id	sid	tid	token	lemma	pos
ecletica-1009	1	1	original	original	ADJ
ecletica-1009	1	2	article	article	NOUN
ecletica-1009	1	3	iq.unesp.br/ecletica	iq.unesp.br/ecletica	PROPN
ecletica-1009	1	4	|	|	ADV
ecletica-1009	1	5	vol	vol	NOUN
ecletica-1009	1	6	.	.	PROPN
ecletica-1009	1	7	45	45	NUM
ecletica-1009	1	8	|	|	ADV
ecletica-1009	1	9	n.	n.	NOUN
ecletica-1009	1	10	1	1	NUM
ecletica-1009	2	1	|	|	NOUN
ecletica-1009	2	2	2020	2020	NUM
ecletica-1009	3	1	|	|	ADV
ecletica-1009	3	2	11	11	NUM
ecletica-1009	3	3	eclética	eclética	PROPN
ecletica-1009	3	4	química	química	PROPN
ecletica-1009	3	5	journal	journal	PROPN
ecletica-1009	3	6	,	,	PUNCT
ecletica-1009	3	7	vol	vol	NOUN
ecletica-1009	3	8	.	.	PROPN
ecletica-1009	3	9	45	45	NUM
ecletica-1009	3	10	,	,	PUNCT
ecletica-1009	3	11	n.	n.	NOUN
ecletica-1009	3	12	1	1	NUM
ecletica-1009	3	13	,	,	PUNCT
ecletica-1009	3	14	2020	2020	NUM
ecletica-1009	3	15	,	,	PUNCT
ecletica-1009	3	16	11	11	NUM
ecletica-1009	3	17	-	-	SYM
ecletica-1009	3	18	17	17	NUM
ecletica-1009	3	19	issn	issn	NOUN
ecletica-1009	3	20	:	:	PUNCT
ecletica-1009	3	21	1678	1678	NUM
ecletica-1009	3	22	-	-	SYM
ecletica-1009	3	23	4618	4618	NUM
ecletica-1009	3	24	doi	doi	NOUN
ecletica-1009	3	25	:	:	PUNCT
ecletica-1009	3	26	10.26850/1678	10.26850/1678	NUM
ecletica-1009	3	27	-	-	PUNCT
ecletica-1009	3	28	4618eqj.v45.1.2020.p11	4618eqj.v45.1.2020.p11	NUM
ecletica-1009	3	29	-	-	PUNCT
ecletica-1009	3	30	17	17	NUM
ecletica-1009	3	31	abstract	abstract	NOUN
ecletica-1009	3	32	:	:	PUNCT
ecletica-1009	3	33	dry	dry	ADJ
ecletica-1009	3	34	grains	grain	NOUN
ecletica-1009	3	35	from	from	ADP
ecletica-1009	3	36	leguminous	leguminous	ADJ
ecletica-1009	3	37	species	specie	NOUN
ecletica-1009	3	38	,	,	PUNCT
ecletica-1009	3	39	such	such	ADJ
ecletica-1009	3	40	as	as	ADP
ecletica-1009	3	41	soybeans	soybean	NOUN
ecletica-1009	3	42	(	(	PUNCT
ecletica-1009	3	43	glycine	glycine	NOUN
ecletica-1009	3	44	max	max	PROPN
ecletica-1009	3	45	l.	l.	PROPN
ecletica-1009	3	46	)	)	PUNCT
ecletica-1009	3	47	,	,	PUNCT
ecletica-1009	3	48	common	common	ADJ
ecletica-1009	3	49	beans	bean	NOUN
ecletica-1009	3	50	(	(	PUNCT
ecletica-1009	3	51	phaseolus	phaseolus	X
ecletica-1009	3	52	vulgaris	vulgaris	X
ecletica-1009	3	53	l.	l.	PROPN
ecletica-1009	3	54	)	)	PUNCT
ecletica-1009	3	55	,	,	PUNCT
ecletica-1009	3	56	chickpeas	chickpeas	NOUN
ecletica-1009	3	57	(	(	PUNCT
ecletica-1009	3	58	cicer	cicer	VERB
ecletica-1009	3	59	arietinum	arietinum	DET
ecletica-1009	3	60	l.	l.	PROPN
ecletica-1009	3	61	)	)	PUNCT
ecletica-1009	3	62	and	and	CCONJ
ecletica-1009	3	63	corn	corn	NOUN
ecletica-1009	3	64	(	(	PUNCT
ecletica-1009	3	65	zea	zea	PROPN
ecletica-1009	3	66	mays	mays	PROPN
ecletica-1009	3	67	l.	l.	PROPN
ecletica-1009	3	68	)	)	PUNCT
ecletica-1009	3	69	,	,	PUNCT
ecletica-1009	3	70	are	be	AUX
ecletica-1009	3	71	regularly	regularly	ADV
ecletica-1009	3	72	consumed	consume	VERB
ecletica-1009	3	73	for	for	ADP
ecletica-1009	3	74	human	human	ADJ
ecletica-1009	3	75	nutrition	nutrition	NOUN
ecletica-1009	3	76	.	.	PUNCT
ecletica-1009	4	1	this	this	DET
ecletica-1009	4	2	paper	paper	NOUN
ecletica-1009	4	3	showed	show	VERB
ecletica-1009	4	4	the	the	DET
ecletica-1009	4	5	possibility	possibility	NOUN
ecletica-1009	4	6	of	of	ADP
ecletica-1009	4	7	estimating	estimate	VERB
ecletica-1009	4	8	bulk	bulk	ADJ
ecletica-1009	4	9	density	density	NOUN
ecletica-1009	4	10	as	as	ADP
ecletica-1009	4	11	quality	quality	NOUN
ecletica-1009	4	12	parameter	parameter	NOUN
ecletica-1009	4	13	of	of	ADP
ecletica-1009	4	14	4	4	NUM
ecletica-1009	4	15	different	different	ADJ
ecletica-1009	4	16	dry	dry	ADJ
ecletica-1009	4	17	grains	grain	NOUN
ecletica-1009	4	18	(	(	PUNCT
ecletica-1009	4	19	soybeans	soybean	NOUN
ecletica-1009	4	20	,	,	PUNCT
ecletica-1009	4	21	common	common	ADJ
ecletica-1009	4	22	beans	bean	NOUN
ecletica-1009	4	23	,	,	PUNCT
ecletica-1009	4	24	chickpeas	chickpeas	NOUN
ecletica-1009	4	25	and	and	CCONJ
ecletica-1009	4	26	corn	corn	NOUN
ecletica-1009	4	27	)	)	PUNCT
ecletica-1009	4	28	in	in	ADP
ecletica-1009	4	29	a	a	DET
ecletica-1009	4	30	same	same	ADJ
ecletica-1009	4	31	model	model	NOUN
ecletica-1009	4	32	using	use	VERB
ecletica-1009	4	33	the	the	DET
ecletica-1009	4	34	average	average	ADJ
ecletica-1009	4	35	values	value	NOUN
ecletica-1009	4	36	of	of	ADP
ecletica-1009	4	37	color	color	NOUN
ecletica-1009	4	38	descriptors	descriptor	NOUN
ecletica-1009	4	39	from	from	ADP
ecletica-1009	4	40	digital	digital	ADJ
ecletica-1009	4	41	images	image	NOUN
ecletica-1009	4	42	combined	combine	VERB
ecletica-1009	4	43	with	with	ADP
ecletica-1009	4	44	an	an	DET
ecletica-1009	4	45	artificial	artificial	ADJ
ecletica-1009	4	46	neural	neural	ADJ
ecletica-1009	4	47	network	network	NOUN
ecletica-1009	4	48	,	,	PUNCT
ecletica-1009	4	49	with	with	ADP
ecletica-1009	4	50	low	low	ADJ
ecletica-1009	4	51	computational	computational	ADJ
ecletica-1009	4	52	costs	cost	NOUN
ecletica-1009	4	53	.	.	PUNCT
ecletica-1009	5	1	these	these	DET
ecletica-1009	5	2	food	food	NOUN
ecletica-1009	5	3	products	product	NOUN
ecletica-1009	5	4	are	be	AUX
ecletica-1009	5	5	good	good	ADJ
ecletica-1009	5	6	sources	source	NOUN
ecletica-1009	5	7	of	of	ADP
ecletica-1009	5	8	carbohydrates	carbohydrate	NOUN
ecletica-1009	5	9	,	,	PUNCT
ecletica-1009	5	10	protein	protein	NOUN
ecletica-1009	5	11	and	and	CCONJ
ecletica-1009	5	12	dietary	dietary	ADJ
ecletica-1009	5	13	fiber	fiber	NOUN
ecletica-1009	5	14	,	,	PUNCT
ecletica-1009	5	15	and	and	CCONJ
ecletica-1009	5	16	they	they	PRON
ecletica-1009	5	17	possess	possess	VERB
ecletica-1009	5	18	significant	significant	ADJ
ecletica-1009	5	19	amounts	amount	NOUN
ecletica-1009	5	20	of	of	ADP
ecletica-1009	5	21	vitamins	vitamin	NOUN
ecletica-1009	5	22	and	and	CCONJ
ecletica-1009	5	23	minerals	mineral	NOUN
ecletica-1009	5	24	and	and	CCONJ
ecletica-1009	5	25	a	a	DET
ecletica-1009	5	26	high	high	ADJ
ecletica-1009	5	27	energetic	energetic	ADJ
ecletica-1009	5	28	value	value	NOUN
ecletica-1009	5	29	.	.	PUNCT
ecletica-1009	6	1	estimation	estimation	NOUN
ecletica-1009	6	2	of	of	ADP
ecletica-1009	6	3	the	the	DET
ecletica-1009	6	4	physicochemical	physicochemical	ADJ
ecletica-1009	6	5	properties	property	NOUN
ecletica-1009	6	6	of	of	ADP
ecletica-1009	6	7	grains	grain	NOUN
ecletica-1009	6	8	is	be	AUX
ecletica-1009	6	9	challenging	challenge	VERB
ecletica-1009	6	10	due	due	ADJ
ecletica-1009	6	11	to	to	ADP
ecletica-1009	6	12	variations	variation	NOUN
ecletica-1009	6	13	in	in	ADP
ecletica-1009	6	14	shape	shape	NOUN
ecletica-1009	6	15	,	,	PUNCT
ecletica-1009	6	16	texture	texture	NOUN
ecletica-1009	6	17	,	,	PUNCT
ecletica-1009	6	18	and	and	CCONJ
ecletica-1009	6	19	size	size	NOUN
ecletica-1009	6	20	and	and	CCONJ
ecletica-1009	6	21	because	because	SCONJ
ecletica-1009	6	22	the	the	DET
ecletica-1009	6	23	grain	grain	NOUN
ecletica-1009	6	24	colors	color	NOUN
ecletica-1009	6	25	appear	appear	VERB
ecletica-1009	6	26	similar	similar	ADJ
ecletica-1009	6	27	to	to	ADP
ecletica-1009	6	28	the	the	DET
ecletica-1009	6	29	naked	naked	ADJ
ecletica-1009	6	30	eye	eye	NOUN
ecletica-1009	6	31	.	.	PUNCT
ecletica-1009	7	1	in	in	ADP
ecletica-1009	7	2	this	this	DET
ecletica-1009	7	3	work	work	NOUN
ecletica-1009	7	4	,	,	PUNCT
ecletica-1009	7	5	an	an	DET
ecletica-1009	7	6	analytical	analytical	ADJ
ecletica-1009	7	7	method	method	NOUN
ecletica-1009	7	8	was	be	AUX
ecletica-1009	7	9	developed	develop	VERB
ecletica-1009	7	10	based	base	VERB
ecletica-1009	7	11	on	on	ADP
ecletica-1009	7	12	digital	digital	ADJ
ecletica-1009	7	13	images	image	NOUN
ecletica-1009	7	14	converted	convert	VERB
ecletica-1009	7	15	into	into	ADP
ecletica-1009	7	16	ten	ten	NUM
ecletica-1009	7	17	color	color	NOUN
ecletica-1009	7	18	scale	scale	NOUN
ecletica-1009	7	19	descriptors	descriptor	NOUN
ecletica-1009	7	20	combined	combine	VERB
ecletica-1009	7	21	with	with	ADP
ecletica-1009	7	22	a	a	DET
ecletica-1009	7	23	neural	neural	ADJ
ecletica-1009	7	24	model	model	NOUN
ecletica-1009	7	25	to	to	PART
ecletica-1009	7	26	provide	provide	VERB
ecletica-1009	7	27	an	an	DET
ecletica-1009	7	28	accurate	accurate	ADJ
ecletica-1009	7	29	parameter	parameter	NOUN
ecletica-1009	7	30	for	for	ADP
ecletica-1009	7	31	grain	grain	NOUN
ecletica-1009	7	32	quality	quality	NOUN
ecletica-1009	7	33	control	control	NOUN
ecletica-1009	7	34	with	with	ADP
ecletica-1009	7	35	a	a	DET
ecletica-1009	7	36	low	low	ADJ
ecletica-1009	7	37	computational	computational	ADJ
ecletica-1009	7	38	cost	cost	NOUN
ecletica-1009	7	39	.	.	PUNCT
ecletica-1009	8	1	the	the	DET
ecletica-1009	8	2	bulk	bulk	ADJ
ecletica-1009	8	3	densities	density	NOUN
ecletica-1009	8	4	of	of	ADP
ecletica-1009	8	5	four	four	NUM
ecletica-1009	8	6	type	type	NOUN
ecletica-1009	8	7	of	of	ADP
ecletica-1009	8	8	grains	grain	NOUN
ecletica-1009	8	9	,	,	PUNCT
ecletica-1009	8	10	i.e.	i.e.	X
ecletica-1009	8	11	,	,	PUNCT
ecletica-1009	8	12	soybeans	soybean	NOUN
ecletica-1009	8	13	,	,	PUNCT
ecletica-1009	8	14	beans	bean	NOUN
ecletica-1009	8	15	,	,	PUNCT
ecletica-1009	8	16	chickpeas	chickpeas	NOUN
ecletica-1009	8	17	and	and	CCONJ
ecletica-1009	8	18	corn	corn	NOUN
ecletica-1009	8	19	,	,	PUNCT
ecletica-1009	8	20	were	be	AUX
ecletica-1009	8	21	predicted	predict	VERB
ecletica-1009	8	22	using	use	VERB
ecletica-1009	8	23	numerical	numerical	ADJ
ecletica-1009	8	24	data	datum	NOUN
ecletica-1009	8	25	represented	represent	VERB
ecletica-1009	8	26	by	by	ADP
ecletica-1009	8	27	the	the	DET
ecletica-1009	8	28	average	average	ADJ
ecletica-1009	8	29	values	value	NOUN
ecletica-1009	8	30	of	of	ADP
ecletica-1009	8	31	color	color	NOUN
ecletica-1009	8	32	histograms	histogram	NOUN
ecletica-1009	8	33	of	of	ADP
ecletica-1009	8	34	a	a	DET
ecletica-1009	8	35	ten	ten	NUM
ecletica-1009	8	36	color	color	NOUN
ecletica-1009	8	37	scale	scale	NOUN
ecletica-1009	8	38	(	(	PUNCT
ecletica-1009	8	39	red	red	ADJ
ecletica-1009	8	40	r	r	NOUN
ecletica-1009	8	41	,	,	PUNCT
ecletica-1009	8	42	green	green	ADJ
ecletica-1009	8	43	g	g	NOUN
ecletica-1009	8	44	,	,	PUNCT
ecletica-1009	8	45	blue	blue	PROPN
ecletica-1009	8	46	b	b	NOUN
ecletica-1009	8	47	,	,	PUNCT
ecletica-1009	8	48	hue	hue	ADJ
ecletica-1009	8	49	h	h	NOUN
ecletica-1009	8	50	,	,	PUNCT
ecletica-1009	8	51	saturation	saturation	NOUN
ecletica-1009	8	52	s	s	PART
ecletica-1009	8	53	,	,	PUNCT
ecletica-1009	8	54	value	value	NOUN
ecletica-1009	8	55	v	v	NOUN
ecletica-1009	8	56	,	,	PUNCT
ecletica-1009	8	57	relative	relative	ADJ
ecletica-1009	8	58	rgb	rgb	PROPN
ecletica-1009	8	59	and	and	CCONJ
ecletica-1009	8	60	luminosity	luminosity	NOUN
ecletica-1009	8	61	l	l	PROPN
ecletica-1009	8	62	)	)	PUNCT
ecletica-1009	8	63	from	from	ADP
ecletica-1009	8	64	digital	digital	ADJ
ecletica-1009	8	65	images	image	NOUN
ecletica-1009	8	66	combined	combine	VERB
ecletica-1009	8	67	with	with	ADP
ecletica-1009	8	68	artificial	artificial	ADJ
ecletica-1009	8	69	neural	neural	ADJ
ecletica-1009	8	70	networks	network	NOUN
ecletica-1009	8	71	(	(	PUNCT
ecletica-1009	8	72	anns	anns	PROPN
ecletica-1009	8	73	)	)	PUNCT
ecletica-1009	8	74	.	.	PUNCT
ecletica-1009	9	1	the	the	DET
ecletica-1009	9	2	reference	reference	NOUN
ecletica-1009	9	3	bulk	bulk	NOUN
ecletica-1009	9	4	densities	density	NOUN
ecletica-1009	9	5	were	be	AUX
ecletica-1009	9	6	empirically	empirically	ADV
ecletica-1009	9	7	measured	measure	VERB
ecletica-1009	9	8	.	.	PUNCT
ecletica-1009	10	1	a	a	DET
ecletica-1009	10	2	very	very	ADV
ecletica-1009	10	3	good	good	ADJ
ecletica-1009	10	4	correlation	correlation	NOUN
ecletica-1009	10	5	between	between	ADP
ecletica-1009	10	6	the	the	DET
ecletica-1009	10	7	reference	reference	NOUN
ecletica-1009	10	8	values	value	NOUN
ecletica-1009	10	9	and	and	CCONJ
ecletica-1009	10	10	values	value	NOUN
ecletica-1009	10	11	predicted	predict	VERB
ecletica-1009	10	12	by	by	ADP
ecletica-1009	10	13	the	the	DET
ecletica-1009	10	14	ann	ann	PROPN
ecletica-1009	10	15	was	be	AUX
ecletica-1009	10	16	achieved	achieve	VERB
ecletica-1009	10	17	,	,	PUNCT
ecletica-1009	10	18	and	and	CCONJ
ecletica-1009	10	19	with	with	ADP
ecletica-1009	10	20	a	a	DET
ecletica-1009	10	21	single	single	ADJ
ecletica-1009	10	22	ann	ann	PROPN
ecletica-1009	10	23	developed	develop	VERB
ecletica-1009	10	24	for	for	ADP
ecletica-1009	10	25	the	the	DET
ecletica-1009	10	26	four	four	NUM
ecletica-1009	10	27	grains	grain	NOUN
ecletica-1009	10	28	,	,	PUNCT
ecletica-1009	10	29	a	a	DET
ecletica-1009	10	30	correlation	correlation	NOUN
ecletica-1009	10	31	coefficient	coefficient	NOUN
ecletica-1009	10	32	of	of	ADP
ecletica-1009	10	33	0.98	0.98	NUM
ecletica-1009	10	34	was	be	AUX
ecletica-1009	10	35	observed	observe	VERB
ecletica-1009	10	36	for	for	ADP
ecletica-1009	10	37	the	the	DET
ecletica-1009	10	38	test	test	NOUN
ecletica-1009	10	39	set	set	NOUN
ecletica-1009	10	40	.	.	PUNCT
ecletica-1009	11	1	moreover	moreover	ADV
ecletica-1009	11	2	,	,	PUNCT
ecletica-1009	11	3	the	the	DET
ecletica-1009	11	4	relative	relative	ADJ
ecletica-1009	11	5	errors	error	NOUN
ecletica-1009	11	6	were	be	AUX
ecletica-1009	11	7	between	between	ADP
ecletica-1009	11	8	0.01	0.01	NUM
ecletica-1009	11	9	and	and	CCONJ
ecletica-1009	11	10	5.6	5.6	NUM
ecletica-1009	11	11	%	%	NOUN
ecletica-1009	11	12	for	for	ADP
ecletica-1009	11	13	the	the	DET
ecletica-1009	11	14	test	test	NOUN
ecletica-1009	11	15	set	set	VERB
ecletica-1009	11	16	.	.	PUNCT
ecletica-1009	12	1	estimating	estimate	VERB
ecletica-1009	12	2	bulk	bulk	ADJ
ecletica-1009	12	3	density	density	NOUN
ecletica-1009	12	4	in	in	ADP
ecletica-1009	12	5	leguminous	leguminous	ADJ
ecletica-1009	12	6	grains	grain	NOUN
ecletica-1009	12	7	with	with	ADP
ecletica-1009	12	8	different	different	ADJ
ecletica-1009	12	9	traits	trait	NOUN
ecletica-1009	12	10	using	use	VERB
ecletica-1009	12	11	color	color	NOUN
ecletica-1009	12	12	parameters	parameter	NOUN
ecletica-1009	12	13	from	from	ADP
ecletica-1009	12	14	digital	digital	ADJ
ecletica-1009	12	15	images	image	NOUN
ecletica-1009	12	16	combined	combine	VERB
ecletica-1009	12	17	with	with	ADP
ecletica-1009	12	18	artificial	artificial	ADJ
ecletica-1009	12	19	neural	neural	ADJ
ecletica-1009	12	20	networks	network	NOUN
ecletica-1009	12	21	bruna	bruna	PROPN
ecletica-1009	12	22	gava	gava	PROPN
ecletica-1009	12	23	floriam	floriam	PROPN
ecletica-1009	12	24	,	,	PUNCT
ecletica-1009	12	25	fabíola	fabíola	PROPN
ecletica-1009	12	26	manhas	manha	VERB
ecletica-1009	12	27	verbi	verbi	PROPN
ecletica-1009	12	28	pereira	pereira	PROPN
ecletica-1009	12	29	,	,	PUNCT
ecletica-1009	12	30	érica	érica	PROPN
ecletica-1009	12	31	regina	regina	PROPN
ecletica-1009	12	32	filletti+	filletti+	PROPN
ecletica-1009	12	33	são	são	PROPN
ecletica-1009	12	34	paulo	paulo	PROPN
ecletica-1009	12	35	state	state	PROPN
ecletica-1009	12	36	university	university	PROPN
ecletica-1009	12	37	(	(	PUNCT
ecletica-1009	12	38	unesp	unesp	NOUN
ecletica-1009	12	39	)	)	PUNCT
ecletica-1009	12	40	,	,	PUNCT
ecletica-1009	12	41	institute	institute	NOUN
ecletica-1009	12	42	of	of	ADP
ecletica-1009	12	43	chemistry	chemistry	NOUN
ecletica-1009	12	44	,	,	PUNCT
ecletica-1009	12	45	55	55	NUM
ecletica-1009	12	46	prof	prof	NOUN
ecletica-1009	12	47	.	.	PUNCT
ecletica-1009	13	1	francisco	francisco	PROPN
ecletica-1009	13	2	degni	degni	PROPN
ecletica-1009	13	3	st	st	PROPN
ecletica-1009	13	4	,	,	PUNCT
ecletica-1009	13	5	araraquara	araraquara	PROPN
ecletica-1009	13	6	,	,	PUNCT
ecletica-1009	13	7	são	são	PROPN
ecletica-1009	13	8	paulo	paulo	PROPN
ecletica-1009	13	9	,	,	PUNCT
ecletica-1009	13	10	brazil	brazil	PROPN
ecletica-1009	13	11	+	+	PROPN
ecletica-1009	13	12	corresponding	correspond	VERB
ecletica-1009	13	13	author	author	NOUN
ecletica-1009	13	14	:	:	PUNCT
ecletica-1009	13	15	érica	érica	PROPN
ecletica-1009	13	16	regina	regina	PROPN
ecletica-1009	13	17	filletti	filletti	PROPN
ecletica-1009	13	18	,	,	PUNCT
ecletica-1009	13	19	phone	phone	NOUN
ecletica-1009	13	20	:	:	PUNCT
ecletica-1009	13	21	+55	+55	PROPN
ecletica-1009	13	22	16	16	NUM
ecletica-1009	13	23	3301	3301	NUM
ecletica-1009	13	24	-	-	SYM
ecletica-1009	13	25	9839	9839	NUM
ecletica-1009	13	26	email	email	NOUN
ecletica-1009	13	27	address	address	NOUN
ecletica-1009	13	28	:	:	PUNCT
ecletica-1009	13	29	erica.filletti@unesp.br	erica.filletti@unesp.br	NOUN
ecletica-1009	13	30	article	article	NOUN
ecletica-1009	13	31	info	info	NOUN
ecletica-1009	13	32	article	article	NOUN
ecletica-1009	13	33	history	history	NOUN
ecletica-1009	13	34	:	:	PUNCT
ecletica-1009	13	35	received	receive	VERB
ecletica-1009	13	36	:	:	PUNCT
ecletica-1009	13	37	december	december	PROPN
ecletica-1009	13	38	18	18	NUM
ecletica-1009	13	39	,	,	PUNCT
ecletica-1009	13	40	2018	2018	NUM
ecletica-1009	13	41	accepted	accept	VERB
ecletica-1009	13	42	:	:	PUNCT
ecletica-1009	13	43	september	september	PROPN
ecletica-1009	13	44	17	17	NUM
ecletica-1009	13	45	,	,	PUNCT
ecletica-1009	13	46	2019	2019	NUM
ecletica-1009	13	47	published	publish	VERB
ecletica-1009	13	48	:	:	PUNCT
ecletica-1009	13	49	january	january	PROPN
ecletica-1009	13	50	1	1	NUM
ecletica-1009	13	51	,	,	PUNCT
ecletica-1009	13	52	2020	2020	NUM
ecletica-1009	13	53	keywords	keyword	NOUN
ecletica-1009	13	54	:	:	PUNCT
ecletica-1009	13	55	1	1	X
ecletica-1009	13	56	.	.	X
ecletica-1009	13	57	grain	grain	NOUN
ecletica-1009	13	58	2	2	NUM
ecletica-1009	13	59	.	.	PUNCT
ecletica-1009	14	1	digital	digital	ADJ
ecletica-1009	14	2	images	image	NOUN
ecletica-1009	14	3	3	3	NUM
ecletica-1009	14	4	.	.	X
ecletica-1009	14	5	bulk	bulk	ADJ
ecletica-1009	14	6	density	density	NOUN
ecletica-1009	14	7	4	4	NUM
ecletica-1009	14	8	.	.	PUNCT
ecletica-1009	15	1	learning	learn	VERB
ecletica-1009	15	2	algorithm	algorithm	NOUN
ecletica-1009	15	3	5	5	NUM
ecletica-1009	15	4	.	.	PUNCT
ecletica-1009	15	5	error	error	NOUN
ecletica-1009	15	6	propagation	propagation	NOUN
ecletica-1009	15	7	1	1	NUM
ecletica-1009	15	8	.	.	PUNCT
ecletica-1009	16	1	introduction	introduction	NOUN
ecletica-1009	16	2	soybeans	soybean	NOUN
ecletica-1009	16	3	(	(	PUNCT
ecletica-1009	16	4	glycine	glycine	NOUN
ecletica-1009	16	5	max	max	PROPN
ecletica-1009	16	6	l.	l.	PROPN
ecletica-1009	16	7	)	)	PUNCT
ecletica-1009	16	8	,	,	PUNCT
ecletica-1009	16	9	common	common	ADJ
ecletica-1009	16	10	beans	bean	NOUN
ecletica-1009	16	11	(	(	PUNCT
ecletica-1009	16	12	phaseolus	phaseolus	X
ecletica-1009	16	13	vulgaris	vulgaris	X
ecletica-1009	16	14	l.	l.	PROPN
ecletica-1009	16	15	)	)	PUNCT
ecletica-1009	16	16	,	,	PUNCT
ecletica-1009	16	17	chickpeas	chickpeas	NOUN
ecletica-1009	16	18	(	(	PUNCT
ecletica-1009	16	19	cicer	cicer	VERB
ecletica-1009	16	20	arietinum	arietinum	DET
ecletica-1009	16	21	l.	l.	PROPN
ecletica-1009	16	22	)	)	PUNCT
ecletica-1009	16	23	and	and	CCONJ
ecletica-1009	16	24	corn	corn	NOUN
ecletica-1009	16	25	(	(	PUNCT
ecletica-1009	16	26	zea	zea	PROPN
ecletica-1009	16	27	mays	mays	PROPN
ecletica-1009	16	28	l.	l.	PROPN
ecletica-1009	16	29	)	)	PUNCT
ecletica-1009	16	30	are	be	AUX
ecletica-1009	16	31	a	a	DET
ecletica-1009	16	32	part	part	NOUN
ecletica-1009	16	33	of	of	ADP
ecletica-1009	16	34	most	most	ADJ
ecletica-1009	16	35	human	human	ADJ
ecletica-1009	16	36	diets	diet	NOUN
ecletica-1009	16	37	,	,	PUNCT
ecletica-1009	16	38	regardless	regardless	ADV
ecletica-1009	16	39	of	of	ADP
ecletica-1009	16	40	culture	culture	NOUN
ecletica-1009	16	41	.	.	PUNCT
ecletica-1009	17	1	these	these	DET
ecletica-1009	17	2	grains	grain	NOUN
ecletica-1009	17	3	are	be	AUX
ecletica-1009	17	4	leguminous	leguminous	ADJ
ecletica-1009	17	5	species	specie	NOUN
ecletica-1009	17	6	consumed	consume	VERB
ecletica-1009	17	7	as	as	ADP
ecletica-1009	17	8	dry	dry	ADJ
ecletica-1009	17	9	grains	grain	NOUN
ecletica-1009	17	10	.	.	PUNCT
ecletica-1009	18	1	they	they	PRON
ecletica-1009	18	2	are	be	AUX
ecletica-1009	18	3	remarkable	remarkable	ADJ
ecletica-1009	18	4	sources	source	NOUN
ecletica-1009	18	5	of	of	ADP
ecletica-1009	18	6	carbohydrates	carbohydrate	NOUN
ecletica-1009	18	7	,	,	PUNCT
ecletica-1009	18	8	protein	protein	NOUN
ecletica-1009	18	9	and	and	CCONJ
ecletica-1009	18	10	dietary	dietary	ADJ
ecletica-1009	18	11	fiber	fiber	NOUN
ecletica-1009	18	12	,	,	PUNCT
ecletica-1009	18	13	and	and	CCONJ
ecletica-1009	18	14	they	they	PRON
ecletica-1009	18	15	possess	possess	VERB
ecletica-1009	18	16	significant	significant	ADJ
ecletica-1009	18	17	amounts	amount	NOUN
ecletica-1009	18	18	of	of	ADP
ecletica-1009	18	19	vitamins	vitamin	NOUN
ecletica-1009	18	20	and	and	CCONJ
ecletica-1009	18	21	minerals	mineral	NOUN
ecletica-1009	18	22	and	and	CCONJ
ecletica-1009	18	23	a	a	DET
ecletica-1009	18	24	high	high	ADJ
ecletica-1009	18	25	energetic	energetic	ADJ
ecletica-1009	18	26	value1	value1	NOUN
ecletica-1009	18	27	.	.	PUNCT
ecletica-1009	19	1	the	the	DET
ecletica-1009	19	2	quality	quality	NOUN
ecletica-1009	19	3	of	of	ADP
ecletica-1009	19	4	food	food	NOUN
ecletica-1009	19	5	grains	grain	NOUN
ecletica-1009	19	6	is	be	AUX
ecletica-1009	19	7	dependent	dependent	ADJ
ecletica-1009	19	8	on	on	ADP
ecletica-1009	19	9	several	several	ADJ
ecletica-1009	19	10	physicochemical	physicochemical	ADJ
ecletica-1009	19	11	parameters	parameter	NOUN
ecletica-1009	19	12	,	,	PUNCT
ecletica-1009	19	13	including	include	VERB
ecletica-1009	19	14	the	the	DET
ecletica-1009	19	15	bulk	bulk	ADJ
ecletica-1009	19	16	density	density	NOUN
ecletica-1009	19	17	(	(	PUNCT
ecletica-1009	19	18	or	or	CCONJ
ecletica-1009	19	19	density	density	NOUN
ecletica-1009	19	20	in	in	ADP
ecletica-1009	19	21	each	each	DET
ecletica-1009	19	22	mass	mass	NOUN
ecletica-1009	19	23	)	)	PUNCT
ecletica-1009	19	24	.	.	PUNCT
ecletica-1009	20	1	in	in	ADP
ecletica-1009	20	2	a	a	DET
ecletica-1009	20	3	grain	grain	NOUN
ecletica-1009	20	4	,	,	PUNCT
ecletica-1009	20	5	the	the	DET
ecletica-1009	20	6	bulk	bulk	ADJ
ecletica-1009	20	7	density	density	NOUN
ecletica-1009	20	8	is	be	AUX
ecletica-1009	20	9	more	more	ADV
ecletica-1009	20	10	closely	closely	ADV
ecletica-1009	20	11	related	relate	VERB
ecletica-1009	20	12	to	to	ADP
ecletica-1009	20	13	its	its	PRON
ecletica-1009	20	14	shape	shape	NOUN
ecletica-1009	20	15	than	than	ADP
ecletica-1009	20	16	its	its	PRON
ecletica-1009	20	17	size2	size2	NOUN
ecletica-1009	20	18	.	.	PUNCT
ecletica-1009	20	19	stored	store	VERB
ecletica-1009	20	20	food	food	NOUN
ecletica-1009	20	21	materials	material	NOUN
ecletica-1009	20	22	can	can	AUX
ecletica-1009	20	23	suffer	suffer	VERB
ecletica-1009	20	24	from	from	ADP
ecletica-1009	20	25	variations	variation	NOUN
ecletica-1009	20	26	in	in	ADP
ecletica-1009	20	27	bulk	bulk	ADJ
ecletica-1009	20	28	density	density	NOUN
ecletica-1009	20	29	according	accord	VERB
ecletica-1009	20	30	to	to	ADP
ecletica-1009	20	31	the	the	DET
ecletica-1009	20	32	bin	bin	PROPN
ecletica-1009	20	33	depth3	depth3	PROPN
ecletica-1009	20	34	.	.	PUNCT
ecletica-1009	21	1	thus	thus	ADV
ecletica-1009	21	2	,	,	PUNCT
ecletica-1009	21	3	a	a	DET
ecletica-1009	21	4	model	model	NOUN
ecletica-1009	21	5	that	that	PRON
ecletica-1009	21	6	can	can	AUX
ecletica-1009	21	7	monitor	monitor	VERB
ecletica-1009	21	8	this	this	DET
ecletica-1009	21	9	parameter	parameter	NOUN
ecletica-1009	21	10	would	would	AUX
ecletica-1009	21	11	be	be	AUX
ecletica-1009	21	12	helpful	helpful	ADJ
ecletica-1009	21	13	to	to	PART
ecletica-1009	21	14	avoid	avoid	VERB
ecletica-1009	21	15	losses	loss	NOUN
ecletica-1009	21	16	in	in	ADP
ecletica-1009	21	17	agri	agri	NOUN
ecletica-1009	21	18	-	-	PUNCT
ecletica-1009	21	19	food	food	NOUN
ecletica-1009	21	20	supply	supply	NOUN
ecletica-1009	21	21	chains	chain	NOUN
ecletica-1009	21	22	.	.	PUNCT
ecletica-1009	22	1	for	for	ADP
ecletica-1009	22	2	instance	instance	NOUN
ecletica-1009	22	3	,	,	PUNCT
ecletica-1009	22	4	in	in	ADP
ecletica-1009	22	5	the	the	DET
ecletica-1009	22	6	study	study	NOUN
ecletica-1009	22	7	by	by	ADP
ecletica-1009	22	8	bart	bart	PROPN
ecletica-1009	22	9	-	-	PUNCT
ecletica-1009	22	10	plange	plange	PROPN
ecletica-1009	22	11	and	and	CCONJ
ecletica-1009	22	12	baryeh4	baryeh4	NOUN
ecletica-1009	22	13	several	several	ADJ
ecletica-1009	22	14	laborious	laborious	ADJ
ecletica-1009	22	15	physicochemical	physicochemical	ADJ
ecletica-1009	22	16	methods	method	NOUN
ecletica-1009	22	17	were	be	AUX
ecletica-1009	22	18	applied	apply	VERB
ecletica-1009	22	19	to	to	PART
ecletica-1009	22	20	evaluate	evaluate	VERB
ecletica-1009	22	21	cocoa	cocoa	NOUN
ecletica-1009	22	22	beans	bean	NOUN
ecletica-1009	22	23	,	,	PUNCT
ecletica-1009	22	24	as	as	ADP
ecletica-1009	22	25	the	the	DET
ecletica-1009	22	26	raw	raw	ADJ
ecletica-1009	22	27	material	material	NOUN
ecletica-1009	22	28	for	for	ADP
ecletica-1009	22	29	manufacturing	manufacture	VERB
ecletica-1009	22	30	chocolate	chocolate	NOUN
ecletica-1009	22	31	and	and	CCONJ
ecletica-1009	22	32	other	other	ADJ
ecletica-1009	22	33	food	food	NOUN
ecletica-1009	22	34	products	product	NOUN
ecletica-1009	22	35	,	,	PUNCT
ecletica-1009	22	36	including	include	VERB
ecletica-1009	22	37	the	the	DET
ecletica-1009	22	38	determination	determination	NOUN
ecletica-1009	22	39	of	of	ADP
ecletica-1009	22	40	their	their	PRON
ecletica-1009	22	41	bulk	bulk	ADJ
ecletica-1009	22	42	density	density	NOUN
ecletica-1009	22	43	.	.	PUNCT
ecletica-1009	23	1	using	use	VERB
ecletica-1009	23	2	the	the	DET
ecletica-1009	23	3	method	method	NOUN
ecletica-1009	23	4	presented	present	VERB
ecletica-1009	23	5	here	here	ADV
ecletica-1009	23	6	,	,	PUNCT
ecletica-1009	23	7	the	the	DET
ecletica-1009	23	8	quality	quality	NOUN
ecletica-1009	23	9	of	of	ADP
ecletica-1009	23	10	four	four	NUM
ecletica-1009	23	11	types	type	NOUN
ecletica-1009	23	12	of	of	ADP
ecletica-1009	23	13	grains	grain	NOUN
ecletica-1009	23	14	can	can	AUX
ecletica-1009	23	15	be	be	AUX
ecletica-1009	23	16	estimated	estimate	VERB
ecletica-1009	23	17	using	use	VERB
ecletica-1009	23	18	an	an	DET
ecletica-1009	23	19	accurate	accurate	ADJ
ecletica-1009	23	20	approach	approach	NOUN
ecletica-1009	23	21	based	base	VERB
ecletica-1009	23	22	on	on	ADP
ecletica-1009	23	23	a	a	DET
ecletica-1009	23	24	relevant	relevant	ADJ
ecletica-1009	23	25	http://revista.iq.unesp.br/ojs/index.php/ecletica/index	http://revista.iq.unesp.br/ojs/index.php/ecletica/index	NOUN
ecletica-1009	23	26	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	NOUN
ecletica-1009	24	1	mailto:erica.filletti@unesp.br	mailto:erica.filletti@unesp.br	PROPN
ecletica-1009	24	2	http://orcid.org/0000-0002-8707-7785	http://orcid.org/0000-0002-8707-7785	PROPN
ecletica-1009	25	1	http://orcid.org/0000-0002-8117-2108	http://orcid.org/0000-0002-8117-2108	INTJ
