id	sid	tid	token	lemma	pos
aiti-11568	1	1	microsoft	microsoft	PROPN
aiti-11568	1	2	word	word	NOUN
aiti-11568	1	3	3	3	NUM
aiti-11568	1	4	-	-	PUNCT
aiti-11568	1	5	v8n3(2023)-aiti#11568(192	v8n3(2023)-aiti#11568(192	NOUN
aiti-11568	1	6	-	-	PUNCT
aiti-11568	1	7	209).docx	209).docx	NUM
aiti-11568	1	8	advances	advance	NOUN
aiti-11568	1	9	in	in	ADP
aiti-11568	1	10	technology	technology	NOUN
aiti-11568	1	11	innovation	innovation	NOUN
aiti-11568	1	12	,	,	PUNCT
aiti-11568	1	13	vol	vol	NOUN
aiti-11568	1	14	.	.	PROPN
aiti-11568	1	15	8	8	NUM
aiti-11568	1	16	,	,	PUNCT
aiti-11568	1	17	no	no	INTJ
aiti-11568	1	18	.	.	NOUN
aiti-11568	1	19	3	3	NUM
aiti-11568	1	20	,	,	PUNCT
aiti-11568	1	21	2023	2023	NUM
aiti-11568	1	22	,	,	PUNCT
aiti-11568	1	23	pp	pp	ADJ
aiti-11568	1	24	.	.	PUNCT
aiti-11568	2	1	192	192	NUM
aiti-11568	2	2	-	-	SYM
aiti-11568	2	3	209	209	NUM
aiti-11568	2	4	english	english	ADJ
aiti-11568	2	5	language	language	NOUN
aiti-11568	2	6	proofreader	proofreader	NOUN
aiti-11568	2	7	:	:	PUNCT
aiti-11568	2	8	chih	chih	PROPN
aiti-11568	2	9	-	-	PUNCT
aiti-11568	2	10	wen	wen	PROPN
aiti-11568	2	11	teng	teng	PROPN
aiti-11568	2	12	an	an	DET
aiti-11568	2	13	improved	improved	ADJ
aiti-11568	2	14	mobilenet	mobilenet	NOUN
aiti-11568	2	15	for	for	ADP
aiti-11568	2	16	disease	disease	NOUN
aiti-11568	2	17	detection	detection	NOUN
aiti-11568	2	18	on	on	ADP
aiti-11568	2	19	tomato	tomato	NOUN
aiti-11568	2	20	leaves	leave	VERB
aiti-11568	2	21	hai	hai	PROPN
aiti-11568	2	22	thanh	thanh	PROPN
aiti-11568	2	23	nguyen1	nguyen1	PROPN
aiti-11568	2	24	,	,	PUNCT
aiti-11568	2	25	*	*	PUNCT
aiti-11568	2	26	,	,	PUNCT
aiti-11568	2	27	huong	huong	PROPN
aiti-11568	2	28	hoang	hoang	PROPN
aiti-11568	2	29	luong2	luong2	PROPN
aiti-11568	2	30	,	,	PUNCT
aiti-11568	2	31	long	long	ADJ
aiti-11568	2	32	bao	bao	PROPN
aiti-11568	2	33	huynh2	huynh2	PROPN
aiti-11568	2	34	,	,	PUNCT
aiti-11568	2	35	bao	bao	PROPN
aiti-11568	2	36	quoc	quoc	PROPN
aiti-11568	2	37	hoang	hoang	PROPN
aiti-11568	2	38	le2	le2	PROPN
aiti-11568	2	39	,	,	PUNCT
aiti-11568	2	40	nhan	nhan	NOUN
aiti-11568	2	41	hieu	hieu	NOUN
aiti-11568	2	42	doan2	doan2	PROPN
aiti-11568	2	43	,	,	PUNCT
aiti-11568	2	44	duc	duc	PROPN
aiti-11568	2	45	thien	thien	PROPN
aiti-11568	2	46	dao	dao	PROPN
aiti-11568	2	47	le2	le2	PROPN
aiti-11568	2	48	1college	1college	NUM
aiti-11568	2	49	of	of	ADP
aiti-11568	2	50	information	information	NOUN
aiti-11568	2	51	and	and	CCONJ
aiti-11568	2	52	communication	communication	NOUN
aiti-11568	2	53	technology	technology	NOUN
aiti-11568	2	54	,	,	PUNCT
aiti-11568	2	55	can	can	AUX
aiti-11568	2	56	tho	tho	PROPN
aiti-11568	2	57	university	university	NOUN
aiti-11568	2	58	,	,	PUNCT
aiti-11568	2	59	can	can	AUX
aiti-11568	2	60	tho	tho	ADV
aiti-11568	2	61	,	,	PUNCT
aiti-11568	2	62	vietnam	vietnam	PROPN
aiti-11568	2	63	2information	2information	PROPN
aiti-11568	2	64	technology	technology	NOUN
aiti-11568	2	65	department	department	NOUN
aiti-11568	2	66	,	,	PUNCT
aiti-11568	2	67	fpt	fpt	PROPN
aiti-11568	2	68	university	university	NOUN
aiti-11568	2	69	,	,	PUNCT
aiti-11568	2	70	can	can	AUX
aiti-11568	2	71	tho	tho	ADV
aiti-11568	2	72	,	,	PUNCT
aiti-11568	2	73	vietnam	vietnam	PROPN
aiti-11568	2	74	received	receive	VERB
aiti-11568	2	75	15	15	NUM
aiti-11568	2	76	february	february	NOUN
aiti-11568	2	77	2023	2023	NUM
aiti-11568	2	78	;	;	PUNCT
aiti-11568	2	79	received	receive	VERB
aiti-11568	2	80	in	in	ADP
aiti-11568	2	81	revised	revise	VERB
aiti-11568	2	82	form	form	NOUN
aiti-11568	2	83	02	02	NUM
aiti-11568	2	84	april	april	PROPN
aiti-11568	2	85	2023	2023	NUM
aiti-11568	2	86	;	;	PUNCT
aiti-11568	2	87	accepted	accept	VERB
aiti-11568	2	88	04	04	NUM
aiti-11568	2	89	april	april	PROPN
aiti-11568	2	90	2023	2023	NUM
aiti-11568	2	91	doi	doi	NOUN
aiti-11568	2	92	:	:	PUNCT
aiti-11568	2	93	https://doi.org/10.46604/aiti.2023.11568	https://doi.org/10.46604/aiti.2023.11568	PROPN
aiti-11568	2	94	abstract	abstract	ADJ
aiti-11568	2	95	tomatoes	tomato	NOUN
aiti-11568	2	96	are	be	AUX
aiti-11568	2	97	widely	widely	ADV
aiti-11568	2	98	grown	grow	VERB
aiti-11568	2	99	vegetables	vegetable	NOUN
aiti-11568	2	100	,	,	PUNCT
aiti-11568	2	101	and	and	CCONJ
aiti-11568	2	102	farmers	farmer	NOUN
aiti-11568	2	103	face	face	VERB
aiti-11568	2	104	challenges	challenge	NOUN
aiti-11568	2	105	in	in	ADP
aiti-11568	2	106	caring	care	VERB
aiti-11568	2	107	for	for	ADP
aiti-11568	2	108	them	they	PRON
aiti-11568	2	109	,	,	PUNCT
aiti-11568	2	110	particularly	particularly	ADV
aiti-11568	2	111	regarding	regard	VERB
aiti-11568	2	112	plant	plant	NOUN
aiti-11568	2	113	diseases	disease	NOUN
aiti-11568	2	114	.	.	PUNCT
aiti-11568	3	1	the	the	DET
aiti-11568	3	2	mobilenet	mobilenet	NOUN
aiti-11568	3	3	architecture	architecture	NOUN
aiti-11568	3	4	is	be	AUX
aiti-11568	3	5	renowned	renowned	ADJ
aiti-11568	3	6	for	for	ADP
aiti-11568	3	7	its	its	PRON
aiti-11568	3	8	simplicity	simplicity	NOUN
aiti-11568	3	9	and	and	CCONJ
aiti-11568	3	10	compatibility	compatibility	NOUN
aiti-11568	3	11	with	with	ADP
aiti-11568	3	12	mobile	mobile	ADJ
aiti-11568	3	13	devices	device	NOUN
aiti-11568	3	14	.	.	PUNCT
aiti-11568	4	1	this	this	DET
aiti-11568	4	2	study	study	NOUN
aiti-11568	4	3	introduces	introduce	VERB
aiti-11568	4	4	mobilenet	mobilenet	NOUN
aiti-11568	4	5	as	as	ADP
aiti-11568	4	6	a	a	DET
aiti-11568	4	7	deep	deep	ADJ
aiti-11568	4	8	learning	learning	NOUN
aiti-11568	4	9	model	model	NOUN
aiti-11568	4	10	to	to	PART
aiti-11568	4	11	enhance	enhance	VERB
aiti-11568	4	12	disease	disease	NOUN
aiti-11568	4	13	detection	detection	NOUN
aiti-11568	4	14	efficiency	efficiency	NOUN
aiti-11568	4	15	in	in	ADP
aiti-11568	4	16	tomato	tomato	NOUN
aiti-11568	4	17	plants	plant	NOUN
aiti-11568	4	18	.	.	PUNCT
aiti-11568	5	1	the	the	DET
aiti-11568	5	2	model	model	NOUN
aiti-11568	5	3	is	be	AUX
aiti-11568	5	4	evaluated	evaluate	VERB
aiti-11568	5	5	on	on	ADP
aiti-11568	5	6	a	a	DET
aiti-11568	5	7	dataset	dataset	NOUN
aiti-11568	5	8	of	of	ADP
aiti-11568	5	9	2,064	2,064	NUM
aiti-11568	5	10	tomato	tomato	NOUN
aiti-11568	5	11	leaf	leaf	NOUN
aiti-11568	5	12	images	image	NOUN
aiti-11568	5	13	,	,	PUNCT
aiti-11568	5	14	encompassing	encompass	VERB
aiti-11568	5	15	early	early	ADJ
aiti-11568	5	16	blight	blight	NOUN
aiti-11568	5	17	,	,	PUNCT
aiti-11568	5	18	leaf	leaf	NOUN
aiti-11568	5	19	spot	spot	NOUN
aiti-11568	5	20	,	,	PUNCT
aiti-11568	5	21	yellow	yellow	ADJ
aiti-11568	5	22	curl	curl	NOUN
aiti-11568	5	23	,	,	PUNCT
aiti-11568	5	24	and	and	CCONJ
aiti-11568	5	25	healthy	healthy	ADJ
aiti-11568	5	26	leaves	leave	NOUN
aiti-11568	5	27	.	.	PUNCT
aiti-11568	6	1	results	result	NOUN
aiti-11568	6	2	demonstrate	demonstrate	VERB
aiti-11568	6	3	promising	promising	ADJ
aiti-11568	6	4	accuracy	accuracy	NOUN
aiti-11568	6	5	,	,	PUNCT
aiti-11568	6	6	exceeding	exceed	VERB
aiti-11568	6	7	0.980	0.980	NUM
aiti-11568	6	8	for	for	ADP
aiti-11568	6	9	disease	disease	NOUN
aiti-11568	6	10	classification	classification	NOUN
aiti-11568	6	11	and	and	CCONJ
aiti-11568	6	12	0.975	0.975	NUM
aiti-11568	6	13	for	for	ADP
aiti-11568	6	14	distinguishing	distinguish	VERB
aiti-11568	6	15	between	between	ADP
aiti-11568	6	16	diseases	disease	NOUN
aiti-11568	6	17	and	and	CCONJ
aiti-11568	6	18	healthy	healthy	ADJ
aiti-11568	6	19	cases	case	NOUN
aiti-11568	6	20	.	.	PUNCT
aiti-11568	7	1	moreover	moreover	ADV
aiti-11568	7	2	,	,	PUNCT
aiti-11568	7	3	the	the	DET
aiti-11568	7	4	proposed	propose	VERB
aiti-11568	7	5	model	model	NOUN
aiti-11568	7	6	outperforms	outperform	VERB
aiti-11568	7	7	existing	exist	VERB
aiti-11568	7	8	approaches	approach	NOUN
aiti-11568	7	9	in	in	ADP
aiti-11568	7	10	terms	term	NOUN
aiti-11568	7	11	of	of	ADP
aiti-11568	7	12	accuracy	accuracy	NOUN
aiti-11568	7	13	and	and	CCONJ
aiti-11568	7	14	training	training	NOUN
aiti-11568	7	15	time	time	NOUN
aiti-11568	7	16	for	for	ADP
aiti-11568	7	17	plant	plant	NOUN
aiti-11568	7	18	leaf	leaf	NOUN
aiti-11568	7	19	disease	disease	NOUN
aiti-11568	7	20	detection	detection	NOUN
aiti-11568	7	21	.	.	PUNCT
aiti-11568	8	1	keywords	keyword	NOUN
aiti-11568	8	2	:	:	PUNCT
aiti-11568	8	3	plant	plant	NOUN
aiti-11568	8	4	diseases	disease	NOUN
aiti-11568	8	5	,	,	PUNCT
aiti-11568	8	6	transfer	transfer	NOUN
aiti-11568	8	7	learning	learning	NOUN
aiti-11568	8	8	,	,	PUNCT
aiti-11568	8	9	fine	fine	ADV
aiti-11568	8	10	-	-	PUNCT
aiti-11568	8	11	tuning	tuning	NOUN
aiti-11568	8	12	,	,	PUNCT
aiti-11568	8	13	mobilenet	mobilenet	NOUN
aiti-11568	8	14	,	,	PUNCT
aiti-11568	8	15	mobile	mobile	ADJ
aiti-11568	8	16	devices	device	NOUN
aiti-11568	8	17	1	1	NUM
aiti-11568	8	18	.	.	PUNCT
aiti-11568	8	19	introduction	introduction	NOUN
aiti-11568	8	20	nowadays	nowadays	ADV
aiti-11568	8	21	,	,	PUNCT
aiti-11568	8	22	the	the	DET
aiti-11568	8	23	research	research	NOUN
aiti-11568	8	24	and	and	CCONJ
aiti-11568	8	25	application	application	NOUN
aiti-11568	8	26	of	of	ADP
aiti-11568	8	27	automatic	automatic	ADJ
aiti-11568	8	28	identification	identification	NOUN
aiti-11568	8	29	of	of	ADP
aiti-11568	8	30	plant	plant	NOUN
aiti-11568	8	31	diseases	disease	NOUN
aiti-11568	8	32	using	use	VERB
aiti-11568	8	33	leaves	leave	NOUN
aiti-11568	8	34	are	be	AUX
aiti-11568	8	35	fundamental	fundamental	ADJ
aiti-11568	8	36	to	to	ADP
aiti-11568	8	37	agricultural	agricultural	ADJ
aiti-11568	8	38	needs	need	NOUN
aiti-11568	8	39	.	.	PUNCT
aiti-11568	9	1	moreover	moreover	ADV
aiti-11568	9	2	,	,	PUNCT
aiti-11568	9	3	hassan	hassan	PROPN
aiti-11568	9	4	et	et	PROPN
aiti-11568	9	5	al	al	PROPN
aiti-11568	9	6	.	.	PUNCT
aiti-11568	10	1	[	[	X
aiti-11568	10	2	1	1	X
aiti-11568	10	3	]	]	PUNCT
aiti-11568	10	4	reported	report	VERB
aiti-11568	10	5	that	that	SCONJ
aiti-11568	10	6	early	early	ADJ
aiti-11568	10	7	and	and	CCONJ
aiti-11568	10	8	accurate	accurate	ADJ
aiti-11568	10	9	identification	identification	NOUN
aiti-11568	10	10	of	of	ADP
aiti-11568	10	11	crop	crop	NOUN
aiti-11568	10	12	diseases	disease	NOUN
aiti-11568	10	13	helps	help	VERB
aiti-11568	10	14	farmers	farmer	NOUN
aiti-11568	10	15	to	to	PART
aiti-11568	10	16	reduce	reduce	VERB
aiti-11568	10	17	some	some	DET
aiti-11568	10	18	difficulties	difficulty	NOUN
aiti-11568	10	19	and	and	CCONJ
aiti-11568	10	20	risks	risk	NOUN
aiti-11568	10	21	and	and	CCONJ
aiti-11568	10	22	improve	improve	VERB
aiti-11568	10	23	the	the	DET
aiti-11568	10	24	productivity	productivity	NOUN
aiti-11568	10	25	and	and	CCONJ
aiti-11568	10	26	quality	quality	NOUN
aiti-11568	10	27	of	of	ADP
aiti-11568	10	28	agricultural	agricultural	ADJ
aiti-11568	10	29	products	product	NOUN
aiti-11568	10	30	.	.	PUNCT
aiti-11568	11	1	the	the	DET
aiti-11568	11	2	tomato	tomato	NOUN
aiti-11568	11	3	plant	plant	NOUN
aiti-11568	11	4	,	,	PUNCT
aiti-11568	11	5	one	one	NUM
aiti-11568	11	6	of	of	ADP
aiti-11568	11	7	the	the	DET
aiti-11568	11	8	easiest	easy	ADJ
aiti-11568	11	9	fruits	fruit	NOUN
aiti-11568	11	10	to	to	PART
aiti-11568	11	11	grow	grow	VERB
aiti-11568	11	12	,	,	PUNCT
aiti-11568	11	13	is	be	AUX
aiti-11568	11	14	suitable	suitable	ADJ
aiti-11568	11	15	for	for	ADP
aiti-11568	11	16	many	many	ADJ
aiti-11568	11	17	soil	soil	NOUN
aiti-11568	11	18	types	type	NOUN
aiti-11568	11	19	.	.	PUNCT
aiti-11568	12	1	additionally	additionally	ADV
aiti-11568	12	2	,	,	PUNCT
aiti-11568	12	3	tomatoes	tomato	NOUN
aiti-11568	12	4	bring	bring	VERB
aiti-11568	12	5	very	very	ADV
aiti-11568	12	6	high	high	ADJ
aiti-11568	12	7	nutritional	nutritional	ADJ
aiti-11568	12	8	and	and	CCONJ
aiti-11568	12	9	economic	economic	ADJ
aiti-11568	12	10	value	value	NOUN
aiti-11568	12	11	to	to	ADP
aiti-11568	12	12	human	human	ADJ
aiti-11568	12	13	lives	life	NOUN
aiti-11568	12	14	.	.	PUNCT
aiti-11568	13	1	tomato	tomato	NOUN
aiti-11568	13	2	contains	contain	VERB
aiti-11568	13	3	many	many	ADJ
aiti-11568	13	4	antioxidants	antioxidant	NOUN
aiti-11568	13	5	and	and	CCONJ
aiti-11568	13	6	vitamins	vitamin	NOUN
aiti-11568	13	7	,	,	PUNCT
aiti-11568	13	8	essential	essential	ADJ
aiti-11568	13	9	for	for	ADP
aiti-11568	13	10	people	people	NOUN
aiti-11568	13	11	's	's	PART
aiti-11568	13	12	overall	overall	ADJ
aiti-11568	13	13	health	health	NOUN
aiti-11568	13	14	.	.	PUNCT
aiti-11568	14	1	however	however	ADV
aiti-11568	14	2	,	,	PUNCT
aiti-11568	14	3	sometimes	sometimes	ADV
aiti-11568	14	4	farmers	farmer	NOUN
aiti-11568	14	5	also	also	ADV
aiti-11568	14	6	need	need	VERB
aiti-11568	14	7	help	help	NOUN
aiti-11568	14	8	checking	check	VERB
aiti-11568	14	9	and	and	CCONJ
aiti-11568	14	10	determining	determine	VERB
aiti-11568	14	11	if	if	SCONJ
aiti-11568	14	12	the	the	DET
aiti-11568	14	13	tomato	tomato	NOUN
aiti-11568	14	14	fruit	fruit	NOUN
aiti-11568	14	15	quality	quality	NOUN
aiti-11568	14	16	is	be	AUX
aiti-11568	14	17	up	up	ADP
aiti-11568	14	18	to	to	ADP
aiti-11568	14	19	the	the	DET
aiti-11568	14	20	standard	standard	NOUN
aiti-11568	14	21	or	or	CCONJ
aiti-11568	14	22	if	if	SCONJ
aiti-11568	14	23	the	the	DET
aiti-11568	14	24	tomato	tomato	NOUN
aiti-11568	14	25	plant	plant	NOUN
aiti-11568	14	26	is	be	AUX
aiti-11568	14	27	healthy	healthy	ADJ
aiti-11568	14	28	or	or	CCONJ
aiti-11568	14	29	not	not	PART
aiti-11568	14	30	because	because	SCONJ
aiti-11568	14	31	sometimes	sometimes	ADV
aiti-11568	14	32	diseases	disease	NOUN
aiti-11568	14	33	of	of	ADP
aiti-11568	14	34	tomato	tomato	NOUN
aiti-11568	14	35	plants	plant	NOUN
aiti-11568	14	36	usually	usually	ADV
aiti-11568	14	37	manifest	manifest	VERB
aiti-11568	14	38	mainly	mainly	ADV
aiti-11568	14	39	on	on	ADP
aiti-11568	14	40	their	their	PRON
aiti-11568	14	41	leaves	leave	NOUN
aiti-11568	14	42	[	[	X
aiti-11568	14	43	2	2	NUM
aiti-11568	14	44	]	]	PUNCT
aiti-11568	14	45	.	.	PUNCT
aiti-11568	15	1	moreover	moreover	ADV
aiti-11568	15	2	,	,	PUNCT
aiti-11568	15	3	insects	insect	NOUN
aiti-11568	15	4	and	and	CCONJ
aiti-11568	15	5	pests	pest	NOUN
aiti-11568	15	6	that	that	PRON
aiti-11568	15	7	attack	attack	VERB
aiti-11568	15	8	tomato	tomato	NOUN
aiti-11568	15	9	plants	plant	NOUN
aiti-11568	15	10	and	and	CCONJ
aiti-11568	15	11	produce	produce	VERB
aiti-11568	15	12	numerous	numerous	ADJ
aiti-11568	15	13	illnesses	illness	NOUN
aiti-11568	15	14	can	can	AUX
aiti-11568	15	15	stymie	stymie	VERB
aiti-11568	15	16	the	the	DET
aiti-11568	15	17	production	production	NOUN
aiti-11568	15	18	of	of	ADP
aiti-11568	15	19	this	this	DET
aiti-11568	15	20	well	well	ADV
aiti-11568	15	21	-	-	PUNCT
aiti-11568	15	22	known	know	VERB
aiti-11568	15	23	crop	crop	NOUN
aiti-11568	15	24	.	.	PUNCT
aiti-11568	16	1	therefore	therefore	ADV
aiti-11568	16	2	,	,	PUNCT
aiti-11568	16	3	farmers	farmer	NOUN
aiti-11568	16	4	must	must	AUX
aiti-11568	16	5	first	first	ADV
aiti-11568	16	6	understand	understand	VERB
aiti-11568	16	7	the	the	DET
aiti-11568	16	8	illness	illness	NOUN
aiti-11568	16	9	to	to	PART
aiti-11568	16	10	treat	treat	VERB
aiti-11568	16	11	diseases	disease	NOUN
aiti-11568	16	12	on	on	ADP
aiti-11568	16	13	tomato	tomato	NOUN
aiti-11568	16	14	leaves	leave	NOUN
aiti-11568	16	15	manually	manually	ADV
aiti-11568	16	16	.	.	PUNCT
aiti-11568	17	1	they	they	PRON
aiti-11568	17	2	face	face	VERB
aiti-11568	17	3	many	many	ADJ
aiti-11568	17	4	problems	problem	NOUN
aiti-11568	17	5	yearly	yearly	ADV
aiti-11568	17	6	as	as	SCONJ
aiti-11568	17	7	they	they	PRON
aiti-11568	17	8	try	try	VERB
aiti-11568	17	9	to	to	PART
aiti-11568	17	10	raise	raise	VERB
aiti-11568	17	11	their	their	PRON
aiti-11568	17	12	healthy	healthy	ADJ
aiti-11568	17	13	harvests	harvest	NOUN
aiti-11568	17	14	to	to	PART
aiti-11568	17	15	keep	keep	VERB
aiti-11568	17	16	the	the	DET
aiti-11568	17	17	profits	profit	NOUN
aiti-11568	17	18	from	from	ADP
aiti-11568	17	19	farming	farming	NOUN
aiti-11568	17	20	and	and	CCONJ
aiti-11568	17	21	raising	raise	VERB
aiti-11568	17	22	livestock	livestock	NOUN
aiti-11568	17	23	.	.	PUNCT
aiti-11568	18	1	bhagwat	bhagwat	NOUN
aiti-11568	18	2	and	and	CCONJ
aiti-11568	18	3	dandawate	dandawate	VERB
aiti-11568	19	1	[	[	X
aiti-11568	19	2	3	3	X
aiti-11568	19	3	]	]	PUNCT
aiti-11568	19	4	mentioned	mention	VERB
aiti-11568	19	5	some	some	DET
aiti-11568	19	6	countries	country	NOUN
aiti-11568	19	7	have	have	VERB
aiti-11568	19	8	a	a	DET
aiti-11568	19	9	gross	gross	ADJ
aiti-11568	19	10	domestic	domestic	ADJ
aiti-11568	19	11	product	product	NOUN
aiti-11568	19	12	(	(	PUNCT
aiti-11568	19	13	gdp	gdp	NOUN
aiti-11568	19	14	)	)	PUNCT
aiti-11568	19	15	of	of	ADP
aiti-11568	19	16	up	up	ADP
aiti-11568	19	17	to	to	PART
aiti-11568	19	18	25	25	NUM
aiti-11568	19	19	%	%	NOUN
aiti-11568	19	20	.	.	PUNCT
aiti-11568	20	1	insects	insect	NOUN
aiti-11568	20	2	and	and	CCONJ
aiti-11568	20	3	other	other	ADJ
aiti-11568	20	4	harmful	harmful	ADJ
aiti-11568	20	5	viruses	virus	NOUN
aiti-11568	20	6	damage	damage	NOUN
aiti-11568	20	7	production	production	NOUN
aiti-11568	20	8	lines	line	NOUN
aiti-11568	21	1	and	and	CCONJ
aiti-11568	21	2	slow	slow	VERB
aiti-11568	21	3	them	they	PRON
aiti-11568	21	4	down	down	ADP
aiti-11568	21	5	to	to	ADP
aiti-11568	21	6	the	the	DET
aiti-11568	21	7	point	point	NOUN
aiti-11568	21	8	where	where	SCONJ
aiti-11568	21	9	they	they	PRON
aiti-11568	21	10	can	can	AUX
aiti-11568	21	11	no	no	ADV
aiti-11568	21	12	longer	long	ADV
aiti-11568	21	13	produce	produce	VERB
aiti-11568	21	14	as	as	ADV
aiti-11568	21	15	much	much	ADV
aiti-11568	21	16	as	as	SCONJ
aiti-11568	21	17	they	they	PRON
aiti-11568	21	18	can	can	AUX
aiti-11568	21	19	.	.	PUNCT
aiti-11568	22	1	this	this	PRON
aiti-11568	22	2	is	be	AUX
aiti-11568	22	3	a	a	DET
aiti-11568	22	4	big	big	ADJ
aiti-11568	22	5	problem	problem	NOUN
aiti-11568	22	6	for	for	ADP
aiti-11568	22	7	the	the	DET
aiti-11568	22	8	industry	industry	NOUN
aiti-11568	22	9	,	,	PUNCT
aiti-11568	22	10	especially	especially	ADV
aiti-11568	22	11	farmers	farmer	NOUN
aiti-11568	22	12	.	.	PUNCT
aiti-11568	23	1	even	even	ADV
aiti-11568	23	2	though	though	SCONJ
aiti-11568	23	3	farmers	farmer	NOUN
aiti-11568	23	4	use	use	VERB
aiti-11568	23	5	a	a	DET
aiti-11568	23	6	variety	variety	NOUN
aiti-11568	23	7	of	of	ADP
aiti-11568	23	8	pesticides	pesticide	NOUN
aiti-11568	23	9	and	and	CCONJ
aiti-11568	23	10	insecticides	insecticide	NOUN
aiti-11568	23	11	to	to	PART
aiti-11568	23	12	protect	protect	VERB
aiti-11568	23	13	their	their	PRON
aiti-11568	23	14	tomato	tomato	NOUN
aiti-11568	23	15	plants	plant	NOUN
aiti-11568	23	16	from	from	ADP
aiti-11568	23	17	disease	disease	NOUN
aiti-11568	23	18	,	,	PUNCT
aiti-11568	23	19	they	they	PRON
aiti-11568	23	20	frequently	frequently	ADV
aiti-11568	23	21	need	need	VERB
aiti-11568	23	22	to	to	PART
aiti-11568	23	23	gain	gain	VERB
aiti-11568	23	24	knowledge	knowledge	NOUN
aiti-11568	23	25	of	of	ADP
aiti-11568	23	26	the	the	DET
aiti-11568	23	27	disease	disease	NOUN
aiti-11568	23	28	and	and	CCONJ
aiti-11568	23	29	how	how	SCONJ
aiti-11568	23	30	to	to	PART
aiti-11568	23	31	prevent	prevent	VERB
aiti-11568	23	32	it	it	PRON
aiti-11568	23	33	.	.	PUNCT
aiti-11568	24	1	excessive	excessive	ADJ
aiti-11568	24	2	pesticide	pesticide	NOUN
aiti-11568	24	3	and	and	CCONJ
aiti-11568	24	4	insecticide	insecticide	NOUN
aiti-11568	24	5	usage	usage	NOUN
aiti-11568	24	6	endangers	endanger	VERB
aiti-11568	24	7	human	human	ADJ
aiti-11568	24	8	health	health	NOUN
aiti-11568	24	9	and	and	CCONJ
aiti-11568	24	10	life	life	NOUN
aiti-11568	24	11	.	.	PUNCT
aiti-11568	25	1	crop	crop	NOUN
aiti-11568	25	2	damage	damage	NOUN
aiti-11568	25	3	can	can	AUX
aiti-11568	25	4	result	result	VERB
aiti-11568	25	5	from	from	ADP
aiti-11568	25	6	incorrect	incorrect	ADJ
aiti-11568	25	7	disease	disease	NOUN
aiti-11568	25	8	diagnosis	diagnosis	NOUN
aiti-11568	25	9	and	and	CCONJ
aiti-11568	25	10	applying	apply	VERB
aiti-11568	25	11	too	too	ADV
aiti-11568	25	12	many	many	ADJ
aiti-11568	25	13	or	or	CCONJ
aiti-11568	25	14	too	too	ADV
aiti-11568	25	15	few	few	ADJ
aiti-11568	25	16	pesticides	pesticide	NOUN
aiti-11568	25	17	.	.	PUNCT
aiti-11568	26	1	in	in	ADP
aiti-11568	26	2	addition	addition	NOUN
aiti-11568	26	3	,	,	PUNCT
aiti-11568	26	4	the	the	DET
aiti-11568	26	5	improper	improper	ADJ
aiti-11568	26	6	use	use	NOUN
aiti-11568	26	7	of	of	ADP
aiti-11568	26	8	pesticides	pesticide	NOUN
aiti-11568	26	9	also	also	ADV
aiti-11568	26	10	seriously	seriously	ADV
aiti-11568	26	11	affects	affect	VERB
aiti-11568	26	12	the	the	DET
aiti-11568	26	13	surrounding	surround	VERB
aiti-11568	26	14	soil	soil	NOUN
aiti-11568	26	15	and	and	CCONJ
aiti-11568	26	16	water	water	NOUN
aiti-11568	26	17	environment	environment	NOUN
aiti-11568	26	18	and	and	CCONJ
aiti-11568	26	19	so	so	ADV
aiti-11568	26	20	on	on	ADV
aiti-11568	26	21	.	.	PUNCT
aiti-11568	27	1	*	*	PUNCT
aiti-11568	27	2	corresponding	correspond	VERB
aiti-11568	27	3	author	author	NOUN
aiti-11568	27	4	.	.	PUNCT
aiti-11568	28	1	e	e	X
aiti-11568	28	2	-	-	NOUN
aiti-11568	28	3	mail	mail	NOUN
aiti-11568	28	4	address	address	NOUN
aiti-11568	28	5	:	:	PUNCT
aiti-11568	28	6	nthai.cit@ctu.edu.vn	nthai.cit@ctu.edu.vn	PROPN
aiti-11568	28	7	advances	advance	VERB
aiti-11568	28	8	in	in	ADP
aiti-11568	28	9	technology	technology	NOUN
aiti-11568	28	10	innovation	innovation	NOUN
aiti-11568	28	11	,	,	PUNCT
aiti-11568	28	12	vol	vol	NOUN
aiti-11568	28	13	.	.	PROPN
aiti-11568	28	14	8	8	NUM
aiti-11568	28	15	,	,	PUNCT
aiti-11568	28	16	no	no	INTJ
aiti-11568	28	17	.	.	NOUN
aiti-11568	28	18	3	3	NUM
aiti-11568	28	19	,	,	PUNCT
aiti-11568	28	20	2023	2023	NUM
aiti-11568	28	21	,	,	PUNCT
aiti-11568	28	22	pp	pp	ADJ
aiti-11568	28	23	.	.	PUNCT
aiti-11568	29	1	192	192	NUM
aiti-11568	29	2	-	-	SYM
aiti-11568	29	3	209	209	NUM
aiti-11568	29	4	193	193	NUM
aiti-11568	29	5	diagnosing	diagnose	VERB
aiti-11568	29	6	tomato	tomato	NOUN
aiti-11568	29	7	plant	plant	NOUN
aiti-11568	29	8	diseases	disease	NOUN
aiti-11568	29	9	is	be	AUX
aiti-11568	29	10	very	very	ADV
aiti-11568	29	11	important	important	ADJ
aiti-11568	29	12	to	to	PART
aiti-11568	29	13	achieve	achieve	VERB
aiti-11568	29	14	maximum	maximum	ADJ
aiti-11568	29	15	yields	yield	NOUN
aiti-11568	29	16	.	.	PUNCT
aiti-11568	30	1	on	on	ADP
aiti-11568	30	2	the	the	DET
aiti-11568	30	3	other	other	ADJ
aiti-11568	30	4	hand	hand	NOUN
aiti-11568	30	5	,	,	PUNCT
aiti-11568	30	6	manually	manually	ADV
aiti-11568	30	7	detecting	detect	VERB
aiti-11568	30	8	disease	disease	NOUN
aiti-11568	30	9	by	by	ADP
aiti-11568	30	10	carefully	carefully	ADV
aiti-11568	30	11	examining	examine	VERB
aiti-11568	30	12	the	the	DET
aiti-11568	30	13	crop	crop	NOUN
aiti-11568	30	14	is	be	AUX
aiti-11568	30	15	time	time	NOUN
aiti-11568	30	16	-	-	PUNCT
aiti-11568	30	17	consuming	consume	VERB
aiti-11568	30	18	and	and	CCONJ
aiti-11568	30	19	complicated	complicated	ADJ
aiti-11568	30	20	.	.	PUNCT
aiti-11568	31	1	farmers	farmer	NOUN
aiti-11568	31	2	often	often	ADV
aiti-11568	31	3	find	find	VERB
aiti-11568	31	4	it	it	PRON
aiti-11568	31	5	challenging	challenge	VERB
aiti-11568	31	6	to	to	PART
aiti-11568	31	7	contact	contact	VERB
aiti-11568	31	8	specialists	specialist	NOUN
aiti-11568	31	9	in	in	ADP
aiti-11568	31	10	remote	remote	ADJ
aiti-11568	31	11	areas	area	NOUN
aiti-11568	31	12	and	and	CCONJ
aiti-11568	31	13	take	take	VERB
aiti-11568	31	14	steps	step	NOUN
aiti-11568	31	15	to	to	PART
aiti-11568	31	16	prevent	prevent	VERB
aiti-11568	31	17	unusual	unusual	ADJ
aiti-11568	31	18	diseases	disease	NOUN
aiti-11568	31	19	.	.	PUNCT
aiti-11568	32	1	it	it	PRON
aiti-11568	32	2	is	be	AUX
aiti-11568	32	3	easier	easy	ADJ
aiti-11568	32	4	to	to	PART
aiti-11568	32	5	detect	detect	VERB
aiti-11568	32	6	with	with	ADP
aiti-11568	32	7	helpful	helpful	ADJ
aiti-11568	32	8	information	information	NOUN
aiti-11568	32	9	.	.	PUNCT
aiti-11568	33	1	that	that	PRON
aiti-11568	33	2	is	be	AUX
aiti-11568	33	3	why	why	SCONJ
aiti-11568	33	4	images	image	NOUN
aiti-11568	33	5	can	can	AUX
aiti-11568	33	6	be	be	AUX
aiti-11568	33	7	considered	consider	VERB
aiti-11568	33	8	self	self	NOUN
aiti-11568	33	9	-	-	PUNCT
aiti-11568	33	10	contained	contain	VERB
aiti-11568	33	11	information	information	NOUN
aiti-11568	33	12	helping	help	VERB
aiti-11568	33	13	the	the	DET
aiti-11568	33	14	system	system	NOUN
aiti-11568	33	15	detect	detect	NOUN
aiti-11568	33	16	diseases	disease	NOUN
aiti-11568	33	17	.	.	PUNCT
aiti-11568	34	1	visual	visual	ADJ
aiti-11568	34	2	studies	study	NOUN
aiti-11568	34	3	of	of	ADP
aiti-11568	34	4	plants	plant	NOUN
aiti-11568	34	5	without	without	ADP
aiti-11568	34	6	prior	prior	ADJ
aiti-11568	34	7	information	information	NOUN
aiti-11568	34	8	can	can	AUX
aiti-11568	34	9	lead	lead	VERB
aiti-11568	34	10	to	to	ADP
aiti-11568	34	11	inaccurate	inaccurate	ADJ
aiti-11568	34	12	disease	disease	NOUN
aiti-11568	34	13	diagnoses	diagnose	VERB
aiti-11568	34	14	.	.	PUNCT
aiti-11568	35	1	as	as	ADP
aiti-11568	35	2	a	a	DET
aiti-11568	35	3	result	result	NOUN
aiti-11568	35	4	,	,	PUNCT
aiti-11568	35	5	preventive	preventive	ADJ
aiti-11568	35	6	measures	measure	NOUN
aiti-11568	35	7	are	be	AUX
aiti-11568	35	8	used	use	VERB
aiti-11568	35	9	.	.	PUNCT
aiti-11568	36	1	using	use	VERB
aiti-11568	36	2	machines	machine	NOUN
aiti-11568	36	3	can	can	AUX
aiti-11568	36	4	help	help	VERB
aiti-11568	36	5	locate	locate	VERB
aiti-11568	36	6	damaged	damaged	ADJ
aiti-11568	36	7	tomato	tomato	NOUN
aiti-11568	36	8	plants	plant	NOUN
aiti-11568	36	9	,	,	PUNCT
aiti-11568	36	10	determine	determine	VERB
aiti-11568	36	11	what	what	PRON
aiti-11568	36	12	diseases	disease	NOUN
aiti-11568	36	13	affect	affect	VERB
aiti-11568	36	14	them	they	PRON
aiti-11568	36	15	,	,	PUNCT
aiti-11568	36	16	and	and	CCONJ
aiti-11568	36	17	use	use	VERB
aiti-11568	36	18	that	that	DET
aiti-11568	36	19	knowledge	knowledge	NOUN
aiti-11568	36	20	to	to	PART
aiti-11568	36	21	help	help	VERB
aiti-11568	36	22	the	the	DET
aiti-11568	36	23	rest	rest	NOUN
aiti-11568	36	24	of	of	ADP
aiti-11568	36	25	the	the	DET
aiti-11568	36	26	crop	crop	NOUN
aiti-11568	36	27	grow	grow	VERB
aiti-11568	36	28	more	more	ADV
aiti-11568	36	29	efficiently	efficiently	ADV
aiti-11568	36	30	and	and	CCONJ
aiti-11568	36	31	with	with	ADP
aiti-11568	36	32	less	less	ADJ
aiti-11568	36	33	loss	loss	NOUN
aiti-11568	36	34	.	.	PUNCT
aiti-11568	37	1	mobilenet	mobilenet	NOUN
aiti-11568	37	2	is	be	AUX
aiti-11568	37	3	one	one	NUM
aiti-11568	37	4	of	of	ADP
aiti-11568	37	5	the	the	DET
aiti-11568	37	6	great	great	ADJ
aiti-11568	37	7	models	model	NOUN
aiti-11568	37	8	the	the	DET
aiti-11568	37	9	authors	author	NOUN
aiti-11568	37	10	proposed	propose	VERB
aiti-11568	37	11	because	because	SCONJ
aiti-11568	37	12	of	of	ADP
aiti-11568	37	13	its	its	PRON
aiti-11568	37	14	low	low	ADJ
aiti-11568	37	15	-	-	PUNCT
aiti-11568	37	16	latency	latency	NOUN
aiti-11568	37	17	,	,	PUNCT
aiti-11568	37	18	lowpower	lowpower	NOUN
aiti-11568	37	19	models	model	NOUN
aiti-11568	37	20	that	that	PRON
aiti-11568	37	21	can	can	AUX
aiti-11568	37	22	be	be	AUX
aiti-11568	37	23	parameterized	parameterized	ADJ
aiti-11568	37	24	to	to	PART
aiti-11568	37	25	meet	meet	VERB
aiti-11568	37	26	the	the	DET
aiti-11568	37	27	resource	resource	NOUN
aiti-11568	37	28	constraints	constraint	NOUN
aiti-11568	37	29	of	of	ADP
aiti-11568	37	30	a	a	DET
aiti-11568	37	31	wide	wide	ADJ
aiti-11568	37	32	range	range	NOUN
aiti-11568	37	33	of	of	ADP
aiti-11568	37	34	use	use	NOUN
aiti-11568	37	35	cases	case	NOUN
aiti-11568	37	36	.	.	PUNCT
aiti-11568	38	1	it	it	PRON
aiti-11568	38	2	can	can	AUX
aiti-11568	38	3	be	be	AUX
aiti-11568	38	4	used	use	VERB
aiti-11568	38	5	to	to	PART
aiti-11568	38	6	build	build	VERB
aiti-11568	38	7	classification	classification	NOUN
aiti-11568	38	8	and	and	CCONJ
aiti-11568	38	9	detection	detection	NOUN
aiti-11568	38	10	systems	system	NOUN
aiti-11568	38	11	.	.	PUNCT
aiti-11568	39	1	this	this	DET
aiti-11568	39	2	study	study	NOUN
aiti-11568	39	3	examines	examine	VERB
aiti-11568	39	4	the	the	DET
aiti-11568	39	5	leading	lead	VERB
aiti-11568	39	6	convolutional	convolutional	ADJ
aiti-11568	39	7	neural	neural	ADJ
aiti-11568	39	8	network	network	NOUN
aiti-11568	39	9	(	(	PUNCT
aiti-11568	39	10	cnn	cnn	PROPN
aiti-11568	39	11	)	)	PUNCT
aiti-11568	39	12	mobilenet	mobilenet	NOUN
aiti-11568	39	13	architecture	architecture	NOUN
aiti-11568	39	14	.	.	PUNCT
aiti-11568	40	1	they	they	PRON
aiti-11568	40	2	applied	apply	VERB
aiti-11568	40	3	transfer	transfer	NOUN
aiti-11568	40	4	learning	learning	NOUN
aiti-11568	40	5	and	and	CCONJ
aiti-11568	40	6	refinement	refinement	NOUN
aiti-11568	40	7	to	to	ADP
aiti-11568	40	8	pre	pre	VERB
aiti-11568	40	9	-	-	ADJ
aiti-11568	40	10	trained	train	VERB
aiti-11568	40	11	data	datum	NOUN
aiti-11568	40	12	:	:	PUNCT
aiti-11568	40	13	tomato	tomato	NOUN
aiti-11568	40	14	leaves	leave	NOUN
aiti-11568	40	15	ranging	range	VERB
aiti-11568	40	16	from	from	ADP
aiti-11568	40	17	healthy	healthy	ADJ
aiti-11568	40	18	to	to	ADP
aiti-11568	40	19	diseases	disease	NOUN
aiti-11568	40	20	.	.	PUNCT
aiti-11568	41	1	the	the	DET
aiti-11568	41	2	goal	goal	NOUN
aiti-11568	41	3	is	be	AUX
aiti-11568	41	4	to	to	PART
aiti-11568	41	5	maximize	maximize	VERB
aiti-11568	41	6	model	model	NOUN
aiti-11568	41	7	accuracy	accuracy	NOUN
aiti-11568	41	8	and	and	CCONJ
aiti-11568	41	9	quickly	quickly	ADV
aiti-11568	41	10	set	set	VERB
aiti-11568	41	11	up	up	ADP
aiti-11568	41	12	“	"	PUNCT
aiti-11568	41	13	data	datum	NOUN
aiti-11568	41	14	augmentation	augmentation	NOUN
aiti-11568	41	15	”	"	PUNCT
aiti-11568	41	16	factors	factor	NOUN
aiti-11568	41	17	to	to	PART
aiti-11568	41	18	help	help	VERB
aiti-11568	41	19	in	in	ADP
aiti-11568	41	20	disease	disease	NOUN
aiti-11568	41	21	categorization	categorization	NOUN
aiti-11568	41	22	and	and	CCONJ
aiti-11568	41	23	detection	detection	NOUN
aiti-11568	41	24	on	on	ADP
aiti-11568	41	25	tomato	tomato	NOUN
aiti-11568	41	26	leaves	leave	NOUN
aiti-11568	41	27	.	.	PUNCT
aiti-11568	42	1	the	the	DET
aiti-11568	42	2	following	follow	VERB
aiti-11568	42	3	are	be	AUX
aiti-11568	42	4	the	the	DET
aiti-11568	42	5	key	key	ADJ
aiti-11568	42	6	contributions	contribution	NOUN
aiti-11568	42	7	:	:	PUNCT
aiti-11568	42	8	(	(	PUNCT
aiti-11568	42	9	1	1	X
aiti-11568	42	10	)	)	PUNCT
aiti-11568	42	11	this	this	DET
aiti-11568	42	12	study	study	NOUN
aiti-11568	42	13	devised	devise	VERB
aiti-11568	42	14	the	the	DET
aiti-11568	42	15	first	first	ADJ
aiti-11568	42	16	transfer	transfer	NOUN
aiti-11568	42	17	learning	learning	NOUN
aiti-11568	42	18	technique	technique	NOUN
aiti-11568	42	19	and	and	CCONJ
aiti-11568	42	20	development	development	NOUN
aiti-11568	42	21	stage	stage	NOUN
aiti-11568	42	22	to	to	PART
aiti-11568	42	23	detect	detect	VERB
aiti-11568	42	24	diseases	disease	NOUN
aiti-11568	42	25	in	in	ADP
aiti-11568	42	26	tomato	tomato	NOUN
aiti-11568	42	27	leaves	leave	NOUN
aiti-11568	42	28	.	.	PUNCT
aiti-11568	43	1	the	the	DET
aiti-11568	43	2	final	final	ADJ
aiti-11568	43	3	stage	stage	NOUN
aiti-11568	43	4	is	be	AUX
aiti-11568	43	5	to	to	ADP
aiti-11568	43	6	fine	fine	ADJ
aiti-11568	43	7	-	-	PUNCT
aiti-11568	43	8	tune	tune	NOUN
aiti-11568	43	9	the	the	DET
aiti-11568	43	10	parameters	parameter	NOUN
aiti-11568	43	11	accordingly	accordingly	ADV
aiti-11568	43	12	.	.	PUNCT
aiti-11568	44	1	(	(	PUNCT
aiti-11568	44	2	2	2	X
aiti-11568	44	3	)	)	PUNCT
aiti-11568	44	4	some	some	DET
aiti-11568	44	5	machine	machine	NOUN
aiti-11568	44	6	learning	learning	NOUN
aiti-11568	44	7	-	-	PUNCT
aiti-11568	44	8	based	base	VERB
aiti-11568	44	9	architectures	architecture	NOUN
aiti-11568	44	10	were	be	AUX
aiti-11568	44	11	leveraged	leverage	VERB
aiti-11568	44	12	during	during	ADP
aiti-11568	44	13	the	the	DET
aiti-11568	44	14	implementation	implementation	NOUN
aiti-11568	44	15	and	and	CCONJ
aiti-11568	44	16	compared	compare	VERB
aiti-11568	44	17	the	the	DET
aiti-11568	44	18	findings	finding	NOUN
aiti-11568	44	19	to	to	ADP
aiti-11568	44	20	the	the	DET
aiti-11568	44	21	cnn	cnn	PROPN
aiti-11568	44	22	models	model	NOUN
aiti-11568	44	23	.	.	PUNCT
aiti-11568	45	1	vgg16	vgg16	PROPN
aiti-11568	45	2	,	,	PUNCT
aiti-11568	45	3	vgg19	vgg19	PROPN
aiti-11568	45	4	,	,	PUNCT
aiti-11568	45	5	mobilenet	mobilenet	NOUN
aiti-11568	45	6	,	,	PUNCT
aiti-11568	45	7	densenet201	densenet201	PROPN
aiti-11568	45	8	,	,	PUNCT
aiti-11568	45	9	and	and	CCONJ
aiti-11568	45	10	xception	xception	NOUN
aiti-11568	45	11	are	be	AUX
aiti-11568	45	12	other	other	ADJ
aiti-11568	45	13	examples	example	NOUN
aiti-11568	45	14	.	.	PUNCT
aiti-11568	46	1	(	(	PUNCT
aiti-11568	46	2	3	3	X
aiti-11568	46	3	)	)	PUNCT
aiti-11568	46	4	three	three	NUM
aiti-11568	46	5	main	main	ADJ
aiti-11568	46	6	scenarios	scenario	NOUN
aiti-11568	46	7	were	be	AUX
aiti-11568	46	8	assessed	assess	VERB
aiti-11568	46	9	with	with	ADP
aiti-11568	46	10	various	various	ADJ
aiti-11568	46	11	metrics	metric	NOUN
aiti-11568	46	12	to	to	PART
aiti-11568	46	13	present	present	VERB
aiti-11568	46	14	the	the	DET
aiti-11568	46	15	predictions	prediction	NOUN
aiti-11568	46	16	for	for	ADP
aiti-11568	46	17	detecting	detect	VERB
aiti-11568	46	18	and	and	CCONJ
aiti-11568	46	19	distinguishing	distinguish	VERB
aiti-11568	46	20	foliar	foliar	ADJ
aiti-11568	46	21	diseases	disease	NOUN
aiti-11568	46	22	.	.	PUNCT
aiti-11568	47	1	first	first	ADV
aiti-11568	47	2	,	,	PUNCT
aiti-11568	47	3	they	they	PRON
aiti-11568	47	4	demonstrated	demonstrate	VERB
aiti-11568	47	5	empirically	empirically	ADV
aiti-11568	47	6	that	that	SCONJ
aiti-11568	47	7	the	the	DET
aiti-11568	47	8	author	author	NOUN
aiti-11568	47	9	’s	’s	PART
aiti-11568	47	10	suggested	suggest	VERB
aiti-11568	47	11	strategy	strategy	NOUN
aiti-11568	47	12	outperforms	outperform	NOUN
aiti-11568	47	13	alternative	alternative	ADJ
aiti-11568	47	14	cnn	cnn	PROPN
aiti-11568	47	15	and	and	CCONJ
aiti-11568	47	16	transformer	transformer	NOUN
aiti-11568	47	17	-	-	PUNCT
aiti-11568	47	18	based	base	VERB
aiti-11568	47	19	architectures	architecture	NOUN
aiti-11568	47	20	and	and	CCONJ
aiti-11568	47	21	earlier	early	ADJ
aiti-11568	47	22	illness	illness	NOUN
aiti-11568	47	23	detection	detection	NOUN
aiti-11568	47	24	and	and	CCONJ
aiti-11568	47	25	classification	classification	NOUN
aiti-11568	47	26	models	model	NOUN
aiti-11568	47	27	on	on	ADP
aiti-11568	47	28	tomato	tomato	NOUN
aiti-11568	47	29	leaves	leave	NOUN
aiti-11568	47	30	.	.	PUNCT
aiti-11568	48	1	(	(	PUNCT
aiti-11568	48	2	4	4	X
aiti-11568	48	3	)	)	PUNCT
aiti-11568	48	4	the	the	DET
aiti-11568	48	5	work	work	NOUN
aiti-11568	48	6	obtained	obtain	VERB
aiti-11568	48	7	promising	promise	VERB
aiti-11568	48	8	results	result	NOUN
aiti-11568	48	9	using	use	VERB
aiti-11568	48	10	the	the	DET
aiti-11568	48	11	multilayer	multilayer	ADJ
aiti-11568	48	12	classification	classification	NOUN
aiti-11568	48	13	of	of	ADP
aiti-11568	48	14	the	the	DET
aiti-11568	48	15	cnn	cnn	NOUN
aiti-11568	48	16	architecture	architecture	NOUN
aiti-11568	48	17	given	give	VERB
aiti-11568	48	18	above	above	ADV
aiti-11568	48	19	,	,	PUNCT
aiti-11568	48	20	and	and	CCONJ
aiti-11568	48	21	mobilenet	mobilenet	NOUN
aiti-11568	48	22	delivered	deliver	VERB
aiti-11568	48	23	the	the	DET
aiti-11568	48	24	best	good	ADJ
aiti-11568	48	25	results	result	NOUN
aiti-11568	48	26	.	.	PUNCT
aiti-11568	49	1	the	the	DET
aiti-11568	49	2	rest	rest	NOUN
aiti-11568	49	3	of	of	ADP
aiti-11568	49	4	the	the	DET
aiti-11568	49	5	article	article	NOUN
aiti-11568	49	6	is	be	AUX
aiti-11568	49	7	divided	divide	VERB
aiti-11568	49	8	into	into	ADP
aiti-11568	49	9	five	five	NUM
aiti-11568	49	10	following	follow	VERB
aiti-11568	49	11	sections	section	NOUN
aiti-11568	49	12	.	.	PUNCT
aiti-11568	50	1	section	section	NOUN
aiti-11568	50	2	1	1	NUM
aiti-11568	50	3	begins	begin	VERB
aiti-11568	50	4	with	with	ADP
aiti-11568	50	5	an	an	DET
aiti-11568	50	6	introduction	introduction	NOUN
aiti-11568	50	7	and	and	CCONJ
aiti-11568	50	8	explanation	explanation	NOUN
aiti-11568	50	9	of	of	ADP
aiti-11568	50	10	the	the	DET
aiti-11568	50	11	problem	problem	NOUN
aiti-11568	50	12	.	.	PUNCT
aiti-11568	51	1	section	section	NOUN
aiti-11568	51	2	2	2	NUM
aiti-11568	51	3	will	will	AUX
aiti-11568	51	4	then	then	ADV
aiti-11568	51	5	present	present	VERB
aiti-11568	51	6	similar	similar	ADJ
aiti-11568	51	7	works	work	NOUN
aiti-11568	51	8	.	.	PUNCT
aiti-11568	52	1	section	section	NOUN
aiti-11568	52	2	3	3	NUM
aiti-11568	52	3	will	will	AUX
aiti-11568	52	4	next	next	ADV
aiti-11568	52	5	demonstrate	demonstrate	VERB
aiti-11568	52	6	the	the	DET
aiti-11568	52	7	implementation	implementation	NOUN
aiti-11568	52	8	process	process	NOUN
aiti-11568	52	9	.	.	PUNCT
aiti-11568	53	1	the	the	DET
aiti-11568	53	2	outcomes	outcome	NOUN
aiti-11568	53	3	of	of	ADP
aiti-11568	53	4	the	the	DET
aiti-11568	53	5	experiments	experiment	NOUN
aiti-11568	53	6	are	be	AUX
aiti-11568	53	7	shown	show	VERB
aiti-11568	53	8	in	in	ADP
aiti-11568	53	9	section	section	NOUN
aiti-11568	53	10	4	4	NUM
aiti-11568	53	11	.	.	PUNCT
aiti-11568	54	1	finally	finally	ADV
aiti-11568	54	2	,	,	PUNCT
aiti-11568	54	3	section	section	NOUN
aiti-11568	54	4	5	5	NUM
aiti-11568	54	5	is	be	AUX
aiti-11568	54	6	followed	follow	VERB
aiti-11568	54	7	by	by	ADP
aiti-11568	54	8	the	the	DET
aiti-11568	54	9	conclusion	conclusion	NOUN
aiti-11568	54	10	.	.	PUNCT
aiti-11568	55	1	2	2	X
aiti-11568	55	2	.	.	X
aiti-11568	55	3	related	relate	VERB
aiti-11568	55	4	work	work	NOUN
aiti-11568	55	5	to	to	PART
aiti-11568	55	6	build	build	VERB
aiti-11568	55	7	automated	automate	VERB
aiti-11568	55	8	decontamination	decontamination	NOUN
aiti-11568	55	9	procedures	procedure	NOUN
aiti-11568	55	10	on	on	ADP
aiti-11568	55	11	plant	plant	NOUN
aiti-11568	55	12	detection	detection	NOUN
aiti-11568	55	13	systems	system	NOUN
aiti-11568	55	14	,	,	PUNCT
aiti-11568	55	15	some	some	DET
aiti-11568	55	16	researchers	researcher	NOUN
aiti-11568	55	17	have	have	AUX
aiti-11568	55	18	used	use	VERB
aiti-11568	55	19	advanced	advanced	ADJ
aiti-11568	55	20	technology	technology	NOUN
aiti-11568	55	21	such	such	ADJ
aiti-11568	55	22	as	as	ADP
aiti-11568	55	23	machine	machine	NOUN
aiti-11568	55	24	learning	learning	NOUN
aiti-11568	55	25	and	and	CCONJ
aiti-11568	55	26	neural	neural	ADJ
aiti-11568	55	27	network	network	NOUN
aiti-11568	55	28	design	design	NOUN
aiti-11568	55	29	including	include	VERB
aiti-11568	55	30	googlenet	googlenet	NOUN
aiti-11568	55	31	,	,	PUNCT
aiti-11568	55	32	alexnet	alexnet	NOUN
aiti-11568	55	33	,	,	PUNCT
aiti-11568	55	34	inceptionv3	inceptionv3	NOUN
aiti-11568	55	35	,	,	PUNCT
aiti-11568	55	36	vgg16	vgg16	NOUN
aiti-11568	55	37	,	,	PUNCT
aiti-11568	55	38	and	and	CCONJ
aiti-11568	55	39	squeezenet	squeezenet	NOUN
aiti-11568	55	40	,	,	PUNCT
aiti-11568	55	41	etc	etc	X
aiti-11568	55	42	.	.	X
aiti-11568	55	43	to	to	PART
aiti-11568	55	44	perform	perform	VERB
aiti-11568	55	45	research	research	NOUN
aiti-11568	55	46	and	and	CCONJ
aiti-11568	55	47	classification	classification	NOUN
aiti-11568	55	48	of	of	ADP
aiti-11568	55	49	crops	crop	NOUN
aiti-11568	55	50	based	base	VERB
aiti-11568	55	51	on	on	ADP
aiti-11568	55	52	machine	machine	NOUN
aiti-11568	55	53	learning	learning	NOUN
aiti-11568	55	54	.	.	PUNCT
aiti-11568	56	1	as	as	ADP
aiti-11568	56	2	a	a	DET
aiti-11568	56	3	result	result	NOUN
aiti-11568	56	4	,	,	PUNCT
aiti-11568	56	5	they	they	PRON
aiti-11568	56	6	use	use	VERB
aiti-11568	56	7	exact	exact	ADJ
aiti-11568	56	8	methods	method	NOUN
aiti-11568	56	9	to	to	PART
aiti-11568	56	10	detect	detect	VERB
aiti-11568	56	11	plant	plant	NOUN
aiti-11568	56	12	diseases	disease	NOUN
aiti-11568	56	13	in	in	ADP
aiti-11568	56	14	tomato	tomato	NOUN
aiti-11568	56	15	leaves	leave	NOUN
aiti-11568	56	16	.	.	PUNCT
aiti-11568	57	1	furthermore	furthermore	ADV
aiti-11568	57	2	,	,	PUNCT
aiti-11568	57	3	researchers	researcher	NOUN
aiti-11568	57	4	have	have	AUX
aiti-11568	57	5	developed	develop	VERB
aiti-11568	57	6	various	various	ADJ
aiti-11568	57	7	deep	deep	ADJ
aiti-11568	57	8	learning	learning	NOUN
aiti-11568	57	9	-	-	PUNCT
aiti-11568	57	10	based	base	VERB
aiti-11568	57	11	disease	disease	NOUN
aiti-11568	57	12	detection	detection	NOUN
aiti-11568	57	13	and	and	CCONJ
aiti-11568	57	14	classification	classification	NOUN
aiti-11568	57	15	methods	method	NOUN
aiti-11568	57	16	.	.	PUNCT
aiti-11568	58	1	bhagwat	bhagwat	NOUN
aiti-11568	58	2	and	and	CCONJ
aiti-11568	58	3	dandawate	dandawate	VERB
aiti-11568	58	4	[	[	X
aiti-11568	58	5	3	3	NUM
aiti-11568	58	6	]	]	PUNCT
aiti-11568	58	7	presented	present	VERB
aiti-11568	58	8	some	some	DET
aiti-11568	58	9	ways	way	NOUN
aiti-11568	58	10	to	to	PART
aiti-11568	58	11	detect	detect	VERB
aiti-11568	58	12	plant	plant	NOUN
aiti-11568	58	13	disease	disease	NOUN
aiti-11568	58	14	for	for	ADP
aiti-11568	58	15	machine	machine	NOUN
aiti-11568	58	16	learning	learning	NOUN
aiti-11568	58	17	.	.	PUNCT
aiti-11568	59	1	the	the	DET
aiti-11568	59	2	authors	author	NOUN
aiti-11568	59	3	provided	provide	VERB
aiti-11568	59	4	the	the	DET
aiti-11568	59	5	traditional	traditional	ADJ
aiti-11568	59	6	machine	machine	NOUN
aiti-11568	59	7	learning	learning	NOUN
aiti-11568	59	8	method	method	NOUN
aiti-11568	59	9	using	use	VERB
aiti-11568	59	10	various	various	ADJ
aiti-11568	59	11	evaluation	evaluation	NOUN
aiti-11568	59	12	metrics	metric	NOUN
aiti-11568	59	13	or	or	CCONJ
aiti-11568	59	14	the	the	DET
aiti-11568	59	15	new	new	ADJ
aiti-11568	59	16	machine	machine	NOUN
aiti-11568	59	17	learning	learn	VERB
aiti-11568	59	18	on	on	ADP
aiti-11568	59	19	rgb	rgb	PROPN
aiti-11568	59	20	images	image	NOUN
aiti-11568	59	21	,	,	PUNCT
aiti-11568	59	22	which	which	PRON
aiti-11568	59	23	best	well	ADV
aiti-11568	59	24	reported	report	VERB
aiti-11568	59	25	the	the	DET
aiti-11568	59	26	accuracy	accuracy	NOUN
aiti-11568	59	27	at	at	ADP
aiti-11568	59	28	91.5	91.5	NUM
aiti-11568	59	29	%	%	NOUN
aiti-11568	59	30	.	.	PUNCT
aiti-11568	60	1	fazari	fazari	PROPN
aiti-11568	60	2	et	et	PROPN
aiti-11568	60	3	al	al	PROPN
aiti-11568	60	4	.	.	PUNCT
aiti-11568	61	1	[	[	X
aiti-11568	61	2	4	4	X
aiti-11568	61	3	]	]	PUNCT
aiti-11568	61	4	proposed	propose	VERB
aiti-11568	61	5	a	a	DET
aiti-11568	61	6	method	method	NOUN
aiti-11568	61	7	to	to	PART
aiti-11568	61	8	detect	detect	VERB
aiti-11568	61	9	anthracnose	anthracnose	ADJ
aiti-11568	61	10	disease	disease	NOUN
aiti-11568	61	11	on	on	ADP
aiti-11568	61	12	olives	olive	NOUN
aiti-11568	61	13	using	use	VERB
aiti-11568	61	14	the	the	DET
aiti-11568	61	15	resnet101	resnet101	PROPN
aiti-11568	61	16	model	model	NOUN
aiti-11568	61	17	.	.	PUNCT
aiti-11568	62	1	the	the	DET
aiti-11568	62	2	proposed	propose	VERB
aiti-11568	62	3	method	method	NOUN
aiti-11568	62	4	was	be	AUX
aiti-11568	62	5	successfully	successfully	ADV
aiti-11568	62	6	tested	test	VERB
aiti-11568	62	7	,	,	PUNCT
aiti-11568	62	8	which	which	PRON
aiti-11568	62	9	resulted	result	VERB
aiti-11568	62	10	in	in	ADP
aiti-11568	62	11	an	an	DET
aiti-11568	62	12	accuracy	accuracy	NOUN
aiti-11568	62	13	of	of	ADP
aiti-11568	62	14	91.8	91.8	NUM
aiti-11568	62	15	%	%	NOUN
aiti-11568	62	16	.	.	PUNCT
aiti-11568	63	1	this	this	DET
aiti-11568	63	2	method	method	NOUN
aiti-11568	63	3	promises	promise	VERB
aiti-11568	63	4	to	to	PART
aiti-11568	63	5	be	be	AUX
aiti-11568	63	6	one	one	NUM
aiti-11568	63	7	of	of	ADP
aiti-11568	63	8	the	the	DET
aiti-11568	63	9	proposals	proposal	NOUN
aiti-11568	63	10	to	to	PART
aiti-11568	63	11	ensure	ensure	VERB
aiti-11568	63	12	the	the	DET
aiti-11568	63	13	quality	quality	NOUN
