id	sid	tid	token	lemma	pos
brj-24693	1	1	peer	peer	NOUN
brj-24693	1	2	-	-	PUNCT
brj-24693	1	3	review	review	NOUN
brj-24693	1	4	article	article	NOUN
brj-24693	1	5	peer	peer	NOUN
brj-24693	1	6	-	-	PUNCT
brj-24693	1	7	reviewed	review	VERB
brj-24693	1	8	article	article	NOUN
brj-24693	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	1	10	guo	guo	PROPN
brj-24693	1	11	et	et	PROPN
brj-24693	1	12	al	al	PROPN
brj-24693	1	13	.	.	PROPN
brj-24693	2	1	(	(	PUNCT
brj-24693	2	2	2025	2025	NUM
brj-24693	2	3	)	)	PUNCT
brj-24693	2	4	.	.	PUNCT
brj-24693	3	1	“	"	PUNCT
brj-24693	3	2	imaging	imaging	NOUN
brj-24693	3	3	of	of	ADP
brj-24693	3	4	pomace	pomace	NOUN
brj-24693	3	5	for	for	ADP
brj-24693	3	6	nutrition	nutrition	NOUN
brj-24693	3	7	,	,	PUNCT
brj-24693	3	8	”	"	PUNCT
brj-24693	3	9	bioresources	bioresource	VERB
brj-24693	3	10	20(4	20(4	NOUN
brj-24693	3	11	)	)	PUNCT
brj-24693	3	12	,	,	PUNCT
brj-24693	3	13	10249	10249	NUM
brj-24693	3	14	-	-	SYM
brj-24693	3	15	10262	10262	NUM
brj-24693	3	16	.	.	PUNCT
brj-24693	4	1	10248	10248	NUM
brj-24693	4	2	fusion	fusion	NOUN
brj-24693	4	3	of	of	ADP
brj-24693	4	4	spectra	spectra	NOUN
brj-24693	4	5	and	and	CCONJ
brj-24693	4	6	texture	texture	NOUN
brj-24693	4	7	in	in	ADP
brj-24693	4	8	hyperspectral	hyperspectral	ADJ
brj-24693	4	9	imaging	imaging	NOUN
brj-24693	4	10	for	for	ADP
brj-24693	4	11	quantification	quantification	NOUN
brj-24693	4	12	of	of	ADP
brj-24693	4	13	nutritional	nutritional	ADJ
brj-24693	4	14	content	content	NOUN
brj-24693	4	15	in	in	ADP
brj-24693	4	16	alfalfa	alfalfa	NOUN
brj-24693	4	17	-	-	PUNCT
brj-24693	4	18	potato	potato	NOUN
brj-24693	4	19	pomace	pomace	NOUN
brj-24693	4	20	wenbin	wenbin	NOUN
brj-24693	4	21	guo	guo	PROPN
brj-24693	4	22	,	,	PUNCT
brj-24693	4	23	a	a	DET
brj-24693	4	24	,	,	PUNCT
brj-24693	4	25	b	b	NOUN
brj-24693	4	26	,	,	PUNCT
brj-24693	4	27	#	#	X
brj-24693	4	28	,	,	PUNCT
brj-24693	4	29	*	*	PUNCT
brj-24693	4	30	tianyu	tianyu	PROPN
brj-24693	4	31	shi	shi	PROPN
brj-24693	4	32	,	,	PUNCT
brj-24693	4	33	a	a	PRON
brj-24693	4	34	,	,	PUNCT
brj-24693	4	35	b	b	NOUN
brj-24693	4	36	,	,	PUNCT
brj-24693	4	37	#	#	NOUN
brj-24693	4	38	xiaowei	xiaowei	PROPN
brj-24693	4	39	jin	jin	PROPN
brj-24693	4	40	,	,	PUNCT
brj-24693	4	41	a	a	DET
brj-24693	4	42	,	,	PUNCT
brj-24693	4	43	b	b	PROPN
brj-24693	4	44	and	and	CCONJ
brj-24693	4	45	xuhui	xuhui	PROPN
brj-24693	4	46	zhang	zhang	PROPN
brj-24693	4	47	a	a	PROPN
brj-24693	4	48	,	,	PUNCT
brj-24693	4	49	b	b	X
brj-24693	4	50	*	*	PUNCT
brj-24693	4	51	corresponding	correspond	VERB
brj-24693	4	52	author	author	NOUN
brj-24693	4	53	:	:	PUNCT
brj-24693	4	54	wenbingwb2000@sina.com	wenbingwb2000@sina.com	X
brj-24693	4	55	;	;	PUNCT
brj-24693	4	56	#	#	NOUN
brj-24693	4	57	wenbin	wenbin	NOUN
brj-24693	4	58	guo	guo	PROPN
brj-24693	4	59	and	and	CCONJ
brj-24693	4	60	tianyu	tianyu	PROPN
brj-24693	4	61	shi	shi	PROPN
brj-24693	4	62	have	have	AUX
brj-24693	4	63	contributed	contribute	VERB
brj-24693	4	64	equally	equally	ADV
brj-24693	4	65	to	to	ADP
brj-24693	4	66	this	this	DET
brj-24693	4	67	work	work	NOUN
brj-24693	4	68	and	and	CCONJ
brj-24693	4	69	share	share	VERB
brj-24693	4	70	first	first	ADJ
brj-24693	4	71	authorship	authorship	NOUN
brj-24693	4	72	.	.	PUNCT
brj-24693	5	1	doi	doi	NOUN
brj-24693	5	2	:	:	PUNCT
brj-24693	5	3	10.15376	10.15376	NUM
brj-24693	5	4	/	/	SYM
brj-24693	5	5	biores.20.4.10249	biores.20.4.10249	PROPN
brj-24693	5	6	-	-	PUNCT
brj-24693	5	7	10262	10262	NUM
brj-24693	5	8	graphical	graphical	ADJ
brj-24693	5	9	abstract	abstract	ADJ
brj-24693	5	10	mailto:wenbingwb2000@sina.com	mailto:wenbingwb2000@sina.com	PROPN
brj-24693	5	11	peer	peer	NOUN
brj-24693	5	12	-	-	PUNCT
brj-24693	5	13	reviewed	review	VERB
brj-24693	5	14	article	article	NOUN
brj-24693	5	15	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	5	16	guo	guo	PROPN
brj-24693	5	17	et	et	PROPN
brj-24693	5	18	al	al	PROPN
brj-24693	5	19	.	.	PROPN
brj-24693	5	20	(	(	PUNCT
brj-24693	5	21	2025	2025	NUM
brj-24693	5	22	)	)	PUNCT
brj-24693	5	23	.	.	PUNCT
brj-24693	6	1	“	"	PUNCT
brj-24693	6	2	imaging	imaging	NOUN
brj-24693	6	3	of	of	ADP
brj-24693	6	4	pomace	pomace	NOUN
brj-24693	6	5	for	for	ADP
brj-24693	6	6	nutrition	nutrition	NOUN
brj-24693	6	7	,	,	PUNCT
brj-24693	6	8	”	"	PUNCT
brj-24693	6	9	bioresources	bioresource	VERB
brj-24693	6	10	20(4	20(4	NOUN
brj-24693	6	11	)	)	PUNCT
brj-24693	6	12	,	,	PUNCT
brj-24693	6	13	10249	10249	NUM
brj-24693	6	14	-	-	SYM
brj-24693	6	15	10262	10262	NUM
brj-24693	6	16	.	.	PUNCT
brj-24693	7	1	10249	10249	NUM
brj-24693	7	2	fusion	fusion	NOUN
brj-24693	7	3	of	of	ADP
brj-24693	7	4	spectra	spectra	NOUN
brj-24693	7	5	and	and	CCONJ
brj-24693	7	6	texture	texture	NOUN
brj-24693	7	7	in	in	ADP
brj-24693	7	8	hyperspectral	hyperspectral	ADJ
brj-24693	7	9	imaging	imaging	NOUN
brj-24693	7	10	for	for	ADP
brj-24693	7	11	quantification	quantification	NOUN
brj-24693	7	12	of	of	ADP
brj-24693	7	13	nutritional	nutritional	ADJ
brj-24693	7	14	content	content	NOUN
brj-24693	7	15	in	in	ADP
brj-24693	7	16	alfalfa	alfalfa	NOUN
brj-24693	7	17	-	-	PUNCT
brj-24693	7	18	potato	potato	NOUN
brj-24693	7	19	pomace	pomace	NOUN
brj-24693	7	20	wenbin	wenbin	NOUN
brj-24693	7	21	guo	guo	PROPN
brj-24693	7	22	,	,	PUNCT
brj-24693	7	23	a	a	DET
brj-24693	7	24	,	,	PUNCT
brj-24693	7	25	b	b	NOUN
brj-24693	7	26	,	,	PUNCT
brj-24693	7	27	#	#	X
brj-24693	7	28	,	,	PUNCT
brj-24693	7	29	*	*	PUNCT
brj-24693	7	30	tianyu	tianyu	PROPN
brj-24693	7	31	shi	shi	PROPN
brj-24693	7	32	,	,	PUNCT
brj-24693	7	33	a	a	PRON
brj-24693	7	34	,	,	PUNCT
brj-24693	7	35	b	b	NOUN
brj-24693	7	36	,	,	PUNCT
brj-24693	7	37	#	#	NOUN
brj-24693	7	38	xiaowei	xiaowei	PROPN
brj-24693	7	39	jin	jin	PROPN
brj-24693	7	40	,	,	PUNCT
brj-24693	7	41	a	a	DET
brj-24693	7	42	,	,	PUNCT
brj-24693	7	43	b	b	PROPN
brj-24693	7	44	and	and	CCONJ
brj-24693	7	45	xuhui	xuhui	PROPN
brj-24693	7	46	zhang	zhang	PROPN
brj-24693	8	1	a	a	PROPN
brj-24693	8	2	,	,	PUNCT
brj-24693	8	3	b	b	PROPN
brj-24693	8	4	rapid	rapid	ADJ
brj-24693	8	5	and	and	CCONJ
brj-24693	8	6	accurate	accurate	ADJ
brj-24693	8	7	detection	detection	NOUN
brj-24693	8	8	of	of	ADP
brj-24693	8	9	crude	crude	ADJ
brj-24693	8	10	protein	protein	NOUN
brj-24693	8	11	and	and	CCONJ
brj-24693	8	12	starch	starch	NOUN
brj-24693	8	13	content	content	NOUN
brj-24693	8	14	in	in	ADP
brj-24693	8	15	alfalfapotato	alfalfapotato	NOUN
brj-24693	8	16	pomace	pomace	NOUN
brj-24693	8	17	pellets	pellet	NOUN
brj-24693	8	18	is	be	AUX
brj-24693	8	19	crucial	crucial	ADJ
brj-24693	8	20	for	for	ADP
brj-24693	8	21	improving	improve	VERB
brj-24693	8	22	their	their	PRON
brj-24693	8	23	processing	processing	NOUN
brj-24693	8	24	and	and	CCONJ
brj-24693	8	25	enhancing	enhance	VERB
brj-24693	8	26	nutritional	nutritional	ADJ
brj-24693	8	27	quality	quality	NOUN
brj-24693	8	28	.	.	PUNCT
brj-24693	9	1	in	in	ADP
brj-24693	9	2	this	this	DET
brj-24693	9	3	study	study	NOUN
brj-24693	9	4	,	,	PUNCT
brj-24693	9	5	hyperspectral	hyperspectral	ADJ
brj-24693	9	6	images	image	NOUN
brj-24693	9	7	of	of	ADP
brj-24693	9	8	alfalfapotato	alfalfapotato	NOUN
brj-24693	9	9	pomace	pomace	NOUN
brj-24693	9	10	pellets	pellet	NOUN
brj-24693	9	11	in	in	ADP
brj-24693	9	12	the	the	DET
brj-24693	9	13	near	near	ADV
brj-24693	9	14	-	-	PUNCT
brj-24693	9	15	infrared	infrared	ADJ
brj-24693	9	16	(	(	PUNCT
brj-24693	9	17	nir	nir	NOUN
brj-24693	9	18	)	)	PUNCT
brj-24693	9	19	range	range	NOUN
brj-24693	9	20	(	(	PUNCT
brj-24693	9	21	900	900	NUM
brj-24693	9	22	to	to	PART
brj-24693	9	23	1700	1700	NUM
brj-24693	9	24	nm	nm	NOUN
brj-24693	9	25	)	)	PUNCT
brj-24693	9	26	were	be	AUX
brj-24693	9	27	acquired	acquire	VERB
brj-24693	9	28	.	.	PUNCT
brj-24693	10	1	a	a	DET
brj-24693	10	2	support	support	NOUN
brj-24693	10	3	vector	vector	NOUN
brj-24693	10	4	regression	regression	NOUN
brj-24693	10	5	(	(	PUNCT
brj-24693	10	6	svr	svr	PROPN
brj-24693	10	7	)	)	PUNCT
brj-24693	10	8	model	model	NOUN
brj-24693	10	9	was	be	AUX
brj-24693	10	10	developed	develop	VERB
brj-24693	10	11	by	by	ADP
brj-24693	10	12	combining	combine	VERB
brj-24693	10	13	various	various	ADJ
brj-24693	10	14	spectral	spectral	ADJ
brj-24693	10	15	preprocessing	preprocessing	NOUN
brj-24693	10	16	methods	method	NOUN
brj-24693	10	17	and	and	CCONJ
brj-24693	10	18	effective	effective	ADJ
brj-24693	10	19	wavelength	wavelength	NOUN
brj-24693	10	20	selection	selection	NOUN
brj-24693	10	21	techniques	technique	NOUN
brj-24693	10	22	.	.	PUNCT
brj-24693	11	1	textural	textural	ADJ
brj-24693	11	2	features	feature	NOUN
brj-24693	11	3	from	from	ADP
brj-24693	11	4	the	the	DET
brj-24693	11	5	surface	surface	NOUN
brj-24693	11	6	of	of	ADP
brj-24693	11	7	the	the	DET
brj-24693	11	8	first	first	ADJ
brj-24693	11	9	principal	principal	ADJ
brj-24693	11	10	component	component	NOUN
brj-24693	11	11	(	(	PUNCT
brj-24693	11	12	pc1	pc1	NOUN
brj-24693	11	13	)	)	PUNCT
brj-24693	11	14	image	image	NOUN
brj-24693	11	15	sample	sample	NOUN
brj-24693	11	16	were	be	AUX
brj-24693	11	17	also	also	ADV
brj-24693	11	18	extracted	extract	VERB
brj-24693	11	19	using	use	VERB
brj-24693	11	20	the	the	DET
brj-24693	11	21	gray	gray	ADJ
brj-24693	11	22	-	-	PUNCT
brj-24693	11	23	level	level	NOUN
brj-24693	11	24	co	co	NOUN
brj-24693	11	25	-	-	NOUN
brj-24693	11	26	occurrence	occurrence	ADJ
brj-24693	11	27	matrix	matrix	NOUN
brj-24693	11	28	(	(	PUNCT
brj-24693	11	29	glcm	glcm	PROPN
brj-24693	11	30	)	)	PUNCT
brj-24693	11	31	and	and	CCONJ
brj-24693	11	32	fused	fuse	VERB
brj-24693	11	33	with	with	ADP
brj-24693	11	34	the	the	DET
brj-24693	11	35	spectral	spectral	ADJ
brj-24693	11	36	data	datum	NOUN
brj-24693	11	37	,	,	PUNCT
brj-24693	11	38	significantly	significantly	ADV
brj-24693	11	39	improving	improve	VERB
brj-24693	11	40	the	the	DET
brj-24693	11	41	model	model	NOUN
brj-24693	11	42	’s	’s	PART
brj-24693	11	43	prediction	prediction	NOUN
brj-24693	11	44	accuracy	accuracy	NOUN
brj-24693	11	45	.	.	PUNCT
brj-24693	12	1	the	the	DET
brj-24693	12	2	results	result	NOUN
brj-24693	12	3	indicated	indicate	VERB
brj-24693	12	4	that	that	SCONJ
brj-24693	12	5	the	the	DET
brj-24693	12	6	snv	snv	PROPN
brj-24693	12	7	-	-	PUNCT
brj-24693	12	8	gb	gb	NOUN
brj-24693	12	9	-	-	PUNCT
brj-24693	12	10	cor	cor	NOUN
brj-24693	12	11	-	-	ADJ
brj-24693	12	12	svr	svr	PROPN
brj-24693	12	13	model	model	NOUN
brj-24693	12	14	performed	perform	VERB
brj-24693	12	15	best	well	ADV
brj-24693	12	16	in	in	ADP
brj-24693	12	17	predicting	predict	VERB
brj-24693	12	18	crude	crude	ADJ
brj-24693	12	19	protein	protein	NOUN
brj-24693	12	20	content	content	NOUN
brj-24693	12	21	,	,	PUNCT
brj-24693	12	22	with	with	ADP
brj-24693	12	23	an	an	DET
brj-24693	12	24	r2p	r2p	NOUN
brj-24693	12	25	of	of	ADP
brj-24693	12	26	0.907	0.907	NUM
brj-24693	12	27	and	and	CCONJ
brj-24693	12	28	an	an	DET
brj-24693	12	29	rmsep	rmsep	NOUN
brj-24693	12	30	of	of	ADP
brj-24693	12	31	0.5548	0.5548	NUM
brj-24693	12	32	,	,	PUNCT
brj-24693	12	33	while	while	SCONJ
brj-24693	12	34	the	the	DET
brj-24693	12	35	snv	snv	NOUN
brj-24693	12	36	-	-	PUNCT
brj-24693	12	37	cars	car	NOUN
brj-24693	12	38	-	-	PUNCT
brj-24693	12	39	ent	ent	NOUN
brj-24693	12	40	-	-	PUNCT
brj-24693	12	41	svr	svr	NOUN
brj-24693	12	42	model	model	NOUN
brj-24693	12	43	was	be	AUX
brj-24693	12	44	most	most	ADV
brj-24693	12	45	effective	effective	ADJ
brj-24693	12	46	in	in	ADP
brj-24693	12	47	predicting	predict	VERB
brj-24693	12	48	starch	starch	NOUN
brj-24693	12	49	content	content	NOUN
brj-24693	12	50	,	,	PUNCT
brj-24693	12	51	with	with	ADP
brj-24693	12	52	an	an	DET
brj-24693	12	53	r2p	r2p	NOUN
brj-24693	12	54	of	of	ADP
brj-24693	12	55	0.7915	0.7915	NUM
brj-24693	12	56	and	and	CCONJ
brj-24693	12	57	an	an	DET
brj-24693	12	58	rmsep	rmsep	NOUN
brj-24693	12	59	of	of	ADP
brj-24693	12	60	1.3970	1.3970	NUM
brj-24693	12	61	.	.	PUNCT
brj-24693	13	1	doi	doi	NOUN
brj-24693	13	2	:	:	PUNCT
brj-24693	13	3	10.15376	10.15376	NUM
brj-24693	13	4	/	/	SYM
brj-24693	13	5	biores.20.4.10249	biores.20.4.10249	PROPN
brj-24693	13	6	-	-	PUNCT
brj-24693	13	7	10262	10262	NUM
brj-24693	13	8	keywords	keyword	NOUN
brj-24693	13	9	:	:	PUNCT
brj-24693	13	10	hyperspectral	hyperspectral	ADJ
brj-24693	13	11	image	image	NOUN
brj-24693	13	12	technology	technology	NOUN
brj-24693	13	13	;	;	PUNCT
brj-24693	13	14	near	near	ADV
brj-24693	13	15	-	-	PUNCT
brj-24693	13	16	infrared	infrared	ADJ
brj-24693	13	17	spectroscopy	spectroscopy	NOUN
brj-24693	13	18	;	;	PUNCT
brj-24693	13	19	texture	texture	NOUN
brj-24693	13	20	;	;	PUNCT
brj-24693	13	21	gray	gray	ADJ
brj-24693	13	22	-	-	PUNCT
brj-24693	13	23	level	level	NOUN
brj-24693	13	24	co	co	NOUN
brj-24693	13	25	-	-	NOUN
brj-24693	13	26	occurrence	occurrence	ADJ
brj-24693	13	27	matrix	matrix	NOUN
brj-24693	13	28	;	;	PUNCT
brj-24693	13	29	crude	crude	ADJ
brj-24693	13	30	protein	protein	NOUN
brj-24693	13	31	;	;	PUNCT
brj-24693	13	32	starch	starch	NOUN
brj-24693	13	33	contact	contact	NOUN
brj-24693	13	34	information	information	NOUN
brj-24693	13	35	:	:	PUNCT
brj-24693	13	36	a	a	X
brj-24693	13	37	:	:	PUNCT
brj-24693	13	38	college	college	NOUN
brj-24693	13	39	of	of	ADP
brj-24693	13	40	electromechanical	electromechanical	ADJ
brj-24693	13	41	engineering	engineering	NOUN
brj-24693	13	42	,	,	PUNCT
brj-24693	13	43	inner	inner	PROPN
brj-24693	13	44	mongolia	mongolia	PROPN
brj-24693	13	45	agricultural	agricultural	PROPN
brj-24693	13	46	university	university	PROPN
brj-24693	13	47	,	,	PUNCT
brj-24693	13	48	hohhot	hohhot	ADJ
brj-24693	13	49	010018	010018	NUM
brj-24693	13	50	,	,	PUNCT
brj-24693	13	51	inner	inner	PROPN
brj-24693	13	52	mongolia	mongolia	PROPN
brj-24693	13	53	,	,	PUNCT
brj-24693	13	54	china	china	PROPN
brj-24693	13	55	;	;	PUNCT
brj-24693	13	56	b	b	X
brj-24693	13	57	:	:	PUNCT
brj-24693	13	58	inner	inner	PROPN
brj-24693	13	59	mongolia	mongolia	PROPN
brj-24693	13	60	engineering	engineering	PROPN
brj-24693	13	61	research	research	NOUN
brj-24693	13	62	center	center	NOUN
brj-24693	13	63	of	of	ADP
brj-24693	13	64	intelligent	intelligent	ADJ
brj-24693	13	65	equipment	equipment	NOUN
brj-24693	13	66	for	for	ADP
brj-24693	13	67	the	the	DET
brj-24693	13	68	entire	entire	ADJ
brj-24693	13	69	process	process	NOUN
brj-24693	13	70	of	of	ADP
brj-24693	13	71	forage	forage	NOUN
brj-24693	13	72	and	and	CCONJ
brj-24693	13	73	feed	feed	NOUN
brj-24693	13	74	production	production	NOUN
brj-24693	13	75	;	;	PUNCT
brj-24693	13	76	*	*	PUNCT
brj-24693	13	77	corresponding	correspond	VERB
brj-24693	13	78	author	author	NOUN
brj-24693	13	79	:	:	PUNCT
brj-24693	13	80	wenbingwb2000@sina.com	wenbingwb2000@sina.com	X
brj-24693	13	81	;	;	PUNCT
brj-24693	13	82	#	#	NOUN
brj-24693	13	83	wenbin	wenbin	NOUN
brj-24693	13	84	guo	guo	PROPN
brj-24693	13	85	and	and	CCONJ
brj-24693	13	86	tianyu	tianyu	PROPN
brj-24693	13	87	shi	shi	PROPN
brj-24693	13	88	have	have	AUX
brj-24693	13	89	contributed	contribute	VERB
brj-24693	13	90	equally	equally	ADV
brj-24693	13	91	to	to	ADP
brj-24693	13	92	this	this	DET
brj-24693	13	93	work	work	NOUN
brj-24693	13	94	and	and	CCONJ
brj-24693	13	95	share	share	VERB
brj-24693	13	96	first	first	ADJ
brj-24693	13	97	authorship	authorship	NOUN
brj-24693	13	98	.	.	PUNCT
brj-24693	14	1	introduction	introduction	NOUN
brj-24693	14	2	with	with	ADP
brj-24693	14	3	the	the	DET
brj-24693	14	4	continuous	continuous	ADJ
brj-24693	14	5	development	development	NOUN
brj-24693	14	6	of	of	ADP
brj-24693	14	7	the	the	DET
brj-24693	14	8	feed	feed	NOUN
brj-24693	14	9	industry	industry	NOUN
brj-24693	14	10	and	and	CCONJ
brj-24693	14	11	animal	animal	NOUN
brj-24693	14	12	husbandry	husbandry	NOUN
brj-24693	14	13	,	,	PUNCT
brj-24693	14	14	the	the	DET
brj-24693	14	15	nutritional	nutritional	ADJ
brj-24693	14	16	value	value	NOUN
brj-24693	14	17	of	of	ADP
brj-24693	14	18	pellet	pellet	NOUN
brj-24693	14	19	feed	feed	NOUN
brj-24693	14	20	has	have	AUX
brj-24693	14	21	gained	gain	VERB
brj-24693	14	22	increasing	increase	VERB
brj-24693	14	23	emphasis	emphasis	NOUN
brj-24693	14	24	.	.	PUNCT
brj-24693	15	1	this	this	DET
brj-24693	15	2	value	value	NOUN
brj-24693	15	3	not	not	PART
brj-24693	15	4	only	only	ADV
brj-24693	15	5	directly	directly	ADV
brj-24693	15	6	affects	affect	VERB
brj-24693	15	7	the	the	DET
brj-24693	15	8	growth	growth	NOUN
brj-24693	15	9	and	and	CCONJ
brj-24693	15	10	health	health	NOUN
brj-24693	15	11	of	of	ADP
brj-24693	15	12	animals	animal	NOUN
brj-24693	15	13	but	but	CCONJ
brj-24693	15	14	also	also	ADV
brj-24693	15	15	plays	play	VERB
brj-24693	15	16	a	a	DET
brj-24693	15	17	crucial	crucial	ADJ
brj-24693	15	18	role	role	NOUN
brj-24693	15	19	in	in	ADP
brj-24693	15	20	the	the	DET
brj-24693	15	21	quality	quality	NOUN
brj-24693	15	22	of	of	ADP
brj-24693	15	23	livestock	livestock	NOUN
brj-24693	15	24	products	product	NOUN
brj-24693	15	25	.	.	PUNCT
brj-24693	16	1	consequently	consequently	ADV
brj-24693	16	2	,	,	PUNCT
brj-24693	16	3	detecting	detect	VERB
brj-24693	16	4	and	and	CCONJ
brj-24693	16	5	enhancing	enhance	VERB
brj-24693	16	6	the	the	DET
brj-24693	16	7	nutritional	nutritional	ADJ
brj-24693	16	8	value	value	NOUN
brj-24693	16	9	of	of	ADP
brj-24693	16	10	pellet	pellet	NOUN
brj-24693	16	11	feed	feed	NOUN
brj-24693	16	12	promptly	promptly	ADV
brj-24693	16	13	has	have	AUX
brj-24693	16	14	become	become	VERB
brj-24693	16	15	a	a	DET
brj-24693	16	16	key	key	ADJ
brj-24693	16	17	focus	focus	NOUN
brj-24693	16	18	of	of	ADP
brj-24693	16	19	current	current	ADJ
brj-24693	16	20	research	research	NOUN
brj-24693	16	21	.	.	PUNCT
brj-24693	17	1	as	as	ADP
brj-24693	17	2	important	important	ADJ
brj-24693	17	3	feed	feed	NOUN
brj-24693	17	4	resources	resource	NOUN
brj-24693	17	5	,	,	PUNCT
brj-24693	17	6	alfalfa	alfalfa	NOUN
brj-24693	17	7	and	and	CCONJ
brj-24693	17	8	potato	potato	NOUN
brj-24693	17	9	pomace	pomace	NOUN
brj-24693	17	10	have	have	AUX
brj-24693	17	11	attracted	attract	VERB
brj-24693	17	12	significant	significant	ADJ
brj-24693	17	13	attention	attention	NOUN
brj-24693	17	14	due	due	ADP
brj-24693	17	15	to	to	ADP
brj-24693	17	16	their	their	PRON
brj-24693	17	17	rich	rich	ADJ
brj-24693	17	18	nutritional	nutritional	ADJ
brj-24693	17	19	content	content	NOUN
brj-24693	17	20	and	and	CCONJ
brj-24693	17	21	economic	economic	ADJ
brj-24693	17	22	benefits	benefit	NOUN
brj-24693	17	23	.	.	PUNCT
brj-24693	18	1	alfalfa	alfalfa	PROPN
brj-24693	18	2	is	be	AUX
brj-24693	18	3	widely	widely	ADV
brj-24693	18	4	used	use	VERB
brj-24693	18	5	in	in	ADP
brj-24693	18	6	feed	feed	NOUN
brj-24693	18	7	because	because	SCONJ
brj-24693	18	8	of	of	ADP
brj-24693	18	9	its	its	PRON
brj-24693	18	10	high	high	ADJ
brj-24693	18	11	crude	crude	ADJ
brj-24693	18	12	protein	protein	NOUN
brj-24693	18	13	content	content	NOUN
brj-24693	18	14	and	and	CCONJ
brj-24693	18	15	low	low	ADJ
brj-24693	18	16	neutral	neutral	ADJ
brj-24693	18	17	detergent	detergent	NOUN
brj-24693	18	18	fiber	fiber	NOUN
brj-24693	18	19	(	(	PUNCT
brj-24693	18	20	hadidi	hadidi	PROPN
brj-24693	18	21	et	et	PROPN
brj-24693	18	22	al	al	PROPN
brj-24693	18	23	.	.	PROPN
brj-24693	18	24	2023	2023	NUM
brj-24693	18	25	)	)	PUNCT
brj-24693	18	26	.	.	PUNCT
brj-24693	19	1	potato	potato	NOUN
brj-24693	19	2	pomace	pomace	NOUN
brj-24693	19	3	,	,	PUNCT
brj-24693	19	4	a	a	DET
brj-24693	19	5	byproduct	byproduct	NOUN
brj-24693	19	6	of	of	ADP
brj-24693	19	7	starch	starch	NOUN
brj-24693	19	8	processing	processing	NOUN
brj-24693	19	9	,	,	PUNCT
brj-24693	19	10	is	be	AUX
brj-24693	19	11	also	also	ADV
brj-24693	19	12	commonly	commonly	ADV
brj-24693	19	13	used	use	VERB
brj-24693	19	14	in	in	ADP
brj-24693	19	15	livestock	livestock	NOUN
brj-24693	19	16	feed	feed	NOUN
brj-24693	19	17	because	because	SCONJ
brj-24693	19	18	of	of	ADP
brj-24693	19	19	its	its	PRON
brj-24693	19	20	nutrients	nutrient	NOUN
brj-24693	19	21	,	,	PUNCT
brj-24693	19	22	including	include	VERB
brj-24693	19	23	starch	starch	NOUN
brj-24693	19	24	,	,	PUNCT
brj-24693	19	25	cellulose	cellulose	NOUN
brj-24693	19	26	,	,	PUNCT
brj-24693	19	27	protein	protein	NOUN
brj-24693	19	28	,	,	PUNCT
brj-24693	19	29	and	and	CCONJ
brj-24693	19	30	amino	amino	ADJ
brj-24693	19	31	acids	acid	NOUN
brj-24693	19	32	(	(	PUNCT
brj-24693	19	33	guo	guo	PROPN
brj-24693	19	34	et	et	PROPN
brj-24693	19	35	al	al	PROPN
brj-24693	19	36	.	.	PROPN
brj-24693	19	37	2017	2017	NUM
brj-24693	19	38	)	)	PUNCT
brj-24693	19	39	.	.	PUNCT
brj-24693	20	1	therefore	therefore	ADV
brj-24693	20	2	,	,	PUNCT
brj-24693	20	3	mixing	mix	VERB
brj-24693	20	4	alfalfa	alfalfa	NOUN
brj-24693	20	5	meal	meal	NOUN
brj-24693	20	6	,	,	PUNCT
brj-24693	20	7	which	which	PRON
brj-24693	20	8	is	be	AUX
brj-24693	20	9	not	not	PART
brj-24693	20	10	easily	easily	ADV
brj-24693	20	11	molded	mold	VERB
brj-24693	20	12	,	,	PUNCT
brj-24693	20	13	with	with	ADP
brj-24693	20	14	potato	potato	NOUN
brj-24693	20	15	pomace	pomace	NOUN
brj-24693	20	16	for	for	ADP
brj-24693	20	17	pellet	pellet	NOUN
brj-24693	20	18	feed	feed	NOUN
brj-24693	20	19	production	production	NOUN
brj-24693	20	20	not	not	PART
brj-24693	20	21	only	only	ADV
brj-24693	20	22	takes	take	VERB
brj-24693	20	23	advantage	advantage	NOUN
brj-24693	20	24	of	of	ADP
brj-24693	20	25	the	the	DET
brj-24693	20	26	natural	natural	ADJ
brj-24693	20	27	binding	binding	ADJ
brj-24693	20	28	effect	effect	NOUN
brj-24693	20	29	between	between	ADP
brj-24693	20	30	these	these	DET
brj-24693	20	31	materials	material	NOUN
brj-24693	20	32	to	to	PART
brj-24693	20	33	reduce	reduce	VERB
brj-24693	20	34	pelleting	pelleting	NOUN
brj-24693	20	35	costs	cost	NOUN
brj-24693	20	36	but	but	CCONJ
brj-24693	20	37	also	also	ADV
brj-24693	20	38	addresses	address	VERB
brj-24693	20	39	issues	issue	NOUN
brj-24693	20	40	like	like	ADP
brj-24693	20	41	nutritional	nutritional	ADJ
brj-24693	20	42	imbalance	imbalance	NOUN
brj-24693	20	43	and	and	CCONJ
brj-24693	20	44	low	low	ADJ
brj-24693	20	45	feeding	feeding	NOUN
brj-24693	20	46	rates	rate	NOUN
brj-24693	20	47	caused	cause	VERB
brj-24693	20	48	by	by	ADP
brj-24693	20	49	using	use	VERB
brj-24693	20	50	a	a	DET
brj-24693	20	51	single	single	ADJ
brj-24693	20	52	type	type	NOUN
brj-24693	20	53	of	of	ADP
brj-24693	20	54	feed	feed	NOUN
brj-24693	20	55	,	,	PUNCT
brj-24693	20	56	thereby	thereby	ADV
brj-24693	20	57	improving	improve	VERB
brj-24693	20	58	feed	feed	NOUN
brj-24693	20	59	quality	quality	NOUN
brj-24693	20	60	.	.	PUNCT
brj-24693	21	1	mailto:wenbingwb2000@sina.com	mailto:wenbingwb2000@sina.com	PROPN
brj-24693	21	2	peer	peer	NOUN
brj-24693	21	3	-	-	PUNCT
brj-24693	21	4	reviewed	review	VERB
brj-24693	21	5	article	article	NOUN
brj-24693	21	6	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	21	7	guo	guo	PROPN
brj-24693	21	8	et	et	PROPN
brj-24693	21	9	al	al	PROPN
brj-24693	21	10	.	.	PROPN
brj-24693	22	1	(	(	PUNCT
brj-24693	22	2	2025	2025	NUM
brj-24693	22	3	)	)	PUNCT
brj-24693	22	4	.	.	PUNCT
brj-24693	23	1	“	"	PUNCT
brj-24693	23	2	imaging	imaging	NOUN
brj-24693	23	3	of	of	ADP
brj-24693	23	4	pomace	pomace	NOUN
brj-24693	23	5	for	for	ADP
brj-24693	23	6	nutrition	nutrition	NOUN
brj-24693	23	7	,	,	PUNCT
brj-24693	23	8	”	"	PUNCT
brj-24693	23	9	bioresources	bioresource	VERB
brj-24693	23	10	20(4	20(4	NOUN
brj-24693	23	11	)	)	PUNCT
brj-24693	23	12	,	,	PUNCT
brj-24693	23	13	10249	10249	NUM
brj-24693	23	14	-	-	SYM
brj-24693	23	15	10262	10262	NUM
brj-24693	23	16	.	.	PUNCT
brj-24693	24	1	10250	10250	NUM
brj-24693	24	2	accurate	accurate	ADJ
brj-24693	24	3	testing	testing	NOUN
brj-24693	24	4	of	of	ADP
brj-24693	24	5	nutrient	nutrient	NOUN
brj-24693	24	6	content	content	NOUN
brj-24693	24	7	is	be	AUX
brj-24693	24	8	essential	essential	ADJ
brj-24693	24	9	in	in	ADP
brj-24693	24	10	the	the	DET
brj-24693	24	11	process	process	NOUN
brj-24693	24	12	of	of	ADP
brj-24693	24	13	enhancing	enhance	VERB
brj-24693	24	14	the	the	DET
brj-24693	24	15	nutritional	nutritional	ADJ
brj-24693	24	16	value	value	NOUN
brj-24693	24	17	of	of	ADP
brj-24693	24	18	pellet	pellet	NOUN
brj-24693	24	19	feeds	feed	NOUN
brj-24693	24	20	.	.	PUNCT
brj-24693	25	1	taking	take	VERB
brj-24693	25	2	alfalfa	alfalfa	NOUN
brj-24693	25	3	-	-	PUNCT
brj-24693	25	4	potato	potato	NOUN
brj-24693	25	5	pomace	pomace	NOUN
brj-24693	25	6	pellets	pellet	NOUN
brj-24693	25	7	as	as	ADP
brj-24693	25	8	an	an	DET
brj-24693	25	9	example	example	NOUN
brj-24693	25	10	,	,	PUNCT
brj-24693	25	11	the	the	DET
brj-24693	25	12	crude	crude	ADJ
brj-24693	25	13	protein	protein	NOUN
brj-24693	25	14	and	and	CCONJ
brj-24693	25	15	starch	starch	NOUN
brj-24693	25	16	content	content	NOUN
brj-24693	25	17	are	be	AUX
brj-24693	25	18	key	key	ADJ
brj-24693	25	19	nutritional	nutritional	ADJ
brj-24693	25	20	quality	quality	NOUN
brj-24693	25	21	indicators	indicator	NOUN
brj-24693	25	22	,	,	PUNCT
brj-24693	25	23	directly	directly	ADV
brj-24693	25	24	influencing	influence	VERB
brj-24693	25	25	both	both	DET
brj-24693	25	26	the	the	DET
brj-24693	25	27	nutritional	nutritional	ADJ
brj-24693	25	28	quality	quality	NOUN
brj-24693	25	29	of	of	ADP
brj-24693	25	30	the	the	DET
brj-24693	25	31	feed	feed	NOUN
brj-24693	25	32	and	and	CCONJ
brj-24693	25	33	the	the	DET
brj-24693	25	34	growth	growth	NOUN
brj-24693	25	35	and	and	CCONJ
brj-24693	25	36	development	development	NOUN
brj-24693	25	37	of	of	ADP
brj-24693	25	38	animals	animal	NOUN
brj-24693	25	39	(	(	PUNCT
brj-24693	25	40	rocha	rocha	PROPN
brj-24693	25	41	et	et	PROPN
brj-24693	25	42	al	al	PROPN
brj-24693	25	43	.	.	PROPN
brj-24693	25	44	2022	2022	NUM
brj-24693	25	45	)	)	PUNCT
brj-24693	25	46	.	.	PUNCT
brj-24693	26	1	however	however	ADV
brj-24693	26	2	,	,	PUNCT
brj-24693	26	3	these	these	DET
brj-24693	26	4	key	key	ADJ
brj-24693	26	5	indicators	indicator	NOUN
brj-24693	26	6	are	be	AUX
brj-24693	26	7	typically	typically	ADV
brj-24693	26	8	tested	test	VERB
brj-24693	26	9	using	use	VERB
brj-24693	26	10	chemical	chemical	ADJ
brj-24693	26	11	methods	method	NOUN
brj-24693	26	12	,	,	PUNCT
brj-24693	26	13	which	which	PRON
brj-24693	26	14	are	be	AUX
brj-24693	26	15	complex	complex	ADJ
brj-24693	26	16	,	,	PUNCT
brj-24693	26	17	time	time	NOUN
brj-24693	26	18	-	-	PUNCT
brj-24693	26	19	consuming	consume	VERB
brj-24693	26	20	,	,	PUNCT
brj-24693	26	21	and	and	CCONJ
brj-24693	26	22	costly	costly	ADJ
brj-24693	26	23	.	.	PUNCT
brj-24693	27	1	this	this	DET
brj-24693	27	2	constraint	constraint	NOUN
brj-24693	27	3	limits	limit	VERB
brj-24693	27	4	the	the	DET
brj-24693	27	5	ability	ability	NOUN
brj-24693	27	6	to	to	PART
brj-24693	27	7	quickly	quickly	ADV
brj-24693	27	8	assess	assess	VERB
brj-24693	27	9	nutrients	nutrient	NOUN
brj-24693	27	10	during	during	ADP
brj-24693	27	11	the	the	DET
brj-24693	27	12	development	development	NOUN
brj-24693	27	13	of	of	ADP
brj-24693	27	14	high	high	ADJ
brj-24693	27	15	-	-	PUNCT
brj-24693	27	16	quality	quality	NOUN
brj-24693	27	17	pellet	pellet	NOUN
brj-24693	27	18	feeds	feed	NOUN
brj-24693	27	19	.	.	PUNCT
brj-24693	28	1	therefore	therefore	ADV
brj-24693	28	2	,	,	PUNCT
brj-24693	28	3	finding	find	VERB
brj-24693	28	4	a	a	DET
brj-24693	28	5	fast	fast	ADJ
brj-24693	28	6	,	,	PUNCT
brj-24693	28	7	accurate	accurate	ADJ
brj-24693	28	8	,	,	PUNCT
brj-24693	28	9	and	and	CCONJ
brj-24693	28	10	stable	stable	ADJ
brj-24693	28	11	method	method	NOUN
brj-24693	28	12	for	for	ADP
brj-24693	28	13	nutritional	nutritional	ADJ
brj-24693	28	14	quality	quality	NOUN
brj-24693	28	15	testing	testing	NOUN
brj-24693	28	16	,	,	PUNCT
brj-24693	28	17	such	such	ADJ
brj-24693	28	18	as	as	ADP
brj-24693	28	19	through	through	ADP
brj-24693	28	20	hyperspectral	hyperspectral	ADJ
brj-24693	28	21	imaging	imaging	NOUN
brj-24693	28	22	(	(	PUNCT
brj-24693	28	23	hsi	hsi	PROPN
brj-24693	28	24	)	)	PUNCT
brj-24693	28	25	and	and	CCONJ
brj-24693	28	26	other	other	ADJ
brj-24693	28	27	techniques	technique	NOUN
brj-24693	28	28	,	,	PUNCT
brj-24693	28	29	has	have	AUX
brj-24693	28	30	become	become	VERB
brj-24693	28	31	crucial	crucial	ADJ
brj-24693	28	32	to	to	ADP
brj-24693	28	33	optimizing	optimize	VERB
brj-24693	28	34	pellet	pellet	NOUN
brj-24693	28	35	feed	feed	NOUN
brj-24693	28	36	processing	processing	NOUN
brj-24693	28	37	.	.	PUNCT
brj-24693	29	1	the	the	DET
brj-24693	29	2	hyperspectral	hyperspectral	ADJ
brj-24693	29	3	imaging	imaging	NOUN
brj-24693	29	4	(	(	PUNCT
brj-24693	29	5	hsi	hsi	PROPN
brj-24693	29	6	)	)	PUNCT
brj-24693	29	7	technique	technique	NOUN
brj-24693	29	8	,	,	PUNCT
brj-24693	29	9	which	which	PRON
brj-24693	29	10	integrates	integrate	VERB
brj-24693	29	11	both	both	DET
brj-24693	29	12	spectral	spectral	ADJ
brj-24693	29	13	and	and	CCONJ
brj-24693	29	14	image	image	NOUN
brj-24693	29	15	information	information	NOUN
brj-24693	29	16	,	,	PUNCT
brj-24693	29	17	is	be	AUX
brj-24693	29	18	an	an	DET
brj-24693	29	19	advanced	advanced	ADJ
brj-24693	29	20	and	and	CCONJ
brj-24693	29	21	rapid	rapid	ADJ
