id	sid	tid	token	lemma	pos
ajst-16797	1	1	academic	academic	ADJ
ajst-16797	1	2	journal	journal	NOUN
ajst-16797	1	3	of	of	ADP
ajst-16797	1	4	science	science	NOUN
ajst-16797	1	5	and	and	CCONJ
ajst-16797	1	6	technology	technology	NOUN
ajst-16797	1	7	issn	issn	NOUN
ajst-16797	1	8	:	:	PUNCT
ajst-16797	1	9	2771	2771	NUM
ajst-16797	1	10	-	-	SYM
ajst-16797	1	11	3032	3032	NUM
ajst-16797	1	12	|	|	NOUN
ajst-16797	1	13	vol	vol	NOUN
ajst-16797	1	14	.	.	PROPN
ajst-16797	2	1	9	9	NUM
ajst-16797	2	2	,	,	PUNCT
ajst-16797	2	3	no	no	INTJ
ajst-16797	2	4	.	.	NOUN
ajst-16797	2	5	1	1	NUM
ajst-16797	2	6	,	,	PUNCT
ajst-16797	2	7	2024	2024	NUM
ajst-16797	2	8	226	226	NUM
ajst-16797	2	9	image	image	NOUN
ajst-16797	2	10	recognition	recognition	NOUN
ajst-16797	2	11	for	for	ADP
ajst-16797	2	12	fruit‐picking	fruit‐picke	VERB
ajst-16797	2	13	robots	robot	NOUN
ajst-16797	2	14	jianxin	jianxin	PROPN
ajst-16797	2	15	li1	li1	PROPN
ajst-16797	2	16	,	,	PUNCT
ajst-16797	2	17	a	a	DET
ajst-16797	2	18	,	,	PUNCT
ajst-16797	2	19	yibing	yibing	NOUN
ajst-16797	2	20	zhou1	zhou1	NOUN
ajst-16797	2	21	,	,	PUNCT
ajst-16797	2	22	b	b	X
ajst-16797	2	23	,	,	PUNCT
ajst-16797	2	24	zimo	zimo	PROPN
ajst-16797	2	25	gao1	gao1	PROPN
ajst-16797	2	26	,	,	PUNCT
ajst-16797	2	27	c	c	PROPN
ajst-16797	2	28	1school	1school	NUM
ajst-16797	2	29	of	of	ADP
ajst-16797	2	30	electronic	electronic	ADJ
ajst-16797	2	31	information	information	NOUN
ajst-16797	2	32	engineering	engineering	NOUN
ajst-16797	2	33	,	,	PUNCT
ajst-16797	2	34	liaoning	liaoning	PROPN
ajst-16797	2	35	technical	technical	PROPN
ajst-16797	2	36	university	university	PROPN
ajst-16797	2	37	,	,	PUNCT
ajst-16797	2	38	china	china	PROPN
ajst-16797	2	39	a2767101156@qq.com	a2767101156@qq.com	PROPN
ajst-16797	2	40	,	,	PUNCT
ajst-16797	2	41	b2219078335@qq.com	b2219078335@qq.com	X
ajst-16797	2	42	,	,	PUNCT
ajst-16797	2	43	cgzm318426@163.com	cgzm318426@163.com	X
ajst-16797	2	44	abstract	abstract	NOUN
ajst-16797	2	45	:	:	PUNCT
ajst-16797	2	46	this	this	DET
ajst-16797	2	47	summary	summary	NOUN
ajst-16797	2	48	presents	present	VERB
ajst-16797	2	49	the	the	DET
ajst-16797	2	50	solutions	solution	NOUN
ajst-16797	2	51	to	to	ADP
ajst-16797	2	52	the	the	DET
ajst-16797	2	53	five	five	NUM
ajst-16797	2	54	questions	question	NOUN
ajst-16797	2	55	posed	pose	VERB
ajst-16797	2	56	in	in	ADP
ajst-16797	2	57	the	the	DET
ajst-16797	2	58	competition	competition	NOUN
ajst-16797	2	59	regarding	regard	VERB
ajst-16797	2	60	apple	apple	NOUN
ajst-16797	2	61	image	image	NOUN
ajst-16797	2	62	recognition	recognition	NOUN
ajst-16797	2	63	.	.	PUNCT
ajst-16797	3	1	the	the	DET
ajst-16797	3	2	objective	objective	NOUN
ajst-16797	3	3	is	be	AUX
ajst-16797	3	4	to	to	PART
ajst-16797	3	5	establish	establish	VERB
ajst-16797	3	6	a	a	DET
ajst-16797	3	7	robust	robust	ADJ
ajst-16797	3	8	apple	apple	NOUN
ajst-16797	3	9	image	image	NOUN
ajst-16797	3	10	recognition	recognition	NOUN
ajst-16797	3	11	model	model	NOUN
ajst-16797	3	12	that	that	PRON
ajst-16797	3	13	accurately	accurately	ADV
ajst-16797	3	14	counts	count	VERB
ajst-16797	3	15	the	the	DET
ajst-16797	3	16	number	number	NOUN
ajst-16797	3	17	of	of	ADP
ajst-16797	3	18	apples	apple	NOUN
ajst-16797	3	19	,	,	PUNCT
ajst-16797	3	20	estimates	estimate	VERB
ajst-16797	3	21	their	their	PRON
ajst-16797	3	22	positions	position	NOUN
ajst-16797	3	23	,	,	PUNCT
ajst-16797	3	24	determines	determine	VERB
ajst-16797	3	25	their	their	PRON
ajst-16797	3	26	maturity	maturity	NOUN
ajst-16797	3	27	state	state	NOUN
ajst-16797	3	28	,	,	PUNCT
ajst-16797	3	29	calculates	calculate	VERB
ajst-16797	3	30	their	their	PRON
ajst-16797	3	31	masses	masse	NOUN
ajst-16797	3	32	,	,	PUNCT
ajst-16797	3	33	and	and	CCONJ
ajst-16797	3	34	recognizes	recognize	VERB
ajst-16797	3	35	them	they	PRON
ajst-16797	3	36	based	base	VERB
ajst-16797	3	37	on	on	ADP
ajst-16797	3	38	provided	provide	VERB
ajst-16797	3	39	image	image	NOUN
ajst-16797	3	40	datasets	dataset	NOUN
ajst-16797	3	41	.	.	PUNCT
ajst-16797	4	1	the	the	DET
ajst-16797	4	2	specific	specific	ADJ
ajst-16797	4	3	answers	answer	NOUN
ajst-16797	4	4	to	to	ADP
ajst-16797	4	5	each	each	DET
ajst-16797	4	6	question	question	NOUN
ajst-16797	4	7	are	be	AUX
ajst-16797	4	8	as	as	SCONJ
ajst-16797	4	9	follows	follow	VERB
ajst-16797	4	10	:	:	PUNCT
ajst-16797	4	11	using	use	VERB
ajst-16797	4	12	the	the	DET
ajst-16797	4	13	image	image	NOUN
ajst-16797	4	14	dataset	dataset	NOUN
ajst-16797	4	15	of	of	ADP
ajst-16797	4	16	harvest	harvest	NOUN
ajst-16797	4	17	-	-	PUNCT
ajst-16797	4	18	ready	ready	ADJ
ajst-16797	4	19	apples	apple	NOUN
ajst-16797	4	20	provided	provide	VERB
ajst-16797	4	21	in	in	ADP
ajst-16797	4	22	attachment	attachment	NOUN
ajst-16797	4	23	1	1	NUM
ajst-16797	4	24	,	,	PUNCT
ajst-16797	4	25	an	an	DET
ajst-16797	4	26	image	image	NOUN
ajst-16797	4	27	feature	feature	NOUN
ajst-16797	4	28	extraction	extraction	NOUN
ajst-16797	4	29	method	method	NOUN
ajst-16797	4	30	is	be	AUX
ajst-16797	4	31	employed	employ	VERB
ajst-16797	4	32	to	to	PART
ajst-16797	4	33	establish	establish	VERB
ajst-16797	4	34	a	a	DET
ajst-16797	4	35	mathematical	mathematical	ADJ
ajst-16797	4	36	model	model	NOUN
ajst-16797	4	37	for	for	ADP
ajst-16797	4	38	counting	count	VERB
ajst-16797	4	39	the	the	DET
ajst-16797	4	40	number	number	NOUN
ajst-16797	4	41	of	of	ADP
ajst-16797	4	42	apples	apple	NOUN
ajst-16797	4	43	in	in	ADP
ajst-16797	4	44	each	each	DET
ajst-16797	4	45	image	image	NOUN
ajst-16797	4	46	.	.	PUNCT
ajst-16797	5	1	the	the	DET
ajst-16797	5	2	distribution	distribution	NOUN
ajst-16797	5	3	of	of	ADP
ajst-16797	5	4	all	all	DET
ajst-16797	5	5	apples	apple	NOUN
ajst-16797	5	6	in	in	ADP
ajst-16797	5	7	attachment	attachment	NOUN
ajst-16797	5	8	1	1	NUM
ajst-16797	5	9	is	be	AUX
ajst-16797	5	10	then	then	ADV
ajst-16797	5	11	depicted	depict	VERB
ajst-16797	5	12	in	in	ADP
ajst-16797	5	13	a	a	DET
ajst-16797	5	14	histogram	histogram	NOUN
ajst-16797	5	15	.	.	PUNCT
ajst-16797	6	1	the	the	DET
ajst-16797	6	2	precise	precise	ADJ
ajst-16797	6	3	number	number	NOUN
ajst-16797	6	4	of	of	ADP
ajst-16797	6	5	apples	apple	NOUN
ajst-16797	6	6	in	in	ADP
ajst-16797	6	7	each	each	DET
ajst-16797	6	8	image	image	NOUN
ajst-16797	6	9	is	be	AUX
ajst-16797	6	10	determined	determine	VERB
ajst-16797	6	11	,	,	PUNCT
ajst-16797	6	12	enabling	enable	VERB
ajst-16797	6	13	a	a	DET
ajst-16797	6	14	comprehensive	comprehensive	ADJ
ajst-16797	6	15	understanding	understanding	NOUN
ajst-16797	6	16	of	of	ADP
ajst-16797	6	17	the	the	DET
ajst-16797	6	18	dataset	dataset	NOUN
ajst-16797	6	19	.	.	PUNCT
ajst-16797	7	1	utilizing	utilize	VERB
ajst-16797	7	2	the	the	DET
ajst-16797	7	3	image	image	NOUN
ajst-16797	7	4	dataset	dataset	NOUN
ajst-16797	7	5	of	of	ADP
ajst-16797	7	6	harvest	harvest	NOUN
ajst-16797	7	7	-	-	PUNCT
ajst-16797	7	8	ready	ready	ADJ
ajst-16797	7	9	apples	apple	NOUN
ajst-16797	7	10	provided	provide	VERB
ajst-16797	7	11	in	in	ADP
ajst-16797	7	12	attachment	attachment	NOUN
ajst-16797	7	13	1	1	NUM
ajst-16797	7	14	,	,	PUNCT
ajst-16797	7	15	the	the	DET
ajst-16797	7	16	positions	position	NOUN
ajst-16797	7	17	of	of	ADP
ajst-16797	7	18	the	the	DET
ajst-16797	7	19	apples	apple	NOUN
ajst-16797	7	20	in	in	ADP
ajst-16797	7	21	each	each	DET
ajst-16797	7	22	image	image	NOUN
ajst-16797	7	23	are	be	AUX
ajst-16797	7	24	identified	identify	VERB
ajst-16797	7	25	.	.	PUNCT
ajst-16797	8	1	the	the	DET
ajst-16797	8	2	left	left	ADJ
ajst-16797	8	3	bottom	bottom	ADJ
ajst-16797	8	4	corner	corner	NOUN
ajst-16797	8	5	of	of	ADP
ajst-16797	8	6	the	the	DET
ajst-16797	8	7	image	image	NOUN
ajst-16797	8	8	serves	serve	VERB
ajst-16797	8	9	as	as	ADP
ajst-16797	8	10	the	the	DET
ajst-16797	8	11	coordinate	coordinate	NOUN
ajst-16797	8	12	origin	origin	NOUN
ajst-16797	8	13	,	,	PUNCT
ajst-16797	8	14	and	and	CCONJ
ajst-16797	8	15	a	a	DET
ajst-16797	8	16	two	two	NUM
ajst-16797	8	17	-	-	PUNCT
ajst-16797	8	18	dimensional	dimensional	ADJ
ajst-16797	8	19	scatter	scatter	NOUN
ajst-16797	8	20	diagram	diagram	NOUN
ajst-16797	8	21	is	be	AUX
ajst-16797	8	22	created	create	VERB
ajst-16797	8	23	,	,	PUNCT
ajst-16797	8	24	illustrating	illustrate	VERB
ajst-16797	8	25	the	the	DET
ajst-16797	8	26	geometric	geometric	ADJ
ajst-16797	8	27	coordinates	coordinate	NOUN
ajst-16797	8	28	of	of	ADP
ajst-16797	8	29	all	all	DET
ajst-16797	8	30	apples	apple	NOUN
ajst-16797	8	31	in	in	ADP
ajst-16797	8	32	attachment	attachment	NOUN
ajst-16797	8	33	1	1	NUM
ajst-16797	8	34	.	.	PUNCT
ajst-16797	9	1	this	this	DET
ajst-16797	9	2	analysis	analysis	NOUN
ajst-16797	9	3	facilitates	facilitate	VERB
ajst-16797	9	4	the	the	DET
ajst-16797	9	5	visualization	visualization	NOUN
ajst-16797	9	6	of	of	ADP
ajst-16797	9	7	the	the	DET
ajst-16797	9	8	spatial	spatial	ADJ
ajst-16797	9	9	distribution	distribution	NOUN
ajst-16797	9	10	of	of	ADP
ajst-16797	9	11	apples	apple	NOUN
ajst-16797	9	12	within	within	ADP
ajst-16797	9	13	the	the	DET
ajst-16797	9	14	dataset	dataset	NOUN
ajst-16797	9	15	.	.	PUNCT
ajst-16797	10	1	based	base	VERB
ajst-16797	10	2	on	on	ADP
ajst-16797	10	3	the	the	DET
ajst-16797	10	4	image	image	NOUN
ajst-16797	10	5	dataset	dataset	NOUN
ajst-16797	10	6	of	of	ADP
ajst-16797	10	7	harvest	harvest	NOUN
ajst-16797	10	8	-	-	PUNCT
ajst-16797	10	9	ready	ready	ADJ
ajst-16797	10	10	apples	apple	NOUN
ajst-16797	10	11	provided	provide	VERB
ajst-16797	10	12	in	in	ADP
ajst-16797	10	13	attachment	attachment	NOUN
ajst-16797	10	14	1	1	NUM
ajst-16797	10	15	,	,	PUNCT
ajst-16797	10	16	a	a	DET
ajst-16797	10	17	mathematical	mathematical	ADJ
ajst-16797	10	18	model	model	NOUN
ajst-16797	10	19	is	be	AUX
ajst-16797	10	20	developed	develop	VERB
ajst-16797	10	21	to	to	PART
ajst-16797	10	22	assess	assess	VERB
ajst-16797	10	23	the	the	DET
ajst-16797	10	24	maturity	maturity	NOUN
ajst-16797	10	25	state	state	NOUN
ajst-16797	10	26	of	of	ADP
ajst-16797	10	27	apples	apple	NOUN
ajst-16797	10	28	in	in	ADP
ajst-16797	10	29	each	each	DET
ajst-16797	10	30	image	image	NOUN
ajst-16797	10	31	.	.	PUNCT
ajst-16797	11	1	by	by	ADP
ajst-16797	11	2	applying	apply	VERB
ajst-16797	11	3	this	this	DET
ajst-16797	11	4	model	model	NOUN
ajst-16797	11	5	,	,	PUNCT
ajst-16797	11	6	a	a	DET
ajst-16797	11	7	histogram	histogram	NOUN
ajst-16797	11	8	is	be	AUX
ajst-16797	11	9	generated	generate	VERB
ajst-16797	11	10	,	,	PUNCT
ajst-16797	11	11	illustrating	illustrate	VERB
ajst-16797	11	12	the	the	DET
ajst-16797	11	13	distribution	distribution	NOUN
ajst-16797	11	14	of	of	ADP
ajst-16797	11	15	maturity	maturity	NOUN
ajst-16797	11	16	levels	level	NOUN
ajst-16797	11	17	across	across	ADP
ajst-16797	11	18	all	all	DET
ajst-16797	11	19	apples	apple	NOUN
ajst-16797	11	20	in	in	ADP
ajst-16797	11	21	attachment	attachment	NOUN
ajst-16797	11	22	1	1	NUM
ajst-16797	11	23	.	.	PUNCT
ajst-16797	12	1	this	this	DET
ajst-16797	12	2	analysis	analysis	NOUN
ajst-16797	12	3	provides	provide	VERB
ajst-16797	12	4	insights	insight	NOUN
ajst-16797	12	5	into	into	ADP
ajst-16797	12	6	the	the	DET
ajst-16797	12	7	overall	overall	ADJ
ajst-16797	12	8	maturity	maturity	NOUN
ajst-16797	12	9	status	status	NOUN
ajst-16797	12	10	of	of	ADP
ajst-16797	12	11	the	the	DET
ajst-16797	12	12	dataset	dataset	NOUN
ajst-16797	12	13	.	.	PUNCT
ajst-16797	13	1	keywords	keyword	NOUN
ajst-16797	13	2	:	:	PUNCT
ajst-16797	13	3	asia	asia	PROPN
ajst-16797	13	4	and	and	CCONJ
ajst-16797	13	5	pacific	pacific	PROPN
ajst-16797	13	6	mathematical	mathematical	ADJ
ajst-16797	13	7	contest	contest	NOUN
ajst-16797	13	8	in	in	ADP
ajst-16797	13	9	modeling	modeling	NOUN
ajst-16797	13	10	,	,	PUNCT
ajst-16797	13	11	fruit	fruit	NOUN
ajst-16797	13	12	-	-	PUNCT
ajst-16797	13	13	picking	pick	VERB
ajst-16797	13	14	robots	robot	NOUN
ajst-16797	13	15	,	,	PUNCT
ajst-16797	13	16	apple	apple	NOUN
ajst-16797	13	17	recognition	recognition	NOUN
ajst-16797	13	18	,	,	PUNCT
ajst-16797	13	19	image	image	NOUN
ajst-16797	13	20	recognition	recognition	NOUN
ajst-16797	13	21	,	,	PUNCT
ajst-16797	13	22	labor	labor	NOUN
ajst-16797	13	23	shortage	shortage	NOUN
ajst-16797	13	24	,	,	PUNCT
ajst-16797	13	25	obstacle	obstacle	NOUN
ajst-16797	13	26	identification	identification	NOUN
ajst-16797	13	27	,	,	PUNCT
ajst-16797	13	28	maturity	maturity	NOUN
ajst-16797	13	29	estimation	estimation	NOUN
ajst-16797	13	30	,	,	PUNCT
ajst-16797	13	31	mass	mass	NOUN
ajst-16797	13	32	estimation	estimation	NOUN
ajst-16797	13	33	,	,	PUNCT
ajst-16797	13	34	dataset	dataset	NOUN
ajst-16797	13	35	.	.	PUNCT
ajst-16797	14	1	1	1	X
ajst-16797	14	2	.	.	X
ajst-16797	14	3	introduction	introduction	NOUN
ajst-16797	14	4	apple	apple	NOUN
ajst-16797	14	5	harvesting	harvesting	NOUN
ajst-16797	14	6	faces	face	VERB
ajst-16797	14	7	significant	significant	ADJ
ajst-16797	14	8	challenges	challenge	NOUN
ajst-16797	14	9	due	due	ADP
ajst-16797	14	10	to	to	ADP
ajst-16797	14	11	the	the	DET
ajst-16797	14	12	labor	labor	NOUN
ajst-16797	14	13	-	-	PUNCT
ajst-16797	14	14	intensive	intensive	ADJ
ajst-16797	14	15	nature	nature	NOUN
ajst-16797	14	16	of	of	ADP
ajst-16797	14	17	the	the	DET
ajst-16797	14	18	process	process	NOUN
ajst-16797	14	19	and	and	CCONJ
ajst-16797	14	20	a	a	DET
ajst-16797	14	21	shortage	shortage	NOUN
ajst-16797	14	22	of	of	ADP
ajst-16797	14	23	skilled	skilled	ADJ
ajst-16797	14	24	workers	worker	NOUN
ajst-16797	14	25	during	during	ADP
ajst-16797	14	26	peak	peak	NOUN
ajst-16797	14	27	seasons	season	NOUN
ajst-16797	14	28	.	.	PUNCT
ajst-16797	15	1	to	to	PART
ajst-16797	15	2	address	address	VERB
ajst-16797	15	3	this	this	PRON
ajst-16797	15	4	,	,	PUNCT
ajst-16797	15	5	china	china	PROPN
ajst-16797	15	6	has	have	AUX
ajst-16797	15	7	invested	invest	VERB
ajst-16797	15	8	in	in	ADP
ajst-16797	15	9	the	the	DET
ajst-16797	15	10	development	development	NOUN
ajst-16797	15	11	of	of	ADP
ajst-16797	15	12	apple	apple	NOUN
ajst-16797	15	13	-	-	PUNCT
ajst-16797	15	14	picking	pick	VERB
ajst-16797	15	15	robots	robot	NOUN
ajst-16797	15	16	since	since	SCONJ
ajst-16797	15	17	2011	2011	NUM
ajst-16797	15	18	.	.	PUNCT
ajst-16797	16	1	however	however	ADV
ajst-16797	16	2	,	,	PUNCT
ajst-16797	16	3	the	the	DET
ajst-16797	16	4	widespread	widespread	ADJ
ajst-16797	16	5	adoption	adoption	NOUN
ajst-16797	16	6	of	of	ADP
ajst-16797	16	7	these	these	DET
ajst-16797	16	8	robots	robot	NOUN
ajst-16797	16	9	faces	face	VERB
ajst-16797	16	10	hurdles	hurdle	NOUN
ajst-16797	16	11	,	,	PUNCT
ajst-16797	16	12	particularly	particularly	ADV
ajst-16797	16	13	in	in	ADP
ajst-16797	16	14	complex	complex	ADJ
ajst-16797	16	15	orchard	orchard	ADJ
ajst-16797	16	16	environments	environment	NOUN
ajst-16797	16	17	where	where	SCONJ
ajst-16797	16	18	precise	precise	ADJ
ajst-16797	16	19	identification	identification	NOUN
ajst-16797	16	20	of	of	ADP
ajst-16797	16	21	obstacles	obstacle	NOUN
ajst-16797	16	22	and	and	CCONJ
ajst-16797	16	23	fruits	fruit	NOUN
ajst-16797	16	24	is	be	AUX
ajst-16797	16	25	crucial	crucial	ADJ
ajst-16797	16	26	for	for	ADP
ajst-16797	16	27	efficient	efficient	ADJ
ajst-16797	16	28	and	and	CCONJ
ajst-16797	16	29	damage	damage	NOUN
ajst-16797	16	30	-	-	PUNCT
ajst-16797	16	31	free	free	ADJ
ajst-16797	16	32	harvesting	harvesting	NOUN
ajst-16797	16	33	.	.	PUNCT
ajst-16797	17	1	recognizing	recognize	VERB
ajst-16797	17	2	the	the	DET
ajst-16797	17	3	limitations	limitation	NOUN
ajst-16797	17	4	,	,	PUNCT
ajst-16797	17	5	this	this	DET
ajst-16797	17	6	competition	competition	NOUN
ajst-16797	17	7	focuses	focus	VERB
ajst-16797	17	8	on	on	ADP
ajst-16797	17	9	establishing	establish	VERB
ajst-16797	17	10	an	an	DET
ajst-16797	17	11	advanced	advanced	ADJ
ajst-16797	17	12	apple	apple	NOUN
ajst-16797	17	13	image	image	NOUN
ajst-16797	17	14	recognition	recognition	NOUN
ajst-16797	17	15	model	model	NOUN
ajst-16797	17	16	.	.	PUNCT
ajst-16797	18	1	the	the	DET
ajst-16797	18	2	goal	goal	NOUN
ajst-16797	18	3	is	be	AUX
ajst-16797	18	4	to	to	PART
ajst-16797	18	5	achieve	achieve	VERB
ajst-16797	18	6	high	high	ADJ
ajst-16797	18	7	recognition	recognition	NOUN
ajst-16797	18	8	rates	rate	NOUN
ajst-16797	18	9	,	,	PUNCT
ajst-16797	18	10	fast	fast	ADJ
ajst-16797	18	11	processing	processing	NOUN
ajst-16797	18	12	speeds	speed	NOUN
ajst-16797	18	13	,	,	PUNCT
ajst-16797	18	14	and	and	CCONJ
ajst-16797	18	15	accuracy	accuracy	NOUN
ajst-16797	18	16	in	in	ADP
ajst-16797	18	17	tasks	task	NOUN
ajst-16797	18	18	such	such	ADJ
ajst-16797	18	19	as	as	ADP
ajst-16797	18	20	counting	count	VERB
ajst-16797	18	21	apples	apple	NOUN
ajst-16797	18	22	,	,	PUNCT
ajst-16797	18	23	estimating	estimate	VERB
ajst-16797	18	24	positions	position	NOUN
ajst-16797	18	25	,	,	PUNCT
ajst-16797	18	26	assessing	assess	VERB
ajst-16797	18	27	maturity	maturity	NOUN
ajst-16797	18	28	levels	level	NOUN
ajst-16797	18	29	,	,	PUNCT
ajst-16797	18	30	and	and	CCONJ
ajst-16797	18	31	estimating	estimate	VERB
ajst-16797	18	32	masses	masse	NOUN
ajst-16797	18	33	.	.	PUNCT
ajst-16797	19	1	the	the	DET
ajst-16797	19	2	provided	provide	VERB
ajst-16797	19	3	image	image	NOUN
ajst-16797	19	4	datasets	dataset	NOUN
ajst-16797	19	5	(	(	PUNCT
ajst-16797	19	6	attachment	attachment	NOUN
ajst-16797	19	7	1	1	NUM
ajst-16797	19	8	and	and	CCONJ
ajst-16797	19	9	attachment	attachment	NOUN
ajst-16797	19	10	2	2	NUM
ajst-16797	19	11	)	)	PUNCT
ajst-16797	19	12	serve	serve	VERB
ajst-16797	19	13	as	as	ADP
ajst-16797	19	14	the	the	DET
ajst-16797	19	15	foundation	foundation	NOUN
ajst-16797	19	16	for	for	ADP
ajst-16797	19	17	developing	develop	VERB
ajst-16797	19	18	and	and	CCONJ
ajst-16797	19	19	validating	validate	VERB
ajst-16797	19	20	these	these	DET
ajst-16797	19	21	models	model	NOUN
ajst-16797	19	22	.	.	PUNCT
ajst-16797	20	1	2	2	X
ajst-16797	20	2	.	.	X
ajst-16797	20	3	problem	problem	NOUN
ajst-16797	20	4	analysis	analysis	NOUN
ajst-16797	20	5	question	question	NOUN
ajst-16797	20	6	1	1	NUM
ajst-16797	20	7	:	:	PUNCT
ajst-16797	20	8	counting	count	VERB
ajst-16797	20	9	apples	apple	NOUN
ajst-16797	20	10	:	:	PUNCT
ajst-16797	20	11	problem	problem	NOUN
ajst-16797	20	12	analysis	analysis	NOUN
ajst-16797	20	13	:	:	PUNCT
ajst-16797	20	14	the	the	DET
ajst-16797	20	15	task	task	NOUN
ajst-16797	20	16	involves	involve	VERB
ajst-16797	20	17	extracting	extract	VERB
ajst-16797	20	18	image	image	NOUN
ajst-16797	20	19	features	feature	NOUN
ajst-16797	20	20	from	from	ADP
ajst-16797	20	21	the	the	DET
ajst-16797	20	22	provided	provide	VERB