aiti-11568	63	14	of	of	ADP
aiti-11568	63	15	olives	olive	NOUN
aiti-11568	63	16	and	and	CCONJ
aiti-11568	63	17	olive	olive	ADJ
aiti-11568	63	18	oil	oil	NOUN
aiti-11568	63	19	is	be	AUX
aiti-11568	63	20	improved	improve	VERB
aiti-11568	63	21	and	and	CCONJ
aiti-11568	63	22	meets	meet	VERB
aiti-11568	63	23	the	the	DET
aiti-11568	63	24	required	require	VERB
aiti-11568	63	25	standards	standard	NOUN
aiti-11568	63	26	.	.	PUNCT
aiti-11568	64	1	about	about	ADP
aiti-11568	64	2	the	the	DET
aiti-11568	64	3	dataset	dataset	NOUN
aiti-11568	64	4	,	,	PUNCT
aiti-11568	64	5	images	image	NOUN
aiti-11568	64	6	were	be	AUX
aiti-11568	64	7	shot	shoot	VERB
aiti-11568	64	8	on	on	ADP
aiti-11568	64	9	several	several	ADJ
aiti-11568	64	10	days	day	NOUN
aiti-11568	64	11	and	and	CCONJ
aiti-11568	64	12	with	with	ADP
aiti-11568	64	13	different	different	ADJ
aiti-11568	64	14	lighting	lighting	NOUN
aiti-11568	64	15	to	to	PART
aiti-11568	64	16	create	create	VERB
aiti-11568	64	17	a	a	DET
aiti-11568	64	18	dataset	dataset	NOUN
aiti-11568	64	19	with	with	ADP
aiti-11568	64	20	distinct	distinct	ADJ
aiti-11568	64	21	phases	phase	NOUN
aiti-11568	64	22	of	of	ADP
aiti-11568	64	23	error	error	NOUN
aiti-11568	64	24	growth	growth	NOUN
aiti-11568	64	25	,	,	PUNCT
aiti-11568	64	26	the	the	DET
aiti-11568	64	27	data	datum	NOUN
aiti-11568	64	28	set	set	VERB
aiti-11568	64	29	must	must	AUX
aiti-11568	64	30	satisfy	satisfy	VERB
aiti-11568	64	31	the	the	DET
aiti-11568	64	32	condition	condition	NOUN
aiti-11568	64	33	that	that	SCONJ
aiti-11568	64	34	there	there	PRON
aiti-11568	64	35	must	must	AUX
aiti-11568	64	36	be	be	AUX
aiti-11568	64	37	enough	enough	ADJ
aiti-11568	64	38	light	light	NOUN
aiti-11568	64	39	,	,	PUNCT
aiti-11568	64	40	and	and	CCONJ
aiti-11568	64	41	the	the	DET
aiti-11568	64	42	leaves	leave	NOUN
aiti-11568	64	43	must	must	AUX
aiti-11568	64	44	see	see	VERB
aiti-11568	64	45	the	the	DET
aiti-11568	64	46	characteristic	characteristic	ADJ
aiti-11568	64	47	manifestations	manifestation	NOUN
aiti-11568	64	48	of	of	ADP
aiti-11568	64	49	that	that	DET
aiti-11568	64	50	disease	disease	NOUN
aiti-11568	64	51	and	and	CCONJ
aiti-11568	64	52	the	the	DET
aiti-11568	64	53	image	image	NOUN
aiti-11568	64	54	must	must	AUX
aiti-11568	64	55	not	not	PART
aiti-11568	64	56	be	be	AUX
aiti-11568	64	57	blurred	blur	VERB
aiti-11568	64	58	.	.	PUNCT
aiti-11568	65	1	on	on	ADP
aiti-11568	65	2	the	the	DET
aiti-11568	65	3	ground	ground	NOUN
aiti-11568	65	4	,	,	PUNCT
aiti-11568	65	5	each	each	DET
aiti-11568	65	6	image	image	NOUN
aiti-11568	65	7	includes	include	VERB
aiti-11568	65	8	a	a	DET
aiti-11568	65	9	particular	particular	ADJ
aiti-11568	65	10	leaf	leaf	NOUN
aiti-11568	65	11	object	object	NOUN
aiti-11568	65	12	.	.	PUNCT
aiti-11568	66	1	advances	advance	NOUN
aiti-11568	66	2	in	in	ADP
aiti-11568	66	3	technology	technology	NOUN
aiti-11568	66	4	innovation	innovation	NOUN
aiti-11568	66	5	,	,	PUNCT
aiti-11568	66	6	vol	vol	NOUN
aiti-11568	66	7	.	.	PROPN
aiti-11568	66	8	8	8	NUM
aiti-11568	66	9	,	,	PUNCT
aiti-11568	66	10	no	no	INTJ
aiti-11568	66	11	.	.	NOUN
aiti-11568	66	12	3	3	NUM
aiti-11568	66	13	,	,	PUNCT
aiti-11568	66	14	2023	2023	NUM
aiti-11568	66	15	,	,	PUNCT
aiti-11568	66	16	pp	pp	ADJ
aiti-11568	66	17	.	.	PUNCT
aiti-11568	67	1	192	192	NUM
aiti-11568	67	2	-	-	SYM
aiti-11568	67	3	209	209	NUM
aiti-11568	67	4	194	194	NUM
aiti-11568	67	5	lu	lu	NOUN
aiti-11568	67	6	et	et	PROPN
aiti-11568	67	7	al	al	PROPN
aiti-11568	67	8	.	.	PUNCT
aiti-11568	68	1	[	[	X
aiti-11568	68	2	5	5	NUM
aiti-11568	68	3	]	]	PUNCT
aiti-11568	68	4	introduced	introduce	VERB
aiti-11568	68	5	and	and	CCONJ
aiti-11568	68	6	clarified	clarify	VERB
aiti-11568	68	7	the	the	DET
aiti-11568	68	8	use	use	NOUN
aiti-11568	68	9	of	of	ADP
aiti-11568	68	10	the	the	DET
aiti-11568	68	11	deep	deep	ADJ
aiti-11568	68	12	learning	learning	NOUN
aiti-11568	68	13	(	(	PUNCT
aiti-11568	68	14	dl	dl	NOUN
aiti-11568	68	15	)	)	PUNCT
aiti-11568	68	16	method	method	NOUN
aiti-11568	68	17	and	and	CCONJ
aiti-11568	68	18	suggested	suggest	VERB
aiti-11568	68	19	that	that	SCONJ
aiti-11568	68	20	the	the	DET
aiti-11568	68	21	image	image	NOUN
aiti-11568	68	22	set	set	VERB
aiti-11568	68	23	needs	need	VERB
aiti-11568	68	24	to	to	PART
aiti-11568	68	25	go	go	VERB
aiti-11568	68	26	through	through	ADP
aiti-11568	68	27	the	the	DET
aiti-11568	68	28	preprocessing	preprocessing	NOUN
aiti-11568	68	29	stage	stage	NOUN
aiti-11568	68	30	(	(	PUNCT
aiti-11568	68	31	increasing	increase	VERB
aiti-11568	68	32	contrast	contrast	NOUN
aiti-11568	68	33	,	,	PUNCT
aiti-11568	68	34	slightly	slightly	ADV
aiti-11568	68	35	blurring	blur	VERB
aiti-11568	68	36	,	,	PUNCT
aiti-11568	68	37	reducing	reduce	VERB
aiti-11568	68	38	brightness	brightness	NOUN
aiti-11568	68	39	,	,	PUNCT
aiti-11568	68	40	etc	etc	X
aiti-11568	68	41	.	.	X
aiti-11568	68	42	)	)	PUNCT
aiti-11568	68	43	for	for	ADP
aiti-11568	68	44	picture	picture	NOUN
aiti-11568	68	45	categorization	categorization	NOUN
aiti-11568	68	46	,	,	PUNCT
aiti-11568	68	47	the	the	DET
aiti-11568	68	48	majority	majority	NOUN
aiti-11568	68	49	of	of	ADP
aiti-11568	68	50	these	these	DET
aiti-11568	68	51	approaches	approach	NOUN
aiti-11568	68	52	employ	employ	VERB
aiti-11568	68	53	ordinary	ordinary	ADJ
aiti-11568	68	54	neural	neural	ADJ
aiti-11568	68	55	networks	network	NOUN
aiti-11568	68	56	.	.	PUNCT
aiti-11568	69	1	for	for	ADP
aiti-11568	69	2	example	example	NOUN
aiti-11568	69	3	,	,	PUNCT
aiti-11568	69	4	using	use	VERB
aiti-11568	69	5	the	the	DET
aiti-11568	69	6	plantvillage	plantvillage	NOUN
aiti-11568	69	7	dataset	dataset	NOUN
aiti-11568	69	8	,	,	PUNCT
aiti-11568	69	9	brahimi	brahimi	PROPN
aiti-11568	69	10	et	et	PROPN
aiti-11568	69	11	al	al	PROPN
aiti-11568	69	12	.	.	PUNCT
aiti-11568	70	1	[	[	X
aiti-11568	70	2	6	6	NUM
aiti-11568	70	3	]	]	PUNCT
aiti-11568	70	4	employed	employ	VERB
aiti-11568	70	5	googlenet	googlenet	NOUN
aiti-11568	70	6	and	and	CCONJ
aiti-11568	70	7	alexnet	alexnet	NOUN
aiti-11568	70	8	to	to	PART
aiti-11568	70	9	pinpoint	pinpoint	VERB
aiti-11568	70	10	disease	disease	NOUN
aiti-11568	70	11	zones	zone	NOUN
aiti-11568	70	12	in	in	ADP
aiti-11568	70	13	the	the	DET
aiti-11568	70	14	tomato	tomato	NOUN
aiti-11568	70	15	plant	plant	NOUN
aiti-11568	70	16	.	.	PUNCT
aiti-11568	71	1	as	as	ADP
aiti-11568	71	2	a	a	DET
aiti-11568	71	3	result	result	NOUN
aiti-11568	71	4	,	,	PUNCT
aiti-11568	71	5	they	they	PRON
aiti-11568	71	6	classified	classify	VERB
aiti-11568	71	7	nine	nine	NUM
aiti-11568	71	8	illnesses	illness	NOUN
aiti-11568	71	9	with	with	ADP
aiti-11568	71	10	99.18	99.18	NUM
aiti-11568	71	11	%	%	NOUN
aiti-11568	71	12	accuracy	accuracy	NOUN
aiti-11568	71	13	.	.	PUNCT
aiti-11568	72	1	however	however	ADV
aiti-11568	72	2	,	,	PUNCT
aiti-11568	72	3	because	because	SCONJ
aiti-11568	72	4	their	their	PRON
aiti-11568	72	5	model	model	NOUN
aiti-11568	72	6	was	be	AUX
aiti-11568	72	7	one	one	NUM
aiti-11568	72	8	of	of	ADP
aiti-11568	72	9	the	the	DET
aiti-11568	72	10	first	first	ADJ
aiti-11568	72	11	proposed	propose	VERB
aiti-11568	72	12	,	,	PUNCT
aiti-11568	72	13	it	it	PRON
aiti-11568	72	14	is	be	AUX
aiti-11568	72	15	gradually	gradually	ADV
aiti-11568	72	16	becoming	become	VERB
aiti-11568	72	17	obsolete	obsolete	ADJ
aiti-11568	72	18	due	due	ADJ
aiti-11568	72	19	to	to	ADP
aiti-11568	72	20	processing	process	VERB
aiti-11568	72	21	speed	speed	NOUN
aiti-11568	72	22	and	and	CCONJ
aiti-11568	72	23	model	model	NOUN
aiti-11568	72	24	size	size	NOUN
aiti-11568	72	25	,	,	PUNCT
aiti-11568	72	26	resulting	result	VERB
aiti-11568	72	27	in	in	ADP
aiti-11568	72	28	a	a	DET
aiti-11568	72	29	limitation	limitation	NOUN
aiti-11568	72	30	that	that	PRON
aiti-11568	72	31	the	the	DET
aiti-11568	72	32	research	research	NOUN
aiti-11568	72	33	team	team	NOUN
aiti-11568	72	34	mentioned	mention	VERB
aiti-11568	72	35	that	that	SCONJ
aiti-11568	72	36	the	the	DET
aiti-11568	72	37	model	model	NOUN
aiti-11568	72	38	could	could	AUX
aiti-11568	72	39	not	not	PART
aiti-11568	72	40	be	be	AUX
aiti-11568	72	41	applied	apply	VERB
aiti-11568	72	42	on	on	ADP
aiti-11568	72	43	mobile	mobile	ADJ
aiti-11568	72	44	devices	device	NOUN
aiti-11568	72	45	.	.	PUNCT
aiti-11568	73	1	alruwaili	alruwaili	NOUN
aiti-11568	73	2	et	et	PROPN
aiti-11568	73	3	al	al	PROPN
aiti-11568	73	4	.	.	PUNCT
aiti-11568	74	1	[	[	X
aiti-11568	74	2	7	7	X
aiti-11568	74	3	]	]	PUNCT
aiti-11568	74	4	proposed	propose	VERB
aiti-11568	74	5	a	a	DET
aiti-11568	74	6	new	new	ADJ
aiti-11568	74	7	method	method	NOUN
aiti-11568	74	8	,	,	PUNCT
aiti-11568	74	9	known	know	VERB
aiti-11568	74	10	as	as	ADP
aiti-11568	74	11	the	the	DET
aiti-11568	74	12	real	real	ADJ
aiti-11568	74	13	-	-	PUNCT
aiti-11568	74	14	time	time	NOUN
aiti-11568	74	15	faster	fast	ADJ
aiti-11568	74	16	region	region	NOUN
aiti-11568	74	17	convolutional	convolutional	ADJ
aiti-11568	74	18	neural	neural	ADJ
aiti-11568	74	19	network	network	NOUN
aiti-11568	74	20	(	(	PUNCT
aiti-11568	74	21	rtfrcnn	rtfrcnn	NOUN
aiti-11568	74	22	)	)	PUNCT
aiti-11568	74	23	model	model	NOUN
aiti-11568	74	24	,	,	PUNCT
aiti-11568	74	25	for	for	ADP
aiti-11568	74	26	trained	train	VERB
aiti-11568	74	27	&	&	CCONJ
aiti-11568	74	28	tested	test	VERB
aiti-11568	74	29	with	with	ADP
aiti-11568	74	30	other	other	ADJ
aiti-11568	74	31	models	model	NOUN
aiti-11568	74	32	using	use	VERB
aiti-11568	74	33	each	each	DET
aiti-11568	74	34	different	different	ADJ
aiti-11568	74	35	parameters	parameter	NOUN
aiti-11568	74	36	such	such	ADJ
aiti-11568	74	37	as	as	ADP
aiti-11568	74	38	precision	precision	NOUN
aiti-11568	74	39	,	,	PUNCT
aiti-11568	74	40	accuracy	accuracy	NOUN
aiti-11568	74	41	,	,	PUNCT
aiti-11568	74	42	and	and	CCONJ
aiti-11568	74	43	recall	recall	NOUN
aiti-11568	74	44	.	.	PUNCT
aiti-11568	75	1	the	the	DET
aiti-11568	75	2	final	final	ADJ
aiti-11568	75	3	result	result	NOUN
aiti-11568	75	4	was	be	AUX
aiti-11568	75	5	97.42	97.42	NUM
aiti-11568	75	6	%	%	NOUN
aiti-11568	75	7	accuracy	accuracy	NOUN
aiti-11568	75	8	.	.	PUNCT
aiti-11568	76	1	with	with	ADP
aiti-11568	76	2	new	new	ADJ
aiti-11568	76	3	technology	technology	NOUN
aiti-11568	76	4	and	and	CCONJ
aiti-11568	76	5	support	support	NOUN
aiti-11568	76	6	for	for	ADP
aiti-11568	76	7	real	real	ADJ
aiti-11568	76	8	-	-	PUNCT
aiti-11568	76	9	time	time	NOUN
aiti-11568	76	10	disease	disease	NOUN
aiti-11568	76	11	detection	detection	NOUN
aiti-11568	76	12	,	,	PUNCT
aiti-11568	76	13	the	the	DET
aiti-11568	76	14	proposed	propose	VERB
aiti-11568	76	15	model	model	NOUN
aiti-11568	76	16	outperforms	outperform	VERB
aiti-11568	76	17	other	other	ADJ
aiti-11568	76	18	models	model	NOUN
aiti-11568	76	19	and	and	CCONJ
aiti-11568	76	20	holds	hold	VERB
aiti-11568	76	21	great	great	ADJ
aiti-11568	76	22	promise	promise	NOUN
aiti-11568	76	23	for	for	ADP
aiti-11568	76	24	the	the	DET
aiti-11568	76	25	future	future	NOUN
aiti-11568	76	26	.	.	PUNCT
aiti-11568	77	1	however	however	ADV
aiti-11568	77	2	,	,	PUNCT
aiti-11568	77	3	learning	learn	VERB
aiti-11568	77	4	and	and	CCONJ
aiti-11568	77	5	acclimating	acclimate	VERB
aiti-11568	77	6	to	to	ADP
aiti-11568	77	7	it	it	PRON
aiti-11568	77	8	can	can	AUX
aiti-11568	77	9	be	be	AUX
aiti-11568	77	10	challenging	challenge	VERB
aiti-11568	77	11	.	.	PUNCT
aiti-11568	78	1	durmus	durmus	PROPN
aiti-11568	78	2	et	et	PROPN
aiti-11568	78	3	al	al	PROPN
aiti-11568	78	4	.	.	PUNCT
aiti-11568	79	1	[	[	X
aiti-11568	79	2	8	8	NUM
aiti-11568	79	3	]	]	PUNCT
aiti-11568	79	4	employed	employ	VERB
aiti-11568	79	5	and	and	CCONJ
aiti-11568	79	6	compared	compare	VERB
aiti-11568	79	7	alexnet	alexnet	NOUN
aiti-11568	79	8	and	and	CCONJ
aiti-11568	79	9	squeezenet	squeezenet	NOUN
aiti-11568	79	10	to	to	PART
aiti-11568	79	11	classify	classify	VERB
aiti-11568	79	12	diseases	disease	NOUN
aiti-11568	79	13	in	in	ADP
aiti-11568	79	14	real	real	ADJ
aiti-11568	79	15	-	-	PUNCT
aiti-11568	79	16	time	time	NOUN
aiti-11568	79	17	.	.	PUNCT
aiti-11568	80	1	using	use	VERB
aiti-11568	80	2	the	the	DET
aiti-11568	80	3	plantvillage	plantvillage	NOUN
aiti-11568	80	4	dataset	dataset	NOUN
aiti-11568	80	5	,	,	PUNCT
aiti-11568	80	6	the	the	DET
aiti-11568	80	7	authors	author	NOUN
aiti-11568	80	8	categorized	categorize	VERB
aiti-11568	80	9	ten	ten	NUM
aiti-11568	80	10	illnesses	illness	NOUN
aiti-11568	80	11	and	and	CCONJ
aiti-11568	80	12	a	a	DET
aiti-11568	80	13	healthy	healthy	ADJ
aiti-11568	80	14	leaf	leaf	NOUN
aiti-11568	80	15	with	with	ADP
aiti-11568	80	16	95.65	95.65	NUM
aiti-11568	80	17	%	%	NOUN
aiti-11568	80	18	accuracy	accuracy	NOUN
aiti-11568	80	19	for	for	ADP
aiti-11568	80	20	alexnet	alexnet	NOUN
aiti-11568	80	21	and	and	CCONJ
aiti-11568	80	22	94.3	94.3	NUM
aiti-11568	80	23	%	%	NOUN
aiti-11568	80	24	for	for	ADP
aiti-11568	80	25	squeezenet	squeezenet	NOUN
aiti-11568	80	26	.	.	PUNCT
aiti-11568	81	1	the	the	DET
aiti-11568	81	2	squeezenet	squeezenet	NOUN
aiti-11568	81	3	model	model	NOUN
aiti-11568	81	4	has	have	AUX
aiti-11568	81	5	shown	show	VERB
aiti-11568	81	6	its	its	PRON
aiti-11568	81	7	strengths	strength	NOUN
aiti-11568	81	8	due	due	ADP
aiti-11568	81	9	to	to	ADP
aiti-11568	81	10	the	the	DET
aiti-11568	81	11	alexnet	alexnet	ADJ
aiti-11568	81	12	model	model	NOUN
aiti-11568	81	13	in	in	ADP
aiti-11568	81	14	approximate	approximate	ADJ
aiti-11568	81	15	prediction	prediction	NOUN
aiti-11568	81	16	results	result	NOUN
aiti-11568	81	17	.	.	PUNCT
aiti-11568	82	1	however	however	ADV
aiti-11568	82	2	,	,	PUNCT
aiti-11568	82	3	it	it	PRON
aiti-11568	82	4	is	be	AUX
aiti-11568	82	5	very	very	ADV
aiti-11568	82	6	light	light	ADJ
aiti-11568	82	7	and	and	CCONJ
aiti-11568	82	8	convenient	convenient	ADJ
aiti-11568	82	9	,	,	PUNCT
aiti-11568	82	10	promising	promising	ADJ
aiti-11568	82	11	applications	application	NOUN
aiti-11568	82	12	with	with	ADP
aiti-11568	82	13	mobile	mobile	ADJ
aiti-11568	82	14	electronic	electronic	ADJ
aiti-11568	82	15	devices	device	NOUN
aiti-11568	82	16	.	.	PUNCT
aiti-11568	83	1	saeed	saeed	PROPN
aiti-11568	83	2	et	et	PROPN
aiti-11568	83	3	al	al	PROPN
aiti-11568	83	4	.	.	PUNCT
aiti-11568	84	1	[	[	X
aiti-11568	84	2	9	9	NUM
aiti-11568	84	3	]	]	PUNCT
aiti-11568	84	4	and	and	CCONJ
aiti-11568	84	5	adhikari	adhikari	PROPN
aiti-11568	84	6	et	et	PROPN
aiti-11568	84	7	al	al	PROPN
aiti-11568	84	8	.	.	PUNCT
aiti-11568	85	1	[	[	X
aiti-11568	85	2	10	10	NUM
aiti-11568	85	3	]	]	PUNCT
aiti-11568	85	4	presented	present	VERB
aiti-11568	85	5	a	a	DET
aiti-11568	85	6	pre	pre	ADJ
aiti-11568	85	7	-	-	ADJ
aiti-11568	85	8	trained	train	VERB
aiti-11568	85	9	network	network	NOUN
aiti-11568	85	10	model	model	NOUN
aiti-11568	85	11	for	for	ADP
aiti-11568	85	12	detecting	detect	VERB
aiti-11568	85	13	and	and	CCONJ
aiti-11568	85	14	categorizing	categorize	VERB
aiti-11568	85	15	tomato	tomato	NOUN
aiti-11568	85	16	illness	illness	NOUN
aiti-11568	85	17	has	have	AUX
aiti-11568	85	18	been	be	AUX
aiti-11568	85	19	presented	present	VERB
aiti-11568	85	20	.	.	PUNCT
aiti-11568	86	1	the	the	DET
aiti-11568	86	2	authors	author	NOUN
aiti-11568	86	3	used	use	VERB
aiti-11568	86	4	resnetv2	resnetv2	NOUN
aiti-11568	86	5	model	model	NOUN
aiti-11568	86	6	and	and	CCONJ
aiti-11568	86	7	increased	increase	VERB
aiti-11568	86	8	the	the	DET
aiti-11568	86	9	dropout	dropout	NOUN
aiti-11568	86	10	coefficient	coefficient	NOUN
aiti-11568	86	11	from	from	ADP
aiti-11568	86	12	5	5	NUM
aiti-11568	86	13	%	%	NOUN
aiti-11568	86	14	to	to	PART
aiti-11568	86	15	10	10	NUM
aiti-11568	86	16	%	%	NOUN
aiti-11568	86	17	to	to	PART
aiti-11568	86	18	50	50	NUM
aiti-11568	86	19	%	%	NOUN
aiti-11568	86	20	.	.	PUNCT
aiti-11568	87	1	each	each	DET
aiti-11568	87	2	batch	batch	NOUN
aiti-11568	87	3	of	of	ADP
aiti-11568	87	4	changes	change	NOUN
aiti-11568	87	5	demonstrates	demonstrate	VERB
aiti-11568	87	6	that	that	SCONJ
aiti-11568	87	7	these	these	DET
aiti-11568	87	8	parameters	parameter	NOUN
aiti-11568	87	9	contributed	contribute	VERB
aiti-11568	87	10	to	to	ADP
aiti-11568	87	11	better	well	ADJ
aiti-11568	87	12	model	model	NOUN
aiti-11568	87	13	training	training	NOUN
aiti-11568	87	14	and	and	CCONJ
aiti-11568	87	15	fewer	few	ADJ
aiti-11568	87	16	errors	error	NOUN
aiti-11568	87	17	.	.	PUNCT
aiti-11568	88	1	zhang	zhang	PROPN
aiti-11568	88	2	et	et	PROPN
aiti-11568	88	3	al	al	PROPN
aiti-11568	88	4	.	.	PUNCT
aiti-11568	89	1	[	[	X
aiti-11568	89	2	11	11	NUM
aiti-11568	89	3	]	]	PUNCT
aiti-11568	89	4	discussed	discuss	VERB
aiti-11568	89	5	using	use	VERB
aiti-11568	89	6	a	a	DET
aiti-11568	89	7	dl	dl	PROPN
aiti-11568	89	8	cnn	cnn	PROPN
aiti-11568	89	9	to	to	PART
aiti-11568	89	10	identify	identify	VERB
aiti-11568	89	11	tomato	tomato	NOUN
aiti-11568	89	12	leaf	leaf	NOUN
aiti-11568	89	13	disease	disease	NOUN
aiti-11568	89	14	.	.	PUNCT
aiti-11568	90	1	with	with	ADP
aiti-11568	90	2	an	an	DET
aiti-11568	90	3	accuracy	accuracy	NOUN
aiti-11568	90	4	of	of	ADP
aiti-11568	90	5	97.19	97.19	NUM
aiti-11568	90	6	%	%	NOUN
aiti-11568	90	7	,	,	PUNCT
aiti-11568	90	8	the	the	DET
aiti-11568	90	9	paper	paper	NOUN
aiti-11568	90	10	used	use	VERB
aiti-11568	90	11	many	many	ADJ
aiti-11568	90	12	pre	pre	ADJ
aiti-11568	90	13	-	-	ADJ
aiti-11568	90	14	trained	train	VERB
aiti-11568	90	15	networks	network	NOUN
aiti-11568	90	16	such	such	ADJ
aiti-11568	90	17	as	as	ADP
aiti-11568	90	18	alexnet	alexnet	ADJ
aiti-11568	90	19	,	,	PUNCT
aiti-11568	90	20	googlenet	googlenet	NOUN
aiti-11568	90	21	,	,	PUNCT
aiti-11568	90	22	and	and	CCONJ
aiti-11568	90	23	resnet	resnet	NOUN
aiti-11568	90	24	.	.	PUNCT
aiti-11568	91	1	ishak	ishak	PROPN
aiti-11568	91	2	et	et	PROPN
aiti-11568	91	3	al	al	PROPN
aiti-11568	91	4	.	.	PUNCT
aiti-11568	92	1	[	[	X
aiti-11568	92	2	12	12	NUM
aiti-11568	92	3	]	]	PUNCT
aiti-11568	92	4	discussed	discuss	VERB
aiti-11568	92	5	a	a	DET
aiti-11568	92	6	method	method	NOUN
aiti-11568	92	7	for	for	ADP
aiti-11568	92	8	analyzing	analyze	VERB
aiti-11568	92	9	plant	plant	NOUN
aiti-11568	92	10	leaf	leaf	NOUN
aiti-11568	92	11	quality	quality	NOUN
aiti-11568	92	12	,	,	PUNCT
aiti-11568	92	13	beginning	begin	VERB
aiti-11568	92	14	with	with	ADP
aiti-11568	92	15	image	image	NOUN
aiti-11568	92	16	acquisition	acquisition	NOUN
aiti-11568	92	17	,	,	PUNCT
aiti-11568	92	18	image	image	NOUN
aiti-11568	92	19	processing	processing	NOUN
aiti-11568	92	20	,	,	PUNCT
aiti-11568	92	21	and	and	CCONJ
aiti-11568	92	22	classification	classification	NOUN
aiti-11568	92	23	.	.	PUNCT
aiti-11568	93	1	the	the	DET
aiti-11568	93	2	images	image	NOUN
aiti-11568	93	3	were	be	AUX
aiti-11568	93	4	collected	collect	VERB
aiti-11568	93	5	using	use	VERB
aiti-11568	93	6	an	an	DET
aiti-11568	93	7	8	8	NUM
aiti-11568	93	8	-	-	PUNCT
aiti-11568	93	9	megapixel	megapixel	ADJ
aiti-11568	93	10	intelligent	intelligent	ADJ
aiti-11568	93	11	phone	phone	NOUN
aiti-11568	93	12	era	era	NOUN
aiti-11568	93	13	,	,	PUNCT
aiti-11568	93	14	and	and	CCONJ
aiti-11568	93	15	the	the	DET
aiti-11568	93	16	samples	sample	NOUN
aiti-11568	93	17	were	be	AUX
aiti-11568	93	18	divided	divide	VERB
aiti-11568	93	19	into	into	ADP
aiti-11568	93	20	fifty	fifty	NUM
aiti-11568	93	21	for	for	ADP
aiti-11568	93	22	healthy	healthy	ADJ
aiti-11568	93	23	and	and	CCONJ
aiti-11568	93	24	fifty	fifty	NUM
aiti-11568	93	25	for	for	ADP
aiti-11568	93	26	unhealthy	unhealthy	ADJ
aiti-11568	93	27	.	.	PUNCT
aiti-11568	94	1	the	the	DET
aiti-11568	94	2	image	image	NOUN
aiti-11568	94	3	processing	processing	NOUN
aiti-11568	94	4	method	method	NOUN
aiti-11568	94	5	is	be	AUX
aiti-11568	94	6	divided	divide	VERB
aiti-11568	94	7	into	into	ADP
aiti-11568	94	8	three	three	NUM
aiti-11568	94	9	steps	step	NOUN
aiti-11568	94	10	:	:	PUNCT
aiti-11568	94	11	contrast	contrast	NOUN
aiti-11568	94	12	enhancement	enhancement	NOUN
aiti-11568	94	13	,	,	PUNCT
aiti-11568	94	14	segmentation	segmentation	NOUN
aiti-11568	94	15	,	,	PUNCT
aiti-11568	94	16	and	and	CCONJ
aiti-11568	94	17	feature	feature	NOUN
aiti-11568	94	18	extraction	extraction	NOUN
aiti-11568	94	19	.	.	PUNCT
aiti-11568	95	1	the	the	DET
aiti-11568	95	2	classification	classification	NOUN
aiti-11568	95	3	method	method	NOUN
aiti-11568	95	4	was	be	AUX
aiti-11568	95	5	performed	perform	VERB
aiti-11568	95	6	using	use	VERB
aiti-11568	95	7	an	an	DET
aiti-11568	95	8	artificial	artificial	ADJ
aiti-11568	95	9	neural	neural	ADJ
aiti-11568	95	10	network	network	NOUN
aiti-11568	95	11	,	,	PUNCT
aiti-11568	95	12	which	which	PRON
aiti-11568	95	13	employs	employ	VERB
aiti-11568	95	14	a	a	DET
aiti-11568	95	15	multi	multi	ADJ
aiti-11568	95	16	-	-	ADJ
aiti-11568	95	17	layer	layer	ADJ
aiti-11568	95	18	feed	feed	NOUN
aiti-11568	95	19	-	-	PUNCT
aiti-11568	95	20	forward	forward	ADV
aiti-11568	95	21	neural	neural	ADJ
aiti-11568	95	22	network	network	NOUN
aiti-11568	95	23	,	,	PUNCT
aiti-11568	95	24	followed	follow	VERB
aiti-11568	95	25	by	by	ADP
aiti-11568	95	26	a	a	DET
aiti-11568	95	27	comparison	comparison	NOUN
aiti-11568	95	28	of	of	ADP
aiti-11568	95	29	two	two	NUM
aiti-11568	95	30	network	network	NOUN
aiti-11568	95	31	structures	structure	NOUN
aiti-11568	95	32	,	,	PUNCT
aiti-11568	95	33	multilayer	multilayer	ADJ
aiti-11568	95	34	perceptron	perceptron	PROPN
aiti-11568	95	35	(	(	PUNCT
aiti-11568	95	36	mlp	mlp	PROPN
aiti-11568	95	37	)	)	PUNCT
aiti-11568	95	38	and	and	CCONJ
aiti-11568	95	39	radial	radial	ADJ
aiti-11568	95	40	basis	basis	NOUN
aiti-11568	95	41	function	function	NOUN
aiti-11568	95	42	(	(	PUNCT
aiti-11568	95	43	rbf	rbf	PROPN
aiti-11568	95	44	)	)	PUNCT
aiti-11568	95	45	.	.	PUNCT
aiti-11568	96	1	the	the	DET
aiti-11568	96	2	rbf	rbf	PROPN
aiti-11568	96	3	network	network	PROPN
aiti-11568	96	4	outperformed	outperform	VERB
aiti-11568	96	5	the	the	DET
aiti-11568	96	6	mlp	mlp	NOUN
aiti-11568	96	7	network	network	NOUN
aiti-11568	96	8	in	in	ADP
aiti-11568	96	9	terms	term	NOUN
aiti-11568	96	10	of	of	ADP
aiti-11568	96	11	performance	performance	NOUN
aiti-11568	96	12	.	.	PUNCT
aiti-11568	97	1	however	however	ADV
aiti-11568	97	2	,	,	PUNCT
aiti-11568	97	3	the	the	DET
aiti-11568	97	4	search	search	NOUN
aiti-11568	97	5	only	only	ADV
aiti-11568	97	6	distinguishes	distinguish	VERB
aiti-11568	97	7	between	between	ADP
aiti-11568	97	8	healthy	healthy	ADJ
aiti-11568	97	9	and	and	CCONJ
aiti-11568	97	10	unhealthy	unhealthy	ADJ
aiti-11568	97	11	plant	plant	NOUN
aiti-11568	97	12	leaf	leaf	NOUN
aiti-11568	97	13	images	image	NOUN
aiti-11568	97	14	.	.	PUNCT
aiti-11568	98	1	it	it	PRON
aiti-11568	98	2	can	can	AUX
aiti-11568	98	3	not	not	PART
aiti-11568	98	4	determine	determine	VERB
aiti-11568	98	5	the	the	DET
aiti-11568	98	6	type	type	NOUN
aiti-11568	98	7	of	of	ADP
aiti-11568	98	8	disease	disease	NOUN
aiti-11568	98	9	.	.	PUNCT
aiti-11568	99	1	a	a	DET
aiti-11568	99	2	basic	basic	ADJ
aiti-11568	99	3	cnn	cnn	PROPN
aiti-11568	99	4	model	model	NOUN
aiti-11568	99	5	with	with	ADP
aiti-11568	99	6	eight	eight	NUM
aiti-11568	99	7	hidden	hidden	ADJ
aiti-11568	99	8	layers	layer	NOUN
aiti-11568	99	9	was	be	AUX
aiti-11568	99	10	used	use	VERB
aiti-11568	99	11	to	to	PART
aiti-11568	99	12	identify	identify	VERB
aiti-11568	99	13	a	a	DET
aiti-11568	99	14	tomato	tomato	NOUN
aiti-11568	99	15	plant	plant	NOUN
aiti-11568	99	16	's	's	PART
aiti-11568	99	17	circumstances	circumstance	NOUN
aiti-11568	99	18	.	.	PUNCT
aiti-11568	100	1	compared	compare	VERB
aiti-11568	100	2	to	to	ADP
aiti-11568	100	3	other	other	ADJ
aiti-11568	100	4	classical	classical	ADJ
aiti-11568	100	5	models	model	NOUN
aiti-11568	100	6	[	[	X
aiti-11568	100	7	13	13	NUM
aiti-11568	100	8	-	-	SYM
aiti-11568	100	9	17	17	NUM
aiti-11568	100	10	]	]	PUNCT
aiti-11568	100	11	,	,	PUNCT
aiti-11568	100	12	the	the	DET
aiti-11568	100	13	proposed	propose	VERB
aiti-11568	100	14	strategies	strategy	NOUN
aiti-11568	100	15	produce	produce	VERB
aiti-11568	100	16	the	the	DET
aiti-11568	100	17	best	good	ADJ
aiti-11568	100	18	results	result	NOUN
aiti-11568	100	19	.	.	PUNCT
aiti-11568	101	1	dl	dl	PROPN
aiti-11568	101	2	approaches	approach	NOUN
aiti-11568	101	3	are	be	AUX
aiti-11568	101	4	used	use	VERB
aiti-11568	101	5	in	in	ADP
aiti-11568	101	6	the	the	DET
aiti-11568	101	7	image	image	NOUN
aiti-11568	101	8	processing	processing	NOUN
aiti-11568	101	9	methodology	methodology	NOUN
aiti-11568	101	10	to	to	PART
aiti-11568	101	11	identify	identify	VERB
aiti-11568	101	12	and	and	CCONJ
aiti-11568	101	13	categorize	categorize	VERB
aiti-11568	101	14	tomato	tomato	NOUN
aiti-11568	101	15	plant	plant	NOUN
aiti-11568	101	16	illnesses	illness	NOUN
aiti-11568	101	17	[	[	X
aiti-11568	101	18	13	13	NUM
aiti-11568	101	19	]	]	PUNCT
aiti-11568	101	20	.	.	PUNCT
aiti-11568	102	1	the	the	DET
aiti-11568	102	2	author	author	NOUN
aiti-11568	102	3	constructed	construct	VERB
aiti-11568	102	4	a	a	DET
aiti-11568	102	5	comprehensive	comprehensive	ADJ
aiti-11568	102	6	system	system	NOUN
aiti-11568	102	7	using	use	VERB
aiti-11568	102	8	the	the	DET
aiti-11568	102	9	segmentation	segmentation	NOUN
aiti-11568	102	10	technique	technique	NOUN
aiti-11568	102	11	and	and	CCONJ
aiti-11568	102	12	cnn	cnn	PROPN
aiti-11568	102	13	.	.	PUNCT
aiti-11568	103	1	a	a	DET
aiti-11568	103	2	variant	variant	NOUN
aiti-11568	103	3	in	in	ADP
aiti-11568	103	4	the	the	DET
aiti-11568	103	5	cnn	cnn	PROPN
aiti-11568	103	6	model	model	NOUN
aiti-11568	103	7	was	be	AUX
aiti-11568	103	8	adopted	adopt	VERB
aiti-11568	103	9	and	and	CCONJ
aiti-11568	103	10	used	use	VERB
aiti-11568	103	11	to	to	PART
aiti-11568	103	12	improve	improve	VERB
aiti-11568	103	13	accuracy	accuracy	NOUN
aiti-11568	103	14	.	.	PUNCT
aiti-11568	104	1	in	in	ADP
aiti-11568	104	2	research	research	NOUN
aiti-11568	104	3	about	about	ADP
aiti-11568	104	4	the	the	DET
aiti-11568	104	5	application	application	NOUN
aiti-11568	104	6	of	of	ADP
aiti-11568	104	7	disease	disease	NOUN
aiti-11568	104	8	identification	identification	NOUN
aiti-11568	104	9	on	on	ADP
aiti-11568	104	10	tomato	tomato	NOUN
aiti-11568	104	11	leaves	leave	NOUN
aiti-11568	104	12	,	,	PUNCT
aiti-11568	104	13	the	the	DET
aiti-11568	104	14	author	author	NOUN
aiti-11568	104	15	introduced	introduce	VERB
aiti-11568	104	16	and	and	CCONJ
aiti-11568	104	17	used	use	VERB
aiti-11568	104	18	a	a	DET
aiti-11568	104	19	cnn	cnn	PROPN
aiti-11568	104	20	model	model	NOUN
aiti-11568	104	21	developed	develop	VERB
aiti-11568	104	22	by	by	ADP
aiti-11568	104	23	tm	tm	PROPN
aiti-11568	104	24	et	et	PROPN
aiti-11568	104	25	al	al	PROPN
aiti-11568	104	26	.	.	PUNCT
aiti-11568	105	1	[	[	X
aiti-11568	105	2	14	14	NUM
aiti-11568	105	3	]	]	PUNCT
aiti-11568	105	4	called	call	VERB
aiti-11568	105	5	lenet	lenet	NOUN
aiti-11568	105	6	.	.	PUNCT
aiti-11568	106	1	this	this	DET
aiti-11568	106	2	process	process	NOUN
aiti-11568	106	3	follows	follow	VERB
aiti-11568	106	4	three	three	NUM
aiti-11568	106	5	steps	step	NOUN
aiti-11568	106	6	:	:	PUNCT
aiti-11568	106	7	data	data	NOUN
aiti-11568	106	8	collection	collection	NOUN
aiti-11568	106	9	,	,	PUNCT
aiti-11568	106	10	preprocessing	preprocessing	NOUN
aiti-11568	106	11	,	,	PUNCT
aiti-11568	106	12	and	and	CCONJ
aiti-11568	106	13	classification	classification	NOUN
aiti-11568	106	14	.	.	PUNCT
aiti-11568	107	1	with	with	ADP
aiti-11568	107	2	outstanding	outstanding	ADJ
aiti-11568	107	3	and	and	CCONJ
aiti-11568	107	4	promising	promising	ADJ
aiti-11568	107	5	results	result	NOUN
aiti-11568	107	6	with	with	ADP
aiti-11568	107	7	an	an	DET
aiti-11568	107	8	accuracy	accuracy	NOUN
aiti-11568	107	9	of	of	ADP
aiti-11568	107	10	94	94	NUM
aiti-11568	107	11	-	-	SYM
aiti-11568	107	12	95	95	NUM
aiti-11568	107	13	%	%	NOUN
aiti-11568	107	14	.	.	PUNCT
aiti-11568	108	1	trivedi	trivedi	PROPN
aiti-11568	108	2	et	et	PROPN
aiti-11568	108	3	al	al	PROPN
aiti-11568	108	4	.	.	PUNCT
aiti-11568	109	1	[	[	X
aiti-11568	109	2	15	15	NUM
aiti-11568	109	3	]	]	PUNCT
aiti-11568	109	4	presented	present	VERB
aiti-11568	109	5	this	this	DET
aiti-11568	109	6	article	article	NOUN
aiti-11568	109	7	discussing	discuss	VERB
aiti-11568	109	8	standard	standard	ADJ
aiti-11568	109	9	profound	profound	ADJ
aiti-11568	109	10	learning	learning	NOUN
aiti-11568	109	11	models	model	NOUN
aiti-11568	109	12	and	and	CCONJ
aiti-11568	109	13	variants	variant	NOUN
aiti-11568	109	14	.	.	PUNCT
aiti-11568	110	1	this	this	DET
aiti-11568	110	2	article	article	NOUN
aiti-11568	110	3	discussed	discuss	VERB
aiti-11568	110	4	biotic	biotic	ADJ
aiti-11568	110	5	diseases	disease	NOUN
aiti-11568	110	6	caused	cause	VERB
aiti-11568	110	7	by	by	ADP
aiti-11568	110	8	fungal	fungal	ADJ
aiti-11568	110	9	and	and	CCONJ
aiti-11568	110	10	bacterial	bacterial	ADJ
aiti-11568	110	11	pathogens	pathogen	NOUN
aiti-11568	110	12	,	,	PUNCT
aiti-11568	110	13	specifically	specifically	ADV
aiti-11568	110	14	tomato	tomato	NOUN
aiti-11568	110	15	leaf	leaf	NOUN
aiti-11568	110	16	blight	blight	NOUN
aiti-11568	110	17	,	,	PUNCT
aiti-11568	110	18	blast	blast	NOUN
aiti-11568	110	19	,	,	PUNCT
aiti-11568	110	20	and	and	CCONJ
aiti-11568	110	21	browning	browning	NOUN
aiti-11568	110	22	.	.	PUNCT
aiti-11568	111	1	the	the	DET
aiti-11568	111	2	proposed	propose	VERB
aiti-11568	111	3	model	model	NOUN
aiti-11568	111	4	detection	detection	NOUN
aiti-11568	111	5	rate	rate	NOUN
aiti-11568	111	6	was	be	AUX
aiti-11568	111	7	98.49	98.49	NUM
aiti-11568	111	8	%	%	NOUN
aiti-11568	111	9	correct	correct	ADJ
aiti-11568	111	10	.	.	PUNCT
aiti-11568	112	1	the	the	DET
aiti-11568	112	2	proposed	propose	VERB
aiti-11568	112	3	model	model	NOUN
aiti-11568	112	4	was	be	AUX
aiti-11568	112	5	compared	compare	VERB
aiti-11568	112	6	to	to	PART
aiti-11568	112	7	vgg	vgg	VERB
aiti-11568	112	8	and	and	CCONJ
aiti-11568	112	9	resnet	resnet	VERB
aiti-11568	112	10	versions	version	NOUN
aiti-11568	112	11	using	use	VERB
aiti-11568	112	12	the	the	DET
aiti-11568	112	13	same	same	ADJ
aiti-11568	112	14	dataset	dataset	NOUN
aiti-11568	112	15	.	.	PUNCT
aiti-11568	113	1	in	in	ADP
aiti-11568	113	2	another	another	DET
aiti-11568	113	3	work	work	NOUN
aiti-11568	113	4	,	,	PUNCT
aiti-11568	113	5	suryanarayana	suryanarayana	PROPN
aiti-11568	113	6	et	et	PROPN
aiti-11568	113	7	al	al	PROPN
aiti-11568	113	8	.	.	PUNCT
aiti-11568	114	1	[	[	X
aiti-11568	114	2	16	16	NUM
aiti-11568	114	3	]	]	PUNCT
aiti-11568	114	4	reviewed	review	VERB
aiti-11568	114	5	all	all	DET
aiti-11568	114	6	cnn	cnn	PROPN
aiti-11568	114	7	variants	variant	NOUN
aiti-11568	114	8	for	for	ADP
aiti-11568	114	9	plant	plant	NOUN
aiti-11568	114	10	disease	disease	NOUN
aiti-11568	114	11	classification	classification	NOUN
aiti-11568	114	12	.	.	PUNCT
aiti-11568	115	1	the	the	DET
aiti-11568	115	2	authors	author	NOUN
aiti-11568	115	3	also	also	ADV
aiti-11568	115	4	briefed	brief	VERB
aiti-11568	115	5	all	all	DET
aiti-11568	115	6	dl	dl	PROPN
aiti-11568	115	7	principles	principle	NOUN
aiti-11568	115	8	employed	employ	VERB
aiti-11568	115	9	for	for	ADP
aiti-11568	115	10	leaf	leaf	NOUN
aiti-11568	115	11	disease	disease	NOUN
aiti-11568	115	12	diagnosis	diagnosis	NOUN
aiti-11568	115	13	and	and	CCONJ
aiti-11568	115	14	classification	classification	NOUN
aiti-11568	115	15	.	.	PUNCT
aiti-11568	116	1	the	the	DET
aiti-11568	116	2	authors	author	NOUN
aiti-11568	116	3	concentrated	concentrate	VERB
aiti-11568	116	4	on	on	ADP
aiti-11568	116	5	the	the	DET
aiti-11568	116	6	most	most	ADV
aiti-11568	116	7	recent	recent	ADJ
aiti-11568	116	8	cnn	cnn	PROPN
aiti-11568	116	9	models	model	NOUN
aiti-11568	116	10	and	and	CCONJ
aiti-11568	116	11	evaluated	evaluate	VERB
aiti-11568	116	12	their	their	PRON
aiti-11568	116	13	performance	performance	NOUN
aiti-11568	116	14	.	.	PUNCT
aiti-11568	117	1	in	in	ADP
aiti-11568	117	2	this	this	DET
aiti-11568	117	3	paper	paper	NOUN
aiti-11568	117	4	,	,	PUNCT
aiti-11568	117	5	the	the	DET
aiti-11568	117	6	authors	author	NOUN
aiti-11568	117	7	summarize	summarize	VERB
aiti-11568	117	8	several	several	ADJ
aiti-11568	117	9	cnn	cnn	PROPN
aiti-11568	117	10	versions	version	NOUN
aiti-11568	117	11	,	,	PUNCT
aiti-11568	117	12	such	such	ADJ
aiti-11568	117	13	as	as	ADP
aiti-11568	117	14	vgg16	vgg16	PROPN
aiti-11568	117	15	,	,	PUNCT
aiti-11568	117	16	vgg19	vgg19	PROPN
aiti-11568	117	17	,	,	PUNCT
aiti-11568	117	18	and	and	CCONJ
aiti-11568	117	19	resnet	resnet	NOUN
aiti-11568	117	20	,	,	PUNCT
aiti-11568	117	21	while	while	SCONJ
aiti-11568	117	22	also	also	ADV
aiti-11568	117	23	examining	examine	VERB
aiti-11568	117	24	their	their	PRON
aiti-11568	117	25	benefits	benefit	NOUN
aiti-11568	117	26	,	,	PUNCT
aiti-11568	117	27	drawbacks	drawback	NOUN
aiti-11568	117	28	,	,	PUNCT
aiti-11568	117	29	and	and	CCONJ
aiti-11568	117	30	prospects	prospect	NOUN
aiti-11568	117	31	for	for	ADP
aiti-11568	117	32	use	use	NOUN
aiti-11568	117	33	in	in	ADP
aiti-11568	117	34	various	various	ADJ
aiti-11568	117	35	applications	application	NOUN
aiti-11568	117	36	.	.	PUNCT
aiti-11568	118	1	bhagwat	bhagwat	NOUN
aiti-11568	118	2	advances	advance	NOUN
aiti-11568	118	3	in	in	ADP
aiti-11568	118	4	technology	technology	NOUN
aiti-11568	118	5	innovation	innovation	NOUN
aiti-11568	118	6	,	,	PUNCT
aiti-11568	118	7	vol	vol	NOUN
aiti-11568	118	8	.	.	PROPN
aiti-11568	118	9	8	8	NUM
aiti-11568	118	10	,	,	PUNCT
aiti-11568	118	11	no	no	INTJ
aiti-11568	118	12	.	.	NOUN
aiti-11568	118	13	3	3	NUM
aiti-11568	118	14	,	,	PUNCT
aiti-11568	118	15	2023	2023	NUM
aiti-11568	118	16	,	,	PUNCT
aiti-11568	118	17	pp	pp	ADJ
aiti-11568	118	18	.	.	PUNCT
aiti-11568	119	1	192	192	NUM
aiti-11568	119	2	-	-	SYM
aiti-11568	119	3	209	209	NUM
aiti-11568	119	4	195	195	NUM
aiti-11568	119	5	and	and	CCONJ
aiti-11568	119	6	dandawate	dandawate	VERB
aiti-11568	120	1	[	[	X
aiti-11568	120	2	17	17	NUM
aiti-11568	120	3	]	]	PUNCT
aiti-11568	120	4	conducted	conduct	VERB
aiti-11568	120	5	a	a	DET
aiti-11568	120	6	study	study	NOUN
aiti-11568	120	7	on	on	ADP
aiti-11568	120	8	disease	disease	NOUN
aiti-11568	120	9	identification	identification	NOUN
aiti-11568	120	10	on	on	ADP
aiti-11568	120	11	crops	crop	NOUN
aiti-11568	120	12	,	,	PUNCT
aiti-11568	120	13	the	the	DET
aiti-11568	120	14	authors	author	NOUN
aiti-11568	120	15	applied	apply	VERB
aiti-11568	120	16	hand	hand	NOUN
aiti-11568	120	17	-	-	PUNCT
aiti-11568	120	18	crafter	crafter	NOUN
aiti-11568	120	19	features	feature	NOUN
aiti-11568	120	20	(	(	PUNCT
aiti-11568	120	21	hcf	hcf	PROPN
aiti-11568	120	22	)	)	PUNCT
aiti-11568	120	23	together	together	ADV
aiti-11568	120	24	with	with	ADP
aiti-11568	120	25	cnn	cnn	PROPN
aiti-11568	120	26	in	in	ADP
aiti-11568	120	27	the	the	DET
aiti-11568	120	28	form	form	NOUN
aiti-11568	120	29	of	of	ADP
aiti-11568	120	30	fusion	fusion	NOUN
aiti-11568	120	31	.	.	PUNCT
aiti-11568	121	1	the	the	DET
aiti-11568	121	2	author	author	NOUN
aiti-11568	121	3	also	also	ADV
aiti-11568	121	4	mentioned	mention	VERB
aiti-11568	121	5	fine	fine	ADV
aiti-11568	121	6	-	-	PUNCT
aiti-11568	121	7	tuning	tune	VERB
aiti-11568	121	8	the	the	DET
aiti-11568	121	9	central	central	ADJ
aiti-11568	121	10	coefficient	coefficient	NOUN
aiti-11568	121	11	.	.	PUNCT
aiti-11568	122	1	as	as	ADP
aiti-11568	122	2	a	a	DET
aiti-11568	122	3	result	result	NOUN
aiti-11568	122	4	,	,	PUNCT
aiti-11568	122	5	the	the	DET
aiti-11568	122	6	accuracy	accuracy	NOUN
aiti-11568	122	7	for	for	ADP
aiti-11568	122	8	the	the	DET
aiti-11568	122	9	entire	entire	ADJ
aiti-11568	122	10	leaf	leaf	NOUN
aiti-11568	122	11	dataset	dataset	NOUN
aiti-11568	122	12	is	be	AUX
aiti-11568	122	13	99.93	99.93	NUM
aiti-11568	122	14	%	%	NOUN
aiti-11568	122	15	,	,	PUNCT
aiti-11568	122	16	which	which	PRON
aiti-11568	122	17	is	be	AUX
aiti-11568	122	18	impressive	impressive	ADJ
aiti-11568	122	19	.	.	PUNCT
aiti-11568	123	1	this	this	DET
aiti-11568	123	2	result	result	NOUN
aiti-11568	123	3	is	be	AUX
aiti-11568	123	4	auspicious	auspicious	ADJ
aiti-11568	123	5	,	,	PUNCT
aiti-11568	123	6	demonstrating	demonstrate	VERB
aiti-11568	123	7	improved	improve	VERB
aiti-11568	123	8	results	result	NOUN
aiti-11568	123	9	based	base	VERB
aiti-11568	123	10	on	on	ADP
aiti-11568	123	11	the	the	DET
aiti-11568	123	12	prominence	prominence	NOUN
aiti-11568	123	13	of	of	ADP
aiti-11568	123	14	feature	feature	NOUN
aiti-11568	123	15	fusion	fusion	NOUN
aiti-11568	123	16	in	in	ADP
aiti-11568	123	17	crop	crop	NOUN
aiti-11568	123	18	disease	disease	NOUN
aiti-11568	123	19	detection	detection	NOUN
aiti-11568	123	20	.	.	PUNCT
aiti-11568	124	1	coulibaly	coulibaly	NOUN
aiti-11568	124	2	et	et	PROPN
aiti-11568	124	3	al	al	PROPN
aiti-11568	124	4	.	.	PUNCT
aiti-11568	125	1	[	[	X
aiti-11568	125	2	18	18	NUM
aiti-11568	125	3	]	]	PUNCT
aiti-11568	125	4	used	use	VERB
aiti-11568	125	5	cnn	cnn	PROPN
aiti-11568	125	6	vgg16	vgg16	PROPN
aiti-11568	125	7	to	to	PART
aiti-11568	125	8	perform	perform	VERB
aiti-11568	125	9	state	state	NOUN
aiti-11568	125	10	classification	classification	NOUN
aiti-11568	125	11	detection	detection	NOUN
aiti-11568	125	12	of	of	ADP
aiti-11568	125	13	millet	millet	NOUN
aiti-11568	125	14	crop	crop	NOUN
aiti-11568	125	15	.	.	PUNCT
aiti-11568	126	1	the	the	DET
aiti-11568	126	2	machine	machine	NOUN
aiti-11568	126	3	learning	learning	NOUN
aiti-11568	126	4	process	process	NOUN
aiti-11568	126	5	is	be	AUX
aiti-11568	126	6	fast	fast	ADJ
aiti-11568	126	7	,	,	PUNCT
aiti-11568	126	8	with	with	ADP
aiti-11568	126	9	promising	promising	ADJ
aiti-11568	126	10	results	result	NOUN
aiti-11568	126	11	such	such	ADJ
aiti-11568	126	12	as	as	ADP
aiti-11568	126	13	an	an	DET
aiti-11568	126	14	accuracy	accuracy	NOUN
aiti-11568	126	15	of	of	ADP
aiti-11568	126	16	95.00	95.00	NUM
aiti-11568	126	17	%	%	NOUN
aiti-11568	126	18	,	,	PUNCT
aiti-11568	126	19	precision	precision	NOUN
aiti-11568	126	20	of	of	ADP
aiti-11568	126	21	90.50	90.50	NUM
aiti-11568	126	22	%	%	NOUN
aiti-11568	126	23	,	,	PUNCT
aiti-11568	126	24	recall	recall	NOUN
aiti-11568	126	25	of	of	ADP
aiti-11568	126	26	94.50	94.50	NUM
aiti-11568	126	27	%	%	NOUN
aiti-11568	126	28	,	,	PUNCT
aiti-11568	126	29	and	and	CCONJ
aiti-11568	126	30	an	an	DET
aiti-11568	126	31	f1	f1	NOUN
aiti-11568	126	32	-	-	PUNCT
aiti-11568	126	33	score	score	NOUN
aiti-11568	126	34	of	of	ADP
aiti-11568	126	35	91.75	91.75	NUM
aiti-11568	126	36	%	%	NOUN
aiti-11568	126	37	.	.	PUNCT
aiti-11568	127	1	ashwinkumar	ashwinkumar	PROPN
aiti-11568	127	2	et	et	PROPN
aiti-11568	127	3	al	al	PROPN
aiti-11568	127	4	.	.	PUNCT
aiti-11568	128	1	[	[	X
aiti-11568	128	2	19	19	NUM
aiti-11568	128	3	]	]	PUNCT
aiti-11568	128	4	proposed	propose	VERB
aiti-11568	128	5	using	use	VERB
aiti-11568	128	6	mobilenet	mobilenet	NOUN
aiti-11568	128	7	as	as	ADP
aiti-11568	128	8	a	a	DET
aiti-11568	128	9	base	base	NOUN
aiti-11568	128	10	cnn	cnn	PROPN
aiti-11568	128	11	model	model	NOUN
aiti-11568	128	12	and	and	CCONJ
aiti-11568	128	13	built	build	VERB
aiti-11568	128	14	a	a	DET
aiti-11568	128	15	new	new	ADJ
aiti-11568	128	16	automated	automate	VERB
aiti-11568	128	17	model	model	NOUN
aiti-11568	128	18	for	for	ADP
aiti-11568	128	19	detecting	detect	VERB
aiti-11568	128	20	and	and	CCONJ
aiti-11568	128	21	classifying	classify	VERB
aiti-11568	128	22	plant	plant	NOUN
aiti-11568	128	23	leaf	leaf	NOUN
aiti-11568	128	24	diseases	disease	NOUN
aiti-11568	128	25	based	base	VERB
aiti-11568	128	26	on	on	ADP
aiti-11568	128	27	an	an	DET
aiti-11568	128	28	optimal	optimal	ADJ
aiti-11568	128	29	mobile	mobile	ADJ
aiti-11568	128	30	network	network	NOUN
aiti-11568	128	31	-	-	PUNCT
aiti-11568	128	32	based	base	VERB
aiti-11568	128	33	convolutional	convolutional	ADJ
aiti-11568	128	34	neural	neural	ADJ
aiti-11568	128	35	network	network	NOUN
aiti-11568	128	36	(	(	PUNCT
aiti-11568	128	37	omncnn	omncnn	PROPN
aiti-11568	128	38	)	)	PUNCT
aiti-11568	128	39	.	.	PUNCT
aiti-11568	129	1	the	the	DET
aiti-11568	129	2	proposed	propose	VERB
aiti-11568	129	3	omncnn	omncnn	PROPN
aiti-11568	129	4	model	model	NOUN
aiti-11568	129	5	goes	go	VERB
aiti-11568	129	6	through	through	ADP
aiti-11568	129	7	several	several	ADJ
aiti-11568	129	8	stages	stage	NOUN
aiti-11568	129	9	,	,	PUNCT
aiti-11568	129	10	including	include	VERB
aiti-11568	129	11	preprocessing	preprocessing	NOUN
aiti-11568	129	12	,	,	PUNCT
aiti-11568	129	13	segmentation	segmentation	NOUN
aiti-11568	129	14	,	,	PUNCT
aiti-11568	129	15	feature	feature	NOUN
aiti-11568	129	16	extraction	extraction	NOUN
aiti-11568	129	17	,	,	PUNCT
aiti-11568	129	18	and	and	CCONJ
aiti-11568	129	19	classification	classification	NOUN
aiti-11568	129	20	.	.	PUNCT
aiti-11568	130	1	with	with	ADP
aiti-11568	130	2	a	a	DET
aiti-11568	130	3	higher	high	ADJ
aiti-11568	130	4	accuracy	accuracy	NOUN
aiti-11568	130	5	of	of	ADP
aiti-11568	130	6	98.7	98.7	NUM
aiti-11568	130	7	%	%	NOUN
aiti-11568	130	8	,	,	PUNCT
aiti-11568	130	9	the	the	DET
aiti-11568	130	10	proposed	propose	VERB
aiti-11568	130	11	omncnn	omncnn	PROPN
aiti-11568	130	12	methodology	methodology	NOUN
aiti-11568	130	13	achieved	achieve	VERB
aiti-11568	130	14	maximum	maximum	ADJ
aiti-11568	130	15	performance	performance	NOUN
aiti-11568	130	16	.	.	PUNCT
aiti-11568	131	1	as	as	ADP
aiti-11568	131	2	a	a	DET
aiti-11568	131	3	result	result	NOUN
aiti-11568	131	4	,	,	PUNCT
aiti-11568	131	5	the	the	DET
aiti-11568	131	6	cnn	cnn	PROPN
aiti-11568	131	7	model	model	NOUN
aiti-11568	131	8	is	be	AUX
aiti-11568	131	9	an	an	DET
aiti-11568	131	10	effective	effective	ADJ
aiti-11568	131	11	real	real	ADJ
aiti-11568	131	12	-	-	PUNCT
aiti-11568	131	13	time	time	NOUN
aiti-11568	131	14	tool	tool	NOUN
aiti-11568	131	15	for	for	ADP
aiti-11568	131	16	detecting	detect	VERB
aiti-11568	131	17	and	and	CCONJ
aiti-11568	131	18	classifying	classify	VERB
aiti-11568	131	19	plant	plant	NOUN
aiti-11568	131	20	leaf	leaf	NOUN
aiti-11568	131	21	diseases	disease	NOUN
aiti-11568	131	22	.	.	PUNCT
aiti-11568	132	1	kaya	kaya	PROPN
aiti-11568	132	2	and	and	CCONJ
aiti-11568	132	3	gursoy	gursoy	ADJ
aiti-11568	132	4	[	[	X
aiti-11568	132	5	20	20	NUM
aiti-11568	132	6	]	]	PUNCT
aiti-11568	132	7	proposed	propose	VERB
aiti-11568	132	8	a	a	DET
aiti-11568	132	9	novel	novel	ADJ
aiti-11568	132	10	approach	approach	NOUN
aiti-11568	132	11	based	base	VERB
aiti-11568	132	12	on	on	ADP
aiti-11568	132	13	dl	dl	PROPN
aiti-11568	132	14	for	for	ADP
aiti-11568	132	15	plant	plant	NOUN
aiti-11568	132	16	disease	disease	NOUN
aiti-11568	132	17	detection	detection	NOUN
aiti-11568	132	18	.	.	PUNCT
aiti-11568	133	1	the	the	DET
aiti-11568	133	2	authors	author	NOUN
aiti-11568	133	3	fused	fuse	VERB
aiti-11568	133	4	rgb	rgb	PROPN
aiti-11568	133	5	images	image	NOUN
aiti-11568	133	6	with	with	ADP
aiti-11568	133	7	segmentation	segmentation	NOUN
aiti-11568	133	8	images	image	NOUN
aiti-11568	133	9	,	,	PUNCT
aiti-11568	133	10	then	then	ADV
aiti-11568	133	11	considered	consider	VERB
aiti-11568	133	12	them	they	PRON
aiti-11568	133	13	with	with	ADP
aiti-11568	133	14	a	a	DET
aiti-11568	133	15	multi	multi	ADJ
aiti-11568	133	16	-	-	ADJ
aiti-11568	133	17	headed	headed	ADJ
aiti-11568	133	18	densenet	densenet	NOUN
aiti-11568	133	19	-	-	PUNCT
aiti-11568	133	20	based	base	VERB
aiti-11568	133	21	architecture	architecture	NOUN
aiti-11568	133	22	that	that	SCONJ
aiti-11568	133	23	the	the	DET
aiti-11568	133	24	authors	author	NOUN
aiti-11568	133	25	developed	develop	VERB
aiti-11568	133	26	.	.	PUNCT
aiti-11568	134	1	the	the	DET
aiti-11568	134	2	accuracy	accuracy	NOUN
aiti-11568	134	3	result	result	NOUN
