id	sid	tid	token	lemma	pos
easat-9393	1	1	edelweiss	edelweiss	PROPN
easat-9393	1	2	applied	apply	VERB
easat-9393	1	3	science	science	NOUN
easat-9393	1	4	and	and	CCONJ
easat-9393	1	5	technology	technology	NOUN
easat-9393	1	6	issn	issn	PROPN
easat-9393	1	7	:	:	PUNCT
easat-9393	1	8	2576	2576	NUM
easat-9393	1	9	-	-	SYM
easat-9393	1	10	8484	8484	NUM
easat-9393	1	11	vol	vol	NOUN
easat-9393	1	12	.	.	PROPN
easat-9393	2	1	9	9	NUM
easat-9393	2	2	,	,	PUNCT
easat-9393	2	3	no	no	INTJ
easat-9393	2	4	.	.	NOUN
easat-9393	2	5	8	8	NUM
easat-9393	2	6	,	,	PUNCT
easat-9393	2	7	624	624	NUM
easat-9393	2	8	-	-	SYM
easat-9393	2	9	640	640	NUM
easat-9393	2	10	2025	2025	NUM
easat-9393	2	11	publisher	publisher	NOUN
easat-9393	2	12	:	:	PUNCT
easat-9393	2	13	learning	learn	VERB
easat-9393	2	14	gate	gate	NOUN
easat-9393	2	15	doi	doi	PROPN
easat-9393	2	16	:	:	PUNCT
easat-9393	2	17	10.55214/2576	10.55214/2576	NUM
easat-9393	2	18	-	-	SYM
easat-9393	2	19	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	3	1	©	©	PROPN
easat-9393	3	2	2025	2025	NUM
easat-9393	3	3	by	by	ADP
easat-9393	3	4	the	the	DET
easat-9393	3	5	authors	author	NOUN
easat-9393	3	6	;	;	PUNCT
easat-9393	3	7	licensee	licensee	PROPN
easat-9393	3	8	learning	learning	NOUN
easat-9393	3	9	gate	gate	NOUN
easat-9393	3	10	©	©	PROPN
easat-9393	3	11	2025	2025	NUM
easat-9393	3	12	by	by	ADP
easat-9393	3	13	the	the	DET
easat-9393	3	14	authors	author	NOUN
easat-9393	3	15	;	;	PUNCT
easat-9393	3	16	licensee	licensee	PROPN
easat-9393	3	17	learning	learning	NOUN
easat-9393	3	18	gate	gate	NOUN
easat-9393	3	19	history	history	NOUN
easat-9393	3	20	:	:	PUNCT
easat-9393	3	21	received	receive	VERB
easat-9393	3	22	:	:	PUNCT
easat-9393	3	23	5	5	NUM
easat-9393	3	24	june	june	PROPN
easat-9393	3	25	2025	2025	NUM
easat-9393	3	26	;	;	PUNCT
easat-9393	3	27	revised	revise	VERB
easat-9393	3	28	:	:	PUNCT
easat-9393	3	29	18	18	NUM
easat-9393	3	30	july	july	PROPN
easat-9393	3	31	2025	2025	NUM
easat-9393	3	32	;	;	PUNCT
easat-9393	3	33	accepted	accept	VERB
easat-9393	3	34	:	:	PUNCT
easat-9393	3	35	22	22	NUM
easat-9393	3	36	july	july	PROPN
easat-9393	3	37	2025	2025	NUM
easat-9393	3	38	;	;	PUNCT
easat-9393	3	39	published	publish	VERB
easat-9393	3	40	:	:	PUNCT
easat-9393	3	41	11	11	NUM
easat-9393	3	42	august	august	PROPN
easat-9393	3	43	2025	2025	NUM
easat-9393	3	44	*	*	PUNCT
easat-9393	3	45	correspondence	correspondence	NOUN
easat-9393	3	46	:	:	PUNCT
easat-9393	3	47	bcyeo@mmu.edu.my	bcyeo@mmu.edu.my	NOUN
easat-9393	3	48	comparative	comparative	ADJ
easat-9393	3	49	analysis	analysis	NOUN
easat-9393	3	50	of	of	ADP
easat-9393	3	51	deep	deep	ADJ
easat-9393	3	52	learning	learning	NOUN
easat-9393	3	53	models	model	NOUN
easat-9393	3	54	for	for	ADP
easat-9393	3	55	post	post	ADJ
easat-9393	3	56	-	-	ADJ
easat-9393	3	57	roasting	roasting	ADJ
easat-9393	3	58	coffee	coffee	NOUN
easat-9393	3	59	bean	bean	NOUN
easat-9393	3	60	classification	classification	NOUN
easat-9393	3	61	faiza	faiza	PROPN
easat-9393	3	62	osama	osama	PROPN
easat-9393	3	63	abdalla	abdalla	PROPN
easat-9393	3	64	hashim1	hashim1	NOUN
easat-9393	3	65	,	,	PUNCT
easat-9393	3	66	boon	boon	NOUN
easat-9393	3	67	chin	chin	PROPN
easat-9393	3	68	yeo1	yeo1	PROPN
easat-9393	3	69	*	*	PROPN
easat-9393	3	70	,	,	PUNCT
easat-9393	3	71	akaraphunt	akaraphunt	PROPN
easat-9393	3	72	vongkunghae2	vongkunghae2	PROPN
easat-9393	3	73	,	,	PUNCT
easat-9393	3	74	way	way	NOUN
easat-9393	3	75	soong	soong	PROPN
easat-9393	3	76	lim1	lim1	PROPN
easat-9393	3	77	,	,	PUNCT
easat-9393	3	78	jiraporn	jiraporn	NOUN
easat-9393	3	79	pooksook2	pooksook2	PROPN
easat-9393	3	80	,	,	PUNCT
easat-9393	3	81	kia	kia	PROPN
easat-9393	3	82	wai	wai	PROPN
easat-9393	3	83	liew1	liew1	PROPN
easat-9393	3	84	,	,	PUNCT
easat-9393	3	85	jakir	jakir	ADV
easat-9393	3	86	hossen1	hossen1	VERB
easat-9393	3	87	1faculty	1faculty	NUM
easat-9393	3	88	of	of	ADP
easat-9393	3	89	engineering	engineering	NOUN
easat-9393	3	90	and	and	CCONJ
easat-9393	3	91	technology	technology	NOUN
easat-9393	3	92	,	,	PUNCT
easat-9393	3	93	multimedia	multimedia	NOUN
easat-9393	3	94	university	university	NOUN
easat-9393	3	95	,	,	PUNCT
easat-9393	3	96	melaka	melaka	PROPN
easat-9393	3	97	,	,	PUNCT
easat-9393	3	98	malaysia	malaysia	PROPN
easat-9393	3	99	;	;	PUNCT
easat-9393	3	100	bcyeo@mmu.edu.my	bcyeo@mmu.edu.my	NOUN
easat-9393	3	101	(	(	PUNCT
easat-9393	3	102	b.c.y	b.c.y	NOUN
easat-9393	3	103	.	.	PUNCT
easat-9393	3	104	)	)	PUNCT
easat-9393	3	105	.	.	PUNCT
easat-9393	4	1	2faculty	2faculty	NUM
easat-9393	4	2	of	of	ADP
easat-9393	4	3	engineering	engineering	NOUN
easat-9393	4	4	,	,	PUNCT
easat-9393	4	5	naresuan	naresuan	PROPN
easat-9393	4	6	university	university	PROPN
easat-9393	4	7	,	,	PUNCT
easat-9393	4	8	phitsanulok	phitsanulok	PROPN
easat-9393	4	9	,	,	PUNCT
easat-9393	4	10	thailand	thailand	PROPN
easat-9393	4	11	.	.	PUNCT
easat-9393	5	1	abstract	abstract	PROPN
easat-9393	5	2	:	:	PUNCT
easat-9393	5	3	the	the	DET
easat-9393	5	4	classification	classification	NOUN
easat-9393	5	5	of	of	ADP
easat-9393	5	6	coffee	coffee	NOUN
easat-9393	5	7	beans	bean	NOUN
easat-9393	5	8	is	be	AUX
easat-9393	5	9	crucial	crucial	ADJ
easat-9393	5	10	for	for	ADP
easat-9393	5	11	maintaining	maintain	VERB
easat-9393	5	12	quality	quality	NOUN
easat-9393	5	13	and	and	CCONJ
easat-9393	5	14	consistency	consistency	NOUN
easat-9393	5	15	within	within	ADP
easat-9393	5	16	the	the	DET
easat-9393	5	17	coffee	coffee	NOUN
easat-9393	5	18	industry	industry	NOUN
easat-9393	5	19	.	.	PUNCT
easat-9393	6	1	manual	manual	ADJ
easat-9393	6	2	inspection	inspection	NOUN
easat-9393	6	3	,	,	PUNCT
easat-9393	6	4	however	however	ADV
easat-9393	6	5	,	,	PUNCT
easat-9393	6	6	is	be	AUX
easat-9393	6	7	labor	labor	NOUN
easat-9393	6	8	-	-	PUNCT
easat-9393	6	9	intensive	intensive	ADJ
easat-9393	6	10	,	,	PUNCT
easat-9393	6	11	error	error	NOUN
easat-9393	6	12	-	-	PUNCT
easat-9393	6	13	prone	prone	ADJ
easat-9393	6	14	,	,	PUNCT
easat-9393	6	15	and	and	CCONJ
easat-9393	6	16	susceptible	susceptible	ADJ
easat-9393	6	17	to	to	ADP
easat-9393	6	18	human	human	ADJ
easat-9393	6	19	biases	bias	NOUN
easat-9393	6	20	.	.	PUNCT
easat-9393	7	1	to	to	PART
easat-9393	7	2	address	address	VERB
easat-9393	7	3	these	these	DET
easat-9393	7	4	challenges	challenge	NOUN
easat-9393	7	5	,	,	PUNCT
easat-9393	7	6	this	this	DET
easat-9393	7	7	study	study	NOUN
easat-9393	7	8	aims	aim	VERB
easat-9393	7	9	to	to	PART
easat-9393	7	10	automate	automate	VERB
easat-9393	7	11	coffee	coffee	NOUN
easat-9393	7	12	bean	bean	NOUN
easat-9393	7	13	classification	classification	NOUN
easat-9393	7	14	using	use	VERB
easat-9393	7	15	deep	deep	ADJ
easat-9393	7	16	learning	learning	NOUN
easat-9393	7	17	models	model	NOUN
easat-9393	7	18	to	to	PART
easat-9393	7	19	improve	improve	VERB
easat-9393	7	20	accuracy	accuracy	NOUN
easat-9393	7	21	and	and	CCONJ
easat-9393	7	22	efficiency	efficiency	NOUN
easat-9393	7	23	.	.	PUNCT
easat-9393	8	1	four	four	NUM
easat-9393	8	2	pre	pre	ADJ
easat-9393	8	3	-	-	ADJ
easat-9393	8	4	trained	train	VERB
easat-9393	8	5	models	model	NOUN
easat-9393	8	6	—	—	PUNCT
easat-9393	8	7	xception	xception	NOUN
easat-9393	8	8	,	,	PUNCT
easat-9393	8	9	resnet50v2	resnet50v2	NOUN
easat-9393	8	10	,	,	PUNCT
easat-9393	8	11	efficientnetb0	efficientnetb0	NOUN
easat-9393	8	12	,	,	PUNCT
easat-9393	8	13	and	and	CCONJ
easat-9393	8	14	vgg16	vgg16	PROPN
easat-9393	8	15	—	—	PUNCT
easat-9393	8	16	were	be	AUX
easat-9393	8	17	evaluated	evaluate	VERB
easat-9393	8	18	for	for	ADP
easat-9393	8	19	predicting	predict	VERB
easat-9393	8	20	post	post	ADJ
easat-9393	8	21	-	-	ADJ
easat-9393	8	22	roasting	roasting	ADJ
easat-9393	8	23	coffee	coffee	NOUN
easat-9393	8	24	bean	bean	NOUN
easat-9393	8	25	quality	quality	NOUN
easat-9393	8	26	based	base	VERB
easat-9393	8	27	on	on	ADP
easat-9393	8	28	two	two	NUM
easat-9393	8	29	datasets	dataset	NOUN
easat-9393	8	30	:	:	PUNCT
easat-9393	8	31	a	a	DET
easat-9393	8	32	kaggle	kaggle	ADJ
easat-9393	8	33	dataset	dataset	NOUN
easat-9393	8	34	and	and	CCONJ
easat-9393	8	35	a	a	DET
easat-9393	8	36	self	self	NOUN
easat-9393	8	37	-	-	PUNCT
easat-9393	8	38	collected	collect	VERB
easat-9393	8	39	dataset	dataset	NOUN
easat-9393	8	40	with	with	ADP
easat-9393	8	41	an	an	DET
easat-9393	8	42	image	image	NOUN
easat-9393	8	43	scanner	scanner	NOUN
easat-9393	8	44	.	.	PUNCT
easat-9393	9	1	the	the	DET
easat-9393	9	2	datasets	dataset	NOUN
easat-9393	9	3	included	include	VERB
easat-9393	9	4	images	image	NOUN
easat-9393	9	5	of	of	ADP
easat-9393	9	6	coffee	coffee	NOUN
easat-9393	9	7	beans	bean	NOUN
easat-9393	9	8	at	at	ADP
easat-9393	9	9	four	four	NUM
easat-9393	9	10	roast	roast	NOUN
easat-9393	9	11	levels	level	NOUN
easat-9393	9	12	:	:	PUNCT
easat-9393	9	13	dark	dark	ADJ
easat-9393	9	14	,	,	PUNCT
easat-9393	9	15	green	green	ADJ
easat-9393	9	16	,	,	PUNCT
easat-9393	9	17	light	light	ADJ
easat-9393	9	18	,	,	PUNCT
easat-9393	9	19	and	and	CCONJ
easat-9393	9	20	medium	medium	NOUN
easat-9393	9	21	.	.	PUNCT
easat-9393	10	1	the	the	DET
easat-9393	10	2	models	model	NOUN
easat-9393	10	3	were	be	AUX
easat-9393	10	4	trained	train	VERB
easat-9393	10	5	and	and	CCONJ
easat-9393	10	6	tested	test	VERB
easat-9393	10	7	using	use	VERB
easat-9393	10	8	standard	standard	ADJ
easat-9393	10	9	deep	deep	ADJ
easat-9393	10	10	learning	learning	NOUN
easat-9393	10	11	techniques	technique	NOUN
easat-9393	10	12	,	,	PUNCT
easat-9393	10	13	with	with	ADP
easat-9393	10	14	performance	performance	NOUN
easat-9393	10	15	assessed	assess	VERB
easat-9393	10	16	through	through	ADP
easat-9393	10	17	metrics	metric	NOUN
easat-9393	10	18	such	such	ADJ
easat-9393	10	19	as	as	ADP
easat-9393	10	20	accuracy	accuracy	NOUN
easat-9393	10	21	,	,	PUNCT
easat-9393	10	22	precision	precision	NOUN
easat-9393	10	23	,	,	PUNCT
easat-9393	10	24	recall	recall	NOUN
easat-9393	10	25	,	,	PUNCT
easat-9393	10	26	and	and	CCONJ
easat-9393	10	27	f1	f1	NOUN
easat-9393	10	28	-	-	PUNCT
easat-9393	10	29	score	score	NOUN
easat-9393	10	30	.	.	PUNCT
easat-9393	11	1	the	the	DET
easat-9393	11	2	results	result	NOUN
easat-9393	11	3	demonstrated	demonstrate	VERB
easat-9393	11	4	that	that	SCONJ
easat-9393	11	5	xception	xception	NOUN
easat-9393	11	6	and	and	CCONJ
easat-9393	11	7	efficientnetb0	efficientnetb0	PROPN
easat-9393	11	8	achieved	achieve	VERB
easat-9393	11	9	the	the	DET
easat-9393	11	10	highest	high	ADJ
easat-9393	11	11	classification	classification	NOUN
easat-9393	11	12	performance	performance	NOUN
easat-9393	11	13	.	.	PUNCT
easat-9393	12	1	on	on	ADP
easat-9393	12	2	the	the	DET
easat-9393	12	3	kaggle	kaggle	ADJ
easat-9393	12	4	dataset	dataset	NOUN
easat-9393	12	5	,	,	PUNCT
easat-9393	12	6	both	both	DET
easat-9393	12	7	models	model	NOUN
easat-9393	12	8	achieved	achieve	VERB
easat-9393	12	9	100	100	NUM
easat-9393	12	10	%	%	NOUN
easat-9393	12	11	accuracy	accuracy	NOUN
easat-9393	12	12	,	,	PUNCT
easat-9393	12	13	while	while	SCONJ
easat-9393	12	14	on	on	ADP
easat-9393	12	15	the	the	DET
easat-9393	12	16	self	self	NOUN
easat-9393	12	17	-	-	PUNCT
easat-9393	12	18	collected	collect	VERB
easat-9393	12	19	dataset	dataset	NOUN
easat-9393	12	20	,	,	PUNCT
easat-9393	12	21	xception	xception	PROPN
easat-9393	12	22	achieved	achieve	VERB
easat-9393	12	23	99.3	99.3	NUM
easat-9393	12	24	%	%	NOUN
easat-9393	12	25	,	,	PUNCT
easat-9393	12	26	and	and	CCONJ
easat-9393	12	27	efficientnetb0	efficientnetb0	NOUN
easat-9393	12	28	achieved	achieve	VERB
easat-9393	12	29	99.07	99.07	NUM
easat-9393	12	30	%	%	NOUN
easat-9393	12	31	.	.	PUNCT
easat-9393	13	1	these	these	DET
easat-9393	13	2	findings	finding	NOUN
easat-9393	13	3	underscore	underscore	VERB
easat-9393	13	4	the	the	DET
easat-9393	13	5	robustness	robustness	NOUN
easat-9393	13	6	of	of	ADP
easat-9393	13	7	applying	apply	VERB
easat-9393	13	8	deep	deep	ADJ
easat-9393	13	9	learning	learning	NOUN
easat-9393	13	10	models	model	NOUN
easat-9393	13	11	in	in	ADP
easat-9393	13	12	automating	automate	VERB
easat-9393	13	13	coffee	coffee	NOUN
easat-9393	13	14	quality	quality	NOUN
easat-9393	13	15	control	control	NOUN
easat-9393	13	16	,	,	PUNCT
easat-9393	13	17	reducing	reduce	VERB
easat-9393	13	18	human	human	ADJ
easat-9393	13	19	intervention	intervention	NOUN
easat-9393	13	20	,	,	PUNCT
easat-9393	13	21	and	and	CCONJ
easat-9393	13	22	enhancing	enhance	VERB
easat-9393	13	23	classification	classification	NOUN
easat-9393	13	24	reliability	reliability	NOUN
easat-9393	13	25	.	.	PUNCT
easat-9393	14	1	keywords	keyword	NOUN
easat-9393	14	2	:	:	PUNCT
easat-9393	14	3	coffee	coffee	NOUN
easat-9393	14	4	bean	bean	NOUN
easat-9393	14	5	classification	classification	NOUN
easat-9393	14	6	,	,	PUNCT
easat-9393	14	7	deep	deep	ADJ
easat-9393	14	8	learning	learning	NOUN
easat-9393	14	9	,	,	PUNCT
easat-9393	14	10	efficientnet	efficientnet	PROPN
easat-9393	14	11	,	,	PUNCT
easat-9393	14	12	resnet	resnet	NOUN
easat-9393	14	13	,	,	PUNCT
easat-9393	14	14	vgg16	vgg16	NOUN
easat-9393	14	15	,	,	PUNCT
easat-9393	14	16	xception	xception	NOUN
easat-9393	14	17	.	.	PUNCT
easat-9393	15	1	1	1	X
easat-9393	15	2	.	.	X
easat-9393	15	3	introduction	introduction	NOUN
easat-9393	15	4	coffee	coffee	NOUN
easat-9393	15	5	is	be	AUX
easat-9393	15	6	one	one	NUM
easat-9393	15	7	of	of	ADP
easat-9393	15	8	the	the	DET
easat-9393	15	9	most	most	ADV
easat-9393	15	10	consumed	consume	VERB
easat-9393	15	11	beverages	beverage	NOUN
easat-9393	15	12	globally	globally	ADV
easat-9393	15	13	,	,	PUNCT
easat-9393	15	14	with	with	ADP
easat-9393	15	15	over	over	ADP
easat-9393	15	16	2.25	2.25	NUM
easat-9393	15	17	billion	billion	NUM
easat-9393	15	18	cups	cup	NOUN
easat-9393	15	19	consumed	consume	VERB
easat-9393	15	20	daily	daily	ADV
easat-9393	15	21	[	[	X
easat-9393	15	22	1	1	NUM
easat-9393	15	23	]	]	PUNCT
easat-9393	15	24	.	.	PUNCT
easat-9393	16	1	its	its	PRON
easat-9393	16	2	production	production	NOUN
easat-9393	16	3	has	have	AUX
easat-9393	16	4	seen	see	VERB
easat-9393	16	5	significant	significant	ADJ
easat-9393	16	6	growth	growth	NOUN
easat-9393	16	7	,	,	PUNCT
easat-9393	16	8	highlighting	highlight	VERB
easat-9393	16	9	its	its	PRON
easat-9393	16	10	economic	economic	ADJ
easat-9393	16	11	importance	importance	NOUN
easat-9393	16	12	in	in	ADP
easat-9393	16	13	the	the	DET
easat-9393	16	14	agricultural	agricultural	ADJ
easat-9393	16	15	sector	sector	NOUN
easat-9393	16	16	.	.	PUNCT
easat-9393	17	1	beyond	beyond	ADP
easat-9393	17	2	its	its	PRON
easat-9393	17	3	economic	economic	ADJ
easat-9393	17	4	value	value	NOUN
easat-9393	17	5	,	,	PUNCT
easat-9393	17	6	coffee	coffee	NOUN
easat-9393	17	7	offers	offer	VERB
easat-9393	17	8	notable	notable	ADJ
easat-9393	17	9	health	health	NOUN
easat-9393	17	10	benefits	benefit	NOUN
easat-9393	17	11	,	,	PUNCT
easat-9393	17	12	such	such	ADJ
easat-9393	17	13	as	as	ADP
easat-9393	17	14	reducing	reduce	VERB
easat-9393	17	15	the	the	DET
easat-9393	17	16	risk	risk	NOUN
easat-9393	17	17	of	of	ADP
easat-9393	17	18	cirrhosis	cirrhosis	NOUN
easat-9393	17	19	and	and	CCONJ
easat-9393	17	20	improving	improve	VERB
easat-9393	17	21	heart	heart	NOUN
easat-9393	17	22	health	health	NOUN
easat-9393	18	1	[	[	X
easat-9393	18	2	2	2	NUM
easat-9393	18	3	]	]	PUNCT
easat-9393	18	4	.	.	PUNCT
easat-9393	19	1	these	these	DET
easat-9393	19	2	findings	finding	NOUN
easat-9393	19	3	emphasize	emphasize	VERB
easat-9393	19	4	the	the	DET
easat-9393	19	5	importance	importance	NOUN
easat-9393	19	6	of	of	ADP
easat-9393	19	7	maintaining	maintain	VERB
easat-9393	19	8	consistent	consistent	ADJ
easat-9393	19	9	coffee	coffee	NOUN
easat-9393	19	10	bean	bean	NOUN
easat-9393	19	11	quality	quality	NOUN
easat-9393	19	12	,	,	PUNCT
easat-9393	19	13	as	as	SCONJ
easat-9393	19	14	it	it	PRON
easat-9393	19	15	directly	directly	ADV
easat-9393	19	16	impacts	impact	VERB
easat-9393	19	17	consumer	consumer	NOUN
easat-9393	19	18	satisfaction	satisfaction	NOUN
easat-9393	19	19	and	and	CCONJ
easat-9393	19	20	producer	producer	NOUN
easat-9393	19	21	profitability	profitability	NOUN
easat-9393	19	22	.	.	PUNCT
easat-9393	20	1	deep	deep	ADJ
easat-9393	20	2	learning	learning	NOUN
easat-9393	20	3	has	have	AUX
easat-9393	20	4	gained	gain	VERB
easat-9393	20	5	significant	significant	ADJ
easat-9393	20	6	attention	attention	NOUN
easat-9393	20	7	in	in	ADP
easat-9393	20	8	the	the	DET
easat-9393	20	9	agricultural	agricultural	ADJ
easat-9393	20	10	sector	sector	NOUN
easat-9393	20	11	,	,	PUNCT
easat-9393	20	12	particularly	particularly	ADV
easat-9393	20	13	for	for	ADP
easat-9393	20	14	tasks	task	NOUN
easat-9393	20	15	like	like	ADP
easat-9393	20	16	coffee	coffee	NOUN
easat-9393	20	17	bean	bean	NOUN
easat-9393	20	18	quality	quality	NOUN
easat-9393	20	19	prediction	prediction	NOUN
easat-9393	20	20	.	.	PUNCT
easat-9393	21	1	recent	recent	ADJ
easat-9393	21	2	studies	study	NOUN
easat-9393	21	3	have	have	AUX
easat-9393	21	4	explored	explore	VERB
easat-9393	21	5	the	the	DET
easat-9393	21	6	use	use	NOUN
easat-9393	21	7	of	of	ADP
easat-9393	21	8	deep	deep	ADJ
easat-9393	21	9	learning	learning	NOUN
easat-9393	21	10	models	model	NOUN
easat-9393	21	11	to	to	PART
easat-9393	21	12	automate	automate	VERB
easat-9393	21	13	this	this	DET
easat-9393	21	14	process	process	NOUN
easat-9393	21	15	,	,	PUNCT
easat-9393	21	16	achieving	achieve	VERB
easat-9393	21	17	promising	promising	ADJ
easat-9393	21	18	results	result	NOUN
easat-9393	21	19	.	.	PUNCT
easat-9393	22	1	this	this	DET
easat-9393	22	2	section	section	NOUN
easat-9393	22	3	reviews	review	VERB
easat-9393	22	4	the	the	DET
easat-9393	22	5	most	most	ADV
easat-9393	22	6	relevant	relevant	ADJ
easat-9393	22	7	studies	study	NOUN
easat-9393	22	8	that	that	PRON
easat-9393	22	9	have	have	AUX
easat-9393	22	10	employed	employ	VERB
easat-9393	22	11	cnn	cnn	PROPN
easat-9393	22	12	,	,	PUNCT
easat-9393	22	13	resnet	resnet	NOUN
easat-9393	22	14	,	,	PUNCT
easat-9393	22	15	efficientnet	efficientnet	NOUN
easat-9393	22	16	,	,	PUNCT
easat-9393	22	17	and	and	CCONJ
easat-9393	22	18	vgg	vgg	VERB
easat-9393	22	19	for	for	ADP
easat-9393	22	20	coffee	coffee	NOUN
easat-9393	22	21	bean	bean	NOUN
easat-9393	22	22	quality	quality	NOUN
easat-9393	22	23	prediction	prediction	NOUN
easat-9393	22	24	.	.	PUNCT
easat-9393	23	1	cnns	cnns	PROPN
easat-9393	23	2	have	have	AUX
easat-9393	23	3	been	be	AUX
easat-9393	23	4	the	the	DET
easat-9393	23	5	most	most	ADV
easat-9393	23	6	widely	widely	ADV
easat-9393	23	7	used	use	VERB
easat-9393	23	8	deep	deep	ADJ
easat-9393	23	9	learning	learning	NOUN
easat-9393	23	10	models	model	NOUN
easat-9393	23	11	for	for	ADP
easat-9393	23	12	coffee	coffee	NOUN
easat-9393	23	13	bean	bean	NOUN
easat-9393	23	14	quality	quality	NOUN
easat-9393	23	15	prediction	prediction	NOUN
easat-9393	23	16	due	due	ADP
easat-9393	23	17	to	to	ADP
easat-9393	23	18	their	their	PRON
easat-9393	23	19	ability	ability	NOUN
easat-9393	23	20	to	to	PART
easat-9393	23	21	automatically	automatically	ADV
easat-9393	23	22	extract	extract	VERB
easat-9393	23	23	features	feature	NOUN
easat-9393	23	24	from	from	ADP
easat-9393	23	25	images	image	NOUN
easat-9393	23	26	[	[	X
easat-9393	23	27	3	3	NUM
easat-9393	23	28	]	]	PUNCT
easat-9393	23	29	.	.	PUNCT
easat-9393	24	1	several	several	ADJ
easat-9393	24	2	studies	study	NOUN
easat-9393	24	3	have	have	AUX
easat-9393	24	4	demonstrated	demonstrate	VERB
easat-9393	24	5	the	the	DET
easat-9393	24	6	effectiveness	effectiveness	NOUN
easat-9393	24	7	of	of	ADP
easat-9393	24	8	cnns	cnn	NOUN
easat-9393	24	9	in	in	ADP
easat-9393	24	10	tasks	task	NOUN
easat-9393	24	11	such	such	ADJ
easat-9393	24	12	as	as	ADP
easat-9393	24	13	defect	defect	ADJ
easat-9393	24	14	detection	detection	NOUN
easat-9393	24	15	,	,	PUNCT
easat-9393	24	16	roast	roast	NOUN
easat-9393	24	17	level	level	NOUN
easat-9393	24	18	classification	classification	NOUN
easat-9393	24	19	,	,	PUNCT
easat-9393	24	20	and	and	CCONJ
easat-9393	24	21	quality	quality	NOUN
easat-9393	24	22	categorization	categorization	NOUN
easat-9393	24	23	.	.	PUNCT
easat-9393	25	1	for	for	ADP
easat-9393	25	2	example	example	NOUN
easat-9393	25	3	,	,	PUNCT
easat-9393	25	4	a	a	DET
easat-9393	25	5	study	study	NOUN
easat-9393	25	6	by	by	ADP
easat-9393	25	7	lee	lee	PROPN
easat-9393	25	8	and	and	CCONJ
easat-9393	25	9	jeong	jeong	PROPN
easat-9393	26	1	[	[	X
easat-9393	26	2	4	4	X
easat-9393	26	3	]	]	PUNCT
easat-9393	26	4	in	in	ADP
easat-9393	26	5	2022	2022	NUM
easat-9393	26	6	used	use	VERB
easat-9393	26	7	a	a	DET
easat-9393	26	8	cnn	cnn	PROPN
easat-9393	26	9	model	model	NOUN
easat-9393	26	10	to	to	PART
easat-9393	26	11	predict	predict	VERB
easat-9393	26	12	defects	defect	NOUN
easat-9393	26	13	in	in	ADP
easat-9393	26	14	coffee	coffee	NOUN
easat-9393	26	15	beans	bean	NOUN
easat-9393	26	16	,	,	PUNCT
easat-9393	26	17	achieving	achieve	VERB
easat-9393	26	18	an	an	DET
easat-9393	26	19	accuracy	accuracy	NOUN
easat-9393	26	20	of	of	ADP
easat-9393	26	21	93	93	NUM
easat-9393	26	22	%	%	NOUN
easat-9393	26	23	for	for	ADP
easat-9393	26	24	normal	normal	ADJ
easat-9393	26	25	beans	bean	NOUN
easat-9393	26	26	and	and	CCONJ
easat-9393	26	27	81	81	NUM
easat-9393	26	28	%	%	NOUN
easat-9393	26	29	for	for	ADP
easat-9393	26	30	defective	defective	ADJ
easat-9393	26	31	beans	bean	NOUN
easat-9393	26	32	,	,	PUNCT
easat-9393	26	33	although	although	SCONJ
easat-9393	26	34	the	the	DET
easat-9393	26	35	dataset	dataset	NOUN
easat-9393	26	36	was	be	AUX
easat-9393	26	37	imbalanced	imbalanced	ADJ
easat-9393	26	38	.	.	PUNCT
easat-9393	27	1	another	another	DET
easat-9393	27	2	study	study	NOUN
easat-9393	27	3	by	by	ADP
easat-9393	27	4	naik	naik	PROPN
easat-9393	27	5	and	and	CCONJ
easat-9393	27	6	sethy	sethy	ADJ
easat-9393	27	7	[	[	SYM
easat-9393	27	8	5	5	NUM
easat-9393	27	9	]	]	PUNCT
easat-9393	27	10	applied	apply	VERB
easat-9393	27	11	a	a	DET
easat-9393	27	12	cnn	cnn	NOUN
easat-9393	27	13	with	with	ADP
easat-9393	27	14	a	a	DET
easat-9393	27	15	euclidean	euclidean	ADJ
easat-9393	27	16	distance	distance	NOUN
easat-9393	27	17	algorithm	algorithm	NOUN
easat-9393	27	18	to	to	PART
easat-9393	27	19	classify	classify	VERB
easat-9393	27	20	roasted	roasted	ADJ
easat-9393	27	21	coffee	coffee	NOUN
easat-9393	27	22	beans	bean	NOUN
easat-9393	27	23	into	into	ADP
easat-9393	27	24	four	four	NUM
easat-9393	27	25	roasting	roast	VERB
easat-9393	27	26	levels	level	NOUN
easat-9393	27	27	,	,	PUNCT
easat-9393	27	28	achieving	achieve	VERB
easat-9393	27	29	an	an	DET
easat-9393	27	30	impressive	impressive	ADJ
easat-9393	27	31	accuracy	accuracy	NOUN
easat-9393	27	32	of	of	ADP
easat-9393	27	33	97.5	97.5	NUM
easat-9393	27	34	%	%	NOUN
easat-9393	27	35	.	.	PUNCT
easat-9393	28	1	cnns	cnns	PROPN
easat-9393	28	2	have	have	AUX
easat-9393	28	3	also	also	ADV
easat-9393	28	4	been	be	AUX
easat-9393	28	5	used	use	VERB
easat-9393	28	6	for	for	ADP
easat-9393	28	7	categorizing	categorize	VERB
easat-9393	28	8	coffee	coffee	NOUN
easat-9393	28	9	beans	bean	NOUN
easat-9393	28	10	into	into	ADP
easat-9393	28	11	different	different	ADJ
easat-9393	28	12	quality	quality	NOUN
easat-9393	28	13	625	625	NUM
easat-9393	28	14	edelweiss	edelweiss	PROPN
easat-9393	28	15	applied	apply	VERB
easat-9393	28	16	science	science	NOUN
easat-9393	28	17	and	and	CCONJ
easat-9393	28	18	technology	technology	NOUN
easat-9393	28	19	issn	issn	PROPN
easat-9393	28	20	:	:	PUNCT
easat-9393	28	21	2576	2576	NUM
easat-9393	28	22	-	-	SYM
easat-9393	28	23	8484	8484	NUM
easat-9393	28	24	vol	vol	NOUN
easat-9393	28	25	.	.	PROPN
easat-9393	29	1	9	9	NUM
easat-9393	29	2	,	,	PUNCT
easat-9393	29	3	no	no	INTJ
easat-9393	29	4	.	.	NOUN
easat-9393	29	5	8	8	NUM
easat-9393	29	6	:	:	PUNCT
easat-9393	29	7	624	624	NUM
easat-9393	29	8	-	-	SYM
easat-9393	29	9	640	640	NUM
easat-9393	29	10	,	,	PUNCT
easat-9393	29	11	2025	2025	NUM
easat-9393	29	12	doi	doi	NOUN
easat-9393	29	13	:	:	PUNCT
easat-9393	29	14	10.55214/2576	10.55214/2576	NUM
easat-9393	29	15	-	-	SYM
easat-9393	29	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	29	17	©	©	PROPN
easat-9393	29	18	2025	2025	NUM
easat-9393	29	19	by	by	ADP
easat-9393	29	20	the	the	DET
easat-9393	29	21	authors	author	NOUN
easat-9393	29	22	;	;	PUNCT
easat-9393	29	23	licensee	licensee	PROPN
easat-9393	29	24	learning	learning	PROPN
easat-9393	29	25	gate	gate	NOUN
easat-9393	29	26	categories	category	NOUN
easat-9393	29	27	,	,	PUNCT
easat-9393	29	28	such	such	ADJ
easat-9393	29	29	as	as	ADP
easat-9393	29	30	sour	sour	ADJ
easat-9393	29	31	,	,	PUNCT
easat-9393	29	32	black	black	ADJ
easat-9393	29	33	,	,	PUNCT
easat-9393	29	34	broken	break	VERB
easat-9393	29	35	,	,	PUNCT
easat-9393	29	36	moldy	moldy	ADJ
easat-9393	29	37	,	,	PUNCT
easat-9393	29	38	and	and	CCONJ
easat-9393	29	39	insect	insect	NOUN
easat-9393	29	40	-	-	PUNCT
easat-9393	29	41	damaged	damage	VERB
easat-9393	29	42	beans	bean	NOUN
easat-9393	29	43	,	,	PUNCT
easat-9393	29	44	with	with	ADP
easat-9393	29	45	accuracies	accuracy	NOUN
easat-9393	29	46	ranging	range	VERB
easat-9393	29	47	from	from	ADP
easat-9393	29	48	88	88	NUM
easat-9393	29	49	%	%	NOUN
easat-9393	29	50	to	to	PART
easat-9393	29	51	98	98	NUM
easat-9393	29	52	%	%	NOUN
easat-9393	29	53	[	[	X
easat-9393	29	54	6	6	NUM
easat-9393	29	55	]	]	PUNCT
easat-9393	29	56	.	.	PUNCT
easat-9393	30	1	despite	despite	SCONJ
easat-9393	30	2	their	their	PRON
easat-9393	30	3	high	high	ADJ
easat-9393	30	4	accuracy	accuracy	NOUN
easat-9393	30	5	,	,	PUNCT
easat-9393	30	6	most	most	ADJ
easat-9393	30	7	cnn	cnn	NOUN
easat-9393	30	8	-	-	PUNCT
easat-9393	30	9	based	base	VERB
easat-9393	30	10	studies	study	NOUN
easat-9393	30	11	focus	focus	VERB
easat-9393	30	12	on	on	ADP
easat-9393	30	13	the	the	DET
easat-9393	30	14	pre	pre	ADJ
easat-9393	30	15	-	-	ADJ
easat-9393	30	16	roasting	roasting	ADJ
easat-9393	30	17	phase	phase	NOUN
easat-9393	30	18	,	,	PUNCT
easat-9393	30	19	particularly	particularly	ADV
easat-9393	30	20	on	on	ADP
easat-9393	30	21	identifying	identify	VERB
easat-9393	30	22	defects	defect	NOUN
easat-9393	30	23	in	in	ADP
easat-9393	30	24	green	green	ADJ
easat-9393	30	25	coffee	coffee	NOUN
easat-9393	30	26	beans	bean	NOUN
easat-9393	30	27	[	[	PUNCT
easat-9393	30	28	7	7	NUM
easat-9393	30	29	-	-	SYM
easat-9393	30	30	23	23	NUM
easat-9393	30	31	]	]	PUNCT
easat-9393	30	32	.	.	PUNCT
easat-9393	31	1	this	this	PRON
easat-9393	31	2	indicates	indicate	VERB
easat-9393	31	3	a	a	DET
easat-9393	31	4	research	research	NOUN
easat-9393	31	5	gap	gap	NOUN
easat-9393	31	6	in	in	ADP
easat-9393	31	7	applying	apply	VERB
easat-9393	31	8	cnns	cnn	NOUN
easat-9393	31	9	to	to	ADP
easat-9393	31	10	post	post	VERB
easat-9393	31	11	-	-	ADJ
easat-9393	31	12	roasting	roasting	ADJ
easat-9393	31	13	quality	quality	NOUN
easat-9393	31	14	analysis	analysis	NOUN
easat-9393	31	15	,	,	PUNCT
easat-9393	31	16	where	where	SCONJ
easat-9393	31	17	the	the	DET
easat-9393	31	18	quality	quality	NOUN
easat-9393	31	19	of	of	ADP
easat-9393	31	20	roasted	roasted	ADJ
easat-9393	31	21	beans	bean	NOUN
easat-9393	31	22	could	could	AUX
easat-9393	31	23	be	be	AUX
easat-9393	31	24	further	far	ADV
easat-9393	31	25	evaluated	evaluate	VERB
easat-9393	31	26	.	.	PUNCT
easat-9393	32	1	recently	recently	ADV
easat-9393	32	2	,	,	PUNCT
easat-9393	32	3	xception	xception	PROPN
easat-9393	32	4	has	have	AUX
easat-9393	32	5	gain	gain	VERB
easat-9393	32	6	researchers	researcher	NOUN
easat-9393	32	7	’	’	PART
easat-9393	32	8	attention	attention	NOUN
easat-9393	32	9	in	in	ADP
easat-9393	32	10	coffee	coffee	NOUN
easat-9393	32	11	bean	bean	NOUN
easat-9393	32	12	species	specie	NOUN
easat-9393	32	13	classification	classification	NOUN
easat-9393	32	14	[	[	X
easat-9393	32	15	24	24	NUM
easat-9393	32	16	]	]	PUNCT
easat-9393	32	17	.	.	PUNCT
easat-9393	33	1	efficientnet	efficientnet	PROPN
easat-9393	33	2	,	,	PUNCT
easat-9393	33	3	a	a	DET
easat-9393	33	4	family	family	NOUN
easat-9393	33	5	of	of	ADP
easat-9393	33	6	scalable	scalable	ADJ
easat-9393	33	7	and	and	CCONJ
easat-9393	33	8	efficient	efficient	ADJ
easat-9393	33	9	convolutional	convolutional	ADJ
easat-9393	33	10	neural	neural	ADJ
easat-9393	33	11	networks	network	NOUN
easat-9393	33	12	,	,	PUNCT
easat-9393	33	13	has	have	AUX
easat-9393	33	14	demonstrated	demonstrate	VERB
easat-9393	33	15	remarkable	remarkable	ADJ
easat-9393	33	16	performance	performance	NOUN
easat-9393	33	17	in	in	ADP
easat-9393	33	18	coffee	coffee	NOUN
easat-9393	33	19	bean	bean	NOUN
easat-9393	33	20	quality	quality	NOUN
easat-9393	33	21	prediction	prediction	NOUN
easat-9393	33	22	tasks	task	NOUN
easat-9393	33	23	.	.	PUNCT
easat-9393	34	1	the	the	DET
easat-9393	34	2	efficientnetv2s	efficientnetv2s	ADJ
easat-9393	34	3	variant	variant	NOUN
easat-9393	34	4	,	,	PUNCT
easat-9393	34	5	in	in	ADP
easat-9393	34	6	particular	particular	ADJ
easat-9393	34	7	,	,	PUNCT
easat-9393	34	8	achieved	achieve	VERB
easat-9393	34	9	extremely	extremely	ADV
easat-9393	34	10	high	high	ADJ
easat-9393	34	11	accuracy	accuracy	NOUN
easat-9393	34	12	in	in	ADP
easat-9393	34	13	defect	defect	ADJ
easat-9393	34	14	detection	detection	NOUN
easat-9393	34	15	,	,	PUNCT
easat-9393	34	16	with	with	ADP
easat-9393	34	17	accuracies	accuracy	NOUN
easat-9393	34	18	ranging	range	VERB
easat-9393	34	19	from	from	ADP
easat-9393	34	20	96	96	NUM
easat-9393	34	21	%	%	NOUN
easat-9393	34	22	to	to	ADP
easat-9393	34	23	99.77	99.77	NUM
easat-9393	34	24	%	%	NOUN
easat-9393	34	25	for	for	ADP
easat-9393	34	26	detecting	detect	VERB
easat-9393	34	27	insect	insect	NOUN
easat-9393	34	28	-	-	PUNCT
easat-9393	34	29	infested	infest	VERB
easat-9393	34	30	,	,	PUNCT
easat-9393	34	31	broken	break	VERB
easat-9393	34	32	,	,	PUNCT
easat-9393	34	33	and	and	CCONJ
easat-9393	34	34	moldy	moldy	ADJ
easat-9393	34	35	beans	bean	NOUN
easat-9393	34	36	[	[	X
easat-9393	34	37	12	12	NUM
easat-9393	34	38	]	]	PUNCT
easat-9393	34	39	.	.	PUNCT
easat-9393	35	1	efficientnet	efficientnet	PROPN
easat-9393	35	2	also	also	ADV
easat-9393	35	3	performed	perform	VERB
easat-9393	35	4	well	well	ADV
easat-9393	35	5	in	in	ADP
easat-9393	35	6	roast	roast	NOUN
easat-9393	35	7	level	level	NOUN
easat-9393	35	8	classification	classification	NOUN
easat-9393	35	9	,	,	PUNCT
easat-9393	35	10	achieving	achieve	VERB
easat-9393	35	11	95.79	95.79	NUM
easat-9393	35	12	%	%	NOUN
easat-9393	35	13	accuracy	accuracy	NOUN
easat-9393	35	14	in	in	ADP
easat-9393	35	15	a	a	DET
easat-9393	35	16	2024	2024	NUM
easat-9393	35	17	study	study	NOUN
easat-9393	35	18	[	[	X
easat-9393	35	19	11	11	NUM
easat-9393	35	20	]	]	PUNCT
easat-9393	35	21	.	.	PUNCT
easat-9393	36	1	however	however	ADV
easat-9393	36	2	,	,	PUNCT
easat-9393	36	3	the	the	DET
easat-9393	36	4	model	model	NOUN
easat-9393	36	5	's	's	PART
easat-9393	36	6	performance	performance	NOUN
easat-9393	36	7	in	in	ADP
easat-9393	36	8	measuring	measure	VERB
easat-9393	36	9	acidity	acidity	NOUN
easat-9393	36	10	from	from	ADP
easat-9393	36	11	roasted	roasted	ADJ
easat-9393	36	12	coffee	coffee	NOUN
easat-9393	36	13	beans	bean	NOUN
easat-9393	36	14	has	have	VERB
easat-9393	36	15	an	an	DET
easat-9393	36	16	f1	f1	ADJ
easat-9393	36	17	score	score	NOUN
easat-9393	36	18	of	of	ADP
easat-9393	36	19	0.71	0.71	NUM
easat-9393	36	20	only	only	ADV
easat-9393	36	21	[	[	X
easat-9393	36	22	16	16	NUM
easat-9393	36	23	]	]	PUNCT
easat-9393	36	24	.	.	PUNCT
easat-9393	37	1	resnets	resnet	NOUN
easat-9393	37	2	,	,	PUNCT
easat-9393	37	3	known	know	VERB
easat-9393	37	4	for	for	ADP
easat-9393	37	5	their	their	PRON
easat-9393	37	6	skip	skip	ADJ
easat-9393	37	7	connections	connection	NOUN
easat-9393	37	8	that	that	PRON
easat-9393	37	9	enable	enable	VERB
easat-9393	37	10	the	the	DET
easat-9393	37	11	training	training	NOUN
easat-9393	37	12	of	of	ADP
easat-9393	37	13	very	very	ADV
easat-9393	37	14	deep	deep	ADJ
easat-9393	37	15	networks	network	NOUN
easat-9393	37	16	,	,	PUNCT
easat-9393	37	17	have	have	AUX
easat-9393	37	18	also	also	ADV
easat-9393	37	19	been	be	AUX
easat-9393	37	20	applied	apply	VERB
easat-9393	37	21	to	to	ADP
easat-9393	37	22	coffee	coffee	NOUN
easat-9393	37	23	bean	bean	NOUN
easat-9393	37	24	quality	quality	NOUN
easat-9393	37	25	prediction	prediction	NOUN
easat-9393	37	26	.	.	PUNCT
easat-9393	38	1	resnets	resnet	NOUN
easat-9393	38	2	have	have	AUX
easat-9393	38	3	shown	show	VERB
easat-9393	38	4	high	high	ADJ
easat-9393	38	5	accuracy	accuracy	NOUN
easat-9393	38	6	in	in	ADP
easat-9393	38	7	defect	defect	NOUN
easat-9393	38	8	detection	detection	NOUN
easat-9393	38	9	tasks	task	NOUN
easat-9393	38	10	.	.	PUNCT
easat-9393	39	1	for	for	ADP
easat-9393	39	2	instance	instance	NOUN
easat-9393	39	3	,	,	PUNCT
easat-9393	39	4	resnet50v2	resnet50v2	PROPN
easat-9393	39	5	achieved	achieve	VERB
easat-9393	39	6	99.54	99.54	NUM
easat-9393	39	7	%	%	NOUN
easat-9393	39	8	accuracy	accuracy	NOUN
easat-9393	39	9	in	in	ADP
easat-9393	39	10	detecting	detect	VERB
easat-9393	39	11	insect	insect	NOUN
easat-9393	39	12	-	-	PUNCT
easat-9393	39	13	infested	infest	VERB
easat-9393	39	14	beans	bean	NOUN
easat-9393	39	15	,	,	PUNCT
easat-9393	39	16	98.86	98.86	NUM
easat-9393	39	17	%	%	NOUN
easat-9393	39	18	for	for	ADP
easat-9393	39	19	broken	broken	ADJ
easat-9393	39	20	beans	bean	NOUN
easat-9393	39	21	,	,	PUNCT
easat-9393	39	22	and	and	CCONJ
easat-9393	39	23	98.07	98.07	NUM
easat-9393	39	24	%	%	NOUN
easat-9393	39	25	for	for	ADP
easat-9393	39	26	moldy	moldy	ADJ
easat-9393	39	27	beans	bean	NOUN
easat-9393	39	28	[	[	X
easat-9393	39	29	12	12	NUM
easat-9393	39	30	]	]	PUNCT
easat-9393	39	31	.	.	PUNCT
easat-9393	40	1	however	however	ADV
easat-9393	40	2	,	,	PUNCT
easat-9393	40	3	resnets	resnet	NOUN
easat-9393	40	4	have	have	AUX
easat-9393	40	5	struggled	struggle	VERB
easat-9393	40	6	with	with	ADP
easat-9393	40	7	roast	roast	NOUN
easat-9393	40	8	level	level	NOUN
easat-9393	40	9	classification	classification	NOUN
easat-9393	40	10	tasks	task	NOUN
easat-9393	40	11	.	.	PUNCT
easat-9393	41	1	a	a	DET
easat-9393	41	2	2024	2024	NUM
easat-9393	41	3	study	study	NOUN
easat-9393	41	4	by	by	ADP
easat-9393	41	5	hassan	hassan	PROPN
easat-9393	42	1	[	[	X
easat-9393	42	2	11	11	NUM
easat-9393	42	3	]	]	PUNCT
easat-9393	42	4	using	use	VERB
easat-9393	42	5	resnet50	resnet50	NOUN
easat-9393	42	6	to	to	PART
easat-9393	42	7	classify	classify	VERB
easat-9393	42	8	coffee	coffee	NOUN
easat-9393	42	9	beans	bean	NOUN
easat-9393	42	10	based	base	VERB
easat-9393	42	11	on	on	ADP
easat-9393	42	12	four	four	NUM
easat-9393	42	13	degrees	degree	NOUN
easat-9393	42	14	of	of	ADP
easat-9393	42	15	roasting	roasting	NOUN
easat-9393	42	16	achieved	achieve	VERB
easat-9393	42	17	only	only	ADV
easat-9393	42	18	58.05	58.05	NUM
easat-9393	42	19	%	%	NOUN
easat-9393	42	20	accuracy	accuracy	NOUN
easat-9393	42	21	,	,	PUNCT
easat-9393	42	22	highlighting	highlight	VERB
easat-9393	42	23	a	a	DET
easat-9393	42	24	significant	significant	ADJ
easat-9393	42	25	research	research	NOUN
easat-9393	42	26	gap	gap	NOUN
easat-9393	42	27	in	in	ADP
easat-9393	42	28	this	this	DET
easat-9393	42	29	area	area	NOUN
easat-9393	42	30	.	.	PUNCT
easat-9393	43	1	this	this	PRON
easat-9393	43	2	suggests	suggest	VERB
easat-9393	43	3	that	that	SCONJ
easat-9393	43	4	while	while	SCONJ
easat-9393	43	5	resnets	resnet	NOUN
easat-9393	43	6	are	be	AUX
easat-9393	43	7	highly	highly	ADV
easat-9393	43	8	effective	effective	ADJ
easat-9393	43	9	for	for	ADP
easat-9393	43	10	defect	defect	ADJ
easat-9393	43	11	detection	detection	NOUN
easat-9393	43	12	,	,	PUNCT
easat-9393	43	13	further	further	ADJ
easat-9393	43	14	improvements	improvement	NOUN
easat-9393	43	15	are	be	AUX
easat-9393	43	16	needed	need	VERB
easat-9393	43	17	for	for	ADP
easat-9393	43	18	roast	roast	NOUN
easat-9393	43	19	level	level	NOUN
