id	sid	tid	token	lemma	pos
ajst-5473	1	1	academic	academic	ADJ
ajst-5473	1	2	journal	journal	NOUN
ajst-5473	1	3	of	of	ADP
ajst-5473	1	4	science	science	NOUN
ajst-5473	1	5	and	and	CCONJ
ajst-5473	1	6	technology	technology	NOUN
ajst-5473	1	7	issn	issn	NOUN
ajst-5473	1	8	:	:	PUNCT
ajst-5473	1	9	2771	2771	NUM
ajst-5473	1	10	-	-	SYM
ajst-5473	1	11	3032	3032	NUM
ajst-5473	1	12	|	|	NOUN
ajst-5473	1	13	vol	vol	NOUN
ajst-5473	1	14	.	.	PROPN
ajst-5473	2	1	5	5	NUM
ajst-5473	2	2	,	,	PUNCT
ajst-5473	2	3	no	no	INTJ
ajst-5473	2	4	.	.	NOUN
ajst-5473	2	5	1	1	NUM
ajst-5473	2	6	,	,	PUNCT
ajst-5473	2	7	2023	2023	NUM
ajst-5473	2	8	136	136	NUM
ajst-5473	2	9	research	research	NOUN
ajst-5473	2	10	on	on	ADP
ajst-5473	2	11	navigation	navigation	NOUN
ajst-5473	2	12	line	line	NOUN
ajst-5473	2	13	extraction	extraction	NOUN
ajst-5473	2	14	algorithm	algorithm	NOUN
ajst-5473	2	15	based	base	VERB
ajst-5473	2	16	on	on	ADP
ajst-5473	2	17	onion	onion	NOUN
ajst-5473	2	18	ridge	ridge	NOUN
ajst-5473	2	19	edge	edge	NOUN
ajst-5473	2	20	features	feature	VERB
ajst-5473	2	21	yangqian	yangqian	ADJ
ajst-5473	2	22	ren1	ren1	PROPN
ajst-5473	2	23	,	,	PUNCT
ajst-5473	2	24	yong	yong	PROPN
ajst-5473	2	25	yang1	yang1	PROPN
ajst-5473	2	26	,	,	PUNCT
ajst-5473	2	27	*	*	PUNCT
ajst-5473	2	28	,	,	PUNCT
ajst-5473	2	29	haibo	haibo	ADJ
ajst-5473	2	30	wang	wang	PROPN
ajst-5473	2	31	2	2	NUM
ajst-5473	2	32	,	,	PUNCT
ajst-5473	2	33	dong	dong	PROPN
ajst-5473	2	34	wang2	wang2	PROPN
ajst-5473	3	1	1	1	NUM
ajst-5473	3	2	academy	academy	NOUN
ajst-5473	3	3	of	of	ADP
ajst-5473	3	4	mechanical	mechanical	ADJ
ajst-5473	3	5	and	and	CCONJ
ajst-5473	3	6	automotive	automotive	ADJ
ajst-5473	3	7	engineering	engineering	NOUN
ajst-5473	3	8	,	,	PUNCT
ajst-5473	3	9	qingdao	qingdao	PROPN
ajst-5473	3	10	university	university	PROPN
ajst-5473	3	11	of	of	ADP
ajst-5473	3	12	technology	technology	PROPN
ajst-5473	3	13	,	,	PUNCT
ajst-5473	3	14	qingdao	qingdao	PROPN
ajst-5473	3	15	,	,	PUNCT
ajst-5473	3	16	266520	266520	NUM
ajst-5473	3	17	,	,	PUNCT
ajst-5473	3	18	china	china	PROPN
ajst-5473	3	19	2	2	NUM
ajst-5473	3	20	qingdao	qingdao	PROPN
ajst-5473	3	21	special	special	PROPN
ajst-5473	3	22	steel	steel	PROPN
ajst-5473	3	23	co.	co.	PROPN
ajst-5473	3	24	,	,	PUNCT
ajst-5473	3	25	ltd	ltd	PROPN
ajst-5473	3	26	,	,	PUNCT
ajst-5473	3	27	qingdao	qingdao	PROPN
ajst-5473	3	28	,	,	PUNCT
ajst-5473	3	29	266409	266409	NUM
ajst-5473	3	30	,	,	PUNCT
ajst-5473	3	31	china	china	PROPN
ajst-5473	3	32	*	*	PUNCT
ajst-5473	3	33	corresponding	correspond	VERB
ajst-5473	3	34	author	author	NOUN
ajst-5473	3	35	:	:	PUNCT
ajst-5473	3	36	yong	yong	PROPN
ajst-5473	3	37	yang	yang	PROPN
ajst-5473	3	38	(	(	PUNCT
ajst-5473	3	39	email	email	NOUN
ajst-5473	3	40	:	:	PUNCT
ajst-5473	3	41	yyong901@163.com	yyong901@163.com	X
ajst-5473	3	42	)	)	PUNCT
ajst-5473	3	43	abstract	abstract	NOUN
ajst-5473	3	44	:	:	PUNCT
ajst-5473	3	45	aiming	aim	VERB
ajst-5473	3	46	at	at	ADP
ajst-5473	3	47	the	the	DET
ajst-5473	3	48	phenomenon	phenomenon	NOUN
ajst-5473	3	49	that	that	SCONJ
ajst-5473	3	50	the	the	DET
ajst-5473	3	51	existing	exist	VERB
ajst-5473	3	52	shallot	shallot	NOUN
ajst-5473	3	53	harvester	harvester	NOUN
ajst-5473	3	54	can	can	AUX
ajst-5473	3	55	not	not	PART
ajst-5473	3	56	realize	realize	VERB
ajst-5473	3	57	the	the	DET
ajst-5473	3	58	automatic	automatic	ADJ
ajst-5473	3	59	operation	operation	NOUN
ajst-5473	3	60	in	in	ADP
ajst-5473	3	61	the	the	DET
ajst-5473	3	62	harvesting	harvesting	NOUN
ajst-5473	3	63	process	process	NOUN
ajst-5473	3	64	of	of	ADP
ajst-5473	3	65	green	green	ADJ
ajst-5473	3	66	onion	onion	NOUN
ajst-5473	3	67	,	,	PUNCT
ajst-5473	3	68	a	a	DET
ajst-5473	3	69	navigation	navigation	NOUN
ajst-5473	3	70	path	path	NOUN
ajst-5473	3	71	acquisition	acquisition	NOUN
ajst-5473	3	72	method	method	NOUN
ajst-5473	3	73	of	of	ADP
ajst-5473	3	74	green	green	ADJ
ajst-5473	3	75	onion	onion	NOUN
ajst-5473	3	76	harvester	harvester	NOUN
ajst-5473	3	77	is	be	AUX
ajst-5473	3	78	proposed	propose	VERB
ajst-5473	3	79	,	,	PUNCT
ajst-5473	3	80	which	which	PRON
ajst-5473	3	81	is	be	AUX
ajst-5473	3	82	applied	apply	VERB
ajst-5473	3	83	to	to	ADP
ajst-5473	3	84	the	the	DET
ajst-5473	3	85	automatic	automatic	ADJ
ajst-5473	3	86	driving	driving	NOUN
ajst-5473	3	87	of	of	ADP
ajst-5473	3	88	the	the	DET
ajst-5473	3	89	shallot	shallot	NOUN
ajst-5473	3	90	harvester	harvester	NOUN
ajst-5473	3	91	.	.	PUNCT
ajst-5473	4	1	firstly	firstly	ADV
ajst-5473	4	2	,	,	PUNCT
ajst-5473	4	3	the	the	DET
ajst-5473	4	4	original	original	ADJ
ajst-5473	4	5	image	image	NOUN
ajst-5473	4	6	is	be	AUX
ajst-5473	4	7	grayed	gray	VERB
ajst-5473	4	8	by	by	ADP
ajst-5473	4	9	g	g	NOUN
ajst-5473	4	10	-	-	PUNCT
ajst-5473	4	11	r	r	NOUN
ajst-5473	4	12	algorithm	algorithm	NOUN
ajst-5473	4	13	,	,	PUNCT
ajst-5473	4	14	and	and	CCONJ
ajst-5473	4	15	then	then	ADV
ajst-5473	4	16	the	the	DET
ajst-5473	4	17	gray	gray	ADJ
ajst-5473	4	18	image	image	NOUN
ajst-5473	4	19	is	be	AUX
ajst-5473	4	20	segmented	segment	VERB
ajst-5473	4	21	by	by	ADP
ajst-5473	4	22	maximum	maximum	ADJ
ajst-5473	4	23	inter	inter	ADJ
ajst-5473	4	24	-	-	ADJ
ajst-5473	4	25	class	class	ADJ
ajst-5473	4	26	variance	variance	NOUN
ajst-5473	4	27	method	method	NOUN
ajst-5473	4	28	to	to	PART
ajst-5473	4	29	obtain	obtain	VERB
ajst-5473	4	30	binaryized	binaryize	VERB
ajst-5473	4	31	image	image	NOUN
ajst-5473	4	32	;	;	PUNCT
ajst-5473	4	33	secondly	secondly	ADV
ajst-5473	4	34	,	,	PUNCT
ajst-5473	4	35	the	the	DET
ajst-5473	4	36	morphological	morphological	ADJ
ajst-5473	4	37	operation	operation	NOUN
ajst-5473	4	38	is	be	AUX
ajst-5473	4	39	applied	apply	VERB
ajst-5473	4	40	to	to	ADP
ajst-5473	4	41	the	the	DET
ajst-5473	4	42	binary	binary	ADJ
ajst-5473	4	43	map	map	NOUN
ajst-5473	4	44	for	for	ADP
ajst-5473	4	45	noise	noise	NOUN
ajst-5473	4	46	reduction	reduction	NOUN
ajst-5473	4	47	processing	processing	NOUN
ajst-5473	4	48	and	and	CCONJ
ajst-5473	4	49	hole	hole	NOUN
ajst-5473	4	50	filling	fill	VERB
ajst-5473	4	51	to	to	PART
ajst-5473	4	52	obtain	obtain	VERB
ajst-5473	4	53	the	the	DET
ajst-5473	4	54	green	green	PROPN
ajst-5473	4	55	onion	onion	NOUN
ajst-5473	4	56	ridge	ridge	NOUN
ajst-5473	4	57	with	with	ADP
ajst-5473	4	58	good	good	ADJ
ajst-5473	4	59	connectivity	connectivity	NOUN
ajst-5473	4	60	;	;	PUNCT
ajst-5473	4	61	then	then	ADV
ajst-5473	4	62	,	,	PUNCT
ajst-5473	4	63	according	accord	VERB
ajst-5473	4	64	to	to	ADP
ajst-5473	4	65	the	the	DET
ajst-5473	4	66	geometric	geometric	ADJ
ajst-5473	4	67	characteristics	characteristic	NOUN
ajst-5473	4	68	of	of	ADP
ajst-5473	4	69	the	the	DET
ajst-5473	4	70	green	green	PROPN
ajst-5473	4	71	onion	onion	PROPN
ajst-5473	4	72	ridge	ridge	PROPN
ajst-5473	4	73	,	,	PUNCT
ajst-5473	4	74	the	the	DET
ajst-5473	4	75	left	left	ADJ
ajst-5473	4	76	and	and	CCONJ
ajst-5473	4	77	right	right	ADJ
ajst-5473	4	78	edge	edge	NOUN
ajst-5473	4	79	feature	feature	NOUN
ajst-5473	4	80	points	point	NOUN
ajst-5473	4	81	of	of	ADP
ajst-5473	4	82	the	the	DET
ajst-5473	4	83	green	green	PROPN
ajst-5473	4	84	onion	onion	PROPN
ajst-5473	4	85	ridge	ridge	NOUN
ajst-5473	4	86	are	be	AUX
ajst-5473	4	87	detected	detect	VERB
ajst-5473	4	88	,	,	PUNCT
ajst-5473	4	89	and	and	CCONJ
ajst-5473	4	90	the	the	DET
ajst-5473	4	91	midpoint	midpoint	NOUN
ajst-5473	4	92	of	of	ADP
ajst-5473	4	93	the	the	DET
ajst-5473	4	94	left	left	ADJ
ajst-5473	4	95	and	and	CCONJ
ajst-5473	4	96	right	right	ADJ
ajst-5473	4	97	edge	edge	NOUN
ajst-5473	4	98	feature	feature	NOUN
ajst-5473	4	99	points	point	NOUN
ajst-5473	4	100	is	be	AUX
ajst-5473	4	101	taken	take	VERB
ajst-5473	4	102	as	as	ADP
ajst-5473	4	103	the	the	DET
ajst-5473	4	104	navigation	navigation	NOUN
ajst-5473	4	105	key	key	ADJ
ajst-5473	4	106	point	point	NOUN
ajst-5473	4	107	;	;	PUNCT
ajst-5473	4	108	finally	finally	ADV
ajst-5473	4	109	,	,	PUNCT
ajst-5473	4	110	the	the	DET
ajst-5473	4	111	navigation	navigation	NOUN
ajst-5473	4	112	key	key	ADJ
ajst-5473	4	113	point	point	NOUN
ajst-5473	4	114	is	be	AUX
ajst-5473	4	115	fitted	fit	VERB
ajst-5473	4	116	with	with	ADP
ajst-5473	4	117	the	the	DET
ajst-5473	4	118	least	least	ADJ
ajst-5473	4	119	squares	square	NOUN
ajst-5473	4	120	method	method	NOUN
ajst-5473	4	121	.	.	PUNCT
ajst-5473	5	1	gets	get	VERB
ajst-5473	5	2	the	the	DET
ajst-5473	5	3	navigation	navigation	NOUN
ajst-5473	5	4	line	line	NOUN
ajst-5473	5	5	for	for	ADP
ajst-5473	5	6	the	the	DET
ajst-5473	5	7	green	green	PROPN
ajst-5473	5	8	onion	onion	PROPN
ajst-5473	5	9	ridge	ridge	PROPN
ajst-5473	5	10	.	.	PUNCT
ajst-5473	6	1	experimental	experimental	ADJ
ajst-5473	6	2	results	result	NOUN
ajst-5473	6	3	show	show	VERB
ajst-5473	6	4	that	that	SCONJ
ajst-5473	6	5	the	the	DET
ajst-5473	6	6	proposed	propose	VERB
ajst-5473	6	7	algorithm	algorithm	NOUN
ajst-5473	6	8	takes	take	VERB
ajst-5473	6	9	about	about	ADV
ajst-5473	6	10	71ms	71ms	NOUN
ajst-5473	6	11	to	to	PART
ajst-5473	6	12	process	process	VERB
ajst-5473	6	13	an	an	DET
ajst-5473	6	14	image	image	NOUN
ajst-5473	6	15	with	with	ADP
ajst-5473	6	16	a	a	DET
ajst-5473	6	17	resolution	resolution	NOUN
ajst-5473	6	18	of	of	ADP
ajst-5473	6	19	450	450	NUM
ajst-5473	6	20	pixels	pixel	NOUN
ajst-5473	6	21	and	and	CCONJ
ajst-5473	6	22	330	330	NUM
ajst-5473	6	23	pixels	pixel	NOUN
ajst-5473	6	24	,	,	PUNCT
ajst-5473	6	25	and	and	CCONJ
ajst-5473	6	26	the	the	DET
ajst-5473	6	27	average	average	ADJ
ajst-5473	6	28	error	error	NOUN
ajst-5473	6	29	angle	angle	NOUN
ajst-5473	6	30	of	of	ADP
ajst-5473	6	31	the	the	DET
ajst-5473	6	32	navigation	navigation	NOUN
ajst-5473	6	33	line	line	NOUN
ajst-5473	6	34	is	be	AUX
ajst-5473	6	35	0.649	0.649	NUM
ajst-5473	6	36	°	°	NOUN
ajst-5473	6	37	.	.	PUNCT
ajst-5473	7	1	the	the	DET
ajst-5473	7	2	algorithm	algorithm	NOUN
ajst-5473	7	3	can	can	AUX
ajst-5473	7	4	accurately	accurately	ADV
ajst-5473	7	5	and	and	CCONJ
ajst-5473	7	6	quickly	quickly	ADV
ajst-5473	7	7	extract	extract	VERB
ajst-5473	7	8	the	the	DET
ajst-5473	7	9	navigation	navigation	NOUN
ajst-5473	7	10	line	line	NOUN
ajst-5473	7	11	of	of	ADP
ajst-5473	7	12	the	the	DET
ajst-5473	7	13	green	green	PROPN
ajst-5473	7	14	onion	onion	PROPN
ajst-5473	7	15	ridge	ridge	NOUN
ajst-5473	7	16	,	,	PUNCT
ajst-5473	7	17	and	and	CCONJ
ajst-5473	7	18	can	can	AUX
ajst-5473	7	19	provide	provide	VERB
ajst-5473	7	20	accurate	accurate	ADJ
ajst-5473	7	21	navigation	navigation	NOUN
ajst-5473	7	22	information	information	NOUN
ajst-5473	7	23	for	for	ADP
ajst-5473	7	24	the	the	DET
ajst-5473	7	25	automatic	automatic	ADJ
ajst-5473	7	26	driving	driving	NOUN
ajst-5473	7	27	of	of	ADP
ajst-5473	7	28	the	the	DET
ajst-5473	7	29	green	green	ADJ
ajst-5473	7	30	onion	onion	NOUN
ajst-5473	7	31	harvester	harvester	NOUN
ajst-5473	7	32	.	.	PUNCT
ajst-5473	8	1	keywords	keyword	NOUN
ajst-5473	8	2	:	:	PUNCT
ajst-5473	8	3	green	green	ADJ
ajst-5473	8	4	onion	onion	NOUN
ajst-5473	8	5	harvester	harvester	NOUN
ajst-5473	8	6	,	,	PUNCT
ajst-5473	8	7	edge	edge	NOUN
ajst-5473	8	8	features	feature	NOUN
ajst-5473	8	9	,	,	PUNCT
ajst-5473	8	10	image	image	NOUN
ajst-5473	8	11	processing	processing	NOUN
ajst-5473	8	12	,	,	PUNCT
ajst-5473	8	13	navigation	navigation	NOUN
ajst-5473	8	14	line	line	NOUN
ajst-5473	8	15	.	.	PUNCT
ajst-5473	9	1	1	1	X
ajst-5473	9	2	.	.	X
ajst-5473	9	3	introduction	introduction	NOUN
ajst-5473	9	4	china	china	PROPN
ajst-5473	9	5	has	have	VERB
ajst-5473	9	6	a	a	DET
ajst-5473	9	7	long	long	ADJ
ajst-5473	9	8	history	history	NOUN
ajst-5473	9	9	of	of	ADP
ajst-5473	9	10	green	green	ADJ
ajst-5473	9	11	onion	onion	NOUN
ajst-5473	9	12	cultivation	cultivation	NOUN
ajst-5473	9	13	and	and	CCONJ
ajst-5473	9	14	is	be	AUX
ajst-5473	9	15	the	the	DET
ajst-5473	9	16	world	world	NOUN
ajst-5473	9	17	's	's	PART
ajst-5473	9	18	largest	large	ADJ
ajst-5473	9	19	producer	producer	NOUN
ajst-5473	9	20	and	and	CCONJ
ajst-5473	9	21	exporter	exporter	NOUN
ajst-5473	9	22	of	of	ADP
ajst-5473	9	23	green	green	ADJ
ajst-5473	9	24	onions	onion	NOUN
ajst-5473	9	25	[	[	X
ajst-5473	9	26	1	1	NUM
ajst-5473	9	27	]	]	PUNCT
ajst-5473	9	28	.	.	PUNCT
ajst-5473	10	1	the	the	DET
ajst-5473	10	2	green	green	PROPN
ajst-5473	10	3	onion	onion	NOUN
ajst-5473	10	4	industry	industry	NOUN
ajst-5473	10	5	has	have	AUX
ajst-5473	10	6	become	become	VERB
ajst-5473	10	7	a	a	DET
ajst-5473	10	8	pillar	pillar	NOUN
ajst-5473	10	9	industry	industry	NOUN
ajst-5473	10	10	in	in	ADP
ajst-5473	10	11	some	some	DET
ajst-5473	10	12	regions	region	NOUN
ajst-5473	10	13	of	of	ADP
ajst-5473	10	14	china	china	PROPN
ajst-5473	10	15	to	to	PART
ajst-5473	10	16	promote	promote	VERB
ajst-5473	10	17	the	the	DET
ajst-5473	10	18	sustainable	sustainable	ADJ
ajst-5473	10	19	development	development	NOUN
ajst-5473	10	20	of	of	ADP
ajst-5473	10	21	rural	rural	ADJ
ajst-5473	10	22	economy	economy	NOUN
ajst-5473	10	23	and	and	CCONJ
ajst-5473	10	24	a	a	DET
ajst-5473	10	25	major	major	ADJ
ajst-5473	10	26	economic	economic	ADJ
ajst-5473	10	27	source	source	NOUN
ajst-5473	10	28	to	to	PART
ajst-5473	10	29	increase	increase	VERB
ajst-5473	10	30	farmers	farmer	NOUN
ajst-5473	10	31	'	'	PART
ajst-5473	10	32	income	income	NOUN
ajst-5473	11	1	[	[	X
ajst-5473	11	2	2	2	NUM
ajst-5473	11	3	]	]	PUNCT
ajst-5473	11	4	.	.	PUNCT
ajst-5473	12	1	the	the	DET
ajst-5473	12	2	cultivation	cultivation	NOUN
ajst-5473	12	3	of	of	ADP
ajst-5473	12	4	green	green	ADJ
ajst-5473	12	5	onions	onion	NOUN
ajst-5473	12	6	requires	require	VERB
ajst-5473	12	7	multiple	multiple	ADJ
ajst-5473	12	8	production	production	NOUN
ajst-5473	12	9	links	link	NOUN
ajst-5473	12	10	,	,	PUNCT
ajst-5473	12	11	and	and	CCONJ
ajst-5473	12	12	the	the	DET
ajst-5473	12	13	harvesting	harvesting	NOUN
ajst-5473	12	14	of	of	ADP
ajst-5473	12	15	green	green	ADJ
ajst-5473	12	16	onions	onion	NOUN
ajst-5473	12	17	is	be	AUX
ajst-5473	12	18	the	the	DET
ajst-5473	12	19	most	most	ADV
ajst-5473	12	20	important	important	ADJ
ajst-5473	12	21	part	part	NOUN
ajst-5473	12	22	of	of	ADP
ajst-5473	12	23	the	the	DET
ajst-5473	12	24	green	green	ADJ
ajst-5473	12	25	onion	onion	NOUN
ajst-5473	12	26	industry	industry	NOUN
ajst-5473	12	27	.	.	PUNCT
ajst-5473	13	1	harvesting	harvesting	NOUN
ajst-5473	13	2	requires	require	VERB
ajst-5473	13	3	more	more	ADJ
ajst-5473	13	4	labor	labor	NOUN
ajst-5473	13	5	,	,	PUNCT
ajst-5473	13	6	and	and	CCONJ
ajst-5473	13	7	the	the	DET
ajst-5473	13	8	quality	quality	NOUN
ajst-5473	13	9	of	of	ADP
ajst-5473	13	10	harvesting	harvesting	NOUN
ajst-5473	13	11	determines	determine	VERB
ajst-5473	13	12	the	the	DET
ajst-5473	13	13	final	final	ADJ
ajst-5473	13	14	quality	quality	NOUN
ajst-5473	13	15	of	of	ADP
ajst-5473	13	16	green	green	ADJ
ajst-5473	13	17	onions	onion	NOUN
ajst-5473	13	18	[	[	X
ajst-5473	13	19	3	3	NUM
ajst-5473	13	20	]	]	PUNCT
ajst-5473	13	21	.	.	PUNCT
ajst-5473	14	1	in	in	ADP
ajst-5473	14	2	order	order	NOUN
ajst-5473	14	3	to	to	PART
ajst-5473	14	4	further	far	ADV
ajst-5473	14	5	promote	promote	VERB
ajst-5473	14	6	the	the	DET
ajst-5473	14	7	high	high	ADJ
ajst-5473	14	8	-	-	PUNCT
ajst-5473	14	9	quality	quality	NOUN
ajst-5473	14	10	development	development	NOUN
ajst-5473	14	11	of	of	ADP
ajst-5473	14	12	the	the	DET
ajst-5473	14	13	green	green	PROPN
ajst-5473	14	14	onion	onion	NOUN
ajst-5473	14	15	industry	industry	NOUN
ajst-5473	14	16	,	,	PUNCT
ajst-5473	14	17	we	we	PRON
ajst-5473	14	18	must	must	AUX
ajst-5473	14	19	vigorously	vigorously	ADV
ajst-5473	14	20	develop	develop	VERB
ajst-5473	14	21	the	the	DET
ajst-5473	14	22	mechanization	mechanization	NOUN
ajst-5473	14	23	and	and	CCONJ
ajst-5473	14	24	intelligent	intelligent	ADJ
ajst-5473	14	25	harvesting	harvesting	NOUN
ajst-5473	14	26	technology	technology	NOUN
ajst-5473	14	27	of	of	ADP
ajst-5473	14	28	green	green	ADJ
ajst-5473	14	29	onions	onion	NOUN
ajst-5473	14	30	.	.	PUNCT
ajst-5473	15	1	automatic	automatic	ADJ
ajst-5473	15	2	driving	driving	NOUN
ajst-5473	15	3	during	during	ADP
ajst-5473	15	4	the	the	DET
ajst-5473	15	5	operation	operation	NOUN
ajst-5473	15	6	of	of	ADP
ajst-5473	15	7	the	the	DET
ajst-5473	15	8	green	green	ADJ
ajst-5473	15	9	onion	onion	NOUN
ajst-5473	15	10	harvester	harvester	NOUN
ajst-5473	15	11	is	be	AUX
ajst-5473	15	12	one	one	NUM
ajst-5473	15	13	of	of	ADP
ajst-5473	15	14	the	the	DET
ajst-5473	15	15	key	key	ADJ
ajst-5473	15	16	technologies	technology	NOUN
ajst-5473	15	17	to	to	PART
ajst-5473	15	18	realize	realize	VERB
ajst-5473	15	19	the	the	DET
ajst-5473	15	20	intelligent	intelligent	ADJ
ajst-5473	15	21	harvesting	harvesting	NOUN
ajst-5473	15	22	of	of	ADP
ajst-5473	15	23	green	green	ADJ
ajst-5473	15	24	onions	onion	NOUN
ajst-5473	15	25	.	.	PUNCT
ajst-5473	16	1	at	at	ADP
ajst-5473	16	2	present	present	ADJ
ajst-5473	16	3	,	,	PUNCT
ajst-5473	16	4	the	the	DET
ajst-5473	16	5	navigation	navigation	NOUN
ajst-5473	16	6	methods	method	NOUN
ajst-5473	16	7	used	use	VERB
ajst-5473	16	8	in	in	ADP
ajst-5473	16	9	automatic	automatic	ADJ
ajst-5473	16	10	driving	driving	NOUN
ajst-5473	16	11	of	of	ADP
ajst-5473	16	12	agricultural	agricultural	ADJ
ajst-5473	16	13	machinery	machinery	NOUN
ajst-5473	16	14	mainly	mainly	ADV
ajst-5473	16	15	include	include	VERB