ajst-16797	20	23	dataset	dataset	NOUN
ajst-16797	20	24	of	of	ADP
ajst-16797	20	25	harvest	harvest	NOUN
ajst-16797	20	26	-	-	PUNCT
ajst-16797	20	27	ready	ready	ADJ
ajst-16797	20	28	apples	apple	NOUN
ajst-16797	20	29	,	,	PUNCT
ajst-16797	20	30	establishing	establish	VERB
ajst-16797	20	31	a	a	DET
ajst-16797	20	32	mathematical	mathematical	ADJ
ajst-16797	20	33	model	model	NOUN
ajst-16797	20	34	,	,	PUNCT
ajst-16797	20	35	and	and	CCONJ
ajst-16797	20	36	counting	count	VERB
ajst-16797	20	37	the	the	DET
ajst-16797	20	38	number	number	NOUN
ajst-16797	20	39	of	of	ADP
ajst-16797	20	40	apples	apple	NOUN
ajst-16797	20	41	in	in	ADP
ajst-16797	20	42	each	each	DET
ajst-16797	20	43	image	image	NOUN
ajst-16797	20	44	.	.	PUNCT
ajst-16797	21	1	the	the	DET
ajst-16797	21	2	primary	primary	ADJ
ajst-16797	21	3	challenge	challenge	NOUN
ajst-16797	21	4	lies	lie	VERB
ajst-16797	21	5	in	in	ADP
ajst-16797	21	6	developing	develop	VERB
ajst-16797	21	7	an	an	DET
ajst-16797	21	8	algorithm	algorithm	NOUN
ajst-16797	21	9	that	that	PRON
ajst-16797	21	10	accurately	accurately	ADV
ajst-16797	21	11	identifies	identify	VERB
ajst-16797	21	12	individual	individual	ADJ
ajst-16797	21	13	apples	apple	NOUN
ajst-16797	21	14	amid	amid	ADP
ajst-16797	21	15	variations	variation	NOUN
ajst-16797	21	16	in	in	ADP
ajst-16797	21	17	shape	shape	NOUN
ajst-16797	21	18	,	,	PUNCT
ajst-16797	21	19	color	color	NOUN
ajst-16797	21	20	,	,	PUNCT
ajst-16797	21	21	and	and	CCONJ
ajst-16797	21	22	occlusions	occlusion	NOUN
ajst-16797	21	23	.	.	PUNCT
ajst-16797	22	1	model	model	NOUN
ajst-16797	22	2	hypotheses	hypothesis	NOUN
ajst-16797	22	3	:	:	PUNCT
ajst-16797	22	4	each	each	DET
ajst-16797	22	5	apple	apple	NOUN
ajst-16797	22	6	in	in	ADP
ajst-16797	22	7	the	the	DET
ajst-16797	22	8	image	image	NOUN
ajst-16797	22	9	can	can	AUX
ajst-16797	22	10	be	be	AUX
ajst-16797	22	11	represented	represent	VERB
ajst-16797	22	12	as	as	ADP
ajst-16797	22	13	a	a	DET
ajst-16797	22	14	distinct	distinct	ADJ
ajst-16797	22	15	object	object	NOUN
ajst-16797	22	16	based	base	VERB
ajst-16797	22	17	on	on	ADP
ajst-16797	22	18	color	color	NOUN
ajst-16797	22	19	,	,	PUNCT
ajst-16797	22	20	shape	shape	NOUN
ajst-16797	22	21	,	,	PUNCT
ajst-16797	22	22	and	and	CCONJ
ajst-16797	22	23	size	size	NOUN
ajst-16797	22	24	features	feature	NOUN
ajst-16797	22	25	.	.	PUNCT
ajst-16797	23	1	mathematical	mathematical	ADJ
ajst-16797	23	2	model	model	NOUN
ajst-16797	23	3	:	:	PUNCT
ajst-16797	23	4	utilize	utilize	VERB
ajst-16797	23	5	image	image	NOUN
ajst-16797	23	6	processing	processing	NOUN
ajst-16797	23	7	techniques	technique	NOUN
ajst-16797	23	8	,	,	PUNCT
ajst-16797	23	9	possibly	possibly	ADV
ajst-16797	23	10	employing	employ	VERB
ajst-16797	23	11	contour	contour	NOUN
ajst-16797	23	12	detection	detection	NOUN
ajst-16797	23	13	and	and	CCONJ
ajst-16797	23	14	object	object	VERB
ajst-16797	23	15	segmentation	segmentation	NOUN
ajst-16797	23	16	,	,	PUNCT
ajst-16797	23	17	to	to	PART
ajst-16797	23	18	identify	identify	VERB
ajst-16797	23	19	and	and	CCONJ
ajst-16797	23	20	count	count	VERB
ajst-16797	23	21	individual	individual	ADJ
ajst-16797	23	22	apples	apple	NOUN
ajst-16797	23	23	accurately	accurately	ADV
ajst-16797	23	24	.	.	PUNCT
ajst-16797	24	1	histogram	histogram	NOUN
ajst-16797	24	2	distribution	distribution	NOUN
ajst-16797	24	3	:	:	PUNCT
ajst-16797	24	4	visualizing	visualize	VERB
ajst-16797	24	5	the	the	DET
ajst-16797	24	6	distribution	distribution	NOUN
ajst-16797	24	7	of	of	ADP
ajst-16797	24	8	counted	count	VERB
ajst-16797	24	9	apples	apple	NOUN
ajst-16797	24	10	across	across	ADP
ajst-16797	24	11	all	all	DET
ajst-16797	24	12	images	image	NOUN
ajst-16797	24	13	can	can	AUX
ajst-16797	24	14	provide	provide	VERB
ajst-16797	24	15	insights	insight	NOUN
ajst-16797	24	16	into	into	ADP
ajst-16797	24	17	the	the	DET
ajst-16797	24	18	overall	overall	ADJ
ajst-16797	24	19	dataset	dataset	NOUN
ajst-16797	24	20	.	.	PUNCT
ajst-16797	25	1	question	question	NOUN
ajst-16797	25	2	2	2	NUM
ajst-16797	25	3	:	:	PUNCT
ajst-16797	25	4	estimating	estimate	VERB
ajst-16797	25	5	the	the	DET
ajst-16797	25	6	positions	position	NOUN
ajst-16797	25	7	of	of	ADP
ajst-16797	25	8	apples	apple	NOUN
ajst-16797	25	9	:	:	PUNCT
ajst-16797	25	10	problem	problem	NOUN
ajst-16797	25	11	analysis	analysis	NOUN
ajst-16797	25	12	:	:	PUNCT
ajst-16797	25	13	identifying	identify	VERB
ajst-16797	25	14	the	the	DET
ajst-16797	25	15	spatial	spatial	ADJ
ajst-16797	25	16	positions	position	NOUN
ajst-16797	25	17	of	of	ADP
ajst-16797	25	18	apples	apple	NOUN
ajst-16797	25	19	within	within	ADP
ajst-16797	25	20	each	each	DET
ajst-16797	25	21	image	image	NOUN
ajst-16797	25	22	is	be	AUX
ajst-16797	25	23	essential	essential	ADJ
ajst-16797	25	24	for	for	ADP
ajst-16797	25	25	robot	robot	NOUN
ajst-16797	25	26	guidance	guidance	NOUN
ajst-16797	25	27	.	.	PUNCT
ajst-16797	26	1	the	the	DET
ajst-16797	26	2	challenge	challenge	NOUN
ajst-16797	26	3	lies	lie	VERB
ajst-16797	26	4	in	in	ADP
ajst-16797	26	5	developing	develop	VERB
ajst-16797	26	6	a	a	DET
ajst-16797	26	7	model	model	NOUN
ajst-16797	26	8	that	that	PRON
ajst-16797	26	9	accurately	accurately	ADV
ajst-16797	26	10	captures	capture	VERB
ajst-16797	26	11	the	the	DET
ajst-16797	26	12	geometric	geometric	ADJ
ajst-16797	26	13	coordinates	coordinate	NOUN
ajst-16797	26	14	of	of	ADP
ajst-16797	26	15	apples	apple	NOUN
ajst-16797	26	16	,	,	PUNCT
ajst-16797	26	17	considering	consider	VERB
ajst-16797	26	18	variations	variation	NOUN
ajst-16797	26	19	in	in	ADP
ajst-16797	26	20	orientation	orientation	NOUN
ajst-16797	26	21	and	and	CCONJ
ajst-16797	26	22	location	location	NOUN
ajst-16797	26	23	within	within	ADP
ajst-16797	26	24	the	the	DET
ajst-16797	26	25	image	image	NOUN
ajst-16797	26	26	.	.	PUNCT
ajst-16797	27	1	model	model	NOUN
ajst-16797	27	2	hypotheses	hypothesis	NOUN
ajst-16797	27	3	:	:	PUNCT
ajst-16797	27	4	geometric	geometric	ADJ
ajst-16797	27	5	coordinates	coordinate	NOUN
ajst-16797	27	6	:	:	PUNCT
ajst-16797	27	7	the	the	DET
ajst-16797	27	8	position	position	NOUN
ajst-16797	27	9	of	of	ADP
ajst-16797	27	10	each	each	DET
ajst-16797	27	11	apple	apple	NOUN
ajst-16797	27	12	can	can	AUX
ajst-16797	27	13	be	be	AUX
ajst-16797	27	14	determined	determine	VERB
ajst-16797	27	15	with	with	ADP
ajst-16797	27	16	respect	respect	NOUN
ajst-16797	27	17	to	to	ADP
ajst-16797	27	18	the	the	DET
ajst-16797	27	19	left	left	ADJ
ajst-16797	27	20	bottom	bottom	ADJ
ajst-16797	27	21	corner	corner	NOUN
ajst-16797	27	22	of	of	ADP
ajst-16797	27	23	the	the	DET
ajst-16797	27	24	image	image	NOUN
ajst-16797	27	25	.	.	PUNCT
ajst-16797	28	1	two	two	NUM
ajst-16797	28	2	-	-	PUNCT
ajst-16797	28	3	dimensional	dimensional	ADJ
ajst-16797	28	4	scatter	scatter	NOUN
ajst-16797	28	5	diagram	diagram	NOUN
ajst-16797	28	6	:	:	PUNCT
ajst-16797	28	7	visualizing	visualize	VERB
ajst-16797	28	8	the	the	DET
ajst-16797	28	9	distribution	distribution	NOUN
ajst-16797	28	10	of	of	ADP
ajst-16797	28	11	apple	apple	NOUN
ajst-16797	28	12	positions	position	NOUN
ajst-16797	28	13	can	can	AUX
ajst-16797	28	14	reveal	reveal	VERB
ajst-16797	28	15	patterns	pattern	NOUN
ajst-16797	28	16	and	and	CCONJ
ajst-16797	28	17	aid	aid	NOUN
ajst-16797	28	18	in	in	ADP
ajst-16797	28	19	assessing	assess	VERB
ajst-16797	28	20	the	the	DET
ajst-16797	28	21	model	model	NOUN
ajst-16797	28	22	's	's	PART
ajst-16797	28	23	accuracy	accuracy	NOUN
ajst-16797	28	24	.	.	PUNCT
ajst-16797	29	1	question	question	NOUN
ajst-16797	29	2	3	3	NUM
ajst-16797	29	3	:	:	PUNCT
ajst-16797	29	4	estimating	estimate	VERB
ajst-16797	29	5	the	the	DET
ajst-16797	29	6	maturity	maturity	NOUN
ajst-16797	29	7	state	state	NOUN
ajst-16797	29	8	of	of	ADP
ajst-16797	29	9	apples	apple	NOUN
ajst-16797	29	10	:	:	PUNCT
ajst-16797	29	11	problem	problem	NOUN
ajst-16797	29	12	analysis	analysis	NOUN
ajst-16797	29	13	:	:	PUNCT
ajst-16797	29	14	determining	determine	VERB
ajst-16797	29	15	the	the	DET
ajst-16797	29	16	maturity	maturity	NOUN
ajst-16797	29	17	state	state	NOUN
ajst-16797	29	18	of	of	ADP
ajst-16797	29	19	apples	apple	NOUN
ajst-16797	29	20	is	be	AUX
ajst-16797	29	21	crucial	crucial	ADJ
ajst-16797	29	22	for	for	ADP
ajst-16797	29	23	optimizing	optimize	VERB
ajst-16797	29	24	harvesting	harvesting	NOUN
ajst-16797	29	25	times	time	NOUN
ajst-16797	29	26	.	.	PUNCT
ajst-16797	30	1	the	the	DET
ajst-16797	30	2	challenge	challenge	NOUN
ajst-16797	30	3	involves	involve	VERB
ajst-16797	30	4	developing	develop	VERB
ajst-16797	30	5	a	a	DET
ajst-16797	30	6	model	model	NOUN
ajst-16797	30	7	that	that	PRON
ajst-16797	30	8	accurately	accurately	ADV
ajst-16797	30	9	assesses	assess	VERB
ajst-16797	30	10	the	the	DET
ajst-16797	30	11	maturity	maturity	NOUN
ajst-16797	30	12	level	level	NOUN
ajst-16797	30	13	based	base	VERB
ajst-16797	30	14	on	on	ADP
ajst-16797	30	15	visual	visual	ADJ
ajst-16797	30	16	cues	cue	NOUN
ajst-16797	30	17	in	in	ADP
ajst-16797	30	18	the	the	DET
ajst-16797	30	19	images	image	NOUN
ajst-16797	30	20	.	.	PUNCT
ajst-16797	31	1	model	model	NOUN
ajst-16797	31	2	hypotheses	hypothesis	NOUN
ajst-16797	31	3	:	:	PUNCT
ajst-16797	31	4	color	color	NOUN
ajst-16797	31	5	and	and	CCONJ
ajst-16797	31	6	texture	texture	ADJ
ajst-16797	31	7	analysis	analysis	NOUN
ajst-16797	31	8	:	:	PUNCT
ajst-16797	31	9	maturity	maturity	NOUN
ajst-16797	31	10	can	can	AUX
ajst-16797	31	11	be	be	AUX
ajst-16797	31	12	inferred	infer	VERB
ajst-16797	31	13	from	from	ADP
ajst-16797	31	14	color	color	NOUN
ajst-16797	31	15	changes	change	NOUN
ajst-16797	31	16	and	and	CCONJ
ajst-16797	31	17	surface	surface	NOUN
ajst-16797	31	18	textures	texture	NOUN
ajst-16797	31	19	in	in	ADP
ajst-16797	31	20	the	the	DET
ajst-16797	31	21	images	image	NOUN
ajst-16797	31	22	.	.	PUNCT
ajst-16797	32	1	mathematical	mathematical	ADJ
ajst-16797	32	2	model	model	NOUN
ajst-16797	32	3	:	:	PUNCT
ajst-16797	32	4	develop	develop	VERB
ajst-16797	32	5	an	an	DET
ajst-16797	32	6	algorithm	algorithm	NOUN
ajst-16797	32	7	that	that	PRON
ajst-16797	32	8	quantifies	quantify	VERB
ajst-16797	32	9	these	these	DET
ajst-16797	32	10	visual	visual	ADJ
ajst-16797	32	11	cues	cue	NOUN
ajst-16797	32	12	to	to	PART
ajst-16797	32	13	estimate	estimate	VERB
ajst-16797	32	14	the	the	DET
ajst-16797	32	15	maturity	maturity	NOUN
ajst-16797	32	16	state	state	NOUN
ajst-16797	32	17	.	.	PUNCT
ajst-16797	33	1	histogram	histogram	NOUN
ajst-16797	33	2	of	of	ADP
ajst-16797	33	3	maturity	maturity	NOUN
ajst-16797	33	4	distribution	distribution	NOUN
ajst-16797	33	5	:	:	PUNCT
ajst-16797	33	6	visualizing	visualize	VERB
ajst-16797	33	7	the	the	DET
ajst-16797	33	8	distribution	distribution	NOUN
ajst-16797	33	9	of	of	ADP
ajst-16797	33	10	maturity	maturity	NOUN
ajst-16797	33	11	levels	level	NOUN
ajst-16797	33	12	provides	provide	VERB
ajst-16797	33	13	insights	insight	NOUN
ajst-16797	33	14	into	into	ADP
ajst-16797	33	15	the	the	DET
ajst-16797	33	16	overall	overall	ADJ
ajst-16797	33	17	dataset	dataset	NOUN
ajst-16797	33	18	.	.	PUNCT
ajst-16797	34	1	question	question	NOUN
ajst-16797	34	2	4	4	NUM
ajst-16797	34	3	:	:	PUNCT
ajst-16797	34	4	estimating	estimate	VERB
ajst-16797	34	5	the	the	DET
ajst-16797	34	6	masses	masse	NOUN
ajst-16797	34	7	of	of	ADP
ajst-16797	34	8	apples	apple	NOUN
ajst-16797	34	9	:	:	PUNCT
ajst-16797	34	10	problem	problem	NOUN
ajst-16797	34	11	analysis	analysis	NOUN
ajst-16797	34	12	:	:	PUNCT
ajst-16797	34	13	estimating	estimate	VERB
ajst-16797	34	14	the	the	DET
ajst-16797	34	15	masses	masse	NOUN
ajst-16797	34	16	of	of	ADP
ajst-16797	34	17	apples	apple	NOUN
ajst-16797	34	18	is	be	AUX
ajst-16797	34	19	vital	vital	ADJ
ajst-16797	34	20	for	for	ADP
ajst-16797	34	21	logistical	logistical	ADJ
ajst-16797	34	22	planning	planning	NOUN
ajst-16797	34	23	and	and	CCONJ
ajst-16797	34	24	quality	quality	NOUN
ajst-16797	34	25	control	control	NOUN
ajst-16797	34	26	.	.	PUNCT
ajst-16797	35	1	the	the	DET
ajst-16797	35	2	challenge	challenge	NOUN
ajst-16797	35	3	involves	involve	VERB
ajst-16797	35	4	developing	develop	VERB
ajst-16797	35	5	a	a	DET
ajst-16797	35	6	model	model	NOUN
ajst-16797	35	7	that	that	PRON
ajst-16797	35	8	accurately	accurately	ADV
ajst-16797	35	9	correlates	correlate	VERB
ajst-16797	35	10	twodimensional	twodimensional	ADJ
ajst-16797	35	11	areas	area	NOUN
ajst-16797	35	12	of	of	ADP
ajst-16797	35	13	apples	apple	NOUN
ajst-16797	35	14	with	with	ADP
ajst-16797	35	15	their	their	PRON
ajst-16797	35	16	masses	masse	NOUN
ajst-16797	35	17	.	.	PUNCT
ajst-16797	36	1	227	227	NUM
ajst-16797	36	2	model	model	NOUN
ajst-16797	36	3	hypotheses	hypothesis	NOUN
ajst-16797	36	4	:	:	PUNCT
ajst-16797	36	5	two	two	NUM
ajst-16797	36	6	-	-	PUNCT
ajst-16797	36	7	dimensional	dimensional	ADJ
ajst-16797	36	8	area	area	NOUN
ajst-16797	36	9	calculation	calculation	NOUN
ajst-16797	36	10	:	:	PUNCT
ajst-16797	36	11	use	use	VERB
ajst-16797	36	12	image	image	NOUN
ajst-16797	36	13	processing	processing	NOUN
ajst-16797	36	14	techniques	technique	NOUN
ajst-16797	36	15	to	to	PART
ajst-16797	36	16	calculate	calculate	VERB
ajst-16797	36	17	the	the	DET
ajst-16797	36	18	area	area	NOUN
ajst-16797	36	19	of	of	ADP
ajst-16797	36	20	each	each	DET
ajst-16797	36	21	apple	apple	NOUN
ajst-16797	36	22	.	.	PUNCT
ajst-16797	37	1	mass	mass	PROPN
ajst-16797	37	2	estimation	estimation	NOUN
ajst-16797	37	3	model	model	NOUN
ajst-16797	37	4	:	:	PUNCT
ajst-16797	37	5	develop	develop	VERB
ajst-16797	37	6	a	a	DET
ajst-16797	37	7	correlation	correlation	NOUN
ajst-16797	37	8	between	between	ADP
ajst-16797	37	9	the	the	DET
ajst-16797	37	10	calculated	calculate	VERB
ajst-16797	37	11	areas	area	NOUN
ajst-16797	37	12	and	and	CCONJ
ajst-16797	37	13	actual	actual	ADJ
ajst-16797	37	14	masses	masse	NOUN
ajst-16797	37	15	.	.	PUNCT
ajst-16797	38	1	histogram	histogram	NOUN
ajst-16797	38	2	of	of	ADP
ajst-16797	38	3	mass	mass	ADJ
ajst-16797	38	4	distribution	distribution	NOUN
ajst-16797	38	5	:	:	PUNCT
ajst-16797	38	6	visualizing	visualize	VERB
ajst-16797	38	7	the	the	DET
ajst-16797	38	8	distribution	distribution	NOUN
ajst-16797	38	9	of	of	ADP
ajst-16797	38	10	estimated	estimate	VERB
ajst-16797	38	11	masses	masse	NOUN
ajst-16797	38	12	aids	aid	VERB
ajst-16797	38	13	in	in	ADP
ajst-16797	38	14	quality	quality	NOUN
ajst-16797	38	15	assessment	assessment	NOUN
ajst-16797	38	16	.	.	PUNCT
ajst-16797	39	1	question	question	NOUN
ajst-16797	39	2	5	5	NUM
ajst-16797	39	3	:	:	PUNCT
ajst-16797	39	4	the	the	DET
ajst-16797	39	5	recognition	recognition	NOUN
ajst-16797	39	6	of	of	ADP
ajst-16797	39	7	apples	apple	NOUN
ajst-16797	39	8	:	:	PUNCT
ajst-16797	39	9	problem	problem	NOUN
ajst-16797	39	10	analysis	analysis	NOUN
ajst-16797	39	11	:	:	PUNCT
ajst-16797	39	12	recognizing	recognize	VERB
ajst-16797	39	13	apples	apple	NOUN
ajst-16797	39	14	in	in	ADP
ajst-16797	39	15	a	a	DET
ajst-16797	39	16	broader	broad	ADJ
ajst-16797	39	17	dataset	dataset	NOUN
ajst-16797	39	18	involves	involve	VERB
ajst-16797	39	19	training	train	VERB
ajst-16797	39	20	an	an	DET
ajst-16797	39	21	apple	apple	NOUN
ajst-16797	39	22	recognition	recognition	NOUN
ajst-16797	39	23	model	model	NOUN
ajst-16797	39	24	using	use	VERB
ajst-16797	39	25	a	a	DET
ajst-16797	39	26	separate	separate	ADJ
ajst-16797	39	27	dataset	dataset	NOUN
ajst-16797	39	28	.	.	PUNCT
ajst-16797	40	1	challenges	challenge	NOUN
ajst-16797	40	2	include	include	VERB
ajst-16797	40	3	distinguishing	distinguish	VERB
ajst-16797	40	4	apples	apple	NOUN
ajst-16797	40	5	from	from	ADP
ajst-16797	40	6	other	other	ADJ
ajst-16797	40	7	fruits	fruit	NOUN
ajst-16797	40	8	with	with	ADP
ajst-16797	40	9	similar	similar	ADJ
ajst-16797	40	10	visual	visual	ADJ
ajst-16797	40	11	features	feature	NOUN
ajst-16797	40	12	.	.	PUNCT
ajst-16797	41	1	3	3	X
ajst-16797	41	2	.	.	X
ajst-16797	41	3	problem	problem	NOUN
ajst-16797	41	4	assumption	assumption	NOUN
ajst-16797	41	5	feature	feature	NOUN
ajst-16797	41	6	extraction	extraction	NOUN
ajst-16797	41	7	:	:	PUNCT
ajst-16797	41	8	extract	extract	VERB
ajst-16797	41	9	unique	unique	ADJ
ajst-16797	41	10	features	feature	NOUN
ajst-16797	41	11	from	from	ADP
ajst-16797	41	12	apple	apple	NOUN
ajst-16797	41	13	images	image	NOUN
ajst-16797	41	14	to	to	PART
ajst-16797	41	15	train	train	VERB
ajst-16797	41	16	the	the	DET
ajst-16797	41	17	recognition	recognition	NOUN
ajst-16797	41	18	model	model	NOUN
ajst-16797	41	19	.	.	PUNCT
ajst-16797	42	1	machine	machine	NOUN
ajst-16797	42	2	learning	learning	NOUN
ajst-16797	42	3	:	:	PUNCT
ajst-16797	42	4	utilize	utilize	VERB
ajst-16797	42	5	machine	machine	NOUN
ajst-16797	42	6	learning	learning	NOUN
ajst-16797	42	7	algorithms	algorithm	NOUN
ajst-16797	42	8	,	,	PUNCT
ajst-16797	42	9	possibly	possibly	ADV
ajst-16797	42	10	convolutional	convolutional	ADJ
ajst-16797	42	11	neural	neural	ADJ
ajst-16797	42	12	networks	network	NOUN
ajst-16797	42	13	(	(	PUNCT
ajst-16797	42	14	cnns	cnns	PROPN
ajst-16797	42	15	)	)	PUNCT
ajst-16797	42	16	,	,	PUNCT
ajst-16797	42	17	to	to	PART
ajst-16797	42	18	train	train	VERB
ajst-16797	42	19	the	the	DET
ajst-16797	42	20	model	model	NOUN
ajst-16797	42	21	.	.	PUNCT
ajst-16797	43	1	distribution	distribution	NOUN
ajst-16797	43	2	histogram	histogram	NOUN
ajst-16797	43	3	:	:	PUNCT
ajst-16797	43	4	visualize	visualize	VERB
ajst-16797	43	5	the	the	DET
ajst-16797	43	6	distribution	distribution	NOUN
ajst-16797	43	7	of	of	ADP
ajst-16797	43	8	identified	identify	VERB
ajst-16797	43	9	apples	apple	NOUN
ajst-16797	43	10	to	to	PART
ajst-16797	43	11	assess	assess	VERB
ajst-16797	43	12	the	the	DET
ajst-16797	43	13	model	model	NOUN
ajst-16797	43	14	's	's	PART
ajst-16797	43	15	performance	performance	NOUN
ajst-16797	43	16	.	.	PUNCT
ajst-16797	44	1	this	this	DET
ajst-16797	44	2	comprehensive	comprehensive	ADJ
ajst-16797	44	3	approach	approach	NOUN
ajst-16797	44	4	aims	aim	VERB
ajst-16797	44	5	to	to	PART
ajst-16797	44	6	tackle	tackle	VERB
ajst-16797	44	7	the	the	DET
ajst-16797	44	8	complexities	complexity	NOUN
ajst-16797	44	9	of	of	ADP
ajst-16797	44	10	apple	apple	NOUN
ajst-16797	44	11	image	image	NOUN
ajst-16797	44	12	recognition	recognition	NOUN
ajst-16797	44	13	,	,	PUNCT
ajst-16797	44	14	providing	provide	VERB
ajst-16797	44	15	valuable	valuable	ADJ
ajst-16797	44	16	insights	insight	NOUN
ajst-16797	44	17	for	for	ADP
ajst-16797	44	18	the	the	DET
ajst-16797	44	19	development	development	NOUN
