	NOUN
cana-5263	76	29	,	,	PUNCT
cana-5263	76	30	signifying	signify	VERB
cana-5263	76	31	correct	correct	ADJ
cana-5263	76	32	predictions	prediction	NOUN
cana-5263	76	33	across	across	ADP
cana-5263	76	34	most	most	ADJ
cana-5263	76	35	of	of	ADP
cana-5263	76	36	the	the	DET
cana-5263	76	37	disease	disease	NOUN
cana-5263	76	38	classes	class	NOUN
cana-5263	76	39	.	.	PUNCT
cana-5263	77	1	4.2	4.2	NUM
cana-5263	77	2	discussion	discussion	NOUN
cana-5263	77	3	the	the	DET
cana-5263	77	4	high	high	ADJ
cana-5263	77	5	classification	classification	NOUN
cana-5263	77	6	accuracy	accuracy	NOUN
cana-5263	77	7	achieved	achieve	VERB
cana-5263	77	8	by	by	ADP
cana-5263	77	9	the	the	DET
cana-5263	77	10	proposed	propose	VERB
cana-5263	77	11	method	method	NOUN
cana-5263	77	12	can	can	AUX
cana-5263	77	13	be	be	AUX
cana-5263	77	14	attributed	attribute	VERB
cana-5263	77	15	to	to	ADP
cana-5263	77	16	several	several	ADJ
cana-5263	77	17	key	key	ADJ
cana-5263	77	18	factors	factor	NOUN
cana-5263	77	19	.	.	PUNCT
cana-5263	78	1	first	first	ADV
cana-5263	78	2	,	,	PUNCT
cana-5263	78	3	the	the	DET
cana-5263	78	4	integration	integration	NOUN
cana-5263	78	5	of	of	ADP
cana-5263	78	6	iot	iot	PROPN
cana-5263	78	7	sensor	sensor	NOUN
cana-5263	78	8	data	datum	NOUN
cana-5263	78	9	with	with	ADP
cana-5263	78	10	image	image	NOUN
cana-5263	78	11	-	-	PUNCT
cana-5263	78	12	based	base	VERB
cana-5263	78	13	deep	deep	ADJ
cana-5263	78	14	learning	learning	NOUN
cana-5263	78	15	allows	allow	VERB
cana-5263	78	16	the	the	DET
cana-5263	78	17	model	model	NOUN
cana-5263	78	18	to	to	PART
cana-5263	78	19	consider	consider	VERB
cana-5263	78	20	both	both	DET
cana-5263	78	21	visual	visual	ADJ
cana-5263	78	22	cues	cue	NOUN
cana-5263	78	23	from	from	ADP
cana-5263	78	24	the	the	DET
cana-5263	78	25	crop	crop	NOUN
cana-5263	78	26	leaves	leave	NOUN
cana-5263	78	27	and	and	CCONJ
cana-5263	78	28	the	the	DET
cana-5263	78	29	environmental	environmental	ADJ
cana-5263	78	30	conditions	condition	NOUN
cana-5263	78	31	that	that	PRON
cana-5263	78	32	might	might	AUX
cana-5263	78	33	influence	influence	VERB
cana-5263	78	34	disease	disease	NOUN
cana-5263	78	35	development	development	NOUN
cana-5263	78	36	.	.	PUNCT
cana-5263	79	1	this	this	DET
cana-5263	79	2	fusion	fusion	NOUN
cana-5263	79	3	of	of	ADP
cana-5263	79	4	image	image	NOUN
cana-5263	79	5	and	and	CCONJ
cana-5263	79	6	sensor	sensor	NOUN
cana-5263	79	7	data	datum	NOUN
cana-5263	79	8	ensures	ensure	VERB
cana-5263	79	9	that	that	SCONJ
cana-5263	79	10	the	the	DET
cana-5263	79	11	model	model	NOUN
cana-5263	79	12	has	have	VERB
cana-5263	79	13	a	a	DET
cana-5263	79	14	more	more	ADV
cana-5263	79	15	holistic	holistic	ADJ
cana-5263	79	16	communications	communication	NOUN
cana-5263	79	17	on	on	ADP
cana-5263	79	18	applied	apply	VERB
cana-5263	79	19	nonlinear	nonlinear	ADJ
cana-5263	79	20	analysis	analysis	NOUN
cana-5263	79	21	issn	issn	NOUN
cana-5263	79	22	:	:	PUNCT
cana-5263	79	23	1074	1074	NUM
cana-5263	79	24	-	-	PUNCT
cana-5263	79	25	133x	133x	NUM
cana-5263	79	26	vol	vol	VERB
cana-5263	79	27	32	32	NUM
cana-5263	79	28	no	no	NOUN
cana-5263	79	29	.	.	PUNCT
cana-5263	80	1	10s	10	NOUN
cana-5263	80	2	(	(	PUNCT
cana-5263	80	3	2025	2025	NUM
cana-5263	80	4	)	)	PUNCT
cana-5263	80	5	1611	1611	NUM
cana-5263	80	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	80	7	understanding	understanding	NOUN
cana-5263	80	8	of	of	ADP
cana-5263	80	9	the	the	DET
cana-5263	80	10	crop	crop	NOUN
cana-5263	80	11	's	's	PART
cana-5263	80	12	condition	condition	NOUN
cana-5263	80	13	.	.	PUNCT
cana-5263	81	1	the	the	DET
cana-5263	81	2	use	use	NOUN
cana-5263	81	3	of	of	ADP
cana-5263	81	4	deep	deep	ADJ
cana-5263	81	5	learning	learning	NOUN
cana-5263	81	6	,	,	PUNCT
cana-5263	81	7	specifically	specifically	ADV
cana-5263	81	8	the	the	DET
cana-5263	81	9	cnn	cnn	PROPN
cana-5263	81	10	,	,	PUNCT
cana-5263	81	11	allows	allow	VERB
cana-5263	81	12	the	the	DET
cana-5263	81	13	model	model	NOUN
cana-5263	81	14	to	to	PART
cana-5263	81	15	automatically	automatically	ADV
cana-5263	81	16	learn	learn	VERB
cana-5263	81	17	hierarchical	hierarchical	ADJ
cana-5263	81	18	features	feature	NOUN
cana-5263	81	19	from	from	ADP
cana-5263	81	20	the	the	DET
cana-5263	81	21	images	image	NOUN
cana-5263	81	22	,	,	PUNCT
cana-5263	81	23	reducing	reduce	VERB
cana-5263	81	24	the	the	DET
cana-5263	81	25	need	need	NOUN
cana-5263	81	26	for	for	ADP
cana-5263	81	27	manual	manual	ADJ
cana-5263	81	28	feature	feature	NOUN
cana-5263	81	29	engineering	engineering	NOUN
cana-5263	81	30	.	.	PUNCT
cana-5263	82	1	resnet-18	resnet-18	PROPN
cana-5263	82	2	,	,	PUNCT
cana-5263	82	3	as	as	ADP
cana-5263	82	4	a	a	DET
cana-5263	82	5	pretrained	pretraine	VERB
cana-5263	82	6	model	model	NOUN
cana-5263	82	7	,	,	PUNCT
cana-5263	82	8	further	far	ADV
cana-5263	82	9	enhanced	enhance	VERB
cana-5263	82	10	feature	feature	NOUN
cana-5263	82	11	extraction	extraction	NOUN
cana-5263	82	12	by	by	ADP
cana-5263	82	13	leveraging	leverage	VERB
cana-5263	82	14	its	its	PRON
cana-5263	82	15	ability	ability	NOUN
cana-5263	82	16	to	to	PART
cana-5263	82	17	capture	capture	VERB
cana-5263	82	18	high	high	ADJ
cana-5263	82	19	-	-	PUNCT
cana-5263	82	20	level	level	NOUN
cana-5263	82	21	patterns	pattern	NOUN
cana-5263	82	22	in	in	ADP
cana-5263	82	23	the	the	DET
cana-5263	82	24	images	image	NOUN
cana-5263	82	25	.	.	PUNCT
cana-5263	83	1	the	the	DET
cana-5263	83	2	mrmr	mrmr	PROPN
cana-5263	83	3	feature	feature	NOUN
cana-5263	83	4	selection	selection	NOUN
cana-5263	83	5	technique	technique	NOUN
cana-5263	83	6	played	play	VERB
cana-5263	83	7	a	a	DET
cana-5263	83	8	crucial	crucial	ADJ
cana-5263	83	9	role	role	NOUN
cana-5263	83	10	in	in	ADP
cana-5263	83	11	improving	improve	VERB
cana-5263	83	12	the	the	DET
cana-5263	83	13	model	model	NOUN
cana-5263	83	14	's	's	PART
cana-5263	83	15	performance	performance	NOUN
cana-5263	83	16	by	by	ADP
cana-5263	83	17	focusing	focus	VERB
cana-5263	83	18	on	on	ADP
cana-5263	83	19	the	the	DET
cana-5263	83	20	most	most	ADV
cana-5263	83	21	relevant	relevant	ADJ
cana-5263	83	22	features	feature	NOUN
cana-5263	83	23	.	.	PUNCT
cana-5263	84	1	this	this	PRON
cana-5263	84	2	helped	help	VERB
cana-5263	84	3	in	in	ADP
cana-5263	84	4	reducing	reduce	VERB
cana-5263	84	5	the	the	DET
cana-5263	84	6	dimensionality	dimensionality	NOUN
cana-5263	84	7	of	of	ADP
cana-5263	84	8	the	the	DET
cana-5263	84	9	data	datum	NOUN
cana-5263	84	10	while	while	SCONJ
cana-5263	84	11	ensuring	ensure	VERB
cana-5263	84	12	that	that	SCONJ
cana-5263	84	13	the	the	DET
cana-5263	84	14	most	most	ADV
cana-5263	84	15	important	important	ADJ
cana-5263	84	16	information	information	NOUN
cana-5263	84	17	for	for	ADP
cana-5263	84	18	disease	disease	NOUN
cana-5263	84	19	classification	classification	NOUN
cana-5263	84	20	was	be	AUX
cana-5263	84	21	retained	retain	VERB
cana-5263	84	22	.	.	PUNCT
cana-5263	85	1	by	by	ADP
