id	sid	tid	token	lemma	pos
cana-2864	1	1	communications	communication	NOUN
cana-2864	1	2	on	on	ADP
cana-2864	1	3	applied	apply	VERB
cana-2864	1	4	nonlinear	nonlinear	ADJ
cana-2864	1	5	analysis	analysis	NOUN
cana-2864	1	6	issn	issn	NOUN
cana-2864	1	7	:	:	PUNCT
cana-2864	1	8	1074	1074	NUM
cana-2864	1	9	-	-	PUNCT
cana-2864	1	10	133x	133x	NUM
cana-2864	1	11	vol	vol	NOUN
cana-2864	1	12	32	32	NUM
cana-2864	1	13	no	no	NOUN
cana-2864	1	14	.	.	PUNCT
cana-2864	2	1	4s	4s	NUM
cana-2864	2	2	(	(	PUNCT
cana-2864	2	3	2025	2025	NUM
cana-2864	2	4	)	)	PUNCT
cana-2864	3	1	459	459	NUM
cana-2864	3	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	3	3	influence	influence	NOUN
cana-2864	3	4	of	of	ADP
cana-2864	3	5	xception	xception	PROPN
cana-2864	3	6	and	and	CCONJ
cana-2864	3	7	densenet121	densenet121	PROPN
cana-2864	3	8	architectures	architecture	NOUN
cana-2864	3	9	for	for	ADP
cana-2864	3	10	plant	plant	NOUN
cana-2864	3	11	disease	disease	NOUN
cana-2864	3	12	detection	detection	NOUN
cana-2864	3	13	sunil	sunil	PROPN
cana-2864	3	14	d.	d.	PROPN
cana-2864	3	15	kale1	kale1	PROPN
cana-2864	3	16	,	,	PUNCT
cana-2864	3	17	harsha	harsha	PROPN
cana-2864	3	18	a.	a.	PROPN
cana-2864	3	19	bhute2	bhute2	PROPN
cana-2864	3	20	,	,	PUNCT
cana-2864	3	21	vilas	vilas	PROPN
cana-2864	3	22	s.	s.	PROPN
cana-2864	3	23	gaikwad3	gaikwad3	PROPN
cana-2864	3	24	,	,	PUNCT
cana-2864	3	25	amol	amol	PROPN
cana-2864	3	26	v.	v.	ADP
cana-2864	3	27	patil4	patil4	PROPN
cana-2864	3	28	,	,	PUNCT
cana-2864	3	29	chetan	chetan	PROPN
cana-2864	3	30	kumar5	kumar5	PROPN
cana-2864	3	31	,	,	PUNCT
cana-2864	3	32	avinash	avinash	PROPN
cana-2864	3	33	n.	n.	PROPN
cana-2864	3	34	bhute6	bhute6	PROPN
cana-2864	4	1	1	1	NUM
cana-2864	4	2	,	,	PUNCT
cana-2864	4	3	5department	5department	NUM
cana-2864	4	4	of	of	ADP
cana-2864	4	5	computer	computer	NOUN
cana-2864	4	6	engineering	engineering	NOUN
cana-2864	4	7	&	&	CCONJ
cana-2864	4	8	information	information	PROPN
cana-2864	4	9	technology	technology	PROPN
cana-2864	4	10	,	,	PUNCT
cana-2864	4	11	veermata	veermata	PROPN
cana-2864	4	12	jijabai	jijabai	VERB
cana-2864	4	13	technological	technological	PROPN
cana-2864	4	14	institute	institute	NOUN
cana-2864	4	15	,	,	PUNCT
cana-2864	4	16	mumbai	mumbai	PROPN
cana-2864	4	17	,	,	PUNCT
cana-2864	4	18	india	india	PROPN
cana-2864	4	19	.	.	PUNCT
cana-2864	4	20	email	email	NOUN
cana-2864	4	21	:	:	PUNCT
cana-2864	4	22	1kalesunild@gmail.com	1kalesunild@gmail.com	NUM
cana-2864	4	23	,	,	PUNCT
cana-2864	4	24	5ckumar_b21@it.vjti.ac.in	5ckumar_b21@it.vjti.ac.in	NUM
cana-2864	4	25	2department	2department	NUM
cana-2864	4	26	of	of	ADP
cana-2864	4	27	information	information	NOUN
cana-2864	4	28	technology	technology	NOUN
cana-2864	4	29	,	,	PUNCT
cana-2864	4	30	pimpri	pimpri	NOUN
cana-2864	4	31	chinchwad	chinchwad	PROPN
cana-2864	4	32	college	college	PROPN
cana-2864	4	33	of	of	ADP
cana-2864	4	34	engineering	engineering	PROPN
cana-2864	4	35	,	,	PUNCT
cana-2864	4	36	pune	pune	PROPN
cana-2864	4	37	,	,	PUNCT
cana-2864	5	1	india	india	PROPN
cana-2864	5	2	.	.	PUNCT
cana-2864	5	3	email	email	NOUN
cana-2864	5	4	:	:	PUNCT
cana-2864	5	5	harsha.bhute@pccoepune.org	harsha.bhute@pccoepune.org	PROPN
cana-2864	5	6	3department	3department	NUM
cana-2864	5	7	of	of	ADP
cana-2864	5	8	information	information	NOUN
cana-2864	5	9	technology	technology	NOUN
cana-2864	5	10	,	,	PUNCT
cana-2864	5	11	trinity	trinity	PROPN
cana-2864	5	12	college	college	PROPN
cana-2864	5	13	of	of	ADP
cana-2864	5	14	engineering	engineering	NOUN
cana-2864	5	15	and	and	CCONJ
cana-2864	5	16	research	research	NOUN
cana-2864	5	17	,	,	PUNCT
cana-2864	5	18	pune	pune	PROPN
cana-2864	5	19	,	,	PUNCT
cana-2864	5	20	india	india	PROPN
cana-2864	5	21	.	.	PUNCT
cana-2864	5	22	email	email	NOUN
cana-2864	5	23	:	:	PUNCT
cana-2864	6	1	vilasgaikwad11@gmail.com	vilasgaikwad11@gmail.com	X
cana-2864	6	2	4department	4department	NUM
cana-2864	6	3	of	of	ADP
cana-2864	6	4	computer	computer	NOUN
cana-2864	6	5	science	science	PROPN
cana-2864	6	6	&	&	CCONJ
cana-2864	6	7	engineering	engineering	PROPN
cana-2864	6	8	(	(	PUNCT
cana-2864	6	9	artificial	artificial	ADJ
cana-2864	6	10	intelligence	intelligence	NOUN
cana-2864	6	11	)	)	PUNCT
cana-2864	6	12	,	,	PUNCT
cana-2864	6	13	vishwakarma	vishwakarma	PROPN
cana-2864	6	14	institute	institute	PROPN
cana-2864	6	15	of	of	ADP
cana-2864	6	16	technology	technology	PROPN
cana-2864	6	17	,	,	PUNCT
cana-2864	6	18	pune	pune	PROPN
cana-2864	6	19	,	,	PUNCT
cana-2864	6	20	india	india	PROPN
cana-2864	6	21	.	.	PUNCT
cana-2864	6	22	email	email	NOUN
cana-2864	6	23	:	:	PUNCT
cana-2864	6	24	amol321p@gmail.com	amol321p@gmail.com	X
cana-2864	6	25	6department	6department	NUM
cana-2864	6	26	of	of	ADP
cana-2864	6	27	computer	computer	NOUN
cana-2864	6	28	engineering	engineering	NOUN
cana-2864	6	29	,	,	PUNCT
cana-2864	6	30	pimpri	pimpri	NOUN
cana-2864	6	31	chinchwad	chinchwad	PROPN
cana-2864	6	32	college	college	PROPN
cana-2864	6	33	of	of	ADP
cana-2864	6	34	engineering	engineering	PROPN
cana-2864	6	35	,	,	PUNCT
cana-2864	6	36	pune	pune	PROPN
cana-2864	6	37	,	,	PUNCT
cana-2864	6	38	india	india	PROPN
cana-2864	6	39	.	.	PUNCT
cana-2864	6	40	email	email	NOUN
cana-2864	6	41	:	:	PUNCT
cana-2864	6	42	avinash.bhute@pccoepune.org	avinash.bhute@pccoepune.org	ADJ
cana-2864	6	43	article	article	NOUN
cana-2864	6	44	history	history	NOUN
cana-2864	6	45	:	:	PUNCT
cana-2864	6	46	received	receive	VERB
cana-2864	6	47	:	:	PUNCT
cana-2864	6	48	28	28	NUM
cana-2864	6	49	-	-	SYM
cana-2864	6	50	09	09	NUM
cana-2864	6	51	-	-	PUNCT
cana-2864	6	52	2024	2024	NUM
cana-2864	6	53	revised	revise	VERB
cana-2864	6	54	:	:	PUNCT
cana-2864	6	55	27	27	NUM
cana-2864	6	56	-	-	SYM
cana-2864	6	57	11	11	NUM
cana-2864	6	58	-	-	PUNCT
cana-2864	6	59	2024	2024	NUM
cana-2864	6	60	accepted	accept	VERB
cana-2864	6	61	:	:	PUNCT
cana-2864	6	62	08	08	NUM
cana-2864	6	63	-	-	SYM
cana-2864	6	64	12	12	NUM
cana-2864	6	65	-	-	PUNCT
cana-2864	6	66	2024	2024	NUM
cana-2864	6	67	abstract	abstract	NOUN
cana-2864	6	68	:	:	PUNCT
cana-2864	6	69	this	this	DET
cana-2864	6	70	paper	paper	NOUN
cana-2864	6	71	proposes	propose	VERB
cana-2864	6	72	the	the	DET
cana-2864	6	73	maximum	maximum	ADJ
cana-2864	6	74	achievable	achievable	ADJ
cana-2864	6	75	solution	solution	NOUN
cana-2864	6	76	to	to	ADP
cana-2864	6	77	the	the	DET
cana-2864	6	78	diagnosis	diagnosis	NOUN
cana-2864	6	79	of	of	ADP
cana-2864	6	80	leaf	leaf	NOUN
cana-2864	6	81	diseases	disease	NOUN
cana-2864	6	82	by	by	ADP
cana-2864	6	83	employing	employ	VERB
cana-2864	6	84	deep	deep	ADJ
cana-2864	6	85	learning	learning	NOUN
cana-2864	6	86	and	and	CCONJ
cana-2864	6	87	image	image	NOUN
cana-2864	6	88	enhancement	enhancement	NOUN
cana-2864	6	89	tools	tool	NOUN
cana-2864	6	90	.	.	PUNCT
cana-2864	7	1	a	a	DET
cana-2864	7	2	hybrid	hybrid	NOUN
cana-2864	7	3	model	model	NOUN
cana-2864	7	4	has	have	AUX
cana-2864	7	5	been	be	AUX
cana-2864	7	6	developed	develop	VERB
cana-2864	7	7	,	,	PUNCT
cana-2864	7	8	with	with	ADP
cana-2864	7	9	the	the	DET
cana-2864	7	10	architectures	architecture	NOUN
cana-2864	7	11	using	use	VERB
cana-2864	7	12	xception	xception	PROPN
cana-2864	7	13	and	and	CCONJ
cana-2864	7	14	densenet121	densenet121	PROPN
cana-2864	7	15	,	,	PUNCT
cana-2864	7	16	to	to	PART
cana-2864	7	17	classify	classify	VERB
cana-2864	7	18	leaves	leave	NOUN
cana-2864	7	19	into	into	ADP
cana-2864	7	20	four	four	NUM
cana-2864	7	21	groups	group	NOUN
cana-2864	7	22	as	as	ADV
cana-2864	7	23	healthy	healthy	ADJ
cana-2864	7	24	,	,	PUNCT
cana-2864	7	25	diseased	diseased	ADJ
cana-2864	7	26	,	,	PUNCT
cana-2864	7	27	rusty	rusty	ADJ
cana-2864	7	28	,	,	PUNCT
cana-2864	7	29	and	and	CCONJ
cana-2864	7	30	scab	scab	NOUN
cana-2864	7	31	.	.	PUNCT
cana-2864	8	1	the	the	DET
cana-2864	8	2	model	model	NOUN
cana-2864	8	3	is	be	AUX
cana-2864	8	4	trained	train	VERB
cana-2864	8	5	using	use	VERB
cana-2864	8	6	many	many	ADJ
cana-2864	8	7	different	different	ADJ
cana-2864	8	8	datasets	dataset	NOUN
cana-2864	8	9	of	of	ADP
cana-2864	8	10	plant	plant	NOUN
cana-2864	8	11	leaf	leaf	NOUN
cana-2864	8	12	images	image	NOUN
cana-2864	8	13	.	.	PUNCT
cana-2864	9	1	the	the	DET
cana-2864	9	2	result	result	NOUN
cana-2864	9	3	is	be	AUX
cana-2864	9	4	enhanced	enhance	VERB
cana-2864	9	5	using	use	VERB
cana-2864	9	6	data	datum	NOUN
cana-2864	9	7	augmentation	augmentation	NOUN
cana-2864	9	8	techniques	technique	NOUN
cana-2864	9	9	to	to	PART
cana-2864	9	10	improve	improve	VERB
cana-2864	9	11	the	the	DET
cana-2864	9	12	robustness	robustness	NOUN
cana-2864	9	13	and	and	CCONJ
cana-2864	9	14	generalization	generalization	NOUN
cana-2864	9	15	of	of	ADP
cana-2864	9	16	the	the	DET
cana-2864	9	17	model	model	NOUN
cana-2864	9	18	.	.	PUNCT
cana-2864	10	1	we	we	PRON
cana-2864	10	2	program	program	VERB
cana-2864	10	3	and	and	CCONJ
cana-2864	10	4	adopt	adopt	VERB
cana-2864	10	5	a	a	DET
cana-2864	10	6	method	method	NOUN
cana-2864	10	7	to	to	PART
cana-2864	10	8	use	use	VERB
cana-2864	10	9	the	the	DET
cana-2864	10	10	xception	xception	NOUN
cana-2864	10	11	and	and	CCONJ
cana-2864	10	12	densenet121	densenet121	PROPN
cana-2864	10	13	models	model	NOUN
cana-2864	10	14	.	.	PUNCT
cana-2864	11	1	the	the	DET
cana-2864	11	2	combination	combination	NOUN
cana-2864	11	3	model	model	NOUN
cana-2864	11	4	was	be	AUX
cana-2864	11	5	trained	train	VERB
cana-2864	11	6	under	under	ADP
cana-2864	11	7	a	a	DET
cana-2864	11	8	10	10	NUM
cana-2864	11	9	-	-	PUNCT
cana-2864	11	10	cycle	cycle	NOUN
cana-2864	11	11	training	training	NOUN
cana-2864	11	12	program	program	NOUN
cana-2864	11	13	,	,	PUNCT
cana-2864	11	14	which	which	PRON
cana-2864	11	15	is	be	AUX
cana-2864	11	16	broken	break	VERB
cana-2864	11	17	down	down	ADP
cana-2864	11	18	into	into	ADP
cana-2864	11	19	development	development	NOUN
cana-2864	11	20	,	,	PUNCT
cana-2864	11	21	maintenance	maintenance	NOUN
cana-2864	11	22	,	,	PUNCT
cana-2864	11	23	and	and	CCONJ
cana-2864	11	24	perturbation	perturbation	NOUN
cana-2864	11	25	.	.	PUNCT
cana-2864	12	1	other	other	ADJ
cana-2864	12	2	criteria	criterion	NOUN
cana-2864	12	3	to	to	PART
cana-2864	12	4	assess	assess	VERB
cana-2864	12	5	our	our	PRON
cana-2864	12	6	method	method	NOUN
cana-2864	12	7	's	's	PART
cana-2864	12	8	performance	performance	NOUN
cana-2864	12	9	include	include	VERB
cana-2864	12	10	accuracy	accuracy	NOUN
cana-2864	12	11	,	,	PUNCT
cana-2864	12	12	loss	loss	NOUN
cana-2864	12	13	,	,	PUNCT
cana-2864	12	14	and	and	CCONJ
cana-2864	12	15	validation	validation	NOUN
cana-2864	12	16	scores	score	NOUN
cana-2864	12	17	.	.	PUNCT
cana-2864	13	1	the	the	DET
cana-2864	13	2	results	result	NOUN
cana-2864	13	3	will	will	AUX
cana-2864	13	4	depict	depict	VERB
cana-2864	13	5	the	the	DET
cana-2864	13	6	possibility	possibility	NOUN
cana-2864	13	7	of	of	ADP
cana-2864	13	8	our	our	PRON
cana-2864	13	9	method	method	NOUN
cana-2864	13	10	for	for	ADP
cana-2864	13	11	early	early	ADJ
cana-2864	13	12	plant	plant	NOUN
cana-2864	13	13	diseases	disease	NOUN
cana-2864	13	14	detection	detection	NOUN
cana-2864	13	15	that	that	PRON
cana-2864	13	16	can	can	AUX
cana-2864	13	17	impact	impact	VERB
cana-2864	13	18	agriculture	agriculture	NOUN
cana-2864	13	19	through	through	ADP
cana-2864	13	20	the	the	DET
cana-2864	13	21	timely	timely	ADJ
cana-2864	13	22	intervention	intervention	NOUN
cana-2864	13	23	process	process	NOUN
cana-2864	13	24	.	.	PUNCT
cana-2864	14	1	overall	overall	ADJ
cana-2864	14	2	accuracy	accuracy	NOUN
cana-2864	14	3	achieved	achieve	VERB
cana-2864	14	4	is	be	AUX
cana-2864	14	5	93.70	93.70	NUM
cana-2864	14	6	%	%	NOUN
cana-2864	14	7	our	our	PRON
cana-2864	14	8	research	research	NOUN
cana-2864	14	9	contributes	contribute	VERB
cana-2864	14	10	to	to	ADP
cana-2864	14	11	the	the	DET
cana-2864	14	12	exploration	exploration	NOUN
cana-2864	14	13	since	since	SCONJ
cana-2864	14	14	the	the	DET
cana-2864	14	15	use	use	NOUN
cana-2864	14	16	of	of	ADP
cana-2864	14	17	techniques	technique	NOUN
cana-2864	14	18	in	in	ADP
cana-2864	14	19	crop	crop	NOUN
cana-2864	14	20	management	management	NOUN
cana-2864	14	21	and	and	CCONJ
cana-2864	14	22	the	the	DET
cana-2864	14	23	control	control	NOUN
cana-2864	14	24	of	of	ADP
cana-2864	14	25	diseases	disease	NOUN
cana-2864	14	26	may	may	AUX
cana-2864	14	27	increase	increase	VERB
cana-2864	14	28	yields	yield	NOUN
cana-2864	14	29	and	and	CCONJ
cana-2864	14	30	reduce	reduce	VERB
cana-2864	14	31	the	the	DET
cana-2864	14	32	use	use	NOUN
cana-2864	14	33	of	of	ADP
cana-2864	14	34	pesticides	pesticide	NOUN
cana-2864	14	35	,	,	PUNCT
cana-2864	14	36	thus	thus	ADV
cana-2864	14	37	the	the	DET
cana-2864	14	38	extension	extension	NOUN
cana-2864	14	39	of	of	ADP
cana-2864	14	40	precision	precision	NOUN
cana-2864	14	41	agriculture	agriculture	NOUN
cana-2864	14	42	.	.	PUNCT
cana-2864	15	1	keywords	keyword	NOUN
cana-2864	15	2	:	:	PUNCT
cana-2864	15	3	plant	plant	NOUN
cana-2864	15	4	disease	disease	NOUN
cana-2864	15	5	detection	detection	NOUN
cana-2864	15	6	,	,	PUNCT
cana-2864	15	7	deep	deep	ADJ
cana-2864	15	8	learning	learning	NOUN
cana-2864	15	9	,	,	PUNCT
cana-2864	15	10	ensemble	ensemble	ADJ
cana-2864	15	11	model	model	NOUN
cana-2864	15	12	,	,	PUNCT
cana-2864	15	13	xception	xception	PROPN
cana-2864	15	14	,	,	PUNCT
cana-2864	15	15	densenet121	densenet121	PROPN
cana-2864	15	16	,	,	PUNCT
cana-2864	15	17	image	image	NOUN
cana-2864	15	18	augmentation	augmentation	NOUN
cana-2864	15	19	,	,	PUNCT
cana-2864	15	20	precision	precision	NOUN
cana-2864	15	21	agriculture	agriculture	NOUN
cana-2864	15	22	.	.	PUNCT
cana-2864	16	1	1	1	X
cana-2864	16	2	.	.	X
cana-2864	16	3	introduction	introduction	NOUN
cana-2864	16	4	plant	plant	NOUN
cana-2864	16	5	diseases	disease	NOUN
cana-2864	16	6	threaten	threaten	VERB
cana-2864	16	7	world	world	NOUN
cana-2864	16	8	agriculture	agriculture	NOUN
cana-2864	16	9	by	by	ADP
cana-2864	16	10	losing	lose	VERB
cana-2864	16	11	massive	massive	ADJ
cana-2864	16	12	crops	crop	NOUN
cana-2864	16	13	and	and	CCONJ
cana-2864	16	14	,	,	PUNCT
cana-2864	16	15	thus	thus	ADV
cana-2864	16	16	,	,	PUNCT
cana-2864	16	17	endangering	endanger	VERB
cana-2864	16	18	food	food	NOUN
cana-2864	16	19	security	security	NOUN
cana-2864	16	20	worldwide	worldwide	ADV
cana-2864	16	21	.	.	PUNCT
cana-2864	17	1	to	to	PART
cana-2864	17	2	effectively	effectively	ADV
cana-2864	17	3	control	control	VERB
cana-2864	17	4	and	and	CCONJ
cana-2864	17	5	avoid	avoid	VERB
cana-2864	17	6	loss	loss	NOUN
cana-2864	17	7	to	to	ADP
cana-2864	17	8	crops	crop	NOUN
cana-2864	17	9	,	,	PUNCT
cana-2864	17	10	it	it	PRON
cana-2864	17	11	requires	require	VERB
cana-2864	17	12	timely	timely	ADJ
cana-2864	17	13	and	and	CCONJ
cana-2864	17	14	accurate	accurate	ADJ
cana-2864	17	15	diagnose	diagnose	NOUN
cana-2864	17	16	tic	tic	ADJ
cana-2864	17	17	methods	method	NOUN
cana-2864	17	18	of	of	ADP
cana-2864	17	19	plant	plant	NOUN
cana-2864	17	20	diseases	disease	NOUN
cana-2864	17	21	.	.	PUNCT
cana-2864	18	1	conventional	conventional	ADJ
cana-2864	18	2	methods	method	NOUN
cana-2864	18	3	of	of	ADP
cana-2864	18	4	diagnosis	diagnosis	NOUN
cana-2864	18	5	depend	depend	VERB
cana-2864	18	6	on	on	ADP
cana-2864	18	7	highly	highly	ADV
cana-2864	18	8	skilled	skilled	ADJ
cana-2864	18	9	experts	expert	NOUN
cana-2864	18	10	,	,	PUNCT
cana-2864	18	11	which	which	PRON
cana-2864	18	12	takes	take	VERB
cana-2864	18	13	time	time	NOUN
cana-2864	18	14	and	and	CCONJ
cana-2864	18	15	is	be	AUX
cana-2864	18	16	labour	labour	NOUN
cana-2864	18	17	-	-	PUNCT
cana-2864	18	18	intensive	intensive	ADJ
cana-2864	18	19	,	,	PUNCT
cana-2864	18	20	and	and	CCONJ
cana-2864	18	21	more	more	ADV
cana-2864	18	22	importantly	importantly	ADV
cana-2864	18	23	,	,	PUNCT
cana-2864	18	24	subject	subject	ADJ
cana-2864	18	25	to	to	ADP
cana-2864	18	26	human	human	ADJ
cana-2864	18	27	error	error	NOUN
cana-2864	18	28	.	.	PUNCT
cana-2864	19	1	newer	new	ADJ
cana-2864	19	2	methods	method	NOUN
cana-2864	19	3	to	to	PART
cana-2864	19	4	detect	detect	VERB
cana-2864	19	5	diseases	disease	NOUN
cana-2864	19	6	in	in	ADP
cana-2864	19	7	plants	plant	NOUN
cana-2864	19	8	.	.	PUNCT
cana-2864	20	1	these	these	DET
cana-2864	20	2	technologies	technology	NOUN
cana-2864	20	3	will	will	AUX
cana-2864	20	4	be	be	AUX
cana-2864	20	5	used	use	VERB
cana-2864	20	6	in	in	ADP
cana-2864	20	7	this	this	DET
cana-2864	20	8	paper	paper	NOUN
cana-2864	20	9	to	to	PART
cana-2864	20	10	create	create	VERB
cana-2864	20	11	a	a	DET
cana-2864	20	12	highly	highly	ADV
cana-2864	20	13	efficient	efficient	ADJ
cana-2864	20	14	and	and	CCONJ
cana-2864	20	15	mailto:harsha.bhute@pccoepune.org	mailto:harsha.bhute@pccoepune.org	ADJ
cana-2864	20	16	communications	communication	NOUN
cana-2864	20	17	on	on	ADP
cana-2864	20	18	applied	apply	VERB
cana-2864	20	19	nonlinear	nonlinear	ADJ
cana-2864	20	20	analysis	analysis	NOUN
cana-2864	20	21	issn	issn	NOUN
cana-2864	20	22	:	:	PUNCT
cana-2864	20	23	1074	1074	NUM
cana-2864	20	24	-	-	PUNCT
cana-2864	20	25	133x	133x	NUM
cana-2864	20	26	vol	vol	NOUN
cana-2864	20	27	32	32	NUM
cana-2864	20	28	no	no	NOUN
cana-2864	20	29	.	.	PUNCT
cana-2864	21	1	4s	4s	NUM
cana-2864	21	2	(	(	PUNCT
cana-2864	21	3	2025	2025	NUM
cana-2864	21	4	)	)	PUNCT
cana-2864	21	5	460	460	NUM
cana-2864	22	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	22	2	accurate	accurate	ADJ
cana-2864	22	3	method	method	NOUN
cana-2864	22	4	for	for	ADP
cana-2864	22	5	the	the	DET
cana-2864	22	6	detection	detection	NOUN
cana-2864	22	7	of	of	ADP
cana-2864	22	8	foliar	foliar	ADJ
cana-2864	22	9	diseases	disease	NOUN
cana-2864	22	10	.	.	PUNCT
cana-2864	23	1	our	our	PRON
cana-2864	23	2	strategy	strategy	NOUN
cana-2864	23	3	emphasized	emphasize	VERB
cana-2864	23	4	categorizing	categorize	VERB
cana-2864	23	5	leaves	leave	NOUN
cana-2864	23	6	into	into	ADP
cana-2864	23	7	four	four	NUM
cana-2864	23	8	categories	category	NOUN
cana-2864	23	9	:	:	PUNCT
cana-2864	23	10	healthy	healthy	ADJ
cana-2864	23	11	,	,	PUNCT
cana-2864	23	12	miscellaneous	miscellaneous	ADJ
cana-2864	23	13	,	,	PUNCT
cana-2864	23	14	rust	rust	NOUN
cana-2864	23	15	,	,	PUNCT
cana-2864	23	16	and	and	CCONJ
cana-2864	23	17	scratches	scratch	NOUN
cana-2864	23	18	.	.	PUNCT
cana-2864	24	1	these	these	DET
cana-2864	24	2	groups	group	NOUN
cana-2864	24	3	of	of	ADP
cana-2864	24	4	conditions	condition	NOUN
cana-2864	24	5	cross	cross	VERB
cana-2864	24	6	a	a	DET
cana-2864	24	7	myriad	myriad	NOUN
cana-2864	24	8	of	of	ADP
cana-2864	24	9	species	specie	NOUN
cana-2864	24	10	of	of	ADP
cana-2864	24	11	crops	crop	NOUN
cana-2864	24	12	and	and	CCONJ
cana-2864	24	13	hold	hold	VERB
cana-2864	24	14	significant	significant	ADJ
cana-2864	24	15	financial	financial	ADJ
cana-2864	24	16	implications	implication	NOUN
cana-2864	24	17	for	for	ADP
cana-2864	24	18	farmers	farmer	NOUN
cana-2864	24	19	and	and	CCONJ
cana-2864	24	20	agriculture	agriculture	NOUN
cana-2864	24	21	.	.	PUNCT
cana-2864	25	1	disease	disease	NOUN
cana-2864	25	2	diagnosis	diagnosis	NOUN
cana-2864	25	3	to	to	PART
cana-2864	25	4	provide	provide	VERB
cana-2864	25	5	early	early	ADJ
cana-2864	25	6	diagnosis	diagnosis	NOUN
cana-2864	25	7	and	and	CCONJ
cana-2864	25	8	minimize	minimize	VERB
cana-2864	25	9	crop	crop	NOUN
cana-2864	25	10	losses	loss	NOUN
cana-2864	25	11	.	.	PUNCT
cana-2864	26	1	and	and	CCONJ
cana-2864	26	2	reduce	reduce	VERB
cana-2864	26	3	the	the	DET
cana-2864	26	4	environmental	environmental	ADJ