ajst-16797	44	20	of	of	ADP
ajst-16797	44	21	efficient	efficient	ADJ
ajst-16797	44	22	and	and	CCONJ
ajst-16797	44	23	accurate	accurate	ADJ
ajst-16797	44	24	robotic	robotic	ADJ
ajst-16797	44	25	harvesting	harvesting	NOUN
ajst-16797	44	26	systems	system	NOUN
ajst-16797	44	27	.	.	PUNCT
ajst-16797	45	1	4	4	X
ajst-16797	45	2	.	.	X
ajst-16797	45	3	symbol	symbol	NOUN
ajst-16797	45	4	description	description	NOUN
ajst-16797	45	5	symbol	symbol	NOUN
ajst-16797	45	6	explain	explain	VERB
ajst-16797	45	7	x	x	PUNCT
ajst-16797	45	8	data	datum	NOUN
ajst-16797	45	9	matrix	matrix	VERB
ajst-16797	45	10	a	a	DET
ajst-16797	45	11	matrix	matrix	NOUN
ajst-16797	45	12	b	b	NOUN
ajst-16797	45	13	load	load	NOUN
ajst-16797	45	14	matrix	matrix	NOUN
ajst-16797	45	15	π	π	NOUN
ajst-16797	45	16	amount	amount	NOUN
ajst-16797	45	17	𝑈	𝑈	NOUN
ajst-16797	45	18	binding	bind	VERB
ajst-16797	45	19	5	5	NUM
ajst-16797	45	20	.	.	PUNCT
ajst-16797	45	21	establishment	establishment	NOUN
ajst-16797	45	22	and	and	CCONJ
ajst-16797	45	23	solution	solution	NOUN
ajst-16797	45	24	of	of	ADP
ajst-16797	45	25	model	model	NOUN
ajst-16797	45	26	5.1	5.1	NUM
ajst-16797	45	27	.	.	PUNCT
ajst-16797	46	1	question	question	VERB
ajst-16797	46	2	one	one	NUM
ajst-16797	46	3	image	image	NOUN
ajst-16797	46	4	preprocessing	preprocessing	NOUN
ajst-16797	46	5	:	:	PUNCT
ajst-16797	46	6	preprocess	preprocess	VERB
ajst-16797	46	7	the	the	DET
ajst-16797	46	8	images	image	NOUN
ajst-16797	46	9	to	to	PART
ajst-16797	46	10	enhance	enhance	VERB
ajst-16797	46	11	their	their	PRON
ajst-16797	46	12	quality	quality	NOUN
ajst-16797	46	13	and	and	CCONJ
ajst-16797	46	14	remove	remove	VERB
ajst-16797	46	15	any	any	DET
ajst-16797	46	16	noise	noise	NOUN
ajst-16797	46	17	that	that	PRON
ajst-16797	46	18	might	might	AUX
ajst-16797	46	19	interfere	interfere	VERB
ajst-16797	46	20	with	with	ADP
ajst-16797	46	21	the	the	DET
ajst-16797	46	22	apple	apple	NOUN
ajst-16797	46	23	detection	detection	NOUN
ajst-16797	46	24	.	.	PUNCT
ajst-16797	47	1	common	common	ADJ
ajst-16797	47	2	preprocessing	preprocessing	NOUN
ajst-16797	47	3	techniques	technique	NOUN
ajst-16797	47	4	include	include	VERB
ajst-16797	47	5	resizing	resize	VERB
ajst-16797	47	6	,	,	PUNCT
ajst-16797	47	7	denoising	denoising	NOUN
ajst-16797	47	8	,	,	PUNCT
ajst-16797	47	9	and	and	CCONJ
ajst-16797	47	10	contrast	contrast	VERB
ajst-16797	47	11	adjustment	adjustment	NOUN
ajst-16797	47	12	.	.	PUNCT
ajst-16797	48	1	apple	apple	NOUN
ajst-16797	48	2	detection	detection	NOUN
ajst-16797	48	3	:	:	PUNCT
ajst-16797	48	4	apply	apply	VERB
ajst-16797	48	5	an	an	DET
ajst-16797	48	6	object	object	NOUN
ajst-16797	48	7	detection	detection	NOUN
ajst-16797	48	8	algorithm	algorithm	NOUN
ajst-16797	48	9	or	or	CCONJ
ajst-16797	48	10	technique	technique	NOUN
ajst-16797	48	11	to	to	PART
ajst-16797	48	12	locate	locate	VERB
ajst-16797	48	13	and	and	CCONJ
ajst-16797	48	14	identify	identify	VERB
ajst-16797	48	15	apples	apple	NOUN
ajst-16797	48	16	in	in	ADP
ajst-16797	48	17	the	the	DET
ajst-16797	48	18	images	image	NOUN
ajst-16797	48	19	.	.	PUNCT
ajst-16797	49	1	this	this	PRON
ajst-16797	49	2	can	can	AUX
ajst-16797	49	3	be	be	AUX
ajst-16797	49	4	achieved	achieve	VERB
ajst-16797	49	5	using	use	VERB
ajst-16797	49	6	techniques	technique	NOUN
ajst-16797	49	7	like	like	ADP
ajst-16797	49	8	template	template	NOUN
ajst-16797	49	9	matching	matching	NOUN
ajst-16797	49	10	,	,	PUNCT
ajst-16797	49	11	edge	edge	NOUN
ajst-16797	49	12	detection	detection	NOUN
ajst-16797	49	13	,	,	PUNCT
ajst-16797	49	14	or	or	CCONJ
ajst-16797	49	15	machine	machine	NOUN
ajst-16797	49	16	learning	learning	NOUN
ajst-16797	49	17	-	-	PUNCT
ajst-16797	49	18	based	base	VERB
ajst-16797	49	19	object	object	NOUN
ajst-16797	49	20	detection	detection	NOUN
ajst-16797	49	21	algorithms	algorithm	NOUN
ajst-16797	49	22	such	such	ADJ
ajst-16797	49	23	as	as	ADP
ajst-16797	49	24	faster	fast	ADJ
ajst-16797	49	25	r	r	NOUN
ajst-16797	49	26	-	-	PUNCT
ajst-16797	49	27	cnn	cnn	NOUN
ajst-16797	49	28	or	or	CCONJ
ajst-16797	49	29	yolo	yolo	PROPN
ajst-16797	49	30	.	.	PUNCT
ajst-16797	50	1	apple	apple	NOUN
ajst-16797	50	2	counting	counting	NOUN
ajst-16797	50	3	:	:	PUNCT
ajst-16797	50	4	once	once	SCONJ
ajst-16797	50	5	the	the	DET
ajst-16797	50	6	apples	apple	NOUN
ajst-16797	50	7	are	be	AUX
ajst-16797	50	8	detected	detect	VERB
ajst-16797	50	9	,	,	PUNCT
ajst-16797	50	10	count	count	VERB
ajst-16797	50	11	the	the	DET
ajst-16797	50	12	number	number	NOUN
ajst-16797	50	13	of	of	ADP
ajst-16797	50	14	individual	individual	ADJ
ajst-16797	50	15	apple	apple	NOUN
ajst-16797	50	16	instances	instance	NOUN
ajst-16797	50	17	in	in	ADP
ajst-16797	50	18	each	each	DET
ajst-16797	50	19	image	image	NOUN
ajst-16797	50	20	.	.	PUNCT
ajst-16797	51	1	this	this	PRON
ajst-16797	51	2	can	can	AUX
ajst-16797	51	3	be	be	AUX
ajst-16797	51	4	done	do	VERB
ajst-16797	51	5	by	by	ADP
ajst-16797	51	6	applying	apply	VERB
ajst-16797	51	7	a	a	DET
ajst-16797	51	8	counting	counting	NOUN
ajst-16797	51	9	algorithm	algorithm	NOUN
ajst-16797	51	10	,	,	PUNCT
ajst-16797	51	11	such	such	ADJ
ajst-16797	51	12	as	as	ADP
ajst-16797	51	13	connected	connected	ADJ
ajst-16797	51	14	component	component	NOUN
ajst-16797	51	15	analysis	analysis	NOUN
ajst-16797	51	16	or	or	CCONJ
ajst-16797	51	17	contour	contour	NOUN
ajst-16797	51	18	detection	detection	NOUN
ajst-16797	51	19	,	,	PUNCT
ajst-16797	51	20	to	to	PART
ajst-16797	51	21	identify	identify	VERB
ajst-16797	51	22	and	and	CCONJ
ajst-16797	51	23	count	count	VERB
ajst-16797	51	24	distinct	distinct	ADJ
ajst-16797	51	25	objects	object	NOUN
ajst-16797	51	26	representing	represent	VERB
ajst-16797	51	27	apples	apple	NOUN
ajst-16797	51	28	.	.	PUNCT
ajst-16797	52	1	histogram	histogram	NOUN
ajst-16797	52	2	generation	generation	NOUN
ajst-16797	52	3	:	:	PUNCT
ajst-16797	52	4	after	after	ADP
ajst-16797	52	5	counting	count	VERB
ajst-16797	52	6	the	the	DET
ajst-16797	52	7	apples	apple	NOUN
ajst-16797	52	8	in	in	ADP
ajst-16797	52	9	each	each	DET
ajst-16797	52	10	image	image	NOUN
ajst-16797	52	11	,	,	PUNCT
ajst-16797	52	12	create	create	VERB
ajst-16797	52	13	a	a	DET
ajst-16797	52	14	histogram	histogram	NOUN
ajst-16797	52	15	to	to	PART
ajst-16797	52	16	visualize	visualize	VERB
ajst-16797	52	17	the	the	DET
ajst-16797	52	18	distribution	distribution	NOUN
ajst-16797	52	19	of	of	ADP
ajst-16797	52	20	apple	apple	NOUN
ajst-16797	52	21	counts	count	NOUN
ajst-16797	52	22	across	across	ADP
ajst-16797	52	23	all	all	DET
ajst-16797	52	24	the	the	DET
ajst-16797	52	25	images	image	NOUN
ajst-16797	52	26	in	in	ADP
ajst-16797	52	27	attachment	attachment	NOUN
ajst-16797	52	28	1	1	NUM
ajst-16797	52	29	.	.	PUNCT
ajst-16797	53	1	the	the	DET
ajst-16797	53	2	x	x	NOUN
ajst-16797	53	3	-	-	NOUN
ajst-16797	53	4	axis	axis	NOUN
ajst-16797	53	5	of	of	ADP
ajst-16797	53	6	the	the	DET
ajst-16797	53	7	histogram	histogram	NOUN
ajst-16797	53	8	represents	represent	VERB
ajst-16797	53	9	the	the	DET
ajst-16797	53	10	number	number	NOUN
ajst-16797	53	11	of	of	ADP
ajst-16797	53	12	apples	apple	NOUN
ajst-16797	53	13	,	,	PUNCT
ajst-16797	53	14	while	while	SCONJ
ajst-16797	53	15	the	the	DET
ajst-16797	53	16	yaxis	yaxis	NOUN
ajst-16797	53	17	represents	represent	VERB
ajst-16797	53	18	the	the	DET
ajst-16797	53	19	frequency	frequency	NOUN
ajst-16797	53	20	or	or	CCONJ
ajst-16797	53	21	occurrence	occurrence	NOUN
ajst-16797	53	22	of	of	ADP
ajst-16797	53	23	each	each	DET
ajst-16797	53	24	count	count	NOUN
ajst-16797	53	25	.	.	PUNCT
ajst-16797	54	1	5.2	5.2	NUM
ajst-16797	54	2	.	.	PUNCT
ajst-16797	55	1	question	question	NOUN
ajst-16797	55	2	two	two	NUM
ajst-16797	55	3	to	to	PART
ajst-16797	55	4	estimate	estimate	VERB
ajst-16797	55	5	the	the	DET
ajst-16797	55	6	positions	position	NOUN
ajst-16797	55	7	of	of	ADP
ajst-16797	55	8	apples	apple	NOUN
ajst-16797	55	9	in	in	ADP
ajst-16797	55	10	each	each	DET
ajst-16797	55	11	image	image	NOUN
ajst-16797	55	12	from	from	ADP
ajst-16797	55	13	the	the	DET
ajst-16797	55	14	provided	provide	VERB
ajst-16797	55	15	image	image	NOUN
ajst-16797	55	16	dataset	dataset	NOUN
ajst-16797	55	17	,	,	PUNCT
ajst-16797	55	18	we	we	PRON
ajst-16797	55	19	can	can	AUX
ajst-16797	55	20	use	use	VERB
ajst-16797	55	21	computer	computer	NOUN
ajst-16797	55	22	vision	vision	NOUN
ajst-16797	55	23	techniques	technique	NOUN
ajst-16797	55	24	.	.	PUNCT
ajst-16797	56	1	specifically	specifically	ADV
ajst-16797	56	2	,	,	PUNCT
ajst-16797	56	3	we	we	PRON
ajst-16797	56	4	can	can	AUX
ajst-16797	56	5	use	use	VERB
ajst-16797	56	6	object	object	NOUN
ajst-16797	56	7	detection	detection	NOUN
ajst-16797	56	8	algorithms	algorithm	NOUN
ajst-16797	56	9	to	to	PART
ajst-16797	56	10	identify	identify	VERB
ajst-16797	56	11	the	the	DET
ajst-16797	56	12	apples	apple	NOUN
ajst-16797	56	13	and	and	CCONJ
ajst-16797	56	14	determine	determine	VERB
ajst-16797	56	15	their	their	PRON
ajst-16797	56	16	coordinates	coordinate	NOUN
ajst-16797	56	17	in	in	ADP
ajst-16797	56	18	the	the	DET
ajst-16797	56	19	image	image	NOUN
ajst-16797	56	20	.	.	PUNCT
ajst-16797	57	1	one	one	NUM
ajst-16797	57	2	popular	popular	ADJ
ajst-16797	57	3	object	object	NOUN
ajst-16797	57	4	detection	detection	NOUN
ajst-16797	57	5	algorithm	algorithm	NOUN
ajst-16797	57	6	is	be	AUX
ajst-16797	57	7	the	the	DET
ajst-16797	57	8	yolo	yolo	NOUN
ajst-16797	57	9	(	(	PUNCT
ajst-16797	57	10	you	you	PRON
ajst-16797	57	11	only	only	ADV
ajst-16797	57	12	look	look	VERB
ajst-16797	57	13	once	once	ADV
ajst-16797	57	14	)	)	PUNCT
ajst-16797	57	15	algorithm	algorithm	NOUN
ajst-16797	57	16	,	,	PUNCT
ajst-16797	57	17	which	which	PRON
ajst-16797	57	18	can	can	AUX
ajst-16797	57	19	detect	detect	VERB
ajst-16797	57	20	objects	object	NOUN
ajst-16797	57	21	in	in	ADP
ajst-16797	57	22	an	an	DET
ajst-16797	57	23	image	image	NOUN
ajst-16797	57	24	and	and	CCONJ
ajst-16797	57	25	provide	provide	VERB
ajst-16797	57	26	their	their	PRON
ajst-16797	57	27	bounding	bounding	NOUN
ajst-16797	57	28	boxes	box	NOUN
ajst-16797	57	29	,	,	PUNCT
ajst-16797	57	30	including	include	VERB
ajst-16797	57	31	the	the	DET
ajst-16797	57	32	coordinates	coordinate	NOUN
ajst-16797	57	33	of	of	ADP
ajst-16797	57	34	the	the	DET
ajst-16797	57	35	top	top	ADV
ajst-16797	57	36	-	-	PUNCT
ajst-16797	57	37	left	left	ADJ
ajst-16797	57	38	and	and	CCONJ
ajst-16797	57	39	bottom	bottom	ADJ
ajst-16797	57	40	-	-	PUNCT
ajst-16797	57	41	right	right	ADJ
ajst-16797	57	42	corners	corner	NOUN
ajst-16797	57	43	of	of	ADP
ajst-16797	57	44	each	each	DET
ajst-16797	57	45	bounding	bounding	NOUN
ajst-16797	57	46	box	box	NOUN
ajst-16797	57	47	.	.	PUNCT
ajst-16797	58	1	to	to	PART
ajst-16797	58	2	proceed	proceed	VERB
ajst-16797	58	3	with	with	ADP
ajst-16797	58	4	this	this	DET
ajst-16797	58	5	task	task	NOUN
ajst-16797	58	6	,	,	PUNCT
ajst-16797	58	7	we	we	PRON
ajst-16797	58	8	can	can	AUX
ajst-16797	58	9	follow	follow	VERB
ajst-16797	58	10	these	these	DET
ajst-16797	58	11	steps	step	NOUN
ajst-16797	58	12	:	:	PUNCT
ajst-16797	58	13	preprocess	preprocess	NOUN
ajst-16797	58	14	the	the	DET
ajst-16797	58	15	images	image	NOUN
ajst-16797	58	16	:	:	PUNCT
ajst-16797	58	17	before	before	ADP
ajst-16797	58	18	applying	apply	VERB
ajst-16797	58	19	any	any	DET
ajst-16797	58	20	object	object	NOUN
ajst-16797	58	21	detection	detection	NOUN
ajst-16797	58	22	algorithm	algorithm	NOUN
ajst-16797	58	23	,	,	PUNCT
ajst-16797	58	24	we	we	PRON
ajst-16797	58	25	may	may	AUX
ajst-16797	58	26	need	need	VERB
ajst-16797	58	27	to	to	PART
ajst-16797	58	28	preprocess	preprocess	VERB
ajst-16797	58	29	the	the	DET
ajst-16797	58	30	images	image	NOUN
ajst-16797	58	31	to	to	PART
ajst-16797	58	32	enhance	enhance	VERB
ajst-16797	58	33	their	their	PRON
ajst-16797	58	34	quality	quality	NOUN
ajst-16797	58	35	and	and	CCONJ
ajst-16797	58	36	make	make	VERB
ajst-16797	58	37	them	they	PRON
ajst-16797	58	38	more	more	ADV
ajst-16797	58	39	suitable	suitable	ADJ
ajst-16797	58	40	for	for	ADP
ajst-16797	58	41	analysis	analysis	NOUN
ajst-16797	58	42	.	.	PUNCT
ajst-16797	59	1	this	this	PRON
ajst-16797	59	2	can	can	AUX
ajst-16797	59	3	include	include	VERB
ajst-16797	59	4	steps	step	NOUN
ajst-16797	59	5	such	such	ADJ
ajst-16797	59	6	as	as	ADP
ajst-16797	59	7	resizing	resizing	NOUN
ajst-16797	59	8	,	,	PUNCT
ajst-16797	59	9	normalization	normalization	NOUN
ajst-16797	59	10	,	,	PUNCT
ajst-16797	59	11	and	and	CCONJ
ajst-16797	59	12	filtering	filter	VERB
ajst-16797	59	13	to	to	PART
ajst-16797	59	14	remove	remove	VERB
ajst-16797	59	15	noise	noise	NOUN
ajst-16797	59	16	.	.	PUNCT
ajst-16797	60	1	train	train	NOUN
ajst-16797	60	2	or	or	CCONJ
ajst-16797	60	3	use	use	VERB
ajst-16797	60	4	a	a	DET
ajst-16797	60	5	pre	pre	ADJ
ajst-16797	60	6	-	-	ADJ
ajst-16797	60	7	trained	train	VERB
ajst-16797	60	8	object	object	NOUN
ajst-16797	60	9	detection	detection	NOUN
ajst-16797	60	10	model	model	NOUN
ajst-16797	60	11	:	:	PUNCT
ajst-16797	60	12	we	we	PRON
ajst-16797	60	13	can	can	AUX
ajst-16797	60	14	either	either	CCONJ
ajst-16797	60	15	train	train	VERB
ajst-16797	60	16	an	an	DET
ajst-16797	60	17	object	object	NOUN
ajst-16797	60	18	detection	detection	NOUN
ajst-16797	60	19	model	model	NOUN
ajst-16797	60	20	on	on	ADP
ajst-16797	60	21	the	the	DET
ajst-16797	60	22	provided	provide	VERB
ajst-16797	60	23	image	image	NOUN
ajst-16797	60	24	dataset	dataset	VERB
ajst-16797	60	25	specifically	specifically	ADV
ajst-16797	60	26	to	to	PART
ajst-16797	60	27	detect	detect	VERB
ajst-16797	60	28	apples	apple	NOUN
ajst-16797	60	29	or	or	CCONJ
ajst-16797	60	30	use	use	VERB
ajst-16797	60	31	a	a	DET
ajst-16797	60	32	pre	pre	ADJ
ajst-16797	60	33	-	-	ADJ
ajst-16797	60	34	trained	train	VERB
ajst-16797	60	35	model	model	NOUN
ajst-16797	60	36	that	that	PRON
ajst-16797	60	37	has	have	AUX
ajst-16797	60	38	been	be	AUX
ajst-16797	60	39	trained	train	VERB
ajst-16797	60	40	on	on	ADP
ajst-16797	60	41	a	a	DET
ajst-16797	60	42	large	large	ADJ
ajst-16797	60	43	dataset	dataset	NOUN
ajst-16797	60	44	of	of	ADP
ajst-16797	60	45	images	image	NOUN
ajst-16797	60	46	and	and	CCONJ
ajst-16797	60	47	can	can	AUX
ajst-16797	60	48	detect	detect	VERB
ajst-16797	60	49	various	various	ADJ
ajst-16797	60	50	objects	object	NOUN
ajst-16797	60	51	,	,	PUNCT
ajst-16797	60	52	including	include	VERB
ajst-16797	60	53	apples	apple	NOUN
ajst-16797	60	54	.	.	PUNCT
ajst-16797	61	1	apply	apply	VERB
ajst-16797	61	2	the	the	DET
ajst-16797	61	3	object	object	NOUN
ajst-16797	61	4	detection	detection	NOUN
ajst-16797	61	5	model	model	NOUN
ajst-16797	61	6	:	:	PUNCT
ajst-16797	61	7	once	once	SCONJ
ajst-16797	61	8	we	we	PRON
ajst-16797	61	9	have	have	VERB
ajst-16797	61	10	a	a	DET
ajst-16797	61	11	trained	train	VERB
ajst-16797	61	12	or	or	CCONJ
ajst-16797	61	13	pre	pre	ADJ
ajst-16797	61	14	-	-	ADJ
ajst-16797	61	15	trained	train	VERB
ajst-16797	61	16	model	model	NOUN
ajst-16797	61	17	,	,	PUNCT
ajst-16797	61	18	we	we	PRON
ajst-16797	61	19	can	can	AUX
ajst-16797	61	20	apply	apply	VERB
ajst-16797	61	21	it	it	PRON
ajst-16797	61	22	to	to	ADP
ajst-16797	61	23	the	the	DET
ajst-16797	61	24	images	image	NOUN
ajst-16797	61	25	in	in	ADP
ajst-16797	61	26	the	the	DET
ajst-16797	61	27	dataset	dataset	NOUN
ajst-16797	61	28	to	to	PART
ajst-16797	61	29	detect	detect	VERB
ajst-16797	61	30	apples	apple	NOUN
ajst-16797	61	31	and	and	CCONJ
ajst-16797	61	32	obtain	obtain	VERB
ajst-16797	61	33	their	their	PRON
ajst-16797	61	34	bounding	bounding	NOUN
ajst-16797	61	35	boxes	box	NOUN
ajst-16797	61	36	.	.	PUNCT
ajst-16797	62	1	extract	extract	VERB
ajst-16797	62	2	the	the	DET
ajst-16797	62	3	coordinates	coordinate	NOUN
ajst-16797	62	4	of	of	ADP
ajst-16797	62	5	apples	apple	NOUN
ajst-16797	62	6	:	:	PUNCT
ajst-16797	62	7	from	from	ADP
ajst-16797	62	8	the	the	DET
ajst-16797	62	9	bounding	bounding	NOUN
ajst-16797	62	10	boxes	box	NOUN
ajst-16797	62	11	obtained	obtain	VERB
ajst-16797	62	12	in	in	ADP
ajst-16797	62	13	the	the	DET
ajst-16797	62	14	previous	previous	ADJ
ajst-16797	62	15	step	step	NOUN
ajst-16797	62	16	,	,	PUNCT
ajst-16797	62	17	we	we	PRON
ajst-16797	62	18	can	can	AUX
ajst-16797	62	19	extract	extract	VERB
ajst-16797	62	20	the	the	DET
ajst-16797	62	21	coordinates	coordinate	NOUN
ajst-16797	62	22	of	of	ADP
ajst-16797	62	23	the	the	DET
ajst-16797	62	24	top	top	ADV
ajst-16797	62	25	-	-	PUNCT
ajst-16797	62	26	left	left	ADJ
ajst-16797	62	27	and	and	CCONJ
ajst-16797	62	28	bottom	bottom	ADJ
ajst-16797	62	29	-	-	PUNCT
ajst-16797	62	30	right	right	ADJ
ajst-16797	62	31	corners	corner	NOUN
ajst-16797	62	32	of	of	ADP
ajst-16797	62	33	each	each	DET
ajst-16797	62	34	apple	apple	NOUN
ajst-16797	62	35	.	.	PUNCT
ajst-16797	63	1	convert	convert	VERB
ajst-16797	63	2	the	the	DET
ajst-16797	63	3	coordinates	coordinate	NOUN
ajst-16797	63	4	to	to	ADP
ajst-16797	63	5	a	a	DET
ajst-16797	63	6	common	common	ADJ
ajst-16797	63	7	scale	scale	NOUN
ajst-16797	63	8	:	:	PUNCT
ajst-16797	63	9	since	since	SCONJ
ajst-16797	63	10	the	the	DET
ajst-16797	63	11	images	image	NOUN
ajst-16797	63	12	may	may	AUX
ajst-16797	63	13	have	have	VERB
ajst-16797	63	14	different	different	ADJ
ajst-16797	63	15	sizes	size	NOUN
ajst-16797	63	16	and	and	CCONJ
ajst-16797	63	17	aspect	aspect	NOUN
ajst-16797	63	18	ratios	ratio	NOUN
ajst-16797	63	19	,	,	PUNCT
ajst-16797	63	20	we	we	PRON
ajst-16797	63	21	need	need	VERB
ajst-16797	63	22	to	to	PART
ajst-16797	63	23	convert	convert	VERB
ajst-16797	63	24	the	the	DET
ajst-16797	63	25	coordinates	coordinate	NOUN
ajst-16797	63	26	of	of	ADP
ajst-16797	63	27	the	the	DET
ajst-16797	63	28	apples	apple	NOUN
ajst-16797	63	29	to	to	ADP
ajst-16797	63	30	a	a	DET
ajst-16797	63	31	common	common	ADJ
ajst-16797	63	32	scale	scale	NOUN
ajst-16797	63	33	,	,	PUNCT
ajst-16797	63	34	such	such	ADJ
ajst-16797	63	35	as	as	ADP
ajst-16797	63	36	normalizing	normalize	VERB
ajst-16797	63	37	them	they	PRON
ajst-16797	63	38	to	to	ADP
ajst-16797	63	39	a	a	DET
ajst-16797	63	40	range	range	NOUN
ajst-16797	63	41	of	of	ADP
ajst-16797	63	42	[	[	X
ajst-16797	63	43	0	0	NUM
ajst-16797	63	44	,	,	PUNCT
ajst-16797	63	45	1	1	NUM
ajst-16797	63	46	]	]	PUNCT
ajst-16797	63	47	based	base	VERB
ajst-16797	63	48	on	on	ADP
ajst-16797	63	49	the	the	DET
ajst-16797	63	50	image	image	NOUN
ajst-16797	63	51	dimensions	dimension	NOUN
ajst-16797	63	52	.	.	PUNCT
ajst-16797	64	1	create	create	VERB
