id	sid	tid	token	lemma	pos
ajst-9125	1	1	academic	academic	ADJ
ajst-9125	1	2	journal	journal	NOUN
ajst-9125	1	3	of	of	ADP
ajst-9125	1	4	science	science	NOUN
ajst-9125	1	5	and	and	CCONJ
ajst-9125	1	6	technology	technology	NOUN
ajst-9125	1	7	issn	issn	NOUN
ajst-9125	1	8	:	:	PUNCT
ajst-9125	1	9	2771	2771	NUM
ajst-9125	1	10	-	-	SYM
ajst-9125	1	11	3032	3032	NUM
ajst-9125	1	12	|	|	NOUN
ajst-9125	1	13	vol	vol	NOUN
ajst-9125	1	14	.	.	PROPN
ajst-9125	2	1	6	6	NUM
ajst-9125	2	2	,	,	PUNCT
ajst-9125	2	3	no	no	INTJ
ajst-9125	2	4	.	.	NOUN
ajst-9125	2	5	1	1	NUM
ajst-9125	2	6	,	,	PUNCT
ajst-9125	2	7	2023	2023	NUM
ajst-9125	2	8	195	195	NUM
ajst-9125	2	9	fruit	fruit	NOUN
ajst-9125	2	10	freshness	freshness	NOUN
ajst-9125	2	11	detection	detection	NOUN
ajst-9125	2	12	based	base	VERB
ajst-9125	2	13	on	on	ADP
ajst-9125	2	14	yolov8	yolov8	NOUN
ajst-9125	2	15	and	and	CCONJ
ajst-9125	2	16	se	se	ADJ
ajst-9125	2	17	attention	attention	NOUN
ajst-9125	2	18	mechanism	mechanism	NOUN
ajst-9125	2	19	zihe	zihe	PROPN
ajst-9125	2	20	wei	wei	PROPN
ajst-9125	2	21	*	*	PROPN
ajst-9125	2	22	,	,	PUNCT
ajst-9125	2	23	miaosen	miaosen	PROPN
ajst-9125	2	24	chang	chang	PROPN
ajst-9125	2	25	,	,	PUNCT
ajst-9125	2	26	yipeng	yipeng	PROPN
ajst-9125	2	27	zhong	zhong	PROPN
ajst-9125	2	28	university	university	PROPN
ajst-9125	2	29	of	of	ADP
ajst-9125	2	30	science	science	NOUN
ajst-9125	2	31	and	and	CCONJ
ajst-9125	2	32	technology	technology	NOUN
ajst-9125	2	33	liaoning	liaoning	NOUN
ajst-9125	2	34	,	,	PUNCT
ajst-9125	2	35	anshan	anshan	PROPN
ajst-9125	2	36	114051	114051	NUM
ajst-9125	2	37	,	,	PUNCT
ajst-9125	2	38	china	china	PROPN
ajst-9125	2	39	*	*	PUNCT
ajst-9125	2	40	corresponding	correspond	VERB
ajst-9125	2	41	author	author	NOUN
ajst-9125	2	42	abstract	abstract	NOUN
ajst-9125	2	43	:	:	PUNCT
ajst-9125	2	44	fruit	fruit	NOUN
ajst-9125	2	45	is	be	AUX
ajst-9125	2	46	a	a	DET
ajst-9125	2	47	crucial	crucial	ADJ
ajst-9125	2	48	component	component	NOUN
ajst-9125	2	49	of	of	ADP
ajst-9125	2	50	daily	daily	ADJ
ajst-9125	2	51	diets	diet	NOUN
ajst-9125	2	52	,	,	PUNCT
ajst-9125	2	53	emphasizing	emphasize	VERB
ajst-9125	2	54	the	the	DET
ajst-9125	2	55	importance	importance	NOUN
ajst-9125	2	56	of	of	ADP
ajst-9125	2	57	ensuring	ensure	VERB
ajst-9125	2	58	its	its	PRON
ajst-9125	2	59	freshness	freshness	NOUN
ajst-9125	2	60	.	.	PUNCT
ajst-9125	3	1	our	our	PRON
ajst-9125	3	2	proposed	propose	VERB
ajst-9125	3	3	method	method	NOUN
ajst-9125	3	4	utilizes	utilize	VERB
ajst-9125	3	5	yolov8	yolov8	NOUN
ajst-9125	3	6	and	and	CCONJ
ajst-9125	3	7	se	se	ADJ
ajst-9125	3	8	attention	attention	NOUN
ajst-9125	3	9	mechanism	mechanism	NOUN
ajst-9125	3	10	for	for	ADP
ajst-9125	3	11	detecting	detect	VERB
ajst-9125	3	12	the	the	DET
ajst-9125	3	13	freshness	freshness	NOUN
ajst-9125	3	14	of	of	ADP
ajst-9125	3	15	fruits	fruit	NOUN
ajst-9125	3	16	.	.	PUNCT
ajst-9125	4	1	our	our	PRON
ajst-9125	4	2	method	method	NOUN
ajst-9125	4	3	balances	balance	NOUN
ajst-9125	4	4	accuracy	accuracy	NOUN
ajst-9125	4	5	and	and	CCONJ
ajst-9125	4	6	real	real	ADJ
ajst-9125	4	7	-	-	PUNCT
ajst-9125	4	8	time	time	NOUN
ajst-9125	4	9	performance	performance	NOUN
ajst-9125	4	10	while	while	SCONJ
ajst-9125	4	11	detecting	detect	VERB
ajst-9125	4	12	the	the	DET
ajst-9125	4	13	freshness	freshness	NOUN
ajst-9125	4	14	of	of	ADP
ajst-9125	4	15	different	different	ADJ
ajst-9125	4	16	types	type	NOUN
ajst-9125	4	17	of	of	ADP
ajst-9125	4	18	fruits	fruit	NOUN
ajst-9125	4	19	.	.	PUNCT
ajst-9125	5	1	the	the	DET
ajst-9125	5	2	proposed	propose	VERB
ajst-9125	5	3	method	method	NOUN
ajst-9125	5	4	achieves	achieve	VERB
ajst-9125	5	5	an	an	DET
ajst-9125	5	6	average	average	ADJ
ajst-9125	5	7	accuracy	accuracy	NOUN
ajst-9125	5	8	of	of	ADP
ajst-9125	5	9	87.8	87.8	NUM
ajst-9125	5	10	%	%	NOUN
ajst-9125	5	11	and	and	CCONJ
ajst-9125	5	12	a	a	DET
ajst-9125	5	13	maximum	maximum	ADJ
ajst-9125	5	14	accuracy	accuracy	NOUN
ajst-9125	5	15	of	of	ADP
ajst-9125	5	16	95.0	95.0	NUM
ajst-9125	5	17	%	%	NOUN
ajst-9125	5	18	for	for	ADP
ajst-9125	5	19	detecting	detect	VERB
ajst-9125	5	20	the	the	DET
ajst-9125	5	21	freshness	freshness	NOUN
ajst-9125	5	22	level	level	NOUN
ajst-9125	5	23	of	of	ADP
ajst-9125	5	24	a	a	DET
ajst-9125	5	25	single	single	ADJ
ajst-9125	5	26	fruit	fruit	NOUN
ajst-9125	5	27	category	category	NOUN
ajst-9125	5	28	.	.	PUNCT
ajst-9125	6	1	experimental	experimental	ADJ
ajst-9125	6	2	results	result	NOUN
ajst-9125	6	3	confirm	confirm	VERB
ajst-9125	6	4	the	the	DET
ajst-9125	6	5	effectiveness	effectiveness	NOUN
ajst-9125	6	6	of	of	ADP
ajst-9125	6	7	our	our	PRON
ajst-9125	6	8	proposed	propose	VERB
ajst-9125	6	9	method	method	NOUN
ajst-9125	6	10	in	in	ADP
ajst-9125	6	11	accurately	accurately	ADV
ajst-9125	6	12	detecting	detect	VERB
ajst-9125	6	13	and	and	CCONJ
ajst-9125	6	14	localizing	localize	VERB
ajst-9125	6	15	the	the	DET
ajst-9125	6	16	freshness	freshness	NOUN
ajst-9125	6	17	level	level	NOUN
ajst-9125	6	18	of	of	ADP
ajst-9125	6	19	fruits	fruit	NOUN
ajst-9125	6	20	,	,	PUNCT
ajst-9125	6	21	demonstrating	demonstrate	VERB
ajst-9125	6	22	its	its	PRON
ajst-9125	6	23	potential	potential	NOUN
ajst-9125	6	24	for	for	ADP
ajst-9125	6	25	wide	wide	ADJ
ajst-9125	6	26	application	application	NOUN
ajst-9125	6	27	and	and	CCONJ
ajst-9125	6	28	promotion	promotion	NOUN
ajst-9125	6	29	in	in	ADP
ajst-9125	6	30	the	the	DET
ajst-9125	6	31	fruit	fruit	NOUN
ajst-9125	6	32	industry	industry	NOUN
ajst-9125	6	33	.	.	PUNCT
ajst-9125	7	1	keywords	keyword	NOUN
ajst-9125	7	2	:	:	PUNCT
ajst-9125	7	3	fruit	fruit	NOUN
ajst-9125	7	4	freshness	freshness	NOUN
ajst-9125	7	5	detection	detection	NOUN
ajst-9125	7	6	,	,	PUNCT
ajst-9125	7	7	yolov8	yolov8	NOUN
ajst-9125	7	8	,	,	PUNCT
ajst-9125	7	9	se	se	ADJ
ajst-9125	7	10	attention	attention	NOUN
ajst-9125	7	11	mechanism	mechanism	NOUN
ajst-9125	7	12	.	.	PUNCT
