id	sid	tid	token	lemma	pos
easat-11220	1	1	edelweiss	edelweiss	PROPN
easat-11220	1	2	applied	apply	VERB
easat-11220	1	3	science	science	NOUN
easat-11220	1	4	and	and	CCONJ
easat-11220	1	5	technology	technology	NOUN
easat-11220	1	6	issn	issn	PROPN
easat-11220	1	7	:	:	PUNCT
easat-11220	1	8	2576	2576	NUM
easat-11220	1	9	-	-	SYM
easat-11220	1	10	8484	8484	NUM
easat-11220	1	11	vol	vol	NOUN
easat-11220	1	12	.	.	PROPN
easat-11220	2	1	9	9	NUM
easat-11220	2	2	,	,	PUNCT
easat-11220	2	3	no	no	INTJ
easat-11220	2	4	.	.	NOUN
easat-11220	2	5	11	11	NUM
easat-11220	2	6	,	,	PUNCT
easat-11220	2	7	1389	1389	NUM
easat-11220	2	8	-	-	SYM
easat-11220	2	9	1401	1401	NUM
easat-11220	2	10	2025	2025	NUM
easat-11220	2	11	publisher	publisher	NOUN
easat-11220	2	12	:	:	PUNCT
easat-11220	2	13	learning	learn	VERB
easat-11220	2	14	gate	gate	NOUN
easat-11220	2	15	doi	doi	PROPN
easat-11220	2	16	:	:	PUNCT
easat-11220	2	17	10.55214/2576	10.55214/2576	NUM
easat-11220	2	18	-	-	SYM
easat-11220	2	19	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	2	20	©	©	PROPN
easat-11220	2	21	2025	2025	NUM
easat-11220	2	22	by	by	ADP
easat-11220	2	23	the	the	DET
easat-11220	2	24	authors	author	NOUN
easat-11220	2	25	;	;	PUNCT
easat-11220	2	26	licensee	licensee	PROPN
easat-11220	2	27	learning	learning	NOUN
easat-11220	2	28	gate	gate	NOUN
easat-11220	3	1	©	©	PROPN
easat-11220	3	2	2025	2025	NUM
easat-11220	3	3	by	by	ADP
easat-11220	3	4	the	the	DET
easat-11220	3	5	authors	author	NOUN
easat-11220	3	6	;	;	PUNCT
easat-11220	3	7	licensee	licensee	PROPN
easat-11220	3	8	learning	learning	NOUN
easat-11220	3	9	gate	gate	NOUN
easat-11220	3	10	history	history	NOUN
easat-11220	3	11	:	:	PUNCT
easat-11220	3	12	received	receive	VERB
easat-11220	3	13	:	:	PUNCT
easat-11220	3	14	24	24	NUM
easat-11220	3	15	september	september	PROPN
easat-11220	3	16	2025	2025	NUM
easat-11220	3	17	;	;	PUNCT
easat-11220	3	18	revised	revise	VERB
easat-11220	3	19	:	:	PUNCT
easat-11220	3	20	6	6	NUM
easat-11220	3	21	november	november	NOUN
easat-11220	3	22	2025	2025	NUM
easat-11220	3	23	;	;	PUNCT
easat-11220	3	24	accepted	accept	VERB
easat-11220	3	25	:	:	PUNCT
easat-11220	3	26	10	10	NUM
easat-11220	3	27	november	november	NOUN
easat-11220	3	28	2025	2025	NUM
easat-11220	3	29	;	;	PUNCT
easat-11220	3	30	published	publish	VERB
easat-11220	3	31	:	:	PUNCT
easat-11220	4	1	28	28	NUM
easat-11220	4	2	november	november	PROPN
easat-11220	4	3	2025	2025	NUM
easat-11220	4	4	*	*	PUNCT
easat-11220	4	5	correspondence	correspondence	NOUN
easat-11220	4	6	:	:	PUNCT
easat-11220	4	7	nurahman@unda.ac.id	nurahman@unda.ac.id	ADJ
easat-11220	4	8	palm	palm	NOUN
easat-11220	4	9	fruit	fruit	NOUN
easat-11220	4	10	ripeness	ripeness	NOUN
easat-11220	4	11	classification	classification	NOUN
easat-11220	4	12	using	use	VERB
easat-11220	4	13	borneonet	borneonet	NOUN
easat-11220	4	14	for	for	ADP
easat-11220	4	15	improved	improved	ADJ
easat-11220	4	16	accuracy	accuracy	NOUN
easat-11220	4	17	in	in	ADP
easat-11220	4	18	precision	precision	NOUN
easat-11220	4	19	agriculture	agriculture	NOUN
easat-11220	4	20	nurahman1	nurahman1	PROPN
easat-11220	4	21	*	*	PUNCT
easat-11220	4	22	,	,	PUNCT
easat-11220	4	23	minarni2	minarni2	PROPN
easat-11220	4	24	,	,	PUNCT
easat-11220	4	25	abdul	abdul	PROPN
easat-11220	4	26	aziz3	aziz3	PROPN
easat-11220	4	27	,	,	PUNCT
easat-11220	4	28	lili	lili	NOUN
easat-11220	4	29	winarti4	winarti4	PROPN
easat-11220	4	30	,	,	PUNCT
easat-11220	4	31	eddy	eddy	PROPN
easat-11220	4	32	mashami5	mashami5	PROPN
easat-11220	4	33	,	,	PUNCT
easat-11220	4	34	dwi	dwi	PROPN
easat-11220	4	35	wahyu	wahyu	PROPN
easat-11220	4	36	prabowo6	prabowo6	PROPN
easat-11220	4	37	1,2,3,6department	1,2,3,6department	NUM
easat-11220	4	38	of	of	ADP
easat-11220	4	39	information	information	NOUN
easat-11220	4	40	system	system	NOUN
easat-11220	4	41	,	,	PUNCT
easat-11220	4	42	faculty	faculty	NOUN
easat-11220	4	43	of	of	ADP
easat-11220	4	44	agriculture	agriculture	NOUN
easat-11220	4	45	,	,	PUNCT
easat-11220	4	46	universitas	universita	NOUN
easat-11220	4	47	darwan	darwan	PROPN
easat-11220	4	48	ali	ali	PROPN
easat-11220	4	49	,	,	PUNCT
easat-11220	4	50	sampit	sampit	PROPN
easat-11220	4	51	,	,	PUNCT
easat-11220	4	52	indonesia	indonesia	PROPN
easat-11220	4	53	;	;	PUNCT
easat-11220	4	54	nurahman@unda.ac.id	nurahman@unda.ac.id	NOUN
easat-11220	4	55	(	(	PUNCT
easat-11220	4	56	n.	n.	NOUN
easat-11220	4	57	)	)	PUNCT
easat-11220	4	58	.	.	PUNCT
easat-11220	5	1	4department	4department	NUM
easat-11220	5	2	of	of	ADP
easat-11220	5	3	agribusiness	agribusiness	NOUN
easat-11220	5	4	,	,	PUNCT
easat-11220	5	5	faculty	faculty	NOUN
easat-11220	5	6	of	of	ADP
easat-11220	5	7	agriculture	agriculture	NOUN
easat-11220	5	8	,	,	PUNCT
easat-11220	5	9	universitas	universita	NOUN
easat-11220	5	10	darwan	darwan	PROPN
easat-11220	5	11	ali	ali	PROPN
easat-11220	5	12	,	,	PUNCT
easat-11220	5	13	sampit	sampit	PROPN
easat-11220	5	14	,	,	PUNCT
easat-11220	5	15	indonesia	indonesia	PROPN
easat-11220	5	16	;	;	PUNCT
easat-11220	5	17	liliwinarti14@gmail.com	liliwinarti14@gmail.com	PROPN
easat-11220	5	18	(	(	PUNCT
easat-11220	5	19	l.w	l.w	PROPN
easat-11220	5	20	.	.	PROPN
easat-11220	5	21	)	)	PUNCT
easat-11220	5	22	.	.	PUNCT
easat-11220	6	1	5people	5people	NUM
easat-11220	6	2	's	's	PART
easat-11220	6	3	representative	representative	ADJ
easat-11220	6	4	council	council	NOUN
easat-11220	6	5	of	of	ADP
easat-11220	6	6	east	east	PROPN
easat-11220	6	7	kotawaringin	kotawaringin	PROPN
easat-11220	6	8	regency	regency	PROPN
easat-11220	6	9	,	,	PUNCT
easat-11220	6	10	indonesia	indonesia	PROPN
easat-11220	6	11	;	;	PUNCT
easat-11220	6	12	eddymashamy@gmail.com	eddymashamy@gmail.com	X
easat-11220	6	13	(	(	PUNCT
easat-11220	6	14	e.m	e.m	PROPN
easat-11220	6	15	.	.	PROPN
easat-11220	6	16	)	)	PUNCT
easat-11220	6	17	.	.	PUNCT
easat-11220	7	1	6department	6department	NUM
easat-11220	7	2	of	of	ADP
easat-11220	7	3	information	information	NOUN
easat-11220	7	4	system	system	NOUN
easat-11220	7	5	,	,	PUNCT
easat-11220	7	6	faculty	faculty	NOUN
easat-11220	7	7	of	of	ADP
easat-11220	7	8	computer	computer	NOUN
easat-11220	7	9	science	science	NOUN
easat-11220	7	10	,	,	PUNCT
easat-11220	7	11	universitas	universita	NOUN
easat-11220	7	12	darwan	darwan	PROPN
easat-11220	7	13	ali	ali	PROPN
easat-11220	7	14	,	,	PUNCT
easat-11220	7	15	sampit	sampit	PROPN
easat-11220	7	16	,	,	PUNCT
easat-11220	7	17	indonesia	indonesia	PROPN
easat-11220	7	18	.	.	PUNCT
easat-11220	8	1	abstract	abstract	PROPN
easat-11220	8	2	:	:	PUNCT
easat-11220	8	3	this	this	DET
easat-11220	8	4	study	study	NOUN
easat-11220	8	5	aims	aim	VERB
easat-11220	8	6	to	to	PART
easat-11220	8	7	classify	classify	VERB
easat-11220	8	8	palm	palm	NOUN
easat-11220	8	9	fruit	fruit	NOUN
easat-11220	8	10	ripeness	ripeness	NOUN
easat-11220	8	11	using	use	VERB
easat-11220	8	12	the	the	DET
easat-11220	8	13	proposed	propose	VERB
easat-11220	8	14	borneo	borneo	PROPN
easat-11220	8	15	neural	neural	PROPN
easat-11220	8	16	network	network	PROPN
easat-11220	8	17	(	(	PUNCT
easat-11220	8	18	borneonet	borneonet	NOUN
easat-11220	8	19	)	)	PUNCT
easat-11220	8	20	to	to	PART
easat-11220	8	21	improve	improve	VERB
easat-11220	8	22	accuracy	accuracy	NOUN
easat-11220	8	23	over	over	ADP
easat-11220	8	24	traditional	traditional	ADJ
easat-11220	8	25	models	model	NOUN
easat-11220	8	26	and	and	CCONJ
easat-11220	8	27	provide	provide	VERB
easat-11220	8	28	a	a	DET
easat-11220	8	29	practical	practical	ADJ
easat-11220	8	30	solution	solution	NOUN
easat-11220	8	31	for	for	ADP
easat-11220	8	32	precision	precision	NOUN
easat-11220	8	33	agriculture	agriculture	NOUN
easat-11220	8	34	.	.	PUNCT
easat-11220	9	1	a	a	DET
easat-11220	9	2	novel	novel	ADJ
easat-11220	9	3	dataset	dataset	NOUN
easat-11220	9	4	of	of	ADP
easat-11220	9	5	rgb	rgb	PROPN
easat-11220	9	6	images	image	NOUN
easat-11220	9	7	was	be	AUX
easat-11220	9	8	collected	collect	VERB
easat-11220	9	9	and	and	CCONJ
easat-11220	9	10	categorized	categorize	VERB
easat-11220	9	11	into	into	ADP
easat-11220	9	12	three	three	NUM
easat-11220	9	13	ripeness	ripeness	NOUN
easat-11220	9	14	stages	stage	NOUN
easat-11220	9	15	:	:	PUNCT
easat-11220	10	1	ripe	ripe	ADJ
easat-11220	10	2	,	,	PUNCT
easat-11220	10	3	half	half	NOUN
easat-11220	10	4	ripe	ripe	ADJ
easat-11220	10	5	,	,	PUNCT
easat-11220	10	6	and	and	CCONJ
easat-11220	10	7	unripe	unripe	NOUN
easat-11220	10	8	,	,	PUNCT
easat-11220	10	9	then	then	ADV
easat-11220	10	10	divided	divide	VERB
easat-11220	10	11	into	into	ADP
easat-11220	10	12	50	50	NUM
easat-11220	10	13	percent	percent	NOUN
easat-11220	10	14	training	training	NOUN
easat-11220	10	15	,	,	PUNCT
easat-11220	10	16	25	25	NUM
easat-11220	10	17	percent	percent	NOUN
easat-11220	10	18	validation	validation	NOUN
easat-11220	10	19	,	,	PUNCT
easat-11220	10	20	and	and	CCONJ
easat-11220	10	21	25	25	NUM
easat-11220	10	22	percent	percent	NOUN
easat-11220	10	23	testing	testing	NOUN
easat-11220	10	24	subsets	subset	NOUN
easat-11220	10	25	.	.	PUNCT
easat-11220	11	1	the	the	DET
easat-11220	11	2	borneonet	borneonet	NOUN
easat-11220	11	3	architecture	architecture	NOUN
easat-11220	11	4	consists	consist	VERB
easat-11220	11	5	of	of	ADP
easat-11220	11	6	three	three	NUM
easat-11220	11	7	convolutional	convolutional	ADJ
easat-11220	11	8	layers	layer	NOUN
easat-11220	11	9	with	with	ADP
easat-11220	11	10	batch	batch	NOUN
easat-11220	11	11	normalization	normalization	NOUN
easat-11220	11	12	and	and	CCONJ
easat-11220	11	13	max	max	PROPN
easat-11220	11	14	-	-	PUNCT
easat-11220	11	15	pooling	pooling	NOUN
easat-11220	11	16	,	,	PUNCT
easat-11220	11	17	followed	follow	VERB
easat-11220	11	18	by	by	ADP
easat-11220	11	19	two	two	NUM
easat-11220	11	20	fully	fully	ADV
easat-11220	11	21	connected	connected	ADJ
easat-11220	11	22	layers	layer	NOUN
easat-11220	11	23	.	.	PUNCT
easat-11220	12	1	its	its	PRON
easat-11220	12	2	performance	performance	NOUN
easat-11220	12	3	was	be	AUX
easat-11220	12	4	compared	compare	VERB
easat-11220	12	5	with	with	ADP
easat-11220	12	6	knn	knn	PROPN
easat-11220	12	7	,	,	PUNCT
easat-11220	12	8	naive	naive	ADJ
easat-11220	12	9	bayes	bayes	NOUN
easat-11220	12	10	,	,	PUNCT
easat-11220	12	11	svm	svm	ADJ
easat-11220	12	12	,	,	PUNCT
easat-11220	12	13	random	random	ADJ
easat-11220	12	14	forest	forest	NOUN
easat-11220	12	15	,	,	PUNCT
easat-11220	12	16	and	and	CCONJ
easat-11220	12	17	xgboost	xgboost	ADV
easat-11220	12	18	using	use	VERB
easat-11220	12	19	accuracy	accuracy	NOUN
easat-11220	12	20	,	,	PUNCT
easat-11220	12	21	precision	precision	NOUN
easat-11220	12	22	,	,	PUNCT
easat-11220	12	23	recall	recall	NOUN
easat-11220	12	24	,	,	PUNCT
easat-11220	12	25	f1	f1	NOUN
easat-11220	12	26	-	-	PUNCT
easat-11220	12	27	score	score	NOUN
easat-11220	12	28	,	,	PUNCT
easat-11220	12	29	and	and	CCONJ
easat-11220	12	30	kappa	kappa	ADJ
easat-11220	12	31	metrics	metric	NOUN
easat-11220	12	32	,	,	PUNCT
easat-11220	12	33	while	while	SCONJ
easat-11220	12	34	the	the	DET
easat-11220	12	35	mcnemar	mcnemar	NOUN
easat-11220	12	36	test	test	NOUN
easat-11220	12	37	was	be	AUX
easat-11220	12	38	used	use	VERB
easat-11220	12	39	to	to	PART
easat-11220	12	40	confirm	confirm	VERB
easat-11220	12	41	statistical	statistical	ADJ
easat-11220	12	42	significance	significance	NOUN
easat-11220	12	43	.	.	PUNCT
easat-11220	13	1	the	the	DET
easat-11220	13	2	findings	finding	NOUN
easat-11220	13	3	showed	show	VERB
easat-11220	13	4	that	that	SCONJ
easat-11220	13	5	borneonet	borneonet	NOUN
easat-11220	13	6	outperformed	outperform	VERB
easat-11220	13	7	all	all	DET
easat-11220	13	8	traditional	traditional	ADJ
easat-11220	13	9	models	model	NOUN
easat-11220	13	10	with	with	ADP
easat-11220	13	11	an	an	DET
easat-11220	13	12	accuracy	accuracy	NOUN
easat-11220	13	13	of	of	ADP
easat-11220	13	14	0.8125	0.8125	NUM
easat-11220	13	15	,	,	PUNCT
easat-11220	13	16	a	a	DET
easat-11220	13	17	precision	precision	NOUN
easat-11220	13	18	of	of	ADP
easat-11220	13	19	0.8182	0.8182	NUM
easat-11220	13	20	,	,	PUNCT
easat-11220	13	21	a	a	DET
easat-11220	13	22	recall	recall	NOUN
easat-11220	13	23	of	of	ADP
easat-11220	13	24	0.7899	0.7899	NUM
easat-11220	13	25	,	,	PUNCT
easat-11220	13	26	an	an	DET
easat-11220	13	27	f1	f1	NOUN
easat-11220	13	28	-	-	PUNCT
easat-11220	13	29	score	score	NOUN
easat-11220	13	30	of	of	ADP
easat-11220	13	31	0.7848	0.7848	NUM
easat-11220	13	32	,	,	PUNCT
easat-11220	13	33	and	and	CCONJ
easat-11220	13	34	a	a	DET
easat-11220	13	35	kappa	kappa	ADJ
easat-11220	13	36	value	value	NOUN
easat-11220	13	37	of	of	ADP
easat-11220	13	38	0.7134	0.7134	NUM
easat-11220	13	39	,	,	PUNCT
easat-11220	13	40	indicating	indicate	VERB
easat-11220	13	41	strong	strong	ADJ
easat-11220	13	42	agreement	agreement	NOUN
easat-11220	13	43	with	with	ADP
easat-11220	13	44	the	the	DET
easat-11220	13	45	true	true	ADJ
easat-11220	13	46	labels	label	NOUN
easat-11220	13	47	.	.	PUNCT
easat-11220	14	1	overall	overall	ADV
easat-11220	14	2	,	,	PUNCT
easat-11220	14	3	the	the	DET
easat-11220	14	4	results	result	NOUN
easat-11220	14	5	suggest	suggest	VERB
easat-11220	14	6	that	that	SCONJ
easat-11220	14	7	borneonet	borneonet	NOUN
easat-11220	14	8	is	be	AUX
easat-11220	14	9	a	a	DET
easat-11220	14	10	reliable	reliable	ADJ
easat-11220	14	11	and	and	CCONJ
easat-11220	14	12	efficient	efficient	ADJ
easat-11220	14	13	model	model	NOUN
easat-11220	14	14	with	with	ADP
easat-11220	14	15	lower	low	ADJ
easat-11220	14	16	computational	computational	ADJ
easat-11220	14	17	complexity	complexity	NOUN
easat-11220	14	18	than	than	ADP
easat-11220	14	19	traditional	traditional	ADJ
easat-11220	14	20	and	and	CCONJ
easat-11220	14	21	deep	deep	ADJ
easat-11220	14	22	cnn	cnn	PROPN
easat-11220	14	23	architectures	architecture	NOUN
easat-11220	14	24	.	.	PUNCT
easat-11220	15	1	the	the	DET
easat-11220	15	2	practical	practical	ADJ
easat-11220	15	3	implications	implication	NOUN
easat-11220	15	4	include	include	VERB
easat-11220	15	5	its	its	PRON
easat-11220	15	6	potential	potential	ADJ
easat-11220	15	7	use	use	NOUN
easat-11220	15	8	as	as	ADP
easat-11220	15	9	a	a	DET
easat-11220	15	10	lightweight	lightweight	ADJ
easat-11220	15	11	real	real	ADJ
easat-11220	15	12	-	-	PUNCT
easat-11220	15	13	time	time	NOUN
easat-11220	15	14	tool	tool	NOUN
easat-11220	15	15	for	for	ADP
easat-11220	15	16	farmers	farmer	NOUN
easat-11220	15	17	,	,	PUNCT
easat-11220	15	18	with	with	ADP
easat-11220	15	19	future	future	ADJ
easat-11220	15	20	development	development	NOUN
easat-11220	15	21	focusing	focus	VERB
easat-11220	15	22	on	on	ADP
easat-11220	15	23	dataset	dataset	ADJ
easat-11220	15	24	expansion	expansion	NOUN
easat-11220	15	25	and	and	CCONJ
easat-11220	15	26	integration	integration	NOUN
easat-11220	15	27	into	into	ADP
easat-11220	15	28	mobile	mobile	ADJ
easat-11220	15	29	applications	application	NOUN
easat-11220	15	30	to	to	PART
easat-11220	15	31	support	support	VERB
easat-11220	15	32	precision	precision	NOUN
easat-11220	15	33	agriculture	agriculture	NOUN
easat-11220	15	34	.	.	PUNCT
easat-11220	16	1	keywords	keyword	NOUN
easat-11220	16	2	:	:	PUNCT
easat-11220	16	3	borneonet	borneonet	NOUN
easat-11220	16	4	,	,	PUNCT
easat-11220	16	5	image	image	NOUN
easat-11220	16	6	classification	classification	NOUN
easat-11220	16	7	,	,	PUNCT
easat-11220	16	8	palm	palm	NOUN
easat-11220	16	9	fruit	fruit	NOUN
easat-11220	16	10	ripeness	ripeness	NOUN
easat-11220	16	11	,	,	PUNCT
easat-11220	16	12	precision	precision	NOUN
easat-11220	16	13	agriculture	agriculture	NOUN
easat-11220	16	14	.	.	PUNCT
easat-11220	17	1	1	1	X
easat-11220	17	2	.	.	X
easat-11220	17	3	introduction	introduction	NOUN
easat-11220	17	4	palm	palm	NOUN
easat-11220	17	5	oil	oil	NOUN
easat-11220	17	6	is	be	AUX
easat-11220	17	7	a	a	DET
easat-11220	17	8	leading	lead	VERB
easat-11220	17	9	agricultural	agricultural	ADJ
easat-11220	17	10	product	product	NOUN
easat-11220	17	11	with	with	ADP
easat-11220	17	12	significant	significant	ADJ
easat-11220	17	13	contributions	contribution	NOUN
easat-11220	17	14	to	to	ADP
easat-11220	17	15	both	both	CCONJ
easat-11220	17	16	the	the	DET
easat-11220	17	17	national	national	ADJ
easat-11220	17	18	economy	economy	NOUN
easat-11220	17	19	and	and	CCONJ
easat-11220	17	20	rural	rural	ADJ
easat-11220	17	21	livelihoods	livelihood	NOUN
easat-11220	17	22	[	[	X
easat-11220	17	23	1	1	NUM
easat-11220	17	24	-	-	SYM
easat-11220	17	25	3	3	NUM
easat-11220	17	26	]	]	PUNCT
easat-11220	17	27	.	.	PUNCT
easat-11220	18	1	as	as	SCONJ
easat-11220	18	2	the	the	DET
easat-11220	18	3	number	number	NOUN
easat-11220	18	4	of	of	ADP
easat-11220	18	5	palm	palm	NOUN
easat-11220	18	6	oil	oil	NOUN
easat-11220	18	7	farmers	farmer	NOUN
easat-11220	18	8	increases	increase	VERB
easat-11220	18	9	,	,	PUNCT
easat-11220	18	10	determining	determine	VERB
easat-11220	18	11	the	the	DET
easat-11220	18	12	optimal	optimal	ADJ
easat-11220	18	13	maturity	maturity	NOUN
easat-11220	18	14	of	of	ADP
easat-11220	18	15	palm	palm	NOUN
easat-11220	18	16	fruits	fruit	NOUN
easat-11220	18	17	becomes	become	VERB
easat-11220	18	18	crucial	crucial	ADJ
easat-11220	18	19	for	for	ADP
easat-11220	18	20	ensuring	ensure	VERB
easat-11220	18	21	high	high	ADJ
easat-11220	18	22	-	-	PUNCT
easat-11220	18	23	quality	quality	NOUN
easat-11220	18	24	yields	yield	NOUN
easat-11220	18	25	.	.	PUNCT
easat-11220	19	1	harvesting	harvesting	NOUN
easat-11220	19	2	before	before	ADP
easat-11220	19	3	the	the	DET
easat-11220	19	4	optimal	optimal	ADJ
easat-11220	19	5	ripeness	ripeness	NOUN
easat-11220	19	6	stage	stage	NOUN
easat-11220	19	7	can	can	AUX
easat-11220	19	8	significantly	significantly	ADV
easat-11220	19	9	affect	affect	VERB
easat-11220	19	10	both	both	DET
easat-11220	19	11	the	the	DET
easat-11220	19	12	quality	quality	NOUN
easat-11220	19	13	of	of	ADP
easat-11220	19	14	the	the	DET
easat-11220	19	15	current	current	ADJ
easat-11220	19	16	yield	yield	NOUN
easat-11220	19	17	and	and	CCONJ
easat-11220	19	18	fruit	fruit	NOUN
easat-11220	19	19	production	production	NOUN
easat-11220	19	20	in	in	ADP
easat-11220	19	21	subsequent	subsequent	ADJ
easat-11220	19	22	harvests	harvest	NOUN
easat-11220	19	23	[	[	X
easat-11220	19	24	4	4	NUM
easat-11220	19	25	-	-	SYM
easat-11220	19	26	6	6	NUM
easat-11220	19	27	]	]	PUNCT
easat-11220	19	28	.	.	PUNCT
easat-11220	20	1	therefore	therefore	ADV
easat-11220	20	2	,	,	PUNCT
easat-11220	20	3	farmers	farmer	NOUN
easat-11220	20	4	must	must	AUX
easat-11220	20	5	be	be	AUX
easat-11220	20	6	adept	adept	ADJ
easat-11220	20	7	at	at	ADP
easat-11220	20	8	identifying	identify	VERB
easat-11220	20	9	the	the	DET
easat-11220	20	10	appropriate	appropriate	ADJ
easat-11220	20	11	maturity	maturity	NOUN
easat-11220	20	12	of	of	ADP
easat-11220	20	13	palm	palm	NOUN
easat-11220	20	14	fruits	fruit	NOUN
easat-11220	20	15	before	before	ADP
easat-11220	20	16	harvesting	harvesting	NOUN
easat-11220	20	17	.	.	PUNCT
easat-11220	21	1	ensuring	ensure	VERB
easat-11220	21	2	optimal	optimal	ADJ
easat-11220	21	3	harvest	harvest	NOUN
easat-11220	21	4	timing	timing	NOUN
easat-11220	21	5	requires	require	VERB
easat-11220	21	6	an	an	DET
easat-11220	21	7	in	in	ADP
easat-11220	21	8	-	-	PUNCT
easat-11220	21	9	depth	depth	NOUN
easat-11220	21	10	understanding	understanding	NOUN
easat-11220	21	11	of	of	ADP
easat-11220	21	12	palm	palm	NOUN
easat-11220	21	13	fruit	fruit	NOUN
easat-11220	21	14	development	development	NOUN
easat-11220	21	15	and	and	CCONJ
easat-11220	21	16	strict	strict	ADJ
easat-11220	21	17	adherence	adherence	NOUN
easat-11220	21	18	to	to	ADP
easat-11220	21	19	established	establish	VERB
easat-11220	21	20	harvesting	harvesting	NOUN
easat-11220	21	21	guidelines	guideline	NOUN
easat-11220	22	1	[	[	X
easat-11220	22	2	7	7	NUM
easat-11220	22	3	-	-	SYM
easat-11220	22	4	10	10	NUM
easat-11220	22	5	]	]	PUNCT
easat-11220	22	6	.	.	PUNCT
easat-11220	23	1	this	this	DET
easat-11220	23	2	knowledge	knowledge	NOUN
easat-11220	23	3	is	be	AUX
easat-11220	23	4	fundamental	fundamental	ADJ
easat-11220	23	5	for	for	ADP
easat-11220	23	6	maintaining	maintain	VERB
easat-11220	23	7	the	the	DET
easat-11220	23	8	quality	quality	NOUN
easat-11220	23	9	and	and	CCONJ
easat-11220	23	10	productivity	productivity	NOUN
easat-11220	23	11	of	of	ADP
easat-11220	23	12	palm	palm	NOUN
easat-11220	23	13	oil	oil	NOUN
easat-11220	23	14	plantations	plantation	NOUN
easat-11220	23	15	in	in	ADP
easat-11220	23	16	the	the	DET
easat-11220	23	17	long	long	ADJ
easat-11220	23	18	term	term	NOUN
easat-11220	23	19	.	.	PUNCT
easat-11220	24	1	in	in	ADP
easat-11220	24	2	our	our	PRON
easat-11220	24	3	previous	previous	ADJ
easat-11220	24	4	study	study	NOUN
easat-11220	24	5	,	,	PUNCT
easat-11220	24	6	ragil	ragil	NOUN
easat-11220	24	7	and	and	CCONJ
easat-11220	24	8	nurahman	nurahman	NOUN
easat-11220	24	9	[	[	X
easat-11220	24	10	11	11	NUM
easat-11220	24	11	]	]	PUNCT
easat-11220	24	12	,	,	PUNCT
easat-11220	24	13	we	we	PRON
easat-11220	24	14	developed	develop	VERB
easat-11220	24	15	a	a	DET
easat-11220	24	16	classification	classification	NOUN
easat-11220	24	17	model	model	NOUN
easat-11220	24	18	for	for	ADP
easat-11220	24	19	palm	palm	NOUN
easat-11220	24	20	fruit	fruit	NOUN
easat-11220	24	21	ripeness	ripeness	NOUN
easat-11220	24	22	using	use	VERB
easat-11220	24	23	the	the	DET
easat-11220	24	24	k	k	NOUN
easat-11220	24	25	-	-	PUNCT
easat-11220	24	26	nearest	near	ADJ
easat-11220	24	27	neighbors	neighbor	NOUN
easat-11220	24	28	(	(	PUNCT
easat-11220	24	29	k	k	X
easat-11220	24	30	-	-	PUNCT
easat-11220	24	31	nn	nn	ADJ
easat-11220	24	32	)	)	PUNCT
easat-11220	24	33	method	method	NOUN
easat-11220	24	34	based	base	VERB
easat-11220	24	35	on	on	ADP
easat-11220	24	36	rgb	rgb	PROPN
easat-11220	24	37	and	and	CCONJ
easat-11220	24	38	gray	gray	ADJ
easat-11220	24	39	level	level	NOUN
easat-11220	24	40	co	co	NOUN
easat-11220	24	41	-	-	NOUN
easat-11220	24	42	occurrence	occurrence	ADJ
easat-11220	24	43	matrix	matrix	NOUN
easat-11220	24	44	(	(	PUNCT
easat-11220	24	45	glcm	glcm	PROPN
easat-11220	24	46	)	)	PUNCT
easat-11220	24	47	features	feature	NOUN
easat-11220	24	48	.	.	PUNCT
easat-11220	25	1	although	although	SCONJ
easat-11220	25	2	the	the	DET
easat-11220	25	3	k	k	PROPN
easat-11220	25	4	-	-	PUNCT
easat-11220	25	5	nn	nn	PROPN
easat-11220	25	6	model	model	NOUN
easat-11220	25	7	achieved	achieve	VERB
easat-11220	25	8	its	its	PRON
easat-11220	25	9	highest	high	ADJ
easat-11220	25	10	accuracy	accuracy	NOUN
easat-11220	25	11	of	of	ADP
easat-11220	25	12	68	68	NUM
easat-11220	25	13	%	%	NOUN
easat-11220	25	14	at	at	ADP
easat-11220	25	15	k=1	k=1	PROPN
easat-11220	25	16	,	,	PUNCT
easat-11220	25	17	the	the	DET
easat-11220	25	18	structured	structured	ADJ
easat-11220	25	19	approach	approach	NOUN
easat-11220	25	20	used	use	VERB
easat-11220	25	21	in	in	ADP
easat-11220	25	22	the	the	DET
easat-11220	25	23	training	training	NOUN
easat-11220	25	24	limited	limit	VERB
easat-11220	25	25	the	the	DET
easat-11220	25	26	effectiveness	effectiveness	NOUN
easat-11220	25	27	of	of	ADP
easat-11220	25	28	the	the	DET
easat-11220	25	29	ripeness	ripeness	NOUN
easat-11220	25	30	classification	classification	NOUN
easat-11220	25	31	.	.	PUNCT
easat-11220	26	1	the	the	DET
easat-11220	26	2	challenges	challenge	NOUN
easat-11220	26	3	faced	face	VERB
easat-11220	26	4	in	in	ADP
easat-11220	26	5	implementing	implement	VERB
easat-11220	26	6	this	this	DET
easat-11220	26	7	approach	approach	NOUN
easat-11220	26	8	highlight	highlight	VERB
easat-11220	26	9	the	the	DET
easat-11220	26	10	need	need	NOUN
easat-11220	26	11	for	for	ADP
easat-11220	26	12	more	more	ADV
easat-11220	26	13	advanced	advanced	ADJ
easat-11220	26	14	methods	method	NOUN
easat-11220	26	15	that	that	PRON
easat-11220	26	16	can	can	AUX
easat-11220	26	17	https://orcid.org/0009-0000-4385-7483	https://orcid.org/0009-0000-4385-7483	VERB
easat-11220	26	18	https://orcid.org/0009-0000-8175-0599	https://orcid.org/0009-0000-8175-0599	PROPN
easat-11220	26	19	https://orcid.org/0009-0008-1319-383x	https://orcid.org/0009-0008-1319-383x	PROPN
easat-11220	26	20	https://orcid.org/0009-0003-4880-1077	https://orcid.org/0009-0003-4880-1077	PROPN
easat-11220	26	21	https://orcid.org/0000-0003-1596-3267	https://orcid.org/0000-0003-1596-3267	PROPN
easat-11220	26	22	1390	1390	NUM
easat-11220	26	23	edelweiss	edelweiss	PROPN
easat-11220	26	24	applied	apply	VERB
easat-11220	26	25	science	science	NOUN
easat-11220	26	26	and	and	CCONJ
easat-11220	26	27	technology	technology	NOUN
easat-11220	26	28	issn	issn	PROPN
easat-11220	26	29	:	:	PUNCT
easat-11220	26	30	2576	2576	NUM
easat-11220	26	31	-	-	SYM
easat-11220	26	32	8484	8484	NUM
easat-11220	26	33	vol	vol	NOUN
easat-11220	26	34	.	.	PROPN
easat-11220	27	1	9	9	NUM
easat-11220	27	2	,	,	PUNCT
easat-11220	27	3	no	no	INTJ
easat-11220	27	4	.	.	NOUN
easat-11220	27	5	11	11	NUM
easat-11220	27	6	:	:	PUNCT
easat-11220	27	7	1389	1389	NUM
easat-11220	27	8	-	-	SYM
easat-11220	27	9	1401	1401	NUM
easat-11220	27	10	,	,	PUNCT
easat-11220	27	11	2025	2025	NUM
easat-11220	27	12	doi	doi	NOUN
easat-11220	27	13	:	:	PUNCT
easat-11220	27	14	10.55214/2576	10.55214/2576	NUM
easat-11220	27	15	-	-	SYM
easat-11220	27	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	28	1	©	©	PROPN
easat-11220	28	2	2025	2025	NUM
easat-11220	28	3	by	by	ADP
easat-11220	28	4	the	the	DET
easat-11220	28	5	authors	author	NOUN
easat-11220	28	6	;	;	PUNCT
easat-11220	28	7	licensee	licensee	PROPN
easat-11220	28	8	learning	learning	NOUN
easat-11220	28	9	gate	gate	NOUN
easat-11220	28	10	handle	handle	VERB
easat-11220	28	11	the	the	DET
easat-11220	28	12	complexity	complexity	NOUN
easat-11220	28	13	of	of	ADP
easat-11220	28	14	data	datum	NOUN
easat-11220	28	15	more	more	ADV
easat-11220	28	16	effectively	effectively	ADV
easat-11220	28	17	.	.	PUNCT
easat-11220	29	1	furthermore	furthermore	ADV
easat-11220	29	2	,	,	PUNCT
easat-11220	29	3	the	the	DET
easat-11220	29	4	technical	technical	ADJ
easat-11220	29	5	skills	skill	NOUN
easat-11220	29	6	required	require	VERB
easat-11220	29	7	to	to	PART
easat-11220	29	8	operate	operate	VERB
easat-11220	29	9	and	and	CCONJ
easat-11220	29	10	maintain	maintain	VERB
easat-11220	29	11	such	such	ADJ
easat-11220	29	12	systems	system	NOUN
easat-11220	29	13	present	present	ADJ
easat-11220	29	14	barriers	barrier	NOUN
easat-11220	29	15	for	for	ADP
easat-11220	29	16	practical	practical	ADJ
easat-11220	29	17	agricultural	agricultural	ADJ
easat-11220	29	18	implementation	implementation	NOUN
easat-11220	29	19	.	.	PUNCT
easat-11220	30	1	to	to	PART
easat-11220	30	2	address	address	VERB
easat-11220	30	3	these	these	DET
easat-11220	30	4	challenges	challenge	NOUN
easat-11220	30	5	,	,	PUNCT
easat-11220	30	6	a	a	DET
easat-11220	30	7	well	well	ADV
easat-11220	30	8	-	-	PUNCT
easat-11220	30	9	designed	design	VERB
easat-11220	30	10	model	model	NOUN
easat-11220	30	11	capable	capable	ADJ
easat-11220	30	12	of	of	ADP
easat-11220	30	13	improving	improve	VERB
easat-11220	30	14	accuracy	accuracy	NOUN
easat-11220	30	15	and	and	CCONJ
easat-11220	30	16	reducing	reduce	VERB
easat-11220	30	17	complexity	complexity	NOUN
easat-11220	30	18	is	be	AUX
easat-11220	30	19	necessary	necessary	ADJ
easat-11220	30	20	.	.	PUNCT
easat-11220	31	1	this	this	PRON
easat-11220	31	2	requires	require	VERB
easat-11220	31	3	collaboration	collaboration	NOUN
easat-11220	31	4	between	between	ADP
easat-11220	31	5	it	it	PRON
easat-11220	31	6	experts	expert	NOUN
easat-11220	31	7	,	,	PUNCT
easat-11220	31	8	agricultural	agricultural	ADJ
easat-11220	31	9	specialists	specialist	NOUN
easat-11220	31	10	,	,	PUNCT
easat-11220	31	11	and	and	CCONJ
easat-11220	31	12	stakeholders	stakeholder	NOUN
easat-11220	31	13	to	to	PART
easat-11220	31	14	create	create	VERB
easat-11220	31	15	an	an	DET
easat-11220	31	16	effective	effective	ADJ
easat-11220	31	17	and	and	CCONJ
easat-11220	31	18	sustainable	sustainable	ADJ
easat-11220	31	19	solution	solution	NOUN
easat-11220	31	20	for	for	ADP
easat-11220	31	21	farmers	farmer	NOUN
easat-11220	31	22	and	and	CCONJ
easat-11220	31	23	support	support	VERB
easat-11220	31	24	the	the	DET
easat-11220	31	25	local	local	ADJ
easat-11220	31	26	precision	precision	NOUN
easat-11220	31	27	agriculture	agriculture	NOUN
easat-11220	31	28	community	community	NOUN
easat-11220	31	29	.	.	PUNCT
easat-11220	32	1	deep	deep	ADJ
easat-11220	32	2	learning	learning	NOUN
easat-11220	32	3	has	have	AUX
easat-11220	32	4	emerged	emerge	VERB
easat-11220	32	5	as	as	ADP
easat-11220	32	6	a	a	DET
easat-11220	32	7	promising	promising	ADJ
easat-11220	32	8	solution	solution	NOUN
easat-11220	32	9	for	for	ADP
easat-11220	32	10	tackling	tackle	VERB
easat-11220	32	11	such	such	ADJ
easat-11220	32	12	challenges	challenge	NOUN
easat-11220	32	13	in	in	ADP
easat-11220	32	14	precision	precision	NOUN
easat-11220	32	15	agriculture	agriculture	NOUN
easat-11220	32	16	[	[	X
easat-11220	32	17	12	12	NUM
easat-11220	32	18	]	]	PUNCT
easat-11220	32	19	.	.	PUNCT
easat-11220	33	1	one	one	NUM
easat-11220	33	2	of	of	ADP
easat-11220	33	3	the	the	DET
easat-11220	33	4	most	most	ADV
easat-11220	33	5	popular	popular	ADJ
easat-11220	33	6	approaches	approach	NOUN
easat-11220	33	7	in	in	ADP
easat-11220	33	8	deep	deep	ADJ
easat-11220	33	9	learning	learning	NOUN
easat-11220	33	10	for	for	ADP
easat-11220	33	11	image	image	NOUN
easat-11220	33	12	data	datum	NOUN
easat-11220	33	13	is	be	AUX
easat-11220	33	14	the	the	DET
easat-11220	33	15	convolutional	convolutional	ADJ
easat-11220	33	16	neural	neural	ADJ
easat-11220	33	17	network	network	NOUN
easat-11220	33	18	(	(	PUNCT
easat-11220	33	19	cnn	cnn	PROPN
easat-11220	33	20	)	)	PUNCT
easat-11220	33	21	architecture	architecture	NOUN
easat-11220	33	22	,	,	PUNCT
easat-11220	33	23	which	which	PRON
easat-11220	33	24	is	be	AUX
easat-11220	33	25	specifically	specifically	ADV
easat-11220	33	26	designed	design	VERB
easat-11220	33	27	to	to	PART
easat-11220	33	28	handle	handle	VERB
easat-11220	33	29	image	image	NOUN
easat-11220	33	30	data	datum	NOUN
easat-11220	33	31	[	[	X
easat-11220	33	32	13	13	NUM
easat-11220	33	33	]	]	PUNCT
easat-11220	33	34	.	.	PUNCT
easat-11220	34	1	cnns	cnns	PROPN
easat-11220	34	2	consist	consist	VERB
easat-11220	34	3	of	of	ADP
easat-11220	34	4	multiple	multiple	ADJ
easat-11220	34	5	layers	layer	NOUN
easat-11220	34	6	where	where	SCONJ
easat-11220	34	7	convolution	convolution	NOUN
easat-11220	34	8	operations	operation	NOUN
easat-11220	34	9	are	be	AUX
easat-11220	34	10	performed	perform	VERB
easat-11220	34	11	to	to	PART
easat-11220	34	12	detect	detect	VERB
easat-11220	34	13	important	important	ADJ
easat-11220	34	14	features	feature	NOUN
easat-11220	34	15	in	in	ADP
easat-11220	34	16	the	the	DET
easat-11220	34	17	input	input	NOUN
easat-11220	34	18	images	image	NOUN
easat-11220	34	19	.	.	PUNCT
easat-11220	35	1	they	they	PRON
easat-11220	35	2	are	be	AUX
easat-11220	35	3	followed	follow	VERB
easat-11220	35	4	by	by	ADP
easat-11220	35	5	nonlinear	nonlinear	ADJ
easat-11220	35	6	activation	activation	NOUN
easat-11220	35	7	functions	function	NOUN
easat-11220	35	8	like	like	ADP
easat-11220	35	9	relu	relu	NOUN
easat-11220	35	10	and	and	CCONJ
easat-11220	35	11	pooling	pool	VERB
easat-11220	35	12	layers	layer	NOUN
easat-11220	35	13	that	that	PRON
easat-11220	35	14	reduce	reduce	VERB
easat-11220	35	15	the	the	DET
easat-11220	35	16	image	image	NOUN
easat-11220	35	17	dimensions	dimension	NOUN
easat-11220	35	18	.	.	PUNCT
easat-11220	36	1	the	the	DET
easat-11220	36	2	model	model	NOUN
easat-11220	36	3	typically	typically	ADV
easat-11220	36	4	consists	consist	VERB
easat-11220	36	5	of	of	ADP
easat-11220	36	6	fully	fully	ADV
easat-11220	36	7	connected	connected	ADJ
easat-11220	36	8	layers	layer	NOUN
easat-11220	36	9	that	that	PRON
easat-11220	36	10	produce	produce	VERB
easat-11220	36	11	classification	classification	NOUN
easat-11220	36	12	outputs	output	NOUN
easat-11220	36	13	[	[	X
easat-11220	36	14	14	14	NUM
easat-11220	36	15	]	]	PUNCT
easat-11220	36	16	.	.	PUNCT
easat-11220	37	1	cnns	cnns	PROPN
easat-11220	37	2	have	have	AUX
easat-11220	37	3	demonstrated	demonstrate	VERB
easat-11220	37	4	their	their	PRON
easat-11220	37	5	ability	ability	NOUN
easat-11220	37	6	to	to	PART
easat-11220	37	7	extract	extract	VERB
easat-11220	37	8	complex	complex	ADJ
easat-11220	37	9	features	feature	NOUN
easat-11220	37	10	effectively	effectively	ADV
easat-11220	37	11	,	,	PUNCT
easat-11220	37	12	making	make	VERB
easat-11220	37	13	them	they	PRON
easat-11220	37	14	suitable	suitable	ADJ
easat-11220	37	15	for	for	ADP
easat-11220	37	16	various	various	ADJ
easat-11220	37	17	image	image	NOUN
easat-11220	37	18	processing	processing	NOUN
easat-11220	37	19	tasks	task	NOUN
easat-11220	37	20	,	,	PUNCT
easat-11220	37	21	including	include	VERB
easat-11220	37	22	object	object	NOUN
easat-11220	37	23	recognition	recognition	NOUN
easat-11220	37	24	and	and	CCONJ
easat-11220	37	25	classification	classification	NOUN
easat-11220	37	26	[	[	X
easat-11220	37	27	15	15	NUM
easat-11220	37	28	-	-	SYM
easat-11220	37	29	17	17	NUM
easat-11220	37	30	]	]	PUNCT
easat-11220	37	31	.	.	PUNCT
easat-11220	38	1	previous	previous	ADJ
easat-11220	38	2	studies	study	NOUN
easat-11220	38	3	have	have	AUX
easat-11220	38	4	shown	show	VERB
easat-11220	38	5	the	the	DET
easat-11220	38	6	effectiveness	effectiveness	NOUN
easat-11220	38	7	of	of	ADP
easat-11220	38	8	cnn	cnn	PROPN
easat-11220	38	9	models	model	NOUN
easat-11220	38	10	in	in	ADP
easat-11220	38	11	a	a	DET
easat-11220	38	12	variety	variety	NOUN
easat-11220	38	13	of	of	ADP
easat-11220	38	14	contexts	contexts	NOUN
easat-11220	38	15	.	.	PUNCT
easat-11220	39	1	for	for	ADP
easat-11220	39	2	instance	instance	NOUN
easat-11220	39	3	,	,	PUNCT
easat-11220	39	4	cnn	cnn	PROPN
easat-11220	39	5	models	model	NOUN
easat-11220	39	6	have	have	AUX
easat-11220	39	7	been	be	AUX
easat-11220	39	8	utilized	utilize	VERB
easat-11220	39	9	to	to	PART
easat-11220	39	10	classify	classify	VERB
easat-11220	39	11	various	various	ADJ
easat-11220	39	12	agricultural	agricultural	ADJ
easat-11220	39	13	products	product	NOUN
easat-11220	39	14	,	,	PUNCT
easat-11220	39	15	thereby	thereby	ADV
easat-11220	39	16	enhancing	enhance	VERB
easat-11220	39	17	the	the	DET
easat-11220	39	18	efficiency	efficiency	NOUN
easat-11220	39	19	and	and	CCONJ
easat-11220	39	20	accuracy	accuracy	NOUN
easat-11220	39	21	of	of	ADP
easat-11220	39	22	crop	crop	NOUN
easat-11220	39	23	management	management	NOUN
easat-11220	39	24	practices	practice	NOUN
easat-11220	39	25	[	[	X
easat-11220	39	26	18	18	NUM
easat-11220	39	27	,	,	PUNCT
easat-11220	39	28	19	19	NUM
easat-11220	39	29	]	]	PUNCT
easat-11220	39	30	.	.	PUNCT
easat-11220	40	1	a	a	DET
easat-11220	40	2	study	study	NOUN
easat-11220	40	3	by	by	ADP
easat-11220	40	4	reshi	reshi	PROPN
easat-11220	40	5	et	et	PROPN
easat-11220	40	6	al	al	PROPN
easat-11220	40	7	.	.	PUNCT
easat-11220	41	1	[	[	X
easat-11220	41	2	20	20	NUM
easat-11220	41	3	]	]	PUNCT
easat-11220	41	4	demonstrated	demonstrate	VERB
easat-11220	41	5	that	that	SCONJ
easat-11220	41	6	a	a	DET
easat-11220	41	7	cnn	cnn	PROPN
easat-11220	41	8	model	model	NOUN
easat-11220	41	9	could	could	AUX
easat-11220	41	10	achieve	achieve	VERB
easat-11220	41	11	up	up	ADP
easat-11220	41	12	to	to	PART
easat-11220	41	13	99.5	99.5	NUM
easat-11220	41	14	%	%	NOUN
easat-11220	41	15	accuracy	accuracy	NOUN
easat-11220	41	16	when	when	SCONJ
easat-11220	41	17	classifying	classify	VERB
easat-11220	41	18	processed	process	VERB
easat-11220	41	19	x	x	NOUN
easat-11220	41	20	-	-	NOUN
easat-11220	41	21	ray	ray	NOUN
easat-11220	41	22	images	image	NOUN
easat-11220	41	23	,	,	PUNCT
easat-11220	41	24	proving	prove	VERB
easat-11220	41	25	the	the	DET
easat-11220	41	26	power	power	NOUN
easat-11220	41	27	of	of	ADP
easat-11220	41	28	cnns	cnn	NOUN
easat-11220	41	29	in	in	ADP
easat-11220	41	30	extracting	extract	VERB
easat-11220	41	31	crucial	crucial	ADJ
easat-11220	41	32	information	information	NOUN
easat-11220	41	33	from	from	ADP
easat-11220	41	34	visual	visual	ADJ
easat-11220	41	35	data	datum	NOUN
easat-11220	41	36	.	.	PUNCT
easat-11220	42	1	furthermore	furthermore	ADV
easat-11220	42	2	,	,	PUNCT
easat-11220	42	3	the	the	DET
easat-11220	42	4	ability	ability	NOUN
easat-11220	42	5	of	of	ADP
easat-11220	42	6	cnns	cnn	NOUN
easat-11220	42	7	to	to	PART
easat-11220	42	8	recognize	recognize	VERB
easat-11220	42	9	spatial	spatial	ADJ
easat-11220	42	10	patterns	pattern	NOUN
easat-11220	42	11	and	and	CCONJ
easat-11220	42	12	extract	extract	VERB
easat-11220	42	13	diverse	diverse	ADJ
easat-11220	42	14	properties	property	NOUN
easat-11220	42	15	from	from	ADP
easat-11220	42	16	images	image	NOUN
easat-11220	42	17	has	have	AUX
easat-11220	42	18	been	be	AUX
easat-11220	42	19	highlighted	highlight	VERB
easat-11220	42	20	in	in	ADP
easat-11220	42	21	the	the	DET
easat-11220	42	22	literature	literature	NOUN
easat-11220	42	23	,	,	PUNCT
easat-11220	42	24	reinforcing	reinforce	VERB
easat-11220	42	25	their	their	PRON
easat-11220	42	26	utility	utility	NOUN
easat-11220	42	27	in	in	ADP
easat-11220	42	28	precision	precision	NOUN
easat-11220	42	29	agriculture	agriculture	NOUN
easat-11220	42	30	applications	application	NOUN
easat-11220	42	31	[	[	X
easat-11220	42	32	21	21	NUM
easat-11220	42	33	]	]	PUNCT
easat-11220	42	34	.	.	PUNCT
easat-11220	43	1	recent	recent	ADJ
easat-11220	43	2	studies	study	NOUN
easat-11220	43	3	have	have	AUX
easat-11220	43	4	also	also	ADV
easat-11220	43	5	explored	explore	VERB
easat-11220	43	6	non	non	ADJ
easat-11220	43	7	-	-	ADJ
easat-11220	43	8	visual	visual	ADJ
easat-11220	43	9	and	and	CCONJ
easat-11220	43	10	chemical	chemical	NOUN
easat-11220	43	11	-	-	PUNCT
easat-11220	43	12	based	base	VERB
easat-11220	43	13	approaches	approach	NOUN
easat-11220	43	14	for	for	ADP
easat-11220	43	15	ripeness	ripeness	NOUN
easat-11220	43	16	assessment	assessment	NOUN
easat-11220	43	17	.	.	PUNCT
easat-11220	44	1	a	a	DET
easat-11220	44	2	notable	notable	ADJ
easat-11220	44	3	work	work	NOUN
easat-11220	44	4	by	by	ADP
easat-11220	44	5	tzuan	tzuan	PROPN
easat-11220	44	6	et	et	PROPN
easat-11220	44	7	al	al	PROPN
easat-11220	44	8	.	.	PUNCT
easat-11220	45	1	[	[	X
easat-11220	45	2	22	22	NUM