cana-5263	85	2	removing	remove	VERB
cana-5263	85	3	redundant	redundant	ADJ
cana-5263	85	4	features	feature	NOUN
cana-5263	85	5	,	,	PUNCT
cana-5263	85	6	the	the	DET
cana-5263	85	7	model	model	NOUN
cana-5263	85	8	was	be	AUX
cana-5263	85	9	able	able	ADJ
cana-5263	85	10	to	to	PART
cana-5263	85	11	make	make	VERB
cana-5263	85	12	faster	fast	ADV
cana-5263	85	13	and	and	CCONJ
cana-5263	85	14	more	more	ADV
cana-5263	85	15	accurate	accurate	ADJ
cana-5263	85	16	predictions	prediction	NOUN
cana-5263	85	17	.	.	PUNCT
cana-5263	86	1	the	the	DET
cana-5263	86	2	self	self	NOUN
cana-5263	86	3	-	-	PUNCT
cana-5263	86	4	attention	attention	NOUN
cana-5263	86	5	mechanism	mechanism	NOUN
cana-5263	86	6	incorporated	incorporate	VERB
cana-5263	86	7	in	in	ADP
cana-5263	86	8	the	the	DET
cana-5263	86	9	deep	deep	ADJ
cana-5263	86	10	neural	neural	ADJ
cana-5263	86	11	network	network	NOUN
cana-5263	86	12	architecture	architecture	NOUN
cana-5263	86	13	allowed	allow	VERB
cana-5263	86	14	the	the	DET
cana-5263	86	15	model	model	NOUN
cana-5263	86	16	to	to	PART
cana-5263	86	17	dynamically	dynamically	ADV
cana-5263	86	18	assign	assign	VERB
cana-5263	86	19	different	different	ADJ
cana-5263	86	20	weights	weight	NOUN
cana-5263	86	21	to	to	ADP
cana-5263	86	22	features	feature	NOUN
cana-5263	86	23	based	base	VERB
cana-5263	86	24	on	on	ADP
cana-5263	86	25	their	their	PRON
cana-5263	86	26	importance	importance	NOUN
cana-5263	86	27	,	,	PUNCT
cana-5263	86	28	further	far	ADV
cana-5263	86	29	improving	improve	VERB
cana-5263	86	30	its	its	PRON
cana-5263	86	31	ability	ability	NOUN
cana-5263	86	32	to	to	PART
cana-5263	86	33	focus	focus	VERB
cana-5263	86	34	on	on	ADP
cana-5263	86	35	disease	disease	NOUN
cana-5263	86	36	-	-	PUNCT
cana-5263	86	37	specific	specific	ADJ
cana-5263	86	38	patterns	pattern	NOUN
cana-5263	86	39	.	.	PUNCT
cana-5263	87	1	this	this	DET
cana-5263	87	2	feature	feature	NOUN
cana-5263	87	3	is	be	AUX
cana-5263	87	4	particularly	particularly	ADV
cana-5263	87	5	beneficial	beneficial	ADJ
cana-5263	87	6	for	for	ADP
cana-5263	87	7	crop	crop	NOUN
cana-5263	87	8	disease	disease	NOUN
cana-5263	87	9	detection	detection	NOUN
cana-5263	87	10	,	,	PUNCT
cana-5263	87	11	where	where	SCONJ
cana-5263	87	12	subtle	subtle	ADJ
cana-5263	87	13	variations	variation	NOUN
cana-5263	87	14	in	in	ADP
cana-5263	87	15	leaf	leaf	NOUN
cana-5263	87	16	images	image	NOUN
cana-5263	87	17	may	may	AUX
cana-5263	87	18	signify	signify	VERB
cana-5263	87	19	the	the	DET
cana-5263	87	20	onset	onset	NOUN
cana-5263	87	21	of	of	ADP
cana-5263	87	22	a	a	DET
cana-5263	87	23	disease	disease	NOUN
cana-5263	87	24	.	.	PUNCT
cana-5263	88	1	5	5	NUM
cana-5263	88	2	conclusion	conclusion	NOUN
cana-5263	88	3	and	and	CCONJ
cana-5263	88	4	future	future	ADJ
cana-5263	88	5	scope	scope	NOUN
cana-5263	88	6	5.1	5.1	NUM
cana-5263	88	7	conclusion	conclusion	NOUN
cana-5263	88	8	this	this	DET
cana-5263	88	9	study	study	NOUN
cana-5263	88	10	presents	present	VERB
cana-5263	88	11	an	an	DET
cana-5263	88	12	advanced	advanced	ADJ
cana-5263	88	13	methodology	methodology	NOUN
cana-5263	88	14	for	for	ADP
cana-5263	88	15	crop	crop	NOUN
cana-5263	88	16	disease	disease	NOUN
cana-5263	88	17	detection	detection	NOUN
cana-5263	88	18	by	by	ADP
cana-5263	88	19	integrating	integrate	VERB
cana-5263	88	20	internet	internet	NOUN
cana-5263	88	21	of	of	ADP
cana-5263	88	22	things	thing	NOUN
cana-5263	88	23	(	(	PUNCT
cana-5263	88	24	iot	iot	NOUN
cana-5263	88	25	)	)	PUNCT
cana-5263	88	26	sensor	sensor	NOUN
cana-5263	88	27	data	datum	NOUN
cana-5263	88	28	with	with	ADP
cana-5263	88	29	deep	deep	ADJ
cana-5263	88	30	learning	learning	NOUN
cana-5263	88	31	techniques	technique	NOUN
cana-5263	88	32	,	,	PUNCT
cana-5263	88	33	specifically	specifically	ADV
cana-5263	88	34	leveraging	leverage	VERB
cana-5263	88	35	self	self	NOUN
cana-5263	88	36	-	-	PUNCT
cana-5263	88	37	attention	attention	NOUN
cana-5263	88	38	-	-	PUNCT
cana-5263	88	39	based	base	VERB
cana-5263	88	40	deep	deep	ADJ
cana-5263	88	41	neural	neural	ADJ
cana-5263	88	42	networks	network	NOUN
cana-5263	88	43	.	.	PUNCT
cana-5263	89	1	the	the	DET
cana-5263	89	2	approach	approach	NOUN
cana-5263	89	3	effectively	effectively	ADV
cana-5263	89	4	combines	combine	VERB
cana-5263	89	5	image	image	NOUN
cana-5263	89	6	processing	processing	NOUN
cana-5263	89	7	of	of	ADP
cana-5263	89	8	high	high	ADJ
cana-5263	89	9	-	-	PUNCT
cana-5263	89	10	resolution	resolution	NOUN
cana-5263	89	11	leaf	leaf	NOUN
cana-5263	89	12	images	image	NOUN
cana-5263	89	13	and	and	CCONJ
cana-5263	89	14	environmental	environmental	ADJ
cana-5263	89	15	data	datum	NOUN
cana-5263	89	16	from	from	ADP
cana-5263	89	17	iot	iot	ADJ
cana-5263	89	18	sensors	sensor	NOUN
cana-5263	89	19	to	to	PART
cana-5263	89	20	identify	identify	VERB
cana-5263	89	21	crop	crop	NOUN
cana-5263	89	22	diseases	disease	NOUN
cana-5263	89	23	with	with	ADP
cana-5263	89	24	high	high	ADJ
cana-5263	89	25	accuracy	accuracy	NOUN
cana-5263	89	26	.	.	PUNCT
cana-5263	90	1	the	the	DET
cana-5263	90	2	deep	deep	ADJ
cana-5263	90	3	convolutional	convolutional	ADJ
cana-5263	90	4	neural	neural	ADJ
cana-5263	90	5	network	network	NOUN
cana-5263	90	6	(	(	PUNCT
cana-5263	90	7	cnn	cnn	PROPN
cana-5263	90	8	)	)	PUNCT
cana-5263	90	9	,	,	PUNCT
cana-5263	90	10	specifically	specifically	ADV
cana-5263	90	11	resnet-18	resnet-18	PROPN
cana-5263	90	12	,	,	PUNCT
cana-5263	90	13	was	be	AUX
cana-5263	90	14	employed	employ	VERB
cana-5263	90	15	for	for	ADP
cana-5263	90	16	feature	feature	NOUN
cana-5263	90	17	extraction	extraction	NOUN
cana-5263	90	18	,	,	PUNCT
cana-5263	90	19	followed	follow	VERB
cana-5263	90	20	by	by	ADP
cana-5263	90	21	a	a	DET
cana-5263	90	22	minimum	minimum	ADJ
cana-5263	90	23	redundancy	redundancy	NOUN
cana-5263	90	24	maximum	maximum	NOUN
cana-5263	90	25	relevance	relevance	NOUN
cana-5263	90	26	(	(	PUNCT
cana-5263	90	27	mrmr	mrmr	NOUN
cana-5263	90	28	)	)	PUNCT
cana-5263	90	29	feature	feature	NOUN
cana-5263	90	30	selection	selection	NOUN
cana-5263	90	31	technique	technique	NOUN
cana-5263	90	32	that	that	PRON
cana-5263	90	33	ensured	ensure	VERB
cana-5263	90	34	the	the	DET
cana-5263	90	35	most	most	ADV
cana-5263	90	36	relevant	relevant	ADJ
cana-5263	90	37	features	feature	NOUN
cana-5263	90	38	were	be	AUX
cana-5263	90	39	used	use	VERB
cana-5263	90	40	for	for	ADP
cana-5263	90	41	classification	classification	NOUN
cana-5263	90	42	.	.	PUNCT
cana-5263	91	1	the	the	DET
cana-5263	91	2	inclusion	inclusion	NOUN
cana-5263	91	3	of	of	ADP
cana-5263	91	4	a	a	DET
cana-5263	91	5	self	self	NOUN
cana-5263	91	6	-	-	PUNCT
cana-5263	91	7	attention	attention	NOUN
cana-5263	91	8	mechanism	mechanism	NOUN
cana-5263	91	9	allowed	allow	VERB
cana-5263	91	10	the	the	DET
cana-5263	91	11	model	model	NOUN
cana-5263	91	12	to	to	PART
cana-5263	91	13	dynamically	dynamically	ADV
cana-5263	91	14	focus	focus	VERB
