id	sid	tid	token	lemma	pos
ijassa-1393	1	1	microsoft	microsoft	PROPN
ijassa-1393	1	2	word	word	PROPN
ijassa-1393	1	3	1393_done	1393_done	NUM
ijassa-1393	1	4	adv	adv	PROPN
ijassa-1393	1	5	syst	syst	PROPN
ijassa-1393	1	6	sci	sci	PROPN
ijassa-1393	1	7	appl	appl	PROPN
ijassa-1393	1	8	2023	2023	NUM
ijassa-1393	1	9	;	;	PUNCT
ijassa-1393	1	10	03	03	NUM
ijassa-1393	1	11	;	;	PUNCT
ijassa-1393	1	12	128	128	NUM
ijassa-1393	1	13	-	-	SYM
ijassa-1393	1	14	151	151	NUM
ijassa-1393	1	15	published	publish	VERB
ijassa-1393	1	16	online	online	ADV
ijassa-1393	1	17	at	at	ADP
ijassa-1393	1	18	http://ijassa.ipu.ru	http://ijassa.ipu.ru	ADV
ijassa-1393	1	19	.	.	PUNCT
ijassa-1393	2	1	deep	deep	ADJ
ijassa-1393	2	2	feature	feature	NOUN
ijassa-1393	2	3	extraction	extraction	NOUN
ijassa-1393	2	4	and	and	CCONJ
ijassa-1393	2	5	weight	weight	NOUN
ijassa-1393	2	6	updated	update	VERB
ijassa-1393	2	7	tuned	tune	VERB
ijassa-1393	2	8	random	random	ADJ
ijassa-1393	2	9	forest	forest	NOUN
ijassa-1393	2	10	for	for	ADP
ijassa-1393	2	11	piper	piper	NOUN
ijassa-1393	2	12	plant	plant	NOUN
ijassa-1393	2	13	species	species	NOUN
ijassa-1393	2	14	recognition	recognition	NOUN
ijassa-1393	2	15	a.	a.	NOUN
ijassa-1393	2	16	pravin1	pravin1	PROPN
ijassa-1393	2	17	*	*	PROPN
ijassa-1393	2	18	,	,	PUNCT
ijassa-1393	2	19	c.	c.	PROPN
ijassa-1393	2	20	deepa2	deepa2	PROPN
ijassa-1393	2	21	1research	1research	NUM
ijassa-1393	2	22	scholar	scholar	NOUN
ijassa-1393	2	23	,	,	PUNCT
ijassa-1393	2	24	department	department	NOUN
ijassa-1393	2	25	of	of	ADP
ijassa-1393	2	26	computer	computer	NOUN
ijassa-1393	2	27	science	science	NOUN
ijassa-1393	2	28	,	,	PUNCT
ijassa-1393	2	29	sri	sri	PROPN
ijassa-1393	2	30	ramakrishna	ramakrishna	PROPN
ijassa-1393	2	31	college	college	PROPN
ijassa-1393	2	32	of	of	ADP
ijassa-1393	2	33	arts	arts	PROPN
ijassa-1393	2	34	&	&	CCONJ
ijassa-1393	2	35	science	science	PROPN
ijassa-1393	2	36	,	,	PUNCT
ijassa-1393	2	37	coimbatore	coimbatore	PROPN
ijassa-1393	2	38	,	,	PUNCT
ijassa-1393	2	39	india	india	PROPN
ijassa-1393	2	40	2associate	2associate	PROPN
ijassa-1393	2	41	professor	professor	NOUN
ijassa-1393	2	42	&	&	CCONJ
ijassa-1393	2	43	head	head	PROPN
ijassa-1393	2	44	,	,	PUNCT
ijassa-1393	2	45	department	department	NOUN
ijassa-1393	2	46	of	of	ADP
ijassa-1393	2	47	computer	computer	NOUN
ijassa-1393	2	48	science	science	NOUN
ijassa-1393	2	49	(	(	PUNCT
ijassa-1393	2	50	artificial	artificial	ADJ
ijassa-1393	2	51	intelligence	intelligence	NOUN
ijassa-1393	2	52	&	&	CCONJ
ijassa-1393	2	53	data	data	PROPN
ijassa-1393	2	54	science	science	PROPN
ijassa-1393	2	55	)	)	PUNCT
ijassa-1393	2	56	,	,	PUNCT
ijassa-1393	2	57	sri	sri	PROPN
ijassa-1393	2	58	ramakrishna	ramakrishna	PROPN
ijassa-1393	2	59	college	college	PROPN
ijassa-1393	2	60	of	of	ADP
ijassa-1393	2	61	arts	arts	PROPN
ijassa-1393	2	62	&	&	CCONJ
ijassa-1393	2	63	science	science	PROPN
ijassa-1393	2	64	,	,	PUNCT
ijassa-1393	2	65	coimbatore	coimbatore	PROPN
ijassa-1393	2	66	,	,	PUNCT
ijassa-1393	2	67	india	india	PROPN
ijassa-1393	2	68	abstract	abstract	NOUN
ijassa-1393	2	69	:	:	PUNCT
ijassa-1393	2	70	recently	recently	ADV
ijassa-1393	2	71	,	,	PUNCT
ijassa-1393	2	72	identifying	identify	VERB
ijassa-1393	2	73	plant	plant	NOUN
ijassa-1393	2	74	species	specie	NOUN
ijassa-1393	2	75	has	have	AUX
ijassa-1393	2	76	become	become	VERB
ijassa-1393	2	77	a	a	DET
ijassa-1393	2	78	significant	significant	ADJ
ijassa-1393	2	79	research	research	NOUN
ijassa-1393	2	80	area	area	NOUN
ijassa-1393	2	81	as	as	SCONJ
ijassa-1393	2	82	it	it	PRON
ijassa-1393	2	83	is	be	AUX
ijassa-1393	2	84	vital	vital	ADJ
ijassa-1393	2	85	for	for	ADP
ijassa-1393	2	86	securing	secure	VERB
ijassa-1393	2	87	biodiversity	biodiversity	NOUN
ijassa-1393	2	88	.	.	PUNCT
ijassa-1393	3	1	plants	plant	NOUN
ijassa-1393	3	2	also	also	ADV
ijassa-1393	3	3	possess	possess	VERB
ijassa-1393	3	4	various	various	ADJ
ijassa-1393	3	5	medicinal	medicinal	ADJ
ijassa-1393	3	6	applications	application	NOUN
ijassa-1393	3	7	.	.	PUNCT
ijassa-1393	4	1	hence	hence	ADV
ijassa-1393	4	2	,	,	PUNCT
ijassa-1393	4	3	predicting	predict	VERB
ijassa-1393	4	4	different	different	ADJ
ijassa-1393	4	5	species	specie	NOUN
ijassa-1393	4	6	of	of	ADP
ijassa-1393	4	7	plants	plant	NOUN
ijassa-1393	4	8	is	be	AUX
ijassa-1393	4	9	of	of	ADP
ijassa-1393	4	10	utmost	utmost	ADJ
ijassa-1393	4	11	significance	significance	NOUN
ijassa-1393	4	12	.	.	PUNCT
ijassa-1393	5	1	however	however	ADV
ijassa-1393	5	2	,	,	PUNCT
ijassa-1393	5	3	determining	determine	VERB
ijassa-1393	5	4	plant	plant	NOUN
ijassa-1393	5	5	species	specie	NOUN
ijassa-1393	5	6	through	through	ADP
ijassa-1393	5	7	conventional	conventional	ADJ
ijassa-1393	5	8	ways	way	NOUN
ijassa-1393	5	9	is	be	AUX
ijassa-1393	5	10	a	a	DET
ijassa-1393	5	11	time	time	NOUN
ijassa-1393	5	12	-	-	PUNCT
ijassa-1393	5	13	consuming	consume	VERB
ijassa-1393	5	14	process	process	NOUN
ijassa-1393	5	15	.	.	PUNCT
ijassa-1393	6	1	that	that	PRON
ijassa-1393	6	2	happens	happen	VERB
ijassa-1393	6	3	due	due	ADJ
ijassa-1393	6	4	to	to	ADP
ijassa-1393	6	5	huge	huge	ADJ
ijassa-1393	6	6	and	and	CCONJ
ijassa-1393	6	7	distinct	distinct	ADJ
ijassa-1393	6	8	botanical	botanical	ADJ
ijassa-1393	6	9	terms	term	NOUN
ijassa-1393	6	10	.	.	PUNCT
ijassa-1393	7	1	with	with	ADP
ijassa-1393	7	2	the	the	DET
ijassa-1393	7	3	recent	recent	ADJ
ijassa-1393	7	4	evolution	evolution	NOUN
ijassa-1393	7	5	of	of	ADP
ijassa-1393	7	6	ai	ai	PROPN
ijassa-1393	7	7	(	(	PUNCT
ijassa-1393	7	8	artificial	artificial	ADJ
ijassa-1393	7	9	intelligence	intelligence	NOUN
ijassa-1393	7	10	)	)	PUNCT
ijassa-1393	7	11	based	base	VERB
ijassa-1393	7	12	algorithms	algorithm	NOUN
ijassa-1393	7	13	,	,	PUNCT
ijassa-1393	7	14	researchers	researcher	NOUN
ijassa-1393	7	15	have	have	AUX
ijassa-1393	7	16	undertaken	undertake	VERB
ijassa-1393	7	17	various	various	ADJ
ijassa-1393	7	18	attempts	attempt	NOUN
ijassa-1393	7	19	to	to	PART
ijassa-1393	7	20	predict	predict	VERB
ijassa-1393	7	21	plant	plant	NOUN
ijassa-1393	7	22	species	specie	NOUN
ijassa-1393	7	23	.	.	PUNCT
ijassa-1393	8	1	however	however	ADV
ijassa-1393	8	2	,	,	PUNCT
ijassa-1393	8	3	most	most	ADJ
ijassa-1393	8	4	studies	study	NOUN
ijassa-1393	8	5	averted	avert	VERB
ijassa-1393	8	6	the	the	DET
ijassa-1393	8	7	consideration	consideration	NOUN
ijassa-1393	8	8	of	of	ADP
ijassa-1393	8	9	piper	piper	NOUN
ijassa-1393	8	10	plant	plant	NOUN
ijassa-1393	8	11	species	specie	NOUN
ijassa-1393	8	12	which	which	PRON
ijassa-1393	8	13	holds	hold	VERB
ijassa-1393	8	14	huge	huge	ADJ
ijassa-1393	8	15	medicinal	medicinal	ADJ
ijassa-1393	8	16	benefits	benefit	NOUN
ijassa-1393	8	17	.	.	PUNCT
ijassa-1393	9	1	existing	exist	VERB
ijassa-1393	9	2	research	research	NOUN
ijassa-1393	9	3	also	also	ADV
ijassa-1393	9	4	failed	fail	VERB
ijassa-1393	9	5	to	to	PART
ijassa-1393	9	6	predict	predict	VERB
ijassa-1393	9	7	the	the	DET
ijassa-1393	9	8	plant	plant	NOUN
ijassa-1393	9	9	species	specie	NOUN
ijassa-1393	9	10	due	due	ADJ
ijassa-1393	9	11	to	to	ADP
ijassa-1393	9	12	inefficient	inefficient	ADJ
ijassa-1393	9	13	feature	feature	NOUN
ijassa-1393	9	14	extraction	extraction	NOUN
ijassa-1393	9	15	accurately	accurately	ADV
ijassa-1393	9	16	.	.	PUNCT
ijassa-1393	10	1	considering	consider	VERB
ijassa-1393	10	2	such	such	DET
ijassa-1393	10	3	a	a	DET
ijassa-1393	10	4	pitfall	pitfall	NOUN
ijassa-1393	10	5	,	,	PUNCT
ijassa-1393	10	6	this	this	DET
ijassa-1393	10	7	study	study	NOUN
ijassa-1393	10	8	proposes	propose	VERB
ijassa-1393	10	9	deep	deep	ADJ
ijassa-1393	10	10	cnn	cnn	PROPN
ijassa-1393	10	11	(	(	PUNCT
ijassa-1393	10	12	deep	deep	ADJ
ijassa-1393	10	13	convolutional	convolutional	ADJ
ijassa-1393	10	14	neural	neural	ADJ
ijassa-1393	10	15	network	network	NOUN
ijassa-1393	10	16	)	)	PUNCT
ijassa-1393	10	17	and	and	CCONJ
ijassa-1393	10	18	inception	inception	PROPN
ijassa-1393	10	19	v3	v3	PROPN
ijassa-1393	10	20	to	to	PART
ijassa-1393	10	21	extract	extract	VERB
ijassa-1393	10	22	features	feature	NOUN
ijassa-1393	10	23	to	to	PART
ijassa-1393	10	24	perform	perform	VERB
ijassa-1393	10	25	all	all	DET
ijassa-1393	10	26	plant	plant	NOUN
ijassa-1393	10	27	classification	classification	NOUN
ijassa-1393	10	28	.	.	PUNCT
ijassa-1393	11	1	in	in	ADP
ijassa-1393	11	2	addition	addition	NOUN
ijassa-1393	11	3	,	,	PUNCT
ijassa-1393	11	4	the	the	DET
ijassa-1393	11	5	study	study	NOUN
ijassa-1393	11	6	proposes	propose	VERB
ijassa-1393	11	7	deep	deep	ADJ
ijassa-1393	11	8	cnn	cnn	PROPN
ijassa-1393	11	9	and	and	CCONJ
ijassa-1393	11	10	vgg16	vgg16	PROPN
ijassa-1393	11	11	(	(	PUNCT
ijassa-1393	11	12	visual	visual	ADJ
ijassa-1393	11	13	geometry	geometry	NOUN
ijassa-1393	11	14	group16	group16	NOUN
ijassa-1393	11	15	)	)	PUNCT
ijassa-1393	11	16	to	to	PART
ijassa-1393	11	17	extract	extract	VERB
ijassa-1393	11	18	suitable	suitable	ADJ
ijassa-1393	11	19	features	feature	NOUN
ijassa-1393	11	20	for	for	ADP
ijassa-1393	11	21	performing	perform	VERB
ijassa-1393	11	22	piper	piper	NOUN
ijassa-1393	11	23	plant	plant	NOUN
ijassa-1393	11	24	classification	classification	NOUN
ijassa-1393	11	25	.	.	PUNCT
ijassa-1393	12	1	following	follow	VERB
ijassa-1393	12	2	this	this	PRON
ijassa-1393	12	3	,	,	PUNCT
ijassa-1393	12	4	the	the	DET
ijassa-1393	12	5	study	study	NOUN
ijassa-1393	12	6	considers	consider	VERB
ijassa-1393	12	7	pca	pca	PROPN
ijassa-1393	12	8	(	(	PUNCT
ijassa-1393	12	9	principle	principle	NOUN
ijassa-1393	12	10	component	component	NOUN
ijassa-1393	12	11	analysis	analysis	NOUN
ijassa-1393	12	12	)	)	PUNCT
ijassa-1393	12	13	for	for	ADP
ijassa-1393	12	14	feature	feature	NOUN
ijassa-1393	12	15	fusion	fusion	NOUN
ijassa-1393	12	16	as	as	SCONJ
ijassa-1393	12	17	it	it	PRON
ijassa-1393	12	18	can	can	AUX
ijassa-1393	12	19	reduce	reduce	VERB
ijassa-1393	12	20	noise	noise	NOUN
ijassa-1393	12	21	in	in	ADP
ijassa-1393	12	22	data	datum	NOUN
ijassa-1393	12	23	and	and	CCONJ
ijassa-1393	12	24	select	select	VERB
ijassa-1393	12	25	relevant	relevant	ADJ
ijassa-1393	12	26	features	feature	NOUN
ijassa-1393	12	27	for	for	ADP
ijassa-1393	12	28	affording	afford	VERB
ijassa-1393	12	29	independent	independent	ADJ
ijassa-1393	12	30	and	and	CCONJ
ijassa-1393	12	31	uncorrelated	uncorrelated	ADJ
ijassa-1393	12	32	data	data	NOUN
ijassa-1393	12	33	features	feature	NOUN
ijassa-1393	12	34	.	.	PUNCT
ijassa-1393	13	1	finally	finally	ADV
ijassa-1393	13	2	,	,	PUNCT
ijassa-1393	13	3	the	the	DET
ijassa-1393	13	4	study	study	NOUN
ijassa-1393	13	5	proposes	propose	VERB
ijassa-1393	13	6	wut	wut	PROPN
ijassa-1393	13	7	-	-	PUNCT
ijassa-1393	13	8	rf	rf	PRON
ijassa-1393	13	9	(	(	PUNCT
ijassa-1393	13	10	weight	weight	NOUN
ijassa-1393	13	11	updated	update	VERB
ijassa-1393	13	12	tuned	tune	VERB
ijassa-1393	13	13	random	random	ADJ
ijassa-1393	13	14	forest	forest	NOUN
ijassa-1393	13	15	)	)	PUNCT
ijassa-1393	13	16	to	to	PART
ijassa-1393	13	17	classify	classify	VERB
ijassa-1393	13	18	piper	piper	NOUN
ijassa-1393	13	19	and	and	CCONJ
ijassa-1393	13	20	all	all	DET
ijassa-1393	13	21	plant	plant	NOUN
ijassa-1393	13	22	species	specie	NOUN
ijassa-1393	13	23	.	.	PUNCT
ijassa-1393	14	1	in	in	ADP
ijassa-1393	14	2	this	this	DET
ijassa-1393	14	3	process	process	NOUN
ijassa-1393	14	4	,	,	PUNCT
ijassa-1393	14	5	hyperparameters	hyperparameter	NOUN
ijassa-1393	14	6	of	of	ADP
ijassa-1393	14	7	rf	rf	PRON
ijassa-1393	14	8	are	be	AUX
ijassa-1393	14	9	tuned	tune	VERB
ijassa-1393	14	10	with	with	ADP
ijassa-1393	14	11	convolutional	convolutional	ADJ
ijassa-1393	14	12	likelihood	likelihood	NOUN
ijassa-1393	14	13	weight	weight	NOUN
ijassa-1393	14	14	to	to	PART
ijassa-1393	14	15	attain	attain	VERB
ijassa-1393	14	16	a	a	DET
ijassa-1393	14	17	high	high	ADJ
ijassa-1393	14	18	prediction	prediction	NOUN
ijassa-1393	14	19	rate	rate	NOUN
ijassa-1393	14	20	.	.	PUNCT
ijassa-1393	15	1	optimal	optimal	ADJ
ijassa-1393	15	2	hyperparameter	hyperparameter	NOUN
ijassa-1393	15	3	selection	selection	NOUN
ijassa-1393	15	4	and	and	CCONJ
ijassa-1393	15	5	tuning	tune	VERB
ijassa-1393	15	6	assist	assist	NOUN
ijassa-1393	15	7	in	in	ADP
ijassa-1393	15	8	improvising	improvise	VERB
ijassa-1393	15	9	the	the	DET
ijassa-1393	15	10	performance	performance	NOUN
ijassa-1393	15	11	of	of	ADP
ijassa-1393	15	12	the	the	DET
ijassa-1393	15	13	proposed	propose	VERB
ijassa-1393	15	14	classifier	classifier	NOUN
ijassa-1393	15	15	.	.	PUNCT
ijassa-1393	16	1	performance	performance	NOUN
ijassa-1393	16	2	analysis	analysis	NOUN
ijassa-1393	16	3	of	of	ADP
ijassa-1393	16	4	this	this	DET
ijassa-1393	16	5	system	system	NOUN
ijassa-1393	16	6	about	about	ADP
ijassa-1393	16	7	performance	performance	NOUN
ijassa-1393	16	8	metrics	metric	NOUN
ijassa-1393	16	9	exposes	expose	VERB
ijassa-1393	16	10	its	its	PRON
ijassa-1393	16	11	effectiveness	effectiveness	NOUN
ijassa-1393	16	12	in	in	ADP
ijassa-1393	16	13	plant	plant	NOUN
ijassa-1393	16	14	species	specie	NOUN
ijassa-1393	16	15	detection	detection	NOUN
ijassa-1393	16	16	.	.	PUNCT
ijassa-1393	17	1	keywords	keyword	NOUN
ijassa-1393	17	2	:	:	PUNCT
ijassa-1393	17	3	artificial	artificial	ADJ
ijassa-1393	17	4	intelligence	intelligence	NOUN
ijassa-1393	17	5	,	,	PUNCT
ijassa-1393	17	6	piper	piper	NOUN
ijassa-1393	17	7	plants	plant	NOUN
ijassa-1393	17	8	,	,	PUNCT
ijassa-1393	17	9	deep	deep	ADJ
ijassa-1393	17	10	convolutional	convolutional	ADJ
ijassa-1393	17	11	neural	neural	ADJ
ijassa-1393	17	12	network	network	NOUN
ijassa-1393	17	13	,	,	PUNCT
ijassa-1393	17	14	inception	inception	PROPN
ijassa-1393	17	15	v3	v3	PROPN
ijassa-1393	17	16	,	,	PUNCT
ijassa-1393	17	17	vgg16	vgg16	PROPN
ijassa-1393	17	18	,	,	PUNCT
ijassa-1393	17	19	random	random	ADJ
ijassa-1393	17	20	forest	forest	NOUN
ijassa-1393	17	21	1	1	NUM
ijassa-1393	17	22	.	.	PUNCT
ijassa-1393	18	1	introduction	introduction	NOUN
ijassa-1393	18	2	plants	plant	NOUN
ijassa-1393	18	3	possess	possess	VERB
ijassa-1393	18	4	several	several	ADJ
ijassa-1393	18	5	utilities	utility	NOUN
ijassa-1393	18	6	in	in	ADP
ijassa-1393	18	7	food	food	NOUN
ijassa-1393	18	8	,	,	PUNCT
ijassa-1393	18	9	industry	industry	NOUN
ijassa-1393	18	10	,	,	PUNCT
ijassa-1393	18	11	medicine	medicine	NOUN
ijassa-1393	18	12	,	,	PUNCT
ijassa-1393	18	13	etc	etc	X
ijassa-1393	18	14	.	.	X
ijassa-1393	19	1	it	it	PRON
ijassa-1393	19	2	also	also	ADV
ijassa-1393	19	3	has	have	VERB
ijassa-1393	19	4	a	a	DET
ijassa-1393	19	5	huge	huge	ADJ
ijassa-1393	19	6	contribution	contribution	NOUN
ijassa-1393	19	7	to	to	ADP
ijassa-1393	19	8	protecting	protect	VERB
ijassa-1393	19	9	the	the	DET
ijassa-1393	19	10	environment	environment	NOUN
ijassa-1393	19	11	.	.	PUNCT
ijassa-1393	20	1	there	there	PRON
ijassa-1393	20	2	exists	exist	VERB
ijassa-1393	20	3	a	a	DET
ijassa-1393	20	4	huge	huge	ADJ
ijassa-1393	20	5	plant	plant	NOUN
ijassa-1393	20	6	species	specie	NOUN
ijassa-1393	20	7	variety	variety	NOUN
ijassa-1393	20	8	,	,	PUNCT
ijassa-1393	20	9	and	and	CCONJ
ijassa-1393	20	10	this	this	DET
ijassa-1393	20	11	count	count	NOUN
ijassa-1393	20	12	is	be	AUX
ijassa-1393	20	13	increasing	increase	VERB
ijassa-1393	20	14	each	each	DET
ijassa-1393	20	15	year	year	NOUN
ijassa-1393	20	16	.	.	PUNCT
ijassa-1393	21	1	as	as	SCONJ
ijassa-1393	21	2	plants	plant	NOUN
ijassa-1393	21	3	hold	hold	VERB
ijassa-1393	21	4	distinct	distinct	ADJ
ijassa-1393	21	5	benefits	benefit	NOUN
ijassa-1393	21	6	,	,	PUNCT
ijassa-1393	21	7	identifying	identify	VERB
ijassa-1393	21	8	and	and	CCONJ
ijassa-1393	21	9	classifying	classify	VERB
ijassa-1393	21	10	them	they	PRON
ijassa-1393	21	11	is	be	AUX
ijassa-1393	21	12	paramount	paramount	ADJ
ijassa-1393	21	13	.	.	PUNCT
ijassa-1393	22	1	among	among	ADP
ijassa-1393	22	2	different	different	ADJ
ijassa-1393	22	3	plants	plant	NOUN
ijassa-1393	22	4	,	,	PUNCT
ijassa-1393	22	5	piper	piper	NOUN
ijassa-1393	22	6	plants	plant	NOUN
ijassa-1393	22	7	have	have	VERB
ijassa-1393	22	8	significant	significant	ADJ
ijassa-1393	22	9	applications	application	NOUN
ijassa-1393	22	10	in	in	ADP
ijassa-1393	22	11	medicine	medicine	NOUN
ijassa-1393	22	12	,	,	PUNCT
ijassa-1393	22	13	such	such	ADJ
ijassa-1393	22	14	as	as	ADP
ijassa-1393	22	15	asthma	asthma	NOUN
ijassa-1393	22	16	,	,	PUNCT
ijassa-1393	22	17	gonorrhoea	gonorrhoea	NOUN
ijassa-1393	22	18	,	,	PUNCT
ijassa-1393	22	19	diarrhoea	diarrhoea	NOUN
ijassa-1393	22	20	,	,	PUNCT
ijassa-1393	22	21	malaria	malaria	NOUN
ijassa-1393	22	22	,	,	PUNCT
ijassa-1393	22	23	cough	cough	NOUN
ijassa-1393	22	24	,	,	PUNCT
ijassa-1393	22	25	tumours	tumour	NOUN
ijassa-1393	22	26	,	,	PUNCT
ijassa-1393	22	27	etc	etc	X
ijassa-1393	22	28	.	.	X
ijassa-1393	23	1	(	(	PUNCT
ijassa-1393	23	2	liu	liu	PROPN
ijassa-1393	23	3	,	,	PUNCT
ijassa-1393	23	4	yang	yang	PROPN
ijassa-1393	23	5	,	,	PUNCT
ijassa-1393	23	6	huang	huang	PROPN
ijassa-1393	23	7	,	,	PUNCT
ijassa-1393	23	8	&	&	CCONJ
ijassa-1393	23	9	lin	lin	PROPN
ijassa-1393	23	10	,	,	PUNCT
ijassa-1393	23	11	2022	2022	NUM
ijassa-1393	23	12	)	)	PUNCT
ijassa-1393	23	13	.	.	PUNCT
ijassa-1393	24	1	comprehending	comprehend	VERB
ijassa-1393	24	2	different	different	ADJ
ijassa-1393	24	3	plant	plant	NOUN
ijassa-1393	24	4	species	specie	NOUN
ijassa-1393	24	5	has	have	AUX
ijassa-1393	24	6	become	become	VERB
ijassa-1393	24	7	vital	vital	ADJ
ijassa-1393	24	8	for	for	ADP
ijassa-1393	24	9	several	several	ADJ
ijassa-1393	24	10	individuals	individual	NOUN
ijassa-1393	24	11	,	,	PUNCT
ijassa-1393	24	12	like	like	ADP
ijassa-1393	24	13	farmers	farmer	NOUN
ijassa-1393	24	14	,	,	PUNCT
ijassa-1393	24	15	educators	educator	NOUN
ijassa-1393	24	16	,	,	PUNCT
ijassa-1393	24	17	environmentalists	environmentalist	NOUN
ijassa-1393	24	18	,	,	PUNCT
ijassa-1393	24	19	and	and	CCONJ
ijassa-1393	24	20	other	other	ADJ
ijassa-1393	24	21	field	field	NOUN
ijassa-1393	24	22	workers	worker	NOUN
ijassa-1393	24	23	.	.	PUNCT
ijassa-1393	25	1	to	to	PART
ijassa-1393	25	2	describe	describe	VERB
ijassa-1393	25	3	a	a	DET
ijassa-1393	25	4	plant	plant	NOUN
ijassa-1393	25	5	species	specie	NOUN
ijassa-1393	25	6	,	,	PUNCT
ijassa-1393	25	7	botanists	botanist	NOUN
ijassa-1393	25	8	need	need	VERB
ijassa-1393	25	9	to	to	PART
ijassa-1393	25	10	be	be	AUX
ijassa-1393	25	11	persuaded	persuade	VERB
ijassa-1393	25	12	that	that	SCONJ
ijassa-1393	25	13	the	the	DET
ijassa-1393	25	14	plant	plant	NOUN
ijassa-1393	25	15	varies	vary	VERB
ijassa-1393	25	16	from	from	ADP
ijassa-1393	25	17	other	other	ADJ
ijassa-1393	25	18	renowned	renowned	ADJ
ijassa-1393	25	19	species	specie	NOUN
ijassa-1393	25	20	.	.	PUNCT
ijassa-1393	26	1	accordingly	accordingly	ADV
ijassa-1393	26	2	,	,	PUNCT
ijassa-1393	26	3	new	new	ADJ
ijassa-1393	26	4	plant	plant	NOUN
ijassa-1393	26	5	species	specie	NOUN
ijassa-1393	26	6	are	be	AUX
ijassa-1393	26	7	generally	generally	ADV
ijassa-1393	26	8	determined	determine	VERB
ijassa-1393	26	9	when	when	SCONJ
ijassa-1393	26	10	a	a	DET
ijassa-1393	26	11	botanist	botanist	NOUN
ijassa-1393	26	12	expert	expert	NOUN
ijassa-1393	26	13	revises	revise	VERB
ijassa-1393	26	14	the	the	DET
ijassa-1393	26	15	nomenclature	nomenclature	NOUN
ijassa-1393	26	16	of	of	ADP
ijassa-1393	26	17	the	the	DET
ijassa-1393	26	18	entire	entire	ADJ
ijassa-1393	26	19	species	species	NOUN
ijassa-1393	26	20	group	group	NOUN
ijassa-1393	26	21	by	by	ADP
ijassa-1393	26	22	revising	revise	VERB
ijassa-1393	26	23	the	the	DET
ijassa-1393	26	24	taxonomy	taxonomy	NOUN
ijassa-1393	26	25	(	(	PUNCT
ijassa-1393	26	26	anubha	anubha	NOUN
ijassa-1393	26	27	pearline	pearline	NOUN
ijassa-1393	26	28	,	,	PUNCT
ijassa-1393	26	29	sathiesh	sathiesh	PROPN
ijassa-1393	26	30	kumar	kumar	PROPN
ijassa-1393	26	31	,	,	PUNCT
ijassa-1393	26	32	&	&	CCONJ
ijassa-1393	26	33	harini	harini	PROPN
ijassa-1393	26	34	,	,	PUNCT
ijassa-1393	26	35	2019	2019	NUM
ijassa-1393	26	36	)	)	PUNCT
ijassa-1393	26	37	.	.	PUNCT
ijassa-1393	27	1	due	due	ADP
ijassa-1393	27	2	to	to	ADP
ijassa-1393	27	3	different	different	ADJ
ijassa-1393	27	4	botanical	botanical	ADJ
ijassa-1393	27	5	terms	term	NOUN
ijassa-1393	27	6	,	,	PUNCT
ijassa-1393	27	7	such	such	DET
ijassa-1393	27	8	a	a	DET
ijassa-1393	27	9	classification	classification	NOUN
ijassa-1393	27	10	method	method	NOUN
ijassa-1393	27	11	is	be	AUX
ijassa-1393	27	12	tedious	tedious	ADJ
ijassa-1393	27	13	and	and	CCONJ
ijassa-1393	27	14	time	time	NOUN
ijassa-1393	27	15	-	-	PUNCT
ijassa-1393	27	16	consuming	consume	VERB
ijassa-1393	27	17	.	.	PUNCT
ijassa-1393	28	1	generally	generally	ADV
ijassa-1393	28	2	,	,	PUNCT
ijassa-1393	28	3	plant	plant	NOUN
ijassa-1393	28	4	species	specie	NOUN
ijassa-1393	28	5	are	be	AUX
ijassa-1393	28	6	recognized	recognize	VERB
ijassa-1393	28	7	through	through	ADP
ijassa-1393	28	8	their	their	PRON
ijassa-1393	28	9	flower	flower	NOUN
ijassa-1393	28	10	,	,	PUNCT
ijassa-1393	28	11	seed	seed	NOUN
ijassa-1393	28	12	,	,	PUNCT
ijassa-1393	28	13	fruit	fruit	NOUN
ijassa-1393	28	14	,	,	PUNCT
ijassa-1393	28	15	leaves	leave	NOUN
ijassa-1393	28	16	,	,	PUNCT
ijassa-1393	28	17	etc	etc	X
ijassa-1393	28	18	.	.	X
ijassa-1393	28	19	however	however	ADV
ijassa-1393	28	20	,	,	PUNCT
ijassa-1393	28	21	using	use	VERB
ijassa-1393	28	22	the	the	DET
ijassa-1393	28	23	leaf	leaf	NOUN
ijassa-1393	28	24	for	for	ADP
ijassa-1393	28	25	plant	plant	NOUN
ijassa-1393	28	26	species	specie	NOUN
ijassa-1393	28	27	recognition	recognition	NOUN
ijassa-1393	28	28	seems	seem	VERB
ijassa-1393	28	29	convenient	convenient	ADJ
ijassa-1393	28	30	and	and	CCONJ
ijassa-1393	28	31	simple	simple	ADJ
ijassa-1393	28	32	,	,	PUNCT
ijassa-1393	28	33	and	and	CCONJ
ijassa-1393	28	34	researchers	researcher	NOUN
ijassa-1393	28	35	have	have	AUX
ijassa-1393	28	36	attempted	attempt	VERB
ijassa-1393	28	37	to	to	PART
ijassa-1393	28	38	consider	consider	VERB
ijassa-1393	28	39	leaves	leave	NOUN
ijassa-1393	28	40	for	for	ADP
ijassa-1393	28	41	identifying	identify	VERB
ijassa-1393	28	42	*	*	PUNCT
ijassa-1393	28	43	corresponding	correspond	VERB
ijassa-1393	28	44	author	author	NOUN
ijassa-1393	28	45	:	:	PUNCT
ijassa-1393	28	46	pravinresearchscholar@gmail.com	pravinresearchscholar@gmail.com	X
ijassa-1393	29	1	deep	deep	ADJ
ijassa-1393	29	2	feature	feature	NOUN
ijassa-1393	29	3	extraction	extraction	NOUN
ijassa-1393	29	4	and	and	CCONJ
ijassa-1393	29	5	weight	weight	NOUN
ijassa-1393	29	6	updated	update	VERB
ijassa-1393	29	7	tuned	tune	VERB
ijassa-1393	29	8	random	random	ADJ
ijassa-1393	29	9	forest	forest	NOUN
ijassa-1393	29	10	…	…	PUNCT
ijassa-1393	29	11	129	129	NUM
ijassa-1393	29	12	copyright	copyright	NOUN
ijassa-1393	29	13	©	©	PROPN
ijassa-1393	29	14	2023	2023	NUM
ijassa-1393	29	15	assa	assa	NOUN
ijassa-1393	29	16	.	.	PUNCT
ijassa-1393	30	1	adv	adv	PROPN
ijassa-1393	30	2	.	.	PUNCT
ijassa-1393	31	1	in	in	ADP
ijassa-1393	31	2	systems	system	NOUN
ijassa-1393	31	3	science	science	NOUN
ijassa-1393	31	4	and	and	CCONJ
ijassa-1393	31	5	appl	appl	NOUN
ijassa-1393	31	6	.	.	PUNCT
ijassa-1393	32	1	(	(	PUNCT
ijassa-1393	32	2	2023	2023	NUM
ijassa-1393	32	3	)	)	PUNCT
ijassa-1393	32	4	plant	plant	NOUN
ijassa-1393	32	5	species	specie	NOUN
ijassa-1393	32	6	.	.	PUNCT
ijassa-1393	33	1	with	with	ADP
ijassa-1393	33	2	technological	technological	ADJ
ijassa-1393	33	3	progress	progress	NOUN
ijassa-1393	33	4	,	,	PUNCT
ijassa-1393	33	5	digital	digital	ADJ
ijassa-1393	33	6	images	image	NOUN
ijassa-1393	33	7	gained	gain	VERB
ijassa-1393	33	8	significance	significance	NOUN
ijassa-1393	33	9	in	in	ADP
ijassa-1393	33	10	various	various	ADJ
ijassa-1393	33	11	areas	area	NOUN
ijassa-1393	33	12	.	.	PUNCT
ijassa-1393	34	1	concurrently	concurrently	ADV
ijassa-1393	34	2	,	,	PUNCT
ijassa-1393	34	3	with	with	ADP
ijassa-1393	34	4	the	the	DET
ijassa-1393	34	5	progress	progress	NOUN
ijassa-1393	34	6	of	of	ADP
ijassa-1393	34	7	ai	ai	PROPN
ijassa-1393	34	8	(	(	PUNCT
ijassa-1393	34	9	artificial	artificial	ADJ
ijassa-1393	34	10	intelligence	intelligence	NOUN
ijassa-1393	34	11	)	)	PUNCT
ijassa-1393	34	12	,	,	PUNCT
ijassa-1393	34	13	researchers	researcher	NOUN
ijassa-1393	34	14	have	have	AUX
ijassa-1393	34	15	endeavored	endeavor	VERB
ijassa-1393	34	16	to	to	PART
ijassa-1393	34	17	develop	develop	VERB
ijassa-1393	34	18	an	an	DET
ijassa-1393	34	19	automated	automate	VERB
ijassa-1393	34	20	system	system	NOUN
ijassa-1393	34	21	for	for	ADP
ijassa-1393	34	22	identifying	identify	VERB
ijassa-1393	34	23	and	and	CCONJ
ijassa-1393	34	24	classifying	classify	VERB
ijassa-1393	34	25	plant	plant	NOUN
ijassa-1393	34	26	species	specie	NOUN
ijassa-1393	34	27	that	that	PRON
ijassa-1393	34	28	could	could	AUX
ijassa-1393	34	29	recognize	recognize	VERB
ijassa-1393	34	30	plants	plant	NOUN
ijassa-1393	34	31	to	to	ADP
ijassa-1393	34	32	a	a	DET
ijassa-1393	34	33	certain	certain	ADJ
ijassa-1393	34	34	extent	extent	NOUN
ijassa-1393	34	35	(	(	PUNCT
ijassa-1393	34	36	n.	n.	PROPN
ijassa-1393	34	37	s.	s.	PROPN
ijassa-1393	34	38	kumar	kumar	PROPN
ijassa-1393	34	39	,	,	PUNCT
ijassa-1393	34	40	yashwanth	yashwanth	NOUN
ijassa-1393	34	41	,	,	PUNCT
ijassa-1393	34	42	srinivasulu	srinivasulu	ADJ
ijassa-1393	34	43	,	,	PUNCT
ijassa-1393	34	44	&	&	CCONJ
ijassa-1393	34	45	rini	rini	PROPN
ijassa-1393	34	46	)	)	PUNCT
ijassa-1393	34	47	.	.	PUNCT
ijassa-1393	35	1	by	by	ADP
ijassa-1393	35	2	this	this	PRON
ijassa-1393	35	3	,	,	PUNCT
ijassa-1393	35	4	an	an	DET
ijassa-1393	35	5	automated	automate	VERB
ijassa-1393	35	6	plant	plant	NOUN
ijassa-1393	35	7	detection	detection	NOUN
ijassa-1393	35	8	system	system	NOUN
ijassa-1393	35	9	is	be	AUX
ijassa-1393	35	10	suggested	suggest	VERB
ijassa-1393	35	11	that	that	SCONJ
ijassa-1393	35	12	uses	use	VERB
ijassa-1393	35	13	ml	ml	NOUN
ijassa-1393	35	14	and	and	CCONJ
ijassa-1393	35	15	computer	computer	NOUN
ijassa-1393	35	16	vision	vision	NOUN
ijassa-1393	35	17	for	for	ADP
ijassa-1393	35	18	classifying	classify	VERB
ijassa-1393	35	19	plant	plant	NOUN
ijassa-1393	35	20	leaf	leaf	NOUN
ijassa-1393	35	21	images	image	NOUN
ijassa-1393	35	22	.	.	PUNCT
ijassa-1393	36	1	texture	texture	NOUN
ijassa-1393	36	2	and	and	CCONJ
ijassa-1393	36	3	color	color	NOUN
ijassa-1393	36	4	features	feature	NOUN
ijassa-1393	36	5	have	have	AUX
ijassa-1393	36	6	been	be	AUX
ijassa-1393	36	7	retrieved	retrieve	VERB
ijassa-1393	36	8	.	.	PUNCT
ijassa-1393	37	1	following	follow	VERB
ijassa-1393	37	2	this	this	PRON
ijassa-1393	37	3	,	,	PUNCT
ijassa-1393	37	4	the	the	DET
ijassa-1393	37	5	svm	svm	PROPN
ijassa-1393	37	6	classifier	classifier	NOUN
ijassa-1393	37	7	has	have	AUX
ijassa-1393	37	8	been	be	AUX
ijassa-1393	37	9	considered	consider	VERB
ijassa-1393	37	10	for	for	ADP
ijassa-1393	37	11	classification	classification	NOUN
ijassa-1393	37	12	.	.	PUNCT
ijassa-1393	38	1	testing	testing	NOUN
ijassa-1393	38	2	has	have	AUX
ijassa-1393	38	3	been	be	AUX
ijassa-1393	38	4	performed	perform	VERB
ijassa-1393	38	5	on	on	ADP
ijassa-1393	38	6	the	the	DET
ijassa-1393	38	7	swedish	swedish	ADJ
ijassa-1393	38	8	dataset	dataset	NOUN
ijassa-1393	38	9	,	,	PUNCT
ijassa-1393	38	10	exposing	expose	VERB
ijassa-1393	38	11	93.26	93.26	NUM
ijassa-1393	38	12	%	%	NOUN
ijassa-1393	38	13	accuracy	accuracy	NOUN
ijassa-1393	38	14	(	(	PUNCT
ijassa-1393	38	15	kaur	kaur	PROPN
ijassa-1393	38	16	&	&	CCONJ
ijassa-1393	38	17	kaur	kaur	PROPN
ijassa-1393	38	18	,	,	PUNCT
ijassa-1393	38	19	2019	2019	NUM
ijassa-1393	38	20	)	)	PUNCT
ijassa-1393	38	21	.	.	PUNCT
ijassa-1393	39	1	further	far	ADV
ijassa-1393	39	2	,	,	PUNCT
ijassa-1393	39	3	leaf	leaf	NOUN
ijassa-1393	39	4	images	image	NOUN
ijassa-1393	39	5	are	be	AUX
ijassa-1393	39	6	segmented	segment	VERB
ijassa-1393	39	7	and	and	CCONJ
ijassa-1393	39	8	classified	classify	VERB
ijassa-1393	39	9	in	in	ADP
ijassa-1393	39	10	a	a	DET
ijassa-1393	39	11	complex	complex	ADJ
ijassa-1393	39	12	background	background	NOUN
ijassa-1393	39	13	through	through	ADP
ijassa-1393	39	14	dl	dl	PROPN
ijassa-1393	39	15	based	base	VERB
ijassa-1393	39	16	method	method	NOUN
ijassa-1393	39	17	(	(	PUNCT
ijassa-1393	39	18	yang	yang	PROPN
ijassa-1393	39	19	,	,	PUNCT
ijassa-1393	39	20	zhong	zhong	PROPN
ijassa-1393	39	21	,	,	PUNCT
ijassa-1393	39	22	&	&	CCONJ
ijassa-1393	39	23	li	li	PROPN
ijassa-1393	39	24	,	,	PUNCT
ijassa-1393	39	25	2020	2020	NUM
ijassa-1393	39	26	)	)	PUNCT
ijassa-1393	39	27	.	.	PUNCT
ijassa-1393	40	1	initially	initially	ADV
ijassa-1393	40	2	,	,	PUNCT
ijassa-1393	40	3	2500	2500	NUM
ijassa-1393	40	4	images	image	NOUN
ijassa-1393	40	5	having	have	VERB
ijassa-1393	40	6	complex	complex	ADJ
ijassa-1393	40	7	backgrounds	background	NOUN
ijassa-1393	40	8	were	be	AUX
ijassa-1393	40	9	gathered	gather	VERB
ijassa-1393	40	10	.	.	PUNCT
ijassa-1393	41	1	considered	consider	VERB
ijassa-1393	41	2	images	image	NOUN
ijassa-1393	41	3	are	be	AUX
ijassa-1393	41	4	fed	feed	VERB
ijassa-1393	41	5	into	into	ADP
ijassa-1393	41	6	mask	mask	NOUN
ijassa-1393	41	7	r	r	NOUN
ijassa-1393	41	8	-	-	PUNCT
ijassa-1393	41	9	cnn	cnn	PROPN
ijassa-1393	41	10	(	(	PUNCT
ijassa-1393	41	11	mask	mask	NOUN
ijassa-1393	41	12	region	region	NOUN
ijassa-1393	41	13	-	-	PUNCT
ijassa-1393	41	14	based	base	VERB
ijassa-1393	41	15	convolutional	convolutional	ADJ
ijassa-1393	41	16	neural	neural	ADJ
ijassa-1393	41	17	network	network	NOUN
ijassa-1393	41	18	)	)	PUNCT
ijassa-1393	41	19	(	(	PUNCT
ijassa-1393	41	20	hao	hao	PROPN
ijassa-1393	41	21	et	et	PROPN
ijassa-1393	41	22	al	al	PROPN
ijassa-1393	41	23	.	.	PROPN
ijassa-1393	41	24	,	,	PUNCT
ijassa-1393	42	1	2021)for	2021)for	NUM
ijassa-1393	42	2	training	train	VERB
ijassa-1393	42	3	the	the	DET
ijassa-1393	42	4	model	model	NOUN
ijassa-1393	42	5	.	.	PUNCT
ijassa-1393	43	1	subsequently	subsequently	ADV
ijassa-1393	43	2	,	,	PUNCT
ijassa-1393	43	3	a	a	DET
ijassa-1393	43	4	training	training	NOUN
ijassa-1393	43	5	set	set	VERB
ijassa-1393	43	6	encompassing	encompass	VERB
ijassa-1393	43	7	1500	1500	NUM
ijassa-1393	43	8	images	image	NOUN
ijassa-1393	43	9	of	of	ADP
ijassa-1393	43	10	15	15	NUM
ijassa-1393	43	11	species	specie	NOUN
ijassa-1393	43	12	is	be	AUX
ijassa-1393	43	13	fed	feed	VERB
ijassa-1393	43	14	into	into	ADP
ijassa-1393	43	15	deep	deep	ADJ
ijassa-1393	43	16	cnn	cnn	PROPN
ijassa-1393	43	17	with	with	ADP
ijassa-1393	43	18	vgg16	vgg16	NOUN
ijassa-1393	43	19	to	to	PART
ijassa-1393	43	20	train	train	VERB
ijassa-1393	43	21	the	the	DET
ijassa-1393	43	22	suggested	suggest	VERB
ijassa-1393	43	23	model	model	NOUN
ijassa-1393	43	24	to	to	PART
ijassa-1393	43	25	classify	classify	VERB
ijassa-1393	43	26	the	the	DET
ijassa-1393	43	27	leaf	leaf	NOUN
ijassa-1393	43	28	.	.	PUNCT
ijassa-1393	44	1	suitable	suitable	ADJ
ijassa-1393	44	2	hyperparameters	hyperparameter	NOUN
ijassa-1393	44	3	for	for	ADP
ijassa-1393	44	4	these	these	DET
ijassa-1393	44	5	methodologies	methodology	NOUN
ijassa-1393	44	6	are	be	AUX
ijassa-1393	44	7	determined	determine	VERB
ijassa-1393	44	8	by	by	ADP
ijassa-1393	44	9	comparing	compare	VERB
ijassa-1393	44	10	several	several	ADJ
ijassa-1393	44	11	parameter	parameter	NOUN
ijassa-1393	44	12	integrations	integration	NOUN
ijassa-1393	44	13	.	.	PUNCT
ijassa-1393	45	1	outcomes	outcome	NOUN
ijassa-1393	45	2	expose	expose	VERB
ijassa-1393	45	3	that	that	SCONJ
ijassa-1393	45	4	the	the	DET
ijassa-1393	45	5	average	average	ADJ
ijassa-1393	45	6	me	i	PRON
ijassa-1393	45	7	(	(	PUNCT
ijassa-1393	45	8	misclassification	misclassification	NOUN
ijassa-1393	45	9	error	error	NOUN
ijassa-1393	45	10	)	)	PUNCT
ijassa-1393	45	11	of	of	ADP
ijassa-1393	45	12	eighty	eighty	NUM
ijassa-1393	45	13	test	test	NOUN
ijassa-1393	45	14	images	image	NOUN
ijassa-1393	45	15	is	be	AUX
ijassa-1393	45	16	1.15	1.15	NUM
ijassa-1393	45	17	%	%	NOUN
ijassa-1393	45	18	.	.	PUNCT
ijassa-1393	46	1	the	the	DET
ijassa-1393	46	2	average	average	ADJ
ijassa-1393	46	3	accuracy	accuracy	NOUN
ijassa-1393	46	4	rate	rate	NOUN
ijassa-1393	46	5	is	be	AUX
ijassa-1393	46	6	explored	explore	VERB
ijassa-1393	46	7	to	to	PART
ijassa-1393	46	8	be	be	AUX
ijassa-1393	46	9	91.5	91.5	NUM
ijassa-1393	46	10	%	%	NOUN
ijassa-1393	46	11	.	.	PUNCT
ijassa-1393	47	1	further	far	ADV
ijassa-1393	47	2	,	,	PUNCT
ijassa-1393	47	3	an	an	DET
ijassa-1393	47	4	enhanced	enhanced	ADJ
ijassa-1393	47	5	cnn	cnn	NOUN
ijassa-1393	47	6	structure	structure	NOUN
ijassa-1393	47	7	is	be	AUX
ijassa-1393	47	8	suggested	suggest	VERB
ijassa-1393	47	9	for	for	ADP
ijassa-1393	47	10	solving	solve	VERB
ijassa-1393	47	11	the	the	DET
ijassa-1393	47	12	leaf	leaf	NOUN
ijassa-1393	47	13	classification	classification	NOUN
ijassa-1393	47	14	issues	issue	NOUN
ijassa-1393	47	15	in	in	ADP
ijassa-1393	47	16	small	small	ADJ
ijassa-1393	47	17	sample	sample	NOUN
ijassa-1393	47	18	cases	case	NOUN
ijassa-1393	47	19	.	.	PUNCT
ijassa-1393	48	1	metric	metric	ADJ
ijassa-1393	48	2	space	space	NOUN
ijassa-1393	48	3	quality	quality	NOUN
ijassa-1393	48	4	and	and	CCONJ
ijassa-1393	48	5	selection	selection	NOUN
ijassa-1393	48	6	of	of	ADP
ijassa-1393	48	7	supervised	supervised	ADJ
ijassa-1393	48	8	samples	sample	NOUN
ijassa-1393	48	9	find	find	VERB
ijassa-1393	48	10	the	the	DET
ijassa-1393	48	11	classification	classification	NOUN
ijassa-1393	48	12	rate	rate	NOUN
ijassa-1393	48	13	of	of	ADP
ijassa-1393	48	14	the	the	DET
ijassa-1393	48	15	suggested	suggested	ADJ
ijassa-1393	48	16	k	k	PROPN
ijassa-1393	48	17	-	-	PUNCT
ijassa-1393	48	18	nn	nn	PROPN
ijassa-1393	48	19	(	(	PUNCT
ijassa-1393	48	20	k	k	X
ijassa-1393	48	21	-	-	PUNCT
ijassa-1393	48	22	nearest	near	ADJ
ijassa-1393	48	23	neighbour	neighbour	NOUN
ijassa-1393	48	24	)	)	PUNCT
ijassa-1393	48	25	classifier	classifier	NOUN
ijassa-1393	48	26	.	.	PUNCT
ijassa-1393	49	1	experimental	experimental	ADJ
ijassa-1393	49	2	outcomes	outcome	NOUN
ijassa-1393	49	3	reveal	reveal	VERB
ijassa-1393	49	4	that	that	SCONJ
ijassa-1393	49	5	,	,	PUNCT
ijassa-1393	49	6	while	while	SCONJ
ijassa-1393	49	7	training	training	NOUN
ijassa-1393	49	8	samples	sample	NOUN
ijassa-1393	49	9	are	be	AUX
ijassa-1393	49	10	20	20	NUM
ijassa-1393	49	11	,	,	PUNCT
ijassa-1393	49	12	accuracy	accuracy	NOUN
ijassa-1393	49	13	for	for	ADP
ijassa-1393	49	14	classification	classification	NOUN
ijassa-1393	49	15	seems	seem	VERB
ijassa-1393	49	16	to	to	PART
ijassa-1393	49	17	be	be	AUX
ijassa-1393	49	18	high	high	ADJ
ijassa-1393	49	19	(	(	PUNCT
ijassa-1393	49	20	wang	wang	PROPN
ijassa-1393	49	21	&	&	CCONJ
ijassa-1393	49	22	wang	wang	PROPN
ijassa-1393	49	23	,	,	PUNCT
ijassa-1393	49	24	2019	2019	NUM
ijassa-1393	49	25	)	)	PUNCT
ijassa-1393	49	26	.	.	PUNCT
ijassa-1393	50	1	furthermore	furthermore	ADV
ijassa-1393	50	2	,	,	PUNCT
ijassa-1393	50	3	a	a	DET
ijassa-1393	50	4	model	model	NOUN
ijassa-1393	50	5	is	be	AUX
ijassa-1393	50	6	suggested	suggest	VERB
ijassa-1393	50	7	to	to	PART
ijassa-1393	50	8	analyze	analyze	VERB
ijassa-1393	50	9	the	the	DET
ijassa-1393	50	10	leaf	leaf	NOUN
ijassa-1393	50	11	shape	shape	NOUN
ijassa-1393	50	12	that	that	PRON
ijassa-1393	50	13	relies	rely	VERB
ijassa-1393	50	14	on	on	ADP
ijassa-1393	50	15	geometrical	geometrical	ADJ
ijassa-1393	50	16	features	feature	NOUN
ijassa-1393	50	17	and	and	CCONJ
ijassa-1393	50	18	sinuosity	sinuosity	NOUN
ijassa-1393	50	19	coefficients	coefficient	NOUN
ijassa-1393	50	20	.	.	PUNCT
ijassa-1393	51	1	experimentations	experimentation	NOUN
ijassa-1393	51	2	undertaken	undertake	VERB
ijassa-1393	51	3	on	on	ADP
ijassa-1393	51	4	the	the	DET
ijassa-1393	51	5	leafsnap	leafsnap	NOUN
ijassa-1393	51	6	dataset	dataset	NOUN
ijassa-1393	51	7	expose	expose	VERB
ijassa-1393	51	8	a	a	DET
ijassa-1393	51	9	better	well	ADJ
ijassa-1393	51	10	classification	classification	NOUN
ijassa-1393	51	11	rate	rate	NOUN
ijassa-1393	51	12	.	.	PUNCT
ijassa-1393	52	1	further	far	ADV
ijassa-1393	52	2	,	,	PUNCT
ijassa-1393	52	3	the	the	DET
ijassa-1393	52	4	suggested	suggest	VERB
ijassa-1393	52	5	feature	feature	NOUN
ijassa-1393	52	6	extraction	extraction	NOUN
ijassa-1393	52	7	algorithm	algorithm	NOUN
ijassa-1393	52	8	is	be	AUX
ijassa-1393	52	9	improvised	improvise	VERB
ijassa-1393	52	10	by	by	ADP
ijassa-1393	52	11	adding	add	VERB
ijassa-1393	52	12	the	the	DET
ijassa-1393	52	13	geometrical	geometrical	ADJ
ijassa-1393	52	14	features	feature	NOUN
ijassa-1393	52	15	of	of	ADP
ijassa-1393	52	16	the	the	DET
ijassa-1393	52	17	leaf	leaf	NOUN
ijassa-1393	52	18	,	,	PUNCT
ijassa-1393	52	19	and	and	CCONJ
ijassa-1393	52	20	classification	classification	NOUN
ijassa-1393	52	21	rates	rate	NOUN
ijassa-1393	52	22	are	be	AUX
ijassa-1393	52	23	explored	explore	VERB
ijassa-1393	52	24	to	to	PART
ijassa-1393	52	25	be	be	AUX
ijassa-1393	52	26	93	93	NUM
ijassa-1393	52	27	%	%	NOUN
ijassa-1393	52	28	while	while	SCONJ
ijassa-1393	52	29	using	use	VERB
ijassa-1393	52	30	rbf	rbf	PROPN
ijassa-1393	52	31	and	and	CCONJ
ijassa-1393	52	32	82	82	NUM
ijassa-1393	52	33	%	%	NOUN
ijassa-1393	52	34	while	while	SCONJ
ijassa-1393	52	35	considering	consider	VERB
ijassa-1393	52	36	mlp	mlp	PROPN
ijassa-1393	52	37	(	(	PUNCT
ijassa-1393	52	38	ganesan	ganesan	PROPN
ijassa-1393	52	39	,	,	PUNCT
ijassa-1393	52	40	2021	2021	NUM
ijassa-1393	52	41	;	;	PUNCT
ijassa-1393	52	42	kala	kala	PROPN
ijassa-1393	52	43	&	&	CCONJ
ijassa-1393	52	44	viriri	viriri	PROPN
ijassa-1393	52	45	,	,	PUNCT
ijassa-1393	52	46	2018	2018	NUM
ijassa-1393	52	47	)	)	PUNCT
ijassa-1393	52	48	.	.	PUNCT
ijassa-1393	53	1	in	in	ADP
ijassa-1393	53	2	addition	addition	NOUN
ijassa-1393	53	3	,	,	PUNCT
ijassa-1393	53	4	several	several	ADJ
ijassa-1393	53	5	visual	visual	ADJ
ijassa-1393	53	6	attributes	attribute	NOUN
ijassa-1393	53	7	are	be	AUX
ijassa-1393	53	8	used	use	VERB
ijassa-1393	53	9	to	to	PART
ijassa-1393	53	10	classify	classify	VERB
ijassa-1393	53	11	heterogeneous	heterogeneous	ADJ
ijassa-1393	53	12	leaves	leave	NOUN
ijassa-1393	53	13	that	that	PRON
ijassa-1393	53	14	contrast	contrast	VERB
ijassa-1393	53	15	in	in	ADP
ijassa-1393	53	16	shape	shape	NOUN
ijassa-1393	53	17	,	,	PUNCT
ijassa-1393	53	18	surface	surface	NOUN
ijassa-1393	53	19	,	,	PUNCT
ijassa-1393	53	20	and	and	CCONJ
ijassa-1393	53	21	hue	hue	NOUN
ijassa-1393	53	22	.	.	PUNCT
ijassa-1393	54	1	an	an	DET
ijassa-1393	54	2	fsst	fsst	NOUN
ijassa-1393	54	3	strategy	strategy	NOUN
ijassa-1393	54	4	selects	select	VERB
ijassa-1393	54	5	the	the	DET
ijassa-1393	54	6	shape	shape	NOUN
ijassa-1393	54	7	highlights	highlight	NOUN
ijassa-1393	54	8	for	for	ADP
ijassa-1393	54	9	several	several	ADJ
ijassa-1393	54	10	leaf	leaf	NOUN
ijassa-1393	54	11	classes	class	NOUN
ijassa-1393	54	12	.	.	PUNCT
ijassa-1393	55	1	subsequently	subsequently	ADV
ijassa-1393	55	2	,	,	PUNCT
ijassa-1393	55	3	a	a	DET
ijassa-1393	55	4	progressive	progressive	ADJ
ijassa-1393	55	5	method	method	NOUN
ijassa-1393	55	6	is	be	AUX
ijassa-1393	55	7	considered	consider	VERB
ijassa-1393	55	8	that	that	PRON
ijassa-1393	55	9	encompasses	encompass	VERB
ijassa-1393	55	10	preprocessing	preprocesse	VERB
ijassa-1393	55	11	to	to	PART
ijassa-1393	55	12	normalize	normalize	VERB
ijassa-1393	55	13	the	the	DET
ijassa-1393	55	14	introduction	introduction	NOUN
ijassa-1393	55	15	and	and	CCONJ
ijassa-1393	55	16	scaling	scaling	NOUN
ijassa-1393	55	17	of	of	ADP
ijassa-1393	55	18	several	several	ADJ
ijassa-1393	55	19	leaves	leave	NOUN
ijassa-1393	55	20	,	,	PUNCT
ijassa-1393	55	21	a	a	DET
ijassa-1393	55	22	hue	hue	NOUN
ijassa-1393	55	23	evaluating	evaluating	NOUN
ijassa-1393	55	24	stage	stage	NOUN
ijassa-1393	55	25	that	that	PRON
ijassa-1393	55	26	includes	include	VERB
ijassa-1393	55	27	extracting	extract	VERB
ijassa-1393	55	28	hue	hue	ADJ
ijassa-1393	55	29	highlights	highlight	NOUN
ijassa-1393	55	30	,	,	PUNCT
ijassa-1393	55	31	shape	shape	NOUN
ijassa-1393	55	32	evaluation	evaluation	NOUN
ijassa-1393	55	33	including	include	VERB
ijassa-1393	55	34	the	the	DET
ijassa-1393	55	35	shape	shape	NOUN
ijassa-1393	55	36	-	-	PUNCT
ijassa-1393	55	37	based	base	VERB
ijassa-1393	55	38	representation	representation	NOUN
ijassa-1393	55	39	,	,	PUNCT
ijassa-1393	55	40	and	and	CCONJ
ijassa-1393	55	41	surface	surface	NOUN
ijassa-1393	55	42	venture	venture	NOUN
ijassa-1393	55	43	analysis	analysis	NOUN
ijassa-1393	55	44	for	for	ADP
ijassa-1393	55	45	exposing	expose	VERB
ijassa-1393	55	46	surface	surface	NOUN
ijassa-1393	55	47	instances	instance	NOUN
ijassa-1393	55	48	of	of	ADP
ijassa-1393	55	49	the	the	DET
ijassa-1393	55	50	leaf	leaf	NOUN
ijassa-1393	55	51	surface	surface	NOUN
ijassa-1393	55	52	.	.	PUNCT
ijassa-1393	56	1	the	the	DET
ijassa-1393	56	2	individual	individual	ADJ
ijassa-1393	56	3	layer	layer	NOUN
ijassa-1393	56	4	encompasses	encompass	VERB
ijassa-1393	56	5	modules	module	NOUN
ijassa-1393	56	6	to	to	PART
ijassa-1393	56	7	treat	treat	VERB
ijassa-1393	56	8	conventional	conventional	ADJ
ijassa-1393	56	9	practice	practice	NOUN
ijassa-1393	56	10	and	and	CCONJ
ijassa-1393	56	11	discriminators	discriminator	NOUN
ijassa-1393	56	12	to	to	PART
ijassa-1393	56	13	pick	pick	VERB
ijassa-1393	56	14	relevant	relevant	ADJ
ijassa-1393	56	15	modules	module	NOUN
ijassa-1393	56	16	for	for	ADP
ijassa-1393	56	17	subsequent	subsequent	ADJ
ijassa-1393	56	18	preparation	preparation	NOUN
ijassa-1393	56	19	.	.	PUNCT
ijassa-1393	57	1	further	far	ADV
ijassa-1393	57	2	,	,	PUNCT
ijassa-1393	57	3	nfc	nfc	NOUN
ijassa-1393	57	4	grouping	grouping	NOUN
ijassa-1393	57	5	is	be	AUX
ijassa-1393	57	6	undertaken	undertake	VERB
ijassa-1393	57	7	to	to	PART
ijassa-1393	57	8	exploit	exploit	VERB
ijassa-1393	57	9	likeliness	likeliness	NOUN
ijassa-1393	57	10	amongst	amongst	ADP
ijassa-1393	57	11	broad	broad	ADJ
ijassa-1393	57	12	leaves	leave	NOUN
ijassa-1393	57	13	for	for	ADP
ijassa-1393	57	14	shape	shape	NOUN
ijassa-1393	57	15	and	and	CCONJ
ijassa-1393	57	16	hue	hue	NOUN
ijassa-1393	57	17	layers	layer	NOUN
ijassa-1393	57	18	.	.	PUNCT
ijassa-1393	58	1	finally	finally	ADV
ijassa-1393	58	2	,	,	PUNCT
ijassa-1393	58	3	the	the	DET
ijassa-1393	58	4	euclidean	euclidean	ADJ
ijassa-1393	58	5	metric	metric	NOUN
ijassa-1393	58	6	is	be	AUX
ijassa-1393	58	7	used	use	VERB
ijassa-1393	58	8	to	to	PART
ijassa-1393	58	9	segregate	segregate	VERB
ijassa-1393	58	10	surface	surface	NOUN
ijassa-1393	58	11	components	component	NOUN
ijassa-1393	58	12	(	(	PUNCT
ijassa-1393	58	13	chaki	chaki	PROPN
ijassa-1393	58	14	,	,	PUNCT
ijassa-1393	58	15	parekh	parekh	PROPN
ijassa-1393	58	16	,	,	PUNCT
ijassa-1393	58	17	&	&	CCONJ
ijassa-1393	58	18	bhattacharya	bhattacharya	PROPN
ijassa-1393	58	19	,	,	PUNCT
ijassa-1393	58	20	2020	2020	NUM
ijassa-1393	58	21	)	)	PUNCT
ijassa-1393	58	22	.	.	PUNCT
ijassa-1393	59	1	the	the	DET
ijassa-1393	59	2	study	study	NOUN
ijassa-1393	59	3	[	[	X
ijassa-1393	59	4	11	11	NUM
ijassa-1393	59	5	]	]	PUNCT
ijassa-1393	59	6	also	also	ADV
ijassa-1393	59	7	performs	perform	VERB
ijassa-1393	59	8	piper	piper	NOUN
ijassa-1393	59	9	plant	plant	NOUN
ijassa-1393	59	10	recognition	recognition	NOUN
ijassa-1393	59	11	with	with	ADP
ijassa-1393	59	12	all	all	DET
ijassa-1393	59	13	plant	plant	NOUN
ijassa-1393	59	14	classifications	classification	NOUN
ijassa-1393	59	15	(	(	PUNCT
ijassa-1393	59	16	pravin	pravin	PROPN
ijassa-1393	59	17	&	&	CCONJ
ijassa-1393	59	18	deepa	deepa	PROPN