ajst-5473	16	16	global	global	ADJ
ajst-5473	16	17	satellite	satellite	NOUN
ajst-5473	16	18	navigation	navigation	NOUN
ajst-5473	16	19	[	[	X
ajst-5473	16	20	4	4	NUM
ajst-5473	16	21	]	]	PUNCT
ajst-5473	16	22	,	,	PUNCT
ajst-5473	16	23	lidar	lidar	NOUN
ajst-5473	16	24	navigation	navigation	NOUN
ajst-5473	16	25	[	[	X
ajst-5473	16	26	5	5	NUM
ajst-5473	16	27	]	]	PUNCT
ajst-5473	16	28	and	and	CCONJ
ajst-5473	16	29	machine	machine	NOUN
ajst-5473	16	30	vision	vision	NOUN
ajst-5473	16	31	navigation	navigation	NOUN
ajst-5473	17	1	[	[	X
ajst-5473	17	2	6	6	NUM
ajst-5473	17	3	]	]	PUNCT
ajst-5473	17	4	.	.	PUNCT
ajst-5473	18	1	machine	machine	NOUN
ajst-5473	18	2	vision	vision	PROPN
ajst-5473	18	3	navigation	navigation	NOUN
ajst-5473	18	4	is	be	AUX
ajst-5473	18	5	less	less	ADV
ajst-5473	18	6	expensive	expensive	ADJ
ajst-5473	18	7	than	than	ADP
ajst-5473	18	8	the	the	DET
ajst-5473	18	9	other	other	ADJ
ajst-5473	18	10	two	two	NUM
ajst-5473	18	11	navigation	navigation	NOUN
ajst-5473	18	12	methods	method	NOUN
ajst-5473	18	13	and	and	CCONJ
ajst-5473	18	14	is	be	AUX
ajst-5473	18	15	suitable	suitable	ADJ
ajst-5473	18	16	for	for	ADP
ajst-5473	18	17	complex	complex	ADJ
ajst-5473	18	18	agricultural	agricultural	ADJ
ajst-5473	18	19	environments	environment	NOUN
ajst-5473	19	1	[	[	X
ajst-5473	19	2	7	7	NUM
ajst-5473	19	3	-	-	SYM
ajst-5473	19	4	8	8	NUM
ajst-5473	19	5	]	]	PUNCT
ajst-5473	19	6	.	.	PUNCT
ajst-5473	20	1	therefore	therefore	ADV
ajst-5473	20	2	,	,	PUNCT
ajst-5473	20	3	machine	machine	NOUN
ajst-5473	20	4	vision	vision	NOUN
ajst-5473	20	5	navigation	navigation	NOUN
ajst-5473	20	6	is	be	AUX
ajst-5473	20	7	more	more	ADV
ajst-5473	20	8	suitable	suitable	ADJ
ajst-5473	20	9	for	for	ADP
ajst-5473	20	10	autonomous	autonomous	ADJ
ajst-5473	20	11	driving	driving	NOUN
ajst-5473	20	12	scenarios	scenario	NOUN
ajst-5473	20	13	where	where	SCONJ
ajst-5473	20	14	green	green	ADJ
ajst-5473	20	15	onions	onion	NOUN
ajst-5473	20	16	are	be	AUX
ajst-5473	20	17	harvested	harvest	VERB
ajst-5473	20	18	.	.	PUNCT
ajst-5473	21	1	he	he	PRON
ajst-5473	21	2	yong	yong	PROPN
ajst-5473	21	3	et	et	PROPN
ajst-5473	21	4	al	al	PROPN
ajst-5473	21	5	.	.	PUNCT
ajst-5473	22	1	[	[	X
ajst-5473	22	2	9	9	NUM
ajst-5473	22	3	]	]	PUNCT
ajst-5473	22	4	proposed	propose	VERB
ajst-5473	22	5	a	a	DET
ajst-5473	22	6	deep	deep	ADJ
ajst-5473	22	7	learning	learning	NOUN
ajst-5473	22	8	model	model	NOUN
ajst-5473	22	9	mobilev2	mobilev2	PROPN
ajst-5473	22	10	-	-	PUNCT
ajst-5473	22	11	unet	unet	NOUN
ajst-5473	22	12	for	for	ADP
ajst-5473	22	13	paddy	paddy	NOUN
ajst-5473	22	14	area	area	NOUN
ajst-5473	22	15	segmentation	segmentation	NOUN
ajst-5473	22	16	,	,	PUNCT
ajst-5473	22	17	which	which	PRON
ajst-5473	22	18	uses	use	VERB
ajst-5473	22	19	frame	frame	NOUN
ajst-5473	22	20	-	-	PUNCT
ajst-5473	22	21	correlation	correlation	NOUN
ajst-5473	22	22	and	and	CCONJ
ajst-5473	22	23	random	random	ADJ
ajst-5473	22	24	sampling	sample	VERB
ajst-5473	22	25	consensus	consensus	NOUN
ajst-5473	22	26	algorithms	algorithm	NOUN
ajst-5473	22	27	to	to	PART
ajst-5473	22	28	detect	detect	VERB
ajst-5473	22	29	boundary	boundary	ADJ
ajst-5473	22	30	lines	line	NOUN
ajst-5473	22	31	,	,	PUNCT
ajst-5473	22	32	and	and	CCONJ
ajst-5473	22	33	realizes	realize	VERB
ajst-5473	22	34	the	the	DET
ajst-5473	22	35	automatic	automatic	ADJ
ajst-5473	22	36	detection	detection	NOUN
ajst-5473	22	37	of	of	ADP
ajst-5473	22	38	paddy	paddy	NOUN
ajst-5473	22	39	boundary	boundary	ADJ
ajst-5473	22	40	lines	line	NOUN
ajst-5473	22	41	.	.	PUNCT
ajst-5473	23	1	yang	yang	PROPN
ajst-5473	23	2	yang	yang	PROPN
ajst-5473	23	3	et	et	PROPN
ajst-5473	23	4	al	al	PROPN
ajst-5473	23	5	.	.	PUNCT
ajst-5473	24	1	[	[	X
ajst-5473	24	2	10	10	NUM
ajst-5473	24	3	]	]	PUNCT
ajst-5473	24	4	proposed	propose	VERB
ajst-5473	24	5	a	a	DET
ajst-5473	24	6	dynamic	dynamic	ADJ
ajst-5473	24	7	roi	roi	NOUN
ajst-5473	24	8	(	(	PUNCT
ajst-5473	24	9	region	region	NOUN
ajst-5473	24	10	of	of	ADP
ajst-5473	24	11	interest	interest	NOUN
ajst-5473	24	12	,	,	PUNCT
ajst-5473	24	13	roi	roi	NOUN
ajst-5473	24	14	)	)	PUNCT
ajst-5473	24	15	region	region	NOUN
ajst-5473	24	16	division	division	NOUN
ajst-5473	24	17	algorithm	algorithm	NOUN
ajst-5473	24	18	for	for	ADP
ajst-5473	24	19	plant	plant	NOUN
ajst-5473	24	20	protection	protection	NOUN
ajst-5473	24	21	machine	machine	NOUN
ajst-5473	24	22	wheels	wheel	NOUN
ajst-5473	24	23	walking	walk	VERB
ajst-5473	24	24	between	between	ADP
ajst-5473	24	25	corn	corn	NOUN
ajst-5473	24	26	rows	row	NOUN
ajst-5473	24	27	,	,	PUNCT
ajst-5473	24	28	and	and	CCONJ
ajst-5473	24	29	extracted	extract	VERB
ajst-5473	24	30	navigation	navigation	NOUN
ajst-5473	24	31	lines	line	NOUN
ajst-5473	24	32	in	in	ADP
ajst-5473	24	33	the	the	DET
ajst-5473	24	34	dynamic	dynamic	ADJ
ajst-5473	24	35	roi	roi	NOUN
ajst-5473	24	36	region	region	NOUN
ajst-5473	24	37	for	for	ADP
ajst-5473	24	38	real	real	ADJ
ajst-5473	24	39	-	-	PUNCT
ajst-5473	24	40	time	time	NOUN
ajst-5473	24	41	extraction	extraction	NOUN
ajst-5473	24	42	of	of	ADP
ajst-5473	24	43	navigation	navigation	NOUN
ajst-5473	24	44	lines	line	NOUN
ajst-5473	24	45	between	between	ADP
ajst-5473	24	46	corn	corn	NOUN
ajst-5473	24	47	rows	row	NOUN
ajst-5473	24	48	.	.	PUNCT
ajst-5473	25	1	liao	liao	PROPN
ajst-5473	25	2	juan	juan	PROPN
ajst-5473	25	3	et	et	PROPN
ajst-5473	25	4	al	al	PROPN
ajst-5473	25	5	.	.	PUNCT
ajst-5473	26	1	[	[	X
ajst-5473	26	2	11	11	NUM
ajst-5473	26	3	]	]	PUNCT
ajst-5473	26	4	proposed	propose	VERB
ajst-5473	26	5	a	a	DET
ajst-5473	26	6	seedling	seedling	NOUN
ajst-5473	26	7	row	row	NOUN
ajst-5473	26	8	centerline	centerline	NOUN
ajst-5473	26	9	extraction	extraction	NOUN
ajst-5473	26	10	based	base	VERB
ajst-5473	26	11	on	on	ADP
ajst-5473	26	12	sub	sub	ADJ
ajst-5473	26	13	-	-	ADJ
ajst-5473	26	14	regional	regional	ADJ
ajst-5473	26	15	feature	feature	NOUN
ajst-5473	26	16	point	point	NOUN
ajst-5473	26	17	clustering	clustering	NOUN
ajst-5473	26	18	,	,	PUNCT
ajst-5473	26	19	which	which	PRON
ajst-5473	26	20	was	be	AUX
ajst-5473	26	21	applied	apply	VERB
ajst-5473	26	22	to	to	ADP
ajst-5473	26	23	transplanter	transplanter	PROPN
ajst-5473	26	24	navigation	navigation	NOUN
ajst-5473	26	25	.	.	PUNCT
ajst-5473	27	1	to	to	PART
ajst-5473	27	2	summarize	summarize	VERB
ajst-5473	27	3	the	the	DET
ajst-5473	27	4	existing	exist	VERB
ajst-5473	27	5	research	research	NOUN
ajst-5473	27	6	,	,	PUNCT
ajst-5473	27	7	the	the	DET
ajst-5473	27	8	existing	exist	VERB
ajst-5473	27	9	research	research	NOUN
ajst-5473	27	10	on	on	ADP
ajst-5473	27	11	the	the	DET
ajst-5473	27	12	acquisition	acquisition	NOUN
ajst-5473	27	13	method	method	NOUN
ajst-5473	27	14	of	of	ADP
ajst-5473	27	15	farmland	farmland	NOUN
ajst-5473	27	16	navigation	navigation	NOUN
ajst-5473	27	17	path	path	NOUN
ajst-5473	27	18	mainly	mainly	ADV
ajst-5473	27	19	focuses	focus	VERB
ajst-5473	27	20	on	on	ADP
ajst-5473	27	21	agricultural	agricultural	ADJ
ajst-5473	27	22	machinery	machinery	NOUN
ajst-5473	27	23	such	such	ADJ
ajst-5473	27	24	as	as	ADP
ajst-5473	27	25	rice	rice	NOUN
ajst-5473	27	26	and	and	CCONJ
ajst-5473	27	27	corn	corn	NOUN
ajst-5473	27	28	,	,	PUNCT
ajst-5473	27	29	while	while	SCONJ
ajst-5473	27	30	the	the	DET
ajst-5473	27	31	navigation	navigation	NOUN
ajst-5473	27	32	path	path	NOUN
ajst-5473	27	33	acquisition	acquisition	NOUN
ajst-5473	27	34	method	method	NOUN
ajst-5473	27	35	for	for	ADP
ajst-5473	27	36	green	green	ADJ
ajst-5473	27	37	onion	onion	NOUN
ajst-5473	27	38	harvester	harvester	NOUN
ajst-5473	27	39	has	have	AUX
ajst-5473	27	40	not	not	PART
ajst-5473	27	41	been	be	AUX
ajst-5473	27	42	reported	report	VERB
ajst-5473	27	43	.	.	PUNCT
ajst-5473	28	1	in	in	ADP
ajst-5473	28	2	view	view	NOUN
ajst-5473	28	3	of	of	ADP
ajst-5473	28	4	this	this	DET
ajst-5473	28	5	situation	situation	NOUN
ajst-5473	28	6	,	,	PUNCT
ajst-5473	28	7	this	this	DET
ajst-5473	28	8	paper	paper	NOUN
ajst-5473	28	9	proposes	propose	VERB
ajst-5473	28	10	a	a	DET
ajst-5473	28	11	visual	visual	ADJ
ajst-5473	28	12	navigation	navigation	NOUN
ajst-5473	28	13	path	path	NOUN
ajst-5473	28	14	acquisition	acquisition	NOUN
ajst-5473	28	15	algorithm	algorithm	NOUN
ajst-5473	28	16	for	for	ADP
ajst-5473	28	17	green	green	ADJ
ajst-5473	28	18	onion	onion	NOUN
ajst-5473	28	19	harvesting	harvesting	NOUN
ajst-5473	28	20	operations	operation	NOUN
ajst-5473	28	21	.	.	PUNCT
ajst-5473	29	1	after	after	ADP
ajst-5473	29	2	preprocessing	preprocesse	VERB
ajst-5473	29	3	the	the	DET
ajst-5473	29	4	image	image	NOUN
ajst-5473	29	5	,	,	PUNCT
ajst-5473	29	6	the	the	DET
ajst-5473	29	7	holes	hole	NOUN
ajst-5473	29	8	in	in	ADP
ajst-5473	29	9	the	the	DET
ajst-5473	29	10	onion	onion	NOUN
ajst-5473	29	11	ridge	ridge	NOUN
ajst-5473	29	12	are	be	AUX
ajst-5473	29	13	filled	fill	VERB
ajst-5473	29	14	,	,	PUNCT
ajst-5473	29	15	and	and	CCONJ
ajst-5473	29	16	based	base	VERB
ajst-5473	29	17	on	on	ADP
ajst-5473	29	18	the	the	DET
ajst-5473	29	19	geometric	geometric	ADJ
ajst-5473	29	20	difference	difference	NOUN
ajst-5473	29	21	between	between	ADP
ajst-5473	29	22	the	the	DET
ajst-5473	29	23	onion	onion	NOUN
ajst-5473	29	24	ridge	ridge	NOUN
ajst-5473	29	25	and	and	CCONJ
ajst-5473	29	26	other	other	ADJ
ajst-5473	29	27	areas	area	NOUN
ajst-5473	29	28	,	,	PUNCT
ajst-5473	29	29	the	the	DET
ajst-5473	29	30	left	left	ADJ
ajst-5473	29	31	and	and	CCONJ
ajst-5473	29	32	right	right	ADJ
ajst-5473	29	33	edge	edge	NOUN
ajst-5473	29	34	feature	feature	NOUN
ajst-5473	29	35	points	point	NOUN
ajst-5473	29	36	of	of	ADP
ajst-5473	29	37	the	the	DET
ajst-5473	29	38	green	green	PROPN
ajst-5473	29	39	onion	onion	PROPN
ajst-5473	29	40	ridge	ridge	NOUN
ajst-5473	29	41	are	be	AUX
ajst-5473	29	42	extracted	extract	VERB
ajst-5473	29	43	,	,	PUNCT
ajst-5473	29	44	the	the	DET
ajst-5473	29	45	midpoint	midpoint	NOUN
ajst-5473	29	46	of	of	ADP
ajst-5473	29	47	the	the	DET
ajst-5473	29	48	left	left	ADJ
ajst-5473	29	49	and	and	CCONJ
ajst-5473	29	50	right	right	ADJ
ajst-5473	29	51	edge	edge	NOUN
ajst-5473	29	52	feature	feature	NOUN
ajst-5473	29	53	points	point	NOUN
ajst-5473	29	54	is	be	AUX
ajst-5473	29	55	used	use	VERB
ajst-5473	29	56	as	as	ADP
ajst-5473	29	57	the	the	DET
ajst-5473	29	58	key	key	ADJ
ajst-5473	29	59	point	point	NOUN
ajst-5473	29	60	,	,	PUNCT
ajst-5473	29	61	and	and	CCONJ
ajst-5473	29	62	the	the	DET
ajst-5473	29	63	least	least	ADJ
ajst-5473	29	64	squares	square	NOUN
ajst-5473	29	65	method	method	NOUN
ajst-5473	29	66	is	be	AUX
ajst-5473	29	67	used	use	VERB
ajst-5473	29	68	to	to	PART
ajst-5473	29	69	fit	fit	VERB
ajst-5473	29	70	to	to	PART
ajst-5473	29	71	obtain	obtain	VERB
ajst-5473	29	72	the	the	DET
ajst-5473	29	73	green	green	PROPN
ajst-5473	29	74	onion	onion	PROPN
ajst-5473	29	75	ridge	ridge	PROPN
ajst-5473	29	76	navigation	navigation	NOUN
ajst-5473	29	77	line	line	NOUN
ajst-5473	29	78	.	.	PUNCT
ajst-5473	30	1	2	2	X
ajst-5473	30	2	.	.	X
ajst-5473	30	3	image	image	NOUN
ajst-5473	30	4	preprocessing	preprocesse	VERB
ajst-5473	30	5	green	green	ADJ
ajst-5473	30	6	onion	onion	NOUN
ajst-5473	30	7	information	information	NOUN
ajst-5473	30	8	and	and	CCONJ
ajst-5473	30	9	soil	soil	NOUN
ajst-5473	30	10	background	background	NOUN
ajst-5473	30	11	are	be	AUX
ajst-5473	30	12	included	include	VERB
ajst-5473	30	13	in	in	ADP
ajst-5473	30	14	the	the	DET
ajst-5473	30	15	acquired	acquire	VERB
ajst-5473	30	16	green	green	ADJ
ajst-5473	30	17	onion	onion	NOUN
ajst-5473	30	18	color	color	NOUN
ajst-5473	30	19	image	image	NOUN
ajst-5473	30	20	,	,	PUNCT
ajst-5473	30	21	as	as	SCONJ
ajst-5473	30	22	shown	show	VERB
ajst-5473	30	23	in	in	ADP
ajst-5473	30	24	figure	figure	NOUN
ajst-5473	30	25	1	1	NUM
ajst-5473	30	26	.	.	PUNCT
ajst-5473	31	1	color	color	NOUN
ajst-5473	31	2	pictures	picture	NOUN
ajst-5473	31	3	are	be	AUX
ajst-5473	31	4	essentially	essentially	ADV
ajst-5473	31	5	three	three	NUM
ajst-5473	31	6	-	-	PUNCT
ajst-5473	31	7	dimensional	dimensional	ADJ
ajst-5473	31	8	matrix	matrix	NOUN
ajst-5473	31	9	,	,	PUNCT
ajst-5473	31	10	the	the	DET
ajst-5473	31	11	information	information	NOUN
ajst-5473	31	12	content	content	NOUN
ajst-5473	31	13	is	be	AUX
ajst-5473	31	14	too	too	ADV
ajst-5473	31	15	large	large	ADJ
ajst-5473	31	16	,	,	PUNCT
ajst-5473	31	17	in	in	ADP
ajst-5473	31	18	order	order	NOUN
ajst-5473	31	19	to	to	PART
ajst-5473	31	20	improve	improve	VERB
ajst-5473	31	21	the	the	DET
ajst-5473	31	22	speed	speed	NOUN
ajst-5473	31	23	of	of	ADP
ajst-5473	31	24	operation	operation	NOUN
ajst-5473	31	25	,	,	PUNCT
ajst-5473	31	26	reduce	reduce	VERB
ajst-5473	31	27	the	the	DET
ajst-5473	31	28	impact	impact	NOUN
ajst-5473	31	29	of	of	ADP
ajst-5473	31	30	interference	interference	NOUN
ajst-5473	31	31	information	information	NOUN
ajst-5473	31	32	,	,	PUNCT
ajst-5473	31	33	it	it	PRON
ajst-5473	31	34	is	be	AUX
ajst-5473	31	35	necessary	necessary	ADJ
ajst-5473	31	36	to	to	PART
ajst-5473	31	37	preprocess	preprocess	VERB
ajst-5473	31	38	the	the	DET
ajst-5473	31	39	original	original	ADJ
ajst-5473	31	40	image	image	NOUN
ajst-5473	31	41	collected	collect	VERB
ajst-5473	31	42	.	.	PUNCT
ajst-5473	32	1	image	image	NOUN
ajst-5473	32	2	preprocessing	preprocessing	NOUN
ajst-5473	32	3	mainly	mainly	ADV
ajst-5473	32	4	includes	include	VERB
ajst-5473	32	5	grayscale	grayscale	NOUN
ajst-5473	32	6	processing	processing	NOUN
ajst-5473	32	7	,	,	PUNCT
ajst-5473	32	8	binary	binary	ADJ
ajst-5473	32	9	processing	processing	NOUN
ajst-5473	32	10	and	and	CCONJ
ajst-5473	32	11	morphological	morphological	ADJ
ajst-5473	32	12	processing	processing	NOUN
ajst-5473	32	13	of	of	ADP
ajst-5473	32	14	images	image	NOUN
ajst-5473	32	15	.	.	PUNCT
ajst-5473	33	1	the	the	DET
ajst-5473	33	2	color	color	NOUN
ajst-5473	33	3	space	space	NOUN
ajst-5473	33	4	of	of	ADP
ajst-5473	33	5	the	the	DET
ajst-5473	33	6	original	original	ADJ
ajst-5473	33	7	image	image	NOUN
ajst-5473	33	8	acquired	acquire	VERB
ajst-5473	33	9	is	be	AUX
ajst-5473	33	10	the	the	DET
ajst-5473	33	11	rgb	rgb	PROPN
ajst-5473	33	12	color	color	NOUN
ajst-5473	33	13	space	space	NOUN
ajst-5473	33	14	,	,	PUNCT
ajst-5473	33	15	and	and	CCONJ
ajst-5473	33	16	other	other	ADJ
ajst-5473	33	17	color	color	NOUN
ajst-5473	33	18	spaces	space	NOUN
ajst-5473	33	19	need	need	VERB
ajst-5473	33	20	to	to	PART
ajst-5473	33	21	be	be	AUX
ajst-5473	33	22	converted	convert	VERB
ajst-5473	33	23	from	from	ADP
ajst-5473	33	24	the	the	DET
ajst-5473	33	25	rgb	rgb	PROPN
ajst-5473	33	26	color	color	NOUN
ajst-5473	33	27	space	space	NOUN
ajst-5473	33	28	.	.	PUNCT
ajst-5473	34	1	in	in	ADP
ajst-5473	34	2	order	order	NOUN
ajst-5473	34	3	to	to	PART
ajst-5473	34	4	avoid	avoid	VERB
ajst-5473	34	5	image	image	NOUN
ajst-5473	34	6	distortion	distortion	NOUN
ajst-5473	34	7	and	and	CCONJ
ajst-5473	34	8	reduce	reduce	VERB
ajst-5473	34	9	operation	operation	NOUN
ajst-5473	34	10	time	time	NOUN
ajst-5473	34	11	during	during	ADP
ajst-5473	34	12	color	color	NOUN
ajst-5473	34	13	space	space	NOUN
ajst-5473	34	14	conversion	conversion	NOUN
ajst-5473	34	15	,	,	PUNCT
ajst-5473	34	16	this	this	DET
ajst-5473	34	17	paper	paper	NOUN
ajst-5473	34	18	uses	use	VERB
ajst-5473	34	19	rgb	rgb	PROPN
ajst-5473	34	20	color	color	NOUN
ajst-5473	34	21	space	space	NOUN
ajst-5473	34	22	to	to	ADP
ajst-5473	34	23	preprocess	preprocess	NOUN
ajst-5473	34	24	images	image	NOUN
ajst-5473	34	25	.	.	PUNCT
ajst-5473	35	1	137	137	NUM
ajst-5473	35	2	figure	figure	NOUN
ajst-5473	35	3	1	1	NUM
ajst-5473	35	4	.	.	PUNCT
ajst-5473	35	5	original	original	ADJ
ajst-5473	35	6	image	image	NOUN
ajst-5473	35	7	2.1	2.1	NUM
ajst-5473	35	8	.	.	PUNCT
ajst-5473	35	9	image	image	NOUN
ajst-5473	35	10	grayscale	grayscale	NOUN
ajst-5473	35	11	as	as	ADP
ajst-5473	35	12	a	a	DET
ajst-5473	35	13	green	green	ADJ
ajst-5473	35	14	plant	plant	NOUN
ajst-5473	35	15	,	,	PUNCT
ajst-5473	35	16	the	the	DET
ajst-5473	35	17	value	value	NOUN
ajst-5473	35	18	of	of	ADP
ajst-5473	35	19	the	the	DET
ajst-5473	35	20	g	g	PROPN
ajst-5473	35	21	component	component	NOUN
ajst-5473	35	22	of	of	ADP
ajst-5473	35	23	green	green	ADJ
ajst-5473	35	24	onions	onion	NOUN
ajst-5473	35	25	is	be	AUX
ajst-5473	35	26	much	much	ADV
ajst-5473	35	27	higher	high	ADJ
ajst-5473	35	28	than	than	ADP
ajst-5473	35	29	that	that	PRON
ajst-5473	35	30	of	of	ADP
ajst-5473	35	31	the	the	DET
ajst-5473	35	32	r	r	NOUN
ajst-5473	35	33	component	component	NOUN
ajst-5473	35	34	and	and	CCONJ
ajst-5473	35	35	the	the	DET
ajst-5473	35	36	b	b	PROPN
ajst-5473	35	37	component	component	NOUN
ajst-5473	35	38	.	.	PUNCT
ajst-5473	36	1	the	the	DET
ajst-5473	36	2	color	color	NOUN
ajst-5473	36	3	of	of	ADP
ajst-5473	36	4	the	the	DET
ajst-5473	36	5	soil	soil	NOUN
ajst-5473	36	6	part	part	NOUN
ajst-5473	36	7	is	be	AUX
ajst-5473	36	8	brown	brown	ADJ
ajst-5473	36	9	,	,	PUNCT
ajst-5473	36	10	and	and	CCONJ
ajst-5473	36	11	the	the	DET
ajst-5473	36	12	values	value	NOUN
ajst-5473	36	13	of	of	ADP
ajst-5473	36	14	the	the	DET
ajst-5473	36	15	three	three	NUM
ajst-5473	36	16	components	component	NOUN
ajst-5473	36	17	of	of	ADP
ajst-5473	36	18	r	r	NOUN
ajst-5473	36	19	,	,	PUNCT
ajst-5473	36	20	g	g	PROPN
ajst-5473	36	21	and	and	CCONJ
ajst-5473	36	22	b	b	NOUN
