id	sid	tid	token	lemma	pos
brj-23138	1	1	peer	peer	NOUN
brj-23138	1	2	-	-	PUNCT
brj-23138	1	3	review	review	NOUN
brj-23138	1	4	article	article	NOUN
brj-23138	1	5	peer	peer	NOUN
brj-23138	1	6	-	-	PUNCT
brj-23138	1	7	reviewed	review	VERB
brj-23138	1	8	article	article	NOUN
brj-23138	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	1	10	tao	tao	PROPN
brj-23138	1	11	et	et	PROPN
brj-23138	1	12	al	al	PROPN
brj-23138	1	13	.	.	PROPN
brj-23138	2	1	(	(	PUNCT
brj-23138	2	2	2024	2024	NUM
brj-23138	2	3	)	)	PUNCT
brj-23138	2	4	.	.	PUNCT
brj-23138	3	1	“	"	PUNCT
brj-23138	3	2	maize	maize	VERB
brj-23138	3	3	silage	silage	NOUN
brj-23138	3	4	quality	quality	NOUN
brj-23138	3	5	testing	testing	NOUN
brj-23138	3	6	,	,	PUNCT
brj-23138	3	7	”	"	PUNCT
brj-23138	3	8	bioresources	bioresource	NOUN
brj-23138	3	9	19(2	19(2	NUM
brj-23138	3	10	)	)	PUNCT
brj-23138	3	11	,	,	PUNCT
brj-23138	3	12	3597	3597	NUM
brj-23138	3	13	-	-	SYM
brj-23138	3	14	3613	3613	NUM
brj-23138	3	15	.	.	PUNCT
brj-23138	4	1	3597	3597	NUM
brj-23138	4	2	high	high	ADJ
brj-23138	4	3	-	-	PUNCT
brj-23138	4	4	precision	precision	NOUN
brj-23138	4	5	discrimination	discrimination	NOUN
brj-23138	4	6	of	of	ADP
brj-23138	4	7	maize	maize	NOUN
brj-23138	4	8	silage	silage	NOUN
brj-23138	4	9	based	base	VERB
brj-23138	4	10	on	on	ADP
brj-23138	4	11	olfactory	olfactory	ADJ
brj-23138	4	12	visualization	visualization	NOUN
brj-23138	4	13	technology	technology	NOUN
brj-23138	4	14	integrated	integrate	VERB
brj-23138	4	15	with	with	ADP
brj-23138	4	16	chemometrics	chemometric	NOUN
brj-23138	4	17	analysis	analysis	PROPN
brj-23138	4	18	yan	yan	PROPN
brj-23138	4	19	tao	tao	PROPN
brj-23138	4	20	,	,	PUNCT
brj-23138	4	21	haiqing	haiqe	VERB
brj-23138	4	22	tian	tian	PROPN
brj-23138	4	23	,	,	PUNCT
brj-23138	4	24	*	*	PROPN
brj-23138	4	25	kai	kai	PROPN
brj-23138	4	26	zhao	zhao	PROPN
brj-23138	4	27	,	,	PUNCT
brj-23138	4	28	yang	yang	PROPN
brj-23138	4	29	yu	yu	PROPN
brj-23138	4	30	,	,	PUNCT
brj-23138	4	31	li’na	li’na	PROPN
brj-23138	4	32	guo	guo	PROPN
brj-23138	4	33	,	,	PUNCT
brj-23138	4	34	genhao	genhao	PROPN
brj-23138	4	35	liu	liu	PROPN
brj-23138	4	36	,	,	PUNCT
brj-23138	4	37	and	and	CCONJ
brj-23138	4	38	xin	xin	PROPN
brj-23138	4	39	bai	bai	PROPN
brj-23138	4	40	rapid	rapid	ADJ
brj-23138	4	41	,	,	PUNCT
brj-23138	4	42	reliable	reliable	ADJ
brj-23138	4	43	and	and	CCONJ
brj-23138	4	44	non	non	ADJ
brj-23138	4	45	-	-	ADJ
brj-23138	4	46	destructive	destructive	ADJ
brj-23138	4	47	detection	detection	NOUN
brj-23138	4	48	of	of	ADP
brj-23138	4	49	the	the	DET
brj-23138	4	50	quality	quality	NOUN
brj-23138	4	51	of	of	ADP
brj-23138	4	52	maize	maize	NOUN
brj-23138	4	53	silage	silage	NOUN
brj-23138	4	54	is	be	AUX
brj-23138	4	55	essential	essential	ADJ
brj-23138	4	56	to	to	ADP
brj-23138	4	57	high	high	ADJ
brj-23138	4	58	-	-	PUNCT
brj-23138	4	59	efficiency	efficiency	NOUN
brj-23138	4	60	animal	animal	NOUN
brj-23138	4	61	husbandry	husbandry	NOUN
brj-23138	4	62	and	and	CCONJ
brj-23138	4	63	food	food	NOUN
brj-23138	4	64	safety	safety	NOUN
brj-23138	4	65	.	.	PUNCT
brj-23138	5	1	in	in	ADP
brj-23138	5	2	this	this	DET
brj-23138	5	3	study	study	NOUN
brj-23138	5	4	,	,	PUNCT
brj-23138	5	5	the	the	DET
brj-23138	5	6	colorimetric	colorimetric	ADJ
brj-23138	5	7	sensor	sensor	NOUN
brj-23138	5	8	array	array	NOUN
brj-23138	5	9	(	(	PUNCT
brj-23138	5	10	csa	csa	PROPN
brj-23138	5	11	)	)	PUNCT
brj-23138	5	12	integrated	integrate	VERB
brj-23138	5	13	with	with	ADP
brj-23138	5	14	chemometric	chemometric	ADJ
brj-23138	5	15	methods	method	NOUN
brj-23138	5	16	is	be	AUX
brj-23138	5	17	innovatively	innovatively	ADV
brj-23138	5	18	proposed	propose	VERB
brj-23138	5	19	for	for	ADP
brj-23138	5	20	qualitative	qualitative	ADJ
brj-23138	5	21	discrimination	discrimination	NOUN
brj-23138	5	22	of	of	ADP
brj-23138	5	23	maize	maize	NOUN
brj-23138	5	24	silage	silage	NOUN
brj-23138	5	25	.	.	PUNCT
brj-23138	6	1	first	first	ADV
brj-23138	6	2	,	,	PUNCT
brj-23138	6	3	12	12	NUM
brj-23138	6	4	color	color	NOUN
brj-23138	6	5	-	-	PUNCT
brj-23138	6	6	sensitive	sensitive	ADJ
brj-23138	6	7	dyes	dye	NOUN
brj-23138	6	8	were	be	AUX
brj-23138	6	9	selected	select	VERB
brj-23138	6	10	to	to	PART
brj-23138	6	11	fabricate	fabricate	VERB
brj-23138	6	12	colorimetric	colorimetric	ADJ
brj-23138	6	13	sensor	sensor	NOUN
brj-23138	6	14	arrays	array	VERB
brj-23138	6	15	to	to	PART
brj-23138	6	16	be	be	AUX
brj-23138	6	17	used	use	VERB
brj-23138	6	18	as	as	ADP
brj-23138	6	19	artificial	artificial	ADJ
brj-23138	6	20	olfactory	olfactory	ADJ
brj-23138	6	21	sensors	sensor	NOUN
brj-23138	6	22	for	for	ADP
brj-23138	6	23	obtaining	obtain	VERB
brj-23138	6	24	odor	odor	NOUN
brj-23138	6	25	fingerprints	fingerprint	NOUN
brj-23138	6	26	of	of	ADP
brj-23138	6	27	maize	maize	NOUN
brj-23138	6	28	silage	silage	NOUN
brj-23138	6	29	.	.	PUNCT
brj-23138	7	1	machine	machine	NOUN
brj-23138	7	2	vision	vision	NOUN
brj-23138	7	3	algorithms	algorithm	NOUN
brj-23138	7	4	were	be	AUX
brj-23138	7	5	utilized	utilize	VERB
brj-23138	7	6	to	to	PART
brj-23138	7	7	extract	extract	VERB
brj-23138	7	8	the	the	DET
brj-23138	7	9	color	color	NOUN
brj-23138	7	10	features	feature	NOUN
brj-23138	7	11	,	,	PUNCT
brj-23138	7	12	and	and	CCONJ
brj-23138	7	13	principal	principal	ADJ
brj-23138	7	14	component	component	NOUN
brj-23138	7	15	analysis	analysis	NOUN
brj-23138	7	16	was	be	AUX
brj-23138	7	17	applied	apply	VERB
brj-23138	7	18	to	to	PART
brj-23138	7	19	reduce	reduce	VERB
brj-23138	7	20	the	the	DET
brj-23138	7	21	dimensionality	dimensionality	NOUN
brj-23138	7	22	of	of	ADP
brj-23138	7	23	the	the	DET
brj-23138	7	24	obtained	obtain	VERB
brj-23138	7	25	data	datum	NOUN
brj-23138	7	26	.	.	PUNCT
brj-23138	8	1	finally	finally	ADV
brj-23138	8	2	,	,	PUNCT
brj-23138	8	3	the	the	DET
brj-23138	8	4	pca	pca	NOUN
brj-23138	8	5	results	result	NOUN
brj-23138	8	6	were	be	AUX
brj-23138	8	7	input	input	ADJ
brj-23138	8	8	variables	variable	NOUN
brj-23138	8	9	to	to	PART
brj-23138	8	10	develop	develop	VERB
brj-23138	8	11	different	different	ADJ
brj-23138	8	12	qualitative	qualitative	ADJ
brj-23138	8	13	discrimination	discrimination	NOUN
brj-23138	8	14	models	model	NOUN
brj-23138	8	15	.	.	PUNCT
brj-23138	9	1	these	these	DET
brj-23138	9	2	models	model	NOUN
brj-23138	9	3	involve	involve	VERB
brj-23138	9	4	support	support	NOUN
brj-23138	9	5	vector	vector	NOUN
brj-23138	9	6	machines	machine	NOUN
brj-23138	9	7	(	(	PUNCT
brj-23138	9	8	svm	svm	PROPN
brj-23138	9	9	)	)	PUNCT
brj-23138	9	10	,	,	PUNCT
brj-23138	9	11	extreme	extreme	ADJ
brj-23138	9	12	learning	learning	NOUN
brj-23138	9	13	machine	machine	NOUN
brj-23138	9	14	(	(	PUNCT
brj-23138	9	15	elm	elm	PROPN
brj-23138	9	16	)	)	PUNCT
brj-23138	9	17	,	,	PUNCT
brj-23138	9	18	and	and	CCONJ
brj-23138	9	19	random	random	ADJ
brj-23138	9	20	forest	forest	NOUN
brj-23138	9	21	(	(	PUNCT
brj-23138	9	22	rf	rf	NOUN
brj-23138	9	23	)	)	PUNCT
brj-23138	9	24	.	.	PUNCT
brj-23138	10	1	the	the	DET
brj-23138	10	2	analysis	analysis	NOUN
brj-23138	10	3	results	result	NOUN
brj-23138	10	4	show	show	VERB
brj-23138	10	5	the	the	DET
brj-23138	10	6	100	100	NUM
brj-23138	10	7	%	%	NOUN
brj-23138	10	8	correct	correct	ADJ
brj-23138	10	9	identification	identification	NOUN
brj-23138	10	10	rate	rate	NOUN
brj-23138	10	11	for	for	ADP
brj-23138	10	12	independent	independent	ADJ
brj-23138	10	13	samples	sample	NOUN
brj-23138	10	14	.	.	PUNCT
brj-23138	11	1	the	the	DET
brj-23138	11	2	general	general	ADJ
brj-23138	11	3	results	result	NOUN
brj-23138	11	4	sufficiently	sufficiently	ADV
brj-23138	11	5	reveal	reveal	VERB
brj-23138	11	6	that	that	SCONJ
brj-23138	11	7	olfactory	olfactory	ADJ
brj-23138	11	8	visualization	visualization	NOUN
brj-23138	11	9	technology	technology	NOUN
brj-23138	11	10	integrated	integrate	VERB
brj-23138	11	11	with	with	ADP
brj-23138	11	12	chemometrics	chemometric	NOUN
brj-23138	11	13	analysis	analysis	NOUN
brj-23138	11	14	has	have	AUX
brj-23138	11	15	promising	promise	VERB
brj-23138	11	16	applications	application	NOUN
brj-23138	11	17	for	for	ADP
brj-23138	11	18	high	high	ADJ
brj-23138	11	19	-	-	PUNCT
brj-23138	11	20	precision	precision	NOUN
brj-23138	11	21	discrimination	discrimination	NOUN
brj-23138	11	22	of	of	ADP
brj-23138	11	23	maize	maize	NOUN
brj-23138	11	24	silage	silage	NOUN
brj-23138	11	25	.	.	PUNCT
brj-23138	12	1	doi	doi	NOUN
brj-23138	12	2	:	:	PUNCT
brj-23138	12	3	10.15376	10.15376	NUM
brj-23138	12	4	/	/	SYM
brj-23138	12	5	biores.19.2.3597	biores.19.2.3597	NOUN
brj-23138	12	6	-	-	SYM
brj-23138	12	7	3613	3613	NUM
brj-23138	12	8	keywords	keyword	NOUN
brj-23138	12	9	:	:	PUNCT
brj-23138	12	10	maize	maize	NOUN
brj-23138	12	11	silage	silage	NOUN
brj-23138	12	12	;	;	PUNCT
brj-23138	12	13	olfactory	olfactory	ADJ
brj-23138	12	14	visualization	visualization	NOUN
brj-23138	12	15	;	;	PUNCT
brj-23138	12	16	colorimetric	colorimetric	ADJ
brj-23138	12	17	sensors	sensor	NOUN
brj-23138	12	18	array	array	VERB
brj-23138	12	19	;	;	PUNCT
brj-23138	12	20	qualitative	qualitative	ADJ
brj-23138	12	21	discrimination	discrimination	NOUN
brj-23138	12	22	contact	contact	NOUN
brj-23138	12	23	information	information	NOUN
brj-23138	12	24	:	:	PUNCT
brj-23138	12	25	college	college	NOUN
brj-23138	12	26	of	of	ADP
brj-23138	12	27	mechanical	mechanical	ADJ
brj-23138	12	28	and	and	CCONJ
brj-23138	12	29	electrical	electrical	ADJ
brj-23138	12	30	engineering	engineering	NOUN
brj-23138	12	31	,	,	PUNCT
brj-23138	12	32	inner	inner	PROPN
brj-23138	12	33	mongolia	mongolia	PROPN
brj-23138	12	34	agricultural	agricultural	PROPN
brj-23138	12	35	university	university	PROPN
brj-23138	12	36	,	,	PUNCT
brj-23138	12	37	hohhot	hohhot	ADJ
brj-23138	12	38	,	,	PUNCT
brj-23138	12	39	pr	pr	NOUN
brj-23138	12	40	china	china	PROPN
brj-23138	12	41	;	;	PUNCT
brj-23138	13	1	⁎corresponding	⁎corresponde	VERB
brj-23138	13	2	authors	author	NOUN
brj-23138	13	3	.	.	PUNCT
brj-23138	14	1	e	e	X
brj-23138	14	2	-	-	NOUN
brj-23138	14	3	mail	mail	NOUN
brj-23138	14	4	:	:	PUNCT
brj-23138	14	5	hqtian@126.com	hqtian@126.com	PROPN
brj-23138	14	6	introduction	introduction	NOUN
brj-23138	14	7	maize	maize	NOUN
brj-23138	14	8	silage	silage	NOUN
brj-23138	14	9	has	have	AUX
brj-23138	14	10	been	be	AUX
brj-23138	14	11	one	one	NUM
brj-23138	14	12	of	of	ADP
brj-23138	14	13	the	the	DET
brj-23138	14	14	most	most	ADV
brj-23138	14	15	widespread	widespread	ADJ
brj-23138	14	16	feeds	feed	NOUN
brj-23138	14	17	in	in	ADP
brj-23138	14	18	ruminant	ruminant	NOUN
brj-23138	14	19	diets	diet	NOUN
brj-23138	14	20	in	in	ADP
brj-23138	14	21	most	most	ADJ
brj-23138	14	22	regions	region	NOUN
brj-23138	14	23	worldwide	worldwide	ADV
brj-23138	14	24	(	(	PUNCT
brj-23138	14	25	garcia	garcia	PROPN
brj-23138	14	26	-	-	PUNCT
brj-23138	14	27	chavez	chavez	PROPN
brj-23138	14	28	et	et	PROPN
brj-23138	14	29	al	al	PROPN
brj-23138	14	30	.	.	PROPN
brj-23138	14	31	2022	2022	NUM
brj-23138	14	32	)	)	PUNCT
brj-23138	14	33	.	.	PUNCT
brj-23138	15	1	since	since	SCONJ
brj-23138	15	2	it	it	PRON
brj-23138	15	3	is	be	AUX
brj-23138	15	4	productive	productive	ADJ
brj-23138	15	5	,	,	PUNCT
brj-23138	15	6	nutritious	nutritious	ADJ
brj-23138	15	7	and	and	CCONJ
brj-23138	15	8	storable	storable	ADJ
brj-23138	15	9	,	,	PUNCT
brj-23138	15	10	it	it	PRON
brj-23138	15	11	is	be	AUX
brj-23138	15	12	generally	generally	ADV
brj-23138	15	13	utilized	utilize	VERB
brj-23138	15	14	as	as	ADP
brj-23138	15	15	the	the	DET
brj-23138	15	16	primary	primary	ADJ
brj-23138	15	17	roughage	roughage	NOUN
brj-23138	15	18	ingredient	ingredient	NOUN
brj-23138	15	19	in	in	ADP
brj-23138	15	20	total	total	ADJ
brj-23138	15	21	mixed	mixed	ADJ
brj-23138	15	22	rations	ration	NOUN
brj-23138	15	23	(	(	PUNCT
brj-23138	15	24	tharangani	tharangani	PROPN
brj-23138	15	25	et	et	PROPN
brj-23138	15	26	al	al	PROPN
brj-23138	15	27	.	.	PROPN
brj-23138	15	28	2021	2021	NUM
brj-23138	15	29	)	)	PUNCT
brj-23138	15	30	.	.	PUNCT
brj-23138	16	1	however	however	ADV
brj-23138	16	2	,	,	PUNCT
brj-23138	16	3	various	various	ADJ
brj-23138	16	4	factors	factor	NOUN
brj-23138	16	5	,	,	PUNCT
brj-23138	16	6	such	such	ADJ
brj-23138	16	7	as	as	ADP
brj-23138	16	8	transportation	transportation	NOUN
brj-23138	16	9	and	and	CCONJ
brj-23138	16	10	storage	storage	NOUN
brj-23138	16	11	,	,	PUNCT
brj-23138	16	12	can	can	AUX
brj-23138	16	13	lead	lead	VERB
brj-23138	16	14	to	to	ADP
brj-23138	16	15	the	the	DET
brj-23138	16	16	deterioration	deterioration	NOUN
brj-23138	16	17	of	of	ADP
brj-23138	16	18	maize	maize	NOUN
brj-23138	16	19	silage	silage	NOUN
brj-23138	16	20	during	during	ADP
brj-23138	16	21	production	production	NOUN
brj-23138	16	22	.	.	PUNCT
brj-23138	17	1	it	it	PRON
brj-23138	17	2	not	not	PART
brj-23138	17	3	only	only	ADV
brj-23138	17	4	degrades	degrade	VERB
brj-23138	17	5	the	the	DET
brj-23138	17	6	nutritional	nutritional	ADJ
brj-23138	17	7	value	value	NOUN
brj-23138	17	8	and	and	CCONJ
brj-23138	17	9	production	production	NOUN
brj-23138	17	10	performance	performance	NOUN
brj-23138	17	11	of	of	ADP
brj-23138	17	12	ruminants	ruminant	NOUN
brj-23138	17	13	but	but	CCONJ
brj-23138	17	14	even	even	ADV
brj-23138	17	15	jeopardizes	jeopardize	VERB
brj-23138	17	16	the	the	DET
brj-23138	17	17	health	health	NOUN
brj-23138	17	18	of	of	ADP
brj-23138	17	19	consumers	consumer	NOUN
brj-23138	17	20	(	(	PUNCT
brj-23138	17	21	khan	khan	PROPN
brj-23138	17	22	et	et	PROPN
brj-23138	17	23	al	al	PROPN
brj-23138	17	24	.	.	PROPN
brj-23138	17	25	2015	2015	NUM
brj-23138	17	26	;	;	PUNCT
brj-23138	17	27	borreani	borreani	PROPN
brj-23138	17	28	et	et	PROPN
brj-23138	17	29	al	al	PROPN
brj-23138	17	30	.	.	PROPN
brj-23138	17	31	2018	2018	NUM
brj-23138	17	32	;	;	PUNCT
brj-23138	17	33	serva	serva	PROPN
brj-23138	17	34	et	et	PROPN
brj-23138	17	35	al	al	PROPN
brj-23138	17	36	.	.	PROPN
brj-23138	17	37	2023	2023	NUM
brj-23138	17	38	)	)	PUNCT
brj-23138	17	39	.	.	PUNCT
brj-23138	18	1	currently	currently	ADV
brj-23138	18	2	,	,	PUNCT
brj-23138	18	3	the	the	DET
brj-23138	18	4	major	major	ADJ
brj-23138	18	5	quality	quality	NOUN
brj-23138	18	6	evaluation	evaluation	NOUN
brj-23138	18	7	methods	method	NOUN
brj-23138	18	8	for	for	ADP
brj-23138	18	9	maize	maize	NOUN
brj-23138	18	10	silage	silage	NOUN
brj-23138	18	11	are	be	AUX
brj-23138	18	12	the	the	DET
brj-23138	18	13	sensory	sensory	ADJ
brj-23138	18	14	evaluation	evaluation	NOUN
brj-23138	18	15	method	method	NOUN
brj-23138	18	16	and	and	CCONJ
brj-23138	18	17	laboratory	laboratory	NOUN
brj-23138	18	18	detection	detection	NOUN
brj-23138	18	19	analysis	analysis	NOUN
brj-23138	18	20	method	method	NOUN
brj-23138	18	21	.	.	PUNCT
brj-23138	19	1	the	the	DET
brj-23138	19	2	sensory	sensory	ADJ
brj-23138	19	3	evaluation	evaluation	NOUN
brj-23138	19	4	method	method	NOUN
brj-23138	19	5	is	be	AUX
brj-23138	19	6	intuitive	intuitive	ADJ
brj-23138	19	7	and	and	CCONJ
brj-23138	19	8	convenient	convenient	ADJ
brj-23138	19	9	,	,	PUNCT
brj-23138	19	10	but	but	CCONJ
brj-23138	19	11	the	the	DET
brj-23138	19	12	evaluation	evaluation	NOUN
brj-23138	19	13	results	result	NOUN
brj-23138	19	14	are	be	AUX
brj-23138	19	15	highly	highly	ADV
brj-23138	19	16	subjective	subjective	ADJ
brj-23138	19	17	,	,	PUNCT
brj-23138	19	18	which	which	PRON
brj-23138	19	19	may	may	AUX
brj-23138	19	20	have	have	VERB
brj-23138	19	21	certain	certain	ADJ
brj-23138	19	22	bias	bias	NOUN
brj-23138	19	23	(	(	PUNCT
brj-23138	19	24	tuorila	tuorila	NOUN
brj-23138	19	25	2015	2015	NUM
brj-23138	19	26	)	)	PUNCT
brj-23138	19	27	.	.	PUNCT
brj-23138	20	1	laboratory	laboratory	NOUN
brj-23138	20	2	detection	detection	NOUN
brj-23138	20	3	analysis	analysis	NOUN
brj-23138	20	4	method	method	NOUN
brj-23138	20	5	generally	generally	ADV
brj-23138	20	6	relies	rely	VERB
brj-23138	20	7	on	on	ADP
brj-23138	20	8	the	the	DET
brj-23138	20	9	accurate	accurate	ADJ
brj-23138	20	10	determination	determination	NOUN
brj-23138	20	11	of	of	ADP
brj-23138	20	12	ph	ph	ADJ
brj-23138	20	13	,	,	PUNCT
brj-23138	20	14	organic	organic	ADJ
brj-23138	20	15	acid	acid	NOUN
brj-23138	20	16	,	,	PUNCT
brj-23138	20	17	and	and	CCONJ
brj-23138	20	18	ammoniacal	ammoniacal	ADJ
brj-23138	20	19	nitrogen	nitrogen	NOUN
brj-23138	20	20	,	,	PUNCT
brj-23138	20	21	etc	etc	X
brj-23138	20	22	.	.	X
brj-23138	20	23	,	,	PUNCT
brj-23138	20	24	in	in	ADP
brj-23138	20	25	maize	maize	NOUN
brj-23138	20	26	silage	silage	NOUN
brj-23138	20	27	to	to	PART
brj-23138	20	28	evaluate	evaluate	VERB
brj-23138	20	29	its	its	PRON
brj-23138	20	30	quality	quality	NOUN
brj-23138	20	31	(	(	PUNCT
brj-23138	20	32	ávila	ávila	PROPN
brj-23138	20	33	and	and	CCONJ
brj-23138	20	34	carvalho	carvalho	NOUN
brj-23138	20	35	2020	2020	NUM
brj-23138	20	36	)	)	PUNCT
brj-23138	20	37	,	,	PUNCT
brj-23138	20	38	such	such	ADJ
brj-23138	20	39	as	as	ADP
brj-23138	20	40	gas	gas	NOUN
brj-23138	20	41	chromatography	chromatography	NOUN
brj-23138	20	42	-	-	PUNCT
brj-23138	20	43	mass	mass	NOUN
brj-23138	20	44	spectrometry	spectrometry	NOUN
brj-23138	20	45	(	(	PUNCT
brj-23138	20	46	gc	gc	PROPN
brj-23138	20	47	-	-	PUNCT
brj-23138	20	48	ms	ms	NOUN
brj-23138	20	49	)	)	PUNCT
brj-23138	20	50	,	,	PUNCT
brj-23138	20	51	kjeldahl	kjeldahl	PROPN
brj-23138	20	52	nitrogen	nitrogen	NOUN
brj-23138	20	53	determination	determination	NOUN
brj-23138	20	54	,	,	PUNCT
brj-23138	20	55	and	and	CCONJ
brj-23138	20	56	highperformance	highperformance	NOUN
brj-23138	20	57	liquid	liquid	ADJ
brj-23138	20	58	chromatography	chromatography	NOUN
brj-23138	20	59	(	(	PUNCT
brj-23138	20	60	hplc	hplc	PROPN
brj-23138	20	61	)	)	PUNCT
brj-23138	20	62	(	(	PUNCT
brj-23138	20	63	kayacelebi	kayacelebi	PROPN
brj-23138	20	64	et	et	PROPN
brj-23138	20	65	al	al	PROPN
brj-23138	20	66	.	.	PROPN
brj-23138	20	67	2014	2014	NUM
brj-23138	20	68	;	;	PUNCT
brj-23138	20	69	dou	dou	X
brj-23138	20	70	et	et	PROPN
brj-23138	20	71	al	al	PROPN
brj-23138	20	72	.	.	PROPN
brj-23138	20	73	2022	2022	NUM
brj-23138	20	74	)	)	PUNCT
brj-23138	20	75	.	.	PUNCT
brj-23138	21	1	peer	peer	NOUN
brj-23138	21	2	-	-	PUNCT
brj-23138	21	3	reviewed	review	VERB
brj-23138	21	4	article	article	NOUN
brj-23138	21	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	21	6	tao	tao	PROPN
brj-23138	21	7	et	et	PROPN
brj-23138	21	8	al	al	PROPN
brj-23138	21	9	.	.	PROPN
brj-23138	22	1	(	(	PUNCT
brj-23138	22	2	2024	2024	NUM
brj-23138	22	3	)	)	PUNCT
brj-23138	22	4	.	.	PUNCT
brj-23138	23	1	“	"	PUNCT
brj-23138	23	2	maize	maize	VERB
brj-23138	23	3	silage	silage	NOUN
brj-23138	23	4	quality	quality	NOUN
brj-23138	23	5	testing	testing	NOUN
brj-23138	23	6	,	,	PUNCT
brj-23138	23	7	”	"	PUNCT
brj-23138	23	8	bioresources	bioresource	NOUN
brj-23138	23	9	19(2	19(2	NUM
brj-23138	23	10	)	)	PUNCT
brj-23138	23	11	,	,	PUNCT
brj-23138	23	12	3597	3597	NUM
brj-23138	23	13	-	-	SYM
brj-23138	23	14	3613	3613	NUM
brj-23138	23	15	.	.	PUNCT
brj-23138	23	16	3598	3598	NUM
brj-23138	23	17	although	although	SCONJ
brj-23138	23	18	these	these	DET
brj-23138	23	19	methods	method	NOUN
brj-23138	23	20	can	can	AUX
brj-23138	23	21	provide	provide	VERB
brj-23138	23	22	accurate	accurate	ADJ
brj-23138	23	23	and	and	CCONJ
brj-23138	23	24	reliable	reliable	ADJ
brj-23138	23	25	results	result	NOUN
brj-23138	23	26	,	,	PUNCT
brj-23138	23	27	they	they	PRON
brj-23138	23	28	have	have	VERB
brj-23138	23	29	the	the	DET
brj-23138	23	30	drawbacks	drawback	NOUN
brj-23138	23	31	of	of	ADP
brj-23138	23	32	being	be	AUX
brj-23138	23	33	destructive	destructive	ADJ
brj-23138	23	34	,	,	PUNCT
brj-23138	23	35	requiring	require	VERB
brj-23138	23	36	a	a	DET
brj-23138	23	37	long	long	ADJ
brj-23138	23	38	time	time	NOUN
brj-23138	23	39	,	,	PUNCT
brj-23138	23	40	and	and	CCONJ
brj-23138	23	41	high	high	ADJ
brj-23138	23	42	in	in	ADP
brj-23138	23	43	cost	cost	NOUN
brj-23138	23	44	.	.	PUNCT
brj-23138	24	1	in	in	ADP
brj-23138	24	2	addition	addition	NOUN
brj-23138	24	3	,	,	PUNCT
brj-23138	24	4	the	the	DET
brj-23138	24	5	electronic	electronic	ADJ
brj-23138	24	6	nose	nose	NOUN
brj-23138	24	7	technique	technique	NOUN
brj-23138	24	8	,	,	PUNCT
brj-23138	24	9	although	although	SCONJ
brj-23138	24	10	it	it	PRON
brj-23138	24	11	can	can	AUX
brj-23138	24	12	detect	detect	VERB
brj-23138	24	13	the	the	DET
brj-23138	24	14	odor	odor	NOUN
brj-23138	24	15	components	component	NOUN
brj-23138	24	16	of	of	ADP
brj-23138	24	17	the	the	DET
brj-23138	24	18	object	object	NOUN
brj-23138	24	19	to	to	PART
brj-23138	24	20	be	be	AUX
brj-23138	24	21	measured	measure	VERB
brj-23138	24	22	and	and	CCONJ
brj-23138	24	23	provide	provide	VERB
brj-23138	24	24	a	a	DET
brj-23138	24	25	new	new	ADJ
brj-23138	24	26	direction	direction	NOUN
brj-23138	24	27	for	for	ADP
brj-23138	24	28	silage	silage	NOUN
brj-23138	24	29	corn	corn	NOUN
brj-23138	24	30	feed	feed	NOUN
brj-23138	24	31	quality	quality	NOUN
brj-23138	24	32	assessment	assessment	NOUN
brj-23138	24	33	,	,	PUNCT
brj-23138	24	34	the	the	DET
brj-23138	24	35	electronic	electronic	ADJ
brj-23138	24	36	nose	nose	NOUN
brj-23138	24	37	instrument	instrument	NOUN
brj-23138	24	38	is	be	AUX
brj-23138	24	39	expensive	expensive	ADJ
brj-23138	24	40	and	and	CCONJ
brj-23138	24	41	the	the	DET
brj-23138	24	42	technique	technique	NOUN
brj-23138	24	43	mainly	mainly	ADV
brj-23138	24	44	relies	rely	VERB
brj-23138	24	45	on	on	ADP
brj-23138	24	46	the	the	DET
brj-23138	24	47	weak	weak	ADJ
brj-23138	24	48	van	van	PROPN
brj-23138	24	49	der	der	NOUN
brj-23138	24	50	waals	waal	NOUN
brj-23138	24	51	force	force	VERB
brj-23138	24	52	to	to	PART
brj-23138	24	53	capture	capture	VERB
brj-23138	24	54	the	the	DET
brj-23138	24	55	odor	odor	NOUN
brj-23138	24	56	,	,	PUNCT
brj-23138	24	57	which	which	PRON
brj-23138	24	58	is	be	AUX
brj-23138	24	59	susceptible	susceptible	ADJ
brj-23138	24	60	to	to	ADP
brj-23138	24	61	environmental	environmental	ADJ
brj-23138	24	62	factors	factor	NOUN
brj-23138	24	63	such	such	ADJ
brj-23138	24	64	as	as	ADP
brj-23138	24	65	temperature	temperature	NOUN
brj-23138	24	66	and	and	CCONJ
brj-23138	24	67	humidity	humidity	NOUN
brj-23138	24	68	,	,	PUNCT
brj-23138	24	69	greatly	greatly	ADV
brj-23138	24	70	affecting	affect	VERB
brj-23138	24	71	the	the	DET
brj-23138	24	72	detection	detection	NOUN
brj-23138	24	73	accuracy(wojnowski	accuracy(wojnowski	PROPN
brj-23138	24	74	et	et	PROPN
brj-23138	24	75	al	al	PROPN
brj-23138	24	76	.	.	PROPN
brj-23138	24	77	2017	2017	NUM
brj-23138	24	78	)	)	PUNCT
brj-23138	24	79	.	.	PUNCT
brj-23138	25	1	therefore	therefore	ADV
brj-23138	25	2	,	,	PUNCT
brj-23138	25	3	it	it	PRON
brj-23138	25	4	is	be	AUX
brj-23138	25	5	essential	essential	ADJ
brj-23138	25	6	to	to	PART
brj-23138	25	7	develop	develop	VERB
brj-23138	25	8	a	a	DET
brj-23138	25	9	fast	fast	ADJ
brj-23138	25	10	,	,	PUNCT
brj-23138	25	11	reliable	reliable	ADJ
brj-23138	25	12	and	and	CCONJ
brj-23138	25	13	non	non	ADJ
brj-23138	25	14	-	-	ADJ
brj-23138	25	15	destructive	destructive	ADJ
brj-23138	25	16	method	method	NOUN
brj-23138	25	17	for	for	ADP
brj-23138	25	18	silage	silage	NOUN
brj-23138	25	19	quality	quality	NOUN
brj-23138	25	20	assessment	assessment	NOUN
brj-23138	25	21	to	to	PART
brj-23138	25	22	materialize	materialize	VERB
brj-23138	25	23	efficient	efficient	ADJ
brj-23138	25	24	animal	animal	NOUN
brj-23138	25	25	husbandry	husbandry	NOUN
brj-23138	25	26	and	and	CCONJ
brj-23138	25	27	food	food	NOUN
brj-23138	25	28	security	security	NOUN
brj-23138	25	29	.	.	PUNCT
brj-23138	26	1	the	the	DET
brj-23138	26	2	olfactory	olfactory	ADJ
brj-23138	26	3	visualization	visualization	NOUN
brj-23138	26	4	technology	technology	NOUN
brj-23138	26	5	is	be	AUX
brj-23138	26	6	a	a	DET
brj-23138	26	7	novel	novel	ADJ
brj-23138	26	8	electronic	electronic	ADJ
brj-23138	26	9	nose	nose	NOUN
brj-23138	26	10	technology	technology	NOUN
brj-23138	26	11	established	establish	VERB
brj-23138	26	12	by	by	ADP
brj-23138	26	13	mimicking	mimic	VERB
brj-23138	26	14	the	the	DET
brj-23138	26	15	mammalian	mammalian	ADJ
brj-23138	26	16	olfactory	olfactory	NOUN
brj-23138	26	17	system	system	NOUN
brj-23138	26	18	.	.	PUNCT
brj-23138	27	1	this	this	DET
brj-23138	27	2	technology	technology	NOUN
brj-23138	27	3	is	be	AUX
brj-23138	27	4	implemented	implement	VERB
brj-23138	27	5	through	through	ADP
brj-23138	27	6	the	the	DET
brj-23138	27	7	cross	cross	NOUN
brj-23138	27	8	-	-	NOUN
brj-23138	27	9	reaction	reaction	NOUN
brj-23138	27	10	between	between	ADP
brj-23138	27	11	the	the	DET
brj-23138	27	12	gas	gas	NOUN
brj-23138	27	13	-	-	PUNCT
brj-23138	27	14	sensitive	sensitive	ADJ
brj-23138	27	15	colorimetric	colorimetric	ADJ
brj-23138	27	16	dyes	dye	NOUN
brj-23138	27	17	on	on	ADP
brj-23138	27	18	the	the	DET
brj-23138	27	19	colorimetric	colorimetric	ADJ
brj-23138	27	20	sensor	sensor	NOUN
brj-23138	27	21	array	array	NOUN
brj-23138	27	22	(	(	PUNCT
brj-23138	27	23	csa	csa	PROPN
brj-23138	27	24	)	)	PUNCT
brj-23138	27	25	and	and	CCONJ
brj-23138	27	26	the	the	DET
brj-23138	27	27	volatile	volatile	ADJ
brj-23138	27	28	organic	organic	ADJ
brj-23138	27	29	compounds	compound	NOUN
brj-23138	27	30	of	of	ADP
brj-23138	27	31	the	the	DET
brj-23138	27	32	substance	substance	NOUN
brj-23138	27	33	for	for	ADP
brj-23138	27	34	measurement	measurement	NOUN
brj-23138	27	35	.	.	PUNCT
brj-23138	28	1	the	the	DET
brj-23138	28	2	sensor	sensor	NOUN
brj-23138	28	3	array	array	VERB
brj-23138	28	4	image	image	NOUN
brj-23138	28	5	after	after	SCONJ
brj-23138	28	6	the	the	DET
brj-23138	28	7	reaction	reaction	NOUN
brj-23138	28	8	carries	carry	VERB
brj-23138	28	9	the	the	DET
brj-23138	28	10	information	information	NOUN
brj-23138	28	11	of	of	ADP
brj-23138	28	12	the	the	DET
brj-23138	28	13	analyte	analyte	NOUN
brj-23138	28	14	,	,	PUNCT
brj-23138	28	15	and	and	CCONJ
brj-23138	28	16	qualitative	qualitative	ADJ
brj-23138	28	17	and	and	CCONJ
brj-23138	28	18	quantitative	quantitative	ADJ
brj-23138	28	19	analyses	analysis	NOUN
brj-23138	28	20	of	of	ADP
brj-23138	28	21	the	the	DET
brj-23138	28	22	analyte	analyte	NOUN
brj-23138	28	23	can	can	AUX
brj-23138	28	24	be	be	AUX
brj-23138	28	25	performed	perform	VERB
brj-23138	28	26	in	in	ADP
brj-23138	28	27	accordance	accordance	NOUN
brj-23138	28	28	with	with	ADP
brj-23138	28	29	the	the	DET
brj-23138	28	30	color	color	NOUN
brj-23138	28	31	change	change	NOUN
brj-23138	28	32	of	of	ADP
brj-23138	28	33	the	the	DET
brj-23138	28	34	colorimetric	colorimetric	ADJ
brj-23138	28	35	dyes	dye	NOUN
brj-23138	28	36	before	before	ADV
brj-23138	28	37	and	and	CCONJ
brj-23138	28	38	after	after	ADP
brj-23138	28	39	the	the	DET
brj-23138	28	40	reaction	reaction	NOUN
brj-23138	28	41	(	(	PUNCT
brj-23138	28	42	janzen	janzen	PROPN
brj-23138	28	43	et	et	PROPN
brj-23138	28	44	al	al	PROPN
brj-23138	28	45	.	.	PROPN
brj-23138	28	46	2006	2006	NUM
brj-23138	28	47	)	)	PUNCT
brj-23138	28	48	.	.	PUNCT
brj-23138	29	1	each	each	DET
brj-23138	29	2	colorimetric	colorimetric	ADJ
brj-23138	29	3	dye	dye	NOUN
brj-23138	29	4	can	can	AUX
brj-23138	29	5	react	react	VERB
brj-23138	29	6	with	with	ADP
brj-23138	29	7	different	different	ADJ
brj-23138	29	8	volatile	volatile	ADJ
brj-23138	29	9	gases	gas	NOUN
brj-23138	29	10	.	.	PUNCT
brj-23138	30	1	the	the	DET
brj-23138	30	2	color	color	NOUN
brj-23138	30	3	change	change	NOUN
brj-23138	30	4	caused	cause	VERB
brj-23138	30	5	by	by	ADP
brj-23138	30	6	the	the	DET
brj-23138	30	7	same	same	ADJ
brj-23138	30	8	amount	amount	NOUN
brj-23138	30	9	of	of	ADP
brj-23138	30	10	different	different	ADJ
brj-23138	30	11	volatile	volatile	ADJ
brj-23138	30	12	gases	gas	NOUN
brj-23138	30	13	and	and	CCONJ
brj-23138	30	14	different	different	ADJ
brj-23138	30	15	amounts	amount	NOUN
brj-23138	30	16	of	of	ADP
brj-23138	30	17	the	the	DET
brj-23138	30	18	same	same	ADJ
brj-23138	30	19	volatile	volatile	ADJ
brj-23138	30	20	gases	gas	NOUN
brj-23138	30	21	are	be	AUX
brj-23138	30	22	not	not	PART
brj-23138	30	23	the	the	DET
brj-23138	30	24	same	same	ADJ
brj-23138	30	25	.	.	PUNCT
brj-23138	31	1	thus	thus	ADV
brj-23138	31	2	,	,	PUNCT
brj-23138	31	3	it	it	PRON
brj-23138	31	4	is	be	AUX
brj-23138	31	5	possible	possible	ADJ
brj-23138	31	6	to	to	PART
brj-23138	31	7	distinguish	distinguish	VERB
brj-23138	31	8	and	and	CCONJ
brj-23138	31	9	detect	detect	VERB
brj-23138	31	10	a	a	DET
brj-23138	31	11	variety	variety	NOUN
brj-23138	31	12	of	of	ADP
brj-23138	31	13	chemical	chemical	ADJ
brj-23138	31	14	substances	substance	NOUN
brj-23138	31	15	(	(	PUNCT
brj-23138	31	16	suslick	suslick	NOUN
brj-23138	31	17	et	et	PROPN
brj-23138	31	18	al	al	PROPN
brj-23138	31	19	.	.	PROPN
brj-23138	31	20	2004	2004	NUM
brj-23138	31	21	)	)	PUNCT
brj-23138	31	22	.	.	PUNCT
brj-23138	32	1	metalloporphyrin	metalloporphyrin	NOUN
brj-23138	32	2	and	and	CCONJ
brj-23138	32	3	ph	ph	ADJ
brj-23138	32	4	indicator	indicator	NOUN
brj-23138	32	5	are	be	AUX
brj-23138	32	6	the	the	DET
brj-23138	32	7	commonest	commonest	NOUN
brj-23138	32	8	gas	gas	NOUN
brj-23138	32	9	-	-	PUNCT
brj-23138	32	10	sensitive	sensitive	ADJ
brj-23138	32	11	colorimetric	colorimetric	ADJ
brj-23138	32	12	dyes	dye	NOUN
brj-23138	32	13	,	,	PUNCT
brj-23138	32	14	but	but	CCONJ
brj-23138	32	15	they	they	PRON
brj-23138	32	16	have	have	VERB
brj-23138	32	17	different	different	ADJ
brj-23138	32	18	color	color	NOUN
brj-23138	32	19	-	-	PUNCT
brj-23138	32	20	changing	change	VERB
brj-23138	32	21	principles	principle	NOUN
brj-23138	32	22	.	.	PUNCT
brj-23138	33	1	metalloporphyrin	metalloporphyrin	NOUN
brj-23138	33	2	has	have	VERB
brj-23138	33	3	an	an	DET
brj-23138	33	4	open	open	ADJ
brj-23138	33	5	axially	axially	ADV
brj-23138	33	6	connected	connect	VERB
brj-23138	33	7	ligand	ligand	NOUN
brj-23138	33	8	site	site	NOUN
brj-23138	33	9	,	,	PUNCT
brj-23138	33	10	and	and	CCONJ
brj-23138	33	11	when	when	SCONJ
brj-23138	33	12	it	it	PRON
brj-23138	33	13	is	be	AUX
brj-23138	33	14	bound	bind	VERB
brj-23138	33	15	to	to	ADP
brj-23138	33	16	the	the	DET
brj-23138	33	17	ligand	ligand	NOUN
brj-23138	33	18	,	,	PUNCT
brj-23138	33	19	the	the	DET
brj-23138	33	20	spectrum	spectrum	NOUN
brj-23138	33	21	is	be	AUX
brj-23138	33	22	shifted	shift	VERB
brj-23138	33	23	,	,	PUNCT
brj-23138	33	24	showing	show	VERB
brj-23138	33	25	a	a	DET
brj-23138	33	26	strong	strong	ADJ
brj-23138	33	27	coloring	coloring	NOUN
brj-23138	33	28	effect	effect	NOUN
brj-23138	33	29	,	,	PUNCT
brj-23138	33	30	whereas	whereas	SCONJ
brj-23138	33	31	the	the	DET
brj-23138	33	32	color	color	NOUN
brj-23138	33	33	of	of	ADP
brj-23138	33	34	the	the	DET
brj-23138	33	35	ph	ph	ADJ
brj-23138	33	36	indicator	indicator	NOUN
brj-23138	33	37	varies	vary	VERB
brj-23138	33	38	only	only	ADV
brj-23138	33	39	with	with	ADP
brj-23138	33	40	the	the	DET
brj-23138	33	41	change	change	NOUN
brj-23138	33	42	of	of	ADP
brj-23138	33	43	acidity	acidity	NOUN
brj-23138	33	44	and	and	CCONJ
brj-23138	33	45	alkalinity	alkalinity	NOUN
brj-23138	33	46	.	.	PUNCT
brj-23138	34	1	the	the	DET
brj-23138	34	2	performance	performance	NOUN
brj-23138	34	3	of	of	ADP
brj-23138	34	4	colorimetric	colorimetric	ADJ
brj-23138	34	5	sensor	sensor	NOUN
brj-23138	34	6	array	array	NOUN
brj-23138	34	7	(	(	PUNCT
brj-23138	34	8	csa	csa	PROPN
brj-23138	34	9	)	)	PUNCT
brj-23138	34	10	depends	depend	VERB
brj-23138	34	11	on	on	ADP
brj-23138	34	12	the	the	DET
brj-23138	34	13	cross	cross	NOUN
brj-23138	34	14	response	response	NOUN
brj-23138	34	15	of	of	ADP
brj-23138	34	16	the	the	DET
brj-23138	34	17	sensor	sensor	NOUN
brj-23138	34	18	elements	element	NOUN
brj-23138	34	19	and	and	CCONJ
brj-23138	34	20	the	the	DET
brj-23138	34	21	discriminative	discriminative	NOUN
brj-23138	34	22	ability	ability	NOUN
brj-23138	34	23	of	of	ADP
brj-23138	34	24	the	the	DET
brj-23138	34	25	fingerprint	fingerprint	NOUN
brj-23138	34	26	model	model	NOUN
brj-23138	34	27	,	,	PUNCT
brj-23138	34	28	which	which	PRON
brj-23138	34	29	is	be	AUX
brj-23138	34	30	independent	independent	ADJ
brj-23138	34	31	of	of	ADP
brj-23138	34	32	the	the	DET
brj-23138	34	33	traditional	traditional	ADJ
brj-23138	34	34	lock	lock	NOUN
brj-23138	34	35	-	-	PUNCT
brj-23138	34	36	and	and	CCONJ
brj-23138	34	37	-	-	PUNCT
brj-23138	34	38	key	key	NOUN
brj-23138	34	39	model	model	NOUN
brj-23138	34	40	of	of	ADP
brj-23138	34	41	specific	specific	ADJ
brj-23138	34	42	receptor	receptor	NOUN
brj-23138	34	43	-	-	PUNCT
brj-23138	34	44	analyte	analyte	NOUN
brj-23138	34	45	interactions	interaction	NOUN
brj-23138	34	46	.	.	PUNCT
brj-23138	35	1	compared	compare	VERB
brj-23138	35	2	with	with	ADP
brj-23138	35	3	the	the	DET
brj-23138	35	4	traditional	traditional	ADJ
brj-23138	35	5	electronic	electronic	ADJ
brj-23138	35	6	nose	nose	NOUN
brj-23138	35	7	technology	technology	NOUN
brj-23138	35	8	,	,	PUNCT
brj-23138	35	9	the	the	DET
brj-23138	35	10	olfactory	olfactory	NOUN
brj-23138	35	11	visualization	visualization	NOUN
brj-23138	35	12	technology	technology	NOUN
brj-23138	35	13	has	have	VERB
brj-23138	35	14	the	the	DET
brj-23138	35	15	advantages	advantage	NOUN
brj-23138	35	16	of	of	ADP
brj-23138	35	17	high	high	ADJ
brj-23138	35	18	selectivity	selectivity	NOUN
brj-23138	35	19	,	,	PUNCT
brj-23138	35	20	high	high	ADJ
brj-23138	35	21	sensitivity	sensitivity	NOUN
brj-23138	35	22	,	,	PUNCT
brj-23138	35	23	and	and	CCONJ
brj-23138	35	24	low	low	ADJ
brj-23138	35	25	detection	detection	NOUN
brj-23138	35	26	limit	limit	NOUN
brj-23138	35	27	,	,	PUNCT
brj-23138	35	28	which	which	PRON
brj-23138	35	29	is	be	AUX
brj-23138	35	30	more	more	ADV
brj-23138	35	31	suitable	suitable	ADJ
brj-23138	35	32	for	for	ADP
brj-23138	35	33	the	the	DET
brj-23138	35	34	production	production	NOUN
brj-23138	35	35	requirements	requirement	NOUN
brj-23138	35	36	of	of	ADP
brj-23138	35	37	on	on	ADP
brj-23138	35	38	-	-	PUNCT
brj-23138	35	39	line	line	NOUN
brj-23138	35	40	and	and	CCONJ
brj-23138	35	41	large	large	ADJ
brj-23138	35	42	-	-	PUNCT
brj-23138	35	43	scale	scale	NOUN
brj-23138	35	44	detection	detection	NOUN
brj-23138	35	45	in	in	ADP
brj-23138	35	46	modern	modern	ADJ
brj-23138	35	47	animal	animal	NOUN
brj-23138	35	48	husbandry	husbandry	NOUN
brj-23138	35	49	industry	industry	NOUN
brj-23138	35	50	.	.	PUNCT
brj-23138	36	1	nowadays	nowadays	ADV
brj-23138	36	2	,	,	PUNCT
brj-23138	36	3	the	the	DET
brj-23138	36	4	technology	technology	NOUN
brj-23138	36	5	has	have	AUX
brj-23138	36	6	been	be	AUX
brj-23138	36	7	utilized	utilize	VERB
brj-23138	36	8	in	in	ADP
brj-23138	36	9	numerous	numerous	ADJ
brj-23138	36	10	complicated	complicated	ADJ
brj-23138	36	11	scenarios	scenario	NOUN
brj-23138	36	12	,	,	PUNCT
brj-23138	36	13	such	such	ADJ
brj-23138	36	14	as	as	ADP
brj-23138	36	15	food	food	NOUN
brj-23138	36	16	quality	quality	NOUN
brj-23138	36	17	assessment	assessment	NOUN
brj-23138	36	18	,	,	PUNCT
brj-23138	36	19	plant	plant	NOUN
brj-23138	36	20	disease	disease	NOUN
brj-23138	36	21	diagnosis	diagnosis	NOUN
brj-23138	36	22	,	,	PUNCT
brj-23138	36	23	and	and	CCONJ
brj-23138	36	24	toxic	toxic	ADJ
brj-23138	36	25	gas	gas	NOUN
brj-23138	36	26	detection	detection	NOUN
brj-23138	36	27	(	(	PUNCT
brj-23138	36	28	jiang	jiang	PROPN
brj-23138	36	29	et	et	PROPN
brj-23138	36	30	al	al	PROPN
brj-23138	36	31	.	.	PROPN
brj-23138	36	32	2019	2019	NUM
brj-23138	36	33	;	;	PUNCT
brj-23138	36	34	xu	xu	PROPN
brj-23138	36	35	et	et	PROPN
brj-23138	36	36	al	al	PROPN
brj-23138	36	37	.	.	PROPN
brj-23138	36	38	2019	2019	NUM
brj-23138	36	39	,	,	PUNCT
brj-23138	36	40	2022a	2022a	NUM
brj-23138	36	41	,	,	PUNCT
brj-23138	36	42	b	b	NOUN
brj-23138	36	43	;	;	PUNCT
brj-23138	36	44	liu	liu	PROPN
brj-23138	36	45	et	et	PROPN
brj-23138	36	46	al	al	PROPN
brj-23138	36	47	.	.	PROPN
brj-23138	36	48	2020	2020	NUM
brj-23138	36	49	;	;	PUNCT
brj-23138	36	50	wang	wang	PROPN
brj-23138	36	51	et	et	PROPN
brj-23138	36	52	al	al	PROPN
brj-23138	36	53	.	.	PROPN
brj-23138	36	54	2021	2021	NUM
brj-23138	36	55	;	;	PUNCT
brj-23138	36	56	ouyang	ouyang	PROPN
brj-23138	36	57	et	et	PROPN
brj-23138	36	58	al	al	PROPN
brj-23138	36	59	.	.	PROPN
brj-23138	36	60	2023	2023	NUM
brj-23138	36	61	)	)	PUNCT
brj-23138	36	62	.	.	PUNCT
brj-23138	37	1	however	however	ADV
brj-23138	37	2	,	,	PUNCT
brj-23138	37	3	little	little	ADJ
brj-23138	37	4	research	research	NOUN
brj-23138	37	5	has	have	AUX
brj-23138	37	6	been	be	AUX
brj-23138	37	7	done	do	VERB
brj-23138	37	8	on	on	ADP
brj-23138	37	9	the	the	DET
brj-23138	37	10	application	application	NOUN
brj-23138	37	11	of	of	ADP
brj-23138	37	12	this	this	DET
brj-23138	37	13	technology	technology	NOUN
brj-23138	37	14	towards	towards	ADP
brj-23138	37	15	maize	maize	NOUN
brj-23138	37	16	silage	silage	NOUN
brj-23138	37	17	quality	quality	NOUN
brj-23138	37	18	detection	detection	NOUN
brj-23138	37	19	.	.	PUNCT
brj-23138	38	1	this	this	DET
brj-23138	38	2	study	study	NOUN
brj-23138	38	3	aimed	aim	VERB
brj-23138	38	4	to	to	PART
brj-23138	38	5	verify	verify	VERB
brj-23138	38	6	the	the	DET
brj-23138	38	7	feasibility	feasibility	NOUN
brj-23138	38	8	of	of	ADP
brj-23138	38	9	applying	apply	VERB
brj-23138	38	10	olfactory	olfactory	ADJ
brj-23138	38	11	visualization	visualization	NOUN
brj-23138	38	12	sensor	sensor	NOUN
brj-23138	38	13	technology	technology	NOUN
brj-23138	38	14	for	for	ADP
brj-23138	38	15	qualitative	qualitative	ADJ
brj-23138	38	16	discrimination	discrimination	NOUN
brj-23138	38	17	of	of	ADP
brj-23138	38	18	maize	maize	NOUN
brj-23138	38	19	silage	silage	NOUN
brj-23138	38	20	.	.	PUNCT
brj-23138	39	1	the	the	DET
brj-23138	39	2	primary	primary	ADJ
brj-23138	39	3	work	work	NOUN
brj-23138	39	4	arrangements	arrangement	NOUN
brj-23138	39	5	of	of	ADP
brj-23138	39	6	this	this	DET
brj-23138	39	7	study	study	NOUN
brj-23138	39	8	were	be	AUX
brj-23138	39	9	as	as	SCONJ
brj-23138	39	10	follows	follow	VERB
brj-23138	39	11	.	.	PUNCT
brj-23138	40	1	(	(	PUNCT
brj-23138	40	2	1	1	X
brj-23138	40	3	)	)	PUNCT
brj-23138	40	4	the	the	DET
brj-23138	40	5	colorimetric	colorimetric	ADJ
brj-23138	40	6	sensor	sensor	NOUN
brj-23138	40	7	array	array	NOUN
brj-23138	40	8	was	be	AUX
brj-23138	40	9	fabricated	fabricate	VERB
brj-23138	40	10	by	by	ADP
brj-23138	40	11	spot	spot	NOUN
brj-23138	40	12	sampling	sample	VERB
brj-23138	40	13	12	12	NUM
brj-23138	40	14	color	color	NOUN
brj-23138	40	15	-	-	PUNCT
brj-23138	40	16	sensitive	sensitive	ADJ
brj-23138	40	17	dyes	dye	NOUN
brj-23138	40	18	selected	select	VERB
brj-23138	40	19	from	from	ADP
brj-23138	40	20	the	the	DET
brj-23138	40	21	pre	pre	NOUN
brj-23138	40	22	-	-	NOUN
brj-23138	40	23	experiment	experiment	NOUN
brj-23138	40	24	on	on	ADP
brj-23138	40	25	the	the	DET
brj-23138	40	26	substrate	substrate	NOUN
brj-23138	40	27	material	material	NOUN
brj-23138	40	28	.	.	PUNCT
brj-23138	41	1	(	(	PUNCT
brj-23138	41	2	2	2	X
brj-23138	41	3	)	)	PUNCT
brj-23138	41	4	the	the	DET
brj-23138	41	5	post	post	ADJ
brj-23138	41	6	-	-	ADJ
brj-23138	41	7	reaction	reaction	ADJ
brj-23138	41	8	odor	odor	NOUN
brj-23138	41	9	fingerprints	fingerprint	NOUN
brj-23138	41	10	were	be	AUX
brj-23138	41	11	acquired	acquire	VERB
brj-23138	41	12	and	and	CCONJ
brj-23138	41	13	computer	computer	NOUN
brj-23138	41	14	vision	vision	NOUN
brj-23138	41	15	algorithms	algorithm	NOUN
brj-23138	41	16	were	be	AUX
brj-23138	41	17	used	use	VERB
brj-23138	41	18	to	to	PART
brj-23138	41	19	extract	extract	VERB
brj-23138	41	20	the	the	DET
brj-23138	41	21	108	108	NUM
brj-23138	41	22	variables	variable	NOUN
brj-23138	41	23	from	from	ADP
brj-23138	41	24	the	the	DET
brj-23138	41	25	different	different	ADJ
brj-23138	41	26	images	image	NOUN
brj-23138	41	27	.	.	PUNCT
brj-23138	42	1	(	(	PUNCT
brj-23138	42	2	3	3	X
brj-23138	42	3	)	)	PUNCT
brj-23138	42	4	pca	pca	NOUN
brj-23138	42	5	was	be	AUX
brj-23138	42	6	used	use	VERB
brj-23138	42	7	to	to	PART
brj-23138	42	8	extract	extract	VERB
brj-23138	42	9	feature	feature	NOUN
brj-23138	42	10	variables	variable	NOUN
brj-23138	42	11	by	by	ADP
brj-23138	42	12	compression	compression	NOUN
brj-23138	42	13	and	and	CCONJ
brj-23138	42	14	visualize	visualize	VERB
brj-23138	42	15	the	the	DET
brj-23138	42	16	spatial	spatial	ADJ
brj-23138	42	17	distribution	distribution	NOUN
brj-23138	42	18	of	of	ADP
brj-23138	42	19	different	different	ADJ
brj-23138	42	20	quality	quality	NOUN
brj-23138	42	21	maize	maize	NOUN
brj-23138	42	22	silage	silage	NOUN
brj-23138	42	23	samples	sample	NOUN
brj-23138	42	24	.	.	PUNCT
brj-23138	43	1	(	(	PUNCT
brj-23138	43	2	4	4	X
brj-23138	43	3	)	)	PUNCT
brj-23138	43	4	three	three	NUM
brj-23138	43	5	non	non	ADJ
brj-23138	43	6	-	-	ADJ
brj-23138	43	7	linear	linear	ADJ
brj-23138	43	8	chemometric	chemometric	ADJ
brj-23138	43	9	methods	method	NOUN
brj-23138	43	10	were	be	AUX
brj-23138	43	11	utilized	utilize	VERB