cana-5263	91	15	on	on	ADP
cana-5263	91	16	the	the	DET
cana-5263	91	17	most	most	ADV
cana-5263	91	18	important	important	ADJ
cana-5263	91	19	features	feature	NOUN
cana-5263	91	20	,	,	PUNCT
cana-5263	91	21	enhancing	enhance	VERB
cana-5263	91	22	its	its	PRON
cana-5263	91	23	ability	ability	NOUN
cana-5263	91	24	to	to	PART
cana-5263	91	25	classify	classify	VERB
cana-5263	91	26	crop	crop	NOUN
cana-5263	91	27	diseases	disease	NOUN
cana-5263	91	28	accurately	accurately	ADV
cana-5263	91	29	.	.	PUNCT
cana-5263	92	1	the	the	DET
cana-5263	92	2	model	model	NOUN
cana-5263	92	3	achieved	achieve	VERB
cana-5263	92	4	an	an	DET
cana-5263	92	5	impressive	impressive	ADJ
cana-5263	92	6	classification	classification	NOUN
cana-5263	92	7	accuracy	accuracy	NOUN
cana-5263	92	8	of	of	ADP
cana-5263	92	9	99.34	99.34	NUM
cana-5263	92	10	%	%	NOUN
cana-5263	92	11	,	,	PUNCT
cana-5263	92	12	as	as	SCONJ
cana-5263	92	13	demonstrated	demonstrate	VERB
cana-5263	92	14	by	by	ADP
cana-5263	92	15	the	the	DET
cana-5263	92	16	confusion	confusion	NOUN
cana-5263	92	17	matrix	matrix	NOUN
cana-5263	92	18	,	,	PUNCT
cana-5263	92	19	which	which	PRON
cana-5263	92	20	highlights	highlight	VERB
cana-5263	92	21	the	the	DET
cana-5263	92	22	robustness	robustness	NOUN
cana-5263	92	23	of	of	ADP
cana-5263	92	24	the	the	DET
cana-5263	92	25	system	system	NOUN
cana-5263	92	26	in	in	ADP
cana-5263	92	27	correctly	correctly	ADV
cana-5263	92	28	predicting	predict	VERB
cana-5263	92	29	disease	disease	NOUN
cana-5263	92	30	labels	label	VERB
cana-5263	92	31	across	across	ADP
cana-5263	92	32	multiple	multiple	ADJ
cana-5263	92	33	classes	class	NOUN
cana-5263	92	34	.	.	PUNCT
cana-5263	93	1	this	this	DET
cana-5263	93	2	level	level	NOUN
cana-5263	93	3	of	of	ADP
cana-5263	93	4	accuracy	accuracy	NOUN
cana-5263	93	5	indicates	indicate	VERB
cana-5263	93	6	that	that	SCONJ
cana-5263	93	7	the	the	DET
cana-5263	93	8	proposed	propose	VERB
cana-5263	93	9	methodology	methodology	NOUN
cana-5263	93	10	is	be	AUX
cana-5263	93	11	not	not	PART
cana-5263	93	12	only	only	ADV
cana-5263	93	13	effective	effective	ADJ
cana-5263	93	14	but	but	CCONJ
cana-5263	93	15	also	also	ADV
cana-5263	93	16	highly	highly	ADV
cana-5263	93	17	reliable	reliable	ADJ
cana-5263	93	18	for	for	ADP
cana-5263	93	19	real	real	ADJ
cana-5263	93	20	-	-	PUNCT
cana-5263	93	21	world	world	NOUN
cana-5263	93	22	applications	application	NOUN
cana-5263	93	23	in	in	ADP
cana-5263	93	24	agricultural	agricultural	ADJ
cana-5263	93	25	settings	setting	NOUN
cana-5263	93	26	.	.	PUNCT
cana-5263	94	1	the	the	DET
cana-5263	94	2	integration	integration	NOUN
cana-5263	94	3	of	of	ADP
cana-5263	94	4	iot	iot	PROPN
cana-5263	94	5	data	datum	NOUN
cana-5263	94	6	and	and	CCONJ
cana-5263	94	7	deep	deep	ADJ
cana-5263	94	8	learning	learning	NOUN
cana-5263	94	9	presents	present	VERB
cana-5263	94	10	a	a	DET
cana-5263	94	11	novel	novel	NOUN
cana-5263	94	12	and	and	CCONJ
cana-5263	94	13	powerful	powerful	ADJ
cana-5263	94	14	solution	solution	NOUN
cana-5263	94	15	for	for	ADP
cana-5263	94	16	precision	precision	NOUN
cana-5263	94	17	agriculture	agriculture	NOUN
cana-5263	94	18	.	.	PUNCT
cana-5263	95	1	by	by	ADP
cana-5263	95	2	leveraging	leverage	VERB
cana-5263	95	3	environmental	environmental	ADJ
cana-5263	95	4	context	context	NOUN
cana-5263	95	5	along	along	ADP
cana-5263	95	6	with	with	ADP
cana-5263	95	7	visual	visual	ADJ
cana-5263	95	8	data	datum	NOUN
cana-5263	95	9	,	,	PUNCT
cana-5263	95	10	the	the	DET
cana-5263	95	11	model	model	NOUN
cana-5263	95	12	offers	offer	VERB
cana-5263	95	13	a	a	DET
cana-5263	95	14	more	more	ADV
cana-5263	95	15	comprehensive	comprehensive	ADJ
cana-5263	95	16	understanding	understanding	NOUN
cana-5263	95	17	of	of	ADP
cana-5263	95	18	the	the	DET
cana-5263	95	19	crop	crop	NOUN
cana-5263	95	20	's	's	PART
cana-5263	95	21	health	health	NOUN
cana-5263	95	22	,	,	PUNCT
cana-5263	95	23	which	which	PRON
cana-5263	95	24	can	can	AUX
cana-5263	95	25	help	help	VERB
cana-5263	95	26	in	in	ADP
cana-5263	95	27	early	early	ADJ
cana-5263	95	28	disease	disease	NOUN
cana-5263	95	29	detection	detection	NOUN
cana-5263	95	30	and	and	CCONJ
cana-5263	95	31	intervention	intervention	NOUN
cana-5263	95	32	.	.	PUNCT
cana-5263	96	1	this	this	DET
cana-5263	96	2	work	work	NOUN
cana-5263	96	3	paves	pave	VERB
cana-5263	96	4	the	the	DET
cana-5263	96	5	way	way	NOUN
cana-5263	96	6	for	for	ADP
cana-5263	96	7	the	the	DET
cana-5263	96	8	development	development	NOUN
cana-5263	96	9	of	of	ADP
cana-5263	96	10	autonomous	autonomous	ADJ
cana-5263	96	11	and	and	CCONJ
cana-5263	96	12	intelligent	intelligent	ADJ
cana-5263	96	13	systems	system	NOUN
cana-5263	96	14	capable	capable	ADJ
cana-5263	96	15	of	of	ADP
cana-5263	96	16	supporting	support	VERB
cana-5263	96	17	farmers	farmer	NOUN
cana-5263	96	18	in	in	ADP
cana-5263	96	19	managing	manage	VERB
cana-5263	96	20	crop	crop	NOUN
cana-5263	96	21	diseases	disease	NOUN
cana-5263	96	22	efficiently	efficiently	ADV
cana-5263	96	23	and	and	CCONJ
cana-5263	96	24	effectively	effectively	ADV
cana-5263	96	25	.	.	PUNCT
cana-5263	97	1	5.2	5.2	NUM
cana-5263	97	2	future	future	ADJ
cana-5263	97	3	scope	scope	NOUN
cana-5263	97	4	the	the	DET
cana-5263	97	5	future	future	ADJ
cana-5263	97	6	scope	scope	NOUN
cana-5263	97	7	of	of	ADP
cana-5263	97	8	this	this	DET
cana-5263	97	9	research	research	NOUN
cana-5263	97	10	lies	lie	VERB
cana-5263	97	11	in	in	ADP
cana-5263	97	12	expanding	expand	VERB
cana-5263	97	13	the	the	DET
cana-5263	97	14	system	system	NOUN
cana-5263	97	15	’s	’s	PART
cana-5263	97	16	capabilities	capability	NOUN
cana-5263	97	17	by	by	ADP
cana-5263	97	18	integrating	integrate	VERB
cana-5263	97	19	a	a	DET
cana-5263	97	20	larger	large	ADJ
cana-5263	97	21	and	and	CCONJ
cana-5263	97	22	more	more	ADV
cana-5263	97	23	diverse	diverse	ADJ
cana-5263	97	24	dataset	dataset	NOUN
cana-5263	97	25	,	,	PUNCT
cana-5263	97	26	incorporating	incorporate	VERB
cana-5263	97	27	real	real	ADJ
cana-5263	97	28	-	-	PUNCT
cana-5263	97	29	time	time	NOUN
cana-5263	97	30	field	field	NOUN
cana-5263	97	31	deployment	deployment	NOUN
cana-5263	97	32	for	for	ADP
cana-5263	97	33	dynamic	dynamic	ADJ
cana-5263	97	34	environmental	environmental	ADJ
cana-5263	97	35	conditions	condition	NOUN
cana-5263	97	36	,	,	PUNCT
cana-5263	97	37	and	and	CCONJ
cana-5263	97	38	optimizing	optimize	VERB
cana-5263	97	39	for	for	ADP
cana-5263	97	40	mobile	mobile	ADJ
cana-5263	97	41	or	or	CCONJ
cana-5263	97	42	drone	drone	NOUN
cana-5263	97	43	-	-	PUNCT
cana-5263	97	44	based	base	VERB
cana-5263	97	45	platforms	platform	NOUN
cana-5263	97	46	.	.	PUNCT
cana-5263	98	1	further	further	ADJ
cana-5263	98	2	advancements	advancement	NOUN
cana-5263	98	3	could	could	AUX
cana-5263	98	4	include	include	VERB
cana-5263	98	5	enhancing	enhance	VERB
cana-5263	98	6	the	the	DET
cana-5263	98	7	model	model	NOUN
cana-5263	98	8	’s	’s	PART
