id	sid	tid	token	lemma	pos
fcis-2071	1	1	frontiers	frontier	NOUN
fcis-2071	1	2	in	in	ADP
fcis-2071	1	3	computing	computing	NOUN
fcis-2071	1	4	and	and	CCONJ
fcis-2071	1	5	intelligent	intelligent	ADJ
fcis-2071	1	6	systems	system	NOUN
fcis-2071	1	7	issn	issn	VERB
fcis-2071	1	8	:	:	PUNCT
fcis-2071	1	9	2832	2832	NUM
fcis-2071	1	10	-	-	SYM
fcis-2071	1	11	6024	6024	NUM
fcis-2071	1	12	|	|	NOUN
fcis-2071	1	13	vol	vol	NOUN
fcis-2071	1	14	.	.	PROPN
fcis-2071	2	1	1	1	NUM
fcis-2071	2	2	,	,	PUNCT
fcis-2071	2	3	no	no	INTJ
fcis-2071	2	4	.	.	NOUN
fcis-2071	2	5	3	3	NUM
fcis-2071	2	6	,	,	PUNCT
fcis-2071	2	7	2022	2022	NUM
fcis-2071	2	8	54	54	NUM
fcis-2071	2	9	classification	classification	NOUN
fcis-2071	2	10	of	of	ADP
fcis-2071	2	11	black	black	ADJ
fcis-2071	2	12	tea	tea	NOUN
fcis-2071	2	13	leaf	leaf	NOUN
fcis-2071	2	14	water	water	NOUN
fcis-2071	2	15	content	content	NOUN
fcis-2071	2	16	based	base	VERB
fcis-2071	2	17	on	on	ADP
fcis-2071	2	18	hyperspectral	hyperspectral	ADJ
fcis-2071	2	19	imaging	imaging	NOUN
fcis-2071	2	20	peiye	peiye	PROPN
fcis-2071	2	21	li	li	PROPN
fcis-2071	2	22	guangdong	guangdong	PROPN
fcis-2071	2	23	experimental	experimental	PROPN
fcis-2071	2	24	high	high	PROPN
fcis-2071	2	25	school	school	NOUN
fcis-2071	2	26	,	,	PUNCT
fcis-2071	2	27	guangdong	guangdong	PROPN
fcis-2071	2	28	guangzhou	guangzhou	PROPN
fcis-2071	2	29	510055	510055	NUM
fcis-2071	2	30	,	,	PUNCT
fcis-2071	2	31	china	china	PROPN
fcis-2071	2	32	.	.	PUNCT
fcis-2071	3	1	abstract	abstract	ADJ
fcis-2071	3	2	:	:	PUNCT
fcis-2071	3	3	withering	wither	VERB
fcis-2071	3	4	is	be	AUX
fcis-2071	3	5	an	an	DET
fcis-2071	3	6	important	important	ADJ
fcis-2071	3	7	process	process	NOUN
fcis-2071	3	8	step	step	NOUN
fcis-2071	3	9	in	in	ADP
fcis-2071	3	10	black	black	ADJ
fcis-2071	3	11	tea	tea	NOUN
fcis-2071	3	12	production	production	NOUN
fcis-2071	3	13	,	,	PUNCT
fcis-2071	3	14	and	and	CCONJ
fcis-2071	3	15	the	the	DET
fcis-2071	3	16	degree	degree	NOUN
fcis-2071	3	17	of	of	ADP
fcis-2071	3	18	withering	wither	VERB
fcis-2071	3	19	directly	directly	ADV
fcis-2071	3	20	determines	determine	VERB
fcis-2071	3	21	the	the	DET
fcis-2071	3	22	quality	quality	NOUN
fcis-2071	3	23	and	and	CCONJ
fcis-2071	3	24	flavor	flavor	NOUN
fcis-2071	3	25	of	of	ADP
fcis-2071	3	26	black	black	ADJ
fcis-2071	3	27	tea	tea	NOUN
fcis-2071	3	28	.	.	PUNCT
fcis-2071	4	1	presently	presently	ADV
fcis-2071	4	2	,	,	PUNCT
fcis-2071	4	3	the	the	DET
fcis-2071	4	4	judgment	judgment	NOUN
fcis-2071	4	5	of	of	ADP
fcis-2071	4	6	the	the	DET
fcis-2071	4	7	degree	degree	NOUN
fcis-2071	4	8	of	of	ADP
fcis-2071	4	9	the	the	DET
fcis-2071	4	10	withering	withering	NOUN
fcis-2071	4	11	of	of	ADP
fcis-2071	4	12	black	black	ADJ
fcis-2071	4	13	tea	tea	NOUN
fcis-2071	4	14	at	at	ADP
fcis-2071	4	15	home	home	NOUN
fcis-2071	4	16	and	and	CCONJ
fcis-2071	4	17	abroad	abroad	ADV
fcis-2071	4	18	mainly	mainly	ADV
fcis-2071	4	19	depends	depend	VERB
fcis-2071	4	20	on	on	ADP
fcis-2071	4	21	the	the	DET
fcis-2071	4	22	experience	experience	NOUN
fcis-2071	4	23	of	of	ADP
fcis-2071	4	24	tea	tea	NOUN
fcis-2071	4	25	masters	master	NOUN
fcis-2071	4	26	,	,	PUNCT
fcis-2071	4	27	which	which	PRON
fcis-2071	4	28	is	be	AUX
fcis-2071	4	29	highly	highly	ADV
fcis-2071	4	30	subjective	subjective	ADJ
fcis-2071	4	31	and	and	CCONJ
fcis-2071	4	32	quickly	quickly	ADV
fcis-2071	4	33	leads	lead	VERB
fcis-2071	4	34	to	to	ADP
fcis-2071	4	35	the	the	DET
fcis-2071	4	36	inconsistent	inconsistent	ADJ
fcis-2071	4	37	quality	quality	NOUN
fcis-2071	4	38	of	of	ADP
fcis-2071	4	39	finished	finished	ADJ
fcis-2071	4	40	tea	tea	NOUN
fcis-2071	4	41	.	.	PUNCT
fcis-2071	5	1	based	base	VERB
fcis-2071	5	2	on	on	ADP
fcis-2071	5	3	these	these	DET
fcis-2071	5	4	reasons	reason	NOUN
fcis-2071	5	5	,	,	PUNCT
fcis-2071	5	6	this	this	DET
fcis-2071	5	7	thesis	thesis	NOUN
fcis-2071	5	8	takes	take	VERB
fcis-2071	5	9	ying	ying	PROPN
fcis-2071	5	10	hong	hong	PROPN
fcis-2071	5	11	no	no	INTJ
fcis-2071	5	12	.	.	NOUN
fcis-2071	5	13	9	9	NUM
fcis-2071	5	14	black	black	ADJ
fcis-2071	5	15	tea	tea	NOUN
fcis-2071	5	16	as	as	ADP
fcis-2071	5	17	the	the	DET
fcis-2071	5	18	research	research	NOUN
fcis-2071	5	19	object	object	NOUN
fcis-2071	5	20	,	,	PUNCT
fcis-2071	5	21	extracts	extract	VERB
fcis-2071	5	22	the	the	DET
fcis-2071	5	23	spectral	spectral	ADJ
fcis-2071	5	24	information	information	NOUN
fcis-2071	5	25	of	of	ADP
fcis-2071	5	26	50	50	NUM
fcis-2071	5	27	tea	tea	NOUN
fcis-2071	5	28	leaves	leave	NOUN
fcis-2071	5	29	in	in	ADP
fcis-2071	5	30	four	four	NUM
fcis-2071	5	31	time	time	NOUN
fcis-2071	5	32	periods	period	NOUN
fcis-2071	5	33	using	use	VERB
fcis-2071	5	34	hyperspectral	hyperspectral	ADJ
fcis-2071	5	35	imaging	imaging	NOUN
fcis-2071	5	36	technology	technology	NOUN
fcis-2071	5	37	and	and	CCONJ
fcis-2071	5	38	an	an	DET
fcis-2071	5	39	image	image	NOUN
fcis-2071	5	40	processing	processing	NOUN
fcis-2071	5	41	algorithm	algorithm	NOUN
fcis-2071	5	42	,	,	PUNCT
fcis-2071	5	43	and	and	CCONJ
fcis-2071	5	44	classifies	classify	VERB
fcis-2071	5	45	them	they	PRON
fcis-2071	5	46	using	use	VERB
fcis-2071	5	47	a	a	DET
fcis-2071	5	48	support	support	NOUN
fcis-2071	5	49	vector	vector	NOUN
fcis-2071	5	50	machine	machine	NOUN
fcis-2071	5	51	,	,	PUNCT
fcis-2071	5	52	k	k	ADJ
fcis-2071	5	53	-	-	PUNCT
fcis-2071	5	54	value	value	NOUN
fcis-2071	5	55	proximity	proximity	NOUN
fcis-2071	5	56	,	,	PUNCT
fcis-2071	5	57	random	random	ADJ
fcis-2071	5	58	forest	forest	NOUN
fcis-2071	5	59	algorithm	algorithm	NOUN
fcis-2071	5	60	,	,	PUNCT
fcis-2071	5	61	and	and	CCONJ
fcis-2071	5	62	bp	bp	PROPN
fcis-2071	5	63	neural	neural	ADJ
fcis-2071	5	64	network	network	NOUN
fcis-2071	5	65	,	,	PUNCT
fcis-2071	5	66	and	and	CCONJ
fcis-2071	5	67	the	the	DET
fcis-2071	5	68	experimental	experimental	ADJ
fcis-2071	5	69	results	result	NOUN
fcis-2071	5	70	show	show	VERB
fcis-2071	5	71	that	that	SCONJ
fcis-2071	5	72	the	the	DET
fcis-2071	5	73	spectral	spectral	ADJ
fcis-2071	5	74	information	information	NOUN
fcis-2071	5	75	of	of	ADP
fcis-2071	5	76	tea	tea	NOUN
fcis-2071	5	77	leaves	leave	NOUN
fcis-2071	5	78	in	in	ADP
fcis-2071	5	79	different	different	ADJ
fcis-2071	5	80	periods	period	NOUN
fcis-2071	5	81	has	have	VERB
fcis-2071	5	82	some	some	DET
fcis-2071	5	83	variability	variability	NOUN
fcis-2071	5	84	.	.	PUNCT
fcis-2071	6	1	the	the	DET
fcis-2071	6	2	bp	bp	PROPN
fcis-2071	6	3	neural	neural	PROPN
fcis-2071	6	4	network	network	NOUN
fcis-2071	6	5	in	in	ADP
fcis-2071	6	6	the	the	DET
fcis-2071	6	7	classification	classification	NOUN
fcis-2071	6	8	accuracy	accuracy	NOUN
fcis-2071	6	9	on	on	ADP
fcis-2071	6	10	the	the	DET
fcis-2071	6	11	test	test	NOUN
fcis-2071	6	12	set	set	NOUN
fcis-2071	6	13	reached	reach	VERB
fcis-2071	6	14	73.3	73.3	NUM
fcis-2071	6	15	%	%	NOUN
fcis-2071	6	16	,	,	PUNCT
fcis-2071	6	17	which	which	PRON
fcis-2071	6	18	was	be	AUX
fcis-2071	6	19	significantly	significantly	ADV
fcis-2071	6	20	better	well	ADJ
fcis-2071	6	21	than	than	ADP
fcis-2071	6	22	the	the	DET
fcis-2071	6	23	other	other	ADJ
fcis-2071	6	24	three	three	NUM
fcis-2071	6	25	algorithms	algorithm	NOUN
fcis-2071	6	26	.	.	PUNCT
fcis-2071	7	1	therefore	therefore	ADV
fcis-2071	7	2	,	,	PUNCT
fcis-2071	7	3	it	it	PRON
fcis-2071	7	4	is	be	AUX
fcis-2071	7	5	feasible	feasible	ADJ
fcis-2071	7	6	to	to	PART
fcis-2071	7	7	use	use	VERB
fcis-2071	7	8	hyperspectral	hyperspectral	ADJ
fcis-2071	7	9	imaging	imaging	NOUN
fcis-2071	7	10	technology	technology	NOUN
fcis-2071	7	11	and	and	CCONJ
fcis-2071	7	12	related	relate	VERB
fcis-2071	7	13	classification	classification	NOUN
fcis-2071	7	14	algorithms	algorithm	NOUN
fcis-2071	7	15	to	to	PART
fcis-2071	7	16	nondestructively	nondestructively	ADV
fcis-2071	7	17	identify	identify	VERB
fcis-2071	7	18	and	and	CCONJ
fcis-2071	7	19	classify	classify	VERB
fcis-2071	7	20	the	the	DET
fcis-2071	7	21	water	water	NOUN
fcis-2071	7	22	content	content	NOUN
fcis-2071	7	23	of	of	ADP
fcis-2071	7	24	black	black	ADJ
fcis-2071	7	25	tea	tea	NOUN
fcis-2071	7	26	leaves	leave	NOUN
fcis-2071	7	27	during	during	ADP
fcis-2071	7	28	the	the	DET
fcis-2071	7	29	tail	tail	NOUN
fcis-2071	7	30	-	-	PUNCT
fcis-2071	7	31	withering	wither	VERB
fcis-2071	7	32	process	process	NOUN
fcis-2071	7	33	.	.	PUNCT
fcis-2071	8	1	keywords	keyword	NOUN
fcis-2071	8	2	:	:	PUNCT
fcis-2071	8	3	hyperspectral	hyperspectral	ADJ
fcis-2071	8	4	imaging	imaging	NOUN
fcis-2071	8	5	technology	technology	NOUN
fcis-2071	8	6	;	;	PUNCT
fcis-2071	8	7	black	black	ADJ
fcis-2071	8	8	tea	tea	NOUN
fcis-2071	8	9	tail	tail	NOUN
fcis-2071	8	10	withering	wither	VERB
fcis-2071	8	11	;	;	PUNCT
fcis-2071	8	12	ying	ying	PROPN
fcis-2071	8	13	hong	hong	PROPN
fcis-2071	8	14	ix	ix	PROPN
fcis-2071	8	15	;	;	PUNCT
fcis-2071	8	16	bp	bp	PROPN
fcis-2071	8	17	neural	neural	ADJ
fcis-2071	8	18	network	network	NOUN
fcis-2071	8	19	.	.	PUNCT
fcis-2071	9	1	1	1	X
fcis-2071	9	2	.	.	X
fcis-2071	9	3	introduction	introduction	NOUN
fcis-2071	9	4	tea	tea	NOUN
fcis-2071	9	5	is	be	AUX
fcis-2071	9	6	significant	significant	ADJ
fcis-2071	9	7	to	to	ADP
fcis-2071	9	8	the	the	DET
fcis-2071	9	9	spread	spread	NOUN
fcis-2071	9	10	of	of	ADP
fcis-2071	9	11	chinese	chinese	ADJ
fcis-2071	9	12	culture	culture	NOUN
fcis-2071	9	13	and	and	CCONJ
fcis-2071	9	14	economic	economic	ADJ
fcis-2071	9	15	trade	trade	NOUN
fcis-2071	10	1	[	[	X
fcis-2071	10	2	1	1	NUM
fcis-2071	10	3	]	]	PUNCT
fcis-2071	10	4	.	.	PUNCT
fcis-2071	11	1	foreign	foreign	ADJ
fcis-2071	11	2	countries	country	NOUN
fcis-2071	11	3	developed	develop	VERB
fcis-2071	11	4	nondestructive	nondestructive	ADJ
fcis-2071	11	5	testing	testing	NOUN
fcis-2071	11	6	technology	technology	NOUN
fcis-2071	11	7	earlier	early	ADV
fcis-2071	11	8	.	.	PUNCT
fcis-2071	12	1	however	however	ADV
fcis-2071	12	2	,	,	PUNCT
fcis-2071	12	3	china	china	PROPN
fcis-2071	12	4	still	still	ADV
fcis-2071	12	5	has	have	VERB
fcis-2071	12	6	certain	certain	ADJ
fcis-2071	12	7	defects	defect	NOUN
fcis-2071	12	8	in	in	ADP
fcis-2071	12	9	tea	tea	NOUN
fcis-2071	12	10	quality	quality	NOUN
fcis-2071	12	11	testing	testing	NOUN
fcis-2071	12	12	and	and	CCONJ
fcis-2071	12	13	lacks	lack	VERB
fcis-2071	12	14	an	an	DET
fcis-2071	12	15	efficient	efficient	ADJ
fcis-2071	12	16	testing	testing	NOUN
fcis-2071	12	17	method	method	NOUN
fcis-2071	12	18	.	.	PUNCT
fcis-2071	13	1	thus	thus	ADV
fcis-2071	13	2	,	,	PUNCT
fcis-2071	13	3	there	there	PRON
fcis-2071	13	4	is	be	VERB
fcis-2071	13	5	a	a	DET
fcis-2071	13	6	need	need	NOUN
fcis-2071	13	7	to	to	PART
fcis-2071	13	8	develop	develop	VERB
fcis-2071	13	9	an	an	DET
fcis-2071	13	10	immediate	immediate	ADJ
fcis-2071	13	11	and	and	CCONJ
fcis-2071	13	12	nondestructive	nondestructive	ADJ
fcis-2071	13	13	testing	testing	NOUN
fcis-2071	13	14	method	method	NOUN
fcis-2071	13	15	.	.	PUNCT
fcis-2071	14	1	as	as	ADP
fcis-2071	14	2	a	a	DET
fcis-2071	14	3	necessary	necessary	ADJ
fcis-2071	14	4	substance	substance	NOUN
fcis-2071	14	5	for	for	ADP
fcis-2071	14	6	plant	plant	NOUN
fcis-2071	14	7	growth	growth	NOUN
fcis-2071	14	8	,	,	PUNCT
fcis-2071	14	9	water	water	NOUN
fcis-2071	14	10	participates	participate	VERB
fcis-2071	14	11	in	in	ADP
fcis-2071	14	12	chemical	chemical	ADJ
fcis-2071	14	13	reactions	reaction	NOUN
fcis-2071	14	14	such	such	ADJ
fcis-2071	14	15	as	as	ADP
fcis-2071	14	16	photosynthesis	photosynthesis	NOUN
fcis-2071	14	17	and	and	CCONJ
fcis-2071	14	18	respiration	respiration	NOUN
fcis-2071	14	19	as	as	ADP
fcis-2071	14	20	raw	raw	ADJ
fcis-2071	14	21	material	material	NOUN
fcis-2071	14	22	and	and	CCONJ
fcis-2071	14	23	acts	act	VERB
fcis-2071	14	24	as	as	ADP
fcis-2071	14	25	a	a	DET
fcis-2071	14	26	solvent	solvent	NOUN
fcis-2071	14	27	for	for	ADP