ecletica-1009	25	2	http://orcid.org/0000-0003-1060-9285	http://orcid.org/0000-0003-1060-9285	PROPN
ecletica-1009	25	3	original	original	ADJ
ecletica-1009	25	4	article	article	NOUN
ecletica-1009	25	5	12	12	NUM
ecletica-1009	25	6	eclética	eclética	PROPN
ecletica-1009	25	7	química	química	PROPN
ecletica-1009	25	8	journal	journal	PROPN
ecletica-1009	25	9	,	,	PUNCT
ecletica-1009	25	10	vol	vol	NOUN
ecletica-1009	25	11	.	.	PROPN
ecletica-1009	25	12	45	45	NUM
ecletica-1009	25	13	,	,	PUNCT
ecletica-1009	25	14	n.	n.	NOUN
ecletica-1009	25	15	1	1	NUM
ecletica-1009	25	16	,	,	PUNCT
ecletica-1009	25	17	2020	2020	NUM
ecletica-1009	25	18	,	,	PUNCT
ecletica-1009	25	19	11	11	NUM
ecletica-1009	25	20	-	-	SYM
ecletica-1009	25	21	17	17	NUM
ecletica-1009	25	22	issn	issn	NOUN
ecletica-1009	25	23	:	:	PUNCT
ecletica-1009	25	24	1678	1678	NUM
ecletica-1009	25	25	-	-	SYM
ecletica-1009	25	26	4618	4618	NUM
ecletica-1009	25	27	doi	doi	NOUN
ecletica-1009	25	28	:	:	PUNCT
ecletica-1009	25	29	10.26850/1678	10.26850/1678	NUM
ecletica-1009	25	30	-	-	PUNCT
ecletica-1009	25	31	4618eqj.v45.1.2020.p11	4618eqj.v45.1.2020.p11	NUM
ecletica-1009	25	32	-	-	PUNCT
ecletica-1009	25	33	17	17	NUM
ecletica-1009	25	34	physicochemical	physicochemical	ADJ
ecletica-1009	25	35	parameter	parameter	NOUN
ecletica-1009	25	36	,	,	PUNCT
ecletica-1009	25	37	i.e.	i.e.	X
ecletica-1009	25	38	,	,	PUNCT
ecletica-1009	25	39	the	the	DET
ecletica-1009	25	40	bulk	bulk	ADJ
ecletica-1009	25	41	density	density	NOUN
ecletica-1009	25	42	,	,	PUNCT
ecletica-1009	25	43	which	which	PRON
ecletica-1009	25	44	is	be	AUX
ecletica-1009	25	45	related	relate	VERB
ecletica-1009	25	46	to	to	ADP
ecletica-1009	25	47	the	the	DET
ecletica-1009	25	48	storage	storage	NOUN
ecletica-1009	25	49	system	system	NOUN
ecletica-1009	25	50	,	,	PUNCT
ecletica-1009	25	51	type	type	NOUN
ecletica-1009	25	52	of	of	ADP
ecletica-1009	25	53	container	container	NOUN
ecletica-1009	25	54	and	and	CCONJ
ecletica-1009	25	55	characteristics	characteristic	NOUN
ecletica-1009	25	56	of	of	ADP
ecletica-1009	25	57	the	the	DET
ecletica-1009	25	58	grains	grain	NOUN
ecletica-1009	25	59	.	.	PUNCT
ecletica-1009	26	1	color	color	NOUN
ecletica-1009	26	2	data	datum	NOUN
ecletica-1009	26	3	from	from	ADP
ecletica-1009	26	4	digital	digital	ADJ
ecletica-1009	26	5	images	image	NOUN
ecletica-1009	26	6	are	be	AUX
ecletica-1009	26	7	considered	consider	VERB
ecletica-1009	26	8	reliable	reliable	ADJ
ecletica-1009	26	9	sources	source	NOUN
ecletica-1009	26	10	of	of	ADP
ecletica-1009	26	11	analytical	analytical	ADJ
ecletica-1009	26	12	information	information	NOUN
ecletica-1009	26	13	for	for	ADP
ecletica-1009	26	14	many	many	ADJ
ecletica-1009	26	15	purposes	purpose	NOUN
ecletica-1009	26	16	,	,	PUNCT
ecletica-1009	26	17	independent	independent	ADJ
ecletica-1009	26	18	of	of	ADP
ecletica-1009	26	19	the	the	DET
ecletica-1009	26	20	type	type	NOUN
ecletica-1009	26	21	of	of	ADP
ecletica-1009	26	22	device	device	NOUN
ecletica-1009	26	23	,	,	PUNCT
ecletica-1009	26	24	for	for	ADP
ecletica-1009	26	25	example	example	NOUN
ecletica-1009	26	26	,	,	PUNCT
ecletica-1009	26	27	scanners	scanner	NOUN
ecletica-1009	26	28	,	,	PUNCT
ecletica-1009	26	29	cell	cell	NOUN
ecletica-1009	26	30	phones	phone	NOUN
ecletica-1009	26	31	or	or	CCONJ
ecletica-1009	26	32	cameras5	cameras5	NOUN
ecletica-1009	26	33	.	.	PUNCT
ecletica-1009	27	1	the	the	DET
ecletica-1009	27	2	combination	combination	NOUN
ecletica-1009	27	3	of	of	ADP
ecletica-1009	27	4	digital	digital	ADJ
ecletica-1009	27	5	images	image	NOUN
ecletica-1009	27	6	and	and	CCONJ
ecletica-1009	27	7	an	an	DET
ecletica-1009	27	8	artificial	artificial	ADJ
ecletica-1009	27	9	neural	neural	ADJ
ecletica-1009	27	10	network	network	NOUN
ecletica-1009	27	11	(	(	PUNCT
ecletica-1009	27	12	ann	ann	PROPN
ecletica-1009	27	13	)	)	PUNCT
ecletica-1009	27	14	can	can	AUX
ecletica-1009	27	15	be	be	AUX
ecletica-1009	27	16	adapted	adapt	VERB
ecletica-1009	27	17	for	for	ADP
ecletica-1009	27	18	applications	application	NOUN
ecletica-1009	27	19	such	such	ADJ
ecletica-1009	27	20	as	as	ADP
ecletica-1009	27	21	the	the	DET
ecletica-1009	27	22	shape	shape	NOUN
ecletica-1009	27	23	analysis	analysis	NOUN
ecletica-1009	27	24	of	of	ADP
ecletica-1009	27	25	grains6	grains6	NOUN
ecletica-1009	27	26	and	and	CCONJ
ecletica-1009	27	27	for	for	ADP
ecletica-1009	27	28	variety	variety	NOUN
ecletica-1009	27	29	identification7	identification7	PROPN
ecletica-1009	27	30	.	.	PUNCT
ecletica-1009	28	1	however	however	ADV
ecletica-1009	28	2	,	,	PUNCT
ecletica-1009	28	3	in	in	ADP
ecletica-1009	28	4	both	both	DET
ecletica-1009	28	5	cited	cite	VERB
ecletica-1009	28	6	studies	study	NOUN
ecletica-1009	28	7	,	,	PUNCT
ecletica-1009	28	8	many	many	ADJ
ecletica-1009	28	9	complex	complex	ADJ
ecletica-1009	28	10	steps	step	NOUN
ecletica-1009	28	11	were	be	AUX
ecletica-1009	28	12	necessary	necessary	ADJ
ecletica-1009	28	13	to	to	PART
ecletica-1009	28	14	develop	develop	VERB
ecletica-1009	28	15	a	a	DET
ecletica-1009	28	16	predictive	predictive	ADJ
ecletica-1009	28	17	response	response	NOUN
ecletica-1009	28	18	model	model	NOUN
ecletica-1009	28	19	with	with	ADP
ecletica-1009	28	20	good	good	ADJ
ecletica-1009	28	21	accuracy	accuracy	NOUN
ecletica-1009	28	22	.	.	PUNCT
ecletica-1009	29	1	the	the	DET
ecletica-1009	29	2	advantage	advantage	NOUN
ecletica-1009	29	3	of	of	ADP
ecletica-1009	29	4	this	this	DET
ecletica-1009	29	5	study	study	NOUN
ecletica-1009	29	6	is	be	AUX
ecletica-1009	29	7	that	that	SCONJ
ecletica-1009	29	8	additional	additional	ADJ
ecletica-1009	29	9	information	information	NOUN
ecletica-1009	29	10	from	from	ADP
ecletica-1009	29	11	a	a	DET
ecletica-1009	29	12	color	color	NOUN
ecletica-1009	29	13	histogram	histogram	NOUN
ecletica-1009	29	14	of	of	ADP
ecletica-1009	29	15	a	a	DET
ecletica-1009	29	16	ten	ten	NUM
ecletica-1009	29	17	color	color	NOUN
ecletica-1009	29	18	scale8,9	scale8,9	PROPN
ecletica-1009	29	19	can	can	AUX
ecletica-1009	29	20	be	be	AUX
ecletica-1009	29	21	determined	determine	VERB
ecletica-1009	29	22	using	use	VERB
ecletica-1009	29	23	a	a	DET
ecletica-1009	29	24	simple	simple	ADJ
ecletica-1009	29	25	computational	computational	ADJ
ecletica-1009	29	26	routine	routine	NOUN
ecletica-1009	29	27	with	with	ADP
ecletica-1009	29	28	fast	fast	ADJ
ecletica-1009	29	29	calculations	calculation	NOUN
ecletica-1009	29	30	.	.	PUNCT
ecletica-1009	30	1	in	in	ADP
ecletica-1009	30	2	addition	addition	NOUN
ecletica-1009	30	3	,	,	PUNCT
ecletica-1009	30	4	by	by	ADP
ecletica-1009	30	5	using	use	VERB
ecletica-1009	30	6	the	the	DET
ecletica-1009	30	7	average	average	ADJ
ecletica-1009	30	8	color	color	NOUN
ecletica-1009	30	9	values	value	NOUN
ecletica-1009	30	10	instead	instead	ADV
ecletica-1009	30	11	of	of	ADP
ecletica-1009	30	12	the	the	DET
ecletica-1009	30	13	entire	entire	ADJ
ecletica-1009	30	14	color	color	NOUN
ecletica-1009	30	15	histogram	histogram	NOUN
ecletica-1009	30	16	,	,	PUNCT
ecletica-1009	30	17	which	which	PRON
ecletica-1009	30	18	includes	include	VERB
ecletica-1009	30	19	2560	2560	NUM
ecletica-1009	30	20	colors10,11	colors10,11	NOUN
ecletica-1009	30	21	,	,	PUNCT
ecletica-1009	30	22	the	the	DET
ecletica-1009	30	23	speed	speed	NOUN
ecletica-1009	30	24	of	of	ADP
ecletica-1009	30	25	the	the	DET
ecletica-1009	30	26	ann	ann	PROPN
ecletica-1009	30	27	calculations	calculation	NOUN
ecletica-1009	30	28	is	be	AUX
ecletica-1009	30	29	improved	improve	VERB
ecletica-1009	30	30	,	,	PUNCT
ecletica-1009	30	31	and	and	CCONJ
ecletica-1009	30	32	accurate	accurate	ADJ
ecletica-1009	30	33	results	result	NOUN
ecletica-1009	30	34	are	be	AUX
ecletica-1009	30	35	achieved	achieve	VERB
ecletica-1009	30	36	.	.	PUNCT
ecletica-1009	31	1	therefore	therefore	ADV
ecletica-1009	31	2	,	,	PUNCT
ecletica-1009	31	3	anns	ann	NOUN
ecletica-1009	31	4	are	be	AUX
ecletica-1009	31	5	useful	useful	ADJ
ecletica-1009	31	6	tools	tool	NOUN
ecletica-1009	31	7	for	for	ADP
ecletica-1009	31	8	this	this	DET
ecletica-1009	31	9	research	research	NOUN
ecletica-1009	31	10	because	because	SCONJ
ecletica-1009	31	11	they	they	PRON
ecletica-1009	31	12	require	require	VERB
ecletica-1009	31	13	less	less	ADV
ecletica-1009	31	14	computational	computational	ADJ
ecletica-1009	31	15	effort	effort	NOUN
ecletica-1009	31	16	than	than	ADP
ecletica-1009	31	17	other	other	ADJ
ecletica-1009	31	18	numerical	numerical	ADJ
ecletica-1009	31	19	techniques	technique	NOUN
ecletica-1009	31	20	.	.	PUNCT
ecletica-1009	32	1	anns	anns	PROPN
ecletica-1009	32	2	are	be	AUX
ecletica-1009	32	3	computational	computational	ADJ
ecletica-1009	32	4	models	model	NOUN
ecletica-1009	32	5	consisting	consist	VERB
ecletica-1009	32	6	of	of	ADP
ecletica-1009	32	7	simple	simple	ADJ
ecletica-1009	32	8	processing	processing	NOUN
ecletica-1009	32	9	units	unit	NOUN
ecletica-1009	32	10	called	call	VERB
ecletica-1009	32	11	neurons	neuron	NOUN
ecletica-1009	32	12	,	,	PUNCT
ecletica-1009	32	13	which	which	PRON
ecletica-1009	32	14	are	be	AUX
ecletica-1009	32	15	inspired	inspire	VERB
ecletica-1009	32	16	by	by	ADP
ecletica-1009	32	17	the	the	DET
ecletica-1009	32	18	central	central	ADJ
ecletica-1009	32	19	nervous	nervous	ADJ
ecletica-1009	32	20	system	system	NOUN
ecletica-1009	32	21	of	of	ADP
ecletica-1009	32	22	intelligent	intelligent	ADJ
ecletica-1009	32	23	organisms	organism	NOUN
ecletica-1009	32	24	that	that	PRON
ecletica-1009	32	25	acquire	acquire	VERB
ecletica-1009	32	26	knowledge	knowledge	NOUN
ecletica-1009	32	27	through	through	ADP
ecletica-1009	32	28	experimentation	experimentation	NOUN
ecletica-1009	32	29	;	;	PUNCT
ecletica-1009	32	30	anns	anns	PROPN
ecletica-1009	32	31	can	can	AUX
ecletica-1009	32	32	perform	perform	VERB
ecletica-1009	32	33	machine	machine	NOUN
ecletica-1009	32	34	learning	learn	VERB
ecletica-1009	32	35	to	to	PART
ecletica-1009	32	36	predict	predict	VERB
ecletica-1009	32	37	parameters	parameter	NOUN
ecletica-1009	32	38	and	and	CCONJ
ecletica-1009	32	39	recognize	recognize	VERB
ecletica-1009	32	40	patterns12,13	patterns12,13	NOUN
ecletica-1009	32	41	.	.	PUNCT
ecletica-1009	33	1	initially	initially	ADV
ecletica-1009	33	2	,	,	PUNCT
ecletica-1009	33	3	an	an	DET
ecletica-1009	33	4	ann	ann	PROPN
ecletica-1009	33	5	undergoes	undergo	VERB
ecletica-1009	33	6	a	a	DET
ecletica-1009	33	7	learning	learning	NOUN
ecletica-1009	33	8	phase	phase	NOUN
ecletica-1009	33	9	in	in	ADP
ecletica-1009	33	10	which	which	PRON
ecletica-1009	33	11	some	some	DET
ecletica-1009	33	12	examples	example	NOUN
ecletica-1009	33	13	are	be	AUX
ecletica-1009	33	14	presented	present	VERB
ecletica-1009	33	15	to	to	ADP
ecletica-1009	33	16	it	it	PRON
ecletica-1009	33	17	during	during	ADP
ecletica-1009	33	18	training	training	NOUN
ecletica-1009	33	19	,	,	PUNCT
ecletica-1009	33	20	and	and	CCONJ
ecletica-1009	33	21	it	it	PRON
ecletica-1009	33	22	automatically	automatically	ADV
ecletica-1009	33	23	extracts	extract	VERB
ecletica-1009	33	24	the	the	DET
ecletica-1009	33	25	necessary	necessary	ADJ
ecletica-1009	33	26	characteristics	characteristic	NOUN
ecletica-1009	33	27	to	to	PART
ecletica-1009	33	28	represent	represent	VERB
ecletica-1009	33	29	the	the	DET
ecletica-1009	33	30	information	information	NOUN
ecletica-1009	33	31	learned	learn	VERB
ecletica-1009	33	32	by	by	ADP
ecletica-1009	33	33	adjusting	adjust	VERB
ecletica-1009	33	34	the	the	DET
ecletica-1009	33	35	synaptic	synaptic	ADJ
ecletica-1009	33	36	weights	weight	NOUN
ecletica-1009	33	37	of	of	ADP
ecletica-1009	33	38	the	the	DET
ecletica-1009	33	39	neurons	neuron	NOUN
ecletica-1009	33	40	through	through	ADP
ecletica-1009	33	41	an	an	DET
ecletica-1009	33	42	adequate	adequate	ADJ
ecletica-1009	33	43	learning	learning	NOUN
ecletica-1009	33	44	algorithm	algorithm	NOUN
ecletica-1009	33	45	.	.	PUNCT
ecletica-1009	34	1	then	then	ADV
ecletica-1009	34	2	,	,	PUNCT
ecletica-1009	34	3	these	these	DET
ecletica-1009	34	4	characteristics	characteristic	NOUN
ecletica-1009	34	5	are	be	AUX
ecletica-1009	34	6	used	use	VERB
ecletica-1009	34	7	to	to	PART
ecletica-1009	34	8	generate	generate	VERB
ecletica-1009	34	9	answers	answer	NOUN
ecletica-1009	34	10	to	to	ADP
ecletica-1009	34	11	the	the	DET
ecletica-1009	34	12	problem	problem	NOUN
ecletica-1009	34	13	studied	study	VERB
ecletica-1009	34	14	.	.	PUNCT
ecletica-1009	35	1	in	in	ADP
ecletica-1009	35	2	other	other	ADJ
ecletica-1009	35	3	words	word	NOUN
ecletica-1009	35	4	,	,	PUNCT
ecletica-1009	35	5	by	by	ADP
ecletica-1009	35	6	providing	provide	VERB
ecletica-1009	35	7	input	input	NOUN
ecletica-1009	35	8	data	datum	NOUN
ecletica-1009	35	9	to	to	ADP
ecletica-1009	35	10	an	an	DET
ecletica-1009	35	11	ann	ann	NOUN
ecletica-1009	35	12	and	and	CCONJ
ecletica-1009	35	13	reporting	report	VERB
ecletica-1009	35	14	the	the	DET
ecletica-1009	35	15	desired	desire	VERB
ecletica-1009	35	16	output	output	NOUN
ecletica-1009	35	17	(	(	PUNCT
ecletica-1009	35	18	response	response	NOUN
ecletica-1009	35	19	)	)	PUNCT
ecletica-1009	35	20	,	,	PUNCT
ecletica-1009	35	21	the	the	DET
ecletica-1009	35	22	ann	ann	PROPN
ecletica-1009	35	23	can	can	AUX
ecletica-1009	35	24	provide	provide	VERB
ecletica-1009	35	25	coherent	coherent	ADJ
ecletica-1009	35	26	results	result	NOUN
ecletica-1009	35	27	for	for	ADP
ecletica-1009	35	28	new	new	ADJ
ecletica-1009	35	29	input	input	NOUN
ecletica-1009	35	30	data	datum	NOUN
ecletica-1009	35	31	that	that	PRON
ecletica-1009	35	32	are	be	AUX
ecletica-1009	35	33	different	different	ADJ
ecletica-1009	35	34	from	from	ADP
ecletica-1009	35	35	those	those	PRON
ecletica-1009	35	36	used	use	VERB
ecletica-1009	35	37	in	in	ADP
ecletica-1009	35	38	training	training	NOUN
ecletica-1009	35	39	.	.	PUNCT
ecletica-1009	36	1	there	there	PRON
ecletica-1009	36	2	are	be	VERB
ecletica-1009	36	3	several	several	ADJ
ecletica-1009	36	4	advantages	advantage	NOUN
ecletica-1009	36	5	to	to	ADP
ecletica-1009	36	6	using	use	VERB
ecletica-1009	36	7	anns	ann	NOUN
ecletica-1009	36	8	;	;	PUNCT
ecletica-1009	36	9	for	for	ADP
ecletica-1009	36	10	instance	instance	NOUN
ecletica-1009	36	11	,	,	PUNCT
ecletica-1009	36	12	anns	ann	NOUN
ecletica-1009	36	13	are	be	AUX
ecletica-1009	36	14	easy	easy	ADJ
ecletica-1009	36	15	to	to	PART
ecletica-1009	36	16	use	use	VERB
ecletica-1009	36	17	and	and	CCONJ
ecletica-1009	36	18	update	update	VERB
ecletica-1009	36	19	,	,	PUNCT
ecletica-1009	36	20	they	they	PRON
ecletica-1009	36	21	have	have	VERB
ecletica-1009	36	22	data	datum	NOUN
ecletica-1009	36	23	error	error	NOUN
ecletica-1009	36	24	tolerance	tolerance	NOUN
ecletica-1009	36	25	because	because	SCONJ
ecletica-1009	36	26	of	of	ADP
ecletica-1009	36	27	the	the	DET
ecletica-1009	36	28	ability	ability	NOUN
ecletica-1009	36	29	to	to	PART
ecletica-1009	36	30	respond	respond	VERB
ecletica-1009	36	31	in	in	ADP
ecletica-1009	36	32	an	an	DET
ecletica-1009	36	33	acceptable	acceptable	ADJ
ecletica-1009	36	34	way	way	NOUN
ecletica-1009	36	35	,	,	PUNCT
ecletica-1009	36	36	even	even	ADV
ecletica-1009	36	37	if	if	SCONJ
ecletica-1009	36	38	partially	partially	ADV
ecletica-1009	36	39	damaged	damage	VERB
ecletica-1009	36	40	,	,	PUNCT
ecletica-1009	36	41	they	they	PRON
ecletica-1009	36	42	have	have	VERB
ecletica-1009	36	43	great	great	ADJ
ecletica-1009	36	44	freedom	freedom	NOUN
ecletica-1009	36	45	in	in	ADP
ecletica-1009	36	46	the	the	DET
ecletica-1009	36	47	adjustment	adjustment	NOUN
ecletica-1009	36	48	of	of	ADP
ecletica-1009	36	49	synaptic	synaptic	ADJ
ecletica-1009	36	50	weights	weight	NOUN
ecletica-1009	36	51	of	of	ADP
ecletica-1009	36	52	neurons	neuron	NOUN
ecletica-1009	36	53	due	due	ADP
ecletica-1009	36	54	to	to	ADP
ecletica-1009	36	55	the	the	DET
ecletica-1009	36	56	presence	presence	NOUN
ecletica-1009	36	57	of	of	ADP
ecletica-1009	36	58	bias	bias	NOUN
ecletica-1009	36	59	,	,	PUNCT
ecletica-1009	36	60	which	which	PRON
ecletica-1009	36	61	is	be	AUX
ecletica-1009	36	62	a	a	DET
ecletica-1009	36	63	special	special	ADJ
ecletica-1009	36	64	processing	processing	NOUN
ecletica-1009	36	65	unit	unit	NOUN
ecletica-1009	36	66	that	that	PRON
ecletica-1009	36	67	allows	allow	VERB
ecletica-1009	36	68	better	well	ADJ
ecletica-1009	36	69	adaptation	adaptation	NOUN
ecletica-1009	36	70	on	on	ADP
ecletica-1009	36	71	the	the	DET
ecletica-1009	36	72	part	part	NOUN
ecletica-1009	36	73	of	of	ADP
ecletica-1009	36	74	the	the	DET
ecletica-1009	36	75	neural	neural	ADJ
ecletica-1009	36	76	network	network	NOUN
ecletica-1009	36	77	to	to	ADP
ecletica-1009	36	78	the	the	DET
ecletica-1009	36	79	knowledge	knowledge	NOUN
ecletica-1009	36	80	provided	provide	VERB
ecletica-1009	36	81	to	to	ADP
ecletica-1009	36	82	it	it	PRON
ecletica-1009	36	83	,	,	PUNCT
ecletica-1009	36	84	and	and	CCONJ
ecletica-1009	36	85	they	they	PRON
ecletica-1009	36	86	provide	provide	VERB
ecletica-1009	36	87	a	a	DET
ecletica-1009	36	88	precise	precise	ADJ
ecletica-1009	36	89	response	response	NOUN
ecletica-1009	36	90	at	at	ADP
ecletica-1009	36	91	high	high	ADJ
ecletica-1009	36	92	speeds14	speeds14	NOUN
ecletica-1009	36	93	-	-	PUNCT
ecletica-1009	36	94	16	16	NUM
ecletica-1009	36	95	.	.	PUNCT
ecletica-1009	37	1	the	the	DET
ecletica-1009	37	2	main	main	ADJ
ecletica-1009	37	3	advantage	advantage	NOUN
ecletica-1009	37	4	of	of	ADP
ecletica-1009	37	5	anns	anns	NOUN
ecletica-1009	37	6	is	be	AUX
ecletica-1009	37	7	their	their	PRON
ecletica-1009	37	8	ability	ability	NOUN
ecletica-1009	37	9	to	to	PART
ecletica-1009	37	10	generalize	generalize	VERB
ecletica-1009	37	11	or	or	CCONJ
ecletica-1009	37	12	learn	learn	VERB
ecletica-1009	37	13	from	from	ADP
ecletica-1009	37	14	examples17	examples17	NOUN
ecletica-1009	37	15	;	;	PUNCT
ecletica-1009	37	16	that	that	PRON
ecletica-1009	37	17	is	is	ADV
ecletica-1009	37	18	,	,	PUNCT
ecletica-1009	37	19	anns	anns	PROPN
ecletica-1009	37	20	can	can	AUX
ecletica-1009	37	21	generalize	generalize	VERB
ecletica-1009	37	22	learned	learn	VERB
ecletica-1009	37	23	information	information	NOUN
ecletica-1009	37	24	to	to	PART
ecletica-1009	37	25	provide	provide	VERB
ecletica-1009	37	26	satisfactory	satisfactory	ADJ
ecletica-1009	37	27	results	result	NOUN
ecletica-1009	37	28	for	for	ADP
ecletica-1009	37	29	cases	case	NOUN
ecletica-1009	37	30	not	not	PART
ecletica-1009	37	31	seen	see	VERB
ecletica-1009	37	32	in	in	ADP
ecletica-1009	37	33	training	training	NOUN
ecletica-1009	37	34	.	.	PUNCT
ecletica-1009	38	1	therefore	therefore	ADV
ecletica-1009	38	2	,	,	PUNCT
ecletica-1009	38	3	anns	ann	NOUN
ecletica-1009	38	4	have	have	AUX
ecletica-1009	38	5	been	be	AUX
ecletica-1009	38	6	used	use	VERB
ecletica-1009	38	7	in	in	ADP
ecletica-1009	38	8	many	many	ADJ
ecletica-1009	38	9	fields	field	NOUN
ecletica-1009	38	10	,	,	PUNCT
ecletica-1009	38	11	such	such	ADJ
ecletica-1009	38	12	as	as	ADP
ecletica-1009	38	13	chemistry18	chemistry18	NOUN
ecletica-1009	38	14	,	,	PUNCT
ecletica-1009	38	15	geology19	geology19	ADJ
ecletica-1009	38	16	,	,	PUNCT
ecletica-1009	38	17	medicine20	medicine20	PROPN
ecletica-1009	38	18	,	,	PUNCT
ecletica-1009	38	19	neurocomputations21	neurocomputations21	NOUN
ecletica-1009	38	20	and	and	CCONJ
ecletica-1009	38	21	biomedical	biomedical	ADJ
ecletica-1009	38	22	engineering22	engineering22	ADJ
ecletica-1009	38	23	,	,	PUNCT
ecletica-1009	38	24	among	among	ADP
ecletica-1009	38	25	others	other	NOUN
ecletica-1009	38	26	.	.	PUNCT
ecletica-1009	39	1	in	in	ADP
ecletica-1009	39	2	this	this	DET
ecletica-1009	39	3	sense	sense	NOUN
ecletica-1009	39	4	,	,	PUNCT
ecletica-1009	39	5	after	after	SCONJ
ecletica-1009	39	6	an	an	DET
ecletica-1009	39	7	ann	ann	PROPN
ecletica-1009	39	8	has	have	AUX
ecletica-1009	39	9	been	be	AUX
ecletica-1009	39	10	trained	train	VERB
ecletica-1009	39	11	and	and	CCONJ
ecletica-1009	39	12	tested	test	VERB
ecletica-1009	39	13	,	,	PUNCT
ecletica-1009	39	14	it	it	PRON
ecletica-1009	39	15	can	can	AUX
ecletica-1009	39	16	predict	predict	VERB
ecletica-1009	39	17	the	the	DET
ecletica-1009	39	18	output	output	NOUN
ecletica-1009	39	19	(	(	PUNCT
ecletica-1009	39	20	desired	desire	VERB
ecletica-1009	39	21	response	response	NOUN
ecletica-1009	39	22	)	)	PUNCT
ecletica-1009	39	23	of	of	ADP
ecletica-1009	39	24	new	new	ADJ
ecletica-1009	39	25	input	input	NOUN
ecletica-1009	39	26	data	datum	NOUN
ecletica-1009	39	27	in	in	ADP
ecletica-1009	39	28	the	the	DET
ecletica-1009	39	29	domain	domain	NOUN
ecletica-1009	39	30	covered	cover	VERB
ecletica-1009	39	31	by	by	ADP
ecletica-1009	39	32	the	the	DET
ecletica-1009	39	33	training	training	NOUN
ecletica-1009	39	34	examples	example	NOUN
ecletica-1009	39	35	.	.	PUNCT
ecletica-1009	40	1	for	for	ADP
ecletica-1009	40	2	food	food	NOUN
ecletica-1009	40	3	analysis	analysis	NOUN
ecletica-1009	40	4	,	,	PUNCT
ecletica-1009	40	5	data	datum	NOUN
ecletica-1009	40	6	from	from	ADP
ecletica-1009	40	7	digital	digital	ADJ
ecletica-1009	40	8	images	image	NOUN
ecletica-1009	40	9	acquired	acquire	VERB
ecletica-1009	40	10	using	use	VERB
ecletica-1009	40	11	both	both	CCONJ
ecletica-1009	40	12	a	a	DET
ecletica-1009	40	13	camera	camera	NOUN
ecletica-1009	40	14	and	and	CCONJ
ecletica-1009	40	15	a	a	DET
ecletica-1009	40	16	desktop	desktop	NOUN
ecletica-1009	40	17	scanner	scanner	NOUN
ecletica-1009	40	18	have	have	AUX
ecletica-1009	40	19	been	be	AUX
ecletica-1009	40	20	applied	apply	VERB
ecletica-1009	40	21	to	to	PART
ecletica-1009	40	22	predict	predict	VERB
ecletica-1009	40	23	the	the	DET
ecletica-1009	40	24	fermentation	fermentation	NOUN
ecletica-1009	40	25	index	index	NOUN
ecletica-1009	40	26	of	of	ADP
ecletica-1009	40	27	cocoa	cocoa	NOUN
ecletica-1009	40	28	beans	bean	NOUN
ecletica-1009	40	29	by	by	ADP
ecletica-1009	40	30	ann	ann	PROPN
ecletica-1009	40	31	modeling23	modeling23	PROPN
ecletica-1009	40	32	.	.	PUNCT
ecletica-1009	41	1	an	an	DET
ecletica-1009	41	2	ann	ann	PROPN
ecletica-1009	41	3	was	be	AUX
ecletica-1009	41	4	also	also	ADV
ecletica-1009	41	5	combined	combine	VERB
ecletica-1009	41	6	with	with	ADP
ecletica-1009	41	7	digital	digital	ADJ
ecletica-1009	41	8	images	image	NOUN
ecletica-1009	41	9	and	and	CCONJ
ecletica-1009	41	10	showed	show	VERB
ecletica-1009	41	11	excellent	excellent	ADJ
ecletica-1009	41	12	potential	potential	NOUN
ecletica-1009	41	13	for	for	ADP
ecletica-1009	41	14	wheat	wheat	NOUN
ecletica-1009	41	15	varietal	varietal	NOUN
ecletica-1009	41	16	identification24	identification24	PROPN
ecletica-1009	41	17	using	use	VERB
ecletica-1009	41	18	the	the	DET
ecletica-1009	41	19	morphometric	morphometric	ADJ
ecletica-1009	41	20	characteristics	characteristic	NOUN
ecletica-1009	41	21	of	of	ADP
ecletica-1009	41	22	these	these	DET
ecletica-1009	41	23	grains	grain	NOUN
ecletica-1009	41	24	for	for	ADP
ecletica-1009	41	25	the	the	DET
ecletica-1009	41	26	classification	classification	NOUN
ecletica-1009	41	27	of	of	ADP
ecletica-1009	41	28	different	different	ADJ
ecletica-1009	41	29	varieties	variety	NOUN
ecletica-1009	41	30	with	with	ADP
ecletica-1009	41	31	88	88	NUM
ecletica-1009	41	32	%	%	NOUN
ecletica-1009	41	33	accuracy	accuracy	NOUN
ecletica-1009	41	34	and	and	CCONJ
ecletica-1009	41	35	individual	individual	ADJ
ecletica-1009	41	36	varieties	variety	NOUN
ecletica-1009	41	37	with	with	ADP
ecletica-1009	41	38	84	84	NUM
ecletica-1009	41	39	%	%	NOUN
ecletica-1009	41	40	and	and	CCONJ
ecletica-1009	41	41	94	94	NUM
ecletica-1009	41	42	%	%	NOUN
ecletica-1009	41	43	accuracy	accuracy	NOUN
ecletica-1009	41	44	.	.	PUNCT
ecletica-1009	42	1	our	our	PRON
ecletica-1009	42	2	study	study	NOUN
ecletica-1009	42	3	shows	show	VERB
ecletica-1009	42	4	a	a	DET
ecletica-1009	42	5	feasible	feasible	ADJ
ecletica-1009	42	6	analytical	analytical	ADJ
ecletica-1009	42	7	method	method	NOUN
ecletica-1009	42	8	based	base	VERB
ecletica-1009	42	9	on	on	ADP
ecletica-1009	42	10	digital	digital	ADJ
ecletica-1009	42	11	images	image	NOUN
ecletica-1009	42	12	converted	convert	VERB
ecletica-1009	42	13	into	into	ADP
ecletica-1009	42	14	ten	ten	NUM
ecletica-1009	42	15	color	color	NOUN
ecletica-1009	42	16	scale	scale	NOUN
ecletica-1009	42	17	descriptors	descriptor	NOUN
ecletica-1009	42	18	combined	combine	VERB
ecletica-1009	42	19	with	with	ADP
ecletica-1009	42	20	an	an	DET
ecletica-1009	42	21	ann	ann	PROPN
ecletica-1009	42	22	to	to	PART
ecletica-1009	42	23	estimate	estimate	VERB
ecletica-1009	42	24	the	the	DET
ecletica-1009	42	25	bulk	bulk	ADJ
ecletica-1009	42	26	density	density	NOUN
ecletica-1009	42	27	of	of	ADP
ecletica-1009	42	28	leguminous	leguminous	ADJ
ecletica-1009	42	29	grains	grain	NOUN
ecletica-1009	42	30	such	such	ADJ
ecletica-1009	42	31	as	as	ADP
ecletica-1009	42	32	soybeans	soybean	NOUN
ecletica-1009	42	33	,	,	PUNCT
ecletica-1009	42	34	beans	bean	NOUN
ecletica-1009	42	35	,	,	PUNCT
ecletica-1009	42	36	chickpeas	chickpeas	NOUN
ecletica-1009	42	37	and	and	CCONJ
ecletica-1009	42	38	corn	corn	NOUN
ecletica-1009	42	39	.	.	PROPN
ecletica-1009	43	1	2	2	X
ecletica-1009	43	2	.	.	X
ecletica-1009	43	3	materials	material	NOUN
ecletica-1009	43	4	and	and	CCONJ
ecletica-1009	43	5	methods	method	NOUN
ecletica-1009	43	6	2.1	2.1	NUM
ecletica-1009	43	7	.	.	PUNCT
ecletica-1009	44	1	procurement	procurement	NOUN
ecletica-1009	44	2	of	of	ADP
ecletica-1009	44	3	samples	sample	NOUN
ecletica-1009	44	4	and	and	CCONJ
ecletica-1009	44	5	instruments	instrument	NOUN
ecletica-1009	44	6	grains	grain	NOUN
ecletica-1009	44	7	of	of	ADP
ecletica-1009	44	8	soybeans	soybean	NOUN
ecletica-1009	44	9	,	,	PUNCT
ecletica-1009	44	10	beans	bean	NOUN
ecletica-1009	44	11	,	,	PUNCT
ecletica-1009	44	12	chickpeas	chickpeas	NOUN
ecletica-1009	44	13	and	and	CCONJ
ecletica-1009	44	14	corn	corn	NOUN
ecletica-1009	44	15	were	be	AUX
ecletica-1009	44	16	purchased	purchase	VERB
ecletica-1009	44	17	locally	locally	ADV
ecletica-1009	44	18	.	.	PUNCT
ecletica-1009	45	1	the	the	DET
ecletica-1009	45	2	grains	grain	NOUN
ecletica-1009	45	3	were	be	AUX
ecletica-1009	45	4	sorted	sort	VERB
ecletica-1009	45	5	to	to	PART
ecletica-1009	45	6	eliminate	eliminate	VERB
ecletica-1009	45	7	external	external	ADJ
ecletica-1009	45	8	material	material	NOUN
ecletica-1009	45	9	and	and	CCONJ
ecletica-1009	45	10	damaged	damaged	ADJ
ecletica-1009	45	11	grains	grain	NOUN
ecletica-1009	45	12	.	.	PUNCT
ecletica-1009	46	1	for	for	ADP
ecletica-1009	46	2	the	the	DET
ecletica-1009	46	3	tests	test	NOUN
ecletica-1009	46	4	,	,	PUNCT
ecletica-1009	46	5	the	the	DET
ecletica-1009	46	6	grains	grain	NOUN
ecletica-1009	46	7	were	be	AUX
