id	sid	tid	token	lemma	pos
cana-2346	1	1	communications	communication	NOUN
cana-2346	1	2	on	on	ADP
cana-2346	1	3	applied	apply	VERB
cana-2346	1	4	nonlinear	nonlinear	ADJ
cana-2346	1	5	analysis	analysis	NOUN
cana-2346	1	6	issn	issn	NOUN
cana-2346	1	7	:	:	PUNCT
cana-2346	1	8	1074	1074	NUM
cana-2346	1	9	-	-	PUNCT
cana-2346	1	10	133x	133x	NUM
cana-2346	1	11	vol	vol	NOUN
cana-2346	1	12	32	32	NUM
cana-2346	1	13	no	no	NOUN
cana-2346	1	14	.	.	PUNCT
cana-2346	2	1	1s	1s	NUM
cana-2346	2	2	(	(	PUNCT
cana-2346	2	3	2025	2025	NUM
cana-2346	2	4	)	)	PUNCT
cana-2346	2	5	585	585	NUM
cana-2346	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	2	7	harvest	harvest	NOUN
cana-2346	2	8	harmony	harmony	NOUN
cana-2346	2	9	:	:	PUNCT
cana-2346	2	10	integrating	integrate	VERB
cana-2346	2	11	linear	linear	ADJ
cana-2346	2	12	and	and	CCONJ
cana-2346	2	13	nonlinear	nonlinear	ADJ
cana-2346	2	14	machine	machine	NOUN
cana-2346	2	15	learning	learning	NOUN
cana-2346	2	16	models	model	NOUN
cana-2346	2	17	for	for	ADP
cana-2346	2	18	precision	precision	NOUN
cana-2346	2	19	crop	crop	NOUN
cana-2346	2	20	recommendation	recommendation	PROPN
cana-2346	2	21	b	b	PROPN
cana-2346	2	22	ramesh	ramesh	PROPN
cana-2346	2	23	naidu1	naidu1	PROPN
cana-2346	2	24	,	,	PUNCT
cana-2346	2	25	s	s	PART
cana-2346	2	26	r	r	NOUN
cana-2346	2	27	g	g	PROPN
cana-2346	2	28	reddy2	reddy2	NOUN
cana-2346	2	29	,	,	PUNCT
cana-2346	2	30	v	v	ADP
cana-2346	2	31	sivaramaraju	sivaramaraju	ADJ
cana-2346	2	32	vetukuri3	vetukuri3	NOUN
cana-2346	2	33	,	,	PUNCT
cana-2346	2	34	chinta	chinta	NOUN
cana-2346	2	35	someswara	someswara	ADJ
cana-2346	2	36	rao4	rao4	PROPN
cana-2346	2	37	1department	1department	NUM
cana-2346	2	38	of	of	ADP
cana-2346	2	39	information	information	NOUN
cana-2346	2	40	technology	technology	NOUN
cana-2346	2	41	,	,	PUNCT
cana-2346	2	42	aitam	aitam	NOUN
cana-2346	2	43	,	,	PUNCT
cana-2346	2	44	tekkali	tekkali	PROPN
cana-2346	2	45	,	,	PUNCT
cana-2346	2	46	ap	ap	PROPN
cana-2346	2	47	,	,	PUNCT
cana-2346	2	48	india	india	PROPN
cana-2346	2	49	2department	2department	PROPN
cana-2346	2	50	of	of	ADP
cana-2346	2	51	information	information	NOUN
cana-2346	2	52	technology	technology	NOUN
cana-2346	2	53	,	,	PUNCT
cana-2346	2	54	srkr	srkr	NOUN
cana-2346	2	55	engineering	engineering	PROPN
cana-2346	2	56	college	college	PROPN
cana-2346	2	57	,	,	PUNCT
cana-2346	2	58	bhimavaram	bhimavaram	PROPN
cana-2346	2	59	,	,	PUNCT
cana-2346	2	60	ap	ap	PROPN
cana-2346	2	61	,	,	PUNCT
cana-2346	2	62	india	india	PROPN
cana-2346	2	63	3department	3department	PROPN
cana-2346	2	64	of	of	ADP
cana-2346	2	65	computer	computer	NOUN
cana-2346	2	66	science	science	NOUN
cana-2346	2	67	and	and	CCONJ
cana-2346	2	68	engineering	engineering	NOUN
cana-2346	2	69	,	,	PUNCT
cana-2346	2	70	koneru	koneru	PROPN
cana-2346	2	71	lakshmaiah	lakshmaiah	PROPN
cana-2346	2	72	education	education	PROPN
cana-2346	2	73	foundation	foundation	PROPN
cana-2346	2	74	,	,	PUNCT
cana-2346	2	75	vaddeswaram	vaddeswaram	PROPN
cana-2346	2	76	,	,	PUNCT
cana-2346	2	77	guntur	guntur	PROPN
cana-2346	2	78	,	,	PUNCT
cana-2346	2	79	andhra	andhra	PROPN
cana-2346	2	80	pradesh	pradesh	PROPN
cana-2346	2	81	,	,	PUNCT
cana-2346	2	82	india	india	PROPN
cana-2346	2	83	4department	4department	NUM
cana-2346	2	84	of	of	ADP
cana-2346	2	85	it	it	PRON
cana-2346	2	86	,	,	PUNCT
cana-2346	3	1	yanthraa	yanthraa	VERB
cana-2346	3	2	information	information	NOUN
cana-2346	3	3	systems	system	NOUN
cana-2346	3	4	pvt.ltd	pvt.ltd	ADJ
cana-2346	3	5	.	.	PROPN
cana-2346	3	6	,	,	PUNCT
cana-2346	3	7	ts	ts	PROPN
cana-2346	3	8	,	,	PUNCT
cana-2346	3	9	india	india	PROPN
cana-2346	3	10	article	article	PROPN
cana-2346	3	11	history	history	NOUN
cana-2346	3	12	:	:	PUNCT
cana-2346	3	13	received	receive	VERB
cana-2346	3	14	:	:	PUNCT
cana-2346	3	15	02	02	NUM
cana-2346	3	16	-	-	PUNCT
cana-2346	3	17	09	09	NUM
cana-2346	3	18	-	-	PUNCT
cana-2346	3	19	2024	2024	NUM
cana-2346	3	20	revised	revise	VERB
cana-2346	3	21	:	:	PUNCT
cana-2346	3	22	17	17	NUM
cana-2346	3	23	-	-	SYM
cana-2346	3	24	10	10	NUM
cana-2346	3	25	-	-	PUNCT
cana-2346	3	26	2024	2024	NUM
cana-2346	3	27	accepted	accept	VERB
cana-2346	3	28	:	:	PUNCT
cana-2346	3	29	01	01	NUM
cana-2346	3	30	-	-	SYM
cana-2346	3	31	11	11	NUM
cana-2346	3	32	-	-	PUNCT
cana-2346	3	33	2024	2024	NUM
cana-2346	3	34	abstract	abstract	NOUN
cana-2346	3	35	:	:	PUNCT
cana-2346	3	36	this	this	DET
cana-2346	3	37	research	research	NOUN
cana-2346	3	38	presents	present	VERB
cana-2346	3	39	a	a	DET
cana-2346	3	40	comprehensive	comprehensive	ADJ
cana-2346	3	41	crop	crop	NOUN
cana-2346	3	42	recommendation	recommendation	NOUN
cana-2346	3	43	system	system	NOUN
cana-2346	3	44	that	that	PRON
cana-2346	3	45	combines	combine	VERB
cana-2346	3	46	linear	linear	ADJ
cana-2346	3	47	and	and	CCONJ
cana-2346	3	48	nonlinear	nonlinear	ADJ
cana-2346	3	49	machine	machine	NOUN
cana-2346	3	50	learning	learning	NOUN
cana-2346	3	51	models	model	NOUN
cana-2346	3	52	to	to	PART
cana-2346	3	53	forecast	forecast	VERB
cana-2346	3	54	suitable	suitable	ADJ
cana-2346	3	55	crops	crop	NOUN
cana-2346	3	56	based	base	VERB
cana-2346	3	57	on	on	ADP
cana-2346	3	58	soil	soil	NOUN
cana-2346	3	59	and	and	CCONJ
cana-2346	3	60	environmental	environmental	ADJ
cana-2346	3	61	factors	factor	NOUN
cana-2346	3	62	.	.	PUNCT
cana-2346	4	1	the	the	DET
cana-2346	4	2	study	study	NOUN
cana-2346	4	3	evaluates	evaluate	VERB
cana-2346	4	4	the	the	DET
cana-2346	4	5	performance	performance	NOUN
cana-2346	4	6	of	of	ADP
cana-2346	4	7	logistic	logistic	ADJ
cana-2346	4	8	regression	regression	NOUN
cana-2346	4	9	(	(	PUNCT
cana-2346	4	10	linear	linear	NOUN
cana-2346	4	11	)	)	PUNCT
cana-2346	4	12	alongside	alongside	ADP
cana-2346	4	13	random	random	ADJ
cana-2346	4	14	forest	forest	NOUN
cana-2346	4	15	,	,	PUNCT
cana-2346	4	16	gradient	gradient	ADJ
cana-2346	4	17	boosting	boosting	NOUN
cana-2346	4	18	,	,	PUNCT
cana-2346	4	19	and	and	CCONJ
cana-2346	4	20	xgboost	xgboost	ADV
cana-2346	4	21	(	(	PUNCT
cana-2346	4	22	nonlinear	nonlinear	ADJ
cana-2346	4	23	models	model	NOUN
cana-2346	4	24	)	)	PUNCT
cana-2346	4	25	in	in	ADP
cana-2346	4	26	delivering	deliver	VERB
cana-2346	4	27	accurate	accurate	ADJ
cana-2346	4	28	crop	crop	NOUN
cana-2346	4	29	suggestions	suggestion	NOUN
cana-2346	4	30	.	.	PUNCT
cana-2346	5	1	precision	precision	NOUN
cana-2346	5	2	,	,	PUNCT
cana-2346	5	3	recall	recall	NOUN
cana-2346	5	4	,	,	PUNCT
cana-2346	5	5	and	and	CCONJ
cana-2346	5	6	f1	f1	ADJ
cana-2346	5	7	-	-	PUNCT
cana-2346	5	8	score	score	NOUN
cana-2346	5	9	metrics	metric	NOUN
cana-2346	5	10	are	be	AUX
cana-2346	5	11	employed	employ	VERB
cana-2346	5	12	to	to	PART
cana-2346	5	13	assess	assess	VERB
cana-2346	5	14	the	the	DET
cana-2346	5	15	models	model	NOUN
cana-2346	5	16	'	'	PART
cana-2346	5	17	effectiveness	effectiveness	NOUN
cana-2346	5	18	.	.	PUNCT
cana-2346	6	1	the	the	DET
cana-2346	6	2	dataset	dataset	NOUN
cana-2346	6	3	incorporates	incorporate	VERB
cana-2346	6	4	vital	vital	ADJ
cana-2346	6	5	soil	soil	NOUN
cana-2346	6	6	characteristics	characteristic	NOUN
cana-2346	6	7	,	,	PUNCT
cana-2346	6	8	such	such	ADJ
cana-2346	6	9	as	as	ADP
cana-2346	6	10	nitrogen	nitrogen	NOUN
cana-2346	6	11	,	,	PUNCT
cana-2346	6	12	phosphorus	phosphorus	NOUN
cana-2346	6	13	,	,	PUNCT
cana-2346	6	14	and	and	CCONJ
cana-2346	6	15	potassium	potassium	NOUN
cana-2346	6	16	levels	level	NOUN
cana-2346	6	17	,	,	PUNCT
cana-2346	6	18	and	and	CCONJ
cana-2346	6	19	environmental	environmental	ADJ
cana-2346	6	20	parameters	parameter	NOUN
cana-2346	6	21	like	like	ADP
cana-2346	6	22	temperature	temperature	NOUN
cana-2346	6	23	,	,	PUNCT
cana-2346	6	24	humidity	humidity	NOUN
cana-2346	6	25	,	,	PUNCT
cana-2346	6	26	ph	ph	NOUN
cana-2346	6	27	,	,	PUNCT
cana-2346	6	28	and	and	CCONJ
cana-2346	6	29	rainfall	rainfall	NOUN
cana-2346	6	30	.	.	PUNCT
cana-2346	7	1	the	the	DET
cana-2346	7	2	results	result	NOUN
cana-2346	7	3	demonstrate	demonstrate	VERB
cana-2346	7	4	that	that	SCONJ
cana-2346	7	5	while	while	SCONJ
cana-2346	7	6	linear	linear	ADJ
cana-2346	7	7	models	model	NOUN
cana-2346	7	8	like	like	ADP
cana-2346	7	9	logistic	logistic	ADJ
cana-2346	7	10	regression	regression	NOUN
cana-2346	7	11	offer	offer	NOUN
cana-2346	7	12	simplicity	simplicity	NOUN
cana-2346	7	13	,	,	PUNCT
cana-2346	7	14	nonlinear	nonlinear	ADJ
cana-2346	7	15	models	model	NOUN
cana-2346	7	16	such	such	ADJ
cana-2346	7	17	as	as	ADP
cana-2346	7	18	xgboost	xgboost	X
cana-2346	7	19	excel	excel	VERB
cana-2346	7	20	in	in	ADP
cana-2346	7	21	capturing	capture	VERB
cana-2346	7	22	complex	complex	ADJ
cana-2346	7	23	data	datum	NOUN
cana-2346	7	24	patterns	pattern	NOUN
cana-2346	7	25	,	,	PUNCT
cana-2346	7	26	providing	provide	VERB
cana-2346	7	27	more	more	ADV
cana-2346	7	28	precise	precise	ADJ
cana-2346	7	29	recommendations	recommendation	NOUN
cana-2346	7	30	.	.	PUNCT
cana-2346	8	1	this	this	DET
cana-2346	8	2	dualmodel	dualmodel	ADJ
cana-2346	8	3	strategy	strategy	NOUN
cana-2346	8	4	empowers	empower	VERB
cana-2346	8	5	farmers	farmer	NOUN
cana-2346	8	6	to	to	PART
cana-2346	8	7	make	make	VERB
cana-2346	8	8	informed	informed	ADJ
cana-2346	8	9	decisions	decision	NOUN
cana-2346	8	10	tailored	tailor	VERB
cana-2346	8	11	to	to	ADP
cana-2346	8	12	specific	specific	ADJ
cana-2346	8	13	farming	farming	NOUN
cana-2346	8	14	conditions	condition	NOUN
cana-2346	8	15	,	,	PUNCT
cana-2346	8	16	boosting	boost	VERB
cana-2346	8	17	agricultural	agricultural	ADJ
cana-2346	8	18	productivity	productivity	NOUN
cana-2346	8	19	.	.	PUNCT
cana-2346	9	1	the	the	DET
cana-2346	9	2	study	study	NOUN
cana-2346	9	3	underscores	underscore	VERB
cana-2346	9	4	the	the	DET
cana-2346	9	5	importance	importance	NOUN
cana-2346	9	6	of	of	ADP
cana-2346	9	7	integrating	integrate	VERB
cana-2346	9	8	both	both	CCONJ
cana-2346	9	9	linear	linear	ADJ
cana-2346	9	10	and	and	CCONJ
cana-2346	9	11	nonlinear	nonlinear	ADJ
cana-2346	9	12	machine	machine	NOUN
cana-2346	9	13	learning	learn	VERB
cana-2346	9	14	techniques	technique	NOUN
cana-2346	9	15	to	to	PART
cana-2346	9	16	achieve	achieve	VERB
cana-2346	9	17	optimal	optimal	ADJ
cana-2346	9	18	crop	crop	NOUN
cana-2346	9	19	recommendations	recommendation	NOUN
cana-2346	9	20	,	,	PUNCT
cana-2346	9	21	encouraging	encourage	VERB
cana-2346	9	22	resource	resource	NOUN
cana-2346	9	23	efficiency	efficiency	NOUN
cana-2346	9	24	and	and	CCONJ
cana-2346	9	25	sustainable	sustainable	ADJ
cana-2346	9	26	agricultural	agricultural	ADJ
cana-2346	9	27	practices	practice	NOUN
cana-2346	9	28	.	.	PUNCT
cana-2346	10	1	keywords	keyword	NOUN
cana-2346	10	2	:	:	PUNCT
cana-2346	10	3	crop	crop	NOUN
cana-2346	10	4	recommendation	recommendation	NOUN
cana-2346	10	5	;	;	PUNCT
cana-2346	10	6	machine	machine	NOUN
cana-2346	10	7	learning	learning	NOUN
cana-2346	10	8	methodologies	methodology	NOUN
cana-2346	10	9	;	;	PUNCT
cana-2346	10	10	soil	soil	NOUN
cana-2346	10	11	attributes	attribute	VERB
cana-2346	10	12	;	;	PUNCT
cana-2346	10	13	environmental	environmental	ADJ
cana-2346	10	14	factors	factor	NOUN
cana-2346	10	15	;	;	PUNCT
cana-2346	10	16	agricultural	agricultural	ADJ
cana-2346	10	17	productivity	productivity	NOUN
cana-2346	10	18	introduction	introduction	NOUN
cana-2346	10	19	agriculture	agriculture	NOUN
cana-2346	10	20	serves	serve	VERB
cana-2346	10	21	as	as	ADP
cana-2346	10	22	the	the	DET
cana-2346	10	23	foundation	foundation	NOUN
cana-2346	10	24	of	of	ADP
cana-2346	10	25	numerous	numerous	ADJ
cana-2346	10	26	economies	economy	NOUN
cana-2346	10	27	globally	globally	ADV
cana-2346	10	28	,	,	PUNCT
cana-2346	10	29	playing	play	VERB
cana-2346	10	30	a	a	DET
cana-2346	10	31	crucial	crucial	ADJ
cana-2346	10	32	role	role	NOUN
cana-2346	10	33	in	in	ADP
cana-2346	10	34	guaranteeing	guarantee	VERB
cana-2346	10	35	food	food	NOUN
cana-2346	10	36	security	security	NOUN
cana-2346	10	37	and	and	CCONJ
cana-2346	10	38	promoting	promote	VERB
cana-2346	10	39	sustainable	sustainable	ADJ
cana-2346	10	40	development	development	NOUN
cana-2346	10	41	.	.	PUNCT
cana-2346	11	1	nevertheless	nevertheless	ADV
cana-2346	11	2	,	,	PUNCT
cana-2346	11	3	farmers	farmer	NOUN
cana-2346	11	4	encounter	encounter	VERB
cana-2346	11	5	a	a	DET
cana-2346	11	6	major	major	ADJ
cana-2346	11	7	challenge	challenge	NOUN
cana-2346	11	8	when	when	SCONJ
cana-2346	11	9	it	it	PRON
cana-2346	11	10	comes	come	VERB
cana-2346	11	11	to	to	ADP
cana-2346	11	12	choosing	choose	VERB
cana-2346	11	13	the	the	DET
cana-2346	11	14	right	right	ADJ
cana-2346	11	15	crops	crop	NOUN
cana-2346	11	16	that	that	PRON
cana-2346	11	17	are	be	AUX
cana-2346	11	18	able	able	ADJ
cana-2346	11	19	to	to	PART
cana-2346	11	20	prosper	prosper	VERB
cana-2346	11	21	in	in	ADP
cana-2346	11	22	their	their	PRON
cana-2346	11	23	particular	particular	ADJ
cana-2346	11	24	environmental	environmental	ADJ
cana-2346	11	25	and	and	CCONJ
cana-2346	11	26	soil	soil	NOUN
cana-2346	11	27	conditions	condition	NOUN
cana-2346	11	28	.	.	PUNCT
cana-2346	12	1	conventional	conventional	ADJ
cana-2346	12	2	crop	crop	NOUN
cana-2346	12	3	selection	selection	NOUN
cana-2346	12	4	methods	method	NOUN
cana-2346	12	5	typically	typically	ADV
cana-2346	12	6	depend	depend	VERB
cana-2346	12	7	on	on	ADP
cana-2346	12	8	practical	practical	ADJ
cana-2346	12	9	knowledge	knowledge	NOUN
cana-2346	12	10	and	and	CCONJ
cana-2346	12	11	expertise	expertise	NOUN
cana-2346	12	12	,	,	PUNCT
cana-2346	12	13	which	which	PRON
cana-2346	12	14	may	may	AUX
cana-2346	12	15	not	not	PART
cana-2346	12	16	consistently	consistently	ADV
cana-2346	12	17	produce	produce	VERB
cana-2346	12	18	the	the	DET
cana-2346	12	19	best	good	ADJ
cana-2346	12	20	outcomes	outcome	NOUN
cana-2346	12	21	.	.	PUNCT
cana-2346	13	1	recently	recently	ADV
cana-2346	13	2	,	,	PUNCT
cana-2346	13	3	the	the	DET
cana-2346	13	4	inclusion	inclusion	NOUN
cana-2346	13	5	of	of	ADP
cana-2346	13	6	machine	machine	NOUN
cana-2346	13	7	learning	learn	VERB
cana-2346	13	8	techniques	technique	NOUN
cana-2346	13	9	into	into	ADP
cana-2346	13	10	the	the	DET
cana-2346	13	11	agricultural	agricultural	ADJ
cana-2346	13	12	sector	sector	NOUN
cana-2346	13	13	has	have	AUX
cana-2346	13	14	become	become	VERB
cana-2346	13	15	a	a	DET
cana-2346	13	16	promising	promising	ADJ
cana-2346	13	17	solution	solution	NOUN
cana-2346	13	18	for	for	ADP
cana-2346	13	19	tackling	tackle	VERB
cana-2346	13	20	this	this	DET
cana-2346	13	21	issue	issue	NOUN
cana-2346	13	22	.	.	PUNCT
cana-2346	14	1	machine	machine	NOUN
cana-2346	14	2	learning	learning	NOUN
cana-2346	14	3	models	model	NOUN
cana-2346	14	4	can	can	AUX
cana-2346	14	5	offer	offer	VERB
cana-2346	14	6	valuable	valuable	ADJ
cana-2346	14	7	insights	insight	NOUN
cana-2346	14	8	and	and	CCONJ
cana-2346	14	9	recommendations	recommendation	NOUN
cana-2346	14	10	for	for	ADP
cana-2346	14	11	crop	crop	NOUN
cana-2346	14	12	selection	selection	NOUN
cana-2346	14	13	by	by	ADP
cana-2346	14	14	utilizing	utilize	VERB
cana-2346	14	15	large	large	ADJ
cana-2346	14	16	datasets	dataset	NOUN
cana-2346	14	17	of	of	ADP
cana-2346	14	18	soil	soil	NOUN
cana-2346	14	19	attributes	attribute	NOUN
cana-2346	14	20	and	and	CCONJ
cana-2346	14	21	environmental	environmental	ADJ
cana-2346	14	22	factors	factor	NOUN
cana-2346	14	23	,	,	PUNCT
cana-2346	14	24	which	which	PRON
cana-2346	14	25	in	in	ADP
cana-2346	14	26	turn	turn	NOUN
cana-2346	14	27	can	can	AUX
cana-2346	14	28	boost	boost	VERB
cana-2346	14	29	agricultural	agricultural	ADJ
cana-2346	14	30	productivity	productivity	NOUN
cana-2346	14	31	and	and	CCONJ
cana-2346	14	32	sustainability	sustainability	NOUN
cana-2346	14	33	.	.	PUNCT
cana-2346	15	1	the	the	DET
cana-2346	15	2	current	current	ADJ
cana-2346	15	3	study	study	NOUN
cana-2346	15	4	aims	aim	VERB
cana-2346	15	5	to	to	PART
cana-2346	15	6	add	add	VERB
cana-2346	15	7	to	to	ADP
cana-2346	15	8	this	this	DET
cana-2346	15	9	emerging	emerge	VERB
cana-2346	15	10	area	area	NOUN
cana-2346	15	11	by	by	ADP
cana-2346	15	12	suggesting	suggest	VERB
cana-2346	15	13	a	a	DET
cana-2346	15	14	crop	crop	NOUN
cana-2346	15	15	recommendation	recommendation	NOUN
cana-2346	15	16	system	system	NOUN
cana-2346	15	17	that	that	PRON
cana-2346	15	18	combines	combine	VERB
cana-2346	15	19	different	different	ADJ
cana-2346	15	20	machine	machine	NOUN
cana-2346	15	21	learning	learn	VERB
cana-2346	15	22	algorithms	algorithm	NOUN
cana-2346	15	23	.	.	PUNCT
cana-2346	16	1	in	in	ADP
cana-2346	16	2	particular	particular	ADJ
cana-2346	16	3	,	,	PUNCT
cana-2346	16	4	we	we	PRON
cana-2346	16	5	investigate	investigate	VERB
cana-2346	16	6	how	how	SCONJ
cana-2346	16	7	well	well	ADV
cana-2346	16	8	logistic	logistic	ADJ
cana-2346	16	9	regression	regression	NOUN
cana-2346	16	10	,	,	PUNCT
cana-2346	16	11	random	random	ADJ
cana-2346	16	12	forest	forest	NOUN
cana-2346	16	13	,	,	PUNCT
cana-2346	16	14	gradient	gradient	ADJ
cana-2346	16	15	boost	boost	NOUN
cana-2346	16	16	,	,	PUNCT
cana-2346	16	17	and	and	CCONJ
cana-2346	16	18	xgboost	xgboost	ADV
cana-2346	16	19	algorithms	algorithm	NOUN
cana-2346	16	20	can	can	AUX
cana-2346	16	21	predict	predict	VERB
cana-2346	16	22	appropriate	appropriate	ADJ
cana-2346	16	23	crops	crop	NOUN
cana-2346	16	24	by	by	ADP
cana-2346	16	25	considering	consider	VERB
cana-2346	16	26	soil	soil	NOUN
cana-2346	16	27	and	and	CCONJ
cana-2346	16	28	environmental	environmental	ADJ
cana-2346	16	29	factors	factor	NOUN
cana-2346	16	30	.	.	PUNCT
cana-2346	17	1	these	these	DET
cana-2346	17	2	methods	method	NOUN
cana-2346	17	3	are	be	AUX
cana-2346	17	4	selected	select	VERB
cana-2346	17	5	for	for	ADP
cana-2346	17	6	their	their	PRON
cana-2346	17	7	durability	durability	NOUN
cana-2346	17	8	,	,	PUNCT
cana-2346	17	9	adaptability	adaptability	NOUN
cana-2346	17	10	,	,	PUNCT
cana-2346	17	11	and	and	CCONJ
cana-2346	17	12	capability	capability	NOUN
cana-2346	17	13	to	to	PART
cana-2346	17	14	manage	manage	VERB
cana-2346	17	15	intricate	intricate	ADJ
cana-2346	17	16	data	data	NOUN
cana-2346	17	17	sets	set	NOUN
cana-2346	17	18	.	.	PUNCT
cana-2346	18	1	by	by	ADP
cana-2346	18	2	thoroughly	thoroughly	ADV
cana-2346	18	3	assessing	assess	VERB
cana-2346	18	4	these	these	DET
cana-2346	18	5	models	model	NOUN
cana-2346	18	6	with	with	ADP
cana-2346	18	7	metrics	metric	NOUN
cana-2346	18	8	like	like	ADP
cana-2346	18	9	precision	precision	NOUN
cana-2346	18	10	,	,	PUNCT
cana-2346	18	11	recall	recall	NOUN
cana-2346	18	12	,	,	PUNCT
cana-2346	18	13	and	and	CCONJ
cana-2346	18	14	f1	f1	NOUN
cana-2346	18	15	-	-	PUNCT
cana-2346	18	16	score	score	NOUN
cana-2346	18	17	,	,	PUNCT
cana-2346	18	18	our	our	PRON
cana-2346	18	19	goal	goal	NOUN
cana-2346	18	20	is	be	AUX
cana-2346	18	21	to	to	PART
cana-2346	18	22	evaluate	evaluate	VERB
cana-2346	18	23	their	their	PRON
cana-2346	18	24	performance	performance	NOUN
cana-2346	18	25	and	and	CCONJ
cana-2346	18	26	determine	determine	VERB
cana-2346	18	27	the	the	DET
cana-2346	18	28	most	most	ADV
cana-2346	18	29	efficient	efficient	ADJ
cana-2346	18	30	method	method	NOUN
cana-2346	18	31	for	for	ADP
cana-2346	18	32	recommending	recommend	VERB
cana-2346	18	33	crops[4	crops[4	NOUN
cana-2346	18	34	-	-	SYM
cana-2346	18	35	5	5	NUM
cana-2346	18	36	]	]	PUNCT
cana-2346	18	37	.	.	PUNCT
cana-2346	19	1	communications	communication	NOUN
cana-2346	19	2	on	on	ADP
cana-2346	19	3	applied	apply	VERB
cana-2346	19	4	nonlinear	nonlinear	ADJ
cana-2346	19	5	analysis	analysis	NOUN
cana-2346	19	6	issn	issn	NOUN
cana-2346	19	7	:	:	PUNCT
cana-2346	19	8	1074	1074	NUM
cana-2346	19	9	-	-	PUNCT
cana-2346	19	10	133x	133x	NUM
cana-2346	19	11	vol	vol	NOUN
cana-2346	19	12	32	32	NUM
cana-2346	19	13	no	no	NOUN
cana-2346	19	14	.	.	PUNCT
cana-2346	20	1	1s	1s	NUM
cana-2346	20	2	(	(	PUNCT
cana-2346	20	3	2025	2025	NUM
cana-2346	20	4	)	)	PUNCT
cana-2346	20	5	586	586	NUM
cana-2346	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	20	7	at	at	ADP
cana-2346	20	8	the	the	DET
cana-2346	20	9	heart	heart	NOUN
cana-2346	20	10	of	of	ADP
cana-2346	20	11	our	our	PRON
cana-2346	20	12	research	research	NOUN
cana-2346	20	13	is	be	AUX
cana-2346	20	14	the	the	DET
cana-2346	20	15	examination	examination	NOUN
cana-2346	20	16	of	of	ADP
cana-2346	20	17	a	a	DET
cana-2346	20	18	dataset	dataset	NOUN
cana-2346	20	19	containing	contain	VERB
cana-2346	20	20	various	various	ADJ
cana-2346	20	21	soil	soil	NOUN
cana-2346	20	22	characteristics	characteristic	NOUN
cana-2346	20	23	and	and	CCONJ
cana-2346	20	24	environmental	environmental	ADJ
cana-2346	20	25	factors	factor	NOUN
cana-2346	20	26	,	,	PUNCT
cana-2346	20	27	such	such	ADJ
cana-2346	20	28	as	as	ADP
cana-2346	20	29	nitrogen	nitrogen	NOUN
cana-2346	20	30	,	,	PUNCT
cana-2346	20	31	phosphorous	phosphorous	ADJ
cana-2346	20	32	,	,	PUNCT
cana-2346	20	33	potassium	potassium	NOUN
cana-2346	20	34	levels	level	NOUN
cana-2346	20	35	,	,	PUNCT
cana-2346	20	36	temperature	temperature	NOUN
cana-2346	20	37	,	,	PUNCT
cana-2346	20	38	humidity	humidity	NOUN
cana-2346	20	39	,	,	PUNCT
cana-2346	20	40	ph	ph	NOUN
cana-2346	20	41	,	,	PUNCT
cana-2346	20	42	and	and	CCONJ
cana-2346	20	43	precipitation	precipitation	NOUN
cana-2346	20	44	.	.	PUNCT
cana-2346	21	1	these	these	DET
cana-2346	21	2	elements	element	NOUN
cana-2346	21	3	are	be	AUX
cana-2346	21	4	crucial	crucial	ADJ
cana-2346	21	5	in	in	ADP
cana-2346	21	6	assessing	assess	VERB
cana-2346	21	7	if	if	SCONJ
cana-2346	21	8	crops	crop	NOUN
cana-2346	21	9	are	be	AUX
cana-2346	21	10	suitable	suitable	ADJ
cana-2346	21	11	for	for	ADP
cana-2346	21	12	growth	growth	NOUN
cana-2346	21	13	and	and	CCONJ
cana-2346	21	14	are	be	AUX
cana-2346	21	15	important	important	ADJ
cana-2346	21	16	factors	factor	NOUN
cana-2346	21	17	for	for	SCONJ
cana-2346	21	18	farmers	farmer	NOUN
cana-2346	21	19	to	to	PART
cana-2346	21	20	consider	consider	VERB
cana-2346	21	21	when	when	SCONJ
cana-2346	21	22	deciding	decide	VERB
cana-2346	21	23	what	what	PRON
cana-2346	21	24	to	to	PART
cana-2346	21	25	plant	plant	VERB
cana-2346	21	26	.	.	PUNCT
cana-2346	22	1	through	through	ADP
cana-2346	22	2	analyzing	analyze	VERB
cana-2346	22	3	the	the	DET
cana-2346	22	4	connections	connection	NOUN
cana-2346	22	5	between	between	ADP
cana-2346	22	6	these	these	DET
cana-2346	22	7	factors	factor	NOUN
cana-2346	22	8	and	and	CCONJ
cana-2346	22	9	the	the	DET
cana-2346	22	10	related	related	ADJ
cana-2346	22	11	types	type	NOUN
cana-2346	22	12	of	of	ADP
cana-2346	22	13	crops	crop	NOUN
cana-2346	22	14	,	,	PUNCT
cana-2346	22	15	we	we	PRON
cana-2346	22	16	aim	aim	VERB
cana-2346	22	17	to	to	PART
cana-2346	22	18	reveal	reveal	VERB
cana-2346	22	19	trends	trend	NOUN
cana-2346	22	20	and	and	CCONJ
cana-2346	22	21	understandings	understanding	NOUN
cana-2346	22	22	that	that	PRON
cana-2346	22	23	can	can	AUX
cana-2346	22	24	guide	guide	VERB
cana-2346	22	25	the	the	DET
cana-2346	22	26	creation	creation	NOUN
cana-2346	22	27	of	of	ADP
cana-2346	22	28	precise	precise	ADJ
cana-2346	22	29	and	and	CCONJ
cana-2346	22	30	trustworthy	trustworthy	ADJ
cana-2346	22	31	crop	crop	NOUN
cana-2346	22	32	suggestion	suggestion	NOUN
cana-2346	22	33	models[6	models[6	VERB
cana-2346	22	34	-	-	PUNCT
cana-2346	22	35	7	7	NUM
cana-2346	22	36	]	]	PUNCT
cana-2346	22	37	.	.	PUNCT
cana-2346	23	1	it	it	PRON
cana-2346	23	2	is	be	AUX
cana-2346	23	3	anticipated	anticipate	VERB
cana-2346	23	4	that	that	SCONJ
cana-2346	23	5	the	the	DET
cana-2346	23	6	results	result	NOUN
cana-2346	23	7	of	of	ADP
cana-2346	23	8	this	this	DET
cana-2346	23	9	research	research	NOUN
cana-2346	23	10	will	will	AUX
cana-2346	23	11	offer	offer	VERB
cana-2346	23	12	valuable	valuable	ADJ
cana-2346	23	13	perspectives	perspective	NOUN
cana-2346	23	14	on	on	ADP
cana-2346	23	15	how	how	SCONJ
cana-2346	23	16	well	well	ADV
cana-2346	23	17	various	various	ADJ
cana-2346	23	18	machine	machine	NOUN
cana-2346	23	19	learning	learning	NOUN
cana-2346	23	20	models	model	NOUN
cana-2346	23	21	can	can	AUX
cana-2346	23	22	suggest	suggest	VERB
cana-2346	23	23	crops	crop	NOUN
cana-2346	23	24	based	base	VERB
cana-2346	23	25	on	on	ADP
cana-2346	23	26	soil	soil	NOUN
cana-2346	23	27	and	and	CCONJ
cana-2346	23	28	environmental	environmental	ADJ
cana-2346	23	29	factors	factor	NOUN
cana-2346	23	30	.	.	PUNCT
cana-2346	24	1	our	our	PRON
cana-2346	24	2	research	research	NOUN
cana-2346	24	3	seeks	seek	VERB
cana-2346	24	4	to	to	PART
cana-2346	24	5	provide	provide	VERB
cana-2346	24	6	farmers	farmer	NOUN
cana-2346	24	7	with	with	ADP
cana-2346	24	8	the	the	DET
cana-2346	24	9	information	information	NOUN
cana-2346	24	10	and	and	CCONJ
cana-2346	24	11	resources	resource	NOUN
cana-2346	24	12	needed	need	VERB
cana-2346	24	13	to	to	PART
cana-2346	24	14	make	make	VERB
cana-2346	24	15	informed	informed	ADJ
cana-2346	24	16	decisions	decision	NOUN
cana-2346	24	17	about	about	ADP
cana-2346	24	18	choosing	choose	VERB
cana-2346	24	19	crops	crop	NOUN
cana-2346	24	20	by	by	ADP
cana-2346	24	21	examining	examine	VERB
cana-2346	24	22	the	the	DET
cana-2346	24	23	advantages	advantage	NOUN
cana-2346	24	24	and	and	CCONJ
cana-2346	24	25	disadvantages	disadvantage	NOUN
cana-2346	24	26	of	of	ADP
cana-2346	24	27	each	each	DET
cana-2346	24	28	methodology	methodology	NOUN
cana-2346	24	29	.	.	PUNCT
cana-2346	25	1	in	in	ADP
cana-2346	25	2	the	the	DET
cana-2346	25	3	end	end	NOUN
cana-2346	25	4	,	,	PUNCT
cana-2346	25	5	incorporating	incorporate	VERB
cana-2346	25	6	machine	machine	NOUN
cana-2346	25	7	learning	learning	NOUN
cana-2346	25	8	methods	method	NOUN
cana-2346	25	9	in	in	ADP
cana-2346	25	10	agriculture	agriculture	NOUN
cana-2346	25	11	could	could	AUX
cana-2346	25	12	completely	completely	ADV
cana-2346	25	13	transform	transform	VERB
cana-2346	25	14	farming	farming	NOUN
cana-2346	25	15	processes	process	NOUN
cana-2346	25	16	,	,	PUNCT
cana-2346	25	17	allowing	allow	VERB
cana-2346	25	18	farmers	farmer	NOUN
cana-2346	25	19	to	to	PART
cana-2346	25	20	improve	improve	VERB
cana-2346	25	21	crop	crop	NOUN
cana-2346	25	22	production	production	NOUN
cana-2346	25	23	,	,	PUNCT
cana-2346	25	24	reduce	reduce	VERB
cana-2346	25	25	resource	resource	NOUN
cana-2346	25	26	consumption	consumption	NOUN
cana-2346	25	27	,	,	PUNCT
cana-2346	25	28	and	and	CCONJ
cana-2346	25	29	support	support	NOUN
cana-2346	25	30	sustainable	sustainable	ADJ
cana-2346	25	31	agricultural	agricultural	ADJ
cana-2346	25	32	growth[8	growth[8	PROPN
cana-2346	25	33	]	]	PUNCT
cana-2346	25	34	.	.	PUNCT
cana-2346	26	1	overall	overall	ADV
cana-2346	26	2	,	,	PUNCT
cana-2346	26	3	this	this	DET
cana-2346	26	4	study	study	NOUN
cana-2346	26	5	marks	mark	VERB
cana-2346	26	6	an	an	DET
cana-2346	26	7	important	important	ADJ
cana-2346	26	8	advancement	advancement	NOUN
cana-2346	26	9	in	in	ADP
cana-2346	26	10	utilizing	utilize	VERB
cana-2346	26	11	machine	machine	NOUN
cana-2346	26	12	learning	learn	VERB
cana-2346	26	13	techniques	technique	NOUN
cana-2346	26	14	to	to	PART
cana-2346	26	15	recommend	recommend	VERB
cana-2346	26	16	crops	crop	NOUN
cana-2346	26	17	,	,	PUNCT
cana-2346	26	18	aiming	aim	VERB
cana-2346	26	19	to	to	PART
cana-2346	26	20	improve	improve	VERB
cana-2346	26	21	agricultural	agricultural	ADJ
cana-2346	26	22	productivity	productivity	NOUN
cana-2346	26	23	and	and	CCONJ
cana-2346	26	24	sustainability	sustainability	NOUN
cana-2346	26	25	in	in	ADP
cana-2346	26	26	the	the	DET
cana-2346	26	27	long	long	ADJ
cana-2346	26	28	run	run	NOUN
cana-2346	26	29	.	.	PUNCT
cana-2346	27	1	through	through	ADP
cana-2346	27	2	the	the	DET
cana-2346	27	3	integration	integration	NOUN
cana-2346	27	4	of	of	ADP
cana-2346	27	5	theoretical	theoretical	ADJ
cana-2346	27	6	knowledge	knowledge	NOUN
cana-2346	27	7	and	and	CCONJ
cana-2346	27	8	hands	hand	NOUN
cana-2346	27	9	-	-	PUNCT
cana-2346	27	10	on	on	ADP
cana-2346	27	11	experience	experience	NOUN
cana-2346	27	12	,	,	PUNCT
cana-2346	27	13	we	we	PRON
cana-2346	27	14	aim	aim	VERB
cana-2346	27	15	to	to	PART
cana-2346	27	16	connect	connect	VERB
cana-2346	27	17	academic	academic	ADJ
cana-2346	27	18	research	research	NOUN
cana-2346	27	19	with	with	ADP
cana-2346	27	20	practical	practical	ADJ
cana-2346	27	21	farming	farming	NOUN
cana-2346	27	22	methods	method	NOUN
cana-2346	27	23	,	,	PUNCT
cana-2346	27	24	promoting	promote	VERB
cana-2346	27	25	advancement	advancement	NOUN
cana-2346	27	26	and	and	CCONJ
cana-2346	27	27	creativity	creativity	NOUN
cana-2346	27	28	in	in	ADP
cana-2346	27	29	the	the	DET
cana-2346	27	30	realm	realm	NOUN
cana-2346	27	31	of	of	ADP
cana-2346	27	32	precision	precision	NOUN
cana-2346	27	33	agriculture	agriculture	NOUN
cana-2346	27	34	.	.	PUNCT
cana-2346	28	1	literature	literature	NOUN
cana-2346	28	2	survey	survey	PROPN
cana-2346	28	3	smith	smith	PROPN
cana-2346	28	4	et	et	PROPN
cana-2346	28	5	al	al	PROPN
cana-2346	28	6	.	.	PUNCT
cana-2346	29	1	[	[	X
cana-2346	29	2	9	9	NUM
cana-2346	29	3	]	]	PUNCT
cana-2346	29	4	presented	present	VERB
cana-2346	29	5	a	a	DET
cana-2346	29	6	detailed	detailed	ADJ
cana-2346	29	7	analysis	analysis	NOUN
cana-2346	29	8	of	of	ADP
cana-2346	29	9	different	different	ADJ
cana-2346	29	10	machine	machine	NOUN
cana-2346	29	11	learning	learn	VERB
cana-2346	29	12	techniques	technique	NOUN
cana-2346	29	13	used	use	VERB
cana-2346	29	14	in	in	ADP
cana-2346	29	15	crop	crop	NOUN
cana-2346	29	16	recommendation	recommendation	NOUN
cana-2346	29	17	systems	system	NOUN
cana-2346	29	18	.	.	PUNCT
cana-2346	30	1	they	they	PRON
cana-2346	30	2	talked	talk	VERB
cana-2346	30	3	about	about	ADP
cana-2346	30	4	how	how	SCONJ
cana-2346	30	5	machine	machine	NOUN
cana-2346	30	6	learning	learning	NOUN
cana-2346	30	7	is	be	AUX
cana-2346	30	8	important	important	ADJ
cana-2346	30	9	in	in	ADP
cana-2346	30	10	analyzing	analyze	VERB
cana-2346	30	11	soil	soil	NOUN
cana-2346	30	12	and	and	CCONJ
cana-2346	30	13	environmental	environmental	ADJ
cana-2346	30	14	data	datum	NOUN
cana-2346	30	15	to	to	PART
cana-2346	30	16	suggest	suggest	VERB
cana-2346	30	17	the	the	DET
cana-2346	30	18	best	good	ADJ
cana-2346	30	19	crops	crop	NOUN
cana-2346	30	20	for	for	ADP
cana-2346	30	21	maximum	maximum	ADJ
cana-2346	30	22	agricultural	agricultural	ADJ
cana-2346	30	23	production	production	NOUN
cana-2346	30	24	.	.	PUNCT
cana-2346	31	1	the	the	DET
cana-2346	31	2	article	article	NOUN
cana-2346	31	3	emphasized	emphasize	VERB
cana-2346	31	4	how	how	SCONJ
cana-2346	31	5	algorithms	algorithm	NOUN
cana-2346	31	6	like	like	ADP
cana-2346	31	7	logistic	logistic	ADJ
cana-2346	31	8	regression	regression	NOUN
cana-2346	31	9	,	,	PUNCT
cana-2346	31	10	random	random	ADJ
cana-2346	31	11	forest	forest	NOUN
cana-2346	31	12	,	,	PUNCT
cana-2346	31	13	and	and	CCONJ
cana-2346	31	14	gradient	gradient	NOUN
cana-2346	31	15	boosting	boosting	NOUN
cana-2346	31	16	are	be	AUX
cana-2346	31	17	adaptable	adaptable	ADJ
cana-2346	31	18	in	in	ADP
cana-2346	31	19	managing	manage	VERB
cana-2346	31	20	varied	varied	ADJ
cana-2346	31	21	datasets	dataset	NOUN
cana-2346	31	22	and	and	CCONJ
cana-2346	31	23	producing	produce	VERB
cana-2346	31	24	precise	precise	ADJ
cana-2346	31	25	forecasts	forecast	NOUN
cana-2346	31	26	.	.	PUNCT
cana-2346	32	1	in	in	ADP
cana-2346	32	2	addition	addition	NOUN
cana-2346	32	3	,	,	PUNCT
cana-2346	32	4	it	it	PRON
cana-2346	32	5	highlighted	highlight	VERB
cana-2346	32	6	the	the	DET
cana-2346	32	7	significance	significance	NOUN
cana-2346	32	8	of	of	ADP
cana-2346	32	9	precision	precision	NOUN
cana-2346	32	10	agriculture	agriculture	NOUN
cana-2346	32	11	in	in	ADP
cana-2346	32	12	modern	modern	ADJ
cana-2346	32	13	farming	farming	NOUN
cana-2346	32	14	methods	method	NOUN
cana-2346	32	15	and	and	CCONJ
cana-2346	32	16	the	the	DET
cana-2346	32	17	role	role	NOUN
cana-2346	32	18	of	of	ADP
cana-2346	32	19	machine	machine	NOUN
cana-2346	32	20	learning	learning	NOUN
cana-2346	32	21	methods	method	NOUN
cana-2346	32	22	in	in	ADP
cana-2346	32	23	sustainable	sustainable	ADJ
cana-2346	32	24	crop	crop	NOUN
cana-2346	32	25	management	management	NOUN
cana-2346	32	26	.	.	PUNCT
cana-2346	33	1	shams	sham	NOUN
cana-2346	33	2	and	and	CCONJ
cana-2346	33	3	his	his	PRON
cana-2346	33	4	colleagues	colleague	NOUN
cana-2346	34	1	[	[	X
cana-2346	34	2	10	10	NUM
cana-2346	34	3	]	]	PUNCT
cana-2346	34	4	carried	carry	VERB
cana-2346	34	5	out	out	ADP
cana-2346	34	6	research	research	NOUN
cana-2346	34	7	that	that	SCONJ
cana-2346	34	8	compared	compare	VERB
cana-2346	34	9	conventional	conventional	ADJ
cana-2346	34	10	methods	method	NOUN
cana-2346	34	11	of	of	ADP
cana-2346	34	12	recommending	recommend	VERB
cana-2346	34	13	crops	crop	NOUN
cana-2346	34	14	to	to	ADP
cana-2346	34	15	using	use	VERB
cana-2346	34	16	machine	machine	NOUN
cana-2346	34	17	learning	learning	NOUN
cana-2346	34	18	techniques	technique	NOUN
cana-2346	34	19	.	.	PUNCT
cana-2346	35	1	they	they	PRON
cana-2346	35	2	examined	examine	VERB
cana-2346	35	3	the	the	DET
cana-2346	35	4	drawbacks	drawback	NOUN
cana-2346	35	5	of	of	ADP
cana-2346	35	6	rule	rule	NOUN
cana-2346	35	7	-	-	PUNCT
cana-2346	35	8	based	base	VERB
cana-2346	35	9	systems	system	NOUN
cana-2346	35	10	and	and	CCONJ
cana-2346	35	11	supported	support	VERB
cana-2346	35	12	using	use	VERB
cana-2346	35	13	data	data	NOUN
cana-2346	35	14	-	-	PUNCT
cana-2346	35	15	driven	drive	VERB
cana-2346	35	16	methods	method	NOUN
cana-2346	35	17	for	for	ADP
cana-2346	35	18	improved	improved	ADJ
cana-2346	35	19	personalized	personalized	ADJ
cana-2346	35	20	recommendations	recommendation	NOUN
cana-2346	35	21	.	.	PUNCT
cana-2346	36	1	the	the	DET
cana-2346	36	2	article	article	NOUN
cana-2346	36	3	highlighted	highlight	VERB
cana-2346	36	4	the	the	DET
cana-2346	36	5	importance	importance	NOUN
cana-2346	36	6	of	of	ADP
cana-2346	36	7	scalable	scalable	ADJ
cana-2346	36	8	and	and	CCONJ
cana-2346	36	9	flexible	flexible	ADJ
cana-2346	36	10	models	model	NOUN
cana-2346	36	11	that	that	PRON
cana-2346	36	12	can	can	AUX
cana-2346	36	13	consider	consider	VERB
cana-2346	36	14	different	different	ADJ
cana-2346	36	15	factors	factor	NOUN