aiti-11568	134	4	was	be	AUX
aiti-11568	134	5	98.17	98.17	NUM
aiti-11568	134	6	%	%	NOUN
aiti-11568	134	7	,	,	PUNCT
aiti-11568	134	8	which	which	PRON
aiti-11568	134	9	is	be	AUX
aiti-11568	134	10	also	also	ADV
aiti-11568	134	11	promising	promise	VERB
aiti-11568	134	12	because	because	SCONJ
aiti-11568	134	13	the	the	DET
aiti-11568	134	14	authors	author	NOUN
aiti-11568	134	15	mentioned	mention	VERB
aiti-11568	134	16	that	that	SCONJ
aiti-11568	134	17	we	we	PRON
aiti-11568	134	18	could	could	AUX
aiti-11568	134	19	apply	apply	VERB
aiti-11568	134	20	this	this	DET
aiti-11568	134	21	model	model	NOUN
aiti-11568	134	22	to	to	ADP
aiti-11568	134	23	the	the	DET
aiti-11568	134	24	early	early	ADJ
aiti-11568	134	25	prediction	prediction	NOUN
aiti-11568	134	26	of	of	ADP
aiti-11568	134	27	diseases	disease	NOUN
aiti-11568	134	28	on	on	ADP
aiti-11568	134	29	the	the	DET
aiti-11568	134	30	leaves	leave	NOUN
aiti-11568	134	31	of	of	ADP
aiti-11568	134	32	plants	plant	NOUN
aiti-11568	134	33	and	and	CCONJ
aiti-11568	134	34	reduce	reduce	VERB
aiti-11568	134	35	costs	cost	NOUN
aiti-11568	134	36	and	and	CCONJ
aiti-11568	134	37	losses	loss	NOUN
aiti-11568	134	38	,	,	PUNCT
aiti-11568	134	39	which	which	PRON
aiti-11568	134	40	affect	affect	VERB
aiti-11568	134	41	the	the	DET
aiti-11568	134	42	quality	quality	NOUN
aiti-11568	134	43	of	of	ADP
aiti-11568	134	44	agricultural	agricultural	ADJ
aiti-11568	134	45	products	product	NOUN
aiti-11568	134	46	.	.	PUNCT
aiti-11568	135	1	thakur	thakur	PROPN
aiti-11568	135	2	et	et	PROPN
aiti-11568	135	3	al	al	PROPN
aiti-11568	135	4	.	.	PUNCT
aiti-11568	136	1	[	[	X
aiti-11568	136	2	21	21	NUM
aiti-11568	136	3	]	]	PUNCT
aiti-11568	136	4	introduced	introduce	VERB
aiti-11568	136	5	a	a	DET
aiti-11568	136	6	lightweight	lightweight	ADJ
aiti-11568	136	7	cnn	cnn	PROPN
aiti-11568	136	8	model	model	NOUN
aiti-11568	136	9	called	call	VERB
aiti-11568	136	10	“	"	PUNCT
aiti-11568	136	11	vgg	vgg	PROPN
aiti-11568	136	12	-	-	PUNCT
aiti-11568	136	13	icnn	icnn	NOUN
aiti-11568	136	14	”	"	PUNCT
aiti-11568	136	15	.	.	PUNCT
aiti-11568	137	1	vgg	vgg	PROPN
aiti-11568	137	2	-	-	PUNCT
aiti-11568	137	3	icnn	icnn	PROPN
aiti-11568	137	4	has	have	VERB
aiti-11568	137	5	approximately	approximately	ADV
aiti-11568	137	6	6	6	NUM
aiti-11568	137	7	million	million	NUM
aiti-11568	137	8	parameters	parameter	NOUN
aiti-11568	137	9	,	,	PUNCT
aiti-11568	137	10	much	much	ADV
aiti-11568	137	11	fewer	few	ADJ
aiti-11568	137	12	than	than	ADP
aiti-11568	137	13	most	most	ADJ
aiti-11568	137	14	high	high	ADV
aiti-11568	137	15	-	-	PUNCT
aiti-11568	137	16	performing	perform	VERB
aiti-11568	137	17	dl	dl	NOUN
aiti-11568	137	18	models	model	NOUN
aiti-11568	137	19	.	.	PUNCT
aiti-11568	138	1	the	the	DET
aiti-11568	138	2	model	model	NOUN
aiti-11568	138	3	’s	’s	PART
aiti-11568	138	4	performance	performance	NOUN
aiti-11568	138	5	is	be	AUX
aiti-11568	138	6	evaluated	evaluate	VERB
aiti-11568	138	7	using	use	VERB
aiti-11568	138	8	five	five	NUM
aiti-11568	138	9	public	public	ADJ
aiti-11568	138	10	datasets	dataset	NOUN
aiti-11568	138	11	,	,	PUNCT
aiti-11568	138	12	including	include	VERB
aiti-11568	138	13	various	various	ADJ
aiti-11568	138	14	crop	crop	NOUN
aiti-11568	138	15	kinds	kind	NOUN
aiti-11568	138	16	.	.	PUNCT
aiti-11568	139	1	this	this	DET
aiti-11568	139	2	model	model	NOUN
aiti-11568	139	3	produces	produce	VERB
aiti-11568	139	4	compelling	compelling	ADJ
aiti-11568	139	5	results	result	NOUN
aiti-11568	139	6	with	with	ADP
aiti-11568	139	7	up	up	ADP
aiti-11568	139	8	to	to	PART
aiti-11568	139	9	99.16	99.16	NUM
aiti-11568	139	10	%	%	NOUN
aiti-11568	139	11	accuracy	accuracy	NOUN
aiti-11568	139	12	.	.	PUNCT
aiti-11568	140	1	however	however	ADV
aiti-11568	140	2	,	,	PUNCT
aiti-11568	140	3	because	because	SCONJ
aiti-11568	140	4	this	this	PRON
aiti-11568	140	5	is	be	AUX
aiti-11568	140	6	the	the	DET
aiti-11568	140	7	model	model	NOUN
aiti-11568	140	8	used	use	VERB
aiti-11568	140	9	to	to	PART
aiti-11568	140	10	classify	classify	VERB
aiti-11568	140	11	crop	crop	NOUN
aiti-11568	140	12	diversity	diversity	NOUN
aiti-11568	140	13	,	,	PUNCT
aiti-11568	140	14	it	it	PRON
aiti-11568	140	15	can	can	AUX
aiti-11568	140	16	be	be	AUX
aiti-11568	140	17	inappropriate	inappropriate	ADJ
aiti-11568	140	18	to	to	PART
aiti-11568	140	19	compare	compare	VERB
aiti-11568	140	20	it	it	PRON
aiti-11568	140	21	with	with	ADP
aiti-11568	140	22	the	the	DET
aiti-11568	140	23	proposed	propose	VERB
aiti-11568	140	24	model	model	NOUN
aiti-11568	140	25	.	.	PUNCT
aiti-11568	141	1	3	3	X
aiti-11568	141	2	.	.	NOUN
aiti-11568	141	3	method	method	VERB
aiti-11568	141	4	convolutional	convolutional	ADJ
aiti-11568	141	5	neural	neural	ADJ
aiti-11568	141	6	networks	network	NOUN
aiti-11568	141	7	(	(	PUNCT
aiti-11568	141	8	cnns	cnns	PROPN
aiti-11568	141	9	)	)	PUNCT
aiti-11568	141	10	with	with	ADP
aiti-11568	141	11	fine	fine	ADV
aiti-11568	141	12	-	-	PUNCT
aiti-11568	141	13	tuning	tuning	NOUN
aiti-11568	141	14	have	have	AUX
aiti-11568	141	15	shown	show	VERB
aiti-11568	141	16	great	great	ADJ
aiti-11568	141	17	promise	promise	NOUN
aiti-11568	141	18	in	in	ADP
aiti-11568	141	19	the	the	DET
aiti-11568	141	20	classification	classification	NOUN
aiti-11568	141	21	of	of	ADP
aiti-11568	141	22	plant	plant	NOUN
aiti-11568	141	23	diseases	disease	NOUN
aiti-11568	141	24	.	.	PUNCT
aiti-11568	142	1	cnn	cnn	PROPN
aiti-11568	142	2	models	model	NOUN
aiti-11568	142	3	can	can	AUX
aiti-11568	142	4	efficiently	efficiently	ADV
aiti-11568	142	5	analyze	analyze	VERB
aiti-11568	142	6	and	and	CCONJ
aiti-11568	142	7	classify	classify	VERB
aiti-11568	142	8	various	various	ADJ
aiti-11568	142	9	types	type	NOUN
aiti-11568	142	10	of	of	ADP
aiti-11568	142	11	plant	plant	NOUN
aiti-11568	142	12	diseases	disease	NOUN
aiti-11568	142	13	,	,	PUNCT
aiti-11568	142	14	assisting	assist	VERB
aiti-11568	142	15	in	in	ADP
aiti-11568	142	16	early	early	ADJ
aiti-11568	142	17	detection	detection	NOUN
aiti-11568	142	18	and	and	CCONJ
aiti-11568	142	19	efficient	efficient	ADJ
aiti-11568	142	20	management	management	NOUN
aiti-11568	142	21	.	.	PUNCT
aiti-11568	143	1	this	this	PRON
aiti-11568	143	2	is	be	AUX
aiti-11568	143	3	made	make	VERB
aiti-11568	143	4	possible	possible	ADJ
aiti-11568	143	5	by	by	ADP
aiti-11568	143	6	utilizing	utilize	VERB
aiti-11568	143	7	the	the	DET
aiti-11568	143	8	strength	strength	NOUN
aiti-11568	143	9	of	of	ADP
aiti-11568	143	10	deep	deep	ADJ
aiti-11568	143	11	learning	learning	NOUN
aiti-11568	143	12	and	and	CCONJ
aiti-11568	143	13	transfer	transfer	VERB
aiti-11568	143	14	learning	learning	NOUN
aiti-11568	143	15	techniques	technique	NOUN
aiti-11568	143	16	.	.	PUNCT
aiti-11568	144	1	first	first	ADV
aiti-11568	144	2	,	,	PUNCT
aiti-11568	144	3	data	datum	NOUN
aiti-11568	144	4	collection	collection	NOUN
aiti-11568	144	5	is	be	AUX
aiti-11568	144	6	important	important	ADJ
aiti-11568	144	7	because	because	SCONJ
aiti-11568	144	8	it	it	PRON
aiti-11568	144	9	ensures	ensure	VERB
aiti-11568	144	10	clear	clear	ADJ
aiti-11568	144	11	,	,	PUNCT
aiti-11568	144	12	bright	bright	ADJ
aiti-11568	144	13	,	,	PUNCT
aiti-11568	144	14	and	and	CCONJ
aiti-11568	144	15	visible	visible	ADJ
aiti-11568	144	16	images	image	NOUN
aiti-11568	144	17	,	,	PUNCT
aiti-11568	144	18	which	which	PRON
aiti-11568	144	19	leads	lead	VERB
aiti-11568	144	20	to	to	ADP
aiti-11568	144	21	better	well	ADJ
aiti-11568	144	22	training	training	NOUN
aiti-11568	144	23	results	result	NOUN
aiti-11568	144	24	.	.	PUNCT
aiti-11568	145	1	next	next	ADV
aiti-11568	145	2	,	,	PUNCT
aiti-11568	145	3	the	the	DET
aiti-11568	145	4	reference	reference	NOUN
aiti-11568	145	5	and	and	CCONJ
aiti-11568	145	6	selection	selection	NOUN
aiti-11568	145	7	of	of	ADP
aiti-11568	145	8	suitable	suitable	ADJ
aiti-11568	145	9	cnn	cnn	PROPN
aiti-11568	145	10	models	model	NOUN
aiti-11568	145	11	are	be	AUX
aiti-11568	145	12	equally	equally	ADV
aiti-11568	145	13	important	important	ADJ
aiti-11568	145	14	,	,	PUNCT
aiti-11568	145	15	depending	depend	VERB
aiti-11568	145	16	on	on	ADP
aiti-11568	145	17	the	the	DET
aiti-11568	145	18	degree	degree	NOUN
aiti-11568	145	19	of	of	ADP
aiti-11568	145	20	accuracy	accuracy	NOUN
aiti-11568	145	21	that	that	SCONJ
aiti-11568	145	22	the	the	DET
aiti-11568	145	23	model	model	NOUN
aiti-11568	145	24	performs	perform	VERB
aiti-11568	145	25	,	,	PUNCT
aiti-11568	145	26	along	along	ADP
aiti-11568	145	27	with	with	ADP
aiti-11568	145	28	the	the	DET
aiti-11568	145	29	amount	amount	NOUN
aiti-11568	145	30	of	of	ADP
aiti-11568	145	31	storage	storage	NOUN
aiti-11568	145	32	that	that	PRON
aiti-11568	145	33	the	the	DET
aiti-11568	145	34	model	model	NOUN
aiti-11568	145	35	occupies	occupy	VERB
aiti-11568	145	36	in	in	ADP
aiti-11568	145	37	the	the	DET
aiti-11568	145	38	system	system	NOUN
aiti-11568	145	39	.	.	PUNCT
aiti-11568	146	1	then	then	ADV
aiti-11568	146	2	comes	come	VERB
aiti-11568	146	3	the	the	DET
aiti-11568	146	4	stage	stage	NOUN
aiti-11568	146	5	of	of	ADP
aiti-11568	146	6	decomposing	decompose	VERB
aiti-11568	146	7	and	and	CCONJ
aiti-11568	146	8	fine	fine	ADV
aiti-11568	146	9	-	-	PUNCT
aiti-11568	146	10	tuning	tune	VERB
aiti-11568	146	11	the	the	DET
aiti-11568	146	12	hyperparameters	hyperparameter	NOUN
aiti-11568	146	13	.	.	PUNCT
aiti-11568	147	1	finally	finally	ADV
aiti-11568	147	2	,	,	PUNCT
aiti-11568	147	3	apply	apply	VERB
aiti-11568	147	4	comparison	comparison	NOUN
aiti-11568	147	5	,	,	PUNCT
aiti-11568	147	6	evaluation	evaluation	NOUN
aiti-11568	147	7	,	,	PUNCT
aiti-11568	147	8	and	and	CCONJ
aiti-11568	147	9	validation	validation	NOUN
aiti-11568	147	10	.	.	PUNCT
aiti-11568	148	1	remember	remember	VERB
aiti-11568	148	2	to	to	PART
aiti-11568	148	3	periodically	periodically	ADV
aiti-11568	148	4	update	update	VERB
aiti-11568	148	5	and	and	CCONJ
aiti-11568	148	6	retrain	retrain	VERB
aiti-11568	148	7	the	the	DET
aiti-11568	148	8	model	model	NOUN
aiti-11568	148	9	as	as	SCONJ
aiti-11568	148	10	new	new	ADJ
aiti-11568	148	11	data	datum	NOUN
aiti-11568	148	12	becomes	become	VERB
aiti-11568	148	13	available	available	ADJ
aiti-11568	148	14	to	to	PART
aiti-11568	148	15	ensure	ensure	VERB
aiti-11568	148	16	its	its	PRON
aiti-11568	148	17	continued	continue	VERB
aiti-11568	148	18	accuracy	accuracy	NOUN
aiti-11568	148	19	and	and	CCONJ
aiti-11568	148	20	relevance	relevance	NOUN
aiti-11568	148	21	in	in	ADP
aiti-11568	148	22	classifying	classify	VERB
aiti-11568	148	23	tomato	tomato	NOUN
aiti-11568	148	24	leaf	leaf	NOUN
aiti-11568	148	25	diseases	disease	NOUN
aiti-11568	148	26	.	.	PUNCT
aiti-11568	149	1	3.1	3.1	NUM
aiti-11568	149	2	.	.	PUNCT
aiti-11568	149	3	overall	overall	ADJ
aiti-11568	149	4	workflow	workflow	NOUN
aiti-11568	149	5	fig	fig	NOUN
aiti-11568	149	6	.	.	PUNCT
aiti-11568	150	1	1	1	NUM
aiti-11568	150	2	shows	show	VERB
aiti-11568	150	3	the	the	DET
aiti-11568	150	4	process	process	NOUN
aiti-11568	150	5	of	of	ADP
aiti-11568	150	6	performing	perform	VERB
aiti-11568	150	7	machine	machine	NOUN
aiti-11568	150	8	learning	learning	NOUN
aiti-11568	150	9	and	and	CCONJ
aiti-11568	150	10	leaf	leaf	NOUN
aiti-11568	150	11	classification	classification	NOUN
aiti-11568	150	12	in	in	ADP
aiti-11568	150	13	tomato	tomato	NOUN
aiti-11568	150	14	plants	plant	NOUN
aiti-11568	150	15	in	in	ADP
aiti-11568	150	16	8	8	NUM
aiti-11568	150	17	steps	step	NOUN
aiti-11568	150	18	.	.	PUNCT
aiti-11568	151	1	the	the	DET
aiti-11568	151	2	following	follow	VERB
aiti-11568	151	3	steps	step	NOUN
aiti-11568	151	4	will	will	AUX
aiti-11568	151	5	be	be	AUX
aiti-11568	151	6	shown	show	VERB
aiti-11568	151	7	in	in	ADP
aiti-11568	151	8	the	the	DET
aiti-11568	151	9	order	order	NOUN
aiti-11568	151	10	of	of	ADP
aiti-11568	151	11	arrows	arrow	NOUN
aiti-11568	151	12	from	from	ADP
aiti-11568	151	13	the	the	DET
aiti-11568	151	14	“	"	PUNCT
aiti-11568	151	15	start	start	NOUN
aiti-11568	151	16	”	"	PUNCT
aiti-11568	151	17	button	button	NOUN
aiti-11568	151	18	to	to	ADP
aiti-11568	151	19	the	the	DET
aiti-11568	151	20	sequential	sequential	ADJ
aiti-11568	151	21	steps	step	NOUN
aiti-11568	151	22	from	from	ADP
aiti-11568	151	23	1	1	NUM
aiti-11568	151	24	to	to	ADP
aiti-11568	151	25	8	8	NUM
aiti-11568	151	26	,	,	PUNCT
aiti-11568	151	27	and	and	CCONJ
aiti-11568	151	28	finally	finally	ADV
aiti-11568	151	29	the	the	DET
aiti-11568	151	30	end	end	NOUN
aiti-11568	151	31	of	of	ADP
aiti-11568	151	32	the	the	DET
aiti-11568	151	33	flow	flow	NOUN
aiti-11568	151	34	.	.	PUNCT
aiti-11568	152	1	the	the	DET
aiti-11568	152	2	machine	machine	NOUN
aiti-11568	152	3	learning	learn	VERB
aiti-11568	152	4	model	model	NOUN
aiti-11568	152	5	uses	use	VERB
aiti-11568	152	6	a	a	DET
aiti-11568	152	7	data	data	NOUN
aiti-11568	152	8	file	file	NOUN
aiti-11568	152	9	containing	contain	VERB
aiti-11568	152	10	four	four	NUM
aiti-11568	152	11	picture	picture	NOUN
aiti-11568	152	12	files	file	NOUN
aiti-11568	152	13	of	of	ADP
aiti-11568	152	14	tomato	tomato	NOUN
aiti-11568	152	15	leaves	leave	NOUN
aiti-11568	152	16	categorized	categorize	VERB
aiti-11568	152	17	by	by	ADP
aiti-11568	152	18	name	name	NOUN
aiti-11568	152	19	to	to	PART
aiti-11568	152	20	prepare	prepare	VERB
aiti-11568	152	21	and	and	CCONJ
aiti-11568	152	22	perform	perform	VERB
aiti-11568	152	23	training	training	NOUN
aiti-11568	152	24	.	.	PUNCT
aiti-11568	153	1	1	1	X
aiti-11568	153	2	.	.	X
aiti-11568	153	3	the	the	DET
aiti-11568	153	4	first	first	ADJ
aiti-11568	153	5	stage	stage	NOUN
aiti-11568	153	6	in	in	ADP
aiti-11568	153	7	this	this	DET
aiti-11568	153	8	process	process	NOUN
aiti-11568	153	9	is	be	AUX
aiti-11568	153	10	to	to	PART
aiti-11568	153	11	gather	gather	VERB
aiti-11568	153	12	data	datum	NOUN
aiti-11568	153	13	.	.	PUNCT
aiti-11568	154	1	this	this	DET
aiti-11568	154	2	information	information	NOUN
aiti-11568	154	3	was	be	AUX
aiti-11568	154	4	gathered	gather	VERB
aiti-11568	154	5	from	from	ADP
aiti-11568	154	6	the	the	DET
aiti-11568	154	7	plantvillage	plantvillage	NOUN
aiti-11568	154	8	dataset	dataset	PROPN
aiti-11568	154	9	†	†	PROPN
aiti-11568	154	10	file	file	NOUN
aiti-11568	154	11	submitted	submit	VERB
aiti-11568	154	12	by	by	ADP
aiti-11568	154	13	the	the	DET
aiti-11568	154	14	author	author	NOUN
aiti-11568	154	15	charu	charu	PROPN
aiti-11568	154	16	,	,	PUNCT
aiti-11568	154	17	who	who	PRON
aiti-11568	154	18	is	be	AUX
aiti-11568	154	19	a	a	DET
aiti-11568	154	20	user	user	NOUN
aiti-11568	154	21	of	of	ADP
aiti-11568	154	22	the	the	DET
aiti-11568	154	23	kaggle	kaggle	ADJ
aiti-11568	154	24	application	application	NOUN
aiti-11568	154	25	.	.	PUNCT
aiti-11568	155	1	this	this	DET
aiti-11568	155	2	data	datum	NOUN
aiti-11568	155	3	set	set	VERB
aiti-11568	155	4	was	be	AUX
aiti-11568	155	5	gathered	gather	VERB
aiti-11568	155	6	from	from	ADP
aiti-11568	155	7	a	a	DET
aiti-11568	155	8	group	group	NOUN
aiti-11568	155	9	of	of	ADP
aiti-11568	155	10	tomato	tomato	NOUN
aiti-11568	155	11	plants	plant	NOUN
aiti-11568	155	12	cultivated	cultivate	VERB
aiti-11568	155	13	together	together	ADV
aiti-11568	155	14	.	.	PUNCT
aiti-11568	156	1	the	the	DET
aiti-11568	156	2	data	datum	NOUN
aiti-11568	156	3	set	set	NOUN
aiti-11568	156	4	contains	contain	VERB
aiti-11568	156	5	14,529	14,529	NUM
aiti-11568	156	6	jpg	jpg	NOUN
aiti-11568	156	7	photos	photo	NOUN
aiti-11568	156	8	with	with	ADP
aiti-11568	156	9	a	a	DET
aiti-11568	156	10	pixel	pixel	ADJ
aiti-11568	156	11	size	size	NOUN
aiti-11568	156	12	of	of	ADP
aiti-11568	156	13	256	256	NUM
aiti-11568	156	14	px	px	NOUN
aiti-11568	156	15	.	.	PUNCT
aiti-11568	157	1	the	the	DET
aiti-11568	157	2	authors	author	NOUN
aiti-11568	157	3	collected	collect	VERB
aiti-11568	157	4	three	three	NUM
aiti-11568	157	5	disease	disease	NOUN
aiti-11568	157	6	samples	sample	NOUN
aiti-11568	157	7	and	and	CCONJ
aiti-11568	157	8	one	one	NUM
aiti-11568	157	9	healthy	healthy	ADJ
aiti-11568	157	10	sample	sample	NOUN
aiti-11568	157	11	for	for	ADP
aiti-11568	157	12	2,064	2,064	NUM
aiti-11568	157	13	pictures	picture	NOUN
aiti-11568	157	14	split	split	VERB
aiti-11568	157	15	into	into	ADP
aiti-11568	157	16	four	four	NUM
aiti-11568	157	17	categories	category	NOUN
aiti-11568	157	18	:	:	PUNCT
aiti-11568	157	19	early	early	ADJ
aiti-11568	157	20	blight	blight	NOUN
aiti-11568	157	21	,	,	PUNCT
aiti-11568	157	22	septoria	septoria	ADJ
aiti-11568	157	23	,	,	PUNCT
aiti-11568	157	24	yellow	yellow	ADJ
aiti-11568	157	25	curl	curl	NOUN
aiti-11568	157	26	,	,	PUNCT
aiti-11568	157	27	and	and	CCONJ
aiti-11568	157	28	healthy	healthy	ADJ
aiti-11568	157	29	.	.	PUNCT
aiti-11568	158	1	†	†	PROPN
aiti-11568	158	2	plantvillage	plantvillage	NOUN
aiti-11568	158	3	tomato	tomato	NOUN
aiti-11568	158	4	leaf	leaf	NOUN
aiti-11568	158	5	dataset	dataset	NOUN
aiti-11568	158	6	:	:	PUNCT
aiti-11568	158	7	https://www.kaggle.com/datasets/charuchaudhry/plantvillage-tomato-leaf-dataset	https://www.kaggle.com/datasets/charuchaudhry/plantvillage-tomato-leaf-dataset	NOUN
aiti-11568	158	8	advances	advance	NOUN
aiti-11568	158	9	in	in	ADP
aiti-11568	158	10	technology	technology	NOUN
aiti-11568	158	11	innovation	innovation	NOUN
aiti-11568	158	12	,	,	PUNCT
aiti-11568	158	13	vol	vol	NOUN
aiti-11568	158	14	.	.	PROPN
aiti-11568	158	15	8	8	NUM
aiti-11568	158	16	,	,	PUNCT
aiti-11568	158	17	no	no	INTJ
aiti-11568	158	18	.	.	NOUN
aiti-11568	158	19	3	3	NUM
aiti-11568	158	20	,	,	PUNCT
aiti-11568	158	21	2023	2023	NUM
aiti-11568	158	22	,	,	PUNCT
aiti-11568	158	23	pp	pp	ADJ
aiti-11568	158	24	.	.	PUNCT
aiti-11568	159	1	192	192	NUM
aiti-11568	159	2	-	-	SYM
aiti-11568	159	3	209	209	NUM
aiti-11568	159	4	196	196	NUM
aiti-11568	159	5	2	2	NUM
aiti-11568	159	6	.	.	PUNCT
aiti-11568	160	1	researchers	researcher	NOUN
aiti-11568	160	2	started	start	VERB
aiti-11568	160	3	to	to	PART
aiti-11568	160	4	perform	perform	VERB
aiti-11568	160	5	image	image	NOUN
aiti-11568	160	6	discrimination	discrimination	NOUN
aiti-11568	160	7	of	of	ADP
aiti-11568	160	8	tomato	tomato	NOUN
aiti-11568	160	9	leaves	leave	NOUN
aiti-11568	160	10	,	,	PUNCT
aiti-11568	160	11	in	in	ADP
aiti-11568	160	12	which	which	PRON
aiti-11568	160	13	there	there	PRON
aiti-11568	160	14	can	can	AUX
aiti-11568	160	15	be	be	AUX
aiti-11568	160	16	three	three	NUM
aiti-11568	160	17	diseases	disease	NOUN
aiti-11568	160	18	and	and	CCONJ
aiti-11568	160	19	one	one	NUM
aiti-11568	160	20	healthy	healthy	ADJ
aiti-11568	160	21	type	type	NOUN
aiti-11568	160	22	.	.	PUNCT
aiti-11568	161	1	one	one	NUM
aiti-11568	161	2	of	of	ADP
aiti-11568	161	3	the	the	DET
aiti-11568	161	4	members	member	NOUN
aiti-11568	161	5	used	use	VERB
aiti-11568	161	6	five	five	NUM
aiti-11568	161	7	well	well	ADV
aiti-11568	161	8	-	-	PUNCT
aiti-11568	161	9	known	know	VERB
aiti-11568	161	10	cnn	cnn	PROPN
aiti-11568	161	11	architectures	architecture	NOUN
aiti-11568	161	12	(	(	PUNCT
aiti-11568	161	13	mobilenet	mobilenet	NOUN
aiti-11568	161	14	,	,	PUNCT
aiti-11568	161	15	densenet	densenet	NOUN
aiti-11568	161	16	,	,	PUNCT
aiti-11568	161	17	vgg16	vgg16	PROPN
aiti-11568	161	18	,	,	PUNCT
aiti-11568	161	19	vgg19	vgg19	PROPN
aiti-11568	161	20	,	,	PUNCT
aiti-11568	161	21	and	and	CCONJ
aiti-11568	161	22	xception	xception	NOUN
aiti-11568	161	23	)	)	PUNCT
aiti-11568	161	24	to	to	PART
aiti-11568	161	25	analyze	analyze	VERB
aiti-11568	161	26	and	and	CCONJ
aiti-11568	161	27	compare	compare	VERB
aiti-11568	161	28	training	training	NOUN
aiti-11568	161	29	and	and	CCONJ
aiti-11568	161	30	testing	test	VERB
aiti-11568	161	31	outcomes	outcome	NOUN
aiti-11568	161	32	for	for	ADP
aiti-11568	161	33	four	four	NUM
aiti-11568	161	34	types	type	NOUN
aiti-11568	161	35	of	of	ADP
aiti-11568	161	36	image	image	NOUN
aiti-11568	161	37	recognition	recognition	NOUN
aiti-11568	161	38	,	,	PUNCT
aiti-11568	161	39	as	as	SCONJ
aiti-11568	161	40	described	describe	VERB
aiti-11568	161	41	above	above	ADV
aiti-11568	161	42	.	.	PUNCT
aiti-11568	162	1	the	the	DET
aiti-11568	162	2	authors	author	NOUN
aiti-11568	162	3	involve	involve	VERB
aiti-11568	162	4	partitioning	partition	VERB
aiti-11568	162	5	the	the	DET
aiti-11568	162	6	data	datum	NOUN
aiti-11568	162	7	set	set	VERB
aiti-11568	162	8	.	.	PUNCT
aiti-11568	163	1	the	the	DET
aiti-11568	163	2	obtained	obtain	VERB
aiti-11568	163	3	data	datum	NOUN
aiti-11568	163	4	is	be	AUX
aiti-11568	163	5	separated	separate	VERB
aiti-11568	163	6	into	into	ADP
aiti-11568	163	7	training	training	NOUN
aiti-11568	163	8	,	,	PUNCT
aiti-11568	163	9	validation	validation	NOUN
aiti-11568	163	10	,	,	PUNCT
aiti-11568	163	11	and	and	CCONJ
aiti-11568	163	12	testing	testing	NOUN
aiti-11568	163	13	.	.	PUNCT
aiti-11568	164	1	specifically	specifically	ADV
aiti-11568	164	2	,	,	PUNCT
aiti-11568	164	3	this	this	DET
aiti-11568	164	4	division	division	NOUN
aiti-11568	164	5	is	be	AUX
aiti-11568	164	6	done	do	VERB
aiti-11568	164	7	in	in	ADP
aiti-11568	164	8	the	the	DET
aiti-11568	164	9	ratio	ratio	NOUN
aiti-11568	164	10	of	of	ADP
aiti-11568	164	11	60	60	NUM
aiti-11568	164	12	%	%	NOUN
aiti-11568	164	13	of	of	ADP
aiti-11568	164	14	the	the	DET
aiti-11568	164	15	photos	photo	NOUN
aiti-11568	164	16	used	use	VERB
aiti-11568	164	17	for	for	ADP
aiti-11568	164	18	training	training	NOUN
aiti-11568	164	19	,	,	PUNCT
aiti-11568	164	20	20	20	NUM
aiti-11568	164	21	%	%	NOUN
aiti-11568	164	22	for	for	ADP
aiti-11568	164	23	evaluating	evaluating	NOUN
aiti-11568	164	24	,	,	PUNCT
aiti-11568	164	25	and	and	CCONJ
aiti-11568	164	26	20	20	NUM
aiti-11568	164	27	%	%	NOUN
aiti-11568	164	28	to	to	PART
aiti-11568	164	29	test	test	VERB
aiti-11568	164	30	the	the	DET
aiti-11568	164	31	model	model	NOUN
aiti-11568	164	32	’s	’s	PART
aiti-11568	164	33	correctness	correctness	NOUN
aiti-11568	164	34	.	.	PUNCT
aiti-11568	165	1	3	3	X
aiti-11568	165	2	.	.	X
aiti-11568	165	3	in	in	ADP
aiti-11568	165	4	the	the	DET
aiti-11568	165	5	following	follow	VERB
aiti-11568	165	6	stage	stage	NOUN
aiti-11568	165	7	,	,	PUNCT
aiti-11568	165	8	the	the	DET
aiti-11568	165	9	authors	author	NOUN
aiti-11568	165	10	use	use	VERB
aiti-11568	165	11	several	several	ADJ
aiti-11568	165	12	mobilenet	mobilenet	NOUN
aiti-11568	165	13	models	model	NOUN
aiti-11568	165	14	and	and	CCONJ
aiti-11568	165	15	other	other	ADJ
aiti-11568	165	16	cnns	cnn	NOUN
aiti-11568	165	17	to	to	PART
aiti-11568	165	18	detect	detect	VERB
aiti-11568	165	19	and	and	CCONJ
aiti-11568	165	20	classify	classify	VERB
aiti-11568	165	21	each	each	DET
aiti-11568	165	22	tomato	tomato	NOUN
aiti-11568	165	23	plant	plant	NOUN
aiti-11568	165	24	leaf	leaf	NOUN
aiti-11568	165	25	illness	illness	NOUN
aiti-11568	165	26	as	as	ADP
aiti-11568	165	27	transfer	transfer	NOUN
aiti-11568	165	28	learning	learning	NOUN
aiti-11568	165	29	models	model	NOUN
aiti-11568	165	30	.	.	PUNCT
aiti-11568	166	1	4	4	X
aiti-11568	166	2	.	.	X
aiti-11568	166	3	the	the	DET
aiti-11568	166	4	authors	author	NOUN
aiti-11568	166	5	improve	improve	VERB
aiti-11568	166	6	the	the	DET
aiti-11568	166	7	hyperparameters	hyperparameter	NOUN
aiti-11568	166	8	(	(	PUNCT
aiti-11568	166	9	including	include	VERB
aiti-11568	166	10	epoch	epoch	NOUN
aiti-11568	166	11	,	,	PUNCT
aiti-11568	166	12	learning	learn	VERB
aiti-11568	166	13	rate	rate	NOUN
aiti-11568	166	14	,	,	PUNCT
aiti-11568	166	15	batch	batch	NOUN
aiti-11568	166	16	size	size	NOUN
aiti-11568	166	17	,	,	PUNCT
aiti-11568	166	18	patch	patch	NOUN
aiti-11568	166	19	size	size	NOUN
aiti-11568	166	20	,	,	PUNCT
aiti-11568	166	21	weight	weight	NOUN
aiti-11568	166	22	decay	decay	NOUN
aiti-11568	166	23	,	,	PUNCT
aiti-11568	166	24	etc	etc	X
aiti-11568	166	25	.	.	X
aiti-11568	166	26	)	)	PUNCT
aiti-11568	166	27	,	,	PUNCT
aiti-11568	166	28	volume	volume	NOUN
aiti-11568	166	29	,	,	PUNCT
aiti-11568	166	30	project	project	NOUN
aiti-11568	166	31	opacity	opacity	NOUN
aiti-11568	166	32	,	,	PUNCT
aiti-11568	166	33	numeric	numeric	ADJ
aiti-11568	166	34	header	header	NOUN
aiti-11568	166	35	,	,	PUNCT
aiti-11568	166	36	and	and	CCONJ
aiti-11568	166	37	transform	transform	VERB
aiti-11568	166	38	layers	layer	NOUN
aiti-11568	166	39	and	and	CCONJ
aiti-11568	166	40	add	add	VERB
aiti-11568	166	41	specific	specific	ADJ
aiti-11568	166	42	layers	layer	NOUN
aiti-11568	166	43	to	to	PART
aiti-11568	166	44	optimize	optimize	VERB
aiti-11568	166	45	for	for	ADP
aiti-11568	166	46	dl	dl	PROPN
aiti-11568	166	47	models	model	NOUN
aiti-11568	166	48	and	and	CCONJ
aiti-11568	166	49	get	get	VERB
aiti-11568	166	50	the	the	DET
aiti-11568	166	51	best	good	ADJ
aiti-11568	166	52	prediction	prediction	NOUN
aiti-11568	166	53	results	result	NOUN
aiti-11568	166	54	.	.	PUNCT
aiti-11568	167	1	5	5	X
aiti-11568	167	2	.	.	PUNCT
aiti-11568	167	3	the	the	DET
aiti-11568	167	4	authors	author	NOUN
aiti-11568	167	5	retrain	retrain	VERB
aiti-11568	167	6	using	use	VERB
aiti-11568	167	7	the	the	DET
aiti-11568	167	8	proposed	propose	VERB
aiti-11568	167	9	mobilenet	mobilenet	NOUN
aiti-11568	167	10	and	and	CCONJ
aiti-11568	167	11	cnn	cnn	PROPN
aiti-11568	167	12	samples	sample	NOUN
aiti-11568	167	13	from	from	ADP
aiti-11568	167	14	the	the	DET
aiti-11568	167	15	previous	previous	ADJ
aiti-11568	167	16	stage	stage	NOUN
aiti-11568	167	17	’s	’s	PART
aiti-11568	167	18	refinement	refinement	NOUN
aiti-11568	167	19	.	.	PUNCT
aiti-11568	168	1	following	follow	VERB
aiti-11568	168	2	retraining	retrain	VERB
aiti-11568	168	3	,	,	PUNCT
aiti-11568	168	4	the	the	DET
aiti-11568	168	5	next	next	ADJ
aiti-11568	168	6	stage	stage	NOUN
aiti-11568	168	7	is	be	AUX
aiti-11568	168	8	to	to	PART
aiti-11568	168	9	compute	compute	VERB
aiti-11568	168	10	and	and	CCONJ
aiti-11568	168	11	assess	assess	VERB
aiti-11568	168	12	the	the	DET
aiti-11568	168	13	model	model	NOUN
aiti-11568	168	14	’s	’s	PART
aiti-11568	168	15	accuracy	accuracy	NOUN
aiti-11568	168	16	against	against	ADP
aiti-11568	168	17	the	the	DET
aiti-11568	168	18	test	test	NOUN
aiti-11568	168	19	set	set	VERB
aiti-11568	168	20	.	.	PUNCT
aiti-11568	169	1	6	6	X
aiti-11568	169	2	.	.	X
aiti-11568	169	3	validation	validation	NOUN
aiti-11568	169	4	and	and	CCONJ
aiti-11568	169	5	metric	metric	ADJ
aiti-11568	169	6	computation	computation	NOUN
aiti-11568	169	7	:	:	PUNCT
aiti-11568	169	8	they	they	PRON
aiti-11568	169	9	count	count	VERB
aiti-11568	169	10	how	how	SCONJ
aiti-11568	169	11	many	many	ADJ
aiti-11568	169	12	images	image	NOUN
aiti-11568	169	13	were	be	AUX
aiti-11568	169	14	correctly	correctly	ADV
aiti-11568	169	15	classified	classified	ADJ
aiti-11568	169	16	and	and	CCONJ
aiti-11568	169	17	compute	compute	ADJ
aiti-11568	169	18	metrics	metric	NOUN
aiti-11568	169	19	to	to	PART
aiti-11568	169	20	compare	compare	VERB
aiti-11568	169	21	the	the	DET
aiti-11568	169	22	proposed	propose	VERB
aiti-11568	169	23	model	model	NOUN
aiti-11568	169	24	to	to	ADP
aiti-11568	169	25	other	other	PROPN
aiti-11568	169	26	cnn	cnn	PROPN
aiti-11568	169	27	architectures	architecture	NOUN
aiti-11568	169	28	,	,	PUNCT
aiti-11568	169	29	most	most	ADV
aiti-11568	169	30	notably	notably	ADV
aiti-11568	169	31	test	test	NOUN
aiti-11568	169	32	accuracy	accuracy	NOUN
aiti-11568	169	33	and	and	CCONJ
aiti-11568	169	34	f1	f1	NOUN
aiti-11568	169	35	-	-	PUNCT
aiti-11568	169	36	score	score	NOUN
aiti-11568	169	37	results	result	NOUN
aiti-11568	169	38	.	.	PUNCT
aiti-11568	170	1	7	7	X
aiti-11568	170	2	.	.	X
aiti-11568	170	3	the	the	DET
aiti-11568	170	4	authors	author	NOUN
aiti-11568	170	5	need	need	VERB
aiti-11568	170	6	to	to	PART
aiti-11568	170	7	compare	compare	VERB
aiti-11568	170	8	the	the	DET
aiti-11568	170	9	outcomes	outcome	NOUN
aiti-11568	170	10	of	of	ADP
aiti-11568	170	11	the	the	DET
aiti-11568	170	12	cnn	cnn	PROPN
aiti-11568	170	13	models	model	NOUN
aiti-11568	170	14	with	with	ADP
aiti-11568	170	15	the	the	DET
aiti-11568	170	16	suggested	suggest	VERB
aiti-11568	170	17	model	model	NOUN
aiti-11568	170	18	.	.	PUNCT
aiti-11568	171	1	therefore	therefore	ADV
aiti-11568	171	2	,	,	PUNCT
aiti-11568	171	3	after	after	ADP
aiti-11568	171	4	training	training	NOUN
aiti-11568	171	5	,	,	PUNCT
aiti-11568	171	6	validating	validate	VERB
aiti-11568	171	7	,	,	PUNCT
aiti-11568	171	8	and	and	CCONJ
aiti-11568	171	9	testing	test	VERB
aiti-11568	171	10	the	the	DET
aiti-11568	171	11	proposed	propose	VERB
aiti-11568	171	12	model	model	NOUN
aiti-11568	171	13	,	,	PUNCT
aiti-11568	171	14	they	they	PRON
aiti-11568	171	15	compared	compare	VERB
aiti-11568	171	16	the	the	DET
aiti-11568	171	17	results	result	NOUN
aiti-11568	171	18	to	to	ADP
aiti-11568	171	19	original	original	ADJ
aiti-11568	171	20	cnn	cnn	PROPN
aiti-11568	171	21	architectures	architecture	NOUN
aiti-11568	171	22	like	like	ADP
aiti-11568	171	23	vgg16	vgg16	NOUN
aiti-11568	171	24	[	[	NOUN
aiti-11568	171	25	22	22	NUM
aiti-11568	171	26	]	]	PUNCT
aiti-11568	171	27	,	,	PUNCT
aiti-11568	171	28	vgg19	vgg19	PROPN
aiti-11568	171	29	,	,	PUNCT
aiti-11568	171	30	densenet	densenet	NOUN
aiti-11568	171	31	,	,	PUNCT
aiti-11568	171	32	xception	xception	NOUN
aiti-11568	171	33	,	,	PUNCT
aiti-11568	171	34	and	and	CCONJ
aiti-11568	171	35	mobilenet	mobilenet	NOUN
aiti-11568	172	1	[	[	X
aiti-11568	172	2	23	23	NUM
aiti-11568	172	3	]	]	PUNCT
aiti-11568	172	4	.	.	PUNCT
aiti-11568	173	1	8	8	X
aiti-11568	173	2	.	.	PUNCT
aiti-11568	174	1	the	the	DET
aiti-11568	174	2	final	final	ADJ
aiti-11568	174	3	step	step	NOUN
aiti-11568	174	4	is	be	AUX
aiti-11568	174	5	showing	show	VERB
aiti-11568	174	6	the	the	DET
aiti-11568	174	7	result	result	NOUN
aiti-11568	174	8	.	.	PUNCT
aiti-11568	175	1	after	after	SCONJ
aiti-11568	175	2	the	the	DET
aiti-11568	175	3	data	data	NOUN
aiti-11568	175	4	has	have	AUX
aiti-11568	175	5	been	be	AUX
aiti-11568	175	6	compared	compare	VERB
aiti-11568	175	7	,	,	PUNCT
aiti-11568	175	8	tables	table	NOUN
aiti-11568	175	9	and	and	CCONJ
aiti-11568	175	10	graphs	graph	NOUN
aiti-11568	175	11	will	will	AUX
aiti-11568	175	12	be	be	AUX
aiti-11568	175	13	displayed	display	VERB
aiti-11568	175	14	for	for	ADP
aiti-11568	175	15	comparison	comparison	NOUN
aiti-11568	175	16	.	.	PUNCT
aiti-11568	176	1	fig	fig	NOUN
aiti-11568	176	2	.	.	PUNCT
aiti-11568	177	1	1	1	NUM
aiti-11568	177	2	implementation	implementation	NOUN
aiti-11568	177	3	process	process	NOUN
aiti-11568	177	4	flow	flow	NOUN
aiti-11568	177	5	table	table	NOUN
aiti-11568	177	6	1	1	NUM
aiti-11568	177	7	shows	show	VERB
aiti-11568	177	8	cnn	cnn	PROPN
aiti-11568	177	9	models	model	NOUN
aiti-11568	177	10	which	which	PRON
aiti-11568	177	11	are	be	AUX
aiti-11568	177	12	used	use	VERB
aiti-11568	177	13	to	to	PART
aiti-11568	177	14	prepare	prepare	VERB
aiti-11568	177	15	for	for	ADP
aiti-11568	177	16	the	the	DET
aiti-11568	177	17	training	training	NOUN
aiti-11568	177	18	.	.	PUNCT
aiti-11568	178	1	there	there	PRON
aiti-11568	178	2	are	be	VERB
aiti-11568	178	3	many	many	ADJ
aiti-11568	178	4	cnn	cnn	PROPN
aiti-11568	178	5	models	model	NOUN
aiti-11568	178	6	provided	provide	VERB
aiti-11568	178	7	,	,	PUNCT
aiti-11568	178	8	but	but	CCONJ
aiti-11568	178	9	the	the	DET
aiti-11568	178	10	models	model	NOUN
aiti-11568	178	11	are	be	AUX
aiti-11568	178	12	selected	select	VERB
aiti-11568	178	13	because	because	SCONJ
aiti-11568	178	14	of	of	ADP
aiti-11568	178	15	the	the	DET
aiti-11568	178	16	high	high	ADJ
aiti-11568	178	17	results	result	NOUN
aiti-11568	178	18	in	in	ADP
aiti-11568	178	19	the	the	DET
aiti-11568	178	20	training	training	NOUN
aiti-11568	178	21	process	process	NOUN
aiti-11568	178	22	.	.	PUNCT
aiti-11568	179	1	the	the	DET
aiti-11568	179	2	table	table	NOUN
aiti-11568	179	3	reveals	reveal	VERB
aiti-11568	179	4	the	the	DET
aiti-11568	179	5	pros	pro	NOUN
aiti-11568	179	6	and	and	CCONJ
aiti-11568	179	7	cons	con	NOUN
aiti-11568	179	8	of	of	ADP
aiti-11568	179	9	each	each	DET
aiti-11568	179	10	model	model	NOUN
aiti-11568	179	11	.	.	PUNCT
aiti-11568	180	1	in	in	ADP
aiti-11568	180	2	addition	addition	NOUN
aiti-11568	180	3	,	,	PUNCT
aiti-11568	180	4	the	the	DET
aiti-11568	180	5	parameter	parameter	NOUN
aiti-11568	180	6	part	part	NOUN
aiti-11568	180	7	shows	show	VERB
aiti-11568	180	8	the	the	DET
aiti-11568	180	9	popularity	popularity	NOUN
aiti-11568	180	10	and	and	CCONJ
aiti-11568	180	11	usage	usage	NOUN
aiti-11568	180	12	of	of	ADP
aiti-11568	180	13	that	that	DET
aiti-11568	180	14	model	model	NOUN
aiti-11568	180	15	based	base	VERB
aiti-11568	180	16	on	on	ADP
aiti-11568	180	17	keras	keras	PROPN
aiti-11568	180	18	’s	’s	PART
aiti-11568	180	19	statistics	statistic	NOUN
aiti-11568	180	20	.	.	PUNCT
aiti-11568	181	1	table	table	NOUN
aiti-11568	181	2	1	1	NUM
aiti-11568	181	3	list	list	NOUN
aiti-11568	181	4	of	of	ADP
aiti-11568	181	5	deep	deep	ADJ
aiti-11568	181	6	learning	learning	NOUN
aiti-11568	181	7	models	model	NOUN
aiti-11568	181	8	deep	deep	ADJ
aiti-11568	181	9	learning	learning	NOUN
aiti-11568	181	10	model	model	NOUN
aiti-11568	181	11	#	#	ADP
aiti-11568	181	12	parameters	parameter	NOUN
aiti-11568	181	13	key	key	ADJ
aiti-11568	181	14	features	feature	NOUN
aiti-11568	181	15	with	with	ADP
aiti-11568	181	16	pros	pro	NOUN
aiti-11568	181	17	and	and	CCONJ
aiti-11568	181	18	cons	con	NOUN
aiti-11568	181	19	vgg16	vgg16	VERB
aiti-11568	181	20	138.4	138.4	NUM
aiti-11568	181	21	m	m	NOUN
aiti-11568	181	22	popular	popular	ADJ
aiti-11568	181	23	,	,	PUNCT
aiti-11568	181	24	lightweight	lightweight	ADJ
aiti-11568	181	25	,	,	PUNCT
aiti-11568	181	26	and	and	CCONJ
aiti-11568	181	27	easy	easy	ADJ
aiti-11568	181	28	to	to	PART
aiti-11568	181	29	use	use	VERB
aiti-11568	181	30	with	with	ADP
aiti-11568	181	31	high	high	ADJ
aiti-11568	181	32	accuracy	accuracy	NOUN
aiti-11568	181	33	.	.	PUNCT
aiti-11568	182	1	vgg19	vgg19	VERB
aiti-11568	182	2	143.7	143.7	NUM
aiti-11568	182	3	m	m	NOUN
aiti-11568	182	4	similarity	similarity	NOUN
aiti-11568	182	5	to	to	PART
aiti-11568	182	6	vgg16	vgg16	VERB
aiti-11568	182	7	but	but	CCONJ
aiti-11568	182	8	with	with	ADP
aiti-11568	182	9	19	19	NUM
aiti-11568	182	10	layers	layer	NOUN
aiti-11568	182	11	deep	deep	ADJ
aiti-11568	182	12	.	.	PUNCT
aiti-11568	183	1	high	high	ADJ
aiti-11568	183	2	accuracy	accuracy	NOUN
aiti-11568	183	3	and	and	CCONJ
aiti-11568	183	4	great	great	ADJ
aiti-11568	183	5	understanding	understanding	NOUN
aiti-11568	183	6	of	of	ADP
aiti-11568	183	7	shape	shape	NOUN
aiti-11568	183	8	,	,	PUNCT
aiti-11568	183	9	color	color	NOUN
aiti-11568	183	10	,	,	PUNCT
aiti-11568	183	11	and	and	CCONJ
aiti-11568	183	12	structure	structure	NOUN
aiti-11568	183	13	.	.	PUNCT
aiti-11568	184	1	mobilenet	mobilenet	NOUN
aiti-11568	184	2	4.3	4.3	NUM
aiti-11568	184	3	m	m	VERB
aiti-11568	184	4	consider	consider	VERB
aiti-11568	184	5	the	the	DET
aiti-11568	184	6	depth	depth	NOUN
aiti-11568	184	7	-	-	PUNCT
aiti-11568	184	8	wise	wise	ADJ
aiti-11568	184	9	separable	separable	ADJ
aiti-11568	184	10	convolution	convolution	NOUN
aiti-11568	184	11	concept	concept	NOUN
aiti-11568	184	12	.	.	PUNCT
aiti-11568	185	1	reduced	reduce	VERB
aiti-11568	185	2	parameters	parameter	NOUN
aiti-11568	185	3	significantly	significantly	ADV
aiti-11568	185	4	.	.	PUNCT
aiti-11568	186	1	xception	xception	NOUN
aiti-11568	186	2	22.9	22.9	NUM
aiti-11568	186	3	m	m	PROPN
aiti-11568	186	4	a	a	DET
aiti-11568	186	5	depth	depth	NOUN
aiti-11568	186	6	-	-	PUNCT
aiti-11568	186	7	wise	wise	ADJ
aiti-11568	186	8	separable	separable	ADJ
aiti-11568	186	9	convolution	convolution	NOUN
aiti-11568	186	10	approach	approach	NOUN
aiti-11568	186	11	.	.	PUNCT
aiti-11568	187	1	densenet201	densenet201	PROPN
aiti-11568	187	2	20.2	20.2	NUM
aiti-11568	187	3	m	m	NUM
aiti-11568	187	4	dense	dense	ADJ
aiti-11568	187	5	connections	connection	NOUN
aiti-11568	187	6	between	between	ADP
aiti-11568	187	7	the	the	DET
aiti-11568	187	8	layers	layer	NOUN
aiti-11568	187	9	.	.	PUNCT
aiti-11568	188	1	reduced	reduced	ADJ
aiti-11568	188	2	number	number	NOUN
aiti-11568	188	3	of	of	ADP
aiti-11568	188	4	parameters	parameter	NOUN
aiti-11568	188	5	with	with	ADP
aiti-11568	188	6	better	well	ADJ
aiti-11568	188	7	accuracy	accuracy	NOUN
aiti-11568	188	8	.	.	PUNCT
aiti-11568	189	1	advances	advance	NOUN
aiti-11568	189	2	in	in	ADP
aiti-11568	189	3	technology	technology	NOUN
aiti-11568	189	4	innovation	innovation	NOUN
aiti-11568	189	5	,	,	PUNCT
aiti-11568	189	6	vol	vol	NOUN
aiti-11568	189	7	.	.	PROPN
aiti-11568	189	8	8	8	NUM
aiti-11568	189	9	,	,	PUNCT
aiti-11568	189	10	no	no	INTJ
aiti-11568	189	11	.	.	NOUN
aiti-11568	189	12	3	3	NUM
aiti-11568	189	13	,	,	PUNCT
aiti-11568	189	14	2023	2023	NUM
aiti-11568	189	15	,	,	PUNCT
aiti-11568	189	16	pp	pp	ADJ
aiti-11568	189	17	.	.	PUNCT
aiti-11568	190	1	192	192	NUM
aiti-11568	190	2	-	-	SYM
aiti-11568	190	3	209	209	NUM
aiti-11568	190	4	197	197	NUM
aiti-11568	190	5	3.2	3.2	NUM
aiti-11568	190	6	.	.	PUNCT
aiti-11568	191	1	dataset	dataset	VERB
aiti-11568	191	2	the	the	DET
aiti-11568	191	3	tomato	tomato	NOUN
aiti-11568	191	4	leaf	leaf	NOUN
aiti-11568	191	5	disease	disease	NOUN
aiti-11568	191	6	dataset	dataset	NOUN
aiti-11568	191	7	is	be	AUX
aiti-11568	191	8	collected	collect	VERB
aiti-11568	191	9	from	from	ADP
aiti-11568	191	10	the	the	DET
aiti-11568	191	11	open	open	ADJ
aiti-11568	191	12	source	source	NOUN
aiti-11568	191	13	kaggle	kaggle	NOUN
aiti-11568	191	14	platform	platform	NOUN
aiti-11568	191	15	,	,	PUNCT
aiti-11568	191	16	the	the	DET
aiti-11568	191	17	folder	folder	NOUN
aiti-11568	191	18	named	name	VERB
aiti-11568	191	19	plantvillage	plantvillage	NOUN
aiti-11568	191	20	,	,	PUNCT
aiti-11568	191	21	including	include	VERB
aiti-11568	191	22	2,064	2,064	NUM
aiti-11568	191	23	images	image	NOUN
aiti-11568	191	24	taken	take	VERB
aiti-11568	191	25	corresponding	correspond	VERB
aiti-11568	191	26	to	to	ADP
aiti-11568	191	27	3	3	NUM
aiti-11568	191	28	diseases	disease	NOUN
aiti-11568	191	29	and	and	CCONJ
aiti-11568	191	30	one	one	NUM
aiti-11568	191	31	healthy	healthy	ADJ
aiti-11568	191	32	,	,	PUNCT
aiti-11568	191	33	including	include	VERB
aiti-11568	191	34	(	(	PUNCT
aiti-11568	191	35	early	early	ADJ
aiti-11568	191	36	blight	blight	NOUN
aiti-11568	191	37	,	,	PUNCT
aiti-11568	191	38	yellow	yellow	ADJ
aiti-11568	191	39	curl	curl	NOUN
aiti-11568	191	40	,	,	PUNCT
aiti-11568	191	41	septoria	septoria	NOUN
aiti-11568	191	42	,	,	PUNCT
aiti-11568	191	43	and	and	CCONJ
aiti-11568	191	44	healthy	healthy	ADJ
aiti-11568	191	45	)	)	PUNCT
aiti-11568	191	46	.	.	PUNCT
aiti-11568	192	1	the	the	DET
aiti-11568	192	2	data	datum	NOUN
aiti-11568	192	3	set	set	VERB
aiti-11568	192	4	is	be	AUX
aiti-11568	192	5	divided	divide	VERB
aiti-11568	192	6	into	into	ADP
aiti-11568	192	7	three	three	NUM
aiti-11568	192	8	sets	set	NOUN
aiti-11568	192	9	with	with	ADP
aiti-11568	192	10	a	a	DET
aiti-11568	192	11	ratio	ratio	NOUN
aiti-11568	192	12	of	of	ADP
aiti-11568	192	13	60	60	NUM
aiti-11568	192	14	-	-	SYM
aiti-11568	192	15	20	20	NUM
aiti-11568	192	16	-	-	SYM
aiti-11568	192	17	20	20	NUM
aiti-11568	192	18	corresponding	correspond	VERB
aiti-11568	192	19	to	to	ADP
aiti-11568	192	20	the	the	DET
aiti-11568	192	21	training	training	NOUN
aiti-11568	192	22	set	set	NOUN
aiti-11568	192	23	-	-	PUNCT
aiti-11568	192	24	validation	validation	NOUN
aiti-11568	192	25	set	set	NOUN
aiti-11568	192	26	-	-	PUNCT
aiti-11568	192	27	test	test	NOUN
aiti-11568	192	28	set	set	NOUN
aiti-11568	192	29	.	.	PUNCT
aiti-11568	193	1	the	the	DET
aiti-11568	193	2	dataset	dataset	NOUN
aiti-11568	193	3	has	have	VERB
aiti-11568	193	4	an	an	DET
aiti-11568	193	5	individual	individual	ADJ
aiti-11568	193	6	image	image	NOUN
aiti-11568	193	7	size	size	NOUN
aiti-11568	193	8	of	of	ADP
aiti-11568	193	9	256	256	NUM
aiti-11568	193	10	×	×	NOUN
aiti-11568	193	11	256	256	NUM
aiti-11568	193	12	pixels	pixel	NOUN
aiti-11568	193	13	,	,	PUNCT
aiti-11568	193	14	as	as	SCONJ
aiti-11568	193	15	mobilenet	mobilenet	NOUN
aiti-11568	193	16	takes	take	VERB
aiti-11568	193	17	the	the	DET
aiti-11568	193	18	form	form	NOUN
aiti-11568	193	19	of	of	ADP
aiti-11568	193	20	static	static	ADJ
aiti-11568	193	21	square	square	ADJ
aiti-11568	193	22	images	image	NOUN
aiti-11568	193	23	[	[	X
aiti-11568	193	24	21	21	NUM
aiti-11568	193	25	]	]	PUNCT
aiti-11568	193	26	.	.	PUNCT
aiti-11568	194	1	a	a	DET
aiti-11568	194	2	list	list	NOUN
aiti-11568	194	3	of	of	ADP
aiti-11568	194	4	image	image	NOUN
aiti-11568	194	5	numbers	number	NOUN
aiti-11568	194	6	is	be	AUX
aiti-11568	194	7	described	describe	VERB
aiti-11568	194	8	in	in	ADP
aiti-11568	194	9	table	table	NOUN
aiti-11568	194	10	2	2	NUM
aiti-11568	194	11	,	,	PUNCT
aiti-11568	194	12	and	and	CCONJ
aiti-11568	194	13	the	the	DET
aiti-11568	194	14	illustration	illustration	NOUN
aiti-11568	194	15	of	of	ADP
aiti-11568	194	16	the	the	DET
aiti-11568	194	17	leaf	leaf	NOUN
aiti-11568	194	18	image	image	NOUN
aiti-11568	194	19	stands	stand	VERB
aiti-11568	194	20	for	for	ADP
aiti-11568	194	21	the	the	DET
aiti-11568	194	22	leaf	leaf	NOUN
aiti-11568	194	23	status	status	NOUN
aiti-11568	194	24	in	in	ADP
aiti-11568	194	25	fig	fig	NOUN
aiti-11568	194	26	.	.	PUNCT
aiti-11568	195	1	2	2	X
aiti-11568	195	2	.	.	X
aiti-11568	195	3	(	(	PUNCT
aiti-11568	195	4	a	a	X
aiti-11568	195	5	)	)	PUNCT
aiti-11568	195	6	healthy	healthy	ADJ
aiti-11568	195	7	(	(	PUNCT
aiti-11568	195	8	b	b	NOUN
aiti-11568	195	9	)	)	PUNCT
aiti-11568	195	10	early	early	ADJ
aiti-11568	195	11	blight	blight	NOUN
aiti-11568	195	12	(	(	PUNCT
aiti-11568	195	13	c	c	NOUN
aiti-11568	195	14	)	)	PUNCT
aiti-11568	195	15	septoria	septoria	NOUN
aiti-11568	195	16	(	(	PUNCT
aiti-11568	195	17	d	d	NOUN
aiti-11568	195	18	)	)	PUNCT
aiti-11568	195	19	yellow	yellow	ADJ
aiti-11568	195	20	curl	curl	NOUN
aiti-11568	195	21	fig	fig	NOUN
aiti-11568	195	22	.	.	PUNCT
aiti-11568	196	1	2	2	NUM
aiti-11568	196	2	some	some	DET
aiti-11568	196	3	samples	sample	NOUN
aiti-11568	196	4	of	of	ADP
aiti-11568	196	5	each	each	DET
aiti-11568	196	6	status	status	NOUN
aiti-11568	196	7	of	of	ADP
aiti-11568	196	8	the	the	DET
aiti-11568	196	9	tomato	tomato	NOUN
aiti-11568	196	10	leaf	leaf	NOUN
aiti-11568	196	11	before	before	ADP
aiti-11568	196	12	implementing	implement	VERB
aiti-11568	196	13	section	section	NOUN
aiti-11568	196	14	training	training	NOUN
aiti-11568	196	15	,	,	PUNCT
aiti-11568	196	16	the	the	DET
aiti-11568	196	17	authors	author	NOUN
aiti-11568	196	18	pre	pre	VERB
aiti-11568	196	19	-	-	VERB
aiti-11568	196	20	processed	process	VERB
aiti-11568	196	21	the	the	DET
aiti-11568	196	22	image	image	NOUN
aiti-11568	196	23	by	by	ADP
aiti-11568	196	24	visualizing	visualize	VERB
aiti-11568	196	25	,	,	PUNCT
aiti-11568	196	26	dividing	divide	VERB
aiti-11568	196	27	the	the	DET
aiti-11568	196	28	image	image	NOUN
aiti-11568	196	29	size	size	NOUN
aiti-11568	196	30	by	by	ADP
aiti-11568	196	31	255	255	NUM
aiti-11568	196	32	,	,	PUNCT
aiti-11568	196	33	and	and	CCONJ
aiti-11568	196	34	then	then	ADV
aiti-11568	196	35	applying	apply	VERB
aiti-11568	196	36	the	the	DET
aiti-11568	196	37	data	datum	NOUN
aiti-11568	196	38	augmentation	augmentation	NOUN
aiti-11568	196	39	method	method	NOUN
aiti-11568	196	40	to	to	PART
aiti-11568	196	41	generate	generate	VERB
aiti-11568	196	42	more	more	ADJ
aiti-11568	196	43	new	new	ADJ
aiti-11568	196	44	images	image	NOUN
aiti-11568	196	45	.	.	PUNCT
aiti-11568	197	1	data	datum	NOUN
aiti-11568	197	2	augmentation	augmentation	NOUN