cana-2864	26	5	impacts	impact	NOUN
cana-2864	26	6	.	.	PUNCT
cana-2864	27	1	this	this	PRON
cana-2864	27	2	allows	allow	VERB
cana-2864	27	3	us	we	PRON
cana-2864	27	4	to	to	PART
cana-2864	27	5	draw	draw	VERB
cana-2864	27	6	on	on	ADP
cana-2864	27	7	the	the	DET
cana-2864	27	8	strengths	strength	NOUN
cana-2864	27	9	of	of	ADP
cana-2864	27	10	individual	individual	ADJ
cana-2864	27	11	models	model	NOUN
cana-2864	27	12	which	which	PRON
cana-2864	27	13	can	can	AUX
cana-2864	27	14	then	then	ADV
cana-2864	27	15	contribute	contribute	VERB
cana-2864	27	16	to	to	ADP
cana-2864	27	17	greater	great	ADJ
cana-2864	27	18	precision	precision	NOUN
cana-2864	27	19	and	and	CCONJ
cana-2864	27	20	power	power	NOUN
cana-2864	27	21	.	.	PUNCT
cana-2864	28	1	our	our	PRON
cana-2864	28	2	model	model	NOUN
cana-2864	28	3	has	have	AUX
cana-2864	28	4	been	be	AUX
cana-2864	28	5	trained	train	VERB
cana-2864	28	6	on	on	ADP
cana-2864	28	7	a	a	DET
cana-2864	28	8	variety	variety	NOUN
cana-2864	28	9	of	of	ADP
cana-2864	28	10	leaf	leaf	NOUN
cana-2864	28	11	image	image	NOUN
cana-2864	28	12	datasets	dataset	NOUN
cana-2864	28	13	c	c	NOUN
cana-2864	28	14	are	be	AUX
cana-2864	28	15	fully	fully	ADV
cana-2864	28	16	finetuned	finetune	VERB
cana-2864	28	17	so	so	SCONJ
cana-2864	28	18	that	that	SCONJ
cana-2864	28	19	they	they	PRON
cana-2864	28	20	address	address	VERB
cana-2864	28	21	different	different	ADJ
cana-2864	28	22	types	type	NOUN
cana-2864	28	23	of	of	ADP
cana-2864	28	24	diseases	disease	NOUN
cana-2864	28	25	and	and	CCONJ
cana-2864	28	26	health	health	NOUN
cana-2864	28	27	problems	problem	NOUN
cana-2864	28	28	.	.	PUNCT
cana-2864	29	1	technology	technology	NOUN
cana-2864	29	2	providers	provider	NOUN
cana-2864	29	3	may	may	AUX
cana-2864	29	4	use	use	VERB
cana-2864	29	5	it	it	PRON
cana-2864	29	6	,	,	PUNCT
cana-2864	29	7	at	at	ADP
cana-2864	29	8	least	least	ADJ
cana-2864	29	9	,	,	PUNCT
cana-2864	29	10	possibly	possibly	ADV
cana-2864	29	11	.	.	PUNCT
cana-2864	30	1	our	our	PRON
cana-2864	30	2	system	system	NOUN
cana-2864	30	3	,	,	PUNCT
cana-2864	30	4	being	be	AUX
cana-2864	30	5	an	an	DET
cana-2864	30	6	enabling	enable	VERB
cana-2864	30	7	tool	tool	NOUN
cana-2864	30	8	for	for	ADP
cana-2864	30	9	rapid	rapid	ADJ
cana-2864	30	10	and	and	CCONJ
cana-2864	30	11	accurate	accurate	ADJ
cana-2864	30	12	disease	disease	NOUN
cana-2864	30	13	detection	detection	NOUN
cana-2864	30	14	,	,	PUNCT
cana-2864	30	15	has	have	VERB
cana-2864	30	16	the	the	DET
cana-2864	30	17	potential	potential	NOUN
cana-2864	30	18	to	to	PART
cana-2864	30	19	reduce	reduce	VERB
cana-2864	30	20	pesticide	pesticide	NOUN
cana-2864	30	21	usage	usage	NOUN
cana-2864	30	22	and	and	CCONJ
cana-2864	30	23	enhance	enhance	VERB
cana-2864	30	24	yield	yield	NOUN
cana-2864	30	25	through	through	ADP
cana-2864	30	26	timely	timely	ADJ
cana-2864	30	27	targeted	target	VERB
cana-2864	30	28	interventions	intervention	NOUN
cana-2864	30	29	.	.	PUNCT
cana-2864	31	1	the	the	DET
cana-2864	31	2	process	process	NOUN
cana-2864	31	3	includes	include	VERB
cana-2864	31	4	data	datum	NOUN
cana-2864	31	5	preparation	preparation	NOUN
cana-2864	31	6	,	,	PUNCT
cana-2864	31	7	model	model	NOUN
cana-2864	31	8	design	design	PROPN
cana-2864	31	9	,	,	PUNCT
cana-2864	31	10	the	the	DET
cana-2864	31	11	training	training	NOUN
cana-2864	31	12	process	process	NOUN
cana-2864	31	13	,	,	PUNCT
cana-2864	31	14	and	and	CCONJ
cana-2864	31	15	evaluation	evaluation	NOUN
cana-2864	31	16	.	.	PUNCT
cana-2864	32	1	we	we	PRON
cana-2864	32	2	will	will	AUX
cana-2864	32	3	present	present	VERB
cana-2864	32	4	the	the	DET
cana-2864	32	5	results	result	NOUN
cana-2864	32	6	,	,	PUNCT
cana-2864	32	7	elaborate	elaborate	ADJ
cana-2864	32	8	on	on	ADP
cana-2864	32	9	the	the	DET
cana-2864	32	10	implications	implication	NOUN
cana-2864	32	11	drawn	draw	VERB
cana-2864	32	12	from	from	ADP
cana-2864	32	13	them	they	PRON
cana-2864	32	14	,	,	PUNCT
cana-2864	32	15	and	and	CCONJ
cana-2864	32	16	explore	explore	VERB
cana-2864	32	17	the	the	DET
cana-2864	32	18	future	future	ADJ
cana-2864	32	19	directions	direction	NOUN
cana-2864	32	20	of	of	ADP
cana-2864	32	21	this	this	DET
cana-2864	32	22	technology	technology	NOUN
cana-2864	32	23	in	in	ADP
cana-2864	32	24	precision	precision	NOUN
cana-2864	32	25	agriculture	agriculture	NOUN
cana-2864	32	26	and	and	CCONJ
cana-2864	32	27	plant	plant	NOUN
cana-2864	32	28	pathology	pathology	NOUN
cana-2864	32	29	.	.	PUNCT
cana-2864	33	1	contribute	contribute	VERB
cana-2864	33	2	to	to	ADP
cana-2864	33	3	the	the	DET
cana-2864	33	4	implementation	implementation	NOUN
cana-2864	33	5	and	and	CCONJ
cana-2864	33	6	promotion	promotion	NOUN
cana-2864	33	7	of	of	ADP
cana-2864	33	8	sustainable	sustainable	ADJ
cana-2864	33	9	agriculture	agriculture	NOUN
cana-2864	33	10	in	in	ADP
cana-2864	33	11	an	an	DET
cana-2864	33	12	era	era	NOUN
cana-2864	33	13	of	of	ADP
cana-2864	33	14	environmental	environmental	ADJ
cana-2864	33	15	competition	competition	NOUN
cana-2864	33	16	and	and	CCONJ
cana-2864	33	17	global	global	ADJ
cana-2864	33	18	food	food	NOUN
cana-2864	33	19	demand	demand	NOUN
cana-2864	33	20	.	.	PUNCT
cana-2864	34	1	it	it	PRON
cana-2864	34	2	serves	serve	VERB
cana-2864	34	3	as	as	ADP
cana-2864	34	4	a	a	DET
cana-2864	34	5	background	background	NOUN
cana-2864	34	6	for	for	ADP
cana-2864	34	7	the	the	DET
cana-2864	34	8	step	step	NOUN
cana-2864	34	9	-	-	PUNCT
cana-2864	34	10	by	by	ADP
cana-2864	34	11	-	-	PUNCT
cana-2864	34	12	step	step	NOUN
cana-2864	34	13	method	method	NOUN
cana-2864	34	14	and	and	CCONJ
cana-2864	34	15	is	be	AUX
cana-2864	34	16	part	part	NOUN
cana-2864	34	17	of	of	ADP
cana-2864	34	18	the	the	DET
cana-2864	34	19	section	section	NOUN
cana-2864	34	20	in	in	ADP
cana-2864	34	21	this	this	DET
cana-2864	34	22	article	article	NOUN
cana-2864	34	23	.	.	PUNCT
cana-2864	35	1	figure	figure	NOUN
cana-2864	35	2	1	1	NUM
cana-2864	35	3	is	be	AUX
cana-2864	35	4	the	the	DET
cana-2864	35	5	framework	framework	NOUN
cana-2864	35	6	adopted	adopt	VERB
cana-2864	35	7	for	for	ADP
cana-2864	35	8	experimentation	experimentation	NOUN
cana-2864	35	9	.	.	PUNCT
cana-2864	36	1	figure	figure	NOUN
cana-2864	36	2	1	1	NUM
cana-2864	36	3	:	:	PUNCT
cana-2864	36	4	adopted	adopt	VERB
cana-2864	36	5	framework	framework	NOUN
cana-2864	36	6	for	for	ADP
cana-2864	36	7	experimentation	experimentation	NOUN
cana-2864	36	8	plant	plant	NOUN
cana-2864	36	9	disease	disease	NOUN
cana-2864	36	10	detection	detection	NOUN
cana-2864	36	11	is	be	AUX
cana-2864	36	12	a	a	DET
cana-2864	36	13	critical	critical	ADJ
cana-2864	36	14	area	area	NOUN
cana-2864	36	15	of	of	ADP
cana-2864	36	16	research	research	NOUN
cana-2864	36	17	aimed	aim	VERB
cana-2864	36	18	at	at	ADP
cana-2864	36	19	identifying	identify	VERB
cana-2864	36	20	and	and	CCONJ
cana-2864	36	21	diagnosing	diagnose	VERB
cana-2864	36	22	diseases	disease	NOUN
cana-2864	36	23	in	in	ADP
cana-2864	36	24	plants	plant	NOUN
cana-2864	36	25	to	to	PART
cana-2864	36	26	mitigate	mitigate	VERB
cana-2864	36	27	crop	crop	NOUN
cana-2864	36	28	losses	loss	NOUN
cana-2864	36	29	and	and	CCONJ
cana-2864	36	30	enhance	enhance	VERB
cana-2864	36	31	food	food	NOUN
cana-2864	36	32	security	security	NOUN
cana-2864	36	33	.	.	PUNCT
cana-2864	37	1	here	here	ADV
cana-2864	37	2	are	be	AUX
cana-2864	37	3	some	some	DET
cana-2864	37	4	basic	basic	ADJ
cana-2864	37	5	details	detail	NOUN
cana-2864	37	6	about	about	ADP
cana-2864	37	7	the	the	DET
cana-2864	37	8	field	field	NOUN
cana-2864	37	9	:	:	PUNCT
cana-2864	37	10	importance	importance	NOUN
cana-2864	37	11	of	of	ADP
cana-2864	37	12	plant	plant	NOUN
cana-2864	37	13	disease	disease	NOUN
cana-2864	37	14	detection	detection	NOUN
cana-2864	37	15	:	:	PUNCT
cana-2864	37	16	•	•	NUM
cana-2864	37	17	threat	threat	NOUN
cana-2864	37	18	to	to	ADP
cana-2864	37	19	agriculture	agriculture	NOUN
cana-2864	37	20	:	:	PUNCT
cana-2864	37	21	plant	plant	NOUN
cana-2864	37	22	diseases	disease	NOUN
cana-2864	37	23	can	can	AUX
cana-2864	37	24	bring	bring	VERB
cana-2864	37	25	huge	huge	ADJ
cana-2864	37	26	losses	loss	NOUN
cana-2864	37	27	in	in	ADP
cana-2864	37	28	crops	crop	NOUN
cana-2864	37	29	,	,	PUNCT
cana-2864	37	30	thus	thus	ADV
cana-2864	37	31	affecting	affect	VERB
cana-2864	37	32	food	food	NOUN
cana-2864	37	33	supplies	supply	NOUN
cana-2864	37	34	and	and	CCONJ
cana-2864	37	35	sustainability	sustainability	NOUN
cana-2864	37	36	in	in	ADP
cana-2864	37	37	agriculture	agriculture	NOUN
cana-2864	37	38	.	.	PUNCT
cana-2864	38	1	•	•	NUM
cana-2864	38	2	early	early	ADJ
cana-2864	38	3	diagnosis	diagnosis	NOUN
cana-2864	38	4	:	:	PUNCT
cana-2864	38	5	better	well	ADJ
cana-2864	38	6	management	management	NOUN
cana-2864	38	7	and	and	CCONJ
cana-2864	38	8	prevention	prevention	NOUN
cana-2864	38	9	against	against	ADP
cana-2864	38	10	damage	damage	NOUN
cana-2864	38	11	to	to	ADP
cana-2864	38	12	crops	crop	NOUN
cana-2864	38	13	require	require	VERB
cana-2864	38	14	early	early	ADV
cana-2864	38	15	an	an	DET
cana-2864	38	16	d	d	NOUN
cana-2864	38	17	proper	proper	ADJ
cana-2864	38	18	diagnosis	diagnosis	NOUN
cana-2864	38	19	.	.	PUNCT
cana-2864	39	1	traditional	traditional	ADJ
cana-2864	39	2	vs.	vs.	X
cana-2864	39	3	modern	modern	ADJ
cana-2864	39	4	techniques	technique	NOUN
cana-2864	39	5	:	:	PUNCT
cana-2864	39	6	traditional	traditional	ADJ
cana-2864	39	7	methods	method	NOUN
cana-2864	39	8	:	:	PUNCT
cana-2864	39	9	traditionally	traditionally	ADV
cana-2864	39	10	,	,	PUNCT
cana-2864	39	11	plant	plant	NOUN
cana-2864	39	12	disease	disease	NOUN
cana-2864	39	13	diagnosis	diagnosis	NOUN
cana-2864	39	14	relied	rely	VERB
cana-2864	39	15	on	on	ADP
cana-2864	39	16	specialist	specialist	ADJ
cana-2864	39	17	knowledge	knowledge	NOUN
cana-2864	39	18	and	and	CCONJ
cana-2864	39	19	observation	observation	NOUN
cana-2864	39	20	which	which	PRON
cana-2864	39	21	can	can	AUX
cana-2864	39	22	sometimes	sometimes	ADV
cana-2864	39	23	be	be	AUX
cana-2864	39	24	the	the	DET
cana-2864	39	25	time	time	NOUN
cana-2864	39	26	-	-	PUNCT
cana-2864	39	27	consuming	consume	VERB
cana-2864	39	28	process	process	NOUN
cana-2864	39	29	and	and	CCONJ
cana-2864	39	30	very	very	ADV
cana-2864	39	31	susceptible	susceptible	ADJ
cana-2864	39	32	to	to	ADP
cana-2864	39	33	human	human	ADJ
cana-2864	39	34	error	error	NOUN
cana-2864	39	35	.	.	PUNCT
cana-2864	40	1	•	•	NUM
cana-2864	40	2	contemporary	contemporary	ADJ
cana-2864	40	3	methods	method	NOUN
cana-2864	40	4	:	:	PUNCT
cana-2864	40	5	in	in	ADP
cana-2864	40	6	the	the	DET
cana-2864	40	7	last	last	ADJ
cana-2864	40	8	decade	decade	NOUN
cana-2864	40	9	,	,	PUNCT
cana-2864	40	10	many	many	ADJ
cana-2864	40	11	concepts	concept	NOUN
cana-2864	40	12	of	of	ADP
cana-2864	40	13	machine	machine	NOUN
cana-2864	40	14	learning	learning	NOUN
cana-2864	40	15	and	and	CCONJ
cana-2864	40	16	deep	deep	ADJ
cana-2864	40	17	learning	learning	NOUN
cana-2864	40	18	have	have	AUX
cana-2864	40	19	been	be	AUX
cana-2864	40	20	used	use	VERB
cana-2864	40	21	to	to	PART
cana-2864	40	22	automate	automate	VERB
cana-2864	40	23	the	the	DET
cana-2864	40	24	detection	detection	NOUN
cana-2864	40	25	process	process	NOUN
cana-2864	40	26	.	.	PUNCT
cana-2864	41	1	key	key	ADJ
cana-2864	41	2	technologies	technology	NOUN
cana-2864	41	3	:	:	PUNCT
cana-2864	41	4	communications	communication	NOUN
cana-2864	41	5	on	on	ADP
cana-2864	41	6	applied	apply	VERB
cana-2864	41	7	nonlinear	nonlinear	ADJ
cana-2864	41	8	analysis	analysis	NOUN
cana-2864	41	9	issn	issn	NOUN
cana-2864	41	10	:	:	PUNCT
cana-2864	41	11	1074	1074	NUM
cana-2864	41	12	-	-	PUNCT
cana-2864	41	13	133x	133x	NUM
cana-2864	41	14	vol	vol	NOUN
cana-2864	41	15	32	32	NUM
cana-2864	41	16	no	no	NOUN
cana-2864	41	17	.	.	PUNCT
cana-2864	42	1	4s	4s	NUM
cana-2864	42	2	(	(	PUNCT
cana-2864	42	3	2025	2025	NUM
cana-2864	42	4	)	)	PUNCT
cana-2864	42	5	461	461	NUM
cana-2864	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	42	7	1	1	X
cana-2864	42	8	.	.	PUNCT
cana-2864	42	9	machine	machine	NOUN
cana-2864	42	10	learning	learning	NOUN
cana-2864	42	11	:	:	PUNCT
cana-2864	42	12	in	in	ADP
cana-2864	42	13	the	the	DET
cana-2864	42	14	pilot	pilot	NOUN
cana-2864	42	15	experiments	experiment	NOUN
cana-2864	42	16	,	,	PUNCT
cana-2864	42	17	classification	classification	NOUN
cana-2864	42	18	was	be	AUX
cana-2864	42	19	done	do	VERB
cana-2864	42	20	using	use	VERB
cana-2864	42	21	a	a	DET
cana-2864	42	22	traditional	traditional	ADJ
cana-2864	42	23	algorithm	algorithm	NOUN
cana-2864	42	24	of	of	ADP
cana-2864	42	25	svm	svm	ADJ
cana-2864	42	26	and	and	CCONJ
cana-2864	42	27	random	random	ADJ
cana-2864	42	28	forests	forest	NOUN
cana-2864	42	29	.	.	PUNCT
cana-2864	43	1	2	2	X
cana-2864	43	2	.	.	X
cana-2864	43	3	deep	deep	ADJ
cana-2864	43	4	learning	learning	NOUN
cana-2864	43	5	:	:	PUNCT
cana-2864	43	6	while	while	SCONJ
cana-2864	43	7	cnns	cnn	NOUN
cana-2864	43	8	were	be	AUX
cana-2864	43	9	proposed	propose	VERB
cana-2864	43	10	,	,	PUNCT
cana-2864	43	11	the	the	DET
cana-2864	43	12	capability	capability	NOUN
cana-2864	43	13	of	of	ADP
cana-2864	43	14	such	such	ADJ
cana-2864	43	15	models	model	NOUN
cana-2864	43	16	to	to	PART
cana-2864	43	17	learn	learn	VERB
cana-2864	43	18	automatically	automatically	ADV
cana-2864	43	19	what	what	PRON
cana-2864	43	20	features	feature	NOUN
cana-2864	43	21	appear	appear	VERB
cana-2864	43	22	in	in	ADP
cana-2864	43	23	images	image	NOUN
cana-2864	43	24	was	be	AUX
cana-2864	43	25	revolutionary	revolutionary	ADJ
cana-2864	43	26	,	,	PUNCT
cana-2864	43	27	and	and	CCONJ
cana-2864	43	28	architectures	architecture	NOUN
cana-2864	43	29	such	such	ADJ
cana-2864	43	30	as	as	ADP
cana-2864	43	31	xception	xception	PROPN
cana-2864	43	32	and	and	CCONJ
cana-2864	43	33	densenet121	densenet121	PROPN
cana-2864	43	34	presented	present	VERB
cana-2864	43	35	promising	promising	ADJ
cana-2864	43	36	classifications	classification	NOUN
cana-2864	43	37	for	for	ADP
cana-2864	43	38	plant	plant	NOUN
cana-2864	43	39	diseases	disease	NOUN
cana-2864	43	40	.	.	PUNCT
cana-2864	44	1	3	3	X
cana-2864	44	2	.	.	X
cana-2864	44	3	data	datum	NOUN
cana-2864	44	4	augmentation	augmentation	NOUN
cana-2864	44	5	:	:	PUNCT
cana-2864	44	6	techniques	technique	NOUN
cana-2864	44	7	like	like	ADP
cana-2864	44	8	rotation	rotation	NOUN
cana-2864	44	9	,	,	PUNCT
cana-2864	44	10	zooming	zooming	NOUN
cana-2864	44	11	,	,	PUNCT
cana-2864	44	12	and	and	CCONJ
cana-2864	44	13	flipping	flip	VERB
cana-2864	44	14	images	image	NOUN
cana-2864	44	15	during	during	ADP
cana-2864	44	16	training	training	NOUN
cana-2864	44	17	help	help	NOUN
cana-2864	44	18	improve	improve	VERB
cana-2864	44	19	model	model	NOUN
cana-2864	44	20	robustness	robustness	NOUN
cana-2864	44	21	by	by	ADP
cana-2864	44	22	creating	create	VERB
cana-2864	44	23	diverse	diverse	ADJ
cana-2864	44	24	training	training	NOUN
cana-2864	44	25	datasets	dataset	NOUN
cana-2864	44	26	.	.	PUNCT
cana-2864	45	1	2	2	X
cana-2864	45	2	.	.	X
cana-2864	45	3	related	relate	VERB
cana-2864	45	4	work	work	NOUN
cana-2864	45	5	this	this	DET
cana-2864	45	6	period	period	NOUN
cana-2864	45	7	(	(	PUNCT
cana-2864	45	8	present	present	ADJ
cana-2864	45	9	)	)	PUNCT
cana-2864	45	10	has	have	AUX
cana-2864	45	11	also	also	ADV
cana-2864	45	12	been	be	AUX
cana-2864	45	13	characterized	characterize	VERB
cana-2864	45	14	by	by	ADP
cana-2864	45	15	radical	radical	ADJ
cana-2864	45	16	applications	application	NOUN
cana-2864	45	17	of	of	ADP
cana-2864	45	18	both	both	DET
cana-2864	45	19	techniques	technique	NOUN
cana-2864	45	20	in	in	ADP
cana-2864	45	21	the	the	DET
cana-2864	45	22	detection	detection	NOUN
cana-2864	45	23	of	of	ADP
cana-2864	45	24	plant	plant	NOUN
cana-2864	45	25	diseases	disease	NOUN
cana-2864	45	26	.	.	PUNCT
cana-2864	46	1	computer	computer	NOUN
cana-2864	46	2	-	-	PUNCT
cana-2864	46	3	aided	aid	VERB
cana-2864	46	4	diagnosis	diagnosis	NOUN
cana-2864	46	5	of	of	ADP
cana-2864	46	6	plant	plant	NOUN
cana-2864	46	7	diseases	disease	NOUN
cana-2864	46	8	had	have	AUX
cana-2864	46	9	been	be	AUX
cana-2864	46	10	researched	research	VERB
cana-2864	46	11	since	since	SCONJ
cana-2864	46	12	the	the	DET
cana-2864	46	13	early	early	ADJ
cana-2864	46	14	2000s	2000s	NUM
cana-2864	46	15	.	.	PUNCT
cana-2864	47	1	camargo	camargo	PROPN
cana-2864	47	2	and	and	CCONJ
cana-2864	47	3	smith	smith	PROPN
cana-2864	47	4	(	(	PUNCT
cana-2864	47	5	2009	2009	NUM
cana-2864	47	6	)	)	PUNCT
cana-2864	47	7	reported	report	VERB
cana-2864	47	8	one	one	NUM
cana-2864	47	9	of	of	ADP
cana-2864	47	10	the	the	DET
cana-2864	47	11	early	early	ADJ
cana-2864	47	12	systems	system	NOUN
cana-2864	47	13	that	that	PRON
cana-2864	47	14	applied	apply	VERB
cana-2864	47	15	imageprocessing	imageprocesse	VERB
cana-2864	47	16	techniques	technique	NOUN
cana-2864	47	17	to	to	PART
cana-2864	47	18	detect	detect	VERB
cana-2864	47	19	the	the	DET
cana-2864	47	20	visual	visual	ADJ
cana-2864	47	21	symptoms	symptom	NOUN
cana-2864	47	22	of	of	ADP
cana-2864	47	23	cotton	cotton	NOUN
cana-2864	47	24	diseases	disease	NOUN
cana-2864	47	25	.	.	PUNCT
cana-2864	48	1	though	though	SCONJ
cana-2864	48	2	deep	deep	ADJ
cana-2864	48	3	learning	learning	NOUN
cana-2864	48	4	recently	recently	ADV
cana-2864	48	5	has	have	AUX
cana-2864	48	6	become	become	VERB
cana-2864	48	7	so	so	ADV
cana-2864	48	8	popular	popular	ADJ
cana-2864	48	9	,	,	PUNCT
cana-2864	48	10	some	some	DET
cana-2864	48	11	traditional	traditional	ADJ
cana-2864	48	12	machine	machine	NOUN
cana-2864	48	13	learning	learn	VERB
cana-2864	48	14	algorithms	algorithm	NOUN
cana-2864	48	15	are	be	AUX
cana-2864	48	16	used	use	VERB
cana-2864	48	17	to	to	PART
cana-2864	48	18	detect	detect	VERB
cana-2864	48	19	plant	plant	NOUN
cana-2864	48	20	diseases	disease	NOUN
cana-2864	48	21	,	,	PUNCT
cana-2864	48	22	even	even	ADV
cana-2864	48	23	before	before	ADP
cana-2864	48	24	this	this	DET
cana-2864	48	25	boom	boom	NOUN
cana-2864	48	26	.	.	PUNCT
cana-2864	49	1	mohanty	mohanty	PROPN
cana-2864	49	2	et	et	PROPN
cana-2864	49	3	al	al	PROPN
cana-2864	49	4	.	.	PUNCT
cana-2864	50	1	(	(	PUNCT
cana-2864	50	2	2016	2016	NUM
cana-2864	50	3	)	)	PUNCT
cana-2864	50	4	made	make	VERB
cana-2864	50	5	an	an	DET
cana-2864	50	6	experiment	experiment	NOUN
cana-2864	50	7	comparing	compare	VERB
cana-2864	50	8	the	the	DET
cana-2864	50	9	performance	performance	NOUN
cana-2864	50	10	of	of	ADP
cana-2864	50	11	the	the	DET
cana-2864	50	12	classifier	classifier	NOUN
cana-2864	50	13	system	system	NOUN
cana-2864	50	14	including	include	VERB
cana-2864	50	15	svm	svm	PROPN
cana-2864	50	16	(	(	PUNCT
cana-2864	50	17	support	support	NOUN
cana-2864	50	18	vector	vector	NOUN
cana-2864	50	19	machines	machine	NOUN
cana-2864	50	20	)	)	PUNCT
cana-2864	50	21	,	,	PUNCT
cana-2864	50	22	random	random	ADJ
cana-2864	50	23	forests	forest	NOUN
cana-2864	50	24	,	,	PUNCT
cana-2864	50	25	etc	etc	X
cana-2864	50	26	.	.	X
cana-2864	50	27	on	on	ADP
cana-2864	50	28	the	the	DET
cana-2864	50	29	images	image	NOUN
cana-2864	50	30	dataset	dataset	NOUN
cana-2864	50	31	of	of	ADP
cana-2864	50	32	54,306	54,306	NUM
cana-2864	50	33	plant	plant	NOUN
cana-2864	50	34	leaves	leave	NOUN
cana-2864	50	35	proving	prove	VERB
cana-2864	50	36	the	the	DET
cana-2864	50	37	feasibility	feasibility	NOUN
cana-2864	50	38	of	of	ADP
cana-2864	50	39	applying	apply	VERB
cana-2864	50	40	machine	machine	NOUN
cana-2864	50	41	learning	learning	NOUN
cana-2864	50	42	in	in	ADP
cana-2864	50	43	this	this	DET