easat-11220	45	3	]	]	X
easat-11220	45	4	utilized	utilize	VERB
easat-11220	45	5	raman	raman	NOUN
easat-11220	45	6	spectroscopy	spectroscopy	NOUN
easat-11220	45	7	to	to	PART
easat-11220	45	8	identify	identify	VERB
easat-11220	45	9	molecular	molecular	ADJ
easat-11220	45	10	characteristics	characteristic	NOUN
easat-11220	45	11	such	such	ADJ
easat-11220	45	12	as	as	ADP
easat-11220	45	13	protein	protein	NOUN
easat-11220	45	14	,	,	PUNCT
easat-11220	45	15	lipid	lipid	NOUN
easat-11220	45	16	,	,	PUNCT
easat-11220	45	17	carotene	carotene	NOUN
easat-11220	45	18	,	,	PUNCT
easat-11220	45	19	and	and	CCONJ
easat-11220	45	20	guanine	guanine	NOUN
easat-11220	45	21	/	/	SYM
easat-11220	45	22	cytosine	cytosine	NOUN
easat-11220	45	23	,	,	PUNCT
easat-11220	45	24	and	and	CCONJ
easat-11220	45	25	employed	employ	VERB
easat-11220	45	26	an	an	DET
easat-11220	45	27	ann	ann	PROPN
easat-11220	45	28	model	model	NOUN
easat-11220	45	29	,	,	PUNCT
easat-11220	45	30	achieving	achieve	VERB
easat-11220	45	31	97.9	97.9	NUM
easat-11220	45	32	percent	percent	NOUN
easat-11220	45	33	accuracy	accuracy	NOUN
easat-11220	45	34	in	in	ADP
easat-11220	45	35	classifying	classify	VERB
easat-11220	45	36	oil	oil	NOUN
easat-11220	45	37	palm	palm	NOUN
easat-11220	45	38	fruit	fruit	NOUN
easat-11220	45	39	ripeness	ripeness	NOUN
easat-11220	45	40	.	.	PUNCT
easat-11220	46	1	although	although	SCONJ
easat-11220	46	2	highly	highly	ADV
easat-11220	46	3	accurate	accurate	ADJ
easat-11220	46	4	,	,	PUNCT
easat-11220	46	5	this	this	DET
easat-11220	46	6	spectroscopy	spectroscopy	NOUN
easat-11220	46	7	-	-	PUNCT
easat-11220	46	8	based	base	VERB
easat-11220	46	9	method	method	NOUN
easat-11220	46	10	requires	require	VERB
easat-11220	46	11	specialized	specialized	ADJ
easat-11220	46	12	instruments	instrument	NOUN
easat-11220	46	13	and	and	CCONJ
easat-11220	46	14	is	be	AUX
easat-11220	46	15	less	less	ADV
easat-11220	46	16	practical	practical	ADJ
easat-11220	46	17	for	for	ADP
easat-11220	46	18	field	field	NOUN
easat-11220	46	19	deployment	deployment	NOUN
easat-11220	46	20	compared	compare	VERB
easat-11220	46	21	to	to	ADP
easat-11220	46	22	imagebased	imagebase	VERB
easat-11220	46	23	techniques	technique	NOUN
easat-11220	46	24	.	.	PUNCT
easat-11220	47	1	recent	recent	ADJ
easat-11220	47	2	developments	development	NOUN
easat-11220	47	3	in	in	ADP
easat-11220	47	4	image	image	NOUN
easat-11220	47	5	-	-	PUNCT
easat-11220	47	6	based	base	VERB
easat-11220	47	7	artificial	artificial	ADJ
easat-11220	47	8	neural	neural	ADJ
easat-11220	47	9	networks	network	NOUN
easat-11220	47	10	for	for	ADP
easat-11220	47	11	precision	precision	NOUN
easat-11220	47	12	agriculture	agriculture	NOUN
easat-11220	47	13	also	also	ADV
easat-11220	47	14	reinforce	reinforce	VERB
easat-11220	47	15	the	the	DET
easat-11220	47	16	importance	importance	NOUN
easat-11220	47	17	of	of	ADP
easat-11220	47	18	automated	automate	VERB
easat-11220	47	19	fruit	fruit	NOUN
easat-11220	47	20	assessment	assessment	NOUN
easat-11220	47	21	.	.	PUNCT
easat-11220	48	1	a	a	DET
easat-11220	48	2	recent	recent	ADJ
easat-11220	48	3	systematic	systematic	ADJ
easat-11220	48	4	literature	literature	NOUN
easat-11220	48	5	review	review	NOUN
easat-11220	48	6	[	[	X
easat-11220	48	7	23	23	NUM
easat-11220	48	8	]	]	PUNCT
easat-11220	48	9	highlighted	highlight	VERB
easat-11220	48	10	that	that	SCONJ
easat-11220	48	11	cnn	cnn	PROPN
easat-11220	48	12	-	-	PUNCT
easat-11220	48	13	based	base	VERB
easat-11220	48	14	architectures	architecture	NOUN
easat-11220	48	15	,	,	PUNCT
easat-11220	48	16	including	include	VERB
easat-11220	48	17	vgg16	vgg16	NOUN
easat-11220	48	18	and	and	CCONJ
easat-11220	48	19	resnet50	resnet50	NOUN
easat-11220	48	20	,	,	PUNCT
easat-11220	48	21	consistently	consistently	ADV
easat-11220	48	22	achieve	achieve	VERB
easat-11220	48	23	high	high	ADJ
easat-11220	48	24	accuracy	accuracy	NOUN
easat-11220	48	25	across	across	ADP
easat-11220	48	26	crops	crop	NOUN
easat-11220	48	27	such	such	ADJ
easat-11220	48	28	as	as	ADP
easat-11220	48	29	mango	mango	NOUN
easat-11220	48	30	,	,	PUNCT
easat-11220	48	31	apple	apple	NOUN
easat-11220	48	32	,	,	PUNCT
easat-11220	48	33	lemon	lemon	NOUN
easat-11220	48	34	,	,	PUNCT
easat-11220	48	35	and	and	CCONJ
easat-11220	48	36	coffee	coffee	NOUN
easat-11220	48	37	,	,	PUNCT
easat-11220	48	38	with	with	ADP
easat-11220	48	39	reported	report	VERB
easat-11220	48	40	performance	performance	NOUN
easat-11220	48	41	reaching	reach	VERB
easat-11220	48	42	83	83	NUM
easat-11220	48	43	to	to	PART
easat-11220	48	44	99	99	NUM
easat-11220	48	45	percent	percent	NOUN
easat-11220	48	46	.	.	PUNCT
easat-11220	49	1	the	the	DET
easat-11220	49	2	review	review	NOUN
easat-11220	49	3	further	far	ADV
easat-11220	49	4	emphasizes	emphasize	VERB
easat-11220	49	5	the	the	DET
easat-11220	49	6	growing	grow	VERB
easat-11220	49	7	role	role	NOUN
easat-11220	49	8	of	of	ADP
easat-11220	49	9	lightweight	lightweight	ADJ
easat-11220	49	10	models	model	NOUN
easat-11220	49	11	and	and	CCONJ
easat-11220	49	12	the	the	DET
easat-11220	49	13	integration	integration	NOUN
easat-11220	49	14	of	of	ADP
easat-11220	49	15	hardware	hardware	NOUN
easat-11220	49	16	–	–	PUNCT
easat-11220	49	17	software	software	NOUN
easat-11220	49	18	pipelines	pipeline	NOUN
easat-11220	49	19	for	for	ADP
easat-11220	49	20	real	real	ADJ
easat-11220	49	21	-	-	PUNCT
easat-11220	49	22	time	time	NOUN
easat-11220	49	23	ripeness	ripeness	NOUN
easat-11220	49	24	detection	detection	NOUN
easat-11220	49	25	and	and	CCONJ
easat-11220	49	26	harvest	harvest	NOUN
easat-11220	49	27	decision	decision	NOUN
easat-11220	49	28	support	support	NOUN
easat-11220	49	29	,	,	PUNCT
easat-11220	49	30	while	while	SCONJ
easat-11220	49	31	also	also	ADV
easat-11220	49	32	noting	note	VERB
easat-11220	49	33	the	the	DET
easat-11220	49	34	underutilization	underutilization	NOUN
easat-11220	49	35	of	of	ADP
easat-11220	49	36	vegetation	vegetation	NOUN
easat-11220	49	37	indices	index	NOUN
easat-11220	49	38	and	and	CCONJ
easat-11220	49	39	infrared	infrared	ADJ
easat-11220	49	40	imaging	imaging	NOUN
easat-11220	49	41	in	in	ADP
easat-11220	49	42	fruitspecific	fruitspecific	ADJ
easat-11220	49	43	quality	quality	NOUN
easat-11220	49	44	evaluation	evaluation	NOUN
easat-11220	49	45	.	.	PUNCT
easat-11220	50	1	these	these	DET
easat-11220	50	2	insights	insight	NOUN
easat-11220	50	3	confirm	confirm	VERB
easat-11220	50	4	the	the	DET
easat-11220	50	5	relevance	relevance	NOUN
easat-11220	50	6	of	of	ADP
easat-11220	50	7	developing	develop	VERB
easat-11220	50	8	efficient	efficient	ADJ
easat-11220	50	9	image	image	NOUN
easat-11220	50	10	-	-	PUNCT
easat-11220	50	11	based	base	VERB
easat-11220	50	12	models	model	NOUN
easat-11220	50	13	for	for	ADP
easat-11220	50	14	practical	practical	ADJ
easat-11220	50	15	harvest	harvest	NOUN
easat-11220	50	16	monitoring	monitoring	NOUN
easat-11220	50	17	and	and	CCONJ
easat-11220	50	18	support	support	VERB
easat-11220	50	19	the	the	DET
easat-11220	50	20	need	need	NOUN
easat-11220	50	21	for	for	ADP
easat-11220	50	22	lightweight	lightweight	ADJ
easat-11220	50	23	architectures	architecture	NOUN
easat-11220	50	24	suitable	suitable	ADJ
easat-11220	50	25	for	for	ADP
easat-11220	50	26	field	field	NOUN
easat-11220	50	27	deployment	deployment	NOUN
easat-11220	50	28	.	.	PUNCT
easat-11220	51	1	lightweight	lightweight	ADJ
easat-11220	51	2	convolutional	convolutional	ADJ
easat-11220	51	3	neural	neural	ADJ
easat-11220	51	4	networks	network	NOUN
easat-11220	51	5	have	have	AUX
easat-11220	51	6	also	also	ADV
easat-11220	51	7	gained	gain	VERB
easat-11220	51	8	significant	significant	ADJ
easat-11220	51	9	traction	traction	NOUN
easat-11220	51	10	in	in	ADP
easat-11220	51	11	recent	recent	ADJ
easat-11220	51	12	agricultural	agricultural	ADJ
easat-11220	51	13	applications	application	NOUN
easat-11220	51	14	.	.	PUNCT
easat-11220	52	1	guo	guo	PROPN
easat-11220	52	2	et	et	PROPN
easat-11220	52	3	al	al	PROPN
easat-11220	52	4	.	.	PUNCT
easat-11220	53	1	[	[	X
easat-11220	53	2	24	24	NUM
easat-11220	53	3	]	]	PUNCT
easat-11220	53	4	introduced	introduce	VERB
easat-11220	53	5	lwheatnet	lwheatnet	PROPN
easat-11220	53	6	,	,	PUNCT
easat-11220	53	7	a	a	DET
easat-11220	53	8	lightweight	lightweight	ADJ
easat-11220	53	9	cnn	cnn	PROPN
easat-11220	53	10	integrating	integrate	VERB
easat-11220	53	11	mixed	mixed	ADJ
easat-11220	53	12	channel	channel	NOUN
easat-11220	53	13	–	–	PUNCT
easat-11220	53	14	spatial	spatial	ADJ
easat-11220	53	15	attention	attention	NOUN
easat-11220	53	16	and	and	CCONJ
easat-11220	53	17	stacked	stack	VERB
easat-11220	53	18	inverted	inverted	ADJ
easat-11220	53	19	residual	residual	ADJ
easat-11220	53	20	convolution	convolution	NOUN
easat-11220	53	21	blocks	block	NOUN
easat-11220	53	22	,	,	PUNCT
easat-11220	53	23	achieving	achieve	VERB
easat-11220	53	24	98.59	98.59	NUM
easat-11220	53	25	percent	percent	NOUN
easat-11220	53	26	accuracy	accuracy	NOUN
easat-11220	53	27	while	while	SCONJ
easat-11220	53	28	maintaining	maintain	VERB
easat-11220	53	29	a	a	DET
easat-11220	53	30	compact	compact	ADJ
easat-11220	53	31	1.33	1.33	NUM
easat-11220	53	32	-	-	PUNCT
easat-11220	53	33	million	million	NUM
easat-11220	53	34	-	-	PUNCT
easat-11220	53	35	parameter	parameter	NOUN
easat-11220	53	36	size	size	NOUN
easat-11220	53	37	.	.	PUNCT
easat-11220	54	1	the	the	DET
easat-11220	54	2	model	model	NOUN
easat-11220	54	3	outperformed	outperform	VERB
easat-11220	54	4	classical	classical	ADJ
easat-11220	54	5	networks	network	NOUN
easat-11220	54	6	such	such	ADJ
easat-11220	54	7	as	as	ADP
easat-11220	54	8	alexnet	alexnet	NOUN
easat-11220	54	9	,	,	PUNCT
easat-11220	54	10	vgg16	vgg16	PROPN
easat-11220	54	11	,	,	PUNCT
easat-11220	54	12	mobilenetv2	mobilenetv2	PROPN
easat-11220	54	13	,	,	PUNCT
easat-11220	54	14	mobilenetv3	mobilenetv3	PROPN
easat-11220	54	15	,	,	PUNCT
easat-11220	54	16	and	and	CCONJ
easat-11220	54	17	shufflenetv2	shufflenetv2	NOUN
easat-11220	54	18	,	,	PUNCT
easat-11220	54	19	demonstrating	demonstrate	VERB
easat-11220	54	20	that	that	SCONJ
easat-11220	54	21	efficient	efficient	ADJ
easat-11220	54	22	architectures	architecture	NOUN
easat-11220	54	23	can	can	AUX
easat-11220	54	24	deliver	deliver	VERB
easat-11220	54	25	high	high	ADJ
easat-11220	54	26	performance	performance	NOUN
easat-11220	54	27	even	even	ADV
easat-11220	54	28	under	under	ADP
easat-11220	54	29	limited	limited	ADJ
easat-11220	54	30	computational	computational	ADJ
easat-11220	54	31	resources	resource	NOUN
easat-11220	54	32	.	.	PUNCT
easat-11220	55	1	these	these	DET
easat-11220	55	2	findings	finding	NOUN
easat-11220	55	3	reinforce	reinforce	VERB
easat-11220	55	4	the	the	DET
easat-11220	55	5	growing	grow	VERB
easat-11220	55	6	need	need	NOUN
easat-11220	55	7	for	for	ADP
easat-11220	55	8	resource	resource	NOUN
easat-11220	55	9	-	-	PUNCT
easat-11220	55	10	efficient	efficient	ADJ
easat-11220	55	11	cnn	cnn	NOUN
easat-11220	55	12	models	model	NOUN
easat-11220	55	13	that	that	PRON
easat-11220	55	14	can	can	AUX
easat-11220	55	15	operate	operate	VERB
easat-11220	55	16	in	in	ADP
easat-11220	55	17	real	real	ADJ
easat-11220	55	18	-	-	PUNCT
easat-11220	55	19	time	time	NOUN
easat-11220	55	20	on	on	ADP
easat-11220	55	21	low	low	ADJ
easat-11220	55	22	-	-	PUNCT
easat-11220	55	23	power	power	NOUN
easat-11220	55	24	agricultural	agricultural	ADJ
easat-11220	55	25	devices	device	NOUN
easat-11220	55	26	,	,	PUNCT
easat-11220	55	27	further	far	ADV
easat-11220	55	28	supporting	support	VERB
easat-11220	55	29	the	the	DET
easat-11220	55	30	relevance	relevance	NOUN
easat-11220	55	31	of	of	ADP
easat-11220	55	32	lightweight	lightweight	ADJ
easat-11220	55	33	solutions	solution	NOUN
easat-11220	55	34	for	for	ADP
easat-11220	55	35	practical	practical	ADJ
easat-11220	55	36	field	field	NOUN
easat-11220	55	37	deployment	deployment	NOUN
easat-11220	55	38	.	.	PUNCT
easat-11220	56	1	drawing	draw	VERB
easat-11220	56	2	from	from	ADP
easat-11220	56	3	the	the	DET
easat-11220	56	4	limitations	limitation	NOUN
easat-11220	56	5	identified	identify	VERB
easat-11220	56	6	in	in	ADP
easat-11220	56	7	our	our	PRON
easat-11220	56	8	previous	previous	ADJ
easat-11220	56	9	study	study	NOUN
easat-11220	56	10	and	and	CCONJ
easat-11220	56	11	the	the	DET
easat-11220	56	12	potential	potential	NOUN
easat-11220	56	13	of	of	ADP
easat-11220	56	14	deep	deep	ADJ
easat-11220	56	15	learning	learning	NOUN
easat-11220	56	16	methods	method	NOUN
easat-11220	56	17	,	,	PUNCT
easat-11220	56	18	this	this	DET
easat-11220	56	19	research	research	NOUN
easat-11220	56	20	proposes	propose	VERB
easat-11220	56	21	a	a	DET
easat-11220	56	22	new	new	ADJ
easat-11220	56	23	approach	approach	NOUN
easat-11220	56	24	to	to	PART
easat-11220	56	25	classify	classify	VERB
easat-11220	56	26	palm	palm	NOUN
easat-11220	56	27	fruit	fruit	NOUN
easat-11220	56	28	ripeness	ripeness	NOUN
easat-11220	56	29	using	use	VERB
easat-11220	56	30	a	a	DET
easat-11220	56	31	novel	novel	ADJ
easat-11220	56	32	dataset	dataset	NOUN
easat-11220	56	33	and	and	CCONJ
easat-11220	56	34	a	a	DET
easat-11220	56	35	borneo	borneo	PROPN
easat-11220	56	36	neural	neural	ADJ
easat-11220	56	37	network	network	NOUN
easat-11220	56	38	(	(	PUNCT
easat-11220	56	39	borneonet	borneonet	NOUN
easat-11220	56	40	)	)	PUNCT
easat-11220	56	41	.	.	PUNCT
easat-11220	57	1	borneonet	borneonet	NOUN
easat-11220	57	2	is	be	AUX
easat-11220	57	3	a	a	DET
easat-11220	57	4	shallow	shallow	ADJ
easat-11220	57	5	cnn	cnn	NOUN
easat-11220	57	6	that	that	PRON
easat-11220	57	7	differs	differ	VERB
easat-11220	57	8	from	from	ADP
easat-11220	57	9	deep	deep	ADJ
easat-11220	57	10	cnn	cnn	PROPN
easat-11220	57	11	1391	1391	NUM
easat-11220	57	12	edelweiss	edelweiss	PROPN
easat-11220	57	13	applied	apply	VERB
easat-11220	57	14	science	science	NOUN
easat-11220	57	15	and	and	CCONJ
easat-11220	57	16	technology	technology	NOUN
easat-11220	57	17	issn	issn	PROPN
easat-11220	57	18	:	:	PUNCT
easat-11220	57	19	2576	2576	NUM
easat-11220	57	20	-	-	SYM
easat-11220	57	21	8484	8484	NUM
easat-11220	57	22	vol	vol	NOUN
easat-11220	57	23	.	.	PROPN
easat-11220	58	1	9	9	NUM
easat-11220	58	2	,	,	PUNCT
easat-11220	58	3	no	no	INTJ
easat-11220	58	4	.	.	NOUN
easat-11220	58	5	11	11	NUM
easat-11220	58	6	:	:	PUNCT
easat-11220	58	7	1389	1389	NUM
easat-11220	58	8	-	-	SYM
easat-11220	58	9	1401	1401	NUM
easat-11220	58	10	,	,	PUNCT
easat-11220	58	11	2025	2025	NUM
easat-11220	58	12	doi	doi	NOUN
easat-11220	58	13	:	:	PUNCT
easat-11220	58	14	10.55214/2576	10.55214/2576	NUM
easat-11220	58	15	-	-	SYM
easat-11220	58	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	59	1	©	©	PROPN
easat-11220	59	2	2025	2025	NUM
easat-11220	59	3	by	by	ADP
easat-11220	59	4	the	the	DET
easat-11220	59	5	authors	author	NOUN
easat-11220	59	6	;	;	PUNCT
easat-11220	59	7	licensee	licensee	PROPN
easat-11220	59	8	learning	learning	PROPN
easat-11220	59	9	gate	gate	PROPN
easat-11220	59	10	architectures	architecture	NOUN
easat-11220	59	11	to	to	PART
easat-11220	59	12	bring	bring	VERB
easat-11220	59	13	the	the	DET
easat-11220	59	14	best	good	ADJ
easat-11220	59	15	trade	trade	NOUN
easat-11220	59	16	-	-	PUNCT
easat-11220	59	17	off	off	NOUN
easat-11220	59	18	between	between	ADP
easat-11220	59	19	low	low	ADJ
easat-11220	59	20	model	model	NOUN
easat-11220	59	21	complexity	complexity	NOUN
easat-11220	59	22	and	and	CCONJ
easat-11220	59	23	computational	computational	ADJ
easat-11220	59	24	efficiency	efficiency	NOUN
easat-11220	59	25	,	,	PUNCT
easat-11220	59	26	making	make	VERB
easat-11220	59	27	it	it	PRON
easat-11220	59	28	especially	especially	ADV
easat-11220	59	29	ideal	ideal	ADJ
easat-11220	59	30	for	for	ADP
easat-11220	59	31	real	real	ADJ
easat-11220	59	32	-	-	PUNCT
easat-11220	59	33	world	world	NOUN
easat-11220	59	34	agricultural	agricultural	ADJ
easat-11220	59	35	settings	setting	NOUN
easat-11220	59	36	where	where	SCONJ
easat-11220	59	37	computational	computational	ADJ
easat-11220	59	38	resources	resource	NOUN
easat-11220	59	39	may	may	AUX
easat-11220	59	40	be	be	AUX
easat-11220	59	41	limited	limit	VERB
easat-11220	59	42	.	.	PUNCT
easat-11220	60	1	utilizing	utilize	VERB
easat-11220	60	2	borneonet	borneonet	NOUN
easat-11220	61	1	,	,	PUNCT
easat-11220	61	2	we	we	PRON
easat-11220	61	3	aim	aim	VERB
easat-11220	61	4	to	to	PART
easat-11220	61	5	enhance	enhance	VERB
easat-11220	61	6	the	the	DET
easat-11220	61	7	model	model	NOUN
easat-11220	61	8	's	's	PART
easat-11220	61	9	ability	ability	NOUN
easat-11220	61	10	to	to	PART
easat-11220	61	11	classify	classify	VERB
easat-11220	61	12	ripeness	ripeness	NOUN
easat-11220	61	13	levels	level	NOUN
easat-11220	61	14	accurately	accurately	ADV
easat-11220	61	15	while	while	SCONJ
easat-11220	61	16	reducing	reduce	VERB
easat-11220	61	17	computational	computational	ADJ
easat-11220	61	18	effort	effort	NOUN
easat-11220	61	19	to	to	PART
easat-11220	61	20	enable	enable	VERB
easat-11220	61	21	practical	practical	ADJ
easat-11220	61	22	accessibility	accessibility	NOUN
easat-11220	61	23	for	for	ADP
easat-11220	61	24	use	use	NOUN
easat-11220	61	25	by	by	ADP
easat-11220	61	26	farmers	farmer	NOUN
easat-11220	61	27	.	.	PUNCT
easat-11220	62	1	the	the	DET
easat-11220	62	2	main	main	ADJ
easat-11220	62	3	contributions	contribution	NOUN
easat-11220	62	4	of	of	ADP
easat-11220	62	5	this	this	DET
easat-11220	62	6	study	study	NOUN
easat-11220	62	7	are	be	AUX
easat-11220	62	8	as	as	SCONJ
easat-11220	62	9	follows	follow	VERB
easat-11220	62	10	:	:	PUNCT
easat-11220	62	11	1	1	X
easat-11220	62	12	.	.	X
easat-11220	62	13	proposal	proposal	NOUN
easat-11220	62	14	of	of	ADP
easat-11220	62	15	a	a	DET
easat-11220	62	16	new	new	ADJ
easat-11220	62	17	palm	palm	NOUN
easat-11220	62	18	fruit	fruit	NOUN
easat-11220	62	19	ripeness	ripeness	NOUN
easat-11220	62	20	dataset	dataset	NOUN
easat-11220	62	21	:	:	PUNCT
easat-11220	62	22	the	the	DET
easat-11220	62	23	collection	collection	NOUN
easat-11220	62	24	and	and	CCONJ
easat-11220	62	25	development	development	NOUN
easat-11220	62	26	of	of	ADP
easat-11220	62	27	a	a	DET
easat-11220	62	28	new	new	ADJ
easat-11220	62	29	dataset	dataset	NOUN
easat-11220	62	30	specifically	specifically	ADV
easat-11220	62	31	tailored	tailor	VERB
easat-11220	62	32	for	for	ADP
easat-11220	62	33	the	the	DET
easat-11220	62	34	classification	classification	NOUN
easat-11220	62	35	of	of	ADP
easat-11220	62	36	palm	palm	NOUN
easat-11220	62	37	fruit	fruit	NOUN
easat-11220	62	38	ripeness	ripeness	NOUN
easat-11220	62	39	is	be	AUX
easat-11220	62	40	a	a	DET
easat-11220	62	41	critical	critical	ADJ
easat-11220	62	42	component	component	NOUN
easat-11220	62	43	of	of	ADP
easat-11220	62	44	this	this	DET
easat-11220	62	45	study	study	NOUN
easat-11220	62	46	.	.	PUNCT
easat-11220	63	1	the	the	DET
easat-11220	63	2	dataset	dataset	NOUN
easat-11220	63	3	aims	aim	VERB
easat-11220	63	4	to	to	PART
easat-11220	63	5	capture	capture	VERB
easat-11220	63	6	the	the	DET
easat-11220	63	7	unique	unique	ADJ
easat-11220	63	8	characteristics	characteristic	NOUN
easat-11220	63	9	of	of	ADP
easat-11220	63	10	palm	palm	NOUN
easat-11220	63	11	fruit	fruit	NOUN
easat-11220	63	12	at	at	ADP
easat-11220	63	13	different	different	ADJ
easat-11220	63	14	stages	stage	NOUN
easat-11220	63	15	of	of	ADP
easat-11220	63	16	ripeness	ripeness	NOUN
easat-11220	63	17	to	to	PART
easat-11220	63	18	enhance	enhance	VERB
easat-11220	63	19	classification	classification	NOUN
easat-11220	63	20	accuracy	accuracy	NOUN
easat-11220	63	21	.	.	PUNCT
easat-11220	64	1	2	2	X
easat-11220	64	2	.	.	X
easat-11220	64	3	application	application	NOUN
easat-11220	64	4	of	of	ADP
easat-11220	64	5	borneonet	borneonet	NOUN
easat-11220	64	6	for	for	ADP
easat-11220	64	7	palm	palm	NOUN
easat-11220	64	8	fruit	fruit	NOUN
easat-11220	64	9	ripeness	ripeness	NOUN
easat-11220	64	10	classification	classification	NOUN
easat-11220	64	11	:	:	PUNCT
easat-11220	64	12	the	the	DET
easat-11220	64	13	introduction	introduction	NOUN
easat-11220	64	14	of	of	ADP
easat-11220	64	15	borneonet	borneonet	NOUN
easat-11220	64	16	provides	provide	VERB
easat-11220	64	17	a	a	DET
easat-11220	64	18	novel	novel	ADJ
easat-11220	64	19	and	and	CCONJ
easat-11220	64	20	efficient	efficient	ADJ
easat-11220	64	21	approach	approach	NOUN
easat-11220	64	22	to	to	ADP
easat-11220	64	23	ripeness	ripeness	NOUN
easat-11220	64	24	classification	classification	NOUN
easat-11220	64	25	,	,	PUNCT
easat-11220	64	26	specifically	specifically	ADV
easat-11220	64	27	designed	design	VERB
easat-11220	64	28	to	to	PART
easat-11220	64	29	match	match	VERB
easat-11220	64	30	the	the	DET
easat-11220	64	31	characteristics	characteristic	NOUN
easat-11220	64	32	of	of	ADP
easat-11220	64	33	the	the	DET
easat-11220	64	34	palm	palm	NOUN
easat-11220	64	35	fruit	fruit	NOUN
easat-11220	64	36	dataset	dataset	VERB
easat-11220	64	37	while	while	SCONJ
easat-11220	64	38	maintaining	maintain	VERB
easat-11220	64	39	computational	computational	ADJ
easat-11220	64	40	efficiency	efficiency	NOUN
easat-11220	64	41	.	.	PUNCT
easat-11220	65	1	at	at	ADP
easat-11220	65	2	present	present	ADJ
easat-11220	65	3	,	,	PUNCT
easat-11220	65	4	deep	deep	ADJ
easat-11220	65	5	learning	learning	NOUN
easat-11220	65	6	models	model	NOUN
easat-11220	65	7	,	,	PUNCT
easat-11220	65	8	especially	especially	ADV
easat-11220	65	9	convolutional	convolutional	ADJ
easat-11220	65	10	neural	neural	ADJ
easat-11220	65	11	networks	network	NOUN
easat-11220	65	12	(	(	PUNCT
easat-11220	65	13	cnns	cnns	PROPN
easat-11220	65	14	)	)	PUNCT
easat-11220	65	15	,	,	PUNCT
easat-11220	65	16	are	be	AUX
easat-11220	65	17	quite	quite	ADV
easat-11220	65	18	effective	effective	ADJ
easat-11220	65	19	and	and	CCONJ
easat-11220	65	20	operate	operate	VERB
easat-11220	65	21	with	with	ADP
easat-11220	65	22	high	high	ADJ
easat-11220	65	23	precision	precision	NOUN
easat-11220	65	24	in	in	ADP
easat-11220	65	25	machine	machine	NOUN
easat-11220	65	26	-	-	PUNCT
easat-11220	65	27	processing	processing	NOUN
easat-11220	65	28	tasks	task	NOUN
easat-11220	65	29	,	,	PUNCT
easat-11220	65	30	which	which	PRON
easat-11220	65	31	elicits	elicit	VERB
easat-11220	65	32	the	the	DET
easat-11220	65	33	motivation	motivation	NOUN
easat-11220	65	34	of	of	ADP
easat-11220	65	35	both	both	DET
easat-11220	65	36	industry	industry	NOUN
easat-11220	65	37	and	and	CCONJ
easat-11220	65	38	academic	academic	ADJ
easat-11220	65	39	fields	field	NOUN
easat-11220	65	40	[	[	X
easat-11220	65	41	25	25	NUM
easat-11220	65	42	,	,	PUNCT
easat-11220	65	43	26	26	NUM
easat-11220	65	44	]	]	PUNCT
easat-11220	65	45	.	.	PUNCT
easat-11220	66	1	the	the	DET
easat-11220	66	2	goal	goal	NOUN
easat-11220	66	3	of	of	ADP
easat-11220	66	4	the	the	DET
easat-11220	66	5	study	study	NOUN
easat-11220	66	6	is	be	AUX
easat-11220	66	7	to	to	PART
easat-11220	66	8	take	take	VERB
easat-11220	66	9	advantage	advantage	NOUN
easat-11220	66	10	of	of	ADP
easat-11220	66	11	these	these	DET
easat-11220	66	12	approaches	approach	NOUN
easat-11220	66	13	to	to	PART
easat-11220	66	14	reach	reach	VERB
easat-11220	66	15	a	a	DET
easat-11220	66	16	palm	palm	NOUN
easat-11220	66	17	fruit	fruit	NOUN
easat-11220	66	18	ripeness	ripeness	NOUN
easat-11220	66	19	classification	classification	NOUN
easat-11220	66	20	accuracy	accuracy	NOUN
easat-11220	66	21	higher	high	ADJ
easat-11220	66	22	than	than	ADP
easat-11220	66	23	the	the	DET
easat-11220	66	24	68	68	NUM
easat-11220	66	25	%	%	NOUN
easat-11220	66	26	achieved	achieve	VERB
easat-11220	66	27	in	in	ADP
easat-11220	66	28	our	our	PRON
easat-11220	66	29	previous	previous	ADJ
easat-11220	66	30	work	work	NOUN
easat-11220	66	31	[	[	X
easat-11220	66	32	11	11	NUM
easat-11220	66	33	]	]	PUNCT
easat-11220	66	34	.	.	PUNCT
easat-11220	67	1	here	here	ADV
easat-11220	67	2	,	,	PUNCT
easat-11220	67	3	the	the	DET
easat-11220	67	4	architecture	architecture	NOUN
easat-11220	67	5	of	of	ADP
easat-11220	67	6	borneonet	borneonet	NOUN
easat-11220	67	7	not	not	PART
easat-11220	67	8	only	only	ADV
easat-11220	67	9	achieves	achieve	VERB
easat-11220	67	10	higher	high	ADJ
easat-11220	67	11	accuracy	accuracy	NOUN
easat-11220	67	12	but	but	CCONJ
easat-11220	67	13	also	also	ADV
easat-11220	67	14	facilitates	facilitate	VERB
easat-11220	67	15	a	a	DET
easat-11220	67	16	lightweight	lightweight	ADJ
easat-11220	67	17	,	,	PUNCT
easat-11220	67	18	straightforward	straightforward	ADJ
easat-11220	67	19	,	,	PUNCT
easat-11220	67	20	and	and	CCONJ
easat-11220	67	21	relevant	relevant	ADJ
easat-11220	67	22	solution	solution	NOUN
easat-11220	67	23	that	that	PRON
easat-11220	67	24	could	could	AUX
easat-11220	67	25	potentially	potentially	ADV
easat-11220	67	26	be	be	AUX
easat-11220	67	27	easily	easily	ADV
easat-11220	67	28	deployable	deployable	ADJ
easat-11220	67	29	by	by	ADP
easat-11220	67	30	local	local	ADJ
easat-11220	67	31	farmers	farmer	NOUN
easat-11220	67	32	.	.	PUNCT
easat-11220	68	1	in	in	ADP
easat-11220	68	2	conclusion	conclusion	NOUN
easat-11220	68	3	,	,	PUNCT
easat-11220	68	4	this	this	DET
easat-11220	68	5	study	study	NOUN
easat-11220	68	6	presents	present	VERB
easat-11220	68	7	an	an	DET
easat-11220	68	8	innovative	innovative	ADJ
easat-11220	68	9	approach	approach	NOUN
easat-11220	68	10	for	for	ADP
easat-11220	68	11	classifying	classify	VERB
easat-11220	68	12	palm	palm	NOUN
easat-11220	68	13	fruit	fruit	NOUN
easat-11220	68	14	ripeness	ripeness	NOUN
easat-11220	68	15	using	use	VERB
easat-11220	68	16	a	a	DET
easat-11220	68	17	novel	novel	ADJ
easat-11220	68	18	dataset	dataset	NOUN
easat-11220	68	19	and	and	CCONJ
easat-11220	68	20	borneonet	borneonet	NOUN
easat-11220	68	21	.	.	PUNCT
easat-11220	69	1	by	by	ADP
easat-11220	69	2	optimizing	optimize	VERB
easat-11220	69	3	the	the	DET
easat-11220	69	4	model	model	NOUN
easat-11220	69	5	architecture	architecture	NOUN
easat-11220	69	6	and	and	CCONJ
easat-11220	69	7	employing	employ	VERB
easat-11220	69	8	data	datum	NOUN
easat-11220	69	9	augmentation	augmentation	NOUN
easat-11220	69	10	,	,	PUNCT
easat-11220	69	11	we	we	PRON
easat-11220	69	12	aim	aim	VERB
easat-11220	69	13	to	to	PART
easat-11220	69	14	achieve	achieve	VERB
easat-11220	69	15	significant	significant	ADJ
easat-11220	69	16	improvements	improvement	NOUN
easat-11220	69	17	in	in	ADP
easat-11220	69	18	classification	classification	NOUN
easat-11220	69	19	accuracy	accuracy	NOUN
easat-11220	69	20	,	,	PUNCT
easat-11220	69	21	which	which	PRON
easat-11220	69	22	will	will	AUX
easat-11220	69	23	ultimately	ultimately	ADV
easat-11220	69	24	benefit	benefit	VERB
easat-11220	69	25	the	the	DET
easat-11220	69	26	palm	palm	NOUN
easat-11220	69	27	oil	oil	NOUN
easat-11220	69	28	industry	industry	NOUN
easat-11220	69	29	by	by	ADP
easat-11220	69	30	providing	provide	VERB
easat-11220	69	31	farmers	farmer	NOUN
easat-11220	69	32	with	with	ADP
easat-11220	69	33	an	an	DET
easat-11220	69	34	effective	effective	ADJ
easat-11220	69	35	tool	tool	NOUN
easat-11220	69	36	for	for	ADP
easat-11220	69	37	precision	precision	NOUN
easat-11220	69	38	agriculture	agriculture	NOUN
easat-11220	69	39	.	.	PUNCT
easat-11220	70	1	the	the	DET
easat-11220	70	2	successful	successful	ADJ
easat-11220	70	3	implementation	implementation	NOUN
easat-11220	70	4	of	of	ADP
easat-11220	70	5	this	this	DET
easat-11220	70	6	technology	technology	NOUN
easat-11220	70	7	in	in	ADP
easat-11220	70	8	east	east	PROPN
easat-11220	70	9	kotawaringin	kotawaringin	NOUN
easat-11220	70	10	will	will	AUX
easat-11220	70	11	serve	serve	VERB
easat-11220	70	12	as	as	ADP
easat-11220	70	13	a	a	DET
easat-11220	70	14	model	model	NOUN
easat-11220	70	15	for	for	ADP
easat-11220	70	16	similar	similar	ADJ
easat-11220	70	17	agricultural	agricultural	ADJ
easat-11220	70	18	applications	application	NOUN
easat-11220	70	19	,	,	PUNCT
easat-11220	70	20	potentially	potentially	ADV
easat-11220	70	21	transforming	transform	VERB
easat-11220	70	22	how	how	SCONJ
easat-11220	70	23	farmers	farmer	NOUN
easat-11220	70	24	determine	determine	VERB
easat-11220	70	25	optimal	optimal	ADJ
easat-11220	70	26	harvest	harvest	NOUN
easat-11220	70	27	times	time	NOUN
easat-11220	70	28	and	and	CCONJ
easat-11220	70	29	contributing	contribute	VERB
easat-11220	70	30	to	to	ADP
easat-11220	70	31	sustainable	sustainable	ADJ
easat-11220	70	32	agricultural	agricultural	ADJ
easat-11220	70	33	practices	practice	NOUN
easat-11220	70	34	.	.	PUNCT
easat-11220	71	1	2	2	X
easat-11220	71	2	.	.	X
easat-11220	71	3	materials	material	NOUN
easat-11220	71	4	and	and	CCONJ
easat-11220	71	5	methods	method	NOUN
easat-11220	71	6	figure	figure	VERB
easat-11220	71	7	1	1	NUM
easat-11220	71	8	illustrates	illustrate	VERB
easat-11220	71	9	the	the	DET
easat-11220	71	10	research	research	NOUN
easat-11220	71	11	workflow	workflow	NOUN
easat-11220	71	12	designed	design	VERB
easat-11220	71	13	to	to	PART
easat-11220	71	14	address	address	VERB
easat-11220	71	15	the	the	DET
easat-11220	71	16	challenges	challenge	NOUN
easat-11220	71	17	of	of	ADP
easat-11220	71	18	classifying	classify	VERB
easat-11220	71	19	oil	oil	NOUN
easat-11220	71	20	palm	palm	NOUN
easat-11220	71	21	fruit	fruit	NOUN
easat-11220	71	22	ripeness	ripeness	NOUN
easat-11220	71	23	levels	level	NOUN
easat-11220	71	24	.	.	PUNCT
easat-11220	72	1	the	the	DET
easat-11220	72	2	process	process	NOUN
easat-11220	72	3	begins	begin	VERB
easat-11220	72	4	with	with	ADP
easat-11220	72	5	the	the	DET
easat-11220	72	6	palm	palm	NOUN
easat-11220	72	7	oil	oil	NOUN
easat-11220	72	8	fruit	fruit	NOUN
easat-11220	72	9	data	datum	NOUN
easat-11220	72	10	acquisition	acquisition	NOUN
easat-11220	72	11	stage	stage	NOUN
easat-11220	72	12	,	,	PUNCT
easat-11220	72	13	which	which	PRON
easat-11220	72	14	focuses	focus	VERB
easat-11220	72	15	on	on	ADP
easat-11220	72	16	collecting	collect	VERB
easat-11220	72	17	fruit	fruit	NOUN
easat-11220	72	18	images	image	NOUN
easat-11220	72	19	under	under	ADP
easat-11220	72	20	various	various	ADJ
easat-11220	72	21	environmental	environmental	ADJ
easat-11220	72	22	conditions	condition	NOUN
easat-11220	72	23	.	.	PUNCT
easat-11220	73	1	each	each	DET
easat-11220	73	2	image	image	NOUN
easat-11220	73	3	is	be	AUX
easat-11220	73	4	categorized	categorize	VERB
easat-11220	73	5	into	into	ADP
easat-11220	73	6	three	three	NUM
easat-11220	73	7	primary	primary	ADJ
easat-11220	73	8	classes	class	NOUN
easat-11220	73	9	:	:	PUNCT
easat-11220	73	10	unripe	unripe	NOUN
easat-11220	73	11	,	,	PUNCT
easat-11220	73	12	half	half	ADJ
easat-11220	73	13	-	-	PUNCT
easat-11220	73	14	ripe	ripe	ADJ
easat-11220	73	15	,	,	PUNCT
easat-11220	73	16	and	and	CCONJ
easat-11220	73	17	ripe	ripe	ADJ
easat-11220	73	18	palm	palm	NOUN
easat-11220	73	19	fruit	fruit	NOUN
easat-11220	73	20	.	.	PUNCT
easat-11220	74	1	this	this	DET
easat-11220	74	2	categorization	categorization	NOUN
easat-11220	74	3	forms	form	VERB
easat-11220	74	4	a	a	DET
easat-11220	74	5	crucial	crucial	ADJ
easat-11220	74	6	foundation	foundation	NOUN
easat-11220	74	7	for	for	ADP
easat-11220	74	8	developing	develop	VERB
easat-11220	74	9	an	an	DET
easat-11220	74	10	accurate	accurate	ADJ
easat-11220	74	11	classification	classification	NOUN
easat-11220	74	12	system	system	NOUN
easat-11220	74	13	,	,	PUNCT
easat-11220	74	14	as	as	SCONJ
easat-11220	74	15	each	each	DET
easat-11220	74	16	class	class	NOUN
easat-11220	74	17	exhibits	exhibit	VERB
easat-11220	74	18	distinct	distinct	ADJ
easat-11220	74	19	visual	visual	ADJ
easat-11220	74	20	characteristics	characteristic	NOUN
easat-11220	74	21	in	in	ADP
easat-11220	74	22	terms	term	NOUN
easat-11220	74	23	of	of	ADP
easat-11220	74	24	color	color	NOUN
easat-11220	74	25	,	,	PUNCT
easat-11220	74	26	texture	texture	NOUN
easat-11220	74	27	,	,	PUNCT
easat-11220	74	28	and	and	CCONJ
easat-11220	74	29	shape	shape	NOUN
easat-11220	74	30	.	.	PUNCT
easat-11220	75	1	1392	1392	NUM
easat-11220	75	2	edelweiss	edelweiss	PROPN
easat-11220	75	3	applied	apply	VERB
easat-11220	75	4	science	science	NOUN
easat-11220	75	5	and	and	CCONJ
easat-11220	75	6	technology	technology	NOUN
easat-11220	75	7	issn	issn	PROPN
easat-11220	75	8	:	:	PUNCT
easat-11220	75	9	2576	2576	NUM
easat-11220	75	10	-	-	SYM
easat-11220	75	11	8484	8484	NUM
easat-11220	75	12	vol	vol	NOUN
easat-11220	75	13	.	.	PROPN
easat-11220	76	1	9	9	NUM
easat-11220	76	2	,	,	PUNCT
easat-11220	76	3	no	no	INTJ
easat-11220	76	4	.	.	NOUN
easat-11220	76	5	11	11	NUM
easat-11220	76	6	:	:	PUNCT
easat-11220	76	7	1389	1389	NUM
easat-11220	76	8	-	-	SYM
easat-11220	76	9	1401	1401	NUM
easat-11220	76	10	,	,	PUNCT
easat-11220	76	11	2025	2025	NUM
easat-11220	76	12	doi	doi	NOUN
easat-11220	76	13	:	:	PUNCT
easat-11220	76	14	10.55214/2576	10.55214/2576	NUM
easat-11220	76	15	-	-	SYM
easat-11220	76	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	77	1	©	©	PROPN
easat-11220	77	2	2025	2025	NUM
easat-11220	77	3	by	by	ADP
easat-11220	77	4	the	the	DET
easat-11220	77	5	authors	author	NOUN
easat-11220	77	6	;	;	PUNCT
easat-11220	77	7	licensee	licensee	PROPN
easat-11220	77	8	learning	learn	VERB
easat-11220	77	9	gate	gate	NOUN
easat-11220	77	10	figure	figure	NOUN
easat-11220	77	11	1	1	NUM
easat-11220	77	12	.	.	PUNCT
easat-11220	77	13	palm	palm	NOUN
easat-11220	77	14	fruit	fruit	NOUN
easat-11220	77	15	ripeness	ripeness	NOUN
easat-11220	77	16	classification	classification	NOUN
easat-11220	77	17	pipeline	pipeline	NOUN
easat-11220	77	18	.	.	PUNCT
easat-11220	78	1	following	follow	VERB
easat-11220	78	2	the	the	DET
easat-11220	78	3	data	data	NOUN
easat-11220	78	4	acquisition	acquisition	NOUN
easat-11220	78	5	phase	phase	NOUN
easat-11220	78	6	,	,	PUNCT
easat-11220	78	7	the	the	DET
easat-11220	78	8	next	next	ADJ
easat-11220	78	9	stage	stage	NOUN
easat-11220	78	10	involves	involve	VERB
easat-11220	78	11	data	datum	NOUN
easat-11220	78	12	preprocessing	preprocessing	NOUN
easat-11220	78	13	,	,	PUNCT
easat-11220	78	14	which	which	PRON
easat-11220	78	15	includes	include	VERB
easat-11220	78	16	image	image	NOUN
easat-11220	78	17	size	size	NOUN
easat-11220	78	18	normalization	normalization	NOUN
easat-11220	78	19	,	,	PUNCT
easat-11220	78	20	quality	quality	NOUN
easat-11220	78	21	enhancement	enhancement	NOUN
easat-11220	78	22	,	,	PUNCT
easat-11220	78	23	and	and	CCONJ
easat-11220	78	24	data	datum	NOUN
easat-11220	78	25	augmentation	augmentation	NOUN
easat-11220	78	26	to	to	PART
easat-11220	78	27	expand	expand	VERB
easat-11220	78	28	dataset	dataset	ADJ
easat-11220	78	29	diversity	diversity	NOUN
easat-11220	78	30	.	.	PUNCT
easat-11220	79	1	these	these	DET
easat-11220	79	2	steps	step	NOUN
easat-11220	79	3	are	be	AUX
easat-11220	79	4	essential	essential	ADJ
easat-11220	79	5	to	to	PART
easat-11220	79	6	reduce	reduce	VERB
easat-11220	79	7	noise	noise	NOUN
easat-11220	79	8	and	and	CCONJ
easat-11220	79	9	ensure	ensure	VERB
easat-11220	79	10	optimal	optimal	ADJ
easat-11220	79	11	performance	performance	NOUN
easat-11220	79	12	of	of	ADP
easat-11220	79	13	the	the	DET
easat-11220	79	14	deep	deep	ADJ
easat-11220	79	15	learning	learning	NOUN
easat-11220	79	16	model	model	NOUN
easat-11220	79	17	.	.	PUNCT
easat-11220	80	1	subsequently	subsequently	ADV
easat-11220	80	2	,	,	PUNCT
easat-11220	80	3	the	the	DET
easat-11220	80	4	borneonet	borneonet	NOUN
easat-11220	80	5	architecture	architecture	NOUN
easat-11220	80	6	design	design	NOUN
easat-11220	80	7	is	be	AUX
easat-11220	80	8	developed	develop	VERB
easat-11220	80	9	as	as	ADP
easat-11220	80	10	a	a	DET
easat-11220	80	11	convolutional	convolutional	ADJ
easat-11220	80	12	model	model	NOUN
easat-11220	80	13	specifically	specifically	ADV
easat-11220	80	14	designed	design	VERB
easat-11220	80	15	to	to	PART
easat-11220	80	16	detect	detect	VERB
easat-11220	80	17	and	and	CCONJ
easat-11220	80	18	differentiate	differentiate	VERB
easat-11220	80	19	ripeness	ripeness	NOUN
easat-11220	80	20	levels	level	NOUN
easat-11220	80	21	of	of	ADP
easat-11220	80	22	palm	palm	NOUN
easat-11220	80	23	fruits	fruit	NOUN
easat-11220	80	24	based	base	VERB
easat-11220	80	25	on	on	ADP
easat-11220	80	26	visual	visual	ADJ
easat-11220	80	27	patterns	pattern	NOUN
easat-11220	80	28	.	.	PUNCT
easat-11220	81	1	the	the	DET
easat-11220	81	2	architecture	architecture	NOUN
easat-11220	81	3	structure	structure	NOUN
easat-11220	81	4	is	be	AUX
easat-11220	81	5	tailored	tailor	VERB
easat-11220	81	6	to	to	ADP
easat-11220	81	7	the	the	DET
easat-11220	81	8	dataset	dataset	NOUN
easat-11220	81	9	’s	’s	PART
easat-11220	81	10	complexity	complexity	NOUN
easat-11220	81	11	and	and	CCONJ
easat-11220	81	12	the	the	DET
easat-11220	81	13	intended	intend	VERB
easat-11220	81	14	classification	classification	NOUN
easat-11220	81	15	objectives	objective	NOUN
easat-11220	81	16	.	.	PUNCT
easat-11220	82	1	the	the	DET
easat-11220	82	2	subsequent	subsequent	ADJ
easat-11220	82	3	stage	stage	NOUN
easat-11220	82	4	involves	involve	VERB
easat-11220	82	5	borneonet	borneonet	NOUN
easat-11220	82	6	training	training	NOUN
easat-11220	82	7	,	,	PUNCT
easat-11220	82	8	where	where	SCONJ
easat-11220	82	9	the	the	DET
easat-11220	82	10	model	model	NOUN
easat-11220	82	11	is	be	AUX
easat-11220	82	12	trained	train	VERB
easat-11220	82	13	using	use	VERB
easat-11220	82	14	preprocessed	preprocesse	VERB
easat-11220	82	15	data	datum	NOUN
easat-11220	82	16	to	to	PART
easat-11220	82	17	learn	learn	VERB
easat-11220	82	18	the	the	DET
easat-11220	82	19	essential	essential	ADJ
easat-11220	82	20	features	feature	NOUN
easat-11220	82	21	of	of	ADP
easat-11220	82	22	each	each	DET
easat-11220	82	23	fruit	fruit	NOUN
easat-11220	82	24	category	category	NOUN
easat-11220	82	25	.	.	PUNCT
easat-11220	83	1	once	once	SCONJ
easat-11220	83	2	training	training	NOUN
easat-11220	83	3	is	be	AUX
easat-11220	83	4	completed	complete	VERB
easat-11220	83	5	,	,	PUNCT
easat-11220	83	6	the	the	DET
easat-11220	83	7	validation	validation	NOUN
easat-11220	83	8	and	and	CCONJ
easat-11220	83	9	evaluation	evaluation	NOUN
easat-11220	83	10	process	process	NOUN
easat-11220	83	11	is	be	AUX
easat-11220	83	12	conducted	conduct	VERB
easat-11220	83	13	to	to	PART
easat-11220	83	14	assess	assess	VERB
easat-11220	83	15	the	the	DET
easat-11220	83	16	model	model	NOUN
easat-11220	83	17	's	's	PART