brj-23138	43	12	to	to	PART
brj-23138	43	13	develop	develop	VERB
brj-23138	43	14	the	the	DET
brj-23138	43	15	qualitative	qualitative	ADJ
brj-23138	43	16	discrimination	discrimination	NOUN
brj-23138	43	17	model	model	NOUN
brj-23138	43	18	of	of	ADP
brj-23138	43	19	maize	maize	NOUN
brj-23138	43	20	silage	silage	NOUN
brj-23138	43	21	,	,	PUNCT
brj-23138	43	22	and	and	CCONJ
brj-23138	43	23	independent	independent	ADJ
brj-23138	43	24	datasets	dataset	NOUN
brj-23138	43	25	were	be	AUX
brj-23138	43	26	used	use	VERB
brj-23138	43	27	to	to	PART
brj-23138	43	28	validate	validate	VERB
brj-23138	43	29	the	the	DET
brj-23138	43	30	optimized	optimize	VERB
brj-23138	43	31	models	model	NOUN
brj-23138	43	32	.	.	PUNCT
brj-23138	44	1	peer	peer	NOUN
brj-23138	44	2	-	-	PUNCT
brj-23138	44	3	reviewed	review	VERB
brj-23138	44	4	article	article	NOUN
brj-23138	44	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	44	6	tao	tao	PROPN
brj-23138	44	7	et	et	PROPN
brj-23138	44	8	al	al	PROPN
brj-23138	44	9	.	.	PROPN
brj-23138	45	1	(	(	PUNCT
brj-23138	45	2	2024	2024	NUM
brj-23138	45	3	)	)	PUNCT
brj-23138	45	4	.	.	PUNCT
brj-23138	46	1	“	"	PUNCT
brj-23138	46	2	maize	maize	VERB
brj-23138	46	3	silage	silage	NOUN
brj-23138	46	4	quality	quality	NOUN
brj-23138	46	5	testing	testing	NOUN
brj-23138	46	6	,	,	PUNCT
brj-23138	46	7	”	"	PUNCT
brj-23138	46	8	bioresources	bioresource	NOUN
brj-23138	46	9	19(2	19(2	NUM
brj-23138	46	10	)	)	PUNCT
brj-23138	46	11	,	,	PUNCT
brj-23138	46	12	3597	3597	NUM
brj-23138	46	13	-	-	SYM
brj-23138	46	14	3613	3613	NUM
brj-23138	46	15	.	.	PUNCT
brj-23138	47	1	3599	3599	NUM
brj-23138	47	2	experimental	experimental	ADJ
brj-23138	47	3	sample	sample	NOUN
brj-23138	47	4	preparation	preparation	NOUN
brj-23138	47	5	maize	maize	NOUN
brj-23138	47	6	silage	silage	NOUN
brj-23138	47	7	(	(	PUNCT
brj-23138	47	8	yandan	yandan	PROPN
brj-23138	47	9	silage	silage	NOUN
brj-23138	47	10	202	202	NUM
brj-23138	47	11	)	)	PUNCT
brj-23138	47	12	was	be	AUX
brj-23138	47	13	purchased	purchase	VERB
brj-23138	47	14	from	from	ADP
brj-23138	47	15	a	a	DET
brj-23138	47	16	local	local	ADJ
brj-23138	47	17	farm	farm	NOUN
brj-23138	47	18	(	(	PUNCT
brj-23138	47	19	hohhot	hohhot	ADJ
brj-23138	47	20	,	,	PUNCT
brj-23138	47	21	inner	inner	ADJ
brj-23138	47	22	mongolia	mongolia	PROPN
brj-23138	47	23	,	,	PUNCT
brj-23138	47	24	china	china	PROPN
brj-23138	47	25	)	)	PUNCT
brj-23138	47	26	in	in	ADP
brj-23138	47	27	three	three	NUM
brj-23138	47	28	batches	batch	NOUN
brj-23138	47	29	of	of	ADP
brj-23138	47	30	126	126	NUM
brj-23138	47	31	kg	kg	NOUN
brj-23138	47	32	.	.	PUNCT
brj-23138	48	1	each	each	DET
brj-23138	48	2	batch	batch	NOUN
brj-23138	48	3	was	be	AUX
brj-23138	48	4	subjected	subject	VERB
brj-23138	48	5	to	to	ADP
brj-23138	48	6	testing	test	VERB
brj-23138	48	7	immediately	immediately	ADV
brj-23138	48	8	upon	upon	SCONJ
brj-23138	48	9	receipt	receipt	NOUN
brj-23138	48	10	to	to	PART
brj-23138	48	11	ensure	ensure	VERB
brj-23138	48	12	the	the	DET
brj-23138	48	13	quality	quality	NOUN
brj-23138	48	14	of	of	ADP
brj-23138	48	15	samples	sample	NOUN
brj-23138	48	16	.	.	PUNCT
brj-23138	49	1	the	the	DET
brj-23138	49	2	maize	maize	NOUN
brj-23138	49	3	silage	silage	NOUN
brj-23138	49	4	samples	sample	NOUN
brj-23138	49	5	were	be	AUX
brj-23138	49	6	placed	place	VERB
brj-23138	49	7	in	in	ADP
brj-23138	49	8	polyethylene	polyethylene	NOUN
brj-23138	49	9	boxes	box	NOUN
brj-23138	49	10	of	of	ADP
brj-23138	49	11	3	3	NUM
brj-23138	49	12	kg	kg	NOUN
brj-23138	49	13	±	±	NUM
brj-23138	49	14	100	100	NUM
brj-23138	49	15	g	g	ADP
brj-23138	49	16	each	each	PRON
brj-23138	49	17	at	at	ADP
brj-23138	49	18	ambient	ambient	ADJ
brj-23138	49	19	temperature	temperature	NOUN
brj-23138	49	20	(	(	PUNCT
brj-23138	49	21	18	18	NUM
brj-23138	49	22	to	to	PART
brj-23138	49	23	22	22	NUM
brj-23138	49	24	°	°	NOUN
brj-23138	49	25	c	c	NOUN
brj-23138	49	26	)	)	PUNCT
brj-23138	49	27	.	.	PUNCT
brj-23138	50	1	every	every	DET
brj-23138	50	2	two	two	NUM
brj-23138	50	3	boxes	box	NOUN
brj-23138	50	4	of	of	ADP
brj-23138	50	5	maize	maize	NOUN
brj-23138	50	6	silage	silage	NOUN
brj-23138	50	7	were	be	AUX
brj-23138	50	8	taken	take	VERB
brj-23138	50	9	as	as	ADP
brj-23138	50	10	a	a	DET
brj-23138	50	11	group	group	NOUN
brj-23138	50	12	,	,	PUNCT
brj-23138	50	13	and	and	CCONJ
brj-23138	50	14	three	three	NUM
brj-23138	50	15	sampling	sampling	NOUN
brj-23138	50	16	points	point	NOUN
brj-23138	50	17	were	be	AUX
brj-23138	50	18	taken	take	VERB
brj-23138	50	19	from	from	ADP
brj-23138	50	20	each	each	DET
brj-23138	50	21	group	group	NOUN
brj-23138	50	22	for	for	ADP
brj-23138	50	23	the	the	DET
brj-23138	50	24	olfactory	olfactory	ADJ
brj-23138	50	25	visualization	visualization	NOUN
brj-23138	50	26	experiment	experiment	NOUN
brj-23138	50	27	,	,	PUNCT
brj-23138	50	28	which	which	PRON
brj-23138	50	29	resulted	result	VERB
brj-23138	50	30	in	in	ADP
brj-23138	50	31	48	48	NUM
brj-23138	50	32	samples	sample	NOUN
brj-23138	50	33	per	per	ADP
brj-23138	50	34	batch	batch	NOUN
brj-23138	50	35	,	,	PUNCT
brj-23138	50	36	and	and	CCONJ
brj-23138	50	37	a	a	DET
brj-23138	50	38	total	total	NOUN
brj-23138	50	39	of	of	ADP
brj-23138	50	40	144	144	NUM
brj-23138	50	41	samples	sample	NOUN
brj-23138	50	42	were	be	AUX
brj-23138	50	43	prepared	prepare	VERB
brj-23138	50	44	.	.	PUNCT
brj-23138	51	1	during	during	ADP
brj-23138	51	2	storage	storage	NOUN
brj-23138	51	3	and	and	CCONJ
brj-23138	51	4	feeding	feeding	NOUN
brj-23138	51	5	of	of	ADP
brj-23138	51	6	silage	silage	NOUN
brj-23138	51	7	corn	corn	NOUN
brj-23138	51	8	feeds	feed	NOUN
brj-23138	51	9	,	,	PUNCT
brj-23138	51	10	it	it	PRON
brj-23138	51	11	is	be	AUX
brj-23138	51	12	possible	possible	ADJ
brj-23138	51	13	that	that	SCONJ
brj-23138	51	14	there	there	PRON
brj-23138	51	15	may	may	AUX
brj-23138	51	16	be	be	AUX
brj-23138	51	17	secondary	secondary	ADJ
brj-23138	51	18	fermentation	fermentation	NOUN
brj-23138	51	19	caused	cause	VERB
brj-23138	51	20	by	by	ADP
brj-23138	51	21	periodic	periodic	ADJ
brj-23138	51	22	opening	opening	NOUN
brj-23138	51	23	of	of	ADP
brj-23138	51	24	silo	silo	NOUN
brj-23138	51	25	bins	bin	NOUN
brj-23138	51	26	(	(	PUNCT
brj-23138	51	27	intermittent	intermittent	ADJ
brj-23138	51	28	invasion	invasion	NOUN
brj-23138	51	29	of	of	ADP
brj-23138	51	30	oxygen	oxygen	NOUN
brj-23138	51	31	)	)	PUNCT
brj-23138	51	32	or	or	CCONJ
brj-23138	51	33	permanent	permanent	ADJ
brj-23138	51	34	destruction	destruction	NOUN
brj-23138	51	35	of	of	ADP
brj-23138	51	36	the	the	DET
brj-23138	51	37	storage	storage	NOUN
brj-23138	51	38	environment	environment	NOUN
brj-23138	51	39	(	(	PUNCT
brj-23138	51	40	continuous	continuous	ADJ
brj-23138	51	41	invasion	invasion	NOUN
brj-23138	51	42	of	of	ADP
brj-23138	51	43	oxygen	oxygen	NOUN
brj-23138	51	44	)	)	PUNCT
brj-23138	51	45	,	,	PUNCT
brj-23138	51	46	so	so	SCONJ
brj-23138	51	47	that	that	SCONJ
brj-23138	51	48	two	two	NUM
brj-23138	51	49	different	different	ADJ
brj-23138	51	50	treatments	treatment	NOUN
brj-23138	51	51	of	of	ADP
brj-23138	51	52	laboratory	laboratory	NOUN
brj-23138	51	53	-	-	PUNCT
brj-23138	51	54	prepared	prepare	VERB
brj-23138	51	55	maize	maize	NOUN
brj-23138	51	56	silage	silage	NOUN
brj-23138	51	57	samples	sample	NOUN
brj-23138	51	58	were	be	AUX
brj-23138	51	59	carried	carry	VERB
brj-23138	51	60	out	out	ADP
brj-23138	51	61	on	on	ADP
brj-23138	51	62	the	the	DET
brj-23138	51	63	collected	collect	VERB
brj-23138	51	64	samples	sample	NOUN
brj-23138	51	65	,	,	PUNCT
brj-23138	51	66	as	as	SCONJ
brj-23138	51	67	follows	follow	VERB
brj-23138	51	68	:	:	PUNCT
brj-23138	51	69	(	(	PUNCT
brj-23138	51	70	1	1	X
brj-23138	51	71	)	)	PUNCT
brj-23138	51	72	continuous	continuous	ADJ
brj-23138	51	73	aerobic	aerobic	ADJ
brj-23138	51	74	exposure	exposure	NOUN
brj-23138	51	75	treatment	treatment	NOUN
brj-23138	51	76	:	:	PUNCT
brj-23138	51	77	to	to	PART
brj-23138	51	78	prevent	prevent	VERB
brj-23138	51	79	water	water	NOUN
brj-23138	51	80	evaporation	evaporation	NOUN
brj-23138	51	81	,	,	PUNCT
brj-23138	51	82	the	the	DET
brj-23138	51	83	polyethylene	polyethylene	NOUN
brj-23138	51	84	boxes	box	NOUN
brj-23138	51	85	were	be	AUX
brj-23138	51	86	covered	cover	VERB
brj-23138	51	87	with	with	ADP
brj-23138	51	88	aluminum	aluminum	NOUN
brj-23138	51	89	foil	foil	NOUN
brj-23138	51	90	with	with	ADP
brj-23138	51	91	small	small	ADJ
brj-23138	51	92	holes	hole	NOUN
brj-23138	51	93	of	of	ADP
brj-23138	51	94	10	10	NUM
brj-23138	51	95	mm	mm	NOUN
brj-23138	51	96	diameter	diameter	NOUN
brj-23138	51	97	distributed	distribute	VERB
brj-23138	51	98	equally	equally	ADV
brj-23138	51	99	.	.	PUNCT
brj-23138	52	1	during	during	ADP
brj-23138	52	2	the	the	DET
brj-23138	52	3	seven	seven	NUM
brj-23138	52	4	days	day	NOUN
brj-23138	52	5	of	of	ADP
brj-23138	52	6	storage	storage	NOUN
brj-23138	52	7	,	,	PUNCT
brj-23138	52	8	aerobic	aerobic	ADJ
brj-23138	52	9	exposures	exposure	NOUN
brj-23138	52	10	of	of	ADP
brj-23138	52	11	0d	0d	NOUN
brj-23138	52	12	,	,	PUNCT
brj-23138	52	13	1d	1d	NUM
brj-23138	52	14	,	,	PUNCT
brj-23138	52	15	2d	2d	NOUN
brj-23138	52	16	,	,	PUNCT
brj-23138	52	17	3d	3d	NUM
brj-23138	52	18	,	,	PUNCT
brj-23138	52	19	4d	4d	NUM
brj-23138	52	20	,	,	PUNCT
brj-23138	52	21	5d	5d	NUM
brj-23138	52	22	,	,	PUNCT
brj-23138	52	23	6d	6d	NUM
brj-23138	52	24	,	,	PUNCT
brj-23138	52	25	and	and	CCONJ
brj-23138	52	26	7d	7d	NOUN
brj-23138	52	27	were	be	AUX
brj-23138	52	28	undertaken	undertake	VERB
brj-23138	52	29	,	,	PUNCT
brj-23138	52	30	which	which	PRON
brj-23138	52	31	were	be	AUX
brj-23138	52	32	performed	perform	VERB
brj-23138	52	33	at	at	ADP
brj-23138	52	34	ambient	ambient	ADJ
brj-23138	52	35	temperature	temperature	NOUN
brj-23138	52	36	(	(	PUNCT
brj-23138	52	37	18	18	NUM
brj-23138	52	38	-	-	SYM
brj-23138	52	39	22	22	NUM
brj-23138	52	40	°	°	NOUN
brj-23138	52	41	c	c	NOUN
brj-23138	52	42	)	)	PUNCT
brj-23138	52	43	.	.	PUNCT
brj-23138	53	1	(	(	PUNCT
brj-23138	53	2	2	2	X
brj-23138	53	3	)	)	PUNCT
brj-23138	53	4	intermittent	intermittent	ADJ
brj-23138	53	5	aerobic	aerobic	ADJ
brj-23138	53	6	exposure	exposure	NOUN
brj-23138	53	7	treatment	treatment	NOUN
brj-23138	53	8	:	:	PUNCT
brj-23138	53	9	in	in	ADP
brj-23138	53	10	comparison	comparison	NOUN
brj-23138	53	11	to	to	ADP
brj-23138	53	12	the	the	DET
brj-23138	53	13	previous	previous	ADJ
brj-23138	53	14	treatment	treatment	NOUN
brj-23138	53	15	,	,	PUNCT
brj-23138	53	16	the	the	DET
brj-23138	53	17	only	only	ADJ
brj-23138	53	18	difference	difference	NOUN
brj-23138	53	19	of	of	ADP
brj-23138	53	20	this	this	DET
brj-23138	53	21	method	method	NOUN
brj-23138	53	22	is	be	AUX
brj-23138	53	23	that	that	SCONJ
brj-23138	53	24	the	the	DET
brj-23138	53	25	maize	maize	NOUN
brj-23138	53	26	silage	silage	NOUN
brj-23138	53	27	was	be	AUX
brj-23138	53	28	placed	place	VERB
brj-23138	53	29	in	in	ADP
brj-23138	53	30	a	a	DET
brj-23138	53	31	polyethylene	polyethylene	NOUN
brj-23138	53	32	box	box	NOUN
brj-23138	53	33	covered	cover	VERB
brj-23138	53	34	with	with	ADP
brj-23138	53	35	perforated	perforated	ADJ
brj-23138	53	36	aluminum	aluminum	NOUN
brj-23138	53	37	foil	foil	NOUN
brj-23138	53	38	for	for	ADP
brj-23138	53	39	one	one	NUM
brj-23138	53	40	hour	hour	NOUN
brj-23138	53	41	of	of	ADP
brj-23138	53	42	aerobic	aerobic	ADJ
brj-23138	53	43	exposure	exposure	NOUN
brj-23138	53	44	and	and	CCONJ
brj-23138	53	45	kept	keep	VERB
brj-23138	53	46	closed	close	VERB
brj-23138	53	47	for	for	ADP
brj-23138	53	48	the	the	DET
brj-23138	53	49	rest	rest	NOUN
brj-23138	53	50	of	of	ADP
brj-23138	53	51	the	the	DET
brj-23138	53	52	time	time	NOUN
brj-23138	53	53	.	.	PUNCT
brj-23138	54	1	given	give	VERB
brj-23138	54	2	the	the	DET
brj-23138	54	3	exploration	exploration	NOUN
brj-23138	54	4	of	of	ADP
brj-23138	54	5	the	the	DET
brj-23138	54	6	deterioration	deterioration	NOUN
brj-23138	54	7	pattern	pattern	NOUN
brj-23138	54	8	of	of	ADP
brj-23138	54	9	corn	corn	NOUN
brj-23138	54	10	silage	silage	NOUN
brj-23138	54	11	by	by	ADP
brj-23138	54	12	the	the	DET
brj-23138	54	13	preexperiment	preexperiment	NOUN
brj-23138	54	14	,	,	PUNCT
brj-23138	54	15	the	the	DET
brj-23138	54	16	first	first	ADJ
brj-23138	54	17	two	two	NUM
brj-23138	54	18	batches	batch	NOUN
brj-23138	54	19	of	of	ADP
brj-23138	54	20	samples	sample	NOUN
brj-23138	54	21	were	be	AUX
brj-23138	54	22	subject	subject	ADJ
brj-23138	54	23	to	to	ADP
brj-23138	54	24	continuous	continuous	ADJ
brj-23138	54	25	aerobic	aerobic	ADJ
brj-23138	54	26	exposure	exposure	NOUN
brj-23138	54	27	treatment	treatment	NOUN
brj-23138	54	28	,	,	PUNCT
brj-23138	54	29	and	and	CCONJ
brj-23138	54	30	the	the	DET
brj-23138	54	31	third	third	ADJ
brj-23138	54	32	batch	batch	NOUN
brj-23138	54	33	of	of	ADP
brj-23138	54	34	samples	sample	NOUN
brj-23138	54	35	was	be	AUX
brj-23138	54	36	subjected	subject	VERB
brj-23138	54	37	to	to	ADP
brj-23138	54	38	intermittent	intermittent	ADJ
brj-23138	54	39	aerobic	aerobic	ADJ
brj-23138	54	40	exposure	exposure	NOUN
brj-23138	54	41	treatment	treatment	NOUN
brj-23138	54	42	,	,	PUNCT
brj-23138	54	43	resulting	result	VERB
brj-23138	54	44	in	in	ADP
brj-23138	54	45	relatively	relatively	ADV
brj-23138	54	46	balanced	balanced	ADJ
brj-23138	54	47	samples	sample	NOUN
brj-23138	54	48	of	of	ADP
brj-23138	54	49	each	each	DET
brj-23138	54	50	maize	maize	NOUN
brj-23138	54	51	silage	silage	NOUN
brj-23138	54	52	grade	grade	NOUN
brj-23138	54	53	.	.	PUNCT
brj-23138	55	1	quality	quality	NOUN
brj-23138	55	2	grade	grade	NOUN
brj-23138	55	3	assessment	assessment	NOUN
brj-23138	55	4	the	the	DET
brj-23138	55	5	ph	ph	NOUN
brj-23138	55	6	value	value	NOUN
brj-23138	55	7	is	be	AUX
brj-23138	55	8	one	one	NUM
brj-23138	55	9	of	of	ADP
brj-23138	55	10	the	the	DET
brj-23138	55	11	key	key	ADJ
brj-23138	55	12	indicators	indicator	NOUN
brj-23138	55	13	for	for	ADP
brj-23138	55	14	assessing	assess	VERB
brj-23138	55	15	maize	maize	NOUN
brj-23138	55	16	silage	silage	NOUN
brj-23138	55	17	quality	quality	NOUN
brj-23138	55	18	,	,	PUNCT
brj-23138	55	19	reflecting	reflect	VERB
brj-23138	55	20	the	the	DET
brj-23138	55	21	acidic	acidic	ADJ
brj-23138	55	22	and	and	CCONJ
brj-23138	55	23	alkaline	alkaline	ADJ
brj-23138	55	24	nature	nature	NOUN
brj-23138	55	25	of	of	ADP
brj-23138	55	26	the	the	DET
brj-23138	55	27	maize	maize	NOUN
brj-23138	55	28	silage	silage	NOUN
brj-23138	55	29	.	.	PUNCT
brj-23138	56	1	an	an	DET
brj-23138	56	2	appropriate	appropriate	ADJ
brj-23138	56	3	ph	ph	ADJ
brj-23138	56	4	range	range	NOUN
brj-23138	56	5	serves	serve	VERB
brj-23138	56	6	to	to	PART
brj-23138	56	7	maintain	maintain	VERB
brj-23138	56	8	its	its	PRON
brj-23138	56	9	stability	stability	NOUN
brj-23138	56	10	and	and	CCONJ
brj-23138	56	11	promote	promote	VERB
brj-23138	56	12	the	the	DET
brj-23138	56	13	fermentation	fermentation	NOUN
brj-23138	56	14	activities	activity	NOUN
brj-23138	56	15	of	of	ADP
brj-23138	56	16	beneficial	beneficial	ADJ
brj-23138	56	17	microorganisms	microorganism	NOUN
brj-23138	56	18	,	,	PUNCT
brj-23138	56	19	which	which	PRON
brj-23138	56	20	influence	influence	VERB
brj-23138	56	21	the	the	DET
brj-23138	56	22	feeding	feeding	NOUN
brj-23138	56	23	rate	rate	NOUN
brj-23138	56	24	and	and	CCONJ
brj-23138	56	25	enzyme	enzyme	NOUN
brj-23138	56	26	activities	activity	NOUN
brj-23138	56	27	of	of	ADP
brj-23138	56	28	animals	animal	NOUN
brj-23138	56	29	(	(	PUNCT
brj-23138	56	30	kung	kung	NOUN
brj-23138	56	31	et	et	PROPN
brj-23138	56	32	al	al	PROPN
brj-23138	56	33	.	.	PROPN
brj-23138	56	34	2018	2018	NUM
brj-23138	56	35	)	)	PUNCT
brj-23138	56	36	.	.	PUNCT
brj-23138	57	1	compared	compare	VERB
brj-23138	57	2	to	to	ADP
brj-23138	57	3	other	other	ADJ
brj-23138	57	4	indicators	indicator	NOUN
brj-23138	57	5	,	,	PUNCT
brj-23138	57	6	ph	ph	PROPN
brj-23138	57	7	has	have	VERB
brj-23138	57	8	the	the	DET
brj-23138	57	9	advantages	advantage	NOUN
brj-23138	57	10	of	of	ADP
brj-23138	57	11	the	the	DET
brj-23138	57	12	visibility	visibility	NOUN
brj-23138	57	13	and	and	CCONJ
brj-23138	57	14	rapidity	rapidity	NOUN
brj-23138	57	15	of	of	ADP
brj-23138	57	16	the	the	DET
brj-23138	57	17	measurement	measurement	NOUN
brj-23138	57	18	,	,	PUNCT
brj-23138	57	19	thus	thus	ADV
brj-23138	57	20	providing	provide	VERB
brj-23138	57	21	a	a	DET
brj-23138	57	22	simple	simple	ADJ
brj-23138	57	23	and	and	CCONJ
brj-23138	57	24	effective	effective	ADJ
brj-23138	57	25	means	mean	NOUN
brj-23138	57	26	of	of	ADP
brj-23138	57	27	monitoring	monitoring	NOUN
brj-23138	57	28	for	for	ADP
brj-23138	57	29	stocking	stocking	NOUN
brj-23138	57	30	management	management	NOUN
brj-23138	57	31	.	.	PUNCT
brj-23138	58	1	according	accord	VERB
brj-23138	58	2	to	to	ADP
brj-23138	58	3	the	the	DET
brj-23138	58	4	technical	technical	ADJ
brj-23138	58	5	specification	specification	NOUN
brj-23138	58	6	for	for	ADP
brj-23138	58	7	grading	grade	VERB
brj-23138	58	8	whole	whole	ADJ
brj-23138	58	9	plant	plant	NOUN
brj-23138	58	10	maize	maize	NOUN
brj-23138	58	11	silage	silage	NOUN
brj-23138	58	12	(	(	PUNCT
brj-23138	58	13	db11	db11	PROPN
brj-23138	58	14	/	/	SYM
brj-23138	58	15	t	t	PROPN
brj-23138	58	16	1759	1759	NUM
brj-23138	58	17	-	-	SYM
brj-23138	58	18	2020	2020	NUM
brj-23138	58	19	)	)	PUNCT
brj-23138	58	20	,	,	PUNCT
brj-23138	58	21	among	among	ADP
brj-23138	58	22	the	the	DET
brj-23138	58	23	fresh	fresh	ADJ
brj-23138	58	24	maize	maize	NOUN
brj-23138	58	25	silage	silage	NOUN
brj-23138	58	26	with	with	ADP
brj-23138	58	27	ph	ph	ADJ
brj-23138	58	28	≤	≤	NUM
brj-23138	58	29	3.9	3.9	NUM
brj-23138	58	30	,	,	PUNCT
brj-23138	58	31	the	the	DET
brj-23138	58	32	medium	medium	ADJ
brj-23138	58	33	maize	maize	NOUN
brj-23138	58	34	silage	silage	NOUN
brj-23138	58	35	with	with	ADP
brj-23138	58	36	ph	ph	ADJ
brj-23138	58	37	ranges	range	NOUN
brj-23138	58	38	from	from	ADP
brj-23138	58	39	3.9	3.9	NUM
brj-23138	58	40	to	to	ADP
brj-23138	58	41	4.4	4.4	NUM
brj-23138	58	42	,	,	PUNCT
brj-23138	58	43	and	and	CCONJ
brj-23138	58	44	the	the	DET
brj-23138	58	45	deteriorated	deteriorate	VERB
brj-23138	58	46	maize	maize	NOUN
brj-23138	58	47	silage	silage	NOUN
brj-23138	58	48	with	with	ADP
brj-23138	58	49	ph	ph	PROPN
brj-23138	58	50	>	>	X
brj-23138	58	51	4.4	4.4	NUM
brj-23138	58	52	.	.	PUNCT
brj-23138	59	1	the	the	DET
brj-23138	59	2	ph	ph	NOUN
brj-23138	59	3	of	of	ADP
brj-23138	59	4	maize	maize	NOUN
brj-23138	59	5	silage	silage	NOUN
brj-23138	59	6	was	be	AUX
brj-23138	59	7	measured	measure	VERB
brj-23138	59	8	using	use	VERB
brj-23138	59	9	a	a	DET
brj-23138	59	10	high	high	ADJ
brj-23138	59	11	-	-	PUNCT
brj-23138	59	12	precision	precision	NOUN
brj-23138	59	13	ph	ph	NOUN
brj-23138	59	14	meter	meter	NOUN
brj-23138	59	15	(	(	PUNCT
brj-23138	59	16	phs-3cb	phs-3cb	PROPN
brj-23138	59	17	,	,	PUNCT
brj-23138	59	18	shanghai	shanghai	PROPN
brj-23138	59	19	yueping	yuepe	VERB
brj-23138	59	20	scientific	scientific	PROPN
brj-23138	59	21	instrument	instrument	PROPN
brj-23138	59	22	co.	co.	PROPN
brj-23138	59	23	,	,	PUNCT
brj-23138	59	24	ltd	ltd	PROPN
brj-23138	59	25	.	.	PROPN
brj-23138	59	26	,	,	PUNCT
brj-23138	59	27	shanghai	shanghai	PROPN
brj-23138	59	28	,	,	PUNCT
brj-23138	59	29	china	china	PROPN
brj-23138	59	30	)	)	PUNCT
brj-23138	59	31	with	with	ADP
brj-23138	59	32	a	a	DET
brj-23138	59	33	resolution	resolution	NOUN
brj-23138	59	34	of	of	ADP
brj-23138	59	35	0.01	0.01	NUM
brj-23138	59	36	and	and	CCONJ
brj-23138	59	37	an	an	DET
brj-23138	59	38	accuracy	accuracy	NOUN
brj-23138	59	39	of	of	ADP
brj-23138	59	40	±0.01	±0.01	PROPN
brj-23138	59	41	.	.	PUNCT
brj-23138	60	1	maize	maize	NOUN
brj-23138	60	2	silage	silage	NOUN
brj-23138	60	3	in	in	ADP
brj-23138	60	4	the	the	DET
brj-23138	60	5	polyethylene	polyethylene	NOUN
brj-23138	60	6	box	box	NOUN
brj-23138	60	7	was	be	AUX
brj-23138	60	8	evenly	evenly	ADV
brj-23138	60	9	divided	divide	VERB
brj-23138	60	10	into	into	ADP
brj-23138	60	11	three	three	NUM
brj-23138	60	12	parts	part	NOUN
brj-23138	60	13	,	,	PUNCT
brj-23138	60	14	and	and	CCONJ
brj-23138	60	15	the	the	DET
brj-23138	60	16	silage	silage	NOUN
brj-23138	60	17	from	from	ADP
brj-23138	60	18	each	each	DET
brj-23138	60	19	part	part	NOUN
brj-23138	60	20	was	be	AUX
brj-23138	60	21	mixed	mix	VERB
brj-23138	60	22	well	well	ADV
brj-23138	60	23	and	and	CCONJ
brj-23138	60	24	reduced	reduce	VERB
brj-23138	60	25	using	use	VERB
brj-23138	60	26	the	the	DET
brj-23138	60	27	quadrature	quadrature	NOUN
brj-23138	60	28	method	method	NOUN
brj-23138	60	29	until	until	SCONJ
brj-23138	60	30	the	the	DET
brj-23138	60	31	sample	sample	NOUN
brj-23138	60	32	was	be	AUX
brj-23138	60	33	reduced	reduce	VERB
brj-23138	60	34	to	to	ADP
brj-23138	60	35	10.0	10.0	NUM
brj-23138	60	36	g	g	NOUN
brj-23138	60	37	(	(	PUNCT
brj-23138	60	38	accurate	accurate	ADJ
brj-23138	60	39	to	to	ADP
brj-23138	60	40	0.1	0.1	NUM
brj-23138	60	41	)	)	PUNCT
brj-23138	60	42	.	.	PUNCT
brj-23138	61	1	the	the	DET
brj-23138	61	2	weighed	weigh	VERB
brj-23138	61	3	maize	maize	NOUN
brj-23138	61	4	silage	silage	NOUN
brj-23138	61	5	was	be	AUX
brj-23138	61	6	placed	place	VERB
brj-23138	61	7	in	in	ADP
brj-23138	61	8	a	a	DET
brj-23138	61	9	500	500	NUM
brj-23138	61	10	ml	ml	NOUN
brj-23138	61	11	glass	glass	NOUN
brj-23138	61	12	beaker	beaker	NOUN
brj-23138	61	13	,	,	PUNCT
brj-23138	61	14	then	then	ADV
brj-23138	61	15	90	90	NUM
brj-23138	61	16	ml	ml	NOUN
brj-23138	61	17	of	of	ADP
brj-23138	61	18	distilled	distil	VERB
brj-23138	61	19	water	water	NOUN
brj-23138	61	20	was	be	AUX
brj-23138	61	21	added	add	VERB
brj-23138	61	22	(	(	PUNCT
brj-23138	61	23	10	10	NUM
brj-23138	61	24	g	g	NOUN
brj-23138	61	25	of	of	ADP
brj-23138	61	26	sample/90	sample/90	NOUN
brj-23138	61	27	ml	ml	X
brj-23138	61	28	of	of	ADP
brj-23138	61	29	distilled	distil	VERB
brj-23138	61	30	water	water	NOUN
brj-23138	61	31	was	be	AUX
brj-23138	61	32	the	the	DET
brj-23138	61	33	common	common	ADJ
brj-23138	61	34	ratio	ratio	NOUN
brj-23138	61	35	)	)	PUNCT
brj-23138	61	36	.	.	PUNCT
brj-23138	62	1	later	later	ADV
brj-23138	62	2	,	,	PUNCT
brj-23138	62	3	the	the	DET
brj-23138	62	4	glass	glass	NOUN
brj-23138	62	5	beaker	beaker	NOUN
brj-23138	62	6	peer	peer	NOUN
brj-23138	62	7	-	-	PUNCT
brj-23138	62	8	reviewed	review	VERB
brj-23138	62	9	article	article	NOUN
brj-23138	62	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	62	11	tao	tao	PROPN
brj-23138	62	12	et	et	PROPN
brj-23138	62	13	al	al	PROPN
brj-23138	62	14	.	.	PROPN
brj-23138	63	1	(	(	PUNCT
brj-23138	63	2	2024	2024	NUM
brj-23138	63	3	)	)	PUNCT
brj-23138	63	4	.	.	PUNCT
brj-23138	64	1	“	"	PUNCT
brj-23138	64	2	maize	maize	VERB
brj-23138	64	3	silage	silage	NOUN
brj-23138	64	4	quality	quality	NOUN
brj-23138	64	5	testing	testing	NOUN
brj-23138	64	6	,	,	PUNCT
brj-23138	64	7	”	"	PUNCT
brj-23138	64	8	bioresources	bioresource	NOUN
brj-23138	64	9	19(2	19(2	NUM
brj-23138	64	10	)	)	PUNCT
brj-23138	64	11	,	,	PUNCT
brj-23138	64	12	3597	3597	NUM
brj-23138	64	13	-	-	SYM
brj-23138	64	14	3613	3613	NUM
brj-23138	64	15	.	.	PUNCT
brj-23138	64	16	3600	3600	NUM
brj-23138	64	17	was	be	AUX
brj-23138	64	18	covered	cover	VERB
brj-23138	64	19	with	with	ADP
brj-23138	64	20	cling	cle	VERB
brj-23138	64	21	film	film	NOUN
brj-23138	64	22	.	.	PUNCT
brj-23138	65	1	after	after	ADP
brj-23138	65	2	sufficient	sufficient	ADJ
brj-23138	65	3	immersion	immersion	NOUN
brj-23138	65	4	in	in	ADP
brj-23138	65	5	distilled	distil	VERB
brj-23138	65	6	water	water	NOUN
brj-23138	65	7	for	for	ADP
brj-23138	65	8	0.5	0.5	NUM
brj-23138	65	9	h	h	NOUN
brj-23138	65	10	,	,	PUNCT
brj-23138	65	11	the	the	DET
brj-23138	65	12	maize	maize	NOUN
brj-23138	65	13	silage	silage	NOUN
brj-23138	65	14	extract	extract	NOUN
brj-23138	65	15	was	be	AUX
brj-23138	65	16	prepared	prepare	VERB
brj-23138	65	17	by	by	ADP
brj-23138	65	18	filtering	filter	VERB
brj-23138	65	19	through	through	ADP
brj-23138	65	20	4	4	NUM
brj-23138	65	21	layers	layer	NOUN
brj-23138	65	22	of	of	ADP
brj-23138	65	23	gauze	gauze	NOUN
brj-23138	65	24	.	.	PUNCT
brj-23138	66	1	finally	finally	ADV
brj-23138	66	2	,	,	PUNCT
brj-23138	66	3	the	the	DET
brj-23138	66	4	ph	ph	ADJ
brj-23138	66	5	value	value	NOUN
brj-23138	66	6	of	of	ADP
brj-23138	66	7	the	the	DET
brj-23138	66	8	extracts	extract	NOUN
brj-23138	66	9	was	be	AUX
brj-23138	66	10	measured	measure	VERB
brj-23138	66	11	using	use	VERB
brj-23138	66	12	the	the	DET
brj-23138	66	13	ph	ph	ADJ
brj-23138	66	14	meter	meter	NOUN
brj-23138	66	15	.	.	PUNCT
brj-23138	67	1	each	each	DET
brj-23138	67	2	measurement	measurement	NOUN
brj-23138	67	3	was	be	AUX
brj-23138	67	4	repeated	repeat	VERB
brj-23138	67	5	in	in	ADP
brj-23138	67	6	three	three	NUM
brj-23138	67	7	trials	trial	NOUN
brj-23138	67	8	.	.	PUNCT
brj-23138	68	1	the	the	DET
brj-23138	68	2	average	average	NOUN
brj-23138	68	3	of	of	ADP
brj-23138	68	4	the	the	DET
brj-23138	68	5	three	three	NUM
brj-23138	68	6	measurements	measurement	NOUN
brj-23138	68	7	was	be	AUX
brj-23138	68	8	adopted	adopt	VERB
brj-23138	68	9	as	as	ADP
brj-23138	68	10	the	the	DET
brj-23138	68	11	final	final	ADJ
brj-23138	68	12	ph	ph	NOUN
brj-23138	68	13	value	value	NOUN
brj-23138	68	14	.	.	PUNCT
brj-23138	69	1	this	this	DET
brj-23138	69	2	experimental	experimental	ADJ
brj-23138	69	3	procedure	procedure	NOUN
brj-23138	69	4	was	be	AUX
brj-23138	69	5	performed	perform	VERB
brj-23138	69	6	at	at	ADP
brj-23138	69	7	ambient	ambient	ADJ
brj-23138	69	8	temperature	temperature	NOUN
brj-23138	69	9	(	(	PUNCT
brj-23138	69	10	18	18	NUM
brj-23138	69	11	to	to	PART
brj-23138	69	12	22	22	NUM
brj-23138	69	13	°	°	NOUN
brj-23138	69	14	c	c	NOUN
brj-23138	69	15	)	)	PUNCT
brj-23138	69	16	.	.	PUNCT
brj-23138	70	1	fabrication	fabrication	NOUN
brj-23138	70	2	of	of	ADP
brj-23138	70	3	colorimetric	colorimetric	ADJ
brj-23138	70	4	sensors	sensor	NOUN
brj-23138	70	5	array	array	VERB
brj-23138	70	6	for	for	ADP
brj-23138	70	7	acquiring	acquire	VERB
brj-23138	70	8	the	the	DET
brj-23138	70	9	volatile	volatile	ADJ
brj-23138	70	10	odor	odor	NOUN
brj-23138	70	11	fingerprint	fingerprint	NOUN
brj-23138	70	12	information	information	NOUN
brj-23138	70	13	of	of	ADP
brj-23138	70	14	the	the	DET
brj-23138	70	15	different	different	ADJ
brj-23138	70	16	qualified	qualified	ADJ
brj-23138	70	17	maize	maize	NOUN
brj-23138	70	18	silage	silage	NOUN
brj-23138	70	19	feeds	feed	NOUN
brj-23138	70	20	,	,	PUNCT
brj-23138	70	21	this	this	DET
brj-23138	70	22	study	study	NOUN
brj-23138	70	23	used	use	VERB
brj-23138	70	24	an	an	DET
brj-23138	70	25	olfactory	olfactory	ADJ
brj-23138	70	26	visualization	visualization	NOUN
brj-23138	70	27	sensor	sensor	NOUN
brj-23138	70	28	system	system	NOUN
brj-23138	70	29	developed	develop	VERB
brj-23138	70	30	based	base	VERB
brj-23138	70	31	on	on	ADP
brj-23138	70	32	colorimetric	colorimetric	ADJ
brj-23138	70	33	sensors	sensor	NOUN
brj-23138	70	34	to	to	PART
brj-23138	70	35	capture	capture	VERB
brj-23138	70	36	the	the	DET
brj-23138	70	37	volatile	volatile	ADJ
brj-23138	70	38	odor	odor	NOUN
brj-23138	70	39	of	of	ADP
brj-23138	70	40	the	the	DET
brj-23138	70	41	maize	maize	NOUN
brj-23138	70	42	silage	silage	NOUN
brj-23138	70	43	samples	sample	NOUN
brj-23138	70	44	.	.	PUNCT
brj-23138	71	1	color	color	NOUN
brj-23138	71	2	-	-	PUNCT
brj-23138	71	3	sensitive	sensitive	ADJ
brj-23138	71	4	materials	material	NOUN
brj-23138	71	5	used	use	VERB
brj-23138	71	6	to	to	PART
brj-23138	71	7	fabricate	fabricate	VERB
brj-23138	71	8	colorimetric	colorimetric	ADJ
brj-23138	71	9	sensor	sensor	NOUN
brj-23138	71	10	arrays	array	NOUN
brj-23138	71	11	are	be	AUX
brj-23138	71	12	essential	essential	ADJ
brj-23138	71	13	to	to	ADP
brj-23138	71	14	the	the	DET
brj-23138	71	15	components	component	NOUN
brj-23138	71	16	of	of	ADP
brj-23138	71	17	the	the	DET
brj-23138	71	18	olfactory	olfactory	NOUN
brj-23138	71	19	visualization	visualization	NOUN
brj-23138	71	20	sensor	sensor	NOUN
brj-23138	71	21	system	system	NOUN
brj-23138	71	22	.	.	PUNCT
brj-23138	72	1	thus	thus	ADV
brj-23138	72	2	,	,	PUNCT
brj-23138	72	3	the	the	DET
brj-23138	72	4	selected	select	VERB
brj-23138	72	5	color	color	NOUN
brj-23138	72	6	-	-	PUNCT
brj-23138	72	7	sensitive	sensitive	ADJ
brj-23138	72	8	materials	material	NOUN
brj-23138	72	9	must	must	AUX
brj-23138	72	10	meet	meet	VERB
brj-23138	72	11	the	the	DET
brj-23138	72	12	following	follow	VERB
brj-23138	72	13	requirements	requirement	NOUN
brj-23138	72	14	:	:	PUNCT
brj-23138	72	15	(	(	PUNCT
brj-23138	72	16	1	1	X
brj-23138	72	17	)	)	PUNCT
brj-23138	72	18	the	the	DET
brj-23138	72	19	color	color	NOUN
brj-23138	72	20	-	-	PUNCT
brj-23138	72	21	sensitive	sensitive	ADJ
brj-23138	72	22	material	material	NOUN
brj-23138	72	23	must	must	AUX
brj-23138	72	24	have	have	AUX
brj-23138	72	25	a	a	DET
brj-23138	72	26	functional	functional	ADJ
brj-23138	72	27	group	group	NOUN
brj-23138	72	28	that	that	PRON
brj-23138	72	29	reacts	react	VERB
brj-23138	72	30	chemically	chemically	ADV
brj-23138	72	31	and	and	CCONJ
brj-23138	72	32	strongly	strongly	ADV
brj-23138	72	33	with	with	ADP
brj-23138	72	34	the	the	DET
brj-23138	72	35	measured	measured	ADJ
brj-23138	72	36	substance	substance	NOUN
brj-23138	72	37	,	,	PUNCT
brj-23138	72	38	allowing	allow	VERB
brj-23138	72	39	for	for	ADP
brj-23138	72	40	strong	strong	ADJ
brj-23138	72	41	mutual	mutual	ADJ
brj-23138	72	42	interactions	interaction	NOUN
brj-23138	72	43	;	;	PUNCT
brj-23138	72	44	(	(	PUNCT
brj-23138	72	45	2	2	X
brj-23138	72	46	)	)	PUNCT
brj-23138	72	47	a	a	DET
brj-23138	72	48	significant	significant	ADJ
brj-23138	72	49	color	color	NOUN
brj-23138	72	50	variation	variation	NOUN
brj-23138	72	51	must	must	AUX
brj-23138	72	52	occur	occur	VERB
brj-23138	72	53	when	when	SCONJ
brj-23138	72	54	the	the	DET
brj-23138	72	55	color	color	NOUN
brj-23138	72	56	-	-	PUNCT
brj-23138	72	57	sensitive	sensitive	ADJ
brj-23138	72	58	material	material	NOUN
brj-23138	72	59	responds	respond	VERB
brj-23138	72	60	to	to	ADP
brj-23138	72	61	the	the	DET
brj-23138	72	62	measured	measured	ADJ
brj-23138	72	63	substance	substance	NOUN
brj-23138	72	64	;	;	PUNCT
brj-23138	72	65	(	(	PUNCT
brj-23138	72	66	3	3	X
brj-23138	72	67	)	)	PUNCT
brj-23138	72	68	cross	cross	NOUN
brj-23138	72	69	-	-	NOUN
brj-23138	72	70	sensitivity	sensitivity	NOUN
brj-23138	72	71	among	among	ADP
brj-23138	72	72	color	color	NOUN
brj-23138	72	73	-	-	PUNCT
brj-23138	72	74	sensitive	sensitive	ADJ
brj-23138	72	75	materials	material	NOUN
brj-23138	72	76	,	,	PUNCT
brj-23138	72	77	with	with	ADP
brj-23138	72	78	overall	overall	ADJ
brj-23138	72	79	responsiveness	responsiveness	NOUN
brj-23138	72	80	to	to	ADP
brj-23138	72	81	the	the	DET
brj-23138	72	82	measured	measured	ADJ
brj-23138	72	83	substance	substance	NOUN
brj-23138	72	84	,	,	PUNCT
brj-23138	72	85	which	which	PRON
brj-23138	72	86	can	can	AUX
brj-23138	72	87	form	form	VERB
brj-23138	72	88	odor	odor	NOUN
brj-23138	72	89	characteristic	characteristic	ADJ
brj-23138	72	90	fingerprint	fingerprint	NOUN
brj-23138	72	91	and	and	CCONJ
brj-23138	72	92	facilitate	facilitate	VERB
brj-23138	72	93	qualitative	qualitative	ADJ
brj-23138	72	94	and	and	CCONJ
brj-23138	72	95	quantitative	quantitative	ADJ
brj-23138	72	96	detection	detection	NOUN
brj-23138	72	97	.	.	PUNCT
brj-23138	73	1	in	in	ADP
brj-23138	73	2	accordance	accordance	NOUN
brj-23138	73	3	with	with	ADP
brj-23138	73	4	the	the	DET
brj-23138	73	5	above	above	ADJ
brj-23138	73	6	requirements	requirement	NOUN
brj-23138	73	7	,	,	PUNCT
brj-23138	73	8	after	after	ADP
brj-23138	73	9	initial	initial	ADJ
brj-23138	73	10	experiments	experiment	NOUN
brj-23138	73	11	,	,	PUNCT
brj-23138	73	12	the	the	DET
brj-23138	73	13	volatile	volatile	ADJ
brj-23138	73	14	gas	gas	NOUN
brj-23138	73	15	components	component	NOUN
brj-23138	73	16	of	of	ADP
brj-23138	73	17	maize	maize	NOUN
brj-23138	73	18	silage	silage	NOUN
brj-23138	73	19	were	be	AUX
brj-23138	73	20	detected	detect	VERB
brj-23138	73	21	by	by	ADP
brj-23138	73	22	solid	solid	ADJ
brj-23138	73	23	-	-	PUNCT
brj-23138	73	24	phase	phase	NOUN
brj-23138	73	25	microextraction	microextraction	NOUN
brj-23138	73	26	(	(	PUNCT
brj-23138	73	27	spme	spme	NOUN
brj-23138	73	28	)	)	PUNCT
brj-23138	73	29	and	and	CCONJ
brj-23138	73	30	gas	gas	NOUN
brj-23138	73	31	chromatography	chromatography	NOUN
brj-23138	73	32	-	-	PUNCT
brj-23138	73	33	mass	mass	NOUN
brj-23138	73	34	spectrometry	spectrometry	NOUN
brj-23138	73	35	(	(	PUNCT
brj-23138	73	36	gc	gc	PROPN
brj-23138	73	37	-	-	PUNCT
brj-23138	73	38	ms	ms	NOUN
brj-23138	73	39	)	)	PUNCT
brj-23138	73	40	during	during	ADP
brj-23138	73	41	the	the	DET
brj-23138	73	42	secondary	secondary	ADJ
brj-23138	73	43	fermentation	fermentation	NOUN
brj-23138	73	44	of	of	ADP
brj-23138	73	45	maize	maize	NOUN
brj-23138	73	46	silage	silage	NOUN
brj-23138	73	47	,	,	PUNCT
brj-23138	73	48	including	include	VERB
brj-23138	73	49	acids	acid	NOUN
brj-23138	73	50	,	,	PUNCT
brj-23138	73	51	esters	ester	NOUN
brj-23138	73	52	,	,	PUNCT
brj-23138	73	53	phenols	phenol	NOUN
brj-23138	73	54	,	,	PUNCT
brj-23138	73	55	terpenes	terpene	NOUN
brj-23138	73	56	,	,	PUNCT
brj-23138	73	57	alkanes	alkane	NOUN
brj-23138	73	58	,	,	PUNCT
brj-23138	73	59	heterocyclic	heterocyclic	NOUN
brj-23138	73	60	,	,	PUNCT
brj-23138	73	61	aldehydes	aldehyde	NOUN
brj-23138	73	62	,	,	PUNCT
brj-23138	73	63	alcohols	alcohol	NOUN
brj-23138	73	64	,	,	PUNCT
brj-23138	73	65	etc	etc	X
brj-23138	73	66	.	.	X
brj-23138	73	67	,	,	PUNCT
brj-23138	73	68	with	with	ADP
brj-23138	73	69	phenols	phenol	NOUN
brj-23138	73	70	and	and	CCONJ
brj-23138	73	71	acids	acid	NOUN
brj-23138	73	72	showing	show	VERB
brj-23138	73	73	the	the	DET
brj-23138	73	74	most	most	ADV
brj-23138	73	75	significant	significant	ADJ
brj-23138	73	76	changes	change	NOUN
brj-23138	73	77	in	in	ADP
brj-23138	73	78	the	the	DET
brj-23138	73	79	fermentation	fermentation	NOUN
brj-23138	73	80	process	process	NOUN
brj-23138	73	81	.	.	PUNCT
brj-23138	74	1	to	to	PART
brj-23138	74	2	precisely	precisely	ADV
brj-23138	74	3	capture	capture	VERB
brj-23138	74	4	these	these	DET
brj-23138	74	5	key	key	ADJ
brj-23138	74	6	odor	odor	NOUN
brj-23138	74	7	molecules	molecule	NOUN
brj-23138	74	8	,	,	PUNCT
brj-23138	74	9	metalloporphyrin	metalloporphyrin	NOUN
brj-23138	74	10	complexes	complex	NOUN
brj-23138	74	11	containing	contain	VERB
brj-23138	74	12	different	different	ADJ
brj-23138	74	13	active	active	ADJ
brj-23138	74	14	metal	metal	NOUN
brj-23138	74	15	ions	ion	NOUN
brj-23138	74	16	(	(	PUNCT
brj-23138	74	17	e.g.	e.g.	ADV
brj-23138	74	18	,	,	PUNCT
brj-23138	74	19	zinc	zinc	NOUN
brj-23138	74	20	,	,	PUNCT
brj-23138	74	21	copper	copper	NOUN
brj-23138	74	22	,	,	PUNCT
brj-23138	74	23	iron	iron	NOUN
brj-23138	74	24	,	,	PUNCT
brj-23138	74	25	and	and	CCONJ
brj-23138	74	26	cobalt	cobalt	NOUN
brj-23138	74	27	)	)	PUNCT
brj-23138	74	28	were	be	AUX
brj-23138	74	29	selected	select	VERB
brj-23138	74	30	for	for	ADP
brj-23138	74	31	the	the	DET
brj-23138	74	32	design	design	NOUN
brj-23138	74	33	of	of	ADP
brj-23138	74	34	this	this	DET
brj-23138	74	35	assay	assay	NOUN
brj-23138	74	36	,	,	PUNCT
brj-23138	74	37	and	and	CCONJ
brj-23138	74	38	eight	eight	NUM
brj-23138	74	39	kinds	kind	NOUN
brj-23138	74	40	of	of	ADP
brj-23138	74	41	porphyrin	porphyrin	NOUN
brj-23138	74	42	(	(	PUNCT
brj-23138	74	43	sigma	sigma	PROPN
brj-23138	74	44	-	-	PUNCT
brj-23138	74	45	aldrich	aldrich	PROPN
brj-23138	74	46	,	,	PUNCT
brj-23138	74	47	usa	usa	PROPN
brj-23138	74	48	)	)	PUNCT
brj-23138	74	49	were	be	AUX
brj-23138	74	50	screened	screen	VERB
brj-23138	74	51	and	and	CCONJ
brj-23138	74	52	identified	identify	VERB
brj-23138	74	53	for	for	SCONJ
brj-23138	74	54	the	the	DET
brj-23138	74	55	constructed	construct	VERB
brj-23138	74	56	colorimetric	colorimetric	ADJ
brj-23138	74	57	sensor	sensor	NOUN
brj-23138	74	58	arrays	array	VERB
brj-23138	74	59	.	.	PUNCT
brj-23138	75	1	moreover	moreover	ADV
brj-23138	75	2	,	,	PUNCT
brj-23138	75	3	four	four	NUM
brj-23138	75	4	ph	ph	ADJ
brj-23138	75	5	indicators	indicator	NOUN
brj-23138	75	6	(	(	PUNCT
brj-23138	75	7	sino	sino	ADJ
brj-23138	75	8	-	-	PUNCT
brj-23138	75	9	pharm	pharm	NOUN
brj-23138	75	10	,	,	PUNCT
brj-23138	75	11	shanghai	shanghai	PROPN
brj-23138	75	12	,	,	PUNCT
brj-23138	75	13	china	china	PROPN
brj-23138	75	14	)	)	PUNCT
brj-23138	75	15	with	with	ADP
brj-23138	75	16	different	different	ADJ
brj-23138	75	17	chromogenic	chromogenic	ADJ
brj-23138	75	18	ranges	range	NOUN
brj-23138	75	19	were	be	AUX
brj-23138	75	20	introduced	introduce	VERB
brj-23138	75	21	to	to	PART
brj-23138	75	22	complement	complement	VERB
brj-23138	75	23	the	the	DET
brj-23138	75	24	sensor	sensor	NOUN
brj-23138	75	25	array	array	NOUN
brj-23138	75	26	to	to	PART
brj-23138	75	27	improve	improve	VERB
brj-23138	75	28	the	the	DET
brj-23138	75	29	sensitivity	sensitivity	NOUN
brj-23138	75	30	and	and	CCONJ
brj-23138	75	31	broad	broad	ADJ
brj-23138	75	32	-	-	PUNCT
brj-23138	75	33	spectrum	spectrum	NOUN
brj-23138	75	34	of	of	ADP
brj-23138	75	35	detection	detection	NOUN
brj-23138	75	36	as	as	ADP
brj-23138	75	37	weakly	weakly	ADV
brj-23138	75	38	acidic	acidic	ADJ
brj-23138	75	39	and	and	CCONJ
brj-23138	75	40	weakly	weakly	ADJ
brj-23138	75	41	basic	basic	ADJ
brj-23138	75	42	volatiles	volatile	NOUN
brj-23138	75	43	may	may	AUX
brj-23138	75	44	be	be	AUX
brj-23138	75	45	present	present	ADJ
brj-23138	75	46	in	in	ADP
brj-23138	75	47	the	the	DET
brj-23138	75	48	forage	forage	NOUN
brj-23138	75	49	.	.	PUNCT
brj-23138	76	1	table	table	NOUN
brj-23138	76	2	1	1	NUM
brj-23138	76	3	lists	list	NOUN
brj-23138	76	4	12	12	NUM
brj-23138	76	5	color	color	NOUN
brj-23138	76	6	-	-	PUNCT
brj-23138	76	7	sensitive	sensitive	ADJ
brj-23138	76	8	dyes	dye	NOUN
brj-23138	76	9	employed	employ	VERB
brj-23138	76	10	to	to	PART
brj-23138	76	11	fabricate	fabricate	VERB
brj-23138	76	12	olfactory	olfactory	ADJ
brj-23138	76	13	sensor	sensor	NOUN
brj-23138	76	14	arrays	array	VERB
brj-23138	76	15	.	.	PUNCT
brj-23138	77	1	for	for	ADP
brj-23138	77	2	preserving	preserve	VERB
brj-23138	77	3	color	color	NOUN
brj-23138	77	4	information	information	NOUN
brj-23138	77	5	accuracy	accuracy	NOUN
brj-23138	77	6	,	,	PUNCT
brj-23138	77	7	the	the	DET
brj-23138	77	8	color	color	NOUN
brj-23138	77	9	-	-	PUNCT
brj-23138	77	10	sensitive	sensitive	ADJ
brj-23138	77	11	material	material	NOUN
brj-23138	77	12	needs	need	VERB
brj-23138	77	13	to	to	PART
brj-23138	77	14	be	be	AUX
brj-23138	77	15	placed	place	VERB
brj-23138	77	16	on	on	ADP
brj-23138	77	17	a	a	DET
brj-23138	77	18	pure	pure	ADJ
brj-23138	77	19	white	white	ADJ
brj-23138	77	20	substrate	substrate	NOUN
brj-23138	77	21	.	.	PUNCT
brj-23138	78	1	moreover	moreover	ADV
brj-23138	78	2	,	,	PUNCT
brj-23138	78	3	the	the	DET
brj-23138	78	4	substrate	substrate	NOUN
brj-23138	78	5	material	material	NOUN
brj-23138	78	6	is	be	AUX
brj-23138	78	7	hydrophobic	hydrophobic	ADJ
brj-23138	78	8	for	for	ADP
brj-23138	78	9	protection	protection	NOUN
brj-23138	78	10	against	against	ADP
brj-23138	78	11	ambient	ambient	ADJ
brj-23138	78	12	humidity	humidity	NOUN
brj-23138	78	13	.	.	PUNCT
brj-23138	79	1	therefore	therefore	ADV
brj-23138	79	2	,	,	PUNCT
brj-23138	79	3	a	a	DET
brj-23138	79	4	c2	c2	PROPN
brj-23138	79	5	reverse	reverse	NOUN
brj-23138	79	6	-	-	PUNCT
brj-23138	79	7	phase	phase	NOUN
brj-23138	79	8	silica	silica	NOUN
brj-23138	79	9	gel	gel	NOUN
brj-23138	79	10	plate	plate	NOUN
brj-23138	79	11	was	be	AUX
brj-23138	79	12	selected	select	VERB
brj-23138	79	13	as	as	ADP
brj-23138	79	14	the	the	DET
brj-23138	79	15	substrate	substrate	NOUN
brj-23138	79	16	material	material	NOUN
brj-23138	79	17	.	.	PUNCT
brj-23138	80	1	the	the	DET
brj-23138	80	2	detailed	detailed	ADJ
brj-23138	80	3	steps	step	NOUN
brj-23138	80	4	for	for	ADP
brj-23138	80	5	making	make	VERB
brj-23138	80	6	sensors	sensor	NOUN
brj-23138	80	7	were	be	AUX
brj-23138	80	8	as	as	SCONJ
brj-23138	80	9	follows	follow	VERB
brj-23138	80	10	:	:	PUNCT
brj-23138	80	11	(	(	PUNCT
brj-23138	80	12	1	1	X
brj-23138	80	13	)	)	PUNCT
brj-23138	80	14	cut	cut	VERB
brj-23138	80	15	the	the	DET
brj-23138	80	16	4	4	NUM
brj-23138	80	17	×	×	NOUN
brj-23138	80	18	4	4	NUM
brj-23138	80	19	cm	cm	NOUN
brj-23138	80	20	rectangular	rectangular	ADJ
brj-23138	80	21	substrates	substrate	NOUN
brj-23138	80	22	out	out	ADP
brj-23138	80	23	of	of	ADP
brj-23138	80	24	c2	c2	PROPN
brj-23138	80	25	reversed	reverse	VERB
brj-23138	80	26	-	-	PUNCT
brj-23138	80	27	phase	phase	NOUN
brj-23138	80	28	silica	silica	NOUN
brj-23138	80	29	gel	gel	NOUN
brj-23138	80	30	plates	plate	NOUN
brj-23138	80	31	;	;	PUNCT
brj-23138	80	32	(	(	PUNCT
brj-23138	80	33	2	2	X