ecletica-1009	46	8	separated	separate	VERB
ecletica-1009	46	9	in	in	ADP
ecletica-1009	46	10	small	small	ADJ
ecletica-1009	46	11	packets	packet	NOUN
ecletica-1009	46	12	made	make	VERB
ecletica-1009	46	13	of	of	ADP
ecletica-1009	46	14	transparent	transparent	ADJ
ecletica-1009	46	15	plastic	plastic	NOUN
ecletica-1009	46	16	bags	bag	NOUN
ecletica-1009	46	17	(	(	PUNCT
ecletica-1009	46	18	10	10	NUM
ecletica-1009	46	19	×	×	NOUN
ecletica-1009	46	20	6	6	NUM
ecletica-1009	46	21	cm	cm	NOUN
ecletica-1009	46	22	)	)	PUNCT
ecletica-1009	46	23	,	,	PUNCT
ecletica-1009	46	24	as	as	SCONJ
ecletica-1009	46	25	shown	show	VERB
ecletica-1009	46	26	in	in	ADP
ecletica-1009	46	27	fig	fig	NOUN
ecletica-1009	46	28	.	.	PUNCT
ecletica-1009	47	1	1	1	NUM
ecletica-1009	47	2	.	.	PUNCT
ecletica-1009	47	3	according	accord	VERB
ecletica-1009	47	4	to	to	ADP
ecletica-1009	47	5	the	the	DET
ecletica-1009	47	6	size	size	NOUN
ecletica-1009	47	7	of	of	ADP
ecletica-1009	47	8	the	the	DET
ecletica-1009	47	9	grains	grain	NOUN
ecletica-1009	47	10	,	,	PUNCT
ecletica-1009	47	11	each	each	DET
ecletica-1009	47	12	plastic	plastic	ADJ
ecletica-1009	47	13	bag	bag	NOUN
ecletica-1009	47	14	was	be	AUX
ecletica-1009	47	15	filled	fill	VERB
ecletica-1009	47	16	with	with	ADP
ecletica-1009	47	17	100	100	NUM
ecletica-1009	47	18	soybeans	soybean	NOUN
ecletica-1009	47	19	,	,	PUNCT
ecletica-1009	47	20	100	100	NUM
ecletica-1009	47	21	beans	bean	NOUN
ecletica-1009	47	22	,	,	PUNCT
ecletica-1009	47	23	50	50	NUM
ecletica-1009	47	24	chickpeas	chickpea	NOUN
ecletica-1009	47	25	,	,	PUNCT
ecletica-1009	47	26	or	or	CCONJ
ecletica-1009	47	27	100	100	NUM
ecletica-1009	47	28	kernels	kernel	NOUN
ecletica-1009	47	29	of	of	ADP
ecletica-1009	47	30	corn	corn	NOUN
ecletica-1009	47	31	,	,	PUNCT
ecletica-1009	47	32	resulting	result	VERB
ecletica-1009	47	33	in	in	ADP
ecletica-1009	47	34	56	56	NUM
ecletica-1009	47	35	packets	packet	NOUN
ecletica-1009	47	36	of	of	ADP
ecletica-1009	47	37	soybeans	soybean	NOUN
ecletica-1009	47	38	,	,	PUNCT
ecletica-1009	47	39	35	35	NUM
ecletica-1009	47	40	packets	packet	NOUN
ecletica-1009	47	41	of	of	ADP
ecletica-1009	47	42	beans	bean	NOUN
ecletica-1009	47	43	,	,	PUNCT
ecletica-1009	47	44	30	30	NUM
ecletica-1009	47	45	packets	packet	NOUN
ecletica-1009	47	46	of	of	ADP
ecletica-1009	47	47	chickpeas	chickpea	NOUN
ecletica-1009	47	48	and	and	CCONJ
ecletica-1009	47	49	50	50	NUM
ecletica-1009	47	50	packets	packet	NOUN
ecletica-1009	47	51	of	of	ADP
ecletica-1009	47	52	corn	corn	NOUN
ecletica-1009	47	53	.	.	PUNCT
ecletica-1009	48	1	the	the	DET
ecletica-1009	48	2	content	content	NOUN
ecletica-1009	48	3	of	of	ADP
ecletica-1009	48	4	each	each	DET
ecletica-1009	48	5	packet	packet	NOUN
ecletica-1009	48	6	was	be	AUX
ecletica-1009	48	7	weighed	weigh	VERB
ecletica-1009	48	8	on	on	ADP
ecletica-1009	48	9	an	an	DET
ecletica-1009	48	10	analytical	analytical	ADJ
ecletica-1009	48	11	balance	balance	NOUN
ecletica-1009	48	12	with	with	ADP
ecletica-1009	48	13	±0.0001	±0.0001	NUM
ecletica-1009	48	14	g	g	NOUN
ecletica-1009	48	15	precision	precision	NOUN
ecletica-1009	48	16	(	(	PUNCT
ecletica-1009	48	17	fa2104n	fa2104n	X
ecletica-1009	48	18	,	,	PUNCT
ecletica-1009	48	19	equipar	equipar	NOUN
ecletica-1009	48	20	,	,	PUNCT
ecletica-1009	48	21	curitiba	curitiba	PROPN
ecletica-1009	48	22	,	,	PUNCT
ecletica-1009	48	23	pr	pr	NOUN
ecletica-1009	48	24	,	,	PUNCT
ecletica-1009	48	25	brazil	brazil	PROPN
ecletica-1009	48	26	)	)	PUNCT
ecletica-1009	48	27	,	,	PUNCT
ecletica-1009	48	28	and	and	CCONJ
ecletica-1009	48	29	the	the	DET
ecletica-1009	48	30	apparent	apparent	ADJ
ecletica-1009	48	31	volume	volume	NOUN
ecletica-1009	48	32	was	be	AUX
ecletica-1009	48	33	measured	measure	VERB
ecletica-1009	48	34	with	with	ADP
ecletica-1009	48	35	graduated	graduate	VERB
ecletica-1009	48	36	cylinders	cylinder	NOUN
ecletica-1009	48	37	with	with	ADP
ecletica-1009	48	38	a	a	DET
ecletica-1009	48	39	volume	volume	NOUN
ecletica-1009	48	40	of	of	ADP
ecletica-1009	48	41	(	(	PUNCT
ecletica-1009	48	42	50.0±0.5	50.0±0.5	NUM
ecletica-1009	48	43	)	)	PUNCT
ecletica-1009	48	44	ml	ml	NOUN
ecletica-1009	48	45	for	for	ADP
ecletica-1009	48	46	soybeans	soybean	NOUN
ecletica-1009	48	47	,	,	PUNCT
ecletica-1009	48	48	corn	corn	NOUN
ecletica-1009	48	49	and	and	CCONJ
ecletica-1009	48	50	beans	bean	NOUN
ecletica-1009	48	51	and	and	CCONJ
ecletica-1009	48	52	with	with	ADP
ecletica-1009	48	53	a	a	DET
ecletica-1009	48	54	volume	volume	NOUN
ecletica-1009	48	55	of	of	ADP
ecletica-1009	48	56	(	(	PUNCT
ecletica-1009	48	57	100±1	100±1	PROPN
ecletica-1009	48	58	)	)	PUNCT
ecletica-1009	48	59	ml	ml	NOUN
ecletica-1009	48	60	for	for	ADP
ecletica-1009	48	61	chickpeas	chickpea	NOUN
ecletica-1009	48	62	.	.	PUNCT
ecletica-1009	49	1	using	use	VERB
ecletica-1009	49	2	the	the	DET
ecletica-1009	49	3	measured	measure	VERB
ecletica-1009	49	4	masses	masse	NOUN
ecletica-1009	49	5	(	(	PUNCT
ecletica-1009	49	6	m	m	NOUN
ecletica-1009	49	7	)	)	PUNCT
ecletica-1009	49	8	and	and	CCONJ
ecletica-1009	49	9	apparent	apparent	ADJ
ecletica-1009	49	10	volumes	volume	NOUN
ecletica-1009	49	11	(	(	PUNCT
ecletica-1009	49	12	v	v	NOUN
ecletica-1009	49	13	)	)	PUNCT
ecletica-1009	49	14	,	,	PUNCT
ecletica-1009	49	15	the	the	DET
ecletica-1009	49	16	bulk	bulk	ADJ
ecletica-1009	49	17	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	NOUN
ecletica-1009	49	18	original	original	ADJ
ecletica-1009	49	19	article	article	NOUN
ecletica-1009	49	20	13	13	NUM
ecletica-1009	49	21	eclética	eclética	PROPN
ecletica-1009	49	22	química	química	PROPN
ecletica-1009	49	23	journal	journal	PROPN
ecletica-1009	49	24	,	,	PUNCT
ecletica-1009	49	25	vol	vol	NOUN
ecletica-1009	49	26	.	.	PROPN
ecletica-1009	49	27	45	45	NUM
ecletica-1009	49	28	,	,	PUNCT
ecletica-1009	49	29	n.	n.	NOUN
ecletica-1009	49	30	1	1	NUM
ecletica-1009	49	31	,	,	PUNCT
ecletica-1009	49	32	2020	2020	NUM
ecletica-1009	49	33	,	,	PUNCT
ecletica-1009	49	34	11	11	NUM
ecletica-1009	49	35	-	-	SYM
ecletica-1009	49	36	17	17	NUM
ecletica-1009	49	37	issn	issn	NOUN
ecletica-1009	49	38	:	:	PUNCT
ecletica-1009	49	39	1678	1678	NUM
ecletica-1009	49	40	-	-	SYM
ecletica-1009	49	41	4618	4618	NUM
ecletica-1009	49	42	doi	doi	NOUN
ecletica-1009	49	43	:	:	PUNCT
ecletica-1009	49	44	10.26850/1678	10.26850/1678	NUM
ecletica-1009	49	45	-	-	PUNCT
ecletica-1009	49	46	4618eqj.v45.1.2020.p11	4618eqj.v45.1.2020.p11	NUM
ecletica-1009	49	47	-	-	PUNCT
ecletica-1009	49	48	17	17	NUM
ecletica-1009	49	49	densities	density	NOUN
ecletica-1009	49	50	of	of	ADP
ecletica-1009	49	51	the	the	DET
ecletica-1009	49	52	samples	sample	NOUN
ecletica-1009	49	53	were	be	AUX
ecletica-1009	49	54	estimated	estimate	VERB
ecletica-1009	49	55	using	use	VERB
ecletica-1009	49	56	the	the	DET
ecletica-1009	49	57	ratio	ratio	NOUN
ecletica-1009	49	58	m	m	NOUN
ecletica-1009	49	59	v	v	NOUN
ecletica-1009	49	60			NOUN
ecletica-1009	49	61	=	=	PUNCT
ecletica-1009	49	62	,	,	PUNCT
ecletica-1009	49	63	and	and	CCONJ
ecletica-1009	49	64	these	these	DET
ecletica-1009	49	65	values	value	NOUN
ecletica-1009	49	66	were	be	AUX
ecletica-1009	49	67	considered	consider	VERB
ecletica-1009	49	68	the	the	DET
ecletica-1009	49	69	reference	reference	NOUN
ecletica-1009	49	70	values	value	NOUN
ecletica-1009	49	71	in	in	ADP
ecletica-1009	49	72	this	this	DET
ecletica-1009	49	73	study	study	NOUN
ecletica-1009	49	74	.	.	PUNCT
ecletica-1009	50	1	figure	figure	NOUN
ecletica-1009	50	2	1	1	NUM
ecletica-1009	50	3	.	.	PUNCT
ecletica-1009	51	1	examples	example	NOUN
ecletica-1009	51	2	of	of	ADP
ecletica-1009	51	3	the	the	DET
ecletica-1009	51	4	scanned	scan	VERB
ecletica-1009	51	5	images	image	NOUN
ecletica-1009	51	6	of	of	ADP
ecletica-1009	51	7	soybean	soybean	NOUN
ecletica-1009	51	8	(	(	PUNCT
ecletica-1009	51	9	a	a	NOUN
ecletica-1009	51	10	)	)	PUNCT
ecletica-1009	51	11	,	,	PUNCT
ecletica-1009	51	12	bean	bean	NOUN
ecletica-1009	51	13	(	(	PUNCT
ecletica-1009	51	14	b	b	NOUN
ecletica-1009	51	15	)	)	PUNCT
ecletica-1009	51	16	,	,	PUNCT
ecletica-1009	51	17	chickpea	chickpea	NOUN
ecletica-1009	51	18	(	(	PUNCT
ecletica-1009	51	19	c	c	NOUN
ecletica-1009	51	20	)	)	PUNCT
ecletica-1009	51	21	and	and	CCONJ
ecletica-1009	51	22	corn	corn	NOUN
ecletica-1009	51	23	(	(	PUNCT
ecletica-1009	51	24	d	d	NOUN
ecletica-1009	51	25	)	)	PUNCT
ecletica-1009	51	26	grains	grain	NOUN
ecletica-1009	51	27	.	.	PUNCT
ecletica-1009	52	1	then	then	ADV
ecletica-1009	52	2	,	,	PUNCT
ecletica-1009	52	3	each	each	DET
ecletica-1009	52	4	packet	packet	NOUN
ecletica-1009	52	5	was	be	AUX
ecletica-1009	52	6	digitalized	digitalize	VERB
ecletica-1009	52	7	using	use	VERB
ecletica-1009	52	8	a	a	DET
ecletica-1009	52	9	conventional	conventional	ADJ
ecletica-1009	52	10	scanner	scanner	NOUN
ecletica-1009	52	11	(	(	PUNCT
ecletica-1009	52	12	hp	hp	NOUN
ecletica-1009	52	13	,	,	PUNCT
ecletica-1009	52	14	laserjet	laserjet	NOUN
ecletica-1009	52	15	pro	pro	X
ecletica-1009	52	16	200	200	NUM
ecletica-1009	52	17	color	color	NOUN
ecletica-1009	52	18	mfp	mfp	PROPN
ecletica-1009	52	19	m276nw	m276nw	PROPN
ecletica-1009	52	20	,	,	PUNCT
ecletica-1009	52	21	brazil	brazil	PROPN
ecletica-1009	52	22	)	)	PUNCT
ecletica-1009	52	23	.	.	PUNCT
ecletica-1009	53	1	the	the	DET
ecletica-1009	53	2	final	final	ADJ
ecletica-1009	53	3	size	size	NOUN
ecletica-1009	53	4	of	of	ADP
ecletica-1009	53	5	the	the	DET
ecletica-1009	53	6	images	image	NOUN
ecletica-1009	53	7	was	be	AUX
ecletica-1009	53	8	550	550	NUM
ecletica-1009	53	9	×	×	NOUN
ecletica-1009	53	10	1000	1000	NUM
ecletica-1009	53	11	pixels	pixel	NOUN
ecletica-1009	53	12	with	with	ADP
ecletica-1009	53	13	a	a	DET
ecletica-1009	53	14	resolution	resolution	NOUN
ecletica-1009	53	15	of	of	ADP
ecletica-1009	53	16	96	96	NUM
ecletica-1009	53	17	dots	dot	NOUN
ecletica-1009	53	18	per	per	ADP
ecletica-1009	53	19	inch	inch	NOUN
ecletica-1009	53	20	(	(	PUNCT
ecletica-1009	53	21	dpi	dpi	NOUN
ecletica-1009	53	22	)	)	PUNCT
ecletica-1009	53	23	.	.	PUNCT
ecletica-1009	54	1	2.2	2.2	NUM
ecletica-1009	54	2	.	.	PUNCT
ecletica-1009	55	1	image	image	NOUN
ecletica-1009	55	2	treatment	treatment	NOUN
ecletica-1009	55	3	the	the	DET
ecletica-1009	55	4	digital	digital	ADJ
ecletica-1009	55	5	images	image	NOUN
ecletica-1009	55	6	were	be	AUX
ecletica-1009	55	7	processed	process	VERB
ecletica-1009	55	8	and	and	CCONJ
ecletica-1009	55	9	converted	convert	VERB
ecletica-1009	55	10	into	into	ADP
ecletica-1009	55	11	the	the	DET
ecletica-1009	55	12	average	average	ADJ
ecletica-1009	55	13	values	value	NOUN
ecletica-1009	55	14	of	of	ADP
ecletica-1009	55	15	ten	ten	NUM
ecletica-1009	55	16	color	color	NOUN
ecletica-1009	55	17	scale	scale	NOUN
ecletica-1009	55	18	descriptors	descriptor	NOUN
ecletica-1009	55	19	,	,	PUNCT
ecletica-1009	55	20	red	red	NOUN
ecletica-1009	55	21	(	(	PUNCT
ecletica-1009	55	22	r	r	NOUN
ecletica-1009	55	23	)	)	PUNCT
ecletica-1009	55	24	,	,	PUNCT
ecletica-1009	55	25	green	green	ADJ
ecletica-1009	55	26	(	(	PUNCT
ecletica-1009	55	27	g	g	NOUN
ecletica-1009	55	28	)	)	PUNCT
ecletica-1009	55	29	,	,	PUNCT
ecletica-1009	55	30	blue	blue	NOUN
ecletica-1009	55	31	(	(	PUNCT
ecletica-1009	55	32	b	b	NOUN
ecletica-1009	55	33	)	)	PUNCT
ecletica-1009	55	34	,	,	PUNCT
ecletica-1009	55	35	hue	hue	NOUN
ecletica-1009	55	36	(	(	PUNCT
ecletica-1009	55	37	h	h	NOUN
ecletica-1009	55	38	)	)	PUNCT
ecletica-1009	55	39	,	,	PUNCT
ecletica-1009	55	40	saturation	saturation	NOUN
ecletica-1009	55	41	(	(	PUNCT
ecletica-1009	55	42	s	s	NOUN
ecletica-1009	55	43	)	)	PUNCT
ecletica-1009	55	44	,	,	PUNCT
ecletica-1009	55	45	value	value	NOUN
ecletica-1009	55	46	(	(	PUNCT
ecletica-1009	55	47	v	v	NOUN
ecletica-1009	55	48	)	)	PUNCT
ecletica-1009	55	49	,	,	PUNCT
ecletica-1009	55	50	relative	relative	ADJ
ecletica-1009	55	51	red	red	NOUN
ecletica-1009	55	52	(	(	PUNCT
ecletica-1009	55	53	rr	rr	NOUN
ecletica-1009	55	54	)	)	PUNCT
ecletica-1009	55	55	,	,	PUNCT
ecletica-1009	55	56	relative	relative	ADJ
ecletica-1009	55	57	green	green	NOUN
ecletica-1009	55	58	(	(	PUNCT
ecletica-1009	55	59	rg	rg	NOUN
ecletica-1009	55	60	)	)	PUNCT
ecletica-1009	55	61	,	,	PUNCT
ecletica-1009	55	62	relative	relative	ADJ
ecletica-1009	55	63	blue	blue	ADJ
ecletica-1009	55	64	(	(	PUNCT
ecletica-1009	55	65	rb	rb	NOUN
ecletica-1009	55	66	)	)	PUNCT
ecletica-1009	55	67	and	and	CCONJ
ecletica-1009	55	68	luminosity	luminosity	NOUN
ecletica-1009	55	69	(	(	PUNCT
ecletica-1009	55	70	l	l	NOUN
ecletica-1009	55	71	)	)	PUNCT
ecletica-1009	55	72	,	,	PUNCT
ecletica-1009	55	73	using	use	VERB
ecletica-1009	55	74	the	the	DET
ecletica-1009	55	75	matlab	matlab	PROPN
ecletica-1009	55	76	r2015b	r2015b	ADP
ecletica-1009	55	77	(	(	PUNCT
ecletica-1009	55	78	the	the	DET
ecletica-1009	55	79	mathworks	mathworks	PROPN
ecletica-1009	55	80	,	,	PUNCT
ecletica-1009	55	81	natick	natick	PROPN
ecletica-1009	55	82	,	,	PUNCT
ecletica-1009	55	83	ma	ma	PROPN
ecletica-1009	55	84	,	,	PUNCT
ecletica-1009	55	85	usa	usa	PROPN
ecletica-1009	55	86	)	)	PUNCT
ecletica-1009	55	87	code	code	NOUN
ecletica-1009	55	88	available	available	ADJ
ecletica-1009	55	89	in	in	ADP
ecletica-1009	55	90	the	the	DET
ecletica-1009	55	91	supplementary	supplementary	ADJ
ecletica-1009	55	92	material	material	NOUN
ecletica-1009	55	93	of	of	ADP
ecletica-1009	55	94	camargo	camargo	PROPN
ecletica-1009	55	95	,	,	PUNCT
ecletica-1009	55	96	santos	santo	NOUN
ecletica-1009	55	97	and	and	CCONJ
ecletica-1009	55	98	pereira8	pereira8	PROPN
ecletica-1009	55	99	.	.	PUNCT
ecletica-1009	56	1	figure	figure	NOUN
ecletica-1009	56	2	2	2	NUM
ecletica-1009	56	3	shows	show	VERB
ecletica-1009	56	4	an	an	DET
ecletica-1009	56	5	image	image	NOUN
ecletica-1009	56	6	of	of	ADP
ecletica-1009	56	7	the	the	DET
ecletica-1009	56	8	data	datum	NOUN
ecletica-1009	56	9	.	.	PUNCT
ecletica-1009	57	1	using	use	VERB
ecletica-1009	57	2	this	this	DET
ecletica-1009	57	3	code	code	NOUN
ecletica-1009	57	4	,	,	PUNCT
ecletica-1009	57	5	the	the	DET
ecletica-1009	57	6	average	average	ADJ
ecletica-1009	57	7	value	value	NOUN
ecletica-1009	57	8	of	of	ADP
ecletica-1009	57	9	each	each	DET
ecletica-1009	57	10	histogram	histogram	NOUN
ecletica-1009	57	11	color	color	NOUN
ecletica-1009	57	12	,	,	PUNCT
ecletica-1009	57	13	which	which	PRON
ecletica-1009	57	14	includes	include	VERB
ecletica-1009	57	15	256	256	NUM
ecletica-1009	57	16	colors	color	NOUN
ecletica-1009	57	17	,	,	PUNCT
ecletica-1009	57	18	is	be	AUX
ecletica-1009	57	19	obtained	obtain	VERB
ecletica-1009	57	20	;	;	PUNCT
ecletica-1009	57	21	thus	thus	ADV
ecletica-1009	57	22	,	,	PUNCT
ecletica-1009	57	23	each	each	DET
ecletica-1009	57	24	color	color	NOUN
ecletica-1009	57	25	is	be	AUX
ecletica-1009	57	26	represented	represent	VERB
ecletica-1009	57	27	by	by	ADP
ecletica-1009	57	28	one	one	NUM
ecletica-1009	57	29	value	value	NOUN
ecletica-1009	57	30	per	per	ADP
ecletica-1009	57	31	color	color	NOUN
ecletica-1009	57	32	histogram	histogram	NOUN
ecletica-1009	57	33	.	.	PUNCT
ecletica-1009	58	1	figure	figure	NOUN
ecletica-1009	58	2	2	2	NUM
ecletica-1009	58	3	.	.	X
ecletica-1009	58	4	diagram	diagram	NOUN
ecletica-1009	58	5	of	of	ADP
ecletica-1009	58	6	the	the	DET
ecletica-1009	58	7	input	input	NOUN
ecletica-1009	58	8	data	datum	NOUN
ecletica-1009	58	9	for	for	ADP
ecletica-1009	58	10	the	the	DET
ecletica-1009	58	11	ann	ann	PROPN
ecletica-1009	58	12	calculations	calculation	NOUN
ecletica-1009	58	13	2.3	2.3	NUM
ecletica-1009	58	14	.	.	PUNCT
ecletica-1009	59	1	ann	ann	PROPN
ecletica-1009	59	2	description	description	NOUN
ecletica-1009	59	3	a	a	DET
ecletica-1009	59	4	feedforward	feedforward	ADJ
ecletica-1009	59	5	neural	neural	ADJ
ecletica-1009	59	6	network25	network25	NOUN
ecletica-1009	59	7	was	be	AUX
ecletica-1009	59	8	implemented	implement	VERB
ecletica-1009	59	9	in	in	ADP
ecletica-1009	59	10	matlab	matlab	PROPN
ecletica-1009	59	11	r2015b	r2015b	PROPN
ecletica-1009	59	12	.	.	PUNCT
ecletica-1009	60	1	two	two	NUM
ecletica-1009	60	2	learning	learn	VERB
ecletica-1009	60	3	algorithms	algorithm	NOUN
ecletica-1009	60	4	were	be	AUX
ecletica-1009	60	5	tested	test	VERB
ecletica-1009	60	6	in	in	ADP
ecletica-1009	60	7	the	the	DET
ecletica-1009	60	8	development	development	NOUN
ecletica-1009	60	9	of	of	ADP
ecletica-1009	60	10	the	the	DET
ecletica-1009	60	11	ann	ann	PROPN
ecletica-1009	60	12	:	:	PUNCT
ecletica-1009	60	13	error	error	NOUN
ecletica-1009	60	14	backpropagation	backpropagation	NOUN
ecletica-1009	60	15	and	and	CCONJ
ecletica-1009	60	16	the	the	DET
ecletica-1009	60	17	levenbergmarquardt	levenbergmarquardt	ADJ
ecletica-1009	60	18	algorithm	algorithm	NOUN
ecletica-1009	60	19	.	.	PUNCT
ecletica-1009	61	1	the	the	DET
ecletica-1009	61	2	levenberg	levenberg	PROPN
ecletica-1009	61	3	-	-	PUNCT
ecletica-1009	61	4	marquardt	marquardt	PROPN
ecletica-1009	61	5	algorithm	algorithm	PROPN
ecletica-1009	61	6	presented	present	VERB
ecletica-1009	61	7	correlation	correlation	NOUN
ecletica-1009	61	8	coefficients	coefficient	NOUN
ecletica-1009	61	9	in	in	ADP
ecletica-1009	61	10	the	the	DET
ecletica-1009	61	11	mean	mean	NOUN
ecletica-1009	61	12	of	of	ADP
ecletica-1009	61	13	0.88	0.88	NUM
ecletica-1009	61	14	and	and	CCONJ
ecletica-1009	61	15	rmse	rmse	ADJ
ecletica-1009	61	16	(	(	PUNCT
ecletica-1009	61	17	root	root	NOUN
ecletica-1009	61	18	mean	mean	VERB
ecletica-1009	61	19	square	square	NOUN
ecletica-1009	61	20	error	error	NOUN
ecletica-1009	61	21	)	)	PUNCT
ecletica-1009	61	22	equal	equal	ADJ
ecletica-1009	61	23	to	to	ADP
ecletica-1009	61	24	0.031	0.031	NUM
ecletica-1009	61	25	for	for	ADP
ecletica-1009	61	26	the	the	DET
ecletica-1009	61	27	test	test	NOUN
ecletica-1009	61	28	set	set	NOUN
ecletica-1009	61	29	,	,	PUNCT
ecletica-1009	61	30	while	while	SCONJ
ecletica-1009	61	31	the	the	DET
ecletica-1009	61	32	backpropagation	backpropagation	NOUN
ecletica-1009	61	33	algorithm	algorithm	NOUN
ecletica-1009	61	34	provided	provide	VERB
ecletica-1009	61	35	results	result	NOUN
ecletica-1009	61	36	with	with	ADP
ecletica-1009	61	37	correlation	correlation	NOUN
ecletica-1009	61	38	coefficient	coefficient	NOUN
ecletica-1009	61	39	equal	equal	ADJ
ecletica-1009	61	40	0.98	0.98	NUM
ecletica-1009	61	41	and	and	CCONJ
ecletica-1009	61	42	rmse	rmse	PROPN
ecletica-1009	61	43	0.014	0.014	NUM
ecletica-1009	61	44	.	.	PUNCT
ecletica-1009	62	1	therefore	therefore	ADV
ecletica-1009	62	2	,	,	PUNCT
ecletica-1009	62	3	the	the	DET
ecletica-1009	62	4	backpropagation	backpropagation	NOUN
ecletica-1009	62	5	algorithm	algorithm	NOUN
ecletica-1009	62	6	provided	provide	VERB
ecletica-1009	62	7	the	the	DET
ecletica-1009	62	8	best	good	ADJ
ecletica-1009	62	9	results	result	NOUN
ecletica-1009	62	10	and	and	CCONJ
ecletica-1009	62	11	is	be	AUX
ecletica-1009	62	12	described	describe	VERB
ecletica-1009	62	13	briefly	briefly	ADV
ecletica-1009	62	14	below12,13	below12,13	NOUN
ecletica-1009	62	15	:	:	PUNCT
ecletica-1009	62	16	1	1	X
ecletica-1009	62	17	)	)	PUNCT
ecletica-1009	62	18	set	set	VERB
ecletica-1009	62	19	the	the	DET
ecletica-1009	62	20	initial	initial	ADJ
ecletica-1009	62	21	parameters	parameter	NOUN
ecletica-1009	62	22	of	of	ADP
ecletica-1009	62	23	the	the	DET
ecletica-1009	62	24	network	network	NOUN
ecletica-1009	62	25	𝑤𝑖,𝑗	𝑤𝑖,𝑗	NOUN
ecletica-1009	62	26	and	and	CCONJ
ecletica-1009	62	27	𝑏𝑖,𝑗	𝑏𝑖,𝑗	NOUN
ecletica-1009	62	28	(	(	PUNCT
ecletica-1009	62	29	weights	weight	NOUN
ecletica-1009	62	30	and	and	CCONJ
ecletica-1009	62	31	bias	bias	NOUN
ecletica-1009	62	32	)	)	PUNCT
ecletica-1009	62	33	as	as	ADP
ecletica-1009	62	34	random	random	ADJ
ecletica-1009	62	35	numbers	number	NOUN
ecletica-1009	62	36	.	.	PUNCT
ecletica-1009	63	1	2	2	NUM
ecletica-1009	63	2	)	)	PUNCT
ecletica-1009	63	3	from	from	ADP
ecletica-1009	63	4	a	a	DET
ecletica-1009	63	5	training	training	NOUN
ecletica-1009	63	6	data	datum	NOUN
ecletica-1009	63	7	set	set	VERB
ecletica-1009	63	8	with	with	ADP
ecletica-1009	63	9	pre	pre	ADJ
ecletica-1009	63	10	-	-	ADJ
ecletica-1009	63	11	assigned	assign	VERB
ecletica-1009	63	12	input	input	NOUN
ecletica-1009	63	13	/	/	SYM
ecletica-1009	63	14	output	output	NOUN
ecletica-1009	63	15	pairs	pair	NOUN
ecletica-1009	63	16	,	,	PUNCT
ecletica-1009	63	17	take	take	VERB
ecletica-1009	63	18	the	the	DET
ecletica-1009	63	19	k	k	NOUN
ecletica-1009	63	20	-	-	PUNCT
ecletica-1009	63	21	th	th	X
ecletica-1009	63	22	(	(	PUNCT
ecletica-1009	63	23	𝑝𝑖	𝑝𝑖	NOUN
ecletica-1009	63	24	𝑘	𝑘	PROPN
ecletica-1009	63	25	,	,	PUNCT
ecletica-1009	63	26	𝑎𝑖	𝑎𝑖	ADP
ecletica-1009	63	27	𝑘	𝑘	NOUN
ecletica-1009	63	28	)	)	PUNCT
ecletica-1009	63	29	pair	pair	NOUN
ecletica-1009	63	30	,	,	PUNCT
ecletica-1009	63	31	calculate	calculate	VERB
ecletica-1009	63	32	the	the	DET
ecletica-1009	63	33	outputs	output	NOUN
ecletica-1009	63	34	of	of	ADP
ecletica-1009	63	35	the	the	DET
ecletica-1009	63	36	network	network	NOUN
ecletica-1009	63	37	with	with	ADP
ecletica-1009	63	38	the	the	DET
ecletica-1009	63	39	same	same	ADJ
ecletica-1009	63	40	input	input	NOUN
ecletica-1009	63	41	,	,	PUNCT
ecletica-1009	63	42	and	and	CCONJ
ecletica-1009	63	43	form	form	VERB
ecletica-1009	63	44	the	the	DET
ecletica-1009	63	45	new	new	ADJ
ecletica-1009	63	46	pair	pair	NOUN
ecletica-1009	63	47	(	(	PUNCT
ecletica-1009	63	48	𝑝𝑖	𝑝𝑖	NOUN
ecletica-1009	63	49	𝑘	𝑘	PROPN
ecletica-1009	63	50	,	,	PUNCT
ecletica-1009	63	51	𝑡𝑖	𝑡𝑖	NOUN
ecletica-1009	63	52	𝑘	𝑘	NOUN
ecletica-1009	63	53	)	)	PUNCT
ecletica-1009	63	54	.	.	PUNCT
ecletica-1009	64	1	r	r	NOUN
ecletica-1009	64	2	g	g	PROPN
ecletica-1009	64	3	b	b	PROPN
ecletica-1009	64	4	h	h	NOUN
ecletica-1009	64	5	s	s	NOUN
ecletica-1009	64	6	v	v	X
ecletica-1009	64	7	rr	rr	INTJ
ecletica-1009	64	8	rg	rg	PROPN
ecletica-1009	64	9	rb	rb	PROPN
ecletica-1009	64	10	linputs	linput	NOUN
ecletica-1009	64	11	for	for	ADP
ecletica-1009	64	12	ann	ann	PROPN
ecletica-1009	64	13	average	average	ADJ
ecletica-1009	64	14	value	value	NOUN
ecletica-1009	64	15	...	...	PUNCT
ecletica-1009	64	16	average	average	ADJ
ecletica-1009	64	17	value	value	NOUN
ecletica-1009	64	18	r	r	NOUN
ecletica-1009	64	19	g	g	NOUN
ecletica-1009	64	20	b	b	PROPN
ecletica-1009	64	21	h	h	NOUN
ecletica-1009	64	22	s	s	NOUN
ecletica-1009	64	23	v	v	ADP
ecletica-1009	64	24	r	r	NOUN
ecletica-1009	64	25	g	g	NOUN
ecletica-1009	64	26	b	b	PROPN
ecletica-1009	64	27	l	l	NOUN
ecletica-1009	64	28	...	...	PUNCT
ecletica-1009	64	29	1	1	NUM
ecletica-1009	64	30	...	...	SYM
ecletica-1009	64	31	256	256	NUM
ecletica-1009	64	32	1	1	NUM
ecletica-1009	64	33	...	...	SYM
ecletica-1009	64	34	256	256	NUM
ecletica-1009	64	35			NOUN
ecletica-1009	64	36	f	f	X
ecletica-1009	64	37	re	re	VERB
ecletica-1009	64	38	q	q	X
ecletica-1009	64	39	u	u	X
ecletica-1009	64	40	e	e	X
ecletica-1009	64	41	n	n	PROPN
ecletica-1009	64	42	c	c	PROPN
ecletica-1009	64	43	y	y	PROPN
ecletica-1009	64	44	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	NOUN
ecletica-1009	64	45	original	original	ADJ
ecletica-1009	64	46	article	article	NOUN
ecletica-1009	64	47	14	14	NUM
ecletica-1009	64	48	eclética	eclética	PROPN
ecletica-1009	64	49	química	química	PROPN
ecletica-1009	64	50	journal	journal	PROPN
ecletica-1009	64	51	,	,	PUNCT
ecletica-1009	64	52	vol	vol	NOUN
ecletica-1009	64	53	.	.	PROPN
ecletica-1009	64	54	45	45	NUM
ecletica-1009	64	55	,	,	PUNCT
ecletica-1009	64	56	n.	n.	NOUN
ecletica-1009	64	57	1	1	NUM
ecletica-1009	64	58	,	,	PUNCT
ecletica-1009	64	59	2020	2020	NUM
ecletica-1009	64	60	,	,	PUNCT
ecletica-1009	64	61	11	11	NUM
ecletica-1009	64	62	-	-	SYM
ecletica-1009	64	63	17	17	NUM
ecletica-1009	64	64	issn	issn	NOUN
ecletica-1009	64	65	:	:	PUNCT
ecletica-1009	64	66	1678	1678	NUM
ecletica-1009	64	67	-	-	SYM
ecletica-1009	64	68	4618	4618	NUM
ecletica-1009	64	69	doi	doi	NOUN
ecletica-1009	64	70	:	:	PUNCT
ecletica-1009	64	71	10.26850/1678	10.26850/1678	NUM
ecletica-1009	64	72	-	-	PUNCT
ecletica-1009	64	73	4618eqj.v45.1.2020.p11	4618eqj.v45.1.2020.p11	NOUN
ecletica-1009	64	74	-	-	PUNCT
ecletica-1009	64	75	17	17	NUM
ecletica-1009	64	76	3	3	NUM
ecletica-1009	64	77	)	)	PUNCT
ecletica-1009	64	78	calculate	calculate	VERB
ecletica-1009	64	79	the	the	DET
ecletica-1009	64	80	error	error	NOUN
ecletica-1009	64	81	between	between	ADP
ecletica-1009	64	82	the	the	DET
ecletica-1009	64	83	desired	desire	VERB
ecletica-1009	64	84	𝑎𝑖	𝑎𝑖	ADP
ecletica-1009	64	85	𝑘	𝑘	PROPN
ecletica-1009	64	86	and	and	CCONJ
ecletica-1009	64	87	the	the	PRON
ecletica-1009	64	88	obtained	obtain	VERB
ecletica-1009	64	89	𝑡𝑖	𝑡𝑖	X
ecletica-1009	64	90	𝑘	𝑘	PRON
ecletica-1009	64	91	output	output	NOUN
ecletica-1009	64	92	values	value	NOUN
ecletica-1009	64	93	through	through	ADP
ecletica-1009	64	94	the	the	DET
ecletica-1009	64	95	formula	formula	NOUN
ecletica-1009	64	96	𝑒	𝑒	PART
ecletica-1009	64	97	=	=	PRON
ecletica-1009	64	98	√∑	√∑	PUNCT
ecletica-1009	64	99	(	(	PUNCT
ecletica-1009	64	100	𝑎𝑖	𝑎𝑖	ADP
ecletica-1009	64	101	𝑘	𝑘	PRON
ecletica-1009	64	102	−	−	PROPN
ecletica-1009	64	103	𝑡𝑖	𝑡𝑖	NOUN
ecletica-1009	64	104	𝑘	𝑘	NOUN
ecletica-1009	64	105	)	)	PUNCT
ecletica-1009	64	106	2	2	NUM
ecletica-1009	64	107	𝑖	𝑖	SYM
ecletica-1009	64	108	(	(	PUNCT
ecletica-1009	64	109	1	1	NUM
ecletica-1009	64	110	)	)	PUNCT
ecletica-1009	64	111	4	4	NUM
ecletica-1009	64	112	)	)	PUNCT
ecletica-1009	64	113	calculate	calculate	VERB
ecletica-1009	64	114	the	the	DET
ecletica-1009	64	115	partial	partial	ADJ
ecletica-1009	64	116	derivatives	derivative	NOUN
ecletica-1009	64	117	of	of	ADP
ecletica-1009	64	118	error	error	NOUN
ecletica-1009	64	119	e	e	NOUN
ecletica-1009	64	120	with	with	ADP
ecletica-1009	64	121	respect	respect	NOUN
ecletica-1009	64	122	to	to	ADP
ecletica-1009	64	123	the	the	DET
ecletica-1009	64	124	weights	weight	NOUN
ecletica-1009	64	125	and	and	CCONJ
ecletica-1009	64	126	bias	bias	NOUN
ecletica-1009	64	127	.	.	PUNCT
ecletica-1009	65	1	5	5	X
ecletica-1009	65	2	)	)	PUNCT
ecletica-1009	65	3	change	change	VERB
ecletica-1009	65	4	the	the	DET
ecletica-1009	65	5	weights	weight	NOUN
ecletica-1009	65	6	and	and	CCONJ
ecletica-1009	65	7	bias	bias	NOUN
ecletica-1009	65	8	according	accord	VERB
ecletica-1009	65	9	to	to	ADP
ecletica-1009	65	10	the	the	DET
ecletica-1009	65	11	steepest	steep	ADJ
ecletica-1009	65	12	descent	descent	NOUN
ecletica-1009	65	13	strategy	strategy	NOUN
ecletica-1009	65	14	and	and	CCONJ
ecletica-1009	65	15	a	a	DET
ecletica-1009	65	16	specified	specify	VERB
ecletica-1009	65	17	learning	learning	NOUN
ecletica-1009	65	18	rate	rate	NOUN
ecletica-1009	65	19	α	α	NOUN
ecletica-1009	65	20	:	:	PUNCT
ecletica-1009	65	21	𝑏𝑖,𝑗	𝑏𝑖,𝑗	ADP
ecletica-1009	65	22	←	←	PROPN