cana-2864	50	44	domain	domain	NOUN
cana-2864	50	45	with	with	ADP
cana-2864	50	46	accuracy	accuracy	NOUN
cana-2864	50	47	up	up	ADP
cana-2864	50	48	to	to	ADP
cana-2864	50	49	99.35	99.35	NUM
cana-2864	50	50	%	%	NOUN
cana-2864	50	51	.	.	PUNCT
cana-2864	51	1	deep	deep	ADJ
cana-2864	51	2	learning	learning	NOUN
cana-2864	51	3	,	,	PUNCT
cana-2864	51	4	and	and	CCONJ
cana-2864	51	5	particularly	particularly	ADV
cana-2864	51	6	cnns	cnns	ADJ
cana-2864	51	7	,	,	PUNCT
cana-2864	51	8	represented	represent	VERB
cana-2864	51	9	a	a	DET
cana-2864	51	10	break	break	NOUN
cana-2864	51	11	through	through	ADP
cana-2864	51	12	the	the	DET
cana-2864	51	13	niche	niche	NOUN
cana-2864	51	14	of	of	ADP
cana-2864	51	15	plant	plant	NOUN
cana-2864	51	16	disease	disease	NOUN
cana-2864	51	17	detection	detection	NOUN
cana-2864	51	18	.	.	PUNCT
cana-2864	52	1	used	use	VERB
cana-2864	52	2	cnn	cnn	PROPN
cana-2864	52	3	to	to	PART
cana-2864	52	4	build	build	VERB
cana-2864	52	5	an	an	DET
cana-2864	52	6	approach	approach	NOUN
cana-2864	52	7	that	that	PRON
cana-2864	52	8	detects	detect	VERB
cana-2864	52	9	13	13	NUM
cana-2864	52	10	classes	class	NOUN
cana-2864	52	11	of	of	ADP
cana-2864	52	12	plant	plant	NOUN
cana-2864	52	13	diseases	disease	NOUN
cana-2864	52	14	with	with	ADP
cana-2864	52	15	an	an	DET
cana-2864	52	16	accuracy	accuracy	NOUN
cana-2864	52	17	of	of	ADP
cana-2864	52	18	96.3	96.3	NUM
cana-2864	52	19	%	%	NOUN
cana-2864	52	20	.	.	PUNCT
cana-2864	53	1	it	it	PRON
cana-2864	53	2	illustrates	illustrate	VERB
cana-2864	53	3	the	the	DET
cana-2864	53	4	ability	ability	NOUN
cana-2864	53	5	of	of	ADP
cana-2864	53	6	cnns	cnn	NOUN
cana-2864	53	7	to	to	PART
cana-2864	53	8	learn	learn	VERB
cana-2864	53	9	automatically	automatically	ADV
cana-2864	53	10	relevant	relevant	ADJ
cana-2864	53	11	features	feature	NOUN
cana-2864	53	12	from	from	ADP
cana-2864	53	13	plant	plant	NOUN
cana-2864	53	14	images	image	NOUN
cana-2864	53	15	.	.	PUNCT
cana-2864	54	1	keeping	keep	VERB
cana-2864	54	2	the	the	DET
cana-2864	54	3	potential	potential	NOUN
cana-2864	54	4	of	of	ADP
cana-2864	54	5	transfer	transfer	NOUN
cana-2864	54	6	learning	learning	NOUN
cana-2864	54	7	in	in	ADP
cana-2864	54	8	view	view	NOUN
cana-2864	54	9	,	,	PUNCT
cana-2864	54	10	researchers	researcher	NOUN
cana-2864	54	11	used	use	VERB
cana-2864	54	12	pre	pre	ADJ
cana-2864	54	13	-	-	ADJ
cana-2864	54	14	trained	train	VERB
cana-2864	54	15	models	model	NOUN
cana-2864	54	16	for	for	ADP
cana-2864	54	17	the	the	DET
cana-2864	54	18	task	task	NOUN
cana-2864	54	19	of	of	ADP
cana-2864	54	20	plant	plant	NOUN
cana-2864	54	21	disease	disease	NOUN
cana-2864	54	22	detection	detection	NOUN
cana-2864	54	23	.	.	PUNCT
cana-2864	55	1	too	too	ADV
cana-2864	55	2	et	et	PROPN
cana-2864	55	3	al	al	PROPN
cana-2864	55	4	.	.	PROPN
cana-2864	56	1	(	(	PUNCT
cana-2864	56	2	2019	2019	NUM
cana-2864	56	3	)	)	PUNCT
cana-2864	56	4	applied	apply	VERB
cana-2864	56	5	transfer	transfer	NOUN
cana-2864	56	6	learning	learning	NOUN
cana-2864	56	7	using	use	VERB
cana-2864	56	8	vgg16	vgg16	NOUN
cana-2864	56	9	,	,	PUNCT
cana-2864	56	10	inception	inception	PROPN
cana-2864	56	11	v3	v3	PROPN
cana-2864	56	12	,	,	PUNCT
cana-2864	56	13	and	and	CCONJ
cana-2864	56	14	resnet	resnet	VERB
cana-2864	56	15	to	to	PART
cana-2864	56	16	demonstrate	demonstrate	VERB
cana-2864	56	17	how	how	SCONJ
cana-2864	56	18	well	well	ADV
cana-2864	56	19	-	-	PUNCT
cana-2864	56	20	forgotten	forget	VERB
cana-2864	56	21	architectures	architecture	NOUN
cana-2864	56	22	can	can	AUX
cana-2864	56	23	be	be	AUX
cana-2864	56	24	adapted	adapt	VERB
cana-2864	56	25	and	and	CCONJ
cana-2864	56	26	applied	apply	VERB
cana-2864	56	27	very	very	ADV
cana-2864	56	28	effectively	effectively	ADV
cana-2864	56	29	to	to	ADP
cana-2864	56	30	tasks	task	NOUN
cana-2864	56	31	in	in	ADP
cana-2864	56	32	plant	plant	NOUN
cana-2864	56	33	pathology	pathology	NOUN
cana-2864	56	34	.	.	PUNCT
cana-2864	57	1	in	in	ADP
cana-2864	57	2	recent	recent	ADJ
cana-2864	57	3	times	time	NOUN
cana-2864	57	4	,	,	PUNCT
cana-2864	57	5	ensemble	ensemble	ADJ
cana-2864	57	6	-	-	PUNCT
cana-2864	57	7	based	base	VERB
cana-2864	57	8	approaches	approach	NOUN
cana-2864	57	9	have	have	AUX
cana-2864	57	10	gained	gain	VERB
cana-2864	57	11	popularity	popularity	NOUN
cana-2864	57	12	in	in	ADP
cana-2864	57	13	pursuit	pursuit	NOUN
cana-2864	57	14	of	of	ADP
cana-2864	57	15	enhanced	enhanced	ADJ
cana-2864	57	16	accuracy	accuracy	NOUN
cana-2864	57	17	in	in	ADP
cana-2864	57	18	classification	classification	NOUN
cana-2864	57	19	.	.	PUNCT
cana-2864	58	1	ferentinos	ferentinos	ADV
cana-2864	58	2	,	,	PUNCT
cana-2864	58	3	analysing	analyse	VERB
cana-2864	58	4	various	various	ADJ
cana-2864	58	5	architectures	architecture	NOUN
cana-2864	58	6	and	and	CCONJ
cana-2864	58	7	hybrids	hybrid	NOUN
cana-2864	58	8	for	for	ADP
cana-2864	58	9	plant	plant	NOUN
cana-2864	58	10	disease	disease	NOUN
cana-2864	58	11	detection	detection	NOUN
cana-2864	58	12	,	,	PUNCT
cana-2864	58	13	demonstrated	demonstrate	VERB
cana-2864	58	14	how	how	SCONJ
cana-2864	58	15	ensemble	ensemble	ADJ
cana-2864	58	16	methods	method	NOUN
cana-2864	58	17	can	can	AUX
cana-2864	58	18	be	be	AUX
cana-2864	58	19	considerably	considerably	ADV
cana-2864	58	20	beneficial	beneficial	ADJ
cana-2864	58	21	towards	towards	ADP
cana-2864	58	22	enhancing	enhance	VERB
cana-2864	58	23	performance	performance	NOUN
cana-2864	58	24	and	and	CCONJ
cana-2864	58	25	robustness	robustness	NOUN
cana-2864	58	26	.	.	PUNCT
cana-2864	59	1	the	the	DET
cana-2864	59	2	last	last	ADJ
cana-2864	59	3	several	several	ADJ
cana-2864	59	4	works	work	NOUN
cana-2864	59	5	to	to	PART
cana-2864	59	6	exploit	exploit	VERB
cana-2864	59	7	state	state	NOUN
cana-2864	59	8	-	-	PUNCT
cana-2864	59	9	of	of	ADP
cana-2864	59	10	-	-	PUNCT
cana-2864	59	11	the	the	DET
cana-2864	59	12	-	-	PUNCT
cana-2864	59	13	art	art	NOUN
cana-2864	59	14	architectures	architecture	NOUN
cana-2864	59	15	for	for	ADP
cana-2864	59	16	plant	plant	NOUN
cana-2864	59	17	disease	disease	NOUN
cana-2864	59	18	detection	detection	NOUN
cana-2864	59	19	have	have	AUX
cana-2864	59	20	relied	rely	VERB
cana-2864	59	21	heavily	heavily	ADV
cana-2864	59	22	on	on	ADP
cana-2864	59	23	xception	xception	NOUN
cana-2864	59	24	and	and	CCONJ
cana-2864	59	25	densenet	densenet	NOUN
cana-2864	59	26	,	,	PUNCT
cana-2864	59	27	and	and	CCONJ
cana-2864	59	28	it	it	PRON
cana-2864	59	29	appears	appear	VERB
cana-2864	59	30	that	that	SCONJ
cana-2864	59	31	these	these	DET
cana-2864	59	32	architectures	architecture	NOUN
cana-2864	59	33	have	have	AUX
cana-2864	59	34	been	be	AUX
cana-2864	59	35	very	very	ADV
cana-2864	59	36	promising	promising	ADJ
cana-2864	59	37	in	in	ADP
cana-2864	59	38	many	many	ADJ
cana-2864	59	39	applications	application	NOUN
cana-2864	59	40	of	of	ADP
cana-2864	59	41	computer	computer	NOUN
cana-2864	59	42	vision	vision	NOUN
cana-2864	59	43	.	.	PUNCT
cana-2864	60	1	brahimi	brahimi	PROPN
cana-2864	60	2	et	et	PROPN
cana-2864	60	3	al	al	PROPN
cana-2864	60	4	.	.	PROPN
cana-2864	60	5	employed	employ	VERB
cana-2864	60	6	the	the	DET
cana-2864	60	7	densenet	densenet	NOUN
cana-2864	60	8	approach	approach	NOUN
cana-2864	60	9	for	for	ADP
cana-2864	60	10	tomato	tomato	NOUN
cana-2864	60	11	disease	disease	NOUN
cana-2864	60	12	detection	detection	NOUN
cana-2864	60	13	and	and	CCONJ
cana-2864	60	14	achieved	achieve	VERB
cana-2864	60	15	high	high	ADJ
cana-2864	60	16	accuracy	accuracy	NOUN
cana-2864	60	17	rates	rate	NOUN
cana-2864	60	18	.	.	PUNCT
cana-2864	61	1	large	large	ADJ
cana-2864	61	2	amounts	amount	NOUN
cana-2864	61	3	of	of	ADP
cana-2864	61	4	labelled	label	VERB
cana-2864	61	5	data	datum	NOUN
cana-2864	61	6	in	in	ADP
cana-2864	61	7	agriculture	agriculture	NOUN
cana-2864	61	8	pose	pose	VERB
cana-2864	61	9	a	a	DET
cana-2864	61	10	challenge	challenge	NOUN
cana-2864	61	11	.	.	PUNCT
cana-2864	62	1	thus	thus	ADV
cana-2864	62	2	,	,	PUNCT
cana-2864	62	3	researchers	researcher	NOUN
cana-2864	62	4	have	have	AUX
cana-2864	62	5	developed	develop	VERB
cana-2864	62	6	various	various	ADJ
cana-2864	62	7	data	datum	NOUN
cana-2864	62	8	augmentation	augmentation	NOUN
cana-2864	62	9	techniques	technique	NOUN
cana-2864	62	10	.	.	PUNCT
cana-2864	63	1	kartal	kartal	PROPN
cana-2864	63	2	et	et	PROPN
cana-2864	63	3	al	al	PROPN
cana-2864	63	4	.	.	PROPN
cana-2864	64	1	(	(	PUNCT
cana-2864	64	2	2021	2021	NUM
cana-2864	64	3	)	)	PUNCT
cana-2864	64	4	demonstrated	demonstrate	VERB
cana-2864	64	5	how	how	SCONJ
cana-2864	64	6	advanced	advanced	ADJ
cana-2864	64	7	augmentation	augmentation	NOUN
cana-2864	64	8	methods	method	NOUN
cana-2864	64	9	significantly	significantly	ADV
cana-2864	64	10	improve	improve	VERB
cana-2864	64	11	model	model	NOUN
cana-2864	64	12	performance	performance	NOUN
cana-2864	64	13	and	and	CCONJ
cana-2864	64	14	generalization	generalization	NOUN
cana-2864	64	15	on	on	ADP
cana-2864	64	16	plant	plant	NOUN
cana-2864	64	17	disease	disease	NOUN
cana-2864	64	18	classification	classification	NOUN
cana-2864	64	19	tasks	task	NOUN
cana-2864	64	20	.	.	PUNCT
cana-2864	65	1	for	for	ADP
cana-2864	65	2	more	more	ADJ
cana-2864	65	3	on	on	ADP
cana-2864	65	4	-	-	PUNCT
cana-2864	65	5	field	field	NOUN
cana-2864	65	6	diagnostics	diagnostic	NOUN
cana-2864	65	7	,	,	PUNCT
cana-2864	65	8	there	there	PRON
cana-2864	65	9	has	have	AUX
cana-2864	65	10	been	be	AUX
cana-2864	65	11	a	a	DET
cana-2864	65	12	tremendous	tremendous	ADJ
cana-2864	65	13	need	need	NOUN
cana-2864	65	14	for	for	ADP
cana-2864	65	15	developing	develop	VERB
cana-2864	65	16	lightweight	lightweight	ADJ
cana-2864	65	17	models	model	NOUN
cana-2864	65	18	for	for	ADP
cana-2864	65	19	mobile	mobile	ADJ
cana-2864	65	20	devices	device	NOUN
cana-2864	65	21	.	.	PUNCT
cana-2864	66	1	parraga	parraga	NOUN
cana-2864	66	2	-	-	PUNCT
cana-2864	66	3	alava	alava	PROPN
cana-2864	66	4	et	et	PROPN
cana-2864	66	5	al	al	PROPN
cana-2864	66	6	.	.	PROPN
cana-2864	67	1	(	(	PUNCT
cana-2864	67	2	2022	2022	NUM
cana-2864	67	3	)	)	PUNCT
cana-2864	67	4	proposed	propose	VERB
cana-2864	67	5	a	a	DET
cana-2864	67	6	mobile	mobile	NOUN
cana-2864	67	7	-	-	PUNCT
cana-2864	67	8	based	base	VERB
cana-2864	67	9	real	real	ADJ
cana-2864	67	10	-	-	PUNCT
cana-2864	67	11	time	time	NOUN
cana-2864	67	12	plant	plant	NOUN
cana-2864	67	13	disease	disease	NOUN
cana-2864	67	14	detection	detection	NOUN
cana-2864	67	15	system	system	NOUN
cana-2864	67	16	,	,	PUNCT
cana-2864	67	17	showing	show	VERB
cana-2864	67	18	some	some	DET
cana-2864	67	19	practical	practical	ADJ
cana-2864	67	20	applications	application	NOUN
cana-2864	67	21	of	of	ADP
cana-2864	67	22	this	this	DET
cana-2864	67	23	technology	technology	NOUN
cana-2864	67	24	.	.	PUNCT
cana-2864	68	1	despite	despite	SCONJ
cana-2864	68	2	all	all	DET
cana-2864	68	3	these	these	DET
cana-2864	68	4	advantages	advantage	NOUN
cana-2864	68	5	,	,	PUNCT
cana-2864	68	6	there	there	PRON
cana-2864	68	7	is	be	VERB
cana-2864	68	8	still	still	ADV
cana-2864	68	9	much	much	ADJ
cana-2864	68	10	to	to	PART
cana-2864	68	11	be	be	AUX
cana-2864	68	12	addressed	address	VERB
cana-2864	68	13	in	in	ADP
cana-2864	68	14	the	the	DET
cana-2864	68	15	field	field	NOUN
cana-2864	68	16	.	.	PUNCT
cana-2864	69	1	an	an	DET
cana-2864	69	2	extensive	extensive	ADJ
cana-2864	69	3	review	review	NOUN
cana-2864	69	4	on	on	ADP
cana-2864	69	5	the	the	DET
cana-2864	69	6	shortcomings	shortcoming	NOUN
cana-2864	69	7	of	of	ADP
cana-2864	69	8	modern	modern	ADJ
cana-2864	69	9	plant	plant	NOUN
cana-2864	69	10	disease	disease	NOUN
cana-2864	69	11	detection	detection	NOUN
cana-2864	69	12	systems	system	NOUN
cana-2864	69	13	was	be	AUX
cana-2864	69	14	reported	report	VERB
cana-2864	69	15	by	by	ADP
cana-2864	69	16	barbed	barb	VERB
cana-2864	69	17	in	in	ADP
cana-2864	69	18	2018	2018	NUM
cana-2864	69	19	.	.	PUNCT
cana-2864	70	1	this	this	PRON
cana-2864	70	2	is	be	AUX
cana-2864	70	3	communications	communication	NOUN
cana-2864	70	4	on	on	ADP
cana-2864	70	5	applied	apply	VERB
cana-2864	70	6	nonlinear	nonlinear	ADJ
cana-2864	70	7	analysis	analysis	NOUN
cana-2864	70	8	issn	issn	NOUN
cana-2864	70	9	:	:	PUNCT
cana-2864	70	10	1074	1074	NUM
cana-2864	70	11	-	-	PUNCT
cana-2864	70	12	133x	133x	NUM
cana-2864	70	13	vol	vol	NOUN
cana-2864	70	14	32	32	NUM
cana-2864	70	15	no	no	NOUN
cana-2864	70	16	.	.	PUNCT
cana-2864	71	1	4s	4s	NUM
cana-2864	71	2	(	(	PUNCT
cana-2864	71	3	2025	2025	NUM
cana-2864	71	4	)	)	PUNCT
cana-2864	71	5	462	462	NUM
cana-2864	71	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	71	7	based	base	VERB
cana-2864	71	8	on	on	ADP
cana-2864	71	9	data	datum	NOUN
cana-2864	71	10	quality	quality	NOUN
cana-2864	71	11	,	,	PUNCT
cana-2864	71	12	interpretability	interpretability	NOUN
cana-2864	71	13	of	of	ADP
cana-2864	71	14	models	model	NOUN
cana-2864	71	15	,	,	PUNCT
cana-2864	71	16	and	and	CCONJ
cana-2864	71	17	applicability	applicability	NOUN
cana-2864	71	18	in	in	ADP
cana-2864	71	19	the	the	DET
cana-2864	71	20	real	real	ADJ
cana-2864	71	21	world	world	NOUN
cana-2864	71	22	.	.	PUNCT
cana-2864	72	1	such	such	DET
cana-2864	72	2	an	an	DET
cana-2864	72	3	insight	insight	NOUN
cana-2864	72	4	has	have	AUX
cana-2864	72	5	driven	drive	VERB
cana-2864	72	6	recent	recent	ADJ
cana-2864	72	7	research	research	NOUN
cana-2864	72	8	toward	toward	ADP
cana-2864	72	9	finding	find	VERB
cana-2864	72	10	robust	robust	ADJ
cana-2864	72	11	and	and	CCONJ
cana-2864	72	12	practical	practical	ADJ
cana-2864	72	13	solutions	solution	NOUN
cana-2864	72	14	that	that	PRON
cana-2864	72	15	build	build	VERB
cana-2864	72	16	upon	upon	SCONJ
cana-2864	72	17	these	these	DET
cana-2864	72	18	insights	insight	NOUN
cana-2864	72	19	.	.	PUNCT
cana-2864	73	1	our	our	PRON
cana-2864	73	2	work	work	NOUN
cana-2864	73	3	does	do	VERB
cana-2864	73	4	better	well	ADV
cana-2864	73	5	than	than	ADP
cana-2864	73	6	this	this	PRON
cana-2864	73	7	on	on	ADP
cana-2864	73	8	both	both	DET
cana-2864	73	9	these	these	DET
cana-2864	73	10	bases	basis	NOUN
cana-2864	73	11	by	by	ADP
cana-2864	73	12	using	use	VERB
cana-2864	73	13	an	an	DET
cana-2864	73	14	ensemble	ensemble	NOUN
cana-2864	73	15	of	of	ADP
cana-2864	73	16	state	state	NOUN
cana-2864	73	17	-	-	PUNCT
cana-2864	73	18	of	of	ADP
cana-2864	73	19	-	-	PUNCT
cana-2864	73	20	the	the	DET
cana-2864	73	21	-	-	PUNCT
cana-2864	73	22	art	art	NOUN
cana-2864	73	23	architectures	architecture	NOUN
cana-2864	73	24	(	(	PUNCT
cana-2864	73	25	xception	xception	NOUN
cana-2864	73	26	and	and	CCONJ
cana-2864	73	27	densenet121	densenet121	PROPN
cana-2864	73	28	)	)	PUNCT
cana-2864	73	29	,	,	PUNCT
cana-2864	73	30	advanced	advanced	ADJ
cana-2864	73	31	data	datum	NOUN
cana-2864	73	32	augmentation	augmentation	NOUN
cana-2864	73	33	techniques	technique	NOUN
cana-2864	73	34	,	,	PUNCT
cana-2864	73	35	and	and	CCONJ
cana-2864	73	36	focusing	focus	VERB
cana-2864	73	37	on	on	ADP
cana-2864	73	38	a	a	DET
cana-2864	73	39	more	more	ADV
cana-2864	73	40	applied	apply	VERB
cana-2864	73	41	group	group	NOUN
cana-2864	73	42	of	of	ADP
cana-2864	73	43	disease	disease	NOUN
cana-2864	73	44	categories	category	NOUN
cana-2864	73	45	of	of	ADP
cana-2864	73	46	interest	interest	NOUN
cana-2864	73	47	to	to	ADP
cana-2864	73	48	agriculture	agriculture	NOUN
cana-2864	73	49	.	.	PUNCT
cana-2864	74	1	this	this	DET
cana-2864	74	2	literature	literature	NOUN
cana-2864	74	3	review	review	NOUN
cana-2864	74	4	traces	trace	VERB
cana-2864	74	5	the	the	DET
cana-2864	74	6	development	development	NOUN
cana-2864	74	7	of	of	ADP
cana-2864	74	8	techniques	technique	NOUN
cana-2864	74	9	for	for	ADP
cana-2864	74	10	the	the	DET
cana-2864	74	11	detection	detection	NOUN
cana-2864	74	12	of	of	ADP
cana-2864	74	13	plant	plant	NOUN
cana-2864	74	14	diseases	disease	NOUN
cana-2864	74	15	from	from	ADP
cana-2864	74	16	the	the	DET
cana-2864	74	17	earliest	early	ADJ
cana-2864	74	18	classic	classic	ADJ
cana-2864	74	19	imageprocessing	imageprocesse	VERB
cana-2864	74	20	methods	method	NOUN
cana-2864	74	21	to	to	PART
cana-2864	74	22	advanced	advanced	ADJ
cana-2864	74	23	deep	deep	ADJ
cana-2864	74	24	learning	learning	NOUN
cana-2864	74	25	models	model	NOUN
cana-2864	74	26	,	,	PUNCT
cana-2864	74	27	underlining	underline	VERB
cana-2864	74	28	the	the	DET
cana-2864	74	29	continued	continue	VERB
cana-2864	74	30	challenges	challenge	NOUN
cana-2864	74	31	and	and	CCONJ
cana-2864	74	32	possible	possible	ADJ
cana-2864	74	33	advancements	advancement	NOUN
cana-2864	74	34	in	in	ADP
cana-2864	74	35	this	this	DET
cana-2864	74	36	field	field	NOUN
cana-2864	74	37	.	.	PUNCT
cana-2864	75	1	by	by	ADP
cana-2864	75	2	placing	place	VERB
cana-2864	75	3	our	our	PRON
cana-2864	75	4	research	research	NOUN
cana-2864	75	5	in	in	ADP
cana-2864	75	6	the	the	DET
cana-2864	75	7	broader	broad	ADJ
cana-2864	75	8	context	context	NOUN
cana-2864	75	9	of	of	ADP
cana-2864	75	10	plant	plant	NOUN
cana-2864	75	11	pathology	pathology	NOUN
cana-2864	75	12	and	and	CCONJ
cana-2864	75	13	machine	machine	NOUN
cana-2864	75	14	learning	learning	NOUN
cana-2864	75	15	,	,	PUNCT
cana-2864	75	16	we	we	PRON
cana-2864	75	17	seek	seek	VERB
cana-2864	75	18	to	to	PART
cana-2864	75	19	emphasize	emphasize	VERB
cana-2864	75	20	the	the	DET
cana-2864	75	21	continued	continue	VERB
cana-2864	75	22	necessity	necessity	NOUN
cana-2864	75	23	for	for	ADP
cana-2864	75	24	innovation	innovation	NOUN
cana-2864	75	25	in	in	ADP
cana-2864	75	26	this	this	DET
cana-2864	75	27	area	area	NOUN
cana-2864	75	28	regarding	regard	VERB
cana-2864	75	29	global	global	ADJ
cana-2864	75	30	agriculture	agriculture	NOUN
cana-2864	75	31	.	.	PUNCT
cana-2864	76	1	3	3	X
cana-2864	76	2	.	.	NUM
cana-2864	76	3	proposed	propose	VERB
cana-2864	76	4	method	method	NOUN
cana-2864	76	5	our	our	PRON
cana-2864	76	6	approach	approach	NOUN
cana-2864	76	7	for	for	ADP
cana-2864	76	8	automated	automate	VERB
cana-2864	76	9	plant	plant	NOUN
cana-2864	76	10	leaf	leaf	NOUN
cana-2864	76	11	disease	disease	NOUN
cana-2864	76	12	detection	detection	NOUN
cana-2864	76	13	approaches	approach	VERB
cana-2864	76	14	the	the	DET
cana-2864	76	15	state	state	NOUN
cana-2864	76	16	of	of	ADP
cana-2864	76	17	art	art	NOUN
cana-2864	76	18	in	in	ADP
cana-2864	76	19	deep	deep	ADJ
cana-2864	76	20	learning	learning	NOUN
cana-2864	76	21	techniques	technique	NOUN
cana-2864	76	22	enhanced	enhance	VERB
cana-2864	76	23	with	with	ADP
cana-2864	76	24	sophisticated	sophisticated	ADJ
cana-2864	76	25	image	image	NOUN
cana-2864	76	26	processing	processing	NOUN
cana-2864	76	27	to	to	PART
cana-2864	76	28	come	come	VERB
cana-2864	76	29	up	up	ADP
cana-2864	76	30	with	with	ADP
cana-2864	76	31	a	a	DET
cana-2864	76	32	robust	robust	ADJ
cana-2864	76	33	and	and	CCONJ
cana-2864	76	34	effective	effective	ADJ
cana-2864	76	35	system	system	NOUN
cana-2864	76	36	.	.	PUNCT
cana-2864	77	1	the	the	DET
cana-2864	77	2	methodology	methodology	NOUN
cana-2864	77	3	proceeds	proceed	VERB
cana-2864	77	4	from	from	ADP
cana-2864	77	5	dataset	dataset	ADJ
cana-2864	77	6	preparation	preparation	NOUN
cana-2864	77	7	,	,	PUNCT
cana-2864	77	8	within	within	ADP
cana-2864	77	9	which	which	PRON
cana-2864	77	10	we	we	PRON
cana-2864	77	11	establish	establish	VERB
cana-2864	77	12	a	a	DET
cana-2864	77	13	comprehensive	comprehensive	ADJ
cana-2864	77	14	dataset	dataset	NOUN
cana-2864	77	15	consisting	consist	VERB
cana-2864	77	16	of	of	ADP
cana-2864	77	17	images	image	NOUN
cana-2864	77	18	of	of	ADP