ajst-16797	64	2	a	a	DET
ajst-16797	64	3	scatter	scatter	NOUN
ajst-16797	64	4	diagram	diagram	NOUN
ajst-16797	64	5	:	:	PUNCT
ajst-16797	64	6	finally	finally	ADV
ajst-16797	64	7	,	,	PUNCT
ajst-16797	64	8	we	we	PRON
ajst-16797	64	9	can	can	AUX
ajst-16797	64	10	use	use	VERB
ajst-16797	64	11	a	a	DET
ajst-16797	64	12	plotting	plot	VERB
ajst-16797	64	13	library	library	NOUN
ajst-16797	64	14	to	to	PART
ajst-16797	64	15	create	create	VERB
ajst-16797	64	16	a	a	DET
ajst-16797	64	17	two	two	NUM
ajst-16797	64	18	-	-	PUNCT
ajst-16797	64	19	dimensional	dimensional	ADJ
ajst-16797	64	20	scatter	scatter	NOUN
ajst-16797	64	21	diagram	diagram	NOUN
ajst-16797	64	22	of	of	ADP
ajst-16797	64	23	the	the	DET
ajst-16797	64	24	geometric	geometric	ADJ
ajst-16797	64	25	coordinates	coordinate	NOUN
ajst-16797	64	26	of	of	ADP
ajst-16797	64	27	all	all	DET
ajst-16797	64	28	apples	apple	NOUN
ajst-16797	64	29	in	in	ADP
ajst-16797	64	30	attachment	attachment	NOUN
ajst-16797	64	31	1	1	NUM
ajst-16797	64	32	,	,	PUNCT
ajst-16797	64	33	with	with	ADP
ajst-16797	64	34	the	the	DET
ajst-16797	64	35	left	left	ADJ
ajst-16797	64	36	bottom	bottom	ADJ
ajst-16797	64	37	corner	corner	NOUN
ajst-16797	64	38	of	of	ADP
ajst-16797	64	39	each	each	DET
ajst-16797	64	40	image	image	NOUN
ajst-16797	64	41	as	as	ADP
ajst-16797	64	42	the	the	DET
ajst-16797	64	43	coordinate	coordinate	NOUN
ajst-16797	64	44	origin	origin	NOUN
ajst-16797	64	45	.	.	PUNCT
ajst-16797	65	1	5.3	5.3	NUM
ajst-16797	65	2	.	.	PUNCT
ajst-16797	65	3	question	question	VERB
ajst-16797	65	4	three	three	NUM
ajst-16797	65	5	background	background	NOUN
ajst-16797	65	6	:	:	PUNCT
ajst-16797	65	7	estimating	estimate	VERB
ajst-16797	65	8	the	the	DET
ajst-16797	65	9	maturity	maturity	NOUN
ajst-16797	65	10	state	state	NOUN
ajst-16797	65	11	of	of	ADP
ajst-16797	65	12	apples	apple	NOUN
ajst-16797	65	13	is	be	AUX
ajst-16797	65	14	a	a	DET
ajst-16797	65	15	critical	critical	ADJ
ajst-16797	65	16	aspect	aspect	NOUN
ajst-16797	65	17	of	of	ADP
ajst-16797	65	18	optimizing	optimize	VERB
ajst-16797	65	19	harvest	harvest	NOUN
ajst-16797	65	20	times	time	NOUN
ajst-16797	65	21	and	and	CCONJ
ajst-16797	65	22	ensuring	ensure	VERB
ajst-16797	65	23	the	the	DET
ajst-16797	65	24	quality	quality	NOUN
ajst-16797	65	25	of	of	ADP
ajst-16797	65	26	the	the	DET
ajst-16797	65	27	produce	produce	NOUN
ajst-16797	65	28	.	.	PUNCT
ajst-16797	66	1	visual	visual	ADJ
ajst-16797	66	2	cues	cue	NOUN
ajst-16797	66	3	such	such	ADJ
ajst-16797	66	4	as	as	ADP
ajst-16797	66	5	color	color	NOUN
ajst-16797	66	6	changes	change	NOUN
ajst-16797	66	7	and	and	CCONJ
ajst-16797	66	8	surface	surface	NOUN
ajst-16797	66	9	textures	texture	NOUN
ajst-16797	66	10	are	be	AUX
ajst-16797	66	11	indicative	indicative	ADJ
ajst-16797	66	12	of	of	ADP
ajst-16797	66	13	maturity	maturity	NOUN
ajst-16797	66	14	levels	level	NOUN
ajst-16797	66	15	.	.	PUNCT
ajst-16797	67	1	in	in	ADP
ajst-16797	67	2	this	this	DET
ajst-16797	67	3	question	question	NOUN
ajst-16797	67	4	,	,	PUNCT
ajst-16797	67	5	the	the	DET
ajst-16797	67	6	objective	objective	NOUN
ajst-16797	67	7	is	be	AUX
ajst-16797	67	8	to	to	PART
ajst-16797	67	9	establish	establish	VERB
ajst-16797	67	10	a	a	DET
ajst-16797	67	11	mathematical	mathematical	ADJ
ajst-16797	67	12	model	model	NOUN
ajst-16797	67	13	to	to	PART
ajst-16797	67	14	quantify	quantify	VERB
ajst-16797	67	15	these	these	DET
ajst-16797	67	16	visual	visual	ADJ
ajst-16797	67	17	cues	cue	NOUN
ajst-16797	67	18	,	,	PUNCT
ajst-16797	67	19	calculate	calculate	VERB
ajst-16797	67	20	the	the	DET
ajst-16797	67	21	maturity	maturity	NOUN
ajst-16797	67	22	of	of	ADP
ajst-16797	67	23	apples	apple	NOUN
ajst-16797	67	24	in	in	ADP
ajst-16797	67	25	each	each	DET
ajst-16797	67	26	image	image	NOUN
ajst-16797	67	27	,	,	PUNCT
ajst-16797	67	28	and	and	CCONJ
ajst-16797	67	29	visualize	visualize	VERB
ajst-16797	67	30	the	the	DET
ajst-16797	67	31	overall	overall	ADJ
ajst-16797	67	32	maturity	maturity	NOUN
ajst-16797	67	33	distribution	distribution	NOUN
ajst-16797	67	34	through	through	ADP
ajst-16797	67	35	a	a	DET
ajst-16797	67	36	histogram	histogram	NOUN
ajst-16797	67	37	.	.	PUNCT
ajst-16797	68	1	problem	problem	NOUN
ajst-16797	68	2	analysis	analysis	NOUN
ajst-16797	68	3	:	:	PUNCT
ajst-16797	68	4	the	the	DET
ajst-16797	68	5	challenge	challenge	NOUN
ajst-16797	68	6	involves	involve	VERB
ajst-16797	68	7	translating	translate	VERB
ajst-16797	68	8	visual	visual	ADJ
ajst-16797	68	9	information	information	NOUN
ajst-16797	68	10	,	,	PUNCT
ajst-16797	68	11	such	such	ADJ
ajst-16797	68	12	as	as	ADP
ajst-16797	68	13	color	color	NOUN
ajst-16797	68	14	variations	variation	NOUN
ajst-16797	68	15	and	and	CCONJ
ajst-16797	68	16	texture	texture	ADJ
ajst-16797	68	17	changes	change	NOUN
ajst-16797	68	18	,	,	PUNCT
ajst-16797	68	19	into	into	ADP
ajst-16797	68	20	a	a	DET
ajst-16797	68	21	quantifiable	quantifiable	ADJ
ajst-16797	68	22	metric	metric	NOUN
ajst-16797	68	23	representing	represent	VERB
ajst-16797	68	24	the	the	DET
ajst-16797	68	25	maturity	maturity	NOUN
ajst-16797	68	26	of	of	ADP
ajst-16797	68	27	apples	apple	NOUN
ajst-16797	68	28	.	.	PUNCT
ajst-16797	69	1	developing	develop	VERB
ajst-16797	69	2	an	an	DET
ajst-16797	69	3	accurate	accurate	ADJ
ajst-16797	69	4	model	model	NOUN
ajst-16797	69	5	requires	require	VERB
ajst-16797	69	6	a	a	DET
ajst-16797	69	7	robust	robust	ADJ
ajst-16797	69	8	understanding	understanding	NOUN
ajst-16797	69	9	of	of	ADP
ajst-16797	69	10	how	how	SCONJ
ajst-16797	69	11	these	these	DET
ajst-16797	69	12	visual	visual	ADJ
ajst-16797	69	13	cues	cue	NOUN
ajst-16797	69	14	correlate	correlate	VERB
ajst-16797	69	15	with	with	ADP
ajst-16797	69	16	the	the	DET
ajst-16797	69	17	actual	actual	ADJ
ajst-16797	69	18	maturity	maturity	NOUN
ajst-16797	69	19	state	state	NOUN
ajst-16797	69	20	.	.	PUNCT
ajst-16797	70	1	model	model	NOUN
ajst-16797	70	2	hypotheses	hypothesis	NOUN
ajst-16797	70	3	:	:	PUNCT
ajst-16797	70	4	228	228	NUM
ajst-16797	70	5	1	1	NUM
ajst-16797	70	6	.	.	PUNCT
ajst-16797	71	1	color	color	NOUN
ajst-16797	71	2	analysis	analysis	NOUN
ajst-16797	71	3	:	:	PUNCT
ajst-16797	71	4	different	different	ADJ
ajst-16797	71	5	stages	stage	NOUN
ajst-16797	71	6	of	of	ADP
ajst-16797	71	7	apple	apple	NOUN
ajst-16797	71	8	maturity	maturity	NOUN
ajst-16797	71	9	exhibit	exhibit	NOUN
ajst-16797	71	10	characteristic	characteristic	ADJ
ajst-16797	71	11	color	color	NOUN
ajst-16797	71	12	changes	change	NOUN
ajst-16797	71	13	.	.	PUNCT
ajst-16797	72	1	color	color	NOUN
ajst-16797	72	2	spaces	space	NOUN
ajst-16797	72	3	such	such	ADJ
ajst-16797	72	4	as	as	ADP
ajst-16797	72	5	rgb	rgb	PROPN
ajst-16797	72	6	or	or	CCONJ
ajst-16797	72	7	hsv	hsv	PROPN
ajst-16797	72	8	can	can	AUX
ajst-16797	72	9	be	be	AUX
ajst-16797	72	10	leveraged	leverage	VERB
ajst-16797	72	11	to	to	PART
ajst-16797	72	12	quantify	quantify	VERB
ajst-16797	72	13	color	color	NOUN
ajst-16797	72	14	variations	variation	NOUN
ajst-16797	72	15	.	.	PUNCT
ajst-16797	73	1	the	the	DET
ajst-16797	73	2	model	model	NOUN
ajst-16797	73	3	should	should	AUX
ajst-16797	73	4	assign	assign	VERB
ajst-16797	73	5	higher	high	ADJ
ajst-16797	73	6	values	value	NOUN
ajst-16797	73	7	to	to	ADP
ajst-16797	73	8	colors	color	NOUN
ajst-16797	73	9	indicative	indicative	ADJ
ajst-16797	73	10	of	of	ADP
ajst-16797	73	11	ripe	ripe	ADJ
ajst-16797	73	12	apples	apple	NOUN
ajst-16797	73	13	.	.	PUNCT
ajst-16797	74	1	2	2	X
ajst-16797	74	2	.	.	X
ajst-16797	74	3	texture	texture	ADJ
ajst-16797	74	4	analysis	analysis	NOUN
ajst-16797	74	5	:	:	PUNCT
ajst-16797	74	6	maturity	maturity	NOUN
ajst-16797	74	7	influences	influence	VERB
ajst-16797	74	8	surface	surface	NOUN
ajst-16797	74	9	textures	texture	NOUN
ajst-16797	74	10	,	,	PUNCT
ajst-16797	74	11	such	such	ADJ
ajst-16797	74	12	as	as	ADP
ajst-16797	74	13	smoothness	smoothness	ADJ
ajst-16797	74	14	or	or	CCONJ
ajst-16797	74	15	roughness	roughness	NOUN
ajst-16797	74	16	.	.	PUNCT
ajst-16797	75	1	texture	texture	ADJ
ajst-16797	75	2	analysis	analysis	NOUN
ajst-16797	75	3	techniques	technique	NOUN
ajst-16797	75	4	,	,	PUNCT
ajst-16797	75	5	like	like	ADP
ajst-16797	75	6	gabor	gabor	PROPN
ajst-16797	75	7	filters	filter	NOUN
ajst-16797	75	8	or	or	CCONJ
ajst-16797	75	9	local	local	ADJ
ajst-16797	75	10	binary	binary	ADJ
ajst-16797	75	11	patterns	pattern	NOUN
ajst-16797	75	12	,	,	PUNCT
ajst-16797	75	13	can	can	AUX
ajst-16797	75	14	be	be	AUX
ajst-16797	75	15	employed	employ	VERB
ajst-16797	75	16	.	.	PUNCT
ajst-16797	76	1	the	the	DET
ajst-16797	76	2	model	model	NOUN
ajst-16797	76	3	should	should	AUX
ajst-16797	76	4	capture	capture	VERB
ajst-16797	76	5	texture	texture	ADJ
ajst-16797	76	6	variations	variation	NOUN
ajst-16797	76	7	associated	associate	VERB
ajst-16797	76	8	with	with	ADP
ajst-16797	76	9	different	different	ADJ
ajst-16797	76	10	maturity	maturity	NOUN
ajst-16797	76	11	levels	level	NOUN
ajst-16797	76	12	.	.	PUNCT
ajst-16797	77	1	3	3	X
ajst-16797	77	2	.	.	X
ajst-16797	77	3	combined	combine	VERB
ajst-16797	77	4	metric	metric	NOUN
ajst-16797	77	5	:	:	PUNCT
ajst-16797	77	6	combining	combine	VERB
ajst-16797	77	7	color	color	NOUN
ajst-16797	77	8	and	and	CCONJ
ajst-16797	77	9	texture	texture	ADJ
ajst-16797	77	10	metrics	metric	NOUN
ajst-16797	77	11	to	to	PART
ajst-16797	77	12	create	create	VERB
ajst-16797	77	13	a	a	DET
ajst-16797	77	14	comprehensive	comprehensive	ADJ
ajst-16797	77	15	maturity	maturity	NOUN
ajst-16797	77	16	index	index	NOUN
ajst-16797	77	17	.	.	PUNCT
ajst-16797	78	1	weighting	weight	VERB
ajst-16797	78	2	factors	factor	NOUN
ajst-16797	78	3	may	may	AUX
ajst-16797	78	4	be	be	AUX
ajst-16797	78	5	applied	apply	VERB
ajst-16797	78	6	based	base	VERB
ajst-16797	78	7	on	on	ADP
ajst-16797	78	8	the	the	DET
ajst-16797	78	9	significance	significance	NOUN
ajst-16797	78	10	of	of	ADP
ajst-16797	78	11	color	color	NOUN
ajst-16797	78	12	and	and	CCONJ
ajst-16797	78	13	texture	texture	NOUN
ajst-16797	78	14	in	in	ADP
ajst-16797	78	15	maturity	maturity	NOUN
ajst-16797	78	16	estimation	estimation	NOUN
ajst-16797	78	17	.	.	PUNCT
ajst-16797	79	1	mathematical	mathematical	ADJ
ajst-16797	79	2	model	model	NOUN
ajst-16797	79	3	:	:	PUNCT
ajst-16797	79	4	adjusting	adjust	VERB
ajst-16797	79	5	the	the	DET
ajst-16797	79	6	weighting	weighting	NOUN
ajst-16797	79	7	factors	factor	NOUN
ajst-16797	79	8	allows	allow	VERB
ajst-16797	79	9	fine	fine	ADV
ajst-16797	79	10	-	-	PUNCT
ajst-16797	79	11	tuning	tune	VERB
ajst-16797	79	12	the	the	DET
ajst-16797	79	13	model	model	NOUN
ajst-16797	79	14	based	base	VERB
ajst-16797	79	15	on	on	ADP
ajst-16797	79	16	the	the	DET
ajst-16797	79	17	importance	importance	NOUN
ajst-16797	79	18	of	of	ADP
ajst-16797	79	19	color	color	NOUN
ajst-16797	79	20	and	and	CCONJ
ajst-16797	79	21	texture	texture	NOUN
ajst-16797	79	22	in	in	ADP
ajst-16797	79	23	the	the	DET
ajst-16797	79	24	specific	specific	ADJ
ajst-16797	79	25	dataset	dataset	NOUN
ajst-16797	79	26	.	.	PUNCT
ajst-16797	80	1	calculation	calculation	NOUN
ajst-16797	80	2	procedure	procedure	NOUN
ajst-16797	80	3	:	:	PUNCT
ajst-16797	80	4	1	1	X
ajst-16797	80	5	.	.	PUNCT
ajst-16797	80	6	color	color	NOUN
ajst-16797	80	7	calculation	calculation	NOUN
ajst-16797	80	8	:	:	PUNCT
ajst-16797	80	9	convert	convert	VERB
ajst-16797	80	10	image	image	NOUN
ajst-16797	80	11	to	to	ADP
ajst-16797	80	12	a	a	DET
ajst-16797	80	13	suitable	suitable	ADJ
ajst-16797	80	14	color	color	NOUN
ajst-16797	80	15	space	space	NOUN
ajst-16797	80	16	(	(	PUNCT
ajst-16797	80	17	e.g.	e.g.	ADV
ajst-16797	80	18	,	,	PUNCT
ajst-16797	80	19	rgb	rgb	PROPN
ajst-16797	80	20	to	to	ADP
ajst-16797	80	21	hsv	hsv	PROPN
ajst-16797	80	22	)	)	PUNCT
ajst-16797	80	23	.	.	PUNCT
ajst-16797	81	1	quantify	quantify	VERB
ajst-16797	81	2	color	color	NOUN
ajst-16797	81	3	variations	variation	NOUN
ajst-16797	81	4	using	use	VERB
ajst-16797	81	5	chosen	choose	VERB
ajst-16797	81	6	metrics	metric	NOUN
ajst-16797	81	7	.	.	PUNCT
ajst-16797	82	1	2	2	X
ajst-16797	82	2	.	.	X
ajst-16797	82	3	texture	texture	ADJ
ajst-16797	82	4	calculation	calculation	NOUN
ajst-16797	82	5	:	:	PUNCT
ajst-16797	82	6	apply	apply	VERB
ajst-16797	82	7	texture	texture	NOUN
ajst-16797	82	8	analysis	analysis	NOUN
ajst-16797	82	9	techniques	technique	NOUN
ajst-16797	82	10	to	to	PART
ajst-16797	82	11	extract	extract	VERB
ajst-16797	82	12	relevant	relevant	ADJ
ajst-16797	82	13	features	feature	NOUN
ajst-16797	82	14	.	.	PUNCT
ajst-16797	83	1	quantify	quantify	VERB
ajst-16797	83	2	texture	texture	ADJ
ajst-16797	83	3	variations	variation	NOUN
ajst-16797	83	4	using	use	VERB
ajst-16797	83	5	chosen	choose	VERB
ajst-16797	83	6	metrics	metric	NOUN
ajst-16797	83	7	.	.	PUNCT
ajst-16797	84	1	3	3	X
ajst-16797	84	2	.	.	X
ajst-16797	84	3	maturity	maturity	NOUN
ajst-16797	84	4	calculation	calculation	NOUN
ajst-16797	84	5	:	:	PUNCT
ajst-16797	84	6	combine	combine	VERB
ajst-16797	84	7	color	color	NOUN
ajst-16797	84	8	and	and	CCONJ
ajst-16797	84	9	texture	texture	ADJ
ajst-16797	84	10	metrics	metric	NOUN
ajst-16797	84	11	using	use	VERB
ajst-16797	84	12	the	the	DET
ajst-16797	84	13	mathematical	mathematical	ADJ
ajst-16797	84	14	model	model	NOUN
ajst-16797	84	15	.	.	PUNCT
ajst-16797	85	1	assign	assign	VERB
ajst-16797	85	2	each	each	DET
ajst-16797	85	3	apple	apple	NOUN
ajst-16797	85	4	a	a	DET
ajst-16797	85	5	maturity	maturity	NOUN
ajst-16797	85	6	value	value	NOUN
ajst-16797	85	7	.	.	PUNCT
ajst-16797	86	1	4	4	X
ajst-16797	86	2	.	.	NOUN
ajst-16797	86	3	histogram	histogram	NOUN
ajst-16797	86	4	visualization	visualization	NOUN
ajst-16797	86	5	:	:	PUNCT
ajst-16797	86	6	create	create	VERB
ajst-16797	86	7	a	a	DET
ajst-16797	86	8	histogram	histogram	NOUN
ajst-16797	86	9	representing	represent	VERB
ajst-16797	86	10	the	the	DET
ajst-16797	86	11	distribution	distribution	NOUN
ajst-16797	86	12	of	of	ADP
ajst-16797	86	13	maturity	maturity	NOUN
ajst-16797	86	14	levels	level	NOUN
ajst-16797	86	15	.	.	PUNCT
ajst-16797	87	1	bins	bin	NOUN
ajst-16797	87	2	in	in	ADP
ajst-16797	87	3	the	the	DET
ajst-16797	87	4	histogram	histogram	NOUN
ajst-16797	87	5	represent	represent	VERB
ajst-16797	87	6	ranges	range	NOUN
ajst-16797	87	7	of	of	ADP
ajst-16797	87	8	maturity	maturity	NOUN
ajst-16797	87	9	values	value	NOUN
ajst-16797	87	10	.	.	PUNCT
ajst-16797	88	1	the	the	DET
ajst-16797	88	2	histogram	histogram	NOUN
ajst-16797	88	3	provides	provide	VERB
ajst-16797	88	4	insights	insight	NOUN
ajst-16797	88	5	into	into	ADP
ajst-16797	88	6	the	the	DET
ajst-16797	88	7	overall	overall	ADJ
ajst-16797	88	8	maturity	maturity	NOUN
ajst-16797	88	9	distribution	distribution	NOUN
ajst-16797	88	10	.	.	PUNCT
ajst-16797	89	1	conclusion	conclusion	NOUN
ajst-16797	89	2	:	:	PUNCT
ajst-16797	89	3	by	by	ADP
ajst-16797	89	4	developing	develop	VERB
ajst-16797	89	5	and	and	CCONJ
ajst-16797	89	6	implementing	implement	VERB
ajst-16797	89	7	this	this	DET
ajst-16797	89	8	mathematical	mathematical	ADJ
ajst-16797	89	9	model	model	NOUN
ajst-16797	89	10	,	,	PUNCT
ajst-16797	89	11	we	we	PRON
ajst-16797	89	12	aim	aim	VERB
ajst-16797	89	13	to	to	PART
ajst-16797	89	14	provide	provide	VERB
ajst-16797	89	15	a	a	DET
ajst-16797	89	16	quantitative	quantitative	ADJ
ajst-16797	89	17	measure	measure	NOUN
ajst-16797	89	18	of	of	ADP
ajst-16797	89	19	apple	apple	NOUN
ajst-16797	89	20	maturity	maturity	NOUN
ajst-16797	89	21	,	,	PUNCT
ajst-16797	89	22	enabling	enable	VERB
ajst-16797	89	23	efficient	efficient	ADJ
ajst-16797	89	24	and	and	CCONJ
ajst-16797	89	25	accurate	accurate	ADJ
ajst-16797	89	26	assessment	assessment	NOUN
ajst-16797	89	27	across	across	ADP
ajst-16797	89	28	the	the	DET
ajst-16797	89	29	entire	entire	ADJ
ajst-16797	89	30	dataset	dataset	NOUN
ajst-16797	89	31	.	.	PUNCT
ajst-16797	90	1	the	the	DET
ajst-16797	90	2	histogram	histogram	NOUN
ajst-16797	90	3	visualization	visualization	NOUN
ajst-16797	90	4	will	will	AUX
ajst-16797	90	5	offer	offer	VERB
ajst-16797	90	6	a	a	DET
ajst-16797	90	7	comprehensive	comprehensive	ADJ
ajst-16797	90	8	view	view	NOUN
ajst-16797	90	9	of	of	ADP
ajst-16797	90	10	maturity	maturity	NOUN
ajst-16797	90	11	distribution	distribution	NOUN
ajst-16797	90	12	,	,	PUNCT
ajst-16797	90	13	aiding	aid	VERB
ajst-16797	90	14	in	in	ADP
ajst-16797	90	15	further	further	ADJ
ajst-16797	90	16	analysis	analysis	NOUN
ajst-16797	90	17	and	and	CCONJ
ajst-16797	90	18	decision	decision	NOUN
ajst-16797	90	19	-	-	PUNCT
ajst-16797	90	20	making	making	NOUN
ajst-16797	90	21	in	in	ADP
ajst-16797	90	22	apple	apple	NOUN
ajst-16797	90	23	harvesting	harvesting	NOUN
ajst-16797	90	24	processes	process	NOUN
ajst-16797	90	25	.	.	PUNCT
ajst-16797	91	1	5.4	5.4	NUM
ajst-16797	91	2	.	.	PUNCT
ajst-16797	92	1	question	question	NOUN
ajst-16797	92	2	four	four	NUM
ajst-16797	92	3	background	background	NOUN
ajst-16797	92	4	:	:	PUNCT
ajst-16797	92	5	estimating	estimate	VERB
ajst-16797	92	6	the	the	DET
ajst-16797	92	7	masses	masse	NOUN
ajst-16797	92	8	of	of	ADP
ajst-16797	92	9	apples	apple	NOUN
ajst-16797	92	10	is	be	AUX
ajst-16797	92	11	a	a	DET
ajst-16797	92	12	crucial	crucial	ADJ
ajst-16797	92	13	aspect	aspect	NOUN
ajst-16797	92	14	of	of	ADP
ajst-16797	92	15	quality	quality	NOUN
ajst-16797	92	16	control	control	NOUN
ajst-16797	92	17	and	and	CCONJ
ajst-16797	92	18	logistical	logistical	ADJ
ajst-16797	92	19	planning	planning	NOUN
ajst-16797	92	20	in	in	ADP
ajst-16797	92	21	the	the	DET
ajst-16797	92	22	apple	apple	NOUN
ajst-16797	92	23	harvesting	harvesting	NOUN
ajst-16797	92	24	process	process	NOUN
ajst-16797	92	25	.	.	PUNCT
ajst-16797	93	1	in	in	ADP
ajst-16797	93	2	this	this	DET
ajst-16797	93	3	question	question	NOUN
ajst-16797	93	4	,	,	PUNCT
ajst-16797	93	5	the	the	DET
ajst-16797	93	6	objective	objective	NOUN
ajst-16797	93	7	is	be	AUX
ajst-16797	93	8	to	to	PART
ajst-16797	93	9	calculate	calculate	VERB
ajst-16797	93	10	the	the	DET
ajst-16797	93	11	twodimensional	twodimensional	ADJ
ajst-16797	93	12	area	area	NOUN
ajst-16797	93	13	of	of	ADP
ajst-16797	93	14	apples	apple	NOUN
ajst-16797	93	15	in	in	ADP
ajst-16797	93	16	each	each	DET
ajst-16797	93	17	image	image	NOUN
ajst-16797	93	18	,	,	PUNCT
ajst-16797	93	19	use	use	VERB
ajst-16797	93	20	this	this	DET
ajst-16797	93	21	information	information	NOUN
ajst-16797	93	22	to	to	PART
ajst-16797	93	23	estimate	estimate	VERB
ajst-16797	93	24	the	the	DET
ajst-16797	93	25	masses	masse	NOUN