easat-11220	83	18	performance	performance	NOUN
easat-11220	83	19	using	use	VERB
easat-11220	83	20	metrics	metric	NOUN
easat-11220	83	21	such	such	ADJ
easat-11220	83	22	as	as	ADP
easat-11220	83	23	accuracy	accuracy	NOUN
easat-11220	83	24	,	,	PUNCT
easat-11220	83	25	precision	precision	NOUN
easat-11220	83	26	,	,	PUNCT
easat-11220	83	27	and	and	CCONJ
easat-11220	83	28	f1	f1	NOUN
easat-11220	83	29	-	-	PUNCT
easat-11220	83	30	score	score	NOUN
easat-11220	83	31	.	.	PUNCT
easat-11220	84	1	the	the	DET
easat-11220	84	2	evaluation	evaluation	NOUN
easat-11220	84	3	outcomes	outcome	NOUN
easat-11220	84	4	serve	serve	VERB
easat-11220	84	5	as	as	ADP
easat-11220	84	6	a	a	DET
easat-11220	84	7	basis	basis	NOUN
easat-11220	84	8	for	for	ADP
easat-11220	84	9	determining	determine	VERB
easat-11220	84	10	the	the	DET
easat-11220	84	11	system	system	NOUN
easat-11220	84	12	’s	’s	PART
easat-11220	84	13	effectiveness	effectiveness	NOUN
easat-11220	84	14	and	and	CCONJ
easat-11220	84	15	its	its	PRON
easat-11220	84	16	potential	potential	ADJ
easat-11220	84	17	real	real	ADJ
easat-11220	84	18	-	-	PUNCT
easat-11220	84	19	world	world	NOUN
easat-11220	84	20	application	application	NOUN
easat-11220	84	21	.	.	PUNCT
easat-11220	85	1	overall	overall	ADV
easat-11220	85	2	,	,	PUNCT
easat-11220	85	3	the	the	DET
easat-11220	85	4	process	process	NOUN
easat-11220	85	5	depicted	depict	VERB
easat-11220	85	6	in	in	ADP
easat-11220	85	7	the	the	DET
easat-11220	85	8	diagram	diagram	NOUN
easat-11220	85	9	ensures	ensure	VERB
easat-11220	85	10	that	that	SCONJ
easat-11220	85	11	every	every	DET
easat-11220	85	12	aspect	aspect	NOUN
easat-11220	85	13	of	of	ADP
easat-11220	85	14	the	the	DET
easat-11220	85	15	study	study	NOUN
easat-11220	85	16	is	be	AUX
easat-11220	85	17	conducted	conduct	VERB
easat-11220	85	18	systematically	systematically	ADV
easat-11220	85	19	,	,	PUNCT
easat-11220	85	20	resulting	result	VERB
easat-11220	85	21	in	in	ADP
easat-11220	85	22	a	a	DET
easat-11220	85	23	reliable	reliable	ADJ
easat-11220	85	24	and	and	CCONJ
easat-11220	85	25	wellvalidated	wellvalidated	ADJ
easat-11220	85	26	predictive	predictive	ADJ
easat-11220	85	27	model	model	NOUN
easat-11220	85	28	.	.	PUNCT
easat-11220	86	1	2.1	2.1	NUM
easat-11220	86	2	.	.	PUNCT
easat-11220	86	3	dataset	dataset	VERB
easat-11220	86	4	the	the	DET
easat-11220	86	5	dataset	dataset	NOUN
easat-11220	86	6	in	in	ADP
easat-11220	86	7	our	our	PRON
easat-11220	86	8	research	research	NOUN
easat-11220	86	9	consisted	consist	VERB
easat-11220	86	10	of	of	ADP
easat-11220	86	11	images	image	NOUN
easat-11220	86	12	classified	classify	VERB
easat-11220	86	13	into	into	ADP
easat-11220	86	14	three	three	NUM
easat-11220	86	15	categories	category	NOUN
easat-11220	86	16	:	:	PUNCT
easat-11220	86	17	ripe	ripe	ADJ
easat-11220	86	18	palm	palm	NOUN
easat-11220	86	19	fruit	fruit	NOUN
easat-11220	86	20	,	,	PUNCT
easat-11220	86	21	halfripe	halfripe	NOUN
easat-11220	86	22	palm	palm	NOUN
easat-11220	86	23	fruit	fruit	NOUN
easat-11220	86	24	,	,	PUNCT
easat-11220	86	25	and	and	CCONJ
easat-11220	86	26	unripe	unripe	NOUN
easat-11220	86	27	palm	palm	NOUN
easat-11220	86	28	fruit	fruit	NOUN
easat-11220	86	29	.	.	PUNCT
easat-11220	87	1	each	each	DET
easat-11220	87	2	category	category	NOUN
easat-11220	87	3	contains	contain	VERB
easat-11220	87	4	a	a	DET
easat-11220	87	5	representative	representative	ADJ
easat-11220	87	6	set	set	NOUN
easat-11220	87	7	of	of	ADP
easat-11220	87	8	images	image	NOUN
easat-11220	87	9	that	that	PRON
easat-11220	87	10	capture	capture	VERB
easat-11220	87	11	variations	variation	NOUN
easat-11220	87	12	in	in	ADP
easat-11220	87	13	the	the	DET
easat-11220	87	14	color	color	NOUN
easat-11220	87	15	,	,	PUNCT
easat-11220	87	16	texture	texture	NOUN
easat-11220	87	17	,	,	PUNCT
easat-11220	87	18	and	and	CCONJ
easat-11220	87	19	shape	shape	NOUN
easat-11220	87	20	of	of	ADP
easat-11220	87	21	the	the	DET
easat-11220	87	22	oil	oil	NOUN
easat-11220	87	23	palm	palm	NOUN
easat-11220	87	24	.	.	PUNCT
easat-11220	88	1	the	the	DET
easat-11220	88	2	dataset	dataset	NOUN
easat-11220	88	3	consisted	consist	VERB
easat-11220	88	4	of	of	ADP
easat-11220	88	5	254	254	NUM
easat-11220	88	6	samples	sample	NOUN
easat-11220	88	7	(	(	PUNCT
easat-11220	88	8	91	91	NUM
easat-11220	88	9	ripe	ripe	ADJ
easat-11220	88	10	,	,	PUNCT
easat-11220	88	11	72	72	NUM
easat-11220	88	12	half	half	ADJ
easat-11220	88	13	-	-	PUNCT
easat-11220	88	14	ripe	ripe	ADJ
easat-11220	88	15	,	,	PUNCT
easat-11220	88	16	and	and	CCONJ
easat-11220	88	17	91	91	NUM
easat-11220	88	18	unripe	unripe	NOUN
easat-11220	88	19	)	)	PUNCT
easat-11220	88	20	.	.	PUNCT
easat-11220	89	1	the	the	DET
easat-11220	89	2	data	data	NOUN
easat-11220	89	3	collection	collection	NOUN
easat-11220	89	4	involved	involve	VERB
easat-11220	89	5	capturing	capture	VERB
easat-11220	89	6	images	image	NOUN
easat-11220	89	7	from	from	ADP
easat-11220	89	8	various	various	ADJ
easat-11220	89	9	angles	angle	NOUN
easat-11220	89	10	and	and	CCONJ
easat-11220	89	11	lighting	lighting	NOUN
easat-11220	89	12	conditions	condition	NOUN
easat-11220	89	13	to	to	PART
easat-11220	89	14	ensure	ensure	VERB
easat-11220	89	15	diversity	diversity	NOUN
easat-11220	89	16	within	within	ADP
easat-11220	89	17	the	the	DET
easat-11220	89	18	dataset	dataset	NOUN
easat-11220	89	19	.	.	PUNCT
easat-11220	90	1	these	these	DET
easat-11220	90	2	images	image	NOUN
easat-11220	90	3	were	be	AUX
easat-11220	90	4	used	use	VERB
easat-11220	90	5	to	to	PART
easat-11220	90	6	train	train	VERB
easat-11220	90	7	a	a	DET
easat-11220	90	8	cnn	cnn	PROPN
easat-11220	90	9	model	model	NOUN
easat-11220	90	10	for	for	ADP
easat-11220	90	11	classifying	classify	VERB
easat-11220	90	12	the	the	DET
easat-11220	90	13	ripeness	ripeness	NOUN
easat-11220	90	14	of	of	ADP
easat-11220	90	15	oil	oil	NOUN
easat-11220	90	16	palm	palm	NOUN
easat-11220	90	17	fruits	fruit	NOUN
easat-11220	90	18	.	.	PUNCT
easat-11220	91	1	each	each	DET
easat-11220	91	2	image	image	NOUN
easat-11220	91	3	in	in	ADP
easat-11220	91	4	the	the	DET
easat-11220	91	5	dataset	dataset	ADJ
easat-11220	91	6	underwent	underwent	NOUN
easat-11220	91	7	preprocessing	preprocessing	NOUN
easat-11220	91	8	to	to	PART
easat-11220	91	9	improve	improve	VERB
easat-11220	91	10	quality	quality	NOUN
easat-11220	91	11	and	and	CCONJ
easat-11220	91	12	consistency	consistency	NOUN
easat-11220	91	13	.	.	PUNCT
easat-11220	92	1	using	use	VERB
easat-11220	92	2	a	a	DET
easat-11220	92	3	well	well	ADV
easat-11220	92	4	-	-	PUNCT
easat-11220	92	5	structured	structure	VERB
easat-11220	92	6	dataset	dataset	NOUN
easat-11220	92	7	,	,	PUNCT
easat-11220	92	8	we	we	PRON
easat-11220	92	9	aimed	aim	VERB
easat-11220	92	10	to	to	PART
easat-11220	92	11	achieve	achieve	VERB
easat-11220	92	12	a	a	DET
easat-11220	92	13	higher	high	ADJ
easat-11220	92	14	level	level	NOUN
easat-11220	92	15	1393	1393	NUM
easat-11220	92	16	edelweiss	edelweiss	PROPN
easat-11220	92	17	applied	apply	VERB
easat-11220	92	18	science	science	NOUN
easat-11220	92	19	and	and	CCONJ
easat-11220	92	20	technology	technology	NOUN
easat-11220	92	21	issn	issn	PROPN
easat-11220	92	22	:	:	PUNCT
easat-11220	92	23	2576	2576	NUM
easat-11220	92	24	-	-	SYM
easat-11220	92	25	8484	8484	NUM
easat-11220	92	26	vol	vol	NOUN
easat-11220	92	27	.	.	PROPN
easat-11220	93	1	9	9	NUM
easat-11220	93	2	,	,	PUNCT
easat-11220	93	3	no	no	INTJ
easat-11220	93	4	.	.	NOUN
easat-11220	93	5	11	11	NUM
easat-11220	93	6	:	:	PUNCT
easat-11220	93	7	1389	1389	NUM
easat-11220	93	8	-	-	SYM
easat-11220	93	9	1401	1401	NUM
easat-11220	93	10	,	,	PUNCT
easat-11220	93	11	2025	2025	NUM
easat-11220	93	12	doi	doi	NOUN
easat-11220	93	13	:	:	PUNCT
easat-11220	93	14	10.55214/2576	10.55214/2576	NUM
easat-11220	93	15	-	-	SYM
easat-11220	93	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	94	1	©	©	PROPN
easat-11220	94	2	2025	2025	NUM
easat-11220	94	3	by	by	ADP
easat-11220	94	4	the	the	DET
easat-11220	94	5	authors	author	NOUN
easat-11220	94	6	;	;	PUNCT
easat-11220	94	7	licensee	licensee	PROPN
easat-11220	94	8	learning	learn	VERB
easat-11220	94	9	gate	gate	NOUN
easat-11220	94	10	of	of	ADP
easat-11220	94	11	accuracy	accuracy	NOUN
easat-11220	94	12	,	,	PUNCT
easat-11220	94	13	surpassing	surpass	VERB
easat-11220	94	14	previous	previous	ADJ
easat-11220	94	15	research	research	NOUN
easat-11220	94	16	on	on	ADP
easat-11220	94	17	classification	classification	NOUN
easat-11220	94	18	tasks	task	NOUN
easat-11220	94	19	.	.	PUNCT
easat-11220	95	1	our	our	PRON
easat-11220	95	2	dataset	dataset	NOUN
easat-11220	95	3	can	can	AUX
easat-11220	95	4	be	be	AUX
easat-11220	95	5	downloaded	download	VERB
easat-11220	95	6	from	from	ADP
easat-11220	95	7	this	this	DET
easat-11220	95	8	link	link	NOUN
easat-11220	95	9	:	:	PUNCT
easat-11220	95	10	https://data.mendeley.com/datasets/zrcf6v69y8/1	https://data.mendeley.com/datasets/zrcf6v69y8/1	PROPN
easat-11220	95	11	.	.	PUNCT
easat-11220	96	1	(	(	PUNCT
easat-11220	96	2	a	a	X
easat-11220	96	3	)	)	PUNCT
easat-11220	96	4	(	(	PUNCT
easat-11220	96	5	b	b	X
easat-11220	96	6	)	)	PUNCT
easat-11220	96	7	(	(	PUNCT
easat-11220	96	8	c	c	X
easat-11220	96	9	)	)	PUNCT
easat-11220	96	10	figure	figure	NOUN
easat-11220	96	11	2	2	NUM
easat-11220	96	12	.	.	PUNCT
easat-11220	97	1	the	the	DET
easat-11220	97	2	sample	sample	NOUN
easat-11220	97	3	dataset	dataset	NOUN
easat-11220	97	4	of	of	ADP
easat-11220	97	5	palm	palm	NOUN
easat-11220	97	6	fruits	fruit	NOUN
easat-11220	97	7	was	be	AUX
easat-11220	97	8	categorized	categorize	VERB
easat-11220	97	9	as	as	ADP
easat-11220	97	10	(	(	PUNCT
easat-11220	97	11	a	a	PRON
easat-11220	97	12	)	)	PUNCT
easat-11220	97	13	ripe	ripe	NOUN
easat-11220	97	14	,	,	PUNCT
easat-11220	97	15	(	(	PUNCT
easat-11220	97	16	b	b	X
easat-11220	97	17	)	)	PUNCT
easat-11220	97	18	half	half	NOUN
easat-11220	97	19	ripe	ripe	ADJ
easat-11220	97	20	,	,	PUNCT
easat-11220	97	21	and	and	CCONJ
easat-11220	97	22	(	(	PUNCT
easat-11220	97	23	c	c	NOUN
easat-11220	97	24	)	)	PUNCT
easat-11220	97	25	unripe	unripe	NOUN
easat-11220	97	26	.	.	PUNCT
easat-11220	98	1	figure	figure	NOUN
easat-11220	98	2	2(a	2(a	NUM
easat-11220	98	3	)	)	PUNCT
easat-11220	98	4	presents	present	VERB
easat-11220	98	5	a	a	DET
easat-11220	98	6	ripe	ripe	ADJ
easat-11220	98	7	oil	oil	NOUN
easat-11220	98	8	palm	palm	NOUN
easat-11220	98	9	fruit	fruit	NOUN
easat-11220	98	10	characterized	characterize	VERB
easat-11220	98	11	by	by	ADP
easat-11220	98	12	bright	bright	ADJ
easat-11220	98	13	red	red	ADJ
easat-11220	98	14	and	and	CCONJ
easat-11220	98	15	orange	orange	NOUN
easat-11220	98	16	colors	color	NOUN
easat-11220	98	17	,	,	PUNCT
easat-11220	98	18	indicating	indicate	VERB
easat-11220	98	19	that	that	SCONJ
easat-11220	98	20	the	the	DET
easat-11220	98	21	fruit	fruit	NOUN
easat-11220	98	22	is	be	AUX
easat-11220	98	23	ready	ready	ADJ
easat-11220	98	24	for	for	ADP
easat-11220	98	25	harvest	harvest	NOUN
easat-11220	98	26	and	and	CCONJ
easat-11220	98	27	is	be	AUX
easat-11220	98	28	optimal	optimal	ADJ
easat-11220	98	29	for	for	ADP
easat-11220	98	30	oil	oil	NOUN
easat-11220	98	31	extraction	extraction	NOUN
easat-11220	98	32	.	.	PUNCT
easat-11220	99	1	figure	figure	NOUN
easat-11220	99	2	2(b	2(b	NUM
easat-11220	99	3	)	)	PUNCT
easat-11220	99	4	depicts	depict	VERB
easat-11220	99	5	a	a	DET
easat-11220	99	6	semi	semi	ADJ
easat-11220	99	7	-	-	ADJ
easat-11220	99	8	ripe	ripe	ADJ
easat-11220	99	9	oil	oil	NOUN
easat-11220	99	10	palm	palm	NOUN
easat-11220	99	11	fruit	fruit	NOUN
easat-11220	99	12	with	with	ADP
easat-11220	99	13	darker	dark	ADJ
easat-11220	99	14	shades	shade	NOUN
easat-11220	99	15	,	,	PUNCT
easat-11220	99	16	ranging	range	VERB
easat-11220	99	17	from	from	ADP
easat-11220	99	18	reddish	reddish	ADJ
easat-11220	99	19	-	-	PUNCT
easat-11220	99	20	brown	brown	NOUN
easat-11220	99	21	to	to	ADP
easat-11220	99	22	deep	deep	ADJ
easat-11220	99	23	purple	purple	NOUN
easat-11220	99	24	,	,	PUNCT
easat-11220	99	25	suggesting	suggest	VERB
easat-11220	99	26	that	that	SCONJ
easat-11220	99	27	the	the	DET
easat-11220	99	28	fruit	fruit	NOUN
easat-11220	99	29	is	be	AUX
easat-11220	99	30	partially	partially	ADV
easat-11220	99	31	mature	mature	ADJ
easat-11220	99	32	but	but	CCONJ
easat-11220	99	33	not	not	PART
easat-11220	99	34	yet	yet	ADV
easat-11220	99	35	ideal	ideal	ADJ
easat-11220	99	36	for	for	ADP
easat-11220	99	37	harvest	harvest	NOUN
easat-11220	99	38	.	.	PUNCT
easat-11220	100	1	figure	figure	NOUN
easat-11220	100	2	2(c	2(c	NUM
easat-11220	100	3	)	)	PUNCT
easat-11220	100	4	shows	show	VERB
easat-11220	100	5	an	an	DET
easat-11220	100	6	unripe	unripe	NOUN
easat-11220	100	7	oil	oil	NOUN
easat-11220	100	8	palm	palm	NOUN
easat-11220	100	9	fruit	fruit	NOUN
easat-11220	100	10	that	that	PRON
easat-11220	100	11	remains	remain	VERB
easat-11220	100	12	predominantly	predominantly	ADV
easat-11220	100	13	dark	dark	ADJ
easat-11220	100	14	in	in	ADP
easat-11220	100	15	color	color	NOUN
easat-11220	100	16	,	,	PUNCT
easat-11220	100	17	indicating	indicate	VERB
easat-11220	100	18	that	that	SCONJ
easat-11220	100	19	the	the	DET
easat-11220	100	20	fruit	fruit	NOUN
easat-11220	100	21	is	be	AUX
easat-11220	100	22	still	still	ADV
easat-11220	100	23	in	in	ADP
easat-11220	100	24	its	its	PRON
easat-11220	100	25	early	early	ADJ
easat-11220	100	26	developmental	developmental	ADJ
easat-11220	100	27	stages	stage	NOUN
easat-11220	100	28	and	and	CCONJ
easat-11220	100	29	is	be	AUX
easat-11220	100	30	not	not	PART
easat-11220	100	31	ready	ready	ADJ
easat-11220	100	32	for	for	ADP
easat-11220	100	33	harvest	harvest	NOUN
easat-11220	100	34	.	.	PUNCT
easat-11220	101	1	the	the	DET
easat-11220	101	2	level	level	NOUN
easat-11220	101	3	of	of	ADP
easat-11220	101	4	ripeness	ripeness	NOUN
easat-11220	101	5	is	be	AUX
easat-11220	101	6	crucial	crucial	ADJ
easat-11220	101	7	for	for	ADP
easat-11220	101	8	determining	determine	VERB
easat-11220	101	9	the	the	DET
easat-11220	101	10	optimal	optimal	ADJ
easat-11220	101	11	harvest	harvest	NOUN
easat-11220	101	12	time	time	NOUN
easat-11220	101	13	to	to	PART
easat-11220	101	14	maximize	maximize	VERB
easat-11220	101	15	the	the	DET
easat-11220	101	16	oil	oil	NOUN
easat-11220	101	17	yield	yield	NOUN
easat-11220	101	18	.	.	PUNCT
easat-11220	102	1	2.2	2.2	NUM
easat-11220	102	2	.	.	PUNCT
easat-11220	103	1	k	k	X
easat-11220	103	2	-	-	PUNCT
easat-11220	103	3	nn	nn	PROPN
easat-11220	103	4	the	the	DET
easat-11220	103	5	k	k	PROPN
easat-11220	103	6	-	-	PUNCT
easat-11220	103	7	nearest	near	ADJ
easat-11220	103	8	neighbors	neighbor	NOUN
easat-11220	103	9	(	(	PUNCT
easat-11220	103	10	knn	knn	PROPN
easat-11220	103	11	)	)	PUNCT
easat-11220	103	12	algorithm	algorithm	PROPN
easat-11220	103	13	employs	employ	VERB
easat-11220	103	14	the	the	DET
easat-11220	103	15	k	k	PROPN
easat-11220	103	16	closest	close	ADJ
easat-11220	103	17	data	datum	NOUN
easat-11220	103	18	points	point	NOUN
easat-11220	103	19	from	from	ADP
easat-11220	103	20	the	the	DET
easat-11220	103	21	training	training	NOUN
easat-11220	103	22	dataset	dataset	NOUN
easat-11220	103	23	to	to	PART
easat-11220	103	24	predict	predict	VERB
easat-11220	103	25	the	the	DET
easat-11220	103	26	value	value	NOUN
easat-11220	103	27	of	of	ADP
easat-11220	103	28	a	a	DET
easat-11220	103	29	new	new	ADJ
easat-11220	103	30	sample	sample	NOUN
easat-11220	103	31	.	.	PUNCT
easat-11220	104	1	euclidean	euclidean	ADJ
easat-11220	104	2	distance	distance	NOUN
easat-11220	104	3	is	be	AUX
easat-11220	104	4	the	the	DET
easat-11220	104	5	most	most	ADV
easat-11220	104	6	frequently	frequently	ADV
easat-11220	104	7	employed	employ	VERB
easat-11220	104	8	metric	metric	ADJ
easat-11220	104	9	for	for	ADP
easat-11220	104	10	measuring	measure	VERB
easat-11220	104	11	proximity	proximity	NOUN
easat-11220	104	12	in	in	ADP
easat-11220	104	13	knn	knn	PROPN
easat-11220	105	1	[	[	X
easat-11220	105	2	27	27	NUM
easat-11220	105	3	]	]	PUNCT
easat-11220	105	4	.	.	PUNCT
easat-11220	106	1	euclidean	euclidean	ADJ
easat-11220	106	2	distance	distance	NOUN
easat-11220	106	3	was	be	AUX
easat-11220	106	4	calculated	calculate	VERB
easat-11220	106	5	using	use	VERB
easat-11220	106	6	equation	equation	NOUN
easat-11220	106	7	(	(	PUNCT
easat-11220	106	8	1	1	NUM
easat-11220	106	9	)	)	PUNCT
easat-11220	106	10	.	.	PUNCT
easat-11220	107	1	𝑑(𝑥𝑖	𝑑(𝑥𝑖	PROPN
easat-11220	107	2	,	,	PUNCT
easat-11220	107	3	𝑥𝑗	𝑥𝑗	PROPN
easat-11220	107	4	)	)	PUNCT
easat-11220	107	5	=	=	PRON
easat-11220	107	6	√∑	√∑	X
easat-11220	107	7	(	(	PUNCT
easat-11220	107	8	𝑥𝑖𝑘	𝑥𝑖𝑘	ADJ
easat-11220	107	9	−	−	PROPN
easat-11220	107	10	𝑥𝑗𝑘	𝑥𝑗𝑘	NOUN
easat-11220	107	11	)	)	PUNCT
easat-11220	107	12	2𝑝	2𝑝	NOUN
easat-11220	108	1	𝑘=1	𝑘=1	X
easat-11220	108	2	(	(	PUNCT
easat-11220	108	3	1	1	X
easat-11220	108	4	)	)	PUNCT
easat-11220	108	5	in	in	ADP
easat-11220	108	6	this	this	DET
easat-11220	108	7	equation	equation	NOUN
easat-11220	108	8	,	,	PUNCT
easat-11220	108	9	𝑥𝑖denotes	𝑥𝑖denote	VERB
easat-11220	108	10	the	the	DET
easat-11220	108	11	feature	feature	NOUN
easat-11220	108	12	vector	vector	NOUN
easat-11220	108	13	of	of	ADP
easat-11220	108	14	the	the	DET
easat-11220	108	15	first	first	ADJ
easat-11220	108	16	data	data	NOUN
easat-11220	108	17	point	point	NOUN
easat-11220	108	18	,	,	PUNCT
easat-11220	108	19	and	and	CCONJ
easat-11220	108	20	𝑥𝑗denotes	𝑥𝑗denote	VERB
easat-11220	108	21	the	the	DET
easat-11220	108	22	feature	feature	NOUN
easat-11220	108	23	vector	vector	NOUN
easat-11220	108	24	of	of	ADP
easat-11220	108	25	the	the	DET
easat-11220	108	26	second	second	ADJ
easat-11220	108	27	data	data	NOUN
easat-11220	108	28	point	point	NOUN
easat-11220	108	29	.	.	PUNCT
easat-11220	109	1	the	the	DET
easat-11220	109	2	terms	term	NOUN
easat-11220	109	3	𝑥𝑖𝑘	𝑥𝑖𝑘	ADJ
easat-11220	109	4	and	and	CCONJ
easat-11220	109	5	𝑥𝑗𝑘	𝑥𝑗𝑘	PRON
easat-11220	109	6	refer	refer	VERB
easat-11220	109	7	respectively	respectively	ADV
easat-11220	109	8	to	to	ADP
easat-11220	109	9	the	the	DET
easat-11220	109	10	values	value	NOUN
easat-11220	109	11	of	of	ADP
easat-11220	109	12	the𝑘	the𝑘	NOUN
easat-11220	109	13	-th	-th	NOUN
easat-11220	109	14	feature	feature	NOUN
easat-11220	109	15	for	for	ADP
easat-11220	109	16	data	datum	NOUN
easat-11220	109	17	points	point	NOUN
easat-11220	109	18	𝑥𝑖	𝑥𝑖	PROPN
easat-11220	109	19	and	and	CCONJ
easat-11220	109	20	𝑥𝑗.	𝑥𝑗.	VERB
easat-11220	109	21	the	the	DET
easat-11220	109	22	variable𝑝represents	variable𝑝represent	NOUN
easat-11220	109	23	the	the	DET
easat-11220	109	24	total	total	ADJ
easat-11220	109	25	number	number	NOUN
easat-11220	109	26	of	of	ADP
easat-11220	109	27	features	feature	NOUN
easat-11220	109	28	considered	consider	VERB
easat-11220	109	29	in	in	ADP
easat-11220	109	30	the	the	DET
easat-11220	109	31	calculation	calculation	NOUN
easat-11220	109	32	,	,	PUNCT
easat-11220	109	33	and	and	CCONJ
easat-11220	109	34	𝑑(𝑥𝑖	𝑑(𝑥𝑖	PROPN
easat-11220	109	35	,	,	PUNCT
easat-11220	109	36	𝑥𝑗	𝑥𝑗	PROPN
easat-11220	109	37	)	)	PUNCT
easat-11220	109	38	expresses	express	VERB
easat-11220	109	39	the	the	DET
easat-11220	109	40	euclidean	euclidean	ADJ
easat-11220	109	41	distance	distance	NOUN
easat-11220	109	42	computed	compute	VERB
easat-11220	109	43	between	between	ADP
easat-11220	109	44	the	the	DET
easat-11220	109	45	two	two	NUM
easat-11220	109	46	data	datum	NOUN
easat-11220	109	47	points	point	NOUN
easat-11220	109	48	.	.	PUNCT
easat-11220	110	1	2.3	2.3	NUM
easat-11220	110	2	.	.	PUNCT
easat-11220	111	1	naive	naive	ADJ
easat-11220	111	2	bayes	baye	NOUN
easat-11220	111	3	naive	naive	ADJ
easat-11220	111	4	bayes	bayes	PROPN
easat-11220	111	5	is	be	AUX
easat-11220	111	6	a	a	DET
easat-11220	111	7	probabilistic	probabilistic	ADJ
easat-11220	111	8	machine	machine	NOUN
easat-11220	111	9	learning	learn	VERB
easat-11220	111	10	algorithm	algorithm	NOUN
easat-11220	111	11	based	base	VERB
easat-11220	111	12	on	on	ADP
easat-11220	111	13	bayes	bayes	PROPN
easat-11220	111	14	'	'	PART
easat-11220	111	15	theorem	theorem	NOUN
easat-11220	111	16	[	[	X
easat-11220	111	17	28	28	NUM
easat-11220	111	18	]	]	PUNCT
easat-11220	111	19	.	.	PUNCT
easat-11220	112	1	the	the	DET
easat-11220	112	2	algorithm	algorithm	NOUN
easat-11220	112	3	can	can	AUX
easat-11220	112	4	determine	determine	VERB
easat-11220	112	5	the	the	DET
easat-11220	112	6	class	class	NOUN
easat-11220	112	7	of	of	ADP
easat-11220	112	8	a	a	DET
easat-11220	112	9	sample	sample	NOUN
easat-11220	112	10	based	base	VERB
easat-11220	112	11	on	on	ADP
easat-11220	112	12	the	the	DET
easat-11220	112	13	observed	observed	ADJ
easat-11220	112	14	features	feature	NOUN
easat-11220	112	15	and	and	CCONJ
easat-11220	112	16	calculate	calculate	VERB
easat-11220	112	17	the	the	DET
easat-11220	112	18	probability	probability	NOUN
easat-11220	112	19	that	that	SCONJ
easat-11220	112	20	the	the	DET
easat-11220	112	21	sample	sample	NOUN
easat-11220	112	22	belongs	belong	VERB
easat-11220	112	23	to	to	ADP
easat-11220	112	24	a	a	DET
easat-11220	112	25	particular	particular	ADJ
easat-11220	112	26	label	label	NOUN
easat-11220	112	27	[	[	X
easat-11220	112	28	29	29	NUM
easat-11220	112	29	]	]	PUNCT
easat-11220	112	30	.	.	PUNCT
easat-11220	113	1	classification	classification	NOUN
easat-11220	113	2	using	use	VERB
easat-11220	113	3	the	the	DET
easat-11220	113	4	naive	naive	ADJ
easat-11220	113	5	bayes	bayes	NOUN
easat-11220	113	6	algorithm	algorithm	NOUN
easat-11220	113	7	can	can	AUX
easat-11220	113	8	be	be	AUX
easat-11220	113	9	performed	perform	VERB
easat-11220	113	10	using	use	VERB
easat-11220	113	11	equation	equation	NOUN
easat-11220	113	12	(	(	PUNCT
easat-11220	113	13	2	2	NUM
easat-11220	113	14	)	)	PUNCT
easat-11220	114	1	[	[	X
easat-11220	114	2	30	30	NUM
easat-11220	114	3	]	]	PUNCT
easat-11220	114	4	.	.	PUNCT
easat-11220	115	1	𝑃(𝐴|𝐵	𝑃(𝐴|𝐵	ADJ
easat-11220	115	2	)	)	PUNCT
easat-11220	115	3	=	=	SYM
easat-11220	115	4	𝑃(𝐵|𝐴)∗𝑃(𝐴	𝑃(𝐵|𝐴)∗𝑃(𝐴	PROPN
easat-11220	115	5	)	)	PUNCT
easat-11220	115	6	𝑃(𝐵	𝑃(𝐵	PROPN
easat-11220	115	7	)	)	PUNCT
easat-11220	115	8	(	(	PUNCT
easat-11220	115	9	2	2	X
easat-11220	115	10	)	)	PUNCT
easat-11220	115	11	in	in	ADP
easat-11220	115	12	equation	equation	NOUN
easat-11220	115	13	(	(	PUNCT
easat-11220	115	14	2	2	NUM
easat-11220	115	15	)	)	PUNCT
easat-11220	115	16	,	,	PUNCT
easat-11220	115	17	𝑃(𝐴|𝐵	𝑃(𝐴|𝐵	PROPN
easat-11220	115	18	)	)	PUNCT
easat-11220	115	19	represents	represent	VERB
easat-11220	115	20	the	the	DET
easat-11220	115	21	posterior	posterior	ADJ
easat-11220	115	22	probability	probability	NOUN
easat-11220	115	23	of	of	ADP
easat-11220	115	24	class𝐴given	class𝐴given	NOUN
easat-11220	115	25	the	the	DET
easat-11220	115	26	evidence	evidence	NOUN
easat-11220	115	27	𝐵.	𝐵.	NOUN
easat-11220	115	28	the	the	DET
easat-11220	115	29	term	term	NOUN
easat-11220	115	30	𝑃(𝐵|𝐴	𝑃(𝐵|𝐴	NOUN
easat-11220	115	31	)	)	PUNCT
easat-11220	115	32	denotes	denote	VERB
easat-11220	115	33	the	the	DET
easat-11220	115	34	likelihood	likelihood	NOUN
easat-11220	115	35	,	,	PUNCT
easat-11220	115	36	which	which	PRON
easat-11220	115	37	expresses	express	VERB
easat-11220	115	38	how	how	SCONJ
easat-11220	115	39	probable	probable	ADJ
easat-11220	115	40	the	the	DET
easat-11220	115	41	evidence𝐵is	evidence𝐵is	NOUN
easat-11220	115	42	when	when	SCONJ
easat-11220	115	43	class𝐴is	class𝐴i	NOUN
easat-11220	115	44	true	true	ADJ
easat-11220	115	45	.	.	PUNCT
easat-11220	116	1	the	the	DET
easat-11220	116	2	prior	prior	ADJ
easat-11220	116	3	probability	probability	NOUN
easat-11220	116	4	of	of	ADP
easat-11220	116	5	class𝐴is	class𝐴is	PROPN
easat-11220	116	6	written	write	VERB
easat-11220	116	7	as	as	ADP
easat-11220	116	8	𝑃(𝐴	𝑃(𝐴	NOUN
easat-11220	116	9	)	)	PUNCT
easat-11220	116	10	,	,	PUNCT
easat-11220	116	11	while	while	SCONJ
easat-11220	116	12	𝑃(𝐵	𝑃(𝐵	NOUN
easat-11220	116	13	)	)	PUNCT
easat-11220	116	14	is	be	AUX
easat-11220	116	15	the	the	DET
easat-11220	116	16	marginal	marginal	ADJ
easat-11220	116	17	probability	probability	NOUN
easat-11220	116	18	of	of	ADP
easat-11220	116	19	observing	observe	VERB
easat-11220	116	20	the	the	DET
easat-11220	116	21	evidence	evidence	NOUN
easat-11220	116	22	𝐵	𝐵	NOUN
easat-11220	116	23	across	across	ADP
easat-11220	116	24	all	all	DET
easat-11220	116	25	classes	class	NOUN
easat-11220	116	26	.	.	PUNCT
easat-11220	117	1	https://data.mendeley.com/datasets/zrcf6v69y8/1	https://data.mendeley.com/datasets/zrcf6v69y8/1	PROPN
easat-11220	117	2	1394	1394	NUM
easat-11220	117	3	edelweiss	edelweiss	PROPN
easat-11220	117	4	applied	apply	VERB
easat-11220	117	5	science	science	NOUN
easat-11220	117	6	and	and	CCONJ
easat-11220	117	7	technology	technology	NOUN
easat-11220	117	8	issn	issn	PROPN
easat-11220	117	9	:	:	PUNCT
easat-11220	117	10	2576	2576	NUM
easat-11220	117	11	-	-	SYM
easat-11220	117	12	8484	8484	NUM
easat-11220	117	13	vol	vol	NOUN
easat-11220	117	14	.	.	PROPN
easat-11220	118	1	9	9	NUM
easat-11220	118	2	,	,	PUNCT
easat-11220	118	3	no	no	INTJ
easat-11220	118	4	.	.	NOUN
easat-11220	118	5	11	11	NUM
easat-11220	118	6	:	:	PUNCT
easat-11220	118	7	1389	1389	NUM
easat-11220	118	8	-	-	SYM
easat-11220	118	9	1401	1401	NUM
easat-11220	118	10	,	,	PUNCT
easat-11220	118	11	2025	2025	NUM
easat-11220	118	12	doi	doi	NOUN
easat-11220	118	13	:	:	PUNCT
easat-11220	118	14	10.55214/2576	10.55214/2576	NUM
easat-11220	118	15	-	-	SYM
easat-11220	118	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	119	1	©	©	PROPN
easat-11220	119	2	2025	2025	NUM
easat-11220	119	3	by	by	ADP
easat-11220	119	4	the	the	DET
easat-11220	119	5	authors	author	NOUN
easat-11220	119	6	;	;	PUNCT
easat-11220	119	7	licensee	licensee	PROPN
easat-11220	119	8	learning	learning	NOUN
easat-11220	119	9	gate	gate	VERB
easat-11220	119	10	2.4	2.4	NUM
easat-11220	119	11	.	.	PUNCT
easat-11220	120	1	random	random	ADJ
easat-11220	120	2	forest	forest	NOUN
easat-11220	120	3	the	the	DET
easat-11220	120	4	random	random	ADJ
easat-11220	120	5	forest	forest	NOUN
easat-11220	120	6	(	(	PUNCT
easat-11220	120	7	rf	rf	NOUN
easat-11220	120	8	)	)	PUNCT
easat-11220	120	9	method	method	NOUN
easat-11220	120	10	can	can	AUX
easat-11220	120	11	be	be	AUX
easat-11220	120	12	used	use	VERB
easat-11220	120	13	to	to	PART
easat-11220	120	14	construct	construct	VERB
easat-11220	120	15	multiple	multiple	ADJ
easat-11220	120	16	decision	decision	NOUN
easat-11220	120	17	trees	tree	NOUN
easat-11220	120	18	and	and	CCONJ
easat-11220	120	19	then	then	ADV
easat-11220	120	20	combine	combine	VERB
easat-11220	120	21	their	their	PRON
easat-11220	120	22	results	result	NOUN
easat-11220	120	23	to	to	PART
easat-11220	120	24	produce	produce	VERB
easat-11220	120	25	more	more	ADJ
easat-11220	120	26	accurate	accurate	ADJ
easat-11220	120	27	predictions	prediction	NOUN
easat-11220	120	28	.	.	PUNCT
easat-11220	121	1	each	each	DET
easat-11220	121	2	decision	decision	NOUN
easat-11220	121	3	tree	tree	NOUN
easat-11220	121	4	is	be	AUX
easat-11220	121	5	built	build	VERB
easat-11220	121	6	through	through	ADP
easat-11220	121	7	an	an	DET
easat-11220	121	8	iterative	iterative	NOUN
easat-11220	121	9	datasplitting	datasplitting	NOUN
easat-11220	121	10	process	process	NOUN
easat-11220	121	11	,	,	PUNCT
easat-11220	121	12	in	in	ADP
easat-11220	121	13	which	which	PRON
easat-11220	121	14	the	the	DET
easat-11220	121	15	data	datum	NOUN
easat-11220	121	16	are	be	AUX
easat-11220	121	17	divided	divide	VERB
easat-11220	121	18	into	into	ADP
easat-11220	121	19	smaller	small	ADJ
easat-11220	121	20	subsets	subset	NOUN
easat-11220	121	21	[	[	X
easat-11220	121	22	31	31	NUM
easat-11220	121	23	,	,	PUNCT
easat-11220	121	24	32	32	NUM
easat-11220	121	25	]	]	PUNCT
easat-11220	121	26	.	.	PUNCT
easat-11220	122	1	this	this	DET
easat-11220	122	2	division	division	NOUN
easat-11220	122	3	is	be	AUX
easat-11220	122	4	based	base	VERB
easat-11220	122	5	on	on	ADP
easat-11220	122	6	randomly	randomly	ADV
easat-11220	122	7	selected	select	VERB
easat-11220	122	8	features	feature	NOUN
easat-11220	122	9	,	,	PUNCT
easat-11220	122	10	which	which	PRON
easat-11220	122	11	helps	help	VERB
easat-11220	122	12	to	to	PART
easat-11220	122	13	increase	increase	VERB
easat-11220	122	14	the	the	DET
easat-11220	122	15	variability	variability	NOUN
easat-11220	122	16	among	among	ADP
easat-11220	122	17	trees	tree	NOUN
easat-11220	122	18	.	.	PUNCT
easat-11220	123	1	to	to	PART
easat-11220	123	2	determine	determine	VERB
easat-11220	123	3	how	how	SCONJ
easat-11220	123	4	to	to	PART
easat-11220	123	5	split	split	VERB
easat-11220	123	6	the	the	DET
easat-11220	123	7	data	datum	NOUN
easat-11220	123	8	,	,	PUNCT
easat-11220	123	9	the	the	DET
easat-11220	123	10	rf	rf	ADJ
easat-11220	123	11	algorithm	algorithm	NOUN
easat-11220	123	12	selects	select	VERB
easat-11220	123	13	the	the	DET
easat-11220	123	14	splitting	splitting	NOUN
easat-11220	123	15	point	point	NOUN
easat-11220	123	16	that	that	PRON
easat-11220	123	17	minimizes	minimize	VERB
easat-11220	123	18	impurities	impurity	NOUN
easat-11220	123	19	within	within	ADP
easat-11220	123	20	the	the	DET
easat-11220	123	21	resulting	result	VERB
easat-11220	123	22	subsets	subset	NOUN
easat-11220	123	23	.	.	PUNCT
easat-11220	124	1	impurity	impurity	NOUN
easat-11220	124	2	is	be	AUX
easat-11220	124	3	typically	typically	ADV
easat-11220	124	4	measured	measure	VERB
easat-11220	124	5	using	use	VERB
easat-11220	124	6	metrics	metric	NOUN
easat-11220	124	7	such	such	ADJ
easat-11220	124	8	as	as	ADP
easat-11220	124	9	entropy	entropy	NOUN
easat-11220	124	10	or	or	CCONJ
easat-11220	124	11	the	the	DET
easat-11220	124	12	gini	gini	PROPN
easat-11220	124	13	index	index	PROPN
easat-11220	124	14	,	,	PUNCT
easat-11220	124	15	which	which	PRON
easat-11220	124	16	assess	assess	VERB
easat-11220	124	17	the	the	DET
easat-11220	124	18	homogeneity	homogeneity	NOUN
easat-11220	124	19	of	of	ADP
easat-11220	124	20	subsets	subset	NOUN
easat-11220	124	21	.	.	PUNCT
easat-11220	125	1	once	once	SCONJ
easat-11220	125	2	the	the	DET
easat-11220	125	3	decision	decision	NOUN
easat-11220	125	4	trees	tree	NOUN
easat-11220	125	5	are	be	AUX
easat-11220	125	6	built	build	VERB
easat-11220	125	7	,	,	PUNCT
easat-11220	125	8	the	the	DET
easat-11220	125	9	results	result	NOUN
easat-11220	125	10	from	from	ADP
easat-11220	125	11	each	each	DET
easat-11220	125	12	tree	tree	NOUN
easat-11220	125	13	are	be	AUX
easat-11220	125	14	aggregated	aggregate	VERB
easat-11220	125	15	,	,	PUNCT
easat-11220	125	16	and	and	CCONJ
easat-11220	125	17	the	the	DET
easat-11220	125	18	final	final	ADJ
easat-11220	125	19	prediction	prediction	NOUN
easat-11220	125	20	is	be	AUX
easat-11220	125	21	made	make	VERB
easat-11220	125	22	through	through	ADP
easat-11220	125	23	averaging	averaging	NOUN
easat-11220	125	24	or	or	CCONJ
easat-11220	125	25	voting	voting	NOUN
easat-11220	125	26	.	.	PUNCT
easat-11220	126	1	this	this	DET
easat-11220	126	2	approach	approach	NOUN
easat-11220	126	3	helps	help	VERB
easat-11220	126	4	reduce	reduce	VERB
easat-11220	126	5	the	the	DET
easat-11220	126	6	risk	risk	NOUN
easat-11220	126	7	of	of	ADP
easat-11220	126	8	overfitting	overfitting	NOUN
easat-11220	126	9	because	because	SCONJ
easat-11220	126	10	the	the	DET
easat-11220	126	11	variation	variation	NOUN
easat-11220	126	12	between	between	ADP
easat-11220	126	13	trees	tree	NOUN
easat-11220	126	14	mitigates	mitigate	VERB
easat-11220	126	15	the	the	DET
easat-11220	126	16	impact	impact	NOUN
easat-11220	126	17	of	of	ADP
easat-11220	126	18	individual	individual	ADJ
easat-11220	126	19	errors	error	NOUN
easat-11220	126	20	.	.	PUNCT
easat-11220	127	1	2.5	2.5	NUM
easat-11220	127	2	.	.	PUNCT
easat-11220	128	1	svm	svm	VERB
easat-11220	128	2	support	support	NOUN
easat-11220	128	3	vector	vector	NOUN
easat-11220	128	4	machine	machine	NOUN
easat-11220	128	5	(	(	PUNCT
easat-11220	128	6	svm	svm	PROPN
easat-11220	128	7	)	)	PUNCT
easat-11220	128	8	operates	operate	VERB
easat-11220	128	9	by	by	ADP
easat-11220	128	10	finding	find	VERB
easat-11220	128	11	the	the	DET
easat-11220	128	12	optimal	optimal	ADJ
easat-11220	128	13	hyperplane	hyperplane	NOUN
easat-11220	128	14	that	that	PRON
easat-11220	128	15	separates	separate	VERB
easat-11220	128	16	the	the	DET
easat-11220	128	17	data	datum	NOUN
easat-11220	128	18	into	into	ADP
easat-11220	128	19	two	two	NUM
easat-11220	128	20	classes	class	NOUN
easat-11220	128	21	[	[	X
easat-11220	128	22	33	33	NUM
easat-11220	128	23	,	,	PUNCT
easat-11220	128	24	34	34	NUM
easat-11220	128	25	]	]	PUNCT
easat-11220	128	26	.	.	PUNCT
easat-11220	129	1	for	for	ADP
easat-11220	129	2	linear	linear	PROPN
easat-11220	129	3	classification	classification	NOUN
easat-11220	129	4	,	,	PUNCT
easat-11220	129	5	svm	svm	PROPN
easat-11220	129	6	can	can	AUX
easat-11220	129	7	be	be	AUX
easat-11220	129	8	described	describe	VERB
easat-11220	129	9	using	use	VERB
easat-11220	129	10	the	the	DET
easat-11220	129	11	following	follow	VERB
easat-11220	129	12	equation	equation	NOUN
easat-11220	129	13	:	:	PUNCT
easat-11220	129	14	𝑤𝑥	𝑤𝑥	PROPN
easat-11220	129	15	+	+	NOUN
easat-11220	129	16	𝑏	𝑏	NOUN
easat-11220	129	17	=	=	SYM
easat-11220	129	18	0	0	PROPN
easat-11220	129	19	.	.	PUNCT
easat-11220	130	1	(	(	PUNCT
easat-11220	130	2	3	3	X
easat-11220	130	3	)	)	PUNCT
easat-11220	130	4	first	first	ADV
easat-11220	130	5	,	,	PUNCT
easat-11220	130	6	𝒘represents	𝒘represent	VERB
easat-11220	130	7	the	the	DET
easat-11220	130	8	weight	weight	NOUN
easat-11220	130	9	vector	vector	NOUN
easat-11220	130	10	that	that	PRON
easat-11220	130	11	defines	define	VERB
easat-11220	130	12	the	the	DET
easat-11220	130	13	direction	direction	NOUN
easat-11220	130	14	and	and	CCONJ
easat-11220	130	15	strength	strength	NOUN
easat-11220	130	16	of	of	ADP
easat-11220	130	17	the	the	DET
easat-11220	130	18	hyperplane	hyperplane	NOUN
easat-11220	130	19	in	in	ADP
easat-11220	130	20	feature	feature	NOUN
easat-11220	130	21	space	space	NOUN
easat-11220	130	22	.	.	PUNCT
easat-11220	131	1	this	this	DET
easat-11220	131	2	vector	vector	NOUN
easat-11220	131	3	plays	play	VERB
easat-11220	131	4	a	a	DET
easat-11220	131	5	crucial	crucial	ADJ
easat-11220	131	6	role	role	NOUN
easat-11220	131	7	in	in	ADP
easat-11220	131	8	determining	determine	VERB
easat-11220	131	9	the	the	DET
easat-11220	131	10	boundary	boundary	NOUN
easat-11220	131	11	between	between	ADP
easat-11220	131	12	two	two	NUM
easat-11220	131	13	classes	class	NOUN
easat-11220	131	14	.	.	PUNCT
easat-11220	132	1	where	where	SCONJ
easat-11220	132	2	𝒙represents	𝒙represent	NOUN
easat-11220	132	3	the	the	DET
easat-11220	132	4	feature	feature	NOUN
easat-11220	132	5	vector	vector	NOUN
easat-11220	132	6	that	that	PRON
easat-11220	132	7	signifies	signify	VERB
easat-11220	132	8	the	the	DET
easat-11220	132	9	input	input	NOUN
easat-11220	132	10	data	datum	NOUN
easat-11220	132	11	to	to	PART
easat-11220	132	12	be	be	AUX
easat-11220	132	13	classified	classify	VERB
easat-11220	132	14	.	.	PUNCT
easat-11220	133	1	each	each	DET
easat-11220	133	2	data	datum	NOUN
easat-11220	133	3	point	point	NOUN
easat-11220	133	4	has	have	VERB
easat-11220	133	5	a	a	DET
easat-11220	133	6	distinct	distinct	ADJ
easat-11220	133	7	feature	feature	NOUN
easat-11220	133	8	vector	vector	NOUN
easat-11220	133	9	,	,	PUNCT
easat-11220	133	10	depending	depend	VERB
easat-11220	133	11	on	on	ADP
easat-11220	133	12	the	the	DET
easat-11220	133	13	dimensionality	dimensionality	NOUN
easat-11220	133	14	of	of	ADP
easat-11220	133	15	the	the	DET
easat-11220	133	16	data	datum	NOUN
easat-11220	133	17	.	.	PUNCT
easat-11220	134	1	by	by	ADP
easat-11220	134	2	maximizing	maximize	VERB
easat-11220	134	3	the	the	DET
easat-11220	134	4	margin	margin	NOUN
easat-11220	134	5	,	,	PUNCT
easat-11220	134	6	the	the	DET
easat-11220	134	7	svm	svm	PROPN
easat-11220	134	8	solves	solve	VERB
easat-11220	134	9	the	the	DET
easat-11220	134	10	optimization	optimization	NOUN
easat-11220	134	11	problem	problem	NOUN
easat-11220	134	12	as	as	SCONJ
easat-11220	134	13	follows	follow	VERB
easat-11220	134	14	.	.	PUNCT
easat-11220	135	1	:	:	PUNCT
easat-11220	135	2	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
easat-11220	135	3	1	1	NUM
easat-11220	135	4	2	2	NUM
easat-11220	135	5	‖	‖	PROPN
easat-11220	135	6	𝑤	𝑤	ADP
easat-11220	135	7	‖2	‖2	NOUN
easat-11220	135	8	(	(	PUNCT
easat-11220	135	9	4	4	NUM
easat-11220	135	10	)	)	PUNCT
easat-11220	135	11	subject	subject	NOUN
easat-11220	135	12	to	to	ADP
easat-11220	135	13	the	the	DET
easat-11220	135	14	following	follow	VERB
easat-11220	135	15	constraint	constraint	NOUN
easat-11220	135	16	:	:	PUNCT
easat-11220	136	1	𝑦𝑖(𝑤𝑥𝑖	𝑦𝑖(𝑤𝑥𝑖	NOUN
easat-11220	136	2	+	+	CCONJ
easat-11220	136	3	𝑏	𝑏	NOUN
easat-11220	136	4	)	)	PUNCT
easat-11220	136	5	≥	≥	NOUN
easat-11220	136	6	1	1	NUM
easat-11220	136	7	.	.	PUNCT
easat-11220	137	1	(	(	PUNCT
easat-11220	137	2	5	5	NUM
easat-11220	137	3	)	)	PUNCT
easat-11220	137	4	next	next	ADV
easat-11220	137	5	,	,	PUNCT
easat-11220	137	6	𝒃	𝒃	PROPN
easat-11220	137	7	is	be	AUX
easat-11220	137	8	the	the	DET
easat-11220	137	9	bias	bias	NOUN
easat-11220	137	10	term	term	NOUN
easat-11220	137	11	that	that	PRON
easat-11220	137	12	shifts	shift	VERB
easat-11220	137	13	the	the	DET
easat-11220	137	14	hyperplane	hyperplane	NOUN
easat-11220	137	15	away	away	ADV
easat-11220	137	16	from	from	ADP
easat-11220	137	17	the	the	DET
easat-11220	137	18	origin	origin	NOUN
easat-11220	137	19	.	.	PUNCT
easat-11220	138	1	this	this	DET
easat-11220	138	2	bias	bias	NOUN
easat-11220	138	3	value	value	NOUN
easat-11220	138	4	helps	help	VERB
easat-11220	138	5	to	to	PART
easat-11220	138	6	position	position	VERB
easat-11220	138	7	the	the	DET
easat-11220	138	8	hyperplane	hyperplane	NOUN
easat-11220	138	9	more	more	ADV
easat-11220	138	10	effectively	effectively	ADV
easat-11220	138	11	within	within	ADP
easat-11220	138	12	the	the	DET
easat-11220	138	13	feature	feature	NOUN
easat-11220	138	14	space	space	NOUN
easat-11220	138	15	.	.	PUNCT
easat-11220	139	1	in	in	ADP
easat-11220	139	2	the	the	DET
easat-11220	139	3	equation	equation	NOUN
easat-11220	139	4	𝒚𝒊(𝒘𝒙𝒊	𝒚𝒊(𝒘𝒙𝒊	PROPN
easat-11220	139	5	+	+	CCONJ
easat-11220	139	6	𝒃	𝒃	PROPN
easat-11220	139	7	)	)	PUNCT
easat-11220	139	8	≥	≥	NOUN
easat-11220	139	9	𝟏	𝟏	NUM
easat-11220	139	10	,	,	PUNCT