fcis-2071	14	28	material	material	NOUN
fcis-2071	14	29	absorption	absorption	NOUN
fcis-2071	14	30	and	and	CCONJ
fcis-2071	14	31	transportation	transportation	NOUN
fcis-2071	14	32	and	and	CCONJ
fcis-2071	14	33	is	be	AUX
fcis-2071	14	34	an	an	DET
fcis-2071	14	35	important	important	ADJ
fcis-2071	14	36	component	component	NOUN
fcis-2071	14	37	for	for	ADP
fcis-2071	14	38	maintaining	maintain	VERB
fcis-2071	14	39	plant	plant	NOUN
fcis-2071	14	40	cell	cell	NOUN
fcis-2071	14	41	morphology	morphology	NOUN
fcis-2071	15	1	[	[	X
fcis-2071	15	2	2	2	NUM
fcis-2071	15	3	]	]	PUNCT
fcis-2071	15	4	.	.	PUNCT
fcis-2071	16	1	in	in	ADP
fcis-2071	16	2	tea	tea	NOUN
fcis-2071	16	3	,	,	PUNCT
fcis-2071	16	4	the	the	DET
fcis-2071	16	5	water	water	NOUN
fcis-2071	16	6	content	content	NOUN
fcis-2071	16	7	of	of	ADP
fcis-2071	16	8	fresh	fresh	ADJ
fcis-2071	16	9	leaves	leave	NOUN
fcis-2071	16	10	is	be	AUX
fcis-2071	16	11	63%~80	63%~80	NOUN
fcis-2071	16	12	%	%	NOUN
fcis-2071	16	13	,	,	PUNCT
fcis-2071	16	14	affecting	affect	VERB
fcis-2071	16	15	the	the	DET
fcis-2071	16	16	concentration	concentration	NOUN
fcis-2071	16	17	of	of	ADP
fcis-2071	16	18	other	other	ADJ
fcis-2071	16	19	components	component	NOUN
fcis-2071	16	20	within	within	ADP
fcis-2071	16	21	the	the	DET
fcis-2071	16	22	tea	tea	NOUN
fcis-2071	16	23	,	,	PUNCT
fcis-2071	16	24	thus	thus	ADV
fcis-2071	16	25	affecting	affect	VERB
fcis-2071	16	26	the	the	DET
fcis-2071	16	27	quality	quality	NOUN
fcis-2071	16	28	of	of	ADP
fcis-2071	16	29	tea	tea	NOUN
fcis-2071	17	1	[	[	X
fcis-2071	17	2	3	3	NUM
fcis-2071	17	3	]	]	PUNCT
fcis-2071	17	4	.	.	PUNCT
fcis-2071	18	1	the	the	DET
fcis-2071	18	2	moisture	moisture	NOUN
fcis-2071	18	3	content	content	NOUN
fcis-2071	18	4	of	of	ADP
fcis-2071	18	5	black	black	ADJ
fcis-2071	18	6	tea	tea	NOUN
fcis-2071	18	7	is	be	AUX
fcis-2071	18	8	an	an	DET
fcis-2071	18	9	important	important	ADJ
fcis-2071	18	10	factor	factor	NOUN
fcis-2071	18	11	in	in	ADP
fcis-2071	18	12	controlling	control	VERB
fcis-2071	18	13	its	its	PRON
fcis-2071	18	14	quality	quality	NOUN
fcis-2071	18	15	during	during	ADP
fcis-2071	18	16	production	production	NOUN
fcis-2071	18	17	.	.	PUNCT
fcis-2071	19	1	the	the	DET
fcis-2071	19	2	control	control	NOUN
fcis-2071	19	3	of	of	ADP
fcis-2071	19	4	moisture	moisture	NOUN
fcis-2071	19	5	content	content	NOUN
fcis-2071	19	6	is	be	AUX
fcis-2071	19	7	one	one	NUM
fcis-2071	19	8	of	of	ADP
fcis-2071	19	9	the	the	DET
fcis-2071	19	10	main	main	ADJ
fcis-2071	19	11	evaluation	evaluation	NOUN
fcis-2071	19	12	indicators	indicator	NOUN
fcis-2071	19	13	of	of	ADP
fcis-2071	19	14	black	black	ADJ
fcis-2071	19	15	tea	tea	NOUN
fcis-2071	19	16	tailing	tailing	NOUN
fcis-2071	19	17	.	.	PUNCT
fcis-2071	20	1	therefore	therefore	ADV
fcis-2071	20	2	,	,	PUNCT
fcis-2071	20	3	measuring	measure	VERB
fcis-2071	20	4	the	the	DET
fcis-2071	20	5	moisture	moisture	NOUN
fcis-2071	20	6	content	content	NOUN
fcis-2071	20	7	of	of	ADP
fcis-2071	20	8	tea	tea	NOUN
fcis-2071	20	9	leaves	leave	NOUN
fcis-2071	20	10	can	can	AUX
fcis-2071	20	11	not	not	PART
fcis-2071	20	12	only	only	ADV
fcis-2071	20	13	understand	understand	VERB
fcis-2071	20	14	the	the	DET
fcis-2071	20	15	degree	degree	NOUN
fcis-2071	20	16	of	of	ADP
fcis-2071	20	17	end	end	NOUN
fcis-2071	20	18	fading	fade	VERB
fcis-2071	20	19	to	to	ADP
fcis-2071	20	20	a	a	DET
fcis-2071	20	21	certain	certain	ADJ
fcis-2071	20	22	extent	extent	NOUN
fcis-2071	20	23	but	but	CCONJ
fcis-2071	20	24	also	also	ADV
fcis-2071	20	25	control	control	VERB
fcis-2071	20	26	the	the	DET
fcis-2071	20	27	processing	processing	NOUN
fcis-2071	20	28	process	process	NOUN
fcis-2071	20	29	of	of	ADP
fcis-2071	20	30	tea	tea	NOUN
fcis-2071	20	31	leaves	leave	NOUN
fcis-2071	20	32	to	to	PART
fcis-2071	20	33	ensure	ensure	VERB
fcis-2071	20	34	the	the	DET
fcis-2071	20	35	quality	quality	NOUN
fcis-2071	20	36	of	of	ADP
fcis-2071	20	37	tea	tea	NOUN
fcis-2071	20	38	leaves	leave	NOUN
fcis-2071	20	39	and	and	CCONJ
fcis-2071	20	40	avoid	avoid	VERB
fcis-2071	20	41	mold	mold	NOUN
fcis-2071	20	42	in	in	ADP
fcis-2071	20	43	the	the	DET
fcis-2071	20	44	storage	storage	NOUN
fcis-2071	20	45	process	process	NOUN
fcis-2071	20	46	[	[	X
fcis-2071	20	47	4	4	NUM
fcis-2071	20	48	]	]	PUNCT
fcis-2071	20	49	.	.	PUNCT
fcis-2071	21	1	the	the	DET
fcis-2071	21	2	traditional	traditional	ADJ
fcis-2071	21	3	method	method	NOUN
fcis-2071	21	4	of	of	ADP
fcis-2071	21	5	tea	tea	NOUN
fcis-2071	21	6	testing	testing	NOUN
fcis-2071	21	7	involves	involve	VERB
fcis-2071	21	8	picking	pick	VERB
fcis-2071	21	9	tea	tea	NOUN
fcis-2071	21	10	leaves	leave	NOUN
fcis-2071	21	11	and	and	CCONJ
fcis-2071	21	12	bringing	bring	VERB
fcis-2071	21	13	them	they	PRON
fcis-2071	21	14	back	back	ADV
fcis-2071	21	15	to	to	ADP
fcis-2071	21	16	the	the	DET
fcis-2071	21	17	lab	lab	NOUN
fcis-2071	21	18	for	for	ADP
fcis-2071	21	19	chemical	chemical	NOUN
fcis-2071	21	20	testing	testing	NOUN
fcis-2071	21	21	.	.	PUNCT
fcis-2071	22	1	the	the	DET
fcis-2071	22	2	process	process	NOUN
fcis-2071	22	3	is	be	AUX
fcis-2071	22	4	time	time	NOUN
fcis-2071	22	5	-	-	PUNCT
fcis-2071	22	6	consuming	consume	VERB
fcis-2071	22	7	and	and	CCONJ
fcis-2071	22	8	complicated	complicated	ADJ
fcis-2071	22	9	[	[	X
fcis-2071	22	10	5	5	NUM
fcis-2071	22	11	]	]	PUNCT
fcis-2071	22	12	.	.	PUNCT
fcis-2071	23	1	zhao	zhao	PROPN
fcis-2071	23	2	et	et	PROPN
fcis-2071	23	3	al	al	PROPN
fcis-2071	23	4	.	.	PROPN
fcis-2071	23	5	proposed	propose	VERB
fcis-2071	23	6	a	a	DET
fcis-2071	23	7	new	new	ADJ
fcis-2071	23	8	method	method	NOUN
fcis-2071	23	9	for	for	ADP
fcis-2071	23	10	the	the	DET
fcis-2071	23	11	rapid	rapid	ADJ
fcis-2071	23	12	detection	detection	NOUN
fcis-2071	23	13	of	of	ADP
fcis-2071	23	14	significant	significant	ADJ
fcis-2071	23	15	catechins	catechin	NOUN
fcis-2071	23	16	in	in	ADP
fcis-2071	23	17	tea	tea	NOUN
fcis-2071	23	18	by	by	ADP
fcis-2071	23	19	applying	apply	VERB
fcis-2071	23	20	fourier	fourier	NOUN
fcis-2071	23	21	near	near	ADV
fcis-2071	23	22	-	-	PUNCT
fcis-2071	23	23	infrared	infrared	ADJ
fcis-2071	23	24	diffuse	diffuse	NOUN
fcis-2071	23	25	reflectance	reflectance	NOUN
fcis-2071	23	26	spectroscopy	spectroscopy	VERB
fcis-2071	23	27	analysis	analysis	NOUN
fcis-2071	23	28	using	use	VERB
fcis-2071	23	29	infrared	infrared	ADJ
fcis-2071	23	30	spectroscopy	spectroscopy	NOUN
fcis-2071	23	31	for	for	ADP
fcis-2071	23	32	the	the	DET
fcis-2071	23	33	rapid	rapid	ADJ
fcis-2071	23	34	detection	detection	NOUN
fcis-2071	23	35	of	of	ADP
fcis-2071	23	36	catechins	catechin	NOUN
fcis-2071	23	37	in	in	ADP
fcis-2071	23	38	green	green	ADJ
fcis-2071	23	39	tea	tea	NOUN
fcis-2071	24	1	[	[	X
fcis-2071	24	2	6	6	NUM
fcis-2071	24	3	]	]	PUNCT
fcis-2071	24	4	.	.	PUNCT
fcis-2071	25	1	zhou	zhou	PROPN
fcis-2071	25	2	et	et	PROPN
fcis-2071	25	3	al	al	PROPN
fcis-2071	25	4	.	.	PROPN
fcis-2071	25	5	conducted	conduct	VERB
fcis-2071	25	6	a	a	DET
fcis-2071	25	7	study	study	NOUN
fcis-2071	25	8	on	on	ADP
fcis-2071	25	9	the	the	DET
fcis-2071	25	10	quality	quality	NOUN
fcis-2071	25	11	evaluation	evaluation	NOUN
fcis-2071	25	12	of	of	ADP
fcis-2071	25	13	dafo	dafo	NOUN
fcis-2071	25	14	longjing	longje	VERB
fcis-2071	25	15	tea	tea	NOUN
fcis-2071	25	16	based	base	VERB
fcis-2071	25	17	on	on	ADP
fcis-2071	25	18	nir	nir	ADJ
fcis-2071	25	19	spectroscopy	spectroscopy	NOUN
fcis-2071	25	20	.	.	PUNCT
fcis-2071	26	1	using	use	VERB
fcis-2071	26	2	dafo	dafo	NOUN
fcis-2071	26	3	longjing	longjing	NOUN
fcis-2071	26	4	as	as	ADP
fcis-2071	26	5	the	the	DET
fcis-2071	26	6	analysis	analysis	NOUN
fcis-2071	26	7	object	object	NOUN
fcis-2071	26	8	,	,	PUNCT
fcis-2071	26	9	seven	seven	NUM
fcis-2071	26	10	quantitative	quantitative	ADJ
fcis-2071	26	11	analysis	analysis	NOUN
fcis-2071	26	12	models	model	NOUN
fcis-2071	26	13	were	be	AUX
fcis-2071	26	14	established	establish	VERB
fcis-2071	26	15	for	for	ADP
fcis-2071	26	16	the	the	DET
fcis-2071	26	17	single	single	ADJ
fcis-2071	26	18	factor	factor	NOUN
fcis-2071	26	19	scores	score	NOUN
fcis-2071	26	20	of	of	ADP
fcis-2071	26	21	dry	dry	ADJ
fcis-2071	26	22	tea	tea	NOUN
fcis-2071	26	23	color	color	NOUN
fcis-2071	26	24	,	,	PUNCT
fcis-2071	26	25	soup	soup	NOUN
fcis-2071	26	26	color	color	NOUN
fcis-2071	26	27	,	,	PUNCT
fcis-2071	26	28	aroma	aroma	NOUN
fcis-2071	26	29	,	,	PUNCT
fcis-2071	26	30	leaf	leaf	NOUN
fcis-2071	26	31	base	base	NOUN
fcis-2071	26	32	,	,	PUNCT
fcis-2071	26	33	and	and	CCONJ
fcis-2071	26	34	the	the	DET
fcis-2071	26	35	total	total	ADJ
fcis-2071	26	36	scores	score	NOUN
fcis-2071	26	37	of	of	ADP
fcis-2071	26	38	physical	physical	ADJ
fcis-2071	26	39	silvers	silver	NOUN
fcis-2071	26	40	and	and	CCONJ
fcis-2071	26	41	six	six	NUM
fcis-2071	26	42	factors	factor	NOUN
fcis-2071	26	43	,	,	PUNCT
fcis-2071	26	44	respectively	respectively	ADV
fcis-2071	26	45	,	,	PUNCT
fcis-2071	26	46	using	use	VERB
fcis-2071	26	47	the	the	DET
fcis-2071	26	48	partial	partial	ADJ
fcis-2071	26	49	least	least	ADJ
fcis-2071	26	50	squares	square	NOUN
fcis-2071	26	51	method	method	NOUN
fcis-2071	26	52	of	of	ADP
fcis-2071	26	53	nir	nir	ADJ
fcis-2071	26	54	spectroscopy	spectroscopy	NOUN
fcis-2071	26	55	.	.	PUNCT
fcis-2071	27	1	the	the	DET
fcis-2071	27	2	results	result	NOUN
fcis-2071	27	3	showed	show	VERB
fcis-2071	27	4	that	that	SCONJ
fcis-2071	27	5	it	it	PRON
fcis-2071	27	6	is	be	AUX
fcis-2071	27	7	feasible	feasible	ADJ
fcis-2071	27	8	to	to	PART
fcis-2071	27	9	apply	apply	VERB
fcis-2071	27	10	nir	nir	ADJ
fcis-2071	27	11	spectroscopy	spectroscopy	NOUN
fcis-2071	27	12	for	for	ADP
fcis-2071	27	13	the	the	DET
fcis-2071	27	14	quality	quality	NOUN
fcis-2071	27	15	evaluation	evaluation	NOUN
fcis-2071	27	16	of	of	ADP
fcis-2071	27	17	dafo	dafo	NOUN
fcis-2071	27	18	longjing	longje	VERB
fcis-2071	27	19	tea	tea	NOUN
fcis-2071	28	1	[	[	X
fcis-2071	28	2	7	7	NUM
fcis-2071	28	3	]	]	PUNCT
fcis-2071	28	4	.	.	PUNCT
fcis-2071	29	1	chen	chen	PROPN
fcis-2071	29	2	xiaojing	xiaojing	PROPN
fcis-2071	29	3	et	et	PROPN
fcis-2071	29	4	al	al	PROPN
fcis-2071	29	5	.	.	PROPN
fcis-2071	29	6	proposed	propose	VERB
fcis-2071	29	7	a	a	DET
fcis-2071	29	8	new	new	ADJ
fcis-2071	29	9	method	method	NOUN
fcis-2071	29	10	for	for	ADP
fcis-2071	29	11	tea	tea	NOUN
fcis-2071	29	12	classification	classification	NOUN
fcis-2071	29	13	using	use	VERB
fcis-2071	29	14	color	color	NOUN
fcis-2071	29	15	features	feature	NOUN
fcis-2071	29	16	of	of	ADP
fcis-2071	29	17	multispectral	multispectral	ADJ
fcis-2071	29	18	images	image	NOUN
fcis-2071	29	19	to	to	PART
fcis-2071	29	20	classify	classify	VERB
fcis-2071	29	21	two	two	NUM
fcis-2071	29	22	kinds	kind	NOUN
fcis-2071	29	23	of	of	ADP
fcis-2071	29	24	tea	tea	NOUN
fcis-2071	29	25	leaves	leave	VERB
fcis-2071	29	26	that	that	SCONJ
fcis-2071	29	27	the	the	DET
fcis-2071	29	28	naked	naked	ADJ
fcis-2071	29	29	eye	eye	NOUN
fcis-2071	29	30	could	could	AUX
fcis-2071	29	31	barely	barely	ADV
fcis-2071	29	32	distinguish	distinguish	VERB
fcis-2071	29	33	.	.	PUNCT
fcis-2071	30	1	wu	wu	PROPN
fcis-2071	30	2	et	et	PROPN
fcis-2071	30	3	al	al	PROPN
fcis-2071	30	4	.	.	PROPN
fcis-2071	30	5	conducted	conduct	VERB
fcis-2071	30	6	a	a	DET
fcis-2071	30	7	study	study	NOUN
fcis-2071	30	8	on	on	ADP
fcis-2071	30	9	tea	tea	NOUN
fcis-2071	30	10	water	water	NOUN
fcis-2071	30	11	content	content	NOUN
fcis-2071	30	12	and	and	CCONJ
fcis-2071	30	13	established	establish	VERB
fcis-2071	30	14	a	a	DET
fcis-2071	30	15	regression	regression	NOUN
fcis-2071	30	16	detection	detection	NOUN
fcis-2071	30	17	model	model	NOUN
fcis-2071	30	18	for	for	ADP
fcis-2071	30	19	tea	tea	NOUN
fcis-2071	30	20	water	water	NOUN
fcis-2071	30	21	content	content	NOUN
fcis-2071	30	22	with	with	ADP