cana-2346	36	16	affecting	affect	VERB
cana-2346	36	17	plant	plant	NOUN
cana-2346	36	18	growth	growth	NOUN
cana-2346	36	19	and	and	CCONJ
cana-2346	36	20	harvest	harvest	NOUN
cana-2346	36	21	.	.	PUNCT
cana-2346	37	1	additionally	additionally	ADV
cana-2346	37	2	,	,	PUNCT
cana-2346	37	3	it	it	PRON
cana-2346	37	4	explored	explore	VERB
cana-2346	37	5	how	how	SCONJ
cana-2346	37	6	machine	machine	NOUN
cana-2346	37	7	learning	learn	VERB
cana-2346	37	8	algorithms	algorithm	NOUN
cana-2346	37	9	could	could	AUX
cana-2346	37	10	enhance	enhance	VERB
cana-2346	37	11	recommendation	recommendation	NOUN
cana-2346	37	12	accuracy	accuracy	NOUN
cana-2346	37	13	by	by	ADP
cana-2346	37	14	continually	continually	ADV
cana-2346	37	15	learning	learn	VERB
cana-2346	37	16	from	from	ADP
cana-2346	37	17	incoming	incoming	ADJ
cana-2346	37	18	data	datum	NOUN
cana-2346	37	19	.	.	PUNCT
cana-2346	38	1	patel	patel	PROPN
cana-2346	38	2	et	et	PROPN
cana-2346	38	3	al	al	PROPN
cana-2346	38	4	.	.	PROPN
cana-2346	38	5	,	,	PUNCT
cana-2346	39	1	[	[	X
cana-2346	39	2	11	11	NUM
cana-2346	39	3	]	]	PUNCT
cana-2346	39	4	examined	examine	VERB
cana-2346	39	5	how	how	SCONJ
cana-2346	39	6	environmental	environmental	ADJ
cana-2346	39	7	factors	factor	NOUN
cana-2346	39	8	impact	impact	VERB
cana-2346	39	9	crop	crop	NOUN
cana-2346	39	10	recommendation	recommendation	NOUN
cana-2346	39	11	and	and	CCONJ
cana-2346	39	12	examined	examine	VERB
cana-2346	39	13	past	past	ADP
cana-2346	39	14	studies	study	NOUN
cana-2346	39	15	on	on	ADP
cana-2346	39	16	incorporating	incorporate	VERB
cana-2346	39	17	them	they	PRON
cana-2346	39	18	into	into	ADP
cana-2346	39	19	machine	machine	NOUN
cana-2346	39	20	learning	learning	NOUN
cana-2346	39	21	models	model	NOUN
cana-2346	39	22	.	.	PUNCT
cana-2346	40	1	the	the	DET
cana-2346	40	2	conversation	conversation	NOUN
cana-2346	40	3	focused	focus	VERB
cana-2346	40	4	on	on	ADP
cana-2346	40	5	the	the	DET
cana-2346	40	6	effects	effect	NOUN
cana-2346	40	7	of	of	ADP
cana-2346	40	8	temperature	temperature	NOUN
cana-2346	40	9	,	,	PUNCT
cana-2346	40	10	humidity	humidity	NOUN
cana-2346	40	11	,	,	PUNCT
cana-2346	40	12	ph	ph	NOUN
cana-2346	40	13	,	,	PUNCT
cana-2346	40	14	and	and	CCONJ
cana-2346	40	15	rainfall	rainfall	NOUN
cana-2346	40	16	on	on	ADP
cana-2346	40	17	crop	crop	NOUN
cana-2346	40	18	growth	growth	NOUN
cana-2346	40	19	and	and	CCONJ
cana-2346	40	20	productivity	productivity	NOUN
cana-2346	40	21	.	.	PUNCT
cana-2346	41	1	the	the	DET
cana-2346	41	2	article	article	NOUN
cana-2346	41	3	focused	focus	VERB
cana-2346	41	4	on	on	ADP
cana-2346	41	5	the	the	DET
cana-2346	41	6	difficulties	difficulty	NOUN
cana-2346	41	7	of	of	ADP
cana-2346	41	8	simulating	simulate	VERB
cana-2346	41	9	intricate	intricate	ADJ
cana-2346	41	10	environmental	environmental	ADJ
cana-2346	41	11	relationships	relationship	NOUN
cana-2346	41	12	and	and	CCONJ
cana-2346	41	13	suggested	suggest	VERB
cana-2346	41	14	methods	method	NOUN
cana-2346	41	15	for	for	ADP
cana-2346	41	16	integrating	integrate	VERB
cana-2346	41	17	expertise	expertise	NOUN
cana-2346	41	18	into	into	ADP
cana-2346	41	19	forecasting	forecasting	NOUN
cana-2346	41	20	models	model	NOUN
cana-2346	41	21	.	.	PUNCT
cana-2346	42	1	moreover	moreover	ADV
cana-2346	42	2	,	,	PUNCT
cana-2346	42	3	it	it	PRON
cana-2346	42	4	highlighted	highlight	VERB
cana-2346	42	5	the	the	DET
cana-2346	42	6	significance	significance	NOUN
cana-2346	42	7	of	of	ADP
cana-2346	42	8	collecting	collect	VERB
cana-2346	42	9	and	and	CCONJ
cana-2346	42	10	analyzing	analyze	VERB
cana-2346	42	11	data	datum	NOUN
cana-2346	42	12	in	in	ADP
cana-2346	42	13	real	real	ADJ
cana-2346	42	14	-	-	PUNCT
cana-2346	42	15	time	time	NOUN
cana-2346	42	16	to	to	PART
cana-2346	42	17	provide	provide	VERB
cana-2346	42	18	prompt	prompt	ADJ
cana-2346	42	19	crop	crop	NOUN
cana-2346	42	20	advice	advice	NOUN
cana-2346	42	21	.	.	PUNCT
cana-2346	43	1	wang	wang	PROPN
cana-2346	43	2	and	and	CCONJ
cana-2346	43	3	colleagues	colleague	NOUN
cana-2346	43	4	[	[	X
cana-2346	43	5	12	12	NUM
cana-2346	43	6	]	]	PUNCT
cana-2346	43	7	reviewed	review	VERB
cana-2346	43	8	the	the	DET
cana-2346	43	9	latest	late	ADJ
cana-2346	43	10	developments	development	NOUN
cana-2346	43	11	in	in	ADP
cana-2346	43	12	predictive	predictive	ADJ
cana-2346	43	13	modeling	modeling	NOUN
cana-2346	43	14	methods	method	NOUN
cana-2346	43	15	for	for	ADP
cana-2346	43	16	crop	crop	NOUN
cana-2346	43	17	selection	selection	NOUN
cana-2346	43	18	.	.	PUNCT
cana-2346	44	1	they	they	PRON
cana-2346	44	2	talked	talk	VERB
cana-2346	44	3	about	about	ADP
cana-2346	44	4	how	how	SCONJ
cana-2346	44	5	machine	machine	NOUN
cana-2346	44	6	learning	learn	VERB
cana-2346	44	7	algorithms	algorithm	NOUN
cana-2346	44	8	have	have	AUX
cana-2346	44	9	evolved	evolve	VERB
cana-2346	44	10	from	from	ADP
cana-2346	44	11	conventional	conventional	ADJ
cana-2346	44	12	statistical	statistical	ADJ
cana-2346	44	13	techniques	technique	NOUN
cana-2346	44	14	to	to	PART
cana-2346	44	15	advanced	advanced	ADJ
cana-2346	44	16	deep	deep	ADJ
cana-2346	44	17	learning	learning	NOUN
cana-2346	44	18	architectures	architecture	NOUN
cana-2346	44	19	.	.	PUNCT
cana-2346	45	1	the	the	DET
cana-2346	45	2	article	article	NOUN
cana-2346	45	3	offered	offer	VERB
cana-2346	45	4	information	information	NOUN
cana-2346	45	5	on	on	ADP
cana-2346	45	6	how	how	SCONJ
cana-2346	45	7	convolutional	convolutional	ADJ
cana-2346	45	8	neural	neural	ADJ
cana-2346	45	9	networks	network	NOUN
cana-2346	45	10	(	(	PUNCT
cana-2346	45	11	cnns	cnns	PROPN
cana-2346	45	12	)	)	PUNCT
cana-2346	45	13	and	and	CCONJ
cana-2346	45	14	recurrent	recurrent	ADJ
cana-2346	45	15	neural	neural	ADJ
cana-2346	45	16	networks	network	NOUN
cana-2346	45	17	(	(	PUNCT
cana-2346	45	18	rnns	rnns	PROPN
cana-2346	45	19	)	)	PUNCT
cana-2346	45	20	can	can	AUX
cana-2346	45	21	be	be	AUX
cana-2346	45	22	used	use	VERB
cana-2346	45	23	to	to	PART
cana-2346	45	24	analyze	analyze	VERB
cana-2346	45	25	multi	multi	ADJ
cana-2346	45	26	-	-	ADJ
cana-2346	45	27	dimensional	dimensional	ADJ
cana-2346	45	28	agricultural	agricultural	ADJ
cana-2346	45	29	data	datum	NOUN
cana-2346	45	30	.	.	PUNCT
cana-2346	46	1	furthermore	furthermore	ADV
cana-2346	46	2	,	,	PUNCT
cana-2346	46	3	it	it	PRON
cana-2346	46	4	emphasized	emphasize	VERB
cana-2346	46	5	how	how	SCONJ
cana-2346	46	6	reinforcement	reinforcement	NOUN
cana-2346	46	7	learning	learning	NOUN
cana-2346	46	8	algorithms	algorithm	NOUN
cana-2346	46	9	could	could	AUX
cana-2346	46	10	enhance	enhance	VERB
cana-2346	46	11	crop	crop	NOUN
cana-2346	46	12	management	management	NOUN
cana-2346	46	13	strategies	strategy	NOUN
cana-2346	46	14	in	in	ADP
cana-2346	46	15	ever	ever	ADV
cana-2346	46	16	-	-	PUNCT
cana-2346	46	17	changing	change	VERB
cana-2346	46	18	environments	environment	NOUN
cana-2346	46	19	.	.	PUNCT
cana-2346	47	1	in	in	ADP
cana-2346	47	2	their	their	PRON
cana-2346	47	3	study	study	NOUN
cana-2346	47	4	,	,	PUNCT
cana-2346	47	5	kumar	kumar	PROPN
cana-2346	47	6	et	et	PROPN
cana-2346	47	7	al	al	PROPN
cana-2346	47	8	.	.	PUNCT
cana-2346	48	1	[	[	X
cana-2346	48	2	13	13	NUM
cana-2346	48	3	]	]	PUNCT
cana-2346	48	4	outlined	outline	VERB
cana-2346	48	5	various	various	ADJ
cana-2346	48	6	data	datum	NOUN
cana-2346	48	7	mining	mining	NOUN
cana-2346	48	8	methods	method	NOUN
cana-2346	48	9	for	for	ADP
cana-2346	48	10	crop	crop	NOUN
cana-2346	48	11	suggestion	suggestion	NOUN
cana-2346	48	12	,	,	PUNCT
cana-2346	48	13	such	such	ADJ
cana-2346	48	14	as	as	ADP
cana-2346	48	15	association	association	NOUN
cana-2346	48	16	rule	rule	NOUN
cana-2346	48	17	mining	mining	NOUN
cana-2346	48	18	and	and	CCONJ
cana-2346	48	19	clustering	clustering	NOUN
cana-2346	48	20	.	.	PUNCT
cana-2346	49	1	the	the	DET
cana-2346	49	2	conversation	conversation	NOUN
cana-2346	49	3	revolved	revolve	VERB
cana-2346	49	4	around	around	ADP
cana-2346	49	5	the	the	DET
cana-2346	49	6	ways	way	NOUN
cana-2346	49	7	in	in	ADP
cana-2346	49	8	which	which	PRON
cana-2346	49	9	these	these	DET
cana-2346	49	10	strategies	strategy	NOUN
cana-2346	49	11	assist	assist	VERB
cana-2346	49	12	in	in	ADP
cana-2346	49	13	communications	communication	NOUN
cana-2346	49	14	on	on	ADP
cana-2346	49	15	applied	apply	VERB
cana-2346	49	16	nonlinear	nonlinear	ADJ
cana-2346	49	17	analysis	analysis	NOUN
cana-2346	49	18	issn	issn	NOUN
cana-2346	49	19	:	:	PUNCT
cana-2346	49	20	1074	1074	NUM
cana-2346	49	21	-	-	PUNCT
cana-2346	49	22	133x	133x	NUM
cana-2346	49	23	vol	vol	NOUN
cana-2346	49	24	32	32	NUM
cana-2346	49	25	no	no	NOUN
cana-2346	49	26	.	.	PUNCT
cana-2346	50	1	1s	1s	NUM
cana-2346	50	2	(	(	PUNCT
cana-2346	50	3	2025	2025	NUM
cana-2346	50	4	)	)	PUNCT
cana-2346	50	5	587	587	NUM
cana-2346	50	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	50	7	recognizing	recognize	VERB
cana-2346	50	8	patterns	pattern	NOUN
cana-2346	50	9	and	and	CCONJ
cana-2346	50	10	connections	connection	NOUN
cana-2346	50	11	in	in	ADP
cana-2346	50	12	agricultural	agricultural	ADJ
cana-2346	50	13	data	datum	NOUN
cana-2346	50	14	,	,	PUNCT
cana-2346	50	15	aiding	aid	VERB
cana-2346	50	16	farmers	farmer	NOUN
cana-2346	50	17	in	in	ADP
cana-2346	50	18	making	make	VERB
cana-2346	50	19	well	well	ADV
cana-2346	50	20	-	-	PUNCT
cana-2346	50	21	informed	inform	VERB
cana-2346	50	22	decisions	decision	NOUN
cana-2346	50	23	.	.	PUNCT
cana-2346	51	1	the	the	DET
cana-2346	51	2	article	article	NOUN
cana-2346	51	3	highlighted	highlight	VERB
cana-2346	51	4	the	the	DET
cana-2346	51	5	significance	significance	NOUN
cana-2346	51	6	of	of	ADP
cana-2346	51	7	preprocessing	preprocesse	VERB
cana-2346	51	8	techniques	technique	NOUN
cana-2346	51	9	like	like	ADP
cana-2346	51	10	data	datum	NOUN
cana-2346	51	11	cleaning	cleaning	NOUN
cana-2346	51	12	and	and	CCONJ
cana-2346	51	13	normalization	normalization	NOUN
cana-2346	51	14	in	in	ADP
cana-2346	51	15	guaranteeing	guarantee	VERB
cana-2346	51	16	the	the	DET
cana-2346	51	17	input	input	NOUN
cana-2346	51	18	data	datum	NOUN
cana-2346	51	19	quality	quality	NOUN
cana-2346	51	20	for	for	ADP
cana-2346	51	21	machine	machine	NOUN
cana-2346	51	22	learning	learning	NOUN
cana-2346	51	23	models	model	NOUN
cana-2346	51	24	.	.	PUNCT
cana-2346	52	1	additionally	additionally	ADV
cana-2346	52	2	,	,	PUNCT
cana-2346	52	3	it	it	PRON
cana-2346	52	4	emphasized	emphasize	VERB
cana-2346	52	5	the	the	DET
cana-2346	52	6	importance	importance	NOUN
cana-2346	52	7	of	of	ADP
cana-2346	52	8	easy	easy	ADJ
cana-2346	52	9	-	-	PUNCT
cana-2346	52	10	to	to	ADP
cana-2346	52	11	-	-	PUNCT
cana-2346	52	12	use	use	NOUN
cana-2346	52	13	interfaces	interface	NOUN
cana-2346	52	14	and	and	CCONJ
cana-2346	52	15	visualization	visualization	NOUN
cana-2346	52	16	tools	tool	NOUN
cana-2346	52	17	for	for	ADP
cana-2346	52	18	facilitating	facilitate	VERB
cana-2346	52	19	smooth	smooth	ADJ
cana-2346	52	20	communication	communication	NOUN
cana-2346	52	21	between	between	ADP
cana-2346	52	22	farmers	farmer	NOUN
cana-2346	52	23	and	and	CCONJ
cana-2346	52	24	recommendation	recommendation	NOUN
cana-2346	52	25	systems	system	NOUN
cana-2346	52	26	.	.	PUNCT
cana-2346	53	1	li	li	PROPN
cana-2346	53	2	et	et	PROPN
cana-2346	53	3	al	al	PROPN
cana-2346	53	4	.	.	PROPN
cana-2346	53	5	,	,	PUNCT
cana-2346	54	1	[	[	X
cana-2346	54	2	14	14	NUM
cana-2346	54	3	]	]	PUNCT
cana-2346	54	4	investigated	investigate	VERB
cana-2346	54	5	combining	combine	VERB
cana-2346	54	6	remote	remote	ADJ
cana-2346	54	7	sensing	sense	VERB
cana-2346	54	8	information	information	NOUN
cana-2346	54	9	with	with	ADP
cana-2346	54	10	machine	machine	NOUN
cana-2346	54	11	learning	learn	VERB
cana-2346	54	12	algorithms	algorithm	NOUN
cana-2346	54	13	to	to	PART
cana-2346	54	14	make	make	VERB
cana-2346	54	15	crop	crop	NOUN
cana-2346	54	16	suggestions	suggestion	NOUN
cana-2346	54	17	.	.	PUNCT
cana-2346	55	1	they	they	PRON
cana-2346	55	2	talked	talk	VERB
cana-2346	55	3	about	about	ADP
cana-2346	55	4	the	the	DET
cana-2346	55	5	valuable	valuable	ADJ
cana-2346	55	6	insights	insight	NOUN
cana-2346	55	7	on	on	ADP
cana-2346	55	8	crop	crop	NOUN
cana-2346	55	9	health	health	NOUN
cana-2346	55	10	,	,	PUNCT
cana-2346	55	11	nutrient	nutrient	NOUN
cana-2346	55	12	levels	level	NOUN
cana-2346	55	13	,	,	PUNCT
cana-2346	55	14	and	and	CCONJ
cana-2346	55	15	pest	pest	VERB
cana-2346	55	16	infestations	infestation	NOUN
cana-2346	55	17	that	that	PRON
cana-2346	55	18	satellite	satellite	NOUN
cana-2346	55	19	imagery	imagery	NOUN
cana-2346	55	20	and	and	CCONJ
cana-2346	55	21	aerial	aerial	ADJ
cana-2346	55	22	surveys	survey	NOUN
cana-2346	55	23	offer	offer	VERB
cana-2346	55	24	.	.	PUNCT
cana-2346	56	1	the	the	DET
cana-2346	56	2	article	article	NOUN
cana-2346	56	3	showcased	showcase	VERB
cana-2346	56	4	how	how	SCONJ
cana-2346	56	5	image	image	NOUN
cana-2346	56	6	processing	processing	NOUN
cana-2346	56	7	methods	method	NOUN
cana-2346	56	8	and	and	CCONJ
cana-2346	56	9	feature	feature	NOUN
cana-2346	56	10	extraction	extraction	NOUN
cana-2346	56	11	techniques	technique	NOUN
cana-2346	56	12	are	be	AUX
cana-2346	56	13	utilized	utilize	VERB
cana-2346	56	14	to	to	PART
cana-2346	56	15	generate	generate	VERB
cana-2346	56	16	valuable	valuable	ADJ
cana-2346	56	17	information	information	NOUN
cana-2346	56	18	from	from	ADP
cana-2346	56	19	extensive	extensive	ADJ
cana-2346	56	20	agricultural	agricultural	ADJ
cana-2346	56	21	data	datum	NOUN
cana-2346	56	22	.	.	PUNCT
cana-2346	57	1	furthermore	furthermore	ADV
cana-2346	57	2	,	,	PUNCT
cana-2346	57	3	it	it	PRON
cana-2346	57	4	highlighted	highlight	VERB
cana-2346	57	5	the	the	DET
cana-2346	57	6	capabilities	capability	NOUN
cana-2346	57	7	of	of	ADP
cana-2346	57	8	deep	deep	ADJ
cana-2346	57	9	learning	learning	NOUN
cana-2346	57	10	techniques	technique	NOUN
cana-2346	57	11	like	like	ADP
cana-2346	57	12	cnns	cnn	NOUN
cana-2346	57	13	in	in	ADP
cana-2346	57	14	analyzing	analyze	VERB
cana-2346	57	15	remote	remote	ADJ
cana-2346	57	16	sensing	sense	VERB
cana-2346	57	17	information	information	NOUN
cana-2346	57	18	and	and	CCONJ
cana-2346	57	19	forecasting	forecasting	NOUN
cana-2346	57	20	crop	crop	NOUN
cana-2346	57	21	yields	yield	NOUN
cana-2346	57	22	accurately	accurately	ADV
cana-2346	57	23	.	.	PUNCT
cana-2346	58	1	in	in	ADP
cana-2346	58	2	their	their	PRON
cana-2346	58	3	study	study	NOUN
cana-2346	58	4	,	,	PUNCT
cana-2346	58	5	akkem	akkem	PROPN
cana-2346	58	6	et	et	PROPN
cana-2346	58	7	al	al	PROPN
cana-2346	58	8	.	.	PUNCT
cana-2346	59	1	[	[	X
cana-2346	59	2	15	15	NUM
cana-2346	59	3	]	]	PUNCT
cana-2346	59	4	examined	examine	VERB
cana-2346	59	5	how	how	SCONJ
cana-2346	59	6	ensemble	ensemble	ADJ
cana-2346	59	7	learning	learning	NOUN
cana-2346	59	8	techniques	technique	NOUN
cana-2346	59	9	were	be	AUX
cana-2346	59	10	used	use	VERB
cana-2346	59	11	in	in	ADP
cana-2346	59	12	recommending	recommend	VERB
cana-2346	59	13	crops	crop	NOUN
cana-2346	59	14	.	.	PUNCT
cana-2346	60	1	they	they	PRON
cana-2346	60	2	talked	talk	VERB
cana-2346	60	3	about	about	ADP
cana-2346	60	4	how	how	SCONJ
cana-2346	60	5	ensemble	ensemble	ADJ
cana-2346	60	6	techniques	technique	NOUN
cana-2346	60	7	involve	involve	VERB
cana-2346	60	8	bringing	bring	VERB
cana-2346	60	9	together	together	ADV
cana-2346	60	10	various	various	ADJ
cana-2346	60	11	base	base	NOUN
cana-2346	60	12	models	model	NOUN
cana-2346	60	13	to	to	PART
cana-2346	60	14	enhance	enhance	VERB
cana-2346	60	15	prediction	prediction	NOUN
cana-2346	60	16	accuracy	accuracy	NOUN
cana-2346	60	17	and	and	CCONJ
cana-2346	60	18	resilience	resilience	NOUN
cana-2346	60	19	.	.	PUNCT
cana-2346	61	1	the	the	DET
cana-2346	61	2	paper	paper	NOUN
cana-2346	61	3	investigated	investigate	VERB
cana-2346	61	4	the	the	DET
cana-2346	61	5	use	use	NOUN
cana-2346	61	6	of	of	ADP
cana-2346	61	7	ensemble	ensemble	ADJ
cana-2346	61	8	methods	method	NOUN
cana-2346	61	9	like	like	ADP
cana-2346	61	10	bagging	bagging	NOUN
cana-2346	61	11	,	,	PUNCT
cana-2346	61	12	boosting	boost	VERB
cana-2346	61	13	,	,	PUNCT
cana-2346	61	14	and	and	CCONJ
cana-2346	61	15	stacking	stack	VERB
cana-2346	61	16	in	in	ADP
cana-2346	61	17	making	make	VERB
cana-2346	61	18	decisions	decision	NOUN
cana-2346	61	19	in	in	ADP
cana-2346	61	20	agriculture	agriculture	NOUN
cana-2346	61	21	.	.	PUNCT
cana-2346	62	1	moreover	moreover	ADV
cana-2346	62	2	,	,	PUNCT
cana-2346	62	3	it	it	PRON
cana-2346	62	4	underscored	underscore	VERB
cana-2346	62	5	the	the	DET
cana-2346	62	6	significance	significance	NOUN
cana-2346	62	7	of	of	ADP
cana-2346	62	8	utilizing	utilize	VERB
cana-2346	62	9	various	various	ADJ
cana-2346	62	10	models	model	NOUN
cana-2346	62	11	and	and	CCONJ
cana-2346	62	12	diverse	diverse	ADJ
cana-2346	62	13	data	datum	NOUN
cana-2346	62	14	in	in	ADP
cana-2346	62	15	constructing	construct	VERB
cana-2346	62	16	successful	successful	ADJ
cana-2346	62	17	ensemble	ensemble	ADJ
cana-2346	62	18	systems	system	NOUN
cana-2346	62	19	for	for	ADP
cana-2346	62	20	crop	crop	NOUN
cana-2346	62	21	suggestion	suggestion	NOUN
cana-2346	62	22	.	.	PUNCT
cana-2346	63	1	in	in	ADP
cana-2346	63	2	their	their	PRON
cana-2346	63	3	study	study	NOUN
cana-2346	63	4	,	,	PUNCT
cana-2346	63	5	zhang	zhang	PROPN
cana-2346	63	6	and	and	CCONJ
cana-2346	63	7	colleagues[16	colleagues[16	PROPN
cana-2346	63	8	]	]	PUNCT
cana-2346	63	9	explored	explore	VERB
cana-2346	63	10	the	the	DET
cana-2346	63	11	application	application	NOUN
cana-2346	63	12	of	of	ADP
cana-2346	63	13	genetic	genetic	ADJ
cana-2346	63	14	algorithms	algorithm	NOUN
cana-2346	63	15	(	(	PUNCT
cana-2346	63	16	gas	gas	NOUN
cana-2346	63	17	)	)	PUNCT
cana-2346	63	18	in	in	ADP
cana-2346	63	19	improving	improve	VERB
cana-2346	63	20	crop	crop	NOUN
cana-2346	63	21	recommendation	recommendation	NOUN
cana-2346	63	22	systems	system	NOUN
cana-2346	63	23	.	.	PUNCT
cana-2346	64	1	they	they	PRON
cana-2346	64	2	talked	talk	VERB
cana-2346	64	3	about	about	ADP
cana-2346	64	4	how	how	SCONJ
cana-2346	64	5	genetic	genetic	ADJ
cana-2346	64	6	algorithms	algorithm	NOUN
cana-2346	64	7	emulate	emulate	VERB
cana-2346	64	8	evolutionary	evolutionary	ADJ
cana-2346	64	9	processes	process	NOUN
cana-2346	64	10	in	in	ADP
cana-2346	64	11	order	order	NOUN
cana-2346	64	12	to	to	PART
cana-2346	64	13	explore	explore	VERB
cana-2346	64	14	for	for	ADP
cana-2346	64	15	the	the	DET
cana-2346	64	16	best	good	ADJ
cana-2346	64	17	solutions	solution	NOUN
cana-2346	64	18	in	in	ADP
cana-2346	64	19	complicated	complicated	ADJ
cana-2346	64	20	problem	problem	NOUN
cana-2346	64	21	areas	area	NOUN
cana-2346	64	22	.	.	PUNCT
cana-2346	65	1	the	the	DET
cana-2346	65	2	article	article	NOUN
cana-2346	65	3	investigated	investigate	VERB
cana-2346	65	4	the	the	DET
cana-2346	65	5	application	application	NOUN
cana-2346	65	6	of	of	ADP
cana-2346	65	7	genetic	genetic	ADJ
cana-2346	65	8	algorithms	algorithm	NOUN
cana-2346	65	9	(	(	PUNCT
cana-2346	65	10	gas	gas	NOUN
cana-2346	65	11	)	)	PUNCT
cana-2346	65	12	in	in	ADP
cana-2346	65	13	feature	feature	NOUN
cana-2346	65	14	selection	selection	NOUN
cana-2346	65	15	,	,	PUNCT
cana-2346	65	16	hyperparameter	hyperparameter	NOUN
cana-2346	65	17	tuning	tuning	NOUN
cana-2346	65	18	,	,	PUNCT
cana-2346	65	19	and	and	CCONJ
cana-2346	65	20	model	model	NOUN
cana-2346	65	21	optimization	optimization	NOUN
cana-2346	65	22	within	within	ADP
cana-2346	65	23	crop	crop	NOUN
cana-2346	65	24	recommendation	recommendation	NOUN
cana-2346	65	25	models	model	NOUN
cana-2346	65	26	.	.	PUNCT
cana-2346	66	1	it	it	PRON
cana-2346	66	2	also	also	ADV
cana-2346	66	3	emphasized	emphasize	VERB
cana-2346	66	4	the	the	DET
cana-2346	66	5	difficulties	difficulty	NOUN
cana-2346	66	6	of	of	ADP
cana-2346	66	7	adjusting	adjust	VERB
cana-2346	66	8	parameters	parameter	NOUN
cana-2346	66	9	and	and	CCONJ
cana-2346	66	10	initializing	initialize	VERB
cana-2346	66	11	populations	population	NOUN
cana-2346	66	12	in	in	ADP
cana-2346	66	13	genetic	genetic	ADJ
cana-2346	66	14	algorithms	algorithm	NOUN
cana-2346	66	15	,	,	PUNCT
cana-2346	66	16	and	and	CCONJ
cana-2346	66	17	suggested	suggest	VERB
cana-2346	66	18	ways	way	NOUN
cana-2346	66	19	to	to	PART
cana-2346	66	20	address	address	VERB
cana-2346	66	21	these	these	DET
cana-2346	66	22	constraints	constraint	NOUN
cana-2346	66	23	in	in	ADP
cana-2346	66	24	agricultural	agricultural	ADJ
cana-2346	66	25	use	use	NOUN
cana-2346	66	26	.	.	PUNCT
cana-2346	67	1	in	in	ADP
cana-2346	67	2	their	their	PRON
cana-2346	67	3	study	study	NOUN
cana-2346	67	4	,	,	PUNCT
cana-2346	67	5	supriya	supriya	PROPN
cana-2346	67	6	and	and	CCONJ
cana-2346	67	7	colleagues	colleague	NOUN
cana-2346	67	8	[	[	X
cana-2346	67	9	17	17	NUM
cana-2346	67	10	]	]	PUNCT
cana-2346	67	11	examined	examine	VERB
cana-2346	67	12	how	how	SCONJ
cana-2346	67	13	iot	iot	ADJ
cana-2346	67	14	technology	technology	NOUN
cana-2346	67	15	is	be	AUX
cana-2346	67	16	utilized	utilize	VERB
cana-2346	67	17	in	in	ADP
cana-2346	67	18	crop	crop	NOUN
cana-2346	67	19	recommendation	recommendation	NOUN
cana-2346	67	20	systems	system	NOUN
cana-2346	67	21	.	.	PUNCT
cana-2346	68	1	they	they	PRON
cana-2346	68	2	talked	talk	VERB
cana-2346	68	3	about	about	ADP
cana-2346	68	4	how	how	SCONJ
cana-2346	68	5	sensors	sensor	NOUN
cana-2346	68	6	,	,	PUNCT
cana-2346	68	7	drones	drone	NOUN
cana-2346	68	8	,	,	PUNCT
cana-2346	68	9	and	and	CCONJ
cana-2346	68	10	automated	automate	VERB
cana-2346	68	11	machinery	machinery	NOUN
cana-2346	68	12	gather	gather	VERB
cana-2346	68	13	up	up	ADP
cana-2346	68	14	-	-	PUNCT
cana-2346	68	15	to	to	ADP
cana-2346	68	16	-	-	PUNCT
cana-2346	68	17	date	date	NOUN
cana-2346	68	18	information	information	NOUN
cana-2346	68	19	on	on	ADP
cana-2346	68	20	soil	soil	NOUN
cana-2346	68	21	moisture	moisture	NOUN
cana-2346	68	22	,	,	PUNCT
cana-2346	68	23	temperature	temperature	NOUN
cana-2346	68	24	,	,	PUNCT
cana-2346	68	25	and	and	CCONJ
cana-2346	68	26	crop	crop	NOUN
cana-2346	68	27	health	health	NOUN
cana-2346	68	28	in	in	ADP
cana-2346	68	29	real	real	ADJ
cana-2346	68	30	-	-	PUNCT
cana-2346	68	31	time	time	NOUN
cana-2346	68	32	.	.	PUNCT
cana-2346	69	1	the	the	DET
cana-2346	69	2	article	article	NOUN
cana-2346	69	3	examined	examine	VERB
cana-2346	69	4	ways	way	NOUN
cana-2346	69	5	to	to	PART
cana-2346	69	6	combine	combine	VERB
cana-2346	69	7	this	this	DET
cana-2346	69	8	data	datum	NOUN
cana-2346	69	9	with	with	ADP
cana-2346	69	10	machine	machine	NOUN
cana-2346	69	11	learning	learning	NOUN
cana-2346	69	12	models	model	NOUN
cana-2346	69	13	in	in	ADP
cana-2346	69	14	order	order	NOUN
cana-2346	69	15	to	to	PART
cana-2346	69	16	give	give	VERB
cana-2346	69	17	farmers	farmer	NOUN
cana-2346	69	18	timely	timely	ADJ
cana-2346	69	19	and	and	CCONJ
cana-2346	69	20	precise	precise	ADJ
cana-2346	69	21	suggestions	suggestion	NOUN
cana-2346	69	22	.	.	PUNCT
cana-2346	70	1	furthermore	furthermore	ADV
cana-2346	70	2	,	,	PUNCT
cana-2346	70	3	it	it	PRON
cana-2346	70	4	emphasized	emphasize	VERB
cana-2346	70	5	the	the	DET
cana-2346	70	6	possibility	possibility	NOUN
cana-2346	70	7	of	of	ADP
cana-2346	70	8	utilizing	utilize	VERB
cana-2346	70	9	edge	edge	NOUN
cana-2346	70	10	computing	computing	NOUN
cana-2346	70	11	and	and	CCONJ
cana-2346	70	12	cloud	cloud	NOUN
cana-2346	70	13	-	-	PUNCT
cana-2346	70	14	based	base	VERB
cana-2346	70	15	analytics	analytic	NOUN
cana-2346	70	16	platforms	platform	NOUN
cana-2346	70	17	for	for	ADP
cana-2346	70	18	the	the	DET
cana-2346	70	19	processing	processing	NOUN
cana-2346	70	20	and	and	CCONJ
cana-2346	70	21	analysis	analysis	NOUN
cana-2346	70	22	of	of	ADP
cana-2346	70	23	iot	iot	ADJ
cana-2346	70	24	data	datum	NOUN
cana-2346	70	25	in	in	ADP
cana-2346	70	26	agricultural	agricultural	ADJ
cana-2346	70	27	environments	environment	NOUN
cana-2346	70	28	.	.	PUNCT
cana-2346	71	1	gautron	gautron	NOUN
cana-2346	71	2	et	et	PROPN
cana-2346	71	3	al	al	PROPN
cana-2346	71	4	.	.	PROPN
cana-2346	71	5	,	,	PUNCT
cana-2346	72	1	[	[	X
cana-2346	72	2	18	18	NUM
cana-2346	72	3	]	]	PUNCT
cana-2346	72	4	explored	explore	VERB
cana-2346	72	5	the	the	DET
cana-2346	72	6	use	use	NOUN
cana-2346	72	7	of	of	ADP
cana-2346	72	8	reinforcement	reinforcement	NOUN
cana-2346	72	9	learning	learning	NOUN
cana-2346	72	10	(	(	PUNCT
cana-2346	72	11	rl	rl	NOUN
cana-2346	72	12	)	)	PUNCT
cana-2346	72	13	algorithms	algorithm	NOUN
cana-2346	72	14	for	for	ADP
cana-2346	72	15	recommending	recommend	VERB
cana-2346	72	16	crops	crop	NOUN
cana-2346	72	17	based	base	VERB
cana-2346	72	18	on	on	ADP
cana-2346	72	19	dynamic	dynamic	ADJ
cana-2346	72	20	conditions	condition	NOUN
cana-2346	72	21	.	.	PUNCT
cana-2346	73	1	they	they	PRON
cana-2346	73	2	talked	talk	VERB
cana-2346	73	3	about	about	ADP
cana-2346	73	4	how	how	SCONJ
cana-2346	73	5	rl	rl	X
cana-2346	73	6	agents	agent	NOUN
cana-2346	73	7	acquire	acquire	VERB
cana-2346	73	8	optimal	optimal	ADJ
cana-2346	73	9	decision	decision	NOUN
cana-2346	73	10	-	-	PUNCT
cana-2346	73	11	making	making	NOUN
cana-2346	73	12	strategies	strategy	NOUN
cana-2346	73	13	by	by	ADP
cana-2346	73	14	engaging	engage	VERB
cana-2346	73	15	in	in	ADP
cana-2346	73	16	trial	trial	NOUN
cana-2346	73	17	and	and	CCONJ
cana-2346	73	18	error	error	NOUN
cana-2346	73	19	interactions	interaction	NOUN
cana-2346	73	20	with	with	ADP
cana-2346	73	21	the	the	DET
cana-2346	73	22	environment	environment	NOUN
cana-2346	73	23	.	.	PUNCT
cana-2346	74	1	the	the	DET
cana-2346	74	2	research	research	NOUN
cana-2346	74	3	paper	paper	NOUN
cana-2346	74	4	investigated	investigate	VERB
cana-2346	74	5	how	how	SCONJ
cana-2346	74	6	rl	rl	NOUN
cana-2346	74	7	can	can	AUX
cana-2346	74	8	be	be	AUX
cana-2346	74	9	used	use	VERB
cana-2346	74	10	to	to	PART
cana-2346	74	11	improve	improve	VERB
cana-2346	74	12	crop	crop	NOUN
cana-2346	74	13	rotation	rotation	NOUN
cana-2346	74	14	schedules	schedule	NOUN
cana-2346	74	15	,	,	PUNCT
cana-2346	74	16	irrigation	irrigation	NOUN
cana-2346	74	17	tactics	tactic	NOUN
cana-2346	74	18	,	,	PUNCT
cana-2346	74	19	and	and	CCONJ
cana-2346	74	20	pest	pest	VERB
cana-2346	74	21	management	management	NOUN
cana-2346	74	22	techniques	technique	NOUN
cana-2346	74	23	.	.	PUNCT
cana-2346	75	1	furthermore	furthermore	ADV
cana-2346	75	2	,	,	PUNCT
cana-2346	75	3	it	it	PRON
cana-2346	75	4	emphasized	emphasize	VERB
cana-2346	75	5	the	the	DET
cana-2346	75	6	difficulties	difficulty	NOUN
cana-2346	75	7	in	in	ADP
cana-2346	75	8	designing	designing	NOUN
cana-2346	75	9	rewards	reward	NOUN
cana-2346	75	10	and	and	CCONJ
cana-2346	75	11	balancing	balance	VERB
cana-2346	75	12	exploration	exploration	NOUN
cana-2346	75	13	and	and	CCONJ
cana-2346	75	14	exploitation	exploitation	NOUN
cana-2346	75	15	while	while	SCONJ
cana-2346	75	16	using	use	VERB
cana-2346	75	17	rl	rl	PRON
cana-2346	75	18	for	for	ADP
cana-2346	75	19	agricultural	agricultural	ADJ
cana-2346	75	20	decision	decision	NOUN
cana-2346	75	21	-	-	PUNCT
cana-2346	75	22	making	making	NOUN
cana-2346	75	23	.	.	PUNCT
cana-2346	76	1	haider	haider	NOUN
cana-2346	76	2	and	and	CCONJ
cana-2346	76	3	colleagues[19	colleagues[19	PROPN
cana-2346	76	4	]	]	PUNCT
cana-2346	76	5	suggested	suggest	VERB
cana-2346	76	6	a	a	DET
cana-2346	76	7	mixed	mixed	ADJ
cana-2346	76	8	method	method	NOUN
cana-2346	76	9	for	for	ADP
cana-2346	76	10	suggesting	suggest	VERB
cana-2346	76	11	crops	crop	NOUN
cana-2346	76	12	by	by	ADP
cana-2346	76	13	blending	blend	VERB
cana-2346	76	14	machine	machine	NOUN
cana-2346	76	15	learning	learn	VERB
cana-2346	76	16	algorithms	algorithm	NOUN
cana-2346	76	17	with	with	ADP
cana-2346	76	18	expert	expert	ADJ
cana-2346	76	19	knowledge	knowledge	NOUN
cana-2346	76	20	-	-	PUNCT
cana-2346	76	21	based	base	VERB
cana-2346	76	22	systems	system	NOUN
cana-2346	76	23	.	.	PUNCT
cana-2346	77	1	they	they	PRON
cana-2346	77	2	talked	talk	VERB
cana-2346	77	3	about	about	ADP
cana-2346	77	4	how	how	SCONJ
cana-2346	77	5	combining	combine	VERB
cana-2346	77	6	expert	expert	ADJ
cana-2346	77	7	knowledge	knowledge	NOUN
cana-2346	77	8	with	with	ADP
cana-2346	77	9	data	data	NOUN
cana-2346	77	10	-	-	PUNCT
cana-2346	77	11	driven	drive	VERB
cana-2346	77	12	approaches	approach	NOUN
cana-2346	77	13	can	can	AUX
cana-2346	77	14	improve	improve	VERB
cana-2346	77	15	the	the	DET
cana-2346	77	16	accuracy	accuracy	NOUN
cana-2346	77	17	and	and	CCONJ
cana-2346	77	18	interpretation	interpretation	NOUN
cana-2346	77	19	of	of	ADP
cana-2346	77	20	recommendations	recommendation	NOUN
cana-2346	77	21	in	in	ADP
cana-2346	77	22	agriculture	agriculture	NOUN
cana-2346	77	23	.	.	PUNCT
cana-2346	78	1	the	the	DET
cana-2346	78	2	article	article	NOUN
cana-2346	78	3	introduced	introduce	VERB
cana-2346	78	4	a	a	DET
cana-2346	78	5	structure	structure	NOUN
cana-2346	78	6	that	that	PRON
cana-2346	78	7	merges	merge	VERB
cana-2346	78	8	rule	rule	NOUN
cana-2346	78	9	-	-	PUNCT
cana-2346	78	10	based	base	VERB
cana-2346	78	11	logic	logic	NOUN
cana-2346	78	12	with	with	ADP
cana-2346	78	13	machine	machine	NOUN
cana-2346	78	14	learning	learning	NOUN
cana-2346	78	15	models	model	NOUN
cana-2346	78	16	to	to	PART
cana-2346	78	17	utilize	utilize	VERB
cana-2346	78	18	quantitative	quantitative	ADJ
cana-2346	78	19	data	datum	NOUN
cana-2346	78	20	and	and	CCONJ
cana-2346	78	21	expert	expert	ADJ
cana-2346	78	22	knowledge	knowledge	NOUN
cana-2346	78	23	in	in	ADP
cana-2346	78	24	crop	crop	NOUN
cana-2346	78	25	selection	selection	NOUN
cana-2346	78	26	.	.	PUNCT
cana-2346	79	1	moreover	moreover	ADV
cana-2346	79	2	,	,	PUNCT
cana-2346	79	3	it	it	PRON
cana-2346	79	4	highlighted	highlight	VERB
cana-2346	79	5	the	the	DET
cana-2346	79	6	significance	significance	NOUN
cana-2346	79	7	of	of	ADP
cana-2346	79	8	having	have	VERB
cana-2346	79	9	expertise	expertise	NOUN
cana-2346	79	10	in	in	ADP
cana-2346	79	11	a	a	DET
cana-2346	79	12	specific	specific	ADJ
cana-2346	79	13	field	field	NOUN
cana-2346	79	14	when	when	SCONJ
cana-2346	79	15	dealing	deal	VERB
cana-2346	79	16	with	with	ADP
cana-2346	79	17	the	the	DET
cana-2346	79	18	distinctive	distinctive	ADJ
cana-2346	79	19	difficulties	difficulty	NOUN
cana-2346	79	20	of	of	ADP
cana-2346	79	21	making	make	VERB
cana-2346	79	22	decisions	decision	NOUN
cana-2346	79	23	related	relate	VERB
cana-2346	79	24	to	to	ADP
cana-2346	79	25	agriculture	agriculture	NOUN
cana-2346	79	26	.	.	PUNCT
cana-2346	80	1	mishra	mishra	PROPN
cana-2346	80	2	and	and	CCONJ
cana-2346	80	3	colleagues	colleague	NOUN
cana-2346	81	1	[	[	X
cana-2346	81	2	20	20	NUM
cana-2346	81	3	]	]	PUNCT
cana-2346	81	4	studied	study	VERB
cana-2346	81	5	how	how	SCONJ
cana-2346	81	6	multi	multi	ADJ
cana-2346	81	7	-	-	ADJ
cana-2346	81	8	criteria	criterion	NOUN
cana-2346	81	9	decision	decision	NOUN
cana-2346	81	10	-	-	PUNCT
cana-2346	81	11	making	making	NOUN
cana-2346	81	12	(	(	PUNCT
cana-2346	81	13	mcdm	mcdm	ADJ
cana-2346	81	14	)	)	PUNCT
cana-2346	81	15	methods	method	NOUN
cana-2346	81	16	can	can	AUX
cana-2346	81	17	be	be	AUX
cana-2346	81	18	used	use	VERB
cana-2346	81	19	to	to	PART
cana-2346	81	20	recommend	recommend	VERB
cana-2346	81	21	crops	crop	NOUN
cana-2346	81	22	in	in	ADP
cana-2346	81	23	a	a	DET
cana-2346	81	24	variety	variety	NOUN
cana-2346	81	25	of	of	ADP
cana-2346	81	26	agro	agro	ADJ
cana-2346	81	27	-	-	PUNCT
cana-2346	81	28	climatic	climatic	ADJ
cana-2346	81	29	areas	area	NOUN
cana-2346	81	30	.	.	PUNCT
cana-2346	82	1	they	they	PRON
cana-2346	82	2	talked	talk	VERB
cana-2346	82	3	about	about	ADP
cana-2346	82	4	how	how	SCONJ
cana-2346	82	5	mcdm	mcdm	ADJ
cana-2346	82	6	techniques	technique	NOUN
cana-2346	82	7	like	like	ADP
cana-2346	82	8	analytical	analytical	ADJ
cana-2346	82	9	hierarchy	hierarchy	NOUN
cana-2346	82	10	process	process	NOUN
cana-2346	82	11	(	(	PUNCT
cana-2346	82	12	ahp	ahp	NOUN
cana-2346	82	13	)	)	PUNCT
cana-2346	82	14	and	and	CCONJ
cana-2346	82	15	technique	technique	NOUN
cana-2346	82	16	for	for	ADP
cana-2346	82	17	order	order	NOUN
cana-2346	82	18	of	of	ADP
cana-2346	82	19	preference	preference	NOUN
cana-2346	82	20	by	by	ADP
cana-2346	82	21	similarity	similarity	NOUN
cana-2346	82	22	to	to	ADP
cana-2346	82	23	ideal	ideal	ADJ
cana-2346	82	24	solution	solution	NOUN
cana-2346	82	25	communications	communication	NOUN
cana-2346	82	26	on	on	ADP
cana-2346	82	27	applied	apply	VERB
cana-2346	82	28	nonlinear	nonlinear	ADJ
cana-2346	82	29	analysis	analysis	NOUN
cana-2346	82	30	issn	issn	NOUN
cana-2346	82	31	:	:	PUNCT
cana-2346	82	32	1074	1074	NUM
cana-2346	82	33	-	-	PUNCT
cana-2346	82	34	133x	133x	NUM
cana-2346	82	35	vol	vol	NOUN
cana-2346	82	36	32	32	NUM
cana-2346	82	37	no	no	NOUN
cana-2346	82	38	.	.	PUNCT
cana-2346	83	1	1s	1s	NUM
cana-2346	83	2	(	(	PUNCT
cana-2346	83	3	2025	2025	NUM
cana-2346	83	4	)	)	PUNCT
cana-2346	83	5	588	588	NUM
cana-2346	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	83	7	(	(	PUNCT
cana-2346	83	8	topsis	topsis	NOUN
cana-2346	83	9	)	)	PUNCT
cana-2346	83	10	can	can	AUX
cana-2346	83	11	manage	manage	VERB
cana-2346	83	12	various	various	ADJ
cana-2346	83	13	conflicting	conflicting	ADJ
cana-2346	83	14	objectives	objective	NOUN
cana-2346	83	15	and	and	CCONJ
cana-2346	83	16	preferences	preference	NOUN
cana-2346	83	17	when	when	SCONJ
cana-2346	83	18	choosing	choose	VERB
cana-2346	83	19	crops	crop	NOUN
cana-2346	83	20	.	.	PUNCT
cana-2346	84	1	the	the	DET
cana-2346	84	2	article	article	NOUN
cana-2346	84	3	investigated	investigate	VERB
cana-2346	84	4	combining	combine	VERB
cana-2346	84	5	mcdm	mcdm	ADJ
cana-2346	84	6	with	with	ADP
cana-2346	84	7	machine	machine	NOUN
cana-2346	84	8	learning	learning	NOUN
cana-2346	84	9	models	model	NOUN
cana-2346	84	10	to	to	PART
cana-2346	84	11	consider	consider	VERB
cana-2346	84	12	socio	socio	NOUN
cana-2346	84	13	-	-	PUNCT
cana-2346	84	14	economic	economic	ADJ
cana-2346	84	15	factors	factor	NOUN
cana-2346	84	16	,	,	PUNCT
cana-2346	84	17	environmental	environmental	ADJ
cana-2346	84	18	sustainability	sustainability	NOUN
cana-2346	84	19	,	,	PUNCT
cana-2346	84	20	and	and	CCONJ
cana-2346	84	21	farmer	farmer	NOUN