ecletica-1009	65	23	𝑏𝑖,𝑗	𝑏𝑖,𝑗	NOUN
ecletica-1009	65	24	−	−	PROPN
ecletica-1009	65	25	𝛼	𝛼	SYM
ecletica-1009	65	26	𝜕𝑒	𝜕𝑒	ADJ
ecletica-1009	65	27	𝜕𝑏𝑖,𝑗	𝜕𝑏𝑖,𝑗	NOUN
ecletica-1009	65	28	(	(	PUNCT
ecletica-1009	65	29	2	2	NUM
ecletica-1009	65	30	)	)	PUNCT
ecletica-1009	65	31	and	and	CCONJ
ecletica-1009	65	32	𝑤𝑖,𝑗	𝑤𝑖,𝑗	VERB
ecletica-1009	65	33	←	←	PROPN
ecletica-1009	65	34	𝑤𝑖,𝑗	𝑤𝑖,𝑗	NOUN
ecletica-1009	65	35	−	−	PROPN
ecletica-1009	65	36	𝛼	𝛼	PROPN
ecletica-1009	65	37	𝜕𝑒	𝜕𝑒	ADJ
ecletica-1009	65	38	𝜕𝑤𝑖,𝑗	𝜕𝑤𝑖,𝑗	NOUN
ecletica-1009	65	39	(	(	PUNCT
ecletica-1009	65	40	3	3	NUM
ecletica-1009	65	41	)	)	PUNCT
ecletica-1009	65	42	6	6	NUM
ecletica-1009	65	43	)	)	PUNCT
ecletica-1009	65	44	iterate	iterate	NOUN
ecletica-1009	65	45	steps	step	NOUN
ecletica-1009	65	46	2	2	NUM
ecletica-1009	65	47	to	to	PART
ecletica-1009	65	48	5	5	NUM
ecletica-1009	65	49	by	by	ADP
ecletica-1009	65	50	successively	successively	ADV
ecletica-1009	65	51	modifying	modify	VERB
ecletica-1009	65	52	𝑏𝑖,𝑗	𝑏𝑖,𝑗	NOUN
ecletica-1009	65	53	and	and	CCONJ
ecletica-1009	65	54	𝑤𝑖,𝑗	𝑤𝑖,𝑗	VERB
ecletica-1009	65	55	until	until	SCONJ
ecletica-1009	65	56	a	a	DET
ecletica-1009	65	57	defined	define	VERB
ecletica-1009	65	58	number	number	NOUN
ecletica-1009	65	59	of	of	ADP
ecletica-1009	65	60	learning	learn	VERB
ecletica-1009	65	61	cycles	cycle	NOUN
ecletica-1009	65	62	or	or	CCONJ
ecletica-1009	65	63	a	a	DET
ecletica-1009	65	64	stopping	stop	VERB
ecletica-1009	65	65	criterion	criterion	NOUN
ecletica-1009	65	66	is	be	AUX
ecletica-1009	65	67	reached	reach	VERB
ecletica-1009	65	68	.	.	PUNCT
ecletica-1009	66	1	the	the	DET
ecletica-1009	66	2	parameter	parameter	NOUN
ecletica-1009	66	3	learning	learning	NOUN
ecletica-1009	66	4	rate	rate	NOUN
ecletica-1009	66	5	,	,	PUNCT
ecletica-1009	66	6	number	number	NOUN
ecletica-1009	66	7	of	of	ADP
ecletica-1009	66	8	neurons	neuron	NOUN
ecletica-1009	66	9	per	per	ADP
ecletica-1009	66	10	layer	layer	NOUN
ecletica-1009	66	11	,	,	PUNCT
ecletica-1009	66	12	number	number	NOUN
ecletica-1009	66	13	of	of	ADP
ecletica-1009	66	14	layers	layer	NOUN
ecletica-1009	66	15	,	,	PUNCT
ecletica-1009	66	16	activation	activation	NOUN
ecletica-1009	66	17	functions	function	NOUN
ecletica-1009	66	18	and	and	CCONJ
ecletica-1009	66	19	number	number	NOUN
ecletica-1009	66	20	of	of	ADP
ecletica-1009	66	21	epochs	epoch	NOUN
ecletica-1009	66	22	were	be	AUX
ecletica-1009	66	23	varied	vary	VERB
ecletica-1009	66	24	by	by	ADP
ecletica-1009	66	25	trial	trial	NOUN
ecletica-1009	66	26	and	and	CCONJ
ecletica-1009	66	27	error	error	NOUN
ecletica-1009	66	28	to	to	PART
ecletica-1009	66	29	obtain	obtain	VERB
ecletica-1009	66	30	the	the	DET
ecletica-1009	66	31	best	good	ADJ
ecletica-1009	66	32	result	result	NOUN
ecletica-1009	66	33	,	,	PUNCT
ecletica-1009	66	34	and	and	CCONJ
ecletica-1009	66	35	early	early	ADJ
ecletica-1009	66	36	stopping	stopping	NOUN
ecletica-1009	66	37	of	of	ADP
ecletica-1009	66	38	the	the	DET
ecletica-1009	66	39	training	training	NOUN
ecletica-1009	66	40	was	be	AUX
ecletica-1009	66	41	performed	perform	VERB
ecletica-1009	66	42	to	to	PART
ecletica-1009	66	43	avoid	avoid	VERB
ecletica-1009	66	44	overtraining	overtraining	NOUN
ecletica-1009	66	45	.	.	PUNCT
ecletica-1009	67	1	3	3	X
ecletica-1009	67	2	.	.	NOUN
ecletica-1009	67	3	results	result	NOUN
ecletica-1009	67	4	and	and	CCONJ
ecletica-1009	67	5	discussion	discussion	NOUN
ecletica-1009	67	6	the	the	DET
ecletica-1009	67	7	ranges	range	NOUN
ecletica-1009	67	8	of	of	ADP
ecletica-1009	67	9	bulk	bulk	ADJ
ecletica-1009	67	10	density	density	NOUN
ecletica-1009	67	11	measured	measure	VERB
ecletica-1009	67	12	using	use	VERB
ecletica-1009	67	13	the	the	DET
ecletica-1009	67	14	reference	reference	NOUN
ecletica-1009	67	15	method	method	NOUN
ecletica-1009	67	16	were	be	AUX
ecletica-1009	67	17	in	in	ADP
ecletica-1009	67	18	g	g	PROPN
ecletica-1009	67	19	cm-3	cm-3	ADV
ecletica-1009	67	20	for	for	ADP
ecletica-1009	67	21	soybean	soybean	NOUN
ecletica-1009	67	22	between	between	ADP
ecletica-1009	67	23	0.61	0.61	NUM
ecletica-1009	67	24	and	and	CCONJ
ecletica-1009	67	25	0.65	0.65	NUM
ecletica-1009	67	26	,	,	PUNCT
ecletica-1009	67	27	bean	bean	NOUN
ecletica-1009	67	28	(	(	PUNCT
ecletica-1009	67	29	0.75	0.75	NUM
ecletica-1009	67	30	-	-	SYM
ecletica-1009	67	31	0.78	0.78	NUM
ecletica-1009	67	32	)	)	PUNCT
ecletica-1009	67	33	,	,	PUNCT
ecletica-1009	67	34	chickpea	chickpea	NOUN
ecletica-1009	67	35	(	(	PUNCT
ecletica-1009	67	36	0.63	0.63	NUM
ecletica-1009	67	37	-	-	SYM
ecletica-1009	67	38	0.68	0.68	NUM
ecletica-1009	67	39	)	)	PUNCT
ecletica-1009	67	40	and	and	CCONJ
ecletica-1009	67	41	corn	corn	NOUN
ecletica-1009	67	42	(	(	PUNCT
ecletica-1009	67	43	0.68	0.68	NUM
ecletica-1009	67	44	-	-	PUNCT
ecletica-1009	67	45	0.85	0.85	NUM
ecletica-1009	67	46	)	)	PUNCT
ecletica-1009	67	47	.	.	PUNCT
ecletica-1009	68	1	the	the	DET
ecletica-1009	68	2	variation	variation	NOUN
ecletica-1009	68	3	of	of	ADP
ecletica-1009	68	4	values	value	NOUN
ecletica-1009	68	5	among	among	ADP
ecletica-1009	68	6	the	the	DET
ecletica-1009	68	7	colors	color	NOUN
ecletica-1009	68	8	converted	convert	VERB
ecletica-1009	68	9	from	from	ADP
ecletica-1009	68	10	the	the	DET
ecletica-1009	68	11	images	image	NOUN
ecletica-1009	68	12	were	be	AUX
ecletica-1009	68	13	:	:	PUNCT
ecletica-1009	68	14	(	(	PUNCT
ecletica-1009	68	15	i	i	NOUN
ecletica-1009	68	16	)	)	PUNCT
ecletica-1009	68	17	soybean	soybean	NOUN
ecletica-1009	68	18	grains	grain	NOUN
ecletica-1009	68	19	:	:	PUNCT
ecletica-1009	68	20	r	r	NOUN
ecletica-1009	68	21	(	(	PUNCT
ecletica-1009	68	22	174–192	174–192	NUM
ecletica-1009	68	23	)	)	PUNCT
ecletica-1009	68	24	,	,	PUNCT
ecletica-1009	68	25	g	g	PROPN
ecletica-1009	68	26	(	(	PUNCT
ecletica-1009	68	27	128–135	128–135	NUM
ecletica-1009	68	28	)	)	PUNCT
ecletica-1009	68	29	,	,	PUNCT
ecletica-1009	68	30	b	b	X
ecletica-1009	68	31	(	(	PUNCT
ecletica-1009	68	32	83–91	83–91	NUM
ecletica-1009	68	33	)	)	PUNCT
ecletica-1009	68	34	,	,	PUNCT
ecletica-1009	68	35	h	h	PROPN
ecletica-1009	68	36	(	(	PUNCT
ecletica-1009	68	37	0.079–0.081	0.079–0.081	PROPN
ecletica-1009	68	38	)	)	PUNCT
ecletica-1009	68	39	,	,	PUNCT
ecletica-1009	68	40	s	s	X
ecletica-1009	68	41	(	(	PUNCT
ecletica-1009	68	42	0.52	0.52	NUM
ecletica-1009	68	43	–	–	PUNCT
ecletica-1009	68	44	0.57	0.57	NUM
ecletica-1009	68	45	)	)	PUNCT
ecletica-1009	68	46	,	,	PUNCT
ecletica-1009	68	47	v	v	X
ecletica-1009	68	48	(	(	PUNCT
ecletica-1009	68	49	0.68–071	0.68–071	NOUN
ecletica-1009	68	50	)	)	PUNCT
ecletica-1009	68	51	,	,	PUNCT
ecletica-1009	68	52	r	r	NOUN
ecletica-1009	68	53	(	(	PUNCT
ecletica-1009	68	54	0.46–0.48	0.46–0.48	PROPN
ecletica-1009	68	55	)	)	PUNCT
ecletica-1009	68	56	,	,	PUNCT
ecletica-1009	68	57	g	g	PROPN
ecletica-1009	68	58	(	(	PUNCT
ecletica-1009	68	59	0.32–0.33	0.32–0.33	NUM
ecletica-1009	68	60	)	)	PUNCT
ecletica-1009	68	61	,	,	PUNCT
ecletica-1009	68	62	b	b	X
ecletica-1009	68	63	(	(	PUNCT
ecletica-1009	68	64	0.19–0.21	0.19–0.21	NUM
ecletica-1009	68	65	)	)	PUNCT
ecletica-1009	68	66	,	,	PUNCT
ecletica-1009	68	67	and	and	CCONJ
ecletica-1009	68	68	l	l	NOUN
ecletica-1009	68	69	(	(	PUNCT
ecletica-1009	68	70	386–407	386–407	NUM
ecletica-1009	68	71	)	)	PUNCT
ecletica-1009	68	72	;	;	PUNCT
ecletica-1009	68	73	(	(	PUNCT
ecletica-1009	68	74	ii	ii	NOUN
ecletica-1009	68	75	)	)	PUNCT
ecletica-1009	68	76	bean	bean	NOUN
ecletica-1009	68	77	grains	grain	NOUN
ecletica-1009	68	78	:	:	PUNCT
ecletica-1009	68	79	r	r	NOUN
ecletica-1009	68	80	(	(	PUNCT
ecletica-1009	68	81	140–147	140–147	NUM
ecletica-1009	68	82	)	)	PUNCT
ecletica-1009	68	83	,	,	PUNCT
ecletica-1009	68	84	g	g	PROPN
ecletica-1009	68	85	(	(	PUNCT
ecletica-1009	68	86	91–99	91–99	NUM
ecletica-1009	68	87	)	)	PUNCT
ecletica-1009	68	88	,	,	PUNCT
ecletica-1009	68	89	b	b	X
ecletica-1009	68	90	(	(	PUNCT
ecletica-1009	68	91	63–72	63–72	NUM
ecletica-1009	68	92	)	)	PUNCT
ecletica-1009	68	93	,	,	PUNCT
ecletica-1009	68	94	h	h	NOUN
ecletica-1009	68	95	(	(	PUNCT
ecletica-1009	68	96	0.066	0.066	NUM
ecletica-1009	68	97	–	–	PUNCT
ecletica-1009	68	98	0.072	0.072	NUM
ecletica-1009	68	99	)	)	PUNCT
ecletica-1009	68	100	,	,	PUNCT
ecletica-1009	68	101	s	s	X
ecletica-1009	68	102	(	(	PUNCT
ecletica-1009	68	103	0.56–0.61	0.56–0.61	NOUN
ecletica-1009	68	104	)	)	PUNCT
ecletica-1009	68	105	,	,	PUNCT
ecletica-1009	68	106	v	v	PROPN
ecletica-1009	68	107	(	(	PUNCT
ecletica-1009	68	108	0.55–0.58	0.55–0.58	NUM
ecletica-1009	68	109	)	)	PUNCT
ecletica-1009	68	110	,	,	PUNCT
ecletica-1009	68	111	r	r	NOUN
ecletica-1009	68	112	(	(	PUNCT
ecletica-1009	68	113	0.51	0.51	NUM
ecletica-1009	68	114	–	–	PUNCT
ecletica-1009	68	115	0.53	0.53	NUM
ecletica-1009	68	116	)	)	PUNCT
ecletica-1009	68	117	,	,	PUNCT
ecletica-1009	68	118	g	g	PROPN
ecletica-1009	68	119	(	(	PUNCT
ecletica-1009	68	120	0.29–0.30	0.29–0.30	PROPN
ecletica-1009	68	121	)	)	PUNCT
ecletica-1009	68	122	,	,	PUNCT
ecletica-1009	68	123	b	b	X
ecletica-1009	68	124	(	(	PUNCT
ecletica-1009	68	125	0.18–0.20	0.18–0.20	NUM
ecletica-1009	68	126	)	)	PUNCT
ecletica-1009	68	127	,	,	PUNCT
ecletica-1009	68	128	and	and	CCONJ
ecletica-1009	68	129	l	l	NOUN
ecletica-1009	68	130	(	(	PUNCT
ecletica-1009	68	131	294	294	NUM
ecletica-1009	68	132	–	–	PUNCT
ecletica-1009	68	133	317	317	NUM
ecletica-1009	68	134	)	)	PUNCT
ecletica-1009	68	135	;	;	PUNCT
ecletica-1009	68	136	chickpea	chickpea	NOUN
ecletica-1009	68	137	grains	grain	NOUN
ecletica-1009	68	138	:	:	PUNCT
ecletica-1009	68	139	r	r	NOUN
ecletica-1009	68	140	(	(	PUNCT
ecletica-1009	68	141	167–174	167–174	NUM
ecletica-1009	68	142	)	)	PUNCT
ecletica-1009	68	143	,	,	PUNCT
ecletica-1009	68	144	g	g	PROPN
ecletica-1009	68	145	(	(	PUNCT
ecletica-1009	68	146	131–137	131–137	NUM
ecletica-1009	68	147	)	)	PUNCT
ecletica-1009	68	148	,	,	PUNCT
ecletica-1009	68	149	b	b	X
ecletica-1009	68	150	(	(	PUNCT
ecletica-1009	68	151	103–111	103–111	NUM
ecletica-1009	68	152	)	)	PUNCT
ecletica-1009	68	153	,	,	PUNCT
ecletica-1009	68	154	h	h	NOUN
ecletica-1009	68	155	(	(	PUNCT
ecletica-1009	68	156	0.070–0.074	0.070–0.074	NOUN
ecletica-1009	68	157	)	)	PUNCT
ecletica-1009	68	158	,	,	PUNCT
ecletica-1009	68	159	s	s	X
ecletica-1009	68	160	(	(	PUNCT
ecletica-1009	68	161	0.39	0.39	NUM
ecletica-1009	68	162	–	–	PUNCT
ecletica-1009	68	163	0.42	0.42	NUM
ecletica-1009	68	164	)	)	PUNCT
ecletica-1009	68	165	,	,	PUNCT
ecletica-1009	68	166	v	v	PROPN
ecletica-1009	68	167	(	(	PUNCT
ecletica-1009	68	168	0.66–0.68	0.66–0.68	NUM
ecletica-1009	68	169	)	)	PUNCT
ecletica-1009	68	170	,	,	PUNCT
ecletica-1009	68	171	r	r	NOUN
ecletica-1009	68	172	(	(	PUNCT
ecletica-1009	68	173	0.43–0.44	0.43–0.44	NUM
ecletica-1009	68	174	)	)	PUNCT
ecletica-1009	68	175	,	,	PUNCT
ecletica-1009	68	176	g	g	PROPN
ecletica-1009	68	177	(	(	PUNCT
ecletica-1009	68	178	0.318–0.321	0.318–0.321	NOUN
ecletica-1009	68	179	)	)	PUNCT
ecletica-1009	68	180	,	,	PUNCT
ecletica-1009	68	181	b	b	X
ecletica-1009	68	182	(	(	PUNCT
ecletica-1009	68	183	0.24–0.25	0.24–0.25	NOUN
ecletica-1009	68	184	)	)	PUNCT
ecletica-1009	68	185	,	,	PUNCT
ecletica-1009	68	186	and	and	CCONJ
ecletica-1009	68	187	l	l	NOUN
ecletica-1009	68	188	(	(	PUNCT
ecletica-1009	68	189	401–421	401–421	NUM
ecletica-1009	68	190	)	)	PUNCT
ecletica-1009	68	191	and	and	CCONJ
ecletica-1009	68	192	(	(	PUNCT
ecletica-1009	68	193	iv	iv	X
ecletica-1009	68	194	)	)	PUNCT
ecletica-1009	68	195	corn	corn	NOUN
ecletica-1009	68	196	grains	grain	NOUN
ecletica-1009	68	197	:	:	PUNCT
ecletica-1009	68	198	r	r	NOUN
ecletica-1009	68	199	(	(	PUNCT
ecletica-1009	68	200	196–217	196–217	NUM
ecletica-1009	68	201	)	)	PUNCT
ecletica-1009	68	202	,	,	PUNCT
ecletica-1009	68	203	g	g	PROPN
ecletica-1009	68	204	(	(	PUNCT
ecletica-1009	68	205	122–145	122–145	NUM
ecletica-1009	68	206	)	)	PUNCT
ecletica-1009	68	207	,	,	PUNCT
ecletica-1009	68	208	b	b	X
ecletica-1009	68	209	(	(	PUNCT
ecletica-1009	68	210	75–100	75–100	NUM
ecletica-1009	68	211	)	)	PUNCT
ecletica-1009	68	212	,	,	PUNCT
ecletica-1009	68	213	h	h	NOUN
ecletica-1009	68	214	(	(	PUNCT
ecletica-1009	68	215	0.06	0.06	NUM
ecletica-1009	68	216	–	–	PUNCT
ecletica-1009	68	217	0.07	0.07	NUM
ecletica-1009	68	218	)	)	PUNCT
ecletica-1009	68	219	,	,	PUNCT
ecletica-1009	68	220	s	s	X
ecletica-1009	68	221	(	(	PUNCT
ecletica-1009	68	222	0.55–0.64	0.55–0.64	NUM
ecletica-1009	68	223	)	)	PUNCT
ecletica-1009	68	224	,	,	PUNCT
ecletica-1009	68	225	v	v	PROPN
ecletica-1009	68	226	(	(	PUNCT
ecletica-1009	68	227	0.77–0.85	0.77–0.85	NUM
ecletica-1009	68	228	)	)	PUNCT
ecletica-1009	68	229	,	,	PUNCT
ecletica-1009	68	230	r	r	NOUN
ecletica-1009	68	231	(	(	PUNCT
ecletica-1009	68	232	0.49–0.53	0.49–0.53	NUM
ecletica-1009	68	233	)	)	PUNCT
ecletica-1009	68	234	,	,	PUNCT
ecletica-1009	68	235	g	g	PROPN
ecletica-1009	68	236	(	(	PUNCT
ecletica-1009	68	237	0.30–0.31	0.30–0.31	NUM
ecletica-1009	68	238	)	)	PUNCT
ecletica-1009	68	239	,	,	PUNCT
ecletica-1009	68	240	b	b	X
ecletica-1009	68	241	(	(	PUNCT
ecletica-1009	68	242	0.17–0.20	0.17–0.20	NUM
ecletica-1009	68	243	)	)	PUNCT
ecletica-1009	68	244	,	,	PUNCT
ecletica-1009	68	245	and	and	CCONJ
ecletica-1009	68	246	l	l	NOUN
ecletica-1009	68	247	(	(	PUNCT
ecletica-1009	68	248	397–461	397–461	NUM
ecletica-1009	68	249	)	)	PUNCT
ecletica-1009	68	250	.	.	PUNCT
ecletica-1009	69	1	in	in	ADP
ecletica-1009	69	2	all	all	PRON
ecletica-1009	69	3	of	of	ADP
ecletica-1009	69	4	cases	case	NOUN
ecletica-1009	69	5	,	,	PUNCT
ecletica-1009	69	6	differences	difference	NOUN
ecletica-1009	69	7	among	among	ADP
ecletica-1009	69	8	the	the	DET
ecletica-1009	69	9	samples	sample	NOUN
ecletica-1009	69	10	were	be	AUX
ecletica-1009	69	11	revealed	reveal	VERB
ecletica-1009	69	12	that	that	SCONJ
ecletica-1009	69	13	justify	justify	VERB
ecletica-1009	69	14	an	an	DET
ecletica-1009	69	15	ann	ann	PROPN
ecletica-1009	69	16	model	model	NOUN
ecletica-1009	69	17	using	use	VERB
ecletica-1009	69	18	the	the	DET
ecletica-1009	69	19	10	10	NUM
ecletica-1009	69	20	colors	color	NOUN
ecletica-1009	69	21	as	as	ADP
ecletica-1009	69	22	input	input	NOUN
ecletica-1009	69	23	layer	layer	NOUN
ecletica-1009	69	24	.	.	PUNCT
ecletica-1009	70	1	tests	test	NOUN
ecletica-1009	70	2	were	be	AUX
ecletica-1009	70	3	also	also	ADV
ecletica-1009	70	4	performed	perform	VERB
ecletica-1009	70	5	without	without	ADP
ecletica-1009	70	6	variables	variable	NOUN
ecletica-1009	70	7	h	h	NOUN
ecletica-1009	70	8	and	and	CCONJ
ecletica-1009	70	9	l	l	NOUN
ecletica-1009	70	10	,	,	PUNCT
ecletica-1009	70	11	for	for	ADP
ecletica-1009	70	12	example	example	NOUN
ecletica-1009	70	13	,	,	PUNCT
ecletica-1009	70	14	showed	show	VERB
ecletica-1009	70	15	worse	bad	ADJ
ecletica-1009	70	16	than	than	SCONJ
ecletica-1009	70	17	all	all	DET
ecletica-1009	70	18	input	input	NOUN
ecletica-1009	70	19	variables	variable	NOUN
ecletica-1009	70	20	were	be	AUX
ecletica-1009	70	21	used	use	VERB
ecletica-1009	70	22	.	.	PUNCT
ecletica-1009	71	1	for	for	ADP
ecletica-1009	71	2	this	this	DET
ecletica-1009	71	3	case	case	NOUN
ecletica-1009	71	4	,	,	PUNCT
ecletica-1009	71	5	the	the	DET
ecletica-1009	71	6	correlation	correlation	NOUN
ecletica-1009	71	7	coefficients	coefficient	NOUN
ecletica-1009	71	8	were	be	AUX
ecletica-1009	71	9	0.94	0.94	NUM
ecletica-1009	71	10	,	,	PUNCT
ecletica-1009	71	11	0.84	0.84	NUM
ecletica-1009	71	12	and	and	CCONJ
ecletica-1009	71	13	0.92	0.92	NUM
ecletica-1009	71	14	for	for	ADP
ecletica-1009	71	15	training	training	NOUN
ecletica-1009	71	16	,	,	PUNCT
ecletica-1009	71	17	validation	validation	NOUN
ecletica-1009	71	18	and	and	CCONJ
ecletica-1009	71	19	test	test	NOUN
ecletica-1009	71	20	sets	set	NOUN
ecletica-1009	71	21	,	,	PUNCT
ecletica-1009	71	22	respectively	respectively	ADV
ecletica-1009	71	23	.	.	PUNCT
ecletica-1009	72	1	therefore	therefore	ADV
ecletica-1009	72	2	,	,	PUNCT
ecletica-1009	72	3	the	the	DET
ecletica-1009	72	4	input	input	NOUN
ecletica-1009	72	5	variables	variable	NOUN
ecletica-1009	72	6	of	of	ADP
ecletica-1009	72	7	the	the	DET
ecletica-1009	72	8	ann	ann	PROPN
ecletica-1009	72	9	training	training	NOUN
ecletica-1009	72	10	set	set	NOUN
ecletica-1009	72	11	were	be	AUX
ecletica-1009	72	12	the	the	DET
ecletica-1009	72	13	r	r	NOUN
ecletica-1009	72	14	,	,	PUNCT
ecletica-1009	72	15	g	g	PROPN
ecletica-1009	72	16	,	,	PUNCT
ecletica-1009	72	17	b	b	PROPN
ecletica-1009	72	18	,	,	PUNCT
ecletica-1009	72	19	h	h	NOUN
ecletica-1009	72	20	,	,	PUNCT
ecletica-1009	72	21	s	s	PROPN
ecletica-1009	72	22	,	,	PUNCT
ecletica-1009	72	23	v	v	NOUN
ecletica-1009	72	24	,	,	PUNCT
ecletica-1009	72	25	rr	rr	NOUN
ecletica-1009	72	26	,	,	PUNCT
ecletica-1009	72	27	rg	rg	PROPN
ecletica-1009	72	28	,	,	PUNCT
ecletica-1009	72	29	rb	rb	NOUN
ecletica-1009	72	30	and	and	CCONJ
ecletica-1009	72	31	l	l	NOUN
ecletica-1009	72	32	color	color	NOUN
ecletica-1009	72	33	descriptors	descriptor	NOUN
ecletica-1009	72	34	,	,	PUNCT
ecletica-1009	72	35	for	for	ADP
ecletica-1009	72	36	a	a	DET
ecletica-1009	72	37	total	total	NOUN
ecletica-1009	72	38	of	of	ADP
ecletica-1009	72	39	10	10	NUM
ecletica-1009	72	40	input	input	NOUN
ecletica-1009	72	41	variables	variable	NOUN
ecletica-1009	72	42	for	for	ADP
ecletica-1009	72	43	each	each	DET
ecletica-1009	72	44	packet	packet	NOUN
ecletica-1009	72	45	of	of	ADP
ecletica-1009	72	46	grain	grain	NOUN
ecletica-1009	72	47	sample	sample	NOUN
ecletica-1009	72	48	;	;	PUNCT
ecletica-1009	72	49	that	that	PRON
ecletica-1009	72	50	is	is	ADV
ecletica-1009	72	51	,	,	PUNCT
ecletica-1009	72	52	the	the	DET
ecletica-1009	72	53	developed	develop	VERB
ecletica-1009	72	54	ann	ann	PROPN
ecletica-1009	72	55	had	have	VERB
ecletica-1009	72	56	10	10	NUM
ecletica-1009	72	57	neurons	neuron	NOUN
ecletica-1009	72	58	in	in	ADP
ecletica-1009	72	59	the	the	DET
ecletica-1009	72	60	input	input	NOUN
ecletica-1009	72	61	layer	layer	NOUN
ecletica-1009	72	62	(	(	PUNCT
ecletica-1009	72	63	fig	fig	NOUN
ecletica-1009	72	64	.	.	PUNCT
ecletica-1009	73	1	2	2	NUM
ecletica-1009	73	2	)	)	PUNCT
ecletica-1009	73	3	.	.	PUNCT
ecletica-1009	74	1	the	the	DET
ecletica-1009	74	2	strategy	strategy	NOUN
ecletica-1009	74	3	of	of	ADP
ecletica-1009	74	4	averaged	average	VERB
ecletica-1009	74	5	value	value	NOUN
ecletica-1009	74	6	of	of	ADP
ecletica-1009	74	7	each	each	DET
ecletica-1009	74	8	histogram	histogram	NOUN
ecletica-1009	74	9	color	color	NOUN
ecletica-1009	74	10	was	be	AUX
ecletica-1009	74	11	applied	apply	VERB
ecletica-1009	74	12	because	because	SCONJ
ecletica-1009	74	13	the	the	DET
ecletica-1009	74	14	entire	entire	ADJ
ecletica-1009	74	15	histogram	histogram	NOUN
ecletica-1009	74	16	for	for	ADP
ecletica-1009	74	17	the	the	DET
ecletica-1009	74	18	10	10	NUM
ecletica-1009	74	19	colors	color	NOUN
ecletica-1009	74	20	corresponds	correspond	VERB
ecletica-1009	74	21	to	to	ADP
ecletica-1009	74	22	2560	2560	NUM
ecletica-1009	74	23	variables	variable	NOUN
ecletica-1009	74	24	.	.	PUNCT
ecletica-1009	75	1	for	for	ADP
ecletica-1009	75	2	the	the	DET
ecletica-1009	75	3	ann	ann	PROPN
ecletica-1009	75	4	,	,	PUNCT
ecletica-1009	75	5	2560	2560	NUM
ecletica-1009	75	6	values	value	NOUN
ecletica-1009	75	7	imply	imply	VERB
ecletica-1009	75	8	2560	2560	NUM
ecletica-1009	75	9	neuron	neuron	NOUN
ecletica-1009	75	10	in	in	ADP
ecletica-1009	75	11	input	input	NOUN
ecletica-1009	75	12	layer	layer	NOUN
ecletica-1009	75	13	,	,	PUNCT
ecletica-1009	75	14	then	then	ADV
ecletica-1009	75	15	the	the	DET
ecletica-1009	75	16	calculations	calculation	NOUN
ecletica-1009	75	17	would	would	AUX
ecletica-1009	75	18	be	be	AUX
ecletica-1009	75	19	slower	slow	ADJ
ecletica-1009	75	20	than	than	ADP
ecletica-1009	75	21	that	that	PRON
ecletica-1009	75	22	computed	compute	VERB
ecletica-1009	75	23	using	use	VERB
ecletica-1009	75	24	the	the	DET
ecletica-1009	75	25	averaged	average	VERB
ecletica-1009	75	26	color	color	NOUN
ecletica-1009	75	27	values	value	NOUN
ecletica-1009	75	28	,	,	PUNCT
ecletica-1009	75	29	mainly	mainly	ADV
ecletica-1009	75	30	considering	consider	VERB
ecletica-1009	75	31	that	that	SCONJ
ecletica-1009	75	32	the	the	DET
ecletica-1009	75	33	information	information	NOUN
ecletica-1009	75	34	would	would	AUX
ecletica-1009	75	35	not	not	PART
ecletica-1009	75	36	be	be	AUX
ecletica-1009	75	37	improved	improve	VERB
ecletica-1009	75	38	.	.	PUNCT
ecletica-1009	76	1	the	the	DET
ecletica-1009	76	2	information	information	NOUN
ecletica-1009	76	3	from	from	ADP
ecletica-1009	76	4	the	the	DET
ecletica-1009	76	5	hue	hue	NOUN
ecletica-1009	76	6	(	(	PUNCT
ecletica-1009	76	7	h	h	NOUN
ecletica-1009	76	8	)	)	PUNCT
ecletica-1009	76	9	and	and	CCONJ
ecletica-1009	76	10	saturation	saturation	NOUN
ecletica-1009	76	11	(	(	PUNCT
ecletica-1009	76	12	s	s	NOUN
ecletica-1009	76	13	)	)	PUNCT
ecletica-1009	76	14	color	color	NOUN
ecletica-1009	76	15	scales	scale	NOUN
ecletica-1009	76	16	was	be	AUX
ecletica-1009	76	17	also	also	ADV
ecletica-1009	76	18	important	important	ADJ
ecletica-1009	76	19	as	as	SCONJ
ecletica-1009	76	20	revealed	reveal	VERB
ecletica-1009	76	21	by	by	ADP
ecletica-1009	76	22	our	our	PRON
ecletica-1009	76	23	previous	previous	ADJ
ecletica-1009	76	24	evaluation8	evaluation8	PROPN
ecletica-1009	76	25	.	.	PUNCT
ecletica-1009	77	1	the	the	DET
ecletica-1009	77	2	ann	ann	PROPN
ecletica-1009	77	3	outputs	output	NOUN
ecletica-1009	77	4	were	be	AUX
ecletica-1009	77	5	the	the	DET
ecletica-1009	77	6	reference	reference	NOUN
ecletica-1009	77	7	bulk	bulk	ADJ
ecletica-1009	77	8	density	density	NOUN
ecletica-1009	77	9	values	value	NOUN
ecletica-1009	77	10	.	.	PUNCT
ecletica-1009	78	1	the	the	DET
ecletica-1009	78	2	samples	sample	NOUN
ecletica-1009	78	3	were	be	AUX
ecletica-1009	78	4	randomly	randomly	ADV
ecletica-1009	78	5	divided	divide	VERB
ecletica-1009	78	6	into	into	ADP
ecletica-1009	78	7	three	three	NUM
ecletica-1009	78	8	sets	set	NOUN
ecletica-1009	78	9	as	as	SCONJ
ecletica-1009	78	10	follows	follow	VERB
ecletica-1009	78	11	:	:	PUNCT
ecletica-1009	78	12	a	a	DET
ecletica-1009	78	13	total	total	NOUN
ecletica-1009	78	14	of	of	ADP
ecletica-1009	78	15	70	70	NUM
ecletica-1009	78	16	%	%	NOUN
ecletica-1009	78	17	of	of	ADP
ecletica-1009	78	18	the	the	DET
ecletica-1009	78	19	samples	sample	NOUN
ecletica-1009	78	20	were	be	AUX
ecletica-1009	78	21	used	use	VERB
ecletica-1009	78	22	in	in	ADP
ecletica-1009	78	23	the	the	DET
ecletica-1009	78	24	ann	ann	PROPN
ecletica-1009	78	25	training	training	NOUN
ecletica-1009	78	26	set	set	NOUN
ecletica-1009	78	27	,	,	PUNCT
ecletica-1009	78	28	15	15	NUM
ecletica-1009	78	29	%	%	NOUN
ecletica-1009	78	30	was	be	AUX
ecletica-1009	78	31	used	use	VERB
ecletica-1009	78	32	for	for	ADP
ecletica-1009	78	33	the	the	DET
ecletica-1009	78	34	validation	validation	NOUN
ecletica-1009	78	35	of	of	ADP
ecletica-1009	78	36	ann	ann	PROPN
ecletica-1009	78	37	,	,	PUNCT
ecletica-1009	78	38	and	and	CCONJ
ecletica-1009	78	39	the	the	DET
ecletica-1009	78	40	remaining	remain	VERB
ecletica-1009	78	41	15	15	NUM
ecletica-1009	78	42	%	%	NOUN
ecletica-1009	78	43	was	be	AUX
ecletica-1009	78	44	used	use	VERB
ecletica-1009	78	45	to	to	PART
ecletica-1009	78	46	test	test	VERB
ecletica-1009	78	47	the	the	DET
ecletica-1009	78	48	generalizability	generalizability	NOUN
ecletica-1009	78	49	of	of	ADP
ecletica-1009	78	50	the	the	DET
ecletica-1009	78	51	ann	ann	PROPN
ecletica-1009	78	52	.	.	PUNCT
ecletica-1009	79	1	the	the	DET
ecletica-1009	79	2	training	training	NOUN
ecletica-1009	79	3	set	set	NOUN
ecletica-1009	79	4	consisted	consist	VERB
ecletica-1009	79	5	of	of	ADP
ecletica-1009	79	6	119	119	NUM
ecletica-1009	79	7	samples	sample	NOUN
ecletica-1009	79	8	,	,	PUNCT
ecletica-1009	79	9	i.e.	i.e.	X
ecletica-1009	79	10	,	,	PUNCT
ecletica-1009	79	11	38	38	NUM
ecletica-1009	79	12	soybean	soybean	NOUN
ecletica-1009	79	13	,	,	PUNCT
ecletica-1009	79	14	19	19	NUM
ecletica-1009	79	15	bean	bean	NOUN
ecletica-1009	79	16	,	,	PUNCT
ecletica-1009	79	17	24	24	NUM
ecletica-1009	79	18	chickpea	chickpea	NOUN
ecletica-1009	79	19	and	and	CCONJ
ecletica-1009	79	20	38	38	NUM
ecletica-1009	79	21	corn	corn	NOUN
ecletica-1009	79	22	samples	sample	NOUN
ecletica-1009	79	23	,	,	PUNCT
ecletica-1009	79	24	the	the	DET
ecletica-1009	79	25	validation	validation	NOUN
ecletica-1009	79	26	set	set	NOUN
ecletica-1009	79	27	had	have	VERB
ecletica-1009	79	28	26	26	NUM
ecletica-1009	79	29	samples	sample	NOUN
ecletica-1009	79	30	,	,	PUNCT
ecletica-1009	79	31	i.e.	i.e.	X
ecletica-1009	79	32	,	,	PUNCT
ecletica-1009	79	33	8	8	NUM
ecletica-1009	79	34	soybean	soybean	NOUN
ecletica-1009	79	35	,	,	PUNCT
ecletica-1009	79	36	10	10	NUM
ecletica-1009	79	37	bean	bean	NOUN
ecletica-1009	79	38	,	,	PUNCT
ecletica-1009	79	39	2	2	NUM
ecletica-1009	79	40	chickpea	chickpea	NOUN
ecletica-1009	79	41	and	and	CCONJ
ecletica-1009	79	42	6	6	NUM
ecletica-1009	79	43	corn	corn	NOUN
ecletica-1009	79	44	samples	sample	NOUN
ecletica-1009	79	45	,	,	PUNCT
ecletica-1009	79	46	and	and	CCONJ
ecletica-1009	79	47	the	the	DET
ecletica-1009	79	48	test	test	NOUN
ecletica-1009	79	49	set	set	NOUN
ecletica-1009	79	50	had	have	VERB
ecletica-1009	79	51	26	26	NUM
ecletica-1009	79	52	samples	sample	NOUN
ecletica-1009	79	53	,	,	PUNCT
ecletica-1009	79	54	i.e.	i.e.	X
ecletica-1009	79	55	,	,	PUNCT
ecletica-1009	79	56	10	10	NUM
ecletica-1009	79	57	soybean	soybean	NOUN
ecletica-1009	79	58	,	,	PUNCT
ecletica-1009	79	59	6	6	NUM
ecletica-1009	79	60	bean	bean	NOUN
ecletica-1009	79	61	,	,	PUNCT
ecletica-1009	79	62	4	4	NUM
ecletica-1009	79	63	chickpea	chickpea	NOUN
ecletica-1009	79	64	and	and	CCONJ
ecletica-1009	79	65	6	6	NUM
ecletica-1009	79	66	corn	corn	NOUN
ecletica-1009	79	67	samples	sample	NOUN
ecletica-1009	79	68	.	.	PUNCT
ecletica-1009	80	1	the	the	DET
ecletica-1009	80	2	number	number	NOUN
ecletica-1009	80	3	of	of	ADP
ecletica-1009	80	4	samples	sample	NOUN
ecletica-1009	80	5	were	be	AUX
ecletica-1009	80	6	related	relate	VERB
ecletica-1009	80	7	to	to	ADP
ecletica-1009	80	8	the	the	DET
ecletica-1009	80	9	size	size	NOUN
ecletica-1009	80	10	of	of	ADP
ecletica-1009	80	11	the	the	DET
ecletica-1009	80	12	grains	grain	NOUN
ecletica-1009	80	13	and	and	CCONJ
ecletica-1009	80	14	the	the	DET
ecletica-1009	80	15	size	size	NOUN
ecletica-1009	80	16	of	of	ADP
ecletica-1009	80	17	the	the	DET
ecletica-1009	80	18	packet	packet	NOUN
ecletica-1009	80	19	(	(	PUNCT
ecletica-1009	80	20	plastic	plastic	ADJ
ecletica-1009	80	21	bag	bag	NOUN
ecletica-1009	80	22	)	)	PUNCT
ecletica-1009	80	23	was	be	AUX
ecletica-1009	80	24	the	the	DET
ecletica-1009	80	25	same	same	ADJ
ecletica-1009	80	26	.	.	PUNCT