ajst-9125	8	1	1	1	X
ajst-9125	8	2	.	.	X
ajst-9125	8	3	introduction	introduction	NOUN
ajst-9125	8	4	fruit	fruit	NOUN
ajst-9125	8	5	is	be	AUX
ajst-9125	8	6	an	an	DET
ajst-9125	8	7	indispensable	indispensable	ADJ
ajst-9125	8	8	part	part	NOUN
ajst-9125	8	9	of	of	ADP
ajst-9125	8	10	people	people	NOUN
ajst-9125	8	11	's	's	PART
ajst-9125	8	12	daily	daily	ADJ
ajst-9125	8	13	diet	diet	NOUN
ajst-9125	8	14	,	,	PUNCT
ajst-9125	8	15	but	but	CCONJ
ajst-9125	8	16	in	in	ADP
ajst-9125	8	17	the	the	DET
ajst-9125	8	18	process	process	NOUN
ajst-9125	8	19	of	of	ADP
ajst-9125	8	20	storage	storage	NOUN
ajst-9125	8	21	and	and	CCONJ
ajst-9125	8	22	transportation	transportation	NOUN
ajst-9125	8	23	of	of	ADP
ajst-9125	8	24	fruit	fruit	NOUN
ajst-9125	8	25	,	,	PUNCT
ajst-9125	8	26	due	due	ADP
ajst-9125	8	27	to	to	ADP
ajst-9125	8	28	the	the	DET
ajst-9125	8	29	influence	influence	NOUN
ajst-9125	8	30	of	of	ADP
ajst-9125	8	31	various	various	ADJ
ajst-9125	8	32	factors	factor	NOUN
ajst-9125	8	33	,	,	PUNCT
ajst-9125	8	34	such	such	ADJ
ajst-9125	8	35	as	as	ADP
ajst-9125	8	36	temperature	temperature	NOUN
ajst-9125	8	37	,	,	PUNCT
ajst-9125	8	38	humidity	humidity	NOUN
ajst-9125	8	39	,	,	PUNCT
ajst-9125	8	40	oxygen	oxygen	NOUN
ajst-9125	8	41	and	and	CCONJ
ajst-9125	8	42	carbon	carbon	NOUN
ajst-9125	8	43	dioxide	dioxide	NOUN
ajst-9125	8	44	,	,	PUNCT
ajst-9125	8	45	fruit	fruit	NOUN
ajst-9125	8	46	freshness	freshness	NOUN
ajst-9125	8	47	is	be	AUX
ajst-9125	8	48	often	often	ADV
ajst-9125	8	49	affected	affect	VERB
ajst-9125	8	50	.	.	PUNCT
ajst-9125	9	1	many	many	ADJ
ajst-9125	9	2	researchers	researcher	NOUN
ajst-9125	9	3	have	have	AUX
ajst-9125	9	4	come	come	VERB
ajst-9125	9	5	up	up	ADP
ajst-9125	9	6	with	with	ADP
ajst-9125	9	7	a	a	DET
ajst-9125	9	8	variety	variety	NOUN
ajst-9125	9	9	of	of	ADP
ajst-9125	9	10	methods	method	NOUN
ajst-9125	9	11	to	to	PART
ajst-9125	9	12	detect	detect	VERB
ajst-9125	9	13	fruit	fruit	NOUN
ajst-9125	9	14	freshness	freshness	NOUN
ajst-9125	9	15	,	,	PUNCT
ajst-9125	9	16	such	such	ADJ
ajst-9125	9	17	as	as	ADP
ajst-9125	9	18	those[1][2]based	those[1][2]base	VERB
ajst-9125	9	19	on	on	ADP
ajst-9125	9	20	multiple	multiple	ADJ
ajst-9125	9	21	sensors	sensor	NOUN
ajst-9125	9	22	such	such	ADJ
ajst-9125	9	23	as	as	ADP
ajst-9125	9	24	infrared	infrared	ADJ
ajst-9125	9	25	imaging	imaging	NOUN
ajst-9125	9	26	,	,	PUNCT
ajst-9125	9	27	smell	smell	NOUN
ajst-9125	9	28	,	,	PUNCT
ajst-9125	9	29	sound	sound	NOUN
ajst-9125	9	30	and	and	CCONJ
ajst-9125	9	31	vision	vision	NOUN
ajst-9125	9	32	.	.	PUNCT
ajst-9125	10	1	however	however	ADV
ajst-9125	10	2	,	,	PUNCT
ajst-9125	10	3	these	these	DET
ajst-9125	10	4	traditional	traditional	ADJ
ajst-9125	10	5	methods	method	NOUN
ajst-9125	10	6	often	often	ADV
ajst-9125	10	7	have	have	VERB
ajst-9125	10	8	some	some	DET
ajst-9125	10	9	problems	problem	NOUN
ajst-9125	10	10	,	,	PUNCT
ajst-9125	10	11	such	such	ADJ
ajst-9125	10	12	as	as	ADP
ajst-9125	10	13	high	high	ADJ
ajst-9125	10	14	cost	cost	NOUN
ajst-9125	10	15	,	,	PUNCT
ajst-9125	10	16	poor	poor	ADJ
ajst-9125	10	17	accuracy	accuracy	NOUN
ajst-9125	10	18	,	,	PUNCT
ajst-9125	10	19	not	not	PART
ajst-9125	10	20	easy	easy	ADJ
ajst-9125	10	21	to	to	PART
ajst-9125	10	22	popularize	popularize	VERB
ajst-9125	10	23	.	.	PUNCT
ajst-9125	11	1	the	the	DET
ajst-9125	11	2	fruit	fruit	NOUN
ajst-9125	11	3	freshness	freshness	NOUN
ajst-9125	11	4	detection	detection	NOUN
ajst-9125	11	5	method	method	NOUN
ajst-9125	11	6	based	base	VERB
ajst-9125	11	7	on	on	ADP
ajst-9125	11	8	computer	computer	NOUN
ajst-9125	11	9	vision	vision	NOUN
ajst-9125	11	10	and	and	CCONJ
ajst-9125	11	11	deep	deep	ADJ
ajst-9125	11	12	learning	learning	NOUN
ajst-9125	11	13	technology	technology	NOUN
ajst-9125	11	14	has	have	VERB
ajst-9125	11	15	many	many	ADJ
ajst-9125	11	16	advantages	advantage	NOUN
ajst-9125	11	17	,	,	PUNCT
ajst-9125	11	18	such	such	ADJ
ajst-9125	11	19	as	as	ADP
ajst-9125	11	20	high	high	ADJ
ajst-9125	11	21	accuracy	accuracy	NOUN
ajst-9125	11	22	,	,	PUNCT
ajst-9125	11	23	low	low	ADJ
ajst-9125	11	24	cost	cost	NOUN
ajst-9125	11	25	,	,	PUNCT
ajst-9125	11	26	easy	easy	ADJ
ajst-9125	11	27	implementation	implementation	NOUN
ajst-9125	11	28	and	and	CCONJ
ajst-9125	11	29	popularization	popularization	NOUN
ajst-9125	11	30	.	.	PUNCT
ajst-9125	12	1	among	among	ADP
ajst-9125	12	2	them	they	PRON
ajst-9125	12	3	,	,	PUNCT
ajst-9125	12	4	the	the	DET
ajst-9125	12	5	fruit	fruit	NOUN
ajst-9125	12	6	freshness	freshness	NOUN
ajst-9125	12	7	detection	detection	NOUN
ajst-9125	12	8	method	method	NOUN
ajst-9125	12	9	using	use	VERB
ajst-9125	12	10	yolov8	yolov8	NOUN
ajst-9125	12	11	and	and	CCONJ
ajst-9125	12	12	se	se	ADJ
ajst-9125	12	13	attention	attention	NOUN
ajst-9125	12	14	mechanism	mechanism	NOUN
ajst-9125	12	15	can	can	AUX
ajst-9125	12	16	realize	realize	VERB
ajst-9125	12	17	real	real	ADJ
ajst-9125	12	18	-	-	PUNCT
ajst-9125	12	19	time	time	NOUN
ajst-9125	12	20	detection	detection	NOUN
ajst-9125	12	21	and	and	CCONJ
ajst-9125	12	22	positioning	positioning	NOUN
ajst-9125	12	23	of	of	ADP
ajst-9125	12	24	multiple	multiple	ADJ
ajst-9125	12	25	fruit	fruit	NOUN
ajst-9125	12	26	categories	category	NOUN
ajst-9125	12	27	,	,	PUNCT
ajst-9125	12	28	with	with	ADP
ajst-9125	12	29	high	high	ADJ
ajst-9125	12	30	accuracy	accuracy	NOUN
ajst-9125	12	31	and	and	CCONJ
ajst-9125	12	32	practicability	practicability	NOUN
ajst-9125	12	33	.	.	PUNCT
ajst-9125	13	1	2	2	X
ajst-9125	13	2	.	.	X
ajst-9125	13	3	introduction	introduction	NOUN
ajst-9125	13	4	of	of	ADP
ajst-9125	13	5	yolov8	yolov8	NOUN
ajst-9125	13	6	figure	figure	NOUN
ajst-9125	13	7	1	1	NUM
ajst-9125	13	8	.	.	PUNCT
ajst-9125	14	1	the	the	DET
ajst-9125	14	2	network	network	NOUN
ajst-9125	14	3	structure	structure	NOUN
ajst-9125	14	4	of	of	ADP
ajst-9125	14	5	yolov8	yolov8	NOUN
