id	sid	tid	token	lemma	pos
cana-2634	1	1	communications	communication	NOUN
cana-2634	1	2	on	on	ADP
cana-2634	1	3	applied	apply	VERB
cana-2634	1	4	nonlinear	nonlinear	ADJ
cana-2634	1	5	analysis	analysis	NOUN
cana-2634	1	6	issn	issn	NOUN
cana-2634	1	7	:	:	PUNCT
cana-2634	1	8	1074	1074	NUM
cana-2634	1	9	-	-	PUNCT
cana-2634	1	10	133x	133x	NUM
cana-2634	1	11	vol	vol	NOUN
cana-2634	1	12	32	32	NUM
cana-2634	1	13	no	no	NOUN
cana-2634	1	14	.	.	PUNCT
cana-2634	2	1	3s	3s	NUM
cana-2634	2	2	(	(	PUNCT
cana-2634	2	3	2025	2025	NUM
cana-2634	2	4	)	)	PUNCT
cana-2634	2	5	231	231	NUM
cana-2634	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	2	7	elevating	elevate	VERB
cana-2634	2	8	crop	crop	NOUN
cana-2634	2	9	quality	quality	NOUN
cana-2634	2	10	:	:	PUNCT
cana-2634	2	11	ai	ai	VERB
cana-2634	2	12	neural	neural	ADJ
cana-2634	2	13	networks	network	NOUN
cana-2634	2	14	for	for	ADP
cana-2634	2	15	advanced	advanced	ADJ
cana-2634	2	16	plant	plant	NOUN
cana-2634	2	17	disease	disease	NOUN
cana-2634	2	18	management	management	NOUN
cana-2634	2	19	and	and	CCONJ
cana-2634	2	20	enhanced	enhance	VERB
cana-2634	2	21	food	food	NOUN
cana-2634	2	22	security	security	NOUN
cana-2634	2	23	1boyapati	1boyapati	NUM
cana-2634	2	24	sahithi	sahithi	NOUN
cana-2634	2	25	,	,	PUNCT
cana-2634	2	26	2s	2s	PROPN
cana-2634	2	27	.	.	PUNCT
cana-2634	2	28	vigneshwari	vigneshwari	PROPN
cana-2634	2	29	1research	1research	NUM
cana-2634	2	30	scholar	scholar	NOUN
cana-2634	2	31	,	,	PUNCT
cana-2634	2	32	department	department	NOUN
cana-2634	2	33	of	of	ADP
cana-2634	2	34	computer	computer	NOUN
cana-2634	2	35	science	science	NOUN
cana-2634	2	36	and	and	CCONJ
cana-2634	2	37	engineering	engineering	NOUN
cana-2634	2	38	,	,	PUNCT
cana-2634	2	39	sathyabama	sathyabama	PROPN
cana-2634	2	40	institute	institute	PROPN
cana-2634	2	41	of	of	ADP
cana-2634	2	42	science	science	NOUN
cana-2634	2	43	and	and	CCONJ
cana-2634	2	44	technology	technology	NOUN
cana-2634	2	45	,	,	PUNCT
cana-2634	2	46	chennai	chennai	PROPN
cana-2634	2	47	,	,	PUNCT
cana-2634	2	48	india	india	PROPN
cana-2634	2	49	sahithi1291@gmail.com	sahithi1291@gmail.com	PROPN
cana-2634	3	1	2professor	2professor	NUM
cana-2634	3	2	,	,	PUNCT
cana-2634	3	3	department	department	NOUN
cana-2634	3	4	of	of	ADP
cana-2634	3	5	computer	computer	NOUN
cana-2634	3	6	science	science	NOUN
cana-2634	3	7	and	and	CCONJ
cana-2634	3	8	engineering	engineering	NOUN
cana-2634	3	9	,	,	PUNCT
cana-2634	3	10	sathyabama	sathyabama	PROPN
cana-2634	3	11	institute	institute	PROPN
cana-2634	3	12	of	of	ADP
cana-2634	3	13	science	science	NOUN
cana-2634	3	14	and	and	CCONJ
cana-2634	3	15	technology	technology	NOUN
cana-2634	3	16	,	,	PUNCT
cana-2634	3	17	chennai	chennai	PROPN
cana-2634	3	18	,	,	PUNCT
cana-2634	3	19	india	india	PROPN
cana-2634	3	20	vigneshwari.cse@sathyabama.ac.in	vigneshwari.cse@sathyabama.ac.in	PROPN
cana-2634	3	21	article	article	NOUN
cana-2634	3	22	history	history	NOUN
cana-2634	3	23	:	:	PUNCT
cana-2634	3	24	received	receive	VERB
cana-2634	3	25	:	:	PUNCT
cana-2634	3	26	24	24	NUM
cana-2634	3	27	-	-	PUNCT
cana-2634	3	28	09	09	NUM
cana-2634	3	29	-	-	PUNCT
cana-2634	3	30	2024	2024	NUM
cana-2634	3	31	revised	revise	VERB
cana-2634	3	32	:	:	PUNCT
cana-2634	3	33	04	04	NUM
cana-2634	3	34	-	-	SYM
cana-2634	3	35	11	11	NUM
cana-2634	3	36	-	-	PUNCT
cana-2634	3	37	2024	2024	NUM
cana-2634	3	38	accepted	accept	VERB
cana-2634	3	39	:	:	PUNCT
cana-2634	3	40	19	19	NUM
cana-2634	3	41	-	-	SYM
cana-2634	3	42	11	11	NUM
cana-2634	3	43	-	-	PUNCT
cana-2634	3	44	2024	2024	NUM
cana-2634	3	45	abstract	abstract	NOUN
cana-2634	3	46	:	:	PUNCT
cana-2634	3	47	the	the	DET
cana-2634	3	48	present	present	ADJ
cana-2634	3	49	research	research	NOUN
cana-2634	3	50	has	have	AUX
cana-2634	3	51	gone	go	VERB
cana-2634	3	52	further	far	ADV
cana-2634	3	53	into	into	ADP
cana-2634	3	54	diagnosing	diagnose	VERB
cana-2634	3	55	plant	plant	NOUN
cana-2634	3	56	diseases	disease	NOUN
cana-2634	3	57	by	by	ADP
cana-2634	3	58	implementing	implement	VERB
cana-2634	3	59	spectral	spectral	ADJ
cana-2634	3	60	imaging	imaging	NOUN
cana-2634	3	61	with	with	ADP
cana-2634	3	62	the	the	DET
cana-2634	3	63	help	help	NOUN
cana-2634	3	64	of	of	ADP
cana-2634	3	65	convolutional	convolutional	ADJ
cana-2634	3	66	neural	neural	ADJ
cana-2634	3	67	networks	network	NOUN
cana-2634	3	68	.	.	PUNCT
cana-2634	4	1	therefore	therefore	ADV
cana-2634	4	2	,	,	PUNCT
cana-2634	4	3	it	it	PRON
cana-2634	4	4	is	be	AUX
cana-2634	4	5	a	a	DET
cana-2634	4	6	step	step	NOUN
cana-2634	4	7	beyond	beyond	ADP
cana-2634	4	8	traditional	traditional	ADJ
cana-2634	4	9	rgb	rgb	PROPN
cana-2634	4	10	imaging	imaging	NOUN
cana-2634	4	11	and	and	CCONJ
cana-2634	4	12	utilizes	utilize	VERB
cana-2634	4	13	the	the	DET
cana-2634	4	14	captured	capture	VERB
cana-2634	4	15	spectral	spectral	ADJ
cana-2634	4	16	data	datum	NOUN
cana-2634	4	17	of	of	ADP
cana-2634	4	18	the	the	DET
cana-2634	4	19	infrared	infrared	NOUN
cana-2634	4	20	and	and	CCONJ
cana-2634	4	21	ultraviolet	ultraviolet	ADJ
cana-2634	4	22	spectra	spectra	NOUN
cana-2634	4	23	for	for	ADP
cana-2634	4	24	the	the	DET
cana-2634	4	25	nascence	nascence	NOUN
cana-2634	4	26	and	and	CCONJ
cana-2634	4	27	sub	sub	ADJ
cana-2634	4	28	-	-	ADJ
cana-2634	4	29	clinical	clinical	ADJ
cana-2634	4	30	level	level	NOUN
cana-2634	4	31	detection	detection	NOUN
cana-2634	4	32	of	of	ADP
cana-2634	4	33	plant	plant	NOUN
cana-2634	4	34	diseases	disease	NOUN
cana-2634	4	35	.	.	PUNCT
cana-2634	5	1	toward	toward	ADP
cana-2634	5	2	this	this	DET
cana-2634	5	3	end	end	NOUN
cana-2634	5	4	,	,	PUNCT
cana-2634	5	5	cnn	cnn	PROPN
cana-2634	5	6	models	model	NOUN
cana-2634	5	7	such	such	ADJ
cana-2634	5	8	as	as	ADP
cana-2634	5	9	vgg16	vgg16	PROPN
cana-2634	5	10	,	,	PUNCT
cana-2634	5	11	efficient	efficient	ADJ
cana-2634	5	12	net	net	NOUN
cana-2634	5	13	,	,	PUNCT
cana-2634	5	14	inception	inception	NOUN
cana-2634	5	15	v6	v6	NOUN
cana-2634	5	16	,	,	PUNCT
cana-2634	5	17	and	and	CCONJ
cana-2634	5	18	resnet-34	resnet-34	PROPN
cana-2634	5	19	were	be	AUX
cana-2634	5	20	retuned	retune	VERB
cana-2634	5	21	in	in	ADP
cana-2634	5	22	such	such	DET
cana-2634	5	23	a	a	DET
cana-2634	5	24	manner	manner	NOUN
cana-2634	5	25	that	that	SCONJ
cana-2634	5	26	they	they	PRON
cana-2634	5	27	could	could	AUX
cana-2634	5	28	process	process	VERB
cana-2634	5	29	this	this	DET
cana-2634	5	30	heterogeneous	heterogeneous	ADJ
cana-2634	5	31	dataset	dataset	NOUN
cana-2634	5	32	to	to	PART
cana-2634	5	33	enhance	enhance	VERB
cana-2634	5	34	the	the	DET
cana-2634	5	35	level	level	NOUN
cana-2634	5	36	of	of	ADP
cana-2634	5	37	diagnostic	diagnostic	ADJ
cana-2634	5	38	precision	precision	NOUN
cana-2634	5	39	that	that	PRON
cana-2634	5	40	can	can	AUX
cana-2634	5	41	be	be	AUX
cana-2634	5	42	achieved	achieve	VERB
cana-2634	5	43	using	use	VERB
cana-2634	5	44	standard	standard	ADJ
cana-2634	5	45	approaches	approach	NOUN
cana-2634	5	46	.	.	PUNCT
cana-2634	6	1	hence	hence	ADV
cana-2634	6	2	,	,	PUNCT
cana-2634	6	3	through	through	ADP
cana-2634	6	4	this	this	DET
cana-2634	6	5	retuning	retuning	NOUN
cana-2634	6	6	,	,	PUNCT
cana-2634	6	7	it	it	PRON
cana-2634	6	8	was	be	AUX
cana-2634	6	9	established	establish	VERB
cana-2634	6	10	how	how	SCONJ
cana-2634	6	11	the	the	DET
cana-2634	6	12	proposed	propose	VERB
cana-2634	6	13	system	system	NOUN
cana-2634	6	14	improves	improve	VERB
cana-2634	6	15	the	the	DET
cana-2634	6	16	performance	performance	NOUN
cana-2634	6	17	of	of	ADP
cana-2634	6	18	these	these	DET
cana-2634	6	19	models	model	NOUN
cana-2634	6	20	in	in	ADP
cana-2634	6	21	all	all	DET
cana-2634	6	22	aspects	aspect	NOUN
cana-2634	6	23	,	,	PUNCT
cana-2634	6	24	with	with	ADP
cana-2634	6	25	particular	particular	ADJ
cana-2634	6	26	peaks	peak	NOUN
cana-2634	6	27	through	through	ADP
cana-2634	6	28	the	the	DET
cana-2634	6	29	efficient	efficient	ADJ
cana-2634	6	30	net	net	NOUN
cana-2634	6	31	and	and	CCONJ
cana-2634	6	32	inception	inception	NOUN
cana-2634	6	33	v6	v6	NOUN
cana-2634	6	34	models	model	NOUN
cana-2634	6	35	,	,	PUNCT
cana-2634	6	36	which	which	PRON
cana-2634	6	37	have	have	VERB
cana-2634	6	38	maximal	maximal	ADJ
cana-2634	6	39	test	test	NOUN
cana-2634	6	40	accuracies	accuracy	NOUN
cana-2634	6	41	up	up	ADP
cana-2634	6	42	to	to	ADP
cana-2634	6	43	99.93	99.93	NUM
cana-2634	6	44	%	%	NOUN
cana-2634	6	45	for	for	ADP
cana-2634	6	46	early	early	ADJ
cana-2634	6	47	detection	detection	NOUN
cana-2634	6	48	.	.	PUNCT
cana-2634	7	1	this	this	PRON
cana-2634	7	2	has	have	AUX
cana-2634	7	3	,	,	PUNCT
cana-2634	7	4	in	in	ADP
cana-2634	7	5	a	a	DET
cana-2634	7	6	pointed	pointed	ADJ
cana-2634	7	7	manner	manner	NOUN
cana-2634	7	8	increased	increase	VERB
cana-2634	7	9	the	the	DET
cana-2634	7	10	potential	potential	NOUN
cana-2634	7	11	of	of	ADP
cana-2634	7	12	the	the	DET
cana-2634	7	13	proposed	propose	VERB
cana-2634	7	14	approach	approach	NOUN
cana-2634	7	15	to	to	ADP
cana-2634	7	16	enhancing	enhance	VERB
cana-2634	7	17	agricultural	agricultural	ADJ
cana-2634	7	18	practices	practice	NOUN
cana-2634	7	19	through	through	ADP
cana-2634	7	20	the	the	DET
cana-2634	7	21	delivery	delivery	NOUN
cana-2634	7	22	of	of	ADP
cana-2634	7	23	highly	highly	ADV
cana-2634	7	24	accurate	accurate	ADJ
cana-2634	7	25	tools	tool	NOUN
cana-2634	7	26	for	for	ADP
cana-2634	7	27	early	early	ADJ
cana-2634	7	28	intervention	intervention	NOUN
cana-2634	7	29	against	against	ADP
cana-2634	7	30	diseases	disease	NOUN
cana-2634	7	31	,	,	PUNCT
cana-2634	7	32	hence	hence	ADV
cana-2634	7	33	ensuring	ensure	VERB
cana-2634	7	34	food	food	NOUN
cana-2634	7	35	security	security	NOUN
cana-2634	7	36	worldwide	worldwide	ADV
cana-2634	7	37	.	.	PUNCT
cana-2634	8	1	these	these	DET
cana-2634	8	2	results	result	NOUN
cana-2634	8	3	establish	establish	VERB
cana-2634	8	4	new	new	ADJ
cana-2634	8	5	benchmarks	benchmark	NOUN
cana-2634	8	6	in	in	ADP
cana-2634	8	7	plant	plant	NOUN
cana-2634	8	8	pathology	pathology	NOUN
cana-2634	8	9	diagnostics	diagnostic	NOUN
cana-2634	8	10	,	,	PUNCT
cana-2634	8	11	representing	represent	VERB
cana-2634	8	12	state	state	NOUN
cana-2634	8	13	-	-	PUNCT
cana-2634	8	14	of	of	ADP
cana-2634	8	15	-	-	PUNCT
cana-2634	8	16	the	the	DET
cana-2634	8	17	-	-	PUNCT
cana-2634	8	18	art	art	NOUN
cana-2634	8	19	imaging	imaging	NOUN
cana-2634	8	20	technology	technology	NOUN
cana-2634	8	21	and	and	CCONJ
cana-2634	8	22	deep	deep	ADJ
cana-2634	8	23	learning	learning	NOUN
cana-2634	8	24	as	as	ADV
cana-2634	8	25	particularly	particularly	ADV
cana-2634	8	26	impactful	impactful	ADJ
cana-2634	8	27	tools	tool	NOUN
cana-2634	8	28	for	for	ADP
cana-2634	8	29	disease	disease	NOUN
cana-2634	8	30	management	management	NOUN
cana-2634	8	31	and	and	CCONJ
cana-2634	8	32	mitigation	mitigation	NOUN
cana-2634	8	33	strategies	strategy	NOUN
cana-2634	8	34	in	in	ADP
cana-2634	8	35	agriculture	agriculture	NOUN
cana-2634	8	36	.	.	PUNCT
cana-2634	9	1	keywords	keyword	NOUN
cana-2634	9	2	:	:	PUNCT
cana-2634	9	3	spectral	spectral	ADJ
cana-2634	9	4	imaging	imaging	PROPN
cana-2634	9	5	,	,	PUNCT
cana-2634	9	6	cnns	cnn	NOUN
cana-2634	9	7	,	,	PUNCT
cana-2634	9	8	plant	plant	NOUN
cana-2634	9	9	disease	disease	NOUN
cana-2634	9	10	detection	detection	NOUN
cana-2634	9	11	,	,	PUNCT
cana-2634	9	12	infrared	infrared	ADJ
cana-2634	9	13	imaging	imaging	NOUN
cana-2634	9	14	,	,	PUNCT
cana-2634	9	15	ultraviolet	ultraviolet	ADJ
cana-2634	9	16	imaging	imaging	NOUN
cana-2634	9	17	,	,	PUNCT
cana-2634	9	18	agricultural	agricultural	ADJ
cana-2634	9	19	techniques	technique	NOUN
cana-2634	9	20	,	,	PUNCT
cana-2634	9	21	early	early	ADJ
cana-2634	9	22	disease	disease	NOUN
cana-2634	9	23	diagnosis	diagnosis	NOUN
cana-2634	9	24	,	,	PUNCT
cana-2634	9	25	machine	machine	NOUN
cana-2634	9	26	learning	learning	NOUN
cana-2634	9	27	in	in	ADP
cana-2634	9	28	agriculture	agriculture	NOUN
cana-2634	9	29	,	,	PUNCT
cana-2634	9	30	diagnostic	diagnostic	ADJ
cana-2634	9	31	accuracy	accuracy	NOUN
cana-2634	9	32	,	,	PUNCT
cana-2634	9	33	food	food	NOUN
cana-2634	9	34	security	security	NOUN
cana-2634	9	35	.	.	PUNCT
cana-2634	10	1	1	1	X
cana-2634	10	2	.	.	X
cana-2634	10	3	introduction	introduction	NOUN
cana-2634	10	4	one	one	NUM
cana-2634	10	5	of	of	ADP
cana-2634	10	6	the	the	DET
cana-2634	10	7	significant	significant	ADJ
cana-2634	10	8	challenges	challenge	NOUN
cana-2634	10	9	to	to	PART
cana-2634	10	10	food	food	NOUN
cana-2634	10	11	security	security	NOUN
cana-2634	10	12	for	for	ADP
cana-2634	10	13	the	the	DET
cana-2634	10	14	world	world	NOUN
cana-2634	10	15	is	be	AUX
cana-2634	10	16	the	the	DET
cana-2634	10	17	prevalence	prevalence	NOUN
cana-2634	10	18	of	of	ADP
cana-2634	10	19	plant	plant	NOUN
cana-2634	10	20	diseases	disease	NOUN
cana-2634	10	21	,	,	PUNCT
cana-2634	10	22	added	add	VERB
cana-2634	10	23	to	to	ADP
cana-2634	10	24	by	by	ADP
cana-2634	10	25	,	,	PUNCT
cana-2634	10	26	among	among	ADP
cana-2634	10	27	other	other	ADJ
cana-2634	10	28	factors	factor	NOUN
cana-2634	10	29	,	,	PUNCT
cana-2634	10	30	population	population	NOUN
cana-2634	10	31	increase	increase	NOUN
cana-2634	10	32	and	and	CCONJ
cana-2634	10	33	climate	climate	NOUN
cana-2634	10	34	change	change	NOUN
cana-2634	10	35	.	.	PUNCT
cana-2634	11	1	traditional	traditional	ADJ
cana-2634	11	2	methods	method	NOUN
cana-2634	11	3	of	of	ADP
cana-2634	11	4	diagnosing	diagnose	VERB
cana-2634	11	5	plant	plant	NOUN
cana-2634	11	6	diseases	disease	NOUN
cana-2634	11	7	have	have	AUX
cana-2634	11	8	depended	depend	VERB
cana-2634	11	9	,	,	PUNCT
cana-2634	11	10	in	in	ADP
cana-2634	11	11	most	most	ADJ
cana-2634	11	12	cases	case	NOUN
cana-2634	11	13	,	,	PUNCT
cana-2634	11	14	on	on	ADP
cana-2634	11	15	visible	visible	ADJ
cana-2634	11	16	symptoms	symptom	NOUN
cana-2634	11	17	,	,	PUNCT
cana-2634	11	18	which	which	PRON
cana-2634	11	19	often	often	ADV
cana-2634	11	20	suggest	suggest	VERB
cana-2634	11	21	that	that	SCONJ
cana-2634	11	22	a	a	DET
cana-2634	11	23	problem	problem	NOUN
cana-2634	11	24	has	have	AUX
cana-2634	11	25	been	be	AUX
cana-2634	11	26	identified	identify	VERB
cana-2634	11	27	at	at	ADP
cana-2634	11	28	a	a	DET
cana-2634	11	29	pretty	pretty	ADV
cana-2634	11	30	advanced	advanced	ADJ
cana-2634	11	31	stage	stage	NOUN
cana-2634	11	32	,	,	PUNCT
cana-2634	11	33	hence	hence	ADV
cana-2634	11	34	leaving	leave	VERB
cana-2634	11	35	no	no	DET
cana-2634	11	36	room	room	NOUN
cana-2634	11	37	for	for	ADP
cana-2634	11	38	proper	proper	ADJ
cana-2634	11	39	treatment	treatment	NOUN
cana-2634	11	40	,	,	PUNCT
cana-2634	11	41	resulting	result	VERB
cana-2634	11	42	in	in	ADP
cana-2634	11	43	considerable	considerable	ADJ
cana-2634	11	44	losses	loss	NOUN
cana-2634	11	45	in	in	ADP
cana-2634	11	46	crop	crop	NOUN
cana-2634	11	47	yield	yield	NOUN
cana-2634	11	48	.	.	PUNCT
cana-2634	12	1	early	early	ADJ
cana-2634	12	2	diagnosis	diagnosis	NOUN
cana-2634	12	3	of	of	ADP
cana-2634	12	4	plant	plant	NOUN
cana-2634	12	5	diseases	disease	NOUN
cana-2634	12	6	is	be	AUX
cana-2634	12	7	essential	essential	ADJ
cana-2634	12	8	when	when	SCONJ
cana-2634	12	9	managing	manage	VERB
cana-2634	12	10	and	and	CCONJ
cana-2634	12	11	controlling	control	VERB
cana-2634	12	12	the	the	DET
cana-2634	12	13	diseases	disease	NOUN
cana-2634	12	14	.	.	PUNCT
cana-2634	13	1	there	there	PRON
cana-2634	13	2	is	be	VERB
cana-2634	13	3	no	no	DET
cana-2634	13	4	way	way	NOUN
cana-2634	13	5	that	that	SCONJ
cana-2634	13	6	the	the	DET
cana-2634	13	7	present	present	ADJ
cana-2634	13	8	diagnostic	diagnostic	ADJ
cana-2634	13	9	methods	method	NOUN
cana-2634	13	10	based	base	VERB
cana-2634	13	11	on	on	ADP
cana-2634	13	12	visual	visual	ADJ
cana-2634	13	13	checking	checking	NOUN
cana-2634	13	14	or	or	CCONJ
cana-2634	13	15	standard	standard	ADJ
cana-2634	13	16	imaging	imaging	NOUN
cana-2634	13	17	will	will	AUX
cana-2634	13	18	be	be	AUX
cana-2634	13	19	realizable	realizable	ADJ
cana-2634	13	20	to	to	PART
cana-2634	13	21	give	give	VERB
cana-2634	13	22	instant	instant	ADJ
cana-2634	13	23	and	and	CCONJ
cana-2634	13	24	precise	precise	ADJ
cana-2634	13	25	detection	detection	NOUN
cana-2634	13	26	,	,	PUNCT
cana-2634	13	27	necessitating	necessitate	VERB
cana-2634	13	28	the	the	DET
cana-2634	13	29	need	need	NOUN
cana-2634	13	30	for	for	ADP
cana-2634	13	31	developed	develop	VERB
cana-2634	13	32	diagnostic	diagnostic	ADJ
cana-2634	13	33	tools	tool	NOUN
cana-2634	13	34	.	.	PUNCT
cana-2634	14	1	in	in	ADP
cana-2634	14	2	this	this	DET
cana-2634	14	3	direction	direction	NOUN
cana-2634	14	4	,	,	PUNCT
cana-2634	14	5	technological	technological	ADJ
cana-2634	14	6	advancements	advancement	NOUN
cana-2634	14	7	provide	provide	VERB
cana-2634	14	8	an	an	DET
cana-2634	14	9	answer	answer	NOUN
cana-2634	14	10	to	to	ADP
cana-2634	14	11	such	such	ADJ
cana-2634	14	12	limitations	limitation	NOUN
cana-2634	14	13	.	.	PUNCT
cana-2634	15	1	spectral	spectral	ADJ
cana-2634	15	2	imaging	imaging	NOUN
cana-2634	15	3	will	will	AUX
cana-2634	15	4	be	be	AUX
cana-2634	15	5	active	active	ADJ
cana-2634	15	6	across	across	ADP
cana-2634	15	7	the	the	DET
cana-2634	15	8	ultraviolet	ultraviolet	NOUN
cana-2634	15	9	and	and	CCONJ
cana-2634	15	10	infrared	infrared	ADJ
cana-2634	15	11	light	light	NOUN
cana-2634	15	12	ranges	range	NOUN
cana-2634	15	13	,	,	PUNCT
cana-2634	15	14	capturing	capture	VERB
cana-2634	15	15	data	datum	NOUN
cana-2634	15	16	that	that	PRON
cana-2634	15	17	will	will	AUX
cana-2634	15	18	be	be	AUX
cana-2634	15	19	enabled	enable	VERB
cana-2634	15	20	to	to	PART
cana-2634	15	21	trace	trace	VERB
cana-2634	15	22	changes	change	NOUN
cana-2634	15	23	physiologically	physiologically	ADV
cana-2634	15	24	in	in	ADP
cana-2634	15	25	plants	plant	NOUN
cana-2634	15	26	indicating	indicate	VERB
cana-2634	15	27	communications	communication	NOUN
cana-2634	15	28	on	on	ADP
cana-2634	15	29	applied	apply	VERB
cana-2634	15	30	nonlinear	nonlinear	ADJ
cana-2634	15	31	analysis	analysis	NOUN
cana-2634	15	32	issn	issn	NOUN
cana-2634	15	33	:	:	PUNCT
cana-2634	15	34	1074	1074	NUM
cana-2634	15	35	-	-	PUNCT
cana-2634	15	36	133x	133x	NUM
cana-2634	15	37	vol	vol	NOUN
cana-2634	15	38	32	32	NUM
cana-2634	15	39	no	no	NOUN
cana-2634	15	40	.	.	PUNCT
cana-2634	16	1	3s	3s	NUM
cana-2634	16	2	(	(	PUNCT
cana-2634	16	3	2025	2025	NUM
cana-2634	16	4	)	)	PUNCT
cana-2634	16	5	232	232	NUM
cana-2634	17	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	17	2	disease	disease	NOUN
cana-2634	17	3	before	before	ADP
cana-2634	17	4	the	the	DET
cana-2634	17	5	appearance	appearance	NOUN
cana-2634	17	6	of	of	ADP
cana-2634	17	7	any	any	DET
cana-2634	17	8	symptom	symptom	NOUN
cana-2634	17	9	.	.	PUNCT
cana-2634	18	1	sophisticated	sophisticated	ADJ
cana-2634	18	2	technologies	technology	NOUN
cana-2634	18	3	are	be	AUX
cana-2634	18	4	needed	need	VERB
cana-2634	18	5	to	to	PART
cana-2634	18	6	analyze	analyze	VERB
cana-2634	18	7	complex	complex	ADJ
cana-2634	18	8	data	datum	NOUN
cana-2634	18	9	,	,	PUNCT
cana-2634	18	10	such	such	ADJ
cana-2634	18	11	as	as	ADP
cana-2634	18	12	those	those	PRON
cana-2634	18	13	used	use	VERB
cana-2634	18	14	with	with	ADP
cana-2634	18	15	convolutional	convolutional	ADJ
cana-2634	18	16	neural	neural	ADJ
cana-2634	18	17	networks	network	NOUN
cana-2634	18	18	(	(	PUNCT
cana-2634	18	19	cnns	cnns	PROPN
cana-2634	18	20	)	)	PUNCT
cana-2634	18	21	in	in	ADP
cana-2634	18	22	medical	medical	ADJ
cana-2634	18	23	imaging	imaging	NOUN
cana-2634	18	24	and	and	CCONJ
cana-2634	18	25	pattern	pattern	NOUN
cana-2634	18	26	recognition	recognition	NOUN
cana-2634	18	27	.	.	PUNCT
cana-2634	19	1	this	this	DET
cana-2634	19	2	research	research	NOUN
cana-2634	19	3	introduces	introduce	VERB
cana-2634	19	4	a	a	DET
cana-2634	19	5	novel	novel	ADJ
cana-2634	19	6	approach	approach	NOUN
cana-2634	19	7	for	for	ADP
cana-2634	19	8	the	the	DET
cana-2634	19	9	early	early	ADJ
cana-2634	19	10	detection	detection	NOUN
cana-2634	19	11	of	of	ADP
cana-2634	19	12	plant	plant	NOUN
cana-2634	19	13	diseases	disease	NOUN
cana-2634	19	14	using	use	VERB
cana-2634	19	15	spectral	spectral	ADJ
cana-2634	19	16	imaging	imaging	NOUN
cana-2634	19	17	in	in	ADP
cana-2634	19	18	combination	combination	NOUN
cana-2634	19	19	with	with	ADP
cana-2634	19	20	cnns	cnn	NOUN
cana-2634	19	21	.	.	PUNCT
cana-2634	20	1	the	the	DET
cana-2634	20	2	analysis	analysis	NOUN
cana-2634	20	3	of	of	ADP
cana-2634	20	4	multispectral	multispectral	ADJ
cana-2634	20	5	data	datum	NOUN
cana-2634	20	6	using	use	VERB
cana-2634	20	7	cnns	cnn	NOUN
cana-2634	20	8	makes	make	VERB
cana-2634	20	9	it	it	PRON
cana-2634	20	10	possible	possible	ADJ
cana-2634	20	11	to	to	PART
cana-2634	20	12	identify	identify	VERB
cana-2634	20	13	symptoms	symptom	NOUN
cana-2634	20	14	of	of	ADP
cana-2634	20	15	diseases	disease	NOUN
cana-2634	20	16	at	at	ADP
cana-2634	20	17	an	an	DET
cana-2634	20	18	early	early	ADJ
cana-2634	20	19	stage	stage	NOUN
cana-2634	20	20	before	before	SCONJ
cana-2634	20	21	they	they	PRON
cana-2634	20	22	are	be	AUX
cana-2634	20	23	perceptible	perceptible	ADJ
cana-2634	20	24	to	to	ADP
cana-2634	20	25	the	the	DET
cana-2634	20	26	human	human	ADJ
cana-2634	20	27	eye	eye	NOUN
cana-2634	20	28	.	.	PUNCT
cana-2634	21	1	specifically	specifically	ADV
cana-2634	21	2	,	,	PUNCT
cana-2634	21	3	data	datum	NOUN
cana-2634	21	4	obtained	obtain	VERB
cana-2634	21	5	from	from	ADP
cana-2634	21	6	the	the	DET
cana-2634	21	7	plant	plant	NOUN
cana-2634	21	8	village	village	NOUN
cana-2634	21	9	dataset	dataset	NOUN
cana-2634	21	10	,	,	PUNCT
cana-2634	21	11	which	which	PRON
cana-2634	21	12	were	be	AUX
cana-2634	21	13	initially	initially	ADV
cana-2634	21	14	represented	represent	VERB
cana-2634	21	15	as	as	ADP
cana-2634	21	16	rgb	rgb	PROPN
cana-2634	21	17	images	image	NOUN
cana-2634	21	18	,	,	PUNCT
cana-2634	21	19	are	be	AUX
cana-2634	21	20	also	also	ADV
cana-2634	21	21	converted	convert	VERB
cana-2634	21	22	into	into	ADP
cana-2634	21	23	spectral	spectral	ADJ
cana-2634	21	24	images	image	NOUN
cana-2634	21	25	to	to	PART
cana-2634	21	26	enable	enable	VERB
cana-2634	21	27	this	this	DET
cana-2634	21	28	all	all	DET
cana-2634	21	29	-	-	PUNCT
cana-2634	21	30	inclusive	inclusive	ADJ
cana-2634	21	31	analysis[1	analysis[1	NUM
cana-2634	21	32	]	]	PUNCT
cana-2634	21	33	.	.	PUNCT
cana-2634	22	1	this	this	DET
cana-2634	22	2	research	research	NOUN
cana-2634	22	3	is	be	AUX
cana-2634	22	4	novel	novel	ADJ
cana-2634	22	5	as	as	SCONJ
cana-2634	22	6	it	it	PRON
cana-2634	22	7	merges	merge	VERB
cana-2634	22	8	state	state	NOUN
cana-2634	22	9	-	-	PUNCT
cana-2634	22	10	of	of	ADP
cana-2634	22	11	-	-	PUNCT
cana-2634	22	12	the	the	DET
cana-2634	22	13	-	-	PUNCT
cana-2634	22	14	art	art	NOUN
cana-2634	22	15	imaging	imaging	NOUN
cana-2634	22	16	technology	technology	NOUN
cana-2634	22	17	with	with	ADP
cana-2634	22	18	deep	deep	ADJ
cana-2634	22	19	learning	learning	NOUN
cana-2634	22	20	to	to	ADP
cana-2634	22	21	an	an	DET
cana-2634	22	22	interdisciplinary	interdisciplinary	ADJ
cana-2634	22	23	approach	approach	NOUN
cana-2634	22	24	to	to	ADP
cana-2634	22	25	solving	solve	VERB
cana-2634	22	26	a	a	DET
cana-2634	22	27	critical	critical	ADJ
cana-2634	22	28	agricultural	agricultural	ADJ
cana-2634	22	29	problem	problem	NOUN
cana-2634	22	30	.	.	PUNCT
cana-2634	23	1	not	not	PART
cana-2634	23	2	only	only	ADV
cana-2634	23	3	does	do	AUX
cana-2634	23	4	this	this	DET
cana-2634	23	5	method	method	NOUN
cana-2634	23	6	enhance	enhance	VERB
cana-2634	23	7	the	the	DET
cana-2634	23	8	accuracy	accuracy	NOUN
cana-2634	23	9	and	and	CCONJ
cana-2634	23	10	timeliness	timeliness	NOUN
cana-2634	23	11	of	of	ADP
cana-2634	23	12	disease	disease	NOUN
cana-2634	23	13	detection	detection	NOUN
cana-2634	23	14	,	,	PUNCT
cana-2634	23	15	but	but	CCONJ
cana-2634	23	16	it	it	PRON
cana-2634	23	17	also	also	ADV
cana-2634	23	18	provides	provide	VERB
cana-2634	23	19	a	a	DET
cana-2634	23	20	far	far	ADV
cana-2634	23	21	better	well	ADJ
cana-2634	23	22	actionable	actionable	ADJ
cana-2634	23	23	insight	insight	NOUN
cana-2634	23	24	than	than	ADP
cana-2634	23	25	traditional	traditional	ADJ
cana-2634	23	26	methods	method	NOUN
cana-2634	23	27	.	.	PUNCT
cana-2634	24	1	the	the	DET
cana-2634	24	2	paper	paper	NOUN
cana-2634	24	3	is	be	AUX
cana-2634	24	4	structured	structure	VERB
cana-2634	24	5	towards	towards	ADP
cana-2634	24	6	presenting	present	VERB
cana-2634	24	7	the	the	DET
cana-2634	24	8	methodology	methodology	NOUN
cana-2634	24	9	and	and	CCONJ
cana-2634	24	10	results	result	NOUN
cana-2634	24	11	in	in	ADP
cana-2634	24	12	total	total	NOUN
cana-2634	24	13	for	for	ADP
cana-2634	24	14	this	this	DET
cana-2634	24	15	research	research	NOUN
cana-2634	24	16	.	.	PUNCT
cana-2634	25	1	it	it	PRON
cana-2634	25	2	opens	open	VERB
cana-2634	25	3	with	with	ADP
cana-2634	25	4	a	a	DET
cana-2634	25	5	review	review	NOUN
cana-2634	25	6	of	of	ADP
cana-2634	25	7	existing	exist	VERB
cana-2634	25	8	literature	literature	NOUN
cana-2634	25	9	,	,	PUNCT
cana-2634	25	10	emphasizing	emphasize	VERB
cana-2634	25	11	the	the	DET
cana-2634	25	12	gaps	gap	NOUN
cana-2634	25	13	in	in	ADP
cana-2634	25	14	current	current	ADJ
cana-2634	25	15	diagnostics	diagnostic	NOUN
cana-2634	25	16	and	and	CCONJ
cana-2634	25	17	the	the	DET
cana-2634	25	18	potential	potential	NOUN
cana-2634	25	19	of	of	ADP
cana-2634	25	20	new	new	ADJ
cana-2634	25	21	technologies	technology	NOUN
cana-2634	25	22	,	,	PUNCT
cana-2634	25	23	such	such	ADJ
cana-2634	25	24	as	as	ADP
cana-2634	25	25	spectral	spectral	ADJ
cana-2634	25	26	imaging	imaging	NOUN
cana-2634	25	27	and	and	CCONJ
cana-2634	25	28	cnns	cnn	NOUN
cana-2634	25	29	within	within	ADP
cana-2634	25	30	the	the	DET
cana-2634	25	31	plant	plant	NOUN
cana-2634	25	32	disease	disease	NOUN
cana-2634	25	33	field	field	NOUN
cana-2634	25	34	.	.	PUNCT
cana-2634	26	1	afterward	afterward	ADV
cana-2634	26	2	,	,	PUNCT
cana-2634	26	3	it	it	PRON
cana-2634	26	4	gives	give	VERB
cana-2634	26	5	detailed	detailed	ADJ
cana-2634	26	6	descriptions	description	NOUN
cana-2634	26	7	of	of	ADP
cana-2634	26	8	the	the	DET
cana-2634	26	9	experimental	experimental	ADJ
cana-2634	26	10	procedures	procedure	NOUN
cana-2634	26	11	:	:	PUNCT
cana-2634	26	12	descriptions	description	NOUN
cana-2634	26	13	of	of	ADP
cana-2634	26	14	the	the	DET
cana-2634	26	15	spectral	spectral	ADJ
cana-2634	26	16	imaging	imaging	NOUN
cana-2634	26	17	technique	technique	NOUN
cana-2634	26	18	,	,	PUNCT
cana-2634	26	19	the	the	DET
cana-2634	26	20	data	data	NOUN
cana-2634	26	21	acquisition	acquisition	NOUN
cana-2634	26	22	process	process	NOUN
cana-2634	26	23	,	,	PUNCT
cana-2634	26	24	and	and	CCONJ
cana-2634	26	25	the	the	DET
cana-2634	26	26	design	design	NOUN
cana-2634	26	27	of	of	ADP
cana-2634	26	28	cnn	cnn	PROPN
cana-2634	26	29	models	model	NOUN
cana-2634	26	30	.	.	PUNCT
cana-2634	27	1	next	next	ADV
cana-2634	27	2	,	,	PUNCT
cana-2634	27	3	the	the	DET
cana-2634	27	4	paper	paper	NOUN
cana-2634	27	5	briefly	briefly	NOUN
cana-2634	27	6	sheds	shed	VERB
cana-2634	27	7	light	light	NOUN
cana-2634	27	8	on	on	ADP
cana-2634	27	9	the	the	DET
cana-2634	27	10	challenges	challenge	NOUN
cana-2634	27	11	of	of	ADP
cana-2634	27	12	integrating	integrate	VERB
cana-2634	27	13	spectral	spectral	ADJ
cana-2634	27	14	data	datum	NOUN
cana-2634	27	15	into	into	ADP
cana-2634	27	16	cnns	cnn	NOUN
cana-2634	27	17	and	and	CCONJ
cana-2634	27	18	reports	report	VERB
cana-2634	27	19	the	the	DET
cana-2634	27	20	novel	novel	ADJ
cana-2634	27	21	solutions	solution	NOUN
cana-2634	27	22	developed	develop	VERB
cana-2634	27	23	.	.	PUNCT
cana-2634	28	1	in	in	ADP
cana-2634	28	2	the	the	DET
cana-2634	28	3	following	follow	VERB
cana-2634	28	4	application	application	NOUN
cana-2634	28	5	section	section	NOUN
cana-2634	28	6	,	,	PUNCT
cana-2634	28	7	we	we	PRON
cana-2634	28	8	demonstrate	demonstrate	VERB
cana-2634	28	9	how	how	SCONJ
cana-2634	28	10	this	this	DET
cana-2634	28	11	new	new	ADJ
cana-2634	28	12	approach	approach	NOUN
cana-2634	28	13	has	have	VERB
cana-2634	28	14	significantly	significantly	ADV
cana-2634	28	15	increased	increase	VERB
cana-2634	28	16	detection	detection	NOUN
cana-2634	28	17	accuracy	accuracy	NOUN
cana-2634	28	18	and	and	CCONJ
cana-2634	28	19	early	early	ADJ
cana-2634	28	20	diagnosis	diagnosis	NOUN
cana-2634	28	21	capacity	capacity	NOUN
cana-2634	28	22	throughout	throughout	ADP
cana-2634	28	23	several	several	ADJ
cana-2634	28	24	crops[2	crops[2	PROPN
cana-2634	28	25	]	]	PUNCT
cana-2634	28	26	.	.	PUNCT
cana-2634	29	1	the	the	DET
cana-2634	29	2	discussion	discussion	NOUN
cana-2634	29	3	section	section	NOUN
cana-2634	29	4	focuses	focus	VERB
cana-2634	29	5	on	on	ADP
cana-2634	29	6	the	the	DET
cana-2634	29	7	implications	implication	NOUN
cana-2634	29	8	of	of	ADP
cana-2634	29	9	these	these	DET
cana-2634	29	10	results	result	NOUN
cana-2634	29	11	,	,	PUNCT
cana-2634	29	12	discusses	discuss	VERB
cana-2634	29	13	in	in	ADP
cana-2634	29	14	-	-	PUNCT
cana-2634	29	15	depth	depth	NOUN
cana-2634	29	16	how	how	SCONJ
cana-2634	29	17	this	this	DET
cana-2634	29	18	advanced	advanced	ADJ
cana-2634	29	19	diagnostic	diagnostic	ADJ
cana-2634	29	20	method	method	NOUN
cana-2634	29	21	can	can	AUX
cana-2634	29	22	transform	transform	VERB
cana-2634	29	23	plant	plant	NOUN
cana-2634	29	24	pathology	pathology	NOUN
cana-2634	29	25	,	,	PUNCT
cana-2634	29	26	and	and	CCONJ
cana-2634	29	27	suggests	suggest	VERB
cana-2634	29	28	directions	direction	NOUN
cana-2634	29	29	for	for	ADP
cana-2634	29	30	further	further	ADJ
cana-2634	29	31	research	research	NOUN
cana-2634	29	32	.	.	PUNCT
cana-2634	30	1	the	the	DET
cana-2634	30	2	conclusion	conclusion	NOUN
cana-2634	30	3	summarizes	summarize	VERB
cana-2634	30	4	the	the	DET
cana-2634	30	5	research	research	NOUN
cana-2634	30	6	contribution	contribution	NOUN
cana-2634	30	7	and	and	CCONJ
cana-2634	30	8	next	next	ADJ
cana-2634	30	9	steps	step	NOUN
cana-2634	30	10	for	for	ADP
cana-2634	30	11	upgrading	upgrade	VERB
cana-2634	30	12	the	the	DET
cana-2634	30	13	diagnostic	diagnostic	ADJ
cana-2634	30	14	tools	tool	NOUN
cana-2634	30	15	and	and	CCONJ
cana-2634	30	16	expanding	expand	VERB
cana-2634	30	17	their	their	PRON
cana-2634	30	18	applications	application	NOUN
cana-2634	30	19	.	.	PUNCT
cana-2634	31	1	overall	overall	ADV
cana-2634	31	2	,	,	PUNCT
cana-2634	31	3	this	this	DET
cana-2634	31	4	research	research	NOUN
cana-2634	31	5	introduces	introduce	VERB
cana-2634	31	6	an	an	DET
cana-2634	31	7	innovative	innovative	ADJ
cana-2634	31	8	diagnostic	diagnostic	ADJ
cana-2634	31	9	approach	approach	NOUN
cana-2634	31	10	for	for	ADP
cana-2634	31	11	plant	plant	NOUN
cana-2634	31	12	diseases	disease	NOUN
cana-2634	31	13	,	,	PUNCT
cana-2634	31	14	a	a	DET
cana-2634	31	15	significant	significant	ADJ
cana-2634	31	16	contribution	contribution	NOUN
cana-2634	31	17	to	to	ADP