cana-2864	77	19	healthy	healthy	ADJ
cana-2864	77	20	leaves	leave	NOUN
cana-2864	77	21	and	and	CCONJ
cana-2864	77	22	affected	affect	VERB
cana-2864	77	23	leaves	leave	NOUN
cana-2864	77	24	due	due	ADJ
cana-2864	77	25	to	to	ADP
cana-2864	77	26	various	various	ADJ
cana-2864	77	27	diseases	disease	NOUN
cana-2864	77	28	,	,	PUNCT
cana-2864	77	29	including	include	VERB
cana-2864	77	30	rust	rust	NOUN
cana-2864	77	31	and	and	CCONJ
cana-2864	77	32	scab	scab	NOUN
cana-2864	77	33	.	.	PUNCT
cana-2864	78	1	images	image	NOUN
cana-2864	78	2	were	be	AUX
cana-2864	78	3	pre	pre	ADJ
cana-2864	78	4	-	-	VERB
cana-2864	78	5	processed	process	VERB
cana-2864	78	6	where	where	SCONJ
cana-2864	78	7	the	the	DET
cana-2864	78	8	image	image	NOUN
cana-2864	78	9	is	be	AUX
cana-2864	78	10	resized	resize	VERB
cana-2864	78	11	to	to	ADP
cana-2864	78	12	a	a	DET
cana-2864	78	13	uniform	uniform	ADJ
cana-2864	78	14	dimension	dimension	NOUN
cana-2864	78	15	of	of	ADP
cana-2864	78	16	512x512	512x512	PROPN
cana-2864	78	17	pixels	pixel	NOUN
cana-2864	78	18	and	and	CCONJ
cana-2864	78	19	normalization	normalization	NOUN
cana-2864	78	20	of	of	ADP
cana-2864	78	21	pixel	pixel	PROPN
cana-2864	78	22	values	value	NOUN
cana-2864	78	23	into	into	ADP
cana-2864	78	24	range	range	NOUN
cana-2864	78	25	[	[	X
cana-2864	78	26	0	0	NUM
cana-2864	78	27	,	,	PUNCT
cana-2864	78	28	1	1	NUM
cana-2864	78	29	]	]	PUNCT
cana-2864	78	30	.	.	PUNCT
cana-2864	79	1	stratified	stratified	ADJ
cana-2864	79	2	sampling	sampling	NOUN
cana-2864	79	3	was	be	AUX
cana-2864	79	4	also	also	ADV
cana-2864	79	5	applied	apply	VERB
cana-2864	79	6	in	in	ADP
cana-2864	79	7	ensuring	ensure	VERB
cana-2864	79	8	that	that	SCONJ
cana-2864	79	9	classes	class	NOUN
cana-2864	79	10	would	would	AUX
cana-2864	79	11	be	be	AUX
cana-2864	79	12	represented	represent	VERB
cana-2864	79	13	fairly	fairly	ADV
cana-2864	79	14	by	by	ADP
cana-2864	79	15	splitting	split	VERB
cana-2864	79	16	the	the	DET
cana-2864	79	17	dataset	dataset	NOUN
cana-2864	79	18	for	for	ADP
cana-2864	79	19	training	training	NOUN
cana-2864	79	20	(	(	PUNCT
cana-2864	79	21	95	95	NUM
cana-2864	79	22	%	%	NOUN
cana-2864	79	23	)	)	PUNCT
cana-2864	79	24	to	to	ADP
cana-2864	79	25	some	some	DET
cana-2864	79	26	validation	validation	NOUN
cana-2864	79	27	purposes	purpose	NOUN
cana-2864	79	28	at	at	ADP
cana-2864	79	29	5	5	NUM
cana-2864	79	30	%	%	NOUN
cana-2864	79	31	.	.	PUNCT
cana-2864	80	1	finally	finally	ADV
cana-2864	80	2	,	,	PUNCT
cana-2864	80	3	we	we	PRON
cana-2864	80	4	employ	employ	VERB
cana-2864	80	5	data	datum	NOUN
cana-2864	80	6	augmentation	augmentation	NOUN
cana-2864	80	7	on	on	ADP
cana-2864	80	8	the	the	DET
cana-2864	80	9	pre	pre	ADJ
cana-2864	80	10	-	-	ADJ
cana-2864	80	11	processed	process	VERB
cana-2864	80	12	dataset	dataset	NOUN
cana-2864	80	13	using	use	VERB
cana-2864	80	14	kera	kera	PROPN
cana-2864	80	15	’s	’s	PART
cana-2864	80	16	image	image	PROPN
cana-2864	80	17	data	data	PROPN
cana-2864	80	18	generator	generator	PROPN
cana-2864	80	19	.	.	PUNCT
cana-2864	81	1	it	it	PRON
cana-2864	81	2	renders	render	VERB
cana-2864	81	3	the	the	DET
cana-2864	81	4	possibility	possibility	NOUN
cana-2864	81	5	of	of	ADP
cana-2864	81	6	real	real	ADJ
cana-2864	81	7	-	-	PUNCT
cana-2864	81	8	time	time	NOUN
cana-2864	81	9	augmentation	augmentation	NOUN
cana-2864	81	10	by	by	ADP
cana-2864	81	11	operations	operation	NOUN
cana-2864	81	12	on	on	ADP
cana-2864	81	13	training	training	NOUN
cana-2864	81	14	images	image	NOUN
cana-2864	81	15	,	,	PUNCT
cana-2864	81	16	thus	thus	ADV
cana-2864	81	17	inducing	induce	VERB
cana-2864	81	18	variations	variation	NOUN
cana-2864	81	19	of	of	ADP
cana-2864	81	20	the	the	DET
cana-2864	81	21	same	same	ADJ
cana-2864	81	22	image	image	NOUN
cana-2864	81	23	.	.	PUNCT
cana-2864	82	1	this	this	PRON
cana-2864	82	2	increases	increase	VERB
cana-2864	82	3	the	the	DET
cana-2864	82	4	robustness	robustness	NOUN
cana-2864	82	5	and	and	CCONJ
cana-2864	82	6	ability	ability	NOUN
cana-2864	82	7	of	of	ADP
cana-2864	82	8	generalization	generalization	NOUN
cana-2864	82	9	of	of	ADP
cana-2864	82	10	the	the	DET
cana-2864	82	11	model	model	NOUN
cana-2864	82	12	due	due	ADP
cana-2864	82	13	to	to	ADP
cana-2864	82	14	its	its	PRON
cana-2864	82	15	wider	wide	ADJ
cana-2864	82	16	exposure	exposure	NOUN
cana-2864	82	17	to	to	ADP
cana-2864	82	18	variations	variation	NOUN
cana-2864	82	19	of	of	ADP
cana-2864	82	20	conditions	condition	NOUN
cana-2864	82	21	in	in	ADP
cana-2864	82	22	images	image	NOUN
cana-2864	82	23	.	.	PUNCT
cana-2864	83	1	at	at	ADP
cana-2864	83	2	the	the	DET
cana-2864	83	3	heart	heart	NOUN
cana-2864	83	4	of	of	ADP
cana-2864	83	5	our	our	PRON
cana-2864	83	6	methodology	methodology	NOUN
cana-2864	83	7	lies	lie	VERB
cana-2864	83	8	model	model	NOUN
cana-2864	83	9	architecture	architecture	NOUN
cana-2864	83	10	,	,	PUNCT
cana-2864	83	11	employing	employ	VERB
cana-2864	83	12	an	an	DET
cana-2864	83	13	ensemble	ensemble	ADJ
cana-2864	83	14	strategy	strategy	NOUN
cana-2864	83	15	combining	combine	VERB
cana-2864	83	16	two	two	NUM
cana-2864	83	17	state	state	NOUN
cana-2864	83	18	-	-	PUNCT
cana-2864	83	19	of	of	ADP
cana-2864	83	20	-	-	PUNCT
cana-2864	83	21	the	the	DET
cana-2864	83	22	-	-	PUNCT
cana-2864	83	23	art	art	NOUN
cana-2864	83	24	deep	deep	ADJ
cana-2864	83	25	learning	learning	NOUN
cana-2864	83	26	architectures	architecture	NOUN
cana-2864	83	27	:	:	PUNCT
cana-2864	83	28	xception	xception	PROPN
cana-2864	83	29	and	and	CCONJ
cana-2864	83	30	densenet121	densenet121	PROPN
cana-2864	83	31	.	.	PUNCT
cana-2864	84	1	xception	xception	PROPN
cana-2864	84	2	is	be	AUX
cana-2864	84	3	renowned	renowned	ADJ
cana-2864	84	4	for	for	ADP
cana-2864	84	5	its	its	PRON
cana-2864	84	6	depth	depth	NOUN
cana-2864	84	7	-	-	PUNCT
cana-2864	84	8	wise	wise	ADJ
cana-2864	84	9	separable	separable	ADJ
cana-2864	84	10	convolutions	convolution	NOUN
cana-2864	84	11	,	,	PUNCT
cana-2864	84	12	thus	thus	ADV
cana-2864	84	13	being	be	AUX
cana-2864	84	14	efficient	efficient	ADJ
cana-2864	84	15	for	for	ADP
cana-2864	84	16	large	large	ADJ
cana-2864	84	17	-	-	PUNCT
cana-2864	84	18	scale	scale	NOUN
cana-2864	84	19	image	image	NOUN
cana-2864	84	20	classification	classification	NOUN
cana-2864	84	21	tasks	task	NOUN
cana-2864	84	22	.	.	PUNCT
cana-2864	85	1	conversely	conversely	ADV
cana-2864	85	2	,	,	PUNCT
cana-2864	85	3	densenet121	densenet121	PROPN
cana-2864	85	4	features	feature	VERB
cana-2864	85	5	dense	dense	ADJ
cana-2864	85	6	connectivity	connectivity	NOUN
cana-2864	85	7	that	that	PRON
cana-2864	85	8	promotes	promote	VERB
cana-2864	85	9	feature	feature	NOUN
cana-2864	85	10	propagation	propagation	NOUN
cana-2864	85	11	and	and	CCONJ
cana-2864	85	12	reuse	reuse	NOUN
cana-2864	85	13	.	.	PUNCT
cana-2864	86	1	building	build	VERB
cana-2864	86	2	ensemble	ensemble	ADJ
cana-2864	86	3	model	model	NOUN
cana-2864	86	4	-	-	PUNCT
cana-2864	86	5	merge	merge	NOUN
cana-2864	86	6	outputs	output	NOUN
cana-2864	86	7	of	of	ADP
cana-2864	86	8	the	the	DET
cana-2864	86	9	architectures	architecture	NOUN
cana-2864	86	10	,	,	PUNCT
cana-2864	86	11	utilizing	utilize	VERB
cana-2864	86	12	average	average	NOUN
cana-2864	86	13	as	as	ADP
cana-2864	86	14	the	the	DET
cana-2864	86	15	final	final	ADJ
cana-2864	86	16	output	output	NOUN
cana-2864	86	17	and	and	CCONJ
cana-2864	86	18	using	use	VERB
cana-2864	86	19	four	four	NUM
cana-2864	86	20	neurons	neuron	NOUN
cana-2864	86	21	activated	activate	VERB
cana-2864	86	22	by	by	ADP
cana-2864	86	23	softmax	softmax	NOUN
cana-2864	86	24	function	function	NOUN
cana-2864	86	25	for	for	ADP
cana-2864	86	26	multiclass	multiclass	ADJ
cana-2864	86	27	classification	classification	NOUN
cana-2864	86	28	.	.	PUNCT
cana-2864	87	1	for	for	ADP
cana-2864	87	2	further	further	ADJ
cana-2864	87	3	optimization	optimization	NOUN
cana-2864	87	4	of	of	ADP
cana-2864	87	5	the	the	DET
cana-2864	87	6	training	training	NOUN
cana-2864	87	7	process	process	NOUN
cana-2864	87	8	,	,	PUNCT
cana-2864	87	9	we	we	PRON
cana-2864	87	10	introduce	introduce	VERB
cana-2864	87	11	a	a	DET
cana-2864	87	12	custom	custom	NOUN
cana-2864	87	13	learning	learning	NOUN
cana-2864	87	14	rate	rate	NOUN
cana-2864	87	15	schedule	schedule	NOUN
cana-2864	87	16	with	with	ADP
cana-2864	87	17	ramp	ramp	NOUN
cana-2864	87	18	-	-	PUNCT
cana-2864	87	19	up	up	NOUN
cana-2864	87	20	,	,	PUNCT
cana-2864	87	21	sustain	sustain	VERB
cana-2864	87	22	,	,	PUNCT
cana-2864	87	23	and	and	CCONJ
cana-2864	87	24	decay	decay	VERB
cana-2864	87	25	phases	phase	NOUN
cana-2864	87	26	to	to	PART
cana-2864	87	27	stabilize	stabilize	VERB
cana-2864	87	28	and	and	CCONJ
cana-2864	87	29	speed	speed	VERB
cana-2864	87	30	up	up	ADP
cana-2864	87	31	the	the	DET
cana-2864	87	32	learning	learning	NOUN
cana-2864	87	33	process	process	NOUN
cana-2864	87	34	even	even	ADV
cana-2864	87	35	further	far	ADV
cana-2864	87	36	.	.	PUNCT
cana-2864	88	1	the	the	DET
cana-2864	88	2	learning	learning	NOUN
cana-2864	88	3	rate	rate	NOUN
cana-2864	88	4	increases	increase	NOUN
cana-2864	88	5	gradually	gradually	ADV
cana-2864	88	6	during	during	ADP
cana-2864	88	7	ramp	ramp	NOUN
cana-2864	88	8	-	-	PUNCT
cana-2864	88	9	up	up	NOUN
cana-2864	88	10	.	.	PUNCT
cana-2864	89	1	the	the	DET
cana-2864	89	2	learning	learning	NOUN
cana-2864	89	3	then	then	ADV
cana-2864	89	4	stays	stay	VERB
cana-2864	89	5	at	at	ADP
cana-2864	89	6	this	this	DET
cana-2864	89	7	maximum	maximum	ADJ
cana-2864	89	8	value	value	NOUN
cana-2864	89	9	throughout	throughout	ADP
cana-2864	89	10	the	the	DET
cana-2864	89	11	sustain	sustain	ADJ
cana-2864	89	12	phase	phase	NOUN
cana-2864	89	13	.	.	PUNCT
cana-2864	90	1	then	then	ADV
cana-2864	90	2	it	it	PRON
cana-2864	90	3	decreases	decrease	VERB
cana-2864	90	4	exponentially	exponentially	ADV
cana-2864	90	5	towards	towards	ADP
cana-2864	90	6	a	a	DET
cana-2864	90	7	minimum	minimum	ADJ
cana-2864	90	8	value	value	NOUN
cana-2864	90	9	during	during	ADP
cana-2864	90	10	the	the	DET
cana-2864	90	11	decay	decay	NOUN
cana-2864	90	12	phase	phase	NOUN
cana-2864	90	13	.	.	PUNCT
cana-2864	91	1	the	the	DET
cana-2864	91	2	training	training	NOUN
cana-2864	91	3	process	process	NOUN
cana-2864	91	4	uses	use	VERB
cana-2864	91	5	adam	adam	PROPN
cana-2864	91	6	as	as	ADP
cana-2864	91	7	the	the	DET
cana-2864	91	8	optimizer	optimizer	NOUN
cana-2864	91	9	,	,	PUNCT
cana-2864	91	10	with	with	ADP
cana-2864	91	11	an	an	DET
cana-2864	91	12	initial	initial	ADJ
cana-2864	91	13	learning	learning	NOUN
cana-2864	91	14	rate	rate	NOUN
cana-2864	91	15	of	of	ADP
cana-2864	91	16	1×10	1×10	NUM
cana-2864	91	17	^	^	SYM
cana-2864	91	18	-5	-5	ADJ
cana-2864	91	19	and	and	CCONJ
cana-2864	91	20	categorical	categorical	ADJ
cana-2864	91	21	cross	cross	NOUN
cana-2864	91	22	-	-	NOUN
cana-2864	91	23	entropy	entropy	NOUN
cana-2864	91	24	as	as	ADP
cana-2864	91	25	its	its	PRON
cana-2864	91	26	loss	loss	NOUN
cana-2864	91	27	function	function	NOUN
cana-2864	91	28	.	.	PUNCT
cana-2864	92	1	this	this	DET
cana-2864	92	2	model	model	NOUN
cana-2864	92	3	should	should	AUX
cana-2864	92	4	be	be	AUX
cana-2864	92	5	trained	train	VERB
cana-2864	92	6	over	over	ADP
cana-2864	92	7	ten	ten	NUM
cana-2864	92	8	epochs	epoch	NOUN
cana-2864	92	9	(	(	PUNCT
cana-2864	92	10	depending	depend	VERB
cana-2864	92	11	on	on	ADP
cana-2864	92	12	performance	performance	NOUN
cana-2864	92	13	)	)	PUNCT
cana-2864	92	14	,	,	PUNCT
cana-2864	92	15	using	use	VERB
cana-2864	92	16	a	a	DET
cana-2864	92	17	batch	batch	NOUN
cana-2864	92	18	size	size	NOUN
cana-2864	92	19	set	set	VERB
cana-2864	92	20	at	at	ADP
cana-2864	92	21	eight	eight	NUM
cana-2864	92	22	.	.	PUNCT
cana-2864	93	1	during	during	ADP
cana-2864	93	2	training	training	NOUN
cana-2864	93	3	,	,	PUNCT
cana-2864	93	4	we	we	PRON
cana-2864	93	5	will	will	AUX
cana-2864	93	6	measure	measure	VERB
cana-2864	93	7	our	our	PRON
cana-2864	93	8	model	model	NOUN
cana-2864	93	9	's	's	PART
cana-2864	93	10	performance	performance	NOUN
cana-2864	93	11	using	use	VERB
cana-2864	93	12	such	such	ADJ
cana-2864	93	13	metrics	metric	NOUN
cana-2864	93	14	as	as	ADP
cana-2864	93	15	training	training	NOUN
cana-2864	93	16	and	and	CCONJ
cana-2864	93	17	validation	validation	NOUN
cana-2864	93	18	accuracy	accuracy	NOUN
cana-2864	93	19	and	and	CCONJ
cana-2864	93	20	loss	loss	NOUN
cana-2864	93	21	.	.	PUNCT
cana-2864	94	1	visualization	visualization	NOUN
cana-2864	94	2	of	of	ADP
cana-2864	94	3	these	these	DET
cana-2864	94	4	metrics	metric	NOUN
cana-2864	94	5	over	over	ADP
cana-2864	94	6	epochs	epoch	NOUN
cana-2864	94	7	allows	allow	VERB
cana-2864	94	8	one	one	NUM
cana-2864	94	9	to	to	PART
cana-2864	94	10	effectively	effectively	ADV
cana-2864	94	11	assess	assess	VERB
cana-2864	94	12	the	the	DET
cana-2864	94	13	performance	performance	NOUN
cana-2864	94	14	of	of	ADP
cana-2864	94	15	the	the	DET
cana-2864	94	16	model	model	NOUN
cana-2864	94	17	and	and	CCONJ
cana-2864	94	18	indicates	indicate	VERB
cana-2864	94	19	potential	potential	ADJ
cana-2864	94	20	overfitting	overfitting	NOUN
cana-2864	94	21	.	.	PUNCT
cana-2864	95	1	after	after	ADP
cana-2864	95	2	training	train	VERB
cana-2864	95	3	the	the	DET
cana-2864	95	4	model	model	NOUN
cana-2864	95	5	,	,	PUNCT
cana-2864	95	6	it	it	PRON
cana-2864	95	7	is	be	AUX
cana-2864	95	8	then	then	ADV
cana-2864	95	9	applied	apply	VERB
cana-2864	95	10	to	to	ADP
cana-2864	95	11	a	a	DET
cana-2864	95	12	different	different	ADJ
cana-2864	95	13	test	test	NOUN
cana-2864	95	14	dataset	dataset	VERB
cana-2864	95	15	to	to	PART
cana-2864	95	16	carry	carry	VERB
cana-2864	95	17	out	out	ADP
cana-2864	95	18	testing	testing	NOUN
cana-2864	95	19	and	and	CCONJ
cana-2864	95	20	prediction	prediction	NOUN
cana-2864	95	21	.	.	PUNCT
cana-2864	96	1	in	in	ADP
cana-2864	96	2	terms	term	NOUN
cana-2864	96	3	of	of	ADP
cana-2864	96	4	probabilities	probability	NOUN
cana-2864	96	5	,	,	PUNCT
cana-2864	96	6	each	each	DET
cana-2864	96	7	prediction	prediction	NOUN
cana-2864	96	8	will	will	AUX
cana-2864	96	9	return	return	VERB
cana-2864	96	10	one	one	NUM
cana-2864	96	11	of	of	ADP
cana-2864	96	12	four	four	NUM
cana-2864	96	13	classes	class	NOUN
cana-2864	96	14	:	:	PUNCT
cana-2864	96	15	healthy	healthy	ADJ
cana-2864	96	16	communications	communication	NOUN
cana-2864	96	17	on	on	ADP
cana-2864	96	18	applied	apply	VERB
cana-2864	96	19	nonlinear	nonlinear	ADJ
cana-2864	96	20	analysis	analysis	NOUN
cana-2864	96	21	issn	issn	NOUN
cana-2864	96	22	:	:	PUNCT
cana-2864	96	23	1074	1074	NUM
cana-2864	96	24	-	-	PUNCT
cana-2864	96	25	133x	133x	NUM
cana-2864	96	26	vol	vol	NOUN
cana-2864	96	27	32	32	NUM
cana-2864	96	28	no	no	NOUN
cana-2864	96	29	.	.	PUNCT
cana-2864	97	1	4s	4s	NUM
cana-2864	97	2	(	(	PUNCT
cana-2864	97	3	2025	2025	NUM
cana-2864	97	4	)	)	PUNCT
cana-2864	98	1	463	463	NUM
cana-2864	98	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	98	3	leaves	leave	NOUN
cana-2864	98	4	,	,	PUNCT
cana-2864	98	5	multiple	multiple	ADJ
cana-2864	98	6	diseases	disease	NOUN
cana-2864	98	7	,	,	PUNCT
cana-2864	98	8	rust	rust	NOUN
cana-2864	98	9	,	,	PUNCT
cana-2864	98	10	or	or	CCONJ
cana-2864	98	11	scab	scab	NOUN
cana-2864	98	12	.	.	PUNCT
cana-2864	99	1	to	to	PART
cana-2864	99	2	evaluate	evaluate	VERB
cana-2864	99	3	it	it	PRON
cana-2864	99	4	more	more	ADV
cana-2864	99	5	robustly	robustly	ADV
cana-2864	99	6	,	,	PUNCT
cana-2864	99	7	we	we	PRON
cana-2864	99	8	continue	continue	VERB
cana-2864	99	9	with	with	ADP
cana-2864	99	10	a	a	DET
cana-2864	99	11	detailed	detailed	ADJ
cana-2864	99	12	performance	performance	NOUN
cana-2864	99	13	analysis	analysis	NOUN
cana-2864	99	14	that	that	PRON
cana-2864	99	15	includes	include	VERB
cana-2864	99	16	confusion	confusion	NOUN
cana-2864	99	17	matrices	matrix	NOUN
cana-2864	99	18	,	,	PUNCT
cana-2864	99	19	classification	classification	NOUN
cana-2864	99	20	reports	report	NOUN
cana-2864	99	21	(	(	PUNCT
cana-2864	99	22	precision	precision	NOUN
cana-2864	99	23	,	,	PUNCT
cana-2864	99	24	recall	recall	NOUN
cana-2864	99	25	,	,	PUNCT
cana-2864	99	26	f1score	f1score	NOUN
cana-2864	99	27	)	)	PUNCT
cana-2864	99	28	as	as	ADV
cana-2864	99	29	well	well	ADV
cana-2864	99	30	as	as	ADP
cana-2864	99	31	roc	roc	PROPN
cana-2864	99	32	curves	curve	NOUN
cana-2864	99	33	with	with	ADP
cana-2864	99	34	auc	auc	NOUN
cana-2864	99	35	scores	score	NOUN
cana-2864	99	36	.	.	PUNCT
cana-2864	100	1	this	this	DET
cana-2864	100	2	approach	approach	NOUN
cana-2864	100	3	combines	combine	VERB
cana-2864	100	4	best	well	ADV
cana-2864	100	5	-	-	PUNCT
cana-2864	100	6	in	in	ADP
cana-2864	100	7	-	-	PUNCT
cana-2864	100	8	class	class	NOUN
cana-2864	100	9	deep	deep	ADJ
cana-2864	100	10	learning	learning	NOUN
cana-2864	100	11	architectures	architecture	NOUN
cana-2864	100	12	with	with	ADP
cana-2864	100	13	intensive	intensive	ADJ
cana-2864	100	14	,	,	PUNCT
cana-2864	100	15	carefully	carefully	ADV
cana-2864	100	16	crafted	craft	VERB
cana-2864	100	17	data	datum	NOUN
cana-2864	100	18	pre	pre	ADJ
cana-2864	100	19	-	-	ADJ
cana-2864	100	20	processing	processing	ADJ
cana-2864	100	21	and	and	CCONJ
cana-2864	100	22	training	training	NOUN
cana-2864	100	23	strategies	strategy	NOUN
cana-2864	100	24	.	.	PUNCT
cana-2864	101	1	we	we	PRON
cana-2864	101	2	enhance	enhance	VERB
cana-2864	101	3	both	both	PRON
cana-2864	101	4	xception	xception	NOUN
cana-2864	101	5	and	and	CCONJ
cana-2864	101	6	densenet121	densenet121	PROPN
cana-2864	101	7	model	model	NOUN
cana-2864	101	8	strengths	strength	NOUN
cana-2864	101	9	by	by	ADP
cana-2864	101	10	using	use	VERB
cana-2864	101	11	an	an	DET
cana-2864	101	12	ensemble	ensemble	ADJ
cana-2864	101	13	approach	approach	NOUN
cana-2864	101	14	combined	combine	VERB
cana-2864	101	15	with	with	ADP
cana-2864	101	16	a	a	DET
cana-2864	101	17	custom	custom	NOUN
cana-2864	101	18	learning	learning	NOUN
cana-2864	101	19	rate	rate	NOUN
cana-2864	101	20	schedule	schedule	NOUN
cana-2864	101	21	and	and	CCONJ
cana-2864	101	22	data	datum	NOUN
cana-2864	101	23	augmentation	augmentation	NOUN
cana-2864	101	24	techniques	technique	NOUN
cana-2864	101	25	that	that	PRON
cana-2864	101	26	enhance	enhance	VERB
cana-2864	101	27	the	the	DET
cana-2864	101	28	generalization	generalization	NOUN
cana-2864	101	29	capability	capability	NOUN
cana-2864	101	30	of	of	ADP
cana-2864	101	31	the	the	DET
cana-2864	101	32	model	model	NOUN
cana-2864	101	33	.	.	PUNCT
cana-2864	102	1	this	this	DET
cana-2864	102	2	method	method	NOUN
cana-2864	102	3	is	be	AUX
cana-2864	102	4	thus	thus	ADV
cana-2864	102	5	helpful	helpful	ADJ
cana-2864	102	6	for	for	ADP
cana-2864	102	7	the	the	DET
cana-2864	102	8	effective	effective	ADJ
cana-2864	102	9	detection	detection	NOUN
cana-2864	102	10	of	of	ADP
cana-2864	102	11	plant	plant	NOUN
cana-2864	102	12	diseases	disease	NOUN
cana-2864	102	13	and	and	CCONJ
cana-2864	102	14	supports	support	VERB
cana-2864	102	15	sustainable	sustainable	ADJ
cana-2864	102	16	agriculture	agriculture	NOUN
cana-2864	102	17	with	with	ADP
cana-2864	102	18	the	the	DET
cana-2864	102	19	help	help	NOUN
cana-2864	102	20	of	of	ADP
cana-2864	102	21	such	such	ADJ
cana-2864	102	22	interventions	intervention	NOUN
cana-2864	102	23	based	base	VERB
cana-2864	102	24	on	on	ADP
cana-2864	102	25	correct	correct	ADJ
cana-2864	102	26	diagnoses	diagnosis	NOUN
cana-2864	102	27	.	.	PUNCT
cana-2864	103	1	4	4	X
cana-2864	103	2	.	.	X
cana-2864	103	3	algorithm	algorithm	NOUN
cana-2864	103	4	description	description	NOUN
