id	sid	tid	token	lemma	pos
agb-192	1	1	agbioforum	agbioforum	NOUN
agb-192	1	2	,	,	PUNCT
agb-192	1	3	25(1	25(1	NUM
agb-192	1	4	):	):	PUNCT
agb-192	1	5	58	58	NUM
agb-192	1	6	-	-	SYM
agb-192	1	7	67	67	NUM
agb-192	1	8	.	.	PUNCT
agb-192	2	1	©	©	NOUN
agb-192	2	2	2023	2023	NUM
agb-192	2	3	agbioforum	agbioforum	NOUN
agb-192	2	4	comparative	comparative	ADJ
agb-192	2	5	study	study	NOUN
agb-192	2	6	on	on	ADP
agb-192	2	7	leaf	leaf	NOUN
agb-192	2	8	disease	disease	NOUN
agb-192	2	9	identification	identification	NOUN
agb-192	2	10	using	use	VERB
agb-192	2	11	yolo	yolo	ADJ
agb-192	2	12	v4	v4	NOUN
agb-192	2	13	and	and	CCONJ
agb-192	2	14	yolo	yolo	ADJ
agb-192	2	15	v7	v7	VERB
agb-192	2	16	algorithm	algorithm	NOUN
agb-192	2	17	wang	wang	PROPN
agb-192	2	18	xinming	xinming	PROPN
agb-192	2	19	dr	dr	PROPN
agb-192	2	20	,	,	PUNCT
agb-192	2	21	professor	professor	NOUN
agb-192	2	22	,	,	PUNCT
agb-192	2	23	ph.d	ph.d	PROPN
agb-192	2	24	.	.	PROPN
agb-192	2	25	,	,	PUNCT
agb-192	2	26	department	department	NOUN
agb-192	2	27	of	of	ADP
agb-192	2	28	mechanical	mechanical	ADJ
agb-192	2	29	and	and	CCONJ
agb-192	2	30	manufacturing	manufacturing	NOUN
agb-192	2	31	engineering	engineering	NOUN
agb-192	3	1	，	，	PROPN
agb-192	4	1	upm，43400	upm，43400	INTJ
agb-192	4	2	，	，	PUNCT
agb-192	4	3	malaysia	malaysia	NOUN
agb-192	4	4	email	email	NOUN
agb-192	4	5	:	:	PUNCT
agb-192	4	6	gs62785@student.upm.edu.my	gs62785@student.upm.edu.my	PROPN
agb-192	4	7	tang	tang	PROPN
agb-192	4	8	sai	sai	PROPN
agb-192	5	1	hong	hong	PROPN
agb-192	5	2	*	*	PUNCT
agb-192	5	3	*	*	PUNCT
agb-192	5	4	dr	dr	PROPN
agb-192	5	5	professor	professor	PROPN
agb-192	5	6	,	,	PUNCT
agb-192	5	7	ph.d	ph.d	PROPN
agb-192	5	8	.	.	PROPN
agb-192	5	9	,	,	PUNCT
agb-192	5	10	department	department	NOUN
agb-192	5	11	of	of	ADP
agb-192	5	12	mechanical	mechanical	ADJ
agb-192	5	13	and	and	CCONJ
agb-192	5	14	manufacturing	manufacturing	NOUN
agb-192	5	15	engineering	engineering	NOUN
agb-192	5	16	，	，	PROPN
agb-192	6	1	upm，43400	upm，43400	INTJ
agb-192	6	2	，	，	PUNCT
agb-192	6	3	malaysia	malaysia	PROPN
agb-192	6	4	email	email	NOUN
agb-192	6	5	:	:	PUNCT
agb-192	6	6	saihong@upm.edu.my	saihong@upm.edu.my	PROPN
agb-192	6	7	mohd	mohd	PROPN
agb-192	6	8	khairol	khairol	PROPN
agb-192	6	9	anuar	anuar	PROPN
agb-192	6	10	b.	b.	PROPN
agb-192	6	11	mohd	mohd	PROPN
agb-192	6	12	ariffin	ariffin	PROPN
agb-192	6	13	dr	dr	PROPN
agb-192	6	14	,	,	PUNCT
agb-192	6	15	professor	professor	NOUN
agb-192	6	16	,	,	PUNCT
agb-192	6	17	ph.d	ph.d	PROPN
agb-192	6	18	.	.	PROPN
agb-192	6	19	,	,	PUNCT
agb-192	6	20	department	department	NOUN
agb-192	6	21	of	of	ADP
agb-192	6	22	mechanical	mechanical	ADJ
agb-192	6	23	and	and	CCONJ
agb-192	6	24	manufacturing	manufacturing	NOUN
agb-192	6	25	engineering	engineering	NOUN
agb-192	6	26	，	，	PROPN
agb-192	6	27	upm，43400	upm，43400	INTJ
agb-192	6	28	，	，	PUNCT
agb-192	6	29	malaysia	malaysia	PROPN
agb-192	6	30	email	email	NOUN
agb-192	6	31	:	:	PUNCT
agb-192	6	32	khairol@upm.edu.my	khairol@upm.edu.my	PROPN
agb-192	6	33	mohd	mohd	PROPN
agb-192	6	34	idris	idris	PROPN
agb-192	6	35	shah	shah	PROPN
agb-192	6	36	b.	b.	PROPN
agb-192	6	37	ismail	ismail	PROPN
agb-192	6	38	dr	dr	PROPN
agb-192	6	39	,	,	PUNCT
agb-192	6	40	professor	professor	NOUN
agb-192	6	41	,	,	PUNCT
agb-192	6	42	ph.d	ph.d	PROPN
agb-192	6	43	.	.	PROPN
agb-192	6	44	,	,	PUNCT
agb-192	6	45	department	department	NOUN
agb-192	6	46	of	of	ADP
agb-192	6	47	mechanical	mechanical	ADJ
agb-192	6	48	and	and	CCONJ
agb-192	6	49	manufacturing	manufacturing	NOUN
agb-192	6	50	engineering	engineering	NOUN
agb-192	6	51	，	，	PROPN
agb-192	7	1	upm，43400	upm，43400	INTJ
agb-192	7	2	，	，	PUNCT
agb-192	7	3	malaysia	malaysia	NOUN
agb-192	7	4	email	email	NOUN
agb-192	7	5	:	:	PUNCT
agb-192	7	6	ms_idris@upm.edu.my	ms_idris@upm.edu.my	ADJ
agb-192	7	7	agriculture	agriculture	NOUN
agb-192	7	8	is	be	AUX
agb-192	7	9	the	the	DET
agb-192	7	10	primary	primary	ADJ
agb-192	7	11	occupation	occupation	NOUN
agb-192	7	12	of	of	ADP
agb-192	7	13	nearly	nearly	ADV
agb-192	7	14	all	all	PRON
agb-192	7	15	nations	nation	NOUN
agb-192	7	16	that	that	PRON
agb-192	7	17	feed	feed	VERB
agb-192	7	18	the	the	DET
agb-192	7	19	world	world	NOUN
agb-192	7	20	's	's	PART
agb-192	7	21	population	population	NOUN
agb-192	7	22	.	.	PUNCT
agb-192	8	1	the	the	DET
agb-192	8	2	population	population	NOUN
agb-192	8	3	growth	growth	NOUN
agb-192	8	4	and	and	CCONJ
agb-192	8	5	rising	rise	VERB
agb-192	8	6	demand	demand	NOUN
agb-192	8	7	for	for	ADP
agb-192	8	8	food	food	NOUN
agb-192	8	9	require	require	VERB
agb-192	8	10	farmers	farmer	NOUN
agb-192	8	11	to	to	PART
agb-192	8	12	increase	increase	VERB
agb-192	8	13	food	food	NOUN
agb-192	8	14	production	production	NOUN
agb-192	8	15	to	to	PART
agb-192	8	16	meet	meet	VERB
agb-192	8	17	the	the	DET
agb-192	8	18	requirements	requirement	NOUN
agb-192	8	19	.	.	PUNCT
agb-192	9	1	on	on	ADP
agb-192	9	2	the	the	DET
agb-192	9	3	other	other	ADJ
agb-192	9	4	hand	hand	NOUN
agb-192	9	5	,	,	PUNCT
agb-192	9	6	farming	farming	NOUN
agb-192	9	7	is	be	AUX
agb-192	9	8	not	not	PART
agb-192	9	9	regarded	regard	VERB
agb-192	9	10	as	as	ADP
agb-192	9	11	a	a	DET
agb-192	9	12	lucrative	lucrative	ADJ
agb-192	9	13	occupation	occupation	NOUN
agb-192	9	14	,	,	PUNCT
agb-192	9	15	as	as	SCONJ
agb-192	9	16	farmers	farmer	NOUN
agb-192	9	17	incur	incur	VERB
agb-192	9	18	significant	significant	ADJ
agb-192	9	19	losses	loss	NOUN
agb-192	9	20	due	due	ADP
agb-192	9	21	to	to	ADP
agb-192	9	22	pests	pest	NOUN
agb-192	9	23	and	and	CCONJ
agb-192	9	24	diseases	disease	NOUN
agb-192	9	25	that	that	PRON
agb-192	9	26	reduce	reduce	VERB
agb-192	9	27	the	the	DET
agb-192	9	28	quality	quality	NOUN
agb-192	9	29	and	and	CCONJ
agb-192	9	30	quantity	quantity	NOUN
agb-192	9	31	of	of	ADP
agb-192	9	32	farm	farm	NOUN
agb-192	9	33	produce	produce	NOUN
agb-192	9	34	.	.	PUNCT
agb-192	10	1	consequently	consequently	ADV
agb-192	10	2	,	,	PUNCT
agb-192	10	3	predicting	predict	VERB
agb-192	10	4	plant	plant	NOUN
agb-192	10	5	diseases	disease	NOUN
agb-192	10	6	using	use	VERB
agb-192	10	7	modern	modern	ADJ
agb-192	10	8	technologies	technology	NOUN
agb-192	10	9	will	will	AUX
agb-192	10	10	aid	aid	VERB
agb-192	10	11	producers	producer	NOUN
agb-192	10	12	in	in	ADP
agb-192	10	13	making	make	VERB
agb-192	10	14	well	well	ADV
agb-192	10	15	-	-	PUNCT
agb-192	10	16	informed	inform	VERB
agb-192	10	17	decisions	decision	NOUN
agb-192	10	18	early	early	ADV
agb-192	10	19	on	on	ADV
agb-192	10	20	.	.	PUNCT
agb-192	11	1	this	this	DET
agb-192	11	2	study	study	NOUN
agb-192	11	3	employs	employ	VERB
agb-192	11	4	and	and	CCONJ
agb-192	11	5	compares	compare	VERB
agb-192	11	6	the	the	DET
agb-192	11	7	results	result	NOUN
agb-192	11	8	of	of	ADP
agb-192	11	9	two	two	NUM
agb-192	11	10	important	important	ADJ
agb-192	11	11	computer	computer	NOUN
agb-192	11	12	vision	vision	NOUN
agb-192	11	13	algorithms	algorithms	PROPN
agb-192	11	14	,	,	PUNCT
agb-192	11	15	yolov4	yolov4	PROPN
agb-192	11	16	and	and	CCONJ
agb-192	11	17	yolov7	yolov7	NOUN
agb-192	11	18	,	,	PUNCT
agb-192	11	19	for	for	ADP
agb-192	11	20	classifying	classify	VERB
agb-192	11	21	leaf	leaf	NOUN
agb-192	11	22	diseases	disease	NOUN
agb-192	11	23	from	from	ADP
agb-192	11	24	images	image	NOUN
agb-192	11	25	of	of	ADP
agb-192	11	26	leaves	leave	NOUN
agb-192	11	27	from	from	ADP
agb-192	11	28	various	various	ADJ
agb-192	11	29	plant	plant	NOUN
agb-192	11	30	species	specie	NOUN
agb-192	11	31	.	.	PUNCT
agb-192	12	1	the	the	DET
agb-192	12	2	models	model	NOUN
agb-192	12	3	are	be	AUX
agb-192	12	4	trained	train	VERB
agb-192	12	5	with	with	ADP
agb-192	12	6	images	image	NOUN
agb-192	12	7	of	of	ADP
agb-192	12	8	individual	individual	ADJ
agb-192	12	9	leaves	leave	NOUN
agb-192	12	10	captured	capture	VERB
agb-192	12	11	in	in	ADP
agb-192	12	12	various	various	ADJ
agb-192	12	13	environments	environment	NOUN
agb-192	12	14	,	,	PUNCT
agb-192	12	15	imparting	impart	VERB
agb-192	12	16	resilience	resilience	NOUN
agb-192	12	17	and	and	CCONJ
agb-192	12	18	adaptability	adaptability	NOUN
agb-192	12	19	.	.	PUNCT
agb-192	13	1	both	both	DET
agb-192	13	2	models	model	NOUN
agb-192	13	3	annotate	annotate	VERB
agb-192	13	4	and	and	CCONJ
agb-192	13	5	predict	predict	VERB
agb-192	13	6	leaf	leaf	NOUN
agb-192	13	7	diseases	disease	NOUN
agb-192	13	8	with	with	ADP
agb-192	13	9	high	high	ADJ
agb-192	13	10	confidence	confidence	NOUN
agb-192	13	11	for	for	ADP
agb-192	13	12	each	each	DET
agb-192	13	13	class	class	NOUN
agb-192	13	14	.	.	PUNCT
agb-192	14	1	other	other	ADJ
agb-192	14	2	classification	classification	NOUN
agb-192	14	3	metrics	metric	NOUN
agb-192	14	4	,	,	PUNCT
agb-192	14	5	such	such	ADJ
agb-192	14	6	as	as	ADP
agb-192	14	7	precision	precision	NOUN
agb-192	14	8	,	,	PUNCT
agb-192	14	9	f1	f1	NOUN
agb-192	14	10	-	-	PUNCT
agb-192	14	11	score	score	NOUN
agb-192	14	12	,	,	PUNCT
agb-192	14	13	mean	mean	ADJ
agb-192	14	14	average	average	ADJ
agb-192	14	15	precision	precision	NOUN
agb-192	14	16	,	,	PUNCT
agb-192	14	17	and	and	CCONJ
agb-192	14	18	recall	recall	NOUN
agb-192	14	19	,	,	PUNCT
agb-192	14	20	also	also	ADV
agb-192	14	21	demonstrate	demonstrate	VERB
agb-192	14	22	competitive	competitive	ADJ
agb-192	14	23	performance	performance	NOUN
agb-192	14	24	.	.	PUNCT
agb-192	15	1	however	however	ADV
agb-192	15	2	,	,	PUNCT
agb-192	15	3	yolov7	yolov7	PRON
agb-192	15	4	performs	perform	VERB
agb-192	15	5	better	well	ADJ
agb-192	15	6	because	because	SCONJ
agb-192	15	7	its	its	PRON
agb-192	15	8	flexible	flexible	ADJ
agb-192	15	9	labeling	labeling	NOUN
agb-192	15	10	mechanism	mechanism	NOUN
agb-192	15	11	dynamically	dynamically	ADV
agb-192	15	12	learns	learn	VERB
agb-192	15	13	the	the	DET
agb-192	15	14	class	class	NOUN
agb-192	15	15	labels	label	NOUN
agb-192	15	16	.	.	PUNCT
agb-192	16	1	in	in	ADP
agb-192	16	2	addition	addition	NOUN
agb-192	16	3	,	,	PUNCT
agb-192	16	4	the	the	DET
agb-192	16	5	work	work	NOUN
agb-192	16	6	can	can	AUX
agb-192	16	7	be	be	AUX
agb-192	16	8	expanded	expand	VERB
agb-192	16	9	to	to	PART
agb-192	16	10	utilize	utilize	VERB
agb-192	16	11	recommendation	recommendation	NOUN
agb-192	16	12	strategies	strategy	NOUN
agb-192	16	13	to	to	PART
agb-192	16	14	predict	predict	VERB
agb-192	16	15	the	the	DET
agb-192	16	16	extent	extent	NOUN
agb-192	16	17	of	of	ADP
agb-192	16	18	injury	injury	NOUN
agb-192	16	19	.	.	PUNCT
agb-192	17	1	keywords	keyword	NOUN
agb-192	17	2	:	:	PUNCT
agb-192	17	3	plant	plant	NOUN
agb-192	17	4	leaf	leaf	NOUN
agb-192	17	5	disease	disease	NOUN
agb-192	17	6	,	,	PUNCT
agb-192	17	7	yolo	yolo	ADJ
agb-192	17	8	v4	v4	NOUN
agb-192	17	9	,	,	PUNCT
agb-192	17	10	yolo	yolo	ADJ
agb-192	17	11	v7	v7	NOUN
agb-192	17	12	,	,	PUNCT
agb-192	17	13	spatial	spatial	ADJ
agb-192	17	14	pyramid	pyramid	NOUN
agb-192	17	15	pooling	pooling	NOUN
agb-192	17	16	,	,	PUNCT
agb-192	17	17	mean	mean	ADJ
agb-192	17	18	average	average	ADJ
agb-192	17	19	precision	precision	NOUN
agb-192	17	20	,	,	PUNCT
agb-192	17	21	iou	iou	NOUN
agb-192	17	22	,	,	PUNCT
agb-192	17	23	compound	compound	NOUN
agb-192	17	24	scaling	scaling	NOUN
agb-192	17	25	,	,	PUNCT
agb-192	17	26	precision	precision	NOUN
agb-192	17	27	agriculture	agriculture	NOUN
agb-192	17	28	1	1	NUM
agb-192	17	29	.	.	PUNCT
agb-192	17	30	introduction	introduction	NOUN
agb-192	17	31	the	the	DET
agb-192	17	32	world	world	NOUN
agb-192	17	33	's	's	PART
agb-192	17	34	population	population	NOUN
agb-192	17	35	is	be	AUX
agb-192	17	36	expected	expect	VERB
agb-192	17	37	to	to	PART
agb-192	17	38	increase	increase	VERB
agb-192	17	39	by	by	ADP
agb-192	17	40	30	30	NUM
agb-192	17	41	%	%	NOUN
agb-192	17	42	over	over	ADP
agb-192	17	43	the	the	DET
agb-192	17	44	next	next	ADJ
agb-192	17	45	35	35	NUM
agb-192	17	46	years	year	NOUN
agb-192	17	47	,	,	PUNCT
agb-192	17	48	bringing	bring	VERB
agb-192	17	49	the	the	DET
agb-192	17	50	total	total	NOUN
agb-192	17	51	to	to	ADP
agb-192	17	52	over	over	ADP
agb-192	17	53	8	8	NUM
agb-192	17	54	billion	billion	NUM
agb-192	17	55	(	(	PUNCT
agb-192	17	56	as	as	SCONJ
agb-192	17	57	shown	show	VERB
agb-192	17	58	in	in	ADP
agb-192	17	59	fig	fig	NOUN
agb-192	17	60	.	.	PUNCT
agb-192	18	1	1	1	NUM
agb-192	18	2	)	)	PUNCT
agb-192	18	3	.	.	PUNCT
agb-192	19	1	according	accord	VERB
agb-192	19	2	to	to	ADP
agb-192	19	3	a	a	DET
agb-192	19	4	report	report	NOUN
agb-192	19	5	by	by	ADP
agb-192	19	6	the	the	DET
agb-192	19	7	food	food	NOUN
agb-192	19	8	and	and	CCONJ
agb-192	19	9	agricultural	agricultural	ADJ
agb-192	19	10	organization	organization	NOUN
agb-192	19	11	(	(	PUNCT
agb-192	19	12	fao	fao	PROPN
agb-192	19	13	)	)	PUNCT
agb-192	19	14	,	,	PUNCT
agb-192	19	15	it	it	PRON
agb-192	19	16	is	be	AUX
agb-192	19	17	necessary	necessary	ADJ
agb-192	19	18	to	to	PART
agb-192	19	19	increase	increase	VERB
agb-192	19	20	agricultural	agricultural	ADJ
agb-192	19	21	yields	yield	NOUN
agb-192	19	22	by	by	ADP
agb-192	19	23	at	at	ADV
agb-192	19	24	least	least	ADV
agb-192	19	25	60	60	NUM
agb-192	19	26	percent	percent	NOUN
agb-192	19	27	in	in	ADP
agb-192	19	28	order	order	NOUN
agb-192	19	29	to	to	PART
agb-192	19	30	meet	meet	VERB
agb-192	19	31	global	global	ADJ
agb-192	19	32	food	food	NOUN
agb-192	19	33	demands	demand	NOUN
agb-192	19	34	(	(	PUNCT
agb-192	19	35	alexandratos	alexandrato	NOUN
agb-192	19	36	&	&	CCONJ
agb-192	19	37	bruinsma	bruinsma	PROPN
agb-192	19	38	,	,	PUNCT
agb-192	19	39	2012	2012	NUM
agb-192	19	40	)	)	PUNCT
agb-192	19	41	.	.	PUNCT
agb-192	20	1	the	the	DET
agb-192	20	2	agricultural	agricultural	ADJ
agb-192	20	3	harvests	harvest	NOUN
agb-192	20	4	of	of	ADP
agb-192	20	5	the	the	DET
agb-192	20	6	past	past	ADJ
agb-192	20	7	50	50	NUM
agb-192	20	8	years	year	NOUN
agb-192	20	9	demonstrate	demonstrate	VERB
agb-192	20	10	that	that	SCONJ
agb-192	20	11	an	an	DET
agb-192	20	12	ambitious	ambitious	ADJ
agb-192	20	13	objective	objective	NOUN
agb-192	20	14	of	of	ADP
agb-192	20	15	2800	2800	NUM
agb-192	20	16	kcal	kcal	NOUN
agb-192	20	17	/	/	SYM
agb-192	20	18	person	person	NOUN
agb-192	20	19	/	/	SYM
agb-192	20	20	day	day	NOUN
agb-192	20	21	can	can	AUX
agb-192	20	22	be	be	AUX
agb-192	20	23	reached	reach	VERB
agb-192	20	24	from	from	ADP
agb-192	20	25	2200	2200	NUM
agb-192	20	26	kcal	kcal	ADJ
agb-192	20	27	/	/	SYM
agb-192	20	28	person	person	NOUN
agb-192	20	29	/	/	SYM
agb-192	20	30	day	day	NOUN
agb-192	20	31	.	.	PUNCT
agb-192	21	1	despite	despite	SCONJ
agb-192	21	2	this	this	DET
agb-192	21	3	growth	growth	NOUN
agb-192	21	4	,	,	PUNCT
agb-192	21	5	many	many	ADJ
agb-192	21	6	people	people	NOUN
agb-192	21	7	are	be	AUX
agb-192	21	8	starving	starve	VERB
agb-192	21	9	because	because	SCONJ
agb-192	21	10	food	food	NOUN
agb-192	21	11	distribution	distribution	NOUN
agb-192	21	12	is	be	AUX
agb-192	21	13	not	not	PART
agb-192	21	14	uniform	uniform	ADJ
agb-192	21	15	.	.	PUNCT
agb-192	22	1	fig	fig	NOUN
agb-192	22	2	1	1	NUM
agb-192	22	3	:	:	PUNCT
agb-192	22	4	world	world	NOUN
agb-192	22	5	population	population	NOUN
agb-192	22	6	growth	growth	NOUN
agb-192	22	7	trend	trend	NOUN
agb-192	22	8	green	green	ADJ
agb-192	22	9	revolution	revolution	PROPN
agb-192	22	10	,	,	PUNCT
agb-192	22	11	the	the	DET
agb-192	22	12	replacement	replacement	NOUN
agb-192	22	13	of	of	ADP
agb-192	22	14	traditional	traditional	ADJ
agb-192	22	15	agricultural	agricultural	ADJ
agb-192	22	16	practices	practice	NOUN
agb-192	22	17	with	with	ADP
agb-192	22	18	modern	modern	ADJ
agb-192	22	19	technologies	technology	NOUN
agb-192	22	20	,	,	PUNCT
agb-192	23	1	use	use	NOUN
agb-192	23	2	of	of	ADP
agb-192	23	3	agrochemicals	agrochemical	NOUN
agb-192	23	4	,	,	PUNCT
agb-192	23	5	mechanization	mechanization	NOUN
agb-192	23	6	of	of	ADP
agb-192	23	7	labor	labor	NOUN
agb-192	23	8	,	,	PUNCT
agb-192	23	9	efficient	efficient	ADJ
agb-192	23	10	water	water	NOUN
agb-192	23	11	management	management	NOUN
agb-192	23	12	,	,	PUNCT
agb-192	23	13	expansion	expansion	NOUN
agb-192	23	14	of	of	ADP
agb-192	23	15	irrigated	irrigated	ADJ
agb-192	23	16	land	land	NOUN
agb-192	23	17	,	,	PUNCT
agb-192	23	18	and	and	CCONJ
agb-192	23	19	advancements	advancement	NOUN
agb-192	23	20	in	in	ADP
agb-192	23	21	food	food	NOUN
agb-192	23	22	storage	storage	NOUN
agb-192	23	23	and	and	CCONJ
agb-192	23	24	processing	processing	NOUN
agb-192	23	25	technologies	technology	NOUN
agb-192	23	26	are	be	AUX
agb-192	23	27	the	the	DET
agb-192	23	28	primary	primary	ADJ
agb-192	23	29	boosters	booster	NOUN
agb-192	23	30	of	of	ADP
agb-192	23	31	food	food	NOUN
agb-192	23	32	production	production	NOUN
agb-192	23	33	,	,	PUNCT
agb-192	23	34	according	accord	VERB
agb-192	23	35	to	to	ADP
agb-192	23	36	siedow	siedow	PROPN
agb-192	23	37	(	(	PUNCT
agb-192	23	38	2001	2001	NUM
agb-192	23	39	)	)	PUNCT
agb-192	23	40	.	.	PUNCT
agb-192	24	1	as	as	SCONJ
agb-192	24	2	shown	show	VERB
agb-192	24	3	in	in	ADP
agb-192	24	4	fig	fig	NOUN
agb-192	24	5	.	.	PUNCT
agb-192	25	1	2	2	NUM
agb-192	25	2	,	,	PUNCT
agb-192	25	3	there	there	PRON
agb-192	25	4	is	be	VERB
agb-192	25	5	an	an	DET
agb-192	25	6	annual	annual	ADJ
agb-192	25	7	upward	upward	ADJ
agb-192	25	8	trend	trend	NOUN
agb-192	25	9	in	in	ADP
agb-192	25	10	the	the	DET
agb-192	25	11	yields	yield	NOUN
agb-192	25	12	of	of	ADP
agb-192	25	13	primary	primary	ADJ
agb-192	25	14	commodities	commodity	NOUN
agb-192	25	15	.	.	PUNCT
agb-192	26	1	fig	fig	NOUN
agb-192	26	2	2	2	NUM
agb-192	26	3	:	:	PUNCT
agb-192	26	4	increase	increase	VERB
agb-192	26	5	in	in	ADP
agb-192	26	6	yield	yield	NOUN
agb-192	26	7	of	of	ADP
agb-192	26	8	primary	primary	ADJ
agb-192	26	9	crops	crop	NOUN
agb-192	26	10	around	around	ADP
agb-192	26	11	the	the	DET
agb-192	26	12	world	world	NOUN
agb-192	26	13	despite	despite	SCONJ
agb-192	26	14	these	these	DET
agb-192	26	15	positive	positive	ADJ
agb-192	26	16	factors	factor	NOUN
agb-192	26	17	,	,	PUNCT
agb-192	26	18	urbanization	urbanization	NOUN
agb-192	26	19	,	,	PUNCT
agb-192	26	20	industrialization	industrialization	NOUN
agb-192	26	21	,	,	PUNCT
agb-192	26	22	labor	labor	NOUN
agb-192	26	23	market	market	NOUN
agb-192	26	24	scarcity	scarcity	NOUN
agb-192	26	25	,	,	PUNCT
agb-192	26	26	climatic	climatic	ADJ
agb-192	26	27	factors	factor	NOUN
agb-192	26	28	,	,	PUNCT
agb-192	26	29	and	and	CCONJ
agb-192	26	30	ancient	ancient	ADJ
agb-192	26	31	agricultural	agricultural	ADJ
agb-192	26	32	techniques	technique	NOUN
agb-192	26	33	threaten	threaten	VERB
agb-192	26	34	global	global	ADJ
agb-192	26	35	agriculture	agriculture	NOUN
agb-192	26	36	.	.	PUNCT
agb-192	27	1	this	this	DET
agb-192	27	2	climatic	climatic	ADJ
agb-192	27	3	barrier	barrier	NOUN
agb-192	27	4	has	have	AUX
agb-192	27	5	spawned	spawn	VERB
agb-192	27	6	a	a	DET
agb-192	27	7	potential	potential	ADJ
agb-192	27	8	biological	biological	ADJ
agb-192	27	9	hazard	hazard	NOUN
agb-192	27	10	to	to	ADP
agb-192	27	11	crops	crop	NOUN
agb-192	27	12	,	,	PUNCT
agb-192	27	13	reducing	reduce	VERB
agb-192	27	14	food	food	NOUN
agb-192	27	15	production	production	NOUN
agb-192	27	16	quality	quality	NOUN
agb-192	27	17	and	and	CCONJ
agb-192	27	18	quantity	quantity	NOUN
agb-192	27	19	(	(	PUNCT
agb-192	27	20	nguyen	nguyen	NOUN
agb-192	27	21	,	,	PUNCT
agb-192	27	22	sahin	sahin	PROPN
agb-192	27	23	,	,	PUNCT
agb-192	27	24	&	&	CCONJ
agb-192	27	25	howes	howes	PROPN
agb-192	27	26	,	,	PUNCT
agb-192	27	27	2021	2021	NUM
agb-192	27	28	)	)	PUNCT
agb-192	27	29	.	.	PUNCT
agb-192	28	1	farmers	farmer	NOUN
agb-192	28	2	and	and	CCONJ
agb-192	28	3	governments	government	NOUN
agb-192	28	4	attempt	attempt	VERB
agb-192	28	5	to	to	PART
agb-192	28	6	adopt	adopt	VERB
agb-192	28	7	effective	effective	ADJ
agb-192	28	8	control	control	NOUN
agb-192	28	9	measures	measure	NOUN
agb-192	28	10	by	by	ADP
agb-192	28	11	correlating	correlate	VERB
agb-192	28	12	the	the	DET
agb-192	28	13	plant	plant	NOUN
agb-192	28	14	's	's	PART
agb-192	28	15	epidemiological	epidemiological	ADJ
agb-192	28	16	parameters	parameter	NOUN
agb-192	28	17	with	with	ADP
agb-192	28	18	their	their	PRON
agb-192	28	19	cultivation	cultivation	NOUN
agb-192	28	20	landscape	landscape	NOUN
agb-192	28	21	(	(	PUNCT
agb-192	28	22	gilligan	gilligan	NOUN
agb-192	28	23	,	,	PUNCT
agb-192	28	24	2008	2008	NUM
agb-192	28	25	)	)	PUNCT
agb-192	28	26	.	.	PUNCT
agb-192	29	1	the	the	DET
agb-192	29	2	damages	damage	NOUN
agb-192	29	3	caused	cause	VERB
agb-192	29	4	by	by	ADP
agb-192	29	5	pest	pest	NOUN
agb-192	29	6	and	and	CCONJ
agb-192	29	7	disease	disease	NOUN
agb-192	29	8	attacks	attack	NOUN
agb-192	29	9	should	should	AUX
agb-192	29	10	not	not	PART
agb-192	29	11	be	be	AUX
agb-192	29	12	minimized	minimize	VERB
agb-192	29	13	because	because	SCONJ
agb-192	29	14	they	they	PRON
agb-192	29	15	significantly	significantly	ADV
agb-192	29	16	threaten	threaten	VERB
agb-192	29	17	crop	crop	NOUN
agb-192	29	18	productivity	productivity	NOUN
agb-192	29	19	.	.	PUNCT
agb-192	30	1	plant	plant	NOUN
agb-192	30	2	diseases	disease	NOUN
agb-192	30	3	are	be	AUX
agb-192	30	4	categorized	categorize	VERB
agb-192	30	5	broadly	broadly	ADV
agb-192	30	6	as	as	ADP
agb-192	30	7	abiotic	abiotic	ADJ
agb-192	30	8	or	or	CCONJ
agb-192	30	9	noninfectious	noninfectious	ADJ
agb-192	30	10	and	and	CCONJ
agb-192	30	11	biotic	biotic	ADJ
agb-192	30	12	or	or	CCONJ
agb-192	30	13	infectious	infectious	ADJ
agb-192	30	14	.	.	PUNCT
agb-192	31	1	unfavorable	unfavorable	ADJ
agb-192	31	2	environmental	environmental	ADJ
agb-192	31	3	conditions	condition	NOUN
agb-192	31	4	promote	promote	VERB
agb-192	31	5	the	the	DET
agb-192	31	6	development	development	NOUN
agb-192	31	7	of	of	ADP
agb-192	31	8	non	non	ADJ
agb-192	31	9	-	-	ADJ
agb-192	31	10	communicable	communicable	ADJ
agb-192	31	11	diseases	disease	NOUN
agb-192	31	12	in	in	ADP
agb-192	31	13	plants	plant	NOUN
agb-192	31	14	,	,	PUNCT
agb-192	31	15	which	which	PRON
agb-192	31	16	are	be	AUX
agb-192	31	17	the	the	DET
agb-192	31	18	primary	primary	ADJ
agb-192	31	19	cause	cause	NOUN
agb-192	31	20	of	of	ADP
agb-192	31	21	disease	disease	NOUN
agb-192	31	22	transmission	transmission	NOUN
agb-192	31	23	.	.	PUNCT
agb-192	32	1	in	in	ADP
agb-192	32	2	addition	addition	NOUN
agb-192	32	3	,	,	PUNCT
agb-192	32	4	the	the	DET
agb-192	32	5	fragile	fragile	ADJ
agb-192	32	6	physicochemical	physicochemical	ADJ
agb-192	32	7	composition	composition	NOUN
agb-192	32	8	of	of	ADP
agb-192	32	9	atmospheric	atmospheric	ADJ
agb-192	32	10	factors	factor	NOUN
agb-192	32	11	such	such	ADJ
agb-192	32	12	as	as	ADP
agb-192	32	13	air	air	NOUN
agb-192	32	14	and	and	CCONJ
agb-192	32	15	soil	soil	NOUN
agb-192	32	16	also	also	ADV
agb-192	32	17	plays	play	VERB
agb-192	32	18	a	a	DET
agb-192	32	19	significant	significant	ADJ
agb-192	32	20	role	role	NOUN
agb-192	32	21	in	in	ADP
agb-192	32	22	the	the	DET
agb-192	32	23	genesis	genesis	NOUN
agb-192	32	24	of	of	ADP
agb-192	32	25	disease	disease	NOUN
agb-192	32	26	.	.	PUNCT
agb-192	33	1	as	as	SCONJ
agb-192	33	2	depicted	depict	VERB
agb-192	33	3	in	in	ADP
agb-192	33	4	figure	figure	NOUN
agb-192	33	5	3	3	NUM
agb-192	33	6	,	,	PUNCT
agb-192	33	7	microorganisms	microorganism	NOUN
agb-192	33	8	such	such	ADJ
agb-192	33	9	as	as	ADP
agb-192	33	10	fungi	fungus	NOUN
agb-192	33	11	,	,	PUNCT
agb-192	33	12	viruses	virus	NOUN
agb-192	33	13	,	,	PUNCT
agb-192	33	14	bacteria	bacteria	NOUN
agb-192	33	15	,	,	PUNCT
agb-192	33	16	parasites	parasite	NOUN
agb-192	33	17	,	,	PUNCT
agb-192	33	18	mailto:gs62785@student.upm.edu.my	mailto:gs62785@student.upm.edu.my	NOUN
agb-192	33	19	mailto:saihong@upm.edu.my	mailto:saihong@upm.edu.my	X
agb-192	33	20	mailto:khairol@upm.edu.my	mailto:khairol@upm.edu.my	PROPN
agb-192	33	21	mailto:ms_idris@upm.edu.my	mailto:ms_idris@upm.edu.my	PROPN
agb-192	33	22	agbioforum	agbioforum	PROPN
agb-192	33	23	,	,	PUNCT
agb-192	33	24	25(1	25(1	NUM
agb-192	33	25	)	)	PUNCT
agb-192	33	26	,	,	PUNCT
agb-192	33	27	2023	2023	NUM
agb-192	33	28	|	|	ADV
agb-192	33	29	59	59	NUM
agb-192	33	30	xinming	xinming	NOUN
agb-192	33	31	,	,	PUNCT
agb-192	33	32	hong	hong	PROPN
agb-192	33	33	,	,	PUNCT
agb-192	33	34	mohd	mohd	PROPN
agb-192	33	35	ariffin	ariffin	NOUN
agb-192	33	36	,	,	PUNCT
agb-192	33	37	ismail	ismail	PROPN
agb-192	33	38	.	.	PUNCT
agb-192	34	1	—	—	PUNCT
agb-192	34	2	comparative	comparative	ADJ
agb-192	34	3	study	study	NOUN
agb-192	34	4	on	on	ADP
agb-192	34	5	leaf	leaf	NOUN
agb-192	34	6	disease	disease	NOUN
agb-192	34	7	identification	identification	NOUN
agb-192	34	8	using	use	VERB
agb-192	34	9	yolo	yolo	ADJ
agb-192	34	10	v4	v4	NOUN
agb-192	34	11	and	and	CCONJ
agb-192	34	12	yolo	yolo	ADJ
agb-192	34	13	v7	v7	VERB
agb-192	34	14	algorithm	algorithm	NOUN
agb-192	34	15	and	and	CCONJ
agb-192	34	16	nematodes	nematode	NOUN
agb-192	34	17	cause	cause	VERB
agb-192	34	18	infections	infection	NOUN
agb-192	34	19	and	and	CCONJ
agb-192	34	20	diseases	disease	NOUN
agb-192	34	21	in	in	ADP
agb-192	34	22	various	various	ADJ
agb-192	34	23	plant	plant	NOUN
agb-192	34	24	parts	part	NOUN
agb-192	34	25	(	(	PUNCT
agb-192	34	26	anderson	anderson	PROPN
agb-192	34	27	et	et	PROPN
agb-192	34	28	al	al	PROPN
agb-192	34	29	.	.	PROPN
agb-192	34	30	,	,	PUNCT
agb-192	34	31	2004	2004	NUM
agb-192	34	32	)	)	PUNCT
agb-192	34	33	.	.	PUNCT
agb-192	35	1	monitoring	monitor	VERB
agb-192	35	2	conditions	condition	NOUN
agb-192	35	3	such	such	ADJ
agb-192	35	4	as	as	ADP
agb-192	35	5	spotted	spot	VERB
agb-192	35	6	leaves	leave	NOUN
agb-192	35	7	,	,	PUNCT
agb-192	35	8	leaf	leaf	NOUN
agb-192	35	9	exfoliation	exfoliation	NOUN
agb-192	35	10	,	,	PUNCT
agb-192	35	11	ulceration	ulceration	NOUN
agb-192	35	12	,	,	PUNCT
agb-192	35	13	rots	rot	VERB
agb-192	35	14	,	,	PUNCT
agb-192	35	15	alterations	alteration	NOUN
agb-192	35	16	in	in	ADP
agb-192	35	17	leaf	leaf	NOUN
agb-192	35	18	structure	structure	NOUN
agb-192	35	19	,	,	PUNCT
agb-192	35	20	anthracnose	anthracnose	PROPN
agb-192	35	21	,	,	PUNCT
agb-192	35	22	etc	etc	X
agb-192	35	23	.	.	X
agb-192	35	24	,	,	PUNCT
agb-192	35	25	makes	make	VERB
agb-192	35	26	it	it	PRON
agb-192	35	27	simple	simple	ADJ
agb-192	35	28	to	to	PART
agb-192	35	29	identify	identify	VERB
agb-192	35	30	infected	infected	ADJ
agb-192	35	31	plants	plant	NOUN
agb-192	35	32	.	.	PUNCT
agb-192	36	1	in	in	ADP
agb-192	36	2	addition	addition	NOUN
agb-192	36	3	to	to	ADP
agb-192	36	4	affecting	affect	VERB
agb-192	36	5	the	the	DET
agb-192	36	6	quality	quality	NOUN
agb-192	36	7	,	,	PUNCT
agb-192	36	8	the	the	DET
agb-192	36	9	damage	damage	NOUN
agb-192	36	10	caused	cause	VERB
agb-192	36	11	by	by	ADP
agb-192	36	12	these	these	DET
agb-192	36	13	infections	infection	NOUN
agb-192	36	14	inevitably	inevitably	ADV
agb-192	36	15	reduces	reduce	VERB
agb-192	36	16	productivity	productivity	NOUN
agb-192	36	17	.	.	PUNCT
agb-192	37	1	consequently	consequently	ADV
agb-192	37	2	,	,	PUNCT
agb-192	37	3	the	the	DET
agb-192	37	4	agricultural	agricultural	ADJ
agb-192	37	5	sector	sector	NOUN
agb-192	37	6	is	be	AUX
agb-192	37	7	adopting	adopt	VERB
agb-192	37	8	modern	modern	ADJ
agb-192	37	9	agricultural	agricultural	ADJ
agb-192	37	10	practices	practice	NOUN
agb-192	37	11	with	with	ADP
agb-192	37	12	technologies	technology	NOUN
agb-192	37	13	such	such	ADJ
agb-192	37	14	as	as	ADP
agb-192	37	15	agriculture	agriculture	NOUN
agb-192	37	16	4.0	4.0	NUM
agb-192	37	17	,	,	PUNCT
agb-192	37	18	precision	precision	NOUN
agb-192	37	19	agriculture	agriculture	NOUN
agb-192	37	20	(	(	PUNCT
agb-192	37	21	pa	pa	PROPN
agb-192	37	22	)	)	PUNCT
agb-192	37	23	,	,	PUNCT
agb-192	37	24	and	and	CCONJ
agb-192	37	25	others	other	NOUN
agb-192	37	26	.	.	PUNCT
agb-192	38	1	fig	fig	NOUN
agb-192	38	2	3	3	NUM
agb-192	38	3	:	:	PUNCT
agb-192	38	4	genesis	genesis	NOUN
agb-192	38	5	of	of	ADP
agb-192	38	6	plant	plant	NOUN
agb-192	38	7	diseases	disease	NOUN
agb-192	38	8	shafi	shafi	PROPN
agb-192	38	9	et	et	PROPN
agb-192	38	10	al	al	PROPN
agb-192	38	11	.	.	PROPN
agb-192	39	1	(	(	PUNCT
agb-192	39	2	2019	2019	NUM
agb-192	39	3	)	)	PUNCT
agb-192	39	4	precision	precision	NOUN
agb-192	39	5	agriculture	agriculture	NOUN
agb-192	39	6	concentrates	concentrate	VERB
agb-192	39	7	on	on	ADP
agb-192	39	8	a	a	DET
agb-192	39	9	holistic	holistic	ADJ
agb-192	39	10	approach	approach	NOUN
agb-192	39	11	to	to	ADP
agb-192	39	12	agricultural	agricultural	ADJ
agb-192	39	13	management	management	NOUN
agb-192	39	14	that	that	PRON
agb-192	39	15	combines	combine	VERB
agb-192	39	16	spatial	spatial	ADJ
agb-192	39	17	,	,	PUNCT
agb-192	39	18	temporal	temporal	ADJ
agb-192	39	19	,	,	PUNCT
agb-192	39	20	and	and	CCONJ
agb-192	39	21	individual	individual	ADJ
agb-192	39	22	data	datum	NOUN
agb-192	39	23	with	with	ADP
agb-192	39	24	other	other	ADJ
agb-192	39	25	pertinent	pertinent	ADJ
agb-192	39	26	information	information	NOUN
agb-192	39	27	to	to	PART
agb-192	39	28	manage	manage	VERB
agb-192	39	29	crops	crop	NOUN
agb-192	39	30	effectively	effectively	ADV
agb-192	39	31	.	.	PUNCT