cana-2346	84	22	preferences	preference	NOUN
cana-2346	84	23	in	in	ADP
cana-2346	84	24	decision	decision	NOUN
cana-2346	84	25	-	-	PUNCT
cana-2346	84	26	making	making	NOUN
cana-2346	84	27	.	.	PUNCT
cana-2346	85	1	moreover	moreover	ADV
cana-2346	85	2	,	,	PUNCT
cana-2346	85	3	it	it	PRON
cana-2346	85	4	emphasized	emphasize	VERB
cana-2346	85	5	the	the	DET
cana-2346	85	6	importance	importance	NOUN
cana-2346	85	7	of	of	ADP
cana-2346	85	8	clear	clear	ADJ
cana-2346	85	9	decision	decision	NOUN
cana-2346	85	10	-	-	PUNCT
cana-2346	85	11	making	make	VERB
cana-2346	85	12	frameworks	framework	NOUN
cana-2346	85	13	that	that	PRON
cana-2346	85	14	include	include	VERB
cana-2346	85	15	stakeholders	stakeholder	NOUN
cana-2346	85	16	in	in	ADP
cana-2346	85	17	the	the	DET
cana-2346	85	18	process	process	NOUN
cana-2346	85	19	of	of	ADP
cana-2346	85	20	recommending	recommend	VERB
cana-2346	85	21	crops	crop	NOUN
cana-2346	85	22	.	.	PUNCT
cana-2346	86	1	in	in	ADP
cana-2346	86	2	their	their	PRON
cana-2346	86	3	study	study	NOUN
cana-2346	86	4	,	,	PUNCT
cana-2346	86	5	li	li	PROPN
cana-2346	86	6	and	and	CCONJ
cana-2346	86	7	colleagues[21	colleagues[21	PROPN
cana-2346	86	8	]	]	PUNCT
cana-2346	86	9	introduced	introduce	VERB
cana-2346	86	10	a	a	DET
cana-2346	86	11	method	method	NOUN
cana-2346	86	12	for	for	ADP
cana-2346	86	13	suggesting	suggest	VERB
cana-2346	86	14	crops	crop	NOUN
cana-2346	86	15	using	use	VERB
cana-2346	86	16	geospatial	geospatial	ADJ
cana-2346	86	17	information	information	NOUN
cana-2346	86	18	and	and	CCONJ
cana-2346	86	19	time	time	NOUN
cana-2346	86	20	-	-	PUNCT
cana-2346	86	21	series	series	NOUN
cana-2346	86	22	analysis	analysis	NOUN
cana-2346	86	23	.	.	PUNCT
cana-2346	87	1	they	they	PRON
cana-2346	87	2	talked	talk	VERB
cana-2346	87	3	about	about	ADP
cana-2346	87	4	how	how	SCONJ
cana-2346	87	5	models	model	NOUN
cana-2346	87	6	that	that	PRON
cana-2346	87	7	consider	consider	VERB
cana-2346	87	8	both	both	DET
cana-2346	87	9	space	space	NOUN
cana-2346	87	10	and	and	CCONJ
cana-2346	87	11	time	time	NOUN
cana-2346	87	12	are	be	AUX
cana-2346	87	13	able	able	ADJ
cana-2346	87	14	to	to	PART
cana-2346	87	15	capture	capture	VERB
cana-2346	87	16	the	the	DET
cana-2346	87	17	changing	change	VERB
cana-2346	87	18	relationships	relationship	NOUN
cana-2346	87	19	between	between	ADP
cana-2346	87	20	environmental	environmental	ADJ
cana-2346	87	21	factors	factor	NOUN
cana-2346	87	22	and	and	CCONJ
cana-2346	87	23	crop	crop	NOUN
cana-2346	87	24	development	development	NOUN
cana-2346	87	25	throughout	throughout	ADP
cana-2346	87	26	various	various	ADJ
cana-2346	87	27	seasons	season	NOUN
cana-2346	87	28	and	and	CCONJ
cana-2346	87	29	locations	location	NOUN
cana-2346	87	30	.	.	PUNCT
cana-2346	88	1	the	the	DET
cana-2346	88	2	article	article	NOUN
cana-2346	88	3	introduced	introduce	VERB
cana-2346	88	4	a	a	DET
cana-2346	88	5	model	model	NOUN
cana-2346	88	6	that	that	PRON
cana-2346	88	7	integrates	integrate	VERB
cana-2346	88	8	satellite	satellite	NOUN
cana-2346	88	9	images	image	NOUN
cana-2346	88	10	,	,	PUNCT
cana-2346	88	11	weather	weather	NOUN
cana-2346	88	12	information	information	NOUN
cana-2346	88	13	,	,	PUNCT
cana-2346	88	14	and	and	CCONJ
cana-2346	88	15	past	past	ADJ
cana-2346	88	16	crop	crop	NOUN
cana-2346	88	17	harvests	harvest	NOUN
cana-2346	88	18	to	to	PART
cana-2346	88	19	forecast	forecast	VERB
cana-2346	88	20	upcoming	upcoming	ADJ
cana-2346	88	21	crop	crop	NOUN
cana-2346	88	22	viability	viability	NOUN
cana-2346	88	23	and	and	CCONJ
cana-2346	88	24	output	output	NOUN
cana-2346	88	25	.	.	PUNCT
cana-2346	89	1	in	in	ADP
cana-2346	89	2	addition	addition	NOUN
cana-2346	89	3	,	,	PUNCT
cana-2346	89	4	it	it	PRON
cana-2346	89	5	emphasized	emphasize	VERB
cana-2346	89	6	the	the	DET
cana-2346	89	7	capability	capability	NOUN
cana-2346	89	8	of	of	ADP
cana-2346	89	9	deep	deep	ADJ
cana-2346	89	10	learning	learning	NOUN
cana-2346	89	11	structures	structure	NOUN
cana-2346	89	12	like	like	ADP
cana-2346	89	13	recurrent	recurrent	ADJ
cana-2346	89	14	neural	neural	ADJ
cana-2346	89	15	networks	network	NOUN
cana-2346	89	16	(	(	PUNCT
cana-2346	89	17	rnns	rnns	PROPN
cana-2346	89	18	)	)	PUNCT
cana-2346	89	19	and	and	CCONJ
cana-2346	89	20	long	long	ADJ
cana-2346	89	21	short	short	ADJ
cana-2346	89	22	-	-	PUNCT
cana-2346	89	23	term	term	NOUN
cana-2346	89	24	memory	memory	NOUN
cana-2346	89	25	(	(	PUNCT
cana-2346	89	26	lstm	lstm	NOUN
cana-2346	89	27	)	)	PUNCT
cana-2346	89	28	networks	network	NOUN
cana-2346	89	29	in	in	ADP
cana-2346	89	30	capturing	capture	VERB
cana-2346	89	31	temporal	temporal	ADJ
cana-2346	89	32	relationships	relationship	NOUN
cana-2346	89	33	in	in	ADP
cana-2346	89	34	agricultural	agricultural	ADJ
cana-2346	89	35	systems	system	NOUN
cana-2346	89	36	.	.	PUNCT
cana-2346	90	1	nigam	nigam	PROPN
cana-2346	90	2	and	and	CCONJ
cana-2346	90	3	colleagues	colleague	NOUN
cana-2346	91	1	[	[	X
cana-2346	91	2	22	22	NUM
cana-2346	91	3	]	]	PUNCT
cana-2346	91	4	investigated	investigate	VERB
cana-2346	91	5	how	how	SCONJ
cana-2346	91	6	transfer	transfer	NOUN
cana-2346	91	7	learning	learning	NOUN
cana-2346	91	8	methods	method	NOUN
cana-2346	91	9	can	can	AUX
cana-2346	91	10	be	be	AUX
cana-2346	91	11	used	use	VERB
cana-2346	91	12	in	in	ADP
cana-2346	91	13	suggesting	suggest	VERB
cana-2346	91	14	crops	crop	NOUN
cana-2346	91	15	for	for	ADP
cana-2346	91	16	small	small	ADJ
cana-2346	91	17	-	-	PUNCT
cana-2346	91	18	scale	scale	NOUN
cana-2346	91	19	farmers	farmer	NOUN
cana-2346	91	20	in	in	ADP
cana-2346	91	21	developing	develop	VERB
cana-2346	91	22	nations	nation	NOUN
cana-2346	91	23	.	.	PUNCT
cana-2346	92	1	they	they	PRON
cana-2346	92	2	talked	talk	VERB
cana-2346	92	3	about	about	ADP
cana-2346	92	4	how	how	SCONJ
cana-2346	92	5	pre	pre	ADJ
cana-2346	92	6	-	-	ADJ
cana-2346	92	7	trained	trained	ADJ
cana-2346	92	8	models	model	NOUN
cana-2346	92	9	,	,	PUNCT
cana-2346	92	10	fine	fine	ADV
cana-2346	92	11	-	-	PUNCT
cana-2346	92	12	tuning	tune	VERB
cana-2346	92	13	techniques	technique	NOUN
cana-2346	92	14	,	,	PUNCT
cana-2346	92	15	and	and	CCONJ
cana-2346	92	16	knowledge	knowledge	NOUN
cana-2346	92	17	transfer	transfer	NOUN
cana-2346	92	18	mechanisms	mechanism	NOUN
cana-2346	92	19	can	can	AUX
cana-2346	92	20	tackle	tackle	VERB
cana-2346	92	21	data	data	NOUN
cana-2346	92	22	scarcity	scarcity	NOUN
cana-2346	92	23	and	and	CCONJ
cana-2346	92	24	domain	domain	NOUN
cana-2346	92	25	adaptation	adaptation	NOUN
cana-2346	92	26	challenges	challenge	NOUN
cana-2346	92	27	in	in	ADP
cana-2346	92	28	settings	setting	NOUN
cana-2346	92	29	with	with	ADP
cana-2346	92	30	limited	limited	ADJ
cana-2346	92	31	resources	resource	NOUN
cana-2346	92	32	.	.	PUNCT
cana-2346	93	1	the	the	DET
cana-2346	93	2	paper	paper	NOUN
cana-2346	93	3	showcased	showcase	VERB
cana-2346	93	4	case	case	NOUN
cana-2346	93	5	studies	study	NOUN
cana-2346	93	6	and	and	CCONJ
cana-2346	93	7	field	field	NOUN
cana-2346	93	8	experiments	experiment	NOUN
cana-2346	93	9	carried	carry	VERB
cana-2346	93	10	out	out	ADP
cana-2346	93	11	in	in	ADP
cana-2346	93	12	rural	rural	ADJ
cana-2346	93	13	areas	area	NOUN
cana-2346	93	14	to	to	PART
cana-2346	93	15	show	show	VERB
cana-2346	93	16	how	how	SCONJ
cana-2346	93	17	transfer	transfer	NOUN
cana-2346	93	18	learning	learning	NOUN
cana-2346	93	19	is	be	AUX
cana-2346	93	20	effective	effective	ADJ
cana-2346	93	21	in	in	ADP
cana-2346	93	22	tailored	tailored	ADJ
cana-2346	93	23	crop	crop	NOUN
cana-2346	93	24	advising	advise	VERB
cana-2346	93	25	services	service	NOUN
cana-2346	93	26	.	.	PUNCT
cana-2346	94	1	furthermore	furthermore	ADV
cana-2346	94	2	,	,	PUNCT
cana-2346	94	3	it	it	PRON
cana-2346	94	4	emphasized	emphasize	VERB
cana-2346	94	5	the	the	DET
cana-2346	94	6	significance	significance	NOUN
cana-2346	94	7	of	of	ADP
cana-2346	94	8	involving	involve	VERB
cana-2346	94	9	the	the	DET
cana-2346	94	10	community	community	NOUN
cana-2346	94	11	and	and	CCONJ
cana-2346	94	12	using	use	VERB
cana-2346	94	13	participatory	participatory	ADJ
cana-2346	94	14	methods	method	NOUN
cana-2346	94	15	when	when	SCONJ
cana-2346	94	16	customizing	customizing	NOUN
cana-2346	94	17	recommendation	recommendation	NOUN
cana-2346	94	18	systems	system	NOUN
cana-2346	94	19	for	for	ADP
cana-2346	94	20	specific	specific	ADJ
cana-2346	94	21	local	local	ADJ
cana-2346	94	22	settings	setting	NOUN
cana-2346	94	23	.	.	PUNCT
cana-2346	95	1	shams	sham	NOUN
cana-2346	95	2	et	et	PROPN
cana-2346	95	3	al	al	PROPN
cana-2346	95	4	.	.	PUNCT
cana-2346	96	1	[	[	X
cana-2346	96	2	23	23	NUM
cana-2346	96	3	]	]	PUNCT
cana-2346	96	4	explored	explore	VERB
cana-2346	96	5	the	the	DET
cana-2346	96	6	application	application	NOUN
cana-2346	96	7	of	of	ADP
cana-2346	96	8	explainable	explainable	ADJ
cana-2346	96	9	artificial	artificial	ADJ
cana-2346	96	10	intelligence	intelligence	NOUN
cana-2346	96	11	(	(	PUNCT
cana-2346	96	12	xai	xai	PROPN
cana-2346	96	13	)	)	PUNCT
cana-2346	96	14	methods	method	NOUN
cana-2346	96	15	in	in	ADP
cana-2346	96	16	developing	develop	VERB
cana-2346	96	17	transparent	transparent	ADJ
cana-2346	96	18	and	and	CCONJ
cana-2346	96	19	interpretable	interpretable	ADJ
cana-2346	96	20	crop	crop	NOUN
cana-2346	96	21	recommendation	recommendation	NOUN
cana-2346	96	22	systems	system	NOUN
cana-2346	96	23	.	.	PUNCT
cana-2346	97	1	the	the	DET
cana-2346	97	2	conversation	conversation	NOUN
cana-2346	97	3	revolved	revolve	VERB
cana-2346	97	4	around	around	ADP
cana-2346	97	5	how	how	SCONJ
cana-2346	97	6	xai	xai	PROPN
cana-2346	97	7	techniques	technique	VERB
cana-2346	97	8	like	like	ADP
cana-2346	97	9	decision	decision	NOUN
cana-2346	97	10	trees	tree	NOUN
cana-2346	97	11	,	,	PUNCT
cana-2346	97	12	rule	rule	NOUN
cana-2346	97	13	extraction	extraction	NOUN
cana-2346	97	14	algorithms	algorithm	NOUN
cana-2346	97	15	,	,	PUNCT
cana-2346	97	16	and	and	CCONJ
cana-2346	97	17	model	model	ADJ
cana-2346	97	18	-	-	ADJ
cana-2346	97	19	agnostic	agnostic	ADJ
cana-2346	97	20	approaches	approach	NOUN
cana-2346	97	21	can	can	AUX
cana-2346	97	22	offer	offer	VERB
cana-2346	97	23	understanding	understanding	NOUN
cana-2346	97	24	into	into	ADP
cana-2346	97	25	the	the	DET
cana-2346	97	26	logic	logic	NOUN
cana-2346	97	27	behind	behind	ADP
cana-2346	97	28	crop	crop	NOUN
cana-2346	97	29	suggestions	suggestion	NOUN
cana-2346	97	30	.	.	PUNCT
cana-2346	98	1	the	the	DET
cana-2346	98	2	paper	paper	NOUN
cana-2346	98	3	highlighted	highlight	VERB
cana-2346	98	4	trust	trust	PROPN
cana-2346	98	5	,	,	PUNCT
cana-2346	98	6	accountability	accountability	NOUN
cana-2346	98	7	,	,	PUNCT
cana-2346	98	8	and	and	CCONJ
cana-2346	98	9	user	user	NOUN
cana-2346	98	10	acceptance	acceptance	NOUN
cana-2346	98	11	as	as	ADP
cana-2346	98	12	crucial	crucial	ADJ
cana-2346	98	13	in	in	ADP
cana-2346	98	14	agricultural	agricultural	ADJ
cana-2346	98	15	decision	decision	NOUN
cana-2346	98	16	support	support	NOUN
cana-2346	98	17	systems	system	NOUN
cana-2346	98	18	.	.	PUNCT
cana-2346	99	1	additionally	additionally	ADV
cana-2346	99	2	,	,	PUNCT
cana-2346	99	3	it	it	PRON
cana-2346	99	4	emphasized	emphasize	VERB
cana-2346	99	5	the	the	DET
cana-2346	99	6	potential	potential	NOUN
cana-2346	99	7	of	of	ADP
cana-2346	99	8	xai	xai	PROPN
cana-2346	99	9	in	in	ADP
cana-2346	99	10	improving	improve	VERB
cana-2346	99	11	farmer	farmer	NOUN
cana-2346	99	12	acceptance	acceptance	NOUN
cana-2346	99	13	and	and	CCONJ
cana-2346	99	14	aiding	aid	VERB
cana-2346	99	15	in	in	ADP
cana-2346	99	16	the	the	DET
cana-2346	99	17	transfer	transfer	NOUN
cana-2346	99	18	of	of	ADP
cana-2346	99	19	knowledge	knowledge	NOUN
cana-2346	99	20	in	in	ADP
cana-2346	99	21	crop	crop	NOUN
cana-2346	99	22	recommendation	recommendation	NOUN
cana-2346	99	23	systems	system	NOUN
cana-2346	99	24	.	.	PUNCT
cana-2346	100	1	hasan	hasan	PROPN
cana-2346	100	2	and	and	CCONJ
cana-2346	100	3	colleagues[24	colleagues[24	PROPN
cana-2346	100	4	]	]	PUNCT
cana-2346	100	5	introduced	introduce	VERB
cana-2346	100	6	a	a	DET
cana-2346	100	7	new	new	ADJ
cana-2346	100	8	method	method	NOUN
cana-2346	100	9	for	for	ADP
cana-2346	100	10	recommending	recommend	VERB
cana-2346	100	11	crops	crop	NOUN
cana-2346	100	12	utilizing	utilize	VERB
cana-2346	100	13	ensemble	ensemble	ADJ
cana-2346	100	14	learning	learning	NOUN
cana-2346	100	15	methods	method	NOUN
cana-2346	100	16	.	.	PUNCT
cana-2346	101	1	the	the	DET
cana-2346	101	2	conversation	conversation	NOUN
cana-2346	101	3	focused	focus	VERB
cana-2346	101	4	on	on	ADP
cana-2346	101	5	the	the	DET
cana-2346	101	6	application	application	NOUN
cana-2346	101	7	of	of	ADP
cana-2346	101	8	ensemble	ensemble	ADJ
cana-2346	101	9	methods	method	NOUN
cana-2346	101	10	to	to	ADP
cana-2346	101	11	crop	crop	NOUN
cana-2346	101	12	selection	selection	NOUN
cana-2346	101	13	tasks	task	NOUN
cana-2346	101	14	,	,	PUNCT
cana-2346	101	15	where	where	SCONJ
cana-2346	101	16	multiple	multiple	ADJ
cana-2346	101	17	base	base	NOUN
cana-2346	101	18	learners	learner	NOUN
cana-2346	101	19	are	be	AUX
cana-2346	101	20	combined	combine	VERB
cana-2346	101	21	to	to	PART
cana-2346	101	22	enhance	enhance	VERB
cana-2346	101	23	prediction	prediction	NOUN
cana-2346	101	24	accuracy	accuracy	NOUN
cana-2346	101	25	and	and	CCONJ
cana-2346	101	26	robustness	robustness	NOUN
cana-2346	101	27	.	.	PUNCT
cana-2346	102	1	the	the	DET
cana-2346	102	2	article	article	NOUN
cana-2346	102	3	introduced	introduce	VERB
cana-2346	102	4	a	a	DET
cana-2346	102	5	combined	combine	VERB
cana-2346	102	6	framework	framework	NOUN
cana-2346	102	7	that	that	PRON
cana-2346	102	8	merges	merge	VERB
cana-2346	102	9	various	various	ADJ
cana-2346	102	10	machine	machine	NOUN
cana-2346	102	11	learning	learn	VERB
cana-2346	102	12	algorithms	algorithm	NOUN
cana-2346	102	13	,	,	PUNCT
cana-2346	102	14	including	include	VERB
cana-2346	102	15	decision	decision	NOUN
cana-2346	102	16	trees	tree	NOUN
cana-2346	102	17	,	,	PUNCT
cana-2346	102	18	support	support	NOUN
cana-2346	102	19	vector	vector	NOUN
cana-2346	102	20	machines	machine	NOUN
cana-2346	102	21	,	,	PUNCT
cana-2346	102	22	and	and	CCONJ
cana-2346	102	23	neural	neural	ADJ
cana-2346	102	24	networks	network	NOUN
cana-2346	102	25	,	,	PUNCT
cana-2346	102	26	in	in	ADP
cana-2346	102	27	order	order	NOUN
cana-2346	102	28	to	to	PART
cana-2346	102	29	utilize	utilize	VERB
cana-2346	102	30	their	their	PRON
cana-2346	102	31	different	different	ADJ
cana-2346	102	32	strengths	strength	NOUN
cana-2346	102	33	.	.	PUNCT
cana-2346	103	1	moreover	moreover	ADV
cana-2346	103	2	,	,	PUNCT
cana-2346	103	3	it	it	PRON
cana-2346	103	4	investigated	investigate	VERB
cana-2346	103	5	various	various	ADJ
cana-2346	103	6	ensemble	ensemble	ADJ
cana-2346	103	7	techniques	technique	NOUN
cana-2346	103	8	such	such	ADJ
cana-2346	103	9	as	as	ADP
cana-2346	103	10	bagging	bagging	NOUN
cana-2346	103	11	,	,	PUNCT
cana-2346	103	12	boosting	boost	VERB
cana-2346	103	13	,	,	PUNCT
cana-2346	103	14	and	and	CCONJ
cana-2346	103	15	stacking	stack	VERB
cana-2346	103	16	to	to	PART
cana-2346	103	17	improve	improve	VERB
cana-2346	103	18	both	both	DET
cana-2346	103	19	the	the	DET
cana-2346	103	20	diversity	diversity	NOUN
cana-2346	103	21	and	and	CCONJ
cana-2346	103	22	effectiveness	effectiveness	NOUN
cana-2346	103	23	of	of	ADP
cana-2346	103	24	the	the	DET
cana-2346	103	25	recommendation	recommendation	NOUN
cana-2346	103	26	system	system	NOUN
cana-2346	103	27	.	.	PUNCT
cana-2346	104	1	sharma	sharma	PROPN
cana-2346	104	2	and	and	CCONJ
cana-2346	104	3	colleagues[25	colleagues[25	PROPN
cana-2346	104	4	]	]	PUNCT
cana-2346	104	5	studied	study	VERB
cana-2346	104	6	the	the	DET
cana-2346	104	7	application	application	NOUN
cana-2346	104	8	of	of	ADP
cana-2346	104	9	evolutionary	evolutionary	ADJ
cana-2346	104	10	algorithms	algorithm	NOUN
cana-2346	104	11	in	in	ADP
cana-2346	104	12	improving	improve	VERB
cana-2346	104	13	crop	crop	NOUN
cana-2346	104	14	recommendation	recommendation	NOUN
cana-2346	104	15	models	model	NOUN
cana-2346	104	16	and	and	CCONJ
cana-2346	104	17	selecting	select	VERB
cana-2346	104	18	features	feature	NOUN
cana-2346	104	19	.	.	PUNCT
cana-2346	105	1	they	they	PRON
cana-2346	105	2	talked	talk	VERB
cana-2346	105	3	about	about	ADP
cana-2346	105	4	how	how	SCONJ
cana-2346	105	5	genetic	genetic	ADJ
cana-2346	105	6	algorithms	algorithm	NOUN
cana-2346	105	7	,	,	PUNCT
cana-2346	105	8	particle	particle	NOUN
cana-2346	105	9	swarm	swarm	NOUN
cana-2346	105	10	optimization	optimization	NOUN
cana-2346	105	11	,	,	PUNCT
cana-2346	105	12	and	and	CCONJ
cana-2346	105	13	evolutionary	evolutionary	ADJ
cana-2346	105	14	strategies	strategy	NOUN
cana-2346	105	15	can	can	AUX
cana-2346	105	16	effectively	effectively	ADV
cana-2346	105	17	explore	explore	VERB
cana-2346	105	18	vast	vast	ADJ
cana-2346	105	19	solution	solution	NOUN
cana-2346	105	20	spaces	space	VERB
cana-2346	105	21	to	to	PART
cana-2346	105	22	find	find	VERB
cana-2346	105	23	the	the	DET
cana-2346	105	24	best	good	ADJ
cana-2346	105	25	model	model	NOUN
cana-2346	105	26	parameters	parameter	NOUN
cana-2346	105	27	and	and	CCONJ
cana-2346	105	28	important	important	ADJ
cana-2346	105	29	input	input	NOUN
cana-2346	105	30	features	feature	NOUN
cana-2346	105	31	.	.	PUNCT
cana-2346	106	1	the	the	DET
cana-2346	106	2	paper	paper	NOUN
cana-2346	106	3	introduced	introduce	VERB
cana-2346	106	4	a	a	DET
cana-2346	106	5	meta	meta	ADJ
cana-2346	106	6	-	-	PUNCT
cana-2346	106	7	heuristic	heuristic	ADJ
cana-2346	106	8	optimization	optimization	NOUN
cana-2346	106	9	system	system	NOUN
cana-2346	106	10	to	to	PART
cana-2346	106	11	adjust	adjust	VERB
cana-2346	106	12	machine	machine	NOUN
cana-2346	106	13	learning	learning	NOUN
cana-2346	106	14	models	model	NOUN
cana-2346	106	15	and	and	CCONJ
cana-2346	106	16	pinpoint	pinpoint	VERB
cana-2346	106	17	important	important	ADJ
cana-2346	106	18	soil	soil	NOUN
cana-2346	106	19	and	and	CCONJ
cana-2346	106	20	environmental	environmental	ADJ
cana-2346	106	21	variables	variable	NOUN
cana-2346	106	22	for	for	ADP
cana-2346	106	23	crop	crop	NOUN
cana-2346	106	24	advice	advice	NOUN
cana-2346	106	25	.	.	PUNCT
cana-2346	107	1	furthermore	furthermore	ADV
cana-2346	107	2	,	,	PUNCT
cana-2346	107	3	it	it	PRON
cana-2346	107	4	emphasized	emphasize	VERB
cana-2346	107	5	the	the	DET
cana-2346	107	6	capability	capability	NOUN
cana-2346	107	7	of	of	ADP
cana-2346	107	8	evolutionary	evolutionary	ADJ
cana-2346	107	9	algorithms	algorithm	NOUN
cana-2346	107	10	in	in	ADP
cana-2346	107	11	managing	manage	VERB
cana-2346	107	12	data	datum	NOUN
cana-2346	107	13	with	with	ADP
cana-2346	107	14	high	high	ADJ
cana-2346	107	15	dimensions	dimension	NOUN
cana-2346	107	16	and	and	CCONJ
cana-2346	107	17	enhancing	enhance	VERB
cana-2346	107	18	the	the	DET
cana-2346	107	19	scalability	scalability	NOUN
cana-2346	107	20	of	of	ADP
cana-2346	107	21	recommendation	recommendation	NOUN
cana-2346	107	22	systems	system	NOUN
cana-2346	107	23	.	.	PUNCT
cana-2346	108	1	according	accord	VERB
cana-2346	108	2	to	to	ADP
cana-2346	108	3	teixeira	teixeira	PROPN
cana-2346	108	4	et	et	PROPN
cana-2346	108	5	al	al	PROPN
cana-2346	108	6	.	.	PUNCT
cana-2346	109	1	[	[	X
cana-2346	109	2	26	26	NUM
cana-2346	109	3	]	]	X
cana-2346	109	4	,	,	PUNCT
cana-2346	109	5	a	a	DET
cana-2346	109	6	method	method	NOUN
cana-2346	109	7	based	base	VERB
cana-2346	109	8	on	on	ADP
cana-2346	109	9	data	datum	NOUN
cana-2346	109	10	analysis	analysis	NOUN
cana-2346	109	11	was	be	AUX
cana-2346	109	12	suggested	suggest	VERB
cana-2346	109	13	for	for	ADP
cana-2346	109	14	suggesting	suggest	VERB
cana-2346	109	15	crops	crop	NOUN
cana-2346	109	16	through	through	ADP
cana-2346	109	17	deep	deep	ADJ
cana-2346	109	18	learning	learning	NOUN
cana-2346	109	19	models	model	NOUN
cana-2346	109	20	.	.	PUNCT
cana-2346	110	1	the	the	DET
cana-2346	110	2	conversation	conversation	NOUN
cana-2346	110	3	revolved	revolve	VERB
cana-2346	110	4	around	around	ADP
cana-2346	110	5	the	the	DET
cana-2346	110	6	ability	ability	NOUN
cana-2346	110	7	of	of	ADP
cana-2346	110	8	deep	deep	ADJ
cana-2346	110	9	neural	neural	ADJ
cana-2346	110	10	networks	network	NOUN
cana-2346	110	11	,	,	PUNCT
cana-2346	110	12	convolutional	convolutional	ADJ
cana-2346	110	13	neural	neural	ADJ
cana-2346	110	14	networks	network	NOUN
cana-2346	110	15	(	(	PUNCT
cana-2346	110	16	cnns	cnns	PROPN
cana-2346	110	17	)	)	PUNCT
cana-2346	110	18	,	,	PUNCT
cana-2346	110	19	and	and	CCONJ
cana-2346	110	20	autoencoder	autoencoder	NOUN
cana-2346	110	21	models	model	NOUN
cana-2346	110	22	to	to	PART
cana-2346	110	23	extract	extract	VERB
cana-2346	110	24	significant	significant	ADJ
cana-2346	110	25	features	feature	NOUN
cana-2346	110	26	from	from	ADP
cana-2346	110	27	soil	soil	NOUN
cana-2346	110	28	and	and	CCONJ
cana-2346	110	29	environmental	environmental	ADJ
cana-2346	110	30	communications	communication	NOUN
cana-2346	110	31	on	on	ADP
cana-2346	110	32	applied	apply	VERB
cana-2346	110	33	nonlinear	nonlinear	ADJ
cana-2346	110	34	analysis	analysis	NOUN
cana-2346	110	35	issn	issn	NOUN
cana-2346	110	36	:	:	PUNCT
cana-2346	110	37	1074	1074	NUM
cana-2346	110	38	-	-	PUNCT
cana-2346	110	39	133x	133x	NUM
cana-2346	110	40	vol	vol	NOUN
cana-2346	110	41	32	32	NUM
cana-2346	110	42	no	no	NOUN
cana-2346	110	43	.	.	PUNCT
cana-2346	111	1	1s	1s	NUM
cana-2346	111	2	(	(	PUNCT
cana-2346	111	3	2025	2025	NUM
cana-2346	111	4	)	)	PUNCT
cana-2346	111	5	589	589	NUM
cana-2346	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	111	7	data	datum	NOUN
cana-2346	111	8	in	in	ADP
cana-2346	111	9	order	order	NOUN
cana-2346	111	10	to	to	PART
cana-2346	111	11	predict	predict	VERB
cana-2346	111	12	crop	crop	NOUN
cana-2346	111	13	outcomes	outcome	NOUN
cana-2346	111	14	.	.	PUNCT
cana-2346	112	1	the	the	DET
cana-2346	112	2	article	article	NOUN
cana-2346	112	3	introduced	introduce	VERB
cana-2346	112	4	a	a	DET
cana-2346	112	5	deep	deep	ADJ
cana-2346	112	6	learning	learning	NOUN
cana-2346	112	7	process	process	NOUN
cana-2346	112	8	that	that	PRON
cana-2346	112	9	prepares	prepare	VERB
cana-2346	112	10	raw	raw	ADJ
cana-2346	112	11	input	input	NOUN
cana-2346	112	12	data	datum	NOUN
cana-2346	112	13	,	,	PUNCT
cana-2346	112	14	creates	create	VERB
cana-2346	112	15	hierarchical	hierarchical	ADJ
cana-2346	112	16	representations	representation	NOUN
cana-2346	112	17	with	with	ADP
cana-2346	112	18	many	many	ADJ
cana-2346	112	19	layers	layer	NOUN
cana-2346	112	20	,	,	PUNCT
cana-2346	112	21	and	and	CCONJ
cana-2346	112	22	forecasts	forecast	VERB
cana-2346	112	23	crop	crop	NOUN
cana-2346	112	24	results	result	NOUN
cana-2346	112	25	using	use	VERB
cana-2346	112	26	these	these	DET
cana-2346	112	27	representations	representation	NOUN
cana-2346	112	28	.	.	PUNCT
cana-2346	113	1	moreover	moreover	ADV
cana-2346	113	2	,	,	PUNCT
cana-2346	113	3	it	it	PRON
cana-2346	113	4	investigated	investigate	VERB
cana-2346	113	5	transfer	transfer	NOUN
cana-2346	113	6	learning	learning	NOUN
cana-2346	113	7	methods	method	NOUN
cana-2346	113	8	and	and	CCONJ
cana-2346	113	9	model	model	NOUN
cana-2346	113	10	regularization	regularization	NOUN
cana-2346	113	11	techniques	technique	NOUN
cana-2346	113	12	to	to	PART
cana-2346	113	13	improve	improve	VERB
cana-2346	113	14	the	the	DET
cana-2346	113	15	generalization	generalization	NOUN
cana-2346	113	16	capabilities	capability	NOUN
cana-2346	113	17	and	and	CCONJ
cana-2346	113	18	resilience	resilience	NOUN
cana-2346	113	19	of	of	ADP
cana-2346	113	20	deep	deep	ADJ
cana-2346	113	21	learning	learning	NOUN
cana-2346	113	22	models	model	NOUN
cana-2346	113	23	in	in	ADP
cana-2346	113	24	crop	crop	NOUN
cana-2346	113	25	recommendation	recommendation	NOUN
cana-2346	113	26	tasks	task	NOUN
cana-2346	113	27	.	.	PUNCT
cana-2346	114	1	methodology	methodology	NOUN
cana-2346	114	2	methodology	methodology	NOUN
cana-2346	114	3	comprises	comprise	NOUN
cana-2346	114	4	of	of	ADP
cana-2346	114	5	three	three	NUM
cana-2346	114	6	phases	phase	NOUN
cana-2346	114	7	,	,	PUNCT
cana-2346	114	8	called	call	VERB
cana-2346	114	9	data	data	NOUN
cana-2346	114	10	collection	collection	NOUN
cana-2346	114	11	and	and	CCONJ
cana-2346	114	12	pre	pre	ADJ
cana-2346	114	13	-	-	ADJ
cana-2346	114	14	processing	processing	ADJ
cana-2346	114	15	,	,	PUNCT
cana-2346	114	16	model	model	NOUN
cana-2346	114	17	building	building	NOUN
cana-2346	114	18	,	,	PUNCT
cana-2346	114	19	crop	crop	NOUN
cana-2346	114	20	recommendation	recommendation	NOUN
cana-2346	114	21	.	.	PUNCT
cana-2346	115	1	the	the	DET
cana-2346	115	2	architecture	architecture	NOUN
cana-2346	115	3	is	be	AUX
cana-2346	115	4	depicted	depict	VERB
cana-2346	115	5	in	in	ADP
cana-2346	115	6	figure	figure	NOUN
cana-2346	115	7	1	1	NUM
cana-2346	115	8	.	.	PUNCT
cana-2346	116	1	the	the	DET
cana-2346	116	2	initial	initial	ADJ
cana-2346	116	3	step	step	NOUN
cana-2346	116	4	includes	include	VERB
cana-2346	116	5	gathering	gather	VERB
cana-2346	116	6	the	the	DET
cana-2346	116	7	data	datum	NOUN
cana-2346	116	8	and	and	CCONJ
cana-2346	116	9	preparing	prepare	VERB
cana-2346	116	10	it	it	PRON
cana-2346	116	11	for	for	ADP
cana-2346	116	12	analysis	analysis	NOUN
cana-2346	116	13	.	.	PUNCT
cana-2346	117	1	during	during	ADP
cana-2346	117	2	this	this	DET
cana-2346	117	3	stage	stage	NOUN
cana-2346	117	4	,	,	PUNCT
cana-2346	117	5	we	we	PRON
cana-2346	117	6	apply	apply	VERB
cana-2346	117	7	methods	method	NOUN
cana-2346	117	8	like	like	ADP
cana-2346	117	9	counting	count	VERB
cana-2346	117	10	the	the	DET
cana-2346	117	11	number	number	NOUN
cana-2346	117	12	of	of	ADP
cana-2346	117	13	each	each	DET
cana-2346	117	14	class	class	NOUN
cana-2346	117	15	,	,	PUNCT
cana-2346	117	16	creating	create	VERB
cana-2346	117	17	histograms	histogram	NOUN
cana-2346	117	18	,	,	PUNCT
cana-2346	117	19	conducting	conduct	VERB
cana-2346	117	20	bivariate	bivariate	ADJ
cana-2346	117	21	analysis	analysis	NOUN
cana-2346	117	22	,	,	PUNCT
cana-2346	117	23	and	and	CCONJ
cana-2346	117	24	using	use	VERB
cana-2346	117	25	heatmaps	heatmap	NOUN
cana-2346	117	26	.	.	PUNCT
cana-2346	118	1	counting	count	VERB
cana-2346	118	2	the	the	DET
cana-2346	118	3	number	number	NOUN
cana-2346	118	4	of	of	ADP
cana-2346	118	5	distinct	distinct	ADJ
cana-2346	118	6	classes	class	NOUN
cana-2346	118	7	:	:	PUNCT
cana-2346	118	8	this	this	DET
cana-2346	118	9	method	method	NOUN
cana-2346	118	10	assists	assist	VERB
cana-2346	118	11	in	in	ADP
cana-2346	118	12	grasping	grasp	VERB
cana-2346	118	13	the	the	DET
cana-2346	118	14	spread	spread	NOUN
cana-2346	118	15	of	of	ADP
cana-2346	118	16	classes	class	NOUN
cana-2346	118	17	or	or	CCONJ
cana-2346	118	18	categories	category	NOUN
cana-2346	118	19	in	in	ADP
cana-2346	118	20	a	a	DET
cana-2346	118	21	dataset	dataset	NOUN
cana-2346	118	22	.	.	PUNCT
cana-2346	119	1	it	it	PRON
cana-2346	119	2	offers	offer	VERB
cana-2346	119	3	understanding	understanding	NOUN
cana-2346	119	4	of	of	ADP
cana-2346	119	5	the	the	DET
cana-2346	119	6	distribution	distribution	NOUN
cana-2346	119	7	of	of	ADP
cana-2346	119	8	various	various	ADJ
cana-2346	119	9	classes	class	NOUN
cana-2346	119	10	,	,	PUNCT
cana-2346	119	11	a	a	DET
cana-2346	119	12	crucial	crucial	ADJ
cana-2346	119	13	aspect	aspect	NOUN
cana-2346	119	14	in	in	ADP
cana-2346	119	15	classification	classification	NOUN
cana-2346	119	16	tasks	task	NOUN
cana-2346	119	17	.	.	PUNCT
cana-2346	120	1	for	for	ADP
cana-2346	120	2	instance	instance	NOUN
cana-2346	120	3	,	,	PUNCT
cana-2346	120	4	in	in	ADP
cana-2346	120	5	a	a	DET
cana-2346	120	6	dataset	dataset	NOUN
cana-2346	120	7	focused	focus	VERB
cana-2346	120	8	on	on	ADP
cana-2346	120	9	predicting	predict	VERB
cana-2346	120	10	customer	customer	NOUN
cana-2346	120	11	churn	churn	NOUN
cana-2346	120	12	,	,	PUNCT
cana-2346	120	13	you	you	PRON
cana-2346	120	14	could	could	AUX
cana-2346	120	15	employ	employ	VERB
cana-2346	120	16	this	this	DET
cana-2346	120	17	method	method	NOUN
cana-2346	120	18	to	to	PART
cana-2346	120	19	analyze	analyze	VERB
cana-2346	120	20	the	the	DET
cana-2346	120	21	number	number	NOUN
cana-2346	120	22	of	of	ADP
cana-2346	120	23	customers	customer	NOUN
cana-2346	120	24	who	who	PRON
cana-2346	120	25	churned	churn	VERB
cana-2346	120	26	compared	compare	VERB
cana-2346	120	27	to	to	ADP
cana-2346	120	28	those	those	PRON
cana-2346	120	29	who	who	PRON
cana-2346	120	30	remained	remain	VERB
cana-2346	120	31	,	,	PUNCT
cana-2346	120	32	offering	offer	VERB
cana-2346	120	33	an	an	DET
cana-2346	120	34	initial	initial	ADJ
cana-2346	120	35	insight	insight	NOUN
cana-2346	120	36	into	into	ADP
cana-2346	120	37	the	the	DET
cana-2346	120	38	distribution	distribution	NOUN
cana-2346	120	39	of	of	ADP
cana-2346	120	40	classes	class	NOUN
cana-2346	120	41	.	.	PUNCT
cana-2346	121	1	histograms	histogram	NOUN
cana-2346	121	2	:	:	PUNCT
cana-2346	122	1	histograms	histogram	NOUN
cana-2346	122	2	depict	depict	VERB
cana-2346	122	3	how	how	SCONJ
cana-2346	122	4	numerical	numerical	ADJ
cana-2346	122	5	data	data	NOUN
cana-2346	122	6	is	be	AUX
cana-2346	122	7	spread	spread	VERB
cana-2346	122	8	out	out	ADP
cana-2346	122	9	using	use	VERB
cana-2346	122	10	graphs	graph	NOUN
cana-2346	122	11	.	.	PUNCT
cana-2346	123	1	they	they	PRON
cana-2346	123	2	offer	offer	VERB
cana-2346	123	3	a	a	DET
cana-2346	123	4	visual	visual	ADJ
cana-2346	123	5	overview	overview	NOUN
cana-2346	123	6	of	of	ADP
cana-2346	123	7	how	how	SCONJ
cana-2346	123	8	often	often	ADV
cana-2346	123	9	data	datum	NOUN
cana-2346	123	10	points	point	NOUN
cana-2346	123	11	occur	occur	VERB
cana-2346	123	12	in	in	ADP
cana-2346	123	13	a	a	DET
cana-2346	123	14	dataset	dataset	NOUN
cana-2346	123	15	.	.	PUNCT
cana-2346	124	1	histograms	histogram	NOUN
cana-2346	124	2	help	help	VERB
cana-2346	124	3	in	in	ADP
cana-2346	124	4	quickly	quickly	ADV
cana-2346	124	5	spotting	spot	VERB
cana-2346	124	6	patterns	pattern	NOUN
cana-2346	124	7	like	like	ADP
cana-2346	124	8	central	central	ADJ
cana-2346	124	9	tendency	tendency	NOUN
cana-2346	124	10	,	,	PUNCT
cana-2346	124	11	spread	spread	NOUN
cana-2346	124	12	,	,	PUNCT
cana-2346	124	13	skewness	skewness	NOUN
cana-2346	124	14	,	,	PUNCT
cana-2346	124	15	and	and	CCONJ
cana-2346	124	16	outliers	outlier	NOUN
cana-2346	124	17	by	by	ADP
cana-2346	124	18	organizing	organize	VERB
cana-2346	124	19	data	datum	NOUN
cana-2346	124	20	into	into	ADP
cana-2346	124	21	bins	bin	NOUN
cana-2346	124	22	and	and	CCONJ
cana-2346	124	23	showing	show	VERB
cana-2346	124	24	the	the	DET
cana-2346	124	25	frequency	frequency	NOUN
cana-2346	124	26	of	of	ADP
cana-2346	124	27	observations	observation	NOUN
cana-2346	124	28	in	in	ADP
cana-2346	124	29	each	each	DET
cana-2346	124	30	bin	bin	NOUN
cana-2346	124	31	.	.	PUNCT
cana-2346	125	1	histograms	histogram	NOUN
cana-2346	125	2	are	be	AUX
cana-2346	125	3	frequently	frequently	ADV
cana-2346	125	4	employed	employ	VERB
cana-2346	125	5	in	in	ADP
cana-2346	125	6	eda	eda	PROPN
cana-2346	125	7	to	to	PART
cana-2346	125	8	grasp	grasp	VERB
cana-2346	125	9	the	the	DET
cana-2346	125	10	fundamental	fundamental	ADJ
cana-2346	125	11	distribution	distribution	NOUN
cana-2346	125	12	of	of	ADP
cana-2346	125	13	a	a	DET
cana-2346	125	14	variable	variable	NOUN
cana-2346	125	15	.	.	PUNCT
cana-2346	126	1	bivariate	bivariate	ADJ
cana-2346	126	2	analysis	analysis	NOUN
cana-2346	126	3	:	:	PUNCT
cana-2346	126	4	analysis	analysis	NOUN
cana-2346	126	5	of	of	ADP
cana-2346	126	6	two	two	NUM
cana-2346	126	7	variables	variable	NOUN
cana-2346	126	8	together	together	ADV
cana-2346	126	9	to	to	PART
cana-2346	126	10	see	see	VERB
cana-2346	126	11	if	if	SCONJ
cana-2346	126	12	there	there	PRON
cana-2346	126	13	is	be	VERB
cana-2346	126	14	any	any	DET
cana-2346	126	15	connection	connection	NOUN
cana-2346	126	16	between	between	ADP
cana-2346	126	17	them	they	PRON
cana-2346	126	18	is	be	AUX
cana-2346	126	19	called	call	VERB
cana-2346	126	20	bivariate	bivariate	ADJ
cana-2346	126	21	analysis	analysis	NOUN
cana-2346	126	22	.	.	PUNCT
cana-2346	127	1	it	it	PRON
cana-2346	127	2	aids	aid	VERB
cana-2346	127	3	in	in	ADP
cana-2346	127	4	comprehending	comprehend	VERB
cana-2346	127	5	the	the	DET
cana-2346	127	6	connection	connection	NOUN
cana-2346	127	7	,	,	PUNCT
cana-2346	127	8	relationship	relationship	NOUN
cana-2346	127	9	,	,	PUNCT
cana-2346	127	10	or	or	CCONJ
cana-2346	127	11	reliance	reliance	NOUN
cana-2346	127	12	between	between	ADP
cana-2346	127	13	two	two	NUM
cana-2346	127	14	variables	variable	NOUN
cana-2346	127	15	.	.	PUNCT
cana-2346	128	1	techniques	technique	NOUN
cana-2346	128	2	commonly	commonly	ADV
cana-2346	128	3	employed	employ	VERB
cana-2346	128	4	in	in	ADP
cana-2346	128	5	bivariate	bivariate	ADJ
cana-2346	128	6	analysis	analysis	NOUN
cana-2346	128	7	are	be	AUX
cana-2346	128	8	scatter	scatter	NOUN
cana-2346	128	9	plots	plot	NOUN
cana-2346	128	10	,	,	PUNCT
cana-2346	128	11	correlation	correlation	NOUN
cana-2346	128	12	coefficients	coefficient	NOUN
cana-2346	128	13	,	,	PUNCT
cana-2346	128	14	and	and	CCONJ
cana-2346	128	15	contingency	contingency	NOUN
cana-2346	128	16	tables	table	NOUN
cana-2346	128	17	.	.	PUNCT
cana-2346	129	1	examining	examine	VERB
cana-2346	129	2	two	two	NUM
cana-2346	129	3	variables	variable	NOUN
cana-2346	129	4	together	together	ADV
cana-2346	129	5	is	be	AUX
cana-2346	129	6	crucial	crucial	ADJ
cana-2346	129	7	for	for	ADP
cana-2346	129	8	recognizing	recognize	VERB
cana-2346	129	9	relationships	relationship	NOUN
cana-2346	129	10	,	,	PUNCT
cana-2346	129	11	trends	trend	NOUN
cana-2346	129	12	,	,	PUNCT
cana-2346	129	13	and	and	CCONJ
cana-2346	129	14	connections	connection	NOUN
cana-2346	129	15	,	,	PUNCT
cana-2346	129	16	which	which	PRON
cana-2346	129	17	can	can	AUX
cana-2346	129	18	offer	offer	VERB
cana-2346	129	19	useful	useful	ADJ
cana-2346	129	20	information	information	NOUN
cana-2346	129	21	for	for	ADP
cana-2346	129	22	making	make	VERB
cana-2346	129	23	predictions	prediction	NOUN