brj-23138	80	34	)	)	PUNCT
brj-23138	80	35	dissolve	dissolve	VERB
brj-23138	80	36	10	10	NUM
brj-23138	80	37	mg	mg	NOUN
brj-23138	80	38	of	of	ADP
brj-23138	80	39	porphyrin	porphyrin	NOUN
brj-23138	80	40	fully	fully	ADV
brj-23138	80	41	in	in	ADP
brj-23138	80	42	5	5	NUM
brj-23138	80	43	ml	ml	NOUN
brj-23138	80	44	of	of	ADP
brj-23138	80	45	dichloromethane	dichloromethane	NOUN
brj-23138	80	46	and	and	CCONJ
brj-23138	80	47	dissolve	dissolve	VERB
brj-23138	80	48	10	10	NUM
brj-23138	80	49	mg	mg	NOUN
brj-23138	80	50	of	of	ADP
brj-23138	80	51	ph	ph	ADJ
brj-23138	80	52	reagent	reagent	NOUN
brj-23138	80	53	fully	fully	ADV
brj-23138	80	54	in	in	ADP
brj-23138	80	55	5	5	NUM
brj-23138	80	56	ml	ml	NOUN
brj-23138	80	57	of	of	ADP
brj-23138	80	58	anhydrous	anhydrous	ADJ
brj-23138	80	59	ethanol	ethanol	NOUN
brj-23138	80	60	;	;	PUNCT
brj-23138	80	61	(	(	PUNCT
brj-23138	80	62	3	3	X
brj-23138	80	63	)	)	PUNCT
brj-23138	80	64	close	close	VERB
brj-23138	80	65	the	the	DET
brj-23138	80	66	prepared	prepare	VERB
brj-23138	80	67	solutions	solution	NOUN
brj-23138	80	68	hermetically	hermetically	NOUN
brj-23138	80	69	and	and	CCONJ
brj-23138	80	70	sonicated	sonicate	VERB
brj-23138	80	71	for	for	ADP
brj-23138	80	72	15	15	NUM
brj-23138	80	73	min	min	NOUN
brj-23138	80	74	to	to	PART
brj-23138	80	75	achieve	achieve	VERB
brj-23138	80	76	the	the	DET
brj-23138	80	77	2	2	NUM
brj-23138	80	78	mg	mg	NUM
brj-23138	80	79	/	/	SYM
brj-23138	80	80	ml	ml	NOUN
brj-23138	80	81	solution	solution	NOUN
brj-23138	80	82	,	,	PUNCT
brj-23138	80	83	and	and	CCONJ
brj-23138	80	84	then	then	ADV
brj-23138	80	85	preserved	preserve	VERB
brj-23138	80	86	in	in	ADP
brj-23138	80	87	the	the	DET
brj-23138	80	88	dark	dark	NOUN
brj-23138	80	89	;	;	PUNCT
brj-23138	80	90	(	(	PUNCT
brj-23138	80	91	4	4	X
brj-23138	80	92	)	)	PUNCT
brj-23138	80	93	use	use	VERB
brj-23138	80	94	100	100	NUM
brj-23138	80	95	×	×	NOUN
brj-23138	80	96	0.3	0.3	NUM
brj-23138	80	97	mm	mm	NOUN
brj-23138	80	98	microcapillary	microcapillary	ADJ
brj-23138	80	99	to	to	PART
brj-23138	80	100	extract	extract	VERB
brj-23138	80	101	approximate	approximate	ADJ
brj-23138	80	102	1	1	NUM
brj-23138	80	103	μl	μl	ADP
brj-23138	80	104	dissolved	dissolve	VERB
brj-23138	80	105	solution	solution	NOUN
brj-23138	80	106	,	,	PUNCT
brj-23138	80	107	then	then	ADV
brj-23138	80	108	immobilize	immobilize	VERB
brj-23138	80	109	it	it	PRON
brj-23138	80	110	on	on	ADP
brj-23138	80	111	a	a	DET
brj-23138	80	112	c2	c2	PROPN
brj-23138	80	113	reverse	reverse	NOUN
brj-23138	80	114	-	-	PUNCT
brj-23138	80	115	phase	phase	NOUN
brj-23138	80	116	silica	silica	NOUN
brj-23138	80	117	gel	gel	NOUN
brj-23138	80	118	plate	plate	NOUN
brj-23138	80	119	,	,	PUNCT
brj-23138	80	120	fabricating	fabricate	VERB
brj-23138	80	121	the	the	DET
brj-23138	80	122	4	4	NUM
brj-23138	80	123	×	×	NOUN
brj-23138	80	124	3	3	NUM
brj-23138	80	125	colorimetric	colorimetric	ADJ
brj-23138	80	126	sensor	sensor	NOUN
brj-23138	80	127	array	array	NOUN
brj-23138	80	128	.	.	PUNCT
brj-23138	81	1	the	the	DET
brj-23138	81	2	sensors	sensor	NOUN
brj-23138	81	3	were	be	AUX
brj-23138	81	4	comprised	comprise	VERB
brj-23138	81	5	of	of	ADP
brj-23138	81	6	well	well	ADV
brj-23138	81	7	-	-	PUNCT
brj-23138	81	8	arranged	arrange	VERB
brj-23138	81	9	4	4	NUM
brj-23138	81	10	×	×	NOUN
brj-23138	81	11	3	3	NUM
brj-23138	81	12	sensor	sensor	NOUN
brj-23138	81	13	elements	element	NOUN
brj-23138	81	14	,	,	PUNCT
brj-23138	81	15	each	each	PRON
brj-23138	81	16	of	of	ADP
brj-23138	81	17	which	which	PRON
brj-23138	81	18	was	be	AUX
brj-23138	81	19	sized	size	VERB
brj-23138	81	20	at	at	ADP
brj-23138	81	21	ф3	ф3	PROPN
brj-23138	81	22	mm	mm	PROPN
brj-23138	81	23	,	,	PUNCT
brj-23138	81	24	and	and	CCONJ
brj-23138	81	25	(	(	PUNCT
brj-23138	81	26	4	4	X
brj-23138	81	27	)	)	PUNCT
brj-23138	81	28	the	the	DET
brj-23138	81	29	constructed	construct	VERB
brj-23138	81	30	sensor	sensor	NOUN
brj-23138	81	31	arrays	array	NOUN
brj-23138	81	32	were	be	AUX
brj-23138	81	33	stabilized	stabilize	VERB
brj-23138	81	34	in	in	ADP
brj-23138	81	35	a	a	DET
brj-23138	81	36	fume	fume	NOUN
brj-23138	81	37	hood	hood	NOUN
brj-23138	81	38	for	for	ADP
brj-23138	81	39	30	30	NUM
brj-23138	81	40	min	min	NOUN
brj-23138	81	41	and	and	CCONJ
brj-23138	81	42	then	then	ADV
brj-23138	81	43	stored	store	VERB
brj-23138	81	44	individually	individually	ADV
brj-23138	81	45	in	in	ADP
brj-23138	81	46	plastic	plastic	ADJ
brj-23138	81	47	packing	packing	NOUN
brj-23138	81	48	bags	bag	NOUN
brj-23138	81	49	for	for	ADP
brj-23138	81	50	further	further	ADJ
brj-23138	81	51	experiments	experiment	NOUN
brj-23138	81	52	.	.	PUNCT
brj-23138	82	1	peer	peer	NOUN
brj-23138	82	2	-	-	PUNCT
brj-23138	82	3	reviewed	review	VERB
brj-23138	82	4	article	article	NOUN
brj-23138	82	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	82	6	tao	tao	PROPN
brj-23138	82	7	et	et	PROPN
brj-23138	82	8	al	al	PROPN
brj-23138	82	9	.	.	PROPN
brj-23138	83	1	(	(	PUNCT
brj-23138	83	2	2024	2024	NUM
brj-23138	83	3	)	)	PUNCT
brj-23138	83	4	.	.	PUNCT
brj-23138	84	1	“	"	PUNCT
brj-23138	84	2	maize	maize	VERB
brj-23138	84	3	silage	silage	NOUN
brj-23138	84	4	quality	quality	NOUN
brj-23138	84	5	testing	testing	NOUN
brj-23138	84	6	,	,	PUNCT
brj-23138	84	7	”	"	PUNCT
brj-23138	84	8	bioresources	bioresource	NOUN
brj-23138	84	9	19(2	19(2	NUM
brj-23138	84	10	)	)	PUNCT
brj-23138	84	11	,	,	PUNCT
brj-23138	84	12	3597	3597	NUM
brj-23138	84	13	-	-	SYM
brj-23138	84	14	3613	3613	NUM
brj-23138	84	15	.	.	PUNCT
brj-23138	85	1	3601	3601	NUM
brj-23138	85	2	table	table	NOUN
brj-23138	85	3	1	1	NUM
brj-23138	85	4	.	.	PUNCT
brj-23138	85	5	twelve	twelve	NUM
brj-23138	85	6	color	color	NOUN
brj-23138	85	7	-	-	PUNCT
brj-23138	85	8	sensitive	sensitive	ADJ
brj-23138	85	9	dyes	dye	NOUN
brj-23138	85	10	on	on	ADP
brj-23138	85	11	the	the	DET
brj-23138	85	12	colorimetric	colorimetric	ADJ
brj-23138	85	13	sensor	sensor	NOUN
brj-23138	85	14	array	array	VERB
brj-23138	85	15	number	number	NOUN
brj-23138	85	16	name	name	NOUN
brj-23138	85	17	1	1	NUM
brj-23138	85	18	2,3,7,8,12,13,17,18	2,3,7,8,12,13,17,18	NUM
brj-23138	85	19	-	-	NOUN
brj-23138	85	20	octaethyl-21h,23h	octaethyl-21h,23h	ADJ
brj-23138	85	21	-	-	NOUN
brj-23138	85	22	porphine	porphine	NOUN
brj-23138	85	23	2	2	NUM
brj-23138	85	24	5,10,15,20	5,10,15,20	NUM
brj-23138	85	25	-	-	PUNCT
brj-23138	85	26	tetrakis	tetraki	NOUN
brj-23138	85	27	(	(	PUNCT
brj-23138	85	28	4-(methoxycarbonyl)phenyl)porphirinato]iron	4-(methoxycarbonyl)phenyl)porphirinato]iron	NUM
brj-23138	85	29	(	(	PUNCT
brj-23138	85	30	iii	iii	NOUN
brj-23138	85	31	)	)	PUNCT
brj-23138	85	32	chloride	chloride	NOUN
brj-23138	85	33	3	3	NUM
brj-23138	85	34	5,10,15,20	5,10,15,20	NUM
brj-23138	85	35	-	-	PUNCT
brj-23138	85	36	tetrakis	tetraki	NOUN
brj-23138	85	37	(	(	PUNCT
brj-23138	85	38	4	4	NUM
brj-23138	85	39	-	-	PUNCT
brj-23138	85	40	methoxyphenyl)-21,22	methoxyphenyl)-21,22	NOUN
brj-23138	85	41	-	-	PUNCT
brj-23138	85	42	dihydroporphyrin	dihydroporphyrin	NOUN
brj-23138	85	43	4	4	NUM
brj-23138	85	44	5,10,15,20	5,10,15,20	NUM
brj-23138	85	45	-	-	PUNCT
brj-23138	85	46	tetrakis	tetraki	NOUN
brj-23138	85	47	(	(	PUNCT
brj-23138	85	48	4	4	NUM
brj-23138	85	49	-	-	PUNCT
brj-23138	85	50	methoxyphenyl)-21h,23h	methoxyphenyl)-21h,23h	NOUN
brj-23138	85	51	-	-	NOUN
brj-23138	85	52	porphyrine	porphyrine	NOUN
brj-23138	85	53	cobalt(ii	cobalt(ii	VERB
brj-23138	85	54	)	)	PUNCT
brj-23138	85	55	5	5	NUM
brj-23138	85	56	5,10,15,20	5,10,15,20	NUM
brj-23138	85	57	-	-	PUNCT
brj-23138	85	58	tetraphenyl-21h,23h	tetraphenyl-21h,23h	NOUN
brj-23138	85	59	-	-	PUNCT
brj-23138	85	60	porphyrin	porphyrin	NOUN
brj-23138	85	61	6	6	NUM
brj-23138	85	62	5,10,15,20	5,10,15,20	NUM
brj-23138	85	63	-	-	PUNCT
brj-23138	85	64	tetraphenyl-21,22	tetraphenyl-21,22	NOUN
brj-23138	85	65	-	-	PUNCT
brj-23138	85	66	dihydroporphyrin	dihydroporphyrin	NOUN
brj-23138	85	67	zinc	zinc	NOUN
brj-23138	85	68	7	7	NUM
brj-23138	85	69	5,10,15,20	5,10,15,20	NUM
brj-23138	85	70	-	-	PUNCT
brj-23138	85	71	tetraphenyl-21h,23h	tetraphenyl-21h,23h	NOUN
brj-23138	85	72	-	-	PUNCT
brj-23138	85	73	porphine	porphine	NOUN
brj-23138	85	74	copper	copper	NOUN
brj-23138	85	75	8	8	NUM
brj-23138	85	76	5,10,15,20	5,10,15,20	NUM
brj-23138	85	77	-	-	PUNCT
brj-23138	85	78	tetraphenyl-21h,23h	tetraphenyl-21h,23h	NOUN
brj-23138	85	79	-	-	PUNCT
brj-23138	85	80	porphine	porphine	NOUN
brj-23138	85	81	iron	iron	NOUN
brj-23138	85	82	(	(	PUNCT
brj-23138	85	83	iii	iii	NOUN
brj-23138	85	84	)	)	PUNCT
brj-23138	85	85	chloride	chloride	NOUN
brj-23138	85	86	9	9	NUM
brj-23138	85	87	bromocresol	bromocresol	NOUN
brj-23138	85	88	green	green	ADJ
brj-23138	85	89	10	10	NUM
brj-23138	85	90	bromothymol	bromothymol	ADJ
brj-23138	85	91	blue	blue	ADJ
brj-23138	85	92	11	11	NUM
brj-23138	85	93	neutral	neutral	ADJ
brj-23138	85	94	red	red	ADJ
brj-23138	85	95	12	12	NUM
brj-23138	85	96	cresol	cresol	NOUN
brj-23138	85	97	red	red	ADJ
brj-23138	85	98	acquisition	acquisition	NOUN
brj-23138	85	99	of	of	ADP
brj-23138	85	100	sensor	sensor	NOUN
brj-23138	85	101	array	array	VERB
brj-23138	85	102	images	image	NOUN
brj-23138	85	103	and	and	CCONJ
brj-23138	85	104	pre	pre	ADJ
brj-23138	85	105	-	-	ADJ
brj-23138	85	106	processing	processing	ADJ
brj-23138	85	107	figure	figure	NOUN
brj-23138	85	108	1	1	NUM
brj-23138	85	109	shows	show	VERB
brj-23138	85	110	the	the	DET
brj-23138	85	111	data	datum	NOUN
brj-23138	85	112	acquisition	acquisition	NOUN
brj-23138	85	113	and	and	CCONJ
brj-23138	85	114	processing	processing	NOUN
brj-23138	85	115	of	of	ADP
brj-23138	85	116	the	the	DET
brj-23138	85	117	olfactory	olfactory	NOUN
brj-23138	85	118	visualization	visualization	NOUN
brj-23138	85	119	sensor	sensor	NOUN
brj-23138	85	120	system	system	NOUN
brj-23138	85	121	.	.	PUNCT
brj-23138	86	1	the	the	DET
brj-23138	86	2	pre	pre	ADJ
brj-23138	86	3	-	-	ADJ
brj-23138	86	4	reaction	reaction	ADJ
brj-23138	86	5	image	image	NOUN
brj-23138	86	6	of	of	ADP
brj-23138	86	7	the	the	DET
brj-23138	86	8	sensor	sensor	NOUN
brj-23138	86	9	array	array	NOUN
brj-23138	86	10	was	be	AUX
brj-23138	86	11	scanned	scan	VERB
brj-23138	86	12	using	use	VERB
brj-23138	86	13	an	an	DET
brj-23138	86	14	hp	hp	ADJ
brj-23138	86	15	scanjet	scanjet	NOUN
brj-23138	86	16	2600f1	2600f1	PROPN
brj-23138	86	17	flatbed	flatbe	VERB
brj-23138	86	18	scanner	scanner	NOUN
brj-23138	86	19	at	at	ADP
brj-23138	86	20	a	a	DET
brj-23138	86	21	resolution	resolution	NOUN
brj-23138	86	22	of	of	ADP
brj-23138	86	23	1200	1200	NUM
brj-23138	86	24	dpi	dpi	NOUN
brj-23138	86	25	.	.	PUNCT
brj-23138	87	1	in	in	ADP
brj-23138	87	2	this	this	DET
brj-23138	87	3	study	study	NOUN
brj-23138	87	4	,	,	PUNCT
brj-23138	87	5	50	50	NUM
brj-23138	87	6	±	±	NUM
brj-23138	87	7	0.1	0.1	NUM
brj-23138	87	8	g	g	NOUN
brj-23138	87	9	of	of	ADP
brj-23138	87	10	maize	maize	NOUN
brj-23138	87	11	silage	silage	NOUN
brj-23138	87	12	feed	feed	NOUN
brj-23138	87	13	samples	sample	NOUN
brj-23138	87	14	were	be	AUX
brj-23138	87	15	placed	place	VERB
brj-23138	87	16	in	in	ADP
brj-23138	87	17	a	a	DET
brj-23138	87	18	beaker	beaker	NOUN
brj-23138	87	19	with	with	ADP
brj-23138	87	20	a	a	DET
brj-23138	87	21	diameter	diameter	NOUN
brj-23138	87	22	of	of	ADP
brj-23138	87	23	60	60	NUM
brj-23138	87	24	mm	mm	NOUN
brj-23138	87	25	.	.	PUNCT
brj-23138	88	1	the	the	DET
brj-23138	88	2	colorimetric	colorimetric	ADJ
brj-23138	88	3	sensor	sensor	NOUN
brj-23138	88	4	array	array	NOUN
brj-23138	88	5	was	be	AUX
brj-23138	88	6	secured	secure	VERB
brj-23138	88	7	to	to	ADP
brj-23138	88	8	the	the	DET
brj-23138	88	9	back	back	ADJ
brj-23138	88	10	side	side	NOUN
brj-23138	88	11	of	of	ADP
brj-23138	88	12	the	the	DET
brj-23138	88	13	plastic	plastic	ADJ
brj-23138	88	14	wrap	wrap	NOUN
brj-23138	88	15	while	while	SCONJ
brj-23138	88	16	the	the	DET
brj-23138	88	17	front	front	ADJ
brj-23138	88	18	side	side	NOUN
brj-23138	88	19	was	be	AUX
brj-23138	88	20	facing	face	VERB
brj-23138	88	21	the	the	DET
brj-23138	88	22	maize	maize	NOUN
brj-23138	88	23	silage	silage	NOUN
brj-23138	88	24	samples	sample	NOUN
brj-23138	88	25	.	.	PUNCT
brj-23138	89	1	the	the	DET
brj-23138	89	2	beaker	beaker	NOUN
brj-23138	89	3	was	be	AUX
brj-23138	89	4	hermetically	hermetically	NOUN
brj-23138	89	5	closed	close	VERB
brj-23138	89	6	with	with	ADP
brj-23138	89	7	plastic	plastic	ADJ
brj-23138	89	8	wrap	wrap	NOUN
brj-23138	89	9	,	,	PUNCT
brj-23138	89	10	and	and	CCONJ
brj-23138	89	11	the	the	DET
brj-23138	89	12	reaction	reaction	NOUN
brj-23138	89	13	was	be	AUX
brj-23138	89	14	carried	carry	VERB
brj-23138	89	15	out	out	ADP
brj-23138	89	16	at	at	ADP
brj-23138	89	17	ambient	ambient	ADJ
brj-23138	89	18	temperature	temperature	NOUN
brj-23138	89	19	for	for	ADP
brj-23138	89	20	25	25	NUM
brj-23138	89	21	min	min	NOUN
brj-23138	89	22	.	.	PROPN
brj-23138	90	1	then	then	ADV
brj-23138	90	2	,	,	PUNCT
brj-23138	90	3	the	the	DET
brj-23138	90	4	sensor	sensor	NOUN
brj-23138	90	5	array	array	NOUN
brj-23138	90	6	was	be	AUX
brj-23138	90	7	scanned	scan	VERB
brj-23138	90	8	again	again	ADV
brj-23138	90	9	after	after	ADP
brj-23138	90	10	the	the	DET
brj-23138	90	11	response	response	NOUN
brj-23138	90	12	to	to	PART
brj-23138	90	13	acquire	acquire	VERB
brj-23138	90	14	the	the	DET
brj-23138	90	15	post	post	ADJ
brj-23138	90	16	-	-	ADJ
brj-23138	90	17	reaction	reaction	ADJ
brj-23138	90	18	image	image	NOUN
brj-23138	90	19	data	datum	NOUN
brj-23138	90	20	.	.	PUNCT
brj-23138	91	1	the	the	DET
brj-23138	91	2	sensor	sensor	NOUN
brj-23138	91	3	image	image	NOUN
brj-23138	91	4	pre	pre	ADJ
brj-23138	91	5	-	-	ADJ
brj-23138	91	6	processing	processing	ADJ
brj-23138	91	7	procedures	procedure	NOUN
brj-23138	91	8	were	be	AUX
brj-23138	91	9	as	as	SCONJ
brj-23138	91	10	follows	follow	VERB
brj-23138	91	11	.	.	PUNCT
brj-23138	92	1	(	(	PUNCT
brj-23138	92	2	1	1	X
brj-23138	92	3	)	)	PUNCT
brj-23138	92	4	the	the	DET
brj-23138	92	5	colorimetric	colorimetric	ADJ
brj-23138	92	6	sensor	sensor	NOUN
brj-23138	92	7	array	array	VERB
brj-23138	92	8	image	image	NOUN
brj-23138	92	9	was	be	AUX
brj-23138	92	10	sequentially	sequentially	ADV
brj-23138	92	11	preprocessed	preprocesse	VERB
brj-23138	92	12	with	with	ADP
brj-23138	92	13	median	median	ADJ
brj-23138	92	14	filtering	filtering	NOUN
brj-23138	92	15	,	,	PUNCT
brj-23138	92	16	binarization	binarization	NOUN
brj-23138	92	17	,	,	PUNCT
brj-23138	92	18	and	and	CCONJ
brj-23138	92	19	morphological	morphological	ADJ
brj-23138	92	20	processing	processing	NOUN
brj-23138	92	21	by	by	ADP
brj-23138	92	22	opencv	opencv	PROPN
brj-23138	92	23	to	to	PART
brj-23138	92	24	acquire	acquire	VERB
brj-23138	92	25	the	the	DET
brj-23138	92	26	center	center	NOUN
brj-23138	92	27	of	of	ADP
brj-23138	92	28	each	each	DET
brj-23138	92	29	sensor	sensor	NOUN
brj-23138	92	30	element	element	NOUN
brj-23138	92	31	,	,	PUNCT
brj-23138	92	32	and	and	CCONJ
brj-23138	92	33	the	the	DET
brj-23138	92	34	region	region	NOUN
brj-23138	92	35	of	of	ADP
brj-23138	92	36	interest	interest	NOUN
brj-23138	92	37	of	of	ADP
brj-23138	92	38	each	each	DET
brj-23138	92	39	sensor	sensor	NOUN
brj-23138	92	40	element	element	NOUN
brj-23138	92	41	was	be	AUX
brj-23138	92	42	segmented	segment	VERB
brj-23138	92	43	by	by	ADP
brj-23138	92	44	combining	combine	VERB
brj-23138	92	45	the	the	DET
brj-23138	92	46	flood	flood	NOUN
brj-23138	92	47	-	-	PUNCT
brj-23138	92	48	fill	fill	NOUN
brj-23138	92	49	algorithm	algorithm	NOUN
brj-23138	92	50	.	.	PUNCT
brj-23138	93	1	(	(	PUNCT
brj-23138	93	2	2	2	X
brj-23138	93	3	)	)	PUNCT
brj-23138	93	4	the	the	DET
brj-23138	93	5	next	next	ADJ
brj-23138	93	6	step	step	NOUN
brj-23138	93	7	was	be	AUX
brj-23138	93	8	to	to	PART
brj-23138	93	9	calculate	calculate	VERB
brj-23138	93	10	the	the	DET
brj-23138	93	11	average	average	ADJ
brj-23138	93	12	gray	gray	ADJ
brj-23138	93	13	scale	scale	NOUN
brj-23138	93	14	value	value	NOUN
brj-23138	93	15	for	for	ADP
brj-23138	93	16	the	the	DET
brj-23138	93	17	components	component	NOUN
brj-23138	93	18	of	of	ADP
brj-23138	93	19	the	the	DET
brj-23138	93	20	sensor	sensor	NOUN
brj-23138	93	21	element	element	NOUN
brj-23138	93	22	at	at	ADP
brj-23138	93	23	three	three	NUM
brj-23138	93	24	color	color	NOUN
brj-23138	93	25	spaces	space	NOUN
brj-23138	93	26	(	(	PUNCT
brj-23138	93	27	rgb	rgb	PROPN
brj-23138	93	28	,	,	PUNCT
brj-23138	93	29	hsv	hsv	PROPN
brj-23138	93	30	,	,	PUNCT
brj-23138	93	31	lab	lab	NOUN
brj-23138	93	32	)	)	PUNCT
brj-23138	93	33	.	.	PUNCT
brj-23138	94	1	(	(	PUNCT
brj-23138	94	2	3	3	X
brj-23138	94	3	)	)	PUNCT
brj-23138	94	4	the	the	DET
brj-23138	94	5	mean	mean	ADJ
brj-23138	94	6	values	value	NOUN
brj-23138	94	7	of	of	ADP
brj-23138	94	8	the	the	DET
brj-23138	94	9	grey	grey	ADJ
brj-23138	94	10	scale	scale	NOUN
brj-23138	94	11	of	of	ADP
brj-23138	94	12	the	the	DET
brj-23138	94	13	reacted	react	VERB
brj-23138	94	14	and	and	CCONJ
brj-23138	94	15	original	original	ADJ
brj-23138	94	16	preprocessed	preprocesse	VERB
brj-23138	94	17	images	image	NOUN
brj-23138	94	18	were	be	AUX
brj-23138	94	19	subtracted	subtract	VERB
brj-23138	94	20	to	to	PART
brj-23138	94	21	gain	gain	VERB
brj-23138	94	22	their	their	PRON
brj-23138	94	23	color	color	NOUN
brj-23138	94	24	differences	difference	NOUN
brj-23138	94	25	values	value	NOUN
brj-23138	94	26	.	.	PUNCT
brj-23138	95	1	each	each	DET
brj-23138	95	2	color	color	NOUN
brj-23138	95	3	-	-	PUNCT
brj-23138	95	4	sensitive	sensitive	ADJ
brj-23138	95	5	point	point	NOUN
brj-23138	95	6	contains	contain	VERB
brj-23138	95	7	9	9	NUM
brj-23138	95	8	variables	variable	NOUN
brj-23138	95	9	:	:	PUNCT
brj-23138	95	10	three	three	NUM
brj-23138	95	11	components	component	NOUN
brj-23138	95	12	in	in	ADP
brj-23138	95	13	rgb	rgb	PROPN
brj-23138	95	14	color	color	NOUN
brj-23138	95	15	space	space	NOUN
brj-23138	95	16	(	(	PUNCT
brj-23138	95	17	△	△	X
brj-23138	95	18	r	r	NOUN
brj-23138	95	19	,	,	PUNCT
brj-23138	95	20	△	△	NOUN
brj-23138	95	21	g	g	NOUN
brj-23138	95	22	,	,	PUNCT
brj-23138	95	23	and	and	CCONJ
brj-23138	95	24	△	△	X
brj-23138	95	25	b	b	NOUN
brj-23138	95	26	)	)	PUNCT
brj-23138	95	27	,	,	PUNCT
brj-23138	95	28	three	three	NUM
brj-23138	95	29	components	component	NOUN
brj-23138	95	30	in	in	ADP
brj-23138	95	31	hsv	hsv	PROPN
brj-23138	95	32	color	color	NOUN
brj-23138	95	33	space	space	NOUN
brj-23138	95	34	(	(	PUNCT
brj-23138	95	35	△	△	NOUN
brj-23138	95	36	h	h	NOUN
brj-23138	95	37	,	,	PUNCT
brj-23138	95	38	△	△	X
brj-23138	95	39	s	s	X
brj-23138	95	40	,	,	PUNCT
brj-23138	95	41	and	and	CCONJ
brj-23138	95	42	△	△	NOUN
brj-23138	95	43	v	v	NOUN
brj-23138	95	44	)	)	PUNCT
brj-23138	95	45	,	,	PUNCT
brj-23138	95	46	and	and	CCONJ
brj-23138	95	47	three	three	NUM
brj-23138	95	48	components	component	NOUN
brj-23138	95	49	in	in	ADP
brj-23138	95	50	cielab	cielab	PROPN
brj-23138	95	51	color	color	NOUN
brj-23138	95	52	space	space	NOUN
brj-23138	95	53	(	(	PUNCT
brj-23138	95	54	△	△	X
brj-23138	95	55	l	l	NOUN
brj-23138	95	56	,	,	PUNCT
brj-23138	95	57	△	△	X
brj-23138	95	58	a	a	PRON
brj-23138	95	59	,	,	PUNCT
brj-23138	95	60	and	and	CCONJ
brj-23138	95	61	△	△	PROPN
brj-23138	95	62	b	b	NOUN
brj-23138	95	63	)	)	PUNCT
brj-23138	95	64	,	,	PUNCT
brj-23138	95	65	for	for	ADP
brj-23138	95	66	a	a	DET
brj-23138	95	67	total	total	NOUN
brj-23138	95	68	of	of	ADP
brj-23138	95	69	108	108	NUM
brj-23138	95	70	variables	variable	NOUN
brj-23138	95	71	from	from	ADP
brj-23138	95	72	12	12	NUM
brj-23138	95	73	dyes	dye	NOUN
brj-23138	95	74	in	in	ADP
brj-23138	95	75	an	an	DET
brj-23138	95	76	array	array	NOUN
brj-23138	95	77	(	(	PUNCT
brj-23138	95	78	12	12	NUM
brj-23138	95	79	dyes	dye	NOUN
brj-23138	95	80	×	×	NOUN
brj-23138	95	81	9	9	NUM
brj-23138	95	82	color	color	NOUN
brj-23138	95	83	components	component	NOUN
brj-23138	95	84	)	)	PUNCT
brj-23138	95	85	.	.	PUNCT
brj-23138	96	1	fig	fig	NOUN
brj-23138	96	2	.	.	PUNCT
brj-23138	97	1	1	1	X
brj-23138	97	2	.	.	X
brj-23138	97	3	data	datum	NOUN
brj-23138	97	4	acquisition	acquisition	NOUN
brj-23138	97	5	and	and	CCONJ
brj-23138	97	6	processing	processing	NOUN
brj-23138	97	7	process	process	NOUN
brj-23138	97	8	of	of	ADP
brj-23138	97	9	the	the	DET
brj-23138	97	10	olfactory	olfactory	NOUN
brj-23138	97	11	visualization	visualization	NOUN
brj-23138	97	12	sensor	sensor	NOUN
brj-23138	97	13	system	system	NOUN
brj-23138	97	14	for	for	ADP
brj-23138	97	15	the	the	DET
brj-23138	97	16	determination	determination	NOUN
brj-23138	97	17	of	of	ADP
brj-23138	97	18	maize	maize	NOUN
brj-23138	97	19	silage	silage	NOUN
brj-23138	97	20	quality	quality	NOUN
brj-23138	97	21	peer	peer	NOUN
brj-23138	97	22	-	-	PUNCT
brj-23138	97	23	reviewed	review	VERB
brj-23138	97	24	article	article	NOUN
brj-23138	97	25	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	97	26	tao	tao	PROPN
brj-23138	97	27	et	et	PROPN
brj-23138	97	28	al	al	PROPN
brj-23138	97	29	.	.	PROPN
brj-23138	98	1	(	(	PUNCT
brj-23138	98	2	2024	2024	NUM
brj-23138	98	3	)	)	PUNCT
brj-23138	98	4	.	.	PUNCT
brj-23138	99	1	“	"	PUNCT
brj-23138	99	2	maize	maize	VERB
brj-23138	99	3	silage	silage	NOUN
brj-23138	99	4	quality	quality	NOUN
brj-23138	99	5	testing	testing	NOUN
brj-23138	99	6	,	,	PUNCT
brj-23138	99	7	”	"	PUNCT
brj-23138	99	8	bioresources	bioresource	NOUN
brj-23138	99	9	19(2	19(2	NUM
brj-23138	99	10	)	)	PUNCT
brj-23138	99	11	,	,	PUNCT
brj-23138	99	12	3597	3597	NUM
brj-23138	99	13	-	-	SYM
brj-23138	99	14	3613	3613	NUM
brj-23138	99	15	.	.	PUNCT
brj-23138	100	1	3602	3602	NUM
brj-23138	100	2	multivariate	multivariate	NOUN
brj-23138	100	3	data	datum	NOUN
brj-23138	100	4	analysis	analysis	NOUN
brj-23138	100	5	principal	principal	ADJ
brj-23138	100	6	component	component	NOUN
brj-23138	100	7	analysis	analysis	NOUN
brj-23138	100	8	(	(	PUNCT
brj-23138	100	9	pca	pca	NOUN
brj-23138	100	10	)	)	PUNCT
brj-23138	100	11	is	be	AUX
brj-23138	100	12	an	an	DET
brj-23138	100	13	unsupervised	unsupervised	ADJ
brj-23138	100	14	algorithm	algorithm	NOUN
brj-23138	100	15	that	that	PRON
brj-23138	100	16	is	be	AUX
brj-23138	100	17	widely	widely	ADV
brj-23138	100	18	used	use	VERB
brj-23138	100	19	for	for	ADP
brj-23138	100	20	dimensionality	dimensionality	NOUN
brj-23138	100	21	elimination	elimination	NOUN
brj-23138	100	22	and	and	CCONJ
brj-23138	100	23	initial	initial	ADJ
brj-23138	100	24	classification	classification	NOUN
brj-23138	100	25	of	of	ADP
brj-23138	100	26	multivariate	multivariate	NOUN
brj-23138	100	27	data	datum	NOUN
brj-23138	100	28	(	(	PUNCT
brj-23138	100	29	jolliffe	jolliffe	VERB
brj-23138	100	30	and	and	CCONJ
brj-23138	100	31	cadima	cadima	PROPN
brj-23138	100	32	2016	2016	NUM
brj-23138	100	33	)	)	PUNCT
brj-23138	100	34	.	.	PUNCT
brj-23138	101	1	the	the	DET
brj-23138	101	2	fundamental	fundamental	ADJ
brj-23138	101	3	principle	principle	NOUN
brj-23138	101	4	is	be	AUX
brj-23138	101	5	to	to	PART
brj-23138	101	6	apply	apply	VERB
brj-23138	101	7	fewer	few	ADJ
brj-23138	101	8	eigenvectors	eigenvector	NOUN
brj-23138	101	9	as	as	ADP
brj-23138	101	10	a	a	DET
brj-23138	101	11	means	means	NOUN
brj-23138	101	12	to	to	PART
brj-23138	101	13	explain	explain	VERB
brj-23138	101	14	most	most	ADJ
brj-23138	101	15	of	of	ADP
brj-23138	101	16	the	the	DET
brj-23138	101	17	variation	variation	NOUN
brj-23138	101	18	of	of	ADP
brj-23138	101	19	the	the	DET
brj-23138	101	20	original	original	ADJ
brj-23138	101	21	data	datum	NOUN
brj-23138	101	22	.	.	PUNCT
brj-23138	102	1	by	by	ADP
brj-23138	102	2	analyzing	analyze	VERB
brj-23138	102	3	and	and	CCONJ
brj-23138	102	4	calculating	calculate	VERB
brj-23138	102	5	the	the	DET
brj-23138	102	6	internal	internal	ADJ
brj-23138	102	7	structural	structural	ADJ
brj-23138	102	8	relationships	relationship	NOUN
brj-23138	102	9	of	of	ADP
brj-23138	102	10	the	the	DET
brj-23138	102	11	correlation	correlation	NOUN
brj-23138	102	12	matrix	matrix	NOUN
brj-23138	102	13	of	of	ADP
brj-23138	102	14	the	the	DET
brj-23138	102	15	original	original	ADJ
brj-23138	102	16	data	datum	NOUN
brj-23138	102	17	,	,	PUNCT
brj-23138	102	18	a	a	DET
brj-23138	102	19	series	series	NOUN
brj-23138	102	20	of	of	ADP
brj-23138	102	21	new	new	ADJ
brj-23138	102	22	eigenvectors	eigenvector	NOUN
brj-23138	102	23	that	that	PRON
brj-23138	102	24	are	be	AUX
brj-23138	102	25	not	not	PART
brj-23138	102	26	related	relate	VERB
brj-23138	102	27	to	to	ADP
brj-23138	102	28	each	each	DET
brj-23138	102	29	other	other	ADJ
brj-23138	102	30	is	be	AUX
brj-23138	102	31	generated	generate	VERB
brj-23138	102	32	.	.	PUNCT
brj-23138	103	1	these	these	DET
brj-23138	103	2	principal	principal	ADJ
brj-23138	103	3	components	component	NOUN
brj-23138	103	4	are	be	AUX
brj-23138	103	5	ordered	order	VERB
brj-23138	103	6	by	by	ADP
brj-23138	103	7	the	the	DET
brj-23138	103	8	magnitude	magnitude	NOUN
brj-23138	103	9	of	of	ADP
brj-23138	103	10	the	the	DET
brj-23138	103	11	variance	variance	NOUN
brj-23138	103	12	of	of	ADP
brj-23138	103	13	the	the	DET
brj-23138	103	14	original	original	ADJ
brj-23138	103	15	data	datum	NOUN
brj-23138	103	16	.	.	PUNCT
brj-23138	104	1	thus	thus	ADV
brj-23138	104	2	,	,	PUNCT
brj-23138	104	3	the	the	DET
brj-23138	104	4	preceding	precede	VERB
brj-23138	104	5	principal	principal	ADJ
brj-23138	104	6	components	component	NOUN
brj-23138	104	7	contain	contain	VERB
brj-23138	104	8	the	the	DET
brj-23138	104	9	most	most	ADJ
brj-23138	104	10	information	information	NOUN
brj-23138	104	11	about	about	ADP
brj-23138	104	12	the	the	DET
brj-23138	104	13	variance	variance	NOUN
brj-23138	104	14	in	in	ADP
brj-23138	104	15	the	the	DET
brj-23138	104	16	original	original	ADJ
brj-23138	104	17	data	datum	NOUN
brj-23138	104	18	,	,	PUNCT
brj-23138	104	19	while	while	SCONJ
brj-23138	104	20	the	the	DET
brj-23138	104	21	latter	latter	ADJ
brj-23138	104	22	principal	principal	ADJ
brj-23138	104	23	components	component	NOUN
brj-23138	104	24	contain	contain	VERB
brj-23138	104	25	less	less	ADJ
brj-23138	104	26	information	information	NOUN
brj-23138	104	27	about	about	ADP
brj-23138	104	28	the	the	DET
brj-23138	104	29	variance	variance	NOUN
brj-23138	104	30	.	.	PUNCT
brj-23138	105	1	in	in	ADP
brj-23138	105	2	this	this	DET
brj-23138	105	3	study	study	NOUN
brj-23138	105	4	,	,	PUNCT
brj-23138	105	5	pca	pca	PROPN
brj-23138	105	6	was	be	AUX
brj-23138	105	7	utilized	utilize	VERB
brj-23138	105	8	to	to	ADP
brj-23138	105	9	further	further	ADJ
brj-23138	105	10	data	datum	NOUN
brj-23138	105	11	compression	compression	NOUN
brj-23138	105	12	and	and	CCONJ
brj-23138	105	13	mining	mining	NOUN
brj-23138	105	14	of	of	ADP
brj-23138	105	15	original	original	ADJ
brj-23138	105	16	features	feature	NOUN
brj-23138	105	17	(	(	PUNCT
brj-23138	105	18	108	108	NUM
brj-23138	105	19	variables	variable	NOUN
brj-23138	105	20	)	)	PUNCT
brj-23138	105	21	and	and	CCONJ
brj-23138	105	22	to	to	PART
brj-23138	105	23	visualize	visualize	VERB
brj-23138	105	24	the	the	DET
brj-23138	105	25	distribution	distribution	NOUN
brj-23138	105	26	of	of	ADP
brj-23138	105	27	silage	silage	NOUN
brj-23138	105	28	maize	maize	NOUN
brj-23138	105	29	samples	sample	NOUN
brj-23138	105	30	with	with	ADP
brj-23138	105	31	different	different	ADJ
brj-23138	105	32	quality	quality	NOUN
brj-23138	105	33	grades	grade	NOUN
brj-23138	105	34	(	(	PUNCT
brj-23138	105	35	gallo	gallo	PROPN
brj-23138	105	36	et	et	PROPN
brj-23138	105	37	al	al	PROPN
brj-23138	105	38	.	.	PROPN
brj-23138	105	39	2016	2016	NUM
brj-23138	105	40	)	)	PUNCT
brj-23138	105	41	.	.	PUNCT
brj-23138	106	1	extreme	extreme	ADJ
brj-23138	106	2	learning	learning	NOUN
brj-23138	106	3	machine	machine	NOUN
brj-23138	106	4	(	(	PUNCT
brj-23138	106	5	elm	elm	PROPN
brj-23138	106	6	)	)	PUNCT
brj-23138	106	7	is	be	AUX
brj-23138	106	8	a	a	DET
brj-23138	106	9	feed	feed	NOUN
brj-23138	106	10	-	-	PUNCT
brj-23138	106	11	forward	forward	ADV
brj-23138	106	12	neural	neural	ADJ
brj-23138	106	13	network	network	NOUN
brj-23138	106	14	algorithm	algorithm	NOUN
brj-23138	106	15	for	for	ADP
brj-23138	106	16	real	real	ADJ
brj-23138	106	17	-	-	PUNCT
brj-23138	106	18	time	time	NOUN
brj-23138	106	19	tasks	task	NOUN
brj-23138	106	20	with	with	ADP
brj-23138	106	21	excellent	excellent	ADJ
brj-23138	106	22	learning	learning	NOUN
brj-23138	106	23	efficiency	efficiency	NOUN
brj-23138	106	24	and	and	CCONJ
brj-23138	106	25	superior	superior	ADJ
brj-23138	106	26	generalization	generalization	NOUN
brj-23138	106	27	performance	performance	NOUN
brj-23138	106	28	(	(	PUNCT
brj-23138	106	29	guo	guo	PROPN
brj-23138	106	30	et	et	PROPN
brj-23138	106	31	al	al	PROPN
brj-23138	106	32	.	.	PROPN
brj-23138	106	33	2019	2019	NUM
brj-23138	106	34	)	)	PUNCT
brj-23138	106	35	its	its	PRON
brj-23138	106	36	fundamental	fundamental	ADJ
brj-23138	106	37	principle	principle	NOUN
brj-23138	106	38	is	be	AUX
brj-23138	106	39	to	to	PART
brj-23138	106	40	improve	improve	VERB
brj-23138	106	41	the	the	DET
brj-23138	106	42	efficiency	efficiency	NOUN
brj-23138	106	43	of	of	ADP
brj-23138	106	44	model	model	NOUN
brj-23138	106	45	training	training	NOUN
brj-23138	106	46	by	by	ADP
brj-23138	106	47	randomly	randomly	ADV
brj-23138	106	48	generating	generate	VERB
brj-23138	106	49	the	the	DET
brj-23138	106	50	connection	connection	NOUN
brj-23138	106	51	weights	weight	VERB
brj-23138	106	52	ω	ω	PROPN
brj-23138	106	53	and	and	CCONJ
brj-23138	106	54	threshold	threshold	NOUN
brj-23138	106	55	β1	β1	PROPN
brj-23138	106	56	between	between	ADP
brj-23138	106	57	the	the	DET
brj-23138	106	58	input	input	NOUN
brj-23138	106	59	layer	layer	NOUN
brj-23138	106	60	and	and	CCONJ
brj-23138	106	61	the	the	DET
brj-23138	106	62	hidden	hide	VERB
brj-23138	106	63	layer	layer	NOUN
brj-23138	106	64	in	in	ADP
brj-23138	106	65	order	order	NOUN
brj-23138	106	66	to	to	PART
brj-23138	106	67	improve	improve	VERB
brj-23138	106	68	the	the	DET
brj-23138	106	69	efficiency	efficiency	NOUN
brj-23138	106	70	of	of	ADP
brj-23138	106	71	the	the	DET
brj-23138	106	72	model	model	NOUN
brj-23138	106	73	training	training	NOUN
brj-23138	106	74	.	.	PUNCT
brj-23138	107	1	since	since	SCONJ
brj-23138	107	2	it	it	PRON
brj-23138	107	3	eliminates	eliminate	VERB
brj-23138	107	4	adjusting	adjust	VERB
brj-23138	107	5	the	the	DET
brj-23138	107	6	weights	weight	NOUN
brj-23138	107	7	during	during	ADP
brj-23138	107	8	the	the	DET
brj-23138	107	9	training	training	NOUN
brj-23138	107	10	process	process	NOUN
brj-23138	107	11	,	,	PUNCT
brj-23138	107	12	it	it	PRON
brj-23138	107	13	can	can	AUX
brj-23138	107	14	significantly	significantly	ADV
brj-23138	107	15	reduce	reduce	VERB
brj-23138	107	16	the	the	DET
brj-23138	107	17	training	training	NOUN
brj-23138	107	18	time	time	NOUN
brj-23138	107	19	.	.	PUNCT
brj-23138	108	1	compared	compare	VERB
brj-23138	108	2	to	to	ADP
brj-23138	108	3	the	the	DET
brj-23138	108	4	traditional	traditional	ADJ
brj-23138	108	5	optimality	optimality	NOUN
brj-23138	108	6	theory	theory	NOUN
brj-23138	108	7	,	,	PUNCT
brj-23138	108	8	elm	elm	PROPN
brj-23138	108	9	has	have	VERB
brj-23138	108	10	the	the	DET
brj-23138	108	11	unique	unique	ADJ
brj-23138	108	12	characteristic	characteristic	NOUN
brj-23138	108	13	that	that	SCONJ
brj-23138	108	14	it	it	PRON
brj-23138	108	15	avoids	avoid	VERB
brj-23138	108	16	the	the	DET
brj-23138	108	17	process	process	NOUN
brj-23138	108	18	of	of	ADP
brj-23138	108	19	iteratively	iteratively	ADV
brj-23138	108	20	adjusting	adjust	VERB
brj-23138	108	21	the	the	DET
brj-23138	108	22	weights	weight	NOUN
brj-23138	108	23	to	to	PART
brj-23138	108	24	seek	seek	VERB
brj-23138	108	25	the	the	DET
brj-23138	108	26	optimal	optimal	ADJ
brj-23138	108	27	solution	solution	NOUN
brj-23138	108	28	during	during	ADP
brj-23138	108	29	the	the	DET
brj-23138	108	30	training	training	NOUN
brj-23138	108	31	process	process	NOUN
brj-23138	108	32	.	.	PUNCT
brj-23138	109	1	instead	instead	ADV
brj-23138	109	2	,	,	PUNCT
brj-23138	109	3	it	it	PRON
brj-23138	109	4	only	only	ADV
brj-23138	109	5	requires	require	VERB
brj-23138	109	6	setting	set	VERB
brj-23138	109	7	the	the	DET
brj-23138	109	8	output	output	NOUN
brj-23138	109	9	matrix	matrix	NOUN
brj-23138	109	10	of	of	ADP
brj-23138	109	11	the	the	DET
brj-23138	109	12	hidden	hide	VERB
brj-23138	109	13	layer	layer	NOUN
brj-23138	109	14	k	k	PROPN
brj-23138	109	15	to	to	PART
brj-23138	109	16	acquire	acquire	VERB
brj-23138	109	17	the	the	DET
brj-23138	109	18	unique	unique	ADJ
brj-23138	109	19	optimal	optimal	ADJ
brj-23138	109	20	solution	solution	NOUN
brj-23138	109	21	.	.	PUNCT
brj-23138	110	1	the	the	DET
brj-23138	110	2	simplified	simplified	ADJ
brj-23138	110	3	training	training	NOUN
brj-23138	110	4	approach	approach	NOUN
brj-23138	110	5	allows	allow	VERB
brj-23138	110	6	the	the	DET
brj-23138	110	7	elm	elm	NOUN
brj-23138	110	8	to	to	PART
brj-23138	110	9	concentrate	concentrate	VERB
brj-23138	110	10	only	only	ADV
brj-23138	110	11	on	on	ADP
brj-23138	110	12	calculating	calculate	VERB
brj-23138	110	13	the	the	DET
brj-23138	110	14	output	output	NOUN
brj-23138	110	15	weights	weight	NOUN
brj-23138	110	16	during	during	ADP
brj-23138	110	17	the	the	DET
brj-23138	110	18	learning	learning	NOUN
brj-23138	110	19	process	process	NOUN
brj-23138	110	20	,	,	PUNCT
brj-23138	110	21	which	which	PRON
brj-23138	110	22	enables	enable	VERB
brj-23138	110	23	more	more	ADV
brj-23138	110	24	efficient	efficient	ADJ
brj-23138	110	25	acquisition	acquisition	NOUN
brj-23138	110	26	and	and	CCONJ
brj-23138	110	27	adaptation	adaptation	NOUN
brj-23138	110	28	to	to	ADP
brj-23138	110	29	the	the	DET
brj-23138	110	30	data	datum	NOUN
brj-23138	110	31	.	.	PUNCT
brj-23138	111	1	in	in	ADP
brj-23138	111	2	this	this	DET
brj-23138	111	3	study	study	NOUN
brj-23138	111	4	,	,	PUNCT
brj-23138	111	5	the	the	DET
brj-23138	111	6	optimum	optimum	ADJ
brj-23138	111	7	parameter	parameter	NOUN
brj-23138	111	8	combination	combination	NOUN
brj-23138	111	9	of	of	ADP
brj-23138	111	10	k	k	PROPN
brj-23138	111	11	and	and	CCONJ
brj-23138	111	12	pcs	pc	NOUN
brj-23138	111	13	in	in	ADP
brj-23138	111	14	the	the	DET
brj-23138	111	15	elm	elm	NOUN
brj-23138	111	16	model	model	NOUN
brj-23138	111	17	was	be	AUX
brj-23138	111	18	determined	determine	VERB
brj-23138	111	19	by	by	ADP
brj-23138	111	20	the	the	DET
brj-23138	111	21	classification	classification	NOUN
brj-23138	111	22	accuracy	accuracy	NOUN
brj-23138	111	23	of	of	ADP
brj-23138	111	24	the	the	DET
brj-23138	111	25	training	training	NOUN
brj-23138	111	26	set	set	VERB
brj-23138	111	27	by	by	ADP
brj-23138	111	28	applying	apply	VERB
brj-23138	111	29	a	a	DET
brj-23138	111	30	five	five	NUM
brj-23138	111	31	-	-	ADJ
brj-23138	111	32	fold	fold	ADJ
brj-23138	111	33	crossvalidation	crossvalidation	NOUN
brj-23138	111	34	strategy	strategy	NOUN
brj-23138	111	35	and	and	CCONJ
brj-23138	111	36	grid	grid	NOUN
brj-23138	111	37	search	search	NOUN
brj-23138	111	38	method	method	NOUN
brj-23138	111	39	.	.	PUNCT
brj-23138	112	1	their	their	PRON
brj-23138	112	2	value	value	NOUN
brj-23138	112	3	ranged	range	VERB
brj-23138	112	4	from	from	ADP
brj-23138	112	5	10	10	NUM
brj-23138	112	6	to	to	PART
brj-23138	112	7	100	100	NUM
brj-23138	112	8	(	(	PUNCT
brj-23138	112	9	the	the	DET
brj-23138	112	10	interval	interval	NOUN
brj-23138	112	11	is	be	AUX
brj-23138	112	12	10	10	NUM
brj-23138	112	13	)	)	PUNCT
brj-23138	112	14	and	and	CCONJ
brj-23138	112	15	1	1	NUM
brj-23138	112	16	to	to	ADP
brj-23138	112	17	22	22	NUM
brj-23138	112	18	(	(	PUNCT
brj-23138	112	19	the	the	DET
brj-23138	112	20	interval	interval	NOUN
brj-23138	112	21	is	be	AUX
brj-23138	112	22	1	1	NUM
brj-23138	112	23	)	)	PUNCT
brj-23138	112	24	,	,	PUNCT
brj-23138	112	25	respectively	respectively	ADV
brj-23138	112	26	.	.	PUNCT
brj-23138	113	1	support	support	NOUN
brj-23138	113	2	vector	vector	NOUN
brj-23138	113	3	machine	machine	NOUN
brj-23138	113	4	(	(	PUNCT
brj-23138	113	5	svm	svm	PROPN
brj-23138	113	6	)	)	PUNCT
brj-23138	113	7	is	be	AUX
brj-23138	113	8	a	a	DET
brj-23138	113	9	supervised	supervised	ADJ
brj-23138	113	10	learning	learn	VERB
brj-23138	113	11	algorithm	algorithm	NOUN
brj-23138	113	12	for	for	ADP
brj-23138	113	13	classification	classification	NOUN
brj-23138	113	14	and	and	CCONJ
brj-23138	113	15	regression	regression	NOUN
brj-23138	113	16	with	with	ADP
brj-23138	113	17	excellent	excellent	ADJ
brj-23138	113	18	generalization	generalization	NOUN
brj-23138	113	19	performance	performance	NOUN
brj-23138	113	20	and	and	CCONJ
brj-23138	113	21	robustness	robustness	NOUN
brj-23138	113	22	(	(	PUNCT
brj-23138	113	23	bouboulis	bouboulis	PROPN
brj-23138	113	24	et	et	PROPN
brj-23138	113	25	al	al	PROPN
brj-23138	113	26	.	.	PROPN
brj-23138	113	27	2015	2015	NUM
brj-23138	113	28	)	)	PUNCT
brj-23138	113	29	.	.	PUNCT
brj-23138	114	1	its	its	PRON
brj-23138	114	2	fundamental	fundamental	ADJ
brj-23138	114	3	principle	principle	NOUN
brj-23138	114	4	is	be	AUX
brj-23138	114	5	to	to	PART
brj-23138	114	6	train	train	VERB
brj-23138	114	7	the	the	DET
brj-23138	114	8	model	model	NOUN
brj-23138	114	9	by	by	ADP
brj-23138	114	10	finding	find	VERB
brj-23138	114	11	the	the	DET
brj-23138	114	12	optimal	optimal	ADJ
brj-23138	114	13	hyperplane	hyperplane	NOUN
brj-23138	114	14	of	of	ADP
brj-23138	114	15	the	the	DET
brj-23138	114	16	data	datum	NOUN
brj-23138	114	17	and	and	CCONJ
brj-23138	114	18	obtaining	obtain	VERB
brj-23138	114	19	the	the	DET
brj-23138	114	20	maximum	maximum	ADJ
brj-23138	114	21	interval	interval	NOUN
brj-23138	114	22	at	at	ADP
brj-23138	114	23	the	the	DET
brj-23138	114	24	support	support	NOUN
brj-23138	114	25	vectors	vector	NOUN
brj-23138	114	26	on	on	ADP
brj-23138	114	27	the	the	DET
brj-23138	114	28	hyperplane	hyperplane	NOUN
brj-23138	114	29	for	for	ADP
brj-23138	114	30	efficient	efficient	ADJ
brj-23138	114	31	classification	classification	NOUN
brj-23138	114	32	and	and	CCONJ
brj-23138	114	33	regression	regression	NOUN
brj-23138	114	34	of	of	ADP
brj-23138	114	35	data	datum	NOUN
brj-23138	114	36	.	.	PUNCT
brj-23138	115	1	the	the	DET
brj-23138	115	2	optimization	optimization	NOUN
brj-23138	115	3	objective	objective	NOUN
brj-23138	115	4	of	of	ADP
brj-23138	115	5	svm	svm	PROPN
brj-23138	115	6	is	be	AUX
brj-23138	115	7	to	to	PART
brj-23138	115	8	find	find	VERB
brj-23138	115	9	a	a	DET
brj-23138	115	10	hyperplane	hyperplane	NOUN
brj-23138	115	11	with	with	ADP
brj-23138	115	12	a	a	DET
brj-23138	115	13	maximum	maximum	ADJ
brj-23138	115	14	interval	interval	NOUN
brj-23138	115	15	,	,	PUNCT
brj-23138	115	16	which	which	PRON
brj-23138	115	17	means	mean	VERB
brj-23138	115	18	that	that	SCONJ
brj-23138	115	19	it	it	PRON
brj-23138	115	20	is	be	AUX
brj-23138	115	21	more	more	ADV
brj-23138	115	22	cautious	cautious	ADJ
brj-23138	115	23	in	in	ADP
brj-23138	115	24	choosing	choose	VERB
brj-23138	115	25	the	the	DET
brj-23138	115	26	decision	decision	NOUN
brj-23138	115	27	boundary	boundary	NOUN
brj-23138	115	28	.	.	PUNCT
brj-23138	116	1	therefore	therefore	ADV
brj-23138	116	2	,	,	PUNCT
brj-23138	116	3	it	it	PRON
brj-23138	116	4	is	be	AUX
brj-23138	116	5	less	less	ADV
brj-23138	116	6	susceptible	susceptible	ADJ
brj-23138	116	7	to	to	ADP
brj-23138	116	8	the	the	DET
brj-23138	116	9	influence	influence	NOUN
brj-23138	116	10	of	of	ADP
brj-23138	116	11	local	local	ADJ
brj-23138	116	12	minima	minima	NOUN
brj-23138	116	13	and	and	CCONJ
brj-23138	116	14	more	more	ADV
brj-23138	116	15	adaptable	adaptable	ADJ
brj-23138	116	16	to	to	ADP
brj-23138	116	17	higher	high	ADJ
brj-23138	116	18	dimensional	dimensional	ADJ
brj-23138	116	19	spaces	space	NOUN
brj-23138	116	20	and	and	CCONJ
brj-23138	116	21	nonlinear	nonlinear	ADJ
brj-23138	116	22	relationships	relationship	NOUN
brj-23138	116	23	.	.	PUNCT
brj-23138	117	1	in	in	ADP
brj-23138	117	2	this	this	DET
brj-23138	117	3	study	study	NOUN
brj-23138	117	4	,	,	PUNCT
brj-23138	117	5	the	the	DET
brj-23138	117	6	combination	combination	NOUN
brj-23138	117	7	of	of	ADP
brj-23138	117	8	support	support	NOUN
brj-23138	117	9	vector	vector	NOUN
brj-23138	117	10	machine	machine	NOUN
brj-23138	117	11	and	and	CCONJ
brj-23138	117	12	radial	radial	ADJ
brj-23138	117	13	basis	basis	NOUN
brj-23138	117	14	kernel	kernel	NOUN
brj-23138	117	15	function	function	PROPN
brj-23138	117	16	(	(	PUNCT
brj-23138	117	17	rbf	rbf	PROPN
brj-23138	117	18	)	)	PUNCT
brj-23138	117	19	was	be	AUX
brj-23138	117	20	utilized	utilize	VERB
brj-23138	117	21	to	to	PART
brj-23138	117	22	assess	assess	VERB
brj-23138	117	23	different	different	ADJ
brj-23138	117	24	qualities	quality	NOUN
brj-23138	117	25	of	of	ADP
brj-23138	117	26	maize	maize	NOUN
brj-23138	117	27	silage	silage	NOUN
brj-23138	117	28	(	(	PUNCT