easat-11220	139	11	𝒚𝒊	𝒚𝒊	PRON
easat-11220	139	12	represents	represent	VERB
easat-11220	139	13	the	the	DET
easat-11220	139	14	class	class	NOUN
easat-11220	139	15	label	label	NOUN
easat-11220	139	16	for	for	ADP
easat-11220	139	17	each	each	DET
easat-11220	139	18	data	datum	NOUN
easat-11220	139	19	point	point	NOUN
easat-11220	139	20	,	,	PUNCT
easat-11220	139	21	which	which	PRON
easat-11220	139	22	can	can	AUX
easat-11220	139	23	be	be	AUX
easat-11220	139	24	either	either	DET
easat-11220	139	25	1	1	NUM
easat-11220	139	26	or	or	CCONJ
easat-11220	139	27	-1	-1	ADV
easat-11220	139	28	,	,	PUNCT
easat-11220	139	29	indicating	indicate	VERB
easat-11220	139	30	two	two	NUM
easat-11220	139	31	different	different	ADJ
easat-11220	139	32	classes	class	NOUN
easat-11220	139	33	.	.	PUNCT
easat-11220	140	1	this	this	DET
easat-11220	140	2	equation	equation	NOUN
easat-11220	140	3	ensures	ensure	VERB
easat-11220	140	4	that	that	SCONJ
easat-11220	140	5	all	all	DET
easat-11220	140	6	points	point	NOUN
easat-11220	140	7	from	from	ADP
easat-11220	140	8	the	the	DET
easat-11220	140	9	positive	positive	ADJ
easat-11220	140	10	class	class	NOUN
easat-11220	140	11	are	be	AUX
easat-11220	140	12	on	on	ADP
easat-11220	140	13	one	one	NUM
easat-11220	140	14	side	side	NOUN
easat-11220	140	15	of	of	ADP
easat-11220	140	16	the	the	DET
easat-11220	140	17	hyperplane	hyperplane	NOUN
easat-11220	140	18	,	,	PUNCT
easat-11220	140	19	whereas	whereas	SCONJ
easat-11220	140	20	the	the	DET
easat-11220	140	21	negative	negative	ADJ
easat-11220	140	22	class	class	NOUN
easat-11220	140	23	points	point	NOUN
easat-11220	140	24	are	be	AUX
easat-11220	140	25	on	on	ADP
easat-11220	140	26	the	the	DET
easat-11220	140	27	opposite	opposite	ADJ
easat-11220	140	28	side	side	NOUN
easat-11220	140	29	,	,	PUNCT
easat-11220	140	30	maximizing	maximize	VERB
easat-11220	140	31	the	the	DET
easat-11220	140	32	distance	distance	NOUN
easat-11220	140	33	or	or	CCONJ
easat-11220	140	34	margin	margin	NOUN
easat-11220	140	35	between	between	ADP
easat-11220	140	36	the	the	DET
easat-11220	140	37	hyperplane	hyperplane	NOUN
easat-11220	140	38	and	and	CCONJ
easat-11220	140	39	the	the	DET
easat-11220	140	40	nearest	near	ADJ
easat-11220	140	41	data	data	NOUN
easat-11220	140	42	points	point	NOUN
easat-11220	140	43	from	from	ADP
easat-11220	140	44	both	both	DET
easat-11220	140	45	classes	class	NOUN
easat-11220	140	46	.	.	PUNCT
easat-11220	141	1	finally	finally	ADV
easat-11220	141	2	,	,	PUNCT
easat-11220	141	3	the	the	DET
easat-11220	141	4	svm	svm	ADJ
easat-11220	141	5	objective	objective	NOUN
easat-11220	141	6	is	be	AUX
easat-11220	141	7	to	to	PART
easat-11220	141	8	minimize	minimize	VERB
easat-11220	141	9	the	the	DET
easat-11220	141	10	𝒎𝒊𝒏	𝒎𝒊𝒏	ADJ
easat-11220	141	11	𝟏	𝟏	NUM
easat-11220	141	12	𝟐	𝟐	NUM
easat-11220	141	13	‖	‖	PROPN
easat-11220	141	14	𝒘	𝒘	NOUN
easat-11220	141	15	‖𝟐	‖𝟐	NOUN
easat-11220	141	16	,	,	PUNCT
easat-11220	141	17	which	which	PRON
easat-11220	141	18	means	mean	VERB
easat-11220	141	19	the	the	DET
easat-11220	141	20	algorithm	algorithm	NOUN
easat-11220	141	21	aims	aim	VERB
easat-11220	141	22	to	to	PART
easat-11220	141	23	maximize	maximize	VERB
easat-11220	141	24	the	the	DET
easat-11220	141	25	margin	margin	NOUN
easat-11220	141	26	while	while	SCONJ
easat-11220	141	27	keeping	keep	VERB
easat-11220	141	28	the	the	DET
easat-11220	141	29	weight	weight	NOUN
easat-11220	141	30	vector	vector	NOUN
easat-11220	142	1	𝒘	𝒘	X
easat-11220	142	2	small	small	ADJ
easat-11220	142	3	.	.	PUNCT
easat-11220	143	1	this	this	PRON
easat-11220	143	2	resulted	result	VERB
easat-11220	143	3	in	in	ADP
easat-11220	143	4	a	a	DET
easat-11220	143	5	more	more	ADV
easat-11220	143	6	stable	stable	ADJ
easat-11220	143	7	and	and	CCONJ
easat-11220	143	8	robust	robust	ADJ
easat-11220	143	9	model	model	NOUN
easat-11220	143	10	.	.	PUNCT
easat-11220	144	1	2.6	2.6	NUM
easat-11220	144	2	.	.	PUNCT
easat-11220	145	1	xgboost	xgboost	AUX
easat-11220	146	1	extreme	extreme	ADJ
easat-11220	146	2	gradient	gradient	NOUN
easat-11220	146	3	boosting	boost	VERB
easat-11220	146	4	(	(	PUNCT
easat-11220	146	5	xgboost	xgboost	X
easat-11220	146	6	)	)	PUNCT
easat-11220	146	7	is	be	AUX
easat-11220	146	8	a	a	DET
easat-11220	146	9	widely	widely	ADV
easat-11220	146	10	used	use	VERB
easat-11220	146	11	technique	technique	NOUN
easat-11220	146	12	for	for	ADP
easat-11220	146	13	building	build	VERB
easat-11220	146	14	classification	classification	NOUN
easat-11220	146	15	models	model	NOUN
easat-11220	146	16	in	in	ADP
easat-11220	146	17	machine	machine	NOUN
easat-11220	146	18	learning	learning	NOUN
easat-11220	146	19	competitions	competition	NOUN
easat-11220	146	20	and	and	CCONJ
easat-11220	146	21	real	real	ADJ
easat-11220	146	22	-	-	PUNCT
easat-11220	146	23	world	world	NOUN
easat-11220	146	24	applications	application	NOUN
easat-11220	146	25	[	[	X
easat-11220	146	26	35	35	NUM
easat-11220	146	27	]	]	PUNCT
easat-11220	146	28	.	.	PUNCT
easat-11220	147	1	this	this	DET
easat-11220	147	2	implementation	implementation	NOUN
easat-11220	147	3	of	of	ADP
easat-11220	147	4	gradient	gradient	NOUN
easat-11220	147	5	boosting	boosting	NOUN
easat-11220	147	6	emphasizes	emphasize	VERB
easat-11220	147	7	speed	speed	NOUN
easat-11220	147	8	and	and	CCONJ
easat-11220	147	9	performance	performance	NOUN
easat-11220	147	10	.	.	PUNCT
easat-11220	148	1	xgboost	xgboost	PROPN
easat-11220	148	2	is	be	AUX
easat-11220	148	3	based	base	VERB
easat-11220	148	4	on	on	ADP
easat-11220	148	5	the	the	DET
easat-11220	148	6	boosting	boost	VERB
easat-11220	148	7	technique	technique	NOUN
easat-11220	148	8	of	of	ADP
easat-11220	148	9	constructing	construct	VERB
easat-11220	148	10	simple	simple	ADJ
easat-11220	148	11	models	model	NOUN
easat-11220	148	12	,	,	PUNCT
easat-11220	148	13	such	such	ADJ
easat-11220	148	14	as	as	ADP
easat-11220	148	15	decision	decision	NOUN
easat-11220	148	16	trees	tree	NOUN
easat-11220	148	17	,	,	PUNCT
easat-11220	148	18	sequentially	sequentially	ADV
easat-11220	148	19	.	.	PUNCT
easat-11220	149	1	each	each	DET
easat-11220	149	2	subsequent	subsequent	ADJ
easat-11220	149	3	model	model	NOUN
easat-11220	149	4	aims	aim	VERB
easat-11220	149	5	to	to	PART
easat-11220	149	6	correct	correct	VERB
easat-11220	149	7	the	the	DET
easat-11220	149	8	errors	error	NOUN
easat-11220	149	9	of	of	ADP
easat-11220	149	10	the	the	DET
easat-11220	149	11	previous	previous	ADJ
easat-11220	149	12	one	one	NUM
easat-11220	149	13	.	.	PUNCT
easat-11220	150	1	to	to	PART
easat-11220	150	2	prevent	prevent	VERB
easat-11220	150	3	overfitting	overfitting	NOUN
easat-11220	150	4	,	,	PUNCT
easat-11220	150	5	regularization	regularization	NOUN
easat-11220	150	6	is	be	AUX
easat-11220	150	7	incorporated	incorporate	VERB
easat-11220	150	8	into	into	ADP
easat-11220	150	9	the	the	DET
easat-11220	150	10	loss	loss	NOUN
easat-11220	150	11	function	function	NOUN
easat-11220	150	12	.	.	PUNCT
easat-11220	151	1	the	the	DET
easat-11220	151	2	algorithm	algorithm	NOUN
easat-11220	151	3	then	then	ADV
easat-11220	151	4	proceeds	proceed	VERB
easat-11220	151	5	to	to	PART
easat-11220	151	6	minimize	minimize	VERB
easat-11220	151	7	this	this	DET
easat-11220	151	8	modified	modify	VERB
easat-11220	151	9	loss	loss	NOUN
easat-11220	151	10	function	function	NOUN
easat-11220	151	11	.	.	PUNCT
easat-11220	152	1	xgboost	xgboost	PROPN
easat-11220	152	2	integrates	integrate	VERB
easat-11220	152	3	several	several	ADJ
easat-11220	152	4	elements	element	NOUN
easat-11220	152	5	into	into	ADP
easat-11220	152	6	its	its	PRON
easat-11220	152	7	theoretical	theoretical	ADJ
easat-11220	152	8	framework	framework	NOUN
easat-11220	152	9	.	.	PUNCT
easat-11220	153	1	the	the	DET
easat-11220	153	2	basic	basic	ADJ
easat-11220	153	3	formula	formula	NOUN
easat-11220	153	4	for	for	ADP
easat-11220	153	5	the	the	DET
easat-11220	153	6	loss	loss	NOUN
easat-11220	153	7	function	function	NOUN
easat-11220	153	8	𝑳(𝒚	𝑳(𝒚	PROPN
easat-11220	153	9	,	,	PUNCT
easat-11220	153	10	�	�	PROPN
easat-11220	153	11	̂	̂	NOUN
easat-11220	153	12	�	�	NOUN
easat-11220	153	13	)	)	PUNCT
easat-11220	153	14	is	be	AUX
easat-11220	153	15	presented	present	VERB
easat-11220	153	16	in	in	ADP
easat-11220	153	17	equation	equation	NOUN
easat-11220	153	18	(	(	PUNCT
easat-11220	153	19	6	6	NUM
easat-11220	153	20	)	)	PUNCT
easat-11220	153	21	below	below	ADV
easat-11220	153	22	.	.	PUNCT
easat-11220	154	1	𝐿(𝑦	𝐿(𝑦	X
easat-11220	154	2	,	,	PUNCT
easat-11220	154	3	�	�	NOUN
easat-11220	154	4	̂	̂	NOUN
easat-11220	154	5	�	�	NOUN
easat-11220	154	6	)	)	PUNCT
easat-11220	154	7	=	=	PUNCT
easat-11220	154	8	∑	∑	PUNCT
easat-11220	154	9	𝑙(𝑦𝑖	𝑙(𝑦𝑖	ADV
easat-11220	154	10	,	,	PUNCT
easat-11220	154	11	�	�	PROPN
easat-11220	154	12	̂	̂	NOUN
easat-11220	154	13	�	�	NOUN
easat-11220	154	14	𝑙	𝑙	NUM
easat-11220	154	15	)	)	PUNCT
easat-11220	155	1	+	+	CCONJ
easat-11220	155	2	∑	∑	PROPN
easat-11220	155	3	𝛺(𝑓𝑘)𝐾	𝛺(𝑓𝑘)𝐾	ADJ
easat-11220	155	4	𝑘=1	𝑘=1	PROPN
easat-11220	155	5	𝑛	𝑛	PRON
easat-11220	155	6	𝑖=1	𝑖=1	PROPN
easat-11220	155	7	.	.	PUNCT
easat-11220	156	1	(	(	PUNCT
easat-11220	156	2	6	6	X
easat-11220	156	3	)	)	PUNCT
easat-11220	156	4	the	the	DET
easat-11220	156	5	loss	loss	NOUN
easat-11220	156	6	function	function	NOUN
easat-11220	156	7	𝑳(𝒚	𝑳(𝒚	PROPN
easat-11220	156	8	,	,	PUNCT
easat-11220	156	9	�	�	PROPN
easat-11220	156	10	̂	̂	SYM
easat-11220	156	11	�	�	NOUN
easat-11220	156	12	)	)	PUNCT
easat-11220	156	13	measures	measure	NOUN
easat-11220	156	14	how	how	SCONJ
easat-11220	156	15	well	well	ADV
easat-11220	156	16	the	the	DET
easat-11220	156	17	model	model	NOUN
easat-11220	156	18	predicts	predict	VERB
easat-11220	156	19	the	the	DET
easat-11220	156	20	outcome	outcome	NOUN
easat-11220	156	21	.	.	PUNCT
easat-11220	157	1	in	in	ADP
easat-11220	157	2	xgboost	xgboost	PROPN
easat-11220	157	3	,	,	PUNCT
easat-11220	157	4	the	the	DET
easat-11220	157	5	loss	loss	NOUN
easat-11220	157	6	function	function	NOUN
easat-11220	157	7	is	be	AUX
easat-11220	157	8	typically	typically	ADV
easat-11220	157	9	quadratic	quadratic	ADJ
easat-11220	157	10	for	for	ADP
easat-11220	157	11	regression	regression	NOUN
easat-11220	157	12	or	or	CCONJ
easat-11220	157	13	logistic	logistic	ADJ
easat-11220	157	14	classification	classification	NOUN
easat-11220	157	15	.	.	PUNCT
easat-11220	158	1	the	the	DET
easat-11220	158	2	general	general	ADJ
easat-11220	158	3	formula	formula	NOUN
easat-11220	158	4	for	for	ADP
easat-11220	158	5	the	the	DET
easat-11220	158	6	loss	loss	NOUN
easat-11220	158	7	function	function	NOUN
easat-11220	158	8	is	be	AUX
easat-11220	158	9	given	give	VERB
easat-11220	158	10	in	in	ADP
easat-11220	158	11	the	the	DET
easat-11220	158	12	following	follow	VERB
easat-11220	158	13	equation	equation	NOUN
easat-11220	158	14	.	.	PUNCT
easat-11220	159	1	𝑳(𝒚	𝑳(𝒚	PROPN
easat-11220	159	2	,	,	PUNCT
easat-11220	159	3	�	�	PROPN
easat-11220	159	4	̂	̂	NOUN
easat-11220	159	5	�	�	NOUN
easat-11220	159	6	)	)	PUNCT
easat-11220	159	7	=	=	PUNCT
easat-11220	159	8	∑	∑	PUNCT
easat-11220	159	9	𝒍(𝒚𝒊	𝒍(𝒚𝒊	PROPN
easat-11220	159	10	,	,	PUNCT
easat-11220	159	11	�	�	PROPN
easat-11220	159	12	̂	̂	VERB
easat-11220	159	13	�	�	NOUN
easat-11220	159	14	𝒍)𝒏	𝒍)𝒏	NOUN
easat-11220	159	15	𝒊=𝟏	𝒊=𝟏	NOUN
easat-11220	159	16	.	.	PUNCT
easat-11220	160	1	(	(	PUNCT
easat-11220	160	2	7	7	X
easat-11220	160	3	)	)	PUNCT
easat-11220	160	4	1395	1395	NUM
easat-11220	160	5	edelweiss	edelweiss	PROPN
easat-11220	160	6	applied	apply	VERB
easat-11220	160	7	science	science	NOUN
easat-11220	160	8	and	and	CCONJ
easat-11220	160	9	technology	technology	NOUN
easat-11220	160	10	issn	issn	PROPN
easat-11220	160	11	:	:	PUNCT
easat-11220	160	12	2576	2576	NUM
easat-11220	160	13	-	-	SYM
easat-11220	160	14	8484	8484	NUM
easat-11220	160	15	vol	vol	NOUN
easat-11220	160	16	.	.	PROPN
easat-11220	161	1	9	9	NUM
easat-11220	161	2	,	,	PUNCT
easat-11220	161	3	no	no	INTJ
easat-11220	161	4	.	.	NOUN
easat-11220	161	5	11	11	NUM
easat-11220	161	6	:	:	PUNCT
easat-11220	161	7	1389	1389	NUM
easat-11220	161	8	-	-	SYM
easat-11220	161	9	1401	1401	NUM
easat-11220	161	10	,	,	PUNCT
easat-11220	161	11	2025	2025	NUM
easat-11220	161	12	doi	doi	NOUN
easat-11220	161	13	:	:	PUNCT
easat-11220	161	14	10.55214/2576	10.55214/2576	NUM
easat-11220	161	15	-	-	SYM
easat-11220	161	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	162	1	©	©	PROPN
easat-11220	162	2	2025	2025	NUM
easat-11220	162	3	by	by	ADP
easat-11220	162	4	the	the	DET
easat-11220	162	5	authors	author	NOUN
easat-11220	162	6	;	;	PUNCT
easat-11220	162	7	licensee	licensee	PROPN
easat-11220	162	8	learning	learning	NOUN
easat-11220	162	9	gate	gate	NOUN
easat-11220	162	10	to	to	PART
easat-11220	162	11	prevent	prevent	VERB
easat-11220	162	12	overfitting	overfitting	NOUN
easat-11220	162	13	,	,	PUNCT
easat-11220	162	14	xgboost	xgboost	PROPN
easat-11220	162	15	applies	apply	VERB
easat-11220	162	16	a	a	DET
easat-11220	162	17	regularization	regularization	NOUN
easat-11220	162	18	penalty	penalty	NOUN
easat-11220	162	19	represented	represent	VERB
easat-11220	162	20	by	by	ADP
easat-11220	162	21	𝜴(𝒇𝒌	𝜴(𝒇𝒌	PROPN
easat-11220	162	22	)	)	PUNCT
easat-11220	162	23	.	.	PUNCT
easat-11220	163	1	𝛺(𝑓𝑘	𝛺(𝑓𝑘	X
easat-11220	163	2	)	)	PUNCT
easat-11220	164	1	=	=	PUNCT
easat-11220	164	2	𝛺𝐾	𝛺𝐾	NOUN
easat-11220	164	3	+	+	CCONJ
easat-11220	164	4	1	1	NUM
easat-11220	164	5	2	2	NUM
easat-11220	164	6	𝛺‖𝑤‖2	𝛺‖𝑤‖2	PROPN
easat-11220	164	7	.	.	PUNCT
easat-11220	165	1	(	(	PUNCT
easat-11220	165	2	8)	8)	NUM
easat-11220	165	3	the	the	DET
easat-11220	165	4	model	model	NOUN
easat-11220	165	5	is	be	AUX
easat-11220	165	6	then	then	ADV
easat-11220	165	7	updated	update	VERB
easat-11220	165	8	by	by	ADP
easat-11220	165	9	adding	add	VERB
easat-11220	165	10	a	a	DET
easat-11220	165	11	new	new	ADJ
easat-11220	165	12	tree	tree	NOUN
easat-11220	165	13	to	to	ADP
easat-11220	165	14	the	the	DET
easat-11220	165	15	previous	previous	ADJ
easat-11220	165	16	model	model	NOUN
easat-11220	165	17	.	.	PUNCT
easat-11220	166	1	the	the	DET
easat-11220	166	2	updated	update	VERB
easat-11220	166	3	formula	formula	NOUN
easat-11220	166	4	is	be	AUX
easat-11220	166	5	as	as	SCONJ
easat-11220	166	6	follows	follow	VERB
easat-11220	166	7	:	:	PUNCT
easat-11220	166	8	�	�	PROPN
easat-11220	166	9	̂	̂	NOUN
easat-11220	166	10	�	�	NOUN
easat-11220	166	11	(𝑡	(𝑡	NOUN
easat-11220	166	12	)	)	PUNCT
easat-11220	166	13	=	=	SYM
easat-11220	166	14	�	�	PROPN
easat-11220	166	15	̂	̂	NOUN
easat-11220	166	16	�	�	NOUN
easat-11220	166	17	(𝑡−1	(𝑡−1	PROPN
easat-11220	166	18	)	)	PUNCT
easat-11220	166	19	+	+	X
easat-11220	166	20	𝑛𝑓𝑡(𝑥	𝑛𝑓𝑡(𝑥	PROPN
easat-11220	166	21	)	)	PUNCT
easat-11220	166	22	.	.	PUNCT
easat-11220	167	1	(	(	PUNCT
easat-11220	167	2	9	9	X
easat-11220	167	3	)	)	PUNCT
easat-11220	167	4	next	next	ADV
easat-11220	167	5	,	,	PUNCT
easat-11220	167	6	to	to	PART
easat-11220	167	7	build	build	VERB
easat-11220	167	8	a	a	DET
easat-11220	167	9	tree	tree	NOUN
easat-11220	167	10	,	,	PUNCT
easat-11220	167	11	xgboost	xgboost	ADV
easat-11220	167	12	selects	select	VERB
easat-11220	167	13	the	the	DET
easat-11220	167	14	split	split	NOUN
easat-11220	167	15	at	at	ADP
easat-11220	167	16	each	each	DET
easat-11220	167	17	node	node	NOUN
easat-11220	167	18	using	use	VERB
easat-11220	167	19	a	a	DET
easat-11220	167	20	criterion	criterion	NOUN
easat-11220	167	21	that	that	PRON
easat-11220	167	22	optimizes	optimize	VERB
easat-11220	167	23	the	the	DET
easat-11220	167	24	reduction	reduction	NOUN
easat-11220	167	25	of	of	ADP
easat-11220	167	26	the	the	DET
easat-11220	167	27	loss	loss	NOUN
easat-11220	167	28	function	function	NOUN
easat-11220	167	29	.	.	PUNCT
easat-11220	168	1	the	the	DET
easat-11220	168	2	reduction	reduction	NOUN
easat-11220	168	3	was	be	AUX
easat-11220	168	4	calculated	calculate	VERB
easat-11220	168	5	using	use	VERB
easat-11220	168	6	the	the	DET
easat-11220	168	7	following	follow	VERB
easat-11220	168	8	equation	equation	NOUN
easat-11220	168	9	:	:	PUNCT
easat-11220	168	10	gain	gain	NOUN
easat-11220	168	11	=	=	SYM
easat-11220	168	12	1	1	NUM
easat-11220	168	13	2	2	NUM
easat-11220	168	14	(	(	PUNCT
easat-11220	168	15	(	(	PUNCT
easat-11220	168	16	∑	∑	INTJ
easat-11220	168	17	𝑔)2	𝑔)2	PROPN
easat-11220	168	18	∑	∑	PUNCT
easat-11220	168	19	ℎ+𝜆	ℎ+𝜆	ADJ
easat-11220	168	20	−	−	PROPN
easat-11220	168	21	bias	bias	NOUN
easat-11220	168	22	)	)	PUNCT
easat-11220	168	23	(	(	PUNCT
easat-11220	168	24	10	10	NUM
easat-11220	168	25	)	)	PUNCT
easat-11220	168	26	once	once	SCONJ
easat-11220	168	27	all	all	DET
easat-11220	168	28	trees	tree	NOUN
easat-11220	168	29	were	be	AUX
easat-11220	168	30	generated	generate	VERB
easat-11220	168	31	,	,	PUNCT
easat-11220	168	32	the	the	DET
easat-11220	168	33	prediction	prediction	NOUN
easat-11220	168	34	was	be	AUX
easat-11220	168	35	derived	derive	VERB
easat-11220	168	36	by	by	ADP
easat-11220	168	37	aggregating	aggregate	VERB
easat-11220	168	38	the	the	DET
easat-11220	168	39	results	result	NOUN
easat-11220	168	40	from	from	ADP
easat-11220	168	41	every	every	DET
easat-11220	168	42	tree	tree	NOUN
easat-11220	168	43	using	use	VERB
easat-11220	168	44	the	the	DET
easat-11220	168	45	following	follow	VERB
easat-11220	168	46	formula	formula	NOUN
easat-11220	168	47	:	:	PUNCT
easat-11220	168	48	�	�	PROPN
easat-11220	168	49	̂	̂	NOUN
easat-11220	168	50	�	�	NOUN
easat-11220	168	51	=	=	SYM
easat-11220	168	52	∑	∑	PUNCT
easat-11220	168	53	𝑓𝑡(𝑥)𝑇	𝑓𝑡(𝑥)𝑇	X
easat-11220	168	54	𝑡=1	𝑡=1	PROPN
easat-11220	168	55	(	(	PUNCT
easat-11220	168	56	11	11	NUM
easat-11220	168	57	)	)	PUNCT
easat-11220	168	58	xgboost	xgboost	X
easat-11220	168	59	is	be	AUX
easat-11220	168	60	an	an	DET
easat-11220	168	61	efficient	efficient	ADJ
easat-11220	168	62	and	and	CCONJ
easat-11220	168	63	effective	effective	ADJ
easat-11220	168	64	algorithm	algorithm	NOUN
easat-11220	168	65	,	,	PUNCT
easat-11220	168	66	particularly	particularly	ADV
easat-11220	168	67	in	in	ADP
easat-11220	168	68	machine	machine	NOUN
easat-11220	168	69	learning	learning	NOUN
easat-11220	168	70	competitions	competition	NOUN
easat-11220	168	71	and	and	CCONJ
easat-11220	168	72	real	real	ADJ
easat-11220	168	73	-	-	PUNCT
easat-11220	168	74	world	world	NOUN
easat-11220	168	75	applications	application	NOUN
easat-11220	168	76	.	.	PUNCT
easat-11220	169	1	its	its	PRON
easat-11220	169	2	advantages	advantage	NOUN
easat-11220	169	3	lie	lie	VERB
easat-11220	169	4	in	in	ADP
easat-11220	169	5	its	its	PRON
easat-11220	169	6	ability	ability	NOUN
easat-11220	169	7	to	to	PART
easat-11220	169	8	handle	handle	VERB
easat-11220	169	9	large	large	ADJ
easat-11220	169	10	datasets	dataset	NOUN
easat-11220	169	11	and	and	CCONJ
easat-11220	169	12	model	model	NOUN
easat-11220	169	13	complexity	complexity	NOUN
easat-11220	169	14	effectively	effectively	ADV
easat-11220	169	15	,	,	PUNCT
easat-11220	169	16	due	due	ADP
easat-11220	169	17	to	to	ADP
easat-11220	169	18	the	the	DET
easat-11220	169	19	use	use	NOUN
easat-11220	169	20	of	of	ADP
easat-11220	169	21	regularization	regularization	NOUN
easat-11220	169	22	and	and	CCONJ
easat-11220	169	23	gradient	gradient	NOUN
easat-11220	169	24	-	-	PUNCT
easat-11220	169	25	based	base	VERB
easat-11220	169	26	optimization	optimization	NOUN
easat-11220	169	27	.	.	PUNCT
easat-11220	170	1	2.7	2.7	NUM
easat-11220	170	2	.	.	PUNCT
easat-11220	170	3	borneonet	borneonet	NOUN
easat-11220	170	4	a	a	DET
easat-11220	170	5	cnn	cnn	PROPN
easat-11220	170	6	is	be	AUX
easat-11220	170	7	an	an	DET
easat-11220	170	8	artificial	artificial	ADJ
easat-11220	170	9	neural	neural	ADJ
easat-11220	170	10	network	network	NOUN
easat-11220	170	11	used	use	VERB
easat-11220	170	12	for	for	ADP
easat-11220	170	13	pattern	pattern	NOUN
easat-11220	170	14	recognition	recognition	NOUN
easat-11220	170	15	,	,	PUNCT
easat-11220	170	16	classification	classification	NOUN
easat-11220	170	17	,	,	PUNCT
easat-11220	170	18	image	image	NOUN
easat-11220	170	19	processing	processing	NOUN
easat-11220	170	20	,	,	PUNCT
easat-11220	170	21	etc	etc	X
easat-11220	170	22	.	.	X
easat-11220	171	1	[	[	X
easat-11220	171	2	13	13	NUM
easat-11220	171	3	]	]	PUNCT
easat-11220	171	4	.	.	PUNCT
easat-11220	172	1	in	in	ADP
easat-11220	172	2	this	this	DET
easat-11220	172	3	study	study	NOUN
easat-11220	172	4	,	,	PUNCT
easat-11220	172	5	we	we	PRON
easat-11220	172	6	proposed	propose	VERB
easat-11220	172	7	a	a	DET
easat-11220	172	8	borneonet	borneonet	NOUN
easat-11220	172	9	architecture	architecture	NOUN
easat-11220	172	10	for	for	ADP
easat-11220	172	11	classifying	classify	VERB
easat-11220	172	12	the	the	DET
easat-11220	172	13	palm	palm	NOUN
easat-11220	172	14	-	-	PUNCT
easat-11220	172	15	ripeness	ripeness	NOUN
easat-11220	172	16	dataset	dataset	NOUN
easat-11220	172	17	.	.	PUNCT
easat-11220	173	1	since	since	SCONJ
easat-11220	173	2	the	the	DET
easat-11220	173	3	dataset	dataset	NOUN
easat-11220	173	4	size	size	NOUN
easat-11220	173	5	is	be	AUX
easat-11220	173	6	relatively	relatively	ADV
easat-11220	173	7	small	small	ADJ
easat-11220	173	8	and	and	CCONJ
easat-11220	173	9	conventional	conventional	ADJ
easat-11220	173	10	cnn	cnn	PROPN
easat-11220	173	11	models	model	NOUN
easat-11220	173	12	require	require	VERB
easat-11220	173	13	a	a	DET
easat-11220	173	14	large	large	ADJ
easat-11220	173	15	data	datum	NOUN
easat-11220	173	16	training	training	NOUN
easat-11220	173	17	sample	sample	NOUN
easat-11220	173	18	size	size	NOUN
easat-11220	173	19	,	,	PUNCT
easat-11220	173	20	our	our	PRON
easat-11220	173	21	proposed	propose	VERB
easat-11220	173	22	model	model	NOUN
easat-11220	173	23	is	be	AUX
easat-11220	173	24	suitable	suitable	ADJ
easat-11220	173	25	for	for	ADP
easat-11220	173	26	this	this	DET
easat-11220	173	27	study	study	NOUN
easat-11220	173	28	.	.	PUNCT
easat-11220	174	1	the	the	DET
easat-11220	174	2	borneonet	borneonet	NOUN
easat-11220	174	3	consists	consist	VERB
easat-11220	174	4	of	of	ADP
easat-11220	174	5	a	a	DET
easat-11220	174	6	shallow	shallow	ADJ
easat-11220	174	7	-	-	PUNCT
easat-11220	174	8	layer	layer	NOUN
easat-11220	174	9	architecture	architecture	NOUN
easat-11220	174	10	that	that	PRON
easat-11220	174	11	fulfils	fulfil	VERB
easat-11220	174	12	the	the	DET
easat-11220	174	13	needs	need	NOUN
easat-11220	174	14	of	of	ADP
easat-11220	174	15	a	a	DET
easat-11220	174	16	small	small	ADJ
easat-11220	174	17	dataset	dataset	NOUN
easat-11220	174	18	.	.	PUNCT
easat-11220	175	1	table	table	NOUN
easat-11220	175	2	1	1	NUM
easat-11220	175	3	summarizes	summarize	NOUN
easat-11220	175	4	the	the	DET
easat-11220	175	5	proposed	propose	VERB
easat-11220	175	6	borneonet	borneonet	NOUN
easat-11220	175	7	architecture	architecture	NOUN
easat-11220	175	8	.	.	PUNCT
easat-11220	176	1	table	table	NOUN
easat-11220	176	2	1	1	NUM
easat-11220	176	3	.	.	PUNCT
easat-11220	177	1	the	the	DET
easat-11220	177	2	proposed	propose	VERB
easat-11220	177	3	borneonet	borneonet	NOUN
easat-11220	177	4	architecture	architecture	NOUN
easat-11220	177	5	.	.	PUNCT
easat-11220	178	1	layer	layer	NOUN
easat-11220	178	2	type	type	NOUN
easat-11220	178	3	unit	unit	NOUN
easat-11220	178	4	/	/	SYM
easat-11220	178	5	nodes	node	NOUN
easat-11220	178	6	activation	activation	NOUN
easat-11220	178	7	additional	additional	ADJ
easat-11220	178	8	layers	layer	NOUN
easat-11220	178	9	input	input	NOUN
easat-11220	178	10	conv1	conv1	ADP
easat-11220	178	11	16	16	NUM
easat-11220	178	12	filters	filter	NOUN
easat-11220	178	13	,	,	PUNCT
easat-11220	178	14	3	3	NUM
easat-11220	178	15	×	×	NOUN
easat-11220	178	16	3	3	NUM
easat-11220	178	17	relu	relu	NOUN
easat-11220	178	18	batchnorm	batchnorm	NOUN
easat-11220	178	19	max	max	PROPN
easat-11220	178	20	pooling	pool	VERB
easat-11220	178	21	2	2	NUM
easat-11220	178	22	×	×	NOUN
easat-11220	178	23	2	2	NUM
easat-11220	178	24	pool_size	pool_size	NOUN
easat-11220	178	25	conv2	conv2	NOUN
easat-11220	179	1	32	32	NUM
easat-11220	179	2	filters	filter	NOUN
easat-11220	179	3	,	,	PUNCT
easat-11220	179	4	3	3	NUM
easat-11220	179	5	×	×	NOUN
easat-11220	179	6	3	3	NUM
easat-11220	179	7	relu	relu	NOUN
easat-11220	179	8	batchnorm	batchnorm	NOUN
easat-11220	179	9	max	max	PROPN
easat-11220	179	10	pooling	pool	VERB
easat-11220	179	11	2×2	2×2	NUM
easat-11220	179	12	pool_size	pool_size	NOUN
easat-11220	179	13	conv3	conv3	NOUN
easat-11220	179	14	64	64	NUM
easat-11220	179	15	filters	filter	NOUN
easat-11220	179	16	,	,	PUNCT
easat-11220	179	17	3	3	NUM
easat-11220	179	18	×	×	NOUN
easat-11220	179	19	3	3	NUM
easat-11220	179	20	relu	relu	NOUN
easat-11220	179	21	batchnorm	batchnorm	NOUN
easat-11220	179	22	max	max	PROPN
easat-11220	179	23	pooling	pool	VERB
easat-11220	179	24	2	2	NUM
easat-11220	179	25	×	×	NOUN
easat-11220	179	26	2	2	NUM
easat-11220	179	27	pool_size	pool_size	NOUN
easat-11220	179	28	fc1	fc1	PROPN
easat-11220	179	29	128	128	NUM
easat-11220	179	30	dropout	dropout	NOUN
easat-11220	179	31	(	(	PUNCT
easat-11220	179	32	50	50	NUM
easat-11220	179	33	%	%	NOUN
easat-11220	179	34	)	)	PUNCT
easat-11220	179	35	fc2	fc2	PROPN
easat-11220	179	36	3	3	NUM
easat-11220	179	37	the	the	DET
easat-11220	179	38	input	input	NOUN
easat-11220	179	39	size	size	NOUN
easat-11220	179	40	was	be	AUX
easat-11220	179	41	100	100	NUM
easat-11220	179	42	×	×	NOUN
easat-11220	179	43	100	100	NUM
easat-11220	179	44	with	with	ADP
easat-11220	179	45	three	three	NUM
easat-11220	179	46	-	-	PUNCT
easat-11220	179	47	channel	channel	NOUN
easat-11220	179	48	rgb	rgb	PROPN
easat-11220	179	49	images	image	NOUN
easat-11220	179	50	of	of	ADP
easat-11220	179	51	palm	palm	NOUN
easat-11220	179	52	fruits	fruit	NOUN
easat-11220	179	53	.	.	PUNCT
easat-11220	180	1	the	the	DET
easat-11220	180	2	borneonet	borneonet	NOUN
easat-11220	180	3	model	model	NOUN
easat-11220	180	4	is	be	AUX
easat-11220	180	5	a	a	DET
easat-11220	180	6	convolutional	convolutional	ADJ
easat-11220	180	7	neural	neural	ADJ
easat-11220	180	8	network	network	NOUN
easat-11220	180	9	designed	design	VERB
easat-11220	180	10	for	for	ADP
easat-11220	180	11	classifying	classify	VERB
easat-11220	180	12	palm	palm	NOUN
easat-11220	180	13	fruit	fruit	NOUN
easat-11220	180	14	ripeness	ripeness	NOUN
easat-11220	180	15	into	into	ADP
easat-11220	180	16	three	three	NUM
easat-11220	180	17	categories	category	NOUN
easat-11220	180	18	:	:	PUNCT
easat-11220	180	19	ripe	ripe	ADJ
easat-11220	180	20	,	,	PUNCT
easat-11220	180	21	half	half	ADJ
easat-11220	180	22	-	-	PUNCT
easat-11220	180	23	ripe	ripe	ADJ
easat-11220	180	24	,	,	PUNCT
easat-11220	180	25	and	and	CCONJ
easat-11220	180	26	unripe	unripe	NOUN
easat-11220	180	27	.	.	PUNCT
easat-11220	181	1	the	the	DET
easat-11220	181	2	architecture	architecture	NOUN
easat-11220	181	3	model	model	NOUN
easat-11220	181	4	includes	include	VERB
easat-11220	181	5	three	three	NUM
easat-11220	181	6	convolutional	convolutional	ADJ
easat-11220	181	7	layers	layer	NOUN
easat-11220	181	8	and	and	CCONJ
easat-11220	181	9	then	then	ADV
easat-11220	181	10	fully	fully	ADV
easat-11220	181	11	connected	connected	ADJ
easat-11220	181	12	layers	layer	NOUN
easat-11220	181	13	.	.	PUNCT
easat-11220	182	1	we	we	PRON
easat-11220	182	2	applied	apply	VERB
easat-11220	182	3	batch	batch	NOUN
easat-11220	182	4	normalization	normalization	NOUN
easat-11220	182	5	and	and	CCONJ
easat-11220	182	6	max	max	PROPN
easat-11220	182	7	pooling	pool	VERB
easat-11220	182	8	after	after	ADP
easat-11220	182	9	each	each	DET
easat-11220	182	10	convolutional	convolutional	ADJ
easat-11220	182	11	layer	layer	NOUN
easat-11220	182	12	to	to	PART
easat-11220	182	13	decrease	decrease	VERB
easat-11220	182	14	the	the	DET
easat-11220	182	15	dimensions	dimension	NOUN
easat-11220	182	16	spatially	spatially	ADV
easat-11220	182	17	while	while	SCONJ
easat-11220	182	18	preserving	preserve	VERB
easat-11220	182	19	essential	essential	ADJ
easat-11220	182	20	features	feature	NOUN
easat-11220	182	21	for	for	ADP
easat-11220	182	22	the	the	DET
easat-11220	182	23	classification	classification	NOUN
easat-11220	182	24	task	task	NOUN
easat-11220	182	25	.	.	PUNCT
easat-11220	183	1	the	the	DET
easat-11220	183	2	input	input	NOUN
easat-11220	183	3	layer	layer	NOUN
easat-11220	183	4	accepts	accept	VERB
easat-11220	183	5	rgb	rgb	PROPN
easat-11220	183	6	images	image	NOUN
easat-11220	183	7	with	with	ADP
easat-11220	183	8	three	three	NUM
easat-11220	183	9	channels	channel	NOUN
easat-11220	183	10	that	that	PRON
easat-11220	183	11	represent	represent	VERB
easat-11220	183	12	the	the	DET
easat-11220	183	13	red	red	ADJ
easat-11220	183	14	,	,	PUNCT
easat-11220	183	15	green	green	ADJ
easat-11220	183	16	,	,	PUNCT
easat-11220	183	17	and	and	CCONJ
easat-11220	183	18	blue	blue	ADJ
easat-11220	183	19	components	component	NOUN
easat-11220	183	20	of	of	ADP
easat-11220	183	21	the	the	DET
easat-11220	183	22	image	image	NOUN
easat-11220	183	23	.	.	PUNCT
easat-11220	184	1	the	the	DET
easat-11220	184	2	first	first	ADJ
easat-11220	184	3	convolutional	convolutional	ADJ
easat-11220	184	4	layer	layer	NOUN
easat-11220	184	5	(	(	PUNCT
easat-11220	184	6	conv1	conv1	PROPN
easat-11220	184	7	)	)	PUNCT
easat-11220	184	8	applies	apply	VERB
easat-11220	184	9	16	16	NUM
easat-11220	184	10	filters	filter	NOUN
easat-11220	184	11	with	with	ADP
easat-11220	184	12	a	a	DET
easat-11220	184	13	3×3	3×3	NUM
easat-11220	184	14	kernel	kernel	NOUN
easat-11220	184	15	using	use	VERB
easat-11220	184	16	relu	relu	NOUN
easat-11220	184	17	as	as	SCONJ
easat-11220	184	18	the	the	DET
easat-11220	184	19	activation	activation	NOUN
easat-11220	184	20	function	function	VERB
easat-11220	184	21	to	to	PART
easat-11220	184	22	introduce	introduce	VERB
easat-11220	184	23	nonlinearity	nonlinearity	NOUN
easat-11220	184	24	.	.	PUNCT
easat-11220	185	1	batch	batch	NOUN
easat-11220	185	2	normalization	normalization	NOUN
easat-11220	185	3	follows	follow	VERB
easat-11220	185	4	this	this	DET
easat-11220	185	5	layer	layer	NOUN
easat-11220	185	6	to	to	PART
easat-11220	185	7	improve	improve	VERB
easat-11220	185	8	training	train	VERB
easat-11220	185	9	stability	stability	NOUN
easat-11220	185	10	.	.	PUNCT
easat-11220	186	1	a	a	DET
easat-11220	186	2	2×2	2×2	NUM
easat-11220	186	3	max	max	NOUN
easat-11220	186	4	pooling	pooling	NOUN
easat-11220	186	5	with	with	ADP
easat-11220	186	6	a	a	DET
easat-11220	186	7	stride	stride	NOUN
easat-11220	186	8	of	of	ADP
easat-11220	186	9	2	2	NUM
easat-11220	186	10	reduces	reduce	VERB
easat-11220	186	11	the	the	DET
easat-11220	186	12	spatial	spatial	ADJ
easat-11220	186	13	size	size	NOUN
easat-11220	186	14	by	by	ADP
easat-11220	186	15	half	half	NOUN
easat-11220	186	16	.	.	PUNCT
easat-11220	187	1	second	second	ADJ
easat-11220	187	2	convolutional	convolutional	ADJ
easat-11220	187	3	layer	layer	NOUN
easat-11220	187	4	(	(	PUNCT
easat-11220	187	5	conv2	conv2	X
easat-11220	187	6	)	)	PUNCT
easat-11220	187	7	uses	use	VERB
easat-11220	187	8	32	32	NUM
easat-11220	187	9	filters	filter	NOUN
easat-11220	187	10	with	with	ADP
easat-11220	187	11	a	a	DET
easat-11220	187	12	3	3	NUM
easat-11220	187	13	×	×	NOUN
easat-11220	187	14	3	3	NUM
easat-11220	187	15	kernel	kernel	NOUN
easat-11220	187	16	,	,	PUNCT
easat-11220	187	17	followed	follow	VERB
easat-11220	187	18	by	by	ADP
easat-11220	187	19	relu	relu	NOUN
easat-11220	187	20	activation	activation	NOUN
easat-11220	187	21	and	and	CCONJ
easat-11220	187	22	batch	batch	NOUN
easat-11220	187	23	normalization	normalization	NOUN
easat-11220	187	24	.	.	PUNCT
easat-11220	188	1	a	a	DET
easat-11220	188	2	second	second	ADJ
easat-11220	188	3	2	2	NUM
easat-11220	188	4	×	×	NOUN
easat-11220	188	5	2	2	NUM
easat-11220	188	6	max	max	NOUN
easat-11220	188	7	pooling	pooling	NOUN
easat-11220	188	8	layer	layer	NOUN
easat-11220	188	9	reduces	reduce	VERB
easat-11220	188	10	the	the	DET
easat-11220	188	11	height	height	NOUN
easat-11220	188	12	and	and	CCONJ
easat-11220	188	13	width	width	NOUN
easat-11220	188	14	.	.	PUNCT
easat-11220	189	1	the	the	DET
easat-11220	189	2	third	third	ADJ
easat-11220	189	3	convolutional	convolutional	ADJ
easat-11220	189	4	layer	layer	NOUN
easat-11220	189	5	(	(	PUNCT
easat-11220	189	6	conv3	conv3	NOUN
easat-11220	189	7	)	)	PUNCT
easat-11220	189	8	uses	use	VERB
easat-11220	189	9	64	64	NUM
easat-11220	189	10	filters	filter	NOUN
easat-11220	189	11	,	,	PUNCT
easat-11220	189	12	with	with	ADP
easat-11220	189	13	the	the	DET
easat-11220	189	14	same	same	ADJ
easat-11220	189	15	kernel	kernel	NOUN
easat-11220	189	16	size	size	NOUN
easat-11220	189	17	and	and	CCONJ
easat-11220	189	18	activation	activation	NOUN
easat-11220	189	19	,	,	PUNCT
easat-11220	189	20	before	before	ADP
easat-11220	189	21	batch	batch	NOUN
easat-11220	189	22	normalization	normalization	NOUN
easat-11220	189	23	and	and	CCONJ
easat-11220	189	24	the	the	DET
easat-11220	189	25	final	final	ADJ
easat-11220	189	26	max	max	PROPN
easat-11220	189	27	pooling	pool	VERB
easat-11220	189	28	layer	layer	NOUN
easat-11220	189	29	.	.	PUNCT
easat-11220	190	1	1396	1396	NUM
easat-11220	190	2	edelweiss	edelweiss	PROPN
easat-11220	190	3	applied	apply	VERB
easat-11220	190	4	science	science	NOUN
easat-11220	190	5	and	and	CCONJ
easat-11220	190	6	technology	technology	NOUN
easat-11220	190	7	issn	issn	PROPN
easat-11220	190	8	:	:	PUNCT
easat-11220	190	9	2576	2576	NUM
easat-11220	190	10	-	-	SYM
easat-11220	190	11	8484	8484	NUM
easat-11220	190	12	vol	vol	NOUN
easat-11220	190	13	.	.	PROPN
easat-11220	191	1	9	9	NUM
easat-11220	191	2	,	,	PUNCT
easat-11220	191	3	no	no	INTJ
easat-11220	191	4	.	.	NOUN
easat-11220	191	5	11	11	NUM
easat-11220	191	6	:	:	PUNCT
easat-11220	191	7	1389	1389	NUM
easat-11220	191	8	-	-	SYM
easat-11220	191	9	1401	1401	NUM
easat-11220	191	10	,	,	PUNCT
easat-11220	191	11	2025	2025	NUM
easat-11220	191	12	doi	doi	NOUN
easat-11220	191	13	:	:	PUNCT
easat-11220	191	14	10.55214/2576	10.55214/2576	NUM
easat-11220	191	15	-	-	SYM
easat-11220	191	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	192	1	©	©	PROPN
easat-11220	192	2	2025	2025	NUM
easat-11220	192	3	by	by	ADP
easat-11220	192	4	the	the	DET
easat-11220	192	5	authors	author	NOUN
easat-11220	192	6	;	;	PUNCT
easat-11220	192	7	licensee	licensee	PROPN
easat-11220	192	8	learning	learning	NOUN
easat-11220	192	9	gate	gate	VERB
easat-11220	192	10	one	one	NUM
easat-11220	192	11	more	more	ADV
easat-11220	192	12	fully	fully	ADV
easat-11220	192	13	connected	connected	ADJ
easat-11220	192	14	layer	layer	NOUN
easat-11220	192	15	(	(	PUNCT
easat-11220	192	16	fc1	fc1	PROPN
easat-11220	192	17	)	)	PUNCT
easat-11220	192	18	is	be	AUX
easat-11220	192	19	added	add	VERB
easat-11220	192	20	after	after	ADP
easat-11220	192	21	flattening	flatten	VERB
easat-11220	192	22	the	the	DET
easat-11220	192	23	feature	feature	NOUN
easat-11220	192	24	maps	map	NOUN
easat-11220	192	25	by	by	ADP
easat-11220	192	26	the	the	DET
easat-11220	192	27	network	network	NOUN
easat-11220	192	28	,	,	PUNCT
easat-11220	192	29	with	with	ADP
easat-11220	192	30	128	128	NUM
easat-11220	192	31	units	unit	NOUN
easat-11220	192	32	and	and	CCONJ
easat-11220	192	33	a	a	DET
easat-11220	192	34	relu	relu	NOUN
easat-11220	192	35	activation	activation	NOUN
easat-11220	192	36	function	function	NOUN
easat-11220	192	37	.	.	PUNCT
easat-11220	193	1	to	to	PART
easat-11220	193	2	prevent	prevent	VERB
easat-11220	193	3	overfitting	overfitting	NOUN
easat-11220	193	4	,	,	PUNCT
easat-11220	193	5	a	a	DET
easat-11220	193	6	dropout	dropout	NOUN
easat-11220	193	7	layer	layer	NOUN
easat-11220	193	8	with	with	ADP
easat-11220	193	9	a	a	DET
easat-11220	193	10	rate	rate	NOUN
easat-11220	193	11	of	of	ADP
easat-11220	193	12	50	50	NUM
easat-11220	193	13	%	%	NOUN
easat-11220	193	14	was	be	AUX
easat-11220	193	15	applied	apply	VERB
easat-11220	193	16	.	.	PUNCT
easat-11220	194	1	the	the	DET
easat-11220	194	2	last	last	ADJ
easat-11220	194	3	fully	fully	ADV
easat-11220	194	4	connected	connect	VERB
easat-11220	194	5	layer	layer	NOUN
easat-11220	194	6	(	(	PUNCT
easat-11220	194	7	fc2	fc2	NOUN
easat-11220	194	8	)	)	PUNCT
easat-11220	194	9	presents	present	VERB
easat-11220	194	10	class	class	NOUN
easat-11220	194	11	scores	score	NOUN
easat-11220	194	12	for	for	ADP
easat-11220	194	13	three	three	NUM
easat-11220	194	14	ripeness	ripeness	NOUN
easat-11220	194	15	categories	category	NOUN
easat-11220	194	16	:	:	PUNCT
easat-11220	194	17	ripe	ripe	ADJ
easat-11220	194	18	,	,	PUNCT
easat-11220	194	19	half	half	NOUN
easat-11220	194	20	ripe	ripe	ADJ
easat-11220	194	21	,	,	PUNCT
easat-11220	194	22	and	and	CCONJ
easat-11220	194	23	unripe	unripe	NOUN
easat-11220	194	24	.	.	PUNCT
easat-11220	195	1	this	this	DET
easat-11220	195	2	architecture	architecture	NOUN
easat-11220	195	3	was	be	AUX
easat-11220	195	4	designed	design	VERB
easat-11220	195	5	to	to	PART
easat-11220	195	6	balance	balance	VERB
easat-11220	195	7	performance	performance	NOUN
easat-11220	195	8	and	and	CCONJ
easat-11220	195	9	computational	computational	ADJ
easat-11220	195	10	efficiency	efficiency	NOUN
easat-11220	195	11	.	.	PUNCT
easat-11220	196	1	the	the	DET
easat-11220	196	2	use	use	NOUN
easat-11220	196	3	of	of	ADP
easat-11220	196	4	shallow	shallow	ADJ
easat-11220	196	5	layers	layer	NOUN
easat-11220	196	6	allows	allow	VERB
easat-11220	196	7	the	the	DET
easat-11220	196	8	model	model	NOUN
easat-11220	196	9	to	to	PART
easat-11220	196	10	extract	extract	VERB
easat-11220	196	11	relevant	relevant	ADJ
easat-11220	196	12	features	feature	NOUN
easat-11220	196	13	while	while	SCONJ
easat-11220	196	14	maintaining	maintain	VERB
easat-11220	196	15	a	a	DET
easat-11220	196	16	low	low	ADJ
easat-11220	196	17	computational	computational	ADJ
easat-11220	196	18	footprint	footprint	NOUN
easat-11220	196	19	.	.	PUNCT
easat-11220	197	1	while	while	SCONJ
easat-11220	197	2	batch	batch	NOUN
easat-11220	197	3	normalization	normalization	NOUN
easat-11220	197	4	aids	aid	NOUN
easat-11220	197	5	in	in	ADP
easat-11220	197	6	stabilizing	stabilize	VERB
easat-11220	197	7	the	the	DET
easat-11220	197	8	learning	learning	NOUN
easat-11220	197	9	process	process	NOUN
easat-11220	197	10	,	,	PUNCT
easat-11220	197	11	dropout	dropout	NOUN
easat-11220	197	12	contributes	contribute	VERB
easat-11220	197	13	to	to	ADP
easat-11220	197	14	the	the	DET
easat-11220	197	15	model	model	NOUN