cana-2634	31	18	agricultural	agricultural	ADJ
cana-2634	31	19	technologies	technology	NOUN
cana-2634	31	20	.	.	PUNCT
cana-2634	32	1	this	this	PRON
cana-2634	32	2	would	would	AUX
cana-2634	32	3	be	be	AUX
cana-2634	32	4	an	an	DET
cana-2634	32	5	innovation	innovation	NOUN
cana-2634	32	6	of	of	ADP
cana-2634	32	7	extreme	extreme	ADJ
cana-2634	32	8	importance	importance	NOUN
cana-2634	32	9	for	for	ADP
cana-2634	32	10	food	food	NOUN
cana-2634	32	11	security	security	NOUN
cana-2634	32	12	worldwide	worldwide	ADV
cana-2634	32	13	in	in	ADP
cana-2634	32	14	the	the	DET
cana-2634	32	15	face	face	NOUN
cana-2634	32	16	of	of	ADP
cana-2634	32	17	increasing	increase	VERB
cana-2634	32	18	environmental	environmental	ADJ
cana-2634	32	19	and	and	CCONJ
cana-2634	32	20	demographic	demographic	ADJ
cana-2634	32	21	challenges	challenge	NOUN
cana-2634	32	22	.	.	PUNCT
cana-2634	33	1	figure	figure	VERB
cana-2634	33	2	1	1	NUM
cana-2634	33	3	:	:	PUNCT
cana-2634	33	4	block	block	NOUN
cana-2634	33	5	diagram	diagram	NOUN
cana-2634	33	6	of	of	ADP
cana-2634	33	7	developed	develop	VERB
cana-2634	33	8	work	work	NOUN
cana-2634	33	9	communications	communication	NOUN
cana-2634	33	10	on	on	ADP
cana-2634	33	11	applied	apply	VERB
cana-2634	33	12	nonlinear	nonlinear	ADJ
cana-2634	33	13	analysis	analysis	NOUN
cana-2634	33	14	issn	issn	NOUN
cana-2634	33	15	:	:	PUNCT
cana-2634	33	16	1074	1074	NUM
cana-2634	33	17	-	-	PUNCT
cana-2634	33	18	133x	133x	NUM
cana-2634	33	19	vol	vol	NOUN
cana-2634	33	20	32	32	NUM
cana-2634	34	1	no	no	NOUN
cana-2634	34	2	.	.	PUNCT
cana-2634	35	1	3s	3s	NUM
cana-2634	35	2	(	(	PUNCT
cana-2634	35	3	2025	2025	NUM
cana-2634	35	4	)	)	PUNCT
cana-2634	35	5	233	233	NUM
cana-2634	35	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	35	7	2	2	X
cana-2634	35	8	.	.	X
cana-2634	36	1	literature	literature	NOUN
cana-2634	36	2	review	review	VERB
cana-2634	36	3	the	the	DET
cana-2634	36	4	conventional	conventional	ADJ
cana-2634	36	5	approaches	approach	NOUN
cana-2634	36	6	developed	develop	VERB
cana-2634	36	7	in	in	ADP
cana-2634	36	8	detecting	detect	VERB
cana-2634	36	9	plant	plant	NOUN
cana-2634	36	10	diseases	disease	NOUN
cana-2634	36	11	are	be	AUX
cana-2634	36	12	mainly	mainly	ADV
cana-2634	36	13	based	base	VERB
cana-2634	36	14	on	on	ADP
cana-2634	36	15	rgb	rgb	PROPN
cana-2634	36	16	color	color	NOUN
cana-2634	36	17	models	model	NOUN
cana-2634	36	18	and	and	CCONJ
cana-2634	36	19	,	,	PUNCT
cana-2634	36	20	thus	thus	ADV
cana-2634	36	21	are	be	AUX
cana-2634	36	22	insufficient	insufficient	ADJ
cana-2634	36	23	.	.	PUNCT
cana-2634	37	1	it	it	PRON
cana-2634	37	2	is	be	AUX
cana-2634	37	3	well	well	ADV
cana-2634	37	4	known	know	VERB
cana-2634	37	5	that	that	SCONJ
cana-2634	37	6	spectral	spectral	ADJ
cana-2634	37	7	imaging	imaging	NOUN
cana-2634	37	8	,	,	PUNCT
cana-2634	37	9	with	with	ADP
cana-2634	37	10	its	its	PRON
cana-2634	37	11	infrared	infrared	NOUN
cana-2634	37	12	and	and	CCONJ
cana-2634	37	13	ultraviolet	ultraviolet	ADJ
cana-2634	37	14	spectrums	spectrum	NOUN
cana-2634	37	15	,	,	PUNCT
cana-2634	37	16	gives	give	VERB
cana-2634	37	17	an	an	DET
cana-2634	37	18	excellent	excellent	ADJ
cana-2634	37	19	insight	insight	NOUN
cana-2634	37	20	into	into	ADP
cana-2634	37	21	the	the	DET
cana-2634	37	22	health	health	NOUN
cana-2634	37	23	status	status	NOUN
cana-2634	37	24	of	of	ADP
cana-2634	37	25	plants	plant	NOUN
cana-2634	37	26	.	.	PUNCT
cana-2634	38	1	this	this	DET
cana-2634	38	2	section	section	NOUN
cana-2634	38	3	discusses	discuss	VERB
cana-2634	38	4	existing	exist	VERB
cana-2634	38	5	applications	application	NOUN
cana-2634	38	6	of	of	ADP
cana-2634	38	7	convolutional	convolutional	ADJ
cana-2634	38	8	neural	neural	ADJ
cana-2634	38	9	networks	network	NOUN
cana-2634	38	10	within	within	ADP
cana-2634	38	11	agriculture	agriculture	NOUN
cana-2634	38	12	and	and	CCONJ
cana-2634	38	13	highlights	highlight	NOUN
cana-2634	38	14	the	the	DET
cana-2634	38	15	need	need	NOUN
cana-2634	38	16	for	for	ADP
cana-2634	38	17	including	include	VERB
cana-2634	38	18	spectral	spectral	ADJ
cana-2634	38	19	imaging	imaging	NOUN
cana-2634	38	20	in	in	ADP
cana-2634	38	21	detecting	detect	VERB
cana-2634	38	22	plant	plant	NOUN
cana-2634	38	23	diseases	disease	NOUN
cana-2634	38	24	.	.	PUNCT
cana-2634	39	1	applications	application	NOUN
cana-2634	39	2	of	of	ADP
cana-2634	39	3	deep	deep	ADJ
cana-2634	39	4	learning	learning	NOUN
cana-2634	39	5	have	have	AUX
cana-2634	39	6	sharply	sharply	ADV
cana-2634	39	7	improved	improve	VERB
cana-2634	39	8	plant	plant	NOUN
cana-2634	39	9	disease	disease	NOUN
cana-2634	39	10	diagnosis	diagnosis	NOUN
cana-2634	39	11	and	and	CCONJ
cana-2634	39	12	management	management	NOUN
cana-2634	39	13	.	.	PUNCT
cana-2634	40	1	for	for	ADP
cana-2634	40	2	example	example	NOUN
cana-2634	40	3	,	,	PUNCT
cana-2634	40	4	by	by	ADP
cana-2634	40	5	application	application	NOUN
cana-2634	40	6	of	of	ADP
cana-2634	40	7	a	a	DET
cana-2634	40	8	new	new	ADJ
cana-2634	40	9	advanced	advanced	ADJ
cana-2634	40	10	deep	deep	ADJ
cana-2634	40	11	-	-	PUNCT
cana-2634	40	12	learning	learning	NOUN
cana-2634	40	13	-	-	PUNCT
cana-2634	40	14	based	base	VERB
cana-2634	40	15	channel	channel	NOUN
cana-2634	40	16	attention	attention	NOUN
cana-2634	40	17	-	-	PUNCT
cana-2634	40	18	focused	focus	VERB
cana-2634	40	19	technique	technique	NOUN
cana-2634	40	20	to	to	PART
cana-2634	40	21	achieve	achieve	VERB
cana-2634	40	22	95	95	NUM
cana-2634	40	23	%	%	NOUN
cana-2634	40	24	accuracy	accuracy	NOUN
cana-2634	40	25	in	in	ADP
cana-2634	40	26	disease	disease	NOUN
cana-2634	40	27	identification	identification	NOUN
cana-2634	40	28	,	,	PUNCT
cana-2634	40	29	dhaka	dhaka	PROPN
cana-2634	40	30	et	et	PROPN
cana-2634	40	31	al	al	PROPN
cana-2634	40	32	.	.	PROPN
cana-2634	40	33	,	,	PUNCT
cana-2634	40	34	2022	2022	NUM
cana-2634	40	35	.	.	PUNCT
cana-2634	41	1	on	on	ADP
cana-2634	41	2	the	the	DET
cana-2634	41	3	other	other	ADJ
cana-2634	41	4	hand	hand	NOUN
cana-2634	41	5	,	,	PUNCT
cana-2634	41	6	through	through	ADP
cana-2634	41	7	methods	method	NOUN
cana-2634	41	8	of	of	ADP
cana-2634	41	9	deep	deep	ADJ
cana-2634	41	10	learning	learning	NOUN
cana-2634	41	11	,	,	PUNCT
cana-2634	41	12	cruz	cruz	PROPN
cana-2634	41	13	et	et	PROPN
cana-2634	41	14	al	al	PROPN
cana-2634	41	15	.	.	PROPN
cana-2634	41	16	,	,	PUNCT
cana-2634	41	17	2022	2022	NUM
cana-2634	41	18	conducted	conduct	VERB
cana-2634	41	19	studies	study	NOUN
cana-2634	41	20	on	on	ADP
cana-2634	41	21	grapevine	grapevine	NOUN
cana-2634	41	22	yellows	yellow	NOUN
cana-2634	41	23	,	,	PUNCT
cana-2634	41	24	thus	thus	ADV
cana-2634	41	25	showing	show	VERB
cana-2634	41	26	their	their	PRON
cana-2634	41	27	increasing	increase	VERB
cana-2634	41	28	versatility	versatility	NOUN
cana-2634	41	29	in	in	ADP
cana-2634	41	30	agriculture	agriculture	NOUN
cana-2634	41	31	.	.	PUNCT
cana-2634	42	1	in	in	ADP
cana-2634	42	2	their	their	PRON
cana-2634	42	3	research	research	NOUN
cana-2634	42	4	in	in	ADP
cana-2634	42	5	2021	2021	NUM
cana-2634	42	6	,	,	PUNCT
cana-2634	42	7	gao	gao	PROPN
cana-2634	42	8	et	et	PROPN
cana-2634	42	9	al	al	PROPN
cana-2634	42	10	.	.	PROPN
cana-2634	42	11	utilized	utilize	VERB
cana-2634	42	12	a	a	DET
cana-2634	42	13	model	model	NOUN
cana-2634	42	14	that	that	PRON
cana-2634	42	15	fuses	fuse	VERB
cana-2634	42	16	the	the	DET
cana-2634	42	17	eca	eca	NOUN
cana-2634	42	18	with	with	ADP
cana-2634	42	19	transfer	transfer	NOUN
cana-2634	42	20	learning	learn	VERB
cana-2634	42	21	to	to	PART
cana-2634	42	22	realize	realize	VERB
cana-2634	42	23	high	high	ADJ
cana-2634	42	24	precision	precision	NOUN
cana-2634	42	25	in	in	ADP
cana-2634	42	26	detecting	detect	VERB
cana-2634	42	27	crop	crop	NOUN
cana-2634	42	28	disease	disease	NOUN
cana-2634	42	29	.	.	PUNCT
cana-2634	43	1	li	li	PROPN
cana-2634	43	2	et	et	PROPN
cana-2634	43	3	al	al	PROPN
cana-2634	43	4	.	.	PROPN
cana-2634	43	5	used	use	VERB
cana-2634	43	6	the	the	DET
cana-2634	43	7	google	google	PROPN
cana-2634	43	8	net	net	ADJ
cana-2634	43	9	architecture	architecture	NOUN
cana-2634	43	10	to	to	PART
cana-2634	43	11	detect	detect	VERB
cana-2634	43	12	diseases	disease	NOUN
cana-2634	43	13	on	on	ADP
cana-2634	43	14	maize	maize	NOUN
cana-2634	43	15	,	,	PUNCT
cana-2634	43	16	tomato	tomato	NOUN
cana-2634	43	17	,	,	PUNCT
cana-2634	43	18	and	and	CCONJ
cana-2634	43	19	eggplant	eggplant	NOUN
cana-2634	43	20	crops	crop	NOUN
cana-2634	43	21	in	in	ADP
cana-2634	43	22	2020	2020	NUM
cana-2634	43	23	,	,	PUNCT
cana-2634	43	24	thus	thus	ADV
cana-2634	43	25	proving	prove	VERB
cana-2634	43	26	that	that	SCONJ
cana-2634	43	27	deep	deep	ADJ
cana-2634	43	28	learning	learning	NOUN
cana-2634	43	29	is	be	AUX
cana-2634	43	30	adaptable	adaptable	ADJ
cana-2634	43	31	across	across	ADP
cana-2634	43	32	all	all	DET
cana-2634	43	33	fields	field	NOUN
cana-2634	43	34	.	.	PUNCT
cana-2634	44	1	in	in	ADP
cana-2634	44	2	2022	2022	NUM
cana-2634	44	3	,	,	PUNCT
cana-2634	44	4	pan	pan	PROPN
cana-2634	44	5	et	et	PROPN
cana-2634	44	6	al	al	PROPN
cana-2634	44	7	.	.	PROPN
cana-2634	44	8	realized	realize	VERB
cana-2634	44	9	an	an	DET
cana-2634	44	10	adequate	adequate	ADJ
cana-2634	44	11	system	system	NOUN
cana-2634	44	12	for	for	ADP
cana-2634	44	13	detecting	detect	VERB
cana-2634	44	14	and	and	CCONJ
cana-2634	44	15	balancing	balance	VERB
cana-2634	44	16	diseases	disease	NOUN
cana-2634	44	17	in	in	ADP
cana-2634	44	18	agriculture	agriculture	NOUN
cana-2634	44	19	.	.	PUNCT
cana-2634	45	1	sathyavani	sathyavani	PROPN
cana-2634	45	2	et	et	PROPN
cana-2634	45	3	al	al	PROPN
cana-2634	45	4	.	.	PROPN
cana-2634	46	1	(	(	PUNCT
cana-2634	46	2	2021	2021	NUM
cana-2634	46	3	)	)	PUNCT
cana-2634	46	4	also	also	ADV
cana-2634	46	5	used	use	VERB
cana-2634	46	6	deep	deep	ADJ
cana-2634	46	7	learning	learning	NOUN
cana-2634	46	8	technologies	technology	NOUN
cana-2634	46	9	in	in	ADP
cana-2634	46	10	countering	counter	VERB
cana-2634	46	11	the	the	DET
cana-2634	46	12	nutrient	nutrient	ADJ
cana-2634	46	13	deficiency	deficiency	NOUN
cana-2634	46	14	of	of	ADP
cana-2634	46	15	rice	rice	NOUN
cana-2634	46	16	.	.	PUNCT
cana-2634	47	1	they	they	PRON
cana-2634	47	2	stated	state	VERB
cana-2634	47	3	that	that	SCONJ
cana-2634	47	4	it	it	PRON
cana-2634	47	5	holds	hold	VERB
cana-2634	47	6	great	great	ADJ
cana-2634	47	7	promise	promise	NOUN
cana-2634	47	8	for	for	ADP
cana-2634	47	9	utilizing	utilize	VERB
cana-2634	47	10	these	these	PRON
cana-2634	47	11	to	to	PART
cana-2634	47	12	handle	handle	VERB
cana-2634	47	13	the	the	DET
cana-2634	47	14	more	more	ADV
cana-2634	47	15	extensive	extensive	ADJ
cana-2634	47	16	crop	crop	NOUN
cana-2634	47	17	health	health	NOUN
cana-2634	47	18	management	management	NOUN
cana-2634	47	19	.	.	PUNCT
cana-2634	48	1	siddharth	siddharth	NOUN
cana-2634	48	2	and	and	CCONJ
cana-2634	48	3	kumar	kumar	PROPN
cana-2634	48	4	(	(	PUNCT
cana-2634	48	5	2018	2018	NUM
cana-2634	48	6	)	)	PUNCT
cana-2634	48	7	developed	develop	VERB
cana-2634	48	8	high	high	ADJ
cana-2634	48	9	-	-	PUNCT
cana-2634	48	10	accuracy	accuracy	NOUN
cana-2634	48	11	disease	disease	NOUN
cana-2634	48	12	identification	identification	NOUN
cana-2634	48	13	through	through	ADP
cana-2634	48	14	bacterial	bacterial	ADJ
cana-2634	48	15	foraging	forage	VERB
cana-2634	48	16	optimization	optimization	NOUN
cana-2634	48	17	and	and	CCONJ
cana-2634	48	18	radial	radial	ADJ
cana-2634	48	19	basis	basis	NOUN
cana-2634	48	20	function	function	NOUN
cana-2634	48	21	network	network	NOUN
cana-2634	48	22	.	.	PUNCT
cana-2634	49	1	sunayana	sunayana	PROPN
cana-2634	49	2	et	et	PROPN
cana-2634	49	3	al	al	PROPN
cana-2634	49	4	.	.	PROPN
cana-2634	49	5	(	(	PUNCT
cana-2634	49	6	2021	2021	NUM
cana-2634	49	7	)	)	PUNCT
cana-2634	49	8	,	,	PUNCT
cana-2634	49	9	wang	wang	PROPN
cana-2634	49	10	et	et	PROPN
cana-2634	49	11	al	al	PROPN
cana-2634	49	12	.	.	PROPN
cana-2634	49	13	(	(	PUNCT
cana-2634	49	14	2020	2020	NUM
cana-2634	49	15	)	)	PUNCT
cana-2634	49	16	,	,	PUNCT
cana-2634	49	17	and	and	CCONJ
cana-2634	49	18	abdallah	abdallah	PROPN
cana-2634	49	19	et	et	PROPN
cana-2634	49	20	al	al	PROPN
cana-2634	49	21	.	.	PROPN
cana-2634	49	22	(	(	PUNCT
cana-2634	49	23	2020	2020	NUM
cana-2634	49	24	)	)	PUNCT
cana-2634	49	25	have	have	AUX
cana-2634	49	26	carefully	carefully	ADV
cana-2634	49	27	explored	explore	VERB
cana-2634	49	28	different	different	ADJ
cana-2634	49	29	deeplearning	deeplearning	NOUN
cana-2634	49	30	techniques	technique	NOUN
cana-2634	49	31	in	in	ADP
cana-2634	49	32	identifying	identify	VERB
cana-2634	49	33	plant	plant	NOUN
cana-2634	49	34	diseases	disease	NOUN
cana-2634	49	35	,	,	PUNCT
cana-2634	49	36	while	while	SCONJ
cana-2634	49	37	baranwal	baranwal	NOUN
cana-2634	49	38	and	and	CCONJ
cana-2634	49	39	sengupta	sengupta	NOUN
cana-2634	49	40	(	(	PUNCT
cana-2634	49	41	2020	2020	NUM
cana-2634	49	42	)	)	PUNCT
cana-2634	49	43	put	put	VERB
cana-2634	49	44	more	more	ADJ
cana-2634	49	45	emphasis	emphasis	NOUN
cana-2634	49	46	on	on	ADP
cana-2634	49	47	the	the	DET
cana-2634	49	48	importance	importance	NOUN
cana-2634	49	49	of	of	ADP
cana-2634	49	50	early	early	ADJ
cana-2634	49	51	detection	detection	NOUN
cana-2634	49	52	using	use	VERB
cana-2634	49	53	hyperspectral	hyperspectral	ADJ
cana-2634	49	54	imaging	imaging	NOUN
cana-2634	49	55	.	.	PUNCT
cana-2634	50	1	braik	braik	PROPN
cana-2634	50	2	and	and	CCONJ
cana-2634	50	3	ijjeh	ijjeh	NOUN
cana-2634	50	4	(	(	PUNCT
cana-2634	50	5	2018	2018	NUM
cana-2634	50	6	)	)	PUNCT
cana-2634	50	7	and	and	CCONJ
cana-2634	50	8	cheng	cheng	PROPN
cana-2634	50	9	et	et	PROPN
cana-2634	50	10	al	al	PROPN
cana-2634	50	11	.	.	PROPN
cana-2634	51	1	(	(	PUNCT
cana-2634	51	2	2019	2019	NUM
cana-2634	51	3	)	)	PUNCT
cana-2634	51	4	emphasized	emphasize	VERB
cana-2634	51	5	a	a	DET
cana-2634	51	6	hike	hike	NOUN
cana-2634	51	7	in	in	ADP
cana-2634	51	8	identification	identification	NOUN
cana-2634	51	9	accuracy	accuracy	NOUN
cana-2634	51	10	.	.	PUNCT
cana-2634	52	1	deng	deng	PROPN
cana-2634	52	2	et	et	PROPN
cana-2634	52	3	al	al	PROPN
cana-2634	52	4	.	.	PROPN
cana-2634	53	1	(	(	PUNCT
cana-2634	53	2	2016	2016	NUM
cana-2634	53	3	)	)	PUNCT
cana-2634	53	4	examined	examine	VERB
cana-2634	53	5	the	the	DET
cana-2634	53	6	critical	critical	ADJ
cana-2634	53	7	attributes	attribute	NOUN
cana-2634	53	8	of	of	ADP
cana-2634	53	9	deep	deep	ADJ
cana-2634	53	10	neural	neural	ADJ
cana-2634	53	11	networks	network	NOUN
cana-2634	53	12	in	in	ADP
cana-2634	53	13	agriculture	agriculture	NOUN
cana-2634	53	14	.	.	PUNCT
cana-2634	54	1	ghazi	ghazi	PROPN
cana-2634	54	2	and	and	CCONJ
cana-2634	54	3	farooq	farooq	PROPN
cana-2634	54	4	(	(	PUNCT
cana-2634	54	5	2020	2020	NUM
cana-2634	54	6	)	)	PUNCT
cana-2634	54	7	achieved	achieve	VERB
cana-2634	54	8	real	real	ADJ
cana-2634	54	9	-	-	PUNCT
cana-2634	54	10	time	time	NOUN
cana-2634	54	11	location	location	NOUN
cana-2634	54	12	of	of	ADP
cana-2634	54	13	the	the	DET
cana-2634	54	14	plant	plant	NOUN
cana-2634	54	15	disease	disease	NOUN
cana-2634	54	16	spot	spot	NOUN
cana-2634	54	17	using	use	VERB
cana-2634	54	18	deep	deep	ADJ
cana-2634	54	19	learning	learning	NOUN
cana-2634	54	20	accompanied	accompany	VERB
cana-2634	54	21	by	by	ADP
cana-2634	54	22	saliency	saliency	NOUN
cana-2634	54	23	maps	map	NOUN
cana-2634	54	24	.	.	PUNCT
cana-2634	55	1	manogaran	manogaran	ADJ
cana-2634	55	2	and	and	CCONJ
cana-2634	55	3	lopez	lopez	NOUN
cana-2634	55	4	(	(	PUNCT
cana-2634	55	5	2020	2020	NUM
cana-2634	55	6	)	)	PUNCT
cana-2634	55	7	,	,	PUNCT
cana-2634	55	8	marami	marami	NOUN
cana-2634	55	9	and	and	CCONJ
cana-2634	55	10	amiry	amiry	NOUN
cana-2634	55	11	(	(	PUNCT
cana-2634	55	12	2018	2018	NUM
cana-2634	55	13	)	)	PUNCT
cana-2634	55	14	,	,	PUNCT
cana-2634	55	15	and	and	CCONJ
cana-2634	55	16	ndhlala	ndhlala	VERB
cana-2634	55	17	and	and	CCONJ
cana-2634	55	18	marivate	marivate	PROPN
cana-2634	55	19	(	(	PUNCT
cana-2634	55	20	2017	2017	NUM
cana-2634	55	21	)	)	PUNCT
cana-2634	55	22	used	use	VERB
cana-2634	55	23	deep	deep	ADJ
cana-2634	55	24	learning	learning	NOUN
cana-2634	55	25	to	to	PART
cana-2634	55	26	detect	detect	VERB
cana-2634	55	27	other	other	ADJ
cana-2634	55	28	crop	crop	NOUN
cana-2634	55	29	diseases	disease	NOUN
cana-2634	55	30	.	.	PUNCT
cana-2634	56	1	qiu	qiu	PROPN
cana-2634	56	2	and	and	CCONJ
cana-2634	56	3	lee	lee	PROPN
cana-2634	56	4	(	(	PUNCT
cana-2634	56	5	2020	2020	NUM
cana-2634	56	6	)	)	PUNCT
cana-2634	56	7	,	,	PUNCT
cana-2634	56	8	for	for	ADP
cana-2634	56	9	example	example	NOUN
cana-2634	56	10	,	,	PUNCT
cana-2634	56	11	give	give	VERB
cana-2634	56	12	a	a	DET
cana-2634	56	13	general	general	ADJ
cana-2634	56	14	overview	overview	NOUN
cana-2634	56	15	of	of	ADP
cana-2634	56	16	applications	application	NOUN
cana-2634	56	17	for	for	ADP
cana-2634	56	18	deep	deep	ADJ
cana-2634	56	19	learning	learning	NOUN
cana-2634	56	20	in	in	ADP
cana-2634	56	21	conjunction	conjunction	NOUN
cana-2634	56	22	with	with	ADP
cana-2634	56	23	the	the	DET
cana-2634	56	24	detection	detection	NOUN
cana-2634	56	25	and	and	CCONJ
cana-2634	56	26	management	management	NOUN
cana-2634	56	27	of	of	ADP
cana-2634	56	28	agricultural	agricultural	ADJ
cana-2634	56	29	diseases	disease	NOUN
cana-2634	56	30	.	.	PUNCT
cana-2634	57	1	singh	singh	PROPN
cana-2634	57	2	,	,	PUNCT
cana-2634	57	3	verma	verma	PROPN
cana-2634	57	4	,	,	PUNCT
cana-2634	57	5	and	and	CCONJ
cana-2634	57	6	manogaran	manogaran	ADJ
cana-2634	57	7	(	(	PUNCT
cana-2634	57	8	2020	2020	NUM
cana-2634	57	9	)	)	PUNCT
cana-2634	57	10	have	have	AUX
cana-2634	57	11	worked	work	VERB
cana-2634	57	12	on	on	ADP
cana-2634	57	13	plant	plant	NOUN
cana-2634	57	14	disease	disease	NOUN
cana-2634	57	15	detection	detection	NOUN
cana-2634	57	16	using	use	VERB
cana-2634	57	17	cnn	cnn	PROPN
cana-2634	57	18	.	.	PUNCT
cana-2634	58	1	at	at	ADP
cana-2634	58	2	the	the	DET
cana-2634	58	3	same	same	ADJ
cana-2634	58	4	time	time	NOUN
cana-2634	58	5	,	,	PUNCT
cana-2634	58	6	sujitha	sujitha	NOUN
cana-2634	58	7	and	and	CCONJ
cana-2634	58	8	ramesh	ramesh	PROPN
cana-2634	58	9	(	(	PUNCT
cana-2634	58	10	2020	2020	NUM
cana-2634	58	11	)	)	PUNCT
cana-2634	58	12	,	,	PUNCT
cana-2634	58	13	along	along	ADP
cana-2634	58	14	with	with	ADP
cana-2634	58	15	verma	verma	PROPN
cana-2634	58	16	and	and	CCONJ
cana-2634	58	17	krishnan	krishnan	PROPN
cana-2634	58	18	(	(	PUNCT
cana-2634	58	19	2021	2021	NUM
cana-2634	58	20	)	)	PUNCT
cana-2634	58	21	,	,	PUNCT
cana-2634	58	22	proposed	propose	VERB
cana-2634	58	23	a	a	DET
cana-2634	58	24	crop	crop	NOUN
cana-2634	58	25	-	-	PUNCT
cana-2634	58	26	specific	specific	ADJ
cana-2634	58	27	disease	disease	NOUN
cana-2634	58	28	detection	detection	NOUN
cana-2634	58	29	.	.	PUNCT
cana-2634	59	1	finally	finally	ADV
cana-2634	59	2	,	,	PUNCT
cana-2634	59	3	walia	walia	PROPN
cana-2634	59	4	,	,	PUNCT
cana-2634	59	5	arora	arora	PROPN
cana-2634	59	6	,	,	PUNCT
cana-2634	59	7	and	and	CCONJ
cana-2634	59	8	baluja	baluja	NOUN
cana-2634	59	9	(	(	PUNCT
cana-2634	59	10	2019	2019	NUM
cana-2634	59	11	)	)	PUNCT
cana-2634	59	12	reviewed	review	VERB
cana-2634	59	13	pertinent	pertinent	ADJ
cana-2634	59	14	image	image	NOUN
cana-2634	59	15	processing	processing	NOUN
cana-2634	59	16	techniques	technique	NOUN
cana-2634	59	17	.	.	PUNCT
cana-2634	60	1	the	the	DET
cana-2634	60	2	fieldplant	fieldplant	PROPN
cana-2634	60	3	dataset	dataset	NOUN
cana-2634	60	4	introduced	introduce	VERB
cana-2634	60	5	by	by	ADP
cana-2634	60	6	moupojou	moupojou	NOUN
cana-2634	60	7	et	et	PROPN
cana-2634	60	8	al	al	PROPN
cana-2634	60	9	.	.	PROPN
cana-2634	60	10	(	(	PUNCT
cana-2634	60	11	2023	2023	NUM
cana-2634	60	12	)	)	PUNCT
cana-2634	60	13	contains	contain	VERB
cana-2634	60	14	5,170	5,170	NUM
cana-2634	60	15	images	image	NOUN
cana-2634	60	16	of	of	ADP
cana-2634	60	17	plant	plant	NOUN
cana-2634	60	18	diseases	disease	NOUN
cana-2634	60	19	,	,	PUNCT
cana-2634	60	20	which	which	PRON
cana-2634	60	21	were	be	AUX
cana-2634	60	22	directly	directly	ADV
cana-2634	60	23	acquired	acquire	VERB
cana-2634	60	24	in	in	ADP
cana-2634	60	25	the	the	DET
cana-2634	60	26	plantations	plantation	NOUN
cana-2634	60	27	and	and	CCONJ
cana-2634	60	28	manually	manually	ADV
cana-2634	60	29	annotated	annotate	VERB
cana-2634	60	30	under	under	ADP
cana-2634	60	31	the	the	DET
cana-2634	60	32	guidance	guidance	NOUN
cana-2634	60	33	of	of	ADP
cana-2634	60	34	plant	plant	NOUN
cana-2634	60	35	pathologists	pathologist	NOUN
cana-2634	60	36	.	.	PUNCT
cana-2634	61	1	this	this	PRON
cana-2634	61	2	not	not	PART
cana-2634	61	3	only	only	ADV
cana-2634	61	4	underscores	underscore	VERB
cana-2634	61	5	the	the	DET
cana-2634	61	6	value	value	NOUN
cana-2634	61	7	of	of	ADP
cana-2634	61	8	field	field	NOUN
cana-2634	61	9	-	-	PUNCT
cana-2634	61	10	specific	specific	ADJ
cana-2634	61	11	,	,	PUNCT
cana-2634	61	12	quality	quality	NOUN
cana-2634	61	13	data	datum	NOUN
cana-2634	61	14	when	when	SCONJ
cana-2634	61	15	learning	learn	VERB
cana-2634	61	16	deep	deep	ADJ
cana-2634	61	17	learning	learning	NOUN
cana-2634	61	18	models	model	NOUN
cana-2634	61	19	but	but	CCONJ
cana-2634	61	20	also	also	ADV
cana-2634	61	21	makes	make	VERB
cana-2634	61	22	largescale	largescale	NOUN
cana-2634	61	23	benchmarking	benchmarke	VERB
cana-2634	61	24	available	available	ADJ
cana-2634	61	25	across	across	ADP
cana-2634	61	26	a	a	DET
cana-2634	61	27	diversity	diversity	NOUN
cana-2634	61	28	of	of	ADP
cana-2634	61	29	detection	detection	NOUN
cana-2634	61	30	and	and	CCONJ
cana-2634	61	31	segmentation	segmentation	NOUN
cana-2634	61	32	tasks	task	NOUN
cana-2634	61	33	for	for	ADP
cana-2634	61	34	different	different	ADJ
cana-2634	61	35	classes	class	NOUN
cana-2634	61	36	of	of	ADP
cana-2634	61	37	objects	object	NOUN
cana-2634	61	38	.	.	PUNCT
cana-2634	62	1	more	more	ADV
cana-2634	62	2	recently	recently	ADV
cana-2634	62	3	,	,	PUNCT
cana-2634	62	4	balafas	balafas	NOUN
cana-2634	62	5	et	et	PROPN
cana-2634	62	6	al	al	PROPN
cana-2634	62	7	.	.	PROPN
cana-2634	63	1	(	(	PUNCT
cana-2634	63	2	2023	2023	NUM
cana-2634	63	3	)	)	PUNCT
cana-2634	63	4	reviewed	review	VERB
cana-2634	63	5	the	the	DET
cana-2634	63	6	use	use	NOUN
cana-2634	63	7	of	of	ADP
cana-2634	63	8	machine	machine	NOUN
cana-2634	63	9	learning	learning	NOUN
cana-2634	63	10	and	and	CCONJ
cana-2634	63	11	deep	deep	ADJ
cana-2634	63	12	learning	learning	NOUN
cana-2634	63	13	models	model	NOUN
cana-2634	63	14	in	in	ADP
cana-2634	63	15	precision	precision	NOUN
cana-2634	63	16	agriculture	agriculture	NOUN
cana-2634	63	17	and	and	CCONJ
cana-2634	63	18	outlined	outline	VERB
cana-2634	63	19	that	that	SCONJ
cana-2634	63	20	models	model	NOUN
cana-2634	63	21	like	like	ADP
cana-2634	63	22	yolov5	yolov5	NOUN
cana-2634	63	23	for	for	ADP
cana-2634	63	24	object	object	NOUN
cana-2634	63	25	detection	detection	NOUN
cana-2634	63	26	and	and	CCONJ
cana-2634	63	27	resnet50	resnet50	NOUN
cana-2634	63	28	and	and	CCONJ
cana-2634	63	29	mobilenetv2	mobilenetv2	PROPN
cana-2634	63	30	for	for	ADP
cana-2634	63	31	classification	classification	NOUN
cana-2634	63	32	tasks	task	NOUN
cana-2634	63	33	all	all	PRON
cana-2634	63	34	gave	give	VERB
cana-2634	63	35	very	very	ADV
cana-2634	63	36	high	high	ADJ
cana-2634	63	37	accuracies	accuracy	NOUN
cana-2634	63	38	on	on	ADP
cana-2634	63	39	datasets	dataset	NOUN
cana-2634	63	40	such	such	ADJ
cana-2634	63	41	as	as	ADP
cana-2634	63	42	plantdoc	plantdoc	PROPN
cana-2634	63	43	.	.	PUNCT
cana-2634	64	1	another	another	DET
cana-2634	64	2	prospective	prospective	ADJ
cana-2634	64	3	approach	approach	NOUN
cana-2634	64	4	was	be	AUX
cana-2634	64	5	suggested	suggest	VERB
cana-2634	64	6	by	by	ADP
cana-2634	64	7	hosny	hosny	PROPN
cana-2634	64	8	et	et	PROPN
cana-2634	64	9	al	al	PROPN
cana-2634	64	10	.	.	PROPN
cana-2634	65	1	(	(	PUNCT
cana-2634	65	2	2023	2023	NUM
cana-2634	65	3	)	)	PUNCT
cana-2634	65	4	,	,	PUNCT
cana-2634	65	5	in	in	ADP
cana-2634	65	6	which	which	PRON
cana-2634	65	7	they	they	PRON
cana-2634	65	8	propose	propose	VERB
cana-2634	65	9	the	the	DET
cana-2634	65	10	combination	combination	NOUN
cana-2634	65	11	of	of	ADP
cana-2634	65	12	deep	deep	ADJ
cana-2634	65	13	cnns	cnn	NOUN
cana-2634	65	14	and	and	CCONJ
cana-2634	65	15	local	local	ADJ
cana-2634	65	16	binary	binary	ADJ
cana-2634	65	17	pattern	pattern	NOUN
cana-2634	65	18	features	feature	VERB
cana-2634	65	19	for	for	ADP
cana-2634	65	20	multi	multi	ADJ
cana-2634	65	21	-	-	ADJ
cana-2634	65	22	class	class	ADJ
cana-2634	65	23	classification	classification	NOUN
cana-2634	65	24	of	of	ADP
cana-2634	65	25	plant	plant	NOUN
cana-2634	65	26	leaf	leaf	NOUN
cana-2634	65	27	diseases	disease	NOUN
cana-2634	65	28	.	.	PUNCT
cana-2634	66	1	in	in	ADP
cana-2634	66	2	relation	relation	NOUN
cana-2634	66	3	,	,	PUNCT
cana-2634	66	4	this	this	PRON
cana-2634	66	5	achieved	achieve	VERB
cana-2634	66	6	high	high	ADJ
cana-2634	66	7	validation	validation	NOUN
cana-2634	66	8	and	and	CCONJ
cana-2634	66	9	test	test	NOUN
cana-2634	66	10	accuracies	accuracy	NOUN
cana-2634	66	11	on	on	ADP
cana-2634	66	12	the	the	DET
cana-2634	66	13	datasets	dataset	NOUN
cana-2634	66	14	of	of	ADP
cana-2634	66	15	apple	apple	NOUN
cana-2634	66	16	,	,	PUNCT
cana-2634	66	17	tomato	tomato	NOUN
cana-2634	66	18	,	,	PUNCT
cana-2634	66	19	and	and	CCONJ
cana-2634	66	20	grape	grape	NOUN
cana-2634	66	21	leaves	leave	NOUN
cana-2634	66	22	,	,	PUNCT
cana-2634	66	23	establishing	establish	VERB
cana-2634	66	24	the	the	DET
cana-2634	66	25	potential	potential	NOUN
cana-2634	66	26	of	of	ADP
cana-2634	66	27	feature	feature	NOUN
cana-2634	66	28	fusion	fusion	NOUN
cana-2634	66	29	to	to	PART
cana-2634	66	30	improve	improve	VERB
cana-2634	66	31	disease	disease	NOUN
cana-2634	66	32	detection	detection	NOUN
cana-2634	66	33	.	.	PUNCT
cana-2634	67	1	our	our	PRON
cana-2634	67	2	proposed	propose	VERB
cana-2634	67	3	work	work	NOUN
cana-2634	67	4	advances	advance	NOUN
cana-2634	67	5	beyond	beyond	ADP
cana-2634	67	6	the	the	DET
cana-2634	67	7	existing	exist	VERB
cana-2634	67	8	literature	literature	NOUN
cana-2634	67	9	in	in	ADP
cana-2634	67	10	integrating	integrate	VERB
cana-2634	67	11	spectral	spectral	ADJ
cana-2634	67	12	imaging	imaging	NOUN
cana-2634	67	13	with	with	ADP
cana-2634	67	14	cnns	cnn	NOUN
cana-2634	67	15	to	to	PART
cana-2634	67	16	detect	detect	VERB
cana-2634	67	17	plant	plant	NOUN
cana-2634	67	18	diseases	disease	NOUN
cana-2634	67	19	at	at	ADP
cana-2634	67	20	earlier	early	ADJ
cana-2634	67	21	stages	stage	NOUN
cana-2634	67	22	than	than	ADP
cana-2634	67	23	what	what	PRON
cana-2634	67	24	is	be	AUX
cana-2634	67	25	currently	currently	ADV
cana-2634	67	26	possible	possible	ADJ
cana-2634	67	27	.	.	PUNCT
cana-2634	68	1	previous	previous	ADJ
cana-2634	68	2	research	research	NOUN
cana-2634	68	3	has	have	AUX
cana-2634	68	4	also	also	ADV
cana-2634	68	5	focused	focus	VERB
cana-2634	68	6	on	on	ADP
cana-2634	68	7	rgb	rgb	PROPN
cana-2634	68	8	images	image	NOUN
cana-2634	68	9	or	or	CCONJ
cana-2634	68	10	field	field	NOUN
cana-2634	68	11	-	-	PUNCT
cana-2634	68	12	specific	specific	ADJ
cana-2634	68	13	data	datum	NOUN
cana-2634	68	14	.	.	PUNCT
cana-2634	69	1	at	at	ADP
cana-2634	69	2	the	the	DET
cana-2634	69	3	same	same	ADJ
cana-2634	69	4	time	time	NOUN
cana-2634	69	5	,	,	PUNCT
cana-2634	69	6	at	at	ADP
cana-2634	69	7	some	some	DET
cana-2634	69	8	points	point	NOUN
cana-2634	69	9	,	,	PUNCT
cana-2634	69	10	they	they	PRON
cana-2634	69	11	lack	lack	VERB
cana-2634	69	12	the	the	DET
cana-2634	69	13	sensitivity	sensitivity	NOUN
cana-2634	69	14	to	to	ADP
cana-2634	69	15	the	the	DET
cana-2634	69	16	subtle	subtle	ADJ
cana-2634	69	17	physiological	physiological	ADJ
cana-2634	69	18	changes	change	NOUN
cana-2634	69	19	evident	evident	ADJ
cana-2634	69	20	through	through	ADP
cana-2634	69	21	spectral	spectral	ADJ
cana-2634	69	22	imaging	imaging	NOUN
cana-2634	69	23	.	.	PUNCT
cana-2634	70	1	our	our	PRON
cana-2634	70	2	method	method	NOUN
cana-2634	70	3	harnesses	harness	VERB
cana-2634	70	4	the	the	DET
cana-2634	70	5	richness	richness	NOUN
cana-2634	70	6	of	of	ADP
cana-2634	70	7	the	the	DET
cana-2634	70	8	data	datum	NOUN
cana-2634	70	9	that	that	PRON
cana-2634	70	10	exists	exist	VERB
cana-2634	70	11	within	within	ADP
cana-2634	70	12	the	the	DET
cana-2634	70	13	spectral	spectral	ADJ
cana-2634	70	14	images	image	NOUN
cana-2634	70	15	from	from	ADP
cana-2634	70	16	the	the	DET
cana-2634	70	17	infrared	infrared	NOUN
cana-2634	70	18	and	and	CCONJ
cana-2634	70	19	ultraviolet	ultraviolet	ADJ
cana-2634	70	20	spectra	spectra	NOUN
cana-2634	70	21	to	to	PART
cana-2634	70	22	have	have	VERB
cana-2634	70	23	the	the	DET
cana-2634	70	24	potential	potential	NOUN
cana-2634	70	25	for	for	ADP
cana-2634	70	26	the	the	DET
cana-2634	70	27	observation	observation	NOUN
cana-2634	70	28	of	of	ADP
cana-2634	70	29	early	early	ADJ
cana-2634	70	30	signs	sign	NOUN
cana-2634	70	31	of	of	ADP
cana-2634	70	32	disease	disease	NOUN
cana-2634	70	33	that	that	PRON
cana-2634	70	34	are	be	AUX
cana-2634	70	35	not	not	PART
cana-2634	70	36	visible	visible	ADJ
cana-2634	70	37	in	in	ADP
cana-2634	70	38	a	a	DET
cana-2634	70	39	standard	standard	ADJ
cana-2634	70	40	rgb	rgb	PROPN
cana-2634	70	41	image	image	NOUN
cana-2634	70	42	.	.	PUNCT
cana-2634	71	1	this	this	PRON
cana-2634	71	2	resulted	result	VERB
cana-2634	71	3	from	from	ADP
cana-2634	71	4	turning	turn	VERB
cana-2634	71	5	data	datum	NOUN
cana-2634	71	6	from	from	ADP
cana-2634	71	7	the	the	DET
cana-2634	71	8	plant	plant	NOUN
cana-2634	71	9	village	village	NOUN
cana-2634	71	10	dataset	dataset	VERB
cana-2634	71	11	into	into	ADP
cana-2634	71	12	spectral	spectral	ADJ
cana-2634	71	13	images	image	NOUN
cana-2634	71	14	and	and	CCONJ
cana-2634	71	15	fine	fine	ADV
cana-2634	71	16	-	-	PUNCT
cana-2634	71	17	tuning	tune	VERB
cana-2634	71	18	four	four	NUM
cana-2634	71	19	cnn	cnn	PROPN
cana-2634	71	20	models	model	NOUN
cana-2634	71	21	:	:	PUNCT
cana-2634	71	22	vgg16	vgg16	NOUN
cana-2634	71	23	,	,	PUNCT
cana-2634	71	24	efficientnet	efficientnet	PROPN
cana-2634	71	25	,	,	PUNCT
cana-2634	71	26	inception	inception	NOUN
cana-2634	71	27	v6	v6	PROPN
cana-2634	71	28	,	,	PUNCT
cana-2634	71	29	and	and	CCONJ
cana-2634	71	30	resnet-34	resnet-34	PROPN
cana-2634	71	31	,	,	PUNCT
cana-2634	71	32	which	which	PRON
cana-2634	71	33	have	have	AUX
cana-2634	71	34	undergone	undergo	VERB
cana-2634	71	35	several	several	ADJ
cana-2634	71	36	changes	change	NOUN
cana-2634	71	37	.	.	PUNCT
cana-2634	72	1	on	on	ADP
cana-2634	72	2	another	another	DET
cana-2634	72	3	communications	communication	NOUN
cana-2634	72	4	on	on	ADP
cana-2634	72	5	applied	apply	VERB
cana-2634	72	6	nonlinear	nonlinear	ADJ
cana-2634	72	7	analysis	analysis	NOUN
cana-2634	72	8	issn	issn	NOUN
cana-2634	72	9	:	:	PUNCT
cana-2634	72	10	1074	1074	NUM
cana-2634	72	11	-	-	PUNCT
cana-2634	72	12	133x	133x	NUM