aiti-11568	197	3	has	have	VERB
aiti-11568	197	4	seven	seven	NUM
aiti-11568	197	5	techniques	technique	NOUN
aiti-11568	197	6	applied	apply	VERB
aiti-11568	197	7	to	to	PART
aiti-11568	197	8	generate	generate	VERB
aiti-11568	197	9	new	new	ADJ
aiti-11568	197	10	images	image	NOUN
aiti-11568	197	11	,	,	PUNCT
aiti-11568	197	12	including	include	VERB
aiti-11568	197	13	rotation	rotation	NOUN
aiti-11568	197	14	,	,	PUNCT
aiti-11568	197	15	zoom	zoom	NOUN
aiti-11568	197	16	,	,	PUNCT
aiti-11568	197	17	shear	shear	NOUN
aiti-11568	197	18	,	,	PUNCT
aiti-11568	197	19	width	width	ADJ
aiti-11568	197	20	shift	shift	NOUN
aiti-11568	197	21	,	,	PUNCT
aiti-11568	197	22	height	height	NOUN
aiti-11568	197	23	shift	shift	NOUN
aiti-11568	197	24	,	,	PUNCT
aiti-11568	197	25	horizontal	horizontal	ADJ
aiti-11568	197	26	flip	flip	NOUN
aiti-11568	197	27	,	,	PUNCT
aiti-11568	197	28	and	and	CCONJ
aiti-11568	197	29	vertical	vertical	ADJ
aiti-11568	197	30	flip	flip	NOUN
aiti-11568	197	31	.	.	PUNCT
aiti-11568	198	1	after	after	ADP
aiti-11568	198	2	generating	generating	NOUN
aiti-11568	198	3	images	image	NOUN
aiti-11568	198	4	,	,	PUNCT
aiti-11568	198	5	the	the	DET
aiti-11568	198	6	datasets	dataset	NOUN
aiti-11568	198	7	increase	increase	VERB
aiti-11568	198	8	significantly	significantly	ADV
aiti-11568	198	9	,	,	PUNCT
aiti-11568	198	10	twice	twice	ADV
aiti-11568	198	11	as	as	ADV
aiti-11568	198	12	much	much	ADJ
aiti-11568	198	13	as	as	ADP
aiti-11568	198	14	the	the	DET
aiti-11568	198	15	original	original	ADJ
aiti-11568	198	16	dataset	dataset	NOUN
aiti-11568	198	17	,	,	PUNCT
aiti-11568	198	18	and	and	CCONJ
aiti-11568	198	19	the	the	DET
aiti-11568	198	20	difference	difference	NOUN
aiti-11568	198	21	between	between	ADP
aiti-11568	198	22	datasets	dataset	NOUN
aiti-11568	198	23	is	be	AUX
aiti-11568	198	24	low	low	ADJ
aiti-11568	198	25	.	.	PUNCT
aiti-11568	199	1	eligible	eligible	ADJ
aiti-11568	199	2	to	to	PART
aiti-11568	199	3	apply	apply	VERB
aiti-11568	199	4	to	to	ADP
aiti-11568	199	5	model	model	NOUN
aiti-11568	199	6	and	and	CCONJ
aiti-11568	199	7	fine	fine	ADV
aiti-11568	199	8	-	-	PUNCT
aiti-11568	199	9	tuning	tuning	NOUN
aiti-11568	199	10	.	.	PUNCT
aiti-11568	200	1	table	table	NOUN
aiti-11568	200	2	2	2	NUM
aiti-11568	200	3	classes	class	NOUN
aiti-11568	200	4	of	of	ADP
aiti-11568	200	5	tomato	tomato	NOUN
aiti-11568	200	6	’s	’s	PART
aiti-11568	200	7	leaf	leaf	NOUN
aiti-11568	200	8	image	image	NOUN
aiti-11568	200	9	and	and	CCONJ
aiti-11568	200	10	its	its	PRON
aiti-11568	200	11	usage	usage	NOUN
aiti-11568	200	12	in	in	ADP
aiti-11568	200	13	learning	learn	VERB
aiti-11568	200	14	class	class	NOUN
aiti-11568	200	15	category	category	NOUN
aiti-11568	200	16	number	number	NOUN
aiti-11568	200	17	of	of	ADP
aiti-11568	200	18	images	image	NOUN
aiti-11568	200	19	images	image	NOUN
aiti-11568	200	20	after	after	SCONJ
aiti-11568	200	21	data	data	NOUN
aiti-11568	200	22	augmentation	augmentation	NOUN
aiti-11568	200	23	images	image	NOUN
aiti-11568	200	24	used	use	VERB
aiti-11568	200	25	for	for	ADP
aiti-11568	200	26	the	the	DET
aiti-11568	200	27	training	training	NOUN
aiti-11568	200	28	set	set	NOUN
aiti-11568	200	29	(	(	PUNCT
aiti-11568	200	30	60	60	NUM
aiti-11568	200	31	%	%	NOUN
aiti-11568	200	32	)	)	PUNCT
aiti-11568	200	33	images	image	NOUN
aiti-11568	200	34	used	use	VERB
aiti-11568	200	35	for	for	ADP
aiti-11568	200	36	validating	validate	VERB
aiti-11568	200	37	set	set	VERB
aiti-11568	200	38	(	(	PUNCT
aiti-11568	200	39	20	20	NUM
aiti-11568	200	40	%	%	NOUN
aiti-11568	200	41	)	)	PUNCT
aiti-11568	200	42	images	image	NOUN
aiti-11568	200	43	used	use	VERB
aiti-11568	200	44	for	for	ADP
aiti-11568	200	45	the	the	DET
aiti-11568	200	46	testing	testing	NOUN
aiti-11568	200	47	set	set	NOUN
aiti-11568	200	48	(	(	PUNCT
aiti-11568	200	49	20	20	NUM
aiti-11568	200	50	%	%	NOUN
aiti-11568	200	51	)	)	PUNCT
aiti-11568	200	52	early	early	ADV
aiti-11568	200	53	blight	blight	VERB
aiti-11568	200	54	504	504	NUM
aiti-11568	200	55	1008	1008	NUM
aiti-11568	201	1	605	605	NUM
aiti-11568	201	2	201	201	NUM
aiti-11568	201	3	202	202	NUM
aiti-11568	201	4	septoria	septoria	ADJ
aiti-11568	201	5	528	528	NUM
aiti-11568	201	6	1056	1056	NUM
aiti-11568	201	7	633	633	NUM
aiti-11568	201	8	212	212	NUM
aiti-11568	201	9	211	211	NUM
aiti-11568	201	10	yellow	yellow	ADJ
aiti-11568	201	11	curl	curl	NOUN
aiti-11568	201	12	507	507	NUM
aiti-11568	201	13	1014	1014	NUM
aiti-11568	201	14	608	608	NUM
aiti-11568	201	15	202	202	NUM
aiti-11568	201	16	204	204	NUM
aiti-11568	201	17	healthy	healthy	ADJ
aiti-11568	201	18	525	525	NUM
aiti-11568	201	19	1050	1050	NUM
aiti-11568	201	20	630	630	NUM
aiti-11568	201	21	210	210	NUM
aiti-11568	201	22	210	210	NUM
aiti-11568	201	23	total	total	ADJ
aiti-11568	201	24	2064	2064	NUM
aiti-11568	201	25	4128	4128	NUM
aiti-11568	201	26	2476	2476	NUM
aiti-11568	201	27	825	825	NUM
aiti-11568	201	28	827	827	NUM
aiti-11568	201	29	3.3	3.3	NUM
aiti-11568	201	30	.	.	PUNCT
aiti-11568	202	1	the	the	DET
aiti-11568	202	2	proposed	propose	VERB
aiti-11568	202	3	mobilenet	mobilenet	NOUN
aiti-11568	202	4	this	this	DET
aiti-11568	202	5	study	study	NOUN
aiti-11568	202	6	used	use	VERB
aiti-11568	202	7	mobilenet	mobilenet	NOUN
aiti-11568	202	8	transfer	transfer	NOUN
aiti-11568	202	9	learning	learn	VERB
aiti-11568	202	10	techniques	technique	NOUN
aiti-11568	202	11	and	and	CCONJ
aiti-11568	202	12	fine	fine	ADV
aiti-11568	202	13	-	-	PUNCT
aiti-11568	202	14	tuning	tune	VERB
aiti-11568	202	15	methodologies	methodology	NOUN
aiti-11568	202	16	to	to	PART
aiti-11568	202	17	categorize	categorize	VERB
aiti-11568	202	18	color	color	NOUN
aiti-11568	202	19	photos	photo	NOUN
aiti-11568	202	20	under	under	ADP
aiti-11568	202	21	ideal	ideal	ADJ
aiti-11568	202	22	lighting	lighting	NOUN
aiti-11568	202	23	circumstances	circumstance	NOUN
aiti-11568	202	24	,	,	PUNCT
aiti-11568	202	25	including	include	VERB
aiti-11568	202	26	early	early	ADJ
aiti-11568	202	27	blight	blight	NOUN
aiti-11568	202	28	,	,	PUNCT
aiti-11568	202	29	septoria	septoria	ADJ
aiti-11568	202	30	,	,	PUNCT
aiti-11568	202	31	yellow	yellow	ADJ
aiti-11568	202	32	curl	curl	NOUN
aiti-11568	202	33	,	,	PUNCT
aiti-11568	202	34	and	and	CCONJ
aiti-11568	202	35	healthy	healthy	ADJ
aiti-11568	202	36	leaves	leave	NOUN
aiti-11568	202	37	.	.	PUNCT
aiti-11568	203	1	as	as	SCONJ
aiti-11568	203	2	revealed	reveal	VERB
aiti-11568	203	3	in	in	ADP
aiti-11568	203	4	fig	fig	NOUN
aiti-11568	203	5	.	.	PUNCT
aiti-11568	204	1	3	3	NUM
aiti-11568	204	2	,	,	PUNCT
aiti-11568	204	3	the	the	DET
aiti-11568	204	4	mobilenet	mobilenet	NOUN
aiti-11568	204	5	employs	employ	VERB
aiti-11568	204	6	depthwise	depthwise	NOUN
aiti-11568	204	7	separable	separable	ADJ
aiti-11568	204	8	convolution	convolution	NOUN
aiti-11568	204	9	(	(	PUNCT
aiti-11568	204	10	dsc	dsc	NOUN
aiti-11568	204	11	)	)	PUNCT
aiti-11568	204	12	to	to	PART
aiti-11568	204	13	reduce	reduce	VERB
aiti-11568	204	14	the	the	DET
aiti-11568	204	15	number	number	NOUN
aiti-11568	204	16	of	of	ADP
aiti-11568	204	17	computations	computation	NOUN
aiti-11568	204	18	,	,	PUNCT
aiti-11568	204	19	the	the	DET
aiti-11568	204	20	number	number	NOUN
aiti-11568	204	21	of	of	ADP
aiti-11568	204	22	parameters	parameter	NOUN
aiti-11568	204	23	,	,	PUNCT
aiti-11568	204	24	and	and	CCONJ
aiti-11568	204	25	the	the	DET
aiti-11568	204	26	ability	ability	NOUN
aiti-11568	204	27	to	to	PART
aiti-11568	204	28	perform	perform	VERB
aiti-11568	204	29	feature	feature	NOUN
aiti-11568	204	30	extraction	extraction	NOUN
aiti-11568	204	31	on	on	ADP
aiti-11568	204	32	different	different	ADJ
aiti-11568	204	33	channels	channel	NOUN
aiti-11568	204	34	independently	independently	ADV
aiti-11568	204	35	.	.	PUNCT
aiti-11568	205	1	five	five	NUM
aiti-11568	205	2	popular	popular	ADJ
aiti-11568	205	3	dl	dl	NOUN
aiti-11568	205	4	models	model	NOUN
aiti-11568	205	5	,	,	PUNCT
aiti-11568	205	6	namely	namely	ADV
aiti-11568	205	7	vgg16	vgg16	VERB
aiti-11568	205	8	[	[	NOUN
aiti-11568	205	9	22	22	NUM
aiti-11568	205	10	]	]	PUNCT
aiti-11568	205	11	,	,	PUNCT
aiti-11568	205	12	vgg19	vgg19	PROPN
aiti-11568	205	13	,	,	PUNCT
aiti-11568	205	14	densenet	densenet	NOUN
aiti-11568	205	15	,	,	PUNCT
aiti-11568	205	16	mobilenet	mobilenet	NOUN
aiti-11568	206	1	[	[	X
aiti-11568	206	2	23	23	NUM
aiti-11568	206	3	]	]	PUNCT
aiti-11568	206	4	,	,	PUNCT
aiti-11568	206	5	and	and	CCONJ
aiti-11568	206	6	xception	xception	NOUN
aiti-11568	206	7	,	,	PUNCT
aiti-11568	206	8	were	be	AUX
aiti-11568	206	9	used	use	VERB
aiti-11568	206	10	to	to	PART
aiti-11568	206	11	build	build	VERB
aiti-11568	206	12	an	an	DET
aiti-11568	206	13	accurate	accurate	ADJ
aiti-11568	206	14	automated	automate	VERB
aiti-11568	206	15	model	model	NOUN
aiti-11568	206	16	for	for	ADP
aiti-11568	206	17	general	general	ADJ
aiti-11568	206	18	purpose	purpose	NOUN
aiti-11568	206	19	and	and	CCONJ
aiti-11568	206	20	trained	train	VERB
aiti-11568	206	21	on	on	ADP
aiti-11568	206	22	a	a	DET
aiti-11568	206	23	diverse	diverse	ADJ
aiti-11568	206	24	set	set	NOUN
aiti-11568	206	25	of	of	ADP
aiti-11568	206	26	examples	example	NOUN
aiti-11568	206	27	,	,	PUNCT
aiti-11568	206	28	such	such	ADJ
aiti-11568	206	29	as	as	ADP
aiti-11568	206	30	imagenet	imagenet	NOUN
aiti-11568	206	31	with	with	ADP
aiti-11568	206	32	1000	1000	NUM
aiti-11568	206	33	classes	class	NOUN
aiti-11568	206	34	.	.	PUNCT
aiti-11568	207	1	in	in	ADP
aiti-11568	207	2	addition	addition	NOUN
aiti-11568	207	3	,	,	PUNCT
aiti-11568	207	4	in	in	ADP
aiti-11568	207	5	some	some	DET
aiti-11568	207	6	studies	study	NOUN
aiti-11568	207	7	,	,	PUNCT
aiti-11568	207	8	for	for	ADP
aiti-11568	207	9	example	example	NOUN
aiti-11568	207	10	,	,	PUNCT
aiti-11568	207	11	coulibaly	coulibaly	NOUN
aiti-11568	207	12	et	et	PROPN
aiti-11568	207	13	al	al	PROPN
aiti-11568	207	14	.	.	PUNCT
aiti-11568	208	1	[	[	X
aiti-11568	208	2	18	18	NUM
aiti-11568	208	3	]	]	PUNCT
aiti-11568	208	4	proposed	propose	VERB
aiti-11568	208	5	to	to	PART
aiti-11568	208	6	use	use	VERB
aiti-11568	208	7	vgg16	vgg16	NOUN
aiti-11568	208	8	to	to	PART
aiti-11568	208	9	classify	classify	VERB
aiti-11568	208	10	and	and	CCONJ
aiti-11568	208	11	identify	identify	VERB
aiti-11568	208	12	many	many	ADJ
aiti-11568	208	13	individual	individual	ADJ
aiti-11568	208	14	plants	plant	NOUN
aiti-11568	208	15	together	together	ADV
aiti-11568	208	16	on	on	ADP
aiti-11568	208	17	a	a	DET
aiti-11568	208	18	dataset	dataset	NOUN
aiti-11568	208	19	,	,	PUNCT
aiti-11568	208	20	plantvillage	plantvillage	NOUN
aiti-11568	208	21	dataset	dataset	NOUN
aiti-11568	208	22	for	for	ADP
aiti-11568	208	23	these	these	DET
aiti-11568	208	24	dilated	dilate	VERB
aiti-11568	208	25	cnn	cnn	PROPN
aiti-11568	208	26	networks	network	NOUN
aiti-11568	208	27	to	to	PART
aiti-11568	208	28	improve	improve	VERB
aiti-11568	208	29	accuracy	accuracy	NOUN
aiti-11568	208	30	.	.	PUNCT
aiti-11568	209	1	therefore	therefore	ADV
aiti-11568	209	2	,	,	PUNCT
aiti-11568	209	3	those	those	DET
aiti-11568	209	4	models	model	NOUN
aiti-11568	209	5	are	be	AUX
aiti-11568	209	6	expected	expect	VERB
aiti-11568	209	7	to	to	PART
aiti-11568	209	8	provide	provide	VERB
aiti-11568	209	9	promising	promising	ADJ
aiti-11568	209	10	performance	performance	NOUN
aiti-11568	209	11	in	in	ADP
aiti-11568	209	12	disease	disease	NOUN
aiti-11568	209	13	detection	detection	NOUN
aiti-11568	209	14	on	on	ADP
aiti-11568	209	15	tomato	tomato	NOUN
aiti-11568	209	16	leaves	leave	NOUN
aiti-11568	209	17	.	.	PUNCT
aiti-11568	210	1	the	the	DET
aiti-11568	210	2	dilated	dilated	ADJ
aiti-11568	210	3	convolution	convolution	NOUN
aiti-11568	210	4	expands	expand	VERB
aiti-11568	210	5	the	the	DET
aiti-11568	210	6	kernel	kernel	NOUN
aiti-11568	210	7	’s	’s	PART
aiti-11568	210	8	field	field	NOUN
aiti-11568	210	9	of	of	ADP
aiti-11568	210	10	view	view	NOUN
aiti-11568	210	11	while	while	SCONJ
aiti-11568	210	12	maintaining	maintain	VERB
aiti-11568	210	13	the	the	DET
aiti-11568	210	14	same	same	ADJ
aiti-11568	210	15	computational	computational	ADJ
aiti-11568	210	16	complexities	complexity	NOUN
aiti-11568	210	17	by	by	ADP
aiti-11568	210	18	inserting	insert	VERB
aiti-11568	210	19	“	"	PUNCT
aiti-11568	210	20	holes	hole	NOUN
aiti-11568	210	21	”	"	PUNCT
aiti-11568	210	22	or	or	CCONJ
aiti-11568	210	23	zeros	zero	NOUN
aiti-11568	210	24	between	between	ADP
aiti-11568	210	25	the	the	DET
aiti-11568	210	26	kernels	kernel	NOUN
aiti-11568	210	27	of	of	ADP
aiti-11568	210	28	each	each	DET
aiti-11568	210	29	convolutional	convolutional	ADJ
aiti-11568	210	30	layer	layer	NOUN
aiti-11568	210	31	.	.	PUNCT
aiti-11568	211	1	as	as	ADP
aiti-11568	211	2	a	a	DET
aiti-11568	211	3	result	result	NOUN
aiti-11568	211	4	,	,	PUNCT
aiti-11568	211	5	it	it	PRON
aiti-11568	211	6	can	can	AUX
aiti-11568	211	7	be	be	AUX
aiti-11568	211	8	used	use	VERB
aiti-11568	211	9	for	for	ADP
aiti-11568	211	10	applications	application	NOUN
aiti-11568	211	11	that	that	PRON
aiti-11568	211	12	require	require	VERB
aiti-11568	211	13	a	a	DET
aiti-11568	211	14	wide	wide	ADJ
aiti-11568	211	15	field	field	NOUN
aiti-11568	211	16	of	of	ADP
aiti-11568	211	17	vision	vision	NOUN
aiti-11568	211	18	but	but	CCONJ
aiti-11568	211	19	can	can	AUX
aiti-11568	211	20	not	not	PART
aiti-11568	211	21	support	support	VERB
aiti-11568	211	22	larger	large	ADJ
aiti-11568	211	23	kernels	kernel	NOUN
aiti-11568	211	24	or	or	CCONJ
aiti-11568	211	25	many	many	ADJ
aiti-11568	211	26	convolutions	convolution	NOUN
aiti-11568	211	27	.	.	PUNCT
aiti-11568	212	1	advances	advance	NOUN
aiti-11568	212	2	in	in	ADP
aiti-11568	212	3	technology	technology	NOUN
aiti-11568	212	4	innovation	innovation	NOUN
aiti-11568	212	5	,	,	PUNCT
aiti-11568	212	6	vol	vol	NOUN
aiti-11568	212	7	.	.	PROPN
aiti-11568	212	8	8	8	NUM
aiti-11568	212	9	,	,	PUNCT
aiti-11568	212	10	no	no	INTJ
aiti-11568	212	11	.	.	NOUN
aiti-11568	212	12	3	3	NUM
aiti-11568	212	13	,	,	PUNCT
aiti-11568	212	14	2023	2023	NUM
aiti-11568	212	15	,	,	PUNCT
aiti-11568	212	16	pp	pp	ADJ
aiti-11568	212	17	.	.	PUNCT
aiti-11568	213	1	192	192	NUM
aiti-11568	213	2	-	-	SYM
aiti-11568	213	3	209	209	NUM
aiti-11568	213	4	198	198	NUM
aiti-11568	213	5	fig	fig	NOUN
aiti-11568	213	6	.	.	PUNCT
aiti-11568	214	1	3	3	NUM
aiti-11568	214	2	transfer	transfer	NOUN
aiti-11568	214	3	learning	learn	VERB
aiti-11568	214	4	model	model	NOUN
aiti-11568	214	5	to	to	PART
aiti-11568	214	6	classify	classify	VERB
aiti-11568	214	7	diseases	disease	NOUN
aiti-11568	214	8	when	when	SCONJ
aiti-11568	214	9	working	work	VERB
aiti-11568	214	10	with	with	ADP
aiti-11568	214	11	sparse	sparse	ADJ
aiti-11568	214	12	data	datum	NOUN
aiti-11568	214	13	,	,	PUNCT
aiti-11568	214	14	dilated	dilated	ADJ
aiti-11568	214	15	convolution	convolution	NOUN
aiti-11568	214	16	can	can	AUX
aiti-11568	214	17	be	be	AUX
aiti-11568	214	18	advantageous	advantageous	ADJ
aiti-11568	214	19	because	because	SCONJ
aiti-11568	214	20	it	it	PRON
aiti-11568	214	21	allows	allow	VERB
aiti-11568	214	22	for	for	ADP
aiti-11568	214	23	more	more	ADV
aiti-11568	214	24	expansive	expansive	ADJ
aiti-11568	214	25	receptive	receptive	ADJ
aiti-11568	214	26	fields	field	NOUN
aiti-11568	214	27	without	without	ADP
aiti-11568	214	28	introducing	introduce	VERB
aiti-11568	214	29	extra	extra	ADJ
aiti-11568	214	30	parameters	parameter	NOUN
aiti-11568	214	31	.	.	PUNCT
aiti-11568	215	1	in	in	ADP
aiti-11568	215	2	addition	addition	NOUN
aiti-11568	215	3	,	,	PUNCT
aiti-11568	215	4	dilated	dilated	ADJ
aiti-11568	215	5	convolution	convolution	NOUN
aiti-11568	215	6	can	can	AUX
aiti-11568	215	7	reduce	reduce	VERB
aiti-11568	215	8	overfitting	overfitte	VERB
aiti-11568	215	9	in	in	ADP
aiti-11568	215	10	a	a	DET
aiti-11568	215	11	neural	neural	ADJ
aiti-11568	215	12	network	network	NOUN
aiti-11568	215	13	by	by	ADP
aiti-11568	215	14	reducing	reduce	VERB
aiti-11568	215	15	the	the	DET
aiti-11568	215	16	number	number	NOUN
aiti-11568	215	17	of	of	ADP
aiti-11568	215	18	parameters	parameter	NOUN
aiti-11568	215	19	that	that	PRON
aiti-11568	215	20	need	need	VERB
aiti-11568	215	21	to	to	PART
aiti-11568	215	22	be	be	AUX
aiti-11568	215	23	learned	learn	VERB
aiti-11568	215	24	.	.	PUNCT
aiti-11568	216	1	however	however	ADV
aiti-11568	216	2	,	,	PUNCT
aiti-11568	216	3	dilated	dilated	ADJ
aiti-11568	216	4	convolution	convolution	NOUN
aiti-11568	216	5	can	can	AUX
aiti-11568	216	6	be	be	AUX
aiti-11568	216	7	slower	slow	ADJ
aiti-11568	216	8	to	to	PART
aiti-11568	216	9	train	train	VERB
aiti-11568	216	10	than	than	ADP
aiti-11568	216	11	traditional	traditional	ADJ
aiti-11568	216	12	convolution	convolution	NOUN
aiti-11568	216	13	because	because	SCONJ
aiti-11568	216	14	it	it	PRON
aiti-11568	216	15	requires	require	VERB
aiti-11568	216	16	more	more	ADJ
aiti-11568	216	17	computation	computation	NOUN
aiti-11568	216	18	.	.	PUNCT
aiti-11568	217	1	furthermore	furthermore	ADV
aiti-11568	217	2	,	,	PUNCT
aiti-11568	217	3	dilated	dilated	ADJ
aiti-11568	217	4	convolution	convolution	NOUN
aiti-11568	217	5	may	may	AUX
aiti-11568	217	6	be	be	AUX
aiti-11568	217	7	less	less	ADV
aiti-11568	217	8	effective	effective	ADJ
aiti-11568	217	9	for	for	ADP
aiti-11568	217	10	small	small	ADJ
aiti-11568	217	11	kernel	kernel	NOUN
aiti-11568	217	12	sizes	size	NOUN
aiti-11568	217	13	because	because	SCONJ
aiti-11568	217	14	it	it	PRON
aiti-11568	217	15	decreases	decrease	VERB
aiti-11568	217	16	the	the	DET
aiti-11568	217	17	number	number	NOUN
aiti-11568	217	18	of	of	ADP
aiti-11568	217	19	parameters	parameter	NOUN
aiti-11568	217	20	learned	learn	VERB
aiti-11568	217	21	in	in	ADP
aiti-11568	217	22	a	a	DET
aiti-11568	217	23	given	give	VERB
aiti-11568	217	24	layer	layer	NOUN
aiti-11568	217	25	.	.	PUNCT
aiti-11568	218	1	the	the	DET
aiti-11568	218	2	scenario	scenario	NOUN
aiti-11568	218	3	of	of	ADP
aiti-11568	218	4	dilated	dilated	ADJ
aiti-11568	218	5	convolution	convolution	NOUN
aiti-11568	218	6	in	in	ADP
aiti-11568	218	7	the	the	DET
aiti-11568	218	8	1d	1d	NUM
aiti-11568	218	9	field	field	NOUN
aiti-11568	218	10	is	be	AUX
aiti-11568	218	11	as	as	ADP
aiti-11568	218	12	:	:	PUNCT
aiti-11568	218	13	[	[	PUNCT
aiti-11568	218	14	]	]	X
aiti-11568	218	15	[	[	PUNCT
aiti-11568	218	16	]	]	X
aiti-11568	218	17	[	[	PUNCT
aiti-11568	218	18	]	]	X
aiti-11568	218	19	1	1	X
aiti-11568	218	20	.	.	PUNCT
aiti-11568	219	1	h	h	NOUN
aiti-11568	220	1	h	h	NOUN
aiti-11568	220	2	m	m	VERB
aiti-11568	221	1	i	i	INTJ
aiti-11568	221	2	x	x	VERB
aiti-11568	222	1	i	i	NOUN
aiti-11568	222	2	r	r	NOUN
aiti-11568	222	3	h	h	NOUN
aiti-11568	222	4	w	w	NOUN
aiti-11568	222	5	h	h	NOUN
aiti-11568	222	6	=	=	PUNCT
aiti-11568	223	1	=	=	PUNCT
aiti-11568	223	2	+	+	ADJ
aiti-11568	223	3			X
aiti-11568	223	4	(	(	PUNCT
aiti-11568	223	5	1	1	X
aiti-11568	223	6	)	)	PUNCT
aiti-11568	223	7	for	for	ADP
aiti-11568	223	8	explanation	explanation	NOUN
aiti-11568	223	9	,	,	PUNCT
aiti-11568	223	10	in	in	ADP
aiti-11568	223	11	every	every	DET
aiti-11568	223	12	location	location	NOUN
aiti-11568	223	13	,	,	PUNCT
aiti-11568	223	14	the	the	DET
aiti-11568	223	15	output	output	NOUN
aiti-11568	223	16	is	be	AUX
aiti-11568	223	17	�	�	PROPN
aiti-11568	223	18	.	.	PUNCT
aiti-11568	224	1	moreover	moreover	ADV
aiti-11568	224	2	,	,	PUNCT
aiti-11568	224	3	�	�	PROPN
aiti-11568	224	4	�	�	PROPN
aiti-11568	224	5	�	�	PROPN
aiti-11568	224	6	�	�	PROPN
aiti-11568	224	7	is	be	AUX
aiti-11568	224	8	the	the	DET
aiti-11568	224	9	input	input	NOUN
aiti-11568	224	10	signal	signal	NOUN
aiti-11568	224	11	where	where	SCONJ
aiti-11568	224	12	x	x	PRON
aiti-11568	224	13	is	be	AUX
aiti-11568	224	14	also	also	ADV
aiti-11568	224	15	referred	refer	VERB
aiti-11568	224	16	to	to	ADP
aiti-11568	224	17	as	as	ADP
aiti-11568	224	18	a	a	DET
aiti-11568	224	19	feature	feature	NOUN
aiti-11568	224	20	map	map	NOUN
aiti-11568	224	21	.	.	PUNCT
aiti-11568	225	1	besides	besides	SCONJ
aiti-11568	225	2	,	,	PUNCT
aiti-11568	225	3	�	�	PROPN
aiti-11568	225	4	�	�	NOUN
aiti-11568	225	5	ℎ	ℎ	PROPN
aiti-11568	225	6	�	�	PROPN
aiti-11568	225	7	spatial	spatial	ADJ
aiti-11568	225	8	dimensions	dimension	NOUN
aiti-11568	225	9	were	be	AUX
aiti-11568	225	10	filtered	filter	VERB
aiti-11568	225	11	with	with	ADP
aiti-11568	225	12	the	the	DET
aiti-11568	225	13	length	length	NOUN
aiti-11568	225	14	ℎ	ℎ	PROPN
aiti-11568	225	15	,	,	PUNCT
aiti-11568	225	16	�	�	PROPN
aiti-11568	225	17	corresponding	correspond	VERB
aiti-11568	225	18	to	to	ADP
aiti-11568	225	19	the	the	DET
aiti-11568	225	20	dilation	dilation	NOUN
aiti-11568	225	21	rate	rate	NOUN
aiti-11568	225	22	with	with	ADP
aiti-11568	225	23	which	which	PRON
aiti-11568	225	24	the	the	DET
aiti-11568	225	25	authors	author	NOUN
aiti-11568	225	26	sample	sample	VERB
aiti-11568	225	27	the	the	DET
aiti-11568	225	28	input	input	NOUN
aiti-11568	225	29	signal	signal	PROPN
aiti-11568	225	30	�	�	PROPN
aiti-11568	225	31	�	�	PROPN
aiti-11568	225	32	�	�	PROPN
aiti-11568	225	33	�	�	PROPN
aiti-11568	225	34	.	.	PUNCT
aiti-11568	226	1	in	in	ADP
aiti-11568	226	2	the	the	DET
aiti-11568	226	3	standard	standard	ADJ
aiti-11568	226	4	convolution	convolution	NOUN
aiti-11568	226	5	,	,	PUNCT
aiti-11568	226	6	�	�	PROPN
aiti-11568	226	7	1	1	NUM
aiti-11568	226	8	.	.	PUNCT
aiti-11568	227	1	the	the	DET
aiti-11568	227	2	dilated	dilated	ADJ
aiti-11568	227	3	convolution	convolution	NOUN
aiti-11568	227	4	rate	rate	NOUN
aiti-11568	227	5	is	be	AUX
aiti-11568	227	6	always	always	ADV
aiti-11568	227	7	bigger	big	ADJ
aiti-11568	227	8	than	than	ADP
aiti-11568	227	9	1	1	NUM
aiti-11568	227	10	.	.	PUNCT
aiti-11568	228	1	an	an	DET
aiti-11568	228	2	intuitive	intuitive	ADJ
aiti-11568	228	3	and	and	CCONJ
aiti-11568	228	4	straightforward	straightforward	ADJ
aiti-11568	228	5	method	method	NOUN
aiti-11568	228	6	to	to	PART
aiti-11568	228	7	comprehend	comprehend	VERB
aiti-11568	228	8	dilated	dilated	ADJ
aiti-11568	228	9	convolution	convolution	NOUN
aiti-11568	228	10	is	be	AUX
aiti-11568	228	11	that	that	SCONJ
aiti-11568	228	12	push	push	VERB
aiti-11568	228	13	�	�	PROPN
aiti-11568	228	14	�	�	PROPN
aiti-11568	228	15	�	�	PROPN
aiti-11568	228	16	1	1	NUM
aiti-11568	228	17	zeros	zero	NOUN
aiti-11568	228	18	between	between	ADP
aiti-11568	228	19	every	every	DET
aiti-11568	228	20	two	two	NUM
aiti-11568	228	21	consecutive	consecutive	ADJ
aiti-11568	228	22	filters	filter	NOUN
aiti-11568	228	23	in	in	ADP
aiti-11568	228	24	the	the	DET
aiti-11568	228	25	standard	standard	ADJ
aiti-11568	228	26	convolution	convolution	NOUN
aiti-11568	228	27	.	.	PUNCT
aiti-11568	229	1	in	in	ADP
aiti-11568	229	2	a	a	DET
aiti-11568	229	3	standard	standard	ADJ
aiti-11568	229	4	convolution	convolution	NOUN
aiti-11568	229	5	,	,	PUNCT
aiti-11568	229	6	the	the	DET
aiti-11568	229	7	kernel	kernel	NOUN
aiti-11568	229	8	or	or	CCONJ
aiti-11568	229	9	filter	filter	NOUN
aiti-11568	229	10	size	size	NOUN
aiti-11568	229	11	is	be	AUX
aiti-11568	229	12	�	�	PROPN
aiti-11568	229	13	�	�	PROPN
aiti-11568	229	14	�	�	PROPN
aiti-11568	229	15	,	,	PUNCT
aiti-11568	229	16	then	then	ADV
aiti-11568	229	17	in	in	ADP
aiti-11568	229	18	the	the	DET
aiti-11568	229	19	resulting	result	VERB
aiti-11568	229	20	dilated	dilated	ADJ
aiti-11568	229	21	convolution	convolution	NOUN
aiti-11568	229	22	,	,	PUNCT
aiti-11568	229	23	the	the	DET
aiti-11568	229	24	filter	filter	NOUN
aiti-11568	229	25	or	or	CCONJ
aiti-11568	229	26	kernel	kernel	NOUN
aiti-11568	229	27	size	size	NOUN
aiti-11568	229	28	is	be	AUX
aiti-11568	229	29	�	�	PROPN
aiti-11568	229	30	�	�	PROPN
aiti-11568	229	31	�	�	PROPN
aiti-11568	229	32	�	�	PROPN
aiti-11568	229	33	�	�	PROPN
aiti-11568	229	34	where	where	SCONJ
aiti-11568	229	35	the	the	DET
aiti-11568	229	36	value	value	NOUN
aiti-11568	229	37	can	can	AUX
aiti-11568	229	38	be	be	AUX
aiti-11568	229	39	found	find	VERB
aiti-11568	229	40	by	by	ADP
aiti-11568	229	41	empirical	empirical	ADJ
aiti-11568	229	42	estimation	estimation	NOUN
aiti-11568	229	43	�	�	PROPN
aiti-11568	229	44	�	�	PROPN
aiti-11568	229	45	�	�	PROPN
aiti-11568	229	46	�	�	PROPN
aiti-11568	229	47	�	�	PROPN
aiti-11568	229	48	�	�	PROPN
aiti-11568	229	49	�	�	PROPN
aiti-11568	229	50	1	1	NUM
aiti-11568	229	51	�	�	PROPN
aiti-11568	229	52	�	�	PROPN
aiti-11568	229	53	�	�	PROPN
aiti-11568	229	54	�	�	PROPN
aiti-11568	229	55	1	1	NUM
aiti-11568	229	56	.	.	PUNCT
aiti-11568	230	1	one	one	NUM
aiti-11568	230	2	of	of	ADP
aiti-11568	230	3	the	the	DET
aiti-11568	230	4	main	main	ADJ
aiti-11568	230	5	reasons	reason	NOUN
aiti-11568	230	6	to	to	PART
aiti-11568	230	7	use	use	VERB
aiti-11568	230	8	this	this	DET
aiti-11568	230	9	method	method	NOUN
aiti-11568	230	10	is	be	AUX
aiti-11568	230	11	that	that	SCONJ
aiti-11568	230	12	1	1	NUM
aiti-11568	230	13	-	-	PUNCT
aiti-11568	230	14	dilated	dilate	VERB
aiti-11568	230	15	convolutions	convolution	NOUN
aiti-11568	230	16	allow	allow	VERB
aiti-11568	230	17	for	for	ADP
aiti-11568	230	18	exponentially	exponentially	ADV
aiti-11568	230	19	expanding	expand	VERB
aiti-11568	230	20	receptive	receptive	ADJ
aiti-11568	230	21	fields	field	NOUN
aiti-11568	230	22	without	without	ADP
aiti-11568	230	23	sacrificing	sacrifice	VERB
aiti-11568	230	24	coverage	coverage	NOUN
aiti-11568	230	25	or	or	CCONJ
aiti-11568	230	26	resolution	resolution	NOUN
aiti-11568	230	27	.	.	PUNCT
aiti-11568	231	1	dilated	dilate	VERB
aiti-11568	231	2	convolutions	convolution	NOUN
aiti-11568	231	3	can	can	AUX
aiti-11568	231	4	be	be	AUX
aiti-11568	231	5	used	use	VERB
aiti-11568	231	6	to	to	PART
aiti-11568	231	7	adjust	adjust	VERB
aiti-11568	231	8	the	the	DET
aiti-11568	231	9	effective	effective	ADJ
aiti-11568	231	10	receptive	receptive	ADJ
aiti-11568	231	11	field	field	NOUN
aiti-11568	231	12	of	of	ADP
aiti-11568	231	13	a	a	DET
aiti-11568	231	14	convolutional	convolutional	ADJ
aiti-11568	231	15	layer	layer	NOUN
aiti-11568	231	16	without	without	ADP
aiti-11568	231	17	changing	change	VERB
aiti-11568	231	18	the	the	DET
aiti-11568	231	19	kernel	kernel	NOUN
aiti-11568	231	20	size	size	NOUN
aiti-11568	231	21	.	.	PUNCT
aiti-11568	232	1	on	on	ADP
aiti-11568	232	2	the	the	DET
aiti-11568	232	3	other	other	ADJ
aiti-11568	232	4	hand	hand	NOUN
aiti-11568	232	5	,	,	PUNCT
aiti-11568	232	6	modify	modify	VERB
aiti-11568	232	7	the	the	DET
aiti-11568	232	8	spacing	spacing	NOUN
aiti-11568	232	9	between	between	ADP
aiti-11568	232	10	the	the	DET
aiti-11568	232	11	filter	filter	NOUN
aiti-11568	232	12	’s	’s	PART
aiti-11568	232	13	sampling	sample	VERB
aiti-11568	232	14	positions	position	NOUN
aiti-11568	232	15	within	within	ADP
aiti-11568	232	16	the	the	DET
aiti-11568	232	17	input	input	NOUN
aiti-11568	232	18	.	.	PUNCT
aiti-11568	233	1	by	by	ADP
aiti-11568	233	2	introducing	introduce	VERB
aiti-11568	233	3	gaps	gap	NOUN
aiti-11568	233	4	or	or	CCONJ
aiti-11568	233	5	skips	skip	NOUN
aiti-11568	233	6	between	between	ADP
aiti-11568	233	7	the	the	DET
aiti-11568	233	8	filter	filter	NOUN
aiti-11568	233	9	elements	element	NOUN
aiti-11568	233	10	,	,	PUNCT
aiti-11568	233	11	dilated	dilate	VERB
aiti-11568	233	12	convolutions	convolution	NOUN
aiti-11568	233	13	increase	increase	VERB
aiti-11568	233	14	the	the	DET
aiti-11568	233	15	effective	effective	ADJ
aiti-11568	233	16	receptive	receptive	ADJ
aiti-11568	233	17	field	field	NOUN
aiti-11568	233	18	without	without	ADP
aiti-11568	233	19	changing	change	VERB
aiti-11568	233	20	the	the	DET
aiti-11568	233	21	kernel	kernel	NOUN
aiti-11568	233	22	size	size	NOUN
aiti-11568	233	23	.	.	PUNCT
aiti-11568	234	1	fig	fig	NOUN
aiti-11568	234	2	.	.	PUNCT
aiti-11568	235	1	4	4	NUM
aiti-11568	235	2	depicts	depict	VERB
aiti-11568	235	3	the	the	DET
aiti-11568	235	4	architecture	architecture	NOUN
aiti-11568	235	5	,	,	PUNCT
aiti-11568	235	6	the	the	DET
aiti-11568	235	7	first	first	ADJ
aiti-11568	235	8	of	of	ADP
aiti-11568	235	9	the	the	DET
aiti-11568	235	10	pre	pre	ADJ
aiti-11568	235	11	-	-	ADJ
aiti-11568	235	12	trained	train	VERB
aiti-11568	235	13	mobilenet	mobilenet	NOUN
aiti-11568	235	14	model	model	NOUN
aiti-11568	235	15	in	in	ADP
aiti-11568	235	16	a	a	DET
aiti-11568	235	17	workflow	workflow	NOUN
aiti-11568	235	18	for	for	ADP
aiti-11568	235	19	disease	disease	NOUN
aiti-11568	235	20	recognition	recognition	NOUN
aiti-11568	235	21	on	on	ADP
aiti-11568	235	22	the	the	DET
aiti-11568	235	23	tomato	tomato	NOUN
aiti-11568	235	24	tree	tree	NOUN
aiti-11568	235	25	.	.	PUNCT
aiti-11568	236	1	mobilenet	mobilenet	PROPN
aiti-11568	236	2	was	be	AUX
aiti-11568	236	3	designed	design	VERB
aiti-11568	236	4	to	to	PART
aiti-11568	236	5	provide	provide	VERB
aiti-11568	236	6	a	a	DET
aiti-11568	236	7	small	small	ADJ
aiti-11568	236	8	,	,	PUNCT
aiti-11568	236	9	low	low	ADJ
aiti-11568	236	10	-	-	PUNCT
aiti-11568	236	11	latency	latency	NOUN
aiti-11568	236	12	,	,	PUNCT
aiti-11568	236	13	computationally	computationally	ADV
aiti-11568	236	14	sound	sound	ADJ
aiti-11568	236	15	model	model	NOUN
aiti-11568	236	16	for	for	ADP
aiti-11568	236	17	embedded	embed	VERB
aiti-11568	236	18	mobile	mobile	ADJ
aiti-11568	236	19	vision	vision	NOUN
aiti-11568	236	20	applications	application	NOUN
aiti-11568	236	21	.	.	PUNCT
aiti-11568	237	1	convolutional	convolutional	ADJ
aiti-11568	237	2	operations	operation	NOUN
aiti-11568	237	3	in	in	ADP
aiti-11568	237	4	mobilenet	mobilenet	NOUN
aiti-11568	237	5	are	be	AUX
aiti-11568	237	6	classified	classify	VERB
aiti-11568	237	7	into	into	ADP
aiti-11568	237	8	three	three	NUM
aiti-11568	237	9	types	type	NOUN
aiti-11568	237	10	:	:	PUNCT
aiti-11568	237	11	standard	standard	ADJ
aiti-11568	237	12	convolution	convolution	NOUN
aiti-11568	237	13	,	,	PUNCT
aiti-11568	237	14	pointwise	pointwise	VERB
aiti-11568	237	15	advances	advance	NOUN
aiti-11568	237	16	in	in	ADP
aiti-11568	237	17	technology	technology	NOUN
aiti-11568	237	18	innovation	innovation	NOUN
aiti-11568	237	19	,	,	PUNCT
aiti-11568	237	20	vol	vol	NOUN
aiti-11568	237	21	.	.	PROPN
aiti-11568	237	22	8	8	NUM
aiti-11568	237	23	,	,	PUNCT
aiti-11568	237	24	no	no	INTJ
aiti-11568	237	25	.	.	NOUN
aiti-11568	237	26	3	3	NUM
aiti-11568	237	27	,	,	PUNCT
aiti-11568	237	28	2023	2023	NUM
aiti-11568	237	29	,	,	PUNCT
aiti-11568	237	30	pp	pp	ADJ
aiti-11568	237	31	.	.	PUNCT
aiti-11568	238	1	192	192	NUM
aiti-11568	238	2	-	-	SYM
aiti-11568	238	3	209	209	NUM
aiti-11568	238	4	199	199	NUM
aiti-11568	238	5	convolution	convolution	NOUN
aiti-11568	238	6	,	,	PUNCT
aiti-11568	238	7	and	and	CCONJ
aiti-11568	238	8	depthwise	depthwise	NOUN
aiti-11568	238	9	convolution	convolution	NOUN
aiti-11568	238	10	.	.	PUNCT
aiti-11568	239	1	to	to	PART
aiti-11568	239	2	implement	implement	VERB
aiti-11568	239	3	the	the	DET
aiti-11568	239	4	dilated	dilated	ADJ
aiti-11568	239	5	convolution	convolution	NOUN
aiti-11568	239	6	.	.	PUNCT
aiti-11568	240	1	the	the	DET
aiti-11568	240	2	authors	author	NOUN
aiti-11568	240	3	use	use	VERB
aiti-11568	240	4	five	five	NUM
aiti-11568	240	5	depthwise	depthwise	NOUN
aiti-11568	240	6	layers	layer	NOUN
aiti-11568	240	7	,	,	PUNCT
aiti-11568	240	8	each	each	PRON
aiti-11568	240	9	with	with	ADP
aiti-11568	240	10	its	its	PRON
aiti-11568	240	11	stride	stride	ADJ
aiti-11568	240	12	rate	rate	NOUN
aiti-11568	240	13	(	(	PUNCT
aiti-11568	240	14	2,2	2,2	NUM
aiti-11568	240	15	)	)	PUNCT
aiti-11568	240	16	.	.	PUNCT
aiti-11568	241	1	the	the	DET
aiti-11568	241	2	first	first	ADJ
aiti-11568	241	3	two	two	NUM
aiti-11568	241	4	depthwise	depthwise	NOUN
aiti-11568	241	5	layers	layer	NOUN
aiti-11568	241	6	have	have	VERB
aiti-11568	241	7	a	a	DET
aiti-11568	241	8	dilation	dilation	NOUN
aiti-11568	241	9	rate	rate	NOUN
aiti-11568	241	10	of	of	ADP
aiti-11568	241	11	(	(	PUNCT
aiti-11568	241	12	1,1	1,1	NUM
aiti-11568	241	13	)	)	PUNCT
aiti-11568	241	14	;	;	PUNCT
aiti-11568	241	15	however	however	ADV
aiti-11568	241	16	,	,	PUNCT
aiti-11568	241	17	the	the	DET
aiti-11568	241	18	third	third	ADJ
aiti-11568	241	19	and	and	CCONJ
aiti-11568	241	20	fourth	fourth	ADJ
aiti-11568	241	21	layers	layer	NOUN
aiti-11568	241	22	have	have	VERB
aiti-11568	241	23	a	a	DET
aiti-11568	241	24	dilation	dilation	NOUN
aiti-11568	241	25	rate	rate	NOUN
aiti-11568	241	26	of	of	ADP
aiti-11568	241	27	(	(	PUNCT
aiti-11568	241	28	2,1	2,1	NUM
aiti-11568	241	29	)	)	PUNCT
aiti-11568	241	30	or	or	CCONJ
aiti-11568	241	31	(	(	PUNCT
aiti-11568	241	32	2,2	2,2	NUM
aiti-11568	241	33	)	)	PUNCT
aiti-11568	241	34	.	.	PUNCT
aiti-11568	242	1	furthermore	furthermore	ADV
aiti-11568	242	2	,	,	PUNCT
aiti-11568	242	3	the	the	DET
aiti-11568	242	4	authors	author	NOUN
aiti-11568	242	5	concatenate	concatenate	VERB
aiti-11568	242	6	three	three	NUM
aiti-11568	242	7	parallel	parallel	ADJ
aiti-11568	242	8	depthwise	depthwise	NOUN
aiti-11568	242	9	2d	2d	NUM
aiti-11568	242	10	convolution	convolution	NOUN
aiti-11568	242	11	layers	layer	NOUN
aiti-11568	242	12	with	with	ADP
aiti-11568	242	13	dilation	dilation	NOUN
aiti-11568	242	14	rates	rate	NOUN
aiti-11568	242	15	of	of	ADP
aiti-11568	242	16	4	4	NUM
aiti-11568	242	17	,	,	PUNCT
aiti-11568	242	18	8	8	NUM
aiti-11568	242	19	,	,	PUNCT
aiti-11568	242	20	and	and	CCONJ
aiti-11568	242	21	16	16	NUM
aiti-11568	242	22	for	for	ADP
aiti-11568	242	23	the	the	DET
aiti-11568	242	24	final	final	ADJ
aiti-11568	242	25	depthwise	depthwise	NOUN
aiti-11568	242	26	layer	layer	NOUN
aiti-11568	242	27	.	.	PUNCT
aiti-11568	243	1	the	the	DET
aiti-11568	243	2	process	process	NOUN
aiti-11568	243	3	continues	continue	VERB
aiti-11568	243	4	concatenating	concatenate	VERB
aiti-11568	243	5	these	these	DET
aiti-11568	243	6	three	three	NUM
aiti-11568	243	7	depthwise	depthwise	NOUN
aiti-11568	243	8	convolutional	convolutional	ADJ
aiti-11568	243	9	2d	2d	NOUN
aiti-11568	243	10	layers	layer	NOUN
aiti-11568	243	11	to	to	PART
aiti-11568	243	12	create	create	VERB
aiti-11568	243	13	the	the	DET
aiti-11568	243	14	fifth	fifth	ADJ
aiti-11568	243	15	depthwise	depthwise	NOUN
aiti-11568	243	16	convolutional	convolutional	ADJ
aiti-11568	243	17	2d	2d	NOUN
aiti-11568	243	18	layer	layer	NOUN
aiti-11568	243	19	.	.	PUNCT
aiti-11568	244	1	initially	initially	ADV
aiti-11568	244	2	,	,	PUNCT
aiti-11568	244	3	every	every	DET
aiti-11568	244	4	depthwise	depthwise	NOUN
aiti-11568	244	5	layer	layer	NOUN
aiti-11568	244	6	of	of	ADP
aiti-11568	244	7	mobilenet	mobilenet	NOUN
aiti-11568	244	8	had	have	VERB
aiti-11568	244	9	a	a	DET
aiti-11568	244	10	dilation	dilation	NOUN
aiti-11568	244	11	rate	rate	NOUN
aiti-11568	244	12	=	=	SYM
aiti-11568	244	13	1	1	NUM
aiti-11568	244	14	,	,	PUNCT
aiti-11568	244	15	but	but	CCONJ
aiti-11568	244	16	implementing	implement	VERB
aiti-11568	244	17	different	different	ADJ
aiti-11568	244	18	dilation	dilation	NOUN
aiti-11568	244	19	rates	rate	NOUN
aiti-11568	244	20	in	in	ADP
aiti-11568	244	21	distinct	distinct	ADJ
aiti-11568	244	22	depthwise	depthwise	NOUN
aiti-11568	244	23	layers	layer	NOUN
aiti-11568	244	24	of	of	ADP
aiti-11568	244	25	mobilenet	mobilenet	NOUN
aiti-11568	244	26	architecture	architecture	NOUN
aiti-11568	244	27	is	be	AUX
aiti-11568	244	28	novel	novel	ADJ
aiti-11568	244	29	.	.	PUNCT
aiti-11568	245	1	now	now	ADV
aiti-11568	245	2	it	it	PRON
aiti-11568	245	3	is	be	AUX
aiti-11568	245	4	time	time	NOUN
aiti-11568	245	5	to	to	PART
aiti-11568	245	6	start	start	VERB
aiti-11568	245	7	proposing	propose	VERB
aiti-11568	245	8	this	this	DET
aiti-11568	245	9	approach	approach	NOUN
aiti-11568	245	10	.	.	PUNCT
aiti-11568	246	1	fig	fig	NOUN
aiti-11568	246	2	.	.	PUNCT
aiti-11568	247	1	4	4	NUM
aiti-11568	247	2	an	an	DET
aiti-11568	247	3	illustration	illustration	NOUN
aiti-11568	247	4	of	of	ADP
aiti-11568	247	5	mobilenet	mobilenet	NOUN
aiti-11568	247	6	architecture	architecture	NOUN
aiti-11568	247	7	to	to	PART
aiti-11568	247	8	identify	identify	VERB
aiti-11568	247	9	and	and	CCONJ
aiti-11568	247	10	classify	classify	VERB
aiti-11568	247	11	diseases	disease	NOUN
aiti-11568	247	12	transformational	transformational	ADJ
aiti-11568	247	13	learning	learning	NOUN
aiti-11568	247	14	applies	apply	VERB
aiti-11568	247	15	past	past	ADP
aiti-11568	247	16	model	model	NOUN
aiti-11568	247	17	knowledge	knowledge	NOUN
aiti-11568	247	18	to	to	ADP
aiti-11568	247	19	the	the	DET
aiti-11568	247	20	current	current	ADJ
aiti-11568	247	21	situation	situation	NOUN
aiti-11568	247	22	.	.	PUNCT
aiti-11568	248	1	the	the	DET
aiti-11568	248	2	authors	author	NOUN
aiti-11568	248	3	apply	apply	VERB
aiti-11568	248	4	transformational	transformational	ADJ
aiti-11568	248	5	learning	learning	NOUN
aiti-11568	248	6	when	when	SCONJ
aiti-11568	248	7	the	the	DET
aiti-11568	248	8	provided	provide	VERB
aiti-11568	248	9	dataset	dataset	NOUN
aiti-11568	248	10	does	do	AUX
aiti-11568	248	11	not	not	PART
aiti-11568	248	12	contain	contain	VERB
aiti-11568	248	13	enough	enough	ADJ
aiti-11568	248	14	data	datum	NOUN
aiti-11568	248	15	to	to	PART
aiti-11568	248	16	train	train	VERB
aiti-11568	248	17	a	a	DET
aiti-11568	248	18	full	full	ADJ
aiti-11568	248	19	-	-	PUNCT
aiti-11568	248	20	scale	scale	NOUN
aiti-11568	248	21	model	model	NOUN
aiti-11568	248	22	from	from	ADP
aiti-11568	248	23	the	the	DET
aiti-11568	248	24	start	start	NOUN
aiti-11568	248	25	.	.	PUNCT
aiti-11568	249	1	instead	instead	ADV
aiti-11568	249	2	,	,	PUNCT
aiti-11568	249	3	previously	previously	ADV
aiti-11568	249	4	trained	train	VERB
aiti-11568	249	5	mobilenet	mobilenet	NOUN
aiti-11568	249	6	model	model	NOUN
aiti-11568	249	7	parameters	parameter	NOUN
aiti-11568	249	8	are	be	AUX
aiti-11568	249	9	utilized	utilize	VERB
aiti-11568	249	10	in	in	ADP
aiti-11568	249	11	the	the	DET
aiti-11568	249	12	training	training	NOUN
aiti-11568	249	13	procedure	procedure	NOUN
aiti-11568	249	14	.	.	PUNCT
aiti-11568	250	1	as	as	ADP
aiti-11568	250	2	a	a	DET
aiti-11568	250	3	result	result	NOUN
aiti-11568	250	4	,	,	PUNCT
aiti-11568	250	5	transfer	transfer	NOUN
aiti-11568	250	6	learning	learning	NOUN
aiti-11568	250	7	uses	use	VERB
aiti-11568	250	8	the	the	DET
aiti-11568	250	9	model	model	NOUN
aiti-11568	250	10	’s	’s	PART
aiti-11568	250	11	existing	exist	VERB
aiti-11568	250	12	classes	class	NOUN
aiti-11568	250	13	rather	rather	ADV
aiti-11568	250	14	than	than	ADP
aiti-11568	250	15	retraining	retrain	VERB
aiti-11568	250	16	it	it	PRON
aiti-11568	250	17	from	from	ADP
aiti-11568	250	18	the	the	DET
aiti-11568	250	19	start	start	NOUN
aiti-11568	250	20	,	,	PUNCT
aiti-11568	250	21	boosting	boost	VERB
aiti-11568	250	22	its	its	PRON
aiti-11568	250	23	accuracy	accuracy	NOUN
aiti-11568	250	24	.	.	PUNCT
aiti-11568	251	1	the	the	DET
aiti-11568	251	2	mobilenet	mobilenet	NOUN
aiti-11568	251	3	model	model	NOUN
aiti-11568	251	4	is	be	AUX
aiti-11568	251	5	now	now	ADV
aiti-11568	251	6	enhanced	enhance	VERB
aiti-11568	251	7	with	with	ADP
aiti-11568	251	8	a	a	DET
aiti-11568	251	9	new	new	ADJ
aiti-11568	251	10	fully	fully	ADV
aiti-11568	251	11	connected	connect	VERB
aiti-11568	251	12	layer	layer	NOUN
aiti-11568	251	13	and	and	CCONJ
aiti-11568	251	14	an	an	DET
aiti-11568	251	15	output	output	NOUN
aiti-11568	251	16	layer	layer	NOUN
aiti-11568	251	17	with	with	ADP
aiti-11568	251	18	a	a	DET
aiti-11568	251	19	softmax	softmax	NOUN
aiti-11568	251	20	classification	classification	NOUN
aiti-11568	251	21	function	function	NOUN
aiti-11568	251	22	for	for	ADP
aiti-11568	251	23	diseases	disease	NOUN
aiti-11568	251	24	in	in	ADP
aiti-11568	251	25	tomato	tomato	NOUN
aiti-11568	251	26	leaf	leaf	NOUN
aiti-11568	251	27	classification	classification	NOUN
aiti-11568	251	28	.	.	PUNCT
aiti-11568	252	1	fine	fine	ADJ
aiti-11568	252	2	-	-	PUNCT
aiti-11568	252	3	tuning	tuning	NOUN
aiti-11568	252	4	:	:	PUNCT
aiti-11568	252	5	the	the	DET
aiti-11568	252	6	process	process	NOUN
aiti-11568	252	7	continues	continue	VERB
aiti-11568	252	8	to	to	PART
aiti-11568	252	9	refine	refine	VERB
aiti-11568	252	10	after	after	ADP
aiti-11568	252	11	using	use	VERB
aiti-11568	252	12	transfer	transfer	NOUN
aiti-11568	252	13	learning	learning	NOUN
aiti-11568	252	14	,	,	PUNCT
aiti-11568	252	15	and	and	CCONJ
aiti-11568	252	16	the	the	DET
aiti-11568	252	17	results	result	NOUN
aiti-11568	252	18	will	will	AUX
aiti-11568	252	19	improve	improve	VERB
aiti-11568	252	20	.	.	PUNCT
aiti-11568	253	1	fine	fine	ADJ
aiti-11568	253	2	-	-	PUNCT
aiti-11568	253	3	tuning	tuning	NOUN
aiti-11568	253	4	uses	use	VERB
aiti-11568	253	5	a	a	DET
aiti-11568	253	6	trained	train	VERB
aiti-11568	253	7	network	network	NOUN
aiti-11568	253	8	model	model	NOUN
aiti-11568	253	9	to	to	PART
aiti-11568	253	10	perform	perform	VERB
aiti-11568	253	11	a	a	DET
aiti-11568	253	12	comparable	comparable	ADJ
aiti-11568	253	13	task	task	NOUN
aiti-11568	253	14	for	for	ADP
aiti-11568	253	15	a	a	DET
aiti-11568	253	16	specific	specific	ADJ
aiti-11568	253	17	task	task	NOUN
aiti-11568	253	18	.	.	PUNCT
aiti-11568	254	1	usually	usually	ADV
aiti-11568	254	2	,	,	PUNCT
aiti-11568	254	3	the	the	DET
aiti-11568	254	4	model	model	NOUN
aiti-11568	254	5	’s	’s	PART
aiti-11568	254	6	initial	initial	ADJ
aiti-11568	254	7	layers	layer	NOUN
aiti-11568	254	8	are	be	AUX
aiti-11568	254	9	frozen	freeze	VERB
aiti-11568	254	10	(	(	PUNCT
aiti-11568	254	11	i.e.	i.e.	X
aiti-11568	254	12	,	,	PUNCT
aiti-11568	254	13	default	default	NOUN
aiti-11568	254	14	and	and	CCONJ
aiti-11568	254	15	unchanged	unchanged	ADJ
aiti-11568	254	16	)	)	PUNCT
aiti-11568	254	17	.	.	PUNCT
aiti-11568	255	1	the	the	DET
aiti-11568	255	2	weights	weight	NOUN
aiti-11568	255	3	of	of	ADP
aiti-11568	255	4	these	these	DET
aiti-11568	255	5	classes	class	NOUN
aiti-11568	255	6	are	be	AUX
aiti-11568	255	7	not	not	PART
aiti-11568	255	8	changed	change	VERB
aiti-11568	255	9	during	during	ADP
aiti-11568	255	10	training	training	NOUN
aiti-11568	255	11	.	.	PUNCT
aiti-11568	256	1	these	these	DET
aiti-11568	256	2	layers	layer	NOUN
aiti-11568	256	3	can	can	AUX
aiti-11568	256	4	perform	perform	VERB
aiti-11568	256	5	low	low	ADJ
aiti-11568	256	6	-	-	PUNCT
aiti-11568	256	7	level	level	NOUN
aiti-11568	256	8	information	information	NOUN
aiti-11568	256	9	extraction	extraction	NOUN
aiti-11568	256	10	;	;	PUNCT
aiti-11568	256	11	this	this	DET
aiti-11568	256	12	skill	skill	NOUN
aiti-11568	256	13	is	be	AUX
aiti-11568	256	14	acquired	acquire	VERB
aiti-11568	256	15	through	through	ADP
aiti-11568	256	16	prior	prior	ADJ
aiti-11568	256	17	training	training	NOUN
aiti-11568	256	18	.	.	PUNCT
aiti-11568	257	1	the	the	DET
aiti-11568	257	2	solution	solution	NOUN
aiti-11568	257	3	is	be	AUX
aiti-11568	257	4	to	to	PART
aiti-11568	257	5	continue	continue	VERB
aiti-11568	257	6	to	to	PART
aiti-11568	257	7	tweak	tweak	VERB
aiti-11568	257	8	the	the	DET
aiti-11568	257	9	hyperparameters	hyperparameter	NOUN
aiti-11568	257	10	during	during	ADP
aiti-11568	257	11	the	the	DET
aiti-11568	257	12	fine	fine	ADV
aiti-11568	257	13	-	-	PUNCT
aiti-11568	257	14	tuning	tune	VERB
aiti-11568	257	15	phase	phase	NOUN
aiti-11568	257	16	to	to	PART
aiti-11568	257	17	help	help	VERB
aiti-11568	257	18	the	the	DET
aiti-11568	257	19	model	model	NOUN
aiti-11568	257	20	achieve	achieve	VERB
aiti-11568	257	21	the	the	DET
aiti-11568	257	22	highest	high	ADJ
aiti-11568	257	23	accuracy	accuracy	NOUN
aiti-11568	257	24	while	while	SCONJ
aiti-11568	257	25	avoiding	avoid	VERB
aiti-11568	257	26	overfitting	overfitte	VERB
aiti-11568	257	27	or	or	CCONJ
aiti-11568	257	28	underfitting	underfitting	NOUN