easat-11220	197	16	's	's	PART
easat-11220	197	17	ability	ability	NOUN
easat-11220	197	18	to	to	PART
easat-11220	197	19	handle	handle	VERB
easat-11220	197	20	unseen	unseen	ADJ
easat-11220	197	21	data	datum	NOUN
easat-11220	197	22	.	.	PUNCT
easat-11220	198	1	3	3	X
easat-11220	198	2	.	.	NOUN
easat-11220	198	3	results	result	NOUN
easat-11220	198	4	and	and	CCONJ
easat-11220	198	5	discussion	discussion	NOUN
easat-11220	198	6	this	this	DET
easat-11220	198	7	research	research	NOUN
easat-11220	198	8	utilized	utilize	VERB
easat-11220	198	9	the	the	DET
easat-11220	198	10	borneonet	borneonet	NOUN
easat-11220	198	11	model	model	NOUN
easat-11220	198	12	to	to	PART
easat-11220	198	13	classify	classify	VERB
easat-11220	198	14	the	the	DET
easat-11220	198	15	ripeness	ripeness	NOUN
easat-11220	198	16	of	of	ADP
easat-11220	198	17	palm	palm	NOUN
easat-11220	198	18	fruit	fruit	NOUN
easat-11220	198	19	using	use	VERB
easat-11220	198	20	image	image	NOUN
easat-11220	198	21	processing	processing	NOUN
easat-11220	198	22	.	.	PUNCT
easat-11220	199	1	the	the	DET
easat-11220	199	2	dataset	dataset	NOUN
easat-11220	199	3	was	be	AUX
easat-11220	199	4	split	split	VERB
easat-11220	199	5	into	into	ADP
easat-11220	199	6	three	three	NUM
easat-11220	199	7	parts	part	NOUN
easat-11220	199	8	:	:	PUNCT
easat-11220	199	9	a	a	DET
easat-11220	199	10	training	training	NOUN
easat-11220	199	11	set	set	NOUN
easat-11220	199	12	(	(	PUNCT
easat-11220	199	13	50	50	NUM
easat-11220	199	14	%	%	NOUN
easat-11220	199	15	)	)	PUNCT
easat-11220	199	16	,	,	PUNCT
easat-11220	199	17	a	a	DET
easat-11220	199	18	validation	validation	NOUN
easat-11220	199	19	set	set	NOUN
easat-11220	199	20	(	(	PUNCT
easat-11220	199	21	25	25	NUM
easat-11220	199	22	%	%	NOUN
easat-11220	199	23	)	)	PUNCT
easat-11220	199	24	,	,	PUNCT
easat-11220	199	25	and	and	CCONJ
easat-11220	199	26	a	a	DET
easat-11220	199	27	testing	testing	NOUN
easat-11220	199	28	set	set	NOUN
easat-11220	199	29	(	(	PUNCT
easat-11220	199	30	25	25	NUM
easat-11220	199	31	%	%	NOUN
easat-11220	199	32	)	)	PUNCT
easat-11220	199	33	.	.	PUNCT
easat-11220	200	1	the	the	DET
easat-11220	200	2	results	result	NOUN
easat-11220	200	3	for	for	ADP
easat-11220	200	4	classifying	classify	VERB
easat-11220	200	5	the	the	DET
easat-11220	200	6	ripening	ripening	NOUN
easat-11220	200	7	of	of	ADP
easat-11220	200	8	palm	palm	NOUN
easat-11220	200	9	fruit	fruit	NOUN
easat-11220	200	10	with	with	ADP
easat-11220	200	11	the	the	DET
easat-11220	200	12	use	use	NOUN
easat-11220	200	13	of	of	ADP
easat-11220	200	14	an	an	DET
easat-11220	200	15	imageprocessing	imageprocesse	VERB
easat-11220	200	16	method	method	NOUN
easat-11220	200	17	are	be	AUX
easat-11220	200	18	described	describe	VERB
easat-11220	200	19	here	here	ADV
easat-11220	200	20	.	.	PUNCT
easat-11220	201	1	a	a	DET
easat-11220	201	2	review	review	NOUN
easat-11220	201	3	and	and	CCONJ
easat-11220	201	4	assessment	assessment	NOUN
easat-11220	201	5	of	of	ADP
easat-11220	201	6	the	the	DET
easat-11220	201	7	results	result	NOUN
easat-11220	201	8	obtained	obtain	VERB
easat-11220	201	9	in	in	ADP
easat-11220	201	10	the	the	DET
easat-11220	201	11	processing	processing	NOUN
easat-11220	201	12	and	and	CCONJ
easat-11220	201	13	classification	classification	NOUN
easat-11220	201	14	stages	stage	NOUN
easat-11220	201	15	will	will	AUX
easat-11220	201	16	be	be	AUX
easat-11220	201	17	performed	perform	VERB
easat-11220	201	18	.	.	PUNCT
easat-11220	202	1	3.1	3.1	NUM
easat-11220	202	2	.	.	PUNCT
easat-11220	202	3	borneonet	borneonet	NOUN
easat-11220	202	4	training	training	NOUN
easat-11220	202	5	performance	performance	NOUN
easat-11220	202	6	figure	figure	NOUN
easat-11220	202	7	3	3	NUM
easat-11220	202	8	depicts	depict	VERB
easat-11220	202	9	the	the	DET
easat-11220	202	10	training	training	NOUN
easat-11220	202	11	and	and	CCONJ
easat-11220	202	12	validation	validation	NOUN
easat-11220	202	13	performance	performance	NOUN
easat-11220	202	14	of	of	ADP
easat-11220	202	15	the	the	DET
easat-11220	202	16	borneonet	borneonet	NOUN
easat-11220	202	17	model	model	NOUN
easat-11220	202	18	.	.	PUNCT
easat-11220	203	1	the	the	DET
easat-11220	203	2	training	training	NOUN
easat-11220	203	3	loss	loss	NOUN
easat-11220	203	4	initially	initially	ADV
easat-11220	203	5	decreased	decrease	VERB
easat-11220	203	6	rapidly	rapidly	ADV
easat-11220	203	7	and	and	CCONJ
easat-11220	203	8	then	then	ADV
easat-11220	203	9	plateaued	plateaue	VERB
easat-11220	203	10	at	at	ADP
easat-11220	203	11	a	a	DET
easat-11220	203	12	lower	low	ADJ
easat-11220	203	13	value	value	NOUN
easat-11220	203	14	.	.	PUNCT
easat-11220	204	1	training	training	NOUN
easat-11220	204	2	accuracy	accuracy	NOUN
easat-11220	204	3	steadily	steadily	ADV
easat-11220	204	4	increased	increase	VERB
easat-11220	204	5	,	,	PUNCT
easat-11220	204	6	exceeding	exceed	VERB
easat-11220	204	7	90	90	NUM
easat-11220	204	8	%	%	NOUN
easat-11220	204	9	.	.	PUNCT
easat-11220	205	1	while	while	SCONJ
easat-11220	205	2	validation	validation	NOUN
easat-11220	205	3	accuracy	accuracy	NOUN
easat-11220	205	4	showed	show	VERB
easat-11220	205	5	some	some	DET
easat-11220	205	6	fluctuations	fluctuation	NOUN
easat-11220	205	7	between	between	ADP
easat-11220	205	8	70	70	NUM
easat-11220	205	9	-	-	SYM
easat-11220	205	10	80	80	NUM
easat-11220	205	11	%	%	NOUN
easat-11220	205	12	,	,	PUNCT
easat-11220	205	13	indicating	indicate	VERB
easat-11220	205	14	good	good	ADJ
easat-11220	205	15	generalization	generalization	NOUN
easat-11220	205	16	,	,	PUNCT
easat-11220	205	17	it	it	PRON
easat-11220	205	18	was	be	AUX
easat-11220	205	19	not	not	PART
easat-11220	205	20	entirely	entirely	ADV
easat-11220	205	21	consistent	consistent	ADJ
easat-11220	205	22	during	during	ADP
easat-11220	205	23	the	the	DET
easat-11220	205	24	training	training	NOUN
easat-11220	205	25	process	process	NOUN
easat-11220	205	26	.	.	PUNCT
easat-11220	206	1	figure	figure	NOUN
easat-11220	206	2	3	3	NUM
easat-11220	206	3	.	.	PUNCT
easat-11220	206	4	borneonet	borneonet	NOUN
easat-11220	206	5	training	training	NOUN
easat-11220	206	6	-	-	PUNCT
easat-11220	206	7	validation	validation	NOUN
easat-11220	206	8	performance	performance	NOUN
easat-11220	206	9	3.2	3.2	NUM
easat-11220	206	10	.	.	PUNCT
easat-11220	207	1	benchmarking	benchmarke	VERB
easat-11220	207	2	of	of	ADP
easat-11220	207	3	models	model	NOUN
easat-11220	207	4	we	we	PRON
easat-11220	207	5	evaluated	evaluate	VERB
easat-11220	207	6	six	six	NUM
easat-11220	207	7	models	model	NOUN
easat-11220	207	8	:	:	PUNCT
easat-11220	207	9	knn	knn	PROPN
easat-11220	207	10	,	,	PUNCT
easat-11220	207	11	naive	naive	ADJ
easat-11220	207	12	bayes	bayes	NOUN
easat-11220	207	13	,	,	PUNCT
easat-11220	207	14	svm	svm	ADJ
easat-11220	207	15	,	,	PUNCT
easat-11220	207	16	random	random	ADJ
easat-11220	207	17	forest	forest	NOUN
easat-11220	207	18	,	,	PUNCT
easat-11220	207	19	xgboost	xgboost	ADV
easat-11220	207	20	,	,	PUNCT
easat-11220	207	21	and	and	CCONJ
easat-11220	207	22	our	our	PRON
easat-11220	207	23	newly	newly	ADV
easat-11220	207	24	proposed	propose	VERB
easat-11220	207	25	model	model	NOUN
easat-11220	207	26	,	,	PUNCT
easat-11220	207	27	borneonet	borneonet	NOUN
easat-11220	207	28	.	.	PUNCT
easat-11220	208	1	the	the	DET
easat-11220	208	2	evaluation	evaluation	NOUN
easat-11220	208	3	was	be	AUX
easat-11220	208	4	conducted	conduct	VERB
easat-11220	208	5	using	use	VERB
easat-11220	208	6	five	five	NUM
easat-11220	208	7	key	key	ADJ
easat-11220	208	8	performance	performance	NOUN
easat-11220	208	9	metrics	metric	NOUN
easat-11220	208	10	:	:	PUNCT
easat-11220	208	11	accuracy	accuracy	NOUN
easat-11220	208	12	,	,	PUNCT
easat-11220	208	13	precision	precision	NOUN
easat-11220	208	14	,	,	PUNCT
easat-11220	208	15	recall	recall	NOUN
easat-11220	208	16	,	,	PUNCT
easat-11220	208	17	f1	f1	NOUN
easat-11220	208	18	-	-	PUNCT
easat-11220	208	19	score	score	NOUN
easat-11220	208	20	,	,	PUNCT
easat-11220	208	21	and	and	CCONJ
easat-11220	208	22	kappa	kappa	PROPN
easat-11220	208	23	.	.	PUNCT
easat-11220	209	1	these	these	DET
easat-11220	209	2	metrics	metric	NOUN
easat-11220	209	3	were	be	AUX
easat-11220	209	4	utilized	utilize	VERB
easat-11220	209	5	to	to	PART
easat-11220	209	6	assess	assess	VERB
easat-11220	209	7	the	the	DET
easat-11220	209	8	capability	capability	NOUN
easat-11220	209	9	of	of	ADP
easat-11220	209	10	each	each	DET
easat-11220	209	11	model	model	NOUN
easat-11220	209	12	in	in	ADP
easat-11220	209	13	classifying	classify	VERB
easat-11220	209	14	palm	palm	NOUN
easat-11220	209	15	fruit	fruit	NOUN
easat-11220	209	16	ripeness	ripeness	NOUN
easat-11220	209	17	into	into	ADP
easat-11220	209	18	three	three	NUM
easat-11220	209	19	categories	category	NOUN
easat-11220	209	20	:	:	PUNCT
easat-11220	209	21	ripe	ripe	ADJ
easat-11220	209	22	,	,	PUNCT
easat-11220	209	23	half	half	ADJ
easat-11220	209	24	-	-	PUNCT
easat-11220	209	25	ripe	ripe	ADJ
easat-11220	209	26	,	,	PUNCT
easat-11220	209	27	and	and	CCONJ
easat-11220	209	28	unripe	unripe	NOUN
easat-11220	209	29	.	.	PUNCT
easat-11220	210	1	further	further	ADJ
easat-11220	210	2	details	detail	NOUN
easat-11220	210	3	on	on	ADP
easat-11220	210	4	each	each	DET
easat-11220	210	5	metric	metric	NOUN
easat-11220	210	6	are	be	AUX
easat-11220	210	7	provided	provide	VERB
easat-11220	210	8	in	in	ADP
easat-11220	210	9	table	table	NOUN
easat-11220	210	10	2	2	NUM
easat-11220	210	11	.	.	PUNCT
easat-11220	211	1	the	the	DET
easat-11220	211	2	borneonet	borneonet	NOUN
easat-11220	211	3	demonstrated	demonstrate	VERB
easat-11220	211	4	the	the	DET
easat-11220	211	5	highest	high	ADJ
easat-11220	211	6	accuracy	accuracy	NOUN
easat-11220	211	7	at	at	ADP
easat-11220	211	8	81.25	81.25	NUM
easat-11220	211	9	%	%	NOUN
easat-11220	211	10	,	,	PUNCT
easat-11220	211	11	indicating	indicate	VERB
easat-11220	211	12	that	that	SCONJ
easat-11220	211	13	it	it	PRON
easat-11220	211	14	correctly	correctly	ADV
easat-11220	211	15	classified	classify	VERB
easat-11220	211	16	the	the	DET
easat-11220	211	17	ripeness	ripeness	NOUN
easat-11220	211	18	of	of	ADP
easat-11220	211	19	palm	palm	NOUN
easat-11220	211	20	fruits	fruit	NOUN
easat-11220	211	21	more	more	ADV
easat-11220	211	22	frequently	frequently	ADV
easat-11220	211	23	than	than	ADP
easat-11220	211	24	the	the	DET
easat-11220	211	25	other	other	ADJ
easat-11220	211	26	models	model	NOUN
easat-11220	211	27	.	.	PUNCT
easat-11220	212	1	svm	svm	PROPN
easat-11220	212	2	followed	follow	VERB
easat-11220	212	3	with	with	ADP
easat-11220	212	4	76.56	76.56	NUM
easat-11220	212	5	%	%	NOUN
easat-11220	212	6	accuracy	accuracy	NOUN
easat-11220	212	7	,	,	PUNCT
easat-11220	212	8	which	which	PRON
easat-11220	212	9	is	be	AUX
easat-11220	212	10	also	also	ADV
easat-11220	212	11	relatively	relatively	ADV
easat-11220	212	12	high	high	ADJ
easat-11220	212	13	but	but	CCONJ
easat-11220	212	14	significantly	significantly	ADV
easat-11220	212	15	lower	low	ADJ
easat-11220	212	16	than	than	ADP
easat-11220	212	17	that	that	PRON
easat-11220	212	18	of	of	ADP
easat-11220	212	19	borneonet	borneonet	NOUN
easat-11220	212	20	.	.	PUNCT
easat-11220	213	1	knn	knn	PROPN
easat-11220	213	2	and	and	CCONJ
easat-11220	213	3	random	random	ADJ
easat-11220	213	4	forest	forest	NOUN
easat-11220	213	5	both	both	PRON
easat-11220	213	6	achieved	achieve	VERB
easat-11220	213	7	a	a	DET
easat-11220	213	8	moderate	moderate	ADJ
easat-11220	213	9	accuracy	accuracy	NOUN
easat-11220	213	10	of	of	ADP
easat-11220	213	11	62.50	62.50	NUM
easat-11220	213	12	%	%	NOUN
easat-11220	213	13	.	.	PUNCT
easat-11220	214	1	xgboost	xgboost	ADV
easat-11220	214	2	slightly	slightly	ADV
easat-11220	214	3	outperformed	outperform	VERB
easat-11220	214	4	these	these	DET
easat-11220	214	5	models	model	NOUN
easat-11220	214	6	with	with	ADP
easat-11220	214	7	1397	1397	NUM
easat-11220	214	8	edelweiss	edelweiss	PROPN
easat-11220	214	9	applied	apply	VERB
easat-11220	214	10	science	science	NOUN
easat-11220	214	11	and	and	CCONJ
easat-11220	214	12	technology	technology	NOUN
easat-11220	214	13	issn	issn	PROPN
easat-11220	214	14	:	:	PUNCT
easat-11220	214	15	2576	2576	NUM
easat-11220	214	16	-	-	SYM
easat-11220	214	17	8484	8484	NUM
easat-11220	214	18	vol	vol	NOUN
easat-11220	214	19	.	.	PROPN
easat-11220	215	1	9	9	NUM
easat-11220	215	2	,	,	PUNCT
easat-11220	215	3	no	no	INTJ
easat-11220	215	4	.	.	NOUN
easat-11220	215	5	11	11	NUM
easat-11220	215	6	:	:	PUNCT
easat-11220	215	7	1389	1389	NUM
easat-11220	215	8	-	-	SYM
easat-11220	215	9	1401	1401	NUM
easat-11220	215	10	,	,	PUNCT
easat-11220	215	11	2025	2025	NUM
easat-11220	215	12	doi	doi	NOUN
easat-11220	215	13	:	:	PUNCT
easat-11220	215	14	10.55214/2576	10.55214/2576	NUM
easat-11220	215	15	-	-	SYM
easat-11220	215	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	216	1	©	©	PROPN
easat-11220	216	2	2025	2025	NUM
easat-11220	216	3	by	by	ADP
easat-11220	216	4	the	the	DET
easat-11220	216	5	authors	author	NOUN
easat-11220	216	6	;	;	PUNCT
easat-11220	216	7	licensee	licensee	PROPN
easat-11220	216	8	learning	learn	VERB
easat-11220	216	9	gate	gate	NOUN
easat-11220	216	10	65.62	65.62	NUM
easat-11220	216	11	%	%	NOUN
easat-11220	216	12	accuracy	accuracy	NOUN
easat-11220	216	13	.	.	PUNCT
easat-11220	217	1	naive	naive	ADJ
easat-11220	217	2	bayes	bayes	PROPN
easat-11220	217	3	had	have	VERB
easat-11220	217	4	the	the	DET
easat-11220	217	5	lowest	low	ADJ
easat-11220	217	6	accuracy	accuracy	NOUN
easat-11220	217	7	at	at	ADP
easat-11220	217	8	37.50	37.50	NUM
easat-11220	217	9	%	%	NOUN
easat-11220	217	10	,	,	PUNCT
easat-11220	217	11	indicating	indicate	VERB
easat-11220	217	12	significant	significant	ADJ
easat-11220	217	13	limitations	limitation	NOUN
easat-11220	217	14	in	in	ADP
easat-11220	217	15	its	its	PRON
easat-11220	217	16	classification	classification	NOUN
easat-11220	217	17	ability	ability	NOUN
easat-11220	217	18	.	.	PUNCT
easat-11220	218	1	table	table	NOUN
easat-11220	218	2	2	2	NUM
easat-11220	218	3	.	.	PUNCT
easat-11220	218	4	benchmarking	benchmarke	VERB
easat-11220	218	5	metrics	metric	NOUN
easat-11220	218	6	of	of	ADP
easat-11220	218	7	models	model	NOUN
easat-11220	218	8	.	.	PUNCT
easat-11220	219	1	metric	metric	ADJ
easat-11220	219	2	knn	knn	PROPN
easat-11220	219	3	naïve	naïve	PROPN
easat-11220	219	4	bayes	bayes	PROPN
easat-11220	219	5	svm	svm	VERB
easat-11220	219	6	random	random	ADJ
easat-11220	219	7	forest	forest	NOUN
easat-11220	219	8	xgboost	xgboost	ADP
easat-11220	219	9	borneonet	borneonet	NOUN
easat-11220	219	10	accuracy	accuracy	NOUN
easat-11220	219	11	62.50	62.50	NUM
easat-11220	219	12	%	%	NOUN
easat-11220	219	13	37.50	37.50	NUM
easat-11220	219	14	%	%	NOUN
easat-11220	219	15	76.56	76.56	NUM
easat-11220	219	16	%	%	NOUN
easat-11220	219	17	62.50	62.50	NUM
easat-11220	219	18	%	%	NOUN
easat-11220	219	19	65.62	65.62	NUM
easat-11220	219	20	%	%	NOUN
easat-11220	219	21	81.25	81.25	NUM
easat-11220	219	22	%	%	NOUN
easat-11220	219	23	precision	precision	NOUN
easat-11220	219	24	61.42	61.42	NUM
easat-11220	219	25	%	%	NOUN
easat-11220	219	26	42.34	42.34	NUM
easat-11220	219	27	%	%	NOUN
easat-11220	219	28	77.28	77.28	NUM
easat-11220	219	29	%	%	NOUN
easat-11220	219	30	60.79	60.79	NUM
easat-11220	219	31	%	%	NOUN
easat-11220	219	32	63.46	63.46	NUM
easat-11220	219	33	%	%	NOUN
easat-11220	219	34	81.82	81.82	NUM
easat-11220	219	35	%	%	NOUN
easat-11220	219	36	recall	recall	NOUN
easat-11220	219	37	61.19	61.19	NUM
easat-11220	219	38	%	%	NOUN
easat-11220	219	39	38.81	38.81	NUM
easat-11220	219	40	%	%	NOUN
easat-11220	219	41	74.24	74.24	NUM
easat-11220	219	42	%	%	NOUN
easat-11220	219	43	60.79	60.79	NUM
easat-11220	219	44	%	%	NOUN
easat-11220	219	45	63.69	63.69	NUM
easat-11220	219	46	%	%	NOUN
easat-11220	219	47	78.99	78.99	NUM
easat-11220	219	48	%	%	NOUN
easat-11220	219	49	f1	f1	NOUN
easat-11220	219	50	-	-	PUNCT
easat-11220	219	51	score	score	NOUN
easat-11220	220	1	61.16	61.16	NUM
easat-11220	220	2	%	%	NOUN
easat-11220	220	3	36.71	36.71	NUM
easat-11220	220	4	%	%	NOUN
easat-11220	220	5	73.71	73.71	NUM
easat-11220	220	6	%	%	NOUN
easat-11220	220	7	60.51	60.51	NUM
easat-11220	220	8	%	%	NOUN
easat-11220	220	9	63.24	63.24	NUM
easat-11220	220	10	%	%	NOUN
easat-11220	220	11	78.48	78.48	NUM
easat-11220	220	12	%	%	NOUN
easat-11220	220	13	kappa	kappa	NOUN
easat-11220	220	14	0.4320	0.4320	NUM
easat-11220	220	15	0.0886	0.0886	NUM
easat-11220	220	16	0.6410	0.6410	NUM
easat-11220	220	17	0.4309	0.4309	NUM
easat-11220	220	18	0.4774	0.4774	NUM
easat-11220	220	19	0.7134	0.7134	NUM
easat-11220	220	20	precision	precision	NOUN
easat-11220	220	21	measures	measure	VERB
easat-11220	220	22	the	the	DET
easat-11220	220	23	proportion	proportion	NOUN
easat-11220	220	24	of	of	ADP
easat-11220	220	25	correctly	correctly	ADV
easat-11220	220	26	predicted	predict	VERB
easat-11220	220	27	positive	positive	ADJ
easat-11220	220	28	observations	observation	NOUN
easat-11220	220	29	(	(	PUNCT
easat-11220	220	30	e.g.	e.g.	ADV
easat-11220	220	31	,	,	PUNCT
easat-11220	220	32	ripe	ripe	ADJ
easat-11220	220	33	fruit	fruit	NOUN
easat-11220	220	34	)	)	PUNCT
easat-11220	220	35	to	to	ADP
easat-11220	220	36	the	the	DET
easat-11220	220	37	total	total	NOUN
easat-11220	220	38	predicted	predict	VERB
easat-11220	220	39	positive	positive	ADJ
easat-11220	220	40	observations	observation	NOUN
easat-11220	220	41	.	.	PUNCT
easat-11220	221	1	the	the	DET
easat-11220	221	2	borneonet	borneonet	NOUN
easat-11220	221	3	again	again	ADV
easat-11220	221	4	performed	perform	VERB
easat-11220	221	5	the	the	DET
easat-11220	221	6	best	good	ADJ
easat-11220	221	7	,	,	PUNCT
easat-11220	221	8	with	with	ADP
easat-11220	221	9	a	a	DET
easat-11220	221	10	precision	precision	NOUN
easat-11220	221	11	of	of	ADP
easat-11220	221	12	81.82	81.82	NUM
easat-11220	221	13	%	%	NOUN
easat-11220	221	14	.	.	PUNCT
easat-11220	222	1	this	this	PRON
easat-11220	222	2	indicates	indicate	VERB
easat-11220	222	3	that	that	SCONJ
easat-11220	222	4	the	the	DET
easat-11220	222	5	model	model	NOUN
easat-11220	222	6	consistently	consistently	ADV
easat-11220	222	7	made	make	VERB
easat-11220	222	8	correct	correct	ADJ
easat-11220	222	9	predictions	prediction	NOUN
easat-11220	222	10	when	when	SCONJ
easat-11220	222	11	identifying	identify	VERB
easat-11220	222	12	a	a	DET
easat-11220	222	13	specific	specific	ADJ
easat-11220	222	14	class	class	NOUN
easat-11220	222	15	of	of	ADP
easat-11220	222	16	fruit	fruit	NOUN
easat-11220	222	17	ripeness	ripeness	NOUN
easat-11220	222	18	.	.	PUNCT
easat-11220	223	1	the	the	DET
easat-11220	223	2	svm	svm	PROPN
easat-11220	223	3	also	also	ADV
easat-11220	223	4	performed	perform	VERB
easat-11220	223	5	well	well	ADV
easat-11220	223	6	,	,	PUNCT
easat-11220	223	7	with	with	ADP
easat-11220	223	8	a	a	DET
easat-11220	223	9	precision	precision	NOUN
easat-11220	223	10	of	of	ADP
easat-11220	223	11	77.28	77.28	NUM
easat-11220	223	12	%	%	NOUN
easat-11220	223	13	.	.	PUNCT
easat-11220	224	1	xgboost	xgboost	PROPN
easat-11220	225	1	and	and	CCONJ
easat-11220	225	2	knn	knn	PROPN
easat-11220	225	3	had	have	VERB
easat-11220	225	4	moderately	moderately	ADV
easat-11220	225	5	low	low	ADJ
easat-11220	225	6	precisions	precision	NOUN
easat-11220	225	7	of	of	ADP
easat-11220	225	8	63.46	63.46	NUM
easat-11220	225	9	%	%	NOUN
easat-11220	225	10	and	and	CCONJ
easat-11220	225	11	61.42	61.42	NUM
easat-11220	225	12	%	%	NOUN
easat-11220	225	13	,	,	PUNCT
easat-11220	225	14	respectively	respectively	ADV
easat-11220	225	15	.	.	PUNCT
easat-11220	226	1	naive	naive	ADJ
easat-11220	226	2	bayes	bayes	PROPN
easat-11220	226	3	had	have	VERB
easat-11220	226	4	poor	poor	ADJ
easat-11220	226	5	precision	precision	NOUN
easat-11220	226	6	(	(	PUNCT
easat-11220	226	7	42.34	42.34	NUM
easat-11220	226	8	%	%	NOUN
easat-11220	226	9	)	)	PUNCT
easat-11220	226	10	,	,	PUNCT
easat-11220	226	11	reflecting	reflect	VERB
easat-11220	226	12	its	its	PRON
easat-11220	226	13	tendency	tendency	NOUN
easat-11220	226	14	to	to	PART
easat-11220	226	15	make	make	VERB
easat-11220	226	16	incorrect	incorrect	ADJ
easat-11220	226	17	predictions	prediction	NOUN
easat-11220	226	18	.	.	PUNCT
easat-11220	227	1	the	the	DET
easat-11220	227	2	recall	recall	NOUN
easat-11220	227	3	(	(	PUNCT
easat-11220	227	4	or	or	CCONJ
easat-11220	227	5	sensitivity	sensitivity	NOUN
easat-11220	227	6	)	)	PUNCT
easat-11220	227	7	indicates	indicate	VERB
easat-11220	227	8	how	how	SCONJ
easat-11220	227	9	well	well	ADV
easat-11220	227	10	the	the	DET
easat-11220	227	11	model	model	NOUN
easat-11220	227	12	identifies	identify	VERB
easat-11220	227	13	each	each	DET
easat-11220	227	14	class	class	NOUN
easat-11220	227	15	of	of	ADP
easat-11220	227	16	fruit	fruit	NOUN
easat-11220	227	17	ripeness	ripeness	NOUN
easat-11220	227	18	.	.	PUNCT
easat-11220	228	1	the	the	DET
easat-11220	228	2	borneonet	borneonet	NOUN
easat-11220	228	3	had	have	VERB
easat-11220	228	4	a	a	DET
easat-11220	228	5	recall	recall	NOUN
easat-11220	228	6	of	of	ADP
easat-11220	228	7	78.99	78.99	NUM
easat-11220	228	8	%	%	NOUN
easat-11220	228	9	,	,	PUNCT
easat-11220	228	10	demonstrating	demonstrate	VERB
easat-11220	228	11	its	its	PRON
easat-11220	228	12	ability	ability	NOUN
easat-11220	228	13	to	to	PART
easat-11220	228	14	correctly	correctly	ADV
easat-11220	228	15	identify	identify	VERB
easat-11220	228	16	most	most	ADJ
easat-11220	228	17	instances	instance	NOUN
easat-11220	228	18	of	of	ADP
easat-11220	228	19	ripe	ripe	ADJ
easat-11220	228	20	,	,	PUNCT
easat-11220	228	21	half	half	ADJ
easat-11220	228	22	-	-	PUNCT
easat-11220	228	23	ripe	ripe	ADJ
easat-11220	228	24	,	,	PUNCT
easat-11220	228	25	and	and	CCONJ
easat-11220	228	26	unripe	unripe	NOUN
easat-11220	228	27	fruits	fruit	NOUN
easat-11220	228	28	.	.	PUNCT
easat-11220	229	1	svm	svm	PROPN
easat-11220	229	2	followed	follow	VERB
easat-11220	229	3	closely	closely	ADV
easat-11220	229	4	with	with	ADP
easat-11220	229	5	74.24	74.24	NUM
easat-11220	229	6	%	%	NOUN
easat-11220	229	7	recall	recall	NOUN
easat-11220	229	8	.	.	PUNCT
easat-11220	230	1	xgboost	xgboost	X
easat-11220	230	2	and	and	CCONJ
easat-11220	230	3	random	random	ADJ
easat-11220	230	4	forest	forest	NOUN
easat-11220	230	5	both	both	PRON
easat-11220	230	6	had	have	VERB
easat-11220	230	7	recall	recall	ADJ
easat-11220	230	8	values	value	NOUN
easat-11220	230	9	of	of	ADP
easat-11220	230	10	approximately	approximately	ADV
easat-11220	230	11	63	63	NUM
easat-11220	230	12	%	%	NOUN
easat-11220	230	13	,	,	PUNCT
easat-11220	230	14	indicating	indicate	VERB
easat-11220	230	15	a	a	DET
easat-11220	230	16	moderate	moderate	ADJ
easat-11220	230	17	ability	ability	NOUN
easat-11220	230	18	to	to	PART
easat-11220	230	19	detect	detect	VERB
easat-11220	230	20	positive	positive	ADJ
easat-11220	230	21	classes	class	NOUN
easat-11220	230	22	.	.	PUNCT
easat-11220	231	1	naive	naive	ADJ
easat-11220	231	2	bayes	bayes	PROPN
easat-11220	231	3	had	have	VERB
easat-11220	231	4	the	the	DET
easat-11220	231	5	lowest	low	ADJ
easat-11220	231	6	recall	recall	NOUN
easat-11220	231	7	at	at	ADP
easat-11220	231	8	38.81	38.81	NUM
easat-11220	231	9	%	%	NOUN
easat-11220	231	10	,	,	PUNCT
easat-11220	231	11	suggesting	suggest	VERB
easat-11220	231	12	it	it	PRON
easat-11220	231	13	struggled	struggle	VERB
easat-11220	231	14	to	to	PART
easat-11220	231	15	identify	identify	VERB
easat-11220	231	16	a	a	DET
easat-11220	231	17	significant	significant	ADJ
easat-11220	231	18	portion	portion	NOUN
easat-11220	231	19	of	of	ADP
easat-11220	231	20	the	the	DET
easat-11220	231	21	positive	positive	ADJ
easat-11220	231	22	instances	instance	NOUN
easat-11220	231	23	.	.	PUNCT
easat-11220	232	1	f1	f1	NOUN
easat-11220	232	2	-	-	PUNCT
easat-11220	232	3	score	score	NOUN
easat-11220	232	4	is	be	AUX
easat-11220	232	5	useful	useful	ADJ
easat-11220	232	6	when	when	SCONJ
easat-11220	232	7	there	there	PRON
easat-11220	232	8	is	be	VERB
easat-11220	232	9	an	an	DET
easat-11220	232	10	uneven	uneven	ADJ
easat-11220	232	11	class	class	NOUN
easat-11220	232	12	distribution	distribution	NOUN
easat-11220	232	13	,	,	PUNCT
easat-11220	232	14	which	which	PRON
easat-11220	232	15	could	could	AUX
easat-11220	232	16	be	be	AUX
easat-11220	232	17	the	the	DET
easat-11220	232	18	case	case	NOUN
easat-11220	232	19	for	for	ADP
easat-11220	232	20	palm	palm	NOUN
easat-11220	232	21	fruit	fruit	NOUN
easat-11220	232	22	ripeness	ripeness	NOUN
easat-11220	232	23	.	.	PUNCT
easat-11220	233	1	the	the	DET
easat-11220	233	2	borneonet	borneonet	NOUN
easat-11220	233	3	had	have	VERB
easat-11220	233	4	the	the	DET
easat-11220	233	5	highest	high	ADJ
easat-11220	233	6	f1	f1	NOUN
easat-11220	233	7	-	-	PUNCT
easat-11220	233	8	score	score	NOUN
easat-11220	233	9	of	of	ADP
easat-11220	233	10	78.48	78.48	NUM
easat-11220	233	11	%	%	NOUN
easat-11220	233	12	,	,	PUNCT
easat-11220	233	13	indicating	indicate	VERB
easat-11220	233	14	that	that	SCONJ
easat-11220	233	15	it	it	PRON
easat-11220	233	16	effectively	effectively	ADV
easat-11220	233	17	balanced	balance	VERB
easat-11220	233	18	precision	precision	NOUN
easat-11220	233	19	and	and	CCONJ
easat-11220	233	20	recall	recall	NOUN
easat-11220	233	21	,	,	PUNCT
easat-11220	233	22	providing	provide	VERB
easat-11220	233	23	robust	robust	ADJ
easat-11220	233	24	predictions	prediction	NOUN
easat-11220	233	25	.	.	PUNCT
easat-11220	234	1	the	the	DET
easat-11220	234	2	svm	svm	PROPN
easat-11220	234	3	followed	follow	VERB
easat-11220	234	4	with	with	ADP
easat-11220	234	5	an	an	DET
easat-11220	234	6	f1	f1	NOUN
easat-11220	234	7	-	-	PUNCT
easat-11220	234	8	score	score	NOUN
easat-11220	234	9	of	of	ADP
easat-11220	234	10	73.71	73.71	NUM
easat-11220	234	11	%	%	NOUN
easat-11220	234	12	,	,	PUNCT
easat-11220	234	13	reflecting	reflect	VERB
easat-11220	234	14	strong	strong	ADJ
easat-11220	234	15	overall	overall	ADJ
easat-11220	234	16	performance	performance	NOUN
easat-11220	234	17	.	.	PUNCT
easat-11220	235	1	xgboost	xgboost	PROPN
easat-11220	235	2	,	,	PUNCT
easat-11220	235	3	knn	knn	PROPN
easat-11220	235	4	,	,	PUNCT
easat-11220	235	5	and	and	CCONJ
easat-11220	235	6	random	random	ADJ
easat-11220	235	7	forest	forest	NOUN
easat-11220	235	8	had	have	VERB
easat-11220	235	9	f1	f1	NOUN
easat-11220	235	10	-	-	PUNCT
easat-11220	235	11	scores	score	NOUN
easat-11220	235	12	between	between	ADP
easat-11220	235	13	61	61	NUM
easat-11220	235	14	%	%	NOUN
easat-11220	235	15	and	and	CCONJ
easat-11220	235	16	63	63	NUM
easat-11220	235	17	%	%	NOUN
easat-11220	235	18	,	,	PUNCT
easat-11220	235	19	indicating	indicate	VERB
easat-11220	235	20	moderate	moderate	ADJ
easat-11220	235	21	effectiveness	effectiveness	NOUN
easat-11220	235	22	.	.	PUNCT
easat-11220	236	1	naive	naive	ADJ
easat-11220	236	2	bayes	bayes	PROPN
easat-11220	236	3	had	have	VERB
easat-11220	236	4	the	the	DET
easat-11220	236	5	lowest	low	ADJ
easat-11220	236	6	f1	f1	NOUN
easat-11220	236	7	-	-	PUNCT
easat-11220	236	8	score	score	NOUN
easat-11220	236	9	at	at	ADP
easat-11220	236	10	36.71	36.71	NUM
easat-11220	236	11	%	%	NOUN
easat-11220	236	12	,	,	PUNCT
easat-11220	236	13	demonstrating	demonstrate	VERB
easat-11220	236	14	poor	poor	ADJ
easat-11220	236	15	overall	overall	ADJ
easat-11220	236	16	performance	performance	NOUN
easat-11220	236	17	due	due	ADP
easat-11220	236	18	to	to	ADP
easat-11220	236	19	low	low	ADJ
easat-11220	236	20	precision	precision	NOUN
easat-11220	236	21	and	and	CCONJ
easat-11220	236	22	recall	recall	NOUN
easat-11220	236	23	.	.	PUNCT
easat-11220	237	1	kappa	kappa	PROPN
easat-11220	237	2	measures	measure	NOUN
easat-11220	237	3	inter	inter	ADJ
easat-11220	237	4	-	-	ADJ
easat-11220	237	5	rater	rater	ADJ
easat-11220	237	6	agreement	agreement	NOUN
easat-11220	237	7	for	for	ADP
easat-11220	237	8	categorical	categorical	ADJ
easat-11220	237	9	data	datum	NOUN
easat-11220	237	10	.	.	PUNCT
easat-11220	238	1	a	a	DET
easat-11220	238	2	higher	high	ADJ
easat-11220	238	3	kappa	kappa	PROPN
easat-11220	238	4	score	score	NOUN
easat-11220	238	5	indicates	indicate	VERB
easat-11220	238	6	a	a	DET
easat-11220	238	7	stronger	strong	ADJ
easat-11220	238	8	agreement	agreement	NOUN
easat-11220	238	9	between	between	ADP
easat-11220	238	10	the	the	DET
easat-11220	238	11	model	model	NOUN
easat-11220	238	12	’s	’s	PART
easat-11220	238	13	predictions	prediction	NOUN
easat-11220	238	14	and	and	CCONJ
easat-11220	238	15	the	the	DET
easat-11220	238	16	actual	actual	ADJ
easat-11220	238	17	labels	label	NOUN
easat-11220	238	18	,	,	PUNCT
easat-11220	238	19	beyond	beyond	ADP
easat-11220	238	20	random	random	ADJ
easat-11220	238	21	chance	chance	NOUN
easat-11220	238	22	.	.	PUNCT
easat-11220	239	1	the	the	DET
easat-11220	239	2	borneonet	borneonet	NOUN
easat-11220	239	3	had	have	VERB
easat-11220	239	4	the	the	DET
easat-11220	239	5	highest	high	ADJ
easat-11220	239	6	kappa	kappa	ADJ
easat-11220	239	7	value	value	NOUN
easat-11220	239	8	of	of	ADP
easat-11220	239	9	0.7134	0.7134	NUM
easat-11220	239	10	,	,	PUNCT
easat-11220	239	11	indicating	indicate	VERB
easat-11220	239	12	a	a	DET
easat-11220	239	13	strong	strong	ADJ
easat-11220	239	14	agreement	agreement	NOUN
easat-11220	239	15	between	between	ADP
easat-11220	239	16	its	its	PRON
easat-11220	239	17	predictions	prediction	NOUN
easat-11220	239	18	and	and	CCONJ
easat-11220	239	19	the	the	DET
easat-11220	239	20	actual	actual	ADJ
easat-11220	239	21	classifications	classification	NOUN
easat-11220	239	22	of	of	ADP
easat-11220	239	23	fruit	fruit	NOUN
easat-11220	239	24	ripeness	ripeness	NOUN
easat-11220	239	25	.	.	PUNCT
easat-11220	240	1	the	the	DET
easat-11220	240	2	svm	svm	PROPN
easat-11220	240	3	also	also	ADV
easat-11220	240	4	showed	show	VERB
easat-11220	240	5	strong	strong	ADJ
easat-11220	240	6	agreement	agreement	NOUN
easat-11220	240	7	,	,	PUNCT
easat-11220	240	8	with	with	ADP
easat-11220	240	9	a	a	DET
easat-11220	240	10	kappa	kappa	ADJ
easat-11220	240	11	value	value	NOUN
easat-11220	240	12	of	of	ADP
easat-11220	240	13	0.6410	0.6410	NUM
easat-11220	240	14	.	.	PUNCT
easat-11220	241	1	the	the	DET
easat-11220	241	2	xgboost	xgboost	NOUN
easat-11220	241	3	showed	show	VERB
easat-11220	241	4	moderate	moderate	ADJ
easat-11220	241	5	agreement	agreement	NOUN
easat-11220	241	6	,	,	PUNCT
easat-11220	241	7	with	with	ADP
easat-11220	241	8	a	a	DET
easat-11220	241	9	kappa	kappa	ADJ
easat-11220	241	10	value	value	NOUN
easat-11220	241	11	of	of	ADP
easat-11220	241	12	0.4774	0.4774	NUM
easat-11220	241	13	.	.	PUNCT
easat-11220	242	1	knn	knn	PROPN
easat-11220	242	2	and	and	CCONJ
easat-11220	242	3	random	random	ADJ
easat-11220	242	4	forest	forest	NOUN
easat-11220	242	5	both	both	PRON
easat-11220	242	6	showed	show	VERB
easat-11220	242	7	similar	similar	ADJ
easat-11220	242	8	moderate	moderate	ADJ
easat-11220	242	9	performances	performance	NOUN
easat-11220	242	10	,	,	PUNCT
easat-11220	242	11	with	with	ADP
easat-11220	242	12	kappa	kappa	ADJ
easat-11220	242	13	values	value	NOUN
easat-11220	242	14	of	of	ADP
easat-11220	242	15	approximately	approximately	ADV
easat-11220	242	16	0.43	0.43	NUM
easat-11220	242	17	.	.	PUNCT
easat-11220	243	1	naive	naive	ADJ
easat-11220	243	2	bayes	bayes	PROPN
easat-11220	243	3	had	have	VERB
easat-11220	243	4	a	a	DET
easat-11220	243	5	very	very	ADV
easat-11220	243	6	low	low	ADJ
easat-11220	243	7	kappa	kappa	NOUN
easat-11220	243	8	of	of	ADP
easat-11220	243	9	0.0886	0.0886	NUM
easat-11220	243	10	,	,	PUNCT
easat-11220	243	11	reflecting	reflect	VERB
easat-11220	243	12	almost	almost	ADV
easat-11220	243	13	no	no	PRON
easat-11220	243	14	meaningful	meaningful	ADJ
easat-11220	243	15	agreement	agreement	NOUN
easat-11220	243	16	between	between	ADP
easat-11220	243	17	its	its	PRON
easat-11220	243	18	predictions	prediction	NOUN
easat-11220	243	19	and	and	CCONJ
easat-11220	243	20	actual	actual	ADJ
easat-11220	243	21	fruit	fruit	NOUN
easat-11220	243	22	classifications	classification	NOUN
easat-11220	243	23	.	.	PUNCT
easat-11220	244	1	the	the	DET
easat-11220	244	2	proposed	propose	VERB
easat-11220	244	3	borneonet	borneonet	NOUN
easat-11220	244	4	consistently	consistently	ADV
easat-11220	244	5	outperformed	outperform	VERB
easat-11220	244	6	all	all	DET
easat-11220	244	7	other	other	ADJ
easat-11220	244	8	models	model	NOUN
easat-11220	244	9	in	in	ADP
easat-11220	244	10	every	every	DET
easat-11220	244	11	metric	metric	NOUN
easat-11220	244	12	.	.	PUNCT
easat-11220	245	1	with	with	ADP
easat-11220	245	2	an	an	DET
easat-11220	245	3	accuracy	accuracy	NOUN
easat-11220	245	4	of	of	ADP
easat-11220	245	5	81.25	81.25	NUM
easat-11220	245	6	%	%	NOUN
easat-11220	245	7	,	,	PUNCT
easat-11220	245	8	precision	precision	NOUN
easat-11220	245	9	of	of	ADP
easat-11220	245	10	81.82	81.82	NUM
easat-11220	245	11	%	%	NOUN
easat-11220	245	12	,	,	PUNCT
easat-11220	245	13	recall	recall	NOUN
easat-11220	245	14	of	of	ADP
easat-11220	245	15	78.99	78.99	NUM
easat-11220	245	16	%	%	NOUN
easat-11220	245	17	,	,	PUNCT
easat-11220	245	18	and	and	CCONJ
easat-11220	245	19	a	a	DET
easat-11220	245	20	high	high	ADJ
easat-11220	245	21	f1	f1	NOUN
easat-11220	245	22	-	-	PUNCT
easat-11220	245	23	score	score	NOUN
easat-11220	245	24	and	and	CCONJ
easat-11220	245	25	kappa	kappa	ADJ
easat-11220	245	26	value	value	NOUN
easat-11220	245	27	,	,	PUNCT
easat-11220	245	28	borneonet	borneonet	NOUN
easat-11220	245	29	proved	prove	VERB
easat-11220	245	30	to	to	PART
easat-11220	245	31	be	be	AUX
easat-11220	245	32	the	the	DET
easat-11220	245	33	most	most	ADV
easat-11220	245	34	reliable	reliable	ADJ
easat-11220	245	35	model	model	NOUN
easat-11220	245	36	for	for	ADP
easat-11220	245	37	classifying	classify	VERB
easat-11220	245	38	the	the	DET
easat-11220	245	39	ripeness	ripeness	NOUN
easat-11220	245	40	of	of	ADP
easat-11220	245	41	palm	palm	NOUN
easat-11220	245	42	fruits	fruit	NOUN
easat-11220	245	43	.	.	PUNCT
easat-11220	246	1	the	the	DET
easat-11220	246	2	performance	performance	NOUN
easat-11220	246	3	gap	gap	NOUN
easat-11220	246	4	between	between	ADP
easat-11220	246	5	borneonet	borneonet	NOUN
easat-11220	246	6	and	and	CCONJ
easat-11220	246	7	the	the	DET
easat-11220	246	8	other	other	ADJ
easat-11220	246	9	models	model	NOUN
easat-11220	246	10	is	be	AUX
easat-11220	246	11	particularly	particularly	ADV
easat-11220	246	12	pronounced	pronounce	VERB
easat-11220	246	13	when	when	SCONJ
easat-11220	246	14	compared	compare	VERB
easat-11220	246	15	to	to	ADP
easat-11220	246	16	naive	naive	ADJ
easat-11220	246	17	bayes	bayes	NOUN
easat-11220	246	18	,	,	PUNCT
easat-11220	246	19	which	which	PRON
easat-11220	246	20	struggles	struggle	VERB
easat-11220	246	21	across	across	ADP
easat-11220	246	22	all	all	DET
easat-11220	246	23	metrics	metric	NOUN
easat-11220	246	24	with	with	ADP
easat-11220	246	25	the	the	DET
easat-11220	246	26	lowest	low	ADJ
easat-11220	246	27	accuracy	accuracy	NOUN
easat-11220	246	28	,	,	PUNCT
easat-11220	246	29	precision	precision	NOUN
easat-11220	246	30	,	,	PUNCT
easat-11220	246	31	recall	recall	NOUN
easat-11220	246	32	,	,	PUNCT
easat-11220	246	33	and	and	CCONJ
easat-11220	246	34	kappa	kappa	ADJ
easat-11220	246	35	.	.	PROPN
easat-11220	247	1	3.3	3.3	NUM
easat-11220	247	2	.	.	PUNCT
easat-11220	248	1	mcnemar	mcnemar	NOUN
easat-11220	248	2	test	test	NOUN
easat-11220	248	3	to	to	PART
easat-11220	248	4	further	far	ADV
easat-11220	248	5	assess	assess	VERB
easat-11220	248	6	the	the	DET
easat-11220	248	7	differences	difference	NOUN
easat-11220	248	8	in	in	ADP
easat-11220	248	9	performance	performance	NOUN
easat-11220	248	10	between	between	ADP
easat-11220	248	11	borneonet	borneonet	NOUN
easat-11220	248	12	and	and	CCONJ
easat-11220	248	13	other	other	ADJ
easat-11220	248	14	models	model	NOUN
easat-11220	248	15	(	(	PUNCT
easat-11220	248	16	knn	knn	PROPN
easat-11220	248	17	,	,	PUNCT
easat-11220	248	18	naive	naive	ADJ
easat-11220	248	19	bayes	bayes	NOUN
easat-11220	248	20	,	,	PUNCT
easat-11220	248	21	svm	svm	ADJ
easat-11220	248	22	,	,	PUNCT
easat-11220	248	23	random	random	ADJ
easat-11220	248	24	forest	forest	NOUN
easat-11220	248	25	,	,	PUNCT
easat-11220	248	26	and	and	CCONJ
easat-11220	248	27	xgboost	xgboost	NUM
easat-11220	248	28	)	)	PUNCT
easat-11220	248	29	,	,	PUNCT
easat-11220	248	30	a	a	DET
easat-11220	248	31	mcnemar	mcnemar	NOUN
easat-11220	248	32	test	test	NOUN
easat-11220	248	33	was	be	AUX
easat-11220	248	34	conducted	conduct	VERB
easat-11220	248	35	.	.	PUNCT
easat-11220	249	1	the	the	DET
easat-11220	249	2	mcnemar	mcnemar	PROPN
easat-11220	249	3	test	test	NOUN
easat-11220	249	4	is	be	AUX
easat-11220	249	5	appropriate	appropriate	ADJ
easat-11220	249	6	for	for	ADP
easat-11220	249	7	comparing	compare	VERB
easat-11220	249	8	models	model	NOUN
easat-11220	249	9	that	that	PRON
easat-11220	249	10	can	can	AUX
easat-11220	249	11	only	only	ADV
easat-11220	249	12	be	be	AUX
easat-11220	249	13	evaluated	evaluate	VERB
easat-11220	249	14	once	once	ADV
easat-11220	249	15	,	,	PUNCT
easat-11220	249	16	particularly	particularly	ADV
easat-11220	249	17	when	when	SCONJ
easat-11220	249	18	dealing	deal	VERB
easat-11220	249	19	with	with	ADP
easat-11220	249	20	paired	pair	VERB
easat-11220	249	21	nominal	nominal	ADJ
easat-11220	249	22	data	datum	NOUN
easat-11220	249	23	rather	rather	ADV
easat-11220	249	24	than	than	ADP
easat-11220	249	25	gaussian	gaussian	ADJ
easat-11220	249	26	data	datum	NOUN
easat-11220	249	27	[	[	X
easat-11220	249	28	36	36	NUM
easat-11220	249	29	]	]	PUNCT
easat-11220	249	30	.	.	PUNCT
easat-11220	250	1	this	this	DET
easat-11220	250	2	test	test	NOUN
easat-11220	250	3	was	be	AUX
easat-11220	250	4	used	use	VERB
easat-11220	250	5	to	to	PART
easat-11220	250	6	compare	compare	VERB
easat-11220	250	7	the	the	DET
easat-11220	250	8	classification	classification	NOUN
easat-11220	250	9	errors	error	NOUN
easat-11220	250	10	of	of	ADP
easat-11220	250	11	two	two	NUM
easat-11220	250	12	models	model	NOUN
easat-11220	250	13	and	and	CCONJ
easat-11220	250	14	determine	determine	VERB
easat-11220	250	15	whether	whether	SCONJ
easat-11220	250	16	their	their	PRON
easat-11220	250	17	performance	performance	NOUN
easat-11220	250	18	differences	difference	NOUN
easat-11220	250	19	were	be	AUX
easat-11220	250	20	statistically	statistically	ADV
easat-11220	250	21	significant	significant	ADJ
easat-11220	250	22	.	.	PUNCT