cana-5263	98	9	robustness	robustness	NOUN
cana-5263	98	10	through	through	ADP
cana-5263	98	11	regularization	regularization	NOUN
cana-5263	98	12	techniques	technique	NOUN
cana-5263	98	13	,	,	PUNCT
cana-5263	98	14	exploring	explore	VERB
cana-5263	98	15	multi	multi	ADJ
cana-5263	98	16	-	-	ADJ
cana-5263	98	17	modal	modal	ADJ
cana-5263	98	18	data	datum	NOUN
cana-5263	98	19	fusion	fusion	NOUN
cana-5263	98	20	for	for	ADP
cana-5263	98	21	more	more	ADV
cana-5263	98	22	accurate	accurate	ADJ
cana-5263	98	23	disease	disease	NOUN
cana-5263	98	24	classification	classification	NOUN
cana-5263	98	25	,	,	PUNCT
cana-5263	98	26	and	and	CCONJ
cana-5263	98	27	implementing	implement	VERB
cana-5263	98	28	edge	edge	NOUN
cana-5263	98	29	computing	computing	NOUN
cana-5263	98	30	for	for	ADP
cana-5263	98	31	faster	fast	ADJ
cana-5263	98	32	decision	decision	NOUN
cana-5263	98	33	-	-	PUNCT
cana-5263	98	34	making	making	NOUN
cana-5263	98	35	.	.	PUNCT
cana-5263	99	1	additionally	additionally	ADV
cana-5263	99	2	,	,	PUNCT
cana-5263	99	3	the	the	DET
cana-5263	99	4	system	system	NOUN
cana-5263	99	5	could	could	AUX
cana-5263	99	6	be	be	AUX
cana-5263	99	7	integrated	integrate	VERB
cana-5263	99	8	with	with	ADP
cana-5263	99	9	precision	precision	NOUN
cana-5263	99	10	agriculture	agriculture	NOUN
cana-5263	99	11	tools	tool	NOUN
cana-5263	99	12	for	for	ADP
cana-5263	99	13	automated	automate	VERB
cana-5263	99	14	disease	disease	NOUN
cana-5263	99	15	communications	communication	NOUN
cana-5263	99	16	on	on	ADP
cana-5263	99	17	applied	apply	VERB
cana-5263	99	18	nonlinear	nonlinear	ADJ
cana-5263	99	19	analysis	analysis	NOUN
cana-5263	99	20	issn	issn	NOUN
cana-5263	99	21	:	:	PUNCT
cana-5263	99	22	1074	1074	NUM
cana-5263	99	23	-	-	PUNCT
cana-5263	99	24	133x	133x	NUM
cana-5263	99	25	vol	vol	VERB
cana-5263	99	26	32	32	NUM
cana-5263	99	27	no	no	NOUN
cana-5263	99	28	.	.	PUNCT
cana-5263	100	1	10s	10	NOUN
cana-5263	100	2	(	(	PUNCT
cana-5263	100	3	2025	2025	NUM
cana-5263	100	4	)	)	PUNCT
cana-5263	100	5	1612	1612	NUM
cana-5263	100	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	100	7	management	management	NOUN
cana-5263	100	8	,	,	PUNCT
cana-5263	100	9	while	while	SCONJ
cana-5263	100	10	ensuring	ensure	VERB
cana-5263	100	11	scalability	scalability	NOUN
cana-5263	100	12	and	and	CCONJ
cana-5263	100	13	cost	cost	NOUN
cana-5263	100	14	-	-	PUNCT
cana-5263	100	15	effectiveness	effectiveness	NOUN
cana-5263	100	16	for	for	ADP
cana-5263	100	17	widespread	widespread	ADJ
cana-5263	100	18	adoption	adoption	NOUN
cana-5263	100	19	.	.	PUNCT
cana-5263	101	1	addressing	address	VERB
cana-5263	101	2	the	the	DET
cana-5263	101	3	explainability	explainability	NOUN
cana-5263	101	4	of	of	ADP
cana-5263	101	5	deep	deep	ADJ
cana-5263	101	6	learning	learning	NOUN
cana-5263	101	7	models	model	NOUN
cana-5263	101	8	will	will	AUX
cana-5263	101	9	also	also	ADV
cana-5263	101	10	be	be	AUX
cana-5263	101	11	crucial	crucial	ADJ
cana-5263	101	12	in	in	ADP
cana-5263	101	13	ensuring	ensure	VERB
cana-5263	101	14	transparency	transparency	NOUN
cana-5263	101	15	and	and	CCONJ
cana-5263	101	16	trust	trust	NOUN
cana-5263	101	17	in	in	ADP
cana-5263	101	18	the	the	DET
cana-5263	101	19	predictions	prediction	NOUN
cana-5263	101	20	made	make	VERB
cana-5263	101	21	by	by	ADP
cana-5263	101	22	the	the	DET
cana-5263	101	23	system	system	NOUN
cana-5263	101	24	,	,	PUNCT
cana-5263	101	25	ultimately	ultimately	ADV
cana-5263	101	26	supporting	support	VERB
cana-5263	101	27	smarter	smart	ADJ
cana-5263	101	28	and	and	CCONJ
cana-5263	101	29	more	more	ADV
cana-5263	101	30	efficient	efficient	ADJ
cana-5263	101	31	agricultural	agricultural	ADJ
cana-5263	101	32	practices	practice	NOUN
cana-5263	101	33	.	.	PUNCT
cana-5263	102	1	references	reference	NOUN
cana-5263	102	2	[	[	X
cana-5263	102	3	1	1	NUM
cana-5263	102	4	]	]	X
cana-5263	102	5	ritesh	ritesh	PROPN
cana-5263	102	6	maurya	maurya	PROPN
cana-5263	102	7	,	,	PUNCT
cana-5263	102	8	satyajit	satyajit	PROPN
cana-5263	102	9	mahapatra	mahapatra	PROPN
cana-5263	102	10	,	,	PUNCT
cana-5263	102	11	and	and	CCONJ
cana-5263	102	12	lucky	lucky	ADJ
cana-5263	102	13	rajput	rajput	PROPN
cana-5263	102	14	.	.	PUNCT
cana-5263	103	1	a	a	DET
cana-5263	103	2	lightweight	lightweight	ADJ
cana-5263	103	3	meta	meta	ADJ
cana-5263	103	4	-	-	PUNCT
cana-5263	103	5	ensemble	ensemble	ADJ
cana-5263	103	6	approach	approach	NOUN
cana-5263	103	7	for	for	ADP
cana-5263	103	8	plant	plant	NOUN
cana-5263	103	9	disease	disease	NOUN
cana-5263	103	10	detection	detection	NOUN
cana-5263	103	11	suitable	suitable	ADJ
cana-5263	103	12	for	for	ADP
cana-5263	103	13	iot	iot	NOUN
cana-5263	103	14	-	-	PUNCT
cana-5263	103	15	based	base	VERB
cana-5263	103	16	environments	environment	NOUN
cana-5263	103	17	.	.	PUNCT
cana-5263	104	1	ieee	ieee	NOUN
cana-5263	104	2	access	access	NOUN
cana-5263	104	3	,	,	PUNCT
cana-5263	104	4	12:28096–28108	12:28096–28108	NUM
cana-5263	104	5	,	,	PUNCT
cana-5263	104	6	2024	2024	NUM
cana-5263	104	7	.	.	PUNCT
cana-5263	105	1	[	[	X
cana-5263	105	2	2	2	X
cana-5263	105	3	]	]	PUNCT
cana-5263	105	4	a	a	DET
cana-5263	105	5	abbas	abbas	NOUN
cana-5263	105	6	,	,	PUNCT
cana-5263	105	7	s	s	PART
cana-5263	105	8	jain	jain	PROPN
cana-5263	105	9	,	,	PUNCT
cana-5263	105	10	m	m	NOUN
cana-5263	105	11	gour	gour	ADJ
cana-5263	105	12	,	,	PUNCT
cana-5263	105	13	and	and	CCONJ
cana-5263	105	14	s	s	AUX
cana-5263	105	15	vankudothu	vankudothu	NOUN
cana-5263	105	16	.	.	PUNCT
cana-5263	105	17	tomato	tomato	NOUN
cana-5263	105	18	plant	plant	NOUN
cana-5263	105	19	disease	disease	NOUN
cana-5263	105	20	detection	detection	NOUN
cana-5263	105	21	using	use	VERB
cana-5263	105	22	transfer	transfer	NOUN
cana-5263	105	23	learning	learning	NOUN
cana-5263	105	24	with	with	ADP
cana-5263	105	25	c	c	NOUN
cana-5263	105	26	-	-	PUNCT
cana-5263	105	27	gan	gin	VERB
cana-5263	105	28	synthetic	synthetic	ADJ
cana-5263	105	29	images	image	NOUN
cana-5263	105	30	.	.	PUNCT
cana-5263	106	1	computers	computer	NOUN
cana-5263	106	2	and	and	CCONJ
cana-5263	106	3	electronics	electronic	NOUN
cana-5263	106	4	in	in	ADP
cana-5263	106	5	agriculture	agriculture	NOUN
cana-5263	106	6	,	,	PUNCT
cana-5263	106	7	187:106279	187:106279	NUM
cana-5263	106	8	,	,	PUNCT
cana-5263	106	9	2021	2021	NUM
cana-5263	106	10	.	.	PUNCT
cana-5263	107	1	[	[	X
cana-5263	107	2	3	3	NUM
cana-5263	107	3	]	]	PUNCT
cana-5263	107	4	umit	umit	NOUN
cana-5263	107	5	atila	atila	PROPN
cana-5263	107	6	,	,	PUNCT
cana-5263	107	7	murat	murat	NOUN
cana-5263	107	8	u¸car	u¸car	NOUN
cana-5263	107	9	,	,	PUNCT
cana-5263	107	10	kemal	kemal	NOUN
cana-5263	107	11	akyol	akyol	NOUN
cana-5263	107	12	,	,	PUNCT
cana-5263	107	13	and	and	CCONJ
cana-5263	107	14	ercan	ercan	PROPN
cana-5263	107	15	u¸car	u¸car	NUM
cana-5263	107	16	.	.	PUNCT
cana-5263	107	17	plant	plant	NOUN
cana-5263	107	18	leaf	leaf	NOUN
cana-5263	107	19	disease	disease	NOUN