aiti-11568	257	29	.	.	PUNCT
aiti-11568	258	1	in	in	ADP
aiti-11568	258	2	this	this	DET
aiti-11568	258	3	fine	fine	ADJ
aiti-11568	258	4	-	-	PUNCT
aiti-11568	258	5	tuning	tune	VERB
aiti-11568	258	6	section	section	NOUN
aiti-11568	258	7	,	,	PUNCT
aiti-11568	258	8	the	the	DET
aiti-11568	258	9	authors	author	NOUN
aiti-11568	258	10	have	have	AUX
aiti-11568	258	11	fine	fine	ADV
aiti-11568	258	12	-	-	PUNCT
aiti-11568	258	13	tuned	tune	VERB
aiti-11568	258	14	the	the	DET
aiti-11568	258	15	following	following	ADJ
aiti-11568	258	16	hyperparameters	hyperparameter	NOUN
aiti-11568	258	17	:	:	PUNCT
aiti-11568	258	18	(	(	PUNCT
aiti-11568	258	19	i	i	NOUN
aiti-11568	258	20	)	)	PUNCT
aiti-11568	258	21	dropout	dropout	NOUN
aiti-11568	258	22	:	:	PUNCT
aiti-11568	258	23	dropout	dropout	NOUN
aiti-11568	258	24	is	be	AUX
aiti-11568	258	25	a	a	DET
aiti-11568	258	26	regularization	regularization	NOUN
aiti-11568	258	27	technique	technique	NOUN
aiti-11568	258	28	used	use	VERB
aiti-11568	258	29	in	in	ADP
aiti-11568	258	30	dl	dl	PROPN
aiti-11568	258	31	to	to	PART
aiti-11568	258	32	prevent	prevent	VERB
aiti-11568	258	33	a	a	DET
aiti-11568	258	34	model	model	NOUN
aiti-11568	258	35	from	from	ADP
aiti-11568	258	36	overfitting	overfitte	VERB
aiti-11568	258	37	.	.	PUNCT
aiti-11568	259	1	during	during	ADP
aiti-11568	259	2	training	training	NOUN
aiti-11568	259	3	,	,	PUNCT
aiti-11568	259	4	a	a	DET
aiti-11568	259	5	specific	specific	ADJ
aiti-11568	259	6	percentage	percentage	NOUN
aiti-11568	259	7	of	of	ADP
aiti-11568	259	8	the	the	DET
aiti-11568	259	9	nodes	node	NOUN
aiti-11568	259	10	in	in	ADP
aiti-11568	259	11	a	a	DET
aiti-11568	259	12	neural	neural	ADJ
aiti-11568	259	13	network	network	NOUN
aiti-11568	259	14	are	be	AUX
aiti-11568	259	15	randomly	randomly	ADV
aiti-11568	259	16	dropped	drop	VERB
aiti-11568	259	17	out	out	ADP
aiti-11568	259	18	(	(	PUNCT
aiti-11568	259	19	recommend	recommend	VERB
aiti-11568	259	20	from	from	ADP
aiti-11568	259	21	0.2	0.2	NUM
aiti-11568	259	22	to	to	ADP
aiti-11568	259	23	0.5	0.5	NUM
aiti-11568	259	24	)	)	PUNCT
aiti-11568	259	25	.	.	PUNCT
aiti-11568	260	1	(	(	PUNCT
aiti-11568	260	2	ii	ii	X
aiti-11568	260	3	)	)	PUNCT
aiti-11568	260	4	learning	learn	VERB
aiti-11568	260	5	rate	rate	NOUN
aiti-11568	260	6	:	:	PUNCT
aiti-11568	260	7	the	the	DET
aiti-11568	260	8	learning	learning	NOUN
aiti-11568	260	9	rate	rate	NOUN
aiti-11568	260	10	is	be	AUX
aiti-11568	260	11	a	a	DET
aiti-11568	260	12	hyperparameter	hyperparameter	NOUN
aiti-11568	260	13	that	that	PRON
aiti-11568	260	14	controls	control	VERB
aiti-11568	260	15	how	how	SCONJ
aiti-11568	260	16	quickly	quickly	ADV
aiti-11568	260	17	the	the	DET
aiti-11568	260	18	model	model	NOUN
aiti-11568	260	19	’s	’s	PART
aiti-11568	260	20	parameters	parameter	NOUN
aiti-11568	260	21	are	be	AUX
aiti-11568	260	22	updated	update	VERB
aiti-11568	260	23	during	during	ADP
aiti-11568	260	24	training	training	NOUN
aiti-11568	260	25	iterations	iteration	NOUN
aiti-11568	260	26	.	.	PUNCT
aiti-11568	261	1	it	it	PRON
aiti-11568	261	2	is	be	AUX
aiti-11568	261	3	an	an	DET
aiti-11568	261	4	essential	essential	ADJ
aiti-11568	261	5	hyperparameter	hyperparameter	NOUN
aiti-11568	261	6	since	since	SCONJ
aiti-11568	261	7	it	it	PRON
aiti-11568	261	8	considerably	considerably	ADV
aiti-11568	261	9	impacts	impact	VERB
aiti-11568	261	10	model	model	NOUN
aiti-11568	261	11	performance	performance	NOUN
aiti-11568	261	12	(	(	PUNCT
aiti-11568	261	13	should	should	AUX
aiti-11568	261	14	be	be	AUX
aiti-11568	261	15	from	from	ADP
aiti-11568	261	16	0.00001	0.00001	NUM
aiti-11568	261	17	to	to	ADP
aiti-11568	261	18	0.0001	0.0001	NUM
aiti-11568	261	19	)	)	PUNCT
aiti-11568	261	20	.	.	PUNCT
aiti-11568	262	1	(	(	PUNCT
aiti-11568	262	2	iii	iii	NOUN
aiti-11568	262	3	)	)	PUNCT
aiti-11568	262	4	hidden	hide	VERB
aiti-11568	262	5	layer	layer	NOUN
aiti-11568	262	6	:	:	PUNCT
aiti-11568	262	7	a	a	DET
aiti-11568	262	8	hidden	hide	VERB
aiti-11568	262	9	neural	neural	ADJ
aiti-11568	262	10	network	network	NOUN
aiti-11568	262	11	layer	layer	NOUN
aiti-11568	262	12	is	be	AUX
aiti-11568	262	13	neurons	neuron	NOUN
aiti-11568	262	14	not	not	PART
aiti-11568	262	15	directly	directly	ADV
aiti-11568	262	16	connected	connect	VERB
aiti-11568	262	17	to	to	ADP
aiti-11568	262	18	the	the	DET
aiti-11568	262	19	input	input	NOUN
aiti-11568	262	20	or	or	CCONJ
aiti-11568	262	21	output	output	NOUN
aiti-11568	262	22	layers	layer	NOUN
aiti-11568	262	23	.	.	PUNCT
aiti-11568	263	1	because	because	SCONJ
aiti-11568	263	2	its	its	PRON
aiti-11568	263	3	values	value	NOUN
aiti-11568	263	4	are	be	AUX
aiti-11568	263	5	not	not	PART
aiti-11568	263	6	directly	directly	ADV
aiti-11568	263	7	visible	visible	ADJ
aiti-11568	263	8	in	in	ADP
aiti-11568	263	9	the	the	DET
aiti-11568	263	10	input	input	NOUN
aiti-11568	263	11	or	or	CCONJ
aiti-11568	263	12	output	output	NOUN
aiti-11568	263	13	data	datum	NOUN
aiti-11568	263	14	,	,	PUNCT
aiti-11568	263	15	it	it	PRON
aiti-11568	263	16	is	be	AUX
aiti-11568	263	17	referred	refer	VERB
aiti-11568	263	18	to	to	ADP
aiti-11568	263	19	as	as	ADP
aiti-11568	263	20	a	a	DET
aiti-11568	263	21	“	"	PUNCT
aiti-11568	263	22	hidden	hidden	ADJ
aiti-11568	263	23	”	"	PUNCT
aiti-11568	263	24	layer	layer	NOUN
aiti-11568	263	25	.	.	PUNCT
aiti-11568	264	1	(	(	PUNCT
aiti-11568	264	2	the	the	DET
aiti-11568	264	3	study	study	NOUN
aiti-11568	264	4	evaluates	evaluate	VERB
aiti-11568	264	5	the	the	DET
aiti-11568	264	6	number	number	NOUN
aiti-11568	264	7	of	of	ADP
aiti-11568	264	8	units	unit	NOUN
aiti-11568	264	9	in	in	ADP
aiti-11568	264	10	the	the	DET
aiti-11568	264	11	hidden	hide	VERB
aiti-11568	264	12	layer	layer	NOUN
aiti-11568	264	13	from	from	ADP
aiti-11568	264	14	1024	1024	NUM
aiti-11568	264	15	down	down	ADP
aiti-11568	264	16	to	to	ADP
aiti-11568	264	17	512	512	NUM
aiti-11568	264	18	,	,	PUNCT
aiti-11568	264	19	256	256	NUM
aiti-11568	264	20	,	,	PUNCT
aiti-11568	264	21	128	128	NUM
aiti-11568	264	22	,	,	PUNCT
aiti-11568	264	23	etc	etc	X
aiti-11568	264	24	.	.	X
aiti-11568	264	25	)	)	PUNCT
aiti-11568	264	26	advances	advance	NOUN
aiti-11568	264	27	in	in	ADP
aiti-11568	264	28	technology	technology	NOUN
aiti-11568	264	29	innovation	innovation	NOUN
aiti-11568	264	30	,	,	PUNCT
aiti-11568	264	31	vol	vol	NOUN
aiti-11568	264	32	.	.	PROPN
aiti-11568	264	33	8	8	NUM
aiti-11568	264	34	,	,	PUNCT
aiti-11568	264	35	no	no	INTJ
aiti-11568	264	36	.	.	NOUN
aiti-11568	264	37	3	3	NUM
aiti-11568	264	38	,	,	PUNCT
aiti-11568	264	39	2023	2023	NUM
aiti-11568	264	40	,	,	PUNCT
aiti-11568	264	41	pp	pp	ADJ
aiti-11568	264	42	.	.	PUNCT
aiti-11568	265	1	192	192	NUM
aiti-11568	265	2	-	-	SYM
aiti-11568	265	3	209	209	NUM
aiti-11568	265	4	200	200	NUM
aiti-11568	265	5	(	(	PUNCT
aiti-11568	265	6	iv	iv	NOUN
aiti-11568	265	7	)	)	PUNCT
aiti-11568	265	8	batch	batch	NOUN
aiti-11568	265	9	size	size	NOUN
aiti-11568	265	10	:	:	PUNCT
aiti-11568	265	11	the	the	DET
aiti-11568	265	12	batch	batch	NOUN
aiti-11568	265	13	size	size	NOUN
aiti-11568	265	14	is	be	AUX
aiti-11568	265	15	the	the	DET
aiti-11568	265	16	number	number	NOUN
aiti-11568	265	17	of	of	ADP
aiti-11568	265	18	samples	sample	NOUN
aiti-11568	265	19	used	use	VERB
aiti-11568	265	20	to	to	PART
aiti-11568	265	21	update	update	VERB
aiti-11568	265	22	the	the	DET
aiti-11568	265	23	model	model	NOUN
aiti-11568	265	24	’s	’s	PART
aiti-11568	265	25	parameters	parameter	NOUN
aiti-11568	265	26	during	during	ADP
aiti-11568	265	27	each	each	DET
aiti-11568	265	28	round	round	NOUN
aiti-11568	265	29	of	of	ADP
aiti-11568	265	30	training	training	NOUN
aiti-11568	265	31	.	.	PUNCT
aiti-11568	266	1	it	it	PRON
aiti-11568	266	2	is	be	AUX
aiti-11568	266	3	a	a	DET
aiti-11568	266	4	crucial	crucial	ADJ
aiti-11568	266	5	hyperparameter	hyperparameter	NOUN
aiti-11568	266	6	that	that	PRON
aiti-11568	266	7	can	can	AUX
aiti-11568	266	8	affect	affect	VERB
aiti-11568	266	9	the	the	DET
aiti-11568	266	10	training	training	NOUN
aiti-11568	266	11	speed	speed	NOUN
aiti-11568	266	12	and	and	CCONJ
aiti-11568	266	13	the	the	DET
aiti-11568	266	14	model	model	NOUN
aiti-11568	266	15	’s	’s	PART
aiti-11568	266	16	performance	performance	NOUN
aiti-11568	266	17	.	.	PUNCT
aiti-11568	267	1	(	(	PUNCT
aiti-11568	267	2	it	it	PRON
aiti-11568	267	3	should	should	AUX
aiti-11568	267	4	be	be	AUX
aiti-11568	267	5	8	8	NUM
aiti-11568	267	6	,	,	PUNCT
aiti-11568	267	7	16	16	NUM
aiti-11568	267	8	,	,	PUNCT
aiti-11568	267	9	32	32	NUM
aiti-11568	267	10	,	,	PUNCT
aiti-11568	267	11	or	or	CCONJ
aiti-11568	267	12	64	64	NUM
aiti-11568	267	13	)	)	PUNCT
aiti-11568	267	14	.	.	PUNCT
aiti-11568	268	1	(	(	PUNCT
aiti-11568	268	2	v	v	NOUN
aiti-11568	268	3	)	)	PUNCT
aiti-11568	268	4	epoch	epoch	NOUN
aiti-11568	268	5	:	:	PUNCT
aiti-11568	268	6	an	an	DET
aiti-11568	268	7	epoch	epoch	NOUN
aiti-11568	268	8	is	be	AUX
aiti-11568	268	9	a	a	DET
aiti-11568	268	10	complete	complete	ADJ
aiti-11568	268	11	pass	pass	NOUN
aiti-11568	268	12	of	of	ADP
aiti-11568	268	13	the	the	DET
aiti-11568	268	14	entire	entire	ADJ
aiti-11568	268	15	training	training	NOUN
aiti-11568	268	16	dataset	dataset	NOUN
aiti-11568	268	17	during	during	ADP
aiti-11568	268	18	the	the	DET
aiti-11568	268	19	training	training	NOUN
aiti-11568	268	20	process	process	NOUN
aiti-11568	268	21	.	.	PUNCT
aiti-11568	269	1	it	it	PRON
aiti-11568	269	2	is	be	AUX
aiti-11568	269	3	a	a	DET
aiti-11568	269	4	critical	critical	ADJ
aiti-11568	269	5	hyperparameter	hyperparameter	NOUN
aiti-11568	269	6	that	that	PRON
aiti-11568	269	7	can	can	AUX
aiti-11568	269	8	affect	affect	VERB
aiti-11568	269	9	model	model	NOUN
aiti-11568	269	10	correctness	correctness	NOUN
aiti-11568	269	11	and	and	CCONJ
aiti-11568	269	12	training	training	NOUN
aiti-11568	269	13	time	time	NOUN
aiti-11568	269	14	.	.	PUNCT
aiti-11568	270	1	(	(	PUNCT
aiti-11568	270	2	epochs	epoch	NOUN
aiti-11568	270	3	can	can	AUX
aiti-11568	270	4	be	be	AUX
aiti-11568	270	5	10	10	NUM
aiti-11568	270	6	times	time	NOUN
aiti-11568	270	7	or	or	CCONJ
aiti-11568	270	8	20	20	NUM
aiti-11568	270	9	,	,	PUNCT
aiti-11568	270	10	or	or	CCONJ
aiti-11568	270	11	30	30	NUM
aiti-11568	270	12	times	time	NOUN
aiti-11568	270	13	depending	depend	VERB
aiti-11568	270	14	on	on	ADP
aiti-11568	270	15	how	how	SCONJ
aiti-11568	270	16	long	long	ADV
aiti-11568	270	17	the	the	DET
aiti-11568	270	18	training	training	NOUN
aiti-11568	270	19	is	be	AUX
aiti-11568	270	20	)	)	PUNCT
aiti-11568	270	21	.	.	PUNCT
aiti-11568	271	1	the	the	DET
aiti-11568	271	2	following	follow	VERB
aiti-11568	271	3	hyperparameters	hyperparameter	NOUN
aiti-11568	271	4	are	be	AUX
aiti-11568	271	5	used	use	VERB
aiti-11568	271	6	during	during	ADP
aiti-11568	271	7	tuning	tune	VERB
aiti-11568	271	8	:	:	PUNCT
aiti-11568	271	9	first	first	ADV
aiti-11568	271	10	,	,	PUNCT
aiti-11568	271	11	the	the	DET
aiti-11568	271	12	number	number	NOUN
aiti-11568	271	13	of	of	ADP
aiti-11568	271	14	training	training	NOUN
aiti-11568	271	15	intervals	interval	NOUN
aiti-11568	271	16	is	be	AUX
aiti-11568	271	17	evaluated	evaluate	VERB
aiti-11568	271	18	with	with	ADP
aiti-11568	271	19	a	a	DET
aiti-11568	271	20	value	value	NOUN
aiti-11568	271	21	of	of	ADP
aiti-11568	271	22	20	20	NUM
aiti-11568	271	23	-	-	SYM
aiti-11568	271	24	25	25	NUM
aiti-11568	271	25	-	-	SYM
aiti-11568	271	26	30	30	NUM
aiti-11568	271	27	to	to	PART
aiti-11568	271	28	determine	determine	VERB
aiti-11568	271	29	the	the	DET
aiti-11568	271	30	appropriate	appropriate	ADJ
aiti-11568	271	31	time	time	NOUN
aiti-11568	271	32	threshold	threshold	NOUN
aiti-11568	271	33	.	.	PUNCT
aiti-11568	272	1	next	next	ADV
aiti-11568	272	2	,	,	PUNCT
aiti-11568	272	3	the	the	DET
aiti-11568	272	4	batch	batch	NOUN
aiti-11568	272	5	number	number	NOUN
aiti-11568	272	6	size	size	NOUN
aiti-11568	272	7	is	be	AUX
aiti-11568	272	8	tested	test	VERB
aiti-11568	272	9	with	with	ADP
aiti-11568	272	10	values	value	NOUN
aiti-11568	272	11	ranging	range	VERB
aiti-11568	272	12	from	from	ADP
aiti-11568	272	13	1632	1632	NUM
aiti-11568	272	14	-	-	SYM
aiti-11568	272	15	64	64	NUM
aiti-11568	272	16	,	,	PUNCT
aiti-11568	272	17	with	with	ADP
aiti-11568	272	18	the	the	DET
aiti-11568	272	19	default	default	NOUN
aiti-11568	272	20	batch	batch	NOUN
aiti-11568	272	21	number	number	NOUN
aiti-11568	272	22	being	be	AUX
aiti-11568	272	23	32	32	NUM
aiti-11568	272	24	.	.	PUNCT
aiti-11568	273	1	finally	finally	ADV
aiti-11568	273	2	,	,	PUNCT
aiti-11568	273	3	the	the	DET
aiti-11568	273	4	hidden	hide	VERB
aiti-11568	273	5	layer	layer	NOUN
aiti-11568	273	6	is	be	AUX
aiti-11568	273	7	tested	test	VERB
aiti-11568	273	8	with	with	ADP
aiti-11568	273	9	[	[	X
aiti-11568	273	10	1024	1024	NUM
aiti-11568	273	11	,	,	PUNCT
aiti-11568	273	12	512	512	NUM
aiti-11568	273	13	,	,	PUNCT
aiti-11568	273	14	256	256	NUM
aiti-11568	273	15	]	]	PUNCT
aiti-11568	273	16	,	,	PUNCT
aiti-11568	273	17	[	[	X
aiti-11568	273	18	512	512	NUM
aiti-11568	273	19	,	,	PUNCT
aiti-11568	273	20	128	128	NUM
aiti-11568	273	21	]	]	PUNCT
aiti-11568	273	22	,	,	PUNCT
aiti-11568	273	23	and	and	CCONJ
aiti-11568	273	24	the	the	DET
aiti-11568	273	25	learning	learning	NOUN
aiti-11568	273	26	rate	rate	NOUN
aiti-11568	273	27	is	be	AUX
aiti-11568	273	28	tested	test	VERB
aiti-11568	273	29	with	with	ADP
aiti-11568	273	30	[	[	X
aiti-11568	273	31	0.001	0.001	NUM
aiti-11568	273	32	]	]	PUNCT
aiti-11568	273	33	,	,	PUNCT
aiti-11568	274	1	[	[	X
aiti-11568	274	2	0.0001	0.0001	NUM
aiti-11568	274	3	]	]	PUNCT
aiti-11568	274	4	,	,	PUNCT
aiti-11568	274	5	and	and	CCONJ
aiti-11568	274	6	[	[	X
aiti-11568	274	7	0.00001	0.00001	NUM
aiti-11568	274	8	]	]	X
aiti-11568	274	9	.	.	PUNCT
aiti-11568	275	1	each	each	DET
aiti-11568	275	2	model	model	NOUN
aiti-11568	275	3	training	training	NOUN
aiti-11568	275	4	implementation	implementation	NOUN
aiti-11568	275	5	will	will	AUX
aiti-11568	275	6	only	only	ADV
aiti-11568	275	7	change	change	VERB
aiti-11568	275	8	one	one	NUM
aiti-11568	275	9	of	of	ADP
aiti-11568	275	10	the	the	DET
aiti-11568	275	11	hyperparameters	hyperparameter	NOUN
aiti-11568	275	12	described	describe	VERB
aiti-11568	275	13	above	above	ADV
aiti-11568	275	14	to	to	PART
aiti-11568	275	15	avoid	avoid	VERB
aiti-11568	275	16	overfitting	overfitte	VERB
aiti-11568	275	17	and	and	CCONJ
aiti-11568	275	18	make	make	VERB
aiti-11568	275	19	them	they	PRON
aiti-11568	275	20	easy	easy	ADJ
aiti-11568	275	21	to	to	PART
aiti-11568	275	22	manipulate	manipulate	VERB
aiti-11568	275	23	.	.	PUNCT
aiti-11568	276	1	members	member	NOUN
aiti-11568	276	2	of	of	ADP
aiti-11568	276	3	the	the	DET
aiti-11568	276	4	group	group	NOUN
aiti-11568	276	5	are	be	AUX
aiti-11568	276	6	working	work	VERB
aiti-11568	276	7	to	to	PART
aiti-11568	276	8	refine	refine	VERB
aiti-11568	276	9	those	those	DET
aiti-11568	276	10	hyperparameters	hyperparameter	NOUN
aiti-11568	276	11	further	far	ADV
aiti-11568	276	12	.	.	PUNCT
aiti-11568	277	1	adjusting	adjust	VERB
aiti-11568	277	2	the	the	DET
aiti-11568	277	3	batch	batch	NOUN
aiti-11568	277	4	size	size	NOUN
aiti-11568	277	5	is	be	AUX
aiti-11568	277	6	to	to	PART
aiti-11568	277	7	use	use	VERB
aiti-11568	277	8	how	how	SCONJ
aiti-11568	277	9	much	much	ADJ
aiti-11568	277	10	data	datum	NOUN
aiti-11568	277	11	each	each	DET
aiti-11568	277	12	time	time	NOUN
aiti-11568	277	13	has	have	AUX
aiti-11568	277	14	been	be	AUX
aiti-11568	277	15	calculated	calculate	VERB
aiti-11568	277	16	and	and	CCONJ
aiti-11568	277	17	update	update	VERB
aiti-11568	277	18	the	the	DET
aiti-11568	277	19	coefficient	coefficient	NOUN
aiti-11568	277	20	.	.	PUNCT
aiti-11568	278	1	the	the	PRON
aiti-11568	278	2	larger	large	ADJ
aiti-11568	278	3	the	the	DET
aiti-11568	278	4	batch	batch	NOUN
aiti-11568	278	5	size	size	NOUN
aiti-11568	278	6	,	,	PUNCT
aiti-11568	278	7	the	the	DET
aiti-11568	278	8	more	more	ADJ
aiti-11568	278	9	vectorization	vectorization	NOUN
aiti-11568	278	10	the	the	DET
aiti-11568	278	11	application	application	NOUN
aiti-11568	278	12	can	can	AUX
aiti-11568	278	13	be	be	AUX
aiti-11568	278	14	calculated	calculate	VERB
aiti-11568	278	15	.	.	PUNCT
aiti-11568	279	1	when	when	SCONJ
aiti-11568	279	2	fine	fine	ADV
aiti-11568	279	3	-	-	PUNCT
aiti-11568	279	4	tuning	tune	VERB
aiti-11568	279	5	the	the	DET
aiti-11568	279	6	number	number	NOUN
aiti-11568	279	7	of	of	ADP
aiti-11568	279	8	epochs	epoch	NOUN
aiti-11568	279	9	,	,	PUNCT
aiti-11568	279	10	it	it	PRON
aiti-11568	279	11	only	only	ADV
aiti-11568	279	12	performs	perform	VERB
aiti-11568	279	13	more	more	ADV
aiti-11568	279	14	or	or	CCONJ
aiti-11568	279	15	less	less	ADJ
aiti-11568	279	16	traversal	traversal	NOUN
aiti-11568	279	17	in	in	ADP
aiti-11568	279	18	a	a	DET
aiti-11568	279	19	single	single	ADJ
aiti-11568	279	20	train	train	NOUN
aiti-11568	279	21	.	.	PUNCT
aiti-11568	280	1	in	in	ADP
aiti-11568	280	2	case	case	NOUN
aiti-11568	280	3	the	the	DET
aiti-11568	280	4	result	result	NOUN
aiti-11568	280	5	is	be	AUX
aiti-11568	280	6	underfitting	underfitting	ADJ
aiti-11568	280	7	,	,	PUNCT
aiti-11568	280	8	which	which	PRON
aiti-11568	280	9	leads	lead	VERB
aiti-11568	280	10	to	to	ADP
aiti-11568	280	11	the	the	DET
aiti-11568	280	12	need	need	NOUN
aiti-11568	280	13	to	to	PART
aiti-11568	280	14	increase	increase	VERB
aiti-11568	280	15	the	the	DET
aiti-11568	280	16	complexity	complexity	NOUN
aiti-11568	280	17	of	of	ADP
aiti-11568	280	18	the	the	DET
aiti-11568	280	19	model	model	NOUN
aiti-11568	280	20	(	(	PUNCT
aiti-11568	280	21	increase	increase	VERB
aiti-11568	280	22	the	the	DET
aiti-11568	280	23	number	number	NOUN
aiti-11568	280	24	of	of	ADP
aiti-11568	280	25	hidden	hide	VERB
aiti-11568	280	26	layers	layer	NOUN
aiti-11568	280	27	and	and	CCONJ
aiti-11568	280	28	the	the	DET
aiti-11568	280	29	number	number	NOUN
aiti-11568	280	30	of	of	ADP
aiti-11568	280	31	nodes	node	NOUN
aiti-11568	280	32	of	of	ADP
aiti-11568	280	33	that	that	DET
aiti-11568	280	34	layer	layer	NOUN
aiti-11568	280	35	)	)	PUNCT
aiti-11568	280	36	along	along	ADP
aiti-11568	280	37	with	with	ADP
aiti-11568	280	38	increasing	increase	VERB
aiti-11568	280	39	the	the	DET
aiti-11568	280	40	number	number	NOUN
aiti-11568	280	41	of	of	ADP
aiti-11568	280	42	epochs	epoch	NOUN
aiti-11568	280	43	.	.	PUNCT
aiti-11568	281	1	if	if	SCONJ
aiti-11568	281	2	the	the	DET
aiti-11568	281	3	result	result	NOUN
aiti-11568	281	4	is	be	AUX
aiti-11568	281	5	overfitting	overfitte	VERB
aiti-11568	281	6	,	,	PUNCT
aiti-11568	281	7	the	the	DET
aiti-11568	281	8	solution	solution	NOUN
aiti-11568	281	9	is	be	AUX
aiti-11568	281	10	to	to	PART
aiti-11568	281	11	insert	insert	VERB
aiti-11568	281	12	more	more	ADJ
aiti-11568	281	13	datasets	dataset	NOUN
aiti-11568	281	14	,	,	PUNCT
aiti-11568	281	15	perform	perform	VERB
aiti-11568	281	16	data	datum	NOUN
aiti-11568	281	17	augmentation	augmentation	NOUN
aiti-11568	281	18	,	,	PUNCT
aiti-11568	281	19	and	and	CCONJ
aiti-11568	281	20	refine	refine	VERB
aiti-11568	281	21	the	the	DET
aiti-11568	281	22	dropout	dropout	NOUN
aiti-11568	281	23	coefficient	coefficient	NOUN
aiti-11568	281	24	to	to	PART
aiti-11568	281	25	remove	remove	VERB
aiti-11568	281	26	a	a	DET
aiti-11568	281	27	few	few	ADJ
aiti-11568	281	28	percent	percent	NOUN
aiti-11568	281	29	.	.	PUNCT
aiti-11568	282	1	4	4	X
aiti-11568	282	2	.	.	NUM
aiti-11568	282	3	experiments	experiment	NOUN
aiti-11568	282	4	4.1	4.1	NUM
aiti-11568	282	5	.	.	PUNCT
aiti-11568	283	1	environmental	environmental	ADJ
aiti-11568	283	2	settings	setting	NOUN
aiti-11568	283	3	the	the	DET
aiti-11568	283	4	experiments	experiment	NOUN
aiti-11568	283	5	were	be	AUX
aiti-11568	283	6	implemented	implement	VERB
aiti-11568	283	7	on	on	ADP
aiti-11568	283	8	google	google	PROPN
aiti-11568	283	9	colab	colab	PROPN
aiti-11568	283	10	with	with	ADP
aiti-11568	283	11	12	12	NUM
aiti-11568	283	12	gb	gb	NOUN
aiti-11568	283	13	of	of	ADP
aiti-11568	283	14	ram	ram	NOUN
aiti-11568	283	15	and	and	CCONJ
aiti-11568	283	16	an	an	DET
aiti-11568	283	17	nvidia	nvidia	PROPN
aiti-11568	283	18	k80	k80	PROPN
aiti-11568	283	19	gpu	gpu	PROPN
aiti-11568	283	20	with	with	ADP
aiti-11568	283	21	12	12	NUM
aiti-11568	283	22	gb	gb	NOUN
aiti-11568	283	23	of	of	ADP
aiti-11568	283	24	gddr5	gddr5	PROPN
aiti-11568	283	25	vram	vram	NOUN
aiti-11568	283	26	.	.	PUNCT
aiti-11568	284	1	the	the	DET
aiti-11568	284	2	proposed	propose	VERB
aiti-11568	284	3	model	model	NOUN
aiti-11568	284	4	was	be	AUX
aiti-11568	284	5	trained	train	VERB
aiti-11568	284	6	using	use	VERB
aiti-11568	284	7	30	30	NUM
aiti-11568	284	8	epochs	epoch	NOUN
aiti-11568	284	9	and	and	CCONJ
aiti-11568	284	10	a	a	DET
aiti-11568	284	11	batch	batch	NOUN
aiti-11568	284	12	size	size	NOUN
aiti-11568	284	13	of	of	ADP
aiti-11568	284	14	32	32	NUM
aiti-11568	284	15	.	.	PUNCT
aiti-11568	285	1	the	the	DET
aiti-11568	285	2	specifications	specification	NOUN
aiti-11568	285	3	of	of	ADP
aiti-11568	285	4	the	the	DET
aiti-11568	285	5	google	google	PROPN
aiti-11568	285	6	colab	colab	PROPN
aiti-11568	285	7	are	be	AUX
aiti-11568	285	8	shown	show	VERB
aiti-11568	285	9	in	in	ADP
aiti-11568	285	10	table	table	NOUN
aiti-11568	285	11	3	3	NUM
aiti-11568	285	12	.	.	PUNCT
aiti-11568	285	13	table	table	NOUN
aiti-11568	285	14	3	3	NUM
aiti-11568	285	15	google	google	PROPN
aiti-11568	285	16	colab	colab	PROPN
aiti-11568	285	17	proposed	propose	VERB
aiti-11568	285	18	specification	specification	NOUN
aiti-11568	285	19	parameters	parameter	NOUN
aiti-11568	285	20	google	google	PROPN
aiti-11568	285	21	colab	colab	PROPN
aiti-11568	285	22	cpu	cpu	PROPN
aiti-11568	285	23	model	model	PROPN
aiti-11568	285	24	name	name	PROPN
aiti-11568	285	25	intel(r	intel(r	PROPN
aiti-11568	285	26	)	)	PUNCT
aiti-11568	285	27	xeon(r	xeon(r	PROPN
aiti-11568	285	28	)	)	PUNCT
aiti-11568	285	29	cpu	cpu	NOUN
aiti-11568	285	30	frequency	frequency	NOUN
aiti-11568	285	31	2.30	2.30	NUM
aiti-11568	285	32	ghz	ghz	NOUN
aiti-11568	285	33	no	no	NOUN
aiti-11568	285	34	.	.	PUNCT
aiti-11568	286	1	cpu	cpu	NOUN
aiti-11568	286	2	cores	core	NOUN
aiti-11568	286	3	2	2	NUM
aiti-11568	286	4	cpu	cpu	NOUN
aiti-11568	286	5	family	family	NOUN
aiti-11568	286	6	haswell	haswell	PROPN
aiti-11568	286	7	available	available	PROPN
aiti-11568	286	8	ram	ram	PROPN
aiti-11568	286	9	12	12	NUM
aiti-11568	286	10	gb	gb	NOUN
aiti-11568	286	11	disk	disk	NOUN
aiti-11568	286	12	space	space	NOUN
aiti-11568	286	13	25	25	NUM
aiti-11568	286	14	gb	gb	ADP
aiti-11568	286	15	4.2	4.2	NUM
aiti-11568	286	16	.	.	PUNCT
aiti-11568	287	1	overall	overall	ADJ
aiti-11568	287	2	evaluation	evaluation	NOUN
aiti-11568	287	3	this	this	DET
aiti-11568	287	4	study	study	NOUN
aiti-11568	287	5	divided	divide	VERB
aiti-11568	287	6	the	the	DET
aiti-11568	287	7	data	datum	NOUN
aiti-11568	287	8	set	set	VERB
aiti-11568	287	9	into	into	ADP
aiti-11568	287	10	three	three	NUM
aiti-11568	287	11	sets	set	NOUN
aiti-11568	287	12	for	for	ADP
aiti-11568	287	13	model	model	NOUN
aiti-11568	287	14	evaluation	evaluation	NOUN
aiti-11568	287	15	,	,	PUNCT
aiti-11568	287	16	using	use	VERB
aiti-11568	287	17	a	a	DET
aiti-11568	287	18	ratio	ratio	NOUN
aiti-11568	287	19	of	of	ADP
aiti-11568	287	20	60	60	NUM
aiti-11568	287	21	-	-	SYM
aiti-11568	287	22	20	20	NUM
aiti-11568	287	23	-	-	SYM
aiti-11568	287	24	20	20	NUM
aiti-11568	287	25	for	for	ADP
aiti-11568	287	26	training	training	NOUN
aiti-11568	287	27	,	,	PUNCT
aiti-11568	287	28	validation	validation	NOUN
aiti-11568	287	29	,	,	PUNCT
aiti-11568	287	30	and	and	CCONJ
aiti-11568	287	31	testing	testing	NOUN
aiti-11568	287	32	,	,	PUNCT
aiti-11568	287	33	respectively	respectively	ADV
aiti-11568	287	34	,	,	PUNCT
aiti-11568	287	35	with	with	ADP
aiti-11568	287	36	accuracy	accuracy	NOUN
aiti-11568	287	37	,	,	PUNCT
aiti-11568	287	38	loss	loss	NOUN
aiti-11568	287	39	,	,	PUNCT
aiti-11568	287	40	and	and	CCONJ
aiti-11568	287	41	f1	f1	ADJ
aiti-11568	287	42	-	-	PUNCT
aiti-11568	287	43	score	score	NOUN
aiti-11568	287	44	metrics	metric	NOUN
aiti-11568	287	45	.	.	PUNCT
aiti-11568	288	1	the	the	DET
aiti-11568	288	2	authors	author	NOUN
aiti-11568	288	3	show	show	VERB
aiti-11568	288	4	that	that	SCONJ
aiti-11568	288	5	the	the	DET
aiti-11568	288	6	validation	validation	NOUN
aiti-11568	288	7	set	set	NOUN
aiti-11568	288	8	aims	aim	VERB
aiti-11568	288	9	to	to	PART
aiti-11568	288	10	select	select	VERB
aiti-11568	288	11	the	the	DET
aiti-11568	288	12	best	good	ADJ
aiti-11568	288	13	model	model	NOUN
aiti-11568	288	14	to	to	PART
aiti-11568	288	15	apply	apply	VERB
aiti-11568	288	16	to	to	ADP
aiti-11568	288	17	the	the	DET
aiti-11568	288	18	test	test	NOUN
aiti-11568	288	19	set	set	NOUN
aiti-11568	288	20	.	.	PUNCT
aiti-11568	289	1	first	first	ADV
aiti-11568	289	2	,	,	PUNCT
aiti-11568	289	3	the	the	DET
aiti-11568	289	4	authors	author	NOUN
aiti-11568	289	5	compare	compare	VERB
aiti-11568	289	6	the	the	DET
aiti-11568	289	7	proposed	propose	VERB
aiti-11568	289	8	model	model	NOUN
aiti-11568	289	9	mobilenet	mobilenet	PROPN
aiti-11568	289	10	,	,	PUNCT
aiti-11568	289	11	with	with	ADP
aiti-11568	289	12	well	well	ADV
aiti-11568	289	13	-	-	PUNCT
aiti-11568	289	14	known	know	VERB
aiti-11568	289	15	cnns	cnn	NOUN
aiti-11568	289	16	to	to	PART
aiti-11568	289	17	compare	compare	VERB
aiti-11568	289	18	the	the	DET
aiti-11568	289	19	results	result	NOUN
aiti-11568	289	20	with	with	ADP
aiti-11568	289	21	mobilenet	mobilenet	NOUN
aiti-11568	289	22	,	,	PUNCT
aiti-11568	289	23	vgg16	vgg16	PROPN
aiti-11568	289	24	,	,	PUNCT
aiti-11568	289	25	vgg19	vgg19	PROPN
aiti-11568	289	26	,	,	PUNCT
aiti-11568	289	27	densenet	densenet	NOUN
aiti-11568	289	28	,	,	PUNCT
aiti-11568	289	29	and	and	CCONJ
aiti-11568	289	30	xception	xception	NOUN
aiti-11568	289	31	.	.	PUNCT
aiti-11568	290	1	the	the	DET
aiti-11568	290	2	research	research	NOUN
aiti-11568	290	3	conducted	conduct	VERB
aiti-11568	290	4	three	three	NUM
aiti-11568	290	5	experiments	experiment	NOUN
aiti-11568	290	6	in	in	ADP
aiti-11568	290	7	this	this	DET
aiti-11568	290	8	study	study	NOUN
aiti-11568	290	9	.	.	PUNCT
aiti-11568	291	1	scenario	scenario	NOUN
aiti-11568	291	2	1	1	NUM
aiti-11568	291	3	used	use	VERB
aiti-11568	291	4	data	datum	NOUN
aiti-11568	291	5	from	from	ADP
aiti-11568	291	6	two	two	NUM
aiti-11568	291	7	categories	category	NOUN
aiti-11568	291	8	:	:	PUNCT
aiti-11568	291	9	1	1	NUM
aiti-11568	291	10	of	of	ADP
aiti-11568	291	11	tomato	tomato	NOUN
aiti-11568	291	12	leaf	leaf	NOUN
aiti-11568	291	13	diseases	disease	NOUN
aiti-11568	291	14	(	(	PUNCT
aiti-11568	291	15	examples	example	NOUN
aiti-11568	291	16	below	below	ADV
aiti-11568	291	17	are	be	AUX
aiti-11568	291	18	an	an	DET
aiti-11568	291	19	early	early	ADJ
aiti-11568	291	20	blight	blight	NOUN
aiti-11568	291	21	,	,	PUNCT
aiti-11568	291	22	yellow	yellow	ADJ
aiti-11568	291	23	curl	curl	NOUN
aiti-11568	291	24	,	,	PUNCT
aiti-11568	291	25	or	or	CCONJ
aiti-11568	291	26	septoria	septoria	ADJ
aiti-11568	291	27	with	with	ADP
aiti-11568	291	28	healthy	healthy	ADJ
aiti-11568	291	29	leaves	leave	NOUN
aiti-11568	291	30	)	)	PUNCT
aiti-11568	291	31	.	.	PUNCT
aiti-11568	292	1	the	the	DET
aiti-11568	292	2	proposed	propose	VERB
aiti-11568	292	3	model	model	NOUN
aiti-11568	292	4	was	be	AUX
aiti-11568	292	5	then	then	ADV
aiti-11568	292	6	trained	train	VERB
aiti-11568	292	7	,	,	PUNCT
aiti-11568	292	8	evaluated	evaluated	ADJ
aiti-11568	292	9	,	,	PUNCT
aiti-11568	292	10	and	and	CCONJ
aiti-11568	292	11	tested	test	VERB
aiti-11568	292	12	.	.	PUNCT
aiti-11568	293	1	next	next	ADV
aiti-11568	293	2	,	,	PUNCT
aiti-11568	293	3	compare	compare	VERB
aiti-11568	293	4	the	the	DET
aiti-11568	293	5	results	result	NOUN
aiti-11568	293	6	of	of	ADP
aiti-11568	293	7	the	the	DET
aiti-11568	293	8	proposed	propose	VERB
aiti-11568	293	9	model	model	NOUN
aiti-11568	293	10	with	with	ADP
aiti-11568	293	11	the	the	DET
aiti-11568	293	12	results	result	NOUN
aiti-11568	293	13	of	of	ADP
aiti-11568	293	14	other	other	ADJ
aiti-11568	293	15	mobilenet	mobilenet	NOUN
aiti-11568	293	16	and	and	CCONJ
aiti-11568	293	17	cnn	cnn	PROPN
aiti-11568	293	18	models	model	NOUN
aiti-11568	293	19	.	.	PUNCT
aiti-11568	294	1	then	then	ADV
aiti-11568	294	2	,	,	PUNCT
aiti-11568	294	3	continue	continue	VERB
aiti-11568	294	4	to	to	PART
aiti-11568	294	5	alternately	alternately	ADV
aiti-11568	294	6	compare	compare	VERB
aiti-11568	294	7	healthy	healthy	ADJ
aiti-11568	294	8	leaves	leave	NOUN
aiti-11568	294	9	with	with	ADP
aiti-11568	294	10	each	each	DET
aiti-11568	294	11	other	other	ADJ
aiti-11568	294	12	disease	disease	NOUN
aiti-11568	294	13	,	,	PUNCT
aiti-11568	294	14	including	include	VERB
aiti-11568	294	15	yellow	yellow	ADJ
aiti-11568	294	16	curl	curl	NOUN
aiti-11568	294	17	and	and	CCONJ
aiti-11568	294	18	septoria	septoria	PROPN
aiti-11568	294	19	.	.	PUNCT
aiti-11568	295	1	scenario	scenario	PROPN
aiti-11568	295	2	2	2	NUM
aiti-11568	295	3	was	be	AUX
aiti-11568	295	4	performed	perform	VERB
aiti-11568	295	5	similarly	similarly	ADV
aiti-11568	295	6	but	but	CCONJ
aiti-11568	295	7	with	with	ADP
aiti-11568	295	8	three	three	NUM
aiti-11568	295	9	data	datum	NOUN
aiti-11568	295	10	types	type	NOUN
aiti-11568	295	11	:	:	PUNCT
aiti-11568	295	12	early	early	ADJ
aiti-11568	295	13	blight	blight	NOUN
aiti-11568	295	14	,	,	PUNCT
aiti-11568	295	15	septoria	septoria	NOUN
aiti-11568	295	16	,	,	PUNCT
aiti-11568	295	17	and	and	CCONJ
aiti-11568	295	18	yellow	yellow	ADJ
aiti-11568	295	19	curl	curl	NOUN
aiti-11568	295	20	,	,	PUNCT
aiti-11568	295	21	and	and	CCONJ
aiti-11568	295	22	the	the	DET
aiti-11568	295	23	last	last	ADJ
aiti-11568	295	24	thing	thing	NOUN
aiti-11568	295	25	is	be	AUX
aiti-11568	295	26	to	to	PART
aiti-11568	295	27	compare	compare	VERB
aiti-11568	295	28	the	the	DET
aiti-11568	295	29	proposed	propose	VERB
aiti-11568	295	30	model	model	NOUN
aiti-11568	295	31	with	with	ADP
aiti-11568	295	32	the	the	DET
aiti-11568	295	33	most	most	ADV
aiti-11568	295	34	advanced	advanced	ADJ
aiti-11568	295	35	methods	method	NOUN
aiti-11568	295	36	.	.	PUNCT
aiti-11568	296	1	finally	finally	ADV
aiti-11568	296	2	,	,	PUNCT
aiti-11568	296	3	the	the	DET
aiti-11568	296	4	data	datum	NOUN
aiti-11568	296	5	set	set	VERB
aiti-11568	296	6	is	be	AUX
aiti-11568	296	7	trained	train	VERB
aiti-11568	296	8	using	use	VERB
aiti-11568	296	9	the	the	DET
aiti-11568	296	10	mobilenet	mobilenet	NOUN
aiti-11568	296	11	model	model	NOUN
aiti-11568	296	12	in	in	ADP
aiti-11568	296	13	two	two	NUM
aiti-11568	296	14	stages	stage	NOUN
aiti-11568	296	15	:	:	PUNCT
aiti-11568	296	16	transfer	transfer	NOUN
aiti-11568	296	17	learning	learning	NOUN
aiti-11568	296	18	and	and	CCONJ
aiti-11568	296	19	fine	fine	ADV
aiti-11568	296	20	-	-	PUNCT
aiti-11568	296	21	tuning	tuning	NOUN
aiti-11568	296	22	.	.	PUNCT
aiti-11568	297	1	advances	advance	NOUN
aiti-11568	297	2	in	in	ADP
aiti-11568	297	3	technology	technology	NOUN
aiti-11568	297	4	innovation	innovation	NOUN
aiti-11568	297	5	,	,	PUNCT
aiti-11568	297	6	vol	vol	NOUN
aiti-11568	297	7	.	.	PROPN
aiti-11568	297	8	8	8	NUM
aiti-11568	297	9	,	,	PUNCT
aiti-11568	297	10	no	no	INTJ
aiti-11568	297	11	.	.	NOUN
aiti-11568	297	12	3	3	NUM
aiti-11568	297	13	,	,	PUNCT
aiti-11568	297	14	2023	2023	NUM
aiti-11568	297	15	,	,	PUNCT
aiti-11568	297	16	pp	pp	ADJ
aiti-11568	297	17	.	.	PUNCT
aiti-11568	298	1	192	192	NUM
aiti-11568	298	2	-	-	SYM
aiti-11568	298	3	209	209	NUM
aiti-11568	298	4	201	201	NUM
aiti-11568	298	5	scenario	scenario	NOUN
aiti-11568	298	6	1	1	NUM
aiti-11568	298	7	includes	include	VERB
aiti-11568	298	8	the	the	DET
aiti-11568	298	9	following	follow	VERB
aiti-11568	298	10	sequences	sequence	NOUN
aiti-11568	298	11	:	:	PUNCT
aiti-11568	298	12	first	first	ADV
aiti-11568	298	13	,	,	PUNCT
aiti-11568	298	14	the	the	DET
aiti-11568	298	15	study	study	NOUN
aiti-11568	298	16	collects	collect	VERB
aiti-11568	298	17	data	datum	NOUN
aiti-11568	298	18	from	from	ADP
aiti-11568	298	19	a	a	DET
aiti-11568	298	20	pair	pair	NOUN
aiti-11568	298	21	of	of	ADP
aiti-11568	298	22	types	type	NOUN
aiti-11568	298	23	present	present	ADJ
aiti-11568	298	24	in	in	ADP
aiti-11568	298	25	the	the	DET
aiti-11568	298	26	dataset	dataset	NOUN
aiti-11568	298	27	,	,	PUNCT
aiti-11568	298	28	early	early	ADJ
aiti-11568	298	29	blight	blight	NOUN
aiti-11568	298	30	/	/	SYM
aiti-11568	298	31	septoria	septoria	NOUN
aiti-11568	298	32	/	/	SYM
aiti-11568	298	33	yellow	yellow	ADJ
aiti-11568	298	34	curl	curl	NOUN
aiti-11568	298	35	and	and	CCONJ
aiti-11568	298	36	healthy	healthy	ADJ
aiti-11568	298	37	leaves	leave	NOUN
aiti-11568	298	38	.	.	PUNCT
aiti-11568	299	1	then	then	ADV
aiti-11568	299	2	,	,	PUNCT
aiti-11568	299	3	the	the	DET
aiti-11568	299	4	training	training	NOUN
aiti-11568	299	5	is	be	AUX
aiti-11568	299	6	performed	perform	VERB
aiti-11568	299	7	,	,	PUNCT
aiti-11568	299	8	analyzed	analyze	VERB
aiti-11568	299	9	,	,	PUNCT
aiti-11568	299	10	and	and	CCONJ
aiti-11568	299	11	tested	test	VERB
aiti-11568	299	12	with	with	ADP
aiti-11568	299	13	the	the	DET
aiti-11568	299	14	provided	provide	VERB
aiti-11568	299	15	model	model	NOUN
aiti-11568	299	16	.	.	PUNCT
aiti-11568	300	1	finally	finally	ADV
aiti-11568	300	2	,	,	PUNCT
aiti-11568	300	3	the	the	DET
aiti-11568	300	4	study	study	NOUN
aiti-11568	300	5	compares	compare	VERB
aiti-11568	300	6	the	the	DET
aiti-11568	300	7	results	result	NOUN
aiti-11568	300	8	of	of	ADP
aiti-11568	300	9	the	the	DET
aiti-11568	300	10	proposed	propose	VERB
aiti-11568	300	11	model	model	NOUN
aiti-11568	300	12	to	to	ADP
aiti-11568	300	13	those	those	PRON
aiti-11568	300	14	of	of	ADP
aiti-11568	300	15	different	different	ADJ
aiti-11568	300	16	cnn	cnn	PROPN
aiti-11568	300	17	designs	design	NOUN
aiti-11568	300	18	.	.	PUNCT
aiti-11568	301	1	the	the	DET
aiti-11568	301	2	goal	goal	NOUN
aiti-11568	301	3	of	of	ADP
aiti-11568	301	4	presenting	present	VERB
aiti-11568	301	5	scenario	scenario	NOUN
aiti-11568	301	6	1	1	NUM
aiti-11568	301	7	aims	aim	VERB
aiti-11568	301	8	to	to	PART
aiti-11568	301	9	evaluate	evaluate	VERB
aiti-11568	301	10	how	how	SCONJ
aiti-11568	301	11	the	the	DET
aiti-11568	301	12	proposed	propose	VERB
aiti-11568	301	13	model	model	NOUN
aiti-11568	301	14	differentiates	differentiate	NOUN
aiti-11568	301	15	between	between	ADP
aiti-11568	301	16	healthy	healthy	ADJ
aiti-11568	301	17	leaves	leave	NOUN
aiti-11568	301	18	and	and	CCONJ
aiti-11568	301	19	those	those	PRON
aiti-11568	301	20	displaying	display	VERB
aiti-11568	301	21	indications	indication	NOUN
aiti-11568	301	22	of	of	ADP
aiti-11568	301	23	early	early	ADJ
aiti-11568	301	24	blight	blight	NOUN
aiti-11568	301	25	,	,	PUNCT
aiti-11568	301	26	septoria	septoria	NOUN
aiti-11568	301	27	,	,	PUNCT
aiti-11568	301	28	or	or	CCONJ
aiti-11568	301	29	yellow	yellow	ADJ
aiti-11568	301	30	curl	curl	NOUN
aiti-11568	301	31	.	.	PUNCT
aiti-11568	302	1	the	the	DET
aiti-11568	302	2	accuracy	accuracy	NOUN
aiti-11568	302	3	,	,	PUNCT
aiti-11568	302	4	f1	f1	NOUN
aiti-11568	302	5	-	-	PUNCT
aiti-11568	302	6	score	score	NOUN
aiti-11568	302	7	,	,	PUNCT
aiti-11568	302	8	and	and	CCONJ
aiti-11568	302	9	confusion	confusion	NOUN
aiti-11568	302	10	matrix	matrix	NOUN
aiti-11568	302	11	metrics	metric	NOUN
aiti-11568	302	12	are	be	AUX
aiti-11568	302	13	used	use	VERB
aiti-11568	302	14	to	to	PART
aiti-11568	302	15	evaluate	evaluate	VERB
aiti-11568	302	16	the	the	DET
aiti-11568	302	17	test	test	NOUN
aiti-11568	302	18	results	result	NOUN
aiti-11568	302	19	.	.	PUNCT
aiti-11568	303	1	scenario	scenario	NOUN
aiti-11568	303	2	2	2	NUM
aiti-11568	303	3	includes	include	VERB
aiti-11568	303	4	the	the	DET
aiti-11568	303	5	following	follow	VERB
aiti-11568	303	6	sequences	sequence	NOUN
aiti-11568	303	7	:	:	PUNCT
aiti-11568	303	8	the	the	DET
aiti-11568	303	9	scenario	scenario	NOUN
aiti-11568	303	10	collects	collect	VERB
aiti-11568	303	11	four	four	NUM
aiti-11568	303	12	disease	disease	NOUN
aiti-11568	303	13	types	type	NOUN
aiti-11568	303	14	of	of	ADP
aiti-11568	303	15	early	early	ADJ
aiti-11568	303	16	blight	blight	NOUN
aiti-11568	303	17	,	,	PUNCT
aiti-11568	303	18	septoria	septoria	ADJ
aiti-11568	303	19	,	,	PUNCT
aiti-11568	303	20	yellow	yellow	ADJ
aiti-11568	303	21	curl	curl	NOUN
aiti-11568	303	22	,	,	PUNCT
aiti-11568	303	23	and	and	CCONJ
aiti-11568	303	24	healthy	healthy	ADJ
aiti-11568	303	25	leaf	leaf	NOUN
aiti-11568	303	26	classes	class	NOUN
aiti-11568	303	27	for	for	ADP
aiti-11568	303	28	multi	multi	ADJ
aiti-11568	303	29	-	-	ADJ
aiti-11568	303	30	class	class	ADJ
aiti-11568	303	31	classification	classification	NOUN
aiti-11568	303	32	tasks	task	NOUN
aiti-11568	303	33	.	.	PUNCT
aiti-11568	304	1	first	first	ADV
aiti-11568	304	2	,	,	PUNCT
aiti-11568	304	3	the	the	DET
aiti-11568	304	4	proposed	propose	VERB
aiti-11568	304	5	model	model	NOUN
aiti-11568	304	6	is	be	AUX
aiti-11568	304	7	modified	modify	VERB
aiti-11568	304	8	with	with	ADP
aiti-11568	304	9	the	the	DET
aiti-11568	304	10	number	number	NOUN
aiti-11568	304	11	of	of	ADP
aiti-11568	304	12	outputs	output	NOUN
aiti-11568	304	13	to	to	PART
aiti-11568	304	14	be	be	AUX
aiti-11568	304	15	trained	train	VERB
aiti-11568	304	16	,	,	PUNCT
aiti-11568	304	17	evaluated	evaluate	VERB
aiti-11568	304	18	,	,	PUNCT
aiti-11568	304	19	and	and	CCONJ
aiti-11568	304	20	tested	test	VERB
aiti-11568	304	21	on	on	ADP
aiti-11568	304	22	multi	multi	ADJ
aiti-11568	304	23	-	-	ADJ
aiti-11568	304	24	class	class	ADJ
aiti-11568	304	25	classification	classification	NOUN
aiti-11568	304	26	tasks	task	NOUN
aiti-11568	304	27	.	.	PUNCT
aiti-11568	305	1	then	then	ADV
aiti-11568	305	2	,	,	PUNCT
aiti-11568	305	3	the	the	DET
aiti-11568	305	4	proposed	propose	VERB
aiti-11568	305	5	model	model	NOUN
aiti-11568	305	6	's	's	PART
aiti-11568	305	7	results	result	NOUN
aiti-11568	305	8	are	be	AUX
aiti-11568	305	9	compared	compare	VERB
aiti-11568	305	10	to	to	ADP
aiti-11568	305	11	other	other	ADJ
aiti-11568	305	12	cnn	cnn	PROPN
aiti-11568	305	13	designs	design	NOUN
aiti-11568	305	14	.	.	PUNCT
aiti-11568	306	1	the	the	DET
aiti-11568	306	2	aim	aim	NOUN
aiti-11568	306	3	of	of	ADP
aiti-11568	306	4	performing	perform	VERB
aiti-11568	306	5	this	this	DET
aiti-11568	306	6	scenario	scenario	NOUN
aiti-11568	306	7	is	be	AUX
aiti-11568	306	8	to	to	PART
aiti-11568	306	9	predict	predict	VERB
aiti-11568	306	10	and	and	CCONJ
aiti-11568	306	11	classify	classify	VERB
aiti-11568	306	12	classes	class	NOUN
aiti-11568	306	13	against	against	ADP
aiti-11568	306	14	each	each	DET
aiti-11568	306	15	other	other	ADJ
aiti-11568	306	16	accurately	accurately	ADV
aiti-11568	306	17	.	.	PUNCT
aiti-11568	307	1	therefore	therefore	ADV
aiti-11568	307	2	,	,	PUNCT
aiti-11568	307	3	the	the	DET
aiti-11568	307	4	authors	author	NOUN
aiti-11568	307	5	want	want	VERB
aiti-11568	307	6	to	to	PART
aiti-11568	307	7	test	test	VERB
aiti-11568	307	8	the	the	DET
aiti-11568	307	9	classification	classification	NOUN
aiti-11568	307	10	capacity	capacity	NOUN
aiti-11568	307	11	of	of	ADP
aiti-11568	307	12	the	the	DET
aiti-11568	307	13	proposed	propose	VERB
aiti-11568	307	14	model	model	NOUN
aiti-11568	307	15	between	between	ADP
aiti-11568	307	16	early	early	ADJ
aiti-11568	307	17	blight	blight	NOUN
aiti-11568	307	18	,	,	PUNCT
aiti-11568	307	19	septoria	septoria	ADJ
aiti-11568	307	20	,	,	PUNCT
aiti-11568	307	21	yellow	yellow	ADJ
aiti-11568	307	22	curl	curl	NOUN
aiti-11568	307	23	,	,	PUNCT
aiti-11568	307	24	and	and	CCONJ
aiti-11568	307	25	healthy	healthy	ADJ
aiti-11568	307	26	leaf	leaf	NOUN
aiti-11568	307	27	.	.	PUNCT
aiti-11568	308	1	4.3	4.3	NUM
aiti-11568	308	2	.	.	PUNCT
aiti-11568	308	3	scenario	scenario	NOUN
aiti-11568	308	4	1	1	NUM
aiti-11568	308	5	–	–	PUNCT
aiti-11568	308	6	discriminate	discriminate	VERB
aiti-11568	308	7	each	each	DET
aiti-11568	308	8	disease	disease	NOUN
aiti-11568	308	9	with	with	ADP
aiti-11568	308	10	healthy	healthy	ADJ
aiti-11568	308	11	(	(	PUNCT
aiti-11568	308	12	1	1	X
aiti-11568	308	13	)	)	PUNCT
aiti-11568	308	14	discriminate	discriminate	VERB
aiti-11568	308	15	early	early	ADJ
aiti-11568	308	16	blight	blight	NOUN
aiti-11568	308	17	and	and	CCONJ
aiti-11568	308	18	healthy	healthy	ADJ
aiti-11568	308	19	leaves	leave	NOUN
aiti-11568	308	20	in	in	ADP
aiti-11568	308	21	this	this	DET
aiti-11568	308	22	experiment	experiment	NOUN
aiti-11568	308	23	,	,	PUNCT
aiti-11568	308	24	the	the	DET
aiti-11568	308	25	study	study	NOUN
aiti-11568	308	26	used	use	VERB
aiti-11568	308	27	the	the	DET
aiti-11568	308	28	same	same	ADJ
aiti-11568	308	29	hyperparameters	hyperparameter	NOUN
aiti-11568	308	30	used	use	VERB
aiti-11568	308	31	for	for	ADP
aiti-11568	308	32	all	all	DET
aiti-11568	308	33	models	model	NOUN
aiti-11568	308	34	,	,	PUNCT
aiti-11568	308	35	including	include	VERB
aiti-11568	308	36	an	an	DET
aiti-11568	308	37	epoch	epoch	NOUN
aiti-11568	308	38	value	value	NOUN
aiti-11568	308	39	of	of	ADP
aiti-11568	308	40	30	30	NUM
aiti-11568	308	41	,	,	PUNCT
aiti-11568	308	42	a	a	DET
aiti-11568	308	43	learning	learning	NOUN
aiti-11568	308	44	rate	rate	NOUN
aiti-11568	308	45	value	value	NOUN
aiti-11568	308	46	of	of	ADP
aiti-11568	308	47	0.0001	0.0001	NUM
aiti-11568	308	48	,	,	PUNCT
aiti-11568	308	49	a	a	DET
aiti-11568	308	50	batch	batch	NOUN
aiti-11568	308	51	size	size	NOUN
aiti-11568	308	52	of	of	ADP
aiti-11568	308	53	32	32	NUM
aiti-11568	308	54	,	,	PUNCT
aiti-11568	308	55	and	and	CCONJ
aiti-11568	308	56	a	a	DET
aiti-11568	308	57	weight	weight	NOUN
aiti-11568	308	58	decay	decay	NOUN
aiti-11568	308	59	of	of	ADP
aiti-11568	308	60	0.01	0.01	NUM
aiti-11568	308	61	.	.	PUNCT
aiti-11568	309	1	the	the	DET
aiti-11568	309	2	hidden	hide	VERB
aiti-11568	309	3	layer	layer	NOUN
aiti-11568	309	4	includes	include	VERB
aiti-11568	309	5	1024	1024	NUM
aiti-11568	309	6	neurons	neuron	NOUN
aiti-11568	309	7	.	.	PUNCT
aiti-11568	310	1	in	in	ADP
aiti-11568	310	2	addition	addition	NOUN
aiti-11568	310	3	,	,	PUNCT
aiti-11568	310	4	four	four	NUM
aiti-11568	310	5	layers	layer	NOUN
aiti-11568	310	6	,	,	PUNCT
aiti-11568	310	7	including	include	VERB
aiti-11568	310	8	platten	platten	NOUN
aiti-11568	310	9	,	,	PUNCT
aiti-11568	310	10	batch	batch	NOUN
aiti-11568	310	11	normalization	normalization	NOUN
aiti-11568	310	12	,	,	PUNCT
aiti-11568	310	13	dense	dense	ADJ
aiti-11568	310	14	classes	class	NOUN
aiti-11568	310	15	with	with	ADP
aiti-11568	310	16	activation	activation	NOUN
aiti-11568	310	17	gaussian	gaussian	NOUN
aiti-11568	310	18	error	error	NOUN
aiti-11568	310	19	linear	linear	NOUN
aiti-11568	310	20	unit	unit	NOUN
aiti-11568	310	21	(	(	PUNCT
aiti-11568	310	22	gelu	gelu	NOUN
aiti-11568	310	23	)	)	PUNCT
aiti-11568	310	24	,	,	PUNCT
aiti-11568	310	25	and	and	CCONJ
aiti-11568	310	26	softmax	softmax	NOUN
aiti-11568	310	27	are	be	AUX
aiti-11568	310	28	added	add	VERB
aiti-11568	310	29	.	.	PUNCT
aiti-11568	311	1	scenario	scenario	PROPN
aiti-11568	311	2	1	1	NUM
aiti-11568	311	3	,	,	PUNCT
aiti-11568	311	4	including	include	VERB
aiti-11568	311	5	training	training	NOUN
aiti-11568	311	6	and	and	CCONJ
aiti-11568	311	7	testing	testing	NOUN
aiti-11568	311	8	results	result	NOUN
aiti-11568	311	9	,	,	PUNCT
aiti-11568	311	10	is	be	AUX
aiti-11568	311	11	shown	show	VERB
aiti-11568	311	12	in	in	ADP
aiti-11568	311	13	table	table	NOUN
aiti-11568	311	14	4	4	NUM
aiti-11568	311	15	.	.	PUNCT