fcis-2071	30	23	a	a	DET
fcis-2071	30	24	correlation	correlation	NOUN
fcis-2071	30	25	coefficient	coefficient	NOUN
fcis-2071	30	26	of	of	ADP
fcis-2071	30	27	0.79	0.79	NUM
fcis-2071	30	28	in	in	ADP
fcis-2071	30	29	the	the	DET
fcis-2071	30	30	experimental	experimental	ADJ
fcis-2071	30	31	test	test	NOUN
fcis-2071	31	1	[	[	X
fcis-2071	31	2	8	8	NUM
fcis-2071	31	3	]	]	PUNCT
fcis-2071	31	4	.	.	PUNCT
fcis-2071	32	1	however	however	ADV
fcis-2071	32	2	,	,	PUNCT
fcis-2071	32	3	in	in	ADP
fcis-2071	32	4	terms	term	NOUN
fcis-2071	32	5	of	of	ADP
fcis-2071	32	6	nondestructive	nondestructive	ADJ
fcis-2071	32	7	detection	detection	NOUN
fcis-2071	32	8	of	of	ADP
fcis-2071	32	9	water	water	NOUN
fcis-2071	32	10	content	content	NOUN
fcis-2071	32	11	in	in	ADP
fcis-2071	32	12	the	the	DET
fcis-2071	32	13	tail	tail	NOUN
fcis-2071	32	14	withering	wither	VERB
fcis-2071	32	15	process	process	NOUN
fcis-2071	32	16	of	of	ADP
fcis-2071	32	17	black	black	ADJ
fcis-2071	32	18	tea	tea	NOUN
fcis-2071	32	19	,	,	PUNCT
fcis-2071	32	20	less	less	ADJ
fcis-2071	32	21	research	research	NOUN
fcis-2071	32	22	has	have	AUX
fcis-2071	32	23	been	be	AUX
fcis-2071	32	24	carried	carry	VERB
fcis-2071	32	25	out	out	ADP
fcis-2071	32	26	in	in	ADP
fcis-2071	32	27	china	china	PROPN
fcis-2071	32	28	,	,	PUNCT
fcis-2071	32	29	and	and	CCONJ
fcis-2071	32	30	the	the	DET
fcis-2071	32	31	use	use	NOUN
fcis-2071	32	32	of	of	ADP
fcis-2071	32	33	hyperspectral	hyperspectral	ADJ
fcis-2071	32	34	detection	detection	NOUN
fcis-2071	32	35	of	of	ADP
fcis-2071	32	36	water	water	NOUN
fcis-2071	32	37	content	content	NOUN
fcis-2071	32	38	has	have	AUX
fcis-2071	32	39	not	not	PART
fcis-2071	32	40	been	be	AUX
fcis-2071	32	41	carried	carry	VERB
fcis-2071	32	42	out	out	ADP
fcis-2071	33	1	[	[	PUNCT
fcis-2071	33	2	9	9	NUM
fcis-2071	33	3	-	-	SYM
fcis-2071	33	4	10	10	NUM
fcis-2071	33	5	]	]	PUNCT
fcis-2071	33	6	.	.	PUNCT
fcis-2071	34	1	in	in	ADP
fcis-2071	34	2	this	this	DET
fcis-2071	34	3	study	study	NOUN
fcis-2071	34	4	,	,	PUNCT
fcis-2071	34	5	on	on	ADP
fcis-2071	34	6	the	the	DET
fcis-2071	34	7	basis	basis	NOUN
fcis-2071	34	8	of	of	ADP
fcis-2071	34	9	another	another	DET
fcis-2071	34	10	nondestructive	nondestructive	ADJ
fcis-2071	34	11	testing	testing	NOUN
fcis-2071	34	12	,	,	PUNCT
fcis-2071	34	13	we	we	PRON
fcis-2071	34	14	conducted	conduct	VERB
fcis-2071	34	15	a	a	DET
fcis-2071	34	16	survey	survey	NOUN
fcis-2071	34	17	of	of	ADP
fcis-2071	34	18	the	the	DET
fcis-2071	34	19	nondestructive	nondestructive	ADJ
fcis-2071	34	20	testing	testing	NOUN
fcis-2071	34	21	of	of	ADP
fcis-2071	34	22	leaf	leaf	NOUN
fcis-2071	34	23	water	water	NOUN
fcis-2071	34	24	content	content	NOUN
fcis-2071	34	25	during	during	ADP
fcis-2071	34	26	the	the	DET
fcis-2071	34	27	tailing	tail	VERB
fcis-2071	34	28	process	process	NOUN
fcis-2071	34	29	of	of	ADP
fcis-2071	34	30	black	black	ADJ
fcis-2071	34	31	tea	tea	NOUN
fcis-2071	34	32	,	,	PUNCT
fcis-2071	34	33	demonstrating	demonstrate	VERB
fcis-2071	34	34	the	the	DET
fcis-2071	34	35	feasibility	feasibility	NOUN
fcis-2071	34	36	of	of	ADP
fcis-2071	34	37	hyperspectral	hyperspectral	ADJ
fcis-2071	34	38	testing	testing	NOUN
fcis-2071	34	39	of	of	ADP
fcis-2071	34	40	tea	tea	NOUN
fcis-2071	34	41	water	water	NOUN
fcis-2071	34	42	content	content	NOUN
fcis-2071	34	43	,	,	PUNCT
fcis-2071	34	44	and	and	CCONJ
fcis-2071	34	45	proposed	propose	VERB
fcis-2071	34	46	a	a	DET
fcis-2071	34	47	classification	classification	NOUN
fcis-2071	34	48	testing	testing	NOUN
fcis-2071	34	49	model	model	NOUN
fcis-2071	34	50	.	.	PUNCT
fcis-2071	35	1	the	the	DET
fcis-2071	35	2	classification	classification	NOUN
fcis-2071	35	3	modeling	modeling	NOUN
fcis-2071	35	4	of	of	ADP
fcis-2071	35	5	the	the	DET
fcis-2071	35	6	water	water	NOUN
fcis-2071	35	7	content	content	NOUN
fcis-2071	35	8	of	of	ADP
fcis-2071	35	9	black	black	ADJ
fcis-2071	35	10	tea	tea	NOUN
fcis-2071	35	11	during	during	ADP
fcis-2071	35	12	the	the	DET
fcis-2071	35	13	end	end	NOUN
fcis-2071	35	14	-	-	PUNCT
fcis-2071	35	15	withering	wither	VERB
fcis-2071	35	16	process	process	NOUN
fcis-2071	35	17	is	be	AUX
fcis-2071	35	18	carried	carry	VERB
fcis-2071	35	19	out	out	ADP
fcis-2071	35	20	by	by	ADP
fcis-2071	35	21	hyperspectral	hyperspectral	ADJ
fcis-2071	35	22	technology	technology	NOUN
fcis-2071	35	23	,	,	PUNCT
fcis-2071	35	24	and	and	CCONJ
fcis-2071	35	25	the	the	DET
fcis-2071	35	26	method	method	NOUN
fcis-2071	35	27	of	of	ADP
fcis-2071	35	28	tea	tea	NOUN
fcis-2071	35	29	water	water	NOUN
fcis-2071	35	30	content	content	NOUN
fcis-2071	35	31	classification	classification	NOUN
fcis-2071	35	32	detection	detection	NOUN
fcis-2071	35	33	based	base	VERB
fcis-2071	35	34	on	on	ADP
fcis-2071	35	35	hyperspectral	hyperspectral	ADJ
fcis-2071	35	36	technology	technology	NOUN
fcis-2071	35	37	is	be	AUX
fcis-2071	35	38	explored	explore	VERB
fcis-2071	35	39	to	to	PART
fcis-2071	35	40	provide	provide	VERB
fcis-2071	35	41	a	a	DET
fcis-2071	35	42	reference	reference	NOUN
fcis-2071	35	43	basis	basis	NOUN
fcis-2071	35	44	for	for	ADP
fcis-2071	35	45	nondestructive	nondestructive	ADJ
fcis-2071	35	46	testing	testing	NOUN
fcis-2071	35	47	of	of	ADP
fcis-2071	35	48	tea	tea	NOUN
fcis-2071	35	49	water	water	NOUN
fcis-2071	35	50	content	content	NOUN
fcis-2071	35	51	.	.	PUNCT
fcis-2071	36	1	2	2	X
fcis-2071	36	2	.	.	X
fcis-2071	36	3	materials	material	NOUN
fcis-2071	36	4	and	and	CCONJ
fcis-2071	36	5	methods	method	NOUN
fcis-2071	36	6	2.1	2.1	NUM
fcis-2071	36	7	.	.	PUNCT
fcis-2071	37	1	experimental	experimental	ADJ
fcis-2071	37	2	materials	material	NOUN
fcis-2071	37	3	hyperspectral	hyperspectral	ADJ
fcis-2071	37	4	imaging	imaging	NOUN
fcis-2071	37	5	-	-	PUNCT
fcis-2071	37	6	based	base	VERB
fcis-2071	37	7	water	water	NOUN
fcis-2071	37	8	content	content	NOUN
fcis-2071	37	9	classification	classification	NOUN
fcis-2071	37	10	study	study	NOUN
fcis-2071	37	11	of	of	ADP
fcis-2071	37	12	black	black	ADJ
fcis-2071	37	13	tea	tea	NOUN
fcis-2071	37	14	leaves	leave	NOUN
fcis-2071	37	15	ying	ying	PROPN
fcis-2071	37	16	hong	hong	PROPN
fcis-2071	37	17	ix	ix	PROPN
fcis-2071	37	18	was	be	AUX
fcis-2071	37	19	collected	collect	VERB
fcis-2071	37	20	at	at	ADP
fcis-2071	37	21	ying	ying	PROPN
fcis-2071	37	22	hong	hong	PROPN
fcis-2071	37	23	farmer	farmer	PROPN
fcis-2071	37	24	eco	eco	PROPN
fcis-2071	37	25	-	-	PUNCT
fcis-2071	37	26	farm	farm	PROPN
fcis-2071	37	27	,	,	PUNCT
fcis-2071	37	28	ying	ying	PROPN
fcis-2071	37	29	hong	hong	PROPN
fcis-2071	37	30	town	town	NOUN
fcis-2071	37	31	,	,	PUNCT
fcis-2071	37	32	yingde	yingde	NOUN
fcis-2071	37	33	city	city	NOUN
fcis-2071	37	34	,	,	PUNCT
fcis-2071	37	35	guangdong	guangdong	PROPN
fcis-2071	37	36	,	,	PUNCT
fcis-2071	37	37	china	china	PROPN
fcis-2071	37	38	.	.	PUNCT
fcis-2071	38	1	the	the	DET
fcis-2071	38	2	material	material	NOUN
fcis-2071	38	3	for	for	ADP
fcis-2071	38	4	this	this	DET
fcis-2071	38	5	experiment	experiment	NOUN
fcis-2071	38	6	was	be	AUX
fcis-2071	38	7	compiled	compile	VERB
fcis-2071	38	8	on	on	ADP
fcis-2071	38	9	2022	2022	NUM
fcis-2071	38	10	-	-	SYM
fcis-2071	38	11	06	06	NUM
fcis-2071	38	12	-	-	SYM
fcis-2071	38	13	21	21	NUM
fcis-2071	38	14	,	,	PUNCT
fcis-2071	38	15	5:30	5:30	NUM
fcis-2071	38	16	-	-	SYM
fcis-2071	38	17	7:30	7:30	NUM
fcis-2071	38	18	a.m.	a.m.	ADV
fcis-2071	38	19	,	,	PUNCT
fcis-2071	38	20	in	in	ADP
fcis-2071	38	21	a	a	DET
fcis-2071	38	22	breezy	breezy	ADJ
fcis-2071	38	23	and	and	CCONJ
fcis-2071	38	24	cloudy	cloudy	ADJ
fcis-2071	38	25	climate	climate	NOUN
fcis-2071	38	26	with	with	ADP
fcis-2071	38	27	85	85	NUM
fcis-2071	38	28	%	%	NOUN
fcis-2071	38	29	relative	relative	ADJ
fcis-2071	38	30	humidity	humidity	NOUN
fcis-2071	38	31	and	and	CCONJ
fcis-2071	38	32	33	33	NUM
fcis-2071	38	33	°	°	NOUN
fcis-2071	38	34	temperature	temperature	NOUN
fcis-2071	38	35	.	.	PUNCT
fcis-2071	39	1	tea	tea	NOUN
fcis-2071	39	2	trees	tree	NOUN
fcis-2071	39	3	with	with	ADP
fcis-2071	39	4	good	good	ADJ
fcis-2071	39	5	growth	growth	NOUN
fcis-2071	39	6	conditions	condition	NOUN
fcis-2071	39	7	and	and	CCONJ
fcis-2071	39	8	luxuriant	luxuriant	ADJ
fcis-2071	39	9	branches	branch	NOUN
fcis-2071	39	10	were	be	AUX
fcis-2071	39	11	randomly	randomly	ADV
fcis-2071	39	12	selected	select	VERB
fcis-2071	39	13	during	during	ADP
fcis-2071	39	14	the	the	DET
fcis-2071	39	15	collection	collection	NOUN
fcis-2071	39	16	process	process	NOUN
fcis-2071	39	17	,	,	PUNCT
fcis-2071	39	18	and	and	CCONJ
fcis-2071	39	19	the	the	DET
fcis-2071	39	20	collection	collection	NOUN
fcis-2071	39	21	standard	standard	NOUN
fcis-2071	39	22	was	be	AUX
fcis-2071	39	23	one	one	NUM
fcis-2071	39	24	bud	bud	NOUN
fcis-2071	39	25	and	and	CCONJ
fcis-2071	39	26	one	one	NUM
fcis-2071	39	27	leaf	leaf	NOUN
fcis-2071	39	28	or	or	CCONJ
fcis-2071	39	29	one	one	NUM
fcis-2071	39	30	bud	bud	NOUN
fcis-2071	39	31	and	and	CCONJ
fcis-2071	39	32	two	two	NUM
fcis-2071	39	33	leaves	leave	NOUN
fcis-2071	39	34	.	.	PUNCT
fcis-2071	40	1	2	2	NUM
fcis-2071	40	2	kg	kg	NOUN
fcis-2071	40	3	of	of	ADP
fcis-2071	40	4	samples	sample	NOUN
fcis-2071	40	5	were	be	AUX
fcis-2071	40	6	collected	collect	VERB
fcis-2071	40	7	,	,	PUNCT
fcis-2071	40	8	preserved	preserve	VERB
fcis-2071	40	9	in	in	ADP
fcis-2071	40	10	a	a	DET
fcis-2071	40	11	thermal	thermal	ADJ
fcis-2071	40	12	box	box	NOUN
fcis-2071	40	13	and	and	CCONJ
fcis-2071	40	14	ice	ice	NOUN
fcis-2071	40	15	bag	bag	NOUN
fcis-2071	40	16	,	,	PUNCT
fcis-2071	40	17	and	and	CCONJ
fcis-2071	40	18	immediately	immediately	ADV
fcis-2071	40	19	brought	bring	VERB
fcis-2071	40	20	back	back	ADV
fcis-2071	40	21	to	to	ADP
fcis-2071	40	22	the	the	DET
fcis-2071	40	23	laboratory	laboratory	NOUN
fcis-2071	40	24	for	for	ADP
fcis-2071	40	25	relevant	relevant	ADJ
fcis-2071	40	26	experiments	experiment	NOUN
fcis-2071	40	27	.	.	PUNCT
fcis-2071	41	1	before	before	ADP
fcis-2071	41	2	the	the	DET
fcis-2071	41	3	experiment	experiment	NOUN
fcis-2071	41	4	,	,	PUNCT
fcis-2071	41	5	50	50	NUM
fcis-2071	41	6	fresh	fresh	ADJ
fcis-2071	41	7	leaves	leave	NOUN
fcis-2071	41	8	with	with	ADP
fcis-2071	41	9	uniform	uniform	ADJ
fcis-2071	41	10	leaf	leaf	NOUN
fcis-2071	41	11	size	size	NOUN
fcis-2071	41	12	and	and	CCONJ
fcis-2071	41	13	basically	basically	ADV
fcis-2071	41	14	the	the	DET
fcis-2071	41	15	same	same	ADJ
fcis-2071	41	16	morphology	morphology	NOUN
fcis-2071	41	17	were	be	AUX
fcis-2071	41	18	55	55	NUM
fcis-2071	41	19	selected	select	VERB
fcis-2071	41	20	and	and	CCONJ
fcis-2071	41	21	scanned	scan	VERB
fcis-2071	41	22	spectrally	spectrally	ADV
fcis-2071	41	23	and	and	CCONJ
fcis-2071	41	24	subsequently	subsequently	ADV
fcis-2071	41	25	allowed	allow	VERB
fcis-2071	41	26	to	to	PART
fcis-2071	41	27	undergo	undergo	VERB
fcis-2071	41	28	withering	withering	ADJ
fcis-2071	41	29	tail	tail	NOUN
fcis-2071	41	30	treatment	treatment	NOUN
fcis-2071	41	31	in	in	ADP
fcis-2071	41	32	a	a	DET
fcis-2071	41	33	constant	constant	ADJ
fcis-2071	41	34	temperature	temperature	NOUN
fcis-2071	41	35	and	and	CCONJ
fcis-2071	41	36	humidity	humidity	NOUN
fcis-2071	41	37	chamber	chamber	NOUN
fcis-2071	41	38	with	with	ADP
fcis-2071	41	39	a	a	DET
fcis-2071	41	40	temperature	temperature	NOUN
fcis-2071	41	41	setting	setting	NOUN
fcis-2071	41	42	of	of	ADP
fcis-2071	41	43	25	25	NUM
fcis-2071	41	44	°	°	NOUN
fcis-2071	41	45	and	and	CCONJ
fcis-2071	41	46	relative	relative	ADJ
fcis-2071	41	47	humidity	humidity	NOUN
fcis-2071	41	48	of	of	ADP
fcis-2071	41	49	90	90	NUM
fcis-2071	41	50	%	%	NOUN
fcis-2071	41	51	,	,	PUNCT
fcis-2071	41	52	and	and	CCONJ
fcis-2071	41	53	the	the	DET
fcis-2071	41	54	spectral	spectral	ADJ
fcis-2071	41	55	information	information	NOUN
fcis-2071	41	56	was	be	AUX