easat-9393	43	20	classification	classification	NOUN
easat-9393	43	21	.	.	PUNCT
easat-9393	44	1	vgg	vgg	PROPN
easat-9393	44	2	models	model	NOUN
easat-9393	44	3	,	,	PUNCT
easat-9393	44	4	known	know	VERB
easat-9393	44	5	for	for	ADP
easat-9393	44	6	their	their	PRON
easat-9393	44	7	simplicity	simplicity	NOUN
easat-9393	44	8	and	and	CCONJ
easat-9393	44	9	effectiveness	effectiveness	NOUN
easat-9393	44	10	in	in	ADP
easat-9393	44	11	image	image	NOUN
easat-9393	44	12	classification	classification	NOUN
easat-9393	44	13	tasks	task	NOUN
easat-9393	44	14	,	,	PUNCT
easat-9393	44	15	have	have	AUX
easat-9393	44	16	also	also	ADV
easat-9393	44	17	been	be	AUX
easat-9393	44	18	applied	apply	VERB
easat-9393	44	19	to	to	ADP
easat-9393	44	20	coffee	coffee	NOUN
easat-9393	44	21	bean	bean	NOUN
easat-9393	44	22	quality	quality	NOUN
easat-9393	44	23	prediction	prediction	NOUN
easat-9393	44	24	.	.	PUNCT
easat-9393	45	1	vgg	vgg	PROPN
easat-9393	45	2	models	model	NOUN
easat-9393	45	3	have	have	AUX
easat-9393	45	4	shown	show	VERB
easat-9393	45	5	exceptional	exceptional	ADJ
easat-9393	45	6	performance	performance	NOUN
easat-9393	45	7	in	in	ADP
easat-9393	45	8	roast	roast	NOUN
easat-9393	45	9	level	level	NOUN
easat-9393	45	10	classification	classification	NOUN
easat-9393	45	11	,	,	PUNCT
easat-9393	45	12	with	with	ADP
easat-9393	45	13	one	one	NUM
easat-9393	45	14	study	study	NOUN
easat-9393	45	15	achieving	achieve	VERB
easat-9393	45	16	100	100	NUM
easat-9393	45	17	%	%	NOUN
easat-9393	45	18	accuracy	accuracy	NOUN
easat-9393	45	19	in	in	ADP
easat-9393	45	20	classifying	classify	VERB
easat-9393	45	21	coffee	coffee	NOUN
easat-9393	45	22	beans	bean	NOUN
easat-9393	45	23	based	base	VERB
easat-9393	45	24	on	on	ADP
easat-9393	45	25	four	four	NUM
easat-9393	45	26	degrees	degree	NOUN
easat-9393	45	27	of	of	ADP
easat-9393	45	28	roasting	roast	VERB
easat-9393	45	29	[	[	X
easat-9393	45	30	11	11	NUM
easat-9393	45	31	]	]	PUNCT
easat-9393	45	32	.	.	PUNCT
easat-9393	46	1	vgg16	vgg16	PROPN
easat-9393	46	2	has	have	AUX
easat-9393	46	3	also	also	ADV
easat-9393	46	4	been	be	AUX
easat-9393	46	5	used	use	VERB
easat-9393	46	6	for	for	ADP
easat-9393	46	7	defect	defect	ADJ
easat-9393	46	8	detection	detection	NOUN
easat-9393	46	9	in	in	ADP
easat-9393	46	10	green	green	ADJ
easat-9393	46	11	coffee	coffee	NOUN
easat-9393	46	12	beans	bean	NOUN
easat-9393	46	13	,	,	PUNCT
easat-9393	46	14	achieving	achieve	VERB
easat-9393	46	15	accuracies	accuracy	NOUN
easat-9393	46	16	ranging	range	VERB
easat-9393	46	17	from	from	ADP
easat-9393	46	18	81	81	NUM
easat-9393	46	19	%	%	NOUN
easat-9393	46	20	to	to	ADP
easat-9393	46	21	97	97	NUM
easat-9393	46	22	%	%	NOUN
easat-9393	46	23	[	[	X
easat-9393	46	24	10	10	NUM
easat-9393	46	25	-	-	SYM
easat-9393	46	26	20	20	NUM
easat-9393	46	27	]	]	PUNCT
easat-9393	46	28	.	.	PUNCT
easat-9393	47	1	however	however	ADV
easat-9393	47	2	,	,	PUNCT
easat-9393	47	3	most	most	ADJ
easat-9393	47	4	studies	study	NOUN
easat-9393	47	5	using	use	VERB
easat-9393	47	6	vgg	vgg	NOUN
easat-9393	47	7	models	model	NOUN
easat-9393	47	8	have	have	AUX
easat-9393	47	9	focused	focus	VERB
easat-9393	47	10	on	on	ADP
easat-9393	47	11	pre	pre	ADJ
easat-9393	47	12	-	-	ADJ
easat-9393	47	13	roasting	roasting	ADJ
easat-9393	47	14	applications	application	NOUN
easat-9393	47	15	,	,	PUNCT
easat-9393	47	16	leaving	leave	VERB
easat-9393	47	17	a	a	DET
easat-9393	47	18	gap	gap	NOUN
easat-9393	47	19	in	in	ADP
easat-9393	47	20	research	research	NOUN
easat-9393	47	21	for	for	ADP
easat-9393	47	22	post	post	ADJ
easat-9393	47	23	-	-	ADJ
easat-9393	47	24	roasting	roasting	ADJ
easat-9393	47	25	quality	quality	NOUN
easat-9393	47	26	analysis	analysis	NOUN
easat-9393	47	27	.	.	PUNCT
easat-9393	48	1	the	the	DET
easat-9393	48	2	review	review	NOUN
easat-9393	48	3	of	of	ADP
easat-9393	48	4	the	the	DET
easat-9393	48	5	different	different	ADJ
easat-9393	48	6	deep	deep	ADJ
easat-9393	48	7	learning	learning	NOUN
easat-9393	48	8	models	model	NOUN
easat-9393	48	9	demonstrates	demonstrate	VERB
easat-9393	48	10	their	their	PRON
easat-9393	48	11	effectiveness	effectiveness	NOUN
easat-9393	48	12	in	in	ADP
easat-9393	48	13	various	various	ADJ
easat-9393	48	14	tasks	task	NOUN
easat-9393	48	15	related	relate	VERB
easat-9393	48	16	to	to	ADP
easat-9393	48	17	coffee	coffee	NOUN
easat-9393	48	18	bean	bean	NOUN
easat-9393	48	19	quality	quality	NOUN
easat-9393	48	20	prediction	prediction	NOUN
easat-9393	48	21	.	.	PUNCT
easat-9393	49	1	cnns	cnn	NOUN
easat-9393	49	2	and	and	CCONJ
easat-9393	49	3	resnets	resnet	NOUN
easat-9393	49	4	have	have	AUX
easat-9393	49	5	shown	show	VERB
easat-9393	49	6	high	high	ADJ
easat-9393	49	7	accuracy	accuracy	NOUN
easat-9393	49	8	in	in	ADP
easat-9393	49	9	defect	defect	NOUN
easat-9393	49	10	detection	detection	NOUN
easat-9393	49	11	and	and	CCONJ
easat-9393	49	12	quality	quality	NOUN
easat-9393	49	13	categorization	categorization	NOUN
easat-9393	49	14	,	,	PUNCT
easat-9393	49	15	while	while	SCONJ
easat-9393	49	16	efficientnet	efficientnet	NOUN
easat-9393	49	17	and	and	CCONJ
easat-9393	49	18	vgg	vgg	NOUN
easat-9393	49	19	have	have	AUX
easat-9393	49	20	excelled	excel	VERB
easat-9393	49	21	in	in	ADP
easat-9393	49	22	roast	roast	NOUN
easat-9393	49	23	level	level	NOUN
easat-9393	49	24	classification	classification	NOUN
easat-9393	49	25	and	and	CCONJ
easat-9393	49	26	defect	defect	NOUN
easat-9393	49	27	detection	detection	NOUN
easat-9393	49	28	.	.	PUNCT
easat-9393	50	1	however	however	ADV
easat-9393	50	2	,	,	PUNCT
easat-9393	50	3	there	there	PRON
easat-9393	50	4	are	be	VERB
easat-9393	50	5	still	still	ADV
easat-9393	50	6	research	research	NOUN
easat-9393	50	7	gaps	gap	NOUN
easat-9393	50	8	,	,	PUNCT
easat-9393	50	9	particularly	particularly	ADV
easat-9393	50	10	in	in	ADP
easat-9393	50	11	the	the	DET
easat-9393	50	12	post	post	ADJ
easat-9393	50	13	-	-	ADJ
easat-9393	50	14	roasting	roasting	ADJ
easat-9393	50	15	phase	phase	NOUN
easat-9393	50	16	,	,	PUNCT
easat-9393	50	17	where	where	SCONJ
easat-9393	50	18	further	further	ADJ
easat-9393	50	19	improvements	improvement	NOUN
easat-9393	50	20	and	and	CCONJ
easat-9393	50	21	applications	application	NOUN
easat-9393	50	22	of	of	ADP
easat-9393	50	23	these	these	DET
easat-9393	50	24	models	model	NOUN
easat-9393	50	25	could	could	AUX
easat-9393	50	26	be	be	AUX
easat-9393	50	27	explored	explore	VERB
easat-9393	50	28	.	.	PUNCT
easat-9393	51	1	future	future	ADJ
easat-9393	51	2	research	research	NOUN
easat-9393	51	3	could	could	AUX
easat-9393	51	4	focus	focus	VERB
easat-9393	51	5	on	on	ADP
easat-9393	51	6	enhancing	enhance	VERB
easat-9393	51	7	the	the	DET
easat-9393	51	8	performance	performance	NOUN
easat-9393	51	9	of	of	ADP
easat-9393	51	10	these	these	DET
easat-9393	51	11	models	model	NOUN
easat-9393	51	12	in	in	ADP
easat-9393	51	13	roast	roast	NOUN
easat-9393	51	14	level	level	NOUN
easat-9393	51	15	classification	classification	NOUN
easat-9393	51	16	and	and	CCONJ
easat-9393	51	17	extending	extend	VERB
easat-9393	51	18	their	their	PRON
easat-9393	51	19	application	application	NOUN
easat-9393	51	20	to	to	ADP
easat-9393	51	21	post	post	VERB
easat-9393	51	22	-	-	ADJ
easat-9393	51	23	roasting	roasting	ADJ
easat-9393	51	24	quality	quality	NOUN
easat-9393	51	25	analysis	analysis	NOUN
easat-9393	51	26	.	.	PUNCT
easat-9393	52	1	2	2	X
easat-9393	52	2	.	.	X
easat-9393	52	3	methodology	methodology	NOUN
easat-9393	52	4	this	this	DET
easat-9393	52	5	study	study	NOUN
easat-9393	52	6	aims	aim	VERB
easat-9393	52	7	to	to	PART
easat-9393	52	8	evaluate	evaluate	VERB
easat-9393	52	9	and	and	CCONJ
easat-9393	52	10	compare	compare	VERB
easat-9393	52	11	the	the	DET
easat-9393	52	12	performance	performance	NOUN
easat-9393	52	13	of	of	ADP
easat-9393	52	14	four	four	NUM
easat-9393	52	15	deep	deep	ADJ
easat-9393	52	16	learning	learning	NOUN
easat-9393	52	17	models	model	NOUN
easat-9393	52	18	:	:	PUNCT
easat-9393	52	19	xception	xception	NOUN
easat-9393	52	20	,	,	PUNCT
easat-9393	52	21	efficientnetb0	efficientnetb0	PROPN
easat-9393	52	22	,	,	PUNCT
easat-9393	52	23	resnet50v2	resnet50v2	NOUN
easat-9393	52	24	,	,	PUNCT
easat-9393	52	25	and	and	CCONJ
easat-9393	52	26	vgg16	vgg16	PROPN
easat-9393	52	27	,	,	PUNCT
easat-9393	52	28	for	for	ADP
easat-9393	52	29	predicting	predict	VERB
easat-9393	52	30	coffee	coffee	NOUN
easat-9393	52	31	bean	bean	NOUN
easat-9393	52	32	quality	quality	NOUN
easat-9393	52	33	based	base	VERB
easat-9393	52	34	on	on	ADP
easat-9393	52	35	roast	roast	NOUN
easat-9393	52	36	levels	level	NOUN
easat-9393	52	37	.	.	PUNCT
easat-9393	53	1	the	the	DET
easat-9393	53	2	methodology	methodology	NOUN
easat-9393	53	3	involves	involve	VERB
easat-9393	53	4	three	three	NUM
easat-9393	53	5	key	key	ADJ
easat-9393	53	6	phases	phase	NOUN
easat-9393	53	7	:	:	PUNCT
easat-9393	53	8	dataset	dataset	ADJ
easat-9393	53	9	preparation	preparation	NOUN
easat-9393	53	10	,	,	PUNCT
easat-9393	53	11	model	model	NOUN
easat-9393	53	12	implementation	implementation	NOUN
easat-9393	53	13	,	,	PUNCT
easat-9393	53	14	and	and	CCONJ
easat-9393	53	15	performance	performance	NOUN
easat-9393	53	16	evaluation	evaluation	NOUN
easat-9393	53	17	.	.	PUNCT
easat-9393	54	1	two	two	NUM
easat-9393	54	2	datasets	dataset	NOUN
easat-9393	54	3	were	be	AUX
easat-9393	54	4	utilized	utilize	VERB
easat-9393	54	5	to	to	PART
easat-9393	54	6	train	train	VERB
easat-9393	54	7	and	and	CCONJ
easat-9393	54	8	test	test	VERB
easat-9393	54	9	the	the	DET
easat-9393	54	10	models	model	NOUN
easat-9393	54	11	,	,	PUNCT
easat-9393	54	12	focusing	focus	VERB
easat-9393	54	13	on	on	ADP
easat-9393	54	14	four	four	NUM
easat-9393	54	15	roast	roast	NOUN
easat-9393	54	16	levels	level	NOUN
easat-9393	54	17	:	:	PUNCT
easat-9393	54	18	green	green	ADJ
easat-9393	54	19	,	,	PUNCT
easat-9393	54	20	light	light	ADJ
easat-9393	54	21	,	,	PUNCT
easat-9393	54	22	medium	medium	ADJ
easat-9393	54	23	,	,	PUNCT
easat-9393	54	24	and	and	CCONJ
easat-9393	54	25	dark	dark	ADJ
easat-9393	54	26	.	.	PUNCT
easat-9393	55	1	2.1	2.1	NUM
easat-9393	55	2	.	.	PUNCT
easat-9393	55	3	datasets	dataset	NOUN
easat-9393	55	4	besides	besides	SCONJ
easat-9393	55	5	the	the	DET
easat-9393	55	6	public	public	ADJ
easat-9393	55	7	available	available	ADJ
easat-9393	55	8	kaggle	kaggle	PROPN
easat-9393	55	9	dataset	dataset	NOUN
easat-9393	55	10	,	,	PUNCT
easat-9393	55	11	a	a	DET
easat-9393	55	12	separate	separate	ADJ
easat-9393	55	13	dataset	dataset	NOUN
easat-9393	55	14	has	have	AUX
easat-9393	55	15	been	be	AUX
easat-9393	55	16	developed	develop	VERB
easat-9393	55	17	and	and	CCONJ
easat-9393	55	18	used	use	VERB
easat-9393	55	19	in	in	ADP
easat-9393	55	20	this	this	DET
easat-9393	55	21	study	study	NOUN
easat-9393	55	22	.	.	PUNCT
easat-9393	56	1	kaggle	kaggle	PROPN
easat-9393	56	2	dataset	dataset	PROPN
easat-9393	56	3	:	:	PUNCT
easat-9393	56	4	this	this	DET
easat-9393	56	5	dataset	dataset	NOUN
easat-9393	56	6	consists	consist	VERB
easat-9393	56	7	of	of	ADP
easat-9393	56	8	1,600	1,600	NUM
easat-9393	56	9	images	image	NOUN
easat-9393	56	10	of	of	ADP
easat-9393	56	11	coffee	coffee	NOUN
easat-9393	56	12	beans	bean	NOUN
easat-9393	56	13	at	at	ADP
easat-9393	56	14	four	four	NUM
easat-9393	56	15	roast	roast	NOUN
easat-9393	56	16	levels	level	NOUN
easat-9393	56	17	.	.	PUNCT
easat-9393	57	1	the	the	DET
easat-9393	57	2	images	image	NOUN
easat-9393	57	3	were	be	AUX
easat-9393	57	4	captured	capture	VERB
easat-9393	57	5	using	use	VERB
easat-9393	57	6	an	an	DET
easat-9393	57	7	iphone	iphone	NOUN
easat-9393	57	8	12	12	NUM
easat-9393	57	9	with	with	ADP
easat-9393	57	10	a	a	DET
easat-9393	57	11	resolution	resolution	NOUN
easat-9393	57	12	of	of	ADP
easat-9393	57	13	3024×3032	3024×3032	NUM
easat-9393	57	14	pixels	pixel	NOUN
easat-9393	57	15	and	and	CCONJ
easat-9393	57	16	resized	resize	VERB
easat-9393	57	17	to	to	ADP
easat-9393	57	18	224×224	224×224	NUM
easat-9393	57	19	pixels	pixel	NOUN
easat-9393	57	20	for	for	ADP
easat-9393	57	21	consistency	consistency	NOUN
easat-9393	57	22	.	.	PUNCT
easat-9393	58	1	the	the	DET
easat-9393	58	2	dataset	dataset	NOUN
easat-9393	58	3	was	be	AUX
easat-9393	58	4	divided	divide	VERB
easat-9393	58	5	into	into	ADP
easat-9393	58	6	80	80	NUM
easat-9393	58	7	%	%	NOUN
easat-9393	58	8	for	for	ADP
easat-9393	58	9	training	training	NOUN
easat-9393	58	10	and	and	CCONJ
easat-9393	58	11	validation	validation	NOUN
easat-9393	58	12	and	and	CCONJ
easat-9393	58	13	20	20	NUM
easat-9393	58	14	%	%	NOUN
easat-9393	58	15	for	for	ADP
easat-9393	58	16	testing	testing	NOUN
easat-9393	58	17	[	[	X
easat-9393	58	18	25	25	NUM
easat-9393	58	19	]	]	PUNCT
easat-9393	58	20	.	.	PUNCT
easat-9393	59	1	626	626	NUM
easat-9393	59	2	edelweiss	edelweiss	PROPN
easat-9393	59	3	applied	apply	VERB
easat-9393	59	4	science	science	NOUN
easat-9393	59	5	and	and	CCONJ
easat-9393	59	6	technology	technology	NOUN
easat-9393	59	7	issn	issn	PROPN
easat-9393	59	8	:	:	PUNCT
easat-9393	59	9	2576	2576	NUM
easat-9393	59	10	-	-	SYM
easat-9393	59	11	8484	8484	NUM
easat-9393	59	12	vol	vol	NOUN
easat-9393	59	13	.	.	PROPN
easat-9393	60	1	9	9	NUM
easat-9393	60	2	,	,	PUNCT
easat-9393	60	3	no	no	INTJ
easat-9393	60	4	.	.	NOUN
easat-9393	60	5	8	8	NUM
easat-9393	60	6	:	:	PUNCT
easat-9393	60	7	624	624	NUM
easat-9393	60	8	-	-	SYM
easat-9393	60	9	640	640	NUM
easat-9393	60	10	,	,	PUNCT
easat-9393	60	11	2025	2025	NUM
easat-9393	60	12	doi	doi	NOUN
easat-9393	60	13	:	:	PUNCT
easat-9393	60	14	10.55214/2576	10.55214/2576	NUM
easat-9393	60	15	-	-	SYM
easat-9393	60	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	60	17	©	©	PROPN
easat-9393	60	18	2025	2025	NUM
easat-9393	60	19	by	by	ADP
easat-9393	60	20	the	the	DET
easat-9393	60	21	authors	author	NOUN
easat-9393	60	22	;	;	PUNCT
easat-9393	60	23	licensee	licensee	PROPN
easat-9393	60	24	learning	learning	NOUN
easat-9393	60	25	gate	gate	NOUN
easat-9393	60	26	self	self	NOUN
easat-9393	60	27	-	-	PUNCT
easat-9393	60	28	collected	collect	VERB
easat-9393	60	29	dataset	dataset	NOUN
easat-9393	60	30	:	:	PUNCT
easat-9393	60	31	this	this	DET
easat-9393	60	32	dataset	dataset	NOUN
easat-9393	60	33	contains	contain	VERB
easat-9393	60	34	2,140	2,140	NUM
easat-9393	60	35	images	image	NOUN
easat-9393	60	36	of	of	ADP
easat-9393	60	37	coffee	coffee	NOUN
easat-9393	60	38	beans	bean	NOUN
easat-9393	60	39	at	at	ADP
easat-9393	60	40	four	four	NUM
easat-9393	60	41	roast	roast	NOUN
easat-9393	60	42	levels	level	NOUN
easat-9393	60	43	.	.	PUNCT
easat-9393	61	1	the	the	DET
easat-9393	61	2	processes	process	NOUN
easat-9393	61	3	of	of	ADP
easat-9393	61	4	collecting	collect	VERB
easat-9393	61	5	this	this	DET
easat-9393	61	6	dataset	dataset	NOUN
easat-9393	61	7	involve	involve	VERB
easat-9393	61	8	several	several	ADJ
easat-9393	61	9	steps	step	NOUN
easat-9393	61	10	as	as	SCONJ
easat-9393	61	11	shown	show	VERB
easat-9393	61	12	in	in	ADP
easat-9393	61	13	figure	figure	NOUN
easat-9393	61	14	1	1	NUM
easat-9393	61	15	.	.	PUNCT
easat-9393	61	16	figure	figure	NOUN
easat-9393	61	17	1	1	NUM
easat-9393	61	18	.	.	PUNCT
easat-9393	61	19	data	datum	NOUN
easat-9393	61	20	collection	collection	NOUN
easat-9393	61	21	process	process	NOUN
easat-9393	61	22	.	.	PUNCT
easat-9393	62	1	firstly	firstly	ADV
easat-9393	62	2	,	,	PUNCT
easat-9393	62	3	the	the	DET
easat-9393	62	4	coffee	coffee	NOUN
easat-9393	62	5	beans	bean	NOUN
easat-9393	62	6	were	be	AUX
easat-9393	62	7	roasted	roast	VERB
easat-9393	62	8	using	use	VERB
easat-9393	62	9	an	an	DET
easat-9393	62	10	oven	oven	NOUN
easat-9393	62	11	to	to	PART
easat-9393	62	12	achieve	achieve	VERB
easat-9393	62	13	three	three	NUM
easat-9393	62	14	desired	desire	VERB
easat-9393	62	15	roast	roast	NOUN
easat-9393	62	16	levels	level	NOUN
easat-9393	62	17	:	:	PUNCT
easat-9393	62	18	light	light	ADJ
easat-9393	62	19	,	,	PUNCT
easat-9393	62	20	medium	medium	ADJ
easat-9393	62	21	,	,	PUNCT
easat-9393	62	22	and	and	CCONJ
easat-9393	62	23	dark	dark	ADJ
easat-9393	62	24	.	.	PUNCT
easat-9393	63	1	the	the	DET
easat-9393	63	2	roasting	roast	VERB
easat-9393	63	3	duration	duration	NOUN
easat-9393	63	4	was	be	AUX
easat-9393	63	5	carefully	carefully	ADV
easat-9393	63	6	controlled	control	VERB
easat-9393	63	7	to	to	PART
easat-9393	63	8	ensure	ensure	VERB
easat-9393	63	9	consistency	consistency	NOUN
easat-9393	63	10	across	across	ADP
easat-9393	63	11	batches	batch	NOUN
easat-9393	63	12	.	.	PUNCT
easat-9393	64	1	after	after	ADP
easat-9393	64	2	roasting	roast	VERB
easat-9393	64	3	,	,	PUNCT
easat-9393	64	4	the	the	DET
easat-9393	64	5	coffee	coffee	NOUN
easat-9393	64	6	beans	bean	NOUN
easat-9393	64	7	were	be	AUX
easat-9393	64	8	arranged	arrange	VERB
easat-9393	64	9	systematically	systematically	ADV
easat-9393	64	10	on	on	ADP
easat-9393	64	11	a	a	DET
easat-9393	64	12	flatbed	flatbed	ADJ
easat-9393	64	13	scanner	scanner	NOUN
easat-9393	64	14	to	to	PART
easat-9393	64	15	capture	capture	VERB
easat-9393	64	16	highresolution	highresolution	NOUN
easat-9393	64	17	images	image	NOUN
easat-9393	64	18	[	[	X
easat-9393	64	19	24	24	NUM
easat-9393	64	20	,	,	PUNCT
easat-9393	64	21	25	25	NUM
easat-9393	64	22	]	]	PUNCT
easat-9393	64	23	.	.	PUNCT
easat-9393	65	1	the	the	DET
easat-9393	65	2	scanned	scan	VERB
easat-9393	65	3	images	image	NOUN
easat-9393	65	4	were	be	AUX
easat-9393	65	5	processed	process	VERB
easat-9393	65	6	using	use	VERB
easat-9393	65	7	an	an	DET
easat-9393	65	8	online	online	ADJ
easat-9393	65	9	image	image	NOUN
easat-9393	65	10	editing	edit	VERB
easat-9393	65	11	tool	tool	NOUN
easat-9393	65	12	,	,	PUNCT
easat-9393	65	13	such	such	ADJ
easat-9393	65	14	as	as	ADP
easat-9393	65	15	imagestool	imagestool	NOUN
easat-9393	65	16	,	,	PUNCT
easat-9393	65	17	to	to	PART
easat-9393	65	18	separate	separate	VERB
easat-9393	65	19	individual	individual	ADJ
easat-9393	65	20	coffee	coffee	NOUN
easat-9393	65	21	beans	bean	NOUN
easat-9393	65	22	efficiently	efficiently	ADV
easat-9393	65	23	.	.	PUNCT
easat-9393	66	1	this	this	DET
easat-9393	66	2	tool	tool	NOUN
easat-9393	66	3	significantly	significantly	ADV
easat-9393	66	4	accelerated	accelerate	VERB
easat-9393	66	5	the	the	DET
easat-9393	66	6	image	image	NOUN
easat-9393	66	7	cropping	cropping	NOUN
easat-9393	66	8	process	process	NOUN
easat-9393	66	9	.	.	PUNCT
easat-9393	67	1	the	the	DET
easat-9393	67	2	individual	individual	ADJ
easat-9393	67	3	images	image	NOUN
easat-9393	67	4	were	be	AUX
easat-9393	67	5	resized	resize	VERB
easat-9393	67	6	to	to	ADP
easat-9393	67	7	224×224	224×224	NUM
easat-9393	67	8	pixels	pixel	NOUN
easat-9393	67	9	using	use	VERB
easat-9393	67	10	a	a	DET
easat-9393	67	11	python	python	NOUN
easat-9393	67	12	script	script	NOUN
easat-9393	67	13	to	to	PART
easat-9393	67	14	ensure	ensure	VERB
easat-9393	67	15	uniform	uniform	ADJ
easat-9393	67	16	input	input	NOUN
easat-9393	67	17	dimensions	dimension	NOUN
easat-9393	67	18	for	for	ADP
easat-9393	67	19	deep	deep	ADJ
easat-9393	67	20	learning	learning	NOUN
easat-9393	67	21	models	model	NOUN
easat-9393	67	22	.	.	PUNCT
easat-9393	68	1	finally	finally	ADV
easat-9393	68	2	,	,	PUNCT
easat-9393	68	3	the	the	DET
easat-9393	68	4	dataset	dataset	NOUN
easat-9393	68	5	was	be	AUX
easat-9393	68	6	split	split	VERB
easat-9393	68	7	into	into	ADP
easat-9393	68	8	80	80	NUM
easat-9393	68	9	%	%	NOUN
easat-9393	68	10	for	for	ADP
easat-9393	68	11	training	training	NOUN
easat-9393	68	12	and	and	CCONJ
easat-9393	68	13	validation	validation	NOUN
easat-9393	68	14	and	and	CCONJ
easat-9393	68	15	20	20	NUM
easat-9393	68	16	%	%	NOUN
easat-9393	68	17	for	for	ADP
easat-9393	68	18	testing	testing	NOUN
easat-9393	68	19	.	.	PUNCT
easat-9393	69	1	the	the	DET
easat-9393	69	2	sample	sample	NOUN
easat-9393	69	3	images	image	NOUN
easat-9393	69	4	for	for	ADP
easat-9393	69	5	each	each	DET
easat-9393	69	6	roast	roast	NOUN
easat-9393	69	7	level	level	NOUN
easat-9393	69	8	in	in	ADP
easat-9393	69	9	both	both	DET
easat-9393	69	10	datasets	dataset	NOUN
easat-9393	69	11	are	be	AUX
easat-9393	69	12	shown	show	VERB
easat-9393	69	13	in	in	ADP
easat-9393	69	14	table	table	NOUN
easat-9393	69	15	.	.	PUNCT
easat-9393	70	1	table	table	NOUN
easat-9393	70	2	1	1	NUM
easat-9393	70	3	.	.	PUNCT
easat-9393	71	1	samples	sample	NOUN
easat-9393	71	2	of	of	ADP
easat-9393	71	3	datasets	dataset	NOUN
easat-9393	71	4	.	.	PUNCT
easat-9393	72	1	roast	roast	NOUN
easat-9393	72	2	level	level	NOUN
easat-9393	72	3	kaggle	kaggle	NOUN
easat-9393	72	4	dataset	dataset	NOUN
easat-9393	72	5	self	self	NOUN
easat-9393	72	6	-	-	PUNCT
easat-9393	72	7	collected	collect	VERB
easat-9393	72	8	dataset	dataset	VERB
easat-9393	72	9	green	green	ADJ
easat-9393	72	10	light	light	ADJ
easat-9393	72	11	medium	medium	ADJ
easat-9393	72	12	dark	dark	ADJ
easat-9393	72	13	2.2	2.2	NUM
easat-9393	72	14	.	.	PUNCT
easat-9393	73	1	deep	deep	ADJ
easat-9393	73	2	learning	learning	NOUN
easat-9393	73	3	models	model	VERB
easat-9393	73	4	the	the	DET
easat-9393	73	5	implementation	implementation	NOUN
easat-9393	73	6	of	of	ADP
easat-9393	73	7	deep	deep	ADJ
easat-9393	73	8	learning	learning	NOUN
easat-9393	73	9	models	model	NOUN
easat-9393	73	10	was	be	AUX
easat-9393	73	11	conducted	conduct	VERB
easat-9393	73	12	using	use	VERB
easat-9393	73	13	tensorflow	tensorflow	NOUN
easat-9393	73	14	and	and	CCONJ
easat-9393	73	15	keras	keras	PROPN
easat-9393	73	16	.	.	PUNCT
easat-9393	74	1	each	each	DET
easat-9393	74	2	model	model	NOUN
easat-9393	74	3	was	be	AUX
easat-9393	74	4	trained	train	VERB
easat-9393	74	5	and	and	CCONJ
easat-9393	74	6	evaluated	evaluate	VERB
easat-9393	74	7	on	on	ADP
easat-9393	74	8	both	both	DET
easat-9393	74	9	datasets	dataset	NOUN
easat-9393	74	10	,	,	PUNCT
easat-9393	74	11	with	with	SCONJ
easat-9393	74	12	hyperparameters	hyperparameter	NOUN
easat-9393	74	13	selected	select	VERB
easat-9393	74	14	based	base	VERB
easat-9393	74	15	on	on	ADP
easat-9393	74	16	experimental	experimental	ADJ
easat-9393	74	17	results	result	NOUN
easat-9393	74	18	to	to	PART
easat-9393	74	19	achieve	achieve	VERB
easat-9393	74	20	the	the	DET
easat-9393	74	21	highest	high	ADJ
easat-9393	74	22	accuracy	accuracy	NOUN
easat-9393	74	23	.	.	PUNCT
easat-9393	75	1	data	datum	NOUN
easat-9393	75	2	augmentations	augmentation	NOUN
easat-9393	75	3	such	such	ADJ
easat-9393	75	4	as	as	ADP
easat-9393	75	5	horizontal	horizontal	ADJ
easat-9393	75	6	flipping	flipping	NOUN
easat-9393	75	7	and	and	CCONJ
easat-9393	75	8	rotation	rotation	NOUN
easat-9393	75	9	are	be	AUX
easat-9393	75	10	627	627	NUM
easat-9393	75	11	edelweiss	edelweiss	PROPN
easat-9393	75	12	applied	apply	VERB
easat-9393	75	13	science	science	NOUN
easat-9393	75	14	and	and	CCONJ
easat-9393	75	15	technology	technology	NOUN
easat-9393	75	16	issn	issn	PROPN
easat-9393	75	17	:	:	PUNCT
easat-9393	75	18	2576	2576	NUM
easat-9393	75	19	-	-	SYM
easat-9393	75	20	8484	8484	NUM
easat-9393	75	21	vol	vol	NOUN
easat-9393	75	22	.	.	PROPN
easat-9393	76	1	9	9	NUM
easat-9393	76	2	,	,	PUNCT
easat-9393	76	3	no	no	INTJ
easat-9393	76	4	.	.	NOUN
easat-9393	76	5	8	8	NUM
easat-9393	76	6	:	:	PUNCT
easat-9393	76	7	624	624	NUM
easat-9393	76	8	-	-	SYM
easat-9393	76	9	640	640	NUM
easat-9393	76	10	,	,	PUNCT
easat-9393	76	11	2025	2025	NUM
easat-9393	76	12	doi	doi	NOUN
easat-9393	76	13	:	:	PUNCT
easat-9393	76	14	10.55214/2576	10.55214/2576	NUM
easat-9393	76	15	-	-	SYM
easat-9393	76	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	76	17	©	©	PROPN
easat-9393	76	18	2025	2025	NUM
easat-9393	76	19	by	by	ADP
easat-9393	76	20	the	the	DET
easat-9393	76	21	authors	author	NOUN
easat-9393	76	22	;	;	PUNCT
easat-9393	76	23	licensee	licensee	PROPN
easat-9393	76	24	learning	learn	VERB
easat-9393	76	25	gate	gate	NOUN
easat-9393	76	26	applied	apply	VERB
easat-9393	76	27	to	to	ADP
easat-9393	76	28	the	the	DET
easat-9393	76	29	datasets	dataset	NOUN
easat-9393	76	30	.	.	PUNCT
easat-9393	77	1	the	the	DET
easat-9393	77	2	following	follow	VERB
easat-9393	77	3	sections	section	NOUN
easat-9393	77	4	summarize	summarize	VERB
easat-9393	77	5	the	the	DET
easat-9393	77	6	architecture	architecture	NOUN
easat-9393	77	7	and	and	CCONJ
easat-9393	77	8	training	training	NOUN
easat-9393	77	9	parameters	parameter	NOUN
easat-9393	77	10	for	for	ADP
easat-9393	77	11	the	the	DET
easat-9393	77	12	deep	deep	ADJ
easat-9393	77	13	learning	learning	NOUN
easat-9393	77	14	models	model	NOUN
easat-9393	77	15	.	.	PUNCT
easat-9393	78	1	2.2.1	2.2.1	NUM
easat-9393	78	2	.	.	PUNCT
easat-9393	78	3	xception	xception	NOUN
easat-9393	78	4	the	the	DET
easat-9393	78	5	xception	xception	PROPN
easat-9393	78	6	model	model	NOUN
easat-9393	78	7	,	,	PUNCT
easat-9393	78	8	which	which	PRON
easat-9393	78	9	stands	stand	VERB
easat-9393	78	10	for	for	ADP
easat-9393	78	11	extreme	extreme	ADJ
easat-9393	78	12	inception	inception	NOUN
easat-9393	78	13	,	,	PUNCT
easat-9393	78	14	represents	represent	VERB
easat-9393	78	15	an	an	DET
easat-9393	78	16	advanced	advanced	ADJ
easat-9393	78	17	deep	deep	ADJ
easat-9393	78	18	convolutional	convolutional	ADJ
easat-9393	78	19	neural	neural	ADJ
easat-9393	78	20	network	network	NOUN
easat-9393	78	21	architecture	architecture	NOUN
easat-9393	78	22	that	that	PRON
easat-9393	78	23	enhances	enhance	VERB
easat-9393	78	24	the	the	DET
easat-9393	78	25	original	original	ADJ
easat-9393	78	26	inception	inception	NOUN
easat-9393	78	27	framework	framework	NOUN
easat-9393	78	28	by	by	ADP
easat-9393	78	29	substituting	substitute	VERB
easat-9393	78	30	conventional	conventional	ADJ
easat-9393	78	31	inception	inception	NOUN
easat-9393	78	32	modules	module	NOUN
easat-9393	78	33	with	with	ADP
easat-9393	78	34	depthwise	depthwise	NOUN
easat-9393	78	35	separable	separable	ADJ
easat-9393	78	36	convolutions	convolution	NOUN
easat-9393	78	37	.	.	PUNCT
easat-9393	79	1	introduced	introduce	VERB
easat-9393	79	2	by	by	ADP
easat-9393	79	3	françois	françois	PROPN
easat-9393	79	4	chollet	chollet	PROPN
easat-9393	79	5	,	,	PUNCT
easat-9393	79	6	the	the	DET
easat-9393	79	7	architect	architect	NOUN
easat-9393	79	8	of	of	ADP
easat-9393	79	9	keras	keras	PROPN
easat-9393	79	10	,	,	PUNCT
easat-9393	79	11	the	the	DET
easat-9393	79	12	xception	xception	PROPN
easat-9393	79	13	model	model	NOUN
easat-9393	79	14	aims	aim	VERB
easat-9393	79	15	to	to	PART
easat-9393	79	16	optimize	optimize	VERB
easat-9393	79	17	computational	computational	ADJ
easat-9393	79	18	efficiency	efficiency	NOUN
easat-9393	79	19	and	and	CCONJ
easat-9393	79	20	enhance	enhance	VERB
easat-9393	79	21	model	model	NOUN
easat-9393	79	22	performance	performance	NOUN
easat-9393	79	23	by	by	ADP
easat-9393	79	24	disentangling	disentangle	VERB
easat-9393	79	25	spatial	spatial	ADJ
easat-9393	79	26	and	and	CCONJ
easat-9393	79	27	cross	cross	ADJ
easat-9393	79	28	-	-	ADJ
easat-9393	79	29	channel	channel	ADJ
easat-9393	79	30	dependencies	dependency	NOUN
easat-9393	79	31	.	.	PUNCT
easat-9393	80	1	in	in	ADP
easat-9393	80	2	contrast	contrast	NOUN
easat-9393	80	3	to	to	ADP
easat-9393	80	4	traditional	traditional	ADJ
easat-9393	80	5	convolutional	convolutional	ADJ
easat-9393	80	6	layers	layer	NOUN
easat-9393	80	7	,	,	PUNCT
easat-9393	80	8	depthwise	depthwise	NOUN
easat-9393	80	9	separable	separable	ADJ
easat-9393	80	10	convolutions	convolution	NOUN
easat-9393	80	11	execute	execute	VERB
easat-9393	80	12	filtering	filtering	NOUN
easat-9393	80	13	and	and	CCONJ
easat-9393	80	14	feature	feature	NOUN
easat-9393	80	15	integration	integration	NOUN
easat-9393	80	16	in	in	ADP
easat-9393	80	17	distinct	distinct	ADJ
easat-9393	80	18	phases	phase	NOUN
easat-9393	80	19	,	,	PUNCT
easat-9393	80	20	thereby	thereby	ADV
easat-9393	80	21	substantially	substantially	ADV
easat-9393	80	22	decreasing	decrease	VERB
easat-9393	80	23	the	the	DET
easat-9393	80	24	parameter	parameter	NOUN
easat-9393	80	25	count	count	NOUN
easat-9393	80	26	while	while	SCONJ
easat-9393	80	27	preserving	preserve	VERB
easat-9393	80	28	a	a	DET
easat-9393	80	29	high	high	ADJ
easat-9393	80	30	level	level	NOUN
easat-9393	80	31	of	of	ADP
easat-9393	80	32	accuracy	accuracy	NOUN
easat-9393	80	33	.	.	PUNCT
easat-9393	81	1	this	this	DET
easat-9393	81	2	architectural	architectural	ADJ
easat-9393	81	3	design	design	NOUN
easat-9393	81	4	enables	enable	VERB
easat-9393	81	5	the	the	DET
easat-9393	81	6	network	network	NOUN
easat-9393	81	7	to	to	PART
easat-9393	81	8	capture	capture	VERB
easat-9393	81	9	more	more	ADV
easat-9393	81	10	intricate	intricate	ADJ
easat-9393	81	11	patterns	pattern	NOUN
easat-9393	81	12	with	with	ADP
easat-9393	81	13	reduced	reduced	ADJ
easat-9393	81	14	computational	computational	ADJ
easat-9393	81	15	expenditure	expenditure	NOUN
easat-9393	81	16	.	.	PUNCT
easat-9393	82	1	in	in	ADP
easat-9393	82	2	the	the	DET
easat-9393	82	3	present	present	ADJ
easat-9393	82	4	study	study	NOUN
easat-9393	82	5	,	,	PUNCT
easat-9393	82	6	the	the	DET
easat-9393	82	7	xception	xception	PROPN
easat-9393	82	8	model	model	NOUN
easat-9393	82	9	was	be	AUX
easat-9393	82	10	utilized	utilize	VERB
easat-9393	82	11	as	as	ADP
easat-9393	82	12	the	the	DET
easat-9393	82	13	feature	feature	NOUN
easat-9393	82	14	extractor	extractor	NOUN
easat-9393	82	15	within	within	ADP
easat-9393	82	16	the	the	DET
easat-9393	82	17	customized	customized	ADJ
easat-9393	82	18	cnn	cnn	PROPN
easat-9393	82	19	framework	framework	NOUN
easat-9393	82	20	.	.	PUNCT
easat-9393	83	1	a	a	DET
easat-9393	83	2	pre	pre	ADJ
easat-9393	83	3	-	-	ADJ
easat-9393	83	4	trained	train	VERB
easat-9393	83	5	xception	xception	NOUN
easat-9393	83	6	base	base	NOUN
easat-9393	83	7	,	,	PUNCT
easat-9393	83	8	previously	previously	ADV
easat-9393	83	9	trained	train	VERB
easat-9393	83	10	on	on	ADP
easat-9393	83	11	the	the	DET
easat-9393	83	12	imagenet	imagenet	NOUN
easat-9393	83	13	dataset	dataset	NOUN
easat-9393	83	14	,	,	PUNCT
easat-9393	83	15	was	be	AUX
easat-9393	83	16	incorporated	incorporate	VERB
easat-9393	83	17	along	along	ADP
easat-9393	83	18	with	with	ADP
easat-9393	83	19	supplementary	supplementary	ADJ
easat-9393	83	20	fully	fully	ADV
easat-9393	83	21	connected	connect	VERB
easat-9393	83	22	layers	layer	NOUN
easat-9393	83	23	and	and	CCONJ
easat-9393	83	24	dropout	dropout	NOUN
easat-9393	83	25	mechanisms	mechanism	NOUN
easat-9393	83	26	for	for	ADP
easat-9393	83	27	the	the	DET
easat-9393	83	28	classification	classification	NOUN
easat-9393	83	29	of	of	ADP
easat-9393	83	30	coffee	coffee	NOUN
easat-9393	83	31	bean	bean	NOUN
easat-9393	83	32	roast	roast	NOUN
easat-9393	83	33	levels	level	NOUN
easat-9393	83	34	.	.	PUNCT
easat-9393	84	1	this	this	DET
easat-9393	84	2	integrative	integrative	ADJ
easat-9393	84	3	strategy	strategy	NOUN
easat-9393	84	4	harnesses	harness	NOUN
easat-9393	84	5	the	the	DET
easat-9393	84	6	formidable	formidable	ADJ
easat-9393	84	7	feature	feature	NOUN
easat-9393	84	8	extraction	extraction	NOUN
easat-9393	84	9	capabilities	capability	NOUN
easat-9393	84	10	of	of	ADP
easat-9393	84	11	xception	xception	NOUN
easat-9393	84	12	while	while	SCONJ
easat-9393	84	13	tailoring	tailor	VERB
easat-9393	84	14	the	the	DET
easat-9393	84	15	model	model	NOUN
easat-9393	84	16	to	to	ADP
easat-9393	84	17	the	the	DET
easat-9393	84	18	specific	specific	ADJ
easat-9393	84	19	objective	objective	NOUN
easat-9393	84	20	of	of	ADP
easat-9393	84	21	post	post	ADJ
easat-9393	84	22	-	-	ADJ
easat-9393	84	23	roasting	roasting	ADJ
easat-9393	84	24	coffee	coffee	NOUN
easat-9393	84	25	bean	bean	NOUN
easat-9393	84	26	classification	classification	NOUN
easat-9393	84	27	.	.	PUNCT
easat-9393	85	1	the	the	DET
easat-9393	85	2	model	model	NOUN
easat-9393	85	3	's	's	PART
easat-9393	85	4	layer	layer	NOUN
easat-9393	85	5	configuration	configuration	NOUN
easat-9393	85	6	is	be	AUX
easat-9393	85	7	illustrated	illustrate	VERB
easat-9393	85	8	in	in	ADP
easat-9393	85	9	figure	figure	NOUN
easat-9393	85	10	.	.	PUNCT
easat-9393	86	1	the	the	DET
easat-9393	86	2	model	model	NOUN
easat-9393	86	3	was	be	AUX
easat-9393	86	4	trained	train	VERB
easat-9393	86	5	for	for	ADP
easat-9393	86	6	10	10	NUM
easat-9393	86	7	epochs	epoch	NOUN
easat-9393	86	8	using	use	VERB
easat-9393	86	9	a	a	DET
easat-9393	86	10	batch	batch	NOUN
easat-9393	86	11	size	size	NOUN
easat-9393	86	12	of	of	ADP
easat-9393	86	13	16	16	NUM
easat-9393	86	14	and	and	CCONJ
easat-9393	86	15	a	a	DET
easat-9393	86	16	learning	learning	NOUN
easat-9393	86	17	rate	rate	NOUN
easat-9393	86	18	of	of	ADP
easat-9393	86	19	0.001	0.001	NUM
easat-9393	86	20	.	.	PUNCT
easat-9393	87	1	early	early	ADJ
easat-9393	87	2	stopping	stop	VERB
easat-9393	87	3	with	with	ADP
easat-9393	87	4	a	a	DET
easat-9393	87	5	patience	patience	NOUN
easat-9393	87	6	of	of	ADP
easat-9393	87	7	3	3	NUM
easat-9393	87	8	was	be	AUX
easat-9393	87	9	implemented	implement	VERB
easat-9393	87	10	to	to	PART
easat-9393	87	11	mitigate	mitigate	VERB
easat-9393	87	12	overfitting	overfitting	NOUN
easat-9393	87	13	.	.	PUNCT
easat-9393	88	1	figure	figure	NOUN
easat-9393	88	2	2	2	NUM
easat-9393	88	3	.	.	PUNCT
easat-9393	88	4	xception	xception	PROPN
easat-9393	88	5	layer	layer	NOUN
easat-9393	88	6	configuration	configuration	NOUN
easat-9393	88	7	.	.	PUNCT
easat-9393	89	1	2.2.2	2.2.2	X
easat-9393	89	2	.	.	PUNCT
easat-9393	90	1	efficientnetb0	efficientnetb0	PROPN
easat-9393	90	2	efficientnetb0	efficientnetb0	PROPN
easat-9393	90	3	serves	serve	VERB
easat-9393	90	4	as	as	ADP
easat-9393	90	5	the	the	DET
easat-9393	90	6	foundational	foundational	ADJ
easat-9393	90	7	model	model	NOUN
easat-9393	90	8	within	within	ADP
easat-9393	90	9	the	the	DET
easat-9393	90	10	efficientnet	efficientnet	NOUN
easat-9393	90	11	architecture	architecture	NOUN
easat-9393	90	12	,	,	PUNCT
easat-9393	90	13	a	a	DET
easat-9393	90	14	category	category	NOUN
easat-9393	90	15	of	of	ADP
easat-9393	90	16	convolutional	convolutional	ADJ
easat-9393	90	17	neural	neural	ADJ
easat-9393	90	18	networks	network	NOUN
easat-9393	90	19	recognized	recognize	VERB
easat-9393	90	20	for	for	ADP
easat-9393	90	21	achieving	achieve	VERB
easat-9393	90	22	elevated	elevated	ADJ
easat-9393	90	23	accuracy	accuracy	NOUN
easat-9393	90	24	with	with	ADP
easat-9393	90	25	a	a	DET
easat-9393	90	26	reduced	reduce	VERB
easat-9393	90	27	number	number	NOUN
easat-9393	90	28	of	of	ADP
easat-9393	90	29	parameters	parameter	NOUN
easat-9393	90	30	and	and	CCONJ
easat-9393	90	31	computational	computational	ADJ
easat-9393	90	32	demands	demand	NOUN
easat-9393	90	33	.	.	PUNCT
easat-9393	91	1	originating	originate	VERB
easat-9393	91	2	from	from	ADP
easat-9393	91	3	google	google	PROPN
easat-9393	91	4	ai	ai	NOUN
easat-9393	91	5	,	,	PUNCT
easat-9393	91	6	efficientnetb0	efficientnetb0	NOUN
easat-9393	91	7	presents	present	VERB
easat-9393	91	8	an	an	DET
easat-9393	91	9	innovative	innovative	ADJ
easat-9393	91	10	compound	compound	NOUN
easat-9393	91	11	scaling	scale	VERB
easat-9393	91	12	methodology	methodology	NOUN
easat-9393	91	13	that	that	PRON
easat-9393	91	14	systematically	systematically	ADV
easat-9393	91	15	scales	scale	VERB
easat-9393	91	16	the	the	DET
easat-9393	91	17	network	network	NOUN
easat-9393	91	18	’s	’s	PART
easat-9393	91	19	depth	depth	NOUN
easat-9393	91	20	,	,	PUNCT
easat-9393	91	21	width	width	ADJ
easat-9393	91	22	,	,	PUNCT
easat-9393	91	23	and	and	CCONJ
easat-9393	91	24	input	input	NOUN
easat-9393	91	25	resolution	resolution	NOUN
easat-9393	91	26	through	through	ADP
easat-9393	91	27	the	the	DET
easat-9393	91	28	application	application	NOUN
easat-9393	91	29	of	of	ADP
easat-9393	91	30	a	a	DET
easat-9393	91	31	compound	compound	NOUN
easat-9393	91	32	coefficient	coefficient	NOUN
easat-9393	91	33	.	.	PUNCT
easat-9393	92	1	this	this	DET
easat-9393	92	2	harmonized	harmonized	ADJ