cana-2634	72	13	vol	vol	NOUN
cana-2634	72	14	32	32	NUM
cana-2634	72	15	no	no	NOUN
cana-2634	72	16	.	.	PUNCT
cana-2634	73	1	3s	3s	NUM
cana-2634	73	2	(	(	PUNCT
cana-2634	73	3	2025	2025	NUM
cana-2634	73	4	)	)	PUNCT
cana-2634	73	5	234	234	NUM
cana-2634	73	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2634	73	7	subject	subject	NOUN
cana-2634	73	8	,	,	PUNCT
cana-2634	73	9	it	it	PRON
cana-2634	73	10	has	have	AUX
cana-2634	73	11	become	become	VERB
cana-2634	73	12	evident	evident	ADJ
cana-2634	73	13	by	by	ADP
cana-2634	73	14	our	our	PRON
cana-2634	73	15	results	result	NOUN
cana-2634	73	16	that	that	SCONJ
cana-2634	73	17	compared	compare	VERB
cana-2634	73	18	with	with	ADP
cana-2634	73	19	traditional	traditional	ADJ
cana-2634	73	20	and	and	CCONJ
cana-2634	73	21	even	even	ADV
cana-2634	73	22	state	state	NOUN
cana-2634	73	23	-	-	PUNCT
cana-2634	73	24	of	of	ADP
cana-2634	73	25	-	-	PUNCT
cana-2634	73	26	the	the	DET
cana-2634	73	27	-	-	PUNCT
cana-2634	73	28	art	art	NOUN
cana-2634	73	29	methods	method	NOUN
cana-2634	73	30	reported	report	VERB
cana-2634	73	31	in	in	ADP
cana-2634	73	32	literature	literature	NOUN
cana-2634	73	33	works	work	NOUN
cana-2634	73	34	,	,	PUNCT
cana-2634	73	35	particularly	particularly	ADV
cana-2634	73	36	under	under	ADP
cana-2634	73	37	early	early	ADJ
cana-2634	73	38	detection	detection	NOUN
cana-2634	73	39	scenarios	scenario	NOUN
cana-2634	73	40	,	,	PUNCT
cana-2634	73	41	our	our	PRON
cana-2634	73	42	models	model	NOUN
cana-2634	73	43	exceed	exceed	VERB
cana-2634	73	44	these	these	DET
cana-2634	73	45	performances	performance	NOUN
cana-2634	73	46	.	.	PUNCT
cana-2634	74	1	efficientnet	efficientnet	PROPN
cana-2634	74	2	and	and	CCONJ
cana-2634	74	3	inception	inception	PROPN
cana-2634	74	4	v6	v6	PROPN
cana-2634	74	5	achieved	achieve	VERB
cana-2634	74	6	test	test	NOUN
cana-2634	74	7	accuracies	accuracy	NOUN
cana-2634	74	8	up	up	ADP
cana-2634	74	9	to	to	ADP
cana-2634	74	10	99.93	99.93	NUM
cana-2634	74	11	%	%	NOUN
cana-2634	74	12	,	,	PUNCT
cana-2634	74	13	far	far	ADV
cana-2634	74	14	beyond	beyond	ADP
cana-2634	74	15	most	most	ADJ
cana-2634	74	16	methods	method	NOUN
cana-2634	74	17	for	for	ADP
cana-2634	74	18	plant	plant	NOUN
cana-2634	74	19	disease	disease	NOUN
cana-2634	74	20	diagnostics	diagnostic	NOUN
cana-2634	74	21	.	.	PUNCT
cana-2634	75	1	in	in	ADP
cana-2634	75	2	short	short	ADJ
cana-2634	75	3	,	,	PUNCT
cana-2634	75	4	although	although	SCONJ
cana-2634	75	5	the	the	DET
cana-2634	75	6	use	use	NOUN
cana-2634	75	7	of	of	ADP
cana-2634	75	8	deep	deep	ADJ
cana-2634	75	9	learning	learning	NOUN
cana-2634	75	10	techniques	technique	NOUN
cana-2634	75	11	in	in	ADP
cana-2634	75	12	plant	plant	NOUN
cana-2634	75	13	disease	disease	NOUN
cana-2634	75	14	detection	detection	NOUN
cana-2634	75	15	has	have	AUX
cana-2634	75	16	been	be	AUX
cana-2634	75	17	taken	take	VERB
cana-2634	75	18	to	to	ADP
cana-2634	75	19	an	an	DET
cana-2634	75	20	entirely	entirely	ADV
cana-2634	75	21	new	new	ADJ
cana-2634	75	22	level	level	NOUN
cana-2634	75	23	through	through	ADP
cana-2634	75	24	the	the	DET
cana-2634	75	25	reviewed	review	VERB
cana-2634	75	26	works	work	NOUN
cana-2634	75	27	,	,	PUNCT
cana-2634	75	28	our	our	PRON
cana-2634	75	29	work	work	NOUN
cana-2634	75	30	showcases	showcase	VERB
cana-2634	75	31	further	further	ADJ
cana-2634	75	32	improvement	improvement	NOUN
cana-2634	75	33	.	.	PUNCT
cana-2634	76	1	the	the	DET
cana-2634	76	2	integration	integration	NOUN
cana-2634	76	3	of	of	ADP
cana-2634	76	4	spectral	spectral	ADJ
cana-2634	76	5	imaging	imaging	NOUN
cana-2634	76	6	with	with	ADP
cana-2634	76	7	cnns	cnns	ADJ
cana-2634	76	8	increases	increase	NOUN
cana-2634	76	9	accuracy	accuracy	NOUN
cana-2634	76	10	in	in	ADP
cana-2634	76	11	detections	detection	NOUN
cana-2634	76	12	.	.	PUNCT
cana-2634	77	1	still	still	ADV
cana-2634	77	2	,	,	PUNCT
cana-2634	77	3	it	it	PRON
cana-2634	77	4	also	also	ADV
cana-2634	77	5	ensures	ensure	VERB
cana-2634	77	6	early	early	ADJ
cana-2634	77	7	and	and	CCONJ
cana-2634	77	8	reliable	reliable	ADJ
cana-2634	77	9	diagnosis	diagnosis	NOUN
cana-2634	77	10	for	for	ADP
cana-2634	77	11	added	add	VERB
cana-2634	77	12	effectiveness	effectiveness	NOUN
cana-2634	77	13	in	in	ADP
cana-2634	77	14	global	global	ADJ
cana-2634	77	15	food	food	NOUN
cana-2634	77	16	security	security	NOUN
cana-2634	77	17	concerns	concern	NOUN
cana-2634	77	18	and	and	CCONJ
cana-2634	77	19	the	the	DET
cana-2634	77	20	practice	practice	NOUN
cana-2634	77	21	of	of	ADP
cana-2634	77	22	sustainable	sustainable	ADJ
cana-2634	77	23	agriculture	agriculture	NOUN
cana-2634	77	24	.	.	PUNCT
cana-2634	78	1	3	3	X
cana-2634	78	2	.	.	X
cana-2634	78	3	materials	material	NOUN
cana-2634	78	4	and	and	CCONJ
cana-2634	78	5	methods	method	NOUN
cana-2634	78	6	3.1	3.1	NUM
cana-2634	78	7	data	datum	NOUN
cana-2634	78	8	collection	collection	NOUN
cana-2634	78	9	the	the	DET
cana-2634	78	10	dataset	dataset	NOUN
cana-2634	78	11	used	use	VERB
cana-2634	78	12	in	in	ADP
cana-2634	78	13	this	this	DET
cana-2634	78	14	paper	paper	NOUN
cana-2634	78	15	is	be	AUX
cana-2634	78	16	obtained	obtain	VERB
cana-2634	78	17	from	from	ADP
cana-2634	78	18	the	the	DET
cana-2634	78	19	plant	plant	NOUN
cana-2634	78	20	village	village	NOUN
cana-2634	78	21	dataset	dataset	NOUN
cana-2634	78	22	,	,	PUNCT
cana-2634	78	23	which	which	PRON
cana-2634	78	24	contains	contain	VERB
cana-2634	78	25	rgb	rgb	PROPN
cana-2634	78	26	images	image	NOUN
cana-2634	78	27	.	.	PUNCT
cana-2634	79	1	this	this	DET
cana-2634	79	2	dataset	dataset	NOUN
cana-2634	79	3	comprises	comprise	VERB
cana-2634	79	4	around	around	ADP
cana-2634	79	5	70,000	70,000	NUM
cana-2634	79	6	photos	photo	NOUN
cana-2634	79	7	and	and	CCONJ
cana-2634	79	8	occupies	occupy	VERB
cana-2634	79	9	about	about	ADV
cana-2634	79	10	5	5	NUM
cana-2634	79	11	gigabytes	gigabyte	NOUN
cana-2634	79	12	while	while	SCONJ
cana-2634	79	13	holding	hold	VERB
cana-2634	79	14	a	a	DET
cana-2634	79	15	resolution	resolution	NOUN
cana-2634	79	16	of	of	ADP
cana-2634	79	17	256x256	256x256	PROPN
cana-2634	79	18	pixels	pixel	NOUN
cana-2634	79	19	.	.	PUNCT
cana-2634	80	1	it	it	PRON
cana-2634	80	2	covers	cover	VERB
cana-2634	80	3	a	a	DET
cana-2634	80	4	great	great	ADJ
cana-2634	80	5	diversity	diversity	NOUN
cana-2634	80	6	of	of	ADP
cana-2634	80	7	plant	plant	NOUN
cana-2634	80	8	diseases—38	diseases—38	VERB
cana-2634	80	9	different	different	ADJ
cana-2634	80	10	categories	category	NOUN
cana-2634	80	11	related	relate	VERB
cana-2634	80	12	to	to	ADP
cana-2634	80	13	14	14	NUM
cana-2634	80	14	species	specie	NOUN
cana-2634	80	15	and	and	CCONJ
cana-2634	80	16	26	26	NUM
cana-2634	80	17	other	other	ADJ
cana-2634	80	18	diseases	disease	NOUN
cana-2634	80	19	of	of	ADP
cana-2634	80	20	plants[3	plants[3	PROPN
cana-2634	80	21	]	]	PUNCT
cana-2634	80	22	.	.	PUNCT
cana-2634	81	1	this	this	PRON
cana-2634	81	2	extremely	extremely	ADV
cana-2634	81	3	rich	rich	ADJ
cana-2634	81	4	,	,	PUNCT
cana-2634	81	5	diverse	diverse	ADJ
cana-2634	81	6	dataset	dataset	NOUN
cana-2634	81	7	is	be	AUX
cana-2634	81	8	then	then	ADV
cana-2634	81	9	very	very	ADV
cana-2634	81	10	instrumental	instrumental	ADJ
cana-2634	81	11	in	in	ADP
cana-2634	81	12	the	the	DET
cana-2634	81	13	development	development	NOUN
cana-2634	81	14	and	and	CCONJ
cana-2634	81	15	evaluation	evaluation	NOUN
cana-2634	81	16	of	of	ADP
cana-2634	81	17	our	our	PRON
cana-2634	81	18	deep	deep	ADJ
cana-2634	81	19	learning	learning	NOUN
cana-2634	81	20	models	model	NOUN
cana-2634	81	21	.	.	PUNCT
cana-2634	82	1	it	it	PRON
cana-2634	82	2	contains	contain	VERB
cana-2634	82	3	images	image	NOUN
cana-2634	82	4	of	of	ADP
cana-2634	82	5	both	both	CCONJ
cana-2634	82	6	healthy	healthy	ADJ
cana-2634	82	7	and	and	CCONJ
cana-2634	82	8	diseased	diseased	ADJ
cana-2634	82	9	leaves	leave	NOUN
cana-2634	82	10	,	,	PUNCT
cana-2634	82	11	thus	thus	ADV
cana-2634	82	12	serving	serve	VERB
cana-2634	82	13	as	as	ADP
cana-2634	82	14	a	a	DET
cana-2634	82	15	vibrant	vibrant	ADJ
cana-2634	82	16	diversity	diversity	NOUN
cana-2634	82	17	of	of	ADP
cana-2634	82	18	visual	visual	ADJ
cana-2634	82	19	data	datum	NOUN
cana-2634	82	20	for	for	ADP
cana-2634	82	21	our	our	PRON
cana-2634	82	22	cnn	cnn	PROPN
cana-2634	82	23	algorithm	algorithm	NOUN
cana-2634	82	24	in	in	ADP
cana-2634	82	25	the	the	DET
cana-2634	82	26	course	course	NOUN
cana-2634	82	27	of	of	ADP
cana-2634	82	28	learning	learn	VERB
cana-2634	82	29	.	.	PUNCT
cana-2634	83	1	the	the	DET
cana-2634	83	2	model	model	NOUN
cana-2634	83	3	has	have	AUX
cana-2634	83	4	been	be	AUX
cana-2634	83	5	diversified	diversify	VERB
cana-2634	83	6	enough	enough	ADV
cana-2634	83	7	to	to	PART
cana-2634	83	8	make	make	VERB
cana-2634	83	9	sure	sure	ADJ
cana-2634	83	10	that	that	SCONJ
cana-2634	83	11	it	it	PRON
cana-2634	83	12	recognizes	recognize	VERB
cana-2634	83	13	different	different	ADJ
cana-2634	83	14	plant	plant	NOUN
cana-2634	83	15	health	health	NOUN
cana-2634	83	16	conditions	condition	NOUN
cana-2634	83	17	,	,	PUNCT
cana-2634	83	18	therefore	therefore	ADV
cana-2634	83	19	improving	improve	VERB
cana-2634	83	20	its	its	PRON
cana-2634	83	21	capability	capability	NOUN
cana-2634	83	22	to	to	PART
cana-2634	83	23	detect	detect	VERB
cana-2634	83	24	any	any	DET
cana-2634	83	25	disease	disease	NOUN
cana-2634	83	26	.	.	PUNCT
cana-2634	84	1	3.2	3.2	NUM
cana-2634	84	2	data	datum	NOUN
cana-2634	84	3	pre	pre	ADJ
cana-2634	84	4	-	-	ADJ
cana-2634	84	5	processing	processing	ADJ
cana-2634	84	6	pre	pre	NOUN
cana-2634	84	7	-	-	ADJ
cana-2634	84	8	processing	processing	NOUN
cana-2634	84	9	should	should	AUX
cana-2634	84	10	be	be	AUX
cana-2634	84	11	considered	consider	VERB
cana-2634	84	12	an	an	DET
cana-2634	84	13	essential	essential	ADJ
cana-2634	84	14	step	step	NOUN
cana-2634	84	15	in	in	ADP
cana-2634	84	16	spectral	spectral	ADJ
cana-2634	84	17	imaging	imaging	NOUN
cana-2634	84	18	data	datum	NOUN
cana-2634	84	19	preparation	preparation	NOUN
cana-2634	84	20	for	for	ADP
cana-2634	84	21	practical	practical	ADJ
cana-2634	84	22	analysis	analysis	NOUN
cana-2634	84	23	and	and	CCONJ
cana-2634	84	24	modelling	modelling	NOUN
cana-2634	84	25	.	.	PUNCT
cana-2634	85	1	in	in	ADP
cana-2634	85	2	this	this	DET
cana-2634	85	3	respect	respect	NOUN
cana-2634	85	4	,	,	PUNCT
cana-2634	85	5	the	the	DET
cana-2634	85	6	significant	significant	ADJ
cana-2634	85	7	steps	step	NOUN
cana-2634	85	8	will	will	AUX
cana-2634	85	9	comprise	comprise	VERB
cana-2634	85	10	spectral	spectral	ADJ
cana-2634	85	11	conversion	conversion	NOUN
cana-2634	85	12	,	,	PUNCT
cana-2634	85	13	normalization	normalization	NOUN
cana-2634	85	14	,	,	PUNCT
cana-2634	85	15	alignment	alignment	NOUN
cana-2634	85	16	,	,	PUNCT
cana-2634	85	17	augmentation	augmentation	NOUN
cana-2634	85	18	,	,	PUNCT
cana-2634	85	19	and	and	CCONJ
cana-2634	85	20	mathematical	mathematical	ADJ
cana-2634	85	21	modelling	modelling	NOUN
cana-2634	85	22	.	.	PUNCT
cana-2634	86	1	it	it	PRON
cana-2634	86	2	ensures	ensure	VERB
cana-2634	86	3	that	that	SCONJ
cana-2634	86	4	the	the	DET
cana-2634	86	5	dataset	dataset	NOUN
cana-2634	86	6	is	be	AUX
cana-2634	86	7	robust	robust	ADJ
cana-2634	86	8	,	,	PUNCT
cana-2634	86	9	consistent	consistent	ADJ
cana-2634	86	10	,	,	PUNCT
cana-2634	86	11	and	and	CCONJ
cana-2634	86	12	complete	complete	ADJ
cana-2634	86	13	,	,	PUNCT
cana-2634	86	14	making	make	VERB
cana-2634	86	15	convolutional	convolutional	ADJ
cana-2634	86	16	neural	neural	ADJ
cana-2634	86	17	networks	network	NOUN
cana-2634	86	18	accurate	accurate	ADJ
cana-2634	86	19	and	and	CCONJ
cana-2634	86	20	generalizing	generalize	VERB
cana-2634	86	21	within	within	ADP
cana-2634	86	22	the	the	DET
cana-2634	86	23	research	research	NOUN
cana-2634	86	24	research[4	research[4	NUM
cana-2634	86	25	]	]	PUNCT
cana-2634	86	26	.	.	PUNCT
cana-2634	87	1	spectral	spectral	ADJ
cana-2634	87	2	shaping	shape	VERB
cana-2634	87	3	the	the	DET
cana-2634	87	4	first	first	ADJ
cana-2634	87	5	,	,	PUNCT
cana-2634	87	6	most	most	ADV
cana-2634	87	7	innovative	innovative	ADJ
cana-2634	87	8	step	step	NOUN
cana-2634	87	9	in	in	ADP
cana-2634	87	10	our	our	PRON
cana-2634	87	11	pre	pre	ADJ
cana-2634	87	12	-	-	ADJ
cana-2634	87	13	processing	processing	ADJ
cana-2634	87	14	pipeline	pipeline	NOUN
cana-2634	87	15	converts	convert	VERB
cana-2634	87	16	rgb	rgb	PROPN
cana-2634	87	17	images	image	NOUN
cana-2634	87	18	from	from	ADP
cana-2634	87	19	the	the	DET
cana-2634	87	20	plant	plant	NOUN
cana-2634	87	21	village	village	NOUN
cana-2634	87	22	dataset	dataset	VERB
cana-2634	87	23	to	to	ADP
cana-2634	87	24	spectral	spectral	ADJ
cana-2634	87	25	images	image	NOUN
cana-2634	87	26	.	.	PUNCT
cana-2634	88	1	this	this	DET
cana-2634	88	2	transformation	transformation	NOUN
cana-2634	88	3	is	be	AUX
cana-2634	88	4	critical	critical	ADJ
cana-2634	88	5	in	in	ADP
cana-2634	88	6	the	the	DET
cana-2634	88	7	capturing	capturing	NOUN
cana-2634	88	8	of	of	ADP
cana-2634	88	9	detailed	detailed	ADJ
cana-2634	88	10	spectral	spectral	ADJ
cana-2634	88	11	signatures	signature	NOUN
cana-2634	88	12	over	over	ADP
cana-2634	88	13	all	all	DET
cana-2634	88	14	infrared	infrared	ADJ
cana-2634	88	15	and	and	CCONJ
cana-2634	88	16	ultraviolet	ultraviolet	ADJ
cana-2634	88	17	bands	band	NOUN
cana-2634	88	18	.	.	PUNCT
cana-2634	89	1	the	the	DET
cana-2634	89	2	methods	method	NOUN
cana-2634	89	3	for	for	ADP
cana-2634	89	4	spectral	spectral	ADJ
cana-2634	89	5	conversion	conversion	NOUN
cana-2634	89	6	followed	follow	VERB
cana-2634	89	7	are	be	AUX
cana-2634	89	8	as	as	SCONJ
cana-2634	89	9	stated	state	VERB
cana-2634	89	10	below[5	below[5	NOUN
cana-2634	89	11	]	]	NOUN
cana-2634	89	12	:	:	PUNCT
cana-2634	89	13	1	1	X
cana-2634	89	14	.	.	X
cana-2634	89	15	simulated	simulate	VERB
cana-2634	89	16	spectral	spectral	ADJ
cana-2634	89	17	conversion	conversion	NOUN
cana-2634	89	18	:	:	PUNCT
cana-2634	89	19	the	the	DET
cana-2634	89	20	rgb	rgb	PROPN
cana-2634	89	21	images	image	NOUN
cana-2634	89	22	were	be	AUX
cana-2634	89	23	first	first	ADV
cana-2634	89	24	converted	convert	VERB
cana-2634	89	25	into	into	ADP
cana-2634	89	26	a	a	DET
cana-2634	89	27	significantly	significantly	ADV
cana-2634	89	28	more	more	ADV
cana-2634	89	29	significant	significant	ADJ
cana-2634	89	30	number	number	NOUN
cana-2634	89	31	of	of	ADP
cana-2634	89	32	spectral	spectral	ADJ
cana-2634	89	33	bands	band	NOUN
cana-2634	89	34	by	by	ADP
cana-2634	89	35	more	more	ADV
cana-2634	89	36	sophisticated	sophisticated	ADJ
cana-2634	89	37	procedures	procedure	NOUN
cana-2634	89	38	.	.	PUNCT
cana-2634	90	1	they	they	PRON
cana-2634	90	2	are	be	AUX
cana-2634	90	3	estimates	estimate	NOUN
cana-2634	90	4	of	of	ADP
cana-2634	90	5	the	the	DET
cana-2634	90	6	pixel	pixel	ADJ
cana-2634	90	7	-	-	ADJ
cana-2634	90	8	wise	wise	ADJ
cana-2634	90	9	spectral	spectral	ADJ
cana-2634	90	10	reflectance	reflectance	NOUN
cana-2634	90	11	values	value	NOUN
cana-2634	90	12	based	base	VERB
cana-2634	90	13	on	on	ADP
cana-2634	90	14	known	known	ADJ
cana-2634	90	15	relationships	relationship	NOUN
cana-2634	90	16	between	between	ADP
cana-2634	90	17	rgb	rgb	PROPN
cana-2634	90	18	values	value	NOUN
cana-2634	90	19	and	and	CCONJ
cana-2634	90	20	spectral	spectral	ADJ
cana-2634	90	21	properties	property	NOUN
cana-2634	90	22	.	.	PUNCT
cana-2634	91	1	the	the	DET
cana-2634	91	2	standard	standard	ADJ
cana-2634	91	3	approach	approach	NOUN
cana-2634	91	4	is	be	AUX
cana-2634	91	5	to	to	PART
cana-2634	91	6	model	model	VERB
cana-2634	91	7	spectral	spectral	ADJ
cana-2634	91	8	reflectance	reflectance	NOUN
cana-2634	91	9	𝑅(𝜆	𝑅(𝜆	PUNCT
cana-2634	91	10	)	)	PUNCT
cana-2634	91	11	as	as	ADP
cana-2634	91	12	a	a	DET
cana-2634	91	13	function	function	NOUN
cana-2634	91	14	of	of	ADP
cana-2634	91	15	wavelength	wavelength	NOUN
cana-2634	91	16	𝜆	𝜆	ADP
cana-2634	91	17	,	,	PUNCT
cana-2634	91	18	where	where	SCONJ
cana-2634	91	19	𝜆	𝜆	DET
cana-2634	91	20	−	−	PROPN
cana-2634	92	1	[	[	X
cana-2634	92	2	𝜆1	𝜆1	NOUN
cana-2634	92	3	,	,	PUNCT
cana-2634	92	4	𝜆2	𝜆2	PROPN
cana-2634	92	5	,	,	PUNCT
cana-2634	92	6	…	…	PUNCT
cana-2634	92	7	,	,	PUNCT
cana-2634	92	8	𝜆𝐿	𝜆𝐿	CCONJ
cana-2634	92	9	]	]	PUNCT
cana-2634	92	10	is	be	AUX
cana-2634	92	11	a	a	DET
cana-2634	92	12	vector	vector	NOUN
cana-2634	92	13	with	with	ADP
cana-2634	92	14	lelements	lelement	NOUN
cana-2634	92	15	which	which	PRON
cana-2634	92	16	represents	represent	VERB
cana-2634	92	17	a	a	DET
cana-2634	92	18	region	region	NOUN
cana-2634	92	19	of	of	ADP
cana-2634	92	20	the	the	DET
cana-2634	92	21	spectrum	spectrum	NOUN
cana-2634	92	22	from	from	ADP
cana-2634	92	23	𝜆1	𝜆1	PROPN
cana-2634	92	24	.	.	PUNCT
cana-2634	93	1	spectral	spectral	ADJ
cana-2634	93	2	band	band	NOUN
cana-2634	93	3	simulation	simulation	NOUN
cana-2634	93	4	2	2	NUM
cana-2634	93	5	.	.	PUNCT
cana-2634	93	6	generating	generate	VERB
cana-2634	93	7	corresponding	correspond	VERB
cana-2634	93	8	values	value	NOUN
cana-2634	93	9	:	:	PUNCT
cana-2634	93	10	at	at	ADP
cana-2634	93	11	each	each	DET
cana-2634	93	12	spectrally	spectrally	ADV
cana-2634	93	13	banded	band	VERB
cana-2634	93	14	pixel	pixel	NOUN
cana-2634	93	15	,	,	PUNCT
cana-2634	93	16	the	the	DET
cana-2634	93	17	values	value	NOUN
cana-2634	93	18	from	from	ADP
cana-2634	93	19	both	both	CCONJ
cana-2634	93	20	the	the	DET
cana-2634	93	21	input	input	NOUN
cana-2634	93	22	rgb	rgb	PROPN
cana-2634	93	23	and	and	CCONJ
cana-2634	93	24	the	the	DET
cana-2634	93	25	three	three	NUM
cana-2634	93	26	sets	set	NOUN
cana-2634	93	27	of	of	ADP
cana-2634	93	28	gndv1	gndv1	NOUN
cana-2634	93	29	bands	band	NOUN
cana-2634	93	30	were	be	AUX
cana-2634	93	31	all	all	PRON
cana-2634	93	32	simulated	simulate	VERB
cana-2634	93	33	across	across	ADP
cana-2634	93	34	a	a	DET
cana-2634	93	35	continuous	continuous	ADJ
cana-2634	93	36	wavelength	wavelength	NOUN
cana-2634	93	37	from	from	ADP
cana-2634	93	38	visible	visible	ADJ
cana-2634	93	39	to	to	ADP
cana-2634	93	40	near	near	ADV
cana-2634	93	41	-	-	PUNCT
cana-2634	93	42	infrared	infrared	ADJ
cana-2634	93	43	and	and	CCONJ
cana-2634	93	44	ultraviolet	ultraviolet	NOUN
cana-2634	93	45	:	:	PUNCT
cana-2634	93	46	the	the	DET
cana-2634	93	47	input	input	NOUN
cana-2634	93	48	rgb	rgb	PROPN
cana-2634	93	49	pixel	pixel	PROPN
cana-2634	93	50	values	value	NOUN
cana-2634	93	51	[	[	X
cana-2634	93	52	𝑅	𝑅	PROPN
cana-2634	93	53	,	,	PUNCT
cana-2634	93	54	𝐺	𝐺	PROPN
cana-2634	93	55	,	,	PUNCT
cana-2634	93	56	𝐵	𝐵	PROPN
cana-2634	93	57	]	]	PUNCT
cana-2634	93	58	are	be	AUX
cana-2634	93	59	transformed	transform	VERB
cana-2634	93	60	by	by	ADP
cana-2634	93	61	a	a	DET
cana-2634	93	62	mapping	mapping	NOUN
cana-2634	93	63	function	function	NOUN
cana-2634	93	64	𝑓	𝑓	X
cana-2634	93	65	:	:	PUNCT
cana-2634	93	66	𝑆(𝜆	𝑆(𝜆	NUM
cana-2634	93	67	)	)	PUNCT
cana-2634	93	68	−	−	NOUN
cana-2634	93	69	𝑓(𝑅	𝑓(𝑅	NOUN
cana-2634	93	70	,	,	PUNCT
cana-2634	93	71	𝐺	𝐺	PROPN
cana-2634	93	72	,	,	PUNCT
cana-2634	93	73	𝐵	𝐵	PROPN
cana-2634	93	74	)	)	PUNCT
cana-2634	93	75	here	here	ADV
cana-2634	93	76	𝑆(𝜆	𝑆(𝜆	NUM
cana-2634	93	77	)	)	PUNCT
cana-2634	93	78	is	be	AUX
cana-2634	93	79	the	the	DET
cana-2634	93	80	spectral	spectral	ADJ
cana-2634	93	81	reflectance	reflectance	NOUN
cana-2634	93	82	at	at	ADP
cana-2634	93	83	wavelength	wavelength	NOUN
cana-2634	93	84	𝜆.	𝜆.	NOUN
cana-2634	94	1	3	3	X
cana-2634	94	2	.	.	PUNCT
cana-2634	94	3	mathematical	mathematical	ADJ
cana-2634	94	4	modeling	modeling	NOUN
cana-2634	94	5	:	:	PUNCT
cana-2634	94	6	various	various	ADJ
cana-2634	94	7	interpolation	interpolation	NOUN
cana-2634	94	8	techniques	technique	NOUN
cana-2634	94	9	were	be	AUX
cana-2634	94	10	applied	apply	VERB
cana-2634	94	11	to	to	ADP
cana-2634	94	12	the	the	DET
cana-2634	94	13	measured	measured	ADJ
cana-2634	94	14	reflectance	reflectance	NOUN
cana-2634	94	15	values	value	NOUN
cana-2634	94	16	to	to	PART
cana-2634	94	17	derive	derive	VERB
cana-2634	94	18	an	an	DET
cana-2634	94	19	estimate	estimate	NOUN
cana-2634	94	20	of	of	ADP
cana-2634	94	21	the	the	DET
cana-2634	94	22	reflectance	reflectance	NOUN
cana-2634	94	23	value	value	NOUN
cana-2634	94	24	at	at	ADP
cana-2634	94	25	additional	additional	ADJ
cana-2634	94	26	wavelengths	wavelength	NOUN
cana-2634	94	27	of	of	ADP
cana-2634	94	28	light	light	NOUN
cana-2634	94	29	,	,	PUNCT
cana-2634	94	30	in	in	ADP
cana-2634	94	31	turn	turn	NOUN
cana-2634	94	32	yielding	yield	VERB
cana-2634	94	33	synthetic	synthetic	ADJ
cana-2634	94	34	spectral	spectral	ADJ
cana-2634	94	35	bands	band	NOUN
cana-2634	94	36	.	.	PUNCT
cana-2634	95	1	standard	standard	ADJ
cana-2634	95	2	interpolation	interpolation	NOUN
cana-2634	95	3	techniques	technique	NOUN
cana-2634	95	4	such	such	ADJ
cana-2634	95	5	as	as	ADP
cana-2634	95	6	linear	linear	ADJ
cana-2634	95	7	or	or	CCONJ
cana-2634	95	8	spline	spline	NOUN
cana-2634	95	9	interpolation	interpolation	NOUN
cana-2634	95	10	will	will	AUX
cana-2634	95	11	be	be	AUX
cana-2634	95	12	used	use	VERB
cana-2634	95	13	to	to	PART
cana-2634	95	14	estimate	estimate	VERB
cana-2634	95	15	the	the	DET
cana-2634	95	16	reflectance	reflectance	NOUN
cana-2634	95	17	values	value	NOUN
cana-2634	95	18	at	at	ADP
cana-2634	95	19	specific	specific	ADJ
cana-2634	95	20	wavelengths[6].linear	wavelengths[6].linear	NOUN
cana-2634	95	21	interpolation	interpolation	NOUN
cana-2634	95	22	formula	formula	NOUN
cana-2634	95	23	written	write	VERB
cana-2634	95	24	as	as	ADP
cana-2634	95	25	:	:	PUNCT
cana-2634	95	26	communications	communication	NOUN
cana-2634	95	27	on	on	ADP
cana-2634	95	28	applied	apply	VERB
cana-2634	95	29	nonlinear	nonlinear	ADJ
cana-2634	95	30	analysis	analysis	NOUN
cana-2634	95	31	issn	issn	NOUN
cana-2634	95	32	:	:	PUNCT
cana-2634	95	33	1074	1074	NUM
cana-2634	95	34	-	-	PUNCT
cana-2634	95	35	133x	133x	NUM
cana-2634	95	36	vol	vol	NOUN
cana-2634	95	37	32	32	NUM
cana-2634	95	38	no	no	NOUN
cana-2634	95	39	.	.	PUNCT
cana-2634	96	1	3s	3s	NUM
cana-2634	96	2	(	(	PUNCT
cana-2634	96	3	2025	2025	NUM
cana-2634	96	4	)	)	PUNCT
cana-2634	96	5	235	235	NUM
cana-2634	96	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	96	7	𝑆(𝜆	𝑆(𝜆	NUM
cana-2634	96	8	)	)	PUNCT
cana-2634	96	9	−	−	PROPN
cana-2634	96	10	𝑆(𝜆1	𝑆(𝜆1	PROPN
cana-2634	96	11	)	)	PUNCT
cana-2634	96	12	+	+	CCONJ
cana-2634	96	13	(	(	PUNCT
cana-2634	96	14	𝜆	𝜆	DET
cana-2634	96	15	−	−	PROPN
cana-2634	96	16	𝜆1	𝜆1	NOUN
cana-2634	96	17	)	)	PUNCT
cana-2634	96	18	(	(	PUNCT
cana-2634	96	19	𝜆2	𝜆2	NOUN
cana-2634	96	20	−	−	PROPN
cana-2634	96	21	𝜆1	𝜆1	PROPN
cana-2634	96	22	)	)	PUNCT
cana-2634	96	23	×	×	NOUN
cana-2634	96	24	(	(	PUNCT
cana-2634	96	25	𝑆(𝜆2	𝑆(𝜆2	ADJ
cana-2634	96	26	)	)	PUNCT
cana-2634	96	27	−	−	PROPN
cana-2634	96	28	𝑆(𝜆1	𝑆(𝜆1	PROPN
cana-2634	96	29	)	)	PUNCT
cana-2634	96	30	)	)	PUNCT
cana-2634	96	31	where	where	SCONJ
cana-2634	96	32	𝜆1	𝜆1	NOUN
cana-2634	96	33	and	and	CCONJ
cana-2634	96	34	𝜆2	𝜆2	NOUN
cana-2634	96	35	are	be	AUX
cana-2634	96	36	the	the	DET
cana-2634	96	37	known	know	VERB
cana-2634	96	38	wavelengths	wavelength	NOUN
cana-2634	96	39	around	around	ADP
cana-2634	96	40	the	the	DET
cana-2634	96	41	target	target	NOUN
cana-2634	96	42	wavelength	wavelength	NOUN
cana-2634	96	43	𝜆	𝜆	ADP
cana-2634	96	44	,	,	PUNCT
cana-2634	96	45	and	and	CCONJ
cana-2634	96	46	𝑆(𝜆1	𝑆(𝜆1	PROPN
cana-2634	96	47	)	)	PUNCT
cana-2634	96	48	and	and	CCONJ
cana-2634	96	49	𝑆(𝜆2	𝑆(𝜆2	ADJ
cana-2634	96	50	)	)	PUNCT
cana-2634	96	51	are	be	AUX
cana-2634	96	52	the	the	DET
cana-2634	96	53	spectral	spectral	ADJ
cana-2634	96	54	values	value	NOUN
cana-2634	96	55	at	at	ADP
cana-2634	96	56	these	these	DET
cana-2634	96	57	wavelengths	wavelength	NOUN
cana-2634	96	58	.	.	PUNCT
cana-2634	97	1	integration	integration	NOUN
cana-2634	97	2	of	of	ADP
cana-2634	97	3	spectral	spectral	ADJ
cana-2634	97	4	bands	band	NOUN
cana-2634	97	5	4	4	NUM
cana-2634	97	6	.	.	PUNCT
cana-2634	97	7	creating	create	VERB
cana-2634	97	8	multi	multi	ADJ
cana-2634	97	9	-	-	ADJ
cana-2634	97	10	dimensional	dimensional	ADJ
cana-2634	97	11	images	image	NOUN
cana-2634	97	12	:	:	PUNCT
cana-2634	97	13	this	this	DET
cana-2634	97	14	newly	newly	ADV
cana-2634	97	15	synthesized	synthesize	VERB
cana-2634	97	16	spectral	spectral	ADJ
cana-2634	97	17	band	band	NOUN
cana-2634	97	18	was	be	AUX
cana-2634	97	19	then	then	ADV
cana-2634	97	20	combined	combine	VERB
cana-2634	97	21	with	with	ADP
cana-2634	97	22	the	the	DET
cana-2634	97	23	already	already	ADV
cana-2634	97	24	existing	exist	VERB
cana-2634	97	25	rvgb	rvgb	NOUN
cana-2634	97	26	data	datum	NOUN
cana-2634	97	27	into	into	ADP
cana-2634	97	28	multidimensional	multidimensional	ADJ
cana-2634	97	29	images	image	NOUN
cana-2634	97	30	that	that	PRON
cana-2634	97	31	consisted	consist	VERB
cana-2634	97	32	of	of	ADP
cana-2634	97	33	several	several	ADJ
cana-2634	97	34	such	such	ADJ
cana-2634	97	35	layers	layer	NOUN
cana-2634	97	36	,	,	PUNCT
cana-2634	97	37	each	each	DET
cana-2634	97	38	corresponding	correspond	VERB
cana-2634	97	39	to	to	ADP
cana-2634	97	40	a	a	DET
cana-2634	97	41	different	different	ADJ
cana-2634	97	42	wavelength	wavelength	NOUN
cana-2634	97	43	band	band	NOUN
cana-2634	97	44	.	.	PUNCT
cana-2634	98	1	this	this	PRON
cana-2634	98	2	can	can	AUX
cana-2634	98	3	be	be	AUX
cana-2634	98	4	mathematically	mathematically	ADV
cana-2634	98	5	formulated	formulate	VERB
cana-2634	98	6	as	as	ADP
cana-2634	98	7	stacking	stack	VERB
cana-2634	98	8	the	the	DET
cana-2634	98	9	spectral	spectral	ADJ
cana-2634	98	10	bands	band	NOUN
cana-2634	98	11	,	,	PUNCT
cana-2634	98	12	𝑆(𝜆𝑖	𝑆(𝜆𝑖	PROPN
cana-2634	98	13	)	)	PUNCT
cana-2634	98	14	,	,	PUNCT
cana-2634	98	15	into	into	ADP
cana-2634	98	16	a	a	DET
cana-2634	98	17	multidimensional	multidimensional	ADJ
cana-2634	98	18	tensor	tensor	NOUN
cana-2634	98	19	:	:	PUNCT
cana-2634	99	1	𝐼muli	𝐼muli	PROPN
cana-2634	99	2	=	=	PUNCT
cana-2634	100	1	[	[	X
cana-2634	100	2	𝑆(𝜆1	𝑆(𝜆1	PROPN
cana-2634	100	3	)	)	PUNCT
cana-2634	100	4	,	,	PUNCT
cana-2634	100	5	𝑆(𝜆2	𝑆(𝜆2	ADJ
cana-2634	100	6	)	)	PUNCT
cana-2634	100	7	,	,	PUNCT
cana-2634	100	8	…	…	PUNCT
cana-2634	100	9	,	,	PUNCT
cana-2634	100	10	𝑆(𝜆𝑛	𝑆(𝜆𝑛	PROPN
cana-2634	100	11	)	)	PUNCT
cana-2634	100	12	]	]	PUNCT
cana-2634	100	13	where	where	SCONJ
cana-2634	100	14	𝐼umati	𝐼umati	PROPN
cana-2634	100	15	is	be	AUX
cana-2634	100	16	the	the	DET
cana-2634	100	17	multi	multi	ADJ
cana-2634	100	18	-	-	ADJ
cana-2634	100	19	dimensional	dimensional	ADJ
cana-2634	100	20	image	image	NOUN
cana-2634	100	21	tensor	tensor	NOUN
cana-2634	100	22	and	and	CCONJ
cana-2634	100	23	𝑆(𝜆𝑖	𝑆(𝜆𝑖	NOUN
cana-2634	100	24	)	)	PUNCT
cana-2634	100	25	is	be	AUX
cana-2634	100	26	the	the	DET
cana-2634	100	27	spectral	spectral	ADJ
cana-2634	100	28	band	band	NOUN
cana-2634	100	29	at	at	ADP
cana-2634	100	30	wavelength	wavelength	NOUN
cana-2634	100	31	𝜆𝑖.	𝜆𝑖.	DET
cana-2634	100	32	this	this	PRON
cana-2634	100	33	is	be	AUX
cana-2634	100	34	an	an	DET
cana-2634	100	35	essential	essential	ADJ
cana-2634	100	36	step	step	NOUN
cana-2634	100	37	because	because	SCONJ
cana-2634	100	38	different	different	ADJ
cana-2634	100	39	physiological	physiological	ADJ
cana-2634	100	40	changes	change	NOUN
cana-2634	100	41	in	in	ADP
cana-2634	100	42	plants	plant	NOUN
cana-2634	100	43	can	can	AUX
cana-2634	100	44	be	be	AUX
cana-2634	100	45	displayed	display	VERB
cana-2634	100	46	at	at	ADP
cana-2634	100	47	other	other	ADJ
cana-2634	100	48	wavelengths	wavelength	NOUN
cana-2634	100	49	,	,	PUNCT
cana-2634	100	50	which	which	PRON
cana-2634	100	51	will	will	AUX
cana-2634	100	52	not	not	PART
cana-2634	100	53	be	be	AUX
cana-2634	100	54	visible	visible	ADJ
cana-2634	100	55	in	in	ADP
cana-2634	100	56	the	the	DET
cana-2634	100	57	rgb	rgb	PROPN
cana-2634	100	58	spectrum	spectrum	NOUN
cana-2634	100	59	;	;	PUNCT
cana-2634	100	60	hence	hence	ADV
cana-2634	100	61	,	,	PUNCT
cana-2634	100	62	this	this	PRON
cana-2634	100	63	will	will	AUX
cana-2634	100	64	result	result	VERB
cana-2634	100	65	in	in	ADP
cana-2634	100	66	detecting	detect	VERB
cana-2634	100	67	diseases	disease	NOUN
cana-2634	100	68	at	at	ADP
cana-2634	100	69	an	an	DET
cana-2634	100	70	early	early	ADJ
cana-2634	100	71	stage	stage	NOUN
cana-2634	100	72	.	.	PUNCT
cana-2634	101	1	preprocessing	preprocesse	VERB
cana-2634	101	2	after	after	SCONJ
cana-2634	101	3	the	the	DET
cana-2634	101	4	spectral	spectral	ADJ
cana-2634	101	5	images	image	NOUN
cana-2634	101	6	are	be	AUX
cana-2634	101	7	ready	ready	ADJ
cana-2634	101	8	,	,	PUNCT
cana-2634	101	9	the	the	DET
cana-2634	101	10	aim	aim	NOUN
cana-2634	101	11	is	be	AUX
cana-2634	101	12	to	to	PART
cana-2634	101	13	get	get	VERB
cana-2634	101	14	all	all	DET
cana-2634	101	15	the	the	DET
cana-2634	101	16	images	image	NOUN
cana-2634	101	17	on	on	ADP
cana-2634	101	18	a	a	DET
cana-2634	101	19	common	common	ADJ
cana-2634	101	20	scale	scale	NOUN
cana-2634	101	21	with	with	ADP
cana-2634	101	22	good	good	ADJ
cana-2634	101	23	quality	quality	NOUN
cana-2634	101	24	,	,	PUNCT
cana-2634	101	25	which	which	PRON
cana-2634	101	26	is	be	AUX
cana-2634	101	27	done	do	VERB
cana-2634	101	28	through	through	ADP
cana-2634	101	29	the	the	DET
cana-2634	101	30	following[7,8	following[7,8	PROPN
cana-2634	101	31	]	]	PUNCT
cana-2634	101	32	:	:	PUNCT
cana-2634	101	33	1	1	NUM
cana-2634	101	34	normalization	normalization	NOUN
cana-2634	101	35	:	:	PUNCT
cana-2634	101	36	•	•	NUM
cana-2634	101	37	min	min	ADJ
cana-2634	101	38	-	-	ADJ
cana-2634	101	39	max	max	ADJ
cana-2634	101	40	scaling	scaling	NOUN
cana-2634	101	41	:	:	PUNCT
cana-2634	101	42	linearly	linearly	ADV
cana-2634	101	43	scaling	scale	VERB
cana-2634	101	44	pixel	pixel	ADJ
cana-2634	101	45	values	value	NOUN
cana-2634	101	46	based	base	VERB
cana-2634	101	47	on	on	ADP
cana-2634	101	48	the	the	DET
cana-2634	101	49	minimum	minimum	ADJ
cana-2634	101	50	and	and	CCONJ
cana-2634	101	51	maximum	maximum	ADJ
cana-2634	101	52	values	value	NOUN
cana-2634	101	53	observed	observe	VERB
cana-2634	101	54	.	.	PUNCT
cana-2634	102	1	𝑆mem	𝑆mem	PROPN
cana-2634	102	2	(	(	PUNCT
cana-2634	102	3	𝜆	𝜆	X
cana-2634	102	4	)	)	PUNCT
cana-2634	102	5	=	=	SYM
cana-2634	102	6	𝑆(𝜆	𝑆(𝜆	X
cana-2634	102	7	)	)	PUNCT
cana-2634	102	8	−	−	PROPN
cana-2634	102	9	𝑆min	𝑆min	PROPN
cana-2634	102	10	𝑆max	𝑆max	PROPN
cana-2634	102	11	−	−	PROPN
cana-2634	102	12	𝑆min	𝑆min	PROPN
cana-2634	102	13	•	•	NOUN
cana-2634	102	14	z	z	NOUN
cana-2634	102	15	-	-	PUNCT
cana-2634	102	16	score	score	NOUN
cana-2634	102	17	normalization	normalization	NOUN
cana-2634	102	18	:	:	PUNCT
cana-2634	102	19	this	this	PRON
cana-2634	102	20	is	be	AUX
cana-2634	102	21	done	do	VERB
cana-2634	102	22	by	by	ADP
cana-2634	102	23	subtracting	subtract	VERB
cana-2634	102	24	the	the	DET
cana-2634	102	25	mean	mean	NOUN
cana-2634	102	26	and	and	CCONJ
cana-2634	102	27	division	division	NOUN
cana-2634	102	28	through	through	ADP
cana-2634	102	29	standard	standard	ADJ