brj-23138	117	29	virmani	virmani	PROPN
brj-23138	117	30	and	and	CCONJ
brj-23138	117	31	pandey	pandey	PROPN
brj-23138	117	32	2023	2023	NUM
brj-23138	117	33	)	)	PUNCT
brj-23138	117	34	.	.	PUNCT
brj-23138	118	1	for	for	ADP
brj-23138	118	2	selecting	select	VERB
brj-23138	118	3	the	the	DET
brj-23138	118	4	optimum	optimum	ADJ
brj-23138	118	5	penalty	penalty	NOUN
brj-23138	118	6	factor	factor	NOUN
brj-23138	118	7	c	c	PROPN
brj-23138	118	8	and	and	CCONJ
brj-23138	118	9	kernel	kernel	PROPN
brj-23138	118	10	function	function	PROPN
brj-23138	118	11	parameter	parameter	NOUN
brj-23138	118	12	g	g	PROPN
brj-23138	118	13	,	,	PUNCT
brj-23138	118	14	it	it	PRON
brj-23138	118	15	was	be	AUX
brj-23138	118	16	optimized	optimize	VERB
brj-23138	118	17	by	by	ADP
brj-23138	118	18	using	use	VERB
brj-23138	118	19	fivefold	fivefold	ADJ
brj-23138	118	20	cross	cross	ADJ
brj-23138	118	21	-	-	ADJ
brj-23138	118	22	validation	validation	ADJ
brj-23138	118	23	and	and	CCONJ
brj-23138	118	24	grid	grid	NOUN
brj-23138	118	25	search	search	NOUN
brj-23138	118	26	methods	method	NOUN
brj-23138	118	27	while	while	SCONJ
brj-23138	118	28	varying	vary	VERB
brj-23138	118	29	the	the	DET
brj-23138	118	30	number	number	NOUN
brj-23138	118	31	of	of	ADP
brj-23138	118	32	input	input	NOUN
brj-23138	118	33	principal	principal	ADJ
brj-23138	118	34	components	component	NOUN
brj-23138	118	35	,	,	PUNCT
brj-23138	118	36	and	and	CCONJ
brj-23138	118	37	the	the	DET
brj-23138	118	38	best	good	ADJ
brj-23138	118	39	pcs	pc	NOUN
brj-23138	118	40	and	and	CCONJ
brj-23138	118	41	parameters	parameter	NOUN
brj-23138	118	42	c	c	VERB
brj-23138	118	43	,	,	PUNCT
brj-23138	118	44	g	g	PROPN
brj-23138	118	45	were	be	AUX
brj-23138	118	46	selected	select	VERB
brj-23138	118	47	depending	depend	VERB
brj-23138	118	48	on	on	ADP
brj-23138	118	49	the	the	DET
brj-23138	118	50	maximum	maximum	ADJ
brj-23138	118	51	discrimination	discrimination	NOUN
brj-23138	118	52	rate	rate	NOUN
brj-23138	118	53	in	in	ADP
brj-23138	118	54	the	the	DET
brj-23138	118	55	training	training	NOUN
brj-23138	118	56	set	set	NOUN
brj-23138	118	57	.	.	PUNCT
brj-23138	119	1	the	the	DET
brj-23138	119	2	number	number	NOUN
brj-23138	119	3	of	of	ADP
brj-23138	119	4	pcs	pc	NOUN
brj-23138	119	5	ranging	range	VERB
brj-23138	119	6	from	from	ADP
brj-23138	119	7	1	1	NUM
brj-23138	119	8	to	to	ADP
brj-23138	119	9	22	22	NUM
brj-23138	119	10	(	(	PUNCT
brj-23138	119	11	the	the	DET
brj-23138	119	12	interval	interval	NOUN
brj-23138	119	13	is	be	AUX
brj-23138	119	14	1	1	NUM
brj-23138	119	15	)	)	PUNCT
brj-23138	119	16	,	,	PUNCT
brj-23138	119	17	accompanied	accompany	VERB
brj-23138	119	18	by	by	ADP
brj-23138	119	19	c	c	PROPN
brj-23138	119	20	and	and	CCONJ
brj-23138	119	21	g	g	NOUN
brj-23138	119	22	,	,	PUNCT
brj-23138	119	23	take	take	VERB
brj-23138	119	24	values	value	NOUN
brj-23138	119	25	from	from	ADP
brj-23138	119	26	2	2	NUM
brj-23138	119	27	-	-	SYM
brj-23138	119	28	10	10	NUM
brj-23138	119	29	,	,	PUNCT
brj-23138	119	30	2	2	NUM
brj-23138	119	31	-	-	SYM
brj-23138	119	32	9.5	9.5	NUM
brj-23138	119	33	,	,	PUNCT
brj-23138	119	34	…	…	PUNCT
brj-23138	119	35	,	,	PUNCT
brj-23138	119	36	2	2	NUM
brj-23138	119	37	-	-	SYM
brj-23138	119	38	10	10	NUM
brj-23138	119	39	,	,	PUNCT
brj-23138	119	40	2	2	NUM
brj-23138	119	41	-	-	SYM
brj-23138	119	42	9.5	9.5	NUM
brj-23138	119	43	.	.	PUNCT
brj-23138	120	1	random	random	ADJ
brj-23138	120	2	forest	forest	NOUN
brj-23138	120	3	(	(	PUNCT
brj-23138	120	4	rf	rf	NOUN
brj-23138	120	5	)	)	PUNCT
brj-23138	120	6	is	be	AUX
brj-23138	120	7	an	an	DET
brj-23138	120	8	integrated	integrated	ADJ
brj-23138	120	9	learning	learning	NOUN
brj-23138	120	10	method	method	NOUN
brj-23138	120	11	consisting	consist	VERB
brj-23138	120	12	of	of	ADP
brj-23138	120	13	multiple	multiple	ADJ
brj-23138	120	14	decision	decision	NOUN
brj-23138	120	15	trees	tree	NOUN
brj-23138	120	16	,	,	PUNCT
brj-23138	120	17	which	which	PRON
brj-23138	120	18	is	be	AUX
brj-23138	120	19	particularly	particularly	ADV
brj-23138	120	20	appropriate	appropriate	ADJ
brj-23138	120	21	for	for	ADP
brj-23138	120	22	dealing	deal	VERB
brj-23138	120	23	with	with	ADP
brj-23138	120	24	high	high	ADJ
brj-23138	120	25	-	-	PUNCT
brj-23138	120	26	dimensional	dimensional	ADJ
brj-23138	120	27	data	datum	NOUN
brj-23138	120	28	and	and	CCONJ
brj-23138	120	29	problems	problem	NOUN
brj-23138	120	30	with	with	ADP
brj-23138	120	31	complex	complex	ADJ
brj-23138	120	32	relationships	relationship	NOUN
brj-23138	120	33	(	(	PUNCT
brj-23138	120	34	more	more	ADJ
brj-23138	120	35	and	and	CCONJ
brj-23138	120	36	rana	rana	PROPN
brj-23138	120	37	2022	2022	NUM
brj-23138	120	38	)	)	PUNCT
brj-23138	120	39	.	.	PUNCT
brj-23138	121	1	its	its	PRON
brj-23138	121	2	fundamental	fundamental	ADJ
brj-23138	121	3	principle	principle	NOUN
brj-23138	121	4	is	be	AUX
brj-23138	121	5	to	to	PART
brj-23138	121	6	randomly	randomly	ADV
brj-23138	121	7	select	select	VERB
brj-23138	121	8	a	a	DET
brj-23138	121	9	part	part	NOUN
brj-23138	121	10	of	of	ADP
brj-23138	121	11	the	the	DET
brj-23138	121	12	samples	sample	NOUN
brj-23138	121	13	to	to	PART
brj-23138	121	14	construct	construct	VERB
brj-23138	121	15	a	a	DET
brj-23138	121	16	decision	decision	NOUN
brj-23138	121	17	tree	tree	NOUN
brj-23138	121	18	by	by	ADP
brj-23138	121	19	bootstrap	bootstrap	NOUN
brj-23138	121	20	sampling	sampling	NOUN
brj-23138	121	21	.	.	PUNCT
brj-23138	122	1	peer	peer	NOUN
brj-23138	122	2	-	-	PUNCT
brj-23138	122	3	reviewed	review	VERB
brj-23138	122	4	article	article	NOUN
brj-23138	122	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	122	6	tao	tao	PROPN
brj-23138	122	7	et	et	PROPN
brj-23138	122	8	al	al	PROPN
brj-23138	122	9	.	.	PROPN
brj-23138	123	1	(	(	PUNCT
brj-23138	123	2	2024	2024	NUM
brj-23138	123	3	)	)	PUNCT
brj-23138	123	4	.	.	PUNCT
brj-23138	124	1	“	"	PUNCT
brj-23138	124	2	maize	maize	VERB
brj-23138	124	3	silage	silage	NOUN
brj-23138	124	4	quality	quality	NOUN
brj-23138	124	5	testing	testing	NOUN
brj-23138	124	6	,	,	PUNCT
brj-23138	124	7	”	"	PUNCT
brj-23138	124	8	bioresources	bioresource	NOUN
brj-23138	124	9	19(2	19(2	NUM
brj-23138	124	10	)	)	PUNCT
brj-23138	124	11	,	,	PUNCT
brj-23138	124	12	3597	3597	NUM
brj-23138	124	13	-	-	SYM
brj-23138	124	14	3613	3613	NUM
brj-23138	124	15	.	.	PUNCT
brj-23138	124	16	3603	3603	NUM
brj-23138	124	17	each	each	DET
brj-23138	124	18	decision	decision	NOUN
brj-23138	124	19	tree	tree	NOUN
brj-23138	124	20	characterizes	characterize	VERB
brj-23138	124	21	and	and	CCONJ
brj-23138	124	22	predicts	predict	VERB
brj-23138	124	23	the	the	DET
brj-23138	124	24	data	datum	NOUN
brj-23138	124	25	,	,	PUNCT
brj-23138	124	26	and	and	CCONJ
brj-23138	124	27	the	the	DET
brj-23138	124	28	classification	classification	NOUN
brj-23138	124	29	result	result	NOUN
brj-23138	124	30	is	be	AUX
brj-23138	124	31	finally	finally	ADV
brj-23138	124	32	achieved	achieve	VERB
brj-23138	124	33	by	by	ADP
brj-23138	124	34	voting	vote	VERB
brj-23138	124	35	on	on	ADP
brj-23138	124	36	each	each	DET
brj-23138	124	37	decision	decision	NOUN
brj-23138	124	38	tree	tree	NOUN
brj-23138	124	39	.	.	PUNCT
brj-23138	125	1	therefore	therefore	ADV
brj-23138	125	2	,	,	PUNCT
brj-23138	125	3	the	the	DET
brj-23138	125	4	number	number	NOUN
brj-23138	125	5	of	of	ADP
brj-23138	125	6	decision	decision	NOUN
brj-23138	125	7	trees	tree	NOUN
brj-23138	125	8	m	m	VERB
brj-23138	125	9	is	be	AUX
brj-23138	125	10	crucial	crucial	ADJ
brj-23138	125	11	to	to	ADP
brj-23138	125	12	the	the	DET
brj-23138	125	13	rf	rf	ADJ
brj-23138	125	14	model	model	NOUN
brj-23138	125	15	performance	performance	NOUN
brj-23138	125	16	.	.	PUNCT
brj-23138	126	1	the	the	DET
brj-23138	126	2	voting	voting	NOUN
brj-23138	126	3	mechanism	mechanism	NOUN
brj-23138	126	4	of	of	ADP
brj-23138	126	5	random	random	ADJ
brj-23138	126	6	forests	forest	NOUN
brj-23138	126	7	reduces	reduce	VERB
brj-23138	126	8	the	the	DET
brj-23138	126	9	influence	influence	NOUN
brj-23138	126	10	of	of	ADP
brj-23138	126	11	individual	individual	ADJ
brj-23138	126	12	trees	tree	NOUN
brj-23138	126	13	and	and	CCONJ
brj-23138	126	14	contributes	contribute	VERB
brj-23138	126	15	to	to	ADP
brj-23138	126	16	reducing	reduce	VERB
brj-23138	126	17	the	the	DET
brj-23138	126	18	risk	risk	NOUN
brj-23138	126	19	of	of	ADP
brj-23138	126	20	overfitting	overfitte	VERB
brj-23138	126	21	.	.	PUNCT
brj-23138	127	1	in	in	ADP
brj-23138	127	2	addition	addition	NOUN
brj-23138	127	3	,	,	PUNCT
brj-23138	127	4	the	the	DET
brj-23138	127	5	voting	voting	NOUN
brj-23138	127	6	mechanism	mechanism	NOUN
brj-23138	127	7	of	of	ADP
brj-23138	127	8	random	random	ADJ
brj-23138	127	9	forests	forest	NOUN
brj-23138	127	10	reduces	reduce	VERB
brj-23138	127	11	the	the	DET
brj-23138	127	12	influence	influence	NOUN
brj-23138	127	13	of	of	ADP
brj-23138	127	14	individual	individual	ADJ
brj-23138	127	15	trees	tree	NOUN
brj-23138	127	16	and	and	CCONJ
brj-23138	127	17	contributes	contribute	VERB
brj-23138	127	18	to	to	ADP
brj-23138	127	19	reducing	reduce	VERB
brj-23138	127	20	the	the	DET
brj-23138	127	21	risk	risk	NOUN
brj-23138	127	22	of	of	ADP
brj-23138	127	23	overfitting	overfitte	VERB
brj-23138	127	24	.	.	PUNCT
brj-23138	128	1	accordingly	accordingly	ADV
brj-23138	128	2	,	,	PUNCT
brj-23138	128	3	rf	rf	PRON
brj-23138	128	4	usually	usually	ADV
brj-23138	128	5	has	have	VERB
brj-23138	128	6	the	the	DET
brj-23138	128	7	advantages	advantage	NOUN
brj-23138	128	8	of	of	ADP
brj-23138	128	9	high	high	ADJ
brj-23138	128	10	precision	precision	NOUN
brj-23138	128	11	,	,	PUNCT
brj-23138	128	12	excellent	excellent	ADJ
brj-23138	128	13	stability	stability	NOUN
brj-23138	128	14	,	,	PUNCT
brj-23138	128	15	and	and	CCONJ
brj-23138	128	16	superior	superior	ADJ
brj-23138	128	17	overfitting	overfitte	VERB
brj-23138	128	18	resistance	resistance	NOUN
brj-23138	128	19	.	.	PUNCT
brj-23138	129	1	in	in	ADP
brj-23138	129	2	this	this	DET
brj-23138	129	3	study	study	NOUN
brj-23138	129	4	,	,	PUNCT
brj-23138	129	5	the	the	DET
brj-23138	129	6	optimum	optimum	ADJ
brj-23138	129	7	parameter	parameter	NOUN
brj-23138	129	8	combination	combination	NOUN
brj-23138	129	9	of	of	ADP
brj-23138	129	10	m	m	NOUN
brj-23138	129	11	and	and	CCONJ
brj-23138	129	12	pcs	pc	NOUN
brj-23138	129	13	in	in	ADP
brj-23138	129	14	the	the	DET
brj-23138	129	15	rf	rf	NOUN
brj-23138	129	16	model	model	NOUN
brj-23138	129	17	was	be	AUX
brj-23138	129	18	determined	determine	VERB
brj-23138	129	19	by	by	ADP
brj-23138	129	20	the	the	DET
brj-23138	129	21	classification	classification	NOUN
brj-23138	129	22	accuracy	accuracy	NOUN
brj-23138	129	23	of	of	ADP
brj-23138	129	24	the	the	DET
brj-23138	129	25	training	training	NOUN
brj-23138	129	26	set	set	VERB
brj-23138	129	27	by	by	ADP
brj-23138	129	28	applying	apply	VERB
brj-23138	129	29	a	a	DET
brj-23138	129	30	five	five	NUM
brj-23138	129	31	-	-	ADJ
brj-23138	129	32	fold	fold	ADJ
brj-23138	129	33	cross	cross	ADJ
brj-23138	129	34	-	-	ADJ
brj-23138	129	35	validation	validation	ADJ
brj-23138	129	36	strategy	strategy	NOUN
brj-23138	129	37	and	and	CCONJ
brj-23138	129	38	grid	grid	NOUN
brj-23138	129	39	search	search	NOUN
brj-23138	129	40	method	method	NOUN
brj-23138	129	41	.	.	PUNCT
brj-23138	130	1	their	their	PRON
brj-23138	130	2	value	value	NOUN
brj-23138	130	3	ranging	range	VERB
brj-23138	130	4	from	from	ADP
brj-23138	130	5	50	50	NUM
brj-23138	130	6	to	to	ADP
brj-23138	130	7	1000	1000	NUM
brj-23138	130	8	(	(	PUNCT
brj-23138	130	9	the	the	DET
brj-23138	130	10	interval	interval	NOUN
brj-23138	130	11	is	be	AUX
brj-23138	130	12	50	50	NUM
brj-23138	130	13	)	)	PUNCT
brj-23138	130	14	and	and	CCONJ
brj-23138	130	15	1	1	NUM
brj-23138	130	16	to	to	ADP
brj-23138	130	17	22(the	22(the	DET
brj-23138	130	18	interval	interval	NOUN
brj-23138	130	19	is	be	AUX
brj-23138	130	20	1	1	NUM
brj-23138	130	21	)	)	PUNCT
brj-23138	130	22	,	,	PUNCT
brj-23138	130	23	respectively	respectively	ADV
brj-23138	130	24	.	.	PUNCT
brj-23138	131	1	model	model	PROPN
brj-23138	131	2	evolution	evolution	NOUN
brj-23138	131	3	criteria	criteria	VERB
brj-23138	131	4	the	the	DET
brj-23138	131	5	confusion	confusion	NOUN
brj-23138	131	6	matrix	matrix	NOUN
brj-23138	131	7	can	can	AUX
brj-23138	131	8	intuitively	intuitively	ADV
brj-23138	131	9	assess	assess	VERB
brj-23138	131	10	the	the	DET
brj-23138	131	11	qualitative	qualitative	ADJ
brj-23138	131	12	discrimination	discrimination	NOUN
brj-23138	131	13	performance	performance	NOUN
brj-23138	131	14	of	of	ADP
brj-23138	131	15	the	the	DET
brj-23138	131	16	target	target	NOUN
brj-23138	131	17	model	model	NOUN
brj-23138	131	18	(	(	PUNCT
brj-23138	131	19	ouyang	ouyang	PROPN
brj-23138	131	20	et	et	PROPN
brj-23138	131	21	al	al	PROPN
brj-23138	131	22	.	.	PROPN
brj-23138	131	23	2023	2023	NUM
brj-23138	131	24	)	)	PUNCT
brj-23138	131	25	.	.	PUNCT
brj-23138	132	1	accuracy	accuracy	NOUN
brj-23138	132	2	,	,	PUNCT
brj-23138	132	3	precision	precision	NOUN
brj-23138	132	4	,	,	PUNCT
brj-23138	132	5	and	and	CCONJ
brj-23138	132	6	sensitivity	sensitivity	NOUN
brj-23138	132	7	are	be	AUX
brj-23138	132	8	three	three	NUM
brj-23138	132	9	critical	critical	ADJ
brj-23138	132	10	indicators	indicator	NOUN
brj-23138	132	11	in	in	ADP
brj-23138	132	12	the	the	DET
brj-23138	132	13	assessment	assessment	NOUN
brj-23138	132	14	matrix	matrix	NOUN
brj-23138	132	15	.	.	PUNCT
brj-23138	133	1	accuracy	accuracy	NOUN
brj-23138	133	2	is	be	AUX
brj-23138	133	3	an	an	DET
brj-23138	133	4	overall	overall	ADJ
brj-23138	133	5	indicator	indicator	NOUN
brj-23138	133	6	that	that	PRON
brj-23138	133	7	reflects	reflect	VERB
brj-23138	133	8	the	the	DET
brj-23138	133	9	proportion	proportion	NOUN
brj-23138	133	10	of	of	ADP
brj-23138	133	11	samples	sample	NOUN
brj-23138	133	12	correctly	correctly	ADV
brj-23138	133	13	categorized	categorize	VERB
brj-23138	133	14	by	by	ADP
brj-23138	133	15	the	the	DET
brj-23138	133	16	model	model	NOUN
brj-23138	133	17	.	.	PUNCT
brj-23138	134	1	high	high	ADJ
brj-23138	134	2	accuracy	accuracy	NOUN
brj-23138	134	3	denotes	denote	NOUN
brj-23138	134	4	that	that	PRON
brj-23138	134	5	the	the	DET
brj-23138	134	6	model	model	NOUN
brj-23138	134	7	has	have	VERB
brj-23138	134	8	excellent	excellent	ADJ
brj-23138	134	9	classification	classification	NOUN
brj-23138	134	10	ability	ability	NOUN
brj-23138	134	11	.	.	PUNCT
brj-23138	135	1	the	the	DET
brj-23138	135	2	accuracy	accuracy	NOUN
brj-23138	135	3	is	be	AUX
brj-23138	135	4	determined	determine	VERB
brj-23138	135	5	by	by	ADP
brj-23138	135	6	eq	eq	ADJ
brj-23138	135	7	.	.	PROPN
brj-23138	136	1	1	1	X
brj-23138	136	2	.	.	X
brj-23138	136	3	tp	tp	NOUN
brj-23138	136	4	tn	tn	PROPN
brj-23138	136	5	accuracy	accuracy	NOUN
brj-23138	136	6	tp	tp	ADP
brj-23138	136	7	tn	tn	PROPN
brj-23138	136	8	fp	fp	PROPN
brj-23138	136	9	fn	fn	NOUN
brj-23138	137	1	+	+	NOUN
brj-23138	137	2	=	=	PUNCT
brj-23138	138	1	+	+	PUNCT
brj-23138	138	2	+	+	PUNCT
brj-23138	138	3	+	+	CCONJ
brj-23138	138	4	(	(	PUNCT
brj-23138	138	5	1	1	X
brj-23138	138	6	)	)	PUNCT
brj-23138	138	7	where	where	SCONJ
brj-23138	138	8	tp	tp	NOUN
brj-23138	138	9	refers	refer	VERB
brj-23138	138	10	to	to	ADP
brj-23138	138	11	the	the	DET
brj-23138	138	12	number	number	NOUN
brj-23138	138	13	of	of	ADP
brj-23138	138	14	positive	positive	ADJ
brj-23138	138	15	category	category	NOUN
brj-23138	138	16	samples	sample	NOUN
brj-23138	138	17	that	that	PRON
brj-23138	138	18	the	the	DET
brj-23138	138	19	model	model	NOUN
brj-23138	138	20	correctly	correctly	ADV
brj-23138	138	21	predicts	predict	VERB
brj-23138	138	22	as	as	ADP
brj-23138	138	23	positive	positive	ADJ
brj-23138	138	24	categories	category	NOUN
brj-23138	138	25	;	;	PUNCT
brj-23138	138	26	tn	tn	PROPN
brj-23138	138	27	refers	refer	VERB
brj-23138	138	28	to	to	ADP
brj-23138	138	29	the	the	DET
brj-23138	138	30	number	number	NOUN
brj-23138	138	31	of	of	ADP
brj-23138	138	32	negative	negative	ADJ
brj-23138	138	33	category	category	NOUN
brj-23138	138	34	samples	sample	NOUN
brj-23138	138	35	that	that	PRON
brj-23138	138	36	the	the	DET
brj-23138	138	37	model	model	NOUN
brj-23138	138	38	correctly	correctly	ADV
brj-23138	138	39	predicts	predict	VERB
brj-23138	138	40	as	as	ADP
brj-23138	138	41	negative	negative	ADJ
brj-23138	138	42	categories	category	NOUN
brj-23138	138	43	;	;	PUNCT
brj-23138	138	44	fp	fp	X
brj-23138	138	45	refers	refer	VERB
brj-23138	138	46	to	to	ADP
brj-23138	138	47	the	the	DET
brj-23138	138	48	number	number	NOUN
brj-23138	138	49	of	of	ADP
brj-23138	138	50	negative	negative	ADJ
brj-23138	138	51	category	category	NOUN
brj-23138	138	52	samples	sample	NOUN
brj-23138	138	53	that	that	PRON
brj-23138	138	54	the	the	DET
brj-23138	138	55	model	model	NOUN
brj-23138	138	56	incorrectly	incorrectly	ADV
brj-23138	138	57	predicts	predict	VERB
brj-23138	138	58	as	as	ADP
brj-23138	138	59	positive	positive	ADJ
brj-23138	138	60	categories	category	NOUN
brj-23138	138	61	;	;	PUNCT
brj-23138	138	62	and	and	CCONJ
brj-23138	138	63	fn	fn	NOUN
brj-23138	138	64	refers	refer	VERB
brj-23138	138	65	to	to	ADP
brj-23138	138	66	the	the	DET
brj-23138	138	67	number	number	NOUN
brj-23138	138	68	of	of	ADP
brj-23138	138	69	positive	positive	ADJ
brj-23138	138	70	category	category	NOUN
brj-23138	138	71	samples	sample	NOUN
brj-23138	138	72	that	that	PRON
brj-23138	138	73	the	the	DET
brj-23138	138	74	model	model	NOUN
brj-23138	138	75	correctly	correctly	ADV
brj-23138	138	76	predicts	predict	VERB
brj-23138	138	77	as	as	ADP
brj-23138	138	78	negative	negative	ADJ
brj-23138	138	79	categories	category	NOUN
brj-23138	138	80	.	.	PUNCT
brj-23138	139	1	this	this	DET
brj-23138	139	2	study	study	NOUN
brj-23138	139	3	used	use	VERB
brj-23138	139	4	the	the	DET
brj-23138	139	5	test	test	NOUN
brj-23138	139	6	set	set	VERB
brj-23138	139	7	to	to	PART
brj-23138	139	8	construct	construct	VERB
brj-23138	139	9	confusion	confusion	NOUN
brj-23138	139	10	matrices	matrix	NOUN
brj-23138	139	11	for	for	ADP
brj-23138	139	12	each	each	DET
brj-23138	139	13	model	model	NOUN
brj-23138	139	14	to	to	PART
brj-23138	139	15	determine	determine	VERB
brj-23138	139	16	the	the	DET
brj-23138	139	17	classification	classification	NOUN
brj-23138	139	18	effect	effect	NOUN
brj-23138	139	19	.	.	PUNCT
brj-23138	140	1	software	software	VERB
brj-23138	140	2	the	the	DET
brj-23138	140	3	data	data	NOUN
brj-23138	140	4	analysis	analysis	NOUN
brj-23138	140	5	and	and	CCONJ
brj-23138	140	6	visualization	visualization	NOUN
brj-23138	140	7	were	be	AUX
brj-23138	140	8	implemented	implement	VERB
brj-23138	140	9	using	use	VERB
brj-23138	140	10	originpro	originpro	ADJ
brj-23138	140	11	2018	2018	NUM
brj-23138	140	12	(	(	PUNCT
brj-23138	140	13	originlab	originlab	PROPN
brj-23138	140	14	corporation	corporation	PROPN
brj-23138	140	15	,	,	PUNCT
brj-23138	140	16	northampton	northampton	PROPN
brj-23138	140	17	,	,	PUNCT
brj-23138	140	18	usa	usa	PROPN
brj-23138	140	19	)	)	PUNCT
brj-23138	140	20	.	.	PUNCT
brj-23138	141	1	extraction	extraction	NOUN
brj-23138	141	2	of	of	ADP
brj-23138	141	3	color	color	NOUN
brj-23138	141	4	feature	feature	NOUN
brj-23138	141	5	differences	difference	NOUN
brj-23138	141	6	were	be	AUX
brj-23138	141	7	implemented	implement	VERB
brj-23138	141	8	in	in	ADP
brj-23138	141	9	python	python	NOUN
brj-23138	141	10	3.10	3.10	NUM
brj-23138	141	11	(	(	PUNCT
brj-23138	141	12	jetbrains	jetbrain	NOUN
brj-23138	141	13	,	,	PUNCT
brj-23138	141	14	prague	prague	NOUN
brj-23138	141	15	,	,	PUNCT
brj-23138	141	16	czech	czech	PROPN
brj-23138	141	17	republic	republic	NOUN
brj-23138	141	18	)	)	PUNCT
brj-23138	141	19	,	,	PUNCT
brj-23138	141	20	and	and	CCONJ
brj-23138	141	21	the	the	DET
brj-23138	141	22	chemometric	chemometric	ADJ
brj-23138	141	23	methods	method	NOUN
brj-23138	141	24	,	,	PUNCT
brj-23138	141	25	including	include	VERB
brj-23138	141	26	pca	pca	PROPN
brj-23138	141	27	,	,	PUNCT
brj-23138	141	28	elm	elm	PROPN
brj-23138	141	29	,	,	PUNCT
brj-23138	141	30	svm	svm	NOUN
brj-23138	141	31	,	,	PUNCT
brj-23138	141	32	and	and	CCONJ
brj-23138	141	33	rf	rf	NOUN
brj-23138	141	34	,	,	PUNCT
brj-23138	141	35	were	be	AUX
brj-23138	141	36	implemented	implement	VERB
brj-23138	141	37	in	in	ADP
brj-23138	141	38	matlabr2021a	matlabr2021a	PROPN
brj-23138	141	39	(	(	PUNCT
brj-23138	141	40	mathworks	mathworks	PROPN
brj-23138	141	41	,	,	PUNCT
brj-23138	141	42	natick	natick	PROPN
brj-23138	141	43	,	,	PUNCT
brj-23138	141	44	usa	usa	PROPN
brj-23138	141	45	)	)	PUNCT
brj-23138	141	46	.	.	PUNCT
brj-23138	142	1	all	all	PRON
brj-23138	142	2	above	above	ADP
brj-23138	142	3	data	data	NOUN
brj-23138	142	4	processing	processing	NOUN
brj-23138	142	5	were	be	AUX
brj-23138	142	6	run	run	VERB
brj-23138	142	7	on	on	ADP
brj-23138	142	8	windows	window	NOUN
brj-23138	142	9	11	11	NUM
brj-23138	142	10	.	.	PUNCT
brj-23138	143	1	results	result	NOUN
brj-23138	143	2	and	and	CCONJ
brj-23138	143	3	discussion	discussion	NOUN
brj-23138	143	4	maize	maize	NOUN
brj-23138	143	5	silage	silage	NOUN
brj-23138	143	6	grades	grade	NOUN
brj-23138	143	7	and	and	CCONJ
brj-23138	143	8	samples	sample	NOUN
brj-23138	143	9	division	division	NOUN
brj-23138	143	10	figure	figure	NOUN
brj-23138	143	11	2	2	NUM
brj-23138	143	12	demonstrates	demonstrate	VERB
brj-23138	143	13	the	the	DET
brj-23138	143	14	changes	change	NOUN
brj-23138	143	15	in	in	ADP
brj-23138	143	16	ph	ph	NOUN
brj-23138	143	17	over	over	ADP
brj-23138	143	18	time	time	NOUN
brj-23138	143	19	of	of	ADP
brj-23138	143	20	maize	maize	NOUN
brj-23138	143	21	silage	silage	NOUN
brj-23138	143	22	under	under	ADP
brj-23138	143	23	aerobic	aerobic	ADJ
brj-23138	143	24	exposure	exposure	NOUN
brj-23138	143	25	conditions	condition	NOUN
brj-23138	143	26	at	at	ADP
brj-23138	143	27	ambient	ambient	ADJ
brj-23138	143	28	temperature	temperature	NOUN
brj-23138	143	29	.	.	PUNCT
brj-23138	144	1	as	as	SCONJ
brj-23138	144	2	the	the	DET
brj-23138	144	3	duration	duration	NOUN
brj-23138	144	4	of	of	ADP
brj-23138	144	5	aerobic	aerobic	ADJ
brj-23138	144	6	exposure	exposure	NOUN
brj-23138	144	7	increased	increase	VERB
brj-23138	144	8	,	,	PUNCT
brj-23138	144	9	the	the	DET
brj-23138	144	10	ph	ph	ADJ
brj-23138	144	11	value	value	NOUN
brj-23138	144	12	of	of	ADP
brj-23138	144	13	the	the	DET
brj-23138	144	14	continuous	continuous	ADJ
brj-23138	144	15	aerobic	aerobic	ADJ
brj-23138	144	16	exposure	exposure	NOUN
brj-23138	144	17	treatment	treatment	NOUN
brj-23138	144	18	group	group	NOUN
brj-23138	144	19	and	and	CCONJ
brj-23138	144	20	the	the	DET
brj-23138	144	21	intermittent	intermittent	ADJ
brj-23138	144	22	aerobic	aerobic	ADJ
brj-23138	144	23	exposure	exposure	NOUN
brj-23138	144	24	treatment	treatment	NOUN
brj-23138	144	25	group	group	NOUN
brj-23138	144	26	both	both	PRON
brj-23138	144	27	exhibited	exhibit	VERB
brj-23138	144	28	an	an	DET
brj-23138	144	29	increasing	increase	VERB
brj-23138	144	30	tendency	tendency	NOUN
brj-23138	144	31	.	.	PUNCT
brj-23138	145	1	the	the	DET
brj-23138	145	2	continuous	continuous	ADJ
brj-23138	145	3	aerobic	aerobic	ADJ
brj-23138	145	4	exposure	exposure	NOUN
brj-23138	145	5	treatment	treatment	NOUN
brj-23138	145	6	group	group	NOUN
brj-23138	145	7	experienced	experience	VERB
brj-23138	145	8	a	a	DET
brj-23138	145	9	significant	significant	ADJ
brj-23138	145	10	increase	increase	NOUN
brj-23138	145	11	in	in	ADP
brj-23138	145	12	ph	ph	ADJ
brj-23138	145	13	value	value	NOUN
brj-23138	145	14	compared	compare	VERB
brj-23138	145	15	to	to	ADP
brj-23138	145	16	the	the	DET
brj-23138	145	17	moderate	moderate	ADJ
brj-23138	145	18	rise	rise	NOUN
brj-23138	145	19	of	of	ADP
brj-23138	145	20	the	the	DET
brj-23138	145	21	intermittent	intermittent	ADJ
brj-23138	145	22	aerobic	aerobic	ADJ
brj-23138	145	23	exposure	exposure	NOUN
brj-23138	145	24	treatment	treatment	NOUN
brj-23138	145	25	group	group	NOUN
brj-23138	145	26	.	.	PUNCT
brj-23138	146	1	during	during	ADP
brj-23138	146	2	continuous	continuous	ADJ
brj-23138	146	3	aerobic	aerobic	ADJ
brj-23138	146	4	exposure	exposure	NOUN
brj-23138	146	5	,	,	PUNCT
brj-23138	146	6	the	the	DET
brj-23138	146	7	ph	ph	ADJ
brj-23138	146	8	value	value	NOUN
brj-23138	146	9	remained	remain	VERB
brj-23138	146	10	stable	stable	ADJ
brj-23138	146	11	during	during	ADP
brj-23138	146	12	the	the	DET
brj-23138	146	13	initial	initial	ADJ
brj-23138	146	14	phase	phase	NOUN
brj-23138	146	15	and	and	CCONJ
brj-23138	146	16	peer	peer	NOUN
brj-23138	146	17	-	-	PUNCT
brj-23138	146	18	reviewed	review	VERB
brj-23138	146	19	article	article	NOUN
brj-23138	146	20	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	146	21	tao	tao	PROPN
brj-23138	146	22	et	et	PROPN
brj-23138	146	23	al	al	PROPN
brj-23138	146	24	.	.	PROPN
brj-23138	147	1	(	(	PUNCT
brj-23138	147	2	2024	2024	NUM
brj-23138	147	3	)	)	PUNCT
brj-23138	147	4	.	.	PUNCT
brj-23138	148	1	“	"	PUNCT
brj-23138	148	2	maize	maize	VERB
brj-23138	148	3	silage	silage	NOUN
brj-23138	148	4	quality	quality	NOUN
brj-23138	148	5	testing	testing	NOUN
brj-23138	148	6	,	,	PUNCT
brj-23138	148	7	”	"	PUNCT
brj-23138	148	8	bioresources	bioresource	NOUN
brj-23138	148	9	19(2	19(2	NUM
brj-23138	148	10	)	)	PUNCT
brj-23138	148	11	,	,	PUNCT
brj-23138	148	12	3597	3597	NUM
brj-23138	148	13	-	-	SYM
brj-23138	148	14	3613	3613	NUM
brj-23138	148	15	.	.	PUNCT
brj-23138	149	1	3604	3604	NUM
brj-23138	149	2	increased	increase	VERB
brj-23138	149	3	slightly	slightly	ADV
brj-23138	149	4	on	on	ADP
brj-23138	149	5	the	the	DET
brj-23138	149	6	second	second	ADJ
brj-23138	149	7	day	day	NOUN
brj-23138	149	8	.	.	PUNCT
brj-23138	150	1	this	this	PRON
brj-23138	150	2	indicates	indicate	VERB
brj-23138	150	3	that	that	SCONJ
brj-23138	150	4	the	the	DET
brj-23138	150	5	feed	feed	NOUN
brj-23138	150	6	begins	begin	VERB
brj-23138	150	7	to	to	PART
brj-23138	150	8	oxidize	oxidize	VERB
brj-23138	150	9	and	and	CCONJ
brj-23138	150	10	ferment	ferment	NOUN
brj-23138	150	11	on	on	ADP
brj-23138	150	12	the	the	DET
brj-23138	150	13	second	second	ADJ
brj-23138	150	14	day	day	NOUN
brj-23138	150	15	as	as	SCONJ
brj-23138	150	16	it	it	PRON
brj-23138	150	17	begins	begin	VERB
brj-23138	150	18	to	to	PART
brj-23138	150	19	deteriorate	deteriorate	VERB
brj-23138	150	20	.	.	PUNCT
brj-23138	151	1	starting	start	VERB
brj-23138	151	2	with	with	ADP
brj-23138	151	3	the	the	DET
brj-23138	151	4	third	third	ADJ
brj-23138	151	5	day	day	NOUN
brj-23138	151	6	,	,	PUNCT
brj-23138	151	7	the	the	DET
brj-23138	151	8	temperature	temperature	NOUN
brj-23138	151	9	of	of	ADP
brj-23138	151	10	the	the	DET
brj-23138	151	11	maize	maize	NOUN
brj-23138	151	12	silage	silage	NOUN
brj-23138	151	13	samples	sample	NOUN
brj-23138	151	14	increased	increase	VERB
brj-23138	151	15	slightly	slightly	ADV
brj-23138	151	16	,	,	PUNCT
brj-23138	151	17	accompanied	accompany	VERB
brj-23138	151	18	by	by	ADP
brj-23138	151	19	a	a	DET
brj-23138	151	20	significant	significant	ADJ
brj-23138	151	21	increase	increase	NOUN
brj-23138	151	22	in	in	ADP
brj-23138	151	23	ph	ph	NOUN
brj-23138	151	24	,	,	PUNCT
brj-23138	151	25	from	from	ADP
brj-23138	151	26	4.40	4.40	NUM
brj-23138	151	27	to	to	ADP
brj-23138	151	28	6.60	6.60	NUM
brj-23138	151	29	.	.	PUNCT
brj-23138	152	1	with	with	ADP
brj-23138	152	2	time	time	NOUN
brj-23138	152	3	,	,	PUNCT
brj-23138	152	4	the	the	DET
brj-23138	152	5	temperature	temperature	NOUN
brj-23138	152	6	rose	rise	VERB
brj-23138	152	7	significantly	significantly	ADV
brj-23138	152	8	,	,	PUNCT
brj-23138	152	9	up	up	ADP
brj-23138	152	10	to	to	ADP
brj-23138	152	11	a	a	DET
brj-23138	152	12	maximum	maximum	NOUN
brj-23138	152	13	of	of	ADP
brj-23138	152	14	48	48	NUM
brj-23138	152	15	°	°	NOUN
brj-23138	152	16	c	c	NOUN
brj-23138	152	17	.	.	PUNCT
brj-23138	153	1	simultaneously	simultaneously	ADV
brj-23138	153	2	,	,	PUNCT
brj-23138	153	3	the	the	DET
brj-23138	153	4	odor	odor	NOUN
brj-23138	153	5	of	of	ADP
brj-23138	153	6	the	the	DET
brj-23138	153	7	maize	maize	NOUN
brj-23138	153	8	silage	silage	NOUN
brj-23138	153	9	sample	sample	NOUN
brj-23138	153	10	changed	change	VERB
brj-23138	153	11	from	from	ADP
brj-23138	153	12	a	a	DET
brj-23138	153	13	slightly	slightly	ADV
brj-23138	153	14	sweet	sweet	ADJ
brj-23138	153	15	or	or	CCONJ
brj-23138	153	16	fruity	fruity	NOUN
brj-23138	153	17	odor	odor	NOUN
brj-23138	153	18	in	in	ADP
brj-23138	153	19	the	the	DET
brj-23138	153	20	initial	initial	ADJ
brj-23138	153	21	period	period	NOUN
brj-23138	153	22	of	of	ADP
brj-23138	153	23	aerobic	aerobic	ADJ
brj-23138	153	24	exposure	exposure	NOUN
brj-23138	153	25	to	to	ADP
brj-23138	153	26	a	a	DET
brj-23138	153	27	putrid	putrid	ADJ
brj-23138	153	28	,	,	PUNCT
brj-23138	153	29	fishy	fishy	ADJ
brj-23138	153	30	,	,	PUNCT
brj-23138	153	31	or	or	CCONJ
brj-23138	153	32	decaying	decay	VERB
brj-23138	153	33	odor	odor	NOUN
brj-23138	153	34	,	,	PUNCT
brj-23138	153	35	and	and	CCONJ
brj-23138	153	36	the	the	DET
brj-23138	153	37	texture	texture	NOUN
brj-23138	153	38	turned	turn	VERB
brj-23138	153	39	stickier	sticki	ADJ
brj-23138	153	40	(	(	PUNCT
brj-23138	153	41	karnatam	karnatam	PROPN
brj-23138	153	42	et	et	PROPN
brj-23138	153	43	al	al	PROPN
brj-23138	153	44	.	.	PROPN
brj-23138	153	45	2023	2023	NUM
brj-23138	153	46	)	)	PUNCT
brj-23138	153	47	.	.	PUNCT
brj-23138	154	1	this	this	PRON
brj-23138	154	2	is	be	AUX
brj-23138	154	3	considered	consider	VERB
brj-23138	154	4	as	as	ADP
brj-23138	154	5	a	a	DET
brj-23138	154	6	consequence	consequence	NOUN
brj-23138	154	7	of	of	ADP
brj-23138	154	8	clostridium	clostridium	NOUN
brj-23138	154	9	contamination	contamination	NOUN
brj-23138	154	10	.	.	PUNCT
brj-23138	155	1	clostridium	clostridium	NOUN
brj-23138	155	2	is	be	AUX
brj-23138	155	3	a	a	DET
brj-23138	155	4	genus	genus	NOUN
brj-23138	155	5	of	of	ADP
brj-23138	155	6	gas	gas	NOUN
brj-23138	155	7	-	-	PUNCT
brj-23138	155	8	producing	produce	VERB
brj-23138	155	9	anaerobic	anaerobic	NOUN
brj-23138	155	10	bacteria	bacteria	NOUN
brj-23138	155	11	that	that	PRON
brj-23138	155	12	can	can	AUX
brj-23138	155	13	survive	survive	VERB
brj-23138	155	14	in	in	ADP
brj-23138	155	15	an	an	DET
brj-23138	155	16	anoxic	anoxic	ADJ
brj-23138	155	17	environment	environment	NOUN
brj-23138	155	18	and	and	CCONJ
brj-23138	155	19	produce	produce	VERB
brj-23138	155	20	gas	gas	NOUN
brj-23138	155	21	by	by	ADP
brj-23138	155	22	decomposing	decompose	VERB
brj-23138	155	23	organic	organic	ADJ
brj-23138	155	24	matter	matter	NOUN
brj-23138	155	25	in	in	ADP
brj-23138	155	26	the	the	DET
brj-23138	155	27	feed	feed	NOUN
brj-23138	155	28	,	,	PUNCT
brj-23138	155	29	resulting	result	VERB
brj-23138	155	30	in	in	ADP
brj-23138	155	31	a	a	DET
brj-23138	155	32	change	change	NOUN
brj-23138	155	33	in	in	ADP
brj-23138	155	34	the	the	DET
brj-23138	155	35	odor	odor	NOUN
brj-23138	155	36	of	of	ADP
brj-23138	155	37	the	the	DET
brj-23138	155	38	feed	feed	NOUN
brj-23138	155	39	(	(	PUNCT
brj-23138	155	40	zhang	zhang	PROPN
brj-23138	155	41	et	et	PROPN
brj-23138	155	42	al	al	PROPN
brj-23138	155	43	.	.	PROPN
brj-23138	155	44	2018	2018	NUM
brj-23138	155	45	)	)	PUNCT
brj-23138	155	46	.	.	PUNCT
brj-23138	156	1	from	from	ADP
brj-23138	156	2	the	the	DET
brj-23138	156	3	fifth	fifth	ADJ
brj-23138	156	4	to	to	ADP
brj-23138	156	5	the	the	DET
brj-23138	156	6	seventh	seventh	ADJ
brj-23138	156	7	day	day	NOUN
brj-23138	156	8	,	,	PUNCT
brj-23138	156	9	the	the	DET
brj-23138	156	10	molds	mold	NOUN
brj-23138	156	11	started	start	VERB
brj-23138	156	12	to	to	PART
brj-23138	156	13	grow	grow	VERB
brj-23138	156	14	and	and	CCONJ
brj-23138	156	15	the	the	DET
brj-23138	156	16	ph	ph	NOUN
brj-23138	156	17	steadily	steadily	ADV
brj-23138	156	18	increased	increase	VERB
brj-23138	156	19	,	,	PUNCT
brj-23138	156	20	fluctuating	fluctuate	VERB
brj-23138	156	21	between	between	ADP
brj-23138	156	22	6.70	6.70	NUM
brj-23138	156	23	and	and	CCONJ
brj-23138	156	24	7.60	7.60	NUM
brj-23138	156	25	.	.	PUNCT
brj-23138	157	1	at	at	ADP
brj-23138	157	2	this	this	DET
brj-23138	157	3	time	time	NOUN
brj-23138	157	4	,	,	PUNCT
brj-23138	157	5	maize	maize	NOUN
brj-23138	157	6	silage	silage	NOUN
brj-23138	157	7	had	have	AUX
brj-23138	157	8	deteriorated	deteriorate	VERB
brj-23138	157	9	entirely	entirely	ADV
brj-23138	157	10	and	and	CCONJ
brj-23138	157	11	could	could	AUX
brj-23138	157	12	not	not	PART
brj-23138	157	13	be	be	AUX
brj-23138	157	14	utilized	utilize	VERB
brj-23138	157	15	for	for	ADP
brj-23138	157	16	ruminant	ruminant	NOUN
brj-23138	157	17	feeding	feeding	NOUN
brj-23138	157	18	.	.	PUNCT
brj-23138	158	1	by	by	ADP
brj-23138	158	2	contrast	contrast	NOUN
brj-23138	158	3	,	,	PUNCT
brj-23138	158	4	the	the	DET
brj-23138	158	5	ph	ph	NOUN
brj-23138	158	6	of	of	ADP
brj-23138	158	7	the	the	DET
brj-23138	158	8	intermittent	intermittent	ADJ
brj-23138	158	9	aerobic	aerobic	ADJ
brj-23138	158	10	exposure	exposure	NOUN
brj-23138	158	11	treatment	treatment	NOUN
brj-23138	158	12	group	group	NOUN
brj-23138	158	13	gradually	gradually	ADV
brj-23138	158	14	rose	rise	VERB
brj-23138	158	15	from	from	ADP
brj-23138	158	16	3.66	3.66	NUM
brj-23138	158	17	to	to	ADP
brj-23138	158	18	4.28	4.28	NUM
brj-23138	158	19	during	during	ADP
brj-23138	158	20	the	the	DET
brj-23138	158	21	seven	seven	NUM
brj-23138	158	22	days	day	NOUN
brj-23138	158	23	.	.	PUNCT
brj-23138	159	1	the	the	DET
brj-23138	159	2	quality	quality	NOUN
brj-23138	159	3	of	of	ADP
brj-23138	159	4	maize	maize	NOUN
brj-23138	159	5	silage	silage	NOUN
brj-23138	159	6	was	be	AUX
brj-23138	159	7	still	still	ADV
brj-23138	159	8	within	within	ADP
brj-23138	159	9	acceptable	acceptable	ADJ
brj-23138	159	10	grade	grade	NOUN
brj-23138	159	11	.	.	PUNCT
brj-23138	160	1	the	the	DET
brj-23138	160	2	results	result	NOUN
brj-23138	160	3	indicated	indicate	VERB
brj-23138	160	4	that	that	SCONJ
brj-23138	160	5	maize	maize	NOUN
brj-23138	160	6	silage	silage	NOUN
brj-23138	160	7	subjected	subject	VERB
brj-23138	160	8	to	to	ADP
brj-23138	160	9	continuous	continuous	ADJ
brj-23138	160	10	aerobic	aerobic	ADJ
brj-23138	160	11	exposure	exposure	NOUN
brj-23138	160	12	conditions	condition	NOUN
brj-23138	160	13	was	be	AUX
brj-23138	160	14	more	more	ADV
brj-23138	160	15	susceptible	susceptible	ADJ
brj-23138	160	16	to	to	ADP
brj-23138	160	17	deterioration	deterioration	NOUN
brj-23138	160	18	.	.	PUNCT
brj-23138	161	1	changes	change	NOUN
brj-23138	161	2	in	in	ADP
brj-23138	161	3	ph	ph	ADJ
brj-23138	161	4	values	value	NOUN
brj-23138	161	5	mainly	mainly	ADV
brj-23138	161	6	originated	originate	VERB
brj-23138	161	7	from	from	ADP
brj-23138	161	8	changes	change	NOUN
brj-23138	161	9	in	in	ADP
brj-23138	161	10	lactic	lactic	ADJ
brj-23138	161	11	acid	acid	NOUN
brj-23138	161	12	content	content	NOUN
brj-23138	161	13	.	.	PUNCT
brj-23138	162	1	during	during	ADP
brj-23138	162	2	the	the	DET
brj-23138	162	3	initial	initial	ADJ
brj-23138	162	4	fermentation	fermentation	NOUN
brj-23138	162	5	stages	stage	NOUN
brj-23138	162	6	of	of	ADP
brj-23138	162	7	maize	maize	NOUN
brj-23138	162	8	silage	silage	NOUN
brj-23138	162	9	,	,	PUNCT
brj-23138	162	10	lactic	lactic	ADJ
brj-23138	162	11	acid	acid	NOUN
brj-23138	162	12	was	be	AUX
brj-23138	162	13	the	the	DET
brj-23138	162	14	primary	primary	ADJ
brj-23138	162	15	fermentation	fermentation	NOUN
brj-23138	162	16	product	product	NOUN
brj-23138	162	17	,	,	PUNCT
brj-23138	162	18	keeping	keep	VERB
brj-23138	162	19	the	the	DET
brj-23138	162	20	feed	feed	NOUN
brj-23138	162	21	in	in	ADP
brj-23138	162	22	an	an	DET
brj-23138	162	23	acidic	acidic	ADJ
brj-23138	162	24	environment	environment	NOUN
brj-23138	162	25	and	and	CCONJ
brj-23138	162	26	helping	help	VERB
brj-23138	162	27	to	to	PART
brj-23138	162	28	inhibit	inhibit	VERB
brj-23138	162	29	the	the	DET
brj-23138	162	30	reproduction	reproduction	NOUN
brj-23138	162	31	of	of	ADP
brj-23138	162	32	harmful	harmful	ADJ
brj-23138	162	33	microorganisms	microorganism	NOUN
brj-23138	162	34	.	.	PUNCT
brj-23138	163	1	however	however	ADV
brj-23138	163	2	,	,	PUNCT
brj-23138	163	3	the	the	DET
brj-23138	163	4	oxidation	oxidation	NOUN
brj-23138	163	5	reaction	reaction	NOUN
brj-23138	163	6	converts	convert	VERB
brj-23138	163	7	lactic	lactic	ADJ
brj-23138	163	8	acid	acid	NOUN
brj-23138	163	9	to	to	ADP
brj-23138	163	10	acetic	acetic	ADJ
brj-23138	163	11	acid	acid	NOUN
brj-23138	163	12	,	,	PUNCT
brj-23138	163	13	increasing	increase	VERB
brj-23138	163	14	the	the	DET
brj-23138	163	15	ph	ph	NOUN
brj-23138	163	16	of	of	ADP
brj-23138	163	17	maize	maize	NOUN
brj-23138	163	18	silage	silage	NOUN
brj-23138	163	19	.	.	PUNCT
brj-23138	164	1	the	the	DET
brj-23138	164	2	changes	change	NOUN
brj-23138	164	3	lead	lead	VERB
brj-23138	164	4	to	to	ADP
brj-23138	164	5	the	the	DET
brj-23138	164	6	loss	loss	NOUN
brj-23138	164	7	of	of	ADP
brj-23138	164	8	a	a	DET
brj-23138	164	9	favorable	favorable	ADJ
brj-23138	164	10	acidic	acidic	ADJ
brj-23138	164	11	environment	environment	NOUN
brj-23138	164	12	for	for	ADP
brj-23138	164	13	the	the	DET
brj-23138	164	14	forage	forage	NOUN
brj-23138	164	15	,	,	PUNCT
brj-23138	164	16	which	which	PRON
brj-23138	164	17	further	far	ADV
brj-23138	164	18	fosters	foster	VERB
brj-23138	164	19	the	the	DET
brj-23138	164	20	growth	growth	NOUN
brj-23138	164	21	of	of	ADP
brj-23138	164	22	unfavorable	unfavorable	ADJ
brj-23138	164	23	microorganisms	microorganism	NOUN
brj-23138	164	24	and	and	CCONJ
brj-23138	164	25	leads	lead	VERB
brj-23138	164	26	to	to	ADP
brj-23138	164	27	the	the	DET
brj-23138	164	28	ultimate	ultimate	ADJ
brj-23138	164	29	deterioration	deterioration	NOUN
brj-23138	164	30	of	of	ADP
brj-23138	164	31	the	the	DET
brj-23138	164	32	maize	maize	NOUN
brj-23138	164	33	silage	silage	NOUN
brj-23138	164	34	(	(	PUNCT
brj-23138	164	35	wilkinson	wilkinson	PROPN
brj-23138	164	36	and	and	CCONJ
brj-23138	164	37	davies	davy	NOUN
brj-23138	164	38	2013	2013	NUM
brj-23138	164	39	)	)	PUNCT
brj-23138	164	40	.	.	PUNCT
brj-23138	165	1	the	the	DET
brj-23138	165	2	ph	ph	NOUN
brj-23138	165	3	of	of	ADP
brj-23138	165	4	samples	sample	NOUN
brj-23138	165	5	ranged	range	VERB
brj-23138	165	6	from	from	ADP
brj-23138	165	7	3.62	3.62	NUM
brj-23138	165	8	to	to	ADP
brj-23138	165	9	7.60	7.60	NUM
brj-23138	165	10	.	.	PUNCT
brj-23138	166	1	the	the	DET
brj-23138	166	2	quality	quality	NOUN
brj-23138	166	3	of	of	ADP
brj-23138	166	4	maize	maize	NOUN
brj-23138	166	5	silage	silage	NOUN
brj-23138	166	6	forage	forage	NOUN
brj-23138	166	7	can	can	AUX
brj-23138	166	8	be	be	AUX
brj-23138	166	9	divided	divide	VERB
brj-23138	166	10	into	into	ADP
brj-23138	166	11	three	three	NUM
brj-23138	166	12	stages	stage	NOUN
brj-23138	166	13	under	under	ADP
brj-23138	166	14	continuous	continuous	ADJ
brj-23138	166	15	aerobic	aerobic	ADJ
brj-23138	166	16	exposure	exposure	NOUN
brj-23138	166	17	treatment	treatment	NOUN
brj-23138	166	18	:	:	PUNCT
brj-23138	166	19	fresh	fresh	ADJ
brj-23138	166	20	phase	phase	NOUN
brj-23138	166	21	for	for	ADP
brj-23138	166	22	0	0	NUM
brj-23138	166	23	to	to	PART
brj-23138	166	24	1	1	NUM
brj-23138	166	25	days	day	NOUN
brj-23138	166	26	,	,	PUNCT
brj-23138	166	27	medium	medium	ADJ
brj-23138	166	28	phase	phase	NOUN
brj-23138	166	29	for	for	ADP
brj-23138	166	30	the	the	DET
brj-23138	166	31	second	second	ADJ
brj-23138	166	32	day	day	NOUN
brj-23138	166	33	,	,	PUNCT
brj-23138	166	34	and	and	CCONJ
brj-23138	166	35	deteriorated	deteriorate	VERB
brj-23138	166	36	phase	phase	NOUN
brj-23138	166	37	for	for	ADP
brj-23138	166	38	3	3	NUM
brj-23138	166	39	to	to	PART
brj-23138	166	40	7	7	NUM
brj-23138	166	41	days	day	NOUN
brj-23138	166	42	.	.	PUNCT
brj-23138	167	1	as	as	ADP
brj-23138	167	2	for	for	ADP
brj-23138	167	3	the	the	DET
brj-23138	167	4	intermittent	intermittent	ADJ
brj-23138	167	5	aerobic	aerobic	ADJ
brj-23138	167	6	exposure	exposure	NOUN
brj-23138	167	7	treatments	treatment	NOUN
brj-23138	167	8	,	,	PUNCT
brj-23138	167	9	it	it	PRON
brj-23138	167	10	is	be	AUX
brj-23138	167	11	divided	divide	VERB
brj-23138	167	12	into	into	ADP
brj-23138	167	13	two	two	NUM
brj-23138	167	14	stages	stage	NOUN
brj-23138	167	15	:	:	PUNCT
brj-23138	167	16	fresh	fresh	ADJ
brj-23138	167	17	phase	phase	NOUN
brj-23138	167	18	for	for	ADP
brj-23138	167	19	0	0	NUM
brj-23138	167	20	to	to	PART
brj-23138	167	21	3	3	NUM
brj-23138	167	22	days	day	NOUN
brj-23138	167	23	and	and	CCONJ
brj-23138	167	24	medium	medium	NOUN
brj-23138	167	25	phase	phase	NOUN
brj-23138	167	26	for	for	ADP
brj-23138	167	27	4	4	NUM
brj-23138	167	28	to	to	PART
brj-23138	167	29	7	7	NUM
brj-23138	167	30	days	day	NOUN
brj-23138	167	31	.	.	PUNCT
brj-23138	168	1	therefore	therefore	ADV