easat-9393	92	3	scaling	scaling	NOUN
easat-9393	92	4	approach	approach	NOUN
easat-9393	92	5	enables	enable	VERB
easat-9393	92	6	the	the	DET
easat-9393	92	7	model	model	NOUN
easat-9393	92	8	to	to	PART
easat-9393	92	9	enhance	enhance	VERB
easat-9393	92	10	performance	performance	NOUN
easat-9393	92	11	optimization	optimization	NOUN
easat-9393	92	12	more	more	ADV
easat-9393	92	13	proficiently	proficiently	ADV
easat-9393	92	14	compared	compare	VERB
easat-9393	92	15	to	to	ADP
easat-9393	92	16	conventional	conventional	ADJ
easat-9393	92	17	scaling	scaling	NOUN
easat-9393	92	18	techniques	technique	NOUN
easat-9393	92	19	.	.	PUNCT
easat-9393	93	1	efficientnetb0	efficientnetb0	PROPN
easat-9393	93	2	is	be	AUX
easat-9393	93	3	constructed	construct	VERB
easat-9393	93	4	utilizing	utilize	VERB
easat-9393	93	5	mobile	mobile	ADJ
easat-9393	93	6	inverted	invert	VERB
easat-9393	93	7	bottleneck	bottleneck	NOUN
easat-9393	93	8	convolution	convolution	NOUN
easat-9393	93	9	(	(	PUNCT
easat-9393	93	10	mbconv	mbconv	NOUN
easat-9393	93	11	)	)	PUNCT
easat-9393	93	12	blocks	block	NOUN
easat-9393	93	13	and	and	CCONJ
easat-9393	93	14	incorporates	incorporate	VERB
easat-9393	93	15	squeeze	squeeze	NOUN
easat-9393	93	16	-	-	PUNCT
easat-9393	93	17	and	and	CCONJ
easat-9393	93	18	-	-	PUNCT
easat-9393	93	19	excitation	excitation	NOUN
easat-9393	93	20	optimization	optimization	NOUN
easat-9393	93	21	to	to	PART
easat-9393	93	22	recalibrate	recalibrate	VERB
easat-9393	93	23	channel	channel	NOUN
easat-9393	93	24	-	-	PUNCT
easat-9393	93	25	wise	wise	ADJ
easat-9393	93	26	feature	feature	NOUN
easat-9393	93	27	responses	response	NOUN
easat-9393	93	28	,	,	PUNCT
easat-9393	93	29	thereby	thereby	ADV
easat-9393	93	30	augmenting	augment	VERB
easat-9393	93	31	its	its	PRON
easat-9393	93	32	representational	representational	ADJ
easat-9393	93	33	capability	capability	NOUN
easat-9393	93	34	.	.	PUNCT
easat-9393	94	1	in	in	ADP
easat-9393	94	2	the	the	DET
easat-9393	94	3	context	context	NOUN
easat-9393	94	4	of	of	ADP
easat-9393	94	5	this	this	DET
easat-9393	94	6	investigation	investigation	NOUN
easat-9393	94	7	,	,	PUNCT
easat-9393	94	8	efficientnetb0	efficientnetb0	PROPN
easat-9393	94	9	was	be	AUX
easat-9393	94	10	employed	employ	VERB
easat-9393	94	11	as	as	ADP
easat-9393	94	12	a	a	DET
easat-9393	94	13	pre	pre	ADJ
easat-9393	94	14	-	-	ADJ
easat-9393	94	15	trained	train	VERB
easat-9393	94	16	foundational	foundational	ADJ
easat-9393	94	17	model	model	NOUN
easat-9393	94	18	,	,	PUNCT
easat-9393	94	19	augmented	augment	VERB
easat-9393	94	20	with	with	ADP
easat-9393	94	21	supplementary	supplementary	ADJ
easat-9393	94	22	dense	dense	ADJ
easat-9393	94	23	and	and	CCONJ
easat-9393	94	24	dropout	dropout	NOUN
easat-9393	94	25	layers	layer	NOUN
easat-9393	94	26	specifically	specifically	ADV
easat-9393	94	27	designed	design	VERB
easat-9393	94	28	for	for	ADP
easat-9393	94	29	the	the	DET
easat-9393	94	30	four	four	NUM
easat-9393	94	31	-	-	PUNCT
easat-9393	94	32	class	class	NOUN
easat-9393	94	33	classification	classification	NOUN
easat-9393	94	34	of	of	ADP
easat-9393	94	35	coffee	coffee	NOUN
easat-9393	94	36	bean	bean	NOUN
easat-9393	94	37	roast	roast	NOUN
easat-9393	94	38	levels	level	NOUN
easat-9393	94	39	.	.	PUNCT
easat-9393	95	1	the	the	DET
easat-9393	95	2	model	model	NOUN
easat-9393	95	3	's	's	PART
easat-9393	95	4	structure	structure	NOUN
easat-9393	95	5	is	be	AUX
easat-9393	95	6	depicted	depict	VERB
easat-9393	95	7	in	in	ADP
easat-9393	95	8	figure	figure	NOUN
easat-9393	95	9	.	.	PUNCT
easat-9393	96	1	the	the	DET
easat-9393	96	2	model	model	NOUN
easat-9393	96	3	was	be	AUX
easat-9393	96	4	trained	train	VERB
easat-9393	96	5	for	for	ADP
easat-9393	96	6	50	50	NUM
easat-9393	96	7	epochs	epoch	NOUN
easat-9393	96	8	with	with	ADP
easat-9393	96	9	a	a	DET
easat-9393	96	10	batch	batch	NOUN
easat-9393	96	11	size	size	NOUN
easat-9393	96	12	of	of	ADP
easat-9393	96	13	16	16	NUM
easat-9393	96	14	and	and	CCONJ
easat-9393	96	15	an	an	DET
easat-9393	96	16	initial	initial	ADJ
easat-9393	96	17	learning	learning	NOUN
easat-9393	96	18	rate	rate	NOUN
easat-9393	96	19	of	of	ADP
easat-9393	96	20	0.0001	0.0001	NUM
easat-9393	96	21	.	.	PUNCT
easat-9393	97	1	a	a	DET
easat-9393	97	2	learning	learning	NOUN
easat-9393	97	3	rate	rate	NOUN
easat-9393	97	4	scheduler	scheduler	NOUN
easat-9393	97	5	(	(	PUNCT
easat-9393	97	6	reducelronplateau	reducelronplateau	PROPN
easat-9393	97	7	)	)	PUNCT
easat-9393	97	8	was	be	AUX
easat-9393	97	9	used	use	VERB
easat-9393	97	10	to	to	PART
easat-9393	97	11	dynamically	dynamically	ADV
easat-9393	97	12	adjust	adjust	VERB
easat-9393	97	13	the	the	DET
easat-9393	97	14	learning	learning	NOUN
easat-9393	97	15	rate	rate	NOUN
easat-9393	97	16	during	during	ADP
easat-9393	97	17	training	training	NOUN
easat-9393	97	18	.	.	PUNCT
easat-9393	98	1	figure	figure	NOUN
easat-9393	98	2	3	3	NUM
easat-9393	98	3	.	.	PUNCT
easat-9393	99	1	efficientnetb0	efficientnetb0	NOUN
easat-9393	99	2	layer	layer	NOUN
easat-9393	99	3	configuration	configuration	NOUN
easat-9393	99	4	.	.	PUNCT
easat-9393	100	1	628	628	NUM
easat-9393	100	2	edelweiss	edelweiss	PROPN
easat-9393	100	3	applied	apply	VERB
easat-9393	100	4	science	science	NOUN
easat-9393	100	5	and	and	CCONJ
easat-9393	100	6	technology	technology	NOUN
easat-9393	100	7	issn	issn	PROPN
easat-9393	100	8	:	:	PUNCT
easat-9393	100	9	2576	2576	NUM
easat-9393	100	10	-	-	SYM
easat-9393	100	11	8484	8484	NUM
easat-9393	100	12	vol	vol	NOUN
easat-9393	100	13	.	.	PROPN
easat-9393	101	1	9	9	NUM
easat-9393	101	2	,	,	PUNCT
easat-9393	101	3	no	no	INTJ
easat-9393	101	4	.	.	NOUN
easat-9393	101	5	8	8	NUM
easat-9393	101	6	:	:	PUNCT
easat-9393	101	7	624	624	NUM
easat-9393	101	8	-	-	SYM
easat-9393	101	9	640	640	NUM
easat-9393	101	10	,	,	PUNCT
easat-9393	101	11	2025	2025	NUM
easat-9393	101	12	doi	doi	NOUN
easat-9393	101	13	:	:	PUNCT
easat-9393	101	14	10.55214/2576	10.55214/2576	NUM
easat-9393	101	15	-	-	SYM
easat-9393	101	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	101	17	©	©	PROPN
easat-9393	101	18	2025	2025	NUM
easat-9393	101	19	by	by	ADP
easat-9393	101	20	the	the	DET
easat-9393	101	21	authors	author	NOUN
easat-9393	101	22	;	;	PUNCT
easat-9393	101	23	licensee	licensee	PROPN
easat-9393	101	24	learning	learn	VERB
easat-9393	101	25	gate	gate	NOUN
easat-9393	101	26	2.2.3	2.2.3	NUM
easat-9393	101	27	.	.	PUNCT
easat-9393	102	1	resnet50v2	resnet50v2	NOUN
easat-9393	102	2	resnet50v2	resnet50v2	NOUN
easat-9393	102	3	represents	represent	VERB
easat-9393	102	4	a	a	DET
easat-9393	102	5	modification	modification	NOUN
easat-9393	102	6	of	of	ADP
easat-9393	102	7	the	the	DET
easat-9393	102	8	residual	residual	ADJ
easat-9393	102	9	network	network	NOUN
easat-9393	102	10	(	(	PUNCT
easat-9393	102	11	resnet	resnet	NOUN
easat-9393	102	12	)	)	PUNCT
easat-9393	102	13	framework	framework	NOUN
easat-9393	102	14	,	,	PUNCT
easat-9393	102	15	specifically	specifically	ADV
easat-9393	102	16	developed	develop	VERB
easat-9393	102	17	to	to	PART
easat-9393	102	18	mitigate	mitigate	VERB
easat-9393	102	19	the	the	DET
easat-9393	102	20	difficulties	difficulty	NOUN
easat-9393	102	21	associated	associate	VERB
easat-9393	102	22	with	with	ADP
easat-9393	102	23	the	the	DET
easat-9393	102	24	training	training	NOUN
easat-9393	102	25	of	of	ADP
easat-9393	102	26	extensive	extensive	ADJ
easat-9393	102	27	neural	neural	ADJ
easat-9393	102	28	networks	network	NOUN
easat-9393	102	29	,	,	PUNCT
easat-9393	102	30	most	most	ADV
easat-9393	102	31	notably	notably	ADV
easat-9393	102	32	the	the	DET
easat-9393	102	33	vanishing	vanish	VERB
easat-9393	102	34	gradient	gradient	ADJ
easat-9393	102	35	phenomenon	phenomenon	NOUN
easat-9393	102	36	.	.	PUNCT
easat-9393	103	1	in	in	ADP
easat-9393	103	2	contrast	contrast	NOUN
easat-9393	103	3	to	to	ADP
easat-9393	103	4	conventional	conventional	ADJ
easat-9393	103	5	convolutional	convolutional	ADJ
easat-9393	103	6	architectures	architecture	NOUN
easat-9393	103	7	,	,	PUNCT
easat-9393	103	8	resnet	resnet	NOUN
easat-9393	103	9	integrates	integrate	VERB
easat-9393	103	10	residual	residual	ADJ
easat-9393	103	11	connections	connection	NOUN
easat-9393	103	12	,	,	PUNCT
easat-9393	103	13	which	which	PRON
easat-9393	103	14	permit	permit	VERB
easat-9393	103	15	the	the	DET
easat-9393	103	16	input	input	NOUN
easat-9393	103	17	data	datum	NOUN
easat-9393	103	18	to	to	PART
easat-9393	103	19	circumvent	circumvent	VERB
easat-9393	103	20	one	one	NUM
easat-9393	103	21	or	or	CCONJ
easat-9393	103	22	more	more	ADJ
easat-9393	103	23	layers	layer	NOUN
easat-9393	103	24	,	,	PUNCT
easat-9393	103	25	thereby	thereby	ADV
easat-9393	103	26	empowering	empower	VERB
easat-9393	103	27	the	the	DET
easat-9393	103	28	network	network	NOUN
easat-9393	103	29	to	to	PART
easat-9393	103	30	acquire	acquire	VERB
easat-9393	103	31	identity	identity	NOUN
easat-9393	103	32	mappings	mapping	NOUN
easat-9393	103	33	and	and	CCONJ
easat-9393	103	34	sustain	sustain	VERB
easat-9393	103	35	the	the	DET
easat-9393	103	36	gradient	gradient	ADJ
easat-9393	103	37	flow	flow	NOUN
easat-9393	103	38	throughout	throughout	ADP
easat-9393	103	39	the	the	DET
easat-9393	103	40	backpropagation	backpropagation	NOUN
easat-9393	103	41	process	process	NOUN
easat-9393	103	42	.	.	PUNCT
easat-9393	104	1	this	this	DET
easat-9393	104	2	architectural	architectural	ADJ
easat-9393	104	3	configuration	configuration	NOUN
easat-9393	104	4	enables	enable	VERB
easat-9393	104	5	the	the	DET
easat-9393	104	6	training	training	NOUN
easat-9393	104	7	of	of	ADP
easat-9393	104	8	significantly	significantly	ADV
easat-9393	104	9	deeper	deep	ADJ
easat-9393	104	10	models	model	NOUN
easat-9393	104	11	without	without	ADP
easat-9393	104	12	incurring	incur	VERB
easat-9393	104	13	performance	performance	NOUN
easat-9393	104	14	deterioration	deterioration	NOUN
easat-9393	104	15	.	.	PUNCT
easat-9393	105	1	resnet50v2	resnet50v2	NOUN
easat-9393	105	2	enhances	enhance	VERB
easat-9393	105	3	the	the	DET
easat-9393	105	4	foundational	foundational	ADJ
easat-9393	105	5	resnet50	resnet50	NOUN
easat-9393	105	6	by	by	ADP
easat-9393	105	7	reorganizing	reorganize	VERB
easat-9393	105	8	the	the	DET
easat-9393	105	9	elements	element	NOUN
easat-9393	105	10	within	within	ADP
easat-9393	105	11	each	each	DET
easat-9393	105	12	residual	residual	ADJ
easat-9393	105	13	block	block	NOUN
easat-9393	105	14	.	.	PUNCT
easat-9393	106	1	it	it	PRON
easat-9393	106	2	implements	implement	VERB
easat-9393	106	3	batch	batch	NOUN
easat-9393	106	4	normalization	normalization	NOUN
easat-9393	106	5	and	and	CCONJ
easat-9393	106	6	relu	relu	NOUN
easat-9393	106	7	activation	activation	NOUN
easat-9393	106	8	prior	prior	ADV
easat-9393	106	9	to	to	ADP
easat-9393	106	10	each	each	DET
easat-9393	106	11	convolutional	convolutional	ADJ
easat-9393	106	12	layer	layer	NOUN
easat-9393	106	13	,	,	PUNCT
easat-9393	106	14	a	a	DET
easat-9393	106	15	configuration	configuration	NOUN
easat-9393	106	16	referred	refer	VERB
easat-9393	106	17	to	to	ADP
easat-9393	106	18	as	as	ADP
easat-9393	106	19	preactivation	preactivation	NOUN
easat-9393	106	20	,	,	PUNCT
easat-9393	106	21	which	which	PRON
easat-9393	106	22	significantly	significantly	ADV
easat-9393	106	23	bolsters	bolster	VERB
easat-9393	106	24	training	train	VERB
easat-9393	106	25	stability	stability	NOUN
easat-9393	106	26	and	and	CCONJ
easat-9393	106	27	generalization	generalization	NOUN
easat-9393	106	28	capabilities	capability	NOUN
easat-9393	106	29	.	.	PUNCT
easat-9393	107	1	in	in	ADP
easat-9393	107	2	the	the	DET
easat-9393	107	3	present	present	ADJ
easat-9393	107	4	investigation	investigation	NOUN
easat-9393	107	5	,	,	PUNCT
easat-9393	107	6	the	the	DET
easat-9393	107	7	resnet50v2	resnet50v2	NOUN
easat-9393	107	8	architecture	architecture	NOUN
easat-9393	107	9	was	be	AUX
easat-9393	107	10	employed	employ	VERB
easat-9393	107	11	as	as	ADP
easat-9393	107	12	a	a	DET
easat-9393	107	13	pre	pre	ADJ
easat-9393	107	14	-	-	ADJ
easat-9393	107	15	trained	train	VERB
easat-9393	107	16	feature	feature	NOUN
easat-9393	107	17	extractor	extractor	NOUN
easat-9393	107	18	,	,	PUNCT
easat-9393	107	19	supplemented	supplement	VERB
easat-9393	107	20	by	by	ADP
easat-9393	107	21	custom	custom	NOUN
easat-9393	107	22	classification	classification	NOUN
easat-9393	107	23	layers	layer	NOUN
easat-9393	107	24	to	to	PART
easat-9393	107	25	execute	execute	VERB
easat-9393	107	26	a	a	DET
easat-9393	107	27	four	four	NUM
easat-9393	107	28	-	-	PUNCT
easat-9393	107	29	class	class	NOUN
easat-9393	107	30	classification	classification	NOUN
easat-9393	107	31	task	task	NOUN
easat-9393	107	32	pertaining	pertain	VERB
easat-9393	107	33	to	to	ADP
easat-9393	107	34	coffee	coffee	NOUN
easat-9393	107	35	bean	bean	NOUN
easat-9393	107	36	roast	roast	NOUN
easat-9393	107	37	levels	level	NOUN
easat-9393	107	38	.	.	PUNCT
easat-9393	108	1	its	its	PRON
easat-9393	108	2	substantial	substantial	ADJ
easat-9393	108	3	depth	depth	NOUN
easat-9393	108	4	and	and	CCONJ
easat-9393	108	5	residual	residual	ADJ
easat-9393	108	6	framework	framework	NOUN
easat-9393	108	7	render	render	VERB
easat-9393	108	8	it	it	PRON
easat-9393	108	9	particularly	particularly	ADV
easat-9393	108	10	adept	adept	ADJ
easat-9393	108	11	at	at	ADP
easat-9393	108	12	discerning	discern	VERB
easat-9393	108	13	intricate	intricate	ADJ
easat-9393	108	14	patterns	pattern	NOUN
easat-9393	108	15	and	and	CCONJ
easat-9393	108	16	features	feature	NOUN
easat-9393	108	17	within	within	ADP
easat-9393	108	18	high	high	ADJ
easat-9393	108	19	-	-	PUNCT
easat-9393	108	20	resolution	resolution	NOUN
easat-9393	108	21	imagery	imagery	NOUN
easat-9393	108	22	.	.	PUNCT
easat-9393	109	1	the	the	DET
easat-9393	109	2	layer	layer	NOUN
easat-9393	109	3	configuration	configuration	NOUN
easat-9393	109	4	is	be	AUX
easat-9393	109	5	presented	present	VERB
easat-9393	109	6	in	in	ADP
easat-9393	109	7	figure	figure	NOUN
easat-9393	109	8	.	.	PUNCT
easat-9393	110	1	the	the	DET
easat-9393	110	2	model	model	NOUN
easat-9393	110	3	was	be	AUX
easat-9393	110	4	trained	train	VERB
easat-9393	110	5	for	for	ADP
easat-9393	110	6	50	50	NUM
easat-9393	110	7	epochs	epoch	NOUN
easat-9393	110	8	with	with	ADP
easat-9393	110	9	different	different	ADJ
easat-9393	110	10	batch	batch	NOUN
easat-9393	110	11	sizes	size	NOUN
easat-9393	110	12	:	:	PUNCT
easat-9393	110	13	32	32	NUM
easat-9393	110	14	for	for	ADP
easat-9393	110	15	the	the	DET
easat-9393	110	16	kaggle	kaggle	ADJ
easat-9393	110	17	dataset	dataset	NOUN
easat-9393	110	18	and	and	CCONJ
easat-9393	110	19	16	16	NUM
easat-9393	110	20	for	for	ADP
easat-9393	110	21	the	the	DET
easat-9393	110	22	self	self	NOUN
easat-9393	110	23	-	-	PUNCT
easat-9393	110	24	collected	collect	VERB
easat-9393	110	25	dataset	dataset	NOUN
easat-9393	110	26	.	.	PUNCT
easat-9393	111	1	early	early	ADJ
easat-9393	111	2	stopping	stopping	NOUN
easat-9393	111	3	was	be	AUX
easat-9393	111	4	applied	apply	VERB
easat-9393	111	5	with	with	ADP
easat-9393	111	6	a	a	DET
easat-9393	111	7	patience	patience	NOUN
easat-9393	111	8	of	of	ADP
easat-9393	111	9	3	3	NUM
easat-9393	111	10	for	for	ADP
easat-9393	111	11	the	the	DET
easat-9393	111	12	kaggle	kaggle	ADJ
easat-9393	111	13	dataset	dataset	NOUN
easat-9393	111	14	and	and	CCONJ
easat-9393	111	15	6	6	NUM
easat-9393	111	16	for	for	ADP
easat-9393	111	17	the	the	DET
easat-9393	111	18	self	self	NOUN
easat-9393	111	19	-	-	PUNCT
easat-9393	111	20	collected	collect	VERB
easat-9393	111	21	dataset	dataset	NOUN
easat-9393	111	22	.	.	PUNCT
easat-9393	112	1	early	early	ADJ
easat-9393	112	2	stopping	stopping	NOUN
easat-9393	112	3	was	be	AUX
easat-9393	112	4	applied	apply	VERB
easat-9393	112	5	with	with	ADP
easat-9393	112	6	a	a	DET
easat-9393	112	7	patience	patience	NOUN
easat-9393	112	8	of	of	ADP
easat-9393	112	9	3	3	NUM
easat-9393	112	10	for	for	ADP
easat-9393	112	11	the	the	DET
easat-9393	112	12	kaggle	kaggle	ADJ
easat-9393	112	13	dataset	dataset	NOUN
easat-9393	112	14	and	and	CCONJ
easat-9393	112	15	6	6	NUM
easat-9393	112	16	for	for	ADP
easat-9393	112	17	the	the	DET
easat-9393	112	18	self	self	NOUN
easat-9393	112	19	-	-	PUNCT
easat-9393	112	20	collected	collect	VERB
easat-9393	112	21	dataset	dataset	NOUN
easat-9393	112	22	.	.	PUNCT
easat-9393	113	1	figure	figure	NOUN
easat-9393	113	2	4	4	NUM
easat-9393	113	3	.	.	PUNCT
easat-9393	114	1	resnet50v2	resnet50v2	NOUN
easat-9393	114	2	layer	layer	NOUN
easat-9393	114	3	configuration	configuration	NOUN
easat-9393	114	4	.	.	PUNCT
easat-9393	115	1	2.2.4	2.2.4	X
easat-9393	115	2	.	.	X
easat-9393	115	3	vgg16	vgg16	NOUN
easat-9393	115	4	vgg16	vgg16	NOUN
easat-9393	115	5	represents	represent	VERB
easat-9393	115	6	a	a	DET
easat-9393	115	7	sophisticated	sophisticated	ADJ
easat-9393	115	8	deep	deep	ADJ
easat-9393	115	9	convolutional	convolutional	ADJ
easat-9393	115	10	neural	neural	ADJ
easat-9393	115	11	network	network	NOUN
easat-9393	115	12	architecture	architecture	NOUN
easat-9393	115	13	that	that	PRON
easat-9393	115	14	was	be	AUX
easat-9393	115	15	conceived	conceive	VERB
easat-9393	115	16	by	by	ADP
easat-9393	115	17	the	the	DET
easat-9393	115	18	visual	visual	ADJ
easat-9393	115	19	geometry	geometry	NOUN
easat-9393	115	20	group	group	NOUN
easat-9393	115	21	at	at	ADP
easat-9393	115	22	the	the	DET
easat-9393	115	23	university	university	NOUN
easat-9393	115	24	of	of	ADP
easat-9393	115	25	oxford	oxford	PROPN
easat-9393	115	26	.	.	PUNCT
easat-9393	116	1	its	its	PRON
easat-9393	116	2	acclaim	acclaim	NOUN
easat-9393	116	3	stems	stem	VERB
easat-9393	116	4	from	from	ADP
easat-9393	116	5	its	its	PRON
easat-9393	116	6	methodological	methodological	ADJ
easat-9393	116	7	simplicity	simplicity	NOUN
easat-9393	116	8	,	,	PUNCT
easat-9393	116	9	uniform	uniform	ADJ
easat-9393	116	10	structural	structural	ADJ
easat-9393	116	11	design	design	NOUN
easat-9393	116	12	,	,	PUNCT
easat-9393	116	13	and	and	CCONJ
easat-9393	116	14	proven	prove	VERB
easat-9393	116	15	efficacy	efficacy	NOUN
easat-9393	116	16	in	in	ADP
easat-9393	116	17	tasks	task	NOUN
easat-9393	116	18	pertaining	pertain	VERB
easat-9393	116	19	to	to	AUX
easat-9393	116	20	image	image	VERB
easat-9393	116	21	classification	classification	NOUN
easat-9393	116	22	.	.	PUNCT
easat-9393	117	1	the	the	DET
easat-9393	117	2	architecture	architecture	NOUN
easat-9393	117	3	of	of	ADP
easat-9393	117	4	vgg16	vgg16	NOUN
easat-9393	117	5	is	be	AUX
easat-9393	117	6	comprised	comprise	VERB
easat-9393	117	7	of	of	ADP
easat-9393	117	8	16	16	NUM
easat-9393	117	9	layers	layer	NOUN
easat-9393	117	10	,	,	PUNCT
easat-9393	117	11	which	which	PRON
easat-9393	117	12	include	include	VERB
easat-9393	117	13	13	13	NUM
easat-9393	117	14	convolutional	convolutional	ADJ
easat-9393	117	15	layers	layer	NOUN
easat-9393	117	16	and	and	CCONJ
easat-9393	117	17	3	3	NUM
easat-9393	117	18	fully	fully	ADV
easat-9393	117	19	connected	connected	ADJ
easat-9393	117	20	layers	layer	NOUN
easat-9393	117	21	,	,	PUNCT
easat-9393	117	22	employing	employ	VERB
easat-9393	117	23	diminutive	diminutive	ADJ
easat-9393	117	24	3×3	3×3	NUM
easat-9393	117	25	convolution	convolution	NOUN
easat-9393	117	26	filters	filter	NOUN
easat-9393	117	27	uniformly	uniformly	ADV
easat-9393	117	28	across	across	ADP
easat-9393	117	29	the	the	DET
easat-9393	117	30	network	network	NOUN
easat-9393	117	31	.	.	PUNCT
easat-9393	118	1	this	this	DET
easat-9393	118	2	persistent	persistent	ADJ
easat-9393	118	3	application	application	NOUN
easat-9393	118	4	of	of	ADP
easat-9393	118	5	small	small	ADJ
easat-9393	118	6	filters	filter	NOUN
easat-9393	118	7	facilitates	facilitate	VERB
easat-9393	118	8	the	the	DET
easat-9393	118	9	model	model	NOUN
easat-9393	118	10	's	's	PART
easat-9393	118	11	capacity	capacity	NOUN
easat-9393	118	12	to	to	PART
easat-9393	118	13	capture	capture	VERB
easat-9393	118	14	intricate	intricate	ADJ
easat-9393	118	15	features	feature	NOUN
easat-9393	118	16	while	while	SCONJ
easat-9393	118	17	simultaneously	simultaneously	ADV
easat-9393	118	18	preserving	preserve	VERB
easat-9393	118	19	a	a	DET
easat-9393	118	20	manageable	manageable	ADJ
easat-9393	118	21	parameter	parameter	NOUN
easat-9393	118	22	count	count	NOUN
easat-9393	118	23	.	.	PUNCT
easat-9393	119	1	each	each	DET
easat-9393	119	2	convolutional	convolutional	ADJ
easat-9393	119	3	block	block	NOUN
easat-9393	119	4	is	be	AUX
easat-9393	119	5	succeeded	succeed	VERB
easat-9393	119	6	by	by	ADP
easat-9393	119	7	a	a	DET
easat-9393	119	8	max	max	PROPN
easat-9393	119	9	-	-	PUNCT
easat-9393	119	10	pooling	pool	VERB
easat-9393	119	11	layer	layer	NOUN
easat-9393	119	12	,	,	PUNCT
easat-9393	119	13	which	which	PRON
easat-9393	119	14	serves	serve	VERB
easat-9393	119	15	to	to	PART
easat-9393	119	16	diminish	diminish	VERB
easat-9393	119	17	spatial	spatial	ADJ
easat-9393	119	18	dimensions	dimension	NOUN
easat-9393	119	19	and	and	CCONJ
easat-9393	119	20	enhance	enhance	VERB
easat-9393	119	21	computational	computational	ADJ
easat-9393	119	22	efficiency	efficiency	NOUN
easat-9393	119	23	.	.	PUNCT
easat-9393	120	1	in	in	ADP
easat-9393	120	2	the	the	DET
easat-9393	120	3	context	context	NOUN
easat-9393	120	4	of	of	ADP
easat-9393	120	5	this	this	DET
easat-9393	120	6	study	study	NOUN
easat-9393	120	7	,	,	PUNCT
easat-9393	120	8	vgg16	vgg16	PROPN
easat-9393	120	9	was	be	AUX
easat-9393	120	10	utilized	utilize	VERB
easat-9393	120	11	as	as	ADP
easat-9393	120	12	a	a	DET
easat-9393	120	13	pre	pre	ADJ
easat-9393	120	14	-	-	ADJ
easat-9393	120	15	trained	train	VERB
easat-9393	120	16	model	model	NOUN
easat-9393	120	17	,	,	PUNCT
easat-9393	120	18	with	with	SCONJ
easat-9393	120	19	supplementary	supplementary	ADJ
easat-9393	120	20	dense	dense	ADJ
easat-9393	120	21	and	and	CCONJ
easat-9393	120	22	dropout	dropout	NOUN
easat-9393	120	23	layers	layer	NOUN
easat-9393	120	24	incorporated	incorporate	VERB
easat-9393	120	25	for	for	ADP
easat-9393	120	26	the	the	DET
easat-9393	120	27	classification	classification	NOUN
easat-9393	120	28	of	of	ADP
easat-9393	120	29	coffee	coffee	NOUN
easat-9393	120	30	beans	bean	NOUN
easat-9393	120	31	into	into	ADP
easat-9393	120	32	four	four	NUM
easat-9393	120	33	distinct	distinct	ADJ
easat-9393	120	34	roast	roast	NOUN
easat-9393	120	35	levels	level	NOUN
easat-9393	120	36	.	.	PUNCT
easat-9393	121	1	although	although	SCONJ
easat-9393	121	2	vgg16	vgg16	NOUN
easat-9393	121	3	is	be	AUX
easat-9393	121	4	comparatively	comparatively	ADV
easat-9393	121	5	larger	large	ADJ
easat-9393	121	6	and	and	CCONJ
easat-9393	121	7	less	less	ADV
easat-9393	121	8	computationally	computationally	ADV
easat-9393	121	9	efficient	efficient	ADJ
easat-9393	121	10	than	than	ADP
easat-9393	121	11	more	more	ADJ
easat-9393	121	12	contemporary	contemporary	ADJ
easat-9393	121	13	models	model	NOUN
easat-9393	121	14	such	such	ADJ
easat-9393	121	15	as	as	ADP
easat-9393	121	16	efficientnet	efficientnet	NOUN
easat-9393	121	17	,	,	PUNCT
easat-9393	121	18	it	it	PRON
easat-9393	121	19	continues	continue	VERB
easat-9393	121	20	to	to	PART
easat-9393	121	21	be	be	AUX
easat-9393	121	22	extensively	extensively	ADV
easat-9393	121	23	employed	employ	VERB
easat-9393	121	24	due	due	ADP
easat-9393	121	25	to	to	ADP
easat-9393	121	26	its	its	PRON
easat-9393	121	27	consistent	consistent	ADJ
easat-9393	121	28	performance	performance	NOUN
easat-9393	121	29	and	and	CCONJ
easat-9393	121	30	straightforward	straightforward	ADJ
easat-9393	121	31	architecture	architecture	NOUN
easat-9393	121	32	,	,	PUNCT
easat-9393	121	33	thereby	thereby	ADV
easat-9393	121	34	establishing	establish	VERB
easat-9393	121	35	it	it	PRON
easat-9393	121	36	as	as	ADP
easat-9393	121	37	a	a	DET
easat-9393	121	38	valuable	valuable	ADJ
easat-9393	121	39	benchmark	benchmark	NOUN
easat-9393	121	40	for	for	ADP
easat-9393	121	41	assessing	assess	VERB
easat-9393	121	42	model	model	NOUN
easat-9393	121	43	efficacy	efficacy	NOUN
easat-9393	121	44	in	in	ADP
easat-9393	121	45	the	the	DET
easat-9393	121	46	prediction	prediction	NOUN
easat-9393	121	47	of	of	ADP
easat-9393	121	48	coffee	coffee	NOUN
easat-9393	121	49	bean	bean	NOUN
easat-9393	121	50	quality	quality	NOUN
easat-9393	121	51	.	.	PUNCT
easat-9393	122	1	the	the	DET
easat-9393	122	2	vgg16	vgg16	NOUN
easat-9393	122	3	model	model	NOUN
easat-9393	122	4	was	be	AUX
easat-9393	122	5	pre	pre	ADJ
easat-9393	122	6	-	-	VERB
easat-9393	122	7	trained	train	VERB
easat-9393	122	8	and	and	CCONJ
easat-9393	122	9	modified	modify	VERB
easat-9393	122	10	with	with	ADP
easat-9393	122	11	global	global	ADJ
easat-9393	122	12	average	average	ADJ
easat-9393	122	13	pooling	pooling	NOUN
easat-9393	122	14	,	,	PUNCT
easat-9393	122	15	dense	dense	ADJ
easat-9393	122	16	,	,	PUNCT
easat-9393	122	17	and	and	CCONJ
easat-9393	122	18	dropout	dropout	NOUN
easat-9393	122	19	layers	layer	NOUN
easat-9393	122	20	for	for	ADP
easat-9393	122	21	classification	classification	NOUN
easat-9393	122	22	.	.	PUNCT
easat-9393	123	1	the	the	DET
easat-9393	123	2	model	model	NOUN
easat-9393	123	3	's	's	PART
easat-9393	123	4	architecture	architecture	NOUN
easat-9393	123	5	is	be	AUX
easat-9393	123	6	outlined	outline	VERB
easat-9393	123	7	in	in	ADP
easat-9393	123	8	figure	figure	NOUN
easat-9393	123	9	2	2	NUM
easat-9393	123	10	.	.	PUNCT
easat-9393	124	1	the	the	DET
easat-9393	124	2	vgg16	vgg16	NOUN
easat-9393	124	3	model	model	NOUN
easat-9393	124	4	was	be	AUX
easat-9393	124	5	trained	train	VERB
easat-9393	124	6	for	for	ADP
easat-9393	124	7	100	100	NUM
easat-9393	124	8	epochs	epoch	NOUN
easat-9393	124	9	with	with	ADP
easat-9393	124	10	a	a	DET
easat-9393	124	11	batch	batch	NOUN
easat-9393	124	12	size	size	NOUN
easat-9393	124	13	of	of	ADP
easat-9393	124	14	16	16	NUM
easat-9393	124	15	.	.	PUNCT
easat-9393	125	1	early	early	ADJ
easat-9393	125	2	stopping	stopping	NOUN
easat-9393	125	3	was	be	AUX
easat-9393	125	4	applied	apply	VERB
easat-9393	125	5	with	with	ADP
easat-9393	125	6	a	a	DET
easat-9393	125	7	patience	patience	NOUN
easat-9393	125	8	of	of	ADP
easat-9393	125	9	5	5	NUM
easat-9393	125	10	.	.	PUNCT
easat-9393	125	11	629	629	NUM
easat-9393	125	12	edelweiss	edelweiss	PROPN
easat-9393	125	13	applied	apply	VERB
easat-9393	125	14	science	science	NOUN
easat-9393	125	15	and	and	CCONJ
easat-9393	125	16	technology	technology	NOUN
easat-9393	125	17	issn	issn	PROPN
easat-9393	125	18	:	:	PUNCT
easat-9393	125	19	2576	2576	NUM
easat-9393	125	20	-	-	SYM
easat-9393	125	21	8484	8484	NUM
easat-9393	125	22	vol	vol	NOUN
easat-9393	125	23	.	.	PROPN
easat-9393	126	1	9	9	NUM
easat-9393	126	2	,	,	PUNCT
easat-9393	126	3	no	no	INTJ
easat-9393	126	4	.	.	NOUN
easat-9393	126	5	8	8	NUM
easat-9393	126	6	:	:	PUNCT
easat-9393	126	7	624	624	NUM
easat-9393	126	8	-	-	SYM
easat-9393	126	9	640	640	NUM
easat-9393	126	10	,	,	PUNCT
easat-9393	126	11	2025	2025	NUM
easat-9393	126	12	doi	doi	NOUN
easat-9393	126	13	:	:	PUNCT
easat-9393	126	14	10.55214/2576	10.55214/2576	NUM
easat-9393	126	15	-	-	SYM
easat-9393	126	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	126	17	©	©	PROPN
easat-9393	126	18	2025	2025	NUM
easat-9393	126	19	by	by	ADP
easat-9393	126	20	the	the	DET
easat-9393	126	21	authors	author	NOUN
easat-9393	126	22	;	;	PUNCT
easat-9393	126	23	licensee	licensee	PROPN
easat-9393	126	24	learning	learn	VERB
easat-9393	126	25	gate	gate	NOUN
easat-9393	126	26	figure	figure	NOUN
easat-9393	126	27	2	2	NUM
easat-9393	126	28	.	.	PUNCT
easat-9393	126	29	vgg16	vgg16	NOUN
easat-9393	126	30	layer	layer	NOUN
easat-9393	126	31	configuration	configuration	NOUN
easat-9393	126	32	.	.	PUNCT
easat-9393	127	1	3	3	X
easat-9393	127	2	.	.	X
easat-9393	127	3	results	result	VERB
easat-9393	127	4	this	this	DET
easat-9393	127	5	section	section	NOUN
easat-9393	127	6	presents	present	VERB
easat-9393	127	7	the	the	DET
easat-9393	127	8	results	result	NOUN
easat-9393	127	9	of	of	ADP
easat-9393	127	10	the	the	DET
easat-9393	127	11	four	four	NUM
easat-9393	127	12	deep	deep	ADJ
easat-9393	127	13	learning	learning	NOUN
easat-9393	127	14	models	model	NOUN
easat-9393	127	15	xception	xception	NOUN
easat-9393	127	16	,	,	PUNCT
easat-9393	127	17	resnet50v2	resnet50v2	NOUN
easat-9393	127	18	,	,	PUNCT
easat-9393	127	19	efficientnetb0	efficientnetb0	NOUN
easat-9393	127	20	,	,	PUNCT
easat-9393	127	21	and	and	CCONJ
easat-9393	127	22	vgg16	vgg16	VERB
easat-9393	127	23	for	for	ADP
easat-9393	127	24	predicting	predict	VERB
easat-9393	127	25	coffee	coffee	NOUN
easat-9393	127	26	bean	bean	NOUN
easat-9393	127	27	quality	quality	NOUN
easat-9393	127	28	based	base	VERB
easat-9393	127	29	on	on	ADP
easat-9393	127	30	roast	roast	NOUN
easat-9393	127	31	levels	level	NOUN
easat-9393	127	32	.	.	PUNCT
easat-9393	128	1	the	the	DET
easat-9393	128	2	models	model	NOUN
easat-9393	128	3	were	be	AUX
easat-9393	128	4	evaluated	evaluate	VERB
easat-9393	128	5	using	use	VERB
easat-9393	128	6	two	two	NUM
easat-9393	128	7	datasets	dataset	NOUN
easat-9393	128	8	:	:	PUNCT
easat-9393	128	9	the	the	DET
easat-9393	128	10	kaggle	kaggle	ADJ
easat-9393	128	11	dataset	dataset	NOUN
easat-9393	128	12	and	and	CCONJ
easat-9393	128	13	the	the	DET
easat-9393	128	14	self	self	NOUN
easat-9393	128	15	-	-	PUNCT
easat-9393	128	16	collected	collect	VERB
easat-9393	128	17	dataset	dataset	NOUN
easat-9393	128	18	.	.	PUNCT
easat-9393	129	1	performance	performance	NOUN
easat-9393	129	2	metrics	metric	NOUN
easat-9393	129	3	such	such	ADJ
easat-9393	129	4	as	as	ADP
easat-9393	129	5	accuracy	accuracy	NOUN
easat-9393	129	6	,	,	PUNCT
easat-9393	129	7	precision	precision	NOUN
easat-9393	129	8	,	,	PUNCT
easat-9393	129	9	recall	recall	NOUN
easat-9393	129	10	,	,	PUNCT
easat-9393	129	11	and	and	CCONJ
easat-9393	129	12	f1	f1	NOUN
easat-9393	129	13	-	-	PUNCT
easat-9393	129	14	score	score	NOUN
easat-9393	129	15	were	be	AUX
easat-9393	129	16	used	use	VERB
easat-9393	129	17	to	to	PART
easat-9393	129	18	assess	assess	VERB
easat-9393	129	19	the	the	DET
easat-9393	129	20	models	model	NOUN
easat-9393	129	21	.	.	PUNCT
easat-9393	130	1	additionally	additionally	ADV
easat-9393	130	2	,	,	PUNCT
easat-9393	130	3	confusion	confusion	NOUN
easat-9393	130	4	matrices	matrix	NOUN
easat-9393	130	5	were	be	AUX
easat-9393	130	6	generated	generate	VERB
easat-9393	130	7	to	to	PART
easat-9393	130	8	analyze	analyze	VERB
easat-9393	130	9	classification	classification	NOUN
easat-9393	130	10	behavior	behavior	NOUN
easat-9393	130	11	.	.	PUNCT
easat-9393	131	1	3.1	3.1	NUM
easat-9393	131	2	.	.	PUNCT
easat-9393	131	3	xception	xception	NOUN
easat-9393	131	4	the	the	DET
easat-9393	131	5	xception	xception	NOUN
easat-9393	131	6	-	-	PUNCT
easat-9393	131	7	based	base	VERB
easat-9393	131	8	cnn	cnn	PROPN
easat-9393	131	9	model	model	NOUN
easat-9393	131	10	exhibited	exhibit	VERB
easat-9393	131	11	exceptional	exceptional	ADJ
easat-9393	131	12	efficacy	efficacy	NOUN
easat-9393	131	13	in	in	ADP
easat-9393	131	14	the	the	DET
easat-9393	131	15	classification	classification	NOUN
easat-9393	131	16	of	of	ADP
easat-9393	131	17	post	post	ADJ
easat-9393	131	18	-	-	ADJ
easat-9393	131	19	roasting	roasting	ADJ
easat-9393	131	20	coffee	coffee	NOUN
easat-9393	131	21	beans	bean	NOUN
easat-9393	131	22	,	,	PUNCT
easat-9393	131	23	utilizing	utilize	VERB
easat-9393	131	24	both	both	CCONJ
easat-9393	131	25	the	the	DET
easat-9393	131	26	kaggle	kaggle	ADJ
easat-9393	131	27	dataset	dataset	NOUN
easat-9393	131	28	and	and	CCONJ
easat-9393	131	29	a	a	DET
easat-9393	131	30	dataset	dataset	NOUN
easat-9393	131	31	collected	collect	VERB
easat-9393	131	32	independently	independently	ADV
easat-9393	131	33	.	.	PUNCT
easat-9393	132	1	within	within	ADP
easat-9393	132	2	the	the	DET
easat-9393	132	3	kaggle	kaggle	ADJ
easat-9393	132	4	dataset	dataset	NOUN
easat-9393	132	5	,	,	PUNCT
easat-9393	132	6	the	the	DET
easat-9393	132	7	model	model	NOUN
easat-9393	132	8	attained	attain	VERB
easat-9393	132	9	an	an	DET
easat-9393	132	10	impeccable	impeccable	ADJ
easat-9393	132	11	classification	classification	NOUN
easat-9393	132	12	accuracy	accuracy	NOUN
easat-9393	132	13	of	of	ADP
easat-9393	132	14	100	100	NUM
easat-9393	132	15	%	%	NOUN
easat-9393	132	16	,	,	PUNCT
easat-9393	132	17	successfully	successfully	ADV
easat-9393	132	18	predicting	predict	VERB
easat-9393	132	19	all	all	DET
easat-9393	132	20	images	image	NOUN
easat-9393	132	21	across	across	ADP
easat-9393	132	22	the	the	DET
easat-9393	132	23	four	four	NUM
easat-9393	132	24	defined	define	VERB
easat-9393	132	25	roast	roast	NOUN
easat-9393	132	26	levels	level	NOUN
easat-9393	132	27	:	:	PUNCT
easat-9393	132	28	green	green	ADJ
easat-9393	132	29	,	,	PUNCT
easat-9393	132	30	light	light	ADJ
easat-9393	132	31	,	,	PUNCT
easat-9393	132	32	medium	medium	ADJ
easat-9393	132	33	,	,	PUNCT
easat-9393	132	34	and	and	CCONJ
easat-9393	132	35	dark	dark	ADJ
easat-9393	132	36	.	.	PUNCT
easat-9393	133	1	the	the	DET
easat-9393	133	2	confusion	confusion	NOUN
easat-9393	133	3	matrix	matrix	NOUN
easat-9393	133	4	is	be	AUX
easat-9393	133	5	shown	show	VERB
easat-9393	133	6	in	in	ADP
easat-9393	133	7	figure	figure	NOUN
easat-9393	133	8	6	6	NUM
easat-9393	133	9	.	.	PUNCT
easat-9393	134	1	the	the	DET
easat-9393	134	2	assessment	assessment	NOUN
easat-9393	134	3	metrics	metric	NOUN
easat-9393	134	4	,	,	PUNCT
easat-9393	134	5	encompassing	encompass	VERB
easat-9393	134	6	precision	precision	NOUN
easat-9393	134	7	,	,	PUNCT
easat-9393	134	8	recall	recall	NOUN
easat-9393	134	9	,	,	PUNCT
easat-9393	134	10	and	and	CCONJ
easat-9393	134	11	f1	f1	NOUN
easat-9393	134	12	-	-	PUNCT
easat-9393	134	13	score	score	NOUN
easat-9393	134	14	,	,	PUNCT
easat-9393	134	15	were	be	AUX
easat-9393	134	16	uniformly	uniformly	ADV
easat-9393	134	17	recorded	record	VERB
easat-9393	134	18	at	at	ADP
easat-9393	134	19	1.00	1.00	NUM
easat-9393	134	20	for	for	ADP
easat-9393	134	21	each	each	DET
easat-9393	134	22	class	class	NOUN
easat-9393	134	23	,	,	PUNCT
easat-9393	134	24	signifying	signify	VERB
easat-9393	134	25	an	an	DET
easat-9393	134	26	unblemished	unblemished	ADJ
easat-9393	134	27	performance	performance	NOUN
easat-9393	134	28	as	as	SCONJ
easat-9393	134	29	shown	show	VERB
easat-9393	134	30	in	in	ADP
easat-9393	134	31	table	table	NOUN
easat-9393	134	32	.	.	PUNCT
easat-9393	135	1	the	the	DET
easat-9393	135	2	analysis	analysis	NOUN
easat-9393	135	3	of	of	ADP
easat-9393	135	4	the	the	DET
easat-9393	135	5	confusion	confusion	NOUN
easat-9393	135	6	matrix	matrix	NOUN
easat-9393	135	7	further	far	ADV
easat-9393	135	8	substantiated	substantiate	VERB
easat-9393	135	9	the	the	DET
easat-9393	135	10	absence	absence	NOUN
easat-9393	135	11	of	of	ADP
easat-9393	135	12	misclassifications	misclassification	NOUN
easat-9393	135	13	within	within	ADP
easat-9393	135	14	the	the	DET
easat-9393	135	15	test	test	NOUN
easat-9393	135	16	dataset	dataset	NOUN
easat-9393	135	17	.	.	PUNCT
easat-9393	136	1	figure	figure	NOUN
easat-9393	136	2	6	6	NUM
easat-9393	136	3	.	.	PUNCT
easat-9393	136	4	confusion	confusion	NOUN
easat-9393	136	5	matrix	matrix	NOUN
easat-9393	136	6	for	for	ADP
easat-9393	136	7	xception	xception	NOUN
easat-9393	136	8	with	with	ADP
easat-9393	136	9	kaggle	kaggle	ADJ
easat-9393	136	10	dataset	dataset	NOUN
easat-9393	136	11	.	.	PUNCT
easat-9393	137	1	630	630	NUM
easat-9393	137	2	edelweiss	edelweiss	PROPN
easat-9393	137	3	applied	apply	VERB
easat-9393	137	4	science	science	NOUN
easat-9393	137	5	and	and	CCONJ
easat-9393	137	6	technology	technology	NOUN
easat-9393	137	7	issn	issn	PROPN
easat-9393	137	8	:	:	PUNCT
easat-9393	137	9	2576	2576	NUM
easat-9393	137	10	-	-	SYM
easat-9393	137	11	8484	8484	NUM