ajst-5473	36	23	are	be	AUX
ajst-5473	36	24	not	not	PART
ajst-5473	36	25	much	much	ADV
ajst-5473	36	26	different	different	ADJ
ajst-5473	36	27	.	.	PUNCT
ajst-5473	37	1	in	in	ADP
ajst-5473	37	2	order	order	NOUN
ajst-5473	37	3	to	to	PART
ajst-5473	37	4	better	well	ADV
ajst-5473	37	5	separate	separate	VERB
ajst-5473	37	6	the	the	DET
ajst-5473	37	7	green	green	ADJ
ajst-5473	37	8	onion	onion	NOUN
ajst-5473	37	9	and	and	CCONJ
ajst-5473	37	10	soil	soil	NOUN
ajst-5473	37	11	background	background	NOUN
ajst-5473	37	12	,	,	PUNCT
ajst-5473	37	13	it	it	PRON
ajst-5473	37	14	is	be	AUX
ajst-5473	37	15	necessary	necessary	ADJ
ajst-5473	37	16	to	to	PART
ajst-5473	37	17	select	select	VERB
ajst-5473	37	18	an	an	DET
ajst-5473	37	19	image	image	NOUN
ajst-5473	37	20	grayscale	grayscale	NOUN
ajst-5473	37	21	processing	processing	NOUN
ajst-5473	37	22	method	method	NOUN
ajst-5473	37	23	that	that	PRON
ajst-5473	37	24	can	can	AUX
ajst-5473	37	25	increase	increase	VERB
ajst-5473	37	26	the	the	DET
ajst-5473	37	27	weight	weight	NOUN
ajst-5473	37	28	of	of	ADP
ajst-5473	37	29	the	the	DET
ajst-5473	37	30	g	g	PROPN
ajst-5473	37	31	component	component	NOUN
ajst-5473	37	32	.	.	PUNCT
ajst-5473	38	1	therefore	therefore	ADV
ajst-5473	38	2	,	,	PUNCT
ajst-5473	38	3	this	this	DET
ajst-5473	38	4	paper	paper	NOUN
ajst-5473	38	5	uses	use	VERB
ajst-5473	38	6	the	the	DET
ajst-5473	38	7	g	g	NOUN
ajst-5473	38	8	-	-	PUNCT
ajst-5473	38	9	r	r	NOUN
ajst-5473	38	10	algorithm	algorithm	NOUN
ajst-5473	38	11	to	to	PART
ajst-5473	38	12	grayscale	grayscale	VERB
ajst-5473	38	13	the	the	DET
ajst-5473	38	14	original	original	ADJ
ajst-5473	38	15	image	image	NOUN
ajst-5473	38	16	.	.	PUNCT
ajst-5473	39	1	figure	figure	NOUN
ajst-5473	39	2	2	2	NUM
ajst-5473	39	3	.	.	PUNCT
ajst-5473	39	4	grayscale	grayscale	NOUN
ajst-5473	39	5	image	image	NOUN
ajst-5473	39	6	2.2	2.2	NUM
ajst-5473	39	7	.	.	PUNCT
ajst-5473	40	1	image	image	NOUN
ajst-5473	40	2	binarization	binarization	NOUN
ajst-5473	40	3	f	f	PROPN
ajst-5473	40	4	the	the	DET
ajst-5473	40	5	purpose	purpose	NOUN
ajst-5473	40	6	of	of	ADP
ajst-5473	40	7	the	the	DET
ajst-5473	40	8	binarization	binarization	NOUN
ajst-5473	40	9	of	of	ADP
ajst-5473	40	10	the	the	DET
ajst-5473	40	11	image	image	NOUN
ajst-5473	40	12	is	be	AUX
ajst-5473	40	13	to	to	PART
ajst-5473	40	14	separate	separate	VERB
ajst-5473	40	15	the	the	DET
ajst-5473	40	16	green	green	ADJ
ajst-5473	40	17	onion	onion	NOUN
ajst-5473	40	18	information	information	NOUN
ajst-5473	40	19	from	from	ADP
ajst-5473	40	20	the	the	DET
ajst-5473	40	21	soil	soil	NOUN
ajst-5473	40	22	background	background	NOUN
ajst-5473	40	23	.	.	PUNCT
ajst-5473	41	1	among	among	ADP
ajst-5473	41	2	the	the	DET
ajst-5473	41	3	existing	exist	VERB
ajst-5473	41	4	image	image	NOUN
ajst-5473	41	5	segmentation	segmentation	NOUN
ajst-5473	41	6	methods	method	NOUN
ajst-5473	41	7	,	,	PUNCT
ajst-5473	41	8	threshold	threshold	NOUN
ajst-5473	41	9	segmentation	segmentation	NOUN
ajst-5473	41	10	is	be	AUX
ajst-5473	41	11	simpler	simple	ADJ
ajst-5473	41	12	and	and	CCONJ
ajst-5473	41	13	more	more	ADV
ajst-5473	41	14	efficient	efficient	ADJ
ajst-5473	41	15	than	than	ADP
ajst-5473	41	16	other	other	ADJ
ajst-5473	41	17	image	image	NOUN
ajst-5473	41	18	segmentation	segmentation	NOUN
ajst-5473	41	19	methods	method	NOUN
ajst-5473	41	20	[	[	X
ajst-5473	41	21	12	12	NUM
ajst-5473	41	22	]	]	PUNCT
ajst-5473	41	23	.	.	PUNCT
ajst-5473	42	1	in	in	ADP
ajst-5473	42	2	this	this	DET
ajst-5473	42	3	paper	paper	NOUN
ajst-5473	42	4	,	,	PUNCT
ajst-5473	42	5	the	the	DET
ajst-5473	42	6	maximum	maximum	ADJ
ajst-5473	42	7	between	between	ADP
ajst-5473	42	8	-	-	PUNCT
ajst-5473	42	9	class	class	NOUN
ajst-5473	42	10	variance	variance	NOUN
ajst-5473	42	11	method	method	NOUN
ajst-5473	42	12	that	that	PRON
ajst-5473	42	13	can	can	AUX
ajst-5473	42	14	automatically	automatically	ADV
ajst-5473	42	15	calculate	calculate	VERB
ajst-5473	42	16	the	the	DET
ajst-5473	42	17	threshold	threshold	NOUN
ajst-5473	42	18	is	be	AUX
ajst-5473	42	19	used	use	VERB
ajst-5473	42	20	to	to	PART
ajst-5473	42	21	binarize	binarize	VERB
ajst-5473	42	22	the	the	DET
ajst-5473	42	23	grayscale	grayscale	NOUN
ajst-5473	42	24	map	map	NOUN
ajst-5473	42	25	.	.	PUNCT
ajst-5473	43	1	the	the	DET
ajst-5473	43	2	obtained	obtain	VERB
ajst-5473	43	3	binary	binary	ADJ
ajst-5473	43	4	plot	plot	NOUN
ajst-5473	43	5	is	be	AUX
ajst-5473	43	6	shown	show	VERB
ajst-5473	43	7	in	in	ADP
ajst-5473	43	8	figure	figure	NOUN
ajst-5473	43	9	3	3	NUM
ajst-5473	43	10	,	,	PUNCT
ajst-5473	43	11	which	which	PRON
ajst-5473	43	12	shows	show	VERB
ajst-5473	43	13	that	that	SCONJ
ajst-5473	43	14	the	the	DET
ajst-5473	43	15	threshold	threshold	NOUN
ajst-5473	43	16	segmentation	segmentation	NOUN
ajst-5473	43	17	algorithm	algorithm	NOUN
ajst-5473	43	18	can	can	AUX
ajst-5473	43	19	better	well	ADV
ajst-5473	43	20	realize	realize	VERB
ajst-5473	43	21	the	the	DET
ajst-5473	43	22	segmentation	segmentation	NOUN
ajst-5473	43	23	of	of	ADP
ajst-5473	43	24	green	green	ADJ
ajst-5473	43	25	onions	onion	NOUN
ajst-5473	43	26	and	and	CCONJ
ajst-5473	43	27	land	land	NOUN
ajst-5473	43	28	background	background	NOUN
ajst-5473	43	29	.	.	PUNCT
ajst-5473	44	1	figure	figure	VERB
ajst-5473	44	2	3	3	NUM
ajst-5473	44	3	.	.	PUNCT
ajst-5473	44	4	binary	binary	ADJ
ajst-5473	44	5	image	image	NOUN
ajst-5473	44	6	2.3	2.3	NUM
ajst-5473	44	7	.	.	PUNCT
ajst-5473	45	1	image	image	NOUN
ajst-5473	45	2	morphological	morphological	ADJ
ajst-5473	45	3	processing	processing	NOUN
ajst-5473	45	4	the	the	DET
ajst-5473	45	5	binary	binary	ADJ
ajst-5473	45	6	plot	plot	NOUN
ajst-5473	45	7	obtained	obtain	VERB
ajst-5473	45	8	by	by	ADP
ajst-5473	45	9	threshold	threshold	NOUN
ajst-5473	45	10	segmentation	segmentation	NOUN
ajst-5473	45	11	contains	contain	VERB
ajst-5473	45	12	a	a	DET
ajst-5473	45	13	lot	lot	NOUN
ajst-5473	45	14	of	of	ADP
ajst-5473	45	15	noise	noise	NOUN
ajst-5473	45	16	and	and	CCONJ
ajst-5473	45	17	holes	hole	NOUN
ajst-5473	45	18	.	.	PUNCT
ajst-5473	46	1	if	if	SCONJ
ajst-5473	46	2	these	these	DET
ajst-5473	46	3	interference	interference	NOUN
ajst-5473	46	4	information	information	NOUN
ajst-5473	46	5	is	be	AUX
ajst-5473	46	6	not	not	PART
ajst-5473	46	7	removed	remove	VERB
ajst-5473	46	8	,	,	PUNCT
ajst-5473	46	9	direct	direct	ADJ
ajst-5473	46	10	detection	detection	NOUN
ajst-5473	46	11	of	of	ADP
ajst-5473	46	12	edge	edge	NOUN
ajst-5473	46	13	information	information	NOUN
ajst-5473	46	14	will	will	AUX
ajst-5473	46	15	not	not	PART
ajst-5473	46	16	only	only	ADV
ajst-5473	46	17	increase	increase	VERB
ajst-5473	46	18	the	the	DET
ajst-5473	46	19	operation	operation	NOUN
ajst-5473	46	20	time	time	NOUN
ajst-5473	46	21	,	,	PUNCT
ajst-5473	46	22	but	but	CCONJ
ajst-5473	46	23	also	also	ADV
ajst-5473	46	24	interfere	interfere	VERB
ajst-5473	46	25	with	with	ADP
ajst-5473	46	26	the	the	DET
ajst-5473	46	27	calculation	calculation	NOUN
ajst-5473	46	28	results	result	NOUN
ajst-5473	46	29	,	,	PUNCT
ajst-5473	46	30	which	which	PRON
ajst-5473	46	31	will	will	AUX
ajst-5473	46	32	affect	affect	VERB
ajst-5473	46	33	the	the	DET
ajst-5473	46	34	real	real	ADJ
ajst-5473	46	35	-	-	PUNCT
ajst-5473	46	36	time	time	NOUN
ajst-5473	46	37	and	and	CCONJ
ajst-5473	46	38	accuracy	accuracy	NOUN
ajst-5473	46	39	of	of	ADP
ajst-5473	46	40	the	the	DET
ajst-5473	46	41	entire	entire	ADJ
ajst-5473	46	42	system	system	NOUN
ajst-5473	46	43	.	.	PUNCT
ajst-5473	47	1	morphological	morphological	ADJ
ajst-5473	47	2	processing	processing	NOUN
ajst-5473	47	3	of	of	ADP
ajst-5473	47	4	the	the	DET
ajst-5473	47	5	image	image	NOUN
ajst-5473	47	6	removes	remove	VERB
ajst-5473	47	7	noise	noise	NOUN
ajst-5473	47	8	and	and	CCONJ
ajst-5473	47	9	fills	fill	VERB
ajst-5473	47	10	holes	hole	NOUN
ajst-5473	47	11	.	.	PUNCT
ajst-5473	48	1	after	after	ADP
ajst-5473	48	2	performing	perform	VERB
ajst-5473	48	3	a	a	DET
ajst-5473	48	4	closed	closed	ADJ
ajst-5473	48	5	operation	operation	NOUN
ajst-5473	48	6	and	and	CCONJ
ajst-5473	48	7	a	a	DET
ajst-5473	48	8	morphological	morphological	ADJ
ajst-5473	48	9	opening	opening	NOUN
ajst-5473	48	10	operation	operation	NOUN
ajst-5473	48	11	on	on	ADP
ajst-5473	48	12	figure	figure	NOUN
ajst-5473	48	13	3	3	NUM
ajst-5473	48	14	,	,	PUNCT
ajst-5473	48	15	the	the	DET
ajst-5473	48	16	results	result	NOUN
ajst-5473	48	17	are	be	AUX
ajst-5473	48	18	shown	show	VERB
ajst-5473	48	19	in	in	ADP
ajst-5473	48	20	figure	figure	NOUN
ajst-5473	48	21	4	4	NUM
ajst-5473	48	22	.	.	PUNCT
ajst-5473	48	23	from	from	ADP
ajst-5473	48	24	the	the	DET
ajst-5473	48	25	figure	figure	NOUN
ajst-5473	48	26	,	,	PUNCT
ajst-5473	48	27	it	it	PRON
ajst-5473	48	28	can	can	AUX
ajst-5473	48	29	be	be	AUX
ajst-5473	48	30	seen	see	VERB
ajst-5473	48	31	that	that	SCONJ
ajst-5473	48	32	most	most	ADJ
ajst-5473	48	33	of	of	ADP
ajst-5473	48	34	the	the	DET
ajst-5473	48	35	small	small	ADJ
ajst-5473	48	36	area	area	NOUN
ajst-5473	48	37	noise	noise	NOUN
ajst-5473	48	38	is	be	AUX
ajst-5473	48	39	cleared	clear	VERB
ajst-5473	48	40	,	,	PUNCT
ajst-5473	48	41	and	and	CCONJ
ajst-5473	48	42	the	the	DET
ajst-5473	48	43	connectivity	connectivity	NOUN
ajst-5473	48	44	of	of	ADP
ajst-5473	48	45	the	the	DET
ajst-5473	48	46	green	green	PROPN
ajst-5473	48	47	onion	onion	PROPN
ajst-5473	48	48	ridge	ridge	PROPN
ajst-5473	48	49	area	area	NOUN
ajst-5473	48	50	is	be	AUX
ajst-5473	48	51	good	good	ADJ
ajst-5473	48	52	.	.	PUNCT
ajst-5473	49	1	figure	figure	NOUN
ajst-5473	49	2	4	4	NUM
ajst-5473	49	3	.	.	PUNCT
ajst-5473	49	4	morphological	morphological	ADJ
ajst-5473	49	5	image	image	NOUN
ajst-5473	49	6	3	3	X
ajst-5473	49	7	.	.	PUNCT
ajst-5473	49	8	navigation	navigation	NOUN
ajst-5473	49	9	line	line	NOUN
ajst-5473	49	10	extraction	extraction	NOUN
ajst-5473	49	11	since	since	SCONJ
ajst-5473	49	12	green	green	ADJ
ajst-5473	49	13	onions	onion	NOUN
ajst-5473	49	14	are	be	AUX
ajst-5473	49	15	planted	plant	VERB
ajst-5473	49	16	in	in	ADP
ajst-5473	49	17	rows	row	NOUN
ajst-5473	49	18	,	,	PUNCT
ajst-5473	49	19	the	the	DET
ajst-5473	49	20	line	line	NOUN
ajst-5473	49	21	segments	segment	NOUN
ajst-5473	49	22	that	that	PRON
ajst-5473	49	23	run	run	VERB
ajst-5473	49	24	through	through	ADP
ajst-5473	49	25	the	the	DET
ajst-5473	49	26	rhizome	rhizome	NOUN
ajst-5473	49	27	of	of	ADP
ajst-5473	49	28	each	each	DET
ajst-5473	49	29	crop	crop	NOUN
ajst-5473	49	30	serve	serve	VERB
ajst-5473	49	31	as	as	ADP
ajst-5473	49	32	its	its	PRON
ajst-5473	49	33	navigation	navigation	NOUN
ajst-5473	49	34	line	line	NOUN
ajst-5473	49	35	.	.	PUNCT
ajst-5473	50	1	but	but	CCONJ
ajst-5473	50	2	the	the	DET
ajst-5473	50	3	rhizome	rhizome	NOUN
ajst-5473	50	4	of	of	ADP
ajst-5473	50	5	green	green	ADJ
ajst-5473	50	6	onions	onion	NOUN
ajst-5473	50	7	is	be	AUX
ajst-5473	50	8	difficult	difficult	ADJ
ajst-5473	50	9	to	to	PART
ajst-5473	50	10	detect	detect	VERB
ajst-5473	50	11	.	.	PUNCT
ajst-5473	51	1	from	from	ADP
ajst-5473	51	2	the	the	DET
ajst-5473	51	3	growth	growth	NOUN
ajst-5473	51	4	characteristics	characteristic	NOUN
ajst-5473	51	5	of	of	ADP
ajst-5473	51	6	green	green	ADJ
ajst-5473	51	7	onions	onion	NOUN
ajst-5473	51	8	,	,	PUNCT
ajst-5473	51	9	it	it	PRON
ajst-5473	51	10	can	can	AUX
ajst-5473	51	11	be	be	AUX
ajst-5473	51	12	seen	see	VERB
ajst-5473	51	13	that	that	SCONJ
ajst-5473	51	14	the	the	DET
ajst-5473	51	15	center	center	NOUN
ajst-5473	51	16	of	of	ADP
ajst-5473	51	17	the	the	DET
ajst-5473	51	18	green	green	PROPN
ajst-5473	51	19	onion	onion	PROPN
ajst-5473	51	20	ridge	ridge	NOUN
ajst-5473	51	21	is	be	AUX
ajst-5473	51	22	close	close	ADJ
ajst-5473	51	23	to	to	ADP
ajst-5473	51	24	the	the	DET
ajst-5473	51	25	rhizome	rhizome	NOUN
ajst-5473	51	26	position	position	NOUN
ajst-5473	51	27	of	of	ADP
ajst-5473	51	28	green	green	ADJ
ajst-5473	51	29	onion	onion	NOUN
ajst-5473	51	30	.	.	PUNCT
ajst-5473	52	1	therefore	therefore	ADV
ajst-5473	52	2	,	,	PUNCT
ajst-5473	52	3	the	the	DET
ajst-5473	52	4	midpoint	midpoint	NOUN
ajst-5473	52	5	of	of	ADP
ajst-5473	52	6	the	the	DET
ajst-5473	52	7	green	green	PROPN
ajst-5473	52	8	onion	onion	PROPN
ajst-5473	52	9	ridge	ridge	NOUN
ajst-5473	52	10	can	can	AUX
ajst-5473	52	11	be	be	AUX
ajst-5473	52	12	used	use	VERB
ajst-5473	52	13	as	as	ADP
ajst-5473	52	14	the	the	DET
ajst-5473	52	15	key	key	ADJ
ajst-5473	52	16	point	point	NOUN
ajst-5473	52	17	for	for	ADP
ajst-5473	52	18	navigation	navigation	NOUN
ajst-5473	52	19	line	line	NOUN
ajst-5473	52	20	extraction	extraction	NOUN
ajst-5473	52	21	.	.	PUNCT
ajst-5473	53	1	the	the	DET
ajst-5473	53	2	midpoint	midpoint	NOUN
ajst-5473	53	3	of	of	ADP
ajst-5473	53	4	the	the	DET
ajst-5473	53	5	green	green	PROPN
ajst-5473	53	6	onion	onion	PROPN
ajst-5473	53	7	ridge	ridge	NOUN
ajst-5473	53	8	can	can	AUX
ajst-5473	53	9	be	be	AUX
ajst-5473	53	10	obtained	obtain	VERB
ajst-5473	53	11	based	base	VERB
ajst-5473	53	12	on	on	ADP
ajst-5473	53	13	the	the	DET
ajst-5473	53	14	edge	edge	NOUN
ajst-5473	53	15	information	information	NOUN
ajst-5473	53	16	of	of	ADP
ajst-5473	53	17	the	the	DET
ajst-5473	53	18	green	green	PROPN
ajst-5473	53	19	onion	onion	PROPN
ajst-5473	53	20	ridge	ridge	PROPN
ajst-5473	53	21	,	,	PUNCT
ajst-5473	53	22	and	and	CCONJ
ajst-5473	53	23	then	then	ADV
ajst-5473	53	24	the	the	DET
ajst-5473	53	25	navigation	navigation	NOUN
ajst-5473	53	26	line	line	NOUN
ajst-5473	53	27	can	can	AUX
ajst-5473	53	28	be	be	AUX
ajst-5473	53	29	extracted	extract	VERB
ajst-5473	53	30	.	.	PUNCT
ajst-5473	54	1	therefore	therefore	ADV
ajst-5473	54	2	,	,	PUNCT
ajst-5473	54	3	the	the	DET
ajst-5473	54	4	detection	detection	NOUN
ajst-5473	54	5	of	of	ADP
ajst-5473	54	6	onion	onion	NOUN
ajst-5473	54	7	ridge	ridge	PROPN
ajst-5473	54	8	edge	edge	PROPN
ajst-5473	54	9	information	information	NOUN
ajst-5473	54	10	is	be	AUX
ajst-5473	54	11	a	a	DET
ajst-5473	54	12	necessary	necessary	ADJ
ajst-5473	54	13	prerequisite	prerequisite	NOUN
ajst-5473	54	14	for	for	ADP
ajst-5473	54	15	obtaining	obtain	VERB
ajst-5473	54	16	navigation	navigation	NOUN
ajst-5473	54	17	lines	line	NOUN
ajst-5473	54	18	.	.	PUNCT
ajst-5473	55	1	138	138	NUM
ajst-5473	55	2	3.1	3.1	NUM
ajst-5473	55	3	.	.	PUNCT
ajst-5473	56	1	navigation	navigation	NOUN
ajst-5473	56	2	keypoint	keypoint	NOUN
ajst-5473	56	3	extraction	extraction	NOUN
ajst-5473	56	4	based	base	VERB
ajst-5473	56	5	on	on	ADP
ajst-5473	56	6	edge	edge	NOUN
ajst-5473	56	7	features	feature	VERB
ajst-5473	56	8	the	the	DET
ajst-5473	56	9	traditional	traditional	ADJ
ajst-5473	56	10	extraction	extraction	NOUN
ajst-5473	56	11	algorithm	algorithm	NOUN
ajst-5473	56	12	of	of	ADP
ajst-5473	56	13	crop	crop	NOUN
ajst-5473	56	14	row	row	NOUN
ajst-5473	56	15	navigation	navigation	NOUN
ajst-5473	56	16	key	key	ADJ
ajst-5473	56	17	points	point	NOUN
ajst-5473	56	18	is	be	AUX
ajst-5473	56	19	mostly	mostly	ADV
ajst-5473	56	20	based	base	VERB
ajst-5473	56	21	on	on	ADP
ajst-5473	56	22	the	the	DET
ajst-5473	56	23	overall	overall	ADJ
ajst-5473	56	24	edge	edge	NOUN
ajst-5473	56	25	information	information	NOUN
ajst-5473	56	26	of	of	ADP
ajst-5473	56	27	crops	crop	NOUN
ajst-5473	56	28	[	[	X
ajst-5473	56	29	13	13	NUM
ajst-5473	56	30	]	]	PUNCT
ajst-5473	56	31	.	.	PUNCT
ajst-5473	57	1	this	this	DET
ajst-5473	57	2	method	method	NOUN
ajst-5473	57	3	of	of	ADP
ajst-5473	57	4	extracting	extract	VERB
ajst-5473	57	5	navigation	navigation	NOUN
ajst-5473	57	6	keys	key	NOUN
ajst-5473	57	7	based	base	VERB
ajst-5473	57	8	on	on	ADP
ajst-5473	57	9	the	the	DET
ajst-5473	57	10	overall	overall	ADJ
ajst-5473	57	11	edge	edge	NOUN
ajst-5473	57	12	information	information	NOUN
ajst-5473	57	13	of	of	ADP
ajst-5473	57	14	the	the	DET
ajst-5473	57	15	crop	crop	NOUN
ajst-5473	57	16	is	be	AUX
ajst-5473	57	17	easily	easily	ADV
ajst-5473	57	18	affected	affect	VERB
ajst-5473	57	19	by	by	ADP
ajst-5473	57	20	irregular	irregular	ADJ
ajst-5473	57	21	leaf	leaf	NOUN
ajst-5473	57	22	growth	growth	NOUN
ajst-5473	57	23	,	,	PUNCT
ajst-5473	57	24	resulting	result	VERB
ajst-5473	57	25	in	in	ADP
ajst-5473	57	26	the	the	DET
ajst-5473	57	27	extraction	extraction	NOUN
ajst-5473	57	28	of	of	ADP
ajst-5473	57	29	key	key	ADJ
ajst-5473	57	30	points	point	NOUN
ajst-5473	57	31	deviating	deviate	VERB
ajst-5473	57	32	from	from	ADP
ajst-5473	57	33	the	the	DET
ajst-5473	57	34	center	center	NOUN
ajst-5473	57	35	of	of	ADP
ajst-5473	57	36	the	the	DET
ajst-5473	57	37	ridge	ridge	NOUN
ajst-5473	57	38	row	row	NOUN
ajst-5473	57	39	and	and	CCONJ
ajst-5473	57	40	can	can	AUX
ajst-5473	57	41	not	not	PART
ajst-5473	57	42	be	be	AUX
ajst-5473	57	43	directly	directly	ADV
ajst-5473	57	44	applied	apply	VERB
ajst-5473	57	45	to	to	ADP
ajst-5473	57	46	the	the	DET
ajst-5473	57	47	fitting	fitting	NOUN
ajst-5473	57	48	of	of	ADP
ajst-5473	57	49	the	the	DET
ajst-5473	57	50	navigation	navigation	NOUN
ajst-5473	57	51	line	line	NOUN
ajst-5473	57	52	[	[	X
ajst-5473	57	53	14	14	NUM
ajst-5473	57	54	]	]	PUNCT
ajst-5473	57	55	.	.	PUNCT
ajst-5473	58	1	in	in	ADP
ajst-5473	58	2	view	view	NOUN
ajst-5473	58	3	of	of	ADP
ajst-5473	58	4	the	the	DET
ajst-5473	58	5	above	above	ADJ
ajst-5473	58	6	shortcomings	shortcoming	NOUN