brj-23138	168	2	,	,	PUNCT
brj-23138	168	3	48	48	NUM
brj-23138	168	4	samples	sample	NOUN
brj-23138	168	5	of	of	ADP
brj-23138	168	6	fresh	fresh	ADJ
brj-23138	168	7	,	,	PUNCT
brj-23138	168	8	36	36	NUM
brj-23138	168	9	samples	sample	NOUN
brj-23138	168	10	of	of	ADP
brj-23138	168	11	medium	medium	NOUN
brj-23138	168	12	,	,	PUNCT
brj-23138	168	13	and	and	CCONJ
brj-23138	168	14	60	60	NUM
brj-23138	168	15	samples	sample	NOUN
brj-23138	168	16	of	of	ADP
brj-23138	168	17	deterioration	deterioration	NOUN
brj-23138	168	18	were	be	AUX
brj-23138	168	19	collected	collect	VERB
brj-23138	168	20	.	.	PUNCT
brj-23138	169	1	subsequently	subsequently	ADV
brj-23138	169	2	,	,	PUNCT
brj-23138	169	3	the	the	DET
brj-23138	169	4	kennard	kennard	NOUN
brj-23138	169	5	-	-	PUNCT
brj-23138	169	6	stone	stone	NOUN
brj-23138	169	7	(	(	PUNCT
brj-23138	169	8	ks	ks	NOUN
brj-23138	169	9	)	)	PUNCT
brj-23138	169	10	method	method	NOUN
brj-23138	169	11	was	be	AUX
brj-23138	169	12	utilized	utilize	VERB
brj-23138	169	13	to	to	PART
brj-23138	169	14	classify	classify	VERB
brj-23138	169	15	the	the	DET
brj-23138	169	16	144	144	NUM
brj-23138	169	17	samples	sample	NOUN
brj-23138	169	18	.	.	PUNCT
brj-23138	170	1	three	three	NUM
brj-23138	170	2	quarters	quarter	NOUN
brj-23138	170	3	(	(	PUNCT
brj-23138	170	4	108	108	NUM
brj-23138	170	5	)	)	PUNCT
brj-23138	170	6	of	of	ADP
brj-23138	170	7	the	the	DET
brj-23138	170	8	samples	sample	NOUN
brj-23138	170	9	were	be	AUX
brj-23138	170	10	used	use	VERB
brj-23138	170	11	as	as	ADP
brj-23138	170	12	the	the	DET
brj-23138	170	13	training	training	NOUN
brj-23138	170	14	set	set	VERB
brj-23138	170	15	to	to	PART
brj-23138	170	16	develop	develop	VERB
brj-23138	170	17	the	the	DET
brj-23138	170	18	qualitative	qualitative	ADJ
brj-23138	170	19	discrimination	discrimination	NOUN
brj-23138	170	20	model	model	NOUN
brj-23138	170	21	,	,	PUNCT
brj-23138	170	22	and	and	CCONJ
brj-23138	170	23	the	the	DET
brj-23138	170	24	remaining	remain	VERB
brj-23138	170	25	quarter	quarter	NOUN
brj-23138	170	26	(	(	PUNCT
brj-23138	170	27	36	36	NUM
brj-23138	170	28	)	)	PUNCT
brj-23138	170	29	formed	form	VERB
brj-23138	170	30	the	the	DET
brj-23138	170	31	prediction	prediction	NOUN
brj-23138	170	32	set	set	VERB
brj-23138	170	33	for	for	ADP
brj-23138	170	34	validating	validate	VERB
brj-23138	170	35	the	the	DET
brj-23138	170	36	performance	performance	NOUN
brj-23138	170	37	of	of	ADP
brj-23138	170	38	the	the	DET
brj-23138	170	39	developed	develop	VERB
brj-23138	170	40	model	model	NOUN
brj-23138	170	41	(	(	PUNCT
brj-23138	170	42	wu	wu	PROPN
brj-23138	170	43	et	et	PROPN
brj-23138	170	44	al	al	PROPN
brj-23138	170	45	.	.	PROPN
brj-23138	170	46	2015	2015	NUM
brj-23138	170	47	)	)	PUNCT
brj-23138	170	48	.	.	PUNCT
brj-23138	171	1	fig	fig	NOUN
brj-23138	171	2	.	.	PUNCT
brj-23138	172	1	2	2	X
brj-23138	172	2	.	.	X
brj-23138	172	3	changes	change	NOUN
brj-23138	172	4	in	in	ADP
brj-23138	172	5	ph	ph	NOUN
brj-23138	172	6	of	of	ADP
brj-23138	172	7	maize	maize	NOUN
brj-23138	172	8	silage	silage	NOUN
brj-23138	172	9	under	under	ADP
brj-23138	172	10	different	different	ADJ
brj-23138	172	11	aerobic	aerobic	ADJ
brj-23138	172	12	exposure	exposure	NOUN
brj-23138	172	13	treatments	treatment	NOUN
brj-23138	172	14	during	during	ADP
brj-23138	172	15	7	7	NUM
brj-23138	172	16	days	day	NOUN
brj-23138	172	17	.	.	PUNCT
brj-23138	173	1	error	error	NOUN
brj-23138	173	2	bars	bar	NOUN
brj-23138	173	3	represent	represent	VERB
brj-23138	173	4	±	±	NUM
brj-23138	173	5	standard	standard	ADJ
brj-23138	173	6	deviation	deviation	NOUN
brj-23138	173	7	.	.	PUNCT
brj-23138	174	1	peer	peer	NOUN
brj-23138	174	2	-	-	PUNCT
brj-23138	174	3	reviewed	review	VERB
brj-23138	174	4	article	article	NOUN
brj-23138	174	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	174	6	tao	tao	PROPN
brj-23138	174	7	et	et	PROPN
brj-23138	174	8	al	al	PROPN
brj-23138	174	9	.	.	PROPN
brj-23138	175	1	(	(	PUNCT
brj-23138	175	2	2024	2024	NUM
brj-23138	175	3	)	)	PUNCT
brj-23138	175	4	.	.	PUNCT
brj-23138	176	1	“	"	PUNCT
brj-23138	176	2	maize	maize	VERB
brj-23138	176	3	silage	silage	NOUN
brj-23138	176	4	quality	quality	NOUN
brj-23138	176	5	testing	testing	NOUN
brj-23138	176	6	,	,	PUNCT
brj-23138	176	7	”	"	PUNCT
brj-23138	176	8	bioresources	bioresource	NOUN
brj-23138	176	9	19(2	19(2	NUM
brj-23138	176	10	)	)	PUNCT
brj-23138	176	11	,	,	PUNCT
brj-23138	176	12	3597	3597	NUM
brj-23138	176	13	-	-	SYM
brj-23138	176	14	3613	3613	NUM
brj-23138	176	15	.	.	PUNCT
brj-23138	177	1	3605	3605	NUM
brj-23138	177	2	response	response	NOUN
brj-23138	177	3	results	result	NOUN
brj-23138	177	4	of	of	ADP
brj-23138	177	5	colorimetric	colorimetric	ADJ
brj-23138	177	6	sensor	sensor	NOUN
brj-23138	177	7	array	array	NOUN
brj-23138	177	8	figure	figure	VERB
brj-23138	177	9	3	3	NUM
brj-23138	177	10	shows	show	VERB
brj-23138	177	11	the	the	DET
brj-23138	177	12	images	image	NOUN
brj-23138	177	13	of	of	ADP
brj-23138	177	14	the	the	DET
brj-23138	177	15	characteristic	characteristic	ADJ
brj-23138	177	16	differences	difference	NOUN
brj-23138	177	17	among	among	ADP
brj-23138	177	18	the	the	DET
brj-23138	177	19	maize	maize	NOUN
brj-23138	177	20	silage	silage	NOUN
brj-23138	177	21	samples	sample	NOUN
brj-23138	177	22	of	of	ADP
brj-23138	177	23	different	different	ADJ
brj-23138	177	24	qualities	quality	NOUN
brj-23138	177	25	in	in	ADP
brj-23138	177	26	different	different	ADJ
brj-23138	177	27	color	color	NOUN
brj-23138	177	28	spaces	space	NOUN
brj-23138	177	29	.	.	PUNCT
brj-23138	178	1	the	the	DET
brj-23138	178	2	study	study	NOUN
brj-23138	178	3	captured	capture	VERB
brj-23138	178	4	color	color	NOUN
brj-23138	178	5	variations	variation	NOUN
brj-23138	178	6	by	by	ADP
brj-23138	178	7	integrating	integrate	VERB
brj-23138	178	8	these	these	DET
brj-23138	178	9	three	three	NUM
brj-23138	178	10	color	color	NOUN
brj-23138	178	11	spaces	space	NOUN
brj-23138	178	12	to	to	PART
brj-23138	178	13	deeply	deeply	ADV
brj-23138	178	14	analyze	analyze	VERB
brj-23138	178	15	and	and	CCONJ
brj-23138	178	16	differentiate	differentiate	VERB
brj-23138	178	17	the	the	DET
brj-23138	178	18	quality	quality	NOUN
brj-23138	178	19	levels	level	NOUN
brj-23138	178	20	of	of	ADP
brj-23138	178	21	maize	maize	NOUN
brj-23138	178	22	silage	silage	NOUN
brj-23138	178	23	samples	sample	NOUN
brj-23138	178	24	.	.	PUNCT
brj-23138	179	1	rgb	rgb	PROPN
brj-23138	179	2	space	space	NOUN
brj-23138	179	3	focuses	focus	VERB
brj-23138	179	4	on	on	ADP
brj-23138	179	5	the	the	DET
brj-23138	179	6	spectral	spectral	ADJ
brj-23138	179	7	components	component	NOUN
brj-23138	179	8	of	of	ADP
brj-23138	179	9	colors	color	NOUN
brj-23138	179	10	,	,	PUNCT
brj-23138	179	11	hsv	hsv	PROPN
brj-23138	179	12	emphasizes	emphasize	VERB
brj-23138	179	13	on	on	ADP
brj-23138	179	14	hue	hue	NOUN
brj-23138	179	15	,	,	PUNCT
brj-23138	179	16	saturation	saturation	NOUN
brj-23138	179	17	,	,	PUNCT
brj-23138	179	18	and	and	CCONJ
brj-23138	179	19	luminance	luminance	NOUN
brj-23138	179	20	,	,	PUNCT
brj-23138	179	21	and	and	CCONJ
brj-23138	179	22	lab	lab	NOUN
brj-23138	179	23	space	space	NOUN
brj-23138	179	24	,	,	PUNCT
brj-23138	179	25	based	base	VERB
brj-23138	179	26	on	on	ADP
brj-23138	179	27	human	human	ADJ
brj-23138	179	28	vision	vision	NOUN
brj-23138	179	29	's	's	PART
brj-23138	179	30	perception	perception	NOUN
brj-23138	179	31	of	of	ADP
brj-23138	179	32	color	color	NOUN
brj-23138	179	33	differences	difference	NOUN
brj-23138	179	34	,	,	PUNCT
brj-23138	179	35	which	which	PRON
brj-23138	179	36	is	be	AUX
brj-23138	179	37	more	more	ADV
brj-23138	179	38	sensitive	sensitive	ADJ
brj-23138	179	39	to	to	ADP
brj-23138	179	40	color	color	NOUN
brj-23138	179	41	contrasts	contrast	NOUN
brj-23138	179	42	and	and	CCONJ
brj-23138	179	43	luminance	luminance	NOUN
brj-23138	179	44	variations	variation	NOUN
brj-23138	179	45	.	.	PUNCT
brj-23138	180	1	each	each	PRON
brj-23138	180	2	of	of	ADP
brj-23138	180	3	these	these	DET
brj-23138	180	4	color	color	NOUN
brj-23138	180	5	spaces	space	NOUN
brj-23138	180	6	contributes	contribute	VERB
brj-23138	180	7	a	a	DET
brj-23138	180	8	deep	deep	ADJ
brj-23138	180	9	understanding	understanding	NOUN
brj-23138	180	10	of	of	ADP
brj-23138	180	11	color	color	NOUN
brj-23138	180	12	variation	variation	NOUN
brj-23138	180	13	from	from	ADP
brj-23138	180	14	a	a	DET
brj-23138	180	15	unique	unique	ADJ
brj-23138	180	16	perspective	perspective	NOUN
brj-23138	180	17	,	,	PUNCT
brj-23138	180	18	jointly	jointly	ADV
brj-23138	180	19	depicting	depict	VERB
brj-23138	180	20	images	image	NOUN
brj-23138	180	21	that	that	PRON
brj-23138	180	22	accurately	accurately	ADV
brj-23138	180	23	map	map	VERB
brj-23138	180	24	the	the	DET
brj-23138	180	25	characteristics	characteristic	NOUN
brj-23138	180	26	of	of	ADP
brj-23138	180	27	different	different	ADJ
brj-23138	180	28	qualities	quality	NOUN
brj-23138	180	29	of	of	ADP
brj-23138	180	30	maize	maize	NOUN
brj-23138	180	31	silage	silage	NOUN
brj-23138	180	32	.	.	PUNCT
brj-23138	181	1	twelve	twelve	NUM
brj-23138	181	2	color	color	NOUN
brj-23138	181	3	-	-	PUNCT
brj-23138	181	4	sensitive	sensitive	ADJ
brj-23138	181	5	points	point	NOUN
brj-23138	181	6	present	present	ADJ
brj-23138	181	7	color	color	NOUN
brj-23138	181	8	variations	variation	NOUN
brj-23138	181	9	,	,	PUNCT
brj-23138	181	10	and	and	CCONJ
brj-23138	181	11	different	different	ADJ
brj-23138	181	12	quality	quality	NOUN
brj-23138	181	13	grades	grade	NOUN
brj-23138	181	14	of	of	ADP
brj-23138	181	15	maize	maize	NOUN
brj-23138	181	16	silage	silage	NOUN
brj-23138	181	17	have	have	VERB
brj-23138	181	18	their	their	PRON
brj-23138	181	19	unique	unique	ADJ
brj-23138	181	20	images	image	NOUN
brj-23138	181	21	,	,	PUNCT
brj-23138	181	22	which	which	PRON
brj-23138	181	23	can	can	AUX
brj-23138	181	24	be	be	AUX
brj-23138	181	25	distinguished	distinguish	VERB
brj-23138	181	26	by	by	ADP
brj-23138	181	27	the	the	DET
brj-23138	181	28	naked	naked	ADJ
brj-23138	181	29	eye	eye	NOUN
brj-23138	181	30	.	.	PUNCT
brj-23138	182	1	this	this	PRON
brj-23138	182	2	is	be	AUX
brj-23138	182	3	primarily	primarily	ADV
brj-23138	182	4	attributed	attribute	VERB
brj-23138	182	5	to	to	ADP
brj-23138	182	6	the	the	DET
brj-23138	182	7	different	different	ADJ
brj-23138	182	8	composition	composition	NOUN
brj-23138	182	9	and	and	CCONJ
brj-23138	182	10	content	content	NOUN
brj-23138	182	11	of	of	ADP
brj-23138	182	12	volatile	volatile	ADJ
brj-23138	182	13	components	component	NOUN
brj-23138	182	14	in	in	ADP
brj-23138	182	15	different	different	ADJ
brj-23138	182	16	quality	quality	NOUN
brj-23138	182	17	maize	maize	NOUN
brj-23138	182	18	silage	silage	NOUN
brj-23138	182	19	samples	sample	NOUN
brj-23138	182	20	.	.	PUNCT
brj-23138	183	1	the	the	DET
brj-23138	183	2	colorimetric	colorimetric	ADJ
brj-23138	183	3	sensors	sensor	NOUN
brj-23138	183	4	array	array	VERB
brj-23138	183	5	is	be	AUX
brj-23138	183	6	sensitive	sensitive	ADJ
brj-23138	183	7	to	to	ADP
brj-23138	183	8	the	the	DET
brj-23138	183	9	volatile	volatile	ADJ
brj-23138	183	10	organic	organic	ADJ
brj-23138	183	11	compounds	compound	NOUN
brj-23138	183	12	in	in	ADP
brj-23138	183	13	deteriorated	deteriorated	ADJ
brj-23138	183	14	maize	maize	NOUN
brj-23138	183	15	silage	silage	NOUN
brj-23138	183	16	,	,	PUNCT
brj-23138	183	17	which	which	PRON
brj-23138	183	18	results	result	VERB
brj-23138	183	19	in	in	ADP
brj-23138	183	20	the	the	DET
brj-23138	183	21	volatile	volatile	ADJ
brj-23138	183	22	components	component	NOUN
brj-23138	183	23	reacting	react	VERB
brj-23138	183	24	differently	differently	ADV
brj-23138	183	25	with	with	ADP
brj-23138	183	26	the	the	DET
brj-23138	183	27	individual	individual	ADJ
brj-23138	183	28	color	color	NOUN
brj-23138	183	29	-	-	PUNCT
brj-23138	183	30	sensitive	sensitive	ADJ
brj-23138	183	31	points	point	NOUN
brj-23138	183	32	on	on	ADP
brj-23138	183	33	the	the	DET
brj-23138	183	34	sensor	sensor	NOUN
brj-23138	183	35	array	array	NOUN
brj-23138	183	36	,	,	PUNCT
brj-23138	183	37	thus	thus	ADV
brj-23138	183	38	showing	show	VERB
brj-23138	183	39	different	different	ADJ
brj-23138	183	40	color	color	NOUN
brj-23138	183	41	changes	change	NOUN
brj-23138	183	42	.	.	PUNCT
brj-23138	184	1	therefore	therefore	ADV
brj-23138	184	2	,	,	PUNCT
brj-23138	184	3	the	the	DET
brj-23138	184	4	combination	combination	NOUN
brj-23138	184	5	of	of	ADP
brj-23138	184	6	108	108	NUM
brj-23138	184	7	color	color	NOUN
brj-23138	184	8	feature	feature	NOUN
brj-23138	184	9	variables	variable	NOUN
brj-23138	184	10	from	from	ADP
brj-23138	184	11	different	different	ADJ
brj-23138	184	12	images	image	NOUN
brj-23138	184	13	with	with	ADP
brj-23138	184	14	appropriate	appropriate	ADJ
brj-23138	184	15	chemometric	chemometric	ADJ
brj-23138	184	16	methods	method	NOUN
brj-23138	184	17	has	have	VERB
brj-23138	184	18	the	the	DET
brj-23138	184	19	potential	potential	NOUN
brj-23138	184	20	to	to	PART
brj-23138	184	21	differentiate	differentiate	VERB
brj-23138	184	22	maize	maize	NOUN
brj-23138	184	23	silage	silage	NOUN
brj-23138	184	24	quality	quality	NOUN
brj-23138	184	25	.	.	PUNCT
brj-23138	185	1	(	(	PUNCT
brj-23138	185	2	a	a	X
brj-23138	185	3	)	)	PUNCT
brj-23138	185	4	fresh	fresh	ADJ
brj-23138	185	5	medium	medium	NOUN
brj-23138	185	6	deterioration	deterioration	NOUN
brj-23138	185	7	(	(	PUNCT
brj-23138	185	8	b	b	NOUN
brj-23138	185	9	)	)	PUNCT
brj-23138	185	10	fresh	fresh	ADJ
brj-23138	185	11	medium	medium	NOUN
brj-23138	185	12	deterioration	deterioration	NOUN
brj-23138	185	13	(	(	PUNCT
brj-23138	185	14	c	c	NOUN
brj-23138	185	15	)	)	PUNCT
brj-23138	185	16	fresh	fresh	ADJ
brj-23138	185	17	medium	medium	ADJ
brj-23138	185	18	deterioration	deterioration	NOUN
brj-23138	185	19	fig	fig	NOUN
brj-23138	185	20	.	.	PUNCT
brj-23138	186	1	3	3	X
brj-23138	186	2	.	.	X
brj-23138	187	1	the	the	DET
brj-23138	187	2	color	color	NOUN
brj-23138	187	3	differences	difference	NOUN
brj-23138	187	4	image	image	NOUN
brj-23138	187	5	of	of	ADP
brj-23138	187	6	sensor	sensor	NOUN
brj-23138	187	7	array	array	NOUN
brj-23138	187	8	with	with	ADP
brj-23138	187	9	different	different	ADJ
brj-23138	187	10	grades	grade	NOUN
brj-23138	187	11	of	of	ADP
brj-23138	187	12	maize	maize	NOUN
brj-23138	187	13	silage	silage	NOUN
brj-23138	187	14	samples	sample	NOUN
brj-23138	187	15	during	during	ADP
brj-23138	187	16	7	7	NUM
brj-23138	187	17	days	day	NOUN
brj-23138	187	18	.	.	PUNCT
brj-23138	188	1	(	(	PUNCT
brj-23138	188	2	a	a	X
brj-23138	188	3	)	)	PUNCT
brj-23138	188	4	rgb	rgb	PROPN
brj-23138	188	5	,	,	PUNCT
brj-23138	188	6	(	(	PUNCT
brj-23138	188	7	b	b	X
brj-23138	188	8	)	)	PUNCT
brj-23138	188	9	hsv	hsv	PROPN
brj-23138	188	10	,	,	PUNCT
brj-23138	188	11	(	(	PUNCT
brj-23138	188	12	c	c	X
brj-23138	188	13	)	)	PUNCT
brj-23138	188	14	lab	lab	NOUN
brj-23138	188	15	peer	peer	NOUN
brj-23138	188	16	-	-	PUNCT
brj-23138	188	17	reviewed	review	VERB
brj-23138	188	18	article	article	NOUN
brj-23138	188	19	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	188	20	tao	tao	PROPN
brj-23138	188	21	et	et	PROPN
brj-23138	188	22	al	al	PROPN
brj-23138	188	23	.	.	PROPN
brj-23138	189	1	(	(	PUNCT
brj-23138	189	2	2024	2024	NUM
brj-23138	189	3	)	)	PUNCT
brj-23138	189	4	.	.	PUNCT
brj-23138	190	1	“	"	PUNCT
brj-23138	190	2	maize	maize	VERB
brj-23138	190	3	silage	silage	NOUN
brj-23138	190	4	quality	quality	NOUN
brj-23138	190	5	testing	testing	NOUN
brj-23138	190	6	,	,	PUNCT
brj-23138	190	7	”	"	PUNCT
brj-23138	190	8	bioresources	bioresource	NOUN
brj-23138	190	9	19(2	19(2	NUM
brj-23138	190	10	)	)	PUNCT
brj-23138	190	11	,	,	PUNCT
brj-23138	190	12	3597	3597	NUM
brj-23138	190	13	-	-	SYM
brj-23138	190	14	3613	3613	NUM
brj-23138	190	15	.	.	PUNCT
brj-23138	191	1	3606	3606	NUM
brj-23138	191	2	results	result	NOUN
brj-23138	191	3	of	of	ADP
brj-23138	191	4	pca	pca	NOUN
brj-23138	191	5	figure	figure	NOUN
brj-23138	191	6	3	3	NUM
brj-23138	191	7	demonstrates	demonstrate	VERB
brj-23138	191	8	that	that	SCONJ
brj-23138	191	9	the	the	DET
brj-23138	191	10	responses	response	NOUN
brj-23138	191	11	of	of	ADP
brj-23138	191	12	the	the	DET
brj-23138	191	13	sensor	sensor	NOUN
brj-23138	191	14	elements	element	NOUN
brj-23138	191	15	between	between	ADP
brj-23138	191	16	adjacent	adjacent	ADJ
brj-23138	191	17	aerobic	aerobic	ADJ
brj-23138	191	18	exposures	exposure	NOUN
brj-23138	191	19	were	be	AUX
brj-23138	191	20	relatively	relatively	ADV
brj-23138	191	21	similar	similar	ADJ
brj-23138	191	22	,	,	PUNCT
brj-23138	191	23	which	which	PRON
brj-23138	191	24	could	could	AUX
brj-23138	191	25	be	be	AUX
brj-23138	191	26	attributed	attribute	VERB
brj-23138	191	27	to	to	ADP
brj-23138	191	28	the	the	DET
brj-23138	191	29	cross	cross	NOUN
brj-23138	191	30	-	-	NOUN
brj-23138	191	31	response	response	NOUN
brj-23138	191	32	of	of	ADP
brj-23138	191	33	some	some	PRON
brj-23138	191	34	of	of	ADP
brj-23138	191	35	the	the	DET
brj-23138	191	36	sensor	sensor	NOUN
brj-23138	191	37	elements	element	NOUN
brj-23138	191	38	to	to	ADP
brj-23138	191	39	the	the	DET
brj-23138	191	40	same	same	ADJ
brj-23138	191	41	vocs	vocs	NOUN
brj-23138	191	42	or	or	CCONJ
brj-23138	191	43	the	the	DET
brj-23138	191	44	same	same	ADJ
brj-23138	191	45	response	response	NOUN
brj-23138	191	46	results	result	NOUN
brj-23138	191	47	for	for	ADP
brj-23138	191	48	different	different	ADJ
brj-23138	191	49	vocs	vocs	PROPN
brj-23138	191	50	.	.	PUNCT
brj-23138	192	1	in	in	ADP
brj-23138	192	2	addition	addition	NOUN
brj-23138	192	3	,	,	PUNCT
brj-23138	192	4	this	this	DET
brj-23138	192	5	study	study	NOUN
brj-23138	192	6	selected	select	VERB
brj-23138	192	7	three	three	NUM
brj-23138	192	8	color	color	NOUN
brj-23138	192	9	space	space	NOUN
brj-23138	192	10	color	color	NOUN
brj-23138	192	11	feature	feature	NOUN
brj-23138	192	12	differences	difference	NOUN
brj-23138	192	13	as	as	ADP
brj-23138	192	14	odor	odor	NOUN
brj-23138	192	15	fingerprint	fingerprint	NOUN
brj-23138	192	16	information	information	NOUN
brj-23138	192	17	,	,	PUNCT
brj-23138	192	18	and	and	CCONJ
brj-23138	192	19	the	the	DET
brj-23138	192	20	feature	feature	NOUN
brj-23138	192	21	difference	difference	NOUN
brj-23138	192	22	images	image	NOUN
brj-23138	192	23	varied	varied	ADJ
brj-23138	192	24	in	in	ADP
brj-23138	192	25	different	different	ADJ
brj-23138	192	26	color	color	NOUN
brj-23138	192	27	spaces	space	NOUN
brj-23138	192	28	.	.	PUNCT
brj-23138	193	1	all	all	DET
brj-23138	193	2	the	the	DET
brj-23138	193	3	situations	situation	NOUN
brj-23138	193	4	mentioned	mention	VERB
brj-23138	193	5	above	above	ADV
brj-23138	193	6	may	may	AUX
brj-23138	193	7	lead	lead	VERB
brj-23138	193	8	to	to	ADP
brj-23138	193	9	the	the	DET
brj-23138	193	10	redundancy	redundancy	NOUN
brj-23138	193	11	of	of	ADP
brj-23138	193	12	information	information	NOUN
brj-23138	193	13	between	between	ADP
brj-23138	193	14	the	the	DET
brj-23138	193	15	variables	variable	NOUN
brj-23138	193	16	extracted	extract	VERB
brj-23138	193	17	from	from	ADP
brj-23138	193	18	the	the	DET
brj-23138	193	19	olfactory	olfactory	ADJ
brj-23138	193	20	sensors	sensor	NOUN
brj-23138	193	21	.	.	PUNCT
brj-23138	194	1	thus	thus	ADV
brj-23138	194	2	,	,	PUNCT
brj-23138	194	3	pca	pca	PROPN
brj-23138	194	4	was	be	AUX
brj-23138	194	5	used	use	VERB
brj-23138	194	6	to	to	PART
brj-23138	194	7	extract	extract	VERB
brj-23138	194	8	the	the	DET
brj-23138	194	9	dominant	dominant	ADJ
brj-23138	194	10	feature	feature	NOUN
brj-23138	194	11	variables	variable	NOUN
brj-23138	194	12	from	from	ADP
brj-23138	194	13	the	the	DET
brj-23138	194	14	108	108	NUM
brj-23138	194	15	variables	variable	NOUN
brj-23138	194	16	.	.	PUNCT
brj-23138	195	1	figure	figure	VERB
brj-23138	195	2	4	4	NUM
brj-23138	195	3	depicts	depict	VERB
brj-23138	195	4	the	the	DET
brj-23138	195	5	cumulative	cumulative	ADJ
brj-23138	195	6	variance	variance	NOUN
brj-23138	195	7	contribution	contribution	NOUN
brj-23138	195	8	of	of	ADP
brj-23138	195	9	the	the	DET
brj-23138	195	10	top	top	ADJ
brj-23138	195	11	22	22	NUM
brj-23138	195	12	pcs	pc	NOUN
brj-23138	195	13	obtained	obtain	VERB
brj-23138	195	14	after	after	ADP
brj-23138	195	15	pca	pca	NOUN
brj-23138	195	16	processing	processing	NOUN
brj-23138	195	17	of	of	ADP
brj-23138	195	18	sensor	sensor	NOUN
brj-23138	195	19	data	datum	NOUN
brj-23138	195	20	.	.	PUNCT
brj-23138	196	1	the	the	DET
brj-23138	196	2	figure	figure	NOUN
brj-23138	196	3	demonstrates	demonstrate	VERB
brj-23138	196	4	that	that	SCONJ
brj-23138	196	5	the	the	DET
brj-23138	196	6	first	first	ADJ
brj-23138	196	7	three	three	NUM
brj-23138	196	8	principal	principal	ADJ
brj-23138	196	9	components	component	NOUN
brj-23138	196	10	contributed	contribute	VERB
brj-23138	196	11	to	to	ADP
brj-23138	196	12	the	the	DET
brj-23138	196	13	original	original	ADJ
brj-23138	196	14	feature	feature	NOUN
brj-23138	196	15	data	datum	NOUN
brj-23138	196	16	of	of	ADP
brj-23138	196	17	20.5	20.5	NUM
brj-23138	196	18	%	%	NOUN
brj-23138	196	19	,	,	PUNCT
brj-23138	196	20	10.8	10.8	NUM
brj-23138	196	21	%	%	NOUN
brj-23138	196	22	and	and	CCONJ
brj-23138	196	23	9.5	9.5	NUM
brj-23138	196	24	%	%	NOUN
brj-23138	196	25	,	,	PUNCT
brj-23138	196	26	respectively	respectively	ADV
brj-23138	196	27	.	.	PUNCT
brj-23138	197	1	moreover	moreover	ADV
brj-23138	197	2	,	,	PUNCT
brj-23138	197	3	the	the	DET
brj-23138	197	4	first	first	ADJ
brj-23138	197	5	22	22	NUM
brj-23138	197	6	principal	principal	ADJ
brj-23138	197	7	components	component	NOUN
brj-23138	197	8	contributed	contribute	VERB
brj-23138	197	9	to	to	ADP
brj-23138	197	10	a	a	DET
brj-23138	197	11	cumulative	cumulative	ADJ
brj-23138	197	12	variance	variance	NOUN
brj-23138	197	13	contribution	contribution	NOUN
brj-23138	197	14	sum	sum	NOUN
brj-23138	197	15	of	of	ADP
brj-23138	197	16	90.01	90.01	NUM
brj-23138	197	17	%	%	NOUN
brj-23138	197	18	,	,	PUNCT
brj-23138	197	19	far	far	ADV
brj-23138	197	20	exceeding	exceed	VERB
brj-23138	197	21	the	the	DET
brj-23138	197	22	standard	standard	NOUN
brj-23138	197	23	of	of	ADP
brj-23138	197	24	85	85	NUM
brj-23138	197	25	%	%	NOUN
brj-23138	197	26	,	,	PUNCT
brj-23138	197	27	which	which	PRON
brj-23138	197	28	explains	explain	VERB
brj-23138	197	29	most	most	ADJ
brj-23138	197	30	of	of	ADP
brj-23138	197	31	the	the	DET
brj-23138	197	32	valid	valid	ADJ
brj-23138	197	33	information	information	NOUN
brj-23138	197	34	in	in	ADP
brj-23138	197	35	the	the	DET
brj-23138	197	36	original	original	ADJ
brj-23138	197	37	feature	feature	NOUN
brj-23138	197	38	data	datum	NOUN
brj-23138	197	39	.	.	PUNCT
brj-23138	198	1	pca	pca	PROPN
brj-23138	198	2	produced	produce	VERB
brj-23138	198	3	satisfactory	satisfactory	ADJ
brj-23138	198	4	results	result	NOUN
brj-23138	198	5	in	in	ADP
brj-23138	198	6	data	datum	NOUN
brj-23138	198	7	reconstruction	reconstruction	NOUN
brj-23138	198	8	and	and	CCONJ
brj-23138	198	9	extraction	extraction	NOUN
brj-23138	198	10	of	of	ADP
brj-23138	198	11	valuable	valuable	ADJ
brj-23138	198	12	information	information	NOUN
brj-23138	198	13	.	.	PUNCT
brj-23138	199	1	however	however	ADV
brj-23138	199	2	,	,	PUNCT
brj-23138	199	3	from	from	ADP
brj-23138	199	4	fig	fig	NOUN
brj-23138	199	5	.	.	PUNCT
brj-23138	199	6	5	5	NUM
brj-23138	199	7	,	,	PUNCT
brj-23138	199	8	given	give	VERB
brj-23138	199	9	the	the	DET
brj-23138	199	10	insufficient	insufficient	ADJ
brj-23138	199	11	variance	variance	NOUN
brj-23138	199	12	contribution	contribution	NOUN
brj-23138	199	13	and	and	CCONJ
brj-23138	199	14	overlap	overlap	NOUN
brj-23138	199	15	of	of	ADP
brj-23138	199	16	the	the	DET
brj-23138	199	17	principal	principal	ADJ
brj-23138	199	18	components	component	NOUN
brj-23138	199	19	,	,	PUNCT
brj-23138	199	20	the	the	DET
brj-23138	199	21	top	top	ADJ
brj-23138	199	22	three	three	NUM
brj-23138	199	23	principal	principal	ADJ
brj-23138	199	24	components	component	NOUN
brj-23138	199	25	were	be	AUX
brj-23138	199	26	not	not	PART
brj-23138	199	27	appropriate	appropriate	ADJ
brj-23138	199	28	for	for	ADP
brj-23138	199	29	recognizing	recognize	VERB
brj-23138	199	30	the	the	DET
brj-23138	199	31	different	different	ADJ
brj-23138	199	32	qualities	quality	NOUN
brj-23138	199	33	of	of	ADP
brj-23138	199	34	maize	maize	NOUN
brj-23138	199	35	silage	silage	NOUN
brj-23138	199	36	.	.	PUNCT
brj-23138	200	1	therefore	therefore	ADV
brj-23138	200	2	,	,	PUNCT
brj-23138	200	3	the	the	DET
brj-23138	200	4	top	top	ADJ
brj-23138	200	5	22	22	NUM
brj-23138	200	6	pcs	pc	NOUN
brj-23138	200	7	were	be	AUX
brj-23138	200	8	selected	select	VERB
brj-23138	200	9	as	as	ADP
brj-23138	200	10	input	input	NOUN
brj-23138	200	11	feature	feature	NOUN
brj-23138	200	12	variables	variable	NOUN
brj-23138	200	13	.	.	PUNCT
brj-23138	201	1	on	on	ADP
brj-23138	201	2	that	that	DET
brj-23138	201	3	basis	basis	NOUN
brj-23138	201	4	,	,	PUNCT
brj-23138	201	5	three	three	NUM
brj-23138	201	6	nonlinear	nonlinear	ADJ
brj-23138	201	7	elm	elm	PROPN
brj-23138	201	8	,	,	PUNCT
brj-23138	201	9	svm	svm	PROPN
brj-23138	201	10	,	,	PUNCT
brj-23138	201	11	and	and	CCONJ
brj-23138	201	12	rf	rf	NOUN
brj-23138	201	13	qualitative	qualitative	ADJ
brj-23138	201	14	discriminant	discriminant	NOUN
brj-23138	201	15	models	model	NOUN
brj-23138	201	16	were	be	AUX
brj-23138	201	17	developed	develop	VERB
brj-23138	201	18	for	for	ADP
brj-23138	201	19	qualitative	qualitative	ADJ
brj-23138	201	20	discrimination	discrimination	NOUN
brj-23138	201	21	of	of	ADP
brj-23138	201	22	maize	maize	NOUN
brj-23138	201	23	silage	silage	NOUN
brj-23138	201	24	.	.	PUNCT
brj-23138	202	1	fig	fig	NOUN
brj-23138	202	2	.	.	PUNCT
brj-23138	203	1	4	4	X
brj-23138	203	2	.	.	X
brj-23138	203	3	the	the	DET
brj-23138	203	4	cumulative	cumulative	ADJ
brj-23138	203	5	variance	variance	NOUN
brj-23138	203	6	contribution	contribution	NOUN
brj-23138	203	7	of	of	ADP
brj-23138	203	8	the	the	DET
brj-23138	203	9	top	top	ADJ
brj-23138	203	10	22	22	NUM
brj-23138	203	11	pcs	pc	NOUN
brj-23138	203	12	obtained	obtain	VERB
brj-23138	203	13	by	by	ADP
brj-23138	203	14	pca	pca	NOUN
brj-23138	203	15	processing	processing	NOUN
brj-23138	203	16	of	of	ADP
brj-23138	203	17	sensor	sensor	NOUN
brj-23138	203	18	data	datum	NOUN
brj-23138	203	19	fig	fig	NOUN
brj-23138	203	20	.	.	PUNCT
brj-23138	204	1	5	5	NUM
brj-23138	204	2	.	.	X
brj-23138	204	3	three	three	NUM
brj-23138	204	4	-	-	PUNCT
brj-23138	204	5	dimensional	dimensional	ADJ
brj-23138	204	6	principal	principal	ADJ
brj-23138	204	7	component	component	NOUN
brj-23138	204	8	scores	score	NOUN
brj-23138	204	9	of	of	ADP
brj-23138	204	10	maize	maize	NOUN
brj-23138	204	11	silage	silage	NOUN
brj-23138	204	12	samples	sample	NOUN
brj-23138	204	13	with	with	ADP
brj-23138	204	14	different	different	ADJ
brj-23138	204	15	grades	grade	NOUN
brj-23138	204	16	results	result	NOUN
brj-23138	204	17	of	of	ADP
brj-23138	204	18	elm	elm	NOUN
brj-23138	204	19	model	model	NOUN
brj-23138	204	20	because	because	SCONJ
brj-23138	204	21	the	the	DET
brj-23138	204	22	connection	connection	NOUN
brj-23138	204	23	weights	weight	VERB
brj-23138	204	24	ω	ω	PROPN
brj-23138	204	25	and	and	CCONJ
brj-23138	204	26	thresholds	threshold	VERB
brj-23138	204	27	β1	β1	PROPN
brj-23138	204	28	from	from	ADP
brj-23138	204	29	the	the	DET
brj-23138	204	30	input	input	NOUN
brj-23138	204	31	layer	layer	NOUN
brj-23138	204	32	to	to	ADP
brj-23138	204	33	the	the	DET
brj-23138	204	34	hidden	hide	VERB
brj-23138	204	35	layer	layer	NOUN
brj-23138	204	36	are	be	AUX
brj-23138	204	37	generated	generate	VERB
brj-23138	204	38	randomly	randomly	ADV
brj-23138	204	39	,	,	PUNCT
brj-23138	204	40	the	the	DET
brj-23138	204	41	output	output	NOUN
brj-23138	204	42	matrix	matrix	NOUN
brj-23138	204	43	of	of	ADP
brj-23138	204	44	the	the	DET
brj-23138	204	45	hidden	hide	VERB
brj-23138	204	46	layer	layer	NOUN
brj-23138	204	47	,	,	PUNCT
brj-23138	204	48	k	k	NOUN
brj-23138	204	49	,	,	PUNCT
brj-23138	204	50	is	be	AUX
brj-23138	204	51	required	require	VERB
brj-23138	204	52	to	to	PART
brj-23138	204	53	be	be	AUX
brj-23138	204	54	set	set	VERB
brj-23138	204	55	in	in	ADP
brj-23138	204	56	advance	advance	NOUN
brj-23138	204	57	.	.	PUNCT
brj-23138	205	1	thus	thus	ADV
brj-23138	205	2	,	,	PUNCT
brj-23138	205	3	k	k	PROPN
brj-23138	205	4	dictates	dictate	VERB
brj-23138	205	5	the	the	DET
brj-23138	205	6	complexity	complexity	NOUN
brj-23138	205	7	of	of	ADP
brj-23138	205	8	the	the	DET
brj-23138	205	9	elm	elm	PROPN
brj-23138	205	10	model	model	NOUN
brj-23138	205	11	.	.	PUNCT
brj-23138	206	1	reasonable	reasonable	ADJ
brj-23138	206	2	k	k	PROPN
brj-23138	206	3	can	can	AUX
brj-23138	206	4	not	not	PART
brj-23138	206	5	only	only	ADV
brj-23138	206	6	maintain	maintain	VERB
brj-23138	206	7	the	the	DET
brj-23138	206	8	model	model	NOUN
brj-23138	206	9	learning	learning	NOUN
brj-23138	206	10	ability	ability	NOUN
brj-23138	206	11	but	but	CCONJ
brj-23138	206	12	also	also	ADV
brj-23138	206	13	avoid	avoid	VERB
brj-23138	206	14	overfitting	overfitte	VERB
brj-23138	206	15	and	and	CCONJ
brj-23138	206	16	improving	improve	VERB
brj-23138	206	17	the	the	DET
brj-23138	206	18	generalization	generalization	NOUN
brj-23138	206	19	performance	performance	NOUN
brj-23138	206	20	.	.	PUNCT
brj-23138	207	1	figure	figure	NOUN
brj-23138	207	2	6	6	NUM
brj-23138	207	3	depicts	depict	VERB
brj-23138	207	4	the	the	DET
brj-23138	207	5	discrimination	discrimination	NOUN
brj-23138	207	6	rating	rating	NOUN
brj-23138	207	7	of	of	ADP
brj-23138	207	8	the	the	DET
brj-23138	207	9	different	different	ADJ
brj-23138	207	10	elm	elm	NOUN
brj-23138	207	11	classification	classification	NOUN
brj-23138	207	12	models	model	NOUN
brj-23138	207	13	with	with	ADP
brj-23138	207	14	different	different	ADJ
brj-23138	207	15	principal	principal	ADJ
brj-23138	207	16	component	component	NOUN
brj-23138	207	17	pcs	pc	NOUN
brj-23138	207	18	and	and	CCONJ
brj-23138	207	19	k	k	PROPN
brj-23138	207	20	values	value	NOUN
brj-23138	207	21	.	.	PUNCT
brj-23138	208	1	with	with	ADP
brj-23138	208	2	the	the	DET
brj-23138	208	3	increase	increase	NOUN
brj-23138	208	4	of	of	ADP
brj-23138	208	5	the	the	DET
brj-23138	208	6	k	k	PROPN
brj-23138	208	7	and	and	CCONJ
brj-23138	208	8	pcs	pc	NOUN
brj-23138	208	9	,	,	PUNCT
brj-23138	208	10	the	the	DET
brj-23138	208	11	discrimination	discrimination	NOUN
brj-23138	208	12	rating	rating	NOUN
brj-23138	208	13	of	of	ADP
brj-23138	208	14	the	the	DET
brj-23138	208	15	elm	elm	NOUN
brj-23138	208	16	dramatically	dramatically	ADV
brj-23138	208	17	improved	improve	VERB
brj-23138	208	18	,	,	PUNCT
brj-23138	208	19	then	then	ADV
brj-23138	208	20	stabilized	stabilize	VERB
brj-23138	208	21	range	range	NOUN
brj-23138	208	22	from	from	ADP
brj-23138	208	23	88	88	NUM
brj-23138	208	24	%	%	NOUN
brj-23138	208	25	to	to	PART
brj-23138	208	26	100	100	NUM
brj-23138	208	27	%	%	NOUN
brj-23138	208	28	.	.	PUNCT
brj-23138	209	1	however	however	ADV
brj-23138	209	2	,	,	PUNCT
brj-23138	209	3	the	the	DET
brj-23138	209	4	model	model	NOUN
brj-23138	209	5	discriminant	discriminant	NOUN
brj-23138	209	6	gradually	gradually	ADV
brj-23138	209	7	decreased	decrease	VERB
brj-23138	209	8	as	as	SCONJ
brj-23138	209	9	the	the	DET
brj-23138	209	10	k	k	NOUN
brj-23138	209	11	-	-	PUNCT
brj-23138	209	12	value	value	NOUN
brj-23138	209	13	and	and	CCONJ
brj-23138	209	14	principal	principal	ADJ
brj-23138	209	15	component	component	NOUN
brj-23138	209	16	pcs	pc	NOUN
brj-23138	209	17	increased	increase	VERB
brj-23138	209	18	.	.	PUNCT
brj-23138	210	1	this	this	PRON
brj-23138	210	2	is	be	AUX
brj-23138	210	3	attributed	attribute	VERB
brj-23138	210	4	to	to	ADP
brj-23138	210	5	the	the	DET
brj-23138	210	6	overfitting	overfitting	NOUN
brj-23138	210	7	of	of	ADP
brj-23138	210	8	the	the	DET
brj-23138	210	9	training	training	NOUN
brj-23138	210	10	data	datum	NOUN
brj-23138	210	11	as	as	ADP
brj-23138	210	12	a	a	DET
brj-23138	210	13	result	result	NOUN
brj-23138	210	14	of	of	ADP
brj-23138	210	15	increasing	increase	VERB
brj-23138	210	16	the	the	DET
brj-23138	210	17	number	number	NOUN
brj-23138	210	18	of	of	ADP
brj-23138	210	19	k	k	PROPN
brj-23138	210	20	values	value	NOUN
brj-23138	210	21	and	and	CCONJ
brj-23138	210	22	pcs	pc	NOUN
brj-23138	210	23	,	,	PUNCT
brj-23138	210	24	peer	peer	NOUN
brj-23138	210	25	-	-	PUNCT
brj-23138	210	26	reviewed	review	VERB
brj-23138	210	27	article	article	NOUN
brj-23138	210	28	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	210	29	tao	tao	PROPN
brj-23138	210	30	et	et	PROPN
brj-23138	210	31	al	al	PROPN
brj-23138	210	32	.	.	PROPN
brj-23138	211	1	(	(	PUNCT
brj-23138	211	2	2024	2024	NUM
brj-23138	211	3	)	)	PUNCT
brj-23138	211	4	.	.	PUNCT
brj-23138	212	1	“	"	PUNCT
brj-23138	212	2	maize	maize	VERB
brj-23138	212	3	silage	silage	NOUN
brj-23138	212	4	quality	quality	NOUN
brj-23138	212	5	testing	testing	NOUN
brj-23138	212	6	,	,	PUNCT
brj-23138	212	7	”	"	PUNCT
brj-23138	212	8	bioresources	bioresource	NOUN
brj-23138	212	9	19(2	19(2	NUM
brj-23138	212	10	)	)	PUNCT
brj-23138	212	11	,	,	PUNCT
brj-23138	212	12	3597	3597	NUM
brj-23138	212	13	-	-	SYM
brj-23138	212	14	3613	3613	NUM
brj-23138	212	15	.	.	PUNCT
brj-23138	213	1	3607	3607	NUM
brj-23138	213	2	which	which	PRON
brj-23138	213	3	makes	make	VERB
brj-23138	213	4	the	the	DET
brj-23138	213	5	model	model	NOUN
brj-23138	213	6	more	more	ADV
brj-23138	213	7	complicated	complicated	ADJ
brj-23138	213	8	.	.	PUNCT
brj-23138	214	1	the	the	DET
brj-23138	214	2	model	model	NOUN
brj-23138	214	3	was	be	AUX
brj-23138	214	4	over	over	ADV
brj-23138	214	5	-	-	PUNCT
brj-23138	214	6	adapted	adapt	VERB
brj-23138	214	7	to	to	ADP
brj-23138	214	8	the	the	DET
brj-23138	214	9	noise	noise	NOUN
brj-23138	214	10	and	and	CCONJ
brj-23138	214	11	details	detail	NOUN
brj-23138	214	12	in	in	ADP
brj-23138	214	13	the	the	DET
brj-23138	214	14	training	training	NOUN
brj-23138	214	15	set	set	NOUN
brj-23138	214	16	,	,	PUNCT
brj-23138	214	17	all	all	PRON
brj-23138	214	18	of	of	ADP
brj-23138	214	19	which	which	PRON
brj-23138	214	20	can	can	AUX
brj-23138	214	21	not	not	PART
brj-23138	214	22	be	be	AUX
brj-23138	214	23	generalized	generalize	VERB
brj-23138	214	24	to	to	ADP
brj-23138	214	25	novel	novel	ADJ
brj-23138	214	26	data	datum	NOUN
brj-23138	214	27	,	,	PUNCT
brj-23138	214	28	which	which	PRON
brj-23138	214	29	leads	lead	VERB
brj-23138	214	30	to	to	ADP
brj-23138	214	31	performance	performance	NOUN
brj-23138	214	32	degradation	degradation	NOUN
brj-23138	214	33	on	on	ADP
brj-23138	214	34	the	the	DET
brj-23138	214	35	test	test	NOUN
brj-23138	214	36	set	set	NOUN
brj-23138	214	37	.	.	PUNCT
brj-23138	215	1	according	accord	VERB
brj-23138	215	2	to	to	ADP
brj-23138	215	3	the	the	DET
brj-23138	215	4	results	result	NOUN
brj-23138	215	5	of	of	ADP
brj-23138	215	6	the	the	DET
brj-23138	215	7	five	five	NUM
brj-23138	215	8	-	-	ADJ
brj-23138	215	9	fold	fold	ADJ
brj-23138	215	10	cross	cross	NOUN
brj-23138	215	11	-	-	ADJ
brj-23138	215	12	validation	validation	ADJ
brj-23138	215	13	and	and	CCONJ
brj-23138	215	14	grid	grid	NOUN
brj-23138	215	15	search	search	NOUN
brj-23138	215	16	,	,	PUNCT
brj-23138	215	17	there	there	PRON
brj-23138	215	18	were	be	VERB
brj-23138	215	19	12	12	NUM
brj-23138	215	20	parameter	parameter	NOUN
brj-23138	215	21	combinations	combination	NOUN
brj-23138	215	22	with	with	ADP
brj-23138	215	23	a	a	DET
brj-23138	215	24	100	100	NUM
brj-23138	215	25	%	%	NOUN
brj-23138	215	26	discrimination	discrimination	NOUN
brj-23138	215	27	rating	rating	NOUN
brj-23138	215	28	,	,	PUNCT
brj-23138	215	29	in	in	ADP
brj-23138	215	30	which	which	PRON
brj-23138	215	31	the	the	DET
brj-23138	215	32	k	k	NOUN
brj-23138	215	33	are	be	AUX
brj-23138	215	34	all	all	ADV
brj-23138	215	35	in	in	ADP
brj-23138	215	36	the	the	DET
brj-23138	215	37	range	range	NOUN
brj-23138	215	38	of	of	ADP
brj-23138	215	39	10	10	NUM
brj-23138	215	40	to	to	PART
brj-23138	215	41	50	50	NUM
brj-23138	215	42	.	.	PUNCT
brj-23138	216	1	among	among	ADP
brj-23138	216	2	them	they	PRON
brj-23138	216	3	,	,	PUNCT
brj-23138	216	4	four	four	NUM
brj-23138	216	5	groups	group	NOUN
brj-23138	216	6	had	have	VERB
brj-23138	216	7	a	a	DET
brj-23138	216	8	k	k	NOUN
brj-23138	216	9	value	value	NOUN
brj-23138	216	10	of	of	ADP
brj-23138	216	11	20	20	NUM
brj-23138	216	12	,	,	PUNCT
brj-23138	216	13	at	at	ADP
brj-23138	216	14	which	which	DET
brj-23138	216	15	point	point	NOUN
brj-23138	216	16	the	the	DET
brj-23138	216	17	model	model	NOUN
brj-23138	216	18	discrimination	discrimination	NOUN
brj-23138	216	19	performance	performance	NOUN
brj-23138	216	20	was	be	AUX
brj-23138	216	21	much	much	ADV
brj-23138	216	22	better	well	ADJ
brj-23138	216	23	than	than	ADP
brj-23138	216	24	the	the	DET
brj-23138	216	25	others	other	NOUN
brj-23138	216	26	.	.	PUNCT
brj-23138	217	1	when	when	SCONJ
brj-23138	217	2	k	k	PROPN
brj-23138	217	3	=	=	SYM
brj-23138	217	4	20	20	NUM
brj-23138	217	5	and	and	CCONJ
brj-23138	217	6	pcs	pc	NOUN
brj-23138	217	7	=	=	SYM
brj-23138	217	8	10	10	NUM
brj-23138	217	9	,	,	PUNCT
brj-23138	217	10	the	the	DET
brj-23138	217	11	elm	elm	NOUN
brj-23138	217	12	model	model	NOUN
brj-23138	217	13	gave	give	VERB
brj-23138	217	14	the	the	DET
brj-23138	217	15	best	good	ADJ
brj-23138	217	16	results	result	NOUN
brj-23138	217	17	for	for	ADP
brj-23138	217	18	prediction	prediction	NOUN
brj-23138	217	19	sets	set	NOUN
brj-23138	217	20	.	.	PUNCT
brj-23138	218	1	the	the	DET
brj-23138	218	2	optimized	optimize	VERB
brj-23138	218	3	model	model	NOUN
brj-23138	218	4	achieved	achieve	VERB
brj-23138	218	5	an	an	DET
brj-23138	218	6	identification	identification	NOUN
brj-23138	218	7	percentage	percentage	NOUN
brj-23138	218	8	of	of	ADP
brj-23138	218	9	94.44	94.44	NUM
brj-23138	218	10	%	%	NOUN
brj-23138	218	11	in	in	ADP
brj-23138	218	12	the	the	DET
brj-23138	218	13	prediction	prediction	NOUN
brj-23138	218	14	set	set	NOUN
brj-23138	218	15	,	,	PUNCT
brj-23138	218	16	with	with	ADP
brj-23138	218	17	2	2	NUM
brj-23138	218	18	of	of	ADP
brj-23138	218	19	the	the	DET
brj-23138	218	20	36	36	NUM
brj-23138	218	21	samples	sample	NOUN
brj-23138	218	22	misclassified	misclassifie	VERB
brj-23138	218	23	.	.	PUNCT
brj-23138	219	1	the	the	DET
brj-23138	219	2	detailed	detailed	ADJ
brj-23138	219	3	classification	classification	NOUN
brj-23138	219	4	information	information	NOUN
brj-23138	219	5	of	of	ADP
brj-23138	219	6	the	the	DET
brj-23138	219	7	prediction	prediction	NOUN
brj-23138	219	8	set	set	NOUN
brj-23138	219	9	is	be	AUX
brj-23138	219	10	further	far	ADV
brj-23138	219	11	exhibited	exhibit	VERB
brj-23138	219	12	in	in	ADP
brj-23138	219	13	fig	fig	NOUN
brj-23138	219	14	.	.	PUNCT
brj-23138	220	1	8(a	8(a	NUM
brj-23138	220	2	)	)	PUNCT
brj-23138	220	3	.	.	PUNCT
brj-23138	221	1	the	the	DET
brj-23138	221	2	model	model	NOUN
brj-23138	221	3	correctly	correctly	ADV
brj-23138	221	4	classified	classify	VERB
brj-23138	221	5	91.67	91.67	NUM
brj-23138	221	6	%	%	NOUN
brj-23138	221	7	,	,	PUNCT
brj-23138	221	8	100	100	NUM
brj-23138	221	9	%	%	NOUN
brj-23138	221	10	,	,	PUNCT
brj-23138	221	11	and	and	CCONJ
brj-23138	221	12	93.33	93.33	NUM
brj-23138	221	13	%	%	NOUN
brj-23138	221	14	samples	sample	NOUN
brj-23138	221	15	into	into	ADP
brj-23138	221	16	corresponding	correspond	VERB
brj-23138	221	17	categories	category	NOUN
brj-23138	221	18	,	,	PUNCT
brj-23138	221	19	respectively	respectively	ADV
brj-23138	221	20	.	.	PUNCT
brj-23138	222	1	herein	herein	NOUN
brj-23138	222	2	,	,	PUNCT
brj-23138	222	3	there	there	PRON
brj-23138	222	4	were	be	VERB
brj-23138	222	5	fresh	fresh	ADJ
brj-23138	222	6	and	and	CCONJ
brj-23138	222	7	deteriorated	deteriorate	VERB
brj-23138	222	8	samples	sample	NOUN
brj-23138	222	9	,	,	PUNCT
brj-23138	222	10	each	each	PRON
brj-23138	222	11	misidentified	misidentifie	VERB
brj-23138	222	12	as	as	SCONJ
brj-23138	222	13	medium	medium	ADJ
brj-23138	222	14	and	and	CCONJ
brj-23138	222	15	misclassified	misclassified	ADJ
brj-23138	222	16	samples	sample	NOUN
brj-23138	222	17	were	be	AUX
brj-23138	222	18	placed	place	VERB
brj-23138	222	19	in	in	ADP
brj-23138	222	20	the	the	DET
brj-23138	222	21	neighboring	neighboring	NOUN
brj-23138	222	22	grades	grade	NOUN
brj-23138	222	23	.	.	PUNCT
brj-23138	223	1	thus	thus	ADV
brj-23138	223	2	,	,	PUNCT
brj-23138	223	3	elm	elm	PROPN
brj-23138	223	4	exhibited	exhibit	VERB
brj-23138	223	5	a	a	DET
brj-23138	223	6	good	good	ADJ
brj-23138	223	7	ability	ability	NOUN
brj-23138	223	8	to	to	PART
brj-23138	223	9	discriminate	discriminate	VERB
brj-23138	223	10	the	the	DET
brj-23138	223	11	quality	quality	NOUN
brj-23138	223	12	of	of	ADP
brj-23138	223	13	maize	maize	NOUN