ijassa-1393	59	19	,	,	PUNCT
ijassa-1393	59	20	2022	2022	NUM
ijassa-1393	59	21	)	)	PUNCT
ijassa-1393	59	22	,	,	PUNCT
ijassa-1393	59	23	considering	consider	VERB
ijassa-1393	59	24	hyper	hyper	ADJ
ijassa-1393	59	25	-	-	ADJ
ijassa-1393	59	26	parameter	parameter	NOUN
ijassa-1393	59	27	-	-	PUNCT
ijassa-1393	59	28	tuned	tune	VERB
ijassa-1393	59	29	rf	rf	ADJ
ijassa-1393	59	30	(	(	PUNCT
ijassa-1393	59	31	random	random	ADJ
ijassa-1393	59	32	forest	forest	NOUN
ijassa-1393	59	33	)	)	PUNCT
ijassa-1393	59	34	.	.	PUNCT
ijassa-1393	60	1	deep	deep	ADJ
ijassa-1393	60	2	cnn	cnn	PROPN
ijassa-1393	60	3	is	be	AUX
ijassa-1393	60	4	regarded	regard	VERB
ijassa-1393	60	5	for	for	ADP
ijassa-1393	60	6	extracting	extract	VERB
ijassa-1393	60	7	features	feature	NOUN
ijassa-1393	60	8	.	.	PUNCT
ijassa-1393	61	1	empirical	empirical	ADJ
ijassa-1393	61	2	outcomes	outcome	NOUN
ijassa-1393	61	3	reveal	reveal	VERB
ijassa-1393	61	4	the	the	DET
ijassa-1393	61	5	better	well	ADJ
ijassa-1393	61	6	performance	performance	NOUN
ijassa-1393	61	7	of	of	ADP
ijassa-1393	61	8	the	the	DET
ijassa-1393	61	9	suggested	suggest	VERB
ijassa-1393	61	10	system	system	NOUN
ijassa-1393	61	11	with	with	ADP
ijassa-1393	61	12	0.94	0.94	NUM
ijassa-1393	61	13	accuracies	accuracy	NOUN
ijassa-1393	61	14	for	for	ADP
ijassa-1393	61	15	all	all	DET
ijassa-1393	61	16	the	the	DET
ijassa-1393	61	17	plant	plant	NOUN
ijassa-1393	61	18	species	specie	NOUN
ijassa-1393	61	19	,	,	PUNCT
ijassa-1393	61	20	while	while	SCONJ
ijassa-1393	61	21	0.88	0.88	NUM
ijassa-1393	61	22	accuracies	accuracy	NOUN
ijassa-1393	61	23	are	be	AUX
ijassa-1393	61	24	attained	attain	VERB
ijassa-1393	61	25	for	for	ADP
ijassa-1393	61	26	predicting	predict	VERB
ijassa-1393	61	27	piper	piper	NOUN
ijassa-1393	61	28	plant	plant	NOUN
ijassa-1393	61	29	while	while	SCONJ
ijassa-1393	61	30	compared	compare	VERB
ijassa-1393	61	31	with	with	ADP
ijassa-1393	61	32	nb	nb	INTJ
ijassa-1393	61	33	(	(	PUNCT
ijassa-1393	61	34	naïve	naïve	ADJ
ijassa-1393	61	35	bayes	bayes	PROPN
ijassa-1393	61	36	)	)	PUNCT
ijassa-1393	61	37	,	,	PUNCT
ijassa-1393	61	38	lr	lr	INTJ
ijassa-1393	61	39	(	(	PUNCT
ijassa-1393	61	40	logistic	logistic	ADJ
ijassa-1393	61	41	regression	regression	NOUN
ijassa-1393	61	42	)	)	PUNCT
ijassa-1393	61	43	and	and	CCONJ
ijassa-1393	61	44	svm	svm	PROPN
ijassa-1393	61	45	(	(	PUNCT
ijassa-1393	61	46	support	support	NOUN
ijassa-1393	61	47	vector	vector	NOUN
ijassa-1393	61	48	machine	machine	NOUN
ijassa-1393	61	49	)	)	PUNCT
ijassa-1393	61	50	.	.	PUNCT
ijassa-1393	62	1	conventional	conventional	ADJ
ijassa-1393	62	2	works	work	NOUN
ijassa-1393	62	3	have	have	AUX
ijassa-1393	62	4	used	use	VERB
ijassa-1393	62	5	different	different	ADJ
ijassa-1393	62	6	ml	ml	NOUN
ijassa-1393	62	7	and	and	CCONJ
ijassa-1393	62	8	dl	dl	NOUN
ijassa-1393	62	9	-	-	PUNCT
ijassa-1393	62	10	based	base	VERB
ijassa-1393	62	11	algorithms	algorithm	NOUN
ijassa-1393	62	12	to	to	PART
ijassa-1393	62	13	identify	identify	VERB
ijassa-1393	62	14	pipers	piper	NOUN
ijassa-1393	62	15	and	and	CCONJ
ijassa-1393	62	16	other	other	ADJ
ijassa-1393	62	17	plants	plant	NOUN
ijassa-1393	62	18	.	.	PUNCT
ijassa-1393	63	1	though	though	SCONJ
ijassa-1393	63	2	such	such	ADJ
ijassa-1393	63	3	methods	method	NOUN
ijassa-1393	63	4	have	have	AUX
ijassa-1393	63	5	tried	try	VERB
ijassa-1393	63	6	to	to	PART
ijassa-1393	63	7	attain	attain	VERB
ijassa-1393	63	8	better	well	ADJ
ijassa-1393	63	9	outcomes	outcome	NOUN
ijassa-1393	63	10	,	,	PUNCT
ijassa-1393	63	11	most	most	ADJ
ijassa-1393	63	12	studies	study	NOUN
ijassa-1393	63	13	have	have	AUX
ijassa-1393	63	14	not	not	PART
ijassa-1393	63	15	considered	consider	VERB
ijassa-1393	63	16	piper	piper	NOUN
ijassa-1393	63	17	plant	plant	NOUN
ijassa-1393	63	18	classification	classification	NOUN
ijassa-1393	63	19	.	.	PUNCT
ijassa-1393	64	1	furthermore	furthermore	ADV
ijassa-1393	64	2	,	,	PUNCT
ijassa-1393	64	3	few	few	ADJ
ijassa-1393	64	4	studies	study	NOUN
ijassa-1393	64	5	considered	consider	VERB
ijassa-1393	64	6	piper	piper	NOUN
ijassa-1393	64	7	plant	plant	NOUN
ijassa-1393	64	8	classification	classification	NOUN
ijassa-1393	64	9	but	but	CCONJ
ijassa-1393	64	10	lacked	lack	VERB
ijassa-1393	64	11	a	a	DET
ijassa-1393	64	12	prediction	prediction	NOUN
ijassa-1393	64	13	rate	rate	NOUN
ijassa-1393	64	14	due	due	ADP
ijassa-1393	64	15	to	to	ADP
ijassa-1393	64	16	ineffective	ineffective	ADJ
ijassa-1393	64	17	feature	feature	NOUN
ijassa-1393	64	18	extraction	extraction	NOUN
ijassa-1393	64	19	.	.	PUNCT
ijassa-1393	65	1	to	to	PART
ijassa-1393	65	2	avoid	avoid	VERB
ijassa-1393	65	3	such	such	ADJ
ijassa-1393	65	4	negative	negative	ADJ
ijassa-1393	65	5	impacts	impact	NOUN
ijassa-1393	65	6	on	on	ADP
ijassa-1393	65	7	accuracy	accuracy	NOUN
ijassa-1393	65	8	rate	rate	NOUN
ijassa-1393	65	9	,	,	PUNCT
ijassa-1393	65	10	this	this	DET
ijassa-1393	65	11	research	research	NOUN
ijassa-1393	65	12	aims	aim	VERB
ijassa-1393	65	13	to	to	PART
ijassa-1393	65	14	propose	propose	VERB
ijassa-1393	65	15	suitable	suitable	ADJ
ijassa-1393	65	16	dl	dl	NOUN
ijassa-1393	65	17	-	-	PUNCT
ijassa-1393	65	18	based	base	VERB
ijassa-1393	65	19	feature	feature	NOUN
ijassa-1393	65	20	extraction	extraction	NOUN
ijassa-1393	65	21	and	and	CCONJ
ijassa-1393	65	22	ml	ml	NOUN
ijassa-1393	65	23	-	-	PUNCT
ijassa-1393	65	24	based	base	VERB
ijassa-1393	65	25	classification	classification	NOUN
ijassa-1393	65	26	with	with	ADP
ijassa-1393	65	27	hyperparameter	hyperparameter	NOUN
ijassa-1393	65	28	tuning	tuning	NOUN
ijassa-1393	65	29	based	base	VERB
ijassa-1393	65	30	on	on	ADP
ijassa-1393	65	31	the	the	DET
ijassa-1393	65	32	below	below	ADJ
ijassa-1393	65	33	objectives	objective	NOUN
ijassa-1393	65	34	.	.	PUNCT
ijassa-1393	66	1	the	the	DET
ijassa-1393	66	2	main	main	ADJ
ijassa-1393	66	3	objective	objective	NOUN
ijassa-1393	66	4	of	of	ADP
ijassa-1393	66	5	this	this	DET
ijassa-1393	66	6	study	study	NOUN
ijassa-1393	66	7	is	be	AUX
ijassa-1393	66	8	,	,	PUNCT
ijassa-1393	66	9			PRON
ijassa-1393	66	10	to	to	PART
ijassa-1393	66	11	select	select	VERB
ijassa-1393	66	12	relevant	relevant	ADJ
ijassa-1393	66	13	features	feature	NOUN
ijassa-1393	66	14	using	use	VERB
ijassa-1393	66	15	the	the	DET
ijassa-1393	66	16	proposed	propose	VERB
ijassa-1393	66	17	deep	deep	ADJ
ijassa-1393	66	18	cnn	cnn	PROPN
ijassa-1393	66	19	(	(	PUNCT
ijassa-1393	66	20	deep	deep	ADJ
ijassa-1393	66	21	convolutional	convolutional	ADJ
ijassa-1393	66	22	neural	neural	ADJ
ijassa-1393	66	23	network	network	NOUN
ijassa-1393	66	24	)	)	PUNCT
ijassa-1393	66	25	and	and	CCONJ
ijassa-1393	66	26	inception	inception	PROPN
ijassa-1393	66	27	v3	v3	PROPN
ijassa-1393	66	28	for	for	ADP
ijassa-1393	66	29	all	all	DET
ijassa-1393	66	30	plant	plant	NOUN
ijassa-1393	66	31	classification	classification	NOUN
ijassa-1393	66	32	.	.	PUNCT
ijassa-1393	67	1	130	130	NUM
ijassa-1393	67	2	i.	i.	PROPN
ijassa-1393	67	3	petrov	petrov	PROPN
ijassa-1393	67	4	,	,	PUNCT
ijassa-1393	67	5	j.f	j.f	PROPN
ijassa-1393	67	6	.	.	PROPN
ijassa-1393	67	7	doe	doe	NOUN
ijassa-1393	67	8	copyright	copyright	NOUN
ijassa-1393	67	9	©	©	PROPN
ijassa-1393	67	10	2023	2023	NUM
ijassa-1393	67	11	assa	assa	PROPN
ijassa-1393	67	12	adv	adv	PROPN
ijassa-1393	67	13	.	.	PUNCT
ijassa-1393	68	1	in	in	ADP
ijassa-1393	68	2	systems	system	NOUN
ijassa-1393	68	3	science	science	NOUN
ijassa-1393	68	4	and	and	CCONJ
ijassa-1393	68	5	appl	appl	NOUN
ijassa-1393	68	6	.	.	PUNCT
ijassa-1393	69	1	(	(	PUNCT
ijassa-1393	69	2	2023	2023	NUM
ijassa-1393	69	3	)	)	PUNCT
ijassa-1393	70	1			NOUN
ijassa-1393	70	2	to	to	PART
ijassa-1393	70	3	perform	perform	VERB
ijassa-1393	70	4	feature	feature	NOUN
ijassa-1393	70	5	extraction	extraction	NOUN
ijassa-1393	70	6	through	through	ADP
ijassa-1393	70	7	the	the	DET
ijassa-1393	70	8	proposed	propose	VERB
ijassa-1393	70	9	deep	deep	ADJ
ijassa-1393	70	10	cnn	cnn	PROPN
ijassa-1393	70	11	and	and	CCONJ
ijassa-1393	70	12	vgg16	vgg16	PROPN
ijassa-1393	70	13	(	(	PUNCT
ijassa-1393	70	14	visual	visual	ADJ
ijassa-1393	70	15	geometry	geometry	NOUN
ijassa-1393	70	16	group16	group16	NOUN
ijassa-1393	70	17	)	)	PUNCT
ijassa-1393	70	18	for	for	ADP
ijassa-1393	70	19	the	the	DET
ijassa-1393	70	20	piper	piper	NOUN
ijassa-1393	70	21	plant	plant	NOUN
ijassa-1393	70	22	classification	classification	NOUN
ijassa-1393	70	23	.	.	PUNCT
ijassa-1393	71	1			X
ijassa-1393	71	2	to	to	PART
ijassa-1393	71	3	classify	classify	VERB
ijassa-1393	71	4	piper	piper	NOUN
ijassa-1393	71	5	and	and	CCONJ
ijassa-1393	71	6	all	all	DET
ijassa-1393	71	7	plant	plant	NOUN
ijassa-1393	71	8	species	specie	NOUN
ijassa-1393	71	9	through	through	ADP
ijassa-1393	71	10	the	the	DET
ijassa-1393	71	11	proposed	propose	VERB
ijassa-1393	71	12	wut	wut	PROPN
ijassa-1393	71	13	-	-	PUNCT
ijassa-1393	71	14	rf	rf	PROPN
ijassa-1393	71	15	(	(	PUNCT
ijassa-1393	71	16	weight	weight	NOUN
ijassa-1393	71	17	updated	update	VERB
ijassa-1393	71	18	tuned	tune	VERB
ijassa-1393	71	19	random	random	ADJ
ijassa-1393	71	20	forest	forest	NOUN
ijassa-1393	71	21	)	)	PUNCT
ijassa-1393	71	22	based	base	VERB
ijassa-1393	71	23	on	on	ADP
ijassa-1393	71	24	hyperparameter	hyperparameter	NOUN
ijassa-1393	71	25	tuning	tune	VERB
ijassa-1393	71	26	with	with	ADP
ijassa-1393	71	27	convolutional	convolutional	ADJ
ijassa-1393	71	28	likelihood	likelihood	NOUN
ijassa-1393	71	29	weight	weight	NOUN
ijassa-1393	71	30	for	for	ADP
ijassa-1393	71	31	attaining	attain	VERB
ijassa-1393	71	32	a	a	DET
ijassa-1393	71	33	high	high	ADJ
ijassa-1393	71	34	prediction	prediction	NOUN
ijassa-1393	71	35	rate	rate	NOUN
ijassa-1393	71	36	.	.	PUNCT
ijassa-1393	72	1			X
ijassa-1393	73	1	to	to	PART
ijassa-1393	73	2	evaluate	evaluate	VERB
ijassa-1393	73	3	the	the	DET
ijassa-1393	73	4	proposed	propose	VERB
ijassa-1393	73	5	system	system	NOUN
ijassa-1393	73	6	about	about	ADP
ijassa-1393	73	7	performance	performance	NOUN
ijassa-1393	73	8	metrics	metric	NOUN
ijassa-1393	73	9	for	for	ADP
ijassa-1393	73	10	confirming	confirm	VERB
ijassa-1393	73	11	its	its	PRON
ijassa-1393	73	12	effectiveness	effectiveness	NOUN
ijassa-1393	73	13	in	in	ADP
ijassa-1393	73	14	predicting	predict	VERB
ijassa-1393	73	15	piper	piper	NOUN
ijassa-1393	73	16	and	and	CCONJ
ijassa-1393	73	17	all	all	DET
ijassa-1393	73	18	plant	plant	NOUN
ijassa-1393	73	19	species	specie	NOUN
ijassa-1393	73	20	.	.	PUNCT
ijassa-1393	74	1	1.1	1.1	NUM
ijassa-1393	74	2	.	.	PUNCT
ijassa-1393	74	3	paper	paper	NOUN
ijassa-1393	74	4	organization	organization	NOUN
ijassa-1393	74	5	the	the	DET
ijassa-1393	74	6	paper	paper	NOUN
ijassa-1393	74	7	is	be	AUX
ijassa-1393	74	8	organized	organize	VERB
ijassa-1393	74	9	in	in	ADP
ijassa-1393	74	10	the	the	DET
ijassa-1393	74	11	following	following	ADJ
ijassa-1393	74	12	way	way	NOUN
ijassa-1393	74	13	,	,	PUNCT
ijassa-1393	74	14	with	with	ADP
ijassa-1393	74	15	section	section	NOUN
ijassa-1393	74	16	ii	ii	PROPN
ijassa-1393	74	17	discussing	discuss	VERB
ijassa-1393	74	18	the	the	DET
ijassa-1393	74	19	conventional	conventional	ADJ
ijassa-1393	74	20	works	work	NOUN
ijassa-1393	74	21	for	for	ADP
ijassa-1393	74	22	plant	plant	NOUN
ijassa-1393	74	23	species	specie	NOUN
ijassa-1393	74	24	recognition	recognition	NOUN
ijassa-1393	74	25	.	.	PUNCT
ijassa-1393	75	1	section	section	NOUN
ijassa-1393	75	2	iii	iii	PROPN
ijassa-1393	75	3	discusses	discuss	VERB
ijassa-1393	75	4	the	the	DET
ijassa-1393	75	5	overall	overall	ADJ
ijassa-1393	75	6	proposed	propose	VERB
ijassa-1393	75	7	system	system	NOUN
ijassa-1393	75	8	with	with	ADP
ijassa-1393	75	9	the	the	DET
ijassa-1393	75	10	proper	proper	ADJ
ijassa-1393	75	11	flow	flow	NOUN
ijassa-1393	75	12	,	,	PUNCT
ijassa-1393	75	13	algorithm	algorithm	NOUN
ijassa-1393	75	14	,	,	PUNCT
ijassa-1393	75	15	and	and	CCONJ
ijassa-1393	75	16	description	description	NOUN
ijassa-1393	75	17	,	,	PUNCT
ijassa-1393	75	18	section	section	NOUN
ijassa-1393	75	19	iv	iv	NUM
ijassa-1393	75	20	states	state	VERB
ijassa-1393	75	21	the	the	DET
ijassa-1393	75	22	results	result	NOUN
ijassa-1393	75	23	of	of	ADP
ijassa-1393	75	24	the	the	DET
ijassa-1393	75	25	proposed	propose	VERB
ijassa-1393	75	26	system	system	NOUN
ijassa-1393	75	27	with	with	ADP
ijassa-1393	75	28	dataset	dataset	NOUN
ijassa-1393	75	29	and	and	CCONJ
ijassa-1393	75	30	performance	performance	NOUN
ijassa-1393	75	31	metrics	metric	NOUN
ijassa-1393	75	32	description	description	NOUN
ijassa-1393	75	33	,	,	PUNCT
ijassa-1393	75	34	and	and	CCONJ
ijassa-1393	75	35	section	section	NOUN
ijassa-1393	75	36	v	v	NUM
ijassa-1393	75	37	summarizes	summarize	NOUN
ijassa-1393	75	38	the	the	DET
ijassa-1393	75	39	overall	overall	ADJ
ijassa-1393	75	40	study	study	NOUN
ijassa-1393	75	41	with	with	ADP
ijassa-1393	75	42	future	future	ADJ
ijassa-1393	75	43	directions	direction	NOUN
ijassa-1393	75	44	.	.	PUNCT
ijassa-1393	76	1	2	2	X
ijassa-1393	76	2	.	.	X
ijassa-1393	76	3	review	review	NOUN
ijassa-1393	76	4	of	of	ADP
ijassa-1393	76	5	existing	exist	VERB
ijassa-1393	76	6	work	work	NOUN
ijassa-1393	76	7	existing	exist	VERB
ijassa-1393	76	8	researchers	researcher	NOUN
ijassa-1393	76	9	have	have	AUX
ijassa-1393	76	10	attempted	attempt	VERB
ijassa-1393	76	11	to	to	PART
ijassa-1393	76	12	use	use	VERB
ijassa-1393	76	13	different	different	ADJ
ijassa-1393	76	14	approaches	approach	NOUN
ijassa-1393	76	15	for	for	ADP
ijassa-1393	76	16	determining	determine	VERB
ijassa-1393	76	17	plant	plant	NOUN
ijassa-1393	76	18	species	specie	NOUN
ijassa-1393	76	19	.	.	PUNCT
ijassa-1393	77	1	these	these	DET
ijassa-1393	77	2	methods	method	NOUN
ijassa-1393	77	3	are	be	AUX
ijassa-1393	77	4	discussed	discuss	VERB
ijassa-1393	77	5	in	in	ADP
ijassa-1393	77	6	this	this	DET
ijassa-1393	77	7	section	section	NOUN
ijassa-1393	77	8	with	with	ADP
ijassa-1393	77	9	relevant	relevant	ADJ
ijassa-1393	77	10	problems	problem	NOUN
ijassa-1393	77	11	.	.	PUNCT
ijassa-1393	78	1	the	the	DET
ijassa-1393	78	2	current	current	ADJ
ijassa-1393	78	3	study	study	NOUN
ijassa-1393	78	4	has	have	AUX
ijassa-1393	78	5	addressed	address	VERB
ijassa-1393	78	6	the	the	DET
ijassa-1393	78	7	solution	solution	NOUN
ijassa-1393	78	8	for	for	ADP
ijassa-1393	78	9	better	well	ADJ
ijassa-1393	78	10	identification	identification	NOUN
ijassa-1393	78	11	of	of	ADP
ijassa-1393	78	12	a	a	DET
ijassa-1393	78	13	medical	medical	ADJ
ijassa-1393	78	14	herb	herb	NOUN
ijassa-1393	78	15	(	(	PUNCT
ijassa-1393	78	16	piper	piper	NOUN
ijassa-1393	78	17	vines	vine	NOUN
ijassa-1393	78	18	)	)	PUNCT
ijassa-1393	78	19	through	through	ADP
ijassa-1393	78	20	the	the	DET
ijassa-1393	78	21	dbn	dbn	PROPN
ijassa-1393	78	22	(	(	PUNCT
ijassa-1393	78	23	deep	deep	ADJ
ijassa-1393	78	24	belief	belief	NOUN
ijassa-1393	78	25	network	network	NOUN
ijassa-1393	78	26	)	)	PUNCT
ijassa-1393	78	27	network	network	NOUN
ijassa-1393	78	28	.	.	PUNCT
ijassa-1393	79	1	the	the	DET
ijassa-1393	79	2	suggested	suggest	VERB
ijassa-1393	79	3	system	system	NOUN
ijassa-1393	79	4	has	have	AUX
ijassa-1393	79	5	been	be	AUX
ijassa-1393	79	6	implemented	implement	VERB
ijassa-1393	79	7	on	on	ADP
ijassa-1393	79	8	the	the	DET
ijassa-1393	79	9	worldwide	worldwide	ADJ
ijassa-1393	79	10	availability	availability	NOUN
ijassa-1393	79	11	of	of	ADP
ijassa-1393	79	12	the	the	DET
ijassa-1393	79	13	kerala	kerala	NOUN
ijassa-1393	79	14	-	-	PUNCT
ijassa-1393	79	15	plants	plant	NOUN
ijassa-1393	79	16	dataset	dataset	NOUN
ijassa-1393	79	17	,	,	PUNCT
ijassa-1393	79	18	and	and	CCONJ
ijassa-1393	79	19	various	various	ADJ
ijassa-1393	79	20	piper	piper	NOUN
ijassa-1393	79	21	vine	vine	NOUN
ijassa-1393	79	22	images	image	NOUN
ijassa-1393	79	23	have	have	AUX
ijassa-1393	79	24	also	also	ADV
ijassa-1393	79	25	been	be	AUX
ijassa-1393	79	26	collected	collect	VERB
ijassa-1393	79	27	(	(	PUNCT
ijassa-1393	79	28	pravin	pravin	PROPN
ijassa-1393	79	29	&	&	CCONJ
ijassa-1393	79	30	deepa	deepa	PROPN
ijassa-1393	79	31	,	,	PUNCT
ijassa-1393	79	32	2021	2021	NUM
ijassa-1393	79	33	)	)	PUNCT
ijassa-1393	79	34	.	.	PUNCT
ijassa-1393	80	1	the	the	DET
ijassa-1393	80	2	performance	performance	NOUN
ijassa-1393	80	3	of	of	ADP
ijassa-1393	80	4	dl	dl	PROPN
ijassa-1393	80	5	has	have	AUX
ijassa-1393	80	6	exposed	expose	VERB
ijassa-1393	80	7	optimizing	optimize	VERB
ijassa-1393	80	8	outcomes	outcome	NOUN
ijassa-1393	80	9	in	in	ADP
ijassa-1393	80	10	the	the	DET
ijassa-1393	80	11	computerized	computerized	ADJ
ijassa-1393	80	12	vision	vision	NOUN
ijassa-1393	80	13	in	in	ADP
ijassa-1393	80	14	the	the	DET
ijassa-1393	80	15	current	current	ADJ
ijassa-1393	80	16	years	year	NOUN
ijassa-1393	80	17	.	.	PUNCT
ijassa-1393	81	1	thus	thus	ADV
ijassa-1393	81	2	,	,	PUNCT
ijassa-1393	81	3	the	the	DET
ijassa-1393	81	4	endorsed	endorse	VERB
ijassa-1393	81	5	work	work	NOUN
ijassa-1393	81	6	has	have	AUX
ijassa-1393	81	7	presented	present	VERB
ijassa-1393	81	8	a	a	DET
ijassa-1393	81	9	dl	dl	PROPN
ijassa-1393	81	10	technique	technique	NOUN
ijassa-1393	81	11	for	for	ADP
ijassa-1393	81	12	classifying	classify	VERB
ijassa-1393	81	13	and	and	CCONJ
ijassa-1393	81	14	identifying	identify	VERB
ijassa-1393	81	15	microscopic	microscopic	ADJ
ijassa-1393	81	16	fragment	fragment	ADJ
ijassa-1393	81	17	pictures	picture	NOUN
ijassa-1393	81	18	of	of	ADP
ijassa-1393	81	19	the	the	DET
ijassa-1393	81	20	medical	medical	ADJ
ijassa-1393	81	21	herb'simplicia	herb'simplicia	PROPN
ijassa-1393	81	22	grass	grass	NOUN
ijassa-1393	81	23	’	'	PUNCT
ijassa-1393	81	24	through	through	ADP
ijassa-1393	81	25	cnn	cnn	PROPN
ijassa-1393	81	26	(	(	PUNCT
ijassa-1393	81	27	convolutional	convolutional	ADJ
ijassa-1393	81	28	neutral	neutral	ADJ
ijassa-1393	81	29	network	network	NOUN
ijassa-1393	81	30	)	)	PUNCT
ijassa-1393	81	31	,	,	PUNCT
ijassa-1393	81	32	improved	improve	VERB
ijassa-1393	81	33	by	by	ADP
ijassa-1393	81	34	the	the	DET
ijassa-1393	81	35	sift	sift	ADJ
ijassa-1393	81	36	feature	feature	NOUN
ijassa-1393	81	37	removal	removal	NOUN
ijassa-1393	81	38	,	,	PUNCT
ijassa-1393	81	39	denoted	denote	VERB
ijassa-1393	81	40	as	as	ADP
ijassa-1393	81	41	‘	'	PUNCT
ijassa-1393	81	42	mikrobatx	mikrobatx	NOUN
ijassa-1393	81	43	,	,	PUNCT
ijassa-1393	81	44	'	'	PUNCT
ijassa-1393	81	45	that	that	PRON
ijassa-1393	81	46	plays	play	VERB
ijassa-1393	81	47	an	an	DET
ijassa-1393	81	48	important	important	ADJ
ijassa-1393	81	49	role	role	NOUN
ijassa-1393	81	50	in	in	ADP
ijassa-1393	81	51	a	a	DET
ijassa-1393	81	52	microscopic	microscopic	ADJ
ijassa-1393	81	53	categorization	categorization	NOUN
ijassa-1393	81	54	of	of	ADP
ijassa-1393	81	55	medical	medical	ADJ
ijassa-1393	81	56	herb	herb	NOUN
ijassa-1393	81	57	'	'	PUNCT
ijassa-1393	81	58	simplicia	simplicia	PROPN
ijassa-1393	81	59	grass	grass	NOUN
ijassa-1393	81	60	.	.	PUNCT
ijassa-1393	81	61	'	'	PUNCT
ijassa-1393	82	1	crucial	crucial	ADJ
ijassa-1393	82	2	simplicia	simplicia	NOUN
ijassa-1393	82	3	grass	grass	NOUN
ijassa-1393	82	4	features	feature	NOUN
ijassa-1393	82	5	could	could	AUX
ijassa-1393	82	6	be	be	AUX
ijassa-1393	82	7	extracted	extract	VERB
ijassa-1393	82	8	by	by	ADP
ijassa-1393	82	9	the	the	DET
ijassa-1393	82	10	mikrobatx	mikrobatx	NOUN
ijassa-1393	82	11	using	use	VERB
ijassa-1393	82	12	microscopic	microscopic	ADJ
ijassa-1393	82	13	pictures	picture	NOUN
ijassa-1393	82	14	of	of	ADP
ijassa-1393	82	15	medical	medical	ADJ
ijassa-1393	82	16	herb	herb	NOUN
ijassa-1393	82	17	leaves	leave	NOUN
ijassa-1393	82	18	.	.	PUNCT
ijassa-1393	83	1	using	use	VERB
ijassa-1393	83	2	the	the	DET
ijassa-1393	83	3	mikrobatx	mikrobatx	NOUN
ijassa-1393	83	4	dataset	dataset	NOUN
ijassa-1393	83	5	,	,	PUNCT
ijassa-1393	83	6	the	the	DET
ijassa-1393	83	7	results	result	NOUN
ijassa-1393	83	8	of	of	ADP
ijassa-1393	83	9	experiments	experiment	NOUN
ijassa-1393	83	10	have	have	AUX
ijassa-1393	83	11	shown	show	VERB
ijassa-1393	83	12	that	that	SCONJ
ijassa-1393	83	13	the	the	DET
ijassa-1393	83	14	recommended	recommend	VERB
ijassa-1393	83	15	model	model	NOUN
ijassa-1393	83	16	can	can	AUX
ijassa-1393	83	17	produce	produce	VERB
ijassa-1393	83	18	satisfactory	satisfactory	ADJ
ijassa-1393	83	19	accuracy	accuracy	NOUN
ijassa-1393	83	20	of	of	ADP
ijassa-1393	83	21	89.42	89.42	NUM
ijassa-1393	83	22	%	%	NOUN
ijassa-1393	83	23	value	value	NOUN
ijassa-1393	83	24	for	for	ADP
ijassa-1393	83	25	the	the	DET
ijassa-1393	83	26	microscopic	microscopic	ADJ
ijassa-1393	83	27	medical	medical	ADJ
ijassa-1393	83	28	grass	grass	NOUN
ijassa-1393	83	29	simplicia	simplicia	NOUN
ijassa-1393	83	30	image	image	NOUN
ijassa-1393	83	31	issues	issue	NOUN
ijassa-1393	83	32	(	(	PUNCT
ijassa-1393	83	33	rahmatulloh	rahmatulloh	PROPN
ijassa-1393	83	34	&	&	CCONJ
ijassa-1393	83	35	suhendy	suhendy	PROPN
ijassa-1393	83	36	,	,	PUNCT
ijassa-1393	83	37	2022	2022	NUM
ijassa-1393	83	38	)	)	PUNCT
ijassa-1393	83	39	.	.	PUNCT
ijassa-1393	84	1	the	the	DET
ijassa-1393	84	2	cnn	cnn	PROPN
ijassa-1393	84	3	performance	performance	NOUN
ijassa-1393	84	4	and	and	CCONJ
ijassa-1393	84	5	pre	pre	ADJ
ijassa-1393	84	6	-	-	ADJ
ijassa-1393	84	7	trained	train	VERB
ijassa-1393	84	8	models	model	NOUN
ijassa-1393	84	9	(	(	PUNCT
ijassa-1393	84	10	vgg19	vgg19	NOUN
ijassa-1393	84	11	and	and	CCONJ
ijassa-1393	84	12	vgg16	vgg16	PROPN
ijassa-1393	84	13	)	)	PUNCT
ijassa-1393	84	14	have	have	AUX
ijassa-1393	84	15	been	be	AUX
ijassa-1393	84	16	compared	compare	VERB
ijassa-1393	84	17	for	for	ADP
ijassa-1393	84	18	the	the	DET
ijassa-1393	84	19	problem	problem	NOUN
ijassa-1393	84	20	of	of	ADP
ijassa-1393	84	21	leaf	leaf	NOUN
ijassa-1393	84	22	identification	identification	NOUN
ijassa-1393	84	23	.	.	PUNCT
ijassa-1393	85	1	the	the	DET
ijassa-1393	85	2	dataset	dataset	NOUN
ijassa-1393	85	3	considered	consider	VERB
ijassa-1393	85	4	in	in	ADP
ijassa-1393	85	5	the	the	DET
ijassa-1393	85	6	research	research	NOUN
ijassa-1393	85	7	works	work	NOUN
ijassa-1393	85	8	contains	contain	VERB
ijassa-1393	85	9	kerala	kerala	PROPN
ijassa-1393	85	10	's	's	PART
ijassa-1393	85	11	indigenous	indigenous	ADJ
ijassa-1393	85	12	medical	medical	ADJ
ijassa-1393	85	13	herbs	herb	NOUN
ijassa-1393	85	14	.	.	PUNCT
ijassa-1393	86	1	cnn	cnn	PROPN
ijassa-1393	86	2	has	have	AUX
ijassa-1393	86	3	obtained	obtain	VERB
ijassa-1393	86	4	a	a	DET
ijassa-1393	86	5	classification	classification	NOUN
ijassa-1393	86	6	rate	rate	NOUN
ijassa-1393	86	7	of	of	ADP
ijassa-1393	86	8	95.79	95.79	NUM
ijassa-1393	86	9	%	%	NOUN
ijassa-1393	86	10	.	.	PUNCT
ijassa-1393	87	1	vgg19	vgg19	VERB
ijassa-1393	87	2	and	and	CCONJ
ijassa-1393	87	3	vgg16	vgg16	PROPN
ijassa-1393	87	4	have	have	AUX
ijassa-1393	87	5	procured	procure	VERB
ijassa-1393	87	6	97.6	97.6	NUM
ijassa-1393	87	7	%	%	NOUN
ijassa-1393	87	8	and	and	CCONJ
ijassa-1393	87	9	97.8	97.8	NUM
ijassa-1393	87	10	%	%	NOUN
ijassa-1393	87	11	accuracy	accuracy	NOUN
ijassa-1393	87	12	,	,	PUNCT
ijassa-1393	87	13	respectively	respectively	ADV
ijassa-1393	87	14	,	,	PUNCT
ijassa-1393	87	15	which	which	PRON
ijassa-1393	87	16	has	have	AUX
ijassa-1393	87	17	been	be	AUX
ijassa-1393	87	18	better	well	ADJ
ijassa-1393	87	19	than	than	ADP
ijassa-1393	87	20	conventional	conventional	ADJ
ijassa-1393	87	21	cnn	cnn	PROPN
ijassa-1393	87	22	(	(	PUNCT
ijassa-1393	87	23	paulson	paulson	PROPN
ijassa-1393	87	24	&	&	CCONJ
ijassa-1393	87	25	ravishankar	ravishankar	PROPN
ijassa-1393	87	26	,	,	PUNCT
ijassa-1393	87	27	2020	2020	NUM
ijassa-1393	87	28	)	)	PUNCT
ijassa-1393	87	29	.	.	PUNCT
ijassa-1393	88	1	furthermore	furthermore	ADV
ijassa-1393	88	2	,	,	PUNCT
ijassa-1393	88	3	with	with	ADP
ijassa-1393	88	4	the	the	DET
ijassa-1393	88	5	transfer	transfer	NOUN
ijassa-1393	88	6	learning	learn	VERB
ijassa-1393	88	7	concept	concept	NOUN
ijassa-1393	88	8	,	,	PUNCT
ijassa-1393	88	9	ten	ten	NUM
ijassa-1393	88	10	pre	pre	ADJ
ijassa-1393	88	11	-	-	ADJ
ijassa-1393	88	12	trained	train	VERB
ijassa-1393	88	13	networks	network	NOUN
ijassa-1393	88	14	containing	contain	VERB
ijassa-1393	88	15	googlenet	googlenet	NOUN
ijassa-1393	88	16	,	,	PUNCT
ijassa-1393	88	17	alexnet	alexnet	NOUN
ijassa-1393	88	18	,	,	PUNCT
ijassa-1393	88	19	densenet201	densenet201	PROPN
ijassa-1393	88	20	,	,	PUNCT
ijassa-1393	88	21	mobilenetv2	mobilenetv2	PROPN
ijassa-1393	88	22	,	,	PUNCT
ijassa-1393	88	23	inceptionv3	inceptionv3	PROPN
ijassa-1393	88	24	,	,	PUNCT
ijassa-1393	88	25	resnet101	resnet101	PROPN
ijassa-1393	88	26	,	,	PUNCT
ijassa-1393	88	27	resnet50	resnet50	NOUN
ijassa-1393	88	28	,	,	PUNCT
ijassa-1393	88	29	resnet18	resnet18	NOUN
ijassa-1393	88	30	,	,	PUNCT
ijassa-1393	88	31	vgg19	vgg19	PROPN
ijassa-1393	88	32	,	,	PUNCT
ijassa-1393	88	33	and	and	CCONJ
ijassa-1393	88	34	vgg16	vgg16	NOUN
ijassa-1393	88	35	have	have	AUX
ijassa-1393	88	36	been	be	AUX
ijassa-1393	88	37	utilized	utilize	VERB
ijassa-1393	88	38	as	as	ADP
ijassa-1393	88	39	a	a	DET
ijassa-1393	88	40	feature	feature	NOUN
ijassa-1393	88	41	extractor	extractor	NOUN
ijassa-1393	88	42	.	.	PUNCT
ijassa-1393	89	1	the	the	DET
ijassa-1393	89	2	fp	fp	PROPN
ijassa-1393	89	3	(	(	PUNCT
ijassa-1393	89	4	false	false	ADJ
ijassa-1393	89	5	positive	positive	ADJ
ijassa-1393	89	6	)	)	PUNCT
ijassa-1393	89	7	rate	rate	NOUN
ijassa-1393	89	8	of	of	ADP
ijassa-1393	89	9	0.1	0.1	NUM
ijassa-1393	89	10	%	%	NOUN
ijassa-1393	89	11	is	be	AUX
ijassa-1393	89	12	less	less	ADJ
ijassa-1393	89	13	than	than	SCONJ
ijassa-1393	89	14	attained	attain	VERB
ijassa-1393	89	15	in	in	ADP
ijassa-1393	89	16	all	all	DET
ijassa-1393	89	17	the	the	DET
ijassa-1393	89	18	cases(oppong	cases(oppong	PROPN
ijassa-1393	89	19	,	,	PUNCT
ijassa-1393	89	20	twum	twum	NOUN
ijassa-1393	89	21	,	,	PUNCT
ijassa-1393	89	22	hayfron	hayfron	NOUN
ijassa-1393	89	23	-	-	PUNCT
ijassa-1393	89	24	acquah	acquah	NOUN
ijassa-1393	89	25	,	,	PUNCT
ijassa-1393	89	26	&	&	CCONJ
ijassa-1393	89	27	missah	missah	NOUN
ijassa-1393	89	28	,	,	PUNCT
ijassa-1393	89	29	2022	2022	NUM
ijassa-1393	89	30	)	)	PUNCT
ijassa-1393	89	31	.	.	PUNCT
ijassa-1393	90	1	conventional	conventional	ADJ
ijassa-1393	90	2	research	research	NOUN
ijassa-1393	90	3	has	have	AUX
ijassa-1393	90	4	also	also	ADV
ijassa-1393	90	5	exposed	expose	VERB
ijassa-1393	90	6	new	new	ADJ
ijassa-1393	90	7	cases	case	NOUN
ijassa-1393	90	8	of	of	ADP
ijassa-1393	90	9	medical	medical	ADJ
ijassa-1393	90	10	herb	herb	NOUN
ijassa-1393	90	11	dataset	dataset	PROPN
ijassa-1393	90	12	termed	term	VERB
ijassa-1393	90	13	deepherb	deepherb	NOUN
ijassa-1393	90	14	dataset	dataset	NOUN
ijassa-1393	90	15	containing	contain	VERB
ijassa-1393	90	16	2515	2515	NUM
ijassa-1393	90	17	leaf	leaf	NOUN
ijassa-1393	90	18	pictures	picture	NOUN
ijassa-1393	90	19	from	from	ADP
ijassa-1393	90	20	40	40	NUM
ijassa-1393	90	21	species	specie	NOUN
ijassa-1393	90	22	of	of	ADP
ijassa-1393	90	23	indian	indian	ADJ
ijassa-1393	90	24	plants	plant	NOUN
ijassa-1393	90	25	.	.	PUNCT
ijassa-1393	91	1	the	the	DET
ijassa-1393	91	2	efficiency	efficiency	NOUN
ijassa-1393	91	3	of	of	ADP
ijassa-1393	91	4	a	a	DET
ijassa-1393	91	5	dataset	dataset	NOUN
ijassa-1393	91	6	has	have	AUX
ijassa-1393	91	7	been	be	AUX
ijassa-1393	91	8	exposed	expose	VERB
ijassa-1393	91	9	by	by	ADP
ijassa-1393	91	10	comparing	compare	VERB
ijassa-1393	91	11	it	it	PRON
ijassa-1393	91	12	with	with	ADP
ijassa-1393	91	13	pre	pre	ADJ
ijassa-1393	91	14	-	-	ADJ
ijassa-1393	91	15	trained	train	VERB
ijassa-1393	91	16	deep	deep	ADJ
ijassa-1393	91	17	cnn	cnn	PROPN
ijassa-1393	91	18	structures	structure	NOUN
ijassa-1393	91	19	such	such	ADJ
ijassa-1393	91	20	as	as	ADP
ijassa-1393	91	21	vgg19	vgg19	PROPN
ijassa-1393	91	22	,	,	PUNCT
ijassa-1393	91	23	vgg16	vgg16	PROPN
ijassa-1393	91	24	,	,	PUNCT
ijassa-1393	91	25	xception	xception	NOUN
ijassa-1393	91	26	,	,	PUNCT
ijassa-1393	91	27	and	and	CCONJ
ijassa-1393	91	28	inceptivev3	inceptivev3	X
ijassa-1393	91	29	.	.	PUNCT
ijassa-1393	92	1	the	the	DET
ijassa-1393	92	2	work	work	NOUN
ijassa-1393	92	3	has	have	AUX
ijassa-1393	92	4	been	be	AUX
ijassa-1393	92	5	focused	focus	VERB
ijassa-1393	92	6	on	on	ADP
ijassa-1393	92	7	accepting	accept	VERB
ijassa-1393	92	8	the	the	DET
ijassa-1393	92	9	transfer	transfer	NOUN
ijassa-1393	92	10	learning	learning	NOUN
ijassa-1393	92	11	method	method	NOUN
ijassa-1393	92	12	on	on	ADP
ijassa-1393	92	13	the	the	DET
ijassa-1393	92	14	suggested	suggested	ADJ
ijassa-1393	92	15	pre	pre	ADJ
ijassa-1393	92	16	-	-	ADJ
ijassa-1393	92	17	trained	train	VERB
ijassa-1393	92	18	model	model	NOUN
ijassa-1393	92	19	to	to	PART
ijassa-1393	92	20	undertake	undertake	VERB
ijassa-1393	92	21	feature	feature	NOUN
ijassa-1393	92	22	extraction	extraction	NOUN
ijassa-1393	92	23	,	,	PUNCT
ijassa-1393	92	24	and	and	CCONJ
ijassa-1393	92	25	classification	classification	NOUN
ijassa-1393	92	26	has	have	AUX
ijassa-1393	92	27	been	be	AUX
ijassa-1393	92	28	performed	perform	VERB
ijassa-1393	92	29	using	use	VERB
ijassa-1393	92	30	ann	ann	PROPN
ijassa-1393	92	31	(	(	PUNCT
ijassa-1393	92	32	artificial	artificial	ADJ
ijassa-1393	92	33	neutral	neutral	ADJ
ijassa-1393	92	34	network	network	NOUN
ijassa-1393	92	35	)	)	PUNCT
ijassa-1393	92	36	and	and	CCONJ
ijassa-1393	92	37	svm	svm	PROPN
ijassa-1393	92	38	(	(	PUNCT
ijassa-1393	92	39	support	support	NOUN
ijassa-1393	92	40	vector	vector	NOUN
ijassa-1393	92	41	machine	machine	NOUN
ijassa-1393	92	42	)	)	PUNCT
ijassa-1393	92	43	.	.	PUNCT
ijassa-1393	93	1	the	the	DET
ijassa-1393	93	2	hyperparameters	hyperparameter	NOUN
ijassa-1393	93	3	of	of	ADP
ijassa-1393	93	4	svm	svm	PROPN
ijassa-1393	93	5	have	have	AUX
ijassa-1393	93	6	been	be	AUX
ijassa-1393	93	7	tuned	tune	VERB
ijassa-1393	93	8	additionally	additionally	ADV
ijassa-1393	93	9	through	through	ADP
ijassa-1393	93	10	the	the	DET
ijassa-1393	93	11	optimization	optimization	NOUN
ijassa-1393	93	12	of	of	ADP
ijassa-1393	93	13	bayesian	bayesian	NOUN
ijassa-1393	93	14	to	to	PART
ijassa-1393	93	15	attain	attain	VERB
ijassa-1393	93	16	a	a	DET
ijassa-1393	93	17	better	well	ADJ
ijassa-1393	93	18	performance	performance	NOUN
ijassa-1393	93	19	model	model	NOUN
ijassa-1393	93	20	.	.	PUNCT
ijassa-1393	94	1	the	the	DET
ijassa-1393	94	2	recommended	recommend	VERB
ijassa-1393	94	3	deepherb	deepherb	NOUN
ijassa-1393	94	4	model	model	NOUN
ijassa-1393	94	5	studied	study	VERB
ijassa-1393	94	6	from	from	ADP
ijassa-1393	94	7	ann	ann	PROPN
ijassa-1393	94	8	and	and	CCONJ
ijassa-1393	94	9	xception	xception	PROPN
ijassa-1393	94	10	outperformed	outperform	VERB
ijassa-1393	94	11	by	by	ADP
ijassa-1393	94	12	an	an	DET
ijassa-1393	94	13	accuracy	accuracy	NOUN
ijassa-1393	94	14	of	of	ADP
ijassa-1393	94	15	97.5	97.5	NUM
ijassa-1393	94	16	%	%	NOUN
ijassa-1393	94	17	(	(	PUNCT
ijassa-1393	94	18	roopashree	roopashree	PROPN
ijassa-1393	94	19	&	&	CCONJ
ijassa-1393	94	20	anitha	anitha	PROPN
ijassa-1393	94	21	,	,	PUNCT
ijassa-1393	94	22	2021	2021	NUM
ijassa-1393	94	23	)	)	PUNCT
ijassa-1393	94	24	.	.	PUNCT
ijassa-1393	95	1	the	the	DET
ijassa-1393	95	2	current	current	ADJ
ijassa-1393	95	3	study	study	NOUN
ijassa-1393	95	4	possesses	possess	VERB
ijassa-1393	95	5	images	image	NOUN
ijassa-1393	95	6	of	of	ADP
ijassa-1393	95	7	leaves	leave	NOUN
ijassa-1393	95	8	encompassing	encompass	VERB
ijassa-1393	95	9	nine	nine	NUM
ijassa-1393	95	10	various	various	ADJ
ijassa-1393	95	11	herbs	herb	NOUN
ijassa-1393	95	12	with	with	ADP
ijassa-1393	95	13	32	32	NUM
ijassa-1393	95	14	various	various	ADJ
ijassa-1393	95	15	categories	category	NOUN
ijassa-1393	95	16	of	of	ADP
ijassa-1393	95	17	the	the	DET
ijassa-1393	95	18	plantvillage	plantvillage	NOUN
ijassa-1393	95	19	deep	deep	ADJ
ijassa-1393	95	20	feature	feature	NOUN
ijassa-1393	95	21	extraction	extraction	NOUN
ijassa-1393	95	22	and	and	CCONJ
ijassa-1393	95	23	weight	weight	NOUN
ijassa-1393	95	24	updated	update	VERB
ijassa-1393	95	25	tuned	tune	VERB
ijassa-1393	95	26	random	random	ADJ
ijassa-1393	95	27	forest	forest	NOUN
ijassa-1393	95	28	…	…	PUNCT
ijassa-1393	95	29	131	131	NUM
ijassa-1393	95	30	copyright	copyright	NOUN
ijassa-1393	95	31	©	©	PROPN
ijassa-1393	95	32	2023	2023	NUM
ijassa-1393	95	33	assa	assa	NOUN
ijassa-1393	95	34	.	.	PUNCT
ijassa-1393	96	1	adv	adv	PROPN
ijassa-1393	96	2	.	.	PUNCT
ijassa-1393	97	1	in	in	ADP
ijassa-1393	97	2	systems	system	NOUN
ijassa-1393	97	3	science	science	NOUN
ijassa-1393	97	4	and	and	CCONJ
ijassa-1393	97	5	appl	appl	NOUN
ijassa-1393	97	6	.	.	PUNCT
ijassa-1393	98	1	(	(	PUNCT
ijassa-1393	98	2	2023	2023	NUM
ijassa-1393	98	3	)	)	PUNCT
ijassa-1393	98	4	database	database	NOUN
ijassa-1393	98	5	.	.	PUNCT
ijassa-1393	99	1	besides	besides	SCONJ
ijassa-1393	99	2	,	,	PUNCT
ijassa-1393	99	3	cnn	cnn	PROPN
ijassa-1393	99	4	has	have	AUX
ijassa-1393	99	5	been	be	AUX
ijassa-1393	99	6	used	use	VERB
ijassa-1393	99	7	to	to	PART
ijassa-1393	99	8	identify	identify	VERB
ijassa-1393	99	9	a	a	DET
ijassa-1393	99	10	plant	plant	NOUN
ijassa-1393	99	11	leaf	leaf	NOUN
ijassa-1393	99	12	.	.	PUNCT
ijassa-1393	100	1	transfer	transfer	NOUN
ijassa-1393	100	2	learning	learning	NOUN
ijassa-1393	100	3	has	have	AUX
ijassa-1393	100	4	been	be	AUX
ijassa-1393	100	5	used	use	VERB
ijassa-1393	100	6	for	for	ADP
ijassa-1393	100	7	a	a	DET
ijassa-1393	100	8	pre	pre	ADJ
ijassa-1393	100	9	-	-	ADJ
ijassa-1393	100	10	trained	trained	ADJ
ijassa-1393	100	11	network	network	NOUN
ijassa-1393	100	12	of	of	ADP
ijassa-1393	100	13	alexnet	alexnet	NOUN
ijassa-1393	100	14	for	for	ADP
ijassa-1393	100	15	several	several	ADJ
ijassa-1393	100	16	amounts	amount	NOUN
ijassa-1393	100	17	of	of	ADP
ijassa-1393	100	18	information	information	NOUN
ijassa-1393	100	19	for	for	ADP
ijassa-1393	100	20	network	network	NOUN
ijassa-1393	100	21	training	training	NOUN
ijassa-1393	100	22	,	,	PUNCT
ijassa-1393	100	23	and	and	CCONJ
ijassa-1393	100	24	the	the	DET
ijassa-1393	100	25	outcomes	outcome	NOUN
ijassa-1393	100	26	have	have	AUX
ijassa-1393	100	27	been	be	AUX
ijassa-1393	100	28	evaluated	evaluate	VERB
ijassa-1393	100	29	with	with	ADP
ijassa-1393	100	30	svm	svm	PROPN
ijassa-1393	100	31	and	and	CCONJ
ijassa-1393	100	32	dl	dl	PROPN
ijassa-1393	100	33	categorizers	categorizer	NOUN
ijassa-1393	100	34	.	.	PUNCT
ijassa-1393	101	1	with	with	ADP
ijassa-1393	101	2	91.15	91.15	NUM
ijassa-1393	101	3	%	%	NOUN
ijassa-1393	101	4	accuracy	accuracy	NOUN
ijassa-1393	101	5	,	,	PUNCT
ijassa-1393	101	6	alexnet	alexnet	NOUN
ijassa-1393	101	7	has	have	AUX
ijassa-1393	101	8	performed	perform	VERB
ijassa-1393	101	9	better	well	ADV
ijassa-1393	101	10	than	than	ADP
ijassa-1393	101	11	svm	svm	ADJ
ijassa-1393	101	12	,	,	PUNCT
ijassa-1393	101	13	providing	provide	VERB
ijassa-1393	101	14	89.69	89.69	NUM
ijassa-1393	101	15	%	%	NOUN
ijassa-1393	101	16	and	and	CCONJ
ijassa-1393	101	17	88.96	88.96	NUM
ijassa-1393	101	18	%	%	NOUN
ijassa-1393	101	19	for	for	ADP
ijassa-1393	101	20	circular	circular	ADJ
ijassa-1393	101	21	basis	basis	NOUN
ijassa-1393	101	22	linear	linear	NOUN
ijassa-1393	101	23	kernel	kernel	PROPN
ijassa-1393	101	24	and	and	CCONJ
ijassa-1393	101	25	functional	functional	ADJ
ijassa-1393	101	26	kernel	kernel	NOUN
ijassa-1393	101	27	,	,	PUNCT
ijassa-1393	101	28	respectively	respectively	ADV
ijassa-1393	101	29	(	(	PUNCT
ijassa-1393	101	30	wagle	wagle	NOUN
ijassa-1393	101	31	,	,	PUNCT
ijassa-1393	101	32	2021	2021	NUM
ijassa-1393	101	33	)	)	PUNCT
ijassa-1393	101	34	.	.	PUNCT
ijassa-1393	102	1	additionally	additionally	ADV
ijassa-1393	102	2	,	,	PUNCT
ijassa-1393	102	3	the	the	DET
ijassa-1393	102	4	current	current	ADJ
ijassa-1393	102	5	study	study	NOUN
ijassa-1393	102	6	has	have	AUX
ijassa-1393	102	7	recommended	recommend	VERB
ijassa-1393	102	8	a	a	DET
ijassa-1393	102	9	cnn	cnn	PROPN
ijassa-1393	102	10	-	-	PUNCT
ijassa-1393	102	11	based	base	VERB
ijassa-1393	102	12	process	process	NOUN
ijassa-1393	102	13	denoted	denote	VERB
ijassa-1393	102	14	as	as	ADP
ijassa-1393	102	15	dleaf	dleaf	NOUN
ijassa-1393	102	16	.	.	PUNCT
ijassa-1393	103	1	after	after	ADP
ijassa-1393	103	2	pre	pre	ADJ
ijassa-1393	103	3	-	-	ADJ
ijassa-1393	103	4	processing	process	VERB
ijassa-1393	103	5	the	the	DET
ijassa-1393	103	6	leaf	leaf	NOUN
ijassa-1393	103	7	images	image	NOUN
ijassa-1393	103	8	,	,	PUNCT
ijassa-1393	103	9	the	the	DET
ijassa-1393	103	10	features	feature	NOUN
ijassa-1393	103	11	have	have	AUX
ijassa-1393	103	12	been	be	AUX
ijassa-1393	103	13	extracted	extract	VERB
ijassa-1393	103	14	using	use	VERB
ijassa-1393	103	15	three	three	NUM
ijassa-1393	103	16	cnn	cnn	PROPN
ijassa-1393	103	17	models	model	NOUN
ijassa-1393	103	18	,	,	PUNCT
ijassa-1393	103	19	specifically	specifically	ADV
ijassa-1393	103	20	fine	fine	ADV
ijassa-1393	103	21	-	-	PUNCT
ijassa-1393	103	22	tuned	tune	VERB
ijassa-1393	103	23	alexnet	alexnet	NOUN
ijassa-1393	103	24	,	,	PUNCT
ijassa-1393	103	25	d	d	NOUN
ijassa-1393	103	26	-	-	PUNCT
ijassa-1393	103	27	leaf	leaf	NOUN
ijassa-1393	103	28	,	,	PUNCT
ijassa-1393	103	29	and	and	CCONJ
ijassa-1393	103	30	pre	pre	ADJ
ijassa-1393	103	31	-	-	ADJ
ijassa-1393	103	32	trained	train	VERB
ijassa-1393	103	33	alexnet	alexnet	NOUN
ijassa-1393	103	34	.	.	PUNCT
ijassa-1393	104	1	the	the	DET
ijassa-1393	104	2	features	feature	NOUN
ijassa-1393	104	3	were	be	AUX
ijassa-1393	104	4	then	then	ADV
ijassa-1393	104	5	categorized	categorize	VERB
ijassa-1393	104	6	using	use	VERB
ijassa-1393	104	7	five	five	NUM
ijassa-1393	104	8	ml	ml	NOUN
ijassa-1393	104	9	methods	method	NOUN
ijassa-1393	104	10	,	,	PUNCT
ijassa-1393	104	11	specifically	specifically	ADV
ijassa-1393	104	12	ann	ann	PROPN
ijassa-1393	104	13	,	,	PUNCT
ijassa-1393	104	14	svm	svm	PROPN
ijassa-1393	104	15	,	,	PUNCT
ijassa-1393	104	16	cnn	cnn	PROPN
ijassa-1393	104	17	,	,	PUNCT
ijassa-1393	104	18	k	k	PROPN
ijassa-1393	104	19	-	-	PUNCT
ijassa-1393	104	20	nn	nn	PROPN
ijassa-1393	104	21	(	(	PUNCT
ijassa-1393	104	22	knearest	knearest	NOUN
ijassa-1393	104	23	neighbour	neighbour	PROPN
ijassa-1393	104	24	)	)	PUNCT
ijassa-1393	104	25	,	,	PUNCT
ijassa-1393	104	26	and	and	CCONJ
ijassa-1393	104	27	nb	nb	INTJ
ijassa-1393	104	28	(	(	PUNCT
ijassa-1393	104	29	naïve	naïve	ADJ
ijassa-1393	104	30	bayes	bayes	PROPN
ijassa-1393	104	31	)	)	PUNCT
ijassa-1393	104	32	.	.	PUNCT
ijassa-1393	105	1	the	the	DET
ijassa-1393	105	2	d	d	ADJ
ijassa-1393	105	3	-	-	PUNCT
ijassa-1393	105	4	leaf	leaf	NOUN
ijassa-1393	105	5	model	model	NOUN
ijassa-1393	105	6	has	have	AUX
ijassa-1393	105	7	accomplished	accomplish	VERB
ijassa-1393	105	8	comparative	comparative	ADJ
ijassa-1393	105	9	testing	testing	NOUN
ijassa-1393	105	10	of	of	ADP
ijassa-1393	105	11	94.88	94.88	NUM
ijassa-1393	105	12	%	%	NOUN
ijassa-1393	105	13	accuracy	accuracy	NOUN
ijassa-1393	105	14	compared	compare	VERB
ijassa-1393	105	15	to	to	ADP
ijassa-1393	105	16	93.26	93.26	NUM
ijassa-1393	105	17	%	%	NOUN
ijassa-1393	105	18	(	(	PUNCT
ijassa-1393	105	19	alexnet	alexnet	NOUN
ijassa-1393	105	20	)	)	PUNCT
ijassa-1393	105	21	and	and	CCONJ
ijassa-1393	105	22	95.54	95.54	NUM
ijassa-1393	105	23	%	%	NOUN
ijassa-1393	105	24	(	(	PUNCT
ijassa-1393	105	25	finetuned	finetune	VERB
ijassa-1393	105	26	alexnet	alexnet	ADJ
ijassa-1393	105	27	)	)	PUNCT
ijassa-1393	105	28	models	model	NOUN
ijassa-1393	105	29	.	.	PUNCT
ijassa-1393	106	1	the	the	DET
ijassa-1393	106	2	current	current	ADJ
ijassa-1393	106	3	study	study	NOUN
ijassa-1393	106	4	has	have	AUX
ijassa-1393	106	5	concluded	conclude	VERB
ijassa-1393	106	6	that	that	SCONJ
ijassa-1393	106	7	compared	compare	VERB
ijassa-1393	106	8	to	to	ADP
ijassa-1393	106	9	cmm	cmm	PROPN
ijassa-1393	106	10	(	(	PUNCT
ijassa-1393	106	11	conventional	conventional	ADJ
ijassa-1393	106	12	morphological	morphological	ADJ
ijassa-1393	106	13	method	method	NOUN
ijassa-1393	106	14	)	)	PUNCT
ijassa-1393	106	15	,	,	PUNCT
ijassa-1393	106	16	cnn	cnn	PROPN
ijassa-1393	106	17	has	have	AUX
ijassa-1393	106	18	been	be	AUX
ijassa-1393	106	19	better	well	ADJ
ijassa-1393	106	20	for	for	ADP
ijassa-1393	106	21	retrieving	retrieve	VERB
ijassa-1393	106	22	features	feature	NOUN
ijassa-1393	106	23	of	of	ADP
ijassa-1393	106	24	herb	herb	NOUN
ijassa-1393	106	25	species	specie	NOUN
ijassa-1393	106	26	(	(	PUNCT
ijassa-1393	106	27	wei	wei	PROPN
ijassa-1393	106	28	tan	tan	PROPN
ijassa-1393	106	29	,	,	PUNCT
ijassa-1393	106	30	chang	chang	PROPN
ijassa-1393	106	31	,	,	PUNCT
ijassa-1393	106	32	abdul	abdul	PROPN
ijassa-1393	106	33	-	-	PUNCT
ijassa-1393	106	34	kareem	kareem	PROPN
ijassa-1393	106	35	,	,	PUNCT
ijassa-1393	106	36	yap	yap	PROPN
ijassa-1393	106	37	,	,	PUNCT
ijassa-1393	106	38	&	&	CCONJ
ijassa-1393	106	39	yong	yong	PROPN
ijassa-1393	106	40	,	,	PUNCT
ijassa-1393	106	41	2018	2018	NUM
ijassa-1393	106	42	)	)	PUNCT
ijassa-1393	106	43	.	.	PUNCT
ijassa-1393	107	1	besides	besides	SCONJ
ijassa-1393	107	2	,	,	PUNCT
ijassa-1393	107	3	rtsd	rtsd	NOUN
ijassa-1393	107	4	-	-	PUNCT
ijassa-1393	107	5	net	net	NOUN
ijassa-1393	107	6	(	(	PUNCT
ijassa-1393	107	7	real	real	ADJ
ijassa-1393	107	8	-	-	PUNCT
ijassa-1393	107	9	time	time	NOUN
ijassa-1393	107	10	strawberry	strawberry	NOUN
ijassa-1393	107	11	detection	detection	NOUN
ijassa-1393	107	12	)	)	PUNCT
ijassa-1393	107	13	has	have	AUX
ijassa-1393	107	14	been	be	AUX
ijassa-1393	107	15	performed	perform	VERB
ijassa-1393	107	16	through	through	ADP
ijassa-1393	107	17	dnn	dnn	PROPN
ijassa-1393	107	18	(	(	PUNCT
ijassa-1393	107	19	deep	deep	ADJ
ijassa-1393	107	20	neural	neural	ADJ
ijassa-1393	107	21	networks	network	NOUN
ijassa-1393	107	22	)	)	PUNCT
ijassa-1393	107	23	on	on	ADP
ijassa-1393	107	24	the	the	DET
ijassa-1393	107	25	embedded	embed	VERB
ijassa-1393	107	26	system	system	NOUN
ijassa-1393	107	27	,	,	PUNCT
ijassa-1393	107	28	which	which	PRON
ijassa-1393	107	29	has	have	AUX
ijassa-1393	107	30	exposed	expose	VERB
ijassa-1393	107	31	satisfactory	satisfactory	ADJ
ijassa-1393	107	32	performance	performance	NOUN
ijassa-1393	107	33	(	(	PUNCT
ijassa-1393	107	34	zhang	zhang	PROPN
ijassa-1393	107	35	et	et	PROPN
ijassa-1393	107	36	al	al	PROPN
ijassa-1393	107	37	.	.	PROPN
ijassa-1393	107	38	,	,	PUNCT
ijassa-1393	107	39	2022	2022	NUM
ijassa-1393	107	40	)	)	PUNCT
ijassa-1393	107	41	.	.	PUNCT
ijassa-1393	108	1	to	to	PART
ijassa-1393	108	2	enhance	enhance	VERB
ijassa-1393	108	3	prediction	prediction	NOUN
ijassa-1393	108	4	performance	performance	NOUN
ijassa-1393	108	5	,	,	PUNCT
ijassa-1393	108	6	the	the	DET
ijassa-1393	108	7	research	research	NOUN
ijassa-1393	108	8	by	by	ADP
ijassa-1393	108	9	(	(	PUNCT
ijassa-1393	108	10	dönmez	dönmez	NOUN
ijassa-1393	108	11	,	,	PUNCT
ijassa-1393	108	12	2022	2022	NUM
ijassa-1393	108	13	)	)	PUNCT
ijassa-1393	108	14	has	have	AUX
ijassa-1393	108	15	suggested	suggest	VERB
ijassa-1393	108	16	a	a	DET
ijassa-1393	108	17	model	model	NOUN
ijassa-1393	108	18	for	for	ADP
ijassa-1393	108	19	classifying	classify	VERB
ijassa-1393	108	20	haploid	haploid	NOUN
ijassa-1393	108	21	and	and	CCONJ
ijassa-1393	108	22	diploid	diploid	ADJ
ijassa-1393	108	23	maize	maize	NOUN
ijassa-1393	108	24	seeds	seed	NOUN
ijassa-1393	108	25	.	.	PUNCT
ijassa-1393	109	1	initially	initially	ADV
ijassa-1393	109	2	,	,	PUNCT
ijassa-1393	109	3	deep	deep	ADJ