agb-192	40	1	pa	pa	PROPN
agb-192	40	2	would	would	AUX
agb-192	40	3	result	result	VERB
agb-192	40	4	in	in	ADP
agb-192	40	5	increased	increase	VERB
agb-192	40	6	productivity	productivity	NOUN
agb-192	40	7	,	,	PUNCT
agb-192	40	8	efficiency	efficiency	NOUN
agb-192	40	9	,	,	PUNCT
agb-192	40	10	profitability	profitability	NOUN
agb-192	40	11	,	,	PUNCT
agb-192	40	12	and	and	CCONJ
agb-192	40	13	quality	quality	NOUN
agb-192	40	14	(	(	PUNCT
agb-192	40	15	cisternas	cisternas	PROPN
agb-192	40	16	,	,	PUNCT
agb-192	40	17	velásquez	velásquez	NOUN
agb-192	40	18	,	,	PUNCT
agb-192	40	19	caro	caro	NOUN
agb-192	40	20	,	,	PUNCT
agb-192	40	21	&	&	CCONJ
agb-192	40	22	rodríguez	rodríguez	PROPN
agb-192	40	23	,	,	PUNCT
agb-192	40	24	2020	2020	NUM
agb-192	40	25	)	)	PUNCT
agb-192	40	26	.	.	PUNCT
agb-192	41	1	the	the	DET
agb-192	41	2	pa	pa	PROPN
agb-192	41	3	has	have	AUX
agb-192	41	4	encouraged	encourage	VERB
agb-192	41	5	using	use	VERB
agb-192	41	6	digital	digital	ADJ
agb-192	41	7	and	and	CCONJ
agb-192	41	8	analytical	analytical	ADJ
agb-192	41	9	instruments	instrument	NOUN
agb-192	41	10	in	in	ADP
agb-192	41	11	agricultural	agricultural	ADJ
agb-192	41	12	settings	setting	NOUN
agb-192	41	13	.	.	PUNCT
agb-192	42	1	after	after	ADP
agb-192	42	2	the	the	DET
agb-192	42	3	introduction	introduction	NOUN
agb-192	42	4	of	of	ADP
agb-192	42	5	data	data	NOUN
agb-192	42	6	-	-	PUNCT
agb-192	42	7	driven	drive	VERB
agb-192	42	8	technologies	technology	NOUN
agb-192	42	9	such	such	ADJ
agb-192	42	10	as	as	ADP
agb-192	42	11	computer	computer	NOUN
agb-192	42	12	vision	vision	NOUN
agb-192	42	13	(	(	PUNCT
agb-192	42	14	cv	cv	PROPN
agb-192	42	15	)	)	PUNCT
agb-192	42	16	,	,	PUNCT
agb-192	42	17	machine	machine	NOUN
agb-192	42	18	learning	learning	NOUN
agb-192	42	19	(	(	PUNCT
agb-192	42	20	ml	ml	NOUN
agb-192	42	21	)	)	PUNCT
agb-192	42	22	,	,	PUNCT
agb-192	42	23	internet	internet	NOUN
agb-192	42	24	of	of	ADP
agb-192	42	25	things	thing	NOUN
agb-192	42	26	(	(	PUNCT
agb-192	42	27	iot	iot	NOUN
agb-192	42	28	)	)	PUNCT
agb-192	42	29	,	,	PUNCT
agb-192	42	30	deep	deep	ADJ
agb-192	42	31	learning	learning	NOUN
agb-192	42	32	(	(	PUNCT
agb-192	42	33	dl	dl	NOUN
agb-192	42	34	)	)	PUNCT
agb-192	42	35	,	,	PUNCT
agb-192	42	36	and	and	CCONJ
agb-192	42	37	big	big	ADJ
agb-192	42	38	data	datum	NOUN
agb-192	42	39	analytics	analytic	NOUN
agb-192	42	40	in	in	ADP
agb-192	42	41	the	the	DET
agb-192	42	42	farming	farming	NOUN
agb-192	42	43	-	-	PUNCT
agb-192	42	44	based	base	VERB
agb-192	42	45	decision	decision	NOUN
agb-192	42	46	-	-	PUNCT
agb-192	42	47	making	make	VERB
agb-192	42	48	process	process	NOUN
agb-192	42	49	,	,	PUNCT
agb-192	42	50	the	the	DET
agb-192	42	51	agricultural	agricultural	ADJ
agb-192	42	52	sector	sector	NOUN
agb-192	42	53	has	have	AUX
agb-192	42	54	experienced	experience	VERB
agb-192	42	55	explosive	explosive	ADJ
agb-192	42	56	growth	growth	NOUN
agb-192	42	57	(	(	PUNCT
agb-192	42	58	aravindhan	aravindhan	NOUN
agb-192	42	59	&	&	CCONJ
agb-192	42	60	tamjis	tamjis	PROPN
agb-192	42	61	,	,	PUNCT
agb-192	42	62	2022	2022	NUM
agb-192	42	63	;	;	PUNCT
agb-192	42	64	sharanya	sharanya	PROPN
agb-192	42	65	,	,	PUNCT
agb-192	42	66	venkataraman	venkataraman	NOUN
agb-192	42	67	,	,	PUNCT
agb-192	42	68	&	&	CCONJ
agb-192	42	69	murali	murali	ADJ
agb-192	42	70	,	,	PUNCT
agb-192	42	71	2021	2021	NUM
agb-192	42	72	)	)	PUNCT
agb-192	42	73	.	.	PUNCT
agb-192	43	1	fig	fig	NOUN
agb-192	43	2	4	4	NUM
agb-192	43	3	:	:	PUNCT
agb-192	43	4	applications	application	NOUN
agb-192	43	5	of	of	ADP
agb-192	43	6	computer	computer	NOUN
agb-192	43	7	applications	application	NOUN
agb-192	43	8	in	in	ADP
agb-192	43	9	precision	precision	NOUN
agb-192	43	10	agriculture	agriculture	NOUN
agb-192	43	11	according	accord	VERB
agb-192	43	12	to	to	ADP
agb-192	43	13	the	the	DET
agb-192	43	14	literature	literature	NOUN
agb-192	43	15	,	,	PUNCT
agb-192	43	16	cv	cv	PROPN
agb-192	43	17	algorithms	algorithm	NOUN
agb-192	43	18	are	be	AUX
agb-192	43	19	utilized	utilize	VERB
agb-192	43	20	in	in	ADP
agb-192	43	21	plant	plant	NOUN
agb-192	43	22	health	health	NOUN
agb-192	43	23	monitoring	monitoring	NOUN
agb-192	43	24	,	,	PUNCT
agb-192	43	25	harvesting	harvesting	NOUN
agb-192	43	26	,	,	PUNCT
agb-192	43	27	pruning	pruning	NOUN
agb-192	43	28	,	,	PUNCT
agb-192	43	29	planting	planting	NOUN
agb-192	43	30	,	,	PUNCT
agb-192	43	31	and	and	CCONJ
agb-192	43	32	weather	weather	NOUN
agb-192	43	33	analysis	analysis	NOUN
agb-192	43	34	.	.	PUNCT
agb-192	44	1	cv	cv	PROPN
agb-192	44	2	is	be	AUX
agb-192	44	3	an	an	DET
agb-192	44	4	ai	ai	NOUN
agb-192	44	5	subfield	subfield	NOUN
agb-192	44	6	that	that	PRON
agb-192	44	7	enables	enable	VERB
agb-192	44	8	machines	machine	NOUN
agb-192	44	9	to	to	PART
agb-192	44	10	analyze	analyze	VERB
agb-192	44	11	,	,	PUNCT
agb-192	44	12	interpret	interpret	VERB
agb-192	44	13	,	,	PUNCT
agb-192	44	14	and	and	CCONJ
agb-192	44	15	visualize	visualize	VERB
agb-192	44	16	data	datum	NOUN
agb-192	44	17	.	.	PUNCT
agb-192	45	1	incorporating	incorporate	VERB
agb-192	45	2	cv	cv	PROPN
agb-192	45	3	into	into	ADP
agb-192	45	4	the	the	DET
agb-192	45	5	agricultural	agricultural	ADJ
agb-192	45	6	sector	sector	NOUN
agb-192	45	7	is	be	AUX
agb-192	45	8	a	a	DET
agb-192	45	9	gamechanger	gamechanger	NOUN
agb-192	45	10	that	that	PRON
agb-192	45	11	enables	enable	VERB
agb-192	45	12	automated	automate	VERB
agb-192	45	13	agricultural	agricultural	ADJ
agb-192	45	14	processing	processing	NOUN
agb-192	45	15	(	(	PUNCT
agb-192	45	16	lu	lu	PROPN
agb-192	45	17	&	&	CCONJ
agb-192	45	18	young	young	ADJ
agb-192	45	19	,	,	PUNCT
agb-192	45	20	2020	2020	NUM
agb-192	45	21	)	)	PUNCT
agb-192	45	22	.	.	PUNCT
agb-192	46	1	the	the	DET
agb-192	46	2	use	use	NOUN
agb-192	46	3	of	of	ADP
agb-192	46	4	cv	cv	PROPN
agb-192	46	5	algorithms	algorithm	NOUN
agb-192	46	6	enables	enable	VERB
agb-192	46	7	producers	producer	NOUN
agb-192	46	8	to	to	PART
agb-192	46	9	make	make	VERB
agb-192	46	10	informed	informed	ADJ
agb-192	46	11	decisions	decision	NOUN
agb-192	46	12	.	.	PUNCT
agb-192	47	1	when	when	SCONJ
agb-192	47	2	satellite	satellite	NOUN
agb-192	47	3	and	and	CCONJ
agb-192	47	4	geospatial	geospatial	ADJ
agb-192	47	5	images	image	NOUN
agb-192	47	6	were	be	AUX
agb-192	47	7	incorporated	incorporate	VERB
agb-192	47	8	into	into	ADP
agb-192	47	9	the	the	DET
agb-192	47	10	research	research	NOUN
agb-192	47	11	,	,	PUNCT
agb-192	47	12	technological	technological	ADJ
agb-192	47	13	advancements	advancement	NOUN
agb-192	47	14	attained	attain	VERB
agb-192	47	15	their	their	PRON
agb-192	47	16	pinnacle	pinnacle	NOUN
agb-192	47	17	(	(	PUNCT
agb-192	47	18	jia	jia	PROPN
agb-192	47	19	liu	liu	PROPN
agb-192	47	20	et	et	PROPN
agb-192	47	21	al	al	PROPN
agb-192	47	22	.	.	PROPN
agb-192	47	23	,	,	PUNCT
agb-192	47	24	2021	2021	NUM
agb-192	47	25	)	)	PUNCT
agb-192	47	26	.	.	PUNCT
agb-192	48	1	figure	figure	VERB
agb-192	48	2	4	4	NUM
agb-192	48	3	depicts	depict	VERB
agb-192	48	4	the	the	DET
agb-192	48	5	most	most	ADV
agb-192	48	6	prevalent	prevalent	ADJ
agb-192	48	7	agrovision	agrovision	NOUN
agb-192	48	8	applications	application	NOUN
agb-192	48	9	in	in	ADP
agb-192	48	10	pennsylvania	pennsylvania	PROPN
agb-192	48	11	.	.	PUNCT
agb-192	49	1	as	as	SCONJ
agb-192	49	2	cv	cv	PROPN
agb-192	49	3	systems	system	NOUN
agb-192	49	4	ensure	ensure	VERB
agb-192	49	5	non	non	ADJ
agb-192	49	6	-	-	ADJ
agb-192	49	7	destructive	destructive	ADJ
agb-192	49	8	,	,	PUNCT
agb-192	49	9	non	non	ADJ
agb-192	49	10	-	-	ADJ
agb-192	49	11	intrusive	intrusive	ADJ
agb-192	49	12	,	,	PUNCT
agb-192	49	13	and	and	CCONJ
agb-192	49	14	non	non	ADJ
agb-192	49	15	-	-	ADJ
agb-192	49	16	invasive	invasive	ADJ
agb-192	49	17	procedures	procedure	NOUN
agb-192	49	18	,	,	PUNCT
agb-192	49	19	particularly	particularly	ADV
agb-192	49	20	for	for	ADP
agb-192	49	21	image	image	NOUN
agb-192	49	22	-	-	PUNCT
agb-192	49	23	based	base	VERB
agb-192	49	24	issues	issue	NOUN
agb-192	49	25	,	,	PUNCT
agb-192	49	26	they	they	PRON
agb-192	49	27	are	be	AUX
agb-192	49	28	readily	readily	ADV
agb-192	49	29	implemented	implement	VERB
agb-192	49	30	in	in	ADP
agb-192	49	31	agriculture	agriculture	NOUN
agb-192	49	32	.	.	PUNCT
agb-192	50	1	in	in	ADP
agb-192	50	2	addition	addition	NOUN
agb-192	50	3	,	,	PUNCT
agb-192	50	4	it	it	PRON
agb-192	50	5	can	can	AUX
agb-192	50	6	record	record	VERB
agb-192	50	7	and	and	CCONJ
agb-192	50	8	store	store	NOUN
agb-192	50	9	data	datum	NOUN
agb-192	50	10	for	for	ADP
agb-192	50	11	an	an	DET
agb-192	50	12	extended	extended	ADJ
agb-192	50	13	period	period	NOUN
agb-192	50	14	of	of	ADP
agb-192	50	15	time	time	NOUN
agb-192	50	16	,	,	PUNCT
agb-192	50	17	allowing	allow	VERB
agb-192	50	18	it	it	PRON
agb-192	50	19	to	to	PART
agb-192	50	20	be	be	AUX
agb-192	50	21	utilized	utilize	VERB
agb-192	50	22	in	in	ADP
agb-192	50	23	the	the	DET
agb-192	50	24	near	near	ADJ
agb-192	50	25	future	future	NOUN
agb-192	50	26	(	(	PUNCT
agb-192	50	27	firdaus	firdaus	PROPN
agb-192	50	28	&	&	CCONJ
agb-192	50	29	kamil	kamil	PROPN
agb-192	50	30	,	,	PUNCT
agb-192	50	31	2022	2022	NUM
agb-192	50	32	)	)	PUNCT
agb-192	50	33	.	.	PUNCT
agb-192	51	1	these	these	DET
agb-192	51	2	algorithms	algorithm	NOUN
agb-192	51	3	can	can	AUX
agb-192	51	4	supplant	supplant	VERB
agb-192	51	5	laborious	laborious	ADJ
agb-192	51	6	,	,	PUNCT
agb-192	51	7	inefficient	inefficient	ADJ
agb-192	51	8	,	,	PUNCT
agb-192	51	9	time	time	NOUN
agb-192	51	10	-	-	PUNCT
agb-192	51	11	consuming	consume	VERB
agb-192	51	12	,	,	PUNCT
agb-192	51	13	and	and	CCONJ
agb-192	51	14	inaccurate	inaccurate	ADJ
agb-192	51	15	manual	manual	ADJ
agb-192	51	16	inspection	inspection	NOUN
agb-192	51	17	(	(	PUNCT
agb-192	51	18	ratnayake	ratnayake	NOUN
agb-192	51	19	,	,	PUNCT
agb-192	51	20	dyer	dyer	NOUN
agb-192	51	21	,	,	PUNCT
agb-192	51	22	&	&	CCONJ
agb-192	51	23	dorin	dorin	NOUN
agb-192	51	24	,	,	PUNCT
agb-192	51	25	2021	2021	NUM
agb-192	51	26	)	)	PUNCT
agb-192	51	27	.	.	PUNCT
agb-192	52	1	this	this	DET
agb-192	52	2	more	more	ADV
agb-192	52	3	robust	robust	ADJ
agb-192	52	4	sensing	sense	VERB
agb-192	52	5	technology	technology	NOUN
agb-192	52	6	can	can	AUX
agb-192	52	7	be	be	AUX
agb-192	52	8	used	use	VERB
agb-192	52	9	to	to	PART
agb-192	52	10	monitor	monitor	VERB
agb-192	52	11	numerous	numerous	ADJ
agb-192	52	12	agricultural	agricultural	ADJ
agb-192	52	13	areas	area	NOUN
agb-192	52	14	because	because	SCONJ
agb-192	52	15	cv	cv	PROPN
agb-192	52	16	algorithms	algorithm	NOUN
agb-192	52	17	rely	rely	VERB
agb-192	52	18	on	on	ADP
agb-192	52	19	the	the	DET
agb-192	52	20	three	three	NUM
agb-192	52	21	fundamental	fundamental	ADJ
agb-192	52	22	phases	phase	NOUN
agb-192	52	23	of	of	ADP
agb-192	52	24	cv	cv	PROPN
agb-192	52	25	,	,	PUNCT
agb-192	52	26	which	which	PRON
agb-192	52	27	consist	consist	VERB
agb-192	52	28	of	of	ADP
agb-192	52	29	image	image	NOUN
agb-192	52	30	collection	collection	NOUN
agb-192	52	31	from	from	ADP
agb-192	52	32	a	a	DET
agb-192	52	33	live	live	ADJ
agb-192	52	34	camera	camera	NOUN
agb-192	52	35	feed	feed	NOUN
agb-192	52	36	or	or	CCONJ
agb-192	52	37	recorded	record	VERB
agb-192	52	38	source	source	NOUN
agb-192	52	39	,	,	PUNCT
agb-192	52	40	image	image	NOUN
agb-192	52	41	processing	processing	NOUN
agb-192	52	42	,	,	PUNCT
agb-192	52	43	and	and	CCONJ
agb-192	52	44	image	image	NOUN
agb-192	52	45	analysis	analysis	NOUN
agb-192	52	46	.	.	PUNCT
agb-192	53	1	fig	fig	NOUN
agb-192	53	2	5	5	NUM
agb-192	53	3	:	:	PUNCT
agb-192	53	4	types	type	NOUN
agb-192	53	5	of	of	ADP
agb-192	53	6	cv	cv	PROPN
agb-192	53	7	problems	problem	NOUN
agb-192	53	8	the	the	DET
agb-192	53	9	identification	identification	NOUN
agb-192	53	10	or	or	CCONJ
agb-192	53	11	detection	detection	NOUN
agb-192	53	12	of	of	ADP
agb-192	53	13	an	an	DET
agb-192	53	14	image	image	NOUN
agb-192	53	15	verifies	verifie	NOUN
agb-192	53	16	whether	whether	SCONJ
agb-192	53	17	the	the	DET
agb-192	53	18	object	object	NOUN
agb-192	53	19	in	in	ADP
agb-192	53	20	the	the	DET
agb-192	53	21	image	image	NOUN
agb-192	53	22	conforms	conform	VERB
agb-192	53	23	to	to	ADP
agb-192	53	24	a	a	DET
agb-192	53	25	pattern	pattern	NOUN
agb-192	53	26	described	describe	VERB
agb-192	53	27	in	in	ADP
agb-192	53	28	the	the	DET
agb-192	53	29	source	source	NOUN
agb-192	53	30	.	.	PUNCT
agb-192	54	1	this	this	DET
agb-192	54	2	validation	validation	NOUN
agb-192	54	3	is	be	AUX
agb-192	54	4	based	base	VERB
agb-192	54	5	on	on	ADP
agb-192	54	6	the	the	DET
agb-192	54	7	similarity	similarity	NOUN
agb-192	54	8	measure	measure	NOUN
agb-192	54	9	of	of	ADP
agb-192	54	10	the	the	DET
agb-192	54	11	extracted	extract	VERB
agb-192	54	12	features	feature	NOUN
agb-192	54	13	of	of	ADP
agb-192	54	14	the	the	DET
agb-192	54	15	image	image	NOUN
agb-192	54	16	embeddings	embedding	NOUN
agb-192	54	17	(	(	PUNCT
agb-192	54	18	yuan	yuan	NOUN
agb-192	54	19	,	,	PUNCT
agb-192	54	20	chen	chen	PROPN
agb-192	54	21	,	,	PUNCT
agb-192	54	22	wu	wu	PROPN
agb-192	54	23	,	,	PUNCT
agb-192	54	24	&	&	CCONJ
agb-192	54	25	li	li	PROPN
agb-192	54	26	,	,	PUNCT
agb-192	54	27	2022	2022	NUM
agb-192	54	28	)	)	PUNCT
agb-192	54	29	.	.	PUNCT
agb-192	55	1	object	object	NOUN
agb-192	55	2	detection	detection	NOUN
agb-192	55	3	algorithms	algorithm	NOUN
agb-192	55	4	,	,	PUNCT
agb-192	55	5	conversely	conversely	ADV
agb-192	55	6	,	,	PUNCT
agb-192	55	7	are	be	AUX
agb-192	55	8	a	a	DET
agb-192	55	9	step	step	NOUN
agb-192	55	10	ahead	ahead	ADV
agb-192	55	11	by	by	ADP
agb-192	55	12	determining	determine	VERB
agb-192	55	13	the	the	DET
agb-192	55	14	coordinates	coordinate	NOUN
agb-192	55	15	or	or	CCONJ
agb-192	55	16	exact	exact	ADJ
agb-192	55	17	locations	location	NOUN
agb-192	55	18	of	of	ADP
agb-192	55	19	objects	object	NOUN
agb-192	55	20	that	that	PRON
agb-192	55	21	fit	fit	VERB
agb-192	55	22	under	under	ADP
agb-192	55	23	a	a	DET
agb-192	55	24	specific	specific	ADJ
agb-192	55	25	class	class	NOUN
agb-192	55	26	label	label	NOUN
agb-192	55	27	(	(	PUNCT
agb-192	55	28	persello	persello	PROPN
agb-192	55	29	,	,	PUNCT
agb-192	55	30	tolpekin	tolpekin	NOUN
agb-192	55	31	,	,	PUNCT
agb-192	55	32	bergado	bergado	NOUN
agb-192	55	33	,	,	PUNCT
agb-192	55	34	&	&	CCONJ
agb-192	55	35	de	de	X
agb-192	55	36	by	by	ADP
agb-192	55	37	,	,	PUNCT
agb-192	55	38	2019	2019	NUM
agb-192	55	39	)	)	PUNCT
agb-192	55	40	.	.	PUNCT
agb-192	56	1	the	the	DET
agb-192	56	2	classification	classification	NOUN
agb-192	56	3	of	of	ADP
agb-192	56	4	an	an	DET
agb-192	56	5	image	image	NOUN
agb-192	56	6	assigns	assign	VERB
agb-192	56	7	the	the	DET
agb-192	56	8	object	object	NOUN
agb-192	56	9	to	to	ADP
agb-192	56	10	a	a	DET
agb-192	56	11	specific	specific	ADJ
agb-192	56	12	class	class	NOUN
agb-192	56	13	label	label	NOUN
agb-192	56	14	(	(	PUNCT
agb-192	56	15	hashemi	hashemi	NOUN
agb-192	56	16	-	-	PUNCT
agb-192	56	17	beni	beni	PROPN
agb-192	56	18	&	&	CCONJ
agb-192	56	19	gebrehiwot	gebrehiwot	NOUN
agb-192	56	20	,	,	PUNCT
agb-192	56	21	2020	2020	NUM
agb-192	56	22	)	)	PUNCT
agb-192	56	23	.	.	PUNCT
agb-192	57	1	cv	cv	PROPN
agb-192	57	2	algorithms	algorithm	NOUN
agb-192	57	3	can	can	AUX
agb-192	57	4	detect	detect	VERB
agb-192	57	5	multiple	multiple	ADJ
agb-192	57	6	objects	object	NOUN
agb-192	57	7	within	within	ADP
agb-192	57	8	a	a	DET
agb-192	57	9	single	single	ADJ
agb-192	57	10	image	image	NOUN
agb-192	57	11	.	.	PUNCT
agb-192	58	1	cv	cv	PROPN
agb-192	58	2	algorithms	algorithm	NOUN
agb-192	58	3	can	can	AUX
agb-192	58	4	perform	perform	VERB
agb-192	58	5	semantic	semantic	ADJ
agb-192	58	6	segmentation	segmentation	NOUN
agb-192	58	7	to	to	PART
agb-192	58	8	comprehend	comprehend	VERB
agb-192	58	9	the	the	DET
agb-192	58	10	image	image	NOUN
agb-192	58	11	's	's	PART
agb-192	58	12	context	context	NOUN
agb-192	58	13	or	or	CCONJ
agb-192	58	14	scenic	scenic	ADJ
agb-192	58	15	information	information	NOUN
agb-192	58	16	(	(	PUNCT
agb-192	58	17	anand	anand	PROPN
agb-192	58	18	,	,	PUNCT
agb-192	58	19	sinha	sinha	NOUN
agb-192	58	20	,	,	PUNCT
agb-192	58	21	mandal	mandal	PROPN
agb-192	58	22	,	,	PUNCT
agb-192	58	23	chamola	chamola	PROPN
agb-192	58	24	,	,	PUNCT
agb-192	58	25	&	&	CCONJ
agb-192	58	26	yu	yu	PROPN
agb-192	58	27	,	,	PUNCT
agb-192	58	28	2021	2021	NUM
agb-192	58	29	;	;	PUNCT
agb-192	58	30	chai	chai	NOUN
agb-192	58	31	,	,	PUNCT
agb-192	58	32	zeng	zeng	PROPN
agb-192	58	33	,	,	PUNCT
agb-192	58	34	li	li	PROPN
agb-192	58	35	,	,	PUNCT
agb-192	58	36	&	&	CCONJ
agb-192	58	37	ngai	ngai	PROPN
agb-192	58	38	,	,	PUNCT
agb-192	58	39	2021	2021	NUM
agb-192	58	40	)	)	PUNCT
agb-192	58	41	.	.	PUNCT
agb-192	59	1	powerful	powerful	ADJ
agb-192	59	2	dl	dl	PROPN
agb-192	59	3	algorithms	algorithm	NOUN
agb-192	59	4	are	be	AUX
agb-192	59	5	versatile	versatile	ADJ
agb-192	59	6	and	and	CCONJ
agb-192	59	7	robust	robust	ADJ
agb-192	59	8	and	and	CCONJ
agb-192	59	9	produce	produce	VERB
agb-192	59	10	more	more	ADV
agb-192	59	11	accurate	accurate	ADJ
agb-192	59	12	results	result	NOUN
agb-192	59	13	in	in	ADP
agb-192	59	14	nearly	nearly	ADV
agb-192	59	15	all	all	PRON
agb-192	59	16	real	real	ADJ
agb-192	59	17	-	-	PUNCT
agb-192	59	18	time	time	NOUN
agb-192	59	19	image	image	NOUN
agb-192	59	20	recognition	recognition	NOUN
agb-192	59	21	problems	problem	NOUN
agb-192	59	22	due	due	ADJ
agb-192	59	23	to	to	ADP
agb-192	59	24	their	their	PRON
agb-192	59	25	adaptability	adaptability	NOUN
agb-192	59	26	and	and	CCONJ
agb-192	59	27	durability	durability	NOUN
agb-192	59	28	.	.	PUNCT
agb-192	60	1	deep	deep	ADJ
agb-192	60	2	genesis	genesis	NOUN
agb-192	60	3	of	of	ADP
agb-192	60	4	plant	plant	NOUN
agb-192	60	5	leaf	leaf	NOUN
agb-192	60	6	disease	disease	NOUN
agb-192	60	7	biotic	biotic	ADJ
agb-192	60	8	factors	factor	NOUN
agb-192	60	9	•	•	NUM
agb-192	60	10	virus	virus	NOUN
agb-192	60	11	•	•	ADP
agb-192	60	12	bacteria	bacteria	NOUN
agb-192	60	13	•	•	ADP
agb-192	60	14	fungal	fungal	ADJ
agb-192	60	15	infections	infection	NOUN
agb-192	60	16	•	•	ADP
agb-192	60	17	nematodes	nematode	NOUN
agb-192	60	18	•	•	ADP
agb-192	60	19	algal	algal	ADJ
agb-192	60	20	growth	growth	NOUN
agb-192	60	21	•	•	NOUN
agb-192	60	22	protozoans	protozoan	NOUN
agb-192	60	23	•	•	PRON
agb-192	60	24	parasitic	parasitic	ADJ
agb-192	60	25	plant	plant	NOUN
agb-192	60	26	growth	growth	NOUN
agb-192	60	27	abiotic	abiotic	ADJ
agb-192	60	28	factors	factor	NOUN
agb-192	60	29	•	•	ADP
agb-192	60	30	insufficient	insufficient	ADJ
agb-192	60	31	nutrient	nutrient	NOUN
agb-192	60	32	levels	level	NOUN
agb-192	60	33	•	•	ADP
agb-192	60	34	overuse/	overuse/	NUM
agb-192	60	35	underuse	underuse	NOUN
agb-192	60	36	of	of	ADP
agb-192	60	37	pesticides	pesticide	NOUN
agb-192	60	38	•	•	NOUN
agb-192	60	39	impact	impact	NOUN
agb-192	60	40	of	of	ADP
agb-192	60	41	pollutants	pollutant	NOUN
agb-192	60	42	•	•	ADP
agb-192	60	43	inappropriate	inappropriate	ADJ
agb-192	60	44	climatic	climatic	ADJ
agb-192	60	45	conditions	condition	NOUN
agb-192	60	46	•	•	ADP
agb-192	60	47	imbalanced	imbalance	VERB
agb-192	60	48	soil	soil	NOUN
agb-192	60	49	moisture	moisture	NOUN
agb-192	60	50	level	level	NOUN
agb-192	60	51	types	type	NOUN
agb-192	60	52	of	of	ADP
agb-192	60	53	problems	problem	NOUN
agb-192	60	54	in	in	ADP
agb-192	60	55	computer	computer	NOUN
agb-192	60	56	vision	vision	NOUN
agb-192	60	57	image	image	NOUN
agb-192	60	58	classification	classification	NOUN
agb-192	60	59	classification	classification	NOUN
agb-192	60	60	and	and	CCONJ
agb-192	60	61	localization	localization	NOUN
agb-192	60	62	object	object	NOUN
agb-192	60	63	detection	detection	NOUN
agb-192	60	64	semantic	semantic	ADJ
agb-192	60	65	segmentation	segmentation	NOUN
agb-192	60	66	agbioforum	agbioforum	NOUN
agb-192	60	67	,	,	PUNCT
agb-192	60	68	25(1	25(1	NUM
agb-192	60	69	)	)	PUNCT
agb-192	60	70	,	,	PUNCT
agb-192	60	71	2023	2023	NUM
agb-192	60	72	|	|	ADV
agb-192	60	73	60	60	NUM
agb-192	60	74	xinming	xinme	VERB
agb-192	60	75	,	,	PUNCT
agb-192	60	76	hong	hong	PROPN
agb-192	60	77	,	,	PUNCT
agb-192	60	78	mohd	mohd	PROPN
agb-192	60	79	ariffin	ariffin	NOUN
agb-192	60	80	,	,	PUNCT
agb-192	60	81	ismail	ismail	PROPN
agb-192	60	82	.	.	PUNCT
agb-192	61	1	—	—	PUNCT
agb-192	61	2	comparative	comparative	ADJ
agb-192	61	3	study	study	NOUN
agb-192	61	4	on	on	ADP
agb-192	61	5	leaf	leaf	NOUN
agb-192	61	6	disease	disease	NOUN
agb-192	61	7	identification	identification	NOUN
agb-192	61	8	using	use	VERB
agb-192	61	9	yolo	yolo	ADJ
agb-192	61	10	v4	v4	NOUN
agb-192	61	11	and	and	CCONJ
agb-192	61	12	yolo	yolo	ADJ
agb-192	61	13	v7	v7	VERB
agb-192	61	14	algorithm	algorithm	NOUN
agb-192	61	15	neural	neural	ADJ
agb-192	61	16	networks	network	NOUN
agb-192	61	17	(	(	PUNCT
agb-192	61	18	dnn	dnn	PROPN
agb-192	61	19	)	)	PUNCT
agb-192	61	20	,	,	PUNCT
agb-192	61	21	convolutional	convolutional	ADJ
agb-192	61	22	neural	neural	ADJ
agb-192	61	23	networks	network	NOUN
agb-192	61	24	(	(	PUNCT
agb-192	61	25	cnn	cnn	PROPN
agb-192	61	26	)	)	PUNCT
agb-192	61	27	,	,	PUNCT
agb-192	61	28	resnet	resnet	NOUN
agb-192	61	29	,	,	PUNCT
agb-192	61	30	yolo	yolo	PROPN
agb-192	61	31	,	,	PUNCT
agb-192	61	32	rnn	rnn	PROPN
agb-192	61	33	-	-	PUNCT
agb-192	61	34	cnn	cnn	PROPN
agb-192	61	35	,	,	PUNCT
agb-192	61	36	inception	inception	ADJ
agb-192	61	37	net	net	NOUN
agb-192	61	38	,	,	PUNCT
agb-192	61	39	alexnet	alexnet	ADJ
agb-192	61	40	,	,	PUNCT
agb-192	61	41	lenet	lenet	NOUN
agb-192	61	42	,	,	PUNCT
agb-192	61	43	etc	etc	X
agb-192	61	44	.	.	X
agb-192	61	45	patrício	patrício	NOUN
agb-192	61	46	and	and	CCONJ
agb-192	61	47	rieder	rieder	NOUN
agb-192	61	48	(	(	PUNCT
agb-192	61	49	2018	2018	NUM
agb-192	61	50	)	)	PUNCT
agb-192	61	51	catalyzed	catalyze	VERB
agb-192	61	52	the	the	DET
agb-192	61	53	main	main	ADJ
agb-192	61	54	breakthrough	breakthrough	NOUN
agb-192	61	55	in	in	ADP
agb-192	61	56	cv	cv	PROPN
agb-192	61	57	.	.	PUNCT
agb-192	62	1	these	these	DET
agb-192	62	2	architectures	architecture	NOUN
agb-192	62	3	made	make	VERB
agb-192	62	4	it	it	PRON
agb-192	62	5	feasible	feasible	ADJ
agb-192	62	6	to	to	PART
agb-192	62	7	develop	develop	VERB
agb-192	62	8	cv	cv	NOUN
agb-192	62	9	and	and	CCONJ
agb-192	62	10	image	image	NOUN
agb-192	62	11	recognition	recognition	NOUN
agb-192	62	12	-	-	PUNCT
agb-192	62	13	based	base	VERB
agb-192	62	14	solutions	solution	NOUN
agb-192	62	15	for	for	ADP
agb-192	62	16	accurately	accurately	ADV
agb-192	62	17	identifying	identify	VERB
agb-192	62	18	,	,	PUNCT
agb-192	62	19	classifying	classify	VERB
agb-192	62	20	,	,	PUNCT
agb-192	62	21	and	and	CCONJ
agb-192	62	22	analyzing	analyze	VERB
agb-192	62	23	agricultural	agricultural	ADJ
agb-192	62	24	images	image	NOUN
agb-192	62	25	.	.	PUNCT
agb-192	63	1	2	2	X
agb-192	63	2	.	.	NOUN
agb-192	63	3	leaf	leaf	NOUN
agb-192	63	4	disease	disease	NOUN
agb-192	63	5	detection	detection	NOUN
agb-192	63	6	traditional	traditional	ADJ
agb-192	63	7	methods	method	NOUN
agb-192	63	8	for	for	ADP
agb-192	63	9	isolating	isolate	VERB
agb-192	63	10	and	and	CCONJ
agb-192	63	11	detecting	detect	VERB
agb-192	63	12	plant	plant	NOUN
agb-192	63	13	diseases	disease	NOUN
agb-192	63	14	rely	rely	VERB
agb-192	63	15	on	on	ADP
agb-192	63	16	agricultural	agricultural	ADJ
agb-192	63	17	specialists	specialist	NOUN
agb-192	63	18	'	'	PART
agb-192	63	19	manual	manual	ADJ
agb-192	63	20	experience	experience	NOUN
agb-192	63	21	and	and	CCONJ
agb-192	63	22	unaided	unaided	ADJ
agb-192	63	23	eye	eye	NOUN
agb-192	63	24	examination	examination	NOUN
agb-192	63	25	.	.	PUNCT
agb-192	64	1	this	this	PRON
agb-192	64	2	requires	require	VERB
agb-192	64	3	continuous	continuous	ADJ
agb-192	64	4	monitoring	monitoring	NOUN
agb-192	64	5	of	of	ADP
agb-192	64	6	plants	plant	NOUN
agb-192	64	7	,	,	PUNCT
agb-192	64	8	which	which	PRON
agb-192	64	9	is	be	AUX
agb-192	64	10	extremely	extremely	ADV
agb-192	64	11	monotonous	monotonous	ADJ
agb-192	64	12	,	,	PUNCT
agb-192	64	13	time	time	NOUN
agb-192	64	14	-	-	PUNCT
agb-192	64	15	consuming	consume	VERB
agb-192	64	16	,	,	PUNCT
agb-192	64	17	and	and	CCONJ
agb-192	64	18	inaccurate	inaccurate	ADJ
agb-192	64	19	.	.	PUNCT
agb-192	65	1	in	in	ADP
agb-192	65	2	addition	addition	NOUN
agb-192	65	3	,	,	PUNCT
agb-192	65	4	the	the	DET
agb-192	65	5	cost	cost	NOUN
agb-192	65	6	of	of	ADP
agb-192	65	7	the	the	DET
agb-192	65	8	manual	manual	ADJ
agb-192	65	9	inspection	inspection	NOUN
agb-192	65	10	in	in	ADP
agb-192	65	11	large	large	ADJ
agb-192	65	12	farms	farm	NOUN
agb-192	65	13	is	be	AUX
agb-192	65	14	quite	quite	ADV
agb-192	65	15	significant	significant	ADJ
agb-192	65	16	.	.	PUNCT
agb-192	66	1	in	in	ADP
agb-192	66	2	addition	addition	NOUN
agb-192	66	3	,	,	PUNCT
agb-192	66	4	a	a	DET
agb-192	66	5	limited	limited	ADJ
agb-192	66	6	number	number	NOUN
agb-192	66	7	of	of	ADP
agb-192	66	8	domain	domain	NOUN
agb-192	66	9	specialists	specialist	NOUN
agb-192	66	10	are	be	AUX
agb-192	66	11	available	available	ADJ
agb-192	66	12	for	for	ADP
agb-192	66	13	consultation	consultation	NOUN
agb-192	66	14	,	,	PUNCT
agb-192	66	15	which	which	PRON
agb-192	66	16	impacts	impact	VERB
agb-192	66	17	accessibility	accessibility	NOUN
agb-192	66	18	and	and	CCONJ
agb-192	66	19	increases	increase	NOUN
agb-192	66	20	waiting	wait	VERB
agb-192	66	21	times	time	NOUN
agb-192	66	22	(	(	PUNCT
agb-192	66	23	allahyari	allahyari	PROPN
agb-192	66	24	,	,	PUNCT
agb-192	66	25	mohammadzadeh	mohammadzadeh	PROPN
agb-192	66	26	,	,	PUNCT
agb-192	66	27	&	&	CCONJ
agb-192	66	28	nastis	nastis	PROPN
agb-192	66	29	,	,	PUNCT
agb-192	66	30	2016	2016	NUM
agb-192	66	31	)	)	PUNCT
agb-192	66	32	.	.	PUNCT
agb-192	67	1	under	under	ADP
agb-192	67	2	such	such	ADJ
agb-192	67	3	circumstances	circumstance	NOUN
agb-192	67	4	,	,	PUNCT
agb-192	67	5	the	the	DET
agb-192	67	6	disease	disease	NOUN
agb-192	67	7	may	may	AUX
agb-192	67	8	spread	spread	VERB
agb-192	67	9	and	and	CCONJ
agb-192	67	10	affect	affect	VERB
agb-192	67	11	a	a	DET
agb-192	67	12	significantly	significantly	ADV
agb-192	67	13	larger	large	ADJ
agb-192	67	14	area	area	NOUN
agb-192	67	15	of	of	ADP
agb-192	67	16	crops	crop	NOUN
agb-192	67	17	.	.	PUNCT
agb-192	68	1	consequently	consequently	ADV
agb-192	68	2	,	,	PUNCT
agb-192	68	3	automatic	automatic	ADJ
agb-192	68	4	surveillance	surveillance	NOUN
agb-192	68	5	of	of	ADP
agb-192	68	6	plants	plant	NOUN
agb-192	68	7	to	to	PART
agb-192	68	8	detect	detect	VERB
agb-192	68	9	the	the	DET
agb-192	68	10	presence	presence	NOUN
agb-192	68	11	of	of	ADP
agb-192	68	12	any	any	DET
agb-192	68	13	type	type	NOUN
agb-192	68	14	of	of	ADP
agb-192	68	15	disease	disease	NOUN
agb-192	68	16	is	be	AUX
agb-192	68	17	a	a	DET
agb-192	68	18	natural	natural	ADJ
agb-192	68	19	alternative	alternative	NOUN
agb-192	68	20	that	that	PRON
agb-192	68	21	would	would	AUX
agb-192	68	22	be	be	AUX
agb-192	68	23	much	much	ADV
agb-192	68	24	cheaper	cheap	ADJ
agb-192	68	25	and	and	CCONJ
agb-192	68	26	quicker	quick	ADJ
agb-192	68	27	,	,	PUNCT
agb-192	68	28	even	even	ADV
agb-192	68	29	for	for	ADP
agb-192	68	30	large	large	ADJ
agb-192	68	31	farms	farm	NOUN
agb-192	68	32	.	.	PUNCT
agb-192	69	1	automatic	automatic	ADJ
agb-192	69	2	plant	plant	NOUN
agb-192	69	3	leaf	leaf	NOUN
agb-192	69	4	disease	disease	NOUN
agb-192	69	5	detection	detection	NOUN
agb-192	69	6	is	be	AUX
agb-192	69	7	achieved	achieve	VERB
agb-192	69	8	by	by	ADP
agb-192	69	9	using	use	VERB
agb-192	69	10	machine	machine	NOUN
agb-192	69	11	vision	vision	NOUN
agb-192	69	12	algorithms	algorithm	NOUN
agb-192	69	13	to	to	PART
agb-192	69	14	provide	provide	VERB
agb-192	69	15	imagebased	imagebased	ADJ
agb-192	69	16	process	process	NOUN
agb-192	69	17	control	control	NOUN
agb-192	69	18	,	,	PUNCT
agb-192	69	19	monitoring	monitoring	NOUN
agb-192	69	20	,	,	PUNCT
agb-192	69	21	and	and	CCONJ
agb-192	69	22	guidance	guidance	VERB
agb-192	69	23	via	via	ADP
agb-192	69	24	appropriate	appropriate	ADJ
agb-192	69	25	decision	decision	NOUN
agb-192	69	26	support	support	NOUN
agb-192	69	27	systems	system	NOUN
agb-192	69	28	(	(	PUNCT
agb-192	69	29	sujatha	sujatha	PROPN
agb-192	69	30	,	,	PUNCT
agb-192	69	31	chatterjee	chatterjee	PROPN
agb-192	69	32	,	,	PUNCT
agb-192	69	33	jhanjhi	jhanjhi	PROPN
agb-192	69	34	,	,	PUNCT
agb-192	69	35	&	&	CCONJ
agb-192	69	36	brohi	brohi	PROPN
agb-192	69	37	,	,	PUNCT
agb-192	69	38	2021	2021	NUM
agb-192	69	39	)	)	PUNCT
agb-192	69	40	.	.	PUNCT
agb-192	70	1	the	the	DET
agb-192	70	2	entire	entire	ADJ
agb-192	70	3	procedure	procedure	NOUN
agb-192	70	4	is	be	AUX
agb-192	70	5	depicted	depict	VERB
agb-192	70	6	in	in	ADP
agb-192	70	7	figure	figure	NOUN
agb-192	70	8	7	7	NUM
agb-192	70	9	.	.	PUNCT
agb-192	71	1	consequently	consequently	ADV
agb-192	71	2	,	,	PUNCT
agb-192	71	3	contemporary	contemporary	ADJ
agb-192	71	4	technologies	technology	NOUN
agb-192	71	5	such	such	ADJ
agb-192	71	6	as	as	ADP
agb-192	71	7	iot	iot	NOUN
agb-192	71	8	,	,	PUNCT
agb-192	71	9	ml	ml	NOUN
agb-192	71	10	,	,	PUNCT
agb-192	71	11	dl	dl	PROPN