fcis-2071	41	57	subsequently	subsequently	ADV
fcis-2071	41	58	collected	collect	VERB
fcis-2071	41	59	at	at	ADP
fcis-2071	41	60	an	an	DET
fcis-2071	41	61	interval	interval	NOUN
fcis-2071	41	62	of	of	ADP
fcis-2071	41	63	one	one	NUM
fcis-2071	41	64	hour	hour	NOUN
fcis-2071	41	65	.	.	PUNCT
fcis-2071	42	1	thus	thus	ADV
fcis-2071	42	2	,	,	PUNCT
fcis-2071	42	3	a	a	DET
fcis-2071	42	4	total	total	NOUN
fcis-2071	42	5	of	of	ADP
fcis-2071	42	6	200	200	NUM
fcis-2071	42	7	spectral	spectral	ADJ
fcis-2071	42	8	data	datum	NOUN
fcis-2071	42	9	were	be	AUX
fcis-2071	42	10	obtained	obtain	VERB
fcis-2071	42	11	for	for	ADP
fcis-2071	42	12	four	four	NUM
fcis-2071	42	13	-	-	PUNCT
fcis-2071	42	14	time	time	NOUN
fcis-2071	42	15	intervals	interval	NOUN
fcis-2071	42	16	.	.	PUNCT
fcis-2071	43	1	2.2	2.2	NUM
fcis-2071	43	2	.	.	PUNCT
fcis-2071	43	3	experimental	experimental	ADJ
fcis-2071	43	4	equipment	equipment	NOUN
fcis-2071	43	5	the	the	DET
fcis-2071	43	6	experiment	experiment	NOUN
fcis-2071	43	7	uses	use	VERB
fcis-2071	43	8	a	a	DET
fcis-2071	43	9	gaiafield	gaiafield	VERB
fcis-2071	43	10	-	-	PUNCT
fcis-2071	43	11	v10e	v10e	NOUN
fcis-2071	43	12	hyperspectral	hyperspectral	ADJ
fcis-2071	43	13	device	device	NOUN
fcis-2071	43	14	,	,	PUNCT
fcis-2071	43	15	which	which	PRON
fcis-2071	43	16	contains	contain	VERB
fcis-2071	43	17	three	three	NUM
fcis-2071	43	18	parts	part	NOUN
fcis-2071	43	19	:	:	PUNCT
fcis-2071	43	20	image	image	NOUN
fcis-2071	43	21	acquisition	acquisition	NOUN
fcis-2071	43	22	unit	unit	NOUN
fcis-2071	43	23	,	,	PUNCT
fcis-2071	43	24	light	light	ADJ
fcis-2071	43	25	source	source	NOUN
fcis-2071	43	26	,	,	PUNCT
fcis-2071	43	27	and	and	CCONJ
fcis-2071	43	28	sample	sample	NOUN
fcis-2071	43	29	delivery	delivery	NOUN
fcis-2071	43	30	platform	platform	NOUN
fcis-2071	43	31	,	,	PUNCT
fcis-2071	43	32	among	among	ADP
fcis-2071	43	33	which	which	PRON
fcis-2071	43	34	the	the	DET
fcis-2071	43	35	image	image	NOUN
fcis-2071	43	36	acquisition	acquisition	NOUN
fcis-2071	43	37	unit	unit	NOUN
fcis-2071	43	38	consists	consist	VERB
fcis-2071	43	39	of	of	ADP
fcis-2071	43	40	an	an	DET
fcis-2071	43	41	image	image	NOUN
fcis-2071	43	42	spectrometer	spectrometer	NOUN
fcis-2071	43	43	ccd	ccd	PROPN
fcis-2071	43	44	camera	camera	NOUN
fcis-2071	43	45	,	,	PUNCT
fcis-2071	43	46	and	and	CCONJ
fcis-2071	43	47	lens	len	NOUN
fcis-2071	43	48	,	,	PUNCT
fcis-2071	43	49	etc	etc	X
fcis-2071	43	50	.	.	X
fcis-2071	44	1	the	the	DET
fcis-2071	44	2	spectral	spectral	ADJ
fcis-2071	44	3	range	range	NOUN
fcis-2071	44	4	of	of	ADP
fcis-2071	44	5	the	the	DET
fcis-2071	44	6	device	device	NOUN
fcis-2071	44	7	's	's	PART
fcis-2071	44	8	light	light	ADJ
fcis-2071	44	9	source	source	NOUN
fcis-2071	44	10	is	be	AUX
fcis-2071	44	11	400	400	NUM
fcis-2071	44	12	-	-	SYM
fcis-2071	44	13	1000	1000	NUM
fcis-2071	44	14	nm	nm	NOUN
fcis-2071	44	15	,	,	PUNCT
fcis-2071	44	16	with	with	ADP
fcis-2071	44	17	a	a	DET
fcis-2071	44	18	spectral	spectral	ADJ
fcis-2071	44	19	resolution	resolution	NOUN
fcis-2071	44	20	of	of	ADP
fcis-2071	44	21	2.8	2.8	NUM
fcis-2071	44	22	nm	nm	NOUN
fcis-2071	44	23	,	,	PUNCT
fcis-2071	44	24	containing	contain	VERB
fcis-2071	44	25	a	a	DET
fcis-2071	44	26	total	total	NOUN
fcis-2071	44	27	of	of	ADP
fcis-2071	44	28	360	360	NUM
fcis-2071	44	29	bands	band	NOUN
fcis-2071	44	30	.	.	PUNCT
fcis-2071	45	1	2.3	2.3	NUM
fcis-2071	45	2	.	.	PUNCT
fcis-2071	46	1	sample	sample	NOUN
fcis-2071	46	2	acquisition	acquisition	NOUN
fcis-2071	46	3	based	base	VERB
fcis-2071	46	4	on	on	ADP
fcis-2071	46	5	the	the	DET
fcis-2071	46	6	size	size	NOUN
fcis-2071	46	7	of	of	ADP
fcis-2071	46	8	the	the	DET
fcis-2071	46	9	images	image	NOUN
fcis-2071	46	10	that	that	PRON
fcis-2071	46	11	can	can	AUX
fcis-2071	46	12	be	be	AUX
fcis-2071	46	13	acquired	acquire	VERB
fcis-2071	46	14	by	by	ADP
fcis-2071	46	15	the	the	DET
fcis-2071	46	16	system	system	NOUN
fcis-2071	46	17	,	,	PUNCT
fcis-2071	46	18	it	it	PRON
fcis-2071	46	19	was	be	AUX
fcis-2071	46	20	decided	decide	VERB
fcis-2071	46	21	to	to	PART
fcis-2071	46	22	acquire	acquire	VERB
fcis-2071	46	23	ten	ten	NUM
fcis-2071	46	24	samples	sample	NOUN
fcis-2071	46	25	per	per	ADP
fcis-2071	46	26	image	image	NOUN
fcis-2071	46	27	,	,	PUNCT
fcis-2071	46	28	and	and	CCONJ
fcis-2071	46	29	a	a	DET
fcis-2071	46	30	total	total	NOUN
fcis-2071	46	31	of	of	ADP
fcis-2071	46	32	5	5	NUM
fcis-2071	46	33	images	image	NOUN
fcis-2071	46	34	were	be	AUX
fcis-2071	46	35	acquired	acquire	VERB
fcis-2071	46	36	.	.	PUNCT
fcis-2071	47	1	the	the	DET
fcis-2071	47	2	initial	initial	ADJ
fcis-2071	47	3	values	value	NOUN
fcis-2071	47	4	of	of	ADP
fcis-2071	47	5	the	the	DET
fcis-2071	47	6	system	system	NOUN
fcis-2071	47	7	were	be	AUX
fcis-2071	47	8	set	set	VERB
fcis-2071	47	9	to	to	ADP
fcis-2071	47	10	150	150	NUM
fcis-2071	47	11	ms	ms	NOUN
fcis-2071	47	12	exposure	exposure	NOUN
fcis-2071	47	13	time	time	NOUN
fcis-2071	47	14	and	and	CCONJ
fcis-2071	47	15	25	25	NUM
fcis-2071	47	16	cm	cm	NOUN
fcis-2071	47	17	object	object	NOUN
fcis-2071	47	18	distance	distance	NOUN
fcis-2071	47	19	without	without	ADP
fcis-2071	47	20	distortion	distortion	NOUN
fcis-2071	47	21	,	,	PUNCT
fcis-2071	47	22	and	and	CCONJ
fcis-2071	47	23	the	the	DET
fcis-2071	47	24	samples	sample	NOUN
fcis-2071	47	25	were	be	AUX
fcis-2071	47	26	placed	place	VERB
fcis-2071	47	27	on	on	ADP
fcis-2071	47	28	a	a	DET
fcis-2071	47	29	30	30	NUM
fcis-2071	47	30	cm	cm	NOUN
fcis-2071	47	31	×	×	NOUN
fcis-2071	47	32	30	30	NUM
fcis-2071	47	33	cm	cm	NOUN
fcis-2071	47	34	black	black	ADJ
fcis-2071	47	35	background	background	NOUN
fcis-2071	47	36	according	accord	VERB
fcis-2071	47	37	to	to	ADP
fcis-2071	47	38	the	the	DET
fcis-2071	47	39	principle	principle	NOUN
fcis-2071	47	40	that	that	SCONJ
fcis-2071	47	41	different	different	ADJ
fcis-2071	47	42	colors	color	NOUN
fcis-2071	47	43	absorb	absorb	VERB
fcis-2071	47	44	light	light	NOUN
fcis-2071	47	45	differently	differently	ADV
fcis-2071	47	46	to	to	PART
fcis-2071	47	47	reduce	reduce	VERB
fcis-2071	47	48	the	the	DET
fcis-2071	47	49	effect	effect	NOUN
fcis-2071	47	50	of	of	ADP
fcis-2071	47	51	the	the	DET
fcis-2071	47	52	background	background	NOUN
fcis-2071	47	53	.	.	PUNCT
fcis-2071	48	1	in	in	ADP
fcis-2071	48	2	order	order	NOUN
fcis-2071	48	3	to	to	PART
fcis-2071	48	4	reduce	reduce	VERB
fcis-2071	48	5	the	the	DET
fcis-2071	48	6	interference	interference	NOUN
fcis-2071	48	7	of	of	ADP
fcis-2071	48	8	the	the	DET
fcis-2071	48	9	light	light	ADJ
fcis-2071	48	10	source	source	NOUN
fcis-2071	48	11	caused	cause	VERB
fcis-2071	48	12	by	by	ADP
fcis-2071	48	13	the	the	DET
fcis-2071	48	14	temperature	temperature	NOUN
fcis-2071	48	15	during	during	ADP
fcis-2071	48	16	the	the	DET
fcis-2071	48	17	experiment	experiment	NOUN
fcis-2071	48	18	,	,	PUNCT
fcis-2071	48	19	one	one	NUM
fcis-2071	48	20	all	all	ADV
fcis-2071	48	21	-	-	PUNCT
fcis-2071	48	22	black	black	ADJ
fcis-2071	48	23	calibration	calibration	NOUN
fcis-2071	48	24	image	image	NOUN
fcis-2071	48	25	and	and	CCONJ
fcis-2071	48	26	one	one	NUM
fcis-2071	48	27	all	all	ADV
fcis-2071	48	28	-	-	PUNCT
fcis-2071	48	29	white	white	ADJ
fcis-2071	48	30	calibration	calibration	NOUN
fcis-2071	48	31	image	image	NOUN
fcis-2071	48	32	were	be	AUX
fcis-2071	48	33	acquired	acquire	VERB
fcis-2071	48	34	for	for	ADP
fcis-2071	48	35	every	every	DET
fcis-2071	48	36	image	image	NOUN
fcis-2071	48	37	in	in	ADP
fcis-2071	48	38	the	the	DET
fcis-2071	48	39	experiment	experiment	NOUN
fcis-2071	48	40	.	.	PUNCT
fcis-2071	49	1	3	3	X
fcis-2071	49	2	.	.	X
fcis-2071	49	3	data	datum	NOUN
fcis-2071	49	4	processing	processing	NOUN
fcis-2071	49	5	and	and	CCONJ
fcis-2071	49	6	classification	classification	NOUN
fcis-2071	49	7	algorithm	algorithm	NOUN
fcis-2071	49	8	3.1	3.1	NUM
fcis-2071	49	9	.	.	PUNCT
fcis-2071	49	10	spectral	spectral	ADJ
fcis-2071	49	11	image	image	NOUN
fcis-2071	49	12	correction	correction	NOUN
fcis-2071	49	13	in	in	ADP
fcis-2071	49	14	order	order	NOUN
fcis-2071	49	15	to	to	PART
fcis-2071	49	16	reduce	reduce	VERB
fcis-2071	49	17	the	the	DET
fcis-2071	49	18	measurement	measurement	NOUN
fcis-2071	49	19	errors	error	NOUN
fcis-2071	49	20	caused	cause	VERB
fcis-2071	49	21	by	by	ADP
fcis-2071	49	22	fluctuations	fluctuation	NOUN
fcis-2071	49	23	of	of	ADP
fcis-2071	49	24	light	light	ADJ
fcis-2071	49	25	sources	source	NOUN
fcis-2071	49	26	and	and	CCONJ
fcis-2071	49	27	the	the	DET
fcis-2071	49	28	quantum	quantum	NOUN
fcis-2071	49	29	efficiency	efficiency	NOUN
fcis-2071	49	30	variability	variability	NOUN
fcis-2071	49	31	of	of	ADP
fcis-2071	49	32	ccd	ccd	NOUN
fcis-2071	49	33	cameras	camera	NOUN
fcis-2071	49	34	at	at	ADP
fcis-2071	49	35	different	different	ADJ
fcis-2071	49	36	wavelengths	wavelength	NOUN
fcis-2071	49	37	,	,	PUNCT
fcis-2071	49	38	the	the	DET
fcis-2071	49	39	hyperspectral	hyperspectral	ADJ
fcis-2071	49	40	images	image	NOUN
fcis-2071	49	41	must	must	AUX
fcis-2071	49	42	be	be	AUX
fcis-2071	49	43	corrected	correct	VERB
fcis-2071	49	44	.	.	PUNCT
fcis-2071	50	1	the	the	DET
fcis-2071	50	2	image	image	NOUN
fcis-2071	50	3	obtained	obtain	VERB
fcis-2071	50	4	by	by	ADP
fcis-2071	50	5	scanning	scan	VERB
fcis-2071	50	6	the	the	DET
fcis-2071	50	7	standard	standard	ADJ
fcis-2071	50	8	whiteboard	whiteboard	NOUN
fcis-2071	50	9	is	be	AUX
fcis-2071	50	10	r.	r.	PROPN
fcis-2071	50	11	then	then	ADV
fcis-2071	50	12	,	,	PUNCT
fcis-2071	50	13	the	the	DET
fcis-2071	50	14	image	image	NOUN
fcis-2071	50	15	is	be	AUX
fcis-2071	50	16	captured	capture	VERB
fcis-2071	50	17	by	by	ADP
fcis-2071	50	18	the	the	DET
fcis-2071	50	19	camera	camera	NOUN
fcis-2071	50	20	with	with	ADP
fcis-2071	50	21	the	the	DET
fcis-2071	50	22	lens	lens	NOUN
fcis-2071	50	23	cover	cover	NOUN
fcis-2071	50	24	,	,	PUNCT
fcis-2071	50	25	and	and	CCONJ
fcis-2071	50	26	the	the	DET
fcis-2071	50	27	all	all	ADV
fcis-2071	50	28	-	-	PUNCT
fcis-2071	50	29	black	black	ADJ
fcis-2071	50	30	image	image	NOUN
fcis-2071	50	31	is	be	AUX
fcis-2071	50	32	scanned	scan	VERB
fcis-2071	50	33	without	without	ADP
fcis-2071	50	34	light	light	ADJ
fcis-2071	50	35	transmission	transmission	NOUN
fcis-2071	50	36	d.	d.	NOUN
fcis-2071	50	37	the	the	DET
fcis-2071	50	38	original	original	ADJ
fcis-2071	50	39	image	image	NOUN
fcis-2071	50	40	is	be	AUX
fcis-2071	50	41	calibrated	calibrate	VERB
fcis-2071	50	42	using	use	VERB
fcis-2071	50	43	the	the	DET
fcis-2071	50	44	whiteboard	whiteboard	NOUN
fcis-2071	50	45	image	image	NOUN
fcis-2071	50	46	and	and	CCONJ
fcis-2071	50	47	the	the	DET
fcis-2071	50	48	allblack	allblack	NOUN
fcis-2071	50	49	image	image	NOUN
fcis-2071	50	50	,	,	PUNCT
fcis-2071	50	51	and	and	CCONJ
fcis-2071	50	52	the	the	DET
fcis-2071	50	53	calibration	calibration	NOUN
fcis-2071	50	54	formula	formula	NOUN
fcis-2071	50	55	can	can	AUX
fcis-2071	50	56	be	be	AUX
fcis-2071	50	57	defined	define	VERB
fcis-2071	50	58	as	as	ADP
fcis-2071	50	59	follow	follow	NOUN
fcis-2071	50	60	:	:	PUNCT
fcis-2071	50	61	dr	dr	PROPN
fcis-2071	50	62	di	di	INTJ
fcis-2071	50	63	i	i	PRON
fcis-2071	50	64	−	−	PROPN
fcis-2071	51	1	−	−	PROPN
fcis-2071	51	2	=	=	SYM
fcis-2071	51	3	0	0	NUM
fcis-2071	51	4	(	(	PUNCT
fcis-2071	51	5	1	1	NUM
fcis-2071	51	6	)	)	PUNCT
fcis-2071	51	7	where	where	SCONJ
fcis-2071	51	8	i	i	PRON
fcis-2071	51	9	is	be	AUX
fcis-2071	51	10	the	the	DET
fcis-2071	51	11	corrected	correct	VERB
fcis-2071	51	12	image	image	NOUN
fcis-2071	51	13	;	;	PUNCT
fcis-2071	51	14	i0	i0	PROPN
fcis-2071	51	15	is	be	AUX
fcis-2071	51	16	the	the	DET
fcis-2071	51	17	original	original	ADJ
fcis-2071	51	18	image	image	NOUN
fcis-2071	51	19	;	;	PUNCT
fcis-2071	51	20	r	r	NOUN
fcis-2071	51	21	is	be	AUX
fcis-2071	51	22	the	the	DET