ecletica-1009	81	1	the	the	DET
ecletica-1009	81	2	main	main	ADJ
ecletica-1009	81	3	goal	goal	NOUN
ecletica-1009	81	4	was	be	AUX
ecletica-1009	81	5	to	to	PART
ecletica-1009	81	6	analyze	analyze	VERB
ecletica-1009	81	7	the	the	DET
ecletica-1009	81	8	entire	entire	ADJ
ecletica-1009	81	9	packet	packet	NOUN
ecletica-1009	81	10	then	then	ADV
ecletica-1009	81	11	the	the	DET
ecletica-1009	81	12	variation	variation	NOUN
ecletica-1009	81	13	in	in	ADP
ecletica-1009	81	14	size	size	NOUN
ecletica-1009	81	15	of	of	ADP
ecletica-1009	81	16	the	the	DET
ecletica-1009	81	17	grain	grain	NOUN
ecletica-1009	81	18	had	have	AUX
ecletica-1009	81	19	determined	determine	VERB
ecletica-1009	81	20	the	the	DET
ecletica-1009	81	21	number	number	NOUN
ecletica-1009	81	22	of	of	ADP
ecletica-1009	81	23	packets	packet	NOUN
ecletica-1009	81	24	,	,	PUNCT
ecletica-1009	81	25	which	which	PRON
ecletica-1009	81	26	did	do	AUX
ecletica-1009	81	27	not	not	PART
ecletica-1009	81	28	affect	affect	VERB
ecletica-1009	81	29	ann	ann	PROPN
ecletica-1009	81	30	results	result	NOUN
ecletica-1009	81	31	,	,	PUNCT
ecletica-1009	81	32	since	since	SCONJ
ecletica-1009	81	33	it	it	PRON
ecletica-1009	81	34	was	be	AUX
ecletica-1009	81	35	not	not	PART
ecletica-1009	81	36	necessary	necessary	ADJ
ecletica-1009	81	37	for	for	SCONJ
ecletica-1009	81	38	ann	ann	PROPN
ecletica-1009	81	39	to	to	PART
ecletica-1009	81	40	know	know	VERB
ecletica-1009	81	41	which	which	DET
ecletica-1009	81	42	grain	grain	NOUN
ecletica-1009	81	43	sample	sample	NOUN
ecletica-1009	81	44	was	be	AUX
ecletica-1009	81	45	being	be	AUX
ecletica-1009	81	46	analyzed	analyze	VERB
ecletica-1009	81	47	to	to	PART
ecletica-1009	81	48	estimate	estimate	VERB
ecletica-1009	81	49	grain	grain	NOUN
ecletica-1009	81	50	density	density	NOUN
ecletica-1009	81	51	in	in	ADP
ecletica-1009	81	52	each	each	DET
ecletica-1009	81	53	packet	packet	NOUN
ecletica-1009	81	54	.	.	PUNCT
ecletica-1009	82	1	a	a	DET
ecletica-1009	82	2	single	single	ADJ
ecletica-1009	82	3	ann	ann	PROPN
ecletica-1009	82	4	was	be	AUX
ecletica-1009	82	5	developed	develop	VERB
ecletica-1009	82	6	for	for	ADP
ecletica-1009	82	7	all	all	DET
ecletica-1009	82	8	four	four	NUM
ecletica-1009	82	9	types	type	NOUN
ecletica-1009	82	10	of	of	ADP
ecletica-1009	82	11	grains	grain	NOUN
ecletica-1009	82	12	(	(	PUNCT
ecletica-1009	82	13	soybeans	soybean	NOUN
ecletica-1009	82	14	,	,	PUNCT
ecletica-1009	82	15	beans	bean	NOUN
ecletica-1009	82	16	,	,	PUNCT
ecletica-1009	82	17	chickpeas	chickpeas	NOUN
ecletica-1009	82	18	and	and	CCONJ
ecletica-1009	82	19	corn	corn	NOUN
ecletica-1009	82	20	)	)	PUNCT
ecletica-1009	82	21	.	.	PUNCT
ecletica-1009	83	1	several	several	ADJ
ecletica-1009	83	2	ann	ann	PROPN
ecletica-1009	83	3	architectures	architecture	NOUN
ecletica-1009	83	4	were	be	AUX
ecletica-1009	83	5	tested	test	VERB
ecletica-1009	83	6	with	with	ADP
ecletica-1009	83	7	one	one	NUM
ecletica-1009	83	8	intermediate	intermediate	ADJ
ecletica-1009	83	9	layer	layer	NOUN
ecletica-1009	83	10	(	(	PUNCT
ecletica-1009	83	11	varying	vary	VERB
ecletica-1009	83	12	the	the	DET
ecletica-1009	83	13	number	number	NOUN
ecletica-1009	83	14	of	of	ADP
ecletica-1009	83	15	neurons	neuron	NOUN
ecletica-1009	83	16	from	from	ADP
ecletica-1009	83	17	10	10	NUM
ecletica-1009	83	18	to	to	PART
ecletica-1009	83	19	20	20	NUM
ecletica-1009	83	20	)	)	PUNCT
ecletica-1009	83	21	and	and	CCONJ
ecletica-1009	83	22	with	with	ADP
ecletica-1009	83	23	two	two	NUM
ecletica-1009	83	24	intermediate	intermediate	ADJ
ecletica-1009	83	25	layers	layer	NOUN
ecletica-1009	83	26	(	(	PUNCT
ecletica-1009	83	27	with	with	ADP
ecletica-1009	83	28	8	8	NUM
ecletica-1009	83	29	and	and	CCONJ
ecletica-1009	83	30	4	4	NUM
ecletica-1009	83	31	neurons	neuron	NOUN
ecletica-1009	83	32	in	in	ADP
ecletica-1009	83	33	each	each	DET
ecletica-1009	83	34	layer	layer	NOUN
ecletica-1009	83	35	,	,	PUNCT
ecletica-1009	83	36	respectively	respectively	ADV
ecletica-1009	83	37	)	)	PUNCT
ecletica-1009	83	38	.	.	PUNCT
ecletica-1009	84	1	the	the	DET
ecletica-1009	84	2	ann	ann	PROPN
ecletica-1009	84	3	that	that	PRON
ecletica-1009	84	4	obtained	obtain	VERB
ecletica-1009	84	5	the	the	DET
ecletica-1009	84	6	best	good	ADJ
ecletica-1009	84	7	result	result	NOUN
ecletica-1009	84	8	had	have	VERB
ecletica-1009	84	9	only	only	ADV
ecletica-1009	84	10	one	one	NUM
ecletica-1009	84	11	intermediate	intermediate	ADJ
ecletica-1009	84	12	layer	layer	NOUN
ecletica-1009	84	13	with	with	ADP
ecletica-1009	84	14	15	15	NUM
ecletica-1009	84	15	neurons	neuron	NOUN
ecletica-1009	84	16	,	,	PUNCT
ecletica-1009	84	17	and	and	CCONJ
ecletica-1009	84	18	its	its	PRON
ecletica-1009	84	19	performance	performance	NOUN
ecletica-1009	84	20	was	be	AUX
ecletica-1009	84	21	below	below	ADP
ecletica-1009	84	22	10	10	NUM
ecletica-1009	84	23	-	-	SYM
ecletica-1009	84	24	3	3	NUM
ecletica-1009	84	25	for	for	ADP
ecletica-1009	84	26	the	the	DET
ecletica-1009	84	27	mean	mean	ADJ
ecletica-1009	84	28	square	square	ADJ
ecletica-1009	84	29	error	error	NOUN
ecletica-1009	84	30	obtained	obtain	VERB
ecletica-1009	84	31	after	after	ADP
ecletica-1009	84	32	1500	1500	NUM
ecletica-1009	84	33	epochs	epoch	NOUN
ecletica-1009	84	34	,	,	PUNCT
ecletica-1009	84	35	as	as	SCONJ
ecletica-1009	84	36	shown	show	VERB
ecletica-1009	84	37	in	in	ADP
ecletica-1009	84	38	fig	fig	NOUN
ecletica-1009	84	39	.	.	PUNCT
ecletica-1009	85	1	3	3	X
ecletica-1009	85	2	.	.	X
ecletica-1009	85	3	the	the	DET
ecletica-1009	85	4	training	training	NOUN
ecletica-1009	85	5	was	be	AUX
ecletica-1009	85	6	interrupted	interrupt	VERB
ecletica-1009	85	7	in	in	ADP
ecletica-1009	85	8	1500	1500	NUM
ecletica-1009	85	9	epochs	epoch	NOUN
ecletica-1009	85	10	to	to	PART
ecletica-1009	85	11	avoid	avoid	VERB
ecletica-1009	85	12	excessive	excessive	ADJ
ecletica-1009	85	13	adjustment	adjustment	NOUN
ecletica-1009	85	14	by	by	ADP
ecletica-1009	85	15	ann	ann	PROPN
ecletica-1009	85	16	,	,	PUNCT
ecletica-1009	85	17	which	which	PRON
ecletica-1009	85	18	could	could	AUX
ecletica-1009	85	19	lead	lead	VERB
ecletica-1009	85	20	to	to	ADP
ecletica-1009	85	21	an	an	DET
ecletica-1009	85	22	overfitting	overfitting	NOUN
ecletica-1009	85	23	.	.	PUNCT
ecletica-1009	86	1	the	the	DET
ecletica-1009	86	2	activation	activation	NOUN
ecletica-1009	86	3	functions	function	NOUN
ecletica-1009	86	4	were	be	AUX
ecletica-1009	86	5	a	a	DET
ecletica-1009	86	6	hyperbolic	hyperbolic	ADJ
ecletica-1009	86	7	tangent	tangent	NOUN
ecletica-1009	86	8	function	function	NOUN
ecletica-1009	86	9	in	in	ADP
ecletica-1009	86	10	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	NOUN
ecletica-1009	86	11	original	original	ADJ
ecletica-1009	86	12	article	article	NOUN
ecletica-1009	86	13	15	15	NUM
ecletica-1009	86	14	eclética	eclética	PROPN
ecletica-1009	86	15	química	química	PROPN
ecletica-1009	86	16	journal	journal	PROPN
ecletica-1009	86	17	,	,	PUNCT
ecletica-1009	86	18	vol	vol	NOUN
ecletica-1009	86	19	.	.	PROPN
ecletica-1009	86	20	45	45	NUM
ecletica-1009	86	21	,	,	PUNCT
ecletica-1009	86	22	n.	n.	NOUN
ecletica-1009	86	23	1	1	NUM
ecletica-1009	86	24	,	,	PUNCT
ecletica-1009	86	25	2020	2020	NUM
ecletica-1009	86	26	,	,	PUNCT
ecletica-1009	86	27	11	11	NUM
ecletica-1009	86	28	-	-	SYM
ecletica-1009	86	29	17	17	NUM
ecletica-1009	86	30	issn	issn	NOUN
ecletica-1009	86	31	:	:	PUNCT
ecletica-1009	86	32	1678	1678	NUM
ecletica-1009	86	33	-	-	SYM
ecletica-1009	86	34	4618	4618	NUM
ecletica-1009	86	35	doi	doi	NOUN
ecletica-1009	86	36	:	:	PUNCT
ecletica-1009	86	37	10.26850/1678	10.26850/1678	NUM
ecletica-1009	86	38	-	-	PUNCT
ecletica-1009	86	39	4618eqj.v45.1.2020.p11	4618eqj.v45.1.2020.p11	NOUN
ecletica-1009	86	40	-	-	PUNCT
ecletica-1009	86	41	17	17	NUM
ecletica-1009	86	42	the	the	DET
ecletica-1009	86	43	intermediate	intermediate	ADJ
ecletica-1009	86	44	layer	layer	NOUN
ecletica-1009	86	45	and	and	CCONJ
ecletica-1009	86	46	a	a	DET
ecletica-1009	86	47	linear	linear	ADJ
ecletica-1009	86	48	function	function	NOUN
ecletica-1009	86	49	in	in	ADP
ecletica-1009	86	50	the	the	DET
ecletica-1009	86	51	output	output	NOUN
ecletica-1009	86	52	layer	layer	NOUN
ecletica-1009	86	53	.	.	PUNCT
ecletica-1009	87	1	figure	figure	NOUN
ecletica-1009	87	2	3	3	NUM
ecletica-1009	87	3	.	.	PUNCT
ecletica-1009	88	1	ann	ann	PROPN
ecletica-1009	88	2	performance	performance	NOUN
ecletica-1009	88	3	results	result	VERB
ecletica-1009	88	4	for	for	ADP
ecletica-1009	88	5	the	the	DET
ecletica-1009	88	6	training	training	NOUN
ecletica-1009	88	7	,	,	PUNCT
ecletica-1009	88	8	validation	validation	NOUN
ecletica-1009	88	9	and	and	CCONJ
ecletica-1009	88	10	test	test	NOUN
ecletica-1009	88	11	sets	set	NOUN
ecletica-1009	88	12	.	.	PUNCT
ecletica-1009	89	1	the	the	DET
ecletica-1009	89	2	green	green	ADJ
ecletica-1009	89	3	dotted	dotted	ADJ
ecletica-1009	89	4	line	line	NOUN
ecletica-1009	89	5	denoted	denote	VERB
ecletica-1009	89	6	as	as	ADP
ecletica-1009	89	7	“	"	PUNCT
ecletica-1009	89	8	best	good	ADJ
ecletica-1009	89	9	”	"	PUNCT
ecletica-1009	89	10	shows	show	VERB
ecletica-1009	89	11	the	the	DET
ecletica-1009	89	12	lowest	low	ADJ
ecletica-1009	89	13	value	value	NOUN
ecletica-1009	89	14	of	of	ADP
ecletica-1009	89	15	the	the	DET
ecletica-1009	89	16	mean	mean	ADJ
ecletica-1009	89	17	square	square	ADJ
ecletica-1009	89	18	error	error	NOUN
ecletica-1009	89	19	reached	reach	VERB
ecletica-1009	89	20	in	in	ADP
ecletica-1009	89	21	the	the	DET
ecletica-1009	89	22	ann	ann	PROPN
ecletica-1009	89	23	validation	validation	NOUN
ecletica-1009	89	24	in	in	ADP
ecletica-1009	89	25	1500	1500	NUM
ecletica-1009	89	26	epochs	epoch	NOUN
ecletica-1009	89	27	.	.	PUNCT
ecletica-1009	90	1	the	the	DET
ecletica-1009	90	2	highest	high	ADJ
ecletica-1009	90	3	efficiency	efficiency	NOUN
ecletica-1009	90	4	for	for	ADP
ecletica-1009	90	5	the	the	DET
ecletica-1009	90	6	four	four	NUM
ecletica-1009	90	7	types	type	NOUN
ecletica-1009	90	8	of	of	ADP
ecletica-1009	90	9	grains	grain	NOUN
ecletica-1009	90	10	together	together	ADV
ecletica-1009	90	11	had	have	VERB
ecletica-1009	90	12	a	a	DET
ecletica-1009	90	13	learning	learning	NOUN
ecletica-1009	90	14	rate	rate	NOUN
ecletica-1009	90	15	of	of	ADP
ecletica-1009	90	16	0.8	0.8	NUM
ecletica-1009	90	17	.	.	PUNCT
ecletica-1009	91	1	training	training	NOUN
ecletica-1009	91	2	was	be	AUX
ecletica-1009	91	3	also	also	ADV
ecletica-1009	91	4	performed	perform	VERB
ecletica-1009	91	5	with	with	ADP
ecletica-1009	91	6	higher	high	ADJ
ecletica-1009	91	7	and	and	CCONJ
ecletica-1009	91	8	lower	low	ADJ
ecletica-1009	91	9	learning	learning	NOUN
ecletica-1009	91	10	rates	rate	NOUN
ecletica-1009	91	11	,	,	PUNCT
ecletica-1009	91	12	but	but	CCONJ
ecletica-1009	91	13	the	the	DET
ecletica-1009	91	14	network	network	NOUN
ecletica-1009	91	15	became	become	VERB
ecletica-1009	91	16	unstable	unstable	ADJ
ecletica-1009	91	17	with	with	ADP
ecletica-1009	91	18	learning	learn	VERB
ecletica-1009	91	19	rates	rate	NOUN
ecletica-1009	91	20	below	below	ADP
ecletica-1009	91	21	0.3	0.3	NUM
ecletica-1009	91	22	,	,	PUNCT
ecletica-1009	91	23	meaning	mean	VERB
ecletica-1009	91	24	that	that	SCONJ
ecletica-1009	91	25	it	it	PRON
ecletica-1009	91	26	failed	fail	VERB
ecletica-1009	91	27	to	to	PART
ecletica-1009	91	28	provide	provide	VERB
ecletica-1009	91	29	good	good	ADJ
ecletica-1009	91	30	results	result	NOUN
ecletica-1009	91	31	for	for	ADP
ecletica-1009	91	32	the	the	DET
ecletica-1009	91	33	test	test	NOUN
ecletica-1009	91	34	samples	sample	NOUN
ecletica-1009	91	35	.	.	PUNCT
ecletica-1009	92	1	at	at	ADP
ecletica-1009	92	2	a	a	DET
ecletica-1009	92	3	learning	learning	NOUN
ecletica-1009	92	4	rate	rate	NOUN
ecletica-1009	92	5	of	of	ADP
ecletica-1009	92	6	0.8	0.8	NUM
ecletica-1009	92	7	,	,	PUNCT
ecletica-1009	92	8	the	the	DET
ecletica-1009	92	9	ann	ann	PROPN
ecletica-1009	92	10	was	be	AUX
ecletica-1009	92	11	stable	stable	ADJ
ecletica-1009	92	12	,	,	PUNCT
ecletica-1009	92	13	and	and	CCONJ
ecletica-1009	92	14	the	the	DET
ecletica-1009	92	15	training	training	NOUN
ecletica-1009	92	16	was	be	AUX
ecletica-1009	92	17	very	very	ADV
ecletica-1009	92	18	fast	fast	ADJ
ecletica-1009	92	19	(	(	PUNCT
ecletica-1009	92	20	close	close	ADJ
ecletica-1009	92	21	to	to	PART
ecletica-1009	92	22	1	1	NUM
ecletica-1009	92	23	min	min	NOUN
ecletica-1009	92	24	)	)	PUNCT
ecletica-1009	92	25	.	.	PUNCT
ecletica-1009	93	1	the	the	DET
ecletica-1009	93	2	training	training	NOUN
ecletica-1009	93	3	error	error	NOUN
ecletica-1009	93	4	was	be	AUX
ecletica-1009	93	5	small	small	ADJ
ecletica-1009	93	6	,	,	PUNCT
ecletica-1009	93	7	approximately	approximately	ADV
ecletica-1009	93	8	10	10	NUM
ecletica-1009	93	9	-	-	SYM
ecletica-1009	93	10	3	3	NUM
ecletica-1009	93	11	,	,	PUNCT
ecletica-1009	93	12	and	and	CCONJ
ecletica-1009	93	13	it	it	PRON
ecletica-1009	93	14	was	be	AUX
ecletica-1009	93	15	stable	stable	ADJ
ecletica-1009	93	16	throughout	throughout	ADP
ecletica-1009	93	17	the	the	DET
ecletica-1009	93	18	learning	learning	NOUN
ecletica-1009	93	19	process	process	NOUN
ecletica-1009	93	20	.	.	PUNCT
ecletica-1009	94	1	among	among	ADP
ecletica-1009	94	2	the	the	DET
ecletica-1009	94	3	four	four	NUM
ecletica-1009	94	4	types	type	NOUN
ecletica-1009	94	5	of	of	ADP
ecletica-1009	94	6	grains	grain	NOUN
ecletica-1009	94	7	used	use	VERB
ecletica-1009	94	8	in	in	ADP
ecletica-1009	94	9	this	this	DET
ecletica-1009	94	10	work	work	NOUN
ecletica-1009	94	11	,	,	PUNCT
ecletica-1009	94	12	the	the	DET
ecletica-1009	94	13	corn	corn	NOUN
ecletica-1009	94	14	grains	grain	NOUN
ecletica-1009	94	15	are	be	AUX
ecletica-1009	94	16	the	the	DET
ecletica-1009	94	17	least	least	ADJ
ecletica-1009	94	18	uniform	uniform	ADJ
ecletica-1009	94	19	,	,	PUNCT
ecletica-1009	94	20	that	that	ADV
ecletica-1009	94	21	is	is	ADV
ecletica-1009	94	22	,	,	PUNCT
ecletica-1009	94	23	they	they	PRON
ecletica-1009	94	24	present	present	VERB
ecletica-1009	94	25	the	the	DET
ecletica-1009	94	26	most	most	ADJ
ecletica-1009	94	27	variation	variation	NOUN
ecletica-1009	94	28	in	in	ADP
ecletica-1009	94	29	density	density	NOUN
ecletica-1009	94	30	(	(	PUNCT
ecletica-1009	94	31	between	between	ADP
ecletica-1009	94	32	0.68	0.68	NUM
ecletica-1009	94	33	e	e	NOUN
ecletica-1009	94	34	0.85	0.85	NUM
ecletica-1009	94	35	g	g	NOUN
ecletica-1009	94	36	cm-3	cm-3	NOUN
ecletica-1009	94	37	)	)	PUNCT
ecletica-1009	94	38	,	,	PUNCT
ecletica-1009	94	39	so	so	CCONJ
ecletica-1009	94	40	the	the	DET
ecletica-1009	94	41	estimated	estimate	VERB
ecletica-1009	94	42	values	value	NOUN
ecletica-1009	94	43	were	be	AUX
ecletica-1009	94	44	more	more	ADV
ecletica-1009	94	45	distributed	distribute	VERB
ecletica-1009	94	46	along	along	ADP
ecletica-1009	94	47	the	the	DET
ecletica-1009	94	48	linear	linear	ADJ
ecletica-1009	94	49	adjustment	adjustment	NOUN
ecletica-1009	94	50	,	,	PUNCT
ecletica-1009	94	51	as	as	SCONJ
ecletica-1009	94	52	shown	show	VERB
ecletica-1009	94	53	in	in	ADP
ecletica-1009	94	54	the	the	DET
ecletica-1009	94	55	fig	fig	NOUN
ecletica-1009	94	56	.	.	PUNCT
ecletica-1009	95	1	4	4	X
ecletica-1009	95	2	.	.	X
ecletica-1009	96	1	and	and	CCONJ
ecletica-1009	96	2	the	the	DET
ecletica-1009	96	3	values	value	NOUN
ecletica-1009	96	4	of	of	ADP
ecletica-1009	96	5	bean	bean	NOUN
ecletica-1009	96	6	grains	grain	NOUN
ecletica-1009	96	7	density	density	NOUN
ecletica-1009	96	8	(	(	PUNCT
ecletica-1009	96	9	0.75	0.75	NUM
ecletica-1009	96	10	-	-	SYM
ecletica-1009	96	11	0.78	0.78	NUM
ecletica-1009	96	12	g	g	NOUN
ecletica-1009	96	13	cm-3	cm-3	NOUN
ecletica-1009	96	14	)	)	PUNCT
ecletica-1009	96	15	are	be	AUX
ecletica-1009	96	16	within	within	ADP
ecletica-1009	96	17	the	the	DET
ecletica-1009	96	18	range	range	NOUN
ecletica-1009	96	19	of	of	ADP
ecletica-1009	96	20	corn	corn	NOUN
ecletica-1009	96	21	grains	grain	NOUN
ecletica-1009	96	22	density	density	NOUN
ecletica-1009	96	23	,	,	PUNCT
ecletica-1009	96	24	which	which	PRON
ecletica-1009	96	25	agrees	agree	VERB
ecletica-1009	96	26	with	with	ADP
ecletica-1009	96	27	the	the	DET
ecletica-1009	96	28	results	result	NOUN
ecletica-1009	96	29	obtained	obtain	VERB
ecletica-1009	96	30	for	for	ADP
ecletica-1009	96	31	these	these	DET
ecletica-1009	96	32	two	two	NUM
ecletica-1009	96	33	grains	grain	NOUN
ecletica-1009	96	34	.	.	PUNCT
ecletica-1009	97	1	on	on	ADP
ecletica-1009	97	2	the	the	DET
ecletica-1009	97	3	other	other	ADJ
ecletica-1009	97	4	hand	hand	NOUN
ecletica-1009	97	5	,	,	PUNCT
ecletica-1009	97	6	soybean	soybean	NOUN
ecletica-1009	97	7	and	and	CCONJ
ecletica-1009	97	8	chickpea	chickpea	NOUN
ecletica-1009	97	9	grains	grain	NOUN
ecletica-1009	97	10	are	be	AUX
ecletica-1009	97	11	more	more	ADV
ecletica-1009	97	12	uniform	uniform	ADJ
ecletica-1009	97	13	with	with	ADP
ecletica-1009	97	14	little	little	ADJ
ecletica-1009	97	15	variation	variation	NOUN
ecletica-1009	97	16	in	in	ADP
ecletica-1009	97	17	density	density	NOUN
ecletica-1009	97	18	.	.	PUNCT
ecletica-1009	98	1	the	the	DET
ecletica-1009	98	2	plots	plot	NOUN
ecletica-1009	98	3	in	in	ADP
ecletica-1009	98	4	fig	fig	NOUN
ecletica-1009	98	5	.	.	PUNCT
ecletica-1009	99	1	4	4	NUM
ecletica-1009	99	2	show	show	VERB
ecletica-1009	99	3	a	a	DET
ecletica-1009	99	4	high	high	ADJ
ecletica-1009	99	5	correlation	correlation	NOUN
ecletica-1009	99	6	of	of	ADP
ecletica-1009	99	7	0.94	0.94	NUM
ecletica-1009	99	8	between	between	ADP
ecletica-1009	99	9	the	the	DET
ecletica-1009	99	10	reference	reference	NOUN
ecletica-1009	99	11	bulk	bulk	NOUN
ecletica-1009	99	12	density	density	NOUN
ecletica-1009	99	13	values	value	NOUN
ecletica-1009	99	14	and	and	CCONJ
ecletica-1009	99	15	the	the	DET
ecletica-1009	99	16	values	value	NOUN
ecletica-1009	99	17	predicted	predict	VERB
ecletica-1009	99	18	by	by	ADP
ecletica-1009	99	19	the	the	DET
ecletica-1009	99	20	ann	ann	PROPN
ecletica-1009	99	21	model	model	NOUN
ecletica-1009	99	22	for	for	ADP
ecletica-1009	99	23	both	both	CCONJ
ecletica-1009	99	24	the	the	DET
ecletica-1009	99	25	training	training	NOUN
ecletica-1009	99	26	sets	set	NOUN
ecletica-1009	99	27	(	(	PUNCT
ecletica-1009	99	28	fig	fig	NOUN
ecletica-1009	99	29	.	.	PUNCT
ecletica-1009	99	30	4a	4a	NOUN
ecletica-1009	99	31	)	)	PUNCT
ecletica-1009	99	32	and	and	CCONJ
ecletica-1009	99	33	a	a	DET
ecletica-1009	99	34	correlation	correlation	NOUN
ecletica-1009	99	35	coefficient	coefficient	NOUN
ecletica-1009	99	36	of	of	ADP
ecletica-1009	99	37	0.98	0.98	NUM
ecletica-1009	99	38	for	for	ADP
ecletica-1009	99	39	the	the	DET
ecletica-1009	99	40	data	datum	NOUN
ecletica-1009	99	41	from	from	ADP
ecletica-1009	99	42	both	both	PRON
ecletica-1009	99	43	validation	validation	NOUN
ecletica-1009	99	44	and	and	CCONJ
ecletica-1009	99	45	test	test	NOUN
ecletica-1009	99	46	sets	set	NOUN
ecletica-1009	99	47	(	(	PUNCT
ecletica-1009	99	48	fig	fig	NOUN
ecletica-1009	99	49	.	.	PUNCT
ecletica-1009	100	1	4b	4b	PROPN
ecletica-1009	100	2	and	and	CCONJ
ecletica-1009	100	3	4c	4c	NOUN
ecletica-1009	100	4	)	)	PUNCT
ecletica-1009	100	5	.	.	PUNCT
ecletica-1009	101	1	the	the	DET
ecletica-1009	101	2	best	good	ADJ
ecletica-1009	101	3	fit	fit	ADJ
ecletica-1009	101	4	equations	equation	NOUN
ecletica-1009	101	5	for	for	ADP
ecletica-1009	101	6	the	the	DET
ecletica-1009	101	7	training	training	NOUN
ecletica-1009	101	8	,	,	PUNCT
ecletica-1009	101	9	validation	validation	NOUN
ecletica-1009	101	10	and	and	CCONJ
ecletica-1009	101	11	test	test	NOUN
ecletica-1009	101	12	data	datum	NOUN
ecletica-1009	101	13	are	be	AUX
ecletica-1009	101	14	𝑦	𝑦	X
ecletica-1009	101	15	=	=	SYM
ecletica-1009	101	16	0.86𝑥	0.86𝑥	PROPN
ecletica-1009	102	1	+	+	CCONJ
ecletica-1009	102	2	0.10	0.10	NUM
ecletica-1009	102	3	,	,	PUNCT
ecletica-1009	102	4	𝑦	𝑦	NOUN
ecletica-1009	102	5	=	=	SYM
ecletica-1009	102	6	0.92𝑥	0.92𝑥	NUM
ecletica-1009	102	7	+	+	NUM
ecletica-1009	102	8	0.057	0.057	NUM
ecletica-1009	102	9	,	,	PUNCT
ecletica-1009	102	10	and	and	CCONJ
ecletica-1009	102	11	𝑦	𝑦	NOUN
ecletica-1009	102	12	=	=	SYM
ecletica-1009	102	13	0.90𝑥	0.90𝑥	PROPN
ecletica-1009	102	14	+	+	NUM
ecletica-1009	102	15	0.069	0.069	NUM
ecletica-1009	102	16	,	,	PUNCT
ecletica-1009	102	17	respectively	respectively	ADV
ecletica-1009	102	18	.	.	PUNCT
ecletica-1009	103	1	the	the	DET
ecletica-1009	103	2	mean	mean	ADJ
ecletica-1009	103	3	relative	relative	ADJ
ecletica-1009	103	4	error	error	NOUN
ecletica-1009	103	5	was	be	AUX
ecletica-1009	103	6	2.1	2.1	NUM
ecletica-1009	103	7	,	,	PUNCT
ecletica-1009	103	8	1.5	1.5	NUM
ecletica-1009	103	9	and	and	CCONJ
ecletica-1009	103	10	1.4	1.4	NUM
ecletica-1009	103	11	%	%	NOUN
ecletica-1009	103	12	for	for	ADP
ecletica-1009	103	13	the	the	DET
ecletica-1009	103	14	training	training	NOUN
ecletica-1009	103	15	,	,	PUNCT
ecletica-1009	103	16	validation	validation	NOUN
ecletica-1009	103	17	and	and	CCONJ
ecletica-1009	103	18	test	test	NOUN
ecletica-1009	103	19	data	datum	NOUN
ecletica-1009	103	20	,	,	PUNCT
ecletica-1009	103	21	respectively	respectively	ADV
ecletica-1009	103	22	,	,	PUNCT
ecletica-1009	103	23	with	with	ADP
ecletica-1009	103	24	the	the	DET
ecletica-1009	103	25	lowest	low	ADJ
ecletica-1009	103	26	and	and	CCONJ
ecletica-1009	103	27	highest	high	ADJ
ecletica-1009	103	28	relative	relative	ADJ
ecletica-1009	103	29	errors	error	NOUN
ecletica-1009	103	30	of	of	ADP
ecletica-1009	103	31	the	the	DET
ecletica-1009	103	32	ann	ann	PROPN
ecletica-1009	103	33	responses	response	NOUN
ecletica-1009	103	34	for	for	ADP
ecletica-1009	103	35	the	the	DET
ecletica-1009	103	36	test	test	NOUN
ecletica-1009	103	37	set	set	VERB
ecletica-1009	103	38	samples	sample	NOUN
ecletica-1009	103	39	between	between	ADP
ecletica-1009	103	40	0.01	0.01	NUM
ecletica-1009	103	41	and	and	CCONJ
ecletica-1009	103	42	5.6	5.6	NUM
ecletica-1009	103	43	%	%	NOUN
ecletica-1009	103	44	,	,	PUNCT
ecletica-1009	103	45	which	which	PRON
ecletica-1009	103	46	is	be	AUX
ecletica-1009	103	47	a	a	DET
ecletica-1009	103	48	noteworthy	noteworthy	ADJ
ecletica-1009	103	49	result	result	NOUN
ecletica-1009	103	50	.	.	PUNCT
ecletica-1009	104	1	figure	figure	NOUN
ecletica-1009	104	2	4	4	NUM
ecletica-1009	104	3	.	.	PUNCT
ecletica-1009	104	4	predicted	predict	VERB
ecletica-1009	104	5	bulk	bulk	ADJ
ecletica-1009	104	6	densities	density	NOUN
ecletica-1009	104	7	(	(	PUNCT
ecletica-1009	104	8	g	g	NOUN
ecletica-1009	104	9	cm-3	cm-3	NOUN
ecletica-1009	104	10	)	)	PUNCT
ecletica-1009	104	11	obtained	obtain	VERB
ecletica-1009	104	12	by	by	ADP
ecletica-1009	104	13	the	the	DET
ecletica-1009	104	14	ann	ann	PROPN
ecletica-1009	104	15	model	model	NOUN
ecletica-1009	104	16	using	use	VERB
ecletica-1009	104	17	image	image	NOUN
ecletica-1009	104	18	color	color	NOUN
ecletica-1009	104	19	data	datum	NOUN
ecletica-1009	104	20	of	of	ADP
ecletica-1009	104	21	the	the	DET
ecletica-1009	104	22	grains	grain	NOUN
ecletica-1009	104	23	(	(	PUNCT
ecletica-1009	104	24	soybean	soybean	NOUN
ecletica-1009	104	25	,	,	PUNCT
ecletica-1009	104	26	bean	bean	NOUN
ecletica-1009	104	27	,	,	PUNCT
ecletica-1009	104	28	chickpea	chickpea	NOUN
ecletica-1009	104	29	and	and	CCONJ
ecletica-1009	104	30	corn	corn	NOUN
ecletica-1009	104	31	)	)	PUNCT
ecletica-1009	104	32	for	for	ADP
ecletica-1009	104	33	the	the	DET
ecletica-1009	104	34	training	training	NOUN
ecletica-1009	104	35	(	(	PUNCT
ecletica-1009	104	36	a	a	X
ecletica-1009	104	37	)	)	PUNCT
ecletica-1009	104	38	,	,	PUNCT
ecletica-1009	104	39	validation	validation	NOUN
ecletica-1009	104	40	(	(	PUNCT
ecletica-1009	104	41	b	b	NOUN
ecletica-1009	104	42	)	)	PUNCT
ecletica-1009	104	43	and	and	CCONJ
ecletica-1009	104	44	test	test	NOUN
ecletica-1009	104	45	(	(	PUNCT
ecletica-1009	104	46	c	c	NOUN
ecletica-1009	104	47	)	)	PUNCT
ecletica-1009	104	48	sets	set	NOUN
ecletica-1009	104	49	.	.	PUNCT
ecletica-1009	105	1	0	0	NUM
ecletica-1009	106	1	500	500	NUM
ecletica-1009	106	2	1000	1000	NUM
ecletica-1009	106	3	1500	1500	NUM
ecletica-1009	106	4	0.000	0.000	NUM
ecletica-1009	106	5	0.002	0.002	NUM
ecletica-1009	106	6	0.004	0.004	NUM
ecletica-1009	106	7	0.006	0.006	NUM
ecletica-1009	106	8	0.008	0.008	NUM
ecletica-1009	106	9	m	m	NOUN
ecletica-1009	106	10	e	e	NOUN
ecletica-1009	106	11	a	a	DET
ecletica-1009	106	12	n	n	NOUN
ecletica-1009	106	13	s	s	PART
ecletica-1009	106	14	q	q	X
ecletica-1009	106	15	u	u	NOUN
ecletica-1009	106	16	a	a	PRON
ecletica-1009	106	17	re	re	X
ecletica-1009	106	18	d	d	X
ecletica-1009	106	19	e	e	NOUN
ecletica-1009	106	20	rr	rr	NOUN
ecletica-1009	106	21	o	o	NOUN
ecletica-1009	106	22	r	r	NOUN
ecletica-1009	106	23	epochs	epoch	NOUN
ecletica-1009	106	24	training	train	VERB
ecletica-1009	106	25	validation	validation	NOUN
ecletica-1009	106	26	test	test	NOUN
ecletica-1009	106	27	best	good	ADJ
ecletica-1009	106	28	0.60	0.60	NUM
ecletica-1009	106	29	0.66	0.66	NUM
ecletica-1009	106	30	0.72	0.72	NUM
ecletica-1009	106	31	0.78	0.78	NUM
ecletica-1009	106	32	0.84	0.84	NUM
ecletica-1009	106	33	0.90	0.90	NUM
ecletica-1009	106	34	0.60	0.60	NUM
ecletica-1009	106	35	0.66	0.66	NUM
ecletica-1009	106	36	0.72	0.72	NUM
ecletica-1009	106	37	0.78	0.78	NUM
ecletica-1009	106	38	0.84	0.84	NUM
ecletica-1009	106	39	0.90	0.90	NUM
ecletica-1009	106	40	soybean	soybean	NOUN
ecletica-1009	106	41	bean	bean	NOUN
ecletica-1009	106	42	chickpea	chickpea	NOUN
ecletica-1009	106	43	corn	corn	NOUN
ecletica-1009	106	44	p	p	NOUN
ecletica-1009	106	45	re	re	PROPN
ecletica-1009	106	46	d	d	NOUN
ecletica-1009	106	47	ic	ic	X
ecletica-1009	106	48	te	te	PROPN
ecletica-1009	106	49	d	d	PROPN
ecletica-1009	106	50	v	v	PROPN
ecletica-1009	106	51	a	a	DET
ecletica-1009	106	52	lu	lu	NOUN
ecletica-1009	106	53	e	e	PROPN
ecletica-1009	106	54	b	b	PROPN
ecletica-1009	106	55	y	y	PROPN
ecletica-1009	106	56	a	a	PROPN
ecletica-1009	106	57	n	n	NOUN
ecletica-1009	106	58	n	n	CCONJ
ecletica-1009	106	59	(	(	PUNCT
ecletica-1009	106	60	g	g	PROPN
ecletica-1009	106	61	c	c	NOUN
ecletica-1009	106	62	m	m	VERB
ecletica-1009	106	63	-3	-3	PUNCT
ecletica-1009	106	64	)	)	PUNCT
ecletica-1009	106	65	reference	reference	NOUN
ecletica-1009	106	66	value	value	NOUN
ecletica-1009	106	67	(	(	PUNCT
ecletica-1009	106	68	g	g	NOUN
ecletica-1009	106	69	cm	cm	PROPN
ecletica-1009	106	70	-3	-3	PUNCT
ecletica-1009	106	71	)	)	PUNCT
ecletica-1009	107	1	a	a	DET
ecletica-1009	107	2	y	y	NOUN
ecletica-1009	107	3	=	=	SYM
ecletica-1009	107	4	0.86x	0.86x	PROPN
ecletica-1009	107	5	+	+	CCONJ
ecletica-1009	107	6	0.10	0.10	NUM
ecletica-1009	107	7	r	r	NOUN
ecletica-1009	107	8	=	=	SYM
ecletica-1009	107	9	0.94	0.94	NUM
ecletica-1009	107	10	reference	reference	NOUN