ajst-5473	58	7	,	,	PUNCT
ajst-5473	58	8	this	this	DET
ajst-5473	58	9	paper	paper	NOUN
ajst-5473	58	10	proposes	propose	VERB
ajst-5473	58	11	a	a	DET
ajst-5473	58	12	method	method	NOUN
ajst-5473	58	13	for	for	ADP
ajst-5473	58	14	detecting	detect	VERB
ajst-5473	58	15	the	the	DET
ajst-5473	58	16	edge	edge	NOUN
ajst-5473	58	17	of	of	ADP
ajst-5473	58	18	green	green	ADJ
ajst-5473	58	19	onion	onion	NOUN
ajst-5473	58	20	ridges	ridge	NOUN
ajst-5473	58	21	based	base	VERB
ajst-5473	58	22	on	on	ADP
ajst-5473	58	23	geometric	geometric	ADJ
ajst-5473	58	24	differences	difference	NOUN
ajst-5473	58	25	.	.	PUNCT
ajst-5473	59	1	the	the	DET
ajst-5473	59	2	irregularly	irregularly	ADV
ajst-5473	59	3	growing	grow	VERB
ajst-5473	59	4	leaves	leave	NOUN
ajst-5473	59	5	of	of	ADP
ajst-5473	59	6	green	green	ADJ
ajst-5473	59	7	onions	onion	NOUN
ajst-5473	59	8	are	be	AUX
ajst-5473	59	9	much	much	ADV
ajst-5473	59	10	smaller	small	ADJ
ajst-5473	59	11	than	than	ADP
ajst-5473	59	12	the	the	DET
ajst-5473	59	13	ridges	ridge	NOUN
ajst-5473	59	14	in	in	ADP
ajst-5473	59	15	lateral	lateral	ADJ
ajst-5473	59	16	width	width	NOUN
ajst-5473	59	17	.	.	PUNCT
ajst-5473	60	1	therefore	therefore	ADV
ajst-5473	60	2	,	,	PUNCT
ajst-5473	60	3	the	the	DET
ajst-5473	60	4	edge	edge	NOUN
ajst-5473	60	5	of	of	ADP
ajst-5473	60	6	the	the	DET
ajst-5473	60	7	black	black	ADJ
ajst-5473	60	8	fragment	fragment	NOUN
ajst-5473	60	9	with	with	ADP
ajst-5473	60	10	the	the	DET
ajst-5473	60	11	largest	large	ADJ
ajst-5473	60	12	width	width	ADJ
ajst-5473	60	13	value	value	NOUN
ajst-5473	60	14	in	in	ADP
ajst-5473	60	15	each	each	DET
ajst-5473	60	16	row	row	NOUN
ajst-5473	60	17	in	in	ADP
ajst-5473	60	18	the	the	DET
ajst-5473	60	19	image	image	NOUN
ajst-5473	60	20	is	be	AUX
ajst-5473	60	21	the	the	DET
ajst-5473	60	22	edge	edge	NOUN
ajst-5473	60	23	of	of	ADP
ajst-5473	60	24	the	the	DET
ajst-5473	60	25	green	green	PROPN
ajst-5473	60	26	onion	onion	PROPN
ajst-5473	60	27	ridge	ridge	PROPN
ajst-5473	60	28	.	.	PUNCT
ajst-5473	61	1	green	green	ADJ
ajst-5473	61	2	onion	onion	NOUN
ajst-5473	61	3	ridges	ridge	NOUN
ajst-5473	61	4	can	can	AUX
ajst-5473	61	5	be	be	AUX
ajst-5473	61	6	detected	detect	VERB
ajst-5473	61	7	by	by	ADP
ajst-5473	61	8	comparing	compare	VERB
ajst-5473	61	9	the	the	DET
ajst-5473	61	10	widths	width	NOUN
ajst-5473	61	11	of	of	ADP
ajst-5473	61	12	all	all	DET
ajst-5473	61	13	black	black	ADJ
ajst-5473	61	14	fragments	fragment	NOUN
ajst-5473	61	15	in	in	ADP
ajst-5473	61	16	each	each	DET
ajst-5473	61	17	row	row	NOUN
ajst-5473	61	18	,	,	PUNCT
ajst-5473	61	19	and	and	CCONJ
ajst-5473	61	20	the	the	DET
ajst-5473	61	21	edge	edge	NOUN
ajst-5473	61	22	information	information	NOUN
ajst-5473	61	23	of	of	ADP
ajst-5473	61	24	the	the	DET
ajst-5473	61	25	green	green	ADJ
ajst-5473	61	26	onion	onion	NOUN
ajst-5473	61	27	ridges	ridge	NOUN
ajst-5473	61	28	can	can	AUX
ajst-5473	61	29	be	be	AUX
ajst-5473	61	30	extracted	extract	VERB
ajst-5473	61	31	.	.	PUNCT
ajst-5473	62	1	the	the	DET
ajst-5473	62	2	specific	specific	ADJ
ajst-5473	62	3	algorithm	algorithm	NOUN
ajst-5473	62	4	steps	step	NOUN
ajst-5473	62	5	are	be	AUX
ajst-5473	62	6	as	as	SCONJ
ajst-5473	62	7	follows	follow	VERB
ajst-5473	62	8	:	:	PUNCT
ajst-5473	62	9	1)scan	1)scan	NUM
ajst-5473	62	10	the	the	DET
ajst-5473	62	11	preprocessed	preprocesse	VERB
ajst-5473	62	12	image	image	NOUN
ajst-5473	62	13	row	row	NOUN
ajst-5473	62	14	by	by	ADP
ajst-5473	62	15	row	row	NOUN
ajst-5473	62	16	,	,	PUNCT
ajst-5473	62	17	and	and	CCONJ
ajst-5473	62	18	store	store	VERB
ajst-5473	62	19	all	all	DET
ajst-5473	62	20	the	the	DET
ajst-5473	62	21	column	column	NOUN
ajst-5473	62	22	coordinates	coordinate	NOUN
ajst-5473	62	23	with	with	ADP
ajst-5473	62	24	pixel	pixel	ADJ
ajst-5473	62	25	values	value	NOUN
ajst-5473	62	26	of	of	ADP
ajst-5473	62	27	0	0	NUM
ajst-5473	62	28	in	in	ADP
ajst-5473	62	29	the	the	DET
ajst-5473	62	30	picture	picture	NOUN
ajst-5473	62	31	in	in	ADP
ajst-5473	62	32	list	list	NOUN
ajst-5473	62	33	l	l	NOUN
ajst-5473	62	34	by	by	ADP
ajst-5473	62	35	row	row	NOUN
ajst-5473	62	36	,	,	PUNCT
ajst-5473	62	37	that	that	ADV
ajst-5473	62	38	is	is	ADV
ajst-5473	62	39	,	,	PUNCT
ajst-5473	62	40	the	the	DET
ajst-5473	62	41	column	column	NOUN
ajst-5473	62	42	coordinates	coordinate	VERB
ajst-5473	62	43	with	with	ADP
ajst-5473	62	44	pixel	pixel	ADJ
ajst-5473	62	45	values	value	NOUN
ajst-5473	62	46	of	of	ADP
ajst-5473	62	47	0	0	NUM
ajst-5473	62	48	in	in	ADP
ajst-5473	62	49	row	row	NOUN
ajst-5473	62	50	i	i	PRON
ajst-5473	62	51	are	be	AUX
ajst-5473	62	52	stored	store	VERB
ajst-5473	62	53	in	in	ADP
ajst-5473	62	54	the	the	DET
ajst-5473	62	55	sublist	sublist	NOUN
ajst-5473	62	56	l[i	l[i	PROPN
ajst-5473	62	57	]	]	PUNCT
ajst-5473	62	58	of	of	ADP
ajst-5473	62	59	list	list	NOUN
ajst-5473	62	60	l.	l.	PROPN
ajst-5473	62	61	2	2	NUM
ajst-5473	62	62	)	)	PUNCT
ajst-5473	62	63	detect	detect	VERB
ajst-5473	62	64	the	the	DET
ajst-5473	62	65	elements	element	NOUN
ajst-5473	62	66	of	of	ADP
ajst-5473	62	67	list	list	NOUN
ajst-5473	62	68	l	l	NOUN
ajst-5473	62	69	by	by	ADP
ajst-5473	62	70	row	row	NOUN
ajst-5473	62	71	,	,	PUNCT
ajst-5473	62	72	and	and	CCONJ
ajst-5473	62	73	classify	classify	VERB
ajst-5473	62	74	the	the	DET
ajst-5473	62	75	elements	element	NOUN
ajst-5473	62	76	in	in	ADP
ajst-5473	62	77	the	the	DET
ajst-5473	62	78	sublist	sublist	NOUN
ajst-5473	62	79	l	l	NOUN
ajst-5473	63	1	[	[	X
ajst-5473	63	2	i	i	X
ajst-5473	63	3	]	]	PUNCT
ajst-5473	63	4	of	of	ADP
ajst-5473	63	5	list	list	NOUN
ajst-5473	63	6	l	l	NOUN
ajst-5473	63	7	with	with	ADP
ajst-5473	63	8	a	a	DET
ajst-5473	63	9	numerical	numerical	ADJ
ajst-5473	63	10	difference	difference	NOUN
ajst-5473	63	11	equal	equal	ADJ
ajst-5473	63	12	to	to	ADP
ajst-5473	63	13	1	1	NUM
ajst-5473	63	14	as	as	ADP
ajst-5473	63	15	a	a	DET
ajst-5473	63	16	class	class	NOUN
ajst-5473	63	17	.	.	PUNCT
ajst-5473	64	1	store	store	VERB
ajst-5473	64	2	the	the	DET
ajst-5473	64	3	set	set	NOUN
ajst-5473	64	4	of	of	ADP
ajst-5473	64	5	elements	element	NOUN
ajst-5473	64	6	of	of	ADP
ajst-5473	64	7	the	the	DET
ajst-5473	64	8	same	same	ADJ
ajst-5473	64	9	category	category	NOUN
ajst-5473	64	10	in	in	ADP
ajst-5473	64	11	the	the	DET
ajst-5473	64	12	sublist	sublist	NOUN
ajst-5473	64	13	l[i	l[i	PROPN
ajst-5473	64	14	]	]	PUNCT
ajst-5473	64	15	as	as	ADP
ajst-5473	64	16	a	a	DET
ajst-5473	64	17	list	list	NOUN
ajst-5473	64	18	to	to	ADP
ajst-5473	64	19	the	the	DET
ajst-5473	64	20	sublist	sublist	NOUN
ajst-5473	64	21	q[i	q[i	PROPN
ajst-5473	64	22	]	]	PUNCT
ajst-5473	64	23	in	in	ADP
ajst-5473	64	24	list	list	NOUN
ajst-5473	64	25	q.	q.	PROPN
ajst-5473	64	26	3	3	X
ajst-5473	64	27	)	)	PUNCT
ajst-5473	64	28	detect	detect	VERB
ajst-5473	64	29	the	the	DET
ajst-5473	64	30	elements	element	NOUN
ajst-5473	64	31	of	of	ADP
ajst-5473	64	32	list	list	NOUN
ajst-5473	64	33	q	q	PUNCT
ajst-5473	64	34	by	by	ADP
ajst-5473	64	35	rows	row	NOUN
ajst-5473	64	36	,	,	PUNCT
ajst-5473	64	37	calculate	calculate	VERB
ajst-5473	64	38	the	the	DET
ajst-5473	64	39	length	length	NOUN
ajst-5473	64	40	of	of	ADP
ajst-5473	64	41	all	all	DET
ajst-5473	64	42	sublists	sublist	NOUN
ajst-5473	64	43	in	in	ADP
ajst-5473	64	44	list	list	NOUN
ajst-5473	64	45	q[i	q[i	PROPN
ajst-5473	64	46	]	]	PUNCT
ajst-5473	64	47	and	and	CCONJ
ajst-5473	64	48	add	add	VERB
ajst-5473	64	49	the	the	DET
ajst-5473	64	50	index	index	NOUN
ajst-5473	64	51	of	of	ADP
ajst-5473	64	52	the	the	DET
ajst-5473	64	53	sublist	sublist	NOUN
ajst-5473	64	54	with	with	ADP
ajst-5473	64	55	the	the	DET
ajst-5473	64	56	largest	large	ADJ
ajst-5473	64	57	length	length	NOUN
ajst-5473	64	58	to	to	ADP
ajst-5473	64	59	the	the	DET
ajst-5473	64	60	list	list	NOUN
ajst-5473	64	61	index	index	NOUN
ajst-5473	64	62	in	in	ADP
ajst-5473	64	63	q[i	q[i	PROPN
ajst-5473	64	64	]	]	PUNCT
ajst-5473	64	65	,	,	PUNCT
ajst-5473	64	66	then	then	ADV
ajst-5473	64	67	the	the	DET
ajst-5473	64	68	longest	long	ADJ
ajst-5473	64	69	sublist	sublist	NOUN
ajst-5473	64	70	in	in	ADP
ajst-5473	64	71	list	list	NOUN
ajst-5473	64	72	q[i	q[i	PROPN
ajst-5473	64	73	]	]	X
ajst-5473	64	74	can	can	AUX
ajst-5473	64	75	be	be	AUX
ajst-5473	64	76	represented	represent	VERB
ajst-5473	64	77	as	as	ADP
ajst-5473	64	78	q[i][index[i	q[i][index[i	PROPN
ajst-5473	64	79	]	]	PUNCT
ajst-5473	64	80	]	]	PUNCT
ajst-5473	64	81	.	.	PUNCT
ajst-5473	65	1	4	4	X
ajst-5473	65	2	)	)	PUNCT
ajst-5473	65	3	the	the	DET
ajst-5473	65	4	information	information	NOUN
ajst-5473	65	5	stored	store	VERB
ajst-5473	65	6	in	in	ADP
ajst-5473	65	7	the	the	DET
ajst-5473	65	8	list	list	NOUN
ajst-5473	65	9	q[i][index[i	q[i][index[i	PROPN
ajst-5473	65	10	]	]	PUNCT
ajst-5473	65	11	]	]	X
ajst-5473	65	12	is	be	AUX
ajst-5473	65	13	the	the	DET
ajst-5473	65	14	column	column	NOUN
ajst-5473	65	15	coordinates	coordinate	NOUN
ajst-5473	65	16	of	of	ADP
ajst-5473	65	17	the	the	DET
ajst-5473	65	18	green	green	PROPN
ajst-5473	65	19	onion	onion	PROPN
ajst-5473	65	20	ridge	ridge	PROPN
ajst-5473	65	21	.	.	PUNCT
ajst-5473	66	1	the	the	DET
ajst-5473	66	2	first	first	ADJ
ajst-5473	66	3	element	element	NOUN
ajst-5473	66	4	(	(	PUNCT
ajst-5473	66	5	q[i][index[i]][0	q[i][index[i]][0	PROPN
ajst-5473	66	6	]	]	PUNCT
ajst-5473	66	7	)	)	PUNCT
ajst-5473	66	8	is	be	AUX
ajst-5473	66	9	the	the	DET
ajst-5473	66	10	left	left	ADJ
ajst-5473	66	11	-	-	PUNCT
ajst-5473	66	12	edge	edge	NOUN
ajst-5473	66	13	feature	feature	NOUN
ajst-5473	66	14	column	column	NOUN
ajst-5473	66	15	coordinate	coordinate	NOUN
ajst-5473	66	16	of	of	ADP
ajst-5473	66	17	row	row	NOUN
ajst-5473	66	18	i	i	PRON
ajst-5473	66	19	,	,	PUNCT
ajst-5473	66	20	and	and	CCONJ
ajst-5473	66	21	the	the	DET
ajst-5473	66	22	last	last	ADJ
ajst-5473	66	23	element	element	NOUN
ajst-5473	66	24	(	(	PUNCT
ajst-5473	66	25	q[i][index[i]][-1	q[i][index[i]][-1	PROPN
ajst-5473	66	26	]	]	PUNCT
ajst-5473	66	27	)	)	PUNCT
ajst-5473	66	28	is	be	AUX
ajst-5473	66	29	the	the	DET
ajst-5473	66	30	right	right	ADJ
ajst-5473	66	31	-	-	PUNCT
ajst-5473	66	32	edge	edge	NOUN
ajst-5473	66	33	feature	feature	NOUN
ajst-5473	66	34	point	point	NOUN
ajst-5473	66	35	column	column	NOUN
ajst-5473	66	36	coordinate	coordinate	NOUN
ajst-5473	66	37	of	of	ADP
ajst-5473	66	38	row	row	NOUN
ajst-5473	66	39	i.	i.	PROPN
ajst-5473	66	40	q[i][index[i]][0	q[i][index[i]][0	PROPN
ajst-5473	66	41	]	]	PUNCT
ajst-5473	66	42	and	and	CCONJ
ajst-5473	66	43	q[i][index[i]][-1	q[i][index[i]][-1	PROPN
ajst-5473	66	44	]	]	PUNCT
ajst-5473	66	45	are	be	AUX
ajst-5473	66	46	added	add	VERB
ajst-5473	66	47	to	to	ADP
ajst-5473	66	48	listing	list	VERB
ajst-5473	66	49	b	b	NOUN
ajst-5473	66	50	by	by	ADP
ajst-5473	66	51	row	row	NOUN
ajst-5473	66	52	,	,	PUNCT
ajst-5473	66	53	then	then	ADV
ajst-5473	66	54	the	the	DET
ajst-5473	66	55	left	left	ADJ
ajst-5473	66	56	edge	edge	NOUN
ajst-5473	66	57	feature	feature	NOUN
ajst-5473	66	58	point	point	NOUN
ajst-5473	66	59	coordinates	coordinate	NOUN
ajst-5473	66	60	of	of	ADP
ajst-5473	66	61	the	the	DET
ajst-5473	66	62	onion	onion	NOUN
ajst-5473	66	63	ridge	ridge	NOUN
ajst-5473	66	64	are	be	AUX
ajst-5473	66	65	(	(	PUNCT
ajst-5473	66	66	i	i	NOUN
ajst-5473	66	67	,	,	PUNCT
ajst-5473	66	68	b[i][i][0	b[i][i][0	NOUN
ajst-5473	66	69	]	]	PUNCT
ajst-5473	66	70	)	)	PUNCT
ajst-5473	66	71	,	,	PUNCT
ajst-5473	66	72	then	then	ADV
ajst-5473	66	73	the	the	DET
ajst-5473	66	74	right	right	ADJ
ajst-5473	66	75	edge	edge	NOUN
ajst-5473	66	76	feature	feature	NOUN
ajst-5473	66	77	point	point	NOUN
ajst-5473	66	78	coordinates	coordinate	NOUN
ajst-5473	66	79	of	of	ADP
ajst-5473	66	80	the	the	DET
ajst-5473	66	81	green	green	PROPN
ajst-5473	66	82	onion	onion	PROPN
ajst-5473	66	83	ridge	ridge	NOUN
ajst-5473	66	84	are	be	AUX
ajst-5473	66	85	(	(	PUNCT
ajst-5473	66	86	i	i	PRON
ajst-5473	66	87	,	,	PUNCT
ajst-5473	66	88	b[i][1	b[i][1	NOUN
ajst-5473	66	89	]	]	PUNCT
ajst-5473	66	90	)	)	PUNCT
ajst-5473	66	91	.	.	PUNCT
ajst-5473	67	1	5	5	X
ajst-5473	67	2	)	)	PUNCT
ajst-5473	67	3	take	take	VERB
ajst-5473	67	4	the	the	DET
ajst-5473	67	5	midpoint	midpoint	NOUN
ajst-5473	67	6	of	of	ADP
ajst-5473	67	7	the	the	DET
ajst-5473	67	8	left	left	ADJ
ajst-5473	67	9	and	and	CCONJ
ajst-5473	67	10	right	right	ADJ
ajst-5473	67	11	edge	edge	NOUN
ajst-5473	67	12	feature	feature	NOUN
ajst-5473	67	13	points	point	NOUN
ajst-5473	67	14	of	of	ADP
ajst-5473	67	15	the	the	DET
ajst-5473	67	16	green	green	PROPN
ajst-5473	67	17	onion	onion	PROPN
ajst-5473	67	18	ridge	ridge	NOUN
ajst-5473	67	19	as	as	ADP
ajst-5473	67	20	the	the	DET
ajst-5473	67	21	navigation	navigation	NOUN
ajst-5473	67	22	key	key	ADJ
ajst-5473	67	23	point	point	NOUN
ajst-5473	67	24	.	.	PUNCT
ajst-5473	68	1	traversing	traverse	VERB
ajst-5473	68	2	each	each	DET
ajst-5473	68	3	line	line	NOUN
ajst-5473	68	4	of	of	ADP
ajst-5473	68	5	the	the	DET
ajst-5473	68	6	image	image	NOUN
ajst-5473	68	7	is	be	AUX
ajst-5473	68	8	computationally	computationally	ADV
ajst-5473	68	9	intensive	intensive	ADJ
ajst-5473	68	10	,	,	PUNCT
ajst-5473	68	11	reducing	reduce	VERB
ajst-5473	68	12	real	real	ADJ
ajst-5473	68	13	-	-	PUNCT
ajst-5473	68	14	time	time	NOUN
ajst-5473	68	15	.	.	PUNCT
ajst-5473	69	1	therefore	therefore	ADV
ajst-5473	69	2	,	,	PUNCT
ajst-5473	69	3	this	this	DET
ajst-5473	69	4	paper	paper	NOUN
ajst-5473	69	5	extracts	extract	VERB
ajst-5473	69	6	navigation	navigation	NOUN
ajst-5473	69	7	key	key	ADJ
ajst-5473	69	8	points	point	NOUN
ajst-5473	69	9	every	every	DET
ajst-5473	69	10	10	10	NUM
ajst-5473	69	11	lines	line	NOUN
ajst-5473	69	12	,	,	PUNCT
ajst-5473	69	13	which	which	PRON
ajst-5473	69	14	improves	improve	VERB
ajst-5473	69	15	the	the	DET
ajst-5473	69	16	realtime	realtime	ADJ
ajst-5473	69	17	detection	detection	NOUN
ajst-5473	69	18	under	under	ADP
ajst-5473	69	19	the	the	DET
ajst-5473	69	20	premise	premise	NOUN
ajst-5473	69	21	of	of	ADP
ajst-5473	69	22	ensuring	ensure	VERB
ajst-5473	69	23	accuracy	accuracy	NOUN
ajst-5473	69	24	.	.	PUNCT
ajst-5473	70	1	3.2	3.2	NUM
ajst-5473	70	2	.	.	PUNCT
ajst-5473	70	3	navigation	navigation	NOUN
ajst-5473	70	4	line	line	NOUN
ajst-5473	70	5	extraction	extraction	NOUN
ajst-5473	70	6	the	the	DET
ajst-5473	70	7	coordinate	coordinate	NOUN
ajst-5473	70	8	information	information	NOUN
ajst-5473	70	9	of	of	ADP
ajst-5473	70	10	the	the	DET
ajst-5473	70	11	navigation	navigation	NOUN
ajst-5473	70	12	key	key	ADJ
ajst-5473	70	13	points	point	NOUN
ajst-5473	70	14	has	have	AUX
ajst-5473	70	15	been	be	AUX
ajst-5473	70	16	determined	determine	VERB
ajst-5473	70	17	above	above	ADV
ajst-5473	70	18	,	,	PUNCT
ajst-5473	70	19	and	and	CCONJ
ajst-5473	70	20	it	it	PRON
ajst-5473	70	21	can	can	AUX
ajst-5473	70	22	be	be	AUX
ajst-5473	70	23	fitted	fit	VERB
ajst-5473	70	24	to	to	ADP
ajst-5473	70	25	a	a	DET
ajst-5473	70	26	straight	straight	ADJ
ajst-5473	70	27	line	line	NOUN
ajst-5473	70	28	to	to	PART
ajst-5473	70	29	extract	extract	VERB
ajst-5473	70	30	the	the	DET
ajst-5473	70	31	green	green	PROPN
ajst-5473	70	32	onion	onion	PROPN
ajst-5473	70	33	ridge	ridge	PROPN
ajst-5473	70	34	navigation	navigation	NOUN
ajst-5473	70	35	line	line	NOUN
ajst-5473	70	36	.	.	PUNCT
ajst-5473	71	1	common	common	ADJ
ajst-5473	71	2	straight	straight	ADJ
ajst-5473	71	3	-	-	PUNCT
ajst-5473	71	4	line	line	NOUN
ajst-5473	71	5	fitting	fitting	ADJ
ajst-5473	71	6	methods	method	NOUN
ajst-5473	71	7	hough	hough	PROPN
ajst-5473	71	8	transform	transform	VERB
ajst-5473	71	9	[	[	X
ajst-5473	71	10	15	15	NUM
ajst-5473	71	11	]	]	PUNCT
ajst-5473	71	12	,	,	PUNCT
ajst-5473	71	13	ransac	ransac	NOUN
ajst-5473	71	14	algorithm	algorithm	NOUN
ajst-5473	72	1	[	[	X
ajst-5473	72	2	16	16	NUM
ajst-5473	72	3	]	]	PUNCT
ajst-5473	72	4	,	,	PUNCT
ajst-5473	72	5	least	least	ADJ
ajst-5473	72	6	squares	square	NOUN
ajst-5473	72	7	method	method	NOUN
ajst-5473	72	8	[	[	X
ajst-5473	72	9	17	17	NUM
ajst-5473	72	10	]	]	PUNCT
ajst-5473	72	11	.	.	PUNCT
ajst-5473	73	1	the	the	DET
ajst-5473	73	2	hough	hough	PROPN
ajst-5473	73	3	transform	transform	VERB
ajst-5473	73	4	can	can	AUX
ajst-5473	73	5	fit	fit	VERB
ajst-5473	73	6	multiple	multiple	ADJ
ajst-5473	73	7	straight	straight	ADJ
ajst-5473	73	8	lines	line	NOUN
ajst-5473	73	9	at	at	ADP
ajst-5473	73	10	the	the	DET
ajst-5473	73	11	same	same	ADJ
ajst-5473	73	12	time	time	NOUN
ajst-5473	73	13	,	,	PUNCT
ajst-5473	73	14	which	which	PRON
ajst-5473	73	15	is	be	AUX
ajst-5473	73	16	more	more	ADV
ajst-5473	73	17	suitable	suitable	ADJ
ajst-5473	73	18	for	for	ADP
ajst-5473	73	19	the	the	DET
ajst-5473	73	20	extraction	extraction	NOUN
ajst-5473	73	21	of	of	ADP
ajst-5473	73	22	navigation	navigation	NOUN
ajst-5473	73	23	lines	line	NOUN
ajst-5473	73	24	for	for	ADP
ajst-5473	73	25	multi	multi	ADJ
ajst-5473	73	26	-	-	ADJ
ajst-5473	73	27	ridged	ridged	ADJ
ajst-5473	73	28	crops	crop	NOUN
ajst-5473	73	29	.	.	PUNCT
ajst-5473	74	1	the	the	DET
ajst-5473	74	2	ransac	ransac	NOUN
ajst-5473	74	3	algorithm	algorithm	NOUN
ajst-5473	74	4	is	be	AUX
ajst-5473	74	5	not	not	PART
ajst-5473	74	6	affected	affect	VERB
ajst-5473	74	7	by	by	ADP
ajst-5473	74	8	outliers	outlier	NOUN
ajst-5473	74	9	,	,	PUNCT
ajst-5473	74	10	but	but	CCONJ
ajst-5473	74	11	the	the	DET