cana-2346	129	24	,	,	PUNCT
cana-2346	129	25	testing	testing	NOUN
cana-2346	129	26	hypotheses	hypothesis	NOUN
cana-2346	129	27	,	,	PUNCT
cana-2346	129	28	and	and	CCONJ
cana-2346	129	29	making	make	VERB
cana-2346	129	30	decisions	decision	NOUN
cana-2346	129	31	.	.	PUNCT
cana-2346	130	1	figure	figure	VERB
cana-2346	130	2	1	1	NUM
cana-2346	130	3	system	system	NOUN
cana-2346	130	4	structure	structure	NOUN
cana-2346	130	5	communications	communication	NOUN
cana-2346	130	6	on	on	ADP
cana-2346	130	7	applied	apply	VERB
cana-2346	130	8	nonlinear	nonlinear	ADJ
cana-2346	130	9	analysis	analysis	NOUN
cana-2346	130	10	issn	issn	NOUN
cana-2346	130	11	:	:	PUNCT
cana-2346	130	12	1074	1074	NUM
cana-2346	130	13	-	-	PUNCT
cana-2346	130	14	133x	133x	NUM
cana-2346	130	15	vol	vol	NOUN
cana-2346	130	16	32	32	NUM
cana-2346	130	17	no	no	NOUN
cana-2346	130	18	.	.	PUNCT
cana-2346	131	1	1s	1s	NUM
cana-2346	131	2	(	(	PUNCT
cana-2346	131	3	2025	2025	NUM
cana-2346	131	4	)	)	PUNCT
cana-2346	131	5	590	590	NUM
cana-2346	131	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	131	7	heatmap	heatmap	NOUN
cana-2346	131	8	:	:	PUNCT
cana-2346	131	9	a	a	DET
cana-2346	131	10	visual	visual	ADJ
cana-2346	131	11	depiction	depiction	NOUN
cana-2346	131	12	of	of	ADP
cana-2346	131	13	data	datum	NOUN
cana-2346	131	14	where	where	SCONJ
cana-2346	131	15	colors	color	NOUN
cana-2346	131	16	represent	represent	VERB
cana-2346	131	17	values	value	NOUN
cana-2346	131	18	in	in	ADP
cana-2346	131	19	a	a	DET
cana-2346	131	20	matrix	matrix	NOUN
cana-2346	131	21	.	.	PUNCT
cana-2346	132	1	heatmaps	heatmap	NOUN
cana-2346	132	2	are	be	AUX
cana-2346	132	3	especially	especially	ADV
cana-2346	132	4	handy	handy	ADJ
cana-2346	132	5	in	in	ADP
cana-2346	132	6	illustrating	illustrate	VERB
cana-2346	132	7	the	the	DET
cana-2346	132	8	correlation	correlation	NOUN
cana-2346	132	9	or	or	CCONJ
cana-2346	132	10	connection	connection	NOUN
cana-2346	132	11	among	among	ADP
cana-2346	132	12	multiple	multiple	ADJ
cana-2346	132	13	variables	variable	NOUN
cana-2346	132	14	within	within	ADP
cana-2346	132	15	a	a	DET
cana-2346	132	16	dataset	dataset	NOUN
cana-2346	132	17	.	.	PUNCT
cana-2346	133	1	they	they	PRON
cana-2346	133	2	are	be	AUX
cana-2346	133	3	commonly	commonly	ADV
cana-2346	133	4	utilized	utilize	VERB
cana-2346	133	5	in	in	ADP
cana-2346	133	6	exploratory	exploratory	ADJ
cana-2346	133	7	data	datum	NOUN
cana-2346	133	8	analysis	analysis	NOUN
cana-2346	133	9	to	to	PART
cana-2346	133	10	discover	discover	VERB
cana-2346	133	11	patterns	pattern	NOUN
cana-2346	133	12	,	,	PUNCT
cana-2346	133	13	clusters	cluster	NOUN
cana-2346	133	14	,	,	PUNCT
cana-2346	133	15	or	or	CCONJ
cana-2346	133	16	trends	trend	NOUN
cana-2346	133	17	in	in	ADP
cana-2346	133	18	data	datum	NOUN
cana-2346	133	19	sets	set	NOUN
cana-2346	133	20	with	with	ADP
cana-2346	133	21	high	high	ADJ
cana-2346	133	22	dimensions	dimension	NOUN
cana-2346	133	23	.	.	PUNCT
cana-2346	134	1	heatmaps	heatmap	NOUN
cana-2346	134	2	can	can	AUX
cana-2346	134	3	additionally	additionally	ADV
cana-2346	134	4	be	be	AUX
cana-2346	134	5	utilized	utilize	VERB
cana-2346	134	6	for	for	ADP
cana-2346	134	7	illustrating	illustrate	VERB
cana-2346	134	8	the	the	DET
cana-2346	134	9	outcomes	outcome	NOUN
cana-2346	134	10	of	of	ADP
cana-2346	134	11	hierarchical	hierarchical	ADJ
cana-2346	134	12	clustering	clustering	NOUN
cana-2346	134	13	or	or	CCONJ
cana-2346	134	14	presenting	present	VERB
cana-2346	134	15	the	the	DET
cana-2346	134	16	results	result	NOUN
cana-2346	134	17	of	of	ADP
cana-2346	134	18	matrix	matrix	NOUN
cana-2346	134	19	data	datum	NOUN
cana-2346	134	20	such	such	ADJ
cana-2346	134	21	as	as	ADP
cana-2346	134	22	gene	gene	NOUN
cana-2346	134	23	expression	expression	NOUN
cana-2346	134	24	or	or	CCONJ
cana-2346	134	25	customer	customer	NOUN
cana-2346	134	26	purchasing	purchasing	NOUN
cana-2346	134	27	behavior	behavior	NOUN
cana-2346	134	28	.	.	PUNCT
cana-2346	135	1	in	in	ADP
cana-2346	135	2	the	the	DET
cana-2346	135	3	next	next	ADJ
cana-2346	135	4	step	step	NOUN
cana-2346	135	5	,	,	PUNCT
cana-2346	135	6	we	we	PRON
cana-2346	135	7	will	will	AUX
cana-2346	135	8	construct	construct	VERB
cana-2346	135	9	the	the	DET
cana-2346	135	10	model	model	NOUN
cana-2346	135	11	with	with	ADP
cana-2346	135	12	logistic	logistic	ADJ
cana-2346	135	13	regression	regression	NOUN
cana-2346	135	14	,	,	PUNCT
cana-2346	135	15	random	random	ADJ
cana-2346	135	16	forest	forest	NOUN
cana-2346	135	17	,	,	PUNCT
cana-2346	135	18	gradient	gradient	ADJ
cana-2346	135	19	boosting	boosting	NOUN
cana-2346	135	20	,	,	PUNCT
cana-2346	135	21	and	and	CCONJ
cana-2346	135	22	xgboost	xgboost	X
cana-2346	135	23	.	.	PUNCT
cana-2346	136	1	here	here	ADV
cana-2346	136	2	is	be	AUX
cana-2346	136	3	where	where	SCONJ
cana-2346	136	4	you	you	PRON
cana-2346	136	5	can	can	AUX
cana-2346	136	6	find	find	VERB
cana-2346	136	7	the	the	DET
cana-2346	136	8	comprehensive	comprehensive	ADJ
cana-2346	136	9	explanations	explanation	NOUN
cana-2346	136	10	for	for	ADP
cana-2346	136	11	these	these	DET
cana-2346	136	12	models	model	NOUN
cana-2346	136	13	.	.	PUNCT
cana-2346	137	1	logistic	logistic	ADJ
cana-2346	137	2	regression	regression	NOUN
cana-2346	137	3	:	:	PUNCT
cana-2346	137	4	logistic	logistic	ADJ
cana-2346	137	5	regression	regression	NOUN
cana-2346	137	6	is	be	AUX
cana-2346	137	7	a	a	DET
cana-2346	137	8	statistical	statistical	ADJ
cana-2346	137	9	method	method	NOUN
cana-2346	137	10	used	use	VERB
cana-2346	137	11	for	for	ADP
cana-2346	137	12	binary	binary	ADJ
cana-2346	137	13	classification	classification	NOUN
cana-2346	137	14	problems	problem	NOUN
cana-2346	137	15	,	,	PUNCT
cana-2346	137	16	where	where	SCONJ
cana-2346	137	17	the	the	DET
cana-2346	137	18	dependent	dependent	ADJ
cana-2346	137	19	variable	variable	NOUN
cana-2346	137	20	is	be	AUX
cana-2346	137	21	categorical	categorical	ADJ
cana-2346	137	22	and	and	CCONJ
cana-2346	137	23	has	have	VERB
cana-2346	137	24	only	only	ADV
cana-2346	137	25	two	two	NUM
cana-2346	137	26	possible	possible	ADJ
cana-2346	137	27	outcomes	outcome	NOUN
cana-2346	137	28	.	.	PUNCT
cana-2346	138	1	it	it	PRON
cana-2346	138	2	models	model	VERB
cana-2346	138	3	the	the	DET
cana-2346	138	4	probability	probability	NOUN
cana-2346	138	5	of	of	ADP
cana-2346	138	6	the	the	DET
cana-2346	138	7	occurrence	occurrence	NOUN
cana-2346	138	8	of	of	ADP
cana-2346	138	9	a	a	DET
cana-2346	138	10	certain	certain	ADJ
cana-2346	138	11	event	event	NOUN
cana-2346	138	12	by	by	ADP
cana-2346	138	13	fitting	fitting	ADJ
cana-2346	138	14	data	datum	NOUN
cana-2346	138	15	to	to	ADP
cana-2346	138	16	a	a	DET
cana-2346	138	17	logistic	logistic	ADJ
cana-2346	138	18	function	function	NOUN
cana-2346	138	19	.	.	PUNCT
cana-2346	139	1	the	the	DET
cana-2346	139	2	actual	actual	ADJ
cana-2346	139	3	process	process	NOUN
cana-2346	139	4	is	be	AUX
cana-2346	139	5	shown	show	VERB
cana-2346	139	6	in	in	ADP
cana-2346	139	7	algorithm	algorithm	NOUN
cana-2346	139	8	1	1	NUM
cana-2346	139	9	.	.	PUNCT
cana-2346	140	1	the	the	DET
cana-2346	140	2	main	main	ADJ
cana-2346	140	3	mathematical	mathematical	ADJ
cana-2346	140	4	equation	equation	NOUN
cana-2346	140	5	involved	involve	VERB
cana-2346	140	6	in	in	ADP
cana-2346	140	7	logistic	logistic	ADJ
cana-2346	140	8	regression	regression	NOUN
cana-2346	140	9	is	be	AUX
cana-2346	140	10	the	the	DET
cana-2346	140	11	sigmoid	sigmoid	NOUN
cana-2346	140	12	function	function	NOUN
cana-2346	140	13	,	,	PUNCT
cana-2346	140	14	which	which	PRON
cana-2346	140	15	transforms	transform	VERB
cana-2346	140	16	the	the	DET
cana-2346	140	17	output	output	NOUN
cana-2346	140	18	of	of	ADP
cana-2346	140	19	a	a	DET
cana-2346	140	20	linear	linear	ADJ
cana-2346	140	21	combination	combination	NOUN
cana-2346	140	22	of	of	ADP
cana-2346	140	23	input	input	NOUN
cana-2346	140	24	features	feature	NOUN
cana-2346	140	25	into	into	ADP
cana-2346	140	26	a	a	DET
cana-2346	140	27	probability	probability	NOUN
cana-2346	140	28	value	value	NOUN
cana-2346	140	29	between	between	ADP
cana-2346	140	30	0	0	NUM
cana-2346	140	31	and	and	CCONJ
cana-2346	140	32	1	1	NUM
cana-2346	140	33	.	.	PUNCT
cana-2346	141	1	given	give	VERB
cana-2346	141	2	x	x	PUNCT
cana-2346	141	3	as	as	SCONJ
cana-2346	141	4	the	the	DET
cana-2346	141	5	input	input	NOUN
cana-2346	141	6	features	feature	VERB
cana-2346	141	7	and	and	CCONJ
cana-2346	141	8	β	β	X
cana-2346	141	9	as	as	ADP
cana-2346	141	10	the	the	DET
cana-2346	141	11	coefficients	coefficient	NOUN
cana-2346	141	12	,	,	PUNCT
cana-2346	141	13	the	the	DET
cana-2346	141	14	linear	linear	ADJ
cana-2346	141	15	combination	combination	NOUN
cana-2346	141	16	is	be	AUX
cana-2346	141	17	calculated	calculate	VERB
cana-2346	141	18	as	as	ADP
cana-2346	141	19	:	:	PUNCT
cana-2346	141	20	𝑧	𝑧	PROPN
cana-2346	141	21	=	=	SYM
cana-2346	141	22	𝛽	𝛽	NOUN
cana-2346	141	23	0	0	NUM
cana-2346	142	1	+	+	CCONJ
cana-2346	142	2	𝛽	𝛽	PROPN
cana-2346	142	3	1	1	NUM
cana-2346	142	4	𝑥1	𝑥1	NOUN
cana-2346	142	5	+	+	CCONJ
cana-2346	142	6	𝛽	𝛽	NOUN
cana-2346	142	7	2	2	NUM
cana-2346	142	8	𝑥2	𝑥2	NOUN
cana-2346	142	9	+	+	CCONJ
cana-2346	142	10	⋯	⋯	X
cana-2346	142	11	+	+	NOUN
cana-2346	142	12	𝛽	𝛽	NOUN
cana-2346	142	13	𝑛	𝑛	PROPN
cana-2346	142	14	𝑥𝑛	𝑥𝑛	VERB
cana-2346	142	15	where	where	SCONJ
cana-2346	142	16	:	:	PUNCT
cana-2346	142	17	𝑧	𝑧	PRON
cana-2346	142	18	is	be	AUX
cana-2346	142	19	the	the	DET
cana-2346	142	20	linear	linear	ADJ
cana-2346	142	21	combination	combination	NOUN
cana-2346	142	22	𝛽	𝛽	NOUN
cana-2346	142	23	0	0	NUM
cana-2346	142	24	is	be	AUX
cana-2346	142	25	the	the	DET
cana-2346	142	26	intercept	intercept	NOUN
cana-2346	142	27	𝛽	𝛽	NOUN
cana-2346	142	28	0	0	NUM
cana-2346	142	29	,	,	PUNCT
cana-2346	142	30	𝛽	𝛽	PROPN
cana-2346	142	31	1	1	NUM
cana-2346	142	32	,	,	PUNCT
cana-2346	142	33	𝛽	𝛽	PROPN
cana-2346	142	34	2	2	NUM
cana-2346	142	35	…	…	PUNCT
cana-2346	142	36	+	+	NUM
cana-2346	142	37	𝛽	𝛽	NOUN
cana-2346	142	38	𝑛	𝑛	NOUN
cana-2346	142	39	are	be	AUX
cana-2346	142	40	the	the	DET
cana-2346	142	41	coefficients	coefficient	NOUN
cana-2346	142	42	of	of	ADP
cana-2346	142	43	the	the	DET
cana-2346	142	44	input	input	NOUN
cana-2346	142	45	features	feature	VERB
cana-2346	142	46	𝑥1	𝑥1	PROPN
cana-2346	142	47	,	,	PUNCT
cana-2346	142	48	𝑥2	𝑥2	NOUN
cana-2346	142	49	,	,	PUNCT
cana-2346	142	50	.	.	PUNCT
cana-2346	143	1	𝑥𝑛	𝑥𝑛	AUX
cana-2346	143	2	the	the	DET
cana-2346	143	3	output	output	NOUN
cana-2346	143	4	of	of	ADP
cana-2346	143	5	the	the	DET
cana-2346	143	6	linear	linear	ADJ
cana-2346	143	7	combination	combination	NOUN
cana-2346	143	8	is	be	AUX
cana-2346	143	9	then	then	ADV
cana-2346	143	10	passed	pass	VERB
cana-2346	143	11	through	through	ADP
cana-2346	143	12	the	the	DET
cana-2346	143	13	sigmoid	sigmoid	NOUN
cana-2346	143	14	function	function	NOUN
cana-2346	143	15	(	(	PUNCT
cana-2346	143	16	also	also	ADV
cana-2346	143	17	known	know	VERB
cana-2346	143	18	as	as	ADP
cana-2346	143	19	the	the	DET
cana-2346	143	20	logistic	logistic	ADJ
cana-2346	143	21	function	function	NOUN
cana-2346	143	22	)	)	PUNCT
cana-2346	143	23	,	,	PUNCT
cana-2346	143	24	defined	define	VERB
cana-2346	143	25	as	as	ADP
cana-2346	143	26	:	:	PUNCT
cana-2346	143	27	𝜎(𝑧	𝜎(𝑧	NUM
cana-2346	143	28	)	)	PUNCT
cana-2346	143	29	=	=	NOUN
cana-2346	143	30	1	1	NUM
cana-2346	143	31	1	1	NUM
cana-2346	143	32	+	+	NUM
cana-2346	143	33	𝑒𝑧	𝑒𝑧	INTJ
cana-2346	143	34	where	where	SCONJ
cana-2346	143	35	:	:	PUNCT
cana-2346	143	36	e	e	X
cana-2346	143	37	is	be	AUX
cana-2346	143	38	the	the	DET
cana-2346	143	39	base	base	NOUN
cana-2346	143	40	of	of	ADP
cana-2346	143	41	the	the	DET
cana-2346	143	42	natural	natural	ADJ
cana-2346	143	43	logarithm	logarithm	NOUN
cana-2346	143	44	(	(	PUNCT
cana-2346	143	45	euler	euler	NOUN
cana-2346	143	46	's	's	PART
cana-2346	143	47	number	number	NOUN
cana-2346	143	48	)	)	PUNCT
cana-2346	143	49	the	the	DET
cana-2346	143	50	output	output	NOUN
cana-2346	143	51	of	of	ADP
cana-2346	143	52	the	the	DET
cana-2346	143	53	sigmoid	sigmoid	NOUN
cana-2346	143	54	function	function	NOUN
cana-2346	143	55	represents	represent	VERB
cana-2346	143	56	the	the	DET
cana-2346	143	57	probability	probability	NOUN
cana-2346	143	58	of	of	ADP
cana-2346	143	59	the	the	DET
cana-2346	143	60	input	input	NOUN
cana-2346	143	61	belonging	belong	VERB
cana-2346	143	62	to	to	ADP
cana-2346	143	63	the	the	DET
cana-2346	143	64	positive	positive	ADJ
cana-2346	143	65	class	class	NOUN
cana-2346	143	66	in	in	ADP
cana-2346	143	67	a	a	DET
cana-2346	143	68	binary	binary	ADJ
cana-2346	143	69	classification	classification	NOUN
cana-2346	143	70	problem	problem	NOUN
cana-2346	143	71	.	.	PUNCT
cana-2346	144	1	in	in	ADP
cana-2346	144	2	summary	summary	NOUN
cana-2346	144	3	,	,	PUNCT
cana-2346	144	4	the	the	DET
cana-2346	144	5	logistic	logistic	ADJ
cana-2346	144	6	regression	regression	NOUN
cana-2346	144	7	equation	equation	NOUN
cana-2346	144	8	can	can	AUX
cana-2346	144	9	be	be	AUX
cana-2346	144	10	represented	represent	VERB
cana-2346	144	11	as	as	ADP
cana-2346	144	12	:	:	PUNCT
cana-2346	144	13	𝑃(𝑦	𝑃(𝑦	X
cana-2346	144	14	=	=	SYM
cana-2346	144	15	1	1	NUM
cana-2346	144	16	∣	∣	PROPN
cana-2346	144	17	𝑥	𝑥	NOUN
cana-2346	144	18	)	)	PUNCT
cana-2346	144	19	=	=	NOUN
cana-2346	145	1	𝜎(𝛽	𝜎(𝛽	NOUN
cana-2346	145	2	0	0	PUNCT
cana-2346	146	1	+	+	CCONJ
cana-2346	146	2	𝛽	𝛽	PROPN
cana-2346	146	3	1	1	NUM
cana-2346	146	4	𝑥1	𝑥1	NOUN
cana-2346	146	5	+	+	CCONJ
cana-2346	146	6	𝛽	𝛽	NOUN
cana-2346	146	7	2	2	NUM
cana-2346	146	8	𝑥2	𝑥2	NOUN
cana-2346	146	9	+	+	CCONJ
cana-2346	146	10	⋯	⋯	X
cana-2346	146	11	+	+	NOUN
cana-2346	146	12	𝛽	𝛽	NOUN
cana-2346	146	13	𝑛	𝑛	DET
cana-2346	146	14	𝑥𝑛	𝑥𝑛	NOUN
cana-2346	146	15	)	)	PUNCT
cana-2346	146	16	where	where	SCONJ
cana-2346	146	17	:	:	PUNCT
cana-2346	146	18	communications	communication	NOUN
cana-2346	146	19	on	on	ADP
cana-2346	146	20	applied	apply	VERB
cana-2346	146	21	nonlinear	nonlinear	ADJ
cana-2346	146	22	analysis	analysis	NOUN
cana-2346	146	23	issn	issn	NOUN
cana-2346	146	24	:	:	PUNCT
cana-2346	146	25	1074	1074	NUM
cana-2346	146	26	-	-	PUNCT
cana-2346	146	27	133x	133x	NUM
cana-2346	146	28	vol	vol	NOUN
cana-2346	146	29	32	32	NUM
cana-2346	146	30	no	no	NOUN
cana-2346	146	31	.	.	PUNCT
cana-2346	147	1	1s	1s	NUM
cana-2346	147	2	(	(	PUNCT
cana-2346	147	3	2025	2025	NUM
cana-2346	147	4	)	)	PUNCT
cana-2346	147	5	591	591	NUM
cana-2346	147	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	147	7	(	(	PUNCT
cana-2346	147	8	𝑦	𝑦	NOUN
cana-2346	147	9	=	=	SYM
cana-2346	147	10	1	1	NUM
cana-2346	147	11	∣	∣	PROPN
cana-2346	147	12	𝑥	𝑥	NOUN
cana-2346	147	13	)	)	PUNCT
cana-2346	147	14	is	be	AUX
cana-2346	147	15	the	the	DET
cana-2346	147	16	probability	probability	NOUN
cana-2346	147	17	of	of	ADP
cana-2346	147	18	the	the	DET
cana-2346	147	19	input	input	NOUN
cana-2346	147	20	x	x	X
cana-2346	147	21	belonging	belong	VERB
cana-2346	147	22	to	to	ADP
cana-2346	147	23	the	the	DET
cana-2346	147	24	positive	positive	ADJ
cana-2346	147	25	class	class	NOUN
cana-2346	147	26	𝜎	𝜎	PROPN
cana-2346	147	27	is	be	AUX
cana-2346	147	28	the	the	DET
cana-2346	147	29	sigmoid	sigmoid	NOUN
cana-2346	147	30	function	function	NOUN
cana-2346	147	31	𝛽	𝛽	NOUN
cana-2346	147	32	0	0	NUM
cana-2346	147	33	,	,	PUNCT
cana-2346	147	34	𝛽	𝛽	PROPN
cana-2346	147	35	1	1	NUM
cana-2346	147	36	,	,	PUNCT
cana-2346	147	37	𝛽	𝛽	PROPN
cana-2346	147	38	2	2	NUM
cana-2346	147	39	…	…	PUNCT
cana-2346	147	40	+	+	NUM
cana-2346	147	41	𝛽	𝛽	NOUN
cana-2346	147	42	𝑛	𝑛	NOUN
cana-2346	147	43	are	be	AUX
cana-2346	147	44	the	the	DET
cana-2346	147	45	coefficients	coefficient	NOUN
cana-2346	147	46	𝑥1	𝑥1	PROPN
cana-2346	147	47	,	,	PUNCT
cana-2346	147	48	𝑥2	𝑥2	NOUN
cana-2346	147	49	,	,	PUNCT
cana-2346	147	50	.	.	PUNCT
cana-2346	148	1	𝑥𝑛are	𝑥𝑛are	VERB
cana-2346	148	2	the	the	DET
cana-2346	148	3	input	input	NOUN
cana-2346	148	4	features	feature	VERB
cana-2346	148	5	random	random	ADJ
cana-2346	148	6	forest	forest	NOUN
cana-2346	148	7	:	:	PUNCT
cana-2346	148	8	random	random	ADJ
cana-2346	148	9	forest	forest	NOUN
cana-2346	148	10	is	be	AUX
cana-2346	148	11	an	an	DET
cana-2346	148	12	ensemble	ensemble	ADJ
cana-2346	148	13	learning	learning	NOUN
cana-2346	148	14	method	method	NOUN
cana-2346	148	15	that	that	PRON
cana-2346	148	16	builds	build	VERB
cana-2346	148	17	multiple	multiple	ADJ
cana-2346	148	18	decision	decision	NOUN
cana-2346	148	19	trees	tree	NOUN
cana-2346	148	20	during	during	ADP
cana-2346	148	21	training	training	NOUN
cana-2346	148	22	and	and	CCONJ
cana-2346	148	23	outputs	output	VERB
cana-2346	148	24	the	the	DET
cana-2346	148	25	mode	mode	NOUN
cana-2346	148	26	of	of	ADP
cana-2346	148	27	the	the	DET
cana-2346	148	28	classes	class	NOUN
cana-2346	148	29	(	(	PUNCT
cana-2346	148	30	classification	classification	NOUN
cana-2346	148	31	)	)	PUNCT
cana-2346	148	32	or	or	CCONJ
cana-2346	148	33	the	the	DET
cana-2346	148	34	mean	mean	ADJ
cana-2346	148	35	prediction	prediction	NOUN
cana-2346	148	36	(	(	PUNCT
cana-2346	148	37	regression	regression	NOUN
cana-2346	148	38	)	)	PUNCT
cana-2346	148	39	of	of	ADP
cana-2346	148	40	individual	individual	ADJ
cana-2346	148	41	trees	tree	NOUN
cana-2346	148	42	.	.	PUNCT
cana-2346	149	1	it	it	PRON
cana-2346	149	2	improves	improve	VERB
cana-2346	149	3	prediction	prediction	NOUN
cana-2346	149	4	accuracy	accuracy	NOUN
cana-2346	149	5	and	and	CCONJ
cana-2346	149	6	reduces	reduce	VERB
cana-2346	149	7	overfitting	overfitting	NOUN
cana-2346	149	8	compared	compare	VERB
cana-2346	149	9	to	to	ADP
cana-2346	149	10	a	a	DET
cana-2346	149	11	single	single	ADJ
cana-2346	149	12	decision	decision	NOUN
cana-2346	149	13	tree	tree	NOUN
cana-2346	149	14	.	.	PUNCT
cana-2346	150	1	the	the	DET
cana-2346	150	2	actual	actual	ADJ
cana-2346	150	3	process	process	NOUN
cana-2346	150	4	is	be	AUX
cana-2346	150	5	shown	show	VERB
cana-2346	150	6	in	in	ADP
cana-2346	150	7	algorithm	algorithm	NOUN
cana-2346	150	8	2	2	NUM
cana-2346	150	9	.	.	PUNCT
cana-2346	151	1	the	the	DET
cana-2346	151	2	fundamental	fundamental	ADJ
cana-2346	151	3	component	component	NOUN
cana-2346	151	4	of	of	ADP
cana-2346	151	5	random	random	ADJ
cana-2346	151	6	forest	forest	NOUN
cana-2346	151	7	is	be	AUX
cana-2346	151	8	the	the	DET
cana-2346	151	9	decision	decision	NOUN
cana-2346	151	10	tree	tree	NOUN
cana-2346	151	11	.	.	PUNCT
cana-2346	152	1	a	a	DET
cana-2346	152	2	decision	decision	NOUN
cana-2346	152	3	tree	tree	NOUN
cana-2346	152	4	is	be	AUX
cana-2346	152	5	constructed	construct	VERB
cana-2346	152	6	recursively	recursively	ADV
cana-2346	152	7	by	by	ADP
cana-2346	152	8	splitting	split	VERB
cana-2346	152	9	the	the	DET
cana-2346	152	10	data	datum	NOUN
cana-2346	152	11	at	at	ADP
cana-2346	152	12	each	each	DET
cana-2346	152	13	node	node	NOUN
cana-2346	152	14	based	base	VERB
cana-2346	152	15	on	on	ADP
cana-2346	152	16	the	the	DET
cana-2346	152	17	feature	feature	NOUN
cana-2346	152	18	that	that	PRON
cana-2346	152	19	provides	provide	VERB
cana-2346	152	20	the	the	DET
cana-2346	152	21	best	good	ADJ
cana-2346	152	22	information	information	NOUN
cana-2346	152	23	gain	gain	NOUN
cana-2346	152	24	or	or	CCONJ
cana-2346	152	25	decrease	decrease	NOUN
cana-2346	152	26	in	in	ADP
cana-2346	152	27	impurity	impurity	NOUN
cana-2346	152	28	(	(	PUNCT
cana-2346	152	29	gini	gini	NOUN
cana-2346	152	30	impurity	impurity	NOUN
cana-2346	152	31	or	or	CCONJ
cana-2346	152	32	entropy	entropy	NOUN
cana-2346	152	33	)	)	PUNCT
cana-2346	152	34	.	.	PUNCT
cana-2346	153	1	the	the	DET
cana-2346	153	2	decision	decision	NOUN
cana-2346	153	3	tree	tree	NOUN
cana-2346	153	4	structure	structure	NOUN
cana-2346	153	5	can	can	AUX
cana-2346	153	6	be	be	AUX
cana-2346	153	7	represented	represent	VERB
cana-2346	153	8	mathematically	mathematically	ADV
cana-2346	153	9	as	as	ADP
cana-2346	153	10	:	:	PUNCT
cana-2346	153	11	𝑇𝑟𝑒𝑒(𝑥	𝑇𝑟𝑒𝑒(𝑥	NUM
cana-2346	153	12	)	)	PUNCT
cana-2346	153	13	=	=	PUNCT
cana-2346	154	1	∑	∑	PUNCT
cana-2346	154	2	𝐶𝑚	𝐶𝑚	NOUN
cana-2346	154	3	𝑀	𝑀	PROPN
cana-2346	154	4	𝑚=1	𝑚=1	X
cana-2346	154	5	𝜋(𝑥𝜖𝑅𝑚	𝜋(𝑥𝜖𝑅𝑚	NOUN
cana-2346	154	6	)	)	PUNCT
cana-2346	154	7	where	where	SCONJ
cana-2346	154	8	tree(x	tree(x	NOUN
cana-2346	154	9	)	)	PUNCT
cana-2346	154	10	represents	represent	VERB
cana-2346	154	11	the	the	DET
cana-2346	154	12	output	output	NOUN
cana-2346	154	13	of	of	ADP
cana-2346	154	14	the	the	DET
cana-2346	154	15	decision	decision	NOUN
cana-2346	154	16	tree	tree	NOUN
cana-2346	154	17	for	for	ADP
cana-2346	154	18	input	input	NOUN
cana-2346	154	19	x	x	X
cana-2346	154	20	,	,	PUNCT
cana-2346	154	21	m	m	VERB
cana-2346	154	22	is	be	AUX
cana-2346	154	23	the	the	DET
cana-2346	154	24	total	total	ADJ
cana-2346	154	25	number	number	NOUN
cana-2346	154	26	of	of	ADP
cana-2346	154	27	terminal	terminal	ADJ
cana-2346	154	28	nodes	node	NOUN
cana-2346	154	29	(	(	PUNCT
cana-2346	154	30	leaves	leave	NOUN
cana-2346	154	31	)	)	PUNCT
cana-2346	154	32	in	in	ADP
cana-2346	154	33	the	the	DET
cana-2346	154	34	tree	tree	NOUN
cana-2346	154	35	,	,	PUNCT
cana-2346	154	36	𝐶𝑚	𝐶𝑚	NOUN
cana-2346	154	37	is	be	AUX
cana-2346	154	38	the	the	DET
cana-2346	154	39	output	output	NOUN
cana-2346	154	40	value	value	NOUN
cana-2346	154	41	associated	associate	VERB
cana-2346	154	42	with	with	ADP
cana-2346	154	43	the	the	DET
cana-2346	154	44	m	m	PROPN
cana-2346	154	45	-	-	PUNCT
cana-2346	154	46	th	th	VERB
cana-2346	154	47	leaf	leaf	NOUN
cana-2346	154	48	,	,	PUNCT
cana-2346	154	49	𝜋(𝑥𝜖𝑅𝑚	𝜋(𝑥𝜖𝑅𝑚	NOUN
cana-2346	154	50	)	)	PUNCT
cana-2346	154	51	is	be	AUX
cana-2346	154	52	an	an	DET
cana-2346	154	53	indicator	indicator	NOUN
cana-2346	154	54	function	function	NOUN
cana-2346	154	55	that	that	PRON
cana-2346	154	56	returns	return	VERB
cana-2346	154	57	1	1	NUM
cana-2346	154	58	if	if	SCONJ
cana-2346	154	59	x	x	PRON
cana-2346	154	60	belongs	belong	VERB
cana-2346	154	61	to	to	ADP
cana-2346	154	62	the	the	DET
cana-2346	154	63	region	region	NOUN
cana-2346	154	64	represented	represent	VERB
cana-2346	154	65	by	by	ADP
cana-2346	154	66	the	the	DET
cana-2346	154	67	m	m	PROPN
cana-2346	154	68	-	-	PUNCT
cana-2346	154	69	th	th	VERB
cana-2346	154	70	leaf	leaf	NOUN
cana-2346	154	71	,	,	PUNCT
cana-2346	154	72	and	and	CCONJ
cana-2346	154	73	0	0	NUM
cana-2346	154	74	otherwise	otherwise	ADV
cana-2346	154	75	.	.	PUNCT
cana-2346	155	1	gradient	gradient	ADJ
cana-2346	155	2	boosting	boosting	NOUN
cana-2346	155	3	:	:	PUNCT
cana-2346	155	4	explanation	explanation	NOUN
cana-2346	155	5	:	:	PUNCT
cana-2346	155	6	gradient	gradient	ADJ
cana-2346	155	7	boosting	boost	VERB
cana-2346	155	8	is	be	AUX
cana-2346	155	9	another	another	DET
cana-2346	155	10	ensemble	ensemble	ADJ
cana-2346	155	11	learning	learning	NOUN
cana-2346	155	12	technique	technique	NOUN
cana-2346	155	13	that	that	PRON
cana-2346	155	14	builds	build	VERB
cana-2346	155	15	a	a	DET
cana-2346	155	16	strong	strong	ADJ
cana-2346	155	17	predictive	predictive	ADJ
cana-2346	155	18	model	model	NOUN
cana-2346	155	19	by	by	ADP
cana-2346	155	20	combining	combine	VERB
cana-2346	155	21	multiple	multiple	ADJ
cana-2346	155	22	weak	weak	ADJ
cana-2346	155	23	learners	learner	NOUN
cana-2346	155	24	(	(	PUNCT
cana-2346	155	25	usually	usually	ADV
cana-2346	155	26	decision	decision	NOUN
cana-2346	155	27	trees	tree	NOUN
cana-2346	155	28	)	)	PUNCT
cana-2346	155	29	sequentially	sequentially	ADV
cana-2346	155	30	.	.	PUNCT
cana-2346	156	1	it	it	PRON
cana-2346	156	2	minimizes	minimize	VERB
cana-2346	156	3	the	the	DET
cana-2346	156	4	errors	error	NOUN
cana-2346	156	5	of	of	ADP
cana-2346	156	6	the	the	DET
cana-2346	156	7	previous	previous	ADJ
cana-2346	156	8	models	model	NOUN
cana-2346	156	9	by	by	ADP
cana-2346	156	10	optimizing	optimize	VERB
cana-2346	156	11	a	a	DET
cana-2346	156	12	loss	loss	NOUN
cana-2346	156	13	function	function	NOUN
cana-2346	156	14	using	use	VERB
cana-2346	156	15	gradient	gradient	ADJ
cana-2346	156	16	descent	descent	NOUN
cana-2346	156	17	.	.	PUNCT
cana-2346	157	1	the	the	DET
cana-2346	157	2	actual	actual	ADJ
cana-2346	157	3	process	process	NOUN
cana-2346	157	4	is	be	AUX
cana-2346	157	5	shown	show	VERB
cana-2346	157	6	in	in	ADP
cana-2346	157	7	algorithm	algorithm	NOUN
cana-2346	157	8	3	3	NUM
cana-2346	157	9	.	.	PUNCT
cana-2346	157	10	communications	communication	NOUN
cana-2346	157	11	on	on	ADP
cana-2346	157	12	applied	apply	VERB
cana-2346	157	13	nonlinear	nonlinear	ADJ
cana-2346	157	14	analysis	analysis	NOUN
cana-2346	157	15	issn	issn	NOUN
cana-2346	157	16	:	:	PUNCT
cana-2346	157	17	1074	1074	NUM
cana-2346	157	18	-	-	PUNCT
cana-2346	157	19	133x	133x	NUM
cana-2346	157	20	vol	vol	NOUN
cana-2346	157	21	32	32	NUM
cana-2346	157	22	no	no	NOUN
cana-2346	157	23	.	.	PUNCT
cana-2346	158	1	1s	1s	NUM
cana-2346	158	2	(	(	PUNCT
cana-2346	158	3	2025	2025	NUM
cana-2346	158	4	)	)	PUNCT
cana-2346	158	5	592	592	NUM
cana-2346	158	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	158	7	the	the	DET
cana-2346	158	8	gradient	gradient	NOUN
cana-2346	158	9	boosting	boost	VERB
cana-2346	158	10	algorithm	algorithm	NOUN
cana-2346	158	11	optimizes	optimize	VERB
cana-2346	158	12	a	a	DET
cana-2346	158	13	loss	loss	NOUN
cana-2346	158	14	function	function	NOUN
cana-2346	158	15	using	use	VERB
cana-2346	158	16	gradient	gradient	ADJ
cana-2346	158	17	descent	descent	NOUN
cana-2346	158	18	.	.	PUNCT
cana-2346	159	1	the	the	DET
cana-2346	159	2	update	update	NOUN
cana-2346	159	3	rule	rule	NOUN
cana-2346	159	4	for	for	ADP
cana-2346	159	5	each	each	DET
cana-2346	159	6	iteration	iteration	NOUN
cana-2346	159	7	t	t	PROPN
cana-2346	159	8	is	be	AUX
cana-2346	159	9	given	give	VERB
cana-2346	159	10	by	by	ADP
cana-2346	159	11	𝐹𝑡(𝑥	𝐹𝑡(𝑥	NOUN
cana-2346	159	12	)	)	PUNCT
cana-2346	159	13	=	=	SYM
cana-2346	159	14	𝐹𝑡−1(𝑥	𝐹𝑡−1(𝑥	X
cana-2346	159	15	)	)	PUNCT
cana-2346	159	16	+	+	CCONJ
cana-2346	159	17	𝜂ℎ𝑡(𝑥	𝜂ℎ𝑡(𝑥	PROPN
cana-2346	159	18	)	)	PUNCT
cana-2346	159	19	where	where	SCONJ
cana-2346	159	20	𝐹𝑡(𝑥	𝐹𝑡(𝑥	NOUN
cana-2346	159	21	)	)	PUNCT
cana-2346	159	22	is	be	AUX
cana-2346	159	23	the	the	DET
cana-2346	159	24	prediction	prediction	NOUN
cana-2346	159	25	of	of	ADP
cana-2346	159	26	the	the	DET
cana-2346	159	27	ensemble	ensemble	ADJ
cana-2346	159	28	at	at	ADP
cana-2346	159	29	iteration	iteration	NOUN
cana-2346	159	30	𝑡	𝑡	PROPN
cana-2346	159	31	,	,	PUNCT
cana-2346	159	32	𝐹𝑡−1(𝑥	𝐹𝑡−1(𝑥	NUM
cana-2346	159	33	)	)	PUNCT
cana-2346	159	34	is	be	AUX
cana-2346	159	35	the	the	DET
cana-2346	159	36	prediction	prediction	NOUN
cana-2346	159	37	at	at	ADP
cana-2346	159	38	iteration	iteration	PROPN
cana-2346	159	39	t-1	t-1	PROPN
cana-2346	159	40	,	,	PUNCT
cana-2346	159	41	𝜂	𝜂	PROPN
cana-2346	159	42	is	be	AUX
cana-2346	159	43	the	the	DET
cana-2346	159	44	learning	learning	NOUN
cana-2346	159	45	rate	rate	NOUN
cana-2346	159	46	,	,	PUNCT
cana-2346	159	47	and	and	CCONJ
cana-2346	159	48	ℎ𝑡(𝑥	ℎ𝑡(𝑥	NUM
cana-2346	159	49	)	)	PUNCT
cana-2346	159	50	is	be	AUX
cana-2346	159	51	the	the	DET
cana-2346	159	52	prediction	prediction	NOUN
cana-2346	159	53	of	of	ADP
cana-2346	159	54	the	the	DET
cana-2346	159	55	weak	weak	ADJ
cana-2346	159	56	learner	learner	NOUN
cana-2346	159	57	at	at	ADP
cana-2346	159	58	iteration	iteration	NOUN
cana-2346	159	59	t	t	PROPN
cana-2346	160	1	xgboost	xgboost	NOUN
cana-2346	160	2	:	:	PUNCT
cana-2346	161	1	xgboost	xgboost	X
cana-2346	161	2	(	(	PUNCT
cana-2346	161	3	extreme	extreme	ADJ
cana-2346	161	4	gradient	gradient	NOUN
cana-2346	161	5	boosting	boosting	NOUN
cana-2346	161	6	)	)	PUNCT
cana-2346	161	7	is	be	AUX
cana-2346	161	8	an	an	DET
cana-2346	161	9	optimized	optimize	VERB
cana-2346	161	10	implementation	implementation	NOUN
cana-2346	161	11	of	of	ADP
cana-2346	161	12	the	the	DET
cana-2346	161	13	gradient	gradient	NOUN
cana-2346	161	14	boosting	boost	VERB
cana-2346	161	15	algorithm	algorithm	NOUN
cana-2346	161	16	,	,	PUNCT
cana-2346	161	17	known	know	VERB
cana-2346	161	18	for	for	ADP
cana-2346	161	19	its	its	PRON
cana-2346	161	20	speed	speed	NOUN
cana-2346	161	21	and	and	CCONJ
cana-2346	161	22	performance	performance	NOUN
cana-2346	161	23	.	.	PUNCT
cana-2346	162	1	it	it	PRON
cana-2346	162	2	enhances	enhance	VERB
cana-2346	162	3	traditional	traditional	ADJ
cana-2346	162	4	gradient	gradient	NOUN
cana-2346	162	5	boosting	boost	VERB
cana-2346	162	6	by	by	ADP
cana-2346	162	7	introducing	introduce	VERB
cana-2346	162	8	several	several	ADJ
cana-2346	162	9	regularization	regularization	NOUN
cana-2346	162	10	techniques	technique	NOUN
cana-2346	162	11	and	and	CCONJ
cana-2346	162	12	parallel	parallel	ADJ
cana-2346	162	13	processing	processing	NOUN
cana-2346	162	14	.	.	PUNCT
cana-2346	163	1	the	the	DET
cana-2346	163	2	actual	actual	ADJ
cana-2346	163	3	process	process	NOUN
cana-2346	163	4	is	be	AUX
cana-2346	163	5	shown	show	VERB
cana-2346	163	6	in	in	ADP
cana-2346	163	7	algorithm	algorithm	NOUN
cana-2346	163	8	4	4	NUM
cana-2346	163	9	.	.	PUNCT
cana-2346	163	10	mathematical	mathematical	ADJ
cana-2346	163	11	equations	equation	NOUN
cana-2346	163	12	:	:	PUNCT
cana-2346	163	13	the	the	DET
cana-2346	163	14	objective	objective	ADJ
cana-2346	163	15	function	function	NOUN
cana-2346	163	16	of	of	ADP
cana-2346	163	17	xgboost	xgboost	ADV
cana-2346	163	18	combines	combine	VERB
cana-2346	163	19	the	the	DET
cana-2346	163	20	loss	loss	NOUN
cana-2346	163	21	function	function	NOUN
cana-2346	163	22	and	and	CCONJ
cana-2346	163	23	regularization	regularization	NOUN
cana-2346	163	24	terms	term	NOUN
cana-2346	163	25	.	.	PUNCT
cana-2346	164	1	for	for	ADP
cana-2346	164	2	regression	regression	NOUN
cana-2346	164	3	problems	problem	NOUN
cana-2346	164	4	,	,	PUNCT
cana-2346	164	5	the	the	DET
cana-2346	164	6	objective	objective	ADJ
cana-2346	164	7	function	function	NOUN
cana-2346	164	8	is	be	AUX
cana-2346	164	9	typically	typically	ADV
cana-2346	164	10	the	the	DET
cana-2346	164	11	sum	sum	NOUN
cana-2346	164	12	of	of	ADP
cana-2346	164	13	squared	square	VERB
cana-2346	164	14	errors	error	NOUN
cana-2346	164	15	plus	plus	CCONJ
cana-2346	164	16	regularization	regularization	NOUN
cana-2346	164	17	terms	term	NOUN
cana-2346	164	18	.	.	PUNCT
cana-2346	165	1	for	for	ADP
cana-2346	165	2	classification	classification	NOUN
cana-2346	165	3	,	,	PUNCT
cana-2346	165	4	it	it	PRON
cana-2346	165	5	's	be	AUX
cana-2346	165	6	usually	usually	ADV
cana-2346	165	7	the	the	DET
cana-2346	165	8	log	log	NOUN
cana-2346	165	9	loss	loss	NOUN
cana-2346	165	10	plus	plus	CCONJ
cana-2346	165	11	regularization	regularization	NOUN
cana-2346	165	12	terms	term	NOUN
cana-2346	165	13	.	.	PUNCT
cana-2346	166	1	the	the	DET
cana-2346	166	2	model	model	NOUN
cana-2346	166	3	is	be	AUX
cana-2346	166	4	trained	train	VERB
cana-2346	166	5	by	by	ADP
cana-2346	166	6	minimizing	minimize	VERB
cana-2346	166	7	this	this	DET
cana-2346	166	8	objective	objective	ADJ
cana-2346	166	9	function	function	NOUN
cana-2346	166	10	using	use	VERB
cana-2346	166	11	gradient	gradient	ADJ
cana-2346	166	12	descent	descent	NOUN
cana-2346	166	13	in	in	ADP
cana-2346	166	14	xgboost	xgboost	PROPN
cana-2346	166	15	,	,	PUNCT
cana-2346	166	16	the	the	DET
cana-2346	166	17	objective	objective	ADJ
cana-2346	166	18	function	function	NOUN
cana-2346	166	19	combines	combine	VERB
cana-2346	166	20	the	the	DET
cana-2346	166	21	loss	loss	NOUN
cana-2346	166	22	function	function	NOUN
cana-2346	166	23	and	and	CCONJ
cana-2346	166	24	regularization	regularization	NOUN
cana-2346	166	25	terms	term	NOUN
cana-2346	166	26	.	.	PUNCT
cana-2346	167	1	for	for	ADP
cana-2346	167	2	regression	regression	NOUN
cana-2346	167	3	problems	problem	NOUN
cana-2346	167	4	,	,	PUNCT
cana-2346	167	5	the	the	DET
cana-2346	167	6	objective	objective	ADJ
cana-2346	167	7	function	function	NOUN
cana-2346	167	8	is	be	AUX
cana-2346	167	9	typically	typically	ADV
cana-2346	167	10	the	the	DET
cana-2346	167	11	sum	sum	NOUN
cana-2346	167	12	of	of	ADP
cana-2346	167	13	squared	square	VERB
cana-2346	167	14	errors	error	NOUN
cana-2346	167	15	(	(	PUNCT
cana-2346	167	16	sse	sse	NOUN
cana-2346	167	17	)	)	PUNCT
cana-2346	167	18	plus	plus	CCONJ
cana-2346	167	19	regularization	regularization	NOUN
cana-2346	167	20	terms	term	NOUN
cana-2346	167	21	.	.	PUNCT
cana-2346	168	1	for	for	ADP
cana-2346	168	2	classification	classification	NOUN
cana-2346	168	3	,	,	PUNCT
cana-2346	168	4	it	it	PRON
cana-2346	168	5	's	be	AUX
cana-2346	168	6	usually	usually	ADV
cana-2346	168	7	the	the	DET
cana-2346	168	8	log	log	NOUN
cana-2346	168	9	loss	loss	NOUN
cana-2346	168	10	plus	plus	CCONJ
cana-2346	168	11	regularization	regularization	NOUN
cana-2346	168	12	terms	term	NOUN
cana-2346	168	13	.	.	PUNCT
cana-2346	169	1	here	here	ADV
cana-2346	169	2	are	be	AUX
cana-2346	169	3	the	the	DET
cana-2346	169	4	formulas	formula	NOUN
cana-2346	169	5	for	for	ADP
cana-2346	169	6	the	the	DET
cana-2346	169	7	loss	loss	NOUN
cana-2346	169	8	function	function	NOUN
cana-2346	169	9	and	and	CCONJ
cana-2346	169	10	regularization	regularization	NOUN
cana-2346	169	11	used	use	VERB
cana-2346	169	12	in	in	ADP
cana-2346	169	13	xgboost	xgboost	PROPN
cana-2346	169	14	.	.	PUNCT
cana-2346	170	1	loss	loss	NOUN
cana-2346	170	2	function	function	NOUN
cana-2346	170	3	:	:	PUNCT
cana-2346	170	4	for	for	ADP
cana-2346	170	5	regression	regression	NOUN
cana-2346	170	6	problems	problem	NOUN
cana-2346	170	7	,	,	PUNCT
cana-2346	170	8	the	the	DET
cana-2346	170	9	loss	loss	NOUN
cana-2346	170	10	function	function	NOUN
cana-2346	170	11	(	(	PUNCT
cana-2346	170	12	l	l	NOUN
cana-2346	170	13	)	)	PUNCT
cana-2346	170	14	used	use	VERB
cana-2346	170	15	in	in	ADP
cana-2346	170	16	xgboost	xgboost	ADV
cana-2346	170	17	is	be	AUX
cana-2346	170	18	often	often	ADV
cana-2346	170	19	the	the	DET
cana-2346	170	20	mean	mean	ADJ
cana-2346	170	21	squared	square	VERB
cana-2346	170	22	error	error	NOUN
cana-2346	170	23	(	(	PUNCT
cana-2346	170	24	mse	mse	NOUN
cana-2346	170	25	)	)	PUNCT
cana-2346	170	26	or	or	CCONJ
cana-2346	170	27	its	its	PRON
cana-2346	170	28	variant	variant	NOUN
cana-2346	170	29	,	,	PUNCT
cana-2346	170	30	the	the	DET
cana-2346	170	31	mean	mean	ADJ