easat-9393	137	12	vol	vol	NOUN
easat-9393	137	13	.	.	PROPN
easat-9393	138	1	9	9	NUM
easat-9393	138	2	,	,	PUNCT
easat-9393	138	3	no	no	INTJ
easat-9393	138	4	.	.	NOUN
easat-9393	138	5	8	8	NUM
easat-9393	138	6	:	:	PUNCT
easat-9393	138	7	624	624	NUM
easat-9393	138	8	-	-	SYM
easat-9393	138	9	640	640	NUM
easat-9393	138	10	,	,	PUNCT
easat-9393	138	11	2025	2025	NUM
easat-9393	138	12	doi	doi	NOUN
easat-9393	138	13	:	:	PUNCT
easat-9393	138	14	10.55214/2576	10.55214/2576	NUM
easat-9393	138	15	-	-	SYM
easat-9393	138	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	138	17	©	©	PROPN
easat-9393	138	18	2025	2025	NUM
easat-9393	138	19	by	by	ADP
easat-9393	138	20	the	the	DET
easat-9393	138	21	authors	author	NOUN
easat-9393	138	22	;	;	PUNCT
easat-9393	138	23	licensee	licensee	PROPN
easat-9393	138	24	learning	learn	VERB
easat-9393	138	25	gate	gate	NOUN
easat-9393	138	26	table	table	NOUN
easat-9393	138	27	2	2	NUM
easat-9393	138	28	.	.	PUNCT
easat-9393	138	29	classification	classification	NOUN
easat-9393	138	30	report	report	NOUN
easat-9393	138	31	for	for	ADP
easat-9393	138	32	xception	xception	NOUN
easat-9393	138	33	with	with	ADP
easat-9393	138	34	kaggle	kaggle	ADJ
easat-9393	138	35	dataset	dataset	NOUN
easat-9393	138	36	.	.	PUNCT
easat-9393	139	1	class	class	NOUN
easat-9393	139	2	precision	precision	NOUN
easat-9393	139	3	recall	recall	NOUN
easat-9393	139	4	f1	f1	NOUN
easat-9393	139	5	-	-	PUNCT
easat-9393	139	6	score	score	NOUN
easat-9393	139	7	support	support	NOUN
easat-9393	139	8	dark	dark	ADJ
easat-9393	139	9	1.00	1.00	NUM
easat-9393	139	10	1.00	1.00	NUM
easat-9393	139	11	1.00	1.00	NUM
easat-9393	139	12	100	100	NUM
easat-9393	139	13	green	green	ADJ
easat-9393	139	14	1.00	1.00	NUM
easat-9393	139	15	1.00	1.00	NUM
easat-9393	139	16	1.00	1.00	NUM
easat-9393	139	17	100	100	NUM
easat-9393	139	18	light	light	NOUN
easat-9393	139	19	1.00	1.00	NUM
easat-9393	139	20	1.00	1.00	NUM
easat-9393	139	21	1.00	1.00	NUM
easat-9393	139	22	100	100	NUM
easat-9393	139	23	medium	medium	NOUN
easat-9393	139	24	1.00	1.00	NUM
easat-9393	139	25	1.00	1.00	NUM
easat-9393	139	26	1.00	1.00	NUM
easat-9393	139	27	100	100	NUM
easat-9393	139	28	accuracy	accuracy	NOUN
easat-9393	139	29	1.00	1.00	NUM
easat-9393	139	30	400	400	NUM
easat-9393	139	31	macro	macro	NOUN
easat-9393	139	32	avg	avg	NOUN
easat-9393	139	33	1.00	1.00	NUM
easat-9393	139	34	1.00	1.00	NUM
easat-9393	139	35	1.00	1.00	NUM
easat-9393	139	36	400	400	NUM
easat-9393	139	37	weighted	weight	VERB
easat-9393	139	38	avg	avg	NOUN
easat-9393	139	39	1.00	1.00	NUM
easat-9393	139	40	1.00	1.00	NUM
easat-9393	139	41	1.00	1.00	NUM
easat-9393	139	42	400	400	NUM
easat-9393	139	43	when	when	SCONJ
easat-9393	139	44	evaluated	evaluate	VERB
easat-9393	139	45	on	on	ADP
easat-9393	139	46	the	the	DET
easat-9393	139	47	self	self	NOUN
easat-9393	139	48	-	-	PUNCT
easat-9393	139	49	collected	collect	VERB
easat-9393	139	50	dataset	dataset	NOUN
easat-9393	139	51	,	,	PUNCT
easat-9393	139	52	which	which	PRON
easat-9393	139	53	encompassed	encompass	VERB
easat-9393	139	54	increased	increase	VERB
easat-9393	139	55	variability	variability	NOUN
easat-9393	139	56	in	in	ADP
easat-9393	139	57	terms	term	NOUN
easat-9393	139	58	of	of	ADP
easat-9393	139	59	image	image	NOUN
easat-9393	139	60	acquisition	acquisition	NOUN
easat-9393	139	61	and	and	CCONJ
easat-9393	139	62	background	background	NOUN
easat-9393	139	63	conditions	condition	NOUN
easat-9393	139	64	,	,	PUNCT
easat-9393	139	65	the	the	DET
easat-9393	139	66	model	model	NOUN
easat-9393	139	67	continued	continue	VERB
easat-9393	139	68	to	to	PART
easat-9393	139	69	exhibit	exhibit	VERB
easat-9393	139	70	commendable	commendable	ADJ
easat-9393	139	71	performance	performance	NOUN
easat-9393	139	72	.	.	PUNCT
easat-9393	140	1	it	it	PRON
easat-9393	140	2	secured	secure	VERB
easat-9393	140	3	an	an	DET
easat-9393	140	4	accuracy	accuracy	NOUN
easat-9393	140	5	rate	rate	NOUN
easat-9393	140	6	of	of	ADP
easat-9393	140	7	99.3	99.3	NUM
easat-9393	140	8	%	%	NOUN
easat-9393	140	9	,	,	PUNCT
easat-9393	140	10	with	with	ADP
easat-9393	140	11	precision	precision	NOUN
easat-9393	140	12	and	and	CCONJ
easat-9393	140	13	recall	recall	NOUN
easat-9393	140	14	values	value	NOUN
easat-9393	140	15	ranging	range	VERB
easat-9393	140	16	between	between	ADP
easat-9393	140	17	0.97	0.97	NUM
easat-9393	140	18	and	and	CCONJ
easat-9393	140	19	1.00	1.00	NUM
easat-9393	140	20	across	across	ADP
easat-9393	140	21	the	the	DET
easat-9393	140	22	various	various	ADJ
easat-9393	140	23	roast	roast	NOUN
easat-9393	140	24	classifications	classification	NOUN
easat-9393	140	25	.	.	PUNCT
easat-9393	141	1	the	the	DET
easat-9393	141	2	classification	classification	NOUN
easat-9393	141	3	report	report	NOUN
easat-9393	141	4	in	in	ADP
easat-9393	141	5	table	table	NOUN
easat-9393	141	6	shows	show	VERB
easat-9393	141	7	the	the	DET
easat-9393	141	8	scores	score	NOUN
easat-9393	141	9	for	for	ADP
easat-9393	141	10	precision	precision	NOUN
easat-9393	141	11	,	,	PUNCT
easat-9393	141	12	recall	recall	NOUN
easat-9393	141	13	,	,	PUNCT
easat-9393	141	14	and	and	CCONJ
easat-9393	141	15	f1	f1	NOUN
easat-9393	141	16	-	-	PUNCT
easat-9393	141	17	score	score	NOUN
easat-9393	141	18	across	across	ADP
easat-9393	141	19	all	all	DET
easat-9393	141	20	roast	roast	NOUN
easat-9393	141	21	levels	level	NOUN
easat-9393	141	22	.	.	PUNCT
easat-9393	142	1	the	the	DET
easat-9393	142	2	confusion	confusion	NOUN
easat-9393	142	3	matrix	matrix	NOUN
easat-9393	142	4	in	in	ADP
easat-9393	142	5	figure	figure	NOUN
easat-9393	142	6	shows	show	VERB
easat-9393	142	7	that	that	SCONJ
easat-9393	142	8	a	a	DET
easat-9393	142	9	limited	limited	ADJ
easat-9393	142	10	number	number	NOUN
easat-9393	142	11	of	of	ADP
easat-9393	142	12	images	image	NOUN
easat-9393	142	13	were	be	AUX
easat-9393	142	14	misclassified	misclassifie	VERB
easat-9393	142	15	,	,	PUNCT
easat-9393	142	16	notably	notably	ADV
easat-9393	142	17	within	within	ADP
easat-9393	142	18	the	the	DET
easat-9393	142	19	medium	medium	ADJ
easat-9393	142	20	roast	roast	NOUN
easat-9393	142	21	category	category	NOUN
easat-9393	142	22	,	,	PUNCT
easat-9393	142	23	where	where	SCONJ
easat-9393	142	24	three	three	NUM
easat-9393	142	25	instances	instance	NOUN
easat-9393	142	26	were	be	AUX
easat-9393	142	27	inaccurately	inaccurately	ADV
easat-9393	142	28	predicted	predict	VERB
easat-9393	142	29	as	as	ADP
easat-9393	142	30	either	either	CCONJ
easat-9393	142	31	light	light	NOUN
easat-9393	142	32	or	or	CCONJ
easat-9393	142	33	dark	dark	ADJ
easat-9393	142	34	.	.	PUNCT
easat-9393	143	1	notwithstanding	notwithstanding	ADP
easat-9393	143	2	this	this	DET
easat-9393	143	3	slight	slight	ADJ
easat-9393	143	4	diminution	diminution	NOUN
easat-9393	143	5	in	in	ADP
easat-9393	143	6	performance	performance	NOUN
easat-9393	143	7	,	,	PUNCT
easat-9393	143	8	the	the	DET
easat-9393	143	9	model	model	NOUN
easat-9393	143	10	illustrated	illustrate	VERB
easat-9393	143	11	robust	robust	ADJ
easat-9393	143	12	generalization	generalization	NOUN
easat-9393	143	13	capabilities	capability	NOUN
easat-9393	143	14	across	across	ADP
easat-9393	143	15	datasets	dataset	NOUN
easat-9393	143	16	with	with	ADP
easat-9393	143	17	distinct	distinct	ADJ
easat-9393	143	18	characteristics	characteristic	NOUN
easat-9393	143	19	.	.	PUNCT
easat-9393	144	1	these	these	DET
easat-9393	144	2	findings	finding	NOUN
easat-9393	144	3	underscore	underscore	VERB
easat-9393	144	4	the	the	DET
easat-9393	144	5	xception	xception	NOUN
easat-9393	144	6	-	-	PUNCT
easat-9393	144	7	based	base	VERB
easat-9393	144	8	cnn	cnn	PROPN
easat-9393	144	9	's	's	PART
easat-9393	144	10	efficacy	efficacy	NOUN
easat-9393	144	11	and	and	CCONJ
easat-9393	144	12	resilience	resilience	NOUN
easat-9393	144	13	in	in	ADP
easat-9393	144	14	the	the	DET
easat-9393	144	15	automation	automation	NOUN
easat-9393	144	16	of	of	ADP
easat-9393	144	17	post	post	ADJ
easat-9393	144	18	-	-	ADJ
easat-9393	144	19	roasting	roasting	ADJ
easat-9393	144	20	coffee	coffee	NOUN
easat-9393	144	21	bean	bean	NOUN
easat-9393	144	22	classification	classification	NOUN
easat-9393	144	23	.	.	PUNCT
easat-9393	145	1	figure	figure	NOUN
easat-9393	145	2	7	7	NUM
easat-9393	145	3	.	.	PUNCT
easat-9393	145	4	confusion	confusion	NOUN
easat-9393	145	5	matrix	matrix	NOUN
easat-9393	145	6	for	for	ADP
easat-9393	145	7	xception	xception	NOUN
easat-9393	145	8	with	with	ADP
easat-9393	145	9	self	self	NOUN
easat-9393	145	10	-	-	PUNCT
easat-9393	145	11	collected	collect	VERB
easat-9393	145	12	dataset	dataset	NOUN
easat-9393	145	13	.	.	PUNCT
easat-9393	146	1	table	table	NOUN
easat-9393	146	2	3	3	NUM
easat-9393	146	3	.	.	PUNCT
easat-9393	146	4	classification	classification	NOUN
easat-9393	146	5	report	report	NOUN
easat-9393	146	6	for	for	ADP
easat-9393	146	7	xception	xception	NOUN
easat-9393	146	8	with	with	ADP
easat-9393	146	9	self	self	NOUN
easat-9393	146	10	-	-	PUNCT
easat-9393	146	11	collected	collect	VERB
easat-9393	146	12	dataset	dataset	NOUN
easat-9393	146	13	.	.	PUNCT
easat-9393	147	1	class	class	NOUN
easat-9393	147	2	precision	precision	NOUN
easat-9393	147	3	recall	recall	NOUN
easat-9393	147	4	f1	f1	NOUN
easat-9393	147	5	-	-	PUNCT
easat-9393	147	6	score	score	NOUN
easat-9393	147	7	support	support	NOUN
easat-9393	147	8	dark	dark	ADJ
easat-9393	147	9	0.99	0.99	NUM
easat-9393	147	10	1.00	1.00	NUM
easat-9393	147	11	1.00	1.00	NUM
easat-9393	147	12	107	107	NUM
easat-9393	147	13	green	green	ADJ
easat-9393	147	14	1.00	1.00	NUM
easat-9393	147	15	1.00	1.00	NUM
easat-9393	147	16	1.00	1.00	NUM
easat-9393	147	17	107	107	NUM
easat-9393	147	18	light	light	NOUN
easat-9393	147	19	0.98	0.98	NUM
easat-9393	147	20	1.00	1.00	NUM
easat-9393	147	21	0.99	0.99	NUM
easat-9393	147	22	107	107	NUM
easat-9393	147	23	medium	medium	NOUN
easat-9393	147	24	1.00	1.00	NUM
easat-9393	147	25	0.97	0.97	NUM
easat-9393	147	26	0.99	0.99	NUM
easat-9393	147	27	107	107	NUM
easat-9393	147	28	accuracy	accuracy	NOUN
easat-9393	147	29	0.99	0.99	NUM
easat-9393	147	30	428	428	NUM
easat-9393	147	31	macro	macro	NOUN
easat-9393	147	32	avg	avg	NOUN
easat-9393	147	33	0.99	0.99	NUM
easat-9393	147	34	0.99	0.99	NUM
easat-9393	147	35	0.99	0.99	NUM
easat-9393	147	36	428	428	NUM
easat-9393	147	37	weighted	weight	VERB
easat-9393	147	38	avg	avg	NOUN
easat-9393	147	39	0.99	0.99	NUM
easat-9393	147	40	0.99	0.99	NUM
easat-9393	147	41	0.99	0.99	NUM
easat-9393	147	42	428	428	NUM
easat-9393	147	43	631	631	NUM
easat-9393	147	44	edelweiss	edelweiss	PROPN
easat-9393	147	45	applied	apply	VERB
easat-9393	147	46	science	science	NOUN
easat-9393	147	47	and	and	CCONJ
easat-9393	147	48	technology	technology	NOUN
easat-9393	147	49	issn	issn	PROPN
easat-9393	147	50	:	:	PUNCT
easat-9393	147	51	2576	2576	NUM
easat-9393	147	52	-	-	SYM
easat-9393	147	53	8484	8484	NUM
easat-9393	147	54	vol	vol	NOUN
easat-9393	147	55	.	.	PROPN
easat-9393	148	1	9	9	NUM
easat-9393	148	2	,	,	PUNCT
easat-9393	148	3	no	no	INTJ
easat-9393	148	4	.	.	NOUN
easat-9393	148	5	8	8	NUM
easat-9393	148	6	:	:	PUNCT
easat-9393	148	7	624	624	NUM
easat-9393	148	8	-	-	SYM
easat-9393	148	9	640	640	NUM
easat-9393	148	10	,	,	PUNCT
easat-9393	148	11	2025	2025	NUM
easat-9393	148	12	doi	doi	NOUN
easat-9393	148	13	:	:	PUNCT
easat-9393	148	14	10.55214/2576	10.55214/2576	NUM
easat-9393	148	15	-	-	SYM
easat-9393	148	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	148	17	©	©	PROPN
easat-9393	148	18	2025	2025	NUM
easat-9393	148	19	by	by	ADP
easat-9393	148	20	the	the	DET
easat-9393	148	21	authors	author	NOUN
easat-9393	148	22	;	;	PUNCT
easat-9393	148	23	licensee	licensee	PROPN
easat-9393	148	24	learning	learning	NOUN
easat-9393	148	25	gate	gate	NOUN
easat-9393	148	26	3.2	3.2	NUM
easat-9393	148	27	.	.	PUNCT
easat-9393	149	1	efficientnetb0	efficientnetb0	NOUN
easat-9393	149	2	the	the	DET
easat-9393	149	3	efficientnetb0	efficientnetb0	PROPN
easat-9393	149	4	model	model	NOUN
easat-9393	149	5	exhibited	exhibit	VERB
easat-9393	149	6	exceptional	exceptional	ADJ
easat-9393	149	7	efficacy	efficacy	NOUN
easat-9393	149	8	in	in	ADP
easat-9393	149	9	the	the	DET
easat-9393	149	10	classification	classification	NOUN
easat-9393	149	11	of	of	ADP
easat-9393	149	12	post	post	ADJ
easat-9393	149	13	-	-	ADJ
easat-9393	149	14	roasting	roasting	ADJ
easat-9393	149	15	coffee	coffee	NOUN
easat-9393	149	16	bean	bean	NOUN
easat-9393	149	17	imagery	imagery	NOUN
easat-9393	149	18	.	.	PUNCT
easat-9393	150	1	within	within	ADP
easat-9393	150	2	the	the	DET
easat-9393	150	3	kaggle	kaggle	ADJ
easat-9393	150	4	dataset	dataset	NOUN
easat-9393	150	5	,	,	PUNCT
easat-9393	150	6	the	the	DET
easat-9393	150	7	model	model	NOUN
easat-9393	150	8	secured	secure	VERB
easat-9393	150	9	a	a	DET
easat-9393	150	10	flawless	flawless	ADJ
easat-9393	150	11	accuracy	accuracy	NOUN
easat-9393	150	12	rate	rate	NOUN
easat-9393	150	13	of	of	ADP
easat-9393	150	14	100	100	NUM
easat-9393	150	15	%	%	NOUN
easat-9393	150	16	,	,	PUNCT
easat-9393	150	17	with	with	SCONJ
easat-9393	150	18	every	every	DET
easat-9393	150	19	test	test	NOUN
easat-9393	150	20	instance	instance	NOUN
easat-9393	150	21	accurately	accurately	ADV
easat-9393	150	22	categorized	categorize	VERB
easat-9393	150	23	into	into	ADP
easat-9393	150	24	the	the	DET
easat-9393	150	25	four	four	NUM
easat-9393	150	26	distinct	distinct	ADJ
easat-9393	150	27	roast	roast	NOUN
easat-9393	150	28	classifications	classification	NOUN
easat-9393	150	29	:	:	PUNCT
easat-9393	150	30	green	green	ADJ
easat-9393	150	31	,	,	PUNCT
easat-9393	150	32	light	light	ADJ
easat-9393	150	33	,	,	PUNCT
easat-9393	150	34	medium	medium	ADJ
easat-9393	150	35	,	,	PUNCT
easat-9393	150	36	and	and	CCONJ
easat-9393	150	37	dark	dark	ADJ
easat-9393	150	38	.	.	PUNCT
easat-9393	151	1	the	the	DET
easat-9393	151	2	confusion	confusion	NOUN
easat-9393	151	3	matrix	matrix	NOUN
easat-9393	151	4	is	be	AUX
easat-9393	151	5	shown	show	VERB
easat-9393	151	6	in	in	ADP
easat-9393	151	7	figure	figure	NOUN
easat-9393	151	8	.	.	PUNCT
easat-9393	152	1	from	from	ADP
easat-9393	152	2	the	the	DET
easat-9393	152	3	classification	classification	NOUN
easat-9393	152	4	report	report	NOUN
easat-9393	152	5	shown	show	VERB
easat-9393	152	6	in	in	ADP
easat-9393	152	7	table	table	NOUN
easat-9393	152	8	,	,	PUNCT
easat-9393	152	9	the	the	DET
easat-9393	152	10	precision	precision	NOUN
easat-9393	152	11	,	,	PUNCT
easat-9393	152	12	recall	recall	NOUN
easat-9393	152	13	,	,	PUNCT
easat-9393	152	14	and	and	CCONJ
easat-9393	152	15	f1	f1	NOUN
easat-9393	152	16	-	-	PUNCT
easat-9393	152	17	score	score	NOUN
easat-9393	152	18	for	for	ADP
easat-9393	152	19	each	each	DET
easat-9393	152	20	category	category	NOUN
easat-9393	152	21	were	be	AUX
easat-9393	152	22	uniformly	uniformly	ADV
easat-9393	152	23	recorded	record	VERB
easat-9393	152	24	at	at	ADP
easat-9393	152	25	1.00	1.00	NUM
easat-9393	152	26	,	,	PUNCT
easat-9393	152	27	thereby	thereby	ADV
easat-9393	152	28	signifying	signify	VERB
easat-9393	152	29	that	that	SCONJ
easat-9393	152	30	the	the	DET
easat-9393	152	31	model	model	NOUN
easat-9393	152	32	has	have	AUX
easat-9393	152	33	impeccably	impeccably	ADV
easat-9393	152	34	assimilated	assimilate	VERB
easat-9393	152	35	the	the	DET
easat-9393	152	36	distributional	distributional	ADJ
easat-9393	152	37	and	and	CCONJ
easat-9393	152	38	visual	visual	ADJ
easat-9393	152	39	attributes	attribute	NOUN
easat-9393	152	40	of	of	ADP
easat-9393	152	41	the	the	DET
easat-9393	152	42	dataset	dataset	NOUN
easat-9393	152	43	.	.	PUNCT
easat-9393	153	1	the	the	DET
easat-9393	153	2	confusion	confusion	NOUN
easat-9393	153	3	matrix	matrix	NOUN
easat-9393	153	4	indicated	indicate	VERB
easat-9393	153	5	an	an	DET
easat-9393	153	6	absence	absence	NOUN
easat-9393	153	7	of	of	ADP
easat-9393	153	8	misclassifications	misclassification	NOUN
easat-9393	153	9	,	,	PUNCT
easat-9393	153	10	while	while	SCONJ
easat-9393	153	11	the	the	DET
easat-9393	153	12	accuracy	accuracy	NOUN
easat-9393	153	13	and	and	CCONJ
easat-9393	153	14	loss	loss	NOUN
easat-9393	153	15	trajectories	trajectory	NOUN
easat-9393	153	16	illustrated	illustrate	VERB
easat-9393	153	17	a	a	DET
easat-9393	153	18	consistent	consistent	ADJ
easat-9393	153	19	and	and	CCONJ
easat-9393	153	20	stable	stable	ADJ
easat-9393	153	21	learning	learning	NOUN
easat-9393	153	22	trajectory	trajectory	NOUN
easat-9393	153	23	throughout	throughout	ADP
easat-9393	153	24	the	the	DET
easat-9393	153	25	training	training	NOUN
easat-9393	153	26	phase	phase	NOUN
easat-9393	153	27	.	.	PUNCT
easat-9393	154	1	figure	figure	NOUN
easat-9393	154	2	8	8	NUM
easat-9393	154	3	.	.	PUNCT
easat-9393	155	1	confusion	confusion	NOUN
easat-9393	155	2	matrix	matrix	NOUN
easat-9393	155	3	for	for	ADP
easat-9393	155	4	efficientnetb0	efficientnetb0	NOUN
easat-9393	155	5	with	with	ADP
easat-9393	155	6	kaggle	kaggle	ADJ
easat-9393	155	7	dataset	dataset	NOUN
easat-9393	155	8	.	.	PUNCT
easat-9393	156	1	table	table	NOUN
easat-9393	156	2	4	4	NUM
easat-9393	156	3	.	.	PUNCT
easat-9393	157	1	classification	classification	NOUN
easat-9393	157	2	report	report	NOUN
easat-9393	157	3	for	for	ADP
easat-9393	157	4	efficientnetb0	efficientnetb0	NOUN
easat-9393	157	5	with	with	ADP
easat-9393	157	6	kaggle	kaggle	ADJ
easat-9393	157	7	dataset	dataset	NOUN
easat-9393	157	8	.	.	PUNCT
easat-9393	158	1	class	class	NOUN
easat-9393	158	2	precision	precision	NOUN
easat-9393	158	3	recall	recall	NOUN
easat-9393	158	4	f1	f1	NOUN
easat-9393	158	5	-	-	PUNCT
easat-9393	158	6	score	score	NOUN
easat-9393	158	7	support	support	NOUN
easat-9393	158	8	dark	dark	ADJ
easat-9393	158	9	1.00	1.00	NUM
easat-9393	158	10	1.00	1.00	NUM
easat-9393	158	11	1.00	1.00	NUM
easat-9393	158	12	100	100	NUM
easat-9393	158	13	green	green	ADJ
easat-9393	158	14	1.00	1.00	NUM
easat-9393	158	15	1.00	1.00	NUM
easat-9393	158	16	1.00	1.00	NUM
easat-9393	158	17	100	100	NUM
easat-9393	158	18	light	light	NOUN
easat-9393	158	19	1.00	1.00	NUM
easat-9393	158	20	1.00	1.00	NUM
easat-9393	158	21	1.00	1.00	NUM
easat-9393	158	22	100	100	NUM
easat-9393	158	23	medium	medium	NOUN
easat-9393	158	24	1.00	1.00	NUM
easat-9393	158	25	1.00	1.00	NUM
easat-9393	158	26	1.00	1.00	NUM
easat-9393	158	27	100	100	NUM
easat-9393	158	28	accuracy	accuracy	NOUN
easat-9393	158	29	1.00	1.00	NUM
easat-9393	158	30	400	400	NUM
easat-9393	158	31	macro	macro	NOUN
easat-9393	158	32	avg	avg	NOUN
easat-9393	158	33	1.00	1.00	NUM
easat-9393	158	34	1.00	1.00	NUM
easat-9393	158	35	1.00	1.00	NUM
easat-9393	158	36	400	400	NUM
easat-9393	158	37	weighted	weight	VERB
easat-9393	158	38	avg	avg	NOUN
easat-9393	158	39	1.00	1.00	NUM
easat-9393	158	40	1.00	1.00	NUM
easat-9393	158	41	1.00	1.00	NUM
easat-9393	158	42	400	400	NUM
easat-9393	158	43	upon	upon	SCONJ
easat-9393	158	44	assessment	assessment	NOUN
easat-9393	158	45	with	with	ADP
easat-9393	158	46	the	the	DET
easat-9393	158	47	self	self	NOUN
easat-9393	158	48	-	-	PUNCT
easat-9393	158	49	collected	collect	VERB
easat-9393	158	50	dataset	dataset	NOUN
easat-9393	158	51	,	,	PUNCT
easat-9393	158	52	which	which	PRON
easat-9393	158	53	comprised	comprise	VERB
easat-9393	158	54	images	image	NOUN
easat-9393	158	55	procured	procure	VERB
easat-9393	158	56	via	via	ADP
easat-9393	158	57	flatbed	flatbe	VERB
easat-9393	158	58	scanning	scanning	NOUN
easat-9393	158	59	under	under	ADP
easat-9393	158	60	meticulously	meticulously	ADV
easat-9393	158	61	controlled	control	VERB
easat-9393	158	62	lighting	lighting	NOUN
easat-9393	158	63	conditions	condition	NOUN
easat-9393	158	64	,	,	PUNCT
easat-9393	158	65	the	the	DET
easat-9393	158	66	efficientnetb0	efficientnetb0	NOUN
easat-9393	158	67	model	model	NOUN
easat-9393	158	68	sustained	sustain	VERB
easat-9393	158	69	its	its	PRON
easat-9393	158	70	robust	robust	ADJ
easat-9393	158	71	performance	performance	NOUN
easat-9393	158	72	.	.	PUNCT
easat-9393	159	1	it	it	PRON
easat-9393	159	2	achieved	achieve	VERB
easat-9393	159	3	a	a	DET
easat-9393	159	4	classification	classification	NOUN
easat-9393	159	5	accuracy	accuracy	NOUN
easat-9393	159	6	rate	rate	NOUN
easat-9393	159	7	of	of	ADP
easat-9393	159	8	99.07	99.07	NUM
easat-9393	159	9	%	%	NOUN
easat-9393	159	10	,	,	PUNCT
easat-9393	159	11	with	with	ADP
easat-9393	159	12	the	the	DET
easat-9393	159	13	majority	majority	NOUN
easat-9393	159	14	of	of	ADP
easat-9393	159	15	classes	class	NOUN
easat-9393	159	16	displaying	display	VERB
easat-9393	159	17	near	near	ADV
easat-9393	159	18	-	-	PUNCT
easat-9393	159	19	optimal	optimal	ADJ
easat-9393	159	20	precision	precision	NOUN
easat-9393	159	21	and	and	CCONJ
easat-9393	159	22	recall	recall	NOUN
easat-9393	159	23	metrics	metric	NOUN
easat-9393	159	24	.	.	PUNCT
easat-9393	160	1	confusion	confusion	NOUN
easat-9393	160	2	matrix	matrix	NOUN
easat-9393	160	3	in	in	ADP
easat-9393	160	4	figure	figure	NOUN
easat-9393	160	5	shows	show	VERB
easat-9393	160	6	that	that	SCONJ
easat-9393	160	7	a	a	DET
easat-9393	160	8	minimal	minimal	ADJ
easat-9393	160	9	number	number	NOUN
easat-9393	160	10	of	of	ADP
easat-9393	160	11	misclassifications	misclassification	NOUN
easat-9393	160	12	were	be	AUX
easat-9393	160	13	noted	note	VERB
easat-9393	160	14	,	,	PUNCT
easat-9393	160	15	primarily	primarily	ADV
easat-9393	160	16	involving	involve	VERB
easat-9393	160	17	medium	medium	ADJ
easat-9393	160	18	roast	roast	NOUN
easat-9393	160	19	beans	bean	NOUN
easat-9393	160	20	being	be	AUX
easat-9393	160	21	erroneously	erroneously	ADV
easat-9393	160	22	632	632	NUM
easat-9393	160	23	edelweiss	edelweiss	PROPN
easat-9393	160	24	applied	apply	VERB
easat-9393	160	25	science	science	NOUN
easat-9393	160	26	and	and	CCONJ
easat-9393	160	27	technology	technology	NOUN
easat-9393	160	28	issn	issn	PROPN
easat-9393	160	29	:	:	PUNCT
easat-9393	160	30	2576	2576	NUM
easat-9393	160	31	-	-	SYM
easat-9393	160	32	8484	8484	NUM
easat-9393	160	33	vol	vol	NOUN
easat-9393	160	34	.	.	PROPN
easat-9393	161	1	9	9	NUM
easat-9393	161	2	,	,	PUNCT
easat-9393	161	3	no	no	INTJ
easat-9393	161	4	.	.	NOUN
easat-9393	161	5	8	8	NUM
easat-9393	161	6	:	:	PUNCT
easat-9393	161	7	624	624	NUM
easat-9393	161	8	-	-	SYM
easat-9393	161	9	640	640	NUM
easat-9393	161	10	,	,	PUNCT
easat-9393	161	11	2025	2025	NUM
easat-9393	161	12	doi	doi	NOUN
easat-9393	161	13	:	:	PUNCT
easat-9393	161	14	10.55214/2576	10.55214/2576	NUM
easat-9393	161	15	-	-	SYM
easat-9393	161	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	161	17	©	©	PROPN
easat-9393	161	18	2025	2025	NUM
easat-9393	161	19	by	by	ADP
easat-9393	161	20	the	the	DET
easat-9393	161	21	authors	author	NOUN
easat-9393	161	22	;	;	PUNCT
easat-9393	161	23	licensee	licensee	PROPN
easat-9393	161	24	learning	learning	NOUN
easat-9393	161	25	gate	gate	NOUN
easat-9393	161	26	categorized	categorize	VERB
easat-9393	161	27	alongside	alongside	ADP
easat-9393	161	28	adjacent	adjacent	ADJ
easat-9393	161	29	roast	roast	NOUN
easat-9393	161	30	classifications	classification	NOUN
easat-9393	161	31	.	.	PUNCT
easat-9393	162	1	based	base	VERB
easat-9393	162	2	on	on	ADP
easat-9393	162	3	the	the	DET
easat-9393	162	4	classification	classification	NOUN
easat-9393	162	5	report	report	NOUN
easat-9393	162	6	in	in	ADP
easat-9393	162	7	table	table	NOUN
easat-9393	162	8	,	,	PUNCT
easat-9393	162	9	the	the	DET
easat-9393	162	10	model	model	NOUN
easat-9393	162	11	demonstrated	demonstrate	VERB
easat-9393	162	12	impeccable	impeccable	ADJ
easat-9393	162	13	precision	precision	NOUN
easat-9393	162	14	,	,	PUNCT
easat-9393	162	15	recall	recall	NOUN
easat-9393	162	16	,	,	PUNCT
easat-9393	162	17	and	and	CCONJ
easat-9393	162	18	f1	f1	NOUN
easat-9393	162	19	-	-	PUNCT
easat-9393	162	20	score	score	NOUN
easat-9393	162	21	of	of	ADP
easat-9393	162	22	1.00	1.00	NUM
easat-9393	162	23	for	for	ADP
easat-9393	162	24	the	the	DET
easat-9393	162	25	green	green	ADJ
easat-9393	162	26	roast	roast	NOUN
easat-9393	162	27	category	category	NOUN
easat-9393	162	28	,	,	PUNCT
easat-9393	162	29	whereas	whereas	SCONJ
easat-9393	162	30	the	the	DET
easat-9393	162	31	light	light	NOUN
easat-9393	162	32	and	and	CCONJ
easat-9393	162	33	dark	dark	ADJ
easat-9393	162	34	roast	roast	NOUN
easat-9393	162	35	classifications	classification	NOUN
easat-9393	162	36	also	also	ADV
easat-9393	162	37	exhibited	exhibit	VERB
easat-9393	162	38	commendable	commendable	ADJ
easat-9393	162	39	outcomes	outcome	NOUN
easat-9393	162	40	with	with	ADP
easat-9393	162	41	f1	f1	NOUN
easat-9393	162	42	-	-	PUNCT
easat-9393	162	43	scores	score	NOUN
easat-9393	162	44	of	of	ADP
easat-9393	162	45	0.99	0.99	NUM
easat-9393	162	46	.	.	PUNCT
easat-9393	163	1	the	the	DET
easat-9393	163	2	medium	medium	ADJ
easat-9393	163	3	roast	roast	NOUN
easat-9393	163	4	classification	classification	NOUN
easat-9393	163	5	,	,	PUNCT
easat-9393	163	6	however	however	ADV
easat-9393	163	7	,	,	PUNCT
easat-9393	163	8	exhibited	exhibit	VERB
easat-9393	163	9	a	a	DET
easat-9393	163	10	marginally	marginally	ADV
easat-9393	163	11	diminished	diminish	VERB
easat-9393	163	12	performance	performance	NOUN
easat-9393	163	13	,	,	PUNCT
easat-9393	163	14	characterized	characterize	VERB
easat-9393	163	15	by	by	ADP
easat-9393	163	16	a	a	DET
easat-9393	163	17	precision	precision	NOUN
easat-9393	163	18	of	of	ADP
easat-9393	163	19	0.98	0.98	NUM
easat-9393	163	20	,	,	PUNCT
easat-9393	163	21	a	a	DET
easat-9393	163	22	recall	recall	NOUN
easat-9393	163	23	of	of	ADP
easat-9393	163	24	0.98	0.98	NUM
easat-9393	163	25	,	,	PUNCT
easat-9393	163	26	and	and	CCONJ
easat-9393	163	27	an	an	DET
easat-9393	163	28	f1	f1	NOUN
easat-9393	163	29	-	-	PUNCT
easat-9393	163	30	score	score	NOUN
easat-9393	163	31	of	of	ADP
easat-9393	163	32	0.98	0.98	NUM
easat-9393	163	33	,	,	PUNCT
easat-9393	163	34	attributable	attributable	ADJ
easat-9393	163	35	to	to	ADP
easat-9393	163	36	minor	minor	ADJ
easat-9393	163	37	misclassifications	misclassification	NOUN
easat-9393	163	38	involving	involve	VERB
easat-9393	163	39	adjacent	adjacent	ADJ
easat-9393	163	40	roast	roast	NOUN
easat-9393	163	41	categories	category	NOUN
easat-9393	163	42	.	.	PUNCT
easat-9393	164	1	notwithstanding	notwithstanding	ADP
easat-9393	164	2	the	the	DET
easat-9393	164	3	slight	slight	ADJ
easat-9393	164	4	decline	decline	NOUN
easat-9393	164	5	in	in	ADP
easat-9393	164	6	accuracy	accuracy	NOUN
easat-9393	164	7	relative	relative	ADJ
easat-9393	164	8	to	to	ADP
easat-9393	164	9	the	the	DET
easat-9393	164	10	kaggle	kaggle	ADJ
easat-9393	164	11	dataset	dataset	NOUN
easat-9393	164	12	,	,	PUNCT
easat-9393	164	13	the	the	DET
easat-9393	164	14	model	model	NOUN
easat-9393	164	15	preserved	preserve	VERB
easat-9393	164	16	a	a	DET
easat-9393	164	17	commendable	commendable	ADJ
easat-9393	164	18	degree	degree	NOUN
easat-9393	164	19	of	of	ADP
easat-9393	164	20	generalization	generalization	NOUN
easat-9393	164	21	,	,	PUNCT
easat-9393	164	22	thus	thus	ADV
easat-9393	164	23	exhibiting	exhibit	VERB
easat-9393	164	24	its	its	PRON
easat-9393	164	25	resilience	resilience	NOUN
easat-9393	164	26	to	to	ADP
easat-9393	164	27	variations	variation	NOUN
easat-9393	164	28	in	in	ADP
easat-9393	164	29	image	image	NOUN
easat-9393	164	30	quality	quality	NOUN
easat-9393	164	31	and	and	CCONJ
easat-9393	164	32	acquisition	acquisition	NOUN
easat-9393	164	33	methodologies	methodology	NOUN
easat-9393	164	34	.	.	PUNCT
easat-9393	165	1	these	these	DET
easat-9393	165	2	findings	finding	NOUN
easat-9393	165	3	substantiate	substantiate	VERB
easat-9393	165	4	that	that	SCONJ
easat-9393	165	5	efficientnetb0	efficientnetb0	PROPN
easat-9393	165	6	constitutes	constitute	VERB
easat-9393	165	7	a	a	DET
easat-9393	165	8	highly	highly	ADV
easat-9393	165	9	dependable	dependable	ADJ
easat-9393	165	10	and	and	CCONJ
easat-9393	165	11	efficient	efficient	ADJ
easat-9393	165	12	framework	framework	NOUN
easat-9393	165	13	for	for	ADP
easat-9393	165	14	the	the	DET
easat-9393	165	15	automation	automation	NOUN
easat-9393	165	16	of	of	ADP
easat-9393	165	17	roast	roast	NOUN
easat-9393	165	18	-	-	PUNCT
easat-9393	165	19	level	level	NOUN
easat-9393	165	20	classification	classification	NOUN
easat-9393	165	21	of	of	ADP
easat-9393	165	22	coffee	coffee	NOUN
easat-9393	165	23	beans	bean	NOUN
easat-9393	165	24	across	across	ADP
easat-9393	165	25	varying	vary	VERB
easat-9393	165	26	contexts	context	NOUN
easat-9393	165	27	.	.	PUNCT
easat-9393	166	1	figure	figure	NOUN
easat-9393	166	2	9	9	NUM
easat-9393	166	3	.	.	PUNCT
easat-9393	166	4	confusion	confusion	NOUN
easat-9393	166	5	matrix	matrix	NOUN
easat-9393	166	6	for	for	ADP
easat-9393	166	7	efficientnetb0	efficientnetb0	NOUN
easat-9393	166	8	with	with	ADP
easat-9393	166	9	self	self	NOUN
easat-9393	166	10	-	-	PUNCT
easat-9393	166	11	collected	collect	VERB
easat-9393	166	12	dataset	dataset	NOUN
easat-9393	166	13	.	.	PUNCT
easat-9393	167	1	table	table	NOUN
easat-9393	167	2	5	5	NUM
easat-9393	167	3	.	.	PUNCT
easat-9393	168	1	classification	classification	NOUN
easat-9393	168	2	report	report	NOUN
easat-9393	168	3	for	for	ADP
easat-9393	168	4	efficientnetb0	efficientnetb0	NOUN
easat-9393	168	5	with	with	ADP
easat-9393	168	6	self	self	NOUN
easat-9393	168	7	-	-	PUNCT
easat-9393	168	8	collected	collect	VERB
easat-9393	168	9	dataset	dataset	NOUN
easat-9393	168	10	.	.	PUNCT
easat-9393	169	1	class	class	NOUN
easat-9393	169	2	precision	precision	NOUN
easat-9393	169	3	recall	recall	NOUN
easat-9393	169	4	f1	f1	NOUN
easat-9393	169	5	-	-	PUNCT
easat-9393	169	6	score	score	NOUN
easat-9393	169	7	support	support	NOUN
easat-9393	169	8	dark	dark	ADJ
easat-9393	169	9	1.00	1.00	NUM
easat-9393	169	10	0.98	0.98	NUM
easat-9393	169	11	0.99	0.99	NUM
easat-9393	169	12	107	107	NUM
easat-9393	169	13	green	green	ADJ
easat-9393	169	14	1.00	1.00	NUM
easat-9393	169	15	1.00	1.00	NUM
easat-9393	169	16	1.00	1.00	NUM
easat-9393	169	17	107	107	NUM
easat-9393	169	18	light	light	NOUN
easat-9393	169	19	0.98	0.98	NUM
easat-9393	169	20	1.00	1.00	NUM
easat-9393	169	21	0.99	0.99	NUM
easat-9393	169	22	107	107	NUM
easat-9393	169	23	medium	medium	NOUN
easat-9393	169	24	0.98	0.98	NUM
easat-9393	169	25	0.98	0.98	NUM
easat-9393	169	26	0.98	0.98	NUM
easat-9393	169	27	107	107	NUM
easat-9393	169	28	accuracy	accuracy	NOUN
easat-9393	169	29	0.99	0.99	NUM
easat-9393	169	30	428	428	NUM
easat-9393	169	31	macro	macro	NOUN
easat-9393	169	32	avg	avg	NOUN
easat-9393	169	33	0.99	0.99	NUM
easat-9393	169	34	0.99	0.99	NUM
easat-9393	169	35	0.99	0.99	NUM
easat-9393	169	36	428	428	NUM
easat-9393	169	37	weighted	weight	VERB
easat-9393	169	38	avg	avg	NOUN
easat-9393	169	39	0.99	0.99	NUM
easat-9393	169	40	0.99	0.99	NUM
easat-9393	169	41	0.99	0.99	NUM
easat-9393	169	42	428	428	NUM
easat-9393	169	43	3.3	3.3	NUM
easat-9393	169	44	.	.	PUNCT
easat-9393	170	1	residual	residual	ADJ
easat-9393	170	2	networks	network	NOUN
easat-9393	170	3	(	(	PUNCT
easat-9393	170	4	resnet	resnet	NOUN
easat-9393	170	5	)	)	PUNCT
easat-9393	170	6	in	in	ADP
easat-9393	170	7	the	the	DET
easat-9393	170	8	kaggle	kaggle	ADJ
easat-9393	170	9	dataset	dataset	NOUN
easat-9393	170	10	,	,	PUNCT
easat-9393	170	11	the	the	DET
easat-9393	170	12	resnet50v2	resnet50v2	NOUN
easat-9393	170	13	architecture	architecture	NOUN
easat-9393	170	14	exhibited	exhibit	VERB
easat-9393	170	15	remarkable	remarkable	ADJ
easat-9393	170	16	efficacy	efficacy	NOUN
easat-9393	170	17	,	,	PUNCT
easat-9393	170	18	attaining	attain	VERB
easat-9393	170	19	an	an	DET
easat-9393	170	20	overall	overall	ADJ
easat-9393	170	21	classification	classification	NOUN
easat-9393	170	22	accuracy	accuracy	NOUN
easat-9393	170	23	of	of	ADP
easat-9393	170	24	99.25	99.25	NUM
easat-9393	170	25	%	%	NOUN
easat-9393	170	26	,	,	PUNCT
easat-9393	170	27	which	which	PRON
easat-9393	170	28	is	be	AUX
easat-9393	170	29	closely	closely	ADV
easat-9393	170	30	aligned	align	VERB
easat-9393	170	31	with	with	ADP
easat-9393	170	32	the	the	DET
easat-9393	170	33	performance	performance	NOUN
easat-9393	170	34	exhibited	exhibit	VERB
easat-9393	170	35	by	by	ADP
easat-9393	170	36	the	the	DET
easat-9393	170	37	xception	xception	NOUN
easat-9393	170	38	-	-	PUNCT
easat-9393	170	39	based	base	VERB
easat-9393	170	40	cnn	cnn	PROPN
easat-9393	170	41	and	and	CCONJ
easat-9393	170	42	the	the	DET
easat-9393	170	43	efficientnetb0	efficientnetb0	NOUN
easat-9393	170	44	models	model	NOUN
easat-9393	170	45	,	,	PUNCT
easat-9393	170	46	both	both	PRON
easat-9393	170	47	of	of	ADP
easat-9393	170	48	which	which	PRON
easat-9393	170	49	reached	reach	VERB
easat-9393	170	50	a	a	DET
easat-9393	170	51	perfect	perfect	ADJ
easat-9393	170	52	accuracy	accuracy	NOUN
easat-9393	170	53	of	of	ADP
easat-9393	170	54	100	100	NUM
easat-9393	170	55	%	%	NOUN
easat-9393	170	56	.	.	PUNCT
easat-9393	171	1	figure	figure	NOUN
easat-9393	171	2	shows	show	VERB
easat-9393	171	3	the	the	DET
easat-9393	171	4	confusion	confusion	NOUN
easat-9393	171	5	matrix	matrix	NOUN
easat-9393	171	6	,	,	PUNCT
easat-9393	171	7	and	and	CCONJ
easat-9393	171	8	table	table	NOUN
easat-9393	171	9	presents	present	VERB
easat-9393	171	10	the	the	DET
easat-9393	171	11	classification	classification	NOUN
easat-9393	171	12	report	report	NOUN
easat-9393	171	13	.	.	PUNCT
easat-9393	172	1	the	the	DET
easat-9393	172	2	resnet50v2	resnet50v2	PROPN
easat-9393	172	3	model	model	NOUN
easat-9393	172	4	achieved	achieve	VERB
easat-9393	172	5	near	near	ADP
easat-9393	172	6	-	-	PUNCT
easat-9393	172	7	optimal	optimal	ADJ
easat-9393	172	8	precision	precision	NOUN
easat-9393	172	9	,	,	PUNCT
easat-9393	172	10	recall	recall	NOUN
easat-9393	172	11	,	,	PUNCT
easat-9393	172	12	and	and	CCONJ
easat-9393	172	13	f1	f1	NOUN
easat-9393	172	14	-	-	PUNCT
easat-9393	172	15	scores	score	NOUN
easat-9393	172	16	across	across	ADP
easat-9393	172	17	all	all	DET
easat-9393	172	18	four	four	NUM
easat-9393	172	19	levels	level	NOUN
easat-9393	172	20	of	of	ADP
easat-9393	172	21	roast	roast	NOUN
easat-9393	172	22	,	,	PUNCT
easat-9393	172	23	with	with	ADP
easat-9393	172	24	only	only	ADV
easat-9393	172	25	3	3	NUM
easat-9393	172	26	instances	instance	NOUN
easat-9393	172	27	of	of	ADP
easat-9393	172	28	misclassification	misclassification	NOUN
easat-9393	172	29	recorded	record	VERB
easat-9393	172	30	.	.	PUNCT
easat-9393	173	1	the	the	DET
easat-9393	173	2	confusion	confusion	NOUN
easat-9393	173	3	matrix	matrix	NOUN
easat-9393	173	4	corroborated	corroborate	VERB
easat-9393	173	5	that	that	SCONJ
easat-9393	173	6	this	this	DET
easat-9393	173	7	model	model	NOUN
easat-9393	173	8	was	be	AUX
easat-9393	173	9	633	633	NUM
easat-9393	173	10	edelweiss	edelweiss	PROPN
easat-9393	173	11	applied	apply	VERB
easat-9393	173	12	science	science	NOUN
easat-9393	173	13	and	and	CCONJ
easat-9393	173	14	technology	technology	NOUN
easat-9393	173	15	issn	issn	PROPN
easat-9393	173	16	:	:	PUNCT
easat-9393	173	17	2576	2576	NUM
easat-9393	173	18	-	-	SYM
easat-9393	173	19	8484	8484	NUM
easat-9393	173	20	vol	vol	NOUN
easat-9393	173	21	.	.	PROPN
easat-9393	174	1	9	9	NUM
easat-9393	174	2	,	,	PUNCT
easat-9393	174	3	no	no	INTJ
easat-9393	174	4	.	.	NOUN
easat-9393	174	5	8	8	NUM
easat-9393	174	6	:	:	PUNCT
easat-9393	174	7	624	624	NUM
easat-9393	174	8	-	-	SYM
easat-9393	174	9	640	640	NUM
easat-9393	174	10	,	,	PUNCT
easat-9393	174	11	2025	2025	NUM
easat-9393	174	12	doi	doi	NOUN
easat-9393	174	13	:	:	PUNCT
easat-9393	174	14	10.55214/2576	10.55214/2576	NUM
easat-9393	174	15	-	-	SYM
easat-9393	174	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	174	17	©	©	PROPN
easat-9393	174	18	2025	2025	NUM
easat-9393	174	19	by	by	ADP
easat-9393	174	20	the	the	DET
easat-9393	174	21	authors	author	NOUN
easat-9393	174	22	;	;	PUNCT