ajst-9125	14	6	yolov8	yolov8	PROPN
ajst-9125	14	7	is	be	AUX
ajst-9125	14	8	a	a	DET
ajst-9125	14	9	cutting	cut	VERB
ajst-9125	14	10	-	-	PUNCT
ajst-9125	14	11	edge	edge	NOUN
ajst-9125	14	12	model	model	NOUN
ajst-9125	14	13	that	that	PRON
ajst-9125	14	14	builds	build	VERB
ajst-9125	14	15	upon	upon	SCONJ
ajst-9125	14	16	the	the	DET
ajst-9125	14	17	design	design	NOUN
ajst-9125	14	18	principles	principle	NOUN
ajst-9125	14	19	of	of	ADP
ajst-9125	14	20	yolov5	yolov5	NOUN
ajst-9125	14	21	and	and	CCONJ
ajst-9125	14	22	yolov7	yolov7	PROPN
ajst-9125	14	23	elan	elan	NOUN
ajst-9125	14	24	,	,	PUNCT
ajst-9125	14	25	as	as	SCONJ
ajst-9125	14	26	illustrated	illustrate	VERB
ajst-9125	14	27	in	in	ADP
ajst-9125	14	28	figure	figure	NOUN
ajst-9125	14	29	1	1	NUM
ajst-9125	14	30	.	.	PUNCT
ajst-9125	15	1	this	this	DET
ajst-9125	15	2	model	model	NOUN
ajst-9125	15	3	retains	retain	VERB
ajst-9125	15	4	the	the	DET
ajst-9125	15	5	basic	basic	ADJ
ajst-9125	15	6	framework	framework	NOUN
ajst-9125	15	7	of	of	ADP
ajst-9125	15	8	yolov5	yolov5	NOUN
ajst-9125	15	9	while	while	SCONJ
ajst-9125	15	10	introducing	introduce	VERB
ajst-9125	15	11	new	new	ADJ
ajst-9125	15	12	features	feature	NOUN
ajst-9125	15	13	and	and	CCONJ
ajst-9125	15	14	improvements	improvement	NOUN
ajst-9125	15	15	to	to	PART
ajst-9125	15	16	enhance	enhance	VERB
ajst-9125	15	17	performance	performance	NOUN
ajst-9125	15	18	and	and	CCONJ
ajst-9125	15	19	flexibility	flexibility	NOUN
ajst-9125	15	20	.	.	PUNCT
ajst-9125	16	1	yolov8	yolov8	NOUN
ajst-9125	16	2	includes	include	VERB
ajst-9125	16	3	a	a	DET
ajst-9125	16	4	new	new	ADJ
ajst-9125	16	5	backbone	backbone	NOUN
ajst-9125	16	6	network	network	NOUN
ajst-9125	16	7	architecture	architecture	NOUN
ajst-9125	16	8	,	,	PUNCT
ajst-9125	16	9	an	an	DET
ajst-9125	16	10	anchor	anchor	NOUN
ajst-9125	16	11	-	-	PUNCT
ajst-9125	16	12	free	free	ADJ
ajst-9125	16	13	detection	detection	NOUN
ajst-9125	16	14	head	head	NOUN
ajst-9125	16	15	,	,	PUNCT
ajst-9125	16	16	and	and	CCONJ
ajst-9125	16	17	a	a	DET
ajst-9125	16	18	new	new	ADJ
ajst-9125	16	19	loss	loss	NOUN
ajst-9125	16	20	function	function	NOUN
ajst-9125	16	21	.	.	PUNCT
ajst-9125	17	1	it	it	PRON
ajst-9125	17	2	offers	offer	VERB
ajst-9125	17	3	models	model	NOUN
ajst-9125	17	4	of	of	ADP
ajst-9125	17	5	different	different	ADJ
ajst-9125	17	6	sizes	size	NOUN
ajst-9125	17	7	ranging	range	VERB
ajst-9125	17	8	from	from	ADP
ajst-9125	17	9	n	n	CCONJ
ajst-9125	17	10	/	/	SYM
ajst-9125	17	11	s	s	PROPN
ajst-9125	17	12	/	/	SYM
ajst-9125	17	13	m	m	NOUN
ajst-9125	17	14	/	/	SYM
ajst-9125	17	15	l	l	NOUN
ajst-9125	17	16	/	/	SYM
ajst-9125	17	17	x	x	SYM
ajst-9125	17	18	scales	scale	NOUN
ajst-9125	17	19	,	,	PUNCT
ajst-9125	17	20	which	which	PRON
ajst-9125	17	21	are	be	AUX
ajst-9125	17	22	adjusted	adjust	VERB
ajst-9125	17	23	based	base	VERB
ajst-9125	17	24	on	on	ADP
ajst-9125	17	25	scaling	scale	VERB
ajst-9125	17	26	coefficients	coefficient	NOUN
ajst-9125	17	27	.	.	PUNCT
ajst-9125	18	1	the	the	DET
ajst-9125	18	2	backbone	backbone	NOUN
ajst-9125	18	3	network	network	NOUN
ajst-9125	18	4	and	and	CCONJ
ajst-9125	18	5	neck	neck	NOUN
ajst-9125	18	6	sections	section	NOUN
ajst-9125	18	7	are	be	AUX
ajst-9125	18	8	based	base	VERB
ajst-9125	18	9	on	on	ADP
ajst-9125	18	10	the	the	DET
ajst-9125	18	11	design	design	NOUN
ajst-9125	18	12	philosophy	philosophy	NOUN
ajst-9125	18	13	of	of	ADP
ajst-9125	18	14	yolov7	yolov7	PROPN
ajst-9125	18	15	elan	elan	PROPN
ajst-9125	18	16	,	,	PUNCT
ajst-9125	18	17	with	with	ADP
ajst-9125	18	18	adjustments	adjustment	NOUN
ajst-9125	18	19	to	to	PART
ajst-9125	18	20	improve	improve	VERB
ajst-9125	18	21	model	model	NOUN
ajst-9125	18	22	performance	performance	NOUN
ajst-9125	18	23	.	.	PUNCT
ajst-9125	19	1	yolov8	yolov8	PROPN
ajst-9125	19	2	has	have	AUX
ajst-9125	19	3	undergone	undergo	VERB
ajst-9125	19	4	significant	significant	ADJ
ajst-9125	19	5	changes	change	NOUN
ajst-9125	19	6	in	in	ADP
ajst-9125	19	7	the	the	DET
ajst-9125	19	8	head	head	NOUN
ajst-9125	19	9	section	section	NOUN
ajst-9125	19	10	,	,	PUNCT
ajst-9125	19	11	using	use	VERB
ajst-9125	19	12	the	the	DET
ajst-9125	19	13	decoupled	decouple	VERB
ajst-9125	19	14	head	head	NOUN
ajst-9125	19	15	structure	structure	NOUN
ajst-9125	19	16	to	to	PART
ajst-9125	19	17	separate	separate	VERB
ajst-9125	19	18	the	the	DET
ajst-9125	19	19	classification	classification	NOUN
ajst-9125	19	20	and	and	CCONJ
ajst-9125	19	21	detection	detection	NOUN
ajst-9125	19	22	heads	head	NOUN
ajst-9125	19	23	,	,	PUNCT
ajst-9125	19	24	and	and	CCONJ
ajst-9125	19	25	changing	change	VERB
ajst-9125	19	26	the	the	DET
ajst-9125	19	27	detection	detection	NOUN
ajst-9125	19	28	head	head	NOUN
ajst-9125	19	29	from	from	ADP
ajst-9125	19	30	anchor	anchor	NOUN
ajst-9125	19	31	-	-	PUNCT
ajst-9125	19	32	based	base	VERB
ajst-9125	19	33	to	to	AUX
ajst-9125	19	34	anchor	anchor	NOUN
ajst-9125	19	35	-	-	PUNCT
ajst-9125	19	36	free	free	ADJ
ajst-9125	19	37	.	.	PUNCT
ajst-9125	20	1	the	the	DET
ajst-9125	20	2	loss	loss	NOUN
ajst-9125	20	3	calculation	calculation	NOUN
ajst-9125	20	4	uses	use	VERB
ajst-9125	20	5	the	the	DET
ajst-9125	20	6	taskalignedassigner	taskalignedassigner	NOUN
ajst-9125	20	7	positive	positive	ADJ
ajst-9125	20	8	sample	sample	NOUN
ajst-9125	20	9	allocation	allocation	NOUN
ajst-9125	20	10	strategy	strategy	NOUN
ajst-9125	20	11	and	and	CCONJ
ajst-9125	20	12	the	the	DET
ajst-9125	20	13	distribution	distribution	NOUN
ajst-9125	20	14	focal	focal	ADJ
ajst-9125	20	15	loss	loss	NOUN
ajst-9125	20	16	.	.	PUNCT
ajst-9125	21	1	in	in	ADP
ajst-9125	21	2	summary	summary	NOUN
ajst-9125	21	3	,	,	PUNCT
ajst-9125	21	4	yolov8	yolov8	PROPN
ajst-9125	21	5	is	be	AUX
ajst-9125	21	6	an	an	DET
ajst-9125	21	7	advanced	advanced	ADJ
ajst-9125	21	8	model	model	NOUN
ajst-9125	21	9	that	that	PRON
ajst-9125	21	10	builds	build	VERB