agb-192	71	12	,	,	PUNCT
agb-192	71	13	bda	bda	PROPN
agb-192	71	14	,	,	PUNCT
agb-192	71	15	and	and	CCONJ
agb-192	71	16	cloud	cloud	NOUN
agb-192	71	17	computing	computing	NOUN
agb-192	71	18	are	be	AUX
agb-192	71	19	utilized	utilize	VERB
agb-192	71	20	to	to	PART
agb-192	71	21	detect	detect	VERB
agb-192	71	22	plant	plant	NOUN
agb-192	71	23	leaf	leaf	NOUN
agb-192	71	24	maladies	malady	NOUN
agb-192	71	25	in	in	ADP
agb-192	71	26	various	various	ADJ
agb-192	71	27	plant	plant	NOUN
agb-192	71	28	species	specie	NOUN
agb-192	71	29	by	by	ADP
agb-192	71	30	analyzing	analyze	VERB
agb-192	71	31	various	various	ADJ
agb-192	71	32	physical	physical	ADJ
agb-192	71	33	plant	plant	NOUN
agb-192	71	34	characteristics	characteristic	NOUN
agb-192	71	35	.	.	PUNCT
agb-192	72	1	the	the	DET
agb-192	72	2	overall	overall	ADJ
agb-192	72	3	investigation	investigation	NOUN
agb-192	72	4	is	be	AUX
agb-192	72	5	conducted	conduct	VERB
agb-192	72	6	by	by	ADP
agb-192	72	7	examining	examine	VERB
agb-192	72	8	morphological	morphological	ADJ
agb-192	72	9	properties	property	NOUN
agb-192	72	10	and	and	CCONJ
agb-192	72	11	characteristics	characteristic	NOUN
agb-192	72	12	such	such	ADJ
agb-192	72	13	as	as	ADP
agb-192	72	14	intensity	intensity	NOUN
agb-192	72	15	,	,	PUNCT
agb-192	72	16	dimension	dimension	NOUN
agb-192	72	17	,	,	PUNCT
agb-192	72	18	and	and	CCONJ
agb-192	72	19	color	color	NOUN
agb-192	72	20	(	(	PUNCT
agb-192	72	21	gavhale	gavhale	NOUN
agb-192	72	22	&	&	CCONJ
agb-192	72	23	gawande	gawande	PROPN
agb-192	72	24	,	,	PUNCT
agb-192	72	25	2014	2014	NUM
agb-192	72	26	)	)	PUNCT
agb-192	72	27	.	.	PUNCT
agb-192	73	1	fig	fig	NOUN
agb-192	73	2	.	.	PUNCT
agb-192	74	1	7	7	NUM
agb-192	74	2	depicts	depict	VERB
agb-192	74	3	several	several	ADJ
agb-192	74	4	prevalent	prevalent	ADJ
agb-192	74	5	plant	plant	NOUN
agb-192	74	6	diseases	disease	NOUN
agb-192	74	7	.	.	PUNCT
agb-192	75	1	fig	fig	NOUN
agb-192	75	2	6	6	NUM
agb-192	75	3	:	:	PUNCT
agb-192	75	4	process	process	NOUN
agb-192	75	5	of	of	ADP
agb-192	75	6	plant	plant	NOUN
agb-192	75	7	lead	lead	NOUN
agb-192	75	8	disease	disease	NOUN
agb-192	75	9	detection	detection	NOUN
agb-192	75	10	detection	detection	NOUN
agb-192	75	11	of	of	ADP
agb-192	75	12	leaf	leaf	NOUN
agb-192	75	13	diseases	disease	NOUN
agb-192	75	14	promptly	promptly	ADV
agb-192	75	15	enables	enable	VERB
agb-192	75	16	producers	producer	NOUN
agb-192	75	17	to	to	PART
agb-192	75	18	initiate	initiate	VERB
agb-192	75	19	early	early	ADJ
agb-192	75	20	disease	disease	NOUN
agb-192	75	21	management	management	NOUN
agb-192	75	22	strategies	strategy	NOUN
agb-192	75	23	,	,	PUNCT
agb-192	75	24	thereby	thereby	ADV
agb-192	75	25	increasing	increase	VERB
agb-192	75	26	agricultural	agricultural	ADJ
agb-192	75	27	output	output	NOUN
agb-192	75	28	.	.	PUNCT
agb-192	76	1	as	as	SCONJ
agb-192	76	2	is	be	AUX
agb-192	76	3	evident	evident	ADJ
agb-192	76	4	,	,	PUNCT
agb-192	76	5	pa	pa	PROPN
agb-192	76	6	is	be	AUX
agb-192	76	7	the	the	DET
agb-192	76	8	foundation	foundation	NOUN
agb-192	76	9	for	for	ADP
agb-192	76	10	leveraging	leverage	VERB
agb-192	76	11	modern	modern	ADJ
agb-192	76	12	technologies	technology	NOUN
agb-192	76	13	to	to	PART
agb-192	76	14	improve	improve	VERB
agb-192	76	15	and	and	CCONJ
agb-192	76	16	modernize	modernize	VERB
agb-192	76	17	agricultural	agricultural	ADJ
agb-192	76	18	practices	practice	NOUN
agb-192	76	19	.	.	PUNCT
agb-192	77	1	the	the	DET
agb-192	77	2	cv	cv	PROPN
agb-192	77	3	algorithms	algorithm	NOUN
agb-192	77	4	are	be	AUX
agb-192	77	5	an	an	DET
agb-192	77	6	efficient	efficient	ADJ
agb-192	77	7	method	method	NOUN
agb-192	77	8	for	for	ADP
agb-192	77	9	image	image	NOUN
agb-192	77	10	-	-	PUNCT
agb-192	77	11	based	base	VERB
agb-192	77	12	crop	crop	NOUN
agb-192	77	13	monitoring	monitoring	NOUN
agb-192	77	14	.	.	PUNCT
agb-192	78	1	this	this	DET
agb-192	78	2	study	study	NOUN
agb-192	78	3	employs	employ	VERB
agb-192	78	4	the	the	DET
agb-192	78	5	well	well	ADV
agb-192	78	6	-	-	PUNCT
agb-192	78	7	known	know	VERB
agb-192	78	8	you	you	PRON
agb-192	78	9	only	only	ADV
agb-192	78	10	look	look	VERB
agb-192	78	11	once	once	ADV
agb-192	78	12	(	(	PUNCT
agb-192	78	13	yolo	yolo	ADJ
agb-192	78	14	v4	v4	PROPN
agb-192	78	15	and	and	CCONJ
agb-192	78	16	yolo	yolo	ADJ
agb-192	78	17	v7	v7	NUM
agb-192	78	18	)	)	PUNCT
agb-192	78	19	models	model	NOUN
agb-192	78	20	to	to	PART
agb-192	78	21	detect	detect	VERB
agb-192	78	22	and	and	CCONJ
agb-192	78	23	classify	classify	VERB
agb-192	78	24	leaf	leaf	NOUN
agb-192	78	25	diseases	disease	NOUN
agb-192	78	26	.	.	PUNCT
agb-192	79	1	in	in	ADP
agb-192	79	2	addition	addition	NOUN
agb-192	79	3	,	,	PUNCT
agb-192	79	4	it	it	PRON
agb-192	79	5	analyzes	analyze	VERB
agb-192	79	6	the	the	DET
agb-192	79	7	distinguishing	distinguish	VERB
agb-192	79	8	characteristics	characteristic	NOUN
agb-192	79	9	of	of	ADP
agb-192	79	10	both	both	DET
agb-192	79	11	models	model	NOUN
agb-192	79	12	and	and	CCONJ
agb-192	79	13	compares	compare	VERB
agb-192	79	14	their	their	PRON
agb-192	79	15	efficacy	efficacy	NOUN
agb-192	79	16	in	in	ADP
agb-192	79	17	classifying	classify	VERB
agb-192	79	18	plant	plant	NOUN
agb-192	79	19	leaf	leaf	NOUN
agb-192	79	20	diseases	disease	NOUN
agb-192	79	21	.	.	PUNCT
agb-192	80	1	the	the	DET
agb-192	80	2	yolo	yolo	PROPN
agb-192	80	3	belongs	belong	VERB
agb-192	80	4	to	to	ADP
agb-192	80	5	the	the	DET
agb-192	80	6	category	category	NOUN
agb-192	80	7	of	of	ADP
agb-192	80	8	single	single	ADJ
agb-192	80	9	shot	shot	NOUN
agb-192	80	10	detection	detection	NOUN
agb-192	80	11	(	(	PUNCT
agb-192	80	12	ssd	ssd	NOUN
agb-192	80	13	)	)	PUNCT
agb-192	80	14	algorithms	algorithm	NOUN
agb-192	80	15	(	(	PUNCT
agb-192	80	16	jiang	jiang	PROPN
agb-192	80	17	,	,	PUNCT
agb-192	80	18	ergu	ergu	PROPN
agb-192	80	19	,	,	PUNCT
agb-192	80	20	liu	liu	PROPN
agb-192	80	21	,	,	PUNCT
agb-192	80	22	cai	cai	PROPN
agb-192	80	23	,	,	PUNCT
agb-192	80	24	&	&	CCONJ
agb-192	80	25	ma	ma	PROPN
agb-192	80	26	,	,	PUNCT
agb-192	80	27	2022	2022	NUM
agb-192	80	28	)	)	PUNCT
agb-192	80	29	;	;	PUNCT
agb-192	80	30	it	it	PRON
agb-192	80	31	can	can	AUX
agb-192	80	32	classify	classify	VERB
agb-192	80	33	or	or	CCONJ
agb-192	80	34	label	label	VERB
agb-192	80	35	diseased	diseased	ADJ
agb-192	80	36	leaves	leave	NOUN
agb-192	80	37	with	with	ADP
agb-192	80	38	a	a	DET
agb-192	80	39	substantial	substantial	ADJ
agb-192	80	40	improvement	improvement	NOUN
agb-192	80	41	in	in	ADP
agb-192	80	42	both	both	DET
agb-192	80	43	time	time	NOUN
agb-192	80	44	and	and	CCONJ
agb-192	80	45	accuracy	accuracy	NOUN
agb-192	80	46	,	,	PUNCT
agb-192	80	47	making	make	VERB
agb-192	80	48	it	it	PRON
agb-192	80	49	more	more	ADV
agb-192	80	50	suited	suited	ADJ
agb-192	80	51	for	for	ADP
agb-192	80	52	real	real	ADJ
agb-192	80	53	-	-	PUNCT
agb-192	80	54	time	time	NOUN
agb-192	80	55	farming	farming	NOUN
agb-192	80	56	applications	application	NOUN
agb-192	80	57	.	.	PUNCT
agb-192	81	1	fig	fig	NOUN
agb-192	81	2	7	7	NUM
agb-192	81	3	:	:	PUNCT
agb-192	81	4	types	type	NOUN
agb-192	81	5	of	of	ADP
agb-192	81	6	plant	plant	NOUN
agb-192	81	7	leaf	leaf	NOUN
agb-192	81	8	diseases	disease	NOUN
agb-192	81	9	pre	pre	NOUN
agb-192	81	10	-	-	NOUN
agb-192	81	11	process	process	NOUN
agb-192	81	12	and	and	CCONJ
agb-192	81	13	normalize	normalize	VERB
agb-192	81	14	detection	detection	NOUN
agb-192	81	15	of	of	ADP
agb-192	81	16	infected	infect	VERB
agb-192	81	17	areas	area	NOUN
agb-192	81	18	extraction	extraction	NOUN
agb-192	81	19	of	of	ADP
agb-192	81	20	features	feature	NOUN
agb-192	81	21	from	from	ADP
agb-192	81	22	infected	infected	ADJ
agb-192	81	23	and	and	CCONJ
agb-192	81	24	normal	normal	ADJ
agb-192	81	25	area	area	NOUN
agb-192	81	26	pre	pre	NOUN
agb-192	81	27	-	-	NOUN
agb-192	81	28	process	process	NOUN
agb-192	81	29	and	and	CCONJ
agb-192	81	30	normalize	normalize	VERB
agb-192	81	31	leaf	leaf	NOUN
agb-192	81	32	images	image	NOUN
agb-192	81	33	agbioforum	agbioforum	NOUN
agb-192	81	34	,	,	PUNCT
agb-192	81	35	25(1	25(1	NUM
agb-192	81	36	)	)	PUNCT
agb-192	81	37	,	,	PUNCT
agb-192	81	38	2023	2023	NUM
agb-192	81	39	|	|	NOUN
agb-192	81	40	61	61	NUM
agb-192	81	41	xinming	xinming	NOUN
agb-192	81	42	,	,	PUNCT
agb-192	81	43	hong	hong	PROPN
agb-192	81	44	,	,	PUNCT
agb-192	81	45	mohd	mohd	PROPN
agb-192	81	46	ariffin	ariffin	NOUN
agb-192	81	47	,	,	PUNCT
agb-192	81	48	ismail	ismail	PROPN
agb-192	81	49	.	.	PUNCT
agb-192	82	1	—	—	PUNCT
agb-192	82	2	comparative	comparative	ADJ
agb-192	82	3	study	study	NOUN
agb-192	82	4	on	on	ADP
agb-192	82	5	leaf	leaf	NOUN
agb-192	82	6	disease	disease	NOUN
agb-192	82	7	identification	identification	NOUN
agb-192	82	8	using	use	VERB
agb-192	82	9	yolo	yolo	ADJ
agb-192	82	10	v4	v4	NOUN
agb-192	82	11	and	and	CCONJ
agb-192	82	12	yolo	yolo	ADJ
agb-192	82	13	v7	v7	VERB
agb-192	82	14	algorithm	algorithm	NOUN
agb-192	82	15	3	3	NUM
agb-192	82	16	.	.	PUNCT
agb-192	83	1	literature	literature	NOUN
agb-192	83	2	survey	survey	VERB
agb-192	83	3	traditional	traditional	ADJ
agb-192	83	4	agricultural	agricultural	ADJ
agb-192	83	5	practices	practice	NOUN
agb-192	83	6	involved	involve	VERB
agb-192	83	7	manual	manual	ADJ
agb-192	83	8	inspection	inspection	NOUN
agb-192	83	9	of	of	ADP
agb-192	83	10	leaves	leave	NOUN
agb-192	83	11	.	.	PUNCT
agb-192	84	1	the	the	DET
agb-192	84	2	advent	advent	NOUN
agb-192	84	3	of	of	ADP
agb-192	84	4	ai	ai	PROPN
agb-192	84	5	,	,	PUNCT
agb-192	84	6	dl	dl	NOUN
agb-192	84	7	,	,	PUNCT
agb-192	84	8	and	and	CCONJ
agb-192	84	9	cv	cv	PROPN
agb-192	84	10	has	have	AUX
agb-192	84	11	made	make	VERB
agb-192	84	12	pest	pest	NOUN
agb-192	84	13	and	and	CCONJ
agb-192	84	14	plant	plant	NOUN
agb-192	84	15	disease	disease	NOUN
agb-192	84	16	identification	identification	NOUN
agb-192	84	17	simpler	simple	ADJ
agb-192	84	18	and	and	CCONJ
agb-192	84	19	more	more	ADV
agb-192	84	20	accurate	accurate	ADJ
agb-192	84	21	.	.	PUNCT
agb-192	85	1	this	this	DET
agb-192	85	2	evolution	evolution	NOUN
agb-192	85	3	results	result	VERB
agb-192	85	4	from	from	ADP
agb-192	85	5	cutting	cut	VERB
agb-192	85	6	-	-	PUNCT
agb-192	85	7	edge	edge	NOUN
agb-192	85	8	computing	computing	NOUN
agb-192	85	9	technologies	technology	NOUN
agb-192	85	10	,	,	PUNCT
agb-192	85	11	which	which	PRON
agb-192	85	12	have	have	AUX
agb-192	85	13	attracted	attract	VERB
agb-192	85	14	many	many	ADJ
agb-192	85	15	researchers	researcher	NOUN
agb-192	85	16	to	to	PART
agb-192	85	17	explore	explore	VERB
agb-192	85	18	pa	pa	PROPN
agb-192	85	19	further	far	ADV
agb-192	85	20	and	and	CCONJ
agb-192	85	21	develop	develop	VERB
agb-192	85	22	novel	novel	ADJ
agb-192	85	23	models	model	NOUN
agb-192	85	24	.	.	PUNCT
agb-192	86	1	noguchi	noguchi	PROPN
agb-192	86	2	,	,	PUNCT
agb-192	86	3	reid	reid	PROPN
agb-192	86	4	,	,	PUNCT
agb-192	86	5	zhang	zhang	PROPN
agb-192	86	6	,	,	PUNCT
agb-192	86	7	and	and	CCONJ
agb-192	86	8	tian	tian	ADJ
agb-192	86	9	(	(	PUNCT
agb-192	86	10	1998	1998	NUM
agb-192	86	11	)	)	PUNCT
agb-192	86	12	developed	develop	VERB
agb-192	86	13	a	a	DET
agb-192	86	14	hybrid	hybrid	NOUN
agb-192	86	15	ml	ml	NOUN
agb-192	86	16	model	model	NOUN
agb-192	86	17	that	that	SCONJ
agb-192	86	18	combined	combine	VERB
agb-192	86	19	genetic	genetic	ADJ
agb-192	86	20	algorithm	algorithm	NOUN
agb-192	86	21	(	(	PUNCT
agb-192	86	22	ga	ga	PROPN
agb-192	86	23	)	)	PUNCT
agb-192	86	24	with	with	ADP
agb-192	86	25	optimized	optimize	VERB
agb-192	86	26	fuzzy	fuzzy	ADJ
agb-192	86	27	rules	rule	NOUN
agb-192	86	28	to	to	PART
agb-192	86	29	select	select	VERB
agb-192	86	30	more	more	ADV
agb-192	86	31	suitable	suitable	ADJ
agb-192	86	32	crop	crop	NOUN
agb-192	86	33	features	feature	NOUN
agb-192	86	34	from	from	ADP
agb-192	86	35	the	the	DET
agb-192	86	36	images	image	NOUN
agb-192	86	37	.	.	PUNCT
agb-192	87	1	singh	singh	PROPN
agb-192	87	2	and	and	CCONJ
agb-192	87	3	misra	misra	PROPN
agb-192	87	4	(	(	PUNCT
agb-192	87	5	2017	2017	NUM
agb-192	87	6	)	)	PUNCT
agb-192	87	7	state	state	NOUN
agb-192	87	8	that	that	SCONJ
agb-192	87	9	artificial	artificial	ADJ
agb-192	87	10	neural	neural	ADJ
agb-192	87	11	networks	network	NOUN
agb-192	87	12	(	(	PUNCT
agb-192	87	13	ann	ann	PROPN
agb-192	87	14	)	)	PUNCT
agb-192	87	15	are	be	AUX
agb-192	87	16	used	use	VERB
agb-192	87	17	to	to	PART
agb-192	87	18	isolate	isolate	VERB
agb-192	87	19	plants	plant	NOUN
agb-192	87	20	in	in	ADP
agb-192	87	21	fields	field	NOUN
agb-192	87	22	at	at	ADP
agb-192	87	23	various	various	ADJ
agb-192	87	24	growth	growth	NOUN
agb-192	87	25	stages	stage	NOUN
agb-192	87	26	.	.	PUNCT
agb-192	88	1	the	the	DET
agb-192	88	2	primary	primary	ADJ
agb-192	88	3	contribution	contribution	NOUN
agb-192	88	4	of	of	ADP
agb-192	88	5	this	this	DET
agb-192	88	6	work	work	NOUN
agb-192	88	7	is	be	AUX
agb-192	88	8	extracting	extract	VERB
agb-192	88	9	weeding	weed	VERB
agb-192	88	10	information	information	NOUN
agb-192	88	11	from	from	ADP
agb-192	88	12	the	the	DET
agb-192	88	13	geographic	geographic	ADJ
agb-192	88	14	information	information	NOUN
agb-192	88	15	system	system	NOUN
agb-192	88	16	(	(	PUNCT
agb-192	88	17	gis	gis	NOUN
agb-192	88	18	)	)	PUNCT
agb-192	88	19	for	for	ADP
agb-192	88	20	a	a	DET
agb-192	88	21	more	more	ADV
agb-192	88	22	precise	precise	ADJ
agb-192	88	23	separation	separation	NOUN
agb-192	88	24	of	of	ADP
agb-192	88	25	weeds	weed	NOUN
agb-192	88	26	of	of	ADP
agb-192	88	27	varying	vary	VERB
agb-192	88	28	heights	height	NOUN
agb-192	88	29	.	.	PUNCT
agb-192	89	1	a	a	DET
agb-192	89	2	com	com	PROPN
agb-192	89	3	.	.	PROPN
agb-192	89	4	arivazhagan	arivazhagan	PROPN
agb-192	89	5	,	,	PUNCT
agb-192	89	6	shebiah	shebiah	PROPN
agb-192	89	7	,	,	PUNCT
agb-192	89	8	ananthi	ananthi	PROPN
agb-192	89	9	,	,	PUNCT
agb-192	89	10	and	and	CCONJ
agb-192	89	11	varthini	varthini	X
agb-192	89	12	(	(	PUNCT
agb-192	89	13	2013	2013	NUM
agb-192	89	14	)	)	PUNCT
agb-192	89	15	examines	examine	VERB
agb-192	89	16	various	various	ADJ
agb-192	89	17	soft	soft	ADJ
agb-192	89	18	computing	computing	NOUN
agb-192	89	19	techniques	technique	NOUN
agb-192	89	20	in	in	ADP
agb-192	89	21	addition	addition	NOUN
agb-192	89	22	to	to	ADP
agb-192	89	23	the	the	DET
agb-192	89	24	design	design	NOUN
agb-192	89	25	of	of	ADP
agb-192	89	26	a	a	DET
agb-192	89	27	novel	novel	ADJ
agb-192	89	28	model	model	NOUN
agb-192	89	29	by	by	ADP
agb-192	89	30	integrating	integrate	VERB
agb-192	89	31	ga	ga	PROPN
agb-192	89	32	and	and	CCONJ
agb-192	89	33	support	support	VERB
agb-192	89	34	vector	vector	NOUN
agb-192	89	35	machine	machine	NOUN
agb-192	89	36	(	(	PUNCT
agb-192	89	37	svm	svm	PROPN
agb-192	89	38	)	)	PUNCT
agb-192	89	39	.	.	PUNCT
agb-192	90	1	ga	ga	PROPN
agb-192	90	2	is	be	AUX
agb-192	90	3	used	use	VERB
agb-192	90	4	to	to	PART
agb-192	90	5	segment	segment	VERB
agb-192	90	6	or	or	CCONJ
agb-192	90	7	isolate	isolate	VERB
agb-192	90	8	the	the	DET
agb-192	90	9	infected	infected	ADJ
agb-192	90	10	portion	portion	NOUN
agb-192	90	11	,	,	PUNCT
agb-192	90	12	whereas	whereas	SCONJ
agb-192	90	13	svm	svm	ADJ
agb-192	90	14	employs	employ	VERB
agb-192	90	15	minimum	minimum	ADJ
agb-192	90	16	distance	distance	NOUN
agb-192	90	17	for	for	ADP
agb-192	90	18	classification	classification	NOUN
agb-192	90	19	.	.	PUNCT
agb-192	91	1	to	to	PART
agb-192	91	2	isolate	isolate	VERB
agb-192	91	3	diseased	diseased	ADJ
agb-192	91	4	pine	pine	ADJ
agb-192	91	5	leaves	leave	NOUN
agb-192	91	6	,	,	PUNCT
agb-192	91	7	segmentation	segmentation	NOUN
agb-192	91	8	is	be	AUX
agb-192	91	9	performed	perform	VERB
agb-192	91	10	using	use	VERB
agb-192	91	11	color	color	NOUN
agb-192	91	12	co	co	NOUN
agb-192	91	13	-	-	NOUN
agb-192	91	14	occurrence	occurrence	NOUN
agb-192	91	15	.	.	PUNCT
agb-192	92	1	the	the	DET
agb-192	92	2	pa	pa	PROPN
agb-192	92	3	is	be	AUX
agb-192	92	4	advancing	advance	VERB
agb-192	92	5	in	in	ADP
agb-192	92	6	a	a	DET
agb-192	92	7	new	new	ADJ
agb-192	92	8	dimension	dimension	NOUN
agb-192	92	9	after	after	ADP
agb-192	92	10	the	the	DET
agb-192	92	11	advent	advent	NOUN
agb-192	92	12	and	and	CCONJ
agb-192	92	13	development	development	NOUN
agb-192	92	14	of	of	ADP
agb-192	92	15	cv	cv	PROPN
agb-192	92	16	,	,	PUNCT
agb-192	92	17	ml	ml	ADP
agb-192	92	18	,	,	PUNCT
agb-192	92	19	and	and	CCONJ
agb-192	92	20	dl	dl	PROPN
agb-192	92	21	algorithms	algorithm	NOUN
agb-192	92	22	.	.	PUNCT
agb-192	93	1	in	in	ADP
agb-192	93	2	dl	dl	PROPN
agb-192	93	3	and	and	CCONJ
agb-192	93	4	ml	ml	ADV
agb-192	93	5	-	-	PUNCT
agb-192	93	6	based	base	VERB
agb-192	93	7	methods	method	NOUN
agb-192	93	8	,	,	PUNCT
agb-192	93	9	image	image	NOUN
agb-192	93	10	classification	classification	NOUN
agb-192	93	11	is	be	AUX
agb-192	93	12	performed	perform	VERB
agb-192	93	13	in	in	ADP
agb-192	93	14	stages	stage	NOUN
agb-192	93	15	that	that	PRON
agb-192	93	16	enable	enable	VERB
agb-192	93	17	the	the	DET
agb-192	93	18	detection	detection	NOUN
agb-192	93	19	and	and	CCONJ
agb-192	93	20	localization	localization	NOUN
agb-192	93	21	of	of	ADP
agb-192	93	22	single	single	ADJ
agb-192	93	23	and	and	CCONJ
agb-192	93	24	multiple	multiple	ADJ
agb-192	93	25	objects	object	NOUN
agb-192	93	26	from	from	ADP
agb-192	93	27	an	an	DET
agb-192	93	28	input	input	NOUN
agb-192	93	29	image	image	NOUN
agb-192	93	30	.	.	PUNCT
agb-192	94	1	this	this	PRON
agb-192	94	2	is	be	AUX
agb-192	94	3	accomplished	accomplish	VERB
agb-192	94	4	in	in	ADP
agb-192	94	5	two	two	NUM
agb-192	94	6	ways	way	NOUN
agb-192	94	7	:	:	PUNCT
agb-192	94	8	1	1	NUM
agb-192	94	9	)	)	PUNCT
agb-192	94	10	generate	generate	VERB
agb-192	94	11	a	a	DET
agb-192	94	12	sequence	sequence	NOUN
agb-192	94	13	of	of	ADP
agb-192	94	14	candidate	candidate	NOUN
agb-192	94	15	frames	frame	NOUN
agb-192	94	16	to	to	PART
agb-192	94	17	serve	serve	VERB
agb-192	94	18	as	as	ADP
agb-192	94	19	samples	sample	NOUN
agb-192	94	20	.	.	PUNCT
agb-192	95	1	ml	ml	NOUN
agb-192	95	2	or	or	CCONJ
agb-192	95	3	dl	dl	PROPN
agb-192	95	4	algorithms	algorithm	NOUN
agb-192	95	5	will	will	AUX
agb-192	95	6	classify	classify	VERB
agb-192	95	7	the	the	DET
agb-192	95	8	images	image	NOUN
agb-192	95	9	based	base	VERB
agb-192	95	10	on	on	ADP
agb-192	95	11	these	these	DET
agb-192	95	12	reference	reference	NOUN
agb-192	95	13	images	image	NOUN
agb-192	95	14	,	,	PUNCT
agb-192	95	15	as	as	ADP
agb-192	95	16	in	in	ADP
agb-192	95	17	rcnn	rcnn	PROPN
agb-192	95	18	,	,	PUNCT
agb-192	95	19	speedier	speedy	ADJ
agb-192	95	20	rcnn	rcnn	NOUN
agb-192	95	21	,	,	PUNCT
agb-192	95	22	and	and	CCONJ
agb-192	95	23	rfcn	rfcn	NOUN
agb-192	95	24	(	(	PUNCT
agb-192	95	25	dai	dai	PROPN
agb-192	95	26	,	,	PUNCT
agb-192	95	27	li	li	PROPN
agb-192	95	28	,	,	PUNCT
agb-192	95	29	he	he	PRON
agb-192	95	30	,	,	PUNCT
agb-192	95	31	&	&	CCONJ
agb-192	95	32	sun	sun	PROPN
agb-192	95	33	,	,	PUNCT
agb-192	95	34	2016	2016	NUM
agb-192	95	35	;	;	PUNCT
agb-192	95	36	girshick	girshick	NOUN
agb-192	95	37	,	,	PUNCT
agb-192	95	38	donahue	donahue	PROPN
agb-192	95	39	,	,	PUNCT
agb-192	95	40	darrell	darrell	PROPN
agb-192	95	41	,	,	PUNCT
agb-192	95	42	&	&	CCONJ
agb-192	95	43	malik	malik	PROPN
agb-192	95	44	,	,	PUNCT
agb-192	95	45	2014	2014	NUM
agb-192	95	46	;	;	PUNCT
agb-192	95	47	ren	ren	PROPN
agb-192	95	48	,	,	PUNCT
agb-192	95	49	he	he	PRON
agb-192	95	50	,	,	PUNCT
agb-192	95	51	girshick	girshick	ADJ
agb-192	95	52	,	,	PUNCT
agb-192	95	53	&	&	CCONJ
agb-192	95	54	sun	sun	PROPN
agb-192	95	55	,	,	PUNCT
agb-192	95	56	2015	2015	NUM
agb-192	95	57	)	)	PUNCT
agb-192	95	58	.	.	PUNCT
agb-192	96	1	w.	w.	PROPN
agb-192	96	2	liu	liu	PROPN
agb-192	96	3	et	et	PROPN
agb-192	96	4	al	al	PROPN
agb-192	96	5	.	.	PROPN
agb-192	97	1	(	(	PUNCT
agb-192	97	2	2016	2016	NUM
agb-192	97	3	)	)	PUNCT
agb-192	97	4	categorized	categorize	VERB
agb-192	97	5	the	the	DET
agb-192	97	6	transformation	transformation	NOUN
agb-192	97	7	of	of	ADP
agb-192	97	8	object	object	NOUN
agb-192	97	9	locations	location	NOUN
agb-192	97	10	by	by	ADP
agb-192	97	11	drawing	draw	VERB
agb-192	97	12	bounding	bounding	NOUN
agb-192	97	13	frames	frame	NOUN
agb-192	97	14	and	and	CCONJ
agb-192	97	15	modifying	modify	VERB
agb-192	97	16	the	the	DET
agb-192	97	17	application	application	NOUN
agb-192	97	18	as	as	ADP
agb-192	97	19	a	a	DET
agb-192	97	20	regression	regression	NOUN
agb-192	97	21	problem	problem	NOUN
agb-192	97	22	.	.	PUNCT
agb-192	98	1	li	li	PROPN
agb-192	98	2	,	,	PUNCT
agb-192	98	3	ahmed	ahmed	PROPN
agb-192	98	4	,	,	PUNCT
agb-192	98	5	wu	wu	PROPN
agb-192	98	6	,	,	PUNCT
agb-192	98	7	and	and	CCONJ
agb-192	98	8	sethi	sethi	PROPN
agb-192	98	9	(	(	PUNCT
agb-192	98	10	2022	2022	NUM
agb-192	98	11	)	)	PUNCT
agb-192	98	12	conducted	conduct	VERB
agb-192	98	13	a	a	DET
agb-192	98	14	comprehensive	comprehensive	ADJ
agb-192	98	15	investigation	investigation	NOUN
agb-192	98	16	of	of	ADP
agb-192	98	17	leaf	leaf	NOUN
agb-192	98	18	disease	disease	NOUN
agb-192	98	19	in	in	ADP
agb-192	98	20	jute	jute	NOUN
agb-192	98	21	plants	plant	NOUN
agb-192	98	22	and	and	CCONJ
agb-192	98	23	constructed	construct	VERB
agb-192	98	24	a	a	DET
agb-192	98	25	yolo	yolo	PROPN
agb-192	98	26	-	-	PUNCT
agb-192	98	27	jd	jd	NOUN
agb-192	98	28	architecture	architecture	NOUN
agb-192	98	29	with	with	ADP
agb-192	98	30	three	three	NUM
agb-192	98	31	feature	feature	NOUN
agb-192	98	32	extraction	extraction	NOUN
agb-192	98	33	modules	module	NOUN
agb-192	98	34	.	.	PUNCT
agb-192	99	1	this	this	DET
agb-192	99	2	model	model	NOUN
agb-192	99	3	examines	examine	VERB
agb-192	99	4	the	the	DET
agb-192	99	5	input	input	NOUN
agb-192	99	6	image	image	NOUN
agb-192	99	7	from	from	ADP
agb-192	99	8	multiple	multiple	ADJ
agb-192	99	9	perspectives	perspective	NOUN
agb-192	99	10	,	,	PUNCT
agb-192	99	11	including	include	VERB
agb-192	99	12	constructing	construct	VERB
agb-192	99	13	features	feature	NOUN
agb-192	99	14	via	via	ADP
agb-192	99	15	spatial	spatial	ADJ
agb-192	99	16	pyramid	pyramid	NOUN
agb-192	99	17	pooling	pooling	NOUN
agb-192	99	18	,	,	PUNCT
agb-192	99	19	sand	sand	NOUN
agb-192	99	20	clock	clock	NOUN
agb-192	99	21	,	,	PUNCT
agb-192	99	22	and	and	CCONJ
agb-192	99	23	deep	deep	ADJ
agb-192	99	24	sand	sand	NOUN
agb-192	99	25	clock	clock	NOUN
agb-192	99	26	methods	method	NOUN
agb-192	99	27	,	,	PUNCT
agb-192	99	28	to	to	PART
agb-192	99	29	extract	extract	VERB
agb-192	99	30	significant	significant	ADJ
agb-192	99	31	features	feature	NOUN
agb-192	99	32	from	from	ADP
agb-192	99	33	leaf	leaf	NOUN
agb-192	99	34	images	image	NOUN
agb-192	99	35	.	.	PUNCT
agb-192	100	1	mohandas	mohandas	PROPN
agb-192	100	2	,	,	PUNCT
agb-192	100	3	anjali	anjali	ADJ
agb-192	100	4	,	,	PUNCT
agb-192	100	5	and	and	CCONJ
agb-192	100	6	varma	varma	PROPN
agb-192	100	7	(	(	PUNCT
agb-192	100	8	2021	2021	NUM
agb-192	100	9	)	)	PUNCT
agb-192	100	10	note	note	VERB
agb-192	100	11	that	that	SCONJ
agb-192	100	12	a	a	DET
agb-192	100	13	distinguishing	distinguish	VERB
agb-192	100	14	feature	feature	NOUN
agb-192	100	15	of	of	ADP
agb-192	100	16	yolo	yolo	ADJ
agb-192	100	17	is	be	AUX
agb-192	100	18	incorporating	incorporate	VERB
agb-192	100	19	the	the	DET
agb-192	100	20	disease	disease	NOUN
agb-192	100	21	detection	detection	NOUN
agb-192	100	22	module	module	NOUN
agb-192	100	23	as	as	ADP
agb-192	100	24	a	a	DET
agb-192	100	25	mobile	mobile	ADJ
agb-192	100	26	application	application	NOUN
agb-192	100	27	to	to	PART
agb-192	100	28	facilitate	facilitate	VERB
agb-192	100	29	its	its	PRON
agb-192	100	30	deployment	deployment	NOUN
agb-192	100	31	in	in	ADP
agb-192	100	32	agricultural	agricultural	ADJ
agb-192	100	33	fields	field	NOUN
agb-192	100	34	.	.	PUNCT
agb-192	101	1	in	in	ADP
agb-192	101	2	addition	addition	NOUN
agb-192	101	3	,	,	PUNCT
agb-192	101	4	ponnusamy	ponnusamy	NOUN
agb-192	101	5	,	,	PUNCT
agb-192	101	6	coumaran	coumaran	NOUN
agb-192	101	7	,	,	PUNCT
agb-192	101	8	shunmugam	shunmugam	NOUN
agb-192	101	9	,	,	PUNCT
agb-192	101	10	rajaram	rajaram	NOUN
agb-192	101	11	,	,	PUNCT
agb-192	101	12	and	and	CCONJ
agb-192	101	13	senthilvelavan	senthilvelavan	PROPN
agb-192	101	14	(	(	PUNCT
agb-192	101	15	2020	2020	NUM
agb-192	101	16	)	)	PUNCT
agb-192	101	17	have	have	AUX
agb-192	101	18	developed	develop	VERB
agb-192	101	19	a	a	DET
agb-192	101	20	wearable	wearable	ADJ
agb-192	101	21	device	device	NOUN
agb-192	101	22	to	to	PART
agb-192	101	23	detect	detect	VERB
agb-192	101	24	leaf	leaf	NOUN
agb-192	101	25	diseases	disease	NOUN
agb-192	101	26	.	.	PUNCT
agb-192	102	1	a	a	DET
agb-192	102	2	computational	computational	ADJ
agb-192	102	3	module	module	NOUN
agb-192	102	4	on	on	ADP
agb-192	102	5	the	the	DET
agb-192	102	6	device	device	NOUN
agb-192	102	7	performs	perform	VERB
agb-192	102	8	classification	classification	NOUN
agb-192	102	9	using	use	VERB
agb-192	102	10	the	the	DET
agb-192	102	11	yolo	yolo	ADJ
agb-192	102	12	framework	framework	NOUN
agb-192	102	13	.	.	PUNCT
agb-192	103	1	alternately	alternately	ADV
agb-192	103	2	,	,	PUNCT
agb-192	103	3	a	a	DET
agb-192	103	4	pyramid	pyramid	NOUN
agb-192	103	5	of	of	ADP
agb-192	103	6	tomato	tomato	NOUN
agb-192	103	7	leaf	leaf	NOUN
agb-192	103	8	images	image	NOUN
agb-192	103	9	was	be	AUX
agb-192	103	10	used	use	VERB
agb-192	103	11	to	to	PART
agb-192	103	12	enhance	enhance	VERB
agb-192	103	13	the	the	DET
agb-192	103	14	multi	multi	ADJ
agb-192	103	15	-	-	ADJ
agb-192	103	16	scale	scale	ADJ
agb-192	103	17	feature	feature	NOUN
agb-192	103	18	detection	detection	NOUN
agb-192	103	19	,	,	PUNCT
agb-192	103	20	thereby	thereby	ADV
agb-192	103	21	enhancing	enhance	VERB
agb-192	103	22	the	the	DET
agb-192	103	23	performance	performance	NOUN
agb-192	103	24	efficacy	efficacy	NOUN
agb-192	103	25	of	of	ADP
agb-192	103	26	yolo	yolo	PROPN
agb-192	103	27	(	(	PUNCT
agb-192	103	28	jun	jun	PROPN
agb-192	103	29	liu	liu	PROPN
agb-192	103	30	&	&	CCONJ
agb-192	103	31	wang	wang	PROPN
agb-192	103	32	,	,	PUNCT
agb-192	103	33	2020	2020	NUM
agb-192	103	34	)	)	PUNCT
agb-192	103	35	.	.	PUNCT
agb-192	104	1	using	use	VERB
agb-192	104	2	a	a	DET
agb-192	104	3	pre	pre	ADJ
agb-192	104	4	-	-	ADJ
agb-192	104	5	trained	train	VERB
agb-192	104	6	alexnet	alexnet	ADJ
agb-192	104	7	architecture	architecture	NOUN
agb-192	104	8	and	and	CCONJ
agb-192	104	9	13,689	13,689	NUM
agb-192	104	10	reference	reference	NOUN
agb-192	104	11	images	image	NOUN
agb-192	104	12	,	,	PUNCT
agb-192	104	13	the	the	DET
agb-192	104	14	detection	detection	NOUN
agb-192	104	15	of	of	ADP
agb-192	104	16	common	common	ADJ
agb-192	104	17	leaf	leaf	NOUN
agb-192	104	18	maladies	malady	NOUN
agb-192	104	19	in	in	ADP
agb-192	104	20	apple	apple	NOUN
agb-192	104	21	plants	plant	NOUN
agb-192	104	22	was	be	AUX
agb-192	104	23	accomplished	accomplish	VERB
agb-192	104	24	.	.	PUNCT
agb-192	105	1	the	the	DET
agb-192	105	2	infected	infected	ADJ
agb-192	105	3	leaf	leaf	NOUN
agb-192	105	4	is	be	AUX
agb-192	105	5	identified	identify	VERB
agb-192	105	6	by	by	ADP
agb-192	105	7	a	a	DET
agb-192	105	8	robust	robust	ADJ
agb-192	105	9	cnn	cnn	NOUN
agb-192	105	10	(	(	PUNCT
agb-192	105	11	fuentes	fuentes	PROPN
agb-192	105	12	,	,	PUNCT
agb-192	105	13	yoon	yoon	PROPN
agb-192	105	14	,	,	PUNCT
agb-192	105	15	kim	kim	PROPN
agb-192	105	16	,	,	PUNCT
agb-192	105	17	&	&	CCONJ
agb-192	105	18	park	park	PROPN
agb-192	105	19	,	,	PUNCT
agb-192	105	20	2017	2017	NUM
agb-192	105	21	;	;	PUNCT
agb-192	105	22	mohanty	mohanty	NOUN
agb-192	105	23	,	,	PUNCT
agb-192	105	24	hughes	hughes	PROPN
agb-192	105	25	,	,	PUNCT
agb-192	105	26	&	&	CCONJ
agb-192	105	27	salathé	salathé	PROPN
agb-192	105	28	,	,	PUNCT
agb-192	105	29	2016	2016	NUM
agb-192	105	30	)	)	PUNCT
agb-192	105	31	.	.	PUNCT
agb-192	106	1	r	r	X
agb-192	106	2	-	-	PUNCT
agb-192	106	3	cnn	cnn	NOUN
agb-192	106	4	integrated	integrate	VERB
agb-192	106	5	with	with	ADP
agb-192	106	6	long	long	ADJ
agb-192	106	7	short	short	ADJ
agb-192	106	8	-	-	PUNCT
agb-192	106	9	term	term	NOUN
agb-192	106	10	memory	memory	NOUN
agb-192	106	11	(	(	PUNCT
agb-192	106	12	lstm	lstm	NOUN
agb-192	106	13	)	)	PUNCT
agb-192	106	14	is	be	AUX
agb-192	106	15	used	use	VERB
agb-192	106	16	to	to	PART
agb-192	106	17	detect	detect	VERB
agb-192	106	18	tomato	tomato	NOUN
agb-192	106	19	leaf	leaf	NOUN
agb-192	106	20	disease	disease	NOUN
agb-192	106	21	and	and	CCONJ
agb-192	106	22	parasite	parasite	NOUN
agb-192	106	23	disease	disease	NOUN
agb-192	106	24	.	.	PUNCT
agb-192	107	1	metadata	metadata	PROPN
agb-192	107	2	from	from	ADP
agb-192	107	3	faster	fast	ADJ
agb-192	107	4	r	r	NOUN
agb-192	107	5	-	-	PUNCT
agb-192	107	6	cnn	cnn	PROPN
agb-192	107	7	,	,	PUNCT
agb-192	107	8	rcnn	rcnn	PROPN
agb-192	107	9	,	,	PUNCT
agb-192	107	10	ssd	ssd	PROPN
agb-192	107	11	,	,	PUNCT
agb-192	107	12	and	and	CCONJ
agb-192	107	13	r	r	X
agb-192	107	14	-	-	PUNCT
agb-192	107	15	fcn	fcn	NOUN
agb-192	107	16	are	be	AUX
agb-192	107	17	compared	compare	VERB
agb-192	107	18	with	with	ADP
agb-192	107	19	meta	meta	NOUN
agb-192	107	20	-	-	PUNCT