ijassa-1393	109	4	features	feature	NOUN
ijassa-1393	109	5	have	have	AUX
ijassa-1393	109	6	been	be	AUX
ijassa-1393	109	7	attained	attain	VERB
ijassa-1393	109	8	from	from	ADP
ijassa-1393	109	9	cnn	cnn	PROPN
ijassa-1393	109	10	.	.	PUNCT
ijassa-1393	110	1	these	these	DET
ijassa-1393	110	2	features	feature	NOUN
ijassa-1393	110	3	have	have	AUX
ijassa-1393	110	4	been	be	AUX
ijassa-1393	110	5	selected	select	VERB
ijassa-1393	110	6	and	and	CCONJ
ijassa-1393	110	7	fused	fuse	VERB
ijassa-1393	110	8	by	by	ADP
ijassa-1393	110	9	varying	vary	VERB
ijassa-1393	110	10	cnn	cnn	PROPN
ijassa-1393	110	11	model	model	NOUN
ijassa-1393	110	12	combinations	combination	NOUN
ijassa-1393	110	13	.	.	PUNCT
ijassa-1393	111	1	such	such	ADJ
ijassa-1393	111	2	integrated	integrated	ADJ
ijassa-1393	111	3	features	feature	NOUN
ijassa-1393	111	4	were	be	AUX
ijassa-1393	111	5	then	then	ADV
ijassa-1393	111	6	utilized	utilize	VERB
ijassa-1393	111	7	in	in	ADP
ijassa-1393	111	8	traditional	traditional	ADJ
ijassa-1393	111	9	classifier	classifier	NOUN
ijassa-1393	111	10	methodology	methodology	NOUN
ijassa-1393	111	11	training	training	NOUN
ijassa-1393	111	12	and	and	CCONJ
ijassa-1393	111	13	testing	testing	NOUN
ijassa-1393	111	14	stages	stage	NOUN
ijassa-1393	111	15	.	.	PUNCT
ijassa-1393	112	1	by	by	ADP
ijassa-1393	112	2	empirical	empirical	ADJ
ijassa-1393	112	3	outcomes	outcome	NOUN
ijassa-1393	112	4	,	,	PUNCT
ijassa-1393	112	5	it	it	PRON
ijassa-1393	112	6	has	have	AUX
ijassa-1393	112	7	been	be	AUX
ijassa-1393	112	8	found	find	VERB
ijassa-1393	112	9	that	that	SCONJ
ijassa-1393	112	10	the	the	DET
ijassa-1393	112	11	performance	performance	NOUN
ijassa-1393	112	12	rate	rate	NOUN
ijassa-1393	112	13	has	have	AUX
ijassa-1393	112	14	been	be	AUX
ijassa-1393	112	15	about	about	ADV
ijassa-1393	112	16	96.74	96.74	NUM
ijassa-1393	112	17	%	%	NOUN
ijassa-1393	112	18	.	.	PUNCT
ijassa-1393	113	1	in	in	ADP
ijassa-1393	113	2	addition	addition	NOUN
ijassa-1393	113	3	,	,	PUNCT
ijassa-1393	113	4	crop	crop	NOUN
ijassa-1393	113	5	species	specie	NOUN
ijassa-1393	113	6	and	and	CCONJ
ijassa-1393	113	7	weeds	weed	NOUN
ijassa-1393	113	8	have	have	AUX
ijassa-1393	113	9	been	be	AUX
ijassa-1393	113	10	classified	classify	VERB
ijassa-1393	113	11	using	use	VERB
ijassa-1393	113	12	textual	textual	ADJ
ijassa-1393	113	13	features	feature	NOUN
ijassa-1393	113	14	of	of	ADP
ijassa-1393	113	15	rgb	rgb	PROPN
ijassa-1393	113	16	images	image	NOUN
ijassa-1393	113	17	compared	compare	VERB
ijassa-1393	113	18	to	to	ADP
ijassa-1393	113	19	the	the	DET
ijassa-1393	113	20	svm	svm	PROPN
ijassa-1393	113	21	and	and	CCONJ
ijassa-1393	113	22	dl	dl	NOUN
ijassa-1393	113	23	-	-	PUNCT
ijassa-1393	113	24	based	base	VERB
ijassa-1393	113	25	vgg16	vgg16	NOUN
ijassa-1393	113	26	model	model	NOUN
ijassa-1393	113	27	.	.	PUNCT
ijassa-1393	114	1	a	a	DET
ijassa-1393	114	2	feature	feature	NOUN
ijassa-1393	114	3	selection	selection	NOUN
ijassa-1393	114	4	approach	approach	NOUN
ijassa-1393	114	5	,	,	PUNCT
ijassa-1393	114	6	namely	namely	ADV
ijassa-1393	114	7	relieff	relieff	NOUN
ijassa-1393	114	8	,	,	PUNCT
ijassa-1393	114	9	has	have	AUX
ijassa-1393	114	10	been	be	AUX
ijassa-1393	114	11	employed	employ	VERB
ijassa-1393	114	12	for	for	ADP
ijassa-1393	114	13	selecting	select	VERB
ijassa-1393	114	14	suitable	suitable	ADJ
ijassa-1393	114	15	features	feature	NOUN
ijassa-1393	114	16	to	to	PART
ijassa-1393	114	17	perform	perform	VERB
ijassa-1393	114	18	prediction	prediction	NOUN
ijassa-1393	114	19	(	(	PUNCT
ijassa-1393	114	20	sunil	sunil	NOUN
ijassa-1393	114	21	et	et	PROPN
ijassa-1393	114	22	al	al	PROPN
ijassa-1393	114	23	.	.	PROPN
ijassa-1393	114	24	,	,	PUNCT
ijassa-1393	114	25	2022	2022	NUM
ijassa-1393	114	26	)	)	PUNCT
ijassa-1393	114	27	.	.	PUNCT
ijassa-1393	115	1	performance	performance	NOUN
ijassa-1393	115	2	metrics	metric	NOUN
ijassa-1393	115	3	,	,	PUNCT
ijassa-1393	115	4	namely	namely	ADV
ijassa-1393	115	5	kappa	kappa	VERB
ijassa-1393	115	6	score	score	NOUN
ijassa-1393	115	7	,	,	PUNCT
ijassa-1393	115	8	f1	f1	NOUN
ijassa-1393	115	9	-	-	PUNCT
ijassa-1393	115	10	score	score	NOUN
ijassa-1393	115	11	,	,	PUNCT
ijassa-1393	115	12	and	and	CCONJ
ijassa-1393	115	13	accuracy	accuracy	NOUN
ijassa-1393	115	14	,	,	PUNCT
ijassa-1393	115	15	have	have	AUX
ijassa-1393	115	16	been	be	AUX
ijassa-1393	115	17	considered	consider	VERB
ijassa-1393	115	18	to	to	PART
ijassa-1393	115	19	assess	assess	VERB
ijassa-1393	115	20	the	the	DET
ijassa-1393	115	21	suggested	suggested	ADJ
ijassa-1393	115	22	model	model	NOUN
ijassa-1393	115	23	's	's	PART
ijassa-1393	115	24	reliability	reliability	NOUN
ijassa-1393	115	25	and	and	CCONJ
ijassa-1393	115	26	performance	performance	NOUN
ijassa-1393	115	27	.	.	PUNCT
ijassa-1393	116	1	further	far	ADV
ijassa-1393	116	2	,	,	PUNCT
ijassa-1393	116	3	pls	pls	INTJ
ijassa-1393	116	4	(	(	PUNCT
ijassa-1393	116	5	partial	partial	ADJ
ijassa-1393	116	6	least	least	ADJ
ijassa-1393	116	7	square	square	ADJ
ijassa-1393	116	8	)	)	PUNCT
ijassa-1393	116	9	regression	regression	NOUN
ijassa-1393	116	10	(	(	PUNCT
ijassa-1393	116	11	goyal	goyal	PROPN
ijassa-1393	116	12	&	&	CCONJ
ijassa-1393	116	13	kumar	kumar	PROPN
ijassa-1393	116	14	,	,	PUNCT
ijassa-1393	116	15	2021	2021	NUM
ijassa-1393	116	16	)	)	PUNCT
ijassa-1393	116	17	has	have	AUX
ijassa-1393	116	18	been	be	AUX
ijassa-1393	116	19	performed	perform	VERB
ijassa-1393	116	20	to	to	PART
ijassa-1393	116	21	select	select	VERB
ijassa-1393	116	22	suitable	suitable	ADJ
ijassa-1393	116	23	features	feature	NOUN
ijassa-1393	116	24	from	from	ADP
ijassa-1393	116	25	the	the	DET
ijassa-1393	116	26	retrieved	retrieve	VERB
ijassa-1393	116	27	deep	deep	ADJ
ijassa-1393	116	28	feature	feature	NOUN
ijassa-1393	116	29	dataset	dataset	NOUN
ijassa-1393	116	30	(	(	PUNCT
ijassa-1393	116	31	saeed	saeed	PROPN
ijassa-1393	116	32	et	et	PROPN
ijassa-1393	116	33	al	al	PROPN
ijassa-1393	116	34	.	.	PROPN
ijassa-1393	116	35	,	,	PUNCT
ijassa-1393	116	36	2021	2021	NUM
ijassa-1393	116	37	)	)	PUNCT
ijassa-1393	116	38	.	.	PUNCT
ijassa-1393	117	1	the	the	DET
ijassa-1393	117	2	recommended	recommend	VERB
ijassa-1393	117	3	framework	framework	NOUN
ijassa-1393	117	4	has	have	AUX
ijassa-1393	117	5	included	include	VERB
ijassa-1393	117	6	three	three	NUM
ijassa-1393	117	7	major	major	ADJ
ijassa-1393	117	8	stages	stage	NOUN
ijassa-1393	117	9	.	.	PUNCT
ijassa-1393	118	1	at	at	ADP
ijassa-1393	118	2	the	the	DET
ijassa-1393	118	3	initial	initial	ADJ
ijassa-1393	118	4	stage	stage	NOUN
ijassa-1393	118	5	,	,	PUNCT
ijassa-1393	118	6	deep	deep	ADJ
ijassa-1393	118	7	features	feature	NOUN
ijassa-1393	118	8	have	have	AUX
ijassa-1393	118	9	been	be	AUX
ijassa-1393	118	10	extracted	extract	VERB
ijassa-1393	118	11	through	through	ADP
ijassa-1393	118	12	a	a	DET
ijassa-1393	118	13	pre	pre	ADJ
ijassa-1393	118	14	-	-	ADJ
ijassa-1393	118	15	trained	train	VERB
ijassa-1393	118	16	vgg19	vgg19	PROPN
ijassa-1393	118	17	-	-	PUNCT
ijassa-1393	118	18	cnn	cnn	PROPN
ijassa-1393	118	19	model	model	NOUN
ijassa-1393	118	20	(	(	PUNCT
ijassa-1393	118	21	rajesh	rajesh	PROPN
ijassa-1393	118	22	&	&	CCONJ
ijassa-1393	118	23	bhaskari	bhaskari	PROPN
ijassa-1393	118	24	,	,	PUNCT
ijassa-1393	118	25	2021	2021	NUM
ijassa-1393	118	26	)	)	PUNCT
ijassa-1393	118	27	.	.	PUNCT
ijassa-1393	119	1	subsequently	subsequently	ADV
ijassa-1393	119	2	,	,	PUNCT
ijassa-1393	119	3	a	a	DET
ijassa-1393	119	4	pls	pls	ADV
ijassa-1393	119	5	-	-	PUNCT
ijassa-1393	119	6	based	base	VERB
ijassa-1393	119	7	parallel	parallel	ADJ
ijassa-1393	119	8	fusion	fusion	NOUN
ijassa-1393	119	9	methodology	methodology	NOUN
ijassa-1393	119	10	has	have	AUX
ijassa-1393	119	11	been	be	AUX
ijassa-1393	119	12	endorsed	endorse	VERB
ijassa-1393	119	13	that	that	SCONJ
ijassa-1393	119	14	integrates	integrate	VERB
ijassa-1393	119	15	the	the	DET
ijassa-1393	119	16	features	feature	NOUN
ijassa-1393	119	17	retrieved	retrieve	VERB
ijassa-1393	119	18	from	from	ADP
ijassa-1393	119	19	fc	fc	PROPN
ijassa-1393	119	20	(	(	PUNCT
ijassa-1393	119	21	fully	fully	ADV
ijassa-1393	119	22	connected	connected	ADJ
ijassa-1393	119	23	)	)	PUNCT
ijassa-1393	119	24	layers	layer	NOUN
ijassa-1393	119	25	.	.	PUNCT
ijassa-1393	120	1	the	the	DET
ijassa-1393	120	2	convenient	convenient	ADJ
ijassa-1393	120	3	features	feature	NOUN
ijassa-1393	120	4	chosen	choose	VERB
ijassa-1393	120	5	through	through	ADP
ijassa-1393	120	6	pls	pls	PROPN
ijassa-1393	120	7	have	have	AUX
ijassa-1393	120	8	been	be	AUX
ijassa-1393	120	9	incorporated	incorporate	VERB
ijassa-1393	120	10	into	into	ADP
ijassa-1393	120	11	the	the	DET
ijassa-1393	120	12	ensemble	ensemble	ADJ
ijassa-1393	120	13	tree	tree	NOUN
ijassa-1393	120	14	classifier	classifier	NOUN
ijassa-1393	120	15	.	.	PUNCT
ijassa-1393	121	1	the	the	DET
ijassa-1393	121	2	suggested	suggest	VERB
ijassa-1393	121	3	system	system	NOUN
ijassa-1393	121	4	has	have	AUX
ijassa-1393	121	5	accomplished	accomplish	VERB
ijassa-1393	121	6	accuracy	accuracy	NOUN
ijassa-1393	121	7	at	at	ADP
ijassa-1393	121	8	a	a	DET
ijassa-1393	121	9	rate	rate	NOUN
ijassa-1393	121	10	of	of	ADP
ijassa-1393	121	11	90	90	NUM
ijassa-1393	121	12	%	%	NOUN
ijassa-1393	121	13	.	.	PUNCT
ijassa-1393	122	1	as	as	SCONJ
ijassa-1393	122	2	dl	dl	PROPN
ijassa-1393	122	3	algorithms	algorithm	NOUN
ijassa-1393	122	4	have	have	AUX
ijassa-1393	122	5	exposed	expose	VERB
ijassa-1393	122	6	better	well	ADJ
ijassa-1393	122	7	performance	performance	NOUN
ijassa-1393	122	8	,	,	PUNCT
ijassa-1393	122	9	the	the	DET
ijassa-1393	122	10	study	study	NOUN
ijassa-1393	122	11	(	(	PUNCT
ijassa-1393	122	12	crisóstomo	crisóstomo	PROPN
ijassa-1393	122	13	de	de	X
ijassa-1393	122	14	castro	castro	PROPN
ijassa-1393	122	15	filho	filho	PROPN
ijassa-1393	122	16	et	et	PROPN
ijassa-1393	122	17	al	al	PROPN
ijassa-1393	122	18	.	.	PROPN
ijassa-1393	122	19	,	,	PUNCT
ijassa-1393	122	20	2020	2020	NUM
ijassa-1393	122	21	)	)	PUNCT
ijassa-1393	122	22	has	have	AUX
ijassa-1393	122	23	intended	intend	VERB
ijassa-1393	122	24	to	to	PART
ijassa-1393	122	25	assess	assess	VERB
ijassa-1393	122	26	methodologies	methodology	NOUN
ijassa-1393	122	27	for	for	ADP
ijassa-1393	122	28	detecting	detect	VERB
ijassa-1393	122	29	rice	rice	NOUN
ijassa-1393	122	30	farming	farming	NOUN
ijassa-1393	122	31	in	in	ADP
ijassa-1393	122	32	the	the	DET
ijassa-1393	122	33	southern	southern	ADJ
ijassa-1393	122	34	part	part	NOUN
ijassa-1393	122	35	of	of	ADP
ijassa-1393	122	36	brazil	brazil	PROPN
ijassa-1393	122	37	,	,	PUNCT
ijassa-1393	122	38	for	for	ADP
ijassa-1393	122	39	which	which	PRON
ijassa-1393	122	40	it	it	PRON
ijassa-1393	122	41	has	have	AUX
ijassa-1393	122	42	used	use	VERB
ijassa-1393	122	43	bi	bi	NOUN
ijassa-1393	122	44	-	-	ADJ
ijassa-1393	122	45	lstm	lstm	ADJ
ijassa-1393	122	46	and	and	CCONJ
ijassa-1393	122	47	lstm	lstm	PROPN
ijassa-1393	122	48	.	.	PUNCT
ijassa-1393	123	1	comparison	comparison	NOUN
ijassa-1393	123	2	has	have	AUX
ijassa-1393	123	3	been	be	AUX
ijassa-1393	123	4	performed	perform	VERB
ijassa-1393	123	5	with	with	ADP
ijassa-1393	123	6	conventional	conventional	ADJ
ijassa-1393	123	7	ml	ml	NOUN
ijassa-1393	123	8	algorithms	algorithm	NOUN
ijassa-1393	123	9	,	,	PUNCT
ijassa-1393	123	10	namely	namely	ADV
ijassa-1393	123	11	svm	svm	PROPN
ijassa-1393	123	12	,	,	PUNCT
ijassa-1393	123	13	nb	nb	INTJ
ijassa-1393	123	14	,	,	PUNCT
ijassa-1393	123	15	k	k	PROPN
ijassa-1393	123	16	-	-	PUNCT
ijassa-1393	123	17	nn	nn	NOUN
ijassa-1393	123	18	,	,	PUNCT
ijassa-1393	123	19	and	and	CCONJ
ijassa-1393	123	20	rf	rf	ADJ
ijassa-1393	123	21	(	(	PUNCT
ijassa-1393	123	22	random	random	ADJ
ijassa-1393	123	23	forest	forest	NOUN
ijassa-1393	123	24	)	)	PUNCT
ijassa-1393	123	25	.	.	PUNCT
ijassa-1393	124	1	outcomes	outcome	NOUN
ijassa-1393	124	2	show	show	VERB
ijassa-1393	124	3	that	that	SCONJ
ijassa-1393	124	4	lstm	lstm	NOUN
ijassa-1393	124	5	and	and	CCONJ
ijassa-1393	124	6	bilstm	bilstm	NOUN
ijassa-1393	124	7	models	model	NOUN
ijassa-1393	124	8	have	have	AUX
ijassa-1393	124	9	exposed	expose	VERB
ijassa-1393	124	10	better	well	ADJ
ijassa-1393	124	11	performance	performance	NOUN
ijassa-1393	124	12	than	than	ADP
ijassa-1393	124	13	traditional	traditional	ADJ
ijassa-1393	124	14	ml	ml	NOUN
ijassa-1393	124	15	.	.	PUNCT
ijassa-1393	124	16	accordingly	accordingly	ADV
ijassa-1393	124	17	,	,	PUNCT
ijassa-1393	124	18	the	the	DET
ijassa-1393	124	19	study	study	NOUN
ijassa-1393	124	20	(	(	PUNCT
ijassa-1393	124	21	alajrami	alajrami	NOUN
ijassa-1393	124	22	&	&	CCONJ
ijassa-1393	124	23	abu	abu	PROPN
ijassa-1393	124	24	-	-	PUNCT
ijassa-1393	124	25	naser	naser	PROPN
ijassa-1393	124	26	,	,	PUNCT
ijassa-1393	124	27	2020	2020	NUM
ijassa-1393	124	28	)	)	PUNCT
ijassa-1393	124	29	has	have	AUX
ijassa-1393	124	30	recommended	recommend	VERB
ijassa-1393	124	31	a	a	DET
ijassa-1393	124	32	solution	solution	NOUN
ijassa-1393	124	33	for	for	ADP
ijassa-1393	124	34	assisting	assist	VERB
ijassa-1393	124	35	individuals	individual	NOUN
ijassa-1393	124	36	in	in	ADP
ijassa-1393	124	37	determining	determine	VERB
ijassa-1393	124	38	the	the	DET
ijassa-1393	124	39	tomato	tomato	NOUN
ijassa-1393	124	40	kinds	kind	NOUN
ijassa-1393	124	41	.	.	PUNCT
ijassa-1393	125	1	a	a	DET
ijassa-1393	125	2	model	model	NOUN
ijassa-1393	125	3	has	have	AUX
ijassa-1393	125	4	been	be	AUX
ijassa-1393	125	5	constructed	construct	VERB
ijassa-1393	125	6	through	through	ADP
ijassa-1393	125	7	the	the	DET
ijassa-1393	125	8	dl	dl	PROPN
ijassa-1393	125	9	-	-	PUNCT
ijassa-1393	125	10	based	base	VERB
ijassa-1393	125	11	cnn	cnn	PROPN
ijassa-1393	125	12	model	model	NOUN
ijassa-1393	125	13	that	that	PRON
ijassa-1393	125	14	has	have	AUX
ijassa-1393	125	15	been	be	AUX
ijassa-1393	125	16	trained	train	VERB
ijassa-1393	125	17	and	and	CCONJ
ijassa-1393	125	18	tested	test	VERB
ijassa-1393	125	19	.	.	PUNCT
ijassa-1393	126	1	the	the	DET
ijassa-1393	126	2	suggested	suggest	VERB
ijassa-1393	126	3	trained	train	VERB
ijassa-1393	126	4	model	model	NOUN
ijassa-1393	126	5	has	have	AUX
ijassa-1393	126	6	been	be	AUX
ijassa-1393	126	7	used	use	VERB
ijassa-1393	126	8	for	for	ADP
ijassa-1393	126	9	predicting	predict	VERB
ijassa-1393	126	10	the	the	DET
ijassa-1393	126	11	kind	kind	NOUN
ijassa-1393	126	12	of	of	ADP
ijassa-1393	126	13	tomato	tomato	NOUN
ijassa-1393	126	14	images	image	NOUN
ijassa-1393	126	15	with	with	ADP
ijassa-1393	126	16	the	the	DET
ijassa-1393	126	17	suggested	suggest	VERB
ijassa-1393	126	18	network	network	NOUN
ijassa-1393	126	19	encompassing	encompass	VERB
ijassa-1393	126	20	4	4	NUM
ijassa-1393	126	21	-	-	PUNCT
ijassa-1393	126	22	max	max	NOUN
ijassa-1393	126	23	pooling	pooling	NOUN
ijassa-1393	126	24	and	and	CCONJ
ijassa-1393	126	25	cnn	cnn	PROPN
ijassa-1393	126	26	layers	layer	NOUN
ijassa-1393	126	27	.	.	PUNCT
ijassa-1393	127	1	testing	testing	NOUN
ijassa-1393	127	2	accuracy	accuracy	NOUN
ijassa-1393	127	3	is	be	AUX
ijassa-1393	127	4	93	93	NUM
ijassa-1393	127	5	%	%	NOUN
ijassa-1393	127	6	.	.	PUNCT
ijassa-1393	128	1	furthermore	furthermore	ADV
ijassa-1393	128	2	,	,	PUNCT
ijassa-1393	128	3	a	a	DET
ijassa-1393	128	4	multiscale	multiscale	ADJ
ijassa-1393	128	5	cnn	cnn	PROPN
ijassa-1393	128	6	has	have	AUX
ijassa-1393	128	7	been	be	AUX
ijassa-1393	128	8	suggested	suggest	VERB
ijassa-1393	128	9	to	to	PART
ijassa-1393	128	10	recognize	recognize	VERB
ijassa-1393	128	11	plant	plant	NOUN
ijassa-1393	128	12	leaves	leave	NOUN
ijassa-1393	128	13	at	at	ADP
ijassa-1393	128	14	multiple	multiple	ADJ
ijassa-1393	128	15	scales	scale	NOUN
ijassa-1393	128	16	(	(	PUNCT
ijassa-1393	128	17	hu	hu	PROPN
ijassa-1393	128	18	,	,	PUNCT
ijassa-1393	128	19	chen	chen	PROPN
ijassa-1393	128	20	,	,	PUNCT
ijassa-1393	128	21	yang	yang	PROPN
ijassa-1393	128	22	,	,	PUNCT
ijassa-1393	128	23	zhang	zhang	PROPN
ijassa-1393	128	24	,	,	PUNCT
ijassa-1393	128	25	&	&	CCONJ
ijassa-1393	128	26	cui	cui	PROPN
ijassa-1393	128	27	,	,	PUNCT
ijassa-1393	128	28	2018	2018	NUM
ijassa-1393	128	29	)	)	PUNCT
ijassa-1393	128	30	.	.	PUNCT
ijassa-1393	129	1	experimentations	experimentation	NOUN
ijassa-1393	129	2	have	have	AUX
ijassa-1393	129	3	revealed	reveal	VERB
ijassa-1393	129	4	that	that	SCONJ
ijassa-1393	129	5	the	the	DET
ijassa-1393	129	6	suggested	suggest	VERB
ijassa-1393	129	7	model	model	NOUN
ijassa-1393	129	8	is	be	AUX
ijassa-1393	129	9	better	well	ADJ
ijassa-1393	129	10	than	than	ADP
ijassa-1393	129	11	several	several	ADJ
ijassa-1393	129	12	conventional	conventional	ADJ
ijassa-1393	129	13	plant	plant	NOUN
ijassa-1393	129	14	leaf	leaf	NOUN
ijassa-1393	129	15	identification	identification	NOUN
ijassa-1393	129	16	algorithms	algorithm	NOUN
ijassa-1393	129	17	.	.	PUNCT
ijassa-1393	130	1	nevertheless	nevertheless	ADV
ijassa-1393	130	2	,	,	PUNCT
ijassa-1393	130	3	the	the	DET
ijassa-1393	130	4	research	research	NOUN
ijassa-1393	130	5	(	(	PUNCT
ijassa-1393	130	6	wäldchen	wäldchen	PROPN
ijassa-1393	130	7	&	&	CCONJ
ijassa-1393	130	8	mäder	mäder	PROPN
ijassa-1393	130	9	,	,	PUNCT
ijassa-1393	130	10	2018	2018	NUM
ijassa-1393	130	11	)	)	PUNCT
ijassa-1393	130	12	has	have	AUX
ijassa-1393	130	13	stated	state	VERB
ijassa-1393	130	14	that	that	SCONJ
ijassa-1393	130	15	,	,	PUNCT
ijassa-1393	130	16	despite	despite	SCONJ
ijassa-1393	130	17	modern	modern	ADJ
ijassa-1393	130	18	ml	ml	NOUN
ijassa-1393	130	19	algorithms	algorithm	NOUN
ijassa-1393	130	20	exposing	expose	VERB
ijassa-1393	130	21	slow	slow	ADJ
ijassa-1393	130	22	performance	performance	NOUN
ijassa-1393	130	23	,	,	PUNCT
ijassa-1393	130	24	in	in	ADP
ijassa-1393	130	25	the	the	DET
ijassa-1393	130	26	future	future	NOUN
ijassa-1393	130	27	,	,	PUNCT
ijassa-1393	130	28	a	a	DET
ijassa-1393	130	29	proliferation	proliferation	NOUN
ijassa-1393	130	30	of	of	ADP
ijassa-1393	130	31	these	these	DET
ijassa-1393	130	32	algorithms	algorithm	NOUN
ijassa-1393	130	33	will	will	AUX
ijassa-1393	130	34	be	be	AUX
ijassa-1393	130	35	found	find	VERB
ijassa-1393	130	36	to	to	PART
ijassa-1393	130	37	solve	solve	VERB
ijassa-1393	130	38	the	the	DET
ijassa-1393	130	39	issues	issue	NOUN
ijassa-1393	130	40	of	of	ADP
ijassa-1393	130	41	predicting	predict	VERB
ijassa-1393	130	42	plant	plant	NOUN
ijassa-1393	130	43	species	specie	NOUN
ijassa-1393	130	44	.	.	PUNCT
ijassa-1393	131	1	under	under	ADP
ijassa-1393	131	2	this	this	PRON
ijassa-1393	131	3	,	,	PUNCT
ijassa-1393	131	4	the	the	DET
ijassa-1393	131	5	study	study	NOUN
ijassa-1393	131	6	(	(	PUNCT
ijassa-1393	131	7	feng	feng	PROPN
ijassa-1393	131	8	et	et	PROPN
ijassa-1393	131	9	al	al	PROPN
ijassa-1393	131	10	.	.	PROPN
ijassa-1393	131	11	,	,	PUNCT
ijassa-1393	131	12	132	132	NUM
ijassa-1393	131	13	i.	i.	PROPN
ijassa-1393	131	14	petrov	petrov	PROPN
ijassa-1393	131	15	,	,	PUNCT
ijassa-1393	131	16	j.f	j.f	PROPN
ijassa-1393	131	17	.	.	PROPN
ijassa-1393	131	18	doe	doe	NOUN
ijassa-1393	131	19	copyright	copyright	NOUN
ijassa-1393	131	20	©	©	PROPN
ijassa-1393	131	21	2023	2023	NUM
ijassa-1393	131	22	assa	assa	PROPN
ijassa-1393	131	23	adv	adv	PROPN
ijassa-1393	131	24	.	.	PUNCT
ijassa-1393	132	1	in	in	ADP
ijassa-1393	132	2	systems	system	NOUN
ijassa-1393	132	3	science	science	NOUN
ijassa-1393	132	4	and	and	CCONJ
ijassa-1393	132	5	appl	appl	NOUN
ijassa-1393	132	6	.	.	PUNCT
ijassa-1393	133	1	(	(	PUNCT
ijassa-1393	133	2	2023	2023	NUM
ijassa-1393	133	3	)	)	PUNCT
ijassa-1393	133	4	2019	2019	NUM
ijassa-1393	133	5	)	)	PUNCT
ijassa-1393	133	6	has	have	AUX
ijassa-1393	133	7	intended	intend	VERB
ijassa-1393	133	8	to	to	PART
ijassa-1393	133	9	expose	expose	VERB
ijassa-1393	133	10	the	the	DET
ijassa-1393	133	11	employment	employment	NOUN
ijassa-1393	133	12	of	of	ADP
ijassa-1393	133	13	svms	svms	NOUN
ijassa-1393	133	14	and	and	CCONJ
ijassa-1393	133	15	rf	rf	NOUN
ijassa-1393	133	16	in	in	ADP
ijassa-1393	133	17	identifying	identify	VERB
ijassa-1393	133	18	multi	multi	ADJ
ijassa-1393	133	19	-	-	ADJ
ijassa-1393	133	20	feature	feature	ADJ
ijassa-1393	133	21	crop	crop	NOUN
ijassa-1393	133	22	kinds	kind	NOUN
ijassa-1393	133	23	like	like	ADP
ijassa-1393	133	24	spectroscopy	spectroscopy	NOUN
ijassa-1393	133	25	,	,	PUNCT
ijassa-1393	133	26	phonological	phonological	ADJ
ijassa-1393	133	27	parameters	parameter	NOUN
ijassa-1393	133	28	,	,	PUNCT
ijassa-1393	133	29	and	and	CCONJ
ijassa-1393	133	30	vegetation	vegetation	NOUN
ijassa-1393	133	31	index	index	NOUN
ijassa-1393	133	32	.	.	PUNCT
ijassa-1393	134	1	training	training	NOUN
ijassa-1393	134	2	of	of	ADP
ijassa-1393	134	3	the	the	DET
ijassa-1393	134	4	sample	sample	NOUN
ijassa-1393	134	5	and	and	CCONJ
ijassa-1393	134	6	verification	verification	NOUN
ijassa-1393	134	7	of	of	ADP
ijassa-1393	134	8	accuracy	accuracy	NOUN
ijassa-1393	134	9	have	have	AUX
ijassa-1393	134	10	been	be	AUX
ijassa-1393	134	11	undertaken	undertake	VERB
ijassa-1393	134	12	through	through	ADP
ijassa-1393	134	13	the	the	DET
ijassa-1393	134	14	use	use	NOUN
ijassa-1393	134	15	of	of	ADP
ijassa-1393	134	16	ml	ml	ADP
ijassa-1393	134	17	algorithms	algorithm	NOUN
ijassa-1393	134	18	encompassing	encompass	VERB
ijassa-1393	134	19	svm	svm	PROPN
ijassa-1393	134	20	,	,	PUNCT
ijassa-1393	134	21	maximum	maximum	ADJ
ijassa-1393	134	22	likelihood	likelihood	NOUN
ijassa-1393	134	23	methodologies	methodology	NOUN
ijassa-1393	134	24	,	,	PUNCT
ijassa-1393	134	25	and	and	CCONJ
ijassa-1393	134	26	rf	rf	NOUN
ijassa-1393	134	27	.	.	NOUN
ijassa-1393	134	28	outcomes	outcome	NOUN
ijassa-1393	134	29	have	have	AUX
ijassa-1393	134	30	been	be	AUX
ijassa-1393	134	31	significant	significant	ADJ
ijassa-1393	134	32	.	.	PUNCT
ijassa-1393	135	1	further	far	ADV
ijassa-1393	135	2	,	,	PUNCT
ijassa-1393	135	3	for	for	ADP
ijassa-1393	135	4	classifying	classify	VERB
ijassa-1393	135	5	plant	plant	NOUN
ijassa-1393	135	6	species	specie	NOUN
ijassa-1393	135	7	from	from	ADP
ijassa-1393	135	8	occluded	occluded	ADJ
ijassa-1393	135	9	images	image	NOUN
ijassa-1393	135	10	of	of	ADP
ijassa-1393	135	11	leaves	leave	NOUN
ijassa-1393	135	12	,	,	PUNCT
ijassa-1393	135	13	the	the	DET
ijassa-1393	135	14	research	research	NOUN
ijassa-1393	135	15	(	(	PUNCT
ijassa-1393	135	16	chaudhury	chaudhury	PROPN
ijassa-1393	135	17	&	&	CCONJ
ijassa-1393	135	18	barron	barron	PROPN
ijassa-1393	135	19	,	,	PUNCT
ijassa-1393	135	20	2018	2018	NUM
ijassa-1393	135	21	)	)	PUNCT
ijassa-1393	135	22	has	have	AUX
ijassa-1393	135	23	used	use	VERB
ijassa-1393	135	24	a	a	DET
ijassa-1393	135	25	dataset	dataset	ADJ
ijassa-1393	135	26	comprising	comprising	NOUN
ijassa-1393	135	27	varied	varied	ADJ
ijassa-1393	135	28	leaf	leaf	NOUN
ijassa-1393	135	29	kinds	kind	NOUN
ijassa-1393	135	30	(	(	PUNCT
ijassa-1393	135	31	m.	m.	NOUN
ijassa-1393	135	32	kumar	kumar	PROPN
ijassa-1393	135	33	,	,	PUNCT
ijassa-1393	135	34	gupta	gupta	PROPN
ijassa-1393	135	35	,	,	PUNCT
ijassa-1393	135	36	gao	gao	PROPN
ijassa-1393	135	37	,	,	PUNCT
ijassa-1393	135	38	&	&	CCONJ
ijassa-1393	135	39	singh	singh	PROPN
ijassa-1393	135	40	,	,	PUNCT
ijassa-1393	135	41	2019	2019	NUM
ijassa-1393	135	42	)	)	PUNCT
ijassa-1393	135	43	.	.	PUNCT
ijassa-1393	136	1	initially	initially	ADV
ijassa-1393	136	2	,	,	PUNCT
ijassa-1393	136	3	2d	2d	NOUN
ijassa-1393	136	4	-	-	PUNCT
ijassa-1393	136	5	contour	contour	NOUN
ijassa-1393	136	6	points	point	NOUN
ijassa-1393	136	7	have	have	AUX
ijassa-1393	136	8	been	be	AUX
ijassa-1393	136	9	indicated	indicate	VERB
ijassa-1393	136	10	as	as	ADP
ijassa-1393	136	11	βspline	βspline	NOUN
ijassa-1393	136	12	curves	curve	NOUN
ijassa-1393	136	13	.	.	PUNCT
ijassa-1393	137	1	following	follow	VERB
ijassa-1393	137	2	this	this	PRON
ijassa-1393	137	3	,	,	PUNCT
ijassa-1393	137	4	the	the	DET
ijassa-1393	137	5	dce	dce	PROPN
ijassa-1393	137	6	(	(	PUNCT
ijassa-1393	137	7	discrete	discrete	VERB
ijassa-1393	137	8	contour	contour	NOUN
ijassa-1393	137	9	evolution	evolution	NOUN
ijassa-1393	137	10	)	)	PUNCT
ijassa-1393	137	11	approach	approach	NOUN
ijassa-1393	137	12	has	have	AUX
ijassa-1393	137	13	extracted	extract	VERB
ijassa-1393	137	14	interest	interest	NOUN
ijassa-1393	137	15	points	point	NOUN
ijassa-1393	137	16	on	on	ADP
ijassa-1393	137	17	such	such	ADJ
ijassa-1393	137	18	curves	curve	NOUN
ijassa-1393	137	19	.	.	PUNCT
ijassa-1393	138	1	following	follow	VERB
ijassa-1393	138	2	this	this	PRON
ijassa-1393	138	3	,	,	PUNCT
ijassa-1393	138	4	the	the	DET
ijassa-1393	138	5	parameters	parameter	NOUN
ijassa-1393	138	6	for	for	ADP
ijassa-1393	138	7	similarity	similarity	NOUN
ijassa-1393	138	8	transformation	transformation	NOUN
ijassa-1393	138	9	have	have	AUX
ijassa-1393	138	10	been	be	AUX
ijassa-1393	138	11	calculated	calculate	VERB
ijassa-1393	138	12	for	for	ADP
ijassa-1393	138	13	an	an	DET
ijassa-1393	138	14	individual	individual	ADJ
ijassa-1393	138	15	open	open	ADJ
ijassa-1393	138	16	curve	curve	NOUN
ijassa-1393	138	17	.	.	PUNCT
ijassa-1393	139	1	then	then	ADV
ijassa-1393	139	2	,	,	PUNCT
ijassa-1393	139	3	distinct	distinct	ADJ
ijassa-1393	139	4	open	open	ADJ
ijassa-1393	139	5	curves	curve	NOUN
ijassa-1393	139	6	were	be	AUX
ijassa-1393	139	7	overlaid	overlay	VERB
ijassa-1393	139	8	with	with	ADP
ijassa-1393	139	9	inverse	inverse	NOUN
ijassa-1393	139	10	similarity	similarity	NOUN
ijassa-1393	139	11	curves	curve	NOUN
ijassa-1393	139	12	,	,	PUNCT
ijassa-1393	139	13	and	and	CCONJ
ijassa-1393	139	14	used	use	VERB
ijassa-1393	139	15	the	the	DET
ijassa-1393	139	16	frechet	frechet	PROPN
ijassa-1393	139	17	metric	metric	NOUN
ijassa-1393	139	18	for	for	ADP
ijassa-1393	139	19	computing	compute	VERB
ijassa-1393	139	20	the	the	DET
ijassa-1393	139	21	measure	measure	NOUN
ijassa-1393	139	22	of	of	ADP
ijassa-1393	139	23	match	match	NOUN
ijassa-1393	139	24	quality	quality	NOUN
ijassa-1393	139	25	and	and	CCONJ
ijassa-1393	139	26	retaining	retain	VERB
ijassa-1393	139	27	ideal	ideal	ADJ
ijassa-1393	139	28	η	η	ADJ
ijassa-1393	139	29	-	-	ADJ
ijassa-1393	139	30	matched	match	VERB
ijassa-1393	139	31	curves	curve	NOUN
ijassa-1393	139	32	.	.	PUNCT
ijassa-1393	140	1	the	the	DET
ijassa-1393	140	2	function	function	NOUN
ijassa-1393	140	3	has	have	AUX
ijassa-1393	140	4	used	use	VERB
ijassa-1393	140	5	global	global	ADJ
ijassa-1393	140	6	curvature	curvature	NOUN
ijassa-1393	140	7	,	,	PUNCT
ijassa-1393	140	8	local	local	ADJ
ijassa-1393	140	9	curvature	curvature	NOUN
ijassa-1393	140	10	,	,	PUNCT
ijassa-1393	140	11	string	string	NOUN
ijassa-1393	140	12	-	-	PUNCT
ijassa-1393	140	13	cut	cut	VERB
ijassa-1393	140	14	features	feature	NOUN
ijassa-1393	140	15	,	,	PUNCT
ijassa-1393	140	16	and	and	CCONJ
ijassa-1393	140	17	shape	shape	NOUN
ijassa-1393	140	18	-	-	PUNCT
ijassa-1393	140	19	context	context	NOUN
ijassa-1393	140	20	descriptors	descriptor	NOUN
ijassa-1393	140	21	.	.	PUNCT
ijassa-1393	141	1	energy	energy	NOUN
ijassa-1393	141	2	function	function	NOUN
ijassa-1393	141	3	has	have	AUX
ijassa-1393	141	4	been	be	AUX
ijassa-1393	141	5	minimized	minimize	VERB
ijassa-1393	141	6	by	by	ADP
ijassa-1393	141	7	using	use	VERB
ijassa-1393	141	8	a	a	DET
ijassa-1393	141	9	convex	convex	NOUN
ijassa-1393	141	10	and	and	CCONJ
ijassa-1393	141	11	concave	concave	ADJ
ijassa-1393	141	12	relaxation	relaxation	NOUN
ijassa-1393	141	13	model	model	NOUN
ijassa-1393	141	14	.	.	PUNCT
ijassa-1393	142	1	experimentations	experimentation	NOUN
ijassa-1393	142	2	on	on	ADP
ijassa-1393	142	3	three	three	NUM
ijassa-1393	142	4	accessible	accessible	ADJ
ijassa-1393	142	5	leaf	leaf	NOUN
ijassa-1393	142	6	image	image	NOUN
ijassa-1393	142	7	datasets	dataset	NOUN
ijassa-1393	142	8	have	have	AUX
ijassa-1393	142	9	exposed	expose	VERB
ijassa-1393	142	10	the	the	DET
ijassa-1393	142	11	better	well	ADJ
ijassa-1393	142	12	performance	performance	NOUN
ijassa-1393	142	13	of	of	ADP
ijassa-1393	142	14	the	the	DET
ijassa-1393	142	15	suggested	suggest	VERB
ijassa-1393	142	16	model	model	NOUN
ijassa-1393	142	17	.	.	PUNCT
ijassa-1393	143	1	2.1	2.1	NUM
ijassa-1393	143	2	.	.	PUNCT
ijassa-1393	143	3	problem	problem	NOUN
ijassa-1393	143	4	identification	identification	NOUN
ijassa-1393	143	5	the	the	DET
ijassa-1393	143	6	main	main	ADJ
ijassa-1393	143	7	issues	issue	NOUN
ijassa-1393	143	8	that	that	PRON
ijassa-1393	143	9	have	have	AUX
ijassa-1393	143	10	been	be	AUX
ijassa-1393	143	11	identified	identify	VERB
ijassa-1393	143	12	through	through	ADP
ijassa-1393	143	13	the	the	DET
ijassa-1393	143	14	evaluation	evaluation	NOUN
ijassa-1393	143	15	of	of	ADP
ijassa-1393	143	16	the	the	DET
ijassa-1393	143	17	above	above	ADJ
ijassa-1393	143	18	conventional	conventional	ADJ
ijassa-1393	143	19	studies	study	NOUN
ijassa-1393	143	20	are	be	AUX
ijassa-1393	143	21	listed	list	VERB
ijassa-1393	143	22	below	below	ADV
ijassa-1393	143	23	,	,	PUNCT
ijassa-1393	143	24			PRON
ijassa-1393	143	25	only	only	ADV
ijassa-1393	143	26	a	a	DET
ijassa-1393	143	27	few	few	ADJ
ijassa-1393	143	28	studies	study	NOUN
ijassa-1393	143	29	have	have	AUX
ijassa-1393	143	30	endeavored	endeavor	VERB
ijassa-1393	143	31	to	to	PART
ijassa-1393	143	32	perform	perform	VERB
ijassa-1393	143	33	piper	piper	NOUN
ijassa-1393	143	34	plant	plant	NOUN
ijassa-1393	143	35	classification	classification	NOUN
ijassa-1393	143	36	.	.	PUNCT
ijassa-1393	144	1	however	however	ADV
ijassa-1393	144	2	,	,	PUNCT
ijassa-1393	144	3	these	these	DET
ijassa-1393	144	4	studies	study	NOUN
ijassa-1393	144	5	lacked	lack	VERB
ijassa-1393	144	6	accuracy	accuracy	NOUN
ijassa-1393	144	7	.	.	PUNCT
ijassa-1393	145	1	for	for	ADP
ijassa-1393	145	2	instance	instance	NOUN
ijassa-1393	145	3	,	,	PUNCT
ijassa-1393	145	4	the	the	DET
ijassa-1393	145	5	study	study	NOUN
ijassa-1393	145	6	(	(	PUNCT
ijassa-1393	145	7	rahmatulloh	rahmatulloh	PROPN
ijassa-1393	145	8	&	&	CCONJ
ijassa-1393	145	9	suhendy	suhendy	PROPN
ijassa-1393	145	10	,	,	PUNCT
ijassa-1393	145	11	2022	2022	NUM
ijassa-1393	145	12	)	)	PUNCT
ijassa-1393	145	13	has	have	AUX
ijassa-1393	145	14	exposed	expose	VERB
ijassa-1393	145	15	89.42	89.42	NUM
ijassa-1393	145	16	%	%	NOUN
ijassa-1393	145	17	accuracy	accuracy	NOUN
ijassa-1393	145	18	while	while	SCONJ
ijassa-1393	145	19	using	use	VERB
ijassa-1393	145	20	mikrobatx	mikrobatx	NOUN
ijassa-1393	145	21	.	.	PUNCT
ijassa-1393	146	1			PROPN
ijassa-1393	146	2	conventional	conventional	ADJ
ijassa-1393	146	3	works	work	NOUN
ijassa-1393	146	4	have	have	AUX
ijassa-1393	146	5	attempted	attempt	VERB
ijassa-1393	146	6	to	to	PART
ijassa-1393	146	7	employ	employ	VERB
ijassa-1393	146	8	various	various	ADJ
ijassa-1393	146	9	algorithms	algorithm	NOUN
ijassa-1393	146	10	for	for	ADP
ijassa-1393	146	11	classifying	classify	VERB
ijassa-1393	146	12	different	different	ADJ
ijassa-1393	146	13	kinds	kind	NOUN
ijassa-1393	146	14	of	of	ADP
ijassa-1393	146	15	plant	plant	NOUN
ijassa-1393	146	16	species	specie	NOUN
ijassa-1393	146	17	.	.	PUNCT
ijassa-1393	147	1	for	for	ADP
ijassa-1393	147	2	instance	instance	NOUN
ijassa-1393	147	3	,	,	PUNCT
ijassa-1393	147	4	the	the	DET
ijassa-1393	147	5	research	research	NOUN
ijassa-1393	147	6	(	(	PUNCT
ijassa-1393	147	7	wagle	wagle	NOUN
ijassa-1393	147	8	,	,	PUNCT
ijassa-1393	147	9	2021	2021	NUM
ijassa-1393	147	10	)	)	PUNCT
ijassa-1393	147	11	has	have	AUX
ijassa-1393	147	12	used	use	VERB
ijassa-1393	147	13	alexnet	alexnet	NOUN
ijassa-1393	147	14	and	and	CCONJ
ijassa-1393	147	15	exposed	expose	VERB
ijassa-1393	147	16	91.15	91.15	NUM
ijassa-1393	147	17	%	%	NOUN
ijassa-1393	147	18	accuracy	accuracy	NOUN
ijassa-1393	147	19	compared	compare	VERB
ijassa-1393	147	20	with	with	ADP
ijassa-1393	147	21	svm	svm	PROPN
ijassa-1393	147	22	,	,	PUNCT
ijassa-1393	147	23	which	which	PRON
ijassa-1393	147	24	affords	afford	VERB
ijassa-1393	147	25	89.69	89.69	NUM
ijassa-1393	147	26	%	%	NOUN
ijassa-1393	147	27	and	and	CCONJ
ijassa-1393	147	28	88.96	88.96	NUM
ijassa-1393	147	29	%	%	NOUN
ijassa-1393	147	30	for	for	ADP
ijassa-1393	147	31	linear	linear	ADJ
ijassa-1393	147	32	kernel	kernel	PROPN
ijassa-1393	147	33	and	and	CCONJ
ijassa-1393	147	34	rbf	rbf	PROPN
ijassa-1393	147	35	(	(	PUNCT
ijassa-1393	147	36	radial	radial	ADJ
ijassa-1393	147	37	basis	basis	NOUN
ijassa-1393	147	38	function	function	NOUN
ijassa-1393	147	39	)	)	PUNCT
ijassa-1393	147	40	.	.	PUNCT
ijassa-1393	148	1	the	the	DET
ijassa-1393	148	2	study	study	NOUN
ijassa-1393	148	3	(	(	PUNCT
ijassa-1393	148	4	wei	wei	PROPN
ijassa-1393	148	5	tan	tan	PROPN
ijassa-1393	148	6	et	et	PROPN
ijassa-1393	148	7	al	al	PROPN
ijassa-1393	148	8	.	.	PROPN
ijassa-1393	148	9	,	,	PUNCT
ijassa-1393	148	10	2018	2018	NUM
ijassa-1393	148	11	)	)	PUNCT
ijassa-1393	148	12	has	have	AUX
ijassa-1393	148	13	exposed	expose	VERB
ijassa-1393	148	14	94.88	94.88	NUM
ijassa-1393	148	15	%	%	NOUN
ijassa-1393	148	16	accuracy	accuracy	NOUN
ijassa-1393	148	17	while	while	SCONJ
ijassa-1393	148	18	utilizing	utilize	VERB
ijassa-1393	148	19	the	the	DET
ijassa-1393	148	20	d	d	ADJ
ijassa-1393	148	21	-	-	PUNCT
ijassa-1393	148	22	leaf	leaf	NOUN
ijassa-1393	148	23	model	model	NOUN
ijassa-1393	148	24	.	.	PUNCT
ijassa-1393	149	1	further	far	ADV
ijassa-1393	149	2	,	,	PUNCT
ijassa-1393	149	3	the	the	DET
ijassa-1393	149	4	research	research	NOUN
ijassa-1393	149	5	(	(	PUNCT
ijassa-1393	149	6	saeed	saeed	PROPN
ijassa-1393	149	7	et	et	PROPN
ijassa-1393	149	8	al	al	PROPN
ijassa-1393	149	9	.	.	PROPN
ijassa-1393	149	10	,	,	PUNCT
ijassa-1393	149	11	2021	2021	NUM
ijassa-1393	149	12	)	)	PUNCT
ijassa-1393	149	13	used	use	VERB
ijassa-1393	149	14	pls	pls	PROPN
ijassa-1393	149	15	to	to	PART
ijassa-1393	149	16	select	select	VERB
ijassa-1393	149	17	features	feature	NOUN
ijassa-1393	149	18	with	with	ADP
ijassa-1393	149	19	pre	pre	ADJ
ijassa-1393	149	20	-	-	ADJ
ijassa-1393	149	21	trained	train	VERB
ijassa-1393	149	22	vgg19	vgg19	NOUN
ijassa-1393	149	23	and	and	CCONJ
ijassa-1393	149	24	exposed	expose	VERB
ijassa-1393	149	25	them	they	PRON
ijassa-1393	149	26	with	with	ADP
ijassa-1393	149	27	90	90	NUM
ijassa-1393	149	28	%	%	NOUN
ijassa-1393	149	29	accuracy	accuracy	NOUN
ijassa-1393	149	30	.	.	PUNCT
ijassa-1393	150	1	on	on	ADP
ijassa-1393	150	2	the	the	DET
ijassa-1393	150	3	contrary	contrary	NOUN
ijassa-1393	150	4	,	,	PUNCT
ijassa-1393	150	5	the	the	DET
ijassa-1393	150	6	study	study	NOUN
ijassa-1393	150	7	(	(	PUNCT
ijassa-1393	150	8	alajrami	alajrami	NOUN
ijassa-1393	150	9	&	&	CCONJ
ijassa-1393	150	10	abu	abu	PROPN
ijassa-1393	150	11	-	-	PUNCT
ijassa-1393	150	12	naser	naser	PROPN
ijassa-1393	150	13	,	,	PUNCT
ijassa-1393	150	14	2020	2020	NUM
ijassa-1393	150	15	)	)	PUNCT
ijassa-1393	150	16	aimed	aim	VERB
ijassa-1393	150	17	to	to	PART
ijassa-1393	150	18	classify	classify	VERB
ijassa-1393	150	19	tomato	tomato	NOUN
ijassa-1393	150	20	plants	plant	NOUN
ijassa-1393	150	21	and	and	CCONJ
ijassa-1393	150	22	accomplished	accomplish	VERB
ijassa-1393	150	23	a	a	DET
ijassa-1393	150	24	93	93	NUM
ijassa-1393	150	25	%	%	NOUN
ijassa-1393	150	26	prediction	prediction	NOUN
ijassa-1393	150	27	rate	rate	NOUN
ijassa-1393	150	28	using	use	VERB
ijassa-1393	150	29	cnns	cnn	NOUN
ijassa-1393	150	30	.	.	PUNCT
ijassa-1393	151	1			X
ijassa-1393	151	2	suitable	suitable	ADJ
ijassa-1393	151	3	feature	feature	NOUN
ijassa-1393	151	4	extraction	extraction	NOUN
ijassa-1393	151	5	approaches	approach	NOUN
ijassa-1393	151	6	have	have	VERB
ijassa-1393	151	7	to	to	PART
ijassa-1393	151	8	be	be	AUX
ijassa-1393	151	9	selected	select	VERB
ijassa-1393	151	10	for	for	ADP
ijassa-1393	151	11	data	datum	NOUN
ijassa-1393	151	12	pre	pre	ADJ
ijassa-1393	151	13	-	-	NOUN
ijassa-1393	151	14	processing	processing	NOUN
ijassa-1393	151	15	that	that	PRON
ijassa-1393	151	16	could	could	AUX
ijassa-1393	151	17	be	be	AUX
ijassa-1393	151	18	suitable	suitable	ADJ
ijassa-1393	151	19	for	for	ADP
ijassa-1393	151	20	the	the	DET
ijassa-1393	151	21	dl	dl	PROPN
ijassa-1393	151	22	model	model	PROPN
ijassa-1393	151	23	(	(	PUNCT
ijassa-1393	151	24	wagle	wagle	NOUN
ijassa-1393	151	25	,	,	PUNCT
ijassa-1393	151	26	2021	2021	NUM
ijassa-1393	151	27	)	)	PUNCT
ijassa-1393	151	28	.	.	PUNCT
ijassa-1393	152	1			NOUN
ijassa-1393	153	1	complex	complex	ADJ
ijassa-1393	153	2	and	and	CCONJ
ijassa-1393	153	3	recently	recently	ADV
ijassa-1393	153	4	successful	successful	ADJ
ijassa-1393	153	5	dl	dl	PROPN
ijassa-1393	153	6	algorithms	algorithm	NOUN
ijassa-1393	153	7	could	could	AUX
ijassa-1393	153	8	enhance	enhance	VERB
ijassa-1393	153	9	the	the	DET
ijassa-1393	153	10	classifier	classifier	NOUN
ijassa-1393	153	11	performance	performance	NOUN
ijassa-1393	153	12	(	(	PUNCT
ijassa-1393	153	13	chaudhury	chaudhury	PROPN
ijassa-1393	153	14	&	&	CCONJ
ijassa-1393	153	15	barron	barron	PROPN
ijassa-1393	153	16	,	,	PUNCT
ijassa-1393	153	17	2018	2018	NUM
ijassa-1393	153	18	;	;	PUNCT
ijassa-1393	153	19	sunil	sunil	PROPN
ijassa-1393	153	20	et	et	PROPN
ijassa-1393	153	21	al	al	PROPN
ijassa-1393	153	22	.	.	PROPN
ijassa-1393	153	23	,	,	PUNCT
ijassa-1393	153	24	2022	2022	NUM
ijassa-1393	153	25	)	)	PUNCT
ijassa-1393	153	26	.	.	PUNCT
ijassa-1393	154	1			PUNCT
ijassa-1393	155	1	although	although	SCONJ
ijassa-1393	155	2	the	the	DET
ijassa-1393	155	3	suggested	suggest	VERB
ijassa-1393	155	4	model	model	NOUN
ijassa-1393	155	5	in	in	ADP
ijassa-1393	155	6	(	(	PUNCT
ijassa-1393	155	7	kaur	kaur	PROPN
ijassa-1393	155	8	&	&	CCONJ
ijassa-1393	155	9	kaur	kaur	PROPN
ijassa-1393	155	10	,	,	PUNCT
ijassa-1393	155	11	2019	2019	NUM
ijassa-1393	155	12	)	)	PUNCT
ijassa-1393	155	13	has	have	AUX
ijassa-1393	155	14	exposed	expose	VERB
ijassa-1393	155	15	better	well	ADJ
ijassa-1393	155	16	performance	performance	NOUN
ijassa-1393	155	17	,	,	PUNCT
ijassa-1393	155	18	it	it	PRON
ijassa-1393	155	19	still	still	ADV
ijassa-1393	155	20	requires	require	VERB
ijassa-1393	155	21	enhancement	enhancement	NOUN
ijassa-1393	155	22	in	in	ADP
ijassa-1393	155	23	executing	execute	VERB
ijassa-1393	155	24	dl	dl	PROPN
ijassa-1393	155	25	or	or	CCONJ
ijassa-1393	155	26	nn	nn	PROPN
ijassa-1393	155	27	-	-	PUNCT
ijassa-1393	155	28	based	base	VERB
ijassa-1393	155	29	methods	method	NOUN
ijassa-1393	155	30	.	.	PUNCT
ijassa-1393	156	1	in	in	ADP
ijassa-1393	156	2	the	the	DET
ijassa-1393	156	3	future	future	NOUN
ijassa-1393	156	4	,	,	PUNCT
ijassa-1393	156	5	the	the	DET
ijassa-1393	156	6	existing	exist	VERB
ijassa-1393	156	7	limitation	limitation	NOUN
ijassa-1393	156	8	has	have	VERB
ijassa-1393	156	9	to	to	PART
ijassa-1393	156	10	be	be	AUX
ijassa-1393	156	11	resolved	resolve	VERB
ijassa-1393	156	12	by	by	ADP
ijassa-1393	156	13	retrieving	retrieve	VERB
ijassa-1393	156	14	suitable	suitable	ADJ
ijassa-1393	156	15	cultivated	cultivate	VERB
ijassa-1393	156	16	features	feature	NOUN
ijassa-1393	156	17	and	and	CCONJ
ijassa-1393	156	18	executing	execute	VERB
ijassa-1393	156	19	an	an	DET
ijassa-1393	156	20	enhanced	enhanced	ADJ
ijassa-1393	156	21	classifier	classifier	NOUN
ijassa-1393	156	22	or	or	CCONJ
ijassa-1393	156	23	hybrid	hybrid	NOUN
ijassa-1393	156	24	classifier	classifier	NOUN
ijassa-1393	156	25	.	.	PUNCT
ijassa-1393	157	1	lastly	lastly	ADV
ijassa-1393	157	2	,	,	PUNCT
ijassa-1393	157	3	the	the	DET
ijassa-1393	157	4	plant	plant	NOUN
ijassa-1393	157	5	species	specie	NOUN
ijassa-1393	157	6	have	have	VERB
ijassa-1393	157	7	to	to	PART
ijassa-1393	157	8	be	be	AUX
ijassa-1393	157	9	identified	identify	VERB
ijassa-1393	157	10	by	by	ADP
ijassa-1393	157	11	considering	consider	VERB
ijassa-1393	157	12	a	a	DET
ijassa-1393	157	13	real	real	ADJ
ijassa-1393	157	14	-	-	PUNCT
ijassa-1393	157	15	time	time	NOUN
ijassa-1393	157	16	dataset	dataset	NOUN
ijassa-1393	157	17	.	.	PUNCT
ijassa-1393	158	1	3	3	X
ijassa-1393	158	2	.	.	NUM
ijassa-1393	158	3	proposed	propose	VERB
ijassa-1393	158	4	methodology	methodology	NOUN
ijassa-1393	158	5	the	the	DET
ijassa-1393	158	6	research	research	NOUN
ijassa-1393	158	7	attempts	attempt	VERB
ijassa-1393	158	8	to	to	PART
ijassa-1393	158	9	classify	classify	VERB
ijassa-1393	158	10	all	all	DET
ijassa-1393	158	11	plants	plant	NOUN
ijassa-1393	158	12	and	and	CCONJ
ijassa-1393	158	13	piper	piper	NOUN
ijassa-1393	158	14	plant	plant	NOUN
ijassa-1393	158	15	species	specie	NOUN
ijassa-1393	158	16	based	base	VERB
ijassa-1393	158	17	on	on	ADP
ijassa-1393	158	18	suitable	suitable	ADJ
ijassa-1393	158	19	ml	ml	NOUN
ijassa-1393	158	20	and	and	CCONJ
ijassa-1393	158	21	dl	dl	NOUN
ijassa-1393	158	22	-	-	PUNCT
ijassa-1393	158	23	based	base	VERB
ijassa-1393	158	24	feature	feature	NOUN
ijassa-1393	158	25	extraction	extraction	NOUN
ijassa-1393	158	26	and	and	CCONJ
ijassa-1393	158	27	classification	classification	NOUN
ijassa-1393	158	28	.	.	PUNCT
ijassa-1393	159	1	though	though	SCONJ
ijassa-1393	159	2	existing	existing	ADJ
ijassa-1393	159	3	studies	study	NOUN
ijassa-1393	159	4	have	have	AUX
ijassa-1393	159	5	tried	try	VERB
ijassa-1393	159	6	to	to	PART
ijassa-1393	159	7	perform	perform	VERB
ijassa-1393	159	8	this	this	DET
ijassa-1393	159	9	prediction	prediction	NOUN
ijassa-1393	159	10	,	,	PUNCT
ijassa-1393	159	11	they	they	PRON
ijassa-1393	159	12	need	need	VERB
ijassa-1393	159	13	to	to	PART
ijassa-1393	159	14	be	be	AUX
ijassa-1393	159	15	more	more	ADV
ijassa-1393	159	16	accurate	accurate	ADJ
ijassa-1393	159	17	.	.	PUNCT
ijassa-1393	160	1	hence	hence	ADV
ijassa-1393	160	2	,	,	PUNCT
ijassa-1393	160	3	this	this	DET
ijassa-1393	160	4	study	study	NOUN
ijassa-1393	160	5	intends	intend	VERB
ijassa-1393	160	6	to	to	PART
ijassa-1393	160	7	resolve	resolve	VERB
ijassa-1393	160	8	the	the	DET
ijassa-1393	160	9	existing	exist	VERB
ijassa-1393	160	10	pitfalls	pitfall	NOUN
ijassa-1393	160	11	by	by	ADP
ijassa-1393	160	12	proposing	propose	VERB
ijassa-1393	160	13	methods	method	NOUN
ijassa-1393	160	14	,	,	PUNCT
ijassa-1393	160	15	and	and	CCONJ
ijassa-1393	160	16	its	its	PRON
ijassa-1393	160	17	sequential	sequential	ADJ
ijassa-1393	160	18	processes	process	NOUN
ijassa-1393	160	19	are	be	AUX
ijassa-1393	160	20	shown	show	VERB
ijassa-1393	160	21	in	in	ADP
ijassa-1393	160	22	figure	figure	NOUN
ijassa-1393	160	23	1	1	NUM
ijassa-1393	160	24	and	and	CCONJ
ijassa-1393	160	25	figure	figure	VERB
ijassa-1393	160	26	2	2	NUM
ijassa-1393	160	27	.	.	PUNCT
ijassa-1393	160	28	deep	deep	ADJ
ijassa-1393	160	29	feature	feature	NOUN
ijassa-1393	160	30	extraction	extraction	NOUN
ijassa-1393	160	31	and	and	CCONJ
ijassa-1393	160	32	weight	weight	NOUN
ijassa-1393	160	33	updated	update	VERB
ijassa-1393	160	34	tuned	tune	VERB
ijassa-1393	160	35	random	random	ADJ
ijassa-1393	160	36	forest	forest	NOUN
ijassa-1393	160	37	…	…	PUNCT
ijassa-1393	160	38	133	133	NUM
ijassa-1393	160	39	copyright	copyright	NOUN
ijassa-1393	160	40	©	©	PROPN
ijassa-1393	160	41	2023	2023	NUM
ijassa-1393	160	42	assa	assa	NOUN
ijassa-1393	160	43	.	.	PUNCT
ijassa-1393	161	1	adv	adv	PROPN
ijassa-1393	161	2	.	.	PUNCT
ijassa-1393	162	1	in	in	ADP
ijassa-1393	162	2	systems	system	NOUN
ijassa-1393	162	3	science	science	NOUN
ijassa-1393	162	4	and	and	CCONJ
ijassa-1393	162	5	appl	appl	NOUN
ijassa-1393	162	6	.	.	PUNCT
ijassa-1393	163	1	(	(	PUNCT
ijassa-1393	163	2	2023	2023	NUM
ijassa-1393	163	3	)	)	PUNCT
ijassa-1393	163	4	load	load	VERB