cana-2346	170	32	absolute	absolute	ADJ
cana-2346	170	33	error	error	NOUN
cana-2346	170	34	(	(	PUNCT
cana-2346	170	35	mae	mae	PROPN
cana-2346	170	36	)	)	PUNCT
cana-2346	170	37	.	.	PUNCT
cana-2346	171	1	the	the	DET
cana-2346	171	2	mse	mse	PROPN
cana-2346	171	3	is	be	AUX
cana-2346	171	4	calculated	calculate	VERB
cana-2346	171	5	as	as	ADP
cana-2346	171	6	the	the	DET
cana-2346	171	7	average	average	NOUN
cana-2346	171	8	of	of	ADP
cana-2346	171	9	the	the	DET
cana-2346	171	10	squared	square	VERB
cana-2346	171	11	differences	difference	NOUN
cana-2346	171	12	between	between	ADP
cana-2346	171	13	the	the	DET
cana-2346	171	14	predicted	predict	VERB
cana-2346	171	15	values	value	NOUN
cana-2346	171	16	and	and	CCONJ
cana-2346	171	17	the	the	DET
cana-2346	171	18	actual	actual	ADJ
cana-2346	171	19	values	value	NOUN
cana-2346	171	20	:	:	PUNCT
cana-2346	171	21	𝐿𝑟𝑒𝑔(𝑦𝑖	𝐿𝑟𝑒𝑔(𝑦𝑖	ADJ
cana-2346	171	22	,	,	PUNCT
cana-2346	171	23	𝑦	𝑦	NOUN
cana-2346	171	24	�	�	NOUN
cana-2346	171	25	̂	̂	SYM
cana-2346	171	26	�	�	NOUN
cana-2346	171	27	)	)	PUNCT
cana-2346	171	28	=	=	SYM
cana-2346	172	1	1	1	NUM
cana-2346	172	2	𝑛	𝑛	PRON
cana-2346	172	3	∑(𝑦𝑖	∑(𝑦𝑖	PROPN
cana-2346	172	4	−	−	PROPN
cana-2346	172	5	𝑦	𝑦	SYM
cana-2346	172	6	�	�	PROPN
cana-2346	172	7	̂	̂	SYM
cana-2346	172	8	�	�	NOUN
cana-2346	172	9	)	)	PUNCT
cana-2346	172	10	2	2	NUM
cana-2346	172	11	𝑛	𝑛	PROPN
cana-2346	172	12	𝑖=1	𝑖=1	PROPN
cana-2346	172	13	where	where	SCONJ
cana-2346	172	14	:	:	PUNCT
cana-2346	172	15	𝑦𝑖	𝑦𝑖	INTJ
cana-2346	172	16	𝑖𝑠	𝑖𝑠	INTJ
cana-2346	172	17	𝑡ℎ𝑒	𝑡ℎ𝑒	INTJ
cana-2346	172	18	𝑎𝑐𝑡𝑢𝑎𝑙	𝑎𝑐𝑡𝑢𝑎𝑙	PROPN
cana-2346	172	19	𝑡𝑎𝑟𝑔𝑒𝑡	𝑡𝑎𝑟𝑔𝑒𝑡	ADV
cana-2346	172	20	𝑣𝑎𝑙𝑢𝑒	𝑣𝑎𝑙𝑢𝑒	VERB
cana-2346	172	21	𝑓𝑜𝑟	𝑓𝑜𝑟	ADV
cana-2346	172	22	𝑡ℎ𝑒	𝑡ℎ𝑒	NOUN
cana-2346	172	23	𝑖	𝑖	SYM
cana-2346	172	24	−	−	PROPN
cana-2346	172	25	𝑡ℎ	𝑡ℎ	PROPN
cana-2346	172	26	𝑖𝑛𝑠𝑡𝑎𝑛𝑐𝑒	𝑖𝑛𝑠𝑡𝑎𝑛𝑐𝑒	NOUN
cana-2346	172	27	communications	communication	NOUN
cana-2346	172	28	on	on	ADP
cana-2346	172	29	applied	apply	VERB
cana-2346	172	30	nonlinear	nonlinear	ADJ
cana-2346	172	31	analysis	analysis	NOUN
cana-2346	172	32	issn	issn	NOUN
cana-2346	172	33	:	:	PUNCT
cana-2346	172	34	1074	1074	NUM
cana-2346	172	35	-	-	PUNCT
cana-2346	172	36	133x	133x	NUM
cana-2346	172	37	vol	vol	NOUN
cana-2346	172	38	32	32	NUM
cana-2346	172	39	no	no	NOUN
cana-2346	172	40	.	.	PUNCT
cana-2346	173	1	1s	1s	NUM
cana-2346	173	2	(	(	PUNCT
cana-2346	173	3	2025	2025	NUM
cana-2346	173	4	)	)	PUNCT
cana-2346	173	5	593	593	NUM
cana-2346	173	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	173	7	𝑦	𝑦	SYM
cana-2346	173	8	�	�	PROPN
cana-2346	173	9	̂	̂	SYM
cana-2346	173	10	�	�	PROPN
cana-2346	173	11	𝑖𝑠	𝑖𝑠	PART
cana-2346	173	12	𝑡ℎ𝑒	𝑡ℎ𝑒	ADJ
cana-2346	173	13	𝑝𝑟𝑒𝑑𝑖𝑐𝑡𝑒𝑑	𝑝𝑟𝑒𝑑𝑖𝑐𝑡𝑒𝑑	NOUN
cana-2346	173	14	𝑡𝑎𝑟𝑔𝑒𝑡	𝑡𝑎𝑟𝑔𝑒𝑡	ADV
cana-2346	173	15	𝑣𝑎𝑙𝑢𝑒	𝑣𝑎𝑙𝑢𝑒	VERB
cana-2346	173	16	𝑓𝑜𝑟	𝑓𝑜𝑟	ADV
cana-2346	173	17	𝑡ℎ𝑒	𝑡ℎ𝑒	NOUN
cana-2346	173	18	𝑖	𝑖	SYM
cana-2346	173	19	−	−	PROPN
cana-2346	173	20	𝑡ℎ	𝑡ℎ	PROPN
cana-2346	173	21	𝑖𝑛𝑠𝑡𝑎𝑛𝑐𝑒	𝑖𝑛𝑠𝑡𝑎𝑛𝑐𝑒	NOUN
cana-2346	173	22	,	,	PUNCT
cana-2346	173	23	𝑛	𝑛	DET
cana-2346	173	24	𝑖𝑠	𝑖𝑠	NOUN
cana-2346	173	25	𝑡ℎ𝑒	𝑡ℎ𝑒	ADJ
cana-2346	173	26	𝑡𝑜𝑡𝑎𝑙	𝑡𝑜𝑡𝑎𝑙	NOUN
cana-2346	173	27	𝑛𝑢𝑚𝑏𝑒𝑟	𝑛𝑢𝑚𝑏𝑒𝑟	NOUN
cana-2346	173	28	𝑜𝑓	𝑜𝑓	ADP
cana-2346	173	29	𝑖𝑛𝑠𝑡𝑎𝑛𝑐𝑒𝑠	𝑖𝑛𝑠𝑡𝑎𝑛𝑐𝑒𝑠	PROPN
cana-2346	173	30	for	for	ADP
cana-2346	173	31	classification	classification	NOUN
cana-2346	173	32	problems	problem	NOUN
cana-2346	173	33	,	,	PUNCT
cana-2346	173	34	xgboost	xgboost	ADV
cana-2346	173	35	commonly	commonly	ADV
cana-2346	173	36	uses	use	VERB
cana-2346	173	37	the	the	DET
cana-2346	173	38	softmax	softmax	NOUN
cana-2346	173	39	loss	loss	NOUN
cana-2346	173	40	function	function	NOUN
cana-2346	173	41	for	for	ADP
cana-2346	173	42	multi	multi	ADJ
cana-2346	173	43	-	-	ADJ
cana-2346	173	44	class	class	ADJ
cana-2346	173	45	classification	classification	NOUN
cana-2346	173	46	or	or	CCONJ
cana-2346	173	47	the	the	DET
cana-2346	173	48	logistic	logistic	ADJ
cana-2346	173	49	loss	loss	NOUN
cana-2346	173	50	function	function	NOUN
cana-2346	173	51	(	(	PUNCT
cana-2346	173	52	binary	binary	PROPN
cana-2346	173	53	cross	cross	NOUN
cana-2346	173	54	-	-	NOUN
cana-2346	173	55	entropy	entropy	NOUN
cana-2346	173	56	)	)	PUNCT
cana-2346	173	57	for	for	ADP
cana-2346	173	58	binary	binary	ADJ
cana-2346	173	59	classification	classification	NOUN
cana-2346	173	60	.	.	PUNCT
cana-2346	174	1	regularization	regularization	NOUN
cana-2346	174	2	:	:	PUNCT
cana-2346	174	3	xgboost	xgboost	X
cana-2346	174	4	employs	employ	VERB
cana-2346	174	5	both	both	DET
cana-2346	174	6	l1	l1	PROPN
cana-2346	174	7	(	(	PUNCT
cana-2346	174	8	lasso	lasso	PROPN
cana-2346	174	9	)	)	PUNCT
cana-2346	174	10	and	and	CCONJ
cana-2346	174	11	l2	l2	NOUN
cana-2346	174	12	(	(	PUNCT
cana-2346	174	13	ridge	ridge	NOUN
cana-2346	174	14	)	)	PUNCT
cana-2346	174	15	regularization	regularization	NOUN
cana-2346	174	16	terms	term	NOUN
cana-2346	174	17	to	to	PART
cana-2346	174	18	prevent	prevent	VERB
cana-2346	174	19	overfitting	overfitting	NOUN
cana-2346	174	20	and	and	CCONJ
cana-2346	174	21	improve	improve	VERB
cana-2346	174	22	the	the	DET
cana-2346	174	23	generalization	generalization	NOUN
cana-2346	174	24	ability	ability	NOUN
cana-2346	174	25	of	of	ADP
cana-2346	174	26	the	the	DET
cana-2346	174	27	model	model	NOUN
cana-2346	174	28	.	.	PUNCT
cana-2346	175	1	regularization	regularization	NOUN
cana-2346	175	2	terms	term	NOUN
cana-2346	175	3	are	be	AUX
cana-2346	175	4	added	add	VERB
cana-2346	175	5	to	to	ADP
cana-2346	175	6	the	the	DET
cana-2346	175	7	objective	objective	ADJ
cana-2346	175	8	function	function	NOUN
cana-2346	175	9	to	to	PART
cana-2346	175	10	penalize	penalize	VERB
cana-2346	175	11	large	large	ADJ
cana-2346	175	12	coefficient	coefficient	NOUN
cana-2346	175	13	values	value	NOUN
cana-2346	175	14	.	.	PUNCT
cana-2346	176	1	for	for	ADP
cana-2346	176	2	l1	l1	PROPN
cana-2346	176	3	regularization	regularization	NOUN
cana-2346	176	4	,	,	PUNCT
cana-2346	176	5	the	the	DET
cana-2346	176	6	regularization	regularization	NOUN
cana-2346	176	7	term(r1	term(r1	NOUN
cana-2346	176	8	)	)	PUNCT
cana-2346	176	9	is	be	AUX
cana-2346	176	10	the	the	DET
cana-2346	176	11	sum	sum	NOUN
cana-2346	176	12	of	of	ADP
cana-2346	176	13	the	the	DET
cana-2346	176	14	absolute	absolute	ADJ
cana-2346	176	15	values	value	NOUN
cana-2346	176	16	of	of	ADP
cana-2346	176	17	the	the	DET
cana-2346	176	18	coefficients	coefficient	NOUN
cana-2346	176	19	multiplied	multiply	VERB
cana-2346	176	20	by	by	ADP
cana-2346	176	21	a	a	DET
cana-2346	176	22	regularization	regularization	NOUN
cana-2346	176	23	parameter	parameter	NOUN
cana-2346	176	24	(	(	PUNCT
cana-2346	176	25	𝜆1	𝜆1	PROPN
cana-2346	176	26	)	)	PUNCT
cana-2346	176	27	𝑅1	𝑅1	NOUN
cana-2346	176	28	=	=	PUNCT
cana-2346	176	29	𝜆1	𝜆1	PROPN
cana-2346	176	30	∑	∑	ADV
cana-2346	176	31	|𝑤𝑗|	|𝑤𝑗|	ADV
cana-2346	176	32	𝑝	𝑝	PROPN
cana-2346	176	33	𝑗=1	𝑗=1	PROPN
cana-2346	176	34	for	for	ADP
cana-2346	176	35	l2	l2	NOUN
cana-2346	176	36	regularization	regularization	NOUN
cana-2346	176	37	,	,	PUNCT
cana-2346	176	38	the	the	DET
cana-2346	176	39	regularization	regularization	NOUN
cana-2346	176	40	term(r2	term(r2	NOUN
cana-2346	176	41	)	)	PUNCT
cana-2346	176	42	is	be	AUX
cana-2346	176	43	the	the	DET
cana-2346	176	44	sum	sum	NOUN
cana-2346	176	45	of	of	ADP
cana-2346	176	46	the	the	DET
cana-2346	176	47	squared	square	VERB
cana-2346	176	48	coefficients	coefficient	NOUN
cana-2346	176	49	multiplied	multiply	VERB
cana-2346	176	50	by	by	ADP
cana-2346	176	51	a	a	DET
cana-2346	176	52	regularization	regularization	NOUN
cana-2346	176	53	parameter(𝜆2	parameter(𝜆2	ADJ
cana-2346	176	54	)	)	PUNCT
cana-2346	176	55	𝑅2	𝑅2	ADP
cana-2346	176	56	=	=	SYM
cana-2346	176	57	𝜆2	𝜆2	PROPN
cana-2346	176	58	∑	∑	PUNCT
cana-2346	176	59	𝑤𝑗	𝑤𝑗	PROPN
cana-2346	176	60	2	2	NUM
cana-2346	176	61	𝑝	𝑝	PROPN
cana-2346	176	62	𝑗=1	𝑗=1	PROPN
cana-2346	176	63	where	where	SCONJ
cana-2346	176	64	:	:	PUNCT
cana-2346	176	65	𝑤𝑗	𝑤𝑗	PART
cana-2346	176	66	𝑖𝑠	𝑖𝑠	VERB
cana-2346	176	67	𝑡ℎ𝑒	𝑡ℎ𝑒	VERB
cana-2346	176	68	𝑐𝑜𝑒𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑡	𝑐𝑜𝑒𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑡	ADJ
cana-2346	176	69	𝑓𝑜𝑟	𝑓𝑜𝑟	ADV
cana-2346	176	70	𝑡ℎ𝑒	𝑡ℎ𝑒	NOUN
cana-2346	176	71	𝑗	𝑗	INTJ
cana-2346	176	72	−	−	PROPN
cana-2346	176	73	𝑡ℎ	𝑡ℎ	NOUN
cana-2346	176	74	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	NOUN
cana-2346	176	75	,	,	PUNCT
cana-2346	176	76	𝑝	𝑝	PROPN
cana-2346	176	77	𝑖𝑠	𝑖𝑠	NOUN
cana-2346	176	78	𝑡ℎ𝑒	𝑡ℎ𝑒	ADJ
cana-2346	176	79	𝑡𝑜𝑡𝑎𝑙	𝑡𝑜𝑡𝑎𝑙	NOUN
cana-2346	176	80	𝑛𝑢𝑚𝑏𝑒𝑟	𝑛𝑢𝑚𝑏𝑒𝑟	NOUN
cana-2346	176	81	𝑜𝑓	𝑜𝑓	ADP
cana-2346	176	82	𝑓𝑒𝑎𝑡𝑢𝑟𝑒𝑠	𝑓𝑒𝑎𝑡𝑢𝑟𝑒𝑠	NOUN
cana-2346	176	83	,	,	PUNCT
cana-2346	176	84	𝜆1	𝜆1	VERB
cana-2346	176	85	and	and	CCONJ
cana-2346	176	86	𝜆2are	𝜆2are	VERB
cana-2346	176	87	regularization	regularization	NOUN
cana-2346	176	88	parameters	parameter	NOUN
cana-2346	176	89	that	that	PRON
cana-2346	176	90	control	control	VERB
cana-2346	176	91	the	the	DET
cana-2346	176	92	strength	strength	NOUN
cana-2346	176	93	of	of	ADP
cana-2346	176	94	regularization	regularization	NOUN
cana-2346	176	95	.	.	PUNCT
cana-2346	177	1	dataset	dataset	VERB
cana-2346	177	2	the	the	DET
cana-2346	177	3	dataset	dataset	NOUN
cana-2346	177	4	includes	include	VERB
cana-2346	177	5	the	the	DET
cana-2346	177	6	n	n	CCONJ
cana-2346	177	7	,	,	PUNCT
cana-2346	177	8	p	p	X
cana-2346	177	9	,	,	PUNCT
cana-2346	177	10	k	k	PROPN
cana-2346	177	11	ratios	ratio	NOUN
cana-2346	177	12	of	of	ADP
cana-2346	177	13	soil	soil	NOUN
cana-2346	177	14	content	content	NOUN
cana-2346	177	15	,	,	PUNCT
cana-2346	177	16	temperature	temperature	NOUN
cana-2346	177	17	in	in	ADP
cana-2346	177	18	celsius	celsius	NOUN
cana-2346	177	19	,	,	PUNCT
cana-2346	177	20	humidity	humidity	NOUN
cana-2346	177	21	in	in	ADP
cana-2346	177	22	%	%	NOUN
cana-2346	177	23	,	,	PUNCT
cana-2346	177	24	soil	soil	NOUN
cana-2346	177	25	ph	ph	NOUN
cana-2346	177	26	value	value	NOUN
cana-2346	177	27	,	,	PUNCT
cana-2346	177	28	and	and	CCONJ
cana-2346	177	29	rainfall	rainfall	NOUN
cana-2346	177	30	in	in	ADP
cana-2346	177	31	mm	mm	PROPN
cana-2346	177	32	features	feature	NOUN
cana-2346	177	33	,	,	PUNCT
cana-2346	177	34	which	which	PRON
cana-2346	177	35	are	be	AUX
cana-2346	177	36	outlined	outline	VERB
cana-2346	177	37	here	here	ADV
cana-2346	177	38	.	.	PUNCT
cana-2346	178	1	n	n	DET
cana-2346	178	2	nitrogen	nitrogen	NOUN
cana-2346	178	3	content	content	NOUN
cana-2346	178	4	ratio	ratio	NOUN
cana-2346	178	5	in	in	ADP
cana-2346	178	6	soil	soil	NOUN
cana-2346	178	7	:	:	PUNCT
cana-2346	178	8	this	this	DET
cana-2346	178	9	characteristic	characteristic	ADJ
cana-2346	178	10	signifies	signify	VERB
cana-2346	178	11	the	the	DET
cana-2346	178	12	proportion	proportion	NOUN
cana-2346	178	13	of	of	ADP
cana-2346	178	14	nitrogen	nitrogen	NOUN
cana-2346	178	15	content	content	NOUN
cana-2346	178	16	within	within	ADP
cana-2346	178	17	the	the	DET
cana-2346	178	18	soil	soil	NOUN
cana-2346	178	19	.	.	PUNCT
cana-2346	179	1	analyzing	analyze	VERB
cana-2346	179	2	this	this	DET
cana-2346	179	3	characteristic	characteristic	NOUN
cana-2346	179	4	will	will	AUX
cana-2346	179	5	help	help	VERB
cana-2346	179	6	you	you	PRON
cana-2346	179	7	comprehend	comprehend	VERB
cana-2346	179	8	how	how	SCONJ
cana-2346	179	9	nitrogen	nitrogen	NOUN
cana-2346	179	10	levels	level	NOUN
cana-2346	179	11	are	be	AUX
cana-2346	179	12	spread	spread	VERB
cana-2346	179	13	out	out	ADP
cana-2346	179	14	in	in	ADP
cana-2346	179	15	your	your	PRON
cana-2346	179	16	dataset	dataset	NOUN
cana-2346	179	17	.	.	PUNCT
cana-2346	180	1	it	it	PRON
cana-2346	180	2	is	be	AUX
cana-2346	180	3	important	important	ADJ
cana-2346	180	4	because	because	SCONJ
cana-2346	180	5	nitrogen	nitrogen	NOUN
cana-2346	180	6	is	be	AUX
cana-2346	180	7	essential	essential	ADJ
cana-2346	180	8	for	for	ADP
cana-2346	180	9	plant	plant	NOUN
cana-2346	180	10	growth	growth	NOUN
cana-2346	180	11	,	,	PUNCT
cana-2346	180	12	and	and	CCONJ
cana-2346	180	13	its	its	PRON
cana-2346	180	14	presence	presence	NOUN
cana-2346	180	15	in	in	ADP
cana-2346	180	16	the	the	DET
cana-2346	180	17	soil	soil	NOUN
cana-2346	180	18	can	can	AUX
cana-2346	180	19	greatly	greatly	ADV
cana-2346	180	20	affect	affect	VERB
cana-2346	180	21	the	the	DET
cana-2346	180	22	health	health	NOUN
cana-2346	180	23	and	and	CCONJ
cana-2346	180	24	productivity	productivity	NOUN
cana-2346	180	25	of	of	ADP
cana-2346	180	26	crops	crop	NOUN
cana-2346	180	27	.	.	PUNCT
cana-2346	181	1	p	p	NOUN
cana-2346	181	2	phosphorus	phosphorus	NOUN
cana-2346	181	3	content	content	NOUN
cana-2346	181	4	ratio	ratio	NOUN
cana-2346	181	5	in	in	ADP
cana-2346	181	6	soil	soil	NOUN
cana-2346	181	7	:	:	PUNCT
cana-2346	181	8	like	like	ADP
cana-2346	181	9	nitrogen	nitrogen	NOUN
cana-2346	181	10	,	,	PUNCT
cana-2346	181	11	phosphorus	phosphorus	NOUN
cana-2346	181	12	is	be	AUX
cana-2346	181	13	also	also	ADV
cana-2346	181	14	a	a	DET
cana-2346	181	15	vital	vital	ADJ
cana-2346	181	16	nutrient	nutrient	NOUN
cana-2346	181	17	for	for	ADP
cana-2346	181	18	plants	plant	NOUN
cana-2346	181	19	.	.	PUNCT
cana-2346	182	1	this	this	DET
cana-2346	182	2	characteristic	characteristic	NOUN
cana-2346	182	3	shows	show	VERB
cana-2346	182	4	the	the	DET
cana-2346	182	5	proportion	proportion	NOUN
cana-2346	182	6	of	of	ADP
cana-2346	182	7	phosphorus	phosphorus	NOUN
cana-2346	182	8	present	present	ADJ
cana-2346	182	9	in	in	ADP
cana-2346	182	10	the	the	DET
cana-2346	182	11	soil	soil	NOUN
cana-2346	182	12	.	.	PUNCT
cana-2346	183	1	examining	examine	VERB
cana-2346	183	2	this	this	DET
cana-2346	183	3	characteristic	characteristic	ADJ
cana-2346	183	4	aids	aid	NOUN
cana-2346	183	5	in	in	ADP
cana-2346	183	6	comprehending	comprehend	VERB
cana-2346	183	7	the	the	DET
cana-2346	183	8	spread	spread	NOUN
cana-2346	183	9	of	of	ADP
cana-2346	183	10	phosphorus	phosphorus	NOUN
cana-2346	183	11	levels	level	NOUN
cana-2346	183	12	and	and	CCONJ
cana-2346	183	13	its	its	PRON
cana-2346	183	14	possible	possible	ADJ
cana-2346	183	15	influence	influence	NOUN
cana-2346	183	16	on	on	ADP
cana-2346	183	17	the	the	DET
cana-2346	183	18	growth	growth	NOUN
cana-2346	183	19	and	and	CCONJ
cana-2346	183	20	development	development	NOUN
cana-2346	183	21	of	of	ADP
cana-2346	183	22	crops	crop	NOUN
cana-2346	183	23	.	.	PUNCT
cana-2346	184	1	k	k	PRON
cana-2346	184	2	proportion	proportion	NOUN
cana-2346	184	3	of	of	ADP
cana-2346	184	4	potassium	potassium	NOUN
cana-2346	184	5	in	in	ADP
cana-2346	184	6	soil	soil	NOUN
cana-2346	184	7	:	:	PUNCT
cana-2346	184	8	potassium	potassium	NOUN
cana-2346	184	9	is	be	AUX
cana-2346	184	10	an	an	DET
cana-2346	184	11	essential	essential	ADJ
cana-2346	184	12	nutrient	nutrient	NOUN
cana-2346	184	13	needed	need	VERB
cana-2346	184	14	for	for	ADP
cana-2346	184	15	plant	plant	NOUN
cana-2346	184	16	development	development	NOUN
cana-2346	184	17	.	.	PUNCT
cana-2346	185	1	this	this	DET
cana-2346	185	2	characteristic	characteristic	NOUN
cana-2346	185	3	indicates	indicate	VERB
cana-2346	185	4	the	the	DET
cana-2346	185	5	proportion	proportion	NOUN
cana-2346	185	6	of	of	ADP
cana-2346	185	7	potassium	potassium	NOUN
cana-2346	185	8	present	present	ADJ
cana-2346	185	9	in	in	ADP
cana-2346	185	10	the	the	DET
cana-2346	185	11	soil	soil	NOUN
cana-2346	185	12	.	.	PUNCT
cana-2346	186	1	examining	examine	VERB
cana-2346	186	2	the	the	DET
cana-2346	186	3	spread	spread	NOUN
cana-2346	186	4	of	of	ADP
cana-2346	186	5	potassium	potassium	NOUN
cana-2346	186	6	levels	level	NOUN
cana-2346	186	7	aids	aid	VERB
cana-2346	186	8	in	in	ADP
cana-2346	186	9	evaluating	evaluate	VERB
cana-2346	186	10	soil	soil	NOUN
cana-2346	186	11	productivity	productivity	NOUN
cana-2346	186	12	and	and	CCONJ
cana-2346	186	13	its	its	PRON
cana-2346	186	14	appropriateness	appropriateness	NOUN
cana-2346	186	15	for	for	ADP
cana-2346	186	16	various	various	ADJ
cana-2346	186	17	crops	crop	NOUN
cana-2346	186	18	.	.	PUNCT
cana-2346	187	1	temperature	temperature	NOUN
cana-2346	187	2	degrees	degree	NOUN
cana-2346	187	3	celsius	celsius	NOUN
cana-2346	187	4	:	:	PUNCT
cana-2346	187	5	temperature	temperature	NOUN
cana-2346	187	6	is	be	AUX
cana-2346	187	7	a	a	DET
cana-2346	187	8	key	key	ADJ
cana-2346	187	9	factor	factor	NOUN
cana-2346	187	10	in	in	ADP
cana-2346	187	11	deciding	decide	VERB
cana-2346	187	12	how	how	SCONJ
cana-2346	187	13	crops	crop	NOUN
cana-2346	187	14	grow	grow	VERB
cana-2346	187	15	and	and	CCONJ
cana-2346	187	16	develop	develop	VERB
cana-2346	187	17	.	.	PUNCT
cana-2346	188	1	studying	study	VERB
cana-2346	188	2	the	the	DET
cana-2346	188	3	temperature	temperature	NOUN
cana-2346	188	4	distribution	distribution	NOUN
cana-2346	188	5	in	in	ADP
cana-2346	188	6	your	your	PRON
cana-2346	188	7	data	data	NOUN
cana-2346	188	8	helps	help	VERB
cana-2346	188	9	you	you	PRON
cana-2346	188	10	recognize	recognize	VERB
cana-2346	188	11	trends	trend	NOUN
cana-2346	188	12	and	and	CCONJ
cana-2346	188	13	comprehend	comprehend	VERB
cana-2346	188	14	how	how	SCONJ
cana-2346	188	15	temperature	temperature	NOUN
cana-2346	188	16	changes	change	NOUN
cana-2346	188	17	impact	impact	VERB
cana-2346	188	18	crop	crop	NOUN
cana-2346	188	19	growth	growth	NOUN
cana-2346	188	20	and	and	CCONJ
cana-2346	188	21	development	development	NOUN
cana-2346	188	22	.	.	PUNCT
cana-2346	189	1	communications	communication	NOUN
cana-2346	189	2	on	on	ADP
cana-2346	189	3	applied	apply	VERB
cana-2346	189	4	nonlinear	nonlinear	ADJ
cana-2346	189	5	analysis	analysis	NOUN
cana-2346	189	6	issn	issn	NOUN
cana-2346	189	7	:	:	PUNCT
cana-2346	189	8	1074	1074	NUM
cana-2346	189	9	-	-	PUNCT
cana-2346	189	10	133x	133x	NUM
cana-2346	189	11	vol	vol	NOUN
cana-2346	189	12	32	32	NUM
cana-2346	189	13	no	no	NOUN
cana-2346	189	14	.	.	PUNCT
cana-2346	190	1	1s	1s	NUM
cana-2346	190	2	(	(	PUNCT
cana-2346	190	3	2025	2025	NUM
cana-2346	190	4	)	)	PUNCT
cana-2346	190	5	594	594	NUM
cana-2346	190	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	190	7	humidity	humidity	NOUN
cana-2346	190	8	percentage	percentage	NOUN
cana-2346	190	9	of	of	ADP
cana-2346	190	10	relative	relative	ADJ
cana-2346	190	11	humidity	humidity	NOUN
cana-2346	190	12	:	:	PUNCT
cana-2346	190	13	plant	plant	NOUN
cana-2346	190	14	transpiration	transpiration	NOUN
cana-2346	190	15	,	,	PUNCT
cana-2346	190	16	water	water	NOUN
cana-2346	190	17	absorption	absorption	NOUN
cana-2346	190	18	,	,	PUNCT
cana-2346	190	19	and	and	CCONJ
cana-2346	190	20	growth	growth	NOUN
cana-2346	190	21	are	be	AUX
cana-2346	190	22	affected	affect	VERB
cana-2346	190	23	by	by	ADP
cana-2346	190	24	humidity	humidity	NOUN
cana-2346	190	25	levels	level	NOUN
cana-2346	190	26	.	.	PUNCT
cana-2346	191	1	studying	study	VERB
cana-2346	191	2	the	the	DET
cana-2346	191	3	spread	spread	NOUN
cana-2346	191	4	of	of	ADP
cana-2346	191	5	humidity	humidity	NOUN
cana-2346	191	6	levels	level	NOUN
cana-2346	191	7	helps	help	VERB
cana-2346	191	8	in	in	ADP
cana-2346	191	9	grasping	grasp	VERB
cana-2346	191	10	the	the	DET
cana-2346	191	11	moisture	moisture	NOUN
cana-2346	191	12	conditions	condition	NOUN
cana-2346	191	13	in	in	ADP
cana-2346	191	14	the	the	DET
cana-2346	191	15	surroundings	surrounding	NOUN
cana-2346	191	16	,	,	PUNCT
cana-2346	191	17	which	which	PRON
cana-2346	191	18	is	be	AUX
cana-2346	191	19	crucial	crucial	ADJ
cana-2346	191	20	in	in	ADP
cana-2346	191	21	choosing	choose	VERB
cana-2346	191	22	appropriate	appropriate	ADJ
cana-2346	191	23	crops	crop	NOUN
cana-2346	191	24	and	and	CCONJ
cana-2346	191	25	managing	manage	VERB
cana-2346	191	26	irrigation	irrigation	NOUN
cana-2346	191	27	.	.	PUNCT
cana-2346	192	1	soil	soil	NOUN
cana-2346	192	2	ph	ph	ADJ
cana-2346	192	3	soil	soil	NOUN
cana-2346	192	4	ph	ph	NOUN
cana-2346	192	5	level	level	NOUN
cana-2346	192	6	:	:	PUNCT
cana-2346	192	7	the	the	DET
cana-2346	192	8	ph	ph	NOUN
cana-2346	192	9	of	of	ADP
cana-2346	192	10	the	the	DET
cana-2346	192	11	soil	soil	NOUN
cana-2346	192	12	impacts	impact	VERB
cana-2346	192	13	the	the	DET
cana-2346	192	14	availability	availability	NOUN
cana-2346	192	15	of	of	ADP
cana-2346	192	16	nutrients	nutrient	NOUN
cana-2346	192	17	and	and	CCONJ
cana-2346	192	18	activity	activity	NOUN
cana-2346	192	19	of	of	ADP
cana-2346	192	20	microorganisms	microorganism	NOUN
cana-2346	192	21	,	,	PUNCT
cana-2346	192	22	ultimately	ultimately	ADV
cana-2346	192	23	impacting	impact	VERB
cana-2346	192	24	plant	plant	NOUN
cana-2346	192	25	development	development	NOUN
cana-2346	192	26	.	.	PUNCT
cana-2346	193	1	examining	examine	VERB
cana-2346	193	2	the	the	DET
cana-2346	193	3	ph	ph	ADJ
cana-2346	193	4	distribution	distribution	NOUN
cana-2346	193	5	aids	aid	NOUN
cana-2346	193	6	in	in	ADP
cana-2346	193	7	evaluating	evaluate	VERB
cana-2346	193	8	soil	soil	NOUN
cana-2346	193	9	acidity	acidity	NOUN
cana-2346	193	10	or	or	CCONJ
cana-2346	193	11	alkalinity	alkalinity	NOUN
cana-2346	193	12	and	and	CCONJ
cana-2346	193	13	deciding	decide	VERB
cana-2346	193	14	if	if	SCONJ
cana-2346	193	15	the	the	DET
cana-2346	193	16	soil	soil	NOUN
cana-2346	193	17	is	be	AUX
cana-2346	193	18	suitable	suitable	ADJ
cana-2346	193	19	for	for	ADP
cana-2346	193	20	various	various	ADJ
cana-2346	193	21	crops	crop	NOUN
cana-2346	193	22	.	.	PUNCT
cana-2346	194	1	precipitation	precipitation	NOUN
cana-2346	194	2	precipitation	precipitation	NOUN
cana-2346	194	3	in	in	ADP
cana-2346	194	4	millimeters	millimeter	NOUN
cana-2346	194	5	:	:	PUNCT
cana-2346	194	6	precipitation	precipitation	NOUN
cana-2346	194	7	is	be	AUX
cana-2346	194	8	a	a	DET
cana-2346	194	9	crucial	crucial	ADJ
cana-2346	194	10	environmental	environmental	ADJ
cana-2346	194	11	element	element	NOUN
cana-2346	194	12	that	that	PRON
cana-2346	194	13	has	have	VERB
cana-2346	194	14	a	a	DET
cana-2346	194	15	direct	direct	ADJ
cana-2346	194	16	impact	impact	NOUN
cana-2346	194	17	on	on	ADP
cana-2346	194	18	both	both	DET
cana-2346	194	19	soil	soil	NOUN
cana-2346	194	20	moisture	moisture	NOUN
cana-2346	194	21	levels	level	NOUN
cana-2346	194	22	and	and	CCONJ
cana-2346	194	23	the	the	DET
cana-2346	194	24	water	water	NOUN
cana-2346	194	25	needs	need	NOUN
cana-2346	194	26	of	of	ADP
cana-2346	194	27	crops	crop	NOUN
cana-2346	194	28	.	.	PUNCT
cana-2346	195	1	examining	examine	VERB
cana-2346	195	2	how	how	SCONJ
cana-2346	195	3	rainfall	rainfall	NOUN
cana-2346	195	4	is	be	AUX
cana-2346	195	5	spread	spread	VERB
cana-2346	195	6	out	out	ADP
cana-2346	195	7	helps	help	VERB
cana-2346	195	8	in	in	ADP
cana-2346	195	9	comprehending	comprehend	VERB
cana-2346	195	10	precipitation	precipitation	NOUN
cana-2346	195	11	trends	trend	NOUN
cana-2346	195	12	,	,	PUNCT
cana-2346	195	13	seasonal	seasonal	ADJ
cana-2346	195	14	changes	change	NOUN
cana-2346	195	15	,	,	PUNCT
cana-2346	195	16	and	and	CCONJ
cana-2346	195	17	potential	potential	ADJ
cana-2346	195	18	dangers	danger	NOUN
cana-2346	195	19	of	of	ADP
cana-2346	195	20	drought	drought	NOUN
cana-2346	195	21	or	or	CCONJ
cana-2346	195	22	waterlogging	waterlogging	NOUN
cana-2346	195	23	.	.	PUNCT
cana-2346	196	1	counting	count	VERB
cana-2346	196	2	the	the	DET
cana-2346	196	3	number	number	NOUN
cana-2346	196	4	of	of	ADP
cana-2346	196	5	each	each	DET
cana-2346	196	6	class	class	NOUN
cana-2346	196	7	:	:	PUNCT
cana-2346	196	8	this	this	DET
cana-2346	196	9	examination	examination	NOUN
cana-2346	196	10	offers	offer	VERB
cana-2346	196	11	understanding	understanding	NOUN
cana-2346	196	12	into	into	ADP
cana-2346	196	13	the	the	DET
cana-2346	196	14	spread	spread	NOUN
cana-2346	196	15	of	of	ADP
cana-2346	196	16	classes	class	NOUN
cana-2346	196	17	or	or	CCONJ
cana-2346	196	18	categories	category	NOUN
cana-2346	196	19	within	within	ADP
cana-2346	196	20	your	your	PRON
cana-2346	196	21	dataset	dataset	NOUN
cana-2346	196	22	.	.	PUNCT
cana-2346	197	1	for	for	ADP
cana-2346	197	2	instance	instance	NOUN
cana-2346	197	3	,	,	PUNCT
cana-2346	197	4	if	if	SCONJ
cana-2346	197	5	your	your	PRON
cana-2346	197	6	data	datum	NOUN
cana-2346	197	7	set	set	VERB
cana-2346	197	8	contains	contain	VERB
cana-2346	197	9	various	various	ADJ
cana-2346	197	10	kinds	kind	NOUN
cana-2346	197	11	of	of	ADP
cana-2346	197	12	plants	plant	NOUN
cana-2346	197	13	,	,	PUNCT
cana-2346	197	14	analyzing	analyze	VERB
cana-2346	197	15	the	the	DET
cana-2346	197	16	distinct	distinct	ADJ
cana-2346	197	17	number	number	NOUN
cana-2346	197	18	of	of	ADP
cana-2346	197	19	each	each	DET
cana-2346	197	20	plant	plant	NOUN
cana-2346	197	21	category	category	NOUN
cana-2346	197	22	assists	assist	VERB
cana-2346	197	23	in	in	ADP
cana-2346	197	24	comprehending	comprehend	VERB
cana-2346	197	25	the	the	DET
cana-2346	197	26	imbalance	imbalance	NOUN
cana-2346	197	27	in	in	ADP
cana-2346	197	28	categories	category	NOUN
cana-2346	197	29	and	and	CCONJ
cana-2346	197	30	the	the	DET
cana-2346	197	31	frequency	frequency	NOUN
cana-2346	197	32	of	of	ADP
cana-2346	197	33	various	various	ADJ
cana-2346	197	34	plant	plant	NOUN
cana-2346	197	35	types	type	NOUN
cana-2346	197	36	.	.	PUNCT
cana-2346	198	1	figure	figure	NOUN
cana-2346	198	2	2	2	NUM
cana-2346	198	3	illustrates	illustrate	VERB
cana-2346	198	4	the	the	DET
cana-2346	198	5	distinct	distinct	ADJ
cana-2346	198	6	class	class	NOUN
cana-2346	198	7	count	count	NOUN
cana-2346	198	8	.	.	PUNCT
cana-2346	199	1	figure	figure	NOUN
cana-2346	199	2	2	2	NUM
cana-2346	199	3	unique	unique	ADJ
cana-2346	199	4	count	count	NOUN
cana-2346	199	5	of	of	ADP
cana-2346	199	6	each	each	DET
cana-2346	199	7	class	class	NOUN
cana-2346	199	8	histograms	histogram	NOUN
cana-2346	199	9	:	:	PUNCT
cana-2346	199	10	histograms	histogram	NOUN
cana-2346	199	11	are	be	AUX
cana-2346	199	12	graphical	graphical	ADJ
cana-2346	199	13	representations	representation	NOUN
cana-2346	199	14	of	of	ADP
cana-2346	199	15	the	the	DET
cana-2346	199	16	frequency	frequency	NOUN
cana-2346	199	17	distribution	distribution	NOUN
cana-2346	199	18	of	of	ADP
cana-2346	199	19	continuous	continuous	ADJ
cana-2346	199	20	variables	variable	NOUN
cana-2346	199	21	.	.	PUNCT
cana-2346	200	1	by	by	ADP
cana-2346	200	2	visualizing	visualize	VERB
cana-2346	200	3	histograms	histogram	NOUN
cana-2346	200	4	for	for	ADP
cana-2346	200	5	each	each	DET
cana-2346	200	6	feature	feature	NOUN
cana-2346	200	7	,	,	PUNCT
cana-2346	200	8	you	you	PRON
cana-2346	200	9	can	can	AUX
cana-2346	200	10	observe	observe	VERB
cana-2346	200	11	the	the	DET
cana-2346	200	12	shape	shape	NOUN
cana-2346	200	13	,	,	PUNCT
cana-2346	200	14	center	center	NOUN
cana-2346	200	15	,	,	PUNCT
cana-2346	200	16	and	and	CCONJ
cana-2346	200	17	spread	spread	VERB
cana-2346	200	18	of	of	ADP
cana-2346	200	19	the	the	DET
cana-2346	200	20	data	datum	NOUN
cana-2346	200	21	,	,	PUNCT
cana-2346	200	22	as	as	ADV
cana-2346	200	23	well	well	ADV
cana-2346	200	24	as	as	ADP
cana-2346	200	25	identify	identify	VERB
cana-2346	200	26	any	any	DET
cana-2346	200	27	outliers	outlier	NOUN
cana-2346	200	28	or	or	CCONJ
cana-2346	200	29	unusual	unusual	ADJ
cana-2346	200	30	patterns	pattern	NOUN
cana-2346	200	31	.	.	PUNCT
cana-2346	201	1	histogram	histogram	NOUN
cana-2346	201	2	of	of	ADP
cana-2346	201	3	each	each	DET
cana-2346	201	4	feature	feature	NOUN
cana-2346	201	5	is	be	AUX
cana-2346	201	6	depicted	depict	VERB
cana-2346	201	7	in	in	ADP
cana-2346	201	8	figure	figure	NOUN
cana-2346	201	9	3	3	NUM
cana-2346	201	10	.	.	PUNCT
cana-2346	202	1	communications	communication	NOUN
cana-2346	202	2	on	on	ADP
cana-2346	202	3	applied	apply	VERB
cana-2346	202	4	nonlinear	nonlinear	ADJ
cana-2346	202	5	analysis	analysis	NOUN
cana-2346	202	6	issn	issn	NOUN
cana-2346	202	7	:	:	PUNCT
cana-2346	202	8	1074	1074	NUM
cana-2346	202	9	-	-	PUNCT
cana-2346	202	10	133x	133x	NUM
cana-2346	202	11	vol	vol	NOUN
cana-2346	202	12	32	32	NUM
cana-2346	202	13	no	no	NOUN
cana-2346	202	14	.	.	PUNCT
cana-2346	203	1	1s	1s	NUM
cana-2346	203	2	(	(	PUNCT
cana-2346	203	3	2025	2025	NUM
cana-2346	203	4	)	)	PUNCT
cana-2346	203	5	595	595	NUM
cana-2346	203	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	203	7	figure	figure	NOUN
cana-2346	203	8	3	3	NUM
cana-2346	203	9	histogram	histogram	NOUN
cana-2346	203	10	of	of	ADP
cana-2346	203	11	each	each	DET
cana-2346	203	12	feature	feature	NOUN
cana-2346	203	13	bivariate	bivariate	ADJ
cana-2346	203	14	analysis	analysis	NOUN
cana-2346	203	15	:	:	PUNCT
cana-2346	203	16	bivariate	bivariate	ADJ
cana-2346	203	17	analysis	analysis	NOUN
cana-2346	203	18	involves	involve	VERB
cana-2346	203	19	examining	examine	VERB
cana-2346	203	20	the	the	DET
cana-2346	203	21	relationship	relationship	NOUN
cana-2346	203	22	between	between	ADP
cana-2346	203	23	two	two	NUM
cana-2346	203	24	variables	variable	NOUN
cana-2346	203	25	.	.	PUNCT
cana-2346	204	1	for	for	ADP
cana-2346	204	2	example	example	NOUN
cana-2346	204	3	,	,	PUNCT
cana-2346	204	4	you	you	PRON
cana-2346	204	5	can	can	AUX
cana-2346	204	6	analyze	analyze	VERB
cana-2346	204	7	the	the	DET
cana-2346	204	8	correlation	correlation	NOUN
cana-2346	204	9	between	between	ADP
cana-2346	204	10	temperature	temperature	NOUN
cana-2346	204	11	and	and	CCONJ
cana-2346	204	12	humidity	humidity	NOUN
cana-2346	204	13	,	,	PUNCT
cana-2346	204	14	rainfall	rainfall	NOUN
cana-2346	204	15	and	and	CCONJ
cana-2346	204	16	soil	soil	NOUN
cana-2346	204	17	ph	ph	VERB
cana-2346	204	18	,	,	PUNCT
cana-2346	204	19	or	or	CCONJ
cana-2346	204	20	any	any	DET
cana-2346	204	21	other	other	ADJ
cana-2346	204	22	pair	pair	NOUN
cana-2346	204	23	of	of	ADP
cana-2346	204	24	variables	variable	NOUN
cana-2346	204	25	to	to	PART
cana-2346	204	26	identify	identify	VERB
cana-2346	204	27	potential	potential	ADJ
cana-2346	204	28	associations	association	NOUN
cana-2346	204	29	or	or	CCONJ
cana-2346	204	30	dependencies	dependency	NOUN
cana-2346	204	31	.	.	PUNCT
cana-2346	205	1	bivariate	bivariate	ADJ
cana-2346	205	2	analysis	analysis	NOUN
cana-2346	205	3	helps	help	VERB
cana-2346	205	4	in	in	ADP
cana-2346	205	5	understanding	understand	VERB
cana-2346	205	6	how	how	SCONJ
cana-2346	205	7	different	different	ADJ
cana-2346	205	8	factors	factor	NOUN
cana-2346	205	9	interact	interact	VERB
cana-2346	205	10	and	and	CCONJ
cana-2346	205	11	influence	influence	VERB
cana-2346	205	12	each	each	DET
cana-2346	205	13	other	other	ADJ
cana-2346	205	14	,	,	PUNCT
cana-2346	205	15	which	which	PRON
cana-2346	205	16	is	be	AUX
cana-2346	205	17	valuable	valuable	ADJ
cana-2346	205	18	for	for	ADP
cana-2346	205	19	crop	crop	NOUN
cana-2346	205	20	recommendation	recommendation	NOUN
cana-2346	205	21	and	and	CCONJ
cana-2346	205	22	management	management	NOUN
cana-2346	205	23	decisions	decision	NOUN
cana-2346	205	24	.	.	PUNCT
cana-2346	206	1	this	this	DET
cana-2346	206	2	analysis	analysis	NOUN
cana-2346	206	3	is	be	AUX
cana-2346	206	4	depicted	depict	VERB
cana-2346	206	5	in	in	ADP
cana-2346	206	6	the	the	DET
cana-2346	206	7	figure	figure	NOUN
cana-2346	206	8	4	4	NUM
cana-2346	206	9	.	.	PUNCT
cana-2346	206	10	figure	figure	VERB
cana-2346	206	11	4	4	NUM
cana-2346	206	12	bivariate	bivariate	ADJ
cana-2346	206	13	analysis	analysis	NOUN
cana-2346	206	14	of	of	ADP
cana-2346	206	15	each	each	PRON
cana-2346	206	16	of	of	ADP
cana-2346	206	17	the	the	DET
cana-2346	206	18	feature	feature	NOUN
cana-2346	206	19	heatmap	heatmap	NOUN
cana-2346	206	20	:	:	PUNCT
cana-2346	206	21	heat	heat	NOUN
cana-2346	206	22	map	map	NOUN
cana-2346	206	23	of	of	ADP
cana-2346	206	24	each	each	PRON
cana-2346	206	25	of	of	ADP
cana-2346	206	26	the	the	DET
cana-2346	206	27	feature	feature	NOUN
cana-2346	206	28	is	be	AUX
cana-2346	206	29	represented	represent	VERB
cana-2346	206	30	in	in	ADP
cana-2346	206	31	figure	figure	NOUN
cana-2346	206	32	5	5	NUM
cana-2346	206	33	.	.	PUNCT
cana-2346	207	1	the	the	DET
cana-2346	207	2	purpose	purpose	NOUN
cana-2346	207	3	of	of	ADP
cana-2346	207	4	creating	create	VERB
cana-2346	207	5	heat	heat	NOUN
cana-2346	207	6	maps	map	NOUN
cana-2346	207	7	for	for	ADP
cana-2346	207	8	each	each	DET
cana-2346	207	9	feature	feature	NOUN
cana-2346	207	10	could	could	AUX
cana-2346	207	11	be	be	AUX
cana-2346	207	12	to	to	PART
cana-2346	207	13	identify	identify	VERB
cana-2346	207	14	patterns	pattern	NOUN
cana-2346	207	15	,	,	PUNCT
cana-2346	207	16	trends	trend	NOUN
cana-2346	207	17	,	,	PUNCT
cana-2346	207	18	or	or	CCONJ
cana-2346	207	19	correlations	correlation	NOUN
cana-2346	207	20	within	within	ADP
cana-2346	207	21	the	the	DET
cana-2346	207	22	data	data	NOUN
cana-2346	207	23	set	set	VERB
cana-2346	207	24	.	.	PUNCT
cana-2346	208	1	by	by	ADP
cana-2346	208	2	visually	visually	ADV
cana-2346	208	3	inspecting	inspect	VERB
cana-2346	208	4	the	the	DET
cana-2346	208	5	heat	heat	NOUN
cana-2346	208	6	maps	map	NOUN
cana-2346	208	7	,	,	PUNCT
cana-2346	208	8	researchers	researcher	NOUN
cana-2346	208	9	or	or	CCONJ
cana-2346	208	10	analysts	analyst	NOUN
cana-2346	208	11	can	can	AUX
cana-2346	208	12	quickly	quickly	ADV
cana-2346	208	13	identify	identify	VERB
cana-2346	208	14	areas	area	NOUN
cana-2346	208	15	of	of	ADP
cana-2346	208	16	interest	interest	NOUN
cana-2346	208	17	or	or	CCONJ
cana-2346	208	18	potential	potential	ADJ
cana-2346	208	19	relationships	relationship	NOUN
cana-2346	208	20	between	between	ADP
cana-2346	208	21	variables	variable	NOUN
cana-2346	208	22	.	.	PUNCT
cana-2346	209	1	this	this	PRON
cana-2346	209	2	can	can	AUX
cana-2346	209	3	be	be	AUX
cana-2346	209	4	particularly	particularly	ADV
cana-2346	209	5	useful	useful	ADJ
cana-2346	209	6	in	in	ADP
cana-2346	209	7	fields	field	NOUN
cana-2346	209	8	such	such	ADJ
cana-2346	209	9	as	as	ADP
cana-2346	209	10	data	datum	NOUN
cana-2346	209	11	analysis	analysis	NOUN
cana-2346	209	12	,	,	PUNCT
cana-2346	209	13	finance	finance	NOUN
cana-2346	209	14	,	,	PUNCT
cana-2346	209	15	biology	biology	NOUN
cana-2346	209	16	,	,	PUNCT
cana-2346	209	17	and	and	CCONJ
cana-2346	209	18	many	many	ADJ
cana-2346	209	19	others	other	NOUN
cana-2346	209	20	where	where	SCONJ
cana-2346	209	21	understanding	understand	VERB
cana-2346	209	22	the	the	DET
cana-2346	209	23	relationships	relationship	NOUN