agb-192	107	21	features	feature	NOUN
agb-192	107	22	extracted	extract	VERB
agb-192	107	23	from	from	ADP
agb-192	107	24	resnet	resnet	NOUN
agb-192	107	25	and	and	CCONJ
agb-192	107	26	vgg	vgg	VERB
agb-192	107	27	in	in	ADP
agb-192	107	28	a	a	DET
agb-192	107	29	comparative	comparative	ADJ
agb-192	107	30	analysis	analysis	NOUN
agb-192	107	31	of	of	ADP
agb-192	107	32	cv	cv	PROPN
agb-192	107	33	architectures	architecture	NOUN
agb-192	107	34	for	for	ADP
agb-192	107	35	leaf	leaf	NOUN
agb-192	107	36	disease	disease	NOUN
agb-192	107	37	identification	identification	NOUN
agb-192	107	38	.	.	PUNCT
agb-192	108	1	the	the	DET
agb-192	108	2	classification	classification	NOUN
agb-192	108	3	of	of	ADP
agb-192	108	4	13	13	NUM
agb-192	108	5	leaf	leaf	NOUN
agb-192	108	6	maladies	malady	NOUN
agb-192	108	7	using	use	VERB
agb-192	108	8	the	the	DET
agb-192	108	9	cnn	cnn	PROPN
agb-192	108	10	framework	framework	NOUN
agb-192	108	11	in	in	ADP
agb-192	108	12	the	the	DET
agb-192	108	13	caffe	caffe	NOUN
agb-192	108	14	framework	framework	NOUN
agb-192	108	15	is	be	AUX
agb-192	108	16	performed	perform	VERB
agb-192	108	17	(	(	PUNCT
agb-192	108	18	sladojevic	sladojevic	ADJ
agb-192	108	19	,	,	PUNCT
agb-192	108	20	arsenovic	arsenovic	ADJ
agb-192	108	21	,	,	PUNCT
agb-192	108	22	anderla	anderla	PROPN
agb-192	108	23	,	,	PUNCT
agb-192	108	24	culibrk	culibrk	PROPN
agb-192	108	25	,	,	PUNCT
agb-192	108	26	&	&	CCONJ
agb-192	108	27	stefanovic	stefanovic	ADJ
agb-192	108	28	,	,	PUNCT
agb-192	108	29	2016	2016	NUM
agb-192	108	30	)	)	PUNCT
agb-192	108	31	with	with	ADP
agb-192	108	32	high	high	ADJ
agb-192	108	33	accuracy	accuracy	NOUN
agb-192	108	34	.	.	PUNCT
agb-192	109	1	sibiya	sibiya	NOUN
agb-192	109	2	and	and	CCONJ
agb-192	109	3	sumbwanyambe	sumbwanyambe	ADJ
agb-192	109	4	(	(	PUNCT
agb-192	109	5	2019	2019	NUM
agb-192	109	6	)	)	PUNCT
agb-192	109	7	is	be	AUX
agb-192	109	8	a	a	DET
agb-192	109	9	publication	publication	NOUN
agb-192	109	10	that	that	PRON
agb-192	109	11	employs	employ	VERB
agb-192	109	12	cnn	cnn	PROPN
agb-192	109	13	to	to	PART
agb-192	109	14	designate	designate	VERB
agb-192	109	15	maize	maize	NOUN
agb-192	109	16	leaf	leaf	NOUN
agb-192	109	17	diseases	disease	NOUN
agb-192	109	18	.	.	PUNCT
agb-192	110	1	the	the	DET
agb-192	110	2	model	model	NOUN
agb-192	110	3	could	could	AUX
agb-192	110	4	annotate	annotate	VERB
agb-192	110	5	three	three	NUM
agb-192	110	6	categories	category	NOUN
agb-192	110	7	of	of	ADP
agb-192	110	8	diseases	disease	NOUN
agb-192	110	9	in	in	ADP
agb-192	110	10	south	south	ADJ
agb-192	110	11	african	african	ADJ
agb-192	110	12	maize	maize	NOUN
agb-192	110	13	field	field	NOUN
agb-192	110	14	images	image	NOUN
agb-192	110	15	.	.	PUNCT
agb-192	111	1	extensive	extensive	ADJ
agb-192	111	2	research	research	NOUN
agb-192	111	3	indicates	indicate	VERB
agb-192	111	4	that	that	SCONJ
agb-192	111	5	cv	cv	PROPN
agb-192	111	6	algorithms	algorithm	NOUN
agb-192	111	7	based	base	VERB
agb-192	111	8	on	on	ADP
agb-192	111	9	deep	deep	ADJ
agb-192	111	10	learning	learning	NOUN
agb-192	111	11	are	be	AUX
agb-192	111	12	extraordinarily	extraordinarily	ADV
agb-192	111	13	useful	useful	ADJ
agb-192	111	14	for	for	ADP
agb-192	111	15	producers	producer	NOUN
agb-192	111	16	.	.	PUNCT
agb-192	112	1	despite	despite	SCONJ
agb-192	112	2	these	these	DET
agb-192	112	3	advancements	advancement	NOUN
agb-192	112	4	,	,	PUNCT
agb-192	112	5	models	model	NOUN
agb-192	112	6	for	for	ADP
agb-192	112	7	plant	plant	NOUN
agb-192	112	8	disease	disease	NOUN
agb-192	112	9	detection	detection	NOUN
agb-192	112	10	still	still	ADV
agb-192	112	11	face	face	VERB
agb-192	112	12	several	several	ADJ
agb-192	112	13	obstacles	obstacle	NOUN
agb-192	112	14	:	:	PUNCT
agb-192	112	15	1	1	X
agb-192	112	16	.	.	X
agb-192	113	1	the	the	DET
agb-192	113	2	plant	plant	NOUN
agb-192	113	3	foliage	foliage	NOUN
agb-192	113	4	may	may	AUX
agb-192	113	5	be	be	AUX
agb-192	113	6	captured	capture	VERB
agb-192	113	7	against	against	ADP
agb-192	113	8	various	various	ADJ
agb-192	113	9	cluttered	cluttered	ADJ
agb-192	113	10	backgrounds	background	NOUN
agb-192	113	11	,	,	PUNCT
agb-192	113	12	hindering	hinder	VERB
agb-192	113	13	detection	detection	NOUN
agb-192	113	14	.	.	PUNCT
agb-192	114	1	2	2	X
agb-192	114	2	.	.	X
agb-192	114	3	every	every	DET
agb-192	114	4	plant	plant	NOUN
agb-192	114	5	species	specie	NOUN
agb-192	114	6	has	have	VERB
agb-192	114	7	a	a	DET
agb-192	114	8	distinct	distinct	ADJ
agb-192	114	9	leaf	leaf	NOUN
agb-192	114	10	arrangement	arrangement	NOUN
agb-192	114	11	and	and	CCONJ
agb-192	114	12	structure	structure	NOUN
agb-192	114	13	,	,	PUNCT
agb-192	114	14	so	so	CCONJ
agb-192	114	15	the	the	DET
agb-192	114	16	model	model	NOUN
agb-192	114	17	must	must	AUX
agb-192	114	18	also	also	ADV
agb-192	114	19	understand	understand	VERB
agb-192	114	20	this	this	PRON
agb-192	114	21	.	.	PUNCT
agb-192	115	1	3	3	X
agb-192	115	2	.	.	X
agb-192	115	3	there	there	PRON
agb-192	115	4	is	be	VERB
agb-192	115	5	a	a	DET
agb-192	115	6	high	high	ADJ
agb-192	115	7	probability	probability	NOUN
agb-192	115	8	that	that	SCONJ
agb-192	115	9	the	the	DET
agb-192	115	10	leaves	leave	NOUN
agb-192	115	11	retain	retain	VERB
agb-192	115	12	their	their	PRON
agb-192	115	13	original	original	ADJ
agb-192	115	14	structure	structure	NOUN
agb-192	115	15	but	but	CCONJ
agb-192	115	16	are	be	AUX
agb-192	115	17	covered	cover	VERB
agb-192	115	18	in	in	ADP
agb-192	115	19	mud	mud	NOUN
agb-192	115	20	,	,	PUNCT
agb-192	115	21	and	and	CCONJ
agb-192	115	22	stalks	stalk	NOUN
agb-192	115	23	,	,	PUNCT
agb-192	115	24	are	be	AUX
agb-192	115	25	partially	partially	ADV
agb-192	115	26	torn	tear	VERB
agb-192	115	27	,	,	PUNCT
agb-192	115	28	have	have	VERB
agb-192	115	29	withered	wither	VERB
agb-192	115	30	blossoms	blossom	NOUN
agb-192	115	31	,	,	PUNCT
agb-192	115	32	etc	etc	X
agb-192	115	33	.	.	X
agb-192	116	1	4	4	X
agb-192	116	2	.	.	X
agb-192	117	1	parasites	parasite	NOUN
agb-192	117	2	,	,	PUNCT
agb-192	117	3	diseases	disease	NOUN
agb-192	117	4	,	,	PUNCT
agb-192	117	5	and	and	CCONJ
agb-192	117	6	grazing	grazing	NOUN
agb-192	117	7	animals	animal	NOUN
agb-192	117	8	alter	alter	VERB
agb-192	117	9	the	the	DET
agb-192	117	10	morphological	morphological	ADJ
agb-192	117	11	properties	property	NOUN
agb-192	117	12	of	of	ADP
agb-192	117	13	the	the	DET
agb-192	117	14	leaves	leave	NOUN
agb-192	117	15	.	.	PUNCT
agb-192	118	1	this	this	PRON
agb-192	118	2	complicates	complicate	VERB
agb-192	118	3	the	the	DET
agb-192	118	4	detection	detection	NOUN
agb-192	118	5	process	process	NOUN
agb-192	118	6	.	.	PUNCT
agb-192	119	1	5	5	X
agb-192	119	2	.	.	X
agb-192	119	3	image	image	NOUN
agb-192	119	4	quality	quality	NOUN
agb-192	119	5	is	be	AUX
agb-192	119	6	affected	affect	VERB
agb-192	119	7	by	by	ADP
agb-192	119	8	environmental	environmental	ADJ
agb-192	119	9	conditions	condition	NOUN
agb-192	119	10	,	,	PUNCT
agb-192	119	11	camera	camera	NOUN
agb-192	119	12	fidelity	fidelity	NOUN
agb-192	119	13	,	,	PUNCT
agb-192	119	14	and	and	CCONJ
agb-192	119	15	the	the	DET
agb-192	119	16	atmosphere	atmosphere	NOUN
agb-192	119	17	.	.	PUNCT
agb-192	120	1	6	6	X
agb-192	120	2	.	.	X
agb-192	120	3	drawing	draw	VERB
agb-192	120	4	a	a	DET
agb-192	120	5	sharp	sharp	ADJ
agb-192	120	6	,	,	PUNCT
agb-192	120	7	well	well	ADV
agb-192	120	8	-	-	PUNCT
agb-192	120	9	defined	define	VERB
agb-192	120	10	line	line	NOUN
agb-192	120	11	between	between	ADP
agb-192	120	12	infected	infected	ADJ
agb-192	120	13	and	and	CCONJ
agb-192	120	14	uninfected	uninfected	ADJ
agb-192	120	15	areas	area	NOUN
agb-192	120	16	is	be	AUX
agb-192	120	17	difficult	difficult	ADJ
agb-192	120	18	.	.	PUNCT
agb-192	121	1	7	7	X
agb-192	121	2	.	.	X
agb-192	121	3	the	the	DET
agb-192	121	4	disease	disease	NOUN
agb-192	121	5	's	's	PART
agb-192	121	6	symptoms	symptom	NOUN
agb-192	121	7	are	be	AUX
agb-192	121	8	not	not	PART
agb-192	121	9	typical	typical	ADJ
agb-192	121	10	.	.	PUNCT
agb-192	122	1	climate	climate	NOUN
agb-192	122	2	,	,	PUNCT
agb-192	122	3	environment	environment	NOUN
agb-192	122	4	,	,	PUNCT
agb-192	122	5	and	and	CCONJ
agb-192	122	6	geographic	geographic	ADJ
agb-192	122	7	location	location	NOUN
agb-192	122	8	influence	influence	NOUN
agb-192	122	9	changes	change	NOUN
agb-192	122	10	in	in	ADP
agb-192	122	11	disease	disease	NOUN
agb-192	122	12	-	-	PUNCT
agb-192	122	13	causing	cause	VERB
agb-192	122	14	agents	agent	NOUN
agb-192	122	15	.	.	PUNCT
agb-192	123	1	this	this	PRON
agb-192	123	2	makes	make	VERB
agb-192	123	3	the	the	DET
agb-192	123	4	detection	detection	NOUN
agb-192	123	5	and	and	CCONJ
agb-192	123	6	labeling	labeling	NOUN
agb-192	123	7	processes	process	NOUN
agb-192	123	8	difficult	difficult	ADJ
agb-192	123	9	.	.	PUNCT
agb-192	124	1	the	the	DET
agb-192	124	2	enumerated	enumerate	VERB
agb-192	124	3	difficulties	difficulty	NOUN
agb-192	124	4	in	in	ADP
agb-192	124	5	leaf	leaf	NOUN
agb-192	124	6	disease	disease	NOUN
agb-192	124	7	classification	classification	NOUN
agb-192	124	8	demonstrate	demonstrate	VERB
agb-192	124	9	the	the	DET
agb-192	124	10	need	need	NOUN
agb-192	124	11	for	for	ADP
agb-192	124	12	a	a	DET
agb-192	124	13	comprehensive	comprehensive	ADJ
agb-192	124	14	and	and	CCONJ
agb-192	124	15	robust	robust	ADJ
agb-192	124	16	framework	framework	NOUN
agb-192	124	17	for	for	ADP
agb-192	124	18	labeling	label	VERB
agb-192	124	19	leaf	leaf	NOUN
agb-192	124	20	diseases	disease	NOUN
agb-192	124	21	in	in	ADP
agb-192	124	22	given	give	VERB
agb-192	124	23	leaf	leaf	NOUN
agb-192	124	24	samples	sample	NOUN
agb-192	124	25	.	.	PUNCT
agb-192	125	1	according	accord	VERB
agb-192	125	2	to	to	ADP
agb-192	125	3	the	the	DET
agb-192	125	4	available	available	ADJ
agb-192	125	5	literature	literature	NOUN
agb-192	125	6	,	,	PUNCT
agb-192	125	7	only	only	ADV
agb-192	125	8	a	a	DET
agb-192	125	9	few	few	ADJ
agb-192	125	10	models	model	NOUN
agb-192	125	11	can	can	AUX
agb-192	125	12	accurately	accurately	ADV
agb-192	125	13	identify	identify	VERB
agb-192	125	14	leaf	leaf	NOUN
agb-192	125	15	diseases	disease	NOUN
agb-192	125	16	.	.	PUNCT
agb-192	126	1	the	the	DET
agb-192	126	2	pre	pre	ADJ
agb-192	126	3	-	-	ADJ
agb-192	126	4	trained	train	VERB
agb-192	126	5	yolo	yolo	ADJ
agb-192	126	6	model	model	NOUN
agb-192	126	7	is	be	AUX
agb-192	126	8	one	one	NUM
agb-192	126	9	of	of	ADP
agb-192	126	10	the	the	DET
agb-192	126	11	most	most	ADV
agb-192	126	12	effective	effective	ADJ
agb-192	126	13	leaf	leaf	NOUN
agb-192	126	14	disease	disease	NOUN
agb-192	126	15	detection	detection	NOUN
agb-192	126	16	methods	method	NOUN
agb-192	126	17	in	in	ADP
agb-192	126	18	ssd	ssd	NOUN
agb-192	126	19	.	.	PUNCT
agb-192	127	1	there	there	PRON
agb-192	127	2	are	be	VERB
agb-192	127	3	numerous	numerous	ADJ
agb-192	127	4	versions	version	NOUN
agb-192	127	5	and	and	CCONJ
agb-192	127	6	updates	update	NOUN
agb-192	127	7	of	of	ADP
agb-192	127	8	the	the	DET
agb-192	127	9	yolo	yolo	ADJ
agb-192	127	10	framework	framework	NOUN
agb-192	127	11	.	.	PUNCT
agb-192	128	1	this	this	DET
agb-192	128	2	work	work	NOUN
agb-192	128	3	compares	compare	VERB
agb-192	128	4	the	the	DET
agb-192	128	5	architectures	architecture	NOUN
agb-192	128	6	,	,	PUNCT
agb-192	128	7	features	feature	NOUN
agb-192	128	8	,	,	PUNCT
agb-192	128	9	and	and	CCONJ
agb-192	128	10	prediction	prediction	NOUN
agb-192	128	11	efficiency	efficiency	NOUN
agb-192	128	12	of	of	ADP
agb-192	128	13	yolo	yolo	ADJ
agb-192	128	14	v4	v4	NOUN
agb-192	128	15	and	and	CCONJ
agb-192	128	16	yolo	yolo	ADJ
agb-192	128	17	v7	v7	NOUN
agb-192	128	18	in	in	ADP
agb-192	128	19	the	the	DET
agb-192	128	20	context	context	NOUN
agb-192	128	21	of	of	ADP
agb-192	128	22	leaf	leaf	NOUN
agb-192	128	23	disease	disease	NOUN
agb-192	128	24	prediction	prediction	NOUN
agb-192	128	25	.	.	PUNCT
agb-192	129	1	4	4	X
agb-192	129	2	.	.	X
agb-192	129	3	yolo	yolo	PROPN
agb-192	129	4	v4	v4	PROPN
agb-192	129	5	in	in	ADP
agb-192	129	6	the	the	DET
agb-192	129	7	classification	classification	NOUN
agb-192	129	8	of	of	ADP
agb-192	129	9	plant	plant	NOUN
agb-192	129	10	leaf	leaf	NOUN
agb-192	129	11	disease	disease	NOUN
agb-192	129	12	the	the	DET
agb-192	129	13	study	study	NOUN
agb-192	129	14	of	of	ADP
agb-192	129	15	cv	cv	PROPN
agb-192	129	16	algorithms	algorithm	NOUN
agb-192	129	17	reveals	reveal	VERB
agb-192	129	18	the	the	DET
agb-192	129	19	use	use	NOUN
agb-192	129	20	of	of	ADP
agb-192	129	21	numerous	numerous	ADJ
agb-192	129	22	versions	version	NOUN
agb-192	129	23	of	of	ADP
agb-192	129	24	yolo	yolo	NOUN
agb-192	129	25	,	,	PUNCT
agb-192	129	26	such	such	ADJ
agb-192	129	27	as	as	ADP
agb-192	129	28	yolov2	yolov2	PROPN
agb-192	129	29	,	,	PUNCT
agb-192	129	30	yolov3	yolov3	PROPN
agb-192	129	31	,	,	PUNCT
agb-192	129	32	yolov4	yolov4	PROPN
agb-192	129	33	,	,	PUNCT
agb-192	129	34	agbioforum	agbioforum	PROPN
agb-192	129	35	,	,	PUNCT
agb-192	129	36	25(1	25(1	NUM
agb-192	129	37	)	)	PUNCT
agb-192	129	38	,	,	PUNCT
agb-192	129	39	2023	2023	NUM
agb-192	129	40	|	|	ADV
agb-192	129	41	62	62	NUM
agb-192	129	42	xinming	xinming	NOUN
agb-192	129	43	,	,	PUNCT
agb-192	129	44	hong	hong	PROPN
agb-192	129	45	,	,	PUNCT
agb-192	129	46	mohd	mohd	PROPN
agb-192	129	47	ariffin	ariffin	NOUN
agb-192	129	48	,	,	PUNCT
agb-192	129	49	ismail	ismail	PROPN
agb-192	129	50	.	.	PUNCT
agb-192	130	1	—	—	PUNCT
agb-192	130	2	comparative	comparative	ADJ
agb-192	130	3	study	study	NOUN
agb-192	130	4	on	on	ADP
agb-192	130	5	leaf	leaf	NOUN
agb-192	130	6	disease	disease	NOUN
agb-192	130	7	identification	identification	NOUN
agb-192	130	8	using	use	VERB
agb-192	130	9	yolo	yolo	ADJ
agb-192	130	10	v4	v4	NOUN
agb-192	130	11	and	and	CCONJ
agb-192	130	12	yolo	yolo	ADJ
agb-192	130	13	v7	v7	VERB
agb-192	130	14	algorithm	algorithm	NOUN
agb-192	130	15	yolov7	yolov7	NOUN
agb-192	130	16	,	,	PUNCT
agb-192	130	17	etc	etc	X
agb-192	130	18	.	.	X
agb-192	131	1	the	the	DET
agb-192	131	2	construction	construction	NOUN
agb-192	131	3	of	of	ADP
agb-192	131	4	many	many	ADJ
agb-192	131	5	residual	residual	ADJ
agb-192	131	6	network	network	NOUN
agb-192	131	7	modules	module	NOUN
agb-192	131	8	that	that	PRON
agb-192	131	9	support	support	VERB
agb-192	131	10	multi	multi	ADJ
agb-192	131	11	-	-	ADJ
agb-192	131	12	scale	scale	ADJ
agb-192	131	13	prediction	prediction	NOUN
agb-192	131	14	is	be	AUX
agb-192	131	15	a	a	DET
agb-192	131	16	key	key	ADJ
agb-192	131	17	factor	factor	NOUN
agb-192	131	18	that	that	PRON
agb-192	131	19	has	have	AUX
agb-192	131	20	made	make	VERB
agb-192	131	21	the	the	DET
agb-192	131	22	pre	pre	ADJ
agb-192	131	23	-	-	ADJ
agb-192	131	24	trained	train	VERB
agb-192	131	25	yolo	yolo	ADJ
agb-192	131	26	models	model	NOUN
agb-192	131	27	more	more	ADV
agb-192	131	28	successful	successful	ADJ
agb-192	131	29	than	than	ADP
agb-192	131	30	other	other	ADJ
agb-192	131	31	dl	dl	PROPN
agb-192	131	32	-	-	PUNCT
agb-192	131	33	based	base	VERB
agb-192	131	34	cv	cv	NOUN
agb-192	131	35	models	model	NOUN
agb-192	131	36	.	.	PUNCT
agb-192	132	1	this	this	PRON
agb-192	132	2	significantly	significantly	ADV
agb-192	132	3	improves	improve	VERB
agb-192	132	4	the	the	DET
agb-192	132	5	accuracy	accuracy	NOUN
agb-192	132	6	of	of	ADP
agb-192	132	7	predictions	prediction	NOUN
agb-192	132	8	.	.	PUNCT
agb-192	133	1	this	this	DET
agb-192	133	2	study	study	NOUN
agb-192	133	3	contrasts	contrast	VERB
agb-192	133	4	two	two	NUM
agb-192	133	5	successful	successful	ADJ
agb-192	133	6	yolo	yolo	ADJ
agb-192	133	7	versions	version	NOUN
agb-192	133	8	,	,	PUNCT
agb-192	133	9	yolov4	yolov4	PROPN
agb-192	133	10	and	and	CCONJ
agb-192	133	11	yolov7	yolov7	NOUN
agb-192	133	12	,	,	PUNCT
agb-192	133	13	for	for	ADP
agb-192	133	14	classifying	classify	VERB
agb-192	133	15	the	the	DET
agb-192	133	16	detection	detection	NOUN
agb-192	133	17	of	of	ADP
agb-192	133	18	plant	plant	NOUN
agb-192	133	19	leaf	leaf	NOUN
agb-192	133	20	diseases	disease	NOUN
agb-192	133	21	.	.	PUNCT
agb-192	134	1	the	the	DET
agb-192	134	2	rgb	rgb	PROPN
agb-192	134	3	images	image	NOUN
agb-192	134	4	of	of	ADP
agb-192	134	5	multiple	multiple	ADJ
agb-192	134	6	plant	plant	NOUN
agb-192	134	7	foliage	foliage	NOUN
agb-192	134	8	of	of	ADP
agb-192	134	9	different	different	ADJ
agb-192	134	10	species	specie	NOUN
agb-192	134	11	with	with	ADP
agb-192	134	12	various	various	ADJ
agb-192	134	13	diseases	disease	NOUN
agb-192	134	14	are	be	AUX
agb-192	134	15	input	input	ADJ
agb-192	134	16	to	to	ADP
agb-192	134	17	the	the	DET
agb-192	134	18	models	model	NOUN
agb-192	134	19	.	.	PUNCT
agb-192	135	1	each	each	DET
agb-192	135	2	image	image	NOUN
agb-192	135	3	is	be	AUX
agb-192	135	4	partitioned	partition	VERB
agb-192	135	5	into	into	ADP
agb-192	135	6	s	s	PRON
agb-192	135	7	x	x	X
agb-192	135	8	s	s	PART
agb-192	135	9	grids	grid	NOUN
agb-192	135	10	.	.	PUNCT
agb-192	136	1	as	as	ADP
agb-192	136	2	prediction	prediction	NOUN
agb-192	136	3	metrics	metric	NOUN
agb-192	136	4	,	,	PUNCT
agb-192	136	5	the	the	DET
agb-192	136	6	yolo	yolo	ADJ
agb-192	136	7	models	model	NOUN
agb-192	136	8	utilize	utilize	VERB
agb-192	136	9	confidence	confidence	NOUN
agb-192	136	10	scores	score	NOUN
agb-192	136	11	.	.	PUNCT
agb-192	137	1	the	the	DET
agb-192	137	2	score	score	NOUN
agb-192	137	3	of	of	ADP
agb-192	137	4	confidence	confidence	NOUN
agb-192	137	5	for	for	ADP
agb-192	137	6	a	a	DET
agb-192	137	7	sound	sound	ADJ
agb-192	137	8	leaf	leaf	NOUN
agb-192	137	9	will	will	AUX
agb-192	137	10	be	be	AUX
agb-192	137	11	returned	return	VERB
agb-192	137	12	as	as	ADP
agb-192	137	13	0	0	NUM
agb-192	137	14	.	.	PUNCT
agb-192	138	1	in	in	ADP
agb-192	138	2	the	the	DET
agb-192	138	3	case	case	NOUN
agb-192	138	4	of	of	ADP
agb-192	138	5	diseased	diseased	ADJ
agb-192	138	6	leaves	leave	NOUN
agb-192	138	7	,	,	PUNCT
agb-192	138	8	the	the	DET
agb-192	138	9	predicted	predict	VERB
agb-192	138	10	confidence	confidence	NOUN
agb-192	138	11	score	score	NOUN
agb-192	138	12	is	be	AUX
agb-192	138	13	calculated	calculate	VERB
agb-192	138	14	using	use	VERB
agb-192	138	15	the	the	DET
agb-192	138	16	intersection	intersection	NOUN
agb-192	138	17	over	over	ADP
agb-192	138	18	union	union	NOUN
agb-192	138	19	(	(	PUNCT
agb-192	138	20	iou	iou	PROPN
agb-192	138	21	)	)	PUNCT
agb-192	138	22	between	between	ADP
agb-192	138	23	the	the	DET
agb-192	138	24	prediction	prediction	NOUN
agb-192	138	25	bounding	bounding	NOUN
agb-192	138	26	box	box	NOUN
agb-192	138	27	and	and	CCONJ
agb-192	138	28	the	the	DET
agb-192	138	29	ground	ground	NOUN
agb-192	138	30	truth	truth	NOUN
agb-192	138	31	.	.	PUNCT
agb-192	139	1	this	this	DET
agb-192	139	2	ssd	ssd	NOUN
agb-192	139	3	algorithm	algorithm	NOUN
agb-192	139	4	employs	employ	VERB
agb-192	139	5	multiple	multiple	ADJ
agb-192	139	6	3	3	NUM
agb-192	139	7	x	x	SYM
agb-192	139	8	3	3	NUM
agb-192	139	9	and	and	CCONJ
agb-192	139	10	1	1	NUM
agb-192	139	11	x	x	SYM
agb-192	139	12	1	1	NUM
agb-192	139	13	convolution	convolution	NOUN
agb-192	139	14	layers	layer	NOUN
agb-192	139	15	to	to	PART
agb-192	139	16	extract	extract	VERB
agb-192	139	17	leaf	leaf	NOUN
agb-192	139	18	image	image	NOUN
agb-192	139	19	features	feature	NOUN
agb-192	139	20	.	.	PUNCT
agb-192	140	1	the	the	DET
agb-192	140	2	principal	principal	ADJ
agb-192	140	3	components	component	NOUN
agb-192	140	4	of	of	ADP
agb-192	140	5	yolo	yolo	PROPN
agb-192	140	6	are	be	AUX
agb-192	140	7	the	the	DET
agb-192	140	8	backbone	backbone	NOUN
agb-192	140	9	network	network	NOUN
agb-192	140	10	and	and	CCONJ
agb-192	140	11	the	the	DET
agb-192	140	12	cranium	cranium	NOUN
agb-192	140	13	and	and	CCONJ
agb-192	140	14	neck	neck	NOUN
agb-192	140	15	.	.	PUNCT
agb-192	141	1	the	the	DET
agb-192	141	2	proposed	propose	VERB
agb-192	141	3	yolov4	yolov4	PROPN
agb-192	141	4	model	model	PROPN
agb-192	141	5	utilizes	utilize	VERB
agb-192	141	6	the	the	DET
agb-192	141	7	cross	cross	ADJ
agb-192	141	8	stage	stage	NOUN
agb-192	141	9	partial	partial	ADJ
agb-192	141	10	darknet53	darknet53	NOUN
agb-192	141	11	to	to	PART
agb-192	141	12	extract	extract	VERB
agb-192	141	13	important	important	ADJ
agb-192	141	14	image	image	NOUN
agb-192	141	15	features	feature	NOUN
agb-192	141	16	.	.	PUNCT
agb-192	142	1	this	this	PRON
agb-192	142	2	serves	serve	VERB
agb-192	142	3	as	as	ADP
agb-192	142	4	a	a	DET
agb-192	142	5	feature	feature	NOUN
agb-192	142	6	extractor	extractor	NOUN
agb-192	142	7	because	because	SCONJ
agb-192	142	8	it	it	PRON
agb-192	142	9	consists	consist	VERB
agb-192	142	10	of	of	ADP
agb-192	142	11	convolutional	convolutional	ADJ
agb-192	142	12	and	and	CCONJ
agb-192	142	13	csp	csp	PROPN
agb-192	142	14	blocks	block	NOUN
agb-192	142	15	.	.	PUNCT
agb-192	143	1	these	these	DET
agb-192	143	2	blocks	block	NOUN
agb-192	143	3	divide	divide	VERB
agb-192	143	4	the	the	DET
agb-192	143	5	feature	feature	NOUN
agb-192	143	6	maps	map	NOUN
agb-192	143	7	and	and	CCONJ
agb-192	143	8	then	then	ADV
agb-192	143	9	converge	converge	VERB
agb-192	143	10	them	they	PRON
agb-192	143	11	cross	cross	ADJ
agb-192	143	12	-	-	NOUN
agb-192	143	13	phase	phase	NOUN
agb-192	143	14	.	.	PUNCT
agb-192	144	1	this	this	PRON
agb-192	144	2	enables	enable	VERB
agb-192	144	3	the	the	DET
agb-192	144	4	propagation	propagation	NOUN
agb-192	144	5	of	of	ADP
agb-192	144	6	important	important	ADJ
agb-192	144	7	information	information	NOUN
agb-192	144	8	as	as	ADP
agb-192	144	9	gradients	gradient	NOUN
agb-192	144	10	.	.	PUNCT
agb-192	145	1	fig	fig	NOUN
agb-192	145	2	.	.	PUNCT
agb-192	146	1	8	8	NUM
agb-192	146	2	depicts	depict	VERB
agb-192	146	3	the	the	DET
agb-192	146	4	configuration	configuration	NOUN
agb-192	146	5	details	detail	NOUN
agb-192	146	6	of	of	ADP
agb-192	146	7	yolo	yolo	ADJ
agb-192	146	8	version	version	NOUN
agb-192	146	9	4	4	NUM
agb-192	146	10	.	.	PUNCT
agb-192	146	11	fig	fig	NOUN
agb-192	146	12	8	8	NUM
agb-192	146	13	:	:	PUNCT
agb-192	146	14	configuration	configuration	NOUN
agb-192	146	15	details	detail	NOUN
agb-192	146	16	of	of	ADP
agb-192	146	17	yolov4	yolov4	NOUN
agb-192	146	18	figure	figure	NOUN
agb-192	146	19	9	9	NUM
agb-192	146	20	depicts	depict	VERB
agb-192	146	21	the	the	DET
agb-192	146	22	yolo	yolo	ADJ
agb-192	146	23	architecture	architecture	NOUN
agb-192	146	24	for	for	ADP
agb-192	146	25	classifying	classify	VERB
agb-192	146	26	leaf	leaf	NOUN
agb-192	146	27	diseases	disease	NOUN
agb-192	146	28	.	.	PUNCT
agb-192	147	1	as	as	ADP
agb-192	147	2	part	part	NOUN
agb-192	147	3	of	of	ADP
agb-192	147	4	dimensionality	dimensionality	NOUN
agb-192	147	5	reduction	reduction	NOUN
agb-192	147	6	,	,	PUNCT
agb-192	147	7	a	a	DET
agb-192	147	8	maxpooling	maxpoole	VERB
agb-192	147	9	layer	layer	NOUN
agb-192	147	10	is	be	AUX
agb-192	147	11	added	add	VERB
agb-192	147	12	following	follow	VERB
agb-192	147	13	every	every	DET
agb-192	147	14	convolution	convolution	NOUN
agb-192	147	15	backnorm	backnorm	NOUN
agb-192	147	16	and	and	CCONJ
agb-192	147	17	leaky	leaky	ADJ
agb-192	147	18	relu	relu	NOUN
agb-192	147	19	(	(	PUNCT
agb-192	147	20	cbl	cbl	PROPN
agb-192	147	21	)	)	PUNCT
agb-192	147	22	block	block	NOUN
agb-192	147	23	.	.	PUNCT
agb-192	148	1	each	each	DET
agb-192	148	2	cross	cross	ADJ
agb-192	148	3	stage	stage	NOUN
agb-192	148	4	partial	partial	ADJ
agb-192	148	5	(	(	PUNCT
agb-192	148	6	csp	csp	PROPN
agb-192	148	7	)	)	PUNCT
agb-192	148	8	is	be	AUX
agb-192	148	9	joined	join	VERB
agb-192	148	10	at	at	ADP
agb-192	148	11	both	both	DET
agb-192	148	12	extremities	extremity	NOUN
agb-192	148	13	to	to	ADP
agb-192	148	14	a	a	DET
agb-192	148	15	csp	csp	PROPN
agb-192	148	16	block	block	NOUN
agb-192	148	17	.	.	PUNCT
agb-192	149	1	the	the	DET
agb-192	149	2	path	path	NOUN
agb-192	149	3	aggregation	aggregation	NOUN
agb-192	149	4	network	network	NOUN
agb-192	149	5	(	(	PUNCT
agb-192	149	6	panet	panet	NOUN
agb-192	149	7	)	)	PUNCT
agb-192	149	8	serves	serve	VERB
agb-192	149	9	as	as	ADP
agb-192	149	10	the	the	DET
agb-192	149	11	model	model	NOUN
agb-192	149	12	's	's	PART
agb-192	149	13	spine	spine	NOUN
agb-192	149	14	.	.	PUNCT
agb-192	150	1	in	in	ADP
agb-192	150	2	addition	addition	NOUN
agb-192	150	3	,	,	PUNCT
agb-192	150	4	the	the	DET
agb-192	150	5	model	model	NOUN
agb-192	150	6	employs	employ	VERB
agb-192	150	7	spatial	spatial	ADJ
agb-192	150	8	pyramid	pyramid	NOUN
agb-192	150	9	pooling	pooling	NOUN
agb-192	150	10	(	(	PUNCT
agb-192	150	11	spp	spp	NOUN
agb-192	150	12	)	)	PUNCT
agb-192	150	13	,	,	PUNCT
agb-192	150	14	which	which	PRON
agb-192	150	15	is	be	AUX
agb-192	150	16	responsible	responsible	ADJ
agb-192	150	17	for	for	ADP
agb-192	150	18	compressing	compress	VERB
agb-192	150	19	the	the	DET
agb-192	150	20	input	input	NOUN
agb-192	150	21	derived	derive	VERB
agb-192	150	22	from	from	ADP
agb-192	150	23	multiple	multiple	ADJ
agb-192	150	24	convolution	convolution	NOUN
agb-192	150	25	layers	layer	NOUN
agb-192	150	26	to	to	PART
agb-192	150	27	produce	produce	VERB
agb-192	150	28	feature	feature	NOUN
agb-192	150	29	maps	map	NOUN
agb-192	150	30	with	with	ADP
agb-192	150	31	identical	identical	ADJ
agb-192	150	32	dimensions	dimension	NOUN
agb-192	150	33	.	.	PUNCT
agb-192	151	1	this	this	PRON
agb-192	151	2	improves	improve	VERB
agb-192	151	3	the	the	DET
agb-192	151	4	model	model	NOUN
agb-192	151	5	's	's	PART
agb-192	151	6	robustness	robustness	NOUN
agb-192	151	7	as	as	SCONJ
agb-192	151	8	it	it	PRON
agb-192	151	9	can	can	AUX
agb-192	151	10	manage	manage	VERB
agb-192	151	11	images	image	NOUN
agb-192	151	12	with	with	ADP
agb-192	151	13	dimensions	dimension	NOUN
agb-192	151	14	greater	great	ADJ
agb-192	151	15	than	than	ADP
agb-192	151	16	(	(	PUNCT
agb-192	151	17	w	w	PROPN
agb-192	151	18	,	,	PUNCT
agb-192	151	19	h)=	h)=	NOUN
agb-192	151	20	(	(	PUNCT
agb-192	151	21	180	180	NUM
agb-192	151	22	,	,	PUNCT
agb-192	151	23	224	224	NUM
agb-192	151	24	)	)	PUNCT
agb-192	151	25	and	and	CCONJ
agb-192	151	26	images	image	NOUN
agb-192	151	27	with	with	ADP
agb-192	151	28	arbitrary	arbitrary	ADJ
agb-192	151	29	scaling	scaling	NOUN
agb-192	151	30	.	.	PUNCT
agb-192	152	1	the	the	DET
agb-192	152	2	panet	panet	NOUN
agb-192	152	3	in	in	ADP
agb-192	152	4	yolov4	yolov4	PROPN
agb-192	152	5	combined	combine	VERB
agb-192	152	6	the	the	DET
agb-192	152	7	bottom	bottom	NOUN
agb-192	152	8	-	-	PUNCT
agb-192	152	9	up	up	NOUN
agb-192	152	10	and	and	CCONJ
agb-192	152	11	topdown	topdown	ADJ
agb-192	152	12	trajectories	trajectory	NOUN
agb-192	152	13	of	of	ADP
agb-192	152	14	feature	feature	NOUN
agb-192	152	15	vectors	vector	NOUN
agb-192	152	16	to	to	PART
agb-192	152	17	preserve	preserve	VERB
agb-192	152	18	semantic	semantic	ADJ
agb-192	152	19	information	information	NOUN
agb-192	152	20	in	in	ADP
agb-192	152	21	the	the	DET
agb-192	152	22	feature	feature	NOUN
agb-192	152	23	maps	map	NOUN
agb-192	152	24	(	(	PUNCT
agb-192	152	25	sarkar	sarkar	PROPN
agb-192	152	26	&	&	CCONJ
agb-192	152	27	johnson	johnson	PROPN
agb-192	152	28	,	,	PUNCT
agb-192	152	29	2022	2022	NUM
agb-192	152	30	)	)	PUNCT
agb-192	152	31	.	.	PUNCT
agb-192	153	1	this	this	PRON
agb-192	153	2	improves	improve	VERB
agb-192	153	3	instance	instance	NOUN
agb-192	153	4	-	-	PUNCT
agb-192	153	5	based	base	VERB
agb-192	153	6	segmentation	segmentation	NOUN
agb-192	153	7	while	while	SCONJ
agb-192	153	8	simultaneously	simultaneously	ADV
agb-192	153	9	preserving	preserve	VERB
agb-192	153	10	contextual	contextual	ADJ
agb-192	153	11	and	and	CCONJ
agb-192	153	12	spatial	spatial	ADJ
agb-192	153	13	information	information	NOUN
agb-192	153	14	.	.	PUNCT
agb-192	154	1	this	this	DET
agb-192	154	2	information	information	NOUN
agb-192	154	3	is	be	AUX
agb-192	154	4	crucial	crucial	ADJ
agb-192	154	5	for	for	ADP
agb-192	154	6	disease	disease	NOUN
agb-192	154	7	identification	identification	NOUN
agb-192	154	8	in	in	ADP
agb-192	154	9	leaves	leave	NOUN
agb-192	154	10	,	,	PUNCT
agb-192	154	11	as	as	ADV
agb-192	154	12	healthy	healthy	ADJ
agb-192	154	13	and	and	CCONJ
agb-192	154	14	infected	infected	ADJ
agb-192	154	15	regions	region	NOUN
agb-192	154	16	are	be	AUX
agb-192	154	17	nearby	nearby	ADV
agb-192	154	18	within	within	ADP
agb-192	154	19	a	a	DET
agb-192	154	20	small	small	ADJ
agb-192	154	21	area	area	NOUN
agb-192	154	22	.	.	PUNCT
agb-192	155	1	this	this	DET
agb-192	155	2	work	work	NOUN
agb-192	155	3	utilizes	utilize	VERB
agb-192	155	4	yolo	yolo	ADJ
agb-192	155	5	v4	v4	NOUN
agb-192	155	6	with	with	ADP
agb-192	155	7	26	26	NUM
agb-192	155	8	x	x	SYM
agb-192	155	9	26	26	NUM
agb-192	155	10	and	and	CCONJ
agb-192	155	11	13	13	NUM
agb-192	155	12	13	13	NUM
agb-192	155	13	feature	feature	NOUN
agb-192	155	14	maps	map	NOUN
agb-192	155	15	.	.	PUNCT
agb-192	156	1	fig	fig	NOUN
agb-192	156	2	9	9	NUM
agb-192	156	3	:	:	PUNCT
agb-192	156	4	yolov4	yolov4	PROPN
agb-192	156	5	model	model	NOUN
agb-192	156	6	to	to	PART
agb-192	156	7	predict	predict	VERB
agb-192	156	8	the	the	DET
agb-192	156	9	leaf	leaf	NOUN