aiti-11568	311	16	table	table	NOUN
aiti-11568	311	17	4	4	NUM
aiti-11568	311	18	the	the	DET
aiti-11568	311	19	classification	classification	NOUN
aiti-11568	311	20	results	result	NOUN
aiti-11568	311	21	of	of	ADP
aiti-11568	311	22	early	early	ADJ
aiti-11568	311	23	blight	blight	NOUN
aiti-11568	311	24	and	and	CCONJ
aiti-11568	311	25	healthy	healthy	ADJ
aiti-11568	311	26	leaves	leave	NOUN
aiti-11568	311	27	training	train	VERB
aiti-11568	311	28	set	set	VERB
aiti-11568	311	29	validation	validation	NOUN
aiti-11568	311	30	set	set	NOUN
aiti-11568	311	31	test	test	NOUN
aiti-11568	311	32	set	set	VERB
aiti-11568	311	33	model	model	NOUN
aiti-11568	311	34	accuracy	accuracy	NOUN
aiti-11568	311	35	loss	loss	NOUN
aiti-11568	311	36	accuracy	accuracy	NOUN
aiti-11568	311	37	loss	loss	NOUN
aiti-11568	311	38	accuracy	accuracy	NOUN
aiti-11568	311	39	f1	f1	NOUN
aiti-11568	311	40	-	-	PUNCT
aiti-11568	311	41	score	score	NOUN
aiti-11568	311	42	proposed	propose	VERB
aiti-11568	311	43	model	model	NOUN
aiti-11568	311	44	0.9951	0.9951	NUM
aiti-11568	311	45	0.0434	0.0434	NUM
aiti-11568	311	46	1.0000	1.0000	NUM
aiti-11568	311	47	0.0097	0.0097	NUM
aiti-11568	311	48	0.9868	0.9868	NUM
aiti-11568	312	1	0.9873	0.9873	NUM
aiti-11568	312	2	densenet	densenet	NOUN
aiti-11568	312	3	0.9570	0.9570	NUM
aiti-11568	312	4	0.0945	0.0945	NUM
aiti-11568	312	5	0.9516	0.9516	NUM
aiti-11568	312	6	0.3832	0.3832	NUM
aiti-11568	312	7	0.9517	0.9517	NUM
aiti-11568	312	8	0.9516	0.9516	NUM
aiti-11568	312	9	vgg16	vgg16	VERB
aiti-11568	312	10	0.9282	0.9282	NUM
aiti-11568	312	11	0.0227	0.0227	NUM
aiti-11568	312	12	0.9234	0.9234	NUM
aiti-11568	312	13	0.1175	0.1175	NUM
aiti-11568	312	14	0.9287	0.9287	NUM
aiti-11568	312	15	0.9282	0.9282	NUM
aiti-11568	312	16	vgg19	vgg19	NOUN
aiti-11568	312	17	0.9145	0.9145	NUM
aiti-11568	312	18	0.0684	0.0684	NUM
aiti-11568	312	19	0.9154	0.9154	NUM
aiti-11568	312	20	0.1542	0.1542	NUM
aiti-11568	312	21	0.9133	0.9133	NUM
aiti-11568	312	22	0.9182	0.9182	NUM
aiti-11568	312	23	xception	xception	NOUN
aiti-11568	312	24	0.8661	0.8661	NUM
aiti-11568	312	25	0.0807	0.0807	NUM
aiti-11568	312	26	0.8934	0.8934	NUM
aiti-11568	312	27	0.1023	0.1023	NUM
aiti-11568	312	28	0.8662	0.8662	NUM
aiti-11568	312	29	0.8660	0.8660	NUM
aiti-11568	312	30	mobilenet	mobilenet	NOUN
aiti-11568	312	31	0.7885	0.7885	NUM
aiti-11568	312	32	0.0354	0.0354	NUM
aiti-11568	312	33	0.8124	0.8124	NUM
aiti-11568	312	34	0.0416	0.0416	NUM
aiti-11568	312	35	0.8647	0.8647	NUM
aiti-11568	312	36	0.8434	0.8434	NUM
aiti-11568	312	37	the	the	DET
aiti-11568	312	38	training	training	NOUN
aiti-11568	312	39	and	and	CCONJ
aiti-11568	312	40	validation	validation	NOUN
aiti-11568	312	41	curves	curve	NOUN
aiti-11568	312	42	for	for	ADP
aiti-11568	312	43	accuracy	accuracy	NOUN
aiti-11568	312	44	and	and	CCONJ
aiti-11568	312	45	loss	loss	NOUN
aiti-11568	312	46	are	be	AUX
aiti-11568	312	47	shown	show	VERB
aiti-11568	312	48	in	in	ADP
aiti-11568	312	49	fig	fig	NOUN
aiti-11568	312	50	.	.	PUNCT
aiti-11568	313	1	5	5	X
aiti-11568	313	2	.	.	X
aiti-11568	313	3	transfer	transfer	NOUN
aiti-11568	313	4	-	-	PUNCT
aiti-11568	313	5	learning	learn	VERB
aiti-11568	313	6	machine	machine	NOUN
aiti-11568	313	7	-	-	PUNCT
aiti-11568	313	8	learning	learn	VERB
aiti-11568	313	9	techniques	technique	NOUN
aiti-11568	313	10	provide	provide	VERB
aiti-11568	313	11	training	training	NOUN
aiti-11568	313	12	accuracy	accuracy	NOUN
aiti-11568	313	13	of	of	ADP
aiti-11568	313	14	up	up	ADP
aiti-11568	313	15	to	to	PART
aiti-11568	313	16	95	95	NUM
aiti-11568	313	17	percent	percent	NOUN
aiti-11568	313	18	,	,	PUNCT
aiti-11568	313	19	compared	compare	VERB
aiti-11568	313	20	to	to	ADP
aiti-11568	313	21	98	98	NUM
aiti-11568	313	22	percent	percent	NOUN
aiti-11568	313	23	for	for	ADP
aiti-11568	313	24	fine	fine	ADV
aiti-11568	313	25	-	-	PUNCT
aiti-11568	313	26	tuning	tune	VERB
aiti-11568	313	27	techniques	technique	NOUN
aiti-11568	313	28	.	.	PUNCT
aiti-11568	314	1	following	follow	VERB
aiti-11568	314	2	training	training	NOUN
aiti-11568	314	3	,	,	PUNCT
aiti-11568	314	4	it	it	PRON
aiti-11568	314	5	is	be	AUX
aiti-11568	314	6	evaluated	evaluate	VERB
aiti-11568	314	7	with	with	ADP
aiti-11568	314	8	the	the	DET
aiti-11568	314	9	previously	previously	ADV
aiti-11568	314	10	indicated	indicate	VERB
aiti-11568	314	11	split	split	NOUN
aiti-11568	314	12	test	test	NOUN
aiti-11568	314	13	set	set	NOUN
aiti-11568	314	14	,	,	PUNCT
aiti-11568	314	15	yielding	yield	VERB
aiti-11568	314	16	the	the	DET
aiti-11568	314	17	confusion	confusion	NOUN
aiti-11568	314	18	matrix	matrix	NOUN
aiti-11568	314	19	model	model	NOUN
aiti-11568	314	20	shown	show	VERB
aiti-11568	314	21	in	in	ADP
aiti-11568	314	22	fig	fig	NOUN
aiti-11568	314	23	.	.	PUNCT
aiti-11568	315	1	6	6	NUM
aiti-11568	315	2	.	.	X
aiti-11568	315	3	(	(	PUNCT
aiti-11568	315	4	a	a	X
aiti-11568	315	5	)	)	PUNCT
aiti-11568	315	6	the	the	DET
aiti-11568	315	7	pre	pre	ADJ
aiti-11568	315	8	-	-	ADJ
aiti-11568	315	9	trained	train	VERB
aiti-11568	315	10	mobilenet	mobilenet	NOUN
aiti-11568	315	11	without	without	ADP
aiti-11568	315	12	fine	fine	ADV
aiti-11568	315	13	-	-	PUNCT
aiti-11568	315	14	tuning	tune	VERB
aiti-11568	315	15	accuracy	accuracy	NOUN
aiti-11568	315	16	(	(	PUNCT
aiti-11568	315	17	b	b	X
aiti-11568	315	18	)	)	PUNCT
aiti-11568	315	19	the	the	DET
aiti-11568	315	20	improved	improve	VERB
aiti-11568	315	21	mobilenet	mobilenet	NOUN
aiti-11568	315	22	accuracy	accuracy	NOUN
aiti-11568	315	23	fig	fig	NOUN
aiti-11568	315	24	.	.	PUNCT
aiti-11568	316	1	5	5	NUM
aiti-11568	317	1	the	the	DET
aiti-11568	317	2	classification	classification	NOUN
aiti-11568	317	3	results	result	NOUN
aiti-11568	317	4	of	of	ADP
aiti-11568	317	5	early	early	ADJ
aiti-11568	317	6	blight	blight	NOUN
aiti-11568	317	7	and	and	CCONJ
aiti-11568	317	8	healthy	healthy	ADJ
aiti-11568	317	9	leaves	leave	NOUN
aiti-11568	317	10	:	:	PUNCT
aiti-11568	317	11	training	training	NOUN
aiti-11568	317	12	and	and	CCONJ
aiti-11568	317	13	validation	validation	NOUN
aiti-11568	317	14	performance	performance	NOUN
aiti-11568	317	15	in	in	ADP
aiti-11568	317	16	accuracy	accuracy	NOUN
aiti-11568	317	17	and	and	CCONJ
aiti-11568	317	18	loss	loss	NOUN
aiti-11568	317	19	during	during	ADP
aiti-11568	317	20	epochs	epoch	NOUN
aiti-11568	317	21	advances	advance	NOUN
aiti-11568	317	22	in	in	ADP
aiti-11568	317	23	technology	technology	NOUN
aiti-11568	317	24	innovation	innovation	NOUN
aiti-11568	317	25	,	,	PUNCT
aiti-11568	317	26	vol	vol	NOUN
aiti-11568	317	27	.	.	PROPN
aiti-11568	317	28	8	8	NUM
aiti-11568	317	29	,	,	PUNCT
aiti-11568	317	30	no	no	INTJ
aiti-11568	317	31	.	.	NOUN
aiti-11568	317	32	3	3	NUM
aiti-11568	317	33	,	,	PUNCT
aiti-11568	317	34	2023	2023	NUM
aiti-11568	317	35	,	,	PUNCT
aiti-11568	317	36	pp	pp	ADJ
aiti-11568	317	37	.	.	PUNCT
aiti-11568	318	1	192	192	NUM
aiti-11568	318	2	-	-	SYM
aiti-11568	318	3	209	209	NUM
aiti-11568	318	4	202	202	NUM
aiti-11568	318	5	(	(	PUNCT
aiti-11568	318	6	c	c	X
aiti-11568	318	7	)	)	PUNCT
aiti-11568	318	8	the	the	DET
aiti-11568	318	9	pre	pre	ADJ
aiti-11568	318	10	-	-	ADJ
aiti-11568	318	11	trained	train	VERB
aiti-11568	318	12	mobilenet	mobilenet	NOUN
aiti-11568	318	13	without	without	ADP
aiti-11568	318	14	fine	fine	ADV
aiti-11568	318	15	-	-	PUNCT
aiti-11568	318	16	tuning	tune	VERB
aiti-11568	318	17	loss	loss	NOUN
aiti-11568	318	18	(	(	PUNCT
aiti-11568	318	19	d	d	X
aiti-11568	318	20	)	)	PUNCT
aiti-11568	318	21	the	the	DET
aiti-11568	318	22	improved	improve	VERB
aiti-11568	318	23	mobilenet	mobilenet	NOUN
aiti-11568	318	24	loss	loss	NOUN
aiti-11568	318	25	fig	fig	NOUN
aiti-11568	318	26	.	.	PUNCT
aiti-11568	319	1	5	5	NUM
aiti-11568	319	2	the	the	DET
aiti-11568	319	3	classification	classification	NOUN
aiti-11568	319	4	results	result	NOUN
aiti-11568	319	5	of	of	ADP
aiti-11568	319	6	early	early	ADJ
aiti-11568	319	7	blight	blight	NOUN
aiti-11568	319	8	and	and	CCONJ
aiti-11568	319	9	healthy	healthy	ADJ
aiti-11568	319	10	leaves	leave	NOUN
aiti-11568	319	11	:	:	PUNCT
aiti-11568	319	12	training	training	NOUN
aiti-11568	319	13	and	and	CCONJ
aiti-11568	319	14	validation	validation	NOUN
aiti-11568	319	15	performance	performance	NOUN
aiti-11568	319	16	in	in	ADP
aiti-11568	319	17	accuracy	accuracy	NOUN
aiti-11568	319	18	and	and	CCONJ
aiti-11568	319	19	loss	loss	NOUN
aiti-11568	319	20	during	during	ADP
aiti-11568	319	21	epochs	epoch	NOUN
aiti-11568	319	22	(	(	PUNCT
aiti-11568	319	23	continued	continue	VERB
aiti-11568	319	24	)	)	PUNCT
aiti-11568	319	25	from	from	ADP
aiti-11568	319	26	the	the	DET
aiti-11568	319	27	illustration	illustration	NOUN
aiti-11568	319	28	of	of	ADP
aiti-11568	319	29	figures	figure	NOUN
aiti-11568	319	30	and	and	CCONJ
aiti-11568	319	31	confusion	confusion	NOUN
aiti-11568	319	32	matrix	matrix	NOUN
aiti-11568	319	33	in	in	ADP
aiti-11568	319	34	scenario	scenario	NOUN
aiti-11568	319	35	1	1	NUM
aiti-11568	319	36	(	(	PUNCT
aiti-11568	319	37	discriminate	discriminate	VERB
aiti-11568	319	38	early	early	ADJ
aiti-11568	319	39	blight	blight	NOUN
aiti-11568	319	40	)	)	PUNCT
aiti-11568	319	41	,	,	PUNCT
aiti-11568	319	42	the	the	DET
aiti-11568	319	43	result	result	NOUN
aiti-11568	319	44	showed	show	VERB
aiti-11568	319	45	that	that	SCONJ
aiti-11568	319	46	the	the	DET
aiti-11568	319	47	training	training	NOUN
aiti-11568	319	48	process	process	NOUN
aiti-11568	319	49	of	of	ADP
aiti-11568	319	50	the	the	DET
aiti-11568	319	51	proposed	propose	VERB
aiti-11568	319	52	model	model	NOUN
aiti-11568	319	53	achieves	achieve	VERB
aiti-11568	319	54	a	a	DET
aiti-11568	319	55	promising	promising	ADJ
aiti-11568	319	56	result	result	NOUN
aiti-11568	319	57	.	.	PUNCT
aiti-11568	320	1	moreover	moreover	ADV
aiti-11568	320	2	,	,	PUNCT
aiti-11568	320	3	the	the	DET
aiti-11568	320	4	predictive	predictive	ADJ
aiti-11568	320	5	results	result	NOUN
aiti-11568	320	6	of	of	ADP
aiti-11568	320	7	the	the	DET
aiti-11568	320	8	two	two	NUM
aiti-11568	320	9	types	type	NOUN
aiti-11568	320	10	in	in	ADP
aiti-11568	320	11	the	the	DET
aiti-11568	320	12	test	test	NOUN
aiti-11568	320	13	kit	kit	NOUN
aiti-11568	320	14	achieved	achieve	VERB
aiti-11568	320	15	an	an	DET
aiti-11568	320	16	accuracy	accuracy	NOUN
aiti-11568	320	17	of	of	ADP
aiti-11568	320	18	98.57	98.57	NUM
aiti-11568	320	19	%	%	NOUN
aiti-11568	320	20	for	for	ADP
aiti-11568	320	21	early	early	ADJ
aiti-11568	320	22	blight	blight	NOUN
aiti-11568	320	23	and	and	CCONJ
aiti-11568	320	24	an	an	DET
aiti-11568	320	25	accuracy	accuracy	NOUN
aiti-11568	320	26	of	of	ADP
aiti-11568	320	27	99.5	99.5	NUM
aiti-11568	320	28	%	%	NOUN
aiti-11568	320	29	for	for	ADP
aiti-11568	320	30	healthy	healthy	ADJ
aiti-11568	320	31	leaves	leave	NOUN
aiti-11568	320	32	.	.	PUNCT
aiti-11568	321	1	these	these	DET
aiti-11568	321	2	results	result	NOUN
aiti-11568	321	3	prove	prove	VERB
aiti-11568	321	4	that	that	SCONJ
aiti-11568	321	5	the	the	DET
aiti-11568	321	6	proposed	propose	VERB
aiti-11568	321	7	model	model	NOUN
aiti-11568	321	8	can	can	AUX
aiti-11568	321	9	classify	classify	VERB
aiti-11568	321	10	early	early	ADJ
aiti-11568	321	11	blight	blight	NOUN
aiti-11568	321	12	and	and	CCONJ
aiti-11568	321	13	healthy	healthy	ADJ
aiti-11568	321	14	leaves	leave	NOUN
aiti-11568	321	15	.	.	PUNCT
aiti-11568	322	1	both	both	DET
aiti-11568	322	2	results	result	NOUN
aiti-11568	322	3	achieved	achieve	VERB
aiti-11568	322	4	more	more	ADJ
aiti-11568	322	5	than	than	ADP
aiti-11568	322	6	90	90	NUM
aiti-11568	322	7	%	%	NOUN
aiti-11568	322	8	accuracy	accuracy	NOUN
aiti-11568	322	9	.	.	PUNCT
aiti-11568	323	1	fig	fig	NOUN
aiti-11568	323	2	.	.	PUNCT
aiti-11568	324	1	6	6	NUM
aiti-11568	324	2	confusion	confusion	NOUN
aiti-11568	324	3	matrix	matrix	NOUN
aiti-11568	324	4	of	of	ADP
aiti-11568	324	5	scenario	scenario	NOUN
aiti-11568	324	6	1	1	NUM
aiti-11568	324	7	(	(	PUNCT
aiti-11568	324	8	discriminate	discriminate	VERB
aiti-11568	324	9	early	early	ADJ
aiti-11568	324	10	blight	blight	NOUN
aiti-11568	324	11	)	)	PUNCT
aiti-11568	324	12	(	(	PUNCT
aiti-11568	324	13	2	2	X
aiti-11568	324	14	)	)	PUNCT
aiti-11568	324	15	discriminate	discriminate	VERB
aiti-11568	324	16	yellow	yellow	ADJ
aiti-11568	324	17	curl	curl	NOUN
aiti-11568	324	18	and	and	CCONJ
aiti-11568	324	19	healthy	healthy	ADJ
aiti-11568	324	20	leaves	leave	NOUN
aiti-11568	324	21	in	in	ADP
aiti-11568	324	22	this	this	DET
aiti-11568	324	23	experiment	experiment	NOUN
aiti-11568	324	24	,	,	PUNCT
aiti-11568	324	25	the	the	DET
aiti-11568	324	26	authors	author	NOUN
aiti-11568	324	27	used	use	VERB
aiti-11568	324	28	the	the	DET
aiti-11568	324	29	same	same	ADJ
aiti-11568	324	30	hyperparameters	hyperparameter	NOUN
aiti-11568	324	31	used	use	VERB
aiti-11568	324	32	for	for	ADP
aiti-11568	324	33	all	all	DET
aiti-11568	324	34	models	model	NOUN
aiti-11568	324	35	in	in	ADP
aiti-11568	324	36	it	it	PRON
aiti-11568	324	37	,	,	PUNCT
aiti-11568	324	38	including	include	VERB
aiti-11568	324	39	epoch	epoch	NOUN
aiti-11568	324	40	’s	’s	PART
aiti-11568	324	41	value	value	NOUN
aiti-11568	324	42	is	be	AUX
aiti-11568	324	43	30	30	NUM
aiti-11568	324	44	,	,	PUNCT
aiti-11568	324	45	learning	learn	VERB
aiti-11568	324	46	rates	rate	NOUN
aiti-11568	324	47	value	value	NOUN
aiti-11568	324	48	is	be	AUX
aiti-11568	324	49	[	[	X
aiti-11568	324	50	0.0001	0.0001	NUM
aiti-11568	324	51	]	]	PUNCT
aiti-11568	324	52	,	,	PUNCT
aiti-11568	324	53	batch	batch	NOUN
aiti-11568	324	54	sizes	size	NOUN
aiti-11568	324	55	were	be	AUX
aiti-11568	324	56	also	also	ADV
aiti-11568	324	57	tested	test	VERB
aiti-11568	324	58	at	at	ADP
aiti-11568	324	59	[	[	X
aiti-11568	324	60	32	32	NUM
aiti-11568	324	61	]	]	PUNCT
aiti-11568	324	62	,	,	PUNCT
aiti-11568	324	63	weight	weight	NOUN
aiti-11568	324	64	decay	decay	NOUN
aiti-11568	324	65	within	within	ADP
aiti-11568	324	66	the	the	PRON
aiti-11568	324	67	at	at	ADP
aiti-11568	324	68	[	[	X
aiti-11568	324	69	0.01	0.01	NUM
aiti-11568	324	70	]	]	PUNCT
aiti-11568	324	71	and	and	CCONJ
aiti-11568	324	72	hidden	hidden	ADJ
aiti-11568	324	73	layers	layer	NOUN
aiti-11568	324	74	tested	test	VERB
aiti-11568	324	75	value	value	NOUN
aiti-11568	324	76	which	which	PRON
aiti-11568	324	77	are	be	AUX
aiti-11568	324	78	[	[	X
aiti-11568	324	79	1024	1024	NUM
aiti-11568	324	80	]	]	PUNCT
aiti-11568	324	81	.	.	PUNCT
aiti-11568	325	1	in	in	ADP
aiti-11568	325	2	addition	addition	NOUN
aiti-11568	325	3	,	,	PUNCT
aiti-11568	325	4	four	four	NUM
aiti-11568	325	5	additional	additional	ADJ
aiti-11568	325	6	layers	layer	NOUN
aiti-11568	325	7	are	be	AUX
aiti-11568	325	8	included	include	VERB
aiti-11568	325	9	,	,	PUNCT
aiti-11568	325	10	including	include	VERB
aiti-11568	325	11	platten	platten	NOUN
aiti-11568	325	12	,	,	PUNCT
aiti-11568	325	13	batch	batch	NOUN
aiti-11568	325	14	normalization	normalization	NOUN
aiti-11568	325	15	,	,	PUNCT
aiti-11568	325	16	dense	dense	ADJ
aiti-11568	325	17	classes	class	NOUN
aiti-11568	325	18	with	with	ADP
aiti-11568	325	19	activation	activation	NOUN
aiti-11568	325	20	gelu	gelu	ADJ
aiti-11568	325	21	,	,	PUNCT
aiti-11568	325	22	and	and	CCONJ
aiti-11568	325	23	software	software	NOUN
aiti-11568	325	24	.	.	PUNCT
aiti-11568	326	1	the	the	DET
aiti-11568	326	2	training	training	NOUN
aiti-11568	326	3	and	and	CCONJ
aiti-11568	326	4	testing	testing	NOUN
aiti-11568	326	5	results	result	NOUN
aiti-11568	326	6	are	be	AUX
aiti-11568	326	7	shown	show	VERB
aiti-11568	326	8	in	in	ADP
aiti-11568	326	9	table	table	NOUN
aiti-11568	326	10	5	5	NUM
aiti-11568	326	11	.	.	PUNCT
aiti-11568	326	12	table	table	NOUN
aiti-11568	326	13	5	5	NUM
aiti-11568	326	14	the	the	DET
aiti-11568	326	15	classification	classification	NOUN
aiti-11568	326	16	results	result	NOUN
aiti-11568	326	17	of	of	ADP
aiti-11568	326	18	yellow	yellow	ADJ
aiti-11568	326	19	curl	curl	NOUN
aiti-11568	326	20	and	and	CCONJ
aiti-11568	326	21	healthy	healthy	ADJ
aiti-11568	326	22	leaves	leave	NOUN
aiti-11568	326	23	training	train	VERB
aiti-11568	326	24	set	set	VERB
aiti-11568	326	25	validation	validation	NOUN
aiti-11568	326	26	set	set	NOUN
aiti-11568	326	27	test	test	NOUN
aiti-11568	326	28	set	set	VERB
aiti-11568	326	29	model	model	NOUN
aiti-11568	326	30	accuracy	accuracy	NOUN
aiti-11568	326	31	loss	loss	NOUN
aiti-11568	326	32	accuracy	accuracy	NOUN
aiti-11568	326	33	loss	loss	NOUN
aiti-11568	326	34	accuracy	accuracy	NOUN
aiti-11568	326	35	f1	f1	NOUN
aiti-11568	326	36	-	-	PUNCT
aiti-11568	326	37	score	score	NOUN
aiti-11568	326	38	proposed	propose	VERB
aiti-11568	326	39	model	model	NOUN
aiti-11568	326	40	0.9857	0.9857	NUM
aiti-11568	326	41	0.0024	0.0024	NUM
aiti-11568	326	42	0.9905	0.9905	NUM
aiti-11568	326	43	0.0010	0.0010	NUM
aiti-11568	326	44	0.9857	0.9857	NUM
aiti-11568	326	45	0.9905	0.9905	NUM
aiti-11568	326	46	densenet	densenet	NOUN
aiti-11568	326	47	0.9570	0.9570	NOUN
aiti-11568	326	48	0.0945	0.0945	NUM
aiti-11568	327	1	0.9516	0.9516	NUM
aiti-11568	327	2	0.0383	0.0383	NUM
aiti-11568	327	3	0.9517	0.9517	NUM
aiti-11568	327	4	0.9516	0.9516	NUM
aiti-11568	327	5	vgg16	vgg16	NOUN
aiti-11568	327	6	0.9282	0.9282	NUM
aiti-11568	327	7	0.0227	0.0227	NUM
aiti-11568	327	8	0.9234	0.9234	NUM
aiti-11568	327	9	0.1175	0.1175	NUM
aiti-11568	327	10	0.9287	0.9287	NUM
aiti-11568	327	11	0.9282	0.9282	NUM
aiti-11568	327	12	vgg19	vgg19	NOUN
aiti-11568	327	13	0.9145	0.9145	NUM
aiti-11568	327	14	0.0684	0.0684	NUM
aiti-11568	327	15	0.9154	0.9154	NUM
aiti-11568	327	16	0.1542	0.1542	NUM
aiti-11568	327	17	0.9133	0.9133	NUM
aiti-11568	327	18	0.9182	0.9182	NUM
aiti-11568	327	19	xception	xception	NOUN
aiti-11568	327	20	0.8661	0.8661	NUM
aiti-11568	327	21	0.0807	0.0807	NUM
aiti-11568	327	22	0.8934	0.8934	NUM
aiti-11568	327	23	0.1023	0.1023	NUM
aiti-11568	327	24	0.8662	0.8662	NUM
aiti-11568	327	25	0.8660	0.8660	NUM
aiti-11568	327	26	mobilenet	mobilenet	NOUN
aiti-11568	327	27	1.0000	1.0000	NUM
aiti-11568	327	28	0.0101	0.0101	NUM
aiti-11568	327	29	0.7885	0.7885	NUM
aiti-11568	327	30	0.0416	0.0416	NUM
aiti-11568	327	31	0.8347	0.8347	NUM
aiti-11568	327	32	0.8654	0.8654	NUM
aiti-11568	327	33	the	the	DET
aiti-11568	327	34	training	training	NOUN
aiti-11568	327	35	and	and	CCONJ
aiti-11568	327	36	validation	validation	NOUN
aiti-11568	327	37	curves	curve	NOUN
aiti-11568	327	38	for	for	ADP
aiti-11568	327	39	accuracy	accuracy	NOUN
aiti-11568	327	40	and	and	CCONJ
aiti-11568	327	41	loss	loss	NOUN
aiti-11568	327	42	are	be	AUX
aiti-11568	327	43	shown	show	VERB
aiti-11568	327	44	in	in	ADP
aiti-11568	327	45	fig	fig	NOUN
aiti-11568	327	46	.	.	PUNCT
aiti-11568	328	1	7	7	X
aiti-11568	328	2	.	.	X
aiti-11568	328	3	transfer	transfer	NOUN
aiti-11568	328	4	-	-	PUNCT
aiti-11568	328	5	learning	learn	VERB
aiti-11568	328	6	machine	machine	NOUN
aiti-11568	328	7	-	-	PUNCT
aiti-11568	328	8	learning	learn	VERB
aiti-11568	328	9	techniques	technique	NOUN
aiti-11568	328	10	provide	provide	VERB
aiti-11568	328	11	training	training	NOUN
aiti-11568	328	12	accuracy	accuracy	NOUN
aiti-11568	328	13	of	of	ADP
aiti-11568	328	14	up	up	ADP
aiti-11568	328	15	to	to	PART
aiti-11568	328	16	98	98	NUM
aiti-11568	328	17	percent	percent	NOUN
aiti-11568	328	18	,	,	PUNCT
aiti-11568	328	19	compared	compare	VERB
aiti-11568	328	20	to	to	ADP
aiti-11568	328	21	99	99	NUM
aiti-11568	328	22	percent	percent	NOUN
aiti-11568	328	23	for	for	ADP
aiti-11568	328	24	fine	fine	ADV
aiti-11568	328	25	-	-	PUNCT
aiti-11568	328	26	tuning	tune	VERB
aiti-11568	328	27	techniques	technique	NOUN
aiti-11568	328	28	.	.	PUNCT
aiti-11568	329	1	following	follow	VERB
aiti-11568	329	2	training	training	NOUN
aiti-11568	329	3	,	,	PUNCT
aiti-11568	329	4	it	it	PRON
aiti-11568	329	5	is	be	AUX
aiti-11568	329	6	evaluated	evaluate	VERB
aiti-11568	329	7	with	with	ADP
aiti-11568	329	8	the	the	DET
aiti-11568	329	9	previously	previously	ADV
aiti-11568	329	10	indicated	indicate	VERB
aiti-11568	329	11	split	split	NOUN
aiti-11568	329	12	test	test	NOUN
aiti-11568	329	13	set	set	NOUN
aiti-11568	329	14	,	,	PUNCT
aiti-11568	329	15	yielding	yield	VERB
aiti-11568	329	16	the	the	DET
aiti-11568	329	17	confusion	confusion	NOUN
aiti-11568	329	18	matrix	matrix	NOUN
aiti-11568	329	19	model	model	NOUN
aiti-11568	329	20	shown	show	VERB
aiti-11568	329	21	in	in	ADP
aiti-11568	329	22	fig	fig	NOUN
aiti-11568	329	23	.	.	PUNCT
aiti-11568	330	1	8	8	X
aiti-11568	330	2	.	.	X
aiti-11568	330	3	advances	advance	NOUN
aiti-11568	330	4	in	in	ADP
aiti-11568	330	5	technology	technology	NOUN
aiti-11568	330	6	innovation	innovation	NOUN
aiti-11568	330	7	,	,	PUNCT
aiti-11568	330	8	vol	vol	NOUN
aiti-11568	330	9	.	.	PROPN
aiti-11568	330	10	8	8	NUM
aiti-11568	330	11	,	,	PUNCT
aiti-11568	330	12	no	no	INTJ
aiti-11568	330	13	.	.	NOUN
aiti-11568	330	14	3	3	NUM
aiti-11568	330	15	,	,	PUNCT
aiti-11568	330	16	2023	2023	NUM
aiti-11568	330	17	,	,	PUNCT
aiti-11568	330	18	pp	pp	ADJ
aiti-11568	330	19	.	.	PUNCT
aiti-11568	331	1	192	192	NUM
aiti-11568	331	2	-	-	SYM
aiti-11568	331	3	209	209	NUM
aiti-11568	331	4	203	203	NUM
aiti-11568	331	5	(	(	PUNCT
aiti-11568	331	6	a	a	NOUN
aiti-11568	331	7	)	)	PUNCT
aiti-11568	331	8	the	the	DET
aiti-11568	331	9	pre	pre	ADJ
aiti-11568	331	10	-	-	ADJ
aiti-11568	331	11	trained	train	VERB
aiti-11568	331	12	mobilenet	mobilenet	NOUN
aiti-11568	331	13	without	without	ADP
aiti-11568	331	14	fine	fine	ADV
aiti-11568	331	15	-	-	PUNCT
aiti-11568	331	16	tuning	tune	VERB
aiti-11568	331	17	accuracy	accuracy	NOUN
aiti-11568	331	18	(	(	PUNCT
aiti-11568	331	19	b	b	X
aiti-11568	331	20	)	)	PUNCT
aiti-11568	331	21	the	the	DET
aiti-11568	331	22	improved	improved	ADJ
aiti-11568	331	23	fine	fine	ADV
aiti-11568	331	24	-	-	PUNCT
aiti-11568	331	25	tuned	tune	VERB
aiti-11568	331	26	mobilenet	mobilenet	NOUN
aiti-11568	331	27	accuracy	accuracy	NOUN
aiti-11568	331	28	(	(	PUNCT
aiti-11568	331	29	c	c	NOUN
aiti-11568	331	30	)	)	PUNCT
aiti-11568	331	31	the	the	DET
aiti-11568	331	32	pre	pre	ADJ
aiti-11568	331	33	-	-	ADJ
aiti-11568	331	34	trained	train	VERB
aiti-11568	331	35	mobilenet	mobilenet	NOUN
aiti-11568	331	36	without	without	ADP
aiti-11568	331	37	fine	fine	ADV
aiti-11568	331	38	-	-	PUNCT
aiti-11568	331	39	tuning	tune	VERB
aiti-11568	331	40	loss	loss	NOUN
aiti-11568	331	41	(	(	PUNCT
aiti-11568	331	42	d	d	X
aiti-11568	331	43	)	)	PUNCT
aiti-11568	331	44	the	the	DET
aiti-11568	331	45	improved	improve	VERB
aiti-11568	331	46	mobilenet	mobilenet	NOUN
aiti-11568	331	47	loss	loss	NOUN
aiti-11568	331	48	fig	fig	NOUN
aiti-11568	331	49	.	.	PUNCT
aiti-11568	332	1	7	7	NUM
aiti-11568	333	1	the	the	DET
aiti-11568	333	2	classification	classification	NOUN
aiti-11568	333	3	results	result	NOUN
aiti-11568	333	4	of	of	ADP
aiti-11568	333	5	yellow	yellow	ADJ
aiti-11568	333	6	curl	curl	NOUN
aiti-11568	333	7	and	and	CCONJ
aiti-11568	333	8	healthy	healthy	ADJ
aiti-11568	333	9	leaves	leave	NOUN
aiti-11568	333	10	in	in	ADP
aiti-11568	333	11	accuracy	accuracy	NOUN
aiti-11568	333	12	and	and	CCONJ
aiti-11568	333	13	loss	loss	NOUN
aiti-11568	333	14	during	during	ADP
aiti-11568	333	15	epochs	epoch	NOUN
aiti-11568	333	16	from	from	ADP
aiti-11568	333	17	the	the	DET
aiti-11568	333	18	illustration	illustration	NOUN
aiti-11568	333	19	of	of	ADP
aiti-11568	333	20	graphs	graph	NOUN
aiti-11568	333	21	and	and	CCONJ
aiti-11568	333	22	confusion	confusion	NOUN
aiti-11568	333	23	matrix	matrix	NOUN
aiti-11568	333	24	in	in	ADP
aiti-11568	333	25	scenario	scenario	NOUN
aiti-11568	333	26	1	1	NUM
aiti-11568	333	27	(	(	PUNCT
aiti-11568	333	28	discriminate	discriminate	VERB
aiti-11568	333	29	yellow	yellow	ADJ
aiti-11568	333	30	curl	curl	NOUN
aiti-11568	333	31	virus	virus	NOUN
aiti-11568	333	32	)	)	PUNCT
aiti-11568	333	33	,	,	PUNCT
aiti-11568	333	34	the	the	DET
aiti-11568	333	35	training	training	NOUN
aiti-11568	333	36	process	process	NOUN
aiti-11568	333	37	of	of	ADP
aiti-11568	333	38	the	the	DET
aiti-11568	333	39	proposed	propose	VERB
aiti-11568	333	40	model	model	NOUN
aiti-11568	333	41	achieves	achieve	VERB
aiti-11568	333	42	a	a	DET
aiti-11568	333	43	promising	promising	ADJ
aiti-11568	333	44	result	result	NOUN
aiti-11568	333	45	.	.	PUNCT
aiti-11568	334	1	furthermore	furthermore	ADV
aiti-11568	334	2	,	,	PUNCT
aiti-11568	334	3	the	the	DET
aiti-11568	334	4	predictive	predictive	ADJ
aiti-11568	334	5	results	result	NOUN
aiti-11568	334	6	of	of	ADP
aiti-11568	334	7	the	the	DET
aiti-11568	334	8	two	two	NUM
aiti-11568	334	9	types	type	NOUN
aiti-11568	334	10	in	in	ADP
aiti-11568	334	11	the	the	DET
aiti-11568	334	12	test	test	NOUN
aiti-11568	334	13	set	set	NOUN
aiti-11568	334	14	achieved	achieve	VERB
aiti-11568	334	15	an	an	DET
aiti-11568	334	16	accuracy	accuracy	NOUN
aiti-11568	334	17	of	of	ADP
aiti-11568	334	18	99.52	99.52	NUM
aiti-11568	334	19	%	%	NOUN
aiti-11568	334	20	for	for	ADP
aiti-11568	334	21	the	the	DET
aiti-11568	334	22	yellow	yellow	ADJ
aiti-11568	334	23	curl	curl	NOUN
aiti-11568	334	24	virus	virus	NOUN
aiti-11568	334	25	and	and	CCONJ
aiti-11568	334	26	an	an	DET
aiti-11568	334	27	accuracy	accuracy	NOUN
aiti-11568	334	28	of	of	ADP
aiti-11568	334	29	99.05	99.05	NUM
aiti-11568	334	30	%	%	NOUN
aiti-11568	334	31	for	for	ADP
aiti-11568	334	32	healthy	healthy	ADJ
aiti-11568	334	33	leaves	leave	NOUN
aiti-11568	334	34	.	.	PUNCT
aiti-11568	335	1	these	these	DET
aiti-11568	335	2	results	result	NOUN
aiti-11568	335	3	prove	prove	VERB
aiti-11568	335	4	that	that	SCONJ
aiti-11568	335	5	the	the	DET
aiti-11568	335	6	proposed	propose	VERB
aiti-11568	335	7	model	model	NOUN
aiti-11568	335	8	can	can	AUX
aiti-11568	335	9	classify	classify	VERB
aiti-11568	335	10	early	early	ADJ
aiti-11568	335	11	blight	blight	NOUN
aiti-11568	335	12	and	and	CCONJ
aiti-11568	335	13	healthy	healthy	ADJ
aiti-11568	335	14	leaves	leave	NOUN
aiti-11568	335	15	.	.	PUNCT
aiti-11568	336	1	both	both	DET
aiti-11568	336	2	results	result	NOUN
aiti-11568	336	3	achieved	achieve	VERB
aiti-11568	336	4	more	more	ADJ
aiti-11568	336	5	than	than	ADP
aiti-11568	336	6	90	90	NUM
aiti-11568	336	7	%	%	NOUN
aiti-11568	336	8	accuracy	accuracy	NOUN
aiti-11568	336	9	.	.	PUNCT
aiti-11568	337	1	fig	fig	NOUN
aiti-11568	337	2	.	.	PUNCT
aiti-11568	338	1	8	8	NUM
aiti-11568	338	2	confusion	confusion	NOUN
aiti-11568	338	3	matrix	matrix	NOUN
aiti-11568	338	4	of	of	ADP
aiti-11568	338	5	scenario	scenario	NOUN
aiti-11568	338	6	1	1	NUM
aiti-11568	338	7	(	(	PUNCT
aiti-11568	338	8	discriminate	discriminate	VERB
aiti-11568	338	9	yellow	yellow	ADJ
aiti-11568	338	10	curl	curl	NOUN
aiti-11568	338	11	virus	virus	NOUN
aiti-11568	338	12	)	)	PUNCT
aiti-11568	338	13	(	(	PUNCT
aiti-11568	338	14	3	3	X
aiti-11568	338	15	)	)	PUNCT
aiti-11568	338	16	discriminate	discriminate	VERB
aiti-11568	338	17	septoria	septoria	ADJ
aiti-11568	338	18	and	and	CCONJ
aiti-11568	338	19	healthy	healthy	ADJ
aiti-11568	338	20	leaves	leave	NOUN
aiti-11568	338	21	in	in	ADP
aiti-11568	338	22	this	this	DET
aiti-11568	338	23	experiment	experiment	NOUN
aiti-11568	338	24	,	,	PUNCT
aiti-11568	338	25	the	the	DET
aiti-11568	338	26	authors	author	NOUN
aiti-11568	338	27	used	use	VERB
aiti-11568	338	28	the	the	DET
aiti-11568	338	29	same	same	ADJ
aiti-11568	338	30	hyperparameters	hyperparameter	NOUN
aiti-11568	338	31	used	use	VERB
aiti-11568	338	32	for	for	ADP
aiti-11568	338	33	all	all	DET
aiti-11568	338	34	models	model	NOUN
aiti-11568	338	35	in	in	ADP
aiti-11568	338	36	it	it	PRON
aiti-11568	338	37	,	,	PUNCT
aiti-11568	338	38	including	include	VERB
aiti-11568	338	39	epoch	epoch	NOUN
aiti-11568	338	40	’s	’s	PART
aiti-11568	338	41	value	value	NOUN
aiti-11568	338	42	is	be	AUX
aiti-11568	338	43	30	30	NUM
aiti-11568	338	44	,	,	PUNCT
aiti-11568	338	45	learning	learn	VERB
aiti-11568	338	46	rates	rate	NOUN
aiti-11568	338	47	value	value	NOUN
aiti-11568	338	48	is	be	AUX
aiti-11568	338	49	[	[	X
aiti-11568	338	50	0.0001	0.0001	NUM
aiti-11568	338	51	]	]	PUNCT
aiti-11568	338	52	,	,	PUNCT
aiti-11568	338	53	batch	batch	NOUN
aiti-11568	338	54	sizes	size	NOUN
aiti-11568	338	55	were	be	AUX
aiti-11568	338	56	also	also	ADV
aiti-11568	338	57	tested	test	VERB
aiti-11568	338	58	at	at	ADP
aiti-11568	338	59	[	[	X
aiti-11568	338	60	32	32	NUM
aiti-11568	338	61	]	]	PUNCT
aiti-11568	338	62	,	,	PUNCT
aiti-11568	338	63	weight	weight	NOUN
aiti-11568	338	64	decay	decay	NOUN
aiti-11568	338	65	within	within	ADP
aiti-11568	338	66	the	the	PRON
aiti-11568	338	67	at	at	ADP
aiti-11568	338	68	[	[	X
aiti-11568	338	69	0.01	0.01	NUM
aiti-11568	338	70	]	]	PUNCT
aiti-11568	338	71	and	and	CCONJ
aiti-11568	338	72	hidden	hidden	ADJ
aiti-11568	338	73	layers	layer	NOUN
aiti-11568	338	74	tested	test	VERB
aiti-11568	338	75	value	value	NOUN
aiti-11568	338	76	which	which	PRON
aiti-11568	338	77	are	be	AUX
aiti-11568	338	78	[	[	X
aiti-11568	338	79	1024	1024	NUM
aiti-11568	338	80	]	]	PUNCT
aiti-11568	338	81	.	.	PUNCT
aiti-11568	339	1	in	in	ADP
aiti-11568	339	2	addition	addition	NOUN
aiti-11568	339	3	,	,	PUNCT
aiti-11568	339	4	four	four	NUM
aiti-11568	339	5	additional	additional	ADJ
aiti-11568	339	6	layers	layer	NOUN
aiti-11568	339	7	are	be	AUX
aiti-11568	339	8	included	include	VERB
aiti-11568	339	9	,	,	PUNCT
aiti-11568	339	10	including	include	VERB
aiti-11568	339	11	platten	platten	NOUN
aiti-11568	339	12	,	,	PUNCT
aiti-11568	339	13	batch	batch	NOUN
aiti-11568	339	14	normalization	normalization	NOUN
aiti-11568	339	15	,	,	PUNCT
aiti-11568	339	16	dense	dense	ADJ
aiti-11568	339	17	classes	class	NOUN
aiti-11568	339	18	with	with	ADP
aiti-11568	339	19	activation	activation	NOUN
aiti-11568	339	20	gelu	gelu	ADJ
aiti-11568	339	21	,	,	PUNCT
aiti-11568	339	22	and	and	CCONJ
aiti-11568	339	23	software	software	NOUN
aiti-11568	339	24	.	.	PUNCT
aiti-11568	340	1	the	the	DET
aiti-11568	340	2	training	training	NOUN
aiti-11568	340	3	and	and	CCONJ
aiti-11568	340	4	testing	testing	NOUN
aiti-11568	340	5	results	result	NOUN
aiti-11568	340	6	are	be	AUX
aiti-11568	340	7	shown	show	VERB
aiti-11568	340	8	in	in	ADP
aiti-11568	340	9	table	table	NOUN
aiti-11568	340	10	6	6	NUM
aiti-11568	340	11	.	.	PUNCT
aiti-11568	341	1	the	the	DET
aiti-11568	341	2	training	training	NOUN
aiti-11568	341	3	and	and	CCONJ
aiti-11568	341	4	validation	validation	NOUN
aiti-11568	341	5	curves	curve	NOUN
aiti-11568	341	6	for	for	ADP
aiti-11568	341	7	accuracy	accuracy	NOUN
aiti-11568	341	8	and	and	CCONJ
aiti-11568	341	9	loss	loss	NOUN
aiti-11568	341	10	are	be	AUX
aiti-11568	341	11	shown	show	VERB
aiti-11568	341	12	in	in	ADP
aiti-11568	341	13	fig	fig	NOUN
aiti-11568	341	14	.	.	PUNCT
aiti-11568	342	1	9	9	X
aiti-11568	342	2	.	.	X
aiti-11568	342	3	transfer	transfer	NOUN
aiti-11568	342	4	-	-	PUNCT
aiti-11568	342	5	learning	learn	VERB
aiti-11568	342	6	machine	machine	NOUN
aiti-11568	342	7	-	-	PUNCT
aiti-11568	342	8	learning	learn	VERB
aiti-11568	342	9	techniques	technique	NOUN
aiti-11568	342	10	provide	provide	VERB
aiti-11568	342	11	training	training	NOUN
aiti-11568	342	12	accuracy	accuracy	NOUN
aiti-11568	342	13	of	of	ADP
aiti-11568	342	14	up	up	ADP
aiti-11568	342	15	to	to	PART
aiti-11568	342	16	95	95	NUM
aiti-11568	342	17	percent	percent	NOUN
aiti-11568	342	18	,	,	PUNCT
aiti-11568	342	19	compared	compare	VERB
aiti-11568	342	20	to	to	ADP
aiti-11568	342	21	97	97	NUM
aiti-11568	342	22	percent	percent	NOUN
aiti-11568	342	23	for	for	ADP
aiti-11568	342	24	fine	fine	ADV
aiti-11568	342	25	-	-	PUNCT
aiti-11568	342	26	tuning	tune	VERB
aiti-11568	342	27	techniques	technique	NOUN
aiti-11568	342	28	.	.	PUNCT
aiti-11568	343	1	following	follow	VERB
aiti-11568	343	2	training	training	NOUN
aiti-11568	343	3	,	,	PUNCT
aiti-11568	343	4	it	it	PRON
aiti-11568	343	5	is	be	AUX
aiti-11568	343	6	evaluated	evaluate	VERB
aiti-11568	343	7	with	with	ADP
aiti-11568	343	8	the	the	DET
aiti-11568	343	9	previously	previously	ADV
aiti-11568	343	10	indicated	indicate	VERB
aiti-11568	343	11	split	split	NOUN
aiti-11568	343	12	test	test	NOUN
aiti-11568	343	13	set	set	NOUN
aiti-11568	343	14	,	,	PUNCT
aiti-11568	343	15	yielding	yield	VERB
aiti-11568	343	16	the	the	DET
aiti-11568	343	17	confusion	confusion	NOUN
aiti-11568	343	18	matrix	matrix	NOUN
aiti-11568	343	19	model	model	NOUN
aiti-11568	343	20	shown	show	VERB
aiti-11568	343	21	in	in	ADP
aiti-11568	343	22	fig	fig	NOUN
aiti-11568	343	23	.	.	PUNCT
aiti-11568	344	1	10	10	NUM
aiti-11568	344	2	.	.	PUNCT
aiti-11568	345	1	advances	advance	NOUN
aiti-11568	345	2	in	in	ADP
aiti-11568	345	3	technology	technology	NOUN
aiti-11568	345	4	innovation	innovation	NOUN
aiti-11568	345	5	,	,	PUNCT
aiti-11568	345	6	vol	vol	NOUN
aiti-11568	345	7	.	.	PROPN
aiti-11568	345	8	8	8	NUM
aiti-11568	345	9	,	,	PUNCT
aiti-11568	345	10	no	no	INTJ
aiti-11568	345	11	.	.	NOUN
aiti-11568	345	12	3	3	NUM
aiti-11568	345	13	,	,	PUNCT
aiti-11568	345	14	2023	2023	NUM
aiti-11568	345	15	,	,	PUNCT
aiti-11568	345	16	pp	pp	ADJ
aiti-11568	345	17	.	.	PUNCT
aiti-11568	346	1	192	192	NUM
aiti-11568	346	2	-	-	SYM
aiti-11568	346	3	209	209	NUM
aiti-11568	346	4	204	204	NUM
aiti-11568	346	5	table	table	NOUN
aiti-11568	346	6	6	6	NUM
aiti-11568	346	7	the	the	DET
aiti-11568	346	8	classification	classification	NOUN
aiti-11568	346	9	results	result	NOUN
aiti-11568	346	10	of	of	ADP
aiti-11568	346	11	septoria	septoria	ADJ
aiti-11568	346	12	and	and	CCONJ
aiti-11568	346	13	healthy	healthy	ADJ
aiti-11568	346	14	leaves	leave	NOUN
aiti-11568	346	15	training	train	VERB
aiti-11568	346	16	set	set	VERB
aiti-11568	346	17	validation	validation	NOUN
aiti-11568	346	18	set	set	NOUN
aiti-11568	346	19	test	test	NOUN
aiti-11568	346	20	set	set	VERB
aiti-11568	346	21	model	model	NOUN
aiti-11568	346	22	accuracy	accuracy	NOUN
aiti-11568	346	23	loss	loss	NOUN
aiti-11568	346	24	accuracy	accuracy	NOUN
aiti-11568	346	25	loss	loss	NOUN
aiti-11568	346	26	accuracy	accuracy	NOUN
aiti-11568	346	27	f1	f1	NOUN
aiti-11568	346	28	-	-	PUNCT
aiti-11568	346	29	score	score	NOUN
aiti-11568	346	30	proposed	propose	VERB
aiti-11568	346	31	model	model	NOUN
aiti-11568	346	32	0.9422	0.9422	NUM
aiti-11568	346	33	0.0363	0.0363	NUM
aiti-11568	346	34	0.9443	0.9443	NUM
aiti-11568	346	35	0.0148	0.0148	NUM
aiti-11568	346	36	0.9818	0.9818	NUM
aiti-11568	346	37	0.9905	0.9905	NUM
aiti-11568	346	38	densenet	densenet	NOUN
aiti-11568	346	39	0.9372	0.9372	NUM
aiti-11568	346	40	0.0945	0.0945	NUM
aiti-11568	346	41	0.9383	0.9383	NUM
aiti-11568	346	42	0.3632	0.3632	NUM
aiti-11568	346	43	0.9335	0.9335	NUM
aiti-11568	346	44	0.9316	0.9316	NUM
aiti-11568	346	45	vgg16	vgg16	NOUN
aiti-11568	346	46	0.9032	0.9032	NUM
aiti-11568	347	1	0.0227	0.0227	NUM
aiti-11568	347	2	0.9021	0.9021	NUM
aiti-11568	347	3	0.5175	0.5175	NUM
aiti-11568	347	4	0.9076	0.9076	NUM
aiti-11568	347	5	0.9057	0.9057	NUM
aiti-11568	347	6	vgg19	vgg19	NOUN
aiti-11568	347	7	0.9279	0.9279	NUM
aiti-11568	347	8	0.0323	0.0323	NUM
aiti-11568	347	9	0.9164	0.9164	NUM
aiti-11568	347	10	0.4789	0.4789	NUM
aiti-11568	347	11	0.9265	0.9265	NUM
aiti-11568	347	12	0.9188	0.9188	NUM
aiti-11568	347	13	xception	xception	NOUN
aiti-11568	347	14	0.8366	0.8366	NUM
aiti-11568	348	1	0.0607	0.0607	NUM
aiti-11568	348	2	0.8934	0.8934	NUM
aiti-11568	348	3	0.1223	0.1223	NUM
aiti-11568	348	4	0.8536	0.8536	NUM
aiti-11568	348	5	0.8343	0.8343	NUM
aiti-11568	348	6	mobilenet	mobilenet	NOUN
aiti-11568	348	7	0.9452	0.9452	NUM
aiti-11568	348	8	0.011	0.011	NUM
aiti-11568	348	9	0.9023	0.9023	NUM
aiti-11568	348	10	0.1024	0.1024	NUM
aiti-11568	348	11	0.9507	0.9507	NUM
aiti-11568	348	12	0.9576	0.9576	NUM
aiti-11568	348	13	(	(	PUNCT
aiti-11568	348	14	a	a	X
aiti-11568	348	15	)	)	PUNCT
aiti-11568	348	16	the	the	DET
aiti-11568	348	17	pre	pre	ADJ
aiti-11568	348	18	-	-	ADJ
aiti-11568	348	19	trained	train	VERB
aiti-11568	348	20	mobilenet	mobilenet	NOUN
aiti-11568	348	21	without	without	ADP
aiti-11568	348	22	fine	fine	ADV
aiti-11568	348	23	-	-	PUNCT
aiti-11568	348	24	tuning	tune	VERB
aiti-11568	348	25	accuracy	accuracy	NOUN
aiti-11568	348	26	(	(	PUNCT
aiti-11568	348	27	b	b	X
aiti-11568	348	28	)	)	PUNCT
aiti-11568	348	29	the	the	DET
aiti-11568	348	30	improved	improve	VERB
aiti-11568	348	31	mobilenet	mobilenet	NOUN
aiti-11568	348	32	accuracy	accuracy	NOUN
aiti-11568	348	33	(	(	PUNCT
aiti-11568	348	34	c	c	NOUN
aiti-11568	348	35	)	)	PUNCT
aiti-11568	348	36	the	the	DET
aiti-11568	348	37	pre	pre	ADJ
aiti-11568	348	38	-	-	ADJ
aiti-11568	348	39	trained	train	VERB
aiti-11568	348	40	mobilenet	mobilenet	NOUN
aiti-11568	348	41	without	without	ADP
aiti-11568	348	42	fine	fine	ADV
aiti-11568	348	43	-	-	PUNCT
aiti-11568	348	44	tuning	tune	VERB
aiti-11568	348	45	loss	loss	NOUN
aiti-11568	348	46	(	(	PUNCT
aiti-11568	348	47	d	d	X
aiti-11568	348	48	)	)	PUNCT
aiti-11568	348	49	the	the	DET
aiti-11568	348	50	improved	improve	VERB
aiti-11568	348	51	mobilenet	mobilenet	NOUN
aiti-11568	348	52	loss	loss	NOUN
aiti-11568	348	53	fig	fig	NOUN
aiti-11568	348	54	.	.	PUNCT
aiti-11568	349	1	9	9	NUM
aiti-11568	349	2	the	the	DET
aiti-11568	349	3	classification	classification	NOUN
aiti-11568	349	4	results	result	NOUN
aiti-11568	349	5	of	of	ADP
aiti-11568	349	6	septoria	septoria	ADJ
aiti-11568	349	7	and	and	CCONJ
aiti-11568	349	8	healthy	healthy	ADJ
aiti-11568	349	9	leaves	leave	NOUN
aiti-11568	349	10	in	in	ADP
aiti-11568	349	11	accuracy	accuracy	NOUN
aiti-11568	349	12	and	and	CCONJ
aiti-11568	349	13	loss	loss	NOUN
aiti-11568	349	14	during	during	ADP
aiti-11568	349	15	epochs	epoch	NOUN
aiti-11568	349	16	from	from	ADP
aiti-11568	349	17	the	the	DET
aiti-11568	349	18	illustration	illustration	NOUN
aiti-11568	349	19	of	of	ADP
aiti-11568	349	20	graphs	graph	NOUN
aiti-11568	349	21	and	and	CCONJ
aiti-11568	349	22	confusion	confusion	NOUN
aiti-11568	349	23	matrix	matrix	NOUN
aiti-11568	349	24	in	in	ADP
aiti-11568	349	25	scenario	scenario	NOUN
aiti-11568	349	26	1	1	NUM
aiti-11568	349	27	(	(	PUNCT
aiti-11568	349	28	discriminate	discriminate	VERB
aiti-11568	349	29	septoria	septoria	PROPN
aiti-11568	349	30	)	)	PUNCT
aiti-11568	349	31	,	,	PUNCT
aiti-11568	349	32	the	the	DET
aiti-11568	349	33	training	training	NOUN
aiti-11568	349	34	process	process	NOUN
aiti-11568	349	35	of	of	ADP
aiti-11568	349	36	the	the	DET
aiti-11568	349	37	proposed	propose	VERB
aiti-11568	349	38	model	model	NOUN
aiti-11568	349	39	achieves	achieve	VERB
aiti-11568	349	40	a	a	DET
aiti-11568	349	41	promising	promising	ADJ
aiti-11568	349	42	result	result	NOUN
aiti-11568	349	43	that	that	PRON
aiti-11568	349	44	archived	archive	VERB
aiti-11568	349	45	more	more	ADJ
aiti-11568	349	46	than	than	ADP
aiti-11568	349	47	90	90	NUM
aiti-11568	349	48	%	%	NOUN
aiti-11568	349	49	accuracy	accuracy	NOUN
aiti-11568	349	50	.	.	PUNCT
aiti-11568	350	1	in	in	ADP
aiti-11568	350	2	detail	detail	NOUN
aiti-11568	350	3	,	,	PUNCT
aiti-11568	350	4	the	the	DET
aiti-11568	350	5	predictive	predictive	ADJ
aiti-11568	350	6	results	result	NOUN
aiti-11568	350	7	of	of	ADP
aiti-11568	350	8	the	the	DET
aiti-11568	350	9	two	two	NUM
aiti-11568	350	10	types	type	NOUN
aiti-11568	350	11	in	in	ADP
aiti-11568	350	12	the	the	DET
aiti-11568	350	13	test	test	NOUN
aiti-11568	350	14	set	set	NOUN
aiti-11568	350	15	achieved	achieve	VERB
aiti-11568	350	16	an	an	DET
aiti-11568	350	17	accuracy	accuracy	NOUN
aiti-11568	350	18	of	of	ADP
aiti-11568	350	19	99.01	99.01	NUM
aiti-11568	350	20	%	%	NOUN
aiti-11568	350	21	for	for	ADP
aiti-11568	350	22	the	the	DET
aiti-11568	350	23	yellow	yellow	ADJ
aiti-11568	350	24	curl	curl	NOUN
aiti-11568	350	25	virus	virus	NOUN
aiti-11568	350	26	and	and	CCONJ
aiti-11568	350	27	an	an	DET
aiti-11568	350	28	accuracy	accuracy	NOUN
aiti-11568	350	29	of	of	ADP
aiti-11568	350	30	99.54	99.54	NUM
aiti-11568	350	31	%	%	NOUN
aiti-11568	350	32	on	on	ADP
aiti-11568	350	33	healthy	healthy	ADJ
aiti-11568	350	34	leaves	leave	NOUN
aiti-11568	350	35	.	.	PUNCT
aiti-11568	351	1	these	these	DET
aiti-11568	351	2	results	result	NOUN
aiti-11568	351	3	prove	prove	VERB
aiti-11568	351	4	that	that	SCONJ
aiti-11568	351	5	the	the	DET
aiti-11568	351	6	proposed	propose	VERB
aiti-11568	351	7	model	model	NOUN
aiti-11568	351	8	can	can	AUX
aiti-11568	351	9	classify	classify	VERB
aiti-11568	351	10	early	early	ADJ
aiti-11568	351	11	blight	blight	NOUN
aiti-11568	351	12	and	and	CCONJ
aiti-11568	351	13	healthy	healthy	ADJ
aiti-11568	351	14	leaves	leave	NOUN
aiti-11568	351	15	.	.	PUNCT
aiti-11568	352	1	furthermore	furthermore	ADV
aiti-11568	352	2	,	,	PUNCT
aiti-11568	352	3	both	both	DET
aiti-11568	352	4	results	result	NOUN
aiti-11568	352	5	achieved	achieve	VERB
aiti-11568	352	6	more	more	ADJ
aiti-11568	352	7	than	than	ADP
aiti-11568	352	8	90	90	NUM
aiti-11568	352	9	%	%	NOUN
aiti-11568	352	10	accuracy	accuracy	NOUN
aiti-11568	352	11	.	.	PUNCT
aiti-11568	353	1	fig	fig	NOUN
aiti-11568	353	2	.	.	PUNCT
aiti-11568	354	1	10	10	NUM
aiti-11568	354	2	confusion	confusion	NOUN
aiti-11568	354	3	matrix	matrix	NOUN
aiti-11568	354	4	of	of	ADP
aiti-11568	354	5	scenario	scenario	NOUN
aiti-11568	354	6	1	1	NUM
aiti-11568	354	7	(	(	PUNCT
aiti-11568	354	8	discriminate	discriminate	VERB
aiti-11568	354	9	septoria	septoria	PROPN
aiti-11568	354	10	)	)	PUNCT
aiti-11568	354	11	advances	advance	NOUN
aiti-11568	354	12	in	in	ADP
aiti-11568	354	13	technology	technology	NOUN
aiti-11568	354	14	innovation	innovation	NOUN
aiti-11568	354	15	,	,	PUNCT
aiti-11568	354	16	vol	vol	NOUN
aiti-11568	354	17	.	.	PROPN
aiti-11568	354	18	8	8	NUM
aiti-11568	354	19	,	,	PUNCT
aiti-11568	354	20	no	no	INTJ
aiti-11568	354	21	.	.	NOUN
aiti-11568	354	22	3	3	NUM
aiti-11568	354	23	,	,	PUNCT
aiti-11568	354	24	2023	2023	NUM
aiti-11568	354	25	,	,	PUNCT
aiti-11568	354	26	pp	pp	ADJ
aiti-11568	354	27	.	.	PUNCT
aiti-11568	355	1	192	192	NUM
aiti-11568	355	2	-	-	SYM
aiti-11568	355	3	209	209	NUM
aiti-11568	355	4	205	205	NUM
aiti-11568	355	5	4.4	4.4	NUM
aiti-11568	355	6	.	.	PUNCT
aiti-11568	356	1	scenario	scenario	NOUN
aiti-11568	356	2	2	2	NUM
aiti-11568	356	3	–	–	PUNCT
aiti-11568	356	4	classification	classification	NOUN
aiti-11568	356	5	of	of	ADP
aiti-11568	356	6	4	4	NUM
aiti-11568	356	7	classes	class	NOUN
aiti-11568	356	8	:	:	PUNCT
aiti-11568	356	9	early	early	ADJ
aiti-11568	356	10	blight	blight	NOUN
aiti-11568	356	11	,	,	PUNCT
aiti-11568	356	12	septoria	septoria	ADJ
aiti-11568	356	13	,	,	PUNCT
aiti-11568	356	14	yellow	yellow	ADJ
aiti-11568	356	15	curl	curl	NOUN
aiti-11568	356	16	,	,	PUNCT
aiti-11568	356	17	and	and	CCONJ
aiti-11568	356	18	healthy	healthy	ADJ
aiti-11568	356	19	this	this	DET
aiti-11568	356	20	scenario	scenario	NOUN
aiti-11568	356	21	retains	retain	VERB
aiti-11568	356	22	the	the	DET
aiti-11568	356	23	same	same	ADJ
aiti-11568	356	24	hyperparameters	hyperparameter	NOUN
aiti-11568	356	25	as	as	ADP
aiti-11568	356	26	in	in	ADP
aiti-11568	356	27	scenario	scenario	NOUN
aiti-11568	356	28	1	1	NUM
aiti-11568	356	29	,	,	PUNCT
aiti-11568	356	30	including	include	VERB
aiti-11568	356	31	adding	add	VERB
aiti-11568	356	32	and	and	CCONJ
aiti-11568	356	33	deleting	delete	VERB
aiti-11568	356	34	dense	dense	ADJ
aiti-11568	356	35	layers	layer	NOUN
aiti-11568	356	36	and	and	CCONJ
aiti-11568	356	37	performing	perform	VERB
aiti-11568	356	38	mass	mass	ADJ
aiti-11568	356	39	normalization	normalization	NOUN
aiti-11568	356	40	.	.	PUNCT
aiti-11568	357	1	the	the	DET
aiti-11568	357	2	study	study	NOUN
aiti-11568	357	3	trained	train	VERB