cana-5263	107	20	classification	classification	NOUN
cana-5263	107	21	using	use	VERB
cana-5263	107	22	efficientnet	efficientnet	ADJ
cana-5263	107	23	deep	deep	ADJ
cana-5263	107	24	learning	learning	NOUN
cana-5263	107	25	model	model	NOUN
cana-5263	107	26	.	.	PUNCT
cana-5263	108	1	ecological	ecological	ADJ
cana-5263	108	2	informatics	informatic	NOUN
cana-5263	108	3	,	,	PUNCT
cana-5263	108	4	61:101182	61:101182	NOUN
cana-5263	108	5	,	,	PUNCT
cana-5263	108	6	2021	2021	NUM
cana-5263	108	7	.	.	PUNCT
cana-5263	109	1	[	[	X
cana-5263	109	2	4	4	NUM
cana-5263	109	3	]	]	PUNCT
cana-5263	109	4	pradeep	pradeep	PROPN
cana-5263	109	5	singh	singh	PROPN
cana-5263	109	6	thakur	thakur	PROPN
cana-5263	109	7	,	,	PUNCT
cana-5263	109	8	preeti	preeti	PROPN
cana-5263	109	9	khanna	khanna	PROPN
cana-5263	109	10	,	,	PUNCT
cana-5263	109	11	tanuja	tanuja	NOUN
cana-5263	109	12	sheorey	sheorey	PROPN
cana-5263	109	13	,	,	PUNCT
cana-5263	109	14	and	and	CCONJ
cana-5263	109	15	ayushi	ayushi	PROPN
cana-5263	109	16	ojha	ojha	NOUN
cana-5263	109	17	.	.	PUNCT
cana-5263	110	1	explainable	explainable	ADJ
cana-5263	110	2	vision	vision	NOUN
cana-5263	110	3	transformer	transformer	NOUN
cana-5263	110	4	enabled	enable	VERB
cana-5263	110	5	convolutional	convolutional	ADJ
cana-5263	110	6	neural	neural	ADJ
cana-5263	110	7	networks	network	NOUN
cana-5263	110	8	for	for	ADP
cana-5263	110	9	plant	plant	NOUN
cana-5263	110	10	disease	disease	NOUN
cana-5263	110	11	identification	identification	NOUN
cana-5263	110	12	:	:	PUNCT
cana-5263	111	1	plantxvit	plantxvit	ADJ
cana-5263	111	2	.	.	PUNCT
cana-5263	112	1	arxiv	arxiv	PROPN
cana-5263	112	2	preprint	preprint	VERB
cana-5263	112	3	arxiv:2207.07919	arxiv:2207.07919	PROPN
cana-5263	112	4	,	,	PUNCT
cana-5263	112	5	2022	2022	NUM
cana-5263	112	6	.	.	PUNCT
cana-5263	113	1	[	[	X
cana-5263	113	2	5	5	NUM
cana-5263	113	3	]	]	PUNCT
cana-5263	113	4	sunil	sunil	NOUN
cana-5263	113	5	maurya	maurya	PROPN
cana-5263	113	6	hassan	hassan	PROPN
cana-5263	113	7	and	and	CCONJ
cana-5263	113	8	amit	amit	PROPN
cana-5263	113	9	kumar	kumar	PROPN
cana-5263	113	10	maji	maji	PROPN
cana-5263	113	11	.	.	PUNCT
cana-5263	114	1	plant	plant	NOUN
cana-5263	114	2	disease	disease	NOUN
cana-5263	114	3	identification	identification	NOUN
cana-5263	114	4	using	use	VERB
cana-5263	114	5	a	a	DET
cana-5263	114	6	novel	novel	ADJ
cana-5263	114	7	convolutional	convolutional	ADJ
cana-5263	114	8	neural	neural	ADJ
cana-5263	114	9	network	network	NOUN
cana-5263	114	10	.	.	PUNCT
cana-5263	115	1	ieee	ieee	NOUN
cana-5263	115	2	access	access	NOUN
cana-5263	115	3	,	,	PUNCT
cana-5263	115	4	10:5390–5401	10:5390–5401	NUM
cana-5263	115	5	,	,	PUNCT
cana-5263	115	6	2022	2022	NUM
cana-5263	115	7	.	.	PUNCT
cana-5263	116	1	[	[	X
cana-5263	116	2	6	6	NUM
cana-5263	116	3	]	]	PUNCT
cana-5263	116	4	atul	atul	PROPN
cana-5263	116	5	pandey	pandey	PROPN
cana-5263	116	6	and	and	CCONJ
cana-5263	116	7	kamal	kamal	PROPN
cana-5263	116	8	jain	jain	PROPN
cana-5263	116	9	.	.	PUNCT
cana-5263	117	1	a	a	DET
cana-5263	117	2	robust	robust	ADJ
cana-5263	117	3	deep	deep	ADJ
cana-5263	117	4	attention	attention	NOUN
cana-5263	117	5	dense	dense	ADJ
cana-5263	117	6	convolutional	convolutional	ADJ
cana-5263	117	7	neural	neural	ADJ
cana-5263	117	8	network	network	NOUN
cana-5263	117	9	for	for	ADP
cana-5263	117	10	plant	plant	NOUN
cana-5263	117	11	leaf	leaf	NOUN
cana-5263	117	12	disease	disease	NOUN
cana-5263	117	13	identification	identification	NOUN
cana-5263	117	14	and	and	CCONJ
cana-5263	117	15	classification	classification	NOUN
cana-5263	117	16	from	from	ADP
cana-5263	117	17	smart	smart	ADJ
cana-5263	117	18	phone	phone	NOUN
cana-5263	117	19	captured	capture	VERB
cana-5263	117	20	real	real	ADJ
cana-5263	117	21	world	world	NOUN
cana-5263	117	22	images	image	NOUN
cana-5263	117	23	.	.	PUNCT
cana-5263	118	1	ecological	ecological	ADJ
cana-5263	118	2	informatics	informatic	NOUN
cana-5263	118	3	,	,	PUNCT
cana-5263	118	4	70:101725	70:101725	NUM
cana-5263	118	5	,	,	PUNCT
cana-5263	118	6	2022	2022	NUM
cana-5263	118	7	[	[	X
cana-5263	118	8	7	7	NUM
cana-5263	118	9	]	]	X
cana-5263	118	10	loddo	loddo	NOUN
cana-5263	118	11	,	,	PUNCT
cana-5263	118	12	m.	m.	NOUN
cana-5263	118	13	loddo	loddo	NOUN
cana-5263	118	14	,	,	PUNCT
cana-5263	118	15	and	and	CCONJ
cana-5263	118	16	c.	c.	PROPN
cana-5263	118	17	di	di	PROPN
cana-5263	118	18	ruberto	ruberto	PROPN
cana-5263	118	19	,	,	PUNCT
cana-5263	118	20	‘	'	PUNCT
cana-5263	118	21	‘	'	PUNCT
cana-5263	118	22	a	a	DET
cana-5263	118	23	novel	novel	ADJ
cana-5263	118	24	deep	deep	ADJ
cana-5263	118	25	learning	learning	NOUN
cana-5263	118	26	based	base	VERB
cana-5263	118	27	approach	approach	NOUN
cana-5263	118	28	for	for	ADP
cana-5263	118	29	seed	seed	NOUN
cana-5263	118	30	image	image	NOUN
cana-5263	118	31	classification	classification	NOUN
cana-5263	118	32	and	and	CCONJ
cana-5263	118	33	retrieval	retrieval	NOUN
cana-5263	118	34	,	,	PUNCT
cana-5263	118	35	’’	’'	PUNCT
cana-5263	118	36	comput	comput	NOUN
cana-5263	118	37	.	.	PUNCT
cana-5263	119	1	electron	electron	PROPN
cana-5263	119	2	.	.	PUNCT
cana-5263	119	3	agricult	agricult	PROPN
cana-5263	119	4	.	.	PUNCT
cana-5263	120	1	,	,	PUNCT
cana-5263	120	2	vol	vol	NOUN
cana-5263	120	3	.	.	PROPN
cana-5263	120	4	187	187	NUM
cana-5263	120	5	,	,	PUNCT
cana-5263	120	6	aug	aug	PROPN
cana-5263	120	7	.	.	PROPN
cana-5263	120	8	2021	2021	NUM
cana-5263	120	9	,	,	PUNCT
cana-5263	120	10	art	art	NOUN
cana-5263	120	11	.	.	PUNCT
cana-5263	121	1	no	no	INTJ
cana-5263	121	2	.	.	NOUN
cana-5263	121	3	106269	106269	NUM
cana-5263	121	4	,	,	PUNCT
cana-5263	121	5	doi:10.1016	doi:10.1016	PROPN
cana-5263	121	6	/	/	SYM
cana-5263	121	7	j.compag.2021.106269	j.compag.2021.106269	PROPN
cana-5263	121	8	.	.	PUNCT
cana-5263	122	1	[	[	X
cana-5263	122	2	8	8	NUM
cana-5263	122	3	]	]	X
cana-5263	122	4	qian	qian	PROPN
cana-5263	122	5	,	,	PUNCT
cana-5263	122	6	m.	m.	NOUN
cana-5263	122	7	tong	tong	PROPN
cana-5263	122	8	,	,	PUNCT
cana-5263	122	9	x.	x.	PROPN
cana-5263	122	10	yu	yu	PROPN
cana-5263	122	11	,	,	PUNCT
cana-5263	122	12	and	and	CCONJ
cana-5263	122	13	s.	s.	PROPN
cana-5263	122	14	zhuang	zhuang	PROPN
cana-5263	122	15	,	,	PUNCT
cana-5263	122	16	‘	'	PUNCT
cana-5263	122	17	‘	'	PUNCT
cana-5263	122	18	cnn	cnn	PROPN
cana-5263	122	19	-	-	PUNCT
cana-5263	122	20	based	base	VERB
cana-5263	122	21	visual	visual	ADJ
cana-5263	122	22	processing	processing	NOUN
cana-5263	122	23	approach	approach	NOUN
cana-5263	122	24	for	for	ADP
cana-5263	122	25	biological	biological	ADJ
cana-5263	122	26	sample	sample	NOUN
cana-5263	122	27	microinjection	microinjection	NOUN
cana-5263	122	28	systems	system	NOUN
cana-5263	122	29	,	,	PUNCT
cana-5263	122	30	’’	’'	PUNCT
cana-5263	122	31	neurocomputing	neurocomputing	NOUN
cana-5263	122	32	,	,	PUNCT
cana-5263	122	33	vol	vol	NOUN
cana-5263	122	34	.	.	PROPN
cana-5263	122	35	459	459	NUM
cana-5263	122	36	,	,	PUNCT