ajst-5473	74	12	accuracy	accuracy	NOUN
ajst-5473	74	13	is	be	AUX
ajst-5473	74	14	affected	affect	VERB
ajst-5473	74	15	by	by	ADP
ajst-5473	74	16	the	the	DET
ajst-5473	74	17	number	number	NOUN
ajst-5473	74	18	of	of	ADP
ajst-5473	74	19	iterations	iteration	NOUN
ajst-5473	74	20	and	and	CCONJ
ajst-5473	74	21	the	the	DET
ajst-5473	74	22	operation	operation	NOUN
ajst-5473	74	23	time	time	NOUN
ajst-5473	74	24	is	be	AUX
ajst-5473	74	25	long	long	ADJ
ajst-5473	74	26	.	.	PUNCT
ajst-5473	75	1	compared	compare	VERB
ajst-5473	75	2	with	with	ADP
ajst-5473	75	3	the	the	DET
ajst-5473	75	4	hough	hough	PROPN
ajst-5473	75	5	transform	transform	VERB
ajst-5473	75	6	and	and	CCONJ
ajst-5473	75	7	ransac	ransac	NOUN
ajst-5473	75	8	algorithm	algorithm	NOUN
ajst-5473	75	9	,	,	PUNCT
ajst-5473	75	10	the	the	DET
ajst-5473	75	11	least	least	ADJ
ajst-5473	75	12	squares	square	NOUN
ajst-5473	75	13	method	method	NOUN
ajst-5473	75	14	has	have	VERB
ajst-5473	75	15	high	high	ADJ
ajst-5473	75	16	fitting	fitting	ADJ
ajst-5473	75	17	accuracy	accuracy	NOUN
ajst-5473	75	18	and	and	CCONJ
ajst-5473	75	19	fast	fast	ADJ
ajst-5473	75	20	speed	speed	NOUN
ajst-5473	75	21	,	,	PUNCT
ajst-5473	75	22	which	which	PRON
ajst-5473	75	23	is	be	AUX
ajst-5473	75	24	more	more	ADV
ajst-5473	75	25	suitable	suitable	ADJ
ajst-5473	75	26	for	for	ADP
ajst-5473	75	27	the	the	DET
ajst-5473	75	28	set	set	NOUN
ajst-5473	75	29	of	of	ADP
ajst-5473	75	30	navigation	navigation	NOUN
ajst-5473	75	31	key	key	ADJ
ajst-5473	75	32	points	point	NOUN
ajst-5473	75	33	with	with	ADP
ajst-5473	75	34	small	small	ADJ
ajst-5473	75	35	error	error	NOUN
ajst-5473	75	36	extracted	extract	VERB
ajst-5473	75	37	in	in	ADP
ajst-5473	75	38	this	this	DET
ajst-5473	75	39	paper	paper	NOUN
ajst-5473	75	40	.	.	PUNCT
ajst-5473	76	1	therefore	therefore	ADV
ajst-5473	76	2	,	,	PUNCT
ajst-5473	76	3	the	the	DET
ajst-5473	76	4	least	least	ADJ
ajst-5473	76	5	squares	square	NOUN
ajst-5473	76	6	method	method	NOUN
ajst-5473	76	7	is	be	AUX
ajst-5473	76	8	used	use	VERB
ajst-5473	76	9	to	to	PART
ajst-5473	76	10	fit	fit	VERB
ajst-5473	76	11	the	the	DET
ajst-5473	76	12	extracted	extract	VERB
ajst-5473	76	13	navigation	navigation	NOUN
ajst-5473	76	14	keys	key	NOUN
ajst-5473	76	15	in	in	ADP
ajst-5473	76	16	a	a	DET
ajst-5473	76	17	straight	straight	ADJ
ajst-5473	76	18	line	line	NOUN
ajst-5473	76	19	.	.	PUNCT
ajst-5473	77	1	4	4	X
ajst-5473	77	2	.	.	X
ajst-5473	77	3	application	application	NOUN
ajst-5473	77	4	and	and	CCONJ
ajst-5473	77	5	analysis	analysis	NOUN
ajst-5473	77	6	of	of	ADP
ajst-5473	77	7	new	new	ADJ
ajst-5473	77	8	algorithms	algorithm	NOUN
ajst-5473	77	9	4.1	4.1	NUM
ajst-5473	77	10	.	.	PUNCT
ajst-5473	77	11	comparison	comparison	NOUN
ajst-5473	77	12	of	of	ADP
ajst-5473	77	13	navigation	navigation	NOUN
ajst-5473	77	14	key	key	ADJ
ajst-5473	77	15	extraction	extraction	NOUN
ajst-5473	77	16	algorithms	algorithm	NOUN
ajst-5473	77	17	the	the	DET
ajst-5473	77	18	traditional	traditional	ADJ
ajst-5473	77	19	navigation	navigation	NOUN
ajst-5473	77	20	key	key	ADJ
ajst-5473	77	21	point	point	NOUN
ajst-5473	77	22	extraction	extraction	NOUN
ajst-5473	77	23	algorithm	algorithm	NOUN
ajst-5473	77	24	first	first	ADJ
ajst-5473	77	25	extracts	extract	VERB
ajst-5473	77	26	the	the	DET
ajst-5473	77	27	overall	overall	ADJ
ajst-5473	77	28	edge	edge	NOUN
ajst-5473	77	29	information	information	NOUN
ajst-5473	77	30	of	of	ADP
ajst-5473	77	31	the	the	DET
ajst-5473	77	32	crop	crop	NOUN
ajst-5473	77	33	by	by	ADP
ajst-5473	77	34	edge	edge	NOUN
ajst-5473	77	35	detection	detection	NOUN
ajst-5473	77	36	of	of	ADP
ajst-5473	77	37	the	the	DET
ajst-5473	77	38	preprocessed	preprocesse	VERB
ajst-5473	77	39	image	image	NOUN
ajst-5473	77	40	through	through	ADP
ajst-5473	77	41	the	the	DET
ajst-5473	77	42	edge	edge	NOUN
ajst-5473	77	43	detection	detection	NOUN
ajst-5473	77	44	operator	operator	NOUN
ajst-5473	77	45	,	,	PUNCT
ajst-5473	77	46	then	then	ADV
ajst-5473	77	47	detects	detect	VERB
ajst-5473	77	48	all	all	DET
ajst-5473	77	49	the	the	DET
ajst-5473	77	50	edge	edge	NOUN
ajst-5473	77	51	points	point	NOUN
ajst-5473	77	52	of	of	ADP
ajst-5473	77	53	the	the	DET
ajst-5473	77	54	crop	crop	NOUN
ajst-5473	77	55	by	by	ADP
ajst-5473	77	56	row	row	NOUN
ajst-5473	77	57	,	,	PUNCT
ajst-5473	77	58	and	and	CCONJ
ajst-5473	77	59	finally	finally	ADV
ajst-5473	77	60	takes	take	VERB
ajst-5473	77	61	the	the	DET
ajst-5473	77	62	mean	mean	ADJ
ajst-5473	77	63	point	point	NOUN
ajst-5473	77	64	of	of	ADP
ajst-5473	77	65	all	all	DET
ajst-5473	77	66	the	the	DET
ajst-5473	77	67	edge	edge	NOUN
ajst-5473	77	68	points	point	NOUN
ajst-5473	77	69	of	of	ADP
ajst-5473	77	70	the	the	DET
ajst-5473	77	71	row	row	NOUN
ajst-5473	77	72	as	as	ADP
ajst-5473	77	73	the	the	DET
ajst-5473	77	74	navigation	navigation	NOUN
ajst-5473	77	75	key	key	NOUN
ajst-5473	77	76	.	.	PUNCT
ajst-5473	78	1	according	accord	VERB
ajst-5473	78	2	to	to	ADP
ajst-5473	78	3	the	the	DET
ajst-5473	78	4	geometric	geometric	ADJ
ajst-5473	78	5	features	feature	NOUN
ajst-5473	78	6	of	of	ADP
ajst-5473	78	7	the	the	DET
ajst-5473	78	8	green	green	PROPN
ajst-5473	78	9	onion	onion	PROPN
ajst-5473	78	10	ridge	ridge	PROPN
ajst-5473	78	11	,	,	PUNCT
ajst-5473	78	12	the	the	DET
ajst-5473	78	13	algorithm	algorithm	NOUN
ajst-5473	78	14	extracts	extract	VERB
ajst-5473	78	15	the	the	DET
ajst-5473	78	16	left	left	ADJ
ajst-5473	78	17	and	and	CCONJ
ajst-5473	78	18	right	right	ADJ
ajst-5473	78	19	edge	edge	NOUN
ajst-5473	78	20	feature	feature	NOUN
ajst-5473	78	21	points	point	NOUN
ajst-5473	78	22	of	of	ADP
ajst-5473	78	23	the	the	DET
ajst-5473	78	24	green	green	PROPN
ajst-5473	78	25	onion	onion	PROPN
ajst-5473	78	26	ridge	ridge	NOUN
ajst-5473	78	27	on	on	ADP
ajst-5473	78	28	the	the	DET
ajst-5473	78	29	preprocessed	preprocesse	VERB
ajst-5473	78	30	image	image	NOUN
ajst-5473	78	31	,	,	PUNCT
ajst-5473	78	32	and	and	CCONJ
ajst-5473	78	33	then	then	ADV
ajst-5473	78	34	takes	take	VERB
ajst-5473	78	35	the	the	DET
ajst-5473	78	36	midpoint	midpoint	NOUN
ajst-5473	78	37	of	of	ADP
ajst-5473	78	38	the	the	DET
ajst-5473	78	39	left	left	ADJ
ajst-5473	78	40	and	and	CCONJ
ajst-5473	78	41	right	right	ADJ
ajst-5473	78	42	edge	edge	NOUN
ajst-5473	78	43	feature	feature	NOUN
ajst-5473	78	44	points	point	NOUN
ajst-5473	78	45	of	of	ADP
ajst-5473	78	46	the	the	DET
ajst-5473	78	47	green	green	PROPN
ajst-5473	78	48	onion	onion	PROPN
ajst-5473	78	49	ridge	ridge	NOUN
ajst-5473	78	50	as	as	ADP
ajst-5473	78	51	the	the	DET
ajst-5473	78	52	navigation	navigation	NOUN
ajst-5473	78	53	key	key	NOUN
ajst-5473	78	54	.	.	PUNCT
ajst-5473	79	1	two	two	NUM
ajst-5473	79	2	different	different	ADJ
ajst-5473	79	3	algorithms	algorithm	NOUN
ajst-5473	79	4	are	be	AUX
ajst-5473	79	5	used	use	VERB
ajst-5473	79	6	to	to	PART
ajst-5473	79	7	extract	extract	VERB
ajst-5473	79	8	navigation	navigation	NOUN
ajst-5473	79	9	key	key	ADJ
ajst-5473	79	10	points	point	NOUN
ajst-5473	79	11	from	from	ADP
ajst-5473	79	12	the	the	DET
ajst-5473	79	13	same	same	ADJ
ajst-5473	79	14	image	image	NOUN
ajst-5473	79	15	,	,	PUNCT
ajst-5473	79	16	and	and	CCONJ
ajst-5473	79	17	the	the	DET
ajst-5473	79	18	navigation	navigation	NOUN
ajst-5473	79	19	key	key	ADJ
ajst-5473	79	20	extraction	extraction	NOUN
ajst-5473	79	21	results	result	NOUN
ajst-5473	79	22	are	be	AUX
ajst-5473	79	23	compared	compare	VERB
ajst-5473	79	24	and	and	CCONJ
ajst-5473	79	25	analyzed	analyze	VERB
ajst-5473	79	26	.	.	PUNCT
ajst-5473	80	1	the	the	DET
ajst-5473	80	2	traditional	traditional	ADJ
ajst-5473	80	3	navigation	navigation	NOUN
ajst-5473	80	4	row	row	NOUN
ajst-5473	80	5	key	key	ADJ
ajst-5473	80	6	extraction	extraction	NOUN
ajst-5473	80	7	algorithm	algorithm	NOUN
ajst-5473	80	8	takes	take	VERB
ajst-5473	80	9	45	45	NUM
ajst-5473	80	10	milliseconds	millisecond	NOUN
ajst-5473	80	11	to	to	PART
ajst-5473	80	12	process	process	VERB
ajst-5473	80	13	an	an	DET
ajst-5473	80	14	image	image	NOUN
ajst-5473	80	15	with	with	ADP
ajst-5473	80	16	a	a	DET
ajst-5473	80	17	resolution	resolution	NOUN
ajst-5473	80	18	of	of	ADP
ajst-5473	80	19	450	450	NUM
ajst-5473	80	20	pixels	pixel	NOUN
ajst-5473	80	21	×	×	NOUN
ajst-5473	80	22	330	330	NUM
ajst-5473	80	23	pixels	pixel	NOUN
ajst-5473	80	24	,	,	PUNCT
ajst-5473	80	25	and	and	CCONJ
ajst-5473	80	26	the	the	DET
ajst-5473	80	27	result	result	NOUN
ajst-5473	80	28	is	be	AUX
ajst-5473	80	29	shown	show	VERB
ajst-5473	80	30	in	in	ADP
ajst-5473	80	31	figure	figure	NOUN
ajst-5473	80	32	5	5	NUM
ajst-5473	80	33	.	.	PUNCT
ajst-5473	81	1	the	the	DET
ajst-5473	81	2	navigation	navigation	NOUN
ajst-5473	81	3	row	row	NOUN
ajst-5473	81	4	key	key	ADJ
ajst-5473	81	5	extraction	extraction	NOUN
ajst-5473	81	6	algorithm	algorithm	NOUN
ajst-5473	81	7	in	in	ADP
ajst-5473	81	8	this	this	DET
ajst-5473	81	9	paper	paper	NOUN
ajst-5473	81	10	takes	take	VERB
ajst-5473	81	11	40	40	NUM
ajst-5473	81	12	milliseconds	millisecond	NOUN
ajst-5473	81	13	to	to	PART
ajst-5473	81	14	process	process	VERB
ajst-5473	81	15	an	an	DET
ajst-5473	81	16	image	image	NOUN
ajst-5473	81	17	with	with	ADP
ajst-5473	81	18	a	a	DET
ajst-5473	81	19	resolution	resolution	NOUN
ajst-5473	81	20	of	of	ADP
ajst-5473	81	21	450	450	NUM
ajst-5473	81	22	pixels	pixel	NOUN
ajst-5473	81	23	×	×	NOUN
ajst-5473	81	24	330	330	NUM
ajst-5473	81	25	pixels	pixel	NOUN
ajst-5473	81	26	,	,	PUNCT
ajst-5473	81	27	and	and	CCONJ
ajst-5473	81	28	the	the	DET
ajst-5473	81	29	results	result	NOUN
ajst-5473	81	30	are	be	AUX
ajst-5473	81	31	shown	show	VERB
ajst-5473	81	32	in	in	ADP
ajst-5473	81	33	figure	figure	NOUN
ajst-5473	81	34	6	6	NUM
ajst-5473	81	35	.	.	PUNCT
ajst-5473	81	36	figure	figure	NOUN
ajst-5473	81	37	5	5	NUM
ajst-5473	81	38	.	.	PUNCT
ajst-5473	81	39	traditional	traditional	ADJ
ajst-5473	81	40	algorithm	algorithm	NOUN
ajst-5473	81	41	navigation	navigation	NOUN
ajst-5473	81	42	key	key	ADJ
ajst-5473	81	43	point	point	NOUN
ajst-5473	81	44	extraction	extraction	NOUN
ajst-5473	81	45	results	result	NOUN
ajst-5473	81	46	figure	figure	VERB
ajst-5473	81	47	6	6	NUM
ajst-5473	81	48	.	.	PUNCT
ajst-5473	82	1	this	this	DET
ajst-5473	82	2	article	article	NOUN
ajst-5473	82	3	algorithmically	algorithmically	ADV
ajst-5473	82	4	navigates	navigate	VERB
ajst-5473	82	5	key	key	ADJ
ajst-5473	82	6	points	point	NOUN
ajst-5473	82	7	to	to	PART
ajst-5473	82	8	extract	extract	VERB
ajst-5473	82	9	the	the	DET
ajst-5473	82	10	results	result	NOUN
ajst-5473	82	11	from	from	ADP
ajst-5473	82	12	figure	figure	NOUN
ajst-5473	82	13	5	5	NUM
ajst-5473	82	14	and	and	CCONJ
ajst-5473	82	15	6	6	NUM
ajst-5473	82	16	,	,	PUNCT
ajst-5473	82	17	it	it	PRON
ajst-5473	82	18	can	can	AUX
ajst-5473	82	19	be	be	AUX
ajst-5473	82	20	intuitively	intuitively	ADV
ajst-5473	82	21	seen	see	VERB
ajst-5473	82	22	that	that	SCONJ
ajst-5473	82	23	the	the	DET
ajst-5473	82	24	139	139	NUM
ajst-5473	82	25	navigation	navigation	NOUN
ajst-5473	82	26	key	key	ADJ
ajst-5473	82	27	points	point	NOUN
ajst-5473	82	28	extracted	extract	VERB
ajst-5473	82	29	by	by	ADP
ajst-5473	82	30	the	the	DET
ajst-5473	82	31	traditional	traditional	ADJ
ajst-5473	82	32	algorithm	algorithm	NOUN
ajst-5473	82	33	are	be	AUX
ajst-5473	82	34	significantly	significantly	ADV
ajst-5473	82	35	deviated	deviate	VERB
ajst-5473	82	36	from	from	ADP
ajst-5473	82	37	the	the	DET
ajst-5473	82	38	center	center	NOUN
ajst-5473	82	39	of	of	ADP
ajst-5473	82	40	the	the	DET
ajst-5473	82	41	green	green	PROPN
ajst-5473	82	42	onion	onion	PROPN
ajst-5473	82	43	ridge	ridge	PROPN
ajst-5473	82	44	,	,	PUNCT
ajst-5473	82	45	while	while	SCONJ
ajst-5473	82	46	the	the	DET
ajst-5473	82	47	navigation	navigation	NOUN
ajst-5473	82	48	key	key	ADJ
ajst-5473	82	49	points	point	NOUN
ajst-5473	82	50	extracted	extract	VERB
ajst-5473	82	51	by	by	ADP
ajst-5473	82	52	the	the	DET
ajst-5473	82	53	algorithm	algorithm	NOUN
ajst-5473	82	54	in	in	ADP
ajst-5473	82	55	this	this	DET
ajst-5473	82	56	paper	paper	NOUN
ajst-5473	82	57	have	have	VERB
ajst-5473	82	58	a	a	DET
ajst-5473	82	59	small	small	ADJ
ajst-5473	82	60	deviation	deviation	NOUN
ajst-5473	82	61	from	from	ADP
ajst-5473	82	62	the	the	DET
ajst-5473	82	63	center	center	NOUN
ajst-5473	82	64	of	of	ADP
ajst-5473	82	65	the	the	DET
ajst-5473	82	66	green	green	PROPN
ajst-5473	82	67	onion	onion	PROPN
ajst-5473	82	68	ridge	ridge	PROPN
ajst-5473	82	69	.	.	PUNCT
ajst-5473	83	1	compared	compare	VERB
ajst-5473	83	2	with	with	ADP
ajst-5473	83	3	the	the	DET
ajst-5473	83	4	traditional	traditional	ADJ
ajst-5473	83	5	navigation	navigation	NOUN
ajst-5473	83	6	key	key	ADJ
ajst-5473	83	7	extraction	extraction	NOUN
ajst-5473	83	8	algorithm	algorithm	NOUN
ajst-5473	83	9	,	,	PUNCT
ajst-5473	83	10	the	the	DET
ajst-5473	83	11	proposed	propose	VERB
ajst-5473	83	12	algorithm	algorithm	NOUN
ajst-5473	83	13	can	can	AUX
ajst-5473	83	14	reduce	reduce	VERB
ajst-5473	83	15	the	the	DET
ajst-5473	83	16	influence	influence	NOUN
ajst-5473	83	17	of	of	ADP
ajst-5473	83	18	irregular	irregular	ADJ
ajst-5473	83	19	growth	growth	NOUN
ajst-5473	83	20	leaves	leave	NOUN
ajst-5473	83	21	,	,	PUNCT
ajst-5473	83	22	and	and	CCONJ
ajst-5473	83	23	the	the	DET
ajst-5473	83	24	extracted	extract	VERB
ajst-5473	83	25	navigation	navigation	NOUN
ajst-5473	83	26	key	key	ADJ
ajst-5473	83	27	points	point	NOUN
ajst-5473	83	28	are	be	AUX
ajst-5473	83	29	more	more	ADV
ajst-5473	83	30	accurate	accurate	ADJ
ajst-5473	83	31	and	and	CCONJ
ajst-5473	83	32	can	can	AUX
ajst-5473	83	33	be	be	AUX
ajst-5473	83	34	directly	directly	ADV
ajst-5473	83	35	applied	apply	VERB
ajst-5473	83	36	to	to	ADP
ajst-5473	83	37	the	the	DET
ajst-5473	83	38	extraction	extraction	NOUN
ajst-5473	83	39	of	of	ADP
ajst-5473	83	40	navigation	navigation	NOUN
ajst-5473	83	41	lines	line	NOUN
ajst-5473	83	42	.	.	PUNCT
ajst-5473	84	1	at	at	ADP
ajst-5473	84	2	the	the	DET
ajst-5473	84	3	same	same	ADJ
ajst-5473	84	4	time	time	NOUN
ajst-5473	84	5	,	,	PUNCT
ajst-5473	84	6	compared	compare	VERB
ajst-5473	84	7	with	with	ADP
ajst-5473	84	8	the	the	DET
ajst-5473	84	9	traditional	traditional	ADJ
ajst-5473	84	10	algorithm	algorithm	NOUN
ajst-5473	84	11	,	,	PUNCT
ajst-5473	84	12	the	the	DET
ajst-5473	84	13	proposed	propose	VERB
ajst-5473	84	14	algorithm	algorithm	NOUN
ajst-5473	84	15	does	do	AUX
ajst-5473	84	16	not	not	PART
ajst-5473	84	17	significantly	significantly	ADV
ajst-5473	84	18	increase	increase	VERB
ajst-5473	84	19	the	the	DET
ajst-5473	84	20	time	time	NOUN
ajst-5473	84	21	consumption	consumption	NOUN
ajst-5473	84	22	,	,	PUNCT
ajst-5473	84	23	and	and	CCONJ
ajst-5473	84	24	will	will	AUX
ajst-5473	84	25	not	not	PART
ajst-5473	84	26	adversely	adversely	ADV
ajst-5473	84	27	affect	affect	VERB
ajst-5473	84	28	the	the	DET
ajst-5473	84	29	real	real	ADJ
ajst-5473	84	30	-	-	PUNCT
ajst-5473	84	31	time	time	NOUN
ajst-5473	84	32	performance	performance	NOUN
ajst-5473	84	33	of	of	ADP
ajst-5473	84	34	the	the	DET
ajst-5473	84	35	entire	entire	ADJ
ajst-5473	84	36	system	system	NOUN
ajst-5473	84	37	.	.	PUNCT
ajst-5473	85	1	4.2	4.2	NUM
ajst-5473	85	2	.	.	PUNCT
ajst-5473	85	3	comparison	comparison	NOUN
ajst-5473	85	4	of	of	ADP
ajst-5473	85	5	navigation	navigation	NOUN
ajst-5473	85	6	line	line	NOUN
ajst-5473	85	7	extraction	extraction	NOUN
ajst-5473	85	8	algorithms	algorithm	NOUN
ajst-5473	85	9	the	the	DET
ajst-5473	85	10	hough	hough	PROPN
ajst-5473	85	11	transform	transform	VERB
ajst-5473	85	12	controls	control	VERB
ajst-5473	85	13	the	the	DET
ajst-5473	85	14	straight	straight	ADJ
ajst-5473	85	15	-	-	PUNCT
ajst-5473	85	16	line	line	NOUN
ajst-5473	85	17	fitting	fitting	ADJ
ajst-5473	85	18	results	result	NOUN
ajst-5473	85	19	of	of	ADP
ajst-5473	85	20	navigation	navigation	NOUN
ajst-5473	85	21	keys	key	NOUN
ajst-5473	85	22	through	through	ADP
ajst-5473	85	23	three	three	NUM
ajst-5473	85	24	parameters	parameter	NOUN
ajst-5473	85	25	:	:	PUNCT
ajst-5473	85	26	polar	polar	ADJ
ajst-5473	85	27	distance	distance	NOUN
ajst-5473	85	28	resolution	resolution	NOUN
ajst-5473	85	29	,	,	PUNCT
ajst-5473	85	30	polar	polar	ADJ
ajst-5473	85	31	angle	angle	NOUN
ajst-5473	85	32	resolution	resolution	NOUN
ajst-5473	85	33	,	,	PUNCT
ajst-5473	85	34	and	and	CCONJ
ajst-5473	85	35	accumulation	accumulation	NOUN
ajst-5473	85	36	threshold	threshold	NOUN
ajst-5473	85	37	.	.	PUNCT
ajst-5473	86	1	to	to	PART
ajst-5473	86	2	improve	improve	VERB
ajst-5473	86	3	the	the	DET
ajst-5473	86	4	accuracy	accuracy	NOUN
ajst-5473	86	5	of	of	ADP
ajst-5473	86	6	straight	straight	ADJ
ajst-5473	86	7	-	-	PUNCT
ajst-5473	86	8	line	line	NOUN
ajst-5473	86	9	fitting	fitting	NOUN
ajst-5473	86	10	,	,	PUNCT
ajst-5473	86	11	set	set	VERB
ajst-5473	86	12	the	the	DET
ajst-5473	86	13	polar	polar	ADJ
ajst-5473	86	14	distance	distance	NOUN
ajst-5473	86	15	resolution	resolution	NOUN
ajst-5473	86	16	to	to	ADP
ajst-5473	86	17	1	1	NUM
ajst-5473	86	18	pixel	pixel	NOUN
ajst-5473	86	19	and	and	CCONJ
ajst-5473	86	20	the	the	DET
ajst-5473	86	21	polar	polar	ADJ
ajst-5473	86	22	angle	angle	NOUN
ajst-5473	86	23	resolution	resolution	NOUN
ajst-5473	86	24	to	to	ADP
ajst-5473	86	25	1rad	1rad	NUM
ajst-5473	86	26	.	.	PUNCT
ajst-5473	87	1	the	the	DET