brj-24693	29	22	method	method	NOUN
brj-24693	29	23	for	for	ADP
brj-24693	29	24	nondestructive	nondestructive	ADJ
brj-24693	29	25	testing	testing	NOUN
brj-24693	29	26	.	.	PUNCT
brj-24693	30	1	it	it	PRON
brj-24693	30	2	has	have	AUX
brj-24693	30	3	been	be	AUX
brj-24693	30	4	widely	widely	ADV
brj-24693	30	5	applied	apply	VERB
brj-24693	30	6	in	in	ADP
brj-24693	30	7	feed	feed	NOUN
brj-24693	30	8	quality	quality	NOUN
brj-24693	30	9	assessment	assessment	NOUN
brj-24693	30	10	(	(	PUNCT
brj-24693	30	11	yan	yan	PROPN
brj-24693	30	12	et	et	PROPN
brj-24693	30	13	al	al	PROPN
brj-24693	30	14	.	.	PROPN
brj-24693	30	15	2019	2019	NUM
brj-24693	30	16	)	)	PUNCT
brj-24693	30	17	,	,	PUNCT
brj-24693	30	18	particularly	particularly	ADV
brj-24693	30	19	for	for	ADP
brj-24693	30	20	predicting	predict	VERB
brj-24693	30	21	protein	protein	NOUN
brj-24693	30	22	content	content	NOUN
brj-24693	30	23	(	(	PUNCT
brj-24693	30	24	fu	fu	PROPN
brj-24693	30	25	et	et	PROPN
brj-24693	30	26	al	al	PROPN
brj-24693	30	27	.	.	PROPN
brj-24693	30	28	2017	2017	NUM
brj-24693	30	29	)	)	PUNCT
brj-24693	30	30	,	,	PUNCT
brj-24693	30	31	ph	ph	NOUN
brj-24693	30	32	value	value	NOUN
brj-24693	30	33	(	(	PUNCT
brj-24693	30	34	zhang	zhang	PROPN
brj-24693	30	35	2023	2023	NUM
brj-24693	30	36	)	)	PUNCT
brj-24693	30	37	,	,	PUNCT
brj-24693	30	38	and	and	CCONJ
brj-24693	30	39	moisture	moisture	NOUN
brj-24693	30	40	content	content	NOUN
brj-24693	30	41	(	(	PUNCT
brj-24693	30	42	yu	yu	PROPN
brj-24693	30	43	et	et	PROPN
brj-24693	30	44	al	al	PROPN
brj-24693	30	45	.	.	PROPN
brj-24693	30	46	2023	2023	NUM
brj-24693	30	47	)	)	PUNCT
brj-24693	30	48	.	.	PUNCT
brj-24693	31	1	these	these	DET
brj-24693	31	2	studies	study	NOUN
brj-24693	31	3	have	have	AUX
brj-24693	31	4	demonstrated	demonstrate	VERB
brj-24693	31	5	the	the	DET
brj-24693	31	6	feasibility	feasibility	NOUN
brj-24693	31	7	of	of	ADP
brj-24693	31	8	using	use	VERB
brj-24693	31	9	hsi	hsi	PROPN
brj-24693	31	10	to	to	PART
brj-24693	31	11	predict	predict	VERB
brj-24693	31	12	crude	crude	ADJ
brj-24693	31	13	protein	protein	NOUN
brj-24693	31	14	and	and	CCONJ
brj-24693	31	15	starch	starch	NOUN
brj-24693	31	16	content	content	NOUN
brj-24693	31	17	in	in	ADP
brj-24693	31	18	pelleted	pellete	VERB
brj-24693	31	19	feeds	feed	NOUN
brj-24693	31	20	.	.	PUNCT
brj-24693	32	1	however	however	ADV
brj-24693	32	2	,	,	PUNCT
brj-24693	32	3	most	most	ADJ
brj-24693	32	4	existing	exist	VERB
brj-24693	32	5	prediction	prediction	NOUN
brj-24693	32	6	models	model	NOUN
brj-24693	32	7	are	be	AUX
brj-24693	32	8	based	base	VERB
brj-24693	32	9	solely	solely	ADV
brj-24693	32	10	on	on	ADP
brj-24693	32	11	spectral	spectral	ADJ
brj-24693	32	12	data	datum	NOUN
brj-24693	32	13	,	,	PUNCT
brj-24693	32	14	which	which	PRON
brj-24693	32	15	captures	capture	VERB
brj-24693	32	16	only	only	ADV
brj-24693	32	17	the	the	DET
brj-24693	32	18	chemical	chemical	ADJ
brj-24693	32	19	compositional	compositional	ADJ
brj-24693	32	20	information	information	NOUN
brj-24693	32	21	of	of	ADP
brj-24693	32	22	the	the	DET
brj-24693	32	23	particles	particle	NOUN
brj-24693	32	24	.	.	PUNCT
brj-24693	33	1	as	as	ADP
brj-24693	33	2	a	a	DET
brj-24693	33	3	result	result	NOUN
brj-24693	33	4	,	,	PUNCT
brj-24693	33	5	the	the	DET
brj-24693	33	6	surface	surface	NOUN
brj-24693	33	7	microtexture	microtexture	NOUN
brj-24693	33	8	features	feature	NOUN
brj-24693	33	9	of	of	ADP
brj-24693	33	10	the	the	DET
brj-24693	33	11	particles	particle	NOUN
brj-24693	33	12	and	and	CCONJ
brj-24693	33	13	their	their	PRON
brj-24693	33	14	spatial	spatial	ADJ
brj-24693	33	15	distribution	distribution	NOUN
brj-24693	33	16	,	,	PUNCT
brj-24693	33	17	which	which	PRON
brj-24693	33	18	are	be	AUX
brj-24693	33	19	also	also	ADV
brj-24693	33	20	important	important	ADJ
brj-24693	33	21	,	,	PUNCT
brj-24693	33	22	are	be	AUX
brj-24693	33	23	not	not	PART
brj-24693	33	24	analyzed	analyze	VERB
brj-24693	33	25	.	.	PUNCT
brj-24693	34	1	texture	texture	NOUN
brj-24693	34	2	features	feature	NOUN
brj-24693	34	3	,	,	PUNCT
brj-24693	34	4	an	an	DET
brj-24693	34	5	important	important	ADJ
brj-24693	34	6	aspect	aspect	NOUN
brj-24693	34	7	of	of	ADP
brj-24693	34	8	image	image	NOUN
brj-24693	34	9	spatial	spatial	ADJ
brj-24693	34	10	information	information	NOUN
brj-24693	34	11	,	,	PUNCT
brj-24693	34	12	reflect	reflect	VERB
brj-24693	34	13	characteristics	characteristic	NOUN
brj-24693	34	14	of	of	ADP
brj-24693	34	15	the	the	DET
brj-24693	34	16	sample	sample	NOUN
brj-24693	34	17	surface	surface	NOUN
brj-24693	34	18	,	,	PUNCT
brj-24693	34	19	such	such	ADJ
brj-24693	34	20	as	as	ADP
brj-24693	34	21	fine	fine	ADJ
brj-24693	34	22	structure	structure	NOUN
brj-24693	34	23	,	,	PUNCT
brj-24693	34	24	homogeneity	homogeneity	NOUN
brj-24693	34	25	,	,	PUNCT
brj-24693	34	26	orientation	orientation	NOUN
brj-24693	34	27	,	,	PUNCT
brj-24693	34	28	and	and	CCONJ
brj-24693	34	29	roughness	roughness	NOUN
brj-24693	34	30	(	(	PUNCT
brj-24693	34	31	yang	yang	PROPN
brj-24693	34	32	2024	2024	NUM
brj-24693	34	33	)	)	PUNCT
brj-24693	34	34	.	.	PUNCT
brj-24693	35	1	these	these	DET
brj-24693	35	2	features	feature	VERB
brj-24693	35	3	effectively	effectively	ADV
brj-24693	35	4	complement	complement	VERB
brj-24693	35	5	spectral	spectral	ADJ
brj-24693	35	6	information	information	NOUN
brj-24693	35	7	.	.	PUNCT
brj-24693	36	1	recently	recently	ADV
brj-24693	36	2	,	,	PUNCT
brj-24693	36	3	several	several	ADJ
brj-24693	36	4	researchers	researcher	NOUN
brj-24693	36	5	have	have	AUX
brj-24693	36	6	highlighted	highlight	VERB
brj-24693	36	7	the	the	DET
brj-24693	36	8	importance	importance	NOUN
brj-24693	36	9	of	of	ADP
brj-24693	36	10	simultaneously	simultaneously	ADV
brj-24693	36	11	analyzing	analyze	VERB
brj-24693	36	12	both	both	CCONJ
brj-24693	36	13	hsi	hsi	PROPN
brj-24693	36	14	spectral	spectral	ADJ
brj-24693	36	15	and	and	CCONJ
brj-24693	36	16	spatial	spatial	ADJ
brj-24693	36	17	information	information	NOUN
brj-24693	36	18	.	.	PUNCT
brj-24693	37	1	examples	example	NOUN
brj-24693	37	2	include	include	VERB
brj-24693	37	3	the	the	DET
brj-24693	37	4	prediction	prediction	NOUN
brj-24693	37	5	of	of	ADP
brj-24693	37	6	palmitic	palmitic	ADJ
brj-24693	37	7	and	and	CCONJ
brj-24693	37	8	oleic	oleic	VERB
brj-24693	37	9	acid	acid	PROPN
brj-24693	37	10	content	content	NOUN
brj-24693	37	11	in	in	ADP
brj-24693	37	12	lamb	lamb	PROPN
brj-24693	37	13	(	(	PUNCT
brj-24693	37	14	wang	wang	PROPN
brj-24693	37	15	et	et	PROPN
brj-24693	37	16	al	al	PROPN
brj-24693	37	17	.	.	PROPN
brj-24693	37	18	2020	2020	NUM
brj-24693	37	19	)	)	PUNCT
brj-24693	37	20	,	,	PUNCT
brj-24693	37	21	the	the	DET
brj-24693	37	22	prediction	prediction	NOUN
brj-24693	37	23	of	of	ADP
brj-24693	37	24	the	the	DET
brj-24693	37	25	k	k	NOUN
brj-24693	37	26	-	-	NOUN
brj-24693	37	27	value	value	NOUN
brj-24693	37	28	of	of	ADP
brj-24693	37	29	pork	pork	NOUN
brj-24693	37	30	(	(	PUNCT
brj-24693	37	31	cheng	cheng	PROPN
brj-24693	37	32	et	et	PROPN
brj-24693	37	33	al	al	PROPN
brj-24693	37	34	.	.	PROPN
brj-24693	37	35	2016	2016	NUM
brj-24693	37	36	)	)	PUNCT
brj-24693	37	37	,	,	PUNCT
brj-24693	37	38	the	the	DET
brj-24693	37	39	prediction	prediction	NOUN
brj-24693	37	40	of	of	ADP
brj-24693	37	41	ph	ph	NOUN
brj-24693	37	42	-	-	PUNCT
brj-24693	37	43	value	value	NOUN
brj-24693	37	44	in	in	ADP
brj-24693	37	45	salted	salt	VERB
brj-24693	37	46	meat	meat	NOUN
brj-24693	37	47	(	(	PUNCT
brj-24693	37	48	liu	liu	PROPN
brj-24693	37	49	et	et	PROPN
brj-24693	37	50	al	al	PROPN
brj-24693	37	51	.	.	PROPN
brj-24693	37	52	2014	2014	NUM
brj-24693	37	53	)	)	PUNCT
brj-24693	37	54	,	,	PUNCT
brj-24693	37	55	and	and	CCONJ
brj-24693	37	56	the	the	DET
brj-24693	37	57	prediction	prediction	NOUN
brj-24693	37	58	of	of	ADP
brj-24693	37	59	volatile	volatile	ADJ
brj-24693	37	60	saline	saline	ADJ
brj-24693	37	61	nitrogen	nitrogen	NOUN
brj-24693	37	62	content	content	NOUN
brj-24693	37	63	in	in	ADP
brj-24693	37	64	cooked	cooked	ADJ
brj-24693	37	65	beef	beef	NOUN
brj-24693	37	66	using	use	VERB
brj-24693	37	67	texture	texture	NOUN
brj-24693	37	68	features	feature	NOUN
brj-24693	37	69	and	and	CCONJ
brj-24693	37	70	color	color	NOUN
brj-24693	37	71	models	model	NOUN
brj-24693	37	72	(	(	PUNCT
brj-24693	37	73	yang	yang	PROPN
brj-24693	37	74	et	et	PROPN
brj-24693	37	75	al	al	PROPN
brj-24693	37	76	.	.	PROPN
brj-24693	37	77	2017	2017	NUM
brj-24693	37	78	)	)	PUNCT
brj-24693	37	79	.	.	PUNCT
brj-24693	38	1	these	these	DET
brj-24693	38	2	studies	study	NOUN
brj-24693	38	3	suggest	suggest	VERB
brj-24693	38	4	that	that	SCONJ
brj-24693	38	5	combining	combine	VERB
brj-24693	38	6	spectral	spectral	ADJ
brj-24693	38	7	and	and	CCONJ
brj-24693	38	8	spatial	spatial	ADJ
brj-24693	38	9	information	information	NOUN
brj-24693	38	10	from	from	ADP
brj-24693	38	11	hsi	hsi	PROPN
brj-24693	38	12	provides	provide	VERB
brj-24693	38	13	a	a	DET
brj-24693	38	14	more	more	ADV
brj-24693	38	15	comprehensive	comprehensive	ADJ
brj-24693	38	16	and	and	CCONJ
brj-24693	38	17	intuitive	intuitive	ADJ
brj-24693	38	18	analysis	analysis	NOUN
brj-24693	38	19	compared	compare	VERB
brj-24693	38	20	to	to	ADP
brj-24693	38	21	traditional	traditional	ADJ
brj-24693	38	22	methods	method	NOUN
brj-24693	38	23	.	.	PUNCT
brj-24693	39	1	the	the	DET
brj-24693	39	2	fusion	fusion	NOUN
brj-24693	39	3	of	of	ADP
brj-24693	39	4	spectral	spectral	ADJ
brj-24693	39	5	and	and	CCONJ
brj-24693	39	6	texture	texture	NOUN
brj-24693	39	7	features	feature	NOUN
brj-24693	39	8	through	through	ADP
brj-24693	39	9	multidimensional	multidimensional	ADJ
brj-24693	39	10	analysis	analysis	NOUN
brj-24693	39	11	is	be	AUX
brj-24693	39	12	expected	expect	VERB
brj-24693	39	13	to	to	PART
brj-24693	39	14	significantly	significantly	ADV
brj-24693	39	15	enhance	enhance	VERB
brj-24693	39	16	the	the	DET
brj-24693	39	17	accuracy	accuracy	NOUN
brj-24693	39	18	and	and	CCONJ
brj-24693	39	19	robustness	robustness	NOUN
brj-24693	39	20	of	of	ADP
brj-24693	39	21	detecting	detect	VERB
brj-24693	39	22	crude	crude	ADJ
brj-24693	39	23	protein	protein	NOUN
brj-24693	39	24	and	and	CCONJ
brj-24693	39	25	starch	starch	NOUN
brj-24693	39	26	content	content	NOUN
brj-24693	39	27	in	in	ADP
brj-24693	39	28	pellet	pellet	NOUN
brj-24693	39	29	feed	feed	NOUN
brj-24693	39	30	,	,	PUNCT
brj-24693	39	31	providing	provide	VERB
brj-24693	39	32	new	new	ADJ
brj-24693	39	33	technical	technical	ADJ
brj-24693	39	34	support	support	NOUN
brj-24693	39	35	for	for	ADP
brj-24693	39	36	the	the	DET
brj-24693	39	37	rapid	rapid	ADJ
brj-24693	39	38	nondestructive	nondestructive	ADJ
brj-24693	39	39	testing	testing	NOUN
brj-24693	39	40	of	of	ADP
brj-24693	39	41	feed	feed	NOUN
brj-24693	39	42	quality	quality	NOUN
brj-24693	39	43	.	.	PUNCT
brj-24693	40	1	the	the	DET
brj-24693	40	2	900	900	NUM
brj-24693	40	3	to	to	PART
brj-24693	40	4	1700	1700	NUM
brj-24693	40	5	nm	nm	PRON
brj-24693	40	6	wavelength	wavelength	NOUN
brj-24693	40	7	range	range	NOUN
brj-24693	40	8	was	be	AUX
brj-24693	40	9	chosen	choose	VERB
brj-24693	40	10	for	for	ADP
brj-24693	40	11	this	this	DET
brj-24693	40	12	study	study	NOUN
brj-24693	40	13	because	because	SCONJ
brj-24693	40	14	it	it	PRON
brj-24693	40	15	effectively	effectively	ADV
brj-24693	40	16	captures	capture	VERB
brj-24693	40	17	absorption	absorption	NOUN
brj-24693	40	18	features	feature	NOUN
brj-24693	40	19	of	of	ADP
brj-24693	40	20	key	key	ADJ
brj-24693	40	21	chemical	chemical	NOUN
brj-24693	40	22	groups	group	NOUN
brj-24693	40	23	in	in	ADP
brj-24693	40	24	feed	feed	NOUN
brj-24693	40	25	components	component	NOUN
brj-24693	40	26	.	.	PUNCT
brj-24693	41	1	it	it	PRON
brj-24693	41	2	detects	detect	VERB
brj-24693	41	3	n	n	CCONJ
brj-24693	41	4	-	-	PUNCT
brj-24693	41	5	h	h	NOUN
brj-24693	41	6	bending	bending	NOUN
brj-24693	41	7	and	and	CCONJ
brj-24693	41	8	c	c	NOUN
brj-24693	41	9	=	=	NOUN
brj-24693	41	10	o	o	NOUN
brj-24693	41	11	stretching	stretch	VERB
brj-24693	41	12	vibrations	vibration	NOUN
brj-24693	41	13	in	in	ADP
brj-24693	41	14	proteins	protein	NOUN
brj-24693	41	15	,	,	PUNCT
brj-24693	41	16	which	which	PRON
brj-24693	41	17	are	be	AUX
brj-24693	41	18	essential	essential	ADJ
brj-24693	41	19	for	for	ADP
brj-24693	41	20	predicting	predict	VERB
brj-24693	41	21	protein	protein	NOUN
brj-24693	41	22	content	content	NOUN
brj-24693	41	23	(	(	PUNCT
brj-24693	41	24	du	du	PROPN
brj-24693	41	25	et	et	PROPN
brj-24693	41	26	al	al	PROPN
brj-24693	41	27	.	.	PROPN
brj-24693	41	28	2024	2024	NUM
brj-24693	41	29	)	)	PUNCT
brj-24693	41	30	.	.	PUNCT
brj-24693	42	1	additionally	additionally	ADV
brj-24693	42	2	,	,	PUNCT
brj-24693	42	3	starch	starch	NOUN
brj-24693	42	4	and	and	CCONJ
brj-24693	42	5	other	other	ADJ
brj-24693	42	6	sugars	sugar	NOUN
brj-24693	42	7	show	show	VERB
brj-24693	42	8	distinct	distinct	ADJ
brj-24693	42	9	absorption	absorption	NOUN
brj-24693	42	10	characteristics	characteristic	NOUN
brj-24693	42	11	in	in	ADP
brj-24693	42	12	this	this	DET
brj-24693	42	13	range	range	NOUN
brj-24693	42	14	,	,	PUNCT
brj-24693	42	15	aiding	aid	VERB
brj-24693	42	16	in	in	ADP
brj-24693	42	17	starch	starch	NOUN
brj-24693	42	18	estimation	estimation	NOUN
brj-24693	42	19	.	.	PUNCT
brj-24693	43	1	previous	previous	ADJ
brj-24693	43	2	studies	study	NOUN
brj-24693	43	3	have	have	AUX
brj-24693	43	4	shown	show	VERB
brj-24693	43	5	that	that	SCONJ
brj-24693	43	6	nir	nir	ADJ
brj-24693	43	7	spectroscopy	spectroscopy	NOUN
brj-24693	43	8	in	in	ADP
brj-24693	43	9	this	this	DET
brj-24693	43	10	range	range	NOUN
brj-24693	43	11	is	be	AUX
brj-24693	43	12	effective	effective	ADJ
brj-24693	43	13	for	for	ADP
brj-24693	43	14	analyzing	analyze	VERB
brj-24693	43	15	crude	crude	ADJ
brj-24693	43	16	protein	protein	NOUN
brj-24693	43	17	and	and	CCONJ
brj-24693	43	18	starch	starch	NOUN
brj-24693	43	19	in	in	ADP
brj-24693	43	20	feed	feed	NOUN
brj-24693	43	21	.	.	PUNCT
brj-24693	44	1	for	for	ADP
brj-24693	44	2	example	example	NOUN
brj-24693	44	3	,	,	PUNCT
brj-24693	44	4	tang	tang	X
brj-24693	44	5	et	et	PROPN
brj-24693	44	6	al	al	PROPN
brj-24693	44	7	.	.	PROPN
brj-24693	45	1	(	(	PUNCT
brj-24693	45	2	2004	2004	NUM
brj-24693	45	3	)	)	PUNCT
brj-24693	45	4	used	use	VERB
brj-24693	45	5	hyperspectral	hyperspectral	ADJ
brj-24693	45	6	methods	method	NOUN
brj-24693	45	7	to	to	PART
brj-24693	45	8	estimate	estimate	VERB
brj-24693	45	9	the	the	DET
brj-24693	45	10	crude	crude	ADJ
brj-24693	45	11	protein	protein	NOUN
brj-24693	45	12	and	and	CCONJ
brj-24693	45	13	crude	crude	ADJ
brj-24693	45	14	starch	starch	NOUN
brj-24693	45	15	content	content	NOUN
brj-24693	45	16	in	in	ADP
brj-24693	45	17	rice	rice	NOUN
brj-24693	45	18	ears	ear	NOUN
brj-24693	45	19	and	and	CCONJ
brj-24693	45	20	grains	grain	NOUN
brj-24693	45	21	.	.	PUNCT
brj-24693	46	1	rukundo	rukundo	PROPN
brj-24693	46	2	et	et	PROPN
brj-24693	46	3	al	al	PROPN
brj-24693	46	4	.	.	PROPN
brj-24693	47	1	(	(	PUNCT
brj-24693	47	2	2021	2021	NUM
brj-24693	47	3	)	)	PUNCT
brj-24693	47	4	demonstrated	demonstrate	VERB
brj-24693	47	5	that	that	SCONJ
brj-24693	47	6	handheld	handheld	VERB
brj-24693	47	7	nir	nir	ADJ
brj-24693	47	8	spectrometers	spectrometer	NOUN
brj-24693	47	9	(	(	PUNCT
brj-24693	47	10	900	900	NUM
brj-24693	47	11	to	to	PART
brj-24693	47	12	1700	1700	NUM
brj-24693	47	13	nm	nm	NOUN
brj-24693	47	14	)	)	PUNCT
brj-24693	47	15	can	can	AUX
brj-24693	47	16	accurately	accurately	ADV
brj-24693	47	17	predict	predict	VERB
brj-24693	47	18	protein	protein	NOUN
brj-24693	47	19	content	content	NOUN
brj-24693	47	20	in	in	ADP
brj-24693	47	21	animal	animal	NOUN
brj-24693	47	22	feed	feed	NOUN
brj-24693	47	23	,	,	PUNCT
brj-24693	47	24	making	make	VERB
brj-24693	47	25	them	they	PRON
brj-24693	47	26	suitable	suitable	ADJ
brj-24693	47	27	for	for	ADP
brj-24693	47	28	field	field	NOUN
brj-24693	47	29	use	use	NOUN
brj-24693	47	30	.	.	PUNCT
brj-24693	48	1	the	the	DET
brj-24693	48	2	main	main	ADJ
brj-24693	48	3	objective	objective	NOUN
brj-24693	48	4	of	of	ADP
brj-24693	48	5	this	this	DET
brj-24693	48	6	study	study	NOUN
brj-24693	48	7	was	be	AUX
brj-24693	48	8	to	to	PART
brj-24693	48	9	utilize	utilize	VERB
brj-24693	48	10	the	the	DET
brj-24693	48	11	combination	combination	NOUN
brj-24693	48	12	of	of	ADP
brj-24693	48	13	spectral	spectral	ADJ
brj-24693	48	14	and	and	CCONJ
brj-24693	48	15	image	image	NOUN
brj-24693	48	16	texture	texture	NOUN
brj-24693	48	17	information	information	NOUN
brj-24693	48	18	to	to	PART
brj-24693	48	19	predict	predict	VERB
brj-24693	48	20	the	the	DET
brj-24693	48	21	crude	crude	ADJ
brj-24693	48	22	protein	protein	NOUN
brj-24693	48	23	and	and	CCONJ
brj-24693	48	24	starch	starch	NOUN
brj-24693	48	25	contents	content	NOUN
brj-24693	48	26	in	in	ADP
brj-24693	48	27	alfalfa	alfalfa	NOUN
brj-24693	48	28	-	-	PUNCT
brj-24693	48	29	potato	potato	NOUN
brj-24693	48	30	pomace	pomace	NOUN
brj-24693	48	31	pellet	pellet	NOUN
brj-24693	48	32	feed	feed	NOUN
brj-24693	48	33	.	.	PUNCT
brj-24693	49	1	hyperspectral	hyperspectral	ADJ
brj-24693	49	2	data	datum	NOUN
brj-24693	49	3	of	of	ADP
brj-24693	49	4	the	the	DET
brj-24693	49	5	pellet	pellet	NOUN
brj-24693	49	6	feed	feed	NOUN
brj-24693	49	7	,	,	PUNCT
brj-24693	49	8	ranging	range	VERB
brj-24693	49	9	from	from	ADP
brj-24693	49	10	900	900	NUM
brj-24693	49	11	to	to	PART
brj-24693	49	12	1700	1700	NUM
brj-24693	49	13	nm	nm	NOUN
brj-24693	49	14	,	,	PUNCT
brj-24693	49	15	were	be	AUX
brj-24693	49	16	collected	collect	VERB
brj-24693	49	17	.	.	PUNCT
brj-24693	50	1	the	the	DET
brj-24693	50	2	optimal	optimal	ADJ
brj-24693	50	3	preprocessing	preprocessing	NOUN
brj-24693	50	4	method	method	NOUN
brj-24693	50	5	and	and	CCONJ
brj-24693	50	6	characteristic	characteristic	ADJ
brj-24693	50	7	wavelength	wavelength	NOUN
brj-24693	50	8	selection	selection	NOUN
brj-24693	50	9	were	be	AUX
brj-24693	50	10	determined	determine	VERB
brj-24693	50	11	by	by	ADP
brj-24693	50	12	applying	apply	VERB
brj-24693	50	13	four	four	NUM
brj-24693	50	14	preprocessing	preprocessing	NOUN
brj-24693	50	15	methods	method	NOUN
brj-24693	50	16	and	and	CCONJ
brj-24693	50	17	two	two	NUM
brj-24693	50	18	variable	variable	ADJ
brj-24693	50	19	selection	selection	NOUN
brj-24693	50	20	tools	tool	NOUN
brj-24693	50	21	.	.	PUNCT
brj-24693	51	1	texture	texture	ADJ
brj-24693	51	2	information	information	NOUN
brj-24693	51	3	of	of	ADP
brj-24693	51	4	the	the	DET
brj-24693	51	5	pellet	pellet	NOUN
brj-24693	51	6	feed	feed	NOUN
brj-24693	51	7	was	be	AUX
brj-24693	51	8	extracted	extract	VERB
brj-24693	51	9	using	use	VERB
brj-24693	51	10	the	the	DET
brj-24693	51	11	gray	gray	ADJ
brj-24693	51	12	-	-	PUNCT
brj-24693	51	13	level	level	NOUN
brj-24693	51	14	co	co	NOUN
brj-24693	51	15	-	-	NOUN
brj-24693	51	16	occurrence	occurrence	ADJ
brj-24693	51	17	peer	peer	NOUN
brj-24693	51	18	-	-	PUNCT
brj-24693	51	19	reviewed	review	VERB
brj-24693	51	20	article	article	NOUN
brj-24693	51	21	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	51	22	guo	guo	PROPN
brj-24693	51	23	et	et	PROPN
brj-24693	51	24	al	al	PROPN
brj-24693	51	25	.	.	PROPN
brj-24693	52	1	(	(	PUNCT
brj-24693	52	2	2025	2025	NUM
brj-24693	52	3	)	)	PUNCT
brj-24693	52	4	.	.	PUNCT
brj-24693	53	1	“	"	PUNCT
brj-24693	53	2	imaging	imaging	NOUN
brj-24693	53	3	of	of	ADP
brj-24693	53	4	pomace	pomace	NOUN
brj-24693	53	5	for	for	ADP
brj-24693	53	6	nutrition	nutrition	NOUN
brj-24693	53	7	,	,	PUNCT
brj-24693	53	8	”	"	PUNCT
brj-24693	53	9	bioresources	bioresource	VERB
brj-24693	53	10	20(4	20(4	NOUN
brj-24693	53	11	)	)	PUNCT
brj-24693	53	12	,	,	PUNCT
brj-24693	53	13	10249	10249	NUM
brj-24693	53	14	-	-	SYM
brj-24693	53	15	10262	10262	NUM
brj-24693	53	16	.	.	PUNCT
brj-24693	54	1	10251	10251	NUM
brj-24693	54	2	matrix	matrix	NOUN
brj-24693	54	3	.	.	PUNCT
brj-24693	55	1	an	an	DET
brj-24693	55	2	svr	svr	PROPN
brj-24693	55	3	prediction	prediction	NOUN
brj-24693	55	4	model	model	NOUN
brj-24693	55	5	was	be	AUX
brj-24693	55	6	then	then	ADV
brj-24693	55	7	established	establish	VERB
brj-24693	55	8	,	,	PUNCT
brj-24693	55	9	based	base	VERB
brj-24693	55	10	on	on	ADP
brj-24693	55	11	both	both	CCONJ
brj-24693	55	12	the	the	DET
brj-24693	55	13	spectral	spectral	ADJ
brj-24693	55	14	data	datum	NOUN
brj-24693	55	15	and	and	CCONJ
brj-24693	55	16	the	the	DET
brj-24693	55	17	fusion	fusion	NOUN
brj-24693	55	18	of	of	ADP
brj-24693	55	19	spectral	spectral	ADJ
brj-24693	55	20	and	and	CCONJ
brj-24693	55	21	texture	texture	ADJ
brj-24693	55	22	information	information	NOUN
brj-24693	55	23	,	,	PUNCT
brj-24693	55	24	to	to	PART
brj-24693	55	25	predict	predict	VERB
brj-24693	55	26	the	the	DET
brj-24693	55	27	crude	crude	ADJ
brj-24693	55	28	protein	protein	NOUN
brj-24693	55	29	and	and	CCONJ
brj-24693	55	30	starch	starch	NOUN
brj-24693	55	31	content	content	NOUN
brj-24693	55	32	in	in	ADP
brj-24693	55	33	the	the	DET
brj-24693	55	34	pellet	pellet	NOUN
brj-24693	55	35	feed	feed	NOUN
brj-24693	55	36	.	.	PUNCT
brj-24693	56	1	it	it	PRON
brj-24693	56	2	was	be	AUX
brj-24693	56	3	hypothesized	hypothesize	VERB
brj-24693	56	4	that	that	SCONJ
brj-24693	56	5	the	the	DET
brj-24693	56	6	textural	textural	ADJ
brj-24693	56	7	features	feature	NOUN
brj-24693	56	8	of	of	ADP
brj-24693	56	9	pellet	pellet	NOUN
brj-24693	56	10	feed	feed	NOUN
brj-24693	56	11	are	be	AUX
brj-24693	56	12	crucial	crucial	ADJ
brj-24693	56	13	because	because	SCONJ
brj-24693	56	14	key	key	ADJ
brj-24693	56	15	nutrients	nutrient	NOUN
brj-24693	56	16	,	,	PUNCT
brj-24693	56	17	such	such	ADJ
brj-24693	56	18	as	as	ADP
brj-24693	56	19	crude	crude	ADJ
brj-24693	56	20	protein	protein	NOUN
brj-24693	56	21	and	and	CCONJ
brj-24693	56	22	starch	starch	NOUN
brj-24693	56	23	,	,	PUNCT
brj-24693	56	24	may	may	AUX
brj-24693	56	25	be	be	AUX
brj-24693	56	26	unevenly	unevenly	ADV
brj-24693	56	27	distributed	distribute	VERB
brj-24693	56	28	within	within	ADP
brj-24693	56	29	the	the	DET
brj-24693	56	30	pellet	pellet	NOUN
brj-24693	56	31	.	.	PUNCT
brj-24693	57	1	nutrients	nutrient	NOUN
brj-24693	57	2	could	could	AUX
brj-24693	57	3	concentrate	concentrate	VERB
brj-24693	57	4	in	in	ADP
brj-24693	57	5	specific	specific	ADJ
brj-24693	57	6	areas	area	NOUN
brj-24693	57	7	,	,	PUNCT
brj-24693	57	8	influenced	influence	VERB
brj-24693	57	9	by	by	ADP
brj-24693	57	10	the	the	DET
brj-24693	57	11	pellet	pellet	NOUN
brj-24693	57	12	’s	’s	PART
brj-24693	57	13	shape	shape	NOUN
brj-24693	57	14	and	and	CCONJ
brj-24693	57	15	surface	surface	NOUN
brj-24693	57	16	structure	structure	NOUN
brj-24693	57	17	.	.	PUNCT
brj-24693	58	1	for	for	ADP
brj-24693	58	2	example	example	NOUN
brj-24693	58	3	,	,	PUNCT
brj-24693	58	4	surface	surface	NOUN
brj-24693	58	5	roughness	roughness	NOUN
brj-24693	58	6	or	or	CCONJ
brj-24693	58	7	homogeneity	homogeneity	NOUN
brj-24693	58	8	may	may	AUX
brj-24693	58	9	correlate	correlate	VERB
brj-24693	58	10	with	with	ADP
brj-24693	58	11	nutrient	nutrient	ADJ
brj-24693	58	12	density	density	NOUN
brj-24693	58	13	in	in	ADP
brj-24693	58	14	particular	particular	ADJ
brj-24693	58	15	regions	region	NOUN
brj-24693	58	16	.	.	PUNCT
brj-24693	59	1	by	by	ADP
brj-24693	59	2	combining	combine	VERB
brj-24693	59	3	textural	textural	ADJ
brj-24693	59	4	and	and	CCONJ
brj-24693	59	5	spectral	spectral	ADJ
brj-24693	59	6	data	datum	NOUN
brj-24693	59	7	,	,	PUNCT
brj-24693	59	8	we	we	PRON
brj-24693	59	9	can	can	AUX
brj-24693	59	10	enhance	enhance	VERB
brj-24693	59	11	the	the	DET
brj-24693	59	12	understanding	understanding	NOUN
brj-24693	59	13	and	and	CCONJ
brj-24693	59	14	accuracy	accuracy	NOUN
brj-24693	59	15	of	of	ADP
brj-24693	59	16	crude	crude	ADJ
brj-24693	59	17	protein	protein	NOUN
brj-24693	59	18	and	and	CCONJ
brj-24693	59	19	starch	starch	NOUN
brj-24693	59	20	content	content	NOUN
brj-24693	59	21	predictions	prediction	NOUN
brj-24693	59	22	,	,	PUNCT
brj-24693	59	23	thereby	thereby	ADV
brj-24693	59	24	improving	improve	VERB
brj-24693	59	25	the	the	DET
brj-24693	59	26	robustness	robustness	NOUN
brj-24693	59	27	of	of	ADP
brj-24693	59	28	feed	feed	NOUN
brj-24693	59	29	quality	quality	NOUN
brj-24693	59	30	models	model	NOUN
brj-24693	59	31	.	.	PUNCT
brj-24693	60	1	experimental	experimental	ADJ
brj-24693	60	2	sample	sample	NOUN
brj-24693	60	3	preparation	preparation	NOUN
brj-24693	60	4	the	the	DET
brj-24693	60	5	test	test	NOUN
brj-24693	60	6	samples	sample	NOUN
brj-24693	60	7	used	use	VERB
brj-24693	60	8	in	in	ADP
brj-24693	60	9	this	this	DET
brj-24693	60	10	study	study	NOUN
brj-24693	60	11	were	be	AUX
brj-24693	60	12	pellet	pellet	NOUN
brj-24693	60	13	feeds	feed	NOUN
brj-24693	60	14	compressed	compress	VERB
brj-24693	60	15	and	and	CCONJ
brj-24693	60	16	molded	mold	VERB
brj-24693	60	17	from	from	ADP
brj-24693	60	18	alfalfa	alfalfa	NOUN
brj-24693	60	19	meal	meal	NOUN
brj-24693	60	20	mixed	mix	VERB
brj-24693	60	21	with	with	ADP
brj-24693	60	22	potato	potato	NOUN
brj-24693	60	23	pomace	pomace	NOUN
brj-24693	60	24	,	,	PUNCT
brj-24693	60	25	produced	produce	VERB
brj-24693	60	26	in	in	ADP
brj-24693	60	27	hohhot	hohhot	ADJ
brj-24693	60	28	,	,	PUNCT
brj-24693	60	29	inner	inner	ADJ
brj-24693	60	30	mongolia	mongolia	PROPN
brj-24693	60	31	.	.	PUNCT
brj-24693	61	1	the	the	DET
brj-24693	61	2	initial	initial	ADJ
brj-24693	61	3	moisture	moisture	NOUN
brj-24693	61	4	contents	content	NOUN
brj-24693	61	5	of	of	ADP
brj-24693	61	6	the	the	DET
brj-24693	61	7	alfalfa	alfalfa	NOUN
brj-24693	61	8	meal	meal	NOUN
brj-24693	61	9	and	and	CCONJ
brj-24693	61	10	potato	potato	NOUN
brj-24693	61	11	pomace	pomace	NOUN
brj-24693	61	12	were	be	AUX
brj-24693	61	13	15	15	NUM
brj-24693	61	14	%	%	NOUN
brj-24693	61	15	and	and	CCONJ
brj-24693	61	16	60	60	NUM
brj-24693	61	17	%	%	NOUN
brj-24693	61	18	,	,	PUNCT
brj-24693	61	19	respectively	respectively	ADV
brj-24693	61	20	.	.	PUNCT
brj-24693	62	1	after	after	ADP
brj-24693	62	2	pressing	press	VERB
brj-24693	62	3	and	and	CCONJ
brj-24693	62	4	molding	molding	NOUN
brj-24693	62	5	,	,	PUNCT
brj-24693	62	6	the	the	DET
brj-24693	62	7	resulting	result	VERB
brj-24693	62	8	alfalfa	alfalfa	NOUN
brj-24693	62	9	-	-	PUNCT
brj-24693	62	10	potato	potato	NOUN
brj-24693	62	11	pomace	pomace	NOUN
brj-24693	62	12	pellet	pellet	NOUN
brj-24693	62	13	feeds	feed	NOUN
brj-24693	62	14	were	be	AUX
brj-24693	62	15	randomly	randomly	ADV
brj-24693	62	16	selected	select	VERB
brj-24693	62	17	and	and	CCONJ
brj-24693	62	18	weighed	weigh	VERB
brj-24693	62	19	,	,	PUNCT
brj-24693	62	20	with	with	ADP
brj-24693	62	21	individual	individual	ADJ
brj-24693	62	22	samples	sample	NOUN
brj-24693	62	23	weighing	weigh	VERB
brj-24693	62	24	approximately	approximately	ADV
brj-24693	62	25	70	70	NUM
brj-24693	62	26	g	g	NOUN
brj-24693	62	27	and	and	CCONJ
brj-24693	62	28	having	have	VERB
brj-24693	62	29	a	a	DET
brj-24693	62	30	pellet	pellet	NOUN
brj-24693	62	31	diameter	diameter	NOUN
brj-24693	62	32	of	of	ADP
brj-24693	62	33	8	8	NUM
brj-24693	62	34	mm	mm	NOUN
brj-24693	62	35	.	.	PUNCT
brj-24693	63	1	a	a	DET
brj-24693	63	2	total	total	NOUN
brj-24693	63	3	of	of	ADP
brj-24693	63	4	201	201	NUM
brj-24693	63	5	samples	sample	NOUN
brj-24693	63	6	were	be	AUX
brj-24693	63	7	numbered	number	VERB
brj-24693	63	8	,	,	PUNCT
brj-24693	63	9	placed	place	VERB
brj-24693	63	10	in	in	ADP
brj-24693	63	11	self	self	NOUN
brj-24693	63	12	-	-	PUNCT
brj-24693	63	13	sealing	seal	VERB
brj-24693	63	14	bags	bag	NOUN
brj-24693	63	15	(	(	PUNCT
brj-24693	63	16	14	14	NUM
brj-24693	63	17	cm	cm	NOUN
brj-24693	63	18	×	×	NOUN
brj-24693	63	19	20	20	NUM
brj-24693	63	20	cm	cm	NOUN
brj-24693	63	21	)	)	PUNCT
brj-24693	63	22	,	,	PUNCT
brj-24693	63	23	and	and	CCONJ
brj-24693	63	24	stored	store	VERB
brj-24693	63	25	in	in	ADP
brj-24693	63	26	a	a	DET
brj-24693	63	27	refrigerator	refrigerator	NOUN
brj-24693	63	28	at	at	ADP
brj-24693	63	29	about	about	ADV
brj-24693	63	30	8	8	NUM
brj-24693	63	31	°	°	NOUN
brj-24693	63	32	c	c	NOUN
brj-24693	63	33	.	.	PUNCT
brj-24693	64	1	nutrient	nutrient	NOUN
brj-24693	64	2	content	content	NOUN
brj-24693	64	3	testing	test	VERB
brj-24693	64	4	the	the	DET
brj-24693	64	5	determination	determination	NOUN
brj-24693	64	6	of	of	ADP
brj-24693	64	7	crude	crude	ADJ
brj-24693	64	8	protein	protein	NOUN
brj-24693	64	9	content	content	NOUN
brj-24693	64	10	in	in	ADP
brj-24693	64	11	feed	feed	NOUN
brj-24693	64	12	was	be	AUX
brj-24693	64	13	carried	carry	VERB
brj-24693	64	14	out	out	ADP
brj-24693	64	15	using	use	VERB
brj-24693	64	16	the	the	DET
brj-24693	64	17	kjeldahl	kjeldahl	NOUN
brj-24693	64	18	method	method	NOUN
brj-24693	64	19	,	,	PUNCT
brj-24693	64	20	following	follow	VERB
brj-24693	64	21	the	the	DET
brj-24693	64	22	gb	gb	NOUN
brj-24693	64	23	/	/	SYM
brj-24693	64	24	t	t	NOUN
brj-24693	64	25	6432	6432	NUM
brj-24693	64	26	(	(	PUNCT
brj-24693	64	27	2018	2018	NUM
brj-24693	64	28	)	)	PUNCT
brj-24693	64	29	standard	standard	NOUN
brj-24693	64	30	(	(	PUNCT