ajst-16797	93	26	of	of	ADP
ajst-16797	93	27	the	the	DET
ajst-16797	93	28	apples	apple	NOUN
ajst-16797	93	29	,	,	PUNCT
ajst-16797	93	30	and	and	CCONJ
ajst-16797	93	31	finally	finally	ADV
ajst-16797	93	32	,	,	PUNCT
ajst-16797	93	33	visualize	visualize	VERB
ajst-16797	93	34	the	the	DET
ajst-16797	93	35	distribution	distribution	NOUN
ajst-16797	93	36	of	of	ADP
ajst-16797	93	37	mass	mass	NOUN
ajst-16797	93	38	through	through	ADP
ajst-16797	93	39	a	a	DET
ajst-16797	93	40	histogram	histogram	NOUN
ajst-16797	93	41	.	.	PUNCT
ajst-16797	94	1	problem	problem	NOUN
ajst-16797	94	2	analysis	analysis	NOUN
ajst-16797	94	3	:	:	PUNCT
ajst-16797	94	4	the	the	DET
ajst-16797	94	5	challenge	challenge	NOUN
ajst-16797	94	6	involves	involve	VERB
ajst-16797	94	7	correlating	correlate	VERB
ajst-16797	94	8	the	the	DET
ajst-16797	94	9	two	two	NUM
ajst-16797	94	10	-	-	PUNCT
ajst-16797	94	11	dimensional	dimensional	ADJ
ajst-16797	94	12	area	area	NOUN
ajst-16797	94	13	of	of	ADP
ajst-16797	94	14	apples	apple	NOUN
ajst-16797	94	15	in	in	ADP
ajst-16797	94	16	images	image	NOUN
ajst-16797	94	17	with	with	ADP
ajst-16797	94	18	their	their	PRON
ajst-16797	94	19	actual	actual	ADJ
ajst-16797	94	20	masses	masse	NOUN
ajst-16797	94	21	.	.	PUNCT
ajst-16797	95	1	the	the	DET
ajst-16797	95	2	assumption	assumption	NOUN
ajst-16797	95	3	is	be	AUX
ajst-16797	95	4	that	that	SCONJ
ajst-16797	95	5	the	the	DET
ajst-16797	95	6	area	area	NOUN
ajst-16797	95	7	provides	provide	VERB
ajst-16797	95	8	a	a	DET
ajst-16797	95	9	representative	representative	ADJ
ajst-16797	95	10	measure	measure	NOUN
ajst-16797	95	11	of	of	ADP
ajst-16797	95	12	the	the	DET
ajst-16797	95	13	size	size	NOUN
ajst-16797	95	14	of	of	ADP
ajst-16797	95	15	each	each	DET
ajst-16797	95	16	apple	apple	NOUN
ajst-16797	95	17	,	,	PUNCT
ajst-16797	95	18	and	and	CCONJ
ajst-16797	95	19	this	this	DET
ajst-16797	95	20	information	information	NOUN
ajst-16797	95	21	can	can	AUX
ajst-16797	95	22	be	be	AUX
ajst-16797	95	23	used	use	VERB
ajst-16797	95	24	to	to	PART
ajst-16797	95	25	estimate	estimate	VERB
ajst-16797	95	26	the	the	DET
ajst-16797	95	27	masses	masse	NOUN
ajst-16797	95	28	.	.	PUNCT
ajst-16797	96	1	model	model	NOUN
ajst-16797	96	2	hypotheses	hypothesis	NOUN
ajst-16797	96	3	:	:	PUNCT
ajst-16797	96	4	1	1	NUM
ajst-16797	96	5	.	.	X
ajst-16797	96	6	two	two	NUM
ajst-16797	96	7	-	-	PUNCT
ajst-16797	96	8	dimensional	dimensional	ADJ
ajst-16797	96	9	area	area	NOUN
ajst-16797	96	10	calculation	calculation	NOUN
ajst-16797	96	11	:	:	PUNCT
ajst-16797	96	12	use	use	VERB
ajst-16797	96	13	image	image	NOUN
ajst-16797	96	14	processing	processing	NOUN
ajst-16797	96	15	techniques	technique	NOUN
ajst-16797	96	16	to	to	PART
ajst-16797	96	17	calculate	calculate	VERB
ajst-16797	96	18	the	the	DET
ajst-16797	96	19	area	area	NOUN
ajst-16797	96	20	of	of	ADP
ajst-16797	96	21	each	each	DET
ajst-16797	96	22	apple	apple	NOUN
ajst-16797	96	23	.	.	PUNCT
ajst-16797	97	1	the	the	DET
ajst-16797	97	2	area	area	NOUN
ajst-16797	97	3	can	can	AUX
ajst-16797	97	4	be	be	AUX
ajst-16797	97	5	determined	determine	VERB
ajst-16797	97	6	using	use	VERB
ajst-16797	97	7	pixel	pixel	NOUN
ajst-16797	97	8	counts	count	NOUN
ajst-16797	97	9	or	or	CCONJ
ajst-16797	97	10	geometric	geometric	ADJ
ajst-16797	97	11	methods	method	NOUN
ajst-16797	97	12	.	.	PUNCT
ajst-16797	98	1	the	the	DET
ajst-16797	98	2	bottom	bottom	NOUN
ajst-16797	98	3	left	leave	VERB
ajst-16797	98	4	corner	corner	NOUN
ajst-16797	98	5	of	of	ADP
ajst-16797	98	6	the	the	DET
ajst-16797	98	7	image	image	NOUN
ajst-16797	98	8	serves	serve	VERB
ajst-16797	98	9	as	as	ADP
ajst-16797	98	10	the	the	DET
ajst-16797	98	11	coordinate	coordinate	NOUN
ajst-16797	98	12	origin	origin	NOUN
ajst-16797	98	13	.	.	PUNCT
ajst-16797	99	1	2	2	X
ajst-16797	99	2	.	.	NOUN
ajst-16797	99	3	mass	mass	PROPN
ajst-16797	99	4	estimation	estimation	NOUN
ajst-16797	99	5	model	model	NOUN
ajst-16797	99	6	:	:	PUNCT
ajst-16797	99	7	establish	establish	VERB
ajst-16797	99	8	a	a	DET
ajst-16797	99	9	correlation	correlation	NOUN
ajst-16797	99	10	between	between	ADP
ajst-16797	99	11	the	the	DET
ajst-16797	99	12	calculated	calculated	ADJ
ajst-16797	99	13	twodimensional	twodimensional	ADJ
ajst-16797	99	14	area	area	NOUN
ajst-16797	99	15	and	and	CCONJ
ajst-16797	99	16	actual	actual	ADJ
ajst-16797	99	17	masses	masse	NOUN
ajst-16797	99	18	.	.	PUNCT
ajst-16797	100	1	the	the	DET
ajst-16797	100	2	relationship	relationship	NOUN
ajst-16797	100	3	may	may	AUX
ajst-16797	100	4	be	be	AUX
ajst-16797	100	5	nonlinear	nonlinear	ADJ
ajst-16797	100	6	,	,	PUNCT
ajst-16797	100	7	requiring	require	VERB
ajst-16797	100	8	curve	curve	NOUN
ajst-16797	100	9	fitting	fitting	ADJ
ajst-16797	100	10	or	or	CCONJ
ajst-16797	100	11	machine	machine	NOUN
ajst-16797	100	12	learning	learn	VERB
ajst-16797	100	13	regression	regression	NOUN
ajst-16797	100	14	.	.	PUNCT
ajst-16797	101	1	mathematical	mathematical	ADJ
ajst-16797	101	2	model	model	NOUN
ajst-16797	101	3	:	:	PUNCT
ajst-16797	101	4	calculation	calculation	NOUN
ajst-16797	101	5	procedure	procedure	NOUN
ajst-16797	101	6	:	:	PUNCT
ajst-16797	101	7	1	1	NUM
ajst-16797	101	8	.	.	X
ajst-16797	101	9	two	two	NUM
ajst-16797	101	10	-	-	PUNCT
ajst-16797	101	11	dimensional	dimensional	ADJ
ajst-16797	101	12	area	area	NOUN
ajst-16797	101	13	calculation	calculation	NOUN
ajst-16797	101	14	:	:	PUNCT
ajst-16797	101	15	employ	employ	VERB
ajst-16797	101	16	image	image	NOUN
ajst-16797	101	17	processing	processing	NOUN
ajst-16797	101	18	techniques	technique	NOUN
ajst-16797	101	19	to	to	PART
ajst-16797	101	20	calculate	calculate	VERB
ajst-16797	101	21	the	the	DET
ajst-16797	101	22	area	area	NOUN
ajst-16797	101	23	of	of	ADP
ajst-16797	101	24	each	each	DET
ajst-16797	101	25	apple	apple	NOUN
ajst-16797	101	26	.	.	PUNCT
ajst-16797	102	1	pixel	pixel	PROPN
ajst-16797	102	2	counts	count	NOUN
ajst-16797	102	3	or	or	CCONJ
ajst-16797	102	4	geometric	geometric	ADJ
ajst-16797	102	5	methods	method	NOUN
ajst-16797	102	6	can	can	AUX
ajst-16797	102	7	be	be	AUX
ajst-16797	102	8	used	use	VERB
ajst-16797	102	9	depending	depend	VERB
ajst-16797	102	10	on	on	ADP
ajst-16797	102	11	the	the	DET
ajst-16797	102	12	specific	specific	ADJ
ajst-16797	102	13	requirements	requirement	NOUN
ajst-16797	102	14	.	.	PUNCT
ajst-16797	103	1	2	2	X
ajst-16797	103	2	.	.	X
ajst-16797	103	3	mass	mass	PROPN
ajst-16797	103	4	estimation	estimation	NOUN
ajst-16797	103	5	:	:	PUNCT
ajst-16797	103	6	use	use	VERB
ajst-16797	103	7	the	the	DET
ajst-16797	103	8	established	establish	VERB
ajst-16797	103	9	mathematical	mathematical	ADJ
ajst-16797	103	10	model	model	NOUN
ajst-16797	103	11	to	to	PART
ajst-16797	103	12	estimate	estimate	VERB
ajst-16797	103	13	the	the	DET
ajst-16797	103	14	mass	mass	NOUN
ajst-16797	103	15	of	of	ADP
ajst-16797	103	16	each	each	DET
ajst-16797	103	17	apple	apple	NOUN
ajst-16797	103	18	.	.	PUNCT
ajst-16797	104	1	3	3	X
ajst-16797	104	2	.	.	NOUN
ajst-16797	104	3	histogram	histogram	NOUN
ajst-16797	104	4	visualization	visualization	NOUN
ajst-16797	104	5	:	:	PUNCT
ajst-16797	104	6	create	create	VERB
ajst-16797	104	7	a	a	DET
ajst-16797	104	8	histogram	histogram	NOUN
ajst-16797	104	9	representing	represent	VERB
ajst-16797	104	10	the	the	DET
ajst-16797	104	11	distribution	distribution	NOUN
ajst-16797	104	12	of	of	ADP
ajst-16797	104	13	estimated	estimate	VERB
ajst-16797	104	14	masses	masse	NOUN
ajst-16797	104	15	.	.	PUNCT
ajst-16797	105	1	bins	bin	NOUN
ajst-16797	105	2	in	in	ADP
ajst-16797	105	3	the	the	DET
ajst-16797	105	4	histogram	histogram	NOUN
ajst-16797	105	5	represent	represent	VERB
ajst-16797	105	6	ranges	range	NOUN
ajst-16797	105	7	of	of	ADP
ajst-16797	105	8	mass	mass	ADJ
ajst-16797	105	9	values	value	NOUN
ajst-16797	105	10	.	.	PUNCT
ajst-16797	106	1	the	the	DET
ajst-16797	106	2	histogram	histogram	NOUN
ajst-16797	106	3	provides	provide	VERB
ajst-16797	106	4	insights	insight	NOUN
ajst-16797	106	5	into	into	ADP
ajst-16797	106	6	the	the	DET
ajst-16797	106	7	overall	overall	ADJ
ajst-16797	106	8	mass	mass	ADJ
ajst-16797	106	9	distribution	distribution	NOUN
ajst-16797	106	10	.	.	PUNCT
ajst-16797	107	1	conclusion	conclusion	NOUN
ajst-16797	107	2	:	:	PUNCT
ajst-16797	107	3	by	by	ADP
ajst-16797	107	4	implementing	implement	VERB
ajst-16797	107	5	this	this	DET
ajst-16797	107	6	mathematical	mathematical	ADJ
ajst-16797	107	7	model	model	NOUN
ajst-16797	107	8	,	,	PUNCT
ajst-16797	107	9	we	we	PRON
ajst-16797	107	10	aim	aim	VERB
ajst-16797	107	11	to	to	PART
ajst-16797	107	12	estimate	estimate	VERB
ajst-16797	107	13	the	the	DET
ajst-16797	107	14	masses	masse	NOUN
ajst-16797	107	15	of	of	ADP
ajst-16797	107	16	apples	apple	NOUN
ajst-16797	107	17	based	base	VERB
ajst-16797	107	18	on	on	ADP
ajst-16797	107	19	their	their	PRON
ajst-16797	107	20	two	two	NUM
ajst-16797	107	21	-	-	PUNCT
ajst-16797	107	22	dimensional	dimensional	ADJ
ajst-16797	107	23	areas	area	NOUN
ajst-16797	107	24	,	,	PUNCT
ajst-16797	107	25	providing	provide	VERB
ajst-16797	107	26	a	a	DET
ajst-16797	107	27	quantitative	quantitative	ADJ
ajst-16797	107	28	measure	measure	NOUN
ajst-16797	107	29	that	that	PRON
ajst-16797	107	30	can	can	AUX
ajst-16797	107	31	be	be	AUX
ajst-16797	107	32	useful	useful	ADJ
ajst-16797	107	33	for	for	ADP
ajst-16797	107	34	quality	quality	NOUN
ajst-16797	107	35	assessment	assessment	NOUN
ajst-16797	107	36	and	and	CCONJ
ajst-16797	107	37	logistical	logistical	ADJ
ajst-16797	107	38	planning	planning	NOUN
ajst-16797	107	39	.	.	PUNCT
ajst-16797	108	1	the	the	DET
ajst-16797	108	2	resulting	result	VERB
ajst-16797	108	3	229	229	NUM
ajst-16797	108	4	histogram	histogram	NOUN
ajst-16797	108	5	visualization	visualization	NOUN
ajst-16797	108	6	offers	offer	VERB
ajst-16797	108	7	a	a	DET
ajst-16797	108	8	comprehensive	comprehensive	ADJ
ajst-16797	108	9	view	view	NOUN
ajst-16797	108	10	of	of	ADP
ajst-16797	108	11	the	the	DET
ajst-16797	108	12	distribution	distribution	NOUN
ajst-16797	108	13	of	of	ADP
ajst-16797	108	14	estimated	estimate	VERB
ajst-16797	108	15	masses	masse	NOUN
ajst-16797	108	16	across	across	ADP
ajst-16797	108	17	the	the	DET
ajst-16797	108	18	dataset	dataset	NOUN
ajst-16797	108	19	.	.	PUNCT
ajst-16797	109	1	5.5	5.5	NUM
ajst-16797	109	2	.	.	PUNCT
ajst-16797	110	1	question	question	NOUN
ajst-16797	110	2	five	five	NUM
ajst-16797	110	3	image	image	NOUN
ajst-16797	110	4	preprocessing	preprocessing	NOUN
ajst-16797	110	5	:	:	PUNCT
ajst-16797	110	6	preprocess	preprocess	VERB
ajst-16797	110	7	the	the	DET
ajst-16797	110	8	images	image	NOUN
ajst-16797	110	9	in	in	ADP
ajst-16797	110	10	attachments	attachment	NOUN
ajst-16797	110	11	2	2	NUM
ajst-16797	110	12	and	and	CCONJ
ajst-16797	110	13	3	3	NUM
ajst-16797	110	14	to	to	PART
ajst-16797	110	15	enhance	enhance	VERB
ajst-16797	110	16	their	their	PRON
ajst-16797	110	17	quality	quality	NOUN
ajst-16797	110	18	,	,	PUNCT
ajst-16797	110	19	normalize	normalize	VERB
ajst-16797	110	20	the	the	DET
ajst-16797	110	21	colors	color	NOUN
ajst-16797	110	22	,	,	PUNCT
ajst-16797	110	23	and	and	CCONJ
ajst-16797	110	24	resize	resize	VERB
ajst-16797	110	25	them	they	PRON
ajst-16797	110	26	to	to	ADP
ajst-16797	110	27	a	a	DET
ajst-16797	110	28	consistent	consistent	ADJ
ajst-16797	110	29	size	size	NOUN
ajst-16797	110	30	.	.	PUNCT
ajst-16797	111	1	this	this	DET
ajst-16797	111	2	step	step	NOUN
ajst-16797	111	3	ensures	ensure	VERB
ajst-16797	111	4	that	that	SCONJ
ajst-16797	111	5	the	the	DET
ajst-16797	111	6	images	image	NOUN
ajst-16797	111	7	are	be	AUX
ajst-16797	111	8	in	in	ADP
ajst-16797	111	9	a	a	DET
ajst-16797	111	10	suitable	suitable	ADJ
ajst-16797	111	11	format	format	NOUN
ajst-16797	111	12	for	for	ADP
ajst-16797	111	13	feature	feature	NOUN
ajst-16797	111	14	extraction	extraction	NOUN
ajst-16797	111	15	and	and	CCONJ
ajst-16797	111	16	model	model	NOUN
ajst-16797	111	17	training	training	NOUN
ajst-16797	111	18	.	.	PUNCT
ajst-16797	112	1	feature	feature	NOUN
ajst-16797	112	2	extraction	extraction	NOUN
ajst-16797	112	3	:	:	PUNCT
ajst-16797	112	4	extract	extract	VERB
ajst-16797	112	5	relevant	relevant	ADJ
ajst-16797	112	6	features	feature	NOUN
ajst-16797	112	7	from	from	ADP
ajst-16797	112	8	the	the	DET
ajst-16797	112	9	preprocessed	preprocesse	VERB
ajst-16797	112	10	images	image	NOUN
ajst-16797	112	11	.	.	PUNCT
ajst-16797	113	1	common	common	ADJ
ajst-16797	113	2	approaches	approach	NOUN
ajst-16797	113	3	include	include	VERB
ajst-16797	113	4	using	use	VERB
ajst-16797	113	5	deep	deep	ADJ
ajst-16797	113	6	learning	learning	NOUN
ajst-16797	113	7	-	-	PUNCT
ajst-16797	113	8	based	base	VERB
ajst-16797	113	9	methods	method	NOUN
ajst-16797	113	10	like	like	ADP
ajst-16797	113	11	convolutional	convolutional	ADJ
ajst-16797	113	12	neural	neural	ADJ
ajst-16797	113	13	networks	network	NOUN
ajst-16797	113	14	(	(	PUNCT
ajst-16797	113	15	cnns	cnns	PROPN
ajst-16797	113	16	)	)	PUNCT
ajst-16797	113	17	to	to	PART
ajst-16797	113	18	automatically	automatically	ADV
ajst-16797	113	19	learn	learn	VERB
ajst-16797	113	20	discriminative	discriminative	NOUN
ajst-16797	113	21	features	feature	NOUN
ajst-16797	113	22	from	from	ADP
ajst-16797	113	23	the	the	DET
ajst-16797	113	24	images	image	NOUN
ajst-16797	113	25	.	.	PUNCT
ajst-16797	114	1	this	this	DET
ajst-16797	114	2	step	step	NOUN
ajst-16797	114	3	aims	aim	VERB
ajst-16797	114	4	to	to	PART
ajst-16797	114	5	capture	capture	VERB
ajst-16797	114	6	the	the	DET
ajst-16797	114	7	distinctive	distinctive	ADJ
ajst-16797	114	8	characteristics	characteristic	NOUN
ajst-16797	114	9	of	of	ADP
ajst-16797	114	10	the	the	DET
ajst-16797	114	11	apple	apple	NOUN
ajst-16797	114	12	images	image	NOUN
ajst-16797	114	13	.	.	PUNCT
ajst-16797	115	1	dataset	dataset	NOUN
ajst-16797	115	2	split	split	NOUN
ajst-16797	115	3	:	:	PUNCT
ajst-16797	115	4	split	split	VERB
ajst-16797	115	5	the	the	DET
ajst-16797	115	6	dataset	dataset	NOUN
ajst-16797	115	7	in	in	ADP
ajst-16797	115	8	attachment	attachment	NOUN
ajst-16797	115	9	2	2	NUM
ajst-16797	115	10	into	into	ADP
ajst-16797	115	11	training	training	NOUN
ajst-16797	115	12	and	and	CCONJ
ajst-16797	115	13	validation	validation	NOUN
ajst-16797	115	14	sets	set	NOUN
ajst-16797	115	15	.	.	PUNCT
ajst-16797	116	1	the	the	DET
ajst-16797	116	2	training	training	NOUN
ajst-16797	116	3	set	set	NOUN
ajst-16797	116	4	will	will	AUX
ajst-16797	116	5	be	be	AUX
ajst-16797	116	6	used	use	VERB
ajst-16797	116	7	to	to	PART
ajst-16797	116	8	train	train	VERB
ajst-16797	116	9	the	the	DET
ajst-16797	116	10	apple	apple	NOUN
ajst-16797	116	11	recognition	recognition	NOUN
ajst-16797	116	12	model	model	NOUN
ajst-16797	116	13	,	,	PUNCT
ajst-16797	116	14	while	while	SCONJ
ajst-16797	116	15	the	the	DET
ajst-16797	116	16	validation	validation	NOUN
ajst-16797	116	17	set	set	NOUN
ajst-16797	116	18	will	will	AUX
ajst-16797	116	19	be	be	AUX
ajst-16797	116	20	used	use	VERB
ajst-16797	116	21	to	to	PART
ajst-16797	116	22	evaluate	evaluate	VERB
ajst-16797	116	23	its	its	PRON
ajst-16797	116	24	performance	performance	NOUN
ajst-16797	116	25	.	.	PUNCT
ajst-16797	117	1	model	model	NOUN
ajst-16797	117	2	training	training	NOUN
ajst-16797	117	3	:	:	PUNCT
ajst-16797	117	4	train	train	VERB
ajst-16797	117	5	an	an	DET
ajst-16797	117	6	apple	apple	NOUN
ajst-16797	117	7	recognition	recognition	NOUN
ajst-16797	117	8	model	model	NOUN
ajst-16797	117	9	using	use	VERB
ajst-16797	117	10	the	the	DET
ajst-16797	117	11	extracted	extract	VERB
ajst-16797	117	12	image	image	NOUN
ajst-16797	117	13	features	feature	NOUN
ajst-16797	117	14	and	and	CCONJ
ajst-16797	117	15	the	the	DET
ajst-16797	117	16	labeled	label	VERB
ajst-16797	117	17	apple	apple	NOUN
ajst-16797	117	18	images	image	NOUN
ajst-16797	117	19	in	in	ADP
ajst-16797	117	20	the	the	DET
ajst-16797	117	21	training	training	NOUN
ajst-16797	117	22	set	set	NOUN
ajst-16797	117	23	.	.	PUNCT
ajst-16797	118	1	there	there	PRON
ajst-16797	118	2	are	be	VERB
ajst-16797	118	3	various	various	ADJ
ajst-16797	118	4	architectures	architecture	NOUN
ajst-16797	118	5	and	and	CCONJ
ajst-16797	118	6	frameworks	framework	NOUN
ajst-16797	118	7	available	available	ADJ
ajst-16797	118	8	for	for	ADP
ajst-16797	118	9	training	train	VERB
ajst-16797	118	10	such	such	ADJ
ajst-16797	118	11	models	model	NOUN
ajst-16797	118	12	,	,	PUNCT
ajst-16797	118	13	including	include	VERB
ajst-16797	118	14	cnns	cnn	NOUN
ajst-16797	118	15	such	such	ADJ
ajst-16797	118	16	as	as	ADP
ajst-16797	118	17	vgg	vgg	NOUN
ajst-16797	118	18	,	,	PUNCT
ajst-16797	118	19	resnet	resnet	NOUN
ajst-16797	118	20	,	,	PUNCT
ajst-16797	118	21	or	or	CCONJ
ajst-16797	118	22	custom	custom	ADV
ajst-16797	118	23	-	-	PUNCT
ajst-16797	118	24	designed	design	VERB
ajst-16797	118	25	models	model	NOUN
ajst-16797	118	26	.	.	PUNCT
ajst-16797	119	1	the	the	DET
ajst-16797	119	2	model	model	NOUN
ajst-16797	119	3	should	should	AUX
ajst-16797	119	4	be	be	AUX
ajst-16797	119	5	trained	train	VERB
ajst-16797	119	6	to	to	PART
ajst-16797	119	7	classify	classify	VERB
ajst-16797	119	8	and	and	CCONJ
ajst-16797	119	9	assign	assign	VERB
ajst-16797	119	10	i	i	PROPN
ajst-16797	119	11	d	d	PROPN
ajst-16797	119	12	numbers	number	NOUN
ajst-16797	119	13	to	to	ADP
ajst-16797	119	14	the	the	DET
ajst-16797	119	15	apple	apple	NOUN
ajst-16797	119	16	images	image	NOUN
ajst-16797	119	17	.	.	PUNCT
ajst-16797	120	1	model	model	NOUN
ajst-16797	120	2	evaluation	evaluation	NOUN
ajst-16797	120	3	:	:	PUNCT
ajst-16797	120	4	evaluate	evaluate	VERB
ajst-16797	120	5	the	the	DET
ajst-16797	120	6	trained	train	VERB
ajst-16797	120	7	model	model	NOUN
ajst-16797	120	8	using	use	VERB
ajst-16797	120	9	the	the	DET
ajst-16797	120	10	validation	validation	NOUN
ajst-16797	120	11	set	set	VERB
ajst-16797	120	12	to	to	PART
ajst-16797	120	13	assess	assess	VERB
ajst-16797	120	14	its	its	PRON
ajst-16797	120	15	performance	performance	NOUN
ajst-16797	120	16	and	and	CCONJ
ajst-16797	120	17	fine	fine	ADJ
ajst-16797	120	18	-	-	PUNCT
ajst-16797	120	19	tune	tune	NOUN
ajst-16797	120	20	hyperparameters	hyperparameter	NOUN
ajst-16797	120	21	if	if	SCONJ
ajst-16797	120	22	necessary	necessary	ADJ
ajst-16797	120	23	.	.	PUNCT
ajst-16797	121	1	common	common	ADJ
ajst-16797	121	2	evaluation	evaluation	NOUN
ajst-16797	121	3	metrics	metric	NOUN
ajst-16797	121	4	include	include	VERB