easat-9393	174	23	licensee	licensee	PROPN
easat-9393	174	24	learning	learning	NOUN
easat-9393	174	25	gate	gate	VERB
easat-9393	174	26	exceptionally	exceptionally	ADV
easat-9393	174	27	adept	adept	ADJ
easat-9393	174	28	at	at	ADP
easat-9393	174	29	discerning	discern	VERB
easat-9393	174	30	the	the	DET
easat-9393	174	31	nuanced	nuanced	ADJ
easat-9393	174	32	color	color	NOUN
easat-9393	174	33	and	and	CCONJ
easat-9393	174	34	texture	texture	NOUN
easat-9393	174	35	distinctions	distinction	NOUN
easat-9393	174	36	between	between	ADP
easat-9393	174	37	green	green	ADJ
easat-9393	174	38	,	,	PUNCT
easat-9393	174	39	light	light	ADJ
easat-9393	174	40	,	,	PUNCT
easat-9393	174	41	medium	medium	ADJ
easat-9393	174	42	,	,	PUNCT
easat-9393	174	43	and	and	CCONJ
easat-9393	174	44	dark	dark	ADJ
easat-9393	174	45	roasted	roasted	ADJ
easat-9393	174	46	coffee	coffee	NOUN
easat-9393	174	47	beans	bean	NOUN
easat-9393	174	48	.	.	PUNCT
easat-9393	175	1	although	although	SCONJ
easat-9393	175	2	resnet50v2	resnet50v2	NOUN
easat-9393	175	3	fell	fall	VERB
easat-9393	175	4	slightly	slightly	ADV
easat-9393	175	5	short	short	ADJ
easat-9393	175	6	of	of	ADP
easat-9393	175	7	the	the	DET
easat-9393	175	8	impeccable	impeccable	ADJ
easat-9393	175	9	predictions	prediction	NOUN
easat-9393	175	10	demonstrated	demonstrate	VERB
easat-9393	175	11	by	by	ADP
easat-9393	175	12	xception	xception	PROPN
easat-9393	175	13	and	and	CCONJ
easat-9393	175	14	efficientnetb0	efficientnetb0	PROPN
easat-9393	175	15	,	,	PUNCT
easat-9393	175	16	the	the	DET
easat-9393	175	17	disparity	disparity	NOUN
easat-9393	175	18	observed	observe	VERB
easat-9393	175	19	was	be	AUX
easat-9393	175	20	minimal	minimal	ADJ
easat-9393	175	21	and	and	CCONJ
easat-9393	175	22	statistically	statistically	ADV
easat-9393	175	23	negligible	negligible	ADJ
easat-9393	175	24	for	for	ADP
easat-9393	175	25	practical	practical	ADJ
easat-9393	175	26	applications	application	NOUN
easat-9393	175	27	.	.	PUNCT
easat-9393	176	1	nevertheless	nevertheless	ADV
easat-9393	176	2	,	,	PUNCT
easat-9393	176	3	the	the	DET
easat-9393	176	4	marginally	marginally	ADV
easat-9393	176	5	lower	low	ADJ
easat-9393	176	6	accuracy	accuracy	NOUN
easat-9393	176	7	implies	imply	VERB
easat-9393	176	8	that	that	SCONJ
easat-9393	176	9	resnet50v2	resnet50v2	NOUN
easat-9393	176	10	may	may	AUX
easat-9393	176	11	exhibit	exhibit	VERB
easat-9393	176	12	heightened	heightened	ADJ
easat-9393	176	13	sensitivity	sensitivity	NOUN
easat-9393	176	14	to	to	PART
easat-9393	176	15	finely	finely	ADV
easat-9393	176	16	delineated	delineate	VERB
easat-9393	176	17	class	class	NOUN
easat-9393	176	18	boundaries	boundary	NOUN
easat-9393	176	19	,	,	PUNCT
easat-9393	176	20	particularly	particularly	ADV
easat-9393	176	21	in	in	ADP
easat-9393	176	22	contrast	contrast	NOUN
easat-9393	176	23	to	to	ADP
easat-9393	176	24	efficientnetb0	efficientnetb0	PROPN
easat-9393	176	25	,	,	PUNCT
easat-9393	176	26	which	which	PRON
easat-9393	176	27	incorporates	incorporate	VERB
easat-9393	176	28	compound	compound	NOUN
easat-9393	176	29	scaling	scaling	NOUN
easat-9393	176	30	to	to	PART
easat-9393	176	31	achieve	achieve	VERB
easat-9393	176	32	a	a	DET
easat-9393	176	33	harmonious	harmonious	ADJ
easat-9393	176	34	balance	balance	NOUN
easat-9393	176	35	of	of	ADP
easat-9393	176	36	depth	depth	NOUN
easat-9393	176	37	and	and	CCONJ
easat-9393	176	38	resolution	resolution	NOUN
easat-9393	176	39	,	,	PUNCT
easat-9393	176	40	or	or	CCONJ
easat-9393	176	41	xception	xception	NOUN
easat-9393	176	42	,	,	PUNCT
easat-9393	176	43	which	which	PRON
easat-9393	176	44	employs	employ	VERB
easat-9393	176	45	depthwise	depthwise	NOUN
easat-9393	176	46	separable	separable	ADJ
easat-9393	176	47	convolutions	convolution	NOUN
easat-9393	176	48	to	to	PART
easat-9393	176	49	facilitate	facilitate	VERB
easat-9393	176	50	efficient	efficient	ADJ
easat-9393	176	51	feature	feature	NOUN
easat-9393	176	52	extraction	extraction	NOUN
easat-9393	176	53	.	.	PUNCT
easat-9393	177	1	in	in	ADP
easat-9393	177	2	general	general	ADJ
easat-9393	177	3	,	,	PUNCT
easat-9393	177	4	resnet50v2	resnet50v2	NOUN
easat-9393	177	5	remains	remain	VERB
easat-9393	177	6	a	a	DET
easat-9393	177	7	robust	robust	ADJ
easat-9393	177	8	candidate	candidate	NOUN
easat-9393	177	9	for	for	ADP
easat-9393	177	10	tasks	task	NOUN
easat-9393	177	11	related	relate	VERB
easat-9393	177	12	to	to	ADP
easat-9393	177	13	roast	roast	NOUN
easat-9393	177	14	-	-	PUNCT
easat-9393	177	15	level	level	NOUN
easat-9393	177	16	classification	classification	NOUN
easat-9393	177	17	,	,	PUNCT
easat-9393	177	18	particularly	particularly	ADV
easat-9393	177	19	when	when	SCONJ
easat-9393	177	20	utilized	utilize	VERB
easat-9393	177	21	with	with	ADP
easat-9393	177	22	structured	structured	ADJ
easat-9393	177	23	datasets	dataset	NOUN
easat-9393	177	24	characterized	characterize	VERB
easat-9393	177	25	by	by	ADP
easat-9393	177	26	minimal	minimal	ADJ
easat-9393	177	27	variability	variability	NOUN
easat-9393	177	28	.	.	PUNCT
easat-9393	178	1	figure	figure	NOUN
easat-9393	178	2	10	10	NUM
easat-9393	178	3	.	.	PUNCT
easat-9393	179	1	confusion	confusion	NOUN
easat-9393	179	2	matrix	matrix	NOUN
easat-9393	179	3	for	for	ADP
easat-9393	179	4	resnet50v2	resnet50v2	PROPN
easat-9393	179	5	with	with	ADP
easat-9393	179	6	kaggle	kaggle	ADJ
easat-9393	179	7	dataset	dataset	NOUN
easat-9393	179	8	.	.	PUNCT
easat-9393	180	1	table	table	NOUN
easat-9393	180	2	6	6	NUM
easat-9393	180	3	.	.	PUNCT
easat-9393	181	1	classification	classification	NOUN
easat-9393	181	2	report	report	NOUN
easat-9393	181	3	for	for	ADP
easat-9393	181	4	resnet50v2	resnet50v2	PROPN
easat-9393	181	5	with	with	ADP
easat-9393	181	6	kaggle	kaggle	ADJ
easat-9393	181	7	dataset	dataset	NOUN
easat-9393	181	8	.	.	PUNCT
easat-9393	182	1	class	class	NOUN
easat-9393	182	2	precision	precision	NOUN
easat-9393	182	3	recall	recall	NOUN
easat-9393	182	4	f1	f1	NOUN
easat-9393	182	5	-	-	PUNCT
easat-9393	182	6	score	score	NOUN
easat-9393	182	7	support	support	NOUN
easat-9393	182	8	dark	dark	ADJ
easat-9393	182	9	1.00	1.00	NUM
easat-9393	182	10	0.98	0.98	NUM
easat-9393	182	11	0.99	0.99	NUM
easat-9393	182	12	100	100	NUM
easat-9393	182	13	green	green	ADJ
easat-9393	182	14	1.00	1.00	NUM
easat-9393	182	15	1.00	1.00	NUM
easat-9393	182	16	1.00	1.00	NUM
easat-9393	182	17	100	100	NUM
easat-9393	182	18	light	light	NOUN
easat-9393	182	19	1.00	1.00	NUM
easat-9393	182	20	0.99	0.99	NUM
easat-9393	182	21	0.99	0.99	NUM
easat-9393	182	22	100	100	NUM
easat-9393	182	23	medium	medium	NOUN
easat-9393	182	24	0.97	0.97	NUM
easat-9393	182	25	1.00	1.00	NUM
easat-9393	182	26	0.99	0.99	NUM
easat-9393	182	27	100	100	NUM
easat-9393	182	28	accuracy	accuracy	NOUN
easat-9393	182	29	0.99	0.99	NUM
easat-9393	182	30	400	400	NUM
easat-9393	182	31	macro	macro	NOUN
easat-9393	182	32	avg	avg	NOUN
easat-9393	182	33	.	.	PROPN
easat-9393	182	34	0.99	0.99	NUM
easat-9393	182	35	0.99	0.99	NUM
easat-9393	182	36	0.99	0.99	NUM
easat-9393	182	37	400	400	NUM
easat-9393	182	38	weighted	weight	VERB
easat-9393	182	39	avg	avg	PROPN
easat-9393	182	40	.	.	PROPN
easat-9393	182	41	0.99	0.99	NUM
easat-9393	182	42	0.99	0.99	NUM
easat-9393	182	43	0.99	0.99	NUM
easat-9393	182	44	400	400	NUM
easat-9393	182	45	when	when	SCONJ
easat-9393	182	46	evaluated	evaluate	VERB
easat-9393	182	47	utilizing	utilize	VERB
easat-9393	182	48	the	the	DET
easat-9393	182	49	self	self	NOUN
easat-9393	182	50	-	-	PUNCT
easat-9393	182	51	collected	collect	VERB
easat-9393	182	52	dataset	dataset	NOUN
easat-9393	182	53	,	,	PUNCT
easat-9393	182	54	the	the	DET
easat-9393	182	55	resnet50v2	resnet50v2	PROPN
easat-9393	182	56	model	model	NOUN
easat-9393	182	57	attained	attain	VERB
easat-9393	182	58	a	a	DET
easat-9393	182	59	diminished	diminished	ADJ
easat-9393	182	60	classification	classification	NOUN
easat-9393	182	61	accuracy	accuracy	NOUN
easat-9393	182	62	of	of	ADP
easat-9393	182	63	95.09	95.09	NUM
easat-9393	182	64	%	%	NOUN
easat-9393	182	65	,	,	PUNCT
easat-9393	182	66	signifying	signify	VERB
easat-9393	182	67	a	a	DET
easat-9393	182	68	substantial	substantial	ADJ
easat-9393	182	69	decrease	decrease	NOUN
easat-9393	182	70	relative	relative	ADJ
easat-9393	182	71	to	to	ADP
easat-9393	182	72	its	its	PRON
easat-9393	182	73	99.25	99.25	NUM
easat-9393	182	74	%	%	NOUN
easat-9393	182	75	accuracy	accuracy	NOUN
easat-9393	182	76	on	on	ADP
easat-9393	182	77	the	the	DET
easat-9393	182	78	kaggle	kaggle	ADJ
easat-9393	182	79	dataset	dataset	NOUN
easat-9393	182	80	.	.	PUNCT
easat-9393	183	1	table	table	NOUN
easat-9393	183	2	7	7	NUM
easat-9393	183	3	shows	show	VERB
easat-9393	183	4	the	the	DET
easat-9393	183	5	classification	classification	NOUN
easat-9393	183	6	reports	report	NOUN
easat-9393	183	7	.	.	PUNCT
easat-9393	184	1	although	although	SCONJ
easat-9393	184	2	the	the	DET
easat-9393	184	3	model	model	NOUN
easat-9393	184	4	preserved	preserve	VERB
easat-9393	184	5	a	a	DET
easat-9393	184	6	commendable	commendable	ADJ
easat-9393	184	7	overall	overall	ADJ
easat-9393	184	8	performance	performance	NOUN
easat-9393	184	9	,	,	PUNCT
easat-9393	184	10	the	the	DET
easat-9393	184	11	precision	precision	NOUN
easat-9393	184	12	,	,	PUNCT
easat-9393	184	13	recall	recall	NOUN
easat-9393	184	14	,	,	PUNCT
easat-9393	184	15	and	and	CCONJ
easat-9393	184	16	f1	f1	NOUN
easat-9393	184	17	-	-	PUNCT
easat-9393	184	18	scores	score	NOUN
easat-9393	184	19	for	for	ADP
easat-9393	184	20	specific	specific	ADJ
easat-9393	184	21	classes	class	NOUN
easat-9393	184	22	,	,	PUNCT
easat-9393	184	23	particularly	particularly	ADV
easat-9393	184	24	the	the	DET
easat-9393	184	25	medium	medium	ADJ
easat-9393	184	26	and	and	CCONJ
easat-9393	184	27	light	light	ADJ
easat-9393	184	28	roast	roast	NOUN
easat-9393	184	29	category	category	NOUN
easat-9393	184	30	,	,	PUNCT
easat-9393	184	31	experienced	experience	VERB
easat-9393	184	32	a	a	DET
easat-9393	184	33	decline	decline	NOUN
easat-9393	184	34	.	.	PUNCT
easat-9393	185	1	the	the	DET
easat-9393	185	2	confusion	confusion	NOUN
easat-9393	185	3	matrix	matrix	NOUN
easat-9393	185	4	in	in	ADP
easat-9393	185	5	figure	figure	NOUN
easat-9393	185	6	11	11	NUM
easat-9393	185	7	disclosed	disclose	VERB
easat-9393	185	8	that	that	SCONJ
easat-9393	185	9	the	the	DET
easat-9393	185	10	634	634	NUM
easat-9393	185	11	edelweiss	edelweiss	PROPN
easat-9393	185	12	applied	apply	VERB
easat-9393	185	13	science	science	NOUN
easat-9393	185	14	and	and	CCONJ
easat-9393	185	15	technology	technology	NOUN
easat-9393	185	16	issn	issn	PROPN
easat-9393	185	17	:	:	PUNCT
easat-9393	185	18	2576	2576	NUM
easat-9393	185	19	-	-	SYM
easat-9393	185	20	8484	8484	NUM
easat-9393	185	21	vol	vol	NOUN
easat-9393	185	22	.	.	PROPN
easat-9393	186	1	9	9	NUM
easat-9393	186	2	,	,	PUNCT
easat-9393	186	3	no	no	INTJ
easat-9393	186	4	.	.	NOUN
easat-9393	186	5	8	8	NUM
easat-9393	186	6	:	:	PUNCT
easat-9393	186	7	624	624	NUM
easat-9393	186	8	-	-	SYM
easat-9393	186	9	640	640	NUM
easat-9393	186	10	,	,	PUNCT
easat-9393	186	11	2025	2025	NUM
easat-9393	186	12	doi	doi	NOUN
easat-9393	186	13	:	:	PUNCT
easat-9393	186	14	10.55214/2576	10.55214/2576	NUM
easat-9393	186	15	-	-	SYM
easat-9393	186	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	186	17	©	©	PROPN
easat-9393	186	18	2025	2025	NUM
easat-9393	186	19	by	by	ADP
easat-9393	186	20	the	the	DET
easat-9393	186	21	authors	author	NOUN
easat-9393	186	22	;	;	PUNCT
easat-9393	186	23	licensee	licensee	PROPN
easat-9393	186	24	learning	learn	VERB
easat-9393	186	25	gate	gate	PROPN
easat-9393	186	26	majority	majority	NOUN
easat-9393	186	27	of	of	ADP
easat-9393	186	28	misclassifications	misclassification	NOUN
easat-9393	186	29	involved	involve	VERB
easat-9393	186	30	medium	medium	ADJ
easat-9393	186	31	roast	roast	NOUN
easat-9393	186	32	beans	bean	NOUN
easat-9393	186	33	being	be	AUX
easat-9393	186	34	erroneously	erroneously	ADV
easat-9393	186	35	categorized	categorize	VERB
easat-9393	186	36	as	as	ADP
easat-9393	186	37	either	either	CCONJ
easat-9393	186	38	light	light	NOUN
easat-9393	186	39	or	or	CCONJ
easat-9393	186	40	dark	dark	ADJ
easat-9393	186	41	roasts	roast	NOUN
easat-9393	186	42	,	,	PUNCT
easat-9393	186	43	likely	likely	ADV
easat-9393	186	44	attributable	attributable	ADJ
easat-9393	186	45	to	to	ADP
easat-9393	186	46	the	the	DET
easat-9393	186	47	visual	visual	ADJ
easat-9393	186	48	resemblances	resemblance	NOUN
easat-9393	186	49	between	between	ADP
easat-9393	186	50	neighboring	neighboring	NOUN
easat-9393	186	51	roast	roast	NOUN
easat-9393	186	52	categories	category	NOUN
easat-9393	186	53	.	.	PUNCT
easat-9393	187	1	meanwhile	meanwhile	ADV
easat-9393	187	2	,	,	PUNCT
easat-9393	187	3	a	a	DET
easat-9393	187	4	number	number	NOUN
easat-9393	187	5	of	of	ADP
easat-9393	187	6	misclassifications	misclassification	NOUN
easat-9393	187	7	also	also	ADV
easat-9393	187	8	involve	involve	VERB
easat-9393	187	9	light	light	ADJ
easat-9393	187	10	roast	roast	NOUN
easat-9393	187	11	beans	bean	NOUN
easat-9393	187	12	being	be	AUX
easat-9393	187	13	erroneously	erroneously	ADV
easat-9393	187	14	classified	classify	VERB
easat-9393	187	15	as	as	ADP
easat-9393	187	16	medium	medium	ADJ
easat-9393	187	17	and	and	CCONJ
easat-9393	187	18	green	green	ADJ
easat-9393	187	19	classes	class	NOUN
easat-9393	187	20	.	.	PUNCT
easat-9393	188	1	this	this	DET
easat-9393	188	2	reduction	reduction	NOUN
easat-9393	188	3	accentuates	accentuate	VERB
easat-9393	188	4	resnet50v2	resnet50v2	PROPN
easat-9393	188	5	’s	’s	PART
easat-9393	188	6	susceptibility	susceptibility	NOUN
easat-9393	188	7	to	to	ADP
easat-9393	188	8	data	datum	NOUN
easat-9393	188	9	variability	variability	NOUN
easat-9393	188	10	,	,	PUNCT
easat-9393	188	11	as	as	SCONJ
easat-9393	188	12	the	the	DET
easat-9393	188	13	self	self	NOUN
easat-9393	188	14	-	-	PUNCT
easat-9393	188	15	collected	collect	VERB
easat-9393	188	16	dataset	dataset	NOUN
easat-9393	188	17	encompassed	encompass	VERB
easat-9393	188	18	diverse	diverse	ADJ
easat-9393	188	19	imaging	imaging	NOUN
easat-9393	188	20	conditions	condition	NOUN
easat-9393	188	21	,	,	PUNCT
easat-9393	188	22	including	include	VERB
easat-9393	188	23	scanning	scan	VERB
easat-9393	188	24	as	as	SCONJ
easat-9393	188	25	opposed	oppose	VERB
easat-9393	188	26	to	to	ADP
easat-9393	188	27	conventional	conventional	ADJ
easat-9393	188	28	photography	photography	NOUN
easat-9393	188	29	and	and	CCONJ
easat-9393	188	30	a	a	DET
easat-9393	188	31	broader	broad	ADJ
easat-9393	188	32	range	range	NOUN
easat-9393	188	33	of	of	ADP
easat-9393	188	34	bean	bean	NOUN
easat-9393	188	35	appearances	appearance	NOUN
easat-9393	188	36	.	.	PUNCT
easat-9393	189	1	in	in	ADP
easat-9393	189	2	contrast	contrast	NOUN
easat-9393	189	3	to	to	ADP
easat-9393	189	4	its	its	PRON
easat-9393	189	5	performance	performance	NOUN
easat-9393	189	6	on	on	ADP
easat-9393	189	7	the	the	DET
easat-9393	189	8	well	well	ADV
easat-9393	189	9	-	-	PUNCT
easat-9393	189	10	structured	structure	VERB
easat-9393	189	11	and	and	CCONJ
easat-9393	189	12	uniformly	uniformly	ADV
easat-9393	189	13	illuminated	illuminated	ADJ
easat-9393	189	14	kaggle	kaggle	NOUN
easat-9393	189	15	dataset	dataset	NOUN
easat-9393	189	16	,	,	PUNCT
easat-9393	189	17	resnet50v2	resnet50v2	NOUN
easat-9393	189	18	exhibited	exhibit	VERB
easat-9393	189	19	challenges	challenge	NOUN
easat-9393	189	20	in	in	ADP
easat-9393	189	21	sustaining	sustain	VERB
easat-9393	189	22	an	an	DET
easat-9393	189	23	equivalent	equivalent	ADJ
easat-9393	189	24	level	level	NOUN
easat-9393	189	25	of	of	ADP
easat-9393	189	26	generalization	generalization	NOUN
easat-9393	189	27	with	with	ADP
easat-9393	189	28	less	less	ADJ
easat-9393	189	29	standardized	standardized	ADJ
easat-9393	189	30	inputs	input	NOUN
easat-9393	189	31	.	.	PUNCT
easat-9393	190	1	this	this	DET
easat-9393	190	2	disparity	disparity	NOUN
easat-9393	190	3	indicates	indicate	VERB
easat-9393	190	4	that	that	SCONJ
easat-9393	190	5	,	,	PUNCT
easat-9393	190	6	as	as	SCONJ
easat-9393	190	7	opposed	oppose	VERB
easat-9393	190	8	to	to	ADP
easat-9393	190	9	efficientnetb0	efficientnetb0	PROPN
easat-9393	190	10	and	and	CCONJ
easat-9393	190	11	xception	xception	PROPN
easat-9393	190	12	,	,	PUNCT
easat-9393	190	13	which	which	PRON
easat-9393	190	14	maintained	maintain	VERB
easat-9393	190	15	high	high	ADJ
easat-9393	190	16	accuracy	accuracy	NOUN
easat-9393	190	17	across	across	ADP
easat-9393	190	18	both	both	DET
easat-9393	190	19	datasets	dataset	NOUN
easat-9393	190	20	,	,	PUNCT
easat-9393	190	21	resnet50v2	resnet50v2	NOUN
easat-9393	190	22	may	may	AUX
easat-9393	190	23	necessitate	necessitate	VERB
easat-9393	190	24	supplementary	supplementary	ADJ
easat-9393	190	25	preprocessing	preprocessing	NOUN
easat-9393	190	26	or	or	CCONJ
easat-9393	190	27	fine	fine	ADV
easat-9393	190	28	-	-	PUNCT
easat-9393	190	29	tuning	tuning	NOUN
easat-9393	190	30	to	to	PART
easat-9393	190	31	adapt	adapt	VERB
easat-9393	190	32	proficiently	proficiently	ADV
easat-9393	190	33	to	to	ADP
easat-9393	190	34	realworld	realworld	PROPN
easat-9393	190	35	variations	variation	NOUN
easat-9393	190	36	in	in	ADP
easat-9393	190	37	image	image	NOUN
easat-9393	190	38	data	datum	NOUN
easat-9393	190	39	.	.	PUNCT
easat-9393	191	1	figure	figure	NOUN
easat-9393	191	2	11	11	NUM
easat-9393	191	3	.	.	PUNCT
easat-9393	192	1	confusion	confusion	NOUN
easat-9393	192	2	matrix	matrix	NOUN
easat-9393	192	3	of	of	ADP
easat-9393	192	4	resnet50v2	resnet50v2	NOUN
easat-9393	192	5	with	with	ADP
easat-9393	192	6	self	self	NOUN
easat-9393	192	7	-	-	PUNCT
easat-9393	192	8	collected	collect	VERB
easat-9393	192	9	dataset	dataset	NOUN
easat-9393	192	10	.	.	PUNCT
easat-9393	193	1	table	table	NOUN
easat-9393	193	2	7	7	NUM
easat-9393	193	3	.	.	PUNCT
easat-9393	194	1	classification	classification	NOUN
easat-9393	194	2	report	report	NOUN
easat-9393	194	3	for	for	ADP
easat-9393	194	4	resnet50v2	resnet50v2	NOUN
easat-9393	194	5	with	with	ADP
easat-9393	194	6	self	self	NOUN
easat-9393	194	7	-	-	PUNCT
easat-9393	194	8	collected	collect	VERB
easat-9393	194	9	dataset	dataset	NOUN
easat-9393	194	10	.	.	PUNCT
easat-9393	195	1	class	class	NOUN
easat-9393	195	2	precision	precision	NOUN
easat-9393	195	3	recall	recall	NOUN
easat-9393	195	4	f1	f1	NOUN
easat-9393	195	5	-	-	PUNCT
easat-9393	195	6	score	score	NOUN
easat-9393	195	7	support	support	NOUN
easat-9393	195	8	dark	dark	ADJ
easat-9393	195	9	0.99	0.99	NUM
easat-9393	195	10	0.97	0.97	NUM
easat-9393	195	11	0.98	0.98	NUM
easat-9393	195	12	107	107	NUM
easat-9393	195	13	green	green	ADJ
easat-9393	195	14	0.96	0.96	NUM
easat-9393	195	15	0.99	0.99	NUM
easat-9393	195	16	0.98	0.98	NUM
easat-9393	195	17	107	107	NUM
easat-9393	195	18	light	light	NOUN
easat-9393	195	19	0.93	0.93	NUM
easat-9393	195	20	0.91	0.91	NUM
easat-9393	195	21	0.92	0.92	NUM
easat-9393	195	22	107	107	NUM
easat-9393	195	23	medium	medium	NOUN
easat-9393	195	24	0.92	0.92	NUM
easat-9393	195	25	0.93	0.93	NUM
easat-9393	195	26	0.93	0.93	NUM
easat-9393	195	27	107	107	NUM
easat-9393	195	28	accuracy	accuracy	NOUN
easat-9393	195	29	0.95	0.95	NUM
easat-9393	195	30	428	428	NUM
easat-9393	195	31	macro	macro	NOUN
easat-9393	195	32	avg	avg	NOUN
easat-9393	195	33	0.95	0.95	NUM
easat-9393	195	34	0.95	0.95	NUM
easat-9393	195	35	0.95	0.95	NUM
easat-9393	195	36	428	428	NUM
easat-9393	195	37	weighted	weight	VERB
easat-9393	195	38	avg	avg	NOUN
easat-9393	195	39	0.95	0.95	NUM
easat-9393	195	40	0.95	0.95	NUM
easat-9393	195	41	0.95	0.95	NUM
easat-9393	195	42	428	428	NUM
easat-9393	195	43	3.4	3.4	NUM
easat-9393	195	44	.	.	PUNCT
easat-9393	195	45	visual	visual	ADJ
easat-9393	195	46	geometry	geometry	NOUN
easat-9393	195	47	group	group	NOUN
easat-9393	195	48	(	(	PUNCT
easat-9393	195	49	vgg16	vgg16	PROPN
easat-9393	195	50	)	)	PUNCT
easat-9393	195	51	the	the	DET
easat-9393	195	52	vgg16	vgg16	NOUN
easat-9393	195	53	architecture	architecture	NOUN
easat-9393	195	54	attained	attain	VERB
easat-9393	195	55	an	an	DET
easat-9393	195	56	admirable	admirable	ADJ
easat-9393	195	57	accuracy	accuracy	NOUN
easat-9393	195	58	rate	rate	NOUN
easat-9393	195	59	of	of	ADP
easat-9393	195	60	95.5	95.5	NUM
easat-9393	195	61	%	%	NOUN
easat-9393	195	62	on	on	ADP
easat-9393	195	63	the	the	DET
easat-9393	195	64	kaggle	kaggle	ADJ
easat-9393	195	65	dataset	dataset	NOUN
easat-9393	195	66	,	,	PUNCT
easat-9393	195	67	effectively	effectively	ADV
easat-9393	195	68	categorizing	categorize	VERB
easat-9393	195	69	the	the	DET
easat-9393	195	70	predominant	predominant	ADJ
easat-9393	195	71	portion	portion	NOUN
easat-9393	195	72	of	of	ADP
easat-9393	195	73	coffee	coffee	NOUN
easat-9393	195	74	bean	bean	NOUN
easat-9393	195	75	images	image	NOUN
easat-9393	195	76	across	across	ADP
easat-9393	195	77	the	the	DET
easat-9393	195	78	four	four	NUM
easat-9393	195	79	distinct	distinct	ADJ
easat-9393	195	80	roasting	roast	VERB
easat-9393	195	81	635	635	NUM
easat-9393	195	82	edelweiss	edelweiss	PROPN
easat-9393	195	83	applied	apply	VERB
easat-9393	195	84	science	science	NOUN
easat-9393	195	85	and	and	CCONJ
easat-9393	195	86	technology	technology	NOUN
easat-9393	195	87	issn	issn	PROPN
easat-9393	195	88	:	:	PUNCT
easat-9393	195	89	2576	2576	NUM
easat-9393	195	90	-	-	SYM
easat-9393	195	91	8484	8484	NUM
easat-9393	195	92	vol	vol	NOUN
easat-9393	195	93	.	.	PROPN
easat-9393	196	1	9	9	NUM
easat-9393	196	2	,	,	PUNCT
easat-9393	196	3	no	no	INTJ
easat-9393	196	4	.	.	NOUN
easat-9393	196	5	8	8	NUM
easat-9393	196	6	:	:	PUNCT
easat-9393	196	7	624	624	NUM
easat-9393	196	8	-	-	SYM
easat-9393	196	9	640	640	NUM
easat-9393	196	10	,	,	PUNCT
easat-9393	196	11	2025	2025	NUM
easat-9393	196	12	doi	doi	NOUN
easat-9393	196	13	:	:	PUNCT
easat-9393	196	14	10.55214/2576	10.55214/2576	NUM
easat-9393	196	15	-	-	SYM
easat-9393	196	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	196	17	©	©	PROPN
easat-9393	196	18	2025	2025	NUM
easat-9393	196	19	by	by	ADP
easat-9393	196	20	the	the	DET
easat-9393	196	21	authors	author	NOUN
easat-9393	196	22	;	;	PUNCT
easat-9393	196	23	licensee	licensee	PROPN
easat-9393	196	24	learning	learn	VERB
easat-9393	196	25	gate	gate	NOUN
easat-9393	196	26	levels	level	NOUN
easat-9393	196	27	.	.	PUNCT
easat-9393	197	1	the	the	DET
easat-9393	197	2	confusion	confusion	NOUN
easat-9393	197	3	matrix	matrix	NOUN
easat-9393	197	4	and	and	CCONJ
easat-9393	197	5	classification	classification	NOUN
easat-9393	197	6	report	report	NOUN
easat-9393	197	7	for	for	ADP
easat-9393	197	8	vgg16	vgg16	NOUN
easat-9393	197	9	are	be	AUX
easat-9393	197	10	shown	show	VERB
easat-9393	197	11	in	in	ADP
easat-9393	197	12	figure	figure	NOUN
easat-9393	197	13	12	12	NUM
easat-9393	197	14	and	and	CCONJ
easat-9393	197	15	table	table	NOUN
easat-9393	197	16	8	8	NUM
easat-9393	197	17	,	,	PUNCT
easat-9393	197	18	respectively	respectively	ADV
easat-9393	197	19	.	.	PUNCT
easat-9393	198	1	although	although	SCONJ
easat-9393	198	2	this	this	DET
easat-9393	198	3	level	level	NOUN
easat-9393	198	4	of	of	ADP
easat-9393	198	5	performance	performance	NOUN
easat-9393	198	6	suggests	suggest	VERB
easat-9393	198	7	that	that	SCONJ
easat-9393	198	8	vgg16	vgg16	NOUN
easat-9393	198	9	possesses	possess	VERB
easat-9393	198	10	the	the	DET
easat-9393	198	11	capability	capability	NOUN
easat-9393	198	12	to	to	PART
easat-9393	198	13	undertake	undertake	VERB
easat-9393	198	14	the	the	DET
easat-9393	198	15	classification	classification	NOUN
easat-9393	198	16	task	task	NOUN
easat-9393	198	17	,	,	PUNCT
easat-9393	198	18	it	it	PRON
easat-9393	198	19	fell	fall	VERB
easat-9393	198	20	short	short	ADJ
easat-9393	198	21	compared	compare	VERB
easat-9393	198	22	to	to	ADP
easat-9393	198	23	the	the	DET
easat-9393	198	24	other	other	ADJ
easat-9393	198	25	models	model	NOUN
easat-9393	198	26	analyzed	analyze	VERB
easat-9393	198	27	in	in	ADP
easat-9393	198	28	this	this	DET
easat-9393	198	29	research	research	NOUN
easat-9393	198	30	.	.	PUNCT
easat-9393	199	1	in	in	ADP
easat-9393	199	2	contrast	contrast	NOUN
easat-9393	199	3	,	,	PUNCT
easat-9393	199	4	both	both	DET
easat-9393	199	5	xception	xception	NOUN
easat-9393	199	6	and	and	CCONJ
easat-9393	199	7	efficientnetb0	efficientnetb0	PROPN
easat-9393	199	8	achieved	achieve	VERB
easat-9393	199	9	an	an	DET
easat-9393	199	10	impeccable	impeccable	ADJ
easat-9393	199	11	accuracy	accuracy	NOUN
easat-9393	199	12	of	of	ADP
easat-9393	199	13	100	100	NUM
easat-9393	199	14	%	%	NOUN
easat-9393	199	15	,	,	PUNCT
easat-9393	199	16	whereas	whereas	SCONJ
easat-9393	199	17	resnet50v2	resnet50v2	NOUN
easat-9393	199	18	recorded	record	VERB
easat-9393	199	19	an	an	DET
easat-9393	199	20	accuracy	accuracy	NOUN
easat-9393	199	21	of	of	ADP
easat-9393	199	22	99.25	99.25	NUM
easat-9393	199	23	%	%	NOUN
easat-9393	199	24	,	,	PUNCT
easat-9393	199	25	thereby	thereby	ADV
easat-9393	199	26	significantly	significantly	ADV
easat-9393	199	27	surpassing	surpass	VERB
easat-9393	199	28	vgg16	vgg16	NOUN
easat-9393	199	29	in	in	ADP
easat-9393	199	30	terms	term	NOUN
easat-9393	199	31	of	of	ADP
easat-9393	199	32	overall	overall	ADJ
easat-9393	199	33	metrics	metric	NOUN
easat-9393	199	34	such	such	ADJ
easat-9393	199	35	as	as	ADP
easat-9393	199	36	precision	precision	NOUN
easat-9393	199	37	,	,	PUNCT
easat-9393	199	38	recall	recall	NOUN
easat-9393	199	39	,	,	PUNCT
easat-9393	199	40	and	and	CCONJ
easat-9393	199	41	the	the	DET
easat-9393	199	42	f1	f1	NOUN
easat-9393	199	43	-	-	PUNCT
easat-9393	199	44	score	score	NOUN
easat-9393	199	45	.	.	PUNCT
easat-9393	200	1	the	the	DET
easat-9393	200	2	analysis	analysis	NOUN
easat-9393	200	3	of	of	ADP
easat-9393	200	4	the	the	DET
easat-9393	200	5	confusion	confusion	NOUN
easat-9393	200	6	matrix	matrix	NOUN
easat-9393	200	7	for	for	ADP
easat-9393	200	8	vgg16	vgg16	NOUN
easat-9393	200	9	uncovered	uncover	VERB
easat-9393	200	10	numerous	numerous	ADJ
easat-9393	200	11	misclassifications	misclassification	NOUN
easat-9393	200	12	,	,	PUNCT
easat-9393	200	13	especially	especially	ADV
easat-9393	200	14	within	within	ADP
easat-9393	200	15	the	the	DET
easat-9393	200	16	medium	medium	ADJ
easat-9393	200	17	and	and	CCONJ
easat-9393	200	18	dark	dark	ADJ
easat-9393	200	19	roast	roast	NOUN
easat-9393	200	20	categories	category	NOUN
easat-9393	200	21	,	,	PUNCT
easat-9393	200	22	where	where	SCONJ
easat-9393	200	23	the	the	DET
easat-9393	200	24	visual	visual	ADJ
easat-9393	200	25	distinctions	distinction	NOUN
easat-9393	200	26	tend	tend	VERB
easat-9393	200	27	to	to	PART
easat-9393	200	28	be	be	AUX
easat-9393	200	29	nuanced	nuanced	ADJ
easat-9393	200	30	and	and	CCONJ
easat-9393	200	31	necessitate	necessitate	ADJ
easat-9393	200	32	a	a	DET
easat-9393	200	33	more	more	ADV
easat-9393	200	34	sophisticated	sophisticated	ADJ
easat-9393	200	35	feature	feature	NOUN
easat-9393	200	36	extraction	extraction	NOUN
easat-9393	200	37	process	process	NOUN
easat-9393	200	38	.	.	PUNCT
easat-9393	201	1	this	this	DET
easat-9393	201	2	disparity	disparity	NOUN
easat-9393	201	3	in	in	ADP
easat-9393	201	4	performance	performance	NOUN
easat-9393	201	5	can	can	AUX
easat-9393	201	6	be	be	AUX
easat-9393	201	7	ascribed	ascribe	VERB
easat-9393	201	8	to	to	ADP
easat-9393	201	9	vgg16	vgg16	PROPN
easat-9393	201	10	's	's	PART
easat-9393	201	11	comparatively	comparatively	ADV
easat-9393	201	12	antiquated	antiquated	ADJ
easat-9393	201	13	architecture	architecture	NOUN
easat-9393	201	14	,	,	PUNCT
easat-9393	201	15	which	which	PRON
easat-9393	201	16	does	do	AUX
easat-9393	201	17	not	not	PART
easat-9393	201	18	incorporate	incorporate	VERB
easat-9393	201	19	the	the	DET
easat-9393	201	20	depth	depth	NOUN
easat-9393	201	21	and	and	CCONJ
easat-9393	201	22	efficiency	efficiency	NOUN
easat-9393	201	23	provided	provide	VERB
easat-9393	201	24	by	by	ADP
easat-9393	201	25	the	the	DET
easat-9393	201	26	residual	residual	ADJ
easat-9393	201	27	connections	connection	NOUN
easat-9393	201	28	found	find	VERB
easat-9393	201	29	in	in	ADP
easat-9393	201	30	resnet	resnet	NOUN
easat-9393	201	31	,	,	PUNCT
easat-9393	201	32	nor	nor	CCONJ
easat-9393	201	33	the	the	DET
easat-9393	201	34	compound	compound	NOUN
easat-9393	201	35	scaling	scaling	NOUN
easat-9393	201	36	and	and	CCONJ
easat-9393	201	37	separable	separable	ADJ
easat-9393	201	38	convolutions	convolution	NOUN
easat-9393	201	39	utilized	utilize	VERB
easat-9393	201	40	by	by	ADP
easat-9393	201	41	efficientnetb0	efficientnetb0	PROPN
easat-9393	201	42	and	and	CCONJ
easat-9393	201	43	xception	xception	NOUN
easat-9393	201	44	,	,	PUNCT
easat-9393	201	45	respectively	respectively	ADV
easat-9393	201	46	.	.	PUNCT
easat-9393	202	1	nonetheless	nonetheless	ADV
easat-9393	202	2	,	,	PUNCT
easat-9393	202	3	while	while	SCONJ
easat-9393	202	4	vgg16	vgg16	NOUN
easat-9393	202	5	has	have	AUX
easat-9393	202	6	demonstrated	demonstrate	VERB
easat-9393	202	7	itself	itself	PRON
easat-9393	202	8	to	to	PART
easat-9393	202	9	be	be	AUX
easat-9393	202	10	a	a	DET
easat-9393	202	11	dependable	dependable	ADJ
easat-9393	202	12	and	and	CCONJ
easat-9393	202	13	straightforward	straightforward	ADJ
easat-9393	202	14	model	model	NOUN
easat-9393	202	15	for	for	ADP
easat-9393	202	16	image	image	NOUN
easat-9393	202	17	classification	classification	NOUN
easat-9393	202	18	tasks	task	NOUN
easat-9393	202	19	,	,	PUNCT
easat-9393	202	20	its	its	PRON
easat-9393	202	21	shortcomings	shortcoming	NOUN
easat-9393	202	22	become	become	VERB
easat-9393	202	23	evident	evident	ADJ
easat-9393	202	24	in	in	ADP
easat-9393	202	25	nuanced	nuanced	ADJ
easat-9393	202	26	applications	application	NOUN
easat-9393	202	27	such	such	ADJ
easat-9393	202	28	as	as	ADP
easat-9393	202	29	roast	roast	NOUN
easat-9393	202	30	-	-	PUNCT
easat-9393	202	31	level	level	NOUN
easat-9393	202	32	classification	classification	NOUN
easat-9393	202	33	,	,	PUNCT
easat-9393	202	34	wherein	wherein	SCONJ
easat-9393	202	35	more	more	ADJ
easat-9393	202	36	contemporary	contemporary	ADJ
easat-9393	202	37	architectures	architecture	NOUN
easat-9393	202	38	exhibit	exhibit	VERB
easat-9393	202	39	enhanced	enhanced	ADJ
easat-9393	202	40	accuracy	accuracy	NOUN
easat-9393	202	41	and	and	CCONJ
easat-9393	202	42	generalization	generalization	NOUN
easat-9393	202	43	capabilities	capability	NOUN
easat-9393	202	44	.	.	PUNCT
easat-9393	203	1	figure	figure	NOUN
easat-9393	203	2	12	12	NUM
easat-9393	203	3	.	.	PUNCT
easat-9393	204	1	confusion	confusion	NOUN
easat-9393	204	2	matrix	matrix	NOUN
easat-9393	204	3	for	for	ADP
easat-9393	204	4	vgg16	vgg16	PROPN
easat-9393	204	5	with	with	ADP
easat-9393	204	6	kaggle	kaggle	ADJ
easat-9393	204	7	dataset	dataset	NOUN
easat-9393	204	8	.	.	PUNCT
easat-9393	205	1	table	table	NOUN
easat-9393	205	2	8	8	NUM
easat-9393	205	3	.	.	PUNCT
easat-9393	206	1	classification	classification	NOUN
easat-9393	206	2	report	report	NOUN
easat-9393	206	3	for	for	ADP
easat-9393	206	4	vgg16	vgg16	NOUN
easat-9393	206	5	with	with	ADP
easat-9393	206	6	kaggle	kaggle	ADJ
easat-9393	206	7	dataset	dataset	NOUN
easat-9393	206	8	.	.	PUNCT
easat-9393	207	1	class	class	NOUN
easat-9393	207	2	precision	precision	NOUN
easat-9393	207	3	recall	recall	NOUN
easat-9393	207	4	f1	f1	NOUN
easat-9393	207	5	-	-	PUNCT
easat-9393	207	6	score	score	NOUN
easat-9393	207	7	support	support	NOUN
easat-9393	207	8	dark	dark	ADJ
easat-9393	207	9	0.95	0.95	NUM
easat-9393	207	10	0.94	0.94	NUM
easat-9393	207	11	0.94	0.94	NUM
easat-9393	207	12	100	100	NUM
easat-9393	207	13	green	green	ADJ
easat-9393	207	14	0.98	0.98	NUM
easat-9393	207	15	1.00	1.00	NUM
easat-9393	207	16	0.99	0.99	NUM
easat-9393	207	17	100	100	NUM
easat-9393	207	18	light	light	NOUN
easat-9393	207	19	1.00	1.00	NUM
easat-9393	207	20	0.93	0.93	NUM
easat-9393	207	21	0.96	0.96	NUM
easat-9393	207	22	100	100	NUM
easat-9393	207	23	medium	medium	NOUN
easat-9393	207	24	0.90	0.90	NUM
easat-9393	207	25	0.95	0.95	NUM
easat-9393	207	26	0.92	0.92	NUM
easat-9393	207	27	100	100	NUM
easat-9393	207	28	accuracy	accuracy	NOUN
easat-9393	207	29	0.95	0.95	NUM
easat-9393	207	30	400	400	NUM
easat-9393	207	31	macro	macro	NOUN
easat-9393	207	32	avg	avg	PROPN
easat-9393	207	33	0.96	0.96	NUM
easat-9393	207	34	0.96	0.96	NUM
easat-9393	207	35	0.96	0.96	NUM
easat-9393	207	36	400	400	NUM
easat-9393	207	37	weighted	weight	VERB
easat-9393	207	38	avg	avg	PROPN
easat-9393	207	39	0.96	0.96	NUM
easat-9393	207	40	0.95	0.95	NUM
easat-9393	207	41	0.96	0.96	NUM
easat-9393	207	42	400	400	NUM
easat-9393	207	43	636	636	NUM
easat-9393	207	44	edelweiss	edelweiss	PROPN
easat-9393	207	45	applied	apply	VERB
easat-9393	207	46	science	science	NOUN
easat-9393	207	47	and	and	CCONJ
easat-9393	207	48	technology	technology	NOUN
easat-9393	207	49	issn	issn	PROPN
easat-9393	207	50	:	:	PUNCT
easat-9393	207	51	2576	2576	NUM
easat-9393	207	52	-	-	SYM
easat-9393	207	53	8484	8484	NUM
easat-9393	207	54	vol	vol	NOUN
easat-9393	207	55	.	.	PROPN
easat-9393	208	1	9	9	NUM
easat-9393	208	2	,	,	PUNCT
easat-9393	208	3	no	no	INTJ
easat-9393	208	4	.	.	NOUN
easat-9393	208	5	8	8	NUM
easat-9393	208	6	:	:	PUNCT
easat-9393	208	7	624	624	NUM
easat-9393	208	8	-	-	SYM
easat-9393	208	9	640	640	NUM
easat-9393	208	10	,	,	PUNCT
easat-9393	208	11	2025	2025	NUM
easat-9393	208	12	doi	doi	NOUN
easat-9393	208	13	:	:	PUNCT
easat-9393	208	14	10.55214/2576	10.55214/2576	NUM
easat-9393	208	15	-	-	SYM
easat-9393	208	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	208	17	©	©	PROPN
easat-9393	208	18	2025	2025	NUM
easat-9393	208	19	by	by	ADP
easat-9393	208	20	the	the	DET
easat-9393	208	21	authors	author	NOUN
easat-9393	208	22	;	;	PUNCT
easat-9393	208	23	licensee	licensee	PROPN
easat-9393	208	24	learning	learning	NOUN
easat-9393	208	25	gate	gate	NOUN
easat-9393	208	26	upon	upon	SCONJ
easat-9393	208	27	assessment	assessment	NOUN
easat-9393	208	28	utilizing	utilize	VERB
easat-9393	208	29	the	the	DET
easat-9393	208	30	self	self	NOUN
easat-9393	208	31	-	-	PUNCT
easat-9393	208	32	compiled	compile	VERB
easat-9393	208	33	dataset	dataset	NOUN
easat-9393	208	34	,	,	PUNCT
easat-9393	208	35	the	the	DET
easat-9393	208	36	vgg16	vgg16	NOUN
easat-9393	208	37	model	model	NOUN
easat-9393	208	38	attained	attain	VERB
easat-9393	208	39	a	a	DET
easat-9393	208	40	classification	classification	NOUN
easat-9393	208	41	accuracy	accuracy	NOUN
easat-9393	208	42	of	of	ADP
easat-9393	208	43	92.53	92.53	NUM
easat-9393	208	44	%	%	NOUN
easat-9393	208	45	,	,	PUNCT
easat-9393	208	46	which	which	PRON
easat-9393	208	47	is	be	AUX
easat-9393	208	48	marginally	marginally	ADV
easat-9393	208	49	inferior	inferior	ADJ
easat-9393	208	50	to	to	ADP
easat-9393	208	51	its	its	PRON
easat-9393	208	52	efficacy	efficacy	NOUN
easat-9393	208	53	on	on	ADP
easat-9393	208	54	the	the	DET
easat-9393	208	55	kaggle	kaggle	ADJ
easat-9393	208	56	dataset	dataset	NOUN
easat-9393	208	57	,	,	PUNCT
easat-9393	208	58	where	where	SCONJ
easat-9393	208	59	it	it	PRON
easat-9393	208	60	achieved	achieve	VERB
easat-9393	208	61	an	an	DET
easat-9393	208	62	accuracy	accuracy	NOUN
easat-9393	208	63	of	of	ADP
easat-9393	208	64	95.5	95.5	NUM
easat-9393	208	65	%	%	NOUN
easat-9393	208	66	.	.	PUNCT
easat-9393	209	1	this	this	DET
easat-9393	209	2	decline	decline	NOUN
easat-9393	209	3	in	in	ADP
easat-9393	209	4	accuracy	accuracy	NOUN
easat-9393	209	5	underscores	underscore	VERB
easat-9393	209	6	the	the	DET
easat-9393	209	7	model	model	NOUN
easat-9393	209	8	's	's	PART
easat-9393	209	9	constrained	constrain	VERB
easat-9393	209	10	capacity	capacity	NOUN
easat-9393	209	11	to	to	PART
easat-9393	209	12	generalize	generalize	VERB
easat-9393	209	13	across	across	ADP
easat-9393	209	14	datasets	dataset	NOUN