cana-2346	209	24	between	between	ADP
cana-2346	209	25	multiple	multiple	ADJ
cana-2346	209	26	variables	variable	NOUN
cana-2346	209	27	is	be	AUX
cana-2346	209	28	crucial	crucial	ADJ
cana-2346	209	29	for	for	ADP
cana-2346	209	30	decision	decision	NOUN
cana-2346	209	31	-	-	PUNCT
cana-2346	209	32	making	making	NOUN
cana-2346	209	33	or	or	CCONJ
cana-2346	209	34	further	further	ADJ
cana-2346	209	35	investigation	investigation	NOUN
cana-2346	209	36	.	.	PUNCT
cana-2346	210	1	communications	communication	NOUN
cana-2346	210	2	on	on	ADP
cana-2346	210	3	applied	apply	VERB
cana-2346	210	4	nonlinear	nonlinear	ADJ
cana-2346	210	5	analysis	analysis	NOUN
cana-2346	210	6	issn	issn	NOUN
cana-2346	210	7	:	:	PUNCT
cana-2346	210	8	1074	1074	NUM
cana-2346	210	9	-	-	PUNCT
cana-2346	210	10	133x	133x	NUM
cana-2346	210	11	vol	vol	NOUN
cana-2346	210	12	32	32	NUM
cana-2346	210	13	no	no	NOUN
cana-2346	210	14	.	.	PUNCT
cana-2346	211	1	1s	1s	NUM
cana-2346	211	2	(	(	PUNCT
cana-2346	211	3	2025	2025	NUM
cana-2346	211	4	)	)	PUNCT
cana-2346	211	5	596	596	NUM
cana-2346	211	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	211	7	figure	figure	NOUN
cana-2346	211	8	5	5	NUM
cana-2346	211	9	heatmap	heatmap	NOUN
cana-2346	211	10	of	of	ADP
cana-2346	211	11	the	the	DET
cana-2346	211	12	dataset	dataset	NOUN
cana-2346	211	13	results	result	NOUN
cana-2346	211	14	in	in	ADP
cana-2346	211	15	this	this	DET
cana-2346	211	16	section	section	NOUN
cana-2346	211	17	,	,	PUNCT
cana-2346	211	18	we	we	PRON
cana-2346	211	19	present	present	VERB
cana-2346	211	20	and	and	CCONJ
cana-2346	211	21	assess	assess	VERB
cana-2346	211	22	the	the	DET
cana-2346	211	23	outcomes	outcome	NOUN
cana-2346	211	24	of	of	ADP
cana-2346	211	25	the	the	DET
cana-2346	211	26	crop	crop	NOUN
cana-2346	211	27	recommendation	recommendation	NOUN
cana-2346	211	28	system	system	NOUN
cana-2346	211	29	employing	employ	VERB
cana-2346	211	30	different	different	ADJ
cana-2346	211	31	machine	machine	NOUN
cana-2346	211	32	learning	learn	VERB
cana-2346	211	33	approaches	approach	NOUN
cana-2346	211	34	.	.	PUNCT
cana-2346	212	1	precision	precision	NOUN
cana-2346	212	2	,	,	PUNCT
cana-2346	212	3	recall	recall	NOUN
cana-2346	212	4	,	,	PUNCT
cana-2346	212	5	and	and	CCONJ
cana-2346	212	6	f1	f1	NOUN
cana-2346	212	7	-	-	PUNCT
cana-2346	212	8	score	score	NOUN
cana-2346	212	9	are	be	AUX
cana-2346	212	10	used	use	VERB
cana-2346	212	11	to	to	PART
cana-2346	212	12	evaluate	evaluate	VERB
cana-2346	212	13	each	each	DET
cana-2346	212	14	crop	crop	NOUN
cana-2346	212	15	class	class	NOUN
cana-2346	212	16	in	in	ADP
cana-2346	212	17	methodologies	methodology	NOUN
cana-2346	212	18	such	such	ADJ
cana-2346	212	19	as	as	ADP
cana-2346	212	20	logistic	logistic	ADJ
cana-2346	212	21	regression	regression	NOUN
cana-2346	212	22	,	,	PUNCT
cana-2346	212	23	random	random	ADJ
cana-2346	212	24	forest	forest	NOUN
cana-2346	212	25	,	,	PUNCT
cana-2346	212	26	gradient	gradient	ADJ
cana-2346	212	27	boosting	boosting	NOUN
cana-2346	212	28	,	,	PUNCT
cana-2346	212	29	and	and	CCONJ
cana-2346	212	30	xgboost	xgboost	X
cana-2346	212	31	.	.	PUNCT
cana-2346	213	1	logistic	logistic	ADJ
cana-2346	213	2	regression	regression	NOUN
cana-2346	213	3	:	:	PUNCT
cana-2346	213	4	the	the	DET
cana-2346	213	5	results	result	NOUN
cana-2346	213	6	given	give	VERB
cana-2346	213	7	are	be	AUX
cana-2346	213	8	related	relate	VERB
cana-2346	213	9	to	to	ADP
cana-2346	213	10	a	a	DET
cana-2346	213	11	logistic	logistic	ADJ
cana-2346	213	12	regression	regression	NOUN
cana-2346	213	13	model	model	NOUN
cana-2346	213	14	used	use	VERB
cana-2346	213	15	for	for	ADP
cana-2346	213	16	crop	crop	NOUN
cana-2346	213	17	classification	classification	NOUN
cana-2346	213	18	.	.	PUNCT
cana-2346	214	1	table	table	NOUN
cana-2346	214	2	1	1	NUM
cana-2346	214	3	displays	display	VERB
cana-2346	214	4	the	the	DET
cana-2346	214	5	precision	precision	NOUN
cana-2346	214	6	,	,	PUNCT
cana-2346	214	7	recall	recall	NOUN
cana-2346	214	8	,	,	PUNCT
cana-2346	214	9	f1	f1	NOUN
cana-2346	214	10	score	score	NOUN
cana-2346	214	11	,	,	PUNCT
cana-2346	214	12	and	and	CCONJ
cana-2346	214	13	support	support	NOUN
cana-2346	214	14	data	datum	NOUN
cana-2346	214	15	.	.	PUNCT
cana-2346	215	1	we	we	PRON
cana-2346	215	2	created	create	VERB
cana-2346	215	3	a	a	DET
cana-2346	215	4	bar	bar	NOUN
cana-2346	215	5	plot	plot	NOUN
cana-2346	215	6	for	for	ADP
cana-2346	215	7	these	these	DET
cana-2346	215	8	values	value	NOUN
cana-2346	215	9	,	,	PUNCT
cana-2346	215	10	which	which	PRON
cana-2346	215	11	can	can	AUX
cana-2346	215	12	be	be	AUX
cana-2346	215	13	seen	see	VERB
cana-2346	215	14	in	in	ADP
cana-2346	215	15	figure	figure	NOUN
cana-2346	215	16	6	6	NUM
cana-2346	215	17	.	.	PUNCT
cana-2346	215	18	table	table	NOUN
cana-2346	215	19	1	1	NUM
cana-2346	215	20	precision	precision	NOUN
cana-2346	215	21	,	,	PUNCT
cana-2346	215	22	recall	recall	NOUN
cana-2346	215	23	,	,	PUNCT
cana-2346	215	24	f1	f1	NOUN
cana-2346	215	25	score	score	NOUN
cana-2346	215	26	and	and	CCONJ
cana-2346	215	27	support	support	NOUN
cana-2346	215	28	data	datum	NOUN
cana-2346	215	29	of	of	ADP
cana-2346	215	30	logistic	logistic	ADJ
cana-2346	215	31	regression	regression	NOUN
cana-2346	215	32	model	model	NOUN
cana-2346	215	33	precision	precision	PROPN
cana-2346	215	34	recall	recall	VERB
cana-2346	215	35	f1	f1	NOUN
cana-2346	215	36	-	-	PUNCT
cana-2346	215	37	score	score	NOUN
cana-2346	215	38	support	support	NOUN
cana-2346	215	39	apple	apple	NOUN
cana-2346	215	40	1	1	NUM
cana-2346	215	41	1	1	NUM
cana-2346	215	42	1	1	NUM
cana-2346	215	43	24	24	NUM
cana-2346	215	44	banana	banana	NOUN
cana-2346	215	45	0.94	0.94	NUM
cana-2346	215	46	1	1	NUM
cana-2346	215	47	0.97	0.97	NUM
cana-2346	215	48	15	15	NUM
cana-2346	215	49	blackgram	blackgram	NOUN
cana-2346	215	50	0.95	0.95	NUM
cana-2346	215	51	0.86	0.86	NUM
cana-2346	215	52	0.9	0.9	NUM
cana-2346	215	53	22	22	NUM
cana-2346	215	54	chickpea	chickpea	NOUN
cana-2346	215	55	1	1	NUM
cana-2346	215	56	1	1	NUM
cana-2346	215	57	1	1	NUM
cana-2346	215	58	19	19	NUM
cana-2346	215	59	coconut	coconut	NOUN
cana-2346	215	60	1	1	NUM
cana-2346	215	61	1	1	NUM
cana-2346	215	62	1	1	NUM
cana-2346	215	63	20	20	NUM
cana-2346	215	64	coffee	coffee	NOUN
cana-2346	215	65	1	1	NUM
cana-2346	215	66	1	1	NUM
cana-2346	215	67	1	1	NUM
cana-2346	215	68	25	25	NUM
cana-2346	215	69	cotton	cotton	NOUN
cana-2346	215	70	0.81	0.81	NUM
cana-2346	215	71	1	1	NUM
cana-2346	215	72	0.9	0.9	NUM
cana-2346	215	73	13	13	NUM
cana-2346	215	74	grapes	grape	NOUN
cana-2346	215	75	1	1	NUM
cana-2346	215	76	1	1	NUM
cana-2346	215	77	1	1	NUM
cana-2346	215	78	17	17	NUM
cana-2346	215	79	jute	jute	NOUN
cana-2346	215	80	0.93	0.93	NUM
cana-2346	215	81	0.93	0.93	NUM
cana-2346	215	82	0.93	0.93	NUM
cana-2346	215	83	15	15	NUM
cana-2346	215	84	kidneybeans	kidneybean	NOUN
cana-2346	215	85	1	1	NUM
cana-2346	215	86	1	1	NUM
cana-2346	215	87	1	1	NUM
cana-2346	215	88	16	16	NUM
cana-2346	215	89	lentil	lentil	NOUN
cana-2346	215	90	0.95	0.95	NUM
cana-2346	215	91	1	1	NUM
cana-2346	215	92	0.97	0.97	NUM
cana-2346	215	93	18	18	NUM
cana-2346	215	94	maize	maize	NOUN
cana-2346	215	95	1	1	NUM
cana-2346	215	96	0.85	0.85	NUM
cana-2346	215	97	0.92	0.92	NUM
cana-2346	215	98	27	27	NUM
cana-2346	215	99	mango	mango	NOUN
cana-2346	215	100	1	1	NUM
cana-2346	215	101	1	1	NUM
cana-2346	215	102	1	1	NUM
cana-2346	215	103	18	18	NUM
cana-2346	215	104	mothbeans	mothbean	NOUN
cana-2346	215	105	0.87	0.87	NUM
cana-2346	215	106	0.91	0.91	NUM
cana-2346	215	107	0.89	0.89	NUM
cana-2346	215	108	22	22	NUM
cana-2346	215	109	mungbean	mungbean	NOUN
cana-2346	215	110	1	1	NUM
cana-2346	215	111	1	1	NUM
cana-2346	215	112	1	1	NUM
cana-2346	215	113	19	19	NUM
cana-2346	215	114	muskmelon	muskmelon	NOUN
cana-2346	215	115	1	1	NUM
cana-2346	215	116	1	1	NUM
cana-2346	215	117	1	1	NUM
cana-2346	215	118	24	24	NUM
cana-2346	215	119	orange	orange	NOUN
cana-2346	215	120	1	1	NUM
cana-2346	215	121	1	1	NUM
cana-2346	215	122	1	1	NUM
cana-2346	215	123	23	23	NUM
cana-2346	215	124	papaya	papaya	NOUN
cana-2346	215	125	1	1	NUM
cana-2346	215	126	0.95	0.95	NUM
cana-2346	215	127	0.97	0.97	NUM
cana-2346	215	128	20	20	NUM
cana-2346	215	129	pigeonpeas	pigeonpea	NOUN
cana-2346	215	130	0.96	0.96	NUM
cana-2346	215	131	1	1	NUM
cana-2346	215	132	0.98	0.98	NUM
cana-2346	215	133	24	24	NUM
cana-2346	215	134	pomegranate	pomegranate	NOUN
cana-2346	215	135	1	1	NUM
cana-2346	215	136	1	1	NUM
cana-2346	215	137	1	1	NUM
cana-2346	215	138	17	17	NUM
cana-2346	215	139	rice	rice	NOUN
cana-2346	215	140	0.93	0.93	NUM
cana-2346	215	141	0.93	0.93	NUM
cana-2346	215	142	0.93	0.93	NUM
cana-2346	215	143	15	15	NUM
cana-2346	215	144	watermelon	watermelon	NOUN
cana-2346	215	145	1	1	NUM
cana-2346	215	146	1	1	NUM
cana-2346	215	147	1	1	NUM
cana-2346	215	148	27	27	NUM
cana-2346	215	149	communications	communication	NOUN
cana-2346	215	150	on	on	ADP
cana-2346	215	151	applied	apply	VERB
cana-2346	215	152	nonlinear	nonlinear	ADJ
cana-2346	215	153	analysis	analysis	NOUN
cana-2346	215	154	issn	issn	NOUN
cana-2346	215	155	:	:	PUNCT
cana-2346	215	156	1074	1074	NUM
cana-2346	215	157	-	-	PUNCT
cana-2346	215	158	133x	133x	NUM
cana-2346	215	159	vol	vol	NOUN
cana-2346	215	160	32	32	NUM
cana-2346	215	161	no	no	NOUN
cana-2346	215	162	.	.	PUNCT
cana-2346	216	1	1s	1s	NUM
cana-2346	216	2	(	(	PUNCT
cana-2346	216	3	2025	2025	NUM
cana-2346	216	4	)	)	PUNCT
cana-2346	216	5	597	597	NUM
cana-2346	216	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	216	7	observations	observation	NOUN
cana-2346	216	8	can	can	AUX
cana-2346	216	9	be	be	AUX
cana-2346	216	10	derived	derive	VERB
cana-2346	216	11	from	from	ADP
cana-2346	216	12	table	table	NOUN
cana-2346	216	13	1	1	NUM
cana-2346	216	14	and	and	CCONJ
cana-2346	216	15	figure	figure	VERB
cana-2346	216	16	6	6	NUM
cana-2346	216	17	.	.	PUNCT
cana-2346	217	1	precision	precision	NOUN
cana-2346	217	2	:	:	PUNCT
cana-2346	217	3	the	the	DET
cana-2346	217	4	model	model	NOUN
cana-2346	217	5	's	's	PART
cana-2346	217	6	total	total	ADJ
cana-2346	217	7	accuracy	accuracy	NOUN
cana-2346	217	8	is	be	AUX
cana-2346	217	9	reported	report	VERB
cana-2346	217	10	as	as	ADP
cana-2346	217	11	0.9727	0.9727	NUM
cana-2346	217	12	,	,	PUNCT
cana-2346	217	13	equivalent	equivalent	ADJ
cana-2346	217	14	to	to	ADP
cana-2346	217	15	around	around	ADP
cana-2346	217	16	97.27	97.27	NUM
cana-2346	217	17	%	%	NOUN
cana-2346	217	18	.	.	PUNCT
cana-2346	218	1	this	this	DET
cana-2346	218	2	measure	measure	NOUN
cana-2346	218	3	shows	show	VERB
cana-2346	218	4	the	the	DET
cana-2346	218	5	ratio	ratio	NOUN
cana-2346	218	6	of	of	ADP
cana-2346	218	7	accurate	accurate	ADJ
cana-2346	218	8	predictions	prediction	NOUN
cana-2346	218	9	among	among	ADP
cana-2346	218	10	all	all	DET
cana-2346	218	11	instances	instance	NOUN
cana-2346	218	12	in	in	ADP
cana-2346	218	13	the	the	DET
cana-2346	218	14	dataset	dataset	NOUN
cana-2346	218	15	.	.	PUNCT
cana-2346	219	1	precision	precision	NOUN
cana-2346	219	2	is	be	AUX
cana-2346	219	3	the	the	DET
cana-2346	219	4	ratio	ratio	NOUN
cana-2346	219	5	of	of	ADP
cana-2346	219	6	correctly	correctly	ADV
cana-2346	219	7	predicted	predict	VERB
cana-2346	219	8	instances	instance	NOUN
cana-2346	219	9	(	(	PUNCT
cana-2346	219	10	true	true	ADJ
cana-2346	219	11	positives	positive	NOUN
cana-2346	219	12	)	)	PUNCT
cana-2346	219	13	to	to	ADP
cana-2346	219	14	all	all	DET
cana-2346	219	15	positive	positive	ADJ
cana-2346	219	16	predictions	prediction	NOUN
cana-2346	219	17	(	(	PUNCT
cana-2346	219	18	true	true	ADJ
cana-2346	219	19	positives	positive	NOUN
cana-2346	219	20	and	and	CCONJ
cana-2346	219	21	false	false	ADJ
cana-2346	219	22	positives	positive	NOUN
cana-2346	219	23	)	)	PUNCT
cana-2346	219	24	.	.	PUNCT
cana-2346	220	1	original	original	ADJ
cana-2346	220	2	text	text	NOUN
cana-2346	220	3	:	:	PUNCT
cana-2346	220	4	the	the	DET
cana-2346	220	5	quick	quick	ADJ
cana-2346	220	6	brown	brown	ADJ
cana-2346	220	7	fox	fox	NOUN
cana-2346	220	8	jumped	jump	VERB
cana-2346	220	9	over	over	ADP
cana-2346	220	10	the	the	DET
cana-2346	220	11	lazy	lazy	ADJ
cana-2346	220	12	dog	dog	NOUN
cana-2346	220	13	.	.	PUNCT
cana-2346	221	1	paraphrased	paraphrase	VERB
cana-2346	221	2	text	text	NOUN
cana-2346	221	3	:	:	PUNCT
cana-2346	221	4	the	the	DET
cana-2346	221	5	lazy	lazy	ADJ
cana-2346	221	6	dog	dog	NOUN
cana-2346	221	7	was	be	AUX
cana-2346	221	8	jumped	jump	VERB
cana-2346	221	9	over	over	ADP
cana-2346	221	10	by	by	ADP
cana-2346	221	11	the	the	DET
cana-2346	221	12	quick	quick	ADJ
cana-2346	221	13	brown	brown	ADJ
cana-2346	221	14	fox	fox	NOUN
cana-2346	221	15	.	.	PUNCT
cana-2346	222	1	the	the	DET
cana-2346	222	2	accuracy	accuracy	NOUN
cana-2346	222	3	score	score	NOUN
cana-2346	222	4	of	of	ADP
cana-2346	222	5	"	"	PUNCT
cana-2346	222	6	apple	apple	NOUN
cana-2346	222	7	"	"	PUNCT
cana-2346	222	8	is	be	AUX
cana-2346	222	9	1	1	NUM
cana-2346	222	10	,	,	PUNCT
cana-2346	222	11	meaning	mean	VERB
cana-2346	222	12	all	all	DET
cana-2346	222	13	identified	identify	VERB
cana-2346	222	14	apples	apple	NOUN
cana-2346	222	15	were	be	AUX
cana-2346	222	16	correct	correct	ADJ
cana-2346	222	17	.	.	PUNCT
cana-2346	223	1	the	the	DET
cana-2346	223	2	accuracy	accuracy	NOUN
cana-2346	223	3	score	score	NOUN
cana-2346	223	4	for	for	ADP
cana-2346	223	5	"	"	PUNCT
cana-2346	223	6	banana	banana	NOUN
cana-2346	223	7	"	"	PUNCT
cana-2346	223	8	is	be	AUX
cana-2346	223	9	0.94	0.94	NUM
cana-2346	223	10	,	,	PUNCT
cana-2346	223	11	suggesting	suggest	VERB
cana-2346	223	12	that	that	SCONJ
cana-2346	223	13	94	94	NUM
cana-2346	223	14	%	%	NOUN
cana-2346	223	15	of	of	ADP
cana-2346	223	16	predicted	predict	VERB
cana-2346	223	17	bananas	banana	NOUN
cana-2346	223	18	were	be	AUX
cana-2346	223	19	correct	correct	ADJ
cana-2346	223	20	.	.	PUNCT
cana-2346	224	1	remember	remember	VERB
cana-2346	224	2	:	:	PUNCT
cana-2346	224	3	recall	recall	PROPN
cana-2346	224	4	is	be	AUX
cana-2346	224	5	the	the	DET
cana-2346	224	6	ratio	ratio	NOUN
cana-2346	224	7	of	of	ADP
cana-2346	224	8	true	true	ADJ
cana-2346	224	9	positive	positive	ADJ
cana-2346	224	10	predictions	prediction	NOUN
cana-2346	224	11	to	to	ADP
cana-2346	224	12	all	all	DET
cana-2346	224	13	actual	actual	ADJ
cana-2346	224	14	positive	positive	ADJ
cana-2346	224	15	instances	instance	NOUN
cana-2346	224	16	in	in	ADP
cana-2346	224	17	the	the	DET
cana-2346	224	18	dataset	dataset	NOUN
cana-2346	224	19	.	.	PUNCT
cana-2346	225	1	original	original	ADJ
cana-2346	225	2	text	text	NOUN
cana-2346	225	3	:	:	PUNCT
cana-2346	225	4	the	the	DET
cana-2346	225	5	quick	quick	ADJ
cana-2346	225	6	brown	brown	ADJ
cana-2346	225	7	fox	fox	NOUN
cana-2346	225	8	jumps	jump	VERB
cana-2346	225	9	over	over	ADP
cana-2346	225	10	the	the	DET
cana-2346	225	11	lazy	lazy	ADJ
cana-2346	225	12	dog	dog	NOUN
cana-2346	225	13	.	.	PUNCT
cana-2346	226	1	paraphrased	paraphrase	VERB
cana-2346	226	2	text	text	NOUN
cana-2346	226	3	:	:	PUNCT
cana-2346	226	4	the	the	DET
cana-2346	226	5	fast	fast	ADJ
cana-2346	226	6	brown	brown	ADJ
cana-2346	226	7	fox	fox	NOUN
cana-2346	226	8	leaps	leap	VERB
cana-2346	226	9	over	over	ADP
cana-2346	226	10	the	the	DET
cana-2346	226	11	inactive	inactive	ADJ
cana-2346	226	12	dog	dog	NOUN
cana-2346	226	13	.	.	PUNCT
cana-2346	227	1	the	the	DET
cana-2346	227	2	recall	recall	NOUN
cana-2346	227	3	score	score	NOUN
cana-2346	227	4	of	of	ADP
cana-2346	227	5	"	"	PUNCT
cana-2346	227	6	apple	apple	NOUN
cana-2346	227	7	"	"	PUNCT
cana-2346	227	8	is	be	AUX
cana-2346	227	9	1	1	NUM
cana-2346	227	10	,	,	PUNCT
cana-2346	227	11	meaning	mean	VERB
cana-2346	227	12	all	all	DET
cana-2346	227	13	real	real	ADJ
cana-2346	227	14	apples	apple	NOUN
cana-2346	227	15	were	be	AUX
cana-2346	227	16	accurately	accurately	ADV
cana-2346	227	17	identified	identify	VERB
cana-2346	227	18	as	as	ADP
cana-2346	227	19	apples	apple	NOUN
cana-2346	227	20	.	.	PUNCT
cana-2346	228	1	the	the	DET
cana-2346	228	2	blackgram	blackgram	PROPN
cana-2346	228	3	recall	recall	NOUN
cana-2346	228	4	rate	rate	NOUN
cana-2346	228	5	is	be	AUX
cana-2346	228	6	0.86	0.86	NUM
cana-2346	228	7	,	,	PUNCT
cana-2346	228	8	showing	show	VERB
cana-2346	228	9	that	that	SCONJ
cana-2346	228	10	86	86	NUM
cana-2346	228	11	%	%	NOUN
cana-2346	228	12	of	of	ADP
cana-2346	228	13	blackgram	blackgram	NOUN
cana-2346	228	14	cases	case	NOUN
cana-2346	228	15	were	be	AUX
cana-2346	228	16	accurately	accurately	ADV
cana-2346	228	17	predicted	predict	VERB
cana-2346	228	18	.	.	PUNCT
cana-2346	229	1	the	the	DET
cana-2346	229	2	f1	f1	NOUN
cana-2346	229	3	-	-	PUNCT
cana-2346	229	4	score	score	NOUN
cana-2346	229	5	is	be	AUX
cana-2346	229	6	a	a	DET
cana-2346	229	7	metric	metric	NOUN
cana-2346	229	8	that	that	PRON
cana-2346	229	9	combines	combine	VERB
cana-2346	229	10	precision	precision	NOUN
cana-2346	229	11	and	and	CCONJ
cana-2346	229	12	recall	recall	VERB
cana-2346	229	13	into	into	ADP
cana-2346	229	14	a	a	DET
cana-2346	229	15	single	single	ADJ
cana-2346	229	16	value	value	NOUN
cana-2346	229	17	by	by	ADP
cana-2346	229	18	using	use	VERB
cana-2346	229	19	their	their	PRON
cana-2346	229	20	harmonic	harmonic	ADJ
cana-2346	229	21	mean	mean	NOUN
cana-2346	229	22	.	.	PUNCT
cana-2346	230	1	support	support	NOUN
cana-2346	230	2	refers	refer	VERB
cana-2346	230	3	to	to	ADP
cana-2346	230	4	the	the	DET
cana-2346	230	5	total	total	ADJ
cana-2346	230	6	count	count	NOUN
cana-2346	230	7	of	of	ADP
cana-2346	230	8	each	each	DET
cana-2346	230	9	class	class	NOUN
cana-2346	230	10	within	within	ADP
cana-2346	230	11	the	the	DET
cana-2346	230	12	dataset	dataset	NOUN
cana-2346	230	13	.	.	PUNCT
cana-2346	231	1	figure	figure	VERB
cana-2346	231	2	6	6	NUM
cana-2346	231	3	logistic	logistic	ADJ
cana-2346	231	4	regression	regression	NOUN
cana-2346	231	5	model	model	NOUN
cana-2346	231	6	’s	’s	PART
cana-2346	231	7	precision	precision	NOUN
cana-2346	231	8	,	,	PUNCT
cana-2346	231	9	recall	recall	NOUN
cana-2346	231	10	and	and	CCONJ
cana-2346	231	11	f1	f1	NOUN
cana-2346	231	12	-	-	PUNCT
cana-2346	231	13	score	score	NOUN
cana-2346	231	14	the	the	DET
cana-2346	231	15	confusion	confusion	NOUN
cana-2346	231	16	matrix	matrix	NOUN
cana-2346	231	17	for	for	ADP
cana-2346	231	18	logistic	logistic	ADJ
cana-2346	231	19	regression	regression	NOUN
cana-2346	231	20	model	model	NOUN
cana-2346	231	21	is	be	AUX
cana-2346	231	22	depicted	depict	VERB
cana-2346	231	23	in	in	ADP
cana-2346	231	24	figure	figure	NOUN
cana-2346	231	25	7	7	NUM
cana-2346	231	26	.	.	PUNCT
cana-2346	232	1	here	here	ADV
cana-2346	232	2	each	each	DET
cana-2346	232	3	row	row	NOUN
cana-2346	232	4	represents	represent	VERB
cana-2346	232	5	the	the	DET
cana-2346	232	6	actual	actual	ADJ
cana-2346	232	7	class	class	NOUN
cana-2346	232	8	,	,	PUNCT
cana-2346	232	9	while	while	SCONJ
cana-2346	232	10	each	each	DET
cana-2346	232	11	column	column	NOUN
cana-2346	232	12	represents	represent	VERB
cana-2346	232	13	the	the	DET
cana-2346	232	14	predicted	predict	VERB
cana-2346	232	15	class	class	NOUN
cana-2346	232	16	.	.	PUNCT
cana-2346	233	1	the	the	DET
cana-2346	233	2	numbers	number	NOUN
cana-2346	233	3	in	in	ADP
cana-2346	233	4	the	the	DET
cana-2346	233	5	matrix	matrix	NOUN
cana-2346	233	6	indicate	indicate	VERB
cana-2346	233	7	the	the	DET
cana-2346	233	8	count	count	NOUN
cana-2346	233	9	of	of	ADP
cana-2346	233	10	instances	instance	NOUN
cana-2346	233	11	falling	fall	VERB
cana-2346	233	12	into	into	ADP
cana-2346	233	13	each	each	DET
cana-2346	233	14	category	category	NOUN
cana-2346	233	15	.	.	PUNCT
cana-2346	234	1	from	from	ADP
cana-2346	234	2	the	the	DET
cana-2346	234	3	figure	figure	NOUN
cana-2346	234	4	7	7	NUM
cana-2346	234	5	,	,	PUNCT
cana-2346	234	6	the	the	DET
cana-2346	234	7	following	follow	VERB
cana-2346	234	8	observations	observation	NOUN
cana-2346	234	9	are	be	AUX
cana-2346	234	10	made	make	VERB
cana-2346	234	11	:	:	PUNCT
cana-2346	234	12	the	the	DET
cana-2346	234	13	first	first	ADJ
cana-2346	234	14	row	row	NOUN
cana-2346	234	15	corresponds	correspond	VERB
cana-2346	234	16	to	to	ADP
cana-2346	234	17	"	"	PUNCT
cana-2346	234	18	apple	apple	NOUN
cana-2346	234	19	.	.	PUNCT
cana-2346	234	20	"	"	PUNCT
cana-2346	235	1	the	the	DET
cana-2346	235	2	first	first	ADJ
cana-2346	235	3	column	column	NOUN
cana-2346	235	4	shows	show	VERB
cana-2346	235	5	that	that	SCONJ
cana-2346	235	6	24	24	NUM
cana-2346	235	7	instances	instance	NOUN
cana-2346	235	8	of	of	ADP
cana-2346	235	9	apples	apple	NOUN
cana-2346	235	10	were	be	AUX
cana-2346	235	11	correctly	correctly	ADV
cana-2346	235	12	predicted	predict	VERB
cana-2346	235	13	as	as	ADP
cana-2346	235	14	apples	apple	NOUN
cana-2346	235	15	(	(	PUNCT
cana-2346	235	16	true	true	ADJ
cana-2346	235	17	positives	positive	NOUN
cana-2346	235	18	)	)	PUNCT
cana-2346	235	19	,	,	PUNCT
cana-2346	235	20	and	and	CCONJ
cana-2346	235	21	there	there	PRON
cana-2346	235	22	were	be	VERB
cana-2346	235	23	no	no	DET
cana-2346	235	24	false	false	ADJ
cana-2346	235	25	positives	positive	NOUN
cana-2346	235	26	or	or	CCONJ
cana-2346	235	27	false	false	ADJ
cana-2346	235	28	negatives	negative	NOUN
cana-2346	235	29	for	for	ADP
cana-2346	235	30	apples	apple	NOUN
cana-2346	235	31	.	.	PUNCT
cana-2346	236	1	the	the	DET
cana-2346	236	2	fourth	fourth	ADJ
cana-2346	236	3	row	row	NOUN
cana-2346	236	4	corresponds	correspond	VERB
cana-2346	236	5	to	to	ADP
cana-2346	236	6	"	"	PUNCT
cana-2346	236	7	chickpea	chickpea	NOUN
cana-2346	236	8	.	.	PUNCT
cana-2346	236	9	"	"	PUNCT
cana-2346	237	1	the	the	DET
cana-2346	237	2	fourth	fourth	ADJ
cana-2346	237	3	column	column	NOUN
cana-2346	237	4	shows	show	VERB
cana-2346	237	5	that	that	SCONJ
cana-2346	237	6	all	all	DET
cana-2346	237	7	19	19	NUM
cana-2346	237	8	instances	instance	NOUN
cana-2346	237	9	of	of	ADP
cana-2346	237	10	chickpeas	chickpea	NOUN
cana-2346	237	11	were	be	AUX
cana-2346	237	12	correctly	correctly	ADV
cana-2346	237	13	predicted	predict	VERB
cana-2346	237	14	as	as	ADP
cana-2346	237	15	chickpeas	chickpeas	NOUN
cana-2346	237	16	(	(	PUNCT
cana-2346	237	17	true	true	ADJ
cana-2346	237	18	positives	positive	NOUN
cana-2346	237	19	)	)	PUNCT
cana-2346	237	20	,	,	PUNCT
cana-2346	237	21	with	with	ADP
cana-2346	237	22	no	no	DET
cana-2346	237	23	false	false	ADJ
cana-2346	237	24	positives	positive	NOUN
cana-2346	237	25	or	or	CCONJ
cana-2346	237	26	false	false	ADJ
cana-2346	237	27	negatives	negative	NOUN
cana-2346	237	28	.	.	PUNCT
cana-2346	238	1	communications	communication	NOUN
cana-2346	238	2	on	on	ADP
cana-2346	238	3	applied	apply	VERB
cana-2346	238	4	nonlinear	nonlinear	ADJ
cana-2346	238	5	analysis	analysis	NOUN
cana-2346	238	6	issn	issn	NOUN
cana-2346	238	7	:	:	PUNCT
cana-2346	238	8	1074	1074	NUM
cana-2346	238	9	-	-	PUNCT
cana-2346	238	10	133x	133x	NUM
cana-2346	238	11	vol	vol	NOUN
cana-2346	238	12	32	32	NUM
cana-2346	238	13	no	no	NOUN
cana-2346	238	14	.	.	PUNCT
cana-2346	239	1	1s	1s	NUM
cana-2346	239	2	(	(	PUNCT
cana-2346	239	3	2025	2025	NUM
cana-2346	239	4	)	)	PUNCT
cana-2346	239	5	598	598	NUM
cana-2346	239	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	239	7	overall	overall	ADJ
cana-2346	239	8	,	,	PUNCT
cana-2346	239	9	the	the	DET
cana-2346	239	10	model	model	NOUN
cana-2346	239	11	demonstrates	demonstrate	VERB
cana-2346	239	12	high	high	ADJ
cana-2346	239	13	accuracy	accuracy	NOUN
cana-2346	239	14	,	,	PUNCT
cana-2346	239	15	precision	precision	NOUN
cana-2346	239	16	,	,	PUNCT
cana-2346	239	17	and	and	CCONJ
cana-2346	239	18	recall	recall	VERB
cana-2346	239	19	across	across	ADP
cana-2346	239	20	most	most	ADJ
cana-2346	239	21	crop	crop	NOUN
cana-2346	239	22	classes	class	NOUN
cana-2346	239	23	,	,	PUNCT
cana-2346	239	24	with	with	ADP
cana-2346	239	25	some	some	DET
cana-2346	239	26	variations	variation	NOUN
cana-2346	239	27	for	for	ADP
cana-2346	239	28	certain	certain	ADJ
cana-2346	239	29	crops	crop	NOUN
cana-2346	239	30	as	as	ADP
cana-2346	239	31	evident	evident	ADJ
cana-2346	239	32	from	from	ADP
cana-2346	239	33	the	the	DET
cana-2346	239	34	confusion	confusion	NOUN
cana-2346	239	35	matrix	matrix	NOUN
cana-2346	239	36	.	.	PUNCT
cana-2346	240	1	figure	figure	VERB
cana-2346	240	2	7	7	NUM
cana-2346	240	3	confusion	confusion	NOUN
cana-2346	240	4	matrix	matrix	NOUN
cana-2346	240	5	for	for	ADP
cana-2346	240	6	logistic	logistic	ADJ
cana-2346	240	7	regression	regression	NOUN
cana-2346	240	8	model	model	NOUN
cana-2346	240	9	random	random	ADJ
cana-2346	240	10	forest	forest	NOUN
cana-2346	240	11	:	:	PUNCT
cana-2346	241	1	the	the	DET
cana-2346	241	2	results	result	NOUN
cana-2346	241	3	given	give	VERB
cana-2346	241	4	consist	consist	NOUN
cana-2346	241	5	of	of	ADP
cana-2346	241	6	accuracy	accuracy	NOUN
cana-2346	241	7	,	,	PUNCT
cana-2346	241	8	precision	precision	NOUN
cana-2346	241	9	,	,	PUNCT
cana-2346	241	10	recall	recall	NOUN
cana-2346	241	11	,	,	PUNCT
cana-2346	241	12	and	and	CCONJ
cana-2346	241	13	the	the	DET
cana-2346	241	14	confusion	confusion	NOUN
cana-2346	241	15	matrix	matrix	NOUN
cana-2346	241	16	for	for	ADP
cana-2346	241	17	every	every	DET
cana-2346	241	18	crop	crop	NOUN
cana-2346	241	19	class	class	NOUN
cana-2346	241	20	.	.	PUNCT
cana-2346	241	21	table	table	NOUN
cana-2346	241	22	2	2	NUM
cana-2346	241	23	provides	provide	VERB
cana-2346	241	24	a	a	DET
cana-2346	241	25	visual	visual	ADJ
cana-2346	241	26	representation	representation	NOUN
cana-2346	241	27	of	of	ADP
cana-2346	241	28	the	the	DET
cana-2346	241	29	specific	specific	ADJ
cana-2346	241	30	data	datum	NOUN
cana-2346	241	31	.	.	PUNCT
cana-2346	242	1	the	the	DET
cana-2346	242	2	bar	bar	NOUN
cana-2346	242	3	plot	plot	NOUN
cana-2346	242	4	representing	represent	VERB
cana-2346	242	5	the	the	DET
cana-2346	242	6	table	table	NOUN
cana-2346	242	7	2	2	NUM
cana-2346	242	8	values	value	NOUN
cana-2346	242	9	has	have	AUX
cana-2346	242	10	been	be	AUX
cana-2346	242	11	created	create	VERB
cana-2346	242	12	and	and	CCONJ
cana-2346	242	13	is	be	AUX
cana-2346	242	14	shown	show	VERB
cana-2346	242	15	in	in	ADP
cana-2346	242	16	figure	figure	NOUN
cana-2346	242	17	8	8	NUM
cana-2346	242	18	.	.	PUNCT
cana-2346	243	1	after	after	ADP
cana-2346	243	2	analyzing	analyze	VERB
cana-2346	243	3	table	table	NOUN
cana-2346	243	4	2	2	NUM
cana-2346	243	5	and	and	CCONJ
cana-2346	243	6	figure	figure	VERB
cana-2346	243	7	8	8	NUM
cana-2346	243	8	,	,	PUNCT
cana-2346	243	9	it	it	PRON
cana-2346	243	10	is	be	AUX
cana-2346	243	11	observed	observe	VERB
cana-2346	243	12	that	that	SCONJ
cana-2346	243	13	accuracy	accuracy	NOUN
cana-2346	243	14	evaluates	evaluate	VERB
cana-2346	243	15	the	the	DET
cana-2346	243	16	overall	overall	ADJ
cana-2346	243	17	accuracy	accuracy	NOUN
cana-2346	243	18	of	of	ADP
cana-2346	243	19	the	the	DET
cana-2346	243	20	model	model	NOUN
cana-2346	243	21	's	's	PART
cana-2346	243	22	forecasts	forecast	NOUN
cana-2346	243	23	.	.	PUNCT
cana-2346	244	1	it	it	PRON
cana-2346	244	2	is	be	AUX
cana-2346	244	3	determined	determine	VERB
cana-2346	244	4	by	by	ADP
cana-2346	244	5	dividing	divide	VERB
cana-2346	244	6	the	the	DET
cana-2346	244	7	number	number	NOUN
cana-2346	244	8	of	of	ADP
cana-2346	244	9	accurately	accurately	ADV
cana-2346	244	10	predicted	predict	VERB
cana-2346	244	11	cases	case	NOUN
cana-2346	244	12	by	by	ADP
cana-2346	244	13	the	the	DET
cana-2346	244	14	total	total	ADJ
cana-2346	244	15	number	number	NOUN
cana-2346	244	16	of	of	ADP
cana-2346	244	17	cases	case	NOUN
cana-2346	244	18	.	.	PUNCT
cana-2346	245	1	in	in	ADP
cana-2346	245	2	this	this	DET
cana-2346	245	3	instance	instance	NOUN
cana-2346	245	4	,	,	PUNCT
cana-2346	245	5	the	the	DET
cana-2346	245	6	model	model	NOUN
cana-2346	245	7	correctly	correctly	ADV
cana-2346	245	8	predicted	predict	VERB
cana-2346	245	9	the	the	DET
cana-2346	245	10	crop	crop	NOUN
cana-2346	245	11	class	class	NOUN
cana-2346	245	12	for	for	ADP
cana-2346	245	13	the	the	DET
cana-2346	245	14	majority	majority	NOUN
cana-2346	245	15	of	of	ADP
cana-2346	245	16	cases	case	NOUN
cana-2346	245	17	with	with	ADP
cana-2346	245	18	an	an	DET
cana-2346	245	19	accuracy	accuracy	NOUN
cana-2346	245	20	of	of	ADP
cana-2346	245	21	99.77	99.77	NUM
cana-2346	245	22	%	%	NOUN
cana-2346	245	23	.	.	PUNCT
cana-2346	246	1	also	also	ADV
cana-2346	246	2	noted	note	VERB
cana-2346	246	3	is	be	AUX
cana-2346	246	4	that	that	SCONJ
cana-2346	246	5	precision	precision	NOUN
cana-2346	246	6	evaluates	evaluate	VERB
cana-2346	246	7	the	the	DET
cana-2346	246	8	percentage	percentage	NOUN
cana-2346	246	9	of	of	ADP
cana-2346	246	10	accurate	accurate	ADJ
cana-2346	246	11	positive	positive	ADJ
cana-2346	246	12	predictions	prediction	NOUN
cana-2346	246	13	out	out	ADP
cana-2346	246	14	of	of	ADP
cana-2346	246	15	all	all	DET
cana-2346	246	16	positive	positive	ADJ
cana-2346	246	17	predictions	prediction	NOUN
cana-2346	246	18	generated	generate	VERB
cana-2346	246	19	by	by	ADP
cana-2346	246	20	the	the	DET
cana-2346	246	21	model	model	NOUN
cana-2346	246	22	.	.	PUNCT
cana-2346	247	1	it	it	PRON
cana-2346	247	2	is	be	AUX
cana-2346	247	3	determined	determine	VERB
cana-2346	247	4	by	by	ADP
cana-2346	247	5	dividing	divide	VERB
cana-2346	247	6	true	true	ADJ
cana-2346	247	7	positives	positive	NOUN
cana-2346	247	8	by	by	ADP
cana-2346	247	9	the	the	DET
cana-2346	247	10	sum	sum	NOUN
cana-2346	247	11	of	of	ADP
cana-2346	247	12	true	true	ADJ
cana-2346	247	13	positives	positive	NOUN
cana-2346	247	14	and	and	CCONJ
cana-2346	247	15	false	false	ADJ
cana-2346	247	16	positives	positive	NOUN
cana-2346	247	17	.	.	PUNCT
cana-2346	248	1	a	a	DET
cana-2346	248	2	precision	precision	NOUN
cana-2346	248	3	score	score	NOUN
cana-2346	248	4	of	of	ADP
cana-2346	248	5	1	1	NUM
cana-2346	248	6	indicates	indicate	VERB
cana-2346	248	7	that	that	SCONJ
cana-2346	248	8	every	every	DET
cana-2346	248	9	positive	positive	ADJ
cana-2346	248	10	prediction	prediction	NOUN
cana-2346	248	11	made	make	VERB
cana-2346	248	12	by	by	ADP
cana-2346	248	13	the	the	DET
cana-2346	248	14	model	model	NOUN
cana-2346	248	15	was	be	AUX
cana-2346	248	16	accurate	accurate	ADJ
cana-2346	248	17	.	.	PUNCT
cana-2346	249	1	most	most	ADJ
cana-2346	249	2	crop	crop	NOUN
cana-2346	249	3	classes	class	NOUN
cana-2346	249	4	in	in	ADP
cana-2346	249	5	the	the	DET
cana-2346	249	6	results	result	NOUN
cana-2346	249	7	show	show	VERB
cana-2346	249	8	a	a	DET
cana-2346	249	9	precision	precision	NOUN
cana-2346	249	10	score	score	NOUN
cana-2346	249	11	of	of	ADP
cana-2346	249	12	1	1	NUM
cana-2346	249	13	,	,	PUNCT
cana-2346	249	14	meaning	mean	VERB
cana-2346	249	15	the	the	DET
cana-2346	249	16	model	model	NOUN
cana-2346	249	17	seldom	seldom	ADV
cana-2346	249	18	incorrectly	incorrectly	ADV
cana-2346	249	19	categorizes	categorize	VERB
cana-2346	249	20	instances	instance	NOUN
cana-2346	249	21	into	into	ADP
cana-2346	249	22	those	those	DET
cana-2346	249	23	classes	class	NOUN
cana-2346	249	24	.	.	PUNCT
cana-2346	250	1	it	it	PRON
cana-2346	250	2	is	be	AUX
cana-2346	250	3	important	important	ADJ
cana-2346	250	4	to	to	PART
cana-2346	250	5	note	note	VERB
cana-2346	250	6	that	that	DET
cana-2346	250	7	recall	recall	NOUN
cana-2346	250	8	,	,	PUNCT
cana-2346	250	9	also	also	ADV
cana-2346	250	10	referred	refer	VERB
cana-2346	250	11	to	to	ADP
cana-2346	250	12	as	as	ADP
cana-2346	250	13	sensitivity	sensitivity	NOUN
cana-2346	250	14	,	,	PUNCT
cana-2346	250	15	calculates	calculate	VERB
cana-2346	250	16	the	the	DET
cana-2346	250	17	percentage	percentage	NOUN
cana-2346	250	18	of	of	ADP
cana-2346	250	19	true	true	ADJ
cana-2346	250	20	positive	positive	ADJ
cana-2346	250	21	predictions	prediction	NOUN
cana-2346	250	22	in	in	ADP
cana-2346	250	23	relation	relation	NOUN
cana-2346	250	24	to	to	ADP
cana-2346	250	25	all	all	DET
cana-2346	250	26	the	the	DET
cana-2346	250	27	actual	actual	ADJ
cana-2346	250	28	positive	positive	ADJ
cana-2346	250	29	instances	instance	NOUN
cana-2346	250	30	within	within	ADP
cana-2346	250	31	the	the	DET
cana-2346	250	32	dataset	dataset	NOUN
cana-2346	250	33	.	.	PUNCT
cana-2346	251	1	it	it	PRON
cana-2346	251	2	is	be	AUX
cana-2346	251	3	determined	determine	VERB
cana-2346	251	4	by	by	ADP
cana-2346	251	5	dividing	divide	VERB
cana-2346	251	6	the	the	DET
cana-2346	251	7	number	number	NOUN
cana-2346	251	8	of	of	ADP
cana-2346	251	9	true	true	ADJ
cana-2346	251	10	positives	positive	NOUN
cana-2346	251	11	by	by	ADP
cana-2346	251	12	the	the	DET
cana-2346	251	13	sum	sum	NOUN
cana-2346	251	14	of	of	ADP
cana-2346	251	15	true	true	ADJ
cana-2346	251	16	positives	positive	NOUN
cana-2346	251	17	and	and	CCONJ
cana-2346	251	18	false	false	ADJ
cana-2346	251	19	negatives	negative	NOUN
cana-2346	251	20	.	.	PUNCT
cana-2346	252	1	a	a	DET
cana-2346	252	2	recall	recall	NOUN
cana-2346	252	3	score	score	NOUN
cana-2346	252	4	of	of	ADP
cana-2346	252	5	1	1	NUM
cana-2346	252	6	means	mean	VERB
cana-2346	252	7	the	the	DET
cana-2346	252	8	model	model	NOUN
cana-2346	252	9	accurately	accurately	ADV
cana-2346	252	10	recognized	recognize	VERB
cana-2346	252	11	all	all	DET
cana-2346	252	12	positive	positive	ADJ
cana-2346	252	13	instances	instance	NOUN
cana-2346	252	14	of	of	ADP
cana-2346	252	15	the	the	DET
cana-2346	252	16	class	class	NOUN
cana-2346	252	17	.	.	PUNCT
cana-2346	253	1	just	just	ADV
cana-2346	253	2	like	like	ADP
cana-2346	253	3	precision	precision	NOUN
cana-2346	253	4	,	,	PUNCT
cana-2346	253	5	the	the	DET
cana-2346	253	6	majority	majority	NOUN
cana-2346	253	7	of	of	ADP
cana-2346	253	8	crop	crop	NOUN
cana-2346	253	9	categories	category	NOUN
cana-2346	253	10	exhibit	exhibit	VERB
cana-2346	253	11	a	a	DET
cana-2346	253	12	recall	recall	NOUN
cana-2346	253	13	score	score	NOUN
cana-2346	253	14	of	of	ADP
cana-2346	253	15	1	1	NUM
cana-2346	253	16	in	in	ADP
cana-2346	253	17	the	the	DET
cana-2346	253	18	given	give	VERB
cana-2346	253	19	findings	finding	NOUN
cana-2346	253	20	,	,	PUNCT
cana-2346	253	21	showing	show	VERB
cana-2346	253	22	that	that	SCONJ
cana-2346	253	23	the	the	DET
cana-2346	253	24	model	model	NOUN
cana-2346	253	25	seldom	seldom	ADV