aiti-11568	357	4	the	the	DET
aiti-11568	357	5	model	model	NOUN
aiti-11568	357	6	in	in	ADP
aiti-11568	357	7	transfer	transfer	NOUN
aiti-11568	357	8	learning	learning	NOUN
aiti-11568	357	9	and	and	CCONJ
aiti-11568	357	10	fine	fine	ADV
aiti-11568	357	11	-	-	PUNCT
aiti-11568	357	12	tuning	tuning	NOUN
aiti-11568	357	13	to	to	PART
aiti-11568	357	14	compare	compare	VERB
aiti-11568	357	15	the	the	DET
aiti-11568	357	16	mobilenet	mobilenet	NOUN
aiti-11568	357	17	results	result	NOUN
aiti-11568	357	18	to	to	ADP
aiti-11568	357	19	those	those	PRON
aiti-11568	357	20	of	of	ADP
aiti-11568	357	21	other	other	ADJ
aiti-11568	357	22	cnn	cnn	PROPN
aiti-11568	357	23	models	model	NOUN
aiti-11568	357	24	.	.	PUNCT
aiti-11568	358	1	the	the	DET
aiti-11568	358	2	hyperparameters	hyperparameter	NOUN
aiti-11568	358	3	utilized	utilize	VERB
aiti-11568	358	4	in	in	ADP
aiti-11568	358	5	the	the	DET
aiti-11568	358	6	models	model	NOUN
aiti-11568	358	7	are	be	AUX
aiti-11568	358	8	the	the	DET
aiti-11568	358	9	same	same	ADJ
aiti-11568	358	10	for	for	ADP
aiti-11568	358	11	both	both	CCONJ
aiti-11568	358	12	stages	stage	NOUN
aiti-11568	358	13	and	and	CCONJ
aiti-11568	358	14	models	model	NOUN
aiti-11568	358	15	from	from	ADP
aiti-11568	358	16	the	the	DET
aiti-11568	358	17	same	same	ADJ
aiti-11568	358	18	group	group	NOUN
aiti-11568	358	19	.	.	PUNCT
aiti-11568	359	1	the	the	DET
aiti-11568	359	2	outcomes	outcome	NOUN
aiti-11568	359	3	of	of	ADP
aiti-11568	359	4	this	this	DET
aiti-11568	359	5	scenario	scenario	NOUN
aiti-11568	359	6	are	be	AUX
aiti-11568	359	7	presented	present	VERB
aiti-11568	359	8	in	in	ADP
aiti-11568	359	9	table	table	NOUN
aiti-11568	359	10	7	7	NUM
aiti-11568	359	11	,	,	PUNCT
aiti-11568	359	12	fig	fig	NOUN
aiti-11568	359	13	.	.	PUNCT
aiti-11568	360	1	11	11	NUM
aiti-11568	360	2	and	and	CCONJ
aiti-11568	360	3	fig	fig	NOUN
aiti-11568	360	4	.	.	PUNCT
aiti-11568	361	1	12	12	NUM
aiti-11568	361	2	.	.	PUNCT
aiti-11568	362	1	the	the	DET
aiti-11568	362	2	results	result	NOUN
aiti-11568	362	3	show	show	VERB
aiti-11568	362	4	that	that	SCONJ
aiti-11568	362	5	the	the	DET
aiti-11568	362	6	mobilenet	mobilenet	NOUN
aiti-11568	362	7	model	model	NOUN
aiti-11568	362	8	with	with	ADP
aiti-11568	362	9	the	the	DET
aiti-11568	362	10	proposed	propose	VERB
aiti-11568	362	11	architecture	architecture	NOUN
aiti-11568	362	12	beat	beat	VERB
aiti-11568	362	13	the	the	DET
aiti-11568	362	14	other	other	ADJ
aiti-11568	362	15	cnn	cnn	PROPN
aiti-11568	362	16	architectures	architecture	NOUN
aiti-11568	362	17	by	by	ADP
aiti-11568	362	18	around	around	ADP
aiti-11568	362	19	95	95	NUM
aiti-11568	362	20	%	%	NOUN
aiti-11568	362	21	.	.	PUNCT
aiti-11568	363	1	the	the	DET
aiti-11568	363	2	accuracy	accuracy	NOUN
aiti-11568	363	3	and	and	CCONJ
aiti-11568	363	4	loss	loss	NOUN
aiti-11568	363	5	during	during	ADP
aiti-11568	363	6	training	training	NOUN
aiti-11568	363	7	in	in	ADP
aiti-11568	363	8	scenario	scenario	NOUN
aiti-11568	363	9	2	2	NUM
aiti-11568	363	10	are	be	AUX
aiti-11568	363	11	displayed	display	VERB
aiti-11568	363	12	in	in	ADP
aiti-11568	363	13	fig	fig	NOUN
aiti-11568	363	14	.	.	PUNCT
aiti-11568	364	1	11	11	NUM
aiti-11568	364	2	.	.	X
aiti-11568	364	3	fig	fig	NOUN
aiti-11568	364	4	.	.	PUNCT
aiti-11568	365	1	12	12	NUM
aiti-11568	365	2	reveals	reveal	VERB
aiti-11568	365	3	the	the	DET
aiti-11568	365	4	confusion	confusion	NOUN
aiti-11568	365	5	matrix	matrix	NOUN
aiti-11568	365	6	for	for	ADP
aiti-11568	365	7	the	the	DET
aiti-11568	365	8	third	third	ADJ
aiti-11568	365	9	case	case	NOUN
aiti-11568	365	10	.	.	PUNCT
aiti-11568	366	1	table	table	NOUN
aiti-11568	366	2	7	7	NUM
aiti-11568	366	3	classification	classification	NOUN
aiti-11568	366	4	results	result	NOUN
aiti-11568	366	5	of	of	ADP
aiti-11568	366	6	4	4	NUM
aiti-11568	366	7	classes	class	NOUN
aiti-11568	366	8	:	:	PUNCT
aiti-11568	366	9	early	early	ADJ
aiti-11568	366	10	blight	blight	NOUN
aiti-11568	366	11	,	,	PUNCT
aiti-11568	366	12	septoria	septoria	ADJ
aiti-11568	366	13	,	,	PUNCT
aiti-11568	366	14	yellow	yellow	ADJ
aiti-11568	366	15	curl	curl	NOUN
aiti-11568	366	16	,	,	PUNCT
aiti-11568	366	17	and	and	CCONJ
aiti-11568	366	18	healthy	healthy	ADJ
aiti-11568	366	19	training	training	NOUN
aiti-11568	366	20	set	set	VERB
aiti-11568	366	21	validation	validation	NOUN
aiti-11568	366	22	set	set	NOUN
aiti-11568	366	23	test	test	NOUN
aiti-11568	366	24	set	set	VERB
aiti-11568	366	25	model	model	NOUN
aiti-11568	366	26	accuracy	accuracy	NOUN
aiti-11568	366	27	loss	loss	NOUN
aiti-11568	366	28	accuracy	accuracy	NOUN
aiti-11568	366	29	loss	loss	NOUN
aiti-11568	366	30	accuracy	accuracy	NOUN
aiti-11568	366	31	f1	f1	NOUN
aiti-11568	366	32	-	-	PUNCT
aiti-11568	366	33	score	score	NOUN
aiti-11568	366	34	proposed	propose	VERB
aiti-11568	366	35	model	model	NOUN
aiti-11568	366	36	0.9348	0.9348	NUM
aiti-11568	366	37	0.0363	0.0363	NUM
aiti-11568	366	38	0.9443	0.9443	NUM
aiti-11568	366	39	0.0148	0.0148	NUM
aiti-11568	366	40	0.9717	0.9717	NUM
aiti-11568	366	41	0.9442	0.9442	NUM
aiti-11568	366	42	densenet	densenet	NOUN
aiti-11568	366	43	0.9353	0.9353	NUM
aiti-11568	366	44	0.0945	0.0945	NUM
aiti-11568	366	45	0.9383	0.9383	NUM
aiti-11568	366	46	0.3632	0.3632	NUM
aiti-11568	366	47	0.9335	0.9335	NUM
aiti-11568	366	48	0.9316	0.9316	NUM
aiti-11568	366	49	vgg16	vgg16	NOUN
aiti-11568	366	50	0.9038	0.9038	NUM
aiti-11568	366	51	0.0227	0.0227	NUM
aiti-11568	366	52	0.9021	0.9021	NUM
aiti-11568	366	53	0.5175	0.5175	NUM
aiti-11568	366	54	0.9076	0.9076	NUM
aiti-11568	366	55	0.9057	0.9057	NUM
aiti-11568	366	56	vgg19	vgg19	NOUN
aiti-11568	366	57	0.9279	0.9279	NUM
aiti-11568	366	58	0.0323	0.0323	NUM
aiti-11568	366	59	0.9164	0.9164	NUM
aiti-11568	366	60	0.4789	0.4789	NUM
aiti-11568	366	61	0.9265	0.9265	NUM
aiti-11568	366	62	0.9188	0.9188	NUM
aiti-11568	366	63	xception	xception	NOUN
aiti-11568	366	64	0.8376	0.8376	NUM
aiti-11568	366	65	0.0607	0.0607	NUM
aiti-11568	366	66	0.8934	0.8934	NUM
aiti-11568	366	67	0.1223	0.1223	NUM
aiti-11568	366	68	0.8536	0.8536	NUM
aiti-11568	366	69	0.8343	0.8343	NUM
aiti-11568	366	70	mobilenet	mobilenet	NOUN
aiti-11568	366	71	0.9464	0.9464	NUM
aiti-11568	367	1	0.011	0.011	NUM
aiti-11568	367	2	0.9023	0.9023	NUM
aiti-11568	367	3	0.4404	0.4404	NUM
aiti-11568	367	4	0.7907	0.7907	NUM
aiti-11568	367	5	0.7176	0.7176	NUM
aiti-11568	367	6	(	(	PUNCT
aiti-11568	367	7	a	a	NOUN
aiti-11568	367	8	)	)	PUNCT
aiti-11568	367	9	the	the	DET
aiti-11568	367	10	pre	pre	ADJ
aiti-11568	367	11	-	-	ADJ
aiti-11568	367	12	trained	train	VERB
aiti-11568	367	13	mobilenet	mobilenet	NOUN
aiti-11568	367	14	without	without	ADP
aiti-11568	367	15	fine	fine	ADV
aiti-11568	367	16	-	-	PUNCT
aiti-11568	367	17	tuning	tune	VERB
aiti-11568	367	18	accuracy	accuracy	NOUN
aiti-11568	367	19	(	(	PUNCT
aiti-11568	367	20	b	b	X
aiti-11568	367	21	)	)	PUNCT
aiti-11568	367	22	the	the	DET
aiti-11568	367	23	improved	improve	VERB
aiti-11568	367	24	mobilenet	mobilenet	NOUN
aiti-11568	367	25	accuracy	accuracy	NOUN
aiti-11568	367	26	(	(	PUNCT
aiti-11568	367	27	c	c	NOUN
aiti-11568	367	28	)	)	PUNCT
aiti-11568	367	29	the	the	DET
aiti-11568	367	30	pre	pre	ADJ
aiti-11568	367	31	-	-	ADJ
aiti-11568	367	32	trained	train	VERB
aiti-11568	367	33	mobilenet	mobilenet	NOUN
aiti-11568	367	34	without	without	ADP
aiti-11568	367	35	fine	fine	ADV
aiti-11568	367	36	-	-	PUNCT
aiti-11568	367	37	tuning	tune	VERB
aiti-11568	367	38	loss	loss	NOUN
aiti-11568	367	39	(	(	PUNCT
aiti-11568	367	40	d	d	X
aiti-11568	367	41	)	)	PUNCT
aiti-11568	367	42	the	the	DET
aiti-11568	367	43	improved	improve	VERB
aiti-11568	367	44	mobilenet	mobilenet	NOUN
aiti-11568	367	45	loss	loss	NOUN
aiti-11568	367	46	fig	fig	NOUN
aiti-11568	367	47	.	.	PUNCT
aiti-11568	368	1	11	11	NUM
aiti-11568	368	2	performance	performance	NOUN
aiti-11568	368	3	of	of	ADP
aiti-11568	368	4	accuracy	accuracy	NOUN
aiti-11568	368	5	and	and	CCONJ
aiti-11568	368	6	loss	loss	NOUN
aiti-11568	368	7	training	training	NOUN
aiti-11568	368	8	in	in	ADP
aiti-11568	368	9	scenario	scenario	NOUN
aiti-11568	368	10	2	2	NUM
aiti-11568	368	11	in	in	ADP
aiti-11568	368	12	detail	detail	NOUN
aiti-11568	368	13	,	,	PUNCT
aiti-11568	368	14	the	the	DET
aiti-11568	368	15	predictive	predictive	ADJ
aiti-11568	368	16	results	result	NOUN
aiti-11568	368	17	of	of	ADP
aiti-11568	368	18	the	the	DET
aiti-11568	368	19	four	four	NUM
aiti-11568	368	20	types	type	NOUN
aiti-11568	368	21	in	in	ADP
aiti-11568	368	22	the	the	DET
aiti-11568	368	23	test	test	NOUN
aiti-11568	368	24	set	set	NOUN
aiti-11568	368	25	achieved	achieve	VERB
aiti-11568	368	26	an	an	DET
aiti-11568	368	27	accuracy	accuracy	NOUN
aiti-11568	368	28	of	of	ADP
aiti-11568	368	29	95.19	95.19	NUM
aiti-11568	368	30	%	%	NOUN
aiti-11568	368	31	for	for	ADP
aiti-11568	368	32	early	early	ADJ
aiti-11568	368	33	blight	blight	NOUN
aiti-11568	368	34	,	,	PUNCT
aiti-11568	368	35	96.78	96.78	NUM
aiti-11568	368	36	%	%	NOUN
aiti-11568	368	37	for	for	ADP
aiti-11568	368	38	yellow	yellow	ADJ
aiti-11568	368	39	curl	curl	NOUN
aiti-11568	368	40	virus	virus	NOUN
aiti-11568	368	41	,	,	PUNCT
aiti-11568	368	42	97.41	97.41	NUM
aiti-11568	368	43	%	%	NOUN
aiti-11568	368	44	for	for	ADP
aiti-11568	368	45	septoria	septoria	NOUN
aiti-11568	368	46	,	,	PUNCT
aiti-11568	368	47	and	and	CCONJ
aiti-11568	368	48	the	the	DET
aiti-11568	368	49	accuracy	accuracy	NOUN
aiti-11568	368	50	of	of	ADP
aiti-11568	368	51	97.5	97.5	NUM
aiti-11568	368	52	%	%	NOUN
aiti-11568	368	53	for	for	ADP
aiti-11568	368	54	healthy	healthy	ADJ
aiti-11568	368	55	leaves	leave	NOUN
aiti-11568	368	56	.	.	PUNCT
aiti-11568	369	1	these	these	DET
aiti-11568	369	2	results	result	NOUN
aiti-11568	369	3	prove	prove	VERB
aiti-11568	369	4	that	that	SCONJ
aiti-11568	369	5	the	the	DET
aiti-11568	369	6	proposed	propose	VERB
aiti-11568	369	7	model	model	NOUN
aiti-11568	369	8	can	can	AUX
aiti-11568	369	9	classify	classify	VERB
aiti-11568	369	10	early	early	ADJ
aiti-11568	369	11	blight	blight	NOUN
aiti-11568	369	12	and	and	CCONJ
aiti-11568	369	13	healthy	healthy	ADJ
aiti-11568	369	14	leaves	leave	NOUN
aiti-11568	369	15	.	.	PUNCT
aiti-11568	370	1	both	both	DET
aiti-11568	370	2	results	result	NOUN
aiti-11568	370	3	achieved	achieve	VERB
aiti-11568	370	4	more	more	ADJ
aiti-11568	370	5	than	than	ADP
aiti-11568	370	6	90	90	NUM
aiti-11568	370	7	%	%	NOUN
aiti-11568	370	8	accuracy	accuracy	NOUN
aiti-11568	370	9	.	.	PUNCT
aiti-11568	371	1	advances	advance	NOUN
aiti-11568	371	2	in	in	ADP
aiti-11568	371	3	technology	technology	NOUN
aiti-11568	371	4	innovation	innovation	NOUN
aiti-11568	371	5	,	,	PUNCT
aiti-11568	371	6	vol	vol	NOUN
aiti-11568	371	7	.	.	PROPN
aiti-11568	371	8	8	8	NUM
aiti-11568	371	9	,	,	PUNCT
aiti-11568	371	10	no	no	INTJ
aiti-11568	371	11	.	.	NOUN
aiti-11568	371	12	3	3	NUM
aiti-11568	371	13	,	,	PUNCT
aiti-11568	371	14	2023	2023	NUM
aiti-11568	371	15	,	,	PUNCT
aiti-11568	371	16	pp	pp	ADJ
aiti-11568	371	17	.	.	PUNCT
aiti-11568	372	1	192	192	NUM
aiti-11568	372	2	-	-	SYM
aiti-11568	372	3	209	209	NUM
aiti-11568	372	4	206	206	NUM
aiti-11568	372	5	fig	fig	NOUN
aiti-11568	372	6	.	.	PUNCT
aiti-11568	373	1	12	12	NUM
aiti-11568	373	2	confusion	confusion	NOUN
aiti-11568	373	3	matrix	matrix	NOUN
aiti-11568	373	4	of	of	ADP
aiti-11568	373	5	the	the	DET
aiti-11568	373	6	proposed	propose	VERB
aiti-11568	373	7	method	method	NOUN
aiti-11568	373	8	in	in	ADP
aiti-11568	373	9	scenario	scenario	NOUN
aiti-11568	373	10	2	2	NUM
aiti-11568	373	11	4.5	4.5	NUM
aiti-11568	373	12	.	.	PUNCT
aiti-11568	374	1	discussion	discussion	NOUN
aiti-11568	374	2	through	through	ADP
aiti-11568	374	3	the	the	DET
aiti-11568	374	4	two	two	NUM
aiti-11568	374	5	scenarios	scenario	NOUN
aiti-11568	374	6	that	that	PRON
aiti-11568	374	7	were	be	AUX
aiti-11568	374	8	run	run	VERB
aiti-11568	374	9	,	,	PUNCT
aiti-11568	374	10	the	the	DET
aiti-11568	374	11	results	result	NOUN
aiti-11568	374	12	revealed	reveal	VERB
aiti-11568	374	13	that	that	SCONJ
aiti-11568	374	14	every	every	DET
aiti-11568	374	15	prediction	prediction	NOUN
aiti-11568	374	16	case	case	NOUN
aiti-11568	374	17	had	have	VERB
aiti-11568	374	18	more	more	ADV
aiti-11568	374	19	accurate	accurate	ADJ
aiti-11568	374	20	results	result	NOUN
aiti-11568	374	21	than	than	ADP
aiti-11568	374	22	90	90	NUM
aiti-11568	374	23	%	%	NOUN
aiti-11568	374	24	;	;	PUNCT
aiti-11568	374	25	this	this	PRON
aiti-11568	374	26	was	be	AUX
aiti-11568	374	27	the	the	DET
aiti-11568	374	28	level	level	NOUN
aiti-11568	374	29	of	of	ADP
aiti-11568	374	30	accuracy	accuracy	NOUN
aiti-11568	374	31	that	that	SCONJ
aiti-11568	374	32	the	the	DET
aiti-11568	374	33	author	author	NOUN
aiti-11568	374	34	desired	desire	VERB
aiti-11568	374	35	and	and	CCONJ
aiti-11568	374	36	was	be	AUX
aiti-11568	374	37	surpassed	surpass	VERB
aiti-11568	374	38	by	by	ADP
aiti-11568	374	39	the	the	DET
aiti-11568	374	40	actual	actual	ADJ
aiti-11568	374	41	outcomes	outcome	NOUN
aiti-11568	374	42	.	.	PUNCT
aiti-11568	375	1	in	in	ADP
aiti-11568	375	2	scenario	scenario	NOUN
aiti-11568	375	3	1	1	NUM
aiti-11568	375	4	,	,	PUNCT
aiti-11568	375	5	the	the	DET
aiti-11568	375	6	results	result	NOUN
aiti-11568	375	7	of	of	ADP
aiti-11568	375	8	discriminating	discriminate	VERB
aiti-11568	375	9	between	between	ADP
aiti-11568	375	10	early	early	ADJ
aiti-11568	375	11	blight	blight	NOUN
aiti-11568	375	12	and	and	CCONJ
aiti-11568	375	13	healthy	healthy	ADJ
aiti-11568	375	14	cases	case	NOUN
aiti-11568	375	15	are	be	AUX
aiti-11568	375	16	close	close	ADJ
aiti-11568	375	17	to	to	PART
aiti-11568	375	18	100	100	NUM
aiti-11568	375	19	%	%	NOUN
aiti-11568	375	20	.	.	PUNCT
aiti-11568	376	1	there	there	PRON
aiti-11568	376	2	is	be	VERB
aiti-11568	376	3	almost	almost	ADV
aiti-11568	376	4	no	no	PRON
aiti-11568	376	5	confusion	confusion	NOUN
aiti-11568	376	6	in	in	ADP
aiti-11568	376	7	the	the	DET
aiti-11568	376	8	machine	machine	NOUN
aiti-11568	376	9	learning	learning	NOUN
aiti-11568	376	10	process	process	NOUN
aiti-11568	376	11	.	.	PUNCT
aiti-11568	377	1	furthermore	furthermore	ADV
aiti-11568	377	2	,	,	PUNCT
aiti-11568	377	3	the	the	DET
aiti-11568	377	4	classification	classification	NOUN
aiti-11568	377	5	between	between	ADP
aiti-11568	377	6	yellow	yellow	ADJ
aiti-11568	377	7	curl	curl	NOUN
aiti-11568	377	8	virus	virus	NOUN
aiti-11568	377	9	and	and	CCONJ
aiti-11568	377	10	healthy	healthy	ADJ
aiti-11568	377	11	cases	case	NOUN
aiti-11568	377	12	and	and	CCONJ
aiti-11568	377	13	the	the	DET
aiti-11568	377	14	tasks	task	NOUN
aiti-11568	377	15	of	of	ADP
aiti-11568	377	16	discriminating	discriminate	VERB
aiti-11568	377	17	between	between	ADP
aiti-11568	377	18	septoria	septoria	ADJ
aiti-11568	377	19	and	and	CCONJ
aiti-11568	377	20	healthy	healthy	ADJ
aiti-11568	377	21	samples	sample	NOUN
aiti-11568	377	22	also	also	ADV
aiti-11568	377	23	exhibits	exhibit	VERB
aiti-11568	377	24	similar	similar	ADJ
aiti-11568	377	25	performance	performance	NOUN
aiti-11568	377	26	.	.	PUNCT
aiti-11568	378	1	because	because	SCONJ
aiti-11568	378	2	two	two	NUM
aiti-11568	378	3	diseases	disease	NOUN
aiti-11568	378	4	,	,	PUNCT
aiti-11568	378	5	including	include	VERB
aiti-11568	378	6	septoria	septoria	ADJ
aiti-11568	378	7	and	and	CCONJ
aiti-11568	378	8	yellow	yellow	ADJ
aiti-11568	378	9	curl	curl	NOUN
aiti-11568	378	10	virus	virus	NOUN
aiti-11568	378	11	,	,	PUNCT
aiti-11568	378	12	are	be	AUX
aiti-11568	378	13	more	more	ADV
aiti-11568	378	14	challenging	challenging	ADJ
aiti-11568	378	15	to	to	PART
aiti-11568	378	16	recognize	recognize	VERB
aiti-11568	378	17	than	than	ADP
aiti-11568	378	18	early	early	ADJ
aiti-11568	378	19	blight	blight	NOUN
aiti-11568	378	20	,	,	PUNCT
aiti-11568	378	21	the	the	DET
aiti-11568	378	22	results	result	NOUN
aiti-11568	378	23	are	be	AUX
aiti-11568	378	24	somewhat	somewhat	ADV
aiti-11568	378	25	not	not	PART
aiti-11568	378	26	as	as	ADV
aiti-11568	378	27	high	high	ADJ
aiti-11568	378	28	as	as	ADP
aiti-11568	378	29	early	early	ADJ
aiti-11568	378	30	blight	blight	NOUN
aiti-11568	378	31	.	.	PUNCT
aiti-11568	379	1	fig	fig	NOUN
aiti-11568	379	2	.	.	PUNCT
aiti-11568	380	1	13	13	NUM
aiti-11568	380	2	transfer	transfer	NOUN
aiti-11568	380	3	learning	learning	NOUN
aiti-11568	380	4	model	model	NOUN
aiti-11568	380	5	results	result	NOUN
aiti-11568	380	6	on	on	ADP
aiti-11568	380	7	different	different	ADJ
aiti-11568	380	8	scenario	scenario	NOUN
aiti-11568	380	9	experiments	experiment	NOUN
aiti-11568	380	10	with	with	ADP
aiti-11568	380	11	various	various	ADJ
aiti-11568	380	12	metrics	metric	NOUN
aiti-11568	380	13	in	in	ADP
aiti-11568	380	14	scenario	scenario	NOUN
aiti-11568	380	15	2	2	NUM
aiti-11568	380	16	,	,	PUNCT
aiti-11568	380	17	the	the	DET
aiti-11568	380	18	implementation	implementation	NOUN
aiti-11568	380	19	of	of	ADP
aiti-11568	380	20	training	training	NOUN
aiti-11568	380	21	three	three	NUM
aiti-11568	380	22	diseases	disease	NOUN
aiti-11568	380	23	and	and	CCONJ
aiti-11568	380	24	healthy	healthy	ADJ
aiti-11568	380	25	cases	case	NOUN
aiti-11568	380	26	can	can	AUX
aiti-11568	380	27	be	be	AUX
aiti-11568	380	28	more	more	ADV
aiti-11568	380	29	complicated	complicated	ADJ
aiti-11568	380	30	,	,	PUNCT
aiti-11568	380	31	and	and	CCONJ
aiti-11568	380	32	the	the	DET
aiti-11568	380	33	implementation	implementation	NOUN
aiti-11568	380	34	time	time	NOUN
aiti-11568	380	35	might	might	AUX
aiti-11568	380	36	also	also	ADV
aiti-11568	380	37	be	be	AUX
aiti-11568	380	38	longer	long	ADJ
aiti-11568	380	39	.	.	PUNCT
aiti-11568	381	1	this	this	PRON
aiti-11568	381	2	is	be	AUX
aiti-11568	381	3	the	the	DET
aiti-11568	381	4	promising	promising	ADJ
aiti-11568	381	5	result	result	NOUN
aiti-11568	381	6	of	of	ADP
aiti-11568	381	7	the	the	DET
aiti-11568	381	8	proposed	propose	VERB
aiti-11568	381	9	model	model	NOUN
aiti-11568	381	10	in	in	ADP
aiti-11568	381	11	distinguishing	distinguish	VERB
aiti-11568	381	12	some	some	DET
aiti-11568	381	13	specific	specific	ADJ
aiti-11568	381	14	diseases	disease	NOUN
aiti-11568	381	15	on	on	ADP
aiti-11568	381	16	tomato	tomato	NOUN
aiti-11568	381	17	leaves	leave	NOUN
aiti-11568	381	18	.	.	PUNCT
aiti-11568	382	1	all	all	DET
aiti-11568	382	2	the	the	DET
aiti-11568	382	3	accuracy	accuracy	NOUN
aiti-11568	382	4	,	,	PUNCT
aiti-11568	382	5	validation	validation	NOUN
aiti-11568	382	6	accuracy	accuracy	NOUN
aiti-11568	382	7	,	,	PUNCT
aiti-11568	382	8	test	test	NOUN
aiti-11568	382	9	accuracy	accuracy	NOUN
aiti-11568	382	10	,	,	PUNCT
aiti-11568	382	11	and	and	CCONJ
aiti-11568	382	12	f1	f1	NOUN
aiti-11568	382	13	-	-	PUNCT
aiti-11568	382	14	score	score	NOUN
aiti-11568	382	15	calculated	calculate	VERB
aiti-11568	382	16	of	of	ADP
aiti-11568	382	17	the	the	DET
aiti-11568	382	18	proposed	propose	VERB
aiti-11568	382	19	model	model	NOUN
aiti-11568	382	20	in	in	ADP
aiti-11568	382	21	two	two	NUM
aiti-11568	382	22	scenarios	scenario	NOUN
aiti-11568	382	23	are	be	AUX
aiti-11568	382	24	summarized	summarize	VERB
aiti-11568	382	25	in	in	ADP
aiti-11568	382	26	fig	fig	NOUN
aiti-11568	382	27	.	.	PUNCT
aiti-11568	383	1	13	13	NUM
aiti-11568	383	2	.	.	PUNCT
aiti-11568	384	1	the	the	DET
aiti-11568	384	2	experimental	experimental	ADJ
aiti-11568	384	3	results	result	NOUN
aiti-11568	384	4	show	show	VERB
aiti-11568	384	5	promising	promise	VERB
aiti-11568	384	6	results	result	NOUN
aiti-11568	384	7	when	when	SCONJ
aiti-11568	384	8	training	training	NOUN
aiti-11568	384	9	,	,	PUNCT
aiti-11568	384	10	testing	testing	NOUN
aiti-11568	384	11	,	,	PUNCT
aiti-11568	384	12	and	and	CCONJ
aiti-11568	384	13	evaluating	evaluate	VERB
aiti-11568	384	14	the	the	DET
aiti-11568	384	15	proposed	propose	VERB
aiti-11568	384	16	model	model	NOUN
aiti-11568	384	17	in	in	ADP
aiti-11568	384	18	two	two	NUM
aiti-11568	384	19	scenarios	scenario	NOUN
aiti-11568	384	20	suitable	suitable	ADJ
aiti-11568	384	21	for	for	ADP
aiti-11568	384	22	plant	plant	NOUN
aiti-11568	384	23	disease	disease	NOUN
aiti-11568	384	24	detection	detection	NOUN
aiti-11568	384	25	.	.	PUNCT
aiti-11568	385	1	as	as	SCONJ
aiti-11568	385	2	observed	observe	VERB
aiti-11568	385	3	in	in	ADP
aiti-11568	385	4	scenario	scenario	NOUN
aiti-11568	385	5	2	2	NUM
aiti-11568	385	6	,	,	PUNCT
aiti-11568	385	7	the	the	DET
aiti-11568	385	8	proposed	propose	VERB
aiti-11568	385	9	model	model	NOUN
aiti-11568	385	10	achieves	achieve	VERB
aiti-11568	385	11	97.17	97.17	NUM
aiti-11568	385	12	%	%	NOUN
aiti-11568	385	13	accuracy	accuracy	NOUN
aiti-11568	385	14	when	when	SCONJ
aiti-11568	385	15	predicting	predict	VERB
aiti-11568	385	16	three	three	NUM
aiti-11568	385	17	classifications	classification	NOUN
aiti-11568	385	18	,	,	PUNCT
aiti-11568	385	19	and	and	CCONJ
aiti-11568	385	20	the	the	DET
aiti-11568	385	21	f1	f1	NOUN
aiti-11568	385	22	-	-	PUNCT
aiti-11568	385	23	score	score	NOUN
aiti-11568	385	24	accuracy	accuracy	NOUN
aiti-11568	385	25	is	be	AUX
aiti-11568	385	26	0.9442	0.9442	NUM
aiti-11568	385	27	on	on	ADP
aiti-11568	385	28	the	the	DET
aiti-11568	385	29	testing	testing	NOUN
aiti-11568	385	30	set	set	NOUN
aiti-11568	385	31	.	.	PUNCT
aiti-11568	386	1	in	in	ADP
aiti-11568	386	2	addition	addition	NOUN
aiti-11568	386	3	,	,	PUNCT
aiti-11568	386	4	the	the	DET
aiti-11568	386	5	accuracy	accuracy	NOUN
aiti-11568	386	6	score	score	NOUN
aiti-11568	386	7	achieves	achieve	VERB
aiti-11568	386	8	higher	high	ADJ
aiti-11568	386	9	when	when	SCONJ
aiti-11568	386	10	there	there	PRON
aiti-11568	386	11	is	be	VERB
aiti-11568	386	12	sufficient	sufficient	ADJ
aiti-11568	386	13	accuracy	accuracy	NOUN
aiti-11568	386	14	in	in	ADP
aiti-11568	386	15	one	one	NUM
aiti-11568	386	16	classification	classification	NOUN
aiti-11568	386	17	,	,	PUNCT
aiti-11568	386	18	with	with	ADP
aiti-11568	386	19	more	more	ADJ
aiti-11568	386	20	than	than	ADP
aiti-11568	386	21	99.68	99.68	NUM
aiti-11568	386	22	%	%	NOUN
aiti-11568	386	23	accuracy	accuracy	NOUN
aiti-11568	386	24	in	in	ADP
aiti-11568	386	25	the	the	DET
aiti-11568	386	26	first	first	ADJ
aiti-11568	386	27	scenario	scenario	NOUN
aiti-11568	386	28	(	(	PUNCT
aiti-11568	386	29	early	early	ADJ
aiti-11568	386	30	blight	blight	NOUN
aiti-11568	386	31	)	)	PUNCT
aiti-11568	386	32	,	,	PUNCT
aiti-11568	386	33	more	more	ADJ
aiti-11568	386	34	than	than	ADP
aiti-11568	386	35	98.57	98.57	NUM
aiti-11568	386	36	%	%	NOUN
aiti-11568	386	37	in	in	ADP
aiti-11568	386	38	the	the	DET
aiti-11568	386	39	first	first	ADJ
aiti-11568	386	40	(	(	PUNCT
aiti-11568	386	41	yellow	yellow	ADJ
aiti-11568	386	42	curl	curl	NOUN
aiti-11568	386	43	)	)	PUNCT
aiti-11568	386	44	,	,	PUNCT
aiti-11568	386	45	and	and	CCONJ
aiti-11568	386	46	more	more	ADJ
aiti-11568	386	47	than	than	ADP
aiti-11568	386	48	98.18	98.18	NUM
aiti-11568	386	49	%	%	NOUN
aiti-11568	386	50	in	in	ADP
aiti-11568	386	51	the	the	DET
aiti-11568	386	52	first	first	ADJ
aiti-11568	386	53	scenario	scenario	NOUN
aiti-11568	386	54	(	(	PUNCT
aiti-11568	386	55	septoria	septoria	PROPN
aiti-11568	386	56	)	)	PUNCT
aiti-11568	386	57	.	.	PUNCT
aiti-11568	387	1	advances	advance	NOUN
aiti-11568	387	2	in	in	ADP
aiti-11568	387	3	technology	technology	NOUN
aiti-11568	387	4	innovation	innovation	NOUN
aiti-11568	387	5	,	,	PUNCT
aiti-11568	387	6	vol	vol	NOUN
aiti-11568	387	7	.	.	PROPN
aiti-11568	387	8	8	8	NUM
aiti-11568	387	9	,	,	PUNCT
aiti-11568	387	10	no	no	INTJ
aiti-11568	387	11	.	.	NOUN
aiti-11568	387	12	3	3	NUM
aiti-11568	387	13	,	,	PUNCT
aiti-11568	387	14	2023	2023	NUM
aiti-11568	387	15	,	,	PUNCT
aiti-11568	387	16	pp	pp	ADJ
aiti-11568	387	17	.	.	PUNCT
aiti-11568	388	1	192	192	NUM
aiti-11568	388	2	-	-	SYM
aiti-11568	388	3	209	209	NUM
aiti-11568	388	4	207	207	NUM
aiti-11568	388	5	the	the	DET
aiti-11568	388	6	cumulative	cumulative	ADJ
aiti-11568	388	7	match	match	NOUN
aiti-11568	388	8	curve	curve	NOUN
aiti-11568	388	9	(	(	PUNCT
aiti-11568	388	10	cmc	cmc	NOUN
aiti-11568	388	11	)	)	PUNCT
aiti-11568	388	12	is	be	AUX
aiti-11568	388	13	also	also	ADV
aiti-11568	388	14	used	use	VERB
aiti-11568	388	15	to	to	PART
aiti-11568	388	16	illustrate	illustrate	VERB
aiti-11568	388	17	the	the	DET
aiti-11568	388	18	comparison	comparison	NOUN
aiti-11568	388	19	of	of	ADP
aiti-11568	388	20	the	the	DET
aiti-11568	388	21	proposed	propose	VERB
aiti-11568	388	22	model	model	NOUN
aiti-11568	388	23	with	with	ADP
aiti-11568	388	24	other	other	ADJ
aiti-11568	388	25	architectures	architecture	NOUN
aiti-11568	388	26	in	in	ADP
aiti-11568	388	27	another	another	DET
aiti-11568	388	28	view	view	NOUN
aiti-11568	388	29	with	with	ADP
aiti-11568	388	30	the	the	PRON
aiti-11568	388	31	x−axis	x−axis	PROPN
aiti-11568	388	32	to	to	ADP
aiti-11568	388	33	a	a	DET
aiti-11568	388	34	constant	constant	ADJ
aiti-11568	388	35	value	value	NOUN
aiti-11568	388	36	of	of	ADP
aiti-11568	388	37	rank	rank	NOUN
aiti-11568	388	38	and	and	CCONJ
aiti-11568	388	39	the	the	DET
aiti-11568	388	40	y−axis	y−axis	PROPN
aiti-11568	388	41	for	for	ADP
aiti-11568	388	42	the	the	DET
aiti-11568	388	43	recognition	recognition	NOUN
aiti-11568	388	44	rate	rate	NOUN
aiti-11568	388	45	.	.	PUNCT
aiti-11568	389	1	the	the	DET
aiti-11568	389	2	curve	curve	NOUN
aiti-11568	389	3	getting	get	VERB
aiti-11568	389	4	up	up	ADP
aiti-11568	389	5	and	and	CCONJ
aiti-11568	389	6	then	then	ADV
aiti-11568	389	7	moving	move	VERB
aiti-11568	389	8	to	to	ADP
aiti-11568	389	9	the	the	DET
aiti-11568	389	10	top	top	NOUN
aiti-11568	389	11	of	of	ADP
aiti-11568	389	12	the	the	DET
aiti-11568	389	13	right	right	ADJ
aiti-11568	389	14	side	side	NOUN
aiti-11568	389	15	is	be	AUX
aiti-11568	389	16	the	the	DET
aiti-11568	389	17	best	good	ADJ
aiti-11568	389	18	system	system	NOUN
aiti-11568	389	19	.	.	PUNCT
aiti-11568	390	1	the	the	DET
aiti-11568	390	2	cmc	cmc	PROPN
aiti-11568	390	3	curve	curve	NOUN
aiti-11568	390	4	plays	play	VERB
aiti-11568	390	5	an	an	DET
aiti-11568	390	6	essential	essential	ADJ
aiti-11568	390	7	part	part	NOUN
aiti-11568	390	8	in	in	ADP
aiti-11568	390	9	evaluating	evaluate	VERB
aiti-11568	390	10	.	.	PUNCT
aiti-11568	391	1	it	it	PRON
aiti-11568	391	2	judges	judge	VERB
aiti-11568	391	3	the	the	DET
aiti-11568	391	4	ranking	rank	VERB
aiti-11568	391	5	capabilities	capability	NOUN
aiti-11568	391	6	of	of	ADP
aiti-11568	391	7	an	an	DET
aiti-11568	391	8	identification	identification	NOUN
aiti-11568	391	9	system	system	NOUN
aiti-11568	391	10	.	.	PUNCT
aiti-11568	392	1	the	the	DET
aiti-11568	392	2	results	result	NOUN
aiti-11568	392	3	shown	show	VERB
aiti-11568	392	4	in	in	ADP
aiti-11568	392	5	fig	fig	NOUN
aiti-11568	392	6	.	.	PUNCT
aiti-11568	393	1	14	14	NUM
aiti-11568	393	2	show	show	VERB
aiti-11568	393	3	that	that	SCONJ
aiti-11568	393	4	the	the	DET
aiti-11568	393	5	proposed	propose	VERB
aiti-11568	393	6	method	method	NOUN
aiti-11568	393	7	gives	give	VERB
aiti-11568	393	8	the	the	DET
aiti-11568	393	9	best	good	ADJ
aiti-11568	393	10	and	and	CCONJ
aiti-11568	393	11	most	most	ADV
aiti-11568	393	12	stable	stable	ADJ
aiti-11568	393	13	prediction	prediction	NOUN
aiti-11568	393	14	results	result	NOUN
aiti-11568	393	15	.	.	PUNCT
aiti-11568	394	1	fig	fig	NOUN
aiti-11568	394	2	.	.	PUNCT
aiti-11568	395	1	14	14	NUM
aiti-11568	395	2	the	the	DET
aiti-11568	395	3	cmc	cmc	NOUN
aiti-11568	395	4	in	in	ADP
aiti-11568	395	5	the	the	DET
aiti-11568	395	6	architecture	architecture	NOUN
aiti-11568	395	7	’s	’s	PART
aiti-11568	395	8	comparison	comparison	NOUN
aiti-11568	395	9	on	on	ADP
aiti-11568	395	10	the	the	DET
aiti-11568	395	11	test	test	NOUN
aiti-11568	395	12	set	set	VERB
aiti-11568	395	13	based	base	VERB
aiti-11568	395	14	on	on	ADP
aiti-11568	395	15	the	the	DET
aiti-11568	395	16	experimental	experimental	ADJ
aiti-11568	395	17	findings	finding	NOUN
aiti-11568	395	18	above	above	ADV
aiti-11568	395	19	,	,	PUNCT
aiti-11568	395	20	the	the	DET
aiti-11568	395	21	proposed	propose	VERB
aiti-11568	395	22	model	model	NOUN
aiti-11568	395	23	is	be	AUX
aiti-11568	395	24	appropriate	appropriate	ADJ
aiti-11568	395	25	for	for	ADP
aiti-11568	395	26	diagnosing	diagnose	VERB
aiti-11568	395	27	various	various	ADJ
aiti-11568	395	28	illnesses	illness	NOUN
aiti-11568	395	29	on	on	ADP
aiti-11568	395	30	tomato	tomato	NOUN
aiti-11568	395	31	leaves	leave	NOUN
aiti-11568	395	32	using	use	VERB
aiti-11568	395	33	color	color	NOUN
aiti-11568	395	34	images	image	NOUN
aiti-11568	395	35	compared	compare	VERB
aiti-11568	395	36	to	to	ADP
aiti-11568	395	37	the	the	DET
aiti-11568	395	38	previous	previous	ADJ
aiti-11568	395	39	study	study	NOUN
aiti-11568	395	40	as	as	SCONJ
aiti-11568	395	41	presented	present	VERB
aiti-11568	395	42	in	in	ADP
aiti-11568	395	43	table	table	NOUN
aiti-11568	395	44	8	8	NUM
aiti-11568	395	45	.	.	PUNCT
aiti-11568	396	1	the	the	DET
aiti-11568	396	2	results	result	NOUN
aiti-11568	396	3	show	show	VERB
aiti-11568	396	4	that	that	SCONJ
aiti-11568	396	5	the	the	DET
aiti-11568	396	6	proposed	propose	VERB
aiti-11568	396	7	model	model	NOUN
aiti-11568	396	8	(	(	PUNCT
aiti-11568	396	9	improved	improved	ADJ
aiti-11568	396	10	mobilenet	mobilenet	NOUN
aiti-11568	396	11	)	)	PUNCT
aiti-11568	396	12	outperforms	outperform	VERB
aiti-11568	396	13	most	most	ADV
aiti-11568	396	14	recently	recently	ADV
aiti-11568	396	15	published	publish	VERB
aiti-11568	396	16	efforts	effort	NOUN
aiti-11568	396	17	on	on	ADP
aiti-11568	396	18	identifying	identify	VERB
aiti-11568	396	19	disease	disease	NOUN
aiti-11568	396	20	signals	signal	NOUN
aiti-11568	396	21	in	in	ADP
aiti-11568	396	22	tomato	tomato	NOUN
aiti-11568	396	23	plants	plant	NOUN
aiti-11568	396	24	.	.	PUNCT
aiti-11568	397	1	furthermore	furthermore	ADV
aiti-11568	397	2	,	,	PUNCT
aiti-11568	397	3	based	base	VERB
aiti-11568	397	4	on	on	ADP
aiti-11568	397	5	the	the	DET
aiti-11568	397	6	test	test	NOUN
aiti-11568	397	7	results	result	NOUN
aiti-11568	397	8	,	,	PUNCT
aiti-11568	397	9	the	the	DET
aiti-11568	397	10	machine	machine	NOUN
aiti-11568	397	11	learning	learning	NOUN
aiti-11568	397	12	process	process	NOUN
aiti-11568	397	13	on	on	ADP
aiti-11568	397	14	the	the	DET
aiti-11568	397	15	cnn	cnn	PROPN
aiti-11568	397	16	mobilenet	mobilenet	NOUN
aiti-11568	397	17	model	model	NOUN
aiti-11568	397	18	gives	give	VERB
aiti-11568	397	19	a	a	DET
aiti-11568	397	20	positive	positive	ADJ
aiti-11568	397	21	and	and	CCONJ
aiti-11568	397	22	promising	promising	ADJ
aiti-11568	397	23	result	result	NOUN
aiti-11568	397	24	.	.	PUNCT
aiti-11568	398	1	table	table	NOUN
aiti-11568	398	2	8	8	NUM
aiti-11568	398	3	comparative	comparative	ADJ
aiti-11568	398	4	analysis	analysis	NOUN
aiti-11568	398	5	of	of	ADP
aiti-11568	398	6	the	the	DET
aiti-11568	398	7	proposed	propose	VERB
aiti-11568	398	8	mobilenet	mobilenet	NOUN
aiti-11568	398	9	model	model	NOUN
aiti-11568	398	10	with	with	ADP
aiti-11568	398	11	state	state	NOUN
aiti-11568	398	12	-	-	PUNCT
aiti-11568	398	13	of	of	ADP
aiti-11568	398	14	-	-	PUNCT
aiti-11568	398	15	the	the	DET
aiti-11568	398	16	-	-	PUNCT
aiti-11568	398	17	art	art	NOUN
aiti-11568	398	18	methods	method	NOUN
aiti-11568	398	19	references	reference	NOUN
aiti-11568	398	20	dataset	dataset	NOUN
aiti-11568	398	21	model	model	NOUN
aiti-11568	398	22	result	result	NOUN
aiti-11568	398	23	accuracy	accuracy	NOUN
aiti-11568	398	24	result	result	NOUN
aiti-11568	398	25	bhagwat	bhagwat	PROPN
aiti-11568	398	26	et	et	PROPN
aiti-11568	398	27	al	al	PROPN
aiti-11568	398	28	.	.	PUNCT
aiti-11568	399	1	[	[	X
aiti-11568	399	2	3	3	NUM
aiti-11568	399	3	]	]	X
aiti-11568	399	4	plantvillage	plantvillage	NOUN
aiti-11568	399	5	dataset	dataset	NOUN
aiti-11568	399	6	support	support	NOUN
aiti-11568	399	7	vector	vector	NOUN
aiti-11568	399	8	machine	machine	NOUN
aiti-11568	399	9	91.5	91.5	NUM
aiti-11568	399	10	%	%	NOUN
aiti-11568	399	11	durmus	durmus	NOUN
aiti-11568	399	12	et	et	PROPN
aiti-11568	399	13	al	al	PROPN
aiti-11568	399	14	.	.	PUNCT
aiti-11568	400	1	[	[	X
aiti-11568	400	2	8	8	NUM
aiti-11568	400	3	]	]	X
aiti-11568	400	4	plantvillage	plantvillage	NOUN
aiti-11568	400	5	dataset	dataset	VERB
aiti-11568	400	6	fine	fine	ADV
aiti-11568	400	7	-	-	PUNCT
aiti-11568	400	8	tuned	tune	VERB
aiti-11568	400	9	squeezenet	squeezenet	NOUN
aiti-11568	400	10	94.30	94.30	NUM
aiti-11568	400	11	%	%	NOUN
aiti-11568	400	12	fine	fine	ADV
aiti-11568	400	13	-	-	PUNCT
aiti-11568	400	14	tuned	tune	VERB
aiti-11568	400	15	alexnet	alexnet	ADJ
aiti-11568	400	16	95.65	95.65	NUM
aiti-11568	400	17	%	%	NOUN
aiti-11568	400	18	adhikari	adhikari	PROPN
aiti-11568	400	19	et	et	PROPN
aiti-11568	400	20	al	al	PROPN
aiti-11568	400	21	.	.	PUNCT
aiti-11568	401	1	[	[	X
aiti-11568	401	2	10	10	NUM
aiti-11568	401	3	]	]	X
aiti-11568	401	4	imagenet	imagenet	NOUN
aiti-11568	401	5	(	(	PUNCT
aiti-11568	401	6	colored	color	VERB
aiti-11568	401	7	images	image	NOUN
aiti-11568	401	8	)	)	PUNCT
aiti-11568	401	9	insprired	insprire	VERB
aiti-11568	401	10	by	by	ADP
aiti-11568	401	11	alexnet	alexnet	PROPN
aiti-11568	401	12	and	and	CCONJ
aiti-11568	401	13	yolo	yolo	ADJ
aiti-11568	401	14	92.61	92.61	NUM
aiti-11568	401	15	%	%	NOUN
aiti-11568	401	16	tm	tm	PROPN
aiti-11568	401	17	et	et	PROPN
aiti-11568	401	18	al	al	PROPN
aiti-11568	401	19	.	.	PUNCT
aiti-11568	402	1	[	[	X
aiti-11568	402	2	14	14	NUM
aiti-11568	402	3	]	]	X
aiti-11568	402	4	plantvillage	plantvillage	NOUN
aiti-11568	402	5	dataset	dataset	VERB
aiti-11568	402	6	fine	fine	ADV
aiti-11568	402	7	-	-	PUNCT
aiti-11568	402	8	tuned	tune	VERB
aiti-11568	402	9	lenet	lenet	NOUN
aiti-11568	402	10	94	94	NUM
aiti-11568	402	11	-	-	SYM
aiti-11568	402	12	95	95	NUM
aiti-11568	402	13	%	%	NOUN
aiti-11568	402	14	coulibaly	coulibaly	NOUN
aiti-11568	402	15	et	et	PROPN
aiti-11568	402	16	al	al	PROPN
aiti-11568	402	17	.	.	PUNCT
aiti-11568	403	1	[	[	X
aiti-11568	403	2	18	18	NUM
aiti-11568	403	3	]	]	X
aiti-11568	403	4	imagenet	imagenet	NOUN
aiti-11568	403	5	(	(	PUNCT
aiti-11568	403	6	rgb	rgb	PROPN
aiti-11568	403	7	)	)	PUNCT
aiti-11568	403	8	fine	fine	ADV
aiti-11568	403	9	-	-	PUNCT
aiti-11568	403	10	tuned	tune	VERB
aiti-11568	403	11	vgg16	vgg16	NOUN
aiti-11568	403	12	95.00	95.00	NUM
aiti-11568	403	13	%	%	NOUN
aiti-11568	403	14	ashwinkumar	ashwinkumar	PROPN
aiti-11568	403	15	et	et	PROPN
aiti-11568	403	16	al	al	PROPN
aiti-11568	403	17	.	.	PUNCT
aiti-11568	404	1	[	[	X
aiti-11568	404	2	19	19	NUM
aiti-11568	404	3	]	]	X
aiti-11568	404	4	plantvillage	plantvillage	NOUN
aiti-11568	404	5	dataset	dataset	VERB
aiti-11568	404	6	fine	fine	ADV
aiti-11568	404	7	-	-	PUNCT
aiti-11568	404	8	tuned	tune	VERB
aiti-11568	404	9	mobilenet	mobilenet	NOUN
aiti-11568	404	10	based	base	VERB
aiti-11568	404	11	with	with	ADP
aiti-11568	404	12	omncnn	omncnn	PROPN
aiti-11568	404	13	improved	improve	VERB
aiti-11568	404	14	98.7	98.7	NUM
aiti-11568	404	15	%	%	NOUN
aiti-11568	404	16	kaya	kaya	PROPN
aiti-11568	404	17	and	and	CCONJ
aiti-11568	404	18	gursoy	gursoy	ADJ
aiti-11568	404	19	[	[	X
aiti-11568	404	20	20	20	NUM
aiti-11568	404	21	]	]	PUNCT
aiti-11568	404	22	plantvillage	plantvillage	NOUN
aiti-11568	404	23	dataset	dataset	VERB
aiti-11568	404	24	fine	fine	ADV
aiti-11568	404	25	-	-	PUNCT
aiti-11568	404	26	tuned	tune	VERB
aiti-11568	404	27	densenet	densenet	NOUN
aiti-11568	404	28	98.17	98.17	NUM
aiti-11568	404	29	%	%	NOUN
aiti-11568	404	30	proposed	propose	VERB
aiti-11568	404	31	model	model	NOUN
aiti-11568	404	32	plantvillage	plantvillage	PROPN
aiti-11568	404	33	dataset	dataset	VERB
aiti-11568	404	34	fine	fine	ADV
aiti-11568	404	35	-	-	PUNCT
aiti-11568	404	36	tuned	tune	VERB
aiti-11568	404	37	mobilenet	mobilenet	NOUN
aiti-11568	404	38	97.17	97.17	NUM
aiti-11568	404	39	%	%	NOUN
aiti-11568	404	40	5	5	NUM
aiti-11568	404	41	.	.	PUNCT
aiti-11568	405	1	conclusion	conclusion	NOUN
aiti-11568	405	2	this	this	DET
aiti-11568	405	3	study	study	NOUN
aiti-11568	405	4	fine	fine	ADV
aiti-11568	405	5	-	-	PUNCT
aiti-11568	405	6	tuned	tune	VERB
aiti-11568	405	7	mobilenet	mobilenet	NOUN
aiti-11568	405	8	to	to	PART
aiti-11568	405	9	classify	classify	VERB
aiti-11568	405	10	several	several	ADJ
aiti-11568	405	11	common	common	ADJ
aiti-11568	405	12	tomato	tomato	NOUN
aiti-11568	405	13	leaf	leaf	NOUN
aiti-11568	405	14	diseases	disease	NOUN
aiti-11568	405	15	.	.	PUNCT
aiti-11568	406	1	there	there	PRON
aiti-11568	406	2	are	be	VERB
aiti-11568	406	3	a	a	DET
aiti-11568	406	4	few	few	ADJ
aiti-11568	406	5	of	of	ADP
aiti-11568	406	6	the	the	DET
aiti-11568	406	7	significant	significant	ADJ
aiti-11568	406	8	repercussions	repercussion	NOUN
aiti-11568	406	9	of	of	ADP
aiti-11568	406	10	the	the	DET
aiti-11568	406	11	influence	influence	NOUN
aiti-11568	406	12	of	of	ADP
aiti-11568	406	13	bacteria	bacteria	NOUN
aiti-11568	406	14	,	,	PUNCT
aiti-11568	406	15	viruses	virus	NOUN
aiti-11568	406	16	,	,	PUNCT
aiti-11568	406	17	fungi	fungi	PROPN
aiti-11568	406	18	,	,	PUNCT
aiti-11568	406	19	etc	etc	X
aiti-11568	406	20	.	.	X
aiti-11568	406	21	,	,	PUNCT
aiti-11568	406	22	that	that	PRON
aiti-11568	406	23	can	can	AUX
aiti-11568	406	24	damage	damage	VERB
aiti-11568	406	25	the	the	DET
aiti-11568	406	26	quality	quality	NOUN
aiti-11568	406	27	and	and	CCONJ
aiti-11568	406	28	productivity	productivity	NOUN
aiti-11568	406	29	of	of	ADP
aiti-11568	406	30	tomato	tomato	NOUN
aiti-11568	406	31	plants	plant	NOUN
aiti-11568	406	32	during	during	ADP
aiti-11568	406	33	the	the	DET
aiti-11568	406	34	season	season	NOUN
aiti-11568	406	35	.	.	PUNCT
aiti-11568	407	1	the	the	DET
aiti-11568	407	2	results	result	NOUN
aiti-11568	407	3	of	of	ADP
aiti-11568	407	4	the	the	DET
aiti-11568	407	5	training	training	NOUN
aiti-11568	407	6	model	model	NOUN
aiti-11568	407	7	have	have	AUX
aiti-11568	407	8	significantly	significantly	ADV
aiti-11568	407	9	improved	improve	VERB
aiti-11568	407	10	in	in	ADP
aiti-11568	407	11	comparison	comparison	NOUN
aiti-11568	407	12	to	to	ADP
aiti-11568	407	13	previous	previous	ADJ
aiti-11568	407	14	studies	study	NOUN
aiti-11568	407	15	.	.	PUNCT
aiti-11568	408	1	in	in	ADP
aiti-11568	408	2	addition	addition	NOUN
aiti-11568	408	3	,	,	PUNCT
aiti-11568	408	4	the	the	DET
aiti-11568	408	5	authors	author	NOUN
aiti-11568	408	6	may	may	AUX
aiti-11568	408	7	determine	determine	VERB
aiti-11568	408	8	which	which	DET
aiti-11568	408	9	combination	combination	NOUN
aiti-11568	408	10	strategy	strategy	NOUN
aiti-11568	408	11	provides	provide	VERB
aiti-11568	408	12	the	the	DET
aiti-11568	408	13	highest	high	ADJ
aiti-11568	408	14	potential	potential	ADJ
aiti-11568	408	15	performance	performance	NOUN
aiti-11568	408	16	for	for	ADP
aiti-11568	408	17	the	the	DET
aiti-11568	408	18	situation	situation	NOUN
aiti-11568	408	19	.	.	PUNCT
aiti-11568	409	1	positive	positive	ADJ
aiti-11568	409	2	results	result	NOUN
aiti-11568	409	3	were	be	AUX
aiti-11568	409	4	obtained	obtain	VERB
aiti-11568	409	5	with	with	ADP
aiti-11568	409	6	the	the	DET
aiti-11568	409	7	revised	revise	VERB
aiti-11568	409	8	model	model	NOUN
aiti-11568	409	9	mobilenet	mobilenet	NOUN
aiti-11568	409	10	,	,	PUNCT
aiti-11568	409	11	achieving	achieve	VERB
aiti-11568	409	12	a	a	DET
aiti-11568	409	13	result	result	NOUN
aiti-11568	409	14	of	of	ADP
aiti-11568	409	15	98	98	NUM
aiti-11568	409	16	%	%	NOUN
aiti-11568	409	17	.	.	PUNCT
aiti-11568	410	1	the	the	DET
aiti-11568	410	2	proposed	propose	VERB
aiti-11568	410	3	model	model	NOUN
aiti-11568	410	4	performs	perform	VERB
aiti-11568	410	5	better	well	ADV
aiti-11568	410	6	in	in	ADP
aiti-11568	410	7	both	both	DET
aiti-11568	410	8	circumstances	circumstance	NOUN
aiti-11568	410	9	than	than	ADP
aiti-11568	410	10	the	the	DET
aiti-11568	410	11	other	other	ADJ
aiti-11568	410	12	models	model	NOUN
aiti-11568	410	13	.	.	PUNCT
aiti-11568	411	1	advances	advance	NOUN
aiti-11568	411	2	in	in	ADP
aiti-11568	411	3	technology	technology	NOUN
aiti-11568	411	4	innovation	innovation	NOUN
aiti-11568	411	5	,	,	PUNCT
aiti-11568	411	6	vol	vol	NOUN
aiti-11568	411	7	.	.	PROPN
aiti-11568	411	8	8	8	NUM
aiti-11568	411	9	,	,	PUNCT
aiti-11568	411	10	no	no	INTJ
aiti-11568	411	11	.	.	NOUN
aiti-11568	411	12	3	3	NUM
aiti-11568	411	13	,	,	PUNCT
aiti-11568	411	14	2023	2023	NUM
aiti-11568	411	15	,	,	PUNCT
aiti-11568	411	16	pp	pp	ADJ
aiti-11568	411	17	.	.	PUNCT
aiti-11568	412	1	192	192	NUM
aiti-11568	412	2	-	-	SYM
aiti-11568	412	3	209	209	NUM
aiti-11568	412	4	208	208	NUM
aiti-11568	412	5	in	in	ADP
aiti-11568	412	6	future	future	ADJ
aiti-11568	412	7	research	research	NOUN
aiti-11568	412	8	,	,	PUNCT
aiti-11568	412	9	the	the	DET
aiti-11568	412	10	work	work	NOUN
aiti-11568	412	11	is	be	AUX
aiti-11568	412	12	expected	expect	VERB
aiti-11568	412	13	to	to	PART
aiti-11568	412	14	adapt	adapt	VERB
aiti-11568	412	15	and	and	CCONJ
aiti-11568	412	16	apply	apply	VERB
aiti-11568	412	17	different	different	ADJ
aiti-11568	412	18	data	datum	NOUN
aiti-11568	412	19	preparation	preparation	NOUN
aiti-11568	412	20	strategies	strategy	NOUN
aiti-11568	412	21	to	to	PART
aiti-11568	412	22	improve	improve	VERB
aiti-11568	412	23	the	the	DET
aiti-11568	412	24	prediction	prediction	NOUN
aiti-11568	412	25	model	model	NOUN
aiti-11568	412	26	outputs	output	NOUN
aiti-11568	412	27	further	far	ADV
aiti-11568	412	28	.	.	PUNCT
aiti-11568	413	1	furthermore	furthermore	ADV
aiti-11568	413	2	,	,	PUNCT
aiti-11568	413	3	research	research	NOUN
aiti-11568	413	4	is	be	AUX
aiti-11568	413	5	being	be	AUX
aiti-11568	413	6	conducted	conduct	VERB
aiti-11568	413	7	to	to	PART
aiti-11568	413	8	evaluate	evaluate	VERB
aiti-11568	413	9	various	various	ADJ
aiti-11568	413	10	preprocessing	preprocessing	NOUN
aiti-11568	413	11	approaches	approach	NOUN
aiti-11568	413	12	to	to	ADP
aiti-11568	413	13	tomato	tomato	NOUN
aiti-11568	413	14	leaf	leaf	NOUN
aiti-11568	413	15	pictures	picture	NOUN
aiti-11568	413	16	.	.	PUNCT
aiti-11568	414	1	by	by	ADP
aiti-11568	414	2	enhancing	enhance	VERB
aiti-11568	414	3	the	the	DET
aiti-11568	414	4	data	datum	NOUN
aiti-11568	414	5	,	,	PUNCT
aiti-11568	414	6	the	the	DET
aiti-11568	414	7	data	data	NOUN
aiti-11568	414	8	-	-	PUNCT
aiti-11568	414	9	enhancement	enhancement	NOUN
aiti-11568	414	10	strategy	strategy	NOUN
aiti-11568	414	11	not	not	PART
aiti-11568	414	12	only	only	ADV
aiti-11568	414	13	improves	improve	VERB
aiti-11568	414	14	the	the	DET
aiti-11568	414	15	model	model	NOUN
aiti-11568	414	16	’s	’s	PART
aiti-11568	414	17	performance	performance	NOUN
aiti-11568	414	18	but	but	CCONJ
aiti-11568	414	19	also	also	ADV
aiti-11568	414	20	expands	expand	VERB
aiti-11568	414	21	the	the	DET
aiti-11568	414	22	range	range	NOUN
aiti-11568	414	23	of	of	ADP
aiti-11568	414	24	diseases	disease	NOUN
aiti-11568	414	25	that	that	PRON
aiti-11568	414	26	the	the	DET
aiti-11568	414	27	model	model	NOUN
aiti-11568	414	28	can	can	AUX
aiti-11568	414	29	predict	predict	VERB
aiti-11568	414	30	.	.	PUNCT
aiti-11568	415	1	the	the	DET
aiti-11568	415	2	authors	author	NOUN
aiti-11568	415	3	realize	realize	VERB
aiti-11568	415	4	that	that	SCONJ
aiti-11568	415	5	this	this	DET
aiti-11568	415	6	study	study	NOUN
aiti-11568	415	7	still	still	ADV
aiti-11568	415	8	has	have	VERB
aiti-11568	415	9	shortcomings	shortcoming	NOUN
aiti-11568	415	10	,	,	PUNCT
aiti-11568	415	11	and	and	CCONJ
aiti-11568	415	12	at	at	ADP
aiti-11568	415	13	the	the	DET
aiti-11568	415	14	same	same	ADJ
aiti-11568	415	15	time	time	NOUN
aiti-11568	415	16	,	,	PUNCT