fcis-2071	51	23	whiteboard	whiteboard	NOUN
fcis-2071	51	24	image	image	NOUN
fcis-2071	51	25	;	;	PUNCT
fcis-2071	51	26	d	d	X
fcis-2071	51	27	is	be	AUX
fcis-2071	51	28	the	the	DET
fcis-2071	51	29	full	full	ADJ
fcis-2071	51	30	black	black	ADJ
fcis-2071	51	31	image	image	NOUN
fcis-2071	51	32	.	.	PUNCT
fcis-2071	52	1	3.2	3.2	NUM
fcis-2071	52	2	.	.	PUNCT
fcis-2071	53	1	spectral	spectral	ADJ
fcis-2071	53	2	feature	feature	NOUN
fcis-2071	53	3	extraction	extraction	NOUN
fcis-2071	53	4	due	due	ADP
fcis-2071	53	5	to	to	ADP
fcis-2071	53	6	the	the	DET
fcis-2071	53	7	huge	huge	ADJ
fcis-2071	53	8	amount	amount	NOUN
fcis-2071	53	9	of	of	ADP
fcis-2071	53	10	data	datum	NOUN
fcis-2071	53	11	contained	contain	VERB
fcis-2071	53	12	in	in	ADP
fcis-2071	53	13	hyperspectral	hyperspectral	ADJ
fcis-2071	53	14	images	image	NOUN
fcis-2071	53	15	and	and	CCONJ
fcis-2071	53	16	the	the	DET
fcis-2071	53	17	huge	huge	ADJ
fcis-2071	53	18	workload	workload	NOUN
fcis-2071	53	19	when	when	SCONJ
fcis-2071	53	20	using	use	VERB
fcis-2071	53	21	professional	professional	ADJ
fcis-2071	53	22	software	software	NOUN
fcis-2071	53	23	for	for	ADP
fcis-2071	53	24	data	data	NOUN
fcis-2071	53	25	extraction	extraction	NOUN
fcis-2071	53	26	,	,	PUNCT
fcis-2071	53	27	this	this	DET
fcis-2071	53	28	thesis	thesis	NOUN
fcis-2071	53	29	uses	use	VERB
fcis-2071	53	30	the	the	DET
fcis-2071	53	31	maximum	maximum	ADJ
fcis-2071	53	32	interclass	interclass	NOUN
fcis-2071	53	33	variance	variance	NOUN
fcis-2071	53	34	algorithm	algorithm	NOUN
fcis-2071	53	35	to	to	PART
fcis-2071	53	36	separate	separate	VERB
fcis-2071	53	37	the	the	DET
fcis-2071	53	38	foreground	foreground	NOUN
fcis-2071	53	39	and	and	CCONJ
fcis-2071	53	40	background	background	NOUN
fcis-2071	53	41	to	to	PART
fcis-2071	53	42	obtain	obtain	VERB
fcis-2071	53	43	a	a	DET
fcis-2071	53	44	binary	binary	ADJ
fcis-2071	53	45	image	image	NOUN
fcis-2071	53	46	and	and	CCONJ
fcis-2071	53	47	then	then	ADV
fcis-2071	53	48	uses	use	VERB
fcis-2071	53	49	the	the	DET
fcis-2071	53	50	mask	mask	NOUN
fcis-2071	53	51	extraction	extraction	NOUN
fcis-2071	53	52	to	to	PART
fcis-2071	53	53	obtain	obtain	VERB
fcis-2071	53	54	the	the	DET
fcis-2071	53	55	roi	roi	NOUN
fcis-2071	53	56	region	region	NOUN
fcis-2071	53	57	,	,	PUNCT
fcis-2071	53	58	and	and	CCONJ
fcis-2071	53	59	uses	use	VERB
fcis-2071	53	60	the	the	DET
fcis-2071	53	61	algorithm	algorithm	NOUN
fcis-2071	53	62	to	to	PART
fcis-2071	53	63	calculate	calculate	VERB
fcis-2071	53	64	the	the	DET
fcis-2071	53	65	average	average	ADJ
fcis-2071	53	66	spectrum	spectrum	NOUN
fcis-2071	53	67	of	of	ADP
fcis-2071	53	68	the	the	DET
fcis-2071	53	69	roi	roi	NOUN
fcis-2071	53	70	region	region	NOUN
fcis-2071	53	71	,	,	PUNCT
fcis-2071	53	72	the	the	DET
fcis-2071	53	73	image	image	NOUN
fcis-2071	53	74	processed	process	VERB
fcis-2071	53	75	by	by	ADP
fcis-2071	53	76	the	the	DET
fcis-2071	53	77	algorithm	algorithm	NOUN
fcis-2071	53	78	is	be	AUX
fcis-2071	53	79	shown	show	VERB
fcis-2071	53	80	in	in	ADP
fcis-2071	53	81	fig.1	fig.1	PROPN
fcis-2071	53	82	.	.	PUNCT
fcis-2071	54	1	fig.2	fig.2	PROPN
fcis-2071	54	2	shows	show	VERB
fcis-2071	54	3	the	the	DET
fcis-2071	54	4	average	average	ADJ
fcis-2071	54	5	spectral	spectral	ADJ
fcis-2071	54	6	curves	curve	NOUN
fcis-2071	54	7	of	of	ADP
fcis-2071	54	8	ying	ying	PROPN
fcis-2071	54	9	hong	hong	PROPN
fcis-2071	54	10	ix	ix	PROPN
fcis-2071	54	11	black	black	ADJ
fcis-2071	54	12	tea	tea	NOUN
fcis-2071	54	13	leaves	leave	NOUN
fcis-2071	54	14	for	for	ADP
fcis-2071	54	15	four	four	NUM
fcis-2071	54	16	-	-	PUNCT
fcis-2071	54	17	time	time	NOUN
fcis-2071	54	18	intervals	interval	NOUN
fcis-2071	54	19	.	.	PUNCT
fcis-2071	55	1	fig	fig	NOUN
fcis-2071	55	2	.	.	PUNCT
fcis-2071	56	1	2	2	NUM
fcis-2071	56	2	shows	show	VERB
fcis-2071	56	3	that	that	SCONJ
fcis-2071	56	4	the	the	DET
fcis-2071	56	5	differences	difference	NOUN
fcis-2071	56	6	of	of	ADP
fcis-2071	56	7	the	the	DET
fcis-2071	56	8	4	4	NUM
fcis-2071	56	9	types	type	NOUN
fcis-2071	56	10	of	of	ADP
fcis-2071	56	11	curves	curve	NOUN
fcis-2071	56	12	are	be	AUX
fcis-2071	56	13	relatively	relatively	ADV
fcis-2071	56	14	obvious	obvious	ADJ
fcis-2071	56	15	and	and	CCONJ
fcis-2071	56	16	possess	possess	VERB
fcis-2071	56	17	differentiability	differentiability	NOUN
fcis-2071	56	18	.	.	PUNCT
fcis-2071	57	1	fig.1	fig.1	PROPN
fcis-2071	57	2	the	the	DET
fcis-2071	57	3	spectral	spectral	ADJ
fcis-2071	57	4	image	image	NOUN
fcis-2071	57	5	processed	process	VERB
fcis-2071	57	6	by	by	ADP
fcis-2071	57	7	the	the	DET
fcis-2071	57	8	algorithm	algorithm	NOUN
fcis-2071	57	9	fig	fig	NOUN
fcis-2071	57	10	.	.	PUNCT
fcis-2071	58	1	2	2	NUM
fcis-2071	58	2	primordial	primordial	ADJ
fcis-2071	58	3	spectrogram	spectrogram	NOUN
fcis-2071	58	4	of	of	ADP
fcis-2071	58	5	red	red	ADJ
fcis-2071	58	6	tea	tea	NOUN
fcis-2071	58	7	3.3	3.3	NUM
fcis-2071	58	8	.	.	PUNCT
fcis-2071	59	1	spectral	spectral	ADJ
fcis-2071	59	2	pre	pre	ADJ
fcis-2071	59	3	-	-	ADJ
fcis-2071	59	4	processing	processing	NOUN
fcis-2071	59	5	when	when	SCONJ
fcis-2071	59	6	the	the	DET
fcis-2071	59	7	hyperspectral	hyperspectral	ADJ
fcis-2071	59	8	camera	camera	NOUN
fcis-2071	59	9	acquires	acquire	VERB
fcis-2071	59	10	spectral	spectral	ADJ
fcis-2071	59	11	data	datum	NOUN
fcis-2071	59	12	,	,	PUNCT
fcis-2071	59	13	the	the	DET
fcis-2071	59	14	acquired	acquire	VERB
fcis-2071	59	15	spectral	spectral	ADJ
fcis-2071	59	16	data	datum	NOUN
fcis-2071	59	17	will	will	AUX
fcis-2071	59	18	have	have	VERB
fcis-2071	59	19	certain	certain	ADJ
fcis-2071	59	20	errors	error	NOUN
fcis-2071	59	21	due	due	ADP
fcis-2071	59	22	to	to	ADP
fcis-2071	59	23	the	the	DET
fcis-2071	59	24	instrumentation	instrumentation	NOUN
fcis-2071	59	25	and	and	CCONJ
fcis-2071	59	26	other	other	ADJ
fcis-2071	59	27	factors	factor	NOUN
fcis-2071	59	28	.	.	PUNCT
fcis-2071	60	1	facing	face	VERB
fcis-2071	60	2	this	this	DET
fcis-2071	60	3	situation	situation	NOUN
fcis-2071	60	4	,	,	PUNCT
fcis-2071	60	5	it	it	PRON
fcis-2071	60	6	is	be	AUX
fcis-2071	60	7	generally	generally	ADV
fcis-2071	60	8	impossible	impossible	ADJ
fcis-2071	60	9	to	to	PART
fcis-2071	60	10	build	build	VERB
fcis-2071	60	11	a	a	DET
fcis-2071	60	12	curve	curve	NOUN
fcis-2071	60	13	model	model	NOUN
fcis-2071	60	14	by	by	ADP
fcis-2071	60	15	traditional	traditional	ADJ
fcis-2071	60	16	methods	method	NOUN
fcis-2071	60	17	,	,	PUNCT
fcis-2071	60	18	so	so	SCONJ
fcis-2071	60	19	this	this	DET
fcis-2071	60	20	thesis	thesis	NOUN
fcis-2071	60	21	adopts	adopt	VERB
fcis-2071	60	22	multiple	multiple	ADJ
fcis-2071	60	23	scattering	scatter	VERB
fcis-2071	60	24	correction	correction	NOUN
fcis-2071	60	25	(	(	PUNCT
fcis-2071	60	26	msc	msc	PROPN
fcis-2071	60	27	)	)	PUNCT
fcis-2071	60	28	for	for	ADP
fcis-2071	60	29	spectral	spectral	ADJ
fcis-2071	60	30	preprocessing	preprocessing	NOUN
fcis-2071	60	31	,	,	PUNCT
fcis-2071	60	32	and	and	CCONJ
fcis-2071	60	33	the	the	DET
fcis-2071	60	34	results	result	NOUN
fcis-2071	60	35	are	be	AUX
fcis-2071	60	36	shown	show	VERB
fcis-2071	60	37	in	in	ADP
fcis-2071	60	38	fig	fig	NOUN
fcis-2071	60	39	.	.	PUNCT
fcis-2071	61	1	3	3	NUM
fcis-2071	61	2	,	,	PUNCT
fcis-2071	61	3	and	and	CCONJ
fcis-2071	61	4	it	it	PRON
fcis-2071	61	5	is	be	AUX
fcis-2071	61	6	obvious	obvious	ADJ
fcis-2071	61	7	from	from	ADP
fcis-2071	61	8	the	the	DET
fcis-2071	61	9	graph	graph	NOUN
fcis-2071	61	10	analysis	analysis	NOUN
fcis-2071	61	11	that	that	SCONJ
fcis-2071	61	12	the	the	DET
fcis-2071	61	13	preprocessed	preprocesse	VERB
fcis-2071	61	14	curve	curve	NOUN
fcis-2071	61	15	is	be	AUX
fcis-2071	61	16	smoother	smooth	ADJ
fcis-2071	61	17	.	.	PUNCT
fcis-2071	62	1	fig	fig	NOUN
fcis-2071	62	2	.	.	PUNCT
fcis-2071	63	1	3	3	NUM
fcis-2071	63	2	primordial	primordial	ADJ
fcis-2071	63	3	spectrogram	spectrogram	NOUN
fcis-2071	63	4	of	of	ADP
fcis-2071	63	5	red	red	ADJ
fcis-2071	63	6	tea	tea	PROPN
fcis-2071	63	7	3.4	3.4	NUM
fcis-2071	63	8	.	.	PUNCT
fcis-2071	64	1	classification	classification	NOUN
fcis-2071	64	2	algorithms	algorithm	NOUN
fcis-2071	64	3	support	support	VERB
fcis-2071	64	4	vector	vector	NOUN
fcis-2071	64	5	machine	machine	NOUN
fcis-2071	64	6	(	(	PUNCT
fcis-2071	64	7	svm	svm	PROPN
fcis-2071	64	8	)	)	PUNCT
fcis-2071	64	9	,	,	PUNCT
fcis-2071	64	10	also	also	ADV
fcis-2071	64	11	known	know	VERB
fcis-2071	64	12	as	as	ADP
fcis-2071	64	13	support	support	NOUN
fcis-2071	64	14	vector	vector	NOUN
fcis-2071	64	15	machine	machine	NOUN
fcis-2071	64	16	,	,	PUNCT
fcis-2071	64	17	is	be	AUX
fcis-2071	64	18	a	a	DET
fcis-2071	64	19	binary	binary	ADJ
fcis-2071	64	20	classification	classification	NOUN
fcis-2071	64	21	model	model	NOUN
fcis-2071	64	22	.	.	PUNCT
fcis-2071	65	1	it	it	PRON
fcis-2071	65	2	can	can	AUX
fcis-2071	65	3	also	also	ADV
fcis-2071	65	4	be	be	AUX
fcis-2071	65	5	used	use	VERB
fcis-2071	65	6	for	for	ADP
fcis-2071	65	7	classification	classification	NOUN
fcis-2071	65	8	of	of	ADP
fcis-2071	65	9	multi	multi	ADJ
fcis-2071	65	10	-	-	ADJ
fcis-2071	65	11	class	class	ADJ
fcis-2071	65	12	problems	problem	NOUN
fcis-2071	65	13	if	if	SCONJ
fcis-2071	65	14	modified	modify	VERB
fcis-2071	65	15	.	.	PUNCT
fcis-2071	66	1	support	support	NOUN
fcis-2071	66	2	vector	vector	NOUN
fcis-2071	66	3	machines	machine	NOUN
fcis-2071	66	4	can	can	AUX
fcis-2071	66	5	be	be	AUX
fcis-2071	66	6	divided	divide	VERB
fcis-2071	66	7	into	into	ADP
fcis-2071	66	8	two	two	NUM
fcis-2071	66	9	categories	category	NOUN
fcis-2071	66	10	:	:	PUNCT
fcis-2071	66	11	linear	linear	PROPN
fcis-2071	66	12	kernel	kernel	PROPN
fcis-2071	66	13	nonlinear	nonlinear	PROPN
fcis-2071	66	14	.	.	PUNCT
fcis-2071	67	1	the	the	DET
fcis-2071	67	2	main	main	ADJ
fcis-2071	67	3	idea	idea	NOUN
fcis-2071	67	4	is	be	AUX
fcis-2071	67	5	to	to	PART
fcis-2071	67	6	find	find	VERB
fcis-2071	67	7	a	a	DET
fcis-2071	67	8	hyperplane	hyperplane	NOUN
fcis-2071	67	9	in	in	ADP
fcis-2071	67	10	the	the	DET
fcis-2071	67	11	space	space	NOUN
fcis-2071	67	12	that	that	PRON
fcis-2071	67	13	is	be	AUX
fcis-2071	67	14	more	more	ADJ
fcis-2071	67	15	than	than	ADP
fcis-2071	67	16	enough	enough	ADJ
fcis-2071	67	17	to	to	PART
fcis-2071	67	18	delimit	delimit	VERB
fcis-2071	67	19	all	all	DET
fcis-2071	67	20	data	datum	NOUN
fcis-2071	67	21	samples	sample	NOUN
fcis-2071	67	22	and	and	CCONJ
fcis-2071	67	23	to	to	PART
fcis-2071	67	24	make	make	VERB
fcis-2071	67	25	the	the	DET
fcis-2071	67	26	distance	distance	NOUN
fcis-2071	67	27	from	from	ADP
fcis-2071	67	28	all	all	DET
fcis-2071	67	29	data	datum	NOUN
fcis-2071	67	30	in	in	ADP
fcis-2071	67	31	this	this	DET
fcis-2071	67	32	set	set	NOUN
fcis-2071	67	33	to	to	ADP
fcis-2071	67	34	this	this	DET
fcis-2071	67	35	hyperplane	hyperplane	NOUN
fcis-2071	67	36	the	the	DET
fcis-2071	67	37	shortest	short	ADJ
fcis-2071	67	38	.	.	PUNCT
fcis-2071	68	1	the	the	DET
fcis-2071	68	2	k	k	NOUN
fcis-2071	68	3	-	-	PUNCT
fcis-2071	68	4	nearest	near	ADJ
fcis-2071	68	5	neighbor	neighbor	NOUN
fcis-2071	68	6	(	(	PUNCT
fcis-2071	68	7	knn	knn	PROPN
fcis-2071	68	8	)	)	PUNCT
fcis-2071	68	9	algorithm	algorithm	NOUN
fcis-2071	68	10	is	be	AUX
fcis-2071	68	11	a	a	DET
fcis-2071	68	12	simple	simple	ADJ
fcis-2071	68	13	and	and	CCONJ
fcis-2071	68	14	practical	practical	ADJ
fcis-2071	68	15	machine	machine	NOUN
fcis-2071	68	16	learning	learn	VERB
fcis-2071	68	17	classification	classification	NOUN
fcis-2071	68	18	algorithm	algorithm	NOUN
fcis-2071	68	19	that	that	PRON
fcis-2071	68	20	can	can	AUX
fcis-2071	68	21	be	be	AUX
fcis-2071	68	22	used	use	VERB
fcis-2071	68	23	for	for	ADP
fcis-2071	68	24	both	both	CCONJ
fcis-2071	68	25	classification	classification	NOUN
fcis-2071	68	26	and	and	CCONJ
fcis-2071	68	27	regression	regression	NOUN