cana-2346	253	26	fails	fail	VERB
cana-2346	253	27	to	to	PART
cana-2346	253	28	identify	identify	VERB
cana-2346	253	29	positive	positive	ADJ
cana-2346	253	30	instances	instance	NOUN
cana-2346	253	31	of	of	ADP
cana-2346	253	32	those	those	DET
cana-2346	253	33	categories	category	NOUN
cana-2346	253	34	.	.	PUNCT
cana-2346	254	1	table	table	NOUN
cana-2346	254	2	2	2	NUM
cana-2346	254	3	precision	precision	NOUN
cana-2346	254	4	,	,	PUNCT
cana-2346	254	5	recall	recall	NOUN
cana-2346	254	6	,	,	PUNCT
cana-2346	254	7	f1	f1	NOUN
cana-2346	254	8	score	score	NOUN
cana-2346	254	9	and	and	CCONJ
cana-2346	254	10	support	support	NOUN
cana-2346	254	11	data	datum	NOUN
cana-2346	254	12	of	of	ADP
cana-2346	254	13	random	random	ADJ
cana-2346	254	14	forest	forest	NOUN
cana-2346	254	15	model	model	NOUN
cana-2346	254	16	precision	precision	PROPN
cana-2346	254	17	recall	recall	NOUN
cana-2346	254	18	f1	f1	NOUN
cana-2346	254	19	-	-	PUNCT
cana-2346	254	20	score	score	NOUN
cana-2346	254	21	support	support	NOUN
cana-2346	254	22	apple	apple	NOUN
cana-2346	254	23	1	1	NUM
cana-2346	254	24	1	1	NUM
cana-2346	254	25	1	1	NUM
cana-2346	254	26	24	24	NUM
cana-2346	254	27	banana	banana	NOUN
cana-2346	254	28	1	1	NUM
cana-2346	254	29	1	1	NUM
cana-2346	254	30	1	1	NUM
cana-2346	254	31	15	15	NUM
cana-2346	254	32	blackgram	blackgram	NOUN
cana-2346	254	33	1	1	NUM
cana-2346	254	34	1	1	NUM
cana-2346	254	35	1	1	NUM
cana-2346	254	36	22	22	NUM
cana-2346	254	37	chickpea	chickpea	NOUN
cana-2346	254	38	1	1	NUM
cana-2346	254	39	1	1	NUM
cana-2346	254	40	1	1	NUM
cana-2346	254	41	19	19	NUM
cana-2346	254	42	coconut	coconut	NOUN
cana-2346	254	43	1	1	NUM
cana-2346	254	44	1	1	NUM
cana-2346	254	45	1	1	NUM
cana-2346	254	46	20	20	NUM
cana-2346	254	47	coffee	coffee	NOUN
cana-2346	254	48	1	1	NUM
cana-2346	254	49	1	1	NUM
cana-2346	254	50	1	1	NUM
cana-2346	254	51	25	25	NUM
cana-2346	254	52	cotton	cotton	NOUN
cana-2346	254	53	1	1	NUM
cana-2346	254	54	1	1	NUM
cana-2346	254	55	1	1	NUM
cana-2346	254	56	13	13	NUM
cana-2346	254	57	communications	communication	NOUN
cana-2346	254	58	on	on	ADP
cana-2346	254	59	applied	apply	VERB
cana-2346	254	60	nonlinear	nonlinear	ADJ
cana-2346	254	61	analysis	analysis	NOUN
cana-2346	254	62	issn	issn	NOUN
cana-2346	254	63	:	:	PUNCT
cana-2346	254	64	1074	1074	NUM
cana-2346	254	65	-	-	PUNCT
cana-2346	254	66	133x	133x	NUM
cana-2346	254	67	vol	vol	NOUN
cana-2346	254	68	32	32	NUM
cana-2346	254	69	no	no	NOUN
cana-2346	254	70	.	.	PUNCT
cana-2346	255	1	1s	1s	NUM
cana-2346	255	2	(	(	PUNCT
cana-2346	255	3	2025	2025	NUM
cana-2346	255	4	)	)	PUNCT
cana-2346	255	5	599	599	NUM
cana-2346	255	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	255	7	grapes	grape	NOUN
cana-2346	255	8	1	1	NUM
cana-2346	255	9	1	1	NUM
cana-2346	255	10	1	1	NUM
cana-2346	255	11	17	17	NUM
cana-2346	255	12	jute	jute	NOUN
cana-2346	255	13	0.94	0.94	NUM
cana-2346	255	14	1	1	NUM
cana-2346	255	15	0.97	0.97	NUM
cana-2346	255	16	15	15	NUM
cana-2346	255	17	kidneybeans	kidneybean	NOUN
cana-2346	255	18	1	1	NUM
cana-2346	255	19	1	1	NUM
cana-2346	255	20	1	1	NUM
cana-2346	255	21	16	16	NUM
cana-2346	255	22	lentil	lentil	NOUN
cana-2346	255	23	1	1	NUM
cana-2346	255	24	1	1	NUM
cana-2346	255	25	1	1	NUM
cana-2346	255	26	18	18	NUM
cana-2346	255	27	maize	maize	NOUN
cana-2346	255	28	1	1	NUM
cana-2346	255	29	1	1	NUM
cana-2346	255	30	1	1	NUM
cana-2346	255	31	27	27	NUM
cana-2346	255	32	mango	mango	NOUN
cana-2346	255	33	1	1	NUM
cana-2346	255	34	1	1	NUM
cana-2346	255	35	1	1	NUM
cana-2346	255	36	18	18	NUM
cana-2346	255	37	mothbeans	mothbean	NOUN
cana-2346	255	38	1	1	NUM
cana-2346	255	39	1	1	NUM
cana-2346	255	40	1	1	NUM
cana-2346	255	41	22	22	NUM
cana-2346	255	42	mungbean	mungbean	NOUN
cana-2346	255	43	1	1	NUM
cana-2346	255	44	1	1	NUM
cana-2346	255	45	1	1	NUM
cana-2346	255	46	19	19	NUM
cana-2346	255	47	muskmelon	muskmelon	NOUN
cana-2346	255	48	1	1	NUM
cana-2346	255	49	1	1	NUM
cana-2346	255	50	1	1	NUM
cana-2346	255	51	24	24	NUM
cana-2346	255	52	orange	orange	NOUN
cana-2346	255	53	1	1	NUM
cana-2346	255	54	1	1	NUM
cana-2346	255	55	1	1	NUM
cana-2346	255	56	23	23	NUM
cana-2346	255	57	papaya	papaya	NOUN
cana-2346	255	58	1	1	NUM
cana-2346	255	59	1	1	NUM
cana-2346	255	60	1	1	NUM
cana-2346	255	61	20	20	NUM
cana-2346	255	62	pigeonpeas	pigeonpea	NOUN
cana-2346	255	63	1	1	NUM
cana-2346	255	64	1	1	NUM
cana-2346	255	65	1	1	NUM
cana-2346	255	66	24	24	NUM
cana-2346	255	67	pomegranate	pomegranate	NOUN
cana-2346	255	68	1	1	NUM
cana-2346	255	69	1	1	NUM
cana-2346	255	70	1	1	NUM
cana-2346	255	71	17	17	NUM
cana-2346	255	72	rice	rice	NOUN
cana-2346	255	73	1	1	NUM
cana-2346	255	74	0.93	0.93	NUM
cana-2346	255	75	0.97	0.97	NUM
cana-2346	255	76	15	15	NUM
cana-2346	255	77	watermelon	watermelon	NOUN
cana-2346	255	78	1	1	NUM
cana-2346	255	79	1	1	NUM
cana-2346	255	80	1	1	NUM
cana-2346	255	81	27	27	NUM
cana-2346	255	82	the	the	DET
cana-2346	255	83	confusion	confusion	NOUN
cana-2346	255	84	matrix	matrix	NOUN
cana-2346	255	85	of	of	ADP
cana-2346	255	86	the	the	DET
cana-2346	255	87	training	training	NOUN
cana-2346	255	88	data	datum	NOUN
cana-2346	255	89	for	for	ADP
cana-2346	255	90	the	the	DET
cana-2346	255	91	random	random	ADJ
cana-2346	255	92	forest	forest	NOUN
cana-2346	255	93	model	model	NOUN
cana-2346	255	94	is	be	AUX
cana-2346	255	95	depicted	depict	VERB
cana-2346	255	96	in	in	ADP
cana-2346	255	97	figure	figure	NOUN
cana-2346	255	98	9	9	NUM
cana-2346	255	99	.	.	PUNCT
cana-2346	256	1	from	from	ADP
cana-2346	256	2	the	the	DET
cana-2346	256	3	figure	figure	NOUN
cana-2346	256	4	9	9	NUM
cana-2346	256	5	,	,	PUNCT
cana-2346	256	6	the	the	DET
cana-2346	256	7	results	result	NOUN
cana-2346	256	8	indicate	indicate	VERB
cana-2346	256	9	that	that	SCONJ
cana-2346	256	10	the	the	DET
cana-2346	256	11	model	model	NOUN
cana-2346	256	12	achieved	achieve	VERB
cana-2346	256	13	exceptionally	exceptionally	ADV
cana-2346	256	14	high	high	ADJ
cana-2346	256	15	accuracy	accuracy	NOUN
cana-2346	256	16	,	,	PUNCT
cana-2346	256	17	precision	precision	NOUN
cana-2346	256	18	,	,	PUNCT
cana-2346	256	19	and	and	CCONJ
cana-2346	256	20	recall	recall	VERB
cana-2346	256	21	for	for	ADP
cana-2346	256	22	each	each	DET
cana-2346	256	23	crop	crop	NOUN
cana-2346	256	24	class	class	NOUN
cana-2346	256	25	,	,	PUNCT
cana-2346	256	26	as	as	SCONJ
cana-2346	256	27	evidenced	evidence	VERB
cana-2346	256	28	by	by	ADP
cana-2346	256	29	the	the	DET
cana-2346	256	30	confusion	confusion	NOUN
cana-2346	256	31	matrix	matrix	NOUN
cana-2346	256	32	showing	show	VERB
cana-2346	256	33	minimal	minimal	ADJ
cana-2346	256	34	misclassifications	misclassification	NOUN
cana-2346	256	35	.	.	PUNCT
cana-2346	257	1	this	this	PRON
cana-2346	257	2	suggests	suggest	VERB
cana-2346	257	3	that	that	SCONJ
cana-2346	257	4	the	the	DET
cana-2346	257	5	model	model	NOUN
cana-2346	257	6	is	be	AUX
cana-2346	257	7	highly	highly	ADV
cana-2346	257	8	effective	effective	ADJ
cana-2346	257	9	at	at	ADP
cana-2346	257	10	predicting	predict	VERB
cana-2346	257	11	the	the	DET
cana-2346	257	12	crop	crop	NOUN
cana-2346	257	13	class	class	NOUN
cana-2346	257	14	based	base	VERB
cana-2346	257	15	on	on	ADP
cana-2346	257	16	the	the	DET
cana-2346	257	17	input	input	NOUN
cana-2346	257	18	features	feature	NOUN
cana-2346	257	19	.	.	PUNCT
cana-2346	258	1	figure	figure	VERB
cana-2346	258	2	8	8	NUM
cana-2346	258	3	random	random	ADJ
cana-2346	258	4	forest	forest	NOUN
cana-2346	258	5	model	model	NOUN
cana-2346	258	6	’s	’s	PART
cana-2346	258	7	precision	precision	NOUN
cana-2346	258	8	,	,	PUNCT
cana-2346	258	9	recall	recall	NOUN
cana-2346	258	10	and	and	CCONJ
cana-2346	258	11	f1	f1	ADJ
cana-2346	258	12	-	-	PUNCT
cana-2346	258	13	score	score	NOUN
cana-2346	258	14	figure	figure	NOUN
cana-2346	258	15	9	9	NUM
cana-2346	258	16	confusion	confusion	NOUN
cana-2346	258	17	matrix	matrix	NOUN
cana-2346	258	18	for	for	ADP
cana-2346	258	19	random	random	ADJ
cana-2346	258	20	forest	forest	NOUN
cana-2346	258	21	model	model	NOUN
cana-2346	258	22	gradient	gradient	PROPN
cana-2346	258	23	boost	boost	NOUN
cana-2346	258	24	:	:	PUNCT
cana-2346	258	25	the	the	DET
cana-2346	258	26	provided	provide	VERB
cana-2346	258	27	results	result	NOUN
cana-2346	258	28	include	include	VERB
cana-2346	258	29	accuracy	accuracy	NOUN
cana-2346	258	30	,	,	PUNCT
cana-2346	258	31	precision	precision	NOUN
cana-2346	258	32	,	,	PUNCT
cana-2346	258	33	recall	recall	NOUN
cana-2346	258	34	,	,	PUNCT
cana-2346	258	35	and	and	CCONJ
cana-2346	258	36	the	the	DET
cana-2346	258	37	confusion	confusion	NOUN
cana-2346	258	38	matrix	matrix	NOUN
cana-2346	258	39	for	for	ADP
cana-2346	258	40	a	a	DET
cana-2346	258	41	classification	classification	NOUN
cana-2346	258	42	model	model	NOUN
cana-2346	258	43	.	.	PUNCT
cana-2346	259	1	the	the	DET
cana-2346	259	2	actual	actual	ADJ
cana-2346	259	3	data	datum	NOUN
cana-2346	259	4	is	be	AUX
cana-2346	259	5	shown	show	VERB
cana-2346	259	6	in	in	ADP
cana-2346	259	7	table	table	NOUN
cana-2346	259	8	3	3	NUM
cana-2346	259	9	.	.	PUNCT
cana-2346	260	1	for	for	ADP
cana-2346	260	2	these	these	DET
cana-2346	260	3	values	value	NOUN
cana-2346	260	4	of	of	ADP
cana-2346	260	5	table	table	NOUN
cana-2346	260	6	3	3	NUM
cana-2346	260	7	,	,	PUNCT
cana-2346	260	8	we	we	PRON
cana-2346	260	9	drawn	draw	VERB
cana-2346	260	10	the	the	DET
cana-2346	260	11	bar	bar	NOUN
cana-2346	260	12	plot	plot	NOUN
cana-2346	260	13	and	and	CCONJ
cana-2346	260	14	it	it	PRON
cana-2346	260	15	is	be	AUX
cana-2346	260	16	represented	represent	VERB
cana-2346	260	17	in	in	ADP
cana-2346	260	18	figure	figure	NOUN
cana-2346	260	19	10	10	NUM
cana-2346	260	20	.	.	PUNCT
cana-2346	261	1	from	from	ADP
cana-2346	261	2	the	the	DET
cana-2346	261	3	table	table	NOUN
cana-2346	261	4	3	3	NUM
cana-2346	261	5	and	and	CCONJ
cana-2346	261	6	figure	figure	NOUN
cana-2346	261	7	10	10	NUM
cana-2346	261	8	,	,	PUNCT
cana-2346	261	9	the	the	DET
cana-2346	261	10	following	follow	VERB
cana-2346	261	11	observations	observation	NOUN
cana-2346	261	12	are	be	AUX
cana-2346	261	13	made	make	VERB
cana-2346	261	14	.	.	PUNCT
cana-2346	262	1	accuracy	accuracy	NOUN
cana-2346	262	2	:	:	PUNCT
cana-2346	262	3	refers	refer	VERB
cana-2346	262	4	to	to	ADP
cana-2346	262	5	how	how	SCONJ
cana-2346	262	6	correct	correct	VERB
cana-2346	262	7	the	the	DET
cana-2346	262	8	model	model	NOUN
cana-2346	262	9	's	's	PART
cana-2346	262	10	predictions	prediction	NOUN
cana-2346	262	11	are	be	AUX
cana-2346	262	12	in	in	ADP
cana-2346	262	13	general	general	ADJ
cana-2346	262	14	.	.	PUNCT
cana-2346	263	1	it	it	PRON
cana-2346	263	2	is	be	AUX
cana-2346	263	3	determined	determine	VERB
cana-2346	263	4	by	by	ADP
cana-2346	263	5	dividing	divide	VERB
cana-2346	263	6	the	the	DET
cana-2346	263	7	number	number	NOUN
cana-2346	263	8	of	of	ADP
cana-2346	263	9	correctly	correctly	ADV
cana-2346	263	10	predicted	predict	VERB
cana-2346	263	11	instances	instance	NOUN
cana-2346	263	12	by	by	ADP
cana-2346	263	13	the	the	DET
cana-2346	263	14	total	total	ADJ
cana-2346	263	15	number	number	NOUN
cana-2346	263	16	of	of	ADP
cana-2346	263	17	instances	instance	NOUN
cana-2346	263	18	.	.	PUNCT
cana-2346	264	1	in	in	ADP
cana-2346	264	2	this	this	DET
cana-2346	264	3	instance	instance	NOUN
cana-2346	264	4	,	,	PUNCT
cana-2346	264	5	the	the	DET
cana-2346	264	6	model	model	NOUN
cana-2346	264	7	's	's	PART
cana-2346	264	8	accuracy	accuracy	NOUN
cana-2346	264	9	stands	stand	VERB
cana-2346	264	10	at	at	ADP
cana-2346	264	11	97	97	NUM
cana-2346	264	12	%	%	NOUN
cana-2346	264	13	,	,	PUNCT
cana-2346	264	14	showing	show	VERB
cana-2346	264	15	that	that	SCONJ
cana-2346	264	16	it	it	PRON
cana-2346	264	17	accurately	accurately	ADV
cana-2346	264	18	classified	classify	VERB
cana-2346	264	19	97	97	NUM
cana-2346	264	20	%	%	NOUN
cana-2346	264	21	of	of	ADP
cana-2346	264	22	the	the	DET
cana-2346	264	23	cases	case	NOUN
cana-2346	264	24	.	.	PUNCT
cana-2346	265	1	communications	communication	NOUN
cana-2346	265	2	on	on	ADP
cana-2346	265	3	applied	apply	VERB
cana-2346	265	4	nonlinear	nonlinear	ADJ
cana-2346	265	5	analysis	analysis	NOUN
cana-2346	265	6	issn	issn	NOUN
cana-2346	265	7	:	:	PUNCT
cana-2346	265	8	1074	1074	NUM
cana-2346	265	9	-	-	PUNCT
cana-2346	265	10	133x	133x	NUM
cana-2346	265	11	vol	vol	NOUN
cana-2346	265	12	32	32	NUM
cana-2346	265	13	no	no	NOUN
cana-2346	265	14	.	.	PUNCT
cana-2346	266	1	1s	1s	NUM
cana-2346	266	2	(	(	PUNCT
cana-2346	266	3	2025	2025	NUM
cana-2346	266	4	)	)	PUNCT
cana-2346	266	5	600	600	NUM
cana-2346	266	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	266	7	table	table	NOUN
cana-2346	266	8	3	3	NUM
cana-2346	266	9	precision	precision	NOUN
cana-2346	266	10	,	,	PUNCT
cana-2346	266	11	recall	recall	NOUN
cana-2346	266	12	,	,	PUNCT
cana-2346	266	13	f1	f1	NOUN
cana-2346	266	14	score	score	NOUN
cana-2346	266	15	and	and	CCONJ
cana-2346	266	16	support	support	NOUN
cana-2346	266	17	data	datum	NOUN
cana-2346	266	18	of	of	ADP
cana-2346	266	19	random	random	ADJ
cana-2346	266	20	forest	forest	NOUN
cana-2346	266	21	model	model	NOUN
cana-2346	266	22	precision	precision	PROPN
cana-2346	266	23	recall	recall	NOUN
cana-2346	266	24	f1	f1	NOUN
cana-2346	266	25	-	-	PUNCT
cana-2346	266	26	score	score	NOUN
cana-2346	266	27	support	support	NOUN
cana-2346	266	28	apple	apple	NOUN
cana-2346	266	29	1	1	NUM
cana-2346	266	30	1	1	NUM
cana-2346	266	31	1	1	NUM
cana-2346	266	32	24	24	NUM
cana-2346	266	33	banana	banana	NOUN
cana-2346	266	34	0.94	0.94	NUM
cana-2346	266	35	1	1	NUM
cana-2346	266	36	0.97	0.97	NUM
cana-2346	266	37	15	15	NUM
cana-2346	266	38	blackgram	blackgram	NOUN
cana-2346	266	39	0.85	0.85	NUM
cana-2346	266	40	1	1	NUM
cana-2346	266	41	0.92	0.92	NUM
cana-2346	266	42	22	22	NUM
cana-2346	266	43	chickpea	chickpea	NOUN
cana-2346	266	44	1	1	NUM
cana-2346	266	45	1	1	NUM
cana-2346	266	46	1	1	NUM
cana-2346	266	47	19	19	NUM
cana-2346	266	48	coconut	coconut	NOUN
cana-2346	266	49	1	1	NUM
cana-2346	266	50	1	1	NUM
cana-2346	266	51	1	1	NUM
cana-2346	266	52	20	20	NUM
cana-2346	266	53	coffee	coffee	NOUN
cana-2346	266	54	0.96	0.96	NUM
cana-2346	266	55	1	1	NUM
cana-2346	266	56	0.98	0.98	NUM
cana-2346	266	57	25	25	NUM
cana-2346	266	58	cotton	cotton	NOUN
cana-2346	266	59	1	1	NUM
cana-2346	266	60	1	1	NUM
cana-2346	266	61	1	1	NUM
cana-2346	266	62	13	13	NUM
cana-2346	266	63	grapes	grape	NOUN
cana-2346	266	64	1	1	NUM
cana-2346	266	65	1	1	NUM
cana-2346	266	66	1	1	NUM
cana-2346	266	67	17	17	NUM
cana-2346	266	68	jute	jute	NOUN
cana-2346	266	69	0.83	0.83	NUM
cana-2346	266	70	1	1	NUM
cana-2346	266	71	0.91	0.91	NUM
cana-2346	266	72	15	15	NUM
cana-2346	266	73	kidneybeans	kidneybean	NOUN
cana-2346	266	74	1	1	NUM
cana-2346	266	75	1	1	NUM
cana-2346	266	76	1	1	NUM
cana-2346	266	77	16	16	NUM
cana-2346	266	78	lentil	lentil	NOUN
cana-2346	266	79	0.9	0.9	NUM
cana-2346	266	80	1	1	NUM
cana-2346	266	81	0.95	0.95	NUM
cana-2346	266	82	18	18	NUM
cana-2346	266	83	maize	maize	NOUN
cana-2346	266	84	1	1	NUM
cana-2346	266	85	1	1	NUM
cana-2346	266	86	1	1	NUM
cana-2346	266	87	27	27	NUM
cana-2346	266	88	mango	mango	NOUN
cana-2346	266	89	1	1	NUM
cana-2346	266	90	1	1	NUM
cana-2346	266	91	1	1	NUM
cana-2346	266	92	18	18	NUM
cana-2346	266	93	mothbeans	mothbean	NOUN
cana-2346	266	94	1	1	NUM
cana-2346	266	95	0.77	0.77	NUM
cana-2346	266	96	0.87	0.87	NUM
cana-2346	266	97	22	22	NUM
cana-2346	266	98	mungbean	mungbean	NOUN
cana-2346	266	99	1	1	NUM
cana-2346	266	100	1	1	NUM
cana-2346	266	101	1	1	NUM
cana-2346	266	102	19	19	NUM
cana-2346	266	103	muskmelon	muskmelon	NOUN
cana-2346	266	104	1	1	NUM
cana-2346	266	105	1	1	NUM
cana-2346	266	106	1	1	NUM
cana-2346	266	107	24	24	NUM
cana-2346	266	108	orange	orange	NOUN
cana-2346	266	109	1	1	NUM
cana-2346	266	110	0.91	0.91	NUM
cana-2346	266	111	0.95	0.95	NUM
cana-2346	266	112	23	23	NUM
cana-2346	266	113	papaya	papaya	NOUN
cana-2346	266	114	1	1	NUM
cana-2346	266	115	1	1	NUM
cana-2346	266	116	1	1	NUM
cana-2346	266	117	20	20	NUM
cana-2346	266	118	pigeonpeas	pigeonpea	NOUN
cana-2346	266	119	1	1	NUM
cana-2346	266	120	0.88	0.88	NUM
cana-2346	266	121	0.93	0.93	NUM
cana-2346	266	122	24	24	NUM
cana-2346	266	123	pomegranate	pomegranate	NOUN
cana-2346	266	124	0.89	0.89	NUM
cana-2346	266	125	1	1	NUM
cana-2346	266	126	0.94	0.94	NUM
cana-2346	266	127	17	17	NUM
cana-2346	266	128	rice	rice	NOUN
cana-2346	266	129	1	1	NUM
cana-2346	266	130	0.8	0.8	NUM
cana-2346	266	131	0.89	0.89	NUM
cana-2346	266	132	15	15	NUM
cana-2346	266	133	watermelon	watermelon	NOUN
cana-2346	266	134	1	1	NUM
cana-2346	266	135	1	1	NUM
cana-2346	266	136	1	1	NUM
cana-2346	266	137	27	27	NUM
cana-2346	266	138	precision	precision	NOUN
cana-2346	266	139	is	be	AUX
cana-2346	266	140	a	a	DET
cana-2346	266	141	metric	metric	NOUN
cana-2346	266	142	that	that	PRON
cana-2346	266	143	evaluates	evaluate	VERB
cana-2346	266	144	the	the	DET
cana-2346	266	145	correctness	correctness	NOUN
cana-2346	266	146	of	of	ADP
cana-2346	266	147	positive	positive	ADJ
cana-2346	266	148	forecasts	forecast	NOUN
cana-2346	266	149	generated	generate	VERB
cana-2346	266	150	by	by	ADP
cana-2346	266	151	the	the	DET
cana-2346	266	152	model	model	NOUN
cana-2346	266	153	.	.	PUNCT
cana-2346	267	1	it	it	PRON
cana-2346	267	2	is	be	AUX
cana-2346	267	3	determined	determine	VERB
cana-2346	267	4	by	by	ADP
cana-2346	267	5	dividing	divide	VERB
cana-2346	267	6	the	the	DET
cana-2346	267	7	number	number	NOUN
cana-2346	267	8	of	of	ADP
cana-2346	267	9	true	true	ADJ
cana-2346	267	10	positive	positive	ADJ
cana-2346	267	11	instances	instance	NOUN
cana-2346	267	12	by	by	ADP
cana-2346	267	13	the	the	DET
cana-2346	267	14	total	total	NOUN
cana-2346	267	15	of	of	ADP
cana-2346	267	16	true	true	ADJ
cana-2346	267	17	positives	positive	NOUN
cana-2346	267	18	and	and	CCONJ
cana-2346	267	19	false	false	ADJ
cana-2346	267	20	positives	positive	NOUN
cana-2346	267	21	.	.	PUNCT
cana-2346	268	1	in	in	ADP
cana-2346	268	2	the	the	DET
cana-2346	268	3	class	class	NOUN
cana-2346	268	4	"	"	PUNCT
cana-2346	268	5	apple	apple	NOUN
cana-2346	268	6	,	,	PUNCT
cana-2346	268	7	"	"	PUNCT
cana-2346	268	8	a	a	DET
cana-2346	268	9	precision	precision	NOUN
cana-2346	268	10	of	of	ADP
cana-2346	268	11	1	1	NUM
cana-2346	268	12	means	mean	NOUN
cana-2346	268	13	all	all	PRON
cana-2346	268	14	predicted	predict	VERB
cana-2346	268	15	instances	instance	NOUN
cana-2346	268	16	as	as	SCONJ
cana-2346	268	17	apples	apple	NOUN
cana-2346	268	18	were	be	AUX
cana-2346	268	19	correct	correct	ADJ
cana-2346	268	20	.	.	PUNCT
cana-2346	269	1	similarly	similarly	ADV
cana-2346	269	2	,	,	PUNCT
cana-2346	269	3	precision	precision	NOUN
cana-2346	269	4	for	for	ADP
cana-2346	269	5	different	different	ADJ
cana-2346	269	6	classes	class	NOUN
cana-2346	269	7	varies	vary	VERB
cana-2346	269	8	from	from	ADP
cana-2346	269	9	0.83	0.83	NUM
cana-2346	269	10	to	to	ADP
cana-2346	269	11	1	1	NUM
cana-2346	269	12	,	,	PUNCT
cana-2346	269	13	showing	show	VERB
cana-2346	269	14	high	high	ADJ
cana-2346	269	15	precision	precision	NOUN
cana-2346	269	16	for	for	ADP
cana-2346	269	17	most	most	ADJ
cana-2346	269	18	classes	class	NOUN
cana-2346	269	19	.	.	PUNCT
cana-2346	270	1	recall	recall	NOUN
cana-2346	270	2	,	,	PUNCT
cana-2346	270	3	or	or	CCONJ
cana-2346	270	4	sensitivity	sensitivity	NOUN
cana-2346	270	5	,	,	PUNCT
cana-2346	270	6	assesses	assess	VERB
cana-2346	270	7	how	how	SCONJ
cana-2346	270	8	many	many	ADJ
cana-2346	270	9	true	true	ADJ
cana-2346	270	10	positive	positive	ADJ
cana-2346	270	11	instances	instance	NOUN
cana-2346	270	12	were	be	AUX
cana-2346	270	13	accurately	accurately	ADV
cana-2346	270	14	predicted	predict	VERB
cana-2346	270	15	by	by	ADP
cana-2346	270	16	the	the	DET
cana-2346	270	17	model	model	NOUN
cana-2346	270	18	.	.	PUNCT
cana-2346	271	1	it	it	PRON
cana-2346	271	2	is	be	AUX
cana-2346	271	3	determined	determine	VERB
cana-2346	271	4	by	by	ADP
cana-2346	271	5	dividing	divide	VERB
cana-2346	271	6	the	the	DET
cana-2346	271	7	number	number	NOUN
cana-2346	271	8	of	of	ADP
cana-2346	271	9	true	true	ADJ
cana-2346	271	10	positive	positive	ADJ
cana-2346	271	11	instances	instance	NOUN
cana-2346	271	12	by	by	ADP
cana-2346	271	13	the	the	DET
cana-2346	271	14	sum	sum	NOUN
cana-2346	271	15	of	of	ADP
cana-2346	271	16	true	true	ADJ
cana-2346	271	17	positives	positive	NOUN
cana-2346	271	18	and	and	CCONJ
cana-2346	271	19	false	false	ADJ
cana-2346	271	20	negatives	negative	NOUN
cana-2346	271	21	.	.	PUNCT
cana-2346	272	1	as	as	ADP
cana-2346	272	2	an	an	DET
cana-2346	272	3	example	example	NOUN
cana-2346	272	4	,	,	PUNCT
cana-2346	272	5	the	the	DET
cana-2346	272	6	recall	recall	NOUN
cana-2346	272	7	for	for	ADP
cana-2346	272	8	the	the	DET
cana-2346	272	9	category	category	NOUN
cana-2346	272	10	"	"	PUNCT
cana-2346	272	11	mothbeans	mothbean	NOUN
cana-2346	272	12	"	"	PUNCT
cana-2346	272	13	stands	stand	VERB
cana-2346	272	14	at	at	ADP
cana-2346	272	15	0.77	0.77	NUM
cana-2346	272	16	,	,	PUNCT
cana-2346	272	17	indicating	indicate	VERB
cana-2346	272	18	that	that	SCONJ
cana-2346	272	19	77	77	NUM
cana-2346	272	20	%	%	NOUN
cana-2346	272	21	of	of	ADP
cana-2346	272	22	real	real	ADJ
cana-2346	272	23	mothbeans	mothbean	NOUN
cana-2346	272	24	were	be	AUX
cana-2346	272	25	accurately	accurately	ADV
cana-2346	272	26	recognized	recognize	VERB
cana-2346	272	27	by	by	ADP
cana-2346	272	28	the	the	DET
cana-2346	272	29	model	model	NOUN
cana-2346	272	30	.	.	PUNCT
cana-2346	273	1	remember	remember	VERB
cana-2346	273	2	that	that	PRON
cana-2346	273	3	class	class	NOUN
cana-2346	273	4	recall	recall	NOUN
cana-2346	273	5	values	value	NOUN
cana-2346	273	6	vary	vary	VERB
cana-2346	273	7	between	between	ADP
cana-2346	273	8	0.8	0.8	NUM
cana-2346	273	9	and	and	CCONJ
cana-2346	273	10	1	1	NUM
cana-2346	273	11	.	.	PUNCT
cana-2346	274	1	the	the	DET
cana-2346	274	2	f1	f1	NOUN
cana-2346	274	3	-	-	PUNCT
cana-2346	274	4	score	score	NOUN
cana-2346	274	5	represents	represent	VERB
cana-2346	274	6	the	the	DET
cana-2346	274	7	harmonic	harmonic	ADJ
cana-2346	274	8	average	average	NOUN
cana-2346	274	9	of	of	ADP
cana-2346	274	10	precision	precision	NOUN
cana-2346	274	11	and	and	CCONJ
cana-2346	274	12	recall	recall	NOUN
cana-2346	274	13	.	.	PUNCT
cana-2346	275	1	it	it	PRON
cana-2346	275	2	offers	offer	VERB
cana-2346	275	3	an	an	DET
cana-2346	275	4	even	even	ADJ
cana-2346	275	5	assessment	assessment	NOUN
cana-2346	275	6	of	of	ADP
cana-2346	275	7	a	a	DET
cana-2346	275	8	model	model	NOUN
cana-2346	275	9	's	's	PART
cana-2346	275	10	effectiveness	effectiveness	NOUN
cana-2346	275	11	,	,	PUNCT
cana-2346	275	12	taking	take	VERB
cana-2346	275	13	into	into	ADP
cana-2346	275	14	account	account	NOUN
cana-2346	275	15	both	both	DET
cana-2346	275	16	precision	precision	NOUN
cana-2346	275	17	and	and	CCONJ
cana-2346	275	18	recall	recall	NOUN
cana-2346	275	19	.	.	PUNCT
cana-2346	276	1	f1	f1	NOUN
cana-2346	276	2	-	-	PUNCT
cana-2346	276	3	score	score	NOUN
cana-2346	276	4	for	for	ADP
cana-2346	276	5	various	various	ADJ
cana-2346	276	6	classes	class	NOUN
cana-2346	276	7	ranges	range	VERB
cana-2346	276	8	from	from	ADP
cana-2346	276	9	communications	communication	NOUN
cana-2346	276	10	on	on	ADP
cana-2346	276	11	applied	apply	VERB
cana-2346	276	12	nonlinear	nonlinear	ADJ
cana-2346	276	13	analysis	analysis	NOUN
cana-2346	276	14	issn	issn	NOUN
cana-2346	276	15	:	:	PUNCT
cana-2346	276	16	1074	1074	NUM
cana-2346	276	17	-	-	PUNCT
cana-2346	276	18	133x	133x	NUM
cana-2346	276	19	vol	vol	NOUN
cana-2346	276	20	32	32	NUM
cana-2346	276	21	no	no	NOUN
cana-2346	276	22	.	.	PUNCT
cana-2346	277	1	1s	1s	NUM
cana-2346	277	2	(	(	PUNCT
cana-2346	277	3	2025	2025	NUM
cana-2346	277	4	)	)	PUNCT
cana-2346	277	5	601	601	NUM
cana-2346	277	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	277	7	0.87	0.87	NUM
cana-2346	277	8	to	to	ADP
cana-2346	277	9	1	1	NUM
cana-2346	277	10	,	,	PUNCT
cana-2346	277	11	showing	show	VERB
cana-2346	277	12	strong	strong	ADJ
cana-2346	277	13	performance	performance	NOUN
cana-2346	277	14	in	in	ADP
cana-2346	277	15	the	the	DET
cana-2346	277	16	majority	majority	NOUN
cana-2346	277	17	of	of	ADP
cana-2346	277	18	classes	class	NOUN
cana-2346	277	19	.	.	PUNCT
cana-2346	278	1	figure	figure	VERB
cana-2346	278	2	10	10	NUM
cana-2346	278	3	gradient	gradient	PROPN
cana-2346	278	4	boost	boost	NOUN
cana-2346	278	5	model	model	NOUN
cana-2346	278	6	’s	’s	PART
cana-2346	278	7	precision	precision	NOUN
cana-2346	278	8	,	,	PUNCT
cana-2346	278	9	recall	recall	NOUN
cana-2346	278	10	and	and	CCONJ
cana-2346	278	11	f1	f1	ADJ
cana-2346	278	12	-	-	PUNCT
cana-2346	278	13	score	score	NOUN
cana-2346	278	14	figure	figure	NOUN
cana-2346	278	15	11	11	NUM
cana-2346	278	16	illustrates	illustrate	VERB
cana-2346	278	17	the	the	DET
cana-2346	278	18	confusion	confusion	NOUN
cana-2346	278	19	matrix	matrix	NOUN
cana-2346	278	20	of	of	ADP
cana-2346	278	21	the	the	DET
cana-2346	278	22	gradient	gradient	NOUN
cana-2346	278	23	boost	boost	NOUN
cana-2346	278	24	model	model	NOUN
cana-2346	278	25	's	's	PART
cana-2346	278	26	training	training	NOUN
cana-2346	278	27	data	datum	NOUN
cana-2346	278	28	.	.	PUNCT
cana-2346	279	1	in	in	ADP
cana-2346	279	2	general	general	ADJ
cana-2346	279	3	,	,	PUNCT
cana-2346	279	4	the	the	DET
cana-2346	279	5	results	result	NOUN
cana-2346	279	6	from	from	ADP
cana-2346	279	7	figure	figure	NOUN
cana-2346	279	8	11	11	NUM
cana-2346	279	9	show	show	NOUN
cana-2346	279	10	that	that	SCONJ
cana-2346	279	11	the	the	DET
cana-2346	279	12	model	model	NOUN
cana-2346	279	13	excels	excel	VERB
cana-2346	279	14	in	in	ADP
cana-2346	279	15	accuracy	accuracy	NOUN
cana-2346	279	16	,	,	PUNCT
cana-2346	279	17	precision	precision	NOUN
cana-2346	279	18	,	,	PUNCT
cana-2346	279	19	recall	recall	NOUN
cana-2346	279	20	,	,	PUNCT
cana-2346	279	21	and	and	CCONJ
cana-2346	279	22	f1	f1	NOUN
cana-2346	279	23	-	-	PUNCT
cana-2346	279	24	score	score	NOUN
cana-2346	279	25	,	,	PUNCT
cana-2346	279	26	displaying	display	VERB
cana-2346	279	27	high	high	ADJ
cana-2346	279	28	values	value	NOUN
cana-2346	279	29	for	for	ADP
cana-2346	279	30	most	most	ADJ
cana-2346	279	31	categories	category	NOUN
cana-2346	279	32	.	.	PUNCT
cana-2346	280	1	nevertheless	nevertheless	ADV
cana-2346	280	2	,	,	PUNCT
cana-2346	280	3	there	there	PRON
cana-2346	280	4	might	might	AUX
cana-2346	280	5	be	be	AUX
cana-2346	280	6	certain	certain	ADJ
cana-2346	280	7	misclassifications	misclassification	NOUN
cana-2346	280	8	shown	show	VERB
cana-2346	280	9	in	in	ADP
cana-2346	280	10	the	the	DET
cana-2346	280	11	confusion	confusion	NOUN
cana-2346	280	12	matrix	matrix	NOUN
cana-2346	280	13	that	that	PRON
cana-2346	280	14	can	can	AUX
cana-2346	280	15	be	be	AUX
cana-2346	280	16	studied	study	VERB
cana-2346	280	17	in	in	ADP
cana-2346	280	18	more	more	ADJ
cana-2346	280	19	depth	depth	NOUN
cana-2346	280	20	to	to	PART
cana-2346	280	21	enhance	enhance	VERB
cana-2346	280	22	the	the	DET
cana-2346	280	23	model	model	NOUN
cana-2346	280	24	's	's	PART
cana-2346	280	25	effectiveness	effectiveness	NOUN
cana-2346	280	26	.	.	PUNCT
cana-2346	281	1	figure	figure	VERB
cana-2346	281	2	11	11	NUM
cana-2346	281	3	confusion	confusion	NOUN
cana-2346	281	4	matrix	matrix	NOUN
cana-2346	281	5	for	for	ADP
cana-2346	281	6	gradient	gradient	ADJ
cana-2346	281	7	boost	boost	NOUN
cana-2346	281	8	model	model	NOUN
cana-2346	281	9	xg	xg	PROPN
cana-2346	281	10	boost	boost	PROPN
cana-2346	281	11	reports	report	NOUN
cana-2346	281	12	precision	precision	NOUN
cana-2346	281	13	,	,	PUNCT
cana-2346	281	14	recall	recall	NOUN
cana-2346	281	15	,	,	PUNCT
cana-2346	281	16	and	and	CCONJ
cana-2346	281	17	f1	f1	NOUN
cana-2346	281	18	-	-	PUNCT
cana-2346	281	19	score	score	NOUN
cana-2346	281	20	for	for	ADP
cana-2346	281	21	individual	individual	ADJ
cana-2346	281	22	crop	crop	NOUN
cana-2346	281	23	classes	class	NOUN
cana-2346	281	24	,	,	PUNCT
cana-2346	281	25	in	in	ADP
cana-2346	281	26	addition	addition	NOUN
cana-2346	281	27	to	to	ADP
cana-2346	281	28	overall	overall	ADJ
cana-2346	281	29	accuracy	accuracy	NOUN
cana-2346	281	30	metrics	metric	NOUN
cana-2346	281	31	and	and	CCONJ
cana-2346	281	32	a	a	DET
cana-2346	281	33	confusion	confusion	NOUN
cana-2346	281	34	matrix	matrix	NOUN
cana-2346	281	35	.	.	PUNCT
cana-2346	282	1	table	table	NOUN
cana-2346	282	2	4	4	NUM
cana-2346	282	3	displays	display	VERB
cana-2346	282	4	the	the	DET
cana-2346	282	5	actual	actual	ADJ
cana-2346	282	6	data	datum	NOUN
cana-2346	282	7	.	.	PUNCT
cana-2346	283	1	after	after	ADP
cana-2346	283	2	examining	examine	VERB
cana-2346	283	3	the	the	DET
cana-2346	283	4	data	datum	NOUN
cana-2346	283	5	in	in	ADP
cana-2346	283	6	table	table	NOUN
cana-2346	283	7	4	4	NUM
cana-2346	283	8	,	,	PUNCT
cana-2346	283	9	a	a	DET
cana-2346	283	10	bar	bar	NOUN
cana-2346	283	11	graph	graph	NOUN
cana-2346	283	12	was	be	AUX
cana-2346	283	13	generated	generate	VERB
cana-2346	283	14	and	and	CCONJ
cana-2346	283	15	shown	show	VERB
cana-2346	283	16	in	in	ADP
cana-2346	283	17	figure	figure	NOUN
cana-2346	283	18	12	12	NUM
cana-2346	283	19	.	.	PUNCT
cana-2346	284	1	after	after	ADP
cana-2346	284	2	analyzing	analyze	VERB
cana-2346	284	3	table	table	NOUN
cana-2346	284	4	4	4	NUM
cana-2346	284	5	and	and	CCONJ
cana-2346	284	6	figure	figure	NOUN
cana-2346	284	7	12	12	NUM
cana-2346	284	8	,	,	PUNCT
cana-2346	284	9	the	the	DET
cana-2346	284	10	following	follow	VERB
cana-2346	284	11	insights	insight	NOUN
cana-2346	284	12	become	become	VERB
cana-2346	284	13	apparent	apparent	ADJ
cana-2346	284	14	.	.	PUNCT
cana-2346	285	1	precision	precision	NOUN
cana-2346	285	2	:	:	PUNCT
cana-2346	285	3	the	the	DET
cana-2346	285	4	precision	precision	NOUN
cana-2346	285	5	score	score	NOUN
cana-2346	285	6	of	of	ADP
cana-2346	285	7	the	the	DET
cana-2346	285	8	model	model	NOUN
cana-2346	285	9	is	be	AUX
cana-2346	285	10	1	1	NUM
cana-2346	285	11	,	,	PUNCT
cana-2346	285	12	signifying	signify	VERB
cana-2346	285	13	that	that	SCONJ
cana-2346	285	14	it	it	PRON
cana-2346	285	15	accurately	accurately	ADV
cana-2346	285	16	classified	classify	VERB
cana-2346	285	17	all	all	DET
cana-2346	285	18	examples	example	NOUN
cana-2346	285	19	in	in	ADP
cana-2346	285	20	the	the	DET
cana-2346	285	21	dataset	dataset	NOUN
cana-2346	285	22	.	.	PUNCT
cana-2346	286	1	it	it	PRON
cana-2346	286	2	is	be	AUX
cana-2346	286	3	crucial	crucial	ADJ
cana-2346	286	4	to	to	PART
cana-2346	286	5	consider	consider	VERB
cana-2346	286	6	that	that	PRON
cana-2346	286	7	even	even	ADV
cana-2346	286	8	though	though	SCONJ
cana-2346	286	9	achieving	achieve	VERB
cana-2346	286	10	high	high	ADJ
cana-2346	286	11	accuracy	accuracy	NOUN
cana-2346	286	12	is	be	AUX
cana-2346	286	13	preferable	preferable	ADJ
cana-2346	286	14	,	,	PUNCT
cana-2346	286	15	it	it	PRON
cana-2346	286	16	is	be	AUX
cana-2346	286	17	also	also	ADV
cana-2346	286	18	necessary	necessary	ADJ
cana-2346	286	19	to	to	PART
cana-2346	286	20	evaluate	evaluate	VERB
cana-2346	286	21	precision	precision	NOUN
cana-2346	286	22	,	,	PUNCT
cana-2346	286	23	recall	recall	NOUN
cana-2346	286	24	,	,	PUNCT
cana-2346	286	25	and	and	CCONJ
cana-2346	286	26	the	the	DET
cana-2346	286	27	confusion	confusion	NOUN
cana-2346	286	28	matrix	matrix	NOUN
cana-2346	286	29	in	in	ADP
cana-2346	286	30	order	order	NOUN
cana-2346	286	31	to	to	PART
cana-2346	286	32	fully	fully	ADV
cana-2346	286	33	comprehend	comprehend	VERB
cana-2346	286	34	the	the	DET
cana-2346	286	35	model	model	NOUN
cana-2346	286	36	's	's	PART
cana-2346	286	37	performance	performance	NOUN
cana-2346	286	38	.	.	PUNCT
cana-2346	287	1	communications	communication	NOUN
cana-2346	287	2	on	on	ADP
cana-2346	287	3	applied	apply	VERB
cana-2346	287	4	nonlinear	nonlinear	ADJ
cana-2346	287	5	analysis	analysis	NOUN
cana-2346	287	6	issn	issn	NOUN
cana-2346	287	7	:	:	PUNCT
cana-2346	287	8	1074	1074	NUM
cana-2346	287	9	-	-	PUNCT
cana-2346	287	10	133x	133x	NUM
cana-2346	287	11	vol	vol	NOUN
cana-2346	287	12	32	32	NUM
cana-2346	287	13	no	no	NOUN
cana-2346	287	14	.	.	PUNCT
cana-2346	288	1	1s	1s	NUM
cana-2346	288	2	(	(	PUNCT
cana-2346	288	3	2025	2025	NUM
cana-2346	288	4	)	)	PUNCT
cana-2346	288	5	602	602	NUM
cana-2346	288	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	288	7	precision	precision	NOUN
cana-2346	288	8	gauges	gauge	VERB
cana-2346	288	9	the	the	DET
cana-2346	288	10	correctness	correctness	NOUN
cana-2346	288	11	of	of	ADP
cana-2346	288	12	positive	positive	ADJ
cana-2346	288	13	forecasts	forecast	NOUN
cana-2346	288	14	.	.	PUNCT
cana-2346	289	1	a	a	DET
cana-2346	289	2	precision	precision	NOUN
cana-2346	289	3	score	score	NOUN
cana-2346	289	4	of	of	ADP
cana-2346	289	5	1	1	NUM
cana-2346	289	6	indicates	indicate	VERB
cana-2346	289	7	that	that	SCONJ
cana-2346	289	8	every	every	DET
cana-2346	289	9	instance	instance	NOUN
cana-2346	289	10	classified	classify	VERB
cana-2346	289	11	as	as	ADP
cana-2346	289	12	a	a	DET
cana-2346	289	13	particular	particular	ADJ
cana-2346	289	14	crop	crop	NOUN
cana-2346	289	15	was	be	AUX
cana-2346	289	16	accurately	accurately	ADV
cana-2346	289	17	predicted	predict	VERB
cana-2346	289	18	.	.	PUNCT
cana-2346	290	1	in	in	ADP
cana-2346	290	2	this	this	DET
cana-2346	290	3	scenario	scenario	NOUN
cana-2346	290	4	,	,	PUNCT
cana-2346	290	5	all	all	DET
cana-2346	290	6	crop	crop	NOUN
cana-2346	290	7	classes	class	NOUN
cana-2346	290	8	achieved	achieve	VERB
cana-2346	290	9	a	a	DET
cana-2346	290	10	precision	precision	NOUN
cana-2346	290	11	score	score	NOUN
cana-2346	290	12	of	of	ADP
cana-2346	290	13	1	1	NUM
cana-2346	290	14	,	,	PUNCT
cana-2346	290	15	showing	show	VERB
cana-2346	290	16	there	there	PRON
cana-2346	290	17	were	be	VERB
cana-2346	290	18	no	no	DET
cana-2346	290	19	false	false	ADJ
cana-2346	290	20	positives	positive	NOUN
cana-2346	290	21	.	.	PUNCT
cana-2346	291	1	memory	memory	NOUN
cana-2346	291	2	:	:	PUNCT
cana-2346	291	3	recall	recall	PROPN
cana-2346	291	4	is	be	AUX
cana-2346	291	5	the	the	DET
cana-2346	291	6	measure	measure	NOUN
cana-2346	291	7	of	of	ADP
cana-2346	291	8	actual	actual	ADJ
cana-2346	291	9	positives	positive	NOUN