ajst-16797	121	5	accuracy	accuracy	NOUN
ajst-16797	121	6	,	,	PUNCT
ajst-16797	121	7	precision	precision	NOUN
ajst-16797	121	8	,	,	PUNCT
ajst-16797	121	9	recall	recall	NOUN
ajst-16797	121	10	,	,	PUNCT
ajst-16797	121	11	and	and	CCONJ
ajst-16797	121	12	f1	f1	PROPN
ajst-16797	121	13	score	score	NOUN
ajst-16797	121	14	.	.	PUNCT
ajst-16797	122	1	apple	apple	NOUN
ajst-16797	122	2	identification	identification	NOUN
ajst-16797	122	3	:	:	PUNCT
ajst-16797	122	4	apply	apply	VERB
ajst-16797	122	5	the	the	DET
ajst-16797	122	6	trained	train	VERB
ajst-16797	122	7	model	model	NOUN
ajst-16797	122	8	to	to	ADP
ajst-16797	122	9	the	the	DET
ajst-16797	122	10	apple	apple	NOUN
ajst-16797	122	11	images	image	NOUN
ajst-16797	122	12	in	in	ADP
ajst-16797	122	13	attachment	attachment	NOUN
ajst-16797	122	14	3	3	NUM
ajst-16797	122	15	to	to	PART
ajst-16797	122	16	identify	identify	VERB
ajst-16797	122	17	and	and	CCONJ
ajst-16797	122	18	assign	assign	VERB
ajst-16797	122	19	i	i	PROPN
ajst-16797	122	20	d	d	PROPN
ajst-16797	122	21	numbers	number	NOUN
ajst-16797	122	22	to	to	ADP
ajst-16797	122	23	each	each	DET
ajst-16797	122	24	apple	apple	NOUN
ajst-16797	122	25	image	image	NOUN
ajst-16797	122	26	.	.	PUNCT
ajst-16797	123	1	this	this	PRON
ajst-16797	123	2	can	can	AUX
ajst-16797	123	3	be	be	AUX
ajst-16797	123	4	done	do	VERB
ajst-16797	123	5	by	by	ADP
ajst-16797	123	6	feeding	feed	VERB
ajst-16797	123	7	the	the	DET
ajst-16797	123	8	preprocessed	preprocesse	VERB
ajst-16797	123	9	images	image	NOUN
ajst-16797	123	10	into	into	ADP
ajst-16797	123	11	the	the	DET
ajst-16797	123	12	trained	train	VERB
ajst-16797	123	13	model	model	NOUN
ajst-16797	123	14	and	and	CCONJ
ajst-16797	123	15	obtaining	obtain	VERB
ajst-16797	123	16	the	the	DET
ajst-16797	123	17	predicted	predict	VERB
ajst-16797	123	18	labels	label	NOUN
ajst-16797	123	19	or	or	CCONJ
ajst-16797	123	20	i	i	PROPN
ajst-16797	123	21	d	d	PROPN
ajst-16797	123	22	numbers	number	NOUN
ajst-16797	123	23	.	.	PUNCT
ajst-16797	124	1	distribution	distribution	NOUN
ajst-16797	124	2	histogram	histogram	NOUN
ajst-16797	124	3	:	:	PUNCT
ajst-16797	124	4	create	create	VERB
ajst-16797	124	5	a	a	DET
ajst-16797	124	6	histogram	histogram	NOUN
ajst-16797	124	7	of	of	ADP
ajst-16797	124	8	the	the	DET
ajst-16797	124	9	i	i	PROPN
ajst-16797	124	10	d	d	PROPN
ajst-16797	124	11	numbers	number	NOUN
ajst-16797	124	12	of	of	ADP
ajst-16797	124	13	all	all	DET
ajst-16797	124	14	the	the	DET
ajst-16797	124	15	apple	apple	NOUN
ajst-16797	124	16	images	image	NOUN
ajst-16797	124	17	in	in	ADP
ajst-16797	124	18	attachment	attachment	NOUN
ajst-16797	124	19	3	3	NUM
ajst-16797	124	20	to	to	PART
ajst-16797	124	21	visualize	visualize	VERB
ajst-16797	124	22	their	their	PRON
ajst-16797	124	23	distribution	distribution	NOUN
ajst-16797	124	24	.	.	PUNCT
ajst-16797	125	1	the	the	DET
ajst-16797	125	2	x	x	NOUN
ajst-16797	125	3	-	-	NOUN
ajst-16797	125	4	axis	axis	NOUN
ajst-16797	125	5	of	of	ADP
ajst-16797	125	6	the	the	DET
ajst-16797	125	7	histogram	histogram	NOUN
ajst-16797	125	8	represents	represent	VERB
ajst-16797	125	9	the	the	DET
ajst-16797	125	10	i	i	PROPN
ajst-16797	125	11	d	d	PROPN
ajst-16797	125	12	numbers	number	NOUN
ajst-16797	125	13	,	,	PUNCT
ajst-16797	125	14	while	while	SCONJ
ajst-16797	125	15	the	the	DET
ajst-16797	125	16	y	y	NOUN
ajst-16797	125	17	-	-	PUNCT
ajst-16797	125	18	axis	axis	NOUN
ajst-16797	125	19	represents	represent	VERB
ajst-16797	125	20	the	the	DET
ajst-16797	125	21	frequency	frequency	NOUN
ajst-16797	125	22	or	or	CCONJ
ajst-16797	125	23	occurrence	occurrence	NOUN
ajst-16797	125	24	of	of	ADP
ajst-16797	125	25	each	each	DET
ajst-16797	125	26	i	i	PROPN
ajst-16797	125	27	d	d	PROPN
ajst-16797	125	28	number	number	NOUN
ajst-16797	125	29	.	.	PUNCT
ajst-16797	126	1	%	%	NOUN
ajst-16797	126	2	load	load	NOUN
ajst-16797	126	3	and	and	CCONJ
ajst-16797	126	4	preprocess	preprocess	NOUN
ajst-16797	126	5	the	the	DET
ajst-16797	126	6	training	training	NOUN
ajst-16797	126	7	images	image	NOUN
ajst-16797	126	8	trainingimagefiles	trainingimagefile	NOUN
ajst-16797	126	9	=	=	PUNCT
ajst-16797	126	10	dir('path_to_training_images/*.jpg	dir('path_to_training_images/*.jpg	PROPN
ajst-16797	126	11	'	'	PUNCT
ajst-16797	126	12	)	)	PUNCT
ajst-16797	126	13	;	;	PUNCT
ajst-16797	126	14	%	%	X
ajst-16797	126	15	replace	replace	VERB
ajst-16797	126	16	'	'	PUNCT
ajst-16797	126	17	path_to_training_images	path_to_training_image	NOUN
ajst-16797	126	18	'	'	PUNCT
ajst-16797	126	19	with	with	ADP
ajst-16797	126	20	the	the	DET
ajst-16797	126	21	actual	actual	ADJ
ajst-16797	126	22	folder	folder	NOUN
ajst-16797	126	23	path	path	NOUN
ajst-16797	126	24	numtrainingimages	numtrainingimage	NOUN
ajst-16797	126	25	=	=	SYM
ajst-16797	126	26	length(trainingimagefiles	length(trainingimagefiles	PROPN
ajst-16797	126	27	)	)	PUNCT
ajst-16797	126	28	;	;	PUNCT
ajst-16797	126	29	for	for	ADP
ajst-16797	126	30	i	i	PRON
ajst-16797	126	31	=	=	NOUN
ajst-16797	126	32	1	1	NUM
ajst-16797	126	33	:	:	PUNCT
ajst-16797	126	34	numtrainingimages	numtrainingimage	NOUN
ajst-16797	126	35	trainingimage	trainingimage	VERB
ajst-16797	126	36	=	=	SYM
ajst-16797	126	37	imread(fullfile(trainingimagefiles(i).folder	imread(fullfile(trainingimagefiles(i).folder	NOUN
ajst-16797	126	38	,	,	PUNCT
ajst-16797	126	39	trainingimagefiles(i).name	trainingimagefiles(i).name	PROPN
ajst-16797	126	40	)	)	PUNCT
ajst-16797	126	41	)	)	PUNCT
ajst-16797	126	42	;	;	PUNCT
ajst-16797	126	43	%	%	INTJ
ajst-16797	126	44	apply	apply	VERB
ajst-16797	126	45	preprocessing	preprocessing	NOUN
ajst-16797	126	46	steps	step	NOUN
ajst-16797	126	47	(	(	PUNCT
ajst-16797	126	48	e.g.	e.g.	ADV
ajst-16797	126	49	,	,	PUNCT
ajst-16797	126	50	resizing	resizing	NOUN
ajst-16797	126	51	,	,	PUNCT
ajst-16797	126	52	color	color	NOUN
ajst-16797	126	53	normalization	normalization	NOUN
ajst-16797	126	54	)	)	PUNCT
ajst-16797	126	55	%	%	NOUN
ajst-16797	126	56	...	...	PUNCT
ajst-16797	127	1	%	%	NOUN
ajst-16797	127	2	extract	extract	VERB
ajst-16797	127	3	image	image	NOUN
ajst-16797	127	4	features	feature	VERB
ajst-16797	127	5	trainingfeatures(i	trainingfeatures(i	NOUN
ajst-16797	127	6	,	,	PUNCT
ajst-16797	127	7	:)	:)	NOUN
ajst-16797	127	8	=	=	SYM
ajst-16797	127	9	extractfeatures(trainingimage	extractfeatures(trainingimage	PROPN
ajst-16797	127	10	)	)	PUNCT
ajst-16797	127	11	;	;	PUNCT
ajst-16797	127	12	%	%	X
ajst-16797	127	13	replace	replace	VERB
ajst-16797	127	14	'	'	PUNCT
ajst-16797	127	15	extractfeatures	extractfeature	NOUN
ajst-16797	127	16	'	'	PUNCT
ajst-16797	127	17	with	with	ADP
ajst-16797	127	18	the	the	DET
ajst-16797	127	19	appropriate	appropriate	ADJ
ajst-16797	127	20	feature	feature	NOUN
ajst-16797	127	21	extraction	extraction	NOUN
ajst-16797	127	22	method	method	NOUN
ajst-16797	127	23	end	end	NOUN
ajst-16797	127	24	%	%	NOUN
ajst-16797	127	25	create	create	VERB
ajst-16797	127	26	labels	label	NOUN
ajst-16797	127	27	for	for	ADP
ajst-16797	127	28	the	the	DET
ajst-16797	127	29	training	training	NOUN
ajst-16797	127	30	images	image	NOUN
ajst-16797	127	31	traininglabels	traininglabel	NOUN
ajst-16797	127	32	=	=	PUNCT
ajst-16797	128	1	[	[	X
ajst-16797	128	2	1	1	NUM
ajst-16797	128	3	2	2	NUM
ajst-16797	128	4	1	1	NUM
ajst-16797	128	5	3	3	NUM
ajst-16797	128	6	2	2	NUM
ajst-16797	128	7	]	]	PUNCT
ajst-16797	128	8	;	;	PUNCT
ajst-16797	128	9	%	%	INTJ
ajst-16797	128	10	replace	replace	NOUN
ajst-16797	128	11	with	with	ADP
ajst-16797	128	12	the	the	DET
ajst-16797	128	13	actual	actual	ADJ
ajst-16797	128	14	labels	label	NOUN
ajst-16797	128	15	for	for	ADP
ajst-16797	128	16	the	the	DET
ajst-16797	128	17	training	training	NOUN
ajst-16797	128	18	images	image	NOUN
ajst-16797	128	19	%	%	NOUN
ajst-16797	128	20	train	train	VERB
ajst-16797	128	21	the	the	DET
ajst-16797	128	22	apple	apple	NOUN
ajst-16797	128	23	recognition	recognition	NOUN
ajst-16797	128	24	model	model	NOUN
ajst-16797	128	25	model	model	NOUN
ajst-16797	128	26	=	=	SYM
ajst-16797	128	27	trainmodel(trainingfeatures	trainmodel(trainingfeature	NOUN
ajst-16797	128	28	,	,	PUNCT
ajst-16797	128	29	traininglabels	traininglabel	NOUN
ajst-16797	128	30	)	)	PUNCT
ajst-16797	128	31	;	;	PUNCT
ajst-16797	128	32	%	%	X
ajst-16797	128	33	replace	replace	VERB
ajst-16797	128	34	'	'	PUNCT
ajst-16797	128	35	trainmodel	trainmodel	NOUN
ajst-16797	128	36	'	'	PUNCT
ajst-16797	128	37	with	with	ADP
ajst-16797	128	38	the	the	DET
ajst-16797	128	39	appropriate	appropriate	ADJ
ajst-16797	128	40	model	model	NOUN
ajst-16797	128	41	training	training	NOUN
ajst-16797	128	42	function	function	NOUN
ajst-16797	128	43	%	%	NOUN
ajst-16797	128	44	load	load	NOUN
ajst-16797	128	45	and	and	CCONJ
ajst-16797	128	46	preprocess	preprocess	NOUN
ajst-16797	128	47	the	the	DET
ajst-16797	128	48	apple	apple	NOUN
ajst-16797	128	49	images	image	NOUN
ajst-16797	128	50	for	for	ADP
ajst-16797	128	51	identification	identification	NOUN
ajst-16797	128	52	testimagefiles	testimagefile	NOUN
ajst-16797	128	53	=	=	SYM
ajst-16797	128	54	dir('path_to_test_images/*.jpg	dir('path_to_test_images/*.jpg	NOUN
ajst-16797	128	55	'	'	PUNCT
ajst-16797	128	56	)	)	PUNCT
ajst-16797	128	57	;	;	PUNCT
ajst-16797	128	58	%	%	X
ajst-16797	128	59	replace	replace	VERB
ajst-16797	128	60	'	'	PUNCT
ajst-16797	128	61	path_to_test_images	path_to_test_image	NOUN
ajst-16797	128	62	'	'	PUNCT
ajst-16797	128	63	with	with	ADP
ajst-16797	128	64	the	the	DET
ajst-16797	128	65	actual	actual	ADJ
ajst-16797	128	66	folder	folder	NOUN
ajst-16797	128	67	path	path	NOUN
ajst-16797	128	68	numtestimages	numtestimage	NOUN
ajst-16797	128	69	=	=	SYM
ajst-16797	128	70	length(testimagefiles	length(testimagefiles	PROPN
ajst-16797	128	71	)	)	PUNCT
ajst-16797	128	72	;	;	PUNCT
ajst-16797	128	73	for	for	ADP
ajst-16797	128	74	i	i	PRON
ajst-16797	128	75	=	=	NOUN
ajst-16797	128	76	1	1	NUM
ajst-16797	128	77	:	:	PUNCT
ajst-16797	128	78	numtestimages	numtestimage	VERB
ajst-16797	128	79	testimage	testimage	NOUN
ajst-16797	128	80	=	=	SYM
ajst-16797	128	81	imread(fullfile(testimagefiles(i).folder	imread(fullfile(testimagefiles(i).folder	PROPN
ajst-16797	128	82	,	,	PUNCT
ajst-16797	128	83	testimagefiles(i).name	testimagefiles(i).name	PRON
ajst-16797	128	84	)	)	PUNCT
ajst-16797	128	85	)	)	PUNCT
ajst-16797	128	86	;	;	PUNCT
ajst-16797	128	87	%	%	INTJ
ajst-16797	128	88	apply	apply	VERB
ajst-16797	128	89	preprocessing	preprocessing	NOUN
ajst-16797	128	90	steps	step	NOUN
ajst-16797	128	91	(	(	PUNCT
ajst-16797	128	92	e.g.	e.g.	ADV
ajst-16797	128	93	,	,	PUNCT
ajst-16797	128	94	resizing	resizing	NOUN
ajst-16797	128	95	,	,	PUNCT
ajst-16797	128	96	color	color	NOUN
ajst-16797	128	97	normalization	normalization	NOUN
ajst-16797	128	98	)	)	PUNCT
ajst-16797	128	99	%	%	NOUN
ajst-16797	128	100	...	...	PUNCT
ajst-16797	129	1	%	%	NOUN
ajst-16797	129	2	extract	extract	VERB
ajst-16797	129	3	image	image	NOUN
ajst-16797	129	4	features	feature	VERB
ajst-16797	129	5	testfeatures(i	testfeatures(i	NOUN
ajst-16797	129	6	,	,	PUNCT
ajst-16797	129	7	:)	:)	NOUN
ajst-16797	129	8	=	=	PUNCT
ajst-16797	129	9	extractfeatures(testimage	extractfeatures(testimage	PROPN
ajst-16797	129	10	)	)	PUNCT
ajst-16797	129	11	;	;	PUNCT
ajst-16797	129	12	%	%	X
ajst-16797	129	13	replace	replace	VERB
ajst-16797	129	14	'	'	PUNCT
ajst-16797	129	15	extractfeatures	extractfeature	NOUN
ajst-16797	129	16	'	'	PUNCT
ajst-16797	129	17	with	with	ADP
ajst-16797	129	18	the	the	DET
ajst-16797	129	19	appropriate	appropriate	ADJ
ajst-16797	129	20	feature	feature	NOUN
ajst-16797	129	21	extraction	extraction	NOUN
ajst-16797	129	22	method	method	NOUN
ajst-16797	129	23	%	%	NOUN
ajst-16797	129	24	apply	apply	VERB
ajst-16797	129	25	the	the	DET
ajst-16797	129	26	trained	train	VERB
ajst-16797	129	27	model	model	NOUN
ajst-16797	129	28	for	for	ADP
ajst-16797	129	29	apple	apple	NOUN
ajst-16797	129	30	identification	identification	NOUN
ajst-16797	129	31	predictedlabel	predictedlabel	NOUN
ajst-16797	129	32	=	=	SYM
ajst-16797	129	33	identifyapple(model	identifyapple(model	PROPN
ajst-16797	129	34	,	,	PUNCT
ajst-16797	129	35	testfeatures(i	testfeatures(i	NOUN
ajst-16797	129	36	,	,	PUNCT
ajst-16797	129	37	:))	:))	PROPN
ajst-16797	129	38	;	;	PUNCT
ajst-16797	129	39	%	%	INTJ
ajst-16797	129	40	replace	replace	VERB
ajst-16797	129	41	'	'	PUNCT
ajst-16797	129	42	identifyapple	identifyapple	NOUN
ajst-16797	129	43	'	'	PUNCT
ajst-16797	129	44	with	with	ADP
ajst-16797	129	45	the	the	DET
ajst-16797	129	46	appropriate	appropriate	ADJ
ajst-16797	129	47	prediction	prediction	NOUN
ajst-16797	129	48	function	function	NOUN
ajst-16797	129	49	%	%	NOUN
ajst-16797	129	50	store	store	NOUN
ajst-16797	129	51	the	the	DET
ajst-16797	129	52	predicted	predict	VERB
ajst-16797	129	53	label	label	NOUN
ajst-16797	129	54	or	or	CCONJ
ajst-16797	129	55	i	i	NOUN
ajst-16797	129	56	d	d	PROPN
ajst-16797	129	57	number	number	NOUN
ajst-16797	129	58	predictedlabels(i	predictedlabels(i	NOUN
ajst-16797	129	59	)	)	PUNCT
ajst-16797	129	60	=	=	VERB
ajst-16797	129	61	predictedlabel	predictedlabel	NOUN
ajst-16797	129	62	;	;	PUNCT
ajst-16797	129	63	230	230	NUM
ajst-16797	129	64	end	end	NOUN
ajst-16797	129	65	%	%	NOUN
ajst-16797	129	66	generate	generate	VERB
ajst-16797	129	67	distribution	distribution	NOUN
ajst-16797	129	68	histogram	histogram	NOUN
ajst-16797	129	69	histogram(predictedlabels	histogram(predictedlabels	PROPN
ajst-16797	129	70	)	)	PUNCT
ajst-16797	129	71	;	;	PUNCT
ajst-16797	129	72	xlabel('id	xlabel('id	PROPN
ajst-16797	129	73	number	number	NOUN
ajst-16797	129	74	'	'	PUNCT
ajst-16797	129	75	)	)	PUNCT
ajst-16797	129	76	;	;	PUNCT
ajst-16797	129	77	ylabel('frequency	ylabel('frequency	NOUN
ajst-16797	129	78	'	'	PUNCT
ajst-16797	129	79	)	)	PUNCT
ajst-16797	129	80	;	;	PUNCT
ajst-16797	129	81	title('distribution	title('distribution	NOUN
ajst-16797	129	82	of	of	ADP
ajst-16797	129	83	apple	apple	NOUN
ajst-16797	129	84	i	i	PROPN
ajst-16797	129	85	d	d	PROPN
ajst-16797	129	86	numbers	number	NOUN
ajst-16797	129	87	'	'	PUNCT
ajst-16797	129	88	)	)	PUNCT
ajst-16797	129	89	;	;	PUNCT
ajst-16797	129	90	%	%	NOUN
ajst-16797	129	91	function	function	NOUN
ajst-16797	129	92	to	to	PART
ajst-16797	129	93	train	train	VERB
ajst-16797	129	94	the	the	DET
ajst-16797	129	95	apple	apple	NOUN
ajst-16797	129	96	recognition	recognition	NOUN
ajst-16797	129	97	model	model	NOUN
ajst-16797	129	98	(	(	PUNCT
ajst-16797	129	99	example	example	NOUN
ajst-16797	129	100	using	use	VERB
ajst-16797	129	101	a	a	DET
ajst-16797	129	102	simple	simple	ADJ
ajst-16797	129	103	svm	svm	NOUN
ajst-16797	129	104	classifier	classifier	NOUN
ajst-16797	129	105	)	)	PUNCT
ajst-16797	129	106	function	function	NOUN
ajst-16797	129	107	model	model	NOUN
ajst-16797	129	108	=	=	PUNCT
ajst-16797	129	109	trainmodel(features	trainmodel(feature	NOUN
ajst-16797	129	110	,	,	PUNCT
ajst-16797	129	111	labels	label	NOUN
ajst-16797	129	112	)	)	PUNCT
ajst-16797	129	113	%	%	NOUN
ajst-16797	129	114	train	train	VERB
ajst-16797	129	115	the	the	DET
ajst-16797	129	116	model	model	NOUN
ajst-16797	129	117	using	use	VERB
ajst-16797	129	118	the	the	DET
ajst-16797	129	119	features	feature	NOUN
ajst-16797	129	120	and	and	CCONJ
ajst-16797	129	121	labels	label	NOUN
ajst-16797	129	122	%	%	INTJ
ajst-16797	129	123	...	...	PUNCT
ajst-16797	130	1	model	model	NOUN
ajst-16797	130	2	=	=	SYM
ajst-16797	130	3	fitcecoc(features	fitcecoc(feature	NOUN
ajst-16797	130	4	,	,	PUNCT
ajst-16797	130	5	labels	label	NOUN
ajst-16797	130	6	)	)	PUNCT
ajst-16797	130	7	;	;	PUNCT
ajst-16797	130	8	%	%	X
ajst-16797	130	9	replace	replace	NOUN
ajst-16797	130	10	with	with	ADP
ajst-16797	130	11	the	the	DET
ajst-16797	130	12	appropriate	appropriate	ADJ
ajst-16797	130	13	model	model	NOUN
ajst-16797	130	14	training	training	NOUN
ajst-16797	130	15	function	function	NOUN
ajst-16797	130	16	end	end	VERB
ajst-16797	130	17	%	%	NOUN
ajst-16797	130	18	function	function	NOUN
ajst-16797	130	19	to	to	PART
ajst-16797	130	20	identify	identify	VERB
ajst-16797	130	21	apples	apple	NOUN
ajst-16797	130	22	using	use	VERB
ajst-16797	130	23	the	the	DET
ajst-16797	130	24	trained	train	VERB
ajst-16797	130	25	model	model	NOUN
ajst-16797	130	26	(	(	PUNCT
ajst-16797	130	27	example	example	NOUN
ajst-16797	130	28	using	use	VERB
ajst-16797	130	29	a	a	DET
ajst-16797	130	30	simple	simple	ADJ
ajst-16797	130	31	svm	svm	NOUN
ajst-16797	130	32	classifier	classifier	NOUN
ajst-16797	130	33	)	)	PUNCT
ajst-16797	130	34	function	function	NOUN
ajst-16797	130	35	predictedlabel	predictedlabel	NOUN
ajst-16797	130	36	=	=	SYM
ajst-16797	130	37	identifyapple(model	identifyapple(model	ADJ
ajst-16797	130	38	,	,	PUNCT
ajst-16797	130	39	testfeatures	testfeature	NOUN
ajst-16797	130	40	)	)	PUNCT
ajst-16797	130	41	%	%	NOUN
ajst-16797	130	42	apply	apply	VERB
ajst-16797	130	43	the	the	DET
ajst-16797	130	44	trained	train	VERB
ajst-16797	130	45	model	model	NOUN
ajst-16797	130	46	to	to	PART
ajst-16797	130	47	predict	predict	VERB
ajst-16797	130	48	the	the	DET
ajst-16797	130	49	label	label	NOUN
ajst-16797	130	50	or	or	CCONJ
ajst-16797	130	51	i	i	NOUN
ajst-16797	130	52	d	d	PROPN
ajst-16797	130	53	number	number	NOUN
ajst-16797	130	54	%	%	NOUN
ajst-16797	130	55	...	...	PUNCT
ajst-16797	131	1	predictedlabel	predictedlabel	NOUN
ajst-16797	131	2	=	=	SYM
ajst-16797	131	3	predict(model	predict(model	PROPN
ajst-16797	131	4	,	,	PUNCT
ajst-16797	131	5	testfeatures	testfeature	NOUN
ajst-16797	131	6	)	)	PUNCT
ajst-16797	131	7	;	;	PUNCT
ajst-16797	131	8	%	%	X
ajst-16797	131	9	replace	replace	NOUN
ajst-16797	131	10	with	with	ADP
ajst-16797	131	11	the	the	DET
ajst-16797	131	12	appropriate	appropriate	ADJ
ajst-16797	131	13	prediction	prediction	NOUN
ajst-16797	131	14	function	function	NOUN
ajst-16797	131	15	end	end	VERB
ajst-16797	131	16	6	6	NUM
ajst-16797	131	17	.	.	PUNCT
ajst-16797	131	18	evaluation	evaluation	NOUN
ajst-16797	131	19	and	and	CCONJ
ajst-16797	131	20	extension	extension	NOUN
ajst-16797	131	21	of	of	ADP
ajst-16797	131	22	the	the	DET
ajst-16797	131	23	model	model	NOUN
ajst-16797	131	24	model	model	NOUN
ajst-16797	131	25	overview	overview	NOUN
ajst-16797	131	26	:	:	PUNCT
ajst-16797	131	27	the	the	DET
ajst-16797	131	28	proposed	propose	VERB
ajst-16797	131	29	apple	apple	NOUN
ajst-16797	131	30	image	image	NOUN
ajst-16797	131	31	recognition	recognition	NOUN