fcis-2071	68	28	,	,	PUNCT
fcis-2071	68	29	and	and	CCONJ
fcis-2071	68	30	the	the	DET
fcis-2071	68	31	main	main	ADJ
fcis-2071	68	32	idea	idea	NOUN
fcis-2071	68	33	of	of	ADP
fcis-2071	68	34	knn	knn	PROPN
fcis-2071	68	35	is	be	AUX
fcis-2071	68	36	to	to	PART
fcis-2071	68	37	perform	perform	VERB
fcis-2071	68	38	classification	classification	NOUN
fcis-2071	68	39	by	by	ADP
fcis-2071	68	40	measuring	measure	VERB
fcis-2071	68	41	the	the	DET
fcis-2071	68	42	distance	distance	NOUN
fcis-2071	68	43	between	between	ADP
fcis-2071	68	44	different	different	ADJ
fcis-2071	68	45	feature	feature	NOUN
fcis-2071	68	46	values	value	NOUN
fcis-2071	68	47	.	.	PUNCT
fcis-2071	69	1	random	random	ADJ
fcis-2071	69	2	forest	forest	NOUN
fcis-2071	69	3	(	(	PUNCT
fcis-2071	69	4	rf	rf	NOUN
fcis-2071	69	5	)	)	PUNCT
fcis-2071	69	6	is	be	AUX
fcis-2071	69	7	an	an	DET
fcis-2071	69	8	algorithm	algorithm	NOUN
fcis-2071	69	9	that	that	PRON
fcis-2071	69	10	integrates	integrate	VERB
fcis-2071	69	11	multiple	multiple	ADJ
fcis-2071	69	12	trees	tree	NOUN
fcis-2071	69	13	through	through	ADP
fcis-2071	69	14	the	the	DET
fcis-2071	69	15	idea	idea	NOUN
fcis-2071	69	16	of	of	ADP
fcis-2071	69	17	integrated	integrated	ADJ
fcis-2071	69	18	learning	learning	NOUN
fcis-2071	69	19	,	,	PUNCT
fcis-2071	69	20	and	and	CCONJ
fcis-2071	69	21	its	its	PRON
fcis-2071	69	22	basic	basic	ADJ
fcis-2071	69	23	unit	unit	NOUN
fcis-2071	69	24	is	be	AUX
fcis-2071	69	25	a	a	DET
fcis-2071	69	26	decision	decision	NOUN
fcis-2071	69	27	tree	tree	NOUN
fcis-2071	69	28	,	,	PUNCT
fcis-2071	69	29	and	and	CCONJ
fcis-2071	69	30	its	its	PRON
fcis-2071	69	31	essence	essence	NOUN
fcis-2071	69	32	belongs	belong	VERB
fcis-2071	69	33	to	to	ADP
fcis-2071	69	34	a	a	DET
fcis-2071	69	35	major	major	ADJ
fcis-2071	69	36	branch	branch	NOUN
fcis-2071	69	37	of	of	ADP
fcis-2071	69	38	machine	machine	NOUN
fcis-2071	69	39	learning	learn	VERB
fcis-2071	69	40	ensemble	ensemble	ADJ
fcis-2071	69	41	learning	learning	NOUN
fcis-2071	69	42	method	method	NOUN
fcis-2071	69	43	,	,	PUNCT
fcis-2071	69	44	which	which	PRON
fcis-2071	69	45	is	be	AUX
fcis-2071	69	46	mainly	mainly	ADV
fcis-2071	69	47	used	use	VERB
fcis-2071	69	48	to	to	PART
fcis-2071	69	49	solve	solve	VERB
fcis-2071	69	50	classification	classification	NOUN
fcis-2071	69	51	it	it	PRON
fcis-2071	69	52	is	be	AUX
fcis-2071	69	53	mainly	mainly	ADV
fcis-2071	69	54	used	use	VERB
fcis-2071	69	55	to	to	PART
fcis-2071	69	56	solve	solve	VERB
fcis-2071	69	57	classification	classification	NOUN
fcis-2071	69	58	problems	problem	NOUN
fcis-2071	69	59	.	.	PUNCT
fcis-2071	70	1	back	back	ADJ
fcis-2071	70	2	propagation	propagation	NOUN
fcis-2071	70	3	(	(	PUNCT
fcis-2071	70	4	bp	bp	PROPN
fcis-2071	70	5	)	)	PUNCT
fcis-2071	70	6	neural	neural	ADJ
fcis-2071	70	7	network	network	NOUN
fcis-2071	70	8	is	be	AUX
fcis-2071	70	9	a	a	DET
fcis-2071	70	10	multi	multi	ADJ
fcis-2071	70	11	-	-	ADJ
fcis-2071	70	12	layer	layer	ADJ
fcis-2071	70	13	feedforward	feedforward	NOUN
fcis-2071	70	14	network	network	NOUN
fcis-2071	70	15	trained	train	VERB
fcis-2071	70	16	by	by	ADP
fcis-2071	70	17	error	error	NOUN
fcis-2071	70	18	back	back	NOUN
fcis-2071	70	19	propagation	propagation	NOUN
fcis-2071	70	20	56	56	NUM
fcis-2071	70	21	algorithm	algorithm	NOUN
fcis-2071	70	22	,	,	PUNCT
fcis-2071	70	23	which	which	PRON
fcis-2071	70	24	is	be	AUX
fcis-2071	70	25	widely	widely	ADV
fcis-2071	70	26	used	use	VERB
fcis-2071	70	27	in	in	ADP
fcis-2071	70	28	the	the	DET
fcis-2071	70	29	present	present	ADJ
fcis-2071	70	30	time	time	NOUN
fcis-2071	70	31	.	.	PUNCT
fcis-2071	71	1	4	4	X
fcis-2071	71	2	.	.	NOUN
fcis-2071	71	3	result	result	VERB
fcis-2071	71	4	analysis	analysis	NOUN
fcis-2071	71	5	and	and	CCONJ
fcis-2071	71	6	discussion	discussion	NOUN
fcis-2071	71	7	in	in	ADP
fcis-2071	71	8	the	the	DET
fcis-2071	71	9	experiment	experiment	NOUN
fcis-2071	71	10	,	,	PUNCT
fcis-2071	71	11	a	a	DET
fcis-2071	71	12	5	5	NUM
fcis-2071	71	13	-	-	ADJ
fcis-2071	71	14	fold	fold	ADJ
fcis-2071	71	15	cross	cross	ADJ
fcis-2071	71	16	-	-	ADJ
fcis-2071	71	17	validation	validation	ADJ
fcis-2071	71	18	method	method	NOUN
fcis-2071	71	19	was	be	AUX
fcis-2071	71	20	used	use	VERB
fcis-2071	71	21	to	to	PART
fcis-2071	71	22	randomly	randomly	VERB
fcis-2071	71	23	select	select	VERB
fcis-2071	71	24	70	70	NUM
fcis-2071	71	25	%	%	NOUN
fcis-2071	71	26	of	of	ADP
fcis-2071	71	27	the	the	DET
fcis-2071	71	28	samples	sample	NOUN
fcis-2071	71	29	in	in	ADP
fcis-2071	71	30	each	each	DET
fcis-2071	71	31	time	time	NOUN
fcis-2071	71	32	period	period	NOUN
fcis-2071	71	33	as	as	ADP
fcis-2071	71	34	the	the	DET
fcis-2071	71	35	training	training	NOUN
fcis-2071	71	36	set	set	VERB
fcis-2071	71	37	samples	sample	NOUN
fcis-2071	71	38	(	(	PUNCT
fcis-2071	71	39	a	a	DET
fcis-2071	71	40	total	total	NOUN
fcis-2071	71	41	of	of	ADP
fcis-2071	71	42	140	140	NUM
fcis-2071	71	43	tea	tea	NOUN
fcis-2071	71	44	leaves	leave	NOUN
fcis-2071	71	45	)	)	PUNCT
fcis-2071	71	46	and	and	CCONJ
fcis-2071	71	47	the	the	DET
fcis-2071	71	48	rest	rest	NOUN
fcis-2071	71	49	as	as	ADP
fcis-2071	71	50	the	the	DET
fcis-2071	71	51	validation	validation	NOUN
fcis-2071	71	52	set	set	VERB
fcis-2071	71	53	samples	sample	NOUN
fcis-2071	71	54	(	(	PUNCT
fcis-2071	71	55	a	a	DET
fcis-2071	71	56	total	total	NOUN
fcis-2071	71	57	of	of	ADP
fcis-2071	71	58	60	60	NUM
fcis-2071	71	59	tea	tea	NOUN
fcis-2071	71	60	leaves	leave	NOUN
fcis-2071	71	61	)	)	PUNCT
fcis-2071	71	62	.	.	PUNCT
fcis-2071	72	1	the	the	DET
fcis-2071	72	2	average	average	NOUN
fcis-2071	72	3	reflected	reflect	VERB
fcis-2071	72	4	light	light	ADJ
fcis-2071	72	5	intensity	intensity	NOUN
fcis-2071	72	6	of	of	ADP
fcis-2071	72	7	200	200	NUM
fcis-2071	72	8	tea	tea	NOUN
fcis-2071	72	9	leaves	leave	NOUN
fcis-2071	72	10	in	in	ADP
fcis-2071	72	11	360	360	NUM
fcis-2071	72	12	bands	band	NOUN
fcis-2071	72	13	was	be	AUX
fcis-2071	72	14	used	use	VERB
fcis-2071	72	15	as	as	ADP
fcis-2071	72	16	the	the	DET
fcis-2071	72	17	feature	feature	NOUN
fcis-2071	72	18	variable	variable	NOUN
fcis-2071	72	19	,	,	PUNCT
fcis-2071	72	20	and	and	CCONJ
fcis-2071	72	21	the	the	DET
fcis-2071	72	22	classification	classification	NOUN
fcis-2071	72	23	recognition	recognition	NOUN
fcis-2071	72	24	model	model	NOUN
fcis-2071	72	25	based	base	VERB
fcis-2071	72	26	on	on	ADP
fcis-2071	72	27	four	four	NUM
fcis-2071	72	28	classification	classification	NOUN
fcis-2071	72	29	learning	learning	NOUN
fcis-2071	72	30	algorithms	algorithm	NOUN
fcis-2071	72	31	,	,	PUNCT
fcis-2071	72	32	namely	namely	ADV
fcis-2071	72	33	svm	svm	PROPN
fcis-2071	72	34	,	,	PUNCT
fcis-2071	72	35	knn	knn	PROPN
fcis-2071	72	36	,	,	PUNCT
fcis-2071	72	37	rf	rf	PROPN
fcis-2071	72	38	and	and	CCONJ
fcis-2071	72	39	bp	bp	PROPN
fcis-2071	72	40	,	,	PUNCT
fcis-2071	72	41	was	be	AUX
fcis-2071	72	42	established	establish	VERB
fcis-2071	72	43	after	after	ADP
fcis-2071	72	44	pre	pre	ADJ
fcis-2071	72	45	-	-	ADJ
fcis-2071	72	46	processing	processing	NOUN
fcis-2071	72	47	with	with	ADP
fcis-2071	72	48	msc	msc	PROPN
fcis-2071	72	49	algorithm	algorithm	PROPN
fcis-2071	72	50	.	.	PUNCT
fcis-2071	73	1	table	table	NOUN
fcis-2071	73	2	1	1	NUM
fcis-2071	73	3	.	.	PUNCT
fcis-2071	74	1	classification	classification	NOUN
fcis-2071	74	2	identification	identification	NOUN
fcis-2071	74	3	results	result	VERB
fcis-2071	74	4	time	time	NOUN
fcis-2071	74	5	algorithms	algorithms	PROPN
fcis-2071	74	6	0h	0h	X
fcis-2071	74	7	1h	1h	NUM
fcis-2071	74	8	2h	2h	NUM
fcis-2071	74	9	3h	3h	NUM
fcis-2071	74	10	total	total	NOUN
fcis-2071	74	11	svm	svm	PROPN
fcis-2071	74	12	66.7	66.7	NUM
fcis-2071	74	13	%	%	NOUN
fcis-2071	74	14	53.3	53.3	NUM
fcis-2071	74	15	%	%	NOUN
fcis-2071	74	16	86.7	86.7	NUM
fcis-2071	74	17	%	%	NOUN
fcis-2071	74	18	73.3	73.3	NUM
fcis-2071	74	19	%	%	NOUN
fcis-2071	74	20	70.0	70.0	NUM
fcis-2071	74	21	%	%	NOUN
fcis-2071	74	22	knn	knn	NOUN
fcis-2071	74	23	50.0	50.0	NUM
fcis-2071	74	24	%	%	NOUN
fcis-2071	74	25	33.3	33.3	NUM
fcis-2071	74	26	%	%	NOUN
fcis-2071	74	27	80.0	80.0	NUM
fcis-2071	74	28	%	%	NOUN
fcis-2071	74	29	60.0	60.0	NUM
fcis-2071	74	30	%	%	NOUN
fcis-2071	74	31	57.5	57.5	NUM
fcis-2071	74	32	%	%	NOUN
fcis-2071	74	33	rf	rf	NOUN
fcis-2071	74	34	46.2	46.2	NUM
fcis-2071	74	35	%	%	NOUN
fcis-2071	74	36	30.0	30.0	NUM
fcis-2071	74	37	%	%	NOUN
fcis-2071	74	38	86.7	86.7	NUM
fcis-2071	74	39	%	%	NOUN
fcis-2071	74	40	45.5	45.5	NUM
fcis-2071	74	41	%	%	NOUN
fcis-2071	74	42	47.5	47.5	NUM
fcis-2071	74	43	%	%	NOUN
fcis-2071	74	44	bp	bp	PROPN
fcis-2071	74	45	46.7	46.7	NUM
fcis-2071	74	46	%	%	NOUN
fcis-2071	74	47	80.0	80.0	NUM
fcis-2071	74	48	%	%	NOUN
fcis-2071	74	49	86.7	86.7	NUM
fcis-2071	74	50	%	%	NOUN
fcis-2071	74	51	80.0	80.0	NUM
fcis-2071	74	52	%	%	NOUN
fcis-2071	74	53	73.3	73.3	NUM
fcis-2071	74	54	%	%	NOUN
fcis-2071	74	55	from	from	ADP
fcis-2071	74	56	the	the	DET
fcis-2071	74	57	experimental	experimental	ADJ
fcis-2071	74	58	results	result	NOUN
fcis-2071	74	59	,	,	PUNCT
fcis-2071	74	60	it	it	PRON
fcis-2071	74	61	can	can	AUX
fcis-2071	74	62	be	be	AUX
fcis-2071	74	63	seen	see	VERB
fcis-2071	74	64	that	that	SCONJ
fcis-2071	74	65	both	both	CCONJ
fcis-2071	74	66	bp	bp	PROPN
fcis-2071	74	67	and	and	CCONJ
fcis-2071	74	68	svm	svm	ADJ
fcis-2071	74	69	algorithms	algorithm	NOUN
fcis-2071	74	70	can	can	AUX
fcis-2071	74	71	effectively	effectively	ADV
fcis-2071	74	72	classify	classify	VERB
fcis-2071	74	73	and	and	CCONJ
fcis-2071	74	74	identify	identify	VERB
fcis-2071	74	75	the	the	DET
fcis-2071	74	76	degree	degree	NOUN
fcis-2071	74	77	of	of	ADP
fcis-2071	74	78	loss	loss	NOUN
fcis-2071	74	79	of	of	ADP
fcis-2071	74	80	water	water	NOUN
fcis-2071	74	81	content	content	NOUN
fcis-2071	74	82	of	of	ADP
fcis-2071	74	83	black	black	ADJ
fcis-2071	74	84	tea	tea	NOUN
fcis-2071	74	85	leaves	leave	NOUN
fcis-2071	74	86	,	,	PUNCT
fcis-2071	74	87	and	and	CCONJ
fcis-2071	74	88	their	their	PRON
fcis-2071	74	89	classification	classification	NOUN
fcis-2071	74	90	accuracy	accuracy	NOUN
fcis-2071	74	91	is	be	AUX
fcis-2071	74	92	73.3	73.3	NUM
fcis-2071	74	93	%	%	NOUN
fcis-2071	74	94	and	and	CCONJ
fcis-2071	74	95	70.0	70.0	NUM
fcis-2071	74	96	%	%	NOUN
fcis-2071	74	97	,	,	PUNCT
fcis-2071	74	98	respectively	respectively	ADV
fcis-2071	74	99	,	,	PUNCT
fcis-2071	74	100	and	and	CCONJ
fcis-2071	74	101	the	the	DET
fcis-2071	74	102	classification	classification	NOUN
fcis-2071	74	103	effect	effect	NOUN
fcis-2071	74	104	of	of	ADP
fcis-2071	74	105	bp	bp	PROPN
fcis-2071	74	106	neural	neural	ADJ
fcis-2071	74	107	network	network	NOUN
fcis-2071	74	108	algorithm	algorithm	NOUN
fcis-2071	74	109	is	be	AUX
fcis-2071	74	110	slightly	slightly	ADV
fcis-2071	74	111	better	well	ADJ
fcis-2071	74	112	than	than	ADP
fcis-2071	74	113	that	that	PRON
fcis-2071	74	114	of	of	ADP
fcis-2071	74	115	svm	svm	ADJ
fcis-2071	74	116	algorithm	algorithm	NOUN
fcis-2071	74	117	,	,	PUNCT
fcis-2071	74	118	and	and	CCONJ
fcis-2071	74	119	the	the	DET
fcis-2071	74	120	classification	classification	NOUN
fcis-2071	74	121	effect	effect	NOUN
fcis-2071	74	122	of	of	ADP
fcis-2071	74	123	traditional	traditional	ADJ
fcis-2071	74	124	knn	knn	PROPN
fcis-2071	74	125	and	and	CCONJ
fcis-2071	74	126	rf	rf	NUM
fcis-2071	74	127	algorithms	algorithms	NOUN
fcis-2071	74	128	is	be	AUX
fcis-2071	74	129	not	not	PART
fcis-2071	74	130	very	very	ADV
fcis-2071	74	131	satisfactory	satisfactory	ADJ
fcis-2071	74	132	,	,	PUNCT
fcis-2071	74	133	neither	neither	PRON
fcis-2071	74	134	of	of	ADP
fcis-2071	74	135	which	which	PRON
fcis-2071	74	136	exceeds	exceed	VERB
fcis-2071	74	137	60	60	NUM
fcis-2071	74	138	%	%	NOUN
fcis-2071	74	139	,	,	PUNCT
fcis-2071	74	140	with	with	ADP