ijassa-1393	163	5	the	the	DET
ijassa-1393	163	6	data	datum	NOUN
ijassa-1393	163	7	preprocessing	preprocesse	VERB
ijassa-1393	163	8	feature	feature	NOUN
ijassa-1393	163	9	extraction	extraction	NOUN
ijassa-1393	163	10	cnn	cnn	PROPN
ijassa-1393	163	11	layer	layer	NOUN
ijassa-1393	163	12	pooling	pool	VERB
ijassa-1393	163	13	pooling	pool	VERB
ijassa-1393	163	14	pooling	pool	VERB
ijassa-1393	163	15	pooling	pool	VERB
ijassa-1393	163	16	relu	relu	NOUN
ijassa-1393	163	17	dense	dense	ADJ
ijassa-1393	163	18	cnn	cnn	PROPN
ijassa-1393	163	19	layer	layer	NOUN
ijassa-1393	163	20	pooling	pool	VERB
ijassa-1393	163	21	dense	dense	ADJ
ijassa-1393	163	22	pooling	pool	VERB
ijassa-1393	163	23	pooling	pool	VERB
ijassa-1393	163	24	relu	relu	NOUN
ijassa-1393	163	25	extracted	extract	VERB
ijassa-1393	163	26	features	feature	NOUN
ijassa-1393	163	27	principle	principle	ADJ
ijassa-1393	163	28	component	component	NOUN
ijassa-1393	163	29	analysis	analysis	NOUN
ijassa-1393	163	30	train	train	NOUN
ijassa-1393	163	31	test	test	NOUN
ijassa-1393	163	32	split	split	VERB
ijassa-1393	163	33	classification	classification	NOUN
ijassa-1393	163	34	weight	weight	NOUN
ijassa-1393	163	35	updated	update	VERB
ijassa-1393	163	36	tuned	tune	VERB
ijassa-1393	163	37	random	random	ADJ
ijassa-1393	163	38	forest	forest	NOUN
ijassa-1393	163	39	trained	train	VERB
ijassa-1393	163	40	model	model	NOUN
ijassa-1393	163	41	prediction	prediction	NOUN
ijassa-1393	163	42	phase	phase	NOUN
ijassa-1393	163	43	performance	performance	NOUN
ijassa-1393	163	44	metrics	metric	NOUN
ijassa-1393	163	45	all	all	DET
ijassa-1393	163	46	plants	plant	NOUN
ijassa-1393	163	47	dataset	dataset	VERB
ijassa-1393	163	48	deep	deep	ADJ
ijassa-1393	163	49	cnn	cnn	PROPN
ijassa-1393	164	1	inception	inception	PROPN
ijassa-1393	164	2	v3	v3	PROPN
ijassa-1393	164	3	feature	feature	NOUN
ijassa-1393	164	4	fusion	fusion	NOUN
ijassa-1393	164	5	fused	fuse	VERB
ijassa-1393	164	6	features	feature	NOUN
ijassa-1393	164	7	hyperparameter	hyperparameter	NOUN
ijassa-1393	164	8	tuning	tune	VERB
ijassa-1393	164	9	with	with	ADP
ijassa-1393	164	10	weighted	weighted	ADJ
ijassa-1393	164	11	k	k	PROPN
ijassa-1393	164	12	–	–	PUNCT
ijassa-1393	164	13	fold	fold	VERB
ijassa-1393	164	14	cross	cross	ADJ
ijassa-1393	164	15	validation	validation	NOUN
ijassa-1393	164	16	convolutional	convolutional	ADJ
ijassa-1393	164	17	likelihood	likelihood	NOUN
ijassa-1393	164	18	weight	weight	NOUN
ijassa-1393	164	19	predicts	predict	NOUN
ijassa-1393	164	20	type	type	NOUN
ijassa-1393	164	21	of	of	ADP
ijassa-1393	164	22	plant	plant	NOUN
ijassa-1393	164	23	figure	figure	NOUN
ijassa-1393	164	24	1	1	NUM
ijassa-1393	164	25	.	.	PUNCT
ijassa-1393	165	1	overall	overall	ADJ
ijassa-1393	165	2	view	view	NOUN
ijassa-1393	165	3	of	of	ADP
ijassa-1393	165	4	the	the	DET
ijassa-1393	165	5	proposed	propose	VERB
ijassa-1393	165	6	work	work	NOUN
ijassa-1393	165	7	for	for	ADP
ijassa-1393	165	8	all	all	DET
ijassa-1393	165	9	plants	plant	NOUN
ijassa-1393	165	10	classification	classification	NOUN
ijassa-1393	165	11	as	as	SCONJ
ijassa-1393	165	12	described	describe	VERB
ijassa-1393	165	13	in	in	ADP
ijassa-1393	165	14	figure	figure	NOUN
ijassa-1393	165	15	1	1	NUM
ijassa-1393	165	16	,	,	PUNCT
ijassa-1393	165	17	the	the	DET
ijassa-1393	165	18	dataset	dataset	NOUN
ijassa-1393	165	19	is	be	AUX
ijassa-1393	165	20	initially	initially	ADV
ijassa-1393	165	21	loaded	load	VERB
ijassa-1393	165	22	.	.	PUNCT
ijassa-1393	166	1	following	follow	VERB
ijassa-1393	166	2	this	this	PRON
ijassa-1393	166	3	,	,	PUNCT
ijassa-1393	166	4	pre	pre	ADJ
ijassa-1393	166	5	-	-	ADJ
ijassa-1393	166	6	processing	processing	NOUN
ijassa-1393	166	7	is	be	AUX
ijassa-1393	166	8	performed	perform	VERB
ijassa-1393	166	9	to	to	PART
ijassa-1393	166	10	eliminate	eliminate	VERB
ijassa-1393	166	11	irrelevant	irrelevant	ADJ
ijassa-1393	166	12	and	and	CCONJ
ijassa-1393	166	13	unwanted	unwanted	ADJ
ijassa-1393	166	14	redundant	redundant	ADJ
ijassa-1393	166	15	data	datum	NOUN
ijassa-1393	166	16	to	to	PART
ijassa-1393	166	17	improvise	improvise	VERB
ijassa-1393	166	18	further	further	ADJ
ijassa-1393	166	19	processing	processing	NOUN
ijassa-1393	166	20	.	.	PUNCT
ijassa-1393	167	1	then	then	ADV
ijassa-1393	167	2	,	,	PUNCT
ijassa-1393	167	3	significant	significant	ADJ
ijassa-1393	167	4	features	feature	NOUN
ijassa-1393	167	5	are	be	AUX
ijassa-1393	167	6	extracted	extract	VERB
ijassa-1393	167	7	by	by	ADP
ijassa-1393	167	8	deep	deep	ADJ
ijassa-1393	167	9	cnn	cnn	PROPN
ijassa-1393	167	10	and	and	CCONJ
ijassa-1393	167	11	inception	inception	PROPN
ijassa-1393	167	12	v3	v3	PROPN
ijassa-1393	167	13	.	.	PUNCT
ijassa-1393	168	1	this	this	DET
ijassa-1393	168	2	phase	phase	NOUN
ijassa-1393	168	3	assists	assist	VERB
ijassa-1393	168	4	in	in	ADP
ijassa-1393	168	5	constructing	construct	VERB
ijassa-1393	168	6	the	the	DET
ijassa-1393	168	7	proposed	propose	VERB
ijassa-1393	168	8	model	model	NOUN
ijassa-1393	168	9	with	with	ADP
ijassa-1393	168	10	minimum	minimum	ADJ
ijassa-1393	168	11	machine	machine	NOUN
ijassa-1393	168	12	effort	effort	NOUN
ijassa-1393	168	13	and	and	CCONJ
ijassa-1393	168	14	enhances	enhance	VERB
ijassa-1393	168	15	the	the	DET
ijassa-1393	168	16	learning	learning	NOUN
ijassa-1393	168	17	speed	speed	NOUN
ijassa-1393	168	18	and	and	CCONJ
ijassa-1393	168	19	generalization	generalization	NOUN
ijassa-1393	168	20	stages	stage	NOUN
ijassa-1393	168	21	in	in	ADP
ijassa-1393	168	22	the	the	DET
ijassa-1393	168	23	ml	ml	NOUN
ijassa-1393	168	24	process	process	NOUN
ijassa-1393	168	25	.	.	PUNCT
ijassa-1393	169	1	extracted	extract	VERB
ijassa-1393	169	2	features	feature	NOUN
ijassa-1393	169	3	are	be	AUX
ijassa-1393	169	4	then	then	ADV
ijassa-1393	169	5	fused	fuse	VERB
ijassa-1393	169	6	using	use	VERB
ijassa-1393	169	7	pca	pca	PROPN
ijassa-1393	169	8	(	(	PUNCT
ijassa-1393	169	9	principle	principle	NOUN
ijassa-1393	169	10	component	component	NOUN
ijassa-1393	169	11	analysis	analysis	NOUN
ijassa-1393	169	12	)	)	PUNCT
ijassa-1393	169	13	.	.	PUNCT
ijassa-1393	170	1	this	this	DET
ijassa-1393	170	2	stage	stage	NOUN
ijassa-1393	170	3	tries	try	VERB
ijassa-1393	170	4	to	to	PART
ijassa-1393	170	5	extract	extract	VERB
ijassa-1393	170	6	highly	highly	ADV
ijassa-1393	170	7	discriminative	discriminative	ADJ
ijassa-1393	170	8	information	information	NOUN
ijassa-1393	170	9	from	from	ADP
ijassa-1393	170	10	various	various	ADJ
ijassa-1393	170	11	input	input	NOUN
ijassa-1393	170	12	features	feature	NOUN
ijassa-1393	170	13	,	,	PUNCT
ijassa-1393	170	14	thereby	thereby	ADV
ijassa-1393	170	15	avoiding	avoid	VERB
ijassa-1393	170	16	redundant	redundant	ADJ
ijassa-1393	170	17	information	information	NOUN
ijassa-1393	170	18	.	.	PUNCT
ijassa-1393	171	1	the	the	DET
ijassa-1393	171	2	fused	fuse	VERB
ijassa-1393	171	3	features	feature	NOUN
ijassa-1393	171	4	are	be	AUX
ijassa-1393	171	5	then	then	ADV
ijassa-1393	171	6	fed	feed	VERB
ijassa-1393	171	7	into	into	ADP
ijassa-1393	171	8	the	the	DET
ijassa-1393	171	9	train	train	NOUN
ijassa-1393	171	10	and	and	CCONJ
ijassa-1393	171	11	test	test	NOUN
ijassa-1393	171	12	split	split	VERB
ijassa-1393	171	13	for	for	ADP
ijassa-1393	171	14	classification	classification	NOUN
ijassa-1393	171	15	.	.	PUNCT
ijassa-1393	172	1	in	in	ADP
ijassa-1393	172	2	this	this	DET
ijassa-1393	172	3	phase	phase	NOUN
ijassa-1393	172	4	,	,	PUNCT
ijassa-1393	172	5	wut	wut	PROPN
ijassa-1393	172	6	-	-	PUNCT
ijassa-1393	172	7	rf	rf	PRON
ijassa-1393	172	8	is	be	AUX
ijassa-1393	172	9	used	use	VERB
ijassa-1393	172	10	for	for	ADP
ijassa-1393	172	11	classification	classification	NOUN
ijassa-1393	172	12	,	,	PUNCT
ijassa-1393	172	13	wherein	wherein	SCONJ
ijassa-1393	172	14	hyperparameter	hyperparameter	NOUN
ijassa-1393	172	15	tuning	tuning	NOUN
ijassa-1393	172	16	is	be	AUX
ijassa-1393	172	17	performed	perform	VERB
ijassa-1393	172	18	with	with	ADP
ijassa-1393	172	19	the	the	DET
ijassa-1393	172	20	convolutional	convolutional	ADJ
ijassa-1393	172	21	likelihood	likelihood	NOUN
ijassa-1393	172	22	weight	weight	NOUN
ijassa-1393	172	23	.	.	PUNCT
ijassa-1393	173	1	finally	finally	ADV
ijassa-1393	173	2	,	,	PUNCT
ijassa-1393	173	3	the	the	DET
ijassa-1393	173	4	kind	kind	NOUN
ijassa-1393	173	5	of	of	ADP
ijassa-1393	173	6	plant	plant	NOUN
ijassa-1393	173	7	is	be	AUX
ijassa-1393	173	8	predicted	predict	VERB
ijassa-1393	173	9	by	by	ADP
ijassa-1393	173	10	the	the	DET
ijassa-1393	173	11	trained	train	VERB
ijassa-1393	173	12	model	model	NOUN
ijassa-1393	173	13	,	,	PUNCT
ijassa-1393	173	14	and	and	CCONJ
ijassa-1393	173	15	the	the	DET
ijassa-1393	173	16	efficacy	efficacy	NOUN
ijassa-1393	173	17	of	of	ADP
ijassa-1393	173	18	the	the	DET
ijassa-1393	173	19	proposed	propose	VERB
ijassa-1393	173	20	system	system	NOUN
ijassa-1393	173	21	is	be	AUX
ijassa-1393	173	22	assessed	assess	VERB
ijassa-1393	173	23	through	through	ADP
ijassa-1393	173	24	performance	performance	NOUN
ijassa-1393	173	25	metrics	metric	NOUN
ijassa-1393	173	26	.	.	PUNCT
ijassa-1393	174	1	further	far	ADV
ijassa-1393	174	2	,	,	PUNCT
ijassa-1393	174	3	the	the	DET
ijassa-1393	174	4	piper	piper	NOUN
ijassa-1393	174	5	plant	plant	NOUN
ijassa-1393	174	6	classification	classification	NOUN
ijassa-1393	174	7	is	be	AUX
ijassa-1393	174	8	performed	perform	VERB
ijassa-1393	174	9	based	base	VERB
ijassa-1393	174	10	on	on	ADP
ijassa-1393	174	11	the	the	DET
ijassa-1393	174	12	sequential	sequential	ADJ
ijassa-1393	174	13	process	process	NOUN
ijassa-1393	174	14	,	,	PUNCT
ijassa-1393	174	15	as	as	SCONJ
ijassa-1393	174	16	shown	show	VERB
ijassa-1393	174	17	in	in	ADP
ijassa-1393	174	18	figure	figure	NOUN
ijassa-1393	174	19	2	2	NUM
ijassa-1393	174	20	.	.	NOUN
ijassa-1393	174	21	134	134	NUM
ijassa-1393	174	22	i.	i.	PROPN
ijassa-1393	174	23	petrov	petrov	PROPN
ijassa-1393	174	24	,	,	PUNCT
ijassa-1393	174	25	j.f	j.f	PROPN
ijassa-1393	174	26	.	.	PROPN
ijassa-1393	174	27	doe	doe	NOUN
ijassa-1393	174	28	copyright	copyright	NOUN
ijassa-1393	174	29	©	©	PROPN
ijassa-1393	174	30	2023	2023	NUM
ijassa-1393	174	31	assa	assa	PROPN
ijassa-1393	174	32	adv	adv	PROPN
ijassa-1393	174	33	.	.	PUNCT
ijassa-1393	175	1	in	in	ADP
ijassa-1393	175	2	systems	system	NOUN
ijassa-1393	175	3	science	science	NOUN
ijassa-1393	175	4	and	and	CCONJ
ijassa-1393	175	5	appl	appl	NOUN
ijassa-1393	175	6	.	.	PUNCT
ijassa-1393	176	1	(	(	PUNCT
ijassa-1393	176	2	2023	2023	NUM
ijassa-1393	176	3	)	)	PUNCT
ijassa-1393	176	4	load	load	VERB
ijassa-1393	176	5	the	the	DET
ijassa-1393	176	6	data	datum	NOUN
ijassa-1393	176	7	preprocessing	preprocesse	VERB
ijassa-1393	176	8	feature	feature	NOUN
ijassa-1393	176	9	extraction	extraction	NOUN
ijassa-1393	176	10	cnn	cnn	PROPN
ijassa-1393	176	11	layer	layer	NOUN
ijassa-1393	176	12	pooling	pool	VERB
ijassa-1393	176	13	pooling	pool	VERB
ijassa-1393	176	14	pooling	pool	VERB
ijassa-1393	176	15	pooling	pool	VERB
ijassa-1393	176	16	relu	relu	NOUN
ijassa-1393	176	17	dense	dense	ADJ
ijassa-1393	176	18	cnn	cnn	PROPN
ijassa-1393	176	19	layer	layer	NOUN
ijassa-1393	176	20	pooling	pool	VERB
ijassa-1393	176	21	dense	dense	ADJ
ijassa-1393	176	22	pooling	pool	VERB
ijassa-1393	176	23	pooling	pool	VERB
ijassa-1393	176	24	relu	relu	NOUN
ijassa-1393	176	25	extracted	extract	VERB
ijassa-1393	176	26	features	feature	NOUN
ijassa-1393	176	27	principle	principle	ADJ
ijassa-1393	176	28	component	component	NOUN
ijassa-1393	176	29	analysis	analysis	NOUN
ijassa-1393	176	30	train	train	NOUN
ijassa-1393	176	31	test	test	NOUN
ijassa-1393	176	32	split	split	VERB
ijassa-1393	176	33	classification	classification	NOUN
ijassa-1393	176	34	weight	weight	NOUN
ijassa-1393	176	35	updated	update	VERB
ijassa-1393	176	36	tuned	tune	VERB
ijassa-1393	176	37	random	random	ADJ
ijassa-1393	176	38	forest	forest	NOUN
ijassa-1393	176	39	trained	train	VERB
ijassa-1393	176	40	model	model	NOUN
ijassa-1393	176	41	prediction	prediction	NOUN
ijassa-1393	176	42	phase	phase	NOUN
ijassa-1393	176	43	performance	performance	NOUN
ijassa-1393	176	44	metrics	metric	NOUN
ijassa-1393	176	45	piper	piper	NOUN
ijassa-1393	176	46	plant	plant	NOUN
ijassa-1393	176	47	dataset	dataset	VERB
ijassa-1393	176	48	deep	deep	ADJ
ijassa-1393	176	49	cnn	cnn	PROPN
ijassa-1393	176	50	vgg16	vgg16	NOUN
ijassa-1393	176	51	feature	feature	NOUN
ijassa-1393	176	52	fusion	fusion	NOUN
ijassa-1393	176	53	fused	fuse	VERB
ijassa-1393	177	1	features	feature	NOUN
ijassa-1393	177	2	hyperparameter	hyperparameter	NOUN
ijassa-1393	177	3	tuning	tune	VERB
ijassa-1393	177	4	with	with	ADP
ijassa-1393	177	5	weighted	weighted	ADJ
ijassa-1393	177	6	k	k	PROPN
ijassa-1393	177	7	–	–	PUNCT
ijassa-1393	177	8	fold	fold	VERB
ijassa-1393	177	9	cross	cross	ADJ
ijassa-1393	177	10	validation	validation	NOUN
ijassa-1393	177	11	convolutional	convolutional	ADJ
ijassa-1393	177	12	likelihood	likelihood	NOUN
ijassa-1393	177	13	weight	weight	NOUN
ijassa-1393	177	14	predicts	predict	NOUN
ijassa-1393	177	15	type	type	NOUN
ijassa-1393	177	16	of	of	ADP
ijassa-1393	177	17	piper	piper	NOUN
ijassa-1393	177	18	plant	plant	NOUN
ijassa-1393	177	19	figure	figure	NOUN
ijassa-1393	177	20	2	2	NUM
ijassa-1393	177	21	.	.	PUNCT
ijassa-1393	177	22	overall	overall	ADJ
ijassa-1393	177	23	view	view	NOUN
ijassa-1393	177	24	of	of	ADP
ijassa-1393	177	25	the	the	DET
ijassa-1393	177	26	proposed	propose	VERB
ijassa-1393	177	27	work	work	NOUN
ijassa-1393	177	28	for	for	ADP
ijassa-1393	177	29	piper	piper	NOUN
ijassa-1393	177	30	plants	plant	NOUN
ijassa-1393	177	31	classification	classification	NOUN
ijassa-1393	177	32	as	as	SCONJ
ijassa-1393	177	33	shown	show	VERB
ijassa-1393	177	34	in	in	ADP
ijassa-1393	177	35	figure	figure	NOUN
ijassa-1393	177	36	2	2	NUM
ijassa-1393	177	37	,	,	PUNCT
ijassa-1393	177	38	the	the	DET
ijassa-1393	177	39	dataset	dataset	NOUN
ijassa-1393	177	40	is	be	AUX
ijassa-1393	177	41	initially	initially	ADV
ijassa-1393	177	42	loaded	load	VERB
ijassa-1393	177	43	,	,	PUNCT
ijassa-1393	177	44	and	and	CCONJ
ijassa-1393	177	45	pre	pre	ADJ
ijassa-1393	177	46	-	-	ADJ
ijassa-1393	177	47	processing	processing	NOUN
ijassa-1393	177	48	is	be	AUX
ijassa-1393	177	49	undertaken	undertake	VERB
ijassa-1393	177	50	to	to	PART
ijassa-1393	177	51	eliminate	eliminate	VERB
ijassa-1393	177	52	irrelevant	irrelevant	ADJ
ijassa-1393	177	53	data	datum	NOUN
ijassa-1393	177	54	.	.	PUNCT
ijassa-1393	178	1	subsequently	subsequently	ADV
ijassa-1393	178	2	,	,	PUNCT
ijassa-1393	178	3	feature	feature	NOUN
ijassa-1393	178	4	extraction	extraction	NOUN
ijassa-1393	178	5	is	be	AUX
ijassa-1393	178	6	performed	perform	VERB
ijassa-1393	178	7	by	by	ADP
ijassa-1393	178	8	deep	deep	ADJ
ijassa-1393	178	9	cnn	cnn	PROPN
ijassa-1393	178	10	and	and	CCONJ
ijassa-1393	178	11	vgg16	vgg16	PROPN
ijassa-1393	178	12	,	,	PUNCT
ijassa-1393	178	13	wherein	wherein	SCONJ
ijassa-1393	178	14	relevant	relevant	ADJ
ijassa-1393	178	15	features	feature	NOUN
ijassa-1393	178	16	are	be	AUX
ijassa-1393	178	17	attained	attain	VERB
ijassa-1393	178	18	,	,	PUNCT
ijassa-1393	178	19	and	and	CCONJ
ijassa-1393	178	20	then	then	ADV
ijassa-1393	178	21	feature	feature	NOUN
ijassa-1393	178	22	fusion	fusion	NOUN
ijassa-1393	178	23	is	be	AUX
ijassa-1393	178	24	undertaken	undertake	VERB
ijassa-1393	178	25	by	by	ADP
ijassa-1393	178	26	pca	pca	PROPN
ijassa-1393	178	27	.	.	PUNCT
ijassa-1393	179	1	lastly	lastly	ADV
ijassa-1393	179	2	,	,	PUNCT
ijassa-1393	179	3	piper	piper	NOUN
ijassa-1393	179	4	plant	plant	NOUN
ijassa-1393	179	5	species	species	NOUN
ijassa-1393	179	6	classification	classification	NOUN
ijassa-1393	179	7	is	be	AUX
ijassa-1393	179	8	accomplished	accomplish	VERB
ijassa-1393	179	9	by	by	ADP
ijassa-1393	179	10	wut	wut	PROPN
ijassa-1393	179	11	-	-	PUNCT
ijassa-1393	179	12	rf	rf	NOUN
ijassa-1393	179	13	,	,	PUNCT
ijassa-1393	179	14	and	and	CCONJ
ijassa-1393	179	15	the	the	DET
ijassa-1393	179	16	performance	performance	NOUN
ijassa-1393	179	17	of	of	ADP
ijassa-1393	179	18	this	this	DET
ijassa-1393	179	19	stage	stage	NOUN
ijassa-1393	179	20	is	be	AUX
ijassa-1393	179	21	assessed	assess	VERB
ijassa-1393	179	22	through	through	ADP
ijassa-1393	179	23	performance	performance	NOUN
ijassa-1393	179	24	metrics	metric	NOUN
ijassa-1393	179	25	.	.	PUNCT
ijassa-1393	180	1	the	the	DET
ijassa-1393	180	2	overall	overall	ADJ
ijassa-1393	180	3	flow	flow	NOUN
ijassa-1393	180	4	of	of	ADP
ijassa-1393	180	5	the	the	DET
ijassa-1393	180	6	present	present	ADJ
ijassa-1393	180	7	research	research	NOUN
ijassa-1393	180	8	is	be	AUX
ijassa-1393	180	9	explored	explore	VERB
ijassa-1393	180	10	in	in	ADP
ijassa-1393	180	11	figure	figure	NOUN
ijassa-1393	180	12	3	3	NUM
ijassa-1393	180	13	.	.	PUNCT
ijassa-1393	180	14	load	load	VERB
ijassa-1393	180	15	the	the	DET
ijassa-1393	180	16	data	datum	NOUN
ijassa-1393	180	17	preprocessing	preprocesse	VERB
ijassa-1393	180	18	feature	feature	NOUN
ijassa-1393	180	19	extraction	extraction	NOUN
ijassa-1393	180	20	image	image	NOUN
ijassa-1393	180	21	proposed	propose	VERB
ijassa-1393	180	22	algorithm	algorithm	NOUN
ijassa-1393	180	23	extracted	extract	VERB
ijassa-1393	180	24	features	feature	NOUN
ijassa-1393	180	25	prediction	prediction	NOUN
ijassa-1393	180	26	1	1	NUM
ijassa-1393	180	27	predicts	predict	VERB
ijassa-1393	180	28	the	the	DET
ijassa-1393	180	29	type	type	NOUN
ijassa-1393	180	30	of	of	ADP
ijassa-1393	180	31	plant	plant	NOUN
ijassa-1393	180	32	if	if	SCONJ
ijassa-1393	180	33	piper	piper	NOUN
ijassa-1393	180	34	plant	plant	NOUN
ijassa-1393	180	35	prediction	prediction	NOUN
ijassa-1393	180	36	2	2	NUM
ijassa-1393	180	37	predicts	predict	VERB
ijassa-1393	180	38	the	the	DET
ijassa-1393	180	39	type	type	NOUN
ijassa-1393	180	40	of	of	ADP
ijassa-1393	180	41	piper	piper	NOUN
ijassa-1393	180	42	plant	plant	NOUN
ijassa-1393	180	43	display	display	NOUN
ijassa-1393	180	44	result	result	NOUN
ijassa-1393	180	45	display	display	NOUN
ijassa-1393	180	46	result	result	VERB
ijassa-1393	181	1	yes	yes	INTJ
ijassa-1393	181	2	no	no	DET
ijassa-1393	181	3	figure	figure	NOUN
ijassa-1393	181	4	3	3	NUM
ijassa-1393	181	5	.	.	PUNCT
ijassa-1393	182	1	overall	overall	ADJ
ijassa-1393	182	2	proposed	propose	VERB
ijassa-1393	182	3	flow	flow	NOUN
ijassa-1393	182	4	as	as	SCONJ
ijassa-1393	182	5	shown	show	VERB
ijassa-1393	182	6	in	in	ADP
ijassa-1393	182	7	figure	figure	NOUN
ijassa-1393	182	8	3	3	NUM
ijassa-1393	182	9	,	,	PUNCT
ijassa-1393	182	10	the	the	DET
ijassa-1393	182	11	dataset	dataset	NOUN
ijassa-1393	182	12	is	be	AUX
ijassa-1393	182	13	loaded	load	VERB
ijassa-1393	182	14	,	,	PUNCT
ijassa-1393	182	15	and	and	CCONJ
ijassa-1393	182	16	pre	pre	ADJ
ijassa-1393	182	17	-	-	ADJ
ijassa-1393	182	18	processing	processing	NOUN
ijassa-1393	182	19	is	be	AUX
ijassa-1393	182	20	performed	perform	VERB
ijassa-1393	182	21	.	.	PUNCT
ijassa-1393	183	1	then	then	ADV
ijassa-1393	183	2	,	,	PUNCT
ijassa-1393	183	3	feature	feature	NOUN
ijassa-1393	183	4	extraction	extraction	NOUN
ijassa-1393	183	5	is	be	AUX
ijassa-1393	183	6	undertaken	undertake	VERB
ijassa-1393	183	7	by	by	ADP
ijassa-1393	183	8	the	the	DET
ijassa-1393	183	9	proposed	propose	VERB
ijassa-1393	183	10	algorithm	algorithm	NOUN
ijassa-1393	183	11	.	.	PUNCT
ijassa-1393	184	1	based	base	VERB
ijassa-1393	184	2	on	on	ADP
ijassa-1393	184	3	the	the	DET
ijassa-1393	184	4	extracted	extract	VERB
ijassa-1393	184	5	features	feature	NOUN
ijassa-1393	184	6	,	,	PUNCT
ijassa-1393	184	7	deep	deep	ADJ
ijassa-1393	184	8	feature	feature	NOUN
ijassa-1393	184	9	extraction	extraction	NOUN
ijassa-1393	184	10	and	and	CCONJ
ijassa-1393	184	11	weight	weight	NOUN
ijassa-1393	184	12	updated	update	VERB
ijassa-1393	184	13	tuned	tune	VERB
ijassa-1393	184	14	random	random	ADJ
ijassa-1393	184	15	forest	forest	NOUN
ijassa-1393	184	16	…	…	PUNCT
ijassa-1393	184	17	135	135	NUM
ijassa-1393	184	18	copyright	copyright	NOUN
ijassa-1393	184	19	©	©	PROPN
ijassa-1393	184	20	2023	2023	NUM
ijassa-1393	184	21	assa	assa	NOUN
ijassa-1393	184	22	.	.	PUNCT
ijassa-1393	185	1	adv	adv	PROPN
ijassa-1393	185	2	.	.	PUNCT
ijassa-1393	186	1	in	in	ADP
ijassa-1393	186	2	systems	system	NOUN
ijassa-1393	186	3	science	science	NOUN
ijassa-1393	186	4	and	and	CCONJ
ijassa-1393	186	5	appl	appl	NOUN
ijassa-1393	186	6	.	.	PUNCT
ijassa-1393	187	1	(	(	PUNCT
ijassa-1393	187	2	2023	2023	NUM
ijassa-1393	187	3	)	)	PUNCT
ijassa-1393	187	4	the	the	DET
ijassa-1393	187	5	type	type	NOUN
ijassa-1393	187	6	of	of	ADP
ijassa-1393	187	7	plant	plant	NOUN
ijassa-1393	187	8	is	be	AUX
ijassa-1393	187	9	predicted	predict	VERB
ijassa-1393	187	10	.	.	PUNCT
ijassa-1393	188	1	for	for	ADP
ijassa-1393	188	2	example	example	NOUN
ijassa-1393	188	3	,	,	PUNCT
ijassa-1393	188	4	if	if	SCONJ
ijassa-1393	188	5	it	it	PRON
ijassa-1393	188	6	is	be	AUX
ijassa-1393	188	7	a	a	DET
ijassa-1393	188	8	piper	piper	NOUN
ijassa-1393	188	9	plant	plant	NOUN
ijassa-1393	188	10	,	,	PUNCT
ijassa-1393	188	11	then	then	ADV
ijassa-1393	188	12	the	the	DET
ijassa-1393	188	13	type	type	NOUN
ijassa-1393	188	14	of	of	ADP
ijassa-1393	188	15	piper	piper	NOUN
ijassa-1393	188	16	plant	plant	NOUN
ijassa-1393	188	17	is	be	AUX
ijassa-1393	188	18	predicted	predict	VERB
ijassa-1393	188	19	.	.	PUNCT
ijassa-1393	189	1	if	if	SCONJ
ijassa-1393	189	2	not	not	PART
ijassa-1393	189	3	,	,	PUNCT
ijassa-1393	189	4	the	the	DET
ijassa-1393	189	5	plant	plant	NOUN
ijassa-1393	189	6	type	type	NOUN
ijassa-1393	189	7	is	be	AUX
ijassa-1393	189	8	displayed	display	VERB
ijassa-1393	189	9	as	as	ADP
ijassa-1393	189	10	an	an	DET
ijassa-1393	189	11	outcome	outcome	NOUN
ijassa-1393	189	12	.	.	PUNCT
ijassa-1393	190	1	3.1	3.1	NUM
ijassa-1393	190	2	.	.	PUNCT
ijassa-1393	191	1	feature	feature	NOUN
ijassa-1393	191	2	extraction	extraction	NOUN
ijassa-1393	191	3	-	-	PUNCT
ijassa-1393	191	4	deep	deep	ADJ
ijassa-1393	191	5	cnn	cnn	PROPN
ijassa-1393	191	6	,	,	PUNCT
ijassa-1393	191	7	inception	inception	PROPN
ijassa-1393	191	8	v3	v3	PROPN
ijassa-1393	191	9	,	,	PUNCT
ijassa-1393	191	10	vgg16	vgg16	NOUN
ijassa-1393	191	11	feature	feature	NOUN
ijassa-1393	191	12	extraction	extraction	NOUN
ijassa-1393	191	13	holds	hold	VERB
ijassa-1393	191	14	significance	significance	NOUN
ijassa-1393	191	15	in	in	ADP
ijassa-1393	191	16	accomplishing	accomplish	VERB
ijassa-1393	191	17	better	well	ADJ
ijassa-1393	191	18	classification	classification	NOUN
ijassa-1393	191	19	performance	performance	NOUN
ijassa-1393	191	20	.	.	PUNCT
ijassa-1393	192	1	the	the	DET
ijassa-1393	192	2	main	main	ADJ
ijassa-1393	192	3	intention	intention	NOUN
ijassa-1393	192	4	of	of	ADP
ijassa-1393	192	5	this	this	DET
ijassa-1393	192	6	process	process	NOUN
ijassa-1393	192	7	lies	lie	VERB
ijassa-1393	192	8	in	in	ADP
ijassa-1393	192	9	determining	determine	VERB
ijassa-1393	192	10	informative	informative	ADJ
ijassa-1393	192	11	and	and	CCONJ
ijassa-1393	192	12	compact	compact	ADJ
ijassa-1393	192	13	feature	feature	NOUN
ijassa-1393	192	14	sets	set	NOUN
ijassa-1393	192	15	for	for	ADP
ijassa-1393	192	16	improving	improve	VERB
ijassa-1393	192	17	classifier	classifier	NOUN
ijassa-1393	192	18	efficacy	efficacy	NOUN
ijassa-1393	192	19	.	.	PUNCT
ijassa-1393	193	1	this	this	DET
ijassa-1393	193	2	study	study	NOUN
ijassa-1393	193	3	proposes	propose	VERB
ijassa-1393	193	4	deep	deep	ADJ
ijassa-1393	193	5	cnn	cnn	PROPN
ijassa-1393	193	6	and	and	CCONJ
ijassa-1393	193	7	inception	inception	PROPN
ijassa-1393	193	8	v3	v3	PROPN
ijassa-1393	193	9	for	for	ADP
ijassa-1393	193	10	all	all	DET
ijassa-1393	193	11	plant	plant	NOUN
ijassa-1393	193	12	species	species	NOUN
ijassa-1393	193	13	classification	classification	NOUN
ijassa-1393	193	14	and	and	CCONJ
ijassa-1393	193	15	deep	deep	ADJ
ijassa-1393	193	16	cnn	cnn	PROPN
ijassa-1393	193	17	with	with	ADP
ijassa-1393	193	18	vgg16	vgg16	PROPN
ijassa-1393	193	19	for	for	ADP
ijassa-1393	193	20	piper	piper	NOUN
ijassa-1393	193	21	plant	plant	NOUN
ijassa-1393	193	22	classification	classification	NOUN
ijassa-1393	193	23	.	.	PUNCT
ijassa-1393	194	1	3.1.1	3.1.1	X
ijassa-1393	194	2	.	.	PUNCT
ijassa-1393	195	1	deep	deep	ADJ
ijassa-1393	195	2	cnn	cnn	PROPN
ijassa-1393	195	3	(	(	PUNCT
ijassa-1393	195	4	deep	deep	ADJ
ijassa-1393	195	5	convolutional	convolutional	ADJ
ijassa-1393	195	6	neural	neural	ADJ
ijassa-1393	195	7	network	network	NOUN
ijassa-1393	195	8	)	)	PUNCT
ijassa-1393	195	9	typically	typically	ADV
ijassa-1393	195	10	,	,	PUNCT
ijassa-1393	195	11	deep	deep	ADJ
ijassa-1393	195	12	cnns	cnn	NOUN
ijassa-1393	195	13	are	be	AUX
ijassa-1393	195	14	ffnns	ffnns	NOUN
ijassa-1393	195	15	(	(	PUNCT
ijassa-1393	195	16	feed	feed	VERB
ijassa-1393	195	17	forward	forward	ADV
ijassa-1393	195	18	neural	neural	ADJ
ijassa-1393	195	19	networks	network	NOUN
ijassa-1393	195	20	)	)	PUNCT
ijassa-1393	195	21	employed	employ	VERB
ijassa-1393	195	22	for	for	ADP
ijassa-1393	195	23	adjusting	adjust	VERB
ijassa-1393	195	24	the	the	DET
ijassa-1393	195	25	parameters	parameter	NOUN
ijassa-1393	195	26	encompassing	encompass	VERB
ijassa-1393	195	27	biases	bias	NOUN
ijassa-1393	195	28	and	and	CCONJ
ijassa-1393	195	29	weights	weight	NOUN
ijassa-1393	195	30	of	of	ADP
ijassa-1393	195	31	nn	nn	NOUN
ijassa-1393	195	32	to	to	PART
ijassa-1393	195	33	minimize	minimize	VERB
ijassa-1393	195	34	the	the	DET
ijassa-1393	195	35	cost	cost	NOUN
ijassa-1393	195	36	-	-	PUNCT
ijassa-1393	195	37	functional	functional	ADJ
ijassa-1393	195	38	value	value	NOUN
ijassa-1393	195	39	.	.	PUNCT
ijassa-1393	196	1	the	the	DET
ijassa-1393	196	2	process	process	NOUN
ijassa-1393	196	3	involved	involve	VERB
ijassa-1393	196	4	in	in	ADP
ijassa-1393	196	5	extracting	extract	VERB
ijassa-1393	196	6	image	image	NOUN
ijassa-1393	196	7	features	feature	NOUN
ijassa-1393	196	8	from	from	ADP
ijassa-1393	196	9	deep	deep	ADJ
ijassa-1393	196	10	cnn	cnn	PROPN
ijassa-1393	196	11	layers	layer	NOUN
ijassa-1393	196	12	is	be	AUX
ijassa-1393	196	13	called	call	VERB
ijassa-1393	196	14	deep	deep	ADJ
ijassa-1393	196	15	feature	feature	NOUN
ijassa-1393	196	16	extraction	extraction	NOUN
ijassa-1393	196	17	.	.	PUNCT
ijassa-1393	197	1	in	in	ADP
ijassa-1393	197	2	this	this	DET
ijassa-1393	197	3	case	case	NOUN
ijassa-1393	197	4	,	,	PUNCT
ijassa-1393	197	5	the	the	DET
ijassa-1393	197	6	extracted	extract	VERB
ijassa-1393	197	7	features	feature	NOUN
ijassa-1393	197	8	are	be	AUX
ijassa-1393	197	9	termed	term	VERB
ijassa-1393	197	10	as	as	ADP
ijassa-1393	197	11	deep	deep	ADJ
ijassa-1393	197	12	-	-	PUNCT
ijassa-1393	197	13	features	feature	NOUN
ijassa-1393	197	14	.	.	PUNCT
ijassa-1393	198	1	dimension	dimension	NOUN
ijassa-1393	198	2	of	of	ADP
ijassa-1393	198	3	convolutional	convolutional	ADJ
ijassa-1393	198	4	layer	layer	NOUN
ijassa-1393	198	5	outcome	outcome	NOUN
ijassa-1393	198	6	could	could	AUX
ijassa-1393	198	7	be	be	AUX
ijassa-1393	198	8	computed	compute	VERB
ijassa-1393	198	9	by	by	ADP
ijassa-1393	198	10	equation.1	equation.1	PROPN
ijassa-1393	198	11	,	,	PUNCT
ijassa-1393	198	12	(	(	PUNCT
ijassa-1393	198	13	1	1	X
ijassa-1393	198	14	)	)	PUNCT
ijassa-1393	198	15	input	input	NOUN
ijassa-1393	198	16	width	width	NOUN
ijassa-1393	198	17	is	be	AUX
ijassa-1393	198	18	given	give	VERB
ijassa-1393	198	19	by	by	ADP
ijassa-1393	198	20	,	,	PUNCT
ijassa-1393	198	21	and	and	CCONJ
ijassa-1393	198	22	height	height	NOUN
ijassa-1393	198	23	is	be	AUX
ijassa-1393	198	24	represented	represent	VERB
ijassa-1393	198	25	by	by	ADP
ijassa-1393	198	26	for	for	ADP
ijassa-1393	198	27	the	the	DET
ijassa-1393	198	28	first	first	ADJ
ijassa-1393	198	29	convolutional	convolutional	ADJ
ijassa-1393	198	30	layer	layer	NOUN
ijassa-1393	198	31	.	.	PUNCT
ijassa-1393	199	1	in	in	ADP
ijassa-1393	199	2	addition	addition	NOUN
ijassa-1393	199	3	,	,	PUNCT
ijassa-1393	199	4	indicate	indicate	VERB
ijassa-1393	199	5	the	the	DET
ijassa-1393	199	6	width	width	ADJ
ijassa-1393	199	7	,	,	PUNCT
ijassa-1393	199	8	height	height	NOUN
ijassa-1393	199	9	,	,	PUNCT
ijassa-1393	199	10	and	and	CCONJ
ijassa-1393	199	11	channels	channel	NOUN
ijassa-1393	199	12	for	for	ADP
ijassa-1393	199	13	the	the	DET
ijassa-1393	199	14	convolutional	convolutional	ADJ
ijassa-1393	199	15	layerkernel	layerkernel	NOUN
ijassa-1393	199	16	filter	filter	NOUN
ijassa-1393	199	17	.	.	PUNCT
ijassa-1393	200	1	an	an	DET
ijassa-1393	200	2	initial	initial	ADJ
ijassa-1393	200	3	max	max	NOUN
ijassa-1393	200	4	-	-	PUNCT
ijassa-1393	200	5	pooling	pool	VERB
ijassa-1393	200	6	layer	layer	NOUN
ijassa-1393	200	7	is	be	AUX
ijassa-1393	200	8	incorporated	incorporate	VERB
ijassa-1393	200	9	to	to	PART
ijassa-1393	200	10	minimize	minimize	VERB
ijassa-1393	200	11	the	the	DET
ijassa-1393	200	12	first	first	ADJ
ijassa-1393	200	13	convolutional	convolutional	ADJ
ijassa-1393	200	14	layer	layer	NOUN
ijassa-1393	200	15	result	result	NOUN
ijassa-1393	200	16	dimensions	dimension	NOUN
ijassa-1393	200	17	.	.	PUNCT
ijassa-1393	201	1	moreover	moreover	ADV
ijassa-1393	201	2	,	,	PUNCT
ijassa-1393	201	3	dimensions	dimension	NOUN
ijassa-1393	201	4	corresponding	correspond	VERB
ijassa-1393	201	5	to	to	ADP
ijassa-1393	201	6	the	the	DET
ijassa-1393	201	7	max	max	PROPN
ijassa-1393	201	8	-	-	PUNCT
ijassa-1393	201	9	pooling	pool	VERB
ijassa-1393	201	10	layer	layer	NOUN
ijassa-1393	201	11	result	result	NOUN
ijassa-1393	201	12	are	be	AUX
ijassa-1393	201	13	computed	compute	VERB
ijassa-1393	201	14	by	by	ADP
ijassa-1393	201	15	equation.2	equation.2	NOUN
ijassa-1393	201	16	,	,	PUNCT
ijassa-1393	201	17	(	(	PUNCT
ijassa-1393	201	18	2	2	NUM
ijassa-1393	201	19	)	)	PUNCT
ijassa-1393	201	20	in	in	ADP
ijassa-1393	201	21	equation.2	equation.2	NOUN
ijassa-1393	201	22	,	,	PUNCT
ijassa-1393	201	23	,	,	PUNCT
ijassa-1393	201	24	,	,	PUNCT
ijassa-1393	201	25	indicates	indicate	VERB
ijassa-1393	201	26	the	the	DET
ijassa-1393	201	27	input	input	NOUN
ijassa-1393	201	28	's	's	PART
ijassa-1393	201	29	width	width	NOUN
ijassa-1393	201	30	,	,	PUNCT
ijassa-1393	201	31	height	height	NOUN
ijassa-1393	201	32	,	,	PUNCT
ijassa-1393	201	33	and	and	CCONJ
ijassa-1393	201	34	channels	channel	NOUN
ijassa-1393	201	35	(	(	PUNCT
ijassa-1393	201	36	)	)	PUNCT
ijassa-1393	201	37	.	.	PUNCT
ijassa-1393	202	1	whereas	whereas	SCONJ
ijassa-1393	202	2	indicate	indicate	VERB
ijassa-1393	202	3	the	the	DET
ijassa-1393	202	4	width	width	ADJ
ijassa-1393	202	5	,	,	PUNCT
ijassa-1393	202	6	height	height	NOUN
ijassa-1393	202	7	,	,	PUNCT
ijassa-1393	202	8	and	and	CCONJ
ijassa-1393	202	9	channels	channel	NOUN
ijassa-1393	202	10	of	of	ADP
ijassa-1393	202	11	filter	filter	NOUN
ijassa-1393	202	12	within	within	ADP
ijassa-1393	202	13	the	the	DET
ijassa-1393	202	14	max	max	PROPN
ijassa-1393	202	15	-	-	PUNCT
ijassa-1393	202	16	pooling	pool	VERB
ijassa-1393	202	17	layer	layer	NOUN
ijassa-1393	202	18	.	.	PUNCT
ijassa-1393	203	1	the	the	DET
ijassa-1393	203	2	outcome	outcome	NOUN
ijassa-1393	203	3	of	of	ADP
ijassa-1393	203	4	an	an	DET
ijassa-1393	203	5	initial	initial	ADJ
ijassa-1393	203	6	max	max	NOUN
ijassa-1393	203	7	-	-	PUNCT
ijassa-1393	203	8	pooling	pool	VERB
ijassa-1393	203	9	layer	layer	NOUN
ijassa-1393	203	10	is	be	AUX
ijassa-1393	203	11	fed	feed	VERB
ijassa-1393	203	12	as	as	ADP
ijassa-1393	203	13	input	input	NOUN
ijassa-1393	203	14	to	to	ADP
ijassa-1393	203	15	the	the	DET
ijassa-1393	203	16	subsequent	subsequent	ADJ
ijassa-1393	203	17	convolutional	convolutional	ADJ
ijassa-1393	203	18	layer	layer	NOUN
ijassa-1393	203	19	.	.	PUNCT
ijassa-1393	204	1	further	far	ADV
ijassa-1393	204	2	,	,	PUNCT
ijassa-1393	204	3	relu	relu	NOUN
ijassa-1393	204	4	activation	activation	NOUN
ijassa-1393	204	5	is	be	AUX
ijassa-1393	204	6	utilized	utilize	VERB
ijassa-1393	204	7	on	on	ADP
ijassa-1393	204	8	all	all	DET
ijassa-1393	204	9	convolutional	convolutional	ADJ
ijassa-1393	204	10	layers	layer	NOUN
ijassa-1393	204	11	.	.	PUNCT
ijassa-1393	205	1	that	that	PRON
ijassa-1393	205	2	is	be	AUX
ijassa-1393	205	3	performed	perform	VERB
ijassa-1393	205	4	by	by	ADP
ijassa-1393	205	5	equation.3	equation.3	PROPN
ijassa-1393	205	6	,	,	PUNCT
ijassa-1393	205	7	(	(	PUNCT
ijassa-1393	205	8	3	3	X
ijassa-1393	205	9	)	)	PUNCT
ijassa-1393	205	10	following	follow	VERB
ijassa-1393	205	11	this	this	PRON
ijassa-1393	205	12	,	,	PUNCT
ijassa-1393	205	13	equation.4	equation.4	NOUN
ijassa-1393	205	14	denotes	denote	VERB
ijassa-1393	205	15	the	the	DET
ijassa-1393	205	16	output	output	NOUN
ijassa-1393	205	17	of	of	ADP
ijassa-1393	205	18	neuron	neuron	PROPN
ijassa-1393	205	19	(	(	PUNCT
ijassa-1393	205	20	)	)	PUNCT
ijassa-1393	205	21	of	of	ADP
ijassa-1393	205	22	the	the	DET
ijassa-1393	205	23	initial	initial	ADJ
ijassa-1393	205	24	dense	dense	ADJ
ijassa-1393	205	25	layer	layer	NOUN
ijassa-1393	205	26	.	.	PUNCT
ijassa-1393	206	1	moreover	moreover	ADV
ijassa-1393	206	2	,	,	PUNCT
ijassa-1393	206	3	indicates	indicate	VERB
ijassa-1393	206	4	the	the	DET
ijassa-1393	206	5	inputs	input	NOUN
ijassa-1393	206	6	of	of	ADP
ijassa-1393	206	7	the	the	DET
ijassa-1393	206	8	first	first	ADJ
ijassa-1393	206	9	dense	dense	ADJ
ijassa-1393	206	10	layer	layer	NOUN
ijassa-1393	206	11	that	that	PRON
ijassa-1393	206	12	ranges	range	VERB
ijassa-1393	206	13	from	from	ADP
ijassa-1393	206	14	(	(	PUNCT
ijassa-1393	206	15	1	1	NUM
ijassa-1393	206	16	-	-	SYM
ijassa-1393	206	17	512	512	NUM
ijassa-1393	206	18	)	)	PUNCT
ijassa-1393	206	19	,	,	PUNCT
ijassa-1393	206	20	while	while	SCONJ
ijassa-1393	206	21	represents	represent	VERB
ijassa-1393	206	22	the	the	DET
ijassa-1393	206	23	resultant	resultant	NOUN
ijassa-1393	206	24	overall	overall	ADJ
ijassa-1393	206	25	layers	layer	NOUN
ijassa-1393	206	26	ranging	range	VERB
ijassa-1393	206	27	from	from	ADP
ijassa-1393	206	28	(	(	PUNCT
ijassa-1393	206	29	1	1	NUM
ijassa-1393	206	30	-	-	NUM
ijassa-1393	206	31	2048	2048	NUM
ijassa-1393	206	32	)	)	PUNCT
ijassa-1393	206	33	and	and	CCONJ
ijassa-1393	206	34	is	be	AUX
ijassa-1393	206	35	given	give	VERB
ijassa-1393	206	36	by	by	ADP
ijassa-1393	206	37	,	,	PUNCT
ijassa-1393	206	38	(	(	PUNCT
ijassa-1393	206	39	4	4	NUM
ijassa-1393	206	40	)	)	PUNCT
ijassa-1393	206	41	in	in	ADP
ijassa-1393	206	42	equation.4	equation.4	NOUN
ijassa-1393	206	43	,	,	PUNCT
ijassa-1393	206	44	represents	represent	VERB
ijassa-1393	206	45	the	the	DET
ijassa-1393	206	46	bias	bias	NOUN
ijassa-1393	206	47	value	value	NOUN
ijassa-1393	206	48	for	for	ADP
ijassa-1393	206	49	the	the	DET
ijassa-1393	206	50	jth	jth	PROPN
ijassa-1393	206	51	node	node	PROPN
ijassa-1393	206	52	.	.	PUNCT
ijassa-1393	207	1	moreover	moreover	ADV
ijassa-1393	207	2	,	,	PUNCT
ijassa-1393	207	3	this	this	DET
ijassa-1393	207	4	layer	layer	NOUN
ijassa-1393	207	5	uses	use	VERB
ijassa-1393	207	6	the	the	DET
ijassa-1393	207	7	softmax	softmax	NOUN
ijassa-1393	207	8	function	function	NOUN
ijassa-1393	207	9	for	for	ADP
ijassa-1393	207	10	plant	plant	NOUN
ijassa-1393	207	11	leaf	leaf	NOUN
ijassa-1393	207	12	classification	classification	NOUN
ijassa-1393	207	13	.	.	PUNCT
ijassa-1393	208	1	softmax	softmax	NOUN
ijassa-1393	208	2	(	(	PUNCT
ijassa-1393	208	3	)	)	PUNCT
ijassa-1393	208	4	of	of	ADP
ijassa-1393	208	5	the	the	DET
ijassa-1393	208	6	ith	ith	PROPN
ijassa-1393	208	7	neuron	neuron	NOUN
ijassa-1393	208	8	of	of	ADP
ijassa-1393	208	9	the	the	DET
ijassa-1393	208	10	dense	dense	ADJ
ijassa-1393	208	11	layer	layer	NOUN
ijassa-1393	208	12	is	be	AUX
ijassa-1393	208	13	given	give	VERB
ijassa-1393	208	14	by	by	ADP
ijassa-1393	208	15	equation.5	equation.5	NOUN
ijassa-1393	208	16	,	,	PUNCT
ijassa-1393	208	17	(	(	PUNCT
ijassa-1393	208	18	5	5	X
ijassa-1393	208	19	)	)	PUNCT
ijassa-1393	208	20	the	the	DET
ijassa-1393	208	21	resultant	resultant	NOUN
ijassa-1393	208	22	input	input	NOUN
ijassa-1393	208	23	image	image	NOUN
ijassa-1393	208	24	class	class	NOUN
ijassa-1393	208	25	could	could	AUX
ijassa-1393	208	26	be	be	AUX
ijassa-1393	208	27	exposed	expose	VERB
ijassa-1393	208	28	through	through	ADP
ijassa-1393	208	29	an	an	DET
ijassa-1393	208	30	equation.6	equation.6	PROPN
ijassa-1393	208	31	,	,	PUNCT
ijassa-1393	208	32	(	(	PUNCT
ijassa-1393	208	33	6	6	NUM
ijassa-1393	208	34	)	)	PUNCT
ijassa-1393	208	35	the	the	DET
ijassa-1393	208	36	resultant	resultant	NOUN
ijassa-1393	208	37	value	value	NOUN
ijassa-1393	208	38	from	from	ADP
ijassa-1393	208	39	(	(	PUNCT
ijassa-1393	208	40	)	)	PUNCT
ijassa-1393	208	41	indicates	indicate	VERB
ijassa-1393	208	42	the	the	DET
ijassa-1393	208	43	overall	overall	ADJ
ijassa-1393	208	44	piper	piper	NOUN
ijassa-1393	208	45	and	and	CCONJ
ijassa-1393	208	46	all	all	DET
ijassa-1393	208	47	plant	plant	NOUN
ijassa-1393	208	48	leaf	leaf	NOUN
ijassa-1393	208	49	classes	class	NOUN
ijassa-1393	208	50	.	.	PUNCT
ijassa-1393	209	1	3.1.2	3.1.2	X
ijassa-1393	209	2	.	.	PUNCT
ijassa-1393	210	1	inception	inception	PROPN
ijassa-1393	210	2	v3	v3	PROPN
ijassa-1393	210	3	inception	inception	PROPN
ijassa-1393	210	4	v3	v3	PROPN
ijassa-1393	210	5	indicates	indicate	VERB
ijassa-1393	210	6	a	a	DET
ijassa-1393	210	7	pre	pre	ADJ
ijassa-1393	210	8	-	-	ADJ
ijassa-1393	210	9	trained	train	VERB
ijassa-1393	210	10	cnn	cnn	PROPN
ijassa-1393	210	11	image	image	NOUN
ijassa-1393	210	12	recognition	recognition	NOUN
ijassa-1393	210	13	framework	framework	NOUN
ijassa-1393	210	14	.	.	PUNCT
ijassa-1393	211	1	it	it	PRON
ijassa-1393	211	2	represents	represent	VERB
ijassa-1393	211	3	a	a	DET
ijassa-1393	211	4	network	network	NOUN
ijassa-1393	211	5	version	version	NOUN
ijassa-1393	211	6	already	already	ADV
ijassa-1393	211	7	trained	train	VERB
ijassa-1393	211	8	upon	upon	SCONJ
ijassa-1393	211	9	several	several	ADJ
ijassa-1393	211	10	million	million	NUM
ijassa-1393	211	11	images	image	NOUN
ijassa-1393	211	12	from	from	ADP
ijassa-1393	211	13	the	the	DET
ijassa-1393	211	14	imagenet	imagenet	NOUN
ijassa-1393	211	15	dataset	dataset	NOUN
ijassa-1393	211	16	.	.	PUNCT
ijassa-1393	212	1	this	this	DET
ijassa-1393	212	2	model	model	NOUN
ijassa-1393	212	3	typically	typically	ADV
ijassa-1393	212	4	uses	use	VERB
ijassa-1393	212	5	several	several	ADJ
ijassa-1393	212	6	methods	method	NOUN
ijassa-1393	212	7	to	to	PART
ijassa-1393	212	8	optimize	optimize	VERB
ijassa-1393	212	9	the	the	DET
ijassa-1393	212	10	network	network	NOUN
ijassa-1393	212	11	to	to	PART
ijassa-1393	212	12	attain	attain	VERB
ijassa-1393	212	13	better	well	ADJ
ijassa-1393	212	14	adaptation	adaptation	NOUN
ijassa-1393	212	15	of	of	ADP
ijassa-1393	212	16	the	the	DET
ijassa-1393	212	17	model	model	NOUN
ijassa-1393	212	18	.	.	PUNCT
ijassa-1393	213	1	as	as	ADP
ijassa-1393	213	2	a	a	DET
ijassa-1393	213	3	result	result	NOUN
ijassa-1393	213	4	,	,	PUNCT
ijassa-1393	213	5	it	it	PRON
ijassa-1393	213	6	possesses	possess	VERB
ijassa-1393	213	7	a	a	DET
ijassa-1393	213	8	deep	deep	ADJ
ijassa-1393	213	9	network	network	NOUN
ijassa-1393	213	10	compared	compare	VERB
ijassa-1393	213	11	to	to	ADP
ijassa-1393	213	12	the	the	DET
ijassa-1393	213	13	inception	inception	NOUN
ijassa-1393	213	14	-	-	PUNCT
ijassa-1393	213	15	v1	v1	NOUN
ijassa-1393	213	16	and	and	CCONJ
ijassa-1393	213	17	inception	inception	NOUN
ijassa-1393	213	18	-	-	PUNCT
ijassa-1393	213	19	v2	v2	NOUN
ijassa-1393	213	20	models	model	NOUN
ijassa-1393	213	21	.	.	PUNCT
ijassa-1393	214	1	however	however	ADV
ijassa-1393	214	2	,	,	PUNCT
ijassa-1393	214	3	its	its	PRON
ijassa-1393	214	4	speed	speed	NOUN
ijassa-1393	214	5	is	be	AUX
ijassa-1393	214	6	maintained	maintain	VERB
ijassa-1393	214	7	.	.	PUNCT
ijassa-1393	215	1	furthermore	furthermore	ADV
ijassa-1393	215	2	,	,	PUNCT
ijassa-1393	215	3	it	it	PRON
ijassa-1393	215	4	utilizes	utilize	VERB
ijassa-1393	215	5	auxiliary	auxiliary	ADJ
ijassa-1393	215	6	classifiers	classifier	NOUN
ijassa-1393	215	7	and	and	CCONJ
ijassa-1393	215	8	is	be	AUX
ijassa-1393	215	9	computationally	computationally	ADV
ijassa-1393	215	10	cheap	cheap	ADJ
ijassa-1393	215	11	.	.	PUNCT
ijassa-1393	216	1	due	due	ADP
ijassa-1393	216	2	to	to	ADP
ijassa-1393	216	3	this	this	DET
ijassa-1393	216	4	advantage	advantage	NOUN
ijassa-1393	216	5	,	,	PUNCT
ijassa-1393	216	6	this	this	DET
ijassa-1393	216	7	study	study	NOUN
ijassa-1393	216	8	considers	consider	VERB
ijassa-1393	216	9	inception	inception	ADJ
ijassa-1393	216	10	v3	v3	PROPN
ijassa-1393	216	11	for	for	ADP
ijassa-1393	216	12	feature	feature	NOUN
ijassa-1393	216	13	extraction	extraction	NOUN
ijassa-1393	216	14	.	.	PUNCT
ijassa-1393	217	1	its	its	PRON
ijassa-1393	217	2	overall	overall	ADJ
ijassa-1393	217	3	architecture	architecture	NOUN
ijassa-1393	217	4	is	be	AUX
ijassa-1393	217	5	shown	show	VERB
ijassa-1393	217	6	in	in	ADP
ijassa-1393	217	7	figure	figure	NOUN
ijassa-1393	217	8	4	4	NUM
ijassa-1393	217	9	,	,	PUNCT
ijassa-1393	217	10	encompassing	encompass	VERB
ijassa-1393	217	11	different	different	ADJ
ijassa-1393	217	12	layers	layer	NOUN
ijassa-1393	217	13	of	of	ADP
ijassa-1393	217	14	inception	inception	PROPN
ijassa-1393	217	15	v3	v3	PROPN
ijassa-1393	217	16	with	with	ADP
ijassa-1393	217	17	suitable	suitable	ADJ
ijassa-1393	217	18	dimensions	dimension	NOUN
ijassa-1393	217	19	as	as	SCONJ
ijassa-1393	217	20	considered	consider	VERB
ijassa-1393	217	21	in	in	ADP
ijassa-1393	217	22	this	this	DET
ijassa-1393	217	23	research	research	NOUN
ijassa-1393	217	24	.	.	PUNCT
ijassa-1393	218	1	136	136	NUM
ijassa-1393	218	2	i.	i.	PROPN
ijassa-1393	218	3	petrov	petrov	PROPN
ijassa-1393	218	4	,	,	PUNCT
ijassa-1393	218	5	j.f	j.f	PROPN
ijassa-1393	218	6	.	.	PROPN
ijassa-1393	218	7	doe	doe	NOUN
ijassa-1393	218	8	copyright	copyright	NOUN
ijassa-1393	218	9	©	©	PROPN
ijassa-1393	218	10	2023	2023	NUM
ijassa-1393	218	11	assa	assa	PROPN
ijassa-1393	218	12	adv	adv	PROPN
ijassa-1393	218	13	.	.	PUNCT
ijassa-1393	219	1	in	in	ADP
ijassa-1393	219	2	systems	system	NOUN
ijassa-1393	219	3	science	science	NOUN
ijassa-1393	219	4	and	and	CCONJ
ijassa-1393	219	5	appl	appl	NOUN
ijassa-1393	219	6	.	.	PUNCT
ijassa-1393	220	1	(	(	PUNCT
ijassa-1393	220	2	2023	2023	NUM
ijassa-1393	220	3	)	)	PUNCT
ijassa-1393	220	4	figure	figure	NOUN
ijassa-1393	220	5	4	4	NUM
ijassa-1393	220	6	.	.	PUNCT
ijassa-1393	221	1	inception	inception	ADJ
ijassa-1393	221	2	v3	v3	PROPN
ijassa-1393	221	3	architecture	architecture	NOUN
ijassa-1393	221	4	3.1.3	3.1.3	NUM
ijassa-1393	221	5	.	.	PUNCT
ijassa-1393	222	1	vgg16	vgg16	PROPN
ijassa-1393	222	2	(	(	PUNCT
ijassa-1393	222	3	visual	visual	ADJ
ijassa-1393	222	4	geometry	geometry	NOUN
ijassa-1393	222	5	group16	group16	PROPN
ijassa-1393	222	6	)	)	PUNCT
ijassa-1393	222	7	vgg16	vgg16	NOUN
ijassa-1393	222	8	is	be	AUX
ijassa-1393	222	9	typically	typically	ADV
ijassa-1393	222	10	a	a	DET
ijassa-1393	222	11	cnn	cnn	PROPN
ijassa-1393	222	12	model	model	NOUN
ijassa-1393	222	13	comprising	comprise	VERB
ijassa-1393	222	14	16	16	NUM
ijassa-1393	222	15	convolutional	convolutional	ADJ
ijassa-1393	222	16	layers	layer	NOUN
ijassa-1393	222	17	.	.	PUNCT
ijassa-1393	223	1	it	it	PRON
ijassa-1393	223	2	possesses	possess	VERB
ijassa-1393	223	3	various	various	ADJ
ijassa-1393	223	4	benefits	benefit	NOUN