cana-2634	102	30	deviation	deviation	NOUN
cana-2634	102	31	,	,	PUNCT
cana-2634	102	32	which	which	PRON
cana-2634	102	33	converts	convert	VERB
cana-2634	102	34	it	it	PRON
cana-2634	102	35	to	to	ADP
cana-2634	102	36	a	a	DET
cana-2634	102	37	more	more	ADV
cana-2634	102	38	standardized	standardized	ADJ
cana-2634	102	39	range	range	NOUN
cana-2634	102	40	.	.	PUNCT
cana-2634	103	1	𝑆marcre	𝑆marcre	PROPN
cana-2634	103	2	(	(	PUNCT
cana-2634	103	3	𝜆	𝜆	X
cana-2634	103	4	)	)	PUNCT
cana-2634	103	5	=	=	SYM
cana-2634	103	6	𝑆(𝜆	𝑆(𝜆	PROPN
cana-2634	103	7	)	)	PUNCT
cana-2634	103	8	−	−	ADP
cana-2634	103	9	𝜇	𝜇	ADP
cana-2634	103	10	𝜎	𝜎	PROPN
cana-2634	103	11	2	2	NUM
cana-2634	103	12	alignment	alignment	NOUN
cana-2634	103	13	:	:	PUNCT
cana-2634	103	14	•	•	NUM
cana-2634	103	15	image	image	NOUN
cana-2634	103	16	registration	registration	NOUN
cana-2634	103	17	:	:	PUNCT
cana-2634	103	18	spectral	spectral	ADJ
cana-2634	103	19	bands	band	NOUN
cana-2634	103	20	alignment	alignment	NOUN
cana-2634	103	21	of	of	ADP
cana-2634	103	22	shifting	shift	VERB
cana-2634	103	23	,	,	PUNCT
cana-2634	103	24	rotating	rotating	NOUN
cana-2634	103	25	,	,	PUNCT
cana-2634	103	26	or	or	CCONJ
cana-2634	103	27	scaling	scale	VERB
cana-2634	103	28	images	image	NOUN
cana-2634	103	29	to	to	PART
cana-2634	103	30	get	get	VERB
cana-2634	103	31	the	the	DET
cana-2634	103	32	same	same	ADJ
cana-2634	103	33	image	image	NOUN
cana-2634	103	34	elements	element	NOUN
cana-2634	103	35	in	in	ADP
cana-2634	103	36	all	all	DET
cana-2634	103	37	bands[9	bands[9	NOUN
cana-2634	103	38	]	]	PUNCT
cana-2634	103	39	.	.	PUNCT
cana-2634	104	1	•	•	NUM
cana-2634	104	2	cross	cross	NOUN
cana-2634	104	3	-	-	NOUN
cana-2634	104	4	correlation	correlation	NOUN
cana-2634	104	5	:	:	PUNCT
cana-2634	104	6	techniques	technique	NOUN
cana-2634	104	7	like	like	ADP
cana-2634	104	8	cross	cross	NOUN
cana-2634	104	9	-	-	NOUN
cana-2634	104	10	correlation	correlation	NOUN
cana-2634	104	11	are	be	AUX
cana-2634	104	12	employed	employ	VERB
cana-2634	104	13	in	in	ADP
cana-2634	104	14	estimating	estimate	VERB
cana-2634	104	15	the	the	DET
cana-2634	104	16	similarity	similarity	NOUN
cana-2634	104	17	of	of	ADP
cana-2634	104	18	bands	band	NOUN
cana-2634	104	19	between	between	ADP
cana-2634	104	20	the	the	DET
cana-2634	104	21	spectra	spectra	NOUN
cana-2634	104	22	for	for	ADP
cana-2634	104	23	adjusting	adjust	VERB
cana-2634	104	24	the	the	DET
cana-2634	104	25	alignment	alignment	NOUN
cana-2634	104	26	with	with	ADP
cana-2634	104	27	more	more	ADV
cana-2634	104	28	accurate	accurate	ADJ
cana-2634	104	29	results	result	NOUN
cana-2634	104	30	.	.	PUNCT
cana-2634	105	1	data	datum	NOUN
cana-2634	105	2	augmentation	augmentation	VERB
cana-2634	105	3	a	a	DET
cana-2634	105	4	series	series	NOUN
cana-2634	105	5	of	of	ADP
cana-2634	105	6	data	datum	NOUN
cana-2634	105	7	augmentation	augmentation	NOUN
cana-2634	105	8	techniques	technique	NOUN
cana-2634	105	9	can	can	AUX
cana-2634	105	10	be	be	AUX
cana-2634	105	11	applied	apply	VERB
cana-2634	105	12	with	with	ADP
cana-2634	105	13	this	this	PRON
cana-2634	105	14	for	for	ADP
cana-2634	105	15	enhancing	enhance	VERB
cana-2634	105	16	robustness	robustness	NOUN
cana-2634	105	17	and	and	CCONJ
cana-2634	105	18	generalization[11	generalization[11	NOUN
cana-2634	105	19	]	]	X
cana-2634	105	20	:	:	PUNCT
cana-2634	105	21	rotation	rotation	NOUN
cana-2634	105	22	:	:	PUNCT
cana-2634	105	23	the	the	DET
cana-2634	105	24	pictures	picture	NOUN
cana-2634	105	25	have	have	AUX
cana-2634	105	26	been	be	AUX
cana-2634	105	27	rotated	rotate	VERB
cana-2634	105	28	at	at	ADP
cana-2634	105	29	different	different	ADJ
cana-2634	105	30	rotations	rotation	NOUN
cana-2634	105	31	.	.	PUNCT
cana-2634	106	1	scaling	scaling	NOUN
cana-2634	106	2	:	:	PUNCT
cana-2634	106	3	images	image	NOUN
cana-2634	106	4	have	have	AUX
cana-2634	106	5	been	be	AUX
cana-2634	106	6	scaled	scale	VERB
cana-2634	106	7	by	by	ADP
cana-2634	106	8	varying	vary	VERB
cana-2634	106	9	factors	factor	NOUN
cana-2634	106	10	.	.	PUNCT
cana-2634	107	1	flipping	flip	VERB
cana-2634	107	2	:	:	PUNCT
cana-2634	107	3	horizontal	horizontal	ADJ
cana-2634	107	4	and	and	CCONJ
cana-2634	107	5	vertical	vertical	ADJ
cana-2634	107	6	flipping	flipping	NOUN
cana-2634	107	7	of	of	ADP
cana-2634	107	8	images	image	NOUN
cana-2634	107	9	.	.	PUNCT
cana-2634	108	1	translation	translation	NOUN
cana-2634	108	2	:	:	PUNCT
cana-2634	108	3	shifting	shift	VERB
cana-2634	108	4	images	image	NOUN
cana-2634	108	5	horizontally	horizontally	ADV
cana-2634	108	6	or	or	CCONJ
cana-2634	108	7	vertically	vertically	ADV
cana-2634	108	8	.	.	PUNCT
cana-2634	109	1	noise	noise	NOUN
cana-2634	109	2	addition	addition	NOUN
cana-2634	109	3	:	:	PUNCT
cana-2634	109	4	adding	add	VERB
cana-2634	109	5	small	small	ADJ
cana-2634	109	6	amounts	amount	NOUN
cana-2634	109	7	of	of	ADP
cana-2634	109	8	noise	noise	NOUN
cana-2634	109	9	to	to	PART
cana-2634	109	10	simulate	simulate	VERB
cana-2634	109	11	variability	variability	NOUN
cana-2634	109	12	.	.	PUNCT
cana-2634	110	1	communications	communication	NOUN
cana-2634	110	2	on	on	ADP
cana-2634	110	3	applied	apply	VERB
cana-2634	110	4	nonlinear	nonlinear	ADJ
cana-2634	110	5	analysis	analysis	NOUN
cana-2634	110	6	issn	issn	NOUN
cana-2634	110	7	:	:	PUNCT
cana-2634	110	8	1074	1074	NUM
cana-2634	110	9	-	-	PUNCT
cana-2634	110	10	133x	133x	NUM
cana-2634	110	11	vol	vol	NOUN
cana-2634	110	12	32	32	NUM
cana-2634	110	13	no	no	NOUN
cana-2634	110	14	.	.	PUNCT
cana-2634	111	1	3s	3s	NUM
cana-2634	111	2	(	(	PUNCT
cana-2634	111	3	2025	2025	NUM
cana-2634	111	4	)	)	PUNCT
cana-2634	111	5	236	236	NUM
cana-2634	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	111	7	figure	figure	NOUN
cana-2634	111	8	2	2	NUM
cana-2634	111	9	:	:	PUNCT
cana-2634	111	10	sample	sample	NOUN
cana-2634	111	11	images	image	NOUN
cana-2634	111	12	from	from	ADP
cana-2634	111	13	dataset	dataset	NOUN
cana-2634	111	14	converted	convert	VERB
cana-2634	111	15	to	to	ADP
cana-2634	111	16	spectral	spectral	ADJ
cana-2634	111	17	image	image	NOUN
cana-2634	111	18	3.3	3.3	NUM
cana-2634	111	19	model	model	NOUN
cana-2634	111	20	adaptation	adaptation	NOUN
cana-2634	111	21	and	and	CCONJ
cana-2634	111	22	learning	learn	VERB
cana-2634	111	23	standard	standard	PROPN
cana-2634	111	24	cnn	cnn	PROPN
cana-2634	111	25	architectures	architecture	NOUN
cana-2634	111	26	were	be	AUX
cana-2634	111	27	deeply	deeply	ADV
cana-2634	111	28	adapted	adapt	VERB
cana-2634	111	29	to	to	PART
cana-2634	111	30	be	be	AUX
cana-2634	111	31	compatible	compatible	ADJ
cana-2634	111	32	with	with	ADP
cana-2634	111	33	multi	multi	ADJ
cana-2634	111	34	-	-	ADJ
cana-2634	111	35	dimensional	dimensional	ADJ
cana-2634	111	36	spectral	spectral	ADJ
cana-2634	111	37	data	datum	NOUN
cana-2634	111	38	.	.	PUNCT
cana-2634	112	1	in	in	ADP
cana-2634	112	2	particular	particular	ADJ
cana-2634	112	3	,	,	PUNCT
cana-2634	112	4	the	the	DET
cana-2634	112	5	convolutional	convolutional	ADJ
cana-2634	112	6	layers	layer	NOUN
cana-2634	112	7	were	be	AUX
cana-2634	112	8	made	make	VERB
cana-2634	112	9	richer	rich	ADJ
cana-2634	112	10	and	and	CCONJ
cana-2634	112	11	tuned	tune	VERB
cana-2634	112	12	in	in	ADP
cana-2634	112	13	input	input	NOUN
cana-2634	112	14	layers	layer	NOUN
cana-2634	112	15	so	so	SCONJ
cana-2634	112	16	that	that	SCONJ
cana-2634	112	17	it	it	PRON
cana-2634	112	18	could	could	AUX
cana-2634	112	19	model	model	VERB
cana-2634	112	20	the	the	DET
cana-2634	112	21	input	input	NOUN
cana-2634	112	22	well	well	ADV
cana-2634	112	23	enough	enough	ADV
cana-2634	112	24	with	with	ADP
cana-2634	112	25	respect	respect	NOUN
cana-2634	112	26	to	to	ADP
cana-2634	112	27	the	the	DET
cana-2634	112	28	many	many	ADJ
cana-2634	112	29	spectral	spectral	ADJ
cana-2634	112	30	bands	band	NOUN
cana-2634	112	31	.	.	PUNCT
cana-2634	113	1	we	we	PRON
cana-2634	113	2	adapted	adapt	VERB
cana-2634	113	3	the	the	DET
cana-2634	113	4	following	follow	VERB
cana-2634	113	5	models	model	NOUN
cana-2634	113	6	:	:	PUNCT
cana-2634	113	7	vgg16	vgg16	NOUN
cana-2634	113	8	,	,	PUNCT
cana-2634	113	9	efficient	efficient	ADJ
cana-2634	113	10	net	net	NOUN
cana-2634	113	11	,	,	PUNCT
cana-2634	113	12	inception	inception	NOUN
cana-2634	113	13	v6	v6	PROPN
cana-2634	113	14	,	,	PUNCT
cana-2634	113	15	and	and	CCONJ
cana-2634	113	16	resnet-34	resnet-34	PROPN
cana-2634	113	17	.	.	PROPN
cana-2634	113	18	below	below	ADV
cana-2634	113	19	is	be	AUX
cana-2634	113	20	presented	present	VERB
cana-2634	113	21	detailed	detailed	ADJ
cana-2634	113	22	adaptation	adaptation	NOUN
cana-2634	113	23	of	of	ADP
cana-2634	113	24	each	each	DET
cana-2634	113	25	model	model	NOUN
cana-2634	113	26	related	relate	VERB
cana-2634	113	27	to	to	ADP
cana-2634	113	28	background	background	NOUN
cana-2634	113	29	theory	theory	NOUN
cana-2634	113	30	needed	need	VERB
cana-2634	113	31	,	,	PUNCT
cana-2634	113	32	mathematical	mathematical	ADJ
cana-2634	113	33	modeling	modeling	NOUN
cana-2634	113	34	and	and	CCONJ
cana-2634	113	35	visualizations	visualization	NOUN
cana-2634	113	36	of	of	ADP
cana-2634	113	37	the	the	DET
cana-2634	113	38	architectures[12	architectures[12	PROPN
cana-2634	113	39	]	]	X
cana-2634	113	40	.	.	PUNCT
cana-2634	114	1	3.3.1	3.3.1	NUM
cana-2634	114	2	vgg16	vgg16	NOUN
cana-2634	114	3	porting	porting	NOUN
cana-2634	114	4	vgg16	vgg16	NOUN
cana-2634	114	5	is	be	AUX
cana-2634	114	6	a	a	DET
cana-2634	114	7	deep	deep	ADJ
cana-2634	114	8	convolutional	convolutional	ADJ
cana-2634	114	9	network	network	NOUN
cana-2634	114	10	with	with	ADP
cana-2634	114	11	tiny	tiny	ADJ
cana-2634	114	12	3	3	NUM
cana-2634	114	13	×	×	NOUN
cana-2634	114	14	3	3	NUM
cana-2634	114	15	convolution	convolution	NOUN
cana-2634	114	16	filters	filter	NOUN
cana-2634	114	17	.	.	PUNCT
cana-2634	115	1	the	the	DET
cana-2634	115	2	total	total	ADJ
cana-2634	115	3	number	number	NOUN
cana-2634	115	4	of	of	ADP
cana-2634	115	5	weight	weight	NOUN
cana-2634	115	6	layers	layer	NOUN
cana-2634	115	7	is	be	AUX
cana-2634	115	8	16	16	NUM
cana-2634	115	9	,	,	PUNCT
cana-2634	115	10	hence	hence	ADV
cana-2634	115	11	the	the	DET
cana-2634	115	12	name	name	NOUN
cana-2634	115	13	vgg16	vgg16	NOUN
cana-2634	115	14	.	.	PUNCT
cana-2634	116	1	to	to	PART
cana-2634	116	2	accommodate	accommodate	VERB
cana-2634	116	3	more	more	ADJ
cana-2634	116	4	than	than	ADP
cana-2634	116	5	three	three	NUM
cana-2634	116	6	channels	channel	NOUN
cana-2634	116	7	for	for	ADP
cana-2634	116	8	spectral	spectral	ADJ
cana-2634	116	9	data	datum	NOUN
cana-2634	116	10	,	,	PUNCT
cana-2634	116	11	the	the	DET
cana-2634	116	12	first	first	ADJ
cana-2634	116	13	layer	layer	NOUN
cana-2634	116	14	of	of	ADP
cana-2634	116	15	the	the	DET
cana-2634	116	16	network	network	NOUN
cana-2634	116	17	,	,	PUNCT
cana-2634	116	18	and	and	CCONJ
cana-2634	116	19	the	the	DET
cana-2634	116	20	input	input	NOUN
cana-2634	116	21	layer	layer	NOUN
cana-2634	116	22	were	be	AUX
cana-2634	116	23	modified	modify	VERB
cana-2634	116	24	.	.	PUNCT
cana-2634	117	1	1	1	NUM
cana-2634	117	2	input	input	NOUN
cana-2634	117	3	layer	layer	NOUN
cana-2634	117	4	adaptation	adaptation	NOUN
cana-2634	117	5	the	the	DET
cana-2634	117	6	input	input	NOUN
cana-2634	117	7	layer	layer	NOUN
cana-2634	117	8	is	be	AUX
cana-2634	117	9	modified	modify	VERB
cana-2634	117	10	to	to	PART
cana-2634	117	11	accept	accept	VERB
cana-2634	117	12	multispectral	multispectral	ADJ
cana-2634	117	13	images	image	NOUN
cana-2634	117	14	with	with	ADP
cana-2634	117	15	𝑁	𝑁	PROPN
cana-2634	117	16	channels	channel	NOUN
cana-2634	117	17	.	.	PUNCT
cana-2634	118	1	for	for	ADP
cana-2634	118	2	example	example	NOUN
cana-2634	118	3	,	,	PUNCT
cana-2634	118	4	the	the	DET
cana-2634	118	5	input	input	NOUN
cana-2634	118	6	shape	shape	NOUN
cana-2634	118	7	for	for	ADP
cana-2634	118	8	spectral	spectral	ADJ
cana-2634	118	9	photos	photo	NOUN
cana-2634	118	10	is	be	AUX
cana-2634	118	11	set	set	VERB
cana-2634	118	12	to	to	PART
cana-2634	118	13	be	be	AUX
cana-2634	118	14	(	(	PUNCT
cana-2634	118	15	𝐻	𝐻	PROPN
cana-2634	118	16	,	,	PUNCT
cana-2634	118	17	𝑊	𝑊	PROPN
cana-2634	118	18	,	,	PUNCT
cana-2634	118	19	𝑁	𝑁	PROPN
cana-2634	118	20	)	)	PUNCT
cana-2634	118	21	instead	instead	ADV
cana-2634	118	22	of	of	ADP
cana-2634	118	23	(	(	PUNCT
cana-2634	118	24	𝐻	𝐻	PROPN
cana-2634	118	25	,	,	PUNCT
cana-2634	118	26	𝑊	𝑊	PROPN
cana-2634	118	27	,	,	PUNCT
cana-2634	118	28	3	3	NUM
cana-2634	118	29	)	)	PUNCT
cana-2634	118	30	.	.	PUNCT
cana-2634	119	1	2	2	NUM
cana-2634	119	2	first	first	ADJ
cana-2634	119	3	convolutional	convolutional	ADJ
cana-2634	119	4	layer	layer	NOUN
cana-2634	119	5	:	:	PUNCT
cana-2634	119	6	•	•	ADP
cana-2634	119	7	the	the	DET
cana-2634	119	8	first	first	ADJ
cana-2634	119	9	convolutional	convolutional	ADJ
cana-2634	119	10	layer	layer	NOUN
cana-2634	119	11	was	be	AUX
cana-2634	119	12	modified	modify	VERB
cana-2634	119	13	to	to	PART
cana-2634	119	14	be	be	AUX
cana-2634	119	15	adaptable	adaptable	ADJ
cana-2634	119	16	for	for	ADP
cana-2634	119	17	a	a	DET
cana-2634	119	18	more	more	ADV
cana-2634	119	19	significant	significant	ADJ
cana-2634	119	20	number	number	NOUN
cana-2634	119	21	of	of	ADP
cana-2634	119	22	input	input	NOUN
cana-2634	119	23	channels	channel	NOUN
cana-2634	119	24	.	.	PUNCT
cana-2634	120	1	•	•	NUM
cana-2634	120	2	original	original	ADJ
cana-2634	120	3	:	:	PUNCT
cana-2634	120	4	64	64	NUM
cana-2634	120	5	filters	filter	NOUN
cana-2634	120	6	of	of	ADP
cana-2634	120	7	size	size	NOUN
cana-2634	120	8	3	3	NUM
cana-2634	120	9	×	×	NOUN
cana-2634	120	10	3	3	NUM
cana-2634	120	11	×	×	NOUN
cana-2634	120	12	3	3	NUM
cana-2634	120	13	[	[	X
cana-2634	120	14	13	13	NUM
cana-2634	120	15	]	]	PUNCT
cana-2634	120	16	.	.	PUNCT
cana-2634	121	1	•	•	NUM
cana-2634	121	2	edited	edit	VERB
cana-2634	121	3	:	:	PUNCT
cana-2634	121	4	64	64	NUM
cana-2634	121	5	×	×	NOUN
cana-2634	121	6	3	3	NUM
cana-2634	121	7	×	×	NOUN
cana-2634	121	8	3	3	NUM
cana-2634	121	9	×	×	NOUN
cana-2634	121	10	𝑁	𝑁	PROPN
cana-2634	121	11	filters	filter	NOUN
cana-2634	121	12	.	.	PUNCT
cana-2634	122	1	mathematical	mathematical	ADJ
cana-2634	122	2	modeling	modeling	NOUN
cana-2634	122	3	:	:	PUNCT
cana-2634	122	4	the	the	DET
cana-2634	122	5	general	general	ADJ
cana-2634	122	6	formula	formula	NOUN
cana-2634	122	7	of	of	ADP
cana-2634	122	8	the	the	DET
cana-2634	122	9	output	output	NOUN
cana-2634	122	10	from	from	ADP
cana-2634	122	11	a	a	DET
cana-2634	122	12	convolutional	convolutional	ADJ
cana-2634	122	13	layer	layer	NOUN
cana-2634	122	14	is	be	AUX
cana-2634	122	15	:	:	PUNCT
cana-2634	122	16	𝑂(𝑖	𝑂(𝑖	NUM
cana-2634	122	17	,	,	PUNCT
cana-2634	122	18	𝑗	𝑗	NOUN
cana-2634	122	19	,	,	PUNCT
cana-2634	122	20	𝑘	𝑘	NOUN
cana-2634	122	21	)	)	PUNCT
cana-2634	122	22	−	−	PROPN
cana-2634	122	23	𝜎	𝜎	PROPN
cana-2634	122	24	(	(	PUNCT
cana-2634	122	25	∑	∑	ADV
cana-2634	122	26	  	  	SPACE
cana-2634	122	27	𝑀−1	𝑀−1	PROPN
cana-2634	122	28	𝑚−1	𝑚−1	PROPN
cana-2634	122	29	  	  	SPACE
cana-2634	122	30	∑	∑	PART
cana-2634	122	31	  	  	SPACE
cana-2634	122	32	𝑁−1	𝑁−1	PROPN
cana-2634	122	33	𝑛−1	𝑛−1	PROPN
cana-2634	122	34	 	 	SPACE
cana-2634	122	35	∑	∑	ADP
cana-2634	122	36	  	  	SPACE
cana-2634	122	37	𝐶−1	𝐶−1	ADP
cana-2634	122	38	𝑐−1	𝑐−1	NOUN
cana-2634	122	39	 	 	SPACE
cana-2634	122	40	𝐼(𝑖	𝐼(𝑖	ADP
cana-2634	122	41	+	+	CCONJ
cana-2634	122	42	𝑚	𝑚	PROPN
cana-2634	122	43	,	,	PUNCT
cana-2634	122	44	𝑗	𝑗	PROPN
cana-2634	122	45	+	+	NUM
cana-2634	122	46	𝑛	𝑛	ADJ
cana-2634	122	47	,	,	PUNCT
cana-2634	122	48	𝑐	𝑐	NOUN
cana-2634	122	49	)	)	PUNCT
cana-2634	122	50	⋅	⋅	PROPN
cana-2634	122	51	𝑊(𝑚	𝑊(𝑚	PROPN
cana-2634	122	52	,	,	PUNCT
cana-2634	122	53	𝑛	𝑛	PROPN
cana-2634	122	54	,	,	PUNCT
cana-2634	122	55	𝑐	𝑐	NOUN
cana-2634	122	56	,	,	PUNCT
cana-2634	122	57	𝑘	𝑘	NOUN
cana-2634	122	58	)	)	PUNCT
cana-2634	122	59	+	+	NUM
cana-2634	122	60	𝑏𝑘	𝑏𝑘	NOUN
cana-2634	122	61	)	)	PUNCT
cana-2634	122	62	where	where	SCONJ
cana-2634	122	63	𝑂(𝑖	𝑂(𝑖	PROPN
cana-2634	122	64	,	,	PUNCT
cana-2634	122	65	𝑗	𝑗	NOUN
cana-2634	122	66	,	,	PUNCT
cana-2634	122	67	𝑘	𝑘	NOUN
cana-2634	122	68	)	)	PUNCT
cana-2634	122	69	denotes	denote	NOUN
cana-2634	122	70	output	output	VERB
cana-2634	122	71	at	at	ADP
cana-2634	122	72	the	the	DET
cana-2634	122	73	position	position	NOUN
cana-2634	122	74	(	(	PUNCT
cana-2634	122	75	𝑖	𝑖	SYM
cana-2634	122	76	,	,	PUNCT
cana-2634	122	77	𝑗	𝑗	NOUN
cana-2634	122	78	)	)	PUNCT
cana-2634	122	79	of	of	ADP
cana-2634	122	80	the	the	DET
cana-2634	122	81	𝑘-th	𝑘-th	PROPN
cana-2634	122	82	filter	filter	NOUN
cana-2634	122	83	and	and	CCONJ
cana-2634	122	84	𝜎	𝜎	NOUN
cana-2634	122	85	is	be	AUX
cana-2634	122	86	the	the	DET
cana-2634	122	87	activation	activation	NOUN
cana-2634	122	88	function	function	NOUN
cana-2634	122	89	.	.	PUNCT
cana-2634	123	1	here	here	ADV
cana-2634	123	2	,	,	PUNCT
cana-2634	123	3	the	the	DET
cana-2634	123	4	input	input	NOUN
cana-2634	123	5	image	image	NOUN
cana-2634	123	6	is	be	AUX
cana-2634	123	7	represented	represent	VERB
cana-2634	123	8	by	by	ADP
cana-2634	123	9	𝐼	𝐼	PROPN
cana-2634	123	10	,	,	PUNCT
cana-2634	123	11	and	and	CCONJ
cana-2634	123	12	the	the	DET
cana-2634	123	13	weight	weight	NOUN
cana-2634	123	14	of	of	ADP
cana-2634	123	15	the	the	DET
cana-2634	123	16	filter	filter	NOUN
cana-2634	123	17	is	be	AUX
cana-2634	123	18	𝑊	𝑊	PROPN
cana-2634	123	19	;	;	PUNCT
cana-2634	123	20	𝑏𝑘	𝑏𝑘	PRON
cana-2634	123	21	represents	represent	VERB
cana-2634	123	22	bias	bias	NOUN
cana-2634	123	23	.	.	PUNCT
cana-2634	124	1	figure	figure	NOUN
cana-2634	124	2	3	3	NUM
cana-2634	124	3	:	:	PUNCT
cana-2634	124	4	modified	modify	VERB
cana-2634	124	5	vgg16	vgg16	NOUN
cana-2634	124	6	architecture	architecture	NOUN
cana-2634	124	7	for	for	ADP
cana-2634	124	8	spectral	spectral	ADJ
cana-2634	124	9	imaging	imaging	NOUN
cana-2634	124	10	communications	communication	NOUN
cana-2634	124	11	on	on	ADP
cana-2634	124	12	applied	apply	VERB
cana-2634	124	13	nonlinear	nonlinear	ADJ
cana-2634	124	14	analysis	analysis	NOUN
cana-2634	124	15	issn	issn	NOUN
cana-2634	124	16	:	:	PUNCT
cana-2634	124	17	1074	1074	NUM
cana-2634	124	18	-	-	PUNCT
cana-2634	124	19	133x	133x	NUM
cana-2634	124	20	vol	vol	NOUN
cana-2634	124	21	32	32	NUM
cana-2634	124	22	no	no	NOUN
cana-2634	124	23	.	.	PUNCT
cana-2634	125	1	3s	3s	NUM
cana-2634	125	2	(	(	PUNCT
cana-2634	125	3	2025	2025	NUM
cana-2634	125	4	)	)	PUNCT
cana-2634	125	5	237	237	NUM
cana-2634	125	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2634	125	7	3.3.2	3.3.2	NUM
cana-2634	125	8	efficient	efficient	ADJ
cana-2634	125	9	net	net	ADJ
cana-2634	125	10	adaptation	adaptation	NOUN
cana-2634	125	11	efficient	efficient	ADJ
cana-2634	125	12	net	net	NOUN
cana-2634	125	13	scales	scale	VERB
cana-2634	125	14	the	the	DET
cana-2634	125	15	network	network	NOUN
cana-2634	125	16	in	in	ADP
cana-2634	125	17	depth	depth	NOUN
cana-2634	125	18	,	,	PUNCT
cana-2634	125	19	width	width	ADJ
cana-2634	125	20	,	,	PUNCT
cana-2634	125	21	and	and	CCONJ
cana-2634	125	22	resolution	resolution	NOUN
cana-2634	125	23	with	with	ADP
cana-2634	125	24	compound	compound	NOUN
cana-2634	125	25	scaling	scaling	NOUN
cana-2634	125	26	.	.	PUNCT
cana-2634	126	1	with	with	ADP
cana-2634	126	2	a	a	DET
cana-2634	126	3	set	set	NOUN
cana-2634	126	4	of	of	ADP
cana-2634	126	5	fixed	fix	VERB
cana-2634	126	6	coefficients	coefficient	NOUN
cana-2634	126	7	,	,	PUNCT
cana-2634	126	8	it	it	PRON
cana-2634	126	9	scales	scale	VERB
cana-2634	126	10	up	up	ADP
cana-2634	126	11	all	all	DET
cana-2634	126	12	dimensions	dimension	NOUN
cana-2634	126	13	of	of	ADP
cana-2634	126	14	depth	depth	NOUN
cana-2634	126	15	/	/	SYM
cana-2634	126	16	width	width	NOUN
cana-2634	126	17	/	/	SYM
cana-2634	126	18	resolution	resolution	NOUN
cana-2634	126	19	[	[	X
cana-2634	126	20	14	14	NUM
cana-2634	126	21	]	]	SYM
cana-2634	126	22	.	.	PUNCT
cana-2634	127	1	1	1	NUM
cana-2634	127	2	input	input	NOUN
cana-2634	127	3	layer	layer	NOUN
cana-2634	127	4	adaptation	adaptation	NOUN
cana-2634	127	5	change	change	VERB
cana-2634	127	6	the	the	DET
cana-2634	127	7	shape	shape	NOUN
cana-2634	127	8	of	of	ADP
cana-2634	127	9	the	the	DET
cana-2634	127	10	input	input	NOUN
cana-2634	127	11	layer	layer	NOUN
cana-2634	127	12	to	to	PART
cana-2634	127	13	accept	accept	VERB
cana-2634	127	14	channels	channel	NOUN
cana-2634	127	15	with	with	ADP
cana-2634	127	16	size	size	NOUN
cana-2634	127	17	(	(	PUNCT
cana-2634	127	18	𝐻	𝐻	PROPN
cana-2634	127	19	,	,	PUNCT
cana-2634	127	20	𝑊	𝑊	PROPN
cana-2634	127	21	,	,	PUNCT
cana-2634	127	22	𝑁	𝑁	PROPN
cana-2634	127	23	)	)	PUNCT
cana-2634	127	24	.	.	PUNCT
cana-2634	128	1	2	2	NUM
cana-2634	128	2	first	first	ADJ
cana-2634	128	3	convolutional	convolutional	ADJ
cana-2634	128	4	layer	layer	NOUN
cana-2634	128	5	:	:	PUNCT
cana-2634	128	6	original	original	ADJ
cana-2634	128	7	:	:	PUNCT
cana-2634	128	8	32	32	NUM
cana-2634	128	9	filters	filter	NOUN
cana-2634	128	10	of	of	ADP
cana-2634	128	11	size	size	NOUN
cana-2634	128	12	3	3	NUM
cana-2634	128	13	×	×	NOUN
cana-2634	128	14	3	3	NUM
cana-2634	128	15	×	×	NOUN
cana-2634	128	16	3	3	NUM
cana-2634	128	17	.	.	PUNCT
cana-2634	128	18	modified	modify	VERB
cana-2634	128	19	:	:	PUNCT
cana-2634	128	20	32	32	NUM
cana-2634	128	21	filters	filter	NOUN
cana-2634	128	22	of	of	ADP
cana-2634	128	23	size	size	NOUN
cana-2634	128	24	3	3	NUM
cana-2634	128	25	×	×	NOUN
cana-2634	128	26	3	3	NUM
cana-2634	128	27	×	×	NOUN
cana-2634	128	28	𝑁.	𝑁.	PROPN
cana-2634	128	29	mathematical	mathematical	ADJ
cana-2634	128	30	modeling	modeling	NOUN
cana-2634	128	31	:	:	PUNCT
cana-2634	128	32	the	the	DET
cana-2634	128	33	equation	equation	NOUN
cana-2634	128	34	for	for	ADP
cana-2634	128	35	the	the	DET
cana-2634	128	36	output	output	NOUN
cana-2634	128	37	of	of	ADP
cana-2634	128	38	a	a	DET
cana-2634	128	39	depth	depth	NOUN
cana-2634	128	40	wise	wise	ADJ
cana-2634	128	41	separable	separable	ADJ
cana-2634	128	42	convolutional	convolutional	ADJ
cana-2634	128	43	layer	layer	NOUN
cana-2634	128	44	is	be	AUX
cana-2634	128	45	as	as	SCONJ
cana-2634	128	46	follows	follow	VERB
cana-2634	128	47	:	:	PUNCT
cana-2634	129	1	𝑂(𝑖	𝑂(𝑖	NUM
cana-2634	129	2	,	,	PUNCT
cana-2634	129	3	𝑗	𝑗	NOUN
cana-2634	129	4	,	,	PUNCT
cana-2634	129	5	𝑘	𝑘	NOUN
cana-2634	129	6	)	)	PUNCT
cana-2634	129	7	−	−	PROPN
cana-2634	129	8	𝜎	𝜎	PROPN
cana-2634	129	9	(	(	PUNCT
cana-2634	129	10	∑	∑	ADV
cana-2634	129	11	  	  	SPACE
cana-2634	129	12	𝑀−1	𝑀−1	PROPN
cana-2634	129	13	𝑚−1	𝑚−1	PROPN
cana-2634	129	14	 	 	SPACE
cana-2634	129	15	∑	∑	PROPN
cana-2634	129	16	𝑛	𝑛	DET
cana-2634	129	17	−	−	NOUN
cana-2634	129	18	0𝑁−1𝐼(𝑖	0𝑁−1𝐼(𝑖	NUM
cana-2634	129	19	+	+	CCONJ
cana-2634	129	20	𝑚	𝑚	PROPN
cana-2634	129	21	,	,	PUNCT
cana-2634	129	22	𝑗	𝑗	PROPN
cana-2634	129	23	+	+	NUM
cana-2634	129	24	𝑛	𝑛	ADJ
cana-2634	129	25	,	,	PUNCT
cana-2634	129	26	𝑘	𝑘	NOUN
cana-2634	129	27	)	)	PUNCT
cana-2634	129	28	⋅	⋅	PROPN
cana-2634	129	29	𝑊depth	𝑊depth	PROPN
cana-2634	129	30	(	(	PUNCT
cana-2634	129	31	𝑚	𝑚	PROPN
cana-2634	129	32	,	,	PUNCT
cana-2634	129	33	𝑛	𝑛	NOUN
cana-2634	129	34	)	)	PUNCT
cana-2634	129	35	+	+	CCONJ
cana-2634	129	36	𝑏depth	𝑏depth	NOUN
cana-2634	129	37	)	)	PUNCT
cana-2634	130	1	+	+	CCONJ
cana-2634	130	2	∑	∑	PUNCT
cana-2634	130	3	  	  	SPACE
cana-2634	130	4	𝐶−1	𝐶−1	ADP
cana-2634	130	5	𝑐−0	𝑐−0	PROPN
cana-2634	130	6	 	 	SPACE
cana-2634	130	7	𝑂depth	𝑂depth	PROPN
cana-2634	130	8	(	(	PUNCT
cana-2634	130	9	𝑖	𝑖	PROPN
cana-2634	130	10	,	,	PUNCT
cana-2634	130	11	𝑗	𝑗	INTJ
cana-2634	130	12	,	,	PUNCT
cana-2634	130	13	𝑐	𝑐	NOUN
cana-2634	130	14	)	)	PUNCT
cana-2634	130	15	⋅	⋅	PROPN
cana-2634	130	16	𝑊paint	𝑊paint	PROPN
cana-2634	130	17	(	(	PUNCT
cana-2634	130	18	𝑐	𝑐	PROPN
cana-2634	130	19	,	,	PUNCT
cana-2634	130	20	𝑘	𝑘	NOUN
cana-2634	130	21	)	)	PUNCT
cana-2634	130	22	+	+	CCONJ
cana-2634	130	23	𝑏point	𝑏point	NOUN
cana-2634	130	24	figure	figure	NOUN
cana-2634	130	25	4	4	NUM
cana-2634	130	26	:	:	PUNCT
cana-2634	130	27	modified	modify	VERB
cana-2634	130	28	efficient	efficient	ADJ
cana-2634	130	29	net	net	ADJ
cana-2634	130	30	architecture	architecture	NOUN
cana-2634	130	31	for	for	ADP
cana-2634	130	32	spectral	spectral	ADJ
cana-2634	130	33	imaging	imaging	NOUN
cana-2634	130	34	3.3.3	3.3.3	NUM
cana-2634	130	35	inception	inception	NOUN
cana-2634	130	36	v6	v6	NOUN
cana-2634	130	37	adaptation	adaptation	NOUN
cana-2634	130	38	the	the	DET
cana-2634	130	39	idea	idea	NOUN
cana-2634	130	40	behind	behind	ADP
cana-2634	130	41	inception	inception	ADJ
cana-2634	130	42	modules	module	NOUN
cana-2634	130	43	is	be	AUX
cana-2634	130	44	to	to	PART
cana-2634	130	45	use	use	VERB
cana-2634	130	46	multiple	multiple	ADJ
cana-2634	130	47	filters	filter	NOUN
cana-2634	130	48	of	of	ADP
cana-2634	130	49	different	different	ADJ
cana-2634	130	50	sizes	size	NOUN
cana-2634	130	51	to	to	PART
cana-2634	130	52	catch	catch	VERB
cana-2634	130	53	varied	varied	ADJ
cana-2634	130	54	aspects	aspect	NOUN
cana-2634	130	55	of	of	ADP
cana-2634	130	56	the	the	DET
cana-2634	130	57	input	input	NOUN
cana-2634	130	58	data	datum	NOUN
cana-2634	130	59	.	.	PUNCT
cana-2634	131	1	1	1	NUM
cana-2634	131	2	input	input	NOUN
cana-2634	131	3	layer	layer	NOUN
cana-2634	131	4	adaptation	adaptation	NOUN
cana-2634	131	5	make	make	VERB
cana-2634	131	6	the	the	DET
cana-2634	131	7	adjustments	adjustment	NOUN
cana-2634	131	8	on	on	ADP
cana-2634	131	9	the	the	DET
cana-2634	131	10	input	input	NOUN
cana-2634	131	11	layer	layer	NOUN
cana-2634	131	12	to	to	PART
cana-2634	131	13	accept	accept	VERB
cana-2634	131	14	(	(	PUNCT
cana-2634	131	15	𝐻	𝐻	PROPN
cana-2634	131	16	,	,	PUNCT
cana-2634	131	17	𝑊	𝑊	PROPN
cana-2634	131	18	,	,	PUNCT
cana-2634	131	19	𝑁	𝑁	PROPN
cana-2634	131	20	)	)	PUNCT
cana-2634	131	21	in	in	ADP
cana-2634	131	22	channels	channel	NOUN
cana-2634	131	23	.	.	PUNCT
cana-2634	132	1	2	2	NUM
cana-2634	132	2	first	first	ADJ
cana-2634	132	3	convolutional	convolutional	ADJ
cana-2634	132	4	layer	layer	NOUN
cana-2634	132	5	:	:	PUNCT
cana-2634	132	6	•	•	NOUN
cana-2634	132	7	original	original	ADJ
cana-2634	132	8	:	:	PUNCT
cana-2634	132	9	32	32	NUM
cana-2634	132	10	filters	filter	NOUN
cana-2634	132	11	of	of	ADP
cana-2634	132	12	size	size	NOUN
cana-2634	132	13	3	3	NUM
cana-2634	132	14	×	×	NOUN
cana-2634	132	15	3	3	NUM
cana-2634	132	16	×	×	NOUN
cana-2634	132	17	3	3	NUM
cana-2634	132	18	.	.	NOUN
cana-2634	132	19	•	•	NOUN
cana-2634	132	20	modified	modify	VERB
cana-2634	132	21	:	:	PUNCT
cana-2634	132	22	32	32	NUM
cana-2634	132	23	filters	filter	NOUN
cana-2634	132	24	of	of	ADP
cana-2634	132	25	size	size	NOUN
cana-2634	132	26	3	3	NUM
cana-2634	132	27	×	×	NOUN
cana-2634	132	28	3	3	NUM
cana-2634	132	29	×	×	NOUN
cana-2634	132	30	𝑁.	𝑁.	PROPN
cana-2634	132	31	mathematical	mathematical	ADJ
cana-2634	132	32	modeling	modeling	NOUN
cana-2634	132	33	:	:	PUNCT
cana-2634	132	34	given	give	VERB
cana-2634	132	35	a	a	DET
cana-2634	132	36	convolutional	convolutional	ADJ
cana-2634	132	37	layer	layer	NOUN
cana-2634	132	38	with	with	ADP
cana-2634	132	39	multiple	multiple	ADJ
cana-2634	132	40	filter	filter	NOUN
cana-2634	132	41	sizes	size	NOUN
cana-2634	132	42	:	:	PUNCT
cana-2634	132	43	𝑂1𝑥1(𝑖	𝑂1𝑥1(𝑖	NUM
cana-2634	132	44	,	,	PUNCT
cana-2634	132	45	𝑗	𝑗	NOUN
cana-2634	132	46	,	,	PUNCT
cana-2634	132	47	𝑘	𝑘	NOUN
cana-2634	132	48	)	)	PUNCT
cana-2634	132	49	−	−	PROPN
cana-2634	132	50	𝜎	𝜎	PROPN
cana-2634	132	51	(	(	PUNCT
cana-2634	132	52	∑	∑	ADV
cana-2634	132	53	  	  	SPACE
cana-2634	132	54	𝐶−1	𝐶−1	ADP
cana-2634	132	55	𝑐−0	𝑐−0	PROPN
cana-2634	132	56	 	 	SPACE
cana-2634	132	57	𝐼(𝑖	𝐼(𝑖	ADP
cana-2634	132	58	,	,	PUNCT
cana-2634	132	59	𝑗	𝑗	NOUN
cana-2634	132	60	,	,	PUNCT
cana-2634	132	61	𝑐	𝑐	NOUN
cana-2634	132	62	)	)	PUNCT
cana-2634	132	63	⋅	⋅	PROPN
cana-2634	132	64	𝑊1𝑥1(𝑐	𝑊1𝑥1(𝑐	PROPN
cana-2634	132	65	,	,	PUNCT
cana-2634	132	66	𝑘	𝑘	NOUN
cana-2634	132	67	)	)	PUNCT
cana-2634	132	68	+	+	NUM
cana-2634	132	69	𝑏𝑘	𝑏𝑘	X
cana-2634	132	70	)	)	PUNCT
cana-2634	132	71	𝑂3𝑥3(𝑖	𝑂3𝑥3(𝑖	NOUN
cana-2634	132	72	,	,	PUNCT
cana-2634	132	73	𝑗	𝑗	NOUN
cana-2634	132	74	,	,	PUNCT
cana-2634	132	75	𝑘	𝑘	NOUN
cana-2634	132	76	)	)	PUNCT
cana-2634	132	77	−	−	PROPN
cana-2634	132	78	𝜎	𝜎	PROPN
cana-2634	132	79	(	(	PUNCT
cana-2634	132	80	∑	∑	ADV
cana-2634	132	81	  	  	SPACE
cana-2634	132	82	2	2	NUM
cana-2634	132	83	𝑚−0	𝑚−0	NOUN
cana-2634	132	84	 	 	SPACE
cana-2634	132	85	∑	∑	ADP
cana-2634	132	86	  	  	SPACE
cana-2634	132	87	2	2	NUM
cana-2634	132	88	𝑛−0	𝑛−0	PROPN
cana-2634	132	89	 	 	SPACE
cana-2634	132	90	∑	∑	ADP
cana-2634	132	91	  	  	SPACE
cana-2634	132	92	𝐶−1	𝐶−1	ADP
cana-2634	132	93	𝑐−0	𝑐−0	VERB
cana-2634	132	94	 	 	SPACE
cana-2634	132	95	𝐼(𝑖	𝐼(𝑖	ADP
cana-2634	132	96	+	+	CCONJ
cana-2634	132	97	𝑚	𝑚	PROPN
cana-2634	132	98	,	,	PUNCT
cana-2634	132	99	𝑗	𝑗	PROPN
cana-2634	132	100	+	+	NUM
cana-2634	132	101	𝑛	𝑛	ADJ
cana-2634	132	102	,	,	PUNCT
cana-2634	132	103	𝑐	𝑐	NOUN
cana-2634	132	104	)	)	PUNCT
cana-2634	132	105	⋅	⋅	PROPN
cana-2634	132	106	𝑊3𝑥3(𝑚	𝑊3𝑥3(𝑚	PROPN
cana-2634	132	107	,	,	PUNCT
cana-2634	132	108	𝑛	𝑛	PROPN
cana-2634	132	109	,	,	PUNCT
cana-2634	132	110	𝑐	𝑐	NOUN
cana-2634	132	111	,	,	PUNCT
cana-2634	132	112	𝑘	𝑘	NOUN
cana-2634	132	113	)	)	PUNCT
cana-2634	132	114	+	+	NUM
cana-2634	132	115	𝑏𝑘	𝑏𝑘	NUM
cana-2634	132	116	)	)	PUNCT
cana-2634	132	117	𝑂5𝑥5(𝑖	𝑂5𝑥5(𝑖	ADV
cana-2634	132	118	,	,	PUNCT
cana-2634	132	119	𝑗	𝑗	INTJ
cana-2634	132	120	,	,	PUNCT
cana-2634	132	121	𝑘	𝑘	NOUN
cana-2634	132	122	)	)	PUNCT
cana-2634	132	123	−	−	PROPN
cana-2634	132	124	𝜎	𝜎	PROPN
cana-2634	132	125	(	(	PUNCT
cana-2634	132	126	∑	∑	ADV
cana-2634	132	127	  	  	SPACE
cana-2634	132	128	4	4	NUM
cana-2634	132	129	𝑚−0	𝑚−0	NOUN
cana-2634	132	130	 	 	SPACE
cana-2634	132	131	∑	∑	ADP
cana-2634	132	132	  	  	SPACE
cana-2634	132	133	4	4	NUM
cana-2634	132	134	𝑛−0	𝑛−0	NOUN
cana-2634	132	135	 	 	SPACE
cana-2634	132	136	∑	∑	ADP
cana-2634	132	137	  	  	SPACE
cana-2634	132	138	𝐶−1	𝐶−1	ADP
cana-2634	132	139	𝑐−0	𝑐−0	VERB
cana-2634	132	140	 	 	SPACE
cana-2634	132	141	𝐼(𝑖	𝐼(𝑖	ADP
cana-2634	132	142	+	+	CCONJ
cana-2634	132	143	𝑚	𝑚	PROPN
cana-2634	132	144	,	,	PUNCT
cana-2634	132	145	𝑗	𝑗	PROPN
cana-2634	132	146	+	+	NUM
cana-2634	132	147	𝑛	𝑛	ADJ
cana-2634	132	148	,	,	PUNCT
cana-2634	132	149	𝑐	𝑐	NOUN
cana-2634	132	150	)	)	PUNCT
cana-2634	132	151	⋅	⋅	PROPN
cana-2634	132	152	𝑊5𝑥5(𝑚	𝑊5𝑥5(𝑚	PROPN
cana-2634	132	153	,	,	PUNCT
cana-2634	132	154	𝑛	𝑛	PROPN
cana-2634	132	155	,	,	PUNCT
cana-2634	132	156	𝑐	𝑐	NOUN
cana-2634	132	157	,	,	PUNCT
cana-2634	132	158	𝑘	𝑘	NOUN
cana-2634	132	159	)	)	PUNCT
cana-2634	132	160	+	+	NUM
cana-2634	132	161	𝑏𝑘	𝑏𝑘	NOUN
cana-2634	132	162	)	)	PUNCT
cana-2634	132	163	communications	communication	NOUN
cana-2634	132	164	on	on	ADP
cana-2634	132	165	applied	apply	VERB
cana-2634	132	166	nonlinear	nonlinear	ADJ
cana-2634	132	167	analysis	analysis	NOUN
cana-2634	132	168	issn	issn	NOUN
cana-2634	132	169	:	:	PUNCT
cana-2634	132	170	1074	1074	NUM
cana-2634	132	171	-	-	PUNCT