brj-24693	64	31	huang	huang	PROPN
brj-24693	64	32	et	et	PROPN
brj-24693	64	33	al	al	PROPN
brj-24693	64	34	.	.	PROPN
brj-24693	64	35	2021	2021	NUM
brj-24693	64	36	)	)	PUNCT
brj-24693	64	37	.	.	PUNCT
brj-24693	65	1	the	the	DET
brj-24693	65	2	crude	crude	ADJ
brj-24693	65	3	protein	protein	NOUN
brj-24693	65	4	content	content	NOUN
brj-24693	65	5	was	be	AUX
brj-24693	65	6	calculated	calculate	VERB
brj-24693	65	7	using	use	VERB
brj-24693	65	8	the	the	DET
brj-24693	65	9	following	follow	VERB
brj-24693	65	10	formula	formula	NOUN
brj-24693	65	11	,	,	PUNCT
brj-24693	65	12	𝑐𝑟𝑢𝑑𝑒	𝑐𝑟𝑢𝑑𝑒	NOUN
brj-24693	65	13	𝑝𝑟𝑜𝑡𝑒𝑖𝑛	𝑝𝑟𝑜𝑡𝑒𝑖𝑛	NOUN
brj-24693	65	14	𝑐𝑜𝑛𝑡𝑒𝑛𝑡(%	𝑐𝑜𝑛𝑡𝑒𝑛𝑡(%	NUM
brj-24693	65	15	)	)	PUNCT
brj-24693	65	16	=	=	SYM
brj-24693	66	1	(	(	PUNCT
brj-24693	66	2	𝑉1−𝑉0)×𝐶×𝑀×𝑝	𝑉1−𝑉0)×𝐶×𝑀×𝑝	ADJ
brj-24693	66	3	𝑚	𝑚	ADP
brj-24693	66	4	×	×	NOUN
brj-24693	66	5	100	100	NUM
brj-24693	66	6	(	(	PUNCT
brj-24693	66	7	1	1	NUM
brj-24693	66	8	)	)	PUNCT
brj-24693	66	9	where	where	SCONJ
brj-24693	66	10	v1	v1	NOUN
brj-24693	66	11	is	be	AUX
brj-24693	66	12	the	the	DET
brj-24693	66	13	volume	volume	NOUN
brj-24693	66	14	of	of	ADP
brj-24693	66	15	standard	standard	ADJ
brj-24693	66	16	acid	acid	NOUN
brj-24693	66	17	solution	solution	NOUN
brj-24693	66	18	consumed	consume	VERB
brj-24693	66	19	in	in	ADP
brj-24693	66	20	the	the	DET
brj-24693	66	21	titration	titration	NOUN
brj-24693	66	22	of	of	ADP
brj-24693	66	23	the	the	DET
brj-24693	66	24	sample(ml	sample(ml	NOUN
brj-24693	66	25	)	)	PUNCT
brj-24693	66	26	,	,	PUNCT
brj-24693	66	27	v0	v0	NOUN
brj-24693	66	28	is	be	AUX
brj-24693	66	29	the	the	DET
brj-24693	66	30	volume	volume	NOUN
brj-24693	66	31	of	of	ADP
brj-24693	66	32	standard	standard	ADJ
brj-24693	66	33	acid	acid	NOUN
brj-24693	66	34	solution	solution	NOUN
brj-24693	66	35	consumed	consume	VERB
brj-24693	66	36	in	in	ADP
brj-24693	66	37	the	the	DET
brj-24693	66	38	titration	titration	NOUN
brj-24693	66	39	of	of	ADP
brj-24693	66	40	the	the	DET
brj-24693	66	41	blank(ml	blank(ml	NOUN
brj-24693	66	42	)	)	PUNCT
brj-24693	66	43	,	,	PUNCT
brj-24693	66	44	c	c	PROPN
brj-24693	66	45	is	be	AUX
brj-24693	66	46	the	the	DET
brj-24693	66	47	concentration	concentration	NOUN
brj-24693	66	48	of	of	ADP
brj-24693	66	49	the	the	DET
brj-24693	66	50	standard	standard	ADJ
brj-24693	66	51	acid	acid	NOUN
brj-24693	66	52	solution(mol	solution(mol	PROPN
brj-24693	66	53	/	/	SYM
brj-24693	66	54	l	l	NOUN
brj-24693	66	55	)	)	PUNCT
brj-24693	66	56	,	,	PUNCT
brj-24693	66	57	m	m	PROPN
brj-24693	66	58	is	be	AUX
brj-24693	66	59	the	the	DET
brj-24693	66	60	molar	molar	ADJ
brj-24693	66	61	mass	mass	NOUN
brj-24693	66	62	of	of	ADP
brj-24693	66	63	nitrogen(g	nitrogen(g	PROPN
brj-24693	66	64	/	/	SYM
brj-24693	66	65	mol	mol	NOUN
brj-24693	66	66	)	)	PUNCT
brj-24693	66	67	,	,	PUNCT
brj-24693	66	68	p	p	PROPN
brj-24693	66	69	is	be	AUX
brj-24693	66	70	the	the	DET
brj-24693	66	71	conversion	conversion	NOUN
brj-24693	66	72	factor	factor	NOUN
brj-24693	66	73	of	of	ADP
brj-24693	66	74	protein	protein	NOUN
brj-24693	66	75	,	,	PUNCT
brj-24693	66	76	and	and	CCONJ
brj-24693	66	77	m	m	PROPN
brj-24693	66	78	is	be	AUX
brj-24693	66	79	the	the	DET
brj-24693	66	80	mass	mass	NOUN
brj-24693	66	81	of	of	ADP
brj-24693	66	82	the	the	DET
brj-24693	66	83	sample(g	sample(g	NOUN
brj-24693	66	84	)	)	PUNCT
brj-24693	66	85	.	.	PUNCT
brj-24693	67	1	the	the	DET
brj-24693	67	2	starch	starch	NOUN
brj-24693	67	3	content	content	NOUN
brj-24693	67	4	was	be	AUX
brj-24693	67	5	determined	determine	VERB
brj-24693	67	6	according	accord	VERB
brj-24693	67	7	to	to	ADP
brj-24693	67	8	the	the	DET
brj-24693	67	9	gb	gb	PROPN
brj-24693	67	10	/	/	SYM
brj-24693	67	11	t	t	NOUN
brj-24693	67	12	15683	15683	NUM
brj-24693	67	13	(	(	PUNCT
brj-24693	67	14	2008	2008	NUM
brj-24693	67	15	)	)	PUNCT
brj-24693	67	16	standard	standard	NOUN
brj-24693	67	17	using	use	VERB
brj-24693	67	18	the	the	DET
brj-24693	67	19	following	follow	VERB
brj-24693	67	20	formula	formula	NOUN
brj-24693	67	21	,	,	PUNCT
brj-24693	67	22	𝑠𝑡𝑎𝑟𝑐ℎ	𝑠𝑡𝑎𝑟𝑐ℎ	NOUN
brj-24693	67	23	𝑐𝑜𝑛𝑡𝑒𝑛𝑡（%	𝑐𝑜𝑛𝑡𝑒𝑛𝑡（%	NOUN
brj-24693	67	24	）	）	PUNCT
brj-24693	68	1	=	=	PUNCT
brj-24693	68	2	𝐶×𝑉×𝑝	𝐶×𝑉×𝑝	NOUN
brj-24693	68	3	𝑚	𝑚	X
brj-24693	68	4	×	×	PROPN
brj-24693	68	5	100	100	NUM
brj-24693	68	6	(	(	PUNCT
brj-24693	68	7	2	2	NUM
brj-24693	68	8	)	)	PUNCT
brj-24693	68	9	where	where	SCONJ
brj-24693	68	10	c	c	NOUN
brj-24693	68	11	is	be	AUX
brj-24693	68	12	the	the	DET
brj-24693	68	13	concentration	concentration	NOUN
brj-24693	68	14	of	of	ADP
brj-24693	68	15	reducing	reduce	VERB
brj-24693	68	16	sugar	sugar	NOUN
brj-24693	68	17	in	in	ADP
brj-24693	68	18	the	the	DET
brj-24693	68	19	sample	sample	NOUN
brj-24693	68	20	solution(g	solution(g	NUM
brj-24693	68	21	/	/	SYM
brj-24693	68	22	l	l	NOUN
brj-24693	68	23	)	)	PUNCT
brj-24693	68	24	,	,	PUNCT
brj-24693	68	25	v	v	NOUN
brj-24693	68	26	is	be	AUX
brj-24693	68	27	the	the	DET
brj-24693	68	28	total	total	ADJ
brj-24693	68	29	volume	volume	NOUN
brj-24693	68	30	of	of	ADP
brj-24693	68	31	the	the	DET
brj-24693	68	32	sample	sample	NOUN
brj-24693	68	33	extract(ml	extract(ml	PROPN
brj-24693	68	34	)	)	PUNCT
brj-24693	68	35	,	,	PUNCT
brj-24693	68	36	p	p	PROPN
brj-24693	68	37	is	be	AUX
brj-24693	68	38	the	the	DET
brj-24693	68	39	conversion	conversion	NOUN
brj-24693	68	40	factor	factor	NOUN
brj-24693	68	41	for	for	ADP
brj-24693	68	42	the	the	DET
brj-24693	68	43	conversion	conversion	NOUN
brj-24693	68	44	of	of	ADP
brj-24693	68	45	starch	starch	NOUN
brj-24693	68	46	to	to	ADP
brj-24693	68	47	glucose	glucose	NOUN
brj-24693	68	48	,	,	PUNCT
brj-24693	68	49	and	and	CCONJ
brj-24693	68	50	m	m	NOUN
brj-24693	68	51	is	be	AUX
brj-24693	68	52	the	the	DET
brj-24693	68	53	sample	sample	NOUN
brj-24693	68	54	mass(g	mass(g	PROPN
brj-24693	68	55	)	)	PUNCT
brj-24693	68	56	.	.	PUNCT
brj-24693	69	1	hyperspectral	hyperspectral	ADJ
brj-24693	69	2	data	datum	NOUN
brj-24693	69	3	acquisition	acquisition	NOUN
brj-24693	69	4	and	and	CCONJ
brj-24693	69	5	information	information	NOUN
brj-24693	69	6	extraction	extraction	NOUN
brj-24693	69	7	hyperspectral	hyperspectral	ADJ
brj-24693	69	8	image	image	NOUN
brj-24693	69	9	acquisition	acquisition	NOUN
brj-24693	69	10	hyperspectral	hyperspectral	ADJ
brj-24693	69	11	data	datum	NOUN
brj-24693	69	12	acquisition	acquisition	NOUN
brj-24693	69	13	of	of	ADP
brj-24693	69	14	pellet	pellet	NOUN
brj-24693	69	15	feed	feed	NOUN
brj-24693	69	16	was	be	AUX
brj-24693	69	17	performed	perform	VERB
brj-24693	69	18	using	use	VERB
brj-24693	69	19	a	a	DET
brj-24693	69	20	specim	specim	NOUN
brj-24693	69	21	fx17	fx17	PROPN
brj-24693	69	22	hyperspectral	hyperspectral	ADJ
brj-24693	69	23	imaging	imaging	NOUN
brj-24693	69	24	system	system	NOUN
brj-24693	69	25	(	(	PUNCT
brj-24693	69	26	specim	specim	PROPN
brj-24693	69	27	,	,	PUNCT
brj-24693	69	28	oulu	oulu	PROPN
brj-24693	69	29	,	,	PUNCT
brj-24693	69	30	finland	finland	PROPN
brj-24693	69	31	)	)	PUNCT
brj-24693	69	32	.	.	PUNCT
brj-24693	70	1	the	the	DET
brj-24693	70	2	system	system	NOUN
brj-24693	70	3	consists	consist	VERB
brj-24693	70	4	of	of	ADP
brj-24693	70	5	a	a	DET
brj-24693	70	6	specim	specim	NOUN
brj-24693	70	7	fx17	fx17	PROPN
brj-24693	70	8	hyperspectral	hyperspectral	ADJ
brj-24693	70	9	camera	camera	NOUN
brj-24693	70	10	,	,	PUNCT
brj-24693	70	11	a	a	DET
brj-24693	70	12	150	150	NUM
brj-24693	70	13	w	w	PROPN
brj-24693	70	14	halogen	halogen	PROPN
brj-24693	70	15	lamp	lamp	PROPN
brj-24693	70	16	,	,	PUNCT
brj-24693	70	17	a	a	DET
brj-24693	70	18	sample	sample	NOUN
brj-24693	70	19	stage	stage	NOUN
brj-24693	70	20	,	,	PUNCT
brj-24693	70	21	and	and	CCONJ
brj-24693	70	22	a	a	DET
brj-24693	70	23	computer	computer	NOUN
brj-24693	70	24	,	,	PUNCT
brj-24693	70	25	as	as	SCONJ
brj-24693	70	26	shown	show	VERB
brj-24693	70	27	in	in	ADP
brj-24693	70	28	fig	fig	NOUN
brj-24693	70	29	.	.	PUNCT
brj-24693	71	1	1	1	X
brj-24693	71	2	.	.	X
brj-24693	71	3	the	the	DET
brj-24693	71	4	camera	camera	NOUN
brj-24693	71	5	captures	capture	VERB
brj-24693	71	6	spectral	spectral	ADJ
brj-24693	71	7	data	datum	NOUN
brj-24693	71	8	from	from	ADP
brj-24693	71	9	900	900	NUM
brj-24693	71	10	to	to	ADP
brj-24693	71	11	1700	1700	NUM
brj-24693	71	12	nm	nm	NOUN
brj-24693	71	13	across	across	ADP
brj-24693	71	14	224	224	NUM
brj-24693	71	15	bands	band	NOUN
brj-24693	71	16	.	.	PUNCT
brj-24693	72	1	the	the	DET
brj-24693	72	2	light	light	ADJ
brj-24693	72	3	sources	source	NOUN
brj-24693	72	4	are	be	AUX
brj-24693	72	5	positioned	position	VERB
brj-24693	72	6	on	on	ADP
brj-24693	72	7	both	both	DET
brj-24693	72	8	sides	side	NOUN
brj-24693	72	9	of	of	ADP
brj-24693	72	10	the	the	DET
brj-24693	72	11	sample	sample	NOUN
brj-24693	72	12	stage	stage	NOUN
brj-24693	72	13	at	at	ADP
brj-24693	72	14	a	a	DET
brj-24693	72	15	height	height	NOUN
brj-24693	72	16	of	of	ADP
brj-24693	72	17	50	50	NUM
brj-24693	72	18	cm	cm	NOUN
brj-24693	72	19	.	.	PUNCT
brj-24693	73	1	peer	peer	NOUN
brj-24693	73	2	-	-	PUNCT
brj-24693	73	3	reviewed	review	VERB
brj-24693	73	4	article	article	NOUN
brj-24693	73	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	73	6	guo	guo	PROPN
brj-24693	73	7	et	et	PROPN
brj-24693	73	8	al	al	PROPN
brj-24693	73	9	.	.	PROPN
brj-24693	74	1	(	(	PUNCT
brj-24693	74	2	2025	2025	NUM
brj-24693	74	3	)	)	PUNCT
brj-24693	74	4	.	.	PUNCT
brj-24693	75	1	“	"	PUNCT
brj-24693	75	2	imaging	imaging	NOUN
brj-24693	75	3	of	of	ADP
brj-24693	75	4	pomace	pomace	NOUN
brj-24693	75	5	for	for	ADP
brj-24693	75	6	nutrition	nutrition	NOUN
brj-24693	75	7	,	,	PUNCT
brj-24693	75	8	”	"	PUNCT
brj-24693	75	9	bioresources	bioresource	VERB
brj-24693	75	10	20(4	20(4	NOUN
brj-24693	75	11	)	)	PUNCT
brj-24693	75	12	,	,	PUNCT
brj-24693	75	13	10249	10249	NUM
brj-24693	75	14	-	-	SYM
brj-24693	75	15	10262	10262	NUM
brj-24693	75	16	.	.	PUNCT
brj-24693	76	1	10252	10252	NUM
brj-24693	76	2	before	before	ADP
brj-24693	76	3	taking	take	VERB
brj-24693	76	4	measurements	measurement	NOUN
brj-24693	76	5	,	,	PUNCT
brj-24693	76	6	the	the	DET
brj-24693	76	7	instrument	instrument	NOUN
brj-24693	76	8	underwent	undergo	VERB
brj-24693	76	9	a	a	DET
brj-24693	76	10	20	20	NUM
brj-24693	76	11	-	-	PUNCT
brj-24693	76	12	minute	minute	NOUN
brj-24693	76	13	warm	warm	ADJ
brj-24693	76	14	-	-	PUNCT
brj-24693	76	15	up	up	NOUN
brj-24693	76	16	period	period	NOUN
brj-24693	76	17	to	to	PART
brj-24693	76	18	ensure	ensure	VERB
brj-24693	76	19	the	the	DET
brj-24693	76	20	light	light	ADJ
brj-24693	76	21	source	source	NOUN
brj-24693	76	22	was	be	AUX
brj-24693	76	23	stable	stable	ADJ
brj-24693	76	24	.	.	PUNCT
brj-24693	77	1	it	it	PRON
brj-24693	77	2	was	be	AUX
brj-24693	77	3	then	then	ADV
brj-24693	77	4	calibrated	calibrate	VERB
brj-24693	77	5	using	use	VERB
brj-24693	77	6	a	a	DET
brj-24693	77	7	standard	standard	ADJ
brj-24693	77	8	whiteboard	whiteboard	NOUN
brj-24693	77	9	.	.	PUNCT
brj-24693	78	1	each	each	DET
brj-24693	78	2	pellet	pellet	NOUN
brj-24693	78	3	feed	feed	NOUN
brj-24693	78	4	sample	sample	NOUN
brj-24693	78	5	was	be	AUX
brj-24693	78	6	measured	measure	VERB
brj-24693	78	7	three	three	NUM
brj-24693	78	8	times	time	NOUN
brj-24693	78	9	independently	independently	ADV
brj-24693	78	10	,	,	PUNCT
brj-24693	78	11	and	and	CCONJ
brj-24693	78	12	the	the	DET
brj-24693	78	13	average	average	NOUN
brj-24693	78	14	of	of	ADP
brj-24693	78	15	these	these	DET
brj-24693	78	16	measurements	measurement	NOUN
brj-24693	78	17	was	be	AUX
brj-24693	78	18	recorded	record	VERB
brj-24693	78	19	.	.	PUNCT
brj-24693	79	1	after	after	SCONJ
brj-24693	79	2	the	the	DET
brj-24693	79	3	spectral	spectral	ADJ
brj-24693	79	4	data	datum	NOUN
brj-24693	79	5	was	be	AUX
brj-24693	79	6	collected	collect	VERB
brj-24693	79	7	,	,	PUNCT
brj-24693	79	8	it	it	PRON
brj-24693	79	9	was	be	AUX
brj-24693	79	10	saved	save	VERB
brj-24693	79	11	in	in	ADP
brj-24693	79	12	a	a	DET
brj-24693	79	13	designated	designate	VERB
brj-24693	79	14	folder	folder	NOUN
brj-24693	79	15	on	on	ADP
brj-24693	79	16	the	the	DET
brj-24693	79	17	computer	computer	NOUN
brj-24693	79	18	and	and	CCONJ
brj-24693	79	19	calibrated	calibrate	VERB
brj-24693	79	20	using	use	VERB
brj-24693	79	21	the	the	DET
brj-24693	79	22	lumo	lumo	NOUN
brj-24693	79	23	scanner	scanner	NOUN
brj-24693	79	24	software	software	NOUN
brj-24693	79	25	by	by	ADP
brj-24693	79	26	specim	specim	NOUN
brj-24693	79	27	to	to	PART
brj-24693	79	28	guarantee	guarantee	VERB
brj-24693	79	29	the	the	DET
brj-24693	79	30	precision	precision	NOUN
brj-24693	79	31	and	and	CCONJ
brj-24693	79	32	reliability	reliability	NOUN
brj-24693	79	33	of	of	ADP
brj-24693	79	34	further	further	ADJ
brj-24693	79	35	analyses	analysis	NOUN
brj-24693	79	36	.	.	PUNCT
brj-24693	80	1	fig	fig	NOUN
brj-24693	80	2	.	.	PUNCT
brj-24693	81	1	1	1	X
brj-24693	81	2	.	.	X
brj-24693	81	3	the	the	DET
brj-24693	81	4	hyperspectral	hyperspectral	ADJ
brj-24693	81	5	imaging	imaging	NOUN
brj-24693	81	6	system	system	NOUN
brj-24693	81	7	spectral	spectral	ADJ
brj-24693	81	8	information	information	NOUN
brj-24693	81	9	extraction	extraction	NOUN
brj-24693	81	10	spectral	spectral	ADJ
brj-24693	81	11	data	datum	NOUN
brj-24693	81	12	with	with	ADP
brj-24693	81	13	significant	significant	ADJ
brj-24693	81	14	features	feature	NOUN
brj-24693	81	15	were	be	AUX
brj-24693	81	16	extracted	extract	VERB
brj-24693	81	17	using	use	VERB
brj-24693	81	18	python	python	PROPN
brj-24693	81	19	3.11	3.11	NUM
brj-24693	81	20	software	software	NOUN
brj-24693	81	21	.	.	PUNCT
brj-24693	82	1	the	the	DET
brj-24693	82	2	pixel	pixel	PROPN
brj-24693	82	3	values	value	NOUN
brj-24693	82	4	of	of	ADP
brj-24693	82	5	the	the	DET
brj-24693	82	6	pseudo	pseudo	NOUN
brj-24693	82	7	-	-	ADJ
brj-24693	82	8	color	color	NOUN
brj-24693	82	9	images	image	NOUN
brj-24693	82	10	were	be	AUX
brj-24693	82	11	clustered	cluster	VERB
brj-24693	82	12	and	and	CCONJ
brj-24693	82	13	segmented	segment	VERB
brj-24693	82	14	using	use	VERB
brj-24693	82	15	the	the	DET
brj-24693	82	16	kmeans	kmean	NOUN
brj-24693	82	17	algorithm	algorithm	NOUN
brj-24693	82	18	,	,	PUNCT
brj-24693	82	19	and	and	CCONJ
brj-24693	82	20	the	the	DET
brj-24693	82	21	resulting	result	VERB
brj-24693	82	22	segmentation	segmentation	NOUN
brj-24693	82	23	map	map	NOUN
brj-24693	82	24	was	be	AUX
brj-24693	82	25	visualized	visualize	VERB
brj-24693	82	26	.	.	PUNCT
brj-24693	83	1	cluster	cluster	NOUN
brj-24693	83	2	labels	label	NOUN
brj-24693	83	3	were	be	AUX
brj-24693	83	4	manually	manually	ADV
brj-24693	83	5	selected	select	VERB
brj-24693	83	6	to	to	PART
brj-24693	83	7	create	create	VERB
brj-24693	83	8	the	the	DET
brj-24693	83	9	mask	mask	NOUN
brj-24693	83	10	map	map	NOUN
brj-24693	83	11	(	(	PUNCT
brj-24693	83	12	roi	roi	NOUN
brj-24693	83	13	)	)	PUNCT
brj-24693	83	14	,	,	PUNCT
brj-24693	83	15	which	which	PRON
brj-24693	83	16	was	be	AUX
brj-24693	83	17	used	use	VERB
brj-24693	83	18	to	to	PART
brj-24693	83	19	extract	extract	VERB
brj-24693	83	20	the	the	DET
brj-24693	83	21	spectral	spectral	ADJ
brj-24693	83	22	data	datum	NOUN
brj-24693	83	23	and	and	CCONJ
brj-24693	83	24	calculate	calculate	VERB
brj-24693	83	25	the	the	DET
brj-24693	83	26	average	average	ADJ
brj-24693	83	27	reflectance	reflectance	NOUN
brj-24693	83	28	for	for	ADP
brj-24693	83	29	each	each	DET
brj-24693	83	30	band	band	NOUN
brj-24693	83	31	.	.	PUNCT
brj-24693	84	1	the	the	DET
brj-24693	84	2	extraction	extraction	NOUN
brj-24693	84	3	results	result	NOUN
brj-24693	84	4	are	be	AUX
brj-24693	84	5	shown	show	VERB
brj-24693	84	6	in	in	ADP
brj-24693	84	7	fig	fig	NOUN
brj-24693	84	8	.	.	PUNCT
brj-24693	85	1	2	2	NUM
brj-24693	85	2	,	,	PUNCT
brj-24693	85	3	where	where	SCONJ
brj-24693	85	4	fig	fig	NOUN
brj-24693	85	5	.	.	PUNCT
brj-24693	86	1	2a	2a	PROPN
brj-24693	86	2	shows	show	VERB
brj-24693	86	3	the	the	DET
brj-24693	86	4	original	original	ADJ
brj-24693	86	5	spectral	spectral	ADJ
brj-24693	86	6	image	image	NOUN
brj-24693	86	7	,	,	PUNCT
brj-24693	86	8	and	and	CCONJ
brj-24693	86	9	fig	fig	NOUN
brj-24693	86	10	.	.	PUNCT
brj-24693	87	1	2b	2b	NUM
brj-24693	87	2	highlights	highlight	VERB
brj-24693	87	3	the	the	DET
brj-24693	87	4	portion	portion	NOUN
brj-24693	87	5	of	of	ADP
brj-24693	87	6	the	the	DET
brj-24693	87	7	white	white	PROPN
brj-24693	87	8	area	area	NOUN
brj-24693	87	9	containing	contain	VERB
brj-24693	87	10	the	the	DET
brj-24693	87	11	alfalfa	alfalfa	NOUN
brj-24693	87	12	-	-	PUNCT
brj-24693	87	13	potato	potato	NOUN
brj-24693	87	14	pomace	pomace	NOUN
brj-24693	87	15	pellet	pellet	NOUN
brj-24693	87	16	sample	sample	NOUN
brj-24693	87	17	.	.	PUNCT
brj-24693	88	1	(	(	PUNCT
brj-24693	88	2	a	a	X
brj-24693	88	3	)	)	PUNCT
brj-24693	88	4	(	(	PUNCT
brj-24693	88	5	b	b	X
brj-24693	88	6	)	)	PUNCT
brj-24693	88	7	fig	fig	NOUN
brj-24693	88	8	.	.	PUNCT
brj-24693	89	1	2	2	X
brj-24693	89	2	.	.	X
brj-24693	89	3	selection	selection	NOUN
brj-24693	89	4	of	of	ADP
brj-24693	89	5	alfalfa	alfalfa	NOUN
brj-24693	89	6	-	-	PUNCT
brj-24693	89	7	potato	potato	NOUN
brj-24693	89	8	pomace	pomace	NOUN
brj-24693	89	9	pellet	pellet	NOUN
brj-24693	89	10	feed	feed	NOUN
brj-24693	89	11	area	area	NOUN
brj-24693	89	12	.	.	PUNCT
brj-24693	90	1	(	(	PUNCT
brj-24693	90	2	a	a	X
brj-24693	90	3	)	)	PUNCT
brj-24693	90	4	original	original	ADJ
brj-24693	90	5	spectrogram	spectrogram	NOUN
brj-24693	90	6	;	;	PUNCT
brj-24693	90	7	(	(	PUNCT
brj-24693	90	8	b	b	X
brj-24693	90	9	)	)	PUNCT
brj-24693	90	10	algorithm	algorithm	NOUN
brj-24693	90	11	selected	select	VERB
brj-24693	90	12	region	region	NOUN
brj-24693	90	13	peer	peer	NOUN
brj-24693	90	14	-	-	PUNCT
brj-24693	90	15	reviewed	review	VERB
brj-24693	90	16	article	article	NOUN
brj-24693	90	17	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	90	18	guo	guo	PROPN
brj-24693	90	19	et	et	PROPN
brj-24693	90	20	al	al	PROPN
brj-24693	90	21	.	.	PROPN
brj-24693	91	1	(	(	PUNCT
brj-24693	91	2	2025	2025	NUM
brj-24693	91	3	)	)	PUNCT
brj-24693	91	4	.	.	PUNCT
brj-24693	92	1	“	"	PUNCT
brj-24693	92	2	imaging	imaging	NOUN
brj-24693	92	3	of	of	ADP
brj-24693	92	4	pomace	pomace	NOUN
brj-24693	92	5	for	for	ADP
brj-24693	92	6	nutrition	nutrition	NOUN
brj-24693	92	7	,	,	PUNCT
brj-24693	92	8	”	"	PUNCT
brj-24693	92	9	bioresources	bioresource	VERB
brj-24693	92	10	20(4	20(4	NOUN
brj-24693	92	11	)	)	PUNCT
brj-24693	92	12	,	,	PUNCT
brj-24693	92	13	10249	10249	NUM
brj-24693	92	14	-	-	SYM
brj-24693	92	15	10262	10262	NUM
brj-24693	92	16	.	.	PUNCT
brj-24693	93	1	10253	10253	NUM
brj-24693	93	2	data	datum	NOUN
brj-24693	93	3	preprocessing	preprocesse	VERB
brj-24693	93	4	abnormal	abnormal	ADJ
brj-24693	93	5	sample	sample	NOUN
brj-24693	93	6	rejection	rejection	NOUN
brj-24693	93	7	during	during	ADP
brj-24693	93	8	the	the	DET
brj-24693	93	9	process	process	NOUN
brj-24693	93	10	of	of	ADP
brj-24693	93	11	spectral	spectral	ADJ
brj-24693	93	12	data	datum	NOUN
brj-24693	93	13	collection	collection	NOUN
brj-24693	93	14	and	and	CCONJ
brj-24693	93	15	nutrient	nutrient	NOUN
brj-24693	93	16	testing	testing	NOUN
brj-24693	93	17	,	,	PUNCT
brj-24693	93	18	abnormal	abnormal	ADJ
brj-24693	93	19	values	value	NOUN
brj-24693	93	20	may	may	AUX
brj-24693	93	21	arise	arise	VERB
brj-24693	93	22	due	due	ADP
brj-24693	93	23	to	to	ADP
brj-24693	93	24	instrumental	instrumental	ADJ
brj-24693	93	25	interferences	interference	NOUN
brj-24693	93	26	,	,	PUNCT
brj-24693	93	27	which	which	PRON
brj-24693	93	28	can	can	AUX
brj-24693	93	29	significantly	significantly	ADV
brj-24693	93	30	impact	impact	VERB
brj-24693	93	31	the	the	DET
brj-24693	93	32	performance	performance	NOUN
brj-24693	93	33	of	of	ADP
brj-24693	93	34	subsequent	subsequent	ADJ
brj-24693	93	35	prediction	prediction	NOUN
brj-24693	93	36	models	model	NOUN
brj-24693	93	37	.	.	PUNCT
brj-24693	94	1	therefore	therefore	ADV
brj-24693	94	2	,	,	PUNCT
brj-24693	94	3	in	in	ADP
brj-24693	94	4	this	this	DET
brj-24693	94	5	study	study	NOUN
brj-24693	94	6	,	,	PUNCT
brj-24693	94	7	a	a	DET
brj-24693	94	8	combination	combination	NOUN
brj-24693	94	9	of	of	ADP
brj-24693	94	10	leverage	leverage	NOUN
brj-24693	94	11	and	and	CCONJ
brj-24693	94	12	studentized	studentize	VERB
brj-24693	94	13	residuals	residual	NOUN
brj-24693	94	14	was	be	AUX
brj-24693	94	15	used	use	VERB
brj-24693	94	16	to	to	PART
brj-24693	94	17	detect	detect	VERB
brj-24693	94	18	abnormal	abnormal	ADJ
brj-24693	94	19	samples	sample	NOUN
brj-24693	94	20	(	(	PUNCT
brj-24693	94	21	xie	xie	PROPN
brj-24693	94	22	2013	2013	NUM
brj-24693	94	23	)	)	PUNCT
brj-24693	94	24	.	.	PUNCT
brj-24693	95	1	the	the	DET
brj-24693	95	2	results	result	NOUN
brj-24693	95	3	of	of	ADP
brj-24693	95	4	abnormal	abnormal	ADJ
brj-24693	95	5	sample	sample	NOUN
brj-24693	95	6	detection	detection	NOUN
brj-24693	95	7	for	for	ADP
brj-24693	95	8	crude	crude	ADJ
brj-24693	95	9	protein	protein	NOUN
brj-24693	95	10	and	and	CCONJ
brj-24693	95	11	starch	starch	NOUN
brj-24693	95	12	content	content	NOUN
brj-24693	95	13	in	in	ADP
brj-24693	95	14	alfalfa	alfalfa	NOUN
brj-24693	95	15	-	-	PUNCT
brj-24693	95	16	potato	potato	NOUN
brj-24693	95	17	pomace	pomace	NOUN
brj-24693	95	18	pellets	pellet	NOUN
brj-24693	95	19	are	be	AUX
brj-24693	95	20	shown	show	VERB
brj-24693	95	21	in	in	ADP
brj-24693	95	22	fig	fig	NOUN
brj-24693	95	23	.	.	PUNCT
brj-24693	96	1	3	3	X
brj-24693	96	2	.	.	X
brj-24693	96	3	the	the	DET
brj-24693	96	4	crude	crude	ADJ
brj-24693	96	5	protein	protein	NOUN
brj-24693	96	6	abnormal	abnormal	ADJ
brj-24693	96	7	value	value	NOUN
brj-24693	96	8	detection	detection	NOUN
brj-24693	96	9	results	result	VERB
brj-24693	96	10	in	in	ADP
brj-24693	96	11	fig	fig	NOUN
brj-24693	96	12	.	.	PUNCT
brj-24693	97	1	3a	3a	PROPN
brj-24693	97	2	indicate	indicate	VERB
brj-24693	97	3	that	that	SCONJ
brj-24693	97	4	both	both	CCONJ
brj-24693	97	5	the	the	DET
brj-24693	97	6	leverage	leverage	NOUN
brj-24693	97	7	value	value	NOUN
brj-24693	97	8	and	and	CCONJ
brj-24693	97	9	the	the	DET
brj-24693	97	10	student	student	NOUN
brj-24693	97	11	residuals	residual	NOUN
brj-24693	97	12	of	of	ADP
brj-24693	97	13	sample	sample	NOUN
brj-24693	97	14	no	no	INTJ
brj-24693	97	15	.	.	PROPN
brj-24693	98	1	16	16	NUM
brj-24693	98	2	exceeded	exceed	VERB
brj-24693	98	3	the	the	DET
brj-24693	98	4	set	set	VERB
brj-24693	98	5	threshold	threshold	NOUN
brj-24693	98	6	range	range	NOUN
brj-24693	98	7	,	,	PUNCT
brj-24693	98	8	leading	lead	VERB
brj-24693	98	9	to	to	ADP
brj-24693	98	10	its	its	PRON
brj-24693	98	11	identification	identification	NOUN
brj-24693	98	12	as	as	ADP
brj-24693	98	13	an	an	DET
brj-24693	98	14	abnormal	abnormal	ADJ
brj-24693	98	15	sample	sample	NOUN
brj-24693	98	16	.	.	PUNCT
brj-24693	99	1	similarly	similarly	ADV
brj-24693	99	2	,	,	PUNCT
brj-24693	99	3	the	the	DET
brj-24693	99	4	starch	starch	NOUN
brj-24693	99	5	abnormal	abnormal	ADJ
brj-24693	99	6	value	value	NOUN
brj-24693	99	7	detection	detection	NOUN
brj-24693	99	8	results	result	VERB
brj-24693	99	9	in	in	ADP
brj-24693	99	10	fig	fig	NOUN
brj-24693	99	11	.	.	PUNCT
brj-24693	100	1	3b	3b	NOUN
brj-24693	100	2	show	show	VERB
brj-24693	100	3	that	that	SCONJ
brj-24693	100	4	samples	sample	VERB
brj-24693	100	5	no	no	NOUN
brj-24693	100	6	.	.	NOUN
brj-24693	101	1	16	16	NUM
brj-24693	101	2	and	and	CCONJ
brj-24693	101	3	no	no	INTJ
brj-24693	101	4	.	.	NOUN
brj-24693	101	5	18	18	NUM
brj-24693	101	6	were	be	AUX
brj-24693	101	7	recognized	recognize	VERB
brj-24693	101	8	as	as	ADP
brj-24693	101	9	abnormal	abnormal	ADJ
brj-24693	101	10	.	.	PUNCT
brj-24693	102	1	the	the	DET
brj-24693	102	2	statistical	statistical	ADJ
brj-24693	102	3	results	result	NOUN
brj-24693	102	4	for	for	ADP
brj-24693	102	5	each	each	DET
brj-24693	102	6	nutrient	nutrient	NOUN
brj-24693	102	7	content	content	NOUN
brj-24693	102	8	,	,	PUNCT
brj-24693	102	9	after	after	ADP
brj-24693	102	10	rejecting	reject	VERB
brj-24693	102	11	the	the	DET
brj-24693	102	12	abnormal	abnormal	ADJ
brj-24693	102	13	samples	sample	NOUN
brj-24693	102	14	,	,	PUNCT
brj-24693	102	15	are	be	AUX
brj-24693	102	16	presented	present	VERB
brj-24693	102	17	in	in	ADP
brj-24693	102	18	table	table	NOUN
brj-24693	102	19	1	1	NUM
brj-24693	102	20	.	.	PUNCT
brj-24693	103	1	(	(	PUNCT
brj-24693	103	2	a	a	X
brj-24693	103	3	)	)	PUNCT
brj-24693	103	4	(	(	PUNCT
brj-24693	103	5	b	b	X
brj-24693	103	6	)	)	PUNCT
brj-24693	103	7	fig	fig	NOUN
brj-24693	103	8	.	.	PUNCT
brj-24693	104	1	3	3	X
brj-24693	104	2	.	.	X
brj-24693	104	3	leverage	leverage	NOUN
brj-24693	104	4	-	-	PUNCT
brj-24693	104	5	studentized	studentize	VERB
brj-24693	104	6	residuals	residual	NOUN
brj-24693	104	7	abnormal	abnormal	ADJ
brj-24693	104	8	sample	sample	NOUN
brj-24693	104	9	rejection	rejection	NOUN
brj-24693	104	10	plot	plot	NOUN
brj-24693	104	11	.	.	PUNCT
brj-24693	105	1	(	(	PUNCT
brj-24693	105	2	a	a	X
brj-24693	105	3	)	)	PUNCT
brj-24693	105	4	abnormal	abnormal	ADJ
brj-24693	105	5	sample	sample	NOUN
brj-24693	105	6	rejection	rejection	NOUN
brj-24693	105	7	of	of	ADP
brj-24693	105	8	crude	crude	ADJ
brj-24693	105	9	protein	protein	NOUN
brj-24693	105	10	;	;	PUNCT
brj-24693	105	11	(	(	PUNCT
brj-24693	105	12	b	b	X
brj-24693	105	13	)	)	PUNCT
brj-24693	105	14	abnormal	abnormal	ADJ
brj-24693	105	15	sample	sample	NOUN
brj-24693	105	16	rejection	rejection	NOUN
brj-24693	105	17	of	of	ADP
brj-24693	105	18	starch	starch	NOUN
brj-24693	105	19	table	table	NOUN
brj-24693	105	20	1	1	NUM
brj-24693	105	21	.	.	PUNCT
brj-24693	105	22	statistical	statistical	ADJ
brj-24693	105	23	data	datum	NOUN
brj-24693	105	24	of	of	ADP
brj-24693	105	25	measured	measure	VERB
brj-24693	105	26	results	result	NOUN
brj-24693	105	27	for	for	ADP
brj-24693	105	28	crude	crude	ADJ
brj-24693	105	29	protein	protein	NOUN
brj-24693	105	30	and	and	CCONJ
brj-24693	105	31	starch	starch	NOUN
brj-24693	105	32	content	content	NOUN
brj-24693	105	33	in	in	ADP
brj-24693	105	34	pellet	pellet	NOUN
brj-24693	105	35	feed	feed	NOUN
brj-24693	105	36	category	category	NOUN
brj-24693	105	37	number	number	NOUN
brj-24693	105	38	of	of	ADP
brj-24693	105	39	anomalous	anomalous	ADJ
brj-24693	105	40	samples	sample	NOUN
brj-24693	105	41	range	range	NOUN
brj-24693	105	42	(	(	PUNCT
brj-24693	105	43	g/100	g/100	VERB
brj-24693	105	44	g	g	NOUN
brj-24693	105	45	)	)	PUNCT
brj-24693	105	46	mean	mean	NOUN
brj-24693	105	47	sd	sd	ADP
brj-24693	105	48	crude	crude	ADJ
brj-24693	105	49	protein	protein	NOUN
brj-24693	105	50	1	1	NUM
brj-24693	105	51	7.3889	7.3889	NUM
brj-24693	105	52	-	-	SYM
brj-24693	105	53	21.1555	21.1555	NUM
brj-24693	105	54	10.1998	10.1998	NUM
brj-24693	105	55	2.0215	2.0215	NUM
brj-24693	105	56	starch	starch	NOUN
brj-24693	105	57	2	2	NUM
brj-24693	105	58	16.1565	16.1565	NUM
brj-24693	105	59	-	-	SYM
brj-24693	105	60	37.2638	37.2638	NUM
brj-24693	105	61	3.1613	3.1613	NUM
brj-24693	105	62	3.2136	3.2136	NUM
brj-24693	105	63	spectral	spectral	ADJ
brj-24693	105	64	information	information	NOUN
brj-24693	105	65	division	division	NOUN
brj-24693	105	66	sample	sample	NOUN
brj-24693	105	67	set	set	VERB
brj-24693	105	68	partitioning	partitioning	NOUN
brj-24693	105	69	based	base	VERB
brj-24693	105	70	on	on	ADP
brj-24693	105	71	joint	joint	ADJ
brj-24693	105	72	x	x	PROPN
brj-24693	105	73	-	-	ADJ
brj-24693	105	74	y	y	ADJ
brj-24693	105	75	distances	distance	NOUN
brj-24693	105	76	(	(	PUNCT
brj-24693	105	77	spxy	spxy	NOUN
brj-24693	105	78	)	)	PUNCT
brj-24693	105	79	was	be	AUX
brj-24693	105	80	used	use	VERB
brj-24693	105	81	to	to	PART
brj-24693	105	82	partition	partition	VERB
brj-24693	105	83	the	the	DET
brj-24693	105	84	sample	sample	NOUN
brj-24693	105	85	set	set	VERB
brj-24693	105	86	after	after	ADP
brj-24693	105	87	rejecting	reject	VERB
brj-24693	105	88	abnormal	abnormal	ADJ
brj-24693	105	89	samples	sample	NOUN
brj-24693	105	90	,	,	PUNCT
brj-24693	105	91	which	which	PRON
brj-24693	105	92	integrates	integrate	VERB
brj-24693	105	93	the	the	DET
brj-24693	105	94	distances	distance	NOUN
brj-24693	105	95	between	between	ADP
brj-24693	105	96	the	the	DET
brj-24693	105	97	independent	independent	ADJ
brj-24693	105	98	variable	variable	NOUN
brj-24693	105	99	x	x	PUNCT
brj-24693	105	100	and	and	CCONJ
brj-24693	105	101	the	the	DET
brj-24693	105	102	dependent	dependent	ADJ
brj-24693	105	103	variable	variable	ADJ
brj-24693	105	104	y	y	PROPN
brj-24693	105	105	,	,	PUNCT
brj-24693	105	106	which	which	PRON
brj-24693	105	107	can	can	AUX
brj-24693	105	108	ensure	ensure	VERB
brj-24693	105	109	the	the	DET
brj-24693	105	110	consistency	consistency	NOUN
brj-24693	105	111	and	and	CCONJ
brj-24693	105	112	balance	balance	NOUN
brj-24693	105	113	between	between	ADP
brj-24693	105	114	the	the	DET
brj-24693	105	115	calibration	calibration	NOUN
brj-24693	105	116	set	set	VERB
brj-24693	105	117	and	and	CCONJ
brj-24693	105	118	the	the	DET
brj-24693	105	119	validation	validation	NOUN