easat-9393	209	15	that	that	PRON
easat-9393	209	16	exhibit	exhibit	VERB
easat-9393	209	17	disparate	disparate	ADJ
easat-9393	209	18	characteristics	characteristic	NOUN
easat-9393	209	19	.	.	PUNCT
easat-9393	210	1	the	the	DET
easat-9393	210	2	self	self	NOUN
easat-9393	210	3	-	-	PUNCT
easat-9393	210	4	compiled	compile	VERB
easat-9393	210	5	dataset	dataset	NOUN
easat-9393	210	6	introduced	introduce	VERB
easat-9393	210	7	increased	increase	VERB
easat-9393	210	8	variability	variability	NOUN
easat-9393	210	9	in	in	ADP
easat-9393	210	10	the	the	DET
easat-9393	210	11	appearance	appearance	NOUN
easat-9393	210	12	of	of	ADP
easat-9393	210	13	beans	bean	NOUN
easat-9393	210	14	,	,	PUNCT
easat-9393	210	15	background	background	NOUN
easat-9393	210	16	texture	texture	NOUN
easat-9393	210	17	,	,	PUNCT
easat-9393	210	18	and	and	CCONJ
easat-9393	210	19	the	the	DET
easat-9393	210	20	method	method	NOUN
easat-9393	210	21	of	of	ADP
easat-9393	210	22	image	image	NOUN
easat-9393	210	23	acquisition	acquisition	NOUN
easat-9393	210	24	(	(	PUNCT
easat-9393	210	25	scanner	scanner	NOUN
easat-9393	210	26	-	-	PUNCT
easat-9393	210	27	based	base	VERB
easat-9393	210	28	imaging	imaging	NOUN
easat-9393	210	29	)	)	PUNCT
easat-9393	210	30	,	,	PUNCT
easat-9393	210	31	which	which	PRON
easat-9393	210	32	likely	likely	ADV
easat-9393	210	33	posed	pose	VERB
easat-9393	210	34	challenges	challenge	NOUN
easat-9393	210	35	to	to	PART
easat-9393	210	36	vgg16	vgg16	VERB
easat-9393	210	37	’s	’s	PART
easat-9393	210	38	relatively	relatively	ADV
easat-9393	210	39	shallow	shallow	ADJ
easat-9393	210	40	and	and	CCONJ
easat-9393	210	41	static	static	ADJ
easat-9393	210	42	architecture	architecture	NOUN
easat-9393	210	43	.	.	PUNCT
easat-9393	211	1	the	the	DET
easat-9393	211	2	confusion	confusion	NOUN
easat-9393	211	3	matrix	matrix	NOUN
easat-9393	211	4	in	in	ADP
easat-9393	211	5	figure	figure	NOUN
easat-9393	211	6	13	13	NUM
easat-9393	211	7	indicated	indicate	VERB
easat-9393	211	8	a	a	DET
easat-9393	211	9	heightened	heightened	ADJ
easat-9393	211	10	incidence	incidence	NOUN
easat-9393	211	11	of	of	ADP
easat-9393	211	12	misclassifications	misclassification	NOUN
easat-9393	211	13	,	,	PUNCT
easat-9393	211	14	particularly	particularly	ADV
easat-9393	211	15	among	among	ADP
easat-9393	211	16	medium	medium	ADJ
easat-9393	211	17	roast	roast	NOUN
easat-9393	211	18	beans	bean	NOUN
easat-9393	211	19	,	,	PUNCT
easat-9393	211	20	which	which	PRON
easat-9393	211	21	were	be	AUX
easat-9393	211	22	frequently	frequently	ADV
easat-9393	211	23	misidentified	misidentifie	VERB
easat-9393	211	24	as	as	ADP
easat-9393	211	25	light	light	NOUN
easat-9393	211	26	or	or	CCONJ
easat-9393	211	27	dark	dark	ADJ
easat-9393	211	28	roasts	roast	NOUN
easat-9393	211	29	due	due	ADP
easat-9393	211	30	to	to	ADP
easat-9393	211	31	their	their	PRON
easat-9393	211	32	visual	visual	ADJ
easat-9393	211	33	similarities	similarity	NOUN
easat-9393	211	34	.	.	PUNCT
easat-9393	212	1	in	in	ADP
easat-9393	212	2	comparison	comparison	NOUN
easat-9393	212	3	to	to	ADP
easat-9393	212	4	its	its	PRON
easat-9393	212	5	performance	performance	NOUN
easat-9393	212	6	on	on	ADP
easat-9393	212	7	the	the	DET
easat-9393	212	8	more	more	ADV
easat-9393	212	9	uniform	uniform	ADJ
easat-9393	212	10	kaggle	kaggle	NOUN
easat-9393	212	11	dataset	dataset	NOUN
easat-9393	212	12	,	,	PUNCT
easat-9393	212	13	vgg16	vgg16	PROPN
easat-9393	212	14	demonstrated	demonstrate	VERB
easat-9393	212	15	heightened	heightened	ADJ
easat-9393	212	16	sensitivity	sensitivity	NOUN
easat-9393	212	17	to	to	ADP
easat-9393	212	18	variations	variation	NOUN
easat-9393	212	19	in	in	ADP
easat-9393	212	20	imagery	imagery	NOUN
easat-9393	212	21	and	and	CCONJ
easat-9393	212	22	encountered	encounter	VERB
easat-9393	212	23	difficulties	difficulty	NOUN
easat-9393	212	24	in	in	ADP
easat-9393	212	25	sustaining	sustain	VERB
easat-9393	212	26	consistent	consistent	ADJ
easat-9393	212	27	precision	precision	NOUN
easat-9393	212	28	and	and	CCONJ
easat-9393	212	29	recall	recall	NOUN
easat-9393	212	30	across	across	ADP
easat-9393	212	31	all	all	DET
easat-9393	212	32	classifications	classification	NOUN
easat-9393	212	33	.	.	PUNCT
easat-9393	213	1	these	these	DET
easat-9393	213	2	results	result	NOUN
easat-9393	213	3	substantiate	substantiate	VERB
easat-9393	213	4	the	the	DET
easat-9393	213	5	premise	premise	NOUN
easat-9393	213	6	that	that	SCONJ
easat-9393	213	7	while	while	SCONJ
easat-9393	213	8	vgg16	vgg16	NOUN
easat-9393	213	9	may	may	AUX
easat-9393	213	10	exhibit	exhibit	VERB
easat-9393	213	11	commendable	commendable	ADJ
easat-9393	213	12	performance	performance	NOUN
easat-9393	213	13	under	under	ADP
easat-9393	213	14	controlled	control	VERB
easat-9393	213	15	circumstances	circumstance	NOUN
easat-9393	213	16	,	,	PUNCT
easat-9393	213	17	it	it	PRON
easat-9393	213	18	lacks	lack	VERB
easat-9393	213	19	the	the	DET
easat-9393	213	20	adaptability	adaptability	NOUN
easat-9393	213	21	and	and	CCONJ
easat-9393	213	22	resilience	resilience	NOUN
easat-9393	213	23	of	of	ADP
easat-9393	213	24	more	more	ADV
easat-9393	213	25	sophisticated	sophisticated	ADJ
easat-9393	213	26	models	model	NOUN
easat-9393	213	27	such	such	ADJ
easat-9393	213	28	as	as	ADP
easat-9393	213	29	xception	xception	NOUN
easat-9393	213	30	and	and	CCONJ
easat-9393	213	31	efficientnetb0	efficientnetb0	PROPN
easat-9393	213	32	,	,	PUNCT
easat-9393	213	33	both	both	PRON
easat-9393	213	34	of	of	ADP
easat-9393	213	35	which	which	PRON
easat-9393	213	36	have	have	AUX
easat-9393	213	37	exhibited	exhibit	VERB
easat-9393	213	38	superior	superior	ADJ
easat-9393	213	39	generalization	generalization	NOUN
easat-9393	213	40	capabilities	capability	NOUN
easat-9393	213	41	and	and	CCONJ
easat-9393	213	42	elevated	elevated	ADJ
easat-9393	213	43	accuracy	accuracy	NOUN
easat-9393	213	44	on	on	ADP
easat-9393	213	45	the	the	DET
easat-9393	213	46	self	self	NOUN
easat-9393	213	47	-	-	PUNCT
easat-9393	213	48	compiled	compile	VERB
easat-9393	213	49	dataset	dataset	NOUN
easat-9393	213	50	.	.	PUNCT
easat-9393	214	1	the	the	DET
easat-9393	214	2	classification	classification	NOUN
easat-9393	214	3	report	report	NOUN
easat-9393	214	4	in	in	ADP
easat-9393	214	5	table	table	NOUN
easat-9393	214	6	9	9	NUM
easat-9393	214	7	shows	show	VERB
easat-9393	214	8	lower	low	ADJ
easat-9393	214	9	precision	precision	NOUN
easat-9393	214	10	,	,	PUNCT
easat-9393	214	11	recall	recall	NOUN
easat-9393	214	12	,	,	PUNCT
easat-9393	214	13	and	and	CCONJ
easat-9393	214	14	f1score	f1score	NOUN
easat-9393	214	15	values	value	NOUN
easat-9393	214	16	for	for	ADP
easat-9393	214	17	vgg16	vgg16	NOUN
easat-9393	214	18	,	,	PUNCT
easat-9393	214	19	when	when	SCONJ
easat-9393	214	20	comparing	compare	VERB
easat-9393	214	21	to	to	ADP
easat-9393	214	22	the	the	DET
easat-9393	214	23	performance	performance	NOUN
easat-9393	214	24	results	result	NOUN
easat-9393	214	25	of	of	ADP
easat-9393	214	26	other	other	ADJ
easat-9393	214	27	models	model	NOUN
easat-9393	214	28	.	.	PUNCT
easat-9393	215	1	figure	figure	NOUN
easat-9393	215	2	13	13	NUM
easat-9393	215	3	.	.	PUNCT
easat-9393	216	1	confusion	confusion	NOUN
easat-9393	216	2	matrix	matrix	NOUN
easat-9393	216	3	for	for	ADP
easat-9393	216	4	vgg16	vgg16	NOUN
easat-9393	216	5	with	with	ADP
easat-9393	216	6	self	self	NOUN
easat-9393	216	7	-	-	PUNCT
easat-9393	216	8	collected	collect	VERB
easat-9393	216	9	dataset	dataset	NOUN
easat-9393	216	10	.	.	PUNCT
easat-9393	217	1	table	table	NOUN
easat-9393	217	2	9	9	NUM
easat-9393	217	3	.	.	PUNCT
easat-9393	218	1	classification	classification	NOUN
easat-9393	218	2	report	report	NOUN
easat-9393	218	3	for	for	ADP
easat-9393	218	4	vgg16	vgg16	NOUN
easat-9393	218	5	with	with	ADP
easat-9393	218	6	self	self	NOUN
easat-9393	218	7	-	-	PUNCT
easat-9393	218	8	collected	collect	VERB
easat-9393	218	9	dataset	dataset	NOUN
easat-9393	218	10	.	.	PUNCT
easat-9393	219	1	class	class	NOUN
easat-9393	219	2	precision	precision	NOUN
easat-9393	219	3	recall	recall	NOUN
easat-9393	219	4	f1	f1	NOUN
easat-9393	219	5	-	-	PUNCT
easat-9393	219	6	score	score	NOUN
easat-9393	219	7	support	support	NOUN
easat-9393	219	8	dark	dark	ADJ
easat-9393	219	9	0.99	0.99	NUM
easat-9393	219	10	0.87	0.87	NUM
easat-9393	219	11	0.93	0.93	NUM
easat-9393	219	12	107	107	NUM
easat-9393	219	13	green	green	ADJ
easat-9393	219	14	0.95	0.95	NUM
easat-9393	219	15	0.99	0.99	NUM
easat-9393	219	16	0.97	0.97	NUM
easat-9393	219	17	107	107	NUM
easat-9393	219	18	light	light	NOUN
easat-9393	219	19	0.91	0.91	NUM
easat-9393	219	20	0.94	0.94	NUM
easat-9393	219	21	0.93	0.93	NUM
easat-9393	219	22	107	107	NUM
easat-9393	219	23	medium	medium	NOUN
easat-9393	219	24	0.86	0.86	NUM
easat-9393	219	25	0.90	0.90	NUM
easat-9393	219	26	0.88	0.88	NUM
easat-9393	219	27	107	107	NUM
easat-9393	219	28	accuracy	accuracy	NOUN
easat-9393	219	29	0.93	0.93	NUM
easat-9393	219	30	428	428	NUM
easat-9393	219	31	macro	macro	NOUN
easat-9393	219	32	avg	avg	NOUN
easat-9393	219	33	0.93	0.93	NUM
easat-9393	219	34	0.93	0.93	NUM
easat-9393	219	35	0.93	0.93	NUM
easat-9393	219	36	428	428	NUM
easat-9393	219	37	weighted	weight	VERB
easat-9393	219	38	avg	avg	NOUN
easat-9393	219	39	0.93	0.93	NUM
easat-9393	219	40	0.93	0.93	NUM
easat-9393	219	41	0.93	0.93	NUM
easat-9393	219	42	428	428	NUM
easat-9393	219	43	637	637	NUM
easat-9393	219	44	edelweiss	edelweiss	PROPN
easat-9393	219	45	applied	apply	VERB
easat-9393	219	46	science	science	NOUN
easat-9393	219	47	and	and	CCONJ
easat-9393	219	48	technology	technology	NOUN
easat-9393	219	49	issn	issn	PROPN
easat-9393	219	50	:	:	PUNCT
easat-9393	219	51	2576	2576	NUM
easat-9393	219	52	-	-	SYM
easat-9393	219	53	8484	8484	NUM
easat-9393	219	54	vol	vol	NOUN
easat-9393	219	55	.	.	PROPN
easat-9393	220	1	9	9	NUM
easat-9393	220	2	,	,	PUNCT
easat-9393	220	3	no	no	INTJ
easat-9393	220	4	.	.	NOUN
easat-9393	220	5	8	8	NUM
easat-9393	220	6	:	:	PUNCT
easat-9393	220	7	624	624	NUM
easat-9393	220	8	-	-	SYM
easat-9393	220	9	640	640	NUM
easat-9393	220	10	,	,	PUNCT
easat-9393	220	11	2025	2025	NUM
easat-9393	220	12	doi	doi	NOUN
easat-9393	220	13	:	:	PUNCT
easat-9393	220	14	10.55214/2576	10.55214/2576	NUM
easat-9393	220	15	-	-	SYM
easat-9393	220	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	220	17	©	©	PROPN
easat-9393	220	18	2025	2025	NUM
easat-9393	220	19	by	by	ADP
easat-9393	220	20	the	the	DET
easat-9393	220	21	authors	author	NOUN
easat-9393	220	22	;	;	PUNCT
easat-9393	220	23	licensee	licensee	PROPN
easat-9393	220	24	learning	learning	NOUN
easat-9393	220	25	gate	gate	NOUN
easat-9393	220	26	4	4	NUM
easat-9393	220	27	.	.	PUNCT
easat-9393	220	28	comparative	comparative	ADJ
easat-9393	220	29	analysis	analysis	NOUN
easat-9393	220	30	the	the	DET
easat-9393	220	31	comparative	comparative	ADJ
easat-9393	220	32	analysis	analysis	NOUN
easat-9393	220	33	of	of	ADP
easat-9393	220	34	the	the	DET
easat-9393	220	35	performance	performance	NOUN
easat-9393	220	36	of	of	ADP
easat-9393	220	37	four	four	NUM
easat-9393	220	38	deep	deep	ADJ
easat-9393	220	39	learning	learning	NOUN
easat-9393	220	40	architectures	architecture	NOUN
easat-9393	220	41	,	,	PUNCT
easat-9393	220	42	particularly	particularly	ADV
easat-9393	220	43	xception	xception	NOUN
easat-9393	220	44	,	,	PUNCT
easat-9393	220	45	efficientnetb0	efficientnetb0	PROPN
easat-9393	220	46	,	,	PUNCT
easat-9393	220	47	resnet50v2	resnet50v2	NOUN
easat-9393	220	48	,	,	PUNCT
easat-9393	220	49	and	and	CCONJ
easat-9393	220	50	vgg16	vgg16	PROPN
easat-9393	220	51	,	,	PUNCT
easat-9393	220	52	demonstrates	demonstrate	VERB
easat-9393	220	53	significant	significant	ADJ
easat-9393	220	54	variations	variation	NOUN
easat-9393	220	55	in	in	ADP
easat-9393	220	56	their	their	PRON
easat-9393	220	57	classification	classification	NOUN
easat-9393	220	58	efficacy	efficacy	NOUN
easat-9393	220	59	when	when	SCONJ
easat-9393	220	60	assessed	assess	VERB
easat-9393	220	61	using	use	VERB
easat-9393	220	62	both	both	CCONJ
easat-9393	220	63	the	the	DET
easat-9393	220	64	kaggle	kaggle	ADJ
easat-9393	220	65	dataset	dataset	NOUN
easat-9393	220	66	and	and	CCONJ
easat-9393	220	67	the	the	DET
easat-9393	220	68	self	self	NOUN
easat-9393	220	69	-	-	PUNCT
easat-9393	220	70	acquired	acquire	VERB
easat-9393	220	71	dataset	dataset	NOUN
easat-9393	220	72	.	.	PUNCT
easat-9393	221	1	a	a	DET
easat-9393	221	2	comparative	comparative	ADJ
easat-9393	221	3	analysis	analysis	NOUN
easat-9393	221	4	of	of	ADP
easat-9393	221	5	the	the	DET
easat-9393	221	6	four	four	NUM
easat-9393	221	7	models	model	NOUN
easat-9393	221	8	is	be	AUX
easat-9393	221	9	presented	present	VERB
easat-9393	221	10	in	in	ADP
easat-9393	221	11	table	table	NOUN
easat-9393	221	12	10	10	NUM
easat-9393	221	13	,	,	PUNCT
easat-9393	221	14	summarizing	summarize	VERB
easat-9393	221	15	their	their	PRON
easat-9393	221	16	performance	performance	NOUN
easat-9393	221	17	on	on	ADP
easat-9393	221	18	both	both	DET
easat-9393	221	19	datasets	dataset	NOUN
easat-9393	221	20	.	.	PUNCT
easat-9393	222	1	table	table	NOUN
easat-9393	222	2	10	10	NUM
easat-9393	222	3	.	.	PUNCT
easat-9393	223	1	performance	performance	NOUN
easat-9393	223	2	summary	summary	NOUN
easat-9393	223	3	for	for	ADP
easat-9393	223	4	different	different	ADJ
easat-9393	223	5	models	model	NOUN
easat-9393	223	6	.	.	PUNCT
easat-9393	224	1	model	model	NOUN
easat-9393	224	2	dataset	dataset	PROPN
easat-9393	224	3	accuracy	accuracy	NOUN
easat-9393	224	4	precision	precision	NOUN
easat-9393	224	5	recall	recall	VERB
easat-9393	224	6	f1	f1	NOUN
easat-9393	224	7	-	-	PUNCT
easat-9393	224	8	score	score	NOUN
easat-9393	224	9	misclassification	misclassification	NOUN
easat-9393	224	10	xception	xception	NOUN
easat-9393	224	11	kaggle	kaggle	VERB
easat-9393	224	12	100.00	100.00	NUM
easat-9393	224	13	%	%	NOUN
easat-9393	224	14	1.00	1.00	NUM
easat-9393	224	15	1.00	1.00	NUM
easat-9393	224	16	1.00	1.00	NUM
easat-9393	224	17	0	0	NUM
easat-9393	224	18	self	self	NOUN
easat-9393	224	19	-	-	PUNCT
easat-9393	224	20	collected	collect	VERB
easat-9393	224	21	99.30	99.30	NUM
easat-9393	224	22	%	%	NOUN
easat-9393	224	23	0.99	0.99	NUM
easat-9393	224	24	0.99	0.99	NUM
easat-9393	224	25	0.99	0.99	NUM
easat-9393	224	26	3	3	NUM
easat-9393	224	27	efficientnetb0	efficientnetb0	NOUN
easat-9393	224	28	kaggle	kaggle	VERB
easat-9393	224	29	100.00	100.00	NUM
easat-9393	224	30	%	%	NOUN
easat-9393	224	31	1.00	1.00	NUM
easat-9393	224	32	1.00	1.00	NUM
easat-9393	224	33	1.00	1.00	NUM
easat-9393	224	34	0	0	NUM
easat-9393	224	35	self	self	NOUN
easat-9393	224	36	-	-	PUNCT
easat-9393	224	37	collected	collect	VERB
easat-9393	224	38	99.07	99.07	NUM
easat-9393	224	39	%	%	NOUN
easat-9393	224	40	0.99	0.99	NUM
easat-9393	224	41	0.99	0.99	NUM
easat-9393	224	42	0.99	0.99	NUM
easat-9393	224	43	4	4	NUM
easat-9393	224	44	resnet50v2	resnet50v2	NOUN
easat-9393	224	45	kaggle	kaggle	VERB
easat-9393	224	46	99.25	99.25	NUM
easat-9393	224	47	%	%	NOUN
easat-9393	224	48	0.99	0.99	NUM
easat-9393	224	49	0.99	0.99	NUM
easat-9393	224	50	0.99	0.99	NUM
easat-9393	224	51	3	3	NUM
easat-9393	224	52	self	self	NOUN
easat-9393	224	53	-	-	PUNCT
easat-9393	224	54	collected	collect	VERB
easat-9393	224	55	95.09	95.09	NUM
easat-9393	224	56	%	%	NOUN
easat-9393	224	57	0.95	0.95	NUM
easat-9393	224	58	0.95	0.95	NUM
easat-9393	224	59	0.95	0.95	NUM
easat-9393	224	60	21	21	NUM
easat-9393	224	61	vgg16	vgg16	NOUN
easat-9393	224	62	kaggle	kaggle	NOUN
easat-9393	224	63	95.50	95.50	NUM
easat-9393	224	64	%	%	NOUN
easat-9393	224	65	0.96	0.96	NUM
easat-9393	224	66	0.96	0.96	NUM
easat-9393	224	67	0.96	0.96	NUM
easat-9393	224	68	18	18	NUM
easat-9393	224	69	self	self	NOUN
easat-9393	224	70	-	-	PUNCT
easat-9393	224	71	collected	collect	VERB
easat-9393	224	72	92.53	92.53	NUM
easat-9393	224	73	%	%	NOUN
easat-9393	224	74	0.93	0.93	NUM
easat-9393	224	75	0.93	0.93	NUM
easat-9393	224	76	0.93	0.93	NUM
easat-9393	224	77	33	33	NUM
easat-9393	224	78	in	in	ADP
easat-9393	224	79	the	the	DET
easat-9393	224	80	context	context	NOUN
easat-9393	224	81	of	of	ADP
easat-9393	224	82	the	the	DET
easat-9393	224	83	kaggle	kaggle	ADJ
easat-9393	224	84	dataset	dataset	NOUN
easat-9393	224	85	,	,	PUNCT
easat-9393	224	86	characterized	characterize	VERB
easat-9393	224	87	by	by	ADP
easat-9393	224	88	high	high	ADJ
easat-9393	224	89	-	-	PUNCT
easat-9393	224	90	resolution	resolution	NOUN
easat-9393	224	91	,	,	PUNCT
easat-9393	224	92	uniformly	uniformly	ADV
easat-9393	224	93	illuminated	illuminate	VERB
easat-9393	224	94	images	image	NOUN
easat-9393	224	95	captured	capture	VERB
easat-9393	224	96	via	via	ADP
easat-9393	224	97	smartphone	smartphone	NOUN
easat-9393	224	98	under	under	ADP
easat-9393	224	99	controlled	control	VERB
easat-9393	224	100	conditions	condition	NOUN
easat-9393	224	101	,	,	PUNCT
easat-9393	224	102	both	both	CCONJ
easat-9393	224	103	xception	xception	NOUN
easat-9393	224	104	and	and	CCONJ
easat-9393	224	105	efficientnetb0	efficientnetb0	PROPN
easat-9393	224	106	attained	attain	VERB
easat-9393	224	107	a	a	DET
easat-9393	224	108	flawless	flawless	ADJ
easat-9393	224	109	accuracy	accuracy	NOUN
easat-9393	224	110	of	of	ADP
easat-9393	224	111	100	100	NUM
easat-9393	224	112	%	%	NOUN
easat-9393	224	113	,	,	PUNCT
easat-9393	224	114	exhibiting	exhibit	VERB
easat-9393	224	115	perfect	perfect	ADJ
easat-9393	224	116	precision	precision	NOUN
easat-9393	224	117	,	,	PUNCT
easat-9393	224	118	recall	recall	NOUN
easat-9393	224	119	,	,	PUNCT
easat-9393	224	120	and	and	CCONJ
easat-9393	224	121	f1	f1	NOUN
easat-9393	224	122	-	-	PUNCT
easat-9393	224	123	scores	score	NOUN
easat-9393	224	124	across	across	ADP
easat-9393	224	125	all	all	DET
easat-9393	224	126	four	four	NUM
easat-9393	224	127	roast	roast	NOUN
easat-9393	224	128	classifications	classification	NOUN
easat-9393	224	129	:	:	PUNCT
easat-9393	224	130	green	green	ADJ
easat-9393	224	131	,	,	PUNCT
easat-9393	224	132	light	light	ADJ
easat-9393	224	133	,	,	PUNCT
easat-9393	224	134	medium	medium	ADJ
easat-9393	224	135	,	,	PUNCT
easat-9393	224	136	and	and	CCONJ
easat-9393	224	137	dark	dark	ADJ
easat-9393	224	138	.	.	PUNCT
easat-9393	225	1	these	these	DET
easat-9393	225	2	findings	finding	NOUN
easat-9393	225	3	signify	signify	VERB
easat-9393	225	4	impeccable	impeccable	ADJ
easat-9393	225	5	classification	classification	NOUN
easat-9393	225	6	performance	performance	NOUN
easat-9393	225	7	,	,	PUNCT
easat-9393	225	8	with	with	ADP
easat-9393	225	9	no	no	DET
easat-9393	225	10	misclassifications	misclassification	NOUN
easat-9393	225	11	discerned	discern	VERB
easat-9393	225	12	within	within	ADP
easat-9393	225	13	the	the	DET
easat-9393	225	14	confusion	confusion	NOUN
easat-9393	225	15	matrices	matrix	NOUN
easat-9393	225	16	.	.	PUNCT
easat-9393	226	1	resnet50v2	resnet50v2	NOUN
easat-9393	226	2	demonstrated	demonstrate	VERB
easat-9393	226	3	a	a	DET
easat-9393	226	4	commendable	commendable	ADJ
easat-9393	226	5	performance	performance	NOUN
easat-9393	226	6	,	,	PUNCT
easat-9393	226	7	achieving	achieve	VERB
easat-9393	226	8	a	a	DET
easat-9393	226	9	marginally	marginally	ADV
easat-9393	226	10	lower	low	ADJ
easat-9393	226	11	accuracy	accuracy	NOUN
easat-9393	226	12	of	of	ADP
easat-9393	226	13	99.25	99.25	NUM
easat-9393	226	14	%	%	NOUN
easat-9393	226	15	.	.	PUNCT
easat-9393	227	1	the	the	DET
easat-9393	227	2	model	model	NOUN
easat-9393	227	3	misclassified	misclassifie	VERB
easat-9393	227	4	merely	merely	ADV
easat-9393	227	5	a	a	DET
easat-9393	227	6	single	single	ADJ
easat-9393	227	7	instance	instance	NOUN
easat-9393	227	8	,	,	PUNCT
easat-9393	227	9	reflecting	reflect	VERB
easat-9393	227	10	commendable	commendable	ADJ
easat-9393	227	11	,	,	PUNCT
easat-9393	227	12	albeit	albeit	SCONJ
easat-9393	227	13	not	not	PART
easat-9393	227	14	flawless	flawless	ADJ
easat-9393	227	15	,	,	PUNCT
easat-9393	227	16	performance	performance	NOUN
easat-9393	227	17	.	.	PUNCT
easat-9393	228	1	it	it	PRON
easat-9393	228	2	sustained	sustain	VERB
easat-9393	228	3	high	high	ADJ
easat-9393	228	4	precision	precision	NOUN
easat-9393	228	5	and	and	CCONJ
easat-9393	228	6	recall	recall	NOUN
easat-9393	228	7	metrics	metric	NOUN
easat-9393	228	8	across	across	ADP
easat-9393	228	9	all	all	DET
easat-9393	228	10	categories	category	NOUN
easat-9393	228	11	;	;	PUNCT
easat-9393	228	12	however	however	ADV
easat-9393	228	13	,	,	PUNCT
easat-9393	228	14	it	it	PRON
easat-9393	228	15	exhibited	exhibit	VERB
easat-9393	228	16	a	a	DET
easat-9393	228	17	slight	slight	ADJ
easat-9393	228	18	deficiency	deficiency	NOUN
easat-9393	228	19	in	in	ADP
easat-9393	228	20	capturing	capture	VERB
easat-9393	228	21	the	the	DET
easat-9393	228	22	nuanced	nuanced	ADJ
easat-9393	228	23	distinctions	distinction	NOUN
easat-9393	228	24	between	between	ADP
easat-9393	228	25	visually	visually	ADV
easat-9393	228	26	similar	similar	ADJ
easat-9393	228	27	roast	roast	NOUN
easat-9393	228	28	levels	level	NOUN
easat-9393	228	29	when	when	SCONJ
easat-9393	228	30	juxtaposed	juxtapose	VERB
easat-9393	228	31	with	with	ADP
easat-9393	228	32	xception	xception	NOUN
easat-9393	228	33	and	and	CCONJ
easat-9393	228	34	efficientnetb0	efficientnetb0	PROPN
easat-9393	228	35	.	.	PUNCT
easat-9393	229	1	this	this	DET
easat-9393	229	2	minor	minor	ADJ
easat-9393	229	3	disparity	disparity	NOUN
easat-9393	229	4	suggests	suggest	VERB
easat-9393	229	5	that	that	SCONJ
easat-9393	229	6	while	while	SCONJ
easat-9393	229	7	resnet50v2	resnet50v2	NOUN
easat-9393	229	8	is	be	AUX
easat-9393	229	9	proficient	proficient	ADJ
easat-9393	229	10	,	,	PUNCT
easat-9393	229	11	its	its	PRON
easat-9393	229	12	architectural	architectural	ADJ
easat-9393	229	13	design	design	NOUN
easat-9393	229	14	may	may	AUX
easat-9393	229	15	not	not	PART
easat-9393	229	16	be	be	AUX
easat-9393	229	17	as	as	ADV
easat-9393	229	18	finely	finely	ADV
easat-9393	229	19	tuned	tune	VERB
easat-9393	229	20	for	for	ADP
easat-9393	229	21	this	this	DET
easat-9393	229	22	specific	specific	ADJ
easat-9393	229	23	application	application	NOUN
easat-9393	229	24	as	as	ADP
easat-9393	229	25	the	the	DET
easat-9393	229	26	compound	compound	NOUN
easat-9393	229	27	scaling	scaling	NOUN
easat-9393	229	28	of	of	ADP
easat-9393	229	29	efficientnetb0	efficientnetb0	NOUN
easat-9393	229	30	or	or	CCONJ
easat-9393	229	31	the	the	DET
easat-9393	229	32	depthwise	depthwise	NOUN
easat-9393	229	33	separable	separable	NOUN
easat-9393	229	34	convolutions	convolution	NOUN
easat-9393	229	35	utilized	utilize	VERB
easat-9393	229	36	by	by	ADP
easat-9393	229	37	xception	xception	PROPN
easat-9393	229	38	.	.	PUNCT
easat-9393	230	1	conversely	conversely	ADV
easat-9393	230	2	,	,	PUNCT
easat-9393	230	3	vgg16	vgg16	PROPN
easat-9393	230	4	exhibited	exhibit	VERB
easat-9393	230	5	a	a	DET
easat-9393	230	6	markedly	markedly	ADV
easat-9393	230	7	reduced	reduce	VERB
easat-9393	230	8	accuracy	accuracy	NOUN
easat-9393	230	9	of	of	ADP
easat-9393	230	10	95.5	95.5	NUM
easat-9393	230	11	%	%	NOUN
easat-9393	230	12	.	.	PUNCT
easat-9393	231	1	a	a	DET
easat-9393	231	2	number	number	NOUN
easat-9393	231	3	of	of	ADP
easat-9393	231	4	misclassifications	misclassification	NOUN
easat-9393	231	5	were	be	AUX
easat-9393	231	6	noted	note	VERB
easat-9393	231	7	,	,	PUNCT
easat-9393	231	8	particularly	particularly	ADV
easat-9393	231	9	within	within	ADP
easat-9393	231	10	the	the	DET
easat-9393	231	11	medium	medium	ADJ
easat-9393	231	12	and	and	CCONJ
easat-9393	231	13	dark	dark	ADJ
easat-9393	231	14	roast	roast	NOUN
easat-9393	231	15	classifications	classification	NOUN
easat-9393	231	16	,	,	PUNCT
easat-9393	231	17	where	where	SCONJ
easat-9393	231	18	the	the	DET
easat-9393	231	19	differences	difference	NOUN
easat-9393	231	20	in	in	ADP
easat-9393	231	21	color	color	NOUN
easat-9393	231	22	and	and	CCONJ
easat-9393	231	23	texture	texture	NOUN
easat-9393	231	24	are	be	AUX
easat-9393	231	25	subtle	subtle	ADJ
easat-9393	231	26	.	.	PUNCT
easat-9393	232	1	this	this	DET
easat-9393	232	2	diminished	diminish	VERB
easat-9393	232	3	performance	performance	NOUN
easat-9393	232	4	underscores	underscore	VERB
easat-9393	232	5	the	the	DET
easat-9393	232	6	inherent	inherent	ADJ
easat-9393	232	7	limitations	limitation	NOUN
easat-9393	232	8	associated	associate	VERB
easat-9393	232	9	with	with	ADP
easat-9393	232	10	vgg16	vgg16	PROPN
easat-9393	232	11	’s	’s	PART
easat-9393	232	12	antiquated	antiquated	ADJ
easat-9393	232	13	architecture	architecture	NOUN
easat-9393	232	14	,	,	PUNCT
easat-9393	232	15	which	which	PRON
easat-9393	232	16	is	be	AUX
easat-9393	232	17	deficient	deficient	ADJ
easat-9393	232	18	in	in	ADP
easat-9393	232	19	depth	depth	NOUN
easat-9393	232	20	,	,	PUNCT
easat-9393	232	21	residual	residual	ADJ
easat-9393	232	22	connections	connection	NOUN
easat-9393	232	23	,	,	PUNCT
easat-9393	232	24	and	and	CCONJ
easat-9393	232	25	parameter	parameter	NOUN
easat-9393	232	26	efficiency	efficiency	NOUN
easat-9393	232	27	when	when	SCONJ
easat-9393	232	28	compared	compare	VERB
easat-9393	232	29	to	to	ADP
easat-9393	232	30	the	the	DET
easat-9393	232	31	other	other	ADJ
easat-9393	232	32	models	model	NOUN
easat-9393	232	33	.	.	PUNCT
easat-9393	233	1	although	although	SCONJ
easat-9393	233	2	still	still	ADV
easat-9393	233	3	functional	functional	ADJ
easat-9393	233	4	,	,	PUNCT
easat-9393	233	5	vgg16	vgg16	PROPN
easat-9393	233	6	did	do	AUX
easat-9393	233	7	not	not	PART
easat-9393	233	8	perform	perform	VERB
easat-9393	233	9	at	at	ADP
easat-9393	233	10	the	the	DET
easat-9393	233	11	same	same	ADJ
easat-9393	233	12	caliber	caliber	NOUN
easat-9393	233	13	as	as	ADP
easat-9393	233	14	the	the	DET
easat-9393	233	15	more	more	ADV
easat-9393	233	16	sophisticated	sophisticated	ADJ
easat-9393	233	17	networks	network	NOUN
easat-9393	233	18	on	on	ADP
easat-9393	233	19	this	this	DET
easat-9393	233	20	rigorously	rigorously	ADV
easat-9393	233	21	structured	structure	VERB
easat-9393	233	22	dataset	dataset	NOUN
easat-9393	233	23	.	.	PUNCT
easat-9393	234	1	when	when	SCONJ
easat-9393	234	2	evaluated	evaluate	VERB
easat-9393	234	3	on	on	ADP
easat-9393	234	4	the	the	DET
easat-9393	234	5	self	self	NOUN
easat-9393	234	6	-	-	PUNCT
easat-9393	234	7	collected	collect	VERB
easat-9393	234	8	dataset	dataset	NOUN
easat-9393	234	9	,	,	PUNCT
easat-9393	234	10	which	which	PRON
easat-9393	234	11	introduced	introduce	VERB
easat-9393	234	12	increased	increase	VERB
easat-9393	234	13	variability	variability	NOUN
easat-9393	234	14	regarding	regard	VERB
easat-9393	234	15	image	image	NOUN
easat-9393	234	16	acquisition	acquisition	NOUN
easat-9393	234	17	(	(	PUNCT
easat-9393	234	18	utilizing	utilize	VERB
easat-9393	234	19	a	a	DET
easat-9393	234	20	flatbed	flatbed	ADJ
easat-9393	234	21	scanner	scanner	NOUN
easat-9393	234	22	)	)	PUNCT
easat-9393	234	23	,	,	PUNCT
easat-9393	234	24	background	background	NOUN
easat-9393	234	25	uniformity	uniformity	NOUN
easat-9393	234	26	,	,	PUNCT
easat-9393	234	27	and	and	CCONJ
easat-9393	234	28	real	real	ADJ
easat-9393	234	29	-	-	PUNCT
easat-9393	234	30	world	world	NOUN
easat-9393	234	31	noise	noise	NOUN
easat-9393	234	32	,	,	PUNCT
easat-9393	234	33	the	the	DET
easat-9393	234	34	models	model	NOUN
easat-9393	234	35	exhibited	exhibit	VERB
easat-9393	234	36	significantly	significantly	ADV
easat-9393	234	37	more	more	ADV
easat-9393	234	38	marked	mark	VERB
easat-9393	234	39	discrepancies	discrepancy	NOUN
easat-9393	234	40	in	in	ADP
easat-9393	234	41	their	their	PRON
easat-9393	234	42	generalization	generalization	NOUN
easat-9393	234	43	capabilities	capability	NOUN
easat-9393	234	44	.	.	PUNCT
easat-9393	235	1	xception	xception	NOUN
easat-9393	235	2	and	and	CCONJ
easat-9393	235	3	efficientnetb0	efficientnetb0	PROPN
easat-9393	235	4	consistently	consistently	ADV
easat-9393	235	5	demonstrated	demonstrate	VERB
easat-9393	235	6	robust	robust	ADJ
easat-9393	235	7	performance	performance	NOUN
easat-9393	235	8	,	,	PUNCT
easat-9393	235	9	with	with	ADP
easat-9393	235	10	xception	xception	NOUN
easat-9393	235	11	attaining	attain	VERB
easat-9393	235	12	an	an	DET
easat-9393	235	13	accuracy	accuracy	NOUN
easat-9393	235	14	of	of	ADP
easat-9393	235	15	99.3	99.3	NUM
easat-9393	235	16	%	%	NOUN
easat-9393	235	17	and	and	CCONJ
easat-9393	235	18	efficientnetb0	efficientnetb0	NOUN
easat-9393	235	19	achieving	achieve	VERB
easat-9393	235	20	99.07	99.07	NUM
easat-9393	235	21	%	%	NOUN
easat-9393	235	22	.	.	PUNCT
easat-9393	236	1	both	both	DET
easat-9393	236	2	models	model	NOUN
easat-9393	236	3	sustained	sustain	VERB
easat-9393	236	4	elevated	elevated	ADJ
easat-9393	236	5	levels	level	NOUN
easat-9393	236	6	of	of	ADP
easat-9393	236	7	precision	precision	NOUN
easat-9393	236	8	,	,	PUNCT
easat-9393	236	9	recall	recall	NOUN
easat-9393	236	10	,	,	PUNCT
easat-9393	236	11	and	and	CCONJ
easat-9393	236	12	f1	f1	NOUN
easat-9393	236	13	-	-	PUNCT
easat-9393	236	14	scores	score	NOUN
easat-9393	236	15	across	across	ADP
easat-9393	236	16	all	all	DET
easat-9393	236	17	roast	roast	NOUN
easat-9393	236	18	classifications	classification	NOUN
easat-9393	236	19	,	,	PUNCT
easat-9393	236	20	although	although	SCONJ
easat-9393	236	21	a	a	DET
easat-9393	236	22	limited	limited	ADJ
easat-9393	236	23	number	number	NOUN
easat-9393	236	24	of	of	ADP
easat-9393	236	25	misclassifications	misclassification	NOUN
easat-9393	236	26	were	be	AUX
easat-9393	236	27	noted	note	VERB
easat-9393	236	28	,	,	PUNCT
easat-9393	236	29	predominantly	predominantly	ADV
easat-9393	236	30	within	within	ADP
easat-9393	236	31	the	the	DET
easat-9393	236	32	medium	medium	ADJ
easat-9393	236	33	roast	roast	NOUN
easat-9393	236	34	category	category	NOUN
easat-9393	236	35	,	,	PUNCT
easat-9393	236	36	which	which	PRON
easat-9393	236	37	was	be	AUX
easat-9393	236	38	occasionally	occasionally	ADV
easat-9393	236	39	misidentified	misidentifie	VERB
easat-9393	236	40	as	as	ADP
easat-9393	236	41	light	light	NOUN
easat-9393	236	42	or	or	CCONJ
easat-9393	236	43	dark	dark	ADJ
easat-9393	236	44	roasts	roast	NOUN
easat-9393	236	45	.	.	PUNCT
easat-9393	237	1	notwithstanding	notwithstanding	ADP
easat-9393	237	2	this	this	DET
easat-9393	237	3	minor	minor	ADJ
easat-9393	237	4	deterioration	deterioration	NOUN
easat-9393	237	5	from	from	ADP
easat-9393	237	6	the	the	DET
easat-9393	237	7	flawless	flawless	ADJ
easat-9393	237	8	outcomes	outcome	NOUN
easat-9393	237	9	observed	observe	VERB
easat-9393	237	10	on	on	ADP
easat-9393	237	11	the	the	DET
easat-9393	237	12	kaggle	kaggle	ADJ
easat-9393	237	13	dataset	dataset	NOUN
easat-9393	237	14	,	,	PUNCT
easat-9393	237	15	the	the	DET
easat-9393	237	16	performance	performance	NOUN
easat-9393	237	17	continued	continue	VERB
easat-9393	237	18	to	to	PART
easat-9393	237	19	be	be	AUX
easat-9393	237	20	remarkably	remarkably	ADV
easat-9393	237	21	dependable	dependable	ADJ
easat-9393	237	22	,	,	PUNCT
easat-9393	237	23	underscoring	underscore	VERB
easat-9393	237	24	the	the	DET
easat-9393	237	25	models	model	NOUN
easat-9393	237	26	'	'	PART
easat-9393	237	27	resilience	resilience	NOUN
easat-9393	237	28	to	to	ADP
easat-9393	237	29	novel	novel	ADJ
easat-9393	237	30	data	datum	NOUN
easat-9393	237	31	conditions	condition	NOUN
easat-9393	237	32	.	.	PUNCT
easat-9393	238	1	conversely	conversely	ADV
easat-9393	238	2	,	,	PUNCT
easat-9393	238	3	resnet50v2	resnet50v2	PRON
easat-9393	238	4	encountered	encounter	VERB
easat-9393	238	5	a	a	DET
easat-9393	238	6	more	more	ADV
easat-9393	238	7	substantial	substantial	ADJ
easat-9393	238	8	decline	decline	NOUN
easat-9393	238	9	in	in	ADP
easat-9393	238	10	accuracy	accuracy	NOUN
easat-9393	238	11	,	,	PUNCT
easat-9393	238	12	reducing	reduce	VERB
easat-9393	238	13	to	to	ADP
easat-9393	238	14	95.09	95.09	NUM
easat-9393	238	15	%	%	NOUN
easat-9393	238	16	.	.	PUNCT
easat-9393	239	1	while	while	SCONJ
easat-9393	239	2	it	it	PRON
easat-9393	239	3	still	still	ADV
easat-9393	239	4	demonstrated	demonstrate	VERB
easat-9393	239	5	satisfactory	satisfactory	ADJ
easat-9393	239	6	performance	performance	NOUN
easat-9393	239	7	,	,	PUNCT
easat-9393	239	8	the	the	DET
easat-9393	239	9	frequency	frequency	NOUN
easat-9393	239	10	of	of	ADP
easat-9393	239	11	misclassifications	misclassification	NOUN
easat-9393	239	12	rose	rise	VERB
easat-9393	239	13	,	,	PUNCT
easat-9393	239	14	particularly	particularly	ADV
easat-9393	239	15	within	within	ADP
easat-9393	239	16	the	the	DET
easat-9393	239	17	medium	medium	ADJ
easat-9393	239	18	roast	roast	NOUN
easat-9393	239	19	category	category	NOUN
easat-9393	239	20	.	.	PUNCT
easat-9393	240	1	this	this	DET
easat-9393	240	2	reduction	reduction	NOUN
easat-9393	240	3	indicates	indicate	VERB
easat-9393	240	4	that	that	SCONJ
easat-9393	240	5	resnet50v2	resnet50v2	NOUN
easat-9393	240	6	exhibits	exhibit	VERB
easat-9393	240	7	heightened	heighten	VERB
easat-9393	240	8	sensitivity	sensitivity	NOUN
easat-9393	240	9	to	to	ADP
easat-9393	240	10	fluctuations	fluctuation	NOUN
easat-9393	240	11	in	in	ADP
easat-9393	240	12	imaging	imaging	NOUN
easat-9393	240	13	conditions	condition	NOUN
easat-9393	240	14	and	and	CCONJ
easat-9393	240	15	may	may	AUX
easat-9393	240	16	necessitate	necessitate	VERB
easat-9393	240	17	additional	additional	ADJ
easat-9393	240	18	data	datum	NOUN
easat-9393	240	19	638	638	NUM
easat-9393	240	20	edelweiss	edelweiss	PROPN
easat-9393	240	21	applied	apply	VERB
easat-9393	240	22	science	science	NOUN
easat-9393	240	23	and	and	CCONJ
easat-9393	240	24	technology	technology	NOUN
easat-9393	240	25	issn	issn	PROPN
easat-9393	240	26	:	:	PUNCT
easat-9393	240	27	2576	2576	NUM
easat-9393	240	28	-	-	SYM
easat-9393	240	29	8484	8484	NUM
easat-9393	240	30	vol	vol	NOUN
easat-9393	240	31	.	.	PROPN
easat-9393	241	1	9	9	NUM
easat-9393	241	2	,	,	PUNCT
easat-9393	241	3	no	no	INTJ
easat-9393	241	4	.	.	NOUN
easat-9393	241	5	8	8	NUM
easat-9393	241	6	:	:	PUNCT
easat-9393	241	7	624	624	NUM
easat-9393	241	8	-	-	SYM
easat-9393	241	9	640	640	NUM
easat-9393	241	10	,	,	PUNCT
easat-9393	241	11	2025	2025	NUM
easat-9393	241	12	doi	doi	NOUN
easat-9393	241	13	:	:	PUNCT
easat-9393	241	14	10.55214/2576	10.55214/2576	NUM
easat-9393	241	15	-	-	SYM
easat-9393	241	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	241	17	©	©	PROPN
easat-9393	241	18	2025	2025	NUM
easat-9393	241	19	by	by	ADP
easat-9393	241	20	the	the	DET
easat-9393	241	21	authors	author	NOUN
easat-9393	241	22	;	;	PUNCT
easat-9393	241	23	licensee	licensee	PROPN
easat-9393	241	24	learning	learn	VERB
easat-9393	241	25	gate	gate	NOUN
easat-9393	241	26	augmentation	augmentation	NOUN
easat-9393	241	27	or	or	CCONJ
easat-9393	241	28	fine	fine	ADV
easat-9393	241	29	-	-	PUNCT
easat-9393	241	30	tuning	tuning	NOUN
easat-9393	241	31	to	to	PART
easat-9393	241	32	adapt	adapt	VERB
easat-9393	241	33	proficiently	proficiently	ADV
easat-9393	241	34	.	.	PUNCT
easat-9393	242	1	the	the	DET
easat-9393	242	2	disparity	disparity	NOUN
easat-9393	242	3	between	between	ADP
easat-9393	242	4	its	its	PRON
easat-9393	242	5	performance	performance	NOUN
easat-9393	242	6	on	on	ADP
easat-9393	242	7	the	the	DET
easat-9393	242	8	kaggle	kaggle	ADJ
easat-9393	242	9	dataset	dataset	NOUN
easat-9393	242	10	and	and	CCONJ
easat-9393	242	11	that	that	SCONJ
easat-9393	242	12	on	on	ADP
easat-9393	242	13	the	the	DET
easat-9393	242	14	self	self	NOUN
easat-9393	242	15	-	-	PUNCT
easat-9393	242	16	collected	collect	VERB
easat-9393	242	17	dataset	dataset	ADJ
easat-9393	242	18	highlights	highlight	NOUN
easat-9393	242	19	its	its	PRON
easat-9393	242	20	dependence	dependence	NOUN
easat-9393	242	21	on	on	ADP
easat-9393	242	22	consistent	consistent	ADJ
easat-9393	242	23	feature	feature	NOUN