cana-2634	132	172	133x	133x	NUM
cana-2634	132	173	vol	vol	NOUN
cana-2634	132	174	32	32	NUM
cana-2634	133	1	no	no	NOUN
cana-2634	133	2	.	.	PUNCT
cana-2634	134	1	3s	3s	NUM
cana-2634	134	2	(	(	PUNCT
cana-2634	134	3	2025	2025	NUM
cana-2634	134	4	)	)	PUNCT
cana-2634	134	5	238	238	NUM
cana-2634	134	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	134	7	figure	figure	NOUN
cana-2634	134	8	5	5	NUM
cana-2634	134	9	:	:	PUNCT
cana-2634	134	10	modified	modify	VERB
cana-2634	134	11	inception	inception	NOUN
cana-2634	134	12	v6	v6	NOUN
cana-2634	134	13	architecture	architecture	NOUN
cana-2634	134	14	for	for	ADP
cana-2634	134	15	spectral	spectral	ADJ
cana-2634	134	16	imaging	imaging	NOUN
cana-2634	134	17	3.3.4	3.3.4	NUM
cana-2634	134	18	resnet-34	resnet-34	PROPN
cana-2634	134	19	adapt	adapt	VERB
cana-2634	134	20	the	the	DET
cana-2634	134	21	shortcut	shortcut	NOUN
cana-2634	134	22	connection	connection	NOUN
cana-2634	134	23	in	in	ADP
cana-2634	134	24	the	the	DET
cana-2634	134	25	residual	residual	ADJ
cana-2634	134	26	blocks	block	NOUN
cana-2634	134	27	[	[	X
cana-2634	134	28	15	15	NUM
cana-2634	134	29	]	]	PUNCT
cana-2634	134	30	is	be	AUX
cana-2634	134	31	the	the	DET
cana-2634	134	32	direct	direct	ADJ
cana-2634	134	33	addition	addition	NOUN
cana-2634	134	34	of	of	ADP
cana-2634	134	35	input	input	NOUN
cana-2634	134	36	into	into	ADP
cana-2634	134	37	the	the	DET
cana-2634	134	38	output	output	NOUN
cana-2634	134	39	.	.	PUNCT
cana-2634	135	1	1	1	NUM
cana-2634	135	2	input	input	NOUN
cana-2634	135	3	layer	layer	NOUN
cana-2634	135	4	adaptation	adaptation	NOUN
cana-2634	135	5	change	change	VERB
cana-2634	135	6	the	the	DET
cana-2634	135	7	input	input	NOUN
cana-2634	135	8	layer	layer	NOUN
cana-2634	135	9	to	to	PART
cana-2634	135	10	accept	accept	VERB
cana-2634	135	11	(	(	PUNCT
cana-2634	135	12	𝐻	𝐻	PROPN
cana-2634	135	13	,	,	PUNCT
cana-2634	135	14	𝑊	𝑊	PROPN
cana-2634	135	15	,	,	PUNCT
cana-2634	135	16	𝑁	𝑁	NOUN
cana-2634	135	17	)	)	PUNCT
cana-2634	135	18	number	number	NOUN
cana-2634	135	19	of	of	ADP
cana-2634	135	20	channels	channel	NOUN
cana-2634	135	21	.	.	PUNCT
cana-2634	136	1	2	2	NUM
cana-2634	136	2	first	first	ADJ
cana-2634	136	3	convolutional	convolutional	ADJ
cana-2634	136	4	layer	layer	NOUN
cana-2634	136	5	:	:	PUNCT
cana-2634	136	6	•	•	NOUN
cana-2634	136	7	original	original	ADJ
cana-2634	136	8	:	:	PUNCT
cana-2634	136	9	64	64	NUM
cana-2634	136	10	filters	filter	NOUN
cana-2634	136	11	of	of	ADP
cana-2634	136	12	size	size	NOUN
cana-2634	136	13	7	7	NUM
cana-2634	136	14	×	×	NOUN
cana-2634	136	15	7	7	NUM
cana-2634	136	16	×	×	NOUN
cana-2634	136	17	3	3	NUM
cana-2634	136	18	.	.	NOUN
cana-2634	136	19	•	•	NUM
cana-2634	136	20	tweaked	tweak	VERB
cana-2634	136	21	:	:	PUNCT
cana-2634	136	22	64	64	NUM
cana-2634	136	23	filters	filter	NOUN
cana-2634	136	24	of	of	ADP
cana-2634	136	25	dimensions	dimension	NOUN
cana-2634	136	26	7	7	NUM
cana-2634	136	27	×	×	NOUN
cana-2634	136	28	7	7	NUM
cana-2634	136	29	×	×	NOUN
cana-2634	136	30	𝑁.	𝑁.	PROPN
cana-2634	136	31	mathematical	mathematical	ADJ
cana-2634	136	32	modeling	modeling	NOUN
cana-2634	136	33	:	:	PUNCT
cana-2634	136	34	the	the	DET
cana-2634	136	35	output	output	NOUN
cana-2634	136	36	of	of	ADP
cana-2634	136	37	a	a	DET
cana-2634	136	38	residual	residual	ADJ
cana-2634	136	39	block	block	NOUN
cana-2634	136	40	can	can	AUX
cana-2634	136	41	be	be	AUX
cana-2634	136	42	given	give	VERB
cana-2634	136	43	as	as	ADP
cana-2634	136	44	𝑂(𝑖	𝑂(𝑖	PROPN
cana-2634	136	45	,	,	PUNCT
cana-2634	136	46	𝑗	𝑗	NOUN
cana-2634	136	47	,	,	PUNCT
cana-2634	136	48	𝑘	𝑘	NOUN
cana-2634	136	49	)	)	PUNCT
cana-2634	136	50	−	−	PROPN
cana-2634	136	51	𝜎	𝜎	PROPN
cana-2634	136	52	(	(	PUNCT
cana-2634	136	53	∑	∑	ADV
cana-2634	136	54	  	  	SPACE
cana-2634	136	55	𝑀−1	𝑀−1	PROPN
cana-2634	136	56	𝑚−1	𝑚−1	PROPN
cana-2634	136	57	 	 	SPACE
cana-2634	136	58	∑	∑	PROPN
cana-2634	136	59	𝑛	𝑛	DET
cana-2634	136	60	−	−	NOUN
cana-2634	136	61	0𝑁−1	0𝑁−1	NOUN
cana-2634	136	62	∑	∑	PUNCT
cana-2634	136	63	  	  	SPACE
cana-2634	136	64	𝐶−1	𝐶−1	ADP
cana-2634	136	65	𝑐−0	𝑐−0	VERB
cana-2634	136	66	 	 	SPACE
cana-2634	136	67	𝐼(𝑖	𝐼(𝑖	ADP
cana-2634	136	68	+	+	CCONJ
cana-2634	136	69	𝑚	𝑚	PROPN
cana-2634	136	70	,	,	PUNCT
cana-2634	136	71	𝑗	𝑗	PROPN
cana-2634	136	72	+	+	NUM
cana-2634	136	73	𝑛	𝑛	ADJ
cana-2634	136	74	,	,	PUNCT
cana-2634	136	75	𝑐	𝑐	NOUN
cana-2634	136	76	)	)	PUNCT
cana-2634	136	77	⋅	⋅	PROPN
cana-2634	136	78	𝑊(𝑚	𝑊(𝑚	PROPN
cana-2634	136	79	,	,	PUNCT
cana-2634	136	80	𝑛	𝑛	PROPN
cana-2634	136	81	,	,	PUNCT
cana-2634	136	82	𝑐	𝑐	NOUN
cana-2634	136	83	,	,	PUNCT
cana-2634	136	84	𝑘	𝑘	NOUN
cana-2634	136	85	)	)	PUNCT
cana-2634	136	86	+	+	NUM
cana-2634	136	87	𝑏𝑘	𝑏𝑘	NUM
cana-2634	136	88	)	)	PUNCT
cana-2634	136	89	+	+	CCONJ
cana-2634	136	90	𝐼(𝑖	𝐼(𝑖	NOUN
cana-2634	136	91	,	,	PUNCT
cana-2634	136	92	𝑗	𝑗	INTJ
cana-2634	136	93	,	,	PUNCT
cana-2634	136	94	𝑘	𝑘	NOUN
cana-2634	136	95	)	)	PUNCT
cana-2634	136	96	figure	figure	NOUN
cana-2634	136	97	6	6	NUM
cana-2634	136	98	:	:	PUNCT
cana-2634	136	99	modified	modify	VERB
cana-2634	136	100	resnet-34	resnet-34	PROPN
cana-2634	136	101	architecture	architecture	NOUN
cana-2634	136	102	for	for	ADP
cana-2634	136	103	spectral	spectral	ADJ
cana-2634	136	104	imaging	imaging	NOUN
cana-2634	136	105	3.4	3.4	NUM
cana-2634	136	106	evaluation	evaluation	NOUN
cana-2634	136	107	metrics	metric	NOUN
cana-2634	136	108	[	[	PUNCT
cana-2634	136	109	16	16	NUM
cana-2634	136	110	-	-	SYM
cana-2634	136	111	18	18	NUM
cana-2634	136	112	]	]	PUNCT
cana-2634	136	113	metric	metric	ADJ
cana-2634	136	114	formula	formula	NOUN
cana-2634	136	115	importance	importance	NOUN
cana-2634	136	116	accuracy	accuracy	NOUN
cana-2634	136	117	accuracy	accuracy	NOUN
cana-2634	136	118	=	=	SYM
cana-2634	136	119	correct	correct	ADJ
cana-2634	136	120	predictions	prediction	NOUN
cana-2634	136	121	total	total	ADJ
cana-2634	136	122	predictions	prediction	NOUN
cana-2634	136	123	offers	offer	VERB
cana-2634	136	124	a	a	DET
cana-2634	136	125	general	general	ADJ
cana-2634	136	126	overview	overview	NOUN
cana-2634	136	127	of	of	ADP
cana-2634	136	128	the	the	DET
cana-2634	136	129	model	model	NOUN
cana-2634	136	130	's	's	PART
cana-2634	136	131	effectiveness	effectiveness	NOUN
cana-2634	136	132	.	.	PUNCT
cana-2634	137	1	precision	precision	NOUN
cana-2634	137	2	precision	precision	NOUN
cana-2634	137	3	=	=	SYM
cana-2634	137	4	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
cana-2634	137	5	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
cana-2634	137	6	(	(	PUNCT
cana-2634	137	7	𝑇𝑃	𝑇𝑃	PROPN
cana-2634	137	8	)	)	PUNCT
cana-2634	137	9	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
cana-2634	137	10	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
cana-2634	137	11	(	(	PUNCT
cana-2634	137	12	𝑇𝑃	𝑇𝑃	PROPN
cana-2634	137	13	)	)	PUNCT
cana-2634	138	1	+	+	SYM
cana-2634	139	1	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
cana-2634	139	2	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
cana-2634	139	3	(	(	PUNCT
cana-2634	139	4	𝐹𝑃	𝐹𝑃	PROPN
cana-2634	139	5	)	)	PUNCT
cana-2634	139	6	ensures	ensure	VERB
cana-2634	139	7	that	that	SCONJ
cana-2634	139	8	the	the	DET
cana-2634	139	9	positive	positive	ADJ
cana-2634	139	10	predictions	prediction	NOUN
cana-2634	139	11	made	make	VERB
cana-2634	139	12	by	by	ADP
cana-2634	139	13	the	the	DET
cana-2634	139	14	model	model	NOUN
cana-2634	139	15	is	be	AUX
cana-2634	139	16	reliable	reliable	ADJ
cana-2634	139	17	.	.	PUNCT
cana-2634	140	1	communications	communication	NOUN
cana-2634	140	2	on	on	ADP
cana-2634	140	3	applied	apply	VERB
cana-2634	140	4	nonlinear	nonlinear	ADJ
cana-2634	140	5	analysis	analysis	NOUN
cana-2634	140	6	issn	issn	NOUN
cana-2634	140	7	:	:	PUNCT
cana-2634	140	8	1074	1074	NUM
cana-2634	140	9	-	-	PUNCT
cana-2634	140	10	133x	133x	NUM
cana-2634	140	11	vol	vol	NOUN
cana-2634	140	12	32	32	NUM
cana-2634	140	13	no	no	NOUN
cana-2634	140	14	.	.	PUNCT
cana-2634	141	1	3s	3s	NUM
cana-2634	141	2	(	(	PUNCT
cana-2634	141	3	2025	2025	NUM
cana-2634	141	4	)	)	PUNCT
cana-2634	141	5	239	239	NUM
cana-2634	141	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	141	7	reducing	reduce	VERB
cana-2634	141	8	unnecessary	unnecessary	ADJ
cana-2634	141	9	interventions	intervention	NOUN
cana-2634	141	10	.	.	PUNCT
cana-2634	142	1	recall	recall	NOUN
cana-2634	142	2	(	(	PUNCT
cana-2634	142	3	sensitivity	sensitivity	NOUN
cana-2634	142	4	)	)	PUNCT
cana-2634	142	5	recall	recall	NOUN
cana-2634	142	6	=	=	PROPN
cana-2634	142	7	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
cana-2634	142	8	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
cana-2634	142	9	(	(	PUNCT
cana-2634	142	10	𝑇𝑃	𝑇𝑃	PROPN
cana-2634	142	11	)	)	PUNCT
cana-2634	142	12	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
cana-2634	142	13	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
cana-2634	142	14	(	(	PUNCT
cana-2634	142	15	𝑇𝑃	𝑇𝑃	PROPN
cana-2634	142	16	)	)	PUNCT
cana-2634	143	1	+	+	CCONJ
cana-2634	143	2	false	false	ADJ
cana-2634	143	3	negatives	negative	NOUN
cana-2634	143	4	(	(	PUNCT
cana-2634	143	5	fn	fn	NOUN
cana-2634	143	6	)	)	PUNCT
cana-2634	143	7	ensures	ensure	VERB
cana-2634	143	8	that	that	SCONJ
cana-2634	143	9	most	most	ADV
cana-2634	143	10	diseased	diseased	ADJ
cana-2634	143	11	plants	plant	NOUN
cana-2634	143	12	are	be	AUX
cana-2634	143	13	identified	identify	VERB
cana-2634	143	14	,	,	PUNCT
cana-2634	143	15	which	which	PRON
cana-2634	143	16	is	be	AUX
cana-2634	143	17	crucial	crucial	ADJ
cana-2634	143	18	for	for	ADP
cana-2634	143	19	preventing	prevent	VERB
cana-2634	143	20	the	the	DET
cana-2634	143	21	spread	spread	NOUN
cana-2634	143	22	of	of	ADP
cana-2634	143	23	disease	disease	NOUN
cana-2634	143	24	.	.	PUNCT
cana-2634	144	1	f1	f1	NOUN
cana-2634	144	2	score	score	NOUN
cana-2634	144	3	f1	f1	NOUN
cana-2634	144	4	score	score	NOUN
cana-2634	144	5	=	=	SYM
cana-2634	144	6	2	2	NUM
cana-2634	144	7	×	×	NOUN
cana-2634	144	8	(	(	PUNCT
cana-2634	144	9	precision	precision	NOUN
cana-2634	144	10	×	×	PROPN
cana-2634	144	11	recall	recall	NOUN
cana-2634	144	12	precision+	precision+	X
cana-2634	144	13	recall	recall	NOUN
cana-2634	144	14	)	)	PUNCT
cana-2634	144	15	helps	help	VERB
cana-2634	144	16	to	to	PART
cana-2634	144	17	achieve	achieve	VERB
cana-2634	144	18	an	an	DET
cana-2634	144	19	optimal	optimal	ADJ
cana-2634	144	20	balance	balance	NOUN
cana-2634	144	21	between	between	ADP
cana-2634	144	22	precision	precision	NOUN
cana-2634	144	23	and	and	CCONJ
cana-2634	144	24	recall	recall	NOUN
cana-2634	144	25	.	.	PUNCT
cana-2634	145	1	which	which	PRON
cana-2634	145	2	is	be	AUX
cana-2634	145	3	especially	especially	ADV
cana-2634	145	4	important	important	ADJ
cana-2634	145	5	when	when	SCONJ
cana-2634	145	6	both	both	DET
cana-2634	145	7	false	false	ADJ
cana-2634	145	8	positives	positive	NOUN
cana-2634	145	9	and	and	CCONJ
cana-2634	145	10	false	false	ADJ
cana-2634	145	11	negatives	negative	NOUN
cana-2634	145	12	are	be	AUX
cana-2634	145	13	costly	costly	ADJ
cana-2634	145	14	.	.	PUNCT
cana-2634	146	1	4	4	X
cana-2634	146	2	.	.	NOUN
cana-2634	146	3	novel	novel	ADJ
cana-2634	146	4	technology	technology	NOUN
cana-2634	146	5	proposed	propose	VERB
cana-2634	146	6	:	:	PUNCT
cana-2634	146	7	integration	integration	NOUN
cana-2634	146	8	of	of	ADP
cana-2634	146	9	spectral	spectral	ADJ
cana-2634	146	10	imaging	imaging	NOUN
cana-2634	146	11	with	with	ADP
cana-2634	146	12	convolutional	convolutional	ADJ
cana-2634	146	13	neural	neural	ADJ
cana-2634	146	14	networks	network	NOUN
cana-2634	146	15	4.1	4.1	NUM
cana-2634	146	16	integration	integration	NOUN
cana-2634	146	17	technique	technique	NOUN
cana-2634	146	18	the	the	DET
cana-2634	146	19	traditional	traditional	ADJ
cana-2634	146	20	architecture	architecture	NOUN
cana-2634	146	21	of	of	ADP
cana-2634	146	22	the	the	DET
cana-2634	146	23	convolutional	convolutional	ADJ
cana-2634	146	24	neural	neural	ADJ
cana-2634	146	25	network	network	NOUN
cana-2634	146	26	is	be	AUX
cana-2634	146	27	modified	modify	VERB
cana-2634	146	28	to	to	PART
cana-2634	146	29	include	include	VERB
cana-2634	146	30	the	the	DET
cana-2634	146	31	data	datum	NOUN
cana-2634	146	32	in	in	ADP
cana-2634	146	33	spectral	spectral	ADJ
cana-2634	146	34	imaging	imaging	NOUN
cana-2634	146	35	.	.	PUNCT
cana-2634	147	1	the	the	DET
cana-2634	147	2	changes	change	NOUN
cana-2634	147	3	are	be	AUX
cana-2634	147	4	quite	quite	ADV
cana-2634	147	5	remarkable	remarkable	ADJ
cana-2634	147	6	.	.	PUNCT
cana-2634	148	1	the	the	DET
cana-2634	148	2	improvements	improvement	NOUN
cana-2634	148	3	are	be	AUX
cana-2634	148	4	made	make	VERB
cana-2634	148	5	to	to	PART
cana-2634	148	6	make	make	VERB
cana-2634	148	7	the	the	DET
cana-2634	148	8	network	network	NOUN
cana-2634	148	9	respond	respond	VERB
cana-2634	148	10	to	to	ADP
cana-2634	148	11	minor	minor	ADJ
cana-2634	148	12	physiological	physiological	ADJ
cana-2634	148	13	changes	change	NOUN
cana-2634	148	14	in	in	ADP
cana-2634	148	15	plants	plant	NOUN
cana-2634	148	16	,	,	PUNCT
cana-2634	148	17	which	which	PRON
cana-2634	148	18	can	can	AUX
cana-2634	148	19	act	act	VERB
cana-2634	148	20	as	as	ADP
cana-2634	148	21	indications	indication	NOUN
cana-2634	148	22	to	to	PART
cana-2634	148	23	represent	represent	VERB
cana-2634	148	24	diseases	disease	NOUN
cana-2634	148	25	,	,	PUNCT
cana-2634	148	26	deficiencies	deficiency	NOUN
cana-2634	148	27	of	of	ADP
cana-2634	148	28	nutrients	nutrient	NOUN
cana-2634	148	29	,	,	PUNCT
cana-2634	148	30	and	and	CCONJ
cana-2634	148	31	environmental	environmental	ADJ
cana-2634	148	32	stresses	stress	NOUN
cana-2634	148	33	without	without	ADP
cana-2634	148	34	the	the	DET
cana-2634	148	35	help	help	NOUN
cana-2634	148	36	of	of	ADP
cana-2634	148	37	standard	standard	ADJ
cana-2634	148	38	rgb	rgb	PROPN
cana-2634	148	39	imaging	imaging	NOUN
cana-2634	148	40	expressions	expression	NOUN
cana-2634	148	41	.	.	PUNCT
cana-2634	149	1	advanced	advanced	ADJ
cana-2634	149	2	technical	technical	ADJ
cana-2634	149	3	modifications	modification	NOUN
cana-2634	149	4	and	and	CCONJ
cana-2634	149	5	modelling	modelling	NOUN
cana-2634	149	6	:	:	PUNCT
cana-2634	149	7	input	input	NOUN
cana-2634	149	8	layer	layer	NOUN
cana-2634	149	9	transformation	transformation	NOUN
cana-2634	149	10	:	:	PUNCT
cana-2634	149	11	•	•	NUM
cana-2634	149	12	modification	modification	NOUN
cana-2634	149	13	the	the	DET
cana-2634	149	14	first	first	ADJ
cana-2634	149	15	modification	modification	NOUN
cana-2634	149	16	involved	involve	VERB
cana-2634	149	17	redesigning	redesign	VERB
cana-2634	149	18	the	the	DET
cana-2634	149	19	input	input	NOUN
cana-2634	149	20	layer	layer	NOUN
cana-2634	149	21	to	to	PART
cana-2634	149	22	allow	allow	VERB
cana-2634	149	23	for	for	ADP
cana-2634	149	24	processing	process	VERB
cana-2634	149	25	multiple	multiple	ADJ
cana-2634	149	26	spectral	spectral	ADJ
cana-2634	149	27	bands	band	NOUN
cana-2634	149	28	,	,	PUNCT
cana-2634	149	29	which	which	PRON
cana-2634	149	30	are	be	AUX
cana-2634	149	31	outside	outside	ADP
cana-2634	149	32	the	the	DET
cana-2634	149	33	traditional	traditional	ADJ
cana-2634	149	34	rgq	rgq	NOUN
cana-2634	149	35	spectrum	spectrum	NOUN
cana-2634	149	36	.	.	PUNCT
cana-2634	150	1	•	•	NUM
cana-2634	150	2	mathematical	mathematical	ADJ
cana-2634	150	3	model	model	NOUN
cana-2634	150	4	:	:	PUNCT
cana-2634	150	5	this	this	DET
cana-2634	150	6	layer	layer	NOUN
cana-2634	150	7	alters	alter	VERB
cana-2634	150	8	the	the	DET
cana-2634	150	9	input	input	NOUN
cana-2634	150	10	tensor	tensor	NOUN
cana-2634	150	11	from	from	ADP
cana-2634	150	12	the	the	DET
cana-2634	150	13	𝐼lad	𝐼lad	PROPN
cana-2634	150	14	𝑅𝐺𝐵	𝑅𝐺𝐵	PROPN
cana-2634	150	15	style	style	NOUN
cana-2634	150	16	of	of	ADP
cana-2634	150	17	an	an	DET
cana-2634	150	18	input	input	NOUN
cana-2634	150	19	tensor	tensor	NOUN
cana-2634	150	20	to	to	ADP
cana-2634	150	21	one	one	NUM
cana-2634	150	22	containing	contain	VERB
cana-2634	150	23	several	several	ADJ
cana-2634	150	24	spectral	spectral	ADJ
cana-2634	150	25	bands𝐼(h	bands𝐼(h	NOUN
cana-2634	150	26	,	,	PUNCT
cana-2634	150	27	w,𝑁	w,𝑁	PROPN
cana-2634	150	28	)	)	PUNCT
cana-2634	150	29	.	.	PUNCT
cana-2634	151	1	here	here	ADV
cana-2634	151	2	,	,	PUNCT
cana-2634	151	3	𝑁	𝑁	PROPN
cana-2634	151	4	repesents	repesent	VERB
cana-2634	151	5	the	the	DET
cana-2634	151	6	number	number	NOUN
cana-2634	151	7	of	of	ADP
cana-2634	151	8	spectral	spectral	ADJ
cana-2634	151	9	bands	band	NOUN
cana-2634	151	10	:	:	PUNCT
cana-2634	151	11	input	input	NOUN
cana-2634	151	12	shape	shape	NOUN
cana-2634	151	13	=	=	PUNCT
cana-2634	151	14	(	(	PUNCT
cana-2634	151	15	height	height	NOUN
cana-2634	151	16	,	,	PUNCT
cana-2634	151	17	width	width	NOUN
cana-2634	151	18	,	,	PUNCT
cana-2634	151	19	𝑁	𝑁	PROPN
cana-2634	151	20	)	)	PUNCT
cana-2634	151	21	•	•	NOUN
cana-2634	151	22	tensor	tensor	NOUN
cana-2634	151	23	configuration	configuration	NOUN
cana-2634	151	24	adjustment	adjustment	NOUN
cana-2634	151	25	:	:	PUNCT
cana-2634	151	26	the	the	DET
cana-2634	151	27	dimensionality	dimensionality	NOUN
cana-2634	151	28	of	of	ADP
cana-2634	151	29	the	the	DET
cana-2634	151	30	input	input	NOUN
cana-2634	151	31	layer	layer	NOUN
cana-2634	151	32	has	have	AUX
cana-2634	151	33	been	be	AUX
cana-2634	151	34	modified	modify	VERB
cana-2634	151	35	to	to	PART
cana-2634	151	36	process	process	VERB
cana-2634	151	37	the	the	DET
cana-2634	151	38	spectral	spectral	ADJ
cana-2634	151	39	data	datum	NOUN
cana-2634	151	40	effectively	effectively	ADV
cana-2634	151	41	.	.	PUNCT
cana-2634	152	1	convolutional	convolutional	ADJ
cana-2634	152	2	filters	filter	NOUN
cana-2634	152	3	refinement	refinement	NOUN
cana-2634	152	4	:	:	PUNCT
cana-2634	152	5	•	•	NUM
cana-2634	152	6	improvement	improvement	NOUN
cana-2634	152	7	:	:	PUNCT
cana-2634	152	8	increase	increase	NOUN
cana-2634	152	9	of	of	ADP
cana-2634	152	10	the	the	DET
cana-2634	152	11	convolutional	convolutional	ADJ
cana-2634	152	12	filter	filter	NOUN
cana-2634	152	13	within	within	ADP
cana-2634	152	14	the	the	DET
cana-2634	152	15	layers	layer	NOUN
cana-2634	152	16	to	to	PART
cana-2634	152	17	capture	capture	VERB
cana-2634	152	18	the	the	DET
cana-2634	152	19	details	detail	NOUN
cana-2634	152	20	that	that	PRON
cana-2634	152	21	lie	lie	VERB
cana-2634	152	22	elaborately	elaborately	ADV
cana-2634	152	23	in	in	ADP
cana-2634	152	24	each	each	DET
cana-2634	152	25	spectral	spectral	ADJ
cana-2634	152	26	band	band	NOUN
cana-2634	152	27	.	.	PUNCT
cana-2634	153	1	•	•	NUM
cana-2634	153	2	mathematical	mathematical	ADJ
cana-2634	153	3	formulation	formulation	NOUN
cana-2634	153	4	:	:	PUNCT
cana-2634	153	5	the	the	DET
cana-2634	153	6	convolutional	convolutional	ADJ
cana-2634	153	7	operation	operation	NOUN
cana-2634	153	8	is	be	AUX
cana-2634	153	9	redefined	redefine	VERB
cana-2634	153	10	for	for	ADP
cana-2634	153	11	𝑁	𝑁	PROPN
cana-2634	153	12	spectral	spectral	ADJ
cana-2634	153	13	bands	band	NOUN
cana-2634	153	14	to	to	PART
cana-2634	153	15	modulate	modulate	VERB
cana-2634	153	16	the	the	DET
cana-2634	153	17	interactions	interaction	NOUN
cana-2634	153	18	of	of	ADP
cana-2634	153	19	the	the	DET
cana-2634	153	20	filter	filter	NOUN
cana-2634	153	21	with	with	ADP
cana-2634	153	22	the	the	DET
cana-2634	153	23	incut	incut	ADJ
cana-2634	153	24	𝑎	𝑎	NOUN
cana-2634	153	25	follaws	follaw	NOUN
cana-2634	153	26	:	:	PUNCT
cana-2634	153	27	𝑂(𝑥	𝑂(𝑥	NUM
cana-2634	153	28	,	,	PUNCT
cana-2634	153	29	𝑦	𝑦	NOUN
cana-2634	153	30	)	)	PUNCT
cana-2634	153	31	=	=	PUNCT
cana-2634	154	1	∑	∑	PUNCT
cana-2634	154	2	  	  	SPACE
cana-2634	154	3	𝑎	𝑎	X
cana-2634	154	4	𝑚=−𝑎	𝑚=−𝑎	PROPN
cana-2634	154	5	∑	∑	ADP
cana-2634	154	6	  	  	SPACE
cana-2634	154	7	𝑏	𝑏	PRON
cana-2634	154	8	𝑛=−𝑏	𝑛=−𝑏	NOUN
cana-2634	154	9	∑	∑	ADP
cana-2634	154	10	  	  	SPACE
cana-2634	154	11	𝑁	𝑁	PROPN
cana-2634	154	12	𝑘−1	𝑘−1	PROPN
cana-2634	154	13	𝐼(𝑥	𝐼(𝑥	X
cana-2634	154	14	+	+	CCONJ
cana-2634	154	15	𝑚	𝑚	PROPN
cana-2634	154	16	,	,	PUNCT
cana-2634	154	17	𝑦	𝑦	NOUN
cana-2634	154	18	+	+	SYM
cana-2634	154	19	𝑛	𝑛	PROPN
cana-2634	154	20	,	,	PUNCT
cana-2634	154	21	𝑘	𝑘	NOUN
cana-2634	154	22	)	)	PUNCT
cana-2634	154	23	×	×	NOUN
cana-2634	154	24	𝐹(𝑚	𝐹(𝑚	NOUN
cana-2634	154	25	,	,	PUNCT
cana-2634	154	26	𝑛	𝑛	PROPN
cana-2634	154	27	,	,	PUNCT
cana-2634	154	28	𝑘	𝑘	NOUN
cana-2634	154	29	)	)	PUNCT
cana-2634	154	30	communications	communication	NOUN
cana-2634	154	31	on	on	ADP
cana-2634	154	32	applied	apply	VERB
cana-2634	154	33	nonlinear	nonlinear	ADJ
cana-2634	154	34	analysis	analysis	NOUN
cana-2634	154	35	issn	issn	NOUN
cana-2634	154	36	:	:	PUNCT
cana-2634	154	37	1074	1074	NUM
cana-2634	154	38	-	-	PUNCT
cana-2634	154	39	133x	133x	NUM
cana-2634	154	40	vol	vol	NOUN
cana-2634	154	41	32	32	NUM
cana-2634	154	42	no	no	NOUN
cana-2634	154	43	.	.	PUNCT
cana-2634	155	1	3s	3s	NUM
cana-2634	155	2	(	(	PUNCT
cana-2634	155	3	2025	2025	NUM
cana-2634	155	4	)	)	PUNCT
cana-2634	155	5	240	240	NUM
cana-2634	155	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	155	7	•	•	NUM
cana-2634	155	8	where	where	SCONJ
cana-2634	155	9	𝐹(𝑚	𝐹(𝑚	ADP
cana-2634	155	10	,	,	PUNCT
cana-2634	155	11	𝑛	𝑛	PROPN
cana-2634	155	12	,	,	PUNCT
cana-2634	155	13	𝑘	𝑘	NOUN
cana-2634	155	14	)	)	PUNCT
cana-2634	155	15	are	be	AUX
cana-2634	155	16	the	the	DET
cana-2634	155	17	𝑁	𝑁	PROPN
cana-2634	155	18	modified	modify	VERB
cana-2634	155	19	filter	filter	NOUN
cana-2634	155	20	weights	weight	NOUN
cana-2634	155	21	at	at	ADP
cana-2634	155	22	the	the	DET
cana-2634	155	23	(	(	PUNCT
cana-2634	155	24	𝑚	𝑚	PROPN
cana-2634	155	25	,	,	PUNCT
cana-2634	155	26	𝑛	𝑛	NOUN
cana-2634	155	27	)	)	PUNCT
cana-2634	155	28	offsets	offset	NOUN
cana-2634	155	29	where	where	SCONJ
cana-2634	155	30	each	each	DET
cana-2634	155	31	filter	filter	NOUN
cana-2634	155	32	offset	offset	NOUN
cana-2634	155	33	has	have	VERB
cana-2634	155	34	a	a	DET
cana-2634	155	35	different	different	ADJ
cana-2634	155	36	weight	weight	NOUN
cana-2634	155	37	for	for	ADP
cana-2634	155	38	each	each	DET
cana-2634	155	39	𝑘-th	𝑘-th	PROPN
cana-2634	155	40	spectral	spectral	ADJ
cana-2634	155	41	band	band	NOUN
cana-2634	155	42	.	.	PUNCT
cana-2634	156	1	band	band	NOUN
cana-2634	156	2	-	-	PUNCT
cana-2634	156	3	specific	specific	ADJ
cana-2634	156	4	normalization	normalization	NOUN
cana-2634	156	5	:	:	PUNCT
cana-2634	156	6	•	•	NUM
cana-2634	156	7	approach	approach	NOUN
cana-2634	156	8	:	:	PUNCT
cana-2634	156	9	to	to	PART
cana-2634	156	10	rectify	rectify	VERB
cana-2634	156	11	the	the	DET
cana-2634	156	12	learning	learning	NOUN
cana-2634	156	13	bias	bias	NOUN
cana-2634	156	14	and	and	CCONJ
cana-2634	156	15	make	make	VERB
cana-2634	156	16	the	the	DET
cana-2634	156	17	same	same	ADJ
cana-2634	156	18	contribution	contribution	NOUN
cana-2634	156	19	by	by	ADP
cana-2634	156	20	all	all	DET
cana-2634	156	21	spectral	spectral	ADJ
cana-2634	156	22	hands	hand	NOUN
cana-2634	156	23	,	,	PUNCT
cana-2634	156	24	normalize	normalize	VERB
cana-2634	156	25	each	each	DET
cana-2634	156	26	band	band	NOUN
cana-2634	156	27	separately	separately	ADV
cana-2634	156	28	.	.	PUNCT
cana-2634	157	1	•	•	NUM
cana-2634	157	2	mathematical	mathematical	ADJ
cana-2634	157	3	approach	approach	NOUN
cana-2634	157	4	:	:	PUNCT
cana-2634	157	5	the	the	DET
cana-2634	157	6	steps	step	NOUN
cana-2634	157	7	are	be	AUX
cana-2634	157	8	followed	follow	VERB
cana-2634	157	9	for	for	ADP
cana-2634	157	10	normalization	normalization	NOUN
cana-2634	157	11	in	in	ADP
cana-2634	157	12	each	each	DET
cana-2634	157	13	band	band	NOUN
cana-2634	157	14	of	of	ADP
cana-2634	157	15	the	the	DET
cana-2634	157	16	spectral	spectral	ADJ
cana-2634	157	17	data	datum	NOUN
cana-2634	157	18	,	,	PUNCT
cana-2634	157	19	𝐵n	𝐵n	PROPN
cana-2634	157	20	:	:	PUNCT
cana-2634	157	21	𝐵𝑛	𝐵𝑛	NUM
cana-2634	157	22	′	′	NUM
cana-2634	158	1	=	=	PUNCT
cana-2634	159	1	𝐵𝑛	𝐵𝑛	PROPN
cana-2634	159	2	−	−	NOUN
cana-2634	160	1	𝜇𝑛	𝜇𝑛	INTJ
cana-2634	160	2	𝜎𝑛	𝜎𝑛	INTJ
cana-2634	160	3	•	•	INTJ
cana-2634	160	4	where	where	SCONJ
cana-2634	160	5	𝜇𝑛	𝜇𝑛	NOUN
cana-2634	160	6	and	and	CCONJ
cana-2634	160	7	𝜎𝑛	𝜎𝑛	NOUN
cana-2634	160	8	are	be	AUX
cana-2634	160	9	the	the	DET
cana-2634	160	10	computed	computed	ADJ
cana-2634	160	11	average	average	ADJ
cana-2634	160	12	and	and	CCONJ
cana-2634	160	13	standard	standard	ADJ
cana-2634	160	14	devistion	devistion	NOUN
cana-2634	160	15	of	of	ADP
cana-2634	160	16	each	each	DET
cana-2634	160	17	band	band	NOUN
cana-2634	160	18	in	in	ADP
cana-2634	160	19	the	the	DET
cana-2634	160	20	dataset	dataset	NOUN
cana-2634	160	21	,	,	PUNCT
cana-2634	160	22	respectively	respectively	ADV
cana-2634	160	23	.	.	PUNCT
cana-2634	161	1	enhanced	enhance	VERB
cana-2634	161	2	by	by	ADP
cana-2634	161	3	architectural	architectural	ADJ
cana-2634	161	4	deep	deep	ADJ
cana-2634	161	5	layer	layer	NOUN
cana-2634	161	6	:	:	PUNCT
cana-2634	161	7	•	•	NUM
cana-2634	161	8	complexity	complexity	NOUN
cana-2634	161	9	handling	handling	NOUN
cana-2634	161	10	:	:	PUNCT
cana-2634	161	11	in	in	ADP
cana-2634	161	12	the	the	DET
cana-2634	161	13	case	case	NOUN
cana-2634	161	14	of	of	ADP
cana-2634	161	15	high	high	ADJ
cana-2634	161	16	-	-	PUNCT
cana-2634	161	17	dimensional	dimensional	ADJ
cana-2634	161	18	spectral	spectral	ADJ
cana-2634	161	19	data	datum	NOUN
cana-2634	161	20	,	,	PUNCT
cana-2634	161	21	it	it	PRON
cana-2634	161	22	causes	cause	VERB
cana-2634	161	23	enormous	enormous	ADJ
cana-2634	161	24	complexities	complexity	NOUN
cana-2634	161	25	within	within	ADP
cana-2634	161	26	the	the	DET
cana-2634	161	27	information	information	NOUN
cana-2634	161	28	without	without	ADP
cana-2634	161	29	any	any	DET
cana-2634	161	30	modification	modification	NOUN
cana-2634	161	31	in	in	ADP
cana-2634	161	32	deep	deep	ADJ
cana-2634	161	33	layers	layer	NOUN
cana-2634	161	34	of	of	ADP
cana-2634	161	35	the	the	DET
cana-2634	161	36	network	network	NOUN
cana-2634	161	37	,	,	PUNCT
cana-2634	161	38	managing	manage	VERB
cana-2634	161	39	such	such	ADJ
cana-2634	161	40	complexities	complexity	NOUN
cana-2634	161	41	becomes	become	VERB
cana-2634	161	42	difficult	difficult	ADJ
cana-2634	161	43	.	.	PUNCT
cana-2634	162	1	•	•	NUM
cana-2634	162	2	mathematical	mathematical	ADJ
cana-2634	162	3	improvements	improvement	NOUN
cana-2634	162	4	:	:	PUNCT
cana-2634	162	5	the	the	DET
cana-2634	162	6	more	more	ADV
cana-2634	162	7	advanced	advanced	ADJ
cana-2634	162	8	techniques	technique	NOUN
cana-2634	162	9	involve	involve	VERB
cana-2634	162	10	managing	manage	VERB
cana-2634	162	11	the	the	DET
cana-2634	162	12	spectral	spectral	ADJ
cana-2634	162	13	data	datum	NOUN
cana-2634	162	14	with	with	ADP
cana-2634	162	15	residual	residual	ADJ
cana-2634	162	16	connections	connection	NOUN
cana-2634	162	17	and	and	CCONJ
cana-2634	162	18	depth	depth	NOUN
cana-2634	162	19	wise	wise	ADJ
cana-2634	162	20	separable	separable	ADJ
cana-2634	162	21	convolutions	convolution	NOUN
cana-2634	162	22	.	.	PUNCT
cana-2634	163	1	here	here	ADV
cana-2634	163	2	,	,	PUNCT
cana-2634	163	3	f(x	f(x	PROPN
cana-2634	163	4	)	)	PUNCT
cana-2634	163	5	is	be	AUX
cana-2634	163	6	transformed	transform	VERB
cana-2634	163	7	data	datum	NOUN
cana-2634	163	8	,	,	PUNCT
cana-2634	163	9	such	such	ADJ
cana-2634	163	10	as	as	ADP
cana-2634	163	11	convolutions	convolution	NOUN
cana-2634	163	12	;	;	PUNCT
cana-2634	163	13	with	with	ADP
cana-2634	163	14	residual	residual	ADJ
cana-2634	163	15	contributions	contribution	NOUN
cana-2634	163	16	,	,	PUNCT
cana-2634	163	17	the	the	DET
cana-2634	163	18	output	output	NOUN
cana-2634	163	19	will	will	AUX
cana-2634	163	20	ultimately	ultimately	ADV
cana-2634	163	21	be	be	AUX
cana-2634	163	22	smoother	smooth	ADJ
cana-2634	163	23	for	for	ADP
cana-2634	163	24	practical	practical	ADJ
cana-2634	163	25	learning	learning	NOUN
cana-2634	163	26	of	of	ADP
cana-2634	163	27	gradients	gradient	NOUN
cana-2634	163	28	.	.	PUNCT
cana-2634	164	1	these	these	PRON
cana-2634	164	2	are	be	AUX
cana-2634	164	3	very	very	ADV
cana-2634	164	4	advanced	advanced	ADJ
cana-2634	164	5	modifications	modification	NOUN
cana-2634	164	6	of	of	ADP
cana-2634	164	7	the	the	DET
cana-2634	164	8	cnn	cnn	PROPN
cana-2634	164	9	architecture	architecture	NOUN
cana-2634	164	10	to	to	PART
cana-2634	164	11	fit	fit	VERB
cana-2634	164	12	spectral	spectral	ADJ
cana-2634	164	13	imaging	imaging	NOUN
cana-2634	164	14	data	datum	NOUN
cana-2634	164	15	and	and	CCONJ
cana-2634	164	16	significantly	significantly	ADV
cana-2634	164	17	assist	assist	VERB
cana-2634	164	18	the	the	DET
cana-2634	164	19	network	network	NOUN
cana-2634	164	20	in	in	ADP
cana-2634	164	21	processing	process	VERB
cana-2634	164	22	complicated	complicated	ADJ
cana-2634	164	23	information	information	NOUN
cana-2634	164	24	from	from	ADP
cana-2634	164	25	a	a	DET
cana-2634	164	26	spectrum	spectrum	NOUN
cana-2634	164	27	.	.	PUNCT
cana-2634	165	1	these	these	PRON
cana-2634	165	2	are	be	AUX
cana-2634	165	3	all	all	PRON
cana-2634	165	4	critical	critical	ADJ
cana-2634	165	5	capabilities	capability	NOUN
cana-2634	165	6	for	for	ADP
cana-2634	165	7	precision	precision	NOUN
cana-2634	165	8	agriculture	agriculture	NOUN
cana-2634	165	9	in	in	ADP
cana-2634	165	10	accurately	accurately	ADV
cana-2634	165	11	detecting	detect	VERB
cana-2634	165	12	diseases	disease	NOUN
cana-2634	165	13	and	and	CCONJ
cana-2634	165	14	improving	improve	VERB
cana-2634	165	15	management	management	NOUN
cana-2634	165	16	practices	practice	NOUN
cana-2634	165	17	for	for	ADP
cana-2634	165	18	healthy	healthy	ADJ
cana-2634	165	19	crop	crop	NOUN
cana-2634	165	20	production	production	NOUN
cana-2634	165	21	and	and	CCONJ
cana-2634	165	22	optimum	optimum	ADJ
cana-2634	165	23	resource	resource	NOUN
cana-2634	165	24	use	use	NOUN
cana-2634	165	25	.	.	PUNCT
cana-2634	166	1	proposed	propose	VERB
cana-2634	166	2	algorithm	algorithm	NOUN
cana-2634	166	3	:	:	PUNCT
cana-2634	166	4	integration	integration	NOUN
cana-2634	166	5	of	of	ADP
cana-2634	166	6	spectral	spectral	ADJ
cana-2634	166	7	imaging	imaging	NOUN
cana-2634	166	8	with	with	ADP
cana-2634	166	9	cnns	cnn	NOUN
cana-2634	166	10	for	for	ADP
cana-2634	166	11	enhanced	enhanced	ADJ
cana-2634	166	12	plant	plant	NOUN
cana-2634	166	13	disease	disease	NOUN
cana-2634	166	14	detection	detection	NOUN
cana-2634	166	15	1	1	NUM
cana-2634	166	16	//	//	NOUN
cana-2634	166	17	data	data	NOUN
cana-2634	166	18	collection	collection	NOUN
cana-2634	166	19	2	2	NUM
cana-2634	166	20	initialize	initialize	NOUN
cana-2634	166	21	dataset	dataset	VERB
cana-2634	166	22	from	from	ADP
cana-2634	166	23	plant	plant	NOUN
cana-2634	166	24	village	village	NOUN
cana-2634	166	25	,	,	PUNCT
cana-2634	166	26	with	with	ADP
cana-2634	166	27	~70,000	~70,000	PUNCT
cana-2634	166	28	rgb	rgb	PROPN
cana-2634	166	29	images	image	NOUN
cana-2634	166	30	at	at	ADP