cana-2864	103	5	our	our	PRON
cana-2864	103	6	ensemble	ensemble	ADV
cana-2864	103	7	-	-	PUNCT
cana-2864	103	8	based	base	VERB
cana-2864	103	9	algorithm	algorithm	NOUN
cana-2864	103	10	for	for	ADP
cana-2864	103	11	plant	plant	NOUN
cana-2864	103	12	leaf	leaf	NOUN
cana-2864	103	13	disease	disease	NOUN
cana-2864	103	14	detection	detection	NOUN
cana-2864	103	15	begins	begin	VERB
cana-2864	103	16	from	from	ADP
cana-2864	103	17	the	the	DET
cana-2864	103	18	pre	pre	NOUN
cana-2864	103	19	-	-	NOUN
cana-2864	103	20	processing	processing	NOUN
cana-2864	103	21	of	of	ADP
cana-2864	103	22	the	the	DET
cana-2864	103	23	input	input	NOUN
cana-2864	103	24	images	image	NOUN
cana-2864	103	25	.	.	PUNCT
cana-2864	104	1	input	input	NOUN
cana-2864	104	2	rgb	rgb	PROPN
cana-2864	104	3	image	image	NOUN
cana-2864	104	4	for	for	ADP
cana-2864	104	5	a	a	DET
cana-2864	104	6	plant	plant	NOUN
cana-2864	104	7	leaf	leaf	NOUN
cana-2864	104	8	is	be	AUX
cana-2864	104	9	resized	resize	VERB
cana-2864	104	10	uniformly	uniformly	ADV
cana-2864	104	11	to	to	ADP
cana-2864	104	12	512x512	512x512	PROPN
cana-2864	104	13	pixels	pixel	NOUN
cana-2864	104	14	across	across	ADP
cana-2864	104	15	the	the	DET
cana-2864	104	16	dataset	dataset	NOUN
cana-2864	104	17	.	.	PUNCT
cana-2864	105	1	the	the	DET
cana-2864	105	2	pixel	pixel	PROPN
cana-2864	105	3	values	value	NOUN
cana-2864	105	4	are	be	AUX
cana-2864	105	5	further	far	ADV
cana-2864	105	6	normalized	normalize	VERB
cana-2864	105	7	to	to	ADP
cana-2864	105	8	the	the	DET
cana-2864	105	9	range	range	NOUN
cana-2864	105	10	of	of	ADP
cana-2864	105	11	[	[	X
cana-2864	105	12	0	0	NUM
cana-2864	105	13	,	,	PUNCT
cana-2864	105	14	1	1	NUM
cana-2864	105	15	]	]	PUNCT
cana-2864	105	16	,	,	PUNCT
cana-2864	105	17	which	which	PRON
cana-2864	105	18	generally	generally	ADV
cana-2864	105	19	improves	improve	VERB
cana-2864	105	20	the	the	DET
cana-2864	105	21	model	model	NOUN
cana-2864	105	22	's	's	PART
cana-2864	105	23	performance	performance	NOUN
cana-2864	105	24	during	during	ADP
cana-2864	105	25	training	training	NOUN
cana-2864	105	26	due	due	ADP
cana-2864	105	27	to	to	ADP
cana-2864	105	28	a	a	DET
cana-2864	105	29	consistent	consistent	ADJ
cana-2864	105	30	scale	scale	NOUN
cana-2864	105	31	of	of	ADP
cana-2864	105	32	input	input	NOUN
cana-2864	105	33	.	.	PUNCT
cana-2864	106	1	we	we	PRON
cana-2864	106	2	applied	apply	VERB
cana-2864	106	3	various	various	ADJ
cana-2864	106	4	data	datum	NOUN
cana-2864	106	5	augmentation	augmentation	NOUN
cana-2864	106	6	techniques	technique	NOUN
cana-2864	106	7	during	during	ADP
cana-2864	106	8	the	the	DET
cana-2864	106	9	training	training	NOUN
cana-2864	106	10	phase	phase	NOUN
cana-2864	106	11	to	to	PART
cana-2864	106	12	enhance	enhance	VERB
cana-2864	106	13	the	the	DET
cana-2864	106	14	robustness	robustness	NOUN
cana-2864	106	15	and	and	CCONJ
cana-2864	106	16	generalization	generalization	NOUN
cana-2864	106	17	of	of	ADP
cana-2864	106	18	our	our	PRON
cana-2864	106	19	model	model	NOUN
cana-2864	106	20	.	.	PUNCT
cana-2864	107	1	it	it	PRON
cana-2864	107	2	includes	include	VERB
cana-2864	107	3	random	random	ADJ
cana-2864	107	4	transformations	transformation	NOUN
cana-2864	107	5	in	in	ADP
cana-2864	107	6	terms	term	NOUN
cana-2864	107	7	of	of	ADP
cana-2864	107	8	rotation	rotation	NOUN
cana-2864	107	9	of	of	ADP
cana-2864	107	10	up	up	ADP
cana-2864	107	11	to	to	PART
cana-2864	107	12	180	180	NUM
cana-2864	107	13	degrees	degree	NOUN
cana-2864	107	14	,	,	PUNCT
cana-2864	107	15	a	a	DET
cana-2864	107	16	zoom	zoom	NOUN
cana-2864	107	17	of	of	ADP
cana-2864	107	18	up	up	ADP
cana-2864	107	19	to	to	PART
cana-2864	107	20	15	15	NUM
cana-2864	107	21	percent	percent	NOUN
cana-2864	107	22	,	,	PUNCT
cana-2864	107	23	a	a	DET
cana-2864	107	24	horizontal	horizontal	ADJ
cana-2864	107	25	and	and	CCONJ
cana-2864	107	26	vertical	vertical	ADJ
cana-2864	107	27	shift	shift	NOUN
cana-2864	107	28	of	of	ADP
cana-2864	107	29	up	up	ADP
cana-2864	107	30	to	to	PART
cana-2864	107	31	15	15	NUM
cana-2864	107	32	percent	percent	NOUN
cana-2864	107	33	,	,	PUNCT
cana-2864	107	34	and	and	CCONJ
cana-2864	107	35	a	a	DET
cana-2864	107	36	random	random	ADJ
cana-2864	107	37	horizontal	horizontal	ADJ
cana-2864	107	38	and	and	CCONJ
cana-2864	107	39	vertical	vertical	ADJ
cana-2864	107	40	flip	flip	NOUN
cana-2864	107	41	.	.	PUNCT
cana-2864	108	1	all	all	DET
cana-2864	108	2	these	these	DET
cana-2864	108	3	transformations	transformation	NOUN
cana-2864	108	4	allow	allow	VERB
cana-2864	108	5	the	the	DET
cana-2864	108	6	model	model	NOUN
cana-2864	108	7	to	to	PART
cana-2864	108	8	learn	learn	VERB
cana-2864	108	9	diversified	diversified	ADJ
cana-2864	108	10	variants	variant	NOUN
cana-2864	108	11	of	of	ADP
cana-2864	108	12	the	the	DET
cana-2864	108	13	training	training	NOUN
cana-2864	108	14	images	image	NOUN
cana-2864	108	15	through	through	ADP
cana-2864	108	16	diverse	diverse	ADJ
cana-2864	108	17	sets	set	NOUN
cana-2864	108	18	of	of	ADP
cana-2864	108	19	scenarios	scenario	NOUN
cana-2864	108	20	.	.	PUNCT
cana-2864	109	1	after	after	ADP
cana-2864	109	2	pre	pre	ADJ
cana-2864	109	3	-	-	ADJ
cana-2864	109	4	processing	processing	NOUN
cana-2864	109	5	and	and	CCONJ
cana-2864	109	6	augmentation	augmentation	NOUN
cana-2864	109	7	,	,	PUNCT
cana-2864	109	8	feature	feature	NOUN
cana-2864	109	9	extraction	extraction	NOUN
cana-2864	109	10	is	be	AUX
cana-2864	109	11	then	then	ADV
cana-2864	109	12	performed	perform	VERB
cana-2864	109	13	.	.	PUNCT
cana-2864	110	1	two	two	NUM
cana-2864	110	2	state	state	NOUN
cana-2864	110	3	-	-	PUNCT
cana-2864	110	4	of	of	ADP
cana-2864	110	5	-	-	PUNCT
cana-2864	110	6	the	the	DET
cana-2864	110	7	-	-	PUNCT
cana-2864	110	8	art	art	NOUN
cana-2864	110	9	models	model	NOUN
cana-2864	110	10	of	of	ADP
cana-2864	110	11	pre	pre	ADJ
cana-2864	110	12	-	-	ADJ
cana-2864	110	13	processed	process	VERB
cana-2864	110	14	images	image	NOUN
cana-2864	110	15	have	have	AUX
cana-2864	110	16	been	be	AUX
cana-2864	110	17	used	use	VERB
cana-2864	110	18	xception	xception	NOUN
cana-2864	110	19	and	and	CCONJ
cana-2864	110	20	densenet121	densenet121	PROPN
cana-2864	110	21	for	for	ADP
cana-2864	110	22	the	the	DET
cana-2864	110	23	feature	feature	NOUN
cana-2864	110	24	extraction	extraction	NOUN
cana-2864	110	25	.	.	PUNCT
cana-2864	111	1	this	this	PRON
cana-2864	111	2	is	be	AUX
cana-2864	111	3	because	because	SCONJ
cana-2864	111	4	the	the	DET
cana-2864	111	5	xception	xception	PROPN
cana-2864	111	6	model	model	NOUN
cana-2864	111	7	passes	pass	VERB
cana-2864	111	8	convolutional	convolutional	ADJ
cana-2864	111	9	layers	layer	NOUN
cana-2864	111	10	directly	directly	ADV
cana-2864	111	11	to	to	PART
cana-2864	111	12	extract	extract	VERB
cana-2864	111	13	features	feature	NOUN
cana-2864	111	14	from	from	ADP
cana-2864	111	15	the	the	DET
cana-2864	111	16	input	input	NOUN
cana-2864	111	17	images	image	NOUN
cana-2864	111	18	and	and	CCONJ
cana-2864	111	19	then	then	ADV
cana-2864	111	20	passes	pass	VERB
cana-2864	111	21	it	it	PRON
cana-2864	111	22	to	to	ADP
cana-2864	111	23	the	the	DET
cana-2864	111	24	global	global	ADJ
cana-2864	111	25	average	average	ADJ
cana-2864	111	26	pooling	pooling	NOUN
cana-2864	111	27	to	to	PART
cana-2864	111	28	condense	condense	VERB
cana-2864	111	29	the	the	DET
cana-2864	111	30	output	output	NOUN
cana-2864	111	31	feature	feature	NOUN
cana-2864	111	32	map	map	NOUN
cana-2864	111	33	.	.	PUNCT
cana-2864	112	1	the	the	DET
cana-2864	112	2	same	same	ADJ
cana-2864	112	3	thing	thing	NOUN
cana-2864	112	4	happens	happen	VERB
cana-2864	112	5	in	in	ADP
cana-2864	112	6	the	the	DET
cana-2864	112	7	case	case	NOUN
cana-2864	112	8	of	of	ADP
cana-2864	112	9	the	the	DET
cana-2864	112	10	densenet121	densenet121	PROPN
cana-2864	112	11	model	model	NOUN
cana-2864	112	12	,	,	PUNCT
cana-2864	112	13	wherein	wherein	SCONJ
cana-2864	112	14	the	the	DET
cana-2864	112	15	images	image	NOUN
cana-2864	112	16	being	be	AUX
cana-2864	112	17	processed	process	VERB
cana-2864	112	18	undergo	undergo	NOUN
cana-2864	112	19	convolutional	convolutional	ADJ
cana-2864	112	20	layers	layer	NOUN
cana-2864	112	21	and	and	CCONJ
cana-2864	112	22	global	global	ADJ
cana-2864	112	23	average	average	ADJ
cana-2864	112	24	pooling	pooling	NOUN
cana-2864	112	25	is	be	AUX
cana-2864	112	26	used	use	VERB
cana-2864	112	27	directly	directly	ADV
cana-2864	112	28	on	on	ADP
cana-2864	112	29	its	its	PRON
cana-2864	112	30	output	output	NOUN
cana-2864	112	31	.	.	PUNCT
cana-2864	113	1	it	it	PRON
cana-2864	113	2	is	be	AUX
cana-2864	113	3	this	this	DET
cana-2864	113	4	dual	dual	ADJ
cana-2864	113	5	strategy	strategy	NOUN
cana-2864	113	6	that	that	PRON
cana-2864	113	7	makes	make	VERB
cana-2864	113	8	it	it	PRON
cana-2864	113	9	possible	possible	ADJ
cana-2864	113	10	for	for	SCONJ
cana-2864	113	11	our	our	PRON
cana-2864	113	12	system	system	NOUN
cana-2864	113	13	to	to	PART
cana-2864	113	14	make	make	VERB
cana-2864	113	15	use	use	NOUN
cana-2864	113	16	of	of	ADP
cana-2864	113	17	the	the	DET
cana-2864	113	18	advantages	advantage	NOUN
cana-2864	113	19	of	of	ADP
cana-2864	113	20	both	both	DET
cana-2864	113	21	architectures	architecture	NOUN
cana-2864	113	22	for	for	ADP
cana-2864	113	23	feature	feature	NOUN
cana-2864	113	24	extraction	extraction	NOUN
cana-2864	113	25	in	in	ADP
cana-2864	113	26	plant	plant	NOUN
cana-2864	113	27	images	image	NOUN
cana-2864	113	28	.	.	PUNCT
cana-2864	114	1	a	a	DET
cana-2864	114	2	major	major	ADJ
cana-2864	114	3	method	method	NOUN
cana-2864	114	4	here	here	ADV
cana-2864	114	5	would	would	AUX
cana-2864	114	6	be	be	AUX
cana-2864	114	7	ensemble	ensemble	ADJ
cana-2864	114	8	prediction	prediction	NOUN
cana-2864	114	9	,	,	PUNCT
cana-2864	114	10	which	which	PRON
cana-2864	114	11	averages	average	VERB
cana-2864	114	12	the	the	DET
cana-2864	114	13	feature	feature	NOUN
cana-2864	114	14	set	set	NOUN
cana-2864	114	15	obtained	obtain	VERB
cana-2864	114	16	both	both	PRON
cana-2864	114	17	from	from	ADP
cana-2864	114	18	the	the	DET
cana-2864	114	19	xception	xception	NOUN
cana-2864	114	20	and	and	CCONJ
cana-2864	114	21	that	that	PRON
cana-2864	114	22	obtained	obtain	VERB
cana-2864	114	23	from	from	ADP
cana-2864	114	24	the	the	DET
cana-2864	114	25	densenet121	densenet121	PROPN
cana-2864	114	26	models	model	NOUN
cana-2864	114	27	.	.	PUNCT
cana-2864	115	1	this	this	DET
cana-2864	115	2	average	average	NOUN
cana-2864	115	3	is	be	AUX
cana-2864	115	4	then	then	ADV
cana-2864	115	5	fed	feed	VERB
cana-2864	115	6	into	into	ADP
cana-2864	115	7	a	a	DET
cana-2864	115	8	fully	fully	ADV
cana-2864	115	9	connected	connect	VERB
cana-2864	115	10	layer	layer	NOUN
cana-2864	115	11	with	with	ADP
cana-2864	115	12	softmax	softmax	ADJ
cana-2864	115	13	activation	activation	NOUN
cana-2864	115	14	that	that	PRON
cana-2864	115	15	understands	understand	VERB
cana-2864	115	16	the	the	DET
cana-2864	115	17	output	output	NOUN
cana-2864	115	18	as	as	ADP
cana-2864	115	19	class	class	NOUN
cana-2864	115	20	probabilities	probability	NOUN
cana-2864	115	21	for	for	ADP
cana-2864	115	22	classifying	classify	VERB
cana-2864	115	23	the	the	DET
cana-2864	115	24	diseases	disease	NOUN
cana-2864	115	25	into	into	ADP
cana-2864	115	26	one	one	NUM
cana-2864	115	27	of	of	ADP
cana-2864	115	28	the	the	DET
cana-2864	115	29	categories	category	NOUN
cana-2864	115	30	based	base	VERB
cana-2864	115	31	on	on	ADP
cana-2864	115	32	the	the	DET
cana-2864	115	33	input	input	NOUN
cana-2864	115	34	image	image	NOUN
cana-2864	115	35	:	:	PUNCT
cana-2864	115	36	healthy	healthy	ADJ
cana-2864	115	37	,	,	PUNCT
cana-2864	115	38	multiple	multiple	ADJ
cana-2864	115	39	diseases	disease	NOUN
cana-2864	115	40	,	,	PUNCT
cana-2864	115	41	rust	rust	NOUN
cana-2864	115	42	,	,	PUNCT
cana-2864	115	43	or	or	CCONJ
cana-2864	115	44	scab	scab	NOUN
cana-2864	115	45	.	.	PUNCT
cana-2864	116	1	the	the	DET
cana-2864	116	2	class	class	NOUN
cana-2864	116	3	with	with	ADP
cana-2864	116	4	the	the	DET
cana-2864	116	5	maximum	maximum	ADJ
cana-2864	116	6	likelihood	likelihood	NOUN
cana-2864	116	7	is	be	AUX
cana-2864	116	8	picked	pick	VERB
cana-2864	116	9	for	for	ADP
cana-2864	116	10	the	the	DET
cana-2864	116	11	predicted	predict	VERB
cana-2864	116	12	disease	disease	NOUN
cana-2864	116	13	,	,	PUNCT
cana-2864	116	14	but	but	CCONJ
cana-2864	116	15	this	this	DET
cana-2864	116	16	likelihood	likelihood	NOUN
cana-2864	116	17	also	also	ADV
cana-2864	116	18	serves	serve	VERB
cana-2864	116	19	as	as	ADP
cana-2864	116	20	the	the	DET
cana-2864	116	21	confidence	confidence	NOUN
cana-2864	116	22	score	score	NOUN
cana-2864	116	23	of	of	ADP
cana-2864	116	24	the	the	DET
cana-2864	116	25	prediction	prediction	NOUN
cana-2864	116	26	.	.	PUNCT
cana-2864	117	1	to	to	PART
cana-2864	117	2	further	far	ADV
cana-2864	117	3	optimize	optimize	VERB
cana-2864	117	4	the	the	DET
cana-2864	117	5	training	training	NOUN
cana-2864	117	6	,	,	PUNCT
cana-2864	117	7	we	we	PRON
cana-2864	117	8	apply	apply	VERB
cana-2864	117	9	a	a	DET
cana-2864	117	10	custom	custom	NOUN
cana-2864	117	11	learning	learning	NOUN
cana-2864	117	12	rate	rate	NOUN
cana-2864	117	13	schedule	schedule	NOUN
cana-2864	117	14	.	.	PUNCT
cana-2864	118	1	in	in	ADP
cana-2864	118	2	epochs	epoch	NOUN
cana-2864	118	3	1	1	NUM
cana-2864	118	4	-	-	SYM
cana-2864	118	5	15	15	NUM
cana-2864	118	6	,	,	PUNCT
cana-2864	118	7	we	we	PRON
cana-2864	118	8	linearly	linearly	ADV
cana-2864	118	9	increase	increase	VERB
cana-2864	118	10	the	the	DET
cana-2864	118	11	lr	lr	NOUN
cana-2864	118	12	from	from	ADP
cana-2864	118	13	an	an	DET
cana-2864	118	14	initial	initial	ADJ
cana-2864	118	15	value	value	NOUN
cana-2864	118	16	(	(	PUNCT
cana-2864	118	17	lr_start	lr_start	PROPN
cana-2864	118	18	)	)	PUNCT
cana-2864	118	19	up	up	ADP
cana-2864	118	20	to	to	ADP
cana-2864	118	21	a	a	DET
cana-2864	118	22	maximum	maximum	ADJ
cana-2864	118	23	value	value	NOUN
cana-2864	118	24	(	(	PUNCT
cana-2864	118	25	lr_max	lr_max	PROPN
cana-2864	118	26	)	)	PUNCT
cana-2864	118	27	.	.	PUNCT
cana-2864	119	1	in	in	ADP
cana-2864	119	2	epochs	epoch	NOUN
cana-2864	119	3	16	16	NUM
cana-2864	119	4	-	-	SYM
cana-2864	119	5	18	18	NUM
cana-2864	119	6	,	,	PUNCT
cana-2864	119	7	we	we	PRON
cana-2864	119	8	keep	keep	VERB
cana-2864	119	9	that	that	DET
cana-2864	119	10	maximum	maximum	ADJ
cana-2864	119	11	learning	learning	NOUN
cana-2864	119	12	rate	rate	NOUN
cana-2864	119	13	.	.	PUNCT
cana-2864	120	1	finally	finally	ADV
cana-2864	120	2	,	,	PUNCT
cana-2864	120	3	for	for	ADP
cana-2864	120	4	epoch	epoch	NOUN
cana-2864	120	5	19	19	NUM
cana-2864	120	6	and	and	CCONJ
cana-2864	120	7	beyond	beyond	ADV
cana-2864	120	8	,	,	PUNCT
cana-2864	120	9	we	we	PRON
cana-2864	120	10	exponentially	exponentially	ADV
cana-2864	120	11	decay	decay	VERB
cana-2864	120	12	the	the	DET
cana-2864	120	13	learning	learning	NOUN
cana-2864	120	14	rate	rate	NOUN
cana-2864	120	15	from	from	ADP
cana-2864	120	16	lr_max	lr_max	PROPN
cana-2864	120	17	to	to	ADP
cana-2864	120	18	a	a	DET
cana-2864	120	19	minimum	minimum	NOUN
cana-2864	120	20	value	value	NOUN
cana-2864	120	21	lr_min	lr_min	PROPN
cana-2864	120	22	.	.	PUNCT
cana-2864	121	1	this	this	PRON
cana-2864	121	2	provides	provide	VERB
cana-2864	121	3	us	we	PRON
cana-2864	121	4	with	with	ADP
cana-2864	121	5	a	a	DET
cana-2864	121	6	structured	structured	ADJ
cana-2864	121	7	balance	balance	NOUN
cana-2864	121	8	between	between	ADP
cana-2864	121	9	learning	learn	VERB
cana-2864	121	10	stability	stability	NOUN
cana-2864	121	11	and	and	CCONJ
cana-2864	121	12	speed	speed	NOUN
cana-2864	121	13	while	while	SCONJ
cana-2864	121	14	training	training	NOUN
cana-2864	121	15	.	.	PUNCT
cana-2864	122	1	communications	communication	NOUN
cana-2864	122	2	on	on	ADP
cana-2864	122	3	applied	apply	VERB
cana-2864	122	4	nonlinear	nonlinear	ADJ
cana-2864	122	5	analysis	analysis	NOUN
cana-2864	122	6	issn	issn	NOUN
cana-2864	122	7	:	:	PUNCT
cana-2864	122	8	1074	1074	NUM
cana-2864	122	9	-	-	PUNCT
cana-2864	122	10	133x	133x	NUM
cana-2864	122	11	vol	vol	NOUN
cana-2864	122	12	32	32	NUM
cana-2864	122	13	no	no	NOUN
cana-2864	122	14	.	.	PUNCT
cana-2864	123	1	4s	4s	NUM
cana-2864	123	2	(	(	PUNCT
cana-2864	123	3	2025	2025	NUM
cana-2864	123	4	)	)	PUNCT
cana-2864	123	5	464	464	NUM
cana-2864	123	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	123	7	we	we	PRON
cana-2864	123	8	initialize	initialize	VERB
cana-2864	123	9	model	model	NOUN
cana-2864	123	10	weights	weight	NOUN
cana-2864	123	11	with	with	ADP
cana-2864	123	12	pre	pre	ADJ
cana-2864	123	13	-	-	ADJ
cana-2864	123	14	trained	trained	ADJ
cana-2864	123	15	weights	weight	NOUN
cana-2864	123	16	of	of	ADP
cana-2864	123	17	imagenet	imagenet	NOUN
cana-2864	123	18	for	for	ADP
cana-2864	123	19	both	both	DET
cana-2864	123	20	xception	xception	NOUN
cana-2864	123	21	and	and	CCONJ
cana-2864	123	22	densenet121	densenet121	PROPN
cana-2864	123	23	during	during	ADP
cana-2864	123	24	model	model	NOUN
cana-2864	123	25	training	training	NOUN
cana-2864	123	26	.	.	PUNCT
cana-2864	124	1	in	in	ADP
cana-2864	124	2	each	each	DET
cana-2864	124	3	epoch	epoch	NOUN
cana-2864	124	4	,	,	PUNCT
cana-2864	124	5	we	we	PRON
cana-2864	124	6	adjust	adjust	VERB
cana-2864	124	7	the	the	DET
cana-2864	124	8	learning	learning	NOUN
cana-2864	124	9	rate	rate	NOUN
cana-2864	124	10	according	accord	VERB
cana-2864	124	11	to	to	ADP
cana-2864	124	12	our	our	PRON
cana-2864	124	13	schedule	schedule	NOUN
cana-2864	124	14	and	and	CCONJ
cana-2864	124	15	make	make	VERB
cana-2864	124	16	a	a	DET
cana-2864	124	17	forward	forward	ADJ
cana-2864	124	18	pass	pass	NOUN
cana-2864	124	19	through	through	ADP
cana-2864	124	20	the	the	DET
cana-2864	124	21	ensemble	ensemble	ADJ
cana-2864	124	22	model	model	NOUN
cana-2864	124	23	for	for	ADP
cana-2864	124	24	every	every	DET
cana-2864	124	25	batch	batch	NOUN
cana-2864	124	26	of	of	ADP
cana-2864	124	27	augmented	augment	VERB
cana-2864	124	28	training	training	NOUN
cana-2864	124	29	images	image	NOUN
cana-2864	124	30	.	.	PUNCT
cana-2864	125	1	we	we	PRON
cana-2864	125	2	are	be	AUX
cana-2864	125	3	computing	compute	VERB
cana-2864	125	4	the	the	DET
cana-2864	125	5	categorical	categorical	ADJ
cana-2864	125	6	cross	cross	ADJ
cana-2864	125	7	-	-	ADJ
cana-2864	125	8	entropy	entropy	ADJ
cana-2864	125	9	loss	loss	NOUN
cana-2864	125	10	and	and	CCONJ
cana-2864	125	11	updating	update	VERB
cana-2864	125	12	the	the	DET
cana-2864	125	13	model	model	NOUN
cana-2864	125	14	weights	weight	NOUN
cana-2864	125	15	using	use	VERB
cana-2864	125	16	the	the	DET
cana-2864	125	17	adam	adam	PROPN
cana-2864	125	18	optimizer	optimizer	NOUN
cana-2864	125	19	appropriately	appropriately	ADV
cana-2864	125	20	.	.	PUNCT
cana-2864	126	1	after	after	ADP
cana-2864	126	2	every	every	DET
cana-2864	126	3	epoch	epoch	NOUN
cana-2864	126	4	,	,	PUNCT
cana-2864	126	5	we	we	PRON
cana-2864	126	6	are	be	AUX
cana-2864	126	7	evaluating	evaluate	VERB
cana-2864	126	8	the	the	DET
cana-2864	126	9	performance	performance	NOUN
cana-2864	126	10	on	on	ADP
cana-2864	126	11	a	a	DET
cana-2864	126	12	validation	validation	NOUN
cana-2864	126	13	set	set	NOUN
cana-2864	126	14	and	and	CCONJ
cana-2864	126	15	saving	save	VERB
cana-2864	126	16	the	the	DET
cana-2864	126	17	model	model	NOUN
cana-2864	126	18	if	if	SCONJ
cana-2864	126	19	we	we	PRON
cana-2864	126	20	have	have	AUX
cana-2864	126	21	seen	see	VERB
cana-2864	126	22	an	an	DET
cana-2864	126	23	improvement	improvement	NOUN