easat-11220	251	1	1398	1398	NUM
easat-11220	251	2	edelweiss	edelweiss	PROPN
easat-11220	251	3	applied	apply	VERB
easat-11220	251	4	science	science	NOUN
easat-11220	251	5	and	and	CCONJ
easat-11220	251	6	technology	technology	NOUN
easat-11220	251	7	issn	issn	PROPN
easat-11220	251	8	:	:	PUNCT
easat-11220	251	9	2576	2576	NUM
easat-11220	251	10	-	-	SYM
easat-11220	251	11	8484	8484	NUM
easat-11220	251	12	vol	vol	NOUN
easat-11220	251	13	.	.	PROPN
easat-11220	252	1	9	9	NUM
easat-11220	252	2	,	,	PUNCT
easat-11220	252	3	no	no	INTJ
easat-11220	252	4	.	.	NOUN
easat-11220	252	5	11	11	NUM
easat-11220	252	6	:	:	PUNCT
easat-11220	252	7	1389	1389	NUM
easat-11220	252	8	-	-	SYM
easat-11220	252	9	1401	1401	NUM
easat-11220	252	10	,	,	PUNCT
easat-11220	252	11	2025	2025	NUM
easat-11220	252	12	doi	doi	NOUN
easat-11220	252	13	:	:	PUNCT
easat-11220	252	14	10.55214/2576	10.55214/2576	NUM
easat-11220	252	15	-	-	SYM
easat-11220	252	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	253	1	©	©	PROPN
easat-11220	253	2	2025	2025	NUM
easat-11220	253	3	by	by	ADP
easat-11220	253	4	the	the	DET
easat-11220	253	5	authors	author	NOUN
easat-11220	253	6	;	;	PUNCT
easat-11220	253	7	licensee	licensee	PROPN
easat-11220	253	8	learning	learning	NOUN
easat-11220	253	9	gate	gate	NOUN
easat-11220	253	10	it	it	PRON
easat-11220	253	11	is	be	AUX
easat-11220	253	12	especially	especially	ADV
easat-11220	253	13	useful	useful	ADJ
easat-11220	253	14	when	when	SCONJ
easat-11220	253	15	both	both	DET
easat-11220	253	16	models	model	NOUN
easat-11220	253	17	are	be	AUX
easat-11220	253	18	tested	test	VERB
easat-11220	253	19	on	on	ADP
easat-11220	253	20	the	the	DET
easat-11220	253	21	same	same	ADJ
easat-11220	253	22	dataset	dataset	NOUN
easat-11220	253	23	,	,	PUNCT
easat-11220	253	24	as	as	SCONJ
easat-11220	253	25	it	it	PRON
easat-11220	253	26	helps	helps	AUX
easat-11220	253	27	distinguish	distinguish	VERB
easat-11220	253	28	between	between	ADP
easat-11220	253	29	differences	difference	NOUN
easat-11220	253	30	due	due	ADP
easat-11220	253	31	to	to	ADP
easat-11220	253	32	random	random	ADJ
easat-11220	253	33	variation	variation	NOUN
easat-11220	253	34	and	and	CCONJ
easat-11220	253	35	genuine	genuine	ADJ
easat-11220	253	36	improvements	improvement	NOUN
easat-11220	253	37	.	.	PUNCT
easat-11220	254	1	this	this	DET
easat-11220	254	2	test	test	NOUN
easat-11220	254	3	results	result	NOUN
easat-11220	254	4	in	in	ADP
easat-11220	254	5	a	a	DET
easat-11220	254	6	contingency	contingency	NOUN
easat-11220	254	7	table	table	NOUN
easat-11220	254	8	of	of	ADP
easat-11220	254	9	classification	classification	NOUN
easat-11220	254	10	outcomes	outcome	NOUN
easat-11220	254	11	between	between	ADP
easat-11220	254	12	the	the	DET
easat-11220	254	13	first	first	ADJ
easat-11220	254	14	and	and	CCONJ
easat-11220	254	15	second	second	ADJ
easat-11220	254	16	models	model	NOUN
easat-11220	254	17	and	and	CCONJ
easat-11220	254	18	the	the	DET
easat-11220	254	19	p	p	NOUN
easat-11220	254	20	-	-	PUNCT
easat-11220	254	21	value	value	NOUN
easat-11220	254	22	of	of	ADP
easat-11220	254	23	whether	whether	SCONJ
easat-11220	254	24	the	the	DET
easat-11220	254	25	differences	difference	NOUN
easat-11220	254	26	are	be	AUX
easat-11220	254	27	statistically	statistically	ADV
easat-11220	254	28	significant	significant	ADJ
easat-11220	254	29	.	.	PUNCT
easat-11220	255	1	results	result	NOUN
easat-11220	255	2	show	show	VERB
easat-11220	255	3	a	a	DET
easat-11220	255	4	p	p	NOUN
easat-11220	255	5	-	-	PUNCT
easat-11220	255	6	value	value	NOUN
easat-11220	255	7	of	of	ADP
easat-11220	255	8	0.05	0.05	NUM
easat-11220	255	9	(	(	PUNCT
easat-11220	255	10	5	5	NUM
easat-11220	255	11	%	%	NOUN
easat-11220	255	12	)	)	PUNCT
easat-11220	255	13	,	,	PUNCT
easat-11220	255	14	which	which	PRON
easat-11220	255	15	was	be	AUX
easat-11220	255	16	chosen	choose	VERB
easat-11220	255	17	as	as	ADP
easat-11220	255	18	the	the	DET
easat-11220	255	19	cut	cut	NOUN
easat-11220	255	20	-	-	PUNCT
easat-11220	255	21	off	off	NOUN
easat-11220	255	22	for	for	ADP
easat-11220	255	23	statistical	statistical	ADJ
easat-11220	255	24	significance	significance	NOUN
easat-11220	255	25	.	.	PUNCT
easat-11220	256	1	this	this	DET
easat-11220	256	2	result	result	NOUN
easat-11220	256	3	means	mean	VERB
easat-11220	256	4	that	that	SCONJ
easat-11220	256	5	if	if	SCONJ
easat-11220	256	6	the	the	DET
easat-11220	256	7	pvalue	pvalue	NOUN
easat-11220	256	8	is	be	AUX
easat-11220	256	9	<	<	X
easat-11220	256	10	0.05	0.05	NUM
easat-11220	256	11	,	,	PUNCT
easat-11220	256	12	the	the	DET
easat-11220	256	13	difference	difference	NOUN
easat-11220	256	14	between	between	ADP
easat-11220	256	15	the	the	DET
easat-11220	256	16	performances	performance	NOUN
easat-11220	256	17	is	be	AUX
easat-11220	256	18	considered	consider	VERB
easat-11220	256	19	statistically	statistically	ADV
easat-11220	256	20	significant	significant	ADJ
easat-11220	256	21	.	.	PUNCT
easat-11220	257	1	table	table	NOUN
easat-11220	257	2	3	3	NUM
easat-11220	257	3	.	.	PUNCT
easat-11220	257	4	model	model	NOUN
easat-11220	257	5	significance	significance	NOUN
easat-11220	257	6	test	test	NOUN
easat-11220	257	7	model	model	NOUN
easat-11220	257	8	comparison	comparison	NOUN
easat-11220	257	9	contingency	contingency	NOUN
easat-11220	257	10	table	table	NOUN
easat-11220	257	11	p	p	NOUN
easat-11220	257	12	-	-	PUNCT
easat-11220	257	13	value	value	NOUN
easat-11220	257	14	statistically	statistically	ADV
easat-11220	257	15	significant	significant	ADJ
easat-11220	257	16	?	?	PUNCT
easat-11220	258	1	knn	knn	PROPN
easat-11220	258	2	vs	vs	ADP
easat-11220	258	3	borneonet	borneonet	NOUN
easat-11220	258	4	[	[	X
easat-11220	258	5	[	[	X
easat-11220	258	6	0	0	NUM
easat-11220	258	7	,	,	PUNCT
easat-11220	258	8	0	0	NUM
easat-11220	258	9	]	]	PUNCT
easat-11220	258	10	,	,	PUNCT
easat-11220	259	1	[	[	X
easat-11220	259	2	28	28	NUM
easat-11220	259	3	,	,	PUNCT
easat-11220	259	4	36	36	NUM
easat-11220	259	5	]	]	PUNCT
easat-11220	259	6	]	]	X
easat-11220	260	1	7.45e-09	7.45e-09	NUM
easat-11220	260	2	yes	yes	INTJ
easat-11220	260	3	naivebayes	naivebaye	NOUN
easat-11220	260	4	vs	vs	ADP
easat-11220	260	5	borneonet	borneonet	NOUN
easat-11220	260	6	[	[	X
easat-11220	260	7	[	[	X
easat-11220	260	8	0	0	NUM
easat-11220	260	9	,	,	PUNCT
easat-11220	260	10	0	0	NUM
easat-11220	260	11	]	]	PUNCT
easat-11220	260	12	,	,	PUNCT
easat-11220	260	13	[	[	X
easat-11220	260	14	38	38	NUM
easat-11220	260	15	,	,	PUNCT
easat-11220	260	16	26	26	NUM
easat-11220	260	17	]	]	X
easat-11220	260	18	]	]	X
easat-11220	261	1	7.28e-12	7.28e-12	NUM
easat-11220	261	2	yes	yes	INTJ
easat-11220	261	3	svm	svm	PROPN
easat-11220	261	4	vs	vs	ADP
easat-11220	261	5	borneonet	borneonet	NOUN
easat-11220	261	6	[	[	X
easat-11220	261	7	[	[	X
easat-11220	261	8	0	0	NUM
easat-11220	261	9	,	,	PUNCT
easat-11220	261	10	0	0	NUM
easat-11220	261	11	]	]	PUNCT
easat-11220	261	12	,	,	PUNCT
easat-11220	261	13	[	[	X
easat-11220	261	14	17	17	NUM
easat-11220	261	15	,	,	PUNCT
easat-11220	261	16	47	47	NUM
easat-11220	261	17	]	]	PUNCT
easat-11220	261	18	]	]	X
easat-11220	262	1	1.53e-05	1.53e-05	NUM
easat-11220	262	2	yes	yes	INTJ
easat-11220	262	3	randomforest	randomfor	ADJ
easat-11220	262	4	vs	vs	ADP
easat-11220	262	5	borneonet	borneonet	NOUN
easat-11220	262	6	[	[	X
easat-11220	262	7	[	[	X
easat-11220	262	8	0	0	NUM
easat-11220	262	9	,	,	PUNCT
easat-11220	262	10	0	0	NUM
easat-11220	262	11	]	]	PUNCT
easat-11220	262	12	,	,	PUNCT
easat-11220	263	1	[	[	X
easat-11220	263	2	22	22	NUM
easat-11220	263	3	,	,	PUNCT
easat-11220	263	4	42	42	NUM
easat-11220	263	5	]	]	X
easat-11220	263	6	]	]	X
easat-11220	263	7	4.77e-07	4.77e-07	NUM
easat-11220	263	8	yes	yes	INTJ
easat-11220	263	9	xgboost	xgboost	NOUN
easat-11220	263	10	vs	vs	ADP
easat-11220	263	11	borneonet	borneonet	NOUN
easat-11220	263	12	[	[	X
easat-11220	263	13	[	[	X
easat-11220	263	14	0	0	NUM
easat-11220	263	15	,	,	PUNCT
easat-11220	263	16	0	0	NUM
easat-11220	263	17	]	]	PUNCT
easat-11220	263	18	,	,	PUNCT
easat-11220	263	19	[	[	X
easat-11220	263	20	20	20	NUM
easat-11220	263	21	,	,	PUNCT
easat-11220	263	22	44	44	NUM
easat-11220	263	23	]	]	PUNCT
easat-11220	263	24	]	]	X
easat-11220	263	25	1.91e-06	1.91e-06	NUM
easat-11220	263	26	yes	yes	NOUN
easat-11220	263	27	table	table	NOUN
easat-11220	263	28	3	3	NUM
easat-11220	263	29	presents	present	VERB
easat-11220	263	30	a	a	DET
easat-11220	263	31	pairwise	pairwise	NOUN
easat-11220	263	32	comparison	comparison	NOUN
easat-11220	263	33	of	of	ADP
easat-11220	263	34	traditional	traditional	ADJ
easat-11220	263	35	machine	machine	NOUN
easat-11220	263	36	learning	learning	NOUN
easat-11220	263	37	models	model	NOUN
easat-11220	263	38	against	against	ADP
easat-11220	263	39	the	the	DET
easat-11220	263	40	proposed	propose	VERB
easat-11220	263	41	borneonet	borneonet	NOUN
easat-11220	263	42	.	.	PUNCT
easat-11220	264	1	in	in	ADP
easat-11220	264	2	all	all	DET
easat-11220	264	3	model	model	NOUN
easat-11220	264	4	comparisons	comparison	NOUN
easat-11220	264	5	,	,	PUNCT
easat-11220	264	6	the	the	DET
easat-11220	264	7	mcnemar	mcnemar	NOUN
easat-11220	264	8	test	test	NOUN
easat-11220	264	9	yielded	yield	VERB
easat-11220	264	10	p	p	NOUN
easat-11220	264	11	-	-	PUNCT
easat-11220	264	12	values	value	NOUN
easat-11220	264	13	significantly	significantly	ADV
easat-11220	264	14	lower	low	ADJ
easat-11220	264	15	than	than	ADP
easat-11220	264	16	the	the	DET
easat-11220	264	17	0.05	0.05	NUM
easat-11220	264	18	alpha	alpha	NOUN
easat-11220	264	19	level	level	NOUN
easat-11220	264	20	,	,	PUNCT
easat-11220	264	21	indicating	indicate	VERB
easat-11220	264	22	that	that	SCONJ
easat-11220	264	23	the	the	DET
easat-11220	264	24	observed	observe	VERB
easat-11220	264	25	performance	performance	NOUN
easat-11220	264	26	differences	difference	NOUN
easat-11220	264	27	between	between	ADP
easat-11220	264	28	borneonet	borneonet	NOUN
easat-11220	264	29	and	and	CCONJ
easat-11220	264	30	the	the	DET
easat-11220	264	31	other	other	ADJ
easat-11220	264	32	models	model	NOUN
easat-11220	264	33	(	(	PUNCT
easat-11220	264	34	knn	knn	PROPN
easat-11220	264	35	,	,	PUNCT
easat-11220	264	36	naive	naive	ADJ
easat-11220	264	37	bayes	bayes	NOUN
easat-11220	264	38	,	,	PUNCT
easat-11220	264	39	svm	svm	ADJ
easat-11220	264	40	,	,	PUNCT
easat-11220	264	41	random	random	ADJ
easat-11220	264	42	forest	forest	NOUN
easat-11220	264	43	,	,	PUNCT
easat-11220	264	44	and	and	CCONJ
easat-11220	264	45	xgboost	xgboost	NUM
easat-11220	264	46	)	)	PUNCT
easat-11220	264	47	are	be	AUX
easat-11220	264	48	statistically	statistically	ADV
easat-11220	264	49	significant	significant	ADJ
easat-11220	264	50	.	.	PUNCT
easat-11220	265	1	this	this	DET
easat-11220	265	2	result	result	NOUN
easat-11220	265	3	confirms	confirm	VERB
easat-11220	265	4	that	that	SCONJ
easat-11220	265	5	the	the	DET
easat-11220	265	6	superior	superior	ADJ
easat-11220	265	7	performance	performance	NOUN
easat-11220	265	8	of	of	ADP
easat-11220	265	9	borneonet	borneonet	NOUN
easat-11220	265	10	across	across	ADP
easat-11220	265	11	metrics	metric	NOUN
easat-11220	265	12	is	be	AUX
easat-11220	265	13	not	not	PART
easat-11220	265	14	due	due	ADJ
easat-11220	265	15	to	to	ADP
easat-11220	265	16	random	random	ADJ
easat-11220	265	17	chance	chance	NOUN
easat-11220	265	18	but	but	CCONJ
easat-11220	265	19	represents	represent	VERB
easat-11220	265	20	a	a	DET
easat-11220	265	21	real	real	ADJ
easat-11220	265	22	improvement	improvement	NOUN
easat-11220	265	23	in	in	ADP
easat-11220	265	24	the	the	DET
easat-11220	265	25	classification	classification	NOUN
easat-11220	265	26	of	of	ADP
easat-11220	265	27	palm	palm	NOUN
easat-11220	265	28	fruit	fruit	NOUN
easat-11220	265	29	ripeness	ripeness	NOUN
easat-11220	265	30	.	.	PUNCT
easat-11220	266	1	this	this	DET
easat-11220	266	2	result	result	NOUN
easat-11220	266	3	suggests	suggest	VERB
easat-11220	266	4	that	that	SCONJ
easat-11220	266	5	borneonet	borneonet	NOUN
easat-11220	266	6	is	be	AUX
easat-11220	266	7	a	a	DET
easat-11220	266	8	more	more	ADV
easat-11220	266	9	reliable	reliable	ADJ
easat-11220	266	10	and	and	CCONJ
easat-11220	266	11	accurate	accurate	ADJ
easat-11220	266	12	model	model	NOUN
easat-11220	266	13	than	than	ADP
easat-11220	266	14	traditional	traditional	ADJ
easat-11220	266	15	methods	method	NOUN
easat-11220	266	16	such	such	ADJ
easat-11220	266	17	as	as	ADP
easat-11220	266	18	knn	knn	PROPN
easat-11220	266	19	,	,	PUNCT
easat-11220	266	20	naive	naive	ADJ
easat-11220	266	21	bayes	bayes	NOUN
easat-11220	266	22	,	,	PUNCT
easat-11220	266	23	svm	svm	ADJ
easat-11220	266	24	,	,	PUNCT
easat-11220	266	25	random	random	ADJ
easat-11220	266	26	forest	forest	NOUN
easat-11220	266	27	,	,	PUNCT
easat-11220	266	28	and	and	CCONJ
easat-11220	266	29	xgboost	xgboost	ADV
easat-11220	266	30	for	for	ADP
easat-11220	266	31	this	this	DET
easat-11220	266	32	specific	specific	ADJ
easat-11220	266	33	task	task	NOUN
easat-11220	266	34	.	.	PUNCT
easat-11220	267	1	3.4	3.4	NUM
easat-11220	267	2	.	.	PUNCT
easat-11220	267	3	comparison	comparison	NOUN
easat-11220	267	4	with	with	ADP
easat-11220	267	5	previous	previous	ADJ
easat-11220	267	6	research	research	NOUN
easat-11220	267	7	this	this	DET
easat-11220	267	8	section	section	NOUN
easat-11220	267	9	provides	provide	VERB
easat-11220	267	10	a	a	DET
easat-11220	267	11	benchmark	benchmark	NOUN
easat-11220	267	12	between	between	ADP
easat-11220	267	13	our	our	PRON
easat-11220	267	14	previous	previous	ADJ
easat-11220	267	15	research	research	NOUN
easat-11220	267	16	using	use	VERB
easat-11220	267	17	the	the	DET
easat-11220	267	18	knn	knn	PROPN
easat-11220	267	19	classifier	classifier	NOUN
easat-11220	267	20	(	(	PUNCT
easat-11220	267	21	k=1	k=1	NOUN
easat-11220	267	22	)	)	PUNCT
easat-11220	268	1	[	[	X
easat-11220	268	2	11	11	NUM
easat-11220	268	3	]	]	PUNCT
easat-11220	268	4	and	and	CCONJ
easat-11220	268	5	the	the	DET
easat-11220	268	6	current	current	ADJ
easat-11220	268	7	study	study	NOUN
easat-11220	268	8	using	use	VERB
easat-11220	268	9	the	the	DET
easat-11220	268	10	borneonet	borneonet	NOUN
easat-11220	268	11	classifier	classifier	NOUN
easat-11220	268	12	.	.	PUNCT
easat-11220	269	1	our	our	PRON
easat-11220	269	2	previous	previous	ADJ
easat-11220	269	3	study	study	NOUN
easat-11220	269	4	used	use	VERB
easat-11220	269	5	a	a	DET
easat-11220	269	6	dataset	dataset	NOUN
easat-11220	269	7	consisting	consist	VERB
easat-11220	269	8	of	of	ADP
easat-11220	269	9	100	100	NUM
easat-11220	269	10	palm	palm	NOUN
easat-11220	269	11	fruit	fruit	NOUN
easat-11220	269	12	image	image	NOUN
easat-11220	269	13	samples	sample	NOUN
easat-11220	269	14	.	.	PUNCT
easat-11220	270	1	table	table	NOUN
easat-11220	270	2	iv	iv	NOUN
easat-11220	270	3	shows	show	VERB
easat-11220	270	4	a	a	DET
easat-11220	270	5	significant	significant	ADJ
easat-11220	270	6	improvement	improvement	NOUN
easat-11220	270	7	in	in	ADP
easat-11220	270	8	model	model	NOUN
easat-11220	270	9	performance	performance	NOUN
easat-11220	270	10	from	from	ADP
easat-11220	270	11	the	the	DET
easat-11220	270	12	previous	previous	ADJ
easat-11220	270	13	analysis	analysis	NOUN
easat-11220	270	14	to	to	ADP
easat-11220	270	15	the	the	DET
easat-11220	270	16	current	current	ADJ
easat-11220	270	17	analysis	analysis	NOUN
easat-11220	270	18	.	.	PUNCT
easat-11220	271	1	accuracy	accuracy	NOUN
easat-11220	271	2	increased	increase	VERB
easat-11220	271	3	from	from	ADP
easat-11220	271	4	0.6250	0.6250	NUM
easat-11220	271	5	to	to	ADP
easat-11220	271	6	0.8000	0.8000	NUM
easat-11220	271	7	,	,	PUNCT
easat-11220	271	8	indicating	indicate	VERB
easat-11220	271	9	that	that	SCONJ
easat-11220	271	10	the	the	DET
easat-11220	271	11	model	model	NOUN
easat-11220	271	12	correctly	correctly	ADV
easat-11220	271	13	predicted	predict	VERB
easat-11220	271	14	more	more	ADJ
easat-11220	271	15	instances	instance	NOUN
easat-11220	271	16	.	.	PUNCT
easat-11220	272	1	precision	precision	NOUN
easat-11220	272	2	improved	improve	VERB
easat-11220	272	3	dramatically	dramatically	ADV
easat-11220	272	4	from	from	ADP
easat-11220	272	5	0.2525	0.2525	NUM
easat-11220	272	6	to	to	ADP
easat-11220	272	7	0.7677	0.7677	NUM
easat-11220	272	8	,	,	PUNCT
easat-11220	272	9	which	which	PRON
easat-11220	272	10	means	mean	VERB
easat-11220	272	11	that	that	SCONJ
easat-11220	272	12	the	the	DET
easat-11220	272	13	model	model	NOUN
easat-11220	272	14	now	now	ADV
easat-11220	272	15	produces	produce	VERB
easat-11220	272	16	fewer	few	ADJ
easat-11220	272	17	false	false	ADJ
easat-11220	272	18	-	-	PUNCT
easat-11220	272	19	positive	positive	ADJ
easat-11220	272	20	errors	error	NOUN
easat-11220	272	21	.	.	PUNCT
easat-11220	273	1	the	the	DET
easat-11220	273	2	recall	recall	NOUN
easat-11220	273	3	increased	increase	VERB
easat-11220	273	4	from	from	ADP
easat-11220	273	5	0.2874	0.2874	NUM
easat-11220	273	6	to	to	ADP
easat-11220	273	7	0.7444	0.7444	NUM
easat-11220	273	8	,	,	PUNCT
easat-11220	273	9	suggesting	suggest	VERB
easat-11220	273	10	that	that	SCONJ
easat-11220	273	11	the	the	DET
easat-11220	273	12	model	model	NOUN
easat-11220	273	13	successfully	successfully	ADV
easat-11220	273	14	identified	identify	VERB
easat-11220	273	15	more	more	ADJ
easat-11220	273	16	true	true	ADJ
easat-11220	273	17	positives	positive	NOUN
easat-11220	273	18	.	.	PUNCT
easat-11220	274	1	the	the	DET
easat-11220	274	2	f1	f1	NOUN
easat-11220	274	3	-	-	PUNCT
easat-11220	274	4	score	score	NOUN
easat-11220	274	5	also	also	ADV
easat-11220	274	6	improved	improve	VERB
easat-11220	274	7	from	from	ADP
easat-11220	274	8	0.2688	0.2688	NUM
easat-11220	274	9	to	to	ADP
easat-11220	274	10	0.7339	0.7339	NUM
easat-11220	274	11	,	,	PUNCT
easat-11220	274	12	highlighting	highlight	VERB
easat-11220	274	13	better	well	ADJ
easat-11220	274	14	overall	overall	ADJ
easat-11220	274	15	classification	classification	NOUN
easat-11220	274	16	effectiveness	effectiveness	NOUN
easat-11220	274	17	.	.	PUNCT
easat-11220	275	1	lastly	lastly	ADV
easat-11220	275	2	,	,	PUNCT
easat-11220	275	3	the	the	DET
easat-11220	275	4	kappa	kappa	PROPN
easat-11220	275	5	score	score	PROPN
easat-11220	275	6	rose	rise	VERB
easat-11220	275	7	from	from	ADP
easat-11220	275	8	0.0099	0.0099	NUM
easat-11220	275	9	to	to	ADP
easat-11220	275	10	0.6859	0.6859	NUM
easat-11220	275	11	,	,	PUNCT
easat-11220	275	12	indicating	indicate	VERB
easat-11220	275	13	a	a	DET
easat-11220	275	14	significant	significant	ADJ
easat-11220	275	15	improvement	improvement	NOUN
easat-11220	275	16	in	in	ADP
easat-11220	275	17	the	the	DET
easat-11220	275	18	agreement	agreement	NOUN
easat-11220	275	19	between	between	ADP
easat-11220	275	20	the	the	DET
easat-11220	275	21	predicted	predict	VERB
easat-11220	275	22	and	and	CCONJ
easat-11220	275	23	actual	actual	ADJ
easat-11220	275	24	classes	class	NOUN
easat-11220	275	25	.	.	PUNCT
easat-11220	276	1	table	table	NOUN
easat-11220	276	2	4	4	NUM
easat-11220	276	3	.	.	PUNCT
easat-11220	276	4	comparison	comparison	NOUN
easat-11220	276	5	of	of	ADP
easat-11220	276	6	previous	previous	ADJ
easat-11220	276	7	and	and	CCONJ
easat-11220	276	8	current	current	ADJ
easat-11220	276	9	studies	study	NOUN
easat-11220	276	10	.	.	PUNCT
easat-11220	277	1	previous	previous	ADJ
easat-11220	277	2	study	study	NOUN
easat-11220	277	3	[	[	X
easat-11220	277	4	11	11	NUM
easat-11220	277	5	]	]	X
easat-11220	277	6	current	current	ADJ
easat-11220	277	7	study	study	NOUN
easat-11220	277	8	accuracy	accuracy	NOUN
easat-11220	277	9	62.50	62.50	NUM
easat-11220	277	10	%	%	NOUN
easat-11220	277	11	80.00	80.00	NUM
easat-11220	277	12	%	%	NOUN
easat-11220	277	13	precision	precision	NOUN
easat-11220	277	14	25.25	25.25	NUM
easat-11220	277	15	%	%	NOUN
easat-11220	277	16	76.77	76.77	NUM
easat-11220	277	17	%	%	NOUN
easat-11220	277	18	recall	recall	VERB
easat-11220	277	19	28.74	28.74	NUM
easat-11220	277	20	%	%	NOUN
easat-11220	277	21	74.44	74.44	NUM
easat-11220	277	22	%	%	NOUN
easat-11220	277	23	f1	f1	NOUN
easat-11220	277	24	-	-	PUNCT
easat-11220	277	25	score	score	NOUN
easat-11220	277	26	26.88	26.88	NUM
easat-11220	277	27	%	%	NOUN
easat-11220	277	28	73.39	73.39	NUM
easat-11220	277	29	%	%	NOUN
easat-11220	277	30	kappa	kappa	NOUN
easat-11220	277	31	0.0099	0.0099	NUM
easat-11220	277	32	0.6859	0.6859	NUM
easat-11220	277	33	4	4	NUM
easat-11220	277	34	.	.	PUNCT
easat-11220	277	35	conclusion	conclusion	NOUN
easat-11220	277	36	this	this	DET
easat-11220	277	37	study	study	NOUN
easat-11220	277	38	introduced	introduce	VERB
easat-11220	277	39	borneonet	borneonet	NOUN
easat-11220	277	40	as	as	ADP
easat-11220	277	41	a	a	DET
easat-11220	277	42	compact	compact	ADJ
easat-11220	277	43	convolutional	convolutional	ADJ
easat-11220	277	44	model	model	NOUN
easat-11220	277	45	designed	design	VERB
easat-11220	277	46	specifically	specifically	ADV
easat-11220	277	47	for	for	ADP
easat-11220	277	48	classifying	classify	VERB
easat-11220	277	49	palm	palm	NOUN
easat-11220	277	50	fruit	fruit	NOUN
easat-11220	277	51	ripeness	ripeness	NOUN
easat-11220	277	52	.	.	PUNCT
easat-11220	278	1	the	the	DET
easat-11220	278	2	architecture	architecture	NOUN
easat-11220	278	3	focuses	focus	VERB
easat-11220	278	4	on	on	ADP
easat-11220	278	5	a	a	DET
easat-11220	278	6	clear	clear	ADJ
easat-11220	278	7	sequence	sequence	NOUN
easat-11220	278	8	of	of	ADP
easat-11220	278	9	convolutional	convolutional	ADJ
easat-11220	278	10	layers	layer	NOUN
easat-11220	278	11	,	,	PUNCT
easat-11220	278	12	batch	batch	NOUN
easat-11220	278	13	normalization	normalization	NOUN
easat-11220	278	14	,	,	PUNCT
easat-11220	278	15	and	and	CCONJ
easat-11220	278	16	max	max	PROPN
easat-11220	278	17	-	-	PUNCT
easat-11220	278	18	pooling	pooling	NOUN
easat-11220	278	19	,	,	PUNCT
easat-11220	278	20	followed	follow	VERB
easat-11220	278	21	by	by	ADP
easat-11220	278	22	two	two	NUM
easat-11220	278	23	fully	fully	ADV
easat-11220	278	24	connected	connected	ADJ
easat-11220	278	25	layers	layer	NOUN
easat-11220	278	26	that	that	PRON
easat-11220	278	27	provide	provide	VERB
easat-11220	278	28	a	a	DET
easat-11220	278	29	balanced	balanced	ADJ
easat-11220	278	30	level	level	NOUN
easat-11220	278	31	of	of	ADP
easat-11220	278	32	abstraction	abstraction	NOUN
easat-11220	278	33	.	.	PUNCT
easat-11220	279	1	this	this	DET
easat-11220	279	2	configuration	configuration	NOUN
easat-11220	279	3	was	be	AUX
easat-11220	279	4	selected	select	VERB
easat-11220	279	5	to	to	PART
easat-11220	279	6	extract	extract	VERB
easat-11220	279	7	relevant	relevant	ADJ
easat-11220	279	8	visual	visual	ADJ
easat-11220	279	9	cues	cue	NOUN
easat-11220	279	10	without	without	ADP
easat-11220	279	11	depending	depend	VERB
easat-11220	279	12	on	on	ADP
easat-11220	279	13	deep	deep	ADJ
easat-11220	279	14	or	or	CCONJ
easat-11220	279	15	computationally	computationally	ADV
easat-11220	279	16	expensive	expensive	ADJ
easat-11220	279	17	networks	network	NOUN
easat-11220	279	18	.	.	PUNCT
easat-11220	280	1	the	the	DET
easat-11220	280	2	evaluation	evaluation	NOUN
easat-11220	280	3	results	result	NOUN
easat-11220	280	4	show	show	VERB
easat-11220	280	5	that	that	SCONJ
easat-11220	280	6	this	this	DET
easat-11220	280	7	design	design	NOUN
easat-11220	280	8	is	be	AUX
easat-11220	280	9	effective	effective	ADJ
easat-11220	280	10	1399	1399	NUM
easat-11220	280	11	edelweiss	edelweiss	PROPN
easat-11220	280	12	applied	apply	VERB
easat-11220	280	13	science	science	NOUN
easat-11220	280	14	and	and	CCONJ
easat-11220	280	15	technology	technology	NOUN
easat-11220	280	16	issn	issn	PROPN
easat-11220	280	17	:	:	PUNCT
easat-11220	280	18	2576	2576	NUM
easat-11220	280	19	-	-	SYM
easat-11220	280	20	8484	8484	NUM
easat-11220	280	21	vol	vol	NOUN
easat-11220	280	22	.	.	PROPN
easat-11220	281	1	9	9	NUM
easat-11220	281	2	,	,	PUNCT
easat-11220	281	3	no	no	INTJ
easat-11220	281	4	.	.	NOUN
easat-11220	281	5	11	11	NUM
easat-11220	281	6	:	:	PUNCT
easat-11220	281	7	1389	1389	NUM
easat-11220	281	8	-	-	SYM
easat-11220	281	9	1401	1401	NUM
easat-11220	281	10	,	,	PUNCT
easat-11220	281	11	2025	2025	NUM
easat-11220	281	12	doi	doi	NOUN
easat-11220	281	13	:	:	PUNCT
easat-11220	281	14	10.55214/2576	10.55214/2576	NUM
easat-11220	281	15	-	-	SYM
easat-11220	281	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	282	1	©	©	PROPN
easat-11220	282	2	2025	2025	NUM
easat-11220	282	3	by	by	ADP
easat-11220	282	4	the	the	DET
easat-11220	282	5	authors	author	NOUN
easat-11220	282	6	;	;	PUNCT
easat-11220	282	7	licensee	licensee	PROPN
easat-11220	282	8	learning	learning	NOUN
easat-11220	282	9	gate	gate	NOUN
easat-11220	282	10	in	in	ADP
easat-11220	282	11	learning	learn	VERB
easat-11220	282	12	the	the	DET
easat-11220	282	13	distinctions	distinction	NOUN
easat-11220	282	14	between	between	ADP
easat-11220	282	15	unripe	unripe	NOUN
easat-11220	282	16	,	,	PUNCT
easat-11220	282	17	half	half	ADJ
easat-11220	282	18	-	-	PUNCT
easat-11220	282	19	ripe	ripe	ADJ
easat-11220	282	20	,	,	PUNCT
easat-11220	282	21	and	and	CCONJ
easat-11220	282	22	ripe	ripe	ADJ
easat-11220	282	23	fruit	fruit	NOUN
easat-11220	282	24	,	,	PUNCT
easat-11220	282	25	even	even	ADV
easat-11220	282	26	when	when	SCONJ
easat-11220	282	27	working	work	VERB
easat-11220	282	28	with	with	ADP
easat-11220	282	29	images	image	NOUN
easat-11220	282	30	that	that	PRON
easat-11220	282	31	vary	vary	VERB
easat-11220	282	32	in	in	ADP
easat-11220	282	33	color	color	NOUN
easat-11220	282	34	intensity	intensity	NOUN
easat-11220	282	35	,	,	PUNCT
easat-11220	282	36	lighting	lighting	NOUN
easat-11220	282	37	conditions	condition	NOUN
easat-11220	282	38	,	,	PUNCT
easat-11220	282	39	and	and	CCONJ
easat-11220	282	40	fruit	fruit	NOUN
easat-11220	282	41	orientation	orientation	NOUN
easat-11220	282	42	.	.	PUNCT
easat-11220	283	1	the	the	DET
easat-11220	283	2	comparative	comparative	ADJ
easat-11220	283	3	analysis	analysis	NOUN
easat-11220	283	4	offers	offer	VERB
easat-11220	283	5	further	further	ADJ
easat-11220	283	6	insights	insight	NOUN
easat-11220	283	7	into	into	ADP
easat-11220	283	8	the	the	DET
easat-11220	283	9	strengths	strength	NOUN
easat-11220	283	10	of	of	ADP
easat-11220	283	11	this	this	DET
easat-11220	283	12	approach	approach	NOUN
easat-11220	283	13	.	.	PUNCT
easat-11220	284	1	in	in	ADP
easat-11220	284	2	terms	term	NOUN
easat-11220	284	3	of	of	ADP
easat-11220	284	4	accuracy	accuracy	NOUN
easat-11220	284	5	,	,	PUNCT
easat-11220	284	6	precision	precision	NOUN
easat-11220	284	7	,	,	PUNCT
easat-11220	284	8	recall	recall	NOUN
easat-11220	284	9	,	,	PUNCT
easat-11220	284	10	f1	f1	NOUN
easat-11220	284	11	-	-	PUNCT
easat-11220	284	12	score	score	NOUN
easat-11220	284	13	,	,	PUNCT
easat-11220	284	14	and	and	CCONJ
easat-11220	284	15	kappa	kappa	PROPN
easat-11220	284	16	,	,	PUNCT
easat-11220	284	17	borneonet	borneonet	NOUN
easat-11220	284	18	consistently	consistently	ADV
easat-11220	284	19	outperformed	outperform	VERB
easat-11220	284	20	knn	knn	PROPN
easat-11220	284	21	,	,	PUNCT
easat-11220	284	22	naive	naive	ADJ
easat-11220	284	23	bayes	bayes	NOUN
easat-11220	284	24	,	,	PUNCT
easat-11220	284	25	svm	svm	ADJ
easat-11220	284	26	,	,	PUNCT
easat-11220	284	27	random	random	ADJ
easat-11220	284	28	forest	forest	NOUN
easat-11220	284	29	,	,	PUNCT
easat-11220	284	30	and	and	CCONJ
easat-11220	284	31	xgboost	xgboost	X
easat-11220	284	32	.	.	PUNCT
easat-11220	285	1	these	these	DET
easat-11220	285	2	results	result	NOUN
easat-11220	285	3	were	be	AUX
easat-11220	285	4	supported	support	VERB
easat-11220	285	5	by	by	ADP
easat-11220	285	6	the	the	DET
easat-11220	285	7	mcnemar	mcnemar	PROPN
easat-11220	285	8	test	test	NOUN
easat-11220	285	9	,	,	PUNCT
easat-11220	285	10	which	which	PRON
easat-11220	285	11	confirmed	confirm	VERB
easat-11220	285	12	that	that	SCONJ
easat-11220	285	13	the	the	DET
easat-11220	285	14	differences	difference	NOUN
easat-11220	285	15	were	be	AUX
easat-11220	285	16	statistically	statistically	ADV
easat-11220	285	17	significant	significant	ADJ
easat-11220	285	18	rather	rather	ADV
easat-11220	285	19	than	than	ADP
easat-11220	285	20	incidental	incidental	ADJ
easat-11220	285	21	.	.	PUNCT
easat-11220	286	1	the	the	DET
easat-11220	286	2	findings	finding	NOUN
easat-11220	286	3	suggest	suggest	VERB
easat-11220	286	4	that	that	SCONJ
easat-11220	286	5	a	a	DET
easat-11220	286	6	task	task	NOUN
easat-11220	286	7	-	-	PUNCT
easat-11220	286	8	focused	focus	VERB
easat-11220	286	9	architecture	architecture	NOUN
easat-11220	286	10	can	can	AUX
easat-11220	286	11	achieve	achieve	VERB
easat-11220	286	12	reliable	reliable	ADJ
easat-11220	286	13	performance	performance	NOUN
easat-11220	286	14	when	when	SCONJ
easat-11220	286	15	designed	design	VERB
easat-11220	286	16	around	around	ADP
easat-11220	286	17	the	the	DET
easat-11220	286	18	dataset	dataset	NOUN
easat-11220	286	19	's	's	PART
easat-11220	286	20	characteristics	characteristic	NOUN
easat-11220	286	21	.	.	PUNCT
easat-11220	287	1	the	the	DET
easat-11220	287	2	model	model	NOUN
easat-11220	287	3	remained	remain	VERB
easat-11220	287	4	stable	stable	ADJ
easat-11220	287	5	across	across	ADP
easat-11220	287	6	different	different	ADJ
easat-11220	287	7	classes	class	NOUN
easat-11220	287	8	,	,	PUNCT
easat-11220	287	9	indicating	indicate	VERB
easat-11220	287	10	that	that	SCONJ
easat-11220	287	11	the	the	DET
easat-11220	287	12	chosen	choose	VERB
easat-11220	287	13	structure	structure	NOUN
easat-11220	287	14	is	be	AUX
easat-11220	287	15	well	well	ADV
easat-11220	287	16	-	-	PUNCT
easat-11220	287	17	suited	suit	VERB
easat-11220	287	18	for	for	ADP
easat-11220	287	19	datasets	dataset	NOUN
easat-11220	287	20	containing	contain	VERB
easat-11220	287	21	subtle	subtle	ADJ
easat-11220	287	22	differences	difference	NOUN
easat-11220	287	23	in	in	ADP
easat-11220	287	24	visual	visual	ADJ
easat-11220	287	25	appearance	appearance	NOUN
easat-11220	287	26	.	.	PUNCT
easat-11220	288	1	beyond	beyond	ADP
easat-11220	288	2	its	its	PRON
easat-11220	288	3	predictive	predictive	ADJ
easat-11220	288	4	performance	performance	NOUN
easat-11220	288	5	,	,	PUNCT
easat-11220	288	6	the	the	DET
easat-11220	288	7	lightweight	lightweight	ADJ
easat-11220	288	8	nature	nature	NOUN
easat-11220	288	9	of	of	ADP
easat-11220	288	10	borneonet	borneonet	NOUN
easat-11220	288	11	creates	create	VERB
easat-11220	288	12	opportunities	opportunity	NOUN
easat-11220	288	13	for	for	ADP
easat-11220	288	14	practical	practical	ADJ
easat-11220	288	15	use	use	NOUN
easat-11220	288	16	in	in	ADP
easat-11220	288	17	plantation	plantation	NOUN
easat-11220	288	18	settings	setting	NOUN
easat-11220	288	19	.	.	PUNCT
easat-11220	289	1	many	many	ADJ
easat-11220	289	2	agricultural	agricultural	ADJ
easat-11220	289	3	applications	application	NOUN
easat-11220	289	4	rely	rely	VERB
easat-11220	289	5	on	on	ADP
easat-11220	289	6	devices	device	NOUN
easat-11220	289	7	with	with	ADP
easat-11220	289	8	limited	limited	ADJ
easat-11220	289	9	computing	computing	NOUN
easat-11220	289	10	power	power	NOUN
easat-11220	289	11	,	,	PUNCT
easat-11220	289	12	and	and	CCONJ
easat-11220	289	13	models	model	NOUN
easat-11220	289	14	with	with	ADP
easat-11220	289	15	small	small	ADJ
easat-11220	289	16	computational	computational	ADJ
easat-11220	289	17	requirements	requirement	NOUN
easat-11220	289	18	are	be	AUX
easat-11220	289	19	more	more	ADV
easat-11220	289	20	realistic	realistic	ADJ
easat-11220	289	21	for	for	ADP
easat-11220	289	22	field	field	NOUN
easat-11220	289	23	operation	operation	NOUN
easat-11220	289	24	.	.	PUNCT
easat-11220	290	1	borneonet	borneonet	NOUN
easat-11220	290	2	offers	offer	VERB
easat-11220	290	3	an	an	DET
easat-11220	290	4	example	example	NOUN
easat-11220	290	5	of	of	ADP
easat-11220	290	6	how	how	SCONJ
easat-11220	290	7	a	a	DET
easat-11220	290	8	streamlined	streamlined	ADJ
easat-11220	290	9	architecture	architecture	NOUN
easat-11220	290	10	can	can	AUX
easat-11220	290	11	support	support	VERB
easat-11220	290	12	real	real	ADJ
easat-11220	290	13	-	-	PUNCT
easat-11220	290	14	time	time	NOUN
easat-11220	290	15	classification	classification	NOUN
easat-11220	290	16	without	without	ADP
easat-11220	290	17	requiring	require	VERB
easat-11220	290	18	large	large	ADJ
easat-11220	290	19	memory	memory	NOUN
easat-11220	290	20	consumption	consumption	NOUN
easat-11220	290	21	or	or	CCONJ
easat-11220	290	22	specialized	specialized	ADJ
easat-11220	290	23	hardware	hardware	NOUN
easat-11220	290	24	.	.	PUNCT
easat-11220	291	1	future	future	ADJ
easat-11220	291	2	work	work	NOUN
easat-11220	291	3	may	may	AUX
easat-11220	291	4	extend	extend	VERB
easat-11220	291	5	this	this	DET
easat-11220	291	6	research	research	NOUN
easat-11220	291	7	by	by	ADP
easat-11220	291	8	evaluating	evaluate	VERB
easat-11220	291	9	the	the	DET
easat-11220	291	10	model	model	NOUN
easat-11220	291	11	on	on	ADP
easat-11220	291	12	a	a	DET
easat-11220	291	13	wider	wide	ADJ
easat-11220	291	14	range	range	NOUN
easat-11220	291	15	of	of	ADP
easat-11220	291	16	plantation	plantation	NOUN
easat-11220	291	17	environments	environment	NOUN
easat-11220	291	18	,	,	PUNCT
easat-11220	291	19	incorporating	incorporate	VERB
easat-11220	291	20	more	more	ADV
easat-11220	291	21	diverse	diverse	ADJ
easat-11220	291	22	image	image	NOUN
easat-11220	291	23	conditions	condition	NOUN
easat-11220	291	24	,	,	PUNCT
easat-11220	291	25	and	and	CCONJ
easat-11220	291	26	exploring	explore	VERB
easat-11220	291	27	its	its	PRON
easat-11220	291	28	integration	integration	NOUN
easat-11220	291	29	into	into	ADP
easat-11220	291	30	field	field	NOUN
easat-11220	291	31	-	-	PUNCT
easat-11220	291	32	ready	ready	ADJ
easat-11220	291	33	systems	system	NOUN
easat-11220	291	34	for	for	ADP
easat-11220	291	35	harvest	harvest	NOUN
easat-11220	291	36	monitoring	monitoring	NOUN
easat-11220	291	37	.	.	PUNCT
easat-11220	292	1	these	these	DET
easat-11220	292	2	steps	step	NOUN
easat-11220	292	3	will	will	AUX
easat-11220	292	4	help	help	VERB
easat-11220	292	5	advance	advance	VERB
easat-11220	292	6	the	the	DET
easat-11220	292	7	development	development	NOUN
easat-11220	292	8	of	of	ADP
easat-11220	292	9	simple	simple	ADJ
easat-11220	292	10	yet	yet	CCONJ
easat-11220	292	11	well	well	ADV
easat-11220	292	12	-	-	PUNCT
easat-11220	292	13	targeted	target	VERB
easat-11220	292	14	models	model	NOUN
easat-11220	292	15	that	that	PRON
easat-11220	292	16	support	support	VERB
easat-11220	292	17	the	the	DET
easat-11220	292	18	growing	grow	VERB
easat-11220	292	19	needs	need	NOUN
easat-11220	292	20	of	of	ADP
easat-11220	292	21	precision	precision	NOUN
easat-11220	292	22	agriculture	agriculture	NOUN
easat-11220	292	23	.	.	PUNCT
easat-11220	293	1	funding	funding	NOUN
easat-11220	293	2	:	:	PUNCT
easat-11220	293	3	this	this	DET
easat-11220	293	4	research	research	NOUN
easat-11220	293	5	was	be	AUX
easat-11220	293	6	supported	support	VERB
easat-11220	293	7	by	by	ADP
easat-11220	293	8	a	a	DET
easat-11220	293	9	grant	grant	NOUN
easat-11220	293	10	from	from	ADP
easat-11220	293	11	the	the	DET
easat-11220	293	12	hibah	hibah	PROPN
easat-11220	293	13	penelitian	penelitian	PROPN
easat-11220	293	14	skema	skema	VERB
easat-11220	293	15	fundamental	fundamental	ADJ
easat-11220	293	16	–	–	PUNCT
easat-11220	293	17	reguler	reguler	NOUN
easat-11220	293	18	funded	fund	VERB
easat-11220	293	19	by	by	ADP
easat-11220	293	20	the	the	DET
easat-11220	293	21	directorate	directorate	NOUN
easat-11220	293	22	of	of	ADP
easat-11220	293	23	research	research	NOUN
easat-11220	293	24	,	,	PUNCT
easat-11220	293	25	technology	technology	NOUN
easat-11220	293	26	,	,	PUNCT
easat-11220	293	27	and	and	CCONJ
easat-11220	293	28	community	community	NOUN
easat-11220	293	29	service	service	NOUN
easat-11220	293	30	(	(	PUNCT
easat-11220	293	31	direktorat	direktorat	NOUN
easat-11220	293	32	riset	riset	NOUN
easat-11220	293	33	,	,	PUNCT
easat-11220	293	34	teknologi	teknologi	PROPN
easat-11220	293	35	,	,	PUNCT
easat-11220	293	36	dan	dan	PROPN
easat-11220	293	37	pengabdian	pengabdian	PROPN
easat-11220	293	38	kepada	kepada	PROPN
easat-11220	293	39	masyarakat	masyarakat	PROPN
easat-11220	293	40	)	)	PUNCT
easat-11220	293	41	,	,	PUNCT
easat-11220	293	42	ministry	ministry	NOUN
easat-11220	293	43	of	of	ADP
easat-11220	293	44	higher	high	ADJ
easat-11220	293	45	education	education	NOUN
easat-11220	293	46	,	,	PUNCT
easat-11220	293	47	science	science	NOUN
easat-11220	293	48	,	,	PUNCT
easat-11220	293	49	and	and	CCONJ
easat-11220	293	50	technology	technology	NOUN
easat-11220	293	51	of	of	ADP
easat-11220	293	52	indonesia	indonesia	PROPN
easat-11220	293	53	.	.	PUNCT
easat-11220	294	1	institutional	institutional	ADJ
easat-11220	294	2	review	review	PROPN
easat-11220	294	3	board	board	NOUN
easat-11220	294	4	statement	statement	NOUN
easat-11220	294	5	:	:	PUNCT
easat-11220	294	6	this	this	DET
easat-11220	294	7	study	study	NOUN
easat-11220	294	8	did	do	AUX
easat-11220	294	9	not	not	PART
easat-11220	294	10	involve	involve	VERB
easat-11220	294	11	any	any	DET
easat-11220	294	12	human	human	ADJ
easat-11220	294	13	participants	participant	NOUN
easat-11220	294	14	,	,	PUNCT
easat-11220	294	15	personal	personal	ADJ
easat-11220	294	16	data	datum	NOUN
easat-11220	294	17	,	,	PUNCT
easat-11220	294	18	or	or	CCONJ
easat-11220	294	19	human	human	NOUN
easat-11220	294	20	-	-	PUNCT
easat-11220	294	21	related	relate	VERB
easat-11220	294	22	interventions	intervention	NOUN
easat-11220	294	23	.	.	PUNCT
easat-11220	295	1	the	the	DET
easat-11220	295	2	data	datum	NOUN
easat-11220	295	3	used	use	VERB
easat-11220	295	4	in	in	ADP
easat-11220	295	5	this	this	DET
easat-11220	295	6	research	research	NOUN
easat-11220	295	7	consisted	consist	VERB
easat-11220	295	8	solely	solely	ADV
easat-11220	295	9	of	of	ADP
easat-11220	295	10	photographic	photographic	ADJ
easat-11220	295	11	images	image	NOUN
easat-11220	295	12	of	of	ADP
easat-11220	295	13	oil	oil	NOUN
easat-11220	295	14	palm	palm	NOUN
easat-11220	295	15	fruits	fruit	NOUN
easat-11220	295	16	collected	collect	VERB
easat-11220	295	17	in	in	ADP
easat-11220	295	18	an	an	DET
easat-11220	295	19	open	open	ADJ
easat-11220	295	20	plantation	plantation	NOUN
easat-11220	295	21	environment	environment	NOUN
easat-11220	295	22	.	.	PUNCT