ijassa-1393	223	5	,	,	PUNCT
ijassa-1393	223	6	like	like	ADP
ijassa-1393	223	7	uniform	uniform	ADJ
ijassa-1393	223	8	architecture	architecture	NOUN
ijassa-1393	223	9	.	.	PUNCT
ijassa-1393	224	1	similar	similar	ADJ
ijassa-1393	224	2	to	to	ADP
ijassa-1393	224	3	alexnet	alexnet	NOUN
ijassa-1393	224	4	,	,	PUNCT
ijassa-1393	224	5	it	it	PRON
ijassa-1393	224	6	possesses	possess	VERB
ijassa-1393	224	7	convolutions	convolution	NOUN
ijassa-1393	224	8	of	of	ADP
ijassa-1393	224	9	(	(	PUNCT
ijassa-1393	224	10	3	3	NUM
ijassa-1393	224	11	*	*	NOUN
ijassa-1393	224	12	3	3	NUM
ijassa-1393	224	13	)	)	PUNCT
ijassa-1393	224	14	dimensions	dimension	NOUN
ijassa-1393	224	15	.	.	PUNCT
ijassa-1393	225	1	it	it	PRON
ijassa-1393	225	2	could	could	AUX
ijassa-1393	225	3	be	be	AUX
ijassa-1393	225	4	trained	train	VERB
ijassa-1393	225	5	upon	upon	SCONJ
ijassa-1393	225	6	4gpus	4gpus	NUM
ijassa-1393	225	7	for	for	ADP
ijassa-1393	225	8	two	two	NUM
ijassa-1393	225	9	to	to	PART
ijassa-1393	225	10	three	three	NUM
ijassa-1393	225	11	weeks	week	NOUN
ijassa-1393	225	12	.	.	PUNCT
ijassa-1393	226	1	currently	currently	ADV
ijassa-1393	226	2	,	,	PUNCT
ijassa-1393	226	3	it	it	PRON
ijassa-1393	226	4	is	be	AUX
ijassa-1393	226	5	a	a	DET
ijassa-1393	226	6	preferred	preferred	ADJ
ijassa-1393	226	7	option	option	NOUN
ijassa-1393	226	8	to	to	PART
ijassa-1393	226	9	extract	extract	VERB
ijassa-1393	226	10	features	feature	NOUN
ijassa-1393	226	11	from	from	ADP
ijassa-1393	226	12	an	an	DET
ijassa-1393	226	13	image	image	NOUN
ijassa-1393	226	14	.	.	PUNCT
ijassa-1393	227	1	it	it	PRON
ijassa-1393	227	2	finds	find	VERB
ijassa-1393	227	3	applicability	applicability	NOUN
ijassa-1393	227	4	in	in	ADP
ijassa-1393	227	5	several	several	ADJ
ijassa-1393	227	6	dl	dl	NOUN
ijassa-1393	227	7	-	-	PUNCT
ijassa-1393	227	8	based	base	VERB
ijassa-1393	227	9	image	image	NOUN
ijassa-1393	227	10	classification	classification	NOUN
ijassa-1393	227	11	issues	issue	NOUN
ijassa-1393	227	12	and	and	CCONJ
ijassa-1393	227	13	remains	remain	VERB
ijassa-1393	227	14	a	a	DET
ijassa-1393	227	15	building	building	NOUN
ijassa-1393	227	16	block	block	NOUN
ijassa-1393	227	17	to	to	PART
ijassa-1393	227	18	perform	perform	VERB
ijassa-1393	227	19	learning	learn	VERB
ijassa-1393	227	20	and	and	CCONJ
ijassa-1393	227	21	undertakes	undertake	VERB
ijassa-1393	227	22	easy	easy	ADJ
ijassa-1393	227	23	execution	execution	NOUN
ijassa-1393	227	24	.	.	PUNCT
ijassa-1393	228	1	the	the	DET
ijassa-1393	228	2	main	main	ADJ
ijassa-1393	228	3	merit	merit	NOUN
ijassa-1393	228	4	of	of	ADP
ijassa-1393	228	5	this	this	DET
ijassa-1393	228	6	model	model	NOUN
ijassa-1393	228	7	is	be	AUX
ijassa-1393	228	8	that	that	SCONJ
ijassa-1393	228	9	it	it	PRON
ijassa-1393	228	10	is	be	AUX
ijassa-1393	228	11	optimal	optimal	ADJ
ijassa-1393	228	12	for	for	ADP
ijassa-1393	228	13	benchmarking	benchmarke	VERB
ijassa-1393	228	14	,	,	PUNCT
ijassa-1393	228	15	and	and	CCONJ
ijassa-1393	228	16	pretrained	pretraine	VERB
ijassa-1393	228	17	networks	network	NOUN
ijassa-1393	228	18	seem	seem	VERB
ijassa-1393	228	19	publicly	publicly	ADV
ijassa-1393	228	20	accessible	accessible	ADJ
ijassa-1393	228	21	.	.	PUNCT
ijassa-1393	229	1	its	its	PRON
ijassa-1393	229	2	overall	overall	ADJ
ijassa-1393	229	3	architecture	architecture	NOUN
ijassa-1393	229	4	is	be	AUX
ijassa-1393	229	5	depicted	depict	VERB
ijassa-1393	229	6	in	in	ADP
ijassa-1393	229	7	figure	figure	NOUN
ijassa-1393	229	8	5	5	NUM
ijassa-1393	229	9	.	.	PUNCT
ijassa-1393	230	1	deep	deep	ADJ
ijassa-1393	230	2	feature	feature	NOUN
ijassa-1393	230	3	extraction	extraction	NOUN
ijassa-1393	230	4	and	and	CCONJ
ijassa-1393	230	5	weight	weight	NOUN
ijassa-1393	230	6	updated	update	VERB
ijassa-1393	230	7	tuned	tune	VERB
ijassa-1393	230	8	random	random	ADJ
ijassa-1393	230	9	forest	forest	NOUN
ijassa-1393	230	10	…	…	PUNCT
ijassa-1393	230	11	137	137	NUM
ijassa-1393	230	12	copyright	copyright	NOUN
ijassa-1393	230	13	©	©	PROPN
ijassa-1393	230	14	2023	2023	NUM
ijassa-1393	230	15	assa	assa	NOUN
ijassa-1393	230	16	.	.	PUNCT
ijassa-1393	231	1	adv	adv	PROPN
ijassa-1393	231	2	.	.	PUNCT
ijassa-1393	232	1	in	in	ADP
ijassa-1393	232	2	systems	system	NOUN
ijassa-1393	232	3	science	science	NOUN
ijassa-1393	232	4	and	and	CCONJ
ijassa-1393	232	5	appl	appl	NOUN
ijassa-1393	232	6	.	.	PUNCT
ijassa-1393	233	1	(	(	PUNCT
ijassa-1393	233	2	2023	2023	NUM
ijassa-1393	233	3	)	)	PUNCT
ijassa-1393	233	4	figure	figure	NOUN
ijassa-1393	233	5	5	5	NUM
ijassa-1393	233	6	.	.	PUNCT
ijassa-1393	234	1	vgg16	vgg16	NOUN
ijassa-1393	234	2	model	model	NOUN
ijassa-1393	234	3	architecture	architecture	NOUN
ijassa-1393	234	4	3.2	3.2	NUM
ijassa-1393	234	5	.	.	PUNCT
ijassa-1393	235	1	feature	feature	NOUN
ijassa-1393	235	2	fusion	fusion	NOUN
ijassa-1393	235	3	-	-	PUNCT
ijassa-1393	235	4	pca	pca	NOUN
ijassa-1393	235	5	(	(	PUNCT
ijassa-1393	235	6	principle	principle	NOUN
ijassa-1393	235	7	component	component	NOUN
ijassa-1393	235	8	analysis	analysis	NOUN
ijassa-1393	235	9	)	)	PUNCT
ijassa-1393	235	10	the	the	DET
ijassa-1393	235	11	present	present	ADJ
ijassa-1393	235	12	study	study	NOUN
ijassa-1393	235	13	considers	consider	VERB
ijassa-1393	235	14	pca	pca	PROPN
ijassa-1393	235	15	for	for	ADP
ijassa-1393	235	16	feature	feature	NOUN
ijassa-1393	235	17	fusion	fusion	NOUN
ijassa-1393	235	18	.	.	PUNCT
ijassa-1393	236	1	it	it	PRON
ijassa-1393	236	2	is	be	AUX
ijassa-1393	236	3	an	an	DET
ijassa-1393	236	4	ml	ml	X
ijassa-1393	236	5	algorithm	algorithm	NOUN
ijassa-1393	236	6	generally	generally	ADV
ijassa-1393	236	7	used	use	VERB
ijassa-1393	236	8	to	to	PART
ijassa-1393	236	9	minimize	minimize	VERB
ijassa-1393	236	10	feature	feature	NOUN
ijassa-1393	236	11	dimensionality	dimensionality	NOUN
ijassa-1393	236	12	while	while	SCONJ
ijassa-1393	236	13	maintaining	maintain	VERB
ijassa-1393	236	14	significant	significant	ADJ
ijassa-1393	236	15	data	datum	NOUN
ijassa-1393	236	16	properties	property	NOUN
ijassa-1393	236	17	.	.	PUNCT
ijassa-1393	237	1	functioning	function	VERB
ijassa-1393	237	2	in	in	ADP
ijassa-1393	237	3	data	datum	NOUN
ijassa-1393	237	4	with	with	ADP
ijassa-1393	237	5	high	high	ADJ
ijassa-1393	237	6	dimensions	dimension	NOUN
ijassa-1393	237	7	could	could	AUX
ijassa-1393	237	8	make	make	VERB
ijassa-1393	237	9	classification	classification	NOUN
ijassa-1393	237	10	computationally	computationally	ADV
ijassa-1393	237	11	expensive	expensive	ADJ
ijassa-1393	237	12	.	.	PUNCT
ijassa-1393	238	1	it	it	PRON
ijassa-1393	238	2	might	might	AUX
ijassa-1393	238	3	also	also	ADV
ijassa-1393	238	4	lead	lead	VERB
ijassa-1393	238	5	to	to	ADP
ijassa-1393	238	6	low	low	ADJ
ijassa-1393	238	7	performance	performance	NOUN
ijassa-1393	238	8	in	in	ADP
ijassa-1393	238	9	comparison	comparison	NOUN
ijassa-1393	238	10	with	with	ADP
ijassa-1393	238	11	common	common	ADJ
ijassa-1393	238	12	feature	feature	NOUN
ijassa-1393	238	13	space	space	NOUN
ijassa-1393	238	14	.	.	PUNCT
ijassa-1393	239	1	hence	hence	ADV
ijassa-1393	239	2	,	,	PUNCT
ijassa-1393	239	3	minimizing	minimize	VERB
ijassa-1393	239	4	feature	feature	NOUN
ijassa-1393	239	5	space	space	NOUN
ijassa-1393	239	6	avoids	avoid	VERB
ijassa-1393	239	7	feature	feature	NOUN
ijassa-1393	239	8	redundancy	redundancy	NOUN
ijassa-1393	239	9	and	and	CCONJ
ijassa-1393	239	10	affords	affords	ADJ
ijassa-1393	239	11	computational	computational	ADJ
ijassa-1393	239	12	advantages	advantage	NOUN
ijassa-1393	239	13	that	that	PRON
ijassa-1393	239	14	enhance	enhance	VERB
ijassa-1393	239	15	the	the	DET
ijassa-1393	239	16	classifier	classifier	NOUN
ijassa-1393	239	17	's	's	PART
ijassa-1393	239	18	performance	performance	NOUN
ijassa-1393	239	19	.	.	PUNCT
ijassa-1393	240	1	this	this	DET
ijassa-1393	240	2	study	study	NOUN
ijassa-1393	240	3	selects	select	VERB
ijassa-1393	240	4	pca	pca	PROPN
ijassa-1393	240	5	for	for	ADP
ijassa-1393	240	6	feature	feature	NOUN
ijassa-1393	240	7	fusion	fusion	NOUN
ijassa-1393	240	8	as	as	SCONJ
ijassa-1393	240	9	it	it	PRON
ijassa-1393	240	10	could	could	AUX
ijassa-1393	240	11	enhance	enhance	VERB
ijassa-1393	240	12	performance	performance	NOUN
ijassa-1393	240	13	at	at	ADP
ijassa-1393	240	14	a	a	DET
ijassa-1393	240	15	low	low	ADJ
ijassa-1393	240	16	cost	cost	NOUN
ijassa-1393	240	17	.	.	PUNCT
ijassa-1393	241	1	other	other	ADJ
ijassa-1393	241	2	benefits	benefit	NOUN
ijassa-1393	241	3	include	include	VERB
ijassa-1393	241	4	data	datum	NOUN
ijassa-1393	241	5	noise	noise	NOUN
ijassa-1393	241	6	reduction	reduction	NOUN
ijassa-1393	241	7	,	,	PUNCT
ijassa-1393	241	8	feature	feature	NOUN
ijassa-1393	241	9	selection	selection	NOUN
ijassa-1393	241	10	,	,	PUNCT
ijassa-1393	241	11	and	and	CCONJ
ijassa-1393	241	12	the	the	DET
ijassa-1393	241	13	ability	ability	NOUN
ijassa-1393	241	14	to	to	PART
ijassa-1393	241	15	produce	produce	VERB
ijassa-1393	241	16	uncorrelated	uncorrelated	ADJ
ijassa-1393	241	17	and	and	CCONJ
ijassa-1393	241	18	independent	independent	ADJ
ijassa-1393	241	19	data	datum	NOUN
ijassa-1393	241	20	features	feature	NOUN
ijassa-1393	241	21	.	.	PUNCT
ijassa-1393	242	1	the	the	DET
ijassa-1393	242	2	overall	overall	ADJ
ijassa-1393	242	3	mathematical	mathematical	ADJ
ijassa-1393	242	4	formulation	formulation	NOUN
ijassa-1393	242	5	of	of	ADP
ijassa-1393	242	6	this	this	DET
ijassa-1393	242	7	process	process	NOUN
ijassa-1393	242	8	is	be	AUX
ijassa-1393	242	9	discussed	discuss	VERB
ijassa-1393	242	10	below	below	ADV
ijassa-1393	242	11	,	,	PUNCT
ijassa-1393	242	12	assume	assume	VERB
ijassa-1393	242	13	represents	represent	VERB
ijassa-1393	242	14	the	the	DET
ijassa-1393	242	15	actual	actual	ADJ
ijassa-1393	242	16	dataset	dataset	NOUN
ijassa-1393	242	17	with	with	ADP
ijassa-1393	242	18	size	size	NOUN
ijassa-1393	242	19	.	.	PUNCT
ijassa-1393	243	1	co	co	ADJ
ijassa-1393	243	2	-	-	NOUN
ijassa-1393	243	3	variance	variance	NOUN
ijassa-1393	243	4	matrix	matrix	NOUN
ijassa-1393	243	5	(	(	PUNCT
ijassa-1393	243	6	)	)	PUNCT
ijassa-1393	243	7	is	be	AUX
ijassa-1393	243	8	given	give	VERB
ijassa-1393	243	9	as	as	ADP
ijassa-1393	243	10	per	per	ADP
ijassa-1393	243	11	equation.7	equation.7	NOUN
ijassa-1393	243	12	,	,	PUNCT
ijassa-1393	243	13	(	(	PUNCT
ijassa-1393	243	14	7	7	NUM
ijassa-1393	243	15	)	)	PUNCT
ijassa-1393	243	16	in	in	ADP
ijassa-1393	243	17	equation.7	equation.7	NOUN
ijassa-1393	243	18	,	,	PUNCT
ijassa-1393	243	19	indicates	indicate	VERB
ijassa-1393	243	20	the	the	DET
ijassa-1393	243	21	mean	mean	NOUN
ijassa-1393	243	22	of	of	ADP
ijassa-1393	243	23	actual	actual	ADJ
ijassa-1393	243	24	samples	sample	NOUN
ijassa-1393	243	25	given	give	VERB
ijassa-1393	243	26	by	by	ADP
ijassa-1393	243	27	equation.8	equation.8	PROPN
ijassa-1393	243	28	,	,	PUNCT
ijassa-1393	243	29	(	(	PUNCT
ijassa-1393	243	30	8)	8)	NUM
ijassa-1393	243	31	furthermore	furthermore	ADV
ijassa-1393	243	32	,	,	PUNCT
ijassa-1393	243	33	eigenvectors	eigenvector	NOUN
ijassa-1393	243	34	are	be	AUX
ijassa-1393	243	35	calculated	calculate	VERB
ijassa-1393	243	36	from	from	ADP
ijassa-1393	243	37	the	the	DET
ijassa-1393	243	38	alternation	alternation	NOUN
ijassa-1393	243	39	of	of	ADP
ijassa-1393	243	40	the	the	DET
ijassa-1393	243	41	covariance	covariance	NOUN
ijassa-1393	243	42	matrix	matrix	NOUN
ijassa-1393	243	43	(	(	PUNCT
ijassa-1393	243	44	)	)	PUNCT
ijassa-1393	243	45	.	.	PUNCT
ijassa-1393	244	1	then	then	ADV
ijassa-1393	244	2	,	,	PUNCT
ijassa-1393	244	3	it	it	PRON
ijassa-1393	244	4	is	be	AUX
ijassa-1393	244	5	sorted	sort	VERB
ijassa-1393	244	6	by	by	ADP
ijassa-1393	244	7	the	the	DET
ijassa-1393	244	8	eigenvalue	eigenvalue	NOUN
ijassa-1393	244	9	in	in	ADP
ijassa-1393	244	10	descending	descend	VERB
ijassa-1393	244	11	order	order	NOUN
ijassa-1393	244	12	as	as	SCONJ
ijassa-1393	244	13	wherein	wherein	ADJ
ijassa-1393	244	14	indicates	indicate	VERB
ijassa-1393	244	15	the	the	DET
ijassa-1393	244	16	eigenvectors	eigenvector	NOUN
ijassa-1393	244	17	.	.	PUNCT
ijassa-1393	245	1	finally	finally	ADV
ijassa-1393	245	2	,	,	PUNCT
ijassa-1393	245	3	the	the	DET
ijassa-1393	245	4	overall	overall	ADJ
ijassa-1393	245	5	process	process	NOUN
ijassa-1393	245	6	is	be	AUX
ijassa-1393	245	7	given	give	VERB
ijassa-1393	245	8	in	in	ADP
ijassa-1393	245	9	algorithm	algorithm	NOUN
ijassa-1393	245	10	-	-	PUNCT
ijassa-1393	245	11	i.	i.	PROPN
ijassa-1393	245	12	138	138	NUM
ijassa-1393	245	13	i.	i.	PROPN
ijassa-1393	245	14	petrov	petrov	PROPN
ijassa-1393	245	15	,	,	PUNCT
ijassa-1393	245	16	j.f	j.f	PROPN
ijassa-1393	245	17	.	.	PROPN
ijassa-1393	245	18	doe	doe	NOUN
ijassa-1393	245	19	copyright	copyright	NOUN
ijassa-1393	245	20	©	©	PROPN
ijassa-1393	245	21	2023	2023	NUM
ijassa-1393	245	22	assa	assa	PROPN
ijassa-1393	245	23	adv	adv	PROPN
ijassa-1393	245	24	.	.	PUNCT
ijassa-1393	246	1	in	in	ADP
ijassa-1393	246	2	systems	system	NOUN
ijassa-1393	246	3	science	science	NOUN
ijassa-1393	246	4	and	and	CCONJ
ijassa-1393	246	5	appl	appl	NOUN
ijassa-1393	246	6	.	.	PUNCT
ijassa-1393	247	1	(	(	PUNCT
ijassa-1393	247	2	2023	2023	NUM
ijassa-1393	247	3	)	)	PUNCT
ijassa-1393	247	4	algorithm	algorithm	NOUN
ijassa-1393	247	5	-	-	PUNCT
ijassa-1393	247	6	i	i	PRON
ijassa-1393	247	7	:	:	PUNCT
ijassa-1393	247	8	pca	pca	PROPN
ijassa-1393	247	9	(	(	PUNCT
ijassa-1393	247	10	principal	principal	ADJ
ijassa-1393	247	11	component	component	NOUN
ijassa-1393	247	12	analysis	analysis	NOUN
ijassa-1393	247	13	)	)	PUNCT
ijassa-1393	247	14	step	step	NOUN
ijassa-1393	247	15	1	1	NUM
ijassa-1393	247	16	:	:	PUNCT
ijassa-1393	247	17	calculate	calculate	VERB
ijassa-1393	247	18	the	the	DET
ijassa-1393	247	19	mean	mean	NOUN
ijassa-1393	247	20	of	of	ADP
ijassa-1393	247	21	the	the	DET
ijassa-1393	247	22	feature	feature	NOUN
ijassa-1393	247	23	vector	vector	NOUN
ijassa-1393	247	24	,	,	PUNCT
ijassa-1393	247	25	where	where	SCONJ
ijassa-1393	247	26	represents	represent	VERB
ijassa-1393	247	27	a	a	DET
ijassa-1393	247	28	pattern	pattern	NOUN
ijassa-1393	247	29	,	,	PUNCT
ijassa-1393	247	30	:	:	PUNCT
ijassa-1393	247	31	number	number	NOUN
ijassa-1393	247	32	of	of	ADP
ijassa-1393	247	33	patterns	pattern	NOUN
ijassa-1393	247	34	,	,	PUNCT
ijassa-1393	247	35	:	:	PUNCT
ijassa-1393	247	36	feature	feature	NOUN
ijassa-1393	247	37	matrix	matrix	NOUN
ijassa-1393	247	38	step	step	NOUN
ijassa-1393	247	39	2	2	NUM
ijassa-1393	247	40	:	:	PUNCT
ijassa-1393	247	41	determine	determine	VERB
ijassa-1393	247	42	the	the	DET
ijassa-1393	247	43	covariance	covariance	NOUN
ijassa-1393	247	44	matrix	matrix	NOUN
ijassa-1393	247	45	//	//	NOUN
ijassa-1393	247	46	:	:	PUNCT
ijassa-1393	247	47	matrix	matrix	NOUN
ijassa-1393	247	48	transposition	transposition	NOUN
ijassa-1393	247	49	step	step	NOUN
ijassa-1393	247	50	3	3	NUM
ijassa-1393	247	51	:	:	PUNCT
ijassa-1393	247	52	calculate	calculate	VERB
ijassa-1393	247	53	the	the	DET
ijassa-1393	247	54	covariance	covariance	NOUN
ijassa-1393	247	55	matrix	matrix	NOUN
ijassa-1393	247	56	's	's	PART
ijassa-1393	247	57	eigenvalues	eigenvalue	NOUN
ijassa-1393	247	58	(	(	PUNCT
ijassa-1393	247	59	)	)	PUNCT
ijassa-1393	247	60	and	and	CCONJ
ijassa-1393	247	61	eigenvectors	eigenvector	NOUN
ijassa-1393	247	62	(	(	PUNCT
ijassa-1393	247	63	.	.	PUNCT
ijassa-1393	248	1	step-4	step-4	NUM
ijassa-1393	248	2	:	:	PUNCT
ijassa-1393	248	3	estimate	estimate	VERB
ijassa-1393	248	4	eigenvectors	eigenvector	NOUN
ijassa-1393	248	5	of	of	ADP
ijassa-1393	248	6	high	high	ADJ
ijassa-1393	248	7	value	value	NOUN
ijassa-1393	248	8	,	,	PUNCT
ijassa-1393	248	9	number	number	NOUN
ijassa-1393	248	10	of	of	ADP
ijassa-1393	248	11	high	high	ADV
ijassa-1393	248	12	valued	value	VERB
ijassa-1393	248	13	selected	select	VERB
ijassa-1393	248	14	step-5	step-5	NOUN
ijassa-1393	248	15	:	:	PUNCT
ijassa-1393	248	16	extract	extract	VERB
ijassa-1393	248	17	features	feature	NOUN
ijassa-1393	248	18	of	of	ADP
ijassa-1393	248	19	low	low	ADJ
ijassa-1393	248	20	dimension	dimension	NOUN
ijassa-1393	248	21	from	from	ADP
ijassa-1393	248	22	the	the	DET
ijassa-1393	248	23	raw	raw	ADJ
ijassa-1393	248	24	feature	feature	NOUN
ijassa-1393	248	25	-	-	PUNCT
ijassa-1393	248	26	matrix	matrix	NOUN
ijassa-1393	248	27	as	as	ADP
ijassa-1393	248	28	where	where	SCONJ
ijassa-1393	248	29	represents	represent	VERB
ijassa-1393	248	30	the	the	DET
ijassa-1393	248	31	principal	principal	ADJ
ijassa-1393	248	32	component	component	NOUN
ijassa-1393	248	33	matrix	matrix	NOUN
ijassa-1393	248	34	and	and	CCONJ
ijassa-1393	248	35	denotes	denote	VERB
ijassa-1393	248	36	the	the	DET
ijassa-1393	248	37	feature	feature	NOUN
ijassa-1393	248	38	matrix	matrix	NOUN
ijassa-1393	248	39	.	.	PUNCT
ijassa-1393	249	1	as	as	SCONJ
ijassa-1393	249	2	shown	show	VERB
ijassa-1393	249	3	in	in	ADP
ijassa-1393	249	4	algorithm	algorithm	NOUN
ijassa-1393	249	5	-	-	PUNCT
ijassa-1393	249	6	i	i	PRON
ijassa-1393	249	7	,	,	PUNCT
ijassa-1393	249	8	the	the	DET
ijassa-1393	249	9	mean	mean	NOUN
ijassa-1393	249	10	of	of	ADP
ijassa-1393	249	11	the	the	DET
ijassa-1393	249	12	feature	feature	NOUN
ijassa-1393	249	13	vector	vector	NOUN
ijassa-1393	249	14	is	be	AUX
ijassa-1393	249	15	initially	initially	ADV
ijassa-1393	249	16	computed	compute	VERB
ijassa-1393	249	17	.	.	PUNCT
ijassa-1393	250	1	following	follow	VERB
ijassa-1393	250	2	this	this	PRON
ijassa-1393	250	3	,	,	PUNCT
ijassa-1393	250	4	the	the	DET
ijassa-1393	250	5	covariance	covariance	NOUN
ijassa-1393	250	6	matrix	matrix	NOUN
ijassa-1393	250	7	is	be	AUX
ijassa-1393	250	8	computed	compute	VERB
ijassa-1393	250	9	.	.	PUNCT
ijassa-1393	251	1	then	then	ADV
ijassa-1393	251	2	,	,	PUNCT
ijassa-1393	251	3	eigen	eigen	PROPN
ijassa-1393	251	4	values	value	NOUN
ijassa-1393	251	5	and	and	CCONJ
ijassa-1393	251	6	eigen	eigen	PROPN
ijassa-1393	251	7	vectors	vector	NOUN
ijassa-1393	251	8	for	for	ADP
ijassa-1393	251	9	the	the	DET
ijassa-1393	251	10	corresponding	corresponding	ADJ
ijassa-1393	251	11	covariance	covariance	NOUN
ijassa-1393	251	12	matrix	matrix	NOUN
ijassa-1393	251	13	are	be	AUX
ijassa-1393	251	14	calculated	calculate	VERB
ijassa-1393	251	15	.	.	PUNCT
ijassa-1393	252	1	next	next	ADV
ijassa-1393	252	2	,	,	PUNCT
ijassa-1393	252	3	eigenvectors	eigenvector	NOUN
ijassa-1393	252	4	are	be	AUX
ijassa-1393	252	5	estimated	estimate	VERB
ijassa-1393	252	6	as	as	ADP
ijassa-1393	252	7	per	per	ADP
ijassa-1393	252	8	step	step	NOUN
ijassa-1393	252	9	4	4	NUM
ijassa-1393	252	10	.	.	PUNCT
ijassa-1393	253	1	finally	finally	ADV
ijassa-1393	253	2	,	,	PUNCT
ijassa-1393	253	3	the	the	DET
ijassa-1393	253	4	features	feature	NOUN
ijassa-1393	253	5	with	with	ADP
ijassa-1393	253	6	low	low	ADJ
ijassa-1393	253	7	dimensions	dimension	NOUN
ijassa-1393	253	8	are	be	AUX
ijassa-1393	253	9	extracted	extract	VERB
ijassa-1393	253	10	from	from	ADP
ijassa-1393	253	11	raw	raw	ADJ
ijassa-1393	253	12	features	feature	NOUN
ijassa-1393	253	13	.	.	PUNCT
ijassa-1393	254	1	3.3	3.3	NUM
ijassa-1393	254	2	.	.	PUNCT
ijassa-1393	255	1	classificationwut	classificationwut	NOUN
ijassa-1393	255	2	-	-	PUNCT
ijassa-1393	255	3	rf	rf	PRON
ijassa-1393	255	4	(	(	PUNCT
ijassa-1393	255	5	weight	weight	NOUN
ijassa-1393	255	6	updated	update	VERB
ijassa-1393	255	7	tuned	tune	VERB
ijassa-1393	255	8	random	random	ADJ
ijassa-1393	255	9	forest	forest	NOUN
ijassa-1393	255	10	)	)	PUNCT
ijassa-1393	256	1	the	the	DET
ijassa-1393	256	2	present	present	ADJ
ijassa-1393	256	3	study	study	NOUN
ijassa-1393	256	4	considers	consider	VERB
ijassa-1393	256	5	rf	rf	PRON
ijassa-1393	256	6	as	as	SCONJ
ijassa-1393	256	7	it	it	PRON
ijassa-1393	256	8	is	be	AUX
ijassa-1393	256	9	capable	capable	ADJ
ijassa-1393	256	10	of	of	ADP
ijassa-1393	256	11	affording	afford	VERB
ijassa-1393	256	12	better	well	ADJ
ijassa-1393	256	13	performance	performance	NOUN
ijassa-1393	256	14	.	.	PUNCT
ijassa-1393	257	1	it	it	PRON
ijassa-1393	257	2	could	could	AUX
ijassa-1393	257	3	also	also	ADV
ijassa-1393	257	4	deal	deal	VERB
ijassa-1393	257	5	with	with	ADP
ijassa-1393	257	6	big	big	ADJ
ijassa-1393	257	7	data	datum	NOUN
ijassa-1393	257	8	having	have	VERB
ijassa-1393	257	9	numerous	numerous	ADJ
ijassa-1393	257	10	variables	variable	NOUN
ijassa-1393	257	11	operating	operate	VERB
ijassa-1393	257	12	in	in	ADP
ijassa-1393	257	13	thousands	thousand	NOUN
ijassa-1393	257	14	.	.	PUNCT
ijassa-1393	258	1	it	it	PRON
ijassa-1393	258	2	could	could	AUX
ijassa-1393	258	3	perform	perform	VERB
ijassa-1393	258	4	automatic	automatic	ADJ
ijassa-1393	258	5	dataset	dataset	NOUN
ijassa-1393	258	6	balance	balance	NOUN
ijassa-1393	258	7	while	while	SCONJ
ijassa-1393	258	8	a	a	DET
ijassa-1393	258	9	class	class	NOUN
ijassa-1393	258	10	seems	seem	VERB
ijassa-1393	258	11	more	more	ADV
ijassa-1393	258	12	infrequent	infrequent	ADJ
ijassa-1393	258	13	than	than	ADP
ijassa-1393	258	14	any	any	DET
ijassa-1393	258	15	other	other	ADJ
ijassa-1393	258	16	data	data	NOUN
ijassa-1393	258	17	class	class	NOUN
ijassa-1393	258	18	.	.	PUNCT
ijassa-1393	259	1	this	this	DET
ijassa-1393	259	2	algorithm	algorithm	NOUN
ijassa-1393	259	3	includes	include	VERB
ijassa-1393	259	4	additional	additional	ADJ
ijassa-1393	259	5	randomness	randomness	NOUN
ijassa-1393	259	6	to	to	ADP
ijassa-1393	259	7	the	the	DET
ijassa-1393	259	8	model	model	NOUN
ijassa-1393	259	9	while	while	SCONJ
ijassa-1393	259	10	developing	develop	VERB
ijassa-1393	259	11	trees	tree	NOUN
ijassa-1393	259	12	.	.	PUNCT
ijassa-1393	260	1	during	during	ADP
ijassa-1393	260	2	node	node	ADJ
ijassa-1393	260	3	split	split	NOUN
ijassa-1393	260	4	,	,	PUNCT
ijassa-1393	260	5	it	it	PRON
ijassa-1393	260	6	searches	search	VERB
ijassa-1393	260	7	optimal	optimal	ADJ
ijassa-1393	260	8	features	feature	NOUN
ijassa-1393	260	9	within	within	ADP
ijassa-1393	260	10	random	random	ADJ
ijassa-1393	260	11	feature	feature	NOUN
ijassa-1393	260	12	subsets	subset	NOUN
ijassa-1393	260	13	rather	rather	ADV
ijassa-1393	260	14	than	than	ADP
ijassa-1393	260	15	for	for	ADP
ijassa-1393	260	16	a	a	DET
ijassa-1393	260	17	significant	significant	ADJ
ijassa-1393	260	18	feature	feature	NOUN
ijassa-1393	260	19	.	.	PUNCT
ijassa-1393	261	1	hence	hence	ADV
ijassa-1393	261	2	,	,	PUNCT
ijassa-1393	261	3	it	it	PRON
ijassa-1393	261	4	minimizes	minimize	VERB
ijassa-1393	261	5	overfitting	overfitte	VERB
ijassa-1393	261	6	issues	issue	NOUN
ijassa-1393	261	7	in	in	ADP
ijassa-1393	261	8	dts	dts	PROPN
ijassa-1393	261	9	(	(	PUNCT
ijassa-1393	261	10	decision	decision	NOUN
ijassa-1393	261	11	trees	tree	NOUN
ijassa-1393	261	12	)	)	PUNCT
ijassa-1393	261	13	and	and	CCONJ
ijassa-1393	261	14	alleviates	alleviate	VERB
ijassa-1393	261	15	variance	variance	NOUN
ijassa-1393	261	16	,	,	PUNCT
ijassa-1393	261	17	enhancing	enhance	VERB
ijassa-1393	261	18	accuracy	accuracy	NOUN
ijassa-1393	261	19	.	.	PUNCT
ijassa-1393	262	1	the	the	DET
ijassa-1393	262	2	process	process	NOUN
ijassa-1393	262	3	while	while	SCONJ
ijassa-1393	262	4	considering	consider	VERB
ijassa-1393	262	5	rf	rf	VERB
ijassa-1393	262	6	for	for	ADP
ijassa-1393	262	7	the	the	DET
ijassa-1393	262	8	classification	classification	NOUN
ijassa-1393	262	9	process	process	NOUN
ijassa-1393	262	10	is	be	AUX
ijassa-1393	262	11	depicted	depict	VERB
ijassa-1393	262	12	in	in	ADP
ijassa-1393	262	13	pseudocode	pseudocode	PROPN
ijassa-1393	262	14	-	-	PUNCT
ijassa-1393	262	15	i.	i.	PROPN
ijassa-1393	262	16	pseudocode	pseudocode	PROPN
ijassa-1393	262	17	-	-	PUNCT
ijassa-1393	262	18	i	i	PROPN
ijassa-1393	262	19	:	:	PUNCT
ijassa-1393	262	20	rf	rf	ADJ
ijassa-1393	262	21	(	(	PUNCT
ijassa-1393	262	22	random	random	ADJ
ijassa-1393	262	23	forest	forest	NOUN
ijassa-1393	262	24	)	)	PUNCT
ijassa-1393	262	25	deep	deep	ADJ
ijassa-1393	262	26	feature	feature	NOUN
ijassa-1393	262	27	extraction	extraction	NOUN
ijassa-1393	262	28	and	and	CCONJ
ijassa-1393	262	29	weight	weight	NOUN
ijassa-1393	262	30	updated	update	VERB
ijassa-1393	262	31	tuned	tune	VERB
ijassa-1393	262	32	random	random	ADJ
ijassa-1393	262	33	forest	forest	NOUN
ijassa-1393	262	34	…	…	PUNCT
ijassa-1393	262	35	139	139	NUM
ijassa-1393	262	36	copyright	copyright	NOUN
ijassa-1393	262	37	©	©	PROPN
ijassa-1393	262	38	2023	2023	NUM
ijassa-1393	262	39	assa	assa	NOUN
ijassa-1393	262	40	.	.	PUNCT
ijassa-1393	263	1	adv	adv	PROPN
ijassa-1393	263	2	.	.	PUNCT
ijassa-1393	264	1	in	in	ADP
ijassa-1393	264	2	systems	system	NOUN
ijassa-1393	264	3	science	science	NOUN
ijassa-1393	264	4	and	and	CCONJ
ijassa-1393	264	5	appl	appl	NOUN
ijassa-1393	264	6	.	.	PUNCT
ijassa-1393	265	1	(	(	PUNCT
ijassa-1393	265	2	2023	2023	NUM
ijassa-1393	265	3	)	)	PUNCT
ijassa-1393	265	4	in	in	ADP
ijassa-1393	265	5	this	this	DET
ijassa-1393	265	6	study	study	NOUN
ijassa-1393	265	7	,	,	PUNCT
ijassa-1393	265	8	k	k	ADJ
ijassa-1393	265	9	-	-	ADJ
ijassa-1393	265	10	fold	fold	ADJ
ijassa-1393	265	11	cross	cross	NOUN
ijassa-1393	265	12	-	-	ADJ
ijassa-1393	265	13	validation	validation	NOUN
ijassa-1393	265	14	encompasses	encompass	VERB
ijassa-1393	265	15	a	a	DET
ijassa-1393	265	16	dataset	dataset	NOUN
ijassa-1393	265	17	split	split	NOUN
ijassa-1393	265	18	into	into	ADP
ijassa-1393	265	19	k	k	PROPN
ijassa-1393	265	20	partitions	partition	NOUN
ijassa-1393	265	21	.	.	PUNCT
ijassa-1393	266	1	the	the	DET
ijassa-1393	266	2	main	main	ADJ
ijassa-1393	266	3	notion	notion	NOUN
ijassa-1393	266	4	behind	behind	ADP
ijassa-1393	266	5	this	this	DET
ijassa-1393	266	6	process	process	NOUN
ijassa-1393	266	7	is	be	AUX
ijassa-1393	266	8	cross	cross	ADJ
ijassa-1393	266	9	-	-	NOUN
ijassa-1393	266	10	validation	validation	ADJ
ijassa-1393	266	11	with	with	ADP
ijassa-1393	266	12	a	a	DET
ijassa-1393	266	13	search	search	NOUN
ijassa-1393	266	14	algorithm	algorithm	NOUN
ijassa-1393	266	15	wherein	wherein	ADJ
ijassa-1393	266	16	hyperparameters	hyperparameter	NOUN
ijassa-1393	266	17	are	be	AUX
ijassa-1393	266	18	inputted	inputte	VERB
ijassa-1393	266	19	prior	prior	ADV
ijassa-1393	266	20	to	to	ADP
ijassa-1393	266	21	model	model	NOUN
ijassa-1393	266	22	training	training	NOUN
ijassa-1393	266	23	.	.	PUNCT
ijassa-1393	267	1	then	then	ADV
ijassa-1393	267	2	,	,	PUNCT
ijassa-1393	267	3	by	by	ADP
ijassa-1393	267	4	integrating	integrate	VERB
ijassa-1393	267	5	random	random	ADJ
ijassa-1393	267	6	search	search	NOUN
ijassa-1393	267	7	,	,	PUNCT
ijassa-1393	267	8	the	the	DET
ijassa-1393	267	9	model	model	NOUN
ijassa-1393	267	10	fits	fit	VERB
ijassa-1393	267	11	individual	individual	ADJ
ijassa-1393	267	12	pairs	pair	NOUN
ijassa-1393	267	13	of	of	ADP
ijassa-1393	267	14	varied	varied	ADJ
ijassa-1393	267	15	hyperparameter	hyperparameter	NOUN
ijassa-1393	267	16	sets	set	NOUN
ijassa-1393	267	17	in	in	ADP
ijassa-1393	267	18	individual	individual	ADJ
ijassa-1393	267	19	cross	cross	NOUN
ijassa-1393	267	20	-	-	NOUN
ijassa-1393	267	21	validation	validation	NOUN
ijassa-1393	267	22	.	.	PUNCT
ijassa-1393	268	1	this	this	DET
ijassa-1393	268	2	overall	overall	ADJ
ijassa-1393	268	3	process	process	NOUN
ijassa-1393	268	4	is	be	AUX
ijassa-1393	268	5	depicted	depict	VERB
ijassa-1393	268	6	in	in	ADP
ijassa-1393	268	7	pseudocode	pseudocode	NOUN
ijassa-1393	268	8	-	-	PUNCT
ijassa-1393	268	9	iiwhere	iiwhere	NOUN
ijassa-1393	268	10	require	require	NOUN
ijassa-1393	268	11	indicates	indicate	VERB
ijassa-1393	268	12	the	the	DET
ijassa-1393	268	13	input	input	NOUN
ijassa-1393	268	14	to	to	PART
ijassa-1393	268	15	be	be	AUX
ijassa-1393	268	16	afforded	afford	VERB
ijassa-1393	268	17	,	,	PUNCT
ijassa-1393	268	18	and	and	CCONJ
ijassa-1393	268	19	randomsample	randomsample	NOUN
ijassa-1393	268	20	indicates	indicate	VERB
ijassa-1393	268	21	the	the	DET
ijassa-1393	268	22	function	function	NOUN
ijassa-1393	268	23	which	which	PRON
ijassa-1393	268	24	considers	consider	VERB
ijassa-1393	268	25	a	a	DET
ijassa-1393	268	26	random	random	ADJ
ijassa-1393	268	27	set	set	NOUN
ijassa-1393	268	28	from	from	ADP
ijassa-1393	268	29	hyperparameter	hyperparameter	NOUN
ijassa-1393	268	30	.	.	PUNCT
ijassa-1393	269	1	pseudocode	pseudocode	PROPN
ijassa-1393	269	2	-	-	PUNCT
ijassa-1393	269	3	ii	ii	PROPN
ijassa-1393	269	4	:	:	PUNCT
ijassa-1393	269	5	k	k	ADJ
ijassa-1393	269	6	-	-	ADJ
ijassa-1393	269	7	fold	fold	ADJ
ijassa-1393	269	8	cross	cross	NOUN
ijassa-1393	269	9	-	-	NOUN
ijassa-1393	269	10	validation	validation	NOUN
ijassa-1393	269	11	with	with	ADP
ijassa-1393	269	12	random	random	ADJ
ijassa-1393	269	13	search	search	NOUN
ijassa-1393	269	14	through	through	ADP
ijassa-1393	269	15	the	the	DET
ijassa-1393	269	16	k	k	ADJ
ijassa-1393	269	17	-	-	ADJ
ijassa-1393	269	18	fold	fold	ADJ
ijassa-1393	269	19	cross	cross	NOUN
ijassa-1393	269	20	-	-	NOUN
ijassa-1393	269	21	validation	validation	NOUN
ijassa-1393	269	22	with	with	ADP
ijassa-1393	269	23	random	random	ADJ
ijassa-1393	269	24	search	search	NOUN
ijassa-1393	269	25	,	,	PUNCT
ijassa-1393	269	26	optimal	optimal	ADJ
ijassa-1393	269	27	hyperparameters	hyperparameter	NOUN
ijassa-1393	269	28	are	be	AUX
ijassa-1393	269	29	selected	select	VERB
ijassa-1393	269	30	.	.	PUNCT
ijassa-1393	270	1	the	the	DET
ijassa-1393	270	2	overall	overall	ADJ
ijassa-1393	270	3	process	process	NOUN
ijassa-1393	270	4	involved	involve	VERB
ijassa-1393	270	5	in	in	ADP
ijassa-1393	270	6	hyperparameter	hyperparameter	NOUN
ijassa-1393	270	7	tuning	tune	VERB
ijassa-1393	270	8	with	with	ADP
ijassa-1393	270	9	weighted	weight	VERB
ijassa-1393	270	10	cross	cross	ADJ
ijassa-1393	270	11	-	-	ADJ
ijassa-1393	270	12	fold	fold	ADJ
ijassa-1393	270	13	validation	validation	NOUN
ijassa-1393	270	14	is	be	AUX
ijassa-1393	270	15	given	give	VERB
ijassa-1393	270	16	by	by	ADP
ijassa-1393	270	17	pseudocode	pseudocode	PROPN
ijassa-1393	270	18	-	-	PUNCT
ijassa-1393	270	19	iii	iii	NOUN
ijassa-1393	270	20	,	,	PUNCT
ijassa-1393	270	21	that	that	PRON
ijassa-1393	270	22	finally	finally	ADV
ijassa-1393	270	23	affords	afford	VERB
ijassa-1393	270	24	the	the	DET
ijassa-1393	270	25	classification	classification	NOUN
ijassa-1393	270	26	of	of	ADP
ijassa-1393	270	27	piper	piper	NOUN
ijassa-1393	270	28	and	and	CCONJ
ijassa-1393	270	29	all	all	DET
ijassa-1393	270	30	plant	plant	NOUN
ijassa-1393	270	31	types	type	NOUN
ijassa-1393	270	32	.	.	PUNCT
ijassa-1393	271	1	in	in	ADP
ijassa-1393	271	2	this	this	DET
ijassa-1393	271	3	process	process	NOUN
ijassa-1393	271	4	,	,	PUNCT
ijassa-1393	271	5	selecting	select	VERB
ijassa-1393	271	6	optimal	optimal	ADJ
ijassa-1393	271	7	hyperparameters	hyperparameter	NOUN
ijassa-1393	271	8	and	and	CCONJ
ijassa-1393	271	9	tuning	tune	VERB
ijassa-1393	271	10	assists	assist	NOUN
ijassa-1393	271	11	in	in	ADP
ijassa-1393	271	12	enhancing	enhance	VERB
ijassa-1393	271	13	the	the	DET
ijassa-1393	271	14	classifier	classifier	NOUN
ijassa-1393	271	15	performance	performance	NOUN
ijassa-1393	271	16	.	.	PUNCT
ijassa-1393	272	1	pseudocode	pseudocode	PROPN
ijassa-1393	272	2	-	-	PUNCT
ijassa-1393	272	3	iii	iii	PROPN
ijassa-1393	272	4	:	:	PUNCT
ijassa-1393	272	5	rf	rf	ADJ
ijassa-1393	272	6	hyperparameter	hyperparameter	NOUN
ijassa-1393	272	7	tuning	tune	VERB
ijassa-1393	272	8	with	with	ADP
ijassa-1393	272	9	weighted	weight	VERB
ijassa-1393	272	10	cross	cross	PROPN
ijassa-1393	272	11	fold	fold	NOUN
ijassa-1393	272	12	validation	validation	NOUN
ijassa-1393	272	13	140	140	NUM
ijassa-1393	272	14	i.	i.	PROPN
ijassa-1393	272	15	petrov	petrov	PROPN
ijassa-1393	272	16	,	,	PUNCT
ijassa-1393	272	17	j.f	j.f	PROPN
ijassa-1393	272	18	.	.	PROPN
ijassa-1393	272	19	doe	doe	NOUN
ijassa-1393	272	20	copyright	copyright	NOUN
ijassa-1393	272	21	©	©	PROPN
ijassa-1393	272	22	2023	2023	NUM
ijassa-1393	272	23	assa	assa	PROPN
ijassa-1393	272	24	adv	adv	PROPN
ijassa-1393	272	25	.	.	PUNCT
ijassa-1393	273	1	in	in	ADP
ijassa-1393	273	2	systems	system	NOUN
ijassa-1393	273	3	science	science	NOUN
ijassa-1393	273	4	and	and	CCONJ
ijassa-1393	273	5	appl	appl	NOUN
ijassa-1393	273	6	.	.	PUNCT
ijassa-1393	274	1	(	(	PUNCT
ijassa-1393	274	2	2023	2023	NUM
ijassa-1393	274	3	)	)	PUNCT
ijassa-1393	274	4	4	4	NUM
ijassa-1393	274	5	.	.	NOUN
ijassa-1393	274	6	results	result	NOUN
ijassa-1393	274	7	and	and	CCONJ
ijassa-1393	274	8	discussion	discussion	NOUN
ijassa-1393	274	9	the	the	DET
ijassa-1393	274	10	outcomes	outcome	NOUN
ijassa-1393	274	11	procured	procure	VERB
ijassa-1393	274	12	through	through	ADP
ijassa-1393	274	13	the	the	DET
ijassa-1393	274	14	execution	execution	NOUN
ijassa-1393	274	15	of	of	ADP
ijassa-1393	274	16	the	the	DET
ijassa-1393	274	17	proposed	propose	VERB
ijassa-1393	274	18	system	system	NOUN
ijassa-1393	274	19	are	be	AUX
ijassa-1393	274	20	presented	present	VERB
ijassa-1393	274	21	in	in	ADP
ijassa-1393	274	22	this	this	DET
ijassa-1393	274	23	section	section	NOUN
ijassa-1393	274	24	with	with	ADP
ijassa-1393	274	25	dataset	dataset	ADJ
ijassa-1393	274	26	description	description	NOUN
ijassa-1393	274	27	and	and	CCONJ
ijassa-1393	274	28	performance	performance	NOUN
ijassa-1393	274	29	metrics	metric	NOUN
ijassa-1393	274	30	.	.	PUNCT
ijassa-1393	275	1	deep	deep	ADJ
ijassa-1393	275	2	feature	feature	NOUN
ijassa-1393	275	3	extraction	extraction	NOUN
ijassa-1393	275	4	and	and	CCONJ
ijassa-1393	275	5	weight	weight	NOUN
ijassa-1393	275	6	updated	update	VERB
ijassa-1393	275	7	tuned	tune	VERB
ijassa-1393	275	8	random	random	ADJ
ijassa-1393	275	9	forest	forest	NOUN
ijassa-1393	275	10	…	…	PUNCT
ijassa-1393	275	11	141	141	NUM
ijassa-1393	275	12	copyright	copyright	NOUN
ijassa-1393	275	13	©	©	PROPN
ijassa-1393	275	14	2023	2023	NUM
ijassa-1393	275	15	assa	assa	NOUN
ijassa-1393	275	16	.	.	PUNCT
ijassa-1393	276	1	adv	adv	PROPN
ijassa-1393	276	2	.	.	PUNCT
ijassa-1393	277	1	in	in	ADP
ijassa-1393	277	2	systems	system	NOUN
ijassa-1393	277	3	science	science	NOUN
ijassa-1393	277	4	and	and	CCONJ
ijassa-1393	277	5	appl	appl	NOUN
ijassa-1393	277	6	.	.	PUNCT
ijassa-1393	278	1	(	(	PUNCT
ijassa-1393	278	2	2023	2023	NUM
ijassa-1393	278	3	)	)	PUNCT
ijassa-1393	278	4	4.1	4.1	NUM
ijassa-1393	278	5	.	.	PUNCT
ijassa-1393	279	1	dataset	dataset	ADJ
ijassa-1393	279	2	description	description	NOUN
ijassa-1393	279	3	dataset	dataset	VERB
ijassa-1393	279	4	considered	consider	VERB
ijassa-1393	279	5	in	in	ADP
ijassa-1393	279	6	this	this	DET
ijassa-1393	279	7	research	research	NOUN
ijassa-1393	279	8	includes	include	VERB
ijassa-1393	279	9	all	all	DET
ijassa-1393	279	10	plant	plant	NOUN
ijassa-1393	279	11	kinds	kind	NOUN
ijassa-1393	279	12	and	and	CCONJ
ijassa-1393	279	13	piper	piper	NOUN
ijassa-1393	279	14	plant	plant	NOUN
ijassa-1393	279	15	kinds	kind	NOUN
ijassa-1393	279	16	.	.	PUNCT
ijassa-1393	280	1	the	the	DET
ijassa-1393	280	2	normal	normal	ADJ
ijassa-1393	280	3	plant	plant	NOUN
ijassa-1393	280	4	kind	kind	NOUN
ijassa-1393	280	5	dataset	dataset	NOUN
ijassa-1393	280	6	is	be	AUX
ijassa-1393	280	7	depicted	depict	VERB
ijassa-1393	280	8	in	in	ADP
ijassa-1393	280	9	table	table	NOUN
ijassa-1393	280	10	1	1	NUM
ijassa-1393	280	11	,	,	PUNCT
ijassa-1393	280	12	while	while	SCONJ
ijassa-1393	280	13	the	the	DET
ijassa-1393	280	14	specific	specific	ADJ
ijassa-1393	280	15	piper	piper	NOUN
ijassa-1393	280	16	plant	plant	NOUN
ijassa-1393	280	17	type	type	NOUN
ijassa-1393	280	18	dataset	dataset	NOUN
ijassa-1393	280	19	is	be	AUX
ijassa-1393	280	20	shown	show	VERB
ijassa-1393	280	21	in	in	ADP
ijassa-1393	280	22	table	table	NOUN
ijassa-1393	280	23	2	2	NUM
ijassa-1393	280	24	.	.	PUNCT
ijassa-1393	281	1	for	for	ADP
ijassa-1393	281	2	the	the	DET
ijassa-1393	281	3	normal	normal	ADJ
ijassa-1393	281	4	plant	plant	NOUN
ijassa-1393	281	5	type	type	NOUN
ijassa-1393	281	6	dataset	dataset	NOUN
ijassa-1393	281	7	,	,	PUNCT
ijassa-1393	281	8	different	different	ADJ
ijassa-1393	281	9	kinds	kind	NOUN
ijassa-1393	281	10	of	of	ADP
ijassa-1393	281	11	plants	plant	NOUN
ijassa-1393	281	12	exist	exist	VERB
ijassa-1393	281	13	,	,	PUNCT
ijassa-1393	281	14	which	which	PRON
ijassa-1393	281	15	include	include	VERB
ijassa-1393	281	16	piper	piper	NOUN
ijassa-1393	281	17	,	,	PUNCT
ijassa-1393	281	18	peach	peach	NOUN
ijassa-1393	281	19	,	,	PUNCT
ijassa-1393	281	20	apple	apple	NOUN
ijassa-1393	281	21	,	,	PUNCT
ijassa-1393	281	22	strawberry	strawberry	NOUN
ijassa-1393	281	23	,	,	PUNCT
ijassa-1393	281	24	etc	etc	X
ijassa-1393	281	25	.	.	X
ijassa-1393	281	26	,	,	PUNCT
ijassa-1393	281	27	as	as	SCONJ
ijassa-1393	281	28	shown	show	VERB
ijassa-1393	281	29	in	in	ADP
ijassa-1393	281	30	table	table	NOUN
ijassa-1393	281	31	1	1	NUM
ijassa-1393	281	32	,	,	PUNCT
ijassa-1393	281	33	with	with	ADP
ijassa-1393	281	34	a	a	DET
ijassa-1393	281	35	total	total	NOUN
ijassa-1393	281	36	of	of	ADP
ijassa-1393	281	37	1607	1607	NUM
ijassa-1393	281	38	images	image	NOUN
ijassa-1393	281	39	.	.	PUNCT
ijassa-1393	282	1	table	table	NOUN
ijassa-1393	282	2	1	1	NUM
ijassa-1393	282	3	.	.	PUNCT
ijassa-1393	283	1	all	all	DET
ijassa-1393	283	2	plant	plant	NOUN
ijassa-1393	283	3	dataset	dataset	VERB
ijassa-1393	283	4	class	class	NOUN
ijassa-1393	283	5	plant	plant	NOUN
ijassa-1393	283	6	classes	class	NOUN
ijassa-1393	283	7	image	image	NOUN
ijassa-1393	283	8	count	count	VERB
ijassa-1393	283	9	1	1	NUM
ijassa-1393	283	10	piper	piper	NOUN
ijassa-1393	283	11	plant	plant	NOUN
ijassa-1393	283	12	172	172	NUM
ijassa-1393	283	13	2	2	NUM
ijassa-1393	283	14	apple	apple	NOUN
ijassa-1393	283	15	plant	plant	NOUN
ijassa-1393	283	16	260	260	NUM
ijassa-1393	283	17	3	3	NUM
ijassa-1393	283	18	peach	peach	NOUN
ijassa-1393	283	19	plant	plant	NOUN
ijassa-1393	283	20	180	180	NUM
ijassa-1393	283	21	4	4	NUM
ijassa-1393	283	22	strawberry	strawberry	NOUN
ijassa-1393	283	23	plant	plant	NOUN
ijassa-1393	283	24	200	200	NUM
ijassa-1393	283	25	5	5	NUM
ijassa-1393	283	26	cherry	cherry	NOUN
ijassa-1393	283	27	plant	plant	NOUN
ijassa-1393	283	28	160	160	NUM
ijassa-1393	283	29	6	6	NUM
ijassa-1393	283	30	grape	grape	NOUN
ijassa-1393	283	31	plant	plant	NOUN
ijassa-1393	283	32	130	130	NUM
ijassa-1393	283	33	7	7	NUM
ijassa-1393	283	34	corn	corn	NOUN
ijassa-1393	283	35	plant	plant	NOUN
ijassa-1393	283	36	151	151	NUM
ijassa-1393	283	37	8	8	NUM
ijassa-1393	283	38	paddy	paddy	NOUN
ijassa-1393	283	39	plant	plant	NOUN
ijassa-1393	283	40	150	150	NUM
ijassa-1393	283	41	9	9	NUM
ijassa-1393	283	42	rice	rice	NOUN
ijassa-1393	283	43	plant	plant	NOUN
ijassa-1393	283	44	209	209	NUM
ijassa-1393	283	45	10	10	NUM
ijassa-1393	283	46	soya	soya	NOUN
ijassa-1393	283	47	plant	plant	NOUN
ijassa-1393	283	48	160	160	NUM
ijassa-1393	283	49	11	11	NUM
ijassa-1393	283	50	potato	potato	NOUN
ijassa-1393	283	51	plant	plant	NOUN
ijassa-1393	283	52	152	152	NUM
ijassa-1393	283	53	12	12	NUM
ijassa-1393	283	54	tomato	tomato	NOUN
ijassa-1393	283	55	plant	plant	NOUN
ijassa-1393	283	56	132	132	NUM
ijassa-1393	283	57	furthermore	furthermore	ADV
ijassa-1393	283	58	,	,	PUNCT
ijassa-1393	283	59	for	for	SCONJ
ijassa-1393	283	60	the	the	DET
ijassa-1393	283	61	piper	piper	NOUN
ijassa-1393	283	62	plant	plant	NOUN
ijassa-1393	283	63	dataset	dataset	VERB
ijassa-1393	283	64	,	,	PUNCT
ijassa-1393	283	65	various	various	ADJ
ijassa-1393	283	66	piper	piper	NOUN
ijassa-1393	283	67	plant	plant	NOUN
ijassa-1393	283	68	kinds	kind	NOUN
ijassa-1393	283	69	are	be	AUX
ijassa-1393	283	70	regarded	regard	VERB
ijassa-1393	283	71	as	as	SCONJ
ijassa-1393	283	72	shown	show	VERB
ijassa-1393	283	73	in	in	ADP
ijassa-1393	283	74	table	table	NOUN
ijassa-1393	283	75	2	2	NUM
ijassa-1393	283	76	,	,	PUNCT
ijassa-1393	283	77	namely	namely	ADV
ijassa-1393	283	78	piper	piper	NOUN
ijassa-1393	283	79	mullesa	mullesa	NOUN
ijassa-1393	283	80	,	,	PUNCT
ijassa-1393	283	81	piper	piper	NOUN
ijassa-1393	283	82	adunucum	adunucum	NOUN
ijassa-1393	283	83	,	,	PUNCT
ijassa-1393	283	84	piper	piper	NOUN
ijassa-1393	283	85	argyrites	argyrite	NOUN
ijassa-1393	283	86	,	,	PUNCT
ijassa-1393	283	87	etc	etc	X
ijassa-1393	283	88	.	.	X
ijassa-1393	283	89	,	,	PUNCT
ijassa-1393	283	90	with	with	ADP
ijassa-1393	283	91	2056	2056	NUM
ijassa-1393	283	92	images	image	NOUN
ijassa-1393	283	93	.	.	PUNCT
ijassa-1393	284	1	table	table	NOUN
ijassa-1393	284	2	2	2	NUM
ijassa-1393	284	3	.	.	X
ijassa-1393	284	4	piper	piper	NOUN
ijassa-1393	284	5	plant	plant	NOUN
ijassa-1393	284	6	dataset	dataset	VERB
ijassa-1393	284	7	class	class	NOUN
ijassa-1393	284	8	piper	piper	NOUN
ijassa-1393	284	9	classes	class	NOUN
ijassa-1393	284	10	image	image	NOUN
ijassa-1393	284	11	count	count	VERB
ijassa-1393	284	12	1	1	NUM
ijassa-1393	284	13	piper	piper	NOUN
ijassa-1393	284	14	mullesa	mullesa	NOUN
ijassa-1393	284	15	102	102	NUM
ijassa-1393	284	16	2	2	NUM
ijassa-1393	284	17	piper	piper	NOUN
ijassa-1393	284	18	nigrum	nigrum	NOUN
ijassa-1393	284	19	100	100	NUM
ijassa-1393	284	20	3	3	NUM
ijassa-1393	284	21	piper	piper	NOUN
ijassa-1393	284	22	adunucum	adunucum	NOUN
ijassa-1393	284	23	100	100	NUM
ijassa-1393	284	24	4	4	NUM
ijassa-1393	284	25	piper	piper	NOUN
ijassa-1393	284	26	argyrites	argyrite	NOUN
ijassa-1393	284	27	101	101	NUM
ijassa-1393	284	28	5	5	NUM
ijassa-1393	284	29	piper	piper	NOUN
ijassa-1393	284	30	umbellatum	umbellatum	NOUN
ijassa-1393	284	31	103	103	NUM
ijassa-1393	285	1	6	6	NUM
ijassa-1393	285	2	piper	piper	NOUN
ijassa-1393	285	3	excelsum	excelsum	VERB
ijassa-1393	285	4	107	107	NUM
ijassa-1393	285	5	7	7	NUM
ijassa-1393	285	6	piper	piper	NOUN
ijassa-1393	285	7	parmatum	parmatum	NOUN
ijassa-1393	285	8	103	103	NUM
ijassa-1393	285	9	8	8	NUM
ijassa-1393	285	10	piper	piper	NOUN
ijassa-1393	285	11	orantum	orantum	NOUN
ijassa-1393	285	12	102	102	NUM
ijassa-1393	285	13	9	9	NUM
ijassa-1393	285	14	piper	piper	NOUN
ijassa-1393	285	15	porphyrophyllum	porphyrophyllum	NOUN
ijassa-1393	285	16	102	102	NUM
ijassa-1393	285	17	10	10	NUM
ijassa-1393	285	18	piper	piper	NOUN
ijassa-1393	285	19	sylvaticum	sylvaticum	ADJ
ijassa-1393	285	20	102	102	NUM
ijassa-1393	285	21	11	11	NUM
ijassa-1393	285	22	piper	piper	NOUN
ijassa-1393	285	23	longum	longum	NOUN
ijassa-1393	285	24	100	100	NUM
ijassa-1393	285	25	12	12	NUM
ijassa-1393	285	26	piper	piper	NOUN
ijassa-1393	285	27	auritum	auritum	NOUN
ijassa-1393	285	28	102	102	NUM
ijassa-1393	285	29	13	13	NUM
ijassa-1393	285	30	pepper	pepper	NOUN
ijassa-1393	285	31	bell	bell	NOUN
ijassa-1393	285	32	180	180	NUM
ijassa-1393	285	33	14	14	NUM
ijassa-1393	285	34	piper	piper	NOUN
ijassa-1393	285	35	sarmentosum	sarmentosum	NOUN
ijassa-1393	285	36	103	103	NUM
ijassa-1393	285	37	15	15	NUM
ijassa-1393	285	38	piper	piper	NOUN
ijassa-1393	285	39	betle	betle	NOUN
ijassa-1393	285	40	100	100	NUM
ijassa-1393	285	41	moreover	moreover	ADV
ijassa-1393	285	42	,	,	PUNCT
ijassa-1393	285	43	the	the	DET
ijassa-1393	285	44	sample	sample	NOUN
ijassa-1393	285	45	images	image	NOUN
ijassa-1393	285	46	for	for	ADP
ijassa-1393	285	47	all	all	DET
ijassa-1393	285	48	plants	plant	NOUN
ijassa-1393	285	49	,	,	PUNCT
ijassa-1393	285	50	including	include	VERB
ijassa-1393	285	51	a	a	DET
ijassa-1393	285	52	piper	piper	NOUN
ijassa-1393	285	53	and	and	CCONJ
ijassa-1393	285	54	other	other	ADJ
ijassa-1393	285	55	plant	plant	NOUN
ijassa-1393	285	56	kinds	kind	NOUN
ijassa-1393	285	57	,	,	PUNCT
ijassa-1393	285	58	are	be	AUX