cana-2634	166	31	256x256	256x256	PROPN
cana-2634	166	32	resolution	resolution	NOUN
cana-2634	166	33	;	;	PUNCT
cana-2634	166	34	3	3	NUM
cana-2634	166	35	//	//	NOUN
cana-2634	166	36	data	datum	NOUN
cana-2634	166	37	preprocessing	preprocesse	VERB
cana-2634	166	38	4	4	NUM
cana-2634	166	39	for	for	ADP
cana-2634	166	40	each	each	DET
cana-2634	166	41	image	image	NOUN
cana-2634	166	42	in	in	ADP
cana-2634	166	43	dataset	dataset	NOUN
cana-2634	166	44	do	do	AUX
cana-2634	166	45	5	5	NUM
cana-2634	166	46	convert	convert	VERB
cana-2634	166	47	rgb	rgb	PROPN
cana-2634	166	48	pixel	pixel	PROPN
cana-2634	166	49	[	[	X
cana-2634	166	50	r	r	X
cana-2634	166	51	,	,	PUNCT
cana-2634	166	52	g	g	PROPN
cana-2634	166	53	,	,	PUNCT
cana-2634	166	54	b	b	NOUN
cana-2634	166	55	]	]	X
cana-2634	166	56	to	to	ADP
cana-2634	166	57	spectral	spectral	ADJ
cana-2634	166	58	bands	band	NOUN
cana-2634	166	59	s(λ	s(λ	NOUN
cana-2634	166	60	)	)	PUNCT
cana-2634	166	61	using	use	VERB
cana-2634	166	62	s(λ	s(λ	NOUN
cana-2634	166	63	)	)	PUNCT
cana-2634	166	64	=	=	SYM
cana-2634	167	1	f(r	f(r	NOUN
cana-2634	167	2	,	,	PUNCT
cana-2634	167	3	g	g	NOUN
cana-2634	167	4	,	,	PUNCT
cana-2634	167	5	b	b	NOUN
cana-2634	167	6	)	)	PUNCT
cana-2634	167	7	;	;	PUNCT
cana-2634	167	8	//	//	NUM
cana-2634	167	9	simulated	simulate	VERB
cana-2634	167	10	spectral	spectral	ADJ
cana-2634	167	11	conversion	conversion	NOUN
cana-2634	167	12	6	6	NUM
cana-2634	167	13	normalize	normalize	VERB
cana-2634	167	14	each	each	DET
cana-2634	167	15	spectral	spectral	ADJ
cana-2634	167	16	band	band	NOUN
cana-2634	167	17	:	:	PUNCT
cana-2634	167	18	s'(λ	s'(λ	ADV
cana-2634	167	19	)	)	PUNCT
cana-2634	167	20	=	=	SYM
cana-2634	167	21	(	(	PUNCT
cana-2634	167	22	s(λ	s(λ	PROPN
cana-2634	167	23	)	)	PUNCT
cana-2634	167	24	μ(λ	μ(λ	PROPN
cana-2634	167	25	)	)	PUNCT
cana-2634	167	26	)	)	PUNCT
cana-2634	167	27	/	/	SYM
cana-2634	167	28	σ(λ	σ(λ	PROPN
cana-2634	167	29	)	)	PUNCT
cana-2634	167	30	;	;	PUNCT
cana-2634	167	31	7	7	NUM
cana-2634	167	32	augment	augment	NOUN
cana-2634	167	33	images	image	NOUN
cana-2634	167	34	with	with	ADP
cana-2634	167	35	rotations	rotation	NOUN
cana-2634	167	36	,	,	PUNCT
cana-2634	167	37	scaling	scaling	NOUN
cana-2634	167	38	,	,	PUNCT
cana-2634	167	39	and	and	CCONJ
cana-2634	167	40	flips	flip	VERB
cana-2634	167	41	;	;	PUNCT
cana-2634	167	42	8	8	NUM
cana-2634	167	43	end	end	NOUN
cana-2634	167	44	for	for	ADP
cana-2634	167	45	9	9	NUM
cana-2634	167	46	//	//	NOUN
cana-2634	167	47	model	model	NOUN
cana-2634	167	48	setup	setup	NOUN
cana-2634	167	49	and	and	CCONJ
cana-2634	167	50	learning	learn	VERB
cana-2634	167	51	10	10	NUM
cana-2634	167	52	select	select	ADJ
cana-2634	167	53	cnn	cnn	NOUN
cana-2634	167	54	architecture	architecture	NOUN
cana-2634	167	55	(	(	PUNCT
cana-2634	167	56	vgg16	vgg16	NOUN
cana-2634	167	57	,	,	PUNCT
cana-2634	167	58	efficientnet	efficientnet	PROPN
cana-2634	167	59	,	,	PUNCT
cana-2634	167	60	inception	inception	PROPN
cana-2634	167	61	v6	v6	PROPN
cana-2634	167	62	,	,	PUNCT
cana-2634	167	63	resnet-34	resnet-34	PROPN
cana-2634	167	64	)	)	PUNCT
cana-2634	167	65	;	;	PUNCT
cana-2634	167	66	11	11	NUM
cana-2634	167	67	adapt	adapt	ADJ
cana-2634	167	68	input	input	NOUN
cana-2634	167	69	layer	layer	NOUN
cana-2634	167	70	to	to	PART
cana-2634	167	71	receive	receive	VERB
cana-2634	167	72	images	image	NOUN
cana-2634	167	73	of	of	ADP
cana-2634	167	74	shape	shape	NOUN
cana-2634	167	75	(	(	PUNCT
cana-2634	167	76	h	h	NOUN
cana-2634	167	77	,	,	PUNCT
cana-2634	167	78	w	w	PROPN
cana-2634	167	79	,	,	PUNCT
cana-2634	167	80	n	n	CCONJ
cana-2634	167	81	)	)	PUNCT
cana-2634	167	82	;	;	PUNCT
cana-2634	167	83	12	12	NUM
cana-2634	167	84	modify	modify	VERB
cana-2634	167	85	the	the	DET
cana-2634	167	86	first	first	ADJ
cana-2634	167	87	convolutional	convolutional	ADJ
cana-2634	167	88	layer	layer	NOUN
cana-2634	167	89	to	to	PART
cana-2634	167	90	accommodate	accommodate	VERB
cana-2634	167	91	n	n	DET
cana-2634	167	92	channels	channel	NOUN
cana-2634	167	93	with	with	ADP
cana-2634	167	94	3x3xn	3x3xn	NUM
cana-2634	167	95	filters	filter	NOUN
cana-2634	167	96	;	;	PUNCT
cana-2634	167	97	13	13	NUM
cana-2634	167	98	initialize	initialize	NOUN
cana-2634	167	99	weights	weight	NOUN
cana-2634	167	100	and	and	CCONJ
cana-2634	167	101	learn	learn	VERB
cana-2634	167	102	using	use	VERB
cana-2634	167	103	gradient	gradient	ADJ
cana-2634	167	104	descent	descent	NOUN
cana-2634	167	105	:	:	PUNCT
cana-2634	167	106	14	14	NUM
cana-2634	167	107	for	for	ADP
cana-2634	167	108	each	each	DET
cana-2634	167	109	epoch	epoch	NOUN
cana-2634	167	110	do	do	VERB
cana-2634	167	111	15	15	NUM
cana-2634	167	112	for	for	ADP
cana-2634	167	113	each	each	DET
cana-2634	167	114	batch	batch	NOUN
cana-2634	167	115	do	do	VERB
cana-2634	167	116	16	16	NUM
cana-2634	167	117	compute	compute	VERB
cana-2634	167	118	forward	forward	ADJ
cana-2634	167	119	propagation	propagation	NOUN
cana-2634	167	120	and	and	CCONJ
cana-2634	167	121	loss	loss	NOUN
cana-2634	167	122	:	:	PUNCT
cana-2634	167	123	loss	loss	NOUN
cana-2634	167	124	=	=	SYM
cana-2634	167	125	-∑	-∑	PROPN
cana-2634	167	126	(	(	PUNCT
cana-2634	167	127	y_actual	y_actual	NOUN
cana-2634	167	128	*	*	PUNCT
cana-2634	167	129	log(y_predicted	log(y_predicte	VERB
cana-2634	167	130	)	)	PUNCT
cana-2634	167	131	)	)	PUNCT
cana-2634	167	132	;	;	PUNCT
cana-2634	167	133	17	17	NUM
cana-2634	167	134	perform	perform	VERB
cana-2634	167	135	backward	backward	ADJ
cana-2634	167	136	propagation	propagation	NOUN
cana-2634	167	137	and	and	CCONJ
cana-2634	167	138	update	update	VERB
cana-2634	167	139	weights	weight	NOUN
cana-2634	167	140	:	:	PUNCT
cana-2634	167	141	w_new	w_new	PROPN
cana-2634	167	142	=	=	PUNCT
cana-2634	167	143	w_old	w_old	PROPN
cana-2634	167	144	α	α	X
cana-2634	167	145	*	*	PUNCT
cana-2634	167	146	∇loss	∇los	NOUN
cana-2634	167	147	;	;	PUNCT
cana-2634	167	148	communications	communication	NOUN
cana-2634	167	149	on	on	ADP
cana-2634	167	150	applied	apply	VERB
cana-2634	167	151	nonlinear	nonlinear	ADJ
cana-2634	167	152	analysis	analysis	NOUN
cana-2634	167	153	issn	issn	NOUN
cana-2634	167	154	:	:	PUNCT
cana-2634	167	155	1074	1074	NUM
cana-2634	167	156	-	-	PUNCT
cana-2634	167	157	133x	133x	NUM
cana-2634	167	158	vol	vol	NOUN
cana-2634	167	159	32	32	NUM
cana-2634	167	160	no	no	NOUN
cana-2634	167	161	.	.	PUNCT
cana-2634	168	1	3s	3s	NUM
cana-2634	168	2	(	(	PUNCT
cana-2634	168	3	2025	2025	NUM
cana-2634	168	4	)	)	PUNCT
cana-2634	168	5	241	241	NUM
cana-2634	168	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	168	7	18	18	NUM
cana-2634	168	8	if	if	SCONJ
cana-2634	168	9	loss	loss	NOUN
cana-2634	168	10	<	<	X
cana-2634	168	11	threshold	threshold	NOUN
cana-2634	168	12	then	then	ADV
cana-2634	168	13	break	break	VERB
cana-2634	169	1	;	;	PUNCT
cana-2634	169	2	//	//	PUNCT
cana-2634	169	3	implement	implement	VERB
cana-2634	169	4	early	early	ADJ
cana-2634	169	5	stopping	stop	VERB
cana-2634	169	6	19	19	NUM
cana-2634	169	7	end	end	NOUN
cana-2634	169	8	for	for	ADP
cana-2634	169	9	20	20	NUM
cana-2634	169	10	end	end	NOUN
cana-2634	169	11	for	for	ADP
cana-2634	169	12	21	21	NUM
cana-2634	169	13	//	//	NUM
cana-2634	169	14	model	model	NOUN
cana-2634	169	15	evaluation	evaluation	NOUN
cana-2634	169	16	and	and	CCONJ
cana-2634	169	17	deployment	deployment	NOUN
cana-2634	169	18	22	22	NUM
cana-2634	169	19	evaluate	evaluate	VERB
cana-2634	169	20	model	model	NOUN
cana-2634	169	21	using	use	VERB
cana-2634	169	22	accuracy	accuracy	NOUN
cana-2634	169	23	,	,	PUNCT
cana-2634	169	24	precision	precision	NOUN
cana-2634	169	25	,	,	PUNCT
cana-2634	169	26	recall	recall	NOUN
cana-2634	169	27	,	,	PUNCT
cana-2634	169	28	and	and	CCONJ
cana-2634	169	29	f1	f1	PROPN
cana-2634	169	30	score	score	NOUN
cana-2634	169	31	;	;	PUNCT
cana-2634	169	32	23	23	NUM
cana-2634	169	33	deploy	deploy	VERB
cana-2634	169	34	the	the	DET
cana-2634	169	35	best	good	ADJ
cana-2634	169	36	performing	performing	NOUN
cana-2634	169	37	model	model	NOUN
cana-2634	169	38	for	for	ADP
cana-2634	169	39	real	real	ADJ
cana-2634	169	40	-	-	PUNCT
cana-2634	169	41	time	time	NOUN
cana-2634	169	42	disease	disease	NOUN
cana-2634	169	43	detection	detection	NOUN
cana-2634	169	44	;	;	PUNCT
cana-2634	169	45	24	24	NUM
cana-2634	169	46	implement	implement	VERB
cana-2634	169	47	a	a	DET
cana-2634	169	48	feedback	feedback	NOUN
cana-2634	169	49	loop	loop	NOUN
cana-2634	169	50	for	for	ADP
cana-2634	169	51	ongoing	ongoing	ADJ
cana-2634	169	52	improvement	improvement	NOUN
cana-2634	169	53	based	base	VERB
cana-2634	169	54	on	on	ADP
cana-2634	169	55	new	new	ADJ
cana-2634	169	56	data	datum	NOUN
cana-2634	169	57	;	;	PUNCT
cana-2634	169	58	5	5	X
cana-2634	169	59	.	.	NOUN
cana-2634	169	60	results	result	VERB
cana-2634	169	61	our	our	PRON
cana-2634	169	62	research	research	NOUN
cana-2634	169	63	showed	show	VERB
cana-2634	169	64	that	that	SCONJ
cana-2634	169	65	cnn	cnn	PROPN
cana-2634	169	66	models	model	NOUN
cana-2634	169	67	adapted	adapt	VERB
cana-2634	169	68	to	to	PART
cana-2634	169	69	use	use	VERB
cana-2634	169	70	spectral	spectral	ADJ
cana-2634	169	71	imaging	imaging	NOUN
cana-2634	169	72	significantly	significantly	ADV
cana-2634	169	73	outperformed	outperform	VERB
cana-2634	169	74	their	their	PRON
cana-2634	169	75	rgbbased	rgbbase	VERB
cana-2634	169	76	counterparts[19	counterparts[19	NOUN
cana-2634	169	77	-	-	SYM
cana-2634	169	78	20	20	NUM
cana-2634	169	79	]	]	PUNCT
cana-2634	169	80	in	in	ADP
cana-2634	169	81	early	early	ADJ
cana-2634	169	82	plant	plant	NOUN
cana-2634	169	83	disease	disease	NOUN
cana-2634	169	84	detection	detection	NOUN
cana-2634	169	85	.	.	PUNCT
cana-2634	170	1	among	among	ADP
cana-2634	170	2	the	the	DET
cana-2634	170	3	models	model	NOUN
cana-2634	170	4	tested	test	VERB
cana-2634	170	5	,	,	PUNCT
cana-2634	170	6	efficient	efficient	ADJ
cana-2634	170	7	net	net	NOUN
cana-2634	170	8	and	and	CCONJ
cana-2634	170	9	inception	inception	PROPN
cana-2634	170	10	v6	v6	NOUN
cana-2634	170	11	showed	show	VERB
cana-2634	170	12	the	the	DET
cana-2634	170	13	most	most	ADV
cana-2634	170	14	notable	notable	ADJ
cana-2634	170	15	improvements	improvement	NOUN
cana-2634	170	16	due	due	ADP
cana-2634	170	17	to	to	ADP
cana-2634	170	18	their	their	PRON
cana-2634	170	19	advanced	advanced	ADJ
cana-2634	170	20	architecture	architecture	NOUN
cana-2634	170	21	and	and	CCONJ
cana-2634	170	22	depth	depth	NOUN
cana-2634	170	23	.	.	PUNCT
cana-2634	171	1	the	the	DET
cana-2634	171	2	tables	table	NOUN
cana-2634	171	3	below	below	ADV
cana-2634	171	4	provide	provide	VERB
cana-2634	171	5	a	a	DET
cana-2634	171	6	detailed	detailed	ADJ
cana-2634	171	7	comparison	comparison	NOUN
cana-2634	171	8	of	of	ADP
cana-2634	171	9	accuracy	accuracy	NOUN
cana-2634	171	10	,	,	PUNCT
cana-2634	171	11	precision	precision	NOUN
cana-2634	171	12	,	,	PUNCT
cana-2634	171	13	recall	recall	NOUN
cana-2634	171	14	,	,	PUNCT
cana-2634	171	15	and	and	CCONJ
cana-2634	171	16	f1	f1	NOUN
cana-2634	171	17	-	-	PUNCT
cana-2634	171	18	score	score	NOUN
cana-2634	171	19	for	for	ADP
cana-2634	171	20	each	each	DET
cana-2634	171	21	model	model	NOUN
cana-2634	171	22	before	before	ADV
cana-2634	171	23	and	and	CCONJ
cana-2634	171	24	after	after	ADP
cana-2634	171	25	converting	convert	VERB
cana-2634	171	26	to	to	ADP
cana-2634	171	27	spectral	spectral	ADJ
cana-2634	171	28	images	image	NOUN
cana-2634	171	29	.	.	PUNCT
cana-2634	172	1	table	table	NOUN
cana-2634	172	2	1	1	NUM
cana-2634	172	3	:	:	PUNCT
cana-2634	172	4	model	model	PROPN
cana-2634	172	5	accuracy	accuracy	PROPN
cana-2634	172	6	model	model	PROPN
cana-2634	172	7	rgb	rgb	PROPN
cana-2634	172	8	accuracy	accuracy	NOUN
cana-2634	172	9	(	(	PUNCT
cana-2634	172	10	learn	learn	VERB
cana-2634	172	11	/	/	SYM
cana-2634	172	12	val	val	ADJ
cana-2634	172	13	)	)	PUNCT
cana-2634	172	14	spectral	spectral	ADJ
cana-2634	172	15	accuracy	accuracy	NOUN
cana-2634	172	16	(	(	PUNCT
cana-2634	172	17	learn	learn	VERB
cana-2634	172	18	/	/	SYM
cana-2634	172	19	val	val	ADJ
cana-2634	172	20	)	)	PUNCT
cana-2634	172	21	efficient	efficient	ADJ
cana-2634	172	22	net	net	ADJ
cana-2634	172	23	89.98	89.98	NUM
cana-2634	172	24	%	%	NOUN
cana-2634	172	25	/	/	SYM
cana-2634	172	26	87.39	87.39	NUM
cana-2634	172	27	%	%	NOUN
cana-2634	172	28	99.93	99.93	NUM
cana-2634	172	29	%	%	NOUN
cana-2634	172	30	/	/	SYM
cana-2634	172	31	97.86	97.86	NUM
cana-2634	172	32	%	%	NOUN
cana-2634	172	33	inception	inception	NOUN
cana-2634	172	34	v6	v6	NOUN
cana-2634	172	35	87.99	87.99	NUM
cana-2634	172	36	%	%	NOUN
cana-2634	172	37	/	/	SYM
cana-2634	172	38	83.76	83.76	NUM
cana-2634	172	39	%	%	NOUN
cana-2634	172	40	98.82	98.82	NUM
cana-2634	172	41	%	%	NOUN
cana-2634	172	42	/	/	SYM
cana-2634	172	43	96.23	96.23	NUM
cana-2634	172	44	%	%	NOUN
cana-2634	172	45	resnet-34	resnet-34	PROPN
cana-2634	172	46	87.01	87.01	NUM
cana-2634	172	47	%	%	NOUN
cana-2634	172	48	/	/	SYM
cana-2634	172	49	82.81	82.81	NUM
cana-2634	172	50	%	%	NOUN
cana-2634	172	51	98.59	98.59	NUM
cana-2634	172	52	%	%	NOUN
cana-2634	172	53	/	/	SYM
cana-2634	172	54	96.27	96.27	NUM
cana-2634	172	55	%	%	NOUN
cana-2634	172	56	vgg16	vgg16	NOUN
cana-2634	172	57	84.98	84.98	NUM
cana-2634	172	58	%	%	NOUN
cana-2634	172	59	/	/	SYM
cana-2634	172	60	82.26	82.26	NUM
cana-2634	172	61	%	%	NOUN
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cana-2634	172	69	:	:	PUNCT
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cana-2634	172	76	figure	figure	NOUN
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cana-2634	172	78	:	:	PUNCT
cana-2634	172	79	vgg16	vgg16	NOUN
cana-2634	172	80	spectral	spectral	ADJ
cana-2634	172	81	learning	learning	NOUN
cana-2634	172	82	and	and	CCONJ
cana-2634	172	83	validation	validation	NOUN
cana-2634	172	84	accuracy	accuracy	NOUN
cana-2634	172	85	communications	communication	NOUN
cana-2634	172	86	on	on	ADP
cana-2634	172	87	applied	apply	VERB
cana-2634	172	88	nonlinear	nonlinear	ADJ
cana-2634	172	89	analysis	analysis	NOUN
cana-2634	172	90	issn	issn	NOUN
cana-2634	172	91	:	:	PUNCT
cana-2634	172	92	1074	1074	NUM
cana-2634	172	93	-	-	PUNCT
cana-2634	172	94	133x	133x	NUM
cana-2634	172	95	vol	vol	NOUN
cana-2634	172	96	32	32	NUM
cana-2634	172	97	no	no	NOUN
cana-2634	172	98	.	.	PUNCT
cana-2634	173	1	3s	3s	NUM
cana-2634	173	2	(	(	PUNCT
cana-2634	173	3	2025	2025	NUM
cana-2634	173	4	)	)	PUNCT
cana-2634	173	5	242	242	NUM
cana-2634	173	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	173	7	figure	figure	NOUN
cana-2634	173	8	9	9	NUM
cana-2634	173	9	:	:	PUNCT
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cana-2634	173	11	net	net	ADJ
cana-2634	173	12	rgb	rgb	PROPN
cana-2634	173	13	learning	learning	PROPN
cana-2634	173	14	and	and	CCONJ
cana-2634	173	15	validation	validation	NOUN
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cana-2634	173	17	figure	figure	NOUN
cana-2634	173	18	10	10	NUM
cana-2634	173	19	:	:	PUNCT
cana-2634	173	20	efficientnet	efficientnet	PROPN
cana-2634	173	21	spectral	spectral	ADJ
cana-2634	173	22	learning	learning	NOUN
cana-2634	173	23	and	and	CCONJ
cana-2634	173	24	validation	validation	NOUN
cana-2634	173	25	accuracy	accuracy	NOUN
cana-2634	173	26	figure	figure	NOUN
cana-2634	173	27	11	11	NUM
cana-2634	173	28	:	:	PUNCT
cana-2634	173	29	inception	inception	PROPN
cana-2634	173	30	v6	v6	PROPN
cana-2634	173	31	rgb	rgb	PROPN
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cana-2634	173	33	and	and	CCONJ
cana-2634	173	34	validation	validation	NOUN
cana-2634	173	35	accuracy	accuracy	NOUN
cana-2634	173	36	figure	figure	NOUN
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cana-2634	173	38	:	:	PUNCT
cana-2634	173	39	inception	inception	PROPN
cana-2634	173	40	v6	v6	PROPN
cana-2634	173	41	spectral	spectral	PROPN
cana-2634	173	42	learning	learning	PROPN
cana-2634	173	43	and	and	CCONJ
cana-2634	173	44	validation	validation	NOUN
cana-2634	173	45	accuracy	accuracy	NOUN
cana-2634	173	46	figure	figure	NOUN
cana-2634	173	47	13	13	NUM
cana-2634	173	48	:	:	PUNCT
cana-2634	173	49	resnet-34	resnet-34	PROPN
cana-2634	173	50	rgb	rgb	PROPN
cana-2634	173	51	learning	learning	PROPN
cana-2634	173	52	and	and	CCONJ
cana-2634	173	53	validation	validation	NOUN
cana-2634	173	54	accuracy	accuracy	NOUN
cana-2634	173	55	figure	figure	NOUN
cana-2634	173	56	14	14	NUM
cana-2634	173	57	:	:	PUNCT
cana-2634	173	58	resnet-34	resnet-34	PROPN
cana-2634	173	59	spectral	spectral	ADJ
cana-2634	173	60	learning	learning	NOUN
cana-2634	173	61	and	and	CCONJ
cana-2634	173	62	validation	validation	NOUN
cana-2634	173	63	accuracy	accuracy	NOUN
cana-2634	173	64	table	table	NOUN
cana-2634	173	65	2	2	NUM
cana-2634	173	66	:	:	PUNCT
cana-2634	173	67	model	model	PROPN
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cana-2634	173	69	model	model	PROPN
cana-2634	173	70	rgb	rgb	PROPN
cana-2634	173	71	precision	precision	NOUN
cana-2634	173	72	(	(	PUNCT
cana-2634	173	73	learn	learn	VERB
cana-2634	173	74	/	/	SYM
cana-2634	173	75	val	val	ADJ
cana-2634	173	76	)	)	PUNCT
cana-2634	173	77	spectral	spectral	ADJ
cana-2634	173	78	precision	precision	NOUN
cana-2634	173	79	(	(	PUNCT
cana-2634	173	80	learn	learn	VERB
cana-2634	173	81	/	/	SYM
cana-2634	173	82	val	val	NOUN
cana-2634	173	83	)	)	PUNCT
cana-2634	173	84	efficientnet	efficientnet	NOUN
cana-2634	173	85	87.71	87.71	NUM
cana-2634	173	86	%	%	NOUN
cana-2634	173	87	/	/	SYM
cana-2634	173	88	84.48	84.48	NUM
cana-2634	173	89	%	%	NOUN
cana-2634	173	90	97.26	97.26	NUM
cana-2634	173	91	%	%	NOUN
cana-2634	173	92	/	/	SYM
cana-2634	173	93	95.54	95.54	NUM
cana-2634	173	94	%	%	NOUN
cana-2634	173	95	inception	inception	NOUN
cana-2634	173	96	v6	v6	NOUN
cana-2634	173	97	86.39	86.39	NUM
cana-2634	173	98	%	%	NOUN
cana-2634	173	99	/	/	SYM
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cana-2634	173	101	%	%	NOUN
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cana-2634	173	104	/	/	SYM
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cana-2634	173	106	%	%	NOUN
cana-2634	173	107	resnet-34	resnet-34	PROPN
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cana-2634	173	110	/	/	SYM
cana-2634	173	111	80.46	80.46	NUM
cana-2634	173	112	%	%	NOUN
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cana-2634	173	115	/	/	SYM
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cana-2634	173	117	%	%	NOUN
cana-2634	173	118	vgg16	vgg16	NOUN
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cana-2634	173	123	%	%	NOUN
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cana-2634	173	126	/	/	SYM
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cana-2634	173	128	%	%	NOUN
cana-2634	173	129	figure	figure	NOUN
cana-2634	173	130	15	15	NUM
cana-2634	173	131	:	:	PUNCT
cana-2634	173	132	vgg16	vgg16	PROPN
cana-2634	173	133	rgb	rgb	PROPN
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cana-2634	173	135	and	and	CCONJ
cana-2634	173	136	figure	figure	VERB
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cana-2634	173	138	:	:	PUNCT
cana-2634	173	139	vgg16	vgg16	VERB
cana-2634	173	140	spectral	spectral	ADJ
cana-2634	173	141	learning	learning	NOUN
cana-2634	173	142	and	and	CCONJ
cana-2634	173	143	communications	communication	NOUN
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cana-2634	173	147	analysis	analysis	NOUN
cana-2634	173	148	issn	issn	NOUN
cana-2634	173	149	:	:	PUNCT
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cana-2634	173	151	-	-	PUNCT
cana-2634	173	152	133x	133x	NUM
cana-2634	173	153	vol	vol	NOUN
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cana-2634	173	155	no	no	NOUN
cana-2634	173	156	.	.	PUNCT
cana-2634	174	1	3s	3s	NUM
cana-2634	174	2	(	(	PUNCT
cana-2634	174	3	2025	2025	NUM
cana-2634	174	4	)	)	PUNCT
cana-2634	174	5	243	243	NUM
cana-2634	174	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	174	7	validation	validation	NOUN
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cana-2634	174	9	validation	validation	NOUN
cana-2634	174	10	precision	precision	NOUN
cana-2634	174	11	figure	figure	NOUN
cana-2634	174	12	17	17	NUM
cana-2634	174	13	:	:	PUNCT
cana-2634	174	14	efficientnet	efficientnet	PROPN
cana-2634	174	15	rgb	rgb	PROPN
cana-2634	174	16	learning	learning	PROPN
cana-2634	174	17	and	and	CCONJ
cana-2634	174	18	validation	validation	NOUN
cana-2634	174	19	precision	precision	NOUN
cana-2634	174	20	figure	figure	NOUN
cana-2634	174	21	18	18	NUM
cana-2634	174	22	:	:	PUNCT
cana-2634	174	23	efficientnet	efficientnet	PROPN
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cana-2634	174	25	learning	learning	NOUN
cana-2634	174	26	and	and	CCONJ
cana-2634	174	27	validation	validation	NOUN
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cana-2634	174	29	figure	figure	NOUN
cana-2634	174	30	19	19	NUM
cana-2634	174	31	:	:	PUNCT
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cana-2634	174	36	and	and	CCONJ
cana-2634	174	37	validation	validation	NOUN
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cana-2634	174	39	figure	figure	NOUN
cana-2634	174	40	20	20	NUM
cana-2634	174	41	:	:	PUNCT
cana-2634	174	42	inception	inception	PROPN
cana-2634	174	43	v6	v6	PROPN
cana-2634	174	44	spectral	spectral	PROPN
cana-2634	174	45	learning	learning	PROPN
cana-2634	174	46	and	and	CCONJ
cana-2634	174	47	validation	validation	NOUN
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cana-2634	174	49	figure	figure	NOUN
cana-2634	174	50	21	21	NUM
cana-2634	174	51	:	:	PUNCT
cana-2634	174	52	resnet-34	resnet-34	PROPN
cana-2634	174	53	rgb	rgb	PROPN
cana-2634	174	54	learning	learning	PROPN
cana-2634	174	55	and	and	CCONJ
cana-2634	174	56	validation	validation	NOUN
cana-2634	174	57	precision	precision	NOUN
cana-2634	174	58	figure	figure	NOUN
cana-2634	174	59	22	22	NUM
cana-2634	174	60	:	:	PUNCT
cana-2634	174	61	resnet-34	resnet-34	PROPN
cana-2634	174	62	spectral	spectral	ADJ
cana-2634	174	63	learning	learning	NOUN
cana-2634	174	64	and	and	CCONJ
cana-2634	174	65	validation	validation	NOUN
cana-2634	174	66	precision	precision	NOUN
cana-2634	174	67	table	table	NOUN
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cana-2634	174	69	:	:	PUNCT
cana-2634	174	70	model	model	PROPN
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cana-2634	174	72	model	model	PROPN
cana-2634	174	73	rgb	rgb	PROPN
cana-2634	174	74	recall	recall	PROPN
cana-2634	174	75	(	(	PUNCT
cana-2634	174	76	learn	learn	VERB
cana-2634	174	77	/	/	SYM
cana-2634	174	78	val	val	ADJ
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cana-2634	174	82	(	(	PUNCT
cana-2634	174	83	learn	learn	VERB
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cana-2634	174	85	val	val	ADJ
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cana-2634	174	88	net	net	NOUN
cana-2634	174	89	87.66	87.66	NUM
cana-2634	174	90	%	%	NOUN
cana-2634	174	91	/	/	SYM
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cana-2634	174	93	%	%	NOUN
cana-2634	174	94	97.85	97.85	NUM
cana-2634	174	95	%	%	NOUN
cana-2634	174	96	/	/	SYM
cana-2634	174	97	94.86	94.86	NUM
cana-2634	174	98	%	%	NOUN
cana-2634	174	99	inception	inception	NOUN
cana-2634	174	100	v6	v6	NOUN
cana-2634	174	101	86.82	86.82	NUM
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cana-2634	174	103	/	/	SYM
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cana-2634	174	105	%	%	NOUN
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cana-2634	174	108	/	/	SYM
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cana-2634	174	110	%	%	NOUN
cana-2634	174	111	resnet-34	resnet-34	PROPN
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cana-2634	174	114	/	/	SYM
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cana-2634	174	116	%	%	NOUN
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cana-2634	174	119	/	/	SYM
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cana-2634	174	121	%	%	NOUN
cana-2634	174	122	vgg16	vgg16	VERB
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cana-2634	174	125	/	/	SYM
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cana-2634	174	127	%	%	NOUN
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cana-2634	174	129	%	%	NOUN
cana-2634	174	130	/	/	SYM
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cana-2634	174	132	%	%	NOUN
cana-2634	174	133	communications	communication	NOUN
cana-2634	174	134	on	on	ADP
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cana-2634	174	137	analysis	analysis	NOUN
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cana-2634	174	139	:	:	PUNCT
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cana-2634	174	141	-	-	PUNCT
cana-2634	174	142	133x	133x	NUM
cana-2634	174	143	vol	vol	NOUN
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cana-2634	174	146	.	.	PUNCT
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cana-2634	175	2	(	(	PUNCT
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cana-2634	175	4	)	)	PUNCT
cana-2634	175	5	244	244	NUM
cana-2634	175	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	175	7	figure	figure	NOUN
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cana-2634	175	9	:	:	PUNCT
cana-2634	175	10	vgg16	vgg16	PROPN
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cana-2634	175	13	and	and	CCONJ
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cana-2634	175	16	figure	figure	NOUN
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cana-2634	175	18	:	:	PUNCT
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cana-2634	175	27	:	:	PUNCT
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cana-2634	175	32	validation	validation	NOUN
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cana-2634	175	36	:	:	PUNCT
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cana-2634	175	39	learning	learning	NOUN
cana-2634	175	40	and	and	CCONJ
cana-2634	175	41	validation	validation	NOUN
cana-2634	175	42	recall	recall	NOUN
cana-2634	175	43	figure	figure	NOUN
cana-2634	175	44	27	27	NUM
cana-2634	175	45	:	:	PUNCT
cana-2634	175	46	inception	inception	PROPN
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cana-2634	175	50	and	and	CCONJ
cana-2634	175	51	validation	validation	NOUN
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cana-2634	175	53	figure	figure	NOUN
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cana-2634	175	55	:	:	PUNCT
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cana-2634	175	61	validation	validation	NOUN
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cana-2634	175	65	:	:	PUNCT
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cana-2634	175	70	validation	validation	NOUN
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cana-2634	175	72	figure	figure	NOUN
cana-2634	175	73	30	30	NUM
cana-2634	175	74	:	:	PUNCT
cana-2634	175	75	resnet-34	resnet-34	PROPN
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cana-2634	175	77	learning	learning	NOUN
cana-2634	175	78	and	and	CCONJ
cana-2634	175	79	validation	validation	NOUN
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cana-2634	175	82	on	on	ADP
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cana-2634	175	85	analysis	analysis	NOUN
cana-2634	175	86	issn	issn	NOUN
cana-2634	175	87	:	:	PUNCT
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cana-2634	175	90	133x	133x	NUM
cana-2634	175	91	vol	vol	NOUN
cana-2634	175	92	32	32	NUM
cana-2634	176	1	no	no	NOUN
cana-2634	176	2	.	.	PUNCT
cana-2634	177	1	3s	3s	NUM
cana-2634	177	2	(	(	PUNCT
cana-2634	177	3	2025	2025	NUM
cana-2634	177	4	)	)	PUNCT
cana-2634	177	5	245	245	NUM
cana-2634	177	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	177	7	table	table	NOUN
cana-2634	177	8	4	4	NUM
cana-2634	177	9	:	:	PUNCT
cana-2634	177	10	model	model	NOUN
cana-2634	177	11	f1	f1	ADJ
cana-2634	177	12	-	-	PUNCT
cana-2634	177	13	score	score	NOUN
cana-2634	177	14	model	model	NOUN
cana-2634	177	15	rgb	rgb	PROPN
cana-2634	177	16	f1	f1	PROPN
cana-2634	177	17	-	-	PUNCT
cana-2634	177	18	score	score	NOUN
cana-2634	177	19	(	(	PUNCT
cana-2634	177	20	learn	learn	VERB
cana-2634	177	21	/	/	SYM
cana-2634	177	22	val	val	ADJ
cana-2634	177	23	)	)	PUNCT
cana-2634	177	24	spectral	spectral	ADJ
cana-2634	177	25	f1	f1	NOUN
cana-2634	177	26	-	-	PUNCT
cana-2634	177	27	score	score	NOUN
cana-2634	177	28	(	(	PUNCT
cana-2634	177	29	learn	learn	VERB
cana-2634	177	30	/	/	SYM
cana-2634	177	31	val	val	NOUN
cana-2634	177	32	)	)	PUNCT
cana-2634	177	33	efficientnet	efficientnet	NOUN
cana-2634	177	34	87.69	87.69	NUM
cana-2634	177	35	%	%	NOUN
cana-2634	177	36	/	/	SYM
cana-2634	177	37	85.14	85.14	NUM
cana-2634	177	38	%	%	NOUN
cana-2634	177	39	97.55	97.55	NUM
cana-2634	177	40	%	%	NOUN
cana-2634	177	41	/	/	SYM
cana-2634	177	42	95.20	95.20	NUM
cana-2634	177	43	%	%	NOUN
cana-2634	177	44	inception	inception	NOUN
cana-2634	177	45	v6	v6	NOUN
cana-2634	177	46	86.60	86.60	NUM
cana-2634	177	47	%	%	NOUN
cana-2634	177	48	/	/	SYM
cana-2634	177	49	81.93	81.93	NUM
cana-2634	177	50	%	%	NOUN
cana-2634	177	51	96.81	96.81	NUM
cana-2634	177	52	%	%	NOUN
cana-2634	177	53	/	/	SYM
cana-2634	177	54	94.00	94.00	NUM
cana-2634	177	55	%	%	NOUN
cana-2634	177	56	resnet-34	resnet-34	PROPN
cana-2634	177	57	85.15	85.15	NUM
cana-2634	177	58	%	%	NOUN
cana-2634	177	59	/	/	SYM
cana-2634	177	60	80.15	80.15	NUM
cana-2634	177	61	%	%	NOUN
cana-2634	177	62	96.22	96.22	NUM
cana-2634	177	63	%	%	NOUN
cana-2634	177	64	/	/	SYM
cana-2634	177	65	94.06	94.06	NUM
cana-2634	177	66	%	%	NOUN
cana-2634	177	67	vgg16	vgg16	NOUN
cana-2634	177	68	82.82	82.82	NUM
cana-2634	177	69	%	%	NOUN
cana-2634	177	70	/	/	SYM
cana-2634	177	71	81.15	81.15	NUM
cana-2634	177	72	%	%	NOUN
cana-2634	177	73	93.91	93.91	NUM
cana-2634	177	74	%	%	NOUN
cana-2634	177	75	/	/	SYM
cana-2634	177	76	92.59	92.59	NUM
cana-2634	177	77	%	%	NOUN
cana-2634	177	78	figure	figure	NOUN
cana-2634	177	79	31	31	NUM
cana-2634	177	80	:	:	PUNCT
cana-2634	177	81	vgg16	vgg16	PROPN
cana-2634	177	82	rgb	rgb	PROPN
cana-2634	177	83	learning	learning	PROPN
cana-2634	177	84	and	and	CCONJ
cana-2634	177	85	validation	validation	NOUN
cana-2634	177	86	f1	f1	ADJ
cana-2634	177	87	-	-	PUNCT
cana-2634	177	88	score	score	NOUN
cana-2634	177	89	figure	figure	NOUN
cana-2634	177	90	32	32	NUM
cana-2634	177	91	:	:	PUNCT
cana-2634	177	92	vgg16	vgg16	VERB
cana-2634	177	93	spectral	spectral	ADJ
cana-2634	177	94	learning	learning	NOUN
cana-2634	177	95	and	and	CCONJ
cana-2634	177	96	validation	validation	NOUN
cana-2634	177	97	f1	f1	ADJ
cana-2634	177	98	-	-	PUNCT
cana-2634	177	99	score	score	NOUN
cana-2634	177	100	figure	figure	NOUN
cana-2634	177	101	33	33	NUM
cana-2634	177	102	:	:	PUNCT
cana-2634	177	103	efficientnet	efficientnet	PROPN
cana-2634	177	104	rgb	rgb	PROPN
cana-2634	177	105	learning	learning	PROPN
cana-2634	177	106	and	and	CCONJ
cana-2634	177	107	validation	validation	NOUN