ajst-9125	21	11	upon	upon	SCONJ
ajst-9125	21	12	the	the	DET
ajst-9125	21	13	success	success	NOUN
ajst-9125	21	14	of	of	ADP
ajst-9125	21	15	previous	previous	ADJ
ajst-9125	21	16	yolo	yolo	ADJ
ajst-9125	21	17	models	model	NOUN
ajst-9125	21	18	while	while	SCONJ
ajst-9125	21	19	introducing	introduce	VERB
ajst-9125	21	20	new	new	ADJ
ajst-9125	21	21	features	feature	NOUN
ajst-9125	21	22	and	and	CCONJ
ajst-9125	21	23	improvements	improvement	NOUN
ajst-9125	21	24	.	.	PUNCT
ajst-9125	22	1	it	it	PRON
ajst-9125	22	2	offers	offer	VERB
ajst-9125	22	3	different	different	ADJ
ajst-9125	22	4	size	size	NOUN
ajst-9125	22	5	models	model	NOUN
ajst-9125	22	6	and	and	CCONJ
ajst-9125	22	7	incorporates	incorporate	VERB
ajst-9125	22	8	various	various	ADJ
ajst-9125	22	9	design	design	NOUN
ajst-9125	22	10	changes	change	NOUN
ajst-9125	22	11	to	to	PART
ajst-9125	22	12	improve	improve	VERB
ajst-9125	22	13	performance	performance	NOUN
ajst-9125	22	14	and	and	CCONJ
ajst-9125	22	15	flexibility	flexibility	NOUN
ajst-9125	22	16	.	.	PUNCT
ajst-9125	23	1	3	3	X
ajst-9125	23	2	.	.	X
ajst-9125	23	3	introduction	introduction	NOUN
ajst-9125	23	4	of	of	ADP
ajst-9125	23	5	se	se	PROPN
ajst-9125	23	6	attention	attention	NOUN
ajst-9125	23	7	mechanism	mechanism	NOUN
ajst-9125	23	8	figure	figure	NOUN
ajst-9125	23	9	2	2	NUM
ajst-9125	23	10	.	.	PUNCT
ajst-9125	23	11	structure	structure	NOUN
ajst-9125	23	12	of	of	ADP
ajst-9125	23	13	se	se	PROPN
ajst-9125	23	14	attention	attention	NOUN
ajst-9125	23	15	as	as	SCONJ
ajst-9125	23	16	shown	show	VERB
ajst-9125	23	17	in	in	ADP
ajst-9125	23	18	figure	figure	NOUN
ajst-9125	23	19	2	2	NUM
ajst-9125	23	20	,	,	PUNCT
ajst-9125	23	21	the	the	DET
ajst-9125	23	22	se	se	X
ajst-9125	23	23	(	(	PUNCT
ajst-9125	23	24	squeeze	squeeze	NOUN
ajst-9125	23	25	-	-	PUNCT
ajst-9125	23	26	andexcitation)[3]attention	andexcitation)[3]attention	NOUN
ajst-9125	23	27	mechanism	mechanism	NOUN
ajst-9125	23	28	is	be	AUX
ajst-9125	23	29	a	a	DET
ajst-9125	23	30	channel	channel	NOUN
ajst-9125	23	31	-	-	PUNCT
ajst-9125	23	32	wise	wise	ADJ
ajst-9125	23	33	attention	attention	NOUN
ajst-9125	23	34	mechanism	mechanism	NOUN
ajst-9125	23	35	that	that	PRON
ajst-9125	23	36	improves	improve	VERB
ajst-9125	23	37	the	the	DET
ajst-9125	23	38	interdependencies	interdependency	NOUN
ajst-9125	23	39	between	between	ADP
ajst-9125	23	40	196	196	NUM
ajst-9125	23	41	channels	channel	NOUN
ajst-9125	23	42	in	in	ADP
ajst-9125	23	43	a	a	DET
ajst-9125	23	44	feature	feature	NOUN
ajst-9125	23	45	map	map	NOUN
ajst-9125	23	46	.	.	PUNCT
ajst-9125	24	1	it	it	PRON
ajst-9125	24	2	takes	take	VERB
ajst-9125	24	3	the	the	DET
ajst-9125	24	4	feature	feature	NOUN
ajst-9125	24	5	map	map	NOUN
ajst-9125	24	6	as	as	ADP
ajst-9125	24	7	input	input	NOUN
ajst-9125	24	8	and	and	CCONJ
ajst-9125	24	9	performs	perform	VERB
ajst-9125	24	10	global	global	ADJ
ajst-9125	24	11	average	average	ADJ
ajst-9125	24	12	pooling	pooling	NOUN
ajst-9125	24	13	to	to	PART
ajst-9125	24	14	reduce	reduce	VERB
ajst-9125	24	15	the	the	DET
ajst-9125	24	16	spatial	spatial	ADJ
ajst-9125	24	17	features	feature	NOUN
ajst-9125	24	18	to	to	ADP
ajst-9125	24	19	1	1	NUM
ajst-9125	24	20	x	x	SYM
ajst-9125	24	21	1	1	NUM
ajst-9125	24	22	.	.	PUNCT
ajst-9125	25	1	then	then	ADV
ajst-9125	25	2	,	,	PUNCT
ajst-9125	25	3	it	it	PRON
ajst-9125	25	4	establishes	establish	VERB
ajst-9125	25	5	channel	channel	NOUN
ajst-9125	25	6	connections	connection	NOUN
ajst-9125	25	7	through	through	ADP
ajst-9125	25	8	two	two	NUM
ajst-9125	25	9	fully	fully	ADV
ajst-9125	25	10	connected	connected	ADJ
ajst-9125	25	11	layers	layer	NOUN
ajst-9125	25	12	with	with	ADP
ajst-9125	25	13	a	a	DET
ajst-9125	25	14	nonlinear	nonlinear	ADJ
ajst-9125	25	15	activation	activation	NOUN
ajst-9125	25	16	function	function	NOUN
ajst-9125	25	17	.	.	PUNCT
ajst-9125	26	1	the	the	DET
ajst-9125	26	2	sigmoid	sigmoid	NOUN
ajst-9125	26	3	activation	activation	NOUN
ajst-9125	26	4	function	function	NOUN
ajst-9125	26	5	is	be	AUX
ajst-9125	26	6	used	use	VERB
ajst-9125	26	7	to	to	PART
ajst-9125	26	8	obtain	obtain	VERB
ajst-9125	26	9	normalized	normalize	VERB
ajst-9125	26	10	weights	weight	NOUN
ajst-9125	26	11	,	,	PUNCT
ajst-9125	26	12	which	which	PRON
ajst-9125	26	13	are	be	AUX
ajst-9125	26	14	multiplied	multiply	VERB
ajst-9125	26	15	with	with	ADP
ajst-9125	26	16	the	the	DET
ajst-9125	26	17	original	original	ADJ
ajst-9125	26	18	feature	feature	NOUN
ajst-9125	26	19	map	map	NOUN
ajst-9125	26	20	in	in	ADP
ajst-9125	26	21	a	a	DET
ajst-9125	26	22	channel	channel	NOUN
ajst-9125	26	23	-	-	PUNCT
ajst-9125	26	24	wise	wise	ADJ
ajst-9125	26	25	manner	manner	NOUN
ajst-9125	26	26	to	to	PART
ajst-9125	26	27	complete	complete	VERB
ajst-9125	26	28	the	the	DET
ajst-9125	26	29	channel	channel	NOUN
ajst-9125	26	30	attention	attention	NOUN
ajst-9125	26	31	process	process	NOUN
ajst-9125	26	32	.	.	PUNCT
ajst-9125	27	1	the	the	DET
ajst-9125	27	2	first	first	ADJ
ajst-9125	27	3	fully	fully	ADV
ajst-9125	27	4	connected	connect	VERB
ajst-9125	27	5	layer	layer	NOUN
ajst-9125	27	6	reduces	reduce	VERB
ajst-9125	27	7	the	the	DET
ajst-9125	27	8	dimensionality	dimensionality	NOUN
ajst-9125	27	9	of	of	ADP
ajst-9125	27	10	the	the	DET
ajst-9125	27	11	feature	feature	NOUN
ajst-9125	27	12	values	value	NOUN
ajst-9125	27	13	,	,	PUNCT
ajst-9125	27	14	which	which	PRON
ajst-9125	27	15	reduces	reduce	VERB
ajst-9125	27	16	computation	computation	NOUN
ajst-9125	27	17	and	and	CCONJ
ajst-9125	27	18	parameters	parameter	NOUN
ajst-9125	27	19	,	,	PUNCT
ajst-9125	27	20	and	and	CCONJ
ajst-9125	27	21	the	the	DET
ajst-9125	27	22	second	second	ADJ
ajst-9125	27	23	fully	fully	ADV
ajst-9125	27	24	connected	connect	VERB
ajst-9125	27	25	layer	layer	NOUN
ajst-9125	27	26	restores	restore	VERB
ajst-9125	27	27	the	the	DET
ajst-9125	27	28	original	original	ADJ
ajst-9125	27	29	channel	channel	NOUN