cana-2864	126	24	on	on	ADP
cana-2864	126	25	the	the	DET
cana-2864	126	26	validation	validation	NOUN
cana-2864	126	27	accuracy	accuracy	NOUN
cana-2864	126	28	.	.	PUNCT
cana-2864	127	1	for	for	ADP
cana-2864	127	2	inference	inference	NOUN
cana-2864	127	3	,	,	PUNCT
cana-2864	127	4	we	we	PRON
cana-2864	127	5	load	load	VERB
cana-2864	127	6	the	the	DET
cana-2864	127	7	best	good	ADJ
cana-2864	127	8	saved	save	VERB
cana-2864	127	9	model	model	NOUN
cana-2864	127	10	weights	weight	NOUN
cana-2864	127	11	and	and	CCONJ
cana-2864	127	12	pre	pre	ADJ
cana-2864	127	13	-	-	NOUN
cana-2864	127	14	process	process	NOUN
cana-2864	127	15	each	each	DET
cana-2864	127	16	test	test	NOUN
cana-2864	127	17	image	image	NOUN
cana-2864	127	18	as	as	SCONJ
cana-2864	127	19	explained	explain	VERB
cana-2864	127	20	above	above	ADV
cana-2864	127	21	.	.	PUNCT
cana-2864	128	1	then	then	ADV
cana-2864	128	2	,	,	PUNCT
cana-2864	128	3	we	we	PRON
cana-2864	128	4	perform	perform	VERB
cana-2864	128	5	the	the	DET
cana-2864	128	6	steps	step	NOUN
cana-2864	128	7	of	of	ADP
cana-2864	128	8	feature	feature	NOUN
cana-2864	128	9	extraction	extraction	NOUN
cana-2864	128	10	and	and	CCONJ
cana-2864	128	11	ensemble	ensemble	ADJ
cana-2864	128	12	prediction	prediction	NOUN
cana-2864	128	13	to	to	PART
cana-2864	128	14	output	output	VERB
cana-2864	128	15	classifications	classification	NOUN
cana-2864	128	16	of	of	ADP
cana-2864	128	17	disease	disease	NOUN
cana-2864	128	18	along	along	ADP
cana-2864	128	19	with	with	ADP
cana-2864	128	20	the	the	DET
cana-2864	128	21	associated	associated	ADJ
cana-2864	128	22	confidence	confidence	NOUN
cana-2864	128	23	scores	score	NOUN
cana-2864	128	24	.	.	PUNCT
cana-2864	129	1	this	this	DET
cana-2864	129	2	algorithm	algorithm	NOUN
cana-2864	129	3	provides	provide	VERB
cana-2864	129	4	a	a	DET
cana-2864	129	5	systematic	systematic	ADJ
cana-2864	129	6	overview	overview	NOUN
cana-2864	129	7	of	of	ADP
cana-2864	129	8	our	our	PRON
cana-2864	129	9	approach	approach	NOUN
cana-2864	129	10	,	,	PUNCT
cana-2864	129	11	detailing	detail	VERB
cana-2864	129	12	step	step	NOUN
cana-2864	129	13	-	-	PUNCT
cana-2864	129	14	by	by	ADP
cana-2864	129	15	-	-	PUNCT
cana-2864	129	16	step	step	NOUN
cana-2864	129	17	from	from	ADP
cana-2864	129	18	preprocessing	preprocesse	VERB
cana-2864	129	19	through	through	ADP
cana-2864	129	20	the	the	DET
cana-2864	129	21	feature	feature	NOUN
cana-2864	129	22	extraction	extraction	NOUN
cana-2864	129	23	and	and	CCONJ
cana-2864	129	24	classification	classification	NOUN
cana-2864	129	25	processes	process	NOUN
cana-2864	129	26	toward	toward	ADP
cana-2864	129	27	inference	inference	NOUN
cana-2864	129	28	.	.	PUNCT
cana-2864	130	1	it	it	PRON
cana-2864	130	2	captures	capture	VERB
cana-2864	130	3	key	key	ADJ
cana-2864	130	4	elements	element	NOUN
cana-2864	130	5	of	of	ADP
cana-2864	130	6	our	our	PRON
cana-2864	130	7	methodology	methodology	NOUN
cana-2864	130	8	within	within	ADP
cana-2864	130	9	a	a	DET
cana-2864	130	10	structured	structured	ADJ
cana-2864	130	11	format	format	NOUN
cana-2864	130	12	that	that	PRON
cana-2864	130	13	helps	help	VERB
cana-2864	130	14	gain	gain	VERB
cana-2864	130	15	an	an	DET
cana-2864	130	16	understanding	understanding	NOUN
cana-2864	130	17	of	of	ADP
cana-2864	130	18	the	the	DET
cana-2864	130	19	system	system	NOUN
cana-2864	130	20	under	under	ADP
cana-2864	130	21	study	study	NOUN
cana-2864	130	22	-	-	PUNCT
cana-2864	130	23	the	the	DET
cana-2864	130	24	overall	overall	ADJ
cana-2864	130	25	flow	flow	NOUN
cana-2864	130	26	and	and	CCONJ
cana-2864	130	27	functionality	functionality	NOUN
cana-2864	130	28	of	of	ADP
cana-2864	130	29	our	our	PRON
cana-2864	130	30	plant	plant	NOUN
cana-2864	130	31	leaf	leaf	NOUN
cana-2864	130	32	disease	disease	NOUN
cana-2864	130	33	detection	detection	NOUN
cana-2864	130	34	system	system	NOUN
cana-2864	130	35	.	.	PUNCT
cana-2864	131	1	5	5	X
cana-2864	131	2	.	.	X
cana-2864	131	3	results	result	VERB
cana-2864	131	4	our	our	PRON
cana-2864	131	5	ensemble	ensemble	ADJ
cana-2864	131	6	model	model	NOUN
cana-2864	131	7	,	,	PUNCT
cana-2864	131	8	combining	combine	VERB
cana-2864	131	9	xception	xception	NOUN
cana-2864	131	10	and	and	CCONJ
cana-2864	131	11	densenet121	densenet121	PROPN
cana-2864	131	12	architectures	architecture	NOUN
cana-2864	131	13	,	,	PUNCT
cana-2864	131	14	demonstrated	demonstrate	VERB
cana-2864	131	15	strong	strong	ADJ
cana-2864	131	16	performance	performance	NOUN
cana-2864	131	17	in	in	ADP
cana-2864	131	18	classifying	classify	VERB
cana-2864	131	19	plant	plant	NOUN
cana-2864	131	20	leaf	leaf	NOUN
cana-2864	131	21	diseases	disease	NOUN
cana-2864	131	22	.	.	PUNCT
cana-2864	132	1	we	we	PRON
cana-2864	132	2	present	present	VERB
cana-2864	132	3	the	the	DET
cana-2864	132	4	results	result	NOUN
cana-2864	132	5	of	of	ADP
cana-2864	132	6	our	our	PRON
cana-2864	132	7	experiments	experiment	NOUN
cana-2864	132	8	below	below	ADV
cana-2864	132	9	:	:	PUNCT
cana-2864	132	10	as	as	SCONJ
cana-2864	132	11	shown	show	VERB
cana-2864	132	12	in	in	ADP
cana-2864	132	13	figure	figure	NOUN
cana-2864	132	14	2	2	NUM
cana-2864	132	15	,	,	PUNCT
cana-2864	132	16	our	our	PRON
cana-2864	132	17	model	model	NOUN
cana-2864	132	18	achieved	achieve	VERB
cana-2864	132	19	a	a	DET
cana-2864	132	20	final	final	ADJ
cana-2864	132	21	training	training	NOUN
cana-2864	132	22	accuracy	accuracy	NOUN
cana-2864	132	23	of	of	ADP
cana-2864	132	24	95.8	95.8	NUM
cana-2864	132	25	%	%	NOUN
cana-2864	132	26	and	and	CCONJ
cana-2864	132	27	a	a	DET
cana-2864	132	28	validation	validation	NOUN
cana-2864	132	29	accuracy	accuracy	NOUN
cana-2864	132	30	of	of	ADP
cana-2864	132	31	94.2	94.2	NUM
cana-2864	132	32	%	%	NOUN
cana-2864	132	33	after	after	ADP
cana-2864	132	34	10	10	NUM
cana-2864	132	35	epochs	epoch	NOUN
cana-2864	132	36	.	.	PUNCT
cana-2864	133	1	the	the	DET
cana-2864	133	2	close	close	ADJ
cana-2864	133	3	alignment	alignment	NOUN
cana-2864	133	4	between	between	ADP
cana-2864	133	5	training	training	NOUN
cana-2864	133	6	and	and	CCONJ
cana-2864	133	7	validation	validation	NOUN
cana-2864	133	8	accuracies	accuracy	NOUN
cana-2864	133	9	suggests	suggest	VERB
cana-2864	133	10	that	that	SCONJ
cana-2864	133	11	our	our	PRON
cana-2864	133	12	model	model	NOUN
cana-2864	133	13	generalizes	generalize	VERB
cana-2864	133	14	well	well	ADV
cana-2864	133	15	to	to	ADP
cana-2864	133	16	unseen	unseen	ADJ
cana-2864	133	17	data	datum	NOUN
cana-2864	133	18	,	,	PUNCT
cana-2864	133	19	with	with	ADP
cana-2864	133	20	minimal	minimal	ADJ
cana-2864	133	21	overfitting	overfitting	NOUN
cana-2864	133	22	.	.	PUNCT
cana-2864	134	1	figure	figure	NOUN
cana-2864	134	2	3	3	NUM
cana-2864	134	3	illustrates	illustrate	VERB
cana-2864	134	4	the	the	DET
cana-2864	134	5	decrease	decrease	NOUN
cana-2864	134	6	in	in	ADP
cana-2864	134	7	both	both	PRON
cana-2864	134	8	training	training	NOUN
cana-2864	134	9	and	and	CCONJ
cana-2864	134	10	validation	validation	NOUN
cana-2864	134	11	loss	loss	NOUN
cana-2864	134	12	over	over	ADP
cana-2864	134	13	the	the	DET
cana-2864	134	14	course	course	NOUN
cana-2864	134	15	of	of	ADP
cana-2864	134	16	training	training	NOUN
cana-2864	134	17	.	.	PUNCT
cana-2864	135	1	the	the	DET
cana-2864	135	2	final	final	ADJ
cana-2864	135	3	training	training	NOUN
cana-2864	135	4	loss	loss	NOUN
cana-2864	135	5	was	be	AUX
cana-2864	135	6	0.132	0.132	NUM
cana-2864	135	7	,	,	PUNCT
cana-2864	135	8	while	while	SCONJ
cana-2864	135	9	the	the	DET
cana-2864	135	10	validation	validation	NOUN
cana-2864	135	11	loss	loss	NOUN
cana-2864	135	12	was	be	AUX
cana-2864	135	13	0.158	0.158	NUM
cana-2864	135	14	.	.	PUNCT
cana-2864	136	1	the	the	DET
cana-2864	136	2	consistent	consistent	ADJ
cana-2864	136	3	decrease	decrease	NOUN
cana-2864	136	4	in	in	ADP
cana-2864	136	5	both	both	DET
cana-2864	136	6	metrics	metric	NOUN
cana-2864	136	7	indicates	indicate	VERB
cana-2864	136	8	effective	effective	ADJ
cana-2864	136	9	learning	learning	NOUN
cana-2864	136	10	and	and	CCONJ
cana-2864	136	11	good	good	ADJ
cana-2864	136	12	generalization	generalization	NOUN
cana-2864	136	13	.	.	PUNCT
cana-2864	137	1	figure	figure	NOUN
cana-2864	137	2	4	4	NUM
cana-2864	137	3	represents	represent	VERB
cana-2864	137	4	learning	learn	VERB
cana-2864	137	5	rate	rate	NOUN
cana-2864	137	6	schedule	schedule	NOUN
cana-2864	137	7	over	over	ADP
cana-2864	137	8	epochs	epoch	NOUN
cana-2864	137	9	,	,	PUNCT
cana-2864	137	10	showing	show	VERB
cana-2864	137	11	the	the	DET
cana-2864	137	12	ramp	ramp	NOUN
cana-2864	137	13	-	-	PUNCT
cana-2864	137	14	up	up	NOUN
cana-2864	137	15	,	,	PUNCT
cana-2864	137	16	sustain	sustain	VERB
cana-2864	137	17	,	,	PUNCT
cana-2864	137	18	and	and	CCONJ
cana-2864	137	19	decay	decay	VERB
cana-2864	137	20	phases	phase	NOUN
cana-2864	137	21	.	.	PUNCT
cana-2864	138	1	figure	figure	VERB
cana-2864	138	2	2	2	NUM
cana-2864	138	3	:	:	PUNCT
cana-2864	138	4	training	training	NOUN
cana-2864	138	5	and	and	CCONJ
cana-2864	138	6	validation	validation	NOUN
cana-2864	138	7	accuracy	accuracy	NOUN
cana-2864	138	8	over	over	ADP
cana-2864	138	9	epochs	epoch	NOUN
cana-2864	138	10	communications	communication	NOUN
cana-2864	138	11	on	on	ADP
cana-2864	138	12	applied	apply	VERB
cana-2864	138	13	nonlinear	nonlinear	ADJ
cana-2864	138	14	analysis	analysis	NOUN
cana-2864	138	15	issn	issn	NOUN
cana-2864	138	16	:	:	PUNCT
cana-2864	138	17	1074	1074	NUM
cana-2864	138	18	-	-	PUNCT
cana-2864	138	19	133x	133x	NUM
cana-2864	138	20	vol	vol	NOUN
cana-2864	138	21	32	32	NUM
cana-2864	138	22	no	no	NOUN
cana-2864	138	23	.	.	PUNCT
cana-2864	139	1	4s	4s	NUM
cana-2864	139	2	(	(	PUNCT
cana-2864	139	3	2025	2025	NUM
cana-2864	139	4	)	)	PUNCT
cana-2864	139	5	465	465	NUM
cana-2864	139	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	139	7	figure	figure	NOUN
cana-2864	139	8	3	3	NUM
cana-2864	139	9	:	:	PUNCT
cana-2864	139	10	training	training	NOUN
cana-2864	139	11	and	and	CCONJ
cana-2864	139	12	validation	validation	NOUN
cana-2864	139	13	loss	loss	NOUN
cana-2864	139	14	over	over	ADP
cana-2864	139	15	epochs	epoch	NOUN
cana-2864	139	16	2	2	AUX
cana-2864	139	17	.	.	PUNCT
cana-2864	139	18	learning	learn	VERB
cana-2864	139	19	rate	rate	NOUN
cana-2864	139	20	schedule	schedule	NOUN
cana-2864	139	21	impact	impact	NOUN
cana-2864	139	22	:	:	PUNCT
cana-2864	139	23	figure	figure	NOUN
cana-2864	139	24	4	4	NUM
cana-2864	139	25	:	:	PUNCT
cana-2864	139	26	learning	learn	VERB
cana-2864	139	27	rate	rate	NOUN
cana-2864	139	28	schedule	schedule	NOUN
cana-2864	139	29	over	over	ADP
cana-2864	139	30	epochs	epoch	NOUN
cana-2864	139	31	,	,	PUNCT
cana-2864	139	32	showing	show	VERB
cana-2864	139	33	the	the	DET
cana-2864	139	34	ramp	ramp	NOUN
cana-2864	139	35	-	-	PUNCT
cana-2864	139	36	up	up	NOUN
cana-2864	139	37	,	,	PUNCT
cana-2864	139	38	sustain	sustain	VERB
cana-2864	139	39	,	,	PUNCT
cana-2864	139	40	and	and	CCONJ
cana-2864	139	41	decay	decay	VERB
cana-2864	139	42	phases	phase	NOUN
cana-2864	139	43	.	.	PUNCT
cana-2864	140	1	our	our	PRON
cana-2864	140	2	custom	custom	NOUN
cana-2864	140	3	learning	learn	VERB
cana-2864	140	4	rate	rate	NOUN
cana-2864	140	5	schedule	schedule	NOUN
cana-2864	140	6	,	,	PUNCT
cana-2864	140	7	as	as	SCONJ
cana-2864	140	8	depicted	depict	VERB
cana-2864	140	9	in	in	ADP
cana-2864	140	10	figure	figure	NOUN
cana-2864	140	11	3	3	NUM
cana-2864	140	12	,	,	PUNCT
cana-2864	140	13	played	play	VERB
cana-2864	140	14	a	a	DET
cana-2864	140	15	crucial	crucial	ADJ
cana-2864	140	16	role	role	NOUN
cana-2864	140	17	in	in	ADP
cana-2864	140	18	optimizing	optimize	VERB
cana-2864	140	19	the	the	DET
cana-2864	140	20	training	training	NOUN
cana-2864	140	21	process	process	NOUN
cana-2864	140	22	.	.	PUNCT
cana-2864	141	1	the	the	DET
cana-2864	141	2	initial	initial	ADJ
cana-2864	141	3	ramp	ramp	NOUN
cana-2864	141	4	-	-	PUNCT
cana-2864	141	5	up	up	ADP
cana-2864	141	6	phase	phase	NOUN
cana-2864	141	7	allowed	allow	VERB
cana-2864	141	8	the	the	DET
cana-2864	141	9	model	model	NOUN
cana-2864	141	10	to	to	PART
cana-2864	141	11	quickly	quickly	ADV
cana-2864	141	12	adapt	adapt	VERB
cana-2864	141	13	to	to	ADP
cana-2864	141	14	the	the	DET
cana-2864	141	15	data	datum	NOUN
cana-2864	141	16	,	,	PUNCT
cana-2864	141	17	while	while	SCONJ
cana-2864	141	18	the	the	DET
cana-2864	141	19	sustain	sustain	NOUN
cana-2864	141	20	and	and	CCONJ
cana-2864	141	21	decay	decay	NOUN
cana-2864	141	22	phases	phase	NOUN
cana-2864	141	23	helped	help	VERB
cana-2864	141	24	fine	fine	ADJ
cana-2864	141	25	-	-	PUNCT
cana-2864	141	26	tune	tune	NOUN
cana-2864	141	27	the	the	DET
cana-2864	141	28	model	model	NOUN
cana-2864	141	29	's	's	PART
cana-2864	141	30	parameters	parameter	NOUN
cana-2864	141	31	,	,	PUNCT
cana-2864	141	32	contributing	contribute	VERB
cana-2864	141	33	to	to	ADP
cana-2864	141	34	the	the	DET
cana-2864	141	35	stable	stable	ADJ
cana-2864	141	36	convergence	convergence	NOUN
cana-2864	141	37	observed	observe	VERB
cana-2864	141	38	in	in	ADP
cana-2864	141	39	the	the	DET
cana-2864	141	40	accuracy	accuracy	NOUN
cana-2864	141	41	and	and	CCONJ
cana-2864	141	42	loss	loss	NOUN
cana-2864	141	43	plots	plot	NOUN
cana-2864	141	44	.	.	PUNCT
cana-2864	142	1	3	3	X
cana-2864	142	2	.	.	PUNCT
cana-2864	142	3	model	model	NOUN
cana-2864	142	4	architecture	architecture	NOUN
cana-2864	142	5	visualization	visualization	NOUN
cana-2864	142	6	:	:	PUNCT
cana-2864	142	7	figure	figure	NOUN
cana-2864	142	8	5	5	NUM
cana-2864	142	9	is	be	AUX
cana-2864	142	10	the	the	DET
cana-2864	142	11	architecture	architecture	NOUN
cana-2864	142	12	of	of	ADP
cana-2864	142	13	the	the	DET
cana-2864	142	14	xception	xception	PROPN
cana-2864	142	15	model	model	NOUN
cana-2864	142	16	and	and	CCONJ
cana-2864	142	17	figure	figure	NOUN
cana-2864	142	18	6	6	NUM
cana-2864	142	19	is	be	AUX
cana-2864	142	20	the	the	DET
cana-2864	142	21	architecture	architecture	NOUN
cana-2864	142	22	of	of	ADP
cana-2864	142	23	the	the	DET
cana-2864	142	24	densenet121	densenet121	PROPN
cana-2864	142	25	model	model	NOUN
cana-2864	142	26	.	.	PUNCT
cana-2864	143	1	figure	figure	NOUN
cana-2864	143	2	7	7	NUM
cana-2864	143	3	is	be	AUX
cana-2864	143	4	the	the	DET
cana-2864	143	5	architecture	architecture	NOUN
cana-2864	143	6	of	of	ADP
cana-2864	143	7	the	the	DET
cana-2864	143	8	ensemble	ensemble	ADJ
cana-2864	143	9	model	model	NOUN
cana-2864	143	10	combining	combine	VERB
cana-2864	143	11	xception	xception	PROPN
cana-2864	143	12	and	and	CCONJ
cana-2864	143	13	densenet121	densenet121	PROPN
cana-2864	143	14	.	.	PUNCT
cana-2864	144	1	figure	figure	NOUN
cana-2864	144	2	5	5	NUM
cana-2864	144	3	:	:	PUNCT
cana-2864	144	4	architecture	architecture	NOUN
cana-2864	144	5	of	of	ADP
cana-2864	144	6	the	the	DET
cana-2864	144	7	xception	xception	PROPN
cana-2864	144	8	model	model	NOUN
cana-2864	144	9	figure	figure	NOUN
cana-2864	144	10	6	6	NUM
cana-2864	144	11	:	:	PUNCT
cana-2864	144	12	architecture	architecture	NOUN
cana-2864	144	13	of	of	ADP
cana-2864	144	14	the	the	DET
cana-2864	144	15	densenet121	densenet121	PROPN
cana-2864	144	16	model	model	NOUN
cana-2864	144	17	communications	communication	NOUN
cana-2864	144	18	on	on	ADP
cana-2864	144	19	applied	apply	VERB
cana-2864	144	20	nonlinear	nonlinear	ADJ
cana-2864	144	21	analysis	analysis	NOUN
cana-2864	144	22	issn	issn	NOUN
cana-2864	144	23	:	:	PUNCT
cana-2864	144	24	1074	1074	NUM
cana-2864	144	25	-	-	PUNCT
cana-2864	144	26	133x	133x	NUM
cana-2864	144	27	vol	vol	NOUN
cana-2864	144	28	32	32	NUM
cana-2864	144	29	no	no	NOUN
cana-2864	144	30	.	.	PUNCT
cana-2864	145	1	4s	4s	NUM
cana-2864	145	2	(	(	PUNCT
cana-2864	145	3	2025	2025	NUM
cana-2864	145	4	)	)	PUNCT
cana-2864	145	5	466	466	NUM
cana-2864	145	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	145	7	figure	figure	NOUN
cana-2864	145	8	7	7	NUM
cana-2864	145	9	:	:	PUNCT
cana-2864	145	10	architecture	architecture	NOUN
cana-2864	145	11	of	of	ADP
cana-2864	145	12	the	the	DET
cana-2864	145	13	ensemble	ensemble	ADJ
cana-2864	145	14	model	model	NOUN
cana-2864	145	15	combining	combine	VERB
cana-2864	145	16	xception	xception	PROPN
cana-2864	145	17	and	and	CCONJ
cana-2864	145	18	densenet121	densenet121	PROPN
cana-2864	145	19	3	3	NUM
cana-2864	145	20	.	.	PUNCT
cana-2864	145	21	model	model	NOUN
cana-2864	145	22	performance	performance	NOUN
cana-2864	145	23	on	on	ADP
cana-2864	145	24	test	test	NOUN
cana-2864	145	25	set	set	VERB
cana-2864	145	26	we	we	PRON
cana-2864	145	27	evaluated	evaluate	VERB
cana-2864	145	28	our	our	PRON
cana-2864	145	29	model	model	NOUN
cana-2864	145	30	on	on	ADP
cana-2864	145	31	a	a	DET
cana-2864	145	32	separate	separate	ADJ
cana-2864	145	33	test	test	NOUN
cana-2864	145	34	set	set	VERB
cana-2864	145	35	to	to	PART
cana-2864	145	36	assess	assess	VERB
cana-2864	145	37	its	its	PRON
cana-2864	145	38	real	real	ADJ
cana-2864	145	39	-	-	PUNCT
cana-2864	145	40	world	world	NOUN
cana-2864	145	41	performance	performance	NOUN
cana-2864	145	42	.	.	PUNCT
cana-2864	146	1	the	the	DET
cana-2864	146	2	results	result	NOUN
cana-2864	146	3	are	be	AUX
cana-2864	146	4	as	as	SCONJ
cana-2864	146	5	follows	follow	VERB
cana-2864	146	6	:	:	PUNCT
cana-2864	146	7	•	•	NOUN
cana-2864	146	8	overall	overall	ADJ
cana-2864	146	9	accuracy	accuracy	NOUN
cana-2864	146	10	:	:	PUNCT
cana-2864	146	11	93.7	93.7	NUM
cana-2864	146	12	%	%	NOUN
cana-2864	146	13	•	•	ADP
cana-2864	146	14	macro	macro	ADJ
cana-2864	146	15	f1	f1	NOUN
cana-2864	146	16	-	-	PUNCT
cana-2864	146	17	score	score	NOUN
cana-2864	146	18	:	:	PUNCT
cana-2864	146	19	0.934	0.934	NUM
cana-2864	146	20	table	table	NOUN
cana-2864	146	21	1	1	NUM
cana-2864	146	22	represents	represent	VERB
cana-2864	146	23	the	the	DET
cana-2864	146	24	achieved	achieve	VERB
cana-2864	146	25	class	class	NOUN
cana-2864	146	26	-	-	PUNCT
cana-2864	146	27	wise	wise	ADJ
cana-2864	146	28	precision	precision	NOUN
cana-2864	146	29	,	,	PUNCT
cana-2864	146	30	recall	recall	NOUN
cana-2864	146	31	,	,	PUNCT
cana-2864	146	32	and	and	CCONJ
cana-2864	146	33	f1	f1	ADJ
cana-2864	146	34	-	-	PUNCT
cana-2864	146	35	score	score	NOUN
cana-2864	146	36	performance	performance	NOUN
cana-2864	146	37	.	.	PUNCT
cana-2864	147	1	table	table	NOUN
cana-2864	147	2	1	1	NUM
cana-2864	147	3	:	:	PUNCT
cana-2864	147	4	class	class	NOUN
cana-2864	147	5	-	-	PUNCT
cana-2864	147	6	wise	wise	ADJ
cana-2864	147	7	precision	precision	NOUN
cana-2864	147	8	,	,	PUNCT
cana-2864	147	9	recall	recall	NOUN
cana-2864	147	10	,	,	PUNCT
cana-2864	147	11	and	and	CCONJ
cana-2864	147	12	f1	f1	ADJ
cana-2864	147	13	-	-	PUNCT
cana-2864	147	14	score	score	NOUN
cana-2864	147	15	performance	performance	NOUN
cana-2864	147	16	class	class	NOUN
cana-2864	147	17	precision	precision	NOUN
cana-2864	147	18	recall	recall	NOUN
cana-2864	147	19	f1	f1	NOUN
cana-2864	147	20	-	-	PUNCT
cana-2864	147	21	score	score	NOUN
cana-2864	147	22	healthy	healthy	ADJ
cana-2864	147	23	0.95	0.95	NUM
cana-2864	147	24	0.96	0.96	NUM
cana-2864	147	25	0.955	0.955	NUM
cana-2864	147	26	multiple	multiple	ADJ
cana-2864	147	27	diseases	disease	NOUN
cana-2864	147	28	0.92	0.92	NUM
cana-2864	147	29	0.90	0.90	NUM
cana-2864	147	30	0.91	0.91	NUM
cana-2864	147	31	rust	rust	NOUN
cana-2864	147	32	0.94	0.94	NUM
cana-2864	147	33	0.93	0.93	NUM
cana-2864	147	34	0.935	0.935	NUM
cana-2864	147	35	scab	scab	NOUN
cana-2864	147	36	0.93	0.93	NUM
cana-2864	147	37	0.94	0.94	NUM
cana-2864	147	38	0.935	0.935	NUM