easat-9393	242	24	representations	representation	NOUN
easat-9393	242	25	,	,	PUNCT
easat-9393	242	26	which	which	PRON
easat-9393	242	27	were	be	AUX
easat-9393	242	28	more	more	ADV
easat-9393	242	29	readily	readily	ADV
easat-9393	242	30	captured	capture	VERB
easat-9393	242	31	in	in	ADP
easat-9393	242	32	the	the	DET
easat-9393	242	33	standardized	standardized	ADJ
easat-9393	242	34	kaggle	kaggle	NOUN
easat-9393	242	35	dataset	dataset	NOUN
easat-9393	242	36	.	.	PUNCT
easat-9393	243	1	vgg16	vgg16	PROPN
easat-9393	243	2	exhibited	exhibit	VERB
easat-9393	243	3	the	the	DET
easat-9393	243	4	most	most	ADV
easat-9393	243	5	pronounced	pronounce	VERB
easat-9393	243	6	decline	decline	NOUN
easat-9393	243	7	,	,	PUNCT
easat-9393	243	8	with	with	ADP
easat-9393	243	9	its	its	PRON
easat-9393	243	10	accuracy	accuracy	NOUN
easat-9393	243	11	diminishing	diminish	VERB
easat-9393	243	12	to	to	ADP
easat-9393	243	13	92.53	92.53	NUM
easat-9393	243	14	%	%	NOUN
easat-9393	243	15	on	on	ADP
easat-9393	243	16	the	the	DET
easat-9393	243	17	selfcollected	selfcollecte	VERB
easat-9393	243	18	dataset	dataset	NOUN
easat-9393	243	19	.	.	PUNCT
easat-9393	244	1	the	the	DET
easat-9393	244	2	confusion	confusion	NOUN
easat-9393	244	3	matrix	matrix	NOUN
easat-9393	244	4	illustrated	illustrate	VERB
easat-9393	244	5	a	a	DET
easat-9393	244	6	more	more	ADV
easat-9393	244	7	extensive	extensive	ADJ
easat-9393	244	8	distribution	distribution	NOUN
easat-9393	244	9	of	of	ADP
easat-9393	244	10	errors	error	NOUN
easat-9393	244	11	,	,	PUNCT
easat-9393	244	12	with	with	ADP
easat-9393	244	13	misclassification	misclassification	NOUN
easat-9393	244	14	of	of	ADP
easat-9393	244	15	roast	roast	NOUN
easat-9393	244	16	levels	level	NOUN
easat-9393	244	17	occurring	occur	VERB
easat-9393	244	18	with	with	ADP
easat-9393	244	19	greater	great	ADJ
easat-9393	244	20	frequency	frequency	NOUN
easat-9393	244	21	than	than	SCONJ
easat-9393	244	22	observed	observe	VERB
easat-9393	244	23	in	in	ADP
easat-9393	244	24	the	the	DET
easat-9393	244	25	kaggle	kaggle	ADJ
easat-9393	244	26	evaluation	evaluation	NOUN
easat-9393	244	27	.	.	PUNCT
easat-9393	245	1	this	this	PRON
easat-9393	245	2	finding	find	VERB
easat-9393	245	3	further	further	ADJ
easat-9393	245	4	accentuates	accentuate	NOUN
easat-9393	245	5	vgg16	vgg16	PROPN
easat-9393	245	6	’s	’s	PART
easat-9393	245	7	deficiencies	deficiency	NOUN
easat-9393	245	8	in	in	ADP
easat-9393	245	9	generalization	generalization	NOUN
easat-9393	245	10	,	,	PUNCT
easat-9393	245	11	particularly	particularly	ADV
easat-9393	245	12	in	in	ADP
easat-9393	245	13	realworld	realworld	PROPN
easat-9393	245	14	contexts	contexts	PROPN
easat-9393	245	15	where	where	SCONJ
easat-9393	245	16	image	image	NOUN
easat-9393	245	17	quality	quality	NOUN
easat-9393	245	18	and	and	CCONJ
easat-9393	245	19	conditions	condition	NOUN
easat-9393	245	20	exhibit	exhibit	VERB
easat-9393	245	21	greater	great	ADJ
easat-9393	245	22	variability	variability	NOUN
easat-9393	245	23	.	.	PUNCT
easat-9393	246	1	its	its	PRON
easat-9393	246	2	comparatively	comparatively	ADV
easat-9393	246	3	shallow	shallow	ADJ
easat-9393	246	4	architecture	architecture	NOUN
easat-9393	246	5	and	and	CCONJ
easat-9393	246	6	dependence	dependence	NOUN
easat-9393	246	7	on	on	ADP
easat-9393	246	8	fixed	fix	VERB
easat-9393	246	9	convolutional	convolutional	ADJ
easat-9393	246	10	blocks	block	NOUN
easat-9393	246	11	render	render	VERB
easat-9393	246	12	it	it	PRON
easat-9393	246	13	less	less	ADV
easat-9393	246	14	adaptable	adaptable	ADJ
easat-9393	246	15	in	in	ADP
easat-9393	246	16	comparison	comparison	NOUN
easat-9393	246	17	to	to	ADP
easat-9393	246	18	other	other	ADJ
easat-9393	246	19	more	more	ADV
easat-9393	246	20	contemporary	contemporary	ADJ
easat-9393	246	21	and	and	CCONJ
easat-9393	246	22	deeper	deep	ADJ
easat-9393	246	23	neural	neural	ADJ
easat-9393	246	24	networks	network	NOUN
easat-9393	246	25	.	.	PUNCT
easat-9393	247	1	in	in	ADP
easat-9393	247	2	general	general	ADJ
easat-9393	247	3	,	,	PUNCT
easat-9393	247	4	both	both	CCONJ
easat-9393	247	5	xception	xception	NOUN
easat-9393	247	6	and	and	CCONJ
easat-9393	247	7	efficientnetb0	efficientnetb0	PROPN
easat-9393	247	8	emerged	emerge	VERB
easat-9393	247	9	as	as	ADP
easat-9393	247	10	the	the	DET
easat-9393	247	11	foremost	foremost	ADJ
easat-9393	247	12	performers	performer	NOUN
easat-9393	247	13	across	across	ADP
easat-9393	247	14	the	the	DET
easat-9393	247	15	two	two	NUM
easat-9393	247	16	datasets	dataset	NOUN
easat-9393	247	17	,	,	PUNCT
easat-9393	247	18	exhibiting	exhibit	VERB
easat-9393	247	19	not	not	PART
easat-9393	247	20	only	only	ADV
easat-9393	247	21	remarkable	remarkable	ADJ
easat-9393	247	22	accuracy	accuracy	NOUN
easat-9393	247	23	but	but	CCONJ
easat-9393	247	24	also	also	ADV
easat-9393	247	25	significant	significant	ADJ
easat-9393	247	26	generalization	generalization	NOUN
easat-9393	247	27	capabilities	capability	NOUN
easat-9393	247	28	across	across	ADP
easat-9393	247	29	varied	varied	ADJ
easat-9393	247	30	image	image	NOUN
easat-9393	247	31	sources	source	NOUN
easat-9393	247	32	.	.	PUNCT
easat-9393	248	1	resnet50v2	resnet50v2	NOUN
easat-9393	248	2	demonstrated	demonstrate	VERB
easat-9393	248	3	commendable	commendable	ADJ
easat-9393	248	4	performance	performance	NOUN
easat-9393	248	5	on	on	ADP
easat-9393	248	6	the	the	DET
easat-9393	248	7	kaggle	kaggle	ADJ
easat-9393	248	8	dataset	dataset	NOUN
easat-9393	248	9	;	;	PUNCT
easat-9393	248	10	however	however	ADV
easat-9393	248	11	,	,	PUNCT
easat-9393	248	12	it	it	PRON
easat-9393	248	13	exhibited	exhibit	VERB
easat-9393	248	14	greater	great	ADJ
easat-9393	248	15	difficulty	difficulty	NOUN
easat-9393	248	16	when	when	SCONJ
easat-9393	248	17	confronted	confront	VERB
easat-9393	248	18	with	with	ADP
easat-9393	248	19	variability	variability	NOUN
easat-9393	248	20	in	in	ADP
easat-9393	248	21	the	the	DET
easat-9393	248	22	self	self	NOUN
easat-9393	248	23	-	-	PUNCT
easat-9393	248	24	collected	collect	VERB
easat-9393	248	25	dataset	dataset	NOUN
easat-9393	248	26	,	,	PUNCT
easat-9393	248	27	thereby	thereby	ADV
easat-9393	248	28	suggesting	suggest	VERB
easat-9393	248	29	certain	certain	ADJ
easat-9393	248	30	limitations	limitation	NOUN
easat-9393	248	31	in	in	ADP
easat-9393	248	32	its	its	PRON
easat-9393	248	33	robustness	robustness	NOUN
easat-9393	248	34	.	.	PUNCT
easat-9393	249	1	vgg16	vgg16	PROPN
easat-9393	249	2	,	,	PUNCT
easat-9393	249	3	although	although	SCONJ
easat-9393	249	4	providing	provide	VERB
easat-9393	249	5	essential	essential	ADJ
easat-9393	249	6	functionality	functionality	NOUN
easat-9393	249	7	,	,	PUNCT
easat-9393	249	8	consistently	consistently	ADV
easat-9393	249	9	attained	attain	VERB
easat-9393	249	10	the	the	DET
easat-9393	249	11	lowest	low	ADJ
easat-9393	249	12	rankings	ranking	NOUN
easat-9393	249	13	in	in	ADP
easat-9393	249	14	both	both	DET
easat-9393	249	15	contexts	context	NOUN
easat-9393	249	16	,	,	PUNCT
easat-9393	249	17	thereby	thereby	ADV
easat-9393	249	18	underscoring	underscore	VERB
easat-9393	249	19	the	the	DET
easat-9393	249	20	performance	performance	NOUN
easat-9393	249	21	disparity	disparity	NOUN
easat-9393	249	22	between	between	ADP
easat-9393	249	23	traditional	traditional	ADJ
easat-9393	249	24	architectures	architecture	NOUN
easat-9393	249	25	and	and	CCONJ
easat-9393	249	26	contemporary	contemporary	ADJ
easat-9393	249	27	deep	deep	ADJ
easat-9393	249	28	learning	learning	NOUN
easat-9393	249	29	models	model	NOUN
easat-9393	249	30	.	.	PUNCT
easat-9393	250	1	these	these	DET
easat-9393	250	2	observations	observation	NOUN
easat-9393	250	3	imply	imply	VERB
easat-9393	250	4	that	that	SCONJ
easat-9393	250	5	for	for	ADP
easat-9393	250	6	practical	practical	ADJ
easat-9393	250	7	implementation	implementation	NOUN
easat-9393	250	8	in	in	ADP
easat-9393	250	9	the	the	DET
easat-9393	250	10	classification	classification	NOUN
easat-9393	250	11	of	of	ADP
easat-9393	250	12	post	post	ADJ
easat-9393	250	13	-	-	ADJ
easat-9393	250	14	roasting	roasting	ADJ
easat-9393	250	15	coffee	coffee	NOUN
easat-9393	250	16	beans	bean	NOUN
easat-9393	250	17	,	,	PUNCT
easat-9393	250	18	models	model	NOUN
easat-9393	250	19	such	such	ADJ
easat-9393	250	20	as	as	ADP
easat-9393	250	21	efficientnetb0	efficientnetb0	PROPN
easat-9393	250	22	and	and	CCONJ
easat-9393	250	23	xception	xception	NOUN
easat-9393	250	24	are	be	AUX
easat-9393	250	25	preferable	preferable	ADJ
easat-9393	250	26	due	due	ADP
easat-9393	250	27	to	to	ADP
easat-9393	250	28	their	their	PRON
easat-9393	250	29	adaptability	adaptability	NOUN
easat-9393	250	30	,	,	PUNCT
easat-9393	250	31	precision	precision	NOUN
easat-9393	250	32	,	,	PUNCT
easat-9393	250	33	and	and	CCONJ
easat-9393	250	34	efficiency	efficiency	NOUN
easat-9393	250	35	.	.	PUNCT
easat-9393	251	1	5	5	X
easat-9393	251	2	.	.	X
easat-9393	251	3	conclusion	conclusion	NOUN
easat-9393	251	4	this	this	DET
easat-9393	251	5	research	research	NOUN
easat-9393	251	6	investigated	investigate	VERB
easat-9393	251	7	the	the	DET
easat-9393	251	8	efficacy	efficacy	NOUN
easat-9393	251	9	of	of	ADP
easat-9393	251	10	four	four	NUM
easat-9393	251	11	advanced	advanced	ADJ
easat-9393	251	12	deep	deep	ADJ
easat-9393	251	13	learning	learning	NOUN
easat-9393	251	14	architectures	architecture	NOUN
easat-9393	251	15	,	,	PUNCT
easat-9393	251	16	namely	namely	ADV
easat-9393	251	17	xception	xception	NOUN
easat-9393	251	18	,	,	PUNCT
easat-9393	251	19	efficientnetb0	efficientnetb0	PROPN
easat-9393	251	20	,	,	PUNCT
easat-9393	251	21	resnet50v2	resnet50v2	NOUN
easat-9393	251	22	,	,	PUNCT
easat-9393	251	23	and	and	CCONJ
easat-9393	251	24	vgg16	vgg16	PROPN
easat-9393	251	25	,	,	PUNCT
easat-9393	251	26	in	in	ADP
easat-9393	251	27	the	the	DET
easat-9393	251	28	classification	classification	NOUN
easat-9393	251	29	of	of	ADP
easat-9393	251	30	post	post	ADJ
easat-9393	251	31	-	-	ADJ
easat-9393	251	32	roasting	roasting	ADJ
easat-9393	251	33	coffee	coffee	NOUN
easat-9393	251	34	beans	bean	NOUN
easat-9393	251	35	into	into	ADP
easat-9393	251	36	four	four	NUM
easat-9393	251	37	discrete	discrete	ADJ
easat-9393	251	38	roast	roast	NOUN
easat-9393	251	39	categories	category	NOUN
easat-9393	251	40	:	:	PUNCT
easat-9393	251	41	green	green	ADJ
easat-9393	251	42	,	,	PUNCT
easat-9393	251	43	light	light	ADJ
easat-9393	251	44	,	,	PUNCT
easat-9393	251	45	medium	medium	ADJ
easat-9393	251	46	,	,	PUNCT
easat-9393	251	47	and	and	CCONJ
easat-9393	251	48	dark	dark	ADJ
easat-9393	251	49	.	.	PUNCT
easat-9393	252	1	the	the	DET
easat-9393	252	2	evaluation	evaluation	NOUN
easat-9393	252	3	of	of	ADP
easat-9393	252	4	the	the	DET
easat-9393	252	5	models	model	NOUN
easat-9393	252	6	was	be	AUX
easat-9393	252	7	conducted	conduct	VERB
easat-9393	252	8	using	use	VERB
easat-9393	252	9	two	two	NUM
easat-9393	252	10	datasets	dataset	NOUN
easat-9393	252	11	:	:	PUNCT
easat-9393	252	12	a	a	DET
easat-9393	252	13	publicly	publicly	ADV
easat-9393	252	14	accessible	accessible	ADJ
easat-9393	252	15	kaggle	kaggle	NOUN
easat-9393	252	16	dataset	dataset	NOUN
easat-9393	252	17	and	and	CCONJ
easat-9393	252	18	a	a	DET
easat-9393	252	19	self	self	NOUN
easat-9393	252	20	-	-	PUNCT
easat-9393	252	21	collected	collect	VERB
easat-9393	252	22	dataset	dataset	NOUN
easat-9393	252	23	reflecting	reflect	VERB
easat-9393	252	24	real	real	ADJ
easat-9393	252	25	-	-	PUNCT
easat-9393	252	26	world	world	NOUN
easat-9393	252	27	variabilities	variability	NOUN
easat-9393	252	28	.	.	PUNCT
easat-9393	253	1	the	the	DET
easat-9393	253	2	findings	finding	NOUN
easat-9393	253	3	revealed	reveal	VERB
easat-9393	253	4	that	that	SCONJ
easat-9393	253	5	both	both	DET
easat-9393	253	6	xception	xception	NOUN
easat-9393	253	7	and	and	CCONJ
easat-9393	253	8	efficientnetb0	efficientnetb0	PROPN
easat-9393	253	9	attained	attain	VERB
easat-9393	253	10	superior	superior	ADJ
easat-9393	253	11	performance	performance	NOUN
easat-9393	253	12	across	across	ADP
easat-9393	253	13	both	both	DET
easat-9393	253	14	datasets	dataset	NOUN
easat-9393	253	15	,	,	PUNCT
easat-9393	253	16	achieving	achieve	VERB
easat-9393	253	17	perfect	perfect	ADJ
easat-9393	253	18	accuracy	accuracy	NOUN
easat-9393	253	19	on	on	ADP
easat-9393	253	20	the	the	DET
easat-9393	253	21	kaggle	kaggle	ADJ
easat-9393	253	22	dataset	dataset	NOUN
easat-9393	253	23	and	and	CCONJ
easat-9393	253	24	exceeding	exceed	VERB
easat-9393	253	25	99	99	NUM
easat-9393	253	26	percent	percent	NOUN
easat-9393	253	27	accuracy	accuracy	NOUN
easat-9393	253	28	on	on	ADP
easat-9393	253	29	the	the	DET
easat-9393	253	30	self	self	NOUN
easat-9393	253	31	-	-	PUNCT
easat-9393	253	32	compiled	compile	VERB
easat-9393	253	33	dataset	dataset	NOUN
easat-9393	253	34	.	.	PUNCT
easat-9393	254	1	furthermore	furthermore	ADV
easat-9393	254	2	,	,	PUNCT
easat-9393	254	3	these	these	DET
easat-9393	254	4	models	model	NOUN
easat-9393	254	5	exhibited	exhibit	VERB
easat-9393	254	6	robust	robust	ADJ
easat-9393	254	7	generalization	generalization	NOUN
easat-9393	254	8	capabilities	capability	NOUN
easat-9393	254	9	,	,	PUNCT
easat-9393	254	10	rendering	render	VERB
easat-9393	254	11	them	they	PRON
easat-9393	254	12	exceptionally	exceptionally	ADV
easat-9393	254	13	suitable	suitable	ADJ
easat-9393	254	14	for	for	ADP
easat-9393	254	15	practical	practical	ADJ
easat-9393	254	16	implementation	implementation	NOUN
easat-9393	254	17	in	in	ADP
easat-9393	254	18	automated	automate	VERB
easat-9393	254	19	systems	system	NOUN
easat-9393	254	20	for	for	ADP
easat-9393	254	21	coffee	coffee	NOUN
easat-9393	254	22	quality	quality	NOUN
easat-9393	254	23	assessment	assessment	NOUN
easat-9393	254	24	.	.	PUNCT
easat-9393	255	1	resnet50v2	resnet50v2	NOUN
easat-9393	255	2	also	also	ADV
easat-9393	255	3	demonstrated	demonstrate	VERB
easat-9393	255	4	commendable	commendable	ADJ
easat-9393	255	5	performance	performance	NOUN
easat-9393	255	6	,	,	PUNCT
easat-9393	255	7	particularly	particularly	ADV
easat-9393	255	8	on	on	ADP
easat-9393	255	9	the	the	DET
easat-9393	255	10	kaggle	kaggle	ADJ
easat-9393	255	11	dataset	dataset	NOUN
easat-9393	255	12	;	;	PUNCT
easat-9393	255	13	however	however	ADV
easat-9393	255	14	,	,	PUNCT
easat-9393	255	15	it	it	PRON
easat-9393	255	16	displayed	display	VERB
easat-9393	255	17	a	a	DET
easat-9393	255	18	more	more	ADV
easat-9393	255	19	pronounced	pronounced	ADJ
easat-9393	255	20	decline	decline	NOUN
easat-9393	255	21	in	in	ADP
easat-9393	255	22	accuracy	accuracy	NOUN
easat-9393	255	23	when	when	SCONJ
easat-9393	255	24	assessed	assess	VERB
easat-9393	255	25	on	on	ADP
easat-9393	255	26	the	the	DET
easat-9393	255	27	self	self	NOUN
easat-9393	255	28	-	-	PUNCT
easat-9393	255	29	collected	collect	VERB
easat-9393	255	30	dataset	dataset	NOUN
easat-9393	255	31	,	,	PUNCT
easat-9393	255	32	thereby	thereby	ADV
easat-9393	255	33	indicating	indicate	VERB
easat-9393	255	34	a	a	DET
easat-9393	255	35	necessity	necessity	NOUN
easat-9393	255	36	for	for	ADP
easat-9393	255	37	enhanced	enhanced	ADJ
easat-9393	255	38	optimization	optimization	NOUN
easat-9393	255	39	in	in	ADP
easat-9393	255	40	variable	variable	ADJ
easat-9393	255	41	environments	environment	NOUN
easat-9393	255	42	.	.	PUNCT
easat-9393	256	1	vgg16	vgg16	NOUN
easat-9393	256	2	,	,	PUNCT
easat-9393	256	3	although	although	SCONJ
easat-9393	256	4	operationally	operationally	ADV
easat-9393	256	5	adequate	adequate	ADJ
easat-9393	256	6	under	under	ADP
easat-9393	256	7	controlled	control	VERB
easat-9393	256	8	settings	setting	NOUN
easat-9393	256	9	,	,	PUNCT
easat-9393	256	10	consistently	consistently	ADV
easat-9393	256	11	yielded	yield	VERB
easat-9393	256	12	lower	low	ADJ
easat-9393	256	13	accuracy	accuracy	NOUN
easat-9393	256	14	and	and	CCONJ
easat-9393	256	15	reflected	reflect	VERB
easat-9393	256	16	limited	limited	ADJ
easat-9393	256	17	robustness	robustness	NOUN
easat-9393	256	18	,	,	PUNCT
easat-9393	256	19	thereby	thereby	ADV
easat-9393	256	20	underscoring	underscore	VERB
easat-9393	256	21	the	the	DET
easat-9393	256	22	architectural	architectural	ADJ
easat-9393	256	23	constraints	constraint	NOUN
easat-9393	256	24	of	of	ADP
easat-9393	256	25	older	old	ADJ
easat-9393	256	26	convolutional	convolutional	ADJ
easat-9393	256	27	networks	network	NOUN
easat-9393	256	28	in	in	ADP
easat-9393	256	29	fine	fine	ADV
easat-9393	256	30	-	-	PUNCT
easat-9393	256	31	grained	grain	VERB
easat-9393	256	32	classification	classification	NOUN
easat-9393	256	33	endeavors	endeavor	NOUN
easat-9393	256	34	.	.	PUNCT
easat-9393	257	1	in	in	ADP
easat-9393	257	2	summary	summary	NOUN
easat-9393	257	3	,	,	PUNCT
easat-9393	257	4	this	this	DET
easat-9393	257	5	research	research	NOUN
easat-9393	257	6	substantiates	substantiate	VERB
easat-9393	257	7	that	that	SCONJ
easat-9393	257	8	contemporary	contemporary	ADJ
easat-9393	257	9	deep	deep	ADJ
easat-9393	257	10	learning	learning	NOUN
easat-9393	257	11	architectures	architecture	NOUN
easat-9393	257	12	,	,	PUNCT
easat-9393	257	13	particularly	particularly	ADV
easat-9393	257	14	xception	xception	NOUN
easat-9393	257	15	and	and	CCONJ
easat-9393	257	16	efficientnetb0	efficientnetb0	PROPN
easat-9393	257	17	,	,	PUNCT
easat-9393	257	18	possess	possess	VERB
easat-9393	257	19	the	the	DET
easat-9393	257	20	potential	potential	NOUN
easat-9393	257	21	to	to	PART
easat-9393	257	22	significantly	significantly	ADV
easat-9393	257	23	augment	augment	VERB
easat-9393	257	24	both	both	DET
easat-9393	257	25	the	the	DET
easat-9393	257	26	accuracy	accuracy	NOUN
easat-9393	257	27	and	and	CCONJ
easat-9393	257	28	efficiency	efficiency	NOUN
easat-9393	257	29	of	of	ADP
easat-9393	257	30	coffee	coffee	NOUN
easat-9393	257	31	bean	bean	NOUN
easat-9393	257	32	roast	roast	NOUN
easat-9393	257	33	-	-	PUNCT
easat-9393	257	34	level	level	NOUN
easat-9393	257	35	classification	classification	NOUN
easat-9393	257	36	.	.	PUNCT
easat-9393	258	1	their	their	PRON
easat-9393	258	2	application	application	NOUN
easat-9393	258	3	could	could	AUX
easat-9393	258	4	diminish	diminish	VERB
easat-9393	258	5	dependence	dependence	NOUN
easat-9393	258	6	on	on	ADP
easat-9393	258	7	manual	manual	ADJ
easat-9393	258	8	inspection	inspection	NOUN
easat-9393	258	9	,	,	PUNCT
easat-9393	258	10	enhance	enhance	VERB
easat-9393	258	11	quality	quality	NOUN
easat-9393	258	12	control	control	NOUN
easat-9393	258	13	methodologies	methodology	NOUN
easat-9393	258	14	,	,	PUNCT
easat-9393	258	15	and	and	CCONJ
easat-9393	258	16	foster	foster	VERB
easat-9393	258	17	greater	great	ADJ
easat-9393	258	18	consistency	consistency	NOUN
easat-9393	258	19	in	in	ADP
easat-9393	258	20	coffee	coffee	NOUN
easat-9393	258	21	production	production	NOUN
easat-9393	258	22	.	.	PUNCT
easat-9393	259	1	future	future	ADJ
easat-9393	259	2	research	research	NOUN
easat-9393	259	3	may	may	AUX
easat-9393	259	4	entail	entail	VERB
easat-9393	259	5	the	the	DET
easat-9393	259	6	expansion	expansion	NOUN
easat-9393	259	7	of	of	ADP
easat-9393	259	8	the	the	DET
easat-9393	259	9	dataset	dataset	NOUN
easat-9393	259	10	,	,	PUNCT
easat-9393	259	11	the	the	DET
easat-9393	259	12	inclusion	inclusion	NOUN
easat-9393	259	13	of	of	ADP
easat-9393	259	14	supplementary	supplementary	ADJ
easat-9393	259	15	roast	roast	NOUN
easat-9393	259	16	attributes	attribute	NOUN
easat-9393	259	17	such	such	ADJ
easat-9393	259	18	as	as	ADP
easat-9393	259	19	texture	texture	NOUN
easat-9393	259	20	and	and	CCONJ
easat-9393	259	21	surface	surface	NOUN
easat-9393	259	22	imperfections	imperfection	NOUN
easat-9393	259	23	,	,	PUNCT
easat-9393	259	24	and	and	CCONJ
easat-9393	259	25	the	the	DET
easat-9393	259	26	deployment	deployment	NOUN
easat-9393	259	27	of	of	ADP
easat-9393	259	28	these	these	DET
easat-9393	259	29	models	model	NOUN
easat-9393	259	30	within	within	ADP
easat-9393	259	31	real	real	ADJ
easat-9393	259	32	-	-	PUNCT
easat-9393	259	33	time	time	NOUN
easat-9393	259	34	quality	quality	NOUN
easat-9393	259	35	monitoring	monitoring	NOUN
easat-9393	259	36	frameworks	framework	NOUN
easat-9393	259	37	.	.	PUNCT
easat-9393	260	1	transparency	transparency	NOUN
easat-9393	260	2	:	:	PUNCT
easat-9393	260	3	the	the	DET
easat-9393	260	4	authors	author	NOUN
easat-9393	260	5	confirm	confirm	VERB
easat-9393	260	6	that	that	SCONJ
easat-9393	260	7	the	the	DET
easat-9393	260	8	manuscript	manuscript	NOUN
easat-9393	260	9	is	be	AUX
easat-9393	260	10	an	an	DET
easat-9393	260	11	honest	honest	ADJ
easat-9393	260	12	,	,	PUNCT
easat-9393	260	13	accurate	accurate	ADJ
easat-9393	260	14	,	,	PUNCT
easat-9393	260	15	and	and	CCONJ
easat-9393	260	16	transparent	transparent	ADJ
easat-9393	260	17	account	account	NOUN
easat-9393	260	18	of	of	ADP
easat-9393	260	19	the	the	DET
easat-9393	260	20	study	study	NOUN
easat-9393	260	21	;	;	PUNCT
easat-9393	260	22	that	that	SCONJ
easat-9393	260	23	no	no	DET
easat-9393	260	24	vital	vital	ADJ
easat-9393	260	25	features	feature	NOUN
easat-9393	260	26	of	of	ADP
easat-9393	260	27	the	the	DET
easat-9393	260	28	study	study	NOUN
easat-9393	260	29	have	have	AUX
easat-9393	260	30	been	be	AUX
easat-9393	260	31	omitted	omit	VERB
easat-9393	260	32	;	;	PUNCT
easat-9393	260	33	and	and	CCONJ
easat-9393	260	34	that	that	SCONJ
easat-9393	260	35	any	any	DET
easat-9393	260	36	discrepancies	discrepancy	NOUN
easat-9393	260	37	from	from	ADP
easat-9393	260	38	the	the	DET
easat-9393	260	39	study	study	NOUN
easat-9393	260	40	as	as	SCONJ
easat-9393	260	41	planned	plan	VERB
easat-9393	260	42	have	have	AUX
easat-9393	260	43	been	be	AUX
easat-9393	260	44	explained	explain	VERB
easat-9393	260	45	.	.	PUNCT
easat-9393	261	1	this	this	DET
easat-9393	261	2	study	study	NOUN
easat-9393	261	3	followed	follow	VERB
easat-9393	261	4	all	all	DET
easat-9393	261	5	ethical	ethical	ADJ
easat-9393	261	6	practices	practice	NOUN
easat-9393	261	7	during	during	ADP
easat-9393	261	8	writing	writing	NOUN
easat-9393	261	9	.	.	PUNCT
easat-9393	262	1	639	639	NUM
easat-9393	262	2	edelweiss	edelweiss	PROPN
easat-9393	262	3	applied	apply	VERB
easat-9393	262	4	science	science	NOUN
easat-9393	262	5	and	and	CCONJ
easat-9393	262	6	technology	technology	NOUN
easat-9393	262	7	issn	issn	PROPN
easat-9393	262	8	:	:	PUNCT
easat-9393	262	9	2576	2576	NUM
easat-9393	262	10	-	-	SYM
easat-9393	262	11	8484	8484	NUM
easat-9393	262	12	vol	vol	NOUN
easat-9393	262	13	.	.	PROPN
easat-9393	263	1	9	9	NUM
easat-9393	263	2	,	,	PUNCT
easat-9393	263	3	no	no	INTJ
easat-9393	263	4	.	.	NOUN
easat-9393	263	5	8	8	NUM
easat-9393	263	6	:	:	PUNCT
easat-9393	263	7	624	624	NUM
easat-9393	263	8	-	-	SYM
easat-9393	263	9	640	640	NUM
easat-9393	263	10	,	,	PUNCT
easat-9393	263	11	2025	2025	NUM
easat-9393	263	12	doi	doi	NOUN
easat-9393	263	13	:	:	PUNCT
easat-9393	263	14	10.55214/2576	10.55214/2576	NUM
easat-9393	263	15	-	-	SYM
easat-9393	263	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	263	17	©	©	PROPN
easat-9393	263	18	2025	2025	NUM
easat-9393	263	19	by	by	ADP
easat-9393	263	20	the	the	DET
easat-9393	263	21	authors	author	NOUN
easat-9393	263	22	;	;	PUNCT
easat-9393	263	23	licensee	licensee	PROPN
easat-9393	263	24	learning	learn	VERB
easat-9393	263	25	gate	gate	PROPN
easat-9393	263	26	acknowledgment	acknowledgment	NOUN
easat-9393	263	27	:	:	PUNCT
easat-9393	263	28	the	the	DET
easat-9393	263	29	researchers	researcher	NOUN
easat-9393	263	30	at	at	ADP
easat-9393	263	31	multimedia	multimedia	PROPN
easat-9393	263	32	university	university	PROPN
easat-9393	263	33	(	(	PUNCT
easat-9393	263	34	mmu	mmu	PROPN
easat-9393	263	35	)	)	PUNCT
easat-9393	263	36	would	would	AUX
easat-9393	263	37	like	like	VERB
easat-9393	263	38	to	to	PART
easat-9393	263	39	express	express	VERB
easat-9393	263	40	their	their	PRON
easat-9393	263	41	deepest	deep	ADJ
easat-9393	263	42	gratitude	gratitude	NOUN
easat-9393	263	43	for	for	ADP
easat-9393	263	44	the	the	DET
easat-9393	263	45	invaluable	invaluable	ADJ
easat-9393	263	46	support	support	NOUN
easat-9393	263	47	provided	provide	VERB
easat-9393	263	48	through	through	ADP
easat-9393	263	49	the	the	DET
easat-9393	263	50	matching	matching	NOUN
easat-9393	263	51	grant	grant	NOUN
easat-9393	263	52	collaboration	collaboration	NOUN
easat-9393	263	53	between	between	ADP
easat-9393	263	54	mmu	mmu	PROPN
easat-9393	263	55	and	and	CCONJ
easat-9393	263	56	naresuan	naresuan	PROPN
easat-9393	263	57	university	university	PROPN
easat-9393	263	58	(	(	PUNCT
easat-9393	263	59	nu	nu	PROPN
easat-9393	263	60	)	)	PUNCT
easat-9393	263	61	.	.	PUNCT
easat-9393	264	1	this	this	DET
easat-9393	264	2	generous	generous	ADJ
easat-9393	264	3	initiative	initiative	NOUN
easat-9393	264	4	has	have	AUX
easat-9393	264	5	played	play	VERB
easat-9393	264	6	a	a	DET
easat-9393	264	7	crucial	crucial	ADJ
easat-9393	264	8	role	role	NOUN
easat-9393	264	9	in	in	ADP
easat-9393	264	10	facilitating	facilitate	VERB
easat-9393	264	11	the	the	DET
easat-9393	264	12	research	research	NOUN
easat-9393	264	13	and	and	CCONJ
easat-9393	264	14	development	development	NOUN
easat-9393	264	15	efforts	effort	NOUN
easat-9393	264	16	that	that	PRON
easat-9393	264	17	have	have	AUX
easat-9393	264	18	led	lead	VERB
easat-9393	264	19	to	to	ADP
easat-9393	264	20	the	the	DET
easat-9393	264	21	successful	successful	ADJ
easat-9393	264	22	completion	completion	NOUN
easat-9393	264	23	of	of	ADP
easat-9393	264	24	this	this	DET
easat-9393	264	25	publication	publication	NOUN
easat-9393	264	26	.	.	PUNCT
easat-9393	265	1	copyright	copyright	NOUN
easat-9393	265	2	:	:	PUNCT
easat-9393	265	3	©	©	PROPN
easat-9393	265	4	2025	2025	NUM
easat-9393	265	5	by	by	ADP
easat-9393	265	6	the	the	DET
easat-9393	265	7	authors	author	NOUN
easat-9393	265	8	.	.	PUNCT
easat-9393	266	1	this	this	DET
easat-9393	266	2	open	open	ADJ
easat-9393	266	3	-	-	PUNCT
easat-9393	266	4	access	access	NOUN
easat-9393	266	5	article	article	NOUN
easat-9393	266	6	is	be	AUX
easat-9393	266	7	distributed	distribute	VERB
easat-9393	266	8	under	under	ADP
easat-9393	266	9	the	the	DET
easat-9393	266	10	terms	term	NOUN
easat-9393	266	11	and	and	CCONJ
easat-9393	266	12	conditions	condition	NOUN
easat-9393	266	13	of	of	ADP
easat-9393	266	14	the	the	DET
easat-9393	266	15	creative	creative	ADJ
easat-9393	266	16	commons	common	NOUN
easat-9393	266	17	attribution	attribution	NOUN
easat-9393	266	18	(	(	PUNCT
easat-9393	266	19	cc	cc	NOUN
easat-9393	266	20	by	by	ADP
easat-9393	266	21	)	)	PUNCT
easat-9393	266	22	license	license	NOUN
easat-9393	266	23	(	(	PUNCT
easat-9393	266	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-9393	266	25	)	)	PUNCT
easat-9393	266	26	.	.	PUNCT
easat-9393	267	1	references	reference	NOUN
easat-9393	268	1	[	[	X
easat-9393	268	2	1	1	NUM
easat-9393	268	3	]	]	PUNCT
easat-9393	268	4	c.	c.	PROPN
easat-9393	268	5	hou	hou	PROPN
easat-9393	268	6	et	et	PROPN
easat-9393	268	7	al	al	PROPN
easat-9393	268	8	.	.	PROPN
easat-9393	268	9	,	,	PUNCT
easat-9393	268	10	"	"	PUNCT
easat-9393	268	11	medical	medical	ADJ
easat-9393	268	12	conditions	condition	NOUN
easat-9393	268	13	associated	associate	VERB
easat-9393	268	14	with	with	ADP
easat-9393	268	15	coffee	coffee	NOUN
easat-9393	268	16	consumption	consumption	NOUN
easat-9393	268	17	:	:	PUNCT
easat-9393	268	18	disease	disease	NOUN
easat-9393	268	19	-	-	PUNCT
easat-9393	268	20	trajectory	trajectory	NOUN
easat-9393	268	21	and	and	CCONJ
easat-9393	268	22	comorbidity	comorbidity	NOUN
easat-9393	268	23	network	network	NOUN
easat-9393	268	24	analyses	analysis	NOUN
easat-9393	268	25	of	of	ADP
easat-9393	268	26	a	a	DET
easat-9393	268	27	prospective	prospective	ADJ
easat-9393	268	28	cohort	cohort	NOUN
easat-9393	268	29	study	study	NOUN
easat-9393	268	30	in	in	ADP
easat-9393	268	31	uk	uk	PROPN
easat-9393	268	32	biobank	biobank	NOUN
easat-9393	268	33	,	,	PUNCT
easat-9393	268	34	"	"	PUNCT
easat-9393	268	35	the	the	DET
easat-9393	268	36	american	american	PROPN
easat-9393	268	37	journal	journal	PROPN
easat-9393	268	38	of	of	ADP
easat-9393	268	39	clinical	clinical	ADJ
easat-9393	268	40	nutrition	nutrition	NOUN
easat-9393	268	41	,	,	PUNCT
easat-9393	268	42	vol	vol	NOUN
easat-9393	268	43	.	.	PROPN
easat-9393	269	1	116	116	NUM
easat-9393	269	2	,	,	PUNCT
easat-9393	269	3	no	no	INTJ
easat-9393	269	4	.	.	NOUN
easat-9393	269	5	3	3	NUM
easat-9393	269	6	,	,	PUNCT
easat-9393	269	7	pp	pp	ADJ
easat-9393	269	8	.	.	PUNCT
easat-9393	270	1	730	730	NUM
easat-9393	270	2	-	-	SYM
easat-9393	270	3	740	740	NUM
easat-9393	270	4	,	,	PUNCT
easat-9393	270	5	2022	2022	NUM
easat-9393	270	6	.	.	PUNCT
easat-9393	271	1	https://doi.org/10.1093/ajcn/nqac148	https://doi.org/10.1093/ajcn/nqac148	ADJ
easat-9393	271	2	[	[	X
easat-9393	271	3	2	2	NUM
easat-9393	271	4	]	]	X
easat-9393	271	5	c.-h	c.-h	NOUN
easat-9393	271	6	.	.	PUNCT
easat-9393	272	1	hsia	hsia	PROPN
easat-9393	272	2	,	,	PUNCT
easat-9393	272	3	y.-h	y.-h	PROPN
easat-9393	272	4	.	.	PUNCT
easat-9393	272	5	lee	lee	PROPN
easat-9393	272	6	,	,	PUNCT
easat-9393	272	7	and	and	CCONJ
easat-9393	272	8	c.-f	c.-f	NOUN
easat-9393	272	9	.	.	PUNCT
easat-9393	273	1	lai	lai	PROPN
easat-9393	273	2	,	,	PUNCT
easat-9393	273	3	"	"	PUNCT
easat-9393	273	4	an	an	DET
easat-9393	273	5	explainable	explainable	ADJ
easat-9393	273	6	and	and	CCONJ
easat-9393	273	7	lightweight	lightweight	ADJ
easat-9393	273	8	deep	deep	ADJ
easat-9393	273	9	convolutional	convolutional	ADJ
easat-9393	273	10	neural	neural	ADJ
easat-9393	273	11	network	network	NOUN
easat-9393	273	12	for	for	ADP
easat-9393	273	13	quality	quality	NOUN
easat-9393	273	14	detection	detection	NOUN
easat-9393	273	15	of	of	ADP
easat-9393	273	16	green	green	ADJ
easat-9393	273	17	coffee	coffee	NOUN
easat-9393	273	18	beans	bean	NOUN
easat-9393	273	19	,	,	PUNCT
easat-9393	273	20	"	"	PUNCT
easat-9393	273	21	applied	apply	VERB
easat-9393	273	22	sciences	science	NOUN
easat-9393	273	23	,	,	PUNCT
easat-9393	273	24	vol	vol	NOUN
easat-9393	273	25	.	.	PROPN
easat-9393	273	26	12	12	NUM
easat-9393	273	27	,	,	PUNCT
easat-9393	273	28	no	no	INTJ
easat-9393	273	29	.	.	NOUN
easat-9393	273	30	21	21	NUM
easat-9393	273	31	,	,	PUNCT
easat-9393	273	32	p.	p.	NOUN
easat-9393	273	33	10966	10966	NUM
easat-9393	273	34	,	,	PUNCT
easat-9393	273	35	2022	2022	NUM
easat-9393	273	36	.	.	PUNCT
easat-9393	274	1	https://doi.org/10.3390/app122110966	https://doi.org/10.3390/app122110966	X
easat-9393	274	2	[	[	X
easat-9393	274	3	3	3	X
easat-9393	274	4	]	]	X
easat-9393	274	5	g.	g.	PROPN
easat-9393	274	6	vilcamiza	vilcamiza	PROPN
easat-9393	274	7	,	,	PUNCT
easat-9393	274	8	n.	n.	PROPN
easat-9393	274	9	trelles	trelle	NOUN
easat-9393	274	10	,	,	PUNCT
easat-9393	274	11	l.	l.	PROPN
easat-9393	274	12	vinces	vinces	PROPN
easat-9393	274	13	,	,	PUNCT
easat-9393	274	14	and	and	CCONJ
easat-9393	274	15	j.	j.	PROPN
easat-9393	274	16	oliden	oliden	PROPN
easat-9393	274	17	,	,	PUNCT
easat-9393	274	18	"	"	PUNCT
easat-9393	274	19	a	a	DET
easat-9393	274	20	coffee	coffee	NOUN
easat-9393	274	21	bean	bean	NOUN
easat-9393	274	22	classifier	classifier	NOUN
easat-9393	274	23	system	system	NOUN
easat-9393	274	24	by	by	ADP
easat-9393	274	25	roast	roast	NOUN
easat-9393	274	26	quality	quality	NOUN
easat-9393	274	27	using	use	VERB
easat-9393	274	28	convolutional	convolutional	ADJ
easat-9393	274	29	neural	neural	ADJ
easat-9393	274	30	networks	network	NOUN
easat-9393	274	31	and	and	CCONJ
easat-9393	274	32	computer	computer	NOUN
easat-9393	274	33	vision	vision	NOUN
easat-9393	274	34	implemented	implement	VERB
easat-9393	274	35	in	in	ADP
easat-9393	274	36	an	an	DET
easat-9393	274	37	nvidia	nvidia	PROPN
easat-9393	274	38	jetson	jetson	PROPN
easat-9393	274	39	nano	nano	NOUN
easat-9393	274	40	,	,	PUNCT
easat-9393	274	41	"	"	PUNCT
easat-9393	274	42	in	in	ADP
easat-9393	274	43	2022	2022	NUM
easat-9393	274	44	congreso	congreso	PROPN
easat-9393	274	45	internacional	internacional	PROPN
easat-9393	274	46	de	de	PROPN
easat-9393	274	47	innovación	innovación	PROPN
easat-9393	274	48	y	y	PROPN
easat-9393	274	49	tendencias	tendencias	PROPN
easat-9393	274	50	en	en	PROPN
easat-9393	274	51	ingeniería	ingeniería	PROPN
easat-9393	274	52	(	(	PUNCT
easat-9393	274	53	coniiti	coniiti	PROPN
easat-9393	274	54	)	)	PUNCT
easat-9393	274	55	,	,	PUNCT
easat-9393	274	56	2022	2022	NUM
easat-9393	274	57	.	.	PUNCT
easat-9393	275	1	[	[	X
easat-9393	275	2	4	4	X
easat-9393	275	3	]	]	PUNCT
easat-9393	275	4	j.	j.	PROPN
easat-9393	275	5	y.	y.	PROPN
easat-9393	275	6	lee	lee	PROPN
easat-9393	275	7	and	and	CCONJ
easat-9393	275	8	y.	y.	PROPN
easat-9393	275	9	s.	s.	PROPN
easat-9393	275	10	jeong	jeong	PROPN
easat-9393	275	11	,	,	PUNCT
easat-9393	275	12	"	"	PUNCT
easat-9393	275	13	prediction	prediction	NOUN
easat-9393	275	14	of	of	ADP
easat-9393	275	15	defect	defect	ADJ
easat-9393	275	16	coffee	coffee	NOUN
easat-9393	275	17	beans	bean	NOUN
easat-9393	275	18	using	use	VERB
easat-9393	275	19	cnn	cnn	PROPN
easat-9393	275	20	,	,	PUNCT
easat-9393	275	21	"	"	PUNCT
easat-9393	275	22	presented	present	VERB
easat-9393	275	23	at	at	ADP
easat-9393	275	24	the	the	DET
easat-9393	275	25	2022	2022	NUM
easat-9393	275	26	ieee	ieee	NOUN
easat-9393	275	27	international	international	ADJ
easat-9393	275	28	conference	conference	NOUN
easat-9393	275	29	on	on	ADP
easat-9393	275	30	big	big	ADJ
easat-9393	275	31	data	datum	NOUN
easat-9393	275	32	and	and	CCONJ
easat-9393	275	33	smart	smart	ADJ
easat-9393	275	34	computing	computing	NOUN
easat-9393	275	35	(	(	PUNCT
easat-9393	275	36	bigcomp	bigcomp	NOUN
easat-9393	275	37	)	)	PUNCT
easat-9393	275	38	(	(	PUNCT
easat-9393	275	39	pp	pp	ADV
easat-9393	275	40	.	.	PUNCT
easat-9393	275	41	 	 	SPACE
easat-9393	275	42	202–205	202–205	NUM
easat-9393	275	43	)	)	PUNCT
easat-9393	275	44	,	,	PUNCT
easat-9393	275	45	2022	2022	NUM
easat-9393	275	46	.	.	PUNCT
easat-9393	276	1	[	[	X
easat-9393	276	2	5	5	NUM
easat-9393	276	3	]	]	PUNCT
easat-9393	276	4	n.	n.	PROPN
easat-9393	276	5	k.	k.	PROPN
easat-9393	276	6	naik	naik	PROPN
easat-9393	276	7	and	and	CCONJ
easat-9393	276	8	p.	p.	PROPN
easat-9393	276	9	k.	k.	PROPN
easat-9393	277	1	sethy	sethy	ADJ
easat-9393	277	2	,	,	PUNCT
easat-9393	277	3	"	"	PUNCT
easat-9393	277	4	roasted	roasted	ADJ
easat-9393	277	5	coffee	coffee	NOUN
easat-9393	277	6	beans	bean	NOUN
easat-9393	277	7	classification	classification	NOUN
easat-9393	277	8	based	base	VERB
easat-9393	277	9	on	on	ADP
easat-9393	277	10	convolutional	convolutional	ADJ
easat-9393	277	11	neural	neural	ADJ
easat-9393	277	12	network	network	NOUN
easat-9393	277	13	,	,	PUNCT
easat-9393	277	14	"	"	PUNCT
easat-9393	277	15	in	in	ADP
easat-9393	277	16	2022	2022	NUM
easat-9393	277	17	international	international	ADJ
easat-9393	277	18	conference	conference	NOUN
easat-9393	277	19	on	on	ADP
easat-9393	277	20	futuristic	futuristic	ADJ
easat-9393	277	21	technologies	technology	NOUN
easat-9393	277	22	(	(	PUNCT
easat-9393	277	23	incoft	incoft	ADV
easat-9393	277	24	)	)	PUNCT
easat-9393	277	25	(	(	PUNCT
easat-9393	277	26	pp	pp	X
easat-9393	277	27	.	.	PUNCT
easat-9393	278	1	1	1	NUM
easat-9393	278	2	-	-	SYM
easat-9393	278	3	3	3	NUM
easat-9393	278	4	)	)	PUNCT
easat-9393	278	5	.	.	PUNCT
easat-9393	279	1	ieee	ieee	NOUN
easat-9393	279	2	,	,	PUNCT
easat-9393	279	3	2022	2022	NUM
easat-9393	279	4	.	.	PUNCT
easat-9393	280	1	[	[	X
easat-9393	280	2	6	6	NUM
easat-9393	280	3	]	]	PUNCT
easat-9393	280	4	b.	b.	PROPN
easat-9393	280	5	shao	shao	PROPN
easat-9393	280	6	,	,	PUNCT
easat-9393	280	7	y.	y.	PROPN
easat-9393	280	8	hou	hou	PROPN
easat-9393	280	9	,	,	PUNCT
easat-9393	280	10	n.	n.	PROPN
easat-9393	280	11	huang	huang	PROPN
easat-9393	280	12	,	,	PUNCT
easat-9393	280	13	w.	w.	PROPN