brj-24693	105	120	set	set	VERB
brj-24693	105	121	in	in	ADP
brj-24693	105	122	terms	term	NOUN
brj-24693	105	123	of	of	ADP
brj-24693	105	124	data	datum	NOUN
brj-24693	105	125	distribution	distribution	NOUN
brj-24693	105	126	and	and	CCONJ
brj-24693	105	127	representativeness	representativeness	ADJ
brj-24693	105	128	(	(	PUNCT
brj-24693	105	129	moen	moen	PROPN
brj-24693	105	130	et	et	PROPN
brj-24693	105	131	al	al	PROPN
brj-24693	105	132	.	.	PROPN
brj-24693	105	133	2021	2021	NUM
brj-24693	105	134	)	)	PUNCT
brj-24693	105	135	.	.	PUNCT
brj-24693	106	1	in	in	ADP
brj-24693	106	2	this	this	DET
brj-24693	106	3	study	study	NOUN
brj-24693	106	4	,	,	PUNCT
brj-24693	106	5	the	the	DET
brj-24693	106	6	experimental	experimental	ADJ
brj-24693	106	7	data	datum	NOUN
brj-24693	106	8	after	after	ADP
brj-24693	106	9	rejecting	reject	VERB
brj-24693	106	10	abnormal	abnormal	ADJ
brj-24693	106	11	samples	sample	NOUN
brj-24693	106	12	were	be	AUX
brj-24693	106	13	divided	divide	VERB
brj-24693	106	14	into	into	ADP
brj-24693	106	15	correction	correction	NOUN
brj-24693	106	16	and	and	CCONJ
brj-24693	106	17	prediction	prediction	NOUN
brj-24693	106	18	sets	set	NOUN
brj-24693	106	19	using	use	VERB
brj-24693	106	20	the	the	DET
brj-24693	106	21	spxy	spxy	ADJ
brj-24693	106	22	classification	classification	NOUN
brj-24693	106	23	method	method	NOUN
brj-24693	106	24	at	at	ADP
brj-24693	106	25	a	a	DET
brj-24693	106	26	ratio	ratio	NOUN
brj-24693	106	27	of	of	ADP
brj-24693	106	28	3:1	3:1	NUM
brj-24693	106	29	.	.	PUNCT
brj-24693	107	1	s	s	PART
brj-24693	107	2	tu	tu	PROPN
brj-24693	107	3	d	d	X
brj-24693	107	4	e	e	PROPN
brj-24693	107	5	n	n	CCONJ
brj-24693	107	6	ti	ti	NOUN
brj-24693	107	7	z	z	NOUN
brj-24693	107	8	e	e	NOUN
brj-24693	107	9	d	d	NOUN
brj-24693	107	10	r	r	NOUN
brj-24693	107	11	e	e	NOUN
brj-24693	107	12	s	s	X
brj-24693	107	13	i	i	PROPN
brj-24693	107	14	d	d	PROPN
brj-24693	107	15	u	u	PROPN
brj-24693	107	16	a	a	DET
brj-24693	107	17	ls	ls	X
brj-24693	107	18	s	s	X
brj-24693	107	19	tu	tu	X
brj-24693	107	20	d	d	PROPN
brj-24693	107	21	e	e	PROPN
brj-24693	107	22	n	n	CCONJ
brj-24693	107	23	ti	ti	NOUN
brj-24693	107	24	z	z	NOUN
brj-24693	107	25	e	e	NOUN
brj-24693	108	1	d	d	NOUN
brj-24693	108	2	r	r	NOUN
brj-24693	108	3	e	e	NOUN
brj-24693	108	4	s	s	X
brj-24693	108	5	i	i	PROPN
brj-24693	108	6	d	d	PROPN
brj-24693	108	7	u	u	PROPN
brj-24693	108	8	a	a	DET
brj-24693	108	9	ls	ls	ADJ
brj-24693	108	10	peer	peer	NOUN
brj-24693	108	11	-	-	PUNCT
brj-24693	108	12	reviewed	review	VERB
brj-24693	108	13	article	article	NOUN
brj-24693	108	14	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	108	15	guo	guo	PROPN
brj-24693	108	16	et	et	PROPN
brj-24693	108	17	al	al	PROPN
brj-24693	108	18	.	.	PROPN
brj-24693	109	1	(	(	PUNCT
brj-24693	109	2	2025	2025	NUM
brj-24693	109	3	)	)	PUNCT
brj-24693	109	4	.	.	PUNCT
brj-24693	110	1	“	"	PUNCT
brj-24693	110	2	imaging	imaging	NOUN
brj-24693	110	3	of	of	ADP
brj-24693	110	4	pomace	pomace	NOUN
brj-24693	110	5	for	for	ADP
brj-24693	110	6	nutrition	nutrition	NOUN
brj-24693	110	7	,	,	PUNCT
brj-24693	110	8	”	"	PUNCT
brj-24693	110	9	bioresources	bioresource	VERB
brj-24693	110	10	20(4	20(4	NOUN
brj-24693	110	11	)	)	PUNCT
brj-24693	110	12	,	,	PUNCT
brj-24693	110	13	10249	10249	NUM
brj-24693	110	14	-	-	SYM
brj-24693	110	15	10262	10262	NUM
brj-24693	110	16	.	.	PUNCT
brj-24693	111	1	10254	10254	NUM
brj-24693	111	2	preprocessing	preprocesse	VERB
brj-24693	111	3	methods	method	NOUN
brj-24693	111	4	due	due	ADJ
brj-24693	111	5	to	to	ADP
brj-24693	111	6	factors	factor	NOUN
brj-24693	111	7	such	such	ADJ
brj-24693	111	8	as	as	ADP
brj-24693	111	9	instrument	instrument	NOUN
brj-24693	111	10	performance	performance	NOUN
brj-24693	111	11	,	,	PUNCT
brj-24693	111	12	environmental	environmental	ADJ
brj-24693	111	13	conditions	condition	NOUN
brj-24693	111	14	during	during	ADP
brj-24693	111	15	testing	testing	NOUN
brj-24693	111	16	,	,	PUNCT
brj-24693	111	17	and	and	CCONJ
brj-24693	111	18	measurement	measurement	NOUN
brj-24693	111	19	conditions	condition	NOUN
brj-24693	111	20	,	,	PUNCT
brj-24693	111	21	directly	directly	ADV
brj-24693	111	22	acquired	acquire	VERB
brj-24693	111	23	spectral	spectral	ADJ
brj-24693	111	24	images	image	NOUN
brj-24693	111	25	often	often	ADV
brj-24693	111	26	contain	contain	VERB
brj-24693	111	27	some	some	DET
brj-24693	111	28	noise	noise	NOUN
brj-24693	111	29	.	.	PUNCT
brj-24693	112	1	this	this	DET
brj-24693	112	2	noise	noise	NOUN
brj-24693	112	3	is	be	AUX
brj-24693	112	4	typically	typically	ADV
brj-24693	112	5	distributed	distribute	VERB
brj-24693	112	6	at	at	ADP
brj-24693	112	7	the	the	DET
brj-24693	112	8	baseline	baseline	ADJ
brj-24693	112	9	and	and	CCONJ
brj-24693	112	10	peak	peak	NOUN
brj-24693	112	11	signals	signal	NOUN
brj-24693	112	12	,	,	PUNCT
brj-24693	112	13	making	make	VERB
brj-24693	112	14	it	it	PRON
brj-24693	112	15	difficult	difficult	ADJ
brj-24693	112	16	to	to	PART
brj-24693	112	17	identify	identify	VERB
brj-24693	112	18	within	within	ADP
brj-24693	112	19	the	the	DET
brj-24693	112	20	total	total	ADJ
brj-24693	112	21	signal	signal	NOUN
brj-24693	112	22	.	.	PUNCT
brj-24693	113	1	to	to	PART
brj-24693	113	2	mitigate	mitigate	VERB
brj-24693	113	3	or	or	CCONJ
brj-24693	113	4	even	even	ADV
brj-24693	113	5	eliminate	eliminate	VERB
brj-24693	113	6	the	the	DET
brj-24693	113	7	effect	effect	NOUN
brj-24693	113	8	of	of	ADP
brj-24693	113	9	noise	noise	NOUN
brj-24693	113	10	,	,	PUNCT
brj-24693	113	11	the	the	DET
brj-24693	113	12	main	main	ADJ
brj-24693	113	13	preprocessing	preprocessing	NOUN
brj-24693	113	14	methods	method	NOUN
brj-24693	113	15	used	use	VERB
brj-24693	113	16	in	in	ADP
brj-24693	113	17	this	this	DET
brj-24693	113	18	study	study	NOUN
brj-24693	113	19	included	include	VERB
brj-24693	113	20	mean	mean	ADJ
brj-24693	113	21	centering	center	VERB
brj-24693	113	22	(	(	PUNCT
brj-24693	113	23	mc	mc	PROPN
brj-24693	113	24	)	)	PUNCT
brj-24693	113	25	,	,	PUNCT
brj-24693	113	26	standard	standard	ADJ
brj-24693	113	27	normal	normal	ADJ
brj-24693	113	28	variate	variate	NOUN
brj-24693	113	29	(	(	PUNCT
brj-24693	113	30	snv	snv	PROPN
brj-24693	113	31	)	)	PUNCT
brj-24693	113	32	,	,	PUNCT
brj-24693	113	33	savitzky	savitzky	NOUN
brj-24693	113	34	-	-	PUNCT
brj-24693	113	35	golay	golay	PROPN
brj-24693	113	36	(	(	PUNCT
brj-24693	113	37	sg	sg	NOUN
brj-24693	113	38	)	)	PUNCT
brj-24693	113	39	convolutional	convolutional	ADJ
brj-24693	113	40	smoothing	smoothing	NOUN
brj-24693	113	41	(	(	PUNCT
brj-24693	113	42	with	with	ADP
brj-24693	113	43	a	a	DET
brj-24693	113	44	derivative	derivative	ADJ
brj-24693	113	45	order	order	NOUN
brj-24693	113	46	of	of	ADP
brj-24693	113	47	2	2	NUM
brj-24693	113	48	and	and	CCONJ
brj-24693	113	49	a	a	DET
brj-24693	113	50	smoothing	smooth	VERB
brj-24693	113	51	point	point	NOUN
brj-24693	113	52	of	of	ADP
brj-24693	113	53	9	9	NUM
brj-24693	113	54	)	)	PUNCT
brj-24693	113	55	,	,	PUNCT
brj-24693	113	56	and	and	CCONJ
brj-24693	113	57	orthogonal	orthogonal	ADJ
brj-24693	113	58	signal	signal	NOUN
brj-24693	113	59	correction	correction	NOUN
brj-24693	113	60	(	(	PUNCT
brj-24693	113	61	osc	osc	PROPN
brj-24693	113	62	)	)	PUNCT
brj-24693	113	63	for	for	ADP
brj-24693	113	64	spectral	spectral	ADJ
brj-24693	113	65	data	datum	NOUN
brj-24693	113	66	preprocessing	preprocessing	NOUN
brj-24693	113	67	.	.	PUNCT
brj-24693	114	1	extraction	extraction	NOUN
brj-24693	114	2	of	of	ADP
brj-24693	114	3	effective	effective	ADJ
brj-24693	114	4	wavelengths	wavelength	NOUN
brj-24693	114	5	due	due	ADP
brj-24693	114	6	to	to	ADP
brj-24693	114	7	the	the	DET
brj-24693	114	8	characteristics	characteristic	NOUN
brj-24693	114	9	of	of	ADP
brj-24693	114	10	full	full	ADJ
brj-24693	114	11	-	-	PUNCT
brj-24693	114	12	spectrum	spectrum	NOUN
brj-24693	114	13	data	datum	NOUN
brj-24693	114	14	,	,	PUNCT
brj-24693	114	15	such	such	ADJ
brj-24693	114	16	as	as	ADP
brj-24693	114	17	high	high	ADJ
brj-24693	114	18	dimensionality	dimensionality	NOUN
brj-24693	114	19	,	,	PUNCT
brj-24693	114	20	many	many	ADJ
brj-24693	114	21	bands	band	NOUN
brj-24693	114	22	,	,	PUNCT
brj-24693	114	23	large	large	ADJ
brj-24693	114	24	data	datum	NOUN
brj-24693	114	25	volume	volume	NOUN
brj-24693	114	26	,	,	PUNCT
brj-24693	114	27	and	and	CCONJ
brj-24693	114	28	redundant	redundant	ADJ
brj-24693	114	29	information	information	NOUN
brj-24693	114	30	,	,	PUNCT
brj-24693	114	31	a	a	DET
brj-24693	114	32	significant	significant	ADJ
brj-24693	114	33	amount	amount	NOUN
brj-24693	114	34	of	of	ADP
brj-24693	114	35	computation	computation	NOUN
brj-24693	114	36	is	be	AUX
brj-24693	114	37	required	require	VERB
brj-24693	114	38	when	when	SCONJ
brj-24693	114	39	establishing	establish	VERB
brj-24693	114	40	the	the	DET
brj-24693	114	41	prediction	prediction	NOUN
brj-24693	114	42	model	model	NOUN
brj-24693	114	43	.	.	PUNCT
brj-24693	115	1	therefore	therefore	ADV
brj-24693	115	2	,	,	PUNCT
brj-24693	115	3	to	to	PART
brj-24693	115	4	reduce	reduce	VERB
brj-24693	115	5	computational	computational	ADJ
brj-24693	115	6	demands	demand	NOUN
brj-24693	115	7	,	,	PUNCT
brj-24693	115	8	the	the	DET
brj-24693	115	9	original	original	ADJ
brj-24693	115	10	data	datum	NOUN
brj-24693	115	11	must	must	AUX
brj-24693	115	12	be	be	AUX
brj-24693	115	13	downscaled	downscale	VERB
brj-24693	115	14	.	.	PUNCT
brj-24693	116	1	in	in	ADP
brj-24693	116	2	this	this	DET
brj-24693	116	3	study	study	NOUN
brj-24693	116	4	,	,	PUNCT
brj-24693	116	5	competitive	competitive	ADJ
brj-24693	116	6	adaptive	adaptive	ADJ
brj-24693	116	7	reweighted	reweighte	VERB
brj-24693	116	8	sampling	sample	VERB
brj-24693	116	9	(	(	PUNCT
brj-24693	116	10	cars	car	NOUN
brj-24693	116	11	)	)	PUNCT
brj-24693	116	12	(	(	PUNCT
brj-24693	116	13	li	li	PROPN
brj-24693	116	14	et	et	PROPN
brj-24693	116	15	al	al	PROPN
brj-24693	116	16	.	.	PROPN
brj-24693	116	17	2009	2009	NUM
brj-24693	116	18	)	)	PUNCT
brj-24693	116	19	and	and	CCONJ
brj-24693	116	20	gradient	gradient	NOUN
brj-24693	116	21	boosting	boost	VERB
brj-24693	116	22	(	(	PUNCT
brj-24693	116	23	gb	gb	NOUN
brj-24693	116	24	)	)	PUNCT
brj-24693	116	25	(	(	PUNCT
brj-24693	116	26	bentéjac	bentéjac	NOUN
brj-24693	116	27	et	et	PROPN
brj-24693	116	28	al	al	PROPN
brj-24693	116	29	.	.	PROPN
brj-24693	116	30	2021	2021	NUM
brj-24693	116	31	)	)	PUNCT
brj-24693	116	32	methods	method	NOUN
brj-24693	116	33	were	be	AUX
brj-24693	116	34	used	use	VERB
brj-24693	116	35	to	to	PART
brj-24693	116	36	extract	extract	VERB
brj-24693	116	37	the	the	DET
brj-24693	116	38	effective	effective	ADJ
brj-24693	116	39	wavelengths	wavelength	NOUN
brj-24693	116	40	.	.	PUNCT
brj-24693	117	1	extraction	extraction	NOUN
brj-24693	117	2	of	of	ADP
brj-24693	117	3	textural	textural	ADJ
brj-24693	117	4	data	datum	NOUN
brj-24693	117	5	texture	texture	NOUN
brj-24693	117	6	features	feature	NOUN
brj-24693	117	7	are	be	AUX
brj-24693	117	8	important	important	ADJ
brj-24693	117	9	visual	visual	ADJ
brj-24693	117	10	features	feature	NOUN
brj-24693	117	11	in	in	ADP
brj-24693	117	12	image	image	NOUN
brj-24693	117	13	analysis	analysis	NOUN
brj-24693	117	14	,	,	PUNCT
brj-24693	117	15	reflecting	reflect	VERB
brj-24693	117	16	the	the	DET
brj-24693	117	17	spatial	spatial	ADJ
brj-24693	117	18	structure	structure	NOUN
brj-24693	117	19	and	and	CCONJ
brj-24693	117	20	homogeneity	homogeneity	NOUN
brj-24693	117	21	of	of	ADP
brj-24693	117	22	an	an	DET
brj-24693	117	23	image	image	NOUN
brj-24693	117	24	.	.	PUNCT
brj-24693	118	1	they	they	PRON
brj-24693	118	2	not	not	PART
brj-24693	118	3	only	only	ADV
brj-24693	118	4	reveal	reveal	VERB
brj-24693	118	5	the	the	DET
brj-24693	118	6	macroscopic	macroscopic	ADJ
brj-24693	118	7	properties	property	NOUN
brj-24693	118	8	of	of	ADP
brj-24693	118	9	the	the	DET
brj-24693	118	10	sample	sample	NOUN
brj-24693	118	11	but	but	CCONJ
brj-24693	118	12	also	also	ADV
brj-24693	118	13	provide	provide	VERB
brj-24693	118	14	insight	insight	NOUN
brj-24693	118	15	into	into	ADP
brj-24693	118	16	its	its	PRON
brj-24693	118	17	microstructure	microstructure	NOUN
brj-24693	118	18	.	.	PUNCT
brj-24693	119	1	the	the	DET
brj-24693	119	2	gray	gray	ADJ
brj-24693	119	3	-	-	PUNCT
brj-24693	119	4	level	level	NOUN
brj-24693	119	5	cooccurrence	cooccurrence	NOUN
brj-24693	119	6	matrix	matrix	NOUN
brj-24693	119	7	(	(	PUNCT
brj-24693	119	8	glcm	glcm	PROPN
brj-24693	119	9	)	)	PUNCT
brj-24693	119	10	is	be	AUX
brj-24693	119	11	the	the	DET
brj-24693	119	12	most	most	ADV
brj-24693	119	13	widely	widely	ADV
brj-24693	119	14	used	use	VERB
brj-24693	119	15	technique	technique	NOUN
brj-24693	119	16	for	for	ADP
brj-24693	119	17	texture	texture	ADJ
brj-24693	119	18	analysis	analysis	NOUN
brj-24693	119	19	,	,	PUNCT
brj-24693	119	20	extracting	extract	VERB
brj-24693	119	21	features	feature	NOUN
brj-24693	119	22	by	by	ADP
brj-24693	119	23	analyzing	analyze	VERB
brj-24693	119	24	the	the	DET
brj-24693	119	25	spatial	spatial	ADJ
brj-24693	119	26	relationships	relationship	NOUN
brj-24693	119	27	of	of	ADP
brj-24693	119	28	pixel	pixel	PROPN
brj-24693	119	29	gray	gray	ADJ
brj-24693	119	30	values	value	NOUN
brj-24693	119	31	in	in	ADP
brj-24693	119	32	an	an	DET
brj-24693	119	33	image	image	NOUN
brj-24693	119	34	(	(	PUNCT
brj-24693	119	35	jiang	jiang	PROPN
brj-24693	119	36	et	et	PROPN
brj-24693	119	37	al	al	PROPN
brj-24693	119	38	.	.	PROPN
brj-24693	119	39	2019	2019	NUM
brj-24693	119	40	)	)	PUNCT
brj-24693	119	41	.	.	PUNCT
brj-24693	120	1	since	since	SCONJ
brj-24693	120	2	images	image	NOUN
brj-24693	120	3	captured	capture	VERB
brj-24693	120	4	at	at	ADP
brj-24693	120	5	different	different	ADJ
brj-24693	120	6	angles	angle	NOUN
brj-24693	120	7	and	and	CCONJ
brj-24693	120	8	distances	distance	NOUN
brj-24693	120	9	can	can	AUX
brj-24693	120	10	produce	produce	VERB
brj-24693	120	11	varying	vary	VERB
brj-24693	120	12	gray	gray	ADJ
brj-24693	120	13	-	-	PUNCT
brj-24693	120	14	level	level	NOUN
brj-24693	120	15	co	co	NOUN
brj-24693	120	16	-	-	NOUN
brj-24693	120	17	occurrence	occurrence	ADJ
brj-24693	120	18	matrices	matrix	NOUN
brj-24693	120	19	,	,	PUNCT
brj-24693	120	20	this	this	DET
brj-24693	120	21	study	study	NOUN
brj-24693	120	22	sets	set	VERB
brj-24693	120	23	the	the	DET
brj-24693	120	24	distance	distance	NOUN
brj-24693	120	25	to	to	ADP
brj-24693	120	26	1	1	NUM
brj-24693	120	27	and	and	CCONJ
brj-24693	120	28	considers	consider	VERB
brj-24693	120	29	four	four	NUM
brj-24693	120	30	texture	texture	NOUN
brj-24693	120	31	features	feature	NOUN
brj-24693	120	32	—	—	PUNCT
brj-24693	120	33	energy	energy	NOUN
brj-24693	120	34	,	,	PUNCT
brj-24693	120	35	entropy	entropy	NOUN
brj-24693	120	36	,	,	PUNCT
brj-24693	120	37	homogeneity	homogeneity	NOUN
brj-24693	120	38	,	,	PUNCT
brj-24693	120	39	and	and	CCONJ
brj-24693	120	40	correlation	correlation	NOUN
brj-24693	120	41	—	—	PUNCT
brj-24693	120	42	at	at	ADP
brj-24693	120	43	four	four	NUM
brj-24693	120	44	different	different	ADJ
brj-24693	120	45	directions	direction	NOUN
brj-24693	120	46	(	(	PUNCT
brj-24693	120	47	0	0	NUM
brj-24693	120	48	,	,	PUNCT
brj-24693	120	49	45	45	NUM
brj-24693	120	50	,	,	PUNCT
brj-24693	120	51	90	90	NUM
brj-24693	120	52	,	,	PUNCT
brj-24693	120	53	and	and	CCONJ
brj-24693	120	54	135	135	NUM
brj-24693	120	55	°	°	NUM
brj-24693	120	56	)	)	PUNCT
brj-24693	120	57	.	.	PUNCT
brj-24693	121	1	before	before	ADP
brj-24693	121	2	extracting	extract	VERB
brj-24693	121	3	texture	texture	ADJ
brj-24693	121	4	features	feature	NOUN
brj-24693	121	5	,	,	PUNCT
brj-24693	121	6	principal	principal	ADJ
brj-24693	121	7	component	component	NOUN
brj-24693	121	8	analysis	analysis	NOUN
brj-24693	121	9	(	(	PUNCT
brj-24693	121	10	pca	pca	NOUN
brj-24693	121	11	)	)	PUNCT
brj-24693	121	12	was	be	AUX
brj-24693	121	13	performed	perform	VERB
brj-24693	121	14	on	on	ADP
brj-24693	121	15	the	the	DET
brj-24693	121	16	hyperspectral	hyperspectral	ADJ
brj-24693	121	17	image	image	NOUN
brj-24693	121	18	data	datum	NOUN
brj-24693	121	19	.	.	PUNCT
brj-24693	122	1	the	the	DET
brj-24693	122	2	texture	texture	NOUN
brj-24693	122	3	features	feature	NOUN
brj-24693	122	4	of	of	ADP
brj-24693	122	5	the	the	DET
brj-24693	122	6	image	image	NOUN
brj-24693	122	7	were	be	AUX
brj-24693	122	8	successfully	successfully	ADV
brj-24693	122	9	extracted	extract	VERB
brj-24693	122	10	by	by	ADP
brj-24693	122	11	the	the	DET
brj-24693	122	12	glcm	glcm	PROPN
brj-24693	122	13	analysis	analysis	NOUN
brj-24693	122	14	of	of	ADP
brj-24693	122	15	the	the	DET
brj-24693	122	16	first	first	ADJ
brj-24693	122	17	principal	principal	ADJ
brj-24693	122	18	component	component	NOUN
brj-24693	122	19	(	(	PUNCT
brj-24693	122	20	pc1	pc1	NOUN
brj-24693	122	21	)	)	PUNCT
brj-24693	122	22	score	score	NOUN
brj-24693	122	23	image	image	NOUN
brj-24693	122	24	and	and	CCONJ
brj-24693	122	25	explained	explain	VERB
brj-24693	122	26	95.39	95.39	NUM
brj-24693	122	27	%	%	NOUN
brj-24693	122	28	of	of	ADP
brj-24693	122	29	the	the	DET
brj-24693	122	30	variance	variance	NOUN
brj-24693	122	31	.	.	PUNCT
brj-24693	123	1	based	base	VERB
brj-24693	123	2	on	on	ADP
brj-24693	123	3	this	this	PRON
brj-24693	123	4	,	,	PUNCT
brj-24693	123	5	texture	texture	ADJ
brj-24693	123	6	variables	variable	NOUN
brj-24693	123	7	were	be	AUX
brj-24693	123	8	calculated	calculate	VERB
brj-24693	123	9	for	for	ADP
brj-24693	123	10	all	all	DET
brj-24693	123	11	samples	sample	NOUN
brj-24693	123	12	,	,	PUNCT
brj-24693	123	13	and	and	CCONJ
brj-24693	123	14	the	the	DET
brj-24693	123	15	average	average	ADJ
brj-24693	123	16	texture	texture	NOUN
brj-24693	123	17	values	value	NOUN
brj-24693	123	18	in	in	ADP
brj-24693	123	19	different	different	ADJ
brj-24693	123	20	directions	direction	NOUN
brj-24693	123	21	were	be	AUX
brj-24693	123	22	selected	select	VERB
brj-24693	123	23	as	as	SCONJ
brj-24693	123	24	the	the	DET
brj-24693	123	25	texture	texture	NOUN
brj-24693	123	26	features	feature	VERB
brj-24693	123	27	for	for	ADP
brj-24693	123	28	each	each	DET
brj-24693	123	29	sample	sample	NOUN
brj-24693	123	30	.	.	PUNCT
brj-24693	124	1	in	in	ADP
brj-24693	124	2	the	the	DET
brj-24693	124	3	end	end	NOUN
brj-24693	124	4	,	,	PUNCT
brj-24693	124	5	four	four	NUM
brj-24693	124	6	texture	texture	NOUN
brj-24693	124	7	features	feature	NOUN
brj-24693	124	8	were	be	AUX
brj-24693	124	9	obtained	obtain	VERB
brj-24693	124	10	from	from	ADP
brj-24693	124	11	each	each	DET
brj-24693	124	12	image	image	NOUN
brj-24693	124	13	for	for	ADP
brj-24693	124	14	subsequent	subsequent	ADJ
brj-24693	124	15	modeling	modeling	NOUN
brj-24693	124	16	analysis	analysis	NOUN
brj-24693	124	17	.	.	PUNCT
brj-24693	125	1	model	model	NOUN
brj-24693	125	2	development	development	NOUN
brj-24693	125	3	and	and	CCONJ
brj-24693	125	4	evaluation	evaluation	NOUN
brj-24693	125	5	the	the	DET
brj-24693	125	6	support	support	NOUN
brj-24693	125	7	vector	vector	NOUN
brj-24693	125	8	regression	regression	NOUN
brj-24693	125	9	(	(	PUNCT
brj-24693	125	10	svr	svr	PROPN
brj-24693	125	11	)	)	PUNCT
brj-24693	125	12	model	model	NOUN
brj-24693	125	13	was	be	AUX
brj-24693	125	14	used	use	VERB
brj-24693	125	15	to	to	PART
brj-24693	125	16	predict	predict	VERB
brj-24693	125	17	crude	crude	ADJ
brj-24693	125	18	protein	protein	NOUN
brj-24693	125	19	and	and	CCONJ
brj-24693	125	20	starch	starch	NOUN
brj-24693	125	21	content	content	NOUN
brj-24693	125	22	in	in	ADP
brj-24693	125	23	feed	feed	NOUN
brj-24693	125	24	pellets	pellet	NOUN
brj-24693	125	25	.	.	PUNCT
brj-24693	126	1	svr	svr	PROPN
brj-24693	126	2	is	be	AUX
brj-24693	126	3	an	an	DET
brj-24693	126	4	application	application	NOUN
brj-24693	126	5	of	of	ADP
brj-24693	126	6	the	the	DET
brj-24693	126	7	support	support	NOUN
brj-24693	126	8	vector	vector	NOUN
brj-24693	126	9	machine	machine	NOUN
brj-24693	126	10	(	(	PUNCT
brj-24693	126	11	svm	svm	PROPN
brj-24693	126	12	)	)	PUNCT
brj-24693	126	13	,	,	PUNCT
brj-24693	126	14	primarily	primarily	ADV
brj-24693	126	15	used	use	VERB
brj-24693	126	16	for	for	ADP
brj-24693	126	17	reliability	reliability	NOUN
brj-24693	126	18	analysis	analysis	NOUN
brj-24693	126	19	and	and	CCONJ
brj-24693	126	20	response	response	NOUN
brj-24693	126	21	prediction	prediction	NOUN
brj-24693	126	22	.	.	PUNCT
brj-24693	127	1	the	the	DET
brj-24693	127	2	basic	basic	ADJ
brj-24693	127	3	idea	idea	NOUN
brj-24693	127	4	behind	behind	ADP
brj-24693	127	5	svr	svr	PROPN
brj-24693	127	6	is	be	AUX
brj-24693	127	7	to	to	PART
brj-24693	127	8	map	map	VERB
brj-24693	127	9	a	a	DET
brj-24693	127	10	nonlinear	nonlinear	ADJ
brj-24693	127	11	problem	problem	NOUN
brj-24693	127	12	to	to	ADP
brj-24693	127	13	a	a	DET
brj-24693	127	14	high	high	ADJ
brj-24693	127	15	-	-	PUNCT
brj-24693	127	16	dimensional	dimensional	ADJ
brj-24693	127	17	space	space	NOUN
brj-24693	127	18	using	use	VERB
brj-24693	127	19	a	a	DET
brj-24693	127	20	kernel	kernel	NOUN
brj-24693	127	21	function	function	NOUN
brj-24693	127	22	,	,	PUNCT
brj-24693	127	23	enabling	enable	VERB
brj-24693	127	24	linear	linear	NOUN
brj-24693	127	25	regression	regression	NOUN
brj-24693	127	26	for	for	ADP
brj-24693	127	27	optimal	optimal	ADJ
brj-24693	127	28	learning	learning	NOUN
brj-24693	127	29	.	.	PUNCT
brj-24693	128	1	to	to	PART
brj-24693	128	2	evaluate	evaluate	VERB
brj-24693	128	3	the	the	DET
brj-24693	128	4	accuracy	accuracy	NOUN
brj-24693	128	5	and	and	CCONJ
brj-24693	128	6	predictive	predictive	ADJ
brj-24693	128	7	ability	ability	NOUN
brj-24693	128	8	of	of	ADP
brj-24693	128	9	the	the	DET
brj-24693	128	10	models	model	NOUN
brj-24693	128	11	,	,	PUNCT
brj-24693	128	12	the	the	DET
brj-24693	128	13	coefficient	coefficient	NOUN
brj-24693	128	14	of	of	ADP
brj-24693	128	15	determination	determination	NOUN
brj-24693	128	16	(	(	PUNCT
brj-24693	128	17	r2	r2	PROPN
brj-24693	128	18	)	)	PUNCT
brj-24693	128	19	and	and	CCONJ
brj-24693	128	20	root	root	NOUN
brj-24693	128	21	mean	mean	NOUN
brj-24693	128	22	square	square	ADJ
brj-24693	128	23	error	error	NOUN
brj-24693	128	24	(	(	PUNCT
brj-24693	128	25	rmse	rmse	NOUN
brj-24693	128	26	)	)	PUNCT
brj-24693	128	27	were	be	AUX
brj-24693	128	28	used	use	VERB
brj-24693	128	29	.	.	PUNCT
brj-24693	129	1	the	the	PRON
brj-24693	129	2	closer	close	ADV
brj-24693	129	3	the	the	DET
brj-24693	129	4	r²	r²	NOUN
brj-24693	129	5	is	be	AUX
brj-24693	129	6	to	to	ADP
brj-24693	129	7	1	1	NUM
brj-24693	129	8	and	and	CCONJ
brj-24693	129	9	the	the	DET
brj-24693	129	10	smaller	small	ADJ
brj-24693	129	11	the	the	DET
brj-24693	129	12	rmse	rmse	NOUN
brj-24693	129	13	,	,	PUNCT
brj-24693	129	14	the	the	PRON
brj-24693	129	15	higher	high	ADJ
brj-24693	129	16	the	the	DET
brj-24693	129	17	correlation	correlation	NOUN
brj-24693	129	18	between	between	ADP
brj-24693	129	19	the	the	DET
brj-24693	129	20	spectral	spectral	ADJ
brj-24693	129	21	information	information	NOUN
brj-24693	129	22	extracted	extract	VERB
brj-24693	129	23	by	by	ADP
brj-24693	129	24	the	the	DET
brj-24693	129	25	model	model	NOUN
brj-24693	129	26	and	and	CCONJ
brj-24693	129	27	the	the	DET
brj-24693	129	28	nutrient	nutrient	NOUN
brj-24693	129	29	content	content	NOUN
brj-24693	129	30	,	,	PUNCT
brj-24693	129	31	indicating	indicate	VERB
brj-24693	129	32	better	well	ADJ
brj-24693	129	33	model	model	NOUN
brj-24693	129	34	performance	performance	NOUN
brj-24693	129	35	and	and	CCONJ
brj-24693	129	36	stability	stability	NOUN
brj-24693	129	37	.	.	PUNCT
brj-24693	130	1	peer	peer	NOUN
brj-24693	130	2	-	-	PUNCT
brj-24693	130	3	reviewed	review	VERB
brj-24693	130	4	article	article	NOUN
brj-24693	130	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	130	6	guo	guo	PROPN
brj-24693	130	7	et	et	PROPN
brj-24693	130	8	al	al	PROPN
brj-24693	130	9	.	.	PROPN
brj-24693	131	1	(	(	PUNCT
brj-24693	131	2	2025	2025	NUM
brj-24693	131	3	)	)	PUNCT
brj-24693	131	4	.	.	PUNCT
brj-24693	132	1	“	"	PUNCT
brj-24693	132	2	imaging	imaging	NOUN
brj-24693	132	3	of	of	ADP
brj-24693	132	4	pomace	pomace	NOUN
brj-24693	132	5	for	for	ADP
brj-24693	132	6	nutrition	nutrition	NOUN
brj-24693	132	7	,	,	PUNCT
brj-24693	132	8	”	"	PUNCT
brj-24693	132	9	bioresources	bioresource	VERB
brj-24693	132	10	20(4	20(4	NOUN
brj-24693	132	11	)	)	PUNCT
brj-24693	132	12	,	,	PUNCT
brj-24693	132	13	10249	10249	NUM
brj-24693	132	14	-	-	SYM
brj-24693	132	15	10262	10262	NUM
brj-24693	132	16	.	.	PUNCT
brj-24693	133	1	10255	10255	NUM
brj-24693	133	2	results	result	NOUN
brj-24693	133	3	and	and	CCONJ
brj-24693	133	4	discussion	discussion	NOUN
brj-24693	133	5	prediction	prediction	NOUN
brj-24693	133	6	models	model	NOUN
brj-24693	133	7	with	with	ADP
brj-24693	133	8	full	full	ADJ
brj-24693	133	9	spectral	spectral	ADJ
brj-24693	133	10	range	range	NOUN
brj-24693	133	11	in	in	ADP
brj-24693	133	12	this	this	DET
brj-24693	133	13	study	study	NOUN
brj-24693	133	14	,	,	PUNCT
brj-24693	133	15	four	four	NUM
brj-24693	133	16	algorithms	algorithm	NOUN
brj-24693	133	17	,	,	PUNCT
brj-24693	133	18	namely	namely	ADV
brj-24693	133	19	mc	mc	PROPN
brj-24693	133	20	,	,	PUNCT
brj-24693	133	21	snv	snv	PROPN
brj-24693	133	22	,	,	PUNCT
brj-24693	133	23	sg	sg	ADP
brj-24693	133	24	convolutional	convolutional	ADJ
brj-24693	133	25	smoothing	smoothing	NOUN
brj-24693	133	26	,	,	PUNCT
brj-24693	133	27	and	and	CCONJ
brj-24693	133	28	osc	osc	PROPN
brj-24693	133	29	were	be	AUX
brj-24693	133	30	used	use	VERB
brj-24693	133	31	to	to	PART
brj-24693	133	32	process	process	VERB
brj-24693	133	33	the	the	DET
brj-24693	133	34	raw	raw	ADJ
brj-24693	133	35	spectra	spectra	NOUN
brj-24693	133	36	to	to	PART
brj-24693	133	37	eliminate	eliminate	VERB
brj-24693	133	38	the	the	DET
brj-24693	133	39	background	background	NOUN
brj-24693	133	40	information	information	NOUN
brj-24693	133	41	interference	interference	NOUN
brj-24693	133	42	.	.	PUNCT
brj-24693	134	1	svr	svr	PROPN
brj-24693	134	2	analysis	analysis	NOUN
brj-24693	134	3	was	be	AUX
brj-24693	134	4	performed	perform	VERB
brj-24693	134	5	on	on	ADP
brj-24693	134	6	the	the	DET
brj-24693	134	7	raw	raw	ADJ
brj-24693	134	8	and	and	CCONJ
brj-24693	134	9	preprocessed	preprocesse	VERB
brj-24693	134	10	spectral	spectral	ADJ
brj-24693	134	11	data	datum	NOUN
brj-24693	134	12	to	to	PART
brj-24693	134	13	establish	establish	VERB
brj-24693	134	14	a	a	DET
brj-24693	134	15	prediction	prediction	NOUN
brj-24693	134	16	model	model	NOUN
brj-24693	134	17	for	for	ADP
brj-24693	134	18	crude	crude	ADJ
brj-24693	134	19	protein	protein	NOUN
brj-24693	134	20	and	and	CCONJ
brj-24693	134	21	starch	starch	NOUN
brj-24693	134	22	content	content	NOUN
brj-24693	134	23	in	in	ADP
brj-24693	134	24	pellet	pellet	NOUN
brj-24693	134	25	feed	feed	NOUN
brj-24693	134	26	.	.	PUNCT
brj-24693	135	1	as	as	SCONJ
brj-24693	135	2	shown	show	VERB
brj-24693	135	3	in	in	ADP
brj-24693	135	4	fig	fig	NOUN
brj-24693	135	5	.	.	PUNCT
brj-24693	136	1	4	4	NUM
brj-24693	136	2	,	,	PUNCT
brj-24693	136	3	when	when	SCONJ
brj-24693	136	4	raw	raw	ADJ
brj-24693	136	5	spectra	spectra	NOUN
brj-24693	136	6	were	be	AUX
brj-24693	136	7	used	use	VERB
brj-24693	136	8	for	for	ADP
brj-24693	136	9	the	the	DET
brj-24693	136	10	determination	determination	NOUN
brj-24693	136	11	of	of	ADP
brj-24693	136	12	crude	crude	ADJ
brj-24693	136	13	protein	protein	NOUN
brj-24693	136	14	and	and	CCONJ
brj-24693	136	15	starch	starch	NOUN
brj-24693	136	16	,	,	PUNCT
brj-24693	136	17	the	the	DET
brj-24693	136	18	r2p	r2p	NOUN
brj-24693	136	19	was	be	AUX
brj-24693	136	20	0.8318	0.8318	NUM
brj-24693	136	21	,	,	PUNCT
brj-24693	136	22	and	and	CCONJ
brj-24693	136	23	the	the	DET
brj-24693	136	24	rmsep	rmsep	NOUN
brj-24693	136	25	was	be	AUX
brj-24693	136	26	0.7550	0.7550	NUM
brj-24693	136	27	.	.	PUNCT
brj-24693	137	1	for	for	ADP
brj-24693	137	2	starch	starch	NOUN
brj-24693	137	3	,	,	PUNCT
brj-24693	137	4	the	the	DET
brj-24693	137	5	r2p	r2p	NOUN
brj-24693	137	6	was	be	AUX
brj-24693	137	7	0.7317	0.7317	NUM
brj-24693	137	8	,	,	PUNCT
brj-24693	137	9	and	and	CCONJ
brj-24693	137	10	the	the	DET
brj-24693	137	11	rmsep	rmsep	NOUN
brj-24693	137	12	was	be	AUX
brj-24693	137	13	1.5816	1.5816	NUM
brj-24693	137	14	.	.	PUNCT
brj-24693	138	1	the	the	DET
brj-24693	138	2	results	result	NOUN
brj-24693	138	3	indicate	indicate	VERB
brj-24693	138	4	that	that	SCONJ
brj-24693	138	5	,	,	PUNCT
brj-24693	138	6	compared	compare	VERB
brj-24693	138	7	to	to	ADP
brj-24693	138	8	raw	raw	ADJ
brj-24693	138	9	spectra	spectra	NOUN
brj-24693	138	10	,	,	PUNCT
brj-24693	138	11	the	the	DET
brj-24693	138	12	prediction	prediction	NOUN
brj-24693	138	13	performance	performance	NOUN
brj-24693	138	14	with	with	ADP
brj-24693	138	15	snv	snv	PROPN
brj-24693	138	16	preprocessed	preprocesse	VERB
brj-24693	138	17	spectra	spectra	NOUN
brj-24693	138	18	was	be	AUX
brj-24693	138	19	better	well	ADJ
brj-24693	138	20	,	,	PUNCT
brj-24693	138	21	exhibiting	exhibit	VERB