cana-5263	122	37	pp	pp	ADJ
cana-5263	122	38	.	.	PUNCT
cana-5263	122	39	70–80	70–80	NUM
cana-5263	122	40	,	,	PUNCT
cana-5263	122	41	oct	oct	PROPN
cana-5263	122	42	.	.	PROPN
cana-5263	122	43	2021	2021	NUM
cana-5263	122	44	,	,	PUNCT
cana-5263	122	45	doi	doi	NOUN
cana-5263	122	46	:	:	PUNCT
cana-5263	122	47	10.1016	10.1016	NUM
cana-5263	122	48	/	/	SYM
cana-5263	122	49	j.neucom.2021.06.085	j.neucom.2021.06.085	NOUN
cana-5263	122	50	.	.	PUNCT
cana-5263	123	1	[	[	X
cana-5263	123	2	9	9	NUM
cana-5263	123	3	]	]	PUNCT
cana-5263	123	4	r.	r.	PROPN
cana-5263	123	5	maurya	maurya	PROPN
cana-5263	123	6	,	,	PUNCT
cana-5263	123	7	v.	v.	PROPN
cana-5263	123	8	k.	k.	PROPN
cana-5263	123	9	pathak	pathak	PROPN
cana-5263	123	10	,	,	PUNCT
cana-5263	123	11	and	and	CCONJ
cana-5263	123	12	m.	m.	PROPN
cana-5263	123	13	k.	k.	PROPN
cana-5263	123	14	dutta	dutta	PROPN
cana-5263	123	15	,	,	PUNCT
cana-5263	123	16	‘	'	PUNCT
cana-5263	123	17	‘	'	PUNCT
cana-5263	123	18	deep	deep	ADJ
cana-5263	123	19	learning	learning	NOUN
cana-5263	123	20	based	base	VERB
cana-5263	123	21	microscopic	microscopic	ADJ
cana-5263	123	22	cell	cell	NOUN
cana-5263	123	23	images	image	VERB
cana-5263	123	24	classification	classification	NOUN
cana-5263	123	25	framework	framework	NOUN
cana-5263	123	26	using	use	VERB
cana-5263	123	27	multi	multi	ADJ
cana-5263	123	28	-	-	ADJ
cana-5263	123	29	level	level	NOUN
cana-5263	123	30	ensemble	ensemble	ADJ
cana-5263	123	31	,	,	PUNCT
cana-5263	123	32	’’	’'	PUNCT
cana-5263	123	33	comput	comput	NOUN
cana-5263	123	34	.	.	PUNCT
cana-5263	124	1	methods	method	NOUN
cana-5263	124	2	programs	program	NOUN
cana-5263	124	3	biomed	biome	VERB
cana-5263	124	4	.	.	PUNCT
cana-5263	125	1	,	,	PUNCT
cana-5263	125	2	vol	vol	NOUN
cana-5263	125	3	.	.	PROPN
cana-5263	125	4	211	211	NUM
cana-5263	125	5	,	,	PUNCT
cana-5263	125	6	nov	nov	PROPN
cana-5263	125	7	.	.	PROPN
cana-5263	125	8	2021	2021	NUM
cana-5263	125	9	,	,	PUNCT
cana-5263	125	10	art	art	NOUN
cana-5263	125	11	.	.	PUNCT
cana-5263	126	1	no	no	INTJ
cana-5263	126	2	.	.	NOUN
cana-5263	127	1	106445	106445	NUM
cana-5263	127	2	,	,	PUNCT
cana-5263	127	3	doi	doi	NOUN
cana-5263	127	4	:	:	PUNCT
cana-5263	127	5	10.1016	10.1016	NUM
cana-5263	127	6	/	/	SYM
cana-5263	127	7	j.cmpb.2021.106445	j.cmpb.2021.106445	NOUN
cana-5263	127	8	.	.	PUNCT
cana-5263	128	1	[	[	X
cana-5263	128	2	10	10	NUM
cana-5263	128	3	]	]	PUNCT
cana-5263	128	4	s.	s.	PROPN
cana-5263	128	5	yadav	yadav	PROPN
cana-5263	128	6	,	,	PUNCT
cana-5263	128	7	n.	n.	PROPN
cana-5263	128	8	sengar	sengar	PROPN
cana-5263	128	9	,	,	PUNCT
cana-5263	128	10	a.	a.	PROPN
cana-5263	128	11	singh	singh	PROPN
cana-5263	128	12	,	,	PUNCT
cana-5263	128	13	a.	a.	NOUN
cana-5263	128	14	singh	singh	PROPN
cana-5263	128	15	,	,	PUNCT
cana-5263	128	16	and	and	CCONJ
cana-5263	128	17	m.	m.	PROPN
cana-5263	128	18	k.	k.	PROPN
cana-5263	128	19	dutta	dutta	PROPN
cana-5263	128	20	,	,	PUNCT
cana-5263	128	21	‘	'	PUNCT
cana-5263	128	22	‘	'	PUNCT
cana-5263	128	23	identification	identification	NOUN
cana-5263	128	24	of	of	ADP
cana-5263	128	25	disease	disease	NOUN
cana-5263	128	26	using	use	VERB
cana-5263	128	27	deep	deep	ADJ
cana-5263	128	28	learning	learning	NOUN
cana-5263	128	29	and	and	CCONJ
cana-5263	128	30	evaluation	evaluation	NOUN
cana-5263	128	31	of	of	ADP
cana-5263	128	32	bacteriosis	bacteriosis	NOUN
cana-5263	128	33	in	in	ADP
cana-5263	128	34	peach	peach	NOUN
cana-5263	128	35	leaf	leaf	NOUN
cana-5263	128	36	,	,	PUNCT
cana-5263	128	37	’’	’'	PUNCT
cana-5263	128	38	ecolog	ecolog	NOUN
cana-5263	128	39	.	.	PUNCT
cana-5263	129	1	informat	informat	PROPN
cana-5263	129	2	.	.	PUNCT
cana-5263	129	3	,	,	PUNCT
cana-5263	129	4	vol	vol	NOUN
cana-5263	129	5	.	.	PROPN
cana-5263	129	6	61	61	NUM
cana-5263	129	7	,	,	PUNCT
cana-5263	129	8	mar	mar	PROPN
cana-5263	129	9	.	.	PROPN
cana-5263	129	10	2021	2021	NUM
cana-5263	129	11	,	,	PUNCT
cana-5263	129	12	art	art	NOUN
cana-5263	129	13	.	.	PUNCT
cana-5263	130	1	no	no	INTJ
cana-5263	130	2	.	.	NOUN
cana-5263	130	3	101247	101247	NUM
cana-5263	130	4	.	.	PUNCT
cana-5263	131	1	[	[	X
cana-5263	131	2	11	11	NUM
cana-5263	131	3	]	]	X
cana-5263	131	4	y.	y.	PROPN
cana-5263	131	5	zhao	zhao	PROPN
cana-5263	131	6	,	,	PUNCT
cana-5263	131	7	c.	c.	PROPN
cana-5263	131	8	sun	sun	PROPN
cana-5263	131	9	,	,	PUNCT
cana-5263	131	10	x.	x.	PROPN
cana-5263	131	11	xu	xu	PROPN
cana-5263	131	12	,	,	PUNCT
cana-5263	131	13	and	and	CCONJ
cana-5263	131	14	j.	j.	PROPN
cana-5263	131	15	chen	chen	PROPN
cana-5263	131	16	,	,	PUNCT
cana-5263	131	17	‘	'	PUNCT
cana-5263	131	18	‘	'	PUNCT
cana-5263	131	19	ric	ric	ADJ
cana-5263	131	20	-	-	PUNCT
cana-5263	131	21	net	net	NOUN
cana-5263	131	22	:	:	PUNCT
cana-5263	131	23	a	a	DET
cana-5263	131	24	plant	plant	NOUN
cana-5263	131	25	disease	disease	NOUN
cana-5263	131	26	classification	classification	NOUN
cana-5263	131	27	model	model	NOUN
cana-5263	131	28	based	base	VERB
cana-5263	131	29	on	on	ADP
cana-5263	131	30	the	the	DET
cana-5263	131	31	fusion	fusion	NOUN
cana-5263	131	32	of	of	ADP
cana-5263	131	33	inception	inception	ADJ
cana-5263	131	34	and	and	CCONJ
cana-5263	131	35	residual	residual	ADJ
cana-5263	131	36	structure	structure	NOUN
cana-5263	131	37	and	and	CCONJ
cana-5263	131	38	embedded	embed	VERB
cana-5263	131	39	attention	attention	NOUN
cana-5263	131	40	mechanism	mechanism	NOUN
cana-5263	131	41	,	,	PUNCT
cana-5263	131	42	’’	’'	PUNCT
cana-5263	131	43	comput	comput	NOUN
cana-5263	131	44	.	.	PUNCT
cana-5263	131	45	electron	electron	PROPN
cana-5263	131	46	.	.	PUNCT
cana-5263	131	47	agricult	agricult	PROPN
cana-5263	131	48	.	.	PUNCT
cana-5263	132	1	,	,	PUNCT
cana-5263	132	2	vol	vol	NOUN
cana-5263	132	3	.	.	PROPN
cana-5263	132	4	193	193	NUM
cana-5263	132	5	,	,	PUNCT
cana-5263	132	6	feb	feb	PROPN
cana-5263	132	7	.	.	PROPN
cana-5263	132	8	2022	2022	NUM
cana-5263	132	9	,	,	PUNCT
cana-5263	132	10	art	art	NOUN
cana-5263	132	11	.	.	PUNCT
cana-5263	133	1	no	no	INTJ
cana-5263	133	2	.	.	NOUN
cana-5263	133	3	106644	106644	NUM
cana-5263	133	4	,	,	PUNCT
cana-5263	133	5	doi	doi	NOUN
cana-5263	133	6	:	:	PUNCT
cana-5263	133	7	10.1016	10.1016	NUM
cana-5263	133	8	/	/	SYM
cana-5263	133	9	j.compag.2021.106644	j.compag.2021.106644	NOUN
cana-5263	133	10	.	.	PUNCT
cana-5263	134	1	[	[	X
cana-5263	134	2	12	12	NUM
cana-5263	134	3	]	]	PUNCT
cana-5263	134	4	r.	r.	PROPN
cana-5263	134	5	maurya	maurya	PROPN
cana-5263	134	6	,	,	PUNCT
cana-5263	134	7	r.	r.	PROPN
cana-5263	134	8	burget	burget	PROPN
cana-5263	134	9	,	,	PUNCT
cana-5263	134	10	r.	r.	PROPN
cana-5263	134	11	shaurya	shaurya	PROPN
cana-5263	134	12	,	,	PUNCT
cana-5263	134	13	m.	m.	NOUN
cana-5263	134	14	kiac	kiac	NOUN
cana-5263	134	15	,	,	PUNCT
cana-5263	134	16	and	and	CCONJ
cana-5263	134	17	m.	m.	PROPN
cana-5263	134	18	k.	k.	PROPN
cana-5263	134	19	dutta	dutta	PROPN
cana-5263	134	20	,	,	PUNCT
cana-5263	134	21	‘	'	PUNCT
cana-5263	134	22	‘	'	PUNCT