ecletica-1009	107	11	value	value	NOUN
ecletica-1009	107	12	/	/	SYM
ecletica-1009	107	13	g	g	NOUN
ecletica-1009	107	14	cm-3	cm-3	NOUN
ecletica-1009	107	15	p	p	X
ecletica-1009	107	16	re	re	ADP
ecletica-1009	107	17	d	d	NOUN
ecletica-1009	107	18	ic	ic	X
ecletica-1009	107	19	te	te	PROPN
ecletica-1009	107	20	d	d	PROPN
ecletica-1009	107	21	v	v	PROPN
ecletica-1009	107	22	a	a	DET
ecletica-1009	107	23	lu	lu	NOUN
ecletica-1009	107	24	e	e	PROPN
ecletica-1009	107	25	b	b	PROPN
ecletica-1009	107	26	y	y	PROPN
ecletica-1009	107	27	a	a	PROPN
ecletica-1009	107	28	n	n	NOUN
ecletica-1009	107	29	n	n	PROPN
ecletica-1009	107	30	/g	/g	PUNCT
ecletica-1009	107	31	c	c	X
ecletica-1009	107	32	m	m	VERB
ecletica-1009	107	33	-3	-3	NOUN
ecletica-1009	107	34	0.60	0.60	NUM
ecletica-1009	107	35	0.66	0.66	NUM
ecletica-1009	107	36	0.72	0.72	NUM
ecletica-1009	107	37	0.78	0.78	NUM
ecletica-1009	107	38	0.84	0.84	NUM
ecletica-1009	107	39	0.90	0.90	NUM
ecletica-1009	107	40	0.60	0.60	NUM
ecletica-1009	107	41	0.66	0.66	NUM
ecletica-1009	107	42	0.72	0.72	NUM
ecletica-1009	107	43	0.78	0.78	NUM
ecletica-1009	107	44	0.84	0.84	NUM
ecletica-1009	107	45	0.90	0.90	NUM
ecletica-1009	107	46	soybean	soybean	NOUN
ecletica-1009	107	47	bean	bean	NOUN
ecletica-1009	107	48	chickpea	chickpea	NOUN
ecletica-1009	107	49	corn	corn	NOUN
ecletica-1009	107	50	p	p	NOUN
ecletica-1009	107	51	re	re	PROPN
ecletica-1009	107	52	d	d	NOUN
ecletica-1009	107	53	ic	ic	X
ecletica-1009	107	54	te	te	PROPN
ecletica-1009	107	55	d	d	PROPN
ecletica-1009	107	56	v	v	PROPN
ecletica-1009	107	57	a	a	DET
ecletica-1009	107	58	lu	lu	NOUN
ecletica-1009	107	59	e	e	PROPN
ecletica-1009	107	60	b	b	PROPN
ecletica-1009	107	61	y	y	PROPN
ecletica-1009	107	62	a	a	PROPN
ecletica-1009	107	63	n	n	NOUN
ecletica-1009	107	64	n	n	CCONJ
ecletica-1009	107	65	(	(	PUNCT
ecletica-1009	107	66	g	g	PROPN
ecletica-1009	107	67	c	c	NOUN
ecletica-1009	107	68	m	m	VERB
ecletica-1009	107	69	-3	-3	PUNCT
ecletica-1009	107	70	)	)	PUNCT
ecletica-1009	107	71	reference	reference	NOUN
ecletica-1009	107	72	value	value	NOUN
ecletica-1009	107	73	(	(	PUNCT
ecletica-1009	107	74	g	g	NOUN
ecletica-1009	107	75	cm	cm	PROPN
ecletica-1009	107	76	-3	-3	PUNCT
ecletica-1009	107	77	)	)	PUNCT
ecletica-1009	108	1	b	b	X
ecletica-1009	108	2	y	y	NOUN
ecletica-1009	108	3	=	=	SYM
ecletica-1009	108	4	0.92x	0.92x	PROPN
ecletica-1009	108	5	+	+	NUM
ecletica-1009	108	6	0.057	0.057	NUM
ecletica-1009	108	7	r	r	NOUN
ecletica-1009	108	8	=	=	SYM
ecletica-1009	108	9	0.98	0.98	NUM
ecletica-1009	108	10	reference	reference	NOUN
ecletica-1009	108	11	value	value	NOUN
ecletica-1009	108	12	/	/	SYM
ecletica-1009	108	13	g	g	NOUN
ecletica-1009	108	14	cm-3	cm-3	NOUN
ecletica-1009	108	15	p	p	X
ecletica-1009	108	16	re	re	ADP
ecletica-1009	108	17	d	d	NOUN
ecletica-1009	108	18	ic	ic	X
ecletica-1009	108	19	te	te	PROPN
ecletica-1009	108	20	d	d	PROPN
ecletica-1009	108	21	v	v	PROPN
ecletica-1009	108	22	a	a	DET
ecletica-1009	108	23	lu	lu	NOUN
ecletica-1009	108	24	e	e	PROPN
ecletica-1009	108	25	b	b	PROPN
ecletica-1009	108	26	y	y	PROPN
ecletica-1009	108	27	a	a	PROPN
ecletica-1009	108	28	n	n	NOUN
ecletica-1009	108	29	n	n	PROPN
ecletica-1009	108	30	/g	/g	PUNCT
ecletica-1009	108	31	c	c	X
ecletica-1009	108	32	m	m	VERB
ecletica-1009	108	33	-3	-3	ADJ
ecletica-1009	108	34	y	y	NOUN
ecletica-1009	108	35	=	=	PUNCT
ecletica-1009	108	36	0.90x	0.90x	PROPN
ecletica-1009	108	37	+	+	CCONJ
ecletica-1009	108	38	0.069	0.069	NUM
ecletica-1009	108	39	r	r	NOUN
ecletica-1009	108	40	=	=	PUNCT
ecletica-1009	108	41	0.98	0.98	NUM
ecletica-1009	108	42	c	c	NOUN
ecletica-1009	108	43	0.60	0.60	NUM
ecletica-1009	108	44	0.66	0.66	NUM
ecletica-1009	108	45	0.72	0.72	NUM
ecletica-1009	108	46	0.78	0.78	NUM
ecletica-1009	108	47	0.84	0.84	NUM
ecletica-1009	108	48	0.90	0.90	NUM
ecletica-1009	108	49	0.60	0.60	NUM
ecletica-1009	108	50	0.66	0.66	NUM
ecletica-1009	108	51	0.72	0.72	NUM
ecletica-1009	108	52	0.78	0.78	NUM
ecletica-1009	108	53	0.84	0.84	NUM
ecletica-1009	108	54	0.90	0.90	NUM
ecletica-1009	108	55	soybean	soybean	NOUN
ecletica-1009	108	56	bean	bean	NOUN
ecletica-1009	108	57	chickpea	chickpea	NOUN
ecletica-1009	108	58	corn	corn	NOUN
ecletica-1009	108	59	p	p	NOUN
ecletica-1009	108	60	re	re	PROPN
ecletica-1009	108	61	d	d	NOUN
ecletica-1009	108	62	ic	ic	X
ecletica-1009	108	63	te	te	PROPN
ecletica-1009	108	64	d	d	PROPN
ecletica-1009	108	65	v	v	PROPN
ecletica-1009	108	66	a	a	DET
ecletica-1009	108	67	lu	lu	NOUN
ecletica-1009	108	68	e	e	PROPN
ecletica-1009	108	69	b	b	PROPN
ecletica-1009	108	70	y	y	PROPN
ecletica-1009	108	71	a	a	PROPN
ecletica-1009	108	72	n	n	NOUN
ecletica-1009	108	73	n	n	CCONJ
ecletica-1009	108	74	(	(	PUNCT
ecletica-1009	108	75	g	g	PROPN
ecletica-1009	108	76	c	c	NOUN
ecletica-1009	108	77	m	m	VERB
ecletica-1009	108	78	-3	-3	PUNCT
ecletica-1009	108	79	)	)	PUNCT
ecletica-1009	108	80	reference	reference	NOUN
ecletica-1009	108	81	value	value	NOUN
ecletica-1009	108	82	(	(	PUNCT
ecletica-1009	108	83	g	g	NOUN
ecletica-1009	108	84	cm	cm	PROPN
ecletica-1009	108	85	-3	-3	PUNCT
ecletica-1009	108	86	)	)	PUNCT
ecletica-1009	108	87	reference	reference	NOUN
ecletica-1009	108	88	value	value	NOUN
ecletica-1009	108	89	/	/	SYM
ecletica-1009	108	90	g	g	NOUN
ecletica-1009	108	91	cm-3	cm-3	NOUN
ecletica-1009	108	92	p	p	X
ecletica-1009	109	1	re	re	ADP
ecletica-1009	109	2	d	d	NOUN
ecletica-1009	109	3	ic	ic	X
ecletica-1009	109	4	te	te	PROPN
ecletica-1009	109	5	d	d	PROPN
ecletica-1009	109	6	v	v	PROPN
ecletica-1009	109	7	a	a	DET
ecletica-1009	109	8	lu	lu	NOUN
ecletica-1009	109	9	e	e	PROPN
ecletica-1009	109	10	b	b	PROPN
ecletica-1009	109	11	y	y	PROPN
ecletica-1009	109	12	a	a	PROPN
ecletica-1009	109	13	n	n	NOUN
ecletica-1009	109	14	n	n	PROPN
ecletica-1009	109	15	/g	/g	PUNCT
ecletica-1009	109	16	c	c	X
ecletica-1009	109	17	m	m	VERB
ecletica-1009	109	18	-3	-3	ADJ
ecletica-1009	109	19	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	NOUN
ecletica-1009	109	20	original	original	ADJ
ecletica-1009	109	21	article	article	NOUN
ecletica-1009	109	22	16	16	NUM
ecletica-1009	109	23	eclética	eclética	PROPN
ecletica-1009	109	24	química	química	PROPN
ecletica-1009	109	25	journal	journal	PROPN
ecletica-1009	109	26	,	,	PUNCT
ecletica-1009	109	27	vol	vol	NOUN
ecletica-1009	109	28	.	.	PROPN
ecletica-1009	109	29	45	45	NUM
ecletica-1009	109	30	,	,	PUNCT
ecletica-1009	109	31	n.	n.	NOUN
ecletica-1009	109	32	1	1	NUM
ecletica-1009	109	33	,	,	PUNCT
ecletica-1009	109	34	2020	2020	NUM
ecletica-1009	109	35	,	,	PUNCT
ecletica-1009	109	36	11	11	NUM
ecletica-1009	109	37	-	-	SYM
ecletica-1009	109	38	17	17	NUM
ecletica-1009	109	39	issn	issn	NOUN
ecletica-1009	109	40	:	:	PUNCT
ecletica-1009	109	41	1678	1678	NUM
ecletica-1009	109	42	-	-	SYM
ecletica-1009	109	43	4618	4618	NUM
ecletica-1009	109	44	doi	doi	NOUN
ecletica-1009	109	45	:	:	PUNCT
ecletica-1009	109	46	10.26850/1678	10.26850/1678	NUM
ecletica-1009	109	47	-	-	PUNCT
ecletica-1009	109	48	4618eqj.v45.1.2020.p11	4618eqj.v45.1.2020.p11	NOUN
ecletica-1009	109	49	-	-	PUNCT
ecletica-1009	109	50	17	17	NUM
ecletica-1009	109	51	the	the	DET
ecletica-1009	109	52	accuracy	accuracy	NOUN
ecletica-1009	109	53	of	of	ADP
ecletica-1009	109	54	the	the	DET
ecletica-1009	109	55	results	result	NOUN
ecletica-1009	109	56	is	be	AUX
ecletica-1009	109	57	shown	show	VERB
ecletica-1009	109	58	by	by	ADP
ecletica-1009	109	59	the	the	DET
ecletica-1009	109	60	plots	plot	NOUN
ecletica-1009	109	61	in	in	ADP
ecletica-1009	109	62	fig	fig	NOUN
ecletica-1009	109	63	.	.	PUNCT
ecletica-1009	110	1	5	5	NUM
ecletica-1009	110	2	,	,	PUNCT
ecletica-1009	110	3	giving	give	VERB
ecletica-1009	110	4	the	the	DET
ecletica-1009	110	5	equations	equation	NOUN
ecletica-1009	110	6	𝑦	𝑦	NOUN
ecletica-1009	110	7	=	=	SYM
ecletica-1009	110	8	0.90𝑥	0.90𝑥	PROPN
ecletica-1009	110	9	+	+	CCONJ
ecletica-1009	110	10	0.10	0.10	NUM
ecletica-1009	110	11	and	and	CCONJ
ecletica-1009	110	12	𝑦	𝑦	NOUN
ecletica-1009	110	13	=	=	SYM
ecletica-1009	110	14	0.90𝑥	0.90𝑥	PROPN
ecletica-1009	110	15	+	+	NUM
ecletica-1009	110	16	0.036	0.036	NUM
ecletica-1009	110	17	,	,	PUNCT
ecletica-1009	110	18	which	which	PRON
ecletica-1009	110	19	envelop	envelop	VERB
ecletica-1009	110	20	the	the	DET
ecletica-1009	110	21	results	result	NOUN
ecletica-1009	110	22	obtained	obtain	VERB
ecletica-1009	110	23	by	by	ADP
ecletica-1009	110	24	the	the	DET
ecletica-1009	110	25	ann	ann	PROPN
ecletica-1009	110	26	calculations	calculation	NOUN
ecletica-1009	110	27	.	.	PUNCT
ecletica-1009	111	1	these	these	DET
ecletica-1009	111	2	equations	equation	NOUN
ecletica-1009	111	3	were	be	AUX
ecletica-1009	111	4	based	base	VERB
ecletica-1009	111	5	on	on	ADP
ecletica-1009	111	6	calculations	calculation	NOUN
ecletica-1009	111	7	involving	involve	VERB
ecletica-1009	111	8	the	the	DET
ecletica-1009	111	9	linear	linear	ADJ
ecletica-1009	111	10	regression	regression	NOUN
ecletica-1009	111	11	of	of	ADP
ecletica-1009	111	12	the	the	DET
ecletica-1009	111	13	test	test	NOUN
ecletica-1009	111	14	set	set	NOUN
ecletica-1009	111	15	(	(	PUNCT
ecletica-1009	111	16	fig	fig	NOUN
ecletica-1009	111	17	.	.	PUNCT
ecletica-1009	112	1	4c	4c	NOUN
ecletica-1009	112	2	)	)	PUNCT
ecletica-1009	112	3	,	,	PUNCT
ecletica-1009	112	4	replacing	replace	VERB
ecletica-1009	112	5	the	the	DET
ecletica-1009	112	6	term	term	NOUN
ecletica-1009	112	7	𝑥	𝑥	NOUN
ecletica-1009	112	8	by	by	ADP
ecletica-1009	112	9	each	each	DET
ecletica-1009	112	10	reference	reference	NOUN
ecletica-1009	112	11	value	value	NOUN
ecletica-1009	112	12	and	and	CCONJ
ecletica-1009	112	13	summing	sum	VERB
ecletica-1009	112	14	the	the	DET
ecletica-1009	112	15	linear	linear	ADJ
ecletica-1009	112	16	coefficient	coefficient	NOUN
ecletica-1009	112	17	to	to	ADP
ecletica-1009	112	18	3	3	NUM
ecletica-1009	112	19	times	time	NOUN
ecletica-1009	112	20	the	the	DET
ecletica-1009	112	21	standard	standard	ADJ
ecletica-1009	112	22	deviation	deviation	NOUN
ecletica-1009	112	23	obtained	obtain	VERB
ecletica-1009	112	24	for	for	ADP
ecletica-1009	112	25	the	the	DET
ecletica-1009	112	26	absolute	absolute	ADJ
ecletica-1009	112	27	errors	error	NOUN
ecletica-1009	112	28	(	(	PUNCT
ecletica-1009	112	29	difference	difference	NOUN
ecletica-1009	112	30	between	between	ADP
ecletica-1009	112	31	the	the	DET
ecletica-1009	112	32	reference	reference	NOUN
ecletica-1009	112	33	values	value	NOUN
ecletica-1009	112	34	and	and	CCONJ
ecletica-1009	112	35	those	those	PRON
ecletica-1009	112	36	predicted	predict	VERB
ecletica-1009	112	37	by	by	ADP
ecletica-1009	112	38	the	the	DET
ecletica-1009	112	39	ann	ann	PROPN
ecletica-1009	112	40	)	)	PUNCT
ecletica-1009	112	41	of	of	ADP
ecletica-1009	112	42	the	the	DET
ecletica-1009	112	43	26	26	NUM
ecletica-1009	112	44	samples	sample	NOUN
ecletica-1009	112	45	.	.	PUNCT
ecletica-1009	113	1	thus	thus	ADV
ecletica-1009	113	2	,	,	PUNCT
ecletica-1009	113	3	for	for	ADP
ecletica-1009	113	4	a	a	DET
ecletica-1009	113	5	given	give	VERB
ecletica-1009	113	6	bulk	bulk	ADJ
ecletica-1009	113	7	density	density	NOUN
ecletica-1009	113	8	ρ	ρ	NOUN
ecletica-1009	113	9	,	,	PUNCT
ecletica-1009	113	10	the	the	DET
ecletica-1009	113	11	response	response	NOUN
ecletica-1009	113	12	of	of	ADP
ecletica-1009	113	13	the	the	DET
ecletica-1009	113	14	neural	neural	ADJ
ecletica-1009	113	15	network	network	NOUN
ecletica-1009	113	16	will	will	AUX
ecletica-1009	113	17	be	be	AUX
ecletica-1009	113	18	in	in	ADP
ecletica-1009	113	19	the	the	DET
ecletica-1009	113	20	interval	interval	NOUN
ecletica-1009	113	21	[	[	X
ecletica-1009	113	22	𝜌	𝜌	X
ecletica-1009	113	23	−	−	NOUN
ecletica-1009	113	24	0.03	0.03	NUM
ecletica-1009	113	25	,	,	PUNCT
ecletica-1009	113	26	𝜌	𝜌	X
ecletica-1009	113	27	+	+	NOUN
ecletica-1009	113	28	0.03	0.03	NUM
ecletica-1009	113	29	]	]	PUNCT
ecletica-1009	113	30	,	,	PUNCT
ecletica-1009	113	31	where	where	SCONJ
ecletica-1009	113	32	[	[	X
ecletica-1009	113	33	𝜌	𝜌	ADP
ecletica-1009	113	34	−	−	NOUN
ecletica-1009	113	35	3𝜎𝑟	3𝜎𝑟	ADJ
ecletica-1009	113	36	,	,	PUNCT
ecletica-1009	113	37	𝜌	𝜌	X
ecletica-1009	113	38	+	+	X
ecletica-1009	113	39	3𝜎𝑟	3𝜎𝑟	ADJ
ecletica-1009	113	40	]	]	PUNCT
ecletica-1009	113	41	and	and	CCONJ
ecletica-1009	113	42	𝜎𝑟	𝜎𝑟	ADV
ecletica-1009	113	43	=	=	SYM
ecletica-1009	113	44	0.01	0.01	NUM
ecletica-1009	113	45	;	;	PUNCT
ecletica-1009	113	46	a	a	DET
ecletica-1009	113	47	range	range	NOUN
ecletica-1009	113	48	with	with	ADP
ecletica-1009	113	49	a	a	DET
ecletica-1009	113	50	very	very	ADV
ecletica-1009	113	51	small	small	ADJ
ecletica-1009	113	52	amplitude	amplitude	NOUN
ecletica-1009	113	53	indicates	indicate	VERB
ecletica-1009	113	54	high	high	ADJ
ecletica-1009	113	55	reliability	reliability	NOUN
ecletica-1009	113	56	in	in	ADP
ecletica-1009	113	57	the	the	DET
ecletica-1009	113	58	ann	ann	PROPN
ecletica-1009	113	59	response	response	NOUN
ecletica-1009	113	60	.	.	PUNCT
ecletica-1009	114	1	figure	figure	NOUN
ecletica-1009	114	2	5	5	NUM
ecletica-1009	114	3	.	.	PUNCT
ecletica-1009	114	4	bulk	bulk	ADJ
ecletica-1009	114	5	densities	density	NOUN
ecletica-1009	114	6	(	(	PUNCT
ecletica-1009	114	7	g	g	NOUN
ecletica-1009	114	8	cm-3	cm-3	NOUN
ecletica-1009	114	9	)	)	PUNCT
ecletica-1009	114	10	of	of	ADP
ecletica-1009	114	11	soybean	soybean	NOUN
ecletica-1009	114	12	,	,	PUNCT
ecletica-1009	114	13	bean	bean	NOUN
ecletica-1009	114	14	,	,	PUNCT
ecletica-1009	114	15	chickpea	chickpea	NOUN
ecletica-1009	114	16	and	and	CCONJ
ecletica-1009	114	17	corn	corn	NOUN
ecletica-1009	114	18	provided	provide	VERB
ecletica-1009	114	19	by	by	ADP
ecletica-1009	114	20	the	the	DET
ecletica-1009	114	21	ann	ann	PROPN
ecletica-1009	114	22	for	for	ADP
ecletica-1009	114	23	the	the	DET
ecletica-1009	114	24	test	test	NOUN
ecletica-1009	114	25	set	set	VERB
ecletica-1009	114	26	samples	sample	NOUN
ecletica-1009	114	27	.	.	PUNCT
ecletica-1009	115	1	4	4	X
ecletica-1009	115	2	.	.	X
ecletica-1009	115	3	conclusions	conclusion	NOUN
ecletica-1009	115	4	the	the	DET
ecletica-1009	115	5	bulk	bulk	ADJ
ecletica-1009	115	6	densities	density	NOUN
ecletica-1009	115	7	of	of	ADP
ecletica-1009	115	8	four	four	NUM
ecletica-1009	115	9	different	different	ADJ
ecletica-1009	115	10	dry	dry	ADJ
ecletica-1009	115	11	grains	grain	NOUN
ecletica-1009	115	12	were	be	AUX
ecletica-1009	115	13	accurately	accurately	ADV
ecletica-1009	115	14	estimated	estimate	VERB
ecletica-1009	115	15	using	use	VERB
ecletica-1009	115	16	the	the	DET
ecletica-1009	115	17	average	average	ADJ
ecletica-1009	115	18	values	value	NOUN
ecletica-1009	115	19	of	of	ADP
ecletica-1009	115	20	color	color	NOUN
ecletica-1009	115	21	descriptors	descriptor	NOUN
ecletica-1009	115	22	from	from	ADP
ecletica-1009	115	23	digital	digital	ADJ
ecletica-1009	115	24	images	image	NOUN
ecletica-1009	115	25	combined	combine	VERB
ecletica-1009	115	26	with	with	ADP
ecletica-1009	115	27	an	an	DET
ecletica-1009	115	28	ann	ann	PROPN
ecletica-1009	115	29	.	.	PUNCT
ecletica-1009	116	1	this	this	DET
ecletica-1009	116	2	method	method	NOUN
ecletica-1009	116	3	is	be	AUX
ecletica-1009	116	4	promising	promise	VERB
ecletica-1009	116	5	,	,	PUNCT
ecletica-1009	116	6	considering	consider	VERB
ecletica-1009	116	7	that	that	SCONJ
ecletica-1009	116	8	these	these	DET
ecletica-1009	116	9	grain	grain	NOUN
ecletica-1009	116	10	foods	food	NOUN
ecletica-1009	116	11	have	have	VERB
ecletica-1009	116	12	similar	similar	ADJ
ecletica-1009	116	13	colors	color	NOUN
ecletica-1009	116	14	and	and	CCONJ
ecletica-1009	116	15	different	different	ADJ
ecletica-1009	116	16	shapes	shape	NOUN
ecletica-1009	116	17	and	and	CCONJ
ecletica-1009	116	18	textures	texture	NOUN
ecletica-1009	116	19	.	.	PUNCT
ecletica-1009	117	1	the	the	DET
ecletica-1009	117	2	reference	reference	NOUN
ecletica-1009	117	3	values	value	NOUN
ecletica-1009	117	4	and	and	CCONJ
ecletica-1009	117	5	the	the	DET
ecletica-1009	117	6	values	value	NOUN
ecletica-1009	117	7	predicted	predict	VERB
ecletica-1009	117	8	by	by	ADP
ecletica-1009	117	9	the	the	DET
ecletica-1009	117	10	ann	ann	PROPN
ecletica-1009	117	11	model	model	NOUN
ecletica-1009	117	12	were	be	AUX
ecletica-1009	117	13	highly	highly	ADV
ecletica-1009	117	14	correlated	correlate	VERB
ecletica-1009	117	15	(	(	PUNCT
ecletica-1009	117	16	𝑟	𝑟	X
ecletica-1009	117	17	=	=	SYM
ecletica-1009	117	18	0.98	0.98	NUM
ecletica-1009	117	19	)	)	PUNCT
ecletica-1009	117	20	for	for	ADP
ecletica-1009	117	21	the	the	DET
ecletica-1009	117	22	test	test	NOUN
ecletica-1009	117	23	set	set	NOUN
ecletica-1009	117	24	,	,	PUNCT
ecletica-1009	117	25	with	with	ADP
ecletica-1009	117	26	low	low	ADJ
ecletica-1009	117	27	relative	relative	ADJ
ecletica-1009	117	28	errors	error	NOUN
ecletica-1009	117	29	between	between	ADP
ecletica-1009	117	30	0.01	0.01	NUM
ecletica-1009	117	31	and	and	CCONJ
ecletica-1009	117	32	5.6	5.6	NUM
ecletica-1009	117	33	%	%	NOUN
ecletica-1009	117	34	.	.	PUNCT
ecletica-1009	118	1	thus	thus	ADV
ecletica-1009	118	2	,	,	PUNCT
ecletica-1009	118	3	our	our	PRON
ecletica-1009	118	4	study	study	NOUN
ecletica-1009	118	5	showed	show	VERB
ecletica-1009	118	6	the	the	DET
ecletica-1009	118	7	possibility	possibility	NOUN
ecletica-1009	118	8	of	of	ADP
ecletica-1009	118	9	using	use	VERB
ecletica-1009	118	10	an	an	DET
ecletica-1009	118	11	ann	ann	NOUN
ecletica-1009	118	12	to	to	PART
ecletica-1009	118	13	provide	provide	VERB
ecletica-1009	118	14	accurate	accurate	ADJ
ecletica-1009	118	15	grain	grain	NOUN
ecletica-1009	118	16	quality	quality	NOUN
ecletica-1009	118	17	control	control	NOUN
ecletica-1009	118	18	parameters	parameter	NOUN
ecletica-1009	118	19	with	with	ADP
ecletica-1009	118	20	low	low	ADJ
ecletica-1009	118	21	computational	computational	ADJ
ecletica-1009	118	22	costs	cost	NOUN
ecletica-1009	118	23	.	.	PUNCT
ecletica-1009	119	1	5	5	X
ecletica-1009	119	2	.	.	X
ecletica-1009	119	3	acknowledgments	acknowledgment	NOUN
ecletica-1009	119	4	this	this	DET
ecletica-1009	119	5	work	work	NOUN
ecletica-1009	119	6	was	be	AUX
ecletica-1009	119	7	supported	support	VERB
ecletica-1009	119	8	by	by	ADP
ecletica-1009	119	9	the	the	DET
ecletica-1009	119	10	são	são	PROPN
ecletica-1009	119	11	paulo	paulo	PROPN
ecletica-1009	119	12	research	research	PROPN
ecletica-1009	119	13	foundation	foundation	PROPN
ecletica-1009	119	14	(	(	PUNCT
ecletica-1009	119	15	fapesp	fapesp	PROPN
ecletica-1009	119	16	)	)	PUNCT
ecletica-1009	119	17	(	(	PUNCT
ecletica-1009	119	18	grant	grant	VERB
ecletica-1009	119	19	numbers	number	NOUN
ecletica-1009	119	20	2015/20813	2015/20813	NUM
ecletica-1009	119	21	-	-	SYM
ecletica-1009	119	22	1	1	NUM
ecletica-1009	119	23	and	and	CCONJ
ecletica-1009	119	24	2016/00779	2016/00779	NUM
ecletica-1009	119	25	-	-	SYM
ecletica-1009	119	26	6	6	NUM
ecletica-1009	119	27	)	)	PUNCT
ecletica-1009	119	28	.	.	PUNCT
ecletica-1009	120	1	6	6	X
ecletica-1009	120	2	.	.	NUM
ecletica-1009	120	3	references	reference	NOUN
ecletica-1009	120	4	[	[	X
ecletica-1009	120	5	1	1	NUM
ecletica-1009	120	6	]	]	X
ecletica-1009	120	7	costa	costa	PROPN
ecletica-1009	120	8	,	,	PUNCT
ecletica-1009	120	9	g.	g.	PROPN
ecletica-1009	120	10	e.	e.	PROPN
ecletica-1009	120	11	a.	a.	PROPN
ecletica-1009	120	12	,	,	PUNCT
ecletica-1009	120	13	queiroz	queiroz	ADJ
ecletica-1009	120	14	-	-	PUNCT
ecletica-1009	120	15	monici	monici	NOUN
ecletica-1009	120	16	,	,	PUNCT
ecletica-1009	120	17	k.	k.	PROPN
ecletica-1009	120	18	s.	s.	PROPN
ecletica-1009	120	19	,	,	PUNCT
ecletica-1009	120	20	reis	reis	NOUN
ecletica-1009	120	21	,	,	PUNCT
ecletica-1009	120	22	s.	s.	PROPN
ecletica-1009	120	23	m.	m.	PROPN
ecletica-1009	120	24	p.	p.	PROPN
ecletica-1009	120	25	m.	m.	NOUN
ecletica-1009	120	26	,	,	PUNCT
ecletica-1009	120	27	oliveira	oliveira	PROPN
ecletica-1009	120	28	,	,	PUNCT
ecletica-1009	120	29	a.	a.	PROPN
ecletica-1009	120	30	c.	c.	PROPN
ecletica-1009	120	31	,	,	PUNCT
ecletica-1009	120	32	chemical	chemical	NOUN
ecletica-1009	120	33	composition	composition	NOUN
ecletica-1009	120	34	,	,	PUNCT
ecletica-1009	120	35	dietary	dietary	ADJ
ecletica-1009	120	36	fibre	fibre	NOUN
ecletica-1009	120	37	and	and	CCONJ
ecletica-1009	120	38	resistant	resistant	ADJ
ecletica-1009	120	39	starch	starch	NOUN
ecletica-1009	120	40	contents	content	NOUN
ecletica-1009	120	41	of	of	ADP
ecletica-1009	120	42	raw	raw	ADJ
ecletica-1009	120	43	and	and	CCONJ
ecletica-1009	120	44	cooked	cooked	ADJ
ecletica-1009	120	45	pea	pea	NOUN
ecletica-1009	120	46	,	,	PUNCT
ecletica-1009	120	47	common	common	ADJ
ecletica-1009	120	48	bean	bean	NOUN
ecletica-1009	120	49	,	,	PUNCT
ecletica-1009	120	50	chickpea	chickpea	NOUN
ecletica-1009	120	51	and	and	CCONJ
ecletica-1009	120	52	lentil	lentil	NOUN
ecletica-1009	120	53	legumes	legume	NOUN
ecletica-1009	120	54	,	,	PUNCT
ecletica-1009	120	55	food	food	NOUN
ecletica-1009	120	56	chemistry	chemistry	NOUN
ecletica-1009	120	57	94	94	NUM
ecletica-1009	120	58	(	(	PUNCT
ecletica-1009	120	59	3	3	NUM
ecletica-1009	120	60	)	)	PUNCT
ecletica-1009	120	61	(	(	PUNCT
ecletica-1009	120	62	2006	2006	NUM
ecletica-1009	120	63	)	)	PUNCT
ecletica-1009	120	64	327	327	NUM
ecletica-1009	120	65	-	-	SYM
ecletica-1009	120	66	330	330	NUM
ecletica-1009	120	67	.	.	PUNCT
ecletica-1009	120	68	https://doi.org/10.1016/j.foodchem.2004.11.020	https://doi.org/10.1016/j.foodchem.2004.11.020	NOUN
ecletica-1009	120	69	.	.	PUNCT
ecletica-1009	121	1	[	[	X
ecletica-1009	121	2	2	2	NUM
ecletica-1009	121	3	]	]	PUNCT
ecletica-1009	121	4	bhattacharya	bhattacharya	PROPN
ecletica-1009	121	5	,	,	PUNCT
ecletica-1009	121	6	k.	k.	PROPN
ecletica-1009	121	7	r.	r.	PROPN
ecletica-1009	121	8	,	,	PUNCT
ecletica-1009	121	9	rice	rice	NOUN
ecletica-1009	121	10	quality	quality	NOUN
ecletica-1009	121	11	,	,	PUNCT
ecletica-1009	121	12	a	a	DET
ecletica-1009	121	13	guide	guide	NOUN
ecletica-1009	121	14	to	to	ADP
ecletica-1009	121	15	rice	rice	NOUN
ecletica-1009	121	16	properties	property	NOUN
ecletica-1009	121	17	and	and	CCONJ
ecletica-1009	121	18	analysis	analysis	NOUN
ecletica-1009	121	19	.	.	PUNCT
ecletica-1009	122	1	woodhead	woodhead	PROPN
ecletica-1009	122	2	publishing	publishing	NOUN
ecletica-1009	122	3	series	series	NOUN
ecletica-1009	122	4	limited	limit	VERB
ecletica-1009	122	5	,	,	PUNCT
ecletica-1009	122	6	cambridge	cambridge	PROPN
ecletica-1009	122	7	,	,	PUNCT
ecletica-1009	122	8	2013	2013	NUM
ecletica-1009	122	9	.	.	PUNCT
ecletica-1009	123	1	[	[	X
ecletica-1009	123	2	3	3	NUM
ecletica-1009	123	3	]	]	X
ecletica-1009	123	4	haque	haque	PROPN
ecletica-1009	123	5	,	,	PUNCT
ecletica-1009	123	6	e.	e.	PROPN
ecletica-1009	123	7	,	,	PUNCT
ecletica-1009	123	8	estimating	estimate	VERB
ecletica-1009	123	9	bulk	bulk	ADJ
ecletica-1009	123	10	density	density	NOUN
ecletica-1009	123	11	of	of	ADP
ecletica-1009	123	12	compacted	compact	VERB
ecletica-1009	123	13	grains	grain	NOUN
ecletica-1009	123	14	in	in	ADP
ecletica-1009	123	15	storage	storage	NOUN
ecletica-1009	123	16	bins	bin	NOUN
ecletica-1009	123	17	and	and	CCONJ
ecletica-1009	123	18	modifications	modification	NOUN
ecletica-1009	123	19	of	of	ADP
ecletica-1009	123	20	janssen	janssen	PROPN
ecletica-1009	123	21	’s	’s	PART
ecletica-1009	123	22	load	load	NOUN
ecletica-1009	123	23	equations	equation	NOUN
ecletica-1009	123	24	as	as	SCONJ
ecletica-1009	123	25	affected	affect	VERB
ecletica-1009	123	26	by	by	ADP
ecletica-1009	123	27	bulk	bulk	ADJ
ecletica-1009	123	28	density	density	NOUN
ecletica-1009	123	29	,	,	PUNCT
ecletica-1009	123	30	food	food	NOUN
ecletica-1009	123	31	science	science	NOUN
ecletica-1009	123	32	&	&	CCONJ
ecletica-1009	123	33	nutrition	nutrition	PROPN
ecletica-1009	123	34	1	1	NUM
ecletica-1009	123	35	(	(	PUNCT
ecletica-1009	123	36	2	2	NUM
ecletica-1009	123	37	)	)	PUNCT
ecletica-1009	123	38	(	(	PUNCT
ecletica-1009	123	39	2013	2013	NUM
ecletica-1009	123	40	)	)	PUNCT
ecletica-1009	123	41	150	150	NUM
ecletica-1009	123	42	-	-	SYM
ecletica-1009	123	43	156	156	NUM
ecletica-1009	123	44	.	.	PUNCT
ecletica-1009	124	1	https://doi.org/10.1002/fsn3.23	https://doi.org/10.1002/fsn3.23	AUX
ecletica-1009	124	2	.	.	PUNCT
ecletica-1009	125	1	[	[	X
ecletica-1009	125	2	4	4	NUM
ecletica-1009	125	3	]	]	X
ecletica-1009	125	4	bart	bart	PROPN
ecletica-1009	125	5	-	-	PUNCT
ecletica-1009	125	6	plange	plange	PROPN
ecletica-1009	125	7	,	,	PUNCT
ecletica-1009	125	8	a.	a.	NOUN
ecletica-1009	125	9	,	,	PUNCT
ecletica-1009	125	10	baryeh	baryeh	PROPN
ecletica-1009	125	11	,	,	PUNCT
ecletica-1009	125	12	e.	e.	PROPN
ecletica-1009	125	13	a.	a.	PROPN
ecletica-1009	125	14	,	,	PUNCT
ecletica-1009	125	15	the	the	DET
ecletica-1009	125	16	physical	physical	ADJ
ecletica-1009	125	17	properties	property	NOUN
ecletica-1009	125	18	of	of	ADP
ecletica-1009	125	19	category	category	NOUN
ecletica-1009	125	20	b	b	NOUN
ecletica-1009	125	21	cocoa	cocoa	NOUN
ecletica-1009	125	22	beans	bean	NOUN
ecletica-1009	125	23	,	,	PUNCT
ecletica-1009	125	24	journal	journal	NOUN
ecletica-1009	125	25	of	of	ADP
ecletica-1009	125	26	food	food	NOUN
ecletica-1009	125	27	engeneering	engeneere	VERB
ecletica-1009	125	28	60	60	NUM
ecletica-1009	125	29	(	(	PUNCT
ecletica-1009	125	30	3	3	NUM
ecletica-1009	125	31	)	)	PUNCT
ecletica-1009	125	32	(	(	PUNCT
ecletica-1009	125	33	2003	2003	NUM
ecletica-1009	125	34	)	)	PUNCT
ecletica-1009	125	35	219	219	NUM
ecletica-1009	125	36	-	-	SYM
ecletica-1009	125	37	227	227	NUM
ecletica-1009	125	38	.	.	PUNCT
ecletica-1009	125	39	https://doi.org/10.1016/s0260-8774(02)00452-1	https://doi.org/10.1016/s0260-8774(02)00452-1	NOUN
ecletica-1009	125	40	.	.	PUNCT
ecletica-1009	126	1	[	[	X
ecletica-1009	126	2	5	5	NUM
ecletica-1009	126	3	]	]	X
ecletica-1009	126	4	wong	wong	PROPN
ecletica-1009	126	5	,	,	PUNCT
ecletica-1009	126	6	j.	j.	PROPN
ecletica-1009	126	7	x.	x.	PROPN
ecletica-1009	126	8	h.	h.	PROPN
ecletica-1009	126	9	,	,	PUNCT
ecletica-1009	126	10	liu	liu	PROPN
ecletica-1009	126	11	,	,	PUNCT
ecletica-1009	126	12	f.	f.	PROPN
ecletica-1009	126	13	s.	s.	PROPN
ecletica-1009	126	14	f.	f.	PROPN
ecletica-1009	126	15	,	,	PUNCT
ecletica-1009	126	16	yu	yu	PROPN
ecletica-1009	126	17	,	,	PUNCT
ecletica-1009	126	18	h.	h.	PROPN
ecletica-1009	126	19	z.	z.	PROPN
ecletica-1009	126	20	,	,	PUNCT
ecletica-1009	126	21	mobile	mobile	ADJ
ecletica-1009	126	22	app	app	NOUN
ecletica-1009	126	23	-	-	PUNCT
ecletica-1009	126	24	based	base	VERB
ecletica-1009	126	25	quantitative	quantitative	ADJ
ecletica-1009	126	26	scanometric	scanometric	PROPN
ecletica-1009	126	27	analysis	analysis	NOUN
ecletica-1009	126	28	,	,	PUNCT
ecletica-1009	126	29	analytical	analytical	ADJ