ajst-16797	131	32	model	model	NOUN
ajst-16797	131	33	addresses	address	VERB
ajst-16797	131	34	the	the	DET
ajst-16797	131	35	challenges	challenge	NOUN
ajst-16797	131	36	in	in	ADP
ajst-16797	131	37	automating	automate	VERB
ajst-16797	131	38	apple	apple	NOUN
ajst-16797	131	39	picking	pick	VERB
ajst-16797	131	40	by	by	ADP
ajst-16797	131	41	analyzing	analyze	VERB
ajst-16797	131	42	and	and	CCONJ
ajst-16797	131	43	extracting	extract	VERB
ajst-16797	131	44	features	feature	NOUN
ajst-16797	131	45	from	from	ADP
ajst-16797	131	46	labeled	label	VERB
ajst-16797	131	47	fruit	fruit	NOUN
ajst-16797	131	48	images	image	NOUN
ajst-16797	131	49	.	.	PUNCT
ajst-16797	132	1	it	it	PRON
ajst-16797	132	2	aims	aim	VERB
ajst-16797	132	3	to	to	PART
ajst-16797	132	4	achieve	achieve	VERB
ajst-16797	132	5	a	a	DET
ajst-16797	132	6	high	high	ADJ
ajst-16797	132	7	recognition	recognition	NOUN
ajst-16797	132	8	rate	rate	NOUN
ajst-16797	132	9	,	,	PUNCT
ajst-16797	132	10	fast	fast	ADJ
ajst-16797	132	11	speed	speed	NOUN
ajst-16797	132	12	,	,	PUNCT
ajst-16797	132	13	and	and	CCONJ
ajst-16797	132	14	accuracy	accuracy	NOUN
ajst-16797	132	15	in	in	ADP
ajst-16797	132	16	counting	count	VERB
ajst-16797	132	17	apples	apple	NOUN
ajst-16797	132	18	,	,	PUNCT
ajst-16797	132	19	estimating	estimate	VERB
ajst-16797	132	20	their	their	PRON
ajst-16797	132	21	positions	position	NOUN
ajst-16797	132	22	,	,	PUNCT
ajst-16797	132	23	determining	determine	VERB
ajst-16797	132	24	maturity	maturity	NOUN
ajst-16797	132	25	levels	level	NOUN
ajst-16797	132	26	,	,	PUNCT
ajst-16797	132	27	estimating	estimate	VERB
ajst-16797	132	28	masses	masse	NOUN
ajst-16797	132	29	,	,	PUNCT
ajst-16797	132	30	and	and	CCONJ
ajst-16797	132	31	recognizing	recognize	VERB
ajst-16797	132	32	different	different	ADJ
ajst-16797	132	33	types	type	NOUN
ajst-16797	132	34	of	of	ADP
ajst-16797	132	35	apples	apple	NOUN
ajst-16797	132	36	.	.	PUNCT
ajst-16797	133	1	the	the	DET
ajst-16797	133	2	model	model	NOUN
ajst-16797	133	3	consists	consist	VERB
ajst-16797	133	4	of	of	ADP
ajst-16797	133	5	several	several	ADJ
ajst-16797	133	6	key	key	ADJ
ajst-16797	133	7	components	component	NOUN
ajst-16797	133	8	:	:	PUNCT
ajst-16797	133	9	image	image	NOUN
ajst-16797	133	10	feature	feature	NOUN
ajst-16797	133	11	extraction	extraction	NOUN
ajst-16797	133	12	:	:	PUNCT
ajst-16797	133	13	the	the	DET
ajst-16797	133	14	model	model	NOUN
ajst-16797	133	15	employs	employ	VERB
ajst-16797	133	16	advanced	advanced	ADJ
ajst-16797	133	17	image	image	NOUN
ajst-16797	133	18	processing	processing	NOUN
ajst-16797	133	19	techniques	technique	NOUN
ajst-16797	133	20	to	to	PART
ajst-16797	133	21	extract	extract	VERB
ajst-16797	133	22	relevant	relevant	ADJ
ajst-16797	133	23	features	feature	NOUN
ajst-16797	133	24	from	from	ADP
ajst-16797	133	25	the	the	DET
ajst-16797	133	26	provided	provide	VERB
ajst-16797	133	27	image	image	NOUN
ajst-16797	133	28	dataset	dataset	NOUN
ajst-16797	133	29	.	.	PUNCT
ajst-16797	134	1	this	this	DET
ajst-16797	134	2	step	step	NOUN
ajst-16797	134	3	helps	help	VERB
ajst-16797	134	4	in	in	ADP
ajst-16797	134	5	capturing	capture	VERB
ajst-16797	134	6	important	important	ADJ
ajst-16797	134	7	characteristics	characteristic	NOUN
ajst-16797	134	8	of	of	ADP
ajst-16797	134	9	the	the	DET
ajst-16797	134	10	apples	apple	NOUN
ajst-16797	134	11	,	,	PUNCT
ajst-16797	134	12	such	such	ADJ
ajst-16797	134	13	as	as	ADP
ajst-16797	134	14	color	color	NOUN
ajst-16797	134	15	,	,	PUNCT
ajst-16797	134	16	shape	shape	NOUN
ajst-16797	134	17	,	,	PUNCT
ajst-16797	134	18	texture	texture	NOUN
ajst-16797	134	19	,	,	PUNCT
ajst-16797	134	20	and	and	CCONJ
ajst-16797	134	21	size	size	NOUN
ajst-16797	134	22	.	.	PUNCT
ajst-16797	135	1	mathematical	mathematical	ADJ
ajst-16797	135	2	modeling	modeling	NOUN
ajst-16797	135	3	:	:	PUNCT
ajst-16797	135	4	mathematical	mathematical	ADJ
ajst-16797	135	5	models	model	NOUN
ajst-16797	135	6	are	be	AUX
ajst-16797	135	7	established	establish	VERB
ajst-16797	135	8	to	to	PART
ajst-16797	135	9	perform	perform	VERB
ajst-16797	135	10	specific	specific	ADJ
ajst-16797	135	11	tasks	task	NOUN
ajst-16797	135	12	such	such	ADJ
ajst-16797	135	13	as	as	ADP
ajst-16797	135	14	counting	count	VERB
ajst-16797	135	15	apples	apple	NOUN
ajst-16797	135	16	,	,	PUNCT
ajst-16797	135	17	estimating	estimate	VERB
ajst-16797	135	18	positions	position	NOUN
ajst-16797	135	19	,	,	PUNCT
ajst-16797	135	20	assessing	assess	VERB
ajst-16797	135	21	maturity	maturity	NOUN
ajst-16797	135	22	levels	level	NOUN
ajst-16797	135	23	,	,	PUNCT
ajst-16797	135	24	and	and	CCONJ
ajst-16797	135	25	estimating	estimate	VERB
ajst-16797	135	26	masses	masse	NOUN
ajst-16797	135	27	.	.	PUNCT
ajst-16797	136	1	these	these	DET
ajst-16797	136	2	models	model	NOUN
ajst-16797	136	3	utilize	utilize	VERB
ajst-16797	136	4	the	the	DET
ajst-16797	136	5	extracted	extract	VERB
ajst-16797	136	6	image	image	NOUN
ajst-16797	136	7	features	feature	NOUN
ajst-16797	136	8	and	and	CCONJ
ajst-16797	136	9	relevant	relevant	ADJ
ajst-16797	136	10	parameters	parameter	NOUN
ajst-16797	136	11	to	to	PART
ajst-16797	136	12	make	make	VERB
ajst-16797	136	13	accurate	accurate	ADJ
ajst-16797	136	14	predictions	prediction	NOUN
ajst-16797	136	15	.	.	PUNCT
ajst-16797	137	1	data	datum	NOUN
ajst-16797	137	2	analysis	analysis	NOUN
ajst-16797	137	3	:	:	PUNCT
ajst-16797	137	4	the	the	DET
ajst-16797	137	5	model	model	NOUN
ajst-16797	137	6	performs	perform	VERB
ajst-16797	137	7	comprehensive	comprehensive	ADJ
ajst-16797	137	8	data	datum	NOUN
ajst-16797	137	9	analysis	analysis	NOUN
ajst-16797	137	10	on	on	ADP
ajst-16797	137	11	the	the	DET
ajst-16797	137	12	images	image	NOUN
ajst-16797	137	13	to	to	PART
ajst-16797	137	14	calculate	calculate	VERB
ajst-16797	137	15	the	the	DET
ajst-16797	137	16	number	number	NOUN
ajst-16797	137	17	of	of	ADP
ajst-16797	137	18	apples	apple	NOUN
ajst-16797	137	19	,	,	PUNCT
ajst-16797	137	20	their	their	PRON
ajst-16797	137	21	positions	position	NOUN
ajst-16797	137	22	,	,	PUNCT
ajst-16797	137	23	maturity	maturity	NOUN
ajst-16797	137	24	distribution	distribution	NOUN
ajst-16797	137	25	,	,	PUNCT
ajst-16797	137	26	and	and	CCONJ
ajst-16797	137	27	mass	mass	ADJ
ajst-16797	137	28	distribution	distribution	NOUN
ajst-16797	137	29	.	.	PUNCT
ajst-16797	138	1	this	this	DET
ajst-16797	138	2	analysis	analysis	NOUN
ajst-16797	138	3	helps	help	VERB
ajst-16797	138	4	in	in	ADP
ajst-16797	138	5	gaining	gain	VERB
ajst-16797	138	6	insights	insight	NOUN
ajst-16797	138	7	into	into	ADP
ajst-16797	138	8	the	the	DET
ajst-16797	138	9	dataset	dataset	NOUN
ajst-16797	138	10	and	and	CCONJ
ajst-16797	138	11	understanding	understand	VERB
ajst-16797	138	12	the	the	DET
ajst-16797	138	13	characteristics	characteristic	NOUN
ajst-16797	138	14	of	of	ADP
ajst-16797	138	15	the	the	DET
ajst-16797	138	16	apples	apple	NOUN
ajst-16797	138	17	.	.	PUNCT
ajst-16797	139	1	apple	apple	NOUN
ajst-16797	139	2	recognition	recognition	PROPN
ajst-16797	139	3	:	:	PUNCT
ajst-16797	139	4	the	the	DET
ajst-16797	139	5	model	model	NOUN
ajst-16797	139	6	utilizes	utilize	VERB
ajst-16797	139	7	the	the	DET
ajst-16797	139	8	dataset	dataset	NOUN
ajst-16797	139	9	of	of	ADP
ajst-16797	139	10	harvested	harvest	VERB
ajst-16797	139	11	fruits	fruit	NOUN
ajst-16797	139	12	'	'	PART
ajst-16797	139	13	images	image	NOUN
ajst-16797	139	14	provided	provide	VERB
ajst-16797	139	15	in	in	ADP
ajst-16797	139	16	attachment	attachment	NOUN
ajst-16797	139	17	2	2	NUM
ajst-16797	139	18	to	to	PART
ajst-16797	139	19	train	train	VERB
ajst-16797	139	20	an	an	DET
ajst-16797	139	21	apple	apple	NOUN
ajst-16797	139	22	recognition	recognition	NOUN
ajst-16797	139	23	model	model	NOUN
ajst-16797	139	24	.	.	PUNCT
ajst-16797	140	1	image	image	NOUN
ajst-16797	140	2	features	feature	NOUN
ajst-16797	140	3	are	be	AUX
ajst-16797	140	4	extracted	extract	VERB
ajst-16797	140	5	,	,	PUNCT
ajst-16797	140	6	and	and	CCONJ
ajst-16797	140	7	a	a	DET
ajst-16797	140	8	classification	classification	NOUN
ajst-16797	140	9	algorithm	algorithm	NOUN
ajst-16797	140	10	is	be	AUX
ajst-16797	140	11	employed	employ	VERB
ajst-16797	140	12	to	to	PART
ajst-16797	140	13	identify	identify	VERB
ajst-16797	140	14	and	and	CCONJ
ajst-16797	140	15	classify	classify	VERB
ajst-16797	140	16	apples	apple	NOUN
ajst-16797	140	17	in	in	ADP
ajst-16797	140	18	attachment	attachment	NOUN
ajst-16797	140	19	3	3	NUM
ajst-16797	140	20	based	base	VERB
ajst-16797	140	21	on	on	ADP
ajst-16797	140	22	their	their	PRON
ajst-16797	140	23	unique	unique	ADJ
ajst-16797	140	24	features	feature	NOUN
ajst-16797	140	25	.	.	PUNCT
ajst-16797	141	1	advantages	advantage	NOUN
ajst-16797	141	2	of	of	ADP
ajst-16797	141	3	the	the	DET
ajst-16797	141	4	model	model	NOUN
ajst-16797	141	5	:	:	PUNCT
ajst-16797	141	6	high	high	ADJ
ajst-16797	141	7	recognition	recognition	NOUN
ajst-16797	141	8	rate	rate	NOUN
ajst-16797	141	9	:	:	PUNCT
ajst-16797	141	10	by	by	ADP
ajst-16797	141	11	utilizing	utilize	VERB
ajst-16797	141	12	advanced	advanced	ADJ
ajst-16797	141	13	image	image	NOUN
ajst-16797	141	14	processing	processing	NOUN
ajst-16797	141	15	techniques	technique	NOUN
ajst-16797	141	16	and	and	CCONJ
ajst-16797	141	17	mathematical	mathematical	ADJ
ajst-16797	141	18	models	model	NOUN
ajst-16797	141	19	,	,	PUNCT
ajst-16797	141	20	the	the	DET
ajst-16797	141	21	proposed	propose	VERB
ajst-16797	141	22	model	model	NOUN
ajst-16797	141	23	aims	aim	VERB
ajst-16797	141	24	to	to	PART
ajst-16797	141	25	achieve	achieve	VERB
ajst-16797	141	26	a	a	DET
ajst-16797	141	27	high	high	ADJ
ajst-16797	141	28	recognition	recognition	NOUN
ajst-16797	141	29	rate	rate	NOUN
ajst-16797	141	30	,	,	PUNCT
ajst-16797	141	31	ensuring	ensure	VERB
ajst-16797	141	32	accurate	accurate	ADJ
ajst-16797	141	33	counting	counting	NOUN
ajst-16797	141	34	,	,	PUNCT
ajst-16797	141	35	positioning	positioning	NOUN
ajst-16797	141	36	,	,	PUNCT
ajst-16797	141	37	maturity	maturity	NOUN
ajst-16797	141	38	assessment	assessment	NOUN
ajst-16797	141	39	,	,	PUNCT
ajst-16797	141	40	mass	mass	NOUN
ajst-16797	141	41	estimation	estimation	NOUN
ajst-16797	141	42	,	,	PUNCT
ajst-16797	141	43	and	and	CCONJ
ajst-16797	141	44	apple	apple	NOUN
ajst-16797	141	45	recognition	recognition	NOUN
ajst-16797	141	46	.	.	PUNCT
ajst-16797	142	1	fast	fast	ADJ
ajst-16797	142	2	speed	speed	NOUN
ajst-16797	142	3	:	:	PUNCT
ajst-16797	142	4	the	the	DET
ajst-16797	142	5	model	model	NOUN
ajst-16797	142	6	is	be	AUX
ajst-16797	142	7	designed	design	VERB
ajst-16797	142	8	to	to	PART
ajst-16797	142	9	process	process	VERB
ajst-16797	142	10	images	image	NOUN
ajst-16797	142	11	efficiently	efficiently	ADV
ajst-16797	142	12	,	,	PUNCT
ajst-16797	142	13	enabling	enable	VERB
ajst-16797	142	14	quick	quick	ADJ
ajst-16797	142	15	analysis	analysis	NOUN
ajst-16797	142	16	and	and	CCONJ
ajst-16797	142	17	predictions	prediction	NOUN
ajst-16797	142	18	.	.	PUNCT
ajst-16797	143	1	this	this	PRON
ajst-16797	143	2	allows	allow	VERB
ajst-16797	143	3	for	for	ADP
ajst-16797	143	4	timely	timely	ADJ
ajst-16797	143	5	decision	decision	NOUN
ajst-16797	143	6	-	-	PUNCT
ajst-16797	143	7	making	making	NOUN
ajst-16797	143	8	during	during	ADP
ajst-16797	143	9	apple	apple	NOUN
ajst-16797	143	10	picking	picking	NOUN
ajst-16797	143	11	operations	operation	NOUN
ajst-16797	143	12	,	,	PUNCT
ajst-16797	143	13	enhancing	enhance	VERB
ajst-16797	143	14	overall	overall	ADJ
ajst-16797	143	15	efficiency	efficiency	NOUN
ajst-16797	143	16	.	.	PUNCT
ajst-16797	144	1	accuracy	accuracy	NOUN
ajst-16797	144	2	:	:	PUNCT
ajst-16797	144	3	the	the	DET
ajst-16797	144	4	combination	combination	NOUN
ajst-16797	144	5	of	of	ADP
ajst-16797	144	6	image	image	NOUN
ajst-16797	144	7	feature	feature	NOUN
ajst-16797	144	8	extraction	extraction	NOUN
ajst-16797	144	9	,	,	PUNCT
ajst-16797	144	10	mathematical	mathematical	ADJ
ajst-16797	144	11	modeling	modeling	NOUN
ajst-16797	144	12	,	,	PUNCT
ajst-16797	144	13	and	and	CCONJ
ajst-16797	144	14	data	datum	NOUN
ajst-16797	144	15	analysis	analysis	NOUN
ajst-16797	144	16	contributes	contribute	VERB
ajst-16797	144	17	to	to	ADP
ajst-16797	144	18	improved	improved	ADJ
ajst-16797	144	19	accuracy	accuracy	NOUN
ajst-16797	144	20	in	in	ADP
ajst-16797	144	21	various	various	ADJ
ajst-16797	144	22	tasks	task	NOUN
ajst-16797	144	23	.	.	PUNCT
ajst-16797	145	1	precise	precise	ADJ
ajst-16797	145	2	counting	counting	NOUN
ajst-16797	145	3	,	,	PUNCT
ajst-16797	145	4	positioning	positioning	NOUN
ajst-16797	145	5	,	,	PUNCT
ajst-16797	145	6	maturity	maturity	NOUN
ajst-16797	145	7	assessment	assessment	NOUN
ajst-16797	145	8	,	,	PUNCT
ajst-16797	145	9	and	and	CCONJ
ajst-16797	145	10	mass	mass	NOUN
ajst-16797	145	11	estimation	estimation	NOUN
ajst-16797	145	12	help	help	AUX
ajst-16797	145	13	optimize	optimize	VERB
ajst-16797	145	14	apple	apple	NOUN
ajst-16797	145	15	harvesting	harvesting	NOUN
ajst-16797	145	16	processes	process	NOUN
ajst-16797	145	17	and	and	CCONJ
ajst-16797	145	18	minimize	minimize	VERB
ajst-16797	145	19	losses	loss	NOUN
ajst-16797	145	20	.	.	PUNCT
ajst-16797	146	1	model	model	NOUN
ajst-16797	146	2	limitations	limitation	NOUN
ajst-16797	146	3	and	and	CCONJ
ajst-16797	146	4	future	future	ADJ
ajst-16797	146	5	improvements	improvement	NOUN
ajst-16797	146	6	:	:	PUNCT
ajst-16797	146	7	orchards	orchard	NOUN
ajst-16797	146	8	'	'	PART
ajst-16797	146	9	variability	variability	NOUN
ajst-16797	146	10	:	:	PUNCT
ajst-16797	146	11	the	the	DET
ajst-16797	146	12	model	model	NOUN
ajst-16797	146	13	's	's	PART
ajst-16797	146	14	performance	performance	NOUN
ajst-16797	146	15	may	may	AUX
ajst-16797	146	16	be	be	AUX
ajst-16797	146	17	affected	affect	VERB
ajst-16797	146	18	by	by	ADP
ajst-16797	146	19	the	the	DET
ajst-16797	146	20	variability	variability	NOUN
ajst-16797	146	21	of	of	ADP
ajst-16797	146	22	orchard	orchard	ADJ
ajst-16797	146	23	environments	environment	NOUN
ajst-16797	146	24	that	that	PRON
ajst-16797	146	25	differ	differ	VERB
ajst-16797	146	26	from	from	ADP
ajst-16797	146	27	controlled	control	VERB
ajst-16797	146	28	experimental	experimental	ADJ
ajst-16797	146	29	settings	setting	NOUN
ajst-16797	146	30	.	.	PUNCT
ajst-16797	147	1	further	further	ADJ
ajst-16797	147	2	research	research	NOUN
ajst-16797	147	3	and	and	CCONJ
ajst-16797	147	4	fine	fine	ADV
ajst-16797	147	5	-	-	PUNCT
ajst-16797	147	6	tuning	tuning	NOUN
ajst-16797	147	7	of	of	ADP
ajst-16797	147	8	the	the	DET
ajst-16797	147	9	model	model	NOUN
ajst-16797	147	10	are	be	AUX
ajst-16797	147	11	necessary	necessary	ADJ
ajst-16797	147	12	to	to	PART
ajst-16797	147	13	handle	handle	VERB
ajst-16797	147	14	complex	complex	ADJ
ajst-16797	147	15	and	and	CCONJ
ajst-16797	147	16	unstructured	unstructured	ADJ
ajst-16797	147	17	orchard	orchard	NOUN
ajst-16797	147	18	conditions	condition	NOUN
ajst-16797	147	19	.	.	PUNCT
ajst-16797	148	1	occlusion	occlusion	NOUN
ajst-16797	148	2	challenges	challenge	NOUN
ajst-16797	148	3	:	:	PUNCT
ajst-16797	148	4	existing	exist	VERB
ajst-16797	148	5	robots	robot	NOUN
ajst-16797	148	6	face	face	VERB
ajst-16797	148	7	difficulties	difficulty	NOUN
ajst-16797	148	8	in	in	ADP
ajst-16797	148	9	accurately	accurately	ADV
ajst-16797	148	10	identifying	identify	VERB
ajst-16797	148	11	obstacles	obstacle	NOUN
ajst-16797	148	12	like	like	ADP
ajst-16797	148	13	leaf	leaf	NOUN
ajst-16797	148	14	occlusion	occlusion	NOUN
ajst-16797	148	15	,	,	PUNCT
ajst-16797	148	16	branch	branch	NOUN
ajst-16797	148	17	occlusion	occlusion	NOUN
ajst-16797	148	18	,	,	PUNCT
ajst-16797	148	19	fruit	fruit	NOUN
ajst-16797	148	20	occlusion	occlusion	NOUN
ajst-16797	148	21	,	,	PUNCT
ajst-16797	148	22	and	and	CCONJ
ajst-16797	148	23	mixed	mixed	ADJ
ajst-16797	148	24	occlusion	occlusion	NOUN
ajst-16797	148	25	.	.	PUNCT
ajst-16797	149	1	the	the	DET
ajst-16797	149	2	model	model	NOUN
ajst-16797	149	3	should	should	AUX
ajst-16797	149	4	be	be	AUX
ajst-16797	149	5	enhanced	enhance	VERB
ajst-16797	149	6	to	to	PART
ajst-16797	149	7	handle	handle	VERB
ajst-16797	149	8	such	such	ADJ
ajst-16797	149	9	occlusion	occlusion	NOUN
ajst-16797	149	10	challenges	challenge	NOUN
ajst-16797	149	11	to	to	PART
ajst-16797	149	12	avoid	avoid	VERB
ajst-16797	149	13	damage	damage	NOUN
ajst-16797	149	14	to	to	ADP
ajst-16797	149	15	the	the	DET
ajst-16797	149	16	fruit	fruit	NOUN
ajst-16797	149	17	and	and	CCONJ
ajst-16797	149	18	ensure	ensure	VERB
ajst-16797	149	19	safe	safe	ADJ
ajst-16797	149	20	picking	picking	NOUN
ajst-16797	149	21	.	.	PUNCT
ajst-16797	150	1	fruit	fruit	NOUN
ajst-16797	150	2	identification	identification	NOUN
ajst-16797	150	3	:	:	PUNCT
ajst-16797	151	1	the	the	DET
ajst-16797	151	2	recognition	recognition	NOUN
ajst-16797	151	3	and	and	CCONJ
ajst-16797	151	4	classification	classification	NOUN
ajst-16797	151	5	of	of	ADP
ajst-16797	151	6	different	different	ADJ
ajst-16797	151	7	harvested	harvest	VERB
ajst-16797	151	8	fruits	fruit	NOUN
ajst-16797	151	9	,	,	PUNCT
ajst-16797	151	10	especially	especially	ADV
ajst-16797	151	11	those	those	PRON
ajst-16797	151	12	with	with	ADP
ajst-16797	151	13	similar	similar	ADJ
ajst-16797	151	14	colors	color	NOUN
ajst-16797	151	15	,	,	PUNCT
ajst-16797	151	16	shapes	shape	NOUN
ajst-16797	151	17	,	,	PUNCT
ajst-16797	151	18	and	and	CCONJ
ajst-16797	151	19	sizes	size	NOUN
ajst-16797	151	20	to	to	ADP
ajst-16797	151	21	apples	apple	NOUN
ajst-16797	151	22	,	,	PUNCT
ajst-16797	151	23	pose	pose	VERB
ajst-16797	151	24	challenges	challenge	NOUN
ajst-16797	151	25	.	.	PUNCT
ajst-16797	152	1	future	future	ADJ
ajst-16797	152	2	improvements	improvement	NOUN
ajst-16797	152	3	should	should	AUX
ajst-16797	152	4	focus	focus	VERB
ajst-16797	152	5	on	on	ADP
ajst-16797	152	6	enhancing	enhance	VERB
ajst-16797	152	7	the	the	DET
ajst-16797	152	8	model	model	NOUN
ajst-16797	152	9	's	's	PART
ajst-16797	152	10	ability	ability	NOUN
ajst-16797	152	11	to	to	PART
ajst-16797	152	12	accurately	accurately	ADV
ajst-16797	152	13	identify	identify	VERB
ajst-16797	152	14	and	and	CCONJ
ajst-16797	152	15	differentiate	differentiate	VERB
ajst-16797	152	16	apples	apple	NOUN
ajst-16797	152	17	from	from	ADP
ajst-16797	152	18	other	other	ADJ
ajst-16797	152	19	fruits	fruit	NOUN
ajst-16797	152	20	.	.	PUNCT
ajst-16797	153	1	promotion	promotion	NOUN
ajst-16797	153	2	and	and	CCONJ
ajst-16797	153	3	deployment	deployment	NOUN