cana-2864	147	39	figure	figure	NOUN
cana-2864	147	40	8	8	NUM
cana-2864	147	41	:	:	PUNCT
cana-2864	147	42	class	class	NOUN
cana-2864	147	43	-	-	PUNCT
cana-2864	147	44	wise	wise	ADJ
cana-2864	147	45	performance	performance	NOUN
cana-2864	147	46	metrics	metric	NOUN
cana-2864	147	47	,	,	PUNCT
cana-2864	147	48	precision	precision	NOUN
cana-2864	147	49	,	,	PUNCT
cana-2864	147	50	f1	f1	NOUN
cana-2864	147	51	-	-	PUNCT
cana-2864	147	52	score	score	NOUN
cana-2864	147	53	and	and	CCONJ
cana-2864	147	54	recall	recall	NOUN
cana-2864	147	55	figure	figure	NOUN
cana-2864	147	56	8	8	NUM
cana-2864	147	57	is	be	AUX
cana-2864	147	58	plot	plot	NOUN
cana-2864	147	59	of	of	ADP
cana-2864	147	60	class	class	NOUN
cana-2864	147	61	-	-	PUNCT
cana-2864	147	62	wise	wise	ADJ
cana-2864	147	63	performance	performance	NOUN
cana-2864	147	64	metrics	metric	NOUN
cana-2864	147	65	,	,	PUNCT
cana-2864	147	66	precision	precision	NOUN
cana-2864	147	67	,	,	PUNCT
cana-2864	147	68	f1	f1	NOUN
cana-2864	147	69	-	-	PUNCT
cana-2864	147	70	score	score	NOUN
cana-2864	147	71	and	and	CCONJ
cana-2864	147	72	recall	recall	NOUN
cana-2864	147	73	,	,	PUNCT
cana-2864	147	74	shows	show	VERB
cana-2864	147	75	that	that	SCONJ
cana-2864	147	76	though	though	SCONJ
cana-2864	147	77	'	'	PUNCT
cana-2864	147	78	healthy	healthy	ADJ
cana-2864	147	79	'	'	PUNCT
cana-2864	147	80	holds	hold	VERB
cana-2864	147	81	the	the	DET
cana-2864	147	82	highest	high	ADJ
cana-2864	147	83	values	value	NOUN
cana-2864	147	84	for	for	ADP
cana-2864	147	85	all	all	DET
cana-2864	147	86	the	the	DET
cana-2864	147	87	metrics	metric	NOUN
cana-2864	147	88	,	,	PUNCT
cana-2864	147	89	'	'	PUNCT
cana-2864	147	90	multiple	multiple	ADJ
cana-2864	147	91	diseases	disease	NOUN
cana-2864	147	92	'	'	PART
cana-2864	147	93	is	be	AUX
cana-2864	147	94	the	the	DET
cana-2864	147	95	one	one	NUM
cana-2864	147	96	with	with	ADP
cana-2864	147	97	the	the	DET
cana-2864	147	98	lowest	low	ADJ
cana-2864	147	99	performance	performance	NOUN
cana-2864	147	100	across	across	ADP
cana-2864	147	101	all	all	DET
cana-2864	147	102	the	the	DET
cana-2864	147	103	metrics	metric	NOUN
cana-2864	147	104	.	.	PUNCT
cana-2864	148	1	these	these	DET
cana-2864	148	2	results	result	NOUN
cana-2864	148	3	demonstrate	demonstrate	VERB
cana-2864	148	4	the	the	DET
cana-2864	148	5	model	model	NOUN
cana-2864	148	6	's	's	PART
cana-2864	148	7	strong	strong	ADJ
cana-2864	148	8	performance	performance	NOUN
cana-2864	148	9	across	across	ADP
cana-2864	148	10	all	all	DET
cana-2864	148	11	classes	class	NOUN
cana-2864	148	12	,	,	PUNCT
cana-2864	148	13	with	with	ADP
cana-2864	148	14	particularly	particularly	ADV
cana-2864	148	15	high	high	ADJ
cana-2864	148	16	accuracy	accuracy	NOUN
cana-2864	148	17	in	in	ADP
cana-2864	148	18	identifying	identify	VERB
cana-2864	148	19	healthy	healthy	ADJ
cana-2864	148	20	leaves	leave	NOUN
cana-2864	148	21	.	.	PUNCT
cana-2864	149	1	communications	communication	NOUN
cana-2864	149	2	on	on	ADP
cana-2864	149	3	applied	apply	VERB
cana-2864	149	4	nonlinear	nonlinear	ADJ
cana-2864	149	5	analysis	analysis	NOUN
cana-2864	149	6	issn	issn	NOUN
cana-2864	149	7	:	:	PUNCT
cana-2864	149	8	1074	1074	NUM
cana-2864	149	9	-	-	PUNCT
cana-2864	149	10	133x	133x	NUM
cana-2864	149	11	vol	vol	NOUN
cana-2864	149	12	32	32	NUM
cana-2864	149	13	no	no	NOUN
cana-2864	149	14	.	.	PUNCT
cana-2864	150	1	4s	4s	NUM
cana-2864	150	2	(	(	PUNCT
cana-2864	150	3	2025	2025	NUM
cana-2864	150	4	)	)	PUNCT
cana-2864	150	5	467	467	NUM
cana-2864	150	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	150	7	in	in	ADP
cana-2864	150	8	summary	summary	NOUN
cana-2864	150	9	,	,	PUNCT
cana-2864	150	10	our	our	PRON
cana-2864	150	11	ensemble	ensemble	ADJ
cana-2864	150	12	model	model	NOUN
cana-2864	150	13	achieves	achieve	VERB
cana-2864	150	14	high	high	ADJ
cana-2864	150	15	accuracy	accuracy	NOUN
cana-2864	150	16	in	in	ADP
cana-2864	150	17	plant	plant	NOUN
cana-2864	150	18	leaf	leaf	NOUN
cana-2864	150	19	disease	disease	NOUN
cana-2864	150	20	detection	detection	NOUN
cana-2864	150	21	across	across	ADP
cana-2864	150	22	all	all	DET
cana-2864	150	23	target	target	NOUN
cana-2864	150	24	classes	class	NOUN
cana-2864	150	25	.	.	PUNCT
cana-2864	151	1	the	the	DET
cana-2864	151	2	consistent	consistent	ADJ
cana-2864	151	3	performance	performance	NOUN
cana-2864	151	4	between	between	ADP
cana-2864	151	5	training	training	NOUN
cana-2864	151	6	and	and	CCONJ
cana-2864	151	7	validation	validation	NOUN
cana-2864	151	8	sets	set	NOUN
cana-2864	151	9	,	,	PUNCT
cana-2864	151	10	along	along	ADP
cana-2864	151	11	with	with	ADP
cana-2864	151	12	strong	strong	ADJ
cana-2864	151	13	results	result	NOUN
cana-2864	151	14	on	on	ADP
cana-2864	151	15	the	the	DET
cana-2864	151	16	test	test	NOUN
cana-2864	151	17	set	set	NOUN
cana-2864	151	18	,	,	PUNCT
cana-2864	151	19	indicates	indicate	VERB
cana-2864	151	20	that	that	SCONJ
cana-2864	151	21	our	our	PRON
cana-2864	151	22	model	model	NOUN
cana-2864	151	23	is	be	AUX
cana-2864	151	24	both	both	CCONJ
cana-2864	151	25	accurate	accurate	ADJ
cana-2864	151	26	and	and	CCONJ
cana-2864	151	27	generalizable	generalizable	ADJ
cana-2864	151	28	.	.	PUNCT
cana-2864	152	1	the	the	DET
cana-2864	152	2	custom	custom	NOUN
cana-2864	152	3	learning	learn	VERB
cana-2864	152	4	rate	rate	NOUN
cana-2864	152	5	schedule	schedule	NOUN
cana-2864	152	6	and	and	CCONJ
cana-2864	152	7	data	datum	NOUN
cana-2864	152	8	augmentation	augmentation	NOUN
cana-2864	152	9	techniques	technique	NOUN
cana-2864	152	10	have	have	AUX
cana-2864	152	11	contributed	contribute	VERB
cana-2864	152	12	to	to	ADP
cana-2864	152	13	the	the	DET
cana-2864	152	14	model	model	NOUN
cana-2864	152	15	's	's	PART
cana-2864	152	16	robust	robust	ADJ
cana-2864	152	17	performance	performance	NOUN
cana-2864	152	18	,	,	PUNCT
cana-2864	152	19	making	make	VERB
cana-2864	152	20	it	it	PRON
cana-2864	152	21	a	a	DET
cana-2864	152	22	promising	promising	ADJ
cana-2864	152	23	tool	tool	NOUN
cana-2864	152	24	for	for	ADP
cana-2864	152	25	automated	automate	VERB
cana-2864	152	26	plant	plant	NOUN
cana-2864	152	27	disease	disease	NOUN
cana-2864	152	28	diagnosis	diagnosis	NOUN
cana-2864	152	29	in	in	ADP
cana-2864	152	30	agricultural	agricultural	ADJ
cana-2864	152	31	settings	setting	NOUN
cana-2864	152	32	.	.	PUNCT
cana-2864	153	1	6	6	X
cana-2864	153	2	.	.	X
cana-2864	153	3	discussion	discussion	NOUN
cana-2864	153	4	our	our	PRON
cana-2864	153	5	ensemble	ensemble	ADV
cana-2864	153	6	-	-	PUNCT
cana-2864	153	7	based	base	VERB
cana-2864	153	8	approach	approach	NOUN
cana-2864	153	9	to	to	PART
cana-2864	153	10	plant	plant	VERB
cana-2864	153	11	leaf	leaf	NOUN
cana-2864	153	12	disease	disease	NOUN
cana-2864	153	13	detection	detection	NOUN
cana-2864	153	14	demonstrates	demonstrate	VERB
cana-2864	153	15	promising	promise	VERB
cana-2864	153	16	results	result	NOUN
cana-2864	153	17	in	in	ADP
cana-2864	153	18	accurately	accurately	ADV
cana-2864	153	19	classifying	classify	VERB
cana-2864	153	20	healthy	healthy	ADJ
cana-2864	153	21	leaves	leave	NOUN
cana-2864	153	22	and	and	CCONJ
cana-2864	153	23	those	those	PRON
cana-2864	153	24	affected	affect	VERB
cana-2864	153	25	by	by	ADP
cana-2864	153	26	multiple	multiple	ADJ
cana-2864	153	27	diseases	disease	NOUN
cana-2864	153	28	,	,	PUNCT
cana-2864	153	29	rust	rust	NOUN
cana-2864	153	30	,	,	PUNCT
cana-2864	153	31	and	and	CCONJ
cana-2864	153	32	scab	scab	NOUN
cana-2864	153	33	.	.	PUNCT
cana-2864	154	1	the	the	DET
cana-2864	154	2	high	high	ADJ
cana-2864	154	3	accuracy	accuracy	NOUN
cana-2864	154	4	achieved	achieve	VERB
cana-2864	154	5	(	(	PUNCT
cana-2864	154	6	93.7	93.7	NUM
cana-2864	154	7	%	%	NOUN
cana-2864	154	8	on	on	ADP
cana-2864	154	9	the	the	DET
cana-2864	154	10	test	test	NOUN
cana-2864	154	11	set	set	NOUN
cana-2864	154	12	)	)	PUNCT
cana-2864	154	13	suggests	suggest	VERB
cana-2864	154	14	that	that	SCONJ
cana-2864	154	15	our	our	PRON
cana-2864	154	16	model	model	NOUN
cana-2864	154	17	could	could	AUX
cana-2864	154	18	be	be	AUX
cana-2864	154	19	a	a	DET
cana-2864	154	20	valuable	valuable	ADJ
cana-2864	154	21	tool	tool	NOUN
cana-2864	154	22	for	for	ADP
cana-2864	154	23	early	early	ADJ
cana-2864	154	24	disease	disease	NOUN
cana-2864	154	25	detection	detection	NOUN
cana-2864	154	26	in	in	ADP
cana-2864	154	27	agricultural	agricultural	ADJ
cana-2864	154	28	settings	setting	NOUN
cana-2864	154	29	.	.	PUNCT
cana-2864	155	1	key	key	ADJ
cana-2864	155	2	findings	finding	NOUN
cana-2864	155	3	:	:	PUNCT
cana-2864	155	4	1	1	X
cana-2864	155	5	.	.	X
cana-2864	155	6	ensemble	ensemble	ADJ
cana-2864	155	7	advantage	advantage	NOUN
cana-2864	155	8	:	:	PUNCT
cana-2864	155	9	the	the	DET
cana-2864	155	10	combination	combination	NOUN
cana-2864	155	11	of	of	ADP
cana-2864	155	12	xception	xception	NOUN
cana-2864	155	13	and	and	CCONJ
cana-2864	155	14	densenet121	densenet121	PROPN
cana-2864	155	15	architectures	architecture	NOUN
cana-2864	155	16	leveraged	leverage	VERB
cana-2864	155	17	the	the	DET
cana-2864	155	18	strengths	strength	NOUN
cana-2864	155	19	of	of	ADP
cana-2864	155	20	both	both	DET
cana-2864	155	21	models	model	NOUN
cana-2864	155	22	,	,	PUNCT
cana-2864	155	23	contributing	contribute	VERB
cana-2864	155	24	to	to	PART
cana-2864	155	25	improved	improve	VERB
cana-2864	155	26	overall	overall	ADJ
cana-2864	155	27	performance	performance	NOUN
cana-2864	155	28	.	.	PUNCT
cana-2864	156	1	2	2	X
cana-2864	156	2	.	.	X
cana-2864	156	3	effective	effective	ADJ
cana-2864	156	4	data	datum	NOUN
cana-2864	156	5	augmentation	augmentation	NOUN
cana-2864	156	6	:	:	PUNCT
cana-2864	156	7	our	our	PRON
cana-2864	156	8	comprehensive	comprehensive	ADJ
cana-2864	156	9	augmentation	augmentation	NOUN
cana-2864	156	10	strategy	strategy	NOUN
cana-2864	156	11	helped	help	VERB
cana-2864	156	12	the	the	DET
cana-2864	156	13	model	model	NOUN
cana-2864	156	14	generalize	generalize	VERB
cana-2864	156	15	well	well	ADV
cana-2864	156	16	,	,	PUNCT
cana-2864	156	17	as	as	SCONJ
cana-2864	156	18	evidenced	evidence	VERB
cana-2864	156	19	by	by	ADP
cana-2864	156	20	the	the	DET
cana-2864	156	21	close	close	ADJ
cana-2864	156	22	alignment	alignment	NOUN
cana-2864	156	23	of	of	ADP
cana-2864	156	24	training	training	NOUN
cana-2864	156	25	and	and	CCONJ
cana-2864	156	26	validation	validation	NOUN
cana-2864	156	27	accuracies	accuracy	NOUN
cana-2864	156	28	.	.	PUNCT
cana-2864	157	1	3	3	X
cana-2864	157	2	.	.	X
cana-2864	157	3	learning	learn	VERB
cana-2864	157	4	rate	rate	NOUN
cana-2864	157	5	scheduling	scheduling	NOUN
cana-2864	157	6	:	:	PUNCT
cana-2864	157	7	the	the	DET
cana-2864	157	8	custom	custom	NOUN
cana-2864	157	9	learning	learn	VERB
cana-2864	157	10	rate	rate	NOUN
cana-2864	157	11	schedule	schedule	NOUN
cana-2864	157	12	proved	prove	VERB
cana-2864	157	13	effective	effective	ADJ
cana-2864	157	14	in	in	ADP
cana-2864	157	15	optimizing	optimize	VERB
cana-2864	157	16	the	the	DET
cana-2864	157	17	training	training	NOUN
cana-2864	157	18	process	process	NOUN
cana-2864	157	19	,	,	PUNCT
cana-2864	157	20	leading	lead	VERB
cana-2864	157	21	to	to	ADP
cana-2864	157	22	stable	stable	ADJ
cana-2864	157	23	convergence	convergence	NOUN
cana-2864	157	24	.	.	PUNCT
cana-2864	158	1	4	4	X
cana-2864	158	2	.	.	X
cana-2864	158	3	class	class	NOUN
cana-2864	158	4	balance	balance	NOUN
cana-2864	158	5	:	:	PUNCT
cana-2864	158	6	the	the	DET
cana-2864	158	7	model	model	NOUN
cana-2864	158	8	performed	perform	VERB
cana-2864	158	9	consistently	consistently	ADV
cana-2864	158	10	across	across	ADP
cana-2864	158	11	all	all	DET
cana-2864	158	12	classes	class	NOUN
cana-2864	158	13	,	,	PUNCT
cana-2864	158	14	indicating	indicate	VERB
cana-2864	158	15	its	its	PRON
cana-2864	158	16	robustness	robustness	NOUN
cana-2864	158	17	in	in	ADP
cana-2864	158	18	handling	handle	VERB
cana-2864	158	19	various	various	ADJ
cana-2864	158	20	disease	disease	NOUN
cana-2864	158	21	types	type	NOUN
cana-2864	158	22	.	.	PUNCT
cana-2864	159	1	limitations	limitation	NOUN
cana-2864	159	2	and	and	CCONJ
cana-2864	159	3	future	future	ADJ
cana-2864	159	4	work	work	NOUN
cana-2864	159	5	:	:	PUNCT
cana-2864	159	6	1	1	X
cana-2864	159	7	.	.	X
cana-2864	159	8	real	real	ADJ
cana-2864	159	9	-	-	PUNCT
cana-2864	159	10	world	world	NOUN
cana-2864	159	11	testing	testing	NOUN
cana-2864	159	12	:	:	PUNCT
cana-2864	159	13	while	while	SCONJ
cana-2864	159	14	our	our	PRON
cana-2864	159	15	model	model	NOUN
cana-2864	159	16	performed	perform	VERB
cana-2864	159	17	well	well	ADV
cana-2864	159	18	on	on	ADP
cana-2864	159	19	the	the	DET
cana-2864	159	20	given	give	VERB
cana-2864	159	21	dataset	dataset	NOUN
cana-2864	159	22	,	,	PUNCT
cana-2864	159	23	further	further	ADJ
cana-2864	159	24	testing	testing	NOUN
cana-2864	159	25	in	in	ADP
cana-2864	159	26	varied	varied	ADJ
cana-2864	159	27	real	real	ADJ
cana-2864	159	28	-	-	PUNCT
cana-2864	159	29	world	world	NOUN
cana-2864	159	30	conditions	condition	NOUN
cana-2864	159	31	is	be	AUX
cana-2864	159	32	necessary	necessary	ADJ
cana-2864	159	33	to	to	PART
cana-2864	159	34	validate	validate	VERB
cana-2864	159	35	its	its	PRON
cana-2864	159	36	practical	practical	ADJ
cana-2864	159	37	applicability	applicability	NOUN
cana-2864	159	38	.	.	PUNCT
cana-2864	160	1	2	2	X
cana-2864	160	2	.	.	X
cana-2864	160	3	computational	computational	ADJ
cana-2864	160	4	requirements	requirement	NOUN
cana-2864	160	5	:	:	PUNCT
cana-2864	160	6	the	the	DET
cana-2864	160	7	ensemble	ensemble	ADJ
cana-2864	160	8	approach	approach	NOUN
cana-2864	160	9	,	,	PUNCT
cana-2864	160	10	while	while	SCONJ
cana-2864	160	11	effective	effective	ADJ
cana-2864	160	12	,	,	PUNCT
cana-2864	160	13	increases	increase	VERB
cana-2864	160	14	computational	computational	ADJ
cana-2864	160	15	complexity	complexity	NOUN
cana-2864	160	16	.	.	PUNCT
cana-2864	161	1	future	future	ADJ
cana-2864	161	2	work	work	NOUN
cana-2864	161	3	could	could	AUX
cana-2864	161	4	explore	explore	VERB
cana-2864	161	5	model	model	NOUN
cana-2864	161	6	compression	compression	NOUN
cana-2864	161	7	techniques	technique	NOUN
cana-2864	161	8	for	for	ADP
cana-2864	161	9	deployment	deployment	NOUN
cana-2864	161	10	on	on	ADP
cana-2864	161	11	resourceconstrained	resourceconstraine	VERB
cana-2864	161	12	devices	device	NOUN
cana-2864	161	13	.	.	PUNCT
cana-2864	162	1	3	3	X
cana-2864	162	2	.	.	X
cana-2864	162	3	explainability	explainability	NOUN
cana-2864	162	4	:	:	PUNCT
cana-2864	162	5	incorporating	incorporate	VERB
cana-2864	162	6	explainable	explainable	ADJ
cana-2864	162	7	ai	ai	VERB
cana-2864	162	8	techniques	technique	NOUN
cana-2864	162	9	could	could	AUX
cana-2864	162	10	provide	provide	VERB
cana-2864	162	11	insights	insight	NOUN
cana-2864	162	12	into	into	ADP
cana-2864	162	13	which	which	DET
cana-2864	162	14	leaf	leaf	NOUN
cana-2864	162	15	features	feature	NOUN
cana-2864	162	16	are	be	AUX
cana-2864	162	17	most	most	ADV
cana-2864	162	18	indicative	indicative	ADJ
cana-2864	162	19	of	of	ADP
cana-2864	162	20	specific	specific	ADJ
cana-2864	162	21	diseases	disease	NOUN
cana-2864	162	22	,	,	PUNCT
cana-2864	162	23	enhancing	enhance	VERB
cana-2864	162	24	the	the	DET
cana-2864	162	25	model	model	NOUN
cana-2864	162	26	's	's	PART
cana-2864	162	27	utility	utility	NOUN
cana-2864	162	28	for	for	ADP
cana-2864	162	29	agricultural	agricultural	ADJ
cana-2864	162	30	experts	expert	NOUN
cana-2864	162	31	.	.	PUNCT
cana-2864	163	1	continuous	continuous	ADJ
cana-2864	163	2	learning	learning	NOUN
cana-2864	163	3	:	:	PUNCT
cana-2864	163	4	developing	develop	VERB
cana-2864	163	5	methods	method	NOUN
cana-2864	163	6	for	for	ADP
cana-2864	163	7	the	the	DET
cana-2864	163	8	model	model	NOUN
cana-2864	163	9	to	to	PART
cana-2864	163	10	adapt	adapt	VERB
cana-2864	163	11	to	to	ADP
cana-2864	163	12	new	new	ADJ
cana-2864	163	13	disease	disease	NOUN
cana-2864	163	14	types	type	NOUN
cana-2864	163	15	or	or	CCONJ
cana-2864	163	16	variations	variation	NOUN
cana-2864	163	17	without	without	ADP
cana-2864	163	18	complete	complete	ADJ
cana-2864	163	19	retraining	retraining	NOUN
cana-2864	163	20	could	could	AUX
cana-2864	163	21	enhance	enhance	VERB
cana-2864	163	22	its	its	PRON
cana-2864	163	23	long	long	ADJ
cana-2864	163	24	-	-	PUNCT
cana-2864	163	25	term	term	NOUN
cana-2864	163	26	effectiveness	effectiveness	NOUN
cana-2864	163	27	7	7	NUM
cana-2864	163	28	.	.	PUNCT
cana-2864	163	29	conclusion	conclusion	NOUN
cana-2864	163	30	this	this	DET
cana-2864	163	31	study	study	NOUN
cana-2864	163	32	presents	present	VERB
cana-2864	163	33	an	an	DET
cana-2864	163	34	effective	effective	ADJ
cana-2864	163	35	approach	approach	NOUN
cana-2864	163	36	to	to	ADP
cana-2864	163	37	automated	automate	VERB
cana-2864	163	38	plant	plant	NOUN
cana-2864	163	39	leaf	leaf	NOUN
cana-2864	163	40	disease	disease	NOUN
cana-2864	163	41	detection	detection	NOUN
cana-2864	163	42	using	use	VERB
cana-2864	163	43	an	an	DET
cana-2864	163	44	ensemble	ensemble	NOUN
cana-2864	163	45	of	of	ADP
cana-2864	163	46	deep	deep	ADJ
cana-2864	163	47	learning	learning	NOUN
cana-2864	163	48	models	model	NOUN
cana-2864	163	49	.	.	PUNCT
cana-2864	164	1	our	our	PRON
cana-2864	164	2	system	system	NOUN
cana-2864	164	3	,	,	PUNCT
cana-2864	164	4	combining	combine	VERB
cana-2864	164	5	xception	xception	NOUN
cana-2864	164	6	and	and	CCONJ
cana-2864	164	7	densenet121	densenet121	PROPN
cana-2864	164	8	architectures	architecture	NOUN
cana-2864	164	9	,	,	PUNCT
cana-2864	164	10	achieved	achieve	VERB
cana-2864	164	11	high	high	ADJ
cana-2864	164	12	accuracy	accuracy	NOUN
cana-2864	164	13	in	in	ADP
cana-2864	164	14	classifying	classify	VERB
cana-2864	164	15	healthy	healthy	ADJ
cana-2864	164	16	leaves	leave	NOUN
cana-2864	164	17	and	and	CCONJ
cana-2864	164	18	those	those	PRON
cana-2864	164	19	affected	affect	VERB
cana-2864	164	20	by	by	ADP
cana-2864	164	21	multiple	multiple	ADJ
cana-2864	164	22	diseases	disease	NOUN
cana-2864	164	23	,	,	PUNCT
cana-2864	164	24	rust	rust	NOUN
cana-2864	164	25	,	,	PUNCT
cana-2864	164	26	and	and	CCONJ
cana-2864	164	27	scab	scab	NOUN
cana-2864	164	28	.	.	PUNCT
cana-2864	165	1	the	the	DET
cana-2864	165	2	use	use	NOUN
cana-2864	165	3	of	of	ADP
cana-2864	165	4	advanced	advanced	ADJ
cana-2864	165	5	data	datum	NOUN
cana-2864	165	6	augmentation	augmentation	NOUN
cana-2864	165	7	techniques	technique	NOUN
cana-2864	165	8	and	and	CCONJ
cana-2864	165	9	a	a	DET
cana-2864	165	10	custom	custom	NOUN
cana-2864	165	11	learning	learning	NOUN
cana-2864	165	12	rate	rate	NOUN
cana-2864	165	13	schedule	schedule	NOUN
cana-2864	165	14	contributed	contribute	VERB
cana-2864	165	15	to	to	ADP
cana-2864	165	16	the	the	DET
cana-2864	165	17	model	model	NOUN
cana-2864	165	18	's	's	PART
cana-2864	165	19	robust	robust	ADJ
cana-2864	165	20	performance	performance	NOUN
cana-2864	165	21	.	.	PUNCT
cana-2864	166	1	communications	communication	NOUN
cana-2864	166	2	on	on	ADP
cana-2864	166	3	applied	apply	VERB
cana-2864	166	4	nonlinear	nonlinear	ADJ
cana-2864	166	5	analysis	analysis	NOUN
cana-2864	166	6	issn	issn	NOUN
cana-2864	166	7	:	:	PUNCT
cana-2864	166	8	1074	1074	NUM
cana-2864	166	9	-	-	PUNCT
cana-2864	166	10	133x	133x	NUM
cana-2864	166	11	vol	vol	NOUN
cana-2864	166	12	32	32	NUM
cana-2864	166	13	no	no	NOUN
cana-2864	166	14	.	.	PUNCT
cana-2864	167	1	4s	4s	NUM
cana-2864	167	2	(	(	PUNCT
cana-2864	167	3	2025	2025	NUM
cana-2864	167	4	)	)	PUNCT
cana-2864	167	5	468	468	NUM