brj-23138	223	14	silage	silage	NOUN
brj-23138	223	15	.	.	PUNCT
brj-23138	224	1	table	table	NOUN
brj-23138	224	2	2	2	NUM
brj-23138	224	3	.	.	PUNCT
brj-23138	224	4	discrimination	discrimination	NOUN
brj-23138	224	5	rates	rate	NOUN
brj-23138	224	6	of	of	ADP
brj-23138	224	7	svm	svm	ADJ
brj-23138	224	8	models	model	NOUN
brj-23138	224	9	with	with	ADP
brj-23138	224	10	different	different	ADJ
brj-23138	224	11	pcs	pc	NOUN
brj-23138	224	12	and	and	CCONJ
brj-23138	224	13	best	good	ADJ
brj-23138	224	14	parameter	parameter	NOUN
brj-23138	224	15	c	c	NOUN
brj-23138	224	16	,	,	PUNCT
brj-23138	224	17	g	g	PROPN
brj-23138	224	18	pcs	pc	NOUN
brj-23138	224	19	parameter	parameter	NOUN
brj-23138	224	20	optimization	optimization	NOUN
brj-23138	224	21	discrimination	discrimination	NOUN
brj-23138	224	22	rate	rate	NOUN
brj-23138	224	23	(	(	PUNCT
brj-23138	224	24	%	%	INTJ
brj-23138	224	25	)	)	PUNCT
brj-23138	225	1	c	c	NOUN
brj-23138	225	2	g	g	NOUN
brj-23138	225	3	training	training	NOUN
brj-23138	225	4	set	set	NOUN
brj-23138	225	5	prediction	prediction	NOUN
brj-23138	225	6	set	set	NOUN
brj-23138	225	7	(	(	PUNCT
brj-23138	225	8	%	%	NOUN
brj-23138	225	9	)	)	PUNCT
brj-23138	225	10	1	1	NUM
brj-23138	225	11	67.5926	67.5926	NUM
brj-23138	225	12	181.0293	181.0293	NUM
brj-23138	225	13	64.81	64.81	NUM
brj-23138	225	14	66.6667	66.6667	NUM
brj-23138	225	15	2	2	NUM
brj-23138	225	16	8.7220	8.7220	NUM
brj-23138	225	17	0.3536	0.3536	NUM
brj-23138	225	18	77.78	77.78	NUM
brj-23138	225	19	77.78	77.78	NUM
brj-23138	225	20	3	3	NUM
brj-23138	225	21	0.7171	0.7171	NUM
brj-23138	225	22	0.5000	0.5000	NUM
brj-23138	225	23	97.22	97.22	NUM
brj-23138	225	24	83.33	83.33	NUM
brj-23138	225	25	4	4	NUM
brj-23138	225	26	2.8384	2.8384	NUM
brj-23138	225	27	2.8284	2.8284	NUM
brj-23138	225	28	98.15	98.15	NUM
brj-23138	225	29	88.89	88.89	NUM
brj-23138	225	30	5	5	NUM
brj-23138	225	31	1.0000	1.0000	NUM
brj-23138	225	32	0.7071	0.7071	NUM
brj-23138	225	33	97.22	97.22	NUM
brj-23138	225	34	88.89	88.89	NUM
brj-23138	225	35	6	6	NUM
brj-23138	225	36	8.7220	8.7220	NUM
brj-23138	225	37	0.7071	0.7071	NUM
brj-23138	225	38	97.22	97.22	NUM
brj-23138	225	39	94.44	94.44	NUM
brj-23138	225	40	7	7	NUM
brj-23138	225	41	1.4142	1.4142	NUM
brj-23138	225	42	1.0000	1.0000	NUM
brj-23138	225	43	97.22	97.22	NUM
brj-23138	225	44	91.67	91.67	NUM
brj-23138	225	45	8	8	NUM
brj-23138	225	46	0.3536	0.3536	NUM
brj-23138	225	47	0.5000	0.5000	NUM
brj-23138	225	48	99.07	99.07	NUM
brj-23138	225	49	97.22	97.22	NUM
brj-23138	225	50	9	9	NUM
brj-23138	225	51	0.5000	0.5000	NUM
brj-23138	225	52	0.2500	0.2500	NUM
brj-23138	225	53	99.07	99.07	NUM
brj-23138	225	54	94.44	94.44	NUM
brj-23138	225	55	10	10	NUM
brj-23138	225	56	0.7071	0.7071	NUM
brj-23138	225	57	0.2500	0.2500	NUM
brj-23138	225	58	100.00	100.00	NUM
brj-23138	225	59	100.00	100.00	NUM
brj-23138	225	60	11	11	NUM
brj-23138	225	61	1.4142	1.4142	NUM
brj-23138	225	62	0.0884	0.0884	NUM
brj-23138	225	63	99.07	99.07	NUM
brj-23138	225	64	97.22	97.22	NUM
brj-23138	225	65	12	12	NUM
brj-23138	225	66	2.8384	2.8384	NUM
brj-23138	225	67	0.2500	0.2500	NUM
brj-23138	225	68	100.00	100.00	NUM
brj-23138	225	69	100.00	100.00	NUM
brj-23138	225	70	13	13	NUM
brj-23138	225	71	0.5000	0.5000	NUM
brj-23138	225	72	0.2500	0.2500	NUM
brj-23138	225	73	99.07	99.07	NUM
brj-23138	225	74	97.22	97.22	NUM
brj-23138	225	75	14	14	NUM
brj-23138	225	76	1.0000	1.0000	NUM
brj-23138	225	77	0.2500	0.2500	NUM
brj-23138	225	78	98.15	98.15	NUM
brj-23138	225	79	94.44	94.44	NUM
brj-23138	225	80	15	15	NUM
brj-23138	225	81	1.0000	1.0000	NUM
brj-23138	225	82	0.1250	0.1250	NUM
brj-23138	225	83	99.07	99.07	NUM
brj-23138	225	84	94.44	94.44	NUM
brj-23138	225	85	16	16	NUM
brj-23138	225	86	1.4142	1.4142	NUM
brj-23138	225	87	0.1250	0.1250	NUM
brj-23138	225	88	100.00	100.00	NUM
brj-23138	225	89	97.22	97.22	NUM
brj-23138	225	90	17	17	NUM
brj-23138	225	91	2.0000	2.0000	NUM
brj-23138	225	92	0.0625	0.0625	NUM
brj-23138	225	93	97.22	97.22	NUM
brj-23138	225	94	97.22	97.22	NUM
brj-23138	225	95	18	18	NUM
brj-23138	225	96	1.0000	1.0000	NUM
brj-23138	225	97	0.0442	0.0442	NUM
brj-23138	225	98	99.07	99.07	NUM
brj-23138	225	99	97.22	97.22	NUM
brj-23138	225	100	19	19	NUM
brj-23138	225	101	0.5000	0.5000	NUM
brj-23138	225	102	0.1768	0.1768	NUM
brj-23138	225	103	99.07	99.07	NUM
brj-23138	225	104	100.00	100.00	NUM
brj-23138	225	105	20	20	NUM
brj-23138	225	106	4.0000	4.0000	NUM
brj-23138	225	107	0.1250	0.1250	NUM
brj-23138	225	108	100.00	100.00	NUM
brj-23138	225	109	97.22	97.22	NUM
brj-23138	225	110	21	21	NUM
brj-23138	225	111	2.8384	2.8384	NUM
brj-23138	225	112	0.0884	0.0884	NUM
brj-23138	225	113	100.00	100.00	NUM
brj-23138	225	114	97.22	97.22	NUM
brj-23138	225	115	22	22	NUM
brj-23138	225	116	2.8384	2.8384	NUM
brj-23138	225	117	0.1250	0.1250	NUM
brj-23138	225	118	99.07	99.07	NUM
brj-23138	225	119	94.44	94.44	NUM
brj-23138	225	120	pcs	pc	NOUN
brj-23138	225	121	:	:	PUNCT
brj-23138	225	122	number	number	NOUN
brj-23138	225	123	of	of	ADP
brj-23138	225	124	principal	principal	ADJ
brj-23138	225	125	components	component	NOUN
brj-23138	225	126	;	;	PUNCT
brj-23138	226	1	c	c	X
brj-23138	226	2	:	:	PUNCT
brj-23138	226	3	the	the	DET
brj-23138	226	4	penalty	penalty	NOUN
brj-23138	226	5	coefficient	coefficient	NOUN
brj-23138	226	6	of	of	ADP
brj-23138	226	7	svm	svm	PROPN
brj-23138	226	8	;	;	PUNCT
brj-23138	226	9	g	g	NOUN
brj-23138	226	10	:	:	PUNCT
brj-23138	226	11	kernel	kernel	PROPN
brj-23138	226	12	parameter	parameter	NOUN
brj-23138	226	13	of	of	ADP
brj-23138	226	14	radial	radial	ADJ
brj-23138	226	15	basis	basis	NOUN
brj-23138	226	16	function	function	NOUN
brj-23138	226	17	(	(	PUNCT
brj-23138	226	18	rbf	rbf	PROPN
brj-23138	226	19	)	)	PUNCT
brj-23138	226	20	peer	peer	NOUN
brj-23138	226	21	-	-	PUNCT
brj-23138	226	22	reviewed	review	VERB
brj-23138	226	23	article	article	NOUN
brj-23138	226	24	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	226	25	tao	tao	PROPN
brj-23138	226	26	et	et	PROPN
brj-23138	226	27	al	al	PROPN
brj-23138	226	28	.	.	PROPN
brj-23138	227	1	(	(	PUNCT
brj-23138	227	2	2024	2024	NUM
brj-23138	227	3	)	)	PUNCT
brj-23138	227	4	.	.	PUNCT
brj-23138	228	1	“	"	PUNCT
brj-23138	228	2	maize	maize	VERB
brj-23138	228	3	silage	silage	NOUN
brj-23138	228	4	quality	quality	NOUN
brj-23138	228	5	testing	testing	NOUN
brj-23138	228	6	,	,	PUNCT
brj-23138	228	7	”	"	PUNCT
brj-23138	228	8	bioresources	bioresource	NOUN
brj-23138	228	9	19(2	19(2	NUM
brj-23138	228	10	)	)	PUNCT
brj-23138	228	11	,	,	PUNCT
brj-23138	228	12	3597	3597	NUM
brj-23138	228	13	-	-	SYM
brj-23138	228	14	3613	3613	NUM
brj-23138	228	15	.	.	PUNCT
brj-23138	229	1	3608	3608	NUM
brj-23138	229	2	fig	fig	NOUN
brj-23138	229	3	.	.	PUNCT
brj-23138	230	1	6	6	NUM
brj-23138	230	2	.	.	X
brj-23138	230	3	discrimination	discrimination	NOUN
brj-23138	230	4	rate	rate	NOUN
brj-23138	230	5	of	of	ADP
brj-23138	230	6	elm	elm	NOUN
brj-23138	230	7	models	model	NOUN
brj-23138	230	8	with	with	ADP
brj-23138	230	9	different	different	ADJ
brj-23138	230	10	k	k	PROPN
brj-23138	230	11	values	value	NOUN
brj-23138	230	12	and	and	CCONJ
brj-23138	230	13	pcs	pc	NOUN
brj-23138	230	14	in	in	ADP
brj-23138	230	15	the	the	DET
brj-23138	230	16	training	training	NOUN
brj-23138	230	17	set	set	NOUN
brj-23138	230	18	results	result	NOUN
brj-23138	230	19	of	of	ADP
brj-23138	230	20	svm	svm	ADJ
brj-23138	230	21	model	model	NOUN
brj-23138	230	22	the	the	DET
brj-23138	230	23	parameters	parameter	NOUN
brj-23138	230	24	c	c	VERB
brj-23138	230	25	,	,	PUNCT
brj-23138	230	26	g	g	PROPN
brj-23138	230	27	,	,	PUNCT
brj-23138	230	28	and	and	CCONJ
brj-23138	230	29	pcs	pc	NOUN
brj-23138	230	30	are	be	AUX
brj-23138	230	31	considered	consider	VERB
brj-23138	230	32	to	to	PART
brj-23138	230	33	be	be	AUX
brj-23138	230	34	the	the	DET
brj-23138	230	35	most	most	ADV
brj-23138	230	36	critical	critical	ADJ
brj-23138	230	37	parameters	parameter	NOUN
brj-23138	230	38	in	in	ADP
brj-23138	230	39	svm	svm	PROPN
brj-23138	230	40	,	,	PUNCT
brj-23138	230	41	which	which	PRON
brj-23138	230	42	significantly	significantly	ADV
brj-23138	230	43	influence	influence	VERB
brj-23138	230	44	the	the	DET
brj-23138	230	45	performance	performance	NOUN
brj-23138	230	46	.	.	PUNCT
brj-23138	231	1	table	table	NOUN
brj-23138	231	2	2	2	NUM
brj-23138	231	3	demonstrates	demonstrate	VERB
brj-23138	231	4	the	the	DET
brj-23138	231	5	results	result	NOUN
brj-23138	231	6	of	of	ADP
brj-23138	231	7	simultaneously	simultaneously	ADV
brj-23138	231	8	optimizing	optimize	VERB
brj-23138	231	9	the	the	DET
brj-23138	231	10	svm	svm	NOUN
brj-23138	231	11	with	with	ADP
brj-23138	231	12	three	three	NUM
brj-23138	231	13	parameters	parameter	NOUN
brj-23138	231	14	,	,	PUNCT
brj-23138	231	15	utilizing	utilize	VERB
brj-23138	231	16	the	the	DET
brj-23138	231	17	five	five	NUM
brj-23138	231	18	-	-	ADJ
brj-23138	231	19	fold	fold	ADJ
brj-23138	231	20	crossvalidation	crossvalidation	NOUN
brj-23138	231	21	and	and	CCONJ
brj-23138	231	22	grid	grid	NOUN
brj-23138	231	23	search	search	NOUN
brj-23138	231	24	strategy	strategy	NOUN
brj-23138	231	25	.	.	PUNCT
brj-23138	232	1	the	the	DET
brj-23138	232	2	performance	performance	NOUN
brj-23138	232	3	of	of	ADP
brj-23138	232	4	svm	svm	PROPN
brj-23138	232	5	increased	increase	VERB
brj-23138	232	6	gradually	gradually	ADV
brj-23138	232	7	with	with	ADP
brj-23138	232	8	increasing	increase	VERB
brj-23138	232	9	pcs	pc	NOUN
brj-23138	232	10	from	from	ADP
brj-23138	232	11	1	1	NUM
brj-23138	232	12	to	to	PART
brj-23138	232	13	10	10	NUM
brj-23138	232	14	.	.	PUNCT
brj-23138	233	1	when	when	SCONJ
brj-23138	233	2	c=	c=	NOUN
brj-23138	233	3	0.7071	0.7071	NUM
brj-23138	233	4	,	,	PUNCT
brj-23138	233	5	g	g	PROPN
brj-23138	233	6	=	=	SYM
brj-23138	233	7	0.2500	0.2500	NUM
brj-23138	233	8	,	,	PUNCT
brj-23138	233	9	and	and	CCONJ
brj-23138	233	10	pcs	pc	NOUN
brj-23138	233	11	=	=	SYM
brj-23138	233	12	10	10	NUM
brj-23138	233	13	,	,	PUNCT
brj-23138	233	14	the	the	DET
brj-23138	233	15	svm	svm	PROPN
brj-23138	233	16	obtained	obtain	VERB
brj-23138	233	17	the	the	DET
brj-23138	233	18	best	good	ADJ
brj-23138	233	19	discrimination	discrimination	NOUN
brj-23138	233	20	percentage	percentage	NOUN
brj-23138	233	21	of	of	ADP
brj-23138	233	22	100.00	100.00	NUM
brj-23138	233	23	%	%	NOUN
brj-23138	233	24	.	.	PUNCT
brj-23138	234	1	however	however	ADV
brj-23138	234	2	,	,	PUNCT
brj-23138	234	3	with	with	ADP
brj-23138	234	4	the	the	DET
brj-23138	234	5	increasing	increasing	NOUN
brj-23138	234	6	of	of	ADP
brj-23138	234	7	pcs	pc	NOUN
brj-23138	234	8	,	,	PUNCT
brj-23138	234	9	the	the	DET
brj-23138	234	10	performance	performance	NOUN
brj-23138	234	11	of	of	ADP
brj-23138	234	12	the	the	DET
brj-23138	234	13	svm	svm	PROPN
brj-23138	234	14	showed	show	VERB
brj-23138	234	15	a	a	DET
brj-23138	234	16	certain	certain	ADJ
brj-23138	234	17	fluctuation	fluctuation	NOUN
brj-23138	234	18	,	,	PUNCT
brj-23138	234	19	at	at	ADP
brj-23138	234	20	discrimination	discrimination	NOUN
brj-23138	234	21	percentages	percentage	NOUN
brj-23138	234	22	of	of	ADP
brj-23138	234	23	98	98	NUM
brj-23138	234	24	to	to	PART
brj-23138	234	25	100	100	NUM
brj-23138	234	26	.	.	PUNCT
brj-23138	235	1	this	this	DET
brj-23138	235	2	phenomenon	phenomenon	NOUN
brj-23138	235	3	is	be	AUX
brj-23138	235	4	caused	cause	VERB
brj-23138	235	5	by	by	ADP
brj-23138	235	6	the	the	DET
brj-23138	235	7	introduction	introduction	NOUN
brj-23138	235	8	of	of	ADP
brj-23138	235	9	too	too	ADV
brj-23138	235	10	many	many	ADJ
brj-23138	235	11	pcs	pc	NOUN
brj-23138	235	12	into	into	ADP
brj-23138	235	13	the	the	DET
brj-23138	235	14	model	model	NOUN
brj-23138	235	15	,	,	PUNCT
brj-23138	235	16	leading	lead	VERB
brj-23138	235	17	to	to	ADP
brj-23138	235	18	interference	interference	NOUN
brj-23138	235	19	and	and	CCONJ
brj-23138	235	20	invalid	invalid	ADJ
brj-23138	235	21	information	information	NOUN
brj-23138	235	22	for	for	ADP
brj-23138	235	23	the	the	DET
brj-23138	235	24	model	model	NOUN
brj-23138	235	25	.	.	PUNCT
brj-23138	236	1	the	the	DET
brj-23138	236	2	36	36	NUM
brj-23138	236	3	independent	independent	ADJ
brj-23138	236	4	samples	sample	NOUN
brj-23138	236	5	in	in	ADP
brj-23138	236	6	the	the	DET
brj-23138	236	7	prediction	prediction	NOUN
brj-23138	236	8	set	set	NOUN
brj-23138	236	9	were	be	AUX
brj-23138	236	10	imported	import	VERB
brj-23138	236	11	into	into	ADP
brj-23138	236	12	the	the	DET
brj-23138	236	13	optimized	optimize	VERB
brj-23138	236	14	model	model	NOUN
brj-23138	236	15	,	,	PUNCT
brj-23138	236	16	and	and	CCONJ
brj-23138	236	17	a	a	DET
brj-23138	236	18	superior	superior	ADJ
brj-23138	236	19	result	result	NOUN
brj-23138	236	20	was	be	AUX
brj-23138	236	21	acquired	acquire	VERB
brj-23138	236	22	with	with	ADP
brj-23138	236	23	a	a	DET
brj-23138	236	24	discrimination	discrimination	NOUN
brj-23138	236	25	of	of	ADP
brj-23138	236	26	100	100	NUM
brj-23138	236	27	%	%	NOUN
brj-23138	236	28	.	.	PUNCT
brj-23138	237	1	the	the	DET
brj-23138	237	2	confusion	confusion	NOUN
brj-23138	237	3	matrix	matrix	NOUN
brj-23138	237	4	for	for	ADP
brj-23138	237	5	the	the	DET
brj-23138	237	6	prediction	prediction	NOUN
brj-23138	237	7	set	set	NOUN
brj-23138	237	8	is	be	AUX
brj-23138	237	9	illustrated	illustrate	VERB
brj-23138	237	10	in	in	ADP
brj-23138	237	11	fig	fig	NOUN
brj-23138	237	12	.	.	PUNCT
brj-23138	238	1	8(b	8(b	NUM
brj-23138	238	2	)	)	PUNCT
brj-23138	238	3	,	,	PUNCT
brj-23138	239	1	which	which	PRON
brj-23138	239	2	achieved	achieve	VERB
brj-23138	239	3	clear	clear	ADJ
brj-23138	239	4	discrimination	discrimination	NOUN
brj-23138	239	5	among	among	ADP
brj-23138	239	6	the	the	DET
brj-23138	239	7	three	three	NUM
brj-23138	239	8	quality	quality	NOUN
brj-23138	239	9	grades	grade	NOUN
brj-23138	240	1	.	.	PUNCT
brj-23138	241	1	therefore	therefore	ADV
brj-23138	241	2	,	,	PUNCT
brj-23138	241	3	the	the	DET
brj-23138	241	4	olfactory	olfactory	NOUN
brj-23138	241	5	visualization	visualization	NOUN
brj-23138	241	6	technique	technique	NOUN
brj-23138	241	7	integrated	integrate	VERB
brj-23138	241	8	with	with	ADP
brj-23138	241	9	the	the	DET
brj-23138	241	10	svm	svm	PROPN
brj-23138	241	11	model	model	NOUN
brj-23138	241	12	demonstrated	demonstrate	VERB
brj-23138	241	13	an	an	DET
brj-23138	241	14	excellent	excellent	ADJ
brj-23138	241	15	application	application	NOUN
brj-23138	241	16	for	for	ADP
brj-23138	241	17	the	the	DET
brj-23138	241	18	qualitative	qualitative	ADJ
brj-23138	241	19	identification	identification	NOUN
brj-23138	241	20	of	of	ADP
brj-23138	241	21	maize	maize	NOUN
brj-23138	241	22	silage	silage	NOUN
brj-23138	241	23	.	.	PUNCT
brj-23138	242	1	results	result	NOUN
brj-23138	242	2	of	of	ADP
brj-23138	242	3	rf	rf	NOUN
brj-23138	242	4	model	model	NOUN
brj-23138	242	5	generally	generally	ADV
brj-23138	242	6	,	,	PUNCT
brj-23138	242	7	the	the	DET
brj-23138	242	8	higher	high	ADJ
brj-23138	242	9	number	number	NOUN
brj-23138	242	10	of	of	ADP
brj-23138	242	11	decision	decision	NOUN
brj-23138	242	12	trees	tree	NOUN
brj-23138	242	13	in	in	ADP
brj-23138	242	14	rf	rf	NOUN
brj-23138	242	15	,	,	PUNCT
brj-23138	242	16	the	the	PRON
brj-23138	242	17	better	well	ADJ
brj-23138	242	18	the	the	DET
brj-23138	242	19	performance	performance	NOUN
brj-23138	242	20	of	of	ADP
brj-23138	242	21	the	the	DET
brj-23138	242	22	model	model	NOUN
brj-23138	242	23	,	,	PUNCT
brj-23138	242	24	but	but	CCONJ
brj-23138	242	25	it	it	PRON
brj-23138	242	26	can	can	AUX
brj-23138	242	27	lead	lead	VERB
brj-23138	242	28	to	to	ADP
brj-23138	242	29	an	an	DET
brj-23138	242	30	increase	increase	NOUN
brj-23138	242	31	in	in	ADP
brj-23138	242	32	computational	computational	ADJ
brj-23138	242	33	cost	cost	NOUN
brj-23138	242	34	as	as	ADV
brj-23138	242	35	well	well	ADV
brj-23138	242	36	.	.	PUNCT
brj-23138	243	1	this	this	DET
brj-23138	243	2	study	study	NOUN
brj-23138	243	3	set	set	VERB
brj-23138	243	4	the	the	DET
brj-23138	243	5	initial	initial	ADJ
brj-23138	243	6	m	m	NOUN
brj-23138	243	7	as	as	ADP
brj-23138	243	8	50	50	NUM
brj-23138	243	9	and	and	CCONJ
brj-23138	243	10	increased	increase	VERB
brj-23138	243	11	it	it	PRON
brj-23138	243	12	at	at	ADP
brj-23138	243	13	intervals	interval	NOUN
brj-23138	243	14	from	from	ADP
brj-23138	243	15	50	50	NUM
brj-23138	243	16	to	to	ADP
brj-23138	243	17	1000	1000	NUM
brj-23138	243	18	.	.	PUNCT
brj-23138	244	1	figure	figure	VERB
brj-23138	244	2	7	7	NUM
brj-23138	244	3	depicts	depict	VERB
brj-23138	244	4	the	the	DET
brj-23138	244	5	discriminant	discriminant	ADJ
brj-23138	244	6	rate	rate	NOUN
brj-23138	244	7	of	of	ADP
brj-23138	244	8	different	different	ADJ
brj-23138	244	9	rf	rf	NOUN
brj-23138	244	10	classification	classification	NOUN
brj-23138	244	11	model	model	NOUN
brj-23138	244	12	for	for	ADP
brj-23138	244	13	different	different	ADJ
brj-23138	244	14	pcs	pc	NOUN
brj-23138	244	15	and	and	CCONJ
brj-23138	244	16	m	m	NOUN
brj-23138	244	17	values	value	NOUN
brj-23138	244	18	.	.	PUNCT
brj-23138	245	1	the	the	DET
brj-23138	245	2	superb	superb	ADJ
brj-23138	245	3	result	result	NOUN
brj-23138	245	4	of	of	ADP
brj-23138	245	5	the	the	DET
brj-23138	245	6	rf	rf	NOUN
brj-23138	245	7	in	in	ADP
brj-23138	245	8	the	the	DET
brj-23138	245	9	training	training	NOUN
brj-23138	245	10	model	model	NOUN
brj-23138	245	11	was	be	AUX
brj-23138	245	12	99.50	99.50	NUM
brj-23138	245	13	%	%	NOUN
brj-23138	245	14	.	.	PUNCT
brj-23138	246	1	the	the	DET
brj-23138	246	2	discrimination	discrimination	NOUN
brj-23138	246	3	fluctuated	fluctuate	VERB
brj-23138	246	4	with	with	ADP
brj-23138	246	5	the	the	DET
brj-23138	246	6	increase	increase	NOUN
brj-23138	246	7	of	of	ADP
brj-23138	246	8	m	m	NOUN
brj-23138	246	9	and	and	CCONJ
brj-23138	246	10	pcs	pc	NOUN
brj-23138	246	11	but	but	CCONJ
brj-23138	246	12	was	be	AUX
brj-23138	246	13	remarkably	remarkably	ADV
brj-23138	246	14	stable	stable	ADJ
brj-23138	246	15	compared	compare	VERB
brj-23138	246	16	to	to	ADP
brj-23138	246	17	elm	elm	PROPN
brj-23138	246	18	,	,	PUNCT
brj-23138	246	19	with	with	ADP
brj-23138	246	20	fluctuations	fluctuation	NOUN
brj-23138	246	21	ranging	range	VERB
brj-23138	246	22	from	from	ADP
brj-23138	246	23	98	98	NUM
brj-23138	246	24	%	%	NOUN
brj-23138	246	25	to	to	PART
brj-23138	246	26	100	100	NUM
brj-23138	246	27	%	%	NOUN
brj-23138	246	28	.	.	PUNCT
brj-23138	247	1	the	the	DET
brj-23138	247	2	parameter	parameter	NOUN
brj-23138	247	3	-	-	PUNCT
brj-23138	247	4	optimized	optimize	VERB
brj-23138	247	5	model	model	NOUN
brj-23138	247	6	was	be	AUX
brj-23138	247	7	applied	apply	VERB
brj-23138	247	8	to	to	ADP
brj-23138	247	9	the	the	DET
brj-23138	247	10	independent	independent	ADJ
brj-23138	247	11	36	36	NUM
brj-23138	247	12	samples	sample	NOUN
brj-23138	247	13	in	in	ADP
brj-23138	247	14	the	the	DET
brj-23138	247	15	prediction	prediction	NOUN
brj-23138	247	16	set	set	NOUN
brj-23138	247	17	,	,	PUNCT
brj-23138	247	18	and	and	CCONJ
brj-23138	247	19	a	a	DET
brj-23138	247	20	satisfactory	satisfactory	ADJ
brj-23138	247	21	recognition	recognition	NOUN
brj-23138	247	22	percentage	percentage	NOUN
brj-23138	247	23	of	of	ADP
brj-23138	247	24	97.22	97.22	NUM
brj-23138	247	25	%	%	NOUN
brj-23138	247	26	was	be	AUX
brj-23138	247	27	obtained	obtain	VERB
brj-23138	247	28	.	.	PUNCT
brj-23138	248	1	figure	figure	NOUN
brj-23138	248	2	8(c	8(c	NUM
brj-23138	248	3	)	)	PUNCT
brj-23138	248	4	presents	present	VERB
brj-23138	248	5	the	the	DET
brj-23138	248	6	confusion	confusion	NOUN
brj-23138	248	7	matrix	matrix	NOUN
brj-23138	248	8	of	of	ADP
brj-23138	248	9	the	the	DET
brj-23138	248	10	rf	rf	NOUN
brj-23138	248	11	about	about	ADP
brj-23138	248	12	the	the	DET
brj-23138	248	13	identification	identification	NOUN
brj-23138	248	14	samples	sample	NOUN
brj-23138	248	15	in	in	ADP
brj-23138	248	16	the	the	DET
brj-23138	248	17	prediction	prediction	NOUN
brj-23138	248	18	set	set	NOUN
brj-23138	248	19	.	.	PUNCT
brj-23138	249	1	there	there	PRON
brj-23138	249	2	were	be	VERB
brj-23138	249	3	superior	superior	ADJ
brj-23138	249	4	sensitivity	sensitivity	NOUN
brj-23138	249	5	scores	score	NOUN
brj-23138	249	6	of	of	ADP
brj-23138	249	7	91.67	91.67	NUM
brj-23138	249	8	%	%	NOUN
brj-23138	249	9	,	,	PUNCT
brj-23138	249	10	100	100	NUM
brj-23138	249	11	%	%	NOUN
brj-23138	249	12	,	,	PUNCT
brj-23138	249	13	and	and	CCONJ
brj-23138	249	14	100	100	NUM
brj-23138	249	15	%	%	NOUN
brj-23138	249	16	for	for	ADP
brj-23138	249	17	fresh	fresh	ADJ
brj-23138	249	18	,	,	PUNCT
brj-23138	249	19	medium	medium	ADJ
brj-23138	249	20	,	,	PUNCT
brj-23138	249	21	and	and	CCONJ
brj-23138	249	22	deteriorated	deteriorated	ADJ
brj-23138	249	23	grades	grade	NOUN
brj-23138	249	24	,	,	PUNCT
brj-23138	249	25	merely	merely	ADV
brj-23138	249	26	one	one	NUM
brj-23138	249	27	fresh	fresh	ADJ
brj-23138	249	28	sample	sample	NOUN
brj-23138	249	29	was	be	AUX
brj-23138	249	30	misidentified	misidentifie	VERB
brj-23138	249	31	as	as	ADP
brj-23138	249	32	the	the	DET
brj-23138	249	33	medium	medium	NOUN
brj-23138	249	34	.	.	PUNCT
brj-23138	250	1	therefore	therefore	ADV
brj-23138	250	2	,	,	PUNCT
brj-23138	250	3	there	there	PRON
brj-23138	250	4	is	be	VERB
brj-23138	250	5	also	also	ADV
brj-23138	250	6	trustworthiness	trustworthiness	NOUN
brj-23138	250	7	for	for	ADP
brj-23138	250	8	applying	apply	VERB
brj-23138	250	9	rf	rf	NOUN
brj-23138	250	10	to	to	ADP
brj-23138	250	11	the	the	DET
brj-23138	250	12	qualitative	qualitative	ADJ
brj-23138	250	13	identification	identification	NOUN
brj-23138	250	14	of	of	ADP
brj-23138	250	15	maize	maize	NOUN
brj-23138	250	16	silage	silage	NOUN
brj-23138	250	17	.	.	PUNCT
brj-23138	251	1	peer	peer	NOUN
brj-23138	251	2	-	-	PUNCT
brj-23138	251	3	reviewed	review	VERB
brj-23138	251	4	article	article	NOUN
brj-23138	251	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	251	6	tao	tao	PROPN
brj-23138	251	7	et	et	PROPN
brj-23138	251	8	al	al	PROPN
brj-23138	251	9	.	.	PROPN
brj-23138	252	1	(	(	PUNCT
brj-23138	252	2	2024	2024	NUM
brj-23138	252	3	)	)	PUNCT
brj-23138	252	4	.	.	PUNCT
brj-23138	253	1	“	"	PUNCT
brj-23138	253	2	maize	maize	VERB
brj-23138	253	3	silage	silage	NOUN
brj-23138	253	4	quality	quality	NOUN
brj-23138	253	5	testing	testing	NOUN
brj-23138	253	6	,	,	PUNCT
brj-23138	253	7	”	"	PUNCT
brj-23138	253	8	bioresources	bioresource	NOUN
brj-23138	253	9	19(2	19(2	NUM
brj-23138	253	10	)	)	PUNCT
brj-23138	253	11	,	,	PUNCT
brj-23138	253	12	3597	3597	NUM
brj-23138	253	13	-	-	SYM
brj-23138	253	14	3613	3613	NUM
brj-23138	253	15	.	.	PUNCT
brj-23138	254	1	3609	3609	NUM
brj-23138	254	2	fig	fig	NOUN
brj-23138	254	3	.	.	PUNCT
brj-23138	255	1	7	7	X
brj-23138	255	2	.	.	X
brj-23138	255	3	discrimination	discrimination	NOUN
brj-23138	255	4	rate	rate	NOUN
brj-23138	255	5	of	of	ADP
brj-23138	255	6	rf	rf	NOUN
brj-23138	255	7	models	model	NOUN
brj-23138	255	8	with	with	ADP
brj-23138	255	9	different	different	ADJ
brj-23138	255	10	m	m	NOUN
brj-23138	255	11	values	value	NOUN
brj-23138	255	12	and	and	CCONJ
brj-23138	255	13	pcs	pc	NOUN
brj-23138	255	14	in	in	ADP
brj-23138	255	15	the	the	DET
brj-23138	255	16	training	training	NOUN
brj-23138	255	17	set	set	VERB
brj-23138	255	18	comparison	comparison	NOUN
brj-23138	255	19	of	of	ADP
brj-23138	255	20	different	different	ADJ
brj-23138	255	21	classification	classification	NOUN
brj-23138	255	22	models	model	NOUN
brj-23138	255	23	performance	performance	NOUN
brj-23138	255	24	olfactory	olfactory	NOUN
brj-23138	255	25	visualization	visualization	NOUN
brj-23138	255	26	sensors	sensor	NOUN
brj-23138	255	27	and	and	CCONJ
brj-23138	255	28	chemometric	chemometric	ADJ
brj-23138	255	29	methods	method	NOUN
brj-23138	255	30	were	be	AUX
brj-23138	255	31	used	use	VERB
brj-23138	255	32	to	to	PART
brj-23138	255	33	characterize	characterize	VERB
brj-23138	255	34	different	different	ADJ
brj-23138	255	35	quality	quality	NOUN
brj-23138	255	36	grades	grade	NOUN
brj-23138	255	37	of	of	ADP
brj-23138	255	38	maize	maize	NOUN
brj-23138	255	39	silage	silage	NOUN
brj-23138	255	40	.	.	PUNCT
brj-23138	256	1	the	the	DET
brj-23138	256	2	olfactory	olfactory	ADJ
brj-23138	256	3	sensor	sensor	NOUN
brj-23138	256	4	platform	platform	NOUN
brj-23138	256	5	was	be	AUX
brj-23138	256	6	constructed	construct	VERB
brj-23138	256	7	using	use	VERB
brj-23138	256	8	a	a	DET
brj-23138	256	9	4	4	NUM
brj-23138	256	10	×	×	NOUN
brj-23138	256	11	3	3	NUM
brj-23138	256	12	multichannel	multichannel	NOUN
brj-23138	256	13	with	with	ADP
brj-23138	256	14	108	108	NUM
brj-23138	256	15	variables	variable	NOUN
brj-23138	256	16	.	.	PUNCT
brj-23138	257	1	moreover	moreover	ADV
brj-23138	257	2	,	,	PUNCT
brj-23138	257	3	the	the	DET
brj-23138	257	4	three	three	NUM
brj-23138	257	5	qualitative	qualitative	ADJ
brj-23138	257	6	models	model	NOUN
brj-23138	257	7	and	and	CCONJ
brj-23138	257	8	optimization	optimization	NOUN
brj-23138	257	9	strategies	strategy	NOUN
brj-23138	257	10	were	be	AUX
brj-23138	257	11	employed	employ	VERB
brj-23138	257	12	to	to	PART
brj-23138	257	13	establish	establish	VERB
brj-23138	257	14	the	the	DET
brj-23138	257	15	classification	classification	NOUN
brj-23138	257	16	models	model	NOUN
brj-23138	257	17	.	.	PUNCT
brj-23138	258	1	the	the	DET
brj-23138	258	2	discrimination	discrimination	NOUN
brj-23138	258	3	results	result	NOUN
brj-23138	258	4	of	of	ADP
brj-23138	258	5	elm	elm	PROPN
brj-23138	258	6	,	,	PUNCT
brj-23138	258	7	svm	svm	PROPN
brj-23138	258	8	,	,	PUNCT
brj-23138	258	9	and	and	CCONJ
brj-23138	258	10	rf	rf	NOUN
brj-23138	258	11	modes	mode	NOUN
brj-23138	258	12	in	in	ADP
brj-23138	258	13	recognizing	recognize	VERB
brj-23138	258	14	maize	maize	NOUN
brj-23138	258	15	silage	silage	NOUN
brj-23138	258	16	quality	quality	NOUN
brj-23138	258	17	are	be	AUX
brj-23138	258	18	demonstrated	demonstrate	VERB
brj-23138	258	19	in	in	ADP
brj-23138	258	20	table	table	NOUN
brj-23138	258	21	3	3	NUM
brj-23138	258	22	.	.	PUNCT
brj-23138	259	1	among	among	ADP
brj-23138	259	2	the	the	DET
brj-23138	259	3	three	three	NUM
brj-23138	259	4	models	model	NOUN
brj-23138	259	5	,	,	PUNCT
brj-23138	259	6	svm	svm	PROPN
brj-23138	259	7	achieved	achieve	VERB
brj-23138	259	8	the	the	DET
brj-23138	259	9	100	100	NUM
brj-23138	259	10	%	%	NOUN
brj-23138	259	11	correct	correct	ADJ
brj-23138	259	12	identification	identification	NOUN
brj-23138	259	13	rate	rate	NOUN
brj-23138	259	14	for	for	ADP
brj-23138	259	15	independent	independent	ADJ
brj-23138	259	16	samples	sample	NOUN
brj-23138	259	17	,	,	PUNCT
brj-23138	259	18	which	which	PRON
brj-23138	259	19	is	be	AUX
brj-23138	259	20	considered	consider	VERB
brj-23138	259	21	to	to	PART
brj-23138	259	22	be	be	AUX
brj-23138	259	23	the	the	DET
brj-23138	259	24	most	most	ADV
brj-23138	259	25	desirable	desirable	ADJ
brj-23138	259	26	model	model	NOUN
brj-23138	259	27	.	.	PUNCT
brj-23138	260	1	the	the	DET
brj-23138	260	2	reason	reason	NOUN
brj-23138	260	3	that	that	PRON
brj-23138	260	4	the	the	DET
brj-23138	260	5	olfactory	olfactory	NOUN
brj-23138	260	6	visualization	visualization	NOUN
brj-23138	260	7	system	system	NOUN
brj-23138	260	8	combined	combine	VERB
brj-23138	260	9	with	with	ADP
brj-23138	260	10	the	the	DET
brj-23138	260	11	svm	svm	PROPN
brj-23138	260	12	classification	classification	NOUN
brj-23138	260	13	model	model	NOUN
brj-23138	260	14	can	can	AUX
brj-23138	260	15	achieve	achieve	VERB
brj-23138	260	16	such	such	ADJ
brj-23138	260	17	perfect	perfect	ADJ
brj-23138	260	18	recognition	recognition	NOUN
brj-23138	260	19	results	result	NOUN
brj-23138	260	20	can	can	AUX
brj-23138	260	21	be	be	AUX
brj-23138	260	22	summarized	summarize	VERB
brj-23138	260	23	as	as	SCONJ
brj-23138	260	24	follows	follow	NOUN
brj-23138	260	25	.	.	PUNCT
brj-23138	261	1	fig	fig	NOUN
brj-23138	261	2	.	.	PUNCT
brj-23138	262	1	8	8	X
brj-23138	262	2	.	.	PUNCT
brj-23138	263	1	the	the	DET
brj-23138	263	2	confusion	confusion	NOUN
brj-23138	263	3	matrixes	matrix	NOUN
brj-23138	263	4	of	of	ADP
brj-23138	263	5	discrimination	discrimination	NOUN
brj-23138	263	6	rates	rate	NOUN
brj-23138	263	7	for	for	ADP
brj-23138	263	8	three	three	NUM
brj-23138	263	9	qualitative	qualitative	ADJ
brj-23138	263	10	models	model	NOUN
brj-23138	263	11	in	in	ADP
brj-23138	263	12	the	the	DET
brj-23138	263	13	predicting	predict	VERB
brj-23138	263	14	set	set	NOUN
brj-23138	263	15	.	.	PUNCT
brj-23138	264	1	(	(	PUNCT
brj-23138	264	2	a	a	X
brj-23138	264	3	)	)	PUNCT
brj-23138	264	4	elm	elm	NOUN
brj-23138	264	5	;	;	PUNCT
brj-23138	264	6	(	(	PUNCT
brj-23138	264	7	b	b	X
brj-23138	264	8	)	)	PUNCT
brj-23138	264	9	svm	svm	PROPN
brj-23138	264	10	;	;	PUNCT
brj-23138	264	11	(	(	PUNCT
brj-23138	264	12	c	c	X
brj-23138	264	13	)	)	PUNCT
brj-23138	264	14	rf	rf	NOUN
brj-23138	264	15	.	.	NOUN
brj-23138	265	1	first	first	ADV
brj-23138	265	2	,	,	PUNCT
brj-23138	265	3	concerning	concern	VERB
brj-23138	265	4	aspects	aspect	NOUN
brj-23138	265	5	of	of	ADP
brj-23138	265	6	olfactory	olfactory	ADJ
brj-23138	265	7	sensor	sensor	NOUN
brj-23138	265	8	systems	system	NOUN
brj-23138	265	9	,	,	PUNCT
brj-23138	265	10	during	during	ADP
brj-23138	265	11	aerobic	aerobic	ADJ
brj-23138	265	12	exposure	exposure	NOUN
brj-23138	265	13	to	to	PART
brj-23138	265	14	maize	maize	VERB
brj-23138	265	15	silage	silage	NOUN
brj-23138	265	16	,	,	PUNCT
brj-23138	265	17	organic	organic	ADJ
brj-23138	265	18	substances	substance	NOUN
brj-23138	265	19	in	in	ADP
brj-23138	265	20	the	the	DET
brj-23138	265	21	maize	maize	NOUN
brj-23138	265	22	silage	silage	NOUN
brj-23138	265	23	are	be	AUX
brj-23138	265	24	oxidized	oxidize	VERB
brj-23138	265	25	,	,	PUNCT
brj-23138	265	26	accompanied	accompany	VERB
brj-23138	265	27	by	by	ADP
brj-23138	265	28	abnormal	abnormal	ADJ
brj-23138	265	29	activity	activity	NOUN
brj-23138	265	30	of	of	ADP
brj-23138	265	31	microbial	microbial	ADJ
brj-23138	265	32	metabolism	metabolism	NOUN
brj-23138	265	33	,	,	PUNCT
brj-23138	265	34	and	and	CCONJ
brj-23138	265	35	these	these	DET
brj-23138	265	36	variations	variation	NOUN
brj-23138	265	37	contribute	contribute	VERB
brj-23138	265	38	to	to	ADP
brj-23138	265	39	different	different	ADJ
brj-23138	265	40	levels	level	NOUN
brj-23138	265	41	of	of	ADP
brj-23138	265	42	volatile	volatile	ADJ
brj-23138	265	43	organic	organic	ADJ
brj-23138	265	44	compounds	compound	NOUN
brj-23138	265	45	in	in	ADP
brj-23138	265	46	different	different	ADJ
brj-23138	265	47	qualities	quality	NOUN
brj-23138	265	48	of	of	ADP
brj-23138	265	49	maize	maize	NOUN
brj-23138	265	50	silage	silage	NOUN
brj-23138	265	51	.	.	PUNCT
brj-23138	266	1	although	although	SCONJ
brj-23138	266	2	these	these	DET
brj-23138	266	3	small	small	ADJ
brj-23138	266	4	changes	change	NOUN
brj-23138	266	5	are	be	AUX
brj-23138	266	6	difficult	difficult	ADJ
brj-23138	266	7	to	to	PART
brj-23138	266	8	recognize	recognize	VERB
brj-23138	266	9	by	by	ADP
brj-23138	266	10	humans	human	NOUN
brj-23138	266	11	,	,	PUNCT
brj-23138	266	12	the	the	DET
brj-23138	266	13	differences	difference	NOUN
brj-23138	266	14	can	can	AUX
brj-23138	266	15	be	be	AUX
brj-23138	266	16	captured	capture	VERB
brj-23138	266	17	by	by	ADP
brj-23138	266	18	olfactory	olfactory	ADJ
brj-23138	266	19	sensors	sensor	NOUN
brj-23138	266	20	fabricated	fabricate	VERB
brj-23138	266	21	from	from	ADP
brj-23138	266	22	this	this	DET
brj-23138	266	23	study	study	NOUN
brj-23138	266	24	.	.	PUNCT
brj-23138	267	1	appropriate	appropriate	ADJ
brj-23138	267	2	porphyrins	porphyrin	NOUN
brj-23138	267	3	and	and	CCONJ
brj-23138	267	4	ph	ph	ADJ
brj-23138	267	5	indicators	indicator	NOUN
brj-23138	267	6	have	have	VERB
brj-23138	267	7	strong	strong	ADJ
brj-23138	267	8	interactions	interaction	NOUN
brj-23138	267	9	with	with	ADP
brj-23138	267	10	various	various	ADJ
brj-23138	267	11	vocs	vocs	PROPN
brj-23138	267	12	and	and	CCONJ
brj-23138	267	13	have	have	VERB
brj-23138	267	14	a	a	DET
brj-23138	267	15	broad	broad	ADJ
brj-23138	267	16	range	range	NOUN
brj-23138	267	17	of	of	ADP
brj-23138	267	18	responses	response	NOUN
brj-23138	267	19	to	to	ADP
brj-23138	267	20	different	different	ADJ
brj-23138	267	21	concentrations	concentration	NOUN
brj-23138	267	22	of	of	ADP
brj-23138	267	23	vocs	vocs	PROPN
brj-23138	267	24	.	.	PUNCT
brj-23138	268	1	these	these	PRON
brj-23138	268	2	allowed	allow	VERB
brj-23138	268	3	the	the	DET
brj-23138	268	4	olfactory	olfactory	ADJ
brj-23138	268	5	visualization	visualization	NOUN
brj-23138	268	6	sensors	sensor	NOUN
brj-23138	268	7	to	to	PART
brj-23138	268	8	peer	peer	NOUN
brj-23138	268	9	-	-	PUNCT
brj-23138	268	10	reviewed	review	VERB
brj-23138	268	11	article	article	NOUN
brj-23138	268	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	268	13	tao	tao	PROPN
brj-23138	268	14	et	et	PROPN
brj-23138	268	15	al	al	PROPN
brj-23138	268	16	.	.	PROPN
brj-23138	269	1	(	(	PUNCT
brj-23138	269	2	2024	2024	NUM
brj-23138	269	3	)	)	PUNCT
brj-23138	269	4	.	.	PUNCT
brj-23138	270	1	“	"	PUNCT
brj-23138	270	2	maize	maize	VERB
brj-23138	270	3	silage	silage	NOUN
brj-23138	270	4	quality	quality	NOUN
brj-23138	270	5	testing	testing	NOUN
brj-23138	270	6	,	,	PUNCT
brj-23138	270	7	”	"	PUNCT
brj-23138	270	8	bioresources	bioresource	NOUN
brj-23138	270	9	19(2	19(2	NUM
brj-23138	270	10	)	)	PUNCT
brj-23138	270	11	,	,	PUNCT
brj-23138	270	12	3597	3597	NUM
brj-23138	270	13	-	-	SYM
brj-23138	270	14	3613	3613	NUM
brj-23138	270	15	.	.	PUNCT
brj-23138	271	1	3610	3610	NUM
brj-23138	271	2	recognize	recognize	VERB
brj-23138	271	3	differences	difference	NOUN
brj-23138	271	4	in	in	ADP
brj-23138	271	5	odor	odor	NOUN
brj-23138	271	6	among	among	ADP
brj-23138	271	7	different	different	ADJ
brj-23138	271	8	maize	maize	NOUN
brj-23138	271	9	silage	silage	NOUN
brj-23138	271	10	qualities	quality	NOUN
brj-23138	271	11	.	.	PUNCT
brj-23138	272	1	in	in	ADP
brj-23138	272	2	addition	addition	NOUN
brj-23138	272	3	,	,	PUNCT
brj-23138	272	4	the	the	DET
brj-23138	272	5	4	4	NUM
brj-23138	272	6	×	×	NOUN
brj-23138	272	7	3	3	NUM
brj-23138	272	8	sensor	sensor	NOUN
brj-23138	272	9	array	array	NOUN
brj-23138	272	10	was	be	AUX
brj-23138	272	11	able	able	ADJ
brj-23138	272	12	to	to	PART
brj-23138	272	13	acquire	acquire	VERB
brj-23138	272	14	vocs	vocs	PROPN
brj-23138	272	15	information	information	NOUN
brj-23138	272	16	from	from	ADP
brj-23138	272	17	12	12	NUM
brj-23138	272	18	channels	channel	NOUN
brj-23138	272	19	,	,	PUNCT
brj-23138	272	20	which	which	PRON
brj-23138	272	21	made	make	VERB
brj-23138	272	22	it	it	PRON
brj-23138	272	23	possible	possible	ADJ
brj-23138	272	24	to	to	PART
brj-23138	272	25	identify	identify	VERB
brj-23138	272	26	and	and	CCONJ
brj-23138	272	27	differentiate	differentiate	VERB
brj-23138	272	28	different	different	ADJ
brj-23138	272	29	odors	odor	NOUN
brj-23138	272	30	and	and	CCONJ
brj-23138	272	31	reduce	reduce	VERB
brj-23138	272	32	the	the	DET
brj-23138	272	33	impact	impact	NOUN
brj-23138	272	34	of	of	ADP
brj-23138	272	35	crossresponse	crossresponse	NOUN
brj-23138	272	36	.	.	PUNCT
brj-23138	273	1	therefore	therefore	ADV
brj-23138	273	2	,	,	PUNCT
brj-23138	273	3	the	the	DET
brj-23138	273	4	colorimetric	colorimetric	ADJ
brj-23138	273	5	sensors	sensor	NOUN
brj-23138	273	6	array	array	VERB
brj-23138	273	7	demonstrated	demonstrate	VERB
brj-23138	273	8	a	a	DET
brj-23138	273	9	unique	unique	ADJ
brj-23138	273	10	advantage	advantage	NOUN
brj-23138	273	11	for	for	ADP
brj-23138	273	12	detecting	detect	VERB
brj-23138	273	13	maize	maize	NOUN
brj-23138	273	14	silage	silage	NOUN
brj-23138	273	15	.	.	PUNCT
brj-23138	273	16	table	table	NOUN
brj-23138	273	17	3	3	NUM
brj-23138	273	18	.	.	NOUN
brj-23138	273	19	results	result	NOUN
brj-23138	273	20	and	and	CCONJ
brj-23138	273	21	comparison	comparison	NOUN
brj-23138	273	22	of	of	ADP
brj-23138	273	23	the	the	DET
brj-23138	273	24	best	good	ADJ
brj-23138	273	25	extreme	extreme	ADJ
brj-23138	273	26	learning	learning	NOUN
brj-23138	273	27	machine	machine	NOUN
brj-23138	273	28	(	(	PUNCT
brj-23138	273	29	elm	elm	NOUN
brj-23138	273	30	)	)	PUNCT
brj-23138	273	31	model	model	NOUN
brj-23138	273	32	,	,	PUNCT
brj-23138	273	33	support	support	NOUN
brj-23138	273	34	vector	vector	NOUN
brj-23138	273	35	machine	machine	NOUN
brj-23138	273	36	(	(	PUNCT
brj-23138	273	37	svm	svm	PROPN
brj-23138	273	38	)	)	PUNCT
brj-23138	273	39	and	and	CCONJ
brj-23138	273	40	random	random	ADJ
brj-23138	273	41	forest	forest	NOUN
brj-23138	273	42	(	(	PUNCT
brj-23138	273	43	rf	rf	NOUN
brj-23138	273	44	)	)	PUNCT
brj-23138	273	45	model	model	NOUN
brj-23138	273	46	model	model	NOUN
brj-23138	273	47	pcs	pc	NOUN
brj-23138	273	48	other	other	ADJ
brj-23138	273	49	parameters	parameter	NOUN
brj-23138	273	50	discrimination	discrimination	NOUN
brj-23138	273	51	rate	rate	NOUN
brj-23138	273	52	(	(	PUNCT
brj-23138	273	53	%	%	INTJ
brj-23138	273	54	)	)	PUNCT
brj-23138	273	55	training	training	NOUN
brj-23138	273	56	set	set	NOUN
brj-23138	273	57	(	(	PUNCT
brj-23138	273	58	%	%	INTJ
brj-23138	273	59	)	)	PUNCT
brj-23138	273	60	prediction	prediction	NOUN
brj-23138	273	61	set	set	NOUN
brj-23138	273	62	(	(	PUNCT
brj-23138	273	63	%	%	INTJ
brj-23138	273	64	)	)	PUNCT
brj-23138	273	65	elm	elm	NOUN
brj-23138	274	1	10	10	NUM
brj-23138	274	2	k	k	NOUN
brj-23138	274	3	=	=	SYM
brj-23138	274	4	20	20	NUM
brj-23138	274	5	100.00	100.00	NUM
brj-23138	274	6	94.44	94.44	NUM
brj-23138	274	7	svm	svm	PROPN
brj-23138	274	8	10	10	NUM
brj-23138	274	9	c	c	NOUN
brj-23138	274	10	=	=	SYM
brj-23138	274	11	0.7071	0.7071	PROPN
brj-23138	274	12	,	,	PUNCT
brj-23138	274	13	g	g	PROPN
brj-23138	274	14	=	=	PUNCT
brj-23138	274	15	0.2500	0.2500	NUM
brj-23138	274	16	100.00	100.00	NUM
brj-23138	274	17	100.00	100.00	NUM
brj-23138	274	18	rf	rf	NUM
brj-23138	274	19	7	7	NUM
brj-23138	274	20	m	m	NOUN
brj-23138	274	21	=	=	NOUN
brj-23138	274	22	600	600	NUM
brj-23138	274	23	99.50	99.50	NUM
brj-23138	274	24	97.22	97.22	NUM
brj-23138	274	25	pcs	pc	NOUN
brj-23138	274	26	:	:	PUNCT
brj-23138	274	27	number	number	NOUN
brj-23138	274	28	of	of	ADP
brj-23138	274	29	principal	principal	ADJ
brj-23138	274	30	components	component	NOUN
brj-23138	274	31	;	;	PUNCT
brj-23138	274	32	k	k	X
brj-23138	274	33	:	:	PUNCT
brj-23138	274	34	number	number	NOUN
brj-23138	274	35	of	of	ADP
brj-23138	274	36	neurons	neuron	NOUN
brj-23138	274	37	of	of	ADP
brj-23138	274	38	the	the	DET
brj-23138	274	39	hidden	hide	VERB
brj-23138	274	40	layer	layer	NOUN
brj-23138	274	41	in	in	ADP
brj-23138	274	42	the	the	DET
brj-23138	274	43	elm	elm	NOUN
brj-23138	274	44	;	;	PUNCT
brj-23138	275	1	c	c	X
brj-23138	275	2	:	:	PUNCT
brj-23138	275	3	the	the	DET
brj-23138	275	4	penalty	penalty	NOUN
brj-23138	275	5	coefficient	coefficient	NOUN
brj-23138	275	6	of	of	ADP
brj-23138	275	7	svm	svm	PROPN
brj-23138	275	8	;	;	PUNCT
brj-23138	275	9	g	g	NOUN
brj-23138	275	10	:	:	PUNCT
brj-23138	275	11	kernel	kernel	PROPN
brj-23138	275	12	parameter	parameter	NOUN
brj-23138	275	13	of	of	ADP
brj-23138	275	14	radial	radial	ADJ
brj-23138	275	15	basis	basis	NOUN
brj-23138	275	16	function	function	NOUN
brj-23138	275	17	(	(	PUNCT
brj-23138	275	18	rbf	rbf	PROPN
brj-23138	275	19	)	)	PUNCT
brj-23138	275	20	;	;	PUNCT
brj-23138	275	21	m	m	X
brj-23138	275	22	:	:	PUNCT
brj-23138	275	23	number	number	NOUN
brj-23138	275	24	of	of	ADP
brj-23138	275	25	decision	decision	NOUN
brj-23138	275	26	trees	tree	NOUN
brj-23138	275	27	in	in	ADP
brj-23138	275	28	the	the	DET
brj-23138	275	29	rf	rf	NOUN
brj-23138	275	30	from	from	ADP
brj-23138	275	31	the	the	DET
brj-23138	275	32	perspective	perspective	NOUN
brj-23138	275	33	of	of	ADP
brj-23138	275	34	chemometric	chemometric	ADJ
brj-23138	275	35	methods	method	NOUN
brj-23138	275	36	,	,	PUNCT
brj-23138	275	37	the	the	DET
brj-23138	275	38	olfactory	olfactory	ADJ
brj-23138	275	39	sensor	sensor	NOUN
brj-23138	275	40	array	array	NOUN
brj-23138	275	41	contained	contain	VERB
brj-23138	275	42	108	108	NUM
brj-23138	275	43	variables	variable	NOUN
brj-23138	275	44	,	,	PUNCT
brj-23138	275	45	which	which	PRON
brj-23138	275	46	varied	vary	VERB
brj-23138	275	47	significantly	significantly	ADV
brj-23138	275	48	from	from	ADP
brj-23138	275	49	each	each	DET
brj-23138	275	50	other	other	ADJ
brj-23138	275	51	.	.	PUNCT
brj-23138	276	1	hence	hence	ADV
brj-23138	276	2	,	,	PUNCT
brj-23138	276	3	pca	pca	PROPN
brj-23138	276	4	played	play	VERB
brj-23138	276	5	an	an	DET
brj-23138	276	6	influential	influential	ADJ
brj-23138	276	7	function	function	NOUN
brj-23138	276	8	in	in	ADP
brj-23138	276	9	dimensionality	dimensionality	NOUN
brj-23138	276	10	reduction	reduction	NOUN
brj-23138	276	11	and	and	CCONJ