ajst-5473	87	2	accumulation	accumulation	NOUN
ajst-5473	87	3	threshold	threshold	NOUN
ajst-5473	87	4	is	be	AUX
ajst-5473	87	5	used	use	VERB
ajst-5473	87	6	to	to	PART
ajst-5473	87	7	determine	determine	VERB
ajst-5473	87	8	the	the	DET
ajst-5473	87	9	number	number	NOUN
ajst-5473	87	10	of	of	ADP
ajst-5473	87	11	straight	straight	ADJ
ajst-5473	87	12	lines	line	NOUN
ajst-5473	87	13	fitted	fit	VERB
ajst-5473	87	14	,	,	PUNCT
ajst-5473	87	15	and	and	CCONJ
ajst-5473	87	16	when	when	SCONJ
ajst-5473	87	17	the	the	DET
ajst-5473	87	18	accumulation	accumulation	NOUN
ajst-5473	87	19	threshold	threshold	NOUN
ajst-5473	87	20	is	be	AUX
ajst-5473	87	21	too	too	ADV
ajst-5473	87	22	small	small	ADJ
ajst-5473	87	23	,	,	PUNCT
ajst-5473	87	24	multiple	multiple	ADJ
ajst-5473	87	25	straight	straight	ADJ
ajst-5473	87	26	lines	line	NOUN
ajst-5473	87	27	are	be	AUX
ajst-5473	87	28	fitted	fit	VERB
ajst-5473	87	29	,	,	PUNCT
ajst-5473	87	30	which	which	PRON
ajst-5473	87	31	is	be	AUX
ajst-5473	87	32	not	not	PART
ajst-5473	87	33	conducive	conducive	ADJ
ajst-5473	87	34	to	to	ADP
ajst-5473	87	35	the	the	DET
ajst-5473	87	36	extraction	extraction	NOUN
ajst-5473	87	37	of	of	ADP
ajst-5473	87	38	navigation	navigation	NOUN
ajst-5473	87	39	parameters	parameter	NOUN
ajst-5473	87	40	.	.	PUNCT
ajst-5473	88	1	it	it	PRON
ajst-5473	88	2	is	be	AUX
ajst-5473	88	3	known	know	VERB
ajst-5473	88	4	through	through	ADP
ajst-5473	88	5	experiments	experiment	NOUN
ajst-5473	88	6	that	that	SCONJ
ajst-5473	88	7	when	when	SCONJ
ajst-5473	88	8	the	the	DET
ajst-5473	88	9	accumulation	accumulation	NOUN
ajst-5473	88	10	threshold	threshold	NOUN
ajst-5473	88	11	is	be	AUX
ajst-5473	88	12	greater	great	ADJ
ajst-5473	88	13	than	than	ADP
ajst-5473	88	14	94	94	NUM
ajst-5473	88	15	and	and	CCONJ
ajst-5473	88	16	less	less	ADJ
ajst-5473	88	17	than	than	ADP
ajst-5473	88	18	99	99	NUM
ajst-5473	88	19	,	,	PUNCT
ajst-5473	88	20	a	a	DET
ajst-5473	88	21	straight	straight	ADJ
ajst-5473	88	22	line	line	NOUN
ajst-5473	88	23	is	be	AUX
ajst-5473	88	24	fitted	fit	VERB
ajst-5473	88	25	.	.	PUNCT
ajst-5473	89	1	therefore	therefore	ADV
ajst-5473	89	2	,	,	PUNCT
ajst-5473	89	3	set	set	VERB
ajst-5473	89	4	the	the	DET
ajst-5473	89	5	accumulation	accumulation	NOUN
ajst-5473	89	6	threshold	threshold	NOUN
ajst-5473	89	7	to	to	ADP
ajst-5473	89	8	95	95	NUM
ajst-5473	89	9	.	.	PUNCT
ajst-5473	90	1	the	the	DET
ajst-5473	90	2	results	result	NOUN
ajst-5473	90	3	of	of	ADP
ajst-5473	90	4	the	the	DET
ajst-5473	90	5	hough	hough	PROPN
ajst-5473	90	6	transform	transform	VERB
ajst-5473	90	7	navigation	navigation	NOUN
ajst-5473	90	8	line	line	NOUN
ajst-5473	90	9	extraction	extraction	NOUN
ajst-5473	90	10	are	be	AUX
ajst-5473	90	11	shown	show	VERB
ajst-5473	90	12	in	in	ADP
ajst-5473	90	13	figure	figure	NOUN
ajst-5473	90	14	7	7	NUM
ajst-5473	90	15	.	.	PUNCT
ajst-5473	90	16	figure	figure	NOUN
ajst-5473	90	17	7	7	NUM
ajst-5473	90	18	.	.	PUNCT
ajst-5473	91	1	hough	hough	PROPN
ajst-5473	91	2	transforms	transform	VERB
ajst-5473	91	3	navigation	navigation	NOUN
ajst-5473	91	4	lines	line	NOUN
ajst-5473	91	5	to	to	PART
ajst-5473	91	6	extract	extract	VERB
ajst-5473	91	7	results	result	NOUN
ajst-5473	91	8	the	the	DET
ajst-5473	91	9	ransac	ransac	NOUN
ajst-5473	91	10	algorithm	algorithm	NOUN
ajst-5473	91	11	is	be	AUX
ajst-5473	91	12	a	a	DET
ajst-5473	91	13	learning	learning	NOUN
ajst-5473	91	14	technique	technique	NOUN
ajst-5473	91	15	that	that	PRON
ajst-5473	91	16	estimates	estimate	VERB
ajst-5473	91	17	model	model	NOUN
ajst-5473	91	18	parameters	parameter	NOUN
ajst-5473	91	19	by	by	ADP
ajst-5473	91	20	randomly	randomly	ADV
ajst-5473	91	21	sampling	sample	VERB
ajst-5473	91	22	the	the	DET
ajst-5473	91	23	observed	observed	ADJ
ajst-5473	91	24	data	datum	NOUN
ajst-5473	91	25	.	.	PUNCT
ajst-5473	92	1	first	first	ADV
ajst-5473	92	2	,	,	PUNCT
ajst-5473	92	3	two	two	NUM
ajst-5473	92	4	random	random	ADJ
ajst-5473	92	5	points	point	NOUN
ajst-5473	92	6	are	be	AUX
ajst-5473	92	7	selected	select	VERB
ajst-5473	92	8	from	from	ADP
ajst-5473	92	9	the	the	DET
ajst-5473	92	10	set	set	NOUN
ajst-5473	92	11	of	of	ADP
ajst-5473	92	12	navigation	navigation	NOUN
ajst-5473	92	13	keys	key	NOUN
ajst-5473	92	14	for	for	ADP
ajst-5473	92	15	parameter	parameter	NOUN
ajst-5473	92	16	estimation	estimation	NOUN
ajst-5473	92	17	.	.	PUNCT
ajst-5473	93	1	the	the	DET
ajst-5473	93	2	estimation	estimation	NOUN
ajst-5473	93	3	model	model	NOUN
ajst-5473	93	4	is	be	AUX
ajst-5473	93	5	then	then	ADV
ajst-5473	93	6	tested	test	VERB
ajst-5473	93	7	with	with	ADP
ajst-5473	93	8	all	all	DET
ajst-5473	93	9	navigation	navigation	NOUN
ajst-5473	93	10	keys	key	NOUN
ajst-5473	93	11	.	.	PUNCT
ajst-5473	94	1	by	by	ADP
ajst-5473	94	2	continuously	continuously	ADV
ajst-5473	94	3	establishing	establish	VERB
ajst-5473	94	4	hypotheses	hypothesis	NOUN
ajst-5473	94	5	and	and	CCONJ
ajst-5473	94	6	testing	testing	NOUN
ajst-5473	94	7	iterations	iteration	NOUN
ajst-5473	94	8	,	,	PUNCT
ajst-5473	94	9	the	the	DET
ajst-5473	94	10	optimal	optimal	ADJ
ajst-5473	94	11	straight	straight	ADJ
ajst-5473	94	12	line	line	NOUN
ajst-5473	94	13	is	be	AUX
ajst-5473	94	14	obtained	obtain	VERB
ajst-5473	94	15	.	.	PUNCT
ajst-5473	95	1	the	the	DET
ajst-5473	95	2	parameters	parameter	NOUN
ajst-5473	95	3	of	of	ADP
ajst-5473	95	4	the	the	DET
ajst-5473	95	5	ransac	ransac	NOUN
ajst-5473	95	6	algorithm	algorithm	NOUN
ajst-5473	95	7	are	be	AUX
ajst-5473	95	8	set	set	VERB
ajst-5473	95	9	as	as	SCONJ
ajst-5473	95	10	follows	follow	VERB
ajst-5473	95	11	:	:	PUNCT
ajst-5473	95	12	success	success	NOUN
ajst-5473	95	13	probability	probability	NOUN
ajst-5473	95	14	p	p	X
ajst-5473	95	15	=	=	NOUN
ajst-5473	95	16	0.99	0.99	NUM
ajst-5473	95	17	,	,	PUNCT
ajst-5473	95	18	total	total	ADJ
ajst-5473	95	19	data	datum	NOUN
ajst-5473	95	20	n=65	n=65	NOUN
ajst-5473	95	21	,	,	PUNCT
ajst-5473	95	22	acceptable	acceptable	ADJ
ajst-5473	95	23	difference	difference	NOUN
ajst-5473	95	24	between	between	ADP
ajst-5473	95	25	data	datum	NOUN
ajst-5473	95	26	and	and	CCONJ
ajst-5473	95	27	model	model	NOUN
ajst-5473	95	28	sigma	sigma	PROPN
ajst-5473	95	29	=	=	SYM
ajst-5473	95	30	0.1	0.1	NUM
ajst-5473	95	31	,	,	PUNCT
ajst-5473	95	32	let	let	VERB
ajst-5473	95	33	w	w	PART
ajst-5473	95	34	represent	represent	VERB
ajst-5473	95	35	the	the	DET
ajst-5473	95	36	probability	probability	NOUN
ajst-5473	95	37	of	of	ADP
ajst-5473	95	38	selecting	select	VERB
ajst-5473	95	39	an	an	DET
ajst-5473	95	40	interior	interior	ADJ
ajst-5473	95	41	point	point	NOUN
ajst-5473	95	42	each	each	DET
ajst-5473	95	43	time	time	NOUN
ajst-5473	95	44	a	a	DET
ajst-5473	95	45	point	point	NOUN
ajst-5473	95	46	is	be	AUX
ajst-5473	95	47	selected	select	VERB
ajst-5473	95	48	(	(	PUNCT
ajst-5473	95	49	w	w	NOUN
ajst-5473	95	50	is	be	AUX
ajst-5473	95	51	the	the	DET
ajst-5473	95	52	number	number	NOUN
ajst-5473	95	53	of	of	ADP
ajst-5473	95	54	inside	inside	ADJ
ajst-5473	95	55	points	point	NOUN
ajst-5473	95	56	divided	divide	VERB
ajst-5473	95	57	by	by	ADP
ajst-5473	95	58	the	the	DET
ajst-5473	95	59	total	total	ADJ
ajst-5473	95	60	number	number	NOUN
ajst-5473	95	61	of	of	ADP
ajst-5473	95	62	points	point	NOUN
ajst-5473	95	63	)	)	PUNCT
ajst-5473	95	64	.	.	PUNCT
ajst-5473	96	1	number	number	NOUN
ajst-5473	96	2	of	of	ADP
ajst-5473	96	3	iterations	iteration	NOUN
ajst-5473	96	4	:	:	PUNCT
ajst-5473	96	5	k=(log(1	k=(log(1	NOUN
ajst-5473	96	6	-	-	PUNCT
ajst-5473	96	7	p	p	NOUN
ajst-5473	96	8	)	)	PUNCT
ajst-5473	96	9	)	)	PUNCT
ajst-5473	97	1	∕	∕	NOUN
ajst-5473	97	2	(	(	PUNCT
ajst-5473	97	3	log(1	log(1	NOUN
ajst-5473	97	4	-	-	PUNCT
ajst-5473	97	5	w^n	w^n	NOUN
ajst-5473	97	6	)	)	PUNCT
ajst-5473	97	7	)	)	PUNCT
ajst-5473	97	8	.	.	PUNCT
ajst-5473	98	1	(	(	PUNCT
ajst-5473	98	2	1	1	X
ajst-5473	98	3	)	)	PUNCT
ajst-5473	98	4	the	the	DET
ajst-5473	98	5	navigation	navigation	NOUN
ajst-5473	98	6	line	line	NOUN
ajst-5473	98	7	extraction	extraction	NOUN
ajst-5473	98	8	results	result	NOUN
ajst-5473	98	9	of	of	ADP
ajst-5473	98	10	the	the	DET
ajst-5473	98	11	ransac	ransac	NOUN
ajst-5473	98	12	algorithm	algorithm	NOUN
ajst-5473	98	13	are	be	AUX
ajst-5473	98	14	shown	show	VERB
ajst-5473	98	15	in	in	ADP
ajst-5473	98	16	figure	figure	NOUN
ajst-5473	98	17	8	8	NUM
ajst-5473	98	18	.	.	PUNCT
ajst-5473	99	1	figure	figure	NOUN
ajst-5473	99	2	8	8	NUM
ajst-5473	99	3	.	.	PUNCT
ajst-5473	100	1	the	the	DET
ajst-5473	100	2	results	result	NOUN
ajst-5473	100	3	of	of	ADP
ajst-5473	100	4	the	the	DET
ajst-5473	100	5	navigation	navigation	NOUN
ajst-5473	100	6	line	line	NOUN
ajst-5473	100	7	extraction	extraction	NOUN
ajst-5473	100	8	by	by	ADP
ajst-5473	100	9	the	the	DET
ajst-5473	100	10	ransac	ransac	NOUN
ajst-5473	100	11	method	method	NOUN
ajst-5473	100	12	compared	compare	VERB
ajst-5473	100	13	with	with	ADP
ajst-5473	100	14	the	the	DET
ajst-5473	100	15	above	above	ADJ
ajst-5473	100	16	two	two	NUM
ajst-5473	100	17	algorithms	algorithm	NOUN
ajst-5473	100	18	,	,	PUNCT
ajst-5473	100	19	the	the	DET
ajst-5473	100	20	least	least	ADJ
ajst-5473	100	21	squares	square	NOUN
ajst-5473	100	22	method	method	NOUN
ajst-5473	100	23	is	be	AUX
ajst-5473	100	24	a	a	DET
ajst-5473	100	25	relatively	relatively	ADV
ajst-5473	100	26	simple	simple	ADJ
ajst-5473	100	27	straight	straight	ADJ
ajst-5473	100	28	-	-	PUNCT
ajst-5473	100	29	line	line	NOUN
ajst-5473	100	30	fitting	fitting	ADJ
ajst-5473	100	31	method	method	NOUN
ajst-5473	100	32	.	.	PUNCT
ajst-5473	101	1	when	when	SCONJ
ajst-5473	101	2	using	use	VERB
ajst-5473	101	3	the	the	DET
ajst-5473	101	4	least	least	ADJ
ajst-5473	101	5	squares	square	NOUN
ajst-5473	101	6	method	method	NOUN
ajst-5473	101	7	for	for	ADP
ajst-5473	101	8	line	line	NOUN
ajst-5473	101	9	fitting	fitting	ADJ
ajst-5473	101	10	,	,	PUNCT
ajst-5473	101	11	parameter	parameter	NOUN
ajst-5473	101	12	settings	setting	NOUN
ajst-5473	101	13	are	be	AUX
ajst-5473	101	14	not	not	PART
ajst-5473	101	15	necessary	necessary	ADJ
ajst-5473	101	16	.	.	PUNCT
ajst-5473	102	1	therefore	therefore	ADV
ajst-5473	102	2	,	,	PUNCT
ajst-5473	102	3	the	the	DET
ajst-5473	102	4	navigation	navigation	NOUN
ajst-5473	102	5	line	line	NOUN
ajst-5473	102	6	extraction	extraction	NOUN
ajst-5473	102	7	results	result	NOUN
ajst-5473	102	8	are	be	AUX
ajst-5473	102	9	only	only	ADV
ajst-5473	102	10	related	relate	VERB
ajst-5473	102	11	to	to	ADP
ajst-5473	102	12	the	the	DET
ajst-5473	102	13	navigation	navigation	NOUN
ajst-5473	102	14	key	key	ADJ
ajst-5473	102	15	points	point	NOUN
ajst-5473	102	16	.	.	PUNCT
ajst-5473	103	1	the	the	DET
ajst-5473	103	2	results	result	NOUN
ajst-5473	103	3	of	of	ADP
ajst-5473	103	4	the	the	DET
ajst-5473	103	5	least	least	ADJ
ajst-5473	103	6	squares	square	NOUN
ajst-5473	103	7	navigation	navigation	NOUN
ajst-5473	103	8	line	line	NOUN
ajst-5473	103	9	extraction	extraction	NOUN
ajst-5473	103	10	are	be	AUX
ajst-5473	103	11	shown	show	VERB
ajst-5473	103	12	in	in	ADP
ajst-5473	103	13	figure	figure	NOUN
ajst-5473	103	14	9	9	NUM
ajst-5473	103	15	.	.	PUNCT
ajst-5473	103	16	figure	figure	NOUN
ajst-5473	103	17	9	9	NUM
ajst-5473	103	18	.	.	PUNCT
ajst-5473	104	1	least	least	ADJ
ajst-5473	104	2	squares	square	NOUN
ajst-5473	104	3	navigation	navigation	NOUN
ajst-5473	104	4	line	line	NOUN
ajst-5473	104	5	extraction	extraction	NOUN
ajst-5473	104	6	results	result	NOUN
ajst-5473	104	7	in	in	ADP
ajst-5473	104	8	order	order	NOUN
ajst-5473	104	9	to	to	PART
ajst-5473	104	10	judge	judge	VERB
ajst-5473	104	11	the	the	DET
ajst-5473	104	12	accuracy	accuracy	NOUN
ajst-5473	104	13	of	of	ADP
ajst-5473	104	14	the	the	DET
ajst-5473	104	15	extracted	extract	VERB
ajst-5473	104	16	navigation	navigation	NOUN
ajst-5473	104	17	lines	line	NOUN
ajst-5473	104	18	,	,	PUNCT
ajst-5473	104	19	this	this	DET
ajst-5473	104	20	paper	paper	NOUN
ajst-5473	104	21	uses	use	VERB
ajst-5473	104	22	the	the	DET
ajst-5473	104	23	manually	manually	ADV
ajst-5473	104	24	drawn	draw	VERB
ajst-5473	104	25	center	center	NOUN
ajst-5473	104	26	line	line	NOUN
ajst-5473	104	27	of	of	ADP
ajst-5473	104	28	the	the	DET
ajst-5473	104	29	green	green	PROPN
ajst-5473	104	30	onion	onion	PROPN
ajst-5473	104	31	ridge	ridge	NOUN
ajst-5473	104	32	as	as	ADP
ajst-5473	104	33	the	the	DET
ajst-5473	104	34	reference	reference	NOUN
ajst-5473	104	35	standard	standard	NOUN
ajst-5473	104	36	.	.	PUNCT
ajst-5473	105	1	the	the	DET
ajst-5473	105	2	angle	angle	NOUN
ajst-5473	105	3	between	between	ADP
ajst-5473	105	4	the	the	DET
ajst-5473	105	5	extracted	extract	VERB
ajst-5473	105	6	navigation	navigation	NOUN
ajst-5473	105	7	line	line	NOUN
ajst-5473	105	8	and	and	CCONJ
ajst-5473	105	9	the	the	DET
ajst-5473	105	10	manually	manually	ADV
ajst-5473	105	11	drawn	draw	VERB
ajst-5473	105	12	center	center	NOUN
ajst-5473	105	13	line	line	NOUN
ajst-5473	105	14	of	of	ADP
ajst-5473	105	15	the	the	DET
ajst-5473	105	16	green	green	PROPN
ajst-5473	105	17	onion	onion	PROPN
ajst-5473	105	18	ridge	ridge	NOUN
ajst-5473	105	19	is	be	AUX
ajst-5473	105	20	the	the	DET
ajst-5473	105	21	error	error	NOUN
ajst-5473	105	22	angle	angle	NOUN
ajst-5473	105	23	extracted	extract	VERB
ajst-5473	105	24	by	by	ADP
ajst-5473	105	25	the	the	DET
ajst-5473	105	26	navigation	navigation	NOUN
ajst-5473	105	27	line	line	NOUN
ajst-5473	105	28	,	,	PUNCT
ajst-5473	105	29	and	and	CCONJ
ajst-5473	105	30	when	when	SCONJ
ajst-5473	105	31	the	the	DET
ajst-5473	105	32	error	error	NOUN
ajst-5473	105	33	angle	angle	NOUN
ajst-5473	105	34	is	be	AUX
ajst-5473	105	35	less	less	ADJ
ajst-5473	105	36	than	than	ADP
ajst-5473	105	37	5	5	NUM
ajst-5473	105	38	°	°	NOUN
ajst-5473	105	39	,	,	PUNCT
ajst-5473	105	40	the	the	DET
ajst-5473	105	41	extracted	extract	VERB
ajst-5473	105	42	navigation	navigation	NOUN
ajst-5473	105	43	line	line	NOUN
ajst-5473	105	44	can	can	AUX
ajst-5473	105	45	meet	meet	VERB
ajst-5473	105	46	the	the	DET
ajst-5473	105	47	requirements	requirement	NOUN
ajst-5473	105	48	of	of	ADP
ajst-5473	105	49	accurate	accurate	ADJ
ajst-5473	105	50	navigation	navigation	NOUN
ajst-5473	105	51	.	.	PUNCT
ajst-5473	106	1	from	from	ADP
ajst-5473	106	2	figure	figure	NOUN
ajst-5473	106	3	7	7	NUM
ajst-5473	106	4	,	,	PUNCT
ajst-5473	106	5	8	8	NUM
ajst-5473	106	6	and	and	CCONJ
ajst-5473	106	7	9	9	NUM
ajst-5473	106	8	,	,	PUNCT
ajst-5473	106	9	it	it	PRON
ajst-5473	106	10	can	can	AUX
ajst-5473	106	11	be	be	AUX
ajst-5473	106	12	intuitively	intuitively	ADV
ajst-5473	106	13	seen	see	VERB
ajst-5473	106	14	that	that	SCONJ
ajst-5473	106	15	the	the	DET
ajst-5473	106	16	navigation	navigation	NOUN
ajst-5473	106	17	lines	line	NOUN
ajst-5473	106	18	extracted	extract	VERB
ajst-5473	106	19	by	by	ADP
ajst-5473	106	20	applying	apply	VERB
ajst-5473	106	21	the	the	DET
ajst-5473	106	22	least	least	ADJ
ajst-5473	106	23	squares	square	NOUN
ajst-5473	106	24	method	method	NOUN
ajst-5473	106	25	are	be	AUX
ajst-5473	106	26	significantly	significantly	ADV
ajst-5473	106	27	better	well	ADJ
ajst-5473	106	28	than	than	ADP
ajst-5473	106	29	the	the	DET
ajst-5473	106	30	other	other	ADJ
ajst-5473	106	31	two	two	NUM
ajst-5473	106	32	algorithms	algorithm	NOUN
ajst-5473	106	33	.	.	PUNCT
ajst-5473	107	1	in	in	ADP
ajst-5473	107	2	order	order	NOUN
ajst-5473	107	3	to	to	PART
ajst-5473	107	4	further	far	ADV
ajst-5473	107	5	verify	verify	VERB
ajst-5473	107	6	the	the	DET
ajst-5473	107	7	advantages	advantage	NOUN
ajst-5473	107	8	of	of	ADP
ajst-5473	107	9	least	least	ADJ
ajst-5473	107	10	squares	square	NOUN
ajst-5473	107	11	method	method	NOUN
ajst-5473	107	12	,	,	PUNCT
ajst-5473	107	13	this	this	DET
ajst-5473	107	14	paper	paper	NOUN
ajst-5473	107	15	uses	use	VERB
ajst-5473	107	16	least	least	ADJ
ajst-5473	107	17	squares	square	NOUN
ajst-5473	107	18	method	method	NOUN
ajst-5473	107	19	,	,	PUNCT
ajst-5473	107	20	hough	hough	PROPN
ajst-5473	107	21	transform	transform	VERB
ajst-5473	107	22	,	,	PUNCT
ajst-5473	107	23	and	and	CCONJ
ajst-5473	107	24	ransac	ransac	NOUN
ajst-5473	107	25	algorithm	algorithm	NOUN
ajst-5473	107	26	to	to	PART
ajst-5473	107	27	extract	extract	VERB
ajst-5473	107	28	navigation	navigation	NOUN
ajst-5473	107	29	lines	line	NOUN
ajst-5473	107	30	from	from	ADP
ajst-5473	107	31	50	50	NUM
ajst-5473	107	32	images	image	NOUN
ajst-5473	107	33	,	,	PUNCT
ajst-5473	107	34	and	and	CCONJ
ajst-5473	107	35	compares	compare	VERB
ajst-5473	107	36	and	and	CCONJ
ajst-5473	107	37	analyzes	analyze	VERB
ajst-5473	107	38	the	the	DET
ajst-5473	107	39	navigation	navigation	NOUN
ajst-5473	107	40	lines	line	NOUN
ajst-5473	107	41	extracted	extract	VERB
ajst-5473	107	42	by	by	ADP
ajst-5473	107	43	the	the	DET
ajst-5473	107	44	three	three	NUM
ajst-5473	107	45	algorithms	algorithm	NOUN
ajst-5473	107	46	,	,	PUNCT
ajst-5473	107	47	and	and	CCONJ
ajst-5473	107	48	the	the	DET
ajst-5473	107	49	results	result	NOUN
ajst-5473	107	50	are	be	AUX
ajst-5473	107	51	shown	show	VERB
ajst-5473	107	52	in	in	ADP
ajst-5473	107	53	table	table	NOUN
ajst-5473	107	54	1	1	NUM
ajst-5473	107	55	.	.	PUNCT
ajst-5473	107	56	compared	compare	VERB
ajst-5473	107	57	with	with	ADP
ajst-5473	107	58	the	the	DET
ajst-5473	107	59	hough	hough	PROPN
ajst-5473	107	60	140	140	NUM