easat-9393	280	14	wang	wang	PROPN
easat-9393	280	15	,	,	PUNCT
easat-9393	280	16	x.	x.	PROPN
easat-9393	280	17	lu	lu	PROPN
easat-9393	280	18	,	,	PUNCT
easat-9393	280	19	and	and	CCONJ
easat-9393	280	20	y.	y.	PROPN
easat-9393	280	21	jing	jing	PROPN
easat-9393	280	22	,	,	PUNCT
easat-9393	280	23	"	"	PUNCT
easat-9393	280	24	deep	deep	ADJ
easat-9393	280	25	learning	learning	NOUN
easat-9393	280	26	based	base	VERB
easat-9393	280	27	coffee	coffee	NOUN
easat-9393	280	28	beans	bean	NOUN
easat-9393	280	29	quality	quality	NOUN
easat-9393	280	30	screening	screening	NOUN
easat-9393	280	31	,	,	PUNCT
easat-9393	280	32	"	"	PUNCT
easat-9393	280	33	in	in	ADP
easat-9393	280	34	2022	2022	NUM
easat-9393	280	35	ieee	ieee	NOUN
easat-9393	280	36	international	international	ADJ
easat-9393	280	37	conference	conference	NOUN
easat-9393	280	38	on	on	ADP
easat-9393	280	39	e	e	NOUN
easat-9393	280	40	-	-	NOUN
easat-9393	280	41	business	business	ADJ
easat-9393	280	42	engineering	engineering	NOUN
easat-9393	280	43	(	(	PUNCT
easat-9393	280	44	icebe	icebe	NOUN
easat-9393	280	45	)	)	PUNCT
easat-9393	280	46	,	,	PUNCT
easat-9393	280	47	pp	pp	ADP
easat-9393	280	48	.	.	PUNCT
easat-9393	281	1	271	271	NUM
easat-9393	281	2	-	-	SYM
easat-9393	281	3	275	275	NUM
easat-9393	281	4	.	.	PUNCT
easat-9393	281	5	ieee	ieee	NOUN
easat-9393	281	6	,	,	PUNCT
easat-9393	281	7	2022	2022	NUM
easat-9393	281	8	.	.	PUNCT
easat-9393	282	1	[	[	X
easat-9393	282	2	7	7	X
easat-9393	282	3	]	]	PUNCT
easat-9393	282	4	y.-f	y.-f	PROPN
easat-9393	282	5	.	.	PUNCT
easat-9393	283	1	wang	wang	PROPN
easat-9393	283	2	,	,	PUNCT
easat-9393	283	3	c.-c	c.-c	PROPN
easat-9393	283	4	.	.	PUNCT
easat-9393	284	1	cheng	cheng	PROPN
easat-9393	284	2	,	,	PUNCT
easat-9393	284	3	and	and	CCONJ
easat-9393	284	4	j.-k	j.-k	PROPN
easat-9393	284	5	.	.	PUNCT
easat-9393	285	1	tsai	tsai	PROPN
easat-9393	285	2	,	,	PUNCT
easat-9393	285	3	"	"	PUNCT
easat-9393	285	4	implementation	implementation	NOUN
easat-9393	285	5	of	of	ADP
easat-9393	285	6	green	green	ADJ
easat-9393	285	7	coffee	coffee	NOUN
easat-9393	285	8	bean	bean	NOUN
easat-9393	285	9	quality	quality	NOUN
easat-9393	285	10	classification	classification	NOUN
easat-9393	285	11	using	use	VERB
easat-9393	285	12	slim	slim	NOUN
easat-9393	285	13	-	-	PUNCT
easat-9393	285	14	cnn	cnn	PROPN
easat-9393	285	15	in	in	ADP
easat-9393	285	16	edge	edge	NOUN
easat-9393	285	17	computing	computing	NOUN
easat-9393	285	18	,	,	PUNCT
easat-9393	285	19	"	"	PUNCT
easat-9393	285	20	in	in	ADP
easat-9393	285	21	2022	2022	NUM
easat-9393	285	22	ieee	ieee	NOUN
easat-9393	285	23	5th	5th	ADJ
easat-9393	285	24	international	international	ADJ
easat-9393	285	25	conference	conference	NOUN
easat-9393	285	26	on	on	ADP
easat-9393	285	27	knowledge	knowledge	NOUN
easat-9393	285	28	innovation	innovation	NOUN
easat-9393	285	29	and	and	CCONJ
easat-9393	285	30	invention	invention	NOUN
easat-9393	285	31	(	(	PUNCT
easat-9393	285	32	ickii	ickii	PROPN
easat-9393	285	33	)	)	PUNCT
easat-9393	285	34	(	(	PUNCT
easat-9393	285	35	pp	pp	ADP
easat-9393	285	36	.	.	PUNCT
easat-9393	285	37	133135	133135	NUM
easat-9393	285	38	)	)	PUNCT
easat-9393	285	39	.	.	PUNCT
easat-9393	286	1	ieee	ieee	NOUN
easat-9393	286	2	,	,	PUNCT
easat-9393	286	3	2022	2022	NUM
easat-9393	286	4	.	.	PUNCT
easat-9393	287	1	[	[	X
easat-9393	287	2	8	8	NUM
easat-9393	287	3	]	]	X
easat-9393	287	4	r.	r.	PROPN
easat-9393	287	5	e.	e.	PROPN
easat-9393	287	6	angelia	angelia	PROPN
easat-9393	287	7	,	,	PUNCT
easat-9393	287	8	k.	k.	PROPN
easat-9393	287	9	c.	c.	PROPN
easat-9393	287	10	r.	r.	PROPN
easat-9393	287	11	villaverde	villaverde	PROPN
easat-9393	287	12	,	,	PUNCT
easat-9393	287	13	k.	k.	PROPN
easat-9393	287	14	e.	e.	PROPN
easat-9393	287	15	recto	recto	PROPN
easat-9393	287	16	,	,	PUNCT
easat-9393	287	17	and	and	CCONJ
easat-9393	287	18	r.	r.	PROPN
easat-9393	287	19	b.	b.	PROPN
easat-9393	287	20	bactat	bactat	PROPN
easat-9393	287	21	,	,	PUNCT
easat-9393	287	22	"	"	PUNCT
easat-9393	287	23	dried	dry	VERB
easat-9393	287	24	robusta	robusta	NOUN
easat-9393	287	25	coffee	coffee	NOUN
easat-9393	287	26	bean	bean	NOUN
easat-9393	287	27	quality	quality	NOUN
easat-9393	287	28	classification	classification	NOUN
easat-9393	287	29	using	use	VERB
easat-9393	287	30	convolutional	convolutional	ADJ
easat-9393	287	31	neural	neural	ADJ
easat-9393	287	32	network	network	NOUN
easat-9393	287	33	algorithm	algorithm	NOUN
easat-9393	287	34	,	,	PUNCT
easat-9393	287	35	"	"	PUNCT
easat-9393	287	36	in	in	ADP
easat-9393	287	37	proceedings	proceeding	NOUN
easat-9393	287	38	of	of	ADP
easat-9393	287	39	the	the	DET
easat-9393	287	40	2021	2021	NUM
easat-9393	287	41	7th	7th	ADJ
easat-9393	287	42	international	international	ADJ
easat-9393	287	43	conference	conference	NOUN
easat-9393	287	44	on	on	ADP
easat-9393	287	45	computing	computing	NOUN
easat-9393	287	46	and	and	CCONJ
easat-9393	287	47	artificial	artificial	ADJ
easat-9393	287	48	intelligence	intelligence	NOUN
easat-9393	287	49	(	(	PUNCT
easat-9393	287	50	pp	pp	ADJ
easat-9393	287	51	.	.	PUNCT
easat-9393	288	1	57	57	NUM
easat-9393	288	2	-	-	SYM
easat-9393	288	3	61	61	NUM
easat-9393	288	4	)	)	PUNCT
easat-9393	288	5	,	,	PUNCT
easat-9393	288	6	2021	2021	NUM
easat-9393	288	7	.	.	PUNCT
easat-9393	289	1	[	[	X
easat-9393	289	2	9	9	NUM
easat-9393	289	3	]	]	PUNCT
easat-9393	289	4	n.-f	n.-f	NOUN
easat-9393	289	5	.	.	PUNCT
easat-9393	290	1	huang	huang	PROPN
easat-9393	290	2	,	,	PUNCT
easat-9393	290	3	d.-l	d.-l	PROPN
easat-9393	290	4	.	.	PUNCT
easat-9393	291	1	chou	chou	NOUN
easat-9393	291	2	,	,	PUNCT
easat-9393	291	3	and	and	CCONJ
easat-9393	291	4	c.-a	c.-a	PROPN
easat-9393	291	5	.	.	PUNCT
easat-9393	292	1	lee	lee	PROPN
easat-9393	292	2	,	,	PUNCT
easat-9393	292	3	"	"	PUNCT
easat-9393	292	4	real	real	ADJ
easat-9393	292	5	-	-	PUNCT
easat-9393	292	6	time	time	NOUN
easat-9393	292	7	classification	classification	NOUN
easat-9393	292	8	of	of	ADP
easat-9393	292	9	green	green	ADJ
easat-9393	292	10	coffee	coffee	NOUN
easat-9393	292	11	beans	bean	NOUN
easat-9393	292	12	by	by	ADP
easat-9393	292	13	using	use	VERB
easat-9393	292	14	a	a	DET
easat-9393	292	15	convolutional	convolutional	ADJ
easat-9393	292	16	neural	neural	ADJ
easat-9393	292	17	network	network	NOUN
easat-9393	292	18	,	,	PUNCT
easat-9393	292	19	"	"	PUNCT
easat-9393	292	20	in	in	ADP
easat-9393	292	21	2019	2019	NUM
easat-9393	292	22	3rd	3rd	ADJ
easat-9393	292	23	international	international	ADJ
easat-9393	292	24	conference	conference	NOUN
easat-9393	292	25	on	on	ADP
easat-9393	292	26	imaging	imaging	NOUN
easat-9393	292	27	,	,	PUNCT
easat-9393	292	28	signal	signal	NOUN
easat-9393	292	29	processing	processing	NOUN
easat-9393	292	30	and	and	CCONJ
easat-9393	292	31	communication	communication	NOUN
easat-9393	292	32	(	(	PUNCT
easat-9393	292	33	icispc	icispc	NOUN
easat-9393	292	34	)	)	PUNCT
easat-9393	292	35	,	,	PUNCT
easat-9393	292	36	pp	pp	ADP
easat-9393	292	37	.	.	PUNCT
easat-9393	293	1	107	107	NUM
easat-9393	293	2	-	-	SYM
easat-9393	293	3	111	111	NUM
easat-9393	293	4	.	.	PUNCT
easat-9393	294	1	ieee	ieee	NOUN
easat-9393	294	2	,	,	PUNCT
easat-9393	294	3	2019	2019	NUM
easat-9393	294	4	.	.	PUNCT
easat-9393	295	1	[	[	X
easat-9393	295	2	10	10	NUM
easat-9393	295	3	]	]	PUNCT
easat-9393	295	4	s.	s.	PROPN
easat-9393	295	5	j.	j.	PROPN
easat-9393	295	6	chang	chang	PROPN
easat-9393	295	7	and	and	CCONJ
easat-9393	295	8	k.	k.	PROPN
easat-9393	295	9	h.	h.	PROPN
easat-9393	295	10	liu	liu	PROPN
easat-9393	295	11	,	,	PUNCT
easat-9393	295	12	"	"	PUNCT
easat-9393	295	13	multiscale	multiscale	ADJ
easat-9393	295	14	defect	defect	NOUN
easat-9393	295	15	extraction	extraction	NOUN
easat-9393	295	16	neural	neural	ADJ
easat-9393	295	17	network	network	NOUN
easat-9393	295	18	for	for	ADP
easat-9393	295	19	green	green	ADJ
easat-9393	295	20	coffee	coffee	NOUN
easat-9393	295	21	bean	bean	NOUN
easat-9393	295	22	defects	defect	NOUN
easat-9393	295	23	detection	detection	NOUN
easat-9393	295	24	,	,	PUNCT
easat-9393	295	25	"	"	PUNCT
easat-9393	295	26	ieee	ieee	NOUN
easat-9393	295	27	access	access	NOUN
easat-9393	295	28	,	,	PUNCT
easat-9393	295	29	vol	vol	NOUN
easat-9393	295	30	.	.	PROPN
easat-9393	295	31	12	12	NUM
easat-9393	295	32	,	,	PUNCT
easat-9393	295	33	pp	pp	ADJ
easat-9393	295	34	.	.	PUNCT
easat-9393	295	35	15856	15856	NUM
easat-9393	295	36	-	-	SYM
easat-9393	295	37	15866	15866	NUM
easat-9393	295	38	,	,	PUNCT
easat-9393	295	39	2024	2024	NUM
easat-9393	295	40	.	.	PUNCT
easat-9393	296	1	https://doi.org/10.1109/access.2024.3356596	https://doi.org/10.1109/access.2024.3356596	PROPN
easat-9393	297	1	[	[	X
easat-9393	297	2	11	11	NUM
easat-9393	297	3	]	]	PUNCT
easat-9393	297	4	e.	e.	PROPN
easat-9393	297	5	hassan	hassan	PROPN
easat-9393	297	6	,	,	PUNCT
easat-9393	297	7	"	"	PUNCT
easat-9393	297	8	enhancing	enhance	VERB
easat-9393	297	9	coffee	coffee	NOUN
easat-9393	297	10	bean	bean	NOUN
easat-9393	297	11	classification	classification	NOUN
easat-9393	297	12	:	:	PUNCT
easat-9393	297	13	a	a	DET
easat-9393	297	14	comparative	comparative	ADJ
easat-9393	297	15	analysis	analysis	NOUN
easat-9393	297	16	of	of	ADP
easat-9393	297	17	pre	pre	ADJ
easat-9393	297	18	-	-	ADJ
easat-9393	297	19	trained	train	VERB
easat-9393	297	20	deep	deep	ADJ
easat-9393	297	21	learning	learning	NOUN
easat-9393	297	22	models	model	NOUN
easat-9393	297	23	,	,	PUNCT
easat-9393	297	24	"	"	PUNCT
easat-9393	297	25	neural	neural	ADJ
easat-9393	297	26	computing	computing	NOUN
easat-9393	297	27	and	and	CCONJ
easat-9393	297	28	applications	application	NOUN
easat-9393	297	29	,	,	PUNCT
easat-9393	297	30	vol	vol	NOUN
easat-9393	297	31	.	.	PROPN
easat-9393	298	1	36	36	NUM
easat-9393	298	2	,	,	PUNCT
easat-9393	298	3	no	no	INTJ
easat-9393	298	4	.	.	NOUN
easat-9393	298	5	16	16	NUM
easat-9393	298	6	,	,	PUNCT
easat-9393	298	7	pp	pp	ADJ
easat-9393	298	8	.	.	PUNCT
easat-9393	299	1	9023	9023	NUM
easat-9393	299	2	-	-	SYM
easat-9393	299	3	9052	9052	NUM
easat-9393	299	4	,	,	PUNCT
easat-9393	299	5	2024	2024	NUM
easat-9393	299	6	.	.	PUNCT
easat-9393	300	1	https://doi.org/10.1007/s00521-024-09623-z	https://doi.org/10.1007/s00521-024-09623-z	NOUN
easat-9393	301	1	[	[	X
easat-9393	301	2	12	12	NUM
easat-9393	301	3	]	]	PUNCT
easat-9393	301	4	c.-s	c.-	NOUN
easat-9393	301	5	.	.	PUNCT
easat-9393	302	1	liang	liang	PROPN
easat-9393	302	2	,	,	PUNCT
easat-9393	302	3	z.-y	z.-y	PROPN
easat-9393	302	4	.	.	PUNCT
easat-9393	303	1	xu	xu	PROPN
easat-9393	303	2	,	,	PUNCT
easat-9393	303	3	j.-y	j.-y	PROPN
easat-9393	303	4	.	.	PUNCT
easat-9393	304	1	zhou	zhou	PROPN
easat-9393	304	2	,	,	PUNCT
easat-9393	304	3	c.-m	c.-m	NOUN
easat-9393	304	4	.	.	PUNCT
easat-9393	305	1	yang	yang	PROPN
easat-9393	305	2	,	,	PUNCT
easat-9393	305	3	and	and	CCONJ
easat-9393	305	4	j.-y	j.-y	NOUN
easat-9393	305	5	.	.	PUNCT
easat-9393	306	1	chen	chen	PROPN
easat-9393	306	2	,	,	PUNCT
easat-9393	306	3	"	"	PUNCT
easat-9393	306	4	automated	automate	VERB
easat-9393	306	5	detection	detection	NOUN
easat-9393	306	6	of	of	ADP
easat-9393	306	7	coffee	coffee	NOUN
easat-9393	306	8	bean	bean	NOUN
easat-9393	306	9	defects	defect	NOUN
easat-9393	306	10	using	use	VERB
easat-9393	306	11	multi	multi	ADJ
easat-9393	306	12	-	-	ADJ
easat-9393	306	13	deep	deep	ADJ
easat-9393	306	14	learning	learning	NOUN
easat-9393	306	15	models	model	NOUN
easat-9393	306	16	,	,	PUNCT
easat-9393	306	17	"	"	PUNCT
easat-9393	306	18	in	in	ADP
easat-9393	306	19	2023	2023	NUM
easat-9393	306	20	vts	vts	NOUN
easat-9393	306	21	asia	asia	PROPN
easat-9393	306	22	pacific	pacific	PROPN
easat-9393	306	23	wireless	wireless	PROPN
easat-9393	306	24	communications	communication	NOUN
easat-9393	306	25	symposium	symposium	NOUN
easat-9393	306	26	(	(	PUNCT
easat-9393	306	27	apwcs	apwcs	PROPN
easat-9393	306	28	)	)	PUNCT
easat-9393	306	29	(	(	PUNCT
easat-9393	306	30	pp	pp	X
easat-9393	306	31	.	.	PUNCT
easat-9393	307	1	1	1	NUM
easat-9393	307	2	-	-	SYM
easat-9393	307	3	5	5	NUM
easat-9393	307	4	)	)	PUNCT
easat-9393	307	5	.	.	PUNCT
easat-9393	308	1	ieee	ieee	NOUN
easat-9393	308	2	,	,	PUNCT
easat-9393	308	3	2023	2023	NUM
easat-9393	308	4	.	.	PUNCT
easat-9393	309	1	[	[	X
easat-9393	309	2	13	13	NUM
easat-9393	309	3	]	]	PUNCT
easat-9393	309	4	t.	t.	PROPN
easat-9393	309	5	micaraseth	micaraseth	PROPN
easat-9393	309	6	,	,	PUNCT
easat-9393	309	7	k.	k.	PROPN
easat-9393	309	8	pornpipatsakul	pornpipatsakul	PROPN
easat-9393	309	9	,	,	PUNCT
easat-9393	309	10	r.	r.	PROPN
easat-9393	309	11	chancharoen	chancharoen	PROPN
easat-9393	309	12	,	,	PUNCT
easat-9393	309	13	and	and	CCONJ
easat-9393	309	14	g.	g.	PROPN
easat-9393	309	15	phanomchoeng	phanomchoeng	PROPN
easat-9393	309	16	,	,	PUNCT
easat-9393	309	17	"	"	PUNCT
easat-9393	309	18	coffee	coffee	NOUN
easat-9393	309	19	bean	bean	NOUN
easat-9393	309	20	inspection	inspection	NOUN
easat-9393	309	21	machine	machine	NOUN
easat-9393	309	22	with	with	ADP
easat-9393	309	23	deep	deep	ADJ
easat-9393	309	24	learning	learn	VERB
easat-9393	309	25	classification	classification	NOUN
easat-9393	309	26	,	,	PUNCT
easat-9393	309	27	"	"	PUNCT
easat-9393	309	28	in	in	ADP
easat-9393	309	29	2022	2022	NUM
easat-9393	309	30	international	international	ADJ
easat-9393	309	31	conference	conference	NOUN
easat-9393	309	32	on	on	ADP
easat-9393	309	33	electrical	electrical	ADJ
easat-9393	309	34	,	,	PUNCT
easat-9393	309	35	computer	computer	NOUN
easat-9393	309	36	,	,	PUNCT
easat-9393	309	37	communications	communication	NOUN
easat-9393	309	38	and	and	CCONJ
easat-9393	309	39	mechatronics	mechatronic	NOUN
easat-9393	309	40	engineering	engineering	NOUN
easat-9393	309	41	(	(	PUNCT
easat-9393	309	42	iceccme	iceccme	NOUN
easat-9393	309	43	)	)	PUNCT
easat-9393	309	44	(	(	PUNCT
easat-9393	309	45	pp	pp	X
easat-9393	309	46	.	.	PUNCT
easat-9393	310	1	1	1	NUM
easat-9393	310	2	-	-	SYM
easat-9393	310	3	5	5	NUM
easat-9393	310	4	)	)	PUNCT
easat-9393	310	5	.	.	PUNCT
easat-9393	311	1	ieee	ieee	NOUN
easat-9393	311	2	,	,	PUNCT
easat-9393	311	3	2022	2022	NUM
easat-9393	311	4	.	.	PUNCT
easat-9393	312	1	[	[	X
easat-9393	312	2	14	14	NUM
easat-9393	312	3	]	]	PUNCT
easat-9393	312	4	a.	a.	NOUN
easat-9393	312	5	febriana	febriana	PROPN
easat-9393	312	6	,	,	PUNCT
easat-9393	312	7	k.	k.	PROPN
easat-9393	312	8	muchtar	muchtar	PROPN
easat-9393	312	9	,	,	PUNCT
easat-9393	312	10	r.	r.	PROPN
easat-9393	312	11	dawood	dawood	PROPN
easat-9393	312	12	,	,	PUNCT
easat-9393	312	13	and	and	CCONJ
easat-9393	312	14	c.-y	c.-y	NOUN
easat-9393	312	15	.	.	PUNCT
easat-9393	313	1	lin	lin	PROPN
easat-9393	313	2	,	,	PUNCT
easat-9393	313	3	"	"	PUNCT
easat-9393	313	4	usk	usk	ADJ
easat-9393	313	5	-	-	PUNCT
easat-9393	313	6	coffee	coffee	NOUN
easat-9393	313	7	dataset	dataset	NOUN
easat-9393	313	8	:	:	PUNCT
easat-9393	313	9	a	a	DET
easat-9393	313	10	multi	multi	ADJ
easat-9393	313	11	-	-	ADJ
easat-9393	313	12	class	class	ADJ
easat-9393	313	13	green	green	ADJ
easat-9393	313	14	arabica	arabica	PROPN
easat-9393	313	15	coffee	coffee	NOUN
easat-9393	313	16	bean	bean	NOUN
easat-9393	313	17	dataset	dataset	VERB
easat-9393	313	18	for	for	ADP
easat-9393	313	19	deep	deep	ADJ
easat-9393	313	20	learning	learning	NOUN
easat-9393	313	21	,	,	PUNCT
easat-9393	313	22	"	"	PUNCT
easat-9393	313	23	in	in	ADP
easat-9393	313	24	2022	2022	NUM
easat-9393	313	25	ieee	ieee	NOUN
easat-9393	313	26	international	international	ADJ
easat-9393	313	27	conference	conference	NOUN
easat-9393	313	28	on	on	ADP
easat-9393	313	29	cybernetics	cybernetic	NOUN
easat-9393	313	30	and	and	CCONJ
easat-9393	313	31	computational	computational	ADJ
easat-9393	313	32	intelligence	intelligence	NOUN
easat-9393	313	33	(	(	PUNCT
easat-9393	313	34	cyberneticscom	cyberneticscom	PROPN
easat-9393	313	35	)	)	PUNCT
easat-9393	313	36	,	,	PUNCT
easat-9393	313	37	pp	pp	ADP
easat-9393	313	38	.	.	PUNCT
easat-9393	314	1	469	469	NUM
easat-9393	314	2	-	-	SYM
easat-9393	314	3	473	473	NUM
easat-9393	314	4	.	.	PUNCT
easat-9393	314	5	ieee	ieee	NOUN
easat-9393	314	6	,	,	PUNCT
easat-9393	314	7	2022	2022	NUM
easat-9393	314	8	.	.	PUNCT
easat-9393	315	1	[	[	X
easat-9393	315	2	15	15	X
easat-9393	315	3	]	]	X
easat-9393	315	4	y.	y.	NOUN
easat-9393	315	5	hendrawan	hendrawan	PROPN
easat-9393	315	6	et	et	PROPN
easat-9393	315	7	al	al	PROPN
easat-9393	315	8	.	.	PROPN
easat-9393	315	9	,	,	PUNCT
easat-9393	315	10	"	"	PUNCT
easat-9393	315	11	deep	deep	ADJ
easat-9393	315	12	learning	learning	NOUN
easat-9393	315	13	to	to	PART
easat-9393	315	14	detect	detect	VERB
easat-9393	315	15	and	and	CCONJ
easat-9393	315	16	classify	classify	VERB
easat-9393	315	17	the	the	DET
easat-9393	315	18	purity	purity	NOUN
easat-9393	315	19	level	level	NOUN
easat-9393	315	20	of	of	ADP
easat-9393	315	21	luwak	luwak	ADJ
easat-9393	315	22	coffee	coffee	NOUN
easat-9393	315	23	green	green	ADJ
easat-9393	315	24	beans	bean	NOUN
easat-9393	315	25	,	,	PUNCT
easat-9393	315	26	"	"	PUNCT
easat-9393	315	27	pertanika	pertanika	NOUN
easat-9393	315	28	journal	journal	NOUN
easat-9393	315	29	of	of	ADP
easat-9393	315	30	science	science	PROPN
easat-9393	315	31	&	&	CCONJ
easat-9393	315	32	technology	technology	PROPN
easat-9393	315	33	,	,	PUNCT
easat-9393	315	34	vol	vol	NOUN
easat-9393	315	35	.	.	PROPN
easat-9393	315	36	30	30	NUM
easat-9393	315	37	,	,	PUNCT
easat-9393	315	38	no	no	INTJ
easat-9393	315	39	.	.	NOUN
easat-9393	315	40	1	1	NUM
easat-9393	315	41	,	,	PUNCT
easat-9393	315	42	pp	pp	ADJ
easat-9393	315	43	.	.	PUNCT
easat-9393	316	1	1	1	NUM
easat-9393	316	2	-	-	SYM
easat-9393	316	3	18	18	NUM
easat-9393	316	4	,	,	PUNCT
easat-9393	316	5	2022	2022	NUM
easat-9393	316	6	.	.	PUNCT
easat-9393	317	1	https://doi.org/10.47836/pjst.30.1.01	https://doi.org/10.47836/pjst.30.1.01	PROPN
easat-9393	318	1	[	[	X
easat-9393	318	2	16	16	NUM
easat-9393	318	3	]	]	PUNCT
easat-9393	318	4	p.	p.	NOUN
easat-9393	318	5	sajjacholapunt	sajjacholapunt	PROPN
easat-9393	318	6	,	,	PUNCT
easat-9393	318	7	a.	a.	NOUN
easat-9393	318	8	supratak	supratak	PROPN
easat-9393	318	9	,	,	PUNCT
easat-9393	318	10	and	and	CCONJ
easat-9393	318	11	s.	s.	PROPN
easat-9393	318	12	tuarob	tuarob	PROPN
easat-9393	318	13	,	,	PUNCT
easat-9393	318	14	"	"	PUNCT
easat-9393	318	15	automatic	automatic	ADJ
easat-9393	318	16	measurement	measurement	NOUN
easat-9393	318	17	of	of	ADP
easat-9393	318	18	acidity	acidity	NOUN
easat-9393	318	19	from	from	ADP
easat-9393	318	20	roasted	roasted	ADJ
easat-9393	318	21	coffee	coffee	NOUN
easat-9393	318	22	beans	bean	NOUN
easat-9393	318	23	images	image	NOUN
easat-9393	318	24	using	use	VERB
easat-9393	318	25	efficient	efficient	ADJ
easat-9393	318	26	deep	deep	ADJ
easat-9393	318	27	learning	learning	NOUN
easat-9393	318	28	,	,	PUNCT
easat-9393	318	29	"	"	PUNCT
easat-9393	318	30	journal	journal	NOUN
easat-9393	318	31	of	of	ADP
easat-9393	318	32	food	food	NOUN
easat-9393	318	33	process	process	NOUN
easat-9393	318	34	engineering	engineering	NOUN
easat-9393	318	35	,	,	PUNCT
easat-9393	318	36	vol	vol	NOUN
easat-9393	318	37	.	.	PROPN
easat-9393	319	1	45	45	NUM
easat-9393	319	2	,	,	PUNCT
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easat-9393	319	4	.	.	NOUN
easat-9393	319	5	11	11	NUM
easat-9393	319	6	,	,	PUNCT
easat-9393	319	7	p.	p.	NOUN
easat-9393	319	8	e14147	e14147	PROPN
easat-9393	319	9	,	,	PUNCT
easat-9393	319	10	2022	2022	NUM
easat-9393	319	11	.	.	PUNCT
easat-9393	320	1	https://doi.org/10.1111/jfpe.14147	https://doi.org/10.1111/jfpe.14147	NOUN
easat-9393	321	1	[	[	X
easat-9393	321	2	17	17	NUM
easat-9393	321	3	]	]	PUNCT
easat-9393	321	4	k.	k.	PROPN
easat-9393	321	5	saddami	saddami	PROPN
easat-9393	321	6	,	,	PUNCT
easat-9393	321	7	n.	n.	PROPN
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easat-9393	321	9	,	,	PUNCT
easat-9393	321	10	and	and	CCONJ
easat-9393	321	11	v.	v.	ADP
easat-9393	321	12	maulidia	maulidia	PROPN
easat-9393	321	13	,	,	PUNCT
easat-9393	321	14	"	"	PUNCT
easat-9393	321	15	comparative	comparative	ADJ
easat-9393	321	16	analysis	analysis	NOUN
easat-9393	321	17	of	of	ADP
easat-9393	321	18	lightweight	lightweight	ADJ
easat-9393	321	19	pre	pre	ADJ
easat-9393	321	20	-	-	ADJ
easat-9393	321	21	trained	train	VERB
easat-9393	321	22	cnn	cnn	PROPN
easat-9393	321	23	models	model	NOUN
easat-9393	321	24	for	for	ADP
easat-9393	321	25	coffee	coffee	NOUN
easat-9393	321	26	bean	bean	NOUN
easat-9393	321	27	roasting	roasting	NOUN
easat-9393	321	28	level	level	NOUN
easat-9393	321	29	identification	identification	NOUN
easat-9393	321	30	,	,	PUNCT
easat-9393	321	31	"	"	PUNCT
easat-9393	321	32	in	in	ADP
easat-9393	321	33	2023	2023	NUM
easat-9393	321	34	2nd	2nd	ADJ
easat-9393	321	35	international	international	ADJ
easat-9393	321	36	conference	conference	NOUN
easat-9393	321	37	on	on	ADP
easat-9393	321	38	computer	computer	NOUN
easat-9393	321	39	system	system	NOUN
easat-9393	321	40	,	,	PUNCT
easat-9393	321	41	information	information	NOUN
easat-9393	321	42	technology	technology	NOUN
easat-9393	321	43	,	,	PUNCT
easat-9393	321	44	and	and	CCONJ
easat-9393	321	45	electrical	electrical	ADJ
easat-9393	321	46	engineering	engineering	NOUN
easat-9393	321	47	(	(	PUNCT
easat-9393	321	48	cosite	cosite	NOUN
easat-9393	321	49	)	)	PUNCT
easat-9393	321	50	(	(	PUNCT
easat-9393	321	51	pp	pp	X
easat-9393	321	52	.	.	PUNCT
easat-9393	322	1	13	13	NUM
easat-9393	322	2	-	-	SYM
easat-9393	322	3	18	18	NUM
easat-9393	322	4	)	)	PUNCT
easat-9393	322	5	.	.	PUNCT
easat-9393	323	1	ieee	ieee	NOUN
easat-9393	323	2	,	,	PUNCT
easat-9393	323	3	2023	2023	NUM
easat-9393	323	4	.	.	PUNCT
easat-9393	324	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
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easat-9393	324	3	https://doi.org/10.3390/app122110966	https://doi.org/10.3390/app122110966	PROPN
easat-9393	324	4	https://doi.org/10.1109/access.2024.3356596	https://doi.org/10.1109/access.2024.3356596	PROPN
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easat-9393	324	8	640	640	NUM
easat-9393	324	9	edelweiss	edelweiss	PROPN
easat-9393	324	10	applied	apply	VERB
easat-9393	324	11	science	science	NOUN
easat-9393	324	12	and	and	CCONJ
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easat-9393	324	14	issn	issn	PROPN
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easat-9393	324	16	2576	2576	NUM
easat-9393	324	17	-	-	SYM
easat-9393	324	18	8484	8484	NUM
easat-9393	324	19	vol	vol	NOUN
easat-9393	324	20	.	.	PROPN
easat-9393	325	1	9	9	NUM
easat-9393	325	2	,	,	PUNCT
easat-9393	325	3	no	no	INTJ
easat-9393	325	4	.	.	NOUN
easat-9393	325	5	8	8	NUM
easat-9393	325	6	:	:	PUNCT
easat-9393	325	7	624	624	NUM
easat-9393	325	8	-	-	SYM
easat-9393	325	9	640	640	NUM
easat-9393	325	10	,	,	PUNCT
easat-9393	325	11	2025	2025	NUM
easat-9393	325	12	doi	doi	NOUN
easat-9393	325	13	:	:	PUNCT
easat-9393	325	14	10.55214/2576	10.55214/2576	NUM
easat-9393	325	15	-	-	SYM
easat-9393	325	16	8484.v9i8.9393	8484.v9i8.9393	NUM
easat-9393	325	17	©	©	PROPN
easat-9393	325	18	2025	2025	NUM
easat-9393	325	19	by	by	ADP
easat-9393	325	20	the	the	DET
easat-9393	325	21	authors	author	NOUN
easat-9393	325	22	;	;	PUNCT
easat-9393	325	23	licensee	licensee	PROPN
easat-9393	325	24	learning	learning	NOUN
easat-9393	325	25	gate	gate	NOUN
easat-9393	326	1	[	[	X
easat-9393	326	2	18	18	NUM
easat-9393	326	3	]	]	PUNCT
easat-9393	326	4	m.	m.	NOUN
easat-9393	326	5	hakim	hakim	PROPN
easat-9393	326	6	,	,	PUNCT
easat-9393	326	7	t.	t.	PROPN
easat-9393	326	8	djatna	djatna	PROPN
easat-9393	326	9	,	,	PUNCT
easat-9393	326	10	and	and	CCONJ
easat-9393	326	11	i.	i.	PROPN
easat-9393	326	12	yuliasih	yuliasih	PROPN
easat-9393	326	13	,	,	PUNCT
easat-9393	326	14	"	"	PUNCT
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easat-9393	326	16	learning	learning	NOUN
easat-9393	326	17	for	for	ADP
easat-9393	326	18	roasting	roast	VERB
easat-9393	326	19	coffee	coffee	NOUN
easat-9393	326	20	bean	bean	NOUN
easat-9393	326	21	quality	quality	NOUN
easat-9393	326	22	assessment	assessment	NOUN
easat-9393	326	23	using	use	VERB
easat-9393	326	24	computer	computer	NOUN
easat-9393	326	25	vision	vision	NOUN
easat-9393	326	26	in	in	ADP
easat-9393	326	27	mobile	mobile	ADJ
easat-9393	326	28	environment	environment	NOUN
easat-9393	326	29	,	,	PUNCT
easat-9393	326	30	"	"	PUNCT
easat-9393	326	31	in	in	ADP
easat-9393	326	32	2020	2020	NUM
easat-9393	326	33	international	international	ADJ
easat-9393	326	34	conference	conference	NOUN
easat-9393	326	35	on	on	ADP
easat-9393	326	36	advanced	advanced	ADJ
easat-9393	326	37	computer	computer	NOUN
easat-9393	326	38	science	science	NOUN
easat-9393	326	39	and	and	CCONJ
easat-9393	326	40	information	information	NOUN
easat-9393	326	41	systems	system	NOUN
easat-9393	326	42	(	(	PUNCT
easat-9393	326	43	icacsis	icacsis	NOUN
easat-9393	326	44	)	)	PUNCT
easat-9393	326	45	(	(	PUNCT
easat-9393	326	46	pp	pp	X
easat-9393	326	47	.	.	PUNCT
easat-9393	327	1	363	363	NUM
easat-9393	327	2	-	-	SYM
easat-9393	327	3	370	370	NUM
easat-9393	327	4	)	)	PUNCT
easat-9393	327	5	.	.	PUNCT
easat-9393	328	1	ieee	ieee	PROPN
easat-9393	328	2	,	,	PUNCT
easat-9393	328	3	2020	2020	NUM
easat-9393	328	4	.	.	PUNCT
easat-9393	329	1	[	[	X
easat-9393	329	2	19	19	NUM
easat-9393	329	3	]	]	PUNCT
easat-9393	329	4	a.	a.	NOUN
easat-9393	329	5	j.	j.	PROPN
easat-9393	329	6	manansala	manansala	PROPN
easat-9393	329	7	and	and	CCONJ
easat-9393	329	8	e.	e.	PROPN
easat-9393	329	9	c.	c.	PROPN
easat-9393	329	10	c.	c.	PROPN
easat-9393	329	11	paglinawan	paglinawan	PROPN
easat-9393	329	12	,	,	PUNCT
easat-9393	329	13	"	"	PUNCT
easat-9393	329	14	classification	classification	NOUN
easat-9393	329	15	of	of	ADP
easat-9393	329	16	coffea	coffea	PROPN
easat-9393	329	17	liberica	liberica	PROPN
easat-9393	329	18	quality	quality	NOUN
easat-9393	329	19	using	use	VERB
easat-9393	329	20	convolution	convolution	NOUN
easat-9393	329	21	neural	neural	ADJ
easat-9393	329	22	networks	network	NOUN
easat-9393	329	23	(	(	PUNCT
easat-9393	329	24	slim	slim	NOUN
easat-9393	329	25	-	-	PUNCT
easat-9393	329	26	cnn	cnn	PROPN
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easat-9393	329	29	,	,	PUNCT
easat-9393	329	30	and	and	CCONJ
easat-9393	329	31	vgg-16	vgg-16	NOUN
easat-9393	329	32	)	)	PUNCT
easat-9393	329	33	,	,	PUNCT
easat-9393	329	34	"	"	PUNCT
easat-9393	329	35	in	in	ADP
easat-9393	329	36	2024	2024	NUM
easat-9393	329	37	15th	15th	ADJ
easat-9393	329	38	international	international	ADJ
easat-9393	329	39	conference	conference	NOUN
easat-9393	329	40	on	on	ADP
easat-9393	329	41	computing	compute	VERB
easat-9393	329	42	communication	communication	NOUN
easat-9393	329	43	and	and	CCONJ
easat-9393	329	44	networking	networking	NOUN
easat-9393	329	45	technologies	technology	NOUN
easat-9393	329	46	(	(	PUNCT
easat-9393	329	47	icccnt	icccnt	ADJ
easat-9393	329	48	)	)	PUNCT
easat-9393	329	49	(	(	PUNCT
easat-9393	329	50	pp	pp	X
easat-9393	329	51	.	.	PUNCT
easat-9393	330	1	1	1	NUM
easat-9393	330	2	-	-	SYM
easat-9393	330	3	6	6	NUM
easat-9393	330	4	)	)	PUNCT
easat-9393	330	5	.	.	PUNCT
easat-9393	331	1	ieee	ieee	NOUN
easat-9393	331	2	,	,	PUNCT
easat-9393	331	3	2024	2024	NUM
easat-9393	331	4	.	.	PUNCT
easat-9393	332	1	[	[	X
easat-9393	332	2	20	20	NUM
easat-9393	332	3	]	]	PUNCT
easat-9393	332	4	a.	a.	NOUN
easat-9393	332	5	pratondo	pratondo	NOUN
easat-9393	332	6	,	,	PUNCT
easat-9393	332	7	t.	t.	PROPN
easat-9393	332	8	zani	zani	PROPN
easat-9393	332	9	,	,	PUNCT
easat-9393	332	10	a.	a.	NOUN
easat-9393	332	11	novianty	novianty	NOUN
easat-9393	332	12	,	,	PUNCT
easat-9393	332	13	and	and	CCONJ
easat-9393	332	14	b.	b.	PROPN
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easat-9393	332	16	,	,	PUNCT
easat-9393	332	17	"	"	PUNCT
easat-9393	332	18	raw	raw	ADJ
easat-9393	332	19	coffee	coffee	NOUN
easat-9393	332	20	bean	bean	NOUN
easat-9393	332	21	classification	classification	NOUN
easat-9393	332	22	for	for	ADP
easat-9393	332	23	roasting	roast	VERB
easat-9393	332	24	suitability	suitability	NOUN
easat-9393	332	25	assessment	assessment	NOUN
easat-9393	332	26	using	use	VERB
easat-9393	332	27	transfer	transfer	NOUN
easat-9393	332	28	learning	learning	NOUN
easat-9393	332	29	,	,	PUNCT
easat-9393	332	30	"	"	PUNCT
easat-9393	332	31	in	in	ADP
easat-9393	332	32	2023	2023	NUM
easat-9393	332	33	ieee	ieee	NOUN
easat-9393	332	34	11th	11th	ADJ
easat-9393	332	35	conference	conference	NOUN
easat-9393	332	36	on	on	ADP
easat-9393	332	37	systems	system	NOUN
easat-9393	332	38	,	,	PUNCT
easat-9393	332	39	process	process	NOUN
easat-9393	332	40	&	&	CCONJ
easat-9393	332	41	control	control	PROPN
easat-9393	332	42	(	(	PUNCT
easat-9393	332	43	icspc	icspc	NOUN
easat-9393	332	44	)	)	PUNCT
easat-9393	332	45	(	(	PUNCT
easat-9393	332	46	pp	pp	ADV
easat-9393	332	47	.	.	PUNCT
easat-9393	332	48	 	 	SPACE
easat-9393	332	49	1–6	1–6	NUM
easat-9393	332	50	)	)	PUNCT
easat-9393	332	51	.	.	PUNCT
easat-9393	333	1	ieee	ieee	NOUN
easat-9393	333	2	,	,	PUNCT
easat-9393	333	3	2023	2023	NUM
easat-9393	333	4	.	.	PUNCT
easat-9393	334	1	[	[	X
easat-9393	334	2	21	21	NUM
easat-9393	334	3	]	]	PUNCT
easat-9393	334	4	l.-y	l.-y	NOUN
easat-9393	334	5	.	.	PUNCT
easat-9393	335	1	ke	ke	NOUN
easat-9393	335	2	,	,	PUNCT
easat-9393	335	3	p.-h	p.-h	PROPN
easat-9393	335	4	.	.	PUNCT
easat-9393	336	1	chiang	chiang	PROPN
easat-9393	336	2	,	,	PUNCT
easat-9393	336	3	c.-h	c.-h	PROPN
easat-9393	336	4	.	.	PUNCT
easat-9393	337	1	hsia	hsia	PROPN
easat-9393	337	2	,	,	PUNCT
easat-9393	337	3	and	and	CCONJ
easat-9393	337	4	s.-l	s.-l	NOUN
easat-9393	337	5	.	.	PUNCT
easat-9393	338	1	chen	chen	PROPN
easat-9393	338	2	,	,	PUNCT
easat-9393	338	3	"	"	PUNCT
easat-9393	338	4	lightweight	lightweight	ADJ
easat-9393	338	5	deep	deep	ADJ
easat-9393	338	6	convolution	convolution	NOUN
easat-9393	338	7	neural	neural	ADJ
easat-9393	338	8	network	network	NOUN
easat-9393	338	9	for	for	ADP
easat-9393	338	10	green	green	ADJ
easat-9393	338	11	coffee	coffee	NOUN
easat-9393	338	12	bean	bean	NOUN
easat-9393	338	13	defects	defect	NOUN
easat-9393	338	14	detection	detection	NOUN
easat-9393	338	15	,	,	PUNCT
easat-9393	338	16	"	"	PUNCT
easat-9393	338	17	in	in	ADP
easat-9393	338	18	2023	2023	NUM
easat-9393	338	19	ieee	ieee	NOUN
easat-9393	338	20	6th	6th	ADJ
easat-9393	338	21	international	international	ADJ
easat-9393	338	22	conference	conference	NOUN
easat-9393	338	23	on	on	ADP
easat-9393	338	24	knowledge	knowledge	NOUN
easat-9393	338	25	innovation	innovation	NOUN
easat-9393	338	26	and	and	CCONJ
easat-9393	338	27	invention	invention	NOUN
easat-9393	338	28	(	(	PUNCT
easat-9393	338	29	ickii	ickii	ADJ
easat-9393	338	30	)	)	PUNCT
easat-9393	338	31	,	,	PUNCT
easat-9393	338	32	pp	pp	ADJ
easat-9393	338	33	.	.	PUNCT
easat-9393	338	34	461463	461463	NUM
easat-9393	338	35	.	.	PUNCT
easat-9393	339	1	ieee	ieee	NOUN
easat-9393	339	2	,	,	PUNCT
easat-9393	339	3	2023	2023	NUM
easat-9393	339	4	.	.	PUNCT
easat-9393	340	1	[	[	X
easat-9393	340	2	22	22	NUM
easat-9393	340	3	]	]	X
easat-9393	340	4	d.	d.	PROPN
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easat-9393	340	7	m.	m.	NOUN
easat-9393	340	8	carratu	carratu	PROPN
easat-9393	340	9	,	,	PUNCT
easat-9393	340	10	and	and	CCONJ
easat-9393	340	11	m.	m.	NOUN
easat-9393	340	12	lamberti	lamberti	PROPN
easat-9393	340	13	,	,	PUNCT
easat-9393	340	14	"	"	PUNCT
easat-9393	340	15	classification	classification	NOUN
easat-9393	340	16	of	of	ADP
easat-9393	340	17	coffee	coffee	NOUN
easat-9393	340	18	beans	bean	NOUN
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easat-9393	340	22	deep	deep	ADJ
easat-9393	340	23	learning	learning	NOUN
easat-9393	340	24	approach	approach	NOUN
easat-9393	340	25	,	,	PUNCT
easat-9393	340	26	"	"	PUNCT
easat-9393	340	27	in	in	ADP
easat-9393	340	28	18th	18th	ADJ
easat-9393	340	29	imeko	imeko	NOUN
easat-9393	340	30	tc10	tc10	PROPN
easat-9393	340	31	conference	conference	NOUN
easat-9393	340	32	“	"	PUNCT
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easat-9393	340	36	,	,	PUNCT
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easat-9393	340	38	and	and	CCONJ
easat-9393	340	39	control	control	NOUN
easat-9393	340	40	to	to	PART
easat-9393	340	41	support	support	VERB
easat-9393	340	42	sustainability	sustainability	NOUN
easat-9393	340	43	and	and	CCONJ
easat-9393	340	44	resilience	resilience	NOUN
easat-9393	340	45	”	"	PUNCT
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easat-9393	340	47	,	,	PUNCT
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easat-9393	340	49	,	,	PUNCT
easat-9393	340	50	2022	2022	NUM
easat-9393	340	51	.	.	PUNCT
easat-9393	341	1	[	[	X
easat-9393	341	2	23	23	NUM
easat-9393	341	3	]	]	X
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easat-9393	341	8	m.	m.	NOUN
easat-9393	341	9	a.	a.	NOUN
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easat-9393	341	14	coffee	coffee	NOUN
easat-9393	341	15	bean	bean	NOUN
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easat-9393	341	20	neural	neural	ADJ
easat-9393	341	21	network	network	NOUN
easat-9393	341	22	,	,	PUNCT
easat-9393	341	23	"	"	PUNCT
easat-9393	341	24	in	in	ADP
easat-9393	341	25	2024	2024	NUM
easat-9393	341	26	7th	7th	ADJ
easat-9393	341	27	international	international	ADJ
easat-9393	341	28	conference	conference	NOUN
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easat-9393	341	34	(	(	PUNCT
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easat-9393	341	37	(	(	PUNCT
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easat-9393	342	1	66	66	NUM
easat-9393	342	2	-	-	SYM
easat-9393	342	3	71	71	NUM
easat-9393	342	4	)	)	PUNCT
easat-9393	342	5	.	.	PUNCT
easat-9393	343	1	ieee	ieee	NOUN
easat-9393	343	2	,	,	PUNCT
easat-9393	343	3	2024	2024	NUM
easat-9393	343	4	.	.	PUNCT
easat-9393	344	1	[	[	X
easat-9393	344	2	24	24	NUM
easat-9393	344	3	]	]	PUNCT
easat-9393	344	4	a.	a.	NOUN
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easat-9393	344	7	t.	t.	PROPN
easat-9393	344	8	talan	talan	PROPN
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easat-9393	344	10	s.	s.	PROPN
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easat-9393	344	27	coffee	coffee	NOUN
easat-9393	344	28	bean	bean	NOUN
easat-9393	344	29	species	specie	NOUN
easat-9393	344	30	,	,	PUNCT
easat-9393	344	31	"	"	PUNCT
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easat-9393	344	34	science	science	NOUN
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easat-9393	344	39	,	,	PUNCT
easat-9393	344	40	p.	p.	NOUN
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easat-9393	344	43	2025	2025	NUM
easat-9393	344	44	.	.	PUNCT
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easat-9393	345	3	25	25	NUM
easat-9393	345	4	]	]	PUNCT
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easat-9393	345	6	bean	bean	NOUN
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easat-9393	345	8	resized	resize	VERB
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easat-9393	345	10	224	224	NUM
easat-9393	345	11	 	 	SPACE
easat-9393	345	12	×	×	NOUN
easat-9393	345	13	 	 	SPACE
easat-9393	345	14	224	224	NUM
easat-9393	345	15	)	)	PUNCT
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easat-9393	345	17	"	"	PUNCT
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easat-9393	345	20	"	"	PUNCT
easat-9393	345	21	2025	2025	NUM
easat-9393	345	22	.	.	PUNCT
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easat-9393	346	3	https://www.kaggle.com/datasets/gpiosenka/coffee-bean-dataset-resized-224-x-224	https://www.kaggle.com/datasets/gpiosenka/coffee-bean-dataset-resized-224-x-224	X
easat-9393	346	4	https://www.kaggle.com/datasets/gpiosenka/coffee-bean-dataset-resized-224-x-224	https://www.kaggle.com/datasets/gpiosenka/coffee-bean-dataset-resized-224-x-224	X