fcis-2071	74	141	rf	rf	ADJ
fcis-2071	74	142	algorithm	algorithm	NOUN
fcis-2071	74	143	performing	perform	VERB
fcis-2071	74	144	the	the	DET
fcis-2071	74	145	worst	bad	ADJ
fcis-2071	74	146	fig	fig	NOUN
fcis-2071	74	147	.	.	PUNCT
fcis-2071	75	1	4	4	NUM
fcis-2071	75	2	shows	show	VERB
fcis-2071	75	3	the	the	DET
fcis-2071	75	4	confusion	confusion	NOUN
fcis-2071	75	5	matrix	matrix	NOUN
fcis-2071	75	6	of	of	ADP
fcis-2071	75	7	the	the	DET
fcis-2071	75	8	algorithm	algorithm	NOUN
fcis-2071	75	9	classification	classification	NOUN
fcis-2071	75	10	more	more	ADV
fcis-2071	75	11	visually	visually	ADV
fcis-2071	75	12	,	,	PUNCT
fcis-2071	75	13	and	and	CCONJ
fcis-2071	75	14	the	the	DET
fcis-2071	75	15	results	result	NOUN
fcis-2071	75	16	are	be	AUX
fcis-2071	75	17	consistent	consistent	ADJ
fcis-2071	75	18	with	with	ADP
fcis-2071	75	19	the	the	DET
fcis-2071	75	20	experimental	experimental	ADJ
fcis-2071	75	21	statistics	statistic	NOUN
fcis-2071	75	22	.	.	PUNCT
fcis-2071	76	1	the	the	DET
fcis-2071	76	2	overall	overall	ADJ
fcis-2071	76	3	analysis	analysis	NOUN
fcis-2071	76	4	shows	show	VERB
fcis-2071	76	5	that	that	SCONJ
fcis-2071	76	6	it	it	PRON
fcis-2071	76	7	is	be	AUX
fcis-2071	76	8	difficult	difficult	ADJ
fcis-2071	76	9	to	to	PART
fcis-2071	76	10	distinguish	distinguish	VERB
fcis-2071	76	11	the	the	DET
fcis-2071	76	12	degree	degree	NOUN
fcis-2071	76	13	of	of	ADP
fcis-2071	76	14	water	water	NOUN
fcis-2071	76	15	content	content	NOUN
fcis-2071	76	16	loss	loss	NOUN
fcis-2071	76	17	of	of	ADP
fcis-2071	76	18	black	black	ADJ
fcis-2071	76	19	tea	tea	NOUN
fcis-2071	76	20	leaves	leave	NOUN
fcis-2071	76	21	after	after	ADP
fcis-2071	76	22	1	1	NUM
fcis-2071	76	23	h.	h.	NOUN
fcis-2071	76	24	it	it	PRON
fcis-2071	76	25	is	be	AUX
fcis-2071	76	26	possible	possible	ADJ
fcis-2071	76	27	that	that	SCONJ
fcis-2071	76	28	during	during	ADP
fcis-2071	76	29	the	the	DET
fcis-2071	76	30	experiment	experiment	NOUN
fcis-2071	76	31	,	,	PUNCT
fcis-2071	76	32	there	there	PRON
fcis-2071	76	33	is	be	VERB
fcis-2071	76	34	a	a	DET
fcis-2071	76	35	certain	certain	ADJ
fcis-2071	76	36	amount	amount	NOUN
fcis-2071	76	37	of	of	ADP
fcis-2071	76	38	error	error	NOUN
fcis-2071	76	39	caused	cause	VERB
fcis-2071	76	40	by	by	ADP
fcis-2071	76	41	the	the	DET
fcis-2071	76	42	experimental	experimental	ADJ
fcis-2071	76	43	instrument	instrument	NOUN
fcis-2071	76	44	or	or	CCONJ
fcis-2071	76	45	operation	operation	NOUN
fcis-2071	76	46	,	,	PUNCT
fcis-2071	76	47	resulting	result	VERB
fcis-2071	76	48	in	in	ADP
fcis-2071	76	49	the	the	DET
fcis-2071	76	50	poor	poor	ADJ
fcis-2071	76	51	classification	classification	NOUN
fcis-2071	76	52	effect	effect	NOUN
fcis-2071	76	53	of	of	ADP
fcis-2071	76	54	the	the	DET
fcis-2071	76	55	traditional	traditional	ADJ
fcis-2071	76	56	machine	machine	NOUN
fcis-2071	76	57	learning	learning	NOUN
fcis-2071	76	58	algorithm	algorithm	NOUN
fcis-2071	76	59	,	,	PUNCT
fcis-2071	76	60	but	but	CCONJ
fcis-2071	76	61	the	the	DET
fcis-2071	76	62	bp	bp	PROPN
fcis-2071	76	63	neural	neural	PROPN
fcis-2071	76	64	network	network	NOUN
fcis-2071	76	65	performance	performance	NOUN
fcis-2071	76	66	is	be	AUX
fcis-2071	76	67	not	not	PART
fcis-2071	76	68	good	good	ADJ
fcis-2071	76	69	at	at	ADP
fcis-2071	76	70	0h	0h	PROPN
fcis-2071	76	71	.	.	PUNCT
fcis-2071	77	1	(	(	PUNCT
fcis-2071	77	2	a)svm	a)svm	NOUN
fcis-2071	77	3	(	(	PUNCT
fcis-2071	77	4	b)knn	b)knn	NOUN
fcis-2071	77	5	(	(	PUNCT
fcis-2071	77	6	c)rf	c)rf	PROPN
fcis-2071	77	7	(	(	PUNCT
fcis-2071	77	8	d)bp	d)bp	PROPN
fcis-2071	77	9	fig	fig	NOUN
fcis-2071	77	10	.	.	PUNCT
fcis-2071	78	1	4	4	NUM
fcis-2071	78	2	confusion	confusion	NOUN
fcis-2071	78	3	matrix	matrix	NOUN
fcis-2071	78	4	of	of	ADP
fcis-2071	78	5	4	4	NUM
fcis-2071	78	6	algorithms	algorithm	NOUN
fcis-2071	78	7	5	5	NUM
fcis-2071	78	8	.	.	PUNCT
fcis-2071	79	1	conclusion	conclusion	NOUN
fcis-2071	79	2	this	this	DET
fcis-2071	79	3	thesis	thesis	NOUN
fcis-2071	79	4	investigated	investigate	VERB
fcis-2071	79	5	the	the	DET
fcis-2071	79	6	discrimination	discrimination	NOUN
fcis-2071	79	7	of	of	ADP
fcis-2071	79	8	the	the	DET
fcis-2071	79	9	degree	degree	NOUN
fcis-2071	79	10	of	of	ADP
fcis-2071	79	11	water	water	NOUN
fcis-2071	79	12	loss	loss	NOUN
fcis-2071	79	13	of	of	ADP
fcis-2071	79	14	ying	ying	PROPN
fcis-2071	79	15	hong	hong	PROPN
fcis-2071	79	16	no	no	INTJ
fcis-2071	79	17	.	.	NOUN
fcis-2071	79	18	9	9	NUM
fcis-2071	79	19	black	black	ADJ
fcis-2071	79	20	tea	tea	NOUN
fcis-2071	79	21	leaves	leave	NOUN
fcis-2071	79	22	during	during	ADP
fcis-2071	79	23	the	the	DET
fcis-2071	79	24	tailing	tail	VERB
fcis-2071	79	25	process	process	NOUN
fcis-2071	79	26	using	use	VERB
fcis-2071	79	27	hyperspectral	hyperspectral	ADJ
fcis-2071	79	28	imaging	imaging	NOUN
fcis-2071	79	29	equipment	equipment	NOUN
fcis-2071	79	30	with	with	ADP
fcis-2071	79	31	wavelength	wavelength	NOUN
fcis-2071	79	32	range	range	NOUN
fcis-2071	79	33	of	of	ADP
fcis-2071	79	34	400	400	NUM
fcis-2071	79	35	-1000	-1000	NUM
fcis-2071	79	36	nm	nm	ADJ
fcis-2071	79	37	,	,	PUNCT
fcis-2071	79	38	image	image	NOUN
fcis-2071	79	39	processing	processing	NOUN
fcis-2071	79	40	methods	method	NOUN
fcis-2071	79	41	and	and	CCONJ
fcis-2071	79	42	relevat	relevat	VERB
fcis-2071	79	43	classification	classification	NOUN
fcis-2071	79	44	recognition	recognition	NOUN
fcis-2071	79	45	algorithms	algorithm	NOUN
fcis-2071	79	46	.	.	PUNCT
fcis-2071	80	1	the	the	DET
fcis-2071	80	2	classification	classification	NOUN
fcis-2071	80	3	discrimination	discrimination	NOUN
fcis-2071	80	4	was	be	AUX
fcis-2071	80	5	achieved	achieve	VERB
fcis-2071	80	6	by	by	ADP
fcis-2071	80	7	extracting	extract	VERB
fcis-2071	80	8	the	the	DET
fcis-2071	80	9	average	average	ADJ
fcis-2071	80	10	relative	relative	ADJ
fcis-2071	80	11	reflection	reflection	NOUN
fcis-2071	80	12	spectra	spectra	NOUN
fcis-2071	80	13	of	of	ADP
fcis-2071	80	14	the	the	DET
fcis-2071	80	15	whole	whole	ADJ
fcis-2071	80	16	area	area	NOUN
fcis-2071	80	17	of	of	ADP
fcis-2071	80	18	black	black	ADJ
fcis-2071	80	19	tea	tea	NOUN
fcis-2071	80	20	leaves	leave	NOUN
fcis-2071	80	21	in	in	ADP
fcis-2071	80	22	the	the	DET
fcis-2071	80	23	full	full	ADJ
fcis-2071	80	24	-	-	PUNCT
fcis-2071	80	25	band	band	NOUN
fcis-2071	80	26	region	region	NOUN
fcis-2071	80	27	of	of	ADP
fcis-2071	80	28	interest	interest	NOUN
fcis-2071	80	29	as	as	ADP
fcis-2071	80	30	classification	classification	NOUN
fcis-2071	80	31	features	feature	NOUN
fcis-2071	80	32	,	,	PUNCT
fcis-2071	80	33	combined	combine	VERB
fcis-2071	80	34	with	with	ADP
fcis-2071	80	35	models	model	NOUN
fcis-2071	80	36	such	such	ADJ
fcis-2071	80	37	as	as	ADP
fcis-2071	80	38	bp	bp	PROPN
fcis-2071	80	39	neural	neural	ADJ
fcis-2071	80	40	network	network	NOUN
fcis-2071	80	41	,	,	PUNCT
fcis-2071	80	42	and	and	CCONJ
fcis-2071	80	43	the	the	DET
fcis-2071	80	44	classification	classification	NOUN
fcis-2071	80	45	accuracy	accuracy	NOUN
fcis-2071	80	46	of	of	ADP
fcis-2071	80	47	the	the	DET
fcis-2071	80	48	final	final	ADJ
fcis-2071	80	49	bp	bp	PROPN
fcis-2071	80	50	neural	neural	ADJ
fcis-2071	80	51	network	network	NOUN
fcis-2071	80	52	in	in	ADP
fcis-2071	80	53	the	the	DET
fcis-2071	80	54	prediction	prediction	NOUN
fcis-2071	80	55	set	set	NOUN
fcis-2071	80	56	was	be	AUX
fcis-2071	80	57	73.3	73.3	NUM
fcis-2071	80	58	%	%	NOUN
fcis-2071	80	59	,	,	PUNCT
fcis-2071	80	60	which	which	PRON
fcis-2071	80	61	was	be	AUX
fcis-2071	80	62	higher	high	ADJ
fcis-2071	80	63	than	than	ADP
fcis-2071	80	64	the	the	DET
fcis-2071	80	65	other	other	ADJ
fcis-2071	80	66	three	three	NUM
fcis-2071	80	67	traditional	traditional	ADJ
fcis-2071	80	68	machine	machine	NOUN
fcis-2071	80	69	learning	learn	VERB
fcis-2071	80	70	algorithms	algorithm	NOUN
fcis-2071	80	71	of	of	ADP
fcis-2071	80	72	the	the	DET
fcis-2071	80	73	algorithm	algorithm	NOUN
fcis-2071	80	74	,	,	PUNCT
fcis-2071	80	75	but	but	CCONJ
fcis-2071	80	76	the	the	DET
fcis-2071	80	77	classification	classification	NOUN
fcis-2071	80	78	accuracy	accuracy	NOUN
fcis-2071	80	79	of	of	ADP
fcis-2071	80	80	the	the	DET
fcis-2071	80	81	whole	whole	ADJ
fcis-2071	80	82	test	test	NOUN
fcis-2071	80	83	set	set	VERB
fcis-2071	80	84	needed	need	VERB
fcis-2071	80	85	further	further	ADJ
fcis-2071	80	86	improvement	improvement	NOUN
fcis-2071	80	87	.	.	PUNCT
fcis-2071	81	1	therefore	therefore	ADV
fcis-2071	81	2	,	,	PUNCT
fcis-2071	81	3	hyperspectral	hyperspectral	ADJ
fcis-2071	81	4	technology	technology	NOUN
fcis-2071	81	5	can	can	AUX
fcis-2071	81	6	be	be	AUX
fcis-2071	81	7	used	use	VERB
fcis-2071	81	8	to	to	PART
fcis-2071	81	9	effectively	effectively	ADV
fcis-2071	81	10	classify	classify	VERB
fcis-2071	81	11	and	and	CCONJ
fcis-2071	81	12	discriminate	discriminate	VERB
fcis-2071	81	13	the	the	DET
fcis-2071	81	14	degree	degree	NOUN
fcis-2071	81	15	of	of	ADP
fcis-2071	81	16	water	water	NOUN
fcis-2071	81	17	loss	loss	NOUN
fcis-2071	81	18	in	in	ADP
fcis-2071	81	19	black	black	ADJ
fcis-2071	81	20	tea	tea	NOUN
fcis-2071	81	21	leaves	leave	NOUN
fcis-2071	81	22	and	and	CCONJ
fcis-2071	81	23	provide	provide	VERB
fcis-2071	81	24	a	a	DET
fcis-2071	81	25	reference	reference	NOUN
fcis-2071	81	26	for	for	ADP
fcis-2071	81	27	the	the	DET
fcis-2071	81	28	application	application	NOUN
fcis-2071	81	29	of	of	ADP
fcis-2071	81	30	hyperspectral	hyperspectral	ADJ
fcis-2071	81	31	imaging	imaging	NOUN
fcis-2071	81	32	technology	technology	NOUN
fcis-2071	81	33	in	in	ADP
fcis-2071	81	34	the	the	DET
fcis-2071	81	35	black	black	ADJ
fcis-2071	81	36	tea	tea	NOUN
fcis-2071	81	37	tail	tail	NOUN
fcis-2071	81	38	withering	wither	VERB
fcis-2071	81	39	process	process	NOUN
fcis-2071	81	40	.	.	PUNCT
fcis-2071	82	1	references	reference	NOUN
fcis-2071	82	2	[	[	X
fcis-2071	82	3	1	1	NUM
fcis-2071	82	4	]	]	PUNCT
fcis-2071	82	5	corretti	corretti	NOUN
fcis-2071	82	6	m	m	NOUN
fcis-2071	82	7	c	c	NOUN
fcis-2071	82	8	,	,	PUNCT
fcis-2071	82	9	deleon	deleon	PROPN
fcis-2071	82	10	y	y	PROPN
fcis-2071	82	11	w	w	PROPN
fcis-2071	82	12	,	,	PUNCT
fcis-2071	82	13	mangano	mangano	PROPN
fcis-2071	82	14	c	c	PROPN
fcis-2071	82	15	,	,	PUNCT
fcis-2071	82	16	et	et	PROPN
fcis-2071	82	17	al	al	PROPN
fcis-2071	82	18	.	.	PUNCT
fcis-2071	83	1	the	the	DET
fcis-2071	83	2	acute	acute	ADJ
fcis-2071	83	3	effect	effect	NOUN
fcis-2071	83	4	of	of	ADP
fcis-2071	83	5	tea	tea	NOUN
fcis-2071	83	6	consumption	consumption	NOUN
fcis-2071	83	7	with	with	ADP
fcis-2071	83	8	a	a	DET
fcis-2071	83	9	high	high	ADJ
fcis-2071	83	10	fat	fat	ADJ
fcis-2071	83	11	meal	meal	NOUN
fcis-2071	83	12	on	on	ADP
fcis-2071	83	13	flow	flow	NOUN
fcis-2071	83	14	-	-	PUNCT
fcis-2071	83	15	mediated	mediate	VERB
fcis-2071	83	16	brachial	brachial	ADJ
fcis-2071	83	17	artery	artery	NOUN
fcis-2071	83	18	vasodilation	vasodilation	NOUN
fcis-2071	83	19	in	in	ADP
fcis-2071	83	20	healthy	healthy	ADJ
fcis-2071	83	21	individuals[j	individuals[j	PROPN
fcis-2071	83	22	]	]	PUNCT
fcis-2071	83	23	.	.	PUNCT
fcis-2071	84	1	journal	journal	PROPN
fcis-2071	84	2	of	of	ADP
fcis-2071	84	3	the	the	DET
fcis-2071	84	4	american	american	PROPN
fcis-2071	84	5	college	college	PROPN
fcis-2071	84	6	of	of	ADP
fcis-2071	84	7	cardiology	cardiology	NOUN
fcis-2071	84	8	,	,	PUNCT
fcis-2071	84	9	2002	2002	NUM
fcis-2071	84	10	,	,	PUNCT
fcis-2071	84	11	39(02):218	39(02):218	NOUN
fcis-2071	84	12	-	-	NOUN
fcis-2071	84	13	218	218	NUM
fcis-2071	84	14	.	.	PUNCT
fcis-2071	85	1	[	[	X
fcis-2071	85	2	2	2	NUM
fcis-2071	85	3	]	]	SYM
fcis-2071	85	4	xiaoli	xiaoli	PROPN
fcis-2071	85	5	,	,	PUNCT
fcis-2071	85	6	li	li	PROPN
fcis-2071	85	7	,	,	PUNCT
fcis-2071	85	8	chuanqi	chuanqi	PROPN
fcis-2071	85	9	,	,	PUNCT
fcis-2071	85	10	et	et	PROPN
fcis-2071	85	11	al	al	PROPN