brj-23138	276	12	principal	principal	ADJ
brj-23138	276	13	component	component	NOUN
brj-23138	276	14	extraction	extraction	NOUN
brj-23138	276	15	.	.	PUNCT
brj-23138	277	1	notably	notably	ADV
brj-23138	277	2	,	,	PUNCT
brj-23138	277	3	the	the	DET
brj-23138	277	4	top	top	ADJ
brj-23138	277	5	three	three	NUM
brj-23138	277	6	pcs	pc	NOUN
brj-23138	277	7	were	be	AUX
brj-23138	277	8	relatively	relatively	ADV
brj-23138	277	9	minor	minor	ADJ
brj-23138	277	10	,	,	PUNCT
brj-23138	277	11	accounting	account	VERB
brj-23138	277	12	for	for	ADP
brj-23138	277	13	a	a	DET
brj-23138	277	14	mere	mere	ADJ
brj-23138	277	15	40.8	40.8	NUM
brj-23138	277	16	%	%	NOUN
brj-23138	277	17	of	of	ADP
brj-23138	277	18	the	the	DET
brj-23138	277	19	total	total	NOUN
brj-23138	277	20	.	.	PUNCT
brj-23138	278	1	it	it	PRON
brj-23138	278	2	implies	imply	VERB
brj-23138	278	3	that	that	SCONJ
brj-23138	278	4	each	each	DET
brj-23138	278	5	sample	sample	NOUN
brj-23138	278	6	has	have	VERB
brj-23138	278	7	a	a	DET
brj-23138	278	8	unique	unique	ADJ
brj-23138	278	9	position	position	NOUN
brj-23138	278	10	in	in	ADP
brj-23138	278	11	the	the	DET
brj-23138	278	12	coordinate	coordinate	NOUN
brj-23138	278	13	system	system	NOUN
brj-23138	278	14	of	of	ADP
brj-23138	278	15	the	the	DET
brj-23138	278	16	principal	principal	ADJ
brj-23138	278	17	components	component	NOUN
brj-23138	278	18	,	,	PUNCT
brj-23138	278	19	emphasizing	emphasize	VERB
brj-23138	278	20	that	that	SCONJ
brj-23138	278	21	each	each	DET
brj-23138	278	22	variable	variable	NOUN
brj-23138	278	23	is	be	AUX
brj-23138	278	24	essential	essential	ADJ
brj-23138	278	25	.	.	PUNCT
brj-23138	279	1	consequently	consequently	ADV
brj-23138	279	2	,	,	PUNCT
brj-23138	279	3	the	the	DET
brj-23138	279	4	top	top	ADJ
brj-23138	279	5	22	22	NUM
brj-23138	279	6	principal	principal	ADJ
brj-23138	279	7	components	component	NOUN
brj-23138	279	8	were	be	AUX
brj-23138	279	9	selected	select	VERB
brj-23138	279	10	to	to	PART
brj-23138	279	11	explain	explain	VERB
brj-23138	279	12	the	the	DET
brj-23138	279	13	variability	variability	NOUN
brj-23138	279	14	of	of	ADP
brj-23138	279	15	the	the	DET
brj-23138	279	16	data	datum	NOUN
brj-23138	279	17	better	well	ADV
brj-23138	279	18	.	.	PUNCT
brj-23138	280	1	among	among	ADP
brj-23138	280	2	the	the	DET
brj-23138	280	3	three	three	NUM
brj-23138	280	4	qualitative	qualitative	ADJ
brj-23138	280	5	discrimination	discrimination	NOUN
brj-23138	280	6	models	model	NOUN
brj-23138	280	7	,	,	PUNCT
brj-23138	280	8	the	the	DET
brj-23138	280	9	discrimination	discrimination	NOUN
brj-23138	280	10	abilities	ability	NOUN
brj-23138	280	11	of	of	ADP
brj-23138	280	12	each	each	DET
brj-23138	280	13	model	model	NOUN
brj-23138	280	14	after	after	SCONJ
brj-23138	280	15	the	the	DET
brj-23138	280	16	parameter	parameter	NOUN
brj-23138	280	17	optimization	optimization	NOUN
brj-23138	280	18	were	be	AUX
brj-23138	280	19	credible	credible	ADJ
brj-23138	280	20	.	.	PUNCT
brj-23138	281	1	however	however	ADV
brj-23138	281	2	,	,	PUNCT
brj-23138	281	3	compared	compare	VERB
brj-23138	281	4	to	to	ADP
brj-23138	281	5	the	the	DET
brj-23138	281	6	training	training	NOUN
brj-23138	281	7	set	set	NOUN
brj-23138	281	8	,	,	PUNCT
brj-23138	281	9	the	the	DET
brj-23138	281	10	discrimination	discrimination	NOUN
brj-23138	281	11	rates	rate	NOUN
brj-23138	281	12	of	of	ADP
brj-23138	281	13	elm	elm	PROPN
brj-23138	281	14	and	and	CCONJ
brj-23138	281	15	rf	rf	NOUN
brj-23138	281	16	in	in	ADP
brj-23138	281	17	predicting	predict	VERB
brj-23138	281	18	independent	independent	ADJ
brj-23138	281	19	samples	sample	NOUN
brj-23138	281	20	were	be	AUX
brj-23138	281	21	reduced	reduce	VERB
brj-23138	281	22	by	by	ADP
brj-23138	281	23	5.56	5.56	NUM
brj-23138	281	24	%	%	NOUN
brj-23138	281	25	and	and	CCONJ
brj-23138	281	26	2.28	2.28	NUM
brj-23138	281	27	%	%	NOUN
brj-23138	281	28	,	,	PUNCT
brj-23138	281	29	respectively	respectively	ADV
brj-23138	281	30	.	.	PUNCT
brj-23138	282	1	this	this	DET
brj-23138	282	2	difference	difference	NOUN
brj-23138	282	3	can	can	AUX
brj-23138	282	4	be	be	AUX
brj-23138	282	5	attributed	attribute	VERB
brj-23138	282	6	to	to	ADP
brj-23138	282	7	several	several	ADJ
brj-23138	282	8	key	key	ADJ
brj-23138	282	9	reasons	reason	NOUN
brj-23138	282	10	.	.	PUNCT
brj-23138	283	1	first	first	ADV
brj-23138	283	2	,	,	PUNCT
brj-23138	283	3	svm	svm	PROPN
brj-23138	283	4	has	have	VERB
brj-23138	283	5	inherent	inherent	ADJ
brj-23138	283	6	advantages	advantage	NOUN
brj-23138	283	7	for	for	ADP
brj-23138	283	8	handling	handle	VERB
brj-23138	283	9	linearly	linearly	ADV
brj-23138	283	10	differentiable	differentiable	ADJ
brj-23138	283	11	data	datum	NOUN
brj-23138	283	12	or	or	CCONJ
brj-23138	283	13	highdimensional	highdimensional	NOUN
brj-23138	283	14	data	datum	NOUN
brj-23138	283	15	after	after	ADP
brj-23138	283	16	kernel	kernel	NOUN
brj-23138	283	17	transformations	transformation	NOUN
brj-23138	283	18	,	,	PUNCT
brj-23138	283	19	while	while	SCONJ
brj-23138	283	20	rf	rf	PRON
brj-23138	283	21	and	and	CCONJ
brj-23138	283	22	elm	elm	NOUN
brj-23138	283	23	may	may	AUX
brj-23138	283	24	not	not	PART
brj-23138	283	25	be	be	AUX
brj-23138	283	26	efficient	efficient	ADJ
brj-23138	283	27	enough	enough	ADV
brj-23138	283	28	in	in	ADP
brj-23138	283	29	handling	handle	VERB
brj-23138	283	30	such	such	ADJ
brj-23138	283	31	data	data	NOUN
brj-23138	283	32	structures	structure	NOUN
brj-23138	283	33	.	.	PUNCT
brj-23138	284	1	second	second	ADV
brj-23138	284	2	,	,	PUNCT
brj-23138	284	3	svm	svm	PROPN
brj-23138	284	4	can	can	AUX
brj-23138	284	5	effectively	effectively	ADV
brj-23138	284	6	avoid	avoid	VERB
brj-23138	284	7	overfitting	overfitte	VERB
brj-23138	284	8	by	by	ADP
brj-23138	284	9	precisely	precisely	ADV
brj-23138	284	10	tuning	tune	VERB
brj-23138	284	11	the	the	DET
brj-23138	284	12	regularization	regularization	NOUN
brj-23138	284	13	parameters	parameter	NOUN
brj-23138	284	14	and	and	CCONJ
brj-23138	284	15	kernel	kernel	PROPN
brj-23138	284	16	function	function	PROPN
brj-23138	284	17	,	,	PUNCT
brj-23138	284	18	ensuring	ensure	VERB
brj-23138	284	19	that	that	SCONJ
brj-23138	284	20	the	the	DET
brj-23138	284	21	model	model	NOUN
brj-23138	284	22	performs	perform	VERB
brj-23138	284	23	well	well	ADV
brj-23138	284	24	on	on	ADP
brj-23138	284	25	sightless	sightless	ADJ
brj-23138	284	26	data	datum	NOUN
brj-23138	284	27	.	.	PUNCT
brj-23138	285	1	in	in	ADP
brj-23138	285	2	contrast	contrast	NOUN
brj-23138	285	3	,	,	PUNCT
brj-23138	285	4	the	the	DET
brj-23138	285	5	other	other	ADJ
brj-23138	285	6	two	two	NUM
brj-23138	285	7	models	model	NOUN
brj-23138	285	8	,	,	PUNCT
brj-23138	285	9	while	while	SCONJ
brj-23138	285	10	also	also	ADV
brj-23138	285	11	capable	capable	ADJ
brj-23138	285	12	of	of	ADP
brj-23138	285	13	handling	handle	VERB
brj-23138	285	14	complex	complex	ADJ
brj-23138	285	15	datasets	dataset	NOUN
brj-23138	285	16	,	,	PUNCT
brj-23138	285	17	might	might	AUX
brj-23138	285	18	not	not	PART
brj-23138	285	19	be	be	AUX
brj-23138	285	20	as	as	ADV
brj-23138	285	21	flexible	flexible	ADJ
brj-23138	285	22	as	as	ADP
brj-23138	285	23	svm	svm	ADJ
brj-23138	285	24	in	in	ADP
brj-23138	285	25	adapting	adapt	VERB
brj-23138	285	26	to	to	ADP
brj-23138	285	27	data	datum	NOUN
brj-23138	285	28	simplified	simplify	VERB
brj-23138	285	29	by	by	ADP
brj-23138	285	30	pca	pca	PROPN
brj-23138	285	31	.	.	PUNCT
brj-23138	286	1	furthermore	furthermore	ADV
brj-23138	286	2	,	,	PUNCT
brj-23138	286	3	the	the	DET
brj-23138	286	4	dimensionality	dimensionality	NOUN
brj-23138	286	5	-	-	PUNCT
brj-23138	286	6	decreased	decrease	VERB
brj-23138	286	7	data	datum	NOUN
brj-23138	286	8	from	from	ADP
brj-23138	286	9	pca	pca	PROPN
brj-23138	286	10	simplifies	simplifie	NOUN
brj-23138	286	11	the	the	DET
brj-23138	286	12	amount	amount	NOUN
brj-23138	286	13	of	of	ADP
brj-23138	286	14	information	information	NOUN
brj-23138	286	15	and	and	CCONJ
brj-23138	286	16	cuts	cut	VERB
brj-23138	286	17	down	down	ADP
brj-23138	286	18	the	the	DET
brj-23138	286	19	noise	noise	NOUN
brj-23138	286	20	,	,	PUNCT
brj-23138	286	21	providing	provide	VERB
brj-23138	286	22	clearer	clear	ADJ
brj-23138	286	23	inputs	input	NOUN
brj-23138	286	24	for	for	ADP
brj-23138	286	25	svm	svm	NOUN
brj-23138	286	26	.	.	PUNCT
brj-23138	287	1	although	although	SCONJ
brj-23138	287	2	all	all	PRON
brj-23138	287	3	of	of	ADP
brj-23138	287	4	the	the	DET
brj-23138	287	5	models	model	NOUN
brj-23138	287	6	were	be	AUX
brj-23138	287	7	able	able	ADJ
brj-23138	287	8	to	to	PART
brj-23138	287	9	deal	deal	VERB
brj-23138	287	10	with	with	ADP
brj-23138	287	11	the	the	DET
brj-23138	287	12	same	same	ADJ
brj-23138	287	13	downscaled	downscaled	ADJ
brj-23138	287	14	data	datum	NOUN
brj-23138	287	15	,	,	PUNCT
brj-23138	287	16	svm	svm	PROPN
brj-23138	287	17	showed	show	VERB
brj-23138	287	18	itself	itself	PRON
brj-23138	287	19	to	to	PART
brj-23138	287	20	be	be	AUX
brj-23138	287	21	more	more	ADV
brj-23138	287	22	effective	effective	ADJ
brj-23138	287	23	in	in	ADP
brj-23138	287	24	capturing	capture	VERB
brj-23138	287	25	feature	feature	NOUN
brj-23138	287	26	dimensions	dimension	NOUN
brj-23138	287	27	critical	critical	ADJ
brj-23138	287	28	to	to	ADP
brj-23138	287	29	classification	classification	NOUN
brj-23138	287	30	decisions	decision	NOUN
brj-23138	287	31	through	through	ADP
brj-23138	287	32	careful	careful	ADJ
brj-23138	287	33	parameter	parameter	NOUN
brj-23138	287	34	tuning	tuning	NOUN
brj-23138	287	35	.	.	PUNCT
brj-23138	288	1	this	this	PRON
brj-23138	288	2	does	do	AUX
brj-23138	288	3	not	not	PART
brj-23138	288	4	mean	mean	VERB
brj-23138	288	5	that	that	SCONJ
brj-23138	288	6	svm	svm	PROPN
brj-23138	288	7	will	will	AUX
brj-23138	288	8	perform	perform	VERB
brj-23138	288	9	best	well	ADV
brj-23138	288	10	on	on	ADP
brj-23138	288	11	all	all	DET
brj-23138	288	12	reduced	reduced	ADJ
brj-23138	288	13	dimensionality	dimensionality	NOUN
brj-23138	288	14	datasets	dataset	NOUN
brj-23138	288	15	,	,	PUNCT
brj-23138	288	16	but	but	CCONJ
brj-23138	288	17	rather	rather	ADV
brj-23138	288	18	that	that	DET
brj-23138	288	19	svm	svm	PROPN
brj-23138	288	20	happens	happen	VERB
brj-23138	288	21	to	to	PART
brj-23138	288	22	have	have	VERB
brj-23138	288	23	an	an	DET
brj-23138	288	24	advantage	advantage	NOUN
brj-23138	288	25	relative	relative	ADJ
brj-23138	288	26	to	to	ADP
brj-23138	288	27	the	the	DET
brj-23138	288	28	particular	particular	ADJ
brj-23138	288	29	data	datum	NOUN
brj-23138	288	30	and	and	CCONJ
brj-23138	288	31	task	task	NOUN
brj-23138	288	32	of	of	ADP
brj-23138	288	33	the	the	DET
brj-23138	288	34	moment	moment	NOUN
brj-23138	288	35	.	.	PUNCT
brj-23138	289	1	consequently	consequently	ADV
brj-23138	289	2	,	,	PUNCT
brj-23138	289	3	svm	svm	PROPN
brj-23138	289	4	was	be	AUX
brj-23138	289	5	shown	show	VERB
brj-23138	289	6	to	to	PART
brj-23138	289	7	be	be	AUX
brj-23138	289	8	more	more	ADV
brj-23138	289	9	appropriate	appropriate	ADJ
brj-23138	289	10	for	for	ADP
brj-23138	289	11	the	the	DET
brj-23138	289	12	qualitative	qualitative	ADJ
brj-23138	289	13	discrimination	discrimination	NOUN
brj-23138	289	14	of	of	ADP
brj-23138	289	15	maize	maize	NOUN
brj-23138	289	16	silage	silage	NOUN
brj-23138	289	17	quality	quality	NOUN
brj-23138	289	18	.	.	PUNCT
brj-23138	290	1	conclusions	conclusion	NOUN
brj-23138	290	2	1	1	X
brj-23138	290	3	.	.	PUNCT
brj-23138	291	1	this	this	DET
brj-23138	291	2	study	study	NOUN
brj-23138	291	3	verified	verify	VERB
brj-23138	291	4	that	that	SCONJ
brj-23138	291	5	integrating	integrate	VERB
brj-23138	291	6	colorimetric	colorimetric	ADJ
brj-23138	291	7	visualization	visualization	NOUN
brj-23138	291	8	sensor	sensor	NOUN
brj-23138	291	9	technology	technology	NOUN
brj-23138	291	10	with	with	ADP
brj-23138	291	11	appropriate	appropriate	ADJ
brj-23138	291	12	chemometrics	chemometric	NOUN
brj-23138	291	13	can	can	AUX
brj-23138	291	14	enable	enable	VERB
brj-23138	291	15	high	high	ADJ
brj-23138	291	16	-	-	PUNCT
brj-23138	291	17	precision	precision	NOUN
brj-23138	291	18	quality	quality	NOUN
brj-23138	291	19	discrimination	discrimination	NOUN
brj-23138	291	20	of	of	ADP
brj-23138	291	21	maize	maize	NOUN
brj-23138	291	22	silage	silage	NOUN
brj-23138	291	23	.	.	PUNCT
brj-23138	292	1	peer	peer	NOUN
brj-23138	292	2	-	-	PUNCT
brj-23138	292	3	reviewed	review	VERB
brj-23138	292	4	article	article	NOUN
brj-23138	292	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	292	6	tao	tao	PROPN
brj-23138	292	7	et	et	PROPN
brj-23138	292	8	al	al	PROPN
brj-23138	292	9	.	.	PROPN
brj-23138	293	1	(	(	PUNCT
brj-23138	293	2	2024	2024	NUM
brj-23138	293	3	)	)	PUNCT
brj-23138	293	4	.	.	PUNCT
brj-23138	294	1	“	"	PUNCT
brj-23138	294	2	maize	maize	VERB
brj-23138	294	3	silage	silage	NOUN
brj-23138	294	4	quality	quality	NOUN
brj-23138	294	5	testing	testing	NOUN
brj-23138	294	6	,	,	PUNCT
brj-23138	294	7	”	"	PUNCT
brj-23138	294	8	bioresources	bioresource	NOUN
brj-23138	294	9	19(2	19(2	NUM
brj-23138	294	10	)	)	PUNCT
brj-23138	294	11	,	,	PUNCT
brj-23138	294	12	3597	3597	NUM
brj-23138	294	13	-	-	SYM
brj-23138	294	14	3613	3613	NUM
brj-23138	294	15	.	.	PUNCT
brj-23138	295	1	3611	3611	NUM
brj-23138	295	2	2	2	NUM
brj-23138	295	3	.	.	PUNCT
brj-23138	296	1	the	the	DET
brj-23138	296	2	study	study	NOUN
brj-23138	296	3	fabricated	fabricate	VERB
brj-23138	296	4	a	a	DET
brj-23138	296	5	novel	novel	ADJ
brj-23138	296	6	olfactory	olfactory	NOUN
brj-23138	296	7	visualization	visualization	NOUN
brj-23138	296	8	sensor	sensor	NOUN
brj-23138	296	9	system	system	NOUN
brj-23138	296	10	using	use	VERB
brj-23138	296	11	12	12	NUM
brj-23138	296	12	colorsensitive	colorsensitive	ADJ
brj-23138	296	13	materials	material	NOUN
brj-23138	296	14	,	,	PUNCT
brj-23138	296	15	which	which	PRON
brj-23138	296	16	were	be	AUX
brj-23138	296	17	used	use	VERB
brj-23138	296	18	to	to	PART
brj-23138	296	19	form	form	VERB
brj-23138	296	20	different	different	ADJ
brj-23138	296	21	odor	odor	NOUN
brj-23138	296	22	fingerprints	fingerprint	NOUN
brj-23138	296	23	by	by	ADP
brj-23138	296	24	sensitively	sensitively	ADV
brj-23138	296	25	cross	cross	ADJ
brj-23138	296	26	-	-	ADJ
brj-23138	296	27	reacting	react	VERB
brj-23138	296	28	the	the	DET
brj-23138	296	29	sensors	sensor	NOUN
brj-23138	296	30	with	with	ADP
brj-23138	296	31	indicative	indicative	ADJ
brj-23138	296	32	volatile	volatile	ADJ
brj-23138	296	33	compounds	compound	NOUN
brj-23138	296	34	released	release	VERB
brj-23138	296	35	from	from	ADP
brj-23138	296	36	maize	maize	NOUN
brj-23138	296	37	silage	silage	NOUN
brj-23138	296	38	feed	feed	NOUN
brj-23138	296	39	during	during	ADP
brj-23138	296	40	aerobic	aerobic	ADJ
brj-23138	296	41	exposure	exposure	NOUN
brj-23138	296	42	.	.	PUNCT
brj-23138	297	1	3	3	X
brj-23138	297	2	.	.	X
brj-23138	297	3	rapid	rapid	ADJ
brj-23138	297	4	,	,	PUNCT
brj-23138	297	5	reliable	reliable	ADJ
brj-23138	297	6	,	,	PUNCT
brj-23138	297	7	and	and	CCONJ
brj-23138	297	8	non	non	ADJ
brj-23138	297	9	-	-	ADJ
brj-23138	297	10	destructive	destructive	ADJ
brj-23138	297	11	discrimination	discrimination	NOUN
brj-23138	297	12	of	of	ADP
brj-23138	297	13	maize	maize	NOUN
brj-23138	297	14	silage	silage	NOUN
brj-23138	297	15	based	base	VERB
brj-23138	297	16	on	on	ADP
brj-23138	297	17	these	these	DET
brj-23138	297	18	fingerprints	fingerprint	NOUN
brj-23138	297	19	was	be	AUX
brj-23138	297	20	integrated	integrate	VERB
brj-23138	297	21	with	with	ADP
brj-23138	297	22	chemometric	chemometric	ADJ
brj-23138	297	23	methods	method	NOUN
brj-23138	297	24	(	(	PUNCT
brj-23138	297	25	pca	pca	PROPN
brj-23138	297	26	,	,	PUNCT
brj-23138	297	27	elm	elm	PROPN
brj-23138	297	28	,	,	PUNCT
brj-23138	297	29	svm	svm	NOUN
brj-23138	297	30	,	,	PUNCT
brj-23138	297	31	rf	rf	NOUN
brj-23138	297	32	)	)	PUNCT
brj-23138	297	33	.	.	PUNCT
brj-23138	298	1	the	the	DET
brj-23138	298	2	svm	svm	PROPN
brj-23138	298	3	approach	approach	NOUN
brj-23138	298	4	was	be	AUX
brj-23138	298	5	shown	show	VERB
brj-23138	298	6	to	to	PART
brj-23138	298	7	be	be	AUX
brj-23138	298	8	superior	superior	ADJ
brj-23138	298	9	to	to	ADP
brj-23138	298	10	the	the	DET
brj-23138	298	11	other	other	ADJ
brj-23138	298	12	models	model	NOUN
brj-23138	298	13	,	,	PUNCT
brj-23138	298	14	indicating	indicate	VERB
brj-23138	298	15	a	a	DET
brj-23138	298	16	preferable	preferable	ADJ
brj-23138	298	17	generalization	generalization	NOUN
brj-23138	298	18	ability	ability	NOUN
brj-23138	298	19	.	.	PUNCT
brj-23138	299	1	4	4	X
brj-23138	299	2	.	.	X
brj-23138	299	3	the	the	DET
brj-23138	299	4	results	result	NOUN
brj-23138	299	5	can	can	AUX
brj-23138	299	6	provide	provide	VERB
brj-23138	299	7	high	high	ADJ
brj-23138	299	8	-	-	PUNCT
brj-23138	299	9	precision	precision	NOUN
brj-23138	299	10	technical	technical	ADJ
brj-23138	299	11	support	support	NOUN
brj-23138	299	12	for	for	ADP
brj-23138	299	13	quality	quality	NOUN
brj-23138	299	14	identification	identification	NOUN
brj-23138	299	15	of	of	ADP
brj-23138	299	16	maize	maize	NOUN
brj-23138	299	17	silage	silage	NOUN
brj-23138	299	18	,	,	PUNCT
brj-23138	299	19	having	have	VERB
brj-23138	299	20	promising	promising	ADJ
brj-23138	299	21	prospects	prospect	NOUN
brj-23138	299	22	for	for	ADP
brj-23138	299	23	practical	practical	ADJ
brj-23138	299	24	applications	application	NOUN
brj-23138	299	25	.	.	PUNCT
brj-23138	300	1	acknowledgments	acknowledgment	NOUN
brj-23138	300	2	this	this	DET
brj-23138	300	3	study	study	NOUN
brj-23138	300	4	was	be	AUX
brj-23138	300	5	supported	support	VERB
brj-23138	300	6	by	by	ADP
brj-23138	300	7	the	the	DET
brj-23138	300	8	national	national	ADJ
brj-23138	300	9	natural	natural	PROPN
brj-23138	300	10	science	science	PROPN
brj-23138	300	11	foundation	foundation	PROPN
brj-23138	300	12	of	of	ADP
brj-23138	300	13	china	china	PROPN
brj-23138	300	14	(	(	PUNCT
brj-23138	300	15	32071893	32071893	NUM
brj-23138	300	16	)	)	PUNCT
brj-23138	300	17	;	;	PUNCT
brj-23138	300	18	the	the	DET
brj-23138	300	19	science	science	NOUN
brj-23138	300	20	and	and	CCONJ
brj-23138	300	21	technology	technology	NOUN
brj-23138	300	22	program	program	NOUN
brj-23138	300	23	project	project	NOUN
brj-23138	300	24	of	of	ADP
brj-23138	300	25	inner	inner	PROPN
brj-23138	300	26	mongolia	mongolia	PROPN
brj-23138	300	27	autonomous	autonomous	PROPN
brj-23138	300	28	region	region	PROPN
brj-23138	300	29	(	(	PUNCT
brj-23138	300	30	2022yfdz0024	2022yfdz0024	NUM
brj-23138	300	31	)	)	PUNCT
brj-23138	300	32	;	;	PUNCT
brj-23138	300	33	the	the	DET
brj-23138	300	34	natural	natural	ADJ
brj-23138	300	35	science	science	NOUN
brj-23138	300	36	foundation	foundation	NOUN
brj-23138	300	37	of	of	ADP
brj-23138	300	38	inner	inner	PROPN
brj-23138	300	39	mongolia	mongolia	PROPN
brj-23138	300	40	autonomous	autonomous	PROPN
brj-23138	300	41	region	region	PROPN
brj-23138	300	42	(	(	PUNCT
brj-23138	300	43	2023ms03044	2023ms03044	NUM
brj-23138	300	44	)	)	PUNCT
brj-23138	300	45	;	;	PUNCT
brj-23138	300	46	the	the	DET
brj-23138	300	47	postgraduate	postgraduate	NOUN
brj-23138	300	48	research	research	NOUN
brj-23138	300	49	innovation	innovation	NOUN
brj-23138	300	50	program	program	NOUN
brj-23138	300	51	of	of	ADP
brj-23138	300	52	inner	inner	PROPN
brj-23138	300	53	mongolia	mongolia	PROPN
brj-23138	300	54	autonomous	autonomous	PROPN
brj-23138	300	55	region	region	PROPN
brj-23138	300	56	(	(	PUNCT
brj-23138	300	57	dc2300002028	dc2300002028	PROPN
brj-23138	300	58	)	)	PUNCT
brj-23138	300	59	;	;	PUNCT
brj-23138	300	60	the	the	DET
brj-23138	300	61	innovation	innovation	NOUN
brj-23138	300	62	training	training	NOUN
brj-23138	300	63	program	program	NOUN
brj-23138	300	64	for	for	ADP
brj-23138	300	65	college	college	NOUN
brj-23138	300	66	students	student	NOUN
brj-23138	300	67	of	of	ADP
brj-23138	300	68	inner	inner	PROPN
brj-23138	300	69	mongolia	mongolia	PROPN
brj-23138	300	70	autonomous	autonomous	PROPN
brj-23138	300	71	region	region	PROPN
brj-23138	300	72	(	(	PUNCT
brj-23138	300	73	202310129026	202310129026	NUM
brj-23138	300	74	)	)	PUNCT
brj-23138	300	75	.	.	PUNCT
brj-23138	301	1	references	reference	NOUN
brj-23138	301	2	cited	cite	VERB
brj-23138	301	3	ávila	ávila	PROPN
brj-23138	301	4	,	,	PUNCT
brj-23138	301	5	c.	c.	PROPN
brj-23138	301	6	l.	l.	PROPN
brj-23138	301	7	s.	s.	PROPN
brj-23138	301	8	,	,	PUNCT
brj-23138	301	9	and	and	CCONJ
brj-23138	301	10	carvalho	carvalho	PROPN
brj-23138	301	11	,	,	PUNCT
brj-23138	301	12	b.	b.	PROPN
brj-23138	301	13	f.	f.	PROPN
brj-23138	301	14	(	(	PUNCT
brj-23138	301	15	2020	2020	NUM
brj-23138	301	16	)	)	PUNCT
brj-23138	301	17	.	.	PUNCT
brj-23138	302	1	“	"	PUNCT
brj-23138	302	2	silage	silage	NOUN
brj-23138	302	3	fermentation	fermentation	NOUN
brj-23138	302	4	—	—	PUNCT
brj-23138	302	5	updates	update	VERB
brj-23138	302	6	focusing	focus	VERB
brj-23138	302	7	on	on	ADP
brj-23138	302	8	the	the	DET
brj-23138	302	9	performance	performance	NOUN
brj-23138	302	10	of	of	ADP
brj-23138	302	11	micro‐organisms	micro‐organism	NOUN
brj-23138	302	12	,	,	PUNCT
brj-23138	302	13	”	"	PUNCT
brj-23138	302	14	journal	journal	NOUN
brj-23138	302	15	of	of	ADP
brj-23138	302	16	applied	apply	VERB
brj-23138	302	17	microbiology	microbiology	NOUN
brj-23138	302	18	128	128	NUM
brj-23138	302	19	,	,	PUNCT
brj-23138	302	20	966984	966984	NUM
brj-23138	302	21	.	.	PUNCT
brj-23138	303	1	doi	doi	NOUN
brj-23138	303	2	:	:	PUNCT
brj-23138	303	3	10.1111	10.1111	NUM
brj-23138	303	4	/	/	SYM
brj-23138	303	5	jam.14450	jam.14450	NUM
brj-23138	303	6	borreani	borreani	PROPN
brj-23138	303	7	,	,	PUNCT
brj-23138	303	8	g.	g.	PROPN
brj-23138	303	9	,	,	PUNCT
brj-23138	303	10	tabacco	tabacco	PROPN
brj-23138	303	11	,	,	PUNCT
brj-23138	303	12	e.	e.	PROPN
brj-23138	303	13	,	,	PUNCT
brj-23138	303	14	schmidt	schmidt	PROPN
brj-23138	303	15	,	,	PUNCT
brj-23138	303	16	r.	r.	PROPN
brj-23138	303	17	j.	j.	PROPN
brj-23138	303	18	,	,	PUNCT
brj-23138	303	19	holmes	holmes	PROPN
brj-23138	303	20	,	,	PUNCT
brj-23138	303	21	b.	b.	PROPN
brj-23138	303	22	j.	j.	PROPN
brj-23138	303	23	,	,	PUNCT
brj-23138	303	24	and	and	CCONJ
brj-23138	303	25	muck	muck	NOUN
brj-23138	303	26	,	,	PUNCT
brj-23138	303	27	r.	r.	PROPN
brj-23138	303	28	e.	e.	PROPN
brj-23138	303	29	(	(	PUNCT
brj-23138	303	30	2018	2018	NUM
brj-23138	303	31	)	)	PUNCT
brj-23138	303	32	.	.	PUNCT
brj-23138	304	1	“	"	PUNCT
brj-23138	304	2	silage	silage	NOUN
brj-23138	304	3	review	review	NOUN
brj-23138	304	4	:	:	PUNCT
brj-23138	304	5	factors	factor	NOUN
brj-23138	304	6	affecting	affect	VERB
brj-23138	304	7	dry	dry	ADJ
brj-23138	304	8	matter	matter	NOUN
brj-23138	304	9	and	and	CCONJ
brj-23138	304	10	quality	quality	NOUN
brj-23138	304	11	losses	loss	NOUN
brj-23138	304	12	in	in	ADP
brj-23138	304	13	silages	silage	NOUN
brj-23138	304	14	,	,	PUNCT
brj-23138	304	15	”	"	PUNCT
brj-23138	304	16	journal	journal	NOUN
brj-23138	304	17	of	of	ADP
brj-23138	304	18	dairy	dairy	NOUN
brj-23138	304	19	science	science	NOUN
brj-23138	304	20	101	101	NUM
brj-23138	304	21	,	,	PUNCT
brj-23138	304	22	3952	3952	NUM
brj-23138	304	23	-	-	SYM
brj-23138	304	24	3979	3979	NUM
brj-23138	304	25	.	.	PUNCT
brj-23138	305	1	doi	doi	NOUN
brj-23138	305	2	:	:	PUNCT
brj-23138	305	3	10.3168	10.3168	NUM
brj-23138	305	4	/	/	SYM
brj-23138	305	5	jds.2017	jds.2017	NUM
brj-23138	305	6	-	-	PUNCT
brj-23138	305	7	13837	13837	NUM
brj-23138	305	8	bouboulis	bouboulis	NOUN
brj-23138	305	9	,	,	PUNCT
brj-23138	305	10	p.	p.	PROPN
brj-23138	305	11	,	,	PUNCT
brj-23138	305	12	theodoridis	theodoridis	PROPN
brj-23138	305	13	,	,	PUNCT
brj-23138	305	14	s.	s.	PROPN
brj-23138	305	15	,	,	PUNCT
brj-23138	305	16	mavroforakis	mavroforakis	PROPN
brj-23138	305	17	,	,	PUNCT
brj-23138	305	18	c.	c.	PROPN
brj-23138	305	19	,	,	PUNCT
brj-23138	305	20	and	and	CCONJ
brj-23138	305	21	dalla	dalla	PROPN
brj-23138	305	22	,	,	PUNCT
brj-23138	305	23	l.	l.	PROPN
brj-23138	305	24	(	(	PUNCT
brj-23138	305	25	2015	2015	NUM
brj-23138	305	26	)	)	PUNCT
brj-23138	305	27	.	.	PUNCT
brj-23138	306	1	“	"	PUNCT
brj-23138	306	2	complex	complex	ADJ
brj-23138	306	3	support	support	NOUN
brj-23138	306	4	vector	vector	NOUN
brj-23138	306	5	machines	machine	NOUN
brj-23138	306	6	for	for	ADP
brj-23138	306	7	regression	regression	NOUN
brj-23138	306	8	and	and	CCONJ
brj-23138	306	9	quaternary	quaternary	ADJ
brj-23138	306	10	classification	classification	NOUN
brj-23138	306	11	,	,	PUNCT
brj-23138	306	12	”	"	PUNCT
brj-23138	306	13	ieee	ieee	NOUN
brj-23138	306	14	transactions	transaction	NOUN
brj-23138	306	15	on	on	ADP
brj-23138	306	16	neural	neural	ADJ
brj-23138	306	17	networks	network	NOUN
brj-23138	306	18	and	and	CCONJ
brj-23138	306	19	learning	learn	VERB
brj-23138	306	20	systems	system	NOUN
brj-23138	306	21	26	26	NUM
brj-23138	306	22	,	,	PUNCT
brj-23138	306	23	1260	1260	NUM
brj-23138	306	24	-	-	SYM
brj-23138	306	25	1274	1274	NUM
brj-23138	306	26	.	.	PUNCT
brj-23138	307	1	doi	doi	NOUN
brj-23138	307	2	:	:	PUNCT
brj-23138	307	3	10.1109	10.1109	NUM
brj-23138	307	4	/	/	SYM
brj-23138	307	5	tnnls.2014.2336679	tnnls.2014.2336679	PROPN
brj-23138	307	6	dou	dou	NOUN
brj-23138	307	7	,	,	PUNCT
brj-23138	307	8	w.-t	w.-t	NOUN
brj-23138	307	9	.	.	PUNCT
brj-23138	307	10	,	,	PUNCT
brj-23138	307	11	han	han	PROPN
brj-23138	307	12	,	,	PUNCT
brj-23138	307	13	h.-h	h.-h	NOUN
brj-23138	307	14	.	.	PUNCT
brj-23138	307	15	,	,	PUNCT
brj-23138	307	16	sedgwick	sedgwick	PROPN
brj-23138	307	17	,	,	PUNCT
brj-23138	307	18	a.	a.	PROPN
brj-23138	307	19	c.	c.	PROPN
brj-23138	307	20	,	,	PUNCT
brj-23138	307	21	zhu	zhu	PROPN
brj-23138	307	22	,	,	PUNCT
brj-23138	307	23	g.-b	g.-b	PROPN
brj-23138	307	24	.	.	PROPN
brj-23138	307	25	,	,	PUNCT
brj-23138	307	26	zang	zang	PROPN
brj-23138	307	27	,	,	PUNCT
brj-23138	307	28	y.	y.	PROPN
brj-23138	307	29	,	,	PUNCT
brj-23138	307	30	yang	yang	PROPN
brj-23138	307	31	,	,	PUNCT
brj-23138	307	32	x.-r	x.-r	PROPN
brj-23138	307	33	.	.	PROPN
brj-23138	307	34	,	,	PUNCT
brj-23138	307	35	yoon	yoon	PROPN
brj-23138	307	36	,	,	PUNCT
brj-23138	307	37	j.	j.	PROPN
brj-23138	307	38	,	,	PUNCT
brj-23138	307	39	james	james	PROPN
brj-23138	307	40	,	,	PUNCT
brj-23138	307	41	t.	t.	PROPN
brj-23138	307	42	d.	d.	PROPN
brj-23138	307	43	,	,	PUNCT
brj-23138	307	44	li	li	PROPN
brj-23138	307	45	,	,	PUNCT
brj-23138	307	46	j.	j.	PROPN
brj-23138	307	47	,	,	PUNCT
brj-23138	307	48	and	and	CCONJ
brj-23138	307	49	he	he	PRON
brj-23138	307	50	,	,	PUNCT
brj-23138	307	51	x.-p	x.-p	PROPN
brj-23138	307	52	.	.	PUNCT
brj-23138	308	1	(	(	PUNCT
brj-23138	308	2	2022	2022	NUM
brj-23138	308	3	)	)	PUNCT
brj-23138	308	4	.	.	PUNCT
brj-23138	309	1	“	"	PUNCT
brj-23138	309	2	fluorescent	fluorescent	ADJ
brj-23138	309	3	probes	probe	NOUN
brj-23138	309	4	for	for	ADP
brj-23138	309	5	the	the	DET
brj-23138	309	6	detection	detection	NOUN
brj-23138	309	7	of	of	ADP
brj-23138	309	8	disease	disease	NOUN
brj-23138	309	9	-	-	PUNCT
brj-23138	309	10	associated	associate	VERB
brj-23138	309	11	biomarkers	biomarker	NOUN
brj-23138	309	12	,	,	PUNCT
brj-23138	309	13	”	"	PUNCT
brj-23138	309	14	science	science	NOUN
brj-23138	309	15	bulletin	bulletin	NOUN
brj-23138	309	16	67	67	NUM
brj-23138	309	17	,	,	PUNCT
brj-23138	309	18	853	853	NUM
brj-23138	309	19	-	-	SYM
brj-23138	309	20	878	878	NUM
brj-23138	309	21	.	.	PUNCT
brj-23138	309	22	doi	doi	NOUN
brj-23138	309	23	:	:	PUNCT
brj-23138	309	24	10.1016	10.1016	NUM
brj-23138	309	25	/	/	SYM
brj-23138	309	26	j.scib.2022.01.014	j.scib.2022.01.014	PROPN
brj-23138	309	27	gallo	gallo	PROPN
brj-23138	309	28	,	,	PUNCT
brj-23138	309	29	a.	a.	NOUN
brj-23138	309	30	,	,	PUNCT
brj-23138	309	31	giuberti	giuberti	NOUN
brj-23138	309	32	,	,	PUNCT
brj-23138	309	33	g.	g.	PROPN
brj-23138	309	34	,	,	PUNCT
brj-23138	309	35	bruschi	bruschi	PROPN
brj-23138	309	36	,	,	PUNCT
brj-23138	309	37	s.	s.	PROPN
brj-23138	309	38	,	,	PUNCT
brj-23138	309	39	fortunati	fortunati	NOUN
brj-23138	309	40	,	,	PUNCT
brj-23138	309	41	p.	p.	NOUN
brj-23138	309	42	,	,	PUNCT
brj-23138	309	43	and	and	CCONJ
brj-23138	309	44	masoero	masoero	PROPN
brj-23138	309	45	,	,	PUNCT
brj-23138	309	46	f.	f.	PROPN
brj-23138	309	47	(	(	PUNCT
brj-23138	309	48	2016	2016	NUM
brj-23138	309	49	)	)	PUNCT
brj-23138	309	50	.	.	PUNCT
brj-23138	310	1	“	"	PUNCT
brj-23138	310	2	use	use	NOUN
brj-23138	310	3	of	of	ADP
brj-23138	310	4	principal	principal	ADJ
brj-23138	310	5	factor	factor	NOUN
brj-23138	310	6	analysis	analysis	NOUN
brj-23138	310	7	to	to	PART
brj-23138	310	8	generate	generate	VERB
brj-23138	310	9	a	a	DET
brj-23138	310	10	corn	corn	NOUN
brj-23138	310	11	silage	silage	NOUN
brj-23138	310	12	fermentative	fermentative	ADJ
brj-23138	310	13	quality	quality	NOUN
brj-23138	310	14	index	index	NOUN
brj-23138	310	15	to	to	PART
brj-23138	310	16	rank	rank	VERB
brj-23138	310	17	well‐	well‐	NUM
brj-23138	310	18	or	or	CCONJ
brj-23138	310	19	poorly	poorly	ADV
brj-23138	310	20	preserved	preserve	VERB
brj-23138	310	21	forages	forage	NOUN
brj-23138	310	22	,	,	PUNCT
brj-23138	310	23	”	"	PUNCT
brj-23138	310	24	journal	journal	NOUN
brj-23138	310	25	of	of	ADP
brj-23138	310	26	the	the	DET
brj-23138	310	27	science	science	NOUN
brj-23138	310	28	of	of	ADP
brj-23138	310	29	food	food	NOUN
brj-23138	310	30	and	and	CCONJ
brj-23138	310	31	agriculture	agriculture	NOUN
brj-23138	310	32	96	96	NUM
brj-23138	310	33	,	,	PUNCT
brj-23138	310	34	1686	1686	NUM
brj-23138	310	35	-	-	SYM
brj-23138	310	36	1696	1696	NUM
brj-23138	310	37	.	.	PUNCT
brj-23138	311	1	doi	doi	NOUN
brj-23138	311	2	:	:	PUNCT
brj-23138	311	3	10.1002	10.1002	NUM
brj-23138	311	4	/	/	SYM
brj-23138	311	5	jsfa.7272	jsfa.7272	PROPN
brj-23138	311	6	garcia	garcia	PROPN
brj-23138	311	7	-	-	PUNCT
brj-23138	311	8	chavez	chavez	PROPN
brj-23138	311	9	,	,	PUNCT
brj-23138	311	10	i.	i.	PROPN
brj-23138	311	11	,	,	PUNCT
brj-23138	311	12	meraz	meraz	PROPN
brj-23138	311	13	-	-	PUNCT
brj-23138	311	14	romero	romero	PROPN
brj-23138	311	15	,	,	PUNCT
brj-23138	311	16	e.	e.	PROPN
brj-23138	311	17	,	,	PUNCT
brj-23138	311	18	castelan	castelan	PROPN
brj-23138	311	19	-	-	PUNCT
brj-23138	311	20	ortega	ortega	PROPN
brj-23138	311	21	,	,	PUNCT
brj-23138	311	22	o.	o.	PROPN
brj-23138	311	23	,	,	PUNCT
brj-23138	311	24	zaragoza	zaragoza	PROPN
brj-23138	311	25	-	-	PUNCT
brj-23138	311	26	esparza	esparza	PROPN
brj-23138	311	27	,	,	PUNCT
brj-23138	311	28	j.	j.	PROPN
brj-23138	311	29	,	,	PUNCT
brj-23138	311	30	avalos	avalos	PROPN
brj-23138	311	31	,	,	PUNCT
brj-23138	311	32	j.	j.	PROPN
brj-23138	311	33	o.	o.	PROPN
brj-23138	311	34	,	,	PUNCT
brj-23138	311	35	jimenez	jimenez	PROPN
brj-23138	311	36	,	,	PUNCT
brj-23138	311	37	l.	l.	PROPN
brj-23138	311	38	e.	e.	PROPN
brj-23138	311	39	r.	r.	PROPN
brj-23138	311	40	,	,	PUNCT
brj-23138	311	41	and	and	CCONJ
brj-23138	311	42	gonzalez	gonzalez	PROPN
brj-23138	311	43	-	-	PUNCT
brj-23138	311	44	ronquillo	ronquillo	PROPN
brj-23138	311	45	,	,	PUNCT
brj-23138	311	46	m.	m.	NOUN
brj-23138	311	47	(	(	PUNCT
brj-23138	311	48	2022	2022	NUM
brj-23138	311	49	)	)	PUNCT
brj-23138	311	50	.	.	PUNCT
brj-23138	312	1	“	"	PUNCT
brj-23138	312	2	corn	corn	NOUN
brj-23138	312	3	silage	silage	NOUN
brj-23138	312	4	,	,	PUNCT
brj-23138	312	5	a	a	DET
brj-23138	312	6	systematic	systematic	ADJ
brj-23138	312	7	review	review	NOUN
brj-23138	312	8	of	of	ADP
brj-23138	312	9	the	the	DET
brj-23138	312	10	quality	quality	NOUN
brj-23138	312	11	and	and	CCONJ
brj-23138	312	12	yield	yield	NOUN
brj-23138	312	13	in	in	ADP
brj-23138	312	14	different	different	ADJ
brj-23138	312	15	regions	region	NOUN
brj-23138	312	16	around	around	ADP
brj-23138	312	17	the	the	DET
brj-23138	312	18	world	world	NOUN
brj-23138	312	19	,	,	PUNCT
brj-23138	312	20	”	"	PUNCT
brj-23138	312	21	revista	revista	PROPN
brj-23138	312	22	corpoica	corpoica	PROPN
brj-23138	312	23	-	-	PUNCT
brj-23138	312	24	ciencia	ciencia	PROPN
brj-23138	312	25	y	y	PROPN
brj-23138	312	26	tecnologia	tecnologia	PROPN
brj-23138	312	27	agropecuaria	agropecuaria	PROPN
brj-23138	312	28	23	23	NUM
brj-23138	312	29	,	,	PUNCT
brj-23138	312	30	article	article	NOUN
brj-23138	312	31	e2547	e2547	PROPN
brj-23138	312	32	.	.	PUNCT
brj-23138	312	33	doi	doi	PROPN
brj-23138	312	34	:	:	PUNCT
brj-23138	312	35	10.21930	10.21930	NUM
brj-23138	312	36	/	/	SYM
brj-23138	312	37	rcta.vol23_num3_art:2547	rcta.vol23_num3_art:2547	ADJ
brj-23138	312	38	peer	peer	NOUN
brj-23138	312	39	-	-	PUNCT
brj-23138	312	40	reviewed	review	VERB
brj-23138	312	41	article	article	NOUN
brj-23138	312	42	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	312	43	tao	tao	PROPN
brj-23138	312	44	et	et	PROPN
brj-23138	312	45	al	al	PROPN
brj-23138	312	46	.	.	PROPN
brj-23138	313	1	(	(	PUNCT
brj-23138	313	2	2024	2024	NUM
brj-23138	313	3	)	)	PUNCT
brj-23138	313	4	.	.	PUNCT
brj-23138	314	1	“	"	PUNCT
brj-23138	314	2	maize	maize	VERB
brj-23138	314	3	silage	silage	NOUN
brj-23138	314	4	quality	quality	NOUN
brj-23138	314	5	testing	testing	NOUN
brj-23138	314	6	,	,	PUNCT
brj-23138	314	7	”	"	PUNCT
brj-23138	314	8	bioresources	bioresource	NOUN
brj-23138	314	9	19(2	19(2	NUM
brj-23138	314	10	)	)	PUNCT
brj-23138	314	11	,	,	PUNCT
brj-23138	314	12	3597	3597	NUM
brj-23138	314	13	-	-	SYM
brj-23138	314	14	3613	3613	NUM
brj-23138	314	15	.	.	PUNCT
brj-23138	315	1	3612	3612	NUM
brj-23138	315	2	guo	guo	PROPN
brj-23138	315	3	,	,	PUNCT
brj-23138	315	4	t.	t.	PROPN
brj-23138	315	5	,	,	PUNCT
brj-23138	315	6	tan	tan	PROPN
brj-23138	315	7	,	,	PUNCT
brj-23138	315	8	x.	x.	NOUN
brj-23138	315	9	,	,	PUNCT
brj-23138	315	10	and	and	CCONJ
brj-23138	315	11	zhang	zhang	PROPN
brj-23138	315	12	,	,	PUNCT
brj-23138	315	13	l.	l.	PROPN
brj-23138	315	14	(	(	PUNCT
brj-23138	315	15	2019	2019	NUM
brj-23138	315	16	)	)	PUNCT
brj-23138	315	17	.	.	PUNCT
brj-23138	316	1	“	"	PUNCT
brj-23138	316	2	hierarchical	hierarchical	ADJ
brj-23138	316	3	pruning	pruning	NOUN
brj-23138	316	4	discriminative	discriminative	NOUN
brj-23138	316	5	extreme	extreme	ADJ
brj-23138	316	6	learning	learning	NOUN
brj-23138	316	7	machine	machine	NOUN
brj-23138	316	8	,	,	PUNCT
brj-23138	316	9	”	"	PUNCT
brj-23138	316	10	in	in	ADP
brj-23138	316	11	:	:	PUNCT
brj-23138	316	12	proceedings	proceeding	NOUN
brj-23138	316	13	of	of	ADP
brj-23138	316	14	elm-2017	elm-2017	NOUN
brj-23138	316	15	,	,	PUNCT
brj-23138	316	16	vol	vol	NOUN
brj-23138	316	17	.	.	PROPN
brj-23138	316	18	10	10	NUM
brj-23138	316	19	,	,	PUNCT
brj-23138	316	20	pp	pp	ADJ
brj-23138	316	21	.	.	PUNCT
brj-23138	317	1	230	230	NUM
brj-23138	317	2	-	-	SYM
brj-23138	317	3	239	239	NUM
brj-23138	317	4	,	,	PUNCT
brj-23138	317	5	springer	springer	NOUN
brj-23138	317	6	international	international	ADJ
brj-23138	317	7	publishing	publishing	NOUN
brj-23138	317	8	,	,	PUNCT
brj-23138	317	9	cham	cham	PROPN
brj-23138	317	10	.	.	PUNCT
brj-23138	318	1	doi	doi	NOUN
brj-23138	318	2	:	:	PUNCT
brj-23138	318	3	10.1007/978	10.1007/978	NUM
brj-23138	318	4	-	-	SYM
brj-23138	318	5	3	3	NUM
brj-23138	318	6	-	-	PUNCT
brj-23138	318	7	030	030	NUM
brj-23138	318	8	-	-	PUNCT
brj-23138	318	9	01520	01520	NUM
brj-23138	318	10	-	-	PUNCT
brj-23138	318	11	6_21	6_21	NUM
brj-23138	318	12	janzen	janzen	PROPN
brj-23138	318	13	,	,	PUNCT
brj-23138	318	14	m.	m.	PROPN
brj-23138	318	15	c.	c.	PROPN
brj-23138	318	16	,	,	PUNCT
brj-23138	318	17	ponder	ponder	VERB
brj-23138	318	18	,	,	PUNCT
brj-23138	318	19	j.	j.	PROPN
brj-23138	318	20	b.	b.	PROPN
brj-23138	318	21	,	,	PUNCT
brj-23138	318	22	bailey	bailey	PROPN
brj-23138	318	23	,	,	PUNCT
brj-23138	318	24	d.	d.	PROPN
brj-23138	318	25	p.	p.	PROPN
brj-23138	318	26	,	,	PUNCT
brj-23138	318	27	ingison	ingison	NOUN
brj-23138	318	28	,	,	PUNCT
brj-23138	318	29	c.	c.	PROPN
brj-23138	318	30	k.	k.	PROPN
brj-23138	318	31	,	,	PUNCT
brj-23138	318	32	and	and	CCONJ
brj-23138	318	33	suslick	suslick	NOUN
brj-23138	318	34	,	,	PUNCT
brj-23138	318	35	k.	k.	PROPN
brj-23138	318	36	s.	s.	PROPN
brj-23138	318	37	(	(	PUNCT
brj-23138	318	38	2006	2006	NUM
brj-23138	318	39	)	)	PUNCT
brj-23138	318	40	.	.	PUNCT
brj-23138	319	1	“	"	PUNCT
brj-23138	319	2	colorimetric	colorimetric	ADJ
brj-23138	319	3	sensor	sensor	NOUN
brj-23138	319	4	arrays	array	VERB
brj-23138	319	5	for	for	ADP
brj-23138	319	6	volatile	volatile	ADJ
brj-23138	319	7	organic	organic	ADJ
brj-23138	319	8	compounds	compound	NOUN
brj-23138	319	9	,	,	PUNCT
brj-23138	319	10	”	"	PUNCT
brj-23138	319	11	analytical	analytical	ADJ
brj-23138	319	12	chemistry	chemistry	NOUN
brj-23138	319	13	78	78	NUM
brj-23138	319	14	,	,	PUNCT
brj-23138	319	15	3591	3591	NUM
brj-23138	319	16	-	-	SYM
brj-23138	319	17	3600	3600	NUM
brj-23138	319	18	.	.	PUNCT
brj-23138	320	1	doi	doi	NOUN
brj-23138	320	2	:	:	PUNCT
brj-23138	320	3	10.1021	10.1021	NUM
brj-23138	320	4	/	/	SYM
brj-23138	320	5	ac052111s	ac052111s	PUNCT
brj-23138	320	6	jiang	jiang	PROPN
brj-23138	320	7	,	,	PUNCT
brj-23138	320	8	h.	h.	PROPN
brj-23138	320	9	,	,	PUNCT
brj-23138	320	10	xu	xu	PROPN
brj-23138	320	11	,	,	PUNCT
brj-23138	320	12	w.	w.	PROPN
brj-23138	320	13	,	,	PUNCT
brj-23138	320	14	and	and	CCONJ
brj-23138	320	15	chen	chen	PROPN
brj-23138	320	16	,	,	PUNCT
brj-23138	320	17	q.	q.	PROPN
brj-23138	320	18	(	(	PUNCT
brj-23138	320	19	2019	2019	NUM
brj-23138	320	20	)	)	PUNCT
brj-23138	320	21	.	.	PUNCT
brj-23138	321	1	“	"	PUNCT
brj-23138	321	2	evaluating	evaluate	VERB
brj-23138	321	3	aroma	aroma	NOUN
brj-23138	321	4	quality	quality	NOUN
brj-23138	321	5	of	of	ADP
brj-23138	321	6	black	black	ADJ
brj-23138	321	7	tea	tea	NOUN
brj-23138	321	8	by	by	ADP
brj-23138	321	9	an	an	DET
brj-23138	321	10	olfactory	olfactory	ADJ
brj-23138	321	11	visualization	visualization	NOUN
brj-23138	321	12	system	system	NOUN
brj-23138	321	13	:	:	PUNCT
brj-23138	321	14	selection	selection	NOUN
brj-23138	321	15	of	of	ADP
brj-23138	321	16	feature	feature	NOUN
brj-23138	321	17	sensor	sensor	NOUN
brj-23138	321	18	using	use	VERB
brj-23138	321	19	particle	particle	NOUN
brj-23138	321	20	swarm	swarm	NOUN
brj-23138	321	21	optimization	optimization	NOUN
brj-23138	321	22	,	,	PUNCT
brj-23138	321	23	”	"	PUNCT
brj-23138	321	24	food	food	NOUN
brj-23138	321	25	research	research	NOUN
brj-23138	321	26	international	international	ADJ
brj-23138	321	27	126	126	NUM
brj-23138	321	28	,	,	PUNCT
brj-23138	321	29	article	article	NOUN
brj-23138	321	30	108605	108605	NUM
brj-23138	321	31	.	.	PUNCT
brj-23138	322	1	doi	doi	NOUN
brj-23138	322	2	:	:	PUNCT
brj-23138	322	3	10.1016	10.1016	NUM
brj-23138	322	4	/	/	SYM
brj-23138	322	5	j.foodres.2019.108605	j.foodres.2019.108605	PROPN
brj-23138	322	6	jolliffe	jolliffe	PROPN
brj-23138	322	7	,	,	PUNCT
brj-23138	322	8	i.	i.	PROPN
brj-23138	322	9	t.	t.	PROPN
brj-23138	322	10	,	,	PUNCT
brj-23138	322	11	and	and	CCONJ
brj-23138	322	12	cadima	cadima	PROPN
brj-23138	322	13	,	,	PUNCT
brj-23138	322	14	j.	j.	PROPN
brj-23138	322	15	(	(	PUNCT
brj-23138	322	16	2016	2016	NUM
brj-23138	322	17	)	)	PUNCT
brj-23138	322	18	.	.	PUNCT
brj-23138	323	1	“	"	PUNCT
brj-23138	323	2	principal	principal	ADJ
brj-23138	323	3	component	component	NOUN
brj-23138	323	4	analysis	analysis	NOUN
brj-23138	323	5	:	:	PUNCT
brj-23138	323	6	a	a	DET
brj-23138	323	7	review	review	NOUN
brj-23138	323	8	and	and	CCONJ
brj-23138	323	9	recent	recent	ADJ
brj-23138	323	10	developments	development	NOUN
brj-23138	323	11	,	,	PUNCT
brj-23138	323	12	”	"	PUNCT
brj-23138	323	13	philosophical	philosophical	ADJ
brj-23138	323	14	transactions	transaction	NOUN
brj-23138	323	15	of	of	ADP
brj-23138	323	16	the	the	DET
brj-23138	323	17	royal	royal	ADJ
brj-23138	323	18	society	society	NOUN
brj-23138	323	19	a	a	DET
brj-23138	323	20	:	:	PUNCT
brj-23138	323	21	mathematical	mathematical	ADJ
brj-23138	323	22	,	,	PUNCT
brj-23138	323	23	physical	physical	ADJ
brj-23138	323	24	and	and	CCONJ
brj-23138	323	25	engineering	engineering	NOUN
brj-23138	323	26	sciences	science	NOUN
brj-23138	323	27	374	374	NUM
brj-23138	323	28	,	,	PUNCT
brj-23138	323	29	article	article	NOUN
brj-23138	323	30	20150202	20150202	NUM
brj-23138	323	31	.	.	PUNCT
brj-23138	324	1	doi	doi	NOUN
brj-23138	324	2	:	:	PUNCT
brj-23138	324	3	10.1098	10.1098	NUM
brj-23138	324	4	/	/	SYM
brj-23138	324	5	rsta.2015.0202	rsta.2015.0202	NOUN
brj-23138	324	6	karnatam	karnatam	NOUN
brj-23138	324	7	,	,	PUNCT
brj-23138	324	8	k.	k.	PROPN
brj-23138	324	9	s.	s.	PROPN
brj-23138	324	10	,	,	PUNCT
brj-23138	324	11	mythri	mythri	PROPN
brj-23138	324	12	,	,	PUNCT
brj-23138	324	13	b.	b.	PROPN
brj-23138	324	14	,	,	PUNCT
brj-23138	324	15	un	un	PROPN
brj-23138	324	16	nisa	nisa	PROPN
brj-23138	324	17	,	,	PUNCT
brj-23138	324	18	w.	w.	PROPN
brj-23138	324	19	,	,	PUNCT
brj-23138	324	20	sharma	sharma	PROPN
brj-23138	324	21	,	,	PUNCT
brj-23138	324	22	h.	h.	PROPN
brj-23138	324	23	,	,	PUNCT