easat-11220	296	1	no	no	DET
easat-11220	296	2	identifiable	identifiable	ADJ
easat-11220	296	3	or	or	CCONJ
easat-11220	296	4	sensitive	sensitive	ADJ
easat-11220	296	5	information	information	NOUN
easat-11220	296	6	was	be	AUX
easat-11220	296	7	obtained	obtain	VERB
easat-11220	296	8	,	,	PUNCT
easat-11220	296	9	and	and	CCONJ
easat-11220	296	10	no	no	DET
easat-11220	296	11	interaction	interaction	NOUN
easat-11220	296	12	with	with	ADP
easat-11220	296	13	individuals	individual	NOUN
easat-11220	296	14	occurred	occur	VERB
easat-11220	296	15	during	during	ADP
easat-11220	296	16	the	the	DET
easat-11220	296	17	data	data	NOUN
easat-11220	296	18	acquisition	acquisition	NOUN
easat-11220	296	19	process	process	NOUN
easat-11220	296	20	.	.	PUNCT
easat-11220	297	1	as	as	SCONJ
easat-11220	297	2	the	the	DET
easat-11220	297	3	research	research	NOUN
easat-11220	297	4	activities	activity	NOUN
easat-11220	297	5	did	do	AUX
easat-11220	297	6	not	not	PART
easat-11220	297	7	include	include	VERB
easat-11220	297	8	experiments	experiment	NOUN
easat-11220	297	9	involving	involve	VERB
easat-11220	297	10	humans	human	NOUN
easat-11220	297	11	or	or	CCONJ
easat-11220	297	12	animals	animal	NOUN
easat-11220	297	13	,	,	PUNCT
easat-11220	297	14	formal	formal	ADJ
easat-11220	297	15	ethical	ethical	ADJ
easat-11220	297	16	approval	approval	NOUN
easat-11220	297	17	from	from	ADP
easat-11220	297	18	an	an	DET
easat-11220	297	19	institutional	institutional	ADJ
easat-11220	297	20	review	review	NOUN
easat-11220	297	21	board	board	NOUN
easat-11220	297	22	was	be	AUX
easat-11220	297	23	not	not	PART
easat-11220	297	24	required	require	VERB
easat-11220	297	25	.	.	PUNCT
easat-11220	298	1	transparency	transparency	NOUN
easat-11220	298	2	:	:	PUNCT
easat-11220	298	3	the	the	DET
easat-11220	298	4	authors	author	NOUN
easat-11220	298	5	confirm	confirm	VERB
easat-11220	298	6	that	that	SCONJ
easat-11220	298	7	the	the	DET
easat-11220	298	8	manuscript	manuscript	NOUN
easat-11220	298	9	is	be	AUX
easat-11220	298	10	an	an	DET
easat-11220	298	11	honest	honest	ADJ
easat-11220	298	12	,	,	PUNCT
easat-11220	298	13	accurate	accurate	ADJ
easat-11220	298	14	,	,	PUNCT
easat-11220	298	15	and	and	CCONJ
easat-11220	298	16	transparent	transparent	ADJ
easat-11220	298	17	account	account	NOUN
easat-11220	298	18	of	of	ADP
easat-11220	298	19	the	the	DET
easat-11220	298	20	study	study	NOUN
easat-11220	298	21	;	;	PUNCT
easat-11220	298	22	that	that	SCONJ
easat-11220	298	23	no	no	DET
easat-11220	298	24	vital	vital	ADJ
easat-11220	298	25	features	feature	NOUN
easat-11220	298	26	of	of	ADP
easat-11220	298	27	the	the	DET
easat-11220	298	28	study	study	NOUN
easat-11220	298	29	have	have	AUX
easat-11220	298	30	been	be	AUX
easat-11220	298	31	omitted	omit	VERB
easat-11220	298	32	;	;	PUNCT
easat-11220	298	33	and	and	CCONJ
easat-11220	298	34	that	that	SCONJ
easat-11220	298	35	any	any	DET
easat-11220	298	36	discrepancies	discrepancy	NOUN
easat-11220	298	37	from	from	ADP
easat-11220	298	38	the	the	DET
easat-11220	298	39	study	study	NOUN
easat-11220	298	40	as	as	SCONJ
easat-11220	298	41	planned	plan	VERB
easat-11220	298	42	have	have	AUX
easat-11220	298	43	been	be	AUX
easat-11220	298	44	explained	explain	VERB
easat-11220	298	45	.	.	PUNCT
easat-11220	299	1	this	this	DET
easat-11220	299	2	study	study	NOUN
easat-11220	299	3	followed	follow	VERB
easat-11220	299	4	all	all	DET
easat-11220	299	5	ethical	ethical	ADJ
easat-11220	299	6	practices	practice	NOUN
easat-11220	299	7	during	during	ADP
easat-11220	299	8	writing	writing	NOUN
easat-11220	299	9	.	.	PUNCT
easat-11220	300	1	copyright	copyright	NOUN
easat-11220	300	2	:	:	PUNCT
easat-11220	300	3	©	©	PROPN
easat-11220	300	4	2025	2025	NUM
easat-11220	300	5	by	by	ADP
easat-11220	300	6	the	the	DET
easat-11220	300	7	authors	author	NOUN
easat-11220	300	8	.	.	PUNCT
easat-11220	301	1	this	this	DET
easat-11220	301	2	article	article	NOUN
easat-11220	301	3	is	be	AUX
easat-11220	301	4	an	an	DET
easat-11220	301	5	open	open	ADJ
easat-11220	301	6	-	-	PUNCT
easat-11220	301	7	access	access	NOUN
easat-11220	301	8	article	article	NOUN
easat-11220	301	9	distributed	distribute	VERB
easat-11220	301	10	under	under	ADP
easat-11220	301	11	the	the	DET
easat-11220	301	12	terms	term	NOUN
easat-11220	301	13	and	and	CCONJ
easat-11220	301	14	conditions	condition	NOUN
easat-11220	301	15	of	of	ADP
easat-11220	301	16	the	the	DET
easat-11220	301	17	creative	creative	ADJ
easat-11220	301	18	commons	common	NOUN
easat-11220	301	19	attribution	attribution	NOUN
easat-11220	301	20	(	(	PUNCT
easat-11220	301	21	cc	cc	NOUN
easat-11220	301	22	by	by	ADP
easat-11220	301	23	)	)	PUNCT
easat-11220	301	24	license	license	NOUN
easat-11220	301	25	(	(	PUNCT
easat-11220	301	26	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-11220	301	27	)	)	PUNCT
easat-11220	301	28	.	.	PUNCT
easat-11220	302	1	references	reference	NOUN
easat-11220	302	2	[	[	X
easat-11220	302	3	1	1	X
easat-11220	302	4	]	]	PUNCT
easat-11220	302	5	s.	s.	PROPN
easat-11220	302	6	saifullah	saifullah	PROPN
easat-11220	302	7	,	,	PUNCT
easat-11220	302	8	d.	d.	PROPN
easat-11220	302	9	b.	b.	PROPN
easat-11220	302	10	prasetyo	prasetyo	PROPN
easat-11220	302	11	,	,	PUNCT
easat-11220	302	12	r.	r.	PROPN
easat-11220	302	13	dreżewski	dreżewski	PROPN
easat-11220	302	14	,	,	PUNCT
easat-11220	302	15	and	and	CCONJ
easat-11220	302	16	f.	f.	PROPN
easat-11220	302	17	a.	a.	PROPN
easat-11220	302	18	dwiyanto	dwiyanto	PROPN
easat-11220	302	19	,	,	PUNCT
easat-11220	302	20	"	"	PUNCT
easat-11220	302	21	palm	palm	NOUN
easat-11220	302	22	oil	oil	NOUN
easat-11220	302	23	maturity	maturity	NOUN
easat-11220	302	24	classification	classification	NOUN
easat-11220	302	25	using	use	VERB
easat-11220	302	26	k	k	NOUN
easat-11220	302	27	-	-	PUNCT
easat-11220	302	28	nearest	near	ADJ
easat-11220	302	29	neighbors	neighbor	NOUN
easat-11220	302	30	based	base	VERB
easat-11220	302	31	on	on	ADP
easat-11220	302	32	rgb	rgb	PROPN
easat-11220	302	33	and	and	CCONJ
easat-11220	302	34	l	l	PROPN
easat-11220	302	35	*	*	PROPN
easat-11220	302	36	a	a	PROPN
easat-11220	302	37	*	*	X
easat-11220	302	38	b	b	NOUN
easat-11220	302	39	color	color	NOUN
easat-11220	302	40	extraction	extraction	NOUN
easat-11220	302	41	,	,	PUNCT
easat-11220	302	42	"	"	PUNCT
easat-11220	302	43	procedia	procedia	NOUN
easat-11220	302	44	computer	computer	NOUN
easat-11220	302	45	science	science	NOUN
easat-11220	302	46	,	,	PUNCT
easat-11220	302	47	vol	vol	NOUN
easat-11220	302	48	.	.	PROPN
easat-11220	302	49	225	225	NUM
easat-11220	302	50	,	,	PUNCT
easat-11220	302	51	pp	pp	ADJ
easat-11220	302	52	.	.	PUNCT
easat-11220	303	1	3011	3011	NUM
easat-11220	303	2	-	-	SYM
easat-11220	303	3	3020	3020	NUM
easat-11220	303	4	,	,	PUNCT
easat-11220	303	5	2023	2023	NUM
easat-11220	303	6	.	.	PUNCT
easat-11220	304	1	https://doi.org/10.1016/j.procs.2023.10.294	https://doi.org/10.1016/j.procs.2023.10.294	NOUN
easat-11220	304	2	[	[	X
easat-11220	304	3	2	2	X
easat-11220	304	4	]	]	PUNCT
easat-11220	304	5	h.	h.	PROPN
easat-11220	304	6	sastrohartono	sastrohartono	PROPN
easat-11220	304	7	,	,	PUNCT
easat-11220	304	8	a.	a.	NOUN
easat-11220	304	9	p.	p.	NOUN
easat-11220	304	10	suryotomo	suryotomo	PROPN
easat-11220	304	11	,	,	PUNCT
easat-11220	304	12	s.	s.	PROPN
easat-11220	304	13	saifullah	saifullah	PROPN
easat-11220	304	14	,	,	PUNCT
easat-11220	304	15	t.	t.	PROPN
easat-11220	304	16	suparyanto	suparyanto	PROPN
easat-11220	304	17	,	,	PUNCT
easat-11220	304	18	a.	a.	PROPN
easat-11220	304	19	s.	s.	PROPN
easat-11220	304	20	perbangsa	perbangsa	PROPN
easat-11220	304	21	,	,	PUNCT
easat-11220	304	22	and	and	CCONJ
easat-11220	304	23	b.	b.	PROPN
easat-11220	304	24	pardamean	pardamean	PROPN
easat-11220	304	25	,	,	PUNCT
easat-11220	304	26	"	"	PUNCT
easat-11220	304	27	drone	drone	NOUN
easat-11220	304	28	application	application	NOUN
easat-11220	304	29	model	model	NOUN
easat-11220	304	30	for	for	ADP
easat-11220	304	31	image	image	NOUN
easat-11220	304	32	acquisition	acquisition	NOUN
easat-11220	304	33	of	of	ADP
easat-11220	304	34	plantation	plantation	NOUN
easat-11220	304	35	areas	area	NOUN
easat-11220	304	36	and	and	CCONJ
easat-11220	304	37	oil	oil	NOUN
easat-11220	304	38	palm	palm	NOUN
easat-11220	304	39	trees	tree	NOUN
easat-11220	304	40	counting	counting	NOUN
easat-11220	304	41	,	,	PUNCT
easat-11220	304	42	"	"	PUNCT
easat-11220	304	43	presented	present	VERB
easat-11220	304	44	at	at	ADP
easat-11220	304	45	the	the	DET
easat-11220	304	46	2022	2022	NUM
easat-11220	304	47	international	international	ADJ
easat-11220	304	48	conference	conference	NOUN
easat-11220	304	49	on	on	ADP
easat-11220	304	50	information	information	NOUN
easat-11220	304	51	management	management	NOUN
easat-11220	304	52	and	and	CCONJ
easat-11220	304	53	technology	technology	NOUN
easat-11220	304	54	(	(	PUNCT
easat-11220	304	55	icimtech	icimtech	PROPN
easat-11220	304	56	)	)	PUNCT
easat-11220	304	57	,	,	PUNCT
easat-11220	304	58	2022	2022	NUM
easat-11220	304	59	.	.	PUNCT
easat-11220	305	1	[	[	X
easat-11220	305	2	3	3	X
easat-11220	305	3	]	]	PUNCT
easat-11220	305	4	z.	z.	PROPN
easat-11220	305	5	alamsyah	alamsyah	PROPN
easat-11220	305	6	,	,	PUNCT
easat-11220	305	7	y.	y.	PROPN
easat-11220	305	8	suandi	suandi	PROPN
easat-11220	305	9	damayanti	damayanti	PROPN
easat-11220	305	10	,	,	PUNCT
easat-11220	305	11	r.	r.	PROPN
easat-11220	305	12	o.	o.	PROPN
easat-11220	305	13	ulma	ulma	PROPN
easat-11220	305	14	,	,	PUNCT
easat-11220	305	15	and	and	CCONJ
easat-11220	305	16	e.	e.	PROPN
easat-11220	305	17	effran	effran	PROPN
easat-11220	305	18	,	,	PUNCT
easat-11220	305	19	"	"	PUNCT
easat-11220	305	20	optimization	optimization	NOUN
easat-11220	305	21	and	and	CCONJ
easat-11220	305	22	business	business	NOUN
easat-11220	305	23	risk	risk	NOUN
easat-11220	305	24	analysis	analysis	NOUN
easat-11220	305	25	on	on	ADP
easat-11220	305	26	independent	independent	ADJ
easat-11220	305	27	oil	oil	NOUN
easat-11220	305	28	palm	palm	NOUN
easat-11220	305	29	farming	farming	NOUN
easat-11220	305	30	in	in	ADP
easat-11220	305	31	muara	muara	PROPN
easat-11220	305	32	tembesi	tembesi	NOUN
easat-11220	305	33	district	district	NOUN
easat-11220	305	34	,	,	PUNCT
easat-11220	305	35	batanghari	batanghari	PROPN
easat-11220	305	36	regency	regency	PROPN
easat-11220	305	37	,	,	PUNCT
easat-11220	305	38	"	"	PUNCT
easat-11220	305	39	journal	journal	NOUN
easat-11220	305	40	of	of	ADP
easat-11220	305	41	agri	agri	NOUN
easat-11220	305	42	socio	socio	NOUN
easat-11220	305	43	economics	economic	NOUN
easat-11220	305	44	and	and	CCONJ
easat-11220	305	45	business	business	NOUN
easat-11220	305	46	,	,	PUNCT
easat-11220	305	47	vol	vol	NOUN
easat-11220	305	48	.	.	PROPN
easat-11220	305	49	5	5	NUM
easat-11220	305	50	,	,	PUNCT
easat-11220	305	51	no	no	INTJ
easat-11220	305	52	.	.	NOUN
easat-11220	305	53	2	2	NUM
easat-11220	305	54	,	,	PUNCT
easat-11220	305	55	pp	pp	ADJ
easat-11220	305	56	.	.	PUNCT
easat-11220	306	1	49–64	49–64	NUM
easat-11220	306	2	,	,	PUNCT
easat-11220	306	3	2023	2023	NUM
easat-11220	306	4	.	.	PUNCT
easat-11220	307	1	https://doi.org/10.31186/jaseb.5.2.49-64	https://doi.org/10.31186/jaseb.5.2.49-64	PROPN
easat-11220	307	2	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-11220	307	3	https://doi.org/10.1016/j.procs.2023.10.294	https://doi.org/10.1016/j.procs.2023.10.294	NUM
easat-11220	307	4	https://doi.org/10.31186/jaseb.5.2.49-64	https://doi.org/10.31186/jaseb.5.2.49-64	PROPN
easat-11220	307	5	1400	1400	NUM
easat-11220	307	6	edelweiss	edelweiss	PROPN
easat-11220	307	7	applied	apply	VERB
easat-11220	307	8	science	science	NOUN
easat-11220	307	9	and	and	CCONJ
easat-11220	307	10	technology	technology	NOUN
easat-11220	307	11	issn	issn	PROPN
easat-11220	307	12	:	:	PUNCT
easat-11220	307	13	2576	2576	NUM
easat-11220	307	14	-	-	SYM
easat-11220	307	15	8484	8484	NUM
easat-11220	307	16	vol	vol	NOUN
easat-11220	307	17	.	.	PROPN
easat-11220	308	1	9	9	NUM
easat-11220	308	2	,	,	PUNCT
easat-11220	308	3	no	no	INTJ
easat-11220	308	4	.	.	NOUN
easat-11220	308	5	11	11	NUM
easat-11220	308	6	:	:	PUNCT
easat-11220	308	7	1389	1389	NUM
easat-11220	308	8	-	-	SYM
easat-11220	308	9	1401	1401	NUM
easat-11220	308	10	,	,	PUNCT
easat-11220	308	11	2025	2025	NUM
easat-11220	308	12	doi	doi	NOUN
easat-11220	308	13	:	:	PUNCT
easat-11220	308	14	10.55214/2576	10.55214/2576	NUM
easat-11220	308	15	-	-	SYM
easat-11220	308	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	309	1	©	©	PROPN
easat-11220	309	2	2025	2025	NUM
easat-11220	309	3	by	by	ADP
easat-11220	309	4	the	the	DET
easat-11220	309	5	authors	author	NOUN
easat-11220	309	6	;	;	PUNCT
easat-11220	309	7	licensee	licensee	PROPN
easat-11220	309	8	learning	learning	NOUN
easat-11220	309	9	gate	gate	NOUN
easat-11220	310	1	[	[	X
easat-11220	310	2	4	4	NUM
easat-11220	310	3	]	]	X
easat-11220	310	4	y.	y.	PROPN
easat-11220	310	5	zhao	zhao	PROPN
easat-11220	310	6	,	,	PUNCT
easat-11220	310	7	x.	x.	PROPN
easat-11220	310	8	zhu	zhu	PROPN
easat-11220	310	9	,	,	PUNCT
easat-11220	310	10	y.	y.	PROPN
easat-11220	310	11	hou	hou	PROPN
easat-11220	310	12	,	,	PUNCT
easat-11220	310	13	y.	y.	PROPN
easat-11220	310	14	pan	pan	PROPN
easat-11220	310	15	,	,	PUNCT
easat-11220	310	16	l.	l.	PROPN
easat-11220	310	17	shi	shi	PROPN
easat-11220	310	18	,	,	PUNCT
easat-11220	310	19	and	and	CCONJ
easat-11220	310	20	x.	x.	PROPN
easat-11220	310	21	li	li	PROPN
easat-11220	310	22	,	,	PUNCT
easat-11220	310	23	"	"	PUNCT
easat-11220	310	24	effects	effect	NOUN
easat-11220	310	25	of	of	ADP
easat-11220	310	26	harvest	harvest	NOUN
easat-11220	310	27	maturity	maturity	NOUN
easat-11220	310	28	stage	stage	NOUN
easat-11220	310	29	on	on	ADP
easat-11220	310	30	postharvest	postharvest	ADJ
easat-11220	310	31	quality	quality	NOUN
easat-11220	310	32	of	of	ADP
easat-11220	310	33	winter	winter	NOUN
easat-11220	310	34	jujube	jujube	NOUN
easat-11220	310	35	(	(	PUNCT
easat-11220	310	36	zizyphus	zizyphus	PROPN
easat-11220	310	37	jujuba	jujuba	PROPN
easat-11220	310	38	mill	mill	PROPN
easat-11220	310	39	.	.	PUNCT
easat-11220	311	1	cv	cv	PROPN
easat-11220	311	2	.	.	PROPN
easat-11220	311	3	dongzao	dongzao	PROPN
easat-11220	311	4	)	)	PUNCT
easat-11220	311	5	fruit	fruit	NOUN
easat-11220	311	6	during	during	ADP
easat-11220	311	7	cold	cold	ADJ
easat-11220	311	8	storage	storage	NOUN
easat-11220	311	9	,	,	PUNCT
easat-11220	311	10	"	"	PUNCT
easat-11220	311	11	scientia	scientia	PROPN
easat-11220	311	12	horticulturae	horticulturae	PROPN
easat-11220	311	13	,	,	PUNCT
easat-11220	311	14	vol	vol	NOUN
easat-11220	311	15	.	.	PROPN
easat-11220	311	16	277	277	NUM
easat-11220	311	17	,	,	PUNCT
easat-11220	311	18	p.	p.	NOUN
easat-11220	311	19	109778	109778	NUM
easat-11220	311	20	,	,	PUNCT
easat-11220	311	21	2021	2021	NUM
easat-11220	311	22	.	.	PUNCT
easat-11220	312	1	https://doi.org/10.1016/j.scienta.2020.109778	https://doi.org/10.1016/j.scienta.2020.109778	PROPN
easat-11220	312	2	[	[	X
easat-11220	312	3	5	5	NUM
easat-11220	312	4	]	]	X
easat-11220	312	5	r.	r.	PROPN
easat-11220	312	6	lufu	lufu	PROPN
easat-11220	312	7	,	,	PUNCT
easat-11220	312	8	a.	a.	PROPN
easat-11220	312	9	ambaw	ambaw	PROPN
easat-11220	312	10	,	,	PUNCT
easat-11220	312	11	and	and	CCONJ
easat-11220	312	12	u.	u.	PROPN
easat-11220	312	13	l.	l.	PROPN
easat-11220	312	14	opara	opara	PROPN
easat-11220	312	15	,	,	PUNCT
easat-11220	312	16	"	"	PUNCT
easat-11220	312	17	water	water	NOUN
easat-11220	312	18	loss	loss	NOUN
easat-11220	312	19	of	of	ADP
easat-11220	312	20	fresh	fresh	ADJ
easat-11220	312	21	fruit	fruit	NOUN
easat-11220	312	22	:	:	PUNCT
easat-11220	312	23	influencing	influence	VERB
easat-11220	312	24	pre	pre	NOUN
easat-11220	312	25	-	-	ADJ
easat-11220	312	26	harvest	harvest	ADJ
easat-11220	312	27	,	,	PUNCT
easat-11220	312	28	harvest	harvest	NOUN
easat-11220	312	29	and	and	CCONJ
easat-11220	312	30	postharvest	postharvest	ADJ
easat-11220	312	31	factors	factor	NOUN
easat-11220	312	32	,	,	PUNCT
easat-11220	312	33	"	"	PUNCT
easat-11220	312	34	scientia	scientia	PROPN
easat-11220	312	35	horticulturae	horticulturae	PROPN
easat-11220	312	36	,	,	PUNCT
easat-11220	312	37	vol	vol	NOUN
easat-11220	312	38	.	.	PROPN
easat-11220	312	39	272	272	NUM
easat-11220	312	40	,	,	PUNCT
easat-11220	312	41	p.	p.	NOUN
easat-11220	312	42	109519	109519	NUM
easat-11220	312	43	,	,	PUNCT
easat-11220	312	44	2020	2020	NUM
easat-11220	312	45	.	.	PUNCT
easat-11220	313	1	https://doi.org/10.1016/j.scienta.2020.109519	https://doi.org/10.1016/j.scienta.2020.109519	ADJ
easat-11220	314	1	[	[	X
easat-11220	314	2	6	6	NUM
easat-11220	314	3	]	]	PUNCT
easat-11220	314	4	t.	t.	NOUN
easat-11220	314	5	rhebergen	rhebergen	PROPN
easat-11220	314	6	et	et	PROPN
easat-11220	314	7	al	al	PROPN
easat-11220	314	8	.	.	PROPN
easat-11220	314	9	,	,	PUNCT
easat-11220	314	10	"	"	PUNCT
easat-11220	314	11	closing	close	VERB
easat-11220	314	12	yield	yield	NOUN
easat-11220	314	13	gaps	gap	NOUN
easat-11220	314	14	in	in	ADP
easat-11220	314	15	oil	oil	NOUN
easat-11220	314	16	palm	palm	NOUN
easat-11220	314	17	production	production	NOUN
easat-11220	314	18	systems	system	NOUN
easat-11220	314	19	in	in	ADP
easat-11220	314	20	ghana	ghana	PROPN
easat-11220	314	21	through	through	ADP
easat-11220	314	22	best	good	ADJ
easat-11220	314	23	management	management	NOUN
easat-11220	314	24	practices	practice	NOUN
easat-11220	314	25	,	,	PUNCT
easat-11220	314	26	"	"	PUNCT
easat-11220	314	27	european	european	ADJ
easat-11220	314	28	journal	journal	PROPN
easat-11220	314	29	of	of	ADP
easat-11220	314	30	agronomy	agronomy	NOUN
easat-11220	314	31	,	,	PUNCT
easat-11220	314	32	vol	vol	NOUN
easat-11220	314	33	.	.	PROPN
easat-11220	314	34	115	115	NUM
easat-11220	314	35	,	,	PUNCT
easat-11220	314	36	p.	p.	NOUN
easat-11220	314	37	126011	126011	NUM
easat-11220	314	38	,	,	PUNCT
easat-11220	314	39	2020/04/01/	2020/04/01/	NUM
easat-11220	314	40	2020	2020	NUM
easat-11220	314	41	.	.	PUNCT
easat-11220	315	1	https://doi.org/10.1016/j.eja.2020.126011	https://doi.org/10.1016/j.eja.2020.126011	PROPN
easat-11220	315	2	[	[	X
easat-11220	315	3	7	7	X
easat-11220	315	4	]	]	PUNCT
easat-11220	315	5	f.	f.	PROPN
easat-11220	315	6	n.	n.	PROPN
easat-11220	315	7	maluin	maluin	PROPN
easat-11220	315	8	,	,	PUNCT
easat-11220	315	9	m.	m.	NOUN
easat-11220	315	10	z.	z.	PROPN
easat-11220	315	11	hussein	hussein	PROPN
easat-11220	315	12	,	,	PUNCT
easat-11220	315	13	and	and	CCONJ
easat-11220	315	14	a.	a.	PROPN
easat-11220	315	15	s.	s.	PROPN
easat-11220	315	16	idris	idris	PROPN
easat-11220	315	17	,	,	PUNCT
easat-11220	315	18	"	"	PUNCT
easat-11220	315	19	an	an	DET
easat-11220	315	20	overview	overview	NOUN
easat-11220	315	21	of	of	ADP
easat-11220	315	22	the	the	DET
easat-11220	315	23	oil	oil	NOUN
easat-11220	315	24	palm	palm	NOUN
easat-11220	315	25	industry	industry	NOUN
easat-11220	315	26	:	:	PUNCT
easat-11220	315	27	challenges	challenge	NOUN
easat-11220	315	28	and	and	CCONJ
easat-11220	315	29	some	some	DET
easat-11220	315	30	emerging	emerge	VERB
easat-11220	315	31	opportunities	opportunity	NOUN
easat-11220	315	32	for	for	ADP
easat-11220	315	33	nanotechnology	nanotechnology	NOUN
easat-11220	315	34	development	development	NOUN
easat-11220	315	35	,	,	PUNCT
easat-11220	315	36	"	"	PUNCT
easat-11220	315	37	agronomy	agronomy	NOUN
easat-11220	315	38	,	,	PUNCT
easat-11220	315	39	vol	vol	NOUN
easat-11220	315	40	.	.	PROPN
easat-11220	315	41	10	10	NUM
easat-11220	315	42	,	,	PUNCT
easat-11220	315	43	no	no	INTJ
easat-11220	315	44	.	.	NOUN
easat-11220	315	45	3	3	NUM
easat-11220	315	46	,	,	PUNCT
easat-11220	315	47	p.	p.	NOUN
easat-11220	315	48	356	356	NUM
easat-11220	315	49	,	,	PUNCT
easat-11220	315	50	2020	2020	NUM
easat-11220	315	51	.	.	PUNCT
easat-11220	315	52	https://doi.org/10.3390/agronomy10030356	https://doi.org/10.3390/agronomy10030356	NOUN
easat-11220	316	1	[	[	X
easat-11220	316	2	8	8	NUM
easat-11220	316	3	]	]	PUNCT
easat-11220	316	4	r.	r.	PROPN
easat-11220	316	5	sinambela	sinambela	PROPN
easat-11220	316	6	,	,	PUNCT
easat-11220	316	7	t.	t.	PROPN
easat-11220	316	8	mandang	mandang	PROPN
easat-11220	316	9	,	,	PUNCT
easat-11220	316	10	i.	i.	PROPN
easat-11220	316	11	d.	d.	PROPN
easat-11220	316	12	m.	m.	PROPN
easat-11220	316	13	subrata	subrata	PROPN
easat-11220	316	14	,	,	PUNCT
easat-11220	316	15	and	and	CCONJ
easat-11220	316	16	w.	w.	PROPN
easat-11220	316	17	hermawan	hermawan	PROPN
easat-11220	316	18	,	,	PUNCT
easat-11220	316	19	"	"	PUNCT
easat-11220	316	20	application	application	NOUN
easat-11220	316	21	of	of	ADP
easat-11220	316	22	an	an	DET
easat-11220	316	23	inductive	inductive	ADJ
easat-11220	316	24	sensor	sensor	NOUN
easat-11220	316	25	system	system	NOUN
easat-11220	316	26	for	for	ADP
easat-11220	316	27	identifying	identify	VERB
easat-11220	316	28	ripeness	ripeness	NOUN
easat-11220	316	29	and	and	CCONJ
easat-11220	316	30	forecasting	forecasting	NOUN
easat-11220	316	31	harvest	harvest	NOUN
easat-11220	316	32	time	time	NOUN
easat-11220	316	33	of	of	ADP
easat-11220	316	34	oil	oil	NOUN
easat-11220	316	35	palm	palm	NOUN
easat-11220	316	36	,	,	PUNCT
easat-11220	316	37	"	"	PUNCT
easat-11220	316	38	scientia	scientia	PROPN
easat-11220	316	39	horticulturae	horticulturae	PROPN
easat-11220	316	40	,	,	PUNCT
easat-11220	316	41	vol	vol	NOUN
easat-11220	316	42	.	.	PROPN
easat-11220	316	43	265	265	NUM
easat-11220	316	44	,	,	PUNCT
easat-11220	316	45	p.	p.	NOUN
easat-11220	316	46	109231	109231	NUM
easat-11220	316	47	,	,	PUNCT
easat-11220	316	48	2020	2020	NUM
easat-11220	316	49	.	.	PUNCT
easat-11220	317	1	https://doi.org/10.1016/j.scienta.2020.109231	https://doi.org/10.1016/j.scienta.2020.109231	ADJ
easat-11220	317	2	[	[	X
easat-11220	317	3	9	9	NUM
easat-11220	317	4	]	]	PUNCT
easat-11220	317	5	j.	j.	PROPN
easat-11220	317	6	w.	w.	PROPN
easat-11220	317	7	lai	lai	PROPN
easat-11220	317	8	,	,	PUNCT
easat-11220	317	9	h.	h.	PROPN
easat-11220	317	10	r.	r.	PROPN
easat-11220	317	11	ramli	ramli	PROPN
easat-11220	317	12	,	,	PUNCT
easat-11220	317	13	l.	l.	PROPN
easat-11220	317	14	i.	i.	PROPN
easat-11220	317	15	ismail	ismail	PROPN
easat-11220	317	16	,	,	PUNCT
easat-11220	317	17	and	and	CCONJ
easat-11220	317	18	w.	w.	PROPN
easat-11220	317	19	z.	z.	PROPN
easat-11220	317	20	wan	wan	PROPN
easat-11220	317	21	hasan	hasan	PROPN
easat-11220	317	22	,	,	PUNCT
easat-11220	317	23	"	"	PUNCT
easat-11220	317	24	oil	oil	NOUN
easat-11220	317	25	palm	palm	NOUN
easat-11220	317	26	fresh	fresh	ADJ
easat-11220	317	27	fruit	fruit	NOUN
easat-11220	317	28	bunch	bunch	NOUN
easat-11220	317	29	ripeness	ripeness	NOUN
easat-11220	317	30	detection	detection	NOUN
easat-11220	317	31	methods	method	NOUN
easat-11220	317	32	:	:	PUNCT
easat-11220	317	33	a	a	DET
easat-11220	317	34	systematic	systematic	ADJ
easat-11220	317	35	review	review	NOUN
easat-11220	317	36	,	,	PUNCT
easat-11220	317	37	"	"	PUNCT
easat-11220	317	38	agriculture	agriculture	NOUN
easat-11220	317	39	,	,	PUNCT
easat-11220	317	40	vol	vol	NOUN
easat-11220	317	41	.	.	PROPN
easat-11220	317	42	13	13	NUM
easat-11220	317	43	,	,	PUNCT
easat-11220	317	44	no	no	INTJ
easat-11220	317	45	.	.	NOUN
easat-11220	317	46	1	1	NUM
easat-11220	317	47	,	,	PUNCT
easat-11220	317	48	p.	p.	NOUN
easat-11220	317	49	156	156	NUM
easat-11220	317	50	,	,	PUNCT
easat-11220	317	51	2023	2023	NUM
easat-11220	317	52	.	.	PUNCT
easat-11220	318	1	https://doi.org/10.3390/agriculture13010156	https://doi.org/10.3390/agriculture13010156	PROPN
easat-11220	318	2	[	[	X
easat-11220	318	3	10	10	NUM
easat-11220	318	4	]	]	X
easat-11220	318	5	h.	h.	PROPN
easat-11220	318	6	a.	a.	PROPN
easat-11220	318	7	hasibuan	hasibuan	PROPN
easat-11220	318	8	,	,	PUNCT
easat-11220	318	9	"	"	PUNCT
easat-11220	318	10	determination	determination	NOUN
easat-11220	318	11	of	of	ADP
easat-11220	318	12	yield	yield	NOUN
easat-11220	318	13	,	,	PUNCT
easat-11220	318	14	quality	quality	NOUN
easat-11220	318	15	and	and	CCONJ
easat-11220	318	16	chemical	chemical	NOUN
easat-11220	318	17	composition	composition	NOUN
easat-11220	318	18	of	of	ADP
easat-11220	318	19	palm	palm	NOUN
easat-11220	318	20	oil	oil	NOUN
easat-11220	318	21	and	and	CCONJ
easat-11220	318	22	palm	palm	NOUN
easat-11220	318	23	kernel	kernel	PROPN
easat-11220	318	24	oil	oil	NOUN
easat-11220	318	25	from	from	ADP
easat-11220	318	26	fresh	fresh	ADJ
easat-11220	318	27	fruit	fruit	NOUN
easat-11220	318	28	bunches	bunche	NOUN
easat-11220	318	29	of	of	ADP
easat-11220	318	30	varying	vary	VERB
easat-11220	318	31	maturity	maturity	NOUN
easat-11220	318	32	as	as	ADP
easat-11220	318	33	a	a	DET
easat-11220	318	34	basis	basis	NOUN
easat-11220	318	35	for	for	ADP
easat-11220	318	36	determining	determine	VERB
easat-11220	318	37	harvest	harvest	NOUN
easat-11220	318	38	maturity	maturity	NOUN
easat-11220	318	39	standards	standard	NOUN
easat-11220	318	40	,	,	PUNCT
easat-11220	318	41	"	"	PUNCT
easat-11220	318	42	jurnal	jurnal	ADJ
easat-11220	318	43	penelitian	penelitian	PROPN
easat-11220	318	44	kelapa	kelapa	PROPN
easat-11220	318	45	sawit	sawit	PROPN
easat-11220	318	46	,	,	PUNCT
easat-11220	318	47	vol	vol	NOUN
easat-11220	318	48	.	.	PROPN
easat-11220	318	49	28	28	NUM
easat-11220	318	50	,	,	PUNCT
easat-11220	318	51	no	no	INTJ
easat-11220	318	52	.	.	NOUN
easat-11220	318	53	3	3	NUM
easat-11220	318	54	,	,	PUNCT
easat-11220	318	55	pp	pp	ADJ
easat-11220	318	56	.	.	PUNCT
easat-11220	319	1	123	123	NUM
easat-11220	319	2	-	-	SYM
easat-11220	319	3	132	132	NUM
easat-11220	319	4	,	,	PUNCT
easat-11220	319	5	2020	2020	NUM
easat-11220	319	6	.	.	PUNCT
easat-11220	320	1	https://doi.org/10.22302/iopri.jur.jpks.v28i3.106	https://doi.org/10.22302/iopri.jur.jpks.v28i3.106	NOUN
easat-11220	321	1	[	[	X
easat-11220	321	2	11	11	NUM
easat-11220	321	3	]	]	PUNCT
easat-11220	321	4	k.	k.	NOUN
easat-11220	321	5	ragil	ragil	PROPN
easat-11220	321	6	and	and	CCONJ
easat-11220	321	7	nurahman	nurahman	ADJ
easat-11220	321	8	,	,	PUNCT
easat-11220	321	9	"	"	PUNCT
easat-11220	321	10	classification	classification	NOUN
easat-11220	321	11	of	of	ADP
easat-11220	321	12	palm	palm	NOUN
easat-11220	321	13	fruit	fruit	NOUN
easat-11220	321	14	maturity	maturity	NOUN
easat-11220	321	15	level	level	NOUN
easat-11220	321	16	based	base	VERB
easat-11220	321	17	on	on	ADP
easat-11220	321	18	rgb	rgb	PROPN
easat-11220	321	19	and	and	CCONJ
easat-11220	321	20	glcm	glcm	PROPN
easat-11220	321	21	feature	feature	NOUN
easat-11220	321	22	extraction	extraction	NOUN
easat-11220	321	23	using	use	VERB
easat-11220	321	24	the	the	DET
easat-11220	321	25	k	k	PROPN
easat-11220	321	26	-	-	PUNCT
easat-11220	321	27	nn	nn	ADJ
easat-11220	321	28	algorithm	algorithm	NOUN
easat-11220	321	29	,	,	PUNCT
easat-11220	321	30	"	"	PUNCT
easat-11220	321	31	jurnal	jurnal	ADJ
easat-11220	321	32	ilmiah	ilmiah	PROPN
easat-11220	321	33	komputasi	komputasi	PROPN
easat-11220	321	34	,	,	PUNCT
easat-11220	321	35	vol	vol	NOUN
easat-11220	321	36	.	.	PROPN
easat-11220	321	37	22	22	NUM
easat-11220	321	38	,	,	PUNCT
easat-11220	321	39	no	no	INTJ
easat-11220	321	40	.	.	NOUN
easat-11220	321	41	4	4	NUM
easat-11220	321	42	,	,	PUNCT
easat-11220	321	43	pp	pp	ADJ
easat-11220	321	44	.	.	PUNCT
easat-11220	322	1	457	457	NUM
easat-11220	322	2	-	-	SYM
easat-11220	322	3	466	466	NUM
easat-11220	322	4	,	,	PUNCT
easat-11220	322	5	2024	2024	NUM
easat-11220	322	6	.	.	PUNCT
easat-11220	323	1	https://doi.org/10.32409/jikstik.22.4.3402	https://doi.org/10.32409/jikstik.22.4.3402	X
easat-11220	324	1	[	[	X
easat-11220	324	2	12	12	NUM
easat-11220	324	3	]	]	PUNCT
easat-11220	325	1	k.	k.	PROPN
easat-11220	325	2	kipli	kipli	PROPN
easat-11220	325	3	et	et	PROPN
easat-11220	325	4	al	al	PROPN
easat-11220	325	5	.	.	PROPN
easat-11220	325	6	,	,	PUNCT
easat-11220	325	7	"	"	PUNCT
easat-11220	325	8	deep	deep	ADJ
easat-11220	325	9	learning	learning	NOUN
easat-11220	325	10	applications	application	NOUN
easat-11220	325	11	for	for	ADP
easat-11220	325	12	oil	oil	NOUN
easat-11220	325	13	palm	palm	NOUN
easat-11220	325	14	tree	tree	NOUN
easat-11220	325	15	detection	detection	NOUN
easat-11220	325	16	and	and	CCONJ
easat-11220	325	17	counting	counting	NOUN
easat-11220	325	18	,	,	PUNCT
easat-11220	325	19	"	"	PUNCT
easat-11220	325	20	smart	smart	ADJ
easat-11220	325	21	agricultural	agricultural	ADJ
easat-11220	325	22	technology	technology	NOUN
easat-11220	325	23	,	,	PUNCT
easat-11220	325	24	vol	vol	NOUN
easat-11220	325	25	.	.	PROPN
easat-11220	325	26	5	5	NUM
easat-11220	325	27	,	,	PUNCT
easat-11220	325	28	p.	p.	NOUN
easat-11220	325	29	100241	100241	NUM
easat-11220	325	30	,	,	PUNCT
easat-11220	325	31	2023	2023	NUM
easat-11220	325	32	.	.	PUNCT
easat-11220	326	1	https://doi.org/10.1016/j.atech.2023.100241	https://doi.org/10.1016/j.atech.2023.100241	PROPN
easat-11220	326	2	[	[	X
easat-11220	326	3	13	13	NUM
easat-11220	326	4	]	]	PUNCT
easat-11220	326	5	i.	i.	PROPN
easat-11220	326	6	goodfellow	goodfellow	PROPN
easat-11220	326	7	,	,	PUNCT
easat-11220	326	8	y.	y.	PROPN
easat-11220	326	9	bengio	bengio	PROPN
easat-11220	326	10	,	,	PUNCT
easat-11220	326	11	and	and	CCONJ
easat-11220	326	12	a.	a.	NOUN
easat-11220	326	13	courville	courville	NOUN
easat-11220	326	14	,	,	PUNCT
easat-11220	326	15	deep	deep	ADJ
easat-11220	326	16	learning	learning	NOUN
easat-11220	326	17	.	.	PUNCT
easat-11220	327	1	cambridge	cambridge	PROPN
easat-11220	327	2	,	,	PUNCT
easat-11220	327	3	ma	ma	PROPN
easat-11220	327	4	:	:	PUNCT
easat-11220	327	5	mit	mit	PROPN
easat-11220	327	6	press	press	NOUN
easat-11220	327	7	,	,	PUNCT
easat-11220	327	8	2016	2016	NUM
easat-11220	327	9	.	.	PUNCT
easat-11220	328	1	[	[	X
easat-11220	328	2	14	14	NUM
easat-11220	328	3	]	]	X
easat-11220	328	4	d.	d.	PROPN
easat-11220	328	5	w.	w.	PROPN
easat-11220	328	6	prabowo	prabowo	PROPN
easat-11220	328	7	,	,	PUNCT
easat-11220	328	8	h.	h.	PROPN
easat-11220	328	9	a.	a.	NOUN
easat-11220	328	10	nugroho	nugroho	PROPN
easat-11220	328	11	,	,	PUNCT
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easat-11220	328	15	,	,	PUNCT
easat-11220	328	16	and	and	CCONJ
easat-11220	328	17	j.	j.	PROPN
easat-11220	328	18	debayle	debayle	PROPN
easat-11220	328	19	,	,	PUNCT
easat-11220	328	20	"	"	PUNCT
easat-11220	328	21	a	a	DET
easat-11220	328	22	systematic	systematic	ADJ
easat-11220	328	23	literature	literature	NOUN
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easat-11220	328	26	emotion	emotion	NOUN
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easat-11220	328	29	eeg	eeg	NOUN
easat-11220	328	30	signals	signal	NOUN
easat-11220	328	31	,	,	PUNCT
easat-11220	328	32	"	"	PUNCT
easat-11220	328	33	cognitive	cognitive	ADJ
easat-11220	328	34	systems	system	NOUN
easat-11220	328	35	research	research	NOUN
easat-11220	328	36	,	,	PUNCT
easat-11220	328	37	vol	vol	NOUN
easat-11220	328	38	.	.	PROPN
easat-11220	328	39	82	82	NUM
easat-11220	328	40	,	,	PUNCT
easat-11220	328	41	p.	p.	NOUN
easat-11220	328	42	101152	101152	NUM
easat-11220	328	43	,	,	PUNCT
easat-11220	328	44	2023	2023	NUM
easat-11220	328	45	.	.	PUNCT
easat-11220	329	1	https://doi.org/10.1016/j.cogsys.2023.101152	https://doi.org/10.1016/j.cogsys.2023.101152	PROPN
easat-11220	329	2	[	[	X
easat-11220	329	3	15	15	NUM
easat-11220	329	4	]	]	X
easat-11220	329	5	l.	l.	PROPN
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easat-11220	329	7	et	et	PROPN
easat-11220	329	8	al	al	PROPN
easat-11220	329	9	.	.	PROPN
easat-11220	329	10	,	,	PUNCT
easat-11220	329	11	"	"	PUNCT
easat-11220	329	12	review	review	NOUN
easat-11220	329	13	of	of	ADP
easat-11220	329	14	deep	deep	ADJ
easat-11220	329	15	learning	learning	NOUN
easat-11220	329	16	:	:	PUNCT
easat-11220	329	17	concepts	concept	NOUN
easat-11220	329	18	,	,	PUNCT
easat-11220	329	19	cnn	cnn	PROPN
easat-11220	329	20	architectures	architecture	NOUN
easat-11220	329	21	,	,	PUNCT
easat-11220	329	22	challenges	challenge	NOUN
easat-11220	329	23	,	,	PUNCT
easat-11220	329	24	applications	application	NOUN
easat-11220	329	25	,	,	PUNCT
easat-11220	329	26	future	future	ADJ
easat-11220	329	27	directions	direction	NOUN
easat-11220	329	28	,	,	PUNCT
easat-11220	329	29	"	"	PUNCT
easat-11220	329	30	journal	journal	NOUN
easat-11220	329	31	of	of	ADP
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easat-11220	329	33	data	datum	NOUN
easat-11220	329	34	,	,	PUNCT
easat-11220	329	35	vol	vol	NOUN
easat-11220	329	36	.	.	PROPN
easat-11220	329	37	8	8	NUM
easat-11220	329	38	,	,	PUNCT
easat-11220	329	39	p.	p.	NOUN
easat-11220	329	40	53	53	NUM
easat-11220	329	41	,	,	PUNCT
easat-11220	329	42	2021	2021	NUM
easat-11220	329	43	.	.	PUNCT
easat-11220	330	1	https://doi.org/10.1186/s40537-021-00444-8	https://doi.org/10.1186/s40537-021-00444-8	NOUN
easat-11220	331	1	[	[	X
easat-11220	331	2	16	16	NUM
easat-11220	331	3	]	]	X
easat-11220	331	4	d.	d.	PROPN
easat-11220	331	5	nasien	nasien	PROPN
easat-11220	331	6	,	,	PUNCT
easat-11220	331	7	m.	m.	NOUN
easat-11220	331	8	h.	h.	PROPN
easat-11220	331	9	adiya	adiya	PROPN
easat-11220	331	10	,	,	PUNCT
easat-11220	331	11	i.	i.	PROPN
easat-11220	331	12	afrianty	afrianty	PROPN
easat-11220	331	13	,	,	PUNCT
easat-11220	331	14	m.	m.	NOUN
easat-11220	331	15	farkhan	farkhan	NOUN
easat-11220	331	16	,	,	PUNCT
easat-11220	331	17	and	and	CCONJ
easat-11220	331	18	r.	r.	PROPN
easat-11220	331	19	j.	j.	PROPN
easat-11220	331	20	h.	h.	PROPN
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easat-11220	331	22	-	-	PUNCT
easat-11220	331	23	butar	butar	NOUN
easat-11220	331	24	,	,	PUNCT
easat-11220	331	25	"	"	PUNCT
easat-11220	331	26	convolutional	convolutional	ADJ
easat-11220	331	27	neural	neural	ADJ
easat-11220	331	28	network	network	NOUN
easat-11220	331	29	model	model	NOUN
easat-11220	331	30	for	for	ADP
easat-11220	331	31	sex	sex	NOUN
easat-11220	331	32	determination	determination	NOUN
easat-11220	331	33	using	use	VERB
easat-11220	331	34	femur	femur	ADJ
easat-11220	331	35	bones	bone	NOUN
easat-11220	331	36	,	,	PUNCT
easat-11220	331	37	"	"	PUNCT
easat-11220	331	38	joiv	joiv	PROPN
easat-11220	331	39	:	:	PUNCT
easat-11220	331	40	international	international	ADJ
easat-11220	331	41	journal	journal	NOUN
easat-11220	331	42	on	on	ADP
easat-11220	331	43	informatics	informatic	NOUN
easat-11220	331	44	visualization	visualization	NOUN
easat-11220	331	45	,	,	PUNCT
easat-11220	331	46	vol	vol	NOUN
easat-11220	331	47	.	.	PROPN
easat-11220	331	48	7	7	NUM
easat-11220	331	49	,	,	PUNCT
easat-11220	331	50	no	no	INTJ
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easat-11220	331	52	4	4	NUM
easat-11220	331	53	,	,	PUNCT
easat-11220	331	54	pp	pp	ADJ
easat-11220	331	55	.	.	PUNCT
easat-11220	331	56	25062512	25062512	NUM
easat-11220	331	57	,	,	PUNCT
easat-11220	331	58	2023	2023	NUM
easat-11220	331	59	.	.	PUNCT
easat-11220	332	1	http://dx.doi.org/10.62527/joiv.7.4.1711	http://dx.doi.org/10.62527/joiv.7.4.1711	VERB
easat-11220	332	2	[	[	PRON
easat-11220	332	3	17	17	NUM
easat-11220	332	4	]	]	PUNCT
easat-11220	332	5	a.	a.	PROPN
easat-11220	332	6	e.	e.	PROPN
easat-11220	332	7	minarno	minarno	PROPN
easat-11220	332	8	,	,	PUNCT
easat-11220	332	9	m.	m.	NOUN
easat-11220	332	10	fadhlan	fadhlan	PROPN
easat-11220	332	11	,	,	PUNCT
easat-11220	332	12	y.	y.	PROPN
easat-11220	332	13	munarko	munarko	PROPN
easat-11220	332	14	,	,	PUNCT
easat-11220	332	15	and	and	CCONJ
easat-11220	332	16	d.	d.	PROPN
easat-11220	332	17	r.	r.	PROPN
easat-11220	332	18	chandranegara	chandranegara	PROPN
easat-11220	332	19	,	,	PUNCT
easat-11220	332	20	"	"	PUNCT
easat-11220	332	21	classification	classification	NOUN
easat-11220	332	22	of	of	ADP
easat-11220	332	23	dermoscopic	dermoscopic	ADJ
easat-11220	332	24	images	image	NOUN
easat-11220	332	25	using	use	VERB
easat-11220	332	26	cnn	cnn	PROPN
easat-11220	332	27	-	-	PUNCT
easat-11220	332	28	svm	svm	PROPN
easat-11220	332	29	,	,	PUNCT
easat-11220	332	30	"	"	PUNCT
easat-11220	332	31	joiv	joiv	PROPN
easat-11220	332	32	:	:	PUNCT
easat-11220	332	33	international	international	ADJ
easat-11220	332	34	journal	journal	NOUN
easat-11220	332	35	on	on	ADP
easat-11220	332	36	informatics	informatic	NOUN
easat-11220	332	37	visualization	visualization	NOUN
easat-11220	332	38	,	,	PUNCT
easat-11220	332	39	vol	vol	NOUN
easat-11220	332	40	.	.	PROPN
easat-11220	332	41	8	8	NUM
easat-11220	332	42	,	,	PUNCT
easat-11220	332	43	no	no	INTJ
easat-11220	332	44	.	.	NOUN
easat-11220	332	45	2	2	NUM
easat-11220	332	46	,	,	PUNCT
easat-11220	332	47	pp	pp	ADJ
easat-11220	332	48	.	.	PUNCT
easat-11220	333	1	606	606	NUM
easat-11220	333	2	-	-	NUM
easat-11220	333	3	612	612	NUM
easat-11220	333	4	,	,	PUNCT
easat-11220	333	5	2024	2024	NUM
easat-11220	333	6	.	.	PUNCT
easat-11220	334	1	http://dx.doi.org/10.62527/joiv.8.2.2153	http://dx.doi.org/10.62527/joiv.8.2.2153	VERB
easat-11220	334	2	[	[	X
easat-11220	334	3	18	18	NUM
easat-11220	334	4	]	]	PUNCT
easat-11220	334	5	x.	x.	NOUN
easat-11220	334	6	zhao	zhao	PROPN
easat-11220	334	7	,	,	PUNCT
easat-11220	334	8	l.	l.	PROPN
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easat-11220	334	10	,	,	PUNCT
easat-11220	334	11	y.	y.	PROPN
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easat-11220	334	13	,	,	PUNCT
easat-11220	334	14	x.	x.	PROPN
easat-11220	334	15	han	han	PROPN
easat-11220	334	16	,	,	PUNCT
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easat-11220	334	20	and	and	CCONJ
easat-11220	334	21	m.	m.	PROPN
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easat-11220	334	23	,	,	PUNCT
easat-11220	334	24	"	"	PUNCT
easat-11220	334	25	a	a	DET
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easat-11220	334	27	of	of	ADP
easat-11220	334	28	convolutional	convolutional	ADJ
easat-11220	334	29	neural	neural	ADJ
easat-11220	334	30	networks	network	NOUN
easat-11220	334	31	in	in	ADP
easat-11220	334	32	computer	computer	NOUN
easat-11220	334	33	vision	vision	NOUN
easat-11220	334	34	,	,	PUNCT
easat-11220	334	35	"	"	PUNCT
easat-11220	334	36	artificial	artificial	ADJ
easat-11220	334	37	intelligence	intelligence	NOUN
easat-11220	334	38	review	review	NOUN
easat-11220	334	39	,	,	PUNCT
easat-11220	334	40	vol	vol	NOUN
easat-11220	334	41	.	.	PROPN
easat-11220	334	42	57	57	NUM
easat-11220	334	43	,	,	PUNCT
easat-11220	334	44	p.	p.	NOUN
easat-11220	334	45	99	99	NUM
easat-11220	334	46	,	,	PUNCT