agb-192	156	10	disease	disease	NOUN
agb-192	156	11	agbioforum	agbioforum	NOUN
agb-192	156	12	,	,	PUNCT
agb-192	156	13	25(1	25(1	NUM
agb-192	156	14	)	)	PUNCT
agb-192	156	15	,	,	PUNCT
agb-192	156	16	2023	2023	NUM
agb-192	156	17	|	|	NOUN
agb-192	156	18	63	63	NUM
agb-192	156	19	xinming	xinming	NOUN
agb-192	156	20	,	,	PUNCT
agb-192	156	21	hong	hong	PROPN
agb-192	156	22	,	,	PUNCT
agb-192	156	23	mohd	mohd	PROPN
agb-192	156	24	ariffin	ariffin	NOUN
agb-192	156	25	,	,	PUNCT
agb-192	156	26	ismail	ismail	PROPN
agb-192	156	27	.	.	PUNCT
agb-192	157	1	—	—	PUNCT
agb-192	157	2	comparative	comparative	ADJ
agb-192	157	3	study	study	NOUN
agb-192	157	4	on	on	ADP
agb-192	157	5	leaf	leaf	NOUN
agb-192	157	6	disease	disease	NOUN
agb-192	157	7	identification	identification	NOUN
agb-192	157	8	using	use	VERB
agb-192	157	9	yolo	yolo	ADJ
agb-192	157	10	v4	v4	NOUN
agb-192	157	11	and	and	CCONJ
agb-192	157	12	yolo	yolo	ADJ
agb-192	157	13	v7	v7	VERB
agb-192	157	14	algorithm	algorithm	NOUN
agb-192	157	15	5	5	NUM
agb-192	157	16	.	.	PUNCT
agb-192	157	17	yolo	yolo	PROPN
agb-192	157	18	v7	v7	NOUN
agb-192	157	19	in	in	ADP
agb-192	157	20	the	the	DET
agb-192	157	21	classification	classification	NOUN
agb-192	157	22	of	of	ADP
agb-192	157	23	plant	plant	NOUN
agb-192	157	24	leaf	leaf	NOUN
agb-192	157	25	diseases	disease	NOUN
agb-192	157	26	yolo	yolo	ADJ
agb-192	157	27	v7	v7	NOUN
agb-192	157	28	is	be	AUX
agb-192	157	29	used	use	VERB
agb-192	157	30	to	to	PART
agb-192	157	31	classify	classify	VERB
agb-192	157	32	plant	plant	NOUN
agb-192	157	33	leaf	leaf	NOUN
agb-192	157	34	disease	disease	NOUN
agb-192	157	35	from	from	ADP
agb-192	157	36	healthy	healthy	ADJ
agb-192	157	37	leaves	leave	NOUN
agb-192	157	38	by	by	ADP
agb-192	157	39	drawing	draw	VERB
agb-192	157	40	bounding	bounding	NOUN
agb-192	157	41	outlines	outline	NOUN
agb-192	157	42	.	.	PUNCT
agb-192	158	1	figure	figure	NOUN
agb-192	158	2	9	9	NUM
agb-192	158	3	depicts	depict	VERB
agb-192	158	4	the	the	DET
agb-192	158	5	entire	entire	ADJ
agb-192	158	6	yolo	yolo	ADJ
agb-192	158	7	architecture	architecture	NOUN
agb-192	158	8	for	for	ADP
agb-192	158	9	plant	plant	NOUN
agb-192	158	10	leaf	leaf	NOUN
agb-192	158	11	disease	disease	NOUN
agb-192	158	12	detection	detection	NOUN
agb-192	158	13	and	and	CCONJ
agb-192	158	14	classification	classification	NOUN
agb-192	158	15	.	.	PUNCT
agb-192	159	1	the	the	DET
agb-192	159	2	deployed	deploy	VERB
agb-192	159	3	model	model	NOUN
agb-192	159	4	draws	draw	VERB
agb-192	159	5	prominent	prominent	ADJ
agb-192	159	6	bounding	bounding	NOUN
agb-192	159	7	outlines	outline	NOUN
agb-192	159	8	around	around	ADP
agb-192	159	9	infected	infected	ADJ
agb-192	159	10	regions	region	NOUN
agb-192	159	11	with	with	ADP
agb-192	159	12	greater	great	ADJ
agb-192	159	13	precision	precision	NOUN
agb-192	159	14	and	and	CCONJ
agb-192	159	15	speed	speed	NOUN
agb-192	159	16	.	.	PUNCT
agb-192	160	1	the	the	DET
agb-192	160	2	following	follow	VERB
agb-192	160	3	are	be	AUX
agb-192	160	4	notable	notable	ADJ
agb-192	160	5	features	feature	NOUN
agb-192	160	6	of	of	ADP
agb-192	160	7	yolo	yolo	ADJ
agb-192	160	8	v7	v7	NUM
agb-192	160	9	:	:	PUNCT
agb-192	160	10	•	•	NUM
agb-192	160	11	yolov7	yolov7	NOUN
agb-192	160	12	uses	use	VERB
agb-192	160	13	the	the	DET
agb-192	160	14	concept	concept	NOUN
agb-192	160	15	of	of	ADP
agb-192	160	16	bag	bag	NOUN
agb-192	160	17	-	-	PUNCT
agb-192	160	18	of	of	ADP
agb-192	160	19	-	-	PUNCT
agb-192	160	20	freebies	freebie	NOUN
agb-192	160	21	methods	method	NOUN
agb-192	160	22	for	for	ADP
agb-192	160	23	object	object	NOUN
agb-192	160	24	detection	detection	NOUN
agb-192	160	25	.	.	PUNCT
agb-192	161	1	•	•	NUM
agb-192	161	2	the	the	DET
agb-192	161	3	dynamic	dynamic	ADJ
agb-192	161	4	label	label	NOUN
agb-192	161	5	assignment	assignment	NOUN
agb-192	161	6	is	be	AUX
agb-192	161	7	a	a	DET
agb-192	161	8	distinguishing	distinguish	VERB
agb-192	161	9	feature	feature	NOUN
agb-192	161	10	of	of	ADP
agb-192	161	11	yolov7	yolov7	NOUN
agb-192	161	12	,	,	PUNCT
agb-192	161	13	which	which	PRON
agb-192	161	14	has	have	AUX
agb-192	161	15	specialized	specialize	VERB
agb-192	161	16	reparameterized	reparameterize	VERB
agb-192	161	17	modules	module	NOUN
agb-192	161	18	for	for	ADP
agb-192	161	19	achieving	achieve	VERB
agb-192	161	20	this	this	PRON
agb-192	161	21	.	.	PUNCT
agb-192	162	1	•	•	NOUN
agb-192	162	2	the	the	DET
agb-192	162	3	model	model	NOUN
agb-192	162	4	follows	follow	VERB
agb-192	162	5	extended	extended	ADJ
agb-192	162	6	and	and	CCONJ
agb-192	162	7	compound	compound	VERB
agb-192	162	8	scaling	scaling	NOUN
agb-192	162	9	to	to	PART
agb-192	162	10	finetune	finetune	VERB
agb-192	162	11	the	the	DET
agb-192	162	12	parameters	parameter	NOUN
agb-192	162	13	.	.	PUNCT
agb-192	163	1	fig	fig	NOUN
agb-192	163	2	10	10	NUM
agb-192	163	3	:	:	PUNCT
agb-192	163	4	yolo	yolo	ADJ
agb-192	163	5	v7	v7	VERB
agb-192	163	6	architecture	architecture	NOUN
agb-192	163	7	for	for	ADP
agb-192	163	8	plant	plant	NOUN
agb-192	163	9	leaf	leaf	NOUN
agb-192	163	10	disease	disease	NOUN
agb-192	163	11	classification	classification	NOUN
agb-192	163	12	the	the	DET
agb-192	163	13	yolov7	yolov7	NOUN
agb-192	163	14	architecture	architecture	NOUN
agb-192	163	15	utilizes	utilize	VERB
agb-192	163	16	extended	extend	VERB
agb-192	163	17	efficient	efficient	ADJ
agb-192	163	18	layer	layer	NOUN
agb-192	163	19	aggregation	aggregation	NOUN
agb-192	163	20	networks	network	NOUN
agb-192	163	21	(	(	PUNCT
agb-192	163	22	e	e	NOUN
agb-192	163	23	-	-	NOUN
agb-192	163	24	elan	elan	NOUN
agb-192	163	25	)	)	PUNCT
agb-192	163	26	to	to	PART
agb-192	163	27	stabilize	stabilize	VERB
agb-192	163	28	the	the	DET
agb-192	163	29	model	model	NOUN
agb-192	163	30	.	.	PUNCT
agb-192	164	1	regardless	regardless	ADV
agb-192	164	2	of	of	ADP
agb-192	164	3	the	the	DET
agb-192	164	4	gradient	gradient	ADJ
agb-192	164	5	path	path	NOUN
agb-192	164	6	length	length	NOUN
agb-192	164	7	,	,	PUNCT
agb-192	164	8	the	the	DET
agb-192	164	9	leaf	leaf	NOUN
agb-192	164	10	images	image	NOUN
agb-192	164	11	are	be	AUX
agb-192	164	12	processed	process	VERB
agb-192	164	13	by	by	ADP
agb-192	164	14	layering	layer	VERB
agb-192	164	15	computational	computational	ADJ
agb-192	164	16	blocks	block	NOUN
agb-192	164	17	vertically	vertically	ADV
agb-192	164	18	.	.	PUNCT
agb-192	165	1	the	the	DET
agb-192	165	2	e	e	NOUN
agb-192	165	3	-	-	NOUN
agb-192	165	4	elan	elan	NOUN
agb-192	165	5	uses	use	VERB
agb-192	165	6	the	the	DET
agb-192	165	7	expand	expand	VERB
agb-192	165	8	-	-	PUNCT
agb-192	165	9	shuffle	shuffle	NOUN
agb-192	165	10	-	-	PUNCT
agb-192	165	11	merge	merge	NOUN
agb-192	165	12	cardinality	cardinality	NOUN
agb-192	165	13	functions	function	NOUN
agb-192	165	14	to	to	PART
agb-192	165	15	enhance	enhance	VERB
agb-192	165	16	learning	learn	VERB
agb-192	165	17	without	without	ADP
agb-192	165	18	altering	alter	VERB
agb-192	165	19	the	the	DET
agb-192	165	20	gradient	gradient	ADJ
agb-192	165	21	path	path	NOUN
agb-192	165	22	.	.	PUNCT
agb-192	166	1	to	to	PART
agb-192	166	2	execute	execute	VERB
agb-192	166	3	these	these	DET
agb-192	166	4	operations	operation	NOUN
agb-192	166	5	,	,	PUNCT
agb-192	166	6	the	the	DET
agb-192	166	7	convolutions	convolution	NOUN
agb-192	166	8	are	be	AUX
agb-192	166	9	grouped	group	VERB
agb-192	166	10	to	to	PART
agb-192	166	11	increase	increase	VERB
agb-192	166	12	the	the	DET
agb-192	166	13	number	number	NOUN
agb-192	166	14	of	of	ADP
agb-192	166	15	channels	channel	NOUN
agb-192	166	16	and	and	CCONJ
agb-192	166	17	the	the	DET
agb-192	166	18	cardinality	cardinality	NOUN
agb-192	166	19	of	of	ADP
agb-192	166	20	the	the	DET
agb-192	166	21	blocks	block	NOUN
agb-192	166	22	.	.	PUNCT
agb-192	167	1	universally	universally	ADV
agb-192	167	2	,	,	PUNCT
agb-192	167	3	the	the	DET
agb-192	167	4	same	same	ADJ
agb-192	167	5	quantity	quantity	NOUN
agb-192	167	6	of	of	ADP
agb-192	167	7	group	group	NOUN
agb-192	167	8	parameters	parameter	NOUN
agb-192	167	9	and	and	CCONJ
agb-192	167	10	channel	channel	NOUN
agb-192	167	11	multiplier	multiplier	ADV
agb-192	167	12	is	be	AUX
agb-192	167	13	applied	apply	VERB
agb-192	167	14	to	to	ADP
agb-192	167	15	all	all	DET
agb-192	167	16	computational	computational	ADJ
agb-192	167	17	units	unit	NOUN
agb-192	167	18	.	.	PUNCT
agb-192	168	1	the	the	DET
agb-192	168	2	feature	feature	NOUN
agb-192	168	3	maps	map	NOUN
agb-192	168	4	are	be	AUX
agb-192	168	5	shuffled	shuffle	VERB
agb-192	168	6	into	into	ADP
agb-192	168	7	'	'	PUNCT
agb-192	168	8	g	g	NOUN
agb-192	168	9	'	'	PUNCT
agb-192	168	10	groups	group	NOUN
agb-192	168	11	based	base	VERB
agb-192	168	12	on	on	ADP
agb-192	168	13	the	the	DET
agb-192	168	14	specified	specify	VERB
agb-192	168	15	group	group	NOUN
agb-192	168	16	parameter	parameter	NOUN
agb-192	168	17	,	,	PUNCT
agb-192	168	18	then	then	ADV
agb-192	168	19	concatenated	concatenate	VERB
agb-192	168	20	to	to	PART
agb-192	168	21	preserve	preserve	VERB
agb-192	168	22	their	their	PRON
agb-192	168	23	originality	originality	NOUN
agb-192	168	24	.	.	PUNCT
agb-192	169	1	using	use	VERB
agb-192	169	2	the	the	DET
agb-192	169	3	merge	merge	NOUN
agb-192	169	4	cardinality	cardinality	NOUN
agb-192	169	5	function	function	NOUN
agb-192	169	6	,	,	PUNCT
agb-192	169	7	the	the	DET
agb-192	169	8	clusters	cluster	NOUN
agb-192	169	9	of	of	ADP
agb-192	169	10	feature	feature	NOUN
agb-192	169	11	maps	map	NOUN
agb-192	169	12	are	be	AUX
agb-192	169	13	then	then	ADV
agb-192	169	14	instructed	instruct	VERB
agb-192	169	15	to	to	PART
agb-192	169	16	learn	learn	VERB
agb-192	169	17	unique	unique	ADJ
agb-192	169	18	features	feature	NOUN
agb-192	169	19	.	.	PUNCT
agb-192	170	1	this	this	DET
agb-192	170	2	model	model	NOUN
agb-192	170	3	scales	scale	VERB
agb-192	170	4	the	the	DET
agb-192	170	5	model	model	NOUN
agb-192	170	6	to	to	PART
agb-192	170	7	modify	modify	VERB
agb-192	170	8	the	the	DET
agb-192	170	9	image	image	NOUN
agb-192	170	10	's	's	PART
agb-192	170	11	resolution	resolution	NOUN
agb-192	170	12	,	,	PUNCT
agb-192	170	13	depth	depth	NOUN
agb-192	170	14	,	,	PUNCT
agb-192	170	15	stage	stage	NOUN
agb-192	170	16	,	,	PUNCT
agb-192	170	17	and	and	CCONJ
agb-192	170	18	width	width	ADJ
agb-192	170	19	.	.	PUNCT
agb-192	171	1	yolov7	yolov7	PROPN
agb-192	171	2	employs	employ	VERB
agb-192	171	3	network	network	NOUN
agb-192	171	4	architecture	architecture	NOUN
agb-192	171	5	search	search	NOUN
agb-192	171	6	(	(	PUNCT
agb-192	171	7	nas	nas	PROPN
agb-192	171	8	)	)	PUNCT
agb-192	171	9	that	that	PRON
agb-192	171	10	iterates	iterate	VERB
agb-192	171	11	through	through	ADP
agb-192	171	12	image	image	NOUN
agb-192	171	13	parameters	parameter	NOUN
agb-192	171	14	to	to	PART
agb-192	171	15	converge	converge	VERB
agb-192	171	16	on	on	ADP
agb-192	171	17	the	the	DET
agb-192	171	18	optimal	optimal	ADJ
agb-192	171	19	scaling	scaling	NOUN
agb-192	171	20	factors	factor	NOUN
agb-192	171	21	,	,	PUNCT
agb-192	171	22	as	as	SCONJ
agb-192	171	23	opposed	oppose	VERB
agb-192	171	24	to	to	ADP
agb-192	171	25	the	the	DET
agb-192	171	26	compound	compound	NOUN
agb-192	171	27	model	model	NOUN
agb-192	171	28	scaling	scaling	NOUN
agb-192	171	29	,	,	PUNCT
agb-192	171	30	to	to	PART
agb-192	171	31	maintain	maintain	VERB
agb-192	171	32	depth	depth	NOUN
agb-192	171	33	and	and	CCONJ
agb-192	171	34	width	width	ADJ
agb-192	171	35	coherence	coherence	NOUN
agb-192	171	36	.	.	PUNCT
agb-192	172	1	the	the	DET
agb-192	172	2	compound	compound	NOUN
agb-192	172	3	scaling	scaling	NOUN
agb-192	172	4	process	process	NOUN
agb-192	172	5	is	be	AUX
agb-192	172	6	depicted	depict	VERB
agb-192	172	7	in	in	ADP
agb-192	172	8	figure	figure	NOUN
agb-192	172	9	11	11	NUM
agb-192	172	10	.	.	PUNCT
agb-192	173	1	fig	fig	NOUN
agb-192	173	2	11	11	NUM
agb-192	173	3	:	:	PUNCT
agb-192	173	4	compound	compound	NOUN
agb-192	173	5	model	model	NOUN
agb-192	173	6	scaling	scale	VERB
agb-192	173	7	in	in	ADP
agb-192	173	8	yolov7	yolov7	PROPN
agb-192	173	9	(	(	PUNCT
agb-192	173	10	wang	wang	PROPN
agb-192	173	11	,	,	PUNCT
agb-192	173	12	bochkovskiy	bochkovskiy	PROPN
agb-192	173	13	,	,	PUNCT
agb-192	173	14	&	&	CCONJ
agb-192	173	15	liao	liao	PROPN
agb-192	173	16	,	,	PUNCT
agb-192	173	17	2022	2022	NUM
agb-192	173	18	)	)	PUNCT
agb-192	173	19	agbioforum	agbioforum	NOUN
agb-192	173	20	,	,	PUNCT
agb-192	173	21	25(1	25(1	NUM
agb-192	173	22	)	)	PUNCT
agb-192	173	23	,	,	PUNCT
agb-192	173	24	2023	2023	NUM
agb-192	173	25	|	|	ADV
agb-192	173	26	64	64	NUM
agb-192	173	27	xinming	xinming	NOUN
agb-192	173	28	,	,	PUNCT
agb-192	173	29	hong	hong	PROPN
agb-192	173	30	,	,	PUNCT
agb-192	173	31	mohd	mohd	PROPN
agb-192	173	32	ariffin	ariffin	NOUN
agb-192	173	33	,	,	PUNCT
agb-192	173	34	ismail	ismail	PROPN
agb-192	173	35	.	.	PUNCT
agb-192	174	1	—	—	PUNCT
agb-192	174	2	comparative	comparative	ADJ
agb-192	174	3	study	study	NOUN
agb-192	174	4	on	on	ADP
agb-192	174	5	leaf	leaf	NOUN
agb-192	174	6	disease	disease	NOUN
agb-192	174	7	identification	identification	NOUN
agb-192	174	8	using	use	VERB
agb-192	174	9	yolo	yolo	ADJ
agb-192	174	10	v4	v4	NOUN
agb-192	174	11	and	and	CCONJ
agb-192	174	12	yolo	yolo	ADJ
agb-192	174	13	v7	v7	VERB
agb-192	174	14	algorithm	algorithm	NOUN
agb-192	174	15	the	the	DET
agb-192	174	16	yolov7	yolov7	NOUN
agb-192	174	17	architecture	architecture	NOUN
agb-192	174	18	uses	uses	AUX
agb-192	174	19	extended	extend	VERB
agb-192	174	20	efficient	efficient	ADJ
agb-192	174	21	layer	layer	NOUN
agb-192	174	22	aggregation	aggregation	NOUN
agb-192	174	23	networks	network	NOUN
agb-192	174	24	(	(	PUNCT
agb-192	174	25	e	e	NOUN
agb-192	174	26	-	-	NOUN
agb-192	174	27	elan	elan	NOUN
agb-192	174	28	)	)	PUNCT
agb-192	174	29	to	to	PART
agb-192	174	30	ensure	ensure	VERB
agb-192	174	31	the	the	DET
agb-192	174	32	stability	stability	NOUN
agb-192	174	33	of	of	ADP
agb-192	174	34	the	the	DET
agb-192	174	35	model	model	NOUN
agb-192	174	36	.	.	PUNCT
agb-192	175	1	regardless	regardless	ADV
agb-192	175	2	of	of	ADP
agb-192	175	3	the	the	DET
agb-192	175	4	gradient	gradient	ADJ
agb-192	175	5	path	path	NOUN
agb-192	175	6	length	length	NOUN
agb-192	175	7	,	,	PUNCT
agb-192	175	8	leaf	leaf	NOUN
agb-192	175	9	images	image	NOUN
agb-192	175	10	are	be	AUX
agb-192	175	11	processed	process	VERB
agb-192	175	12	by	by	ADP
agb-192	175	13	vertically	vertically	ADV
agb-192	175	14	stacking	stack	VERB
agb-192	175	15	computational	computational	ADJ
agb-192	175	16	blocks	block	NOUN
agb-192	175	17	.	.	PUNCT
agb-192	176	1	the	the	DET
agb-192	176	2	e	e	NOUN
agb-192	176	3	-	-	NOUN
agb-192	176	4	elan	elan	PROPN
agb-192	176	5	employs	employ	VERB
agb-192	176	6	the	the	DET
agb-192	176	7	expand	expand	VERB
agb-192	176	8	-	-	PUNCT
agb-192	176	9	shuffle	shuffle	NOUN
agb-192	176	10	-	-	PUNCT
agb-192	176	11	merge	merge	NOUN
agb-192	176	12	cardinality	cardinality	NOUN
agb-192	176	13	functions	function	NOUN
agb-192	176	14	to	to	PART
agb-192	176	15	improve	improve	VERB
agb-192	176	16	learning	learn	VERB
agb-192	176	17	without	without	ADP
agb-192	176	18	modifying	modify	VERB
agb-192	176	19	the	the	DET
agb-192	176	20	gradient	gradient	ADJ
agb-192	176	21	path	path	NOUN
agb-192	176	22	.	.	PUNCT
agb-192	177	1	in	in	ADP
agb-192	177	2	order	order	NOUN
agb-192	177	3	to	to	PART
agb-192	177	4	carry	carry	VERB
agb-192	177	5	out	out	ADP
agb-192	177	6	these	these	DET
agb-192	177	7	operations	operation	NOUN
agb-192	177	8	,	,	PUNCT
agb-192	177	9	the	the	DET
agb-192	177	10	convolutions	convolution	NOUN
agb-192	177	11	are	be	AUX
agb-192	177	12	grouped	group	VERB
agb-192	177	13	to	to	PART
agb-192	177	14	increase	increase	VERB
agb-192	177	15	the	the	DET
agb-192	177	16	number	number	NOUN
agb-192	177	17	of	of	ADP
agb-192	177	18	channels	channel	NOUN
agb-192	177	19	and	and	CCONJ
agb-192	177	20	cardinality	cardinality	NOUN
agb-192	177	21	of	of	ADP
agb-192	177	22	the	the	DET
agb-192	177	23	blocks	block	NOUN
agb-192	177	24	.	.	PUNCT
agb-192	178	1	the	the	DET
agb-192	178	2	same	same	ADJ
agb-192	178	3	number	number	NOUN
agb-192	178	4	of	of	ADP
agb-192	178	5	group	group	NOUN
agb-192	178	6	parameters	parameter	NOUN
agb-192	178	7	and	and	CCONJ
agb-192	178	8	channel	channel	NOUN
agb-192	178	9	multiplier	multiplier	ADV
agb-192	178	10	is	be	AUX
agb-192	178	11	applied	apply	VERB
agb-192	178	12	universally	universally	ADV
agb-192	178	13	to	to	ADP
agb-192	178	14	all	all	DET
agb-192	178	15	computational	computational	ADJ
agb-192	178	16	units	unit	NOUN
agb-192	178	17	.	.	PUNCT
agb-192	179	1	the	the	DET
agb-192	179	2	feature	feature	NOUN
agb-192	179	3	maps	map	NOUN
agb-192	179	4	are	be	AUX
agb-192	179	5	shuffled	shuffle	VERB
agb-192	179	6	into	into	ADP
agb-192	179	7	'	'	PUNCT
agb-192	179	8	g	g	NOUN
agb-192	179	9	'	'	PUNCT
agb-192	179	10	groups	group	NOUN
agb-192	179	11	based	base	VERB
agb-192	179	12	on	on	ADP
agb-192	179	13	the	the	DET
agb-192	179	14	group	group	NOUN
agb-192	179	15	parameter	parameter	NOUN
agb-192	179	16	,	,	PUNCT
agb-192	179	17	then	then	ADV
agb-192	179	18	concatenated	concatenate	VERB
agb-192	179	19	to	to	PART
agb-192	179	20	preserve	preserve	VERB
agb-192	179	21	their	their	PRON
agb-192	179	22	uniqueness	uniqueness	NOUN
agb-192	179	23	.	.	PUNCT
agb-192	180	1	the	the	DET
agb-192	180	2	feature	feature	NOUN
agb-192	180	3	map	map	NOUN
agb-192	180	4	clusters	cluster	NOUN
agb-192	180	5	are	be	AUX
agb-192	180	6	then	then	ADV
agb-192	180	7	instructed	instruct	VERB
agb-192	180	8	to	to	PART
agb-192	180	9	learn	learn	VERB
agb-192	180	10	unique	unique	ADJ
agb-192	180	11	features	feature	NOUN
agb-192	180	12	using	use	VERB
agb-192	180	13	the	the	DET
agb-192	180	14	merge	merge	NOUN
agb-192	180	15	cardinality	cardinality	NOUN
agb-192	180	16	function	function	NOUN
agb-192	180	17	.	.	PUNCT
agb-192	181	1	this	this	DET
agb-192	181	2	model	model	NOUN
agb-192	181	3	adjusts	adjust	VERB
agb-192	181	4	the	the	DET
agb-192	181	5	image	image	NOUN
agb-192	181	6	's	's	PART
agb-192	181	7	resolution	resolution	NOUN
agb-192	181	8	,	,	PUNCT
agb-192	181	9	depth	depth	NOUN
agb-192	181	10	,	,	PUNCT
agb-192	181	11	stage	stage	NOUN
agb-192	181	12	,	,	PUNCT
agb-192	181	13	and	and	CCONJ
agb-192	181	14	breadth	breadth	NOUN
agb-192	181	15	by	by	ADP
agb-192	181	16	scaling	scale	VERB
agb-192	181	17	the	the	DET
agb-192	181	18	model	model	NOUN
agb-192	181	19	.	.	PUNCT
agb-192	182	1	in	in	ADP
agb-192	182	2	order	order	NOUN
agb-192	182	3	to	to	PART
agb-192	182	4	maintain	maintain	VERB
agb-192	182	5	depth	depth	NOUN
agb-192	182	6	and	and	CCONJ
agb-192	182	7	width	width	ADJ
agb-192	182	8	coherence	coherence	NOUN
agb-192	182	9	,	,	PUNCT
agb-192	182	10	yolov7	yolov7	PRON
agb-192	182	11	employs	employ	VERB
agb-192	182	12	network	network	NOUN
agb-192	182	13	architecture	architecture	NOUN
agb-192	182	14	search	search	NOUN
agb-192	182	15	(	(	PUNCT
agb-192	182	16	nas	nas	PROPN
agb-192	182	17	)	)	PUNCT
agb-192	182	18	that	that	PRON
agb-192	182	19	iterates	iterate	VERB
agb-192	182	20	through	through	ADP
agb-192	182	21	image	image	NOUN
agb-192	182	22	parameters	parameter	NOUN
agb-192	182	23	to	to	PART
agb-192	182	24	converge	converge	VERB
agb-192	182	25	on	on	ADP
agb-192	182	26	the	the	DET
agb-192	182	27	optimal	optimal	ADJ
agb-192	182	28	scaling	scaling	NOUN
agb-192	182	29	factors	factor	NOUN
agb-192	182	30	,	,	PUNCT
agb-192	182	31	as	as	SCONJ
agb-192	182	32	opposed	oppose	VERB
agb-192	182	33	to	to	ADP
agb-192	182	34	the	the	DET
agb-192	182	35	compound	compound	NOUN
agb-192	182	36	model	model	NOUN
agb-192	182	37	scaling	scale	VERB
agb-192	182	38	.	.	PUNCT
agb-192	183	1	the	the	DET
agb-192	183	2	process	process	NOUN
agb-192	183	3	of	of	ADP
agb-192	183	4	compound	compound	NOUN
agb-192	183	5	scaling	scaling	NOUN
agb-192	183	6	is	be	AUX
agb-192	183	7	depicted	depict	VERB
agb-192	183	8	in	in	ADP
agb-192	183	9	figure	figure	NOUN
agb-192	183	10	11	11	NUM
agb-192	183	11	.	.	PUNCT
agb-192	183	12	predicting	predict	VERB
agb-192	183	13	the	the	DET
agb-192	183	14	bounding	bounding	NOUN
agb-192	183	15	boxes	box	NOUN
agb-192	183	16	the	the	DET
agb-192	183	17	yolo	yolo	ADJ
agb-192	183	18	models	model	NOUN
agb-192	183	19	employed	employ	VERB
agb-192	183	20	in	in	ADP
agb-192	183	21	this	this	DET
agb-192	183	22	work	work	NOUN
agb-192	183	23	deploy	deploy	VERB
agb-192	183	24	the	the	DET
agb-192	183	25	complete	complete	ADJ
agb-192	183	26	intersection	intersection	NOUN
agb-192	183	27	over	over	ADP
agb-192	183	28	union	union	NOUN
agb-192	183	29	(	(	PUNCT
agb-192	183	30	ciou	ciou	NOUN
agb-192	183	31	)	)	PUNCT
agb-192	183	32	loss	loss	NOUN
agb-192	183	33	to	to	PART
agb-192	183	34	optimize	optimize	VERB
agb-192	183	35	the	the	DET
agb-192	183	36	bounding	bounding	NOUN
agb-192	183	37	box	box	NOUN
agb-192	183	38	prediction	prediction	NOUN
agb-192	183	39	.	.	PUNCT
agb-192	184	1	the	the	DET
agb-192	184	2	confidence	confidence	NOUN
agb-192	184	3	score	score	NOUN
agb-192	184	4	(	(	PUNCT
agb-192	184	5	cj	cj	PROPN
agb-192	184	6	i	i	NOUN
agb-192	184	7	)	)	PUNCT
agb-192	184	8	of	of	ADP
agb-192	184	9	the	the	DET
agb-192	184	10	jth	jth	PROPN
agb-192	184	11	bounding	bounding	NOUN
agb-192	184	12	box	box	NOUN
agb-192	184	13	in	in	ADP
agb-192	184	14	the	the	DET
agb-192	184	15	ith	ith	PROPN
agb-192	184	16	grid	grid	NOUN
agb-192	184	17	is	be	AUX
agb-192	184	18	given	give	VERB
agb-192	184	19	in	in	ADP
agb-192	184	20	equ	equ	PROPN
agb-192	184	21	1	1	NUM
agb-192	184	22	:	:	PUNCT
agb-192	184	23	ci	ci	PROPN
agb-192	184	24	j	j	PROPN
agb-192	184	25	=	=	PRON
agb-192	184	26	ai	ai	VERB
agb-192	184	27	,	,	PUNCT
agb-192	184	28	j*iou	j*iou	NOUN
agb-192	184	29	(	(	PUNCT
agb-192	184	30	1	1	NUM
agb-192	184	31	)	)	PUNCT
agb-192	184	32	the	the	DET
agb-192	184	33	leaf	leaf	NOUN
agb-192	184	34	is	be	AUX
agb-192	184	35	denoted	denote	VERB
agb-192	184	36	as	as	ADP
agb-192	184	37	ai	ai	NOUN
agb-192	184	38	,	,	PUNCT
agb-192	184	39	j	j	NOUN
agb-192	184	40	,	,	PUNCT
agb-192	184	41	while	while	SCONJ
agb-192	184	42	iou	iou	NOUN
agb-192	184	43	is	be	AUX
agb-192	184	44	the	the	DET
agb-192	184	45	union	union	NOUN
agb-192	184	46	between	between	ADP
agb-192	184	47	the	the	DET
agb-192	184	48	predicted	predict	VERB
agb-192	184	49	and	and	CCONJ
agb-192	184	50	actual	actual	ADJ
agb-192	184	51	bounding	bounding	NOUN
agb-192	184	52	boxes	box	NOUN
agb-192	184	53	.	.	PUNCT
agb-192	185	1	the	the	DET
agb-192	185	2	total	total	ADJ
agb-192	185	3	loss	loss	NOUN
agb-192	185	4	(	(	PUNCT
agb-192	185	5	ltotal	ltotal	ADJ
agb-192	185	6	)	)	PUNCT
agb-192	185	7	in	in	ADP
agb-192	185	8	these	these	DET
agb-192	185	9	models	model	NOUN
agb-192	185	10	is	be	AUX
agb-192	185	11	computed	compute	VERB
agb-192	185	12	as	as	ADP
agb-192	185	13	the	the	DET
agb-192	185	14	accumulation	accumulation	NOUN
agb-192	185	15	of	of	ADP
agb-192	185	16	three	three	NUM
agb-192	185	17	major	major	ADJ
agb-192	185	18	loss	loss	NOUN
agb-192	185	19	functions	function	NOUN
agb-192	185	20	:	:	PUNCT
agb-192	185	21	loss	loss	NOUN
agb-192	185	22	in	in	ADP
agb-192	185	23	classification	classification	NOUN
agb-192	185	24	(	(	PUNCT
agb-192	185	25	lcla	lcla	NOUN
agb-192	185	26	)	)	PUNCT
agb-192	185	27	,	,	PUNCT
agb-192	185	28	loss	loss	NOUN
agb-192	185	29	in	in	ADP
agb-192	185	30	regression	regression	NOUN
agb-192	185	31	loss	loss	NOUN
agb-192	185	32	(	(	PUNCT
agb-192	185	33	lreg	lreg	NOUN
agb-192	185	34	)	)	PUNCT
agb-192	185	35	,	,	PUNCT
agb-192	185	36	and	and	CCONJ
agb-192	185	37	loss	loss	NOUN
agb-192	185	38	in	in	ADP
agb-192	185	39	confidence	confidence	NOUN
agb-192	185	40	(	(	PUNCT
agb-192	185	41	lconf	lconf	NOUN
agb-192	185	42	)	)	PUNCT
agb-192	185	43	,	,	PUNCT
agb-192	185	44	and	and	CCONJ
agb-192	185	45	it	it	PRON
agb-192	185	46	is	be	AUX
agb-192	185	47	mentioned	mention	VERB
agb-192	185	48	in	in	ADP
agb-192	185	49	equ	equ	PROPN
agb-192	185	50	2	2	NUM
agb-192	185	51	.	.	PUNCT
agb-192	185	52	loss	loss	NOUN
agb-192	185	53	=	=	SYM
agb-192	185	54	lbox	lbox	NOUN
agb-192	185	55	+	+	CCONJ
agb-192	185	56	lobj	lobj	NOUN
agb-192	185	57	+	+	CCONJ
agb-192	185	58	lcls	lcls	NOUN
agb-192	185	59	(	(	PUNCT
agb-192	185	60	2	2	NUM
agb-192	185	61	)	)	PUNCT
agb-192	185	62	6	6	NUM
agb-192	185	63	.	.	PUNCT
agb-192	186	1	experimental	experimental	ADJ
agb-192	186	2	analysis	analysis	NOUN
agb-192	186	3	the	the	DET
agb-192	186	4	models	model	NOUN
agb-192	186	5	are	be	AUX
agb-192	186	6	validated	validate	VERB
agb-192	186	7	using	use	VERB
agb-192	186	8	the	the	DET
agb-192	186	9	plant	plant	NOUN
agb-192	186	10	village	village	NOUN
agb-192	186	11	dataset	dataset	NOUN
agb-192	186	12	,	,	PUNCT
agb-192	186	13	which	which	PRON
agb-192	186	14	comprises	comprise	VERB
agb-192	186	15	54,305	54,305	NUM
agb-192	186	16	high	high	ADJ
agb-192	186	17	-	-	PUNCT
agb-192	186	18	resolution	resolution	NOUN
agb-192	186	19	images	image	NOUN
agb-192	186	20	of	of	ADP
agb-192	186	21	14	14	NUM
agb-192	186	22	plant	plant	NOUN
agb-192	186	23	species	specie	NOUN
agb-192	186	24	afflicted	afflict	VERB
agb-192	186	25	with	with	ADP
agb-192	186	26	26	26	NUM
agb-192	186	27	diseases	disease	NOUN
agb-192	186	28	(	(	PUNCT
agb-192	186	29	hughes	hughes	PROPN
agb-192	186	30	&	&	CCONJ
agb-192	186	31	salathé	salathé	PROPN
agb-192	186	32	,	,	PUNCT
agb-192	186	33	2015	2015	NUM
agb-192	186	34	)	)	PUNCT
agb-192	186	35	.	.	PUNCT
agb-192	187	1	the	the	DET
agb-192	187	2	dataset	dataset	NOUN
agb-192	187	3	is	be	AUX
agb-192	187	4	comprised	comprise	VERB
agb-192	187	5	of	of	ADP
agb-192	187	6	both	both	DET
agb-192	187	7	training	training	NOUN
agb-192	187	8	and	and	CCONJ
agb-192	187	9	testing	testing	NOUN
agb-192	187	10	subsets	subset	NOUN
agb-192	187	11	.	.	PUNCT
agb-192	188	1	table	table	NOUN
agb-192	188	2	1	1	NUM
agb-192	188	3	summarizes	summarize	NOUN
agb-192	188	4	the	the	DET
agb-192	188	5	classes	class	NOUN
agb-192	188	6	,	,	PUNCT
agb-192	188	7	plants	plant	NOUN
agb-192	188	8	,	,	PUNCT
agb-192	188	9	and	and	CCONJ
agb-192	188	10	diseases	disease	NOUN
agb-192	188	11	with	with	ADP
agb-192	188	12	testing	testing	NOUN
agb-192	188	13	and	and	CCONJ
agb-192	188	14	training	training	NOUN
agb-192	188	15	data	datum	NOUN
agb-192	188	16	.	.	PUNCT
agb-192	189	1	table	table	NOUN
agb-192	189	2	1	1	NUM
agb-192	189	3	:	:	PUNCT
agb-192	189	4	summary	summary	NOUN
agb-192	189	5	statistics	statistic	NOUN
agb-192	189	6	of	of	ADP
agb-192	189	7	plant	plant	NOUN
agb-192	189	8	village	village	NOUN
agb-192	189	9	dataset	dataset	NOUN
agb-192	189	10	crop	crop	NOUN
agb-192	189	11	disease	disease	NOUN
agb-192	189	12	training	training	NOUN
agb-192	189	13	images	image	NOUN
agb-192	189	14	testing	testing	NOUN
agb-192	189	15	images	image	NOUN
agb-192	189	16	crop	crop	NOUN
agb-192	189	17	disease	disease	NOUN
agb-192	189	18	training	training	NOUN
agb-192	189	19	images	image	NOUN
agb-192	189	20	testing	testing	NOUN
agb-192	189	21	images	image	NOUN
agb-192	189	22	apple	apple	NOUN
agb-192	189	23	apple	apple	NOUN
agb-192	189	24	cab	cab	NOUN
agb-192	189	25	504	504	NUM
agb-192	189	26	126	126	NUM
agb-192	189	27	apple	apple	NOUN
agb-192	189	28	black	black	ADJ
agb-192	189	29	rot	rot	VERB
agb-192	189	30	496	496	NUM
agb-192	189	31	125	125	NUM
agb-192	189	32	apple	apple	NOUN
agb-192	189	33	cedar	cedar	NOUN
agb-192	189	34	apple	apple	NOUN
agb-192	189	35	rust	rust	NOUN
agb-192	189	36	220	220	NUM
agb-192	189	37	5	5	NUM
agb-192	189	38	apple	apple	NOUN
agb-192	189	39	healthy	healthy	ADJ
agb-192	189	40	1316	1316	NUM
agb-192	189	41	329	329	NUM
agb-192	189	42	blueberry	blueberry	NOUN
agb-192	189	43	healthy	healthy	ADJ
agb-192	189	44	1202	1202	NUM
agb-192	189	45	300	300	NUM
agb-192	189	46	cherry	cherry	NOUN
agb-192	189	47	healthy	healthy	ADJ
agb-192	189	48	684	684	NUM
agb-192	189	49	170	170	NUM
agb-192	189	50	cherry	cherry	NOUN
agb-192	189	51	powdery	powdery	NOUN
agb-192	189	52	mildew	mildew	NOUN
agb-192	189	53	842	842	NUM
agb-192	189	54	210	210	NUM
agb-192	189	55	corn	corn	NOUN
agb-192	189	56	cercospora	cercospora	PROPN
agb-192	189	57	leaf	leaf	NOUN
agb-192	189	58	spot	spot	NOUN
agb-192	189	59	410	410	NUM
agb-192	189	60	103	103	NUM
agb-192	189	61	corn	corn	NOUN
agb-192	189	62	common	common	ADJ
agb-192	189	63	rust	rust	NOUN
agb-192	189	64	953	953	NUM
agb-192	189	65	239	239	NUM
agb-192	189	66	corn	corn	NOUN
agb-192	189	67	healthy	healthy	ADJ
agb-192	189	68	929	929	NUM
agb-192	189	69	233	233	NUM
agb-192	189	70	corn	corn	NOUN
agb-192	189	71	northern	northern	ADJ
agb-192	189	72	leaf	leaf	NOUN
agb-192	189	73	blight	blight	NOUN
agb-192	189	74	788	788	NUM
agb-192	189	75	197	197	NUM
agb-192	189	76	grape	grape	NOUN
agb-192	189	77	black	black	ADJ
agb-192	189	78	rot	rot	VERB
agb-192	189	79	944	944	NUM
agb-192	189	80	236	236	NUM
agb-192	189	81	grape	grape	NOUN
agb-192	189	82	esca	esca	NOUN
agb-192	189	83	1107	1107	NUM
agb-192	189	84	276	276	NUM
agb-192	189	85	grape	grape	NOUN