ecletica-1009	126	30	chemistry	chemistry	NOUN
ecletica-1009	126	31	86	86	NUM
ecletica-1009	126	32	(	(	PUNCT
ecletica-1009	126	33	24	24	NUM
ecletica-1009	126	34	)	)	PUNCT
ecletica-1009	126	35	(	(	PUNCT
ecletica-1009	126	36	2014	2014	NUM
ecletica-1009	126	37	)	)	PUNCT
ecletica-1009	126	38	11966	11966	NUM
ecletica-1009	126	39	-	-	SYM
ecletica-1009	126	40	11971	11971	NUM
ecletica-1009	126	41	.	.	PUNCT
ecletica-1009	127	1	https://doi.org/10.1021/ac5035727	https://doi.org/10.1021/ac5035727	X
ecletica-1009	127	2	.	.	PUNCT
ecletica-1009	128	1	[	[	X
ecletica-1009	128	2	6	6	NUM
ecletica-1009	128	3	]	]	PUNCT
ecletica-1009	128	4	shouche	shouche	NOUN
ecletica-1009	128	5	,	,	PUNCT
ecletica-1009	128	6	s.	s.	PROPN
ecletica-1009	128	7	p.	p.	PROPN
ecletica-1009	128	8	,	,	PUNCT
ecletica-1009	128	9	rastogi	rastogi	PROPN
ecletica-1009	128	10	,	,	PUNCT
ecletica-1009	128	11	r.	r.	PROPN
ecletica-1009	128	12	,	,	PUNCT
ecletica-1009	128	13	bhagwat	bhagwat	PROPN
ecletica-1009	128	14	,	,	PUNCT
ecletica-1009	128	15	s.	s.	PROPN
ecletica-1009	128	16	g.	g.	PROPN
ecletica-1009	128	17	,	,	PUNCT
ecletica-1009	128	18	sainis	sainis	PROPN
ecletica-1009	128	19	,	,	PUNCT
ecletica-1009	128	20	j.	j.	PROPN
ecletica-1009	128	21	k.	k.	PROPN
ecletica-1009	128	22	,	,	PUNCT
ecletica-1009	128	23	shape	shape	VERB
ecletica-1009	128	24	analysis	analysis	NOUN
ecletica-1009	128	25	of	of	ADP
ecletica-1009	128	26	grains	grain	NOUN
ecletica-1009	128	27	of	of	ADP
ecletica-1009	128	28	indian	indian	ADJ
ecletica-1009	128	29	wheat	wheat	NOUN
ecletica-1009	128	30	varieties	variety	NOUN
ecletica-1009	128	31	,	,	PUNCT
ecletica-1009	128	32	computers	computer	NOUN
ecletica-1009	128	33	and	and	CCONJ
ecletica-1009	128	34	electronics	electronic	NOUN
ecletica-1009	128	35	in	in	ADP
ecletica-1009	128	36	agriculture	agriculture	NOUN
ecletica-1009	128	37	33	33	NUM
ecletica-1009	128	38	(	(	PUNCT
ecletica-1009	128	39	1	1	NUM
ecletica-1009	128	40	)	)	PUNCT
ecletica-1009	128	41	(	(	PUNCT
ecletica-1009	128	42	2001	2001	NUM
ecletica-1009	128	43	)	)	PUNCT
ecletica-1009	128	44	55	55	NUM
ecletica-1009	128	45	-	-	SYM
ecletica-1009	128	46	76	76	NUM
ecletica-1009	128	47	.	.	PUNCT
ecletica-1009	129	1	https://doi.org/10.1016/s01681699(01)00174-0	https://doi.org/10.1016/s01681699(01)00174-0	NOUN
ecletica-1009	129	2	.	.	PUNCT
ecletica-1009	130	1	[	[	X
ecletica-1009	130	2	7	7	NUM
ecletica-1009	130	3	]	]	X
ecletica-1009	130	4	chen	chen	PROPN
ecletica-1009	130	5	,	,	PUNCT
ecletica-1009	130	6	x.	x.	PROPN
ecletica-1009	130	7	,	,	PUNCT
ecletica-1009	130	8	xun	xun	PROPN
ecletica-1009	130	9	,	,	PUNCT
ecletica-1009	130	10	y.	y.	PROPN
ecletica-1009	130	11	,	,	PUNCT
ecletica-1009	130	12	li	li	PROPN
ecletica-1009	130	13	,	,	PUNCT
ecletica-1009	130	14	w.	w.	PROPN
ecletica-1009	130	15	,	,	PUNCT
ecletica-1009	130	16	zhang	zhang	PROPN
ecletica-1009	130	17	,	,	PUNCT
ecletica-1009	130	18	j.	j.	PROPN
ecletica-1009	130	19	,	,	PUNCT
ecletica-1009	130	20	combining	combine	VERB
ecletica-1009	130	21	discriminant	discriminant	ADJ
ecletica-1009	130	22	analysis	analysis	NOUN
ecletica-1009	130	23	and	and	CCONJ
ecletica-1009	130	24	neural	neural	ADJ
ecletica-1009	130	25	networks	network	NOUN
ecletica-1009	130	26	for	for	ADP
ecletica-1009	130	27	corn	corn	NOUN
ecletica-1009	130	28	variety	variety	NOUN
ecletica-1009	130	29	identification	identification	NOUN
ecletica-1009	130	30	,	,	PUNCT
ecletica-1009	130	31	computers	computer	NOUN
ecletica-1009	130	32	and	and	CCONJ
ecletica-1009	130	33	electronics	electronic	NOUN
ecletica-1009	130	34	in	in	ADP
ecletica-1009	130	35	agriculture	agriculture	NOUN
ecletica-1009	130	36	71	71	NUM
ecletica-1009	130	37	(	(	PUNCT
ecletica-1009	130	38	s1	s1	NOUN
ecletica-1009	130	39	)	)	PUNCT
ecletica-1009	130	40	(	(	PUNCT
ecletica-1009	130	41	2010	2010	NUM
ecletica-1009	130	42	)	)	PUNCT
ecletica-1009	130	43	s48	s48	NOUN
ecletica-1009	130	44	-	-	PUNCT
ecletica-1009	130	45	s53	s53	NOUN
ecletica-1009	130	46	.	.	PUNCT
ecletica-1009	131	1	https://doi.org/10.1016/j.compag.2009.09.003	https://doi.org/10.1016/j.compag.2009.09.003	PROPN
ecletica-1009	131	2	.	.	PUNCT
ecletica-1009	132	1	[	[	X
ecletica-1009	132	2	8	8	NUM
ecletica-1009	132	3	]	]	X
ecletica-1009	132	4	camargo	camargo	NOUN
ecletica-1009	132	5	,	,	PUNCT
ecletica-1009	132	6	v.	v.	PROPN
ecletica-1009	132	7	r.	r.	PROPN
ecletica-1009	132	8	,	,	PUNCT
ecletica-1009	132	9	santos	santos	PROPN
ecletica-1009	132	10	,	,	PUNCT
ecletica-1009	132	11	l.	l.	PROPN
ecletica-1009	132	12	j.	j.	PROPN
ecletica-1009	132	13	,	,	PUNCT
ecletica-1009	132	14	pereira	pereira	PROPN
ecletica-1009	132	15	,	,	PUNCT
ecletica-1009	132	16	f.	f.	PROPN
ecletica-1009	132	17	m.	m.	PROPN
ecletica-1009	133	1	v.	v.	PROPN
ecletica-1009	133	2	,	,	PUNCT
ecletica-1009	133	3	a	a	DET
ecletica-1009	133	4	proof	proof	NOUN
ecletica-1009	133	5	of	of	ADP
ecletica-1009	133	6	concept	concept	NOUN
ecletica-1009	133	7	study	study	NOUN
ecletica-1009	133	8	for	for	ADP
ecletica-1009	133	9	the	the	DET
ecletica-1009	133	10	parameters	parameter	NOUN
ecletica-1009	133	11	of	of	ADP
ecletica-1009	133	12	corn	corn	NOUN
ecletica-1009	133	13	grains	grain	NOUN
ecletica-1009	133	14	using	use	VERB
ecletica-1009	133	15	digital	digital	ADJ
ecletica-1009	133	16	images	image	NOUN
ecletica-1009	133	17	and	and	CCONJ
ecletica-1009	133	18	a	a	DET
ecletica-1009	133	19	multivariate	multivariate	NOUN
ecletica-1009	133	20	regression	regression	NOUN
ecletica-1009	133	21	model	model	NOUN
ecletica-1009	133	22	,	,	PUNCT
ecletica-1009	133	23	food	food	NOUN
ecletica-1009	133	24	analytical	analytical	ADJ
ecletica-1009	133	25	methods	method	NOUN
ecletica-1009	133	26	11	11	NUM
ecletica-1009	133	27	(	(	PUNCT
ecletica-1009	133	28	7	7	NUM
ecletica-1009	133	29	)	)	PUNCT
ecletica-1009	133	30	(	(	PUNCT
ecletica-1009	133	31	2018	2018	NUM
ecletica-1009	133	32	)	)	PUNCT
ecletica-1009	133	33	1852	1852	NUM
ecletica-1009	133	34	-	-	SYM
ecletica-1009	133	35	1856	1856	NUM
ecletica-1009	133	36	.	.	PUNCT
ecletica-1009	134	1	https://doi.org/10.1007/s12161017-1028-6	https://doi.org/10.1007/s12161017-1028-6	PROPN
ecletica-1009	134	2	.	.	PUNCT
ecletica-1009	135	1	y	y	NOUN
ecletica-1009	135	2	=	=	PUNCT
ecletica-1009	135	3	0.90x	0.90x	PROPN
ecletica-1009	135	4	+	+	CCONJ
ecletica-1009	135	5	0.10	0.10	NUM
ecletica-1009	135	6	y	y	NOUN
ecletica-1009	135	7	=	=	PUNCT
ecletica-1009	135	8	0.90x	0.90x	PROPN
ecletica-1009	135	9	+	+	CCONJ
ecletica-1009	135	10	0.036	0.036	NUM
ecletica-1009	135	11	0.60	0.60	NUM
ecletica-1009	135	12	0.66	0.66	NUM
ecletica-1009	135	13	0.72	0.72	NUM
ecletica-1009	135	14	0.78	0.78	NUM
ecletica-1009	135	15	0.84	0.84	NUM
ecletica-1009	135	16	0.90	0.90	NUM
ecletica-1009	135	17	0.60	0.60	NUM
ecletica-1009	135	18	0.66	0.66	NUM
ecletica-1009	135	19	0.72	0.72	NUM
ecletica-1009	135	20	0.78	0.78	NUM
ecletica-1009	135	21	0.84	0.84	NUM
ecletica-1009	135	22	0.90	0.90	NUM
ecletica-1009	135	23	test	test	NOUN
ecletica-1009	135	24	samples	sample	NOUN
ecletica-1009	135	25	p	p	NOUN
ecletica-1009	135	26	re	re	ADP
ecletica-1009	135	27	d	d	NOUN
ecletica-1009	135	28	ic	ic	X
ecletica-1009	135	29	te	te	PROPN
ecletica-1009	135	30	d	d	PROPN
ecletica-1009	135	31	v	v	PROPN
ecletica-1009	135	32	a	a	DET
ecletica-1009	135	33	lu	lu	NOUN
ecletica-1009	135	34	e	e	PROPN
ecletica-1009	135	35	b	b	PROPN
ecletica-1009	135	36	y	y	PROPN
ecletica-1009	135	37	a	a	PROPN
ecletica-1009	135	38	n	n	NOUN
ecletica-1009	135	39	n	n	CCONJ
ecletica-1009	135	40	(	(	PUNCT
ecletica-1009	135	41	g	g	PROPN
ecletica-1009	135	42	c	c	NOUN
ecletica-1009	135	43	m	m	VERB
ecletica-1009	135	44	-3	-3	PUNCT
ecletica-1009	135	45	)	)	PUNCT
ecletica-1009	135	46	reference	reference	NOUN
ecletica-1009	135	47	value	value	NOUN
ecletica-1009	135	48	(	(	PUNCT
ecletica-1009	135	49	g	g	NOUN
ecletica-1009	135	50	cm	cm	PROPN
ecletica-1009	135	51	-3	-3	PUNCT
ecletica-1009	135	52	)	)	PUNCT
ecletica-1009	135	53	reference	reference	NOUN
ecletica-1009	135	54	value	value	NOUN
ecletica-1009	135	55	/	/	SYM
ecletica-1009	135	56	g	g	NOUN
ecletica-1009	135	57	cm-3	cm-3	NOUN
ecletica-1009	135	58	p	p	X
ecletica-1009	136	1	re	re	ADP
ecletica-1009	136	2	d	d	NOUN
ecletica-1009	136	3	ic	ic	X
ecletica-1009	136	4	te	te	PROPN
ecletica-1009	136	5	d	d	PROPN
ecletica-1009	136	6	v	v	PROPN
ecletica-1009	136	7	a	a	DET
ecletica-1009	136	8	lu	lu	NOUN
ecletica-1009	136	9	e	e	PROPN
ecletica-1009	136	10	b	b	PROPN
ecletica-1009	136	11	y	y	PROPN
ecletica-1009	136	12	a	a	PROPN
ecletica-1009	136	13	n	n	NOUN
ecletica-1009	136	14	n	n	PROPN
ecletica-1009	136	15	/g	/g	PUNCT
ecletica-1009	136	16	c	c	X
ecletica-1009	136	17	m	m	VERB
ecletica-1009	136	18	-3	-3	NOUN
ecletica-1009	136	19	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	NOUN
ecletica-1009	136	20	https://doi.org/10.1016/j.foodchem.2004.11.020	https://doi.org/10.1016/j.foodchem.2004.11.020	VERB
ecletica-1009	136	21	https://doi.org/10.1016/j.foodchem.2004.11.020	https://doi.org/10.1016/j.foodchem.2004.11.020	VERB
ecletica-1009	136	22	https://doi.org/10.1016/j.foodchem.2004.11.020	https://doi.org/10.1016/j.foodchem.2004.11.020	NOUN
ecletica-1009	136	23	https://doi.org/10.1016/j.foodchem.2004.11.020	https://doi.org/10.1016/j.foodchem.2004.11.020	NOUN
ecletica-1009	136	24	https://doi.org/10.1016/j.foodchem.2004.11.020	https://doi.org/10.1016/j.foodchem.2004.11.020	NOUN
ecletica-1009	136	25	https://doi.org/10.1016/j.foodchem.2004.11.020	https://doi.org/10.1016/j.foodchem.2004.11.020	VERB
ecletica-1009	136	26	https://doi.org/10.1002/fsn3.23	https://doi.org/10.1002/fsn3.23	X
ecletica-1009	136	27	https://doi.org/10.1002/fsn3.23	https://doi.org/10.1002/fsn3.23	NOUN
ecletica-1009	136	28	https://doi.org/10.1002/fsn3.23	https://doi.org/10.1002/fsn3.23	NOUN
ecletica-1009	136	29	https://doi.org/10.1002/fsn3.23	https://doi.org/10.1002/fsn3.23	NOUN
ecletica-1009	136	30	https://doi.org/10.1002/fsn3.23	https://doi.org/10.1002/fsn3.23	PROPN
ecletica-1009	136	31	https://doi.org/10.1016/s0260-8774(02)00452-1	https://doi.org/10.1016/s0260-8774(02)00452-1	PROPN
ecletica-1009	136	32	https://doi.org/10.1016/s0260-8774(02)00452-1	https://doi.org/10.1016/s0260-8774(02)00452-1	PROPN
ecletica-1009	136	33	https://doi.org/10.1016/s0260-8774(02)00452-1	https://doi.org/10.1016/s0260-8774(02)00452-1	PROPN
ecletica-1009	136	34	https://doi.org/10.1016/s0260-8774(02)00452-1	https://doi.org/10.1016/s0260-8774(02)00452-1	PROPN
ecletica-1009	136	35	https://doi.org/10.1021/ac503572	https://doi.org/10.1021/ac503572	ADP
ecletica-1009	136	36	https://doi.org/10.1021/ac503572	https://doi.org/10.1021/ac503572	NOUN
ecletica-1009	137	1	https://doi.org/10.1021/ac503572	https://doi.org/10.1021/ac503572	NOUN
ecletica-1009	137	2	https://doi.org/10.1021/ac503572	https://doi.org/10.1021/ac503572	NOUN
ecletica-1009	137	3	https://doi.org/10.1016/s0168-1699(01)00174-0	https://doi.org/10.1016/s0168-1699(01)00174-0	NOUN
ecletica-1009	137	4	https://doi.org/10.1016/s0168-1699(01)00174-0	https://doi.org/10.1016/s0168-1699(01)00174-0	NOUN
ecletica-1009	137	5	https://doi.org/10.1016/s0168-1699(01)00174-0	https://doi.org/10.1016/s0168-1699(01)00174-0	PROPN
ecletica-1009	137	6	https://doi.org/10.1016/s0168-1699(01)00174-0	https://doi.org/10.1016/s0168-1699(01)00174-0	PROPN
ecletica-1009	137	7	https://doi.org/10.1016/s0168-1699(01)00174-0	https://doi.org/10.1016/s0168-1699(01)00174-0	PROPN
ecletica-1009	137	8	https://doi.org/10.1016/j.compag.2009.09.003	https://doi.org/10.1016/j.compag.2009.09.003	PROPN
ecletica-1009	137	9	https://doi.org/10.1016/j.compag.2009.09.003	https://doi.org/10.1016/j.compag.2009.09.003	PROPN
ecletica-1009	137	10	https://doi.org/10.1016/j.compag.2009.09.003	https://doi.org/10.1016/j.compag.2009.09.003	PROPN
ecletica-1009	137	11	https://doi.org/10.1016/j.compag.2009.09.003	https://doi.org/10.1016/j.compag.2009.09.003	PROPN
ecletica-1009	137	12	https://doi.org/10.1016/j.compag.2009.09.003	https://doi.org/10.1016/j.compag.2009.09.003	PROPN
ecletica-1009	137	13	https://doi.org/10.1007/s12161-017-1028-6	https://doi.org/10.1007/s12161-017-1028-6	NUM
ecletica-1009	137	14	https://doi.org/10.1007/s12161-017-1028-6	https://doi.org/10.1007/s12161-017-1028-6	NUM
ecletica-1009	137	15	https://doi.org/10.1007/s12161-017-1028-6	https://doi.org/10.1007/s12161-017-1028-6	NUM
ecletica-1009	137	16	https://doi.org/10.1007/s12161-017-1028-6	https://doi.org/10.1007/s12161-017-1028-6	NUM
ecletica-1009	137	17	https://doi.org/10.1007/s12161-017-1028-6	https://doi.org/10.1007/s12161-017-1028-6	NUM
ecletica-1009	137	18	https://doi.org/10.1007/s12161-017-1028-6	https://doi.org/10.1007/s12161-017-1028-6	NUM
ecletica-1009	137	19	original	original	ADJ
ecletica-1009	137	20	article	article	NOUN
ecletica-1009	137	21	17	17	NUM
ecletica-1009	137	22	eclética	eclética	PROPN
ecletica-1009	137	23	química	química	PROPN
ecletica-1009	137	24	journal	journal	PROPN
ecletica-1009	137	25	,	,	PUNCT
ecletica-1009	137	26	vol	vol	NOUN
ecletica-1009	137	27	.	.	PROPN
ecletica-1009	137	28	45	45	NUM
ecletica-1009	137	29	,	,	PUNCT
ecletica-1009	137	30	n.	n.	NOUN
ecletica-1009	137	31	1	1	NUM
ecletica-1009	137	32	,	,	PUNCT
ecletica-1009	137	33	2020	2020	NUM
ecletica-1009	137	34	,	,	PUNCT
ecletica-1009	137	35	11	11	NUM
ecletica-1009	137	36	-	-	SYM
ecletica-1009	137	37	17	17	NUM
ecletica-1009	137	38	issn	issn	NOUN
ecletica-1009	137	39	:	:	PUNCT
ecletica-1009	137	40	1678	1678	NUM
ecletica-1009	137	41	-	-	SYM
ecletica-1009	137	42	4618	4618	NUM
ecletica-1009	137	43	doi	doi	NOUN
ecletica-1009	137	44	:	:	PUNCT
ecletica-1009	137	45	10.26850/1678	10.26850/1678	NUM
ecletica-1009	137	46	-	-	PUNCT
ecletica-1009	137	47	4618eqj.v45.1.2020.p11	4618eqj.v45.1.2020.p11	NOUN
ecletica-1009	137	48	-	-	PUNCT
ecletica-1009	137	49	17	17	NUM
ecletica-1009	137	50	[	[	X
ecletica-1009	137	51	9	9	NUM
ecletica-1009	137	52	]	]	SYM
ecletica-1009	137	53	santos	santo	NOUN
ecletica-1009	137	54	,	,	PUNCT
ecletica-1009	137	55	p.	p.	NOUN
ecletica-1009	137	56	m.	m.	NOUN
ecletica-1009	137	57	,	,	PUNCT
ecletica-1009	137	58	wentzell	wentzell	VERB
ecletica-1009	137	59	,	,	PUNCT
ecletica-1009	137	60	p.	p.	PROPN
ecletica-1009	137	61	d.	d.	PROPN
ecletica-1009	137	62	,	,	PUNCT
ecletica-1009	137	63	pereira	pereira	PROPN
ecletica-1009	137	64	-	-	PUNCT
ecletica-1009	137	65	filho	filho	PROPN
ecletica-1009	137	66	,	,	PUNCT
ecletica-1009	137	67	e.	e.	PROPN
ecletica-1009	137	68	r.	r.	PROPN
ecletica-1009	137	69	,	,	PUNCT
ecletica-1009	137	70	scanner	scanner	NOUN
ecletica-1009	137	71	digital	digital	ADJ
ecletica-1009	137	72	images	image	NOUN
ecletica-1009	137	73	combined	combine	VERB
ecletica-1009	137	74	with	with	ADP
ecletica-1009	137	75	color	color	NOUN
ecletica-1009	137	76	parameters	parameter	NOUN
ecletica-1009	137	77	:	:	PUNCT
ecletica-1009	137	78	a	a	DET
ecletica-1009	137	79	case	case	NOUN
ecletica-1009	137	80	study	study	NOUN
ecletica-1009	137	81	to	to	PART
ecletica-1009	137	82	detect	detect	VERB
ecletica-1009	137	83	adulterations	adulteration	NOUN
ecletica-1009	137	84	in	in	ADP
ecletica-1009	137	85	liquid	liquid	ADJ
ecletica-1009	137	86	cow	cow	NOUN
ecletica-1009	137	87	’s	’s	PART
ecletica-1009	137	88	milk	milk	NOUN
ecletica-1009	137	89	,	,	PUNCT
ecletica-1009	137	90	food	food	NOUN
ecletica-1009	137	91	analytical	analytical	ADJ
ecletica-1009	137	92	methods	method	NOUN
ecletica-1009	137	93	5	5	NUM
ecletica-1009	137	94	(	(	PUNCT
ecletica-1009	137	95	1	1	NUM
ecletica-1009	137	96	)	)	PUNCT
ecletica-1009	137	97	(	(	PUNCT
ecletica-1009	137	98	2012	2012	NUM
ecletica-1009	137	99	)	)	PUNCT
ecletica-1009	137	100	89	89	NUM
ecletica-1009	137	101	-	-	SYM
ecletica-1009	137	102	95	95	NUM
ecletica-1009	137	103	.	.	PUNCT
ecletica-1009	138	1	https://doi.org/10.1007/s12161-0119216-2	https://doi.org/10.1007/s12161-0119216-2	NOUN
ecletica-1009	138	2	.	.	PUNCT
ecletica-1009	139	1	[	[	X
ecletica-1009	139	2	10	10	NUM
ecletica-1009	139	3	]	]	X
ecletica-1009	139	4	borin	borin	ADV
ecletica-1009	139	5	,	,	PUNCT
ecletica-1009	139	6	a.	a.	NOUN
ecletica-1009	139	7	,	,	PUNCT
ecletica-1009	139	8	ferrão	ferrão	NOUN
ecletica-1009	139	9	,	,	PUNCT
ecletica-1009	139	10	m.	m.	NOUN
ecletica-1009	139	11	f.	f.	PROPN
ecletica-1009	139	12	,	,	PUNCT
ecletica-1009	139	13	mello	mello	PROPN
ecletica-1009	139	14	,	,	PUNCT
ecletica-1009	139	15	c.	c.	PROPN
ecletica-1009	139	16	,	,	PUNCT
ecletica-1009	139	17	cordi	cordi	PROPN
ecletica-1009	139	18	,	,	PUNCT
ecletica-1009	139	19	l.	l.	PROPN
ecletica-1009	139	20	,	,	PUNCT
ecletica-1009	139	21	pataca	pataca	PROPN
ecletica-1009	139	22	,	,	PUNCT
ecletica-1009	139	23	l.	l.	PROPN
ecletica-1009	139	24	c.	c.	PROPN
ecletica-1009	139	25	m.	m.	PROPN
ecletica-1009	139	26	,	,	PUNCT
ecletica-1009	139	27	durán	durán	NOUN
ecletica-1009	139	28	,	,	PUNCT
ecletica-1009	139	29	n.	n.	NOUN
ecletica-1009	139	30	,	,	PUNCT
ecletica-1009	139	31	poppi	poppi	PROPN
ecletica-1009	139	32	,	,	PUNCT
ecletica-1009	139	33	r.	r.	PROPN
ecletica-1009	139	34	j.	j.	PROPN
ecletica-1009	139	35	,	,	PUNCT
ecletica-1009	139	36	quantification	quantification	NOUN
ecletica-1009	139	37	of	of	ADP
ecletica-1009	139	38	lactobacillus	lactobacillus	NOUN
ecletica-1009	139	39	in	in	ADP
ecletica-1009	139	40	fermented	ferment	VERB
ecletica-1009	139	41	milk	milk	NOUN
ecletica-1009	139	42	by	by	ADP
ecletica-1009	139	43	multivariate	multivariate	NOUN
ecletica-1009	139	44	image	image	NOUN
ecletica-1009	139	45	analysis	analysis	NOUN
ecletica-1009	139	46	with	with	ADP
ecletica-1009	139	47	least	least	ADJ
ecletica-1009	139	48	-	-	PUNCT
ecletica-1009	139	49	squares	square	NOUN
ecletica-1009	139	50	supportvector	supportvector	PROPN
ecletica-1009	139	51	machines	machines	PROPN
ecletica-1009	139	52	,	,	PUNCT
ecletica-1009	139	53	analytical	analytical	ADJ
ecletica-1009	139	54	&	&	CCONJ
ecletica-1009	139	55	bioanalytical	bioanalytical	ADJ
ecletica-1009	139	56	chemistry	chemistry	NOUN
ecletica-1009	139	57	387	387	NUM
ecletica-1009	139	58	(	(	PUNCT
ecletica-1009	139	59	2007	2007	NUM
ecletica-1009	139	60	)	)	PUNCT
ecletica-1009	139	61	(	(	PUNCT
ecletica-1009	139	62	3	3	X
ecletica-1009	139	63	)	)	PUNCT
ecletica-1009	139	64	1105	1105	NUM
ecletica-1009	139	65	-	-	SYM
ecletica-1009	139	66	1112	1112	NUM
ecletica-1009	139	67	.	.	PUNCT
ecletica-1009	140	1	https://doi.org/10.1007/s00216-006-0971-7	https://doi.org/10.1007/s00216-006-0971-7	NUM
ecletica-1009	140	2	.	.	PUNCT
ecletica-1009	141	1	[	[	X
ecletica-1009	141	2	11	11	NUM
ecletica-1009	141	3	]	]	X
ecletica-1009	141	4	pereira	pereira	PROPN
ecletica-1009	141	5	,	,	PUNCT
ecletica-1009	141	6	f.	f.	PROPN
ecletica-1009	141	7	m.	m.	PROPN
ecletica-1009	141	8	v.	v.	PROPN
ecletica-1009	141	9	,	,	PUNCT
ecletica-1009	141	10	milori	milori	PROPN
ecletica-1009	141	11	,	,	PUNCT
ecletica-1009	141	12	d.	d.	PROPN
ecletica-1009	141	13	m.	m.	PROPN
ecletica-1009	141	14	b.	b.	PROPN
ecletica-1009	141	15	p.	p.	PROPN
ecletica-1009	141	16	,	,	PUNCT
ecletica-1009	141	17	pereirafilho	pereirafilho	NOUN
ecletica-1009	141	18	,	,	PUNCT
ecletica-1009	141	19	e.	e.	PROPN
ecletica-1009	141	20	r.	r.	PROPN
ecletica-1009	141	21	,	,	PUNCT
ecletica-1009	141	22	venâncio	venâncio	NOUN
ecletica-1009	141	23	,	,	PUNCT
ecletica-1009	141	24	a.	a.	PROPN
ecletica-1009	141	25	l.	l.	PROPN
ecletica-1009	141	26	,	,	PUNCT
ecletica-1009	141	27	russo	russo	PROPN
ecletica-1009	141	28	,	,	PUNCT
ecletica-1009	141	29	m.	m.	NOUN
ecletica-1009	141	30	s.	s.	PROPN
ecletica-1009	141	31	t.	t.	PROPN
ecletica-1009	141	32	,	,	PUNCT
ecletica-1009	141	33	martins	martin	NOUN
ecletica-1009	141	34	,	,	PUNCT
ecletica-1009	141	35	p.	p.	PROPN
ecletica-1009	141	36	k.	k.	PROPN
ecletica-1009	141	37	,	,	PUNCT
ecletica-1009	141	38	freitas	freitas	PROPN
ecletica-1009	141	39	-	-	PUNCT
ecletica-1009	141	40	astúa	astúa	PROPN
ecletica-1009	141	41	,	,	PUNCT
ecletica-1009	141	42	j.	j.	PROPN
ecletica-1009	141	43	,	,	PUNCT
ecletica-1009	141	44	fluorescence	fluorescence	NOUN
ecletica-1009	141	45	images	image	NOUN
ecletica-1009	141	46	combined	combine	VERB
ecletica-1009	141	47	to	to	PART
ecletica-1009	141	48	statistic	statistic	VERB
ecletica-1009	141	49	test	test	NOUN
ecletica-1009	141	50	for	for	ADP
ecletica-1009	141	51	fingerprinting	fingerprinting	NOUN
ecletica-1009	141	52	of	of	ADP
ecletica-1009	141	53	citrus	citrus	NOUN
ecletica-1009	141	54	plants	plant	NOUN
ecletica-1009	141	55	after	after	ADP
ecletica-1009	141	56	bacterial	bacterial	ADJ
ecletica-1009	141	57	infection	infection	NOUN
ecletica-1009	141	58	,	,	PUNCT
ecletica-1009	141	59	analytical	analytical	ADJ
ecletica-1009	141	60	methods	method	NOUN
ecletica-1009	141	61	3	3	NUM
ecletica-1009	141	62	(	(	PUNCT
ecletica-1009	141	63	2011	2011	NUM
ecletica-1009	141	64	)	)	PUNCT
ecletica-1009	141	65	552556	552556	NUM
ecletica-1009	141	66	.	.	PUNCT
ecletica-1009	142	1	https://doi.org/10.1039/c0ay00538j	https://doi.org/10.1039/c0ay00538j	ADJ
ecletica-1009	142	2	.	.	PUNCT
ecletica-1009	143	1	[	[	X
ecletica-1009	143	2	12	12	NUM
ecletica-1009	143	3	]	]	PUNCT
ecletica-1009	143	4	hagan	hagan	NOUN
ecletica-1009	143	5	,	,	PUNCT
ecletica-1009	143	6	m.	m.	NOUN
ecletica-1009	143	7	t.	t.	PROPN
ecletica-1009	143	8	,	,	PUNCT
ecletica-1009	143	9	demuth	demuth	PROPN
ecletica-1009	143	10	h.	h.	PROPN
ecletica-1009	143	11	b	b	PROPN
ecletica-1009	143	12	,	,	PUNCT
ecletica-1009	143	13	beale	beale	NOUN
ecletica-1009	143	14	m.	m.	NOUN
ecletica-1009	143	15	,	,	PUNCT
ecletica-1009	143	16	neural	neural	ADJ
ecletica-1009	143	17	network	network	NOUN
ecletica-1009	143	18	design	design	NOUN
ecletica-1009	143	19	.	.	PUNCT
ecletica-1009	144	1	pws	pws	NOUN
ecletica-1009	144	2	publishing	publishing	NOUN
ecletica-1009	144	3	company	company	NOUN
ecletica-1009	144	4	,	,	PUNCT
ecletica-1009	144	5	boston	boston	PROPN
ecletica-1009	144	6	,	,	PUNCT
ecletica-1009	144	7	1996	1996	NUM
ecletica-1009	144	8	.	.	PUNCT
ecletica-1009	145	1	[	[	X
ecletica-1009	145	2	13	13	NUM
ecletica-1009	145	3	]	]	SYM
ecletica-1009	145	4	haykin	haykin	PROPN
ecletica-1009	145	5	,	,	PUNCT
ecletica-1009	145	6	s.	s.	PROPN
ecletica-1009	145	7	,	,	PUNCT
ecletica-1009	145	8	neural	neural	ADJ
ecletica-1009	145	9	networks	network	NOUN
ecletica-1009	145	10	:	:	PUNCT
ecletica-1009	145	11	a	a	DET
ecletica-1009	145	12	comprehensive	comprehensive	ADJ
ecletica-1009	145	13	foundation	foundation	NOUN
ecletica-1009	145	14	.	.	PUNCT
ecletica-1009	146	1	prentice	prentice	PROPN
ecletica-1009	146	2	hall	hall	PROPN
ecletica-1009	146	3	,	,	PUNCT
ecletica-1009	146	4	new	new	PROPN
ecletica-1009	146	5	jersey	jersey	PROPN
ecletica-1009	146	6	,	,	PUNCT
ecletica-1009	146	7	1999	1999	NUM
ecletica-1009	146	8	.	.	PUNCT
ecletica-1009	147	1	[	[	X
ecletica-1009	147	2	14	14	NUM
ecletica-1009	147	3	]	]	SYM
ecletica-1009	147	4	li	li	PROPN
ecletica-1009	147	5	,	,	PUNCT
ecletica-1009	147	6	g.	g.	PROPN
ecletica-1009	147	7	,	,	PUNCT
ecletica-1009	147	8	shi	shi	PROPN
ecletica-1009	147	9	,	,	PUNCT
ecletica-1009	147	10	j.	j.	PROPN
ecletica-1009	147	11	,	,	PUNCT
ecletica-1009	147	12	on	on	ADP
ecletica-1009	147	13	comparing	compare	VERB
ecletica-1009	147	14	three	three	NUM
ecletica-1009	147	15	artificial	artificial	ADJ
ecletica-1009	147	16	neural	neural	ADJ
ecletica-1009	147	17	networks	network	NOUN
ecletica-1009	147	18	for	for	ADP
ecletica-1009	147	19	wind	wind	NOUN
ecletica-1009	147	20	speed	speed	NOUN
ecletica-1009	147	21	forecasting	forecasting	NOUN
ecletica-1009	147	22	,	,	PUNCT
ecletica-1009	147	23	applied	apply	VERB
ecletica-1009	147	24	energy	energy	NOUN
ecletica-1009	147	25	87	87	NUM
ecletica-1009	147	26	(	(	PUNCT
ecletica-1009	147	27	7	7	NUM
ecletica-1009	147	28	)	)	PUNCT
ecletica-1009	147	29	(	(	PUNCT
ecletica-1009	147	30	2010	2010	NUM
ecletica-1009	147	31	)	)	PUNCT
ecletica-1009	147	32	2313	2313	NUM
ecletica-1009	147	33	-	-	SYM
ecletica-1009	147	34	2320	2320	NUM
ecletica-1009	147	35	.	.	PUNCT
ecletica-1009	148	1	https://doi.org/10.1016/j.apenergy.2009.12.013	https://doi.org/10.1016/j.apenergy.2009.12.013	PROPN
ecletica-1009	148	2	.	.	PUNCT
ecletica-1009	149	1	[	[	X
ecletica-1009	149	2	15	15	NUM
ecletica-1009	149	3	]	]	X
ecletica-1009	149	4	nafey	nafey	NOUN
ecletica-1009	149	5	,	,	PUNCT
ecletica-1009	149	6	a.	a.	PROPN
ecletica-1009	149	7	s.	s.	PROPN
ecletica-1009	149	8	,	,	PUNCT
ecletica-1009	149	9	neural	neural	ADJ
ecletica-1009	149	10	network	network	NOUN
ecletica-1009	149	11	based	base	VERB
ecletica-1009	149	12	correlation	correlation	NOUN
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ecletica-1009	149	14	critical	critical	ADJ
ecletica-1009	149	15	heat	heat	NOUN
ecletica-1009	149	16	flux	flux	NOUN
ecletica-1009	149	17	in	in	ADP
ecletica-1009	149	18	steam	steam	NOUN
ecletica-1009	149	19	-	-	PUNCT
ecletica-1009	149	20	water	water	NOUN
ecletica-1009	149	21	flows	flow	NOUN
ecletica-1009	149	22	,	,	PUNCT
ecletica-1009	149	23	international	international	ADJ
ecletica-1009	149	24	journal	journal	NOUN
ecletica-1009	149	25	of	of	ADP
ecletica-1009	149	26	thermal	thermal	ADJ
ecletica-1009	149	27	sciences	science	NOUN
ecletica-1009	149	28	48	48	NUM
ecletica-1009	149	29	(	(	PUNCT
ecletica-1009	149	30	12	12	NUM
ecletica-1009	149	31	)	)	PUNCT
ecletica-1009	149	32	(	(	PUNCT
ecletica-1009	149	33	2009	2009	NUM
ecletica-1009	149	34	)	)	PUNCT
ecletica-1009	149	35	22642270	22642270	NUM
ecletica-1009	149	36	.	.	PUNCT
ecletica-1009	150	1	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	NOUN
ecletica-1009	150	2	.	.	PUNCT
ecletica-1009	151	1	[	[	X
ecletica-1009	151	2	16	16	NUM
ecletica-1009	151	3	]	]	SYM
ecletica-1009	151	4	niemi	niemi	PROPN
ecletica-1009	151	5	,	,	PUNCT
ecletica-1009	151	6	h.	h.	PROPN
ecletica-1009	151	7	,	,	PUNCT
ecletica-1009	151	8	bulsari	bulsari	PROPN
ecletica-1009	151	9	,	,	PUNCT
ecletica-1009	151	10	a.	a.	NOUN
ecletica-1009	151	11	,	,	PUNCT
ecletica-1009	151	12	palosaari	palosaari	PROPN
ecletica-1009	151	13	,	,	PUNCT
ecletica-1009	151	14	s.	s.	PROPN
ecletica-1009	151	15	,	,	PUNCT
ecletica-1009	151	16	simulation	simulation	NOUN
ecletica-1009	151	17	of	of	ADP
ecletica-1009	151	18	membrane	membrane	NOUN
ecletica-1009	151	19	separation	separation	NOUN
ecletica-1009	151	20	by	by	ADP
ecletica-1009	151	21	neural	neural	ADJ
ecletica-1009	151	22	networks	network	NOUN
ecletica-1009	151	23	,	,	PUNCT
ecletica-1009	151	24	journal	journal	NOUN
ecletica-1009	151	25	of	of	ADP
ecletica-1009	151	26	membrane	membrane	NOUN
ecletica-1009	151	27	science	science	NOUN
ecletica-1009	151	28	102	102	NUM