brj-23138	324	24	meena	meena	PROPN
brj-23138	324	25	,	,	PUNCT
brj-23138	324	26	t.	t.	PROPN
brj-23138	324	27	k.	k.	PROPN
brj-23138	324	28	,	,	PUNCT
brj-23138	324	29	rana	rana	PROPN
brj-23138	324	30	,	,	PUNCT
brj-23138	324	31	p.	p.	NOUN
brj-23138	324	32	,	,	PUNCT
brj-23138	324	33	vikal	vikal	NOUN
brj-23138	324	34	,	,	PUNCT
brj-23138	324	35	y.	y.	PROPN
brj-23138	324	36	,	,	PUNCT
brj-23138	324	37	gowda	gowda	PROPN
brj-23138	324	38	,	,	PUNCT
brj-23138	324	39	m.	m.	NOUN
brj-23138	324	40	,	,	PUNCT
brj-23138	324	41	dhillon	dhillon	PROPN
brj-23138	324	42	,	,	PUNCT
brj-23138	324	43	b.	b.	PROPN
brj-23138	324	44	s.	s.	PROPN
brj-23138	324	45	,	,	PUNCT
brj-23138	324	46	and	and	CCONJ
brj-23138	324	47	sandhu	sandhu	NOUN
brj-23138	324	48	,	,	PUNCT
brj-23138	324	49	s.	s.	PROPN
brj-23138	324	50	(	(	PUNCT
brj-23138	324	51	2023	2023	NUM
brj-23138	324	52	)	)	PUNCT
brj-23138	324	53	.	.	PUNCT
brj-23138	325	1	“	"	PUNCT
brj-23138	325	2	silage	silage	NOUN
brj-23138	325	3	maize	maize	NOUN
brj-23138	325	4	as	as	ADP
brj-23138	325	5	a	a	DET
brj-23138	325	6	potent	potent	ADJ
brj-23138	325	7	candidate	candidate	NOUN
brj-23138	325	8	for	for	ADP
brj-23138	325	9	sustainable	sustainable	ADJ
brj-23138	325	10	animal	animal	NOUN
brj-23138	325	11	husbandry	husbandry	NOUN
brj-23138	325	12	development	development	NOUN
brj-23138	325	13	—	—	PUNCT
brj-23138	325	14	perspectives	perspective	NOUN
brj-23138	325	15	and	and	CCONJ
brj-23138	325	16	strategies	strategy	NOUN
brj-23138	325	17	for	for	ADP
brj-23138	325	18	genetic	genetic	ADJ
brj-23138	325	19	enhancement	enhancement	NOUN
brj-23138	325	20	,	,	PUNCT
brj-23138	325	21	”	"	PUNCT
brj-23138	325	22	frontiers	frontier	NOUN
brj-23138	325	23	in	in	ADP
brj-23138	325	24	genetics	genetic	NOUN
brj-23138	325	25	14	14	NUM
brj-23138	325	26	,	,	PUNCT
brj-23138	325	27	article	article	NOUN
brj-23138	325	28	1150132	1150132	NUM
brj-23138	325	29	.	.	PUNCT
brj-23138	326	1	doi	doi	NOUN
brj-23138	326	2	:	:	PUNCT
brj-23138	326	3	10.3389	10.3389	NUM
brj-23138	326	4	/	/	SYM
brj-23138	326	5	fgene.2023.1150132	fgene.2023.1150132	PROPN
brj-23138	326	6	kayacelebi	kayacelebi	PROPN
brj-23138	326	7	,	,	PUNCT
brj-23138	326	8	a.a	a.a	PROPN
brj-23138	326	9	.	.	PROPN
brj-23138	326	10	,	,	PUNCT
brj-23138	326	11	beckmann	beckmann	PROPN
brj-23138	326	12	,	,	PUNCT
brj-23138	326	13	b.	b.	PROPN
brj-23138	326	14	,	,	PUNCT
brj-23138	326	15	gutzki	gutzki	PROPN
brj-23138	326	16	,	,	PUNCT
brj-23138	326	17	f.-m	f.-m	PROPN
brj-23138	326	18	.	.	PROPN
brj-23138	326	19	,	,	PUNCT
brj-23138	326	20	jordan	jordan	PROPN
brj-23138	326	21	,	,	PUNCT
brj-23138	326	22	j.	j.	PROPN
brj-23138	326	23	,	,	PUNCT
brj-23138	326	24	and	and	CCONJ
brj-23138	326	25	tsikas	tsikas	PROPN
brj-23138	326	26	,	,	PUNCT
brj-23138	326	27	d.	d.	PROPN
brj-23138	326	28	(	(	PUNCT
brj-23138	326	29	2014	2014	NUM
brj-23138	326	30	)	)	PUNCT
brj-23138	326	31	.	.	PUNCT
brj-23138	327	1	“	"	PUNCT
brj-23138	327	2	gc	gc	PROPN
brj-23138	327	3	–	–	PUNCT
brj-23138	327	4	ms	ms	PROPN
brj-23138	327	5	and	and	CCONJ
brj-23138	327	6	gc	gc	PROPN
brj-23138	327	7	–	–	PUNCT
brj-23138	327	8	ms	ms	PROPN
brj-23138	327	9	/	/	SYM
brj-23138	327	10	ms	ms	PROPN
brj-23138	327	11	measurement	measurement	NOUN
brj-23138	327	12	of	of	ADP
brj-23138	327	13	the	the	DET
brj-23138	327	14	cardiovascular	cardiovascular	ADJ
brj-23138	327	15	risk	risk	NOUN
brj-23138	327	16	factor	factor	NOUN
brj-23138	327	17	homoarginine	homoarginine	NOUN
brj-23138	327	18	in	in	ADP
brj-23138	327	19	biological	biological	ADJ
brj-23138	327	20	samples	sample	NOUN
brj-23138	327	21	,	,	PUNCT
brj-23138	327	22	”	"	PUNCT
brj-23138	327	23	amino	amino	NOUN
brj-23138	327	24	acids	acid	NOUN
brj-23138	327	25	46	46	NUM
brj-23138	327	26	,	,	PUNCT
brj-23138	327	27	2205	2205	NUM
brj-23138	327	28	-	-	SYM
brj-23138	327	29	2217	2217	NUM
brj-23138	327	30	.	.	PUNCT
brj-23138	328	1	doi	doi	NOUN
brj-23138	328	2	:	:	PUNCT
brj-23138	328	3	10.1007	10.1007	NUM
brj-23138	328	4	/	/	SYM
brj-23138	328	5	s00726	s00726	NOUN
brj-23138	328	6	-	-	PUNCT
brj-23138	328	7	014	014	NUM
brj-23138	328	8	-	-	PUNCT
brj-23138	328	9	1774	1774	NUM
brj-23138	328	10	-	-	SYM
brj-23138	328	11	3	3	NUM
brj-23138	328	12	khan	khan	PROPN
brj-23138	328	13	,	,	PUNCT
brj-23138	328	14	n.	n.	PROPN
brj-23138	328	15	a.	a.	PROPN
brj-23138	328	16	,	,	PUNCT
brj-23138	328	17	yu	yu	PROPN
brj-23138	328	18	,	,	PUNCT
brj-23138	328	19	p.	p.	PROPN
brj-23138	328	20	,	,	PUNCT
brj-23138	328	21	ali	ali	PROPN
brj-23138	328	22	,	,	PUNCT
brj-23138	328	23	m.	m.	NOUN
brj-23138	328	24	,	,	PUNCT
brj-23138	328	25	cone	cone	NOUN
brj-23138	328	26	,	,	PUNCT
brj-23138	328	27	j.	j.	PROPN
brj-23138	328	28	w.	w.	PROPN
brj-23138	328	29	,	,	PUNCT
brj-23138	328	30	and	and	CCONJ
brj-23138	328	31	hendriks	hendriks	PROPN
brj-23138	328	32	,	,	PUNCT
brj-23138	328	33	w.	w.	PROPN
brj-23138	328	34	h.	h.	PROPN
brj-23138	328	35	(	(	PUNCT
brj-23138	328	36	2015	2015	NUM
brj-23138	328	37	)	)	PUNCT
brj-23138	328	38	.	.	PUNCT
brj-23138	329	1	“	"	PUNCT
brj-23138	329	2	nutritive	nutritive	VERB
brj-23138	329	3	value	value	NOUN
brj-23138	329	4	of	of	ADP
brj-23138	329	5	maize	maize	NOUN
brj-23138	329	6	silage	silage	NOUN
brj-23138	329	7	in	in	ADP
brj-23138	329	8	relation	relation	NOUN
brj-23138	329	9	to	to	ADP
brj-23138	329	10	dairy	dairy	NOUN
brj-23138	329	11	cow	cow	NOUN
brj-23138	329	12	performance	performance	NOUN
brj-23138	329	13	and	and	CCONJ
brj-23138	329	14	milk	milk	NOUN
brj-23138	329	15	quality	quality	NOUN
brj-23138	329	16	,	,	PUNCT
brj-23138	329	17	”	"	PUNCT
brj-23138	329	18	journal	journal	NOUN
brj-23138	329	19	of	of	ADP
brj-23138	329	20	the	the	DET
brj-23138	329	21	science	science	NOUN
brj-23138	329	22	of	of	ADP
brj-23138	329	23	food	food	NOUN
brj-23138	329	24	and	and	CCONJ
brj-23138	329	25	agriculture	agriculture	NOUN
brj-23138	329	26	95	95	NUM
brj-23138	329	27	,	,	PUNCT
brj-23138	329	28	238	238	NUM
brj-23138	329	29	-	-	SYM
brj-23138	329	30	252	252	NUM
brj-23138	329	31	.	.	PUNCT
brj-23138	330	1	doi	doi	NOUN
brj-23138	330	2	:	:	PUNCT
brj-23138	330	3	10.1002	10.1002	NUM
brj-23138	330	4	/	/	SYM
brj-23138	330	5	jsfa.6703	jsfa.6703	PROPN
brj-23138	330	6	kung	kung	PROPN
brj-23138	330	7	,	,	PUNCT
brj-23138	330	8	l.	l.	PROPN
brj-23138	330	9	,	,	PUNCT
brj-23138	330	10	shaver	shaver	PROPN
brj-23138	330	11	,	,	PUNCT
brj-23138	330	12	r.	r.	PROPN
brj-23138	330	13	d.	d.	PROPN
brj-23138	330	14	,	,	PUNCT
brj-23138	330	15	grant	grant	PROPN
brj-23138	330	16	,	,	PUNCT
brj-23138	330	17	r.	r.	PROPN
brj-23138	330	18	j.	j.	PROPN
brj-23138	330	19	,	,	PUNCT
brj-23138	330	20	and	and	CCONJ
brj-23138	330	21	schmidt	schmidt	PROPN
brj-23138	330	22	,	,	PUNCT
brj-23138	330	23	r.	r.	PROPN
brj-23138	330	24	j.	j.	PROPN
brj-23138	330	25	(	(	PUNCT
brj-23138	330	26	2018	2018	NUM
brj-23138	330	27	)	)	PUNCT
brj-23138	330	28	.	.	PUNCT
brj-23138	331	1	“	"	PUNCT
brj-23138	331	2	silage	silage	NOUN
brj-23138	331	3	review	review	NOUN
brj-23138	331	4	:	:	PUNCT
brj-23138	331	5	interpretation	interpretation	NOUN
brj-23138	331	6	of	of	ADP
brj-23138	331	7	chemical	chemical	NOUN
brj-23138	331	8	,	,	PUNCT
brj-23138	331	9	microbial	microbial	ADJ
brj-23138	331	10	,	,	PUNCT
brj-23138	331	11	and	and	CCONJ
brj-23138	331	12	organoleptic	organoleptic	ADJ
brj-23138	331	13	components	component	NOUN
brj-23138	331	14	of	of	ADP
brj-23138	331	15	silages	silage	NOUN
brj-23138	331	16	,	,	PUNCT
brj-23138	331	17	”	"	PUNCT
brj-23138	331	18	journal	journal	NOUN
brj-23138	331	19	of	of	ADP
brj-23138	331	20	dairy	dairy	NOUN
brj-23138	331	21	science	science	NOUN
brj-23138	331	22	101	101	NUM
brj-23138	331	23	,	,	PUNCT
brj-23138	331	24	4020	4020	NUM
brj-23138	331	25	-	-	SYM
brj-23138	331	26	4033	4033	NUM
brj-23138	331	27	.	.	PUNCT
brj-23138	332	1	doi	doi	NOUN
brj-23138	332	2	:	:	PUNCT
brj-23138	332	3	10.3168	10.3168	NUM
brj-23138	332	4	/	/	SYM
brj-23138	332	5	jds.2017	jds.2017	NUM
brj-23138	332	6	-	-	PUNCT
brj-23138	332	7	13909	13909	NUM
brj-23138	332	8	liu	liu	PROPN
brj-23138	332	9	,	,	PUNCT
brj-23138	332	10	t.	t.	PROPN
brj-23138	332	11	,	,	PUNCT
brj-23138	332	12	jiang	jiang	PROPN
brj-23138	332	13	,	,	PUNCT
brj-23138	332	14	h.	h.	PROPN
brj-23138	332	15	,	,	PUNCT
brj-23138	332	16	and	and	CCONJ
brj-23138	332	17	chen	chen	PROPN
brj-23138	332	18	,	,	PUNCT
brj-23138	332	19	q.	q.	PROPN
brj-23138	332	20	(	(	PUNCT
brj-23138	332	21	2020	2020	NUM
brj-23138	332	22	)	)	PUNCT
brj-23138	332	23	.	.	PUNCT
brj-23138	333	1	“	"	PUNCT
brj-23138	333	2	qualitative	qualitative	ADJ
brj-23138	333	3	identification	identification	NOUN
brj-23138	333	4	of	of	ADP
brj-23138	333	5	rice	rice	NOUN
brj-23138	333	6	actual	actual	ADJ
brj-23138	333	7	storage	storage	NOUN
brj-23138	333	8	period	period	NOUN
brj-23138	333	9	using	use	VERB
brj-23138	333	10	olfactory	olfactory	ADJ
brj-23138	333	11	visualization	visualization	NOUN
brj-23138	333	12	technique	technique	NOUN
brj-23138	333	13	combined	combine	VERB
brj-23138	333	14	with	with	ADP
brj-23138	333	15	chemometrics	chemometric	NOUN
brj-23138	333	16	analysis	analysis	NOUN
brj-23138	333	17	,	,	PUNCT
brj-23138	333	18	”	"	PUNCT
brj-23138	333	19	microchemical	microchemical	ADJ
brj-23138	333	20	journal	journal	NOUN
brj-23138	333	21	159	159	NUM
brj-23138	333	22	,	,	PUNCT
brj-23138	333	23	article	article	NOUN
brj-23138	333	24	105339	105339	NUM
brj-23138	333	25	.	.	PUNCT
brj-23138	334	1	doi	doi	NOUN
brj-23138	334	2	:	:	PUNCT
brj-23138	335	1	10.1016	10.1016	NUM
brj-23138	335	2	/	/	SYM
brj-23138	335	3	j.microc.2020.105339	j.microc.2020.105339	PROPN
brj-23138	335	4	more	more	ADV
brj-23138	335	5	,	,	PUNCT
brj-23138	335	6	a.	a.	PROPN
brj-23138	335	7	s.	s.	PROPN
brj-23138	335	8	,	,	PUNCT
brj-23138	335	9	and	and	CCONJ
brj-23138	335	10	rana	rana	PROPN
brj-23138	335	11	,	,	PUNCT
brj-23138	335	12	d.	d.	PROPN
brj-23138	335	13	p.	p.	PROPN
brj-23138	335	14	(	(	PUNCT
brj-23138	335	15	2022	2022	NUM
brj-23138	335	16	)	)	PUNCT
brj-23138	335	17	.	.	PUNCT
brj-23138	336	1	“	"	PUNCT
brj-23138	336	2	performance	performance	NOUN
brj-23138	336	3	enrichment	enrichment	NOUN
brj-23138	336	4	through	through	ADP
brj-23138	336	5	parameter	parameter	NOUN
brj-23138	336	6	tuning	tuning	NOUN
brj-23138	336	7	of	of	ADP
brj-23138	336	8	random	random	ADJ
brj-23138	336	9	forest	forest	NOUN
brj-23138	336	10	classification	classification	NOUN
brj-23138	336	11	for	for	ADP
brj-23138	336	12	imbalanced	imbalanced	ADJ
brj-23138	336	13	data	datum	NOUN
brj-23138	336	14	applications	application	NOUN
brj-23138	336	15	,	,	PUNCT
brj-23138	336	16	”	"	PUNCT
brj-23138	336	17	materials	material	NOUN
brj-23138	336	18	today	today	NOUN
brj-23138	336	19	:	:	PUNCT
brj-23138	336	20	proceedings	proceeding	NOUN
brj-23138	336	21	56	56	NUM
brj-23138	336	22	,	,	PUNCT
brj-23138	336	23	3585	3585	NUM
brj-23138	336	24	-	-	SYM
brj-23138	336	25	3593	3593	NUM
brj-23138	336	26	.	.	PUNCT
brj-23138	337	1	doi	doi	NOUN
brj-23138	337	2	:	:	PUNCT
brj-23138	337	3	10.1016	10.1016	NUM
brj-23138	337	4	/	/	SYM
brj-23138	337	5	j.matpr.2021.12.020	j.matpr.2021.12.020	PROPN
brj-23138	337	6	ouyang	ouyang	PROPN
brj-23138	337	7	,	,	PUNCT
brj-23138	337	8	q.	q.	PROPN
brj-23138	337	9	,	,	PUNCT
brj-23138	337	10	rong	rong	PROPN
brj-23138	337	11	,	,	PUNCT
brj-23138	337	12	y.	y.	PROPN
brj-23138	337	13	,	,	PUNCT
brj-23138	337	14	wu	wu	PROPN
brj-23138	337	15	,	,	PUNCT
brj-23138	337	16	j.	j.	PROPN
brj-23138	337	17	,	,	PUNCT
brj-23138	337	18	wang	wang	PROPN
brj-23138	337	19	,	,	PUNCT
brj-23138	337	20	z.	z.	PROPN
brj-23138	337	21	,	,	PUNCT
brj-23138	337	22	lin	lin	PROPN
brj-23138	337	23	,	,	PUNCT
brj-23138	337	24	h.	h.	PROPN
brj-23138	337	25	,	,	PUNCT
brj-23138	337	26	and	and	CCONJ
brj-23138	337	27	chen	chen	PROPN
brj-23138	337	28	,	,	PUNCT
brj-23138	337	29	q.	q.	PROPN
brj-23138	337	30	(	(	PUNCT
brj-23138	337	31	2023	2023	NUM
brj-23138	337	32	)	)	PUNCT
brj-23138	337	33	.	.	PUNCT
brj-23138	338	1	“	"	PUNCT
brj-23138	338	2	application	application	NOUN
brj-23138	338	3	of	of	ADP
brj-23138	338	4	colorimetric	colorimetric	ADJ
brj-23138	338	5	sensor	sensor	NOUN
brj-23138	338	6	array	array	NOUN
brj-23138	338	7	combined	combine	VERB
brj-23138	338	8	with	with	ADP
brj-23138	338	9	visible	visible	ADJ
brj-23138	338	10	near	near	ADV
brj-23138	338	11	-	-	PUNCT
brj-23138	338	12	infrared	infrared	ADJ
brj-23138	338	13	spectroscopy	spectroscopy	NOUN
brj-23138	338	14	for	for	ADP
brj-23138	338	15	the	the	DET
brj-23138	338	16	matcha	matcha	PROPN
brj-23138	338	17	classification	classification	NOUN
brj-23138	338	18	,	,	PUNCT
brj-23138	338	19	”	"	PUNCT
brj-23138	338	20	food	food	NOUN
brj-23138	338	21	chemistry	chemistry	NOUN
brj-23138	338	22	420	420	NUM
brj-23138	338	23	,	,	PUNCT
brj-23138	338	24	and	and	CCONJ
brj-23138	338	25	136078	136078	NUM
brj-23138	338	26	.	.	PUNCT
brj-23138	339	1	doi	doi	NOUN
brj-23138	339	2	:	:	PUNCT
brj-23138	339	3	10.1016	10.1016	NUM
brj-23138	339	4	/	/	SYM
brj-23138	339	5	j.foodchem.2023.136078	j.foodchem.2023.136078	PROPN
brj-23138	339	6	serva	serva	PROPN
brj-23138	339	7	,	,	PUNCT
brj-23138	339	8	l.	l.	PROPN
brj-23138	339	9	,	,	PUNCT
brj-23138	339	10	andrighetto	andrighetto	PROPN
brj-23138	339	11	,	,	PUNCT
brj-23138	339	12	i.	i.	PROPN
brj-23138	339	13	,	,	PUNCT
brj-23138	339	14	segato	segato	PROPN
brj-23138	339	15	,	,	PUNCT
brj-23138	339	16	s.	s.	PROPN
brj-23138	339	17	,	,	PUNCT
brj-23138	339	18	marchesini	marchesini	NOUN
brj-23138	339	19	,	,	PUNCT
brj-23138	339	20	g.	g.	PROPN
brj-23138	339	21	,	,	PUNCT
brj-23138	339	22	chinello	chinello	NOUN
brj-23138	339	23	,	,	PUNCT
brj-23138	339	24	m.	m.	NOUN
brj-23138	339	25	,	,	PUNCT
brj-23138	339	26	and	and	CCONJ
brj-23138	339	27	magrin	magrin	NOUN
brj-23138	339	28	,	,	PUNCT
brj-23138	339	29	l.	l.	PROPN
brj-23138	339	30	(	(	PUNCT
brj-23138	339	31	2023	2023	NUM
brj-23138	339	32	)	)	PUNCT
brj-23138	339	33	.	.	PUNCT
brj-23138	340	1	“	"	PUNCT
brj-23138	340	2	assessment	assessment	NOUN
brj-23138	340	3	of	of	ADP
brj-23138	340	4	maize	maize	NOUN
brj-23138	340	5	silage	silage	NOUN
brj-23138	340	6	quality	quality	NOUN
brj-23138	340	7	under	under	ADP
brj-23138	340	8	different	different	ADJ
brj-23138	340	9	pre	pre	ADJ
brj-23138	340	10	-	-	ADJ
brj-23138	340	11	ensiling	ensiling	ADJ
brj-23138	340	12	conditions	condition	NOUN
brj-23138	340	13	,	,	PUNCT
brj-23138	340	14	”	"	PUNCT
brj-23138	340	15	data	datum	NOUN
brj-23138	340	16	8	8	NUM
brj-23138	340	17	,	,	PUNCT
brj-23138	340	18	article	article	NOUN
brj-23138	340	19	117	117	NUM
brj-23138	340	20	.	.	PUNCT
brj-23138	341	1	doi	doi	NOUN
brj-23138	341	2	:	:	PUNCT
brj-23138	341	3	10.3390	10.3390	NUM
brj-23138	341	4	/	/	SYM
brj-23138	341	5	data8070117	data8070117	PROPN
brj-23138	341	6	suslick	suslick	NOUN
brj-23138	341	7	,	,	PUNCT
brj-23138	341	8	k.	k.	PROPN
brj-23138	341	9	s.	s.	PROPN
brj-23138	341	10	,	,	PUNCT
brj-23138	341	11	rakow	rakow	PROPN
brj-23138	341	12	,	,	PUNCT
brj-23138	341	13	n.	n.	PROPN
brj-23138	341	14	a.	a.	PROPN
brj-23138	341	15	,	,	PUNCT
brj-23138	341	16	and	and	CCONJ
brj-23138	341	17	sen	sen	PROPN
brj-23138	341	18	,	,	PUNCT
brj-23138	341	19	a.	a.	NOUN
brj-23138	341	20	(	(	PUNCT
brj-23138	341	21	2004	2004	NUM
brj-23138	341	22	)	)	PUNCT
brj-23138	341	23	.	.	PUNCT
brj-23138	342	1	“	"	PUNCT
brj-23138	342	2	colorimetric	colorimetric	ADJ
brj-23138	342	3	sensor	sensor	NOUN
brj-23138	342	4	arrays	array	VERB
brj-23138	342	5	for	for	ADP
brj-23138	342	6	molecular	molecular	ADJ
brj-23138	342	7	recognition	recognition	NOUN
brj-23138	342	8	,	,	PUNCT
brj-23138	342	9	”	"	PUNCT
brj-23138	342	10	tetrahedron	tetrahedron	NOUN
brj-23138	342	11	60	60	NUM
brj-23138	342	12	,	,	PUNCT
brj-23138	342	13	11133	11133	NUM
brj-23138	342	14	-	-	SYM
brj-23138	342	15	11138	11138	NUM
brj-23138	342	16	.	.	PUNCT
brj-23138	343	1	doi	doi	NOUN
brj-23138	343	2	:	:	PUNCT
brj-23138	343	3	10.1016	10.1016	NUM
brj-23138	343	4	/	/	SYM
brj-23138	343	5	j.tet.2004.09.007	j.tet.2004.09.007	ADJ
brj-23138	343	6	tharangani	tharangani	NOUN
brj-23138	343	7	,	,	PUNCT
brj-23138	343	8	r.	r.	PROPN
brj-23138	343	9	m.	m.	PROPN
brj-23138	343	10	h.	h.	PROPN
brj-23138	343	11	,	,	PUNCT
brj-23138	343	12	yakun	yakun	PROPN
brj-23138	343	13	,	,	PUNCT
brj-23138	343	14	c.	c.	PROPN
brj-23138	343	15	,	,	PUNCT
brj-23138	343	16	zhao	zhao	PROPN
brj-23138	343	17	,	,	PUNCT
brj-23138	343	18	l.	l.	PROPN
brj-23138	343	19	s.	s.	PROPN
brj-23138	343	20	,	,	PUNCT
brj-23138	343	21	ma	ma	PROPN
brj-23138	343	22	,	,	PUNCT
brj-23138	343	23	l.	l.	PROPN
brj-23138	343	24	,	,	PUNCT
brj-23138	343	25	liu	liu	PROPN
brj-23138	343	26	,	,	PUNCT
brj-23138	343	27	h.	h.	PROPN
brj-23138	343	28	l.	l.	PROPN
brj-23138	343	29	,	,	PUNCT
brj-23138	343	30	su	su	PROPN
brj-23138	343	31	,	,	PUNCT
brj-23138	343	32	s.	s.	PROPN
brj-23138	343	33	l.	l.	PROPN
brj-23138	343	34	,	,	PUNCT
brj-23138	343	35	shan	shan	PROPN
brj-23138	343	36	,	,	PUNCT
brj-23138	343	37	l.	l.	PROPN
brj-23138	343	38	,	,	PUNCT
brj-23138	343	39	yang	yang	PROPN
brj-23138	343	40	,	,	PUNCT
brj-23138	343	41	z.	z.	PROPN
brj-23138	343	42	n.	n.	PROPN
brj-23138	343	43	,	,	PUNCT
brj-23138	343	44	kononoff	kononoff	PROPN
brj-23138	343	45	,	,	PUNCT
brj-23138	343	46	p.	p.	PROPN
brj-23138	343	47	j.	j.	PROPN
brj-23138	343	48	,	,	PUNCT
brj-23138	343	49	weiss	weiss	PROPN
brj-23138	343	50	,	,	PUNCT
brj-23138	343	51	w.	w.	PROPN
brj-23138	343	52	p.	p.	PROPN
brj-23138	343	53	,	,	PUNCT
brj-23138	343	54	et	et	PROPN
brj-23138	343	55	al	al	PROPN
brj-23138	343	56	.	.	PROPN
brj-23138	343	57	(	(	PUNCT
brj-23138	343	58	2021	2021	NUM
brj-23138	343	59	)	)	PUNCT
brj-23138	343	60	.	.	PUNCT
brj-23138	344	1	“	"	PUNCT
brj-23138	344	2	corn	corn	NOUN
brj-23138	344	3	silage	silage	NOUN
brj-23138	344	4	quality	quality	NOUN
brj-23138	344	5	index	index	NOUN
brj-23138	344	6	:	:	PUNCT
brj-23138	344	7	an	an	DET
brj-23138	344	8	index	index	NOUN
brj-23138	344	9	combining	combine	VERB
brj-23138	344	10	milk	milk	NOUN
brj-23138	344	11	yield	yield	NOUN
brj-23138	344	12	,	,	PUNCT
brj-23138	344	13	silage	silage	NOUN
brj-23138	344	14	nutritional	nutritional	ADJ
brj-23138	344	15	and	and	CCONJ
brj-23138	344	16	fermentation	fermentation	NOUN
brj-23138	344	17	parameters	parameter	NOUN
brj-23138	344	18	,	,	PUNCT
brj-23138	344	19	”	"	PUNCT
brj-23138	344	20	peer	peer	NOUN
brj-23138	344	21	-	-	PUNCT
brj-23138	344	22	reviewed	review	VERB
brj-23138	344	23	article	article	NOUN
brj-23138	344	24	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23138	344	25	tao	tao	PROPN
brj-23138	344	26	et	et	PROPN
brj-23138	344	27	al	al	PROPN
brj-23138	344	28	.	.	PROPN
brj-23138	345	1	(	(	PUNCT
brj-23138	345	2	2024	2024	NUM
brj-23138	345	3	)	)	PUNCT
brj-23138	345	4	.	.	PUNCT
brj-23138	346	1	“	"	PUNCT
brj-23138	346	2	maize	maize	VERB
brj-23138	346	3	silage	silage	NOUN
brj-23138	346	4	quality	quality	NOUN
brj-23138	346	5	testing	testing	NOUN
brj-23138	346	6	,	,	PUNCT
brj-23138	346	7	”	"	PUNCT
brj-23138	346	8	bioresources	bioresource	NOUN
brj-23138	346	9	19(2	19(2	NUM
brj-23138	346	10	)	)	PUNCT
brj-23138	346	11	,	,	PUNCT
brj-23138	346	12	3597	3597	NUM
brj-23138	346	13	-	-	SYM
brj-23138	346	14	3613	3613	NUM
brj-23138	346	15	.	.	PUNCT
brj-23138	347	1	3613	3613	NUM
brj-23138	347	2	animal	animal	NOUN
brj-23138	347	3	feed	feed	NOUN
brj-23138	347	4	science	science	NOUN
brj-23138	347	5	and	and	CCONJ
brj-23138	347	6	technology	technology	NOUN
brj-23138	347	7	273	273	NUM
brj-23138	347	8	,	,	PUNCT
brj-23138	347	9	article	article	NOUN
brj-23138	347	10	114817	114817	NUM
brj-23138	347	11	.	.	PUNCT
brj-23138	348	1	doi	doi	NOUN
brj-23138	348	2	:	:	PUNCT
brj-23138	348	3	10.1016	10.1016	NUM
brj-23138	348	4	/	/	SYM
brj-23138	348	5	j.anifeedsci.2021.114817	j.anifeedsci.2021.114817	PROPN
brj-23138	348	6	tuorila	tuorila	PROPN
brj-23138	348	7	,	,	PUNCT
brj-23138	348	8	h.	h.	PROPN
brj-23138	348	9	(	(	PUNCT
brj-23138	348	10	2015	2015	NUM
brj-23138	348	11	)	)	PUNCT
brj-23138	348	12	.	.	PUNCT
brj-23138	349	1	“	"	PUNCT
brj-23138	349	2	from	from	ADP
brj-23138	349	3	sensory	sensory	ADJ
brj-23138	349	4	evaluation	evaluation	NOUN
brj-23138	349	5	to	to	ADP
brj-23138	349	6	sensory	sensory	ADJ
brj-23138	349	7	and	and	CCONJ
brj-23138	349	8	consumer	consumer	NOUN
brj-23138	349	9	research	research	NOUN
brj-23138	349	10	of	of	ADP
brj-23138	349	11	food	food	NOUN
brj-23138	349	12	:	:	PUNCT
brj-23138	349	13	an	an	DET
brj-23138	349	14	autobiographical	autobiographical	ADJ
brj-23138	349	15	perspective	perspective	NOUN
brj-23138	349	16	,	,	PUNCT
brj-23138	349	17	”	"	PUNCT
brj-23138	349	18	food	food	NOUN
brj-23138	349	19	quality	quality	NOUN
brj-23138	349	20	and	and	CCONJ
brj-23138	349	21	preference	preference	NOUN
brj-23138	349	22	40	40	NUM
brj-23138	349	23	,	,	PUNCT
brj-23138	349	24	255	255	NUM
brj-23138	349	25	-	-	SYM
brj-23138	349	26	262	262	NUM
brj-23138	349	27	.	.	PUNCT
brj-23138	349	28	presented	present	VERB
brj-23138	349	29	at	at	ADP
brj-23138	349	30	the	the	DET
brj-23138	349	31	10th	10th	ADJ
brj-23138	349	32	pangborn	pangborn	ADJ
brj-23138	349	33	sensory	sensory	ADJ
brj-23138	349	34	science	science	NOUN
brj-23138	349	35	symposium	symposium	NOUN
brj-23138	349	36	.	.	PUNCT
brj-23138	350	1	doi	doi	NOUN
brj-23138	350	2	:	:	PUNCT
brj-23138	350	3	10.1016	10.1016	NUM
brj-23138	350	4	/	/	SYM
brj-23138	350	5	j.foodqual.2014.05.006	j.foodqual.2014.05.006	PROPN
brj-23138	350	6	virmani	virmani	PROPN
brj-23138	350	7	,	,	PUNCT
brj-23138	350	8	d.	d.	PROPN
brj-23138	350	9	,	,	PUNCT
brj-23138	350	10	and	and	CCONJ
brj-23138	350	11	pandey	pandey	PROPN
brj-23138	350	12	,	,	PUNCT
brj-23138	350	13	h.	h.	PROPN
brj-23138	350	14	(	(	PUNCT
brj-23138	350	15	2023	2023	NUM
brj-23138	350	16	)	)	PUNCT
brj-23138	350	17	.	.	PUNCT
brj-23138	351	1	“	"	PUNCT
brj-23138	351	2	comparative	comparative	ADJ
brj-23138	351	3	analysis	analysis	NOUN
brj-23138	351	4	on	on	ADP
brj-23138	351	5	effect	effect	NOUN
brj-23138	351	6	of	of	ADP
brj-23138	351	7	different	different	ADJ
brj-23138	351	8	svm	svm	ADJ
brj-23138	351	9	kernel	kernel	NOUN
brj-23138	351	10	functions	function	NOUN
brj-23138	351	11	for	for	ADP
brj-23138	351	12	classification	classification	NOUN
brj-23138	351	13	,	,	PUNCT
brj-23138	351	14	”	"	PUNCT
brj-23138	351	15	in	in	ADP
brj-23138	351	16	:	:	PUNCT
brj-23138	351	17	international	international	ADJ
brj-23138	351	18	conference	conference	NOUN
brj-23138	351	19	on	on	ADP
brj-23138	351	20	innovative	innovative	ADJ
brj-23138	351	21	computing	computing	NOUN
brj-23138	351	22	and	and	CCONJ
brj-23138	351	23	communications	communication	NOUN
brj-23138	351	24	,	,	PUNCT
brj-23138	351	25	vol	vol	NOUN
brj-23138	351	26	.	.	PROPN
brj-23138	351	27	492	492	NUM
brj-23138	351	28	,	,	PUNCT
brj-23138	351	29	pp	pp	ADJ
brj-23138	351	30	.	.	PUNCT
brj-23138	352	1	657	657	NUM
brj-23138	352	2	-	-	SYM
brj-23138	352	3	670	670	NUM
brj-23138	352	4	.	.	PUNCT
brj-23138	353	1	springer	springer	PROPN
brj-23138	353	2	nature	nature	PROPN
brj-23138	353	3	singapore	singapore	PROPN
brj-23138	353	4	,	,	PUNCT
brj-23138	353	5	singapore	singapore	PROPN
brj-23138	353	6	.	.	PUNCT
brj-23138	354	1	doi	doi	PROPN
brj-23138	354	2	:	:	PUNCT
brj-23138	354	3	10.1007/978	10.1007/978	NUM
brj-23138	354	4	-	-	SYM
brj-23138	354	5	981	981	NUM
brj-23138	354	6	-	-	PUNCT
brj-23138	354	7	19	19	NUM
brj-23138	354	8	-	-	PUNCT
brj-23138	354	9	3679	3679	NUM
brj-23138	354	10	-	-	SYM
brj-23138	354	11	1_56	1_56	NUM
brj-23138	354	12	wang	wang	PROPN
brj-23138	354	13	,	,	PUNCT
brj-23138	354	14	j.	j.	PROPN
brj-23138	354	15	,	,	PUNCT
brj-23138	354	16	jiang	jiang	PROPN
brj-23138	354	17	,	,	PUNCT
brj-23138	354	18	h.	h.	PROPN
brj-23138	354	19	,	,	PUNCT
brj-23138	354	20	and	and	CCONJ
brj-23138	354	21	chen	chen	PROPN
brj-23138	354	22	,	,	PUNCT
brj-23138	354	23	q.	q.	PROPN
brj-23138	354	24	(	(	PUNCT
brj-23138	354	25	2021	2021	NUM
brj-23138	354	26	)	)	PUNCT
brj-23138	354	27	.	.	PUNCT
brj-23138	355	1	“	"	PUNCT
brj-23138	355	2	high	high	ADJ
brj-23138	355	3	-	-	PUNCT
brj-23138	355	4	precision	precision	NOUN
brj-23138	355	5	recognition	recognition	NOUN
brj-23138	355	6	of	of	ADP
brj-23138	355	7	wheat	wheat	NOUN
brj-23138	355	8	mildew	mildew	NOUN
brj-23138	355	9	degree	degree	NOUN
brj-23138	355	10	based	base	VERB
brj-23138	355	11	on	on	ADP
brj-23138	355	12	colorimetric	colorimetric	ADJ
brj-23138	355	13	sensor	sensor	NOUN
brj-23138	355	14	technique	technique	NOUN
brj-23138	355	15	combined	combine	VERB
brj-23138	355	16	with	with	ADP
brj-23138	355	17	multivariate	multivariate	NOUN
brj-23138	355	18	analysis	analysis	NOUN
brj-23138	355	19	,	,	PUNCT
brj-23138	355	20	”	"	PUNCT
brj-23138	355	21	microchemical	microchemical	ADJ
brj-23138	355	22	journal	journal	NOUN
brj-23138	355	23	168	168	NUM
brj-23138	355	24	,	,	PUNCT
brj-23138	355	25	article	article	NOUN
brj-23138	355	26	106468	106468	NUM
brj-23138	355	27	.	.	PUNCT
brj-23138	356	1	doi	doi	NOUN
brj-23138	356	2	:	:	PUNCT
brj-23138	356	3	10.1016	10.1016	NUM
brj-23138	356	4	/	/	SYM
brj-23138	356	5	j.microc.2021.106468	j.microc.2021.106468	PROPN
brj-23138	356	6	wilkinson	wilkinson	PROPN
brj-23138	356	7	,	,	PUNCT
brj-23138	356	8	j.	j.	PROPN
brj-23138	356	9	m.	m.	PROPN
brj-23138	356	10	,	,	PUNCT
brj-23138	356	11	and	and	CCONJ
brj-23138	356	12	davies	davy	NOUN
brj-23138	356	13	,	,	PUNCT
brj-23138	356	14	d.	d.	PROPN
brj-23138	356	15	r.	r.	PROPN
brj-23138	356	16	(	(	PUNCT
brj-23138	356	17	2013	2013	NUM
brj-23138	356	18	)	)	PUNCT
brj-23138	356	19	.	.	PUNCT
brj-23138	357	1	“	"	PUNCT
brj-23138	357	2	the	the	DET
brj-23138	357	3	aerobic	aerobic	ADJ
brj-23138	357	4	stability	stability	NOUN
brj-23138	357	5	of	of	ADP
brj-23138	357	6	silage	silage	NOUN
brj-23138	357	7	:	:	PUNCT
brj-23138	357	8	key	key	ADJ
brj-23138	357	9	findings	finding	NOUN
brj-23138	357	10	and	and	CCONJ
brj-23138	357	11	recent	recent	ADJ
brj-23138	357	12	developments	development	NOUN
brj-23138	357	13	,	,	PUNCT
brj-23138	357	14	”	"	PUNCT
brj-23138	357	15	grass	grass	NOUN
brj-23138	357	16	and	and	CCONJ
brj-23138	357	17	forage	forage	NOUN
brj-23138	357	18	science	science	NOUN
brj-23138	357	19	68	68	NUM
brj-23138	357	20	,	,	PUNCT
brj-23138	357	21	1	1	NUM
brj-23138	357	22	-	-	SYM
brj-23138	357	23	19	19	NUM
brj-23138	357	24	.	.	PUNCT
brj-23138	357	25	doi	doi	NOUN
brj-23138	357	26	:	:	PUNCT
brj-23138	357	27	10.1111	10.1111	NUM
brj-23138	357	28	/	/	SYM
brj-23138	357	29	j.13652494.2012.00891.x	j.13652494.2012.00891.x	NOUN
brj-23138	357	30	wojnowski	wojnowski	NOUN
brj-23138	357	31	,	,	PUNCT
brj-23138	357	32	w.	w.	PROPN
brj-23138	357	33	,	,	PUNCT
brj-23138	357	34	majchrzak	majchrzak	PROPN
brj-23138	357	35	,	,	PUNCT
brj-23138	357	36	t.	t.	NOUN
brj-23138	357	37	,	,	PUNCT
brj-23138	357	38	dymerski	dymerski	NOUN
brj-23138	357	39	,	,	PUNCT
brj-23138	357	40	t.	t.	PROPN
brj-23138	357	41	,	,	PUNCT
brj-23138	357	42	gębicki	gębicki	PROPN
brj-23138	357	43	,	,	PUNCT
brj-23138	357	44	j.	j.	PROPN
brj-23138	357	45	,	,	PUNCT
brj-23138	357	46	and	and	CCONJ
brj-23138	357	47	namieśnik	namieśnik	PROPN
brj-23138	357	48	,	,	PUNCT
brj-23138	357	49	j.	j.	PROPN
brj-23138	357	50	(	(	PUNCT
brj-23138	357	51	2017	2017	NUM
brj-23138	357	52	)	)	PUNCT
brj-23138	357	53	.	.	PUNCT
brj-23138	358	1	“	"	PUNCT
brj-23138	358	2	electronic	electronic	ADJ
brj-23138	358	3	noses	nose	NOUN
brj-23138	358	4	:	:	PUNCT
brj-23138	358	5	powerful	powerful	ADJ
brj-23138	358	6	tools	tool	NOUN
brj-23138	358	7	in	in	ADP
brj-23138	358	8	meat	meat	NOUN
brj-23138	358	9	quality	quality	NOUN
brj-23138	358	10	assessment	assessment	NOUN
brj-23138	358	11	,	,	PUNCT
brj-23138	358	12	”	"	PUNCT
brj-23138	358	13	meat	meat	NOUN
brj-23138	358	14	science	science	NOUN
brj-23138	358	15	131	131	NUM
brj-23138	358	16	,	,	PUNCT
brj-23138	358	17	119	119	NUM
brj-23138	358	18	-	-	SYM
brj-23138	358	19	131	131	NUM
brj-23138	358	20	.	.	PUNCT
brj-23138	359	1	doi	doi	NOUN
brj-23138	359	2	:	:	PUNCT
brj-23138	359	3	10.1016	10.1016	NUM
brj-23138	359	4	/	/	SYM
brj-23138	359	5	j.meatsci.2017.04.240	j.meatsci.2017.04.240	PROPN
brj-23138	359	6	wu	wu	PROPN
brj-23138	359	7	,	,	PUNCT
brj-23138	359	8	z.	z.	PROPN
brj-23138	359	9	,	,	PUNCT
brj-23138	359	10	xu	xu	PROPN
brj-23138	359	11	,	,	PUNCT
brj-23138	359	12	e.	e.	PROPN
brj-23138	359	13	,	,	PUNCT
brj-23138	359	14	long	long	ADV
brj-23138	359	15	,	,	PUNCT
brj-23138	359	16	j.	j.	PROPN
brj-23138	359	17	,	,	PUNCT
brj-23138	359	18	wang	wang	PROPN
brj-23138	359	19	,	,	PUNCT
brj-23138	359	20	f.	f.	PROPN
brj-23138	359	21	,	,	PUNCT
brj-23138	359	22	xu	xu	PROPN
brj-23138	359	23	,	,	PUNCT
brj-23138	359	24	x.	x.	PROPN
brj-23138	359	25	,	,	PUNCT
brj-23138	359	26	jin	jin	PROPN
brj-23138	359	27	,	,	PUNCT
brj-23138	359	28	z.	z.	PROPN
brj-23138	359	29	,	,	PUNCT
brj-23138	359	30	and	and	CCONJ
brj-23138	359	31	jiao	jiao	PROPN
brj-23138	359	32	,	,	PUNCT
brj-23138	359	33	a.	a.	NOUN
brj-23138	359	34	(	(	PUNCT
brj-23138	359	35	2015	2015	NUM
brj-23138	359	36	)	)	PUNCT
brj-23138	359	37	.	.	PUNCT
brj-23138	360	1	“	"	PUNCT
brj-23138	360	2	measurement	measurement	NOUN
brj-23138	360	3	of	of	ADP
brj-23138	360	4	fermentation	fermentation	NOUN
brj-23138	360	5	parameters	parameter	NOUN
brj-23138	360	6	of	of	ADP
brj-23138	360	7	chinese	chinese	ADJ
brj-23138	360	8	rice	rice	NOUN
brj-23138	360	9	wine	wine	NOUN
brj-23138	360	10	using	use	VERB
brj-23138	360	11	raman	raman	NOUN
brj-23138	360	12	spectroscopy	spectroscopy	NOUN
brj-23138	360	13	combined	combine	VERB
brj-23138	360	14	with	with	ADP
brj-23138	360	15	linear	linear	ADJ
brj-23138	360	16	and	and	CCONJ
brj-23138	360	17	non	non	ADJ
brj-23138	360	18	-	-	ADJ
brj-23138	360	19	linear	linear	ADJ
brj-23138	360	20	regression	regression	NOUN
brj-23138	360	21	methods	method	NOUN
brj-23138	360	22	,	,	PUNCT
brj-23138	360	23	”	"	PUNCT
brj-23138	360	24	food	food	NOUN
brj-23138	360	25	control	control	NOUN
brj-23138	360	26	56	56	NUM
brj-23138	360	27	,	,	PUNCT
brj-23138	360	28	95	95	NUM
brj-23138	360	29	-	-	SYM
brj-23138	360	30	102	102	NUM
brj-23138	360	31	.	.	PUNCT
brj-23138	361	1	doi	doi	NOUN
brj-23138	361	2	:	:	PUNCT
brj-23138	361	3	10.1016	10.1016	NUM
brj-23138	361	4	/	/	SYM
brj-23138	361	5	j.foodcont.2015.03.015	j.foodcont.2015.03.015	PROPN
brj-23138	361	6	xu	xu	PROPN
brj-23138	361	7	,	,	PUNCT
brj-23138	361	8	w.	w.	PROPN
brj-23138	361	9	,	,	PUNCT
brj-23138	361	10	jiang	jiang	PROPN
brj-23138	361	11	,	,	PUNCT
brj-23138	361	12	h.	h.	PROPN
brj-23138	361	13	,	,	PUNCT
brj-23138	361	14	liu	liu	PROPN
brj-23138	361	15	,	,	PUNCT
brj-23138	361	16	t.	t.	PROPN
brj-23138	361	17	,	,	PUNCT
brj-23138	361	18	he	he	PRON
brj-23138	361	19	,	,	PUNCT
brj-23138	361	20	y.	y.	PROPN
brj-23138	361	21	,	,	PUNCT
brj-23138	361	22	and	and	CCONJ
brj-23138	361	23	chen	chen	PROPN
brj-23138	361	24	,	,	PUNCT
brj-23138	361	25	q.	q.	PROPN
brj-23138	361	26	(	(	PUNCT
brj-23138	361	27	2019	2019	NUM
brj-23138	361	28	)	)	PUNCT
brj-23138	361	29	.	.	PUNCT
brj-23138	362	1	“	"	PUNCT
brj-23138	362	2	qualitative	qualitative	ADJ
brj-23138	362	3	discrimination	discrimination	NOUN
brj-23138	362	4	of	of	ADP
brj-23138	362	5	yeast	yeast	NOUN
brj-23138	362	6	fermentation	fermentation	NOUN
brj-23138	362	7	stages	stage	NOUN
brj-23138	362	8	based	base	VERB
brj-23138	362	9	on	on	ADP
brj-23138	362	10	an	an	DET
brj-23138	362	11	olfactory	olfactory	ADJ
brj-23138	362	12	visualization	visualization	NOUN
brj-23138	362	13	sensor	sensor	NOUN
brj-23138	362	14	system	system	NOUN
brj-23138	362	15	integrated	integrate	VERB
brj-23138	362	16	with	with	ADP
brj-23138	362	17	a	a	DET
brj-23138	362	18	pattern	pattern	NOUN
brj-23138	362	19	recognition	recognition	NOUN
brj-23138	362	20	algorithm	algorithm	NOUN
brj-23138	362	21	,	,	PUNCT
brj-23138	362	22	”	"	PUNCT
brj-23138	362	23	analytical	analytical	ADJ
brj-23138	362	24	methods	method	NOUN
brj-23138	362	25	11	11	NUM
brj-23138	362	26	,	,	PUNCT
brj-23138	362	27	3294	3294	NUM
brj-23138	362	28	-	-	SYM
brj-23138	362	29	3300	3300	NUM
brj-23138	362	30	.	.	PUNCT
brj-23138	363	1	doi	doi	NOUN
brj-23138	363	2	:	:	PUNCT
brj-23138	363	3	10.1039	10.1039	NUM
brj-23138	363	4	/	/	SYM
brj-23138	363	5	c9ay00760a	c9ay00760a	PROPN
brj-23138	363	6	xu	xu	PROPN
brj-23138	363	7	,	,	PUNCT
brj-23138	363	8	w.	w.	PROPN
brj-23138	363	9	,	,	PUNCT
brj-23138	363	10	he	he	PRON
brj-23138	363	11	,	,	PUNCT
brj-23138	363	12	y.	y.	PROPN
brj-23138	363	13	,	,	PUNCT
brj-23138	363	14	li	li	PROPN
brj-23138	363	15	,	,	PUNCT
brj-23138	363	16	j.	j.	PROPN
brj-23138	363	17	,	,	PUNCT
brj-23138	363	18	deng	deng	PROPN
brj-23138	363	19	,	,	PUNCT
brj-23138	363	20	y.	y.	PROPN
brj-23138	363	21	,	,	PUNCT
brj-23138	363	22	xu	xu	PROPN
brj-23138	363	23	,	,	PUNCT
brj-23138	363	24	e.	e.	PROPN
brj-23138	363	25	,	,	PUNCT
brj-23138	363	26	feng	feng	PROPN
brj-23138	363	27	,	,	PUNCT
brj-23138	363	28	j.	j.	PROPN
brj-23138	363	29	,	,	PUNCT
brj-23138	363	30	ding	ding	NOUN
brj-23138	363	31	,	,	PUNCT
brj-23138	363	32	t.	t.	PROPN
brj-23138	363	33	,	,	PUNCT
brj-23138	363	34	liu	liu	PROPN
brj-23138	363	35	,	,	PUNCT
brj-23138	363	36	d.	d.	PROPN
brj-23138	363	37	,	,	PUNCT
brj-23138	363	38	and	and	CCONJ
brj-23138	363	39	wang	wang	PROPN
brj-23138	363	40	,	,	PUNCT
brj-23138	363	41	w.	w.	PROPN
brj-23138	363	42	(	(	PUNCT
brj-23138	363	43	2022a	2022a	NUM
brj-23138	363	44	)	)	PUNCT
brj-23138	363	45	.	.	PUNCT
brj-23138	364	1	“	"	PUNCT
brj-23138	364	2	non	non	ADJ
brj-23138	364	3	-	-	ADJ
brj-23138	364	4	destructive	destructive	ADJ
brj-23138	364	5	determination	determination	NOUN
brj-23138	364	6	of	of	ADP
brj-23138	364	7	beef	beef	NOUN
brj-23138	364	8	freshness	freshness	NOUN
brj-23138	364	9	based	base	VERB
brj-23138	364	10	on	on	ADP
brj-23138	364	11	colorimetric	colorimetric	ADJ
brj-23138	364	12	sensor	sensor	NOUN
brj-23138	364	13	array	array	NOUN
brj-23138	364	14	and	and	CCONJ
brj-23138	364	15	multivariate	multivariate	VERB
brj-23138	364	16	analysis	analysis	NOUN
brj-23138	364	17	,	,	PUNCT
brj-23138	364	18	”	"	PUNCT
brj-23138	364	19	sensors	sensor	NOUN
brj-23138	364	20	and	and	CCONJ
brj-23138	364	21	actuators	actuator	NOUN
brj-23138	364	22	b	b	X
brj-23138	364	23	:	:	PUNCT
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brj-23138	364	25	369	369	NUM
brj-23138	364	26	,	,	PUNCT
brj-23138	364	27	article	article	NOUN
brj-23138	364	28	132282	132282	NUM
brj-23138	364	29	.	.	PUNCT
brj-23138	365	1	doi	doi	NOUN
brj-23138	365	2	:	:	PUNCT
brj-23138	365	3	10.1016	10.1016	NUM
brj-23138	365	4	/	/	SYM
brj-23138	365	5	j.snb.2022.132282	j.snb.2022.132282	PROPN
brj-23138	365	6	xu	xu	PROPN
brj-23138	365	7	,	,	PUNCT
brj-23138	365	8	w.	w.	PROPN
brj-23138	365	9	,	,	PUNCT
brj-23138	365	10	he	he	PRON
brj-23138	365	11	,	,	PUNCT
brj-23138	365	12	y.	y.	PROPN
brj-23138	365	13	,	,	PUNCT
brj-23138	365	14	li	li	PROPN
brj-23138	365	15	,	,	PUNCT
brj-23138	365	16	j.	j.	PROPN
brj-23138	365	17	,	,	PUNCT
brj-23138	365	18	deng	deng	PROPN
brj-23138	365	19	,	,	PUNCT
brj-23138	365	20	y.	y.	PROPN
brj-23138	365	21	,	,	PUNCT
brj-23138	365	22	zhou	zhou	PROPN
brj-23138	365	23	,	,	PUNCT
brj-23138	365	24	j.	j.	PROPN
brj-23138	365	25	,	,	PUNCT
brj-23138	365	26	xu	xu	PROPN
brj-23138	365	27	,	,	PUNCT
brj-23138	365	28	e.	e.	PROPN
brj-23138	365	29	,	,	PUNCT
brj-23138	365	30	ding	ding	NOUN
brj-23138	365	31	,	,	PUNCT
brj-23138	365	32	t.	t.	PROPN
brj-23138	365	33	,	,	PUNCT
brj-23138	365	34	wang	wang	PROPN
brj-23138	365	35	,	,	PUNCT
brj-23138	365	36	w.	w.	PROPN
brj-23138	365	37	,	,	PUNCT
brj-23138	365	38	and	and	CCONJ
brj-23138	365	39	liu	liu	PROPN
brj-23138	365	40	,	,	PUNCT
brj-23138	365	41	d.	d.	PROPN
brj-23138	365	42	(	(	PUNCT
brj-23138	365	43	2022b	2022b	NUM
brj-23138	365	44	)	)	PUNCT
brj-23138	365	45	.	.	PUNCT
brj-23138	366	1	“	"	PUNCT
brj-23138	366	2	olfactory	olfactory	ADJ
brj-23138	366	3	visualization	visualization	NOUN
brj-23138	366	4	sensor	sensor	NOUN
brj-23138	366	5	system	system	NOUN
brj-23138	366	6	based	base	VERB
brj-23138	366	7	on	on	ADP
brj-23138	366	8	colorimetric	colorimetric	ADJ
brj-23138	366	9	sensor	sensor	NOUN
brj-23138	366	10	array	array	NOUN
brj-23138	366	11	and	and	CCONJ
brj-23138	366	12	chemometric	chemometric	ADJ
brj-23138	366	13	methods	method	NOUN
brj-23138	366	14	for	for	ADP
brj-23138	366	15	high	high	ADJ
brj-23138	366	16	precision	precision	NOUN
brj-23138	366	17	assessing	assess	VERB
brj-23138	366	18	beef	beef	NOUN
brj-23138	366	19	freshness	freshness	NOUN
brj-23138	366	20	,	,	PUNCT
brj-23138	366	21	”	"	PUNCT
brj-23138	366	22	meat	meat	NOUN
brj-23138	366	23	science	science	NOUN
brj-23138	366	24	194	194	NUM
brj-23138	366	25	,	,	PUNCT
brj-23138	366	26	article	article	NOUN
brj-23138	366	27	108950	108950	NUM
brj-23138	366	28	.	.	PUNCT
brj-23138	367	1	doi	doi	NOUN
brj-23138	367	2	:	:	PUNCT
brj-23138	367	3	10.1016	10.1016	NUM
brj-23138	367	4	/	/	SYM
brj-23138	367	5	j.meatsci.2022.108950	j.meatsci.2022.108950	PROPN
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brj-23138	367	7	,	,	PUNCT
brj-23138	367	8	h.	h.	PROPN
brj-23138	367	9	,	,	PUNCT
brj-23138	367	10	wu	wu	PROPN
brj-23138	367	11	,	,	PUNCT
brj-23138	367	12	j.	j.	PROPN
brj-23138	367	13	,	,	PUNCT
brj-23138	367	14	gao	gao	PROPN
brj-23138	367	15	,	,	PUNCT
brj-23138	367	16	l.	l.	PROPN
brj-23138	367	17	,	,	PUNCT
brj-23138	367	18	yu	yu	PROPN
brj-23138	367	19	,	,	PUNCT
brj-23138	367	20	j.	j.	PROPN
brj-23138	367	21	,	,	PUNCT
brj-23138	367	22	yuan	yuan	PROPN
brj-23138	367	23	,	,	PUNCT
brj-23138	367	24	x.	x.	PROPN
brj-23138	367	25	,	,	PUNCT
brj-23138	367	26	zhu	zhu	PROPN
brj-23138	367	27	,	,	PUNCT
brj-23138	367	28	w.	w.	PROPN
brj-23138	367	29	,	,	PUNCT
brj-23138	367	30	wang	wang	PROPN
brj-23138	367	31	,	,	PUNCT
brj-23138	367	32	x.	x.	NOUN
brj-23138	367	33	,	,	PUNCT
brj-23138	367	34	and	and	CCONJ
brj-23138	367	35	cui	cui	PROPN
brj-23138	367	36	,	,	PUNCT
brj-23138	367	37	z.	z.	PROPN
brj-23138	367	38	(	(	PUNCT
brj-23138	367	39	2018	2018	NUM
brj-23138	367	40	)	)	PUNCT
brj-23138	367	41	.	.	PUNCT
brj-23138	368	1	“	"	PUNCT
brj-23138	368	2	aerobic	aerobic	ADJ
brj-23138	368	3	deterioration	deterioration	NOUN
brj-23138	368	4	of	of	ADP
brj-23138	368	5	corn	corn	NOUN
brj-23138	368	6	stalk	stalk	NOUN
brj-23138	368	7	silage	silage	NOUN
brj-23138	368	8	and	and	CCONJ
brj-23138	368	9	its	its	PRON
brj-23138	368	10	effect	effect	NOUN
brj-23138	368	11	on	on	ADP
brj-23138	368	12	methane	methane	NOUN
brj-23138	368	13	production	production	NOUN
brj-23138	368	14	and	and	CCONJ
brj-23138	368	15	microbial	microbial	ADJ
brj-23138	368	16	community	community	NOUN
brj-23138	368	17	dynamics	dynamic	NOUN
brj-23138	368	18	in	in	ADP
brj-23138	368	19	anaerobic	anaerobic	ADJ
brj-23138	368	20	digestion	digestion	NOUN
brj-23138	368	21	,	,	PUNCT
brj-23138	368	22	”	"	PUNCT
brj-23138	368	23	bioresource	bioresource	ADJ
brj-23138	368	24	technology	technology	NOUN
brj-23138	368	25	250	250	NUM
brj-23138	368	26	,	,	PUNCT
brj-23138	368	27	828	828	NUM
brj-23138	368	28	-	-	SYM
brj-23138	368	29	837	837	NUM
brj-23138	368	30	.	.	PUNCT
brj-23138	369	1	doi	doi	NOUN
brj-23138	369	2	:	:	PUNCT
brj-23138	369	3	10.1016	10.1016	NUM
brj-23138	369	4	/	/	SYM
brj-23138	369	5	j.biortech.2017.09.149	j.biortech.2017.09.149	NOUN
brj-23138	369	6	article	article	NOUN
brj-23138	369	7	submitted	submit	VERB
brj-23138	369	8	:	:	PUNCT
brj-23138	369	9	november	november	PROPN
brj-23138	369	10	16	16	NUM
brj-23138	369	11	,	,	PUNCT
brj-23138	369	12	2023	2023	NUM
brj-23138	369	13	;	;	PUNCT
brj-23138	369	14	peer	peer	NOUN
brj-23138	369	15	review	review	NOUN
brj-23138	369	16	completed	complete	VERB
brj-23138	369	17	:	:	PUNCT
brj-23138	369	18	march	march	PROPN
brj-23138	369	19	13	13	NUM
brj-23138	369	20	,	,	PUNCT
brj-23138	369	21	2024	2024	NUM
brj-23138	369	22	;	;	PUNCT
brj-23138	369	23	revised	revise	VERB
brj-23138	369	24	version	version	NOUN
brj-23138	369	25	received	receive	VERB
brj-23138	369	26	:	:	PUNCT
brj-23138	369	27	march	march	PROPN
brj-23138	369	28	19	19	NUM
brj-23138	369	29	,	,	PUNCT
brj-23138	369	30	2024	2024	NUM
brj-23138	369	31	;	;	PUNCT
brj-23138	369	32	accepted	accept	VERB
brj-23138	369	33	:	:	PUNCT
brj-23138	369	34	april	april	PROPN
brj-23138	369	35	9	9	NUM
brj-23138	369	36	,	,	PUNCT
brj-23138	369	37	2024	2024	NUM
brj-23138	369	38	;	;	PUNCT
brj-23138	369	39	published	publish	VERB
brj-23138	369	40	:	:	PUNCT
brj-23138	369	41	april	april	PROPN
brj-23138	369	42	18	18	NUM
brj-23138	369	43	,	,	PUNCT
brj-23138	369	44	2024	2024	NUM
brj-23138	369	45	.	.	PUNCT
brj-23138	370	1	doi	doi	NOUN
brj-23138	370	2	:	:	PUNCT
brj-23138	370	3	10.15376	10.15376	NUM
brj-23138	370	4	/	/	SYM
brj-23138	370	5	biores.19.2.3597	biores.19.2.3597	NOUN
brj-23138	370	6	-	-	SYM
brj-23138	370	7	3613	3613	NUM