ijassa-1393	285	59	exposed	expose	VERB
ijassa-1393	285	60	in	in	ADP
ijassa-1393	285	61	figure	figure	NOUN
ijassa-1393	285	62	6	6	NUM
ijassa-1393	285	63	,	,	PUNCT
ijassa-1393	285	64	while	while	SCONJ
ijassa-1393	285	65	the	the	DET
ijassa-1393	285	66	piper	piper	NOUN
ijassa-1393	285	67	plant	plant	NOUN
ijassa-1393	285	68	leaf	leaf	NOUN
ijassa-1393	285	69	dataset	dataset	NOUN
ijassa-1393	285	70	is	be	AUX
ijassa-1393	285	71	depicted	depict	VERB
ijassa-1393	285	72	in	in	ADP
ijassa-1393	285	73	figure	figure	NOUN
ijassa-1393	285	74	7	7	NUM
ijassa-1393	285	75	.	.	NUM
ijassa-1393	285	76	142	142	NUM
ijassa-1393	285	77	i.	i.	PROPN
ijassa-1393	285	78	petrov	petrov	PROPN
ijassa-1393	285	79	,	,	PUNCT
ijassa-1393	285	80	j.f	j.f	PROPN
ijassa-1393	285	81	.	.	PROPN
ijassa-1393	285	82	doe	doe	NOUN
ijassa-1393	285	83	copyright	copyright	NOUN
ijassa-1393	285	84	©	©	PROPN
ijassa-1393	285	85	2023	2023	NUM
ijassa-1393	285	86	assa	assa	PROPN
ijassa-1393	285	87	adv	adv	PROPN
ijassa-1393	285	88	.	.	PUNCT
ijassa-1393	286	1	in	in	ADP
ijassa-1393	286	2	systems	system	NOUN
ijassa-1393	286	3	science	science	NOUN
ijassa-1393	286	4	and	and	CCONJ
ijassa-1393	286	5	appl	appl	NOUN
ijassa-1393	286	6	.	.	PUNCT
ijassa-1393	287	1	(	(	PUNCT
ijassa-1393	287	2	2023	2023	NUM
ijassa-1393	287	3	)	)	PUNCT
ijassa-1393	287	4	piper	piper	NOUN
ijassa-1393	287	5	plant	plant	NOUN
ijassa-1393	287	6	peach	peach	NOUN
ijassa-1393	287	7	plant	plant	NOUN
ijassa-1393	287	8	apple	apple	NOUN
ijassa-1393	287	9	plant	plant	NOUN
ijassa-1393	287	10	strawberry	strawberry	NOUN
ijassa-1393	287	11	plant	plant	NOUN
ijassa-1393	287	12	grape	grape	NOUN
ijassa-1393	287	13	plant	plant	NOUN
ijassa-1393	287	14	cherry	cherry	NOUN
ijassa-1393	287	15	plant	plant	NOUN
ijassa-1393	287	16	paddy	paddy	NOUN
ijassa-1393	287	17	plant	plant	NOUN
ijassa-1393	287	18	soya	soya	NOUN
ijassa-1393	287	19	plant	plant	NOUN
ijassa-1393	287	20	rice	rice	NOUN
ijassa-1393	287	21	plant	plant	NOUN
ijassa-1393	287	22	tomato	tomato	NOUN
ijassa-1393	287	23	plant	plant	NOUN
ijassa-1393	287	24	potato	potato	NOUN
ijassa-1393	287	25	plant	plant	NOUN
ijassa-1393	287	26	corn	corn	NOUN
ijassa-1393	287	27	plant	plant	NOUN
ijassa-1393	287	28	figure	figure	NOUN
ijassa-1393	287	29	6	6	NUM
ijassa-1393	287	30	.	.	PUNCT
ijassa-1393	288	1	all	all	DET
ijassa-1393	288	2	plants	plant	NOUN
ijassa-1393	288	3	dataset	dataset	VERB
ijassa-1393	288	4	samples	sample	NOUN
ijassa-1393	288	5	in	in	ADP
ijassa-1393	288	6	addition	addition	NOUN
ijassa-1393	288	7	,	,	PUNCT
ijassa-1393	288	8	the	the	DET
ijassa-1393	288	9	samples	sample	NOUN
ijassa-1393	288	10	of	of	ADP
ijassa-1393	288	11	the	the	DET
ijassa-1393	288	12	piper	piper	NOUN
ijassa-1393	288	13	plant	plant	NOUN
ijassa-1393	288	14	dataset	dataset	NOUN
ijassa-1393	288	15	are	be	AUX
ijassa-1393	288	16	explored	explore	VERB
ijassa-1393	288	17	in	in	ADP
ijassa-1393	288	18	figure	figure	NOUN
ijassa-1393	288	19	7	7	NUM
ijassa-1393	288	20	.	.	PUNCT
ijassa-1393	288	21	piper	piper	NOUN
ijassa-1393	288	22	mullesa	mullesa	PROPN
ijassa-1393	288	23	piper	piper	PROPN
ijassa-1393	288	24	adunucum	adunucum	PROPN
ijassa-1393	288	25	piper	piper	NOUN
ijassa-1393	288	26	umbellatu	umbellatu	ADJ
ijassa-1393	288	27	piper	piper	NOUN
ijassa-1393	288	28	nigrum	nigrum	NOUN
ijassa-1393	288	29	piper	piper	NOUN
ijassa-1393	288	30	argyrites	argyrites	PROPN
ijassa-1393	288	31	piper	piper	NOUN
ijassa-1393	288	32	excelsum	excelsum	PROPN
ijassa-1393	288	33	piper	piper	NOUN
ijassa-1393	288	34	orantum	orantum	NOUN
ijassa-1393	288	35	piper	piper	NOUN
ijassa-1393	288	36	sylvaticum	sylvaticum	ADJ
ijassa-1393	288	37	piper	piper	NOUN
ijassa-1393	288	38	parmatum	parmatum	NOUN
ijassa-1393	288	39	deep	deep	ADJ
ijassa-1393	288	40	feature	feature	NOUN
ijassa-1393	288	41	extraction	extraction	NOUN
ijassa-1393	288	42	and	and	CCONJ
ijassa-1393	288	43	weight	weight	NOUN
ijassa-1393	288	44	updated	update	VERB
ijassa-1393	288	45	tuned	tune	VERB
ijassa-1393	288	46	random	random	ADJ
ijassa-1393	288	47	forest	forest	NOUN
ijassa-1393	288	48	…	…	PUNCT
ijassa-1393	288	49	143	143	NUM
ijassa-1393	288	50	copyright	copyright	NOUN
ijassa-1393	288	51	©	©	PROPN
ijassa-1393	288	52	2023	2023	NUM
ijassa-1393	288	53	assa	assa	NOUN
ijassa-1393	288	54	.	.	PUNCT
ijassa-1393	289	1	adv	adv	PROPN
ijassa-1393	289	2	.	.	PUNCT
ijassa-1393	290	1	in	in	ADP
ijassa-1393	290	2	systems	system	NOUN
ijassa-1393	290	3	science	science	NOUN
ijassa-1393	290	4	and	and	CCONJ
ijassa-1393	290	5	appl	appl	NOUN
ijassa-1393	290	6	.	.	PUNCT
ijassa-1393	291	1	(	(	PUNCT
ijassa-1393	291	2	2023	2023	NUM
ijassa-1393	291	3	)	)	PUNCT
ijassa-1393	291	4	piper	piper	NOUN
ijassa-1393	291	5	porphyrophyllum	porphyrophyllum	NOUN
ijassa-1393	291	6	piper	piper	NOUN
ijassa-1393	291	7	longum	longum	NOUN
ijassa-1393	291	8	piper	piper	NOUN
ijassa-1393	291	9	sarmentosum	sarmentosum	NOUN
ijassa-1393	291	10	pepper	pepper	NOUN
ijassa-1393	291	11	bell	bell	PROPN
ijassa-1393	291	12	pepper	pepper	NOUN
ijassa-1393	291	13	auritum	auritum	NOUN
ijassa-1393	291	14	piper	piper	NOUN
ijassa-1393	291	15	beetle	beetle	NOUN
ijassa-1393	291	16	figure	figure	NOUN
ijassa-1393	291	17	7	7	NUM
ijassa-1393	291	18	.	.	PUNCT
ijassa-1393	292	1	piper	piper	NOUN
ijassa-1393	292	2	plant	plant	NOUN
ijassa-1393	292	3	dataset	dataset	VERB
ijassa-1393	292	4	samples	sample	NOUN
ijassa-1393	292	5	4.2	4.2	NUM
ijassa-1393	292	6	.	.	PUNCT
ijassa-1393	293	1	performance	performance	NOUN
ijassa-1393	293	2	metrics	metric	NOUN
ijassa-1393	293	3	the	the	DET
ijassa-1393	293	4	metrics	metric	NOUN
ijassa-1393	293	5	regarded	regard	VERB
ijassa-1393	293	6	in	in	ADP
ijassa-1393	293	7	this	this	DET
ijassa-1393	293	8	study	study	NOUN
ijassa-1393	293	9	for	for	ADP
ijassa-1393	293	10	validating	validate	VERB
ijassa-1393	293	11	the	the	DET
ijassa-1393	293	12	performance	performance	NOUN
ijassa-1393	293	13	of	of	ADP
ijassa-1393	293	14	the	the	DET
ijassa-1393	293	15	proposed	propose	VERB
ijassa-1393	293	16	system	system	NOUN
ijassa-1393	293	17	are	be	AUX
ijassa-1393	293	18	,	,	PUNCT
ijassa-1393	293	19	i	i	NOUN
ijassa-1393	293	20	)	)	PUNCT
ijassa-1393	293	21	accuracy	accuracy	NOUN
ijassa-1393	293	22	it	it	PRON
ijassa-1393	293	23	is	be	AUX
ijassa-1393	293	24	described	describe	VERB
ijassa-1393	293	25	as	as	ADP
ijassa-1393	293	26	the	the	DET
ijassa-1393	293	27	calculation	calculation	NOUN
ijassa-1393	293	28	of	of	ADP
ijassa-1393	293	29	overall	overall	ADJ
ijassa-1393	293	30	correct	correct	ADJ
ijassa-1393	293	31	classification	classification	NOUN
ijassa-1393	293	32	.	.	PUNCT
ijassa-1393	294	1	it	it	PRON
ijassa-1393	294	2	is	be	AUX
ijassa-1393	294	3	indicated	indicate	VERB
ijassa-1393	294	4	by	by	ADP
ijassa-1393	294	5	equation.9	equation.9	NOUN
ijassa-1393	294	6	,	,	PUNCT
ijassa-1393	294	7	(	(	PUNCT
ijassa-1393	294	8	9	9	NUM
ijassa-1393	294	9	)	)	SYM
ijassa-1393	294	10	ii	ii	NOUN
ijassa-1393	294	11	)	)	PUNCT
ijassa-1393	294	12	precision	precision	NOUN
ijassa-1393	294	13	it	it	PRON
ijassa-1393	294	14	is	be	AUX
ijassa-1393	294	15	claimed	claim	VERB
ijassa-1393	294	16	as	as	ADP
ijassa-1393	294	17	the	the	DET
ijassa-1393	294	18	correct	correct	ADJ
ijassa-1393	294	19	classification	classification	NOUN
ijassa-1393	294	20	calculation	calculation	NOUN
ijassa-1393	294	21	and	and	CCONJ
ijassa-1393	294	22	is	be	AUX
ijassa-1393	294	23	represented	represent	VERB
ijassa-1393	294	24	per	per	ADP
ijassa-1393	294	25	equation.10	equation.10	NOUN
ijassa-1393	294	26	,	,	PUNCT
ijassa-1393	294	27	(	(	PUNCT
ijassa-1393	294	28	10	10	NUM
ijassa-1393	294	29	)	)	PUNCT
ijassa-1393	294	30	as	as	SCONJ
ijassa-1393	294	31	represented	represent	VERB
ijassa-1393	294	32	in	in	ADP
ijassa-1393	294	33	equation.9	equation.9	NOUN
ijassa-1393	294	34	and	and	CCONJ
ijassa-1393	294	35	equation.10	equation.10	NOUN
ijassa-1393	294	36	,	,	PUNCT
ijassa-1393	294	37	indicates	indicate	VERB
ijassa-1393	294	38	true	true	ADJ
ijassa-1393	294	39	positive	positive	ADJ
ijassa-1393	294	40	,	,	PUNCT
ijassa-1393	294	41	is	be	AUX
ijassa-1393	294	42	false	false	ADJ
ijassa-1393	294	43	positive	positive	ADJ
ijassa-1393	294	44	,	,	PUNCT
ijassa-1393	294	45	denotes	denote	VERB
ijassa-1393	294	46	true	true	ADJ
ijassa-1393	294	47	negative	negative	ADJ
ijassa-1393	294	48	,	,	PUNCT
ijassa-1393	294	49	and	and	CCONJ
ijassa-1393	294	50	indicates	indicate	VERB
ijassa-1393	294	51	false	false	ADJ
ijassa-1393	294	52	negative	negative	ADJ
ijassa-1393	294	53	.	.	PUNCT
ijassa-1393	295	1	iii	iii	X
ijassa-1393	295	2	)	)	PUNCT
ijassa-1393	295	3	recall	recall	NOUN
ijassa-1393	295	4	it	it	PRON
ijassa-1393	295	5	indicates	indicate	VERB
ijassa-1393	295	6	the	the	DET
ijassa-1393	295	7	proportion	proportion	NOUN
ijassa-1393	295	8	of	of	ADP
ijassa-1393	295	9	retrieved	retrieve	VERB
ijassa-1393	295	10	and	and	CCONJ
ijassa-1393	295	11	relevant	relevant	ADJ
ijassa-1393	295	12	images	image	NOUN
ijassa-1393	295	13	to	to	ADP
ijassa-1393	295	14	the	the	DET
ijassa-1393	295	15	proportion	proportion	NOUN
ijassa-1393	295	16	of	of	ADP
ijassa-1393	295	17	the	the	DET
ijassa-1393	295	18	relevant	relevant	ADJ
ijassa-1393	295	19	image	image	NOUN
ijassa-1393	295	20	.	.	PUNCT
ijassa-1393	296	1	it	it	PRON
ijassa-1393	296	2	is	be	AUX
ijassa-1393	296	3	given	give	VERB
ijassa-1393	296	4	by	by	ADP
ijassa-1393	296	5	equation.11	equation.11	NOUN
ijassa-1393	296	6	,	,	PUNCT
ijassa-1393	296	7	(	(	PUNCT
ijassa-1393	296	8	11	11	NUM
ijassa-1393	296	9	)	)	PUNCT
ijassa-1393	296	10	as	as	SCONJ
ijassa-1393	296	11	shown	show	VERB
ijassa-1393	296	12	in	in	ADP
ijassa-1393	296	13	the	the	DET
ijassa-1393	296	14	equation.11	equation.11	NOUN
ijassa-1393	296	15	,	,	PUNCT
ijassa-1393	296	16	represents	represent	VERB
ijassa-1393	296	17	the	the	DET
ijassa-1393	296	18	relevant	relevant	ADJ
ijassa-1393	296	19	image	image	NOUN
ijassa-1393	296	20	,	,	PUNCT
ijassa-1393	296	21	while	while	SCONJ
ijassa-1393	296	22	,	,	PUNCT
ijassa-1393	296	23	denotes	denote	VERB
ijassa-1393	296	24	the	the	DET
ijassa-1393	296	25	retrieved	retrieve	VERB
ijassa-1393	296	26	image	image	NOUN
ijassa-1393	296	27	.	.	PUNCT
ijassa-1393	297	1	iv	iv	X
ijassa-1393	297	2	)	)	PUNCT
ijassa-1393	297	3	f	f	X
ijassa-1393	297	4	-	-	PUNCT
ijassa-1393	297	5	measure	measure	NOUN
ijassa-1393	297	6	it	it	PRON
ijassa-1393	297	7	is	be	AUX
ijassa-1393	297	8	also	also	ADV
ijassa-1393	297	9	termed	term	VERB
ijassa-1393	297	10	f1	f1	NOUN
ijassa-1393	297	11	-	-	PUNCT
ijassa-1393	297	12	score	score	NOUN
ijassa-1393	297	13	.	.	PUNCT
ijassa-1393	298	1	it	it	PRON
ijassa-1393	298	2	could	could	AUX
ijassa-1393	298	3	be	be	AUX
ijassa-1393	298	4	claimed	claim	VERB
ijassa-1393	298	5	as	as	ADP
ijassa-1393	298	6	the	the	DET
ijassa-1393	298	7	harmonic	harmonic	ADJ
ijassa-1393	298	8	mean	mean	NOUN
ijassa-1393	298	9	of	of	ADP
ijassa-1393	298	10	recall	recall	NOUN
ijassa-1393	298	11	and	and	CCONJ
ijassa-1393	298	12	precision	precision	NOUN
ijassa-1393	298	13	.	.	PUNCT
ijassa-1393	299	1	it	it	PRON
ijassa-1393	299	2	is	be	AUX
ijassa-1393	299	3	represented	represent	VERB
ijassa-1393	299	4	by	by	ADP
ijassa-1393	299	5	equation.12	equation.12	PROPN
ijassa-1393	299	6	,	,	PUNCT
ijassa-1393	299	7	(	(	PUNCT
ijassa-1393	299	8	12	12	NUM
ijassa-1393	299	9	)	)	PUNCT
ijassa-1393	299	10	4.3	4.3	NUM
ijassa-1393	299	11	.	.	PUNCT
ijassa-1393	300	1	experimental	experimental	ADJ
ijassa-1393	300	2	results	result	NOUN
ijassa-1393	300	3	the	the	DET
ijassa-1393	300	4	outcomes	outcome	NOUN
ijassa-1393	300	5	that	that	PRON
ijassa-1393	300	6	have	have	AUX
ijassa-1393	300	7	been	be	AUX
ijassa-1393	300	8	attained	attain	VERB
ijassa-1393	300	9	through	through	ADP
ijassa-1393	300	10	the	the	DET
ijassa-1393	300	11	execution	execution	NOUN
ijassa-1393	300	12	of	of	ADP
ijassa-1393	300	13	the	the	DET
ijassa-1393	300	14	proposed	propose	VERB
ijassa-1393	300	15	system	system	NOUN
ijassa-1393	300	16	are	be	AUX
ijassa-1393	300	17	discussed	discuss	VERB
ijassa-1393	300	18	in	in	ADP
ijassa-1393	300	19	this	this	DET
ijassa-1393	300	20	section	section	NOUN
ijassa-1393	300	21	.	.	PUNCT
ijassa-1393	301	1	initially	initially	ADV
ijassa-1393	301	2	,	,	PUNCT
ijassa-1393	301	3	the	the	DET
ijassa-1393	301	4	image	image	NOUN
ijassa-1393	301	5	is	be	AUX
ijassa-1393	301	6	selected	select	VERB
ijassa-1393	301	7	for	for	ADP
ijassa-1393	301	8	prediction	prediction	NOUN
ijassa-1393	301	9	,	,	PUNCT
ijassa-1393	301	10	as	as	SCONJ
ijassa-1393	301	11	shown	show	VERB
ijassa-1393	301	12	in	in	ADP
ijassa-1393	301	13	figure	figure	NOUN
ijassa-1393	301	14	8	8	NUM
ijassa-1393	301	15	.	.	PUNCT
ijassa-1393	302	1	144	144	NUM
ijassa-1393	302	2	i.	i.	PROPN
ijassa-1393	302	3	petrov	petrov	PROPN
ijassa-1393	302	4	,	,	PUNCT
ijassa-1393	302	5	j.f	j.f	PROPN
ijassa-1393	302	6	.	.	PROPN
ijassa-1393	302	7	doe	doe	NOUN
ijassa-1393	302	8	copyright	copyright	NOUN
ijassa-1393	302	9	©	©	PROPN
ijassa-1393	302	10	2023	2023	NUM
ijassa-1393	302	11	assa	assa	PROPN
ijassa-1393	302	12	adv	adv	PROPN
ijassa-1393	302	13	.	.	PUNCT
ijassa-1393	303	1	in	in	ADP
ijassa-1393	303	2	systems	system	NOUN
ijassa-1393	303	3	science	science	NOUN
ijassa-1393	303	4	and	and	CCONJ
ijassa-1393	303	5	appl	appl	NOUN
ijassa-1393	303	6	.	.	PUNCT
ijassa-1393	304	1	(	(	PUNCT
ijassa-1393	304	2	2023	2023	NUM
ijassa-1393	304	3	)	)	PUNCT
ijassa-1393	304	4	figure	figure	NOUN
ijassa-1393	304	5	8	8	NUM
ijassa-1393	304	6	.	.	PUNCT
ijassa-1393	305	1	selection	selection	NOUN
ijassa-1393	305	2	of	of	ADP
ijassa-1393	305	3	image	image	NOUN
ijassa-1393	305	4	based	base	VERB
ijassa-1393	305	5	on	on	ADP
ijassa-1393	305	6	the	the	DET
ijassa-1393	305	7	selected	select	VERB
ijassa-1393	305	8	image	image	NOUN
ijassa-1393	305	9	,	,	PUNCT
ijassa-1393	305	10	the	the	DET
ijassa-1393	305	11	plant	plant	NOUN
ijassa-1393	305	12	species	specie	NOUN
ijassa-1393	305	13	are	be	AUX
ijassa-1393	305	14	classified	classify	VERB
ijassa-1393	305	15	as	as	ADP
ijassa-1393	305	16	all	all	DET
ijassa-1393	305	17	plants	plant	NOUN
ijassa-1393	305	18	with	with	ADP
ijassa-1393	305	19	suitable	suitable	ADJ
ijassa-1393	305	20	species	specie	NOUN
ijassa-1393	305	21	,	,	PUNCT
ijassa-1393	305	22	as	as	SCONJ
ijassa-1393	305	23	shown	show	VERB
ijassa-1393	305	24	in	in	ADP
ijassa-1393	305	25	figure	figure	NOUN
ijassa-1393	305	26	9	9	NUM
ijassa-1393	305	27	.	.	PUNCT
ijassa-1393	306	1	figure	figure	NOUN
ijassa-1393	306	2	9	9	NUM
ijassa-1393	306	3	.	.	PUNCT
ijassa-1393	306	4	plant	plant	NOUN
ijassa-1393	306	5	type	type	NOUN
ijassa-1393	306	6	classification	classification	NOUN
ijassa-1393	306	7	as	as	SCONJ
ijassa-1393	306	8	shown	show	VERB
ijassa-1393	306	9	in	in	ADP
ijassa-1393	306	10	figure	figure	NOUN
ijassa-1393	306	11	9	9	NUM
ijassa-1393	306	12	,	,	PUNCT
ijassa-1393	306	13	the	the	DET
ijassa-1393	306	14	paddy	paddy	NOUN
ijassa-1393	306	15	leaf	leaf	NOUN
ijassa-1393	306	16	is	be	AUX
ijassa-1393	306	17	predicted	predict	VERB
ijassa-1393	306	18	at	at	ADP
ijassa-1393	306	19	a	a	DET
ijassa-1393	306	20	rate	rate	NOUN
ijassa-1393	306	21	of	of	ADP
ijassa-1393	306	22	85	85	NUM
ijassa-1393	306	23	%	%	NOUN
ijassa-1393	306	24	,	,	PUNCT
ijassa-1393	306	25	while	while	SCONJ
ijassa-1393	306	26	the	the	DET
ijassa-1393	306	27	soya	soya	NOUN
ijassa-1393	306	28	plant	plant	NOUN
ijassa-1393	306	29	is	be	AUX
ijassa-1393	306	30	identified	identify	VERB
ijassa-1393	306	31	at	at	ADP
ijassa-1393	306	32	35.4	35.4	NUM
ijassa-1393	306	33	%	%	NOUN
ijassa-1393	306	34	.	.	PUNCT
ijassa-1393	307	1	similarly	similarly	ADV
ijassa-1393	307	2	,	,	PUNCT
ijassa-1393	307	3	the	the	DET
ijassa-1393	307	4	piper	piper	NOUN
ijassa-1393	307	5	plants	plant	NOUN
ijassa-1393	307	6	are	be	AUX
ijassa-1393	307	7	also	also	ADV
ijassa-1393	307	8	classified	classify	VERB
ijassa-1393	307	9	by	by	ADP
ijassa-1393	307	10	the	the	DET
ijassa-1393	307	11	image	image	NOUN
ijassa-1393	307	12	taken	take	VERB
ijassa-1393	307	13	as	as	ADP
ijassa-1393	307	14	input	input	NOUN
ijassa-1393	307	15	,	,	PUNCT
ijassa-1393	307	16	and	and	CCONJ
ijassa-1393	307	17	the	the	DET
ijassa-1393	307	18	results	result	NOUN
ijassa-1393	307	19	are	be	AUX
ijassa-1393	307	20	depicted	depict	VERB
ijassa-1393	307	21	in	in	ADP
ijassa-1393	307	22	figure	figure	NOUN
ijassa-1393	307	23	10	10	NUM
ijassa-1393	307	24	.	.	PUNCT
ijassa-1393	308	1	figure	figure	NOUN
ijassa-1393	308	2	10	10	NUM
ijassa-1393	308	3	.	.	PUNCT
ijassa-1393	309	1	piper	piper	NOUN
ijassa-1393	309	2	plant	plant	NOUN
ijassa-1393	309	3	type	type	NOUN
ijassa-1393	309	4	classification	classification	NOUN
ijassa-1393	309	5	as	as	SCONJ
ijassa-1393	309	6	shown	show	VERB
ijassa-1393	309	7	in	in	ADP
ijassa-1393	309	8	figure	figure	NOUN
ijassa-1393	309	9	10	10	NUM
ijassa-1393	309	10	,	,	PUNCT
ijassa-1393	309	11	the	the	DET
ijassa-1393	309	12	piper	piper	NOUN
ijassa-1393	309	13	longum	longum	NOUN
ijassa-1393	309	14	is	be	AUX
ijassa-1393	309	15	predicted	predict	VERB
ijassa-1393	309	16	at	at	ADP
ijassa-1393	309	17	a	a	DET
ijassa-1393	309	18	rate	rate	NOUN
ijassa-1393	309	19	of	of	ADP
ijassa-1393	309	20	41.79	41.79	NUM
ijassa-1393	309	21	%	%	NOUN
ijassa-1393	309	22	,	,	PUNCT
ijassa-1393	309	23	while	while	SCONJ
ijassa-1393	309	24	piper	piper	NOUN
ijassa-1393	309	25	argyrites	argyrite	NOUN
ijassa-1393	309	26	is	be	AUX
ijassa-1393	309	27	identified	identify	VERB
ijassa-1393	309	28	at	at	ADP
ijassa-1393	309	29	58.8	58.8	NUM
ijassa-1393	309	30	%	%	NOUN
ijassa-1393	309	31	.	.	PUNCT
ijassa-1393	310	1	4.4	4.4	NUM
ijassa-1393	310	2	.	.	PUNCT
ijassa-1393	311	1	performance	performance	NOUN
ijassa-1393	311	2	analysis	analysis	NOUN
ijassa-1393	311	3	the	the	DET
ijassa-1393	311	4	performance	performance	NOUN
ijassa-1393	311	5	of	of	ADP
ijassa-1393	311	6	the	the	DET
ijassa-1393	311	7	proposed	propose	VERB
ijassa-1393	311	8	system	system	NOUN
ijassa-1393	311	9	is	be	AUX
ijassa-1393	311	10	evaluated	evaluate	VERB
ijassa-1393	311	11	,	,	PUNCT
ijassa-1393	311	12	and	and	CCONJ
ijassa-1393	311	13	the	the	DET
ijassa-1393	311	14	corresponding	correspond	VERB
ijassa-1393	311	15	outcomes	outcome	NOUN
ijassa-1393	311	16	are	be	AUX
ijassa-1393	311	17	discussed	discuss	VERB
ijassa-1393	311	18	in	in	ADP
ijassa-1393	311	19	this	this	DET
ijassa-1393	311	20	section	section	NOUN
ijassa-1393	311	21	.	.	PUNCT
ijassa-1393	312	1	the	the	DET
ijassa-1393	312	2	accuracy	accuracy	NOUN
ijassa-1393	312	3	score	score	NOUN
ijassa-1393	312	4	for	for	ADP
ijassa-1393	312	5	piper	piper	NOUN
ijassa-1393	312	6	plant	plant	NOUN
ijassa-1393	312	7	classification	classification	NOUN
ijassa-1393	312	8	is	be	AUX
ijassa-1393	312	9	presented	present	VERB
ijassa-1393	312	10	in	in	ADP
ijassa-1393	312	11	table	table	NOUN
ijassa-1393	312	12	3	3	NUM
ijassa-1393	312	13	.	.	PUNCT
ijassa-1393	312	14	table	table	NOUN
ijassa-1393	312	15	3	3	NUM
ijassa-1393	312	16	.	.	PUNCT
ijassa-1393	312	17	accuracy	accuracy	NOUN
ijassa-1393	312	18	for	for	ADP
ijassa-1393	312	19	the	the	DET
ijassa-1393	312	20	piper	piper	NOUN
ijassa-1393	312	21	plant	plant	NOUN
ijassa-1393	312	22	classification	classification	NOUN
ijassa-1393	312	23	accuracy	accuracy	NOUN
ijassa-1393	312	24	score	score	NOUN
ijassa-1393	312	25	piper	piper	NOUN
ijassa-1393	312	26	plant	plant	NOUN
ijassa-1393	312	27	98.82591093	98.82591093	NUM
ijassa-1393	312	28	from	from	ADP
ijassa-1393	312	29	table	table	NOUN
ijassa-1393	312	30	3	3	NUM
ijassa-1393	312	31	,	,	PUNCT
ijassa-1393	312	32	it	it	PRON
ijassa-1393	312	33	is	be	AUX
ijassa-1393	312	34	found	find	VERB
ijassa-1393	312	35	that	that	SCONJ
ijassa-1393	312	36	the	the	DET
ijassa-1393	312	37	accuracy	accuracy	NOUN
ijassa-1393	312	38	score	score	NOUN
ijassa-1393	312	39	for	for	ADP
ijassa-1393	312	40	classifying	classify	VERB
ijassa-1393	312	41	piper	piper	NOUN
ijassa-1393	312	42	plants	plant	NOUN
ijassa-1393	312	43	is	be	AUX
ijassa-1393	312	44	98.825	98.825	NUM
ijassa-1393	312	45	%	%	NOUN
ijassa-1393	312	46	.	.	PUNCT
ijassa-1393	313	1	further	far	ADV
ijassa-1393	313	2	,	,	PUNCT
ijassa-1393	313	3	the	the	DET
ijassa-1393	313	4	classification	classification	NOUN
ijassa-1393	313	5	performance	performance	NOUN
ijassa-1393	313	6	for	for	ADP
ijassa-1393	313	7	the	the	DET
ijassa-1393	313	8	piper	piper	NOUN
ijassa-1393	313	9	plant	plant	NOUN
ijassa-1393	313	10	's	's	PART
ijassa-1393	313	11	performance	performance	NOUN
ijassa-1393	313	12	metrics	metric	NOUN
ijassa-1393	313	13	is	be	AUX
ijassa-1393	313	14	tabulated	tabulate	VERB
ijassa-1393	313	15	in	in	ADP
ijassa-1393	313	16	table	table	NOUN
ijassa-1393	313	17	4	4	NUM
ijassa-1393	313	18	.	.	PUNCT
ijassa-1393	314	1	deep	deep	ADJ
ijassa-1393	314	2	feature	feature	NOUN
ijassa-1393	314	3	extraction	extraction	NOUN
ijassa-1393	314	4	and	and	CCONJ
ijassa-1393	314	5	weight	weight	NOUN
ijassa-1393	314	6	updated	update	VERB
ijassa-1393	314	7	tuned	tune	VERB
ijassa-1393	314	8	random	random	ADJ
ijassa-1393	314	9	forest	forest	NOUN
ijassa-1393	314	10	…	…	PUNCT
ijassa-1393	314	11	145	145	NUM
ijassa-1393	314	12	copyright	copyright	NOUN
ijassa-1393	314	13	©	©	PROPN
ijassa-1393	314	14	2023	2023	NUM
ijassa-1393	314	15	assa	assa	NOUN
ijassa-1393	314	16	.	.	PUNCT
ijassa-1393	315	1	adv	adv	PROPN
ijassa-1393	315	2	.	.	PUNCT
ijassa-1393	316	1	in	in	ADP
ijassa-1393	316	2	systems	system	NOUN
ijassa-1393	316	3	science	science	NOUN
ijassa-1393	316	4	and	and	CCONJ
ijassa-1393	316	5	appl	appl	NOUN
ijassa-1393	316	6	.	.	PUNCT
ijassa-1393	317	1	(	(	PUNCT
ijassa-1393	317	2	2023	2023	NUM
ijassa-1393	317	3	)	)	PUNCT
ijassa-1393	317	4	table	table	NOUN
ijassa-1393	317	5	4	4	NUM
ijassa-1393	317	6	.	.	PUNCT
ijassa-1393	318	1	classification	classification	NOUN
ijassa-1393	318	2	performance	performance	NOUN
ijassa-1393	318	3	for	for	ADP
ijassa-1393	318	4	piper	piper	NOUN
ijassa-1393	318	5	plants	plant	NOUN
ijassa-1393	318	6	cla	cla	PROPN
ijassa-1393	318	7	sses	sse	NOUN
ijassa-1393	318	8	preci	preci	VERB
ijassa-1393	318	9	sion	sion	PROPN
ijassa-1393	318	10	re	re	AUX
ijassa-1393	318	11	call	call	VERB
ijassa-1393	318	12	f1score	f1score	NOUN
ijassa-1393	318	13	sup	sup	NOUN
ijassa-1393	318	14	port	port	NOUN
ijassa-1393	318	15	0	0	NUM
ijassa-1393	318	16	0.99	0.99	NUM
ijassa-1393	318	17	1	1	NUM
ijassa-1393	318	18	0.99	0.99	NUM
ijassa-1393	318	19	276	276	NUM
ijassa-1393	318	20	1	1	NUM
ijassa-1393	318	21	1	1	NUM
ijassa-1393	318	22	0.9	0.9	NUM
ijassa-1393	318	23	4	4	NUM
ijassa-1393	318	24	0.97	0.97	NUM
ijassa-1393	318	25	573	573	NUM
ijassa-1393	318	26	2	2	NUM
ijassa-1393	318	27	0.99	0.99	NUM
ijassa-1393	318	28	0.9	0.9	NUM
ijassa-1393	318	29	9	9	NUM
ijassa-1393	318	30	0.99	0.99	NUM
ijassa-1393	318	31	321	321	NUM
ijassa-1393	318	32	3	3	NUM
ijassa-1393	318	33	1	1	NUM
ijassa-1393	318	34	1	1	NUM
ijassa-1393	318	35	1	1	NUM
ijassa-1393	318	36	540	540	NUM
ijassa-1393	318	37	4	4	NUM
ijassa-1393	318	38	1	1	NUM
ijassa-1393	318	39	1	1	NUM
ijassa-1393	318	40	1	1	NUM
ijassa-1393	318	41	321	321	NUM
ijassa-1393	318	42	5	5	NUM
ijassa-1393	318	43	1	1	NUM
ijassa-1393	318	44	1	1	NUM
ijassa-1393	318	45	1	1	NUM
ijassa-1393	318	46	306	306	NUM
ijassa-1393	318	47	6	6	NUM
ijassa-1393	318	48	1	1	NUM
ijassa-1393	318	49	1	1	NUM
ijassa-1393	318	50	1	1	NUM
ijassa-1393	318	51	285	285	NUM
ijassa-1393	318	52	7	7	NUM
ijassa-1393	318	53	0.95	0.95	NUM
ijassa-1393	318	54	0.9	0.9	NUM
ijassa-1393	318	55	7	7	NUM
ijassa-1393	318	56	0.96	0.96	NUM
ijassa-1393	318	57	299	299	NUM
ijassa-1393	318	58	8	8	NUM
ijassa-1393	318	59	0.97	0.97	NUM
ijassa-1393	318	60	0.9	0.9	NUM
ijassa-1393	318	61	9	9	NUM
ijassa-1393	318	62	0.98	0.98	NUM
ijassa-1393	318	63	296	296	NUM
ijassa-1393	318	64	9	9	NUM
ijassa-1393	318	65	0.99	0.99	NUM
ijassa-1393	318	66	0.9	0.9	NUM
ijassa-1393	318	67	9	9	NUM
ijassa-1393	318	68	0.99	0.99	NUM
ijassa-1393	318	69	301	301	NUM
ijassa-1393	318	70	10	10	NUM
ijassa-1393	318	71	0.99	0.99	NUM
ijassa-1393	318	72	0.9	0.9	NUM
ijassa-1393	318	73	8	8	NUM
ijassa-1393	318	74	0.99	0.99	NUM
ijassa-1393	318	75	306	306	NUM
ijassa-1393	318	76	11	11	NUM
ijassa-1393	318	77	1	1	NUM
ijassa-1393	318	78	1	1	NUM
ijassa-1393	318	79	1	1	NUM
ijassa-1393	318	80	252	252	NUM
ijassa-1393	318	81	12	12	NUM
ijassa-1393	318	82	1	1	NUM
ijassa-1393	318	83	1	1	NUM
ijassa-1393	318	84	1	1	NUM
ijassa-1393	318	85	294	294	NUM
ijassa-1393	318	86	13	13	NUM
ijassa-1393	318	87	0.98	0.98	NUM
ijassa-1393	318	88	0.9	0.9	NUM
ijassa-1393	318	89	8	8	NUM
ijassa-1393	318	90	0.98	0.98	NUM
ijassa-1393	318	91	303	303	NUM
ijassa-1393	318	92	14	14	NUM
ijassa-1393	318	93	0.93	0.93	NUM
ijassa-1393	318	94	1	1	NUM
ijassa-1393	318	95	0.96	0.96	NUM
ijassa-1393	318	96	267	267	NUM
ijassa-1393	318	97	from	from	ADP
ijassa-1393	318	98	table	table	NOUN
ijassa-1393	318	99	4	4	NUM
ijassa-1393	318	100	,	,	PUNCT
ijassa-1393	318	101	it	it	PRON
ijassa-1393	318	102	is	be	AUX
ijassa-1393	318	103	exposed	expose	VERB
ijassa-1393	318	104	that	that	SCONJ
ijassa-1393	318	105	the	the	DET
ijassa-1393	318	106	proposed	propose	VERB
ijassa-1393	318	107	system	system	NOUN
ijassa-1393	318	108	's	's	PART
ijassa-1393	318	109	precision	precision	NOUN
ijassa-1393	318	110	,	,	PUNCT
ijassa-1393	318	111	recall	recall	NOUN
ijassa-1393	318	112	,	,	PUNCT
ijassa-1393	318	113	f1	f1	NOUN
ijassa-1393	318	114	-	-	PUNCT
ijassa-1393	318	115	score	score	NOUN
ijassa-1393	318	116	,	,	PUNCT
ijassa-1393	318	117	and	and	CCONJ
ijassa-1393	318	118	support	support	NOUN
ijassa-1393	318	119	rate	rate	NOUN
ijassa-1393	318	120	have	have	AUX
ijassa-1393	318	121	shown	show	VERB
ijassa-1393	318	122	better	well	ADJ
ijassa-1393	318	123	performance	performance	NOUN
ijassa-1393	318	124	in	in	ADP
ijassa-1393	318	125	the	the	DET
ijassa-1393	318	126	range	range	NOUN
ijassa-1393	318	127	of	of	ADP
ijassa-1393	318	128	0.93	0.93	NUM
ijassa-1393	318	129	-	-	PUNCT
ijassa-1393	318	130	0.99	0.99	NUM
ijassa-1393	318	131	.	.	PUNCT
ijassa-1393	319	1	further	far	ADV
ijassa-1393	319	2	,	,	PUNCT
ijassa-1393	319	3	the	the	DET
ijassa-1393	319	4	overall	overall	ADJ
ijassa-1393	319	5	average	average	ADJ
ijassa-1393	319	6	accuracy	accuracy	NOUN
ijassa-1393	319	7	for	for	ADP
ijassa-1393	319	8	piper	piper	NOUN
ijassa-1393	319	9	plant	plant	NOUN
ijassa-1393	319	10	classification	classification	NOUN
ijassa-1393	319	11	is	be	AUX
ijassa-1393	319	12	exposed	expose	VERB
ijassa-1393	319	13	in	in	ADP
ijassa-1393	319	14	figure	figure	NOUN
ijassa-1393	319	15	11	11	NUM
ijassa-1393	319	16	.	.	PUNCT
ijassa-1393	320	1	figure	figure	VERB
ijassa-1393	320	2	11	11	NUM
ijassa-1393	320	3	.	.	PUNCT
ijassa-1393	321	1	average	average	ADJ
ijassa-1393	321	2	accuracy	accuracy	NOUN
ijassa-1393	321	3	rate	rate	NOUN
ijassa-1393	321	4	for	for	ADP
ijassa-1393	321	5	classifying	classify	VERB
ijassa-1393	321	6	piper	piper	NOUN
ijassa-1393	321	7	plants	plant	NOUN
ijassa-1393	321	8	figure	figure	VERB
ijassa-1393	321	9	11	11	NUM
ijassa-1393	321	10	shows	show	VERB
ijassa-1393	321	11	that	that	SCONJ
ijassa-1393	321	12	the	the	DET
ijassa-1393	321	13	accuracy	accuracy	NOUN
ijassa-1393	321	14	rate	rate	NOUN
ijassa-1393	321	15	is	be	AUX
ijassa-1393	321	16	exposed	expose	VERB
ijassa-1393	321	17	to	to	PART
ijassa-1393	321	18	be	be	AUX
ijassa-1393	321	19	0.99	0.99	NUM
ijassa-1393	321	20	,	,	PUNCT
ijassa-1393	321	21	while	while	SCONJ
ijassa-1393	321	22	the	the	DET
ijassa-1393	321	23	precision	precision	NOUN
ijassa-1393	321	24	,	,	PUNCT
ijassa-1393	321	25	recall	recall	NOUN
ijassa-1393	321	26	,	,	PUNCT
ijassa-1393	321	27	and	and	CCONJ
ijassa-1393	321	28	f1	f1	ADJ
ijassa-1393	321	29	-	-	PUNCT
ijassa-1393	321	30	score	score	NOUN
ijassa-1393	321	31	rate	rate	NOUN
ijassa-1393	321	32	is	be	AUX
ijassa-1393	321	33	explored	explore	VERB
ijassa-1393	321	34	to	to	PART
ijassa-1393	321	35	be	be	AUX
ijassa-1393	321	36	0.99.the	0.99.the	DET
ijassa-1393	321	37	accuracy	accuracy	NOUN
ijassa-1393	321	38	score	score	NOUN
ijassa-1393	321	39	for	for	ADP
ijassa-1393	321	40	all	all	DET
ijassa-1393	321	41	plant	plant	NOUN
ijassa-1393	321	42	species	species	NOUN
ijassa-1393	321	43	classifications	classification	NOUN
ijassa-1393	321	44	is	be	AUX
ijassa-1393	321	45	given	give	VERB
ijassa-1393	321	46	in	in	ADP
ijassa-1393	321	47	table	table	NOUN
ijassa-1393	321	48	5	5	NUM
ijassa-1393	321	49	.	.	PUNCT
ijassa-1393	321	50	table	table	NOUN
ijassa-1393	321	51	5	5	NUM
ijassa-1393	321	52	.	.	PUNCT
ijassa-1393	321	53	accuracy	accuracy	NOUN
ijassa-1393	321	54	for	for	ADP
ijassa-1393	321	55	all	all	DET
ijassa-1393	321	56	plant	plant	NOUN
ijassa-1393	321	57	classification	classification	NOUN
ijassa-1393	321	58	accuracy	accuracy	NOUN
ijassa-1393	321	59	score	score	NOUN
ijassa-1393	321	60	all	all	DET
ijassa-1393	321	61	plant	plant	NOUN
ijassa-1393	321	62	97.14975117	97.14975117	NUM
ijassa-1393	321	63	from	from	ADP
ijassa-1393	321	64	table	table	NOUN
ijassa-1393	321	65	5	5	NUM
ijassa-1393	321	66	,	,	PUNCT
ijassa-1393	321	67	it	it	PRON
ijassa-1393	321	68	is	be	AUX
ijassa-1393	321	69	found	find	VERB
ijassa-1393	321	70	that	that	SCONJ
ijassa-1393	321	71	the	the	DET
ijassa-1393	321	72	accuracy	accuracy	NOUN
ijassa-1393	321	73	score	score	NOUN
ijassa-1393	321	74	for	for	ADP
ijassa-1393	321	75	classifying	classify	VERB
ijassa-1393	321	76	all	all	DET
ijassa-1393	321	77	plants	plant	NOUN
ijassa-1393	321	78	is	be	AUX
ijassa-1393	321	79	97.149	97.149	NUM
ijassa-1393	321	80	%	%	NOUN
ijassa-1393	321	81	.	.	PUNCT
ijassa-1393	322	1	further	far	ADV
ijassa-1393	322	2	,	,	PUNCT
ijassa-1393	322	3	classification	classification	NOUN
ijassa-1393	322	4	performance	performance	NOUN
ijassa-1393	322	5	for	for	ADP
ijassa-1393	322	6	all	all	DET
ijassa-1393	322	7	plants	plant	NOUN
ijassa-1393	322	8	about	about	ADP
ijassa-1393	322	9	performance	performance	NOUN
ijassa-1393	322	10	metrics	metric	NOUN
ijassa-1393	322	11	is	be	AUX
ijassa-1393	322	12	tabulated	tabulate	VERB
ijassa-1393	322	13	in	in	ADP
ijassa-1393	322	14	table-6	table-6	PROPN
ijassa-1393	322	15	.	.	PROPN
ijassa-1393	322	16	146	146	NUM
ijassa-1393	322	17	i.	i.	PROPN
ijassa-1393	322	18	petrov	petrov	PROPN
ijassa-1393	322	19	,	,	PUNCT
ijassa-1393	322	20	j.f	j.f	PROPN
ijassa-1393	322	21	.	.	PROPN
ijassa-1393	322	22	doe	doe	NOUN
ijassa-1393	322	23	copyright	copyright	NOUN
ijassa-1393	322	24	©	©	PROPN
ijassa-1393	322	25	2023	2023	NUM
ijassa-1393	322	26	assa	assa	PROPN
ijassa-1393	322	27	adv	adv	PROPN
ijassa-1393	322	28	.	.	PUNCT
ijassa-1393	323	1	in	in	ADP
ijassa-1393	323	2	systems	system	NOUN
ijassa-1393	323	3	science	science	NOUN
ijassa-1393	323	4	and	and	CCONJ
ijassa-1393	323	5	appl	appl	NOUN
ijassa-1393	323	6	.	.	PUNCT
ijassa-1393	324	1	(	(	PUNCT
ijassa-1393	324	2	2023	2023	NUM
ijassa-1393	324	3	)	)	PUNCT
ijassa-1393	324	4	table	table	NOUN
ijassa-1393	324	5	6	6	NUM
ijassa-1393	324	6	.	.	PUNCT
ijassa-1393	325	1	classification	classification	NOUN
ijassa-1393	325	2	performance	performance	NOUN
ijassa-1393	325	3	for	for	ADP
ijassa-1393	325	4	all	all	DET
ijassa-1393	325	5	plants	plant	NOUN
ijassa-1393	325	6	classes	class	NOUN
ijassa-1393	325	7	precision	precision	NOUN
ijassa-1393	325	8	recall	recall	NOUN
ijassa-1393	325	9	f1	f1	NOUN
ijassa-1393	325	10	-	-	PUNCT
ijassa-1393	325	11	score	score	NOUN
ijassa-1393	325	12	support	support	NOUN
ijassa-1393	325	13	0	0	NUM
ijassa-1393	325	14	1	1	NUM
ijassa-1393	325	15	1	1	NUM
ijassa-1393	325	16	1	1	NUM
ijassa-1393	325	17	780	780	NUM
ijassa-1393	325	18	1	1	NUM
ijassa-1393	325	19	1	1	NUM
ijassa-1393	325	20	1	1	NUM
ijassa-1393	325	21	1	1	NUM
ijassa-1393	325	22	480	480	NUM
ijassa-1393	325	23	2	2	NUM
ijassa-1393	325	24	0.99	0.99	NUM
ijassa-1393	325	25	1	1	NUM
ijassa-1393	325	26	1	1	NUM
ijassa-1393	325	27	453	453	NUM
ijassa-1393	325	28	3	3	NUM
ijassa-1393	325	29	1	1	NUM
ijassa-1393	325	30	1	1	NUM
ijassa-1393	325	31	1	1	NUM
ijassa-1393	325	32	390	390	NUM
ijassa-1393	325	33	4	4	NUM
ijassa-1393	325	34	1	1	NUM
ijassa-1393	325	35	1	1	NUM
ijassa-1393	325	36	1	1	NUM
ijassa-1393	325	37	450	450	NUM
ijassa-1393	325	38	5	5	NUM
ijassa-1393	325	39	1	1	NUM
ijassa-1393	325	40	0.99	0.99	NUM
ijassa-1393	325	41	1	1	NUM
ijassa-1393	325	42	540	540	NUM
ijassa-1393	325	43	6	6	NUM
ijassa-1393	325	44	1	1	NUM
ijassa-1393	325	45	1	1	NUM
ijassa-1393	325	46	1	1	NUM
ijassa-1393	325	47	780	780	NUM
ijassa-1393	325	48	7	7	NUM
ijassa-1393	325	49	1	1	NUM
ijassa-1393	325	50	0.99	0.99	NUM
ijassa-1393	325	51	1	1	NUM
ijassa-1393	325	52	456	456	NUM
ijassa-1393	325	53	8	8	NUM
ijassa-1393	325	54	1	1	NUM
ijassa-1393	325	55	1	1	NUM
ijassa-1393	325	56	1	1	NUM
ijassa-1393	325	57	627	627	NUM
ijassa-1393	325	58	9	9	NUM
ijassa-1393	325	59	1	1	NUM
ijassa-1393	325	60	1	1	NUM
ijassa-1393	325	61	1	1	NUM
ijassa-1393	325	62	480	480	NUM
ijassa-1393	325	63	10	10	NUM
ijassa-1393	325	64	0.77	0.77	NUM
ijassa-1393	325	65	0.98	0.98	NUM
ijassa-1393	325	66	0.86	0.86	NUM
ijassa-1393	325	67	600	600	NUM
ijassa-1393	325	68	11	11	NUM
ijassa-1393	325	69	0.97	0.97	NUM
ijassa-1393	325	70	0.7	0.7	NUM
ijassa-1393	325	71	0.81	0.81	NUM
ijassa-1393	325	72	595	595	NUM
ijassa-1393	325	73	table	table	NOUN
ijassa-1393	325	74	6	6	NUM
ijassa-1393	325	75	shows	show	VERB
ijassa-1393	325	76	that	that	SCONJ
ijassa-1393	325	77	the	the	DET
ijassa-1393	325	78	precision	precision	NOUN
ijassa-1393	325	79	,	,	PUNCT
ijassa-1393	325	80	recall	recall	NOUN
ijassa-1393	325	81	,	,	PUNCT
ijassa-1393	325	82	f1	f1	NOUN
ijassa-1393	325	83	-	-	PUNCT
ijassa-1393	325	84	score	score	NOUN
ijassa-1393	325	85	,	,	PUNCT
ijassa-1393	325	86	and	and	CCONJ
ijassa-1393	325	87	support	support	NOUN
ijassa-1393	325	88	rate	rate	NOUN
ijassa-1393	325	89	of	of	ADP
ijassa-1393	325	90	the	the	DET
ijassa-1393	325	91	proposed	propose	VERB
ijassa-1393	325	92	system	system	NOUN
ijassa-1393	325	93	have	have	AUX
ijassa-1393	325	94	shown	show	VERB
ijassa-1393	325	95	better	well	ADJ
ijassa-1393	325	96	performance	performance	NOUN
ijassa-1393	325	97	in	in	ADP
ijassa-1393	325	98	the	the	DET
ijassa-1393	325	99	range	range	NOUN
ijassa-1393	325	100	of	of	ADP
ijassa-1393	325	101	0.7	0.7	NUM
ijassa-1393	325	102	-	-	PUNCT
ijassa-1393	325	103	0.99	0.99	NUM
ijassa-1393	325	104	.	.	PUNCT
ijassa-1393	326	1	further	far	ADV
ijassa-1393	326	2	,	,	PUNCT
ijassa-1393	326	3	the	the	DET
ijassa-1393	326	4	overall	overall	ADJ
ijassa-1393	326	5	average	average	ADJ
ijassa-1393	326	6	accuracy	accuracy	NOUN
ijassa-1393	326	7	for	for	ADP
ijassa-1393	326	8	all	all	DET
ijassa-1393	326	9	plant	plant	NOUN
ijassa-1393	326	10	classifications	classification	NOUN
ijassa-1393	326	11	is	be	AUX
ijassa-1393	326	12	exposed	expose	VERB
ijassa-1393	326	13	in	in	ADP
ijassa-1393	326	14	figure	figure	NOUN
ijassa-1393	326	15	12	12	NUM
ijassa-1393	326	16	.	.	PUNCT
ijassa-1393	327	1	figure	figure	NOUN
ijassa-1393	327	2	12	12	NUM
ijassa-1393	327	3	.	.	PUNCT
ijassa-1393	328	1	average	average	ADJ
ijassa-1393	328	2	accuracy	accuracy	NOUN
ijassa-1393	328	3	rate	rate	NOUN
ijassa-1393	328	4	for	for	ADP
ijassa-1393	328	5	classifying	classify	VERB
ijassa-1393	328	6	all	all	DET
ijassa-1393	328	7	plants	plant	NOUN
ijassa-1393	328	8	figure	figure	VERB
ijassa-1393	328	9	12	12	NUM
ijassa-1393	328	10	shows	show	VERB
ijassa-1393	328	11	that	that	SCONJ
ijassa-1393	328	12	the	the	DET
ijassa-1393	328	13	accuracy	accuracy	NOUN
ijassa-1393	328	14	rate	rate	NOUN
ijassa-1393	328	15	is	be	AUX
ijassa-1393	328	16	exposed	expose	VERB
ijassa-1393	328	17	to	to	PART
ijassa-1393	328	18	be	be	AUX
ijassa-1393	328	19	0.97	0.97	NUM
ijassa-1393	328	20	,	,	PUNCT
ijassa-1393	328	21	while	while	SCONJ
ijassa-1393	328	22	the	the	DET
ijassa-1393	328	23	precision	precision	NOUN
ijassa-1393	328	24	,	,	PUNCT
ijassa-1393	328	25	recall	recall	NOUN
ijassa-1393	328	26	,	,	PUNCT
ijassa-1393	328	27	and	and	CCONJ
ijassa-1393	328	28	f1	f1	ADJ
ijassa-1393	328	29	-	-	PUNCT
ijassa-1393	328	30	score	score	NOUN
ijassa-1393	328	31	rate	rate	NOUN
ijassa-1393	328	32	is	be	AUX
ijassa-1393	328	33	explored	explore	VERB
ijassa-1393	328	34	to	to	PART
ijassa-1393	328	35	be	be	AUX
ijassa-1393	328	36	0.98	0.98	NUM
ijassa-1393	328	37	,	,	PUNCT
ijassa-1393	328	38	0.97	0.97	NUM
ijassa-1393	328	39	,	,	PUNCT
ijassa-1393	328	40	and	and	CCONJ
ijassa-1393	328	41	0.97	0.97	NUM
ijassa-1393	328	42	.	.	PUNCT
ijassa-1393	329	1	additionally	additionally	ADV
ijassa-1393	329	2	,	,	PUNCT
ijassa-1393	329	3	test	test	NOUN
ijassa-1393	329	4	analyses	analysis	NOUN
ijassa-1393	329	5	for	for	ADP
ijassa-1393	329	6	all	all	DET
ijassa-1393	329	7	plant	plant	NOUN
ijassa-1393	329	8	types	type	NOUN
ijassa-1393	329	9	are	be	AUX
ijassa-1393	329	10	exposed	expose	VERB
ijassa-1393	329	11	in	in	ADP
ijassa-1393	329	12	table	table	NOUN
ijassa-1393	329	13	7	7	NUM
ijassa-1393	329	14	.	.	PUNCT
ijassa-1393	329	15	table	table	NOUN
ijassa-1393	329	16	7	7	NUM
ijassa-1393	329	17	.	.	PUNCT
ijassa-1393	329	18	test	test	NOUN
ijassa-1393	329	19	analysis	analysis	NOUN
ijassa-1393	329	20	test	test	NOUN
ijassa-1393	329	21	-	-	PUNCT
ijassa-1393	329	22	analysis	analysis	NOUN
ijassa-1393	329	23	range	range	NOUN
ijassa-1393	329	24	k	k	NOUN
ijassa-1393	329	25	-	-	PUNCT
ijassa-1393	329	26	values	value	NOUN
ijassa-1393	329	27	landis	landis	PROPN
ijassa-1393	329	28	and	and	CCONJ
ijassa-1393	329	29	koch	koch	PROPN
ijassa-1393	329	30	substantial	substantial	ADJ
ijassa-1393	329	31	0.96	0.96	NUM
ijassa-1393	329	32	fleiss	fleiss	NOUN
ijassa-1393	329	33	intermediate	intermediate	ADJ
ijassa-1393	329	34	to	to	PART
ijassa-1393	329	35	good	good	ADJ
ijassa-1393	329	36	0.87	0.87	NUM
ijassa-1393	329	37	cicchetti	cicchetti	ADV
ijassa-1393	329	38	good	good	ADJ
ijassa-1393	329	39	0.94	0.94	NUM
ijassa-1393	329	40	cramer	cramer	NOUN
ijassa-1393	329	41	strong	strong	ADJ
ijassa-1393	329	42	0.86	0.86	NUM
ijassa-1393	329	43	matthews	matthew	NOUN
ijassa-1393	329	44	moderate	moderate	ADJ
ijassa-1393	329	45	0.86	0.86	NUM
ijassa-1393	329	46	scott	scott	NOUN
ijassa-1393	329	47	-	-	PUNCT
ijassa-1393	329	48	pi	pi	NOUN
ijassa-1393	329	49	perfect	perfect	ADJ
ijassa-1393	329	50	agreement	agreement	NOUN
ijassa-1393	329	51	0.8812	0.8812	NUM
ijassa-1393	329	52	table	table	NOUN
ijassa-1393	329	53	7	7	NUM
ijassa-1393	329	54	shows	show	VERB
ijassa-1393	329	55	that	that	SCONJ
ijassa-1393	329	56	the	the	DET
ijassa-1393	329	57	proposed	propose	VERB
ijassa-1393	329	58	system	system	NOUN
ijassa-1393	329	59	has	have	VERB
ijassa-1393	329	60	a	a	DET
ijassa-1393	329	61	higher	high	ADJ
ijassa-1393	329	62	k	k	NOUN
ijassa-1393	329	63	-	-	NOUN
ijassa-1393	329	64	value	value	NOUN
ijassa-1393	329	65	of	of	ADP
ijassa-1393	329	66	0.96	0.96	NUM
ijassa-1393	329	67	for	for	ADP
ijassa-1393	329	68	the	the	DET
ijassa-1393	329	69	landis	landis	PROPN
ijassa-1393	329	70	and	and	CCONJ
ijassa-1393	329	71	koch	koch	PROPN
ijassa-1393	329	72	test	test	NOUN
ijassa-1393	329	73	than	than	ADP
ijassa-1393	329	74	other	other	ADJ
ijassa-1393	329	75	test	test	NOUN
ijassa-1393	329	76	analyses	analysis	NOUN
ijassa-1393	329	77	of	of	ADP
ijassa-1393	329	78	fleiss	fleiss	NOUN
ijassa-1393	329	79	exposing	expose	VERB
ijassa-1393	329	80	0.87	0.87	NUM
ijassa-1393	329	81	,	,	PUNCT
ijassa-1393	329	82	cramer	cramer	NOUN
ijassa-1393	329	83	exploring	explore	VERB
ijassa-1393	329	84	0.86	0.86	NUM
ijassa-1393	329	85	,	,	PUNCT
ijassa-1393	329	86	scott	scott	NOUN
ijassa-1393	329	87	-	-	PUNCT
ijassa-1393	329	88	pi	pi	NOUN
ijassa-1393	329	89	showing	show	VERB
ijassa-1393	329	90	0.8812	0.8812	NUM
ijassa-1393	329	91	,	,	PUNCT
ijassa-1393	329	92	matthews	matthews	PROPN
ijassa-1393	329	93	exposing	expose	VERB
ijassa-1393	329	94	0.86	0.86	NUM
ijassa-1393	329	95	and	and	CCONJ
ijassa-1393	329	96	cicchetti	cicchetti	ADV
ijassa-1393	329	97	exploring	explore	VERB
ijassa-1393	329	98	0.94	0.94	NUM
ijassa-1393	329	99	as	as	ADP
ijassa-1393	329	100	k	k	NOUN
ijassa-1393	329	101	-	-	NOUN
ijassa-1393	329	102	value	value	NOUN
ijassa-1393	329	103	.	.	PUNCT
ijassa-1393	330	1	furthermore	furthermore	ADV
ijassa-1393	330	2	,	,	PUNCT
ijassa-1393	330	3	a	a	DET
ijassa-1393	330	4	confusion	confusion	NOUN
ijassa-1393	330	5	matrix	matrix	NOUN
ijassa-1393	330	6	is	be	AUX
ijassa-1393	330	7	procured	procure	VERB
ijassa-1393	330	8	for	for	ADP
ijassa-1393	330	9	the	the	DET
ijassa-1393	330	10	piper	piper	NOUN
ijassa-1393	330	11	plant	plant	NOUN
ijassa-1393	330	12	and	and	CCONJ
ijassa-1393	330	13	all	all	DET
ijassa-1393	330	14	plant	plant	NOUN
ijassa-1393	330	15	classifications	classification	NOUN
ijassa-1393	330	16	.	.	PUNCT
ijassa-1393	331	1	deep	deep	ADJ
ijassa-1393	331	2	feature	feature	NOUN
ijassa-1393	331	3	extraction	extraction	NOUN
ijassa-1393	331	4	and	and	CCONJ
ijassa-1393	331	5	weight	weight	NOUN
ijassa-1393	331	6	updated	update	VERB
ijassa-1393	331	7	tuned	tune	VERB
ijassa-1393	331	8	random	random	ADJ
ijassa-1393	331	9	forest	forest	NOUN
ijassa-1393	331	10	…	…	PUNCT
ijassa-1393	331	11	147	147	NUM
ijassa-1393	331	12	copyright	copyright	NOUN
ijassa-1393	331	13	©	©	PROPN
ijassa-1393	331	14	2023	2023	NUM
ijassa-1393	331	15	assa	assa	NOUN
ijassa-1393	331	16	.	.	PUNCT
ijassa-1393	332	1	adv	adv	PROPN
ijassa-1393	332	2	.	.	PUNCT
ijassa-1393	333	1	in	in	ADP
ijassa-1393	333	2	systems	system	NOUN
ijassa-1393	333	3	science	science	NOUN
ijassa-1393	333	4	and	and	CCONJ
ijassa-1393	333	5	appl	appl	NOUN
ijassa-1393	333	6	.	.	PUNCT
ijassa-1393	334	1	(	(	PUNCT
ijassa-1393	334	2	2023	2023	NUM
ijassa-1393	334	3	)	)	PUNCT
ijassa-1393	334	4	this	this	DET
ijassa-1393	334	5	assists	assist	VERB
ijassa-1393	334	6	in	in	ADP
ijassa-1393	334	7	defining	define	VERB
ijassa-1393	334	8	the	the	DET
ijassa-1393	334	9	classifier	classifier	ADJ
ijassa-1393	334	10	performance	performance	NOUN
ijassa-1393	334	11	.	.	PUNCT
ijassa-1393	335	1	it	it	PRON
ijassa-1393	335	2	also	also	ADV
ijassa-1393	335	3	affords	afford	VERB
ijassa-1393	335	4	information	information	NOUN
ijassa-1393	335	5	regarding	regard	VERB
ijassa-1393	335	6	classification	classification	NOUN
ijassa-1393	335	7	errors	error	NOUN
ijassa-1393	335	8	.	.	PUNCT
ijassa-1393	336	1	finally	finally	ADV
ijassa-1393	336	2	,	,	PUNCT
ijassa-1393	336	3	it	it	PRON
ijassa-1393	336	4	reflects	reflect	VERB
ijassa-1393	336	5	how	how	SCONJ
ijassa-1393	336	6	the	the	DET
ijassa-1393	336	7	classifier	classifier	NOUN
ijassa-1393	336	8	needs	need	VERB
ijassa-1393	336	9	to	to	PART
ijassa-1393	336	10	be	be	AUX
ijassa-1393	336	11	more	more	ADV
ijassa-1393	336	12	disordered	disordered	ADJ
ijassa-1393	336	13	and	and	CCONJ
ijassa-1393	336	14	clear	clear	ADJ
ijassa-1393	336	15	in	in	ADP
ijassa-1393	336	16	making	make	VERB
ijassa-1393	336	17	predictions	prediction	NOUN
ijassa-1393	336	18	.	.	PUNCT
ijassa-1393	337	1	accordingly	accordingly	ADV
ijassa-1393	337	2	,	,	PUNCT
ijassa-1393	337	3	the	the	DET
ijassa-1393	337	4	confusion	confusion	NOUN
ijassa-1393	337	5	matrix	matrix	NOUN
ijassa-1393	337	6	of	of	ADP
ijassa-1393	337	7	piper	piper	NOUN
ijassa-1393	337	8	plant	plant	NOUN
ijassa-1393	337	9	classification	classification	NOUN
ijassa-1393	337	10	is	be	AUX
ijassa-1393	337	11	exposed	expose	VERB
ijassa-1393	337	12	in	in	ADP