cana-2634	177	108	f1	f1	ADJ
cana-2634	177	109	-	-	PUNCT
cana-2634	177	110	score	score	NOUN
cana-2634	177	111	figure	figure	NOUN
cana-2634	177	112	34	34	NUM
cana-2634	177	113	:	:	PUNCT
cana-2634	177	114	efficientnet	efficientnet	PROPN
cana-2634	177	115	spectral	spectral	ADJ
cana-2634	177	116	learning	learning	NOUN
cana-2634	177	117	and	and	CCONJ
cana-2634	177	118	validation	validation	NOUN
cana-2634	177	119	f1	f1	ADJ
cana-2634	177	120	-	-	PUNCT
cana-2634	177	121	score	score	NOUN
cana-2634	177	122	figure	figure	NOUN
cana-2634	177	123	35	35	NUM
cana-2634	177	124	:	:	PUNCT
cana-2634	177	125	inception	inception	PROPN
cana-2634	177	126	v6	v6	PROPN
cana-2634	177	127	rgb	rgb	PROPN
cana-2634	177	128	learning	learning	PROPN
cana-2634	177	129	and	and	CCONJ
cana-2634	177	130	validation	validation	NOUN
cana-2634	177	131	f1	f1	ADJ
cana-2634	177	132	-	-	PUNCT
cana-2634	177	133	score	score	NOUN
cana-2634	177	134	figure	figure	NOUN
cana-2634	177	135	36	36	NUM
cana-2634	177	136	:	:	PUNCT
cana-2634	177	137	inception	inception	PROPN
cana-2634	177	138	v6	v6	PROPN
cana-2634	177	139	spectral	spectral	PROPN
cana-2634	177	140	learning	learning	PROPN
cana-2634	177	141	and	and	CCONJ
cana-2634	177	142	validation	validation	NOUN
cana-2634	177	143	f1	f1	ADJ
cana-2634	177	144	-	-	PUNCT
cana-2634	177	145	score	score	NOUN
cana-2634	177	146	communications	communication	NOUN
cana-2634	177	147	on	on	ADP
cana-2634	177	148	applied	apply	VERB
cana-2634	177	149	nonlinear	nonlinear	ADJ
cana-2634	177	150	analysis	analysis	NOUN
cana-2634	177	151	issn	issn	NOUN
cana-2634	177	152	:	:	PUNCT
cana-2634	177	153	1074	1074	NUM
cana-2634	177	154	-	-	PUNCT
cana-2634	177	155	133x	133x	NUM
cana-2634	177	156	vol	vol	NOUN
cana-2634	177	157	32	32	NUM
cana-2634	178	1	no	no	NOUN
cana-2634	178	2	.	.	PUNCT
cana-2634	179	1	3s	3s	NUM
cana-2634	179	2	(	(	PUNCT
cana-2634	179	3	2025	2025	NUM
cana-2634	179	4	)	)	PUNCT
cana-2634	179	5	246	246	NUM
cana-2634	180	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	180	2	figure	figure	NOUN
cana-2634	180	3	37	37	NUM
cana-2634	180	4	:	:	PUNCT
cana-2634	180	5	resnet-34	resnet-34	PROPN
cana-2634	180	6	rgb	rgb	PROPN
cana-2634	180	7	learning	learning	PROPN
cana-2634	180	8	and	and	CCONJ
cana-2634	180	9	validation	validation	NOUN
cana-2634	180	10	f1	f1	ADJ
cana-2634	180	11	-	-	PUNCT
cana-2634	180	12	score	score	NOUN
cana-2634	180	13	figure	figure	NOUN
cana-2634	180	14	38	38	NUM
cana-2634	180	15	:	:	PUNCT
cana-2634	180	16	resnet-34	resnet-34	PROPN
cana-2634	180	17	spectral	spectral	ADJ
cana-2634	180	18	learning	learning	NOUN
cana-2634	180	19	and	and	CCONJ
cana-2634	180	20	validation	validation	NOUN
cana-2634	180	21	f1	f1	ADJ
cana-2634	180	22	-	-	PUNCT
cana-2634	180	23	score	score	NOUN
cana-2634	180	24	figure	figure	NOUN
cana-2634	180	25	39	39	NUM
cana-2634	180	26	:	:	PUNCT
cana-2634	180	27	impact	impact	VERB
cana-2634	180	28	analysis	analysis	NOUN
cana-2634	180	29	of	of	ADP
cana-2634	180	30	efficient	efficient	ADJ
cana-2634	180	31	net	net	ADJ
cana-2634	180	32	architecture	architecture	NOUN
cana-2634	180	33	on	on	ADP
cana-2634	180	34	agriculture	agriculture	NOUN
cana-2634	180	35	6	6	NUM
cana-2634	180	36	.	.	PUNCT
cana-2634	180	37	discussion	discussion	NOUN
cana-2634	180	38	combining	combine	VERB
cana-2634	180	39	spectral	spectral	ADJ
cana-2634	180	40	imaging	imaging	NOUN
cana-2634	180	41	with	with	ADP
cana-2634	180	42	cnn	cnn	PROPN
cana-2634	180	43	models	model	NOUN
cana-2634	180	44	has	have	AUX
cana-2634	180	45	been	be	AUX
cana-2634	180	46	shown	show	VERB
cana-2634	180	47	to	to	PART
cana-2634	180	48	improve	improve	VERB
cana-2634	180	49	significantly	significantly	ADV
cana-2634	180	50	the	the	DET
cana-2634	180	51	efficiency	efficiency	NOUN
cana-2634	180	52	of	of	ADP
cana-2634	180	53	detecting	detect	VERB
cana-2634	180	54	diseases	disease	NOUN
cana-2634	180	55	in	in	ADP
cana-2634	180	56	plants	plant	NOUN
cana-2634	180	57	.	.	PUNCT
cana-2634	181	1	this	this	PRON
cana-2634	181	2	is	be	AUX
cana-2634	181	3	again	again	ADV
cana-2634	181	4	very	very	ADV
cana-2634	181	5	clear	clear	ADJ
cana-2634	181	6	from	from	ADP
cana-2634	181	7	improvements	improvement	NOUN
cana-2634	181	8	in	in	ADP
cana-2634	181	9	all	all	DET
cana-2634	181	10	the	the	DET
cana-2634	181	11	metrics	metric	NOUN
cana-2634	181	12	mentioned	mention	VERB
cana-2634	181	13	above	above	ADV
cana-2634	181	14	,	,	PUNCT
cana-2634	181	15	including	include	VERB
cana-2634	181	16	accuracy	accuracy	NOUN
cana-2634	181	17	,	,	PUNCT
cana-2634	181	18	precision	precision	NOUN
cana-2634	181	19	,	,	PUNCT
cana-2634	181	20	recall	recall	NOUN
cana-2634	181	21	,	,	PUNCT
cana-2634	181	22	and	and	CCONJ
cana-2634	181	23	f1-score.of	f1-score.of	PROPN
cana-2634	181	24	the	the	DET
cana-2634	181	25	tested	test	VERB
cana-2634	181	26	models	model	NOUN
cana-2634	181	27	,	,	PUNCT
cana-2634	181	28	efficient	efficient	ADJ
cana-2634	181	29	net	net	NOUN
cana-2634	181	30	and	and	CCONJ
cana-2634	181	31	inception	inception	PROPN
cana-2634	181	32	v6	v6	NOUN
cana-2634	181	33	are	be	AUX
cana-2634	181	34	the	the	DET
cana-2634	181	35	ones	one	NOUN
cana-2634	181	36	that	that	PRON
cana-2634	181	37	achieved	achieve	VERB
cana-2634	181	38	significant	significant	ADJ
cana-2634	181	39	performance	performance	NOUN
cana-2634	181	40	gains	gain	NOUN
cana-2634	181	41	,	,	PUNCT
cana-2634	181	42	likely	likely	ADJ
cana-2634	181	43	due	due	ADP
cana-2634	181	44	to	to	ADP
cana-2634	181	45	their	their	PRON
cana-2634	181	46	more	more	ADV
cana-2634	181	47	sophisticated	sophisticated	ADJ
cana-2634	181	48	and	and	CCONJ
cana-2634	181	49	deeper	deep	ADJ
cana-2634	181	50	architectures	architecture	NOUN
cana-2634	181	51	.	.	PUNCT
cana-2634	182	1	accuracy	accuracy	NOUN
cana-2634	182	2	improvements	improvement	NOUN
cana-2634	182	3	for	for	ADP
cana-2634	182	4	efficient	efficient	ADJ
cana-2634	182	5	net	net	NOUN
cana-2634	182	6	,	,	PUNCT
cana-2634	182	7	the	the	DET
cana-2634	182	8	rgb	rgb	PROPN
cana-2634	182	9	accuracy	accuracy	NOUN
cana-2634	182	10	during	during	ADP
cana-2634	182	11	learning	learning	NOUN
cana-2634	182	12	was	be	AUX
cana-2634	182	13	89.98	89.98	NUM
cana-2634	182	14	%	%	NOUN
cana-2634	182	15	,	,	PUNCT
cana-2634	182	16	and	and	CCONJ
cana-2634	182	17	87.39	87.39	NUM
cana-2634	182	18	%	%	NOUN
cana-2634	182	19	during	during	ADP
cana-2634	182	20	validation	validation	NOUN
cana-2634	182	21	.	.	PUNCT
cana-2634	183	1	the	the	DET
cana-2634	183	2	accuracy	accuracy	NOUN
cana-2634	183	3	increased	increase	VERB
cana-2634	183	4	drastically	drastically	ADV
cana-2634	183	5	to	to	ADP
cana-2634	183	6	99.93	99.93	NUM
cana-2634	183	7	%	%	NOUN
cana-2634	183	8	during	during	ADP
cana-2634	183	9	learning	learning	NOUN
cana-2634	183	10	and	and	CCONJ
cana-2634	183	11	97.86	97.86	NUM
cana-2634	183	12	%	%	NOUN
cana-2634	183	13	during	during	ADP
cana-2634	183	14	validation	validation	NOUN
cana-2634	183	15	with	with	ADP
cana-2634	183	16	spectral	spectral	ADJ
cana-2634	183	17	imaging	imaging	NOUN
cana-2634	183	18	.	.	PUNCT
cana-2634	184	1	similarly	similarly	ADV
cana-2634	184	2	,	,	PUNCT
cana-2634	184	3	for	for	ADP
cana-2634	184	4	inception	inception	PROPN
cana-2634	184	5	v6	v6	PROPN
cana-2634	184	6	,	,	PUNCT
cana-2634	184	7	the	the	DET
cana-2634	184	8	model	model	NOUN
cana-2634	184	9	showed	show	VERB
cana-2634	184	10	an	an	DET
cana-2634	184	11	accuracy	accuracy	NOUN
cana-2634	184	12	of	of	ADP
cana-2634	184	13	87.99	87.99	NUM
cana-2634	184	14	%	%	NOUN
cana-2634	184	15	for	for	ADP
cana-2634	184	16	rgb	rgb	PROPN
cana-2634	184	17	during	during	ADP
cana-2634	184	18	learning	learning	NOUN
cana-2634	184	19	and	and	CCONJ
cana-2634	184	20	83.76	83.76	NUM
cana-2634	184	21	%	%	NOUN
cana-2634	184	22	during	during	ADP
cana-2634	184	23	validation	validation	NOUN
cana-2634	184	24	,	,	PUNCT
cana-2634	184	25	against	against	ADP
cana-2634	184	26	98.82	98.82	NUM
cana-2634	184	27	%	%	NOUN
cana-2634	184	28	during	during	ADP
cana-2634	184	29	learning	learning	NOUN
cana-2634	184	30	and	and	CCONJ
cana-2634	184	31	96.23	96.23	NUM
cana-2634	184	32	%	%	NOUN
cana-2634	184	33	during	during	ADP
cana-2634	184	34	validation	validation	NOUN
cana-2634	184	35	for	for	ADP
cana-2634	184	36	spectral	spectral	ADJ
cana-2634	184	37	data	datum	NOUN
cana-2634	184	38	.	.	PUNCT
cana-2634	185	1	these	these	DET
cana-2634	185	2	gains	gain	NOUN
cana-2634	185	3	are	be	AUX
cana-2634	185	4	illustrated	illustrate	VERB
cana-2634	185	5	in	in	ADP
cana-2634	185	6	graphical	graphical	ADJ
cana-2634	185	7	form	form	NOUN
cana-2634	185	8	in	in	ADP
cana-2634	185	9	figures	figure	NOUN
cana-2634	185	10	9	9	NUM
cana-2634	185	11	and	and	CCONJ
cana-2634	185	12	10	10	NUM
cana-2634	185	13	for	for	ADP
cana-2634	185	14	efficient	efficient	ADJ
cana-2634	185	15	net	net	NOUN
cana-2634	185	16	and	and	CCONJ
cana-2634	185	17	in	in	ADP
cana-2634	185	18	figures	figure	NOUN
cana-2634	185	19	11	11	NUM
cana-2634	185	20	and	and	CCONJ
cana-2634	185	21	12	12	NUM
cana-2634	185	22	for	for	ADP
cana-2634	185	23	inception	inception	PROPN
cana-2634	185	24	v6	v6	PROPN
cana-2634	185	25	,	,	PUNCT
cana-2634	185	26	respectively	respectively	ADV
cana-2634	185	27	,	,	PUNCT
cana-2634	185	28	which	which	PRON
cana-2634	185	29	feature	feature	VERB
cana-2634	185	30	the	the	DET
cana-2634	185	31	remarkable	remarkable	ADJ
cana-2634	185	32	gains	gain	NOUN
cana-2634	185	33	that	that	SCONJ
cana-2634	185	34	this	this	DET
cana-2634	185	35	approach	approach	NOUN
cana-2634	185	36	led	lead	VERB
cana-2634	185	37	to	to	ADP
cana-2634	185	38	regarding	regard	VERB
cana-2634	185	39	accuracy	accuracy	NOUN
cana-2634	185	40	.	.	PUNCT
cana-2634	186	1	precision	precision	NOUN
cana-2634	186	2	enhancements	enhancement	NOUN
cana-2634	186	3	table	table	NOUN
cana-2634	186	4	2	2	NUM
cana-2634	186	5	summarizes	summarize	NOUN
cana-2634	186	6	the	the	DET
cana-2634	186	7	gains	gain	NOUN
cana-2634	186	8	in	in	ADP
cana-2634	186	9	precision	precision	NOUN
cana-2634	186	10	.	.	PUNCT
cana-2634	187	1	for	for	ADP
cana-2634	187	2	efficient	efficient	ADJ
cana-2634	187	3	net	net	NOUN
cana-2634	187	4	,	,	PUNCT
cana-2634	187	5	it	it	PRON
cana-2634	187	6	rose	rise	VERB
cana-2634	187	7	from	from	ADP
cana-2634	187	8	87.71	87.71	NUM
cana-2634	187	9	%	%	NOUN
cana-2634	187	10	for	for	ADP
cana-2634	187	11	learning	learning	NOUN
cana-2634	187	12	and	and	CCONJ
cana-2634	187	13	84.48	84.48	NUM
cana-2634	187	14	%	%	NOUN
cana-2634	187	15	for	for	ADP
cana-2634	187	16	validation	validation	NOUN
cana-2634	187	17	with	with	ADP
cana-2634	187	18	rgb	rgb	PROPN
cana-2634	187	19	data	datum	NOUN
cana-2634	187	20	to	to	ADP
cana-2634	187	21	97.26	97.26	NUM
cana-2634	187	22	%	%	NOUN
cana-2634	187	23	for	for	ADP
cana-2634	187	24	learning	learning	NOUN
cana-2634	187	25	and	and	CCONJ
cana-2634	187	26	95.54	95.54	NUM
cana-2634	187	27	%	%	NOUN
cana-2634	187	28	for	for	ADP
cana-2634	187	29	validation	validation	NOUN
cana-2634	187	30	with	with	ADP
cana-2634	187	31	spectral	spectral	ADJ
cana-2634	187	32	data	datum	NOUN
cana-2634	187	33	.	.	PUNCT
cana-2634	188	1	results	result	VERB
cana-2634	188	2	efficient	efficient	ADJ
cana-2634	188	3	net	net	NOUN
cana-2634	188	4	had	have	AUX
cana-2634	188	5	increased	increase	VERB
cana-2634	188	6	in	in	ADP
cana-2634	188	7	accuracy	accuracy	NOUN
cana-2634	188	8	from	from	ADP
cana-2634	188	9	86.39	86.39	NUM
cana-2634	188	10	%	%	NOUN
cana-2634	188	11	for	for	ADP
cana-2634	188	12	learning	learning	NOUN
cana-2634	188	13	and	and	CCONJ
cana-2634	188	14	81.82	81.82	NUM
cana-2634	188	15	%	%	NOUN
cana-2634	188	16	for	for	ADP
cana-2634	188	17	validation	validation	NOUN
cana-2634	188	18	with	with	ADP
cana-2634	188	19	rgb	rgb	PROPN
cana-2634	188	20	to	to	ADP
cana-2634	188	21	96.85	96.85	NUM
cana-2634	188	22	%	%	NOUN
cana-2634	188	23	for	for	ADP
cana-2634	188	24	learning	learning	NOUN
cana-2634	188	25	and	and	CCONJ
cana-2634	188	26	93.40	93.40	NUM
cana-2634	188	27	%	%	NOUN
cana-2634	188	28	for	for	ADP
cana-2634	188	29	validation	validation	NOUN
cana-2634	188	30	with	with	ADP
cana-2634	188	31	spectral	spectral	ADJ
cana-2634	188	32	data	datum	NOUN
cana-2634	188	33	.	.	PUNCT
cana-2634	189	1	these	these	DET
cana-2634	189	2	improvements	improvement	NOUN
cana-2634	189	3	are	be	AUX
cana-2634	189	4	represented	represent	VERB
cana-2634	189	5	in	in	ADP
cana-2634	189	6	figures	figure	NOUN
cana-2634	189	7	17	17	NUM
cana-2634	189	8	and	and	CCONJ
cana-2634	189	9	18	18	NUM
cana-2634	189	10	for	for	ADP
cana-2634	189	11	efficient	efficient	ADJ
cana-2634	189	12	net	net	NOUN
cana-2634	189	13	and	and	CCONJ
cana-2634	189	14	figures	figure	NOUN
cana-2634	189	15	19	19	NUM
cana-2634	189	16	and	and	CCONJ
cana-2634	189	17	20	20	NUM
cana-2634	189	18	for	for	ADP
cana-2634	189	19	inception	inception	PROPN
cana-2634	189	20	v6	v6	PROPN
cana-2634	189	21	.	.	PUNCT
cana-2634	190	1	recall	recall	PROPN
cana-2634	190	2	enhancements	enhancements	PROPN
cana-2634	190	3	table	table	NOUN
cana-2634	190	4	3	3	NUM
cana-2634	190	5	highlights	highlight	NOUN
cana-2634	190	6	the	the	DET
cana-2634	190	7	recall	recall	NOUN
cana-2634	190	8	improvements	improvement	NOUN
cana-2634	190	9	.	.	PUNCT
cana-2634	191	1	recall	recall	VERB
cana-2634	191	2	from	from	ADP
cana-2634	191	3	87.66	87.66	NUM
cana-2634	191	4	%	%	NOUN
cana-2634	191	5	for	for	ADP
cana-2634	191	6	learn	learn	NOUN
cana-2634	191	7	and	and	CCONJ
cana-2634	191	8	85.81	85.81	NUM
cana-2634	191	9	%	%	NOUN
cana-2634	191	10	for	for	ADP
cana-2634	191	11	validation	validation	NOUN
cana-2634	191	12	with	with	ADP
cana-2634	191	13	rgb	rgb	PROPN
cana-2634	191	14	to	to	ADP
cana-2634	191	15	97.85	97.85	NUM
cana-2634	191	16	%	%	NOUN
cana-2634	191	17	for	for	ADP
cana-2634	191	18	learn	learn	NOUN
cana-2634	191	19	and	and	CCONJ
cana-2634	191	20	94.86	94.86	NUM
cana-2634	191	21	%	%	NOUN
cana-2634	191	22	for	for	ADP
cana-2634	191	23	validation	validation	NOUN
cana-2634	191	24	with	with	ADP
cana-2634	191	25	spectral	spectral	ADJ
cana-2634	191	26	imaging	imaging	NOUN
cana-2634	191	27	for	for	ADP
cana-2634	191	28	efficient	efficient	ADJ
cana-2634	191	29	net	net	NOUN
cana-2634	191	30	.	.	PUNCT
cana-2634	192	1	inception	inception	PROPN
cana-2634	192	2	v6	v6	PROPN
cana-2634	192	3	recalled	recall	VERB
cana-2634	192	4	from	from	ADP
cana-2634	192	5	communications	communication	NOUN
cana-2634	192	6	on	on	ADP
cana-2634	192	7	applied	apply	VERB
cana-2634	192	8	nonlinear	nonlinear	ADJ
cana-2634	192	9	analysis	analysis	NOUN
cana-2634	192	10	issn	issn	NOUN
cana-2634	192	11	:	:	PUNCT
cana-2634	192	12	1074	1074	NUM
cana-2634	192	13	-	-	PUNCT
cana-2634	192	14	133x	133x	NUM
cana-2634	192	15	vol	vol	NOUN
cana-2634	192	16	32	32	NUM
cana-2634	192	17	no	no	NOUN
cana-2634	192	18	.	.	PUNCT
cana-2634	193	1	3s	3s	NUM
cana-2634	193	2	(	(	PUNCT
cana-2634	193	3	2025	2025	NUM
cana-2634	193	4	)	)	PUNCT
cana-2634	193	5	247	247	NUM
cana-2634	193	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	193	7	86.82	86.82	NUM
cana-2634	193	8	%	%	NOUN
cana-2634	193	9	for	for	ADP
cana-2634	193	10	learn	learn	NOUN
cana-2634	193	11	and	and	CCONJ
cana-2634	193	12	82.05	82.05	NUM
cana-2634	193	13	%	%	NOUN
cana-2634	193	14	for	for	ADP
cana-2634	193	15	validation	validation	NOUN
cana-2634	193	16	with	with	ADP
cana-2634	193	17	rgb	rgb	PROPN
cana-2634	193	18	to	to	ADP
cana-2634	193	19	96.77	96.77	NUM
cana-2634	193	20	%	%	NOUN
cana-2634	193	21	for	for	ADP
cana-2634	193	22	learn	learn	NOUN
cana-2634	193	23	and	and	CCONJ
cana-2634	193	24	94.00	94.00	NUM
cana-2634	193	25	%	%	NOUN
cana-2634	193	26	for	for	ADP
cana-2634	193	27	validation	validation	NOUN
cana-2634	193	28	with	with	ADP
cana-2634	193	29	spectral	spectral	ADJ
cana-2634	193	30	data	datum	NOUN
cana-2634	193	31	.	.	PUNCT
cana-2634	194	1	these	these	DET
cana-2634	194	2	improvements	improvement	NOUN
cana-2634	194	3	are	be	AUX
cana-2634	194	4	visualized	visualize	VERB
cana-2634	194	5	in	in	ADP
cana-2634	194	6	figures	figure	NOUN
cana-2634	194	7	25	25	NUM
cana-2634	194	8	and	and	CCONJ
cana-2634	194	9	26	26	NUM
cana-2634	194	10	for	for	ADP
cana-2634	194	11	efficient	efficient	ADJ
cana-2634	194	12	net	net	NOUN
cana-2634	194	13	and	and	CCONJ
cana-2634	194	14	figures	figure	NOUN
cana-2634	194	15	27	27	NUM
cana-2634	194	16	and	and	CCONJ
cana-2634	194	17	28	28	NUM
cana-2634	194	18	for	for	ADP
cana-2634	194	19	inception	inception	PROPN
cana-2634	194	20	v6	v6	PROPN
cana-2634	194	21	.	.	PUNCT
cana-2634	195	1	f1	f1	ADJ
cana-2634	195	2	-	-	PUNCT
cana-2634	195	3	score	score	NOUN
cana-2634	195	4	enhancements	enhancement	NOUN
cana-2634	195	5	it	it	PRON
cana-2634	195	6	can	can	AUX
cana-2634	195	7	be	be	AUX
cana-2634	195	8	seen	see	VERB
cana-2634	195	9	that	that	SCONJ
cana-2634	195	10	the	the	DET
cana-2634	195	11	f1	f1	NOUN
cana-2634	195	12	-	-	PUNCT
cana-2634	195	13	score	score	NOUN
cana-2634	195	14	,	,	PUNCT
cana-2634	195	15	being	be	AUX
cana-2634	195	16	a	a	DET
cana-2634	195	17	harmonic	harmonic	ADJ
cana-2634	195	18	mean	mean	NOUN
cana-2634	195	19	of	of	ADP
cana-2634	195	20	precision	precision	NOUN
cana-2634	195	21	and	and	CCONJ
cana-2634	195	22	recall	recall	NOUN
cana-2634	195	23	,	,	PUNCT
cana-2634	195	24	also	also	ADV
cana-2634	195	25	improved	improve	VERB
cana-2634	195	26	by	by	ADP
cana-2634	195	27	far	far	ADV
cana-2634	195	28	.	.	PUNCT
cana-2634	196	1	the	the	DET
cana-2634	196	2	f1score	f1score	NOUN
cana-2634	196	3	for	for	ADP
cana-2634	196	4	learning	learn	VERB
cana-2634	196	5	in	in	ADP
cana-2634	196	6	the	the	DET
cana-2634	196	7	efficient	efficient	ADJ
cana-2634	196	8	net	net	NOUN
cana-2634	196	9	was	be	AUX
cana-2634	196	10	87.69	87.69	NUM
cana-2634	196	11	%	%	NOUN
cana-2634	196	12	,	,	PUNCT
cana-2634	196	13	with	with	ADP
cana-2634	196	14	rgb	rgb	PROPN
cana-2634	196	15	data	datum	NOUN
cana-2634	196	16	and	and	CCONJ
cana-2634	196	17	85.14	85.14	NUM
cana-2634	196	18	%	%	NOUN
cana-2634	196	19	for	for	ADP
cana-2634	196	20	validation	validation	NOUN
cana-2634	196	21	;	;	PUNCT
cana-2634	196	22	for	for	ADP
cana-2634	196	23	spectral	spectral	ADJ
cana-2634	196	24	data	datum	NOUN
cana-2634	196	25	,	,	PUNCT
cana-2634	196	26	the	the	DET
cana-2634	196	27	learning	learn	VERB
cana-2634	196	28	f1	f1	NOUN
cana-2634	196	29	-	-	PUNCT
cana-2634	196	30	score	score	NOUN
cana-2634	196	31	was	be	AUX
cana-2634	196	32	improved	improve	VERB
cana-2634	196	33	to	to	ADP
cana-2634	196	34	97.55	97.55	NUM
cana-2634	196	35	%	%	NOUN
cana-2634	196	36	and	and	CCONJ
cana-2634	196	37	95.20	95.20	NUM
cana-2634	196	38	%	%	NOUN
cana-2634	196	39	for	for	ADP
cana-2634	196	40	the	the	DET
cana-2634	196	41	validation	validation	NOUN
cana-2634	196	42	.	.	PUNCT
cana-2634	197	1	the	the	DET
cana-2634	197	2	inception	inception	PROPN
cana-2634	197	3	v6	v6	PROPN
cana-2634	197	4	model	model	NOUN
cana-2634	197	5	improved	improve	VERB
cana-2634	197	6	the	the	DET
cana-2634	197	7	f1	f1	NOUN
cana-2634	197	8	-	-	PUNCT
cana-2634	197	9	score	score	NOUN
cana-2634	197	10	,	,	PUNCT
cana-2634	197	11	which	which	PRON
cana-2634	197	12	improved	improve	VERB
cana-2634	197	13	to	to	ADP
cana-2634	197	14	96.81	96.81	NUM
cana-2634	197	15	%	%	NOUN
cana-2634	197	16	for	for	ADP
cana-2634	197	17	learning	learning	NOUN
cana-2634	197	18	and	and	CCONJ
cana-2634	197	19	94.00	94.00	NUM
cana-2634	197	20	%	%	NOUN
cana-2634	197	21	for	for	ADP
cana-2634	197	22	validation	validation	NOUN
cana-2634	197	23	from	from	ADP
cana-2634	197	24	86.60	86.60	NUM
cana-2634	197	25	%	%	NOUN
cana-2634	197	26	learning	learning	NOUN
cana-2634	197	27	and	and	CCONJ
cana-2634	197	28	81.93	81.93	NUM
cana-2634	197	29	%	%	NOUN
cana-2634	197	30	validation	validation	NOUN
cana-2634	197	31	with	with	ADP
cana-2634	197	32	rgb	rgb	PROPN
cana-2634	197	33	data	data	PROPN
cana-2634	197	34	.	.	PUNCT
cana-2634	198	1	these	these	DET
cana-2634	198	2	improvements	improvement	NOUN
cana-2634	198	3	are	be	AUX
cana-2634	198	4	shown	show	VERB
cana-2634	198	5	in	in	ADP
cana-2634	198	6	figures	figure	NOUN
cana-2634	198	7	33	33	NUM
cana-2634	198	8	and	and	CCONJ
cana-2634	198	9	34	34	NUM
cana-2634	198	10	for	for	ADP
cana-2634	198	11	efficient	efficient	ADJ
cana-2634	198	12	net	net	NOUN
cana-2634	198	13	and	and	CCONJ
cana-2634	198	14	figures	figure	NOUN
cana-2634	198	15	35	35	NUM
cana-2634	198	16	and	and	CCONJ
cana-2634	198	17	36	36	NUM
cana-2634	198	18	for	for	ADP
cana-2634	198	19	inception	inception	PROPN
cana-2634	198	20	v6	v6	PROPN
cana-2634	198	21	.	.	PUNCT
cana-2634	199	1	general	general	ADJ
cana-2634	199	2	analysis	analysis	NOUN
cana-2634	199	3	overall	overall	ADJ
cana-2634	199	4	,	,	PUNCT
cana-2634	199	5	spectral	spectral	ADJ
cana-2634	199	6	imaging	imaging	NOUN
cana-2634	199	7	has	have	AUX
cana-2634	199	8	advanced	advance	VERB
cana-2634	199	9	cnn	cnn	PROPN
cana-2634	199	10	model	model	NOUN
cana-2634	199	11	-	-	PUNCT
cana-2634	199	12	based	base	VERB
cana-2634	199	13	diagnostics	diagnostic	NOUN
cana-2634	199	14	for	for	ADP
cana-2634	199	15	plant	plant	NOUN
cana-2634	199	16	disease	disease	NOUN
cana-2634	199	17	detection	detection	NOUN
cana-2634	199	18	.	.	PUNCT
cana-2634	200	1	effectiveness	effectiveness	NOUN
cana-2634	200	2	concerning	concern	VERB
cana-2634	200	3	the	the	DET
cana-2634	200	4	spectral	spectral	ADJ
cana-2634	200	5	imaging	imaging	NOUN
cana-2634	200	6	technique	technique	NOUN
cana-2634	200	7	with	with	ADP
cana-2634	200	8	these	these	DET
cana-2634	200	9	models	model	NOUN
cana-2634	200	10	is	be	AUX
cana-2634	200	11	also	also	ADV
cana-2634	200	12	shown	show	VERB
cana-2634	200	13	using	use	VERB
cana-2634	200	14	performance	performance	NOUN
cana-2634	200	15	metrics	metric	NOUN
cana-2634	200	16	of	of	ADP
cana-2634	200	17	accuracy	accuracy	NOUN
cana-2634	200	18	,	,	PUNCT
cana-2634	200	19	precision	precision	NOUN
cana-2634	200	20	,	,	PUNCT
cana-2634	200	21	recall	recall	NOUN
cana-2634	200	22	,	,	PUNCT
cana-2634	200	23	and	and	CCONJ
cana-2634	200	24	f1	f1	NOUN
cana-2634	200	25	-	-	PUNCT
cana-2634	200	26	score	score	NOUN
cana-2634	200	27	.	.	PUNCT
cana-2634	201	1	the	the	DET
cana-2634	201	2	method	method	NOUN
cana-2634	201	3	enhances	enhance	VERB
cana-2634	201	4	the	the	DET
cana-2634	201	5	accuracy	accuracy	NOUN
cana-2634	201	6	and	and	CCONJ
cana-2634	201	7	early	early	ADJ
cana-2634	201	8	detection	detection	NOUN
cana-2634	201	9	capabilities	capability	NOUN
cana-2634	201	10	of	of	ADP
cana-2634	201	11	the	the	DET
cana-2634	201	12	system	system	NOUN
cana-2634	201	13	;	;	PUNCT
cana-2634	201	14	hence	hence	ADV
cana-2634	201	15	,	,	PUNCT
cana-2634	201	16	it	it	PRON
cana-2634	201	17	is	be	AUX
cana-2634	201	18	appropriate	appropriate	ADJ
cana-2634	201	19	for	for	ADP
cana-2634	201	20	real	real	ADJ
cana-2634	201	21	-	-	PUNCT
cana-2634	201	22	time	time	NOUN
cana-2634	201	23	agricultural	agricultural	ADJ
cana-2634	201	24	diagnostics	diagnostic	NOUN
cana-2634	201	25	.	.	PUNCT
cana-2634	202	1	early	early	ADJ
cana-2634	202	2	detection	detection	NOUN
cana-2634	202	3	means	mean	VERB
cana-2634	202	4	timely	timely	ADJ
cana-2634	202	5	and	and	CCONJ
cana-2634	202	6	precise	precise	ADJ
cana-2634	202	7	interventions	intervention	NOUN
cana-2634	202	8	,	,	PUNCT
cana-2634	202	9	possibly	possibly	ADV
cana-2634	202	10	reducing	reduce	VERB
cana-2634	202	11	pesticide	pesticide	NOUN
cana-2634	202	12	exposure	exposure	NOUN
cana-2634	202	13	.	.	PUNCT
cana-2634	203	1	this	this	DET
cana-2634	203	2	focused	focus	VERB
cana-2634	203	3	approach	approach	NOUN
cana-2634	203	4	will	will	AUX
cana-2634	203	5	result	result	VERB
cana-2634	203	6	in	in	ADP
cana-2634	203	7	severe	severe	ADJ
cana-2634	203	8	pesticide	pesticide	NOUN
cana-2634	203	9	reduction	reduction	NOUN
cana-2634	203	10	,	,	PUNCT
cana-2634	203	11	along	along	ADP
cana-2634	203	12	with	with	ADP
cana-2634	203	13	negligible	negligible	ADJ
cana-2634	203	14	implications	implication	NOUN
cana-2634	203	15	on	on	ADP
cana-2634	203	16	the	the	DET
cana-2634	203	17	environment	environment	NOUN
cana-2634	203	18	and	and	CCONJ
cana-2634	203	19	health	health	NOUN
cana-2634	203	20	.	.	PUNCT
cana-2634	204	1	impact	impact	NOUN
cana-2634	204	2	on	on	ADP
cana-2634	204	3	agricultural	agricultural	ADJ
cana-2634	204	4	practices	practice	NOUN
cana-2634	204	5	figure	figure	VERB
cana-2634	204	6	39	39	NUM
cana-2634	204	7	shows	show	VERB
cana-2634	204	8	the	the	DET
cana-2634	204	9	overall	overall	ADJ
cana-2634	204	10	effect	effect	NOUN
cana-2634	204	11	of	of	ADP
cana-2634	204	12	using	use	VERB
cana-2634	204	13	efficientnet	efficientnet	NOUN
cana-2634	204	14	with	with	ADP
cana-2634	204	15	spectral	spectral	ADJ
cana-2634	204	16	imaging	imaging	NOUN
cana-2634	204	17	on	on	ADP
cana-2634	204	18	agriculture	agriculture	NOUN
cana-2634	204	19	:	:	PUNCT
cana-2634	204	20	an	an	DET
cana-2634	204	21	increase	increase	NOUN
cana-2634	204	22	in	in	ADP
cana-2634	204	23	the	the	DET
cana-2634	204	24	accuracy	accuracy	NOUN
cana-2634	204	25	of	of	ADP
cana-2634	204	26	early	early	ADJ
cana-2634	204	27	detection	detection	NOUN
cana-2634	204	28	,	,	PUNCT
cana-2634	204	29	an	an	DET
cana-2634	204	30	increase	increase	NOUN
cana-2634	204	31	in	in	ADP
cana-2634	204	32	crop	crop	NOUN
cana-2634	204	33	yield	yield	NOUN
cana-2634	204	34	,	,	PUNCT
cana-2634	204	35	and	and	CCONJ
cana-2634	204	36	a	a	DET
cana-2634	204	37	decrease	decrease	NOUN
cana-2634	204	38	in	in	ADP
cana-2634	204	39	pesticide	pesticide	NOUN
cana-2634	204	40	.	.	PUNCT
cana-2634	205	1	the	the	DET
cana-2634	205	2	increased	increased	ADJ
cana-2634	205	3	early	early	ADJ
cana-2634	205	4	detections	detection	NOUN
cana-2634	205	5	help	help	VERB
cana-2634	205	6	to	to	PART
cana-2634	205	7	intervene	intervene	VERB
cana-2634	205	8	at	at	ADP
cana-2634	205	9	the	the	DET
cana-2634	205	10	right	right	ADJ
cana-2634	205	11	time	time	NOUN
cana-2634	205	12	with	with	ADP
cana-2634	205	13	potential	potential	ADJ
cana-2634	205	14	increases	increase	NOUN
cana-2634	205	15	in	in	ADP
cana-2634	205	16	crop	crop	NOUN
cana-2634	205	17	yields	yield	NOUN
cana-2634	205	18	and	and	CCONJ
cana-2634	205	19	reductions	reduction	NOUN
cana-2634	205	20	in	in	ADP
cana-2634	205	21	the	the	DET
cana-2634	205	22	application	application	NOUN
cana-2634	205	23	of	of	ADP
cana-2634	205	24	chemicals	chemical	NOUN
cana-2634	205	25	.	.	PUNCT
cana-2634	206	1	spectral	spectral	ADJ
cana-2634	206	2	imaging	imaging	NOUN
cana-2634	206	3	,	,	PUNCT
cana-2634	206	4	integrated	integrate	VERB
cana-2634	206	5	with	with	ADP
cana-2634	206	6	cnn	cnn	PROPN
cana-2634	206	7	-	-	PUNCT
cana-2634	206	8	based	base	VERB
cana-2634	206	9	models	model	NOUN
cana-2634	206	10	,	,	PUNCT
cana-2634	206	11	has	have	AUX
cana-2634	206	12	set	set	VERB
cana-2634	206	13	the	the	DET
cana-2634	206	14	next	next	ADJ
cana-2634	206	15	level	level	NOUN
cana-2634	206	16	of	of	ADP
cana-2634	206	17	advancement	advancement	NOUN
cana-2634	206	18	in	in	ADP
cana-2634	206	19	plant	plant	NOUN
cana-2634	206	20	disease	disease	NOUN
cana-2634	206	21	detection	detection	NOUN
cana-2634	206	22	.	.	PUNCT
cana-2634	207	1	improved	improve	VERB
cana-2634	207	2	performance	performance	NOUN
cana-2634	207	3	metrics	metric	NOUN
cana-2634	207	4	underline	underline	VERB
cana-2634	207	5	this	this	DET
cana-2634	207	6	potential	potential	NOUN
cana-2634	207	7	as	as	ADP
cana-2634	207	8	a	a	DET
cana-2634	207	9	giant	giant	ADJ
cana-2634	207	10	leap	leap	NOUN
cana-2634	207	11	,	,	PUNCT
cana-2634	207	12	particularly	particularly	ADV
cana-2634	207	13	for	for	ADP
cana-2634	207	14	real	real	ADJ
cana-2634	207	15	-	-	PUNCT
cana-2634	207	16	time	time	NOUN
cana-2634	207	17	agricultural	agricultural	ADJ
cana-2634	207	18	diagnostic	diagnostic	ADJ
cana-2634	207	19	systems	system	NOUN
cana-2634	207	20	.	.	PUNCT
cana-2634	208	1	hence	hence	ADV
cana-2634	208	2	,	,	PUNCT
cana-2634	208	3	spectral	spectral	ADJ
cana-2634	208	4	imaging	imaging	NOUN
cana-2634	208	5	should	should	AUX
cana-2634	208	6	be	be	AUX
cana-2634	208	7	utilized	utilize	VERB
cana-2634	208	8	in	in	ADP
cana-2634	208	9	future	future	ADJ
cana-2634	208	10	research	research	NOUN
cana-2634	208	11	to	to	PART
cana-2634	208	12	develop	develop	VERB
cana-2634	208	13	better	well	ADJ
cana-2634	208	14	models	model	NOUN
cana-2634	208	15	and	and	CCONJ
cana-2634	208	16	for	for	ADP
cana-2634	208	17	its	its	PRON
cana-2634	208	18	broader	broad	ADJ
cana-2634	208	19	application	application	NOUN
cana-2634	208	20	in	in	ADP
cana-2634	208	21	agriculture	agriculture	NOUN
cana-2634	208	22	.	.	PUNCT
cana-2634	209	1	it	it	PRON
cana-2634	209	2	will	will	AUX
cana-2634	209	3	definitely	definitely	ADV
cana-2634	209	4	be	be	AUX
cana-2634	209	5	carried	carry	VERB
cana-2634	209	6	out	out	ADP
cana-2634	209	7	in	in	ADP
cana-2634	209	8	other	other	ADJ
cana-2634	209	9	crops	crop	NOUN
cana-2634	209	10	and	and	CCONJ
cana-2634	209	11	diseases	disease	NOUN
cana-2634	209	12	to	to	PART
cana-2634	209	13	understand	understand	VERB
cana-2634	209	14	the	the	DET
cana-2634	209	15	benefits	benefit	NOUN
cana-2634	209	16	and	and	CCONJ
cana-2634	209	17	potential	potential	NOUN
cana-2634	209	18	of	of	ADP
cana-2634	209	19	spectral	spectral	ADJ
cana-2634	209	20	imaging	imaging	NOUN
cana-2634	209	21	for	for	ADP
cana-2634	209	22	other	other	ADJ
cana-2634	209	23	agriculture	agriculture	NOUN
cana-2634	209	24	applications	application	NOUN
cana-2634	209	25	.	.	PUNCT
cana-2634	210	1	in	in	ADP
cana-2634	210	2	a	a	DET
cana-2634	210	3	nutshell	nutshell	NOUN
cana-2634	210	4	,	,	PUNCT
cana-2634	210	5	using	use	VERB
cana-2634	210	6	spectral	spectral	ADJ
cana-2634	210	7	imaging	imaging	NOUN
cana-2634	210	8	technology	technology	NOUN
cana-2634	210	9	coupled	couple	VERB
cana-2634	210	10	with	with	ADP
cana-2634	210	11	sophisticated	sophisticated	ADJ
cana-2634	210	12	cnn	cnn	PROPN
cana-2634	210	13	architectures	architecture	NOUN
cana-2634	210	14	like	like	ADP
cana-2634	210	15	efficient	efficient	ADJ
cana-2634	210	16	net	net	NOUN
cana-2634	210	17	and	and	CCONJ
cana-2634	210	18	inception	inception	PROPN
cana-2634	210	19	v6	v6	NOUN
cana-2634	210	20	leads	lead	VERB
cana-2634	210	21	to	to	ADP
cana-2634	210	22	significant	significant	ADJ
cana-2634	210	23	progress	progress	NOUN
cana-2634	210	24	in	in	ADP
cana-2634	210	25	early	early	ADJ
cana-2634	210	26	plant	plant	NOUN
cana-2634	210	27	disease	disease	NOUN
cana-2634	210	28	detection	detection	NOUN
cana-2634	210	29	.	.	PUNCT
cana-2634	211	1	there	there	PRON
cana-2634	211	2	is	be	VERB
cana-2634	211	3	great	great	ADJ
cana-2634	211	4	promise	promise	NOUN
cana-2634	211	5	that	that	SCONJ
cana-2634	211	6	this	this	DET
cana-2634	211	7	technological	technological	ADJ
cana-2634	211	8	advance	advance	NOUN
cana-2634	211	9	will	will	AUX
cana-2634	211	10	enhance	enhance	VERB
cana-2634	211	11	the	the	DET