agb-192	189	86	healthy	healthy	ADJ
agb-192	189	87	339	339	NUM
agb-192	189	88	84	84	NUM
agb-192	189	89	grape	grape	NOUN
agb-192	189	90	leaf	leaf	NOUN
agb-192	189	91	blight	blight	NOUN
agb-192	189	92	861	861	NUM
agb-192	189	93	215	215	NUM
agb-192	189	94	orange	orange	NOUN
agb-192	189	95	haunglongbing	haunglongbe	VERB
agb-192	189	96	4405	4405	NUM
agb-192	189	97	1102	1102	NUM
agb-192	189	98	peach	peach	PROPN
agb-192	189	99	bacterial	bacterial	ADJ
agb-192	189	100	spot	spot	NOUN
agb-192	189	101	1838	1838	NUM
agb-192	189	102	459	459	NUM
agb-192	189	103	peach	peach	NOUN
agb-192	189	104	healthy	healthy	ADJ
agb-192	189	105	288	288	NUM
agb-192	189	106	72	72	NUM
agb-192	189	107	pepper	pepper	NOUN
agb-192	189	108	bell	bell	NOUN
agb-192	189	109	bacterial	bacterial	ADJ
agb-192	189	110	spot	spot	NOUN
agb-192	189	111	797	797	NUM
agb-192	189	112	200	200	NUM
agb-192	189	113	pepper	pepper	NOUN
agb-192	189	114	bell	bell	NOUN
agb-192	189	115	healthy	healthy	ADJ
agb-192	189	116	1183	1183	NUM
agb-192	189	117	295	295	NUM
agb-192	189	118	potato	potato	NOUN
agb-192	189	119	early	early	ADV
agb-192	189	120	blight	blight	NOUN
agb-192	189	121	800	800	NUM
agb-192	189	122	200	200	NUM
agb-192	189	123	potato	potato	NOUN
agb-192	189	124	healthy	healthy	ADJ
agb-192	189	125	121	121	NUM
agb-192	189	126	31	31	NUM
agb-192	189	127	potato	potato	NOUN
agb-192	189	128	late	late	ADV
agb-192	189	129	blights	blight	VERB
agb-192	189	130	800	800	NUM
agb-192	189	131	200	200	NUM
agb-192	189	132	raspberry	raspberry	NOUN
agb-192	189	133	healthy	healthy	ADJ
agb-192	189	134	297	297	NUM
agb-192	189	135	74	74	NUM
agb-192	189	136	soybean	soybean	NOUN
agb-192	189	137	healthy	healthy	ADJ
agb-192	189	138	4072	4072	NUM
agb-192	189	139	1018	1018	NUM
agb-192	189	140	squash	squash	VERB
agb-192	189	141	powdery	powdery	ADJ
agb-192	189	142	mildew	mildew	NOUN
agb-192	189	143	1468	1468	NUM
agb-192	189	144	367	367	NUM
agb-192	189	145	strawberry	strawberry	VERB
agb-192	189	146	healthy	healthy	ADJ
agb-192	189	147	364	364	NUM
agb-192	189	148	92	92	NUM
agb-192	189	149	strawberry	strawberry	NOUN
agb-192	189	150	leaf	leaf	NOUN
agb-192	189	151	scorch	scorch	VERB
agb-192	189	152	887	887	NUM
agb-192	189	153	222	222	NUM
agb-192	189	154	tomato	tomato	NOUN
agb-192	189	155	bacterial	bacterial	ADJ
agb-192	189	156	spot	spot	NOUN
agb-192	189	157	1702	1702	NUM
agb-192	189	158	425	425	NUM
agb-192	189	159	tomato	tomato	NOUN
agb-192	189	160	early	early	ADJ
agb-192	189	161	blight	blight	NOUN
agb-192	189	162	800	800	NUM
agb-192	189	163	200	200	NUM
agb-192	189	164	tomato	tomato	NOUN
agb-192	189	165	healthy	healthy	ADJ
agb-192	189	166	1273	1273	NUM
agb-192	189	167	318	318	NUM
agb-192	189	168	tomato	tomato	NOUN
agb-192	189	169	late	late	ADJ
agb-192	189	170	blight	blight	NOUN
agb-192	189	171	1527	1527	NUM
agb-192	189	172	382	382	NUM
agb-192	189	173	tomato	tomato	NOUN
agb-192	189	174	leaf	leaf	NOUN
agb-192	189	175	mold	mold	NOUN
agb-192	189	176	761	761	NUM
agb-192	189	177	191	191	NUM
agb-192	189	178	tomato	tomato	NOUN
agb-192	189	179	septoria	septoria	NOUN
agb-192	189	180	leaf	leaf	NOUN
agb-192	189	181	spot	spot	NOUN
agb-192	189	182	1417	1417	NUM
agb-192	189	183	354	354	NUM
agb-192	189	184	tomato	tomato	NOUN
agb-192	189	185	spider	spider	NOUN
agb-192	189	186	mites	mite	VERB
agb-192	189	187	1341	1341	NUM
agb-192	189	188	335	335	NUM
agb-192	189	189	tomato	tomato	NOUN
agb-192	189	190	target	target	NOUN
agb-192	189	191	spot	spot	NOUN
agb-192	189	192	1123	1123	NUM
agb-192	189	193	281	281	NUM
agb-192	189	194	tomato	tomato	NOUN
agb-192	189	195	mosaic	mosaic	ADJ
agb-192	189	196	virus	virus	NOUN
agb-192	189	197	299	299	NUM
agb-192	189	198	74	74	NUM
agb-192	189	199	tomato	tomato	NOUN
agb-192	189	200	yellow	yellow	ADJ
agb-192	189	201	curls	curl	NOUN
agb-192	189	202	4286	4286	NUM
agb-192	189	203	1071	1071	NUM
agb-192	189	204	the	the	DET
agb-192	189	205	input	input	NOUN
agb-192	189	206	image	image	NOUN
agb-192	189	207	dimensions	dimension	NOUN
agb-192	189	208	are	be	AUX
agb-192	189	209	224	224	NUM
agb-192	189	210	by	by	ADP
agb-192	189	211	224	224	NUM
agb-192	189	212	,	,	PUNCT
agb-192	189	213	and	and	CCONJ
agb-192	189	214	the	the	DET
agb-192	189	215	learning	learning	NOUN
agb-192	189	216	rate	rate	NOUN
agb-192	189	217	for	for	ADP
agb-192	189	218	both	both	DET
agb-192	189	219	models	model	NOUN
agb-192	189	220	is	be	AUX
agb-192	189	221	0.001	0.001	NUM
agb-192	189	222	.	.	PUNCT
agb-192	190	1	the	the	DET
agb-192	190	2	epochs	epoch	NOUN
agb-192	190	3	were	be	AUX
agb-192	190	4	limited	limit	VERB
agb-192	190	5	to	to	ADP
agb-192	190	6	3000	3000	NUM
agb-192	190	7	,	,	PUNCT
agb-192	190	8	with	with	ADP
agb-192	190	9	a	a	DET
agb-192	190	10	weight	weight	NOUN
agb-192	190	11	decay	decay	NOUN
agb-192	190	12	rate	rate	NOUN
agb-192	190	13	of	of	ADP
agb-192	190	14	0.00005	0.00005	NUM
agb-192	190	15	and	and	CCONJ
agb-192	190	16	a	a	DET
agb-192	190	17	momentum	momentum	NOUN
agb-192	190	18	decay	decay	NOUN
agb-192	190	19	rate	rate	NOUN
agb-192	190	20	of	of	ADP
agb-192	190	21	0.90	0.90	NUM
agb-192	190	22	.	.	PUNCT
agb-192	191	1	table	table	NOUN
agb-192	191	2	2	2	NUM
agb-192	191	3	compares	compare	VERB
agb-192	191	4	yolov4	yolov4	NOUN
agb-192	191	5	and	and	CCONJ
agb-192	191	6	yolov7	yolov7	NOUN
agb-192	191	7	on	on	ADP
agb-192	191	8	the	the	DET
agb-192	191	9	coco	coco	PROPN
agb-192	191	10	benchmark	benchmark	PROPN
agb-192	191	11	dataset	dataset	PROPN
agb-192	191	12	.	.	PUNCT
agb-192	192	1	table	table	NOUN
agb-192	192	2	2	2	NUM
agb-192	192	3	:	:	PUNCT
agb-192	192	4	comparison	comparison	NOUN
agb-192	192	5	of	of	ADP
agb-192	192	6	yolo	yolo	ADJ
agb-192	192	7	v4	v4	NOUN
agb-192	192	8	and	and	CCONJ
agb-192	192	9	yolo	yolo	ADJ
agb-192	192	10	v7	v7	VERB
agb-192	192	11	model	model	NOUN
agb-192	192	12	no	no	PROPN
agb-192	192	13	of	of	ADP
agb-192	192	14	parameters	parameter	NOUN
agb-192	192	15	flops	flop	NOUN
agb-192	192	16	size	size	VERB
agb-192	192	17	average	average	ADJ
agb-192	192	18	precision	precision	NOUN
agb-192	192	19	average	average	ADJ
agb-192	192	20	precision	precision	NOUN
agb-192	192	21	on	on	ADP
agb-192	192	22	50	50	NUM
agb-192	192	23	%	%	NOUN
agb-192	192	24	iou	iou	NOUN
agb-192	192	25	average	average	ADJ
agb-192	192	26	precision	precision	NOUN
agb-192	192	27	on	on	ADP
agb-192	192	28	75	75	NUM
agb-192	192	29	%	%	NOUN
agb-192	192	30	iou	iou	PROPN
agb-192	192	31	yolo	yolo	PROPN
agb-192	192	32	v4	v4	PROPN
agb-192	192	33	64.4	64.4	NUM
agb-192	192	34	m	m	PROPN
agb-192	192	35	142.8	142.8	NUM
agb-192	192	36	g	g	PROPN
agb-192	192	37	640	640	NUM
agb-192	192	38	49.7	49.7	NUM
agb-192	192	39	68.2	68.2	NUM
agb-192	192	40	54.3	54.3	NUM
agb-192	192	41	yolo	yolo	NOUN
agb-192	192	42	v7	v7	VERB
agb-192	192	43	36.9	36.9	NUM
agb-192	192	44	m	m	NOUN
agb-192	192	45	104.7	104.7	NUM
agb-192	192	46	g	g	NOUN
agb-192	192	47	640	640	NUM
agb-192	192	48	51.2	51.2	NUM
agb-192	192	49	69.7	69.7	NUM
agb-192	192	50	55.5	55.5	NUM
agb-192	192	51	fig	fig	NOUN
agb-192	192	52	12	12	NUM
agb-192	192	53	and	and	CCONJ
agb-192	192	54	13	13	NUM
agb-192	192	55	shows	show	VERB
agb-192	192	56	a	a	DET
agb-192	192	57	few	few	ADJ
agb-192	192	58	sample	sample	NOUN
agb-192	192	59	plant	plant	NOUN
agb-192	192	60	leaf	leaf	NOUN
agb-192	192	61	disease	disease	NOUN
agb-192	192	62	classification	classification	NOUN
agb-192	192	63	using	use	VERB
agb-192	192	64	yolo	yolo	ADJ
agb-192	192	65	v4	v4	NOUN
agb-192	192	66	and	and	CCONJ
agb-192	192	67	yolo	yolo	ADJ
agb-192	192	68	v7	v7	NOUN
agb-192	192	69	models	model	NOUN
agb-192	192	70	.	.	PUNCT
agb-192	193	1	the	the	DET
agb-192	193	2	annotations	annotation	NOUN
agb-192	193	3	and	and	CCONJ
agb-192	193	4	the	the	DET
agb-192	193	5	confidence	confidence	NOUN
agb-192	193	6	score	score	NOUN
agb-192	193	7	of	of	ADP
agb-192	193	8	both	both	DET
agb-192	193	9	models	model	NOUN
agb-192	193	10	are	be	AUX
agb-192	193	11	equivalent	equivalent	ADJ
agb-192	193	12	and	and	CCONJ
agb-192	193	13	are	be	AUX
agb-192	193	14	competitive	competitive	ADJ
agb-192	193	15	with	with	ADP
agb-192	193	16	each	each	DET
agb-192	193	17	other	other	ADJ
agb-192	193	18	.	.	PUNCT
agb-192	194	1	the	the	DET
agb-192	194	2	real	real	ADJ
agb-192	194	3	comparison	comparison	NOUN
agb-192	194	4	can	can	AUX
agb-192	194	5	be	be	AUX
agb-192	194	6	made	make	VERB
agb-192	194	7	by	by	ADP
agb-192	194	8	assessing	assess	VERB
agb-192	194	9	other	other	ADJ
agb-192	194	10	classification	classification	NOUN
agb-192	194	11	metrics	metric	NOUN
agb-192	194	12	.	.	PUNCT
agb-192	195	1	fig	fig	NOUN
agb-192	195	2	12	12	NUM
agb-192	195	3	:	:	PUNCT
agb-192	195	4	plant	plant	NOUN
agb-192	195	5	leaf	leaf	NOUN
agb-192	195	6	disease	disease	NOUN
agb-192	195	7	classification	classification	NOUN
agb-192	195	8	using	use	VERB
agb-192	195	9	yolov4	yolov4	PROPN
agb-192	195	10	agbioforum	agbioforum	PROPN
agb-192	195	11	,	,	PUNCT
agb-192	195	12	25(1	25(1	NUM
agb-192	195	13	)	)	PUNCT
agb-192	195	14	,	,	PUNCT
agb-192	195	15	2023	2023	NUM
agb-192	196	1	|	|	ADV
agb-192	196	2	65	65	NUM
agb-192	196	3	xinming	xinme	VERB
agb-192	196	4	,	,	PUNCT
agb-192	196	5	hong	hong	PROPN
agb-192	196	6	,	,	PUNCT
agb-192	196	7	mohd	mohd	PROPN
agb-192	196	8	ariffin	ariffin	NOUN
agb-192	196	9	,	,	PUNCT
agb-192	196	10	ismail	ismail	PROPN
agb-192	196	11	.	.	PUNCT
agb-192	197	1	—	—	PUNCT
agb-192	197	2	comparative	comparative	ADJ
agb-192	197	3	study	study	NOUN
agb-192	197	4	on	on	ADP
agb-192	197	5	leaf	leaf	NOUN
agb-192	197	6	disease	disease	NOUN
agb-192	197	7	identification	identification	NOUN
agb-192	197	8	using	use	VERB
agb-192	197	9	yolo	yolo	ADJ
agb-192	197	10	v4	v4	NOUN
agb-192	197	11	and	and	CCONJ
agb-192	197	12	yolo	yolo	ADJ
agb-192	197	13	v7	v7	VERB
agb-192	197	14	algorithm	algorithm	NOUN
agb-192	197	15	fig	fig	NOUN
agb-192	197	16	13	13	NUM
agb-192	197	17	:	:	PUNCT
agb-192	197	18	plant	plant	NOUN
agb-192	197	19	leaf	leaf	NOUN
agb-192	197	20	disease	disease	NOUN
agb-192	197	21	classification	classification	NOUN
agb-192	197	22	using	use	VERB
agb-192	197	23	yolov7	yolov7	NOUN
agb-192	197	24	the	the	DET
agb-192	197	25	confidence	confidence	NOUN
agb-192	197	26	score	score	NOUN
agb-192	197	27	is	be	AUX
agb-192	197	28	the	the	DET
agb-192	197	29	likelihood	likelihood	NOUN
agb-192	197	30	(	(	PUNCT
agb-192	197	31	pr	pr	NOUN
agb-192	197	32	)	)	PUNCT
agb-192	197	33	that	that	SCONJ
agb-192	197	34	the	the	DET
agb-192	197	35	bounding	bounding	NOUN
agb-192	197	36	box	box	NOUN
agb-192	197	37	has	have	AUX
agb-192	197	38	a	a	DET
agb-192	197	39	leaf	leaf	NOUN
agb-192	197	40	and	and	CCONJ
agb-192	197	41	is	be	AUX
agb-192	197	42	computed	compute	VERB
agb-192	197	43	using	use	VERB
agb-192	197	44	equ	equ	PROPN
agb-192	197	45	3	3	NUM
agb-192	197	46	.	.	PUNCT
agb-192	197	47	box	box	NOUN
agb-192	197	48	confidence	confidence	NOUN
agb-192	197	49	=	=	NOUN
agb-192	197	50	pr	pr	X
agb-192	197	51	(	(	PUNCT
agb-192	197	52	object	object	NOUN
agb-192	197	53	)	)	PUNCT
agb-192	197	54	*	*	PUNCT
agb-192	198	1	iou	iou	NOUN
agb-192	198	2	(	(	PUNCT
agb-192	198	3	truth	truth	NOUN
agb-192	198	4	predict	predict	VERB
agb-192	198	5	)	)	PUNCT
agb-192	198	6	(	(	PUNCT
agb-192	198	7	3	3	X
agb-192	198	8	)	)	PUNCT
agb-192	198	9	iou	iou	NOUN
agb-192	198	10	is	be	AUX
agb-192	198	11	estimated	estimate	VERB
agb-192	198	12	as	as	ADP
agb-192	198	13	the	the	DET
agb-192	198	14	proportion	proportion	NOUN
agb-192	198	15	of	of	ADP
agb-192	198	16	intersection	intersection	NOUN
agb-192	198	17	and	and	CCONJ
agb-192	198	18	union	union	NOUN
agb-192	198	19	of	of	ADP
agb-192	198	20	predicted	predict	VERB
agb-192	198	21	and	and	CCONJ
agb-192	198	22	ground	ground	NOUN
agb-192	198	23	truth	truth	NOUN
agb-192	198	24	bounding	bounding	NOUN
agb-192	198	25	boxes	box	NOUN
agb-192	198	26	.	.	PUNCT
agb-192	199	1	the	the	DET
agb-192	199	2	calculation	calculation	NOUN
agb-192	199	3	iou	iou	NOUN
agb-192	199	4	is	be	AUX
agb-192	199	5	done	do	VERB
agb-192	199	6	according	accord	VERB
agb-192	199	7	to	to	ADP
agb-192	199	8	equation	equation	NOUN
agb-192	199	9	(	(	PUNCT
agb-192	199	10	4	4	NUM
agb-192	199	11	)	)	PUNCT
agb-192	199	12	.	.	PUNCT
agb-192	200	1	(	(	PUNCT
agb-192	200	2	4	4	X
agb-192	200	3	)	)	PUNCT
agb-192	200	4	each	each	DET
agb-192	200	5	grid	grid	NOUN
agb-192	200	6	cell	cell	NOUN
agb-192	200	7	in	in	ADP
agb-192	200	8	the	the	DET
agb-192	200	9	leaf	leaf	NOUN
agb-192	200	10	image	image	NOUN
agb-192	200	11	is	be	AUX
agb-192	200	12	assigned	assign	VERB
agb-192	200	13	the	the	DET
agb-192	200	14	value	value	NOUN
agb-192	200	15	1	1	NUM
agb-192	200	16	as	as	ADP
agb-192	200	17	conditional	conditional	ADJ
agb-192	200	18	class	class	NOUN
agb-192	200	19	probability	probability	NOUN
agb-192	200	20	,	,	PUNCT
agb-192	200	21	pr(class|	pr(class|	VERB
agb-192	200	22	object	object	NOUN
agb-192	200	23	)	)	PUNCT
agb-192	200	24	,	,	PUNCT
agb-192	200	25	which	which	PRON
agb-192	200	26	indicates	indicate	VERB
agb-192	200	27	the	the	DET
agb-192	200	28	likelihood	likelihood	NOUN
agb-192	200	29	of	of	ADP
agb-192	200	30	the	the	DET
agb-192	200	31	leaf	leaf	NOUN
agb-192	200	32	class	class	NOUN
agb-192	200	33	.	.	PUNCT
agb-192	201	1	the	the	DET
agb-192	201	2	confidence	confidence	NOUN
agb-192	201	3	score	score	NOUN
agb-192	201	4	is	be	AUX
agb-192	201	5	computed	compute	VERB
agb-192	201	6	as	as	ADP
agb-192	201	7	equ	equ	PROPN
agb-192	201	8	5	5	NUM
agb-192	201	9	.	.	PUNCT
agb-192	201	10	class	class	PROPN
agb-192	201	11	confidence=	confidence=	PROPN
agb-192	201	12	box	box	NOUN
agb-192	201	13	confidence	confidence	NOUN
agb-192	201	14	*	*	PUNCT
agb-192	201	15	pr	pr	X
agb-192	201	16	(	(	PUNCT
agb-192	201	17	class	class	NOUN
agb-192	201	18	|	|	ADV
agb-192	201	19	object	object	NOUN
agb-192	201	20	)	)	PUNCT
agb-192	201	21	(	(	PUNCT
agb-192	201	22	5	5	X
agb-192	201	23	)	)	PUNCT
agb-192	201	24	accuracy	accuracy	NOUN
agb-192	201	25	verified	verify	VERB
agb-192	201	26	the	the	DET
agb-192	201	27	efficacy	efficacy	NOUN
agb-192	201	28	of	of	ADP
agb-192	201	29	the	the	DET
agb-192	201	30	models	model	NOUN
agb-192	201	31	,	,	PUNCT
agb-192	201	32	mean	mean	ADJ
agb-192	201	33	average	average	ADJ
agb-192	201	34	precision	precision	NOUN
agb-192	201	35	(	(	PUNCT
agb-192	201	36	map	map	NOUN
agb-192	201	37	)	)	PUNCT
agb-192	201	38	,	,	PUNCT
agb-192	201	39	precision	precision	NOUN
agb-192	201	40	,	,	PUNCT
agb-192	201	41	and	and	CCONJ
agb-192	201	42	recall	recall	VERB
agb-192	201	43	as	as	SCONJ
agb-192	201	44	given	give	VERB
agb-192	201	45	in	in	ADP
agb-192	201	46	equations	equation	NOUN
agb-192	201	47	(	(	PUNCT
agb-192	201	48	6	6	NUM
agb-192	201	49	)	)	PUNCT
agb-192	201	50	to	to	ADP
agb-192	201	51	(	(	PUNCT
agb-192	201	52	9	9	NUM
agb-192	201	53	)	)	PUNCT
agb-192	201	54	.	.	PUNCT
agb-192	202	1	precision=	precision=	NUM
agb-192	202	2	true_positives	true_positive	NOUN
agb-192	202	3	true_positives+false_positives	true_positives+false_positive	NOUN
agb-192	202	4	(	(	PUNCT
agb-192	202	5	6	6	NUM
agb-192	202	6	)	)	PUNCT
agb-192	202	7	recall=	recall=	NUM
agb-192	202	8	true_positives	true_positive	NOUN
agb-192	202	9	true_positives+false_negatives	true_positives+false_negative	NOUN
agb-192	202	10	(	(	PUNCT
agb-192	202	11	7	7	NUM
agb-192	202	12	)	)	PUNCT
agb-192	202	13	f1	f1	NOUN
agb-192	202	14	score=	score=	NUM
agb-192	202	15	2	2	NUM
agb-192	202	16	*	*	NOUN
agb-192	202	17	precision	precision	NOUN
agb-192	202	18	*	*	PUNCT
agb-192	202	19	recall	recall	NOUN
agb-192	202	20	precision+recall	precision+recall	PROPN
agb-192	202	21	(	(	PUNCT
agb-192	202	22	8)	8)	NUM
agb-192	202	23	map=	map=	PROPN
agb-192	202	24	1	1	NUM
agb-192	202	25	𝐶	𝐶	PROPN
agb-192	202	26	∑	∑	PUNCT
agb-192	202	27	𝑇𝑟𝑢𝑒_𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑇𝑟𝑢𝑒_𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
agb-192	202	28	𝐹𝑎𝑙𝑠𝑒_𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝐹𝑎𝑙𝑠𝑒_𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
agb-192	202	29	+	+	CCONJ
agb-192	202	30	𝑇𝑟𝑢𝑒_𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑇𝑟𝑢𝑒_𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
agb-192	202	31	𝑐	𝑐	PROPN
agb-192	202	32	𝜖	𝜖	PROPN
agb-192	202	33	𝑐𝑙𝑎𝑠𝑠𝑒𝑠	𝑐𝑙𝑎𝑠𝑠𝑒𝑠	PROPN
agb-192	202	34	(	(	PUNCT
agb-192	202	35	9	9	NUM
agb-192	202	36	)	)	PUNCT
agb-192	202	37	the	the	DET
agb-192	202	38	performance	performance	NOUN
agb-192	202	39	comparison	comparison	NOUN
agb-192	202	40	between	between	ADP
agb-192	202	41	yolo	yolo	ADJ
agb-192	202	42	v4	v4	NOUN
agb-192	202	43	and	and	CCONJ
agb-192	202	44	yolov7	yolov7	NOUN
agb-192	202	45	is	be	AUX
agb-192	202	46	given	give	VERB
agb-192	202	47	in	in	ADP
agb-192	202	48	table	table	NOUN
agb-192	202	49	3	3	NUM
agb-192	202	50	.	.	PUNCT
agb-192	203	1	it	it	PRON
agb-192	203	2	can	can	AUX
agb-192	203	3	be	be	AUX
agb-192	203	4	seen	see	VERB
agb-192	203	5	that	that	SCONJ
agb-192	203	6	the	the	DET
agb-192	203	7	yolov7	yolov7	NOUN
agb-192	203	8	has	have	VERB
agb-192	203	9	better	well	ADJ
agb-192	203	10	values	value	NOUN
agb-192	203	11	of	of	ADP
agb-192	203	12	precision	precision	NOUN
agb-192	203	13	,	,	PUNCT
agb-192	203	14	f1	f1	NOUN
agb-192	203	15	-	-	PUNCT
agb-192	203	16	score	score	NOUN
agb-192	203	17	,	,	PUNCT
agb-192	203	18	recall	recall	NOUN
agb-192	203	19	,	,	PUNCT
agb-192	203	20	and	and	CCONJ
agb-192	203	21	map	map	VERB
agb-192	203	22	than	than	ADP
agb-192	203	23	yolo	yolo	ADJ
agb-192	203	24	v4	v4	NOUN
agb-192	203	25	.	.	PUNCT
agb-192	204	1	the	the	DET
agb-192	204	2	yolov7	yolov7	PROPN
agb-192	204	3	model	model	NOUN
agb-192	204	4	performs	perform	VERB
agb-192	204	5	better	well	ADV
agb-192	204	6	as	as	SCONJ
agb-192	204	7	it	it	PRON
agb-192	204	8	can	can	AUX
agb-192	204	9	dynamically	dynamically	ADV
agb-192	204	10	allocate	allocate	VERB
agb-192	204	11	the	the	DET
agb-192	204	12	classes	class	NOUN
agb-192	204	13	,	,	PUNCT
agb-192	204	14	quintessential	quintessential	ADJ
agb-192	204	15	in	in	ADP
agb-192	204	16	datasets	dataset	NOUN
agb-192	204	17	with	with	ADP
agb-192	204	18	more	more	ADJ
agb-192	204	19	classes	class	NOUN
agb-192	204	20	,	,	PUNCT
agb-192	204	21	such	such	ADJ
agb-192	204	22	as	as	ADP
agb-192	204	23	plant	plant	NOUN
agb-192	204	24	;	;	PUNCT
agb-192	204	25	leaf	leaf	NOUN
agb-192	204	26	disease	disease	NOUN
agb-192	204	27	classification	classification	NOUN
agb-192	204	28	.	.	PUNCT
agb-192	205	1	the	the	DET
agb-192	205	2	yolov4	yolov4	PROPN
agb-192	205	3	could	could	AUX
agb-192	205	4	not	not	PART
agb-192	205	5	perform	perform	VERB
agb-192	205	6	well	well	ADV
agb-192	205	7	because	because	SCONJ
agb-192	205	8	it	it	PRON
agb-192	205	9	could	could	AUX
agb-192	205	10	not	not	PART
agb-192	205	11	train	train	VERB
agb-192	205	12	well	well	ADV
agb-192	205	13	on	on	ADP
agb-192	205	14	dynamic	dynamic	ADJ
agb-192	205	15	classes	class	NOUN
agb-192	205	16	,	,	PUNCT
agb-192	205	17	a	a	DET
agb-192	205	18	distinguishing	distinguish	VERB
agb-192	205	19	feature	feature	NOUN
agb-192	205	20	of	of	ADP
agb-192	205	21	yolov7	yolov7	NOUN
agb-192	205	22	.	.	PUNCT
agb-192	206	1	table	table	NOUN
agb-192	206	2	3	3	NUM
agb-192	206	3	:	:	PUNCT
agb-192	206	4	performance	performance	NOUN
agb-192	206	5	comparison	comparison	NOUN
agb-192	206	6	of	of	ADP
agb-192	206	7	different	different	ADJ
agb-192	206	8	models	model	NOUN
agb-192	206	9	model	model	NOUN
agb-192	206	10	precision	precision	PROPN
agb-192	206	11	recall	recall	NOUN
agb-192	206	12	f1	f1	NOUN
agb-192	206	13	-	-	PUNCT
agb-192	206	14	score	score	NOUN
agb-192	206	15	map	map	NOUN
agb-192	206	16	yolo	yolo	PROPN
agb-192	206	17	v4	v4	PROPN
agb-192	206	18	0.74	0.74	NUM
agb-192	206	19	0.621	0.621	NUM
agb-192	206	20	0.703	0.703	NUM
agb-192	206	21	0.786	0.786	NUM
agb-192	206	22	yolo	yolo	ADJ
agb-192	206	23	v7	v7	NOUN
agb-192	206	24	0.82	0.82	NUM
agb-192	206	25	0.78	0.78	NUM
agb-192	206	26	0.80	0.80	NUM
agb-192	206	27	0.822	0.822	NUM
agb-192	206	28	thus	thus	ADV
agb-192	206	29	this	this	DET
agb-192	206	30	study	study	NOUN
agb-192	206	31	indicates	indicate	VERB
agb-192	206	32	that	that	SCONJ
agb-192	206	33	recent	recent	ADJ
agb-192	206	34	versions	version	NOUN
agb-192	206	35	of	of	ADP
agb-192	206	36	yolo	yolo	NOUN
agb-192	206	37	are	be	AUX
agb-192	206	38	showing	show	VERB
agb-192	206	39	more	more	ADJ
agb-192	206	40	advancements	advancement	NOUN
agb-192	206	41	,	,	PUNCT
agb-192	206	42	from	from	ADP
agb-192	206	43	forming	form	VERB
agb-192	206	44	feature	feature	NOUN
agb-192	206	45	maps	map	NOUN
agb-192	206	46	to	to	ADP
agb-192	206	47	adding	add	VERB
agb-192	206	48	more	more	ADV
agb-192	206	49	powerful	powerful	ADJ
agb-192	206	50	layers	layer	NOUN
agb-192	206	51	.	.	PUNCT
agb-192	207	1	7	7	X
agb-192	207	2	.	.	NUM
agb-192	207	3	conclusions	conclusion	NOUN
agb-192	207	4	and	and	CCONJ
agb-192	207	5	future	future	ADJ
agb-192	207	6	works	work	NOUN
agb-192	207	7	this	this	DET
agb-192	207	8	study	study	NOUN
agb-192	207	9	compares	compare	VERB
agb-192	207	10	the	the	DET
agb-192	207	11	performance	performance	NOUN
agb-192	207	12	of	of	ADP
agb-192	207	13	two	two	NUM
agb-192	207	14	prominent	prominent	ADJ
agb-192	207	15	object	object	NOUN
agb-192	207	16	detection	detection	NOUN
agb-192	207	17	and	and	CCONJ
agb-192	207	18	classification	classification	NOUN
agb-192	207	19	models	model	NOUN
agb-192	207	20	,	,	PUNCT
agb-192	207	21	yolo	yolo	PROPN
agb-192	207	22	v4	v4	PROPN
agb-192	207	23	and	and	CCONJ
agb-192	207	24	yolo	yolo	ADJ
agb-192	207	25	v7	v7	NUM
agb-192	207	26	,	,	PUNCT
agb-192	207	27	in	in	ADP
agb-192	207	28	detecting	detect	VERB
agb-192	207	29	diverse	diverse	ADJ
agb-192	207	30	leaf	leaf	NOUN
agb-192	207	31	diseases	disease	NOUN
agb-192	207	32	.	.	PUNCT
agb-192	208	1	the	the	DET
agb-192	208	2	performance	performance	NOUN
agb-192	208	3	comparison	comparison	NOUN
agb-192	208	4	reveals	reveal	VERB
agb-192	208	5	that	that	SCONJ
agb-192	208	6	both	both	DET
agb-192	208	7	architectures	architecture	NOUN
agb-192	208	8	have	have	VERB
agb-192	208	9	a	a	DET
agb-192	208	10	competitive	competitive	ADJ
agb-192	208	11	edge	edge	NOUN
agb-192	208	12	,	,	PUNCT
agb-192	208	13	but	but	CCONJ
agb-192	208	14	yolov7	yolov7	NOUN
agb-192	208	15	's	's	PART
agb-192	208	16	compound	compound	NOUN
agb-192	208	17	scaling	scaling	NOUN
agb-192	208	18	and	and	CCONJ
agb-192	208	19	dynamic	dynamic	ADJ
agb-192	208	20	labeling	labeling	NOUN
agb-192	208	21	provide	provide	VERB
agb-192	208	22	superior	superior	ADJ
agb-192	208	23	performance	performance	NOUN
agb-192	208	24	.	.	PUNCT
agb-192	209	1	in	in	ADP
agb-192	209	2	addition	addition	NOUN
agb-192	209	3	,	,	PUNCT
agb-192	209	4	e	e	NOUN
agb-192	209	5	-	-	NOUN
agb-192	209	6	elan	elan	ADJ
agb-192	209	7	,	,	PUNCT
agb-192	209	8	reparameterization	reparameterization	NOUN
agb-192	209	9	,	,	PUNCT
agb-192	209	10	and	and	CCONJ
agb-192	209	11	model	model	NOUN
agb-192	209	12	scaling	scale	VERB
agb-192	209	13	for	for	ADP
agb-192	209	14	drawing	draw	VERB
agb-192	209	15	adaptive	adaptive	ADJ
agb-192	209	16	bounding	bounding	NOUN
agb-192	209	17	boxes	box	NOUN
agb-192	209	18	have	have	AUX
agb-192	209	19	significantly	significantly	ADV
agb-192	209	20	increased	increase	VERB
agb-192	209	21	the	the	DET
agb-192	209	22	model	model	NOUN
agb-192	209	23	's	's	PART
agb-192	209	24	predictive	predictive	ADJ
agb-192	209	25	power	power	NOUN
agb-192	209	26	and	and	CCONJ
agb-192	209	27	localization	localization	NOUN
agb-192	209	28	capability	capability	NOUN
agb-192	209	29	.	.	PUNCT
agb-192	210	1	yolo	yolo	PROPN
agb-192	210	2	v4	v4	PROPN
agb-192	210	3	should	should	AUX
agb-192	210	4	not	not	PART
agb-192	210	5	be	be	AUX
agb-192	210	6	viewed	view	VERB
agb-192	210	7	as	as	ADP
agb-192	210	8	a	a	DET
agb-192	210	9	suppressive	suppressive	ADJ
agb-192	210	10	model	model	NOUN
agb-192	210	11	.	.	PUNCT
agb-192	211	1	classification	classification	NOUN
agb-192	211	2	of	of	ADP
agb-192	211	3	plant	plant	NOUN
agb-192	211	4	leaf	leaf	NOUN
agb-192	211	5	diseases	disease	NOUN
agb-192	211	6	is	be	AUX
agb-192	211	7	facilitated	facilitate	VERB
agb-192	211	8	by	by	ADP
agb-192	211	9	its	its	PRON
agb-192	211	10	panet	panet	NOUN
agb-192	211	11	-	-	PUNCT
agb-192	211	12	learned	learn	VERB
agb-192	211	13	features	feature	NOUN
agb-192	211	14	with	with	ADP
agb-192	211	15	adaptive	adaptive	ADJ
agb-192	211	16	bounding	bounding	NOUN
agb-192	211	17	boxes	box	NOUN
agb-192	211	18	.	.	PUNCT
agb-192	212	1	nonetheless	nonetheless	ADV
agb-192	212	2	,	,	PUNCT
agb-192	212	3	yolov7	yolov7	PRON
agb-192	212	4	outperforms	outperform	VERB
agb-192	212	5	yolov4	yolov4	PROPN
agb-192	212	6	,	,	PUNCT
agb-192	212	7	as	as	SCONJ
agb-192	212	8	the	the	DET
agb-192	212	9	former	former	ADJ
agb-192	212	10	performs	perform	VERB
agb-192	212	11	better	well	ADV
agb-192	212	12	across	across	ADP
agb-192	212	13	all	all	DET
agb-192	212	14	classification	classification	NOUN
agb-192	212	15	metrics	metric	NOUN
agb-192	212	16	.	.	PUNCT
agb-192	213	1	in	in	ADP
agb-192	213	2	addition	addition	NOUN
agb-192	213	3	,	,	PUNCT
agb-192	213	4	yolov7	yolov7	PRON
agb-192	213	5	is	be	AUX
agb-192	213	6	more	more	ADV
agb-192	213	7	robust	robust	ADJ
agb-192	213	8	in	in	ADP
agb-192	213	9	isolating	isolate	VERB
agb-192	213	10	diseased	diseased	ADJ
agb-192	213	11	leaf	leaf	NOUN
agb-192	213	12	regions	region	NOUN
agb-192	213	13	from	from	ADP
agb-192	213	14	healthy	healthy	ADJ
agb-192	213	15	leaf	leaf	NOUN
agb-192	213	16	regions	region	NOUN
agb-192	213	17	with	with	ADP
agb-192	213	18	varying	vary	VERB
agb-192	213	19	resolutions	resolution	NOUN
agb-192	213	20	,	,	PUNCT
agb-192	213	21	scales	scale	NOUN
agb-192	213	22	,	,	PUNCT
agb-192	213	23	growth	growth	NOUN
agb-192	213	24	cycles	cycle	NOUN
agb-192	213	25	,	,	PUNCT
agb-192	213	26	and	and	CCONJ
agb-192	213	27	environmental	environmental	ADJ
agb-192	213	28	conditions	condition	NOUN
agb-192	213	29	.	.	PUNCT
agb-192	214	1	as	as	ADP
agb-192	214	2	future	future	ADJ
agb-192	214	3	extensions	extension	NOUN
agb-192	214	4	,	,	PUNCT
agb-192	214	5	models	model	NOUN
agb-192	214	6	could	could	AUX
agb-192	214	7	be	be	AUX
agb-192	214	8	constructed	construct	VERB
agb-192	214	9	to	to	PART
agb-192	214	10	output	output	VERB
agb-192	214	11	the	the	DET
agb-192	214	12	infection	infection	NOUN
agb-192	214	13	stage	stage	NOUN
agb-192	214	14	and	and	CCONJ
agb-192	214	15	extent	extent	NOUN
agb-192	214	16	of	of	ADP
agb-192	214	17	the	the	DET
agb-192	214	18	plant	plant	NOUN
agb-192	214	19	leaf	leaf	NOUN
agb-192	214	20	so	so	SCONJ
agb-192	214	21	that	that	SCONJ
agb-192	214	22	producers	producer	NOUN
agb-192	214	23	are	be	AUX
agb-192	214	24	well	well	ADV
agb-192	214	25	-	-	PUNCT
agb-192	214	26	informed	inform	VERB
agb-192	214	27	about	about	ADP
agb-192	214	28	the	the	DET
agb-192	214	29	plant	plant	NOUN
agb-192	214	30	's	's	PART
agb-192	214	31	health	health	NOUN
agb-192	214	32	and	and	CCONJ
agb-192	214	33	can	can	AUX
agb-192	214	34	take	take	VERB
agb-192	214	35	corrective	corrective	ADJ
agb-192	214	36	measures	measure	NOUN
agb-192	214	37	.	.	PUNCT
agb-192	215	1	references	reference	NOUN
agb-192	215	2	alexandratos	alexandrato	NOUN
agb-192	215	3	,	,	PUNCT
agb-192	215	4	n.	n.	NOUN
agb-192	215	5	,	,	PUNCT
agb-192	215	6	&	&	CCONJ
agb-192	215	7	bruinsma	bruinsma	PROPN
agb-192	215	8	,	,	PUNCT
agb-192	215	9	j.	j.	PROPN
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agb-192	215	11	2012	2012	NUM
agb-192	215	12	)	)	PUNCT
agb-192	215	13	.	.	PUNCT
agb-192	216	1	world	world	NOUN
agb-192	216	2	agriculture	agriculture	PROPN
agb-192	216	3	towards	towards	ADP
agb-192	216	4	2030/2050	2030/2050	NUM
agb-192	216	5	:	:	PUNCT
agb-192	216	6	the	the	DET
agb-192	216	7	2012	2012	NUM
agb-192	216	8	revision	revision	NOUN
agb-192	216	9	.	.	PUNCT
agb-192	217	1	research	research	NOUN
agb-192	217	2	in	in	ADP
agb-192	217	3	agricultural	agricultural	ADJ
agb-192	217	4	&	&	CCONJ
agb-192	217	5	applied	applied	ADJ
agb-192	217	6	economics	economic	NOUN
agb-192	217	7	,	,	PUNCT
agb-192	217	8	(	(	PUNCT
agb-192	217	9	11	11	NUM
agb-192	217	10	)	)	PUNCT
agb-192	217	11	,	,	PUNCT
agb-192	217	12	1	1	NUM
agb-192	217	13	-	-	SYM
agb-192	217	14	147	147	NUM
agb-192	217	15	.	.	PUNCT
agb-192	218	1	doi	doi	PROPN
agb-192	218	2	:	:	PUNCT
agb-192	218	3	http://dx.doi.org/10.22004/ag.econ.288998	http://dx.doi.org/10.22004/ag.econ.288998	PROPN
agb-192	218	4	allahyari	allahyari	PROPN
agb-192	218	5	,	,	PUNCT
agb-192	218	6	m.	m.	NOUN
agb-192	218	7	s.	s.	PROPN
agb-192	218	8	,	,	PUNCT
agb-192	218	9	mohammadzadeh	mohammadzadeh	PROPN
agb-192	218	10	,	,	PUNCT
agb-192	218	11	m.	m.	NOUN
agb-192	218	12	,	,	PUNCT
agb-192	218	13	&	&	CCONJ
agb-192	218	14	nastis	nastis	PROPN
agb-192	218	15	,	,	PUNCT
agb-192	218	16	s.	s.	PROPN
agb-192	218	17	a.	a.	PROPN
agb-192	219	1	(	(	PUNCT
agb-192	219	2	2016	2016	NUM
agb-192	219	3	)	)	PUNCT
agb-192	219	4	.	.	PUNCT