brj-24693	138	22	smaller	small	ADJ
brj-24693	138	23	errors	error	NOUN
brj-24693	138	24	,	,	PUNCT
brj-24693	138	25	primarily	primarily	ADV
brj-24693	138	26	due	due	ADP
brj-24693	138	27	to	to	ADP
brj-24693	138	28	the	the	DET
brj-24693	138	29	reduction	reduction	NOUN
brj-24693	138	30	of	of	ADP
brj-24693	138	31	noise	noise	NOUN
brj-24693	138	32	and	and	CCONJ
brj-24693	138	33	bias	bias	NOUN
brj-24693	138	34	.	.	PUNCT
brj-24693	139	1	this	this	PRON
brj-24693	139	2	suggests	suggest	VERB
brj-24693	139	3	that	that	SCONJ
brj-24693	139	4	snv	snv	PROPN
brj-24693	139	5	preprocessing	preprocessing	NOUN
brj-24693	139	6	reduces	reduce	VERB
brj-24693	139	7	light	light	NOUN
brj-24693	139	8	scattering	scattering	NOUN
brj-24693	139	9	and	and	CCONJ
brj-24693	139	10	non	non	ADJ
brj-24693	139	11	-	-	ADJ
brj-24693	139	12	informative	informative	ADJ
brj-24693	139	13	variations	variation	NOUN
brj-24693	139	14	,	,	PUNCT
brj-24693	139	15	allowing	allow	VERB
brj-24693	139	16	the	the	DET
brj-24693	139	17	model	model	NOUN
brj-24693	139	18	to	to	PART
brj-24693	139	19	better	well	ADV
brj-24693	139	20	capture	capture	VERB
brj-24693	139	21	key	key	ADJ
brj-24693	139	22	features	feature	NOUN
brj-24693	139	23	,	,	PUNCT
brj-24693	139	24	thus	thus	ADV
brj-24693	139	25	improving	improve	VERB
brj-24693	139	26	the	the	DET
brj-24693	139	27	prediction	prediction	NOUN
brj-24693	139	28	accuracy	accuracy	NOUN
brj-24693	139	29	of	of	ADP
brj-24693	139	30	crude	crude	ADJ
brj-24693	139	31	protein	protein	NOUN
brj-24693	139	32	and	and	CCONJ
brj-24693	139	33	starch	starch	NOUN
brj-24693	139	34	.	.	PUNCT
brj-24693	140	1	(	(	PUNCT
brj-24693	140	2	a	a	X
brj-24693	140	3	)	)	PUNCT
brj-24693	140	4	(	(	PUNCT
brj-24693	140	5	b	b	X
brj-24693	140	6	)	)	PUNCT
brj-24693	140	7	fig	fig	NOUN
brj-24693	140	8	.	.	PUNCT
brj-24693	141	1	4	4	X
brj-24693	141	2	.	.	X
brj-24693	141	3	performance	performance	NOUN
brj-24693	141	4	of	of	ADP
brj-24693	141	5	full	full	ADJ
brj-24693	141	6	wavelength	wavelength	NOUN
brj-24693	141	7	model	model	NOUN
brj-24693	141	8	based	base	VERB
brj-24693	141	9	on	on	ADP
brj-24693	141	10	different	different	ADJ
brj-24693	141	11	pre	pre	ADJ
brj-24693	141	12	-	-	ADJ
brj-24693	141	13	processing	processing	ADJ
brj-24693	141	14	methods	method	NOUN
brj-24693	141	15	.	.	PUNCT
brj-24693	142	1	(	(	PUNCT
brj-24693	142	2	a	a	X
brj-24693	142	3	)	)	PUNCT
brj-24693	142	4	crude	crude	ADJ
brj-24693	142	5	protein	protein	NOUN
brj-24693	142	6	;	;	PUNCT
brj-24693	142	7	(	(	PUNCT
brj-24693	142	8	b	b	X
brj-24693	142	9	)	)	PUNCT
brj-24693	142	10	starch	starch	NOUN
brj-24693	142	11	prediction	prediction	NOUN
brj-24693	142	12	models	model	NOUN
brj-24693	142	13	with	with	ADP
brj-24693	142	14	effective	effective	ADJ
brj-24693	142	15	wavelengths	wavelength	NOUN
brj-24693	142	16	the	the	DET
brj-24693	142	17	first	first	ADJ
brj-24693	142	18	30	30	NUM
brj-24693	142	19	important	important	ADJ
brj-24693	142	20	feature	feature	NOUN
brj-24693	142	21	wavelengths	wavelength	NOUN
brj-24693	142	22	extracted	extract	VERB
brj-24693	142	23	by	by	ADP
brj-24693	142	24	the	the	DET
brj-24693	142	25	gb	gb	NOUN
brj-24693	142	26	method	method	NOUN
brj-24693	142	27	are	be	AUX
brj-24693	142	28	shown	show	VERB
brj-24693	142	29	in	in	ADP
brj-24693	142	30	fig	fig	NOUN
brj-24693	142	31	.	.	PUNCT
brj-24693	143	1	5	5	X
brj-24693	143	2	.	.	X
brj-24693	143	3	the	the	DET
brj-24693	143	4	band	band	NOUN
brj-24693	143	5	corresponding	correspond	VERB
brj-24693	143	6	to	to	ADP
brj-24693	143	7	the	the	DET
brj-24693	143	8	wavelength	wavelength	NOUN
brj-24693	143	9	of	of	ADP
brj-24693	143	10	1556.1	1556.1	NUM
brj-24693	143	11	nm	nm	NOUN
brj-24693	143	12	in	in	ADP
brj-24693	143	13	fig	fig	NOUN
brj-24693	143	14	.	.	PUNCT
brj-24693	144	1	5a	5a	NUM
brj-24693	144	2	was	be	AUX
brj-24693	144	3	selected	select	VERB
brj-24693	144	4	as	as	ADP
brj-24693	144	5	the	the	DET
brj-24693	144	6	most	most	ADV
brj-24693	144	7	important	important	ADJ
brj-24693	144	8	feature	feature	NOUN
brj-24693	144	9	for	for	ADP
brj-24693	144	10	crude	crude	ADJ
brj-24693	144	11	protein	protein	NOUN
brj-24693	144	12	,	,	PUNCT
brj-24693	144	13	while	while	SCONJ
brj-24693	144	14	the	the	DET
brj-24693	144	15	band	band	NOUN
brj-24693	144	16	corresponding	correspond	VERB
brj-24693	144	17	to	to	ADP
brj-24693	144	18	the	the	DET
brj-24693	144	19	wavelength	wavelength	NOUN
brj-24693	144	20	of	of	ADP
brj-24693	144	21	1119.6	1119.6	NUM
brj-24693	144	22	nm	nm	NOUN
brj-24693	144	23	in	in	ADP
brj-24693	144	24	fig	fig	NOUN
brj-24693	144	25	.	.	PUNCT
brj-24693	145	1	5b	5b	NOUN
brj-24693	145	2	was	be	AUX
brj-24693	145	3	selected	select	VERB
brj-24693	145	4	as	as	ADP
brj-24693	145	5	the	the	DET
brj-24693	145	6	most	most	ADV
brj-24693	145	7	important	important	ADJ
brj-24693	145	8	feature	feature	NOUN
brj-24693	145	9	for	for	ADP
brj-24693	145	10	starch	starch	NOUN
brj-24693	145	11	.	.	PUNCT
brj-24693	146	1	figures	figure	VERB
brj-24693	146	2	5c	5c	NUM
brj-24693	146	3	and	and	CCONJ
brj-24693	146	4	5d	5d	NUM
brj-24693	146	5	show	show	VERB
brj-24693	146	6	the	the	DET
brj-24693	146	7	wavelengths	wavelength	NOUN
brj-24693	146	8	corresponding	correspond	VERB
brj-24693	146	9	to	to	ADP
brj-24693	146	10	each	each	DET
brj-24693	146	11	feature	feature	NOUN
brj-24693	146	12	in	in	ADP
brj-24693	146	13	the	the	DET
brj-24693	146	14	spectral	spectral	ADJ
brj-24693	146	15	region	region	NOUN
brj-24693	146	16	for	for	ADP
brj-24693	146	17	crude	crude	ADJ
brj-24693	146	18	protein	protein	NOUN
brj-24693	146	19	and	and	CCONJ
brj-24693	146	20	starch	starch	NOUN
brj-24693	146	21	in	in	ADP
brj-24693	146	22	pelleted	pellete	VERB
brj-24693	146	23	feeds	feed	NOUN
brj-24693	146	24	,	,	PUNCT
brj-24693	146	25	respectively	respectively	ADV
brj-24693	146	26	.	.	PUNCT
brj-24693	147	1	from	from	ADP
brj-24693	147	2	fig	fig	NOUN
brj-24693	147	3	.	.	PUNCT
brj-24693	148	1	5c	5c	NOUN
brj-24693	148	2	,	,	PUNCT
brj-24693	148	3	it	it	PRON
brj-24693	148	4	can	can	AUX
brj-24693	148	5	be	be	AUX
brj-24693	148	6	observed	observe	VERB
brj-24693	148	7	that	that	SCONJ
brj-24693	148	8	the	the	DET
brj-24693	148	9	characteristic	characteristic	ADJ
brj-24693	148	10	bands	band	NOUN
brj-24693	148	11	selected	select	VERB
brj-24693	148	12	by	by	ADP
brj-24693	148	13	crude	crude	ADJ
brj-24693	148	14	protein	protein	NOUN
brj-24693	148	15	were	be	AUX
brj-24693	148	16	primarily	primarily	ADV
brj-24693	148	17	concentrated	concentrate	VERB
brj-24693	148	18	from	from	ADP
brj-24693	148	19	1100	1100	NUM
brj-24693	148	20	to	to	ADP
brj-24693	148	21	1140	1140	NUM
brj-24693	148	22	nm	nm	NOUN
brj-24693	148	23	and	and	CCONJ
brj-24693	148	24	1450	1450	NUM
brj-24693	148	25	to	to	ADP
brj-24693	148	26	1650	1650	NUM
brj-24693	148	27	nm	nm	NOUN
brj-24693	148	28	.	.	PUNCT
brj-24693	149	1	the	the	DET
brj-24693	149	2	band	band	NOUN
brj-24693	149	3	at	at	ADP
brj-24693	149	4	1450	1450	NUM
brj-24693	149	5	to	to	ADP
brj-24693	149	6	1550	1550	NUM
brj-24693	149	7	nm	nm	NOUN
brj-24693	149	8	is	be	AUX
brj-24693	149	9	associated	associate	VERB
brj-24693	149	10	with	with	ADP
brj-24693	149	11	the	the	DET
brj-24693	149	12	n	n	CCONJ
brj-24693	149	13	-	-	PUNCT
brj-24693	149	14	h	h	NOUN
brj-24693	149	15	bending	bend	VERB
brj-24693	149	16	vibration	vibration	NOUN
brj-24693	149	17	in	in	ADP
brj-24693	149	18	the	the	DET
brj-24693	149	19	protein	protein	NOUN
brj-24693	149	20	,	,	PUNCT
brj-24693	149	21	while	while	SCONJ
brj-24693	149	22	the	the	DET
brj-24693	149	23	band	band	NOUN
brj-24693	149	24	at	at	ADP
brj-24693	149	25	1600	1600	NUM
brj-24693	149	26	to	to	ADP
brj-24693	149	27	1650	1650	NUM
brj-24693	149	28	nm	nm	NOUN
brj-24693	149	29	is	be	AUX
brj-24693	149	30	mainly	mainly	ADV
brj-24693	149	31	attributed	attribute	VERB
brj-24693	149	32	to	to	ADP
brj-24693	149	33	the	the	DET
brj-24693	149	34	c	c	PROPN
brj-24693	149	35	=	=	NOUN
brj-24693	149	36	o	o	NOUN
brj-24693	149	37	stretching	stretch	VERB
brj-24693	149	38	vibration	vibration	NOUN
brj-24693	149	39	in	in	ADP
brj-24693	149	40	the	the	DET
brj-24693	149	41	peptide	peptide	NOUN
brj-24693	149	42	bond	bond	NOUN
brj-24693	149	43	of	of	ADP
brj-24693	149	44	the	the	DET
brj-24693	149	45	protein	protein	NOUN
brj-24693	149	46	(	(	PUNCT
brj-24693	149	47	yan	yan	PROPN
brj-24693	149	48	2005	2005	NUM
brj-24693	149	49	)	)	PUNCT
brj-24693	149	50	.	.	PUNCT
brj-24693	150	1	the	the	DET
brj-24693	150	2	effective	effective	ADJ
brj-24693	150	3	wavelengths	wavelength	NOUN
brj-24693	150	4	were	be	AUX
brj-24693	150	5	extracted	extract	VERB
brj-24693	150	6	from	from	ADP
brj-24693	150	7	the	the	DET
brj-24693	150	8	crude	crude	ADJ
brj-24693	150	9	protein	protein	NOUN
brj-24693	150	10	and	and	CCONJ
brj-24693	150	11	starch	starch	NOUN
brj-24693	150	12	spectral	spectral	ADJ
brj-24693	150	13	data	datum	NOUN
brj-24693	150	14	using	use	VERB
brj-24693	150	15	the	the	DET
brj-24693	150	16	cars	car	NOUN
brj-24693	150	17	method	method	NOUN
brj-24693	150	18	,	,	PUNCT
brj-24693	150	19	with	with	ADP
brj-24693	150	20	the	the	DET
brj-24693	150	21	monte	monte	PROPN
brj-24693	150	22	carlo	carlo	PROPN
brj-24693	150	23	sample	sample	PROPN
brj-24693	150	24	size	size	NOUN
brj-24693	150	25	set	set	VERB
brj-24693	150	26	to	to	ADP
brj-24693	150	27	40	40	NUM
brj-24693	150	28	and	and	CCONJ
brj-24693	150	29	incorporating	incorporate	VERB
brj-24693	150	30	10	10	NUM
brj-24693	150	31	-	-	ADJ
brj-24693	150	32	fold	fold	ADJ
brj-24693	150	33	cross	cross	NOUN
brj-24693	150	34	-	-	NOUN
brj-24693	150	35	validation	validation	ADJ
brj-24693	150	36	.	.	PUNCT
brj-24693	151	1	figure	figure	NOUN
brj-24693	151	2	6a	6a	NOUN
brj-24693	151	3	represents	represent	VERB
brj-24693	151	4	the	the	DET
brj-24693	151	5	trend	trend	NOUN
brj-24693	151	6	of	of	ADP
brj-24693	151	7	the	the	DET
brj-24693	151	8	root	root	NOUN
brj-24693	151	9	mean	mean	VERB
brj-24693	151	10	square	square	ADJ
brj-24693	151	11	error	error	NOUN
brj-24693	151	12	peer	peer	NOUN
brj-24693	151	13	-	-	PUNCT
brj-24693	151	14	reviewed	review	VERB
brj-24693	151	15	article	article	NOUN
brj-24693	151	16	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	151	17	guo	guo	PROPN
brj-24693	151	18	et	et	PROPN
brj-24693	151	19	al	al	PROPN
brj-24693	151	20	.	.	PROPN
brj-24693	152	1	(	(	PUNCT
brj-24693	152	2	2025	2025	NUM
brj-24693	152	3	)	)	PUNCT
brj-24693	152	4	.	.	PUNCT
brj-24693	153	1	“	"	PUNCT
brj-24693	153	2	imaging	imaging	NOUN
brj-24693	153	3	of	of	ADP
brj-24693	153	4	pomace	pomace	NOUN
brj-24693	153	5	for	for	ADP
brj-24693	153	6	nutrition	nutrition	NOUN
brj-24693	153	7	,	,	PUNCT
brj-24693	153	8	”	"	PUNCT
brj-24693	153	9	bioresources	bioresource	VERB
brj-24693	153	10	20(4	20(4	NOUN
brj-24693	153	11	)	)	PUNCT
brj-24693	153	12	,	,	PUNCT
brj-24693	153	13	10249	10249	NUM
brj-24693	153	14	-	-	SYM
brj-24693	153	15	10262	10262	NUM
brj-24693	153	16	.	.	PUNCT
brj-24693	154	1	10256	10256	NUM
brj-24693	154	2	(	(	PUNCT
brj-24693	154	3	rmse	rmse	NOUN
brj-24693	154	4	)	)	PUNCT
brj-24693	154	5	as	as	ADP
brj-24693	154	6	a	a	DET
brj-24693	154	7	function	function	NOUN
brj-24693	154	8	of	of	ADP
brj-24693	154	9	the	the	DET
brj-24693	154	10	number	number	NOUN
brj-24693	154	11	of	of	ADP
brj-24693	154	12	samples	sample	NOUN
brj-24693	154	13	in	in	ADP
brj-24693	154	14	the	the	DET
brj-24693	154	15	cross	cross	NOUN
brj-24693	154	16	-	-	NOUN
brj-24693	154	17	validation	validation	ADJ
brj-24693	154	18	.	.	PUNCT
brj-24693	155	1	figure	figure	NOUN
brj-24693	155	2	6b	6b	PROPN
brj-24693	155	3	shows	show	VERB
brj-24693	155	4	the	the	DET
brj-24693	155	5	path	path	NOUN
brj-24693	155	6	of	of	ADP
brj-24693	155	7	the	the	DET
brj-24693	155	8	regression	regression	NOUN
brj-24693	155	9	coefficients	coefficient	NOUN
brj-24693	155	10	during	during	ADP
brj-24693	155	11	each	each	DET
brj-24693	155	12	sampling	sampling	NOUN
brj-24693	155	13	,	,	PUNCT
brj-24693	155	14	with	with	ADP
brj-24693	155	15	the	the	DET
brj-24693	155	16	thick	thick	ADJ
brj-24693	155	17	vertical	vertical	ADJ
brj-24693	155	18	line	line	NOUN
brj-24693	155	19	indicating	indicate	VERB
brj-24693	155	20	the	the	DET
brj-24693	155	21	minimum	minimum	ADJ
brj-24693	155	22	value	value	NOUN
brj-24693	155	23	of	of	ADP
brj-24693	155	24	rmsecv	rmsecv	NOUN
brj-24693	155	25	,	,	PUNCT
brj-24693	155	26	which	which	PRON
brj-24693	155	27	occurs	occur	VERB
brj-24693	155	28	when	when	SCONJ
brj-24693	155	29	the	the	DET
brj-24693	155	30	number	number	NOUN
brj-24693	155	31	of	of	ADP
brj-24693	155	32	sampling	sample	VERB
brj-24693	155	33	runs	run	NOUN
brj-24693	155	34	is	be	AUX
brj-24693	155	35	35	35	NUM
brj-24693	155	36	.	.	PUNCT
brj-24693	156	1	at	at	ADP
brj-24693	156	2	this	this	DET
brj-24693	156	3	point	point	NOUN
brj-24693	156	4	,	,	PUNCT
brj-24693	156	5	the	the	DET
brj-24693	156	6	information	information	NOUN
brj-24693	156	7	unrelated	unrelated	ADJ
brj-24693	156	8	to	to	ADP
brj-24693	156	9	crude	crude	ADJ
brj-24693	156	10	protein	protein	NOUN
brj-24693	156	11	is	be	AUX
brj-24693	156	12	excluded	exclude	VERB
brj-24693	156	13	,	,	PUNCT
brj-24693	156	14	and	and	CCONJ
brj-24693	156	15	a	a	DET
brj-24693	156	16	total	total	NOUN
brj-24693	156	17	of	of	ADP
brj-24693	156	18	44	44	NUM
brj-24693	156	19	feature	feature	NOUN
brj-24693	156	20	wavelengths	wavelength	NOUN
brj-24693	156	21	that	that	PRON
brj-24693	156	22	provide	provide	VERB
brj-24693	156	23	the	the	DET
brj-24693	156	24	most	most	ADV
brj-24693	156	25	relevant	relevant	ADJ
brj-24693	156	26	information	information	NOUN
brj-24693	156	27	are	be	AUX
brj-24693	156	28	selected	select	VERB
brj-24693	156	29	.	.	PUNCT
brj-24693	157	1	figure	figure	NOUN
brj-24693	157	2	6c	6c	PROPN
brj-24693	157	3	illustrates	illustrate	VERB
brj-24693	157	4	the	the	DET
brj-24693	157	5	corresponding	corresponding	ADJ
brj-24693	157	6	wavelengths	wavelength	NOUN
brj-24693	157	7	for	for	ADP
brj-24693	157	8	crude	crude	ADJ
brj-24693	157	9	protein	protein	NOUN
brj-24693	157	10	in	in	ADP
brj-24693	157	11	pellet	pellet	NOUN
brj-24693	157	12	feed	feed	NOUN
brj-24693	157	13	within	within	ADP
brj-24693	157	14	the	the	DET
brj-24693	157	15	spectral	spectral	ADJ
brj-24693	157	16	region	region	NOUN
brj-24693	157	17	.	.	PUNCT
brj-24693	158	1	the	the	DET
brj-24693	158	2	effective	effective	ADJ
brj-24693	158	3	wavelengths	wavelength	NOUN
brj-24693	158	4	of	of	ADP
brj-24693	158	5	the	the	DET
brj-24693	158	6	starch	starch	NOUN
brj-24693	158	7	content	content	NOUN
brj-24693	158	8	samples	sample	NOUN
brj-24693	158	9	,	,	PUNCT
brj-24693	158	10	extracted	extract	VERB
brj-24693	158	11	by	by	ADP
brj-24693	158	12	the	the	DET
brj-24693	158	13	cars	car	NOUN
brj-24693	158	14	method	method	NOUN
brj-24693	158	15	,	,	PUNCT
brj-24693	158	16	are	be	AUX
brj-24693	158	17	shown	show	VERB
brj-24693	158	18	in	in	ADP
brj-24693	158	19	fig	fig	NOUN
brj-24693	158	20	.	.	PUNCT
brj-24693	159	1	7	7	NUM
brj-24693	159	2	,	,	PUNCT
brj-24693	159	3	with	with	ADP
brj-24693	159	4	a	a	DET
brj-24693	159	5	total	total	NOUN
brj-24693	159	6	of	of	ADP
brj-24693	159	7	44	44	NUM
brj-24693	159	8	effective	effective	ADJ
brj-24693	159	9	wavelengths	wavelength	NOUN
brj-24693	159	10	selected	select	VERB
brj-24693	159	11	.	.	PUNCT
brj-24693	160	1	as	as	SCONJ
brj-24693	160	2	shown	show	VERB
brj-24693	160	3	in	in	ADP
brj-24693	160	4	fig	fig	NOUN
brj-24693	160	5	.	.	PUNCT
brj-24693	161	1	7c	7c	NUM
brj-24693	161	2	,	,	PUNCT
brj-24693	161	3	the	the	DET
brj-24693	161	4	characteristic	characteristic	ADJ
brj-24693	161	5	bands	band	NOUN
brj-24693	161	6	selected	select	VERB
brj-24693	161	7	for	for	ADP
brj-24693	161	8	starch	starch	NOUN
brj-24693	161	9	are	be	AUX
brj-24693	161	10	primarily	primarily	ADV
brj-24693	161	11	concentrated	concentrate	VERB
brj-24693	161	12	from	from	ADP
brj-24693	161	13	1150	1150	NUM
brj-24693	161	14	to	to	ADP
brj-24693	161	15	1200	1200	NUM
brj-24693	161	16	nm	nm	NOUN
brj-24693	161	17	and	and	CCONJ
brj-24693	161	18	1400	1400	NUM
brj-24693	161	19	to	to	ADP
brj-24693	161	20	1550	1550	NUM
brj-24693	161	21	nm	nm	NOUN
brj-24693	161	22	.	.	PUNCT
brj-24693	162	1	the	the	DET
brj-24693	162	2	band	band	NOUN
brj-24693	162	3	at	at	ADP
brj-24693	162	4	1150	1150	NUM
brj-24693	162	5	to	to	ADP
brj-24693	162	6	1200	1200	NUM
brj-24693	162	7	nm	nm	NOUN
brj-24693	162	8	is	be	AUX
brj-24693	162	9	associated	associate	VERB
brj-24693	162	10	with	with	ADP
brj-24693	162	11	the	the	DET
brj-24693	162	12	stretching	stretch	VERB
brj-24693	162	13	vibration	vibration	NOUN
brj-24693	162	14	of	of	ADP
brj-24693	162	15	the	the	DET
brj-24693	162	16	starch	starch	NOUN
brj-24693	162	17	c	c	NOUN
brj-24693	162	18	-	-	PUNCT
brj-24693	162	19	h	h	NOUN
brj-24693	162	20	bond	bond	NOUN
brj-24693	162	21	,	,	PUNCT
brj-24693	162	22	while	while	SCONJ
brj-24693	162	23	the	the	DET
brj-24693	162	24	band	band	NOUN
brj-24693	162	25	at	at	ADP
brj-24693	162	26	1450	1450	NUM
brj-24693	162	27	to	to	ADP
brj-24693	162	28	1550	1550	NUM
brj-24693	162	29	nm	nm	NOUN
brj-24693	162	30	is	be	AUX
brj-24693	162	31	mainly	mainly	ADV
brj-24693	162	32	related	relate	VERB
brj-24693	162	33	to	to	ADP
brj-24693	162	34	the	the	DET
brj-24693	162	35	-oh	-oh	NOUN
brj-24693	162	36	stretching	stretch	VERB
brj-24693	162	37	vibration	vibration	NOUN
brj-24693	162	38	(	(	PUNCT
brj-24693	162	39	yan	yan	NOUN
brj-24693	162	40	2005	2005	NUM
brj-24693	162	41	)	)	PUNCT
brj-24693	162	42	.	.	PUNCT
brj-24693	163	1	(	(	PUNCT
brj-24693	163	2	a	a	X
brj-24693	163	3	)	)	PUNCT
brj-24693	163	4	(	(	PUNCT
brj-24693	163	5	b	b	X
brj-24693	163	6	)	)	PUNCT
brj-24693	163	7	(	(	PUNCT
brj-24693	163	8	c	c	X
brj-24693	163	9	)	)	PUNCT
brj-24693	163	10	(	(	PUNCT
brj-24693	163	11	d	d	X
brj-24693	163	12	)	)	PUNCT
brj-24693	163	13	fig	fig	NOUN
brj-24693	163	14	.	.	PUNCT
brj-24693	164	1	5	5	X
brj-24693	164	2	.	.	X
brj-24693	164	3	results	result	NOUN
brj-24693	164	4	of	of	ADP
brj-24693	164	5	feature	feature	NOUN
brj-24693	164	6	wavelengths	wavelength	NOUN
brj-24693	164	7	extracted	extract	VERB
brj-24693	164	8	by	by	ADP
brj-24693	164	9	the	the	DET
brj-24693	164	10	gb	gb	PROPN
brj-24693	164	11	algorithm	algorithm	NOUN
brj-24693	164	12	.	.	PUNCT
brj-24693	165	1	(	(	PUNCT
brj-24693	165	2	a	a	X
brj-24693	165	3	)	)	PUNCT
brj-24693	165	4	top	top	ADJ
brj-24693	165	5	thirty	thirty	NUM
brj-24693	165	6	feature	feature	NOUN
brj-24693	165	7	bands	band	NOUN
brj-24693	165	8	of	of	ADP
brj-24693	165	9	crude	crude	ADJ
brj-24693	165	10	protein	protein	NOUN
brj-24693	165	11	contribution	contribution	NOUN
brj-24693	165	12	;	;	PUNCT
brj-24693	165	13	(	(	PUNCT
brj-24693	165	14	b	b	X
brj-24693	165	15	)	)	PUNCT
brj-24693	165	16	top	top	ADJ
brj-24693	165	17	thirty	thirty	NUM
brj-24693	165	18	feature	feature	NOUN
brj-24693	165	19	bands	band	NOUN
brj-24693	165	20	of	of	ADP
brj-24693	165	21	starch	starch	NOUN
brj-24693	165	22	contribution	contribution	NOUN
brj-24693	165	23	;	;	PUNCT
brj-24693	165	24	(	(	PUNCT
brj-24693	165	25	c	c	X
brj-24693	165	26	)	)	PUNCT
brj-24693	165	27	distribution	distribution	NOUN
brj-24693	165	28	of	of	ADP
brj-24693	165	29	crude	crude	ADJ
brj-24693	165	30	protein	protein	NOUN
brj-24693	165	31	effective	effective	ADJ
brj-24693	165	32	wavelengths	wavelength	NOUN
brj-24693	165	33	;	;	PUNCT
brj-24693	165	34	(	(	PUNCT
brj-24693	165	35	d	d	X
brj-24693	165	36	)	)	PUNCT
brj-24693	165	37	distribution	distribution	NOUN
brj-24693	165	38	of	of	ADP
brj-24693	165	39	starch	starch	NOUN
brj-24693	165	40	effective	effective	ADJ
brj-24693	165	41	wavelengths	wavelength	NOUN
brj-24693	165	42	1000	1000	NUM
brj-24693	165	43	1200	1200	NUM
brj-24693	165	44	1400	1400	NUM
brj-24693	165	45	1600	1600	NUM
brj-24693	165	46	0.3	0.3	NUM
brj-24693	165	47	0.4	0.4	NUM
brj-24693	165	48	0.5	0.5	NUM
brj-24693	165	49	0.6	0.6	NUM
brj-24693	165	50	protein	protein	NOUN
brj-24693	165	51	average	average	ADJ
brj-24693	165	52	curve	curve	NOUN
brj-24693	165	53	feature	feature	NOUN
brj-24693	165	54	wavelengths	wavelength	NOUN
brj-24693	165	55	wavelength(nm	wavelength(nm	NOUN
brj-24693	165	56	)	)	PUNCT
brj-24693	165	57	r	r	NOUN
brj-24693	165	58	e	e	NOUN
brj-24693	165	59	fl	fl	NOUN
brj-24693	165	60	e	e	NOUN
brj-24693	165	61	c	c	NOUN
brj-24693	165	62	ti	ti	VERB
brj-24693	165	63	o	o	NOUN
brj-24693	165	64	n	n	PROPN
brj-24693	165	65	1000	1000	NUM
brj-24693	165	66	1200	1200	NUM
brj-24693	165	67	1400	1400	NUM
brj-24693	165	68	1600	1600	NUM
brj-24693	165	69	0.3	0.3	NUM
brj-24693	165	70	0.4	0.4	NUM
brj-24693	165	71	0.5	0.5	NUM
brj-24693	165	72	0.6	0.6	NUM
brj-24693	165	73	starch	starch	NOUN
brj-24693	165	74	average	average	ADJ
brj-24693	165	75	curve	curve	NOUN
brj-24693	165	76	feature	feature	NOUN
brj-24693	165	77	wavelengths	wavelength	NOUN
brj-24693	165	78	wavelength(nm	wavelength(nm	NOUN
brj-24693	165	79	)	)	PUNCT
brj-24693	165	80	r	r	NOUN
brj-24693	165	81	e	e	NOUN
brj-24693	165	82	fl	fl	NOUN
brj-24693	165	83	e	e	NOUN
brj-24693	165	84	c	c	NOUN
brj-24693	165	85	ti	ti	VERB
brj-24693	165	86	o	o	NOUN
brj-24693	165	87	n	n	PRON
brj-24693	165	88	feature	feature	NOUN
brj-24693	165	89	importance	importance	NOUN
brj-24693	165	90	feature	feature	NOUN
brj-24693	165	91	importance	importance	NOUN
brj-24693	165	92	peer	peer	NOUN
brj-24693	165	93	-	-	PUNCT
brj-24693	165	94	reviewed	review	VERB
brj-24693	165	95	article	article	NOUN
brj-24693	165	96	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	165	97	guo	guo	PROPN
brj-24693	165	98	et	et	PROPN
brj-24693	165	99	al	al	PROPN
brj-24693	165	100	.	.	PROPN
brj-24693	165	101	(	(	PUNCT
brj-24693	165	102	2025	2025	NUM
brj-24693	165	103	)	)	PUNCT
brj-24693	165	104	.	.	PUNCT
brj-24693	166	1	“	"	PUNCT
brj-24693	166	2	imaging	imaging	NOUN
brj-24693	166	3	of	of	ADP
brj-24693	166	4	pomace	pomace	NOUN
brj-24693	166	5	for	for	ADP
brj-24693	166	6	nutrition	nutrition	NOUN
brj-24693	166	7	,	,	PUNCT
brj-24693	166	8	”	"	PUNCT
brj-24693	166	9	bioresources	bioresource	VERB
brj-24693	166	10	20(4	20(4	NOUN
brj-24693	166	11	)	)	PUNCT
brj-24693	166	12	,	,	PUNCT
brj-24693	166	13	10249	10249	NUM
brj-24693	166	14	-	-	SYM
brj-24693	166	15	10262	10262	NUM
brj-24693	166	16	.	.	PUNCT
brj-24693	167	1	10257	10257	NUM
brj-24693	167	2	(	(	PUNCT
brj-24693	167	3	a	a	NOUN
brj-24693	167	4	)	)	PUNCT
brj-24693	167	5	(	(	PUNCT
brj-24693	167	6	c	c	X
brj-24693	167	7	)	)	PUNCT
brj-24693	167	8	(	(	PUNCT
brj-24693	167	9	b	b	X
brj-24693	167	10	)	)	PUNCT
brj-24693	167	11	fig	fig	NOUN
brj-24693	167	12	.	.	PUNCT
brj-24693	168	1	6	6	NUM
brj-24693	168	2	.	.	X
brj-24693	168	3	result	result	NOUN
brj-24693	168	4	of	of	ADP
brj-24693	168	5	cars	car	NOUN
brj-24693	168	6	effective	effective	ADJ
brj-24693	168	7	band	band	NOUN
brj-24693	168	8	selection	selection	NOUN
brj-24693	168	9	for	for	ADP
brj-24693	168	10	crude	crude	ADJ
brj-24693	168	11	protein	protein	NOUN
brj-24693	168	12	.	.	PUNCT
brj-24693	169	1	different	different	ADJ
brj-24693	169	2	color	color	NOUN
brj-24693	169	3	curves	curve	NOUN
brj-24693	169	4	represent	represent	VERB
brj-24693	169	5	different	different	ADJ
brj-24693	169	6	variables	variable	NOUN
brj-24693	169	7	.	.	PUNCT
brj-24693	170	1	(	(	PUNCT
brj-24693	170	2	a	a	X
brj-24693	170	3	)	)	PUNCT
brj-24693	170	4	trend	trend	NOUN
brj-24693	170	5	of	of	ADP
brj-24693	170	6	rmsecv	rmsecv	NOUN
brj-24693	170	7	with	with	ADP
brj-24693	170	8	increasing	increase	VERB
brj-24693	170	9	sample	sample	NOUN
brj-24693	170	10	size	size	NOUN
brj-24693	170	11	;	;	PUNCT
brj-24693	170	12	(	(	PUNCT
brj-24693	170	13	b	b	X
brj-24693	170	14	)	)	PUNCT
brj-24693	170	15	trend	trend	NOUN
brj-24693	170	16	of	of	ADP
brj-24693	170	17	extracted	extract	VERB
brj-24693	170	18	variables	variable	NOUN
brj-24693	170	19	with	with	ADP
brj-24693	170	20	increasing	increase	VERB
brj-24693	170	21	sample	sample	NOUN
brj-24693	170	22	size	size	NOUN
brj-24693	170	23	;	;	PUNCT
brj-24693	170	24	(	(	PUNCT
brj-24693	170	25	c	c	X
brj-24693	170	26	)	)	PUNCT
brj-24693	170	27	distribution	distribution	NOUN
brj-24693	170	28	of	of	ADP
brj-24693	170	29	effective	effective	ADJ
brj-24693	170	30	wavelengths	wavelength	NOUN
brj-24693	170	31	table	table	NOUN
brj-24693	170	32	2	2	NUM
brj-24693	170	33	presents	present	VERB
brj-24693	170	34	the	the	DET
brj-24693	170	35	statistical	statistical	ADJ
brj-24693	170	36	results	result	NOUN
brj-24693	170	37	of	of	ADP
brj-24693	170	38	the	the	DET
brj-24693	170	39	crude	crude	ADJ
brj-24693	170	40	protein	protein	NOUN
brj-24693	170	41	and	and	CCONJ
brj-24693	170	42	starch	starch	NOUN
brj-24693	170	43	content	content	NOUN
brj-24693	170	44	predictions	prediction	NOUN
brj-24693	170	45	,	,	PUNCT
brj-24693	170	46	where	where	SCONJ
brj-24693	170	47	crude	crude	ADJ
brj-24693	170	48	protein	protein	NOUN
brj-24693	170	49	and	and	CCONJ
brj-24693	170	50	starch	starch	NOUN
brj-24693	170	51	were	be	AUX
brj-24693	170	52	predicted	predict	VERB
brj-24693	170	53	using	use	VERB
brj-24693	170	54	full	full	ADJ
brj-24693	170	55	spectral	spectral	ADJ
brj-24693	170	56	variables	variable	NOUN
brj-24693	170	57	,	,	PUNCT
brj-24693	170	58	as	as	ADV
brj-24693	170	59	well	well	ADV
brj-24693	170	60	as	as	ADP
brj-24693	170	61	spectral	spectral	ADJ
brj-24693	170	62	variables	variable	NOUN
brj-24693	170	63	selected	select	VERB
brj-24693	170	64	by	by	ADP
brj-24693	170	65	the	the	DET
brj-24693	170	66	cars	car	NOUN
brj-24693	170	67	method	method	NOUN
brj-24693	170	68	and	and	CCONJ
brj-24693	170	69	the	the	DET
brj-24693	170	70	gb	gb	NOUN
brj-24693	170	71	algorithm	algorithm	NOUN
brj-24693	170	72	,	,	PUNCT
brj-24693	170	73	respectively	respectively	ADV
brj-24693	170	74	.	.	PUNCT
brj-24693	171	1	(	(	PUNCT
brj-24693	171	2	a	a	X
brj-24693	171	3	)	)	PUNCT
brj-24693	171	4	(	(	PUNCT
brj-24693	171	5	c	c	X
brj-24693	171	6	)	)	PUNCT
brj-24693	171	7	(	(	PUNCT
brj-24693	171	8	b	b	X
brj-24693	171	9	)	)	PUNCT
brj-24693	171	10	fig	fig	NOUN
brj-24693	171	11	.	.	PUNCT
brj-24693	172	1	7	7	X
brj-24693	172	2	.	.	X
brj-24693	172	3	result	result	NOUN
brj-24693	172	4	of	of	ADP
brj-24693	172	5	cars	car	NOUN
brj-24693	172	6	effective	effective	ADJ
brj-24693	172	7	band	band	NOUN
brj-24693	172	8	selection	selection	NOUN
brj-24693	172	9	for	for	ADP
brj-24693	172	10	starch	starch	NOUN
brj-24693	172	11	.	.	PUNCT
brj-24693	173	1	different	different	ADJ
brj-24693	173	2	color	color	NOUN
brj-24693	173	3	curves	curve	NOUN
brj-24693	173	4	represent	represent	VERB
brj-24693	173	5	different	different	ADJ
brj-24693	173	6	variables	variable	NOUN
brj-24693	173	7	.	.	PUNCT
brj-24693	174	1	(	(	PUNCT
brj-24693	174	2	a	a	X
brj-24693	174	3	)	)	PUNCT
brj-24693	174	4	trend	trend	NOUN
brj-24693	174	5	of	of	ADP
brj-24693	174	6	rmsecv	rmsecv	NOUN
brj-24693	174	7	with	with	ADP
brj-24693	174	8	increasing	increase	VERB
brj-24693	174	9	sample	sample	NOUN
brj-24693	174	10	size	size	NOUN
brj-24693	174	11	;	;	PUNCT
brj-24693	174	12	(	(	PUNCT
brj-24693	174	13	b	b	X
brj-24693	174	14	)	)	PUNCT
brj-24693	174	15	trend	trend	NOUN
brj-24693	174	16	of	of	ADP
brj-24693	174	17	extracted	extract	VERB
brj-24693	174	18	variables	variable	NOUN
brj-24693	174	19	with	with	ADP
brj-24693	174	20	increasing	increase	VERB
brj-24693	174	21	sample	sample	NOUN
brj-24693	174	22	size	size	NOUN
brj-24693	174	23	;	;	PUNCT
brj-24693	174	24	(	(	PUNCT
brj-24693	174	25	c	c	X
brj-24693	174	26	)	)	PUNCT
brj-24693	174	27	distribution	distribution	NOUN
brj-24693	174	28	of	of	ADP
brj-24693	174	29	effective	effective	ADJ
brj-24693	174	30	wavelengths	wavelength	NOUN
brj-24693	174	31	for	for	ADP
brj-24693	174	32	the	the	DET
brj-24693	174	33	prediction	prediction	NOUN
brj-24693	174	34	of	of	ADP
brj-24693	174	35	crude	crude	ADJ
brj-24693	174	36	protein	protein	NOUN
brj-24693	174	37	,	,	PUNCT
brj-24693	174	38	the	the	DET
brj-24693	174	39	full	full	ADJ
brj-24693	174	40	-	-	PUNCT
brj-24693	174	41	spectrum	spectrum	NOUN
brj-24693	174	42	method	method	NOUN
brj-24693	174	43	(	(	PUNCT
brj-24693	174	44	224	224	NUM
brj-24693	174	45	bands	band	NOUN
brj-24693	174	46	)	)	PUNCT
brj-24693	174	47	demonstrated	demonstrate	VERB
brj-24693	174	48	good	good	ADJ
brj-24693	174	49	fitting	fitting	ADJ
brj-24693	174	50	performance	performance	NOUN
brj-24693	174	51	on	on	ADP
brj-24693	174	52	both	both	CCONJ
brj-24693	174	53	the	the	DET
brj-24693	174	54	calibration	calibration	NOUN
brj-24693	174	55	and	and	CCONJ
brj-24693	174	56	prediction	prediction	NOUN
brj-24693	174	57	sets	set	NOUN
brj-24693	174	58	,	,	PUNCT
brj-24693	174	59	with	with	ADP
brj-24693	174	60	an	an	DET
brj-24693	174	61	r2c	r2c	NOUN
brj-24693	174	62	of	of	ADP
brj-24693	174	63	0.8779	0.8779	NUM
brj-24693	174	64	,	,	PUNCT
brj-24693	174	65	an	an	DET
brj-24693	174	66	r2p	r2p	NOUN
brj-24693	174	67	of	of	ADP
brj-24693	174	68	0.8534	0.8534	NUM
brj-24693	174	69	,	,	PUNCT
brj-24693	174	70	and	and	CCONJ