fcis-2071	85	12	.	.	PUNCT
fcis-2071	85	13	characterizing	characterize	VERB
fcis-2071	85	14	the	the	DET
fcis-2071	85	15	moisture	moisture	NOUN
fcis-2071	85	16	content	content	NOUN
fcis-2071	85	17	of	of	ADP
fcis-2071	85	18	tea	tea	NOUN
fcis-2071	85	19	with	with	ADP
fcis-2071	85	20	diffuse	diffuse	NOUN
fcis-2071	85	21	reflectance	reflectance	NOUN
fcis-2071	85	22	spectroscopy	spectroscopy	NOUN
fcis-2071	85	23	using	use	VERB
fcis-2071	85	24	wavelet	wavelet	NOUN
fcis-2071	85	25	transform	transform	NOUN
fcis-2071	85	26	and	and	CCONJ
fcis-2071	85	27	multivariate	multivariate	VERB
fcis-2071	85	28	analysis[j	analysis[j	PROPN
fcis-2071	85	29	]	]	PUNCT
fcis-2071	85	30	.	.	PUNCT
fcis-2071	86	1	sensors	sensor	NOUN
fcis-2071	86	2	,	,	PUNCT
fcis-2071	86	3	2012	2012	NUM
fcis-2071	86	4	,	,	PUNCT
fcis-2071	86	5	12(7):9847	12(7):9847	PROPN
fcis-2071	86	6	-	-	SYM
fcis-2071	86	7	9861	9861	NUM
fcis-2071	86	8	.	.	PUNCT
fcis-2071	87	1	[	[	X
fcis-2071	87	2	3	3	X
fcis-2071	87	3	]	]	X
fcis-2071	87	4	wei	wei	PROPN
fcis-2071	87	5	y	y	PROPN
fcis-2071	87	6	,	,	PUNCT
fcis-2071	87	7	wu	wu	PROPN
fcis-2071	87	8	f	f	PROPN
fcis-2071	87	9	,	,	PUNCT
fcis-2071	87	10	xu	xu	PROPN
fcis-2071	87	11	j	j	PROPN
fcis-2071	87	12	,	,	PUNCT
fcis-2071	87	13	et	et	PROPN
fcis-2071	87	14	al	al	PROPN
fcis-2071	87	15	.	.	PROPN
fcis-2071	88	1	visual	visual	ADJ
fcis-2071	88	2	detection	detection	NOUN
fcis-2071	88	3	of	of	ADP
fcis-2071	88	4	the	the	DET
fcis-2071	88	5	moisture	moisture	NOUN
fcis-2071	88	6	content	content	NOUN
fcis-2071	88	7	of	of	ADP
fcis-2071	88	8	tea	tea	NOUN
fcis-2071	88	9	leaves	leave	NOUN
fcis-2071	88	10	with	with	ADP
fcis-2071	88	11	hyperspectral	hyperspectral	ADJ
fcis-2071	88	12	imaging	imaging	NOUN
fcis-2071	88	13	technology[j	technology[j	NOUN
fcis-2071	88	14	]	]	PUNCT
fcis-2071	88	15	.	.	PUNCT
fcis-2071	89	1	journal	journal	PROPN
fcis-2071	89	2	of	of	ADP
fcis-2071	89	3	food	food	NOUN
fcis-2071	89	4	engineering	engineering	NOUN
fcis-2071	89	5	,	,	PUNCT
fcis-2071	89	6	2019	2019	NUM
fcis-2071	89	7	,	,	PUNCT
fcis-2071	89	8	248	248	NUM
fcis-2071	89	9	:	:	PUNCT
fcis-2071	89	10	89	89	NUM
fcis-2071	89	11	-	-	SYM
fcis-2071	89	12	96	96	NUM
fcis-2071	89	13	.	.	PUNCT
fcis-2071	90	1	[	[	X
fcis-2071	90	2	4	4	X
fcis-2071	90	3	]	]	X
fcis-2071	90	4	jabeen	jabeen	PROPN
fcis-2071	90	5	s	s	PROPN
fcis-2071	90	6	,	,	PUNCT
fcis-2071	90	7	alam	alam	PROPN
fcis-2071	90	8	s	s	PROPN
fcis-2071	90	9	,	,	PUNCT
fcis-2071	90	10	saleem	saleem	PROPN
fcis-2071	90	11	m	m	PROPN
fcis-2071	90	12	,	,	PUNCT
fcis-2071	90	13	et	et	PROPN
fcis-2071	90	14	al	al	PROPN
fcis-2071	90	15	.	.	PUNCT
fcis-2071	90	16	withering	wither	VERB
fcis-2071	90	17	timings	timing	NOUN
fcis-2071	90	18	affect	affect	VERB
fcis-2071	90	19	the	the	DET
fcis-2071	90	20	total	total	ADJ
fcis-2071	90	21	free	free	ADJ
fcis-2071	90	22	amino	amino	NOUN
fcis-2071	90	23	acids	acid	NOUN
fcis-2071	90	24	and	and	CCONJ
fcis-2071	90	25	mineral	mineral	NOUN
fcis-2071	90	26	contents	content	NOUN
fcis-2071	90	27	of	of	ADP
fcis-2071	90	28	tea	tea	NOUN
fcis-2071	90	29	leaves	leave	NOUN
fcis-2071	90	30	during	during	ADP
fcis-2071	90	31	black	black	ADJ
fcis-2071	90	32	tea	tea	NOUN
fcis-2071	90	33	manufacturing[j	manufacturing[j	NOUN
fcis-2071	90	34	]	]	PUNCT
fcis-2071	90	35	.	.	PUNCT
fcis-2071	91	1	arabian	arabian	ADJ
fcis-2071	91	2	journal	journal	PROPN
fcis-2071	91	3	of	of	ADP
fcis-2071	91	4	chemistry	chemistry	NOUN
fcis-2071	91	5	,	,	PUNCT
fcis-2071	91	6	2019	2019	NUM
fcis-2071	91	7	,	,	PUNCT
fcis-2071	91	8	12(8):s	12(8):s	NUM
fcis-2071	91	9	2411	2411	NUM
fcis-2071	91	10	-	-	SYM
fcis-2071	91	11	2417	2417	NUM
fcis-2071	91	12	.	.	PUNCT
fcis-2071	92	1	[	[	X
fcis-2071	92	2	5	5	X
fcis-2071	92	3	]	]	X
fcis-2071	92	4	qu	qu	X
fcis-2071	92	5	s	s	PROPN
fcis-2071	92	6	,	,	PUNCT
fcis-2071	92	7	li	li	PROPN
fcis-2071	92	8	x	x	PROPN
fcis-2071	92	9	,	,	PUNCT
fcis-2071	92	10	gan	gan	PROPN
fcis-2071	92	11	z	z	PROPN
fcis-2071	92	12	.	.	PUNCT
fcis-2071	93	1	a	a	DET
fcis-2071	93	2	review	review	NOUN
fcis-2071	93	3	of	of	ADP
fcis-2071	93	4	hyperspectral	hyperspectral	ADJ
fcis-2071	93	5	image	image	NOUN
fcis-2071	93	6	classification	classification	NOUN
fcis-2071	93	7	based	base	VERB
fcis-2071	93	8	on	on	ADP
fcis-2071	93	9	joint	joint	ADJ
fcis-2071	93	10	spatial	spatial	ADJ
fcis-2071	93	11	-	-	PUNCT
fcis-2071	93	12	spectral	spectral	ADJ
fcis-2071	93	13	features[j	features[j	NOUN
fcis-2071	93	14	]	]	PUNCT
fcis-2071	93	15	.	.	PUNCT
fcis-2071	94	1	journal	journal	PROPN
fcis-2071	94	2	of	of	ADP
fcis-2071	94	3	physics	physics	PROPN
fcis-2071	94	4	:	:	PUNCT
fcis-2071	94	5	conference	conference	NOUN
fcis-2071	94	6	series	series	NOUN
fcis-2071	94	7	,	,	PUNCT
fcis-2071	94	8	2022	2022	NUM
fcis-2071	94	9	,	,	PUNCT
fcis-2071	94	10	2203(1):012040	2203(1):012040	NUM
fcis-2071	94	11	.	.	PUNCT
fcis-2071	95	1	[	[	X
fcis-2071	95	2	6	6	NUM
fcis-2071	95	3	]	]	X
fcis-2071	95	4	zhao	zhao	PROPN
fcis-2071	95	5	jw	jw	PROPN
fcis-2071	95	6	,	,	PUNCT
fcis-2071	95	7	guo	guo	PROPN
fcis-2071	95	8	zm	zm	PROPN
fcis-2071	95	9	,	,	PUNCT
fcis-2071	95	10	chen	chen	PROPN
fcis-2071	95	11	js	js	PROPN
fcis-2071	95	12	,	,	PUNCT
fcis-2071	95	13	et	et	PROPN
fcis-2071	95	14	al	al	PROPN
fcis-2071	95	15	.	.	PROPN
fcis-2071	96	1	rapid	rapid	ADJ
fcis-2071	96	2	determination	determination	NOUN
fcis-2071	96	3	of	of	ADP
fcis-2071	96	4	catechin	catechin	NOUN
fcis-2071	96	5	in	in	ADP
fcis-2071	96	6	green	green	ADJ
fcis-2071	96	7	tea	tea	NOUN
fcis-2071	96	8	by	by	ADP
fcis-2071	96	9	near	near	ADV
fcis-2071	96	10	-	-	PUNCT
fcis-2071	96	11	infrared	infrared	ADJ
fcis-2071	96	12	spectroscopy	spectroscopy	NOUN
fcis-2071	96	13	green	green	ADJ
fcis-2071	96	14	tea	tea	NOUN
fcis-2071	97	1	[	[	X
fcis-2071	97	2	j	j	X
fcis-2071	97	3	]	]	X
fcis-2071	97	4	.	.	PUNCT
fcis-2071	98	1	journal	journal	PROPN
fcis-2071	98	2	of	of	ADP
fcis-2071	98	3	optics	optic	NOUN
fcis-2071	98	4	,	,	PUNCT
fcis-2071	98	5	2008	2008	NUM
fcis-2071	98	6	,	,	PUNCT
fcis-2071	98	7	28	28	NUM
fcis-2071	98	8	(	(	PUNCT
fcis-2071	98	9	12	12	NUM
fcis-2071	98	10	)	)	PUNCT
fcis-2071	98	11	:	:	PUNCT
fcis-2071	98	12	2302	2302	NUM
fcis-2071	98	13	-	-	SYM
fcis-2071	98	14	2306	2306	NUM
fcis-2071	98	15	.	.	PUNCT
fcis-2071	99	1	[	[	X
fcis-2071	99	2	7	7	X
fcis-2071	99	3	]	]	X
fcis-2071	99	4	zhou	zhou	PROPN
fcis-2071	99	5	xiaofen	xiaofen	PROPN
fcis-2071	99	6	,	,	PUNCT
fcis-2071	99	7	ye	ye	PROPN
fcis-2071	99	8	yang	yang	PROPN
fcis-2071	99	9	,	,	PUNCT
fcis-2071	99	10	zhou	zhou	PROPN
fcis-2071	99	11	zhuding	zhuding	PROPN
fcis-2071	99	12	,	,	PUNCT
fcis-2071	99	13	et	et	PROPN
fcis-2071	99	14	al	al	PROPN
fcis-2071	99	15	.	.	PUNCT
fcis-2071	100	1	a	a	DET
fcis-2071	100	2	study	study	NOUN
fcis-2071	100	3	on	on	ADP
fcis-2071	100	4	the	the	DET
fcis-2071	100	5	quality	quality	NOUN
fcis-2071	100	6	evaluation	evaluation	NOUN
fcis-2071	100	7	of	of	ADP
fcis-2071	100	8	dafo	dafo	PROPN
fcis-2071	100	9	tea	tea	NOUN
fcis-2071	100	10	based	base	VERB
fcis-2071	100	11	on	on	ADP
fcis-2071	100	12	near	near	ADV
fcis-2071	100	13	-	-	PUNCT
fcis-2071	100	14	infrared	infrared	ADJ
fcis-2071	100	15	spectroscopy	spectroscopy	NOUN
fcis-2071	100	16	longjing	longje	VERB
fcis-2071	100	17	tea	tea	NOUN
fcis-2071	100	18	quality	quality	NOUN
fcis-2071	100	19	evaluation	evaluation	NOUN
fcis-2071	100	20	based	base	VERB
fcis-2071	100	21	on	on	ADP
fcis-2071	100	22	nir	nir	ADJ
fcis-2071	100	23	spectroscopy	spectroscopy	NOUN
fcis-2071	100	24	[	[	X
fcis-2071	100	25	j	j	X
fcis-2071	100	26	]	]	X
fcis-2071	100	27	.	.	PUNCT
fcis-2071	101	1	spectroscopy	spectroscopy	NOUN
fcis-2071	101	2	and	and	CCONJ
fcis-2071	101	3	spectral	spectral	ADJ
fcis-2071	101	4	analysis	analysis	NOUN
fcis-2071	101	5	,	,	PUNCT
fcis-2071	101	6	2012	2012	NUM
fcis-2071	101	7	,	,	PUNCT
fcis-2071	101	8	32	32	NUM
fcis-2071	101	9	(	(	PUNCT
fcis-2071	101	10	11	11	NUM
fcis-2071	101	11	):	):	PUNCT
fcis-2071	101	12	2971	2971	NUM
fcis-2071	101	13	2975	2975	NUM
fcis-2071	101	14	.	.	PUNCT
fcis-2071	102	1	[	[	X
fcis-2071	102	2	8	8	NUM
fcis-2071	102	3	]	]	X
fcis-2071	102	4	wu	wu	PROPN
fcis-2071	102	5	weibin	weibin	PROPN
fcis-2071	102	6	,	,	PUNCT
fcis-2071	102	7	liu	liu	PROPN
fcis-2071	102	8	wenchao	wenchao	PROPN
fcis-2071	102	9	,	,	PUNCT
fcis-2071	102	10	li	li	PROPN
fcis-2071	102	11	zeyi	zeyi	PROPN
fcis-2071	102	12	,	,	PUNCT
fcis-2071	102	13	et	et	PROPN
fcis-2071	102	14	al	al	PROPN
fcis-2071	102	15	.	.	PUNCT
fcis-2071	102	16	establishment	establishment	NOUN
fcis-2071	102	17	and	and	CCONJ
fcis-2071	102	18	experimental	experimental	ADJ
fcis-2071	102	19	study	study	NOUN
fcis-2071	102	20	of	of	ADP
fcis-2071	102	21	hyperspectral	hyperspectral	NOUN
fcis-2071	102	22	-	-	PUNCT
fcis-2071	102	23	based	base	VERB
fcis-2071	102	24	water	water	NOUN
fcis-2071	102	25	content	content	NOUN
fcis-2071	102	26	detection	detection	NOUN
fcis-2071	102	27	model	model	NOUN
fcis-2071	102	28	of	of	ADP
fcis-2071	102	29	tea	tea	NOUN
fcis-2071	102	30	leaves[j	leaves[j	PROPN
fcis-2071	102	31	]	]	PUNCT
fcis-2071	102	32	.	.	PUNCT
fcis-2071	103	1	journal	journal	PROPN
fcis-2071	103	2	of	of	ADP
fcis-2071	103	3	henan	henan	PROPN
fcis-2071	103	4	agricultural	agricultural	PROPN
fcis-2071	103	5	university	university	PROPN
fcis-2071	103	6	,	,	PUNCT
fcis-2071	103	7	2018	2018	NUM
fcis-2071	103	8	,	,	PUNCT
fcis-2071	103	9	52(5):7	52(5):7	NUM
fcis-2071	103	10	.	.	PUNCT
fcis-2071	104	1	[	[	X
fcis-2071	104	2	9	9	NUM
fcis-2071	104	3	]	]	PUNCT
fcis-2071	104	4	yw	yw	X
fcis-2071	104	5	a	a	PRON
fcis-2071	104	6	,	,	PUNCT
fcis-2071	104	7	xl	xl	PROPN
fcis-2071	104	8	b	b	PROPN
fcis-2071	104	9	,	,	PUNCT
fcis-2071	104	10	yong	yong	PROPN
fcis-2071	104	11	h	h	PROPN
fcis-2071	104	12	b	b	PROPN
fcis-2071	104	13	.	.	PUNCT
fcis-2071	105	1	generalisation	generalisation	NOUN
fcis-2071	105	2	of	of	ADP
fcis-2071	105	3	tea	tea	NOUN
fcis-2071	105	4	moisture	moisture	NOUN
fcis-2071	105	5	content	content	NOUN
fcis-2071	105	6	models	model	NOUN
fcis-2071	105	7	based	base	VERB
fcis-2071	105	8	on	on	ADP
fcis-2071	105	9	vnir	vnir	NOUN
fcis-2071	105	10	spectra	spectra	NOUN
fcis-2071	105	11	subjected	subject	VERB
fcis-2071	105	12	to	to	ADP
fcis-2071	105	13	fractional	fractional	ADJ
fcis-2071	105	14	differential	differential	NOUN
fcis-2071	105	15	treatment[j	treatment[j	NOUN
fcis-2071	105	16	]	]	PUNCT
fcis-2071	105	17	.	.	PUNCT
fcis-2071	106	1	biosystems	biosystems	PROPN
fcis-2071	106	2	engineering	engineering	PROPN
fcis-2071	106	3	,	,	PUNCT
fcis-2071	106	4	2021	2021	NUM
fcis-2071	106	5	,	,	PUNCT
fcis-2071	106	6	205:174	205:174	NUM
fcis-2071	106	7	-	-	SYM
fcis-2071	106	8	186	186	NUM
fcis-2071	106	9	.	.	PUNCT
fcis-2071	107	1	[	[	X
fcis-2071	107	2	10	10	NUM
fcis-2071	107	3	]	]	X
fcis-2071	107	4	wei	wei	PROPN
fcis-2071	107	5	y	y	PROPN
fcis-2071	107	6	,	,	PUNCT
fcis-2071	107	7	he	he	PRON
fcis-2071	107	8	y	y	PROPN
fcis-2071	107	9	,	,	PUNCT
fcis-2071	107	10	li	li	PROPN
fcis-2071	107	11	x	x	X
fcis-2071	107	12	.	.	PUNCT
fcis-2071	108	1	tea	tea	NOUN
fcis-2071	108	2	moisture	moisture	NOUN
fcis-2071	108	3	content	content	NOUN
fcis-2071	108	4	detection	detection	NOUN
fcis-2071	108	5	with	with	ADP
fcis-2071	108	6	multispectral	multispectral	ADJ
fcis-2071	108	7	and	and	CCONJ
fcis-2071	108	8	depth	depth	NOUN
fcis-2071	108	9	images[j	images[j	NOUN
fcis-2071	108	10	]	]	PUNCT
fcis-2071	108	11	.	.	PUNCT
fcis-2071	109	1	computers	computer	NOUN
fcis-2071	109	2	and	and	CCONJ
fcis-2071	109	3	electronics	electronic	NOUN
fcis-2071	109	4	in	in	ADP
fcis-2071	109	5	agriculture	agriculture	NOUN
fcis-2071	109	6	,	,	PUNCT
fcis-2071	109	7	2021	2021	NUM
fcis-2071	109	8	,	,	PUNCT
fcis-2071	109	9	183:106082	183:106082	NUM
fcis-2071	109	10	.	.	PUNCT