ajst-5473	107	61	transform	transform	NOUN
ajst-5473	107	62	,	,	PUNCT
ajst-5473	107	63	the	the	DET
ajst-5473	107	64	error	error	NOUN
ajst-5473	107	65	angle	angle	NOUN
ajst-5473	107	66	of	of	ADP
ajst-5473	107	67	the	the	DET
ajst-5473	107	68	navigation	navigation	NOUN
ajst-5473	107	69	line	line	NOUN
ajst-5473	107	70	extracted	extract	VERB
ajst-5473	107	71	by	by	ADP
ajst-5473	107	72	the	the	DET
ajst-5473	107	73	least	least	ADJ
ajst-5473	107	74	squares	square	NOUN
ajst-5473	107	75	method	method	NOUN
ajst-5473	107	76	is	be	AUX
ajst-5473	107	77	reduced	reduce	VERB
ajst-5473	107	78	by	by	ADP
ajst-5473	107	79	1.478	1.478	NUM
ajst-5473	107	80	°	°	NOUN
ajst-5473	107	81	,	,	PUNCT
ajst-5473	107	82	and	and	CCONJ
ajst-5473	107	83	the	the	DET
ajst-5473	107	84	time	time	NOUN
ajst-5473	107	85	consumption	consumption	NOUN
ajst-5473	107	86	is	be	AUX
ajst-5473	107	87	reduced	reduce	VERB
ajst-5473	107	88	by	by	ADP
ajst-5473	107	89	17ms	17m	NOUN
ajst-5473	107	90	.	.	PUNCT
ajst-5473	108	1	compared	compare	VERB
ajst-5473	108	2	with	with	ADP
ajst-5473	108	3	the	the	DET
ajst-5473	108	4	ransac	ransac	NOUN
ajst-5473	108	5	algorithm	algorithm	NOUN
ajst-5473	108	6	,	,	PUNCT
ajst-5473	108	7	the	the	DET
ajst-5473	108	8	error	error	NOUN
ajst-5473	108	9	angle	angle	NOUN
ajst-5473	108	10	of	of	ADP
ajst-5473	108	11	the	the	DET
ajst-5473	108	12	navigation	navigation	NOUN
ajst-5473	108	13	line	line	NOUN
ajst-5473	108	14	extracted	extract	VERB
ajst-5473	108	15	by	by	ADP
ajst-5473	108	16	the	the	DET
ajst-5473	108	17	least	least	ADJ
ajst-5473	108	18	squares	square	NOUN
ajst-5473	108	19	method	method	NOUN
ajst-5473	108	20	is	be	AUX
ajst-5473	108	21	reduced	reduce	VERB
ajst-5473	108	22	by	by	ADP
ajst-5473	108	23	4.379	4.379	NUM
ajst-5473	108	24	°	°	NOUN
ajst-5473	108	25	,	,	PUNCT
ajst-5473	108	26	and	and	CCONJ
ajst-5473	108	27	the	the	DET
ajst-5473	108	28	time	time	NOUN
ajst-5473	108	29	consumption	consumption	NOUN
ajst-5473	108	30	is	be	AUX
ajst-5473	108	31	reduced	reduce	VERB
ajst-5473	108	32	by	by	ADP
ajst-5473	108	33	61ms	61ms	NOUN
ajst-5473	108	34	.	.	PUNCT
ajst-5473	109	1	the	the	DET
ajst-5473	109	2	experimental	experimental	ADJ
ajst-5473	109	3	results	result	NOUN
ajst-5473	109	4	show	show	VERB
ajst-5473	109	5	that	that	SCONJ
ajst-5473	109	6	the	the	DET
ajst-5473	109	7	least	least	ADJ
ajst-5473	109	8	squares	square	NOUN
ajst-5473	109	9	method	method	NOUN
ajst-5473	109	10	is	be	AUX
ajst-5473	109	11	superior	superior	ADJ
ajst-5473	109	12	to	to	ADP
ajst-5473	109	13	the	the	DET
ajst-5473	109	14	other	other	ADJ
ajst-5473	109	15	two	two	NUM
ajst-5473	109	16	algorithms	algorithm	NOUN
ajst-5473	109	17	in	in	ADP
ajst-5473	109	18	terms	term	NOUN
ajst-5473	109	19	of	of	ADP
ajst-5473	109	20	navigation	navigation	NOUN
ajst-5473	109	21	accuracy	accuracy	NOUN
ajst-5473	109	22	and	and	CCONJ
ajst-5473	109	23	real	real	ADJ
ajst-5473	109	24	-	-	PUNCT
ajst-5473	109	25	time	time	NOUN
ajst-5473	109	26	performance	performance	NOUN
ajst-5473	109	27	.	.	PUNCT
ajst-5473	110	1	table	table	NOUN
ajst-5473	110	2	1	1	NUM
ajst-5473	110	3	.	.	PUNCT
ajst-5473	110	4	comparison	comparison	NOUN
ajst-5473	110	5	of	of	ADP
ajst-5473	110	6	error	error	NOUN
ajst-5473	110	7	angles	angle	NOUN
ajst-5473	110	8	and	and	CCONJ
ajst-5473	110	9	time	time	NOUN
ajst-5473	110	10	consumption	consumption	NOUN
ajst-5473	110	11	of	of	ADP
ajst-5473	110	12	different	different	ADJ
ajst-5473	110	13	algorithms	algorithm	NOUN
ajst-5473	110	14	algorithm	algorithm	NOUN
ajst-5473	110	15	name	name	NOUN
ajst-5473	110	16	number	number	NOUN
ajst-5473	110	17	of	of	ADP
ajst-5473	110	18	images/(frame	images/(frame	NOUN
ajst-5473	110	19	)	)	PUNCT
ajst-5473	110	20	average	average	ADJ
ajst-5473	110	21	error	error	NOUN
ajst-5473	110	22	angle/	angle/	NUM
ajst-5473	110	23	(	(	PUNCT
ajst-5473	110	24	°	°	ADJ
ajst-5473	110	25	)	)	PUNCT
ajst-5473	110	26	average	average	ADJ
ajst-5473	110	27	time	time	NOUN
ajst-5473	110	28	consumption	consumption	NOUN
ajst-5473	110	29	per	per	ADP
ajst-5473	110	30	frame/(ms	frame/(ms	NOUN
ajst-5473	110	31	)	)	PUNCT
ajst-5473	111	1	hough	hough	PROPN
ajst-5473	111	2	transform	transform	VERB
ajst-5473	111	3	50	50	NUM
ajst-5473	111	4	2.127	2.127	NUM
ajst-5473	111	5	88	88	NUM
ajst-5473	111	6	ransac	ransac	NOUN
ajst-5473	111	7	algorithm	algorithm	NOUN
ajst-5473	111	8	50	50	NUM
ajst-5473	111	9	5.028	5.028	NUM
ajst-5473	111	10	132	132	NUM
ajst-5473	111	11	least	least	ADJ
ajst-5473	111	12	squares	square	NOUN
ajst-5473	111	13	50	50	NUM
ajst-5473	111	14	0.649	0.649	NUM
ajst-5473	111	15	71	71	NUM
ajst-5473	111	16	5	5	NUM
ajst-5473	111	17	.	.	PUNCT
ajst-5473	111	18	conclusion	conclusion	NOUN
ajst-5473	111	19	1	1	NUM
ajst-5473	111	20	)	)	PUNCT
ajst-5473	111	21	the	the	DET
ajst-5473	111	22	original	original	ADJ
ajst-5473	111	23	image	image	NOUN
ajst-5473	111	24	was	be	AUX
ajst-5473	111	25	preprocessed	preprocesse	VERB
ajst-5473	111	26	by	by	ADP
ajst-5473	111	27	g	g	NOUN
ajst-5473	111	28	-	-	PUNCT
ajst-5473	111	29	r	r	NOUN
ajst-5473	111	30	algorithm	algorithm	NOUN
ajst-5473	111	31	,	,	PUNCT
ajst-5473	111	32	maximum	maximum	ADJ
ajst-5473	111	33	between	between	ADP
ajst-5473	111	34	-	-	PUNCT
ajst-5473	111	35	class	class	NOUN
ajst-5473	111	36	variance	variance	NOUN
ajst-5473	111	37	method	method	NOUN
ajst-5473	111	38	and	and	CCONJ
ajst-5473	111	39	image	image	NOUN
ajst-5473	111	40	morphological	morphological	ADJ
ajst-5473	111	41	operation	operation	NOUN
ajst-5473	111	42	,	,	PUNCT
ajst-5473	111	43	and	and	CCONJ
ajst-5473	111	44	the	the	DET
ajst-5473	111	45	green	green	ADJ
ajst-5473	111	46	onion	onion	NOUN
ajst-5473	111	47	ridges	ridge	NOUN
ajst-5473	111	48	with	with	ADP
ajst-5473	111	49	good	good	ADJ
ajst-5473	111	50	connectivity	connectivity	NOUN
ajst-5473	111	51	were	be	AUX
ajst-5473	111	52	successfully	successfully	ADV
ajst-5473	111	53	separated	separate	VERB
ajst-5473	111	54	from	from	ADP
ajst-5473	111	55	the	the	DET
ajst-5473	111	56	soil	soil	NOUN
ajst-5473	111	57	background	background	NOUN
ajst-5473	111	58	.	.	PUNCT
ajst-5473	112	1	2	2	X
ajst-5473	112	2	)	)	PUNCT
ajst-5473	112	3	aiming	aim	VERB
ajst-5473	112	4	at	at	ADP
ajst-5473	112	5	the	the	DET
ajst-5473	112	6	shortcomings	shortcoming	NOUN
ajst-5473	112	7	of	of	ADP
ajst-5473	112	8	the	the	DET
ajst-5473	112	9	traditional	traditional	ADJ
ajst-5473	112	10	navigation	navigation	NOUN
ajst-5473	112	11	key	key	NOUN
ajst-5473	112	12	point	point	NOUN
ajst-5473	112	13	extraction	extraction	NOUN
ajst-5473	112	14	algorithm	algorithm	NOUN
ajst-5473	112	15	,	,	PUNCT
ajst-5473	112	16	a	a	DET
ajst-5473	112	17	navigation	navigation	NOUN
ajst-5473	112	18	key	key	ADJ
ajst-5473	112	19	extraction	extraction	NOUN
ajst-5473	112	20	algorithm	algorithm	NOUN
ajst-5473	112	21	based	base	VERB
ajst-5473	112	22	on	on	ADP
ajst-5473	112	23	the	the	DET
ajst-5473	112	24	edge	edge	NOUN
ajst-5473	112	25	features	feature	NOUN
ajst-5473	112	26	of	of	ADP
ajst-5473	112	27	the	the	DET
ajst-5473	112	28	verdant	verdant	ADJ
ajst-5473	112	29	edge	edge	NOUN
ajst-5473	112	30	is	be	AUX
ajst-5473	112	31	proposed	propose	VERB
ajst-5473	112	32	.	.	PUNCT
ajst-5473	113	1	the	the	DET
ajst-5473	113	2	algorithm	algorithm	NOUN
ajst-5473	113	3	can	can	AUX
ajst-5473	113	4	eliminate	eliminate	VERB
ajst-5473	113	5	the	the	DET
ajst-5473	113	6	influence	influence	NOUN
ajst-5473	113	7	of	of	ADP
ajst-5473	113	8	irregular	irregular	ADJ
ajst-5473	113	9	growth	growth	NOUN
ajst-5473	113	10	leaves	leave	NOUN
ajst-5473	113	11	and	and	CCONJ
ajst-5473	113	12	weeds	weed	NOUN
ajst-5473	113	13	,	,	PUNCT
ajst-5473	113	14	and	and	CCONJ
ajst-5473	113	15	there	there	PRON
ajst-5473	113	16	are	be	VERB
ajst-5473	113	17	no	no	DET
ajst-5473	113	18	outliers	outlier	NOUN
ajst-5473	113	19	in	in	ADP
ajst-5473	113	20	the	the	DET
ajst-5473	113	21	set	set	NOUN
ajst-5473	113	22	of	of	ADP
ajst-5473	113	23	extracted	extract	VERB
ajst-5473	113	24	navigation	navigation	NOUN
ajst-5473	113	25	key	key	ADJ
ajst-5473	113	26	points	point	NOUN
ajst-5473	113	27	,	,	PUNCT
ajst-5473	113	28	which	which	PRON
ajst-5473	113	29	can	can	AUX
ajst-5473	113	30	be	be	AUX
ajst-5473	113	31	directly	directly	ADV
ajst-5473	113	32	applied	apply	VERB
ajst-5473	113	33	to	to	ADP
ajst-5473	113	34	the	the	DET
ajst-5473	113	35	extraction	extraction	NOUN
ajst-5473	113	36	of	of	ADP
ajst-5473	113	37	navigation	navigation	NOUN
ajst-5473	113	38	lines	line	NOUN
ajst-5473	113	39	without	without	ADP
ajst-5473	113	40	the	the	DET
ajst-5473	113	41	culling	culling	NOUN
ajst-5473	113	42	of	of	ADP
ajst-5473	113	43	outliers	outlier	NOUN
ajst-5473	113	44	.	.	PUNCT
ajst-5473	114	1	then	then	ADV
ajst-5473	114	2	,	,	PUNCT
ajst-5473	114	3	the	the	DET
ajst-5473	114	4	least	least	ADJ
ajst-5473	114	5	squares	square	NOUN
ajst-5473	114	6	method	method	NOUN
ajst-5473	114	7	is	be	AUX
ajst-5473	114	8	applied	apply	VERB
ajst-5473	114	9	to	to	PART
ajst-5473	114	10	fit	fit	VERB
ajst-5473	114	11	the	the	DET
ajst-5473	114	12	navigation	navigation	NOUN
ajst-5473	114	13	key	key	ADJ
ajst-5473	114	14	points	point	NOUN
ajst-5473	114	15	in	in	ADP
ajst-5473	114	16	a	a	DET
ajst-5473	114	17	straight	straight	ADJ
ajst-5473	114	18	line	line	NOUN
ajst-5473	114	19	to	to	PART
ajst-5473	114	20	obtain	obtain	VERB
ajst-5473	114	21	the	the	DET
ajst-5473	114	22	green	green	PROPN
ajst-5473	114	23	onion	onion	PROPN
ajst-5473	114	24	ridge	ridge	PROPN
ajst-5473	114	25	navigation	navigation	NOUN
ajst-5473	114	26	line	line	NOUN
ajst-5473	114	27	.	.	PUNCT
ajst-5473	115	1	3	3	X
ajst-5473	115	2	)	)	PUNCT
ajst-5473	115	3	the	the	DET
ajst-5473	115	4	application	application	NOUN
ajst-5473	115	5	and	and	CCONJ
ajst-5473	115	6	comparative	comparative	ADJ
ajst-5473	115	7	analysis	analysis	NOUN
ajst-5473	115	8	of	of	ADP
ajst-5473	115	9	the	the	DET
ajst-5473	115	10	new	new	ADJ
ajst-5473	115	11	algorithm	algorithm	NOUN
ajst-5473	115	12	show	show	VERB
ajst-5473	115	13	that	that	SCONJ
ajst-5473	115	14	the	the	DET
ajst-5473	115	15	new	new	ADJ
ajst-5473	115	16	algorithm	algorithm	NOUN
ajst-5473	115	17	takes	take	VERB
ajst-5473	115	18	about	about	ADV
ajst-5473	115	19	71ms	71ms	NOUN
ajst-5473	115	20	to	to	PART
ajst-5473	115	21	process	process	VERB
ajst-5473	115	22	an	an	DET
ajst-5473	115	23	image	image	NOUN
ajst-5473	115	24	with	with	ADP
ajst-5473	115	25	a	a	DET
ajst-5473	115	26	resolution	resolution	NOUN
ajst-5473	115	27	of	of	ADP
ajst-5473	115	28	450	450	NUM
ajst-5473	115	29	pixels	pixel	NOUN
ajst-5473	115	30	×	×	NOUN
ajst-5473	115	31	330	330	NUM
ajst-5473	115	32	pixels	pixel	NOUN
ajst-5473	115	33	,	,	PUNCT
ajst-5473	115	34	and	and	CCONJ
ajst-5473	115	35	the	the	DET
ajst-5473	115	36	average	average	ADJ
ajst-5473	115	37	error	error	NOUN
ajst-5473	115	38	angle	angle	NOUN
ajst-5473	115	39	of	of	ADP
ajst-5473	115	40	navigation	navigation	NOUN
ajst-5473	115	41	lines	line	NOUN
ajst-5473	115	42	is	be	AUX
ajst-5473	115	43	0.649	0.649	NUM
ajst-5473	115	44	°	°	NOUN
ajst-5473	115	45	.	.	PUNCT
ajst-5473	116	1	compared	compare	VERB
ajst-5473	116	2	with	with	ADP
ajst-5473	116	3	the	the	DET
ajst-5473	116	4	traditional	traditional	ADJ
ajst-5473	116	5	method	method	NOUN
ajst-5473	116	6	,	,	PUNCT
ajst-5473	116	7	the	the	DET
ajst-5473	116	8	algorithm	algorithm	NOUN
ajst-5473	116	9	has	have	VERB
ajst-5473	116	10	high	high	ADJ
ajst-5473	116	11	accuracy	accuracy	NOUN
ajst-5473	116	12	and	and	CCONJ
ajst-5473	116	13	good	good	ADJ
ajst-5473	116	14	real	real	ADJ
ajst-5473	116	15	-	-	PUNCT
ajst-5473	116	16	time	time	NOUN
ajst-5473	116	17	performance	performance	NOUN
ajst-5473	116	18	,	,	PUNCT
ajst-5473	116	19	which	which	PRON
ajst-5473	116	20	can	can	AUX
ajst-5473	116	21	provide	provide	VERB
ajst-5473	116	22	more	more	ADV
ajst-5473	116	23	reliable	reliable	ADJ
ajst-5473	116	24	visual	visual	ADJ
ajst-5473	116	25	navigation	navigation	NOUN
ajst-5473	116	26	information	information	NOUN
ajst-5473	116	27	for	for	ADP
ajst-5473	116	28	green	green	ADJ
ajst-5473	116	29	onion	onion	NOUN
ajst-5473	116	30	harvesting	harvesting	NOUN
ajst-5473	116	31	operations	operation	NOUN
ajst-5473	116	32	.	.	PUNCT
ajst-5473	117	1	references	reference	NOUN
ajst-5473	117	2	[	[	X
ajst-5473	117	3	1	1	NUM
ajst-5473	117	4	]	]	X
ajst-5473	117	5	g.	g.	PROPN
ajst-5473	117	6	o.	o.	PROPN
ajst-5473	117	7	young	young	PROPN
ajst-5473	117	8	,	,	PUNCT
ajst-5473	117	9	“	"	PUNCT
ajst-5473	117	10	synthetic	synthetic	ADJ
ajst-5473	117	11	structure	structure	NOUN
ajst-5473	117	12	of	of	ADP
ajst-5473	117	13	industrial	industrial	ADJ
ajst-5473	117	14	plastics	plastic	NOUN
ajst-5473	117	15	(	(	PUNCT
ajst-5473	117	16	book	book	NOUN
ajst-5473	117	17	style	style	NOUN
ajst-5473	117	18	with	with	ADP
ajst-5473	117	19	paper	paper	NOUN
ajst-5473	117	20	title	title	NOUN
ajst-5473	117	21	and	and	CCONJ
ajst-5473	117	22	editor	editor	NOUN
ajst-5473	117	23	)	)	PUNCT
ajst-5473	117	24	,	,	PUNCT
ajst-5473	117	25	”	"	PUNCT
ajst-5473	117	26	in	in	ADP
ajst-5473	117	27	plastics	plastic	NOUN
ajst-5473	117	28	,	,	PUNCT
ajst-5473	117	29	2nd	2nd	ADJ
ajst-5473	117	30	ed	ed	NOUN
ajst-5473	117	31	.	.	PUNCT
ajst-5473	117	32	vol	vol	NOUN
ajst-5473	117	33	.	.	PROPN
ajst-5473	118	1	3	3	NUM
ajst-5473	118	2	,	,	PUNCT
ajst-5473	118	3	j.	j.	PROPN
ajst-5473	118	4	peters	peters	PROPN
ajst-5473	118	5	,	,	PUNCT
ajst-5473	118	6	ed	ed	NOUN
ajst-5473	118	7	.	.	PUNCT
ajst-5473	119	1	new	new	PROPN
ajst-5473	119	2	york	york	PROPN
ajst-5473	119	3	:	:	PUNCT
ajst-5473	119	4	mcgraw	mcgraw	PROPN
ajst-5473	119	5	-	-	PUNCT
ajst-5473	119	6	hill	hill	PROPN
ajst-5473	119	7	,	,	PUNCT
ajst-5473	119	8	1964	1964	NUM
ajst-5473	119	9	,	,	PUNCT
ajst-5473	119	10	pp	pp	ADJ
ajst-5473	119	11	.	.	PUNCT
ajst-5473	120	1	15–64	15–64	NUM
ajst-5473	120	2	.	.	PUNCT
ajst-5473	121	1	[	[	X
ajst-5473	121	2	2	2	NUM
ajst-5473	121	3	]	]	PUNCT
ajst-5473	121	4	w.-k	w.-k	PROPN
ajst-5473	121	5	.	.	PUNCT
ajst-5473	122	1	chen	chen	PROPN
ajst-5473	122	2	,	,	PUNCT
ajst-5473	122	3	linear	linear	ADJ
ajst-5473	122	4	networks	network	NOUN
ajst-5473	122	5	and	and	CCONJ
ajst-5473	122	6	systems	system	NOUN
ajst-5473	122	7	(	(	PUNCT
ajst-5473	122	8	book	book	NOUN
ajst-5473	122	9	style	style	NOUN
ajst-5473	122	10	)	)	PUNCT
ajst-5473	122	11	.	.	PUNCT
ajst-5473	123	1	belmont	belmont	PROPN
ajst-5473	123	2	,	,	PUNCT
ajst-5473	123	3	ca	can	AUX
ajst-5473	123	4	:	:	PUNCT
ajst-5473	123	5	wadsworth	wadsworth	NOUN
ajst-5473	123	6	,	,	PUNCT
ajst-5473	123	7	1993	1993	NUM
ajst-5473	123	8	,	,	PUNCT
ajst-5473	123	9	pp	pp	ADP
ajst-5473	123	10	.	.	PUNCT
ajst-5473	124	1	123–135	123–135	NUM
ajst-5473	124	2	.	.	PUNCT
ajst-5473	125	1	[	[	X
ajst-5473	125	2	3	3	X
ajst-5473	125	3	]	]	X
ajst-5473	125	4	h.	h.	PROPN
ajst-5473	125	5	poor	poor	PROPN
ajst-5473	125	6	,	,	PUNCT
ajst-5473	125	7	an	an	DET
ajst-5473	125	8	introduction	introduction	NOUN
ajst-5473	125	9	to	to	PART
ajst-5473	125	10	signal	signal	VERB
ajst-5473	125	11	detection	detection	NOUN
ajst-5473	125	12	and	and	CCONJ
ajst-5473	125	13	estimation	estimation	NOUN
ajst-5473	125	14	.	.	PUNCT
ajst-5473	126	1	new	new	PROPN
ajst-5473	126	2	york	york	PROPN
ajst-5473	126	3	:	:	PUNCT
ajst-5473	126	4	springer	springer	NOUN
ajst-5473	126	5	-	-	PUNCT
ajst-5473	126	6	verlag	verlag	PROPN
ajst-5473	126	7	,	,	PUNCT
ajst-5473	126	8	1985	1985	NUM
ajst-5473	126	9	,	,	PUNCT
ajst-5473	126	10	ch	ch	NOUN
ajst-5473	126	11	.	.	PROPN
ajst-5473	126	12	4	4	NUM
ajst-5473	126	13	.	.	PUNCT
ajst-5473	127	1	[	[	X
ajst-5473	127	2	4	4	NUM
ajst-5473	127	3	]	]	X
ajst-5473	127	4	wei	wei	PROPN
ajst-5473	127	5	shuang	shuang	PROPN
ajst-5473	127	6	,	,	PUNCT
ajst-5473	127	7	huang	huang	PROPN
ajst-5473	127	8	shichao	shichao	PROPN
ajst-5473	127	9	,	,	PUNCT
ajst-5473	127	10	zhang	zhang	PROPN
ajst-5473	127	11	man	man	PROPN
ajst-5473	127	12	,	,	PUNCT
ajst-5473	127	13	et	et	PROPN
ajst-5473	127	14	al	al	PROPN
ajst-5473	127	15	.	.	PROPN
ajst-5473	127	16	gnss	gnss	NOUN
ajst-5473	127	17	-	-	PUNCT
ajst-5473	127	18	based	base	VERB
ajst-5473	127	19	automatic	automatic	ADJ
ajst-5473	127	20	navigation	navigation	NOUN
ajst-5473	127	21	path	path	NOUN
ajst-5473	127	22	search	search	NOUN
ajst-5473	127	23	and	and	CCONJ
ajst-5473	127	24	steering	steering	NOUN
ajst-5473	127	25	control	control	NOUN
ajst-5473	127	26	of	of	ADP
ajst-5473	127	27	agricultural	agricultural	ADJ
ajst-5473	127	28	machinery[j	machinery[j	NOUN
ajst-5473	127	29	]	]	PUNCT
ajst-5473	127	30	.	.	PUNCT
ajst-5473	128	1	transactions	transaction	NOUN
ajst-5473	128	2	of	of	ADP
ajst-5473	128	3	the	the	DET
ajst-5473	128	4	csae	csae	NOUN
ajst-5473	128	5	,	,	PUNCT
ajst-5473	128	6	2017	2017	NUM
ajst-5473	128	7	,	,	PUNCT
ajst-5473	128	8	33(s1	33(s1	NUM
ajst-5473	128	9	):	):	PUNCT
ajst-5473	128	10	70	70	NUM
ajst-5473	128	11	-	-	SYM
ajst-5473	128	12	77	77	NUM
ajst-5473	128	13	.	.	PUNCT
ajst-5473	129	1	[	[	X
ajst-5473	129	2	5	5	NUM
ajst-5473	129	3	]	]	X
ajst-5473	129	4	li	li	PROPN
ajst-5473	129	5	yanzhou	yanzhou	PROPN
ajst-5473	129	6	,	,	PUNCT
ajst-5473	129	7	shi	shi	PROPN
ajst-5473	129	8	yifeng	yifeng	PROPN
ajst-5473	129	9	,	,	PUNCT
ajst-5473	129	10	tu	tu	PROPN
ajst-5473	129	11	wei	wei	PROPN