brj-24693	174	71	rmsec	rmsec	ADJ
brj-24693	174	72	and	and	CCONJ
brj-24693	174	73	rmsep	rmsep	ADJ
brj-24693	174	74	values	value	NOUN
brj-24693	174	75	of	of	ADP
brj-24693	174	76	0.7694	0.7694	NUM
brj-24693	174	77	and	and	CCONJ
brj-24693	174	78	0.7048	0.7048	NUM
brj-24693	174	79	,	,	PUNCT
brj-24693	174	80	respectively	respectively	ADV
brj-24693	174	81	.	.	PUNCT
brj-24693	175	1	the	the	DET
brj-24693	175	2	cars	car	NOUN
brj-24693	175	3	method	method	NOUN
brj-24693	175	4	(	(	PUNCT
brj-24693	175	5	44	44	NUM
brj-24693	175	6	bands	band	NOUN
brj-24693	175	7	)	)	PUNCT
brj-24693	175	8	further	far	ADV
brj-24693	175	9	improved	improve	VERB
brj-24693	175	10	prediction	prediction	NOUN
brj-24693	175	11	performance	performance	NOUN
brj-24693	175	12	,	,	PUNCT
brj-24693	175	13	with	with	ADP
brj-24693	175	14	an	an	DET
brj-24693	175	15	r2p	r2p	NOUN
brj-24693	175	16	of	of	ADP
brj-24693	175	17	0.8812	0.8812	NUM
brj-24693	175	18	and	and	CCONJ
brj-24693	175	19	rmsep	rmsep	NOUN
brj-24693	175	20	reduced	reduce	VERB
brj-24693	175	21	to	to	ADP
brj-24693	175	22	0.5919	0.5919	NUM
brj-24693	175	23	.	.	PUNCT
brj-24693	176	1	the	the	DET
brj-24693	176	2	gb	gb	PROPN
brj-24693	176	3	method	method	NOUN
brj-24693	176	4	(	(	PUNCT
brj-24693	176	5	30	30	NUM
brj-24693	176	6	bands	band	NOUN
brj-24693	176	7	)	)	PUNCT
brj-24693	176	8	performed	perform	VERB
brj-24693	176	9	1000	1000	NUM
brj-24693	176	10	1200	1200	NUM
brj-24693	176	11	1400	1400	NUM
brj-24693	176	12	1600	1600	NUM
brj-24693	176	13	0.3	0.3	NUM
brj-24693	176	14	0.4	0.4	NUM
brj-24693	176	15	0.5	0.5	NUM
brj-24693	176	16	0.6	0.6	NUM
brj-24693	176	17	protein	protein	NOUN
brj-24693	176	18	average	average	ADJ
brj-24693	176	19	curve	curve	NOUN
brj-24693	176	20	feature	feature	NOUN
brj-24693	176	21	wavelengths	wavelength	NOUN
brj-24693	176	22	wavelength(nm	wavelength(nm	NOUN
brj-24693	176	23	)	)	PUNCT
brj-24693	176	24	r	r	NOUN
brj-24693	176	25	e	e	NOUN
brj-24693	176	26	fl	fl	NOUN
brj-24693	176	27	e	e	NOUN
brj-24693	176	28	c	c	NOUN
brj-24693	176	29	ti	ti	VERB
brj-24693	176	30	o	o	NOUN
brj-24693	176	31	n	n	PROPN
brj-24693	176	32	1000	1000	NUM
brj-24693	176	33	1200	1200	NUM
brj-24693	176	34	1400	1400	NUM
brj-24693	176	35	1600	1600	NUM
brj-24693	176	36	0.3	0.3	NUM
brj-24693	176	37	0.4	0.4	NUM
brj-24693	176	38	0.5	0.5	NUM
brj-24693	176	39	0.6	0.6	NUM
brj-24693	176	40	starch	starch	NOUN
brj-24693	176	41	average	average	ADJ
brj-24693	176	42	curve	curve	NOUN
brj-24693	176	43	feature	feature	NOUN
brj-24693	176	44	wavelengths	wavelength	NOUN
brj-24693	176	45	wavelength(nm	wavelength(nm	NOUN
brj-24693	176	46	)	)	PUNCT
brj-24693	176	47	r	r	NOUN
brj-24693	176	48	e	e	NOUN
brj-24693	176	49	fl	fl	NOUN
brj-24693	176	50	e	e	NOUN
brj-24693	176	51	c	c	NOUN
brj-24693	176	52	ti	ti	VERB
brj-24693	176	53	o	o	NOUN
brj-24693	176	54	n	n	DET
brj-24693	176	55	number	number	NOUN
brj-24693	176	56	of	of	ADP
brj-24693	176	57	sampling	sample	VERB
brj-24693	176	58	runs	run	NOUN
brj-24693	176	59	number	number	NOUN
brj-24693	176	60	of	of	ADP
brj-24693	176	61	sampling	sample	VERB
brj-24693	176	62	runs	run	NOUN
brj-24693	176	63	number	number	NOUN
brj-24693	176	64	of	of	ADP
brj-24693	176	65	sampling	sample	VERB
brj-24693	176	66	runs	run	NOUN
brj-24693	176	67	number	number	NOUN
brj-24693	176	68	of	of	ADP
brj-24693	176	69	sampling	sample	VERB
brj-24693	176	70	runs	run	NOUN
brj-24693	176	71	peer	peer	NOUN
brj-24693	176	72	-	-	PUNCT
brj-24693	176	73	reviewed	review	VERB
brj-24693	176	74	article	article	NOUN
brj-24693	176	75	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	176	76	guo	guo	PROPN
brj-24693	176	77	et	et	PROPN
brj-24693	176	78	al	al	PROPN
brj-24693	176	79	.	.	PROPN
brj-24693	177	1	(	(	PUNCT
brj-24693	177	2	2025	2025	NUM
brj-24693	177	3	)	)	PUNCT
brj-24693	177	4	.	.	PUNCT
brj-24693	178	1	“	"	PUNCT
brj-24693	178	2	imaging	imaging	NOUN
brj-24693	178	3	of	of	ADP
brj-24693	178	4	pomace	pomace	NOUN
brj-24693	178	5	for	for	ADP
brj-24693	178	6	nutrition	nutrition	NOUN
brj-24693	178	7	,	,	PUNCT
brj-24693	178	8	”	"	PUNCT
brj-24693	178	9	bioresources	bioresource	VERB
brj-24693	178	10	20(4	20(4	NOUN
brj-24693	178	11	)	)	PUNCT
brj-24693	178	12	,	,	PUNCT
brj-24693	178	13	10249	10249	NUM
brj-24693	178	14	-	-	SYM
brj-24693	178	15	10262	10262	NUM
brj-24693	178	16	.	.	PUNCT
brj-24693	179	1	10258	10258	NUM
brj-24693	179	2	the	the	DET
brj-24693	179	3	best	good	ADJ
brj-24693	179	4	,	,	PUNCT
brj-24693	179	5	with	with	ADP
brj-24693	179	6	an	an	DET
brj-24693	179	7	r2p	r2p	NOUN
brj-24693	179	8	of	of	ADP
brj-24693	179	9	0.8861	0.8861	NUM
brj-24693	179	10	and	and	CCONJ
brj-24693	179	11	a	a	DET
brj-24693	179	12	minimum	minimum	NOUN
brj-24693	179	13	rmsep	rmsep	NOUN
brj-24693	179	14	of	of	ADP
brj-24693	179	15	0.5845	0.5845	NUM
brj-24693	179	16	.	.	PUNCT
brj-24693	180	1	the	the	DET
brj-24693	180	2	above	above	ADJ
brj-24693	180	3	results	result	NOUN
brj-24693	180	4	show	show	VERB
brj-24693	180	5	that	that	SCONJ
brj-24693	180	6	the	the	DET
brj-24693	180	7	30	30	NUM
brj-24693	180	8	optimal	optimal	ADJ
brj-24693	180	9	wavelengths	wavelength	NOUN
brj-24693	180	10	selected	select	VERB
brj-24693	180	11	using	use	VERB
brj-24693	180	12	the	the	DET
brj-24693	180	13	gb	gb	NOUN
brj-24693	180	14	method	method	NOUN
brj-24693	180	15	were	be	AUX
brj-24693	180	16	information	information	NOUN
brj-24693	180	17	-	-	PUNCT
brj-24693	180	18	rich	rich	ADJ
brj-24693	180	19	and	and	CCONJ
brj-24693	180	20	suitable	suitable	ADJ
brj-24693	180	21	to	to	PART
brj-24693	180	22	effectively	effectively	ADV
brj-24693	180	23	replace	replace	VERB
brj-24693	180	24	the	the	DET
brj-24693	180	25	full	full	ADJ
brj-24693	180	26	-	-	PUNCT
brj-24693	180	27	wavelength	wavelength	NOUN
brj-24693	180	28	method	method	NOUN
brj-24693	180	29	.	.	PUNCT
brj-24693	181	1	table	table	NOUN
brj-24693	181	2	2	2	NUM
brj-24693	181	3	.	.	PUNCT
brj-24693	181	4	performance	performance	NOUN
brj-24693	181	5	of	of	ADP
brj-24693	181	6	the	the	DET
brj-24693	181	7	developed	develop	VERB
brj-24693	181	8	models	model	NOUN
brj-24693	181	9	based	base	VERB
brj-24693	181	10	on	on	ADP
brj-24693	181	11	the	the	DET
brj-24693	181	12	full	full	ADJ
brj-24693	181	13	wavelength	wavelength	NOUN
brj-24693	181	14	and	and	CCONJ
brj-24693	181	15	effective	effective	ADJ
brj-24693	181	16	wavelength	wavelength	NOUN
brj-24693	181	17	of	of	ADP
brj-24693	181	18	crude	crude	ADJ
brj-24693	181	19	protein	protein	NOUN
brj-24693	181	20	and	and	CCONJ
brj-24693	181	21	starch	starch	NOUN
brj-24693	181	22	contents	content	NOUN
brj-24693	181	23	category	category	NOUN
brj-24693	181	24	model	model	NOUN
brj-24693	181	25	no	no	PROPN
brj-24693	181	26	.	.	PROPN
brj-24693	182	1	of	of	ADP
brj-24693	182	2	variables	variable	NOUN
brj-24693	183	1	extraction	extraction	NOUN
brj-24693	183	2	method	method	NOUN
brj-24693	183	3	calibration	calibration	NOUN
brj-24693	183	4	set	set	VERB
brj-24693	183	5	prediction	prediction	NOUN
brj-24693	183	6	set	set	VERB
brj-24693	183	7	r2c	r2c	NOUN
brj-24693	183	8	rmsec	rmsec	ADJ
brj-24693	183	9	r2p	r2p	NOUN
brj-24693	183	10	rmsep	rmsep	NOUN
brj-24693	183	11	protein	protein	NOUN
brj-24693	183	12	svr	svr	VERB
brj-24693	183	13	224	224	NUM
brj-24693	183	14	full	full	ADJ
brj-24693	183	15	spectra	spectra	ADJ
brj-24693	183	16	0.8779	0.8779	NUM
brj-24693	183	17	0.7694	0.7694	NUM
brj-24693	183	18	0.8534	0.8534	NUM
brj-24693	183	19	0.7048	0.7048	NUM
brj-24693	183	20	44	44	NUM
brj-24693	183	21	cars	car	NOUN
brj-24693	183	22	0.8733	0.8733	NUM
brj-24693	183	23	0.7877	0.7877	NUM
brj-24693	183	24	0.8812	0.8812	NUM
brj-24693	183	25	0.5919	0.5919	NUM
brj-24693	183	26	30	30	NUM
brj-24693	183	27	gb	gb	ADP
brj-24693	183	28	0.9027	0.9027	NUM
brj-24693	183	29	0.6948	0.6948	NUM
brj-24693	183	30	0.8861	0.8861	NUM
brj-24693	183	31	0.5845	0.5845	NUM
brj-24693	183	32	starch	starch	NOUN
brj-24693	183	33	svr	svr	NOUN
brj-24693	183	34	224	224	NUM
brj-24693	183	35	full	full	ADJ
brj-24693	183	36	spectra	spectra	NOUN
brj-24693	183	37	0.7869	0.7869	NUM
brj-24693	183	38	1.5570	1.5570	NUM
brj-24693	183	39	0.7774	0.7774	NUM
brj-24693	183	40	1.4407	1.4407	NUM
brj-24693	183	41	44	44	NUM
brj-24693	183	42	cars	car	NOUN
brj-24693	183	43	0.7731	0.7731	NUM
brj-24693	183	44	1.6830	1.6830	NUM
brj-24693	183	45	0.7752	0.7752	NUM
brj-24693	183	46	1.4852	1.4852	NUM
brj-24693	183	47	30	30	NUM
brj-24693	183	48	gb	gb	ADP
brj-24693	183	49	0.7327	0.7327	NUM
brj-24693	183	50	1.7407	1.7407	NUM
brj-24693	183	51	0.6897	0.6897	NUM
brj-24693	183	52	1.7108	1.7108	NUM
brj-24693	183	53	for	for	ADP
brj-24693	183	54	the	the	DET
brj-24693	183	55	prediction	prediction	NOUN
brj-24693	183	56	of	of	ADP
brj-24693	183	57	starch	starch	NOUN
brj-24693	183	58	,	,	PUNCT
brj-24693	183	59	the	the	DET
brj-24693	183	60	prediction	prediction	NOUN
brj-24693	183	61	performance	performance	NOUN
brj-24693	183	62	of	of	ADP
brj-24693	183	63	all	all	DET
brj-24693	183	64	three	three	NUM
brj-24693	183	65	band	band	NOUN
brj-24693	183	66	selection	selection	NOUN
brj-24693	183	67	methods	method	NOUN
brj-24693	183	68	was	be	AUX
brj-24693	183	69	inferior	inferior	ADJ
brj-24693	183	70	to	to	ADP
brj-24693	183	71	that	that	PRON
brj-24693	183	72	of	of	ADP
brj-24693	183	73	the	the	DET
brj-24693	183	74	crude	crude	ADJ
brj-24693	183	75	protein	protein	NOUN
brj-24693	183	76	samples	sample	NOUN
brj-24693	183	77	.	.	PUNCT
brj-24693	184	1	although	although	SCONJ
brj-24693	184	2	the	the	DET
brj-24693	184	3	full	full	ADJ
brj-24693	184	4	-	-	PUNCT
brj-24693	184	5	spectrum	spectrum	NOUN
brj-24693	184	6	method	method	NOUN
brj-24693	184	7	(	(	PUNCT
brj-24693	184	8	224	224	NUM
brj-24693	184	9	bands	band	NOUN
brj-24693	184	10	)	)	PUNCT
brj-24693	184	11	demonstrated	demonstrate	VERB
brj-24693	184	12	some	some	DET
brj-24693	184	13	predictive	predictive	ADJ
brj-24693	184	14	ability	ability	NOUN
brj-24693	184	15	,	,	PUNCT
brj-24693	184	16	with	with	ADP
brj-24693	184	17	an	an	DET
brj-24693	184	18	r2c	r2c	NOUN
brj-24693	184	19	of	of	ADP
brj-24693	184	20	0.7869	0.7869	NUM
brj-24693	184	21	and	and	CCONJ
brj-24693	184	22	an	an	DET
brj-24693	184	23	r2p	r2p	NOUN
brj-24693	184	24	of	of	ADP
brj-24693	184	25	0.7774	0.7774	NUM
brj-24693	184	26	,	,	PUNCT
brj-24693	184	27	the	the	DET
brj-24693	184	28	rmsec	rmsec	NOUN
brj-24693	184	29	and	and	CCONJ
brj-24693	184	30	rmsep	rmsep	NOUN
brj-24693	184	31	were	be	AUX
brj-24693	184	32	relatively	relatively	ADV
brj-24693	184	33	large	large	ADJ
brj-24693	184	34	,	,	PUNCT
brj-24693	184	35	at	at	ADP
brj-24693	184	36	1.5570	1.5570	NUM
brj-24693	184	37	and	and	CCONJ
brj-24693	184	38	1.4407	1.4407	NUM
brj-24693	184	39	,	,	PUNCT
brj-24693	184	40	respectively	respectively	ADV
brj-24693	184	41	,	,	PUNCT
brj-24693	184	42	indicating	indicate	VERB
brj-24693	184	43	lower	low	ADJ
brj-24693	184	44	model	model	NOUN
brj-24693	184	45	fitting	fitting	ADJ
brj-24693	184	46	and	and	CCONJ
brj-24693	184	47	prediction	prediction	NOUN
brj-24693	184	48	accuracy	accuracy	NOUN
brj-24693	184	49	.	.	PUNCT
brj-24693	185	1	the	the	DET
brj-24693	185	2	prediction	prediction	NOUN
brj-24693	185	3	performance	performance	NOUN
brj-24693	185	4	of	of	ADP
brj-24693	185	5	the	the	DET
brj-24693	185	6	cars	car	NOUN
brj-24693	185	7	method	method	NOUN
brj-24693	185	8	(	(	PUNCT
brj-24693	185	9	44	44	NUM
brj-24693	185	10	bands	band	NOUN
brj-24693	185	11	)	)	PUNCT
brj-24693	185	12	after	after	SCONJ
brj-24693	185	13	feature	feature	NOUN
brj-24693	185	14	extraction	extraction	NOUN
brj-24693	185	15	was	be	AUX
brj-24693	185	16	further	far	ADV
brj-24693	185	17	degraded	degrade	VERB
brj-24693	185	18	,	,	PUNCT
brj-24693	185	19	with	with	ADP
brj-24693	185	20	an	an	DET
brj-24693	185	21	r2p	r2p	NOUN
brj-24693	185	22	of	of	ADP
brj-24693	185	23	0.7752	0.7752	NUM
brj-24693	185	24	and	and	CCONJ
brj-24693	185	25	an	an	DET
brj-24693	185	26	rmsep	rmsep	NOUN
brj-24693	185	27	of	of	ADP
brj-24693	185	28	1.4852	1.4852	NUM
brj-24693	185	29	,	,	PUNCT
brj-24693	185	30	indicating	indicate	VERB
brj-24693	185	31	a	a	DET
brj-24693	185	32	significant	significant	ADJ
brj-24693	185	33	increase	increase	NOUN
brj-24693	185	34	in	in	ADP
brj-24693	185	35	error	error	NOUN
brj-24693	185	36	.	.	PUNCT
brj-24693	186	1	the	the	DET
brj-24693	186	2	gb	gb	PROPN
brj-24693	186	3	method	method	NOUN
brj-24693	186	4	(	(	PUNCT
brj-24693	186	5	30	30	NUM
brj-24693	186	6	bands	band	NOUN
brj-24693	186	7	)	)	PUNCT
brj-24693	186	8	showed	show	VERB
brj-24693	186	9	the	the	DET
brj-24693	186	10	worst	bad	ADJ
brj-24693	186	11	prediction	prediction	NOUN
brj-24693	186	12	performance	performance	NOUN
brj-24693	186	13	after	after	ADP
brj-24693	186	14	feature	feature	NOUN
brj-24693	186	15	extraction	extraction	NOUN
brj-24693	186	16	,	,	PUNCT
brj-24693	186	17	with	with	ADP
brj-24693	186	18	an	an	DET
brj-24693	186	19	r2p	r2p	NOUN
brj-24693	186	20	of	of	ADP
brj-24693	186	21	0.6897	0.6897	NUM
brj-24693	186	22	and	and	CCONJ
brj-24693	186	23	an	an	DET
brj-24693	186	24	rmsep	rmsep	NOUN
brj-24693	186	25	of	of	ADP
brj-24693	186	26	1.7108	1.7108	NUM
brj-24693	186	27	,	,	PUNCT
brj-24693	186	28	resulting	result	VERB
brj-24693	186	29	in	in	ADP
brj-24693	186	30	the	the	DET
brj-24693	186	31	largest	large	ADJ
brj-24693	186	32	prediction	prediction	NOUN
brj-24693	186	33	error	error	NOUN
brj-24693	186	34	.	.	PUNCT
brj-24693	187	1	because	because	SCONJ
brj-24693	187	2	the	the	DET
brj-24693	187	3	prediction	prediction	NOUN
brj-24693	187	4	model	model	NOUN
brj-24693	187	5	for	for	ADP
brj-24693	187	6	starch	starch	NOUN
brj-24693	187	7	performed	perform	VERB
brj-24693	187	8	poorly	poorly	ADV
brj-24693	187	9	under	under	ADP
brj-24693	187	10	all	all	DET
brj-24693	187	11	band	band	NOUN
brj-24693	187	12	selection	selection	NOUN
brj-24693	187	13	methods	method	NOUN
brj-24693	187	14	,	,	PUNCT
brj-24693	187	15	the	the	DET
brj-24693	187	16	cars	car	NOUN
brj-24693	187	17	method	method	NOUN
brj-24693	187	18	was	be	AUX
brj-24693	187	19	selected	select	VERB
brj-24693	187	20	as	as	ADP
brj-24693	187	21	the	the	DET
brj-24693	187	22	preferred	preferred	ADJ
brj-24693	187	23	method	method	NOUN
brj-24693	187	24	for	for	ADP
brj-24693	187	25	selecting	select	VERB
brj-24693	187	26	starch	starch	NOUN
brj-24693	187	27	effective	effective	ADJ
brj-24693	187	28	wavelengths	wavelength	NOUN
brj-24693	187	29	for	for	ADP
brj-24693	187	30	subsequent	subsequent	ADJ
brj-24693	187	31	modeling	modeling	NOUN
brj-24693	187	32	,	,	PUNCT
brj-24693	187	33	based	base	VERB
brj-24693	187	34	on	on	ADP
brj-24693	187	35	a	a	DET
brj-24693	187	36	comprehensive	comprehensive	ADJ
brj-24693	187	37	assessment	assessment	NOUN
brj-24693	187	38	.	.	PUNCT
brj-24693	188	1	prediction	prediction	NOUN
brj-24693	188	2	models	model	NOUN
brj-24693	188	3	integrated	integrate	VERB
brj-24693	188	4	with	with	ADP
brj-24693	188	5	spectral	spectral	ADJ
brj-24693	188	6	and	and	CCONJ
brj-24693	188	7	textural	textural	ADJ
brj-24693	188	8	data	datum	NOUN
brj-24693	188	9	before	before	ADP
brj-24693	188	10	fusing	fuse	VERB
brj-24693	188	11	the	the	DET
brj-24693	188	12	texture	texture	ADJ
brj-24693	188	13	data	datum	NOUN
brj-24693	188	14	with	with	ADP
brj-24693	188	15	the	the	DET
brj-24693	188	16	spectral	spectral	ADJ
brj-24693	188	17	data	datum	NOUN
brj-24693	188	18	,	,	PUNCT
brj-24693	188	19	each	each	DET
brj-24693	188	20	region	region	NOUN
brj-24693	188	21	of	of	ADP
brj-24693	188	22	interest	interest	NOUN
brj-24693	188	23	(	(	PUNCT
brj-24693	188	24	roi	roi	NOUN
brj-24693	188	25	)	)	PUNCT
brj-24693	188	26	image	image	NOUN
brj-24693	188	27	was	be	AUX
brj-24693	188	28	subjected	subject	VERB
brj-24693	188	29	to	to	ADP
brj-24693	188	30	pca	pca	PROPN
brj-24693	188	31	to	to	PART
brj-24693	188	32	reduce	reduce	VERB
brj-24693	188	33	the	the	DET
brj-24693	188	34	spectral	spectral	ADJ
brj-24693	188	35	dimensions	dimension	NOUN
brj-24693	188	36	.	.	PUNCT
brj-24693	189	1	by	by	ADP
brj-24693	189	2	extracting	extract	VERB
brj-24693	189	3	the	the	DET
brj-24693	189	4	first	first	ADJ
brj-24693	189	5	three	three	NUM
brj-24693	189	6	principal	principal	ADJ
brj-24693	189	7	component	component	NOUN
brj-24693	189	8	images	image	NOUN
brj-24693	189	9	(	(	PUNCT
brj-24693	189	10	pc1	pc1	PROPN
brj-24693	189	11	,	,	PUNCT
brj-24693	189	12	pc2	pc2	NOUN
brj-24693	189	13	,	,	PUNCT
brj-24693	189	14	and	and	CCONJ
brj-24693	189	15	pc3	pc3	PROPN
brj-24693	189	16	)	)	PUNCT
brj-24693	189	17	,	,	PUNCT
brj-24693	189	18	their	their	PRON
brj-24693	189	19	cumulative	cumulative	ADJ
brj-24693	189	20	spectral	spectral	ADJ
brj-24693	189	21	variances	variance	NOUN
brj-24693	189	22	were	be	AUX
brj-24693	189	23	obtained	obtain	VERB
brj-24693	189	24	to	to	PART
brj-24693	189	25	be	be	AUX
brj-24693	189	26	95.39	95.39	NUM
brj-24693	189	27	%	%	NOUN
brj-24693	189	28	,	,	PUNCT
brj-24693	189	29	4.16	4.16	NUM
brj-24693	189	30	%	%	NOUN
brj-24693	189	31	,	,	PUNCT
brj-24693	189	32	and	and	CCONJ
brj-24693	189	33	0.21	0.21	NUM
brj-24693	189	34	%	%	NOUN
brj-24693	189	35	,	,	PUNCT
brj-24693	189	36	respectively	respectively	ADV
brj-24693	189	37	.	.	PUNCT
brj-24693	190	1	therefore	therefore	ADV
brj-24693	190	2	,	,	PUNCT
brj-24693	190	3	the	the	DET
brj-24693	190	4	pc1	pc1	PROPN
brj-24693	190	5	image	image	NOUN
brj-24693	190	6	was	be	AUX
brj-24693	190	7	selected	select	VERB
brj-24693	190	8	as	as	ADP
brj-24693	190	9	the	the	DET
brj-24693	190	10	best	good	ADJ
brj-24693	190	11	representation	representation	NOUN
brj-24693	190	12	of	of	ADP
brj-24693	190	13	the	the	DET
brj-24693	190	14	original	original	ADJ
brj-24693	190	15	sample	sample	NOUN
brj-24693	190	16	for	for	ADP
brj-24693	190	17	subsequent	subsequent	ADJ
brj-24693	190	18	texture	texture	ADJ
brj-24693	190	19	information	information	NOUN
brj-24693	190	20	extraction	extraction	NOUN
brj-24693	190	21	.	.	PUNCT
brj-24693	191	1	figure	figure	NOUN
brj-24693	191	2	8	8	NUM
brj-24693	191	3	illustrates	illustrate	VERB
brj-24693	191	4	the	the	DET
brj-24693	191	5	pearson	pearson	NOUN
brj-24693	191	6	correlation	correlation	NOUN
brj-24693	191	7	between	between	ADP
brj-24693	191	8	crude	crude	ADJ
brj-24693	191	9	protein	protein	NOUN
brj-24693	191	10	and	and	CCONJ
brj-24693	191	11	starch	starch	NOUN
brj-24693	191	12	content	content	NOUN
brj-24693	191	13	and	and	CCONJ
brj-24693	191	14	the	the	DET
brj-24693	191	15	textural	textural	ADJ
brj-24693	191	16	parameters	parameter	NOUN
brj-24693	191	17	(	(	PUNCT
brj-24693	191	18	energy	energy	NOUN
brj-24693	191	19	,	,	PUNCT
brj-24693	191	20	entropy	entropy	NOUN
brj-24693	191	21	,	,	PUNCT
brj-24693	191	22	homogeneity	homogeneity	NOUN
brj-24693	191	23	,	,	PUNCT
brj-24693	191	24	and	and	CCONJ
brj-24693	191	25	correlation	correlation	NOUN
brj-24693	191	26	)	)	PUNCT
brj-24693	191	27	.	.	PUNCT
brj-24693	192	1	from	from	ADP
brj-24693	192	2	the	the	DET
brj-24693	192	3	figure	figure	NOUN
brj-24693	192	4	,	,	PUNCT
brj-24693	192	5	it	it	PRON
brj-24693	192	6	can	can	AUX
brj-24693	192	7	be	be	AUX
brj-24693	192	8	seen	see	VERB
brj-24693	192	9	that	that	SCONJ
brj-24693	192	10	crude	crude	ADJ
brj-24693	192	11	protein	protein	NOUN
brj-24693	192	12	and	and	CCONJ
brj-24693	192	13	starch	starch	NOUN
brj-24693	192	14	content	content	NOUN
brj-24693	192	15	had	have	VERB
brj-24693	192	16	little	little	ADJ
brj-24693	192	17	correlation	correlation	NOUN
brj-24693	192	18	with	with	ADP
brj-24693	192	19	the	the	DET
brj-24693	192	20	four	four	NUM
brj-24693	192	21	texture	texture	NOUN
brj-24693	192	22	parameters	parameter	NOUN
brj-24693	192	23	.	.	PUNCT
brj-24693	193	1	among	among	ADP
brj-24693	193	2	them	they	PRON
brj-24693	193	3	,	,	PUNCT
brj-24693	193	4	entropy	entropy	PROPN
brj-24693	193	5	showed	show	VERB
brj-24693	193	6	the	the	DET
brj-24693	193	7	greatest	great	ADJ
brj-24693	193	8	correlation	correlation	NOUN
brj-24693	193	9	with	with	ADP
brj-24693	193	10	crude	crude	ADJ
brj-24693	193	11	protein	protein	NOUN
brj-24693	193	12	,	,	PUNCT
brj-24693	193	13	followed	follow	VERB
brj-24693	193	14	by	by	ADP
brj-24693	193	15	correlation	correlation	NOUN
brj-24693	193	16	.	.	PUNCT
brj-24693	194	1	starch	starch	NOUN
brj-24693	194	2	had	have	VERB
brj-24693	194	3	the	the	DET
brj-24693	194	4	greatest	great	ADJ
brj-24693	194	5	correlation	correlation	NOUN
brj-24693	194	6	with	with	ADP
brj-24693	194	7	energy	energy	NOUN
brj-24693	194	8	,	,	PUNCT
brj-24693	194	9	followed	follow	VERB
brj-24693	194	10	by	by	ADP
brj-24693	194	11	homogeneity	homogeneity	NOUN
brj-24693	194	12	.	.	PUNCT
brj-24693	195	1	because	because	SCONJ
brj-24693	195	2	the	the	DET
brj-24693	195	3	surface	surface	NOUN
brj-24693	195	4	texture	texture	NOUN
brj-24693	195	5	features	feature	NOUN
brj-24693	195	6	of	of	ADP
brj-24693	195	7	pellet	pellet	NOUN
brj-24693	195	8	feed	feed	NOUN
brj-24693	195	9	samples	sample	NOUN
brj-24693	195	10	had	have	VERB
brj-24693	195	11	little	little	ADJ
brj-24693	195	12	influence	influence	NOUN
brj-24693	195	13	on	on	ADP
brj-24693	195	14	their	their	PRON
brj-24693	195	15	crude	crude	ADJ
brj-24693	195	16	protein	protein	NOUN
brj-24693	195	17	and	and	CCONJ
brj-24693	195	18	starch	starch	NOUN
brj-24693	195	19	contents	content	NOUN
brj-24693	195	20	,	,	PUNCT
brj-24693	195	21	though	though	SCONJ
brj-24693	195	22	some	some	DET
brj-24693	195	23	correlation	correlation	NOUN
brj-24693	195	24	still	still	ADV
brj-24693	195	25	was	be	AUX
brj-24693	195	26	apparent	apparent	ADJ
brj-24693	195	27	,	,	PUNCT
brj-24693	195	28	entropy	entropy	NOUN
brj-24693	195	29	and	and	CCONJ
brj-24693	195	30	correlation	correlation	NOUN
brj-24693	195	31	were	be	AUX
brj-24693	195	32	selected	select	VERB
brj-24693	195	33	as	as	ADP
brj-24693	195	34	texture	texture	ADJ
brj-24693	195	35	features	feature	NOUN
brj-24693	195	36	for	for	ADP
brj-24693	195	37	crude	crude	ADJ
brj-24693	195	38	protein	protein	NOUN
brj-24693	195	39	.	.	PUNCT
brj-24693	196	1	meanwhile	meanwhile	ADV
brj-24693	196	2	,	,	PUNCT
brj-24693	196	3	energy	energy	NOUN
brj-24693	196	4	and	and	CCONJ
brj-24693	196	5	homogeneity	homogeneity	NOUN
brj-24693	196	6	were	be	AUX
brj-24693	196	7	chosen	choose	VERB
brj-24693	196	8	as	as	ADP
brj-24693	196	9	texture	texture	ADJ
brj-24693	196	10	features	feature	NOUN
brj-24693	196	11	for	for	ADP
brj-24693	196	12	starch	starch	NOUN
brj-24693	196	13	.	.	PUNCT
brj-24693	197	1	these	these	DET
brj-24693	197	2	features	feature	NOUN
brj-24693	197	3	were	be	AUX
brj-24693	197	4	selected	select	VERB
brj-24693	197	5	to	to	PART
brj-24693	197	6	be	be	AUX
brj-24693	197	7	applied	apply	VERB
brj-24693	197	8	to	to	ADP
brj-24693	197	9	the	the	DET
brj-24693	197	10	subsequent	subsequent	ADJ
brj-24693	197	11	fusion	fusion	NOUN
brj-24693	197	12	model	model	NOUN
brj-24693	197	13	.	.	PUNCT
brj-24693	198	1	peer	peer	NOUN
brj-24693	198	2	-	-	PUNCT
brj-24693	198	3	reviewed	review	VERB
brj-24693	198	4	article	article	NOUN
brj-24693	198	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	198	6	guo	guo	PROPN
brj-24693	198	7	et	et	PROPN
brj-24693	198	8	al	al	PROPN
brj-24693	198	9	.	.	PROPN
brj-24693	199	1	(	(	PUNCT
brj-24693	199	2	2025	2025	NUM
brj-24693	199	3	)	)	PUNCT
brj-24693	199	4	.	.	PUNCT
brj-24693	200	1	“	"	PUNCT
brj-24693	200	2	imaging	imaging	NOUN
brj-24693	200	3	of	of	ADP
brj-24693	200	4	pomace	pomace	NOUN
brj-24693	200	5	for	for	ADP
brj-24693	200	6	nutrition	nutrition	NOUN
brj-24693	200	7	,	,	PUNCT
brj-24693	200	8	”	"	PUNCT
brj-24693	200	9	bioresources	bioresource	VERB
brj-24693	200	10	20(4	20(4	NOUN
brj-24693	200	11	)	)	PUNCT
brj-24693	200	12	,	,	PUNCT
brj-24693	200	13	10249	10249	NUM
brj-24693	200	14	-	-	SYM
brj-24693	200	15	10262	10262	NUM
brj-24693	200	16	.	.	PUNCT
brj-24693	201	1	10259	10259	NUM
brj-24693	201	2	svr	svr	PROPN
brj-24693	201	3	prediction	prediction	NOUN
brj-24693	201	4	model	model	NOUN
brj-24693	201	5	based	base	VERB
brj-24693	201	6	on	on	ADP
brj-24693	201	7	extracted	extract	VERB
brj-24693	201	8	texture	texture	ADJ
brj-24693	201	9	features	feature	NOUN
brj-24693	201	10	and	and	CCONJ
brj-24693	201	11	optimal	optimal	ADJ
brj-24693	201	12	spectral	spectral	ADJ
brj-24693	201	13	data	datum	NOUN
brj-24693	201	14	table	table	NOUN
brj-24693	201	15	3	3	NUM
brj-24693	201	16	presents	present	VERB
brj-24693	201	17	the	the	DET
brj-24693	201	18	performance	performance	NOUN
brj-24693	201	19	data	datum	NOUN
brj-24693	201	20	of	of	ADP
brj-24693	201	21	the	the	DET
brj-24693	201	22	developed	develop	VERB
brj-24693	201	23	fusion	fusion	NOUN
brj-24693	201	24	model	model	NOUN
brj-24693	201	25	in	in	ADP
brj-24693	201	26	predicting	predict	VERB
brj-24693	201	27	crude	crude	ADJ
brj-24693	201	28	protein	protein	NOUN
brj-24693	201	29	and	and	CCONJ
brj-24693	201	30	starch	starch	NOUN
brj-24693	201	31	content	content	NOUN
brj-24693	201	32	,	,	PUNCT
brj-24693	201	33	showing	show	VERB
brj-24693	201	34	an	an	DET
brj-24693	201	35	improvement	improvement	NOUN
brj-24693	201	36	in	in	ADP
brj-24693	201	37	prediction	prediction	NOUN
brj-24693	201	38	accuracy	accuracy	NOUN
brj-24693	201	39	.	.	PUNCT
brj-24693	202	1	fig	fig	NOUN
brj-24693	202	2	.	.	PUNCT
brj-24693	203	1	8	8	X
brj-24693	203	2	.	.	X
brj-24693	203	3	correlation	correlation	NOUN
brj-24693	203	4	between	between	ADP
brj-24693	203	5	crude	crude	ADJ
brj-24693	203	6	protein	protein	NOUN
brj-24693	203	7	and	and	CCONJ
brj-24693	203	8	starch	starch	NOUN
brj-24693	203	9	with	with	ADP
brj-24693	203	10	texture	texture	ADJ
brj-24693	203	11	parameters	parameter	NOUN
brj-24693	203	12	extracted	extract	VERB
brj-24693	203	13	using	use	VERB
brj-24693	203	14	glcm	glcm	NOUN
brj-24693	203	15	table	table	NOUN
brj-24693	203	16	3	3	NUM
brj-24693	203	17	.	.	PUNCT
brj-24693	203	18	prediction	prediction	NOUN
brj-24693	203	19	of	of	ADP
brj-24693	203	20	crude	crude	ADJ
brj-24693	203	21	protein	protein	NOUN
brj-24693	203	22	and	and	CCONJ
brj-24693	203	23	starch	starch	NOUN
brj-24693	203	24	contents	content	NOUN
brj-24693	203	25	based	base	VERB
brj-24693	203	26	on	on	ADP
brj-24693	203	27	fused	fuse	VERB
brj-24693	203	28	data	datum	NOUN
brj-24693	203	29	category	category	NOUN
brj-24693	203	30	model	model	NOUN
brj-24693	203	31	fusion	fusion	NOUN
brj-24693	203	32	type	type	NOUN
brj-24693	203	33	calibration	calibration	NOUN
brj-24693	203	34	set	set	VERB
brj-24693	203	35	prediction	prediction	NOUN
brj-24693	203	36	set	set	VERB
brj-24693	203	37	r2c	r2c	NOUN
brj-24693	203	38	rmsec	rmsec	ADJ
brj-24693	203	39	r2p	r2p	NOUN
brj-24693	203	40	rmsep	rmsep	NOUN
brj-24693	203	41	protein	protein	NOUN
brj-24693	203	42	svr	svr	VERB
brj-24693	203	43	gb	gb	ADP
brj-24693	203	44	0.9027	0.9027	NUM
brj-24693	203	45	0.6948	0.6948	NUM
brj-24693	203	46	0.8861	0.8861	NUM
brj-24693	203	47	0.5845	0.5845	NUM
brj-24693	204	1	gb	gb	NOUN
brj-24693	204	2	-ent	-ent	NUM
brj-24693	204	3	0.8974	0.8974	NUM
brj-24693	204	4	0.7153	0.7153	NUM
brj-24693	204	5	0.8820	0.8820	NUM
brj-24693	204	6	0.5782	0.5782	NUM
brj-24693	204	7	gbcor	gbcor	NOUN
brj-24693	204	8	0.9127	0.9127	NUM
brj-24693	204	9	0.6513	0.6513	NUM
brj-24693	204	10	0.9070	0.9070	NUM
brj-24693	204	11	0.5548	0.5548	NUM
brj-24693	204	12	gb	gb	NOUN
brj-24693	204	13	-	-	PUNCT
brj-24693	204	14	cor	cor	NOUN
brj-24693	204	15	-	-	PROPN
brj-24693	204	16	ent	ent	NOUN
brj-24693	204	17	0.9048	0.9048	NUM
brj-24693	204	18	0.6879	0.6879	NUM
brj-24693	204	19	0.8169	0.8169	NUM
brj-24693	204	20	0.7296	0.7296	NUM
brj-24693	204	21	starch	starch	NOUN
brj-24693	204	22	svr	svr	NOUN
brj-24693	204	23	cars	car	VERB
brj-24693	204	24	0.7731	0.7731	NUM
brj-24693	204	25	1.6830	1.6830	NUM
brj-24693	204	26	0.7752	0.7752	NUM
brj-24693	204	27	1.4852	1.4852	NUM
brj-24693	204	28	cars	car	NOUN
brj-24693	204	29	-	-	PUNCT
brj-24693	204	30	ene	ene	NOUN
brj-24693	204	31	0.7654	0.7654	NUM
brj-24693	204	32	1.6310	1.6310	NUM
brj-24693	204	33	0.7915	0.7915	NUM
brj-24693	204	34	1.3970	1.3970	NUM
brj-24693	204	35	cars	car	NOUN
brj-24693	204	36	-	-	PUNCT
brj-24693	204	37	hom	hom	NOUN
brj-24693	204	38	0.7610	0.7610	NUM
brj-24693	204	39	1.6513	1.6513	NUM
brj-24693	204	40	0.7906	0.7906	NUM
brj-24693	204	41	1.3864	1.3864	NUM
brj-24693	204	42	cars	car	NOUN
brj-24693	204	43	-ene	-ene	NOUN
brj-24693	204	44	-	-	PUNCT
brj-24693	204	45	hom	hom	NOUN
brj-24693	204	46	0.7425	0.7425	NUM
brj-24693	204	47	1.7085	1.7085	NUM
brj-24693	204	48	0.735	0.735	NUM
brj-24693	204	49	1.5745	1.5745	NUM
brj-24693	204	50	for	for	ADP
brj-24693	204	51	crude	crude	ADJ
brj-24693	204	52	protein	protein	NOUN
brj-24693	204	53	prediction	prediction	NOUN
brj-24693	204	54	,	,	PUNCT
brj-24693	204	55	the	the	DET
brj-24693	204	56	svr	svr	PROPN
brj-24693	204	57	model	model	NOUN
brj-24693	204	58	combining	combine	VERB
brj-24693	204	59	cor	cor	PROPN
brj-24693	204	60	parameters	parameter	NOUN
brj-24693	204	61	(	(	PUNCT
brj-24693	204	62	gbcor	gbcor	NOUN