agb-192	220	1	agricultural	agricultural	ADJ
agb-192	220	2	experts	expert	NOUN
agb-192	220	3	’	’	PART
agb-192	220	4	attitude	attitude	NOUN
agb-192	220	5	towards	towards	ADP
agb-192	220	6	precision	precision	NOUN
agb-192	220	7	agriculture	agriculture	NOUN
agb-192	220	8	:	:	PUNCT
agb-192	220	9	evidence	evidence	NOUN
agb-192	220	10	from	from	ADP
agb-192	220	11	guilan	guilan	PROPN
agb-192	220	12	agricultural	agricultural	ADJ
agb-192	220	13	organization	organization	NOUN
agb-192	220	14	,	,	PUNCT
agb-192	220	15	northern	northern	ADJ
agb-192	220	16	iran	iran	PROPN
agb-192	220	17	.	.	PUNCT
agb-192	221	1	information	information	NOUN
agb-192	221	2	processing	processing	NOUN
agb-192	221	3	in	in	ADP
agb-192	221	4	agriculture	agriculture	NOUN
agb-192	221	5	,	,	PUNCT
agb-192	221	6	3(3	3(3	NUM
agb-192	221	7	)	)	PUNCT
agb-192	221	8	,	,	PUNCT
agb-192	221	9	183	183	NUM
agb-192	221	10	-	-	SYM
agb-192	221	11	189	189	NUM
agb-192	221	12	.	.	PUNCT
agb-192	222	1	doi	doi	PROPN
agb-192	222	2	:	:	PUNCT
agb-192	222	3	https://doi.org/10.1016/j.inpa.2016.07.001	https://doi.org/10.1016/j.inpa.2016.07.001	PROPN
agb-192	222	4	anand	anand	PROPN
agb-192	222	5	,	,	PUNCT
agb-192	222	6	t.	t.	PROPN
agb-192	222	7	,	,	PUNCT
agb-192	222	8	sinha	sinha	PROPN
agb-192	222	9	,	,	PUNCT
agb-192	222	10	s.	s.	PROPN
agb-192	222	11	,	,	PUNCT
agb-192	222	12	mandal	mandal	PROPN
agb-192	222	13	,	,	PUNCT
agb-192	222	14	m.	m.	NOUN
agb-192	222	15	,	,	PUNCT
agb-192	222	16	chamola	chamola	PROPN
agb-192	222	17	,	,	PUNCT
agb-192	222	18	v.	v.	PROPN
agb-192	222	19	,	,	PUNCT
agb-192	222	20	&	&	CCONJ
agb-192	222	21	yu	yu	PROPN
agb-192	222	22	,	,	PUNCT
agb-192	222	23	f.	f.	PROPN
agb-192	222	24	r.	r.	PROPN
agb-192	222	25	(	(	PUNCT
agb-192	222	26	2021	2021	NUM
agb-192	222	27	)	)	PUNCT
agb-192	222	28	.	.	PUNCT
agb-192	223	1	agrisegnet	agrisegnet	NOUN
agb-192	223	2	:	:	PUNCT
agb-192	223	3	deep	deep	ADJ
agb-192	223	4	aerial	aerial	ADJ
agb-192	223	5	semantic	semantic	ADJ
agb-192	223	6	segmentation	segmentation	NOUN
agb-192	223	7	framework	framework	NOUN
agb-192	223	8	for	for	ADP
agb-192	223	9	iot	iot	ADJ
agb-192	223	10	-	-	PUNCT
agb-192	223	11	assisted	assist	VERB
agb-192	223	12	precision	precision	NOUN
agb-192	223	13	agriculture	agriculture	NOUN
agb-192	223	14	.	.	PUNCT
agb-192	224	1	ieee	ieee	NOUN
agb-192	224	2	sensors	sensor	NOUN
agb-192	224	3	journal	journal	PROPN
agb-192	224	4	,	,	PUNCT
agb-192	224	5	21(16	21(16	NOUN
agb-192	224	6	)	)	PUNCT
agb-192	224	7	,	,	PUNCT
agb-192	224	8	17581	17581	NUM
agb-192	224	9	-	-	SYM
agb-192	224	10	17590	17590	NUM
agb-192	224	11	.	.	PUNCT
agb-192	225	1	doi	doi	NOUN
agb-192	225	2	:	:	PUNCT
agb-192	225	3	https://doi.org/10.1109/jsen.2021.3071290	https://doi.org/10.1109/jsen.2021.3071290	PROPN
agb-192	225	4	anderson	anderson	PROPN
agb-192	225	5	,	,	PUNCT
agb-192	225	6	p.	p.	PROPN
agb-192	225	7	k.	k.	PROPN
agb-192	225	8	,	,	PUNCT
agb-192	225	9	cunningham	cunningham	PROPN
agb-192	225	10	,	,	PUNCT
agb-192	225	11	a.	a.	NOUN
agb-192	225	12	a.	a.	PROPN
agb-192	225	13	,	,	PUNCT
agb-192	225	14	patel	patel	PROPN
agb-192	225	15	,	,	PUNCT
agb-192	225	16	n.	n.	PROPN
agb-192	225	17	g.	g.	PROPN
agb-192	225	18	,	,	PUNCT
agb-192	225	19	morales	morale	NOUN
agb-192	225	20	,	,	PUNCT
agb-192	225	21	f.	f.	PROPN
agb-192	225	22	j.	j.	PROPN
agb-192	225	23	,	,	PUNCT
agb-192	225	24	epstein	epstein	PROPN
agb-192	225	25	,	,	PUNCT
agb-192	225	26	p.	p.	PROPN
agb-192	225	27	r.	r.	PROPN
agb-192	225	28	,	,	PUNCT
agb-192	225	29	&	&	CCONJ
agb-192	225	30	daszak	daszak	PROPN
agb-192	225	31	,	,	PUNCT
agb-192	225	32	p.	p.	NOUN
agb-192	225	33	(	(	PUNCT
agb-192	225	34	2004	2004	NUM
agb-192	225	35	)	)	PUNCT
agb-192	225	36	.	.	PUNCT
agb-192	226	1	emerging	emerge	VERB
agb-192	226	2	infectious	infectious	ADJ
agb-192	226	3	diseases	disease	NOUN
agb-192	226	4	of	of	ADP
agb-192	226	5	plants	plant	NOUN
agb-192	226	6	:	:	PUNCT
agb-192	226	7	pathogen	pathogen	NOUN
agb-192	226	8	pollution	pollution	NOUN
agb-192	226	9	,	,	PUNCT
agb-192	226	10	climate	climate	NOUN
agb-192	226	11	change	change	NOUN
agb-192	226	12	and	and	CCONJ
agb-192	226	13	agrotechnology	agrotechnology	NOUN
agb-192	226	14	drivers	driver	NOUN
agb-192	226	15	.	.	PUNCT
agb-192	227	1	trends	trend	NOUN
agb-192	227	2	in	in	ADP
agb-192	227	3	ecology	ecology	NOUN
agb-192	227	4	&	&	CCONJ
agb-192	227	5	evolution	evolution	NOUN
agb-192	227	6	,	,	PUNCT
agb-192	227	7	19(10	19(10	NUM
agb-192	227	8	)	)	PUNCT
agb-192	227	9	,	,	PUNCT
agb-192	227	10	535	535	NUM
agb-192	227	11	-	-	SYM
agb-192	227	12	544	544	NUM
agb-192	227	13	.	.	PUNCT
agb-192	228	1	doi	doi	NOUN
agb-192	228	2	:	:	PUNCT
agb-192	228	3	https://doi.org/10.1016/j.tree.2004.07.021	https://doi.org/10.1016/j.tree.2004.07.021	NUM
agb-192	228	4	aravindhan	aravindhan	NOUN
agb-192	228	5	,	,	PUNCT
agb-192	228	6	s.	s.	PROPN
agb-192	228	7	,	,	PUNCT
agb-192	228	8	&	&	CCONJ
agb-192	228	9	tamjis	tamjis	PROPN
agb-192	228	10	,	,	PUNCT
agb-192	228	11	m.	m.	NOUN
agb-192	228	12	(	(	PUNCT
agb-192	228	13	2022	2022	NUM
agb-192	228	14	)	)	PUNCT
agb-192	228	15	.	.	PUNCT
agb-192	229	1	leaf	leaf	NOUN
agb-192	229	2	disease	disease	NOUN
agb-192	229	3	detection	detection	NOUN
agb-192	229	4	by	by	ADP
agb-192	229	5	using	use	VERB
agb-192	229	6	convolutional	convolutional	ADJ
agb-192	229	7	pretrained	pretraine	VERB
agb-192	229	8	model	model	NOUN
agb-192	229	9	.	.	PUNCT
agb-192	230	1	international	international	PROPN
agb-192	230	2	http://dx.doi.org/10.22004/ag.econ.288998	http://dx.doi.org/10.22004/ag.econ.288998	PROPN
agb-192	230	3	https://doi.org/10.1016/j.inpa.2016.07.001	https://doi.org/10.1016/j.inpa.2016.07.001	PROPN
agb-192	230	4	https://doi.org/10.1109/jsen.2021.3071290	https://doi.org/10.1109/jsen.2021.3071290	PROPN
agb-192	230	5	https://doi.org/10.1016/j.tree.2004.07.021	https://doi.org/10.1016/j.tree.2004.07.021	NUM
agb-192	230	6	agbioforum	agbioforum	NOUN
agb-192	230	7	,	,	PUNCT
agb-192	230	8	25(1	25(1	NUM
agb-192	230	9	)	)	PUNCT
agb-192	230	10	,	,	PUNCT
agb-192	230	11	2023	2023	NUM
agb-192	230	12	|	|	ADV
agb-192	230	13	66	66	NUM
agb-192	230	14	xinming	xinming	NOUN
agb-192	230	15	,	,	PUNCT
agb-192	230	16	hong	hong	PROPN
agb-192	230	17	,	,	PUNCT
agb-192	230	18	mohd	mohd	PROPN
agb-192	230	19	ariffin	ariffin	NOUN
agb-192	230	20	,	,	PUNCT
agb-192	230	21	ismail	ismail	PROPN
agb-192	230	22	.	.	PUNCT
agb-192	231	1	—	—	PUNCT
agb-192	231	2	comparative	comparative	ADJ
agb-192	231	3	study	study	NOUN
agb-192	231	4	on	on	ADP
agb-192	231	5	leaf	leaf	NOUN
agb-192	231	6	disease	disease	NOUN
agb-192	231	7	identification	identification	NOUN
agb-192	231	8	using	use	VERB
agb-192	231	9	yolo	yolo	ADJ
agb-192	231	10	v4	v4	NOUN
agb-192	231	11	and	and	CCONJ
agb-192	231	12	yolo	yolo	ADJ
agb-192	231	13	v7	v7	VERB
agb-192	231	14	algorithm	algorithm	NOUN
agb-192	231	15	journal	journal	NOUN
agb-192	231	16	of	of	ADP
agb-192	231	17	communication	communication	NOUN
agb-192	231	18	networks	network	NOUN
agb-192	231	19	and	and	CCONJ
agb-192	231	20	information	information	NOUN
agb-192	231	21	security	security	NOUN
agb-192	231	22	,	,	PUNCT
agb-192	231	23	14(1s	14(1s	NUM
agb-192	231	24	)	)	PUNCT
agb-192	231	25	,	,	PUNCT
agb-192	231	26	114	114	NUM
agb-192	231	27	-	-	SYM
agb-192	231	28	120	120	NUM
agb-192	231	29	.	.	PUNCT
agb-192	232	1	doi	doi	NOUN
agb-192	232	2	:	:	PUNCT
agb-192	232	3	https://doi.org/10.17762/ijcnis.v14i1s.5619	https://doi.org/10.17762/ijcnis.v14i1s.5619	ADJ
agb-192	232	4	arivazhagan	arivazhagan	NOUN
agb-192	232	5	,	,	PUNCT
agb-192	232	6	s.	s.	PROPN
agb-192	232	7	,	,	PUNCT
agb-192	232	8	shebiah	shebiah	PROPN
agb-192	232	9	,	,	PUNCT
agb-192	232	10	r.	r.	PROPN
agb-192	232	11	n.	n.	PROPN
agb-192	232	12	,	,	PUNCT
agb-192	232	13	ananthi	ananthi	PROPN
agb-192	232	14	,	,	PUNCT
agb-192	232	15	s.	s.	PROPN
agb-192	232	16	,	,	PUNCT
agb-192	232	17	&	&	CCONJ
agb-192	232	18	varthini	varthini	PROPN
agb-192	232	19	,	,	PUNCT
agb-192	232	20	s.	s.	PROPN
agb-192	232	21	v.	v.	PROPN
agb-192	232	22	(	(	PUNCT
agb-192	232	23	2013	2013	NUM
agb-192	232	24	)	)	PUNCT
agb-192	232	25	.	.	PUNCT
agb-192	233	1	detection	detection	NOUN
agb-192	233	2	of	of	ADP
agb-192	233	3	unhealthy	unhealthy	ADJ
agb-192	233	4	region	region	NOUN
agb-192	233	5	of	of	ADP
agb-192	233	6	plant	plant	NOUN
agb-192	233	7	leaves	leave	NOUN
agb-192	233	8	and	and	CCONJ
agb-192	233	9	classification	classification	NOUN
agb-192	233	10	of	of	ADP
agb-192	233	11	plant	plant	NOUN
agb-192	233	12	leaf	leaf	NOUN
agb-192	233	13	diseases	disease	NOUN
agb-192	233	14	using	use	VERB
agb-192	233	15	texture	texture	NOUN
agb-192	233	16	features	feature	NOUN
agb-192	233	17	.	.	PUNCT
agb-192	234	1	agricultural	agricultural	ADJ
agb-192	234	2	engineering	engineering	NOUN
agb-192	234	3	international	international	ADJ
agb-192	234	4	:	:	PUNCT
agb-192	234	5	cigr	cigr	ADJ
agb-192	234	6	journal	journal	NOUN
agb-192	234	7	,	,	PUNCT
agb-192	234	8	15(1	15(1	NUM
agb-192	234	9	)	)	PUNCT
agb-192	234	10	,	,	PUNCT
agb-192	234	11	211	211	NUM
agb-192	234	12	-	-	SYM
agb-192	234	13	217	217	NUM
agb-192	234	14	.	.	PUNCT
agb-192	235	1	retrieved	retrieve	VERB
agb-192	235	2	from	from	ADP
agb-192	235	3	https://cigrjournal.org/index.php/ejounral/article/vi	https://cigrjournal.org/index.php/ejounral/article/vi	NOUN
agb-192	235	4	ew/2338	ew/2338	NOUN
agb-192	235	5	chai	chai	NOUN
agb-192	235	6	,	,	PUNCT
agb-192	235	7	j.	j.	PROPN
agb-192	235	8	,	,	PUNCT
agb-192	235	9	zeng	zeng	PROPN
agb-192	235	10	,	,	PUNCT
agb-192	235	11	h.	h.	PROPN
agb-192	235	12	,	,	PUNCT
agb-192	235	13	li	li	PROPN
agb-192	235	14	,	,	PUNCT
agb-192	235	15	a.	a.	PROPN
agb-192	235	16	,	,	PUNCT
agb-192	235	17	&	&	CCONJ
agb-192	235	18	ngai	ngai	PROPN
agb-192	235	19	,	,	PUNCT
agb-192	235	20	e.	e.	PROPN
agb-192	235	21	w.	w.	PROPN
agb-192	235	22	(	(	PUNCT
agb-192	235	23	2021	2021	NUM
agb-192	235	24	)	)	PUNCT
agb-192	235	25	.	.	PUNCT
agb-192	236	1	deep	deep	ADJ
agb-192	236	2	learning	learning	NOUN
agb-192	236	3	in	in	ADP
agb-192	236	4	computer	computer	NOUN
agb-192	236	5	vision	vision	NOUN
agb-192	236	6	:	:	PUNCT
agb-192	236	7	a	a	DET
agb-192	236	8	critical	critical	ADJ
agb-192	236	9	review	review	NOUN
agb-192	236	10	of	of	ADP
agb-192	236	11	emerging	emerge	VERB
agb-192	236	12	techniques	technique	NOUN
agb-192	236	13	and	and	CCONJ
agb-192	236	14	application	application	NOUN
agb-192	236	15	scenarios	scenario	NOUN
agb-192	236	16	.	.	PUNCT
agb-192	237	1	machine	machine	NOUN
agb-192	237	2	learning	learn	VERB
agb-192	237	3	with	with	ADP
agb-192	237	4	applications	application	NOUN
agb-192	237	5	,	,	PUNCT
agb-192	237	6	6	6	NUM
agb-192	237	7	,	,	PUNCT
agb-192	237	8	100134	100134	NUM
agb-192	237	9	.	.	PUNCT
agb-192	238	1	doi	doi	NOUN
agb-192	238	2	:	:	PUNCT
agb-192	238	3	https://doi.org/10.1016/j.mlwa.2021.100134	https://doi.org/10.1016/j.mlwa.2021.100134	ADJ
agb-192	238	4	cisternas	cisternas	PROPN
agb-192	238	5	,	,	PUNCT
agb-192	238	6	i.	i.	NOUN
agb-192	238	7	,	,	PUNCT
agb-192	238	8	velásquez	velásquez	NOUN
agb-192	238	9	,	,	PUNCT
agb-192	238	10	i.	i.	PROPN
agb-192	238	11	,	,	PUNCT
agb-192	238	12	caro	caro	PROPN
agb-192	238	13	,	,	PUNCT
agb-192	238	14	a.	a.	PROPN
agb-192	238	15	,	,	PUNCT
agb-192	238	16	&	&	CCONJ
agb-192	238	17	rodríguez	rodríguez	PROPN
agb-192	238	18	,	,	PUNCT
agb-192	238	19	a.	a.	NOUN
agb-192	238	20	(	(	PUNCT
agb-192	238	21	2020	2020	NUM
agb-192	238	22	)	)	PUNCT
agb-192	238	23	.	.	PUNCT
agb-192	239	1	systematic	systematic	ADJ
agb-192	239	2	literature	literature	PROPN
agb-192	239	3	review	review	PROPN
agb-192	239	4	of	of	ADP
agb-192	239	5	implementations	implementation	NOUN
agb-192	239	6	of	of	ADP
agb-192	239	7	precision	precision	NOUN
agb-192	239	8	agriculture	agriculture	NOUN
agb-192	239	9	.	.	PUNCT
agb-192	240	1	computers	computer	NOUN
agb-192	240	2	and	and	CCONJ
agb-192	240	3	electronics	electronic	NOUN
agb-192	240	4	in	in	ADP
agb-192	240	5	agriculture	agriculture	NOUN
agb-192	240	6	,	,	PUNCT
agb-192	240	7	176	176	NUM
agb-192	240	8	,	,	PUNCT
agb-192	240	9	105626	105626	NUM
agb-192	240	10	.	.	PUNCT
agb-192	241	1	doi	doi	NOUN
agb-192	241	2	:	:	PUNCT
agb-192	241	3	https://doi.org/10.1016/j.compag.2020.105626	https://doi.org/10.1016/j.compag.2020.105626	PROPN
agb-192	241	4	dai	dai	PROPN
agb-192	241	5	,	,	PUNCT
agb-192	241	6	j.	j.	PROPN
agb-192	241	7	,	,	PUNCT
agb-192	241	8	li	li	PROPN
agb-192	241	9	,	,	PUNCT
agb-192	241	10	y.	y.	PROPN
agb-192	241	11	,	,	PUNCT
agb-192	241	12	he	he	PRON
agb-192	241	13	,	,	PUNCT
agb-192	241	14	k.	k.	PROPN
agb-192	241	15	,	,	PUNCT
agb-192	241	16	&	&	CCONJ
agb-192	241	17	sun	sun	PROPN
agb-192	241	18	,	,	PUNCT
agb-192	241	19	j.	j.	PROPN
agb-192	241	20	(	(	PUNCT
agb-192	241	21	2016	2016	NUM
agb-192	241	22	)	)	PUNCT
agb-192	241	23	.	.	PUNCT
agb-192	242	1	r	r	X
agb-192	242	2	-	-	PUNCT
agb-192	242	3	fcn	fcn	NOUN
agb-192	242	4	:	:	PUNCT
agb-192	242	5	object	object	VERB
agb-192	242	6	detection	detection	NOUN
agb-192	242	7	via	via	ADP
agb-192	242	8	region	region	NOUN
agb-192	242	9	-	-	PUNCT
agb-192	242	10	based	base	VERB
agb-192	242	11	fully	fully	ADV
agb-192	242	12	convolutional	convolutional	ADJ
agb-192	242	13	networks	network	NOUN
agb-192	242	14	.	.	PUNCT
agb-192	243	1	in	in	ADP
agb-192	243	2	nips'16	nips'16	NOUN
agb-192	243	3	:	:	PUNCT
agb-192	243	4	proceedings	proceeding	NOUN
agb-192	243	5	of	of	ADP
agb-192	243	6	the	the	DET
agb-192	243	7	30th	30th	ADJ
agb-192	243	8	international	international	ADJ
agb-192	243	9	conference	conference	NOUN
agb-192	243	10	on	on	ADP
agb-192	243	11	neural	neural	ADJ
agb-192	243	12	information	information	NOUN
agb-192	243	13	processing	processing	NOUN
agb-192	243	14	systems	system	NOUN
agb-192	243	15	(	(	PUNCT
agb-192	243	16	vol	vol	NOUN
agb-192	243	17	.	.	PROPN
agb-192	243	18	29	29	NUM
agb-192	243	19	,	,	PUNCT
agb-192	243	20	pp	pp	ADJ
agb-192	243	21	.	.	PUNCT
agb-192	243	22	379–387	379–387	NUM
agb-192	243	23	)	)	PUNCT
agb-192	243	24	.	.	PUNCT
agb-192	244	1	doi	doi	NOUN
agb-192	244	2	:	:	PUNCT
agb-192	244	3	https://doi.org/10.48550/arxiv.1605.06409	https://doi.org/10.48550/arxiv.1605.06409	PROPN
agb-192	244	4	firdaus	firdaus	PROPN
agb-192	244	5	,	,	PUNCT
agb-192	244	6	m.	m.	NOUN
agb-192	244	7	y.	y.	PROPN
agb-192	244	8	,	,	PUNCT
agb-192	244	9	&	&	CCONJ
agb-192	244	10	kamil	kamil	PROPN
agb-192	244	11	,	,	PUNCT
agb-192	244	12	m.	m.	NOUN
agb-192	244	13	(	(	PUNCT
agb-192	244	14	2022	2022	NUM
agb-192	244	15	)	)	PUNCT
agb-192	244	16	.	.	PUNCT
agb-192	245	1	climate	climate	NOUN
agb-192	245	2	change	change	NOUN
agb-192	245	3	analysis	analysis	NOUN
agb-192	245	4	based	base	VERB
agb-192	245	5	on	on	ADP
agb-192	245	6	satellite	satellite	NOUN
agb-192	245	7	multispectral	multispectral	ADJ
agb-192	245	8	image	image	NOUN
agb-192	245	9	processing	processing	NOUN
agb-192	245	10	in	in	ADP
agb-192	245	11	feature	feature	NOUN
agb-192	245	12	selection	selection	NOUN
agb-192	245	13	using	use	VERB
agb-192	245	14	reinforcement	reinforcement	NOUN
agb-192	245	15	learning	learning	NOUN
agb-192	245	16	.	.	PUNCT
agb-192	246	1	international	international	ADJ
agb-192	246	2	journal	journal	NOUN
agb-192	246	3	of	of	ADP
agb-192	246	4	communication	communication	NOUN
agb-192	246	5	networks	network	NOUN
agb-192	246	6	and	and	CCONJ
agb-192	246	7	information	information	NOUN
agb-192	246	8	security	security	NOUN
agb-192	246	9	,	,	PUNCT
agb-192	246	10	14(2	14(2	NUM
agb-192	246	11	)	)	PUNCT
agb-192	246	12	,	,	PUNCT
agb-192	246	13	261	261	NUM
agb-192	246	14	-	-	SYM
agb-192	246	15	272	272	NUM
agb-192	246	16	.	.	PUNCT
agb-192	247	1	doi	doi	PROPN
agb-192	247	2	:	:	PUNCT
agb-192	247	3	https://doi.org/10.17762/ijcnis.v14i2.5520	https://doi.org/10.17762/ijcnis.v14i2.5520	X
agb-192	247	4	fuentes	fuentes	PROPN
agb-192	247	5	,	,	PUNCT
agb-192	247	6	a.	a.	PROPN
agb-192	247	7	,	,	PUNCT
agb-192	247	8	yoon	yoon	PROPN
agb-192	247	9	,	,	PUNCT
agb-192	247	10	s.	s.	PROPN
agb-192	247	11	,	,	PUNCT
agb-192	247	12	kim	kim	PROPN
agb-192	247	13	,	,	PUNCT
agb-192	247	14	s.	s.	PROPN
agb-192	247	15	c.	c.	PROPN
agb-192	247	16	,	,	PUNCT
agb-192	247	17	&	&	CCONJ
agb-192	247	18	park	park	PROPN
agb-192	247	19	,	,	PUNCT
agb-192	247	20	d.	d.	PROPN
agb-192	247	21	s.	s.	PROPN
agb-192	247	22	(	(	PUNCT
agb-192	247	23	2017	2017	NUM
agb-192	247	24	)	)	PUNCT
agb-192	247	25	.	.	PUNCT
agb-192	248	1	a	a	DET
agb-192	248	2	robust	robust	ADJ
agb-192	248	3	deep	deep	ADJ
agb-192	248	4	-	-	PUNCT
agb-192	248	5	learning	learning	NOUN
agb-192	248	6	-	-	PUNCT
agb-192	248	7	based	base	VERB
agb-192	248	8	detector	detector	NOUN
agb-192	248	9	for	for	ADP
agb-192	248	10	real	real	ADJ
agb-192	248	11	-	-	PUNCT
agb-192	248	12	time	time	NOUN
agb-192	248	13	tomato	tomato	NOUN
agb-192	248	14	plant	plant	NOUN
agb-192	248	15	diseases	disease	NOUN
agb-192	248	16	and	and	CCONJ
agb-192	248	17	pests	pest	NOUN
agb-192	248	18	recognition	recognition	NOUN
agb-192	248	19	.	.	PUNCT
agb-192	249	1	sensors	sensor	NOUN
agb-192	249	2	,	,	PUNCT
agb-192	249	3	17(9	17(9	NOUN
agb-192	249	4	)	)	PUNCT
agb-192	249	5	,	,	PUNCT
agb-192	249	6	2022	2022	NUM
agb-192	249	7	.	.	PUNCT
agb-192	250	1	doi	doi	NOUN
agb-192	250	2	:	:	PUNCT
agb-192	250	3	https://doi.org/10.3390/s17092022	https://doi.org/10.3390/s17092022	NOUN
agb-192	250	4	gavhale	gavhale	NOUN
agb-192	250	5	,	,	PUNCT
agb-192	250	6	k.	k.	PROPN
agb-192	250	7	r.	r.	PROPN
agb-192	250	8	,	,	PUNCT
agb-192	250	9	&	&	CCONJ
agb-192	250	10	gawande	gawande	PROPN
agb-192	250	11	,	,	PUNCT
agb-192	250	12	u.	u.	NOUN
agb-192	250	13	(	(	PUNCT
agb-192	250	14	2014	2014	NUM
agb-192	250	15	)	)	PUNCT
agb-192	250	16	.	.	PUNCT
agb-192	251	1	an	an	DET
agb-192	251	2	overview	overview	NOUN
agb-192	251	3	of	of	ADP
agb-192	251	4	the	the	DET
agb-192	251	5	research	research	NOUN
agb-192	251	6	on	on	ADP
agb-192	251	7	plant	plant	NOUN
agb-192	251	8	leaves	leave	NOUN
agb-192	251	9	disease	disease	NOUN
agb-192	251	10	detection	detection	NOUN
agb-192	251	11	using	use	VERB
agb-192	251	12	image	image	NOUN
agb-192	251	13	processing	processing	NOUN
agb-192	251	14	techniques	technique	NOUN
agb-192	251	15	.	.	PUNCT
agb-192	252	1	iosr	iosr	ADJ
agb-192	252	2	journal	journal	PROPN
agb-192	252	3	of	of	ADP
agb-192	252	4	computer	computer	NOUN
agb-192	252	5	engineering	engineering	NOUN
agb-192	252	6	(	(	PUNCT
agb-192	252	7	iosr	iosr	PROPN
agb-192	252	8	-	-	PUNCT
agb-192	252	9	jce	jce	NOUN
agb-192	252	10	)	)	PUNCT
agb-192	252	11	,	,	PUNCT
agb-192	252	12	16(1	16(1	X
agb-192	252	13	)	)	PUNCT
agb-192	252	14	,	,	PUNCT
agb-192	252	15	10	10	NUM
agb-192	252	16	-	-	SYM
agb-192	252	17	16	16	NUM
agb-192	252	18	.	.	PUNCT
agb-192	253	1	retrieved	retrieve	VERB
agb-192	253	2	from	from	ADP
agb-192	253	3	https://www.researchgate.net/profile/ujwallagawande/publication/314436486	https://www.researchgate.net/profile/ujwallagawande/publication/314436486	PROPN
agb-192	253	4	gilligan	gilligan	NOUN
agb-192	253	5	,	,	PUNCT
agb-192	253	6	c.	c.	PROPN
agb-192	253	7	a.	a.	PROPN
agb-192	253	8	(	(	PUNCT
agb-192	253	9	2008	2008	NUM
agb-192	253	10	)	)	PUNCT
agb-192	253	11	.	.	PUNCT
agb-192	254	1	sustainable	sustainable	ADJ
agb-192	254	2	agriculture	agriculture	NOUN
agb-192	254	3	and	and	CCONJ
agb-192	254	4	plant	plant	NOUN
agb-192	254	5	diseases	disease	NOUN
agb-192	254	6	:	:	PUNCT
agb-192	254	7	an	an	DET
agb-192	254	8	epidemiological	epidemiological	ADJ
agb-192	254	9	perspective	perspective	NOUN
agb-192	254	10	.	.	PUNCT
agb-192	255	1	philosophical	philosophical	ADJ
agb-192	255	2	transactions	transaction	NOUN
agb-192	255	3	of	of	ADP
agb-192	255	4	the	the	DET
agb-192	255	5	royal	royal	ADJ
agb-192	255	6	society	society	NOUN
agb-192	255	7	b	b	PROPN
agb-192	255	8	:	:	PUNCT
agb-192	255	9	biological	biological	ADJ
agb-192	255	10	sciences	science	NOUN
agb-192	255	11	,	,	PUNCT
agb-192	255	12	363(1492	363(1492	NUM
agb-192	255	13	)	)	PUNCT
agb-192	255	14	,	,	PUNCT
agb-192	255	15	741	741	NUM
agb-192	255	16	-	-	SYM
agb-192	255	17	759	759	NUM
agb-192	255	18	.	.	PUNCT
agb-192	256	1	doi	doi	NOUN
agb-192	256	2	:	:	PUNCT
agb-192	256	3	https://doi.org/10.1098/rstb.2007.2181	https://doi.org/10.1098/rstb.2007.2181	PROPN
agb-192	256	4	girshick	girshick	PROPN
agb-192	256	5	,	,	PUNCT
agb-192	256	6	r.	r.	PROPN
agb-192	256	7	,	,	PUNCT
agb-192	256	8	donahue	donahue	PROPN
agb-192	256	9	,	,	PUNCT
agb-192	256	10	j.	j.	PROPN
agb-192	256	11	,	,	PUNCT
agb-192	256	12	darrell	darrell	PROPN
agb-192	256	13	,	,	PUNCT
agb-192	256	14	t.	t.	PROPN
agb-192	256	15	,	,	PUNCT
agb-192	256	16	&	&	CCONJ
agb-192	256	17	malik	malik	PROPN
agb-192	256	18	,	,	PUNCT
agb-192	256	19	j.	j.	PROPN
agb-192	256	20	(	(	PUNCT
agb-192	256	21	2014	2014	NUM
agb-192	256	22	)	)	PUNCT
agb-192	256	23	.	.	PUNCT
agb-192	257	1	rich	rich	ADJ
agb-192	257	2	feature	feature	NOUN
agb-192	257	3	hierarchies	hierarchy	NOUN
agb-192	257	4	for	for	ADP
agb-192	257	5	accurate	accurate	ADJ
agb-192	257	6	object	object	NOUN
agb-192	257	7	detection	detection	NOUN
agb-192	257	8	and	and	CCONJ
agb-192	257	9	semantic	semantic	ADJ
agb-192	257	10	segmentation	segmentation	NOUN
agb-192	257	11	.	.	PUNCT
agb-192	258	1	in	in	ADP
agb-192	258	2	proceedings	proceeding	NOUN
agb-192	258	3	of	of	ADP
agb-192	258	4	the	the	DET
agb-192	258	5	ieee	ieee	NOUN
agb-192	258	6	conference	conference	NOUN
agb-192	258	7	on	on	ADP
agb-192	258	8	computer	computer	NOUN
agb-192	258	9	vision	vision	NOUN
agb-192	258	10	and	and	CCONJ
agb-192	258	11	pattern	pattern	NOUN
agb-192	258	12	recognition	recognition	NOUN
agb-192	258	13	(	(	PUNCT
agb-192	258	14	pp	pp	ADJ
agb-192	258	15	.	.	PUNCT
agb-192	259	1	580	580	NUM
agb-192	259	2	-	-	SYM
agb-192	259	3	587	587	NUM
agb-192	259	4	)	)	PUNCT
agb-192	259	5	.	.	PUNCT
agb-192	260	1	ieee	ieee	NOUN
agb-192	260	2	computer	computer	NOUN
agb-192	260	3	society	society	NOUN
agb-192	260	4	.	.	PUNCT
agb-192	261	1	doi	doi	NOUN
agb-192	261	2	:	:	PUNCT
agb-192	261	3	https://doi.org/10.1109/cvpr.2014.81	https://doi.org/10.1109/cvpr.2014.81	ADJ
agb-192	261	4	hashemi	hashemi	NOUN
agb-192	261	5	-	-	PUNCT
agb-192	261	6	beni	beni	NOUN
agb-192	261	7	,	,	PUNCT
agb-192	261	8	l.	l.	PROPN
agb-192	261	9	,	,	PUNCT
agb-192	261	10	&	&	CCONJ
agb-192	261	11	gebrehiwot	gebrehiwot	PROPN
agb-192	261	12	,	,	PUNCT
agb-192	261	13	a.	a.	NOUN
agb-192	261	14	(	(	PUNCT
agb-192	261	15	2020	2020	NUM
agb-192	261	16	)	)	PUNCT
agb-192	261	17	.	.	PUNCT
agb-192	262	1	deep	deep	ADJ
agb-192	262	2	learning	learning	NOUN
agb-192	262	3	for	for	ADP
agb-192	262	4	remote	remote	ADJ
agb-192	262	5	sensing	sense	VERB
agb-192	262	6	image	image	NOUN
agb-192	262	7	classification	classification	NOUN
agb-192	262	8	for	for	ADP
agb-192	262	9	agriculture	agriculture	NOUN
agb-192	262	10	applications	application	NOUN
agb-192	262	11	.	.	PUNCT
agb-192	263	1	the	the	DET
agb-192	263	2	international	international	ADJ
agb-192	263	3	archives	archive	NOUN
agb-192	263	4	of	of	ADP
agb-192	263	5	photogrammetry	photogrammetry	NOUN
agb-192	263	6	,	,	PUNCT
agb-192	263	7	remote	remote	ADJ
agb-192	263	8	sensing	sensing	NOUN
agb-192	263	9	and	and	CCONJ
agb-192	263	10	spatial	spatial	ADJ
agb-192	263	11	information	information	NOUN
agb-192	263	12	sciences	science	NOUN
agb-192	263	13	,	,	PUNCT
agb-192	263	14	51	51	NUM
agb-192	263	15	-	-	SYM
agb-192	263	16	54	54	NUM
agb-192	263	17	.	.	PUNCT
agb-192	264	1	doi	doi	NOUN
agb-192	264	2	:	:	PUNCT
agb-192	264	3	https://doi.org/10.5194/isprs-archives-xliv-m2-2020-51-2020	https://doi.org/10.5194/isprs-archives-xliv-m2-2020-51-2020	PROPN
agb-192	264	4	hughes	hughes	PROPN
agb-192	264	5	,	,	PUNCT
agb-192	264	6	d.	d.	PROPN
agb-192	264	7	,	,	PUNCT
agb-192	264	8	&	&	CCONJ
agb-192	264	9	salathé	salathé	PROPN
agb-192	264	10	,	,	PUNCT
agb-192	264	11	m.	m.	NOUN
agb-192	264	12	(	(	PUNCT
agb-192	264	13	2015	2015	NUM
agb-192	264	14	)	)	PUNCT
agb-192	264	15	.	.	PUNCT
agb-192	265	1	an	an	DET
agb-192	265	2	open	open	ADJ
agb-192	265	3	access	access	NOUN
agb-192	265	4	repository	repository	NOUN
agb-192	265	5	of	of	ADP
agb-192	265	6	images	image	NOUN
agb-192	265	7	on	on	ADP
agb-192	265	8	plant	plant	NOUN
agb-192	265	9	health	health	NOUN
agb-192	265	10	to	to	PART
agb-192	265	11	enable	enable	VERB
agb-192	265	12	the	the	DET
agb-192	265	13	development	development	NOUN
agb-192	265	14	of	of	ADP
agb-192	265	15	mobile	mobile	ADJ
agb-192	265	16	disease	disease	NOUN
agb-192	265	17	diagnostics	diagnostic	NOUN
agb-192	265	18	.	.	PUNCT
agb-192	266	1	arxiv	arxiv	PROPN
agb-192	266	2	preprint	preprint	VERB
agb-192	266	3	arxiv:1511.08060	arxiv:1511.08060	NOUN
agb-192	266	4	,	,	PUNCT
agb-192	266	5	1	1	NUM
agb-192	266	6	-	-	SYM
agb-192	266	7	13	13	NUM
agb-192	266	8	.	.	PUNCT
agb-192	267	1	doi	doi	NOUN
agb-192	267	2	:	:	PUNCT
agb-192	267	3	https://doi.org/10.48550/arxiv.1511.08060	https://doi.org/10.48550/arxiv.1511.08060	PROPN
agb-192	267	4	jiang	jiang	PROPN
agb-192	267	5	,	,	PUNCT
agb-192	267	6	p.	p.	PROPN
agb-192	267	7	,	,	PUNCT
agb-192	267	8	ergu	ergu	PROPN
agb-192	267	9	,	,	PUNCT
agb-192	267	10	d.	d.	PROPN
agb-192	267	11	,	,	PUNCT
agb-192	267	12	liu	liu	PROPN
agb-192	267	13	,	,	PUNCT
agb-192	267	14	f.	f.	PROPN
agb-192	267	15	,	,	PUNCT
agb-192	267	16	cai	cai	PROPN
agb-192	267	17	,	,	PUNCT
agb-192	267	18	y.	y.	PROPN
agb-192	267	19	,	,	PUNCT
agb-192	267	20	&	&	CCONJ
agb-192	267	21	ma	ma	PROPN
agb-192	267	22	,	,	PUNCT
agb-192	267	23	b.	b.	PROPN
agb-192	267	24	(	(	PUNCT
agb-192	267	25	2022	2022	NUM
agb-192	267	26	)	)	PUNCT
agb-192	267	27	.	.	PUNCT
agb-192	268	1	a	a	DET
agb-192	268	2	review	review	NOUN
agb-192	268	3	of	of	ADP
agb-192	268	4	yolo	yolo	ADJ
agb-192	268	5	algorithm	algorithm	NOUN
agb-192	268	6	developments	development	NOUN
agb-192	268	7	.	.	PUNCT
agb-192	269	1	procedia	procedia	PROPN
agb-192	269	2	computer	computer	NOUN
agb-192	269	3	science	science	NOUN
agb-192	269	4	,	,	PUNCT
agb-192	269	5	199	199	NUM
agb-192	269	6	,	,	PUNCT
agb-192	269	7	1066	1066	NUM
agb-192	269	8	-	-	SYM
agb-192	269	9	1073	1073	NUM
agb-192	269	10	.	.	PUNCT
agb-192	270	1	doi	doi	NOUN
agb-192	270	2	:	:	PUNCT
agb-192	270	3	https://doi.org/10.1016/j.procs.2022.01.135	https://doi.org/10.1016/j.procs.2022.01.135	PROPN
agb-192	270	4	li	li	PROPN
agb-192	270	5	,	,	PUNCT
agb-192	270	6	d.	d.	PROPN
agb-192	270	7	,	,	PUNCT
agb-192	270	8	ahmed	ahmed	PROPN
agb-192	270	9	,	,	PUNCT
agb-192	270	10	f.	f.	PROPN
agb-192	270	11	,	,	PUNCT
agb-192	270	12	wu	wu	PROPN
agb-192	270	13	,	,	PUNCT
agb-192	270	14	n.	n.	NOUN
agb-192	270	15	,	,	PUNCT
agb-192	270	16	&	&	CCONJ
agb-192	270	17	sethi	sethi	PROPN
agb-192	270	18	,	,	PUNCT
agb-192	270	19	a.	a.	NOUN
agb-192	270	20	i.	i.	PROPN
agb-192	270	21	(	(	PUNCT
agb-192	270	22	2022	2022	NUM
agb-192	270	23	)	)	PUNCT
agb-192	270	24	.	.	PUNCT
agb-192	271	1	yolo	yolo	PROPN
agb-192	271	2	-	-	PUNCT
agb-192	271	3	jd	jd	PROPN
agb-192	271	4	:	:	PUNCT
agb-192	271	5	a	a	DET
agb-192	271	6	deep	deep	ADJ
agb-192	271	7	learning	learning	NOUN
agb-192	271	8	network	network	NOUN
agb-192	271	9	for	for	ADP
agb-192	271	10	jute	jute	NOUN
agb-192	271	11	diseases	disease	NOUN
agb-192	271	12	and	and	CCONJ
agb-192	271	13	pests	pest	VERB
agb-192	271	14	detection	detection	NOUN
agb-192	271	15	from	from	ADP
agb-192	271	16	images	image	NOUN
agb-192	271	17	.	.	PUNCT
agb-192	272	1	plants	plant	NOUN
agb-192	272	2	,	,	PUNCT
agb-192	272	3	11(7	11(7	NUM
agb-192	272	4	)	)	PUNCT
agb-192	272	5	,	,	PUNCT
agb-192	272	6	937	937	X
agb-192	272	7	.	.	PUNCT
agb-192	273	1	doi	doi	NOUN
agb-192	273	2	:	:	PUNCT
agb-192	273	3	https://doi.org/10.3390/plants11070937	https://doi.org/10.3390/plants11070937	PROPN
agb-192	273	4	liu	liu	PROPN
agb-192	273	5	,	,	PUNCT
agb-192	273	6	j.	j.	PROPN
agb-192	273	7	,	,	PUNCT
agb-192	273	8	&	&	CCONJ
agb-192	273	9	wang	wang	PROPN
agb-192	273	10	,	,	PUNCT
agb-192	273	11	x.	x.	NOUN
agb-192	273	12	(	(	PUNCT
agb-192	273	13	2020	2020	NUM
agb-192	273	14	)	)	PUNCT
agb-192	273	15	.	.	PUNCT
agb-192	274	1	tomato	tomato	NOUN
agb-192	274	2	diseases	disease	NOUN
agb-192	274	3	and	and	CCONJ
agb-192	274	4	pests	pest	NOUN
agb-192	274	5	detection	detection	NOUN
agb-192	274	6	based	base	VERB
agb-192	274	7	on	on	ADP
agb-192	274	8	improved	improve	VERB
agb-192	274	9	yolo	yolo	ADJ
agb-192	274	10	v3	v3	PROPN
agb-192	274	11	convolutional	convolutional	ADJ
agb-192	274	12	neural	neural	ADJ
agb-192	274	13	network	network	NOUN
agb-192	274	14	.	.	PUNCT
agb-192	275	1	frontiers	frontier	NOUN
agb-192	275	2	in	in	ADP
agb-192	275	3	plant	plant	NOUN
agb-192	275	4	science	science	NOUN
agb-192	275	5	,	,	PUNCT
agb-192	275	6	11	11	NUM
agb-192	275	7	,	,	PUNCT
agb-192	275	8	898	898	NUM
agb-192	275	9	.	.	PUNCT
agb-192	276	1	doi	doi	NOUN
agb-192	276	2	:	:	PUNCT
agb-192	276	3	https://doi.org/10.3389/fpls.2020.00898	https://doi.org/10.3389/fpls.2020.00898	PROPN
agb-192	276	4	liu	liu	PROPN
agb-192	276	5	,	,	PUNCT
agb-192	276	6	j.	j.	PROPN
agb-192	276	7	,	,	PUNCT