cana-2634	211	12	sustainability	sustainability	NOUN
cana-2634	211	13	and	and	CCONJ
cana-2634	211	14	efficiency	efficiency	NOUN
cana-2634	211	15	of	of	ADP
cana-2634	211	16	agricultural	agricultural	ADJ
cana-2634	211	17	practices	practice	NOUN
cana-2634	211	18	across	across	ADP
cana-2634	211	19	the	the	DET
cana-2634	211	20	globe	globe	NOUN
cana-2634	211	21	.	.	PUNCT
cana-2634	212	1	7	7	X
cana-2634	212	2	.	.	X
cana-2634	212	3	conclusion	conclusion	NOUN
cana-2634	212	4	and	and	CCONJ
cana-2634	212	5	future	future	ADJ
cana-2634	212	6	work	work	NOUN
cana-2634	212	7	this	this	PRON
cana-2634	212	8	includes	include	VERB
cana-2634	212	9	the	the	DET
cana-2634	212	10	use	use	NOUN
cana-2634	212	11	of	of	ADP
cana-2634	212	12	spectral	spectral	ADJ
cana-2634	212	13	imaging	imaging	NOUN
cana-2634	212	14	and	and	CCONJ
cana-2634	212	15	integration	integration	NOUN
cana-2634	212	16	with	with	ADP
cana-2634	212	17	convolutional	convolutional	ADJ
cana-2634	212	18	neural	neural	ADJ
cana-2634	212	19	networks	network	NOUN
cana-2634	212	20	,	,	PUNCT
cana-2634	212	21	which	which	PRON
cana-2634	212	22	form	form	VERB
cana-2634	212	23	a	a	DET
cana-2634	212	24	significant	significant	ADJ
cana-2634	212	25	advance	advance	NOUN
cana-2634	212	26	in	in	ADP
cana-2634	212	27	early	early	ADJ
cana-2634	212	28	detection	detection	NOUN
cana-2634	212	29	research	research	NOUN
cana-2634	212	30	on	on	ADP
cana-2634	212	31	plant	plant	NOUN
cana-2634	212	32	diseases	disease	NOUN
cana-2634	212	33	.	.	PUNCT
cana-2634	213	1	the	the	DET
cana-2634	213	2	experimental	experimental	ADJ
cana-2634	213	3	results	result	NOUN
cana-2634	213	4	evidenced	evidence	VERB
cana-2634	213	5	that	that	SCONJ
cana-2634	213	6	the	the	DET
cana-2634	213	7	models	model	NOUN
cana-2634	213	8	based	base	VERB
cana-2634	213	9	on	on	ADP
cana-2634	213	10	spectral	spectral	ADJ
cana-2634	213	11	imaging	imaging	NOUN
cana-2634	213	12	are	be	AUX
cana-2634	213	13	better	well	ADJ
cana-2634	213	14	than	than	ADP
cana-2634	213	15	the	the	DET
cana-2634	213	16	traditional	traditional	ADJ
cana-2634	213	17	rgb	rgb	PROPN
cana-2634	213	18	-	-	PUNCT
cana-2634	213	19	based	base	VERB
cana-2634	213	20	models	model	NOUN
cana-2634	213	21	for	for	ADP
cana-2634	213	22	all	all	DET
cana-2634	213	23	the	the	DET
cana-2634	213	24	performance	performance	NOUN
cana-2634	213	25	metrics	metric	NOUN
cana-2634	213	26	like	like	ADP
cana-2634	213	27	accuracy	accuracy	NOUN
cana-2634	213	28	,	,	PUNCT
cana-2634	213	29	precision	precision	NOUN
cana-2634	213	30	,	,	PUNCT
cana-2634	213	31	recall	recall	NOUN
cana-2634	213	32	,	,	PUNCT
cana-2634	213	33	and	and	CCONJ
cana-2634	213	34	f1	f1	PROPN
cana-2634	213	35	score	score	NOUN
cana-2634	213	36	.	.	PUNCT
cana-2634	214	1	the	the	DET
cana-2634	214	2	most	most	ADV
cana-2634	214	3	exciting	exciting	ADJ
cana-2634	214	4	fact	fact	NOUN
cana-2634	214	5	is	be	AUX
cana-2634	214	6	that	that	SCONJ
cana-2634	214	7	models	model	NOUN
cana-2634	214	8	like	like	ADP
cana-2634	214	9	efficient	efficient	ADJ
cana-2634	214	10	net	net	NOUN
cana-2634	214	11	and	and	CCONJ
cana-2634	214	12	inception	inception	PROPN
cana-2634	214	13	v6	v6	NOUN
cana-2634	214	14	showed	show	VERB
cana-2634	214	15	the	the	DET
cana-2634	214	16	highest	high	ADJ
cana-2634	214	17	gain	gain	NOUN
cana-2634	214	18	because	because	SCONJ
cana-2634	214	19	of	of	ADP
cana-2634	214	20	their	their	PRON
cana-2634	214	21	deep	deep	ADJ
cana-2634	214	22	and	and	CCONJ
cana-2634	214	23	complex	complex	ADJ
cana-2634	214	24	architectures	architecture	NOUN
cana-2634	214	25	.	.	PUNCT
cana-2634	215	1	spectral	spectral	ADJ
cana-2634	215	2	imaging	imaging	NOUN
cana-2634	215	3	technology	technology	NOUN
cana-2634	215	4	goes	go	VERB
cana-2634	215	5	beyond	beyond	ADP
cana-2634	215	6	the	the	DET
cana-2634	215	7	visible	visible	ADJ
cana-2634	215	8	spectrum	spectrum	NOUN
cana-2634	215	9	,	,	PUNCT
cana-2634	215	10	allowing	allow	VERB
cana-2634	215	11	great	great	ADJ
cana-2634	215	12	detail	detail	NOUN
cana-2634	215	13	and	and	CCONJ
cana-2634	215	14	deep	deep	ADJ
cana-2634	215	15	information	information	NOUN
cana-2634	215	16	from	from	ADP
cana-2634	215	17	the	the	DET
cana-2634	215	18	acquired	acquire	VERB
cana-2634	215	19	plant	plant	NOUN
cana-2634	215	20	health	health	NOUN
cana-2634	215	21	images	image	NOUN
cana-2634	215	22	.	.	PUNCT
cana-2634	216	1	this	this	PRON
cana-2634	216	2	ensures	ensure	VERB
cana-2634	216	3	better	well	ADJ
cana-2634	216	4	diagnostic	diagnostic	ADJ
cana-2634	216	5	precision	precision	NOUN
cana-2634	216	6	with	with	ADP
cana-2634	216	7	high	high	ADJ
cana-2634	216	8	sensitivity	sensitivity	NOUN
cana-2634	216	9	in	in	ADP
cana-2634	216	10	early	early	ADJ
cana-2634	216	11	detection	detection	NOUN
cana-2634	216	12	,	,	PUNCT
cana-2634	216	13	rendering	render	VERB
cana-2634	216	14	the	the	DET
cana-2634	216	15	models	model	NOUN
cana-2634	216	16	highly	highly	ADV
cana-2634	216	17	effective	effective	ADJ
cana-2634	216	18	for	for	ADP
cana-2634	216	19	real	real	ADJ
cana-2634	216	20	-	-	PUNCT
cana-2634	216	21	time	time	NOUN
cana-2634	216	22	diagnostic	diagnostic	ADJ
cana-2634	216	23	systems	system	NOUN
cana-2634	216	24	.	.	PUNCT
cana-2634	217	1	for	for	ADP
cana-2634	217	2	this	this	DET
cana-2634	217	3	reason	reason	NOUN
cana-2634	217	4	,	,	PUNCT
cana-2634	217	5	the	the	DET
cana-2634	217	6	potential	potential	ADJ
cana-2634	217	7	reduction	reduction	NOUN
cana-2634	217	8	in	in	ADP
cana-2634	217	9	pesticide	pesticide	NOUN
cana-2634	217	10	use	use	NOUN
cana-2634	217	11	,	,	PUNCT
cana-2634	217	12	which	which	PRON
cana-2634	217	13	would	would	AUX
cana-2634	217	14	result	result	VERB
cana-2634	217	15	from	from	ADP
cana-2634	217	16	accurate	accurate	ADJ
cana-2634	217	17	and	and	CCONJ
cana-2634	217	18	early	early	ADJ
cana-2634	217	19	detection	detection	NOUN
cana-2634	217	20	of	of	ADP
cana-2634	217	21	diseases	disease	NOUN
cana-2634	217	22	leading	lead	VERB
cana-2634	217	23	to	to	ADP
cana-2634	217	24	targeted	target	VERB
cana-2634	217	25	interventions	intervention	NOUN
cana-2634	217	26	,	,	PUNCT
cana-2634	217	27	remains	remain	VERB
cana-2634	217	28	a	a	DET
cana-2634	217	29	significant	significant	ADJ
cana-2634	217	30	benefit	benefit	NOUN
cana-2634	217	31	.	.	PUNCT
cana-2634	218	1	a	a	DET
cana-2634	218	2	future	future	ADJ
cana-2634	218	3	line	line	NOUN
cana-2634	218	4	of	of	ADP
cana-2634	218	5	research	research	NOUN
cana-2634	218	6	will	will	AUX
cana-2634	218	7	have	have	VERB
cana-2634	218	8	to	to	PART
cana-2634	218	9	aim	aim	VERB
cana-2634	218	10	at	at	ADP
cana-2634	218	11	better	well	ADJ
cana-2634	218	12	and	and	CCONJ
cana-2634	218	13	more	more	ADV
cana-2634	218	14	robust	robust	ADJ
cana-2634	218	15	development	development	NOUN
cana-2634	218	16	of	of	ADP
cana-2634	218	17	such	such	ADJ
cana-2634	218	18	models	model	NOUN
cana-2634	218	19	so	so	SCONJ
cana-2634	218	20	that	that	SCONJ
cana-2634	218	21	they	they	PRON
cana-2634	218	22	can	can	AUX
cana-2634	218	23	be	be	AUX
cana-2634	218	24	applied	apply	VERB
cana-2634	218	25	in	in	ADP
cana-2634	218	26	actual	actual	ADJ
cana-2634	218	27	large	large	ADJ
cana-2634	218	28	-	-	PUNCT
cana-2634	218	29	scale	scale	NOUN
cana-2634	218	30	agricultural	agricultural	ADJ
cana-2634	218	31	setups	setup	NOUN
cana-2634	218	32	with	with	ADP
cana-2634	218	33	variations	variation	NOUN
cana-2634	218	34	in	in	ADP
cana-2634	218	35	environmental	environmental	ADJ
cana-2634	218	36	conditions	condition	NOUN
cana-2634	218	37	.	.	PUNCT
cana-2634	219	1	this	this	DET
cana-2634	219	2	further	further	ADJ
cana-2634	219	3	development	development	NOUN
cana-2634	219	4	would	would	AUX
cana-2634	219	5	solidify	solidify	VERB
cana-2634	219	6	spectral	spectral	ADJ
cana-2634	219	7	imaging	imaging	NOUN
cana-2634	219	8	and	and	CCONJ
cana-2634	219	9	its	its	PRON
cana-2634	219	10	importance	importance	NOUN
cana-2634	219	11	for	for	ADP
cana-2634	219	12	advanced	advanced	ADJ
cana-2634	219	13	cnn	cnn	PROPN
cana-2634	219	14	models	model	NOUN
cana-2634	219	15	,	,	PUNCT
cana-2634	219	16	such	such	ADJ
cana-2634	219	17	as	as	ADP
cana-2634	219	18	efficient	efficient	ADJ
cana-2634	219	19	net	net	NOUN
cana-2634	219	20	and	and	CCONJ
cana-2634	219	21	inception	inception	PROPN
cana-2634	219	22	v6	v6	PROPN
cana-2634	219	23	,	,	PUNCT
cana-2634	219	24	towards	towards	ADP
cana-2634	219	25	globally	globally	ADV
cana-2634	219	26	sustainable	sustainable	ADJ
cana-2634	219	27	and	and	CCONJ
cana-2634	219	28	resource	resource	NOUN
cana-2634	219	29	-	-	PUNCT
cana-2634	219	30	efficient	efficient	ADJ
cana-2634	219	31	agriculture	agriculture	NOUN
cana-2634	219	32	.	.	PUNCT
cana-2634	220	1	conflicts	conflict	NOUN
cana-2634	220	2	of	of	ADP
cana-2634	220	3	interests	interest	NOUN
cana-2634	220	4	:	:	PUNCT
cana-2634	220	5	there	there	PRON
cana-2634	220	6	are	be	VERB
cana-2634	220	7	no	no	DET
cana-2634	220	8	conflicts	conflict	NOUN
cana-2634	220	9	of	of	ADP
cana-2634	220	10	interest	interest	NOUN
cana-2634	220	11	communications	communication	NOUN
cana-2634	220	12	on	on	ADP
cana-2634	220	13	applied	apply	VERB
cana-2634	220	14	nonlinear	nonlinear	ADJ
cana-2634	220	15	analysis	analysis	NOUN
cana-2634	220	16	issn	issn	NOUN
cana-2634	220	17	:	:	PUNCT
cana-2634	220	18	1074	1074	NUM
cana-2634	220	19	-	-	PUNCT
cana-2634	220	20	133x	133x	NUM
cana-2634	220	21	vol	vol	NOUN
cana-2634	220	22	32	32	NUM
cana-2634	220	23	no	no	NOUN
cana-2634	220	24	.	.	PUNCT
cana-2634	221	1	3s	3s	NUM
cana-2634	221	2	(	(	PUNCT
cana-2634	221	3	2025	2025	NUM
cana-2634	221	4	)	)	PUNCT
cana-2634	221	5	248	248	NUM
cana-2634	221	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2634	221	7	references	reference	NOUN
cana-2634	221	8	[	[	X
cana-2634	221	9	1	1	NUM
cana-2634	221	10	]	]	X
cana-2634	221	11	abdallah	abdallah	PROPN
cana-2634	221	12	,	,	PUNCT
cana-2634	221	13	a.	a.	PROPN
cana-2634	221	14	,	,	PUNCT
cana-2634	221	15	rashwan	rashwan	PROPN
cana-2634	221	16	,	,	PUNCT
cana-2634	221	17	h.	h.	PROPN
cana-2634	221	18	a.	a.	PROPN
cana-2634	221	19	,	,	PUNCT
cana-2634	221	20	rho	rho	PROPN
cana-2634	221	21	,	,	PUNCT
cana-2634	221	22	s.	s.	PROPN
cana-2634	221	23	,	,	PUNCT
cana-2634	221	24	&	&	CCONJ
cana-2634	221	25	lee	lee	PROPN
cana-2634	221	26	,	,	PUNCT
cana-2634	221	27	s.	s.	PROPN
cana-2634	221	28	(	(	PUNCT
cana-2634	221	29	2020	2020	NUM
cana-2634	221	30	)	)	PUNCT
cana-2634	221	31	.	.	PUNCT
cana-2634	222	1	a	a	DET
cana-2634	222	2	comprehensive	comprehensive	ADJ
cana-2634	222	3	survey	survey	NOUN
cana-2634	222	4	of	of	ADP
cana-2634	222	5	deep	deep	ADJ
cana-2634	222	6	learning	learning	NOUN
cana-2634	222	7	techniques	technique	NOUN
cana-2634	222	8	for	for	ADP
cana-2634	222	9	plant	plant	NOUN
cana-2634	222	10	disease	disease	NOUN
cana-2634	222	11	detection	detection	NOUN
cana-2634	222	12	.	.	PUNCT
cana-2634	223	1	ieee	ieee	NOUN
cana-2634	223	2	access	access	NOUN
cana-2634	223	3	.	.	PUNCT
cana-2634	224	1	https://doi.org/10.1109/access.2020.3026341	https://doi.org/10.1109/access.2020.3026341	PROPN
cana-2634	224	2	[	[	X
cana-2634	224	3	2	2	NUM
cana-2634	224	4	]	]	X
cana-2634	224	5	singh	singh	PROPN
cana-2634	224	6	,	,	PUNCT
cana-2634	224	7	d.	d.	PROPN
cana-2634	224	8	,	,	PUNCT
cana-2634	224	9	jain	jain	PROPN
cana-2634	224	10	,	,	PUNCT
cana-2634	224	11	n.	n.	PROPN
cana-2634	224	12	,	,	PUNCT
cana-2634	224	13	jain	jain	PROPN
cana-2634	224	14	,	,	PUNCT
cana-2634	224	15	p.	p.	PROPN
cana-2634	224	16	,	,	PUNCT
cana-2634	224	17	kayal	kayal	PROPN
cana-2634	224	18	,	,	PUNCT
cana-2634	224	19	p.	p.	PROPN
cana-2634	224	20	,	,	PUNCT
cana-2634	224	21	kumawat	kumawat	PROPN
cana-2634	224	22	,	,	PUNCT
cana-2634	224	23	s.	s.	PROPN
cana-2634	224	24	,	,	PUNCT
cana-2634	224	25	&	&	CCONJ
cana-2634	224	26	batra	batra	PROPN
cana-2634	224	27	,	,	PUNCT
cana-2634	224	28	n.	n.	PROPN
cana-2634	224	29	(	(	PUNCT
cana-2634	224	30	2020	2020	NUM
cana-2634	224	31	)	)	PUNCT
cana-2634	224	32	.	.	PUNCT
cana-2634	225	1	plantdoc	plantdoc	NOUN
cana-2634	225	2	:	:	PUNCT
cana-2634	225	3	a	a	DET
cana-2634	225	4	dataset	dataset	NOUN
cana-2634	225	5	for	for	ADP
cana-2634	225	6	visual	visual	ADJ
cana-2634	225	7	plant	plant	NOUN
cana-2634	225	8	disease	disease	NOUN
cana-2634	225	9	detection	detection	NOUN
cana-2634	225	10	.	.	PUNCT
cana-2634	226	1	in	in	ADP
cana-2634	226	2	proceedings	proceeding	NOUN
cana-2634	226	3	of	of	ADP
cana-2634	226	4	the	the	DET
cana-2634	226	5	7th	7th	ADJ
cana-2634	226	6	acm	acm	PROPN
cana-2634	226	7	ikdd	ikdd	NOUN
cana-2634	226	8	cods	cod	NOUN
cana-2634	226	9	and	and	CCONJ
cana-2634	226	10	25th	25th	NOUN
cana-2634	226	11	comad	comad	NOUN
cana-2634	226	12	(	(	PUNCT
cana-2634	226	13	pp	pp	ADJ
cana-2634	226	14	.	.	PUNCT
cana-2634	227	1	249–253	249–253	NUM
cana-2634	227	2	)	)	PUNCT
cana-2634	227	3	.	.	PUNCT
cana-2634	228	1	[	[	X
cana-2634	228	2	3	3	NUM
cana-2634	228	3	]	]	X
cana-2634	228	4	zhu	zhu	PROPN
cana-2634	228	5	,	,	PUNCT
cana-2634	228	6	j.	j.	PROPN
cana-2634	228	7	,	,	PUNCT
cana-2634	228	8	zhou	zhou	PROPN
cana-2634	228	9	,	,	PUNCT
cana-2634	228	10	y.	y.	PROPN
cana-2634	228	11	,	,	PUNCT
cana-2634	228	12	liu	liu	PROPN
cana-2634	228	13	,	,	PUNCT
cana-2634	228	14	j.	j.	PROPN
cana-2634	228	15	,	,	PUNCT
cana-2634	228	16	&	&	CCONJ
cana-2634	228	17	wang	wang	PROPN
cana-2634	228	18	,	,	PUNCT
cana-2634	228	19	x.	x.	NOUN
cana-2634	228	20	(	(	PUNCT
cana-2634	228	21	2021	2021	NUM
cana-2634	228	22	)	)	PUNCT
cana-2634	228	23	.	.	PUNCT
cana-2634	229	1	plant	plant	NOUN
cana-2634	229	2	disease	disease	NOUN
cana-2634	229	3	identification	identification	NOUN
cana-2634	229	4	based	base	VERB
cana-2634	229	5	on	on	ADP
cana-2634	229	6	deep	deep	ADJ
cana-2634	229	7	learning	learning	NOUN
cana-2634	229	8	and	and	CCONJ
cana-2634	229	9	transfer	transfer	VERB
cana-2634	229	10	learning	learning	NOUN
cana-2634	229	11	.	.	PUNCT
cana-2634	230	1	sensors	sensor	NOUN
cana-2634	230	2	,	,	PUNCT
cana-2634	230	3	21(17	21(17	NUM
cana-2634	230	4	)	)	PUNCT
cana-2634	230	5	,	,	PUNCT
cana-2634	230	6	6276	6276	NUM
cana-2634	230	7	.	.	PUNCT
cana-2634	231	1	https://doi.org/10.3390/s21176276	https://doi.org/10.3390/s21176276	PRON
cana-2634	232	1	[	[	X
cana-2634	232	2	4	4	NUM
cana-2634	232	3	]	]	X
cana-2634	232	4	sunayana	sunayana	PROPN
cana-2634	232	5	,	,	PUNCT
cana-2634	232	6	k.	k.	PROPN
cana-2634	232	7	,	,	PUNCT
cana-2634	232	8	patil	patil	PROPN
cana-2634	232	9	,	,	PUNCT
cana-2634	232	10	s.	s.	PROPN
cana-2634	232	11	,	,	PUNCT
cana-2634	232	12	&	&	CCONJ
cana-2634	232	13	patil	patil	PROPN
cana-2634	232	14	,	,	PUNCT
cana-2634	232	15	d.	d.	PROPN
cana-2634	232	16	(	(	PUNCT
cana-2634	232	17	2021	2021	NUM
cana-2634	232	18	)	)	PUNCT
cana-2634	232	19	.	.	PUNCT
cana-2634	233	1	plant	plant	NOUN
cana-2634	233	2	disease	disease	NOUN
cana-2634	233	3	classification	classification	NOUN
cana-2634	233	4	using	use	VERB
cana-2634	233	5	deep	deep	ADJ
cana-2634	233	6	learning	learning	NOUN
cana-2634	233	7	.	.	PUNCT
cana-2634	234	1	in	in	ADP
cana-2634	234	2	proceedings	proceeding	NOUN
cana-2634	234	3	of	of	ADP
cana-2634	234	4	the	the	DET
cana-2634	234	5	2021	2021	NUM
cana-2634	234	6	international	international	ADJ
cana-2634	234	7	conference	conference	NOUN
cana-2634	234	8	on	on	ADP
cana-2634	234	9	inventive	inventive	ADJ
cana-2634	234	10	computation	computation	NOUN
cana-2634	234	11	technologies	technology	NOUN
cana-2634	234	12	(	(	PUNCT
cana-2634	234	13	icict	icict	NOUN
cana-2634	234	14	)	)	PUNCT
cana-2634	234	15	(	(	PUNCT
cana-2634	234	16	pp	pp	ADV
cana-2634	234	17	.	.	PUNCT
cana-2634	235	1	1–5	1–5	NUM
cana-2634	235	2	)	)	PUNCT
cana-2634	235	3	.	.	PUNCT
cana-2634	236	1	[	[	X
cana-2634	236	2	5	5	X
cana-2634	236	3	]	]	X
cana-2634	236	4	dhaka	dhaka	PROPN
cana-2634	236	5	,	,	PUNCT
cana-2634	236	6	m.	m.	PROPN
cana-2634	236	7	s.	s.	PROPN
cana-2634	236	8	,	,	PUNCT
cana-2634	236	9	khan	khan	PROPN
cana-2634	236	10	,	,	PUNCT
cana-2634	236	11	a.	a.	PROPN
cana-2634	236	12	,	,	PUNCT
cana-2634	236	13	islam	islam	PROPN
cana-2634	236	14	,	,	PUNCT
cana-2634	236	15	m.	m.	NOUN
cana-2634	236	16	s.	s.	PROPN
cana-2634	236	17	,	,	PUNCT
cana-2634	236	18	&	&	CCONJ
cana-2634	236	19	yasin	yasin	PROPN
cana-2634	236	20	,	,	PUNCT
cana-2634	236	21	m.	m.	NOUN
cana-2634	236	22	a.	a.	NOUN
cana-2634	236	23	(	(	PUNCT
cana-2634	236	24	2022	2022	NUM
cana-2634	236	25	)	)	PUNCT
cana-2634	236	26	.	.	PUNCT
cana-2634	237	1	identification	identification	NOUN
cana-2634	237	2	of	of	ADP
cana-2634	237	3	plant	plant	NOUN
cana-2634	237	4	leaf	leaf	NOUN
cana-2634	237	5	diseases	disease	NOUN
cana-2634	237	6	by	by	ADP
cana-2634	237	7	deep	deep	ADJ
cana-2634	237	8	learning	learning	NOUN
cana-2634	237	9	based	base	VERB
cana-2634	237	10	on	on	ADP
cana-2634	237	11	channel	channel	NOUN
cana-2634	237	12	attention	attention	NOUN
cana-2634	237	13	and	and	CCONJ
cana-2634	237	14	channel	channel	NOUN
cana-2634	237	15	pruning	pruning	NOUN
cana-2634	237	16	.	.	PUNCT
cana-2634	238	1	computers	computer	NOUN
cana-2634	238	2	and	and	CCONJ
cana-2634	238	3	electronics	electronic	NOUN
cana-2634	238	4	in	in	ADP
cana-2634	238	5	agriculture	agriculture	NOUN
cana-2634	238	6	,	,	PUNCT
cana-2634	238	7	182	182	NUM
cana-2634	238	8	,	,	PUNCT
cana-2634	238	9	106066	106066	NUM
cana-2634	238	10	.	.	PUNCT
cana-2634	239	1	https://doi.org/10.1016/j.compag.2021.106066	https://doi.org/10.1016/j.compag.2021.106066	ADJ
cana-2634	239	2	[	[	X
cana-2634	239	3	6	6	NUM
cana-2634	239	4	]	]	SYM
cana-2634	239	5	ngugi	ngugi	PROPN
cana-2634	239	6	,	,	PUNCT
cana-2634	239	7	l.	l.	PROPN
cana-2634	239	8	c.	c.	PROPN
cana-2634	239	9	,	,	PUNCT
cana-2634	239	10	abelwahab	abelwahab	PROPN
cana-2634	239	11	,	,	PUNCT
cana-2634	239	12	m.	m.	NOUN
cana-2634	239	13	,	,	PUNCT
cana-2634	239	14	&	&	CCONJ
cana-2634	239	15	abozahhad	abozahhad	PROPN
cana-2634	239	16	,	,	PUNCT
cana-2634	239	17	m.	m.	NOUN
cana-2634	239	18	(	(	PUNCT
cana-2634	239	19	2021	2021	NUM
cana-2634	239	20	)	)	PUNCT
cana-2634	239	21	.	.	PUNCT
cana-2634	240	1	recent	recent	ADJ
cana-2634	240	2	advances	advance	NOUN
cana-2634	240	3	in	in	ADP
cana-2634	240	4	image	image	NOUN
cana-2634	240	5	processing	processing	NOUN
cana-2634	240	6	techniques	technique	NOUN
cana-2634	240	7	for	for	ADP
cana-2634	240	8	automated	automate	VERB
cana-2634	240	9	leaf	leaf	NOUN
cana-2634	240	10	pest	pest	NOUN
cana-2634	240	11	and	and	CCONJ
cana-2634	240	12	disease	disease	NOUN
cana-2634	240	13	recognition	recognition	NOUN
cana-2634	240	14	–	–	PUNCT
cana-2634	240	15	a	a	DET
cana-2634	240	16	review	review	NOUN
cana-2634	240	17	.	.	PUNCT
cana-2634	241	1	information	information	NOUN
cana-2634	241	2	processing	processing	NOUN
cana-2634	241	3	in	in	ADP
cana-2634	241	4	agriculture	agriculture	NOUN
cana-2634	241	5	,	,	PUNCT
cana-2634	241	6	8(1	8(1	NOUN
cana-2634	241	7	)	)	PUNCT
cana-2634	241	8	,	,	PUNCT
cana-2634	241	9	27	27	NUM
cana-2634	241	10	–	–	SYM
cana-2634	241	11	51	51	NUM
cana-2634	241	12	.	.	PUNCT
cana-2634	242	1	https://doi.org/10.1016/j.inpa.2020.09.003	https://doi.org/10.1016/j.inpa.2020.09.003	PROPN
cana-2634	243	1	[	[	X
cana-2634	243	2	7	7	NUM
cana-2634	243	3	]	]	PUNCT
cana-2634	243	4	mohanty	mohanty	NOUN
cana-2634	243	5	,	,	PUNCT
cana-2634	243	6	s.	s.	PROPN
cana-2634	243	7	p.	p.	PROPN
cana-2634	243	8	,	,	PUNCT
cana-2634	243	9	hughes	hughes	PROPN
cana-2634	243	10	,	,	PUNCT
cana-2634	243	11	d.	d.	PROPN
cana-2634	243	12	p.	p.	PROPN
cana-2634	243	13	,	,	PUNCT
cana-2634	243	14	&	&	CCONJ
cana-2634	243	15	salathé	salathé	PROPN
cana-2634	243	16	,	,	PUNCT
cana-2634	243	17	m.	m.	NOUN
cana-2634	243	18	(	(	PUNCT
cana-2634	243	19	2016	2016	NUM
cana-2634	243	20	)	)	PUNCT
cana-2634	243	21	.	.	PUNCT
cana-2634	244	1	using	use	VERB
cana-2634	244	2	deep	deep	ADJ
cana-2634	244	3	learning	learning	NOUN
cana-2634	244	4	for	for	ADP
cana-2634	244	5	image	image	NOUN
cana-2634	244	6	-	-	PUNCT
cana-2634	244	7	based	base	VERB
cana-2634	244	8	plant	plant	NOUN
cana-2634	244	9	disease	disease	NOUN
cana-2634	244	10	detection	detection	NOUN
cana-2634	244	11	.	.	PUNCT
cana-2634	245	1	frontiers	frontier	NOUN
cana-2634	245	2	in	in	ADP
cana-2634	245	3	plant	plant	NOUN
cana-2634	245	4	science	science	NOUN
cana-2634	245	5	,	,	PUNCT
cana-2634	245	6	7	7	NUM
cana-2634	245	7	,	,	PUNCT
cana-2634	245	8	1419	1419	NUM
cana-2634	245	9	.	.	PUNCT
cana-2634	246	1	https://doi.org/10.3389/fpls.2016.01419	https://doi.org/10.3389/fpls.2016.01419	X
cana-2634	247	1	[	[	X
cana-2634	247	2	8	8	NUM
cana-2634	247	3	]	]	X
cana-2634	247	4	wang	wang	PROPN
cana-2634	247	5	,	,	PUNCT
cana-2634	247	6	g.	g.	PROPN
cana-2634	247	7	,	,	PUNCT
cana-2634	247	8	sun	sun	NOUN
cana-2634	247	9	,	,	PUNCT
cana-2634	247	10	y.	y.	PROPN
cana-2634	247	11	,	,	PUNCT
cana-2634	247	12	&	&	CCONJ
cana-2634	247	13	wang	wang	PROPN
cana-2634	247	14	,	,	PUNCT
cana-2634	247	15	j.	j.	PROPN
cana-2634	247	16	(	(	PUNCT
cana-2634	247	17	2017	2017	NUM
cana-2634	247	18	)	)	PUNCT
cana-2634	247	19	.	.	PUNCT
cana-2634	248	1	automatic	automatic	ADJ
cana-2634	248	2	image	image	NOUN
cana-2634	248	3	-	-	PUNCT
cana-2634	248	4	based	base	VERB
cana-2634	248	5	plant	plant	NOUN
cana-2634	248	6	disease	disease	NOUN
cana-2634	248	7	severity	severity	NOUN
cana-2634	248	8	estimation	estimation	NOUN
cana-2634	248	9	using	use	VERB
cana-2634	248	10	deep	deep	ADJ
cana-2634	248	11	learning	learning	NOUN
cana-2634	248	12	.	.	PUNCT
cana-2634	249	1	computational	computational	ADJ
cana-2634	249	2	intelligence	intelligence	NOUN
cana-2634	249	3	and	and	CCONJ
cana-2634	249	4	neuroscience	neuroscience	NOUN
cana-2634	249	5	,	,	PUNCT
cana-2634	249	6	2017	2017	NUM
cana-2634	249	7	,	,	PUNCT
cana-2634	249	8	2917536	2917536	NUM
cana-2634	249	9	.	.	PUNCT
cana-2634	250	1	https://doi.org/10.1155/2017/2917536	https://doi.org/10.1155/2017/2917536	NOUN
cana-2634	251	1	[	[	X
cana-2634	251	2	9	9	NUM
cana-2634	251	3	]	]	SYM
cana-2634	251	4	pan	pan	PROPN
cana-2634	251	5	,	,	PUNCT
cana-2634	251	6	j.	j.	PROPN
cana-2634	251	7	,	,	PUNCT
cana-2634	251	8	li	li	PROPN
cana-2634	251	9	,	,	PUNCT
cana-2634	251	10	h.	h.	PROPN
cana-2634	251	11	,	,	PUNCT
cana-2634	251	12	chen	chen	PROPN
cana-2634	251	13	,	,	PUNCT
cana-2634	251	14	z.	z.	PROPN
cana-2634	251	15	,	,	PUNCT
cana-2634	251	16	wang	wang	PROPN
cana-2634	251	17	,	,	PUNCT
cana-2634	251	18	x.	x.	PROPN
cana-2634	251	19	,	,	PUNCT
cana-2634	251	20	zhang	zhang	PROPN
cana-2634	251	21	,	,	PUNCT
cana-2634	251	22	l.	l.	PROPN
cana-2634	251	23	,	,	PUNCT
cana-2634	251	24	&	&	CCONJ
cana-2634	251	25	zhang	zhang	PROPN
cana-2634	251	26	,	,	PUNCT
cana-2634	251	27	l.	l.	PROPN
cana-2634	251	28	(	(	PUNCT
cana-2634	251	29	2022	2022	NUM
cana-2634	251	30	)	)	PUNCT
cana-2634	251	31	.	.	PUNCT
cana-2634	252	1	a	a	DET
cana-2634	252	2	robust	robust	ADJ
cana-2634	252	3	plant	plant	NOUN
cana-2634	252	4	disease	disease	NOUN
cana-2634	252	5	detection	detection	NOUN
cana-2634	252	6	system	system	NOUN
cana-2634	252	7	based	base	VERB
cana-2634	252	8	on	on	ADP
cana-2634	252	9	deep	deep	ADJ
cana-2634	252	10	learning	learning	NOUN
cana-2634	252	11	and	and	CCONJ
cana-2634	252	12	transfer	transfer	VERB
cana-2634	252	13	learning	learning	NOUN
cana-2634	252	14	.	.	PUNCT
cana-2634	253	1	computers	computer	NOUN
cana-2634	253	2	and	and	CCONJ
cana-2634	253	3	electronics	electronic	NOUN
cana-2634	253	4	in	in	ADP
cana-2634	253	5	agriculture	agriculture	NOUN
cana-2634	253	6	,	,	PUNCT
cana-2634	253	7	184	184	NUM
cana-2634	253	8	,	,	PUNCT
cana-2634	253	9	106319	106319	NUM
cana-2634	253	10	.	.	PUNCT
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cana-2634	255	3	]	]	X
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cana-2634	257	5	,	,	PUNCT
cana-2634	257	6	383–391	383–391	NUM
cana-2634	257	7	.	.	PUNCT
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cana-2634	258	3	]	]	SYM
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cana-2634	258	21	&	&	CCONJ
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cana-2634	258	30	)	)	PUNCT
cana-2634	258	31	.	.	PUNCT
cana-2634	259	1	a	a	DET
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cana-2634	259	9	.	.	PUNCT
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cana-2634	260	2	,	,	PUNCT
cana-2634	260	3	22(3	22(3	NUM
cana-2634	260	4	)	)	PUNCT
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cana-2634	260	7	.	.	PUNCT
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cana-2634	262	3	]	]	X
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cana-2634	262	14	)	)	PUNCT
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cana-2634	263	8	and	and	CCONJ
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cana-2634	263	11	.	.	PUNCT
cana-2634	264	1	ieee	ieee	NOUN
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cana-2634	265	3	13	13	NUM
cana-2634	265	4	]	]	X
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cana-2634	265	25	(	(	PUNCT
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cana-2634	265	27	)	)	PUNCT
cana-2634	265	28	.	.	PUNCT
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cana-2634	266	7	.	.	PUNCT
cana-2634	267	1	ieee	ieee	NOUN
cana-2634	267	2	access	access	NOUN
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cana-2634	268	3	14	14	NUM
cana-2634	268	4	]	]	PUNCT
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cana-2634	268	6	,	,	PUNCT
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cana-2634	268	8	,	,	PUNCT
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cana-2634	272	19	)	)	PUNCT
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cana-2634	275	3	]	]	X
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cana-2634	275	9	,	,	PUNCT
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cana-2634	275	27	.	.	PUNCT
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cana-2634	277	6	/	/	SYM
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cana-2634	279	3	]	]	X
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cana-2634	279	5	,	,	PUNCT
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cana-2634	279	10	y.	y.	PROPN
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cana-2634	279	13	,	,	PUNCT
cana-2634	279	14	j.	j.	PROPN
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cana-2634	279	17	,	,	PUNCT
cana-2634	279	18	p.	p.	PROPN
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cana-2634	279	20	&	&	CCONJ
cana-2634	279	21	wang	wang	PROPN
cana-2634	279	22	,	,	PUNCT
cana-2634	279	23	k.	k.	PROPN
cana-2634	279	24	(	(	PUNCT
cana-2634	279	25	2021	2021	NUM
cana-2634	279	26	)	)	PUNCT
cana-2634	279	27	.	.	PUNCT
cana-2634	280	1	a	a	DET
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cana-2634	280	4	disease	disease	NOUN
cana-2634	280	5	model	model	NOUN
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cana-2634	280	8	eca	eca	NOUN
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cana-2634	281	4	60(12	60(12	NUM
cana-2634	281	5	)	)	PUNCT
cana-2634	281	6	,	,	PUNCT
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cana-2634	281	8	.	.	PUNCT
cana-2634	282	1	https://doi.org/10.1111/ppa.13405	https://doi.org/10.1111/ppa.13405	NOUN
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cana-2634	283	2	18	18	NUM
cana-2634	283	3	]	]	SYM
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cana-2634	283	8	&	&	CCONJ
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cana-2634	283	11	f.	f.	PROPN
cana-2634	283	12	(	(	PUNCT
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cana-2634	283	14	)	)	PUNCT
cana-2634	283	15	.	.	PUNCT
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cana-2634	284	3	neural	neural	ADJ
cana-2634	284	4	networks	network	NOUN
cana-2634	284	5	diagnose	diagnose	VERB
cana-2634	284	6	plant	plant	NOUN
cana-2634	284	7	disease	disease	NOUN
cana-2634	284	8	.	.	PUNCT
cana-2634	285	1	plant	plant	NOUN
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cana-2634	286	3	on	on	ADP
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cana-2634	286	6	analysis	analysis	NOUN
cana-2634	286	7	issn	issn	NOUN
cana-2634	286	8	:	:	PUNCT
cana-2634	286	9	1074	1074	NUM
cana-2634	286	10	-	-	PUNCT
cana-2634	286	11	133x	133x	NUM
cana-2634	286	12	vol	vol	NOUN
cana-2634	286	13	32	32	NUM
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cana-2634	286	15	.	.	PUNCT
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cana-2634	287	2	(	(	PUNCT
cana-2634	287	3	2025	2025	NUM
cana-2634	287	4	)	)	PUNCT
cana-2634	287	5	249	249	NUM
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cana-2634	288	1	[	[	X
cana-2634	288	2	19	19	NUM
cana-2634	288	3	]	]	X
cana-2634	288	4	sathyavani	sathyavani	PROPN
cana-2634	288	5	,	,	PUNCT
cana-2634	288	6	n.	n.	PROPN
cana-2634	288	7	,	,	PUNCT
cana-2634	288	8	kumar	kumar	PROPN
cana-2634	288	9	,	,	PUNCT
cana-2634	288	10	k.	k.	PROPN
cana-2634	288	11	s.	s.	PROPN
cana-2634	288	12	,	,	PUNCT
cana-2634	288	13	&	&	CCONJ
cana-2634	288	14	arulselvan	arulselvan	PROPN
cana-2634	288	15	,	,	PUNCT
cana-2634	288	16	n.	n.	NOUN
cana-2634	288	17	(	(	PUNCT
cana-2634	288	18	2021	2021	NUM
cana-2634	288	19	)	)	PUNCT
cana-2634	288	20	.	.	PUNCT
cana-2634	289	1	a	a	DET
cana-2634	289	2	deep	deep	ADJ
cana-2634	289	3	learning	learning	NOUN
cana-2634	289	4	approach	approach	NOUN
cana-2634	289	5	for	for	ADP
cana-2634	289	6	nutrient	nutrient	ADJ
cana-2634	289	7	deficiency	deficiency	NOUN
cana-2634	289	8	detection	detection	NOUN
cana-2634	289	9	in	in	ADP
cana-2634	289	10	rice	rice	NOUN
cana-2634	289	11	crop	crop	NOUN
cana-2634	289	12	.	.	PUNCT
cana-2634	290	1	sensors	sensor	NOUN
cana-2634	290	2	,	,	PUNCT
cana-2634	290	3	21(20	21(20	NUM
cana-2634	290	4	)	)	PUNCT
cana-2634	290	5	,	,	PUNCT
cana-2634	290	6	6694	6694	NUM
cana-2634	290	7	.	.	PUNCT
cana-2634	291	1	https://doi.org/10.3390/s21206694	https://doi.org/10.3390/s21206694	PRON
cana-2634	291	2	[	[	X
cana-2634	291	3	20	20	NUM
cana-2634	291	4	]	]	X
cana-2634	291	5	ghazi	ghazi	PROPN
cana-2634	291	6	,	,	PUNCT
cana-2634	291	7	m.	m.	NOUN
cana-2634	291	8	m.	m.	NOUN
cana-2634	291	9	,	,	PUNCT
cana-2634	291	10	&	&	CCONJ
cana-2634	291	11	farooq	farooq	PROPN
cana-2634	291	12	,	,	PUNCT
cana-2634	291	13	m.	m.	NOUN
cana-2634	291	14	s.	s.	PROPN
cana-2634	291	15	(	(	PUNCT
cana-2634	291	16	2020	2020	NUM
cana-2634	291	17	)	)	PUNCT
cana-2634	291	18	.	.	PUNCT
cana-2634	292	1	deep	deep	ADJ
cana-2634	292	2	learning	learning	NOUN
cana-2634	292	3	for	for	ADP
cana-2634	292	4	plant	plant	NOUN
cana-2634	292	5	diseases	disease	NOUN
cana-2634	292	6	:	:	PUNCT
cana-2634	292	7	detection	detection	NOUN
cana-2634	292	8	and	and	CCONJ
cana-2634	292	9	saliency	saliency	NOUN
cana-2634	292	10	map	map	NOUN
cana-2634	292	11	visualization	visualization	NOUN
cana-2634	292	12	.	.	PUNCT
cana-2634	293	1	frontiers	frontier	NOUN
cana-2634	293	2	in	in	ADP
cana-2634	293	3	plant	plant	NOUN
cana-2634	293	4	science	science	NOUN
cana-2634	293	5	.	.	PUNCT