ajst-9125	27	30	number	number	NOUN
ajst-9125	27	31	,	,	PUNCT
ajst-9125	27	32	establishing	establish	VERB
ajst-9125	27	33	correlations	correlation	NOUN
ajst-9125	27	34	between	between	ADP
ajst-9125	27	35	channels	channel	NOUN
ajst-9125	27	36	.	.	PUNCT
ajst-9125	28	1	4	4	X
ajst-9125	28	2	.	.	X
ajst-9125	28	3	experiment	experiment	NOUN
ajst-9125	28	4	and	and	CCONJ
ajst-9125	28	5	analysis	analysis	NOUN
ajst-9125	28	6	the	the	DET
ajst-9125	28	7	dataset	dataset	NOUN
ajst-9125	28	8	used	use	VERB
ajst-9125	28	9	in	in	ADP
ajst-9125	28	10	our	our	PRON
ajst-9125	28	11	study	study	NOUN
ajst-9125	28	12	is	be	AUX
ajst-9125	28	13	named	name	VERB
ajst-9125	28	14	"	"	PUNCT
ajst-9125	28	15	fruit_bad_dataset	fruit_bad_dataset	NOUN
ajst-9125	28	16	"	"	PUNCT
ajst-9125	28	17	and	and	CCONJ
ajst-9125	28	18	contains	contain	VERB
ajst-9125	28	19	a	a	DET
ajst-9125	28	20	total	total	NOUN
ajst-9125	28	21	of	of	ADP
ajst-9125	28	22	401	401	NUM
ajst-9125	28	23	images	image	NOUN
ajst-9125	28	24	.	.	PUNCT
ajst-9125	29	1	the	the	DET
ajst-9125	29	2	dataset	dataset	NOUN
ajst-9125	29	3	consists	consist	VERB
ajst-9125	29	4	of	of	ADP
ajst-9125	29	5	four	four	NUM
ajst-9125	29	6	classes	class	NOUN
ajst-9125	29	7	:	:	PUNCT
ajst-9125	29	8	"	"	PUNCT
ajst-9125	29	9	apple	apple	NOUN
ajst-9125	29	10	"	"	PUNCT
ajst-9125	29	11	with	with	ADP
ajst-9125	29	12	95	95	NUM
ajst-9125	29	13	images	image	NOUN
ajst-9125	29	14	,	,	PUNCT
ajst-9125	29	15	"	"	PUNCT
ajst-9125	29	16	bad	bad	ADJ
ajst-9125	29	17	apple	apple	NOUN
ajst-9125	29	18	"	"	PUNCT
ajst-9125	29	19	with	with	ADP
ajst-9125	29	20	69	69	NUM
ajst-9125	29	21	images	image	NOUN
ajst-9125	29	22	,	,	PUNCT
ajst-9125	29	23	"	"	PUNCT
ajst-9125	29	24	banana	banana	NOUN
ajst-9125	29	25	"	"	PUNCT
ajst-9125	29	26	with	with	ADP
ajst-9125	29	27	94	94	NUM
ajst-9125	29	28	images	image	NOUN
ajst-9125	29	29	,	,	PUNCT
ajst-9125	29	30	and	and	CCONJ
ajst-9125	29	31	"	"	PUNCT
ajst-9125	29	32	bad	bad	ADJ
ajst-9125	29	33	banana	banana	NOUN
ajst-9125	29	34	"	"	PUNCT
ajst-9125	29	35	with	with	ADP
ajst-9125	29	36	60	60	NUM
ajst-9125	29	37	images	image	NOUN
ajst-9125	29	38	.	.	PUNCT
ajst-9125	30	1	additionally	additionally	ADV
ajst-9125	30	2	,	,	PUNCT
ajst-9125	30	3	25	25	NUM
ajst-9125	30	4	images	image	NOUN
ajst-9125	30	5	depict	depict	VERB
ajst-9125	30	6	a	a	DET
ajst-9125	30	7	mix	mix	NOUN
ajst-9125	30	8	of	of	ADP
ajst-9125	30	9	apples	apple	NOUN
ajst-9125	30	10	and	and	CCONJ
ajst-9125	30	11	bananas	banana	NOUN
ajst-9125	30	12	,	,	PUNCT
ajst-9125	30	13	and	and	CCONJ
ajst-9125	30	14	58	58	NUM
ajst-9125	30	15	images	image	NOUN
ajst-9125	30	16	depict	depict	VERB
ajst-9125	30	17	a	a	DET
ajst-9125	30	18	mix	mix	NOUN
ajst-9125	30	19	of	of	ADP
ajst-9125	30	20	bad	bad	ADJ
ajst-9125	30	21	apples	apple	NOUN
ajst-9125	30	22	and	and	CCONJ
ajst-9125	30	23	bad	bad	ADJ
ajst-9125	30	24	bananas	banana	NOUN
ajst-9125	30	25	.	.	PUNCT
ajst-9125	31	1	examples	example	NOUN
ajst-9125	31	2	of	of	ADP
ajst-9125	31	3	each	each	DET
ajst-9125	31	4	category	category	NOUN
ajst-9125	31	5	are	be	AUX
ajst-9125	31	6	shown	show	VERB
ajst-9125	31	7	in	in	ADP
ajst-9125	31	8	figure	figure	NOUN
ajst-9125	31	9	3	3	NUM
ajst-9125	31	10	.	.	PUNCT
ajst-9125	31	11	figure	figure	NOUN
ajst-9125	31	12	3	3	NUM
ajst-9125	31	13	.	.	NOUN
ajst-9125	31	14	example	example	NOUN
ajst-9125	31	15	graphs	graph	NOUN
ajst-9125	31	16	for	for	ADP
ajst-9125	31	17	each	each	DET
ajst-9125	31	18	category	category	NOUN
ajst-9125	31	19	the	the	DET
ajst-9125	31	20	images	image	NOUN
ajst-9125	31	21	in	in	ADP
ajst-9125	31	22	the	the	DET
ajst-9125	31	23	dataset	dataset	NOUN
ajst-9125	31	24	were	be	AUX
ajst-9125	31	25	selected	select	VERB
ajst-9125	31	26	to	to	PART
ajst-9125	31	27	represent	represent	VERB
ajst-9125	31	28	common	common	ADJ
ajst-9125	31	29	fruits	fruit	NOUN
ajst-9125	31	30	that	that	PRON
ajst-9125	31	31	are	be	AUX
ajst-9125	31	32	prone	prone	ADJ
ajst-9125	31	33	to	to	ADP
ajst-9125	31	34	decay	decay	VERB
ajst-9125	31	35	,	,	PUNCT
ajst-9125	31	36	spoilage	spoilage	NOUN
ajst-9125	31	37	,	,	PUNCT
ajst-9125	31	38	and	and	CCONJ
ajst-9125	31	39	damage	damage	NOUN
ajst-9125	31	40	.	.	PUNCT
ajst-9125	32	1	the	the	DET
ajst-9125	32	2	"	"	PUNCT
ajst-9125	32	3	bad	bad	ADJ
ajst-9125	32	4	"	"	PUNCT
ajst-9125	32	5	classes	class	NOUN
ajst-9125	32	6	were	be	AUX
ajst-9125	32	7	included	include	VERB
ajst-9125	32	8	to	to	PART
ajst-9125	32	9	simulate	simulate	VERB
ajst-9125	32	10	real	real	ADJ
ajst-9125	32	11	-	-	PUNCT
ajst-9125	32	12	world	world	NOUN
ajst-9125	32	13	scenarios	scenario	NOUN
ajst-9125	32	14	where	where	SCONJ
ajst-9125	32	15	fruits	fruit	NOUN
ajst-9125	32	16	may	may	AUX
ajst-9125	32	17	be	be	AUX
ajst-9125	32	18	unfit	unfit	ADJ
ajst-9125	32	19	for	for	ADP
ajst-9125	32	20	consumption	consumption	NOUN
ajst-9125	32	21	due	due	ADP
ajst-9125	32	22	to	to	ADP
ajst-9125	32	23	various	various	ADJ
ajst-9125	32	24	reasons	reason	NOUN
ajst-9125	32	25	such	such	ADJ
ajst-9125	32	26	as	as	ADP
ajst-9125	32	27	insect	insect	NOUN
ajst-9125	32	28	infestation	infestation	NOUN
ajst-9125	32	29	,	,	PUNCT
ajst-9125	32	30	physical	physical	ADJ
ajst-9125	32	31	damage	damage	NOUN
ajst-9125	32	32	,	,	PUNCT
ajst-9125	32	33	or	or	CCONJ
ajst-9125	32	34	microbial	microbial	ADJ
ajst-9125	32	35	contamination	contamination	NOUN
ajst-9125	32	36	.	.	PUNCT
ajst-9125	33	1	the	the	DET
ajst-9125	33	2	mixed	mixed	ADJ
ajst-9125	33	3	classes	class	NOUN
ajst-9125	33	4	were	be	AUX
ajst-9125	33	5	added	add	VERB
ajst-9125	33	6	to	to	AUX
ajst-9125	33	7	further	far	ADV
ajst-9125	33	8	challenge	challenge	VERB
ajst-9125	33	9	the	the	DET
ajst-9125	33	10	classification	classification	NOUN
ajst-9125	33	11	task	task	NOUN
ajst-9125	33	12	by	by	ADP
ajst-9125	33	13	introducing	introduce	VERB
ajst-9125	33	14	combinations	combination	NOUN
ajst-9125	33	15	of	of	ADP