cana-5263	134	23	multi	multi	ADJ
cana-5263	134	24	-	-	ADJ
cana-5263	134	25	head	head	ADJ
cana-5263	134	26	attention	attention	NOUN
cana-5263	134	27	-	-	PUNCT
cana-5263	134	28	based	base	VERB
cana-5263	134	29	transfer	transfer	NOUN
cana-5263	134	30	learning	learn	VERB
cana-5263	134	31	approach	approach	NOUN
cana-5263	134	32	for	for	ADP
cana-5263	134	33	porato	porato	PROPN
cana-5263	134	34	disease	disease	NOUN
cana-5263	134	35	detection	detection	NOUN
cana-5263	134	36	,	,	PUNCT
cana-5263	134	37	’’	’'	PUNCT
cana-5263	134	38	in	in	ADP
cana-5263	134	39	proc	proc	NOUN
cana-5263	134	40	.	.	PUNCT
cana-5263	135	1	15th	15th	ADJ
cana-5263	135	2	int	int	NOUN
cana-5263	135	3	.	.	PUNCT
cana-5263	136	1	congr	congr	NOUN
cana-5263	136	2	.	.	PUNCT
cana-5263	137	1	ultra	ultra	ADJ
cana-5263	137	2	modern	modern	ADJ
cana-5263	137	3	telecommun	telecommun	NOUN
cana-5263	137	4	.	.	PUNCT
cana-5263	138	1	control	control	PROPN
cana-5263	138	2	syst	syst	PROPN
cana-5263	138	3	.	.	PUNCT
cana-5263	139	1	workshops	workshop	NOUN
cana-5263	139	2	(	(	PUNCT
cana-5263	139	3	icumt	icumt	ADJ
cana-5263	139	4	)	)	PUNCT
cana-5263	139	5	,	,	PUNCT
cana-5263	139	6	oct	oct	PROPN
cana-5263	139	7	.	.	PROPN
cana-5263	139	8	2023	2023	NUM
cana-5263	139	9	,	,	PUNCT
cana-5263	139	10	pp	pp	ADJ
cana-5263	139	11	.	.	PUNCT
cana-5263	140	1	165–169	165–169	NUM
cana-5263	140	2	,	,	PUNCT
cana-5263	140	3	doi:10.1109	doi:10.1109	VERB
cana-5263	140	4	/	/	SYM
cana-5263	140	5	icumt61075.2023.10333272	icumt61075.2023.10333272	PROPN
cana-5263	140	6	.	.	PUNCT
cana-5263	141	1	communications	communication	NOUN
cana-5263	141	2	on	on	ADP
cana-5263	141	3	applied	apply	VERB
cana-5263	141	4	nonlinear	nonlinear	ADJ
cana-5263	141	5	analysis	analysis	NOUN
cana-5263	141	6	issn	issn	NOUN
cana-5263	141	7	:	:	PUNCT
cana-5263	141	8	1074	1074	NUM
cana-5263	141	9	-	-	PUNCT
cana-5263	141	10	133x	133x	NUM
cana-5263	141	11	vol	vol	VERB
cana-5263	141	12	32	32	NUM
cana-5263	141	13	no	no	NOUN
cana-5263	141	14	.	.	PUNCT
cana-5263	142	1	10s	10	NOUN
cana-5263	142	2	(	(	PUNCT
cana-5263	142	3	2025	2025	NUM
cana-5263	142	4	)	)	PUNCT
cana-5263	142	5	1613	1613	NUM
cana-5263	142	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5263	143	1	[	[	X
cana-5263	143	2	13	13	NUM
cana-5263	143	3	]	]	PUNCT
cana-5263	143	4	x.	x.	PROPN
cana-5263	143	5	chen	chen	PROPN
cana-5263	143	6	,	,	PUNCT
cana-5263	143	7	g.	g.	PROPN
cana-5263	143	8	zhou	zhou	PROPN
cana-5263	143	9	,	,	PUNCT
cana-5263	143	10	a.	a.	PROPN
cana-5263	143	11	chen	chen	PROPN
cana-5263	143	12	,	,	PUNCT
cana-5263	143	13	j.	j.	PROPN
cana-5263	143	14	yi	yi	PROPN
cana-5263	143	15	,	,	PUNCT
cana-5263	143	16	w.	w.	PROPN
cana-5263	143	17	zhang	zhang	PROPN
cana-5263	143	18	,	,	PUNCT
cana-5263	143	19	and	and	CCONJ
cana-5263	143	20	y.	y.	PROPN
cana-5263	143	21	hu	hu	PROPN
cana-5263	143	22	,	,	PUNCT
cana-5263	143	23	‘	'	PUNCT
cana-5263	143	24	‘	'	PUNCT
cana-5263	143	25	identification	identification	NOUN
cana-5263	143	26	of	of	ADP
cana-5263	143	27	tomato	tomato	NOUN
cana-5263	143	28	leaf	leaf	NOUN
cana-5263	143	29	diseases	disease	NOUN
cana-5263	143	30	based	base	VERB
cana-5263	143	31	on	on	ADP
cana-5263	143	32	combination	combination	NOUN
cana-5263	143	33	of	of	ADP
cana-5263	143	34	abck	abck	NOUN
cana-5263	143	35	-	-	PUNCT
cana-5263	143	36	bwtr	bwtr	NOUN
cana-5263	143	37	and	and	CCONJ
cana-5263	143	38	b	b	NOUN
cana-5263	143	39	-	-	PUNCT
cana-5263	143	40	arnet	arnet	NOUN
cana-5263	143	41	,	,	PUNCT
cana-5263	143	42	’’	’'	PUNCT
cana-5263	143	43	comput	comput	NOUN
cana-5263	143	44	.	.	PUNCT
cana-5263	144	1	electron	electron	PROPN
cana-5263	144	2	.	.	PUNCT
cana-5263	144	3	agricult	agricult	PROPN
cana-5263	144	4	.	.	PUNCT
cana-5263	145	1	,	,	PUNCT
cana-5263	145	2	vol	vol	NOUN
cana-5263	145	3	.	.	PROPN
cana-5263	145	4	178	178	NUM
cana-5263	145	5	,	,	PUNCT
cana-5263	145	6	nov	nov	PROPN
cana-5263	145	7	.	.	PROPN
cana-5263	145	8	2020	2020	NUM
cana-5263	145	9	,	,	PUNCT
cana-5263	145	10	art	art	NOUN
cana-5263	145	11	.	.	PUNCT
cana-5263	146	1	no	no	INTJ
cana-5263	146	2	.	.	NOUN
cana-5263	147	1	105730	105730	NUM
cana-5263	147	2	.	.	PUNCT
cana-5263	148	1	[	[	X
cana-5263	148	2	14	14	NUM
cana-5263	148	3	]	]	SYM
cana-5263	148	4	tolstikhin	tolstikhin	ADV
cana-5263	148	5	,	,	PUNCT
cana-5263	148	6	n.	n.	PROPN
cana-5263	148	7	houlsby	houlsby	PROPN
cana-5263	148	8	,	,	PUNCT
cana-5263	148	9	a.	a.	PROPN
cana-5263	148	10	kolesnikov	kolesnikov	PROPN
cana-5263	148	11	,	,	PUNCT
cana-5263	148	12	l.	l.	PROPN
cana-5263	148	13	beyer	beyer	PROPN
cana-5263	148	14	,	,	PUNCT
cana-5263	148	15	x.	x.	PROPN
cana-5263	148	16	zhai	zhai	PROPN
cana-5263	148	17	,	,	PUNCT
cana-5263	148	18	t.	t.	PROPN
cana-5263	148	19	unterthiner	unterthiner	PROPN
cana-5263	148	20	,	,	PUNCT
cana-5263	148	21	j.	j.	PROPN
cana-5263	148	22	yung	yung	PROPN
cana-5263	148	23	,	,	PUNCT
cana-5263	148	24	a.	a.	NOUN
cana-5263	148	25	steiner	steiner	PROPN
cana-5263	148	26	,	,	PUNCT
cana-5263	148	27	d.	d.	PROPN
cana-5263	148	28	keysers	keysers	PROPN
cana-5263	148	29	,	,	PUNCT
cana-5263	148	30	j.	j.	PROPN
cana-5263	148	31	uszkoreit	uszkoreit	PROPN
cana-5263	148	32	,	,	PUNCT
cana-5263	148	33	m.	m.	NOUN
cana-5263	148	34	lucic	lucic	PROPN
cana-5263	148	35	,	,	PUNCT
cana-5263	148	36	and	and	CCONJ
cana-5263	148	37	a.	a.	NOUN
cana-5263	148	38	dosovitskiy	dosovitskiy	NOUN
cana-5263	148	39	,	,	PUNCT
cana-5263	148	40	‘	'	PUNCT
cana-5263	148	41	‘	'	PUNCT
cana-5263	148	42	mlp	mlp	NOUN
cana-5263	148	43	-	-	PUNCT
cana-5263	148	44	mixer	mixer	NOUN
cana-5263	148	45	:	:	PUNCT
cana-5263	148	46	an	an	DET
cana-5263	148	47	all	all	ADV
cana-5263	148	48	-	-	PUNCT
cana-5263	148	49	mlp	mlp	NOUN
cana-5263	148	50	architecture	architecture	NOUN
cana-5263	148	51	for	for	ADP
cana-5263	148	52	vision	vision	NOUN
cana-5263	148	53	,	,	PUNCT
cana-5263	148	54	’’	’'	PUNCT
cana-5263	148	55	2021	2021	NUM
cana-5263	148	56	,	,	PUNCT
cana-5263	148	57	arxiv:2105.01601	arxiv:2105.01601	NUM
cana-5263	148	58	.	.	PUNCT
cana-5263	149	1	[	[	X
cana-5263	149	2	15	15	NUM
cana-5263	149	3	]	]	X
cana-5263	149	4	pandey	pandey	PROPN
cana-5263	149	5	and	and	CCONJ
cana-5263	149	6	k.	k.	PROPN
cana-5263	149	7	jain	jain	PROPN
cana-5263	149	8	,	,	PUNCT
cana-5263	149	9	‘	'	PUNCT
cana-5263	149	10	‘	'	PUNCT
cana-5263	149	11	a	a	DET
cana-5263	149	12	robust	robust	ADJ
cana-5263	149	13	deep	deep	ADJ
cana-5263	149	14	attention	attention	NOUN
cana-5263	149	15	dense	dense	ADJ
cana-5263	149	16	convolutional	convolutional	ADJ
cana-5263	149	17	neural	neural	ADJ
cana-5263	149	18	network	network	NOUN
cana-5263	149	19	for	for	ADP
cana-5263	149	20	plant	plant	NOUN
cana-5263	149	21	leaf	leaf	NOUN
cana-5263	149	22	disease	disease	NOUN
cana-5263	149	23	identification	identification	NOUN
cana-5263	149	24	and	and	CCONJ
cana-5263	149	25	classification	classification	NOUN
cana-5263	149	26	from	from	ADP
cana-5263	149	27	smart	smart	ADJ