brj-24693	204	63	-	-	PUNCT
brj-24693	204	64	svr	svr	PROPN
brj-24693	204	65	)	)	PUNCT
brj-24693	204	66	outperformed	outperform	VERB
brj-24693	204	67	the	the	DET
brj-24693	204	68	svr	svr	PROPN
brj-24693	204	69	models	model	NOUN
brj-24693	204	70	using	use	VERB
brj-24693	204	71	spectral	spectral	ADJ
brj-24693	204	72	data	datum	NOUN
brj-24693	204	73	alone	alone	ADV
brj-24693	204	74	or	or	CCONJ
brj-24693	204	75	incorporating	incorporate	VERB
brj-24693	204	76	other	other	ADJ
brj-24693	204	77	texture	texture	ADJ
brj-24693	204	78	parameters	parameter	NOUN
brj-24693	204	79	.	.	PUNCT
brj-24693	205	1	specifically	specifically	ADV
brj-24693	205	2	,	,	PUNCT
brj-24693	205	3	the	the	DET
brj-24693	205	4	gb	gb	NOUN
brj-24693	205	5	-	-	PUNCT
brj-24693	205	6	cor	cor	NOUN
brj-24693	205	7	-	-	ADJ
brj-24693	205	8	svr	svr	PROPN
brj-24693	205	9	model	model	NOUN
brj-24693	205	10	achieved	achieve	VERB
brj-24693	205	11	an	an	DET
brj-24693	205	12	r2c	r2c	NOUN
brj-24693	205	13	of	of	ADP
brj-24693	205	14	0.9127	0.9127	NUM
brj-24693	205	15	,	,	PUNCT
brj-24693	205	16	an	an	DET
brj-24693	205	17	r2p	r2p	NOUN
brj-24693	205	18	of	of	ADP
brj-24693	205	19	0.9070	0.9070	NUM
brj-24693	205	20	an	an	DET
brj-24693	205	21	rmsec	rmsec	NOUN
brj-24693	205	22	of	of	ADP
brj-24693	205	23	0.6513	0.6513	NUM
brj-24693	205	24	,	,	PUNCT
brj-24693	205	25	and	and	CCONJ
brj-24693	205	26	an	an	DET
brj-24693	205	27	rmsep	rmsep	NOUN
brj-24693	205	28	of	of	ADP
brj-24693	205	29	0.5548	0.5548	NUM
brj-24693	205	30	.	.	PUNCT
brj-24693	206	1	compared	compare	VERB
brj-24693	206	2	to	to	ADP
brj-24693	206	3	the	the	DET
brj-24693	206	4	model	model	NOUN
brj-24693	206	5	built	build	VERB
brj-24693	206	6	with	with	ADP
brj-24693	206	7	the	the	DET
brj-24693	206	8	effective	effective	ADJ
brj-24693	206	9	wavelengths	wavelength	NOUN
brj-24693	206	10	,	,	PUNCT
brj-24693	206	11	the	the	DET
brj-24693	206	12	r2p	r2p	ADJ
brj-24693	206	13	value	value	NOUN
brj-24693	206	14	was	be	AUX
brj-24693	206	15	increased	increase	VERB
brj-24693	206	16	by	by	ADP
brj-24693	206	17	0.0209	0.0209	NUM
brj-24693	206	18	,	,	PUNCT
brj-24693	206	19	while	while	SCONJ
brj-24693	206	20	the	the	DET
brj-24693	206	21	rmsep	rmsep	ADJ
brj-24693	206	22	value	value	NOUN
brj-24693	206	23	decreased	decrease	VERB
brj-24693	206	24	by	by	ADP
brj-24693	206	25	0.0297	0.0297	NUM
brj-24693	206	26	.	.	PUNCT
brj-24693	207	1	for	for	ADP
brj-24693	207	2	starch	starch	NOUN
brj-24693	207	3	prediction	prediction	NOUN
brj-24693	207	4	,	,	PUNCT
brj-24693	207	5	the	the	DET
brj-24693	207	6	cars	car	NOUN
brj-24693	207	7	-	-	PUNCT
brj-24693	207	8	ene	ene	NOUN
brj-24693	207	9	-	-	PUNCT
brj-24693	207	10	svr	svr	PROPN
brj-24693	207	11	model	model	NOUN
brj-24693	207	12	performed	perform	VERB
brj-24693	207	13	the	the	DET
brj-24693	207	14	best	good	ADJ
brj-24693	207	15	,	,	PUNCT
brj-24693	207	16	outperforming	outperforming	NOUN
brj-24693	207	17	models	model	NOUN
brj-24693	207	18	that	that	PRON
brj-24693	207	19	used	use	VERB
brj-24693	207	20	spectral	spectral	ADJ
brj-24693	207	21	data	datum	NOUN
brj-24693	207	22	alone	alone	ADV
brj-24693	207	23	or	or	CCONJ
brj-24693	207	24	incorporated	incorporate	VERB
brj-24693	207	25	other	other	ADJ
brj-24693	207	26	texture	texture	ADJ
brj-24693	207	27	parameters	parameter	NOUN
brj-24693	207	28	.	.	PUNCT
brj-24693	208	1	this	this	PRON
brj-24693	208	2	was	be	AUX
brj-24693	208	3	demonstrated	demonstrate	VERB
brj-24693	208	4	by	by	ADP
brj-24693	208	5	an	an	DET
brj-24693	208	6	r2c	r2c	NOUN
brj-24693	208	7	of	of	ADP
brj-24693	208	8	0.7654	0.7654	NUM
brj-24693	208	9	,	,	PUNCT
brj-24693	208	10	r2p	r2p	NOUN
brj-24693	208	11	of	of	ADP
brj-24693	208	12	0.7915	0.7915	NUM
brj-24693	208	13	,	,	PUNCT
brj-24693	208	14	rmsec	rmsec	ADV
brj-24693	208	15	of	of	ADP
brj-24693	208	16	1.6310	1.6310	NUM
brj-24693	208	17	,	,	PUNCT
brj-24693	208	18	and	and	CCONJ
brj-24693	208	19	rmsep	rmsep	NOUN
brj-24693	208	20	of	of	ADP
brj-24693	208	21	1.3970	1.3970	NUM
brj-24693	208	22	.	.	PUNCT
brj-24693	209	1	in	in	ADP
brj-24693	209	2	summary	summary	NOUN
brj-24693	209	3	,	,	PUNCT
brj-24693	209	4	the	the	DET
brj-24693	209	5	fusion	fusion	NOUN
brj-24693	209	6	of	of	ADP
brj-24693	209	7	texture	texture	ADJ
brj-24693	209	8	parameters	parameter	NOUN
brj-24693	209	9	and	and	CCONJ
brj-24693	209	10	spectral	spectral	ADJ
brj-24693	209	11	features	feature	NOUN
brj-24693	209	12	significantly	significantly	ADV
brj-24693	209	13	improved	improve	VERB
brj-24693	209	14	the	the	DET
brj-24693	209	15	accuracy	accuracy	NOUN
brj-24693	209	16	of	of	ADP
brj-24693	209	17	predicting	predict	VERB
brj-24693	209	18	crude	crude	ADJ
brj-24693	209	19	protein	protein	NOUN
brj-24693	209	20	and	and	CCONJ
brj-24693	209	21	starch	starch	NOUN
brj-24693	209	22	contents	content	NOUN
brj-24693	209	23	,	,	PUNCT
brj-24693	209	24	with	with	ADP
brj-24693	209	25	crude	crude	ADJ
brj-24693	209	26	protein	protein	NOUN
brj-24693	209	27	predictions	prediction	NOUN
brj-24693	209	28	being	be	AUX
brj-24693	209	29	more	more	ADV
brj-24693	209	30	accurate	accurate	ADJ
brj-24693	209	31	than	than	ADP
brj-24693	209	32	starch	starch	NOUN
brj-24693	209	33	.	.	PUNCT
brj-24693	210	1	however	however	ADV
brj-24693	210	2	,	,	PUNCT
brj-24693	210	3	the	the	DET
brj-24693	210	4	model	model	NOUN
brj-24693	210	5	still	still	ADV
brj-24693	210	6	faces	face	VERB
brj-24693	210	7	challenges	challenge	NOUN
brj-24693	210	8	in	in	ADP
brj-24693	210	9	real	real	ADJ
brj-24693	210	10	-	-	PUNCT
brj-24693	210	11	world	world	NOUN
brj-24693	210	12	applications	application	NOUN
brj-24693	210	13	:	:	PUNCT
brj-24693	210	14	environmental	environmental	ADJ
brj-24693	210	15	factors	factor	NOUN
brj-24693	210	16	such	such	ADJ
brj-24693	210	17	as	as	ADP
brj-24693	210	18	light	light	ADJ
brj-24693	210	19	,	,	PUNCT
brj-24693	210	20	temperature	temperature	NOUN
brj-24693	210	21	,	,	PUNCT
brj-24693	210	22	and	and	CCONJ
brj-24693	210	23	humidity	humidity	NOUN
brj-24693	210	24	may	may	AUX
brj-24693	210	25	introduce	introduce	VERB
brj-24693	210	26	noise	noise	NOUN
brj-24693	210	27	,	,	PUNCT
brj-24693	210	28	affecting	affect	VERB
brj-24693	210	29	prediction	prediction	NOUN
brj-24693	210	30	stability	stability	NOUN
brj-24693	210	31	,	,	PUNCT
brj-24693	210	32	and	and	CCONJ
brj-24693	210	33	the	the	DET
brj-24693	210	34	model	model	NOUN
brj-24693	210	35	’s	’s	PART
brj-24693	210	36	generalizability	generalizability	NOUN
brj-24693	210	37	needs	need	VERB
brj-24693	210	38	further	further	ADJ
brj-24693	210	39	validation	validation	NOUN
brj-24693	210	40	,	,	PUNCT
brj-24693	210	41	as	as	SCONJ
brj-24693	210	42	current	current	ADJ
brj-24693	210	43	samples	sample	NOUN
brj-24693	210	44	are	be	AUX
brj-24693	210	45	mainly	mainly	ADV
brj-24693	210	46	from	from	ADP
brj-24693	210	47	specific	specific	ADJ
brj-24693	210	48	regions	region	NOUN
brj-24693	210	49	and	and	CCONJ
brj-24693	210	50	materials	material	NOUN
brj-24693	210	51	.	.	PUNCT
brj-24693	211	1	peer	peer	NOUN
brj-24693	211	2	-	-	PUNCT
brj-24693	211	3	reviewed	review	VERB
brj-24693	211	4	article	article	NOUN
brj-24693	211	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	211	6	guo	guo	PROPN
brj-24693	211	7	et	et	PROPN
brj-24693	211	8	al	al	PROPN
brj-24693	211	9	.	.	PROPN
brj-24693	212	1	(	(	PUNCT
brj-24693	212	2	2025	2025	NUM
brj-24693	212	3	)	)	PUNCT
brj-24693	212	4	.	.	PUNCT
brj-24693	213	1	“	"	PUNCT
brj-24693	213	2	imaging	imaging	NOUN
brj-24693	213	3	of	of	ADP
brj-24693	213	4	pomace	pomace	NOUN
brj-24693	213	5	for	for	ADP
brj-24693	213	6	nutrition	nutrition	NOUN
brj-24693	213	7	,	,	PUNCT
brj-24693	213	8	”	"	PUNCT
brj-24693	213	9	bioresources	bioresource	VERB
brj-24693	213	10	20(4	20(4	NOUN
brj-24693	213	11	)	)	PUNCT
brj-24693	213	12	,	,	PUNCT
brj-24693	213	13	10249	10249	NUM
brj-24693	213	14	-	-	SYM
brj-24693	213	15	10262	10262	NUM
brj-24693	213	16	.	.	PUNCT
brj-24693	214	1	10260	10260	NUM
brj-24693	214	2	future	future	ADJ
brj-24693	214	3	research	research	NOUN
brj-24693	214	4	should	should	AUX
brj-24693	214	5	focus	focus	VERB
brj-24693	214	6	on	on	ADP
brj-24693	214	7	enhancing	enhance	VERB
brj-24693	214	8	data	datum	NOUN
brj-24693	214	9	robustness	robustness	NOUN
brj-24693	214	10	,	,	PUNCT
brj-24693	214	11	optimizing	optimize	VERB
brj-24693	214	12	real	real	ADJ
brj-24693	214	13	-	-	PUNCT
brj-24693	214	14	time	time	NOUN
brj-24693	214	15	predictions	prediction	NOUN
brj-24693	214	16	,	,	PUNCT
brj-24693	214	17	and	and	CCONJ
brj-24693	214	18	expanding	expand	VERB
brj-24693	214	19	sample	sample	NOUN
brj-24693	214	20	diversity	diversity	NOUN
brj-24693	214	21	to	to	PART
brj-24693	214	22	improve	improve	VERB
brj-24693	214	23	the	the	DET
brj-24693	214	24	model	model	NOUN
brj-24693	214	25	's	's	PART
brj-24693	214	26	applicability	applicability	NOUN
brj-24693	214	27	in	in	ADP
brj-24693	214	28	broader	broad	ADJ
brj-24693	214	29	production	production	NOUN
brj-24693	214	30	scenarios	scenario	NOUN
brj-24693	214	31	.	.	PUNCT
brj-24693	215	1	conclusions	conclusion	NOUN
brj-24693	215	2	1	1	X
brj-24693	215	3	.	.	PUNCT
brj-24693	216	1	in	in	ADP
brj-24693	216	2	order	order	NOUN
brj-24693	216	3	to	to	PART
brj-24693	216	4	quickly	quickly	ADV
brj-24693	216	5	and	and	CCONJ
brj-24693	216	6	accurately	accurately	ADV
brj-24693	216	7	detect	detect	VERB
brj-24693	216	8	the	the	DET
brj-24693	216	9	crude	crude	ADJ
brj-24693	216	10	protein	protein	NOUN
brj-24693	216	11	and	and	CCONJ
brj-24693	216	12	starch	starch	NOUN
brj-24693	216	13	content	content	NOUN
brj-24693	216	14	in	in	ADP
brj-24693	216	15	alfalfapotato	alfalfapotato	NOUN
brj-24693	216	16	pomace	pomace	NOUN
brj-24693	216	17	pellets	pellet	NOUN
brj-24693	216	18	,	,	PUNCT
brj-24693	216	19	this	this	DET
brj-24693	216	20	study	study	NOUN
brj-24693	216	21	utilized	utilize	VERB
brj-24693	216	22	hyperspectral	hyperspectral	ADJ
brj-24693	216	23	imaging	imaging	NOUN
brj-24693	216	24	technology	technology	NOUN
brj-24693	216	25	to	to	PART
brj-24693	216	26	collect	collect	VERB
brj-24693	216	27	hyperspectral	hyperspectral	ADJ
brj-24693	216	28	images	image	NOUN
brj-24693	216	29	of	of	ADP
brj-24693	216	30	the	the	DET
brj-24693	216	31	particles	particle	NOUN
brj-24693	216	32	in	in	ADP
brj-24693	216	33	the	the	DET
brj-24693	216	34	900	900	NUM
brj-24693	216	35	to	to	PART
brj-24693	216	36	1700	1700	NUM
brj-24693	216	37	nm	nm	PRON
brj-24693	216	38	wavelength	wavelength	NOUN
brj-24693	216	39	range	range	NOUN
brj-24693	216	40	.	.	PUNCT
brj-24693	217	1	additionally	additionally	ADV
brj-24693	217	2	,	,	PUNCT
brj-24693	217	3	various	various	ADJ
brj-24693	217	4	spectral	spectral	ADJ
brj-24693	217	5	preprocessing	preprocessing	NOUN
brj-24693	217	6	methods	method	NOUN
brj-24693	217	7	and	and	CCONJ
brj-24693	217	8	effective	effective	ADJ
brj-24693	217	9	wavelength	wavelength	NOUN
brj-24693	217	10	selection	selection	NOUN
brj-24693	217	11	techniques	technique	NOUN
brj-24693	217	12	were	be	AUX
brj-24693	217	13	combined	combine	VERB
brj-24693	217	14	to	to	PART
brj-24693	217	15	construct	construct	VERB
brj-24693	217	16	a	a	DET
brj-24693	217	17	support	support	NOUN
brj-24693	217	18	vector	vector	NOUN
brj-24693	217	19	regression	regression	NOUN
brj-24693	217	20	(	(	PUNCT
brj-24693	217	21	svr	svr	PROPN
brj-24693	217	22	)	)	PUNCT
brj-24693	217	23	model	model	NOUN
brj-24693	217	24	.	.	PUNCT
brj-24693	218	1	the	the	DET
brj-24693	218	2	results	result	NOUN
brj-24693	218	3	demonstrated	demonstrate	VERB
brj-24693	218	4	that	that	SCONJ
brj-24693	218	5	the	the	DET
brj-24693	218	6	30	30	NUM
brj-24693	218	7	and	and	CCONJ
brj-24693	218	8	44	44	NUM
brj-24693	218	9	effective	effective	ADJ
brj-24693	218	10	wavelengths	wavelength	NOUN
brj-24693	218	11	selected	select	VERB
brj-24693	218	12	by	by	ADP
brj-24693	218	13	gradient	gradient	NOUN
brj-24693	218	14	boosting	boost	VERB
brj-24693	218	15	(	(	PUNCT
brj-24693	218	16	gb	gb	NOUN
brj-24693	218	17	)	)	PUNCT
brj-24693	218	18	and	and	CCONJ
brj-24693	218	19	competitive	competitive	ADJ
brj-24693	218	20	adaptive	adaptive	ADJ
brj-24693	218	21	reweighted	reweighte	VERB
brj-24693	218	22	sampling	sample	VERB
brj-24693	218	23	(	(	PUNCT
brj-24693	218	24	cars	car	NOUN
brj-24693	218	25	)	)	PUNCT
brj-24693	218	26	showed	show	VERB
brj-24693	218	27	good	good	ADJ
brj-24693	218	28	validity	validity	NOUN
brj-24693	218	29	for	for	ADP
brj-24693	218	30	predicting	predict	VERB
brj-24693	218	31	crude	crude	ADJ
brj-24693	218	32	protein	protein	NOUN
brj-24693	218	33	and	and	CCONJ
brj-24693	218	34	starch	starch	NOUN
brj-24693	218	35	content	content	NOUN
brj-24693	218	36	.	.	PUNCT
brj-24693	219	1	2	2	X
brj-24693	219	2	.	.	PUNCT
brj-24693	219	3	to	to	PART
brj-24693	219	4	further	far	ADV
brj-24693	219	5	improve	improve	VERB
brj-24693	219	6	prediction	prediction	NOUN
brj-24693	219	7	accuracy	accuracy	NOUN
brj-24693	219	8	,	,	PUNCT
brj-24693	219	9	this	this	DET
brj-24693	219	10	study	study	NOUN
brj-24693	219	11	incorporated	incorporate	VERB
brj-24693	219	12	texture	texture	NOUN
brj-24693	219	13	features	feature	NOUN
brj-24693	219	14	based	base	VERB
brj-24693	219	15	on	on	ADP
brj-24693	219	16	spectral	spectral	ADJ
brj-24693	219	17	data	datum	NOUN
brj-24693	219	18	.	.	PUNCT
brj-24693	220	1	texture	texture	NOUN
brj-24693	220	2	features	feature	NOUN
brj-24693	220	3	,	,	PUNCT
brj-24693	220	4	including	include	VERB
brj-24693	220	5	energy	energy	NOUN
brj-24693	220	6	,	,	PUNCT
brj-24693	220	7	entropy	entropy	NOUN
brj-24693	220	8	,	,	PUNCT
brj-24693	220	9	homogeneity	homogeneity	NOUN
brj-24693	220	10	,	,	PUNCT
brj-24693	220	11	and	and	CCONJ
brj-24693	220	12	correlation	correlation	NOUN
brj-24693	220	13	,	,	PUNCT
brj-24693	220	14	were	be	AUX
brj-24693	220	15	extracted	extract	VERB
brj-24693	220	16	using	use	VERB
brj-24693	220	17	the	the	DET
brj-24693	220	18	gray	gray	ADJ
brj-24693	220	19	-	-	PUNCT
brj-24693	220	20	level	level	NOUN
brj-24693	220	21	co	co	NOUN
brj-24693	220	22	-	-	NOUN
brj-24693	220	23	occurrence	occurrence	ADJ
brj-24693	220	24	matrix	matrix	NOUN
brj-24693	220	25	(	(	PUNCT
brj-24693	220	26	glcm	glcm	PROPN
brj-24693	220	27	)	)	PUNCT
brj-24693	220	28	.	.	PUNCT
brj-24693	221	1	the	the	DET
brj-24693	221	2	modeling	model	VERB
brj-24693	221	3	analysis	analysis	NOUN
brj-24693	221	4	of	of	ADP
brj-24693	221	5	the	the	DET
brj-24693	221	6	fused	fuse	VERB
brj-24693	221	7	mapping	mapping	NOUN
brj-24693	221	8	information	information	NOUN
brj-24693	221	9	revealed	reveal	VERB
brj-24693	221	10	that	that	SCONJ
brj-24693	221	11	the	the	DET
brj-24693	221	12	snv	snv	PROPN
brj-24693	221	13	-	-	PUNCT
brj-24693	221	14	gb	gb	NOUN
brj-24693	221	15	-	-	PUNCT
brj-24693	221	16	corsvr	corsvr	NOUN
brj-24693	221	17	fusion	fusion	NOUN
brj-24693	221	18	model	model	NOUN
brj-24693	221	19	was	be	AUX
brj-24693	221	20	the	the	DET
brj-24693	221	21	most	most	ADV
brj-24693	221	22	effective	effective	ADJ
brj-24693	221	23	for	for	ADP
brj-24693	221	24	predicting	predict	VERB
brj-24693	221	25	crude	crude	ADJ
brj-24693	221	26	protein	protein	NOUN
brj-24693	221	27	,	,	PUNCT
brj-24693	221	28	with	with	ADP
brj-24693	221	29	an	an	DET
brj-24693	221	30	r2p	r2p	NOUN
brj-24693	221	31	of	of	ADP
brj-24693	221	32	0.907	0.907	NUM
brj-24693	221	33	and	and	CCONJ
brj-24693	221	34	an	an	DET
brj-24693	221	35	rmsep	rmsep	NOUN
brj-24693	221	36	of	of	ADP
brj-24693	221	37	0.5548	0.5548	NUM
brj-24693	221	38	.	.	PUNCT
brj-24693	222	1	meanwhile	meanwhile	ADV
brj-24693	222	2	,	,	PUNCT
brj-24693	222	3	the	the	DET
brj-24693	222	4	snv	snv	NOUN
brj-24693	222	5	-	-	PUNCT
brj-24693	222	6	cars	car	NOUN
brj-24693	222	7	-	-	PUNCT
brj-24693	222	8	ent	ent	NOUN
brj-24693	222	9	-	-	PUNCT
brj-24693	222	10	svr	svr	NOUN
brj-24693	222	11	fusion	fusion	NOUN
brj-24693	222	12	model	model	NOUN
brj-24693	222	13	performed	perform	VERB
brj-24693	222	14	best	well	ADV
brj-24693	222	15	for	for	ADP
brj-24693	222	16	predicting	predict	VERB
brj-24693	222	17	starch	starch	NOUN
brj-24693	222	18	content	content	NOUN
brj-24693	222	19	,	,	PUNCT
brj-24693	222	20	with	with	ADP
brj-24693	222	21	an	an	DET
brj-24693	222	22	r2p	r2p	NOUN
brj-24693	222	23	of	of	ADP
brj-24693	222	24	0.7915	0.7915	NUM
brj-24693	222	25	and	and	CCONJ
brj-24693	222	26	an	an	DET
brj-24693	222	27	rmsep	rmsep	NOUN
brj-24693	222	28	of	of	ADP
brj-24693	222	29	1.3970	1.3970	NUM
brj-24693	222	30	.	.	PUNCT
brj-24693	223	1	acknowledgments	acknowledgment	NOUN
brj-24693	223	2	the	the	DET
brj-24693	223	3	authors	author	NOUN
brj-24693	223	4	are	be	AUX
brj-24693	223	5	grateful	grateful	ADJ
brj-24693	223	6	for	for	ADP
brj-24693	223	7	the	the	DET
brj-24693	223	8	support	support	NOUN
brj-24693	223	9	of	of	ADP
brj-24693	223	10	the	the	DET
brj-24693	223	11	national	national	ADJ
brj-24693	223	12	natural	natural	PROPN
brj-24693	223	13	science	science	PROPN
brj-24693	223	14	foundation	foundation	PROPN
brj-24693	223	15	of	of	ADP
brj-24693	223	16	china	china	PROPN
brj-24693	223	17	(	(	PUNCT
brj-24693	223	18	32360852	32360852	NUM
brj-24693	223	19	)	)	PUNCT
brj-24693	223	20	,	,	PUNCT
brj-24693	223	21	national	national	ADJ
brj-24693	223	22	natural	natural	PROPN
brj-24693	223	23	science	science	PROPN
brj-24693	223	24	foundation	foundation	PROPN
brj-24693	223	25	of	of	ADP
brj-24693	223	26	china	china	PROPN
brj-24693	223	27	(	(	PUNCT
brj-24693	223	28	31960365	31960365	NUM
brj-24693	223	29	)	)	PUNCT
brj-24693	223	30	,	,	PUNCT
brj-24693	223	31	first	first	ADJ
brj-24693	223	32	class	class	NOUN
brj-24693	223	33	disciplines	discipline	NOUN
brj-24693	223	34	research	research	VERB
brj-24693	223	35	special	special	ADJ
brj-24693	223	36	project	project	NOUN
brj-24693	223	37	(	(	PUNCT
brj-24693	223	38	ylxkzx	ylxkzx	NOUN
brj-24693	223	39	-	-	PUNCT
brj-24693	223	40	nnd-046	nnd-046	NOUN
brj-24693	223	41	)	)	PUNCT
brj-24693	223	42	,	,	PUNCT
brj-24693	223	43	and	and	CCONJ
brj-24693	223	44	innovation	innovation	NOUN
brj-24693	223	45	startup	startup	NOUN
brj-24693	223	46	support	support	NOUN
brj-24693	223	47	program	program	NOUN
brj-24693	223	48	for	for	ADP
brj-24693	223	49	overseas	overseas	ADV
brj-24693	223	50	-	-	PUNCT
brj-24693	223	51	educated	educate	VERB
brj-24693	223	52	scholars	scholar	NOUN
brj-24693	223	53	in	in	ADP
brj-24693	223	54	inner	inner	ADJ
brj-24693	223	55	mongolia	mongolia	PROPN
brj-24693	223	56	(	(	PUNCT
brj-24693	223	57	2022	2022	NUM
brj-24693	223	58	)	)	PUNCT
brj-24693	223	59	.	.	PUNCT
brj-24693	224	1	references	reference	NOUN
brj-24693	224	2	cited	cite	VERB
brj-24693	224	3	bentéjac	bentéjac	NOUN
brj-24693	224	4	,	,	PUNCT
brj-24693	224	5	c.	c.	PROPN
brj-24693	224	6	,	,	PUNCT
brj-24693	224	7	csörgő	csörgő	PROPN
brj-24693	224	8	,	,	PUNCT
brj-24693	224	9	a.	a.	NOUN
brj-24693	224	10	,	,	PUNCT
brj-24693	224	11	and	and	CCONJ
brj-24693	224	12	martínez	martínez	PROPN
brj-24693	224	13	-	-	PUNCT
brj-24693	224	14	muñoz	muñoz	PROPN
brj-24693	224	15	,	,	PUNCT
brj-24693	224	16	g.	g.	PROPN
brj-24693	224	17	(	(	PUNCT
brj-24693	224	18	2021	2021	NUM
brj-24693	224	19	)	)	PUNCT
brj-24693	224	20	.	.	PUNCT
brj-24693	225	1	“	"	PUNCT
brj-24693	225	2	a	a	DET
brj-24693	225	3	comparative	comparative	ADJ
brj-24693	225	4	analysis	analysis	NOUN
brj-24693	225	5	of	of	ADP
brj-24693	225	6	gradient	gradient	ADJ
brj-24693	225	7	boosting	boost	VERB
brj-24693	225	8	algorithms	algorithm	NOUN
brj-24693	225	9	,	,	PUNCT
brj-24693	225	10	”	"	PUNCT
brj-24693	225	11	artificial	artificial	ADJ
brj-24693	225	12	intelligence	intelligence	NOUN
brj-24693	225	13	review	review	NOUN
brj-24693	225	14	54	54	NUM
brj-24693	225	15	,	,	PUNCT
brj-24693	225	16	1937	1937	NUM
brj-24693	225	17	-	-	SYM
brj-24693	225	18	1967	1967	NUM
brj-24693	225	19	.	.	PUNCT
brj-24693	226	1	doi	doi	NOUN
brj-24693	226	2	:	:	PUNCT
brj-24693	226	3	10.1007	10.1007	NUM
brj-24693	226	4	/	/	SYM
brj-24693	226	5	s10462	s10462	NOUN
brj-24693	226	6	-	-	PUNCT
brj-24693	226	7	020	020	NUM
brj-24693	226	8	-	-	PUNCT
brj-24693	226	9	09896	09896	NUM
brj-24693	226	10	-	-	SYM
brj-24693	226	11	5	5	NUM
brj-24693	226	12	cheng	cheng	PROPN
brj-24693	226	13	,	,	PUNCT
brj-24693	226	14	w.	w.	PROPN
brj-24693	226	15	,	,	PUNCT
brj-24693	226	16	sun	sun	PROPN
brj-24693	226	17	,	,	PUNCT
brj-24693	226	18	d.	d.	PROPN
brj-24693	226	19	w.	w.	PROPN
brj-24693	226	20	,	,	PUNCT
brj-24693	226	21	pu	pu	PROPN
brj-24693	226	22	,	,	PUNCT
brj-24693	226	23	h.	h.	PROPN
brj-24693	226	24	,	,	PUNCT
brj-24693	226	25	zhang	zhang	PROPN
brj-24693	226	26	,	,	PUNCT
brj-24693	226	27	q.	q.	PROPN
brj-24693	226	28	,	,	PUNCT
brj-24693	226	29	and	and	CCONJ
brj-24693	226	30	liu	liu	PROPN
brj-24693	226	31	,	,	PUNCT
brj-24693	226	32	y.	y.	PROPN
brj-24693	226	33	(	(	PUNCT
brj-24693	226	34	2016	2016	NUM
brj-24693	226	35	)	)	PUNCT
brj-24693	226	36	.	.	PUNCT
brj-24693	227	1	“	"	PUNCT
brj-24693	227	2	integration	integration	NOUN
brj-24693	227	3	of	of	ADP
brj-24693	227	4	spectral	spectral	ADJ
brj-24693	227	5	and	and	CCONJ
brj-24693	227	6	textural	textural	ADJ
brj-24693	227	7	data	datum	NOUN
brj-24693	227	8	for	for	ADP
brj-24693	227	9	enhancing	enhance	VERB
brj-24693	227	10	hyperspectral	hyperspectral	ADJ
brj-24693	227	11	prediction	prediction	NOUN
brj-24693	227	12	of	of	ADP
brj-24693	227	13	k	k	PROPN
brj-24693	227	14	value	value	NOUN
brj-24693	227	15	in	in	ADP
brj-24693	227	16	pork	pork	NOUN
brj-24693	227	17	meat	meat	NOUN
brj-24693	227	18	,	,	PUNCT
brj-24693	227	19	”	"	PUNCT
brj-24693	227	20	lwt	lwt	NOUN
brj-24693	227	21	-	-	PUNCT
brj-24693	227	22	food	food	NOUN
brj-24693	227	23	science	science	NOUN
brj-24693	227	24	and	and	CCONJ
brj-24693	227	25	technology	technology	NOUN
brj-24693	227	26	72	72	NUM
brj-24693	227	27	,	,	PUNCT
brj-24693	227	28	322	322	NUM
brj-24693	227	29	-	-	SYM
brj-24693	227	30	329	329	NUM
brj-24693	227	31	.	.	PUNCT
brj-24693	228	1	doi	doi	NOUN
brj-24693	228	2	:	:	PUNCT
brj-24693	228	3	10.1016	10.1016	NUM
brj-24693	228	4	/	/	SYM
brj-24693	228	5	j.lwt.2016.05.003	j.lwt.2016.05.003	PROPN
brj-24693	228	6	du	du	PROPN
brj-24693	228	7	,	,	PUNCT
brj-24693	228	8	h.	h.	PROPN
brj-24693	228	9	,	,	PUNCT
brj-24693	228	10	zhang	zhang	PROPN
brj-24693	228	11	,	,	PUNCT
brj-24693	228	12	y.	y.	PROPN
brj-24693	228	13	,	,	PUNCT
brj-24693	228	14	and	and	CCONJ
brj-24693	228	15	ma	ma	PROPN
brj-24693	228	16	,	,	PUNCT
brj-24693	228	17	y.	y.	PROPN
brj-24693	228	18	(	(	PUNCT
brj-24693	228	19	2024	2024	NUM
brj-24693	228	20	)	)	PUNCT
brj-24693	228	21	.	.	PUNCT
brj-24693	229	1	“	"	PUNCT
brj-24693	229	2	rapid	rapid	ADJ
brj-24693	229	3	determination	determination	NOUN
brj-24693	229	4	of	of	ADP
brj-24693	229	5	crude	crude	ADJ
brj-24693	229	6	protein	protein	NOUN
brj-24693	229	7	content	content	NOUN
brj-24693	229	8	in	in	ADP
brj-24693	229	9	alfalfa	alfalfa	NOUN
brj-24693	229	10	based	base	VERB
brj-24693	229	11	on	on	ADP
brj-24693	229	12	fourier	fourier	NOUN
brj-24693	229	13	transform	transform	NOUN
brj-24693	229	14	infrared	infrared	ADJ
brj-24693	229	15	spectroscopy	spectroscopy	NOUN
brj-24693	229	16	,	,	PUNCT
brj-24693	229	17	”	"	PUNCT
brj-24693	229	18	foods	food	NOUN
brj-24693	229	19	13(14	13(14	NUM
brj-24693	229	20	)	)	PUNCT
brj-24693	229	21	,	,	PUNCT
brj-24693	229	22	2187	2187	NUM
brj-24693	229	23	-	-	SYM
brj-24693	229	24	2187	2187	NUM
brj-24693	229	25	.	.	PUNCT
brj-24693	230	1	doi	doi	NOUN
brj-24693	230	2	:	:	PUNCT
brj-24693	230	3	10.3390	10.3390	NUM
brj-24693	230	4	/	/	SYM
brj-24693	230	5	foods13142187	foods13142187	PROPN
brj-24693	230	6	fu	fu	NOUN
brj-24693	230	7	,	,	PUNCT
brj-24693	230	8	m.	m.	NOUN
brj-24693	230	9	,	,	PUNCT
brj-24693	230	10	liu	liu	PROPN
brj-24693	230	11	,	,	PUNCT
brj-24693	230	12	m.	m.	NOUN
brj-24693	230	13	,	,	PUNCT
brj-24693	230	14	and	and	CCONJ
brj-24693	230	15	niu	niu	PROPN
brj-24693	230	16	,	,	PUNCT
brj-24693	230	17	z.	z.	PROPN
brj-24693	230	18	(	(	PUNCT
brj-24693	230	19	2017	2017	NUM
brj-24693	230	20	)	)	PUNCT
brj-24693	230	21	.	.	PUNCT
brj-24693	231	1	“	"	PUNCT
brj-24693	231	2	inspection	inspection	NOUN
brj-24693	231	3	method	method	NOUN
brj-24693	231	4	of	of	ADP
brj-24693	231	5	feed	feed	NOUN
brj-24693	231	6	main	main	ADJ
brj-24693	231	7	nutritional	nutritional	ADJ
brj-24693	231	8	components	component	NOUN
brj-24693	231	9	by	by	ADP
brj-24693	231	10	nirs	nir	NOUN
brj-24693	231	11	and	and	CCONJ
brj-24693	231	12	hyperspectral	hyperspectral	ADJ
brj-24693	231	13	imaging	imaging	NOUN
brj-24693	231	14	,	,	PUNCT
brj-24693	231	15	”	"	PUNCT
brj-24693	231	16	journal	journal	NOUN
brj-24693	231	17	of	of	ADP
brj-24693	231	18	huazhong	huazhong	PROPN
brj-24693	231	19	agricultural	agricultural	PROPN
brj-24693	231	20	university	university	PROPN
brj-24693	231	21	36(2	36(2	NUM
brj-24693	231	22	)	)	PUNCT
brj-24693	231	23	,	,	PUNCT
brj-24693	231	24	123	123	NUM
brj-24693	231	25	-	-	SYM
brj-24693	231	26	129	129	NUM
brj-24693	231	27	.	.	PUNCT
brj-24693	232	1	peer	peer	NOUN
brj-24693	232	2	-	-	PUNCT
brj-24693	232	3	reviewed	review	VERB
brj-24693	232	4	article	article	NOUN
brj-24693	232	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	232	6	guo	guo	PROPN
brj-24693	232	7	et	et	PROPN
brj-24693	232	8	al	al	PROPN
brj-24693	232	9	.	.	PROPN
brj-24693	233	1	(	(	PUNCT
brj-24693	233	2	2025	2025	NUM
brj-24693	233	3	)	)	PUNCT
brj-24693	233	4	.	.	PUNCT
brj-24693	234	1	“	"	PUNCT
brj-24693	234	2	imaging	imaging	NOUN
brj-24693	234	3	of	of	ADP
brj-24693	234	4	pomace	pomace	NOUN
brj-24693	234	5	for	for	ADP
brj-24693	234	6	nutrition	nutrition	NOUN
brj-24693	234	7	,	,	PUNCT
brj-24693	234	8	”	"	PUNCT
brj-24693	234	9	bioresources	bioresource	VERB
brj-24693	234	10	20(4	20(4	NOUN
brj-24693	234	11	)	)	PUNCT
brj-24693	234	12	,	,	PUNCT
brj-24693	234	13	10249	10249	NUM
brj-24693	234	14	-	-	SYM
brj-24693	234	15	10262	10262	NUM
brj-24693	234	16	.	.	PUNCT
brj-24693	235	1	10261	10261	NUM
brj-24693	235	2	guo	guo	PROPN
brj-24693	235	3	,	,	PUNCT
brj-24693	235	4	w.	w.	PROPN
brj-24693	235	5	,	,	PUNCT
brj-24693	235	6	gao	gao	PROPN
brj-24693	235	7	,	,	PUNCT
brj-24693	235	8	j.	j.	PROPN
brj-24693	235	9	,	,	PUNCT
brj-24693	235	10	wang	wang	PROPN
brj-24693	235	11	,	,	PUNCT
brj-24693	235	12	h.	h.	PROPN
brj-24693	235	13	,	,	PUNCT
brj-24693	235	14	zhang	zhang	PROPN
brj-24693	235	15	,	,	PUNCT
brj-24693	235	16	w.	w.	PROPN
brj-24693	235	17	,	,	PUNCT
brj-24693	235	18	and	and	CCONJ
brj-24693	235	19	li	li	PROPN
brj-24693	235	20	,	,	PUNCT
brj-24693	235	21	y.	y.	PROPN
brj-24693	235	22	(	(	PUNCT
brj-24693	235	23	2017	2017	NUM
brj-24693	235	24	)	)	PUNCT
brj-24693	235	25	.	.	PUNCT
brj-24693	236	1	“	"	PUNCT
brj-24693	236	2	the	the	DET
brj-24693	236	3	approaches	approach	NOUN
brj-24693	236	4	of	of	ADP
brj-24693	236	5	reusing	reuse	VERB
brj-24693	236	6	potato	potato	NOUN
brj-24693	236	7	pulp	pulp	NOUN
brj-24693	236	8	and	and	CCONJ
brj-24693	236	9	its	its	PRON
brj-24693	236	10	development	development	NOUN
brj-24693	236	11	countermeasures	countermeasure	NOUN
brj-24693	236	12	,	,	PUNCT
brj-24693	236	13	”	"	PUNCT
brj-24693	236	14	food	food	NOUN
brj-24693	236	15	research	research	NOUN
brj-24693	236	16	and	and	CCONJ
brj-24693	236	17	development	development	NOUN
brj-24693	236	18	38(16	38(16	NUM
brj-24693	236	19	)	)	PUNCT
brj-24693	236	20	,	,	PUNCT
brj-24693	236	21	205	205	NUM
brj-24693	236	22	-	-	SYM
brj-24693	236	23	208	208	NUM
brj-24693	236	24	.	.	PUNCT
brj-24693	237	1	hadidi	hadidi	PROPN
brj-24693	237	2	,	,	PUNCT
brj-24693	237	3	m.	m.	NOUN
brj-24693	237	4	,	,	PUNCT
brj-24693	237	5	palacios	palacio	NOUN
brj-24693	237	6	,	,	PUNCT
brj-24693	237	7	j.	j.	PROPN
brj-24693	237	8	c.	c.	PROPN
brj-24693	237	9	o.	o.	PROPN
brj-24693	237	10	,	,	PUNCT
brj-24693	237	11	mcclements	mcclement	NOUN
brj-24693	237	12	,	,	PUNCT
brj-24693	237	13	d.	d.	PROPN
brj-24693	237	14	j.	j.	PROPN
brj-24693	237	15	,	,	PUNCT
brj-24693	237	16	figueroa	figueroa	PROPN
brj-24693	237	17	,	,	PUNCT
brj-24693	237	18	m.	m.	NOUN
brj-24693	237	19	a.	a.	PROPN
brj-24693	237	20	,	,	PUNCT
brj-24693	237	21	and	and	CCONJ
brj-24693	237	22	lopez	lopez	NOUN
brj-24693	237	23	,	,	PUNCT
brj-24693	237	24	c.	c.	NOUN
brj-24693	237	25	(	(	PUNCT
brj-24693	237	26	2023	2023	NUM
brj-24693	237	27	)	)	PUNCT
brj-24693	237	28	.	.	PUNCT
brj-24693	238	1	“	"	PUNCT
brj-24693	238	2	alfalfa	alfalfa	NOUN
brj-24693	238	3	as	as	ADP
brj-24693	238	4	a	a	DET
brj-24693	238	5	sustainable	sustainable	ADJ
brj-24693	238	6	source	source	NOUN
brj-24693	238	7	of	of	ADP
brj-24693	238	8	plant	plant	NOUN
brj-24693	238	9	-	-	PUNCT
brj-24693	238	10	based	base	VERB
brj-24693	238	11	food	food	NOUN
brj-24693	238	12	proteins	protein	NOUN
brj-24693	238	13	,	,	PUNCT
brj-24693	238	14	”	"	PUNCT
brj-24693	238	15	trends	trend	NOUN
brj-24693	238	16	in	in	ADP
brj-24693	238	17	food	food	NOUN
brj-24693	238	18	science	science	NOUN
brj-24693	238	19	&	&	CCONJ
brj-24693	238	20	technology	technology	PROPN
brj-24693	238	21	135	135	NUM