ajst-9125	33	16	different	different	ADJ
ajst-9125	33	17	fruit	fruit	NOUN
ajst-9125	33	18	types	type	NOUN
ajst-9125	33	19	and	and	CCONJ
ajst-9125	33	20	their	their	PRON
ajst-9125	33	21	associated	associated	ADJ
ajst-9125	33	22	defects	defect	NOUN
ajst-9125	33	23	.	.	PUNCT
ajst-9125	34	1	in	in	ADP
ajst-9125	34	2	our	our	PRON
ajst-9125	34	3	study	study	NOUN
ajst-9125	34	4	,	,	PUNCT
ajst-9125	34	5	we	we	PRON
ajst-9125	34	6	utilized	utilize	VERB
ajst-9125	34	7	the	the	DET
ajst-9125	34	8	yolov8	yolov8	NOUN
ajst-9125	34	9	model	model	NOUN
ajst-9125	34	10	to	to	PART
ajst-9125	34	11	train	train	VERB
ajst-9125	34	12	on	on	ADP
ajst-9125	34	13	the	the	DET
ajst-9125	34	14	fruit_bad_dataset	fruit_bad_dataset	NOUN
ajst-9125	34	15	.	.	PUNCT
ajst-9125	35	1	we	we	PRON
ajst-9125	35	2	employed	employ	VERB
ajst-9125	35	3	a	a	DET
ajst-9125	35	4	stochastic	stochastic	ADJ
ajst-9125	35	5	gradient	gradient	ADJ
ajst-9125	35	6	descent	descent	NOUN
ajst-9125	35	7	algorithm	algorithm	NOUN
ajst-9125	35	8	with	with	ADP
ajst-9125	35	9	a	a	DET
ajst-9125	35	10	batch	batch	NOUN
ajst-9125	35	11	size	size	NOUN
ajst-9125	35	12	of	of	ADP
ajst-9125	35	13	8	8	NUM
ajst-9125	35	14	and	and	CCONJ
ajst-9125	35	15	used	use	VERB
ajst-9125	35	16	sgd	sgd	PROPN
ajst-9125	35	17	as	as	ADP
ajst-9125	35	18	the	the	DET
ajst-9125	35	19	optimizer	optimizer	NOUN
ajst-9125	35	20	.	.	PUNCT
ajst-9125	36	1	the	the	DET
ajst-9125	36	2	learning	learning	NOUN
ajst-9125	36	3	rate	rate	NOUN
ajst-9125	36	4	was	be	AUX
ajst-9125	36	5	decayed	decay	VERB
ajst-9125	36	6	to	to	ADP
ajst-9125	36	7	0.01	0.01	NUM
ajst-9125	36	8	after	after	ADP
ajst-9125	36	9	100	100	NUM
ajst-9125	36	10	iterations	iteration	NOUN
ajst-9125	36	11	,	,	PUNCT
ajst-9125	36	12	and	and	CCONJ
ajst-9125	36	13	the	the	DET
ajst-9125	36	14	training	training	NOUN
ajst-9125	36	15	process	process	NOUN
ajst-9125	36	16	continued	continue	VERB
ajst-9125	36	17	for	for	ADP
ajst-9125	36	18	a	a	DET
ajst-9125	36	19	total	total	NOUN
ajst-9125	36	20	of	of	ADP
ajst-9125	36	21	1	1	NUM
ajst-9125	36	22	hour	hour	NOUN
ajst-9125	36	23	on	on	ADP
ajst-9125	36	24	an	an	DET
ajst-9125	36	25	rtx3060	rtx3060	NOUN
ajst-9125	36	26	device	device	NOUN
ajst-9125	36	27	.	.	PUNCT
ajst-9125	37	1	5	5	X
ajst-9125	37	2	.	.	X
ajst-9125	37	3	experimental	experimental	ADJ
ajst-9125	37	4	application	application	NOUN
ajst-9125	37	5	and	and	CCONJ
ajst-9125	37	6	results	result	NOUN
ajst-9125	37	7	as	as	SCONJ
ajst-9125	37	8	shown	show	VERB
ajst-9125	37	9	in	in	ADP
ajst-9125	37	10	figure	figure	NOUN
ajst-9125	37	11	4,the	4,the	DET
ajst-9125	37	12	confusion	confusion	NOUN
ajst-9125	37	13	matrix	matrix	NOUN
ajst-9125	37	14	shows	show	VERB
ajst-9125	37	15	how	how	SCONJ
ajst-9125	37	16	the	the	DET
ajst-9125	37	17	classifier	classifier	NOUN
ajst-9125	37	18	behaves	behave	VERB
ajst-9125	37	19	on	on	ADP
ajst-9125	37	20	the	the	DET
ajst-9125	37	21	test	test	NOUN
ajst-9125	37	22	set	set	NOUN
ajst-9125	37	23	.	.	PUNCT
ajst-9125	38	1	in	in	ADP
ajst-9125	38	2	the	the	DET
ajst-9125	38	3	apple	apple	NOUN
ajst-9125	38	4	category	category	NOUN
ajst-9125	38	5	,	,	PUNCT
ajst-9125	38	6	95	95	NUM
ajst-9125	38	7	%	%	NOUN
ajst-9125	38	8	of	of	ADP
ajst-9125	38	9	samples	sample	NOUN
ajst-9125	38	10	were	be	AUX
ajst-9125	38	11	correctly	correctly	ADV
ajst-9125	38	12	classified	classified	ADJ
ajst-9125	38	13	and	and	CCONJ
ajst-9125	38	14	the	the	DET
ajst-9125	38	15	misjudgment	misjudgment	NOUN
ajst-9125	38	16	rate	rate	NOUN
ajst-9125	38	17	was	be	AUX
ajst-9125	38	18	5	5	NUM
ajst-9125	38	19	%	%	NOUN
ajst-9125	38	20	.	.	PUNCT
ajst-9125	39	1	in	in	ADP
ajst-9125	39	2	the	the	DET
ajst-9125	39	3	bad	bad	ADJ
ajst-9125	39	4	banana	banana	NOUN
ajst-9125	39	5	category	category	NOUN
ajst-9125	39	6	,	,	PUNCT
ajst-9125	39	7	94	94	NUM
ajst-9125	39	8	percent	percent	NOUN
ajst-9125	39	9	of	of	ADP
ajst-9125	39	10	the	the	DET
ajst-9125	39	11	sample	sample	NOUN
ajst-9125	39	12	was	be	AUX
ajst-9125	39	13	correctly	correctly	ADV
ajst-9125	39	14	classified	classified	ADJ
ajst-9125	39	15	,	,	PUNCT
ajst-9125	39	16	with	with	ADP
ajst-9125	39	17	a	a	DET
ajst-9125	39	18	misjudgment	misjudgment	NOUN
ajst-9125	39	19	rate	rate	NOUN
ajst-9125	39	20	of	of	ADP
ajst-9125	39	21	6	6	NUM
ajst-9125	39	22	percent	percent	NOUN
ajst-9125	39	23	.	.	PUNCT
ajst-9125	40	1	in	in	ADP
ajst-9125	40	2	the	the	DET
ajst-9125	40	3	banana	banana	NOUN
ajst-9125	40	4	category	category	NOUN
ajst-9125	40	5	,	,	PUNCT
ajst-9125	40	6	85	85	NUM
ajst-9125	40	7	%	%	NOUN
ajst-9125	40	8	of	of	ADP
ajst-9125	40	9	the	the	DET
ajst-9125	40	10	samples	sample	NOUN
ajst-9125	40	11	were	be	AUX
ajst-9125	40	12	correctly	correctly	ADV
ajst-9125	40	13	classified	classified	ADJ
ajst-9125	40	14	and	and	CCONJ
ajst-9125	40	15	the	the	DET
ajst-9125	40	16	misjudgment	misjudgment	NOUN
ajst-9125	40	17	rate	rate	NOUN
ajst-9125	40	18	was	be	AUX
ajst-9125	40	19	15	15	NUM
ajst-9125	40	20	%	%	NOUN
ajst-9125	40	21	.	.	PUNCT
ajst-9125	41	1	in	in	ADP
ajst-9125	41	2	the	the	DET
ajst-9125	41	3	bad	bad	ADJ
ajst-9125	41	4	apple	apple	NOUN
ajst-9125	41	5	category	category	NOUN
ajst-9125	41	6	,	,	PUNCT
ajst-9125	41	7	77	77	NUM
ajst-9125	41	8	percent	percent	NOUN
ajst-9125	41	9	of	of	ADP
ajst-9125	41	10	the	the	DET
ajst-9125	41	11	samples	sample	NOUN
ajst-9125	41	12	were	be	AUX
ajst-9125	41	13	correctly	correctly	ADV
ajst-9125	41	14	classified	classified	ADJ
ajst-9125	41	15	,	,	PUNCT
ajst-9125	41	16	with	with	ADP
ajst-9125	41	17	a	a	DET
ajst-9125	41	18	misjudgment	misjudgment	NOUN
ajst-9125	41	19	rate	rate	NOUN
ajst-9125	41	20	of	of	ADP
ajst-9125	41	21	23	23	NUM
ajst-9125	41	22	percent	percent	NOUN
ajst-9125	41	23	.	.	PUNCT
ajst-9125	42	1	figure	figure	NOUN
ajst-9125	42	2	4	4	NUM
ajst-9125	42	3	.	.	PUNCT
ajst-9125	42	4	confusion	confusion	NOUN
ajst-9125	42	5	matrix	matrix	NOUN