cana-2864	167	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2864	167	7	the	the	DET
cana-2864	167	8	results	result	NOUN
cana-2864	167	9	demonstrate	demonstrate	VERB
cana-2864	167	10	the	the	DET
cana-2864	167	11	potential	potential	NOUN
cana-2864	167	12	of	of	ADP
cana-2864	167	13	deep	deep	ADJ
cana-2864	167	14	learning	learning	NOUN
cana-2864	167	15	in	in	ADP
cana-2864	167	16	revolutionizing	revolutionize	VERB
cana-2864	167	17	plant	plant	NOUN
cana-2864	167	18	disease	disease	NOUN
cana-2864	167	19	diagnosis	diagnosis	NOUN
cana-2864	167	20	,	,	PUNCT
cana-2864	167	21	offering	offer	VERB
cana-2864	167	22	a	a	DET
cana-2864	167	23	fast	fast	ADJ
cana-2864	167	24	,	,	PUNCT
cana-2864	167	25	accurate	accurate	ADJ
cana-2864	167	26	,	,	PUNCT
cana-2864	167	27	and	and	CCONJ
cana-2864	167	28	scalable	scalable	ADJ
cana-2864	167	29	solution	solution	NOUN
cana-2864	167	30	.	.	PUNCT
cana-2864	168	1	this	this	DET
cana-2864	168	2	technology	technology	NOUN
cana-2864	168	3	could	could	AUX
cana-2864	168	4	significantly	significantly	ADV
cana-2864	168	5	impact	impact	VERB
cana-2864	168	6	agricultural	agricultural	ADJ
cana-2864	168	7	practices	practice	NOUN
cana-2864	168	8	by	by	ADP
cana-2864	168	9	enabling	enable	VERB
cana-2864	168	10	early	early	ADJ
cana-2864	168	11	disease	disease	NOUN
cana-2864	168	12	detection	detection	NOUN
cana-2864	168	13	,	,	PUNCT
cana-2864	168	14	potentially	potentially	ADV
cana-2864	168	15	reducing	reduce	VERB
cana-2864	168	16	crop	crop	NOUN
cana-2864	168	17	losses	loss	NOUN
cana-2864	168	18	and	and	CCONJ
cana-2864	168	19	pesticide	pesticide	NOUN
cana-2864	168	20	use	use	NOUN
cana-2864	168	21	.	.	PUNCT
cana-2864	169	1	while	while	SCONJ
cana-2864	169	2	the	the	DET
cana-2864	169	3	model	model	NOUN
cana-2864	169	4	shows	show	VERB
cana-2864	169	5	promise	promise	VERB
cana-2864	169	6	,	,	PUNCT
cana-2864	169	7	further	further	ADJ
cana-2864	169	8	research	research	NOUN
cana-2864	169	9	is	be	AUX
cana-2864	169	10	needed	need	VERB
cana-2864	169	11	to	to	PART
cana-2864	169	12	address	address	VERB
cana-2864	169	13	limitations	limitation	NOUN
cana-2864	169	14	and	and	CCONJ
cana-2864	169	15	enhance	enhance	VERB
cana-2864	169	16	its	its	PRON
cana-2864	169	17	practical	practical	ADJ
cana-2864	169	18	applicability	applicability	NOUN
cana-2864	169	19	.	.	PUNCT
cana-2864	170	1	future	future	ADJ
cana-2864	170	2	work	work	NOUN
cana-2864	170	3	should	should	AUX
cana-2864	170	4	focus	focus	VERB
cana-2864	170	5	on	on	ADP
cana-2864	170	6	real	real	ADJ
cana-2864	170	7	-	-	PUNCT
cana-2864	170	8	world	world	NOUN
cana-2864	170	9	testing	testing	NOUN
cana-2864	170	10	,	,	PUNCT
cana-2864	170	11	model	model	NOUN
cana-2864	170	12	optimization	optimization	NOUN
cana-2864	170	13	for	for	ADP
cana-2864	170	14	resourceconstrained	resourceconstraine	VERB
cana-2864	170	15	environments	environment	NOUN
cana-2864	170	16	,	,	PUNCT
cana-2864	170	17	improving	improve	VERB
cana-2864	170	18	explainability	explainability	NOUN
cana-2864	170	19	,	,	PUNCT
cana-2864	170	20	and	and	CCONJ
cana-2864	170	21	developing	develop	VERB
cana-2864	170	22	continuous	continuous	ADJ
cana-2864	170	23	learning	learning	NOUN
cana-2864	170	24	capabilities	capability	NOUN
cana-2864	170	25	.	.	PUNCT
cana-2864	171	1	in	in	ADP
cana-2864	171	2	conclusion	conclusion	NOUN
cana-2864	171	3	,	,	PUNCT
cana-2864	171	4	our	our	PRON
cana-2864	171	5	research	research	NOUN
cana-2864	171	6	contributes	contribute	VERB
cana-2864	171	7	to	to	ADP
cana-2864	171	8	the	the	DET
cana-2864	171	9	growing	grow	VERB
cana-2864	171	10	field	field	NOUN
cana-2864	171	11	of	of	ADP
cana-2864	171	12	ai	ai	NOUN
cana-2864	171	13	in	in	ADP
cana-2864	171	14	agriculture	agriculture	NOUN
cana-2864	171	15	,	,	PUNCT
cana-2864	171	16	paving	pave	VERB
cana-2864	171	17	the	the	DET
cana-2864	171	18	way	way	NOUN
cana-2864	171	19	for	for	ADP
cana-2864	171	20	more	more	ADV
cana-2864	171	21	efficient	efficient	ADJ
cana-2864	171	22	and	and	CCONJ
cana-2864	171	23	sustainable	sustainable	ADJ
cana-2864	171	24	farming	farming	NOUN
cana-2864	171	25	practices	practice	NOUN
cana-2864	171	26	through	through	ADP
cana-2864	171	27	advanced	advanced	ADJ
cana-2864	171	28	plant	plant	NOUN
cana-2864	171	29	disease	disease	NOUN
cana-2864	171	30	detection	detection	NOUN
cana-2864	171	31	techniques	technique	NOUN
cana-2864	171	32	.	.	PUNCT
cana-2864	172	1	references	reference	NOUN
cana-2864	172	2	[	[	X
cana-2864	172	3	1	1	NUM
cana-2864	172	4	]	]	X
cana-2864	172	5	camargo	camargo	PROPN
cana-2864	172	6	,	,	PUNCT
cana-2864	172	7	a.	a.	PROPN
cana-2864	172	8	,	,	PUNCT
cana-2864	172	9	&	&	CCONJ
cana-2864	172	10	smith	smith	PROPN
cana-2864	172	11	,	,	PUNCT
cana-2864	172	12	r.	r.	PROPN
cana-2864	172	13	(	(	PUNCT
cana-2864	172	14	2009	2009	NUM
cana-2864	172	15	)	)	PUNCT
cana-2864	172	16	.	.	PUNCT
cana-2864	173	1	automated	automate	VERB
cana-2864	173	2	identification	identification	NOUN
cana-2864	173	3	of	of	ADP
cana-2864	173	4	cotton	cotton	NOUN
cana-2864	173	5	diseases	disease	NOUN
cana-2864	173	6	using	use	VERB
cana-2864	173	7	image	image	NOUN
cana-2864	173	8	processing	processing	NOUN
cana-2864	173	9	techniques	technique	NOUN
cana-2864	173	10	.	.	PUNCT
cana-2864	174	1	this	this	DET
cana-2864	174	2	foundational	foundational	ADJ
cana-2864	174	3	work	work	NOUN
cana-2864	174	4	explores	explore	VERB
cana-2864	174	5	early	early	ADJ
cana-2864	174	6	systems	system	NOUN
cana-2864	174	7	for	for	ADP
cana-2864	174	8	plant	plant	NOUN
cana-2864	174	9	disease	disease	NOUN
cana-2864	174	10	detection	detection	NOUN
cana-2864	174	11	using	use	VERB
cana-2864	174	12	image	image	NOUN
cana-2864	174	13	processing	processing	NOUN
cana-2864	174	14	methods	method	NOUN
cana-2864	174	15	.	.	PUNCT
cana-2864	175	1	[	[	X
cana-2864	175	2	2	2	NUM
cana-2864	175	3	]	]	PUNCT
cana-2864	175	4	mohanty	mohanty	NOUN
cana-2864	175	5	,	,	PUNCT
cana-2864	175	6	s.	s.	PROPN
cana-2864	175	7	p.	p.	PROPN
cana-2864	175	8	,	,	PUNCT
cana-2864	175	9	hughes	hughes	PROPN
cana-2864	175	10	,	,	PUNCT
cana-2864	175	11	d.	d.	PROPN
cana-2864	175	12	p.	p.	PROPN
cana-2864	175	13	,	,	PUNCT
cana-2864	175	14	&	&	CCONJ
cana-2864	175	15	salathé	salathé	PROPN
cana-2864	175	16	,	,	PUNCT
cana-2864	175	17	m.	m.	NOUN
cana-2864	175	18	(	(	PUNCT
cana-2864	175	19	2016	2016	NUM
cana-2864	175	20	)	)	PUNCT
cana-2864	175	21	.	.	PUNCT
cana-2864	176	1	using	use	VERB
cana-2864	176	2	deep	deep	ADJ
cana-2864	176	3	learning	learning	NOUN
cana-2864	176	4	for	for	ADP
cana-2864	176	5	image	image	NOUN
cana-2864	176	6	-	-	PUNCT
cana-2864	176	7	based	base	VERB
cana-2864	176	8	plant	plant	NOUN
cana-2864	176	9	disease	disease	NOUN
cana-2864	176	10	detection	detection	NOUN
cana-2864	176	11	.	.	PUNCT
cana-2864	177	1	frontiers	frontier	NOUN
cana-2864	177	2	in	in	ADP
cana-2864	177	3	plant	plant	NOUN
cana-2864	177	4	science	science	NOUN
cana-2864	177	5	,	,	PUNCT
cana-2864	177	6	7	7	NUM
cana-2864	177	7	,	,	PUNCT
cana-2864	177	8	1419	1419	NUM
cana-2864	177	9	.	.	PUNCT
cana-2864	178	1	this	this	DET
cana-2864	178	2	paper	paper	NOUN
cana-2864	178	3	compares	compare	VERB
cana-2864	178	4	various	various	ADJ
cana-2864	178	5	traditional	traditional	ADJ
cana-2864	178	6	machine	machine	NOUN
cana-2864	178	7	learning	learn	VERB
cana-2864	178	8	classifiers	classifier	NOUN
cana-2864	178	9	and	and	CCONJ
cana-2864	178	10	demonstrates	demonstrate	VERB
cana-2864	178	11	the	the	DET
cana-2864	178	12	potential	potential	NOUN
cana-2864	178	13	of	of	ADP
cana-2864	178	14	deep	deep	ADJ
cana-2864	178	15	learning	learning	NOUN
cana-2864	178	16	in	in	ADP
cana-2864	178	17	achieving	achieve	VERB
cana-2864	178	18	high	high	ADJ
cana-2864	178	19	accuracy	accuracy	NOUN
cana-2864	178	20	rates	rate	NOUN
cana-2864	178	21	.	.	PUNCT
cana-2864	179	1	[	[	X
cana-2864	179	2	3	3	NUM
cana-2864	179	3	]	]	X
cana-2864	179	4	sladojevic	sladojevic	ADJ
cana-2864	179	5	,	,	PUNCT
cana-2864	179	6	s.	s.	PROPN
cana-2864	179	7	,	,	PUNCT
cana-2864	179	8	anderson	anderson	PROPN
cana-2864	179	9	,	,	PUNCT
cana-2864	179	10	j.	j.	PROPN
cana-2864	179	11	,	,	PUNCT
cana-2864	179	12	&	&	CCONJ
cana-2864	179	13	jevsikova	jevsikova	PROPN
cana-2864	179	14	,	,	PUNCT
cana-2864	179	15	t.	t.	PROPN
cana-2864	179	16	(	(	PUNCT
cana-2864	179	17	2016	2016	NUM
cana-2864	179	18	)	)	PUNCT
cana-2864	179	19	.	.	PUNCT
cana-2864	180	1	deep	deep	ADJ
cana-2864	180	2	neural	neural	ADJ
cana-2864	180	3	networks	network	NOUN
cana-2864	180	4	for	for	ADP
cana-2864	180	5	plant	plant	NOUN
cana-2864	180	6	disease	disease	NOUN
cana-2864	180	7	detection	detection	NOUN
cana-2864	180	8	and	and	CCONJ
cana-2864	180	9	diagnosis	diagnosis	NOUN
cana-2864	180	10	.	.	PUNCT
cana-2864	181	1	computers	computer	NOUN
cana-2864	181	2	and	and	CCONJ
cana-2864	181	3	electronics	electronic	NOUN
cana-2864	181	4	in	in	ADP
cana-2864	181	5	agriculture	agriculture	NOUN
cana-2864	181	6	,	,	PUNCT
cana-2864	181	7	138	138	NUM
cana-2864	181	8	,	,	PUNCT
cana-2864	181	9	193	193	NUM
cana-2864	181	10	-	-	SYM
cana-2864	181	11	200	200	NUM
cana-2864	181	12	.	.	PUNCT
cana-2864	182	1	[	[	X
cana-2864	182	2	4	4	X
cana-2864	182	3	]	]	PUNCT
cana-2864	182	4	too	too	ADV
cana-2864	182	5	,	,	PUNCT
cana-2864	182	6	e.	e.	PROPN
cana-2864	182	7	,	,	PUNCT
cana-2864	182	8	et	et	PROPN
cana-2864	182	9	al	al	PROPN
cana-2864	182	10	.	.	PROPN
cana-2864	183	1	(	(	PUNCT
cana-2864	183	2	2019	2019	NUM
cana-2864	183	3	)	)	PUNCT
cana-2864	183	4	.	.	PUNCT
cana-2864	184	1	transfer	transfer	NOUN
cana-2864	184	2	learning	learning	NOUN
cana-2864	184	3	for	for	ADP
cana-2864	184	4	plant	plant	NOUN
cana-2864	184	5	disease	disease	NOUN
cana-2864	184	6	detection	detection	NOUN
cana-2864	184	7	:	:	PUNCT
cana-2864	184	8	a	a	DET
cana-2864	184	9	review	review	NOUN
cana-2864	184	10	.	.	PUNCT
cana-2864	185	1	international	international	ADJ
cana-2864	185	2	journal	journal	PROPN
cana-2864	185	3	of	of	ADP
cana-2864	185	4	computer	computer	NOUN
cana-2864	185	5	applications	application	NOUN
cana-2864	185	6	,	,	PUNCT
cana-2864	185	7	178(19	178(19	NUM
cana-2864	185	8	)	)	PUNCT
cana-2864	185	9	,	,	PUNCT
cana-2864	185	10	1	1	NUM
cana-2864	185	11	-	-	SYM
cana-2864	185	12	7	7	NUM
cana-2864	185	13	.	.	PUNCT
cana-2864	186	1	[	[	X
cana-2864	186	2	5	5	NUM
cana-2864	186	3	]	]	PUNCT
cana-2864	186	4	ferentinos	ferentinos	ADV
cana-2864	186	5	,	,	PUNCT
cana-2864	186	6	k.	k.	PROPN
cana-2864	186	7	p.	p.	PROPN
cana-2864	186	8	(	(	PUNCT
cana-2864	186	9	2018	2018	NUM
cana-2864	186	10	)	)	PUNCT
cana-2864	186	11	.	.	PUNCT
cana-2864	187	1	deep	deep	ADJ
cana-2864	187	2	learning	learning	NOUN
cana-2864	187	3	models	model	NOUN
cana-2864	187	4	for	for	ADP
cana-2864	187	5	plant	plant	NOUN
cana-2864	187	6	disease	disease	NOUN
cana-2864	187	7	detection	detection	NOUN
cana-2864	187	8	and	and	CCONJ
cana-2864	187	9	diagnosis	diagnosis	NOUN
cana-2864	187	10	.	.	PUNCT
cana-2864	188	1	computers	computer	NOUN
cana-2864	188	2	and	and	CCONJ
cana-2864	188	3	electronics	electronic	NOUN
cana-2864	188	4	in	in	ADP
cana-2864	188	5	agriculture	agriculture	NOUN
cana-2864	188	6	,	,	PUNCT
cana-2864	188	7	145	145	NUM
cana-2864	188	8	,	,	PUNCT
cana-2864	188	9	311	311	NUM
cana-2864	188	10	-	-	SYM
cana-2864	188	11	318	318	NUM
cana-2864	188	12	.	.	PUNCT
cana-2864	189	1	this	this	DET
cana-2864	189	2	paper	paper	NOUN
cana-2864	189	3	explores	explore	VERB
cana-2864	189	4	different	different	ADJ
cana-2864	189	5	cnn	cnn	PROPN
cana-2864	189	6	architectures	architecture	NOUN
cana-2864	189	7	and	and	CCONJ
cana-2864	189	8	their	their	PRON
cana-2864	189	9	combinations	combination	NOUN
cana-2864	189	10	to	to	PART
cana-2864	189	11	improve	improve	VERB
cana-2864	189	12	classification	classification	NOUN
cana-2864	189	13	accuracy	accuracy	NOUN
cana-2864	189	14	through	through	ADP
cana-2864	189	15	ensemble	ensemble	ADJ
cana-2864	189	16	methods	method	NOUN
cana-2864	189	17	.	.	PUNCT
cana-2864	190	1	[	[	X
cana-2864	190	2	6	6	NUM
cana-2864	190	3	]	]	X
cana-2864	190	4	brahimi	brahimi	PROPN
cana-2864	190	5	,	,	PUNCT
cana-2864	190	6	m.	m.	NOUN
cana-2864	190	7	,	,	PUNCT
cana-2864	190	8	et	et	PROPN
cana-2864	190	9	al	al	PROPN
cana-2864	190	10	.	.	PUNCT
cana-2864	190	11	(	(	PUNCT
cana-2864	190	12	2018	2018	NUM
cana-2864	190	13	)	)	PUNCT
cana-2864	190	14	.	.	PUNCT
cana-2864	191	1	tomato	tomato	NOUN
cana-2864	191	2	disease	disease	NOUN
cana-2864	191	3	detection	detection	NOUN
cana-2864	191	4	using	use	VERB
cana-2864	191	5	deep	deep	ADJ
cana-2864	191	6	learning	learning	NOUN
cana-2864	191	7	techniques	technique	NOUN
cana-2864	191	8	:	:	PUNCT
cana-2864	191	9	a	a	DET
cana-2864	191	10	survey	survey	NOUN
cana-2864	191	11	and	and	CCONJ
cana-2864	191	12	a	a	DET
cana-2864	191	13	new	new	ADJ
cana-2864	191	14	approach	approach	NOUN
cana-2864	191	15	based	base	VERB
cana-2864	191	16	on	on	ADP
cana-2864	191	17	densenet	densenet	NOUN
cana-2864	191	18	architecture	architecture	NOUN
cana-2864	191	19	.	.	PUNCT
cana-2864	192	1	computers	computer	NOUN
cana-2864	192	2	and	and	CCONJ
cana-2864	192	3	electronics	electronic	NOUN
cana-2864	192	4	in	in	ADP
cana-2864	192	5	agriculture	agriculture	NOUN
cana-2864	192	6	,	,	PUNCT
cana-2864	192	7	154	154	NUM
cana-2864	192	8	,	,	PUNCT
cana-2864	192	9	1	1	NUM
cana-2864	192	10	-	-	SYM
cana-2864	192	11	10	10	NUM
cana-2864	192	12	.	.	PUNCT
cana-2864	193	1	this	this	DET
cana-2864	193	2	research	research	NOUN
cana-2864	193	3	highlights	highlight	VERB
cana-2864	193	4	the	the	DET
cana-2864	193	5	application	application	NOUN
cana-2864	193	6	of	of	ADP
cana-2864	193	7	densenet	densenet	NOUN
cana-2864	193	8	for	for	ADP
cana-2864	193	9	detecting	detect	VERB
cana-2864	193	10	diseases	disease	NOUN
cana-2864	193	11	in	in	ADP
cana-2864	193	12	tomato	tomato	NOUN
cana-2864	193	13	plants	plant	NOUN
cana-2864	193	14	.	.	PUNCT
cana-2864	194	1	[	[	X
cana-2864	194	2	7	7	NUM
cana-2864	194	3	]	]	X
cana-2864	194	4	kartal	kartal	X
cana-2864	194	5	,	,	PUNCT
cana-2864	194	6	b.	b.	PROPN
cana-2864	194	7	,	,	PUNCT
cana-2864	194	8	et	et	PROPN
cana-2864	194	9	al	al	PROPN
cana-2864	194	10	.	.	PROPN
cana-2864	194	11	(	(	PUNCT
cana-2864	194	12	2021	2021	NUM
cana-2864	194	13	)	)	PUNCT
cana-2864	194	14	.	.	PUNCT
cana-2864	195	1	data	datum	NOUN
cana-2864	195	2	augmentation	augmentation	NOUN
cana-2864	195	3	techniques	technique	NOUN
cana-2864	195	4	for	for	ADP
cana-2864	195	5	improving	improve	VERB
cana-2864	195	6	plant	plant	NOUN
cana-2864	195	7	disease	disease	NOUN
cana-2864	195	8	classification	classification	NOUN
cana-2864	195	9	performance	performance	NOUN
cana-2864	195	10	:	:	PUNCT
cana-2864	195	11	a	a	DET
cana-2864	195	12	review	review	NOUN
cana-2864	195	13	.	.	PUNCT
cana-2864	196	1	computers	computer	NOUN
cana-2864	196	2	and	and	CCONJ
cana-2864	196	3	electronics	electronic	NOUN
cana-2864	196	4	in	in	ADP
cana-2864	196	5	agriculture	agriculture	NOUN
cana-2864	196	6	,	,	PUNCT
cana-2864	196	7	183	183	NUM
cana-2864	196	8	,	,	PUNCT
cana-2864	196	9	105964	105964	NUM
cana-2864	196	10	.	.	PUNCT
cana-2864	197	1	this	this	DET
cana-2864	197	2	paper	paper	NOUN
cana-2864	197	3	reviews	review	VERB
cana-2864	197	4	various	various	ADJ
cana-2864	197	5	data	datum	NOUN
cana-2864	197	6	augmentation	augmentation	NOUN
cana-2864	197	7	techniques	technique	NOUN
cana-2864	197	8	that	that	PRON
cana-2864	197	9	enhance	enhance	VERB
cana-2864	197	10	model	model	NOUN
cana-2864	197	11	performance	performance	NOUN
cana-2864	197	12	in	in	ADP
cana-2864	197	13	plant	plant	NOUN
cana-2864	197	14	disease	disease	NOUN
cana-2864	197	15	classification	classification	NOUN
cana-2864	197	16	tasks	task	NOUN
cana-2864	197	17	.	.	PUNCT
cana-2864	198	1	[	[	X
cana-2864	198	2	8	8	NUM
cana-2864	198	3	]	]	X
cana-2864	198	4	parraga	parraga	NOUN
cana-2864	198	5	-	-	PUNCT
cana-2864	198	6	alava	alava	PROPN
cana-2864	198	7	,	,	PUNCT
cana-2864	198	8	j.	j.	PROPN
cana-2864	198	9	,	,	PUNCT
cana-2864	198	10	et	et	PROPN
cana-2864	198	11	al	al	PROPN
cana-2864	198	12	.	.	PROPN
cana-2864	198	13	(	(	PUNCT
cana-2864	198	14	2022	2022	NUM
cana-2864	198	15	)	)	PUNCT
cana-2864	198	16	.	.	PUNCT
cana-2864	199	1	mobile	mobile	NOUN
cana-2864	199	2	-	-	PUNCT
cana-2864	199	3	based	base	VERB
cana-2864	199	4	system	system	NOUN
cana-2864	199	5	for	for	ADP
cana-2864	199	6	real	real	ADJ
cana-2864	199	7	-	-	PUNCT
cana-2864	199	8	time	time	NOUN
cana-2864	199	9	plant	plant	NOUN
cana-2864	199	10	disease	disease	NOUN
cana-2864	199	11	detection	detection	NOUN
cana-2864	199	12	using	use	VERB
cana-2864	199	13	deep	deep	ADJ
cana-2864	199	14	learning	learning	NOUN
cana-2864	199	15	techniques	technique	NOUN
cana-2864	199	16	:	:	PUNCT
cana-2864	199	17	a	a	DET
cana-2864	199	18	case	case	NOUN
cana-2864	199	19	study	study	NOUN
cana-2864	199	20	on	on	ADP
cana-2864	199	21	tomato	tomato	NOUN
cana-2864	199	22	plants	plant	NOUN
cana-2864	199	23	.	.	PUNCT
cana-2864	200	1	sensors	sensor	NOUN
cana-2864	200	2	,	,	PUNCT
cana-2864	200	3	22(1	22(1	NUM
cana-2864	200	4	)	)	PUNCT
cana-2864	200	5	,	,	PUNCT
cana-2864	200	6	123	123	NUM
cana-2864	200	7	-	-	SYM
cana-2864	200	8	139	139	NUM
cana-2864	200	9	.	.	PUNCT
cana-2864	201	1	this	this	DET
cana-2864	201	2	study	study	NOUN
cana-2864	201	3	presents	present	VERB
cana-2864	201	4	a	a	DET
cana-2864	201	5	mobile	mobile	ADJ
cana-2864	201	6	solution	solution	NOUN
cana-2864	201	7	for	for	ADP
cana-2864	201	8	on	on	ADP
cana-2864	201	9	-	-	PUNCT
cana-2864	201	10	field	field	NOUN
cana-2864	201	11	diagnostics	diagnostic	NOUN
cana-2864	201	12	of	of	ADP
cana-2864	201	13	plant	plant	NOUN
cana-2864	201	14	diseases	disease	NOUN
cana-2864	201	15	.	.	PUNCT
cana-2864	202	1	[	[	X
cana-2864	202	2	9	9	NUM
cana-2864	202	3	]	]	SYM
cana-2864	202	4	barbedo	barbedo	NOUN
cana-2864	202	5	,	,	PUNCT
cana-2864	202	6	j.g.a	j.g.a	PROPN
cana-2864	202	7	.	.	PUNCT
cana-2864	202	8	(	(	PUNCT
cana-2864	202	9	2018	2018	NUM
cana-2864	202	10	)	)	PUNCT
cana-2864	202	11	.	.	PUNCT
cana-2864	203	1	digital	digital	ADJ
cana-2864	203	2	image	image	NOUN
cana-2864	203	3	processing	processing	NOUN
cana-2864	203	4	techniques	technique	NOUN
cana-2864	203	5	for	for	ADP
cana-2864	203	6	detecting	detect	VERB
cana-2864	203	7	plant	plant	NOUN
cana-2864	203	8	diseases	disease	NOUN
cana-2864	203	9	:	:	PUNCT
cana-2864	203	10	a	a	DET
cana-2864	203	11	review	review	NOUN
cana-2864	203	12	of	of	ADP
cana-2864	203	13	the	the	DET
cana-2864	203	14	literature	literature	NOUN
cana-2864	203	15	and	and	CCONJ
cana-2864	203	16	future	future	ADJ
cana-2864	203	17	perspectives	perspective	NOUN
cana-2864	203	18	.	.	PUNCT
cana-2864	204	1	computers	computer	NOUN
cana-2864	204	2	and	and	CCONJ
cana-2864	204	3	electronics	electronic	NOUN
cana-2864	204	4	in	in	ADP
cana-2864	204	5	agriculture	agriculture	NOUN
cana-2864	204	6	,	,	PUNCT
cana-2864	204	7	153	153	NUM
cana-2864	204	8	,	,	PUNCT
cana-2864	204	9	69	69	NUM
cana-2864	204	10	-	-	SYM
cana-2864	204	11	82	82	NUM
cana-2864	204	12	.	.	PUNCT
cana-2864	205	1	this	this	DET
cana-2864	205	2	comprehensive	comprehensive	ADJ
cana-2864	205	3	review	review	NOUN
cana-2864	205	4	discusses	discuss	VERB
cana-2864	205	5	limitations	limitation	NOUN
cana-2864	205	6	in	in	ADP
cana-2864	205	7	current	current	ADJ
cana-2864	205	8	systems	system	NOUN
cana-2864	205	9	and	and	CCONJ
cana-2864	205	10	suggests	suggest	VERB
cana-2864	205	11	future	future	ADJ
cana-2864	205	12	research	research	NOUN
cana-2864	205	13	directions	direction	NOUN
cana-2864	205	14	.	.	PUNCT