ajst-16797	153	4	:	:	PUNCT
ajst-16797	153	5	to	to	PART
ajst-16797	153	6	promote	promote	VERB
ajst-16797	153	7	and	and	CCONJ
ajst-16797	153	8	deploy	deploy	VERB
ajst-16797	153	9	the	the	DET
ajst-16797	153	10	apple	apple	NOUN
ajst-16797	153	11	image	image	NOUN
ajst-16797	153	12	recognition	recognition	NOUN
ajst-16797	153	13	model	model	NOUN
ajst-16797	153	14	,	,	PUNCT
ajst-16797	153	15	the	the	DET
ajst-16797	153	16	following	follow	VERB
ajst-16797	153	17	steps	step	NOUN
ajst-16797	153	18	can	can	AUX
ajst-16797	153	19	be	be	AUX
ajst-16797	153	20	taken	take	VERB
ajst-16797	153	21	:	:	PUNCT
ajst-16797	153	22	collaborate	collaborate	VERB
ajst-16797	153	23	with	with	ADP
ajst-16797	153	24	agricultural	agricultural	ADJ
ajst-16797	153	25	institutions	institution	NOUN
ajst-16797	153	26	:	:	PUNCT
ajst-16797	153	27	partner	partner	NOUN
ajst-16797	153	28	with	with	ADP
ajst-16797	153	29	agricultural	agricultural	ADJ
ajst-16797	153	30	research	research	NOUN
ajst-16797	153	31	institutions	institution	NOUN
ajst-16797	153	32	and	and	CCONJ
ajst-16797	153	33	organizations	organization	NOUN
ajst-16797	153	34	to	to	PART
ajst-16797	153	35	validate	validate	VERB
ajst-16797	153	36	and	and	CCONJ
ajst-16797	153	37	refine	refine	VERB
ajst-16797	153	38	the	the	DET
ajst-16797	153	39	model	model	NOUN
ajst-16797	153	40	using	use	VERB
ajst-16797	153	41	real	real	ADJ
ajst-16797	153	42	-	-	PUNCT
ajst-16797	153	43	world	world	NOUN
ajst-16797	153	44	orchard	orchard	NOUN
ajst-16797	153	45	datasets	dataset	NOUN
ajst-16797	153	46	.	.	PUNCT
ajst-16797	154	1	this	this	DET
ajst-16797	154	2	collaboration	collaboration	NOUN
ajst-16797	154	3	will	will	AUX
ajst-16797	154	4	help	help	VERB
ajst-16797	154	5	tailor	tailor	VERB
ajst-16797	154	6	the	the	DET
ajst-16797	154	7	model	model	NOUN
ajst-16797	154	8	to	to	ADP
ajst-16797	154	9	different	different	ADJ
ajst-16797	154	10	orchard	orchard	ADJ
ajst-16797	154	11	environments	environment	NOUN
ajst-16797	154	12	and	and	CCONJ
ajst-16797	154	13	improve	improve	VERB
ajst-16797	154	14	its	its	PRON
ajst-16797	154	15	robustness	robustness	NOUN
ajst-16797	154	16	.	.	PUNCT
ajst-16797	155	1	industry	industry	NOUN
ajst-16797	155	2	adoption	adoption	NOUN
ajst-16797	155	3	:	:	PUNCT
ajst-16797	155	4	collaborate	collaborate	VERB
ajst-16797	155	5	with	with	ADP
ajst-16797	155	6	apple	apple	NOUN
ajst-16797	155	7	producers	producer	NOUN
ajst-16797	155	8	and	and	CCONJ
ajst-16797	155	9	farmers	farmer	NOUN
ajst-16797	155	10	to	to	PART
ajst-16797	155	11	pilot	pilot	VERB
ajst-16797	155	12	test	test	VERB
ajst-16797	155	13	the	the	DET
ajst-16797	155	14	model	model	NOUN
ajst-16797	155	15	in	in	ADP
ajst-16797	155	16	their	their	PRON
ajst-16797	155	17	orchards	orchard	NOUN
ajst-16797	155	18	.	.	PUNCT
ajst-16797	156	1	gather	gather	VERB
ajst-16797	156	2	feedback	feedback	NOUN
ajst-16797	156	3	,	,	PUNCT
ajst-16797	156	4	make	make	VERB
ajst-16797	156	5	necessary	necessary	ADJ
ajst-16797	156	6	adjustments	adjustment	NOUN
ajst-16797	156	7	,	,	PUNCT
ajst-16797	156	8	and	and	CCONJ
ajst-16797	156	9	demonstrate	demonstrate	VERB
ajst-16797	156	10	the	the	DET
ajst-16797	156	11	benefits	benefit	NOUN
ajst-16797	156	12	of	of	ADP
ajst-16797	156	13	the	the	DET
ajst-16797	156	14	model	model	NOUN
ajst-16797	156	15	in	in	ADP
ajst-16797	156	16	terms	term	NOUN
ajst-16797	156	17	of	of	ADP
ajst-16797	156	18	increased	increase	VERB
ajst-16797	156	19	efficiency	efficiency	NOUN
ajst-16797	156	20	,	,	PUNCT
ajst-16797	156	21	reduced	reduce	VERB
ajst-16797	156	22	labor	labor	NOUN
ajst-16797	156	23	requirements	requirement	NOUN
ajst-16797	156	24	,	,	PUNCT
ajst-16797	156	25	and	and	CCONJ
ajst-16797	156	26	improved	improve	VERB
ajst-16797	156	27	fruit	fruit	NOUN
ajst-16797	156	28	quality	quality	NOUN
ajst-16797	156	29	.	.	PUNCT
ajst-16797	157	1	training	training	NOUN
ajst-16797	157	2	and	and	CCONJ
ajst-16797	157	3	support	support	NOUN
ajst-16797	157	4	:	:	PUNCT
ajst-16797	157	5	provide	provide	VERB
ajst-16797	157	6	training	training	NOUN
ajst-16797	157	7	programs	program	NOUN
ajst-16797	157	8	and	and	CCONJ
ajst-16797	157	9	technical	technical	ADJ
ajst-16797	157	10	support	support	NOUN
ajst-16797	157	11	to	to	PART
ajst-16797	157	12	orchard	orchard	ADJ
ajst-16797	157	13	owners	owner	NOUN
ajst-16797	157	14	and	and	CCONJ
ajst-16797	157	15	workers	worker	NOUN
ajst-16797	157	16	to	to	PART
ajst-16797	157	17	ensure	ensure	VERB
ajst-16797	157	18	proper	proper	ADJ
ajst-16797	157	19	utilization	utilization	NOUN
ajst-16797	157	20	of	of	ADP
ajst-16797	157	21	the	the	DET
ajst-16797	157	22	model	model	NOUN
ajst-16797	157	23	.	.	PUNCT
ajst-16797	158	1	this	this	PRON
ajst-16797	158	2	includes	include	VERB
ajst-16797	158	3	training	training	NOUN
ajst-16797	158	4	on	on	ADP
ajst-16797	158	5	image	image	NOUN
ajst-16797	158	6	capture	capture	NOUN
ajst-16797	158	7	,	,	PUNCT
ajst-16797	158	8	data	datum	NOUN
ajst-16797	158	9	processing	processing	NOUN
ajst-16797	158	10	,	,	PUNCT
ajst-16797	158	11	and	and	CCONJ
ajst-16797	158	12	interpretation	interpretation	NOUN
ajst-16797	158	13	of	of	ADP
ajst-16797	158	14	the	the	DET
ajst-16797	158	15	model	model	NOUN
ajst-16797	158	16	's	's	PART
ajst-16797	158	17	results	result	NOUN
ajst-16797	158	18	.	.	PUNCT
ajst-16797	159	1	continuous	continuous	ADJ
ajst-16797	159	2	improvement	improvement	NOUN
ajst-16797	159	3	:	:	PUNCT
ajst-16797	159	4	regularly	regularly	ADV
ajst-16797	159	5	update	update	VERB
ajst-16797	159	6	and	and	CCONJ
ajst-16797	159	7	refine	refine	VERB
ajst-16797	159	8	the	the	DET
ajst-16797	159	9	model	model	NOUN
ajst-16797	159	10	based	base	VERB
ajst-16797	159	11	on	on	ADP
ajst-16797	159	12	feedback	feedback	NOUN
ajst-16797	159	13	and	and	CCONJ
ajst-16797	159	14	advances	advance	NOUN
ajst-16797	159	15	in	in	ADP
ajst-16797	159	16	image	image	NOUN
ajst-16797	159	17	processing	processing	NOUN
ajst-16797	159	18	and	and	CCONJ
ajst-16797	159	19	machine	machine	NOUN
ajst-16797	159	20	learning	learn	VERB
ajst-16797	159	21	techniques	technique	NOUN
ajst-16797	159	22	.	.	PUNCT
ajst-16797	160	1	continuously	continuously	ADV
ajst-16797	160	2	gather	gather	VERB
ajst-16797	160	3	data	datum	NOUN
ajst-16797	160	4	from	from	ADP
ajst-16797	160	5	deployed	deploy	VERB
ajst-16797	160	6	systems	system	NOUN
ajst-16797	160	7	to	to	PART
ajst-16797	160	8	improve	improve	VERB
ajst-16797	160	9	the	the	DET
ajst-16797	160	10	model	model	NOUN
ajst-16797	160	11	's	's	PART
ajst-16797	160	12	accuracy	accuracy	NOUN
ajst-16797	160	13	and	and	CCONJ
ajst-16797	160	14	adaptability	adaptability	NOUN
ajst-16797	160	15	.	.	PUNCT
ajst-16797	161	1	references	reference	NOUN
ajst-16797	161	2	[	[	X
ajst-16797	161	3	1	1	NUM
ajst-16797	161	4	]	]	X
ajst-16797	161	5	smith	smith	PROPN
ajst-16797	161	6	,	,	PUNCT
ajst-16797	161	7	j.	j.	PROPN
ajst-16797	161	8	,	,	PUNCT
ajst-16797	161	9	et	et	PROPN
ajst-16797	161	10	al	al	PROPN
ajst-16797	161	11	.	.	PROPN
ajst-16797	161	12	(	(	PUNCT
ajst-16797	161	13	2021	2021	NUM
ajst-16797	161	14	)	)	PUNCT
ajst-16797	161	15	.	.	PUNCT
ajst-16797	162	1	advances	advance	NOUN
ajst-16797	162	2	in	in	ADP
ajst-16797	162	3	apple	apple	NOUN
ajst-16797	162	4	image	image	NOUN
ajst-16797	162	5	recognition	recognition	NOUN
ajst-16797	162	6	for	for	ADP
ajst-16797	162	7	automated	automate	VERB
ajst-16797	162	8	harvesting	harvesting	NOUN
ajst-16797	162	9	.	.	PUNCT
ajst-16797	163	1	journal	journal	NOUN
ajst-16797	163	2	of	of	ADP
ajst-16797	163	3	agricultural	agricultural	ADJ
ajst-16797	163	4	engineering	engineering	NOUN
ajst-16797	163	5	,	,	PUNCT
ajst-16797	163	6	45(2	45(2	NOUN
ajst-16797	163	7	)	)	PUNCT
ajst-16797	163	8	,	,	PUNCT
ajst-16797	163	9	67	67	NUM
ajst-16797	163	10	-	-	SYM
ajst-16797	163	11	82	82	NUM
ajst-16797	163	12	.	.	PUNCT
ajst-16797	164	1	[	[	X
ajst-16797	164	2	2	2	NUM
ajst-16797	164	3	]	]	X
ajst-16797	164	4	wang	wang	PROPN
ajst-16797	164	5	,	,	PUNCT
ajst-16797	164	6	l.	l.	PROPN
ajst-16797	164	7	,	,	PUNCT
ajst-16797	164	8	et	et	PROPN
ajst-16797	164	9	al	al	PROPN
ajst-16797	164	10	.	.	PROPN
ajst-16797	164	11	(	(	PUNCT
ajst-16797	164	12	2020	2020	NUM
ajst-16797	164	13	)	)	PUNCT
ajst-16797	164	14	.	.	PUNCT
ajst-16797	165	1	robust	robust	ADJ
ajst-16797	165	2	apple	apple	NOUN
ajst-16797	165	3	image	image	NOUN
ajst-16797	165	4	recognition	recognition	NOUN
ajst-16797	165	5	model	model	NOUN
ajst-16797	165	6	for	for	ADP
ajst-16797	165	7	orchard	orchard	ADJ
ajst-16797	165	8	environments	environment	NOUN
ajst-16797	165	9	.	.	PUNCT
ajst-16797	166	1	computers	computer	NOUN
ajst-16797	166	2	and	and	CCONJ
ajst-16797	166	3	electronics	electronic	NOUN
ajst-16797	166	4	in	in	ADP
ajst-16797	166	5	agriculture	agriculture	NOUN
ajst-16797	166	6	,	,	PUNCT
ajst-16797	166	7	176	176	NUM
ajst-16797	166	8	,	,	PUNCT
ajst-16797	166	9	125678	125678	NUM
ajst-16797	166	10	.	.	PUNCT
ajst-16797	167	1	231	231	NUM
ajst-16797	168	1	[	[	SYM
ajst-16797	168	2	3	3	NUM
ajst-16797	168	3	]	]	X
ajst-16797	168	4	zhang	zhang	PROPN
ajst-16797	168	5	,	,	PUNCT
ajst-16797	168	6	y.	y.	PROPN
ajst-16797	168	7	,	,	PUNCT
ajst-16797	168	8	et	et	PROPN
ajst-16797	168	9	al	al	PROPN
ajst-16797	168	10	.	.	PUNCT
ajst-16797	168	11	(	(	PUNCT
ajst-16797	168	12	2018	2018	NUM
ajst-16797	168	13	)	)	PUNCT
ajst-16797	168	14	.	.	PUNCT
ajst-16797	169	1	image	image	NOUN
ajst-16797	169	2	feature	feature	NOUN
ajst-16797	169	3	extraction	extraction	NOUN
ajst-16797	169	4	techniques	technique	NOUN
ajst-16797	169	5	for	for	ADP
ajst-16797	169	6	apple	apple	NOUN
ajst-16797	169	7	image	image	NOUN
ajst-16797	169	8	recognition	recognition	NOUN
ajst-16797	169	9	.	.	PUNCT
ajst-16797	170	1	computers	computer	NOUN
ajst-16797	170	2	and	and	CCONJ
ajst-16797	170	3	electronics	electronic	NOUN
ajst-16797	170	4	in	in	ADP
ajst-16797	170	5	agriculture	agriculture	NOUN
ajst-16797	170	6	,	,	PUNCT
ajst-16797	170	7	145	145	NUM
ajst-16797	170	8	,	,	PUNCT
ajst-16797	170	9	123	123	NUM
ajst-16797	170	10	-	-	SYM
ajst-16797	170	11	135	135	NUM
ajst-16797	170	12	.	.	PUNCT
ajst-16797	171	1	[	[	X
ajst-16797	171	2	4	4	NUM
ajst-16797	171	3	]	]	X
ajst-16797	171	4	chen	chen	PROPN
ajst-16797	171	5	,	,	PUNCT
ajst-16797	171	6	s.	s.	PROPN
ajst-16797	171	7	,	,	PUNCT
ajst-16797	171	8	et	et	PROPN
ajst-16797	171	9	al	al	PROPN
ajst-16797	171	10	.	.	PUNCT
ajst-16797	171	11	(	(	PUNCT
ajst-16797	171	12	2017	2017	NUM
ajst-16797	171	13	)	)	PUNCT
ajst-16797	171	14	.	.	PUNCT
ajst-16797	172	1	mathematical	mathematical	ADJ
ajst-16797	172	2	modeling	modeling	NOUN
ajst-16797	172	3	for	for	ADP
ajst-16797	172	4	apple	apple	NOUN
ajst-16797	172	5	maturity	maturity	NOUN
ajst-16797	172	6	assessment	assessment	NOUN
ajst-16797	172	7	based	base	VERB
ajst-16797	172	8	on	on	ADP
ajst-16797	172	9	image	image	NOUN
ajst-16797	172	10	analysis	analysis	NOUN
ajst-16797	172	11	.	.	PUNCT
ajst-16797	173	1	biosystems	biosystems	PROPN
ajst-16797	173	2	engineering	engineering	PROPN
ajst-16797	173	3	,	,	PUNCT
ajst-16797	173	4	162	162	NUM
ajst-16797	173	5	,	,	PUNCT
ajst-16797	173	6	1	1	NUM
ajst-16797	173	7	-	-	SYM
ajst-16797	173	8	10	10	NUM
ajst-16797	173	9	.	.	PUNCT
ajst-16797	174	1	[	[	X
ajst-16797	174	2	5	5	NUM
ajst-16797	174	3	]	]	X
ajst-16797	174	4	liu	liu	PROPN
ajst-16797	174	5	,	,	PUNCT
ajst-16797	174	6	q.	q.	PROPN
ajst-16797	174	7	,	,	PUNCT
ajst-16797	174	8	et	et	PROPN
ajst-16797	174	9	al	al	PROPN
ajst-16797	174	10	.	.	PUNCT
ajst-16797	175	1	(	(	PUNCT
ajst-16797	175	2	2016	2016	NUM
ajst-16797	175	3	)	)	PUNCT
ajst-16797	175	4	.	.	PUNCT
ajst-16797	176	1	mass	mass	PROPN
ajst-16797	176	2	estimation	estimation	NOUN
ajst-16797	176	3	of	of	ADP
ajst-16797	176	4	apples	apple	NOUN
ajst-16797	176	5	based	base	VERB
ajst-16797	176	6	on	on	ADP
ajst-16797	176	7	image	image	NOUN
ajst-16797	176	8	processing	processing	NOUN
ajst-16797	176	9	and	and	CCONJ
ajst-16797	176	10	mathematical	mathematical	ADJ
ajst-16797	176	11	modeling	modeling	NOUN
ajst-16797	176	12	.	.	PUNCT
ajst-16797	177	1	journal	journal	NOUN
ajst-16797	177	2	of	of	ADP
ajst-16797	177	3	food	food	NOUN
ajst-16797	177	4	engineering	engineering	NOUN
ajst-16797	177	5	,	,	PUNCT
ajst-16797	177	6	187	187	NUM
ajst-16797	177	7	,	,	PUNCT
ajst-16797	177	8	52	52	NUM
ajst-16797	177	9	-	-	SYM
ajst-16797	177	10	61	61	NUM
ajst-16797	177	11	.	.	PUNCT
ajst-16797	178	1	appendix	appendix	VERB
ajst-16797	178	2	%	%	NOUN
ajst-16797	178	3	load	load	NOUN
ajst-16797	178	4	and	and	CCONJ
ajst-16797	178	5	preprocess	preprocess	NOUN
ajst-16797	178	6	the	the	DET
ajst-16797	178	7	images	image	NOUN
ajst-16797	178	8	imagefiles	imagefile	NOUN
ajst-16797	178	9	=	=	PUNCT
ajst-16797	178	10	dir('path_to_image_folder/*.jpg	dir('path_to_image_folder/*.jpg	NOUN
ajst-16797	178	11	'	'	PUNCT
ajst-16797	178	12	)	)	PUNCT
ajst-16797	178	13	;	;	PUNCT
ajst-16797	178	14	%	%	X
ajst-16797	178	15	replace	replace	VERB
ajst-16797	178	16	'	'	PUNCT
ajst-16797	178	17	path_to_image_folder	path_to_image_folder	NOUN
ajst-16797	178	18	'	'	PUNCT
ajst-16797	178	19	with	with	ADP
ajst-16797	178	20	the	the	DET
ajst-16797	178	21	actual	actual	ADJ
ajst-16797	178	22	folder	folder	NOUN
ajst-16797	178	23	path	path	NOUN
ajst-16797	178	24	numimages	numimage	NOUN
ajst-16797	178	25	=	=	SYM
ajst-16797	178	26	length(imagefiles	length(imagefile	NOUN
ajst-16797	178	27	)	)	PUNCT
ajst-16797	178	28	;	;	PUNCT
ajst-16797	178	29	for	for	ADP
ajst-16797	178	30	i	i	PRON
ajst-16797	178	31	=	=	NOUN
ajst-16797	178	32	1	1	NUM
ajst-16797	178	33	:	:	PUNCT
ajst-16797	178	34	numimages	numimage	NOUN
ajst-16797	178	35	image	image	NOUN
ajst-16797	178	36	=	=	SYM
ajst-16797	178	37	imread(fullfile(imagefiles(i).folder	imread(fullfile(imagefiles(i).folder	NOUN
ajst-16797	178	38	,	,	PUNCT
ajst-16797	178	39	imagefiles(i).name	imagefiles(i).name	ADJ
ajst-16797	178	40	)	)	PUNCT
ajst-16797	178	41	)	)	PUNCT
ajst-16797	179	1	;	;	PUNCT
ajst-16797	179	2	%	%	INTJ
ajst-16797	179	3	apply	apply	VERB
ajst-16797	179	4	preprocessing	preprocessing	NOUN
ajst-16797	179	5	steps	step	NOUN
ajst-16797	179	6	(	(	PUNCT
ajst-16797	179	7	e.g.	e.g.	ADV
ajst-16797	179	8	,	,	PUNCT
ajst-16797	179	9	resizing	resizing	NOUN
ajst-16797	179	10	,	,	PUNCT
ajst-16797	179	11	denoising	denoising	NOUN
ajst-16797	179	12	,	,	PUNCT
ajst-16797	179	13	contrast	contrast	NOUN
ajst-16797	179	14	adjustment	adjustment	NOUN
ajst-16797	179	15	)	)	PUNCT
ajst-16797	179	16	%	%	NOUN
ajst-16797	179	17	...	...	PUNCT
ajst-16797	180	1	%	%	NOUN
ajst-16797	180	2	apple	apple	NOUN
ajst-16797	180	3	detection	detection	NOUN
ajst-16797	180	4	%	%	NOUN
ajst-16797	180	5	apply	apply	VERB
ajst-16797	180	6	apple	apple	NOUN
ajst-16797	180	7	detection	detection	NOUN
ajst-16797	180	8	algorithm	algorithm	NOUN
ajst-16797	180	9	to	to	PART
ajst-16797	180	10	identify	identify	VERB
ajst-16797	180	11	and	and	CCONJ
ajst-16797	180	12	locate	locate	VERB
ajst-16797	180	13	apples	apple	NOUN
ajst-16797	180	14	in	in	ADP
ajst-16797	180	15	the	the	DET
ajst-16797	180	16	image	image	NOUN
ajst-16797	180	17	%	%	NOUN
ajst-16797	180	18	...	...	PUNCT
ajst-16797	181	1	%	%	INTJ
ajst-16797	181	2	apple	apple	NOUN
ajst-16797	181	3	counting	counting	NOUN
ajst-16797	181	4	numapples	numapple	NOUN
ajst-16797	181	5	=	=	SYM
ajst-16797	181	6	countapples(appleobjects	countapples(appleobjects	PROPN
ajst-16797	181	7	)	)	PUNCT
ajst-16797	181	8	;	;	PUNCT
ajst-16797	181	9	%	%	X
ajst-16797	181	10	replace	replace	VERB
ajst-16797	181	11	'	'	PUNCT
ajst-16797	181	12	countapples	countapple	NOUN
ajst-16797	181	13	'	'	PUNCT
ajst-16797	181	14	with	with	ADP
ajst-16797	181	15	the	the	DET
ajst-16797	181	16	appropriate	appropriate	ADJ
ajst-16797	181	17	counting	counting	NOUN
ajst-16797	181	18	algorithm	algorithm	NOUN
ajst-16797	181	19	%	%	NOUN
ajst-16797	181	20	store	store	NOUN
ajst-16797	181	21	the	the	DET
ajst-16797	181	22	count	count	NOUN
ajst-16797	181	23	in	in	ADP
ajst-16797	181	24	an	an	DET
ajst-16797	181	25	array	array	NOUN
ajst-16797	181	26	applecounts(i	applecounts(i	NOUN
ajst-16797	181	27	)	)	PUNCT
ajst-16797	181	28	=	=	SYM
ajst-16797	181	29	numapples	numapple	NOUN
ajst-16797	181	30	;	;	PUNCT
ajst-16797	181	31	end	end	NOUN
ajst-16797	181	32	%	%	NOUN
ajst-16797	181	33	generate	generate	VERB
ajst-16797	181	34	histogram	histogram	NOUN
ajst-16797	181	35	histogram(applecounts	histogram(applecount	NOUN
ajst-16797	181	36	)	)	PUNCT
ajst-16797	181	37	;	;	PUNCT
ajst-16797	181	38	xlabel('number	xlabel('number	PROPN
ajst-16797	181	39	of	of	ADP
ajst-16797	181	40	apples	apple	NOUN
ajst-16797	181	41	'	'	PART
ajst-16797	181	42	)	)	PUNCT
ajst-16797	181	43	;	;	PUNCT
ajst-16797	181	44	ylabel('frequency	ylabel('frequency	NOUN
ajst-16797	181	45	'	'	PUNCT
ajst-16797	181	46	)	)	PUNCT
ajst-16797	181	47	;	;	PUNCT
ajst-16797	181	48	title('distribution	title('distribution	NOUN
ajst-16797	181	49	of	of	ADP
ajst-16797	181	50	apple	apple	NOUN
ajst-16797	181	51	counts	count	NOUN
ajst-16797	181	52	'	'	PART
ajst-16797	181	53	)	)	PUNCT
ajst-16797	181	54	;	;	PUNCT
ajst-16797	181	55	%	%	NOUN
ajst-16797	181	56	function	function	NOUN
ajst-16797	181	57	to	to	PART
ajst-16797	181	58	count	count	VERB
ajst-16797	181	59	the	the	DET
ajst-16797	181	60	apples	apple	NOUN
ajst-16797	181	61	(	(	PUNCT
ajst-16797	181	62	example	example	NOUN
ajst-16797	181	63	using	use	VERB
ajst-16797	181	64	connected	connected	ADJ
ajst-16797	181	65	component	component	NOUN
ajst-16797	181	66	analysis	analysis	NOUN
ajst-16797	181	67	)	)	PUNCT
ajst-16797	181	68	function	function	NOUN
ajst-16797	181	69	numapples	numapple	NOUN
ajst-16797	181	70	=	=	SYM
ajst-16797	181	71	countapples(appleobjects	countapples(appleobjects	PROPN
ajst-16797	181	72	)	)	PUNCT
ajst-16797	181	73	%	%	NOUN
ajst-16797	181	74	apply	apply	VERB
ajst-16797	181	75	connected	connect	VERB
ajst-16797	181	76	component	component	NOUN
ajst-16797	181	77	analysis	analysis	NOUN
ajst-16797	181	78	to	to	PART
ajst-16797	181	79	count	count	VERB
ajst-16797	181	80	the	the	DET
ajst-16797	181	81	distinct	distinct	ADJ
ajst-16797	181	82	apple	apple	NOUN
ajst-16797	181	83	objects	object	VERB
ajst-16797	181	84	%	%	NOUN
ajst-16797	181	85	...	...	PUNCT
ajst-16797	182	1	numapples	numapple	NOUN
ajst-16797	182	2	=	=	PUNCT
ajst-16797	182	3	numel(appleobjects	numel(appleobject	NOUN
ajst-16797	182	4	)	)	PUNCT
ajst-16797	182	5	;	;	PUNCT
ajst-16797	182	6	end	end	VERB