ajst-9125	42	6	result	result	NOUN
ajst-9125	42	7	from	from	ADP
ajst-9125	42	8	figure	figure	NOUN
ajst-9125	42	9	5	5	NUM
ajst-9125	42	10	,	,	PUNCT
ajst-9125	42	11	we	we	PRON
ajst-9125	42	12	can	can	AUX
ajst-9125	42	13	observe	observe	VERB
ajst-9125	42	14	that	that	SCONJ
ajst-9125	42	15	the	the	DET
ajst-9125	42	16	trained	train	VERB
ajst-9125	42	17	model	model	NOUN
ajst-9125	42	18	is	be	AUX
ajst-9125	42	19	able	able	ADJ
ajst-9125	42	20	to	to	PART
ajst-9125	42	21	predict	predict	VERB
ajst-9125	42	22	and	and	CCONJ
ajst-9125	42	23	mark	mark	VERB
ajst-9125	42	24	all	all	DET
ajst-9125	42	25	possible	possible	ADJ
ajst-9125	42	26	targets	target	NOUN
ajst-9125	42	27	in	in	ADP
ajst-9125	42	28	the	the	DET
ajst-9125	42	29	pictures	picture	NOUN
ajst-9125	42	30	,	,	PUNCT
ajst-9125	42	31	instead	instead	ADV
ajst-9125	42	32	of	of	ADP
ajst-9125	42	33	just	just	ADV
ajst-9125	42	34	distinguishing	distinguish	VERB
ajst-9125	42	35	one	one	NUM
ajst-9125	42	36	category	category	NOUN
ajst-9125	42	37	for	for	ADP
ajst-9125	42	38	each	each	DET
ajst-9125	42	39	picture	picture	NOUN
ajst-9125	42	40	.	.	PUNCT
ajst-9125	43	1	remarkably	remarkably	ADV
ajst-9125	43	2	,	,	PUNCT
ajst-9125	43	3	the	the	DET
ajst-9125	43	4	model	model	NOUN
ajst-9125	43	5	maintains	maintain	VERB
ajst-9125	43	6	a	a	DET
ajst-9125	43	7	good	good	ADJ
ajst-9125	43	8	classification	classification	NOUN
ajst-9125	43	9	effect	effect	NOUN
ajst-9125	43	10	even	even	ADV
ajst-9125	43	11	when	when	SCONJ
ajst-9125	43	12	the	the	DET
ajst-9125	43	13	targets	target	NOUN
ajst-9125	43	14	are	be	AUX
ajst-9125	43	15	partially	partially	ADV
ajst-9125	43	16	or	or	CCONJ
ajst-9125	43	17	fully	fully	ADV
ajst-9125	43	18	blocked	block	VERB
ajst-9125	43	19	.	.	PUNCT
ajst-9125	44	1	it	it	PRON
ajst-9125	44	2	's	be	AUX
ajst-9125	44	3	worth	worth	ADJ
ajst-9125	44	4	noting	note	VERB
ajst-9125	44	5	that	that	SCONJ
ajst-9125	44	6	the	the	DET
ajst-9125	44	7	model	model	NOUN
ajst-9125	44	8	's	's	PART
ajst-9125	44	9	performance	performance	NOUN
ajst-9125	44	10	is	be	AUX
ajst-9125	44	11	impressive	impressive	ADJ
ajst-9125	44	12	given	give	VERB
ajst-9125	44	13	that	that	SCONJ
ajst-9125	44	14	each	each	DET
ajst-9125	44	15	image	image	NOUN
ajst-9125	44	16	is	be	AUX
ajst-9125	44	17	processed	process	VERB
ajst-9125	44	18	in	in	ADP
ajst-9125	44	19	approximately	approximately	ADV
ajst-9125	44	20	20	20	NUM
ajst-9125	44	21	milliseconds	millisecond	NOUN
ajst-9125	44	22	,	,	PUNCT
ajst-9125	44	23	which	which	PRON
ajst-9125	44	24	demonstrates	demonstrate	VERB
ajst-9125	44	25	its	its	PRON
ajst-9125	44	26	efficiency	efficiency	NOUN
ajst-9125	44	27	and	and	CCONJ
ajst-9125	44	28	speed	speed	NOUN
ajst-9125	44	29	in	in	ADP
ajst-9125	44	30	real	real	ADJ
ajst-9125	44	31	-	-	PUNCT
ajst-9125	44	32	time	time	NOUN
ajst-9125	44	33	applications	application	NOUN
ajst-9125	44	34	.	.	PUNCT
ajst-9125	45	1	figure	figure	NOUN
ajst-9125	45	2	5	5	NUM
ajst-9125	45	3	.	.	PUNCT
ajst-9125	45	4	classification	classification	NOUN
ajst-9125	45	5	prediction	prediction	NOUN
ajst-9125	45	6	result	result	VERB
ajst-9125	45	7	6	6	NUM
ajst-9125	45	8	.	.	PUNCT
ajst-9125	45	9	conclusion	conclusion	NOUN
ajst-9125	45	10	in	in	ADP
ajst-9125	45	11	conclusion	conclusion	NOUN
ajst-9125	45	12	,	,	PUNCT
ajst-9125	45	13	the	the	DET
ajst-9125	45	14	trained	train	VERB
ajst-9125	45	15	model	model	NOUN
ajst-9125	45	16	demonstrated	demonstrate	VERB
ajst-9125	45	17	impressive	impressive	ADJ
ajst-9125	45	18	performance	performance	NOUN
ajst-9125	45	19	in	in	ADP
ajst-9125	45	20	predicting	predict	VERB
ajst-9125	45	21	and	and	CCONJ
ajst-9125	45	22	marking	mark	VERB
ajst-9125	45	23	all	all	DET
ajst-9125	45	24	possible	possible	ADJ
ajst-9125	45	25	targets	target	NOUN
ajst-9125	45	26	in	in	ADP
ajst-9125	45	27	pictures	picture	NOUN
ajst-9125	45	28	,	,	PUNCT
ajst-9125	45	29	while	while	SCONJ
ajst-9125	45	30	maintaining	maintain	VERB
ajst-9125	45	31	good	good	ADJ
ajst-9125	45	32	classification	classification	NOUN
ajst-9125	45	33	accuracy	accuracy	NOUN
ajst-9125	45	34	even	even	ADV
ajst-9125	45	35	197	197	NUM
ajst-9125	45	36	when	when	SCONJ
ajst-9125	45	37	targets	target	NOUN
ajst-9125	45	38	were	be	AUX
ajst-9125	45	39	partially	partially	ADV
ajst-9125	45	40	or	or	CCONJ
ajst-9125	45	41	fully	fully	ADV
ajst-9125	45	42	blocked	block	VERB
ajst-9125	45	43	.	.	PUNCT
ajst-9125	46	1	the	the	DET
ajst-9125	46	2	model	model	NOUN
ajst-9125	46	3	's	's	PART
ajst-9125	46	4	efficiency	efficiency	NOUN
ajst-9125	46	5	and	and	CCONJ
ajst-9125	46	6	speed	speed	NOUN
ajst-9125	46	7	,	,	PUNCT
ajst-9125	46	8	with	with	SCONJ
ajst-9125	46	9	each	each	DET
ajst-9125	46	10	image	image	NOUN
ajst-9125	46	11	being	be	AUX
ajst-9125	46	12	processed	process	VERB
ajst-9125	46	13	in	in	ADP
ajst-9125	46	14	approximately	approximately	ADV
ajst-9125	46	15	20	20	NUM
ajst-9125	46	16	milliseconds	millisecond	NOUN
ajst-9125	46	17	,	,	PUNCT
ajst-9125	46	18	make	make	VERB
ajst-9125	46	19	it	it	PRON
ajst-9125	46	20	suitable	suitable	ADJ
ajst-9125	46	21	for	for	ADP
ajst-9125	46	22	real	real	ADJ
ajst-9125	46	23	-	-	PUNCT
ajst-9125	46	24	time	time	NOUN
ajst-9125	46	25	applications	application	NOUN
ajst-9125	46	26	.	.	PUNCT
ajst-9125	47	1	overall	overall	ADV
ajst-9125	47	2	,	,	PUNCT
ajst-9125	47	3	the	the	DET
ajst-9125	47	4	model	model	NOUN
ajst-9125	47	5	's	's	PART
ajst-9125	47	6	capabilities	capability	NOUN
ajst-9125	47	7	and	and	CCONJ
ajst-9125	47	8	speed	speed	NOUN
ajst-9125	47	9	make	make	VERB
ajst-9125	47	10	it	it	PRON
ajst-9125	47	11	a	a	DET
ajst-9125	47	12	promising	promising	ADJ
ajst-9125	47	13	tool	tool	NOUN
ajst-9125	47	14	for	for	ADP
ajst-9125	47	15	a	a	DET
ajst-9125	47	16	variety	variety	NOUN
ajst-9125	47	17	of	of	ADP
ajst-9125	47	18	image	image	NOUN
ajst-9125	47	19	recognition	recognition	NOUN
ajst-9125	47	20	tasks	task	NOUN