cana-5263	149	28	phone	phone	NOUN
cana-5263	149	29	captured	capture	VERB
cana-5263	149	30	real	real	ADJ
cana-5263	149	31	world	world	NOUN
cana-5263	149	32	images	image	NOUN
cana-5263	149	33	,	,	PUNCT
cana-5263	149	34	’’	’'	PUNCT
cana-5263	149	35	ecolog	ecolog	NOUN
cana-5263	149	36	.	.	PUNCT
cana-5263	150	1	informat	informat	PROPN
cana-5263	150	2	.	.	PUNCT
cana-5263	150	3	,	,	PUNCT
cana-5263	150	4	vol	vol	NOUN
cana-5263	150	5	.	.	PROPN
cana-5263	150	6	70	70	NUM
cana-5263	150	7	,	,	PUNCT
cana-5263	150	8	sep	sep	PROPN
cana-5263	150	9	.	.	PROPN
cana-5263	150	10	2022	2022	NUM
cana-5263	150	11	,	,	PUNCT
cana-5263	150	12	art	art	NOUN
cana-5263	150	13	.	.	PUNCT
cana-5263	151	1	no	no	INTJ
cana-5263	151	2	.	.	NOUN
cana-5263	152	1	101725	101725	NUM
cana-5263	152	2	,	,	PUNCT
cana-5263	152	3	doi	doi	NOUN
cana-5263	152	4	:	:	PUNCT
cana-5263	152	5	10.1016	10.1016	NUM
cana-5263	152	6	/	/	SYM
cana-5263	152	7	j.ecoinf.2022.101725	j.ecoinf.2022.101725	ADJ
cana-5263	152	8	.	.	PUNCT
cana-5263	153	1	[	[	X
cana-5263	153	2	16	16	NUM
cana-5263	153	3	]	]	PUNCT
cana-5263	153	4	p.	p.	PROPN
cana-5263	153	5	bedi	bedi	PROPN
cana-5263	153	6	and	and	CCONJ
cana-5263	153	7	p.	p.	PROPN
cana-5263	153	8	gole	gole	PROPN
cana-5263	153	9	,	,	PUNCT
cana-5263	153	10	‘	'	PUNCT
cana-5263	153	11	‘	'	PUNCT
cana-5263	153	12	plant	plant	NOUN
cana-5263	153	13	disease	disease	NOUN
cana-5263	153	14	detection	detection	NOUN
cana-5263	153	15	using	use	VERB
cana-5263	153	16	hybrid	hybrid	ADJ
cana-5263	153	17	model	model	NOUN
cana-5263	153	18	based	base	VERB
cana-5263	153	19	on	on	ADP
cana-5263	153	20	convolutional	convolutional	ADJ
cana-5263	153	21	autoencoder	autoencoder	NOUN
cana-5263	153	22	and	and	CCONJ
cana-5263	153	23	convolutional	convolutional	ADJ
cana-5263	153	24	neural	neural	ADJ
cana-5263	153	25	network	network	NOUN
cana-5263	153	26	,	,	PUNCT
cana-5263	153	27	’’	’'	PUNCT
cana-5263	153	28	artif	artif	NOUN
cana-5263	153	29	.	.	PUNCT
cana-5263	154	1	intell	intell	PROPN
cana-5263	154	2	.	.	PUNCT
cana-5263	155	1	agricult	agricult	PROPN
cana-5263	155	2	.	.	PUNCT
cana-5263	156	1	,	,	PUNCT
cana-5263	156	2	vol	vol	NOUN
cana-5263	156	3	.	.	PROPN
cana-5263	156	4	5	5	NUM
cana-5263	156	5	,	,	PUNCT
cana-5263	156	6	pp	pp	ADJ
cana-5263	156	7	.	.	PUNCT
cana-5263	157	1	90–101	90–101	NUM
cana-5263	157	2	,	,	PUNCT
cana-5263	157	3	jan	jan	PROPN
cana-5263	157	4	.	.	PROPN
cana-5263	157	5	2021	2021	NUM
cana-5263	157	6	.	.	PUNCT
cana-5263	158	1	[	[	X
cana-5263	158	2	17	17	NUM
cana-5263	158	3	]	]	PUNCT
cana-5263	158	4	identity	identity	NOUN
cana-5263	158	5	based	base	VERB
cana-5263	158	6	authentication	authentication	NOUN
cana-5263	158	7	scheme	scheme	NOUN
cana-5263	158	8	(	(	PUNCT
cana-5263	158	9	ias	ias	PROPN
cana-5263	158	10	)	)	PUNCT
cana-5263	158	11	for	for	ADP
cana-5263	158	12	securing	secure	VERB
cana-5263	158	13	wsn	wsn	PROPN
cana-5263	158	14	based	base	VERB
cana-5263	158	15	internet	internet	NOUN
cana-5263	158	16	of	of	ADP
cana-5263	158	17	things	thing	NOUN
cana-5263	158	18	(	(	PUNCT
cana-5263	158	19	journal	journal	NOUN
cana-5263	158	20	of	of	ADP
cana-5263	158	21	electrical	electrical	ADJ
cana-5263	158	22	systems	system	NOUN
cana-5263	158	23	)	)	PUNCT
cana-5263	158	24	pp	pp	ADV
cana-5263	158	25	.	.	PUNCT
cana-5263	159	1	vol	vol	NOUN
cana-5263	159	2	20	20	NUM
cana-5263	159	3	n0	n0	NUM
cana-5263	159	4	.	.	PUNCT
cana-5263	160	1	2s(2024	2s(2024	NUM
cana-5263	160	2	)	)	PUNCT
cana-5263	160	3	(	(	PUNCT
cana-5263	160	4	april	april	PROPN
cana-5263	160	5	2024	2024	NUM
cana-5263	160	6	)	)	PUNCT
cana-5263	160	7	issn	issn	PROPN
cana-5263	160	8	1112	1112	NUM
cana-5263	160	9	-	-	SYM
cana-5263	160	10	5209	5209	NUM
cana-5263	160	11	https://journal.esrgroups.org/jes/article/view/1794	https://journal.esrgroups.org/jes/article/view/1794	PROPN
cana-5263	161	1	[	[	X
cana-5263	161	2	18	18	NUM
cana-5263	161	3	]	]	PUNCT
cana-5263	161	4	the	the	DET
cana-5263	161	5	impact	impact	NOUN
cana-5263	161	6	of	of	ADP
cana-5263	161	7	qos	qos	NOUN
cana-5263	161	8	parameters	parameter	NOUN
cana-5263	161	9	on	on	ADP
cana-5263	161	10	the	the	DET
cana-5263	161	11	performance	performance	NOUN
cana-5263	161	12	of	of	ADP
cana-5263	161	13	iot	iot	ADJ
cana-5263	161	14	application	application	NOUN
cana-5263	161	15	.	.	PUNCT
cana-5263	162	1	international	international	ADJ
cana-5263	162	2	journal	journal	NOUN
cana-5263	162	3	of	of	ADP
cana-5263	162	4	intelligent	intelligent	ADJ
cana-5263	162	5	system	system	NOUN
cana-5263	162	6	and	and	CCONJ
cana-5263	162	7	application	application	NOUN
cana-5263	162	8	in	in	ADP
cana-5263	162	9	engineering	engineering	NOUN
cana-5263	162	10	.	.	PUNCT
cana-5263	163	1	(	(	PUNCT
cana-5263	163	2	ijisae	ijisae	PROPN
cana-5263	163	3	)	)	PUNCT
cana-5263	163	4	volume	volume	NOUN
cana-5263	163	5	-12	-12	PROPN
cana-5263	163	6	no3	no3	PROPN
cana-5263	163	7	pp	pp	PROPN
cana-5263	163	8	(	(	PUNCT
cana-5263	163	9	15	15	NUM
cana-5263	163	10	march	march	NOUN
cana-5263	163	11	2024	2024	NUM
cana-5263	163	12	)	)	PUNCT
cana-5263	163	13	issn	issn	PROPN
cana-5263	163	14	2147	2147	NUM
cana-5263	163	15	-	-	SYM
cana-5263	163	16	6799	6799	NUM
cana-5263	163	17	https://ijisae.org/index.php/ijisae/article/view/6155	https://ijisae.org/index.php/ijisae/article/view/6155	NOUN
cana-5263	164	1	[	[	X
cana-5263	164	2	19	19	NUM
cana-5263	164	3	]	]	X
cana-5263	164	4	the	the	DET
cana-5263	164	5	impact	impact	NOUN
cana-5263	164	6	of	of	ADP
cana-5263	164	7	quality	quality	NOUN
cana-5263	164	8	of	of	ADP
cana-5263	164	9	service	service	NOUN
cana-5263	164	10	(	(	PUNCT
cana-5263	164	11	qos	qos	PROPN
cana-5263	164	12	)	)	PUNCT
cana-5263	164	13	parameters	parameter	NOUN
cana-5263	164	14	on	on	ADP
cana-5263	164	15	iot	iot	ADJ
cana-5263	164	16	application	application	NOUN
cana-5263	164	17	performance	performance	NOUN
cana-5263	164	18	volume	volume	NOUN
cana-5263	164	19	3	3	NUM
cana-5263	164	20	,	,	PUNCT
cana-5263	164	21	issue	issue	NOUN
cana-5263	164	22	3	3	NUM
cana-5263	164	23	,	,	PUNCT
cana-5263	164	24	2024	2024	NUM
cana-5263	164	25	,	,	PUNCT
cana-5263	164	26	pp	pp	ADV
cana-5263	164	27	1	1	NUM
cana-5263	164	28	-	-	SYM
cana-5263	164	29	20	20	NUM
cana-5263	164	30	,	,	PUNCT
cana-5263	164	31	issn	issn	PROPN
cana-5263	164	32	2583	2583	NUM
cana-5263	164	33	-	-	SYM
cana-5263	164	34	6196	6196	NUM
cana-5263	164	35	https://journal.inence.org/index.php/ijfiahm/article/view/363/263	https://journal.inence.org/index.php/ijfiahm/article/view/363/263	PROPN
cana-5263	164	36	https://journal.esrgroups.org/jes/article/view/1794	https://journal.esrgroups.org/jes/article/view/1794	PROPN
cana-5263	164	37	https://ijisae.org/index.php/ijisae/article/view/6155	https://ijisae.org/index.php/ijisae/article/view/6155	X
cana-5263	164	38	https://journal.inence.org/index.php/ijfiahm/article/view/363/263	https://journal.inence.org/index.php/ijfiahm/article/view/363/263	ADV