ecletica-1009	151	29	(	(	PUNCT
ecletica-1009	151	30	1995	1995	NUM
ecletica-1009	151	31	)	)	PUNCT
ecletica-1009	151	32	185	185	NUM
ecletica-1009	151	33	-	-	SYM
ecletica-1009	151	34	191	191	NUM
ecletica-1009	151	35	.	.	PUNCT
ecletica-1009	152	1	https://doi.org/10.1016/0376-7388(94)00314-o	https://doi.org/10.1016/0376-7388(94)00314-o	PROPN
ecletica-1009	152	2	.	.	PUNCT
ecletica-1009	153	1	[	[	X
ecletica-1009	153	2	17	17	NUM
ecletica-1009	153	3	]	]	X
ecletica-1009	153	4	zhang	zhang	PROPN
ecletica-1009	153	5	,	,	PUNCT
ecletica-1009	153	6	z.	z.	PROPN
ecletica-1009	153	7	,	,	PUNCT
ecletica-1009	153	8	friedrich	friedrich	PROPN
ecletica-1009	153	9	,	,	PUNCT
ecletica-1009	153	10	k.	k.	PROPN
ecletica-1009	153	11	,	,	PUNCT
ecletica-1009	153	12	artificial	artificial	ADJ
ecletica-1009	153	13	neural	neural	ADJ
ecletica-1009	153	14	networks	network	NOUN
ecletica-1009	153	15	applied	apply	VERB
ecletica-1009	153	16	to	to	ADP
ecletica-1009	153	17	polymer	polymer	NOUN
ecletica-1009	153	18	composites	composite	NOUN
ecletica-1009	153	19	:	:	PUNCT
ecletica-1009	153	20	a	a	DET
ecletica-1009	153	21	review	review	NOUN
ecletica-1009	153	22	,	,	PUNCT
ecletica-1009	153	23	composites	composite	VERB
ecletica-1009	153	24	science	science	NOUN
ecletica-1009	153	25	and	and	CCONJ
ecletica-1009	153	26	technology	technology	NOUN
ecletica-1009	153	27	63	63	NUM
ecletica-1009	153	28	(	(	PUNCT
ecletica-1009	153	29	14	14	NUM
ecletica-1009	153	30	)	)	PUNCT
ecletica-1009	153	31	(	(	PUNCT
ecletica-1009	153	32	2003	2003	NUM
ecletica-1009	153	33	)	)	PUNCT
ecletica-1009	153	34	2029	2029	NUM
ecletica-1009	153	35	-	-	SYM
ecletica-1009	153	36	2044	2044	NUM
ecletica-1009	153	37	.	.	PUNCT
ecletica-1009	154	1	https://doi.org/10.1016/s0266-3538(03)00106-4	https://doi.org/10.1016/s0266-3538(03)00106-4	PROPN
ecletica-1009	154	2	.	.	PUNCT
ecletica-1009	155	1	[	[	X
ecletica-1009	155	2	18	18	NUM
ecletica-1009	155	3	]	]	PUNCT
ecletica-1009	155	4	tanzifi	tanzifi	NOUN
ecletica-1009	155	5	,	,	PUNCT
ecletica-1009	155	6	m.	m.	NOUN
ecletica-1009	155	7	,	,	PUNCT
ecletica-1009	155	8	yaraki	yaraki	NOUN
ecletica-1009	155	9	,	,	PUNCT
ecletica-1009	155	10	m.	m.	NOUN
ecletica-1009	155	11	t.	t.	PROPN
ecletica-1009	155	12	,	,	PUNCT
ecletica-1009	155	13	kiadehi	kiadehi	PROPN
ecletica-1009	155	14	,	,	PUNCT
ecletica-1009	155	15	a.	a.	PROPN
ecletica-1009	155	16	d.	d.	PROPN
ecletica-1009	155	17	,	,	PUNCT
ecletica-1009	155	18	hosseini	hosseini	PROPN
ecletica-1009	155	19	,	,	PUNCT
ecletica-1009	155	20	s.	s.	PROPN
ecletica-1009	155	21	h.	h.	PROPN
ecletica-1009	155	22	,	,	PUNCT
ecletica-1009	155	23	olazar	olazar	NOUN
ecletica-1009	155	24	,	,	PUNCT
ecletica-1009	155	25	m.	m.	NOUN
ecletica-1009	155	26	,	,	PUNCT
ecletica-1009	155	27	bharti	bharti	PROPN
ecletica-1009	155	28	,	,	PUNCT
ecletica-1009	155	29	a.	a.	PROPN
ecletica-1009	155	30	k.	k.	PROPN
ecletica-1009	155	31	,	,	PUNCT
ecletica-1009	155	32	agarwal	agarwal	PROPN
ecletica-1009	155	33	,	,	PUNCT
ecletica-1009	155	34	s.	s.	PROPN
ecletica-1009	155	35	,	,	PUNCT
ecletica-1009	155	36	gupta	gupta	PROPN
ecletica-1009	155	37	,	,	PUNCT
ecletica-1009	155	38	v.	v.	PROPN
ecletica-1009	155	39	k.	k.	PROPN
ecletica-1009	155	40	,	,	PUNCT
ecletica-1009	155	41	kazemi	kazemi	PROPN
ecletica-1009	155	42	,	,	PUNCT
ecletica-1009	155	43	a.	a.	NOUN
ecletica-1009	155	44	,	,	PUNCT
ecletica-1009	155	45	adsorption	adsorption	NOUN
ecletica-1009	155	46	of	of	ADP
ecletica-1009	155	47	amido	amido	NOUN
ecletica-1009	155	48	black	black	ADJ
ecletica-1009	155	49	10b	10b	NOUN
ecletica-1009	155	50	from	from	ADP
ecletica-1009	155	51	aqueous	aqueous	ADJ
ecletica-1009	155	52	solution	solution	NOUN
ecletica-1009	155	53	using	use	VERB
ecletica-1009	155	54	polyaniline/	polyaniline/	NUM
ecletica-1009	155	55	sio2	sio2	NOUN
ecletica-1009	155	56	nanocomposite	nanocomposite	NOUN
ecletica-1009	155	57	:	:	PUNCT
ecletica-1009	155	58	experimental	experimental	ADJ
ecletica-1009	155	59	investigation	investigation	NOUN
ecletica-1009	155	60	and	and	CCONJ
ecletica-1009	155	61	artificial	artificial	ADJ
ecletica-1009	155	62	neural	neural	ADJ
ecletica-1009	155	63	network	network	NOUN
ecletica-1009	155	64	modelling	modelling	NOUN
ecletica-1009	155	65	,	,	PUNCT
ecletica-1009	155	66	journal	journal	NOUN
ecletica-1009	155	67	of	of	ADP
ecletica-1009	155	68	colloid	colloid	NOUN
ecletica-1009	155	69	and	and	CCONJ
ecletica-1009	155	70	interface	interface	NOUN
ecletica-1009	155	71	science	science	NOUN
ecletica-1009	155	72	510	510	NUM
ecletica-1009	155	73	(	(	PUNCT
ecletica-1009	155	74	2018	2018	NUM
ecletica-1009	155	75	)	)	PUNCT
ecletica-1009	155	76	246	246	NUM
ecletica-1009	155	77	-	-	SYM
ecletica-1009	155	78	261	261	NUM
ecletica-1009	155	79	.	.	PUNCT
ecletica-1009	155	80	https://doi.org/10.1016/j.jcis.2017.09.055	https://doi.org/10.1016/j.jcis.2017.09.055	NOUN
ecletica-1009	155	81	.	.	PUNCT
ecletica-1009	156	1	[	[	X
ecletica-1009	156	2	19	19	NUM
ecletica-1009	156	3	]	]	X
ecletica-1009	156	4	ramil	ramil	PROPN
ecletica-1009	156	5	,	,	PUNCT
ecletica-1009	156	6	a.	a.	NOUN
ecletica-1009	156	7	,	,	PUNCT
ecletica-1009	156	8	lópez	lópez	PROPN
ecletica-1009	156	9	,	,	PUNCT
ecletica-1009	156	10	a.	a.	PROPN
ecletica-1009	156	11	j.	j.	PROPN
ecletica-1009	156	12	,	,	PUNCT
ecletica-1009	156	13	rivas	rivas	PROPN
ecletica-1009	156	14	,	,	PUNCT
ecletica-1009	156	15	t.	t.	PROPN
ecletica-1009	156	16	,	,	PUNCT
ecletica-1009	156	17	a	a	DET
ecletica-1009	156	18	computer	computer	NOUN
ecletica-1009	156	19	vision	vision	NOUN
ecletica-1009	156	20	system	system	NOUN
ecletica-1009	156	21	for	for	ADP
ecletica-1009	156	22	identification	identification	NOUN
ecletica-1009	156	23	of	of	ADP
ecletica-1009	156	24	granite	granite	NOUN
ecletica-1009	156	25	-	-	PUNCT
ecletica-1009	156	26	forming	form	VERB
ecletica-1009	156	27	minerals	mineral	NOUN
ecletica-1009	156	28	based	base	VERB
ecletica-1009	156	29	on	on	ADP
ecletica-1009	156	30	rgb	rgb	PROPN
ecletica-1009	156	31	data	datum	NOUN
ecletica-1009	156	32	and	and	CCONJ
ecletica-1009	156	33	artificial	artificial	ADJ
ecletica-1009	156	34	neural	neural	ADJ
ecletica-1009	156	35	networks	network	NOUN
ecletica-1009	156	36	,	,	PUNCT
ecletica-1009	156	37	measurement	measurement	NOUN
ecletica-1009	156	38	117	117	NUM
ecletica-1009	156	39	(	(	PUNCT
ecletica-1009	156	40	2018	2018	NUM
ecletica-1009	156	41	)	)	PUNCT
ecletica-1009	156	42	90	90	NUM
ecletica-1009	156	43	-	-	SYM
ecletica-1009	156	44	95	95	NUM
ecletica-1009	156	45	.	.	PUNCT
ecletica-1009	157	1	https://doi.org/10.1016/j.measurement.2017.12.006	https://doi.org/10.1016/j.measurement.2017.12.006	NOUN
ecletica-1009	157	2	.	.	PUNCT
ecletica-1009	158	1	[	[	X
ecletica-1009	158	2	20	20	NUM
ecletica-1009	158	3	]	]	SYM
ecletica-1009	158	4	walczak	walczak	NOUN
ecletica-1009	158	5	,	,	PUNCT
ecletica-1009	158	6	s.	s.	PROPN
ecletica-1009	158	7	,	,	PUNCT
ecletica-1009	158	8	velanovich	velanovich	PROPN
ecletica-1009	158	9	,	,	PUNCT
ecletica-1009	158	10	v.	v.	ADV
ecletica-1009	158	11	,	,	PUNCT
ecletica-1009	158	12	improving	improve	VERB
ecletica-1009	158	13	prognosis	prognosis	NOUN
ecletica-1009	158	14	and	and	CCONJ
ecletica-1009	158	15	reducing	reduce	VERB
ecletica-1009	158	16	decision	decision	NOUN
ecletica-1009	158	17	regret	regret	NOUN
ecletica-1009	158	18	for	for	ADP
ecletica-1009	158	19	pancreatic	pancreatic	ADJ
ecletica-1009	158	20	cancer	cancer	NOUN
ecletica-1009	158	21	treatment	treatment	NOUN
ecletica-1009	158	22	using	use	VERB
ecletica-1009	158	23	artificial	artificial	ADJ
ecletica-1009	158	24	neural	neural	ADJ
ecletica-1009	158	25	networks	network	NOUN
ecletica-1009	158	26	,	,	PUNCT
ecletica-1009	158	27	decision	decision	NOUN
ecletica-1009	158	28	support	support	NOUN
ecletica-1009	158	29	systems	system	NOUN
ecletica-1009	158	30	106	106	NUM
ecletica-1009	158	31	(	(	PUNCT
ecletica-1009	158	32	2018	2018	NUM
ecletica-1009	158	33	)	)	PUNCT
ecletica-1009	158	34	110	110	NUM
ecletica-1009	158	35	-	-	SYM
ecletica-1009	158	36	118	118	NUM
ecletica-1009	158	37	.	.	PUNCT
ecletica-1009	159	1	https://doi.org/10.1016/j.dss.2017.12.007	https://doi.org/10.1016/j.dss.2017.12.007	VERB
ecletica-1009	159	2	.	.	PUNCT
ecletica-1009	160	1	[	[	X
ecletica-1009	160	2	21	21	NUM
ecletica-1009	160	3	]	]	X
ecletica-1009	160	4	ortega	ortega	PROPN
ecletica-1009	160	5	-	-	PROPN
ecletica-1009	160	6	zamorano	zamorano	PROPN
ecletica-1009	160	7	,	,	PUNCT
ecletica-1009	160	8	f.	f.	PROPN
ecletica-1009	160	9	,	,	PUNCT
ecletica-1009	160	10	jerez	jerez	PROPN
ecletica-1009	160	11	,	,	PUNCT
ecletica-1009	160	12	j.	j.	PROPN
ecletica-1009	160	13	m.	m.	PROPN
ecletica-1009	160	14	,	,	PUNCT
ecletica-1009	160	15	juarez	juarez	PROPN
ecletica-1009	160	16	,	,	PUNCT
ecletica-1009	160	17	g.	g.	PROPN
ecletica-1009	160	18	e.	e.	PROPN
ecletica-1009	160	19	,	,	PUNCT
ecletica-1009	160	20	franco	franco	PROPN
ecletica-1009	160	21	,	,	PUNCT
ecletica-1009	160	22	l.	l.	PROPN
ecletica-1009	160	23	,	,	PUNCT
ecletica-1009	160	24	fpga	fpga	PROPN
ecletica-1009	160	25	implementation	implementation	NOUN
ecletica-1009	160	26	of	of	ADP
ecletica-1009	160	27	neurocomputational	neurocomputational	ADJ
ecletica-1009	160	28	models	model	NOUN
ecletica-1009	160	29	:	:	PUNCT
ecletica-1009	160	30	comparison	comparison	NOUN
ecletica-1009	160	31	between	between	ADP
ecletica-1009	160	32	standard	standard	ADJ
ecletica-1009	160	33	back	back	ADJ
ecletica-1009	160	34	-	-	PUNCT
ecletica-1009	160	35	propagation	propagation	NOUN
ecletica-1009	160	36	and	and	CCONJ
ecletica-1009	160	37	c	c	NOUN
ecletica-1009	160	38	-	-	PUNCT
ecletica-1009	160	39	mantec	mantec	ADJ
ecletica-1009	160	40	constructive	constructive	ADJ
ecletica-1009	160	41	algorithm	algorithm	NOUN
ecletica-1009	160	42	,	,	PUNCT
ecletica-1009	160	43	neural	neural	ADJ
ecletica-1009	160	44	processing	processing	NOUN
ecletica-1009	160	45	letters	letter	NOUN
ecletica-1009	160	46	46	46	NUM
ecletica-1009	160	47	(	(	PUNCT
ecletica-1009	160	48	3	3	NUM
ecletica-1009	160	49	)	)	PUNCT
ecletica-1009	160	50	(	(	PUNCT
ecletica-1009	160	51	2017	2017	NUM
ecletica-1009	160	52	)	)	PUNCT
ecletica-1009	160	53	899	899	NUM
ecletica-1009	160	54	-	-	SYM
ecletica-1009	160	55	914	914	NUM
ecletica-1009	160	56	.	.	PUNCT
ecletica-1009	161	1	https://doi.org/10.1007/s11063017-9655-x	https://doi.org/10.1007/s11063017-9655-x	VERB
ecletica-1009	161	2	.	.	PUNCT
ecletica-1009	162	1	[	[	X
ecletica-1009	162	2	22	22	NUM
ecletica-1009	162	3	]	]	PUNCT
ecletica-1009	162	4	filletti	filletti	NOUN
ecletica-1009	162	5	,	,	PUNCT
ecletica-1009	162	6	é	é	PROPN
ecletica-1009	162	7	.	.	PUNCT
ecletica-1009	162	8	r.	r.	PROPN
ecletica-1009	162	9	,	,	PUNCT
ecletica-1009	162	10	roque	roque	PROPN
ecletica-1009	162	11	,	,	PUNCT
ecletica-1009	162	12	w.	w.	PROPN
ecletica-1009	162	13	l.	l.	PROPN
ecletica-1009	162	14	,	,	PUNCT
ecletica-1009	162	15	estimating	estimate	VERB
ecletica-1009	162	16	the	the	DET
ecletica-1009	162	17	mechanical	mechanical	ADJ
ecletica-1009	162	18	competence	competence	NOUN
ecletica-1009	162	19	parameter	parameter	NOUN
ecletica-1009	162	20	of	of	ADP
ecletica-1009	162	21	the	the	DET
ecletica-1009	162	22	trabecular	trabecular	ADJ
ecletica-1009	162	23	bone	bone	NOUN
ecletica-1009	162	24	:	:	PUNCT
ecletica-1009	162	25	a	a	DET
ecletica-1009	162	26	neural	neural	ADJ
ecletica-1009	162	27	network	network	NOUN
ecletica-1009	162	28	approach	approach	NOUN
ecletica-1009	162	29	,	,	PUNCT
ecletica-1009	162	30	research	research	NOUN
ecletica-1009	162	31	in	in	ADP
ecletica-1009	162	32	biomedical	biomedical	ADJ
ecletica-1009	162	33	engineering	engineering	NOUN
ecletica-1009	162	34	32	32	NUM
ecletica-1009	162	35	(	(	PUNCT
ecletica-1009	162	36	2	2	NUM
ecletica-1009	162	37	)	)	PUNCT
ecletica-1009	162	38	(	(	PUNCT
ecletica-1009	162	39	2016	2016	NUM
ecletica-1009	162	40	)	)	PUNCT
ecletica-1009	162	41	137	137	NUM
ecletica-1009	162	42	-	-	SYM
ecletica-1009	162	43	143	143	NUM
ecletica-1009	162	44	.	.	PUNCT
ecletica-1009	163	1	https://doi.org/10.1590/2446-4740.05615	https://doi.org/10.1590/2446-4740.05615	NOUN
ecletica-1009	163	2	.	.	PUNCT
ecletica-1009	164	1	[	[	X
ecletica-1009	164	2	23	23	NUM
ecletica-1009	164	3	]	]	X
ecletica-1009	164	4	león	león	NOUN
ecletica-1009	164	5	-	-	PUNCT
ecletica-1009	164	6	roque	roque	ADJ
ecletica-1009	164	7	,	,	PUNCT
ecletica-1009	164	8	n.	n.	NOUN
ecletica-1009	164	9	,	,	PUNCT
ecletica-1009	164	10	abderrahim	abderrahim	NOUN
ecletica-1009	164	11	,	,	PUNCT
ecletica-1009	164	12	m.	m.	NOUN
ecletica-1009	164	13	,	,	PUNCT
ecletica-1009	164	14	nuñez	nuñez	PROPN
ecletica-1009	164	15	-	-	PUNCT
ecletica-1009	164	16	alejos	alejos	PROPN
ecletica-1009	164	17	,	,	PUNCT
ecletica-1009	164	18	l.	l.	PROPN
ecletica-1009	164	19	,	,	PUNCT
ecletica-1009	164	20	arribas	arribas	PROPN
ecletica-1009	164	21	,	,	PUNCT
ecletica-1009	164	22	s.	s.	PROPN
ecletica-1009	164	23	m.	m.	PROPN
ecletica-1009	164	24	,	,	PUNCT
ecletica-1009	164	25	condezo	condezo	PROPN
ecletica-1009	164	26	-	-	ADJ
ecletica-1009	164	27	hoyos	hoyos	PROPN
ecletica-1009	164	28	,	,	PUNCT
ecletica-1009	164	29	l.	l.	PROPN
ecletica-1009	164	30	,	,	PUNCT
ecletica-1009	164	31	prediction	prediction	NOUN
ecletica-1009	164	32	of	of	ADP
ecletica-1009	164	33	fermentation	fermentation	NOUN
ecletica-1009	164	34	index	index	NOUN
ecletica-1009	164	35	of	of	ADP
ecletica-1009	164	36	cocoa	cocoa	NOUN
ecletica-1009	164	37	beans	bean	NOUN
ecletica-1009	164	38	(	(	PUNCT
ecletica-1009	164	39	theobroma	theobroma	NOUN
ecletica-1009	164	40	cacao	cacao	NOUN
ecletica-1009	164	41	l.	l.	PROPN
ecletica-1009	164	42	)	)	PUNCT
ecletica-1009	164	43	based	base	VERB
ecletica-1009	164	44	on	on	ADP
ecletica-1009	164	45	colour	colour	NOUN
ecletica-1009	164	46	measurement	measurement	NOUN
ecletica-1009	164	47	and	and	CCONJ
ecletica-1009	164	48	artificial	artificial	ADJ
ecletica-1009	164	49	neural	neural	ADJ
ecletica-1009	164	50	networks	network	NOUN
ecletica-1009	164	51	,	,	PUNCT
ecletica-1009	164	52	talanta	talanta	VERB
ecletica-1009	164	53	161	161	NUM
ecletica-1009	164	54	(	(	PUNCT
ecletica-1009	164	55	1	1	NUM
ecletica-1009	164	56	)	)	PUNCT
ecletica-1009	164	57	(	(	PUNCT
ecletica-1009	164	58	2016	2016	NUM
ecletica-1009	164	59	)	)	PUNCT
ecletica-1009	164	60	31	31	NUM
ecletica-1009	164	61	-	-	SYM
ecletica-1009	164	62	39	39	NUM
ecletica-1009	164	63	.	.	PUNCT
ecletica-1009	165	1	https://doi.org/10.1016/j.talanta.2016.08.022	https://doi.org/10.1016/j.talanta.2016.08.022	PROPN
ecletica-1009	165	2	.	.	PUNCT
ecletica-1009	166	1	[	[	X
ecletica-1009	166	2	24	24	NUM
ecletica-1009	166	3	]	]	SYM
ecletica-1009	166	4	dubey	dubey	PROPN
ecletica-1009	166	5	,	,	PUNCT
ecletica-1009	166	6	b.	b.	PROPN
ecletica-1009	166	7	p.	p.	PROPN
ecletica-1009	166	8	,	,	PUNCT
ecletica-1009	166	9	bhagwat	bhagwat	PROPN
ecletica-1009	166	10	,	,	PUNCT
ecletica-1009	166	11	s.	s.	PROPN
ecletica-1009	166	12	g.	g.	PROPN
ecletica-1009	166	13	,	,	PUNCT
ecletica-1009	166	14	shouche	shouche	PROPN
ecletica-1009	166	15	,	,	PUNCT
ecletica-1009	166	16	s.	s.	PROPN
ecletica-1009	166	17	p.	p.	PROPN
ecletica-1009	166	18	,	,	PUNCT
ecletica-1009	166	19	sainis	sainis	PROPN
ecletica-1009	166	20	,	,	PUNCT
ecletica-1009	166	21	j.	j.	PROPN
ecletica-1009	166	22	k.	k.	PROPN
ecletica-1009	166	23	,	,	PUNCT
ecletica-1009	166	24	potential	potential	NOUN
ecletica-1009	166	25	of	of	ADP
ecletica-1009	166	26	artificial	artificial	ADJ
ecletica-1009	166	27	neural	neural	ADJ
ecletica-1009	166	28	networks	network	NOUN
ecletica-1009	166	29	in	in	ADP
ecletica-1009	166	30	varietal	varietal	ADJ
ecletica-1009	166	31	identification	identification	NOUN
ecletica-1009	166	32	using	use	VERB
ecletica-1009	166	33	morphometry	morphometry	NOUN
ecletica-1009	166	34	of	of	ADP
ecletica-1009	166	35	wheat	wheat	NOUN
ecletica-1009	166	36	grains	grain	NOUN
ecletica-1009	166	37	,	,	PUNCT
ecletica-1009	166	38	biosystems	biosystem	NOUN
ecletica-1009	166	39	engineering	engineer	VERB
ecletica-1009	166	40	95	95	NUM
ecletica-1009	166	41	(	(	PUNCT
ecletica-1009	166	42	1	1	NUM
ecletica-1009	166	43	)	)	PUNCT
ecletica-1009	166	44	(	(	PUNCT
ecletica-1009	166	45	2006	2006	NUM
ecletica-1009	166	46	)	)	PUNCT
ecletica-1009	166	47	61	61	NUM
ecletica-1009	166	48	-	-	SYM
ecletica-1009	166	49	67	67	NUM
ecletica-1009	166	50	.	.	PUNCT
ecletica-1009	167	1	https://doi.org/10.1016/j.biosystemseng.2006.06.001	https://doi.org/10.1016/j.biosystemseng.2006.06.001	PROPN
ecletica-1009	167	2	.	.	PUNCT
ecletica-1009	168	1	[	[	X
ecletica-1009	168	2	25	25	NUM
ecletica-1009	168	3	]	]	PUNCT
ecletica-1009	168	4	demuth	demuth	NOUN
ecletica-1009	168	5	,	,	PUNCT
ecletica-1009	168	6	h.	h.	PROPN
ecletica-1009	168	7	,	,	PUNCT
ecletica-1009	168	8	beale	beale	PROPN
ecletica-1009	168	9	,	,	PUNCT
ecletica-1009	168	10	m.	m.	NOUN
ecletica-1009	168	11	,	,	PUNCT
ecletica-1009	168	12	hagan	hagan	NOUN
ecletica-1009	168	13	,	,	PUNCT
ecletica-1009	168	14	m.	m.	NOUN
ecletica-1009	168	15	,	,	PUNCT
ecletica-1009	168	16	neural	neural	ADJ
ecletica-1009	168	17	network	network	NOUN
ecletica-1009	168	18	toolbox	toolbox	PROPN
ecletica-1009	168	19	6	6	NUM
ecletica-1009	168	20	:	:	PUNCT
ecletica-1009	168	21	user	user	NOUN
ecletica-1009	168	22	’s	’s	PART
ecletica-1009	168	23	guide	guide	NOUN
ecletica-1009	168	24	.	.	PUNCT
ecletica-1009	169	1	the	the	DET
ecletica-1009	169	2	math	math	NOUN
ecletica-1009	169	3	works	work	VERB
ecletica-1009	169	4	,	,	PUNCT
ecletica-1009	169	5	natick	natick	NOUN
ecletica-1009	169	6	,	,	PUNCT
ecletica-1009	169	7	2010	2010	NUM
ecletica-1009	169	8	.	.	PUNCT
ecletica-1009	170	1	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	https://doi.org/10.26850/1678-4618eqj.v45.1.2020.p11-17	PROPN
ecletica-1009	170	2	https://doi.org/10.1007/s12161-011-9216-2	https://doi.org/10.1007/s12161-011-9216-2	PROPN
ecletica-1009	170	3	https://doi.org/10.1007/s12161-011-9216-2	https://doi.org/10.1007/s12161-011-9216-2	PROPN
ecletica-1009	170	4	https://doi.org/10.1007/s12161-011-9216-2	https://doi.org/10.1007/s12161-011-9216-2	PROPN
ecletica-1009	170	5	https://doi.org/10.1007/s12161-011-9216-2	https://doi.org/10.1007/s12161-011-9216-2	PROPN
ecletica-1009	170	6	https://doi.org/10.1007/s12161-011-9216-2	https://doi.org/10.1007/s12161-011-9216-2	PROPN
ecletica-1009	170	7	https://doi.org/10.1007/s12161-011-9216-2	https://doi.org/10.1007/s12161-011-9216-2	PROPN
ecletica-1009	171	1	https://doi.org/10.1007/s00216-006-0971-7	https://doi.org/10.1007/s00216-006-0971-7	NUM
ecletica-1009	171	2	https://doi.org/10.1007/s00216-006-0971-7	https://doi.org/10.1007/s00216-006-0971-7	NUM
ecletica-1009	171	3	https://doi.org/10.1007/s00216-006-0971-7	https://doi.org/10.1007/s00216-006-0971-7	NUM
ecletica-1009	171	4	https://doi.org/10.1007/s00216-006-0971-7	https://doi.org/10.1007/s00216-006-0971-7	NUM
ecletica-1009	171	5	https://doi.org/10.1007/s00216-006-0971-7	https://doi.org/10.1007/s00216-006-0971-7	NUM
ecletica-1009	171	6	https://doi.org/10.1007/s00216-006-0971-7	https://doi.org/10.1007/s00216-006-0971-7	NUM
ecletica-1009	171	7	https://doi.org/10.1007/s00216-006-0971-7	https://doi.org/10.1007/s00216-006-0971-7	PROPN
ecletica-1009	171	8	https://doi.org/10.1039/c0ay00538j	https://doi.org/10.1039/c0ay00538j	PROPN
ecletica-1009	171	9	https://doi.org/10.1039/c0ay00538j	https://doi.org/10.1039/c0ay00538j	PROPN
ecletica-1009	171	10	https://doi.org/10.1039/c0ay00538j	https://doi.org/10.1039/c0ay00538j	PROPN
ecletica-1009	171	11	https://doi.org/10.1039/c0ay00538j	https://doi.org/10.1039/c0ay00538j	PROPN
ecletica-1009	171	12	https://doi.org/10.1039/c0ay00538j	https://doi.org/10.1039/c0ay00538j	PROPN
ecletica-1009	171	13	https://doi.org/10.1039/c0ay00538j	https://doi.org/10.1039/c0ay00538j	ADJ
ecletica-1009	171	14	https://doi.org/10.1016/j.apenergy.2009.12.013	https://doi.org/10.1016/j.apenergy.2009.12.013	PROPN
ecletica-1009	171	15	https://doi.org/10.1016/j.apenergy.2009.12.013	https://doi.org/10.1016/j.apenergy.2009.12.013	PROPN
ecletica-1009	171	16	https://doi.org/10.1016/j.apenergy.2009.12.013	https://doi.org/10.1016/j.apenergy.2009.12.013	PROPN
ecletica-1009	171	17	https://doi.org/10.1016/j.apenergy.2009.12.013	https://doi.org/10.1016/j.apenergy.2009.12.013	PROPN
ecletica-1009	171	18	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	NOUN
ecletica-1009	171	19	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	PROPN
ecletica-1009	171	20	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	PROPN
ecletica-1009	171	21	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	PROPN
ecletica-1009	171	22	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	https://doi.org/10.1016/j.ijthermalsci.2009.04.010	PROPN
ecletica-1009	171	23	https://doi.org/10.1016/0376-7388(94)00314-o	https://doi.org/10.1016/0376-7388(94)00314-o	PROPN
ecletica-1009	171	24	https://doi.org/10.1016/0376-7388(94)00314-o	https://doi.org/10.1016/0376-7388(94)00314-o	PROPN
ecletica-1009	171	25	https://doi.org/10.1016/0376-7388(94)00314-o	https://doi.org/10.1016/0376-7388(94)00314-o	PROPN
ecletica-1009	171	26	https://doi.org/10.1016/0376-7388(94)00314-o	https://doi.org/10.1016/0376-7388(94)00314-o	PROPN
ecletica-1009	171	27	https://doi.org/10.1016/s0266-3538(03)00106-4	https://doi.org/10.1016/s0266-3538(03)00106-4	PROPN
ecletica-1009	172	1	https://doi.org/10.1016/s0266-3538(03)00106-4	https://doi.org/10.1016/s0266-3538(03)00106-4	PROPN
ecletica-1009	173	1	https://doi.org/10.1016/s0266-3538(03)00106-4	https://doi.org/10.1016/s0266-3538(03)00106-4	X
ecletica-1009	174	1	https://doi.org/10.1016/s0266-3538(03)00106-4	https://doi.org/10.1016/s0266-3538(03)00106-4	PROPN
ecletica-1009	174	2	https://doi.org/10.1016/j.jcis.2017.09.055	https://doi.org/10.1016/j.jcis.2017.09.055	VERB
ecletica-1009	174	3	https://doi.org/10.1016/j.jcis.2017.09.055	https://doi.org/10.1016/j.jcis.2017.09.055	NOUN
ecletica-1009	174	4	https://doi.org/10.1016/j.jcis.2017.09.055	https://doi.org/10.1016/j.jcis.2017.09.055	NOUN
ecletica-1009	174	5	https://doi.org/10.1016/j.jcis.2017.09.055	https://doi.org/10.1016/j.jcis.2017.09.055	NOUN
ecletica-1009	174	6	https://doi.org/10.1016/j.jcis.2017.09.055	https://doi.org/10.1016/j.jcis.2017.09.055	NOUN
ecletica-1009	174	7	https://doi.org/10.1016/j.jcis.2017.09.055	https://doi.org/10.1016/j.jcis.2017.09.055	NOUN
ecletica-1009	174	8	https://doi.org/10.1016/j.jcis.2017.09.055	https://doi.org/10.1016/j.jcis.2017.09.055	NOUN
ecletica-1009	174	9	https://doi.org/10.1016/j.jcis.2017.09.055	https://doi.org/10.1016/j.jcis.2017.09.055	VERB
ecletica-1009	174	10	https://doi.org/10.1016/j.measurement.2017.12.006	https://doi.org/10.1016/j.measurement.2017.12.006	NUM
ecletica-1009	174	11	https://doi.org/10.1016/j.measurement.2017.12.006	https://doi.org/10.1016/j.measurement.2017.12.006	NUM
ecletica-1009	174	12	https://doi.org/10.1016/j.measurement.2017.12.006	https://doi.org/10.1016/j.measurement.2017.12.006	NUM
ecletica-1009	174	13	https://doi.org/10.1016/j.measurement.2017.12.006	https://doi.org/10.1016/j.measurement.2017.12.006	NUM
ecletica-1009	174	14	https://doi.org/10.1016/j.measurement.2017.12.006	https://doi.org/10.1016/j.measurement.2017.12.006	ADJ
ecletica-1009	174	15	https://doi.org/10.1016/j.dss.2017.12.007	https://doi.org/10.1016/j.dss.2017.12.007	ADJ
ecletica-1009	174	16	https://doi.org/10.1016/j.dss.2017.12.007	https://doi.org/10.1016/j.dss.2017.12.007	ADJ
ecletica-1009	174	17	https://doi.org/10.1016/j.dss.2017.12.007	https://doi.org/10.1016/j.dss.2017.12.007	ADJ
ecletica-1009	174	18	https://doi.org/10.1016/j.dss.2017.12.007	https://doi.org/10.1016/j.dss.2017.12.007	PROPN
ecletica-1009	174	19	https://doi.org/10.1016/j.dss.2017.12.007	https://doi.org/10.1016/j.dss.2017.12.007	PROPN
ecletica-1009	174	20	https://doi.org/10.1007/s11063-017-9655-x	https://doi.org/10.1007/s11063-017-9655-x	PROPN
ecletica-1009	174	21	https://doi.org/10.1007/s11063-017-9655-x	https://doi.org/10.1007/s11063-017-9655-x	PROPN
ecletica-1009	174	22	https://doi.org/10.1007/s11063-017-9655-x	https://doi.org/10.1007/s11063-017-9655-x	PROPN
ecletica-1009	174	23	https://doi.org/10.1007/s11063-017-9655-x	https://doi.org/10.1007/s11063-017-9655-x	PROPN
ecletica-1009	174	24	https://doi.org/10.1007/s11063-017-9655-x	https://doi.org/10.1007/s11063-017-9655-x	PROPN
ecletica-1009	174	25	https://doi.org/10.1007/s11063-017-9655-x	https://doi.org/10.1007/s11063-017-9655-x	PROPN
ecletica-1009	174	26	https://doi.org/10.1007/s11063-017-9655-x	https://doi.org/10.1007/s11063-017-9655-x	INTJ
ecletica-1009	174	27	https://doi.org/10.1590/2446-4740.05615	https://doi.org/10.1590/2446-4740.05615	NOUN
ecletica-1009	174	28	https://doi.org/10.1590/2446-4740.05615	https://doi.org/10.1590/2446-4740.05615	NOUN
ecletica-1009	174	29	https://doi.org/10.1590/2446-4740.05615	https://doi.org/10.1590/2446-4740.05615	NOUN
ecletica-1009	174	30	https://doi.org/10.1590/2446-4740.05615	https://doi.org/10.1590/2446-4740.05615	NOUN
ecletica-1009	174	31	https://doi.org/10.1590/2446-4740.05615	https://doi.org/10.1590/2446-4740.05615	PROPN
ecletica-1009	174	32	https://doi.org/10.1016/j.talanta.2016.08.022	https://doi.org/10.1016/j.talanta.2016.08.022	PROPN
ecletica-1009	174	33	https://doi.org/10.1016/j.talanta.2016.08.022	https://doi.org/10.1016/j.talanta.2016.08.022	PROPN
ecletica-1009	174	34	https://doi.org/10.1016/j.talanta.2016.08.022	https://doi.org/10.1016/j.talanta.2016.08.022	PROPN
ecletica-1009	174	35	https://doi.org/10.1016/j.talanta.2016.08.022	https://doi.org/10.1016/j.talanta.2016.08.022	PROPN
ecletica-1009	174	36	https://doi.org/10.1016/j.talanta.2016.08.022	https://doi.org/10.1016/j.talanta.2016.08.022	PROPN
ecletica-1009	174	37	https://doi.org/10.1016/j.talanta.2016.08.022	https://doi.org/10.1016/j.talanta.2016.08.022	PROPN
ecletica-1009	174	38	https://doi.org/10.1016/j.biosystemseng.2006.06.001	https://doi.org/10.1016/j.biosystemseng.2006.06.001	PROPN
ecletica-1009	174	39	https://doi.org/10.1016/j.biosystemseng.2006.06.001	https://doi.org/10.1016/j.biosystemseng.2006.06.001	PROPN
ecletica-1009	174	40	https://doi.org/10.1016/j.biosystemseng.2006.06.001	https://doi.org/10.1016/j.biosystemseng.2006.06.001	PROPN
ecletica-1009	174	41	https://doi.org/10.1016/j.biosystemseng.2006.06.001	https://doi.org/10.1016/j.biosystemseng.2006.06.001	NOUN
ecletica-1009	174	42	https://doi.org/10.1016/j.biosystemseng.2006.06.001	https://doi.org/10.1016/j.biosystemseng.2006.06.001	NOUN