ajst-9125	47	21	.	.	PUNCT
ajst-9125	48	1	references	reference	NOUN
ajst-9125	48	2	[	[	X
ajst-9125	48	3	1	1	NUM
ajst-9125	48	4	]	]	X
ajst-9125	48	5	chen	chen	PROPN
ajst-9125	48	6	ling	ling	PROPN
ajst-9125	48	7	,	,	PUNCT
ajst-9125	48	8	cheng	cheng	PROPN
ajst-9125	48	9	guodong	guodong	PROPN
ajst-9125	48	10	,	,	PUNCT
ajst-9125	48	11	xu	xu	PROPN
ajst-9125	48	12	jianhang	jianhang	PROPN
ajst-9125	48	13	,	,	PUNCT
ajst-9125	48	14	hu	hu	PROPN
ajst-9125	48	15	zhiming	zhiming	PROPN
ajst-9125	48	16	,	,	PUNCT
ajst-9125	48	17	jia	jia	PROPN
ajst-9125	48	18	youdong	youdong	PROPN
ajst-9125	48	19	.	.	PUNCT
ajst-9125	49	1	fruit	fruit	NOUN
ajst-9125	49	2	freshness	freshness	NOUN
ajst-9125	49	3	detection	detection	NOUN
ajst-9125	49	4	based	base	VERB
ajst-9125	49	5	on	on	ADP
ajst-9125	49	6	hyperspectral	hyperspectral	ADJ
ajst-9125	49	7	technology	technology	NOUN
ajst-9125	49	8	feasibility	feasibility	NOUN
ajst-9125	49	9	study	study	NOUN
ajst-9125	50	1	[	[	X
ajst-9125	50	2	j	j	X
ajst-9125	50	3	]	]	X
ajst-9125	50	4	.	.	PUNCT
ajst-9125	51	1	journal	journal	PROPN
ajst-9125	51	2	of	of	ADP
ajst-9125	51	3	electronic	electronic	ADJ
ajst-9125	51	4	test	test	NOUN
ajst-9125	51	5	,	,	PUNCT
ajst-9125	51	6	2021	2021	NUM
ajst-9125	51	7	(	(	PUNCT
ajst-9125	51	8	24	24	NUM
ajst-9125	51	9	):	):	PUNCT
ajst-9125	51	10	41	41	NUM
ajst-9125	51	11	-	-	SYM
ajst-9125	51	12	43	43	NUM
ajst-9125	51	13	.	.	PUNCT
ajst-9125	52	1	doi	doi	NOUN
ajst-9125	52	2	:	:	PUNCT
ajst-9125	52	3	10.16520	10.16520	NUM
ajst-9125	52	4	/	/	SYM
ajst-9125	52	5	j.carol	j.carol	PROPN
ajst-9125	52	6	carroll	carroll	PROPN
ajst-9125	52	7	nki	nki	PROPN
ajst-9125	52	8	.	.	PUNCT
ajst-9125	53	1	10008519.2021.24.014	10008519.2021.24.014	X
ajst-9125	53	2	.	.	PUNCT
ajst-9125	54	1	[	[	X
ajst-9125	54	2	2	2	X
ajst-9125	54	3	]	]	X
ajst-9125	54	4	liu	liu	PROPN
ajst-9125	54	5	y	y	PROPN
ajst-9125	54	6	g.	g.	PROPN
ajst-9125	54	7	research	research	PROPN
ajst-9125	54	8	on	on	ADP
ajst-9125	54	9	rapid	rapid	ADJ
ajst-9125	54	10	recognition	recognition	NOUN
ajst-9125	54	11	technology	technology	NOUN
ajst-9125	54	12	of	of	ADP
ajst-9125	54	13	apple	apple	NOUN
ajst-9125	54	14	freshness	freshness	NOUN
ajst-9125	54	15	feature	feature	NOUN
ajst-9125	54	16	based	base	VERB
ajst-9125	54	17	on	on	ADP
ajst-9125	54	18	gas	gas	NOUN
ajst-9125	54	19	sensor	sensor	NOUN
ajst-9125	54	20	array	array	VERB
ajst-9125	54	21	optimization	optimization	NOUN
ajst-9125	55	1	[	[	X
ajst-9125	55	2	d	d	X
ajst-9125	55	3	]	]	X
ajst-9125	55	4	.	.	PUNCT
ajst-9125	56	1	north	north	PROPN
ajst-9125	56	2	central	central	PROPN
ajst-9125	56	3	university	university	NOUN
ajst-9125	56	4	,	,	PUNCT
ajst-9125	56	5	2021	2021	NUM
ajst-9125	56	6	.	.	PUNCT
ajst-9125	57	1	doi	doi	NOUN
ajst-9125	57	2	:	:	PUNCT
ajst-9125	57	3	10.27470	10.27470	NUM
ajst-9125	57	4	/	/	SYM
ajst-9125	57	5	,	,	PUNCT
ajst-9125	57	6	dc	dc	PROPN
ajst-9125	57	7	nki	nki	PROPN
ajst-9125	57	8	.	.	PUNCT
ajst-9125	58	1	ghbgc	ghbgc	PROPN
ajst-9125	58	2	.	.	PUNCT
ajst-9125	59	1	2021.000587	2021.000587	ADJ
ajst-9125	59	2	.	.	PUNCT
ajst-9125	60	1	[	[	X
ajst-9125	60	2	3	3	NUM
ajst-9125	60	3	]	]	X
ajst-9125	60	4	xiao	xiao	PROPN
ajst-9125	60	5	pengcheng	pengcheng	PROPN
ajst-9125	60	6	,	,	PUNCT
ajst-9125	60	7	xu	xu	PROPN
ajst-9125	60	8	wenguang	wenguang	PROPN
ajst-9125	60	9	,	,	PUNCT
ajst-9125	60	10	zhang	zhang	PROPN
ajst-9125	60	11	yan	yan	PROPN
ajst-9125	60	12	,	,	PUNCT
ajst-9125	60	13	zhu	zhu	PROPN
ajst-9125	60	14	liguang	liguang	PROPN
ajst-9125	60	15	,	,	PUNCT
ajst-9125	60	16	zhu	zhu	PROPN
ajst-9125	60	17	rong	rong	PROPN
ajst-9125	60	18	,	,	PUNCT
ajst-9125	60	19	xu	xu	PROPN
ajst-9125	60	20	yunfeng	yunfeng	PROPN
ajst-9125	60	21	.	.	PUNCT
ajst-9125	61	1	scrap	scrap	NOUN
ajst-9125	61	2	classification	classification	NOUN
ajst-9125	61	3	rating	rating	NOUN
ajst-9125	61	4	method	method	NOUN
ajst-9125	61	5	based	base	VERB
ajst-9125	61	6	on	on	ADP
ajst-9125	61	7	se	se	X
ajst-9125	61	8	attention	attention	NOUN
ajst-9125	61	9	mechanism	mechanism	NOUN
ajst-9125	62	1	[	[	X
ajst-9125	62	2	j	j	X
ajst-9125	62	3	]	]	X
ajst-9125	62	4	.	.	PUNCT
ajst-9125	63	1	journal	journal	PROPN
ajst-9125	63	2	of	of	ADP
ajst-9125	63	3	engineering	engineering	NOUN
ajst-9125	63	4	science	science	NOUN
ajst-9125	63	5	,	,	PUNCT
ajst-9125	63	6	2023	2023	NUM
ajst-9125	63	7	,	,	PUNCT
ajst-9125	63	8	(	(	PUNCT
ajst-9125	63	9	8)	8)	NUM
ajst-9125	63	10	:	:	SYM
ajst-9125	63	11	1342	1342	NUM
ajst-9125	63	12	-	-	SYM
ajst-9125	63	13	1352	1352	NUM
ajst-9125	63	14	.	.	PUNCT
ajst-9125	64	1	the	the	DET
ajst-9125	64	2	doi	doi	NOUN
ajst-9125	64	3	:	:	PUNCT
ajst-9125	64	4	10.13374	10.13374	NUM
ajst-9125	64	5	/	/	SYM
ajst-9125	64	6	j.i	j.i	X
ajst-9125	64	7	ssn2095	ssn2095	NOUN
ajst-9125	64	8	-	-	PUNCT
ajst-9125	64	9	9389.2022.06.10.002	9389.2022.06.10.002	NOUN
ajst-9125	64	10	.	.	PUNCT
ajst-9125	65	1	[	[	X
ajst-9125	65	2	4	4	NUM
ajst-9125	65	3	]	]	X
ajst-9125	65	4	yu	yu	PROPN
ajst-9125	65	5	ying	ying	PROPN
ajst-9125	65	6	,	,	PUNCT
ajst-9125	65	7	yang	yang	PROPN
ajst-9125	65	8	tingting	tingting	PROPN
ajst-9125	65	9	,	,	PUNCT
ajst-9125	65	10	yang	yang	PROPN
ajst-9125	65	11	boxiong	boxiong	PROPN
ajst-9125	65	12	.	.	PUNCT
ajst-9125	66	1	performance	performance	NOUN
ajst-9125	66	2	evaluation	evaluation	NOUN
ajst-9125	66	3	and	and	CCONJ
ajst-9125	66	4	python	python	NOUN
ajst-9125	66	5	implementation	implementation	NOUN
ajst-9125	66	6	of	of	ADP
ajst-9125	66	7	confusion	confusion	NOUN
ajst-9125	66	8	matrix	matrix	NOUN
ajst-9125	66	9	classification	classification	NOUN
ajst-9125	67	1	[	[	X
ajst-9125	67	2	j	j	X
ajst-9125	67	3	]	]	X
ajst-9125	67	4	.	.	PUNCT
ajst-9125	68	1	modern	modern	ADJ
ajst-9125	68	2	computers,2021(20):70	computers,2021(20):70	PROPN
ajst-9125	68	3	-	-	PUNCT
ajst-9125	68	4	73	73	NUM
ajst-9125	68	5	+	+	NOUN
ajst-9125	68	6	79	79	NUM
ajst-9125	68	7	.	.	PUNCT