ijassa-1393	337	13	figure	figure	NOUN
ijassa-1393	337	14	13	13	NUM
ijassa-1393	337	15	.	.	PUNCT
ijassa-1393	338	1	figure	figure	NOUN
ijassa-1393	338	2	13	13	NUM
ijassa-1393	338	3	.	.	PUNCT
ijassa-1393	339	1	confusion	confusion	NOUN
ijassa-1393	339	2	matrix	matrix	NOUN
ijassa-1393	339	3	of	of	ADP
ijassa-1393	339	4	piper	piper	NOUN
ijassa-1393	339	5	plant	plant	NOUN
ijassa-1393	339	6	classification	classification	NOUN
ijassa-1393	339	7	from	from	ADP
ijassa-1393	339	8	figure	figure	NOUN
ijassa-1393	339	9	13	13	NUM
ijassa-1393	339	10	,	,	PUNCT
ijassa-1393	339	11	it	it	PRON
ijassa-1393	339	12	is	be	AUX
ijassa-1393	339	13	exposed	expose	VERB
ijassa-1393	339	14	that	that	SCONJ
ijassa-1393	339	15	the	the	DET
ijassa-1393	339	16	correct	correct	ADJ
ijassa-1393	339	17	classification	classification	NOUN
ijassa-1393	339	18	rate	rate	NOUN
ijassa-1393	339	19	is	be	AUX
ijassa-1393	339	20	found	find	VERB
ijassa-1393	339	21	to	to	PART
ijassa-1393	339	22	be	be	AUX
ijassa-1393	339	23	high	high	ADJ
ijassa-1393	339	24	than	than	ADP
ijassa-1393	339	25	the	the	DET
ijassa-1393	339	26	misclassification	misclassification	NOUN
ijassa-1393	339	27	rate	rate	NOUN
ijassa-1393	339	28	.	.	PUNCT
ijassa-1393	340	1	in	in	ADP
ijassa-1393	340	2	this	this	DET
ijassa-1393	340	3	case	case	NOUN
ijassa-1393	340	4	,	,	PUNCT
ijassa-1393	340	5	the	the	DET
ijassa-1393	340	6	correct	correct	ADJ
ijassa-1393	340	7	classifications	classification	NOUN
ijassa-1393	340	8	could	could	AUX
ijassa-1393	340	9	be	be	AUX
ijassa-1393	340	10	seen	see	VERB
ijassa-1393	340	11	in	in	ADP
ijassa-1393	340	12	a	a	DET
ijassa-1393	340	13	diagonal	diagonal	NOUN
ijassa-1393	340	14	.	.	PUNCT
ijassa-1393	341	1	therefore	therefore	ADV
ijassa-1393	341	2	,	,	PUNCT
ijassa-1393	341	3	the	the	DET
ijassa-1393	341	4	proposed	propose	VERB
ijassa-1393	341	5	system	system	NOUN
ijassa-1393	341	6	is	be	AUX
ijassa-1393	341	7	exposed	expose	VERB
ijassa-1393	341	8	to	to	PART
ijassa-1393	341	9	be	be	AUX
ijassa-1393	341	10	better	well	ADJ
ijassa-1393	341	11	due	due	ADJ
ijassa-1393	341	12	to	to	ADP
ijassa-1393	341	13	the	the	DET
ijassa-1393	341	14	high	high	ADJ
ijassa-1393	341	15	rate	rate	NOUN
ijassa-1393	341	16	of	of	ADP
ijassa-1393	341	17	correct	correct	ADJ
ijassa-1393	341	18	classification	classification	NOUN
ijassa-1393	341	19	than	than	ADP
ijassa-1393	341	20	the	the	DET
ijassa-1393	341	21	misclassification	misclassification	NOUN
ijassa-1393	341	22	rate	rate	NOUN
ijassa-1393	341	23	.	.	PUNCT
ijassa-1393	342	1	in	in	ADP
ijassa-1393	342	2	addition	addition	NOUN
ijassa-1393	342	3	,	,	PUNCT
ijassa-1393	342	4	the	the	DET
ijassa-1393	342	5	confusion	confusion	NOUN
ijassa-1393	342	6	matrix	matrix	NOUN
ijassa-1393	342	7	of	of	ADP
ijassa-1393	342	8	all	all	DET
ijassa-1393	342	9	plant	plant	NOUN
ijassa-1393	342	10	classifications	classification	NOUN
ijassa-1393	342	11	is	be	AUX
ijassa-1393	342	12	exposed	expose	VERB
ijassa-1393	342	13	in	in	ADP
ijassa-1393	342	14	figure	figure	NOUN
ijassa-1393	342	15	14	14	NUM
ijassa-1393	342	16	.	.	PUNCT
ijassa-1393	343	1	figure	figure	NOUN
ijassa-1393	343	2	14	14	NUM
ijassa-1393	343	3	.	.	PUNCT
ijassa-1393	344	1	confusion	confusion	NOUN
ijassa-1393	344	2	matrix	matrix	NOUN
ijassa-1393	344	3	of	of	ADP
ijassa-1393	344	4	all	all	DET
ijassa-1393	344	5	plant	plant	NOUN
ijassa-1393	344	6	classification	classification	NOUN
ijassa-1393	344	7	from	from	ADP
ijassa-1393	344	8	figure	figure	NOUN
ijassa-1393	344	9	14	14	NUM
ijassa-1393	344	10	,	,	PUNCT
ijassa-1393	344	11	the	the	DET
ijassa-1393	344	12	correct	correct	ADJ
ijassa-1393	344	13	classification	classification	NOUN
ijassa-1393	344	14	rate	rate	NOUN
ijassa-1393	344	15	is	be	AUX
ijassa-1393	344	16	higher	high	ADJ
ijassa-1393	344	17	than	than	ADP
ijassa-1393	344	18	the	the	DET
ijassa-1393	344	19	misclassification	misclassification	NOUN
ijassa-1393	344	20	rate	rate	NOUN
ijassa-1393	344	21	.	.	PUNCT
ijassa-1393	345	1	in	in	ADP
ijassa-1393	345	2	such	such	ADJ
ijassa-1393	345	3	cases	case	NOUN
ijassa-1393	345	4	,	,	PUNCT
ijassa-1393	345	5	the	the	DET
ijassa-1393	345	6	classifications	classification	NOUN
ijassa-1393	345	7	performed	perform	VERB
ijassa-1393	345	8	correctly	correctly	ADV
ijassa-1393	345	9	could	could	AUX
ijassa-1393	345	10	be	be	AUX
ijassa-1393	345	11	seen	see	VERB
ijassa-1393	345	12	in	in	ADP
ijassa-1393	345	13	diagonal	diagonal	ADJ
ijassa-1393	345	14	.	.	PUNCT
ijassa-1393	346	1	due	due	ADP
ijassa-1393	346	2	to	to	ADP
ijassa-1393	346	3	such	such	DET
ijassa-1393	346	4	a	a	DET
ijassa-1393	346	5	high	high	ADJ
ijassa-1393	346	6	rate	rate	NOUN
ijassa-1393	346	7	of	of	ADP
ijassa-1393	346	8	correct	correct	ADJ
ijassa-1393	346	9	classification	classification	NOUN
ijassa-1393	346	10	in	in	ADP
ijassa-1393	346	11	comparison	comparison	NOUN
ijassa-1393	346	12	to	to	ADP
ijassa-1393	346	13	the	the	DET
ijassa-1393	346	14	misclassification	misclassification	NOUN
ijassa-1393	346	15	rate	rate	NOUN
ijassa-1393	346	16	,	,	PUNCT
ijassa-1393	346	17	the	the	DET
ijassa-1393	346	18	proposed	propose	VERB
ijassa-1393	346	19	system	system	NOUN
ijassa-1393	346	20	is	be	AUX
ijassa-1393	346	21	found	find	VERB
ijassa-1393	346	22	to	to	PART
ijassa-1393	346	23	be	be	AUX
ijassa-1393	346	24	better	well	ADJ
ijassa-1393	346	25	.	.	PUNCT
ijassa-1393	347	1	4.5	4.5	NUM
ijassa-1393	347	2	.	.	PUNCT
ijassa-1393	348	1	internal	internal	ADJ
ijassa-1393	348	2	comparison	comparison	NOUN
ijassa-1393	348	3	the	the	DET
ijassa-1393	348	4	present	present	ADJ
ijassa-1393	348	5	research	research	NOUN
ijassa-1393	348	6	has	have	AUX
ijassa-1393	348	7	considered	consider	VERB
ijassa-1393	348	8	a	a	DET
ijassa-1393	348	9	real	real	ADJ
ijassa-1393	348	10	-	-	PUNCT
ijassa-1393	348	11	time	time	NOUN
ijassa-1393	348	12	dataset	dataset	NOUN
ijassa-1393	348	13	;	;	PUNCT
ijassa-1393	348	14	thus	thus	ADV
ijassa-1393	348	15	,	,	PUNCT
ijassa-1393	348	16	it	it	PRON
ijassa-1393	348	17	is	be	AUX
ijassa-1393	348	18	impossible	impossible	ADJ
ijassa-1393	348	19	to	to	PART
ijassa-1393	348	20	compare	compare	VERB
ijassa-1393	348	21	the	the	DET
ijassa-1393	348	22	present	present	ADJ
ijassa-1393	348	23	study	study	NOUN
ijassa-1393	348	24	with	with	ADP
ijassa-1393	348	25	conventional	conventional	ADJ
ijassa-1393	348	26	works	work	NOUN
ijassa-1393	348	27	.	.	PUNCT
ijassa-1393	349	1	however	however	ADV
ijassa-1393	349	2	,	,	PUNCT
ijassa-1393	349	3	the	the	DET
ijassa-1393	349	4	proposed	propose	VERB
ijassa-1393	349	5	system	system	NOUN
ijassa-1393	349	6	is	be	AUX
ijassa-1393	349	7	internally	internally	ADV
ijassa-1393	349	8	compared	compare	VERB
ijassa-1393	349	9	during	during	ADP
ijassa-1393	349	10	the	the	DET
ijassa-1393	349	11	implementation	implementation	NOUN
ijassa-1393	349	12	phase	phase	NOUN
ijassa-1393	349	13	,	,	PUNCT
ijassa-1393	349	14	and	and	CCONJ
ijassa-1393	349	15	the	the	DET
ijassa-1393	349	16	corresponding	correspond	VERB
ijassa-1393	349	17	outcomes	outcome	NOUN
ijassa-1393	349	18	that	that	PRON
ijassa-1393	349	19	have	have	AUX
ijassa-1393	349	20	been	be	AUX
ijassa-1393	349	21	attained	attain	VERB
ijassa-1393	349	22	are	be	AUX
ijassa-1393	349	23	exposed	expose	VERB
ijassa-1393	349	24	in	in	ADP
ijassa-1393	349	25	this	this	DET
ijassa-1393	349	26	section	section	NOUN
ijassa-1393	349	27	.	.	PUNCT
ijassa-1393	350	1	initially	initially	ADV
ijassa-1393	350	2	,	,	PUNCT
ijassa-1393	350	3	the	the	DET
ijassa-1393	350	4	comparison	comparison	NOUN
ijassa-1393	350	5	was	be	AUX
ijassa-1393	350	6	undertaken	undertake	VERB
ijassa-1393	350	7	for	for	ADP
ijassa-1393	350	8	piper	piper	NOUN
ijassa-1393	350	9	plant	plant	NOUN
ijassa-1393	350	10	classification	classification	NOUN
ijassa-1393	350	11	.	.	PUNCT
ijassa-1393	351	1	therefore	therefore	ADV
ijassa-1393	351	2	,	,	PUNCT
ijassa-1393	351	3	existing	exist	VERB
ijassa-1393	351	4	algorithms	algorithm	NOUN
ijassa-1393	351	5	,	,	PUNCT
ijassa-1393	351	6	namely	namely	ADV
ijassa-1393	351	7	xgboost	xgboost	PROPN
ijassa-1393	351	8	,	,	PUNCT
ijassa-1393	351	9	svm	svm	ADJ
ijassa-1393	351	10	,	,	PUNCT
ijassa-1393	351	11	and	and	CCONJ
ijassa-1393	351	12	rf	rf	VERB
ijassa-1393	351	13	,	,	PUNCT
ijassa-1393	351	14	have	have	AUX
ijassa-1393	351	15	been	be	AUX
ijassa-1393	351	16	regarded	regard	VERB
ijassa-1393	351	17	in	in	ADP
ijassa-1393	351	18	this	this	DET
ijassa-1393	351	19	case	case	NOUN
ijassa-1393	351	20	.	.	PUNCT
ijassa-1393	352	1	the	the	DET
ijassa-1393	352	2	attained	attain	VERB
ijassa-1393	352	3	results	result	NOUN
ijassa-1393	352	4	are	be	AUX
ijassa-1393	352	5	exposed	expose	VERB
ijassa-1393	352	6	in	in	ADP
ijassa-1393	352	7	table	table	NOUN
ijassa-1393	352	8	8	8	NUM
ijassa-1393	352	9	,	,	PUNCT
ijassa-1393	352	10	with	with	ADP
ijassa-1393	352	11	its	its	PRON
ijassa-1393	352	12	graphical	graphical	ADJ
ijassa-1393	352	13	depiction	depiction	NOUN
ijassa-1393	352	14	in	in	ADP
ijassa-1393	352	15	figure	figure	NOUN
ijassa-1393	352	16	15	15	NUM
ijassa-1393	352	17	.	.	PUNCT
ijassa-1393	352	18	table	table	NOUN
ijassa-1393	352	19	8	8	NUM
ijassa-1393	352	20	.	.	PUNCT
ijassa-1393	353	1	analysis	analysis	NOUN
ijassa-1393	353	2	of	of	ADP
ijassa-1393	353	3	piper	piper	NOUN
ijassa-1393	353	4	plant	plant	NOUN
ijassa-1393	353	5	classification	classification	NOUN
ijassa-1393	353	6	about	about	ADP
ijassa-1393	353	7	performance	performance	NOUN
ijassa-1393	353	8	metrics	metric	NOUN
ijassa-1393	353	9	piper	piper	NOUN
ijassa-1393	353	10	plants	plant	NOUN
ijassa-1393	353	11	accuracy	accuracy	NOUN
ijassa-1393	353	12	precision	precision	NOUN
ijassa-1393	353	13	recall	recall	NOUN
ijassa-1393	353	14	f1	f1	NOUN
ijassa-1393	353	15	-	-	PUNCT
ijassa-1393	353	16	score	score	NOUN
ijassa-1393	353	17	xgboost	xgboost	ADP
ijassa-1393	353	18	0.56	0.56	NUM
ijassa-1393	353	19	0.56	0.56	NUM
ijassa-1393	353	20	0.56	0.56	NUM
ijassa-1393	353	21	0.57	0.57	NUM
ijassa-1393	353	22	support	support	NOUN
ijassa-1393	353	23	vector	vector	NOUN
ijassa-1393	353	24	classifier	classifier	NOUN
ijassa-1393	353	25	0.24	0.24	NUM
ijassa-1393	353	26	0.24	0.24	NUM
ijassa-1393	353	27	0.231	0.231	NUM
ijassa-1393	353	28	0.24	0.24	NUM
ijassa-1393	353	29	random	random	ADJ
ijassa-1393	353	30	forest	forest	NOUN
ijassa-1393	353	31	0.65	0.65	NUM
ijassa-1393	353	32	0.65	0.65	NUM
ijassa-1393	353	33	0.64	0.64	NUM
ijassa-1393	353	34	0.64	0.64	NUM
ijassa-1393	353	35	proposed	propose	VERB
ijassa-1393	353	36	algorithm	algorithm	NOUN
ijassa-1393	353	37	0.99	0.99	NUM
ijassa-1393	353	38	0.99	0.99	NUM
ijassa-1393	353	39	0.99	0.99	NUM
ijassa-1393	353	40	0.99	0.99	NUM
ijassa-1393	353	41	148	148	NUM
ijassa-1393	353	42	i.	i.	NOUN
ijassa-1393	353	43	petrov	petrov	PROPN
ijassa-1393	353	44	,	,	PUNCT
ijassa-1393	353	45	j.f	j.f	PROPN
ijassa-1393	353	46	.	.	PROPN
ijassa-1393	353	47	doe	doe	NOUN
ijassa-1393	353	48	copyright	copyright	NOUN
ijassa-1393	353	49	©	©	PROPN
ijassa-1393	353	50	2023	2023	NUM
ijassa-1393	353	51	assa	assa	PROPN
ijassa-1393	353	52	adv	adv	PROPN
ijassa-1393	353	53	.	.	PUNCT
ijassa-1393	354	1	in	in	ADP
ijassa-1393	354	2	systems	system	NOUN
ijassa-1393	354	3	science	science	NOUN
ijassa-1393	354	4	and	and	CCONJ
ijassa-1393	354	5	appl	appl	NOUN
ijassa-1393	354	6	.	.	PUNCT
ijassa-1393	355	1	(	(	PUNCT
ijassa-1393	355	2	2023	2023	NUM
ijassa-1393	355	3	)	)	PUNCT
ijassa-1393	355	4	figure	figure	NOUN
ijassa-1393	355	5	15.analysis	15.analysis	NUM
ijassa-1393	355	6	of	of	ADP
ijassa-1393	355	7	piper	piper	NOUN
ijassa-1393	355	8	plant	plant	NOUN
ijassa-1393	355	9	classification	classification	NOUN
ijassa-1393	355	10	table	table	NOUN
ijassa-1393	355	11	8	8	NUM
ijassa-1393	355	12	and	and	CCONJ
ijassa-1393	355	13	figure	figure	VERB
ijassa-1393	355	14	15	15	NUM
ijassa-1393	355	15	show	show	NOUN
ijassa-1393	355	16	that	that	SCONJ
ijassa-1393	355	17	existing	exist	VERB
ijassa-1393	355	18	algorithms	algorithm	NOUN
ijassa-1393	355	19	like	like	ADP
ijassa-1393	355	20	rf	rf	PRON
ijassa-1393	355	21	have	have	AUX
ijassa-1393	355	22	exposed	expose	VERB
ijassa-1393	355	23	0.65	0.65	NUM
ijassa-1393	355	24	as	as	ADP
ijassa-1393	355	25	accuracy	accuracy	NOUN
ijassa-1393	355	26	,	,	PUNCT
ijassa-1393	355	27	while	while	SCONJ
ijassa-1393	355	28	svm	svm	PROPN
ijassa-1393	355	29	has	have	AUX
ijassa-1393	355	30	explored	explore	VERB
ijassa-1393	355	31	0.24	0.24	NUM
ijassa-1393	355	32	and	and	CCONJ
ijassa-1393	355	33	xgboost	xgboost	NOUN
ijassa-1393	355	34	has	have	AUX
ijassa-1393	355	35	revealed	reveal	VERB
ijassa-1393	355	36	0.56	0.56	NUM
ijassa-1393	355	37	.	.	PUNCT
ijassa-1393	356	1	similarly	similarly	ADV
ijassa-1393	356	2	,	,	PUNCT
ijassa-1393	356	3	the	the	DET
ijassa-1393	356	4	precision	precision	NOUN
ijassa-1393	356	5	,	,	PUNCT
ijassa-1393	356	6	recall	recall	NOUN
ijassa-1393	356	7	,	,	PUNCT
ijassa-1393	356	8	and	and	CCONJ
ijassa-1393	356	9	f1	f1	ADJ
ijassa-1393	356	10	-	-	PUNCT
ijassa-1393	356	11	score	score	NOUN
ijassa-1393	356	12	rate	rate	NOUN
ijassa-1393	356	13	have	have	AUX
ijassa-1393	356	14	been	be	AUX
ijassa-1393	356	15	different	different	ADJ
ijassa-1393	356	16	for	for	ADP
ijassa-1393	356	17	the	the	DET
ijassa-1393	356	18	considered	consider	VERB
ijassa-1393	356	19	algorithms	algorithm	NOUN
ijassa-1393	356	20	.	.	PUNCT
ijassa-1393	357	1	however	however	ADV
ijassa-1393	357	2	,	,	PUNCT
ijassa-1393	357	3	the	the	DET
ijassa-1393	357	4	proposed	propose	VERB
ijassa-1393	357	5	system	system	NOUN
ijassa-1393	357	6	has	have	AUX
ijassa-1393	357	7	explored	explore	VERB
ijassa-1393	357	8	high	high	ADJ
ijassa-1393	357	9	classification	classification	NOUN
ijassa-1393	357	10	performance	performance	NOUN
ijassa-1393	357	11	for	for	ADP
ijassa-1393	357	12	piper	piper	NOUN
ijassa-1393	357	13	plant	plant	NOUN
ijassa-1393	357	14	classification	classification	NOUN
ijassa-1393	357	15	by	by	ADP
ijassa-1393	357	16	exposing	expose	VERB
ijassa-1393	357	17	0.99	0.99	NUM
ijassa-1393	357	18	as	as	ADP
ijassa-1393	357	19	the	the	DET
ijassa-1393	357	20	accuracy	accuracy	NOUN
ijassa-1393	357	21	rate	rate	NOUN
ijassa-1393	357	22	,	,	PUNCT
ijassa-1393	357	23	0.99	0.99	NUM
ijassa-1393	357	24	as	as	ADP
ijassa-1393	357	25	the	the	DET
ijassa-1393	357	26	precision	precision	NOUN
ijassa-1393	357	27	rate	rate	NOUN
ijassa-1393	357	28	,	,	PUNCT
ijassa-1393	357	29	0.99	0.99	NUM
ijassa-1393	357	30	as	as	ADP
ijassa-1393	357	31	the	the	DET
ijassa-1393	357	32	recall	recall	NOUN
ijassa-1393	357	33	rate	rate	NOUN
ijassa-1393	357	34	,	,	PUNCT
ijassa-1393	357	35	and	and	CCONJ
ijassa-1393	357	36	0.99	0.99	NUM
ijassa-1393	357	37	as	as	ADP
ijassa-1393	357	38	the	the	DET
ijassa-1393	357	39	f1	f1	NOUN
ijassa-1393	357	40	-	-	PUNCT
ijassa-1393	357	41	score	score	NOUN
ijassa-1393	357	42	rate	rate	NOUN
ijassa-1393	357	43	.	.	PUNCT
ijassa-1393	358	1	similarly	similarly	ADV
ijassa-1393	358	2	,	,	PUNCT
ijassa-1393	358	3	the	the	DET
ijassa-1393	358	4	comparison	comparison	NOUN
ijassa-1393	358	5	has	have	AUX
ijassa-1393	358	6	been	be	AUX
ijassa-1393	358	7	undertaken	undertake	VERB
ijassa-1393	358	8	for	for	ADP
ijassa-1393	358	9	all	all	DET
ijassa-1393	358	10	plant	plant	NOUN
ijassa-1393	358	11	classifications	classification	NOUN
ijassa-1393	358	12	.	.	PUNCT
ijassa-1393	359	1	again	again	ADV
ijassa-1393	359	2	,	,	PUNCT
ijassa-1393	359	3	existing	exist	VERB
ijassa-1393	359	4	algorithms	algorithm	NOUN
ijassa-1393	359	5	,	,	PUNCT
ijassa-1393	359	6	namely	namely	ADV
ijassa-1393	359	7	xgboost	xgboost	PROPN
ijassa-1393	359	8	,	,	PUNCT
ijassa-1393	359	9	svm	svm	ADJ
ijassa-1393	359	10	,	,	PUNCT
ijassa-1393	359	11	and	and	CCONJ
ijassa-1393	359	12	rf	rf	VERB
ijassa-1393	359	13	,	,	PUNCT
ijassa-1393	359	14	have	have	AUX
ijassa-1393	359	15	been	be	AUX
ijassa-1393	359	16	regarded	regard	VERB
ijassa-1393	359	17	.	.	PUNCT
ijassa-1393	360	1	the	the	DET
ijassa-1393	360	2	attained	attain	VERB
ijassa-1393	360	3	results	result	NOUN
ijassa-1393	360	4	are	be	AUX
ijassa-1393	360	5	exposed	expose	VERB
ijassa-1393	360	6	in	in	ADP
ijassa-1393	360	7	table	table	NOUN
ijassa-1393	360	8	9	9	NUM
ijassa-1393	360	9	,	,	PUNCT
ijassa-1393	360	10	with	with	ADP
ijassa-1393	360	11	its	its	PRON
ijassa-1393	360	12	graphical	graphical	ADJ
ijassa-1393	360	13	depiction	depiction	NOUN
ijassa-1393	360	14	in	in	ADP
ijassa-1393	360	15	figure	figure	NOUN
ijassa-1393	360	16	16	16	NUM
ijassa-1393	360	17	.	.	PUNCT
ijassa-1393	361	1	table-9	table-9	NOUN
ijassa-1393	361	2	.	.	PUNCT
ijassa-1393	362	1	analysis	analysis	NOUN
ijassa-1393	362	2	of	of	ADP
ijassa-1393	362	3	all	all	DET
ijassa-1393	362	4	plant	plant	NOUN
ijassa-1393	362	5	classifications	classification	NOUN
ijassa-1393	362	6	about	about	ADP
ijassa-1393	362	7	performance	performance	NOUN
ijassa-1393	362	8	metrics	metric	NOUN
ijassa-1393	362	9	all	all	DET
ijassa-1393	362	10	plants	plant	NOUN
ijassa-1393	362	11	accuracy	accuracy	NOUN
ijassa-1393	362	12	precision	precision	NOUN
ijassa-1393	362	13	recall	recall	NOUN
ijassa-1393	362	14	f1	f1	NOUN
ijassa-1393	362	15	-	-	PUNCT
ijassa-1393	362	16	score	score	NOUN
ijassa-1393	362	17	xgboost	xgboost	ADV
ijassa-1393	362	18	0.75	0.75	NUM
ijassa-1393	362	19	0.75	0.75	NUM
ijassa-1393	362	20	0.75	0.75	NUM
ijassa-1393	362	21	0.78	0.78	NUM
ijassa-1393	362	22	support	support	NOUN
ijassa-1393	362	23	vector	vector	NOUN
ijassa-1393	362	24	classifier	classifier	NOUN
ijassa-1393	362	25	0.52	0.52	NUM
ijassa-1393	362	26	0.52	0.52	NUM
ijassa-1393	362	27	0.53	0.53	NUM
ijassa-1393	362	28	0.53	0.53	NUM
ijassa-1393	362	29	random	random	ADJ
ijassa-1393	362	30	forest	forest	NOUN
ijassa-1393	362	31	0.8	0.8	NUM
ijassa-1393	362	32	0.81	0.81	NUM
ijassa-1393	362	33	0.81	0.81	NUM
ijassa-1393	362	34	0.81	0.81	NUM
ijassa-1393	362	35	proposed	propose	VERB
ijassa-1393	362	36	algorithm	algorithm	NOUN
ijassa-1393	362	37	0.97	0.97	NUM
ijassa-1393	362	38	0.98	0.98	NUM
ijassa-1393	362	39	0.97	0.97	NUM
ijassa-1393	362	40	0.97	0.97	NUM
ijassa-1393	362	41	figure	figure	NOUN
ijassa-1393	362	42	16.analysis	16.analysis	NUM
ijassa-1393	362	43	of	of	ADP
ijassa-1393	362	44	all	all	DET
ijassa-1393	362	45	plant	plant	NOUN
ijassa-1393	362	46	classification	classification	NOUN
ijassa-1393	362	47	table	table	NOUN
ijassa-1393	362	48	9	9	NUM
ijassa-1393	362	49	and	and	CCONJ
ijassa-1393	362	50	figure	figure	VERB
ijassa-1393	362	51	16	16	NUM
ijassa-1393	362	52	show	show	VERB
ijassa-1393	362	53	that	that	SCONJ
ijassa-1393	362	54	existing	exist	VERB
ijassa-1393	362	55	algorithms	algorithm	NOUN
ijassa-1393	362	56	like	like	ADP
ijassa-1393	362	57	rf	rf	PRON
ijassa-1393	362	58	have	have	AUX
ijassa-1393	362	59	exposed	expose	VERB
ijassa-1393	362	60	0.8	0.8	NUM
ijassa-1393	362	61	as	as	ADP
ijassa-1393	362	62	accuracy	accuracy	NOUN
ijassa-1393	362	63	,	,	PUNCT
ijassa-1393	362	64	while	while	SCONJ
ijassa-1393	362	65	svm	svm	PROPN
ijassa-1393	362	66	has	have	AUX
ijassa-1393	362	67	explored	explore	VERB
ijassa-1393	362	68	0.52	0.52	NUM
ijassa-1393	362	69	and	and	CCONJ
ijassa-1393	362	70	xgboost	xgboost	NOUN
ijassa-1393	362	71	has	have	AUX
ijassa-1393	362	72	revealed	reveal	VERB
ijassa-1393	362	73	0.75	0.75	NUM
ijassa-1393	362	74	.	.	PUNCT
ijassa-1393	363	1	similarly	similarly	ADV
ijassa-1393	363	2	,	,	PUNCT
ijassa-1393	363	3	the	the	DET
ijassa-1393	363	4	precision	precision	NOUN
ijassa-1393	363	5	,	,	PUNCT
ijassa-1393	363	6	recall	recall	NOUN
ijassa-1393	363	7	,	,	PUNCT
ijassa-1393	363	8	and	and	CCONJ
ijassa-1393	363	9	f1	f1	ADJ
ijassa-1393	363	10	-	-	PUNCT
ijassa-1393	363	11	score	score	NOUN
ijassa-1393	363	12	rate	rate	NOUN
ijassa-1393	363	13	have	have	AUX
ijassa-1393	363	14	been	be	AUX
ijassa-1393	363	15	different	different	ADJ
ijassa-1393	363	16	for	for	ADP
ijassa-1393	363	17	the	the	DET
ijassa-1393	363	18	considered	consider	VERB
ijassa-1393	363	19	algorithms	algorithm	NOUN
ijassa-1393	363	20	.	.	PUNCT
ijassa-1393	364	1	however	however	ADV
ijassa-1393	364	2	,	,	PUNCT
ijassa-1393	364	3	the	the	DET
ijassa-1393	364	4	proposed	propose	VERB
ijassa-1393	364	5	system	system	NOUN
ijassa-1393	364	6	has	have	AUX
ijassa-1393	364	7	explored	explore	VERB
ijassa-1393	364	8	high	high	ADJ
ijassa-1393	364	9	classification	classification	NOUN
ijassa-1393	364	10	performance	performance	NOUN
ijassa-1393	364	11	for	for	ADP
ijassa-1393	364	12	all	all	DET
ijassa-1393	364	13	plant	plant	NOUN
ijassa-1393	364	14	classifications	classification	NOUN
ijassa-1393	364	15	by	by	ADP
ijassa-1393	364	16	showing	show	VERB
ijassa-1393	364	17	0.97	0.97	NUM
ijassa-1393	364	18	as	as	ADP
ijassa-1393	364	19	the	the	DET
ijassa-1393	364	20	accuracy	accuracy	NOUN
ijassa-1393	364	21	rate	rate	NOUN
ijassa-1393	364	22	,	,	PUNCT
ijassa-1393	364	23	0.98	0.98	NUM
ijassa-1393	364	24	as	as	ADP
ijassa-1393	364	25	the	the	DET
ijassa-1393	364	26	precision	precision	NOUN
ijassa-1393	364	27	rate	rate	NOUN
ijassa-1393	364	28	,	,	PUNCT
ijassa-1393	364	29	0.97	0.97	NUM
ijassa-1393	364	30	as	as	ADP
ijassa-1393	364	31	the	the	DET
ijassa-1393	364	32	recall	recall	NOUN
ijassa-1393	364	33	rate	rate	NOUN
ijassa-1393	364	34	,	,	PUNCT
ijassa-1393	364	35	and	and	CCONJ
ijassa-1393	364	36	0.97	0.97	NUM
ijassa-1393	364	37	as	as	ADP
ijassa-1393	364	38	the	the	DET
ijassa-1393	364	39	f1	f1	NOUN
ijassa-1393	364	40	-	-	PUNCT
ijassa-1393	364	41	score	score	NOUN
ijassa-1393	364	42	rate	rate	NOUN
ijassa-1393	364	43	.	.	PUNCT
ijassa-1393	365	1	furthermore	furthermore	ADV
ijassa-1393	365	2	,	,	PUNCT
ijassa-1393	365	3	the	the	DET
ijassa-1393	365	4	proposed	propose	VERB
ijassa-1393	365	5	deep	deep	ADJ
ijassa-1393	365	6	cnn	cnn	PROPN
ijassa-1393	365	7	can	can	AUX
ijassa-1393	365	8	adjust	adjust	VERB
ijassa-1393	365	9	the	the	DET
ijassa-1393	365	10	parameters	parameter	NOUN
ijassa-1393	365	11	to	to	PART
ijassa-1393	365	12	minimize	minimize	VERB
ijassa-1393	365	13	the	the	DET
ijassa-1393	365	14	cost	cost	NOUN
ijassa-1393	365	15	-	-	PUNCT
ijassa-1393	365	16	functional	functional	ADJ
ijassa-1393	365	17	value	value	NOUN
ijassa-1393	365	18	.	.	PUNCT
ijassa-1393	366	1	furthermore	furthermore	ADV
ijassa-1393	366	2	,	,	PUNCT
ijassa-1393	366	3	inception	inception	PROPN
ijassa-1393	366	4	v3	v3	PROPN
ijassa-1393	366	5	can	can	AUX
ijassa-1393	366	6	perform	perform	VERB
ijassa-1393	366	7	network	network	NOUN
ijassa-1393	366	8	optimization	optimization	NOUN
ijassa-1393	366	9	to	to	PART
ijassa-1393	366	10	adapt	adapt	VERB
ijassa-1393	366	11	the	the	DET
ijassa-1393	366	12	model	model	NOUN
ijassa-1393	366	13	better	well	ADV
ijassa-1393	366	14	,	,	PUNCT
ijassa-1393	366	15	while	while	SCONJ
ijassa-1393	366	16	vgg16	vgg16	NOUN
ijassa-1393	366	17	is	be	AUX
ijassa-1393	366	18	easy	easy	ADJ
ijassa-1393	366	19	to	to	PART
ijassa-1393	366	20	execute	execute	VERB
ijassa-1393	366	21	.	.	PUNCT
ijassa-1393	367	1	in	in	ADP
ijassa-1393	367	2	addition	addition	NOUN
ijassa-1393	367	3	,	,	PUNCT
ijassa-1393	367	4	pca	pca	PROPN
ijassa-1393	367	5	can	can	AUX
ijassa-1393	367	6	reduce	reduce	VERB
ijassa-1393	367	7	data	data	NOUN
ijassa-1393	367	8	noise	noise	NOUN
ijassa-1393	367	9	and	and	CCONJ
ijassa-1393	367	10	select	select	VERB
ijassa-1393	367	11	suitable	suitable	ADJ
ijassa-1393	367	12	features	feature	NOUN
ijassa-1393	367	13	for	for	ADP
ijassa-1393	367	14	affording	afford	VERB
ijassa-1393	367	15	uncorrelated	uncorrelated	ADJ
ijassa-1393	367	16	and	and	CCONJ
ijassa-1393	367	17	independent	independent	ADJ
ijassa-1393	367	18	data	datum	NOUN
ijassa-1393	367	19	features	feature	NOUN
ijassa-1393	367	20	.	.	PUNCT
ijassa-1393	368	1	lastly	lastly	ADV
ijassa-1393	368	2	,	,	PUNCT
ijassa-1393	368	3	the	the	DET
ijassa-1393	368	4	proposed	propose	VERB
ijassa-1393	368	5	classifier	classifier	NOUN
ijassa-1393	368	6	is	be	AUX
ijassa-1393	368	7	capable	capable	ADJ
ijassa-1393	368	8	of	of	ADP
ijassa-1393	368	9	minimizing	minimize	VERB
ijassa-1393	368	10	overfitting	overfitte	VERB
ijassa-1393	368	11	deep	deep	ADJ
ijassa-1393	368	12	feature	feature	NOUN
ijassa-1393	368	13	extraction	extraction	NOUN
ijassa-1393	368	14	and	and	CCONJ
ijassa-1393	368	15	weight	weight	NOUN
ijassa-1393	368	16	updated	update	VERB
ijassa-1393	368	17	tuned	tune	VERB
ijassa-1393	368	18	random	random	ADJ
ijassa-1393	368	19	forest	forest	NOUN
ijassa-1393	368	20	…	…	PUNCT
ijassa-1393	368	21	149	149	NUM
ijassa-1393	368	22	copyright	copyright	NOUN
ijassa-1393	368	23	©	©	PROPN
ijassa-1393	368	24	2023	2023	NUM
ijassa-1393	368	25	assa	assa	NOUN
ijassa-1393	368	26	.	.	PUNCT
ijassa-1393	369	1	adv	adv	PROPN
ijassa-1393	369	2	.	.	PUNCT
ijassa-1393	370	1	in	in	ADP
ijassa-1393	370	2	systems	system	NOUN
ijassa-1393	370	3	science	science	NOUN
ijassa-1393	370	4	and	and	CCONJ
ijassa-1393	370	5	appl	appl	NOUN
ijassa-1393	370	6	.	.	PUNCT
ijassa-1393	371	1	(	(	PUNCT
ijassa-1393	371	2	2023	2023	NUM
ijassa-1393	371	3	)	)	PUNCT
ijassa-1393	371	4	issues	issue	NOUN
ijassa-1393	371	5	.	.	PUNCT
ijassa-1393	372	1	such	such	ADJ
ijassa-1393	372	2	advantages	advantage	NOUN
ijassa-1393	372	3	have	have	AUX
ijassa-1393	372	4	made	make	VERB
ijassa-1393	372	5	the	the	DET
ijassa-1393	372	6	proposed	propose	VERB
ijassa-1393	372	7	system	system	NOUN
ijassa-1393	372	8	expose	expose	VERB
ijassa-1393	372	9	better	well	ADJ
ijassa-1393	372	10	performance	performance	NOUN
ijassa-1393	372	11	in	in	ADP
ijassa-1393	372	12	plant	plant	NOUN
ijassa-1393	372	13	species	specie	NOUN
ijassa-1393	372	14	prediction	prediction	NOUN
ijassa-1393	372	15	.	.	PUNCT
ijassa-1393	373	1	5	5	X
ijassa-1393	373	2	.	.	X
ijassa-1393	373	3	conclusion	conclusion	NOUN
ijassa-1393	373	4	the	the	DET
ijassa-1393	373	5	research	research	NOUN
ijassa-1393	373	6	intended	intend	VERB
ijassa-1393	373	7	to	to	PART
ijassa-1393	373	8	recognize	recognize	VERB
ijassa-1393	373	9	plant	plant	NOUN
ijassa-1393	373	10	species	specie	NOUN
ijassa-1393	373	11	,	,	PUNCT
ijassa-1393	373	12	including	include	VERB
ijassa-1393	373	13	a	a	DET
ijassa-1393	373	14	piper	piper	NOUN
ijassa-1393	373	15	and	and	CCONJ
ijassa-1393	373	16	all	all	DET
ijassa-1393	373	17	plant	plant	NOUN
ijassa-1393	373	18	kinds	kind	NOUN
ijassa-1393	373	19	,	,	PUNCT
ijassa-1393	373	20	by	by	ADP
ijassa-1393	373	21	considering	consider	VERB
ijassa-1393	373	22	suitable	suitable	ADJ
ijassa-1393	373	23	ml	ml	NOUN
ijassa-1393	373	24	and	and	CCONJ
ijassa-1393	373	25	dl	dl	NOUN
ijassa-1393	373	26	-	-	PUNCT
ijassa-1393	373	27	based	base	VERB
ijassa-1393	373	28	algorithms	algorithm	NOUN
ijassa-1393	373	29	.	.	PUNCT
ijassa-1393	374	1	to	to	PART
ijassa-1393	374	2	achieve	achieve	VERB
ijassa-1393	374	3	this	this	PRON
ijassa-1393	374	4	,	,	PUNCT
ijassa-1393	374	5	the	the	DET
ijassa-1393	374	6	study	study	NOUN
ijassa-1393	374	7	proposed	propose	VERB
ijassa-1393	374	8	deep	deep	ADJ
ijassa-1393	374	9	cnn	cnn	PROPN
ijassa-1393	374	10	and	and	CCONJ
ijassa-1393	374	11	inception	inception	PROPN
ijassa-1393	374	12	v3	v3	PROPN
ijassa-1393	374	13	for	for	ADP
ijassa-1393	374	14	extracting	extract	VERB
ijassa-1393	374	15	the	the	DET
ijassa-1393	374	16	features	feature	NOUN
ijassa-1393	374	17	to	to	PART
ijassa-1393	374	18	classify	classify	VERB
ijassa-1393	374	19	all	all	DET
ijassa-1393	374	20	plant	plant	NOUN
ijassa-1393	374	21	species	specie	NOUN
ijassa-1393	374	22	.	.	PUNCT
ijassa-1393	375	1	at	at	ADP
ijassa-1393	375	2	the	the	DET
ijassa-1393	375	3	same	same	ADJ
ijassa-1393	375	4	time	time	NOUN
ijassa-1393	375	5	,	,	PUNCT
ijassa-1393	375	6	deep	deep	ADJ
ijassa-1393	375	7	cnn	cnn	PROPN
ijassa-1393	375	8	and	and	CCONJ
ijassa-1393	375	9	vgg16	vgg16	PROPN
ijassa-1393	375	10	extract	extract	VERB
ijassa-1393	375	11	relevant	relevant	ADJ
ijassa-1393	375	12	features	feature	NOUN
ijassa-1393	375	13	to	to	PART
ijassa-1393	375	14	classify	classify	VERB
ijassa-1393	375	15	piper	piper	NOUN
ijassa-1393	375	16	plant	plant	NOUN
ijassa-1393	375	17	species	specie	NOUN
ijassa-1393	375	18	.	.	PUNCT
ijassa-1393	376	1	further	far	ADV
ijassa-1393	376	2	,	,	PUNCT
ijassa-1393	376	3	for	for	ADP
ijassa-1393	376	4	feature	feature	NOUN
ijassa-1393	376	5	fusion	fusion	NOUN
ijassa-1393	376	6	,	,	PUNCT
ijassa-1393	376	7	pca	pca	PROPN
ijassa-1393	376	8	was	be	AUX
ijassa-1393	376	9	utilized	utilize	VERB
ijassa-1393	376	10	.	.	PUNCT
ijassa-1393	377	1	at	at	ADP
ijassa-1393	377	2	the	the	DET
ijassa-1393	377	3	same	same	ADJ
ijassa-1393	377	4	time	time	NOUN
ijassa-1393	377	5	,	,	PUNCT
ijassa-1393	377	6	wut	wut	PROPN
ijassa-1393	377	7	-	-	PUNCT
ijassa-1393	377	8	rf	rf	PROPN
ijassa-1393	377	9	was	be	AUX
ijassa-1393	377	10	proposed	propose	VERB
ijassa-1393	377	11	for	for	ADP
ijassa-1393	377	12	classification	classification	NOUN
ijassa-1393	377	13	that	that	PRON
ijassa-1393	377	14	relied	rely	VERB
ijassa-1393	377	15	on	on	ADP
ijassa-1393	377	16	tuning	tune	VERB
ijassa-1393	377	17	the	the	DET
ijassa-1393	377	18	hyperparameters	hyperparameter	NOUN
ijassa-1393	377	19	of	of	ADP
ijassa-1393	377	20	rf	rf	NOUN
ijassa-1393	377	21	with	with	ADP
ijassa-1393	377	22	convolutional	convolutional	ADJ
ijassa-1393	377	23	likelihood	likelihood	NOUN
ijassa-1393	377	24	weight	weight	NOUN
ijassa-1393	377	25	for	for	ADP
ijassa-1393	377	26	obtaining	obtain	VERB
ijassa-1393	377	27	a	a	DET
ijassa-1393	377	28	high	high	ADJ
ijassa-1393	377	29	prediction	prediction	NOUN
ijassa-1393	377	30	rate	rate	NOUN
ijassa-1393	377	31	.	.	PUNCT
ijassa-1393	378	1	finally	finally	ADV
ijassa-1393	378	2	,	,	PUNCT
ijassa-1393	378	3	a	a	DET
ijassa-1393	378	4	test	test	NOUN
ijassa-1393	378	5	analysis	analysis	NOUN
ijassa-1393	378	6	assessed	assess	VERB
ijassa-1393	378	7	the	the	DET
ijassa-1393	378	8	performance	performance	NOUN
ijassa-1393	378	9	of	of	ADP
ijassa-1393	378	10	the	the	DET
ijassa-1393	378	11	proposed	propose	VERB
ijassa-1393	378	12	approach	approach	NOUN
ijassa-1393	378	13	.	.	PUNCT
ijassa-1393	379	1	the	the	DET
ijassa-1393	379	2	analysis	analysis	NOUN
ijassa-1393	379	3	exposed	expose	VERB
ijassa-1393	379	4	that	that	SCONJ
ijassa-1393	379	5	the	the	DET
ijassa-1393	379	6	proposed	propose	VERB
ijassa-1393	379	7	system	system	NOUN
ijassa-1393	379	8	revealed	reveal	VERB
ijassa-1393	379	9	a	a	DET
ijassa-1393	379	10	higher	high	ADJ
ijassa-1393	379	11	k	k	NOUN
ijassa-1393	379	12	-	-	NOUN
ijassa-1393	379	13	value	value	NOUN
ijassa-1393	379	14	of	of	ADP
ijassa-1393	379	15	0.96	0.96	NUM
ijassa-1393	379	16	for	for	ADP
ijassa-1393	379	17	the	the	DET
ijassa-1393	379	18	landis	landis	PROPN
ijassa-1393	379	19	and	and	CCONJ
ijassa-1393	379	20	koch	koch	PROPN
ijassa-1393	379	21	test	test	NOUN
ijassa-1393	379	22	than	than	ADP
ijassa-1393	379	23	other	other	ADJ
ijassa-1393	379	24	test	test	NOUN
ijassa-1393	379	25	analyses	analysis	NOUN
ijassa-1393	379	26	.	.	PUNCT
ijassa-1393	380	1	additionally	additionally	ADV
ijassa-1393	380	2	,	,	PUNCT
ijassa-1393	380	3	a	a	DET
ijassa-1393	380	4	confusion	confusion	NOUN
ijassa-1393	380	5	matrix	matrix	NOUN
ijassa-1393	380	6	was	be	AUX
ijassa-1393	380	7	attained	attain	VERB
ijassa-1393	380	8	.	.	PUNCT
ijassa-1393	381	1	the	the	DET
ijassa-1393	381	2	matrix	matrix	NOUN
ijassa-1393	381	3	found	find	VERB
ijassa-1393	381	4	that	that	SCONJ
ijassa-1393	381	5	the	the	DET
ijassa-1393	381	6	proposed	propose	VERB
ijassa-1393	381	7	system	system	NOUN
ijassa-1393	381	8	exposed	expose	VERB
ijassa-1393	381	9	high	high	ADJ
ijassa-1393	381	10	classification	classification	NOUN
ijassa-1393	381	11	rates	rate	NOUN
ijassa-1393	381	12	for	for	ADP
ijassa-1393	381	13	different	different	ADJ
ijassa-1393	381	14	classes	class	NOUN
ijassa-1393	381	15	compared	compare	VERB
ijassa-1393	381	16	to	to	ADP
ijassa-1393	381	17	misclassification	misclassification	NOUN
ijassa-1393	381	18	for	for	ADP
ijassa-1393	381	19	classifying	classify	VERB
ijassa-1393	381	20	piper	piper	NOUN
ijassa-1393	381	21	and	and	CCONJ
ijassa-1393	381	22	all	all	DET
ijassa-1393	381	23	plant	plant	NOUN
ijassa-1393	381	24	types	type	NOUN
ijassa-1393	381	25	.	.	PUNCT
ijassa-1393	382	1	as	as	SCONJ
ijassa-1393	382	2	this	this	DET
ijassa-1393	382	3	study	study	NOUN
ijassa-1393	382	4	regarded	regard	VERB
ijassa-1393	382	5	a	a	DET
ijassa-1393	382	6	real	real	ADJ
ijassa-1393	382	7	-	-	PUNCT
ijassa-1393	382	8	time	time	NOUN
ijassa-1393	382	9	dataset	dataset	NOUN
ijassa-1393	382	10	,	,	PUNCT
ijassa-1393	382	11	it	it	PRON
ijassa-1393	382	12	was	be	AUX
ijassa-1393	382	13	impossible	impossible	ADJ
ijassa-1393	382	14	to	to	PART
ijassa-1393	382	15	compare	compare	VERB
ijassa-1393	382	16	with	with	ADP
ijassa-1393	382	17	conventional	conventional	ADJ
ijassa-1393	382	18	studies	study	NOUN
ijassa-1393	382	19	.	.	PUNCT
ijassa-1393	383	1	however	however	ADV
ijassa-1393	383	2	,	,	PUNCT
ijassa-1393	383	3	the	the	DET
ijassa-1393	383	4	comparison	comparison	NOUN
ijassa-1393	383	5	was	be	AUX
ijassa-1393	383	6	internally	internally	ADV
ijassa-1393	383	7	undertaken	undertake	VERB
ijassa-1393	383	8	with	with	ADP
ijassa-1393	383	9	existing	exist	VERB
ijassa-1393	383	10	algorithms	algorithm	NOUN
ijassa-1393	383	11	like	like	ADP
ijassa-1393	383	12	xgboost	xgboost	ADV
ijassa-1393	383	13	,	,	PUNCT
ijassa-1393	383	14	svm	svm	ADJ
ijassa-1393	383	15	,	,	PUNCT
ijassa-1393	383	16	and	and	CCONJ
ijassa-1393	383	17	rf	rf	NOUN
ijassa-1393	383	18	.	.	PUNCT
ijassa-1393	384	1	the	the	DET
ijassa-1393	384	2	outcomes	outcome	NOUN
ijassa-1393	384	3	found	find	VERB
ijassa-1393	384	4	that	that	SCONJ
ijassa-1393	384	5	the	the	DET
ijassa-1393	384	6	proposed	propose	VERB
ijassa-1393	384	7	system	system	NOUN
ijassa-1393	384	8	showed	show	VERB
ijassa-1393	384	9	a	a	DET
ijassa-1393	384	10	high	high	ADJ
ijassa-1393	384	11	classification	classification	NOUN
ijassa-1393	384	12	rate	rate	NOUN
ijassa-1393	384	13	for	for	ADP
ijassa-1393	384	14	piper	piper	NOUN
ijassa-1393	384	15	plant	plant	NOUN
ijassa-1393	384	16	prediction	prediction	NOUN
ijassa-1393	384	17	at	at	ADP
ijassa-1393	384	18	a	a	DET
ijassa-1393	384	19	rate	rate	NOUN
ijassa-1393	384	20	of	of	ADP
ijassa-1393	384	21	0.99	0.99	NUM
ijassa-1393	384	22	,	,	PUNCT
ijassa-1393	384	23	while	while	SCONJ
ijassa-1393	384	24	it	it	PRON
ijassa-1393	384	25	showed	show	VERB
ijassa-1393	384	26	0.97	0.97	NUM
ijassa-1393	384	27	for	for	ADP
ijassa-1393	384	28	classifying	classify	VERB
ijassa-1393	384	29	all	all	DET
ijassa-1393	384	30	plant	plant	NOUN
ijassa-1393	384	31	kinds	kind	NOUN
ijassa-1393	384	32	.	.	PUNCT
ijassa-1393	385	1	though	though	SCONJ
ijassa-1393	385	2	better	well	ADJ
ijassa-1393	385	3	results	result	NOUN
ijassa-1393	385	4	were	be	AUX
ijassa-1393	385	5	attained	attain	VERB
ijassa-1393	385	6	,	,	PUNCT
ijassa-1393	385	7	there	there	PRON
ijassa-1393	385	8	is	be	VERB
ijassa-1393	385	9	a	a	DET
ijassa-1393	385	10	scope	scope	NOUN
ijassa-1393	385	11	for	for	ADP
ijassa-1393	385	12	future	future	ADJ
ijassa-1393	385	13	enhancement	enhancement	NOUN
ijassa-1393	385	14	.	.	PUNCT
ijassa-1393	386	1	in	in	ADP
ijassa-1393	386	2	the	the	DET
ijassa-1393	386	3	future	future	NOUN
ijassa-1393	386	4	,	,	PUNCT
ijassa-1393	386	5	the	the	DET
ijassa-1393	386	6	performance	performance	NOUN
ijassa-1393	386	7	of	of	ADP
ijassa-1393	386	8	the	the	DET
ijassa-1393	386	9	proposed	propose	VERB
ijassa-1393	386	10	models	model	NOUN
ijassa-1393	386	11	can	can	AUX
ijassa-1393	386	12	be	be	AUX
ijassa-1393	386	13	evaluated	evaluate	VERB
ijassa-1393	386	14	for	for	ADP
ijassa-1393	386	15	various	various	ADJ
ijassa-1393	386	16	agricultural	agricultural	ADJ
ijassa-1393	386	17	applications	application	NOUN
ijassa-1393	386	18	like	like	ADP
ijassa-1393	386	19	plant	plant	NOUN
ijassa-1393	386	20	disease	disease	NOUN
ijassa-1393	386	21	diagnosis	diagnosis	NOUN
ijassa-1393	386	22	.	.	PUNCT
ijassa-1393	387	1	another	another	DET
ijassa-1393	387	2	dimension	dimension	NOUN
ijassa-1393	387	3	involves	involve	VERB
ijassa-1393	387	4	undertaking	undertaking	NOUN
ijassa-1393	387	5	experimentations	experimentation	NOUN
ijassa-1393	387	6	when	when	SCONJ
ijassa-1393	387	7	numerous	numerous	ADJ
ijassa-1393	387	8	datasets	dataset	NOUN
ijassa-1393	387	9	become	become	VERB
ijassa-1393	387	10	publicly	publicly	ADV
ijassa-1393	387	11	accessible	accessible	ADJ
ijassa-1393	387	12	.	.	PUNCT
ijassa-1393	388	1	references	reference	NOUN
ijassa-1393	388	2	1	1	NUM
ijassa-1393	388	3	.	.	PUNCT
ijassa-1393	388	4	alajrami	alajrami	NOUN
ijassa-1393	388	5	,	,	PUNCT
ijassa-1393	388	6	m.	m.	NOUN
ijassa-1393	388	7	a.	a.	PROPN
ijassa-1393	388	8	,	,	PUNCT
ijassa-1393	388	9	&	&	CCONJ
ijassa-1393	388	10	abu	abu	PROPN
ijassa-1393	388	11	-	-	PUNCT
ijassa-1393	388	12	naser	naser	PROPN
ijassa-1393	388	13	,	,	PUNCT
ijassa-1393	388	14	s.	s.	PROPN
ijassa-1393	388	15	s.	s.	PROPN
ijassa-1393	388	16	(	(	PUNCT
ijassa-1393	388	17	2020	2020	NUM
ijassa-1393	388	18	)	)	PUNCT
ijassa-1393	388	19	.	.	PUNCT
ijassa-1393	389	1	type	type	NOUN
ijassa-1393	389	2	of	of	ADP
ijassa-1393	389	3	tomato	tomato	NOUN
ijassa-1393	389	4	classification	classification	NOUN
ijassa-1393	389	5	using	use	VERB
ijassa-1393	389	6	deep	deep	ADJ
ijassa-1393	389	7	learning	learning	NOUN
ijassa-1393	389	8	.	.	PUNCT
ijassa-1393	390	1	international	international	ADJ
ijassa-1393	390	2	journal	journal	PROPN
ijassa-1393	390	3	of	of	ADP
ijassa-1393	390	4	academic	academic	ADJ
ijassa-1393	390	5	pedagogical	pedagogical	ADJ
ijassa-1393	390	6	research	research	NOUN
ijassa-1393	390	7	(	(	PUNCT
ijassa-1393	390	8	ijapr	ijapr	PROPN
ijassa-1393	390	9	)	)	PUNCT
ijassa-1393	390	10	,	,	PUNCT
ijassa-1393	390	11	3(12	3(12	NUM
ijassa-1393	390	12	)	)	PUNCT
ijassa-1393	390	13	.	.	PUNCT
ijassa-1393	391	1	2	2	X
ijassa-1393	391	2	.	.	X
ijassa-1393	391	3	anubha	anubha	PROPN
ijassa-1393	391	4	pearline	pearline	PROPN
ijassa-1393	391	5	,	,	PUNCT
ijassa-1393	391	6	s.	s.	PROPN
ijassa-1393	391	7	,	,	PUNCT
ijassa-1393	391	8	sathiesh	sathiesh	PROPN
ijassa-1393	391	9	kumar	kumar	PROPN
ijassa-1393	391	10	,	,	PUNCT
ijassa-1393	391	11	v.	v.	PROPN
ijassa-1393	391	12	,	,	PUNCT
ijassa-1393	391	13	&	&	CCONJ
ijassa-1393	391	14	harini	harini	PROPN
ijassa-1393	391	15	,	,	PUNCT
ijassa-1393	391	16	s.	s.	PROPN
ijassa-1393	391	17	(	(	PUNCT
ijassa-1393	391	18	2019	2019	NUM
ijassa-1393	391	19	)	)	PUNCT
ijassa-1393	391	20	.	.	PUNCT
ijassa-1393	392	1	a	a	DET
ijassa-1393	392	2	study	study	NOUN
ijassa-1393	392	3	on	on	ADP
ijassa-1393	392	4	plant	plant	NOUN
ijassa-1393	392	5	recognition	recognition	NOUN
ijassa-1393	392	6	using	use	VERB
ijassa-1393	392	7	conventional	conventional	ADJ
ijassa-1393	392	8	image	image	NOUN
ijassa-1393	392	9	processing	processing	NOUN
ijassa-1393	392	10	and	and	CCONJ
ijassa-1393	392	11	deep	deep	ADJ
ijassa-1393	392	12	learning	learning	NOUN
ijassa-1393	392	13	approaches	approach	NOUN
ijassa-1393	392	14	.	.	PUNCT
ijassa-1393	393	1	journal	journal	NOUN
ijassa-1393	393	2	of	of	ADP
ijassa-1393	393	3	intelligent	intelligent	ADJ
ijassa-1393	393	4	&	&	CCONJ
ijassa-1393	393	5	fuzzy	fuzzy	ADJ
ijassa-1393	393	6	systems	system	NOUN
ijassa-1393	393	7	,	,	PUNCT
ijassa-1393	393	8	36(3	36(3	NOUN
ijassa-1393	393	9	)	)	PUNCT
ijassa-1393	393	10	,	,	PUNCT
ijassa-1393	393	11	1997	1997	NUM
ijassa-1393	393	12	-	-	SYM
ijassa-1393	393	13	2004	2004	NUM
ijassa-1393	393	14	.	.	PUNCT
ijassa-1393	394	1	3	3	X
ijassa-1393	394	2	.	.	X
ijassa-1393	394	3	chaki	chaki	PROPN
ijassa-1393	394	4	,	,	PUNCT
ijassa-1393	394	5	j.	j.	PROPN
ijassa-1393	394	6	,	,	PUNCT
ijassa-1393	394	7	parekh	parekh	PROPN
ijassa-1393	394	8	,	,	PUNCT
ijassa-1393	394	9	r.	r.	PROPN
ijassa-1393	394	10	,	,	PUNCT
ijassa-1393	394	11	&	&	CCONJ
ijassa-1393	394	12	bhattacharya	bhattacharya	PROPN
ijassa-1393	394	13	,	,	PUNCT
ijassa-1393	394	14	s.	s.	PROPN
ijassa-1393	394	15	(	(	PUNCT
ijassa-1393	394	16	2020	2020	NUM
ijassa-1393	394	17	)	)	PUNCT
ijassa-1393	394	18	.	.	PUNCT
ijassa-1393	395	1	plant	plant	NOUN
ijassa-1393	395	2	leaf	leaf	NOUN
ijassa-1393	395	3	classification	classification	NOUN
ijassa-1393	395	4	using	use	VERB
ijassa-1393	395	5	multiple	multiple	ADJ
ijassa-1393	395	6	descriptors	descriptor	NOUN
ijassa-1393	395	7	:	:	PUNCT
ijassa-1393	395	8	a	a	DET
ijassa-1393	395	9	hierarchical	hierarchical	ADJ
ijassa-1393	395	10	approach	approach	NOUN
ijassa-1393	395	11	.	.	PUNCT
ijassa-1393	396	1	journal	journal	NOUN
ijassa-1393	396	2	of	of	ADP
ijassa-1393	396	3	king	king	PROPN
ijassa-1393	396	4	saud	saud	PROPN
ijassa-1393	396	5	university	university	PROPN
ijassa-1393	396	6	-	-	PUNCT
ijassa-1393	396	7	computer	computer	NOUN
ijassa-1393	396	8	and	and	CCONJ
ijassa-1393	396	9	information	information	NOUN
ijassa-1393	396	10	sciences	science	NOUN
ijassa-1393	396	11	,	,	PUNCT
ijassa-1393	396	12	32(10	32(10	NUM
ijassa-1393	396	13	)	)	PUNCT
ijassa-1393	396	14	,	,	PUNCT
ijassa-1393	396	15	1158	1158	NUM
ijassa-1393	396	16	-	-	SYM
ijassa-1393	396	17	1172	1172	NUM
ijassa-1393	396	18	.	.	PUNCT
ijassa-1393	397	1	https://doi.org/10.1016/j.jksuci.2018.01.007	https://doi.org/10.1016/j.jksuci.2018.01.007	ADJ
ijassa-1393	397	2	4	4	NOUN
ijassa-1393	397	3	.	.	X
ijassa-1393	397	4	chaudhury	chaudhury	PROPN
ijassa-1393	397	5	,	,	PUNCT
ijassa-1393	397	6	a.	a.	PROPN
ijassa-1393	397	7	,	,	PUNCT
ijassa-1393	397	8	&	&	CCONJ
ijassa-1393	397	9	barron	barron	PROPN
ijassa-1393	397	10	,	,	PUNCT
ijassa-1393	397	11	j.	j.	PROPN
ijassa-1393	397	12	l.	l.	PROPN
ijassa-1393	397	13	(	(	PUNCT
ijassa-1393	397	14	2018	2018	NUM
ijassa-1393	397	15	)	)	PUNCT
ijassa-1393	397	16	.	.	PUNCT
ijassa-1393	398	1	plant	plant	NOUN
ijassa-1393	398	2	species	specie	NOUN
ijassa-1393	398	3	identification	identification	NOUN
ijassa-1393	398	4	from	from	ADP
ijassa-1393	398	5	occluded	occluded	ADJ
ijassa-1393	398	6	leaf	leaf	NOUN
ijassa-1393	398	7	images	image	NOUN
ijassa-1393	398	8	.	.	PUNCT
ijassa-1393	399	1	ieee	ieee	PROPN
ijassa-1393	399	2	/	/	SYM
ijassa-1393	399	3	acm	acm	PROPN
ijassa-1393	399	4	transactions	transaction	NOUN
ijassa-1393	399	5	on	on	ADP
ijassa-1393	399	6	computational	computational	ADJ
ijassa-1393	399	7	biology	biology	NOUN
ijassa-1393	399	8	and	and	CCONJ
ijassa-1393	399	9	bioinformatics	bioinformatics	NOUN
ijassa-1393	399	10	,	,	PUNCT
ijassa-1393	399	11	17(3	17(3	NUM
ijassa-1393	399	12	)	)	PUNCT
ijassa-1393	399	13	,	,	PUNCT
ijassa-1393	399	14	1042	1042	NUM
ijassa-1393	399	15	-	-	SYM
ijassa-1393	399	16	1055	1055	NUM
ijassa-1393	399	17	.	.	PUNCT
ijassa-1393	400	1	5	5	NUM
ijassa-1393	400	2	.	.	X
ijassa-1393	400	3	crisóstomo	crisóstomo	PROPN
ijassa-1393	400	4	de	de	PROPN
ijassa-1393	400	5	castro	castro	PROPN
ijassa-1393	400	6	filho	filho	PROPN
ijassa-1393	400	7	,	,	PUNCT
ijassa-1393	400	8	h.	h.	PROPN
ijassa-1393	400	9	,	,	PUNCT
ijassa-1393	400	10	abílio	abílio	PROPN
ijassa-1393	400	11	de	de	PROPN
ijassa-1393	400	12	carvalho	carvalho	PROPN
ijassa-1393	400	13	júnior	júnior	PROPN
ijassa-1393	400	14	,	,	PUNCT
ijassa-1393	400	15	o.	o.	PROPN
ijassa-1393	400	16	,	,	PUNCT
ijassa-1393	400	17	ferreira	ferreira	PROPN
ijassa-1393	400	18	de	de	PROPN
ijassa-1393	400	19	carvalho	carvalho	PROPN
ijassa-1393	400	20	,	,	PUNCT
ijassa-1393	400	21	o.	o.	PROPN
ijassa-1393	400	22	l.	l.	PROPN