ajst-5473	129	12	,	,	PUNCT
ajst-5473	129	13	et	et	PROPN
ajst-5473	129	14	al	al	PROPN
ajst-5473	129	15	.	.	PROPN
ajst-5473	129	16	research	research	NOUN
ajst-5473	129	17	on	on	ADP
ajst-5473	129	18	autonomous	autonomous	ADJ
ajst-5473	129	19	navigation	navigation	NOUN
ajst-5473	129	20	between	between	ADP
ajst-5473	129	21	rows	row	NOUN
ajst-5473	129	22	of	of	ADP
ajst-5473	129	23	sugarcane	sugarcane	NOUN
ajst-5473	129	24	field	field	NOUN
ajst-5473	129	25	in	in	ADP
ajst-5473	129	26	full	full	ADJ
ajst-5473	129	27	growth	growth	NOUN
ajst-5473	129	28	cycle	cycle	NOUN
ajst-5473	129	29	based	base	VERB
ajst-5473	129	30	on	on	ADP
ajst-5473	129	31	lidar[j	lidar[j	NOUN
ajst-5473	129	32	]	]	PUNCT
ajst-5473	129	33	.	.	PUNCT
ajst-5473	130	1	journal	journal	PROPN
ajst-5473	130	2	of	of	ADP
ajst-5473	130	3	chinese	chinese	ADJ
ajst-5473	130	4	agricultural	agricultural	ADJ
ajst-5473	130	5	mechanization	mechanization	NOUN
ajst-5473	130	6	,	,	PUNCT
ajst-5473	130	7	2022	2022	NUM
ajst-5473	130	8	,	,	PUNCT
ajst-5473	130	9	43(03	43(03	NUM
ajst-5473	130	10	):	):	PUNCT
ajst-5473	130	11	153	153	NUM
ajst-5473	130	12	-	-	SYM
ajst-5473	130	13	158	158	NUM
ajst-5473	130	14	+	+	NOUN
ajst-5473	130	15	177	177	NUM
ajst-5473	130	16	.	.	PUNCT
ajst-5473	131	1	[	[	X
ajst-5473	131	2	6	6	NUM
ajst-5473	131	3	]	]	X
ajst-5473	131	4	guo	guo	PROPN
ajst-5473	131	5	xiangyu	xiangyu	PROPN
ajst-5473	131	6	,	,	PUNCT
ajst-5473	131	7	xu	xu	PROPN
ajst-5473	131	8	xinyu	xinyu	PROPN
ajst-5473	131	9	.	.	PUNCT
ajst-5473	132	1	extraction	extraction	NOUN
ajst-5473	132	2	method	method	NOUN
ajst-5473	132	3	of	of	ADP
ajst-5473	132	4	navigation	navigation	NOUN
ajst-5473	132	5	line	line	NOUN
ajst-5473	132	6	in	in	ADP
ajst-5473	132	7	rice	rice	NOUN
ajst-5473	132	8	seed	seed	NOUN
ajst-5473	132	9	production	production	NOUN
ajst-5473	132	10	based	base	VERB
ajst-5473	132	11	on	on	ADP
ajst-5473	132	12	machine	machine	NOUN
ajst-5473	132	13	vision[j	vision[j	PROPN
ajst-5473	132	14	]	]	PUNCT
ajst-5473	132	15	.	.	PUNCT
ajst-5473	133	1	journal	journal	PROPN
ajst-5473	133	2	of	of	ADP
ajst-5473	133	3	chinese	chinese	ADJ
ajst-5473	133	4	agricultural	agricultural	ADJ
ajst-5473	133	5	mechanization	mechanization	NOUN
ajst-5473	133	6	,	,	PUNCT
ajst-5473	133	7	2022	2022	NUM
ajst-5473	133	8	,	,	PUNCT
ajst-5473	133	9	43(03	43(03	NUM
ajst-5473	133	10	):	):	PUNCT
ajst-5473	133	11	153158	153158	NUM
ajst-5473	133	12	+	+	SYM
ajst-5473	133	13	177	177	NUM
ajst-5473	133	14	.	.	PUNCT
ajst-5473	134	1	[	[	X
ajst-5473	134	2	7	7	NUM
ajst-5473	134	3	]	]	SYM
ajst-5473	134	4	hu	hu	PROPN
ajst-5473	134	5	jingtao	jingtao	PROPN
ajst-5473	134	6	,	,	PUNCT
ajst-5473	134	7	gao	gao	PROPN
ajst-5473	134	8	lei	lei	PROPN
ajst-5473	134	9	,	,	PUNCT
ajst-5473	134	10	bai	bai	PROPN
ajst-5473	134	11	xiaoping	xiaoping	PROPN
ajst-5473	134	12	,	,	PUNCT
ajst-5473	134	13	et	et	PROPN
ajst-5473	134	14	al	al	PROPN
ajst-5473	134	15	.	.	PUNCT
ajst-5473	134	16	research	research	NOUN
ajst-5473	134	17	progress	progress	NOUN
ajst-5473	134	18	on	on	ADP
ajst-5473	134	19	automatic	automatic	ADJ
ajst-5473	134	20	navigation	navigation	NOUN
ajst-5473	134	21	technology	technology	NOUN
ajst-5473	134	22	of	of	ADP
ajst-5473	134	23	agricultural	agricultural	ADJ
ajst-5473	134	24	machinery[j	machinery[j	NOUN
ajst-5473	134	25	]	]	PUNCT
ajst-5473	134	26	.	.	PUNCT
ajst-5473	135	1	transactions	transaction	NOUN
ajst-5473	135	2	of	of	ADP
ajst-5473	135	3	the	the	DET
ajst-5473	135	4	csae	csae	NOUN
ajst-5473	135	5	,	,	PUNCT
ajst-5473	135	6	2015	2015	NUM
ajst-5473	135	7	,	,	PUNCT
ajst-5473	135	8	31(10	31(10	NUM
ajst-5473	135	9	):	):	PUNCT
ajst-5473	135	10	1	1	NUM
ajst-5473	135	11	-	-	SYM
ajst-5473	135	12	10	10	NUM
ajst-5473	135	13	.	.	PUNCT
ajst-5473	136	1	[	[	X
ajst-5473	136	2	8	8	NUM
ajst-5473	136	3	]	]	X
ajst-5473	136	4	zhang	zhang	PROPN
ajst-5473	136	5	man	man	PROPN
ajst-5473	136	6	,	,	PUNCT
ajst-5473	136	7	ji	ji	PROPN
ajst-5473	136	8	yuhan	yuhan	PROPN
ajst-5473	136	9	,	,	PUNCT
ajst-5473	136	10	li	li	PROPN
ajst-5473	136	11	shichao	shichao	PROPN
ajst-5473	136	12	,	,	PUNCT
ajst-5473	136	13	et	et	PROPN
ajst-5473	136	14	al	al	PROPN
ajst-5473	136	15	.	.	PUNCT
ajst-5473	136	16	research	research	NOUN
ajst-5473	136	17	progress	progress	NOUN
ajst-5473	136	18	of	of	ADP
ajst-5473	136	19	agricultural	agricultural	ADJ
ajst-5473	136	20	machinery	machinery	NOUN
ajst-5473	136	21	navigation	navigation	NOUN
ajst-5473	136	22	technology[j	technology[j	PROPN
ajst-5473	136	23	]	]	PUNCT
ajst-5473	136	24	.	.	PUNCT
ajst-5473	137	1	transactions	transaction	NOUN
ajst-5473	137	2	of	of	ADP
ajst-5473	137	3	the	the	DET
ajst-5473	137	4	chinese	chinese	ADJ
ajst-5473	137	5	society	society	NOUN
ajst-5473	137	6	for	for	ADP
ajst-5473	137	7	agricultural	agricultural	ADJ
ajst-5473	137	8	machinery	machinery	NOUN
ajst-5473	137	9	,	,	PUNCT
ajst-5473	137	10	2020	2020	NUM
ajst-5473	137	11	,	,	PUNCT
ajst-5473	137	12	51(04	51(04	NUM
ajst-5473	137	13	):	):	PUNCT
ajst-5473	137	14	1	1	NUM
ajst-5473	137	15	-	-	SYM
ajst-5473	137	16	18	18	NUM
ajst-5473	137	17	.	.	PUNCT
ajst-5473	138	1	[	[	X
ajst-5473	138	2	9	9	NUM
ajst-5473	138	3	]	]	PUNCT
ajst-5473	138	4	he	he	PROPN
ajst-5473	138	5	yong	yong	PROPN
ajst-5473	138	6	,	,	PUNCT
ajst-5473	138	7	zhang	zhang	PROPN
ajst-5473	138	8	xiya	xiya	PROPN
ajst-5473	138	9	,	,	PUNCT
ajst-5473	138	10	zhang	zhang	PROPN
ajst-5473	138	11	zeqing	zeqing	PROPN
ajst-5473	138	12	,	,	PUNCT
ajst-5473	138	13	et	et	PROPN
ajst-5473	138	14	al	al	PROPN
ajst-5473	138	15	.	.	PROPN
ajst-5473	138	16	automated	automate	VERB
ajst-5473	138	17	detection	detection	NOUN
ajst-5473	138	18	of	of	ADP
ajst-5473	138	19	boundary	boundary	ADJ
ajst-5473	138	20	line	line	NOUN
ajst-5473	138	21	in	in	ADP
ajst-5473	138	22	paddy	paddy	NOUN
ajst-5473	138	23	field	field	NOUN
ajst-5473	138	24	using	use	VERB
ajst-5473	138	25	mobilev2unet	mobilev2unet	NOUN
ajst-5473	138	26	and	and	CCONJ
ajst-5473	138	27	ransac[j	ransac[j	PROPN
ajst-5473	138	28	]	]	PUNCT
ajst-5473	138	29	.	.	PUNCT
ajst-5473	139	1	computers	computer	NOUN
ajst-5473	139	2	and	and	CCONJ
ajst-5473	139	3	electronics	electronic	NOUN
ajst-5473	139	4	in	in	ADP
ajst-5473	139	5	agriculture	agriculture	NOUN
ajst-5473	139	6	,	,	PUNCT
ajst-5473	139	7	2022	2022	NUM
ajst-5473	139	8	,	,	PUNCT
ajst-5473	139	9	194	194	NUM
ajst-5473	139	10	.	.	PUNCT
ajst-5473	140	1	[	[	X
ajst-5473	140	2	10	10	NUM
ajst-5473	140	3	]	]	X
ajst-5473	140	4	yang	yang	PROPN
ajst-5473	140	5	yang	yang	PROPN
ajst-5473	140	6	,	,	PUNCT
ajst-5473	140	7	zhang	zhang	PROPN
ajst-5473	140	8	boli	boli	PROPN
ajst-5473	140	9	,	,	PUNCT
ajst-5473	140	10	zha	zha	PROPN
ajst-5473	140	11	jiayi	jiayi	NOUN
ajst-5473	140	12	,	,	PUNCT
ajst-5473	140	13	et	et	PROPN
ajst-5473	140	14	al	al	PROPN
ajst-5473	140	15	.	.	PUNCT
ajst-5473	141	1	real	real	ADJ
ajst-5473	141	2	-	-	PUNCT
ajst-5473	141	3	time	time	NOUN
ajst-5473	141	4	extraction	extraction	NOUN
ajst-5473	141	5	of	of	ADP
ajst-5473	141	6	navigation	navigation	NOUN
ajst-5473	141	7	lines	line	NOUN
ajst-5473	141	8	between	between	ADP
ajst-5473	141	9	corn	corn	NOUN
ajst-5473	141	10	rows[j	rows[j	PROPN
ajst-5473	141	11	]	]	PUNCT
ajst-5473	141	12	.	.	PUNCT
ajst-5473	142	1	transactions	transaction	NOUN
ajst-5473	142	2	of	of	ADP
ajst-5473	142	3	the	the	DET
ajst-5473	142	4	csae	csae	NOUN
ajst-5473	142	5	,	,	PUNCT
ajst-5473	142	6	2020	2020	NUM
ajst-5473	142	7	,	,	PUNCT
ajst-5473	142	8	36(12	36(12	NUM
ajst-5473	142	9	):	):	PUNCT
ajst-5473	142	10	162	162	NUM
ajst-5473	142	11	-	-	SYM
ajst-5473	142	12	171	171	NUM
ajst-5473	142	13	.	.	PUNCT
ajst-5473	143	1	[	[	X
ajst-5473	143	2	11	11	NUM
ajst-5473	143	3	]	]	X
ajst-5473	143	4	liao	liao	PROPN
ajst-5473	143	5	juan	juan	PROPN
ajst-5473	143	6	,	,	PUNCT
ajst-5473	143	7	wang	wang	PROPN
ajst-5473	143	8	yao	yao	PROPN
ajst-5473	143	9	,	,	PUNCT
ajst-5473	143	10	yin	yin	PROPN
ajst-5473	143	11	junnan	junnan	PROPN
ajst-5473	143	12	,	,	PUNCT
ajst-5473	143	13	et	et	PROPN
ajst-5473	143	14	al	al	PROPN
ajst-5473	143	15	.	.	PROPN
ajst-5473	143	16	extraction	extraction	NOUN
ajst-5473	143	17	of	of	ADP
ajst-5473	143	18	seedling	seedling	NOUN
ajst-5473	143	19	row	row	NOUN
ajst-5473	143	20	centerline	centerline	NOUN
ajst-5473	143	21	based	base	VERB
ajst-5473	143	22	on	on	ADP
ajst-5473	143	23	subregional	subregional	ADJ
ajst-5473	143	24	feature	feature	NOUN
ajst-5473	143	25	point	point	NOUN
ajst-5473	143	26	clustering[j	clustering[j	NOUN
ajst-5473	143	27	]	]	PUNCT
ajst-5473	143	28	.	.	PUNCT
ajst-5473	144	1	transactions	transaction	NOUN
ajst-5473	144	2	of	of	ADP
ajst-5473	144	3	the	the	DET
ajst-5473	144	4	chinese	chinese	ADJ
ajst-5473	144	5	society	society	NOUN
ajst-5473	144	6	for	for	ADP
ajst-5473	144	7	agricultural	agricultural	ADJ
ajst-5473	144	8	machinery	machinery	NOUN
ajst-5473	144	9	,	,	PUNCT
ajst-5473	144	10	2019	2019	NUM
ajst-5473	144	11	,	,	PUNCT
ajst-5473	144	12	50(11	50(11	NUM
ajst-5473	144	13	):	):	PUNCT
ajst-5473	144	14	34	34	NUM
ajst-5473	144	15	-	-	SYM
ajst-5473	144	16	41	41	NUM
ajst-5473	144	17	.	.	PUNCT
ajst-5473	145	1	[	[	X
ajst-5473	145	2	12	12	NUM
ajst-5473	145	3	]	]	X
ajst-5473	145	4	qian	qian	PROPN
ajst-5473	145	5	jinlei	jinlei	PROPN
ajst-5473	145	6	.	.	PUNCT
ajst-5473	146	1	research	research	NOUN
ajst-5473	146	2	on	on	ADP
ajst-5473	146	3	image	image	NOUN
ajst-5473	146	4	segmentation	segmentation	NOUN
ajst-5473	146	5	method	method	NOUN
ajst-5473	146	6	of	of	ADP
ajst-5473	146	7	green	green	ADJ
ajst-5473	146	8	plants	plant	NOUN
ajst-5473	146	9	in	in	ADP
ajst-5473	146	10	field	field	NOUN
ajst-5473	146	11	under	under	ADP
ajst-5473	146	12	natural	natural	ADJ
ajst-5473	146	13	illumination[d	illumination[d	NOUN
ajst-5473	146	14	]	]	PUNCT
ajst-5473	146	15	.	.	PUNCT
ajst-5473	147	1	huhehaote	huhehaote	NOUN
ajst-5473	147	2	:	:	PUNCT
ajst-5473	147	3	inner	inner	PROPN
ajst-5473	147	4	mongolia	mongolia	PROPN
ajst-5473	147	5	university	university	PROPN
ajst-5473	147	6	,	,	PUNCT
ajst-5473	147	7	2018	2018	NUM
ajst-5473	147	8	.	.	PUNCT
ajst-5473	148	1	[	[	X
ajst-5473	148	2	13	13	NUM
ajst-5473	148	3	]	]	PUNCT
ajst-5473	148	4	gong	gong	PROPN
ajst-5473	148	5	jinliang	jinliang	PROPN
ajst-5473	148	6	,	,	PUNCT
ajst-5473	148	7	wang	wang	PROPN
ajst-5473	148	8	xiangxiang	xiangxiang	PROPN
ajst-5473	148	9	,	,	PUNCT
ajst-5473	148	10	zhang	zhang	PROPN
ajst-5473	148	11	yanwen	yanwen	PROPN
ajst-5473	148	12	,	,	PUNCT
ajst-5473	148	13	et	et	PROPN
ajst-5473	148	14	al	al	PROPN
ajst-5473	148	15	.	.	PROPN
ajst-5473	148	16	extraction	extraction	NOUN
ajst-5473	148	17	method	method	NOUN
ajst-5473	148	18	of	of	ADP
ajst-5473	148	19	maize	maize	NOUN
ajst-5473	148	20	rhizome	rhizome	NOUN
ajst-5473	148	21	navigation	navigation	NOUN
ajst-5473	148	22	line	line	NOUN
ajst-5473	148	23	based	base	VERB
ajst-5473	148	24	on	on	ADP
ajst-5473	148	25	edge	edge	NOUN
ajst-5473	148	26	detection	detection	NOUN
ajst-5473	148	27	and	and	CCONJ
ajst-5473	148	28	area	area	NOUN
ajst-5473	148	29	localization[j	localization[j	PROPN
ajst-5473	148	30	]	]	PUNCT
ajst-5473	148	31	.	.	PUNCT
ajst-5473	149	1	transactions	transaction	NOUN
ajst-5473	149	2	of	of	ADP
ajst-5473	149	3	the	the	DET
ajst-5473	149	4	chinese	chinese	ADJ
ajst-5473	149	5	society	society	NOUN
ajst-5473	149	6	for	for	ADP
ajst-5473	149	7	agricultural	agricultural	ADJ
ajst-5473	149	8	machinery	machinery	NOUN
ajst-5473	149	9	,	,	PUNCT
ajst-5473	149	10	2020	2020	NUM
ajst-5473	149	11	,	,	PUNCT
ajst-5473	149	12	51(10	51(10	NUM
ajst-5473	149	13	):	):	PUNCT
ajst-5473	149	14	2633	2633	NUM
ajst-5473	149	15	.	.	PUNCT
ajst-5473	150	1	[	[	X
ajst-5473	150	2	14	14	NUM
ajst-5473	150	3	]	]	X
ajst-5473	150	4	li	li	PROPN
ajst-5473	150	5	xiuzhi	xiuzhi	PROPN
ajst-5473	150	6	,	,	PUNCT
ajst-5473	150	7	peng	peng	PROPN
ajst-5473	150	8	xiaobin	xiaobin	PROPN
ajst-5473	150	9	,	,	PUNCT
ajst-5473	150	10	fang	fang	PROPN
ajst-5473	150	11	huimin	huimin	PROPN
ajst-5473	150	12	,	,	PUNCT
ajst-5473	150	13	et	et	PROPN
ajst-5473	150	14	al	al	PROPN
ajst-5473	150	15	.	.	PUNCT
ajst-5473	150	16	navigation	navigation	NOUN
ajst-5473	150	17	path	path	PROPN
ajst-5473	150	18	detection	detection	NOUN
ajst-5473	150	19	of	of	ADP
ajst-5473	150	20	plant	plant	NOUN
ajst-5473	150	21	protection	protection	NOUN
ajst-5473	150	22	robot	robot	NOUN
ajst-5473	150	23	based	base	VERB
ajst-5473	150	24	on	on	ADP
ajst-5473	150	25	ransac	ransac	NOUN
ajst-5473	150	26	algorithm[j	algorithm[j	PROPN
ajst-5473	150	27	]	]	PUNCT
ajst-5473	150	28	.	.	PUNCT
ajst-5473	151	1	transactions	transaction	NOUN
ajst-5473	151	2	of	of	ADP
ajst-5473	151	3	the	the	DET
ajst-5473	151	4	chinese	chinese	ADJ
ajst-5473	151	5	society	society	NOUN
ajst-5473	151	6	for	for	ADP
ajst-5473	151	7	agricultural	agricultural	ADJ
ajst-5473	151	8	machinery	machinery	NOUN
ajst-5473	151	9	,	,	PUNCT
ajst-5473	151	10	2020	2020	NUM
ajst-5473	151	11	,	,	PUNCT
ajst-5473	151	12	51(09	51(09	NUM
ajst-5473	151	13	):	):	PUNCT
ajst-5473	151	14	40	40	NUM
ajst-5473	151	15	-	-	SYM
ajst-5473	151	16	46	46	NUM
ajst-5473	151	17	.	.	PUNCT
ajst-5473	152	1	[	[	X
ajst-5473	152	2	15	15	NUM
ajst-5473	152	3	]	]	X
ajst-5473	152	4	wang	wang	PROPN
ajst-5473	152	5	shanshan	shanshan	PROPN
ajst-5473	152	6	,	,	PUNCT
ajst-5473	152	7	yu	yu	PROPN
ajst-5473	152	8	shanshan	shanshan	PROPN
ajst-5473	152	9	,	,	PUNCT
ajst-5473	152	10	zhang	zhang	PROPN
ajst-5473	152	11	wenyi	wenyi	PROPN
ajst-5473	152	12	,	,	PUNCT
ajst-5473	152	13	et	et	PROPN
ajst-5473	152	14	al	al	PROPN
ajst-5473	152	15	.	.	PROPN
ajst-5473	152	16	rice	rice	PROPN
ajst-5473	152	17	seedling	seedling	NOUN
ajst-5473	152	18	row	row	NOUN
ajst-5473	152	19	detection	detection	NOUN
ajst-5473	152	20	based	base	VERB
ajst-5473	152	21	on	on	ADP
ajst-5473	152	22	feature	feature	NOUN
ajst-5473	152	23	point	point	NOUN
ajst-5473	152	24	neighborhood	neighborhood	NOUN
ajst-5473	152	25	hough	hough	PROPN
ajst-5473	152	26	transform[j	transform[j	PROPN
ajst-5473	152	27	]	]	PUNCT
ajst-5473	152	28	.	.	PUNCT
ajst-5473	153	1	transactions	transaction	NOUN
ajst-5473	153	2	of	of	ADP
ajst-5473	153	3	the	the	DET
ajst-5473	153	4	chinese	chinese	ADJ
ajst-5473	153	5	society	society	NOUN
ajst-5473	153	6	for	for	ADP
ajst-5473	153	7	agricultural	agricultural	ADJ
ajst-5473	153	8	machinery	machinery	NOUN
ajst-5473	153	9	,	,	PUNCT
ajst-5473	153	10	2020	2020	NUM
ajst-5473	153	11	,	,	PUNCT
ajst-5473	153	12	51(10	51(10	NUM
ajst-5473	153	13	):	):	PUNCT
ajst-5473	153	14	18	18	NUM
ajst-5473	153	15	-	-	SYM
ajst-5473	153	16	25	25	NUM
ajst-5473	153	17	.	.	PUNCT
ajst-5473	154	1	[	[	X
ajst-5473	154	2	16	16	NUM
ajst-5473	154	3	]	]	X
ajst-5473	154	4	lu	lu	PROPN
ajst-5473	154	5	zefeng	zefeng	PROPN
ajst-5473	154	6	,	,	PUNCT
ajst-5473	154	7	xu	xu	PROPN
ajst-5473	154	8	ying	ying	PROPN
ajst-5473	154	9	,	,	PUNCT
ajst-5473	154	10	shan	shan	PROPN
ajst-5473	154	11	xin	xin	PROPN
ajst-5473	154	12	,	,	PUNCT
ajst-5473	154	13	et	et	PROPN
ajst-5473	154	14	al	al	PROPN
ajst-5473	154	15	.	.	PUNCT
ajst-5473	155	1	a	a	DET
ajst-5473	155	2	lane	lane	NOUN
ajst-5473	155	3	detection	detection	NOUN
ajst-5473	155	4	method	method	NOUN
ajst-5473	155	5	based	base	VERB
ajst-5473	155	6	on	on	ADP
ajst-5473	155	7	a	a	DET
ajst-5473	155	8	ridge	ridge	NOUN
ajst-5473	155	9	detector	detector	NOUN
ajst-5473	155	10	and	and	CCONJ
ajst-5473	155	11	regional	regional	ADJ
ajst-5473	155	12	g	g	NOUN
ajst-5473	155	13	-	-	PUNCT
ajst-5473	155	14	ransac[j	ransac[j	PROPN
ajst-5473	155	15	]	]	PUNCT
ajst-5473	155	16	.	.	PUNCT
ajst-5473	156	1	sensors	sensor	NOUN
ajst-5473	156	2	,	,	PUNCT
ajst-5473	156	3	2019	2019	NUM
ajst-5473	156	4	,	,	PUNCT
ajst-5473	156	5	19(18	19(18	NUM
ajst-5473	156	6	)	)	PUNCT
ajst-5473	156	7	.	.	PUNCT
ajst-5473	157	1	[	[	X
ajst-5473	157	2	17	17	NUM
ajst-5473	157	3	]	]	X
ajst-5473	157	4	si	si	PROPN
ajst-5473	157	5	yongsheng	yongsheng	PROPN
ajst-5473	157	6	,	,	PUNCT
ajst-5473	157	7	jiang	jiang	PROPN
ajst-5473	157	8	guoquan	guoquan	PROPN
ajst-5473	157	9	,	,	PUNCT
ajst-5473	157	10	liu	liu	PROPN
ajst-5473	157	11	gang	gang	PROPN
ajst-5473	157	12	,	,	PUNCT
ajst-5473	157	13	et	et	PROPN
ajst-5473	157	14	al	al	PROPN
ajst-5473	157	15	.	.	PROPN
ajst-5473	158	1	early	early	ADJ
ajst-5473	158	2	crop	crop	NOUN
ajst-5473	158	3	row	row	NOUN
ajst-5473	158	4	centerline	centerline	NOUN
ajst-5473	158	5	detection	detection	NOUN
ajst-5473	158	6	method	method	NOUN
ajst-5473	158	7	based	base	VERB
ajst-5473	158	8	on	on	ADP
ajst-5473	158	9	least	least	ADJ
ajst-5473	158	10	squares	square	NOUN
ajst-5473	158	11	method[j	method[j	PROPN
ajst-5473	158	12	]	]	PUNCT
ajst-5473	158	13	.	.	PUNCT
ajst-5473	159	1	transactions	transaction	NOUN
ajst-5473	159	2	of	of	ADP
ajst-5473	159	3	the	the	DET
ajst-5473	159	4	chinese	chinese	ADJ
ajst-5473	159	5	society	society	NOUN
ajst-5473	159	6	for	for	ADP
ajst-5473	159	7	agricultural	agricultural	ADJ
ajst-5473	159	8	machinery	machinery	NOUN
ajst-5473	159	9	,	,	PUNCT
ajst-5473	159	10	2010	2010	NUM
ajst-5473	159	11	,	,	PUNCT
ajst-5473	159	12	41(07	41(07	NUM
ajst-5473	159	13	):	):	PUNCT
ajst-5473	159	14	163	163	NUM
ajst-5473	159	15	-	-	SYM
ajst-5473	159	16	167	167	NUM
ajst-5473	159	17	+	+	NOUN
ajst-5473	159	18	185	185	NUM
ajst-5473	159	19	.	.	PUNCT