brj-24693	238	22	,	,	PUNCT
brj-24693	238	23	202	202	NUM
brj-24693	238	24	-	-	SYM
brj-24693	238	25	214	214	NUM
brj-24693	238	26	.	.	PUNCT
brj-24693	239	1	doi	doi	NOUN
brj-24693	239	2	:	:	PUNCT
brj-24693	239	3	10.1016	10.1016	NUM
brj-24693	239	4	/	/	SYM
brj-24693	239	5	j.tifs.2023.03.023	j.tifs.2023.03.023	PROPN
brj-24693	239	6	huang	huang	PROPN
brj-24693	239	7	,	,	PUNCT
brj-24693	239	8	j.	j.	PROPN
brj-24693	239	9	,	,	PUNCT
brj-24693	239	10	qian	qian	PROPN
brj-24693	239	11	,	,	PUNCT
brj-24693	239	12	m.	m.	NOUN
brj-24693	239	13	,	,	PUNCT
brj-24693	239	14	jia	jia	PROPN
brj-24693	239	15	,	,	PUNCT
brj-24693	239	16	n.	n.	PROPN
brj-24693	239	17	,	,	PUNCT
brj-24693	239	18	zhang	zhang	PROPN
brj-24693	239	19	,	,	PUNCT
brj-24693	239	20	x.	x.	PROPN
brj-24693	239	21	,	,	PUNCT
brj-24693	239	22	and	and	CCONJ
brj-24693	239	23	liu	liu	PROPN
brj-24693	239	24	,	,	PUNCT
brj-24693	239	25	y.	y.	PROPN
brj-24693	239	26	(	(	PUNCT
brj-24693	239	27	2021	2021	NUM
brj-24693	239	28	)	)	PUNCT
brj-24693	239	29	.	.	PUNCT
brj-24693	240	1	“	"	PUNCT
brj-24693	240	2	research	research	NOUN
brj-24693	240	3	progress	progress	NOUN
brj-24693	240	4	in	in	ADP
brj-24693	240	5	the	the	DET
brj-24693	240	6	determination	determination	NOUN
brj-24693	240	7	of	of	ADP
brj-24693	240	8	nutrients	nutrient	NOUN
brj-24693	240	9	in	in	ADP
brj-24693	240	10	feed	feed	NOUN
brj-24693	240	11	by	by	ADP
brj-24693	240	12	spectroscopy	spectroscopy	NOUN
brj-24693	240	13	,	,	PUNCT
brj-24693	240	14	”	"	PUNCT
brj-24693	240	15	south	south	PROPN
brj-24693	240	16	china	china	PROPN
brj-24693	240	17	agricultural	agricultural	ADJ
brj-24693	240	18	machinery	machinery	NOUN
brj-24693	240	19	52(20	52(20	NUM
brj-24693	240	20	)	)	PUNCT
brj-24693	240	21	,	,	PUNCT
brj-24693	240	22	4	4	NUM
brj-24693	240	23	-	-	SYM
brj-24693	240	24	10	10	NUM
brj-24693	240	25	.	.	PUNCT
brj-24693	241	1	jiang	jiang	PROPN
brj-24693	241	2	,	,	PUNCT
brj-24693	241	3	h.	h.	PROPN
brj-24693	241	4	z.	z.	PROPN
brj-24693	241	5	,	,	PUNCT
brj-24693	241	6	yoon	yoon	PROPN
brj-24693	241	7	,	,	PUNCT
brj-24693	241	8	s.	s.	PROPN
brj-24693	241	9	c.	c.	PROPN
brj-24693	241	10	,	,	PUNCT
brj-24693	241	11	zhuang	zhuang	PROPN
brj-24693	241	12	,	,	PUNCT
brj-24693	241	13	h.	h.	PROPN
brj-24693	241	14	,	,	PUNCT
brj-24693	241	15	wang	wang	PROPN
brj-24693	241	16	,	,	PUNCT
brj-24693	241	17	w.	w.	PROPN
brj-24693	241	18	,	,	PUNCT
brj-24693	241	19	li	li	PROPN
brj-24693	241	20	,	,	PUNCT
brj-24693	241	21	y.	y.	PROPN
brj-24693	241	22	f.	f.	PROPN
brj-24693	241	23	,	,	PUNCT
brj-24693	241	24	and	and	CCONJ
brj-24693	241	25	yang	yang	PROPN
brj-24693	241	26	,	,	PUNCT
brj-24693	241	27	y.	y.	PROPN
brj-24693	241	28	(	(	PUNCT
brj-24693	241	29	2019	2019	NUM
brj-24693	241	30	)	)	PUNCT
brj-24693	241	31	.	.	PUNCT
brj-24693	242	1	“	"	PUNCT
brj-24693	242	2	integration	integration	NOUN
brj-24693	242	3	of	of	ADP
brj-24693	242	4	spectral	spectral	ADJ
brj-24693	242	5	and	and	CCONJ
brj-24693	242	6	textural	textural	ADJ
brj-24693	242	7	features	feature	NOUN
brj-24693	242	8	of	of	ADP
brj-24693	242	9	visible	visible	ADJ
brj-24693	242	10	and	and	CCONJ
brj-24693	242	11	near	near	ADV
brj-24693	242	12	-	-	PUNCT
brj-24693	242	13	infrared	infrared	ADJ
brj-24693	242	14	hyperspectral	hyperspectral	ADJ
brj-24693	242	15	imaging	imaging	NOUN
brj-24693	242	16	for	for	ADP
brj-24693	242	17	differentiating	differentiate	VERB
brj-24693	242	18	between	between	ADP
brj-24693	242	19	normal	normal	ADJ
brj-24693	242	20	and	and	CCONJ
brj-24693	242	21	white	white	ADJ
brj-24693	242	22	striping	stripe	VERB
brj-24693	242	23	broiler	broiler	NOUN
brj-24693	242	24	breast	breast	NOUN
brj-24693	242	25	meat	meat	NOUN
brj-24693	242	26	,	,	PUNCT
brj-24693	242	27	”	"	PUNCT
brj-24693	242	28	spectrochimica	spectrochimica	NOUN
brj-24693	242	29	acta	acta	PROPN
brj-24693	242	30	part	part	NOUN
brj-24693	242	31	a	a	PRON
brj-24693	242	32	:	:	PUNCT
brj-24693	242	33	molecular	molecular	ADJ
brj-24693	242	34	&	&	CCONJ
brj-24693	242	35	biomolecular	biomolecular	ADJ
brj-24693	242	36	spectroscopy	spectroscopy	VERB
brj-24693	242	37	213	213	NUM
brj-24693	242	38	,	,	PUNCT
brj-24693	242	39	118	118	NUM
brj-24693	242	40	-	-	SYM
brj-24693	242	41	126	126	NUM
brj-24693	242	42	.	.	PUNCT
brj-24693	243	1	doi	doi	NOUN
brj-24693	243	2	:	:	PUNCT
brj-24693	243	3	10.1016	10.1016	NUM
brj-24693	243	4	/	/	SYM
brj-24693	243	5	j.saa.2019.01.052	j.saa.2019.01.052	PROPN
brj-24693	243	6	li	li	PROPN
brj-24693	243	7	,	,	PUNCT
brj-24693	243	8	h.	h.	PROPN
brj-24693	243	9	,	,	PUNCT
brj-24693	243	10	liang	liang	PROPN
brj-24693	243	11	,	,	PUNCT
brj-24693	243	12	y.	y.	PROPN
brj-24693	243	13	,	,	PUNCT
brj-24693	243	14	xu	xu	PROPN
brj-24693	243	15	,	,	PUNCT
brj-24693	243	16	q.	q.	PROPN
brj-24693	243	17	,	,	PUNCT
brj-24693	243	18	zhang	zhang	PROPN
brj-24693	243	19	,	,	PUNCT
brj-24693	243	20	j.	j.	PROPN
brj-24693	243	21	,	,	PUNCT
brj-24693	243	22	and	and	CCONJ
brj-24693	243	23	chen	chen	PROPN
brj-24693	243	24	,	,	PUNCT
brj-24693	243	25	s.	s.	PROPN
brj-24693	243	26	(	(	PUNCT
brj-24693	243	27	2009	2009	NUM
brj-24693	243	28	)	)	PUNCT
brj-24693	243	29	.	.	PUNCT
brj-24693	244	1	“	"	PUNCT
brj-24693	244	2	key	key	ADJ
brj-24693	244	3	wavelengths	wavelength	NOUN
brj-24693	244	4	screening	screen	VERB
brj-24693	244	5	using	use	VERB
brj-24693	244	6	competitive	competitive	ADJ
brj-24693	244	7	adaptive	adaptive	ADJ
brj-24693	244	8	reweighted	reweighte	VERB
brj-24693	244	9	sampling	sampling	NOUN
brj-24693	244	10	method	method	NOUN
brj-24693	244	11	for	for	ADP
brj-24693	244	12	multivariate	multivariate	NOUN
brj-24693	244	13	calibration	calibration	NOUN
brj-24693	244	14	,	,	PUNCT
brj-24693	244	15	”	"	PUNCT
brj-24693	244	16	analytica	analytica	PROPN
brj-24693	244	17	chimica	chimica	PROPN
brj-24693	244	18	acta	acta	PROPN
brj-24693	244	19	648(1	648(1	NUM
brj-24693	244	20	)	)	PUNCT
brj-24693	244	21	,	,	PUNCT
brj-24693	244	22	77	77	NUM
brj-24693	244	23	-	-	SYM
brj-24693	244	24	84	84	NUM
brj-24693	244	25	.	.	PUNCT
brj-24693	245	1	doi	doi	NOUN
brj-24693	245	2	:	:	PUNCT
brj-24693	245	3	10.1016	10.1016	NUM
brj-24693	245	4	/	/	SYM
brj-24693	245	5	j.aca.2009.06.046	j.aca.2009.06.046	PROPN
brj-24693	245	6	liu	liu	PROPN
brj-24693	245	7	,	,	PUNCT
brj-24693	245	8	d.	d.	PROPN
brj-24693	245	9	,	,	PUNCT
brj-24693	245	10	pu	pu	PROPN
brj-24693	245	11	,	,	PUNCT
brj-24693	245	12	h.	h.	PROPN
brj-24693	245	13	,	,	PUNCT
brj-24693	245	14	sun	sun	PROPN
brj-24693	245	15	,	,	PUNCT
brj-24693	245	16	d.	d.	PROPN
brj-24693	245	17	w.	w.	PROPN
brj-24693	245	18	,	,	PUNCT
brj-24693	245	19	zhang	zhang	PROPN
brj-24693	245	20	,	,	PUNCT
brj-24693	245	21	y.	y.	PROPN
brj-24693	245	22	,	,	PUNCT
brj-24693	245	23	and	and	CCONJ
brj-24693	245	24	zhao	zhao	PROPN
brj-24693	245	25	,	,	PUNCT
brj-24693	245	26	w.	w.	PROPN
brj-24693	245	27	(	(	PUNCT
brj-24693	245	28	2014	2014	NUM
brj-24693	245	29	)	)	PUNCT
brj-24693	245	30	.	.	PUNCT
brj-24693	246	1	“	"	PUNCT
brj-24693	246	2	combination	combination	NOUN
brj-24693	246	3	of	of	ADP
brj-24693	246	4	spectra	spectra	ADJ
brj-24693	246	5	and	and	CCONJ
brj-24693	246	6	texture	texture	ADJ
brj-24693	246	7	data	datum	NOUN
brj-24693	246	8	of	of	ADP
brj-24693	246	9	hyperspectral	hyperspectral	ADJ
brj-24693	246	10	imaging	imaging	NOUN
brj-24693	246	11	for	for	ADP
brj-24693	246	12	prediction	prediction	NOUN
brj-24693	246	13	of	of	ADP
brj-24693	246	14	ph	ph	NOUN
brj-24693	246	15	in	in	ADP
brj-24693	246	16	salted	salt	VERB
brj-24693	246	17	meat	meat	NOUN
brj-24693	246	18	,	,	PUNCT
brj-24693	246	19	”	"	PUNCT
brj-24693	246	20	food	food	NOUN
brj-24693	246	21	chemistry	chemistry	NOUN
brj-24693	246	22	160	160	NUM
brj-24693	246	23	,	,	PUNCT
brj-24693	246	24	330	330	NUM
brj-24693	246	25	-	-	SYM
brj-24693	246	26	337	337	NUM
brj-24693	246	27	.	.	PUNCT
brj-24693	247	1	doi	doi	NOUN
brj-24693	247	2	:	:	PUNCT
brj-24693	247	3	10.1016	10.1016	NUM
brj-24693	247	4	/	/	SYM
brj-24693	247	5	j.foodchem.2014.03.096	j.foodchem.2014.03.096	PROPN
brj-24693	247	6	moen	moen	PROPN
brj-24693	247	7	,	,	PUNCT
brj-24693	247	8	j.	j.	PROPN
brj-24693	247	9	e.	e.	PROPN
brj-24693	247	10	,	,	PUNCT
brj-24693	247	11	nilsen	nilsen	PROPN
brj-24693	247	12	,	,	PUNCT
brj-24693	247	13	v.	v.	PROPN
brj-24693	247	14	,	,	PUNCT
brj-24693	247	15	saidi	saidi	PROPN
brj-24693	247	16	,	,	PUNCT
brj-24693	247	17	k.	k.	PROPN
brj-24693	247	18	b.	b.	PROPN
brj-24693	247	19	,	,	PUNCT
brj-24693	247	20	kohmann	kohmann	PROPN
brj-24693	247	21	,	,	PUNCT
brj-24693	247	22	e.	e.	PROPN
brj-24693	247	23	,	,	PUNCT
brj-24693	247	24	devassy	devassy	PROPN
brj-24693	247	25	,	,	PUNCT
brj-24693	247	26	b.	b.	PROPN
brj-24693	247	27	m.	m.	PROPN
brj-24693	247	28	,	,	PUNCT
brj-24693	247	29	and	and	CCONJ
brj-24693	247	30	george	george	PROPN
brj-24693	247	31	,	,	PUNCT
brj-24693	247	32	s.	s.	PROPN
brj-24693	247	33	(	(	PUNCT
brj-24693	247	34	2021	2021	NUM
brj-24693	247	35	)	)	PUNCT
brj-24693	247	36	.	.	PUNCT
brj-24693	248	1	“	"	PUNCT
brj-24693	248	2	hyperspectral	hyperspectral	ADJ
brj-24693	248	3	imaging	imaging	NOUN
brj-24693	248	4	and	and	CCONJ
brj-24693	248	5	machine	machine	NOUN
brj-24693	248	6	learning	learning	NOUN
brj-24693	248	7	for	for	ADP
brj-24693	248	8	the	the	DET
brj-24693	248	9	prediction	prediction	NOUN
brj-24693	248	10	of	of	ADP
brj-24693	248	11	ssc	ssc	NOUN
brj-24693	248	12	in	in	ADP
brj-24693	248	13	kiwi	kiwi	NOUN
brj-24693	248	14	fruits	fruit	NOUN
brj-24693	248	15	,	,	PUNCT
brj-24693	248	16	”	"	PUNCT
brj-24693	248	17	norsk	norsk	PROPN
brj-24693	248	18	ikt	ikt	PROPN
brj-24693	248	19	-	-	PUNCT
brj-24693	248	20	konferanse	konferanse	NOUN
brj-24693	248	21	for	for	ADP
brj-24693	248	22	forskning	forskne	VERB
brj-24693	248	23	og	og	PROPN
brj-24693	248	24	utdanning	utdanne	VERB
brj-24693	248	25	1	1	NUM
brj-24693	248	26	,	,	PUNCT
brj-24693	248	27	86	86	NUM
brj-24693	248	28	-	-	SYM
brj-24693	248	29	98	98	NUM
brj-24693	248	30	.	.	PUNCT
brj-24693	248	31	rocha	rocha	PROPN
brj-24693	248	32	,	,	PUNCT
brj-24693	248	33	g.	g.	PROPN
brj-24693	248	34	c.	c.	PROPN
brj-24693	248	35	,	,	PUNCT
brj-24693	248	36	duarte	duarte	PROPN
brj-24693	248	37	,	,	PUNCT
brj-24693	248	38	m.	m.	PROPN
brj-24693	248	39	e.	e.	PROPN
brj-24693	248	40	,	,	PUNCT
brj-24693	248	41	kim	kim	PROPN
brj-24693	248	42	,	,	PUNCT
brj-24693	248	43	s.	s.	PROPN
brj-24693	248	44	w.	w.	PROPN
brj-24693	248	45	,	,	PUNCT
brj-24693	248	46	and	and	CCONJ
brj-24693	248	47	silva	silva	PROPN
brj-24693	248	48	,	,	PUNCT
brj-24693	248	49	l.	l.	PROPN
brj-24693	248	50	(	(	PUNCT
brj-24693	248	51	2022	2022	NUM
brj-24693	248	52	)	)	PUNCT
brj-24693	248	53	.	.	PUNCT
brj-24693	249	1	“	"	PUNCT
brj-24693	249	2	advances	advance	NOUN
brj-24693	249	3	,	,	PUNCT
brj-24693	249	4	implications	implication	NOUN
brj-24693	249	5	,	,	PUNCT
brj-24693	249	6	and	and	CCONJ
brj-24693	249	7	limitations	limitation	NOUN
brj-24693	249	8	of	of	ADP
brj-24693	249	9	low	low	ADJ
brj-24693	249	10	-	-	PUNCT
brj-24693	249	11	crude	crude	NOUN
brj-24693	249	12	-	-	PUNCT
brj-24693	249	13	protein	protein	NOUN
brj-24693	249	14	diets	diet	NOUN
brj-24693	249	15	in	in	ADP
brj-24693	249	16	pig	pig	NOUN
brj-24693	249	17	production	production	NOUN
brj-24693	249	18	,	,	PUNCT
brj-24693	249	19	”	"	PUNCT
brj-24693	249	20	animals	animal	NOUN
brj-24693	249	21	12(24	12(24	NUM
brj-24693	249	22	)	)	PUNCT
brj-24693	249	23	,	,	PUNCT
brj-24693	249	24	article	article	NOUN
brj-24693	249	25	3478	3478	NUM
brj-24693	249	26	.	.	PUNCT
brj-24693	250	1	doi	doi	NOUN
brj-24693	250	2	:	:	PUNCT
brj-24693	250	3	10.3390	10.3390	NUM
brj-24693	250	4	/	/	SYM
brj-24693	250	5	ani12243478	ani12243478	ADJ
brj-24693	250	6	rukundo	rukundo	NOUN
brj-24693	250	7	,	,	PUNCT
brj-24693	250	8	i.	i.	PROPN
brj-24693	250	9	r.	r.	PROPN
brj-24693	250	10	,	,	PUNCT
brj-24693	250	11	danao	danao	PROPN
brj-24693	250	12	,	,	PUNCT
brj-24693	250	13	m	m	PROPN
brj-24693	250	14	-	-	PROPN
brj-24693	250	15	g.	g.	PROPN
brj-24693	250	16	c.	c.	PROPN
brj-24693	250	17	,	,	PUNCT
brj-24693	250	18	macdonald	macdonald	PROPN
brj-24693	250	19	,	,	PUNCT
brj-24693	250	20	j.	j.	PROPN
brj-24693	250	21	c.	c.	PROPN
brj-24693	250	22	,	,	PUNCT
brj-24693	250	23	wehling	wehling	NOUN
brj-24693	250	24	,	,	PUNCT
brj-24693	250	25	r.	r.	PROPN
brj-24693	250	26	l.	l.	PROPN
brj-24693	250	27	,	,	PUNCT
brj-24693	250	28	and	and	CCONJ
brj-24693	250	29	weller	weller	NOUN
brj-24693	250	30	,	,	PUNCT
brj-24693	250	31	c.	c.	PROPN
brj-24693	250	32	l.	l.	PROPN
brj-24693	250	33	(	(	PUNCT
brj-24693	250	34	2021	2021	NUM
brj-24693	250	35	)	)	PUNCT
brj-24693	250	36	.	.	PUNCT
brj-24693	251	1	“	"	PUNCT
brj-24693	251	2	performance	performance	NOUN
brj-24693	251	3	of	of	ADP
brj-24693	251	4	two	two	NUM
brj-24693	251	5	handheld	handheld	ADJ
brj-24693	251	6	nir	nir	ADJ
brj-24693	251	7	spectrometers	spectrometer	NOUN
brj-24693	251	8	to	to	PART
brj-24693	251	9	quantify	quantify	VERB
brj-24693	251	10	crude	crude	ADJ
brj-24693	251	11	protein	protein	NOUN
brj-24693	251	12	of	of	ADP
brj-24693	251	13	composite	composite	ADJ
brj-24693	251	14	animal	animal	NOUN
brj-24693	251	15	forage	forage	NOUN
brj-24693	251	16	and	and	CCONJ
brj-24693	251	17	feedstuff	feedstuff	NOUN
brj-24693	251	18	,	,	PUNCT
brj-24693	251	19	”	"	PUNCT
brj-24693	251	20	aims	aim	VERB
brj-24693	251	21	agriculture	agriculture	NOUN
brj-24693	251	22	and	and	CCONJ
brj-24693	251	23	food	food	NOUN
brj-24693	251	24	6(1	6(1	NUM
brj-24693	251	25	)	)	PUNCT
brj-24693	251	26	,	,	PUNCT
brj-24693	251	27	463	463	NUM
brj-24693	251	28	-	-	SYM
brj-24693	251	29	477	477	NUM
brj-24693	251	30	.	.	PUNCT
brj-24693	252	1	doi	doi	NOUN
brj-24693	252	2	:	:	PUNCT
brj-24693	252	3	10.3934	10.3934	NUM
brj-24693	252	4	/	/	SYM
brj-24693	252	5	agrfood.2021027	agrfood.2021027	PROPN
brj-24693	252	6	tang	tang	PROPN
brj-24693	252	7	,	,	PUNCT
brj-24693	252	8	y.	y.	PROPN
brj-24693	252	9	,	,	PUNCT
brj-24693	252	10	huang	huang	PROPN
brj-24693	252	11	,	,	PUNCT
brj-24693	252	12	j.	j.	PROPN
brj-24693	252	13	,	,	PUNCT
brj-24693	252	14	and	and	CCONJ
brj-24693	252	15	wang	wang	PROPN
brj-24693	252	16	,	,	PUNCT
brj-24693	252	17	r.	r.	PROPN
brj-24693	252	18	(	(	PUNCT
brj-24693	252	19	2004	2004	NUM
brj-24693	252	20	)	)	PUNCT
brj-24693	252	21	.	.	PUNCT
brj-24693	253	1	“	"	PUNCT
brj-24693	253	2	study	study	VERB
brj-24693	253	3	on	on	ADP
brj-24693	253	4	estimating	estimate	VERB
brj-24693	253	5	the	the	DET
brj-24693	253	6	contents	content	NOUN
brj-24693	253	7	of	of	ADP
brj-24693	253	8	crude	crude	ADJ
brj-24693	253	9	protein	protein	NOUN
brj-24693	253	10	and	and	CCONJ
brj-24693	253	11	crude	crude	ADJ
brj-24693	253	12	starch	starch	NOUN
brj-24693	253	13	in	in	ADP
brj-24693	253	14	rice	rice	NOUN
brj-24693	253	15	panicle	panicle	NOUN
brj-24693	253	16	and	and	CCONJ
brj-24693	253	17	paddy	paddy	NOUN
brj-24693	253	18	by	by	ADP
brj-24693	253	19	hyperspectral	hyperspectral	NOUN
brj-24693	253	20	,	,	PUNCT
brj-24693	253	21	”	"	PUNCT
brj-24693	253	22	chinese	chinese	ADJ
brj-24693	253	23	agricultural	agricultural	ADJ
brj-24693	253	24	sciences	science	NOUN
brj-24693	253	25	2004(09	2004(09	NUM
brj-24693	253	26	)	)	PUNCT
brj-24693	253	27	,	,	PUNCT
brj-24693	253	28	1282	1282	NUM
brj-24693	253	29	-	-	SYM
brj-24693	253	30	1287	1287	NUM
brj-24693	253	31	.	.	PUNCT
brj-24693	254	1	wang	wang	PROPN
brj-24693	254	2	,	,	PUNCT
brj-24693	254	3	c.	c.	PROPN
brj-24693	254	4	,	,	PUNCT
brj-24693	254	5	wang	wang	PROPN
brj-24693	254	6	,	,	PUNCT
brj-24693	254	7	s.	s.	PROPN
brj-24693	254	8	,	,	PUNCT
brj-24693	254	9	he	he	PRON
brj-24693	254	10	,	,	PUNCT
brj-24693	254	11	x.	x.	PROPN
brj-24693	254	12	,	,	PUNCT
brj-24693	254	13	zhang	zhang	PROPN
brj-24693	254	14	,	,	PUNCT
brj-24693	254	15	y.	y.	PROPN
brj-24693	254	16	,	,	PUNCT
brj-24693	254	17	and	and	CCONJ
brj-24693	254	18	sun	sun	NOUN
brj-24693	254	19	,	,	PUNCT
brj-24693	254	20	l.	l.	PROPN
brj-24693	254	21	(	(	PUNCT
brj-24693	254	22	2020	2020	NUM
brj-24693	254	23	)	)	PUNCT
brj-24693	254	24	.	.	PUNCT
brj-24693	255	1	“	"	PUNCT
brj-24693	255	2	combination	combination	NOUN
brj-24693	255	3	of	of	ADP
brj-24693	255	4	spectra	spectra	ADJ
brj-24693	255	5	and	and	CCONJ
brj-24693	255	6	texture	texture	ADJ
brj-24693	255	7	data	datum	NOUN
brj-24693	255	8	of	of	ADP
brj-24693	255	9	hyperspectral	hyperspectral	ADJ
brj-24693	255	10	imaging	imaging	NOUN
brj-24693	255	11	for	for	ADP
brj-24693	255	12	prediction	prediction	NOUN
brj-24693	255	13	and	and	CCONJ
brj-24693	255	14	visualization	visualization	NOUN
brj-24693	255	15	of	of	ADP
brj-24693	255	16	palmitic	palmitic	ADJ
brj-24693	255	17	acid	acid	NOUN
brj-24693	255	18	and	and	CCONJ
brj-24693	255	19	oleic	oleic	VERB
brj-24693	255	20	acid	acid	NOUN
brj-24693	255	21	contents	content	NOUN
brj-24693	255	22	in	in	ADP
brj-24693	255	23	lamb	lamb	PROPN
brj-24693	255	24	meat	meat	NOUN
brj-24693	255	25	,	,	PUNCT
brj-24693	255	26	”	"	PUNCT
brj-24693	255	27	meat	meat	NOUN
brj-24693	255	28	science	science	NOUN
brj-24693	255	29	169	169	NUM
brj-24693	255	30	,	,	PUNCT
brj-24693	255	31	article	article	NOUN
brj-24693	255	32	108194	108194	NUM
brj-24693	255	33	.	.	PUNCT
brj-24693	256	1	doi	doi	NOUN
brj-24693	256	2	:	:	PUNCT
brj-24693	256	3	10.1016	10.1016	NUM
brj-24693	256	4	/	/	SYM
brj-24693	256	5	j.meatsci.2020.108194	j.meatsci.2020.108194	PROPN
brj-24693	256	6	xie	xie	PROPN
brj-24693	256	7	,	,	PUNCT
brj-24693	256	8	g.	g.	PROPN
brj-24693	256	9	(	(	PUNCT
brj-24693	256	10	2013	2013	NUM
brj-24693	256	11	)	)	PUNCT
brj-24693	256	12	.	.	PUNCT
brj-24693	257	1	the	the	DET
brj-24693	257	2	rapid	rapid	ADJ
brj-24693	257	3	detection	detection	NOUN
brj-24693	257	4	method	method	NOUN
brj-24693	257	5	and	and	CCONJ
brj-24693	257	6	model	model	NOUN
brj-24693	257	7	establishment	establishment	NOUN
brj-24693	257	8	of	of	ADP
brj-24693	257	9	dry	dry	ADJ
brj-24693	257	10	matter	matter	NOUN
brj-24693	257	11	and	and	CCONJ
brj-24693	257	12	soluble	soluble	ADJ
brj-24693	257	13	sugar	sugar	NOUN
brj-24693	257	14	of	of	ADP
brj-24693	257	15	rice	rice	NOUN
brj-24693	257	16	and	and	CCONJ
brj-24693	257	17	rape	rape	NOUN
brj-24693	257	18	straw	straw	NOUN
brj-24693	257	19	by	by	ADP
brj-24693	257	20	near	near	ADP
brj-24693	257	21	infrared	infrared	ADJ
brj-24693	257	22	reflectance	reflectance	NOUN
brj-24693	257	23	spectroscopy	spectroscopy	NOUN
brj-24693	257	24	,	,	PUNCT
brj-24693	257	25	master	master	NOUN
brj-24693	257	26	’s	’s	PART
brj-24693	257	27	thesis	thesis	NOUN
brj-24693	257	28	,	,	PUNCT
brj-24693	257	29	huazhong	huazhong	PROPN
brj-24693	257	30	agricultural	agricultural	PROPN
brj-24693	257	31	university	university	PROPN
brj-24693	257	32	,	,	PUNCT
brj-24693	257	33	wuhan	wuhan	PROPN
brj-24693	257	34	,	,	PUNCT
brj-24693	257	35	china	china	PROPN
brj-24693	257	36	.	.	PUNCT
brj-24693	257	37	yan	yan	PROPN
brj-24693	257	38	,	,	PUNCT
brj-24693	257	39	f.	f.	PROPN
brj-24693	257	40	(	(	PUNCT
brj-24693	257	41	2005	2005	NUM
brj-24693	257	42	)	)	PUNCT
brj-24693	257	43	.	.	PUNCT
brj-24693	258	1	basics	basic	NOUN
brj-24693	258	2	and	and	CCONJ
brj-24693	258	3	applications	application	NOUN
brj-24693	258	4	of	of	ADP
brj-24693	258	5	near	near	ADV
brj-24693	258	6	-	-	PUNCT
brj-24693	258	7	infrared	infrared	ADJ
brj-24693	258	8	spectral	spectral	ADJ
brj-24693	258	9	analysis	analysis	NOUN
brj-24693	258	10	,	,	PUNCT
brj-24693	258	11	china	china	PROPN
brj-24693	258	12	light	light	PROPN
brj-24693	258	13	industry	industry	NOUN
brj-24693	258	14	press	press	NOUN
brj-24693	258	15	,	,	PUNCT
brj-24693	258	16	beijing	beijing	PROPN
brj-24693	258	17	.	.	PUNCT
brj-24693	258	18	yan	yan	PROPN
brj-24693	258	19	,	,	PUNCT
brj-24693	258	20	j.	j.	PROPN
brj-24693	258	21	,	,	PUNCT
brj-24693	258	22	chen	chen	PROPN
brj-24693	258	23	,	,	PUNCT
brj-24693	258	24	h.	h.	PROPN
brj-24693	258	25	,	,	PUNCT
brj-24693	258	26	and	and	CCONJ
brj-24693	258	27	liu	liu	PROPN
brj-24693	258	28	,	,	PUNCT
brj-24693	258	29	l.	l.	PROPN
brj-24693	258	30	(	(	PUNCT
brj-24693	258	31	2019	2019	NUM
brj-24693	258	32	)	)	PUNCT
brj-24693	258	33	.	.	PUNCT
brj-24693	259	1	“	"	PUNCT
brj-24693	259	2	overview	overview	NOUN
brj-24693	259	3	of	of	ADP
brj-24693	259	4	hyperspectral	hyperspectral	ADJ
brj-24693	259	5	image	image	NOUN
brj-24693	259	6	classification	classification	NOUN
brj-24693	259	7	,	,	PUNCT
brj-24693	259	8	”	"	PUNCT
brj-24693	259	9	optics	optic	NOUN
brj-24693	259	10	and	and	CCONJ
brj-24693	259	11	precision	precision	NOUN
brj-24693	259	12	engineering	engineering	NOUN
brj-24693	259	13	27(3	27(3	NUM
brj-24693	259	14	)	)	PUNCT
brj-24693	259	15	,	,	PUNCT
brj-24693	259	16	680	680	NUM
brj-24693	259	17	-	-	PUNCT
brj-24693	259	18	693	693	NUM
brj-24693	259	19	.	.	PUNCT
brj-24693	260	1	doi	doi	NOUN
brj-24693	260	2	:	:	PUNCT
brj-24693	260	3	10.3788	10.3788	NUM
brj-24693	260	4	/	/	SYM
brj-24693	260	5	ope.20192703.0680	ope.20192703.0680	PRON
brj-24693	260	6	yang	yang	PROPN
brj-24693	260	7	,	,	PUNCT
brj-24693	260	8	d.	d.	PROPN
brj-24693	260	9	,	,	PUNCT
brj-24693	260	10	lu	lu	PROPN
brj-24693	260	11	,	,	PUNCT
brj-24693	260	12	a.	a.	NOUN
brj-24693	260	13	,	,	PUNCT
brj-24693	260	14	and	and	CCONJ
brj-24693	260	15	wang	wang	PROPN
brj-24693	260	16	,	,	PUNCT
brj-24693	260	17	j.(2017	j.(2017	NOUN
brj-24693	260	18	)	)	PUNCT
brj-24693	260	19	.	.	PUNCT
brj-24693	261	1	“	"	PUNCT
brj-24693	261	2	quantification	quantification	NOUN
brj-24693	261	3	and	and	CCONJ
brj-24693	261	4	visualization	visualization	NOUN
brj-24693	261	5	of	of	ADP
brj-24693	261	6	total	total	ADJ
brj-24693	261	7	volatile	volatile	ADJ
brj-24693	261	8	basic	basic	ADJ
brj-24693	261	9	nitrogen	nitrogen	NOUN
brj-24693	261	10	content	content	NOUN
brj-24693	261	11	of	of	ADP
brj-24693	261	12	cooked	cooked	ADJ
brj-24693	261	13	beef	beef	NOUN
brj-24693	261	14	by	by	ADP
brj-24693	261	15	hyperspectral	hyperspectral	ADJ
brj-24693	261	16	imaging	imaging	NOUN
brj-24693	261	17	technique	technique	NOUN
brj-24693	261	18	,	,	PUNCT
brj-24693	261	19	”	"	PUNCT
brj-24693	261	20	modern	modern	ADJ
brj-24693	261	21	food	food	NOUN
brj-24693	261	22	science	science	NOUN
brj-24693	261	23	and	and	CCONJ
brj-24693	261	24	technology	technology	NOUN
brj-24693	261	25	33(9	33(9	NUM
brj-24693	261	26	)	)	PUNCT
brj-24693	261	27	,	,	PUNCT
brj-24693	261	28	257	257	NUM
brj-24693	261	29	-	-	SYM
brj-24693	261	30	264	264	NUM
brj-24693	261	31	.	.	PUNCT
brj-24693	261	32	peer	peer	NOUN
brj-24693	261	33	-	-	PUNCT
brj-24693	261	34	reviewed	review	VERB
brj-24693	261	35	article	article	NOUN
brj-24693	261	36	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24693	261	37	guo	guo	PROPN
brj-24693	261	38	et	et	PROPN
brj-24693	261	39	al	al	PROPN
brj-24693	261	40	.	.	PROPN
brj-24693	262	1	(	(	PUNCT
brj-24693	262	2	2025	2025	NUM
brj-24693	262	3	)	)	PUNCT
brj-24693	262	4	.	.	PUNCT
brj-24693	263	1	“	"	PUNCT
brj-24693	263	2	imaging	imaging	NOUN
brj-24693	263	3	of	of	ADP
brj-24693	263	4	pomace	pomace	NOUN
brj-24693	263	5	for	for	ADP
brj-24693	263	6	nutrition	nutrition	NOUN
brj-24693	263	7	,	,	PUNCT
brj-24693	263	8	”	"	PUNCT
brj-24693	263	9	bioresources	bioresource	VERB
brj-24693	263	10	20(4	20(4	NOUN
brj-24693	263	11	)	)	PUNCT
brj-24693	263	12	,	,	PUNCT
brj-24693	263	13	10249	10249	NUM
brj-24693	263	14	-	-	SYM
brj-24693	263	15	10262	10262	NUM
brj-24693	263	16	.	.	PUNCT
brj-24693	264	1	10262	10262	NUM
brj-24693	264	2	yang	yang	PROPN
brj-24693	264	3	,	,	PUNCT
brj-24693	264	4	x.	x.	NOUN
brj-24693	264	5	(	(	PUNCT
brj-24693	264	6	2024	2024	NUM
brj-24693	264	7	)	)	PUNCT
brj-24693	264	8	.	.	PUNCT
brj-24693	265	1	soil	soil	NOUN
brj-24693	265	2	moisture	moisture	PROPN
brj-24693	265	3	content	content	PROPN
brj-24693	265	4	estimation	estimation	NOUN
brj-24693	265	5	model	model	NOUN
brj-24693	265	6	based	base	VERB
brj-24693	265	7	on	on	ADP
brj-24693	265	8	hyperspectral	hyperspectral	ADJ
brj-24693	265	9	image	image	NOUN
brj-24693	265	10	texture	texture	NOUN
brj-24693	265	11	and	and	CCONJ
brj-24693	265	12	spectral	spectral	ADJ
brj-24693	265	13	feature	feature	NOUN
brj-24693	265	14	fusion	fusion	NOUN
brj-24693	265	15	,	,	PUNCT
brj-24693	265	16	master	master	NOUN
brj-24693	265	17	’s	’s	PART
brj-24693	265	18	thesis	thesis	NOUN
brj-24693	265	19	,	,	PUNCT
brj-24693	265	20	northwest	northwest	PROPN
brj-24693	265	21	a&f	a&f	PROPN
brj-24693	265	22	university	university	PROPN
brj-24693	265	23	,	,	PUNCT
brj-24693	265	24	xianyang	xianyang	PROPN
brj-24693	265	25	,	,	PUNCT
brj-24693	265	26	china	china	PROPN
brj-24693	265	27	.	.	PUNCT
brj-24693	266	1	yu	yu	PROPN
brj-24693	266	2	,	,	PUNCT
brj-24693	266	3	z.	z.	PROPN
brj-24693	266	4	,	,	PUNCT
brj-24693	266	5	chen	chen	PROPN
brj-24693	266	6	,	,	PUNCT
brj-24693	266	7	x.	x.	PROPN
brj-24693	266	8	,	,	PUNCT
brj-24693	266	9	zhang	zhang	PROPN
brj-24693	266	10	,	,	PUNCT
brj-24693	266	11	j.	j.	PROPN
brj-24693	266	12	,	,	PUNCT
brj-24693	266	13	su	su	PROPN
brj-24693	266	14	,	,	PUNCT
brj-24693	266	15	q.	q.	PROPN
brj-24693	266	16	,	,	PUNCT
brj-24693	266	17	wang	wang	PROPN
brj-24693	266	18	,	,	PUNCT
brj-24693	266	19	k.	k.	PROPN
brj-24693	266	20	,	,	PUNCT
brj-24693	266	21	and	and	CCONJ
brj-24693	266	22	liu	liu	PROPN
brj-24693	266	23	,	,	PUNCT
brj-24693	266	24	w.	w.	PROPN
brj-24693	266	25	(	(	PUNCT
brj-24693	266	26	2023	2023	NUM
brj-24693	266	27	)	)	PUNCT
brj-24693	266	28	.	.	PUNCT
brj-24693	267	1	“	"	PUNCT
brj-24693	267	2	rapid	rapid	ADJ
brj-24693	267	3	and	and	CCONJ
brj-24693	267	4	nondestructive	nondestructive	ADJ
brj-24693	267	5	estimation	estimation	NOUN
brj-24693	267	6	of	of	ADP
brj-24693	267	7	moisture	moisture	NOUN
brj-24693	267	8	content	content	NOUN
brj-24693	267	9	in	in	ADP
brj-24693	267	10	caragana	caragana	PROPN
brj-24693	267	11	korshinskii	korshinskii	PROPN
brj-24693	267	12	pellet	pellet	NOUN
brj-24693	267	13	feed	feed	NOUN
brj-24693	267	14	using	use	VERB
brj-24693	267	15	hyperspectral	hyperspectral	ADJ
brj-24693	267	16	imaging	imaging	NOUN
brj-24693	267	17	,	,	PUNCT
brj-24693	267	18	”	"	PUNCT
brj-24693	267	19	sensors	sensor	NOUN
brj-24693	267	20	23(17	23(17	NUM
brj-24693	267	21	)	)	PUNCT
brj-24693	267	22	,	,	PUNCT
brj-24693	267	23	article	article	NOUN
brj-24693	267	24	7592	7592	NUM
brj-24693	267	25	.	.	PUNCT
brj-24693	268	1	doi	doi	NOUN
brj-24693	268	2	:	:	PUNCT
brj-24693	268	3	10.3390	10.3390	NUM
brj-24693	268	4	/	/	SYM
brj-24693	268	5	s23177592	s23177592	PROPN
brj-24693	268	6	zhang	zhang	PROPN
brj-24693	268	7	,	,	PUNCT
brj-24693	268	8	m.	m.	NOUN
brj-24693	268	9	(	(	PUNCT
brj-24693	268	10	2023	2023	NUM
brj-24693	268	11	)	)	PUNCT
brj-24693	268	12	.	.	PUNCT
brj-24693	269	1	research	research	NOUN
brj-24693	269	2	on	on	ADP
brj-24693	269	3	the	the	DET
brj-24693	269	4	detection	detection	NOUN
brj-24693	269	5	and	and	CCONJ
brj-24693	269	6	grading	grading	NOUN
brj-24693	269	7	of	of	ADP
brj-24693	269	8	silage	silage	NOUN
brj-24693	269	9	corn	corn	NOUN
brj-24693	269	10	feed	feed	NOUN
brj-24693	269	11	quality	quality	NOUN
brj-24693	269	12	based	base	VERB
brj-24693	269	13	on	on	ADP
brj-24693	269	14	hyperspectral	hyperspectral	NOUN
brj-24693	269	15	,	,	PUNCT
brj-24693	269	16	master	master	NOUN
brj-24693	269	17	’s	’s	PART
brj-24693	269	18	thesis	thesis	NOUN
brj-24693	269	19	,	,	PUNCT
brj-24693	269	20	inner	inner	PROPN
brj-24693	269	21	mongolia	mongolia	PROPN
brj-24693	269	22	agricultural	agricultural	PROPN
brj-24693	269	23	university	university	PROPN
brj-24693	269	24	,	,	PUNCT
brj-24693	269	25	hohhot	hohhot	PROPN
brj-24693	269	26	,	,	PUNCT
brj-24693	269	27	china	china	PROPN
brj-24693	269	28	.	.	PUNCT
brj-24693	270	1	article	article	PROPN
brj-24693	270	2	submitted	submit	VERB
brj-24693	270	3	:	:	PUNCT
brj-24693	270	4	april	april	PROPN
brj-24693	270	5	15	15	NUM
brj-24693	270	6	,	,	PUNCT
brj-24693	270	7	2025	2025	NUM
brj-24693	270	8	;	;	PUNCT
brj-24693	270	9	peer	peer	NOUN
brj-24693	270	10	review	review	NOUN
brj-24693	270	11	completed	complete	VERB
brj-24693	270	12	:	:	PUNCT
brj-24693	270	13	september	september	PROPN
brj-24693	270	14	27	27	NUM
brj-24693	270	15	,	,	PUNCT
brj-24693	270	16	2025	2025	NUM
brj-24693	270	17	;	;	PUNCT
brj-24693	270	18	revised	revise	VERB
brj-24693	270	19	version	version	NOUN
brj-24693	270	20	received	receive	VERB
brj-24693	270	21	and	and	CCONJ
brj-24693	270	22	accepted	accept	VERB
brj-24693	270	23	:	:	PUNCT
brj-24693	270	24	september	september	PROPN
brj-24693	270	25	29	29	NUM
brj-24693	270	26	,	,	PUNCT
brj-24693	270	27	2025	2025	NUM
brj-24693	270	28	;	;	PUNCT
brj-24693	270	29	published	publish	VERB
brj-24693	270	30	:	:	PUNCT
brj-24693	270	31	october	october	PROPN
brj-24693	270	32	13	13	NUM
brj-24693	270	33	,	,	PUNCT
brj-24693	270	34	2025	2025	NUM
brj-24693	270	35	.	.	PUNCT
brj-24693	271	1	doi	doi	NOUN
brj-24693	271	2	:	:	PUNCT
brj-24693	271	3	10.15376	10.15376	NUM
brj-24693	271	4	/	/	SYM
brj-24693	271	5	biores.20.4.10249	biores.20.4.10249	PROPN
brj-24693	271	6	-	-	PUNCT
brj-24693	271	7	10262	10262	NUM