ijassa-1393	400	23	,	,	PUNCT
ijassa-1393	400	24	pozzobon	pozzobon	PROPN
ijassa-1393	400	25	de	de	PROPN
ijassa-1393	400	26	bem	bem	PROPN
ijassa-1393	400	27	,	,	PUNCT
ijassa-1393	400	28	p.	p.	PROPN
ijassa-1393	400	29	,	,	PUNCT
ijassa-1393	400	30	et	et	PROPN
ijassa-1393	400	31	al	al	PROPN
ijassa-1393	400	32	.	.	PROPN
ijassa-1393	400	33	(	(	PUNCT
ijassa-1393	400	34	2020	2020	NUM
ijassa-1393	400	35	)	)	PUNCT
ijassa-1393	400	36	.	.	PUNCT
ijassa-1393	401	1	rice	rice	NOUN
ijassa-1393	401	2	crop	crop	NOUN
ijassa-1393	401	3	detection	detection	NOUN
ijassa-1393	401	4	using	use	VERB
ijassa-1393	401	5	lstm	lstm	NOUN
ijassa-1393	401	6	,	,	PUNCT
ijassa-1393	401	7	bi	bi	NOUN
ijassa-1393	401	8	-	-	ADJ
ijassa-1393	401	9	lstm	lstm	ADJ
ijassa-1393	401	10	,	,	PUNCT
ijassa-1393	401	11	and	and	CCONJ
ijassa-1393	401	12	machine	machine	NOUN
ijassa-1393	401	13	learning	learning	NOUN
ijassa-1393	401	14	models	model	NOUN
ijassa-1393	401	15	from	from	ADP
ijassa-1393	401	16	sentinel-1	sentinel-1	NUM
ijassa-1393	401	17	time	time	NOUN
ijassa-1393	401	18	series	series	NOUN
ijassa-1393	401	19	.	.	PUNCT
ijassa-1393	402	1	remote	remote	ADJ
ijassa-1393	402	2	sensing	sensing	NOUN
ijassa-1393	402	3	,	,	PUNCT
ijassa-1393	402	4	12(16	12(16	NUM
ijassa-1393	402	5	)	)	PUNCT
ijassa-1393	402	6	,	,	PUNCT
ijassa-1393	402	7	2655	2655	NUM
ijassa-1393	402	8	.	.	PUNCT
ijassa-1393	403	1	6	6	NUM
ijassa-1393	403	2	.	.	X
ijassa-1393	403	3	dönmez	dönmez	PROPN
ijassa-1393	403	4	,	,	PUNCT
ijassa-1393	403	5	e.	e.	PROPN
ijassa-1393	403	6	(	(	PUNCT
ijassa-1393	403	7	2022	2022	NUM
ijassa-1393	403	8	)	)	PUNCT
ijassa-1393	403	9	.	.	PUNCT
ijassa-1393	404	1	enhancing	enhance	VERB
ijassa-1393	404	2	classification	classification	NOUN
ijassa-1393	404	3	capacity	capacity	NOUN
ijassa-1393	404	4	of	of	ADP
ijassa-1393	404	5	cnn	cnn	PROPN
ijassa-1393	404	6	models	model	NOUN
ijassa-1393	404	7	with	with	ADP
ijassa-1393	404	8	deep	deep	ADJ
ijassa-1393	404	9	feature	feature	NOUN
ijassa-1393	404	10	selection	selection	NOUN
ijassa-1393	404	11	and	and	CCONJ
ijassa-1393	404	12	fusion	fusion	NOUN
ijassa-1393	404	13	:	:	PUNCT
ijassa-1393	404	14	a	a	DET
ijassa-1393	404	15	case	case	NOUN
ijassa-1393	404	16	study	study	NOUN
ijassa-1393	404	17	on	on	ADP
ijassa-1393	404	18	maize	maize	NOUN
ijassa-1393	404	19	seed	seed	NOUN
ijassa-1393	404	20	classification	classification	NOUN
ijassa-1393	404	21	.	.	PUNCT
ijassa-1393	405	1	data	data	PROPN
ijassa-1393	405	2	&	&	CCONJ
ijassa-1393	405	3	knowledge	knowledge	PROPN
ijassa-1393	405	4	engineering	engineering	PROPN
ijassa-1393	405	5	,	,	PUNCT
ijassa-1393	405	6	141	141	NUM
ijassa-1393	405	7	,	,	PUNCT
ijassa-1393	405	8	102075	102075	NUM
ijassa-1393	405	9	.	.	PUNCT
ijassa-1393	406	1	7	7	X
ijassa-1393	406	2	.	.	X
ijassa-1393	407	1	feng	feng	PROPN
ijassa-1393	407	2	,	,	PUNCT
ijassa-1393	407	3	s.	s.	PROPN
ijassa-1393	407	4	,	,	PUNCT
ijassa-1393	407	5	zhao	zhao	PROPN
ijassa-1393	407	6	,	,	PUNCT
ijassa-1393	407	7	j.	j.	PROPN
ijassa-1393	407	8	,	,	PUNCT
ijassa-1393	407	9	liu	liu	PROPN
ijassa-1393	407	10	,	,	PUNCT
ijassa-1393	407	11	t.	t.	PROPN
ijassa-1393	407	12	,	,	PUNCT
ijassa-1393	407	13	zhang	zhang	PROPN
ijassa-1393	407	14	,	,	PUNCT
ijassa-1393	407	15	h.	h.	PROPN
ijassa-1393	407	16	,	,	PUNCT
ijassa-1393	407	17	zhang	zhang	PROPN
ijassa-1393	407	18	,	,	PUNCT
ijassa-1393	407	19	z.	z.	PROPN
ijassa-1393	407	20	,	,	PUNCT
ijassa-1393	407	21	et	et	PROPN
ijassa-1393	407	22	al	al	PROPN
ijassa-1393	407	23	.	.	PROPN
ijassa-1393	407	24	(	(	PUNCT
ijassa-1393	407	25	2019	2019	NUM
ijassa-1393	407	26	)	)	PUNCT
ijassa-1393	407	27	.	.	PUNCT
ijassa-1393	408	1	crop	crop	NOUN
ijassa-1393	408	2	type	type	NOUN
ijassa-1393	408	3	identification	identification	NOUN
ijassa-1393	408	4	and	and	CCONJ
ijassa-1393	408	5	mapping	mapping	NOUN
ijassa-1393	408	6	using	use	VERB
ijassa-1393	408	7	machine	machine	NOUN
ijassa-1393	408	8	learning	learn	VERB
ijassa-1393	408	9	algorithms	algorithm	NOUN
ijassa-1393	408	10	and	and	CCONJ
ijassa-1393	408	11	sentinel-2	sentinel-2	NUM
ijassa-1393	408	12	time	time	NOUN
ijassa-1393	408	13	series	series	PROPN
ijassa-1393	408	14	data	data	PROPN
ijassa-1393	408	15	.	.	PUNCT
ijassa-1393	409	1	ieee	ieee	PROPN
ijassa-1393	409	2	journal	journal	PROPN
ijassa-1393	409	3	of	of	ADP
ijassa-1393	409	4	selected	select	VERB
ijassa-1393	409	5	topics	topic	NOUN
ijassa-1393	409	6	in	in	ADP
ijassa-1393	409	7	applied	apply	VERB
ijassa-1393	409	8	earth	earth	NOUN
ijassa-1393	409	9	observations	observation	NOUN
ijassa-1393	409	10	and	and	CCONJ
ijassa-1393	409	11	remote	remote	ADJ
ijassa-1393	409	12	sensing	sensing	NOUN
ijassa-1393	409	13	,	,	PUNCT
ijassa-1393	409	14	12(9	12(9	NUM
ijassa-1393	409	15	)	)	PUNCT
ijassa-1393	409	16	,	,	PUNCT
ijassa-1393	409	17	3295	3295	NUM
ijassa-1393	409	18	-	-	SYM
ijassa-1393	409	19	3306	3306	NUM
ijassa-1393	409	20	.	.	PUNCT
ijassa-1393	410	1	150	150	NUM
ijassa-1393	410	2	i.	i.	PROPN
ijassa-1393	410	3	petrov	petrov	PROPN
ijassa-1393	410	4	,	,	PUNCT
ijassa-1393	410	5	j.f	j.f	PROPN
ijassa-1393	410	6	.	.	PROPN
ijassa-1393	410	7	doe	doe	NOUN
ijassa-1393	410	8	copyright	copyright	NOUN
ijassa-1393	410	9	©	©	PROPN
ijassa-1393	410	10	2023	2023	NUM
ijassa-1393	410	11	assa	assa	PROPN
ijassa-1393	410	12	adv	adv	PROPN
ijassa-1393	410	13	.	.	PUNCT
ijassa-1393	411	1	in	in	ADP
ijassa-1393	411	2	systems	system	NOUN
ijassa-1393	411	3	science	science	NOUN
ijassa-1393	411	4	and	and	CCONJ
ijassa-1393	411	5	appl	appl	NOUN
ijassa-1393	411	6	.	.	PUNCT
ijassa-1393	412	1	(	(	PUNCT
ijassa-1393	412	2	2023	2023	NUM
ijassa-1393	412	3	)	)	PUNCT
ijassa-1393	412	4	8	8	NUM
ijassa-1393	412	5	.	.	PUNCT
ijassa-1393	413	1	ganesan	ganesan	PROPN
ijassa-1393	413	2	,	,	PUNCT
ijassa-1393	413	3	s.	s.	PROPN
ijassa-1393	413	4	(	(	PUNCT
ijassa-1393	413	5	2021	2021	NUM
ijassa-1393	413	6	)	)	PUNCT
ijassa-1393	413	7	.	.	PUNCT
ijassa-1393	414	1	automated	automate	VERB
ijassa-1393	414	2	plant	plant	NOUN
ijassa-1393	414	3	disease	disease	NOUN
ijassa-1393	414	4	identification	identification	NOUN
ijassa-1393	414	5	and	and	CCONJ
ijassa-1393	414	6	detection	detection	NOUN
ijassa-1393	414	7	with	with	ADP
ijassa-1393	414	8	multifeatures	multifeature	NOUN
ijassa-1393	414	9	.	.	PUNCT
ijassa-1393	415	1	proc	proc	PROPN
ijassa-1393	415	2	.	.	PUNCT
ijassa-1393	416	1	of	of	ADP
ijassa-1393	416	2	sustainable	sustainable	ADJ
ijassa-1393	416	3	communication	communication	NOUN
ijassa-1393	416	4	networks	network	NOUN
ijassa-1393	416	5	and	and	CCONJ
ijassa-1393	416	6	application	application	NOUN
ijassa-1393	416	7	,	,	PUNCT
ijassa-1393	416	8	erode	erode	NOUN
ijassa-1393	416	9	,	,	PUNCT
ijassa-1393	416	10	india	india	PROPN
ijassa-1393	416	11	,	,	PUNCT
ijassa-1393	416	12	331–338	331–338	NUM
ijassa-1393	416	13	.	.	PUNCT
ijassa-1393	416	14	9	9	NUM
ijassa-1393	416	15	.	.	X
ijassa-1393	416	16	goyal	goyal	PROPN
ijassa-1393	416	17	,	,	PUNCT
ijassa-1393	416	18	n.	n.	NOUN
ijassa-1393	416	19	,	,	PUNCT
ijassa-1393	416	20	&	&	CCONJ
ijassa-1393	416	21	kumar	kumar	PROPN
ijassa-1393	416	22	,	,	PUNCT
ijassa-1393	416	23	n.	n.	PROPN
ijassa-1393	416	24	(	(	PUNCT
ijassa-1393	416	25	2021	2021	NUM
ijassa-1393	416	26	)	)	PUNCT
ijassa-1393	416	27	.	.	PUNCT
ijassa-1393	417	1	on	on	ADP
ijassa-1393	417	2	solving	solve	VERB
ijassa-1393	417	3	leaf	leaf	NOUN
ijassa-1393	417	4	classification	classification	NOUN
ijassa-1393	417	5	using	use	VERB
ijassa-1393	417	6	linear	linear	PROPN
ijassa-1393	417	7	regression	regression	NOUN
ijassa-1393	417	8	.	.	PUNCT
ijassa-1393	418	1	multimedia	multimedia	NOUN
ijassa-1393	418	2	tools	tool	NOUN
ijassa-1393	418	3	and	and	CCONJ
ijassa-1393	418	4	applications	application	NOUN
ijassa-1393	418	5	,	,	PUNCT
ijassa-1393	418	6	80(3	80(3	NUM
ijassa-1393	418	7	)	)	PUNCT
ijassa-1393	418	8	,	,	PUNCT
ijassa-1393	418	9	4533–4551	4533–4551	NUM
ijassa-1393	418	10	.	.	PUNCT
ijassa-1393	418	11	10	10	NUM
ijassa-1393	418	12	.	.	PUNCT
ijassa-1393	419	1	hao	hao	PROPN
ijassa-1393	419	2	,	,	PUNCT
ijassa-1393	419	3	z.	z.	PROPN
ijassa-1393	419	4	,	,	PUNCT
ijassa-1393	419	5	lin	lin	PROPN
ijassa-1393	419	6	,	,	PUNCT
ijassa-1393	419	7	l.	l.	PROPN
ijassa-1393	419	8	,	,	PUNCT
ijassa-1393	419	9	post	post	PROPN
ijassa-1393	419	10	,	,	PUNCT
ijassa-1393	419	11	c.	c.	PROPN
ijassa-1393	419	12	j.	j.	PROPN
ijassa-1393	419	13	,	,	PUNCT
ijassa-1393	419	14	mikhailova	mikhailova	PROPN
ijassa-1393	419	15	,	,	PUNCT
ijassa-1393	419	16	e.	e.	PROPN
ijassa-1393	419	17	a.	a.	PROPN
ijassa-1393	419	18	,	,	PUNCT
ijassa-1393	419	19	li	li	PROPN
ijassa-1393	419	20	,	,	PUNCT
ijassa-1393	419	21	m.	m.	NOUN
ijassa-1393	419	22	,	,	PUNCT
ijassa-1393	419	23	et	et	PROPN
ijassa-1393	419	24	al	al	PROPN
ijassa-1393	419	25	.	.	PROPN
ijassa-1393	419	26	(	(	PUNCT
ijassa-1393	419	27	2021	2021	NUM
ijassa-1393	419	28	)	)	PUNCT
ijassa-1393	419	29	.	.	PUNCT
ijassa-1393	420	1	automated	automate	VERB
ijassa-1393	420	2	treecrown	treecrown	NOUN
ijassa-1393	420	3	and	and	CCONJ
ijassa-1393	420	4	height	height	NOUN
ijassa-1393	420	5	detection	detection	NOUN
ijassa-1393	420	6	in	in	ADP
ijassa-1393	420	7	a	a	DET
ijassa-1393	420	8	young	young	ADJ
ijassa-1393	420	9	forest	forest	NOUN
ijassa-1393	420	10	plantation	plantation	NOUN
ijassa-1393	420	11	using	use	VERB
ijassa-1393	420	12	mask	mask	NOUN
ijassa-1393	420	13	region	region	NOUN
ijassa-1393	420	14	-	-	PUNCT
ijassa-1393	420	15	based	base	VERB
ijassa-1393	420	16	convolutional	convolutional	ADJ
ijassa-1393	420	17	neural	neural	ADJ
ijassa-1393	420	18	network	network	NOUN
ijassa-1393	420	19	(	(	PUNCT
ijassa-1393	420	20	mask	mask	NOUN
ijassa-1393	420	21	r	r	NOUN
ijassa-1393	420	22	-	-	PUNCT
ijassa-1393	420	23	cnn	cnn	PROPN
ijassa-1393	420	24	)	)	PUNCT
ijassa-1393	420	25	.	.	PUNCT
ijassa-1393	421	1	isprs	isprs	PROPN
ijassa-1393	421	2	journal	journal	PROPN
ijassa-1393	421	3	of	of	ADP
ijassa-1393	421	4	photogrammetry	photogrammetry	NOUN
ijassa-1393	421	5	and	and	CCONJ
ijassa-1393	421	6	remote	remote	ADJ
ijassa-1393	421	7	sensing	sensing	NOUN
ijassa-1393	421	8	,	,	PUNCT
ijassa-1393	421	9	178	178	NUM
ijassa-1393	421	10	,	,	PUNCT
ijassa-1393	421	11	112–123	112–123	NUM
ijassa-1393	421	12	.	.	PUNCT
ijassa-1393	422	1	11	11	NUM
ijassa-1393	422	2	.	.	X
ijassa-1393	423	1	hu	hu	PROPN
ijassa-1393	423	2	,	,	PUNCT
ijassa-1393	423	3	j.	j.	PROPN
ijassa-1393	423	4	,	,	PUNCT
ijassa-1393	423	5	chen	chen	PROPN
ijassa-1393	423	6	,	,	PUNCT
ijassa-1393	423	7	z.	z.	PROPN
ijassa-1393	423	8	,	,	PUNCT
ijassa-1393	423	9	yang	yang	PROPN
ijassa-1393	423	10	,	,	PUNCT
ijassa-1393	423	11	m.	m.	NOUN
ijassa-1393	423	12	,	,	PUNCT
ijassa-1393	423	13	zhang	zhang	PROPN
ijassa-1393	423	14	,	,	PUNCT
ijassa-1393	423	15	r.	r.	PROPN
ijassa-1393	423	16	,	,	PUNCT
ijassa-1393	423	17	&	&	CCONJ
ijassa-1393	423	18	cui	cui	PROPN
ijassa-1393	423	19	,	,	PUNCT
ijassa-1393	423	20	y.	y.	PROPN
ijassa-1393	423	21	(	(	PUNCT
ijassa-1393	423	22	2018	2018	NUM
ijassa-1393	423	23	)	)	PUNCT
ijassa-1393	423	24	.	.	PUNCT
ijassa-1393	424	1	a	a	DET
ijassa-1393	424	2	multiscale	multiscale	ADJ
ijassa-1393	424	3	fusion	fusion	NOUN
ijassa-1393	424	4	convolutional	convolutional	ADJ
ijassa-1393	424	5	neural	neural	ADJ
ijassa-1393	424	6	network	network	NOUN
ijassa-1393	424	7	for	for	ADP
ijassa-1393	424	8	plant	plant	NOUN
ijassa-1393	424	9	leaf	leaf	NOUN
ijassa-1393	424	10	recognition	recognition	NOUN
ijassa-1393	424	11	.	.	PUNCT
ijassa-1393	425	1	ieee	ieee	NOUN
ijassa-1393	425	2	signal	signal	NOUN
ijassa-1393	425	3	processing	processing	NOUN
ijassa-1393	425	4	letters	letter	NOUN
ijassa-1393	425	5	,	,	PUNCT
ijassa-1393	425	6	25(6	25(6	NOUN
ijassa-1393	425	7	)	)	PUNCT
ijassa-1393	425	8	,	,	PUNCT
ijassa-1393	425	9	853–857	853–857	NUM
ijassa-1393	425	10	.	.	PUNCT
ijassa-1393	426	1	12	12	NUM
ijassa-1393	426	2	.	.	PUNCT
ijassa-1393	426	3	kala	kala	PROPN
ijassa-1393	426	4	,	,	PUNCT
ijassa-1393	426	5	j.	j.	PROPN
ijassa-1393	426	6	r.	r.	PROPN
ijassa-1393	426	7	,	,	PUNCT
ijassa-1393	426	8	&	&	CCONJ
ijassa-1393	426	9	viriri	viriri	PROPN
ijassa-1393	426	10	,	,	PUNCT
ijassa-1393	426	11	s.	s.	PROPN
ijassa-1393	426	12	(	(	PUNCT
ijassa-1393	426	13	2018	2018	NUM
ijassa-1393	426	14	)	)	PUNCT
ijassa-1393	426	15	.	.	PUNCT
ijassa-1393	427	1	plant	plant	NOUN
ijassa-1393	427	2	specie	specie	NOUN
ijassa-1393	427	3	classification	classification	NOUN
ijassa-1393	427	4	using	use	VERB
ijassa-1393	427	5	sinuosity	sinuosity	NOUN
ijassa-1393	427	6	coefficients	coefficient	NOUN
ijassa-1393	427	7	of	of	ADP
ijassa-1393	427	8	leaves	leave	NOUN
ijassa-1393	427	9	.	.	PUNCT
ijassa-1393	428	1	image	image	NOUN
ijassa-1393	428	2	analysis	analysis	NOUN
ijassa-1393	428	3	&	&	CCONJ
ijassa-1393	428	4	stereology	stereology	NOUN
ijassa-1393	428	5	,	,	PUNCT
ijassa-1393	428	6	37(2	37(2	PROPN
ijassa-1393	428	7	)	)	PUNCT
ijassa-1393	428	8	,	,	PUNCT
ijassa-1393	428	9	119–126	119–126	NUM
ijassa-1393	428	10	.	.	PUNCT
ijassa-1393	429	1	13	13	NUM
ijassa-1393	429	2	.	.	PUNCT
ijassa-1393	430	1	kaur	kaur	PROPN
ijassa-1393	430	2	,	,	PUNCT
ijassa-1393	430	3	s.	s.	PROPN
ijassa-1393	430	4	,	,	PUNCT
ijassa-1393	430	5	&	&	CCONJ
ijassa-1393	430	6	kaur	kaur	PROPN
ijassa-1393	430	7	,	,	PUNCT
ijassa-1393	430	8	p.	p.	NOUN
ijassa-1393	430	9	(	(	PUNCT
ijassa-1393	430	10	2019	2019	NUM
ijassa-1393	430	11	)	)	PUNCT
ijassa-1393	430	12	.	.	PUNCT
ijassa-1393	431	1	plant	plant	NOUN
ijassa-1393	431	2	species	specie	NOUN
ijassa-1393	431	3	identification	identification	NOUN
ijassa-1393	431	4	based	base	VERB
ijassa-1393	431	5	on	on	ADP
ijassa-1393	431	6	plant	plant	NOUN
ijassa-1393	431	7	leaf	leaf	NOUN
ijassa-1393	431	8	using	use	VERB
ijassa-1393	431	9	computer	computer	NOUN
ijassa-1393	431	10	vision	vision	NOUN
ijassa-1393	431	11	and	and	CCONJ
ijassa-1393	431	12	machine	machine	NOUN
ijassa-1393	431	13	learning	learn	VERB
ijassa-1393	431	14	techniques	technique	NOUN
ijassa-1393	431	15	.	.	PUNCT
ijassa-1393	432	1	journal	journal	PROPN
ijassa-1393	432	2	of	of	ADP
ijassa-1393	432	3	multimedia	multimedia	NOUN
ijassa-1393	432	4	information	information	NOUN
ijassa-1393	432	5	system	system	NOUN
ijassa-1393	432	6	,	,	PUNCT
ijassa-1393	432	7	6(2	6(2	NUM
ijassa-1393	432	8	)	)	PUNCT
ijassa-1393	432	9	,	,	PUNCT
ijassa-1393	432	10	49–60	49–60	NOUN
ijassa-1393	432	11	.	.	NOUN
ijassa-1393	432	12	14	14	NUM
ijassa-1393	432	13	.	.	PUNCT
ijassa-1393	433	1	kumar	kumar	PROPN
ijassa-1393	433	2	,	,	PUNCT
ijassa-1393	433	3	m.	m.	NOUN
ijassa-1393	433	4	,	,	PUNCT
ijassa-1393	433	5	gupta	gupta	PROPN
ijassa-1393	433	6	,	,	PUNCT
ijassa-1393	433	7	s.	s.	PROPN
ijassa-1393	433	8	,	,	PUNCT
ijassa-1393	433	9	gao	gao	PROPN
ijassa-1393	433	10	,	,	PUNCT
ijassa-1393	433	11	x.-z	x.-z	PROPN
ijassa-1393	433	12	.	.	PUNCT
ijassa-1393	433	13	,	,	PUNCT
ijassa-1393	433	14	&	&	CCONJ
ijassa-1393	433	15	singh	singh	PROPN
ijassa-1393	433	16	,	,	PUNCT
ijassa-1393	433	17	a.	a.	NOUN
ijassa-1393	433	18	(	(	PUNCT
ijassa-1393	433	19	2019	2019	NUM
ijassa-1393	433	20	)	)	PUNCT
ijassa-1393	433	21	.	.	PUNCT
ijassa-1393	434	1	plant	plant	NOUN
ijassa-1393	434	2	species	species	NOUN
ijassa-1393	434	3	recognition	recognition	NOUN
ijassa-1393	434	4	using	use	VERB
ijassa-1393	434	5	morphological	morphological	ADJ
ijassa-1393	434	6	features	feature	NOUN
ijassa-1393	434	7	and	and	CCONJ
ijassa-1393	434	8	adaptive	adaptive	ADJ
ijassa-1393	434	9	boosting	boost	VERB
ijassa-1393	434	10	methodology	methodology	NOUN
ijassa-1393	434	11	.	.	PUNCT
ijassa-1393	435	1	ieee	ieee	NOUN
ijassa-1393	435	2	access	access	NOUN
ijassa-1393	435	3	,	,	PUNCT
ijassa-1393	435	4	7	7	NUM
ijassa-1393	435	5	,	,	PUNCT
ijassa-1393	435	6	163912	163912	NUM
ijassa-1393	435	7	–	–	PUNCT
ijassa-1393	435	8	163918	163918	NUM
ijassa-1393	435	9	.	.	PUNCT
ijassa-1393	436	1	15	15	NUM
ijassa-1393	436	2	.	.	X
ijassa-1393	437	1	kumar	kumar	PROPN
ijassa-1393	437	2	,	,	PUNCT
ijassa-1393	437	3	n.	n.	PROPN
ijassa-1393	437	4	s.	s.	PROPN
ijassa-1393	437	5	,	,	PUNCT
ijassa-1393	437	6	yashwanth	yashwanth	NOUN
ijassa-1393	437	7	,	,	PUNCT
ijassa-1393	437	8	n.	n.	NOUN
ijassa-1393	437	9	,	,	PUNCT
ijassa-1393	437	10	srinivasulu	srinivasulu	ADV
ijassa-1393	437	11	,	,	PUNCT
ijassa-1393	437	12	d.	d.	PROPN
ijassa-1393	437	13	,	,	PUNCT
ijassa-1393	437	14	&	&	CCONJ
ijassa-1393	437	15	rini	rini	PROPN
ijassa-1393	437	16	,	,	PUNCT
ijassa-1393	437	17	r.	r.	PROPN
ijassa-1393	437	18	c.	c.	PROPN
ijassa-1393	437	19	(	(	PUNCT
ijassa-1393	437	20	2022	2022	NUM
ijassa-1393	437	21	)	)	PUNCT
ijassa-1393	437	22	.	.	PUNCT
ijassa-1393	438	1	plant	plant	NOUN
ijassa-1393	438	2	leaf	leaf	NOUN
ijassa-1393	438	3	disease	disease	NOUN
ijassa-1393	438	4	diagnosis	diagnosis	NOUN
ijassa-1393	438	5	using	use	VERB
ijassa-1393	438	6	artificial	artificial	ADJ
ijassa-1393	438	7	intelligence	intelligence	NOUN
ijassa-1393	438	8	.	.	PUNCT
ijassa-1393	439	1	international	international	ADJ
ijassa-1393	439	2	research	research	PROPN
ijassa-1393	439	3	journal	journal	PROPN
ijassa-1393	439	4	of	of	ADP
ijassa-1393	439	5	modernization	modernization	NOUN
ijassa-1393	439	6	in	in	ADP
ijassa-1393	439	7	engineering	engineering	NOUN
ijassa-1393	439	8	technology	technology	NOUN
ijassa-1393	439	9	and	and	CCONJ
ijassa-1393	439	10	science	science	NOUN
ijassa-1393	439	11	,	,	PUNCT
ijassa-1393	439	12	4(5	4(5	PROPN
ijassa-1393	439	13	)	)	PUNCT
ijassa-1393	439	14	,	,	PUNCT
ijassa-1393	439	15	2660–2663	2660–2663	NUM
ijassa-1393	439	16	.	.	PUNCT
ijassa-1393	440	1	16	16	NUM
ijassa-1393	440	2	.	.	PUNCT
ijassa-1393	441	1	liu	liu	PROPN
ijassa-1393	441	2	,	,	PUNCT
ijassa-1393	441	3	k.-h	k.-h	PROPN
ijassa-1393	441	4	.	.	PROPN
ijassa-1393	441	5	,	,	PUNCT
ijassa-1393	441	6	yang	yang	PROPN
ijassa-1393	441	7	,	,	PUNCT
ijassa-1393	441	8	m.-h	m.-h	PROPN
ijassa-1393	441	9	.	.	PROPN
ijassa-1393	441	10	,	,	PUNCT
ijassa-1393	441	11	huang	huang	PROPN
ijassa-1393	441	12	,	,	PUNCT
ijassa-1393	441	13	s.-t	s.-t	NOUN
ijassa-1393	441	14	.	.	PUNCT
ijassa-1393	441	15	,	,	PUNCT
ijassa-1393	441	16	&	&	CCONJ
ijassa-1393	441	17	lin	lin	PROPN
ijassa-1393	441	18	,	,	PUNCT
ijassa-1393	441	19	c.	c.	PROPN
ijassa-1393	441	20	(	(	PUNCT
ijassa-1393	441	21	2022	2022	NUM
ijassa-1393	441	22	)	)	PUNCT
ijassa-1393	441	23	.	.	PUNCT
ijassa-1393	442	1	plant	plant	NOUN
ijassa-1393	442	2	species	species	NOUN
ijassa-1393	442	3	classification	classification	NOUN
ijassa-1393	442	4	based	base	VERB
ijassa-1393	442	5	on	on	ADP
ijassa-1393	442	6	hyperspectral	hyperspectral	ADJ
ijassa-1393	442	7	imaging	imaging	NOUN
ijassa-1393	442	8	via	via	ADP
ijassa-1393	442	9	a	a	DET
ijassa-1393	442	10	lightweight	lightweight	ADJ
ijassa-1393	442	11	convolutional	convolutional	ADJ
ijassa-1393	442	12	neural	neural	ADJ
ijassa-1393	442	13	network	network	NOUN
ijassa-1393	442	14	model	model	NOUN
ijassa-1393	442	15	.	.	PUNCT
ijassa-1393	443	1	frontiers	frontier	NOUN
ijassa-1393	443	2	in	in	ADP
ijassa-1393	443	3	plant	plant	NOUN
ijassa-1393	443	4	science	science	NOUN
ijassa-1393	443	5	,	,	PUNCT
ijassa-1393	443	6	13	13	NUM
ijassa-1393	443	7	,	,	PUNCT
ijassa-1393	443	8	1–17	1–17	PROPN
ijassa-1393	443	9	.	.	PUNCT
ijassa-1393	444	1	17	17	NUM
ijassa-1393	444	2	.	.	PUNCT
ijassa-1393	445	1	oppong	oppong	PROPN
ijassa-1393	445	2	,	,	PUNCT
ijassa-1393	445	3	s.	s.	PROPN
ijassa-1393	445	4	o.	o.	PROPN
ijassa-1393	445	5	,	,	PUNCT
ijassa-1393	445	6	twum	twum	NOUN
ijassa-1393	445	7	,	,	PUNCT
ijassa-1393	445	8	f.	f.	PROPN
ijassa-1393	445	9	,	,	PUNCT
ijassa-1393	445	10	hayfron	hayfron	NOUN
ijassa-1393	445	11	-	-	PUNCT
ijassa-1393	445	12	acquah	acquah	PROPN
ijassa-1393	445	13	,	,	PUNCT
ijassa-1393	445	14	j.	j.	PROPN
ijassa-1393	445	15	b.	b.	PROPN
ijassa-1393	445	16	,	,	PUNCT
ijassa-1393	445	17	&	&	CCONJ
ijassa-1393	445	18	missah	missah	PROPN
ijassa-1393	445	19	,	,	PUNCT
ijassa-1393	445	20	y.	y.	PROPN
ijassa-1393	445	21	m.	m.	NOUN
ijassa-1393	445	22	(	(	PUNCT
ijassa-1393	445	23	2022	2022	NUM
ijassa-1393	445	24	)	)	PUNCT
ijassa-1393	445	25	.	.	PUNCT
ijassa-1393	446	1	a	a	DET
ijassa-1393	446	2	novel	novel	ADJ
ijassa-1393	446	3	computer	computer	NOUN
ijassa-1393	446	4	vision	vision	NOUN
ijassa-1393	446	5	model	model	NOUN
ijassa-1393	446	6	for	for	ADP
ijassa-1393	446	7	medicinal	medicinal	ADJ
ijassa-1393	446	8	plant	plant	NOUN
ijassa-1393	446	9	identification	identification	NOUN
ijassa-1393	446	10	using	use	VERB
ijassa-1393	446	11	log	log	NOUN
ijassa-1393	446	12	-	-	PUNCT
ijassa-1393	446	13	gabor	gabor	NOUN
ijassa-1393	446	14	filters	filter	NOUN
ijassa-1393	446	15	and	and	CCONJ
ijassa-1393	446	16	deep	deep	ADJ
ijassa-1393	446	17	learning	learning	NOUN
ijassa-1393	446	18	algorithms	algorithm	NOUN
ijassa-1393	446	19	.	.	PUNCT
ijassa-1393	447	1	computational	computational	ADJ
ijassa-1393	447	2	intelligence	intelligence	NOUN
ijassa-1393	447	3	and	and	CCONJ
ijassa-1393	447	4	neuroscience	neuroscience	NOUN
ijassa-1393	447	5	,	,	PUNCT
ijassa-1393	447	6	2022	2022	NUM
ijassa-1393	447	7	,	,	PUNCT
ijassa-1393	447	8	1–21	1–21	PROPN
ijassa-1393	447	9	.	.	PUNCT
ijassa-1393	448	1	18	18	NUM
ijassa-1393	448	2	.	.	PUNCT
ijassa-1393	449	1	paulson	paulson	PROPN
ijassa-1393	449	2	,	,	PUNCT
ijassa-1393	449	3	a.	a.	PROPN
ijassa-1393	449	4	,	,	PUNCT
ijassa-1393	449	5	&	&	CCONJ
ijassa-1393	449	6	ravishankar	ravishankar	PROPN
ijassa-1393	449	7	,	,	PUNCT
ijassa-1393	449	8	s.	s.	PROPN
ijassa-1393	449	9	(	(	PUNCT
ijassa-1393	449	10	2020	2020	NUM
ijassa-1393	449	11	)	)	PUNCT
ijassa-1393	449	12	.	.	PUNCT
ijassa-1393	450	1	ai	ai	AUX
ijassa-1393	450	2	based	base	VERB
ijassa-1393	450	3	indigenous	indigenous	ADJ
ijassa-1393	450	4	medicinal	medicinal	ADJ
ijassa-1393	450	5	plant	plant	NOUN
ijassa-1393	450	6	identification	identification	NOUN
ijassa-1393	450	7	.	.	PUNCT
ijassa-1393	451	1	proc	proc	NOUN
ijassa-1393	451	2	.	.	PUNCT
ijassa-1393	452	1	of	of	ADP
ijassa-1393	452	2	2020	2020	NUM
ijassa-1393	452	3	advanced	advanced	ADJ
ijassa-1393	452	4	computing	computing	NOUN
ijassa-1393	452	5	and	and	CCONJ
ijassa-1393	452	6	communication	communication	NOUN
ijassa-1393	452	7	technologies	technology	NOUN
ijassa-1393	452	8	for	for	ADP
ijassa-1393	452	9	high	high	ADJ
ijassa-1393	452	10	performance	performance	NOUN
ijassa-1393	452	11	applications	application	NOUN
ijassa-1393	452	12	(	(	PUNCT
ijassa-1393	452	13	accthpa	accthpa	NOUN
ijassa-1393	452	14	)	)	PUNCT
ijassa-1393	452	15	,	,	PUNCT
ijassa-1393	452	16	cochin	cochin	PROPN
ijassa-1393	452	17	,	,	PUNCT
ijassa-1393	452	18	india	india	PROPN
ijassa-1393	452	19	(	(	PUNCT
ijassa-1393	452	20	57	57	NUM
ijassa-1393	452	21	-	-	SYM
ijassa-1393	452	22	63	63	NUM
ijassa-1393	452	23	)	)	PUNCT
ijassa-1393	452	24	.	.	PUNCT
ijassa-1393	453	1	19	19	NUM
ijassa-1393	453	2	.	.	X
ijassa-1393	453	3	pravin	pravin	PROPN
ijassa-1393	453	4	,	,	PUNCT
ijassa-1393	453	5	a.	a.	PROPN
ijassa-1393	453	6	,	,	PUNCT
ijassa-1393	453	7	&	&	CCONJ
ijassa-1393	453	8	deepa	deepa	PROPN
ijassa-1393	453	9	,	,	PUNCT
ijassa-1393	453	10	c.	c.	NOUN
ijassa-1393	453	11	(	(	PUNCT
ijassa-1393	453	12	2021	2021	NUM
ijassa-1393	453	13	)	)	PUNCT
ijassa-1393	453	14	.	.	PUNCT
ijassa-1393	454	1	a	a	DET
ijassa-1393	454	2	identification	identification	NOUN
ijassa-1393	454	3	of	of	ADP
ijassa-1393	454	4	piper	piper	NOUN
ijassa-1393	454	5	plant	plant	NOUN
ijassa-1393	454	6	species	specie	NOUN
ijassa-1393	454	7	based	base	VERB
ijassa-1393	454	8	on	on	ADP
ijassa-1393	454	9	deep	deep	ADJ
ijassa-1393	454	10	learning	learning	NOUN
ijassa-1393	454	11	networks	network	NOUN
ijassa-1393	454	12	.	.	PUNCT
ijassa-1393	455	1	turkish	turkish	ADJ
ijassa-1393	455	2	journal	journal	NOUN
ijassa-1393	455	3	of	of	ADP
ijassa-1393	455	4	computer	computer	NOUN
ijassa-1393	455	5	and	and	CCONJ
ijassa-1393	455	6	mathematics	mathematics	PROPN
ijassa-1393	455	7	education	education	NOUN
ijassa-1393	455	8	(	(	PUNCT
ijassa-1393	455	9	turcomat	turcomat	NOUN
ijassa-1393	455	10	)	)	PUNCT
ijassa-1393	455	11	,	,	PUNCT
ijassa-1393	455	12	12(10	12(10	NUM
ijassa-1393	455	13	)	)	PUNCT
ijassa-1393	455	14	,	,	PUNCT
ijassa-1393	455	15	6740–6749	6740–6749	NOUN
ijassa-1393	455	16	.	.	PUNCT
ijassa-1393	456	1	20	20	NUM
ijassa-1393	456	2	.	.	X
ijassa-1393	457	1	pravin	pravin	PROPN
ijassa-1393	457	2	,	,	PUNCT
ijassa-1393	457	3	a.	a.	PROPN
ijassa-1393	457	4	,	,	PUNCT
ijassa-1393	457	5	&	&	CCONJ
ijassa-1393	457	6	deepa	deepa	PROPN
ijassa-1393	457	7	,	,	PUNCT
ijassa-1393	457	8	c.	c.	NOUN
ijassa-1393	457	9	(	(	PUNCT
ijassa-1393	457	10	2022	2022	NUM
ijassa-1393	457	11	)	)	PUNCT
ijassa-1393	457	12	.	.	PUNCT
ijassa-1393	458	1	piper	piper	NOUN
ijassa-1393	458	2	plant	plant	NOUN
ijassa-1393	458	3	classification	classification	NOUN
ijassa-1393	458	4	using	use	VERB
ijassa-1393	458	5	deep	deep	ADJ
ijassa-1393	458	6	cnn	cnn	PROPN
ijassa-1393	458	7	feature	feature	NOUN
ijassa-1393	458	8	extraction	extraction	NOUN
ijassa-1393	458	9	and	and	CCONJ
ijassa-1393	458	10	hyperparameter	hyperparameter	NOUN
ijassa-1393	458	11	tuned	tune	VERB
ijassa-1393	458	12	random	random	ADJ
ijassa-1393	458	13	forest	forest	NOUN
ijassa-1393	458	14	classification	classification	NOUN
ijassa-1393	458	15	.	.	PUNCT
ijassa-1393	459	1	transdisciplinary	transdisciplinary	ADJ
ijassa-1393	459	2	journal	journal	NOUN
ijassa-1393	459	3	of	of	ADP
ijassa-1393	459	4	engineering	engineering	PROPN
ijassa-1393	459	5	&	&	CCONJ
ijassa-1393	459	6	science	science	PROPN
ijassa-1393	459	7	,	,	PUNCT
ijassa-1393	459	8	13	13	NUM
ijassa-1393	459	9	,	,	PUNCT
ijassa-1393	459	10	1–1	1–1	NUM
ijassa-1393	459	11	.	.	NOUN
ijassa-1393	459	12	21	21	NUM
ijassa-1393	459	13	.	.	PUNCT
ijassa-1393	460	1	rahmatulloh	rahmatulloh	PROPN
ijassa-1393	460	2	,	,	PUNCT
ijassa-1393	460	3	a.	a.	NOUN
ijassa-1393	460	4	,	,	PUNCT
ijassa-1393	460	5	&	&	CCONJ
ijassa-1393	460	6	suhendy	suhendy	PROPN
ijassa-1393	460	7	,	,	PUNCT
ijassa-1393	460	8	h.	h.	PROPN
ijassa-1393	460	9	(	(	PUNCT
ijassa-1393	460	10	2022	2022	NUM
ijassa-1393	460	11	)	)	PUNCT
ijassa-1393	460	12	.	.	PUNCT
ijassa-1393	461	1	mikrobatx	mikrobatx	NOUN
ijassa-1393	461	2	:	:	PUNCT
ijassa-1393	461	3	deep	deep	ADJ
ijassa-1393	461	4	learning	learn	VERB
ijassa-1393	461	5	approach	approach	NOUN
ijassa-1393	461	6	for	for	ADP
ijassa-1393	461	7	microscopic	microscopic	ADJ
ijassa-1393	461	8	identification	identification	NOUN
ijassa-1393	461	9	and	and	CCONJ
ijassa-1393	461	10	classification	classification	NOUN
ijassa-1393	461	11	of	of	ADP
ijassa-1393	461	12	medicinal	medicinal	ADJ
ijassa-1393	461	13	leaf	leaf	NOUN
ijassa-1393	461	14	simplicia	simplicia	NOUN
ijassa-1393	461	15	fragments	fragment	NOUN
ijassa-1393	461	16	using	use	VERB
ijassa-1393	461	17	sift	sift	ADJ
ijassa-1393	461	18	feature	feature	NOUN
ijassa-1393	461	19	extraction	extraction	NOUN
ijassa-1393	461	20	.	.	PUNCT
ijassa-1393	462	1	ssrn	ssrn	PROPN
ijassa-1393	462	2	electronic	electronic	ADJ
ijassa-1393	462	3	journal	journal	NOUN
ijassa-1393	462	4	.	.	PUNCT
ijassa-1393	463	1	22	22	NUM
ijassa-1393	463	2	.	.	PUNCT
ijassa-1393	464	1	rajesh	rajesh	PROPN
ijassa-1393	464	2	,	,	PUNCT
ijassa-1393	464	3	k.	k.	PROPN
ijassa-1393	464	4	,	,	PUNCT
ijassa-1393	464	5	&	&	CCONJ
ijassa-1393	464	6	bhaskari	bhaskari	PROPN
ijassa-1393	464	7	,	,	PUNCT
ijassa-1393	464	8	d.	d.	PROPN
ijassa-1393	464	9	l.	l.	PROPN
ijassa-1393	464	10	(	(	PUNCT
ijassa-1393	464	11	2021	2021	NUM
ijassa-1393	464	12	)	)	PUNCT
ijassa-1393	464	13	.	.	PUNCT
ijassa-1393	465	1	optimum	optimum	ADJ
ijassa-1393	465	2	dataset	dataset	VERB
ijassa-1393	465	3	size	size	NOUN
ijassa-1393	465	4	for	for	ADP
ijassa-1393	465	5	ayurvedic	ayurvedic	ADJ
ijassa-1393	465	6	plant	plant	NOUN
ijassa-1393	465	7	leaf	leaf	NOUN
ijassa-1393	465	8	recognition	recognition	NOUN
ijassa-1393	465	9	using	use	VERB
ijassa-1393	465	10	convolution	convolution	NOUN
ijassa-1393	465	11	neural	neural	ADJ
ijassa-1393	465	12	networks	network	NOUN
ijassa-1393	465	13	.	.	PUNCT
ijassa-1393	466	1	proc	proc	PROPN
ijassa-1393	466	2	.	.	PUNCT
ijassa-1393	467	1	of	of	ADP
ijassa-1393	467	2	data	data	NOUN
ijassa-1393	467	3	management	management	NOUN
ijassa-1393	467	4	,	,	PUNCT
ijassa-1393	467	5	analytics	analytic	NOUN
ijassa-1393	467	6	and	and	CCONJ
ijassa-1393	467	7	innovation	innovation	NOUN
ijassa-1393	467	8	,	,	PUNCT
ijassa-1393	467	9	kolkata	kolkata	PROPN
ijassa-1393	467	10	,	,	PUNCT
ijassa-1393	467	11	india	india	PROPN
ijassa-1393	467	12	,	,	PUNCT
ijassa-1393	467	13	249–261	249–261	NUM
ijassa-1393	467	14	.	.	NOUN
ijassa-1393	467	15	23	23	NUM
ijassa-1393	467	16	.	.	X
ijassa-1393	467	17	roopashree	roopashree	PROPN
ijassa-1393	467	18	,	,	PUNCT
ijassa-1393	467	19	s.	s.	PROPN
ijassa-1393	467	20	,	,	PUNCT
ijassa-1393	467	21	&	&	CCONJ
ijassa-1393	467	22	anitha	anitha	PROPN
ijassa-1393	467	23	,	,	PUNCT
ijassa-1393	467	24	j.	j.	PROPN
ijassa-1393	467	25	(	(	PUNCT
ijassa-1393	467	26	2021	2021	NUM
ijassa-1393	467	27	)	)	PUNCT
ijassa-1393	467	28	.	.	PUNCT
ijassa-1393	468	1	deepherb	deepherb	NOUN
ijassa-1393	468	2	:	:	PUNCT
ijassa-1393	468	3	a	a	DET
ijassa-1393	468	4	vision	vision	NOUN
ijassa-1393	468	5	based	base	VERB
ijassa-1393	468	6	system	system	NOUN
ijassa-1393	468	7	for	for	ADP
ijassa-1393	468	8	medicinal	medicinal	ADJ
ijassa-1393	468	9	plants	plant	NOUN
ijassa-1393	468	10	using	use	VERB
ijassa-1393	468	11	xception	xception	PROPN
ijassa-1393	468	12	features	feature	NOUN
ijassa-1393	468	13	.	.	PUNCT
ijassa-1393	469	1	ieee	ieee	NOUN
ijassa-1393	469	2	access	access	NOUN
ijassa-1393	469	3	,	,	PUNCT
ijassa-1393	469	4	9	9	NUM
ijassa-1393	469	5	,	,	PUNCT
ijassa-1393	469	6	135927–135941	135927–135941	NUM
ijassa-1393	469	7	.	.	PUNCT
ijassa-1393	470	1	deep	deep	ADJ
ijassa-1393	470	2	feature	feature	NOUN
ijassa-1393	470	3	extraction	extraction	NOUN
ijassa-1393	470	4	and	and	CCONJ
ijassa-1393	470	5	weight	weight	NOUN
ijassa-1393	470	6	updated	update	VERB
ijassa-1393	470	7	tuned	tune	VERB
ijassa-1393	470	8	random	random	ADJ
ijassa-1393	470	9	forest	forest	NOUN
ijassa-1393	470	10	…	…	PUNCT
ijassa-1393	470	11	151	151	NUM
ijassa-1393	470	12	copyright	copyright	NOUN
ijassa-1393	470	13	©	©	PROPN
ijassa-1393	470	14	2023	2023	NUM
ijassa-1393	470	15	assa	assa	NOUN
ijassa-1393	470	16	.	.	PUNCT
ijassa-1393	471	1	adv	adv	PROPN
ijassa-1393	471	2	.	.	PUNCT
ijassa-1393	472	1	in	in	ADP
ijassa-1393	472	2	systems	system	NOUN
ijassa-1393	472	3	science	science	NOUN
ijassa-1393	472	4	and	and	CCONJ
ijassa-1393	472	5	appl	appl	NOUN
ijassa-1393	472	6	.	.	PUNCT
ijassa-1393	473	1	(	(	PUNCT
ijassa-1393	473	2	2023	2023	NUM
ijassa-1393	473	3	)	)	PUNCT
ijassa-1393	473	4	24	24	NUM
ijassa-1393	473	5	.	.	PUNCT
ijassa-1393	474	1	saeed	saeed	PROPN
ijassa-1393	474	2	,	,	PUNCT
ijassa-1393	474	3	f.	f.	PROPN
ijassa-1393	474	4	,	,	PUNCT
ijassa-1393	474	5	khan	khan	PROPN
ijassa-1393	474	6	,	,	PUNCT
ijassa-1393	474	7	m.	m.	NOUN
ijassa-1393	474	8	a.	a.	PROPN
ijassa-1393	474	9	,	,	PUNCT
ijassa-1393	474	10	sharif	sharif	PROPN
ijassa-1393	474	11	,	,	PUNCT
ijassa-1393	474	12	m.	m.	NOUN
ijassa-1393	474	13	,	,	PUNCT
ijassa-1393	474	14	mittal	mittal	PROPN
ijassa-1393	474	15	,	,	PUNCT
ijassa-1393	474	16	m.	m.	NOUN
ijassa-1393	474	17	,	,	PUNCT
ijassa-1393	474	18	goyal	goyal	PROPN
ijassa-1393	474	19	,	,	PUNCT
ijassa-1393	474	20	l.	l.	PROPN
ijassa-1393	474	21	m.	m.	PROPN
ijassa-1393	474	22	,	,	PUNCT
ijassa-1393	474	23	&	&	CCONJ
ijassa-1393	474	24	roy	roy	PROPN
ijassa-1393	474	25	,	,	PUNCT
ijassa-1393	474	26	s.	s.	PROPN
ijassa-1393	474	27	(	(	PUNCT
ijassa-1393	474	28	2021	2021	NUM
ijassa-1393	474	29	)	)	PUNCT
ijassa-1393	474	30	.	.	PUNCT
ijassa-1393	475	1	deep	deep	ADJ
ijassa-1393	475	2	neural	neural	ADJ
ijassa-1393	475	3	network	network	NOUN
ijassa-1393	475	4	features	feature	VERB
ijassa-1393	475	5	fusion	fusion	NOUN
ijassa-1393	475	6	and	and	CCONJ
ijassa-1393	475	7	selection	selection	NOUN
ijassa-1393	475	8	based	base	VERB
ijassa-1393	475	9	on	on	ADP
ijassa-1393	475	10	pls	pls	INTJ
ijassa-1393	475	11	regression	regression	VERB
ijassa-1393	475	12	with	with	ADP
ijassa-1393	475	13	an	an	DET
ijassa-1393	475	14	application	application	NOUN
ijassa-1393	475	15	for	for	ADP
ijassa-1393	475	16	crops	crop	NOUN
ijassa-1393	475	17	diseases	disease	VERB
ijassa-1393	475	18	classification	classification	NOUN
ijassa-1393	475	19	.	.	PUNCT
ijassa-1393	476	1	applied	apply	VERB
ijassa-1393	476	2	soft	soft	ADJ
ijassa-1393	476	3	computing	computing	NOUN
ijassa-1393	476	4	,	,	PUNCT
ijassa-1393	476	5	103	103	NUM
ijassa-1393	476	6	,	,	PUNCT
ijassa-1393	476	7	107164	107164	NUM
ijassa-1393	476	8	.	.	PUNCT
ijassa-1393	477	1	25	25	NUM
ijassa-1393	477	2	.	.	PUNCT
ijassa-1393	477	3	sunil	sunil	PROPN
ijassa-1393	477	4	,	,	PUNCT
ijassa-1393	477	5	g.	g.	PROPN
ijassa-1393	477	6	,	,	PUNCT
ijassa-1393	477	7	zhang	zhang	PROPN
ijassa-1393	477	8	,	,	PUNCT
ijassa-1393	477	9	y.	y.	PROPN
ijassa-1393	477	10	,	,	PUNCT
ijassa-1393	477	11	koparan	koparan	PROPN
ijassa-1393	477	12	,	,	PUNCT
ijassa-1393	477	13	c.	c.	PROPN
ijassa-1393	477	14	,	,	PUNCT
ijassa-1393	477	15	ahmed	ahmed	PROPN
ijassa-1393	477	16	,	,	PUNCT
ijassa-1393	477	17	m.	m.	PROPN
ijassa-1393	477	18	r.	r.	PROPN
ijassa-1393	477	19	,	,	PUNCT
ijassa-1393	477	20	howatt	howatt	NOUN
ijassa-1393	477	21	,	,	PUNCT
ijassa-1393	477	22	k.	k.	PROPN
ijassa-1393	477	23	,	,	PUNCT
ijassa-1393	477	24	et	et	PROPN
ijassa-1393	477	25	al	al	PROPN
ijassa-1393	477	26	.	.	PROPN
ijassa-1393	477	27	(	(	PUNCT
ijassa-1393	477	28	2022	2022	NUM
ijassa-1393	477	29	)	)	PUNCT
ijassa-1393	477	30	.	.	PUNCT
ijassa-1393	478	1	weed	weed	NOUN
ijassa-1393	478	2	and	and	CCONJ
ijassa-1393	478	3	crop	crop	NOUN
ijassa-1393	478	4	species	specie	NOUN
ijassa-1393	478	5	classification	classification	NOUN
ijassa-1393	478	6	using	use	VERB
ijassa-1393	478	7	computer	computer	NOUN
ijassa-1393	478	8	vision	vision	NOUN
ijassa-1393	478	9	and	and	CCONJ
ijassa-1393	478	10	deep	deep	ADJ
ijassa-1393	478	11	learning	learning	NOUN
ijassa-1393	478	12	technologies	technology	NOUN
ijassa-1393	478	13	in	in	ADP
ijassa-1393	478	14	greenhouse	greenhouse	NOUN
ijassa-1393	478	15	conditions	condition	NOUN
ijassa-1393	478	16	.	.	PUNCT
ijassa-1393	479	1	journal	journal	NOUN
ijassa-1393	479	2	of	of	ADP
ijassa-1393	479	3	agriculture	agriculture	NOUN
ijassa-1393	479	4	and	and	CCONJ
ijassa-1393	479	5	food	food	NOUN
ijassa-1393	479	6	research	research	NOUN
ijassa-1393	479	7	,	,	PUNCT
ijassa-1393	479	8	9	9	NUM
ijassa-1393	479	9	,	,	PUNCT
ijassa-1393	479	10	100325	100325	NUM
ijassa-1393	479	11	.	.	PUNCT
ijassa-1393	480	1	26	26	NUM
ijassa-1393	480	2	.	.	PUNCT
ijassa-1393	480	3	wagle	wagle	PROPN
ijassa-1393	480	4	,	,	PUNCT
ijassa-1393	480	5	s.	s.	PROPN
ijassa-1393	480	6	a.	a.	PROPN
ijassa-1393	480	7	(	(	PUNCT
ijassa-1393	480	8	2021	2021	NUM
ijassa-1393	480	9	)	)	PUNCT
ijassa-1393	480	10	.	.	PUNCT
ijassa-1393	481	1	comparison	comparison	NOUN
ijassa-1393	481	2	of	of	ADP
ijassa-1393	481	3	plant	plant	NOUN
ijassa-1393	481	4	leaf	leaf	NOUN
ijassa-1393	481	5	classification	classification	NOUN
ijassa-1393	481	6	using	use	VERB
ijassa-1393	481	7	modified	modify	VERB
ijassa-1393	481	8	alexnet	alexnet	NOUN
ijassa-1393	481	9	and	and	CCONJ
ijassa-1393	481	10	support	support	VERB
ijassa-1393	481	11	vector	vector	NOUN
ijassa-1393	481	12	machine	machine	NOUN
ijassa-1393	481	13	.	.	PUNCT
ijassa-1393	482	1	traitement	traitement	NOUN
ijassa-1393	482	2	du	du	PROPN
ijassa-1393	482	3	signal	signal	NOUN
ijassa-1393	482	4	,	,	PUNCT
ijassa-1393	482	5	38(1	38(1	NUM
ijassa-1393	482	6	)	)	PUNCT
ijassa-1393	482	7	.	.	PUNCT
ijassa-1393	483	1	27	27	NUM
ijassa-1393	483	2	.	.	PUNCT
ijassa-1393	484	1	wäldchen	wäldchen	ADV
ijassa-1393	484	2	,	,	PUNCT
ijassa-1393	484	3	j.	j.	PROPN
ijassa-1393	484	4	,	,	PUNCT
ijassa-1393	484	5	&	&	CCONJ
ijassa-1393	484	6	mäder	mäder	PROPN
ijassa-1393	484	7	,	,	PUNCT
ijassa-1393	484	8	p.	p.	NOUN
ijassa-1393	484	9	(	(	PUNCT
ijassa-1393	484	10	2018	2018	NUM
ijassa-1393	484	11	)	)	PUNCT
ijassa-1393	484	12	.	.	PUNCT
ijassa-1393	485	1	machine	machine	NOUN
ijassa-1393	485	2	learning	learn	VERB
ijassa-1393	485	3	for	for	ADP
ijassa-1393	485	4	image	image	NOUN
ijassa-1393	485	5	based	base	VERB
ijassa-1393	485	6	species	specie	NOUN
ijassa-1393	485	7	identification	identification	NOUN
ijassa-1393	485	8	.	.	PUNCT
ijassa-1393	486	1	methods	method	NOUN
ijassa-1393	486	2	in	in	ADP
ijassa-1393	486	3	ecology	ecology	NOUN
ijassa-1393	486	4	and	and	CCONJ
ijassa-1393	486	5	evolution	evolution	NOUN
ijassa-1393	486	6	,	,	PUNCT
ijassa-1393	486	7	9(11	9(11	NUM
ijassa-1393	486	8	)	)	PUNCT
ijassa-1393	486	9	,	,	PUNCT
ijassa-1393	486	10	2216–2225	2216–2225	NUM
ijassa-1393	486	11	.	.	PUNCT
ijassa-1393	487	1	28	28	NUM
ijassa-1393	487	2	.	.	PUNCT
ijassa-1393	488	1	wang	wang	PROPN
ijassa-1393	488	2	,	,	PUNCT
ijassa-1393	488	3	b.	b.	PROPN
ijassa-1393	488	4	,	,	PUNCT
ijassa-1393	488	5	&	&	CCONJ
ijassa-1393	488	6	wang	wang	PROPN
ijassa-1393	488	7	,	,	PUNCT
ijassa-1393	488	8	d.	d.	PROPN
ijassa-1393	488	9	(	(	PUNCT
ijassa-1393	488	10	2019	2019	NUM
ijassa-1393	488	11	)	)	PUNCT
ijassa-1393	488	12	.	.	PUNCT
ijassa-1393	489	1	plant	plant	NOUN
ijassa-1393	489	2	leaves	leave	VERB
ijassa-1393	489	3	classification	classification	NOUN
ijassa-1393	489	4	:	:	PUNCT
ijassa-1393	489	5	a	a	DET
ijassa-1393	489	6	few	few	ADJ
ijassa-1393	489	7	-	-	PUNCT
ijassa-1393	489	8	shot	shot	NOUN
ijassa-1393	489	9	learning	learning	NOUN
ijassa-1393	489	10	method	method	NOUN
ijassa-1393	489	11	based	base	VERB
ijassa-1393	489	12	on	on	ADP
ijassa-1393	489	13	siamese	siamese	ADJ
ijassa-1393	489	14	network	network	NOUN
ijassa-1393	489	15	.	.	PUNCT
ijassa-1393	490	1	ieee	ieee	NOUN
ijassa-1393	490	2	access	access	NOUN
ijassa-1393	490	3	,	,	PUNCT
ijassa-1393	490	4	7	7	NUM
ijassa-1393	490	5	,	,	PUNCT
ijassa-1393	490	6	151754–151763	151754–151763	NUM
ijassa-1393	490	7	.	.	PUNCT
ijassa-1393	491	1	29	29	NUM
ijassa-1393	491	2	.	.	PUNCT
ijassa-1393	492	1	wei	wei	PROPN
ijassa-1393	492	2	tan	tan	PROPN
ijassa-1393	492	3	,	,	PUNCT
ijassa-1393	492	4	j.	j.	PROPN
ijassa-1393	492	5	,	,	PUNCT
ijassa-1393	492	6	chang	chang	PROPN
ijassa-1393	492	7	,	,	PUNCT
ijassa-1393	492	8	s.-w	s.-w	PROPN
ijassa-1393	492	9	.	.	PUNCT
ijassa-1393	492	10	,	,	PUNCT
ijassa-1393	492	11	abdul	abdul	PROPN
ijassa-1393	492	12	-	-	PUNCT
ijassa-1393	492	13	kareem	kareem	PROPN
ijassa-1393	492	14	,	,	PUNCT
ijassa-1393	492	15	s.	s.	PROPN
ijassa-1393	492	16	,	,	PUNCT
ijassa-1393	492	17	yap	yap	PROPN
ijassa-1393	492	18	,	,	PUNCT
ijassa-1393	492	19	h.	h.	PROPN
ijassa-1393	492	20	j.	j.	PROPN
ijassa-1393	492	21	,	,	PUNCT
ijassa-1393	492	22	&	&	CCONJ
ijassa-1393	492	23	yong	yong	PROPN
ijassa-1393	492	24	,	,	PUNCT
ijassa-1393	492	25	k.-t	k.-t	PROPN
ijassa-1393	492	26	.	.	PUNCT
ijassa-1393	493	1	(	(	PUNCT
ijassa-1393	493	2	2018	2018	NUM
ijassa-1393	493	3	)	)	PUNCT
ijassa-1393	493	4	.	.	PUNCT
ijassa-1393	494	1	deep	deep	ADJ
ijassa-1393	494	2	learning	learning	NOUN
ijassa-1393	494	3	for	for	ADP
ijassa-1393	494	4	plant	plant	NOUN
ijassa-1393	494	5	species	species	NOUN
ijassa-1393	494	6	classification	classification	NOUN
ijassa-1393	494	7	using	use	VERB
ijassa-1393	494	8	leaf	leaf	NOUN
ijassa-1393	494	9	vein	vein	ADJ
ijassa-1393	494	10	morphometric	morphometric	NOUN
ijassa-1393	494	11	.	.	PUNCT
ijassa-1393	495	1	ieee	ieee	PROPN
ijassa-1393	495	2	/	/	SYM
ijassa-1393	495	3	acm	acm	PROPN
ijassa-1393	495	4	transactions	transaction	NOUN
ijassa-1393	495	5	on	on	ADP
ijassa-1393	495	6	computational	computational	ADJ
ijassa-1393	495	7	biology	biology	NOUN
ijassa-1393	495	8	and	and	CCONJ
ijassa-1393	495	9	bioinformatics	bioinformatics	NOUN
ijassa-1393	495	10	,	,	PUNCT
ijassa-1393	495	11	17(1	17(1	NUM
ijassa-1393	495	12	)	)	PUNCT
ijassa-1393	495	13	,	,	PUNCT
ijassa-1393	495	14	82–90	82–90	NUM
ijassa-1393	495	15	.	.	PUNCT
ijassa-1393	496	1	30	30	NUM
ijassa-1393	496	2	.	.	X
ijassa-1393	497	1	yang	yang	PROPN
ijassa-1393	497	2	,	,	PUNCT
ijassa-1393	497	3	k.	k.	PROPN
ijassa-1393	497	4	,	,	PUNCT
ijassa-1393	497	5	zhong	zhong	PROPN
ijassa-1393	497	6	,	,	PUNCT
ijassa-1393	497	7	w.	w.	PROPN
ijassa-1393	497	8	,	,	PUNCT
ijassa-1393	497	9	&	&	CCONJ
ijassa-1393	497	10	li	li	PROPN
ijassa-1393	497	11	,	,	PUNCT
ijassa-1393	497	12	f.	f.	PROPN
ijassa-1393	497	13	(	(	PUNCT
ijassa-1393	497	14	2020	2020	NUM
ijassa-1393	497	15	)	)	PUNCT
ijassa-1393	497	16	.	.	PUNCT
ijassa-1393	498	1	leaf	leaf	NOUN
ijassa-1393	498	2	segmentation	segmentation	NOUN
ijassa-1393	498	3	and	and	CCONJ
ijassa-1393	498	4	classification	classification	NOUN
ijassa-1393	498	5	with	with	ADP
ijassa-1393	498	6	a	a	DET
ijassa-1393	498	7	complicated	complicated	ADJ
ijassa-1393	498	8	background	background	NOUN
ijassa-1393	498	9	using	use	VERB
ijassa-1393	498	10	deep	deep	ADJ
ijassa-1393	498	11	learning	learning	NOUN
ijassa-1393	498	12	.	.	PUNCT
ijassa-1393	499	1	agronomy	agronomy	NOUN
ijassa-1393	499	2	,	,	PUNCT
ijassa-1393	499	3	10(11	10(11	NUM
ijassa-1393	499	4	)	)	PUNCT
ijassa-1393	499	5	,	,	PUNCT
ijassa-1393	499	6	1721	1721	NUM
ijassa-1393	499	7	.	.	PUNCT
ijassa-1393	500	1	31	31	NUM
ijassa-1393	500	2	.	.	X
ijassa-1393	501	1	zhang	zhang	PROPN
ijassa-1393	501	2	,	,	PUNCT
ijassa-1393	501	3	y.	y.	PROPN
ijassa-1393	501	4	,	,	PUNCT
ijassa-1393	501	5	yu	yu	PROPN
ijassa-1393	501	6	,	,	PUNCT
ijassa-1393	501	7	j.	j.	PROPN
ijassa-1393	501	8	,	,	PUNCT
ijassa-1393	501	9	chen	chen	PROPN
ijassa-1393	501	10	,	,	PUNCT
ijassa-1393	501	11	y.	y.	PROPN
ijassa-1393	501	12	,	,	PUNCT
ijassa-1393	501	13	yang	yang	PROPN
ijassa-1393	501	14	,	,	PUNCT
ijassa-1393	501	15	w.	w.	PROPN
ijassa-1393	501	16	,	,	PUNCT
ijassa-1393	501	17	zhang	zhang	PROPN
ijassa-1393	501	18	,	,	PUNCT
ijassa-1393	501	19	w.	w.	PROPN
ijassa-1393	501	20	,	,	PUNCT
ijassa-1393	501	21	&	&	CCONJ
ijassa-1393	501	22	he	he	PRON
ijassa-1393	501	23	,	,	PUNCT
ijassa-1393	501	24	y.	y.	PROPN
ijassa-1393	501	25	(	(	PUNCT
ijassa-1393	501	26	2022	2022	NUM
ijassa-1393	501	27	)	)	PUNCT
ijassa-1393	501	28	.	.	PUNCT
ijassa-1393	502	1	real	real	ADJ
ijassa-1393	502	2	-	-	PUNCT
ijassa-1393	502	3	time	time	NOUN
ijassa-1393	502	4	strawberry	strawberry	NOUN
ijassa-1393	502	5	detection	detection	NOUN
ijassa-1393	502	6	using	use	VERB
ijassa-1393	502	7	deep	deep	ADJ
ijassa-1393	502	8	neural	neural	ADJ
ijassa-1393	502	9	networks	network	NOUN
ijassa-1393	502	10	on	on	ADP
ijassa-1393	502	11	embedded	embed	VERB
ijassa-1393	502	12	system	system	NOUN
ijassa-1393	502	13	(	(	PUNCT
ijassa-1393	502	14	rtsd	rtsd	NOUN
ijassa-1393	502	15	-	-	PUNCT
ijassa-1393	502	16	net	net	NOUN
ijassa-1393	502	17	):	):	PUNCT
ijassa-1393	502	18	an	an	DET
ijassa-1393	502	19	edge	edge	NOUN
ijassa-1393	502	20	ai	ai	VERB
ijassa-1393	502	21	application	application	NOUN
ijassa-1393	502	22	.	.	PUNCT
ijassa-1393	503	1	computers	computer	NOUN
ijassa-1393	503	2	and	and	CCONJ
ijassa-1393	503	3	electronics	electronic	NOUN
ijassa-1393	503	4	in	in	ADP
ijassa-1393	503	5	agriculture	agriculture	NOUN
ijassa-1393	503	6	,	,	PUNCT
ijassa-1393	503	7	192	192	NUM
ijassa-1393	503	8	,	,	PUNCT
ijassa-1393	503	9	106586	106586	NUM
ijassa-1393	503	10	.	.	PUNCT