aiti-11568	415	17	some	some	DET
aiti-11568	415	18	points	point	NOUN
aiti-11568	415	19	have	have	VERB
aiti-11568	415	20	yet	yet	ADV
aiti-11568	415	21	to	to	PART
aiti-11568	415	22	be	be	AUX
aiti-11568	415	23	exploited	exploit	VERB
aiti-11568	415	24	,	,	PUNCT
aiti-11568	415	25	in	in	ADP
aiti-11568	415	26	particular	particular	ADJ
aiti-11568	415	27	,	,	PUNCT
aiti-11568	415	28	the	the	DET
aiti-11568	415	29	limitation	limitation	NOUN
aiti-11568	415	30	is	be	AUX
aiti-11568	415	31	in	in	ADP
aiti-11568	415	32	the	the	DET
aiti-11568	415	33	diversity	diversity	NOUN
aiti-11568	415	34	of	of	ADP
aiti-11568	415	35	tomato	tomato	NOUN
aiti-11568	415	36	leaves	leave	VERB
aiti-11568	415	37	diseases	disease	NOUN
aiti-11568	415	38	dataset	dataset	VERB
aiti-11568	415	39	because	because	SCONJ
aiti-11568	415	40	the	the	DET
aiti-11568	415	41	environment	environment	NOUN
aiti-11568	415	42	provided	provide	VERB
aiti-11568	415	43	is	be	AUX
aiti-11568	415	44	not	not	PART
aiti-11568	415	45	enough	enough	ADJ
aiti-11568	415	46	to	to	PART
aiti-11568	415	47	perform	perform	VERB
aiti-11568	415	48	training	training	NOUN
aiti-11568	415	49	on	on	ADP
aiti-11568	415	50	many	many	ADJ
aiti-11568	415	51	types	type	NOUN
aiti-11568	415	52	of	of	ADP
aiti-11568	415	53	tomato	tomato	NOUN
aiti-11568	415	54	.	.	PUNCT
aiti-11568	416	1	in	in	ADP
aiti-11568	416	2	the	the	DET
aiti-11568	416	3	future	future	NOUN
aiti-11568	416	4	,	,	PUNCT
aiti-11568	416	5	the	the	DET
aiti-11568	416	6	research	research	NOUN
aiti-11568	416	7	plan	plan	NOUN
aiti-11568	416	8	will	will	AUX
aiti-11568	416	9	continue	continue	VERB
aiti-11568	416	10	to	to	PART
aiti-11568	416	11	be	be	AUX
aiti-11568	416	12	carried	carry	VERB
aiti-11568	416	13	out	out	ADP
aiti-11568	416	14	.	.	PUNCT
aiti-11568	417	1	this	this	DET
aiti-11568	417	2	model	model	NOUN
aiti-11568	417	3	can	can	AUX
aiti-11568	417	4	be	be	AUX
aiti-11568	417	5	applied	apply	VERB
aiti-11568	417	6	in	in	ADP
aiti-11568	417	7	real	real	ADJ
aiti-11568	417	8	-	-	PUNCT
aiti-11568	417	9	time	time	NOUN
aiti-11568	417	10	and	and	CCONJ
aiti-11568	417	11	used	use	VERB
aiti-11568	417	12	on	on	ADP
aiti-11568	417	13	mobile	mobile	ADJ
aiti-11568	417	14	devices	device	NOUN
aiti-11568	417	15	.	.	PUNCT
aiti-11568	418	1	conflicts	conflict	NOUN
aiti-11568	418	2	of	of	ADP
aiti-11568	418	3	interest	interest	NOUN
aiti-11568	418	4	the	the	DET
aiti-11568	418	5	authors	author	NOUN
aiti-11568	418	6	declare	declare	VERB
aiti-11568	418	7	no	no	DET
aiti-11568	418	8	conflict	conflict	NOUN
aiti-11568	418	9	of	of	ADP
aiti-11568	418	10	interest	interest	NOUN
aiti-11568	418	11	.	.	PUNCT
aiti-11568	419	1	references	reference	NOUN
aiti-11568	419	2	[	[	X
aiti-11568	419	3	1	1	X
aiti-11568	419	4	]	]	PUNCT
aiti-11568	419	5	s.	s.	PROPN
aiti-11568	419	6	m.	m.	PROPN
aiti-11568	419	7	hassan	hassan	PROPN
aiti-11568	419	8	,	,	PUNCT
aiti-11568	419	9	a.	a.	PROPN
aiti-11568	419	10	k.	k.	PROPN
aiti-11568	419	11	maji	maji	PROPN
aiti-11568	419	12	,	,	PUNCT
aiti-11568	419	13	m.	m.	NOUN
aiti-11568	419	14	jasiński	jasiński	PROPN
aiti-11568	419	15	,	,	PUNCT
aiti-11568	419	16	z.	z.	PROPN
aiti-11568	419	17	leonowicz	leonowicz	PROPN
aiti-11568	419	18	,	,	PUNCT
aiti-11568	419	19	and	and	CCONJ
aiti-11568	419	20	e.	e.	PROPN
aiti-11568	419	21	jasińska	jasińska	PROPN
aiti-11568	419	22	,	,	PUNCT
aiti-11568	419	23	“	"	PUNCT
aiti-11568	419	24	identification	identification	NOUN
aiti-11568	419	25	of	of	ADP
aiti-11568	419	26	plant	plant	NOUN
aiti-11568	419	27	-	-	PUNCT
aiti-11568	419	28	leaf	leaf	NOUN
aiti-11568	419	29	diseases	disease	NOUN
aiti-11568	419	30	using	use	VERB
aiti-11568	419	31	cnn	cnn	PROPN
aiti-11568	419	32	and	and	CCONJ
aiti-11568	419	33	transfer	transfer	NOUN
aiti-11568	419	34	-	-	PUNCT
aiti-11568	419	35	learning	learn	VERB
aiti-11568	419	36	approach	approach	NOUN
aiti-11568	419	37	,	,	PUNCT
aiti-11568	419	38	”	"	PUNCT
aiti-11568	419	39	electronics	electronic	NOUN
aiti-11568	419	40	,	,	PUNCT
aiti-11568	419	41	vol	vol	NOUN
aiti-11568	419	42	.	.	PROPN
aiti-11568	420	1	10	10	NUM
aiti-11568	420	2	,	,	PUNCT
aiti-11568	420	3	no	no	INTJ
aiti-11568	420	4	.	.	NOUN
aiti-11568	420	5	12	12	NUM
aiti-11568	420	6	,	,	PUNCT
aiti-11568	420	7	article	article	NOUN
aiti-11568	420	8	no	no	NOUN
aiti-11568	420	9	.	.	PROPN
aiti-11568	420	10	1388	1388	NUM
aiti-11568	420	11	,	,	PUNCT
aiti-11568	420	12	june	june	PROPN
aiti-11568	420	13	2021	2021	NUM
aiti-11568	420	14	.	.	PUNCT
aiti-11568	421	1	[	[	X
aiti-11568	421	2	2	2	NUM
aiti-11568	421	3	]	]	PUNCT
aiti-11568	421	4	e.	e.	PROPN
aiti-11568	421	5	moriones	moriones	PROPN
aiti-11568	421	6	and	and	CCONJ
aiti-11568	421	7	j.	j.	PROPN
aiti-11568	421	8	navas	navas	PROPN
aiti-11568	421	9	-	-	PUNCT
aiti-11568	421	10	castillo	castillo	PROPN
aiti-11568	421	11	,	,	PUNCT
aiti-11568	421	12	“	"	PUNCT
aiti-11568	421	13	tomato	tomato	NOUN
aiti-11568	421	14	yellow	yellow	ADJ
aiti-11568	421	15	leaf	leaf	NOUN
aiti-11568	421	16	curl	curl	NOUN
aiti-11568	421	17	virus	virus	NOUN
aiti-11568	421	18	,	,	PUNCT
aiti-11568	421	19	an	an	DET
aiti-11568	421	20	emerging	emerge	VERB
aiti-11568	421	21	virus	virus	NOUN
aiti-11568	421	22	complex	complex	NOUN
aiti-11568	421	23	causing	cause	VERB
aiti-11568	421	24	epidemics	epidemic	NOUN
aiti-11568	421	25	worldwide	worldwide	ADV
aiti-11568	421	26	,	,	PUNCT
aiti-11568	421	27	”	"	PUNCT
aiti-11568	421	28	virus	virus	NOUN
aiti-11568	421	29	research	research	NOUN
aiti-11568	421	30	,	,	PUNCT
aiti-11568	421	31	vol	vol	NOUN
aiti-11568	421	32	.	.	PROPN
aiti-11568	421	33	71	71	NUM
aiti-11568	421	34	,	,	PUNCT
aiti-11568	421	35	no	no	INTJ
aiti-11568	421	36	.	.	NOUN
aiti-11568	421	37	1	1	NUM
aiti-11568	421	38	-	-	SYM
aiti-11568	421	39	2	2	NUM
aiti-11568	421	40	,	,	PUNCT
aiti-11568	421	41	pp	pp	ADJ
aiti-11568	421	42	.	.	PUNCT
aiti-11568	422	1	123	123	NUM
aiti-11568	422	2	-	-	SYM
aiti-11568	422	3	134	134	NUM
aiti-11568	422	4	,	,	PUNCT
aiti-11568	422	5	november	november	PROPN
aiti-11568	422	6	2000	2000	NUM
aiti-11568	422	7	.	.	PUNCT
aiti-11568	423	1	[	[	X
aiti-11568	423	2	3	3	X
aiti-11568	423	3	]	]	X
aiti-11568	423	4	r.	r.	PROPN
aiti-11568	423	5	bhagwat	bhagwat	PROPN
aiti-11568	423	6	and	and	CCONJ
aiti-11568	423	7	y.	y.	PROPN
aiti-11568	423	8	dandawate	dandawate	PROPN
aiti-11568	423	9	,	,	PUNCT
aiti-11568	423	10	“	"	PUNCT
aiti-11568	423	11	a	a	DET
aiti-11568	423	12	review	review	NOUN
aiti-11568	423	13	on	on	ADP
aiti-11568	423	14	advances	advance	NOUN
aiti-11568	423	15	in	in	ADP
aiti-11568	423	16	automated	automate	VERB
aiti-11568	423	17	plant	plant	NOUN
aiti-11568	423	18	disease	disease	NOUN
aiti-11568	423	19	detection	detection	NOUN
aiti-11568	423	20	,	,	PUNCT
aiti-11568	423	21	”	"	PUNCT
aiti-11568	423	22	international	international	ADJ
aiti-11568	423	23	journal	journal	NOUN
aiti-11568	423	24	of	of	ADP
aiti-11568	423	25	engineering	engineering	NOUN
aiti-11568	423	26	and	and	CCONJ
aiti-11568	423	27	technology	technology	NOUN
aiti-11568	423	28	innovation	innovation	NOUN
aiti-11568	423	29	,	,	PUNCT
aiti-11568	423	30	vol	vol	NOUN
aiti-11568	423	31	.	.	PROPN
aiti-11568	424	1	11	11	NUM
aiti-11568	424	2	,	,	PUNCT
aiti-11568	424	3	no	no	INTJ
aiti-11568	424	4	.	.	NOUN
aiti-11568	424	5	4	4	NUM
aiti-11568	424	6	,	,	PUNCT
aiti-11568	424	7	pp	pp	ADJ
aiti-11568	424	8	.	.	PUNCT
aiti-11568	425	1	251	251	NUM
aiti-11568	425	2	-	-	SYM
aiti-11568	425	3	264	264	NUM
aiti-11568	425	4	,	,	PUNCT
aiti-11568	425	5	september	september	PROPN
aiti-11568	425	6	2021	2021	NUM
aiti-11568	425	7	.	.	PUNCT
aiti-11568	426	1	[	[	X
aiti-11568	426	2	4	4	NUM
aiti-11568	426	3	]	]	PUNCT
aiti-11568	426	4	a.	a.	NOUN
aiti-11568	426	5	fazari	fazari	PROPN
aiti-11568	426	6	,	,	PUNCT
aiti-11568	426	7	o.	o.	PROPN
aiti-11568	426	8	j.	j.	PROPN
aiti-11568	426	9	pellicer	pellicer	PROPN
aiti-11568	426	10	-	-	PUNCT
aiti-11568	426	11	valero	valero	PROPN
aiti-11568	426	12	,	,	PUNCT
aiti-11568	426	13	j.	j.	PROPN
aiti-11568	426	14	gómez	gómez	PROPN
aiti-11568	426	15	-	-	PUNCT
aiti-11568	426	16	sanchıs	sanchıs	PROPN
aiti-11568	426	17	,	,	PUNCT
aiti-11568	426	18	b.	b.	PROPN
aiti-11568	426	19	bernardi	bernardi	PROPN
aiti-11568	426	20	,	,	PUNCT
aiti-11568	426	21	s.	s.	PROPN
aiti-11568	426	22	cubero	cubero	PROPN
aiti-11568	426	23	,	,	PUNCT
aiti-11568	426	24	s.	s.	PROPN
aiti-11568	426	25	benalia	benalia	PROPN
aiti-11568	426	26	,	,	PUNCT
aiti-11568	426	27	et	et	PROPN
aiti-11568	426	28	al	al	PROPN
aiti-11568	426	29	.	.	PROPN
aiti-11568	426	30	,	,	PUNCT
aiti-11568	426	31	“	"	PUNCT
aiti-11568	426	32	application	application	NOUN
aiti-11568	426	33	of	of	ADP
aiti-11568	426	34	deep	deep	ADJ
aiti-11568	426	35	convolutional	convolutional	ADJ
aiti-11568	426	36	neural	neural	ADJ
aiti-11568	426	37	networks	network	NOUN
aiti-11568	426	38	for	for	ADP
aiti-11568	426	39	the	the	DET
aiti-11568	426	40	detection	detection	NOUN
aiti-11568	426	41	of	of	ADP
aiti-11568	426	42	anthracnose	anthracnose	NOUN
aiti-11568	426	43	in	in	ADP
aiti-11568	426	44	olives	olive	NOUN
aiti-11568	426	45	using	use	VERB
aiti-11568	426	46	vis	vis	X
aiti-11568	426	47	/	/	SYM
aiti-11568	426	48	nir	nir	ADJ
aiti-11568	426	49	hyperspectral	hyperspectral	ADJ
aiti-11568	426	50	images	image	NOUN
aiti-11568	426	51	,	,	PUNCT
aiti-11568	426	52	”	"	PUNCT
aiti-11568	426	53	computers	computer	NOUN
aiti-11568	426	54	and	and	CCONJ
aiti-11568	426	55	electronics	electronic	NOUN
aiti-11568	426	56	in	in	ADP
aiti-11568	426	57	agriculture	agriculture	NOUN
aiti-11568	426	58	,	,	PUNCT
aiti-11568	426	59	vol	vol	NOUN
aiti-11568	426	60	.	.	PROPN
aiti-11568	426	61	187	187	NUM
aiti-11568	426	62	,	,	PUNCT
aiti-11568	426	63	article	article	NOUN
aiti-11568	426	64	no	no	NOUN
aiti-11568	426	65	.	.	PROPN
aiti-11568	426	66	106252	106252	NUM
aiti-11568	426	67	,	,	PUNCT
aiti-11568	426	68	august	august	PROPN
aiti-11568	426	69	2021	2021	NUM
aiti-11568	426	70	.	.	PUNCT
aiti-11568	427	1	[	[	X
aiti-11568	427	2	5	5	X
aiti-11568	427	3	]	]	PUNCT
aiti-11568	427	4	j.	j.	PROPN
aiti-11568	427	5	lu	lu	PROPN
aiti-11568	427	6	,	,	PUNCT
aiti-11568	427	7	l.	l.	PROPN
aiti-11568	427	8	tan	tan	PROPN
aiti-11568	427	9	,	,	PUNCT
aiti-11568	427	10	and	and	CCONJ
aiti-11568	427	11	h.	h.	PROPN
aiti-11568	427	12	jiang	jiang	PROPN
aiti-11568	427	13	,	,	PUNCT
aiti-11568	427	14	“	"	PUNCT
aiti-11568	427	15	review	review	NOUN
aiti-11568	427	16	on	on	ADP
aiti-11568	427	17	convolutional	convolutional	ADJ
aiti-11568	427	18	neural	neural	ADJ
aiti-11568	427	19	network	network	NOUN
aiti-11568	427	20	(	(	PUNCT
aiti-11568	427	21	cnn	cnn	PROPN
aiti-11568	427	22	)	)	PUNCT
aiti-11568	427	23	applied	apply	VERB
aiti-11568	427	24	to	to	PART
aiti-11568	427	25	plant	plant	NOUN
aiti-11568	427	26	leaf	leaf	NOUN
aiti-11568	427	27	disease	disease	NOUN
aiti-11568	427	28	classification	classification	NOUN
aiti-11568	427	29	,	,	PUNCT
aiti-11568	427	30	”	"	PUNCT
aiti-11568	427	31	agriculture	agriculture	NOUN
aiti-11568	427	32	,	,	PUNCT
aiti-11568	427	33	vol	vol	NOUN
aiti-11568	427	34	.	.	PROPN
aiti-11568	427	35	11	11	NUM
aiti-11568	427	36	,	,	PUNCT
aiti-11568	427	37	no	no	INTJ
aiti-11568	427	38	.	.	NOUN
aiti-11568	427	39	8	8	NUM
aiti-11568	427	40	,	,	PUNCT
aiti-11568	427	41	article	article	NOUN
aiti-11568	427	42	no	no	NOUN
aiti-11568	427	43	.	.	PROPN
aiti-11568	427	44	707	707	NUM
aiti-11568	427	45	,	,	PUNCT
aiti-11568	427	46	august	august	PROPN
aiti-11568	427	47	2021	2021	NUM
aiti-11568	427	48	.	.	PUNCT
aiti-11568	428	1	[	[	X
aiti-11568	428	2	6	6	NUM
aiti-11568	428	3	]	]	PUNCT
aiti-11568	428	4	m.	m.	NOUN
aiti-11568	428	5	brahimi	brahimi	PROPN
aiti-11568	428	6	,	,	PUNCT
aiti-11568	428	7	k.	k.	PROPN
aiti-11568	428	8	boukhalfa	boukhalfa	PROPN
aiti-11568	428	9	,	,	PUNCT
aiti-11568	428	10	and	and	CCONJ
aiti-11568	428	11	a.	a.	NOUN
aiti-11568	428	12	moussaoui	moussaoui	NOUN
aiti-11568	428	13	,	,	PUNCT
aiti-11568	428	14	“	"	PUNCT
aiti-11568	428	15	deep	deep	ADJ
aiti-11568	428	16	learning	learning	NOUN
aiti-11568	428	17	for	for	ADP
aiti-11568	428	18	tomato	tomato	NOUN
aiti-11568	428	19	diseases	disease	NOUN
aiti-11568	428	20	:	:	PUNCT
aiti-11568	428	21	classification	classification	NOUN
aiti-11568	428	22	and	and	CCONJ
aiti-11568	428	23	symptoms	symptom	NOUN
aiti-11568	428	24	visualization	visualization	NOUN
aiti-11568	428	25	,	,	PUNCT
aiti-11568	428	26	”	"	PUNCT
aiti-11568	428	27	applied	apply	VERB
aiti-11568	428	28	artificial	artificial	ADJ
aiti-11568	428	29	intelligence	intelligence	NOUN
aiti-11568	428	30	,	,	PUNCT
aiti-11568	428	31	vol	vol	NOUN
aiti-11568	428	32	.	.	PROPN
aiti-11568	429	1	31	31	NUM
aiti-11568	429	2	,	,	PUNCT
aiti-11568	429	3	no	no	INTJ
aiti-11568	429	4	.	.	NOUN
aiti-11568	429	5	4	4	NUM
aiti-11568	429	6	,	,	PUNCT
aiti-11568	429	7	pp	pp	ADJ
aiti-11568	429	8	.	.	PUNCT
aiti-11568	430	1	299	299	NUM
aiti-11568	430	2	-	-	SYM
aiti-11568	430	3	315	315	NUM
aiti-11568	430	4	,	,	PUNCT
aiti-11568	430	5	2017	2017	NUM
aiti-11568	430	6	.	.	PUNCT
aiti-11568	431	1	[	[	X
aiti-11568	431	2	7	7	X
aiti-11568	431	3	]	]	X
aiti-11568	431	4	m.	m.	NOUN
aiti-11568	431	5	alruwaili	alruwaili	NOUN
aiti-11568	431	6	,	,	PUNCT
aiti-11568	431	7	m.	m.	NOUN
aiti-11568	431	8	h.	h.	PROPN
aiti-11568	431	9	siddiqi	siddiqi	PROPN
aiti-11568	431	10	,	,	PUNCT
aiti-11568	431	11	a.	a.	PROPN
aiti-11568	431	12	khan	khan	PROPN
aiti-11568	431	13	,	,	PUNCT
aiti-11568	431	14	m.	m.	PROPN
aiti-11568	431	15	azad	azad	PROPN
aiti-11568	431	16	,	,	PUNCT
aiti-11568	431	17	a.	a.	PROPN
aiti-11568	431	18	khan	khan	PROPN
aiti-11568	431	19	,	,	PUNCT
aiti-11568	431	20	and	and	CCONJ
aiti-11568	431	21	s.	s.	PROPN
aiti-11568	431	22	alanazi	alanazi	PROPN
aiti-11568	431	23	,	,	PUNCT
aiti-11568	431	24	“	"	PUNCT
aiti-11568	431	25	rtf	rtf	NOUN
aiti-11568	431	26	-	-	PUNCT
aiti-11568	431	27	rcnn	rcnn	PROPN
aiti-11568	431	28	:	:	PUNCT
aiti-11568	431	29	an	an	DET
aiti-11568	431	30	architecture	architecture	NOUN
aiti-11568	431	31	for	for	ADP
aiti-11568	431	32	real	real	ADJ
aiti-11568	431	33	-	-	PUNCT
aiti-11568	431	34	time	time	NOUN
aiti-11568	431	35	tomato	tomato	NOUN
aiti-11568	431	36	plant	plant	NOUN
aiti-11568	431	37	leaf	leaf	NOUN
aiti-11568	431	38	diseases	disease	NOUN
aiti-11568	431	39	detection	detection	NOUN
aiti-11568	431	40	in	in	ADP
aiti-11568	431	41	video	video	NOUN
aiti-11568	431	42	streaming	streaming	NOUN
aiti-11568	431	43	using	use	VERB
aiti-11568	431	44	faster	fast	ADJ
aiti-11568	431	45	-	-	PUNCT
aiti-11568	431	46	rcnn	rcnn	NOUN
aiti-11568	431	47	,	,	PUNCT
aiti-11568	431	48	”	"	PUNCT
aiti-11568	431	49	bioengineering	bioengineering	NOUN
aiti-11568	431	50	,	,	PUNCT
aiti-11568	431	51	vol	vol	NOUN
aiti-11568	431	52	.	.	PROPN
aiti-11568	431	53	9	9	NUM
aiti-11568	431	54	,	,	PUNCT
aiti-11568	431	55	no	no	INTJ
aiti-11568	431	56	.	.	NOUN
aiti-11568	431	57	10	10	NUM
aiti-11568	431	58	,	,	PUNCT
aiti-11568	431	59	article	article	NOUN
aiti-11568	431	60	no	no	NOUN
aiti-11568	431	61	.	.	PROPN
aiti-11568	431	62	565	565	NUM
aiti-11568	431	63	,	,	PUNCT
aiti-11568	431	64	october	october	PROPN
aiti-11568	431	65	2022	2022	NUM
aiti-11568	431	66	.	.	PUNCT
aiti-11568	432	1	[	[	X
aiti-11568	432	2	8	8	X
aiti-11568	432	3	]	]	X
aiti-11568	432	4	h.	h.	PROPN
aiti-11568	432	5	durmuş	durmuş	PROPN
aiti-11568	432	6	,	,	PUNCT
aiti-11568	432	7	e.	e.	PROPN
aiti-11568	432	8	o.	o.	PROPN
aiti-11568	432	9	gunes	gune	NOUN
aiti-11568	432	10	,	,	PUNCT
aiti-11568	432	11	and	and	CCONJ
aiti-11568	432	12	m.	m.	PROPN
aiti-11568	432	13	kırcı	kırcı	PROPN
aiti-11568	432	14	,	,	PUNCT
aiti-11568	432	15	“	"	PUNCT
aiti-11568	432	16	disease	disease	NOUN
aiti-11568	432	17	detection	detection	NOUN
aiti-11568	432	18	on	on	ADP
aiti-11568	432	19	the	the	DET
aiti-11568	432	20	leaves	leave	NOUN
aiti-11568	432	21	of	of	ADP
aiti-11568	432	22	the	the	DET
aiti-11568	432	23	tomato	tomato	NOUN
aiti-11568	432	24	plants	plant	NOUN
aiti-11568	432	25	by	by	ADP
aiti-11568	432	26	using	use	VERB
aiti-11568	432	27	deep	deep	ADJ
aiti-11568	432	28	learning	learning	NOUN
aiti-11568	432	29	,	,	PUNCT
aiti-11568	432	30	”	"	PUNCT
aiti-11568	432	31	6th	6th	ADJ
aiti-11568	432	32	international	international	ADJ
aiti-11568	432	33	conference	conference	NOUN
aiti-11568	432	34	on	on	ADP
aiti-11568	432	35	agro	agro	ADJ
aiti-11568	432	36	-	-	PUNCT
aiti-11568	432	37	geoinformatics	geoinformatic	NOUN
aiti-11568	432	38	,	,	PUNCT
aiti-11568	432	39	pp	pp	ADJ
aiti-11568	432	40	.	.	PUNCT
aiti-11568	433	1	1	1	NUM
aiti-11568	433	2	-	-	SYM
aiti-11568	433	3	5	5	NUM
aiti-11568	433	4	,	,	PUNCT
aiti-11568	433	5	august	august	PROPN
aiti-11568	433	6	2017	2017	NUM
aiti-11568	433	7	.	.	PUNCT
aiti-11568	434	1	[	[	X
aiti-11568	434	2	9	9	NUM
aiti-11568	434	3	]	]	PUNCT
aiti-11568	434	4	a.	a.	NOUN
aiti-11568	434	5	saeed	saeed	PROPN
aiti-11568	434	6	,	,	PUNCT
aiti-11568	434	7	a.	a.	PROPN
aiti-11568	434	8	a.	a.	PROPN
aiti-11568	434	9	abdel	abdel	PROPN
aiti-11568	434	10	-	-	PUNCT
aiti-11568	434	11	aziz	aziz	PROPN
aiti-11568	434	12	,	,	PUNCT
aiti-11568	434	13	a.	a.	PROPN
aiti-11568	434	14	mossad	mossad	PROPN
aiti-11568	434	15	,	,	PUNCT
aiti-11568	434	16	m.	m.	NOUN
aiti-11568	434	17	a.	a.	PROPN
aiti-11568	434	18	abdelhamid	abdelhamid	PROPN
aiti-11568	434	19	,	,	PUNCT
aiti-11568	434	20	a.	a.	PROPN
aiti-11568	434	21	y.	y.	PROPN
aiti-11568	434	22	alkhaled	alkhale	VERB
aiti-11568	434	23	,	,	PUNCT
aiti-11568	434	24	and	and	CCONJ
aiti-11568	434	25	m.	m.	NOUN
aiti-11568	434	26	mayhoub	mayhoub	PROPN
aiti-11568	434	27	,	,	PUNCT
aiti-11568	434	28	“	"	PUNCT
aiti-11568	434	29	smart	smart	ADJ
aiti-11568	434	30	detection	detection	NOUN
aiti-11568	434	31	of	of	ADP
aiti-11568	434	32	tomato	tomato	NOUN
aiti-11568	434	33	leaf	leaf	NOUN
aiti-11568	434	34	diseases	disease	NOUN
aiti-11568	434	35	using	use	VERB
aiti-11568	434	36	transfer	transfer	NOUN
aiti-11568	434	37	learning	learning	NOUN
aiti-11568	434	38	-	-	PUNCT
aiti-11568	434	39	based	base	VERB
aiti-11568	434	40	convolutional	convolutional	ADJ
aiti-11568	434	41	neural	neural	ADJ
aiti-11568	434	42	networks	network	NOUN
aiti-11568	434	43	,	,	PUNCT
aiti-11568	434	44	”	"	PUNCT
aiti-11568	434	45	agriculture	agriculture	NOUN
aiti-11568	434	46	,	,	PUNCT
aiti-11568	434	47	vol	vol	NOUN
aiti-11568	434	48	.	.	PROPN
aiti-11568	434	49	13	13	NUM
aiti-11568	434	50	,	,	PUNCT
aiti-11568	434	51	no	no	INTJ
aiti-11568	434	52	.	.	NOUN
aiti-11568	434	53	1	1	NUM
aiti-11568	434	54	,	,	PUNCT
aiti-11568	434	55	article	article	NOUN
aiti-11568	434	56	no	no	NOUN
aiti-11568	434	57	.	.	PROPN
aiti-11568	434	58	139	139	NUM
aiti-11568	434	59	,	,	PUNCT
aiti-11568	434	60	january	january	PROPN
aiti-11568	434	61	2023	2023	NUM
aiti-11568	434	62	.	.	PUNCT
aiti-11568	435	1	[	[	X
aiti-11568	435	2	10	10	NUM
aiti-11568	435	3	]	]	X
aiti-11568	435	4	s.	s.	PROPN
aiti-11568	435	5	adhikari	adhikari	PROPN
aiti-11568	435	6	,	,	PUNCT
aiti-11568	435	7	b.	b.	PROPN
aiti-11568	435	8	shrestha	shrestha	PROPN
aiti-11568	435	9	,	,	PUNCT
aiti-11568	435	10	b.	b.	PROPN
aiti-11568	435	11	baiju	baiju	PROPN
aiti-11568	435	12	,	,	PUNCT
aiti-11568	435	13	and	and	CCONJ
aiti-11568	435	14	s.	s.	PROPN
aiti-11568	435	15	k.	k.	PROPN
aiti-11568	435	16	kc	kc	PROPN
aiti-11568	435	17	,	,	PUNCT
aiti-11568	435	18	“	"	PUNCT
aiti-11568	435	19	tomato	tomato	NOUN
aiti-11568	435	20	plant	plant	NOUN
aiti-11568	435	21	diseases	disease	NOUN
aiti-11568	435	22	detection	detection	NOUN
aiti-11568	435	23	system	system	NOUN
aiti-11568	435	24	using	use	VERB
aiti-11568	435	25	image	image	NOUN
aiti-11568	435	26	processing	processing	NOUN
aiti-11568	435	27	,	,	PUNCT
aiti-11568	435	28	”	"	PUNCT
aiti-11568	435	29	1st	1st	PROPN
aiti-11568	435	30	kec	kec	PROPN
aiti-11568	435	31	conference	conference	NOUN
aiti-11568	435	32	proceedings	proceeding	NOUN
aiti-11568	435	33	,	,	PUNCT
aiti-11568	435	34	vol	vol	NOUN
aiti-11568	435	35	.	.	PROPN
aiti-11568	435	36	1	1	NUM
aiti-11568	435	37	,	,	PUNCT
aiti-11568	435	38	pp	pp	ADJ
aiti-11568	435	39	.	.	PUNCT
aiti-11568	435	40	81	81	NUM
aiti-11568	435	41	-	-	SYM
aiti-11568	435	42	86	86	NUM
aiti-11568	435	43	,	,	PUNCT
aiti-11568	435	44	september	september	PROPN
aiti-11568	435	45	2018	2018	NUM
aiti-11568	435	46	.	.	PUNCT
aiti-11568	436	1	[	[	X
aiti-11568	436	2	11	11	NUM
aiti-11568	436	3	]	]	PUNCT
aiti-11568	436	4	s.	s.	PROPN
aiti-11568	436	5	zhang	zhang	PROPN
aiti-11568	436	6	,	,	PUNCT
aiti-11568	436	7	h.	h.	PROPN
aiti-11568	436	8	zhou	zhou	PROPN
aiti-11568	436	9	,	,	PUNCT
aiti-11568	436	10	and	and	CCONJ
aiti-11568	436	11	l.	l.	PROPN
aiti-11568	436	12	zhang	zhang	PROPN
aiti-11568	436	13	,	,	PUNCT
aiti-11568	436	14	“	"	PUNCT
aiti-11568	436	15	recent	recent	ADJ
aiti-11568	436	16	machine	machine	NOUN
aiti-11568	436	17	learning	learn	VERB
aiti-11568	436	18	progress	progress	NOUN
aiti-11568	436	19	in	in	ADP
aiti-11568	436	20	image	image	NOUN
aiti-11568	436	21	analysis	analysis	NOUN
aiti-11568	436	22	and	and	CCONJ
aiti-11568	436	23	understanding	understanding	NOUN
aiti-11568	436	24	,	,	PUNCT
aiti-11568	436	25	”	"	PUNCT
aiti-11568	436	26	advances	advance	NOUN
aiti-11568	436	27	in	in	ADP
aiti-11568	436	28	multimedia	multimedia	NOUN
aiti-11568	436	29	,	,	PUNCT
aiti-11568	436	30	vol	vol	NOUN
aiti-11568	436	31	.	.	NOUN
aiti-11568	436	32	2018	2018	NUM
aiti-11568	436	33	,	,	PUNCT
aiti-11568	436	34	article	article	NOUN
aiti-11568	436	35	no	no	NOUN
aiti-11568	436	36	.	.	PUNCT
aiti-11568	436	37	1685890	1685890	NUM
aiti-11568	436	38	,	,	PUNCT
aiti-11568	436	39	2018	2018	NUM
aiti-11568	436	40	.	.	PUNCT
aiti-11568	437	1	[	[	X
aiti-11568	437	2	12	12	NUM
aiti-11568	437	3	]	]	PUNCT
aiti-11568	437	4	s.	s.	PROPN
aiti-11568	437	5	ishak	ishak	PROPN
aiti-11568	437	6	,	,	PUNCT
aiti-11568	437	7	m.	m.	PROPN
aiti-11568	437	8	h.	h.	PROPN
aiti-11568	437	9	f.	f.	PROPN
aiti-11568	437	10	rahiman	rahiman	PROPN
aiti-11568	437	11	,	,	PUNCT
aiti-11568	437	12	s.	s.	PROPN
aiti-11568	437	13	n.	n.	PROPN
aiti-11568	437	14	a.	a.	PROPN
aiti-11568	437	15	m.	m.	PROPN
aiti-11568	437	16	kanafiah	kanafiah	PROPN
aiti-11568	437	17	,	,	PUNCT
aiti-11568	437	18	and	and	CCONJ
aiti-11568	437	19	h.	h.	PROPN
aiti-11568	437	20	saad	saad	PROPN
aiti-11568	437	21	,	,	PUNCT
aiti-11568	437	22	“	"	PUNCT
aiti-11568	437	23	leaf	leaf	NOUN
aiti-11568	437	24	disease	disease	NOUN
aiti-11568	437	25	classification	classification	NOUN
aiti-11568	437	26	using	use	VERB
aiti-11568	437	27	artificial	artificial	ADJ
aiti-11568	437	28	neural	neural	ADJ
aiti-11568	437	29	network	network	NOUN
aiti-11568	437	30	,	,	PUNCT
aiti-11568	437	31	”	"	PUNCT
aiti-11568	437	32	jurnal	jurnal	PROPN
aiti-11568	437	33	teknologi	teknologi	PROPN
aiti-11568	437	34	,	,	PUNCT
aiti-11568	437	35	vol	vol	NOUN
aiti-11568	437	36	.	.	PROPN
aiti-11568	437	37	77	77	NUM
aiti-11568	437	38	,	,	PUNCT
aiti-11568	437	39	no	no	INTJ
aiti-11568	437	40	.	.	NOUN
aiti-11568	437	41	17	17	NUM
aiti-11568	437	42	,	,	PUNCT
aiti-11568	437	43	pp	pp	ADJ
aiti-11568	437	44	.	.	PUNCT
aiti-11568	438	1	109	109	NUM
aiti-11568	438	2	-	-	SYM
aiti-11568	438	3	114	114	NUM
aiti-11568	438	4	,	,	PUNCT
aiti-11568	438	5	december	december	PROPN
aiti-11568	438	6	2015	2015	NUM
aiti-11568	438	7	.	.	PUNCT
aiti-11568	439	1	[	[	X
aiti-11568	439	2	13	13	NUM
aiti-11568	439	3	]	]	X
aiti-11568	439	4	y.	y.	PROPN
aiti-11568	439	5	wu	wu	PROPN
aiti-11568	439	6	,	,	PUNCT
aiti-11568	439	7	l.	l.	PROPN
aiti-11568	439	8	xu	xu	PROPN
aiti-11568	439	9	,	,	PUNCT
aiti-11568	439	10	and	and	CCONJ
aiti-11568	439	11	e.	e.	PROPN
aiti-11568	439	12	d.	d.	PROPN
aiti-11568	439	13	goodman	goodman	PROPN
aiti-11568	439	14	,	,	PUNCT
aiti-11568	439	15	“	"	PUNCT
aiti-11568	439	16	tomato	tomato	NOUN
aiti-11568	439	17	leaf	leaf	NOUN
aiti-11568	439	18	disease	disease	NOUN
aiti-11568	439	19	identification	identification	NOUN
aiti-11568	439	20	and	and	CCONJ
aiti-11568	439	21	detection	detection	NOUN
aiti-11568	439	22	based	base	VERB
aiti-11568	439	23	on	on	ADP
aiti-11568	439	24	deep	deep	ADJ
aiti-11568	439	25	convolutional	convolutional	ADJ
aiti-11568	439	26	neural	neural	ADJ
aiti-11568	439	27	network	network	NOUN
aiti-11568	439	28	,	,	PUNCT
aiti-11568	439	29	”	"	PUNCT
aiti-11568	439	30	intelligent	intelligent	ADJ
aiti-11568	439	31	automation	automation	NOUN
aiti-11568	439	32	&	&	CCONJ
aiti-11568	439	33	soft	soft	ADJ
aiti-11568	439	34	computing	computing	NOUN
aiti-11568	439	35	,	,	PUNCT
aiti-11568	439	36	vol	vol	NOUN
aiti-11568	439	37	.	.	PROPN
aiti-11568	439	38	28	28	NUM
aiti-11568	439	39	,	,	PUNCT
aiti-11568	439	40	no	no	INTJ
aiti-11568	439	41	.	.	NOUN
aiti-11568	439	42	2	2	NUM
aiti-11568	439	43	,	,	PUNCT
aiti-11568	439	44	pp	pp	ADJ
aiti-11568	439	45	.	.	PUNCT
aiti-11568	440	1	561	561	NUM
aiti-11568	440	2	-	-	SYM
aiti-11568	440	3	576	576	NUM
aiti-11568	440	4	,	,	PUNCT
aiti-11568	440	5	2021	2021	NUM
aiti-11568	440	6	.	.	PUNCT
aiti-11568	441	1	[	[	X
aiti-11568	441	2	14	14	NUM
aiti-11568	441	3	]	]	X
aiti-11568	441	4	p.	p.	NOUN
aiti-11568	441	5	tm	tm	PROPN
aiti-11568	441	6	,	,	PUNCT
aiti-11568	441	7	a.	a.	NOUN
aiti-11568	441	8	pranathi	pranathi	PROPN
aiti-11568	441	9	,	,	PUNCT
aiti-11568	441	10	k.	k.	PROPN
aiti-11568	441	11	saiashritha	saiashritha	PROPN
aiti-11568	441	12	,	,	PUNCT
aiti-11568	441	13	n.	n.	PROPN
aiti-11568	441	14	b.	b.	PROPN
aiti-11568	441	15	chittaragi	chittaragi	PROPN
aiti-11568	441	16	,	,	PUNCT
aiti-11568	441	17	and	and	CCONJ
aiti-11568	441	18	s.	s.	PROPN
aiti-11568	441	19	g.	g.	PROPN
aiti-11568	441	20	koolagudi	koolagudi	PROPN
aiti-11568	441	21	,	,	PUNCT
aiti-11568	441	22	“	"	PUNCT
aiti-11568	441	23	tomato	tomato	NOUN
aiti-11568	441	24	leaf	leaf	NOUN
aiti-11568	441	25	disease	disease	NOUN
aiti-11568	441	26	detection	detection	NOUN
aiti-11568	441	27	using	use	VERB
aiti-11568	441	28	convolutional	convolutional	ADJ
aiti-11568	441	29	neural	neural	ADJ
aiti-11568	441	30	networks	network	NOUN
aiti-11568	441	31	,	,	PUNCT
aiti-11568	441	32	”	"	PUNCT
aiti-11568	441	33	eleventh	eleventh	ADJ
aiti-11568	441	34	international	international	ADJ
aiti-11568	441	35	conference	conference	NOUN
aiti-11568	441	36	on	on	ADP
aiti-11568	441	37	contemporary	contemporary	ADJ
aiti-11568	441	38	computing	computing	PROPN
aiti-11568	441	39	(	(	PUNCT
aiti-11568	441	40	ic3	ic3	PROPN
aiti-11568	441	41	)	)	PUNCT
aiti-11568	441	42	,	,	PUNCT
aiti-11568	441	43	pp	pp	PROPN
aiti-11568	441	44	.	.	PUNCT
aiti-11568	442	1	1	1	NUM
aiti-11568	442	2	-	-	SYM
aiti-11568	442	3	5	5	NUM
aiti-11568	442	4	,	,	PUNCT
aiti-11568	442	5	august	august	PROPN
aiti-11568	442	6	2018	2018	NUM
aiti-11568	442	7	.	.	PUNCT
aiti-11568	443	1	[	[	X
aiti-11568	443	2	15	15	NUM
aiti-11568	443	3	]	]	X
aiti-11568	443	4	n.	n.	PROPN
aiti-11568	443	5	k.	k.	PROPN
aiti-11568	443	6	trivedi	trivedi	PROPN
aiti-11568	443	7	,	,	PUNCT
aiti-11568	443	8	v.	v.	PROPN
aiti-11568	443	9	gautam	gautam	PROPN
aiti-11568	443	10	,	,	PUNCT
aiti-11568	443	11	a.	a.	PROPN
aiti-11568	443	12	anand	anand	PROPN
aiti-11568	443	13	,	,	PUNCT
aiti-11568	443	14	h.	h.	PROPN
aiti-11568	443	15	m.	m.	PROPN
aiti-11568	443	16	aljahdali	aljahdali	PROPN
aiti-11568	443	17	,	,	PUNCT
aiti-11568	443	18	s.	s.	PROPN
aiti-11568	443	19	g.	g.	PROPN
aiti-11568	443	20	villar	villar	PROPN
aiti-11568	443	21	,	,	PUNCT
aiti-11568	443	22	d.	d.	PROPN
aiti-11568	443	23	anand	anand	PROPN
aiti-11568	443	24	,	,	PUNCT
aiti-11568	443	25	et	et	PROPN
aiti-11568	443	26	al	al	PROPN
aiti-11568	443	27	.	.	PROPN
aiti-11568	443	28	,	,	PUNCT
aiti-11568	443	29	“	"	PUNCT
aiti-11568	443	30	early	early	ADJ
aiti-11568	443	31	detection	detection	NOUN
aiti-11568	443	32	and	and	CCONJ
aiti-11568	443	33	classification	classification	NOUN
aiti-11568	443	34	of	of	ADP
aiti-11568	443	35	tomato	tomato	NOUN
aiti-11568	443	36	leaf	leaf	NOUN
aiti-11568	443	37	disease	disease	NOUN
aiti-11568	443	38	using	use	VERB
aiti-11568	443	39	high	high	ADJ
aiti-11568	443	40	-	-	PUNCT
aiti-11568	443	41	performance	performance	NOUN
aiti-11568	443	42	deep	deep	ADJ
aiti-11568	443	43	neural	neural	ADJ
aiti-11568	443	44	network	network	NOUN
aiti-11568	443	45	,	,	PUNCT
aiti-11568	443	46	”	"	PUNCT
aiti-11568	443	47	sensors	sensor	NOUN
aiti-11568	443	48	,	,	PUNCT
aiti-11568	443	49	vol	vol	NOUN
aiti-11568	443	50	.	.	PROPN
aiti-11568	443	51	21	21	NUM
aiti-11568	443	52	,	,	PUNCT
aiti-11568	443	53	no	no	INTJ
aiti-11568	443	54	.	.	NOUN
aiti-11568	443	55	23	23	NUM
aiti-11568	443	56	,	,	PUNCT
aiti-11568	443	57	article	article	NOUN
aiti-11568	443	58	no	no	NOUN
aiti-11568	443	59	.	.	PUNCT
aiti-11568	443	60	7987	7987	NUM
aiti-11568	443	61	,	,	PUNCT
aiti-11568	443	62	december	december	PROPN
aiti-11568	443	63	2021	2021	NUM
aiti-11568	443	64	.	.	PUNCT
aiti-11568	444	1	[	[	X
aiti-11568	444	2	16	16	NUM
aiti-11568	444	3	]	]	X
aiti-11568	444	4	g.	g.	PROPN
aiti-11568	444	5	suryanarayana	suryanarayana	PROPN
aiti-11568	444	6	,	,	PUNCT
aiti-11568	444	7	k.	k.	PROPN
aiti-11568	444	8	chandran	chandran	PROPN
aiti-11568	444	9	,	,	PUNCT
aiti-11568	444	10	o.	o.	PROPN
aiti-11568	444	11	i.	i.	PROPN
aiti-11568	444	12	khalaf	khalaf	PROPN
aiti-11568	444	13	,	,	PUNCT
aiti-11568	444	14	y.	y.	PROPN
aiti-11568	444	15	alotaibi	alotaibi	PROPN
aiti-11568	444	16	,	,	PUNCT
aiti-11568	444	17	a.	a.	NOUN
aiti-11568	444	18	alsufyani	alsufyani	PROPN
aiti-11568	444	19	,	,	PUNCT
aiti-11568	444	20	and	and	CCONJ
aiti-11568	444	21	s.	s.	PROPN
aiti-11568	444	22	a.	a.	PROPN
aiti-11568	444	23	alghamdi	alghamdi	PROPN
aiti-11568	444	24	,	,	PUNCT
aiti-11568	444	25	“	"	PUNCT
aiti-11568	444	26	accurate	accurate	ADJ
aiti-11568	444	27	magnetic	magnetic	ADJ
aiti-11568	444	28	resonance	resonance	NOUN
aiti-11568	444	29	image	image	NOUN
aiti-11568	444	30	super	super	NOUN
aiti-11568	444	31	-	-	NOUN
aiti-11568	444	32	resolution	resolution	NOUN
aiti-11568	444	33	using	use	VERB
aiti-11568	444	34	deep	deep	ADJ
aiti-11568	444	35	networks	network	NOUN
aiti-11568	444	36	and	and	CCONJ
aiti-11568	444	37	gaussian	gaussian	ADJ
aiti-11568	444	38	filtering	filtering	NOUN
aiti-11568	444	39	in	in	ADP
aiti-11568	444	40	the	the	DET
aiti-11568	444	41	stationary	stationary	ADJ
aiti-11568	444	42	wavelet	wavelet	NOUN
aiti-11568	444	43	domain	domain	NOUN
aiti-11568	444	44	,	,	PUNCT
aiti-11568	444	45	”	"	PUNCT
aiti-11568	444	46	ieee	ieee	NOUN
aiti-11568	444	47	access	access	NOUN
aiti-11568	444	48	,	,	PUNCT
aiti-11568	444	49	vol	vol	NOUN
aiti-11568	444	50	.	.	NOUN
aiti-11568	444	51	9	9	NUM
aiti-11568	444	52	,	,	PUNCT
aiti-11568	444	53	pp	pp	ADJ
aiti-11568	444	54	.	.	PUNCT
aiti-11568	445	1	71406	71406	NUM
aiti-11568	445	2	-	-	SYM
aiti-11568	445	3	71417	71417	NUM
aiti-11568	445	4	,	,	PUNCT
aiti-11568	445	5	2021	2021	NUM
aiti-11568	445	6	.	.	PUNCT
aiti-11568	446	1	advances	advance	NOUN
aiti-11568	446	2	in	in	ADP
aiti-11568	446	3	technology	technology	NOUN
aiti-11568	446	4	innovation	innovation	NOUN
aiti-11568	446	5	,	,	PUNCT
aiti-11568	446	6	vol	vol	NOUN
aiti-11568	446	7	.	.	PROPN
aiti-11568	446	8	8	8	NUM
aiti-11568	446	9	,	,	PUNCT
aiti-11568	446	10	no	no	INTJ
aiti-11568	446	11	.	.	NOUN
aiti-11568	446	12	3	3	NUM
aiti-11568	446	13	,	,	PUNCT
aiti-11568	446	14	2023	2023	NUM
aiti-11568	446	15	,	,	PUNCT
aiti-11568	446	16	pp	pp	ADJ
aiti-11568	446	17	.	.	PUNCT
aiti-11568	447	1	192	192	NUM
aiti-11568	447	2	-	-	SYM
aiti-11568	447	3	209	209	NUM
aiti-11568	447	4	209	209	NUM
aiti-11568	448	1	[	[	X
aiti-11568	448	2	17	17	NUM
aiti-11568	448	3	]	]	X
aiti-11568	448	4	r.	r.	PROPN
aiti-11568	448	5	bhagwat	bhagwat	PROPN
aiti-11568	448	6	and	and	CCONJ
aiti-11568	448	7	y.	y.	PROPN
aiti-11568	448	8	dandawate	dandawate	PROPN
aiti-11568	448	9	,	,	PUNCT
aiti-11568	448	10	“	"	PUNCT
aiti-11568	448	11	a	a	DET
aiti-11568	448	12	framework	framework	NOUN
aiti-11568	448	13	for	for	ADP
aiti-11568	448	14	crop	crop	NOUN
aiti-11568	448	15	disease	disease	NOUN
aiti-11568	448	16	detection	detection	NOUN
aiti-11568	448	17	using	use	VERB
aiti-11568	448	18	feature	feature	NOUN
aiti-11568	448	19	fusion	fusion	NOUN
aiti-11568	448	20	method	method	NOUN
aiti-11568	448	21	,	,	PUNCT
aiti-11568	448	22	”	"	PUNCT
aiti-11568	448	23	international	international	ADJ
aiti-11568	448	24	journal	journal	NOUN
aiti-11568	448	25	of	of	ADP
aiti-11568	448	26	engineering	engineering	NOUN
aiti-11568	448	27	and	and	CCONJ
aiti-11568	448	28	technology	technology	NOUN
aiti-11568	448	29	innovation	innovation	NOUN
aiti-11568	448	30	,	,	PUNCT
aiti-11568	448	31	vol	vol	NOUN
aiti-11568	448	32	.	.	PROPN
aiti-11568	448	33	11	11	NUM
aiti-11568	448	34	,	,	PUNCT
aiti-11568	448	35	no	no	INTJ
aiti-11568	448	36	.	.	NOUN
aiti-11568	448	37	3	3	NUM
aiti-11568	448	38	,	,	PUNCT
aiti-11568	448	39	pp	pp	ADJ
aiti-11568	448	40	.	.	PUNCT
aiti-11568	449	1	216	216	NUM
aiti-11568	449	2	-	-	SYM
aiti-11568	449	3	228	228	NUM
aiti-11568	449	4	,	,	PUNCT
aiti-11568	449	5	june	june	PROPN
aiti-11568	449	6	2021	2021	NUM
aiti-11568	449	7	.	.	PUNCT
aiti-11568	450	1	[	[	X
aiti-11568	450	2	18	18	NUM
aiti-11568	450	3	]	]	X
aiti-11568	450	4	s.	s.	PROPN
aiti-11568	450	5	coulibaly	coulibaly	PROPN
aiti-11568	450	6	,	,	PUNCT
aiti-11568	450	7	b.	b.	PROPN
aiti-11568	450	8	kamsu	kamsu	PROPN
aiti-11568	450	9	-	-	PUNCT
aiti-11568	450	10	foguem	foguem	NOUN
aiti-11568	450	11	,	,	PUNCT
aiti-11568	450	12	d.	d.	PROPN
aiti-11568	450	13	kamissoko	kamissoko	PROPN
aiti-11568	450	14	,	,	PUNCT
aiti-11568	450	15	and	and	CCONJ
aiti-11568	450	16	d.	d.	PROPN
aiti-11568	450	17	traore	traore	PROPN
aiti-11568	450	18	,	,	PUNCT
aiti-11568	450	19	“	"	PUNCT
aiti-11568	450	20	deep	deep	ADJ
aiti-11568	450	21	neural	neural	ADJ
aiti-11568	450	22	networks	network	NOUN
aiti-11568	450	23	with	with	ADP
aiti-11568	450	24	transfer	transfer	NOUN
aiti-11568	450	25	learning	learning	NOUN
aiti-11568	450	26	in	in	ADP
aiti-11568	450	27	millet	millet	NOUN
aiti-11568	450	28	crop	crop	NOUN
aiti-11568	450	29	images	image	NOUN
aiti-11568	450	30	,	,	PUNCT
aiti-11568	450	31	”	"	PUNCT
aiti-11568	450	32	computers	computer	NOUN
aiti-11568	450	33	in	in	ADP
aiti-11568	450	34	industry	industry	NOUN
aiti-11568	450	35	,	,	PUNCT
aiti-11568	450	36	vol	vol	NOUN
aiti-11568	450	37	.	.	PROPN
aiti-11568	450	38	108	108	NUM
aiti-11568	450	39	,	,	PUNCT
aiti-11568	450	40	pp	pp	ADJ
aiti-11568	450	41	.	.	PUNCT
aiti-11568	451	1	115	115	NUM
aiti-11568	451	2	-	-	SYM
aiti-11568	451	3	120	120	NUM
aiti-11568	451	4	,	,	PUNCT
aiti-11568	451	5	june	june	PROPN
aiti-11568	451	6	2019	2019	NUM
aiti-11568	451	7	.	.	PUNCT
aiti-11568	452	1	[	[	X
aiti-11568	452	2	19	19	NUM
aiti-11568	452	3	]	]	X
aiti-11568	452	4	s.	s.	PROPN
aiti-11568	452	5	ashwinkumar	ashwinkumar	PROPN
aiti-11568	452	6	,	,	PUNCT
aiti-11568	452	7	s.	s.	PROPN
aiti-11568	452	8	rajagopal	rajagopal	PROPN
aiti-11568	452	9	,	,	PUNCT
aiti-11568	452	10	v.	v.	CCONJ
aiti-11568	452	11	manimaran	manimaran	NOUN
aiti-11568	452	12	,	,	PUNCT
aiti-11568	452	13	and	and	CCONJ
aiti-11568	452	14	b.	b.	PROPN
aiti-11568	452	15	jegajothi	jegajothi	PROPN
aiti-11568	452	16	,	,	PUNCT
aiti-11568	452	17	“	"	PUNCT
aiti-11568	452	18	automated	automate	VERB
aiti-11568	452	19	plant	plant	NOUN
aiti-11568	452	20	leaf	leaf	NOUN
aiti-11568	452	21	disease	disease	NOUN
aiti-11568	452	22	detection	detection	NOUN
aiti-11568	452	23	and	and	CCONJ
aiti-11568	452	24	classification	classification	NOUN
aiti-11568	452	25	using	use	VERB
aiti-11568	452	26	optimal	optimal	ADJ
aiti-11568	452	27	mobilenet	mobilenet	NOUN
aiti-11568	452	28	based	base	VERB
aiti-11568	452	29	convolutional	convolutional	ADJ
aiti-11568	452	30	neural	neural	ADJ
aiti-11568	452	31	networks	network	NOUN
aiti-11568	452	32	,	,	PUNCT
aiti-11568	452	33	”	"	PUNCT
aiti-11568	452	34	materials	material	NOUN
aiti-11568	452	35	today	today	NOUN
aiti-11568	452	36	:	:	PUNCT
aiti-11568	452	37	proceedings	proceeding	NOUN
aiti-11568	452	38	,	,	PUNCT
aiti-11568	452	39	vol	vol	NOUN
aiti-11568	452	40	.	.	PROPN
aiti-11568	453	1	51	51	NUM
aiti-11568	453	2	,	,	PUNCT
aiti-11568	453	3	no	no	INTJ
aiti-11568	453	4	.	.	NOUN
aiti-11568	453	5	1	1	NUM
aiti-11568	453	6	,	,	PUNCT
aiti-11568	453	7	pp	pp	ADJ
aiti-11568	453	8	.	.	PUNCT
aiti-11568	454	1	480	480	NUM
aiti-11568	454	2	-	-	SYM
aiti-11568	454	3	487	487	NUM
aiti-11568	454	4	,	,	PUNCT
aiti-11568	454	5	2021	2021	NUM
aiti-11568	454	6	.	.	PUNCT
aiti-11568	455	1	[	[	X
aiti-11568	455	2	20	20	NUM
aiti-11568	455	3	]	]	X
aiti-11568	455	4	y.	y.	PROPN
aiti-11568	455	5	kaya	kaya	PROPN
aiti-11568	455	6	and	and	CCONJ
aiti-11568	455	7	e.	e.	PROPN
aiti-11568	455	8	gürsoy	gürsoy	PROPN
aiti-11568	455	9	,	,	PUNCT
aiti-11568	455	10	“	"	PUNCT
aiti-11568	455	11	a	a	DET
aiti-11568	455	12	novel	novel	ADJ
aiti-11568	455	13	multi	multi	ADJ
aiti-11568	455	14	-	-	ADJ
aiti-11568	455	15	head	head	ADJ
aiti-11568	455	16	cnn	cnn	PROPN
aiti-11568	455	17	design	design	NOUN
aiti-11568	455	18	to	to	PART
aiti-11568	455	19	identify	identify	VERB
aiti-11568	455	20	plant	plant	NOUN
aiti-11568	455	21	diseases	disease	NOUN
aiti-11568	455	22	using	use	VERB
aiti-11568	455	23	the	the	DET
aiti-11568	455	24	fusion	fusion	NOUN
aiti-11568	455	25	of	of	ADP
aiti-11568	455	26	rgb	rgb	PROPN
aiti-11568	455	27	images	image	NOUN
aiti-11568	455	28	,	,	PUNCT
aiti-11568	455	29	”	"	PUNCT
aiti-11568	455	30	ecological	ecological	ADJ
aiti-11568	455	31	informatics	informatic	NOUN
aiti-11568	455	32	,	,	PUNCT
aiti-11568	455	33	vol	vol	NOUN
aiti-11568	455	34	.	.	PROPN
aiti-11568	455	35	75	75	NUM
aiti-11568	455	36	,	,	PUNCT
aiti-11568	455	37	article	article	NOUN
aiti-11568	455	38	no	no	NOUN
aiti-11568	455	39	.	.	PROPN
aiti-11568	455	40	101998	101998	NUM
aiti-11568	455	41	,	,	PUNCT
aiti-11568	455	42	july	july	PROPN
aiti-11568	455	43	2023	2023	NUM
aiti-11568	455	44	.	.	PUNCT
aiti-11568	456	1	[	[	X
aiti-11568	456	2	21	21	NUM
aiti-11568	456	3	]	]	PUNCT
aiti-11568	456	4	p.	p.	PROPN
aiti-11568	456	5	s.	s.	PROPN
aiti-11568	456	6	thakur	thakur	PROPN
aiti-11568	456	7	,	,	PUNCT
aiti-11568	456	8	t.	t.	PROPN
aiti-11568	456	9	sheorey	sheorey	PROPN
aiti-11568	456	10	,	,	PUNCT
aiti-11568	456	11	and	and	CCONJ
aiti-11568	456	12	a.	a.	NOUN
aiti-11568	456	13	ojha	ojha	PROPN
aiti-11568	456	14	,	,	PUNCT
aiti-11568	456	15	“	"	PUNCT
aiti-11568	456	16	vgg	vgg	PROPN
aiti-11568	456	17	-	-	PUNCT
aiti-11568	456	18	icnn	icnn	PROPN
aiti-11568	456	19	:	:	PUNCT
aiti-11568	456	20	a	a	DET
aiti-11568	456	21	lightweight	lightweight	ADJ
aiti-11568	456	22	cnn	cnn	PROPN
aiti-11568	456	23	model	model	NOUN
aiti-11568	456	24	for	for	ADP
aiti-11568	456	25	crop	crop	NOUN
aiti-11568	456	26	disease	disease	NOUN
aiti-11568	456	27	identification	identification	NOUN
aiti-11568	456	28	,	,	PUNCT
aiti-11568	456	29	”	"	PUNCT
aiti-11568	456	30	multimedia	multimedia	NOUN
aiti-11568	456	31	tools	tool	NOUN
aiti-11568	456	32	and	and	CCONJ
aiti-11568	456	33	applications	application	NOUN
aiti-11568	456	34	,	,	PUNCT
aiti-11568	456	35	vol	vol	NOUN
aiti-11568	456	36	.	.	PROPN
aiti-11568	456	37	82	82	NUM
aiti-11568	456	38	,	,	PUNCT
aiti-11568	456	39	no	no	INTJ
aiti-11568	456	40	.	.	NOUN
aiti-11568	456	41	1	1	NUM
aiti-11568	456	42	,	,	PUNCT
aiti-11568	456	43	pp	pp	ADJ
aiti-11568	456	44	.	.	PUNCT
aiti-11568	457	1	497	497	NUM
aiti-11568	457	2	-	-	SYM
aiti-11568	457	3	520	520	NUM
aiti-11568	457	4	,	,	PUNCT
aiti-11568	457	5	january	january	PROPN
aiti-11568	457	6	2023	2023	NUM
aiti-11568	457	7	.	.	PUNCT
aiti-11568	458	1	[	[	X
aiti-11568	458	2	22	22	NUM
aiti-11568	458	3	]	]	PUNCT
aiti-11568	458	4	k.	k.	PROPN
aiti-11568	458	5	simonyan	simonyan	PROPN
aiti-11568	458	6	and	and	CCONJ
aiti-11568	458	7	a.	a.	NOUN
aiti-11568	458	8	zisserman	zisserman	PROPN
aiti-11568	458	9	,	,	PUNCT
aiti-11568	458	10	“	"	PUNCT
aiti-11568	458	11	very	very	ADV
aiti-11568	458	12	deep	deep	ADJ
aiti-11568	458	13	convolutional	convolutional	ADJ
aiti-11568	458	14	networks	network	NOUN
aiti-11568	458	15	for	for	ADP
aiti-11568	458	16	large	large	ADJ
aiti-11568	458	17	-	-	PUNCT
aiti-11568	458	18	scale	scale	NOUN
aiti-11568	458	19	image	image	NOUN
aiti-11568	458	20	recognition	recognition	NOUN
aiti-11568	458	21	,	,	PUNCT
aiti-11568	458	22	”	"	PUNCT
aiti-11568	458	23	https://doi.org/10.48550/arxiv.1409.1556	https://doi.org/10.48550/arxiv.1409.1556	PROPN
aiti-11568	458	24	,	,	PUNCT
aiti-11568	458	25	september	september	PROPN
aiti-11568	458	26	04	04	NUM
aiti-11568	458	27	,	,	PUNCT
aiti-11568	458	28	2014	2014	NUM
aiti-11568	458	29	.	.	PUNCT
aiti-11568	459	1	[	[	X
aiti-11568	459	2	23	23	NUM
aiti-11568	459	3	]	]	PUNCT
aiti-11568	459	4	a.	a.	NOUN
aiti-11568	459	5	g.	g.	PROPN
aiti-11568	459	6	howard	howard	PROPN
aiti-11568	459	7	,	,	PUNCT
aiti-11568	459	8	m.	m.	PROPN
aiti-11568	459	9	zhu	zhu	PROPN
aiti-11568	459	10	,	,	PUNCT
aiti-11568	459	11	b.	b.	PROPN
aiti-11568	459	12	chen	chen	PROPN
aiti-11568	459	13	,	,	PUNCT
aiti-11568	459	14	d.	d.	PROPN
aiti-11568	459	15	kalenichenko	kalenichenko	PROPN
aiti-11568	459	16	,	,	PUNCT
aiti-11568	459	17	w.	w.	PROPN
aiti-11568	459	18	wang	wang	PROPN
aiti-11568	459	19	,	,	PUNCT
aiti-11568	459	20	t.	t.	PROPN
aiti-11568	459	21	weyand	weyand	PROPN
aiti-11568	459	22	,	,	PUNCT
aiti-11568	459	23	et	et	PROPN
aiti-11568	459	24	al	al	PROPN
aiti-11568	459	25	.	.	PROPN
aiti-11568	459	26	,	,	PUNCT
aiti-11568	459	27	“	"	PUNCT
aiti-11568	459	28	mobilenets	mobilenet	NOUN
aiti-11568	459	29	:	:	PUNCT
aiti-11568	459	30	efficient	efficient	ADJ
aiti-11568	459	31	convolutional	convolutional	ADJ
aiti-11568	459	32	neural	neural	ADJ
aiti-11568	459	33	networks	network	NOUN
aiti-11568	459	34	for	for	ADP
aiti-11568	459	35	mobile	mobile	ADJ
aiti-11568	459	36	vision	vision	NOUN
aiti-11568	459	37	applications	application	NOUN
aiti-11568	459	38	,	,	PUNCT
aiti-11568	459	39	”	"	PUNCT
aiti-11568	459	40	https://doi.org/10.48550/arxiv.1704.04861	https://doi.org/10.48550/arxiv.1704.04861	PROPN
aiti-11568	459	41	,	,	PUNCT
aiti-11568	459	42	april	april	PROPN
aiti-11568	459	43	17	17	NUM
aiti-11568	459	44	,	,	PUNCT
aiti-11568	459	45	2017	2017	NUM
aiti-11568	459	46	.	.	PUNCT
aiti-11568	460	1	copyright	copyright	NOUN
aiti-11568	460	2	©	©	PROPN
aiti-11568	460	3	by	by	ADP
aiti-11568	460	4	the	the	DET
aiti-11568	460	5	authors	author	NOUN
aiti-11568	460	6	.	.	PUNCT
aiti-11568	461	1	licensee	licensee	PROPN
aiti-11568	461	2	taeti	taeti	PROPN
aiti-11568	461	3	,	,	PUNCT
aiti-11568	461	4	taiwan	taiwan	PROPN
aiti-11568	461	5	.	.	PUNCT
aiti-11568	462	1	this	this	DET
aiti-11568	462	2	article	article	NOUN
aiti-11568	462	3	is	be	AUX
aiti-11568	462	4	an	an	DET
aiti-11568	462	5	open	open	ADJ
aiti-11568	462	6	access	access	NOUN
aiti-11568	462	7	article	article	NOUN
aiti-11568	462	8	distributed	distribute	VERB
aiti-11568	462	9	under	under	ADP
aiti-11568	462	10	the	the	DET
aiti-11568	462	11	terms	term	NOUN
aiti-11568	462	12	and	and	CCONJ
aiti-11568	462	13	conditions	condition	NOUN
aiti-11568	462	14	of	of	ADP
aiti-11568	462	15	the	the	DET
aiti-11568	462	16	creative	creative	ADJ
aiti-11568	462	17	commons	common	NOUN
aiti-11568	462	18	attribution	attribution	NOUN
aiti-11568	462	19	(	(	PUNCT
aiti-11568	462	20	cc	cc	NOUN
aiti-11568	462	21	by	by	ADP
aiti-11568	462	22	-	-	PUNCT
aiti-11568	462	23	nc	nc	NOUN
aiti-11568	462	24	)	)	PUNCT
aiti-11568	462	25	license	license	NOUN
aiti-11568	462	26	(	(	PUNCT
aiti-11568	462	27	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-11568	462	28	)	)	PUNCT
aiti-11568	462	29	.	.	PUNCT