easat-11220	334	47	2024	2024	NUM
easat-11220	334	48	.	.	PUNCT
easat-11220	335	1	https://doi.org/10.1007/s10462-024-10721-6	https://doi.org/10.1007/s10462-024-10721-6	PRON
easat-11220	336	1	[	[	X
easat-11220	336	2	19	19	NUM
easat-11220	336	3	]	]	PUNCT
easat-11220	336	4	a.	a.	NOUN
easat-11220	336	5	taner	taner	PROPN
easat-11220	336	6	,	,	PUNCT
easat-11220	336	7	y.	y.	PROPN
easat-11220	336	8	b.	b.	PROPN
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easat-11220	336	10	,	,	PUNCT
easat-11220	336	11	and	and	CCONJ
easat-11220	336	12	h.	h.	PROPN
easat-11220	336	13	duran	duran	PROPN
easat-11220	336	14	,	,	PUNCT
easat-11220	336	15	"	"	PUNCT
easat-11220	336	16	performance	performance	NOUN
easat-11220	336	17	analysis	analysis	NOUN
easat-11220	336	18	of	of	ADP
easat-11220	336	19	deep	deep	ADJ
easat-11220	336	20	learning	learn	VERB
easat-11220	336	21	cnn	cnn	PROPN
easat-11220	336	22	models	model	NOUN
easat-11220	336	23	for	for	ADP
easat-11220	336	24	variety	variety	NOUN
easat-11220	336	25	classification	classification	NOUN
easat-11220	336	26	in	in	ADP
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easat-11220	336	29	"	"	PUNCT
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easat-11220	336	32	vol	vol	NOUN
easat-11220	336	33	.	.	PROPN
easat-11220	336	34	13	13	NUM
easat-11220	336	35	,	,	PUNCT
easat-11220	336	36	no	no	INTJ
easat-11220	336	37	.	.	NOUN
easat-11220	336	38	12	12	NUM
easat-11220	336	39	,	,	PUNCT
easat-11220	336	40	p.	p.	NOUN
easat-11220	336	41	6527	6527	NUM
easat-11220	336	42	,	,	PUNCT
easat-11220	336	43	2021	2021	NUM
easat-11220	336	44	.	.	PUNCT
easat-11220	336	45	https://doi.org/10.3390/su13126527	https://doi.org/10.3390/su13126527	PUNCT
easat-11220	337	1	[	[	X
easat-11220	337	2	20	20	NUM
easat-11220	337	3	]	]	PUNCT
easat-11220	337	4	a.	a.	NOUN
easat-11220	337	5	a.	a.	PROPN
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easat-11220	337	9	.	.	PROPN
easat-11220	337	10	,	,	PUNCT
easat-11220	337	11	"	"	PUNCT
easat-11220	337	12	an	an	DET
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easat-11220	337	15	model	model	NOUN
easat-11220	337	16	for	for	ADP
easat-11220	337	17	covid‐19	covid‐19	PROPN
easat-11220	337	18	disease	disease	NOUN
easat-11220	337	19	detection	detection	NOUN
easat-11220	337	20	based	base	VERB
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easat-11220	337	22	x‐ray	x‐ray	PROPN
easat-11220	337	23	image	image	NOUN
easat-11220	337	24	classification	classification	NOUN
easat-11220	337	25	,	,	PUNCT
easat-11220	337	26	"	"	PUNCT
easat-11220	337	27	complexity	complexity	NOUN
easat-11220	337	28	,	,	PUNCT
easat-11220	337	29	vol	vol	NOUN
easat-11220	337	30	.	.	PROPN
easat-11220	337	31	2021	2021	NUM
easat-11220	337	32	,	,	PUNCT
easat-11220	337	33	no	no	INTJ
easat-11220	337	34	.	.	NOUN
easat-11220	337	35	1	1	NUM
easat-11220	337	36	,	,	PUNCT
easat-11220	337	37	p.	p.	NOUN
easat-11220	337	38	6621607	6621607	NUM
easat-11220	337	39	,	,	PUNCT
easat-11220	337	40	2021	2021	NUM
easat-11220	337	41	.	.	PUNCT
easat-11220	338	1	https://doi.org/10.1155/2021/6621607	https://doi.org/10.1155/2021/6621607	VERB
easat-11220	338	2	[	[	X
easat-11220	338	3	21	21	NUM
easat-11220	338	4	]	]	X
easat-11220	338	5	t.	t.	PROPN
easat-11220	338	6	kattenborn	kattenborn	PROPN
easat-11220	338	7	,	,	PUNCT
easat-11220	338	8	j.	j.	PROPN
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easat-11220	338	10	,	,	PUNCT
easat-11220	338	11	f.	f.	PROPN
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easat-11220	338	13	,	,	PUNCT
easat-11220	338	14	and	and	CCONJ
easat-11220	338	15	s.	s.	PROPN
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easat-11220	338	17	,	,	PUNCT
easat-11220	338	18	"	"	PUNCT
easat-11220	338	19	review	review	NOUN
easat-11220	338	20	on	on	ADP
easat-11220	338	21	convolutional	convolutional	ADJ
easat-11220	338	22	neural	neural	ADJ
easat-11220	338	23	networks	network	NOUN
easat-11220	338	24	(	(	PUNCT
easat-11220	338	25	cnn	cnn	PROPN
easat-11220	338	26	)	)	PUNCT
easat-11220	338	27	in	in	ADP
easat-11220	338	28	vegetation	vegetation	NOUN
easat-11220	338	29	remote	remote	ADJ
easat-11220	338	30	sensing	sensing	NOUN
easat-11220	338	31	,	,	PUNCT
easat-11220	338	32	"	"	PUNCT
easat-11220	338	33	isprs	isprs	NOUN
easat-11220	338	34	journal	journal	NOUN
easat-11220	338	35	of	of	ADP
easat-11220	338	36	photogrammetry	photogrammetry	NOUN
easat-11220	338	37	and	and	CCONJ
easat-11220	338	38	remote	remote	ADJ
easat-11220	338	39	sensing	sensing	NOUN
easat-11220	338	40	,	,	PUNCT
easat-11220	338	41	vol	vol	NOUN
easat-11220	338	42	.	.	PROPN
easat-11220	338	43	173	173	NUM
easat-11220	338	44	,	,	PUNCT
easat-11220	338	45	pp	pp	ADJ
easat-11220	338	46	.	.	PUNCT
easat-11220	339	1	24	24	NUM
easat-11220	339	2	-	-	SYM
easat-11220	339	3	49	49	NUM
easat-11220	339	4	,	,	PUNCT
easat-11220	339	5	2021	2021	NUM
easat-11220	339	6	.	.	PUNCT
easat-11220	340	1	https://doi.org/10.1016/j.isprsjprs.2020.12.010	https://doi.org/10.1016/j.isprsjprs.2020.12.010	PROPN
easat-11220	341	1	[	[	X
easat-11220	341	2	22	22	NUM
easat-11220	341	3	]	]	X
easat-11220	341	4	g.	g.	PROPN
easat-11220	341	5	t.	t.	PROPN
easat-11220	341	6	h.	h.	PROPN
easat-11220	341	7	tzuan	tzuan	PROPN
easat-11220	341	8	,	,	PUNCT
easat-11220	341	9	f.	f.	PROPN
easat-11220	341	10	h.	h.	PROPN
easat-11220	341	11	hashim	hashim	PROPN
easat-11220	341	12	,	,	PUNCT
easat-11220	341	13	t.	t.	PROPN
easat-11220	341	14	raj	raj	PROPN
easat-11220	341	15	,	,	PUNCT
easat-11220	341	16	a.	a.	PROPN
easat-11220	341	17	baseri	baseri	PROPN
easat-11220	341	18	huddin	huddin	PROPN
easat-11220	341	19	,	,	PUNCT
easat-11220	341	20	and	and	CCONJ
easat-11220	341	21	m.	m.	PROPN
easat-11220	341	22	s.	s.	PROPN
easat-11220	341	23	sajab	sajab	PROPN
easat-11220	341	24	,	,	PUNCT
easat-11220	341	25	"	"	PUNCT
easat-11220	341	26	oil	oil	NOUN
easat-11220	341	27	palm	palm	NOUN
easat-11220	341	28	fruits	fruit	NOUN
easat-11220	341	29	ripeness	ripeness	NOUN
easat-11220	341	30	classification	classification	NOUN
easat-11220	341	31	based	base	VERB
easat-11220	341	32	on	on	ADP
easat-11220	341	33	the	the	DET
easat-11220	341	34	characteristics	characteristic	NOUN
easat-11220	341	35	of	of	ADP
easat-11220	341	36	protein	protein	NOUN
easat-11220	341	37	,	,	PUNCT
easat-11220	341	38	lipid	lipid	NOUN
easat-11220	341	39	,	,	PUNCT
easat-11220	341	40	carotene	carotene	NOUN
easat-11220	341	41	,	,	PUNCT
easat-11220	341	42	and	and	CCONJ
easat-11220	341	43	guanine	guanine	NOUN
easat-11220	341	44	/	/	SYM
easat-11220	341	45	cytosine	cytosine	NOUN
easat-11220	341	46	from	from	ADP
easat-11220	341	47	the	the	DET
easat-11220	341	48	raman	raman	NOUN
easat-11220	341	49	spectra	spectra	NOUN
easat-11220	341	50	,	,	PUNCT
easat-11220	341	51	"	"	PUNCT
easat-11220	341	52	plants	plant	NOUN
easat-11220	341	53	,	,	PUNCT
easat-11220	341	54	vol	vol	NOUN
easat-11220	341	55	.	.	PROPN
easat-11220	341	56	11	11	NUM
easat-11220	341	57	,	,	PUNCT
easat-11220	341	58	no	no	INTJ
easat-11220	341	59	.	.	NOUN
easat-11220	341	60	15	15	NUM
easat-11220	341	61	,	,	PUNCT
easat-11220	341	62	p.	p.	NOUN
easat-11220	341	63	1936	1936	NUM
easat-11220	341	64	,	,	PUNCT
easat-11220	341	65	2022	2022	NUM
easat-11220	341	66	.	.	PUNCT
easat-11220	342	1	https://doi.org/10.3390/plants11151936	https://doi.org/10.3390/plants11151936	PROPN
easat-11220	343	1	[	[	X
easat-11220	343	2	23	23	NUM
easat-11220	343	3	]	]	X
easat-11220	343	4	c.	c.	PROPN
easat-11220	343	5	unigarro	unigarro	PROPN
easat-11220	343	6	,	,	PUNCT
easat-11220	343	7	j.	j.	PROPN
easat-11220	343	8	hernandez	hernandez	PROPN
easat-11220	343	9	,	,	PUNCT
easat-11220	343	10	and	and	CCONJ
easat-11220	343	11	h.	h.	PROPN
easat-11220	343	12	florez	florez	PROPN
easat-11220	343	13	,	,	PUNCT
easat-11220	343	14	"	"	PUNCT
easat-11220	343	15	artificial	artificial	ADJ
easat-11220	343	16	neural	neural	ADJ
easat-11220	343	17	networks	network	NOUN
easat-11220	343	18	for	for	ADP
easat-11220	343	19	image	image	NOUN
easat-11220	343	20	processing	processing	NOUN
easat-11220	343	21	in	in	ADP
easat-11220	343	22	precision	precision	NOUN
easat-11220	343	23	agriculture	agriculture	NOUN
easat-11220	343	24	:	:	PUNCT
easat-11220	343	25	a	a	DET
easat-11220	343	26	systematic	systematic	ADJ
easat-11220	343	27	literature	literature	NOUN
easat-11220	343	28	review	review	NOUN
easat-11220	343	29	on	on	ADP
easat-11220	343	30	mango	mango	NOUN
easat-11220	343	31	,	,	PUNCT
easat-11220	343	32	apple	apple	NOUN
easat-11220	343	33	,	,	PUNCT
easat-11220	343	34	lemon	lemon	NOUN
easat-11220	343	35	,	,	PUNCT
easat-11220	343	36	and	and	CCONJ
easat-11220	343	37	coffee	coffee	NOUN
easat-11220	343	38	crops	crop	NOUN
easat-11220	343	39	,	,	PUNCT
easat-11220	343	40	"	"	PUNCT
easat-11220	343	41	informatics	informatic	NOUN
easat-11220	343	42	,	,	PUNCT
easat-11220	343	43	vol	vol	NOUN
easat-11220	343	44	.	.	PROPN
easat-11220	343	45	12	12	NUM
easat-11220	343	46	,	,	PUNCT
easat-11220	343	47	no	no	INTJ
easat-11220	343	48	.	.	NOUN
easat-11220	343	49	2	2	NUM
easat-11220	343	50	,	,	PUNCT
easat-11220	343	51	p.	p.	NOUN
easat-11220	343	52	46	46	NUM
easat-11220	343	53	,	,	PUNCT
easat-11220	343	54	2025	2025	NUM
easat-11220	343	55	.	.	PUNCT
easat-11220	344	1	https://doi.org/10.3390/informatics12020046	https://doi.org/10.3390/informatics12020046	NOUN
easat-11220	345	1	[	[	X
easat-11220	345	2	24	24	NUM
easat-11220	345	3	]	]	PUNCT
easat-11220	345	4	x.	x.	NOUN
easat-11220	345	5	guo	guo	PROPN
easat-11220	345	6	et	et	PROPN
easat-11220	345	7	al	al	PROPN
easat-11220	345	8	.	.	PROPN
easat-11220	345	9	,	,	PUNCT
easat-11220	345	10	"	"	PUNCT
easat-11220	345	11	lwheatnet	lwheatnet	NOUN
easat-11220	345	12	:	:	PUNCT
easat-11220	345	13	a	a	DET
easat-11220	345	14	lightweight	lightweight	ADJ
easat-11220	345	15	convolutional	convolutional	ADJ
easat-11220	345	16	neural	neural	ADJ
easat-11220	345	17	network	network	NOUN
easat-11220	345	18	with	with	ADP
easat-11220	345	19	mixed	mixed	ADJ
easat-11220	345	20	attention	attention	NOUN
easat-11220	345	21	mechanism	mechanism	NOUN
easat-11220	345	22	for	for	ADP
easat-11220	345	23	wheat	wheat	NOUN
easat-11220	345	24	seed	seed	NOUN
easat-11220	345	25	classification	classification	NOUN
easat-11220	345	26	,	,	PUNCT
easat-11220	345	27	"	"	PUNCT
easat-11220	345	28	frontiers	frontier	NOUN
easat-11220	345	29	in	in	ADP
easat-11220	345	30	plant	plant	NOUN
easat-11220	345	31	science	science	NOUN
easat-11220	345	32	,	,	PUNCT
easat-11220	345	33	vol	vol	NOUN
easat-11220	345	34	.	.	PROPN
easat-11220	345	35	15	15	NUM
easat-11220	345	36	,	,	PUNCT
easat-11220	345	37	p.	p.	NOUN
easat-11220	345	38	1509656	1509656	NUM
easat-11220	345	39	,	,	PUNCT
easat-11220	345	40	2025	2025	NUM
easat-11220	345	41	.	.	PUNCT
easat-11220	346	1	https://doi.org/10.3389/fpls.2024.1509656	https://doi.org/10.3389/fpls.2024.1509656	PUNCT
easat-11220	347	1	[	[	X
easat-11220	347	2	25	25	NUM
easat-11220	347	3	]	]	X
easat-11220	347	4	d.	d.	PROPN
easat-11220	347	5	w.	w.	PROPN
easat-11220	347	6	prabowo	prabowo	PROPN
easat-11220	347	7	,	,	PUNCT
easat-11220	347	8	h.	h.	PROPN
easat-11220	347	9	a.	a.	NOUN
easat-11220	347	10	nugroho	nugroho	PROPN
easat-11220	347	11	,	,	PUNCT
easat-11220	347	12	n.	n.	PROPN
easat-11220	347	13	a.	a.	NOUN
easat-11220	347	14	setiawan	setiawan	PROPN
easat-11220	347	15	,	,	PUNCT
easat-11220	347	16	and	and	CCONJ
easat-11220	347	17	j.	j.	PROPN
easat-11220	347	18	debayle	debayle	PROPN
easat-11220	347	19	,	,	PUNCT
easat-11220	347	20	"	"	PUNCT
easat-11220	347	21	an	an	DET
easat-11220	347	22	advanced	advanced	ADJ
easat-11220	347	23	data	data	NOUN
easat-11220	347	24	augmentation	augmentation	NOUN
easat-11220	347	25	scheme	scheme	NOUN
easat-11220	347	26	on	on	ADP
easat-11220	347	27	limited	limited	ADJ
easat-11220	347	28	eeg	eeg	NOUN
easat-11220	347	29	signals	signal	NOUN
easat-11220	347	30	for	for	ADP
easat-11220	347	31	human	human	ADJ
easat-11220	347	32	emotion	emotion	NOUN
easat-11220	347	33	recognition	recognition	NOUN
easat-11220	347	34	,	,	PUNCT
easat-11220	347	35	"	"	PUNCT
easat-11220	347	36	in	in	ADP
easat-11220	347	37	proceeding	proceeding	NOUN
easat-11220	347	38	of	of	ADP
easat-11220	347	39	the	the	DET
easat-11220	347	40	3rd	3rd	ADJ
easat-11220	347	41	international	international	ADJ
easat-11220	347	42	conference	conference	NOUN
easat-11220	347	43	on	on	ADP
easat-11220	347	44	electronics	electronic	NOUN
easat-11220	347	45	,	,	PUNCT
easat-11220	347	46	biomedical	biomedical	ADJ
easat-11220	347	47	engineering	engineering	NOUN
easat-11220	347	48	,	,	PUNCT
easat-11220	347	49	and	and	CCONJ
easat-11220	347	50	health	health	NOUN
easat-11220	347	51	informatics	informatic	NOUN
easat-11220	347	52	:	:	PUNCT
easat-11220	347	53	icebehi	icebehi	PROPN
easat-11220	347	54	2022	2022	NUM
easat-11220	347	55	,	,	PUNCT
easat-11220	347	56	5–6	5–6	PROPN
easat-11220	347	57	october	october	PROPN
easat-11220	347	58	,	,	PUNCT
easat-11220	347	59	surabaya	surabaya	PROPN
easat-11220	347	60	,	,	PUNCT
easat-11220	347	61	indonesia	indonesia	PROPN
easat-11220	347	62	(	(	PUNCT
easat-11220	347	63	pp	pp	PROPN
easat-11220	347	64	.	.	PUNCT
easat-11220	348	1	391	391	NUM
easat-11220	348	2	-	-	NUM
easat-11220	348	3	409	409	NUM
easat-11220	348	4	)	)	PUNCT
easat-11220	348	5	.	.	PUNCT
easat-11220	349	1	singapore	singapore	PROPN
easat-11220	349	2	:	:	PUNCT
easat-11220	349	3	springer	springer	NOUN
easat-11220	349	4	nature	nature	PROPN
easat-11220	349	5	singapore	singapore	PROPN
easat-11220	349	6	,	,	PUNCT
easat-11220	349	7	2023	2023	NUM
easat-11220	349	8	.	.	PUNCT
easat-11220	350	1	[	[	X
easat-11220	350	2	26	26	NUM
easat-11220	350	3	]	]	X
easat-11220	350	4	d.	d.	PROPN
easat-11220	350	5	w.	w.	PROPN
easat-11220	350	6	prabowo	prabowo	PROPN
easat-11220	350	7	,	,	PUNCT
easat-11220	350	8	n.	n.	PROPN
easat-11220	350	9	a.	a.	PROPN
easat-11220	350	10	setiawan	setiawan	PROPN
easat-11220	350	11	,	,	PUNCT
easat-11220	350	12	j.	j.	PROPN
easat-11220	350	13	debayle	debayle	PROPN
easat-11220	350	14	,	,	PUNCT
easat-11220	350	15	and	and	CCONJ
easat-11220	350	16	h.	h.	PROPN
easat-11220	350	17	a.	a.	NOUN
easat-11220	350	18	nugroho	nugroho	PROPN
easat-11220	350	19	,	,	PUNCT
easat-11220	350	20	"	"	PUNCT
easat-11220	350	21	enhancing	enhance	VERB
easat-11220	350	22	eeg	eeg	NOUN
easat-11220	350	23	-	-	PUNCT
easat-11220	350	24	based	base	VERB
easat-11220	350	25	emotion	emotion	NOUN
easat-11220	350	26	recognition	recognition	NOUN
easat-11220	350	27	using	use	VERB
easat-11220	350	28	asymmetric	asymmetric	ADJ
easat-11220	350	29	windowing	windowing	NOUN
easat-11220	350	30	recurrence	recurrence	NOUN
easat-11220	350	31	plots	plot	NOUN
easat-11220	350	32	,	,	PUNCT
easat-11220	350	33	"	"	PUNCT
easat-11220	350	34	ieee	ieee	NOUN
easat-11220	350	35	access	access	NOUN
easat-11220	350	36	,	,	PUNCT
easat-11220	350	37	vol	vol	NOUN
easat-11220	350	38	.	.	PROPN
easat-11220	350	39	12	12	NUM
easat-11220	350	40	,	,	PUNCT
easat-11220	350	41	pp	pp	ADJ
easat-11220	350	42	.	.	PUNCT
easat-11220	350	43	85969	85969	NUM
easat-11220	350	44	-	-	SYM
easat-11220	350	45	85982	85982	NUM
easat-11220	350	46	,	,	PUNCT
easat-11220	350	47	2024	2024	NUM
easat-11220	350	48	.	.	PUNCT
easat-11220	351	1	https://doi.org/10.1109/access.2024.3409384	https://doi.org/10.1109/access.2024.3409384	PROPN
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easat-11220	351	3	https://doi.org/10.1016/j.scienta.2020.109519	https://doi.org/10.1016/j.scienta.2020.109519	PROPN
easat-11220	351	4	https://doi.org/10.1016/j.eja.2020.126011	https://doi.org/10.1016/j.eja.2020.126011	PROPN
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easat-11220	351	6	https://doi.org/10.1016/j.scienta.2020.109231	https://doi.org/10.1016/j.scienta.2020.109231	ADJ
easat-11220	351	7	https://doi.org/10.3390/agriculture13010156	https://doi.org/10.3390/agriculture13010156	PROPN
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easat-11220	351	9	https://doi.org/10.32409/jikstik.22.4.3402	https://doi.org/10.32409/jikstik.22.4.3402	NOUN
easat-11220	351	10	https://doi.org/10.1016/j.atech.2023.100241	https://doi.org/10.1016/j.atech.2023.100241	PROPN
easat-11220	351	11	https://doi.org/10.1016/j.cogsys.2023.101152	https://doi.org/10.1016/j.cogsys.2023.101152	ADJ
easat-11220	351	12	https://doi.org/10.1186/s40537-021-00444-8	https://doi.org/10.1186/s40537-021-00444-8	NUM
easat-11220	351	13	http://dx.doi.org/10.62527/joiv.7.4.1711	http://dx.doi.org/10.62527/joiv.7.4.1711	NOUN
easat-11220	351	14	http://dx.doi.org/10.62527/joiv.8.2.2153	http://dx.doi.org/10.62527/joiv.8.2.2153	PROPN
easat-11220	351	15	https://doi.org/10.1007/s10462-024-10721-6	https://doi.org/10.1007/s10462-024-10721-6	PROPN
easat-11220	351	16	https://doi.org/10.3390/su13126527	https://doi.org/10.3390/su13126527	PROPN
easat-11220	351	17	https://doi.org/10.1155/2021/6621607	https://doi.org/10.1155/2021/6621607	VERB
easat-11220	351	18	https://doi.org/10.1016/j.isprsjprs.2020.12.010	https://doi.org/10.1016/j.isprsjprs.2020.12.010	PROPN
easat-11220	351	19	https://doi.org/10.3390/plants11151936	https://doi.org/10.3390/plants11151936	PROPN
easat-11220	351	20	https://doi.org/10.3390/informatics12020046	https://doi.org/10.3390/informatics12020046	NOUN
easat-11220	352	1	https://doi.org/10.3389/fpls.2024.1509656	https://doi.org/10.3389/fpls.2024.1509656	PROPN
easat-11220	353	1	https://doi.org/10.1109/access.2024.3409384	https://doi.org/10.1109/access.2024.3409384	PROPN
easat-11220	353	2	1401	1401	NUM
easat-11220	353	3	edelweiss	edelweiss	PROPN
easat-11220	353	4	applied	apply	VERB
easat-11220	353	5	science	science	NOUN
easat-11220	353	6	and	and	CCONJ
easat-11220	353	7	technology	technology	NOUN
easat-11220	353	8	issn	issn	PROPN
easat-11220	353	9	:	:	PUNCT
easat-11220	353	10	2576	2576	NUM
easat-11220	353	11	-	-	SYM
easat-11220	353	12	8484	8484	NUM
easat-11220	353	13	vol	vol	NOUN
easat-11220	353	14	.	.	PROPN
easat-11220	354	1	9	9	NUM
easat-11220	354	2	,	,	PUNCT
easat-11220	354	3	no	no	INTJ
easat-11220	354	4	.	.	NOUN
easat-11220	354	5	11	11	NUM
easat-11220	354	6	:	:	PUNCT
easat-11220	354	7	1389	1389	NUM
easat-11220	354	8	-	-	SYM
easat-11220	354	9	1401	1401	NUM
easat-11220	354	10	,	,	PUNCT
easat-11220	354	11	2025	2025	NUM
easat-11220	354	12	doi	doi	NOUN
easat-11220	354	13	:	:	PUNCT
easat-11220	354	14	10.55214/2576	10.55214/2576	NUM
easat-11220	354	15	-	-	SYM
easat-11220	354	16	8484.v9i11.11220	8484.v9i11.11220	NOUN
easat-11220	355	1	©	©	PROPN
easat-11220	355	2	2025	2025	NUM
easat-11220	355	3	by	by	ADP
easat-11220	355	4	the	the	DET
easat-11220	355	5	authors	author	NOUN
easat-11220	355	6	;	;	PUNCT
easat-11220	355	7	licensee	licensee	PROPN
easat-11220	355	8	learning	learning	NOUN
easat-11220	355	9	gate	gate	NOUN
easat-11220	356	1	[	[	X
easat-11220	356	2	27	27	NUM
easat-11220	356	3	]	]	PUNCT
easat-11220	356	4	a.	a.	NOUN
easat-11220	356	5	sumayli	sumayli	NOUN
easat-11220	356	6	,	,	PUNCT
easat-11220	356	7	"	"	PUNCT
easat-11220	356	8	development	development	NOUN
easat-11220	356	9	of	of	ADP
easat-11220	356	10	advanced	advanced	ADJ
easat-11220	356	11	machine	machine	NOUN
easat-11220	356	12	learning	learning	NOUN
easat-11220	356	13	models	model	NOUN
easat-11220	356	14	for	for	ADP
easat-11220	356	15	optimization	optimization	NOUN
easat-11220	356	16	of	of	ADP
easat-11220	356	17	methyl	methyl	NOUN
easat-11220	356	18	ester	ester	NOUN
easat-11220	356	19	biofuel	biofuel	NOUN
easat-11220	356	20	production	production	NOUN
easat-11220	356	21	from	from	ADP
easat-11220	356	22	papaya	papaya	NOUN
easat-11220	356	23	oil	oil	NOUN
easat-11220	356	24	:	:	PUNCT
easat-11220	356	25	gaussian	gaussian	ADJ
easat-11220	356	26	process	process	NOUN
easat-11220	356	27	regression	regression	NOUN
easat-11220	356	28	(	(	PUNCT
easat-11220	356	29	gpr	gpr	PROPN
easat-11220	356	30	)	)	PUNCT
easat-11220	356	31	,	,	PUNCT
easat-11220	356	32	multilayer	multilayer	PROPN
easat-11220	356	33	perceptron	perceptron	PROPN
easat-11220	356	34	(	(	PUNCT
easat-11220	356	35	mlp	mlp	PROPN
easat-11220	356	36	)	)	PUNCT
easat-11220	356	37	,	,	PUNCT
easat-11220	356	38	and	and	CCONJ
easat-11220	356	39	k	k	X
easat-11220	356	40	-	-	PUNCT
easat-11220	356	41	nearest	near	ADJ
easat-11220	356	42	neighbor	neighbor	NOUN
easat-11220	356	43	(	(	PUNCT
easat-11220	356	44	knn	knn	PROPN
easat-11220	356	45	)	)	PUNCT
easat-11220	356	46	regression	regression	NOUN
easat-11220	356	47	models	model	NOUN
easat-11220	356	48	,	,	PUNCT
easat-11220	356	49	"	"	PUNCT
easat-11220	356	50	arabian	arabian	ADJ
easat-11220	356	51	journal	journal	NOUN
easat-11220	356	52	of	of	ADP
easat-11220	356	53	chemistry	chemistry	NOUN
easat-11220	356	54	,	,	PUNCT
easat-11220	356	55	vol	vol	NOUN
easat-11220	356	56	.	.	PROPN
easat-11220	356	57	16	16	NUM
easat-11220	356	58	,	,	PUNCT
easat-11220	356	59	no	no	INTJ
easat-11220	356	60	.	.	NOUN
easat-11220	356	61	7	7	NUM
easat-11220	356	62	,	,	PUNCT
easat-11220	356	63	p.	p.	NOUN
easat-11220	356	64	104833	104833	NUM
easat-11220	356	65	,	,	PUNCT
easat-11220	356	66	2023	2023	NUM
easat-11220	356	67	.	.	PUNCT
easat-11220	357	1	https://doi.org/10.1016/j.arabjc.2023.104833	https://doi.org/10.1016/j.arabjc.2023.104833	VERB
easat-11220	357	2	[	[	X
easat-11220	357	3	28	28	NUM
easat-11220	357	4	]	]	PUNCT
easat-11220	357	5	a.	a.	NOUN
easat-11220	357	6	hudon	hudon	PROPN
easat-11220	357	7	,	,	PUNCT
easat-11220	357	8	m.	m.	NOUN
easat-11220	357	9	beaudoin	beaudoin	PROPN
easat-11220	357	10	,	,	PUNCT
easat-11220	357	11	k.	k.	PROPN
easat-11220	357	12	phraxayavong	phraxayavong	PROPN
easat-11220	357	13	,	,	PUNCT
easat-11220	357	14	l.	l.	PROPN
easat-11220	357	15	dellazizzo	dellazizzo	PROPN
easat-11220	357	16	,	,	PUNCT
easat-11220	357	17	s.	s.	PROPN
easat-11220	357	18	potvin	potvin	PROPN
easat-11220	357	19	,	,	PUNCT
easat-11220	357	20	and	and	CCONJ
easat-11220	357	21	a.	a.	PROPN
easat-11220	357	22	dumais	dumais	PROPN
easat-11220	357	23	,	,	PUNCT
easat-11220	357	24	"	"	PUNCT
easat-11220	357	25	use	use	NOUN
easat-11220	357	26	of	of	ADP
easat-11220	357	27	automated	automate	VERB
easat-11220	357	28	thematic	thematic	ADJ
easat-11220	357	29	annotations	annotation	NOUN
easat-11220	357	30	for	for	ADP
easat-11220	357	31	small	small	ADJ
easat-11220	357	32	data	datum	NOUN
easat-11220	357	33	sets	set	NOUN
easat-11220	357	34	in	in	ADP
easat-11220	357	35	a	a	DET
easat-11220	357	36	psychotherapeutic	psychotherapeutic	ADJ
easat-11220	357	37	context	context	NOUN
easat-11220	357	38	:	:	PUNCT
easat-11220	357	39	systematic	systematic	ADJ
easat-11220	357	40	review	review	NOUN
easat-11220	357	41	of	of	ADP
easat-11220	357	42	machine	machine	NOUN
easat-11220	357	43	learning	learning	NOUN
easat-11220	357	44	algorithms	algorithm	NOUN
easat-11220	357	45	,	,	PUNCT
easat-11220	357	46	"	"	PUNCT
easat-11220	357	47	jmir	jmir	PROPN
easat-11220	357	48	mental	mental	ADJ
easat-11220	357	49	health	health	PROPN
easat-11220	357	50	,	,	PUNCT
easat-11220	357	51	vol	vol	NOUN
easat-11220	357	52	.	.	PROPN
easat-11220	357	53	8	8	NUM
easat-11220	357	54	,	,	PUNCT
easat-11220	357	55	no	no	INTJ
easat-11220	357	56	.	.	NOUN
easat-11220	357	57	10	10	NUM
easat-11220	357	58	,	,	PUNCT
easat-11220	357	59	p.	p.	NOUN
easat-11220	357	60	e22651	e22651	NOUN
easat-11220	357	61	,	,	PUNCT
easat-11220	357	62	2021	2021	NUM
easat-11220	357	63	.	.	PUNCT
easat-11220	358	1	https://doi.org/10.2196/22651	https://doi.org/10.2196/22651	X
easat-11220	359	1	[	[	X
easat-11220	359	2	29	29	NUM
easat-11220	359	3	]	]	X
easat-11220	359	4	m.	m.	NOUN
easat-11220	359	5	aqeel	aqeel	PROPN
easat-11220	359	6	,	,	PUNCT
easat-11220	359	7	a.	a.	NOUN
easat-11220	359	8	sohaib	sohaib	PROPN
easat-11220	359	9	,	,	PUNCT
easat-11220	359	10	m.	m.	NOUN
easat-11220	359	11	iqbal	iqbal	PROPN
easat-11220	359	12	,	,	PUNCT
easat-11220	359	13	h.	h.	PROPN
easat-11220	359	14	u.	u.	PROPN
easat-11220	359	15	rehman	rehman	PROPN
easat-11220	359	16	,	,	PUNCT
easat-11220	359	17	and	and	CCONJ
easat-11220	359	18	f.	f.	PROPN
easat-11220	359	19	rustam	rustam	PROPN
easat-11220	359	20	,	,	PUNCT
easat-11220	359	21	"	"	PUNCT
easat-11220	359	22	hyperspectral	hyperspectral	ADJ
easat-11220	359	23	identification	identification	NOUN
easat-11220	359	24	of	of	ADP
easat-11220	359	25	oil	oil	NOUN
easat-11220	359	26	adulteration	adulteration	NOUN
easat-11220	359	27	using	use	VERB
easat-11220	359	28	machine	machine	NOUN
easat-11220	359	29	learning	learning	NOUN
easat-11220	359	30	techniques	technique	NOUN
easat-11220	359	31	,	,	PUNCT
easat-11220	359	32	"	"	PUNCT
easat-11220	359	33	current	current	ADJ
easat-11220	359	34	research	research	NOUN
easat-11220	359	35	in	in	ADP
easat-11220	359	36	food	food	NOUN
easat-11220	359	37	science	science	NOUN
easat-11220	359	38	,	,	PUNCT
easat-11220	359	39	vol	vol	NOUN
easat-11220	359	40	.	.	PROPN
easat-11220	359	41	8	8	NUM
easat-11220	359	42	,	,	PUNCT
easat-11220	359	43	p.	p.	NOUN
easat-11220	359	44	100773	100773	NUM
easat-11220	359	45	,	,	PUNCT
easat-11220	359	46	2024	2024	NUM
easat-11220	359	47	.	.	PUNCT
easat-11220	360	1	https://doi.org/10.1016/j.crfs.2024.100773	https://doi.org/10.1016/j.crfs.2024.100773	PROPN
easat-11220	361	1	[	[	X
easat-11220	361	2	30	30	NUM
easat-11220	361	3	]	]	X
easat-11220	361	4	y.	y.	PROPN
easat-11220	361	5	shang	shang	PROPN
easat-11220	361	6	,	,	PUNCT
easat-11220	361	7	"	"	PUNCT
easat-11220	361	8	prevention	prevention	NOUN
easat-11220	361	9	and	and	CCONJ
easat-11220	361	10	detection	detection	NOUN
easat-11220	361	11	of	of	ADP
easat-11220	361	12	ddos	ddo	NOUN
easat-11220	361	13	attack	attack	NOUN
easat-11220	361	14	in	in	ADP
easat-11220	361	15	virtual	virtual	ADJ
easat-11220	361	16	cloud	cloud	NOUN
easat-11220	361	17	computing	compute	VERB
easat-11220	361	18	environment	environment	NOUN
easat-11220	361	19	using	use	VERB
easat-11220	361	20	naive	naive	ADJ
easat-11220	361	21	bayes	bayes	NOUN
easat-11220	361	22	algorithm	algorithm	NOUN
easat-11220	361	23	of	of	ADP
easat-11220	361	24	machine	machine	NOUN
easat-11220	361	25	learning	learning	NOUN
easat-11220	361	26	,	,	PUNCT
easat-11220	361	27	"	"	PUNCT
easat-11220	361	28	measurement	measurement	NOUN
easat-11220	361	29	:	:	PUNCT
easat-11220	361	30	sensors	sensor	NOUN
easat-11220	361	31	,	,	PUNCT
easat-11220	361	32	vol	vol	NOUN
easat-11220	361	33	.	.	PROPN
easat-11220	361	34	31	31	NUM
easat-11220	361	35	,	,	PUNCT
easat-11220	361	36	p.	p.	NOUN
easat-11220	361	37	100991	100991	NUM
easat-11220	361	38	,	,	PUNCT
easat-11220	361	39	2024	2024	NUM
easat-11220	361	40	.	.	PUNCT
easat-11220	362	1	https://doi.org/10.1016/j.measen.2023.100991	https://doi.org/10.1016/j.measen.2023.100991	PROPN
easat-11220	363	1	[	[	X
easat-11220	363	2	31	31	NUM
easat-11220	363	3	]	]	PUNCT
easat-11220	364	1	p.	p.	PROPN
easat-11220	364	2	b.	b.	PROPN
easat-11220	364	3	yang	yang	PROPN
easat-11220	364	4	,	,	PUNCT
easat-11220	364	5	y.	y.	PROPN
easat-11220	364	6	j.	j.	PROPN
easat-11220	364	7	chan	chan	PROPN
easat-11220	364	8	,	,	PUNCT
easat-11220	364	9	s.	s.	PROPN
easat-11220	364	10	k.	k.	PROPN
easat-11220	364	11	yazdi	yazdi	PROPN
easat-11220	364	12	,	,	PUNCT
easat-11220	364	13	and	and	CCONJ
easat-11220	364	14	j.	j.	PROPN
easat-11220	364	15	w.	w.	PROPN
easat-11220	364	16	lim	lim	PROPN
easat-11220	364	17	,	,	PUNCT
easat-11220	364	18	"	"	PUNCT
easat-11220	364	19	optimisation	optimisation	NOUN
easat-11220	364	20	and	and	CCONJ
easat-11220	364	21	economic	economic	ADJ
easat-11220	364	22	analysis	analysis	NOUN
easat-11220	364	23	of	of	ADP
easat-11220	364	24	industrial	industrial	ADJ
easat-11220	364	25	-	-	PUNCT
easat-11220	364	26	scale	scale	NOUN
easat-11220	364	27	anaerobic	anaerobic	NOUN
easat-11220	364	28	co	co	NOUN
easat-11220	364	29	-	-	NOUN
easat-11220	364	30	digestion	digestion	NOUN
easat-11220	364	31	(	(	PUNCT
easat-11220	364	32	acod	acod	NOUN
easat-11220	364	33	)	)	PUNCT
easat-11220	364	34	of	of	ADP
easat-11220	364	35	palm	palm	NOUN
easat-11220	364	36	oil	oil	NOUN
easat-11220	364	37	mill	mill	NOUN
easat-11220	364	38	effluent	effluent	NOUN
easat-11220	364	39	(	(	PUNCT
easat-11220	364	40	pome	pome	NOUN
easat-11220	364	41	)	)	PUNCT
easat-11220	364	42	and	and	CCONJ
easat-11220	364	43	decanter	decanter	NOUN
easat-11220	364	44	cake	cake	NOUN
easat-11220	364	45	(	(	PUNCT
easat-11220	364	46	dc	dc	PROPN
easat-11220	364	47	)	)	PUNCT
easat-11220	364	48	using	use	VERB
easat-11220	364	49	machine	machine	NOUN
easat-11220	364	50	learning	learning	NOUN
easat-11220	364	51	models	model	NOUN
easat-11220	364	52	:	:	PUNCT
easat-11220	364	53	a	a	DET
easat-11220	364	54	comparative	comparative	ADJ
easat-11220	364	55	study	study	NOUN
easat-11220	364	56	of	of	ADP
easat-11220	364	57	gradient	gradient	ADJ
easat-11220	364	58	boosting	boost	VERB
easat-11220	364	59	machines	machine	NOUN
easat-11220	364	60	(	(	PUNCT
easat-11220	364	61	gbm	gbm	PROPN
easat-11220	364	62	)	)	PUNCT
easat-11220	364	63	,	,	PUNCT
easat-11220	364	64	k	k	X
easat-11220	364	65	-	-	PUNCT
easat-11220	364	66	nearest	near	ADJ
easat-11220	364	67	neighbours	neighbour	NOUN
easat-11220	364	68	(	(	PUNCT
easat-11220	364	69	knn	knn	PROPN
easat-11220	364	70	)	)	PUNCT
easat-11220	364	71	,	,	PUNCT
easat-11220	364	72	and	and	CCONJ
easat-11220	364	73	random	random	ADJ
easat-11220	364	74	forest	forest	NOUN
easat-11220	364	75	(	(	PUNCT
easat-11220	364	76	rf	rf	NOUN
easat-11220	364	77	)	)	PUNCT
easat-11220	364	78	,	,	PUNCT
easat-11220	364	79	"	"	PUNCT
easat-11220	364	80	journal	journal	NOUN
easat-11220	364	81	of	of	ADP
easat-11220	364	82	water	water	NOUN
easat-11220	364	83	process	process	NOUN
easat-11220	364	84	engineering	engineering	NOUN
easat-11220	364	85	,	,	PUNCT
easat-11220	364	86	vol	vol	NOUN
easat-11220	364	87	.	.	PROPN
easat-11220	364	88	58	58	NUM
easat-11220	364	89	,	,	PUNCT
easat-11220	364	90	p.	p.	NOUN
easat-11220	364	91	104752	104752	NUM
easat-11220	364	92	,	,	PUNCT
easat-11220	364	93	2024	2024	NUM
easat-11220	364	94	.	.	PUNCT
easat-11220	365	1	https://doi.org/10.1016/j.jwpe.2023.104752	https://doi.org/10.1016/j.jwpe.2023.104752	PROPN
easat-11220	365	2	[	[	X
easat-11220	365	3	32	32	NUM
easat-11220	365	4	]	]	PUNCT
easat-11220	365	5	z.	z.	PROPN
easat-11220	365	6	jin	jin	PROPN
easat-11220	365	7	,	,	PUNCT
easat-11220	365	8	j.	j.	PROPN
easat-11220	365	9	shang	shang	PROPN
easat-11220	365	10	,	,	PUNCT
easat-11220	365	11	q.	q.	PROPN
easat-11220	365	12	zhu	zhu	PROPN
easat-11220	365	13	,	,	PUNCT
easat-11220	365	14	c.	c.	PROPN
easat-11220	365	15	ling	ling	PROPN
easat-11220	365	16	,	,	PUNCT
easat-11220	365	17	w.	w.	PROPN
easat-11220	365	18	xie	xie	PROPN
easat-11220	365	19	,	,	PUNCT
easat-11220	365	20	and	and	CCONJ
easat-11220	365	21	b.	b.	PROPN
easat-11220	365	22	qiang	qiang	PROPN
easat-11220	365	23	,	,	PUNCT
easat-11220	365	24	"	"	PUNCT
easat-11220	365	25	rfrsf	rfrsf	NOUN
easat-11220	365	26	:	:	PUNCT
easat-11220	365	27	employee	employee	NOUN
easat-11220	365	28	turnover	turnover	NOUN
easat-11220	365	29	prediction	prediction	NOUN
easat-11220	365	30	based	base	VERB
easat-11220	365	31	on	on	ADP
easat-11220	365	32	random	random	ADJ
easat-11220	365	33	forests	forest	NOUN
easat-11220	365	34	and	and	CCONJ
easat-11220	365	35	survival	survival	NOUN
easat-11220	365	36	analysis	analysis	NOUN
easat-11220	365	37	,	,	PUNCT
easat-11220	365	38	"	"	PUNCT
easat-11220	365	39	in	in	ADP
easat-11220	365	40	in	in	ADP
easat-11220	365	41	international	international	ADJ
easat-11220	365	42	conference	conference	NOUN
easat-11220	365	43	on	on	ADP
easat-11220	365	44	web	web	NOUN
easat-11220	365	45	information	information	NOUN
easat-11220	365	46	systems	system	NOUN
easat-11220	365	47	engineering	engineering	NOUN
easat-11220	365	48	(	(	PUNCT
easat-11220	365	49	pp	pp	ADJ
easat-11220	365	50	.	.	PUNCT
easat-11220	366	1	503	503	NUM
easat-11220	366	2	-	-	NUM
easat-11220	366	3	515	515	NUM
easat-11220	366	4	)	)	PUNCT
easat-11220	366	5	.	.	PUNCT
easat-11220	367	1	cham	cham	PROPN
easat-11220	367	2	:	:	PUNCT
easat-11220	367	3	springer	springer	NOUN
easat-11220	367	4	international	international	ADJ
easat-11220	367	5	publishing	publishing	NOUN
easat-11220	367	6	,	,	PUNCT
easat-11220	367	7	2020	2020	NUM
easat-11220	367	8	.	.	PUNCT
easat-11220	368	1	[	[	X
easat-11220	368	2	33	33	NUM
easat-11220	368	3	]	]	X
easat-11220	368	4	c.	c.	NOUN
easat-11220	368	5	cortes	corte	VERB
easat-11220	368	6	and	and	CCONJ
easat-11220	368	7	v.	v.	ADP
easat-11220	368	8	vapnik	vapnik	X
easat-11220	368	9	,	,	PUNCT
easat-11220	368	10	"	"	PUNCT
easat-11220	368	11	support	support	NOUN
easat-11220	368	12	-	-	PUNCT
easat-11220	368	13	vector	vector	NOUN
easat-11220	368	14	networks	network	NOUN
easat-11220	368	15	,	,	PUNCT
easat-11220	368	16	"	"	PUNCT
easat-11220	368	17	machine	machine	NOUN
easat-11220	368	18	learning	learning	NOUN
easat-11220	368	19	,	,	PUNCT
easat-11220	368	20	vol	vol	NOUN
easat-11220	368	21	.	.	PROPN
easat-11220	369	1	20	20	NUM
easat-11220	369	2	,	,	PUNCT
easat-11220	369	3	no	no	INTJ
easat-11220	369	4	.	.	NOUN
easat-11220	369	5	3	3	NUM
easat-11220	369	6	,	,	PUNCT
easat-11220	369	7	pp	pp	ADJ
easat-11220	369	8	.	.	PUNCT
easat-11220	370	1	273	273	NUM
easat-11220	370	2	-	-	SYM
easat-11220	370	3	297	297	NUM
easat-11220	370	4	,	,	PUNCT
easat-11220	370	5	1995	1995	NUM
easat-11220	370	6	.	.	PUNCT
easat-11220	371	1	https://doi.org/10.1007/bf00994018	https://doi.org/10.1007/bf00994018	VERB
easat-11220	372	1	[	[	X
easat-11220	372	2	34	34	NUM
easat-11220	372	3	]	]	X
easat-11220	372	4	i.	i.	PROPN
easat-11220	372	5	h.	h.	PROPN
easat-11220	372	6	witten	witten	PROPN
easat-11220	372	7	,	,	PUNCT
easat-11220	372	8	e.	e.	PROPN
easat-11220	372	9	frank	frank	PROPN
easat-11220	372	10	,	,	PUNCT
easat-11220	372	11	and	and	CCONJ
easat-11220	372	12	m.	m.	NOUN
easat-11220	372	13	a.	a.	PROPN
easat-11220	372	14	hall	hall	PROPN
easat-11220	372	15	,	,	PUNCT
easat-11220	372	16	data	data	NOUN
easat-11220	372	17	mining	mining	NOUN
easat-11220	372	18	:	:	PUNCT
easat-11220	372	19	practical	practical	ADJ
easat-11220	372	20	machine	machine	NOUN
easat-11220	372	21	learning	learning	NOUN
easat-11220	372	22	tools	tool	NOUN
easat-11220	372	23	and	and	CCONJ
easat-11220	372	24	techniques	technique	NOUN
easat-11220	372	25	,	,	PUNCT
easat-11220	372	26	3rd	3rd	ADJ
easat-11220	372	27	ed	ed	NOUN
easat-11220	372	28	.	.	PUNCT
easat-11220	373	1	burlington	burlington	PROPN
easat-11220	373	2	,	,	PUNCT
easat-11220	373	3	ma	ma	PROPN
easat-11220	373	4	:	:	PUNCT
easat-11220	373	5	morgan	morgan	PROPN
easat-11220	373	6	kaufmann	kaufmann	PROPN
easat-11220	373	7	publishers	publishers	PROPN
easat-11220	373	8	,	,	PUNCT
easat-11220	373	9	2011	2011	NUM
easat-11220	373	10	.	.	PUNCT
easat-11220	374	1	[	[	X
easat-11220	374	2	35	35	NUM
easat-11220	374	3	]	]	PUNCT
easat-11220	374	4	t.	t.	PROPN
easat-11220	374	5	chen	chen	PROPN
easat-11220	374	6	and	and	CCONJ
easat-11220	374	7	c.	c.	PROPN
easat-11220	374	8	guestrin	guestrin	PROPN
easat-11220	374	9	,	,	PUNCT
easat-11220	374	10	"	"	PUNCT
easat-11220	374	11	xgboost	xgboost	ADV
easat-11220	374	12	:	:	PUNCT
easat-11220	374	13	a	a	DET
easat-11220	374	14	scalable	scalable	ADJ
easat-11220	374	15	tree	tree	NOUN
easat-11220	374	16	boosting	boost	VERB
easat-11220	374	17	system	system	NOUN
easat-11220	374	18	,	,	PUNCT
easat-11220	374	19	"	"	PUNCT
easat-11220	374	20	in	in	ADP
easat-11220	374	21	proceedings	proceeding	NOUN
easat-11220	374	22	of	of	ADP
easat-11220	374	23	the	the	DET
easat-11220	374	24	22nd	22nd	PROPN
easat-11220	374	25	acm	acm	PROPN
easat-11220	374	26	sigkdd	sigkdd	PROPN
easat-11220	374	27	international	international	ADJ
easat-11220	374	28	conference	conference	NOUN
easat-11220	374	29	on	on	ADP
easat-11220	374	30	knowledge	knowledge	NOUN
easat-11220	374	31	discovery	discovery	PROPN
easat-11220	374	32	and	and	CCONJ
easat-11220	374	33	data	datum	NOUN
easat-11220	374	34	mining	mining	NOUN
easat-11220	374	35	,	,	PUNCT
easat-11220	374	36	2016	2016	NUM
easat-11220	374	37	.	.	PUNCT
easat-11220	375	1	[	[	X
easat-11220	375	2	36	36	NUM
easat-11220	375	3	]	]	PUNCT
easat-11220	375	4	a.	a.	PROPN
easat-11220	375	5	y.	y.	PROPN
easat-11220	375	6	al	al	PROPN
easat-11220	375	7	hammadi	hammadi	PROPN
easat-11220	375	8	et	et	PROPN
easat-11220	375	9	al	al	PROPN
easat-11220	375	10	.	.	PROPN
easat-11220	375	11	,	,	PUNCT
easat-11220	375	12	"	"	PUNCT
easat-11220	375	13	explainable	explainable	ADJ
easat-11220	375	14	artificial	artificial	ADJ
easat-11220	375	15	intelligence	intelligence	NOUN
easat-11220	375	16	to	to	PART
easat-11220	375	17	evaluate	evaluate	VERB
easat-11220	375	18	industrial	industrial	ADJ
easat-11220	375	19	internal	internal	ADJ
easat-11220	375	20	security	security	NOUN
easat-11220	375	21	using	use	VERB
easat-11220	375	22	eeg	eeg	NOUN
easat-11220	375	23	signals	signal	NOUN
easat-11220	375	24	in	in	ADP
easat-11220	375	25	iot	iot	NOUN
easat-11220	375	26	framework	framework	NOUN
easat-11220	375	27	,	,	PUNCT
easat-11220	375	28	"	"	PUNCT
easat-11220	375	29	ad	ad	X
easat-11220	375	30	hoc	hoc	X
easat-11220	375	31	networks	network	NOUN
easat-11220	375	32	,	,	PUNCT
easat-11220	375	33	vol	vol	NOUN
easat-11220	375	34	.	.	PROPN
easat-11220	375	35	123	123	NUM
easat-11220	375	36	,	,	PUNCT
easat-11220	375	37	p.	p.	NOUN
easat-11220	375	38	102641	102641	NUM
easat-11220	375	39	,	,	PUNCT
easat-11220	375	40	2021	2021	NUM
easat-11220	375	41	.	.	PUNCT
easat-11220	376	1	https://doi.org/10.1016/j.adhoc.2021.102641	https://doi.org/10.1016/j.adhoc.2021.102641	PROPN
easat-11220	376	2	https://doi.org/10.1016/j.arabjc.2023.104833	https://doi.org/10.1016/j.arabjc.2023.104833	VERB
easat-11220	376	3	https://doi.org/10.2196/22651	https://doi.org/10.2196/22651	PROPN
easat-11220	376	4	https://doi.org/10.1016/j.crfs.2024.100773	https://doi.org/10.1016/j.crfs.2024.100773	PROPN
easat-11220	376	5	https://doi.org/10.1016/j.measen.2023.100991	https://doi.org/10.1016/j.measen.2023.100991	PROPN
easat-11220	376	6	https://doi.org/10.1016/j.jwpe.2023.104752	https://doi.org/10.1016/j.jwpe.2023.104752	PROPN
easat-11220	376	7	https://doi.org/10.1007/bf00994018	https://doi.org/10.1007/bf00994018	VERB
easat-11220	376	8	https://doi.org/10.1016/j.adhoc.2021.102641	https://doi.org/10.1016/j.adhoc.2021.102641	PROPN