agb-192	276	8	xiang	xiang	PROPN
agb-192	276	9	,	,	PUNCT
agb-192	276	10	j.	j.	PROPN
agb-192	276	11	,	,	PUNCT
agb-192	276	12	jin	jin	PROPN
agb-192	276	13	,	,	PUNCT
agb-192	276	14	y.	y.	PROPN
agb-192	276	15	,	,	PUNCT
agb-192	276	16	liu	liu	PROPN
agb-192	276	17	,	,	PUNCT
agb-192	276	18	r.	r.	PROPN
agb-192	276	19	,	,	PUNCT
agb-192	276	20	yan	yan	PROPN
agb-192	276	21	,	,	PUNCT
agb-192	276	22	j.	j.	PROPN
agb-192	276	23	,	,	PUNCT
agb-192	276	24	&	&	CCONJ
agb-192	276	25	wang	wang	PROPN
agb-192	276	26	,	,	PUNCT
agb-192	276	27	l.	l.	PROPN
agb-192	276	28	(	(	PUNCT
agb-192	276	29	2021	2021	NUM
agb-192	276	30	)	)	PUNCT
agb-192	276	31	.	.	PUNCT
agb-192	277	1	boost	boost	VERB
agb-192	277	2	precision	precision	NOUN
agb-192	277	3	agriculture	agriculture	NOUN
agb-192	277	4	with	with	ADP
agb-192	277	5	unmanned	unmanned	ADJ
agb-192	277	6	aerial	aerial	ADJ
agb-192	277	7	vehicle	vehicle	NOUN
agb-192	277	8	remote	remote	ADJ
agb-192	277	9	sensing	sensing	NOUN
agb-192	277	10	and	and	CCONJ
agb-192	277	11	edge	edge	NOUN
agb-192	277	12	intelligence	intelligence	NOUN
agb-192	277	13	:	:	PUNCT
agb-192	277	14	a	a	DET
agb-192	277	15	survey	survey	NOUN
agb-192	277	16	.	.	PUNCT
agb-192	278	1	remote	remote	ADJ
agb-192	278	2	sensing	sensing	NOUN
agb-192	278	3	,	,	PUNCT
agb-192	278	4	13(21	13(21	NUM
agb-192	278	5	)	)	PUNCT
agb-192	278	6	,	,	PUNCT
agb-192	278	7	4387	4387	NUM
agb-192	278	8	.	.	PUNCT
agb-192	279	1	doi	doi	NOUN
agb-192	279	2	:	:	PUNCT
agb-192	279	3	https://doi.org/10.3390/rs13214387	https://doi.org/10.3390/rs13214387	X
agb-192	279	4	liu	liu	PROPN
agb-192	279	5	,	,	PUNCT
agb-192	279	6	w.	w.	PROPN
agb-192	279	7	,	,	PUNCT
agb-192	279	8	anguelov	anguelov	PROPN
agb-192	279	9	,	,	PUNCT
agb-192	279	10	d.	d.	PROPN
agb-192	279	11	,	,	PUNCT
agb-192	279	12	erhan	erhan	PROPN
agb-192	279	13	,	,	PUNCT
agb-192	279	14	d.	d.	PROPN
agb-192	279	15	,	,	PUNCT
agb-192	279	16	szegedy	szegedy	PROPN
agb-192	279	17	,	,	PUNCT
agb-192	279	18	c.	c.	NOUN
agb-192	279	19	,	,	PUNCT
agb-192	279	20	reed	reed	PROPN
agb-192	279	21	,	,	PUNCT
agb-192	279	22	s.	s.	PROPN
agb-192	279	23	,	,	PUNCT
agb-192	279	24	fu	fu	PROPN
agb-192	279	25	,	,	PUNCT
agb-192	279	26	c.-y	c.-y	NOUN
agb-192	279	27	.	.	PUNCT
agb-192	279	28	,	,	PUNCT
agb-192	279	29	&	&	CCONJ
agb-192	279	30	berg	berg	PROPN
agb-192	279	31	,	,	PUNCT
agb-192	279	32	a.	a.	PROPN
agb-192	279	33	c.	c.	PROPN
agb-192	279	34	(	(	PUNCT
agb-192	279	35	2016	2016	NUM
agb-192	279	36	)	)	PUNCT
agb-192	279	37	.	.	PUNCT
agb-192	280	1	ssd	ssd	PROPN
agb-192	280	2	:	:	PUNCT
agb-192	280	3	single	single	ADJ
agb-192	280	4	shot	shot	NOUN
agb-192	280	5	multibox	multibox	NOUN
agb-192	280	6	detector	detector	NOUN
agb-192	280	7	.	.	PUNCT
agb-192	281	1	in	in	ADP
agb-192	281	2	b.	b.	PROPN
agb-192	281	3	leibe	leibe	PROPN
agb-192	281	4	,	,	PUNCT
agb-192	281	5	j.	j.	PROPN
agb-192	281	6	matas	matas	PROPN
agb-192	281	7	,	,	PUNCT
agb-192	281	8	n.	n.	NOUN
agb-192	281	9	sebe	sebe	NOUN
agb-192	281	10	,	,	PUNCT
agb-192	281	11	&	&	CCONJ
agb-192	281	12	m.	m.	PROPN
agb-192	281	13	welling	well	VERB
agb-192	281	14	(	(	PUNCT
agb-192	281	15	eds	ed	NOUN
agb-192	281	16	.	.	PUNCT
agb-192	281	17	)	)	PUNCT
agb-192	281	18	,	,	PUNCT
agb-192	281	19	computer	computer	NOUN
agb-192	281	20	vision	vision	NOUN
agb-192	281	21	–	–	PUNCT
agb-192	281	22	eccv	eccv	ADV
agb-192	281	23	2016	2016	NUM
agb-192	281	24	(	(	PUNCT
agb-192	281	25	pp	pp	ADJ
agb-192	281	26	.	.	PUNCT
agb-192	282	1	21	21	NUM
agb-192	282	2	-	-	SYM
agb-192	282	3	37	37	NUM
agb-192	282	4	)	)	PUNCT
agb-192	282	5	.	.	PUNCT
agb-192	283	1	springer	springer	NOUN
agb-192	283	2	international	international	ADJ
agb-192	283	3	publishing	publishing	NOUN
agb-192	283	4	.	.	PUNCT
agb-192	284	1	doi	doi	NOUN
agb-192	284	2	:	:	PUNCT
agb-192	284	3	https://doi.org/10.1007/978-3-319-46448-0_2	https://doi.org/10.1007/978-3-319-46448-0_2	PROPN
agb-192	284	4	lu	lu	PROPN
agb-192	284	5	,	,	PUNCT
agb-192	284	6	y.	y.	PROPN
agb-192	284	7	,	,	PUNCT
agb-192	284	8	&	&	CCONJ
agb-192	284	9	young	young	PROPN
agb-192	284	10	,	,	PUNCT
agb-192	284	11	s.	s.	PROPN
agb-192	284	12	(	(	PUNCT
agb-192	284	13	2020	2020	NUM
agb-192	284	14	)	)	PUNCT
agb-192	284	15	.	.	PUNCT
agb-192	285	1	a	a	DET
agb-192	285	2	survey	survey	NOUN
agb-192	285	3	of	of	ADP
agb-192	285	4	public	public	ADJ
agb-192	285	5	datasets	dataset	NOUN
agb-192	285	6	for	for	ADP
agb-192	285	7	computer	computer	NOUN
agb-192	285	8	vision	vision	NOUN
agb-192	285	9	tasks	task	NOUN
agb-192	285	10	in	in	ADP
agb-192	285	11	precision	precision	NOUN
agb-192	285	12	agriculture	agriculture	NOUN
agb-192	285	13	.	.	PUNCT
agb-192	286	1	computers	computer	NOUN
agb-192	286	2	and	and	CCONJ
agb-192	286	3	electronics	electronic	NOUN
agb-192	286	4	in	in	ADP
agb-192	286	5	agriculture	agriculture	NOUN
agb-192	286	6	,	,	PUNCT
agb-192	286	7	178	178	NUM
agb-192	286	8	,	,	PUNCT
agb-192	286	9	105760	105760	NUM
agb-192	286	10	.	.	PUNCT
agb-192	287	1	doi	doi	NOUN
agb-192	287	2	:	:	PUNCT
agb-192	287	3	https://doi.org/10.1016/j.compag.2020.105760	https://doi.org/10.1016/j.compag.2020.105760	PROPN
agb-192	287	4	mohandas	mohandas	PROPN
agb-192	287	5	,	,	PUNCT
agb-192	287	6	a.	a.	PROPN
agb-192	287	7	,	,	PUNCT
agb-192	287	8	anjali	anjali	ADJ
agb-192	287	9	,	,	PUNCT
agb-192	287	10	m.	m.	NOUN
agb-192	287	11	,	,	PUNCT
agb-192	287	12	&	&	CCONJ
agb-192	287	13	varma	varma	PROPN
agb-192	287	14	,	,	PUNCT
agb-192	287	15	u.	u.	PROPN
agb-192	287	16	r.	r.	PROPN
agb-192	287	17	(	(	PUNCT
agb-192	287	18	2021	2021	NUM
agb-192	287	19	)	)	PUNCT
agb-192	287	20	.	.	PUNCT
agb-192	288	1	real	real	ADJ
agb-192	288	2	-	-	PUNCT
agb-192	288	3	time	time	NOUN
agb-192	288	4	detectionand	detectionand	NOUN
agb-192	288	5	identification	identification	NOUN
agb-192	288	6	of	of	ADP
agb-192	288	7	plant	plant	NOUN
agb-192	288	8	leaf	leaf	NOUN
agb-192	288	9	diseases	disease	NOUN
agb-192	288	10	using	use	VERB
agb-192	288	11	yolov4	yolov4	NOUN
agb-192	288	12	-	-	PUNCT
agb-192	288	13	tiny	tiny	ADJ
agb-192	288	14	.	.	PUNCT
agb-192	289	1	in	in	ADP
agb-192	289	2	2021	2021	NUM
agb-192	289	3	12th	12th	ADJ
agb-192	289	4	international	international	ADJ
agb-192	289	5	conference	conference	NOUN
agb-192	289	6	on	on	ADP
agb-192	289	7	computing	compute	VERB
agb-192	289	8	communication	communication	NOUN
agb-192	289	9	and	and	CCONJ
agb-192	289	10	networking	networking	NOUN
agb-192	289	11	technologies	technology	NOUN
agb-192	289	12	(	(	PUNCT
agb-192	289	13	icccnt	icccnt	ADJ
agb-192	289	14	)	)	PUNCT
agb-192	289	15	(	(	PUNCT
agb-192	289	16	pp	pp	X
agb-192	289	17	.	.	PUNCT
agb-192	290	1	1	1	NUM
agb-192	290	2	-	-	SYM
agb-192	290	3	5	5	NUM
agb-192	290	4	)	)	PUNCT
agb-192	290	5	.	.	PUNCT
agb-192	291	1	ieee	ieee	PROPN
agb-192	291	2	.	.	PUNCT
agb-192	292	1	doi	doi	PROPN
agb-192	292	2	:	:	PUNCT
agb-192	292	3	https://doi.org/10.1109/icccnt51525.2021.9579783	https://doi.org/10.1109/icccnt51525.2021.9579783	PROPN
agb-192	292	4	mohanty	mohanty	PROPN
agb-192	292	5	,	,	PUNCT
agb-192	292	6	s.	s.	PROPN
agb-192	292	7	p.	p.	PROPN
agb-192	292	8	,	,	PUNCT
agb-192	292	9	hughes	hughes	PROPN
agb-192	292	10	,	,	PUNCT
agb-192	292	11	d.	d.	PROPN
agb-192	292	12	p.	p.	PROPN
agb-192	292	13	,	,	PUNCT
agb-192	292	14	&	&	CCONJ
agb-192	292	15	salathé	salathé	PROPN
agb-192	292	16	,	,	PUNCT
agb-192	292	17	m.	m.	NOUN
agb-192	292	18	(	(	PUNCT
agb-192	292	19	2016	2016	NUM
agb-192	292	20	)	)	PUNCT
agb-192	292	21	.	.	PUNCT
agb-192	293	1	using	use	VERB
agb-192	293	2	deep	deep	ADJ
agb-192	293	3	learning	learning	NOUN
agb-192	293	4	for	for	ADP
agb-192	293	5	image	image	NOUN
agb-192	293	6	-	-	PUNCT
agb-192	293	7	based	base	VERB
agb-192	293	8	plant	plant	NOUN
agb-192	293	9	disease	disease	NOUN
agb-192	293	10	detection	detection	NOUN
agb-192	293	11	.	.	PUNCT
agb-192	294	1	frontiers	frontier	NOUN
agb-192	294	2	in	in	ADP
agb-192	294	3	plant	plant	NOUN
agb-192	294	4	science	science	NOUN
agb-192	294	5	,	,	PUNCT
agb-192	294	6	7	7	NUM
agb-192	294	7	,	,	PUNCT
agb-192	294	8	1419	1419	NUM
agb-192	294	9	.	.	PUNCT
agb-192	295	1	doi	doi	NOUN
agb-192	295	2	:	:	PUNCT
agb-192	295	3	https://doi.org/10.3389/fpls.2016.01419	https://doi.org/10.3389/fpls.2016.01419	PROPN
agb-192	295	4	nguyen	nguyen	NOUN
agb-192	295	5	,	,	PUNCT
agb-192	295	6	t.-h	t.-h	PROPN
agb-192	295	7	.	.	PUNCT
agb-192	295	8	,	,	PUNCT
agb-192	295	9	sahin	sahin	PROPN
agb-192	295	10	,	,	PUNCT
agb-192	295	11	o.	o.	PROPN
agb-192	295	12	,	,	PUNCT
agb-192	295	13	&	&	CCONJ
agb-192	295	14	howes	howes	PROPN
agb-192	295	15	,	,	PUNCT
agb-192	295	16	m.	m.	NOUN
agb-192	295	17	(	(	PUNCT
agb-192	295	18	2021	2021	NUM
agb-192	295	19	)	)	PUNCT
agb-192	295	20	.	.	PUNCT
agb-192	296	1	climate	climate	NOUN
agb-192	296	2	change	change	NOUN
agb-192	296	3	adaptation	adaptation	NOUN
agb-192	296	4	influences	influence	NOUN
agb-192	296	5	and	and	CCONJ
agb-192	296	6	barriers	barrier	NOUN
agb-192	296	7	impacting	impact	VERB
agb-192	296	8	the	the	DET
agb-192	296	9	asian	asian	ADJ
agb-192	296	10	agricultural	agricultural	ADJ
agb-192	296	11	industry	industry	NOUN
agb-192	296	12	.	.	PUNCT
agb-192	297	1	sustainability	sustainability	NOUN
agb-192	297	2	,	,	PUNCT
agb-192	297	3	13(13	13(13	NUM
agb-192	297	4	)	)	PUNCT
agb-192	297	5	,	,	PUNCT
agb-192	297	6	7346	7346	NUM
agb-192	297	7	.	.	PUNCT
agb-192	298	1	doi	doi	NOUN
agb-192	298	2	:	:	PUNCT
agb-192	298	3	https://doi.org/10.3390/su13137346	https://doi.org/10.3390/su13137346	PROPN
agb-192	298	4	noguchi	noguchi	PROPN
agb-192	298	5	,	,	PUNCT
agb-192	298	6	n.	n.	PROPN
agb-192	298	7	,	,	PUNCT
agb-192	298	8	reid	reid	PROPN
agb-192	298	9	,	,	PUNCT
agb-192	298	10	j.	j.	PROPN
agb-192	298	11	f.	f.	PROPN
agb-192	298	12	,	,	PUNCT
agb-192	298	13	zhang	zhang	PROPN
agb-192	298	14	,	,	PUNCT
agb-192	298	15	q.	q.	PROPN
agb-192	298	16	,	,	PUNCT
agb-192	298	17	&	&	CCONJ
agb-192	298	18	tian	tian	PROPN
agb-192	298	19	,	,	PUNCT
agb-192	298	20	l.	l.	PROPN
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agb-192	302	32	)	)	PUNCT
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agb-192	303	27	.	.	PUNCT
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agb-192	304	8	,	,	PUNCT
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agb-192	304	10	-	-	SYM
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agb-192	304	12	.	.	PUNCT
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agb-192	305	10	v.	v.	PROPN
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agb-192	305	13	,	,	PUNCT
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agb-192	305	16	,	,	PUNCT
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agb-192	305	22	(	(	PUNCT
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agb-192	305	24	)	)	PUNCT
agb-192	305	25	.	.	PUNCT
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agb-192	307	7	,	,	PUNCT
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agb-192	307	9	.	.	PUNCT
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agb-192	308	7	,	,	PUNCT
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agb-192	308	14	a.	a.	PROPN
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agb-192	308	20	,	,	PUNCT
agb-192	308	21	&	&	CCONJ
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agb-192	308	25	(	(	PUNCT
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agb-192	308	27	)	)	PUNCT
agb-192	308	28	.	.	PUNCT
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agb-192	309	3	:	:	PUNCT
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agb-192	310	1	in	in	ADP
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agb-192	310	10	(	(	PUNCT
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agb-192	310	12	)	)	PUNCT
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agb-192	310	14	pp	pp	ADP
agb-192	310	15	.	.	PUNCT
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agb-192	310	17	-	-	SYM
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agb-192	310	20	.	.	PUNCT
agb-192	311	1	ieee	ieee	PROPN
agb-192	311	2	.	.	PUNCT
agb-192	312	1	doi	doi	PROPN
agb-192	312	2	:	:	PUNCT
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agb-192	312	10	,	,	PUNCT
agb-192	312	11	a.	a.	NOUN
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agb-192	312	16	,	,	PUNCT
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agb-192	312	18	(	(	PUNCT
agb-192	312	19	2021	2021	NUM
agb-192	312	20	)	)	PUNCT
agb-192	312	21	.	.	PUNCT
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agb-192	314	17	.	.	PUNCT
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agb-192	315	2	-	-	SYM
agb-192	315	3	2930	2930	NUM
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agb-192	315	5	.	.	PUNCT
agb-192	316	1	ieee	ieee	PROPN
agb-192	316	2	.	.	PUNCT
agb-192	317	1	doi	doi	PROPN
agb-192	317	2	:	:	PUNCT
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agb-192	317	9	,	,	PUNCT
agb-192	317	10	k.	k.	PROPN
agb-192	317	11	,	,	PUNCT
agb-192	317	12	girshick	girshick	PROPN
agb-192	317	13	,	,	PUNCT
agb-192	317	14	r.	r.	PROPN
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agb-192	317	16	&	&	CCONJ
agb-192	317	17	sun	sun	PROPN
agb-192	317	18	,	,	PUNCT
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agb-192	317	20	(	(	PUNCT
agb-192	317	21	2015	2015	NUM
agb-192	317	22	)	)	PUNCT
agb-192	317	23	.	.	PUNCT
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agb-192	318	3	:	:	PUNCT
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agb-192	318	6	-	-	PUNCT
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agb-192	318	14	.	.	PUNCT
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agb-192	319	7	,	,	PUNCT
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agb-192	319	9	,	,	PUNCT
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agb-192	319	11	-	-	SYM
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agb-192	319	13	.	.	PUNCT
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agb-192	319	15	:	:	PUNCT
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agb-192	319	28	.	.	PUNCT
agb-192	320	1	a	a	DET
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agb-192	320	16	mini	mini	ADJ
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agb-192	320	18	.	.	PUNCT
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agb-192	321	7	vol	vol	NOUN
agb-192	321	8	.	.	PROPN
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agb-192	321	12	.	.	PUNCT
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agb-192	322	2	-	-	SYM
agb-192	322	3	100	100	NUM
agb-192	322	4	)	)	PUNCT
agb-192	322	5	.	.	PUNCT
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agb-192	323	2	.	.	PUNCT
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agb-192	324	2	:	:	PUNCT
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agb-192	324	7	,	,	PUNCT
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agb-192	324	11	,	,	PUNCT
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agb-192	324	13	-	-	PUNCT
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agb-192	324	25	s.	s.	PROPN
agb-192	324	26	a.	a.	PROPN
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agb-192	324	29	&	&	CCONJ
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agb-192	324	33	(	(	PUNCT
agb-192	324	34	2019	2019	NUM
agb-192	324	35	)	)	PUNCT
agb-192	324	36	.	.	PUNCT
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agb-192	325	6	:	:	PUNCT
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agb-192	325	11	.	.	PUNCT
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agb-192	326	2	,	,	PUNCT
agb-192	326	3	19(17	19(17	NUM
agb-192	326	4	)	)	PUNCT
agb-192	326	5	,	,	PUNCT
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agb-192	326	7	.	.	PUNCT
agb-192	327	1	doi	doi	NOUN
agb-192	327	2	:	:	PUNCT
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agb-192	327	4	sharanya	sharanya	PROPN
agb-192	327	5	,	,	PUNCT
agb-192	327	6	s.	s.	PROPN
agb-192	327	7	,	,	PUNCT
agb-192	327	8	venkataraman	venkataraman	PROPN
agb-192	327	9	,	,	PUNCT
agb-192	327	10	r.	r.	PROPN
agb-192	327	11	,	,	PUNCT
agb-192	327	12	&	&	CCONJ
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agb-192	327	14	,	,	PUNCT
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agb-192	327	16	(	(	PUNCT
agb-192	327	17	2021	2021	NUM
agb-192	327	18	)	)	PUNCT
agb-192	327	19	.	.	PUNCT
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agb-192	328	6	of	of	ADP
agb-192	328	7	bearings	bearing	NOUN
agb-192	328	8	using	use	VERB
agb-192	328	9	reduced	reduced	ADJ
agb-192	328	10	affinity	affinity	NOUN
agb-192	328	11	propagated	propagate	VERB
agb-192	328	12	clustering	clustering	NOUN
agb-192	328	13	.	.	PUNCT
agb-192	329	1	journal	journal	NOUN
agb-192	329	2	of	of	ADP
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agb-192	329	4	science	science	NOUN
agb-192	329	5	and	and	CCONJ
agb-192	329	6	technology	technology	NOUN
agb-192	329	7	,	,	PUNCT
agb-192	329	8	16(5	16(5	NUM
agb-192	329	9	)	)	PUNCT
agb-192	329	10	,	,	PUNCT
agb-192	329	11	3737	3737	NUM
agb-192	329	12	-	-	SYM
agb-192	329	13	3756	3756	NUM
agb-192	329	14	.	.	PUNCT
agb-192	330	1	retrieved	retrieve	VERB
agb-192	330	2	from	from	ADP
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agb-192	330	7	,	,	PUNCT
agb-192	330	8	m.	m.	NOUN
agb-192	330	9	,	,	PUNCT
agb-192	330	10	&	&	CCONJ
agb-192	330	11	sumbwanyambe	sumbwanyambe	NOUN
agb-192	330	12	,	,	PUNCT
agb-192	330	13	m.	m.	NOUN
agb-192	330	14	(	(	PUNCT
agb-192	330	15	2019	2019	NUM
agb-192	330	16	)	)	PUNCT
agb-192	330	17	.	.	PUNCT
agb-192	331	1	a	a	DET
agb-192	331	2	computational	computational	ADJ
agb-192	331	3	procedure	procedure	NOUN
agb-192	331	4	for	for	ADP
agb-192	331	5	the	the	DET
agb-192	331	6	recognition	recognition	NOUN
agb-192	331	7	and	and	CCONJ
agb-192	331	8	classification	classification	NOUN
agb-192	331	9	of	of	ADP
agb-192	331	10	maize	maize	NOUN
agb-192	331	11	leaf	leaf	NOUN
agb-192	331	12	diseases	disease	NOUN
agb-192	331	13	out	out	ADP
agb-192	331	14	of	of	ADP
agb-192	331	15	healthy	healthy	ADJ
agb-192	331	16	leaves	leave	NOUN
agb-192	331	17	using	use	VERB
agb-192	331	18	convolutional	convolutional	ADJ
agb-192	331	19	neural	neural	ADJ
agb-192	331	20	networks	network	NOUN
agb-192	331	21	.	.	PUNCT
agb-192	332	1	agriengineering	agriengineering	NOUN
agb-192	332	2	,	,	PUNCT
agb-192	332	3	1(1	1(1	NUM
agb-192	332	4	)	)	PUNCT
agb-192	332	5	,	,	PUNCT
agb-192	332	6	119	119	NUM
agb-192	332	7	-	-	SYM
agb-192	332	8	131	131	NUM
agb-192	332	9	.	.	PUNCT
agb-192	333	1	doi	doi	PROPN
agb-192	333	2	:	:	PUNCT
agb-192	333	3	https://doi.org/10.3390/agriengineering1010009	https://doi.org/10.3390/agriengineering1010009	PROPN
agb-192	333	4	siedow	siedow	PROPN
agb-192	333	5	,	,	PUNCT
agb-192	333	6	j.	j.	PROPN
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agb-192	333	8	(	(	PUNCT
agb-192	333	9	2001	2001	NUM
agb-192	333	10	)	)	PUNCT
agb-192	333	11	.	.	PUNCT
agb-192	334	1	feeding	feed	VERB
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agb-192	334	5	.	.	PUNCT
agb-192	335	1	three	three	NUM
agb-192	335	2	views	view	NOUN
agb-192	335	3	.	.	PUNCT
agb-192	336	1	plant	plant	NOUN
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agb-192	336	3	,	,	PUNCT
agb-192	336	4	126(1	126(1	NUM
agb-192	336	5	)	)	PUNCT
agb-192	336	6	,	,	PUNCT
agb-192	336	7	20	20	NUM
agb-192	336	8	-	-	SYM
agb-192	336	9	22	22	NUM
agb-192	336	10	.	.	PUNCT
agb-192	337	1	doi	doi	NOUN
agb-192	337	2	:	:	PUNCT
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agb-192	337	4	singh	singh	PROPN
agb-192	337	5	,	,	PUNCT
agb-192	337	6	v.	v.	ADV
agb-192	337	7	,	,	PUNCT
agb-192	337	8	&	&	CCONJ
agb-192	337	9	misra	misra	PROPN
agb-192	337	10	,	,	PUNCT
agb-192	337	11	a.	a.	PROPN
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agb-192	337	13	(	(	PUNCT
agb-192	337	14	2017	2017	NUM
agb-192	337	15	)	)	PUNCT
agb-192	337	16	.	.	PUNCT
agb-192	338	1	detection	detection	NOUN
agb-192	338	2	of	of	ADP
agb-192	338	3	plant	plant	NOUN
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agb-192	338	5	diseases	disease	NOUN
agb-192	338	6	using	use	VERB
agb-192	338	7	image	image	NOUN
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agb-192	338	9	and	and	CCONJ
agb-192	338	10	soft	soft	ADJ
agb-192	338	11	computing	computing	NOUN
agb-192	338	12	techniques	technique	NOUN
agb-192	338	13	.	.	PUNCT
agb-192	339	1	information	information	NOUN
agb-192	339	2	processing	processing	NOUN
agb-192	339	3	in	in	ADP
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agb-192	339	5	,	,	PUNCT
agb-192	339	6	4(1	4(1	NOUN
agb-192	339	7	)	)	PUNCT
agb-192	339	8	,	,	PUNCT
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agb-192	339	10	-	-	SYM
agb-192	339	11	49	49	NUM
agb-192	339	12	.	.	PUNCT
agb-192	340	1	doi	doi	NOUN
agb-192	340	2	:	:	PUNCT
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agb-192	340	5	,	,	PUNCT
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agb-192	340	7	,	,	PUNCT
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agb-192	340	9	,	,	PUNCT
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agb-192	340	11	,	,	PUNCT
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agb-192	340	13	,	,	PUNCT
agb-192	340	14	a.	a.	NOUN
agb-192	340	15	,	,	PUNCT
agb-192	340	16	culibrk	culibrk	PROPN
agb-192	340	17	,	,	PUNCT
agb-192	340	18	d.	d.	PROPN
agb-192	340	19	,	,	PUNCT
agb-192	340	20	&	&	CCONJ
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agb-192	340	22	,	,	PUNCT
agb-192	340	23	d.	d.	PROPN
agb-192	340	24	(	(	PUNCT
agb-192	340	25	2016	2016	NUM
agb-192	340	26	)	)	PUNCT
agb-192	340	27	.	.	PUNCT
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agb-192	341	2	neural	neural	ADJ
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agb-192	341	5	recognition	recognition	NOUN
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agb-192	341	7	plant	plant	NOUN
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agb-192	341	9	by	by	ADP
agb-192	341	10	leaf	leaf	NOUN
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agb-192	341	13	.	.	PUNCT
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agb-192	342	3	and	and	CCONJ
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agb-192	342	5	,	,	PUNCT
agb-192	342	6	2016	2016	NUM
agb-192	342	7	.	.	PUNCT
agb-192	343	1	doi	doi	NOUN
agb-192	343	2	:	:	PUNCT
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agb-192	343	5	,	,	PUNCT
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agb-192	343	7	,	,	PUNCT
agb-192	343	8	chatterjee	chatterjee	PROPN
agb-192	343	9	,	,	PUNCT
agb-192	343	10	j.	j.	PROPN
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agb-192	343	12	,	,	PUNCT
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agb-192	343	14	,	,	PUNCT
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agb-192	343	17	&	&	CCONJ
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agb-192	343	22	(	(	PUNCT
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agb-192	343	24	)	)	PUNCT
agb-192	343	25	.	.	PUNCT
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agb-192	344	10	leaf	leaf	NOUN
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agb-192	344	13	.	.	PUNCT
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agb-192	345	2	and	and	CCONJ
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agb-192	345	4	,	,	PUNCT
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agb-192	345	6	,	,	PUNCT
agb-192	345	7	103615	103615	NUM
agb-192	345	8	.	.	PUNCT
agb-192	346	1	doi	doi	NOUN
agb-192	346	2	:	:	PUNCT
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agb-192	346	5	,	,	PUNCT
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agb-192	346	8	,	,	PUNCT
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agb-192	346	10	,	,	PUNCT
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agb-192	346	12	,	,	PUNCT
agb-192	346	13	&	&	CCONJ
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agb-192	346	15	,	,	PUNCT
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agb-192	346	17	.	.	PUNCT
agb-192	347	1	m.	m.	NOUN
agb-192	347	2	(	(	PUNCT
agb-192	347	3	2022	2022	NUM
agb-192	347	4	)	)	PUNCT
agb-192	347	5	.	.	PUNCT
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agb-192	348	2	:	:	PUNCT
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agb-192	348	5	-	-	PUNCT
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agb-192	348	7	-	-	PUNCT
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agb-192	348	12	-	-	PUNCT
agb-192	348	13	of	of	ADP
agb-192	348	14	-	-	PUNCT
agb-192	348	15	the	the	DET
agb-192	348	16	-	-	PUNCT
agb-192	348	17	art	art	NOUN
agb-192	348	18	for	for	ADP
agb-192	348	19	real	real	ADJ
agb-192	348	20	-	-	PUNCT
agb-192	348	21	time	time	NOUN
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agb-192	348	24	.	.	PUNCT
agb-192	349	1	in	in	ADP
agb-192	349	2	proceedings	proceeding	NOUN
agb-192	349	3	of	of	ADP
agb-192	349	4	the	the	DET
agb-192	349	5	ieee	ieee	NOUN
agb-192	349	6	/	/	SYM
agb-192	349	7	cvf	cvf	NOUN
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agb-192	349	9	on	on	ADP
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agb-192	349	12	and	and	CCONJ
agb-192	349	13	pattern	pattern	NOUN
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agb-192	349	15	(	(	PUNCT
agb-192	349	16	cvpr	cvpr	NOUN
agb-192	349	17	)	)	PUNCT
agb-192	349	18	(	(	PUNCT
agb-192	349	19	pp	pp	ADJ
agb-192	349	20	.	.	PUNCT
agb-192	349	21	7464	7464	NUM
agb-192	349	22	-	-	SYM
agb-192	349	23	7475	7475	NUM
agb-192	349	24	)	)	PUNCT
agb-192	349	25	.	.	PUNCT
agb-192	350	1	doi	doi	NOUN
agb-192	350	2	:	:	PUNCT
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agb-192	350	5	,	,	PUNCT
agb-192	350	6	y.	y.	PROPN
agb-192	350	7	,	,	PUNCT
agb-192	350	8	chen	chen	PROPN
agb-192	350	9	,	,	PUNCT
agb-192	350	10	l.	l.	PROPN
agb-192	350	11	,	,	PUNCT
agb-192	350	12	wu	wu	PROPN
agb-192	350	13	,	,	PUNCT
agb-192	350	14	h.	h.	PROPN
agb-192	350	15	,	,	PUNCT
agb-192	350	16	&	&	CCONJ
agb-192	350	17	li	li	PROPN
agb-192	350	18	,	,	PUNCT
agb-192	350	19	l.	l.	PROPN
agb-192	350	20	(	(	PUNCT
agb-192	350	21	2022	2022	NUM
agb-192	350	22	)	)	PUNCT
agb-192	350	23	.	.	PUNCT
agb-192	351	1	advanced	advanced	ADJ
agb-192	351	2	agricultural	agricultural	ADJ
agb-192	351	3	disease	disease	NOUN
agb-192	351	4	image	image	NOUN
agb-192	351	5	recognition	recognition	NOUN
agb-192	351	6	technologies	technology	NOUN
agb-192	351	7	:	:	PUNCT
agb-192	351	8	a	a	DET
agb-192	351	9	review	review	NOUN
agb-192	351	10	.	.	PUNCT
agb-192	352	1	information	information	NOUN
agb-192	352	2	processing	processing	NOUN
agb-192	352	3	in	in	ADP
agb-192	352	4	agriculture	agriculture	NOUN
agb-192	352	5	,	,	PUNCT
agb-192	352	6	9(1	9(1	NUM
agb-192	352	7	)	)	PUNCT
agb-192	352	8	,	,	PUNCT
agb-192	352	9	48	48	NUM
agb-192	352	10	-	-	SYM
agb-192	352	11	59	59	NUM
agb-192	352	12	.	.	PUNCT
agb-192	353	1	doi	doi	NOUN
agb-192	353	2	:	:	PUNCT
agb-192	353	3	https://doi.org/10.1016/j.inpa.2021.01.003	https://doi.org/10.1016/j.inpa.2021.01.003	NUM
agb-192	353	4	https://doi.org/10.1016/j.compag.2018.08.001	https://doi.org/10.1016/j.compag.2018.08.001	NOUN
agb-192	353	5	https://doi.org/10.1016/j.rse.2019.111253	https://doi.org/10.1016/j.rse.2019.111253	PROPN
agb-192	354	1	https://doi.org/10.1109/iccsp48568.2020.9182146	https://doi.org/10.1109/iccsp48568.2020.9182146	PROPN
agb-192	354	2	https://doi.org/10.1109/cvprw53098.2021.00327	https://doi.org/10.1109/cvprw53098.2021.00327	NOUN
agb-192	355	1	https://doi.org/10.1109/tpami.2016.2577031	https://doi.org/10.1109/tpami.2016.2577031	PROPN
agb-192	355	2	https://doi.org/10.1117/12.2618137	https://doi.org/10.1117/12.2618137	NOUN
agb-192	355	3	https://doi.org/10.3390/s19173796	https://doi.org/10.3390/s19173796	SYM
agb-192	355	4	https://jestec.taylors.edu.my/vol%2016%20issue%205%20october%202021/16_5_09.pdf	https://jestec.taylors.edu.my/vol%2016%20issue%205%20october%202021/16_5_09.pdf	NOUN
agb-192	355	5	https://jestec.taylors.edu.my/vol%2016%20issue%205%20october%202021/16_5_09.pdf	https://jestec.taylors.edu.my/vol%2016%20issue%205%20october%202021/16_5_09.pdf	NOUN
agb-192	355	6	https://doi.org/10.3390/agriengineering1010009	https://doi.org/10.3390/agriengineering1010009	PROPN
agb-192	355	7	https://doi.org/10.1104/pp.126.1.20	https://doi.org/10.1104/pp.126.1.20	PROPN
agb-192	355	8	https://doi.org/10.1016/j.inpa.2016.10.005	https://doi.org/10.1016/j.inpa.2016.10.005	PROPN
agb-192	355	9	https://doi.org/10.1155/2016/3289801	https://doi.org/10.1155/2016/3289801	PROPN
agb-192	355	10	https://doi.org/10.1016/j.micpro.2020.103615	https://doi.org/10.1016/j.micpro.2020.103615	PROPN
agb-192	355	11	https://doi.org/10.48550/arxiv.2207.02696	https://doi.org/10.48550/arxiv.2207.02696	PROPN
agb-192	355	12	https://doi.org/10.1016/j.inpa.2021.01.003	https://doi.org/10.1016/j.inpa.2021.01.003	NOUN