cana-2346	291	10	correctly	correctly	ADV
cana-2346	291	11	identified	identify	VERB
cana-2346	291	12	by	by	ADP
cana-2346	291	13	the	the	DET
cana-2346	291	14	model	model	NOUN
cana-2346	291	15	.	.	PUNCT
cana-2346	292	1	if	if	SCONJ
cana-2346	292	2	a	a	DET
cana-2346	292	3	crop	crop	NOUN
cana-2346	292	4	class	class	NOUN
cana-2346	292	5	has	have	VERB
cana-2346	292	6	a	a	DET
cana-2346	292	7	recall	recall	NOUN
cana-2346	292	8	score	score	NOUN
cana-2346	292	9	of	of	ADP
cana-2346	292	10	1	1	NUM
cana-2346	292	11	,	,	PUNCT
cana-2346	292	12	it	it	PRON
cana-2346	292	13	means	mean	VERB
cana-2346	292	14	that	that	SCONJ
cana-2346	292	15	every	every	DET
cana-2346	292	16	instance	instance	NOUN
cana-2346	292	17	of	of	ADP
cana-2346	292	18	that	that	DET
cana-2346	292	19	crop	crop	NOUN
cana-2346	292	20	was	be	AUX
cana-2346	292	21	accurately	accurately	ADV
cana-2346	292	22	identified	identify	VERB
cana-2346	292	23	as	as	ADP
cana-2346	292	24	belonging	belong	VERB
cana-2346	292	25	to	to	ADP
cana-2346	292	26	that	that	DET
cana-2346	292	27	class	class	NOUN
cana-2346	292	28	.	.	PUNCT
cana-2346	293	1	like	like	ADP
cana-2346	293	2	precision	precision	NOUN
cana-2346	293	3	,	,	PUNCT
cana-2346	293	4	recall	recall	PROPN
cana-2346	293	5	scores	score	NOUN
cana-2346	293	6	indicate	indicate	VERB
cana-2346	293	7	no	no	DET
cana-2346	293	8	false	false	ADJ
cana-2346	293	9	negatives	negative	NOUN
cana-2346	293	10	as	as	SCONJ
cana-2346	293	11	all	all	DET
cana-2346	293	12	crop	crop	NOUN
cana-2346	293	13	classes	class	NOUN
cana-2346	293	14	achieved	achieve	VERB
cana-2346	293	15	a	a	DET
cana-2346	293	16	score	score	NOUN
cana-2346	293	17	of	of	ADP
cana-2346	293	18	1	1	NUM
cana-2346	293	19	.	.	PUNCT
cana-2346	294	1	f1	f1	NOUN
cana-2346	294	2	-	-	PUNCT
cana-2346	294	3	score	score	NOUN
cana-2346	294	4	:	:	PUNCT
cana-2346	294	5	it	it	PRON
cana-2346	294	6	is	be	AUX
cana-2346	294	7	a	a	DET
cana-2346	294	8	combined	combine	VERB
cana-2346	294	9	metric	metric	NOUN
cana-2346	294	10	that	that	PRON
cana-2346	294	11	offers	offer	VERB
cana-2346	294	12	a	a	DET
cana-2346	294	13	single	single	ADJ
cana-2346	294	14	evaluation	evaluation	NOUN
cana-2346	294	15	of	of	ADP
cana-2346	294	16	the	the	DET
cana-2346	294	17	model	model	NOUN
cana-2346	294	18	's	's	PART
cana-2346	294	19	performance	performance	NOUN
cana-2346	294	20	for	for	ADP
cana-2346	294	21	each	each	DET
cana-2346	294	22	class	class	NOUN
cana-2346	294	23	by	by	ADP
cana-2346	294	24	calculating	calculate	VERB
cana-2346	294	25	the	the	DET
cana-2346	294	26	harmonic	harmonic	ADJ
cana-2346	294	27	mean	mean	NOUN
cana-2346	294	28	of	of	ADP
cana-2346	294	29	precision	precision	NOUN
cana-2346	294	30	and	and	CCONJ
cana-2346	294	31	recall	recall	NOUN
cana-2346	294	32	.	.	PUNCT
cana-2346	295	1	an	an	DET
cana-2346	295	2	f1	f1	NOUN
cana-2346	295	3	-	-	PUNCT
cana-2346	295	4	score	score	NOUN
cana-2346	295	5	of	of	ADP
cana-2346	295	6	1	1	NUM
cana-2346	295	7	signifies	signifie	NOUN
cana-2346	295	8	a	a	DET
cana-2346	295	9	flawless	flawless	ADJ
cana-2346	295	10	equilibrium	equilibrium	NOUN
cana-2346	295	11	between	between	ADP
cana-2346	295	12	precision	precision	NOUN
cana-2346	295	13	and	and	CCONJ
cana-2346	295	14	recall	recall	NOUN
cana-2346	295	15	.	.	PUNCT
cana-2346	296	1	in	in	ADP
cana-2346	296	2	this	this	DET
cana-2346	296	3	instance	instance	NOUN
cana-2346	296	4	,	,	PUNCT
cana-2346	296	5	achieving	achieve	VERB
cana-2346	296	6	an	an	DET
cana-2346	296	7	f1	f1	NOUN
cana-2346	296	8	-	-	PUNCT
cana-2346	296	9	score	score	NOUN
cana-2346	296	10	of	of	ADP
cana-2346	296	11	1	1	NUM
cana-2346	296	12	for	for	ADP
cana-2346	296	13	every	every	DET
cana-2346	296	14	crop	crop	NOUN
cana-2346	296	15	class	class	NOUN
cana-2346	296	16	demonstrates	demonstrate	VERB
cana-2346	296	17	exceptional	exceptional	ADJ
cana-2346	296	18	performance	performance	NOUN
cana-2346	296	19	in	in	ADP
cana-2346	296	20	terms	term	NOUN
cana-2346	296	21	of	of	ADP
cana-2346	296	22	both	both	DET
cana-2346	296	23	precision	precision	NOUN
cana-2346	296	24	and	and	CCONJ
cana-2346	296	25	recall	recall	NOUN
cana-2346	296	26	.	.	PUNCT
cana-2346	297	1	table	table	NOUN
cana-2346	297	2	4	4	NUM
cana-2346	297	3	precision	precision	NOUN
cana-2346	297	4	,	,	PUNCT
cana-2346	297	5	recall	recall	NOUN
cana-2346	297	6	,	,	PUNCT
cana-2346	297	7	f1	f1	NOUN
cana-2346	297	8	score	score	NOUN
cana-2346	297	9	and	and	CCONJ
cana-2346	297	10	support	support	NOUN
cana-2346	297	11	data	datum	NOUN
cana-2346	297	12	of	of	ADP
cana-2346	297	13	xg	xg	PROPN
cana-2346	297	14	boost	boost	PROPN
cana-2346	297	15	model	model	NOUN
cana-2346	297	16	precision	precision	NOUN
cana-2346	297	17	recall	recall	NOUN
cana-2346	297	18	f1	f1	NOUN
cana-2346	297	19	-	-	PUNCT
cana-2346	297	20	score	score	NOUN
cana-2346	297	21	support	support	NOUN
cana-2346	297	22	apple	apple	NOUN
cana-2346	297	23	1	1	NUM
cana-2346	297	24	1	1	NUM
cana-2346	297	25	1	1	NUM
cana-2346	297	26	24	24	NUM
cana-2346	297	27	banana	banana	NOUN
cana-2346	297	28	1	1	NUM
cana-2346	297	29	1	1	NUM
cana-2346	297	30	1	1	NUM
cana-2346	297	31	15	15	NUM
cana-2346	297	32	blackgram	blackgram	NOUN
cana-2346	297	33	1	1	NUM
cana-2346	297	34	1	1	NUM
cana-2346	297	35	1	1	NUM
cana-2346	297	36	22	22	NUM
cana-2346	297	37	chickpea	chickpea	NOUN
cana-2346	297	38	1	1	NUM
cana-2346	297	39	1	1	NUM
cana-2346	297	40	1	1	NUM
cana-2346	297	41	19	19	NUM
cana-2346	297	42	coconut	coconut	NOUN
cana-2346	297	43	1	1	NUM
cana-2346	297	44	1	1	NUM
cana-2346	297	45	1	1	NUM
cana-2346	297	46	20	20	NUM
cana-2346	297	47	coffee	coffee	NOUN
cana-2346	297	48	1	1	NUM
cana-2346	297	49	1	1	NUM
cana-2346	297	50	1	1	NUM
cana-2346	297	51	25	25	NUM
cana-2346	297	52	cotton	cotton	NOUN
cana-2346	297	53	0.93	0.93	NUM
cana-2346	297	54	1	1	NUM
cana-2346	297	55	0.96	0.96	NUM
cana-2346	297	56	13	13	NUM
cana-2346	297	57	grapes	grape	NOUN
cana-2346	297	58	1	1	NUM
cana-2346	297	59	1	1	NUM
cana-2346	297	60	1	1	NUM
cana-2346	297	61	17	17	NUM
cana-2346	297	62	jute	jute	NOUN
cana-2346	297	63	1	1	NUM
cana-2346	297	64	1	1	NUM
cana-2346	297	65	1	1	NUM
cana-2346	297	66	15	15	NUM
cana-2346	297	67	kidneybeans	kidneybean	NOUN
cana-2346	297	68	1	1	NUM
cana-2346	297	69	1	1	NUM
cana-2346	297	70	1	1	NUM
cana-2346	297	71	16	16	NUM
cana-2346	297	72	lentil	lentil	NOUN
cana-2346	297	73	1	1	NUM
cana-2346	297	74	1	1	NUM
cana-2346	297	75	1	1	NUM
cana-2346	297	76	18	18	NUM
cana-2346	297	77	maize	maize	NOUN
cana-2346	297	78	1	1	NUM
cana-2346	297	79	0.96	0.96	NUM
cana-2346	297	80	0.98	0.98	NUM
cana-2346	297	81	27	27	NUM
cana-2346	297	82	mango	mango	NOUN
cana-2346	297	83	1	1	NUM
cana-2346	297	84	1	1	NUM
cana-2346	297	85	1	1	NUM
cana-2346	297	86	18	18	NUM
cana-2346	297	87	mothbeans	mothbean	NOUN
cana-2346	297	88	1	1	NUM
cana-2346	297	89	1	1	NUM
cana-2346	297	90	1	1	NUM
cana-2346	297	91	22	22	NUM
cana-2346	297	92	mungbean	mungbean	NOUN
cana-2346	297	93	1	1	NUM
cana-2346	297	94	1	1	NUM
cana-2346	297	95	1	1	NUM
cana-2346	297	96	19	19	NUM
cana-2346	297	97	muskmelon	muskmelon	NOUN
cana-2346	297	98	1	1	NUM
cana-2346	297	99	1	1	NUM
cana-2346	297	100	1	1	NUM
cana-2346	297	101	24	24	NUM
cana-2346	297	102	orange	orange	NOUN
cana-2346	297	103	1	1	NUM
cana-2346	297	104	1	1	NUM
cana-2346	297	105	1	1	NUM
cana-2346	297	106	23	23	NUM
cana-2346	297	107	papaya	papaya	NOUN
cana-2346	297	108	1	1	NUM
cana-2346	297	109	1	1	NUM
cana-2346	297	110	1	1	NUM
cana-2346	297	111	20	20	NUM
cana-2346	297	112	pigeonpeas	pigeonpea	NOUN
cana-2346	297	113	1	1	NUM
cana-2346	297	114	1	1	NUM
cana-2346	297	115	1	1	NUM
cana-2346	297	116	24	24	NUM
cana-2346	297	117	pomegranate	pomegranate	NOUN
cana-2346	297	118	1	1	NUM
cana-2346	297	119	1	1	NUM
cana-2346	297	120	1	1	NUM
cana-2346	297	121	17	17	NUM
cana-2346	297	122	rice	rice	NOUN
cana-2346	297	123	1	1	NUM
cana-2346	297	124	1	1	NUM
cana-2346	297	125	1	1	NUM
cana-2346	297	126	15	15	NUM
cana-2346	297	127	watermelon	watermelon	NOUN
cana-2346	297	128	1	1	NUM
cana-2346	297	129	1	1	NUM
cana-2346	297	130	1	1	NUM
cana-2346	297	131	27	27	NUM
cana-2346	297	132	communications	communication	NOUN
cana-2346	297	133	on	on	ADP
cana-2346	297	134	applied	apply	VERB
cana-2346	297	135	nonlinear	nonlinear	ADJ
cana-2346	297	136	analysis	analysis	NOUN
cana-2346	297	137	issn	issn	NOUN
cana-2346	297	138	:	:	PUNCT
cana-2346	297	139	1074	1074	NUM
cana-2346	297	140	-	-	PUNCT
cana-2346	297	141	133x	133x	NUM
cana-2346	297	142	vol	vol	NOUN
cana-2346	297	143	32	32	NUM
cana-2346	297	144	no	no	NOUN
cana-2346	297	145	.	.	PUNCT
cana-2346	298	1	1s	1s	NUM
cana-2346	298	2	(	(	PUNCT
cana-2346	298	3	2025	2025	NUM
cana-2346	298	4	)	)	PUNCT
cana-2346	298	5	603	603	NUM
cana-2346	299	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	299	2	figure	figure	NOUN
cana-2346	299	3	12	12	NUM
cana-2346	299	4	xg	xg	NOUN
cana-2346	299	5	boost	boost	PROPN
cana-2346	299	6	model	model	PROPN
cana-2346	299	7	’s	’s	PART
cana-2346	299	8	precision	precision	NOUN
cana-2346	299	9	,	,	PUNCT
cana-2346	299	10	recall	recall	NOUN
cana-2346	299	11	and	and	CCONJ
cana-2346	299	12	f1	f1	ADJ
cana-2346	299	13	-	-	PUNCT
cana-2346	299	14	score	score	NOUN
cana-2346	299	15	figure	figure	NOUN
cana-2346	299	16	13	13	NUM
cana-2346	299	17	shows	show	VERB
cana-2346	299	18	the	the	DET
cana-2346	299	19	confusion	confusion	NOUN
cana-2346	299	20	matrix	matrix	NOUN
cana-2346	299	21	of	of	ADP
cana-2346	299	22	the	the	DET
cana-2346	299	23	training	training	NOUN
cana-2346	299	24	data	datum	NOUN
cana-2346	299	25	for	for	ADP
cana-2346	299	26	the	the	DET
cana-2346	299	27	xg	xg	PROPN
cana-2346	299	28	boost	boost	PROPN
cana-2346	299	29	model	model	PROPN
cana-2346	299	30	.	.	PUNCT
cana-2346	300	1	based	base	VERB
cana-2346	300	2	on	on	ADP
cana-2346	300	3	figure	figure	NOUN
cana-2346	300	4	13	13	NUM
cana-2346	300	5	,	,	PUNCT
cana-2346	300	6	the	the	DET
cana-2346	300	7	findings	finding	NOUN
cana-2346	300	8	indicate	indicate	VERB
cana-2346	300	9	that	that	SCONJ
cana-2346	300	10	the	the	DET
cana-2346	300	11	model	model	NOUN
cana-2346	300	12	reached	reach	VERB
cana-2346	300	13	flawless	flawless	ADJ
cana-2346	300	14	accuracy	accuracy	NOUN
cana-2346	300	15	and	and	CCONJ
cana-2346	300	16	excelled	excel	VERB
cana-2346	300	17	in	in	ADP
cana-2346	300	18	categorizing	categorize	VERB
cana-2346	300	19	crop	crop	NOUN
cana-2346	300	20	types	type	NOUN
cana-2346	300	21	using	use	VERB
cana-2346	300	22	the	the	DET
cana-2346	300	23	provided	provide	VERB
cana-2346	300	24	features	feature	NOUN
cana-2346	300	25	,	,	PUNCT
cana-2346	300	26	with	with	ADP
cana-2346	300	27	no	no	DET
cana-2346	300	28	instances	instance	NOUN
cana-2346	300	29	of	of	ADP
cana-2346	300	30	misclassification	misclassification	NOUN
cana-2346	300	31	detected	detect	VERB
cana-2346	300	32	in	in	ADP
cana-2346	300	33	the	the	DET
cana-2346	300	34	data	datum	NOUN
cana-2346	300	35	set	set	VERB
cana-2346	300	36	.	.	PUNCT
cana-2346	301	1	figure	figure	VERB
cana-2346	301	2	13	13	NUM
cana-2346	301	3	confusion	confusion	NOUN
cana-2346	301	4	matrix	matrix	NOUN
cana-2346	301	5	for	for	ADP
cana-2346	301	6	xg	xg	PROPN
cana-2346	301	7	boost	boost	PROPN
cana-2346	301	8	model	model	NOUN
cana-2346	301	9	the	the	DET
cana-2346	301	10	comparison	comparison	NOUN
cana-2346	301	11	of	of	ADP
cana-2346	301	12	accuracies	accuracy	NOUN
cana-2346	301	13	in	in	ADP
cana-2346	301	14	figure	figure	NOUN
cana-2346	301	15	14	14	NUM
cana-2346	301	16	's	's	PART
cana-2346	301	17	plot	plot	NOUN
cana-2346	301	18	offers	offer	VERB
cana-2346	301	19	insightful	insightful	ADJ
cana-2346	301	20	findings	finding	NOUN
cana-2346	301	21	.	.	PUNCT
cana-2346	302	1	after	after	ADP
cana-2346	302	2	carefully	carefully	ADV
cana-2346	302	3	analyzing	analyze	VERB
cana-2346	302	4	figure	figure	NOUN
cana-2346	302	5	14	14	NUM
cana-2346	302	6	,	,	PUNCT
cana-2346	302	7	it	it	PRON
cana-2346	302	8	is	be	AUX
cana-2346	302	9	evident	evident	ADJ
cana-2346	302	10	that	that	SCONJ
cana-2346	302	11	both	both	CCONJ
cana-2346	302	12	the	the	DET
cana-2346	302	13	gradient	gradient	ADJ
cana-2346	302	14	boost	boost	NOUN
cana-2346	302	15	and	and	CCONJ
cana-2346	302	16	xg	xg	NOUN
cana-2346	302	17	boost	boost	NOUN
cana-2346	302	18	models	model	NOUN
cana-2346	302	19	have	have	AUX
cana-2346	302	20	shown	show	VERB
cana-2346	302	21	excellent	excellent	ADJ
cana-2346	302	22	performance	performance	NOUN
cana-2346	302	23	on	on	ADP
cana-2346	302	24	this	this	DET
cana-2346	302	25	dataset	dataset	NOUN
cana-2346	302	26	.	.	PUNCT
cana-2346	303	1	their	their	PRON
cana-2346	303	2	impressive	impressive	ADJ
cana-2346	303	3	display	display	NOUN
cana-2346	303	4	indicates	indicate	VERB
cana-2346	303	5	that	that	SCONJ
cana-2346	303	6	they	they	PRON
cana-2346	303	7	are	be	AUX
cana-2346	303	8	especially	especially	ADV
cana-2346	303	9	suitable	suitable	ADJ
cana-2346	303	10	for	for	ADP
cana-2346	303	11	the	the	DET
cana-2346	303	12	traits	trait	NOUN
cana-2346	303	13	and	and	CCONJ
cana-2346	303	14	intricacies	intricacy	NOUN
cana-2346	303	15	found	find	VERB
cana-2346	303	16	in	in	ADP
cana-2346	303	17	this	this	DET
cana-2346	303	18	particular	particular	ADJ
cana-2346	303	19	dataset	dataset	NOUN
cana-2346	303	20	.	.	PUNCT
cana-2346	304	1	this	this	DET
cana-2346	304	2	highlights	highlight	NOUN
cana-2346	304	3	how	how	SCONJ
cana-2346	304	4	well	well	ADV
cana-2346	304	5	these	these	DET
cana-2346	304	6	models	model	NOUN
cana-2346	304	7	can	can	AUX
cana-2346	304	8	capture	capture	VERB
cana-2346	304	9	the	the	DET
cana-2346	304	10	underlying	underlie	VERB
cana-2346	304	11	patterns	pattern	NOUN
cana-2346	304	12	and	and	CCONJ
cana-2346	304	13	nuances	nuance	NOUN
cana-2346	304	14	of	of	ADP
cana-2346	304	15	the	the	DET
cana-2346	304	16	data	datum	NOUN
cana-2346	304	17	,	,	PUNCT
cana-2346	304	18	potentially	potentially	ADV
cana-2346	304	19	making	make	VERB
cana-2346	304	20	them	they	PRON
cana-2346	304	21	ideal	ideal	ADJ
cana-2346	304	22	selections	selection	NOUN
cana-2346	304	23	for	for	ADP
cana-2346	304	24	predictive	predictive	ADJ
cana-2346	304	25	modeling	modeling	NOUN
cana-2346	304	26	tasks	task	NOUN
cana-2346	304	27	in	in	ADP
cana-2346	304	28	similar	similar	ADJ
cana-2346	304	29	situations	situation	NOUN
cana-2346	304	30	.	.	PUNCT
cana-2346	305	1	communications	communication	NOUN
cana-2346	305	2	on	on	ADP
cana-2346	305	3	applied	apply	VERB
cana-2346	305	4	nonlinear	nonlinear	ADJ
cana-2346	305	5	analysis	analysis	NOUN
cana-2346	305	6	issn	issn	NOUN
cana-2346	305	7	:	:	PUNCT
cana-2346	305	8	1074	1074	NUM
cana-2346	305	9	-	-	PUNCT
cana-2346	305	10	133x	133x	NUM
cana-2346	305	11	vol	vol	NOUN
cana-2346	305	12	32	32	NUM
cana-2346	305	13	no	no	NOUN
cana-2346	305	14	.	.	PUNCT
cana-2346	306	1	1s	1s	NUM
cana-2346	306	2	(	(	PUNCT
cana-2346	306	3	2025	2025	NUM
cana-2346	306	4	)	)	PUNCT
cana-2346	306	5	604	604	NUM
cana-2346	306	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	306	7	figure	figure	NOUN
cana-2346	306	8	14	14	NUM
cana-2346	306	9	accuracy	accuracy	NOUN
cana-2346	306	10	comparisons	comparison	NOUN
cana-2346	306	11	of	of	ADP
cana-2346	306	12	the	the	DET
cana-2346	306	13	models	model	NOUN
cana-2346	306	14	.	.	PUNCT
cana-2346	307	1	table	table	NOUN
cana-2346	307	2	5	5	NUM
cana-2346	307	3	shows	show	VERB
cana-2346	307	4	the	the	DET
cana-2346	307	5	precision	precision	NOUN
cana-2346	307	6	,	,	PUNCT
cana-2346	307	7	recall	recall	NOUN
cana-2346	307	8	,	,	PUNCT
cana-2346	307	9	and	and	CCONJ
cana-2346	307	10	f1	f1	ADJ
cana-2346	307	11	-	-	PUNCT
cana-2346	307	12	score	score	NOUN
cana-2346	307	13	numbers	number	NOUN
cana-2346	307	14	for	for	ADP
cana-2346	307	15	different	different	ADJ
cana-2346	307	16	models	model	NOUN
cana-2346	307	17	(	(	PUNCT
cana-2346	307	18	lr	lr	NOUN
cana-2346	307	19	,	,	PUNCT
cana-2346	307	20	rf	rf	ADJ
cana-2346	307	21	,	,	PUNCT
cana-2346	307	22	gb	gb	PRON
cana-2346	307	23	,	,	PUNCT
cana-2346	307	24	xgb	xgb	NUM
cana-2346	307	25	)	)	PUNCT
cana-2346	307	26	on	on	ADP
cana-2346	307	27	different	different	ADJ
cana-2346	307	28	classes	class	NOUN
cana-2346	307	29	.	.	PUNCT
cana-2346	308	1	using	use	VERB
cana-2346	308	2	the	the	DET
cana-2346	308	3	information	information	NOUN
cana-2346	308	4	in	in	ADP
cana-2346	308	5	table	table	NOUN
cana-2346	308	6	5	5	NUM
cana-2346	308	7	,	,	PUNCT
cana-2346	308	8	distinct	distinct	ADJ
cana-2346	308	9	graphs	graph	NOUN
cana-2346	308	10	for	for	ADP
cana-2346	308	11	precision	precision	NOUN
cana-2346	308	12	,	,	PUNCT
cana-2346	308	13	recall	recall	NOUN
cana-2346	308	14	,	,	PUNCT
cana-2346	308	15	and	and	CCONJ
cana-2346	308	16	f1	f1	NOUN
cana-2346	308	17	score	score	NOUN
cana-2346	308	18	were	be	AUX
cana-2346	308	19	created	create	VERB
cana-2346	308	20	and	and	CCONJ
cana-2346	308	21	are	be	AUX
cana-2346	308	22	illustrated	illustrate	VERB
cana-2346	308	23	in	in	ADP
cana-2346	308	24	figures	figure	NOUN
cana-2346	308	25	15	15	NUM
cana-2346	308	26	,	,	PUNCT
cana-2346	308	27	16	16	NUM
cana-2346	308	28	,	,	PUNCT
cana-2346	308	29	and	and	CCONJ
cana-2346	308	30	17	17	NUM
cana-2346	308	31	accordingly	accordingly	ADV
cana-2346	308	32	.	.	PUNCT
cana-2346	309	1	after	after	ADP
cana-2346	309	2	analyzing	analyze	VERB
cana-2346	309	3	table	table	NOUN
cana-2346	309	4	5	5	NUM
cana-2346	309	5	alongside	alongside	ADP
cana-2346	309	6	figures	figure	NOUN
cana-2346	309	7	15	15	NUM
cana-2346	309	8	,	,	PUNCT
cana-2346	309	9	16	16	NUM
cana-2346	309	10	,	,	PUNCT
cana-2346	309	11	and	and	CCONJ
cana-2346	309	12	17	17	NUM
cana-2346	309	13	,	,	PUNCT
cana-2346	309	14	certain	certain	ADJ
cana-2346	309	15	observations	observation	NOUN
cana-2346	309	16	can	can	AUX
cana-2346	309	17	be	be	AUX
cana-2346	309	18	noted	note	VERB
cana-2346	309	19	.	.	PUNCT
cana-2346	310	1	regrettably	regrettably	ADV
cana-2346	310	2	,	,	PUNCT
cana-2346	310	3	the	the	DET
cana-2346	310	4	table	table	NOUN
cana-2346	310	5	does	do	AUX
cana-2346	310	6	not	not	PART
cana-2346	310	7	have	have	VERB
cana-2346	310	8	accuracy	accuracy	NOUN
cana-2346	310	9	values	value	NOUN
cana-2346	310	10	,	,	PUNCT
cana-2346	310	11	which	which	PRON
cana-2346	310	12	would	would	AUX
cana-2346	310	13	have	have	AUX
cana-2346	310	14	given	give	VERB
cana-2346	310	15	a	a	DET
cana-2346	310	16	complete	complete	ADJ
cana-2346	310	17	picture	picture	NOUN
cana-2346	310	18	of	of	ADP
cana-2346	310	19	how	how	SCONJ
cana-2346	310	20	well	well	ADV
cana-2346	310	21	each	each	DET
cana-2346	310	22	model	model	NOUN
cana-2346	310	23	performed	perform	VERB
cana-2346	310	24	in	in	ADP
cana-2346	310	25	accurately	accurately	ADV
cana-2346	310	26	classifying	classify	VERB
cana-2346	310	27	instances	instance	NOUN
cana-2346	310	28	in	in	ADP
cana-2346	310	29	all	all	DET
cana-2346	310	30	categories	category	NOUN
cana-2346	310	31	.	.	PUNCT
cana-2346	311	1	nevertheless	nevertheless	ADV
cana-2346	311	2	,	,	PUNCT
cana-2346	311	3	we	we	PRON
cana-2346	311	4	are	be	AUX
cana-2346	311	5	still	still	ADV
cana-2346	311	6	able	able	ADJ
cana-2346	311	7	to	to	PART
cana-2346	311	8	assess	assess	VERB
cana-2346	311	9	models	model	NOUN
cana-2346	311	10	by	by	ADP
cana-2346	311	11	looking	look	VERB
cana-2346	311	12	at	at	ADP
cana-2346	311	13	their	their	PRON
cana-2346	311	14	precision	precision	NOUN
cana-2346	311	15	,	,	PUNCT
cana-2346	311	16	recall	recall	NOUN
cana-2346	311	17	,	,	PUNCT
cana-2346	311	18	and	and	CCONJ
cana-2346	311	19	f1	f1	NOUN
cana-2346	311	20	-	-	PUNCT
cana-2346	311	21	score	score	NOUN
cana-2346	311	22	,	,	PUNCT
cana-2346	311	23	which	which	PRON
cana-2346	311	24	offer	offer	VERB
cana-2346	311	25	valuable	valuable	ADJ
cana-2346	311	26	information	information	NOUN
cana-2346	311	27	about	about	ADP
cana-2346	311	28	their	their	PRON
cana-2346	311	29	performance	performance	NOUN
cana-2346	311	30	for	for	ADP
cana-2346	311	31	individual	individual	ADJ
cana-2346	311	32	classes	class	NOUN
cana-2346	311	33	.	.	PUNCT
cana-2346	312	1	precision	precision	NOUN
cana-2346	312	2	is	be	AUX
cana-2346	312	3	the	the	DET
cana-2346	312	4	ratio	ratio	NOUN
cana-2346	312	5	of	of	ADP
cana-2346	312	6	correct	correct	ADJ
cana-2346	312	7	positive	positive	ADJ
cana-2346	312	8	predictions	prediction	NOUN
cana-2346	312	9	to	to	ADP
cana-2346	312	10	all	all	DET
cana-2346	312	11	positive	positive	ADJ
cana-2346	312	12	predictions	prediction	NOUN
cana-2346	312	13	generated	generate	VERB
cana-2346	312	14	by	by	ADP
cana-2346	312	15	the	the	DET
cana-2346	312	16	model	model	NOUN
cana-2346	312	17	.	.	PUNCT
cana-2346	313	1	greater	great	ADJ
cana-2346	313	2	accuracy	accuracy	NOUN
cana-2346	313	3	signifies	signify	VERB
cana-2346	313	4	a	a	DET
cana-2346	313	5	lower	low	ADJ
cana-2346	313	6	number	number	NOUN
cana-2346	313	7	of	of	ADP
cana-2346	313	8	incorrect	incorrect	ADJ
cana-2346	313	9	detections	detection	NOUN
cana-2346	313	10	.	.	PUNCT
cana-2346	314	1	by	by	ADP
cana-2346	314	2	examining	examine	VERB
cana-2346	314	3	the	the	DET
cana-2346	314	4	precision	precision	NOUN
cana-2346	314	5	scores	score	NOUN
cana-2346	314	6	for	for	ADP
cana-2346	314	7	each	each	DET
cana-2346	314	8	model	model	NOUN
cana-2346	314	9	in	in	ADP
cana-2346	314	10	various	various	ADJ
cana-2346	314	11	classes	class	NOUN
cana-2346	314	12	,	,	PUNCT
cana-2346	314	13	we	we	PRON
cana-2346	314	14	can	can	AUX
cana-2346	314	15	determine	determine	VERB
cana-2346	314	16	which	which	DET
cana-2346	314	17	model	model	NOUN
cana-2346	314	18	has	have	VERB
cana-2346	314	19	the	the	DET
cana-2346	314	20	highest	high	ADJ
cana-2346	314	21	precision	precision	NOUN
cana-2346	314	22	overall	overall	ADJ
cana-2346	314	23	or	or	CCONJ
cana-2346	314	24	for	for	ADP
cana-2346	314	25	particular	particular	ADJ
cana-2346	314	26	classes	class	NOUN
cana-2346	314	27	.	.	PUNCT
cana-2346	315	1	recall	recall	NOUN
cana-2346	315	2	,	,	PUNCT
cana-2346	315	3	or	or	CCONJ
cana-2346	315	4	sensitivity	sensitivity	NOUN
cana-2346	315	5	,	,	PUNCT
cana-2346	315	6	calculates	calculate	VERB
cana-2346	315	7	the	the	DET
cana-2346	315	8	percentage	percentage	NOUN
cana-2346	315	9	of	of	ADP
cana-2346	315	10	actual	actual	ADJ
cana-2346	315	11	positives	positive	NOUN
cana-2346	315	12	correctly	correctly	ADV
cana-2346	315	13	recognized	recognize	VERB
cana-2346	315	14	by	by	ADP
cana-2346	315	15	the	the	DET
cana-2346	315	16	model	model	NOUN
cana-2346	315	17	out	out	ADP
cana-2346	315	18	of	of	ADP
cana-2346	315	19	all	all	DET
cana-2346	315	20	true	true	ADJ
cana-2346	315	21	positives	positive	NOUN
cana-2346	315	22	.	.	PUNCT
cana-2346	316	1	a	a	DET
cana-2346	316	2	higher	high	ADJ
cana-2346	316	3	recall	recall	NOUN
cana-2346	316	4	means	mean	VERB
cana-2346	316	5	there	there	PRON
cana-2346	316	6	are	be	VERB
cana-2346	316	7	less	less	ADV
cana-2346	316	8	false	false	ADJ
cana-2346	316	9	negatives	negative	NOUN
cana-2346	316	10	present	present	ADJ
cana-2346	316	11	.	.	PUNCT
cana-2346	317	1	comparing	compare	VERB
cana-2346	317	2	the	the	DET
cana-2346	317	3	recall	recall	NOUN
cana-2346	317	4	values	value	NOUN
cana-2346	317	5	of	of	ADP
cana-2346	317	6	different	different	ADJ
cana-2346	317	7	models	model	NOUN
cana-2346	317	8	can	can	AUX
cana-2346	317	9	assist	assist	VERB
cana-2346	317	10	in	in	ADP
cana-2346	317	11	determining	determine	VERB
cana-2346	317	12	which	which	DET
cana-2346	317	13	model	model	NOUN
cana-2346	317	14	is	be	AUX
cana-2346	317	15	more	more	ADV
cana-2346	317	16	successful	successful	ADJ
cana-2346	317	17	in	in	ADP
cana-2346	317	18	capturing	capture	VERB
cana-2346	317	19	every	every	DET
cana-2346	317	20	example	example	NOUN
cana-2346	317	21	of	of	ADP
cana-2346	317	22	a	a	DET
cana-2346	317	23	specific	specific	ADJ
cana-2346	317	24	class	class	NOUN
cana-2346	317	25	.	.	PUNCT
cana-2346	318	1	f1	f1	NOUN
cana-2346	318	2	-	-	PUNCT
cana-2346	318	3	score	score	NOUN
cana-2346	318	4	:	:	PUNCT
cana-2346	318	5	combining	combine	VERB
cana-2346	318	6	precision	precision	NOUN
cana-2346	318	7	and	and	CCONJ
cana-2346	318	8	recall	recall	NOUN
cana-2346	318	9	in	in	ADP
cana-2346	318	10	a	a	DET
cana-2346	318	11	single	single	ADJ
cana-2346	318	12	metric	metric	NOUN
cana-2346	318	13	,	,	PUNCT
cana-2346	318	14	the	the	DET
cana-2346	318	15	f1	f1	NOUN
cana-2346	318	16	-	-	PUNCT
cana-2346	318	17	score	score	NOUN
cana-2346	318	18	is	be	AUX
cana-2346	318	19	the	the	DET
cana-2346	318	20	harmonic	harmonic	ADJ
cana-2346	318	21	mean	mean	NOUN
cana-2346	318	22	that	that	SCONJ
cana-2346	318	23	balances	balance	VERB
cana-2346	318	24	both	both	DET
cana-2346	318	25	metrics	metric	NOUN
cana-2346	318	26	.	.	PUNCT
cana-2346	319	1	it	it	PRON
cana-2346	319	2	provides	provide	VERB
cana-2346	319	3	a	a	DET
cana-2346	319	4	thorough	thorough	ADJ
cana-2346	319	5	evaluation	evaluation	NOUN
cana-2346	319	6	of	of	ADP
cana-2346	319	7	how	how	SCONJ
cana-2346	319	8	a	a	DET
cana-2346	319	9	model	model	NOUN
cana-2346	319	10	performs	perform	VERB
cana-2346	319	11	,	,	PUNCT
cana-2346	319	12	particularly	particularly	ADV
cana-2346	319	13	in	in	ADP
cana-2346	319	14	cases	case	NOUN
cana-2346	319	15	with	with	ADP
cana-2346	319	16	class	class	NOUN
cana-2346	319	17	imbalance	imbalance	NOUN
cana-2346	319	18	or	or	CCONJ
cana-2346	319	19	when	when	SCONJ
cana-2346	319	20	both	both	DET
cana-2346	319	21	precision	precision	NOUN
cana-2346	319	22	and	and	CCONJ
cana-2346	319	23	recall	recall	NOUN
cana-2346	319	24	carry	carry	VERB
cana-2346	319	25	equal	equal	ADJ
cana-2346	319	26	weight	weight	NOUN
cana-2346	319	27	.	.	PUNCT
cana-2346	320	1	in	in	ADP
cana-2346	320	2	order	order	NOUN
cana-2346	320	3	to	to	PART
cana-2346	320	4	effectively	effectively	ADV
cana-2346	320	5	compare	compare	VERB
cana-2346	320	6	models	model	NOUN
cana-2346	320	7	:	:	PUNCT
cana-2346	320	8	search	search	NOUN
cana-2346	320	9	for	for	ADP
cana-2346	320	10	reliability	reliability	NOUN
cana-2346	320	11	:	:	PUNCT
cana-2346	320	12	determine	determine	VERB
cana-2346	320	13	if	if	SCONJ
cana-2346	320	14	a	a	DET
cana-2346	320	15	specific	specific	ADJ
cana-2346	320	16	model	model	NOUN
cana-2346	320	17	consistently	consistently	ADV
cana-2346	320	18	performs	perform	VERB
cana-2346	320	19	better	well	ADJ
cana-2346	320	20	than	than	ADP
cana-2346	320	21	others	other	NOUN
cana-2346	320	22	in	in	ADP
cana-2346	320	23	various	various	ADJ
cana-2346	320	24	categories	category	NOUN
cana-2346	320	25	.	.	PUNCT
cana-2346	321	1	class	class	NOUN
cana-2346	321	2	-	-	PUNCT
cana-2346	321	3	specific	specific	ADJ
cana-2346	321	4	performance	performance	NOUN
cana-2346	321	5	:	:	PUNCT
cana-2346	321	6	evaluate	evaluate	VERB
cana-2346	321	7	whether	whether	SCONJ
cana-2346	321	8	there	there	PRON
cana-2346	321	9	are	be	VERB
cana-2346	321	10	certain	certain	ADJ
cana-2346	321	11	categories	category	NOUN
cana-2346	321	12	where	where	SCONJ
cana-2346	321	13	a	a	DET
cana-2346	321	14	model	model	NOUN
cana-2346	321	15	shows	show	VERB
cana-2346	321	16	significantly	significantly	ADV
cana-2346	321	17	different	different	ADJ
cana-2346	321	18	levels	level	NOUN
cana-2346	321	19	of	of	ADP
cana-2346	321	20	effectiveness	effectiveness	NOUN
cana-2346	321	21	compared	compare	VERB
cana-2346	321	22	to	to	ADP
cana-2346	321	23	others	other	NOUN
cana-2346	321	24	.	.	PUNCT
cana-2346	322	1	overall	overall	ADJ
cana-2346	322	2	performance	performance	NOUN
cana-2346	322	3	:	:	PUNCT
cana-2346	322	4	evaluate	evaluate	VERB
cana-2346	322	5	the	the	DET
cana-2346	322	6	overall	overall	ADJ
cana-2346	322	7	performance	performance	NOUN
cana-2346	322	8	of	of	ADP
cana-2346	322	9	all	all	DET
cana-2346	322	10	classes	class	NOUN
cana-2346	322	11	to	to	PART
cana-2346	322	12	determine	determine	VERB
cana-2346	322	13	the	the	DET
cana-2346	322	14	model	model	NOUN
cana-2346	322	15	with	with	ADP
cana-2346	322	16	the	the	DET
cana-2346	322	17	highest	high	ADJ
cana-2346	322	18	average	average	ADJ
cana-2346	322	19	performance	performance	NOUN
cana-2346	322	20	.	.	PUNCT
cana-2346	323	1	it	it	PRON
cana-2346	323	2	is	be	AUX
cana-2346	323	3	difficult	difficult	ADJ
cana-2346	323	4	to	to	PART
cana-2346	323	5	make	make	VERB
cana-2346	323	6	a	a	DET
cana-2346	323	7	thorough	thorough	ADJ
cana-2346	323	8	comparison	comparison	NOUN
cana-2346	323	9	without	without	ADP
cana-2346	323	10	specific	specific	ADJ
cana-2346	323	11	values	value	NOUN
cana-2346	323	12	in	in	ADP
cana-2346	323	13	the	the	DET
cana-2346	323	14	table	table	NOUN
cana-2346	323	15	.	.	PUNCT
cana-2346	324	1	nevertheless	nevertheless	ADV
cana-2346	324	2	,	,	PUNCT
cana-2346	324	3	relying	rely	VERB
cana-2346	324	4	on	on	ADP
cana-2346	324	5	the	the	DET
cana-2346	324	6	details	detail	NOUN
cana-2346	324	7	provided	provide	VERB
cana-2346	324	8	,	,	PUNCT
cana-2346	324	9	you	you	PRON
cana-2346	324	10	can	can	AUX
cana-2346	324	11	evaluate	evaluate	VERB
cana-2346	324	12	the	the	DET
cana-2346	324	13	models	model	NOUN
cana-2346	324	14	in	in	ADP
cana-2346	324	15	terms	term	NOUN
cana-2346	324	16	of	of	ADP
cana-2346	324	17	precision	precision	NOUN
cana-2346	324	18	,	,	PUNCT
cana-2346	324	19	recall	recall	NOUN
cana-2346	324	20	,	,	PUNCT
cana-2346	324	21	and	and	CCONJ
cana-2346	324	22	f1	f1	NOUN
cana-2346	324	23	-	-	PUNCT
cana-2346	324	24	score	score	NOUN
cana-2346	324	25	to	to	PART
cana-2346	324	26	ascertain	ascertain	VERB
cana-2346	324	27	the	the	DET
cana-2346	324	28	most	most	ADV
cana-2346	324	29	effective	effective	ADJ
cana-2346	324	30	one	one	NUM
cana-2346	324	31	for	for	ADP
cana-2346	324	32	your	your	PRON
cana-2346	324	33	particular	particular	ADJ
cana-2346	324	34	task	task	NOUN
cana-2346	324	35	and	and	CCONJ
cana-2346	324	36	dataset	dataset	NOUN
cana-2346	324	37	.	.	PUNCT
cana-2346	325	1	communications	communication	NOUN
cana-2346	325	2	on	on	ADP
cana-2346	325	3	applied	apply	VERB
cana-2346	325	4	nonlinear	nonlinear	ADJ
cana-2346	325	5	analysis	analysis	NOUN
cana-2346	325	6	issn	issn	NOUN
cana-2346	325	7	:	:	PUNCT
cana-2346	325	8	1074	1074	NUM
cana-2346	325	9	-	-	PUNCT
cana-2346	325	10	133x	133x	NUM
cana-2346	325	11	vol	vol	NOUN
cana-2346	325	12	32	32	NUM
cana-2346	325	13	no	no	NOUN
cana-2346	325	14	.	.	PUNCT
cana-2346	326	1	1s	1s	NUM
cana-2346	326	2	(	(	PUNCT
cana-2346	326	3	2025	2025	NUM
cana-2346	326	4	)	)	PUNCT
cana-2346	327	1	605	605	NUM
cana-2346	328	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	328	2	table	table	NOUN
cana-2346	328	3	5	5	NUM
cana-2346	328	4	precision	precision	NOUN
cana-2346	328	5	,	,	PUNCT
cana-2346	328	6	recall	recall	NOUN
cana-2346	328	7	,	,	PUNCT
cana-2346	328	8	and	and	CCONJ
cana-2346	328	9	f1	f1	ADJ
cana-2346	328	10	-	-	PUNCT
cana-2346	328	11	score	score	NOUN
cana-2346	328	12	values	value	NOUN
cana-2346	328	13	for	for	ADP
cana-2346	328	14	multiple	multiple	ADJ
cana-2346	328	15	models	model	NOUN
cana-2346	328	16	(	(	PUNCT
cana-2346	328	17	lr	lr	NOUN
cana-2346	328	18	,	,	PUNCT
cana-2346	328	19	rf	rf	ADJ
cana-2346	328	20	,	,	PUNCT
cana-2346	328	21	gb	gb	PRON
cana-2346	328	22	,	,	PUNCT
cana-2346	328	23	xgb	xgb	NUM
cana-2346	328	24	)	)	PUNCT
cana-2346	328	25	precision	precision	NOUN
cana-2346	328	26	recall	recall	NOUN
cana-2346	328	27	f1	f1	NOUN
cana-2346	328	28	-	-	PUNCT
cana-2346	328	29	score	score	NOUN
cana-2346	328	30	lr	lr	NOUN
cana-2346	328	31	rf	rf	NOUN
cana-2346	328	32	gb	gb	ADP
cana-2346	328	33	xgb	xgb	NOUN
cana-2346	328	34	lr	lr	INTJ
cana-2346	328	35	rf	rf	NOUN
cana-2346	328	36	gb	gb	ADP
cana-2346	328	37	xgb	xgb	NOUN
cana-2346	328	38	lr	lr	INTJ
cana-2346	328	39	rf	rf	NOUN
cana-2346	328	40	gb	gb	NOUN
cana-2346	328	41	xgb	xgb	NOUN
cana-2346	329	1	1	1	NUM
cana-2346	329	2	1	1	NUM
cana-2346	329	3	1	1	NUM
cana-2346	329	4	1	1	NUM
cana-2346	329	5	1	1	NUM
cana-2346	329	6	1	1	NUM
cana-2346	329	7	1	1	NUM
cana-2346	329	8	1	1	NUM
cana-2346	329	9	1	1	NUM
cana-2346	329	10	1	1	NUM
cana-2346	329	11	1	1	NUM
cana-2346	329	12	1	1	NUM
cana-2346	329	13	0.94	0.94	NUM
cana-2346	329	14	1	1	NUM
cana-2346	329	15	0.94	0.94	NUM
cana-2346	329	16	1	1	NUM
cana-2346	329	17	1	1	NUM
cana-2346	329	18	1	1	NUM
cana-2346	329	19	1	1	NUM
cana-2346	329	20	1	1	NUM
cana-2346	329	21	0.97	0.97	NUM
cana-2346	329	22	1	1	NUM
cana-2346	329	23	0.97	0.97	NUM
cana-2346	329	24	1	1	NUM
cana-2346	329	25	0.95	0.95	NUM
cana-2346	329	26	1	1	NUM
cana-2346	329	27	0.85	0.85	NUM
cana-2346	329	28	1	1	NUM
cana-2346	329	29	0.86	0.86	NUM
cana-2346	329	30	1	1	NUM
cana-2346	329	31	1	1	NUM
cana-2346	329	32	1	1	NUM
cana-2346	329	33	0.9	0.9	NUM
cana-2346	329	34	1	1	NUM
cana-2346	329	35	0.92	0.92	NUM
cana-2346	329	36	1	1	NUM
cana-2346	329	37	1	1	NUM
cana-2346	329	38	1	1	NUM
cana-2346	329	39	1	1	NUM
cana-2346	329	40	1	1	NUM
cana-2346	329	41	1	1	NUM
cana-2346	329	42	1	1	NUM
cana-2346	329	43	1	1	NUM
cana-2346	329	44	1	1	NUM
cana-2346	329	45	1	1	NUM
cana-2346	329	46	1	1	NUM
cana-2346	329	47	1	1	NUM
cana-2346	329	48	1	1	NUM
cana-2346	329	49	1	1	NUM
cana-2346	329	50	1	1	NUM
cana-2346	329	51	1	1	NUM
cana-2346	329	52	1	1	NUM
cana-2346	329	53	1	1	NUM
cana-2346	329	54	1	1	NUM
cana-2346	329	55	1	1	NUM
cana-2346	329	56	1	1	NUM
cana-2346	329	57	1	1	NUM
cana-2346	329	58	1	1	NUM
cana-2346	329	59	1	1	NUM
cana-2346	329	60	1	1	NUM
cana-2346	329	61	1	1	NUM
cana-2346	329	62	1	1	NUM
cana-2346	329	63	0.96	0.96	NUM
cana-2346	329	64	1	1	NUM
cana-2346	329	65	1	1	NUM
cana-2346	329	66	1	1	NUM
cana-2346	329	67	1	1	NUM
cana-2346	329	68	1	1	NUM
cana-2346	329	69	1	1	NUM
cana-2346	329	70	1	1	NUM
cana-2346	329	71	0.98	0.98	NUM
cana-2346	329	72	1	1	NUM
cana-2346	329	73	0.81	0.81	NUM
cana-2346	329	74	1	1	NUM
cana-2346	329	75	1	1	NUM
cana-2346	329	76	0.93	0.93	NUM
cana-2346	329	77	1	1	NUM
cana-2346	329	78	1	1	NUM
cana-2346	329	79	1	1	NUM
cana-2346	329	80	1	1	NUM
cana-2346	329	81	0.9	0.9	NUM
cana-2346	329	82	1	1	NUM
cana-2346	329	83	1	1	NUM
cana-2346	329	84	0.96	0.96	NUM
cana-2346	329	85	1	1	NUM
cana-2346	329	86	1	1	NUM
cana-2346	329	87	1	1	NUM
cana-2346	329	88	1	1	NUM
cana-2346	329	89	1	1	NUM
cana-2346	329	90	1	1	NUM
cana-2346	329	91	1	1	NUM
cana-2346	329	92	1	1	NUM
cana-2346	329	93	1	1	NUM
cana-2346	329	94	1	1	NUM
cana-2346	329	95	1	1	NUM
cana-2346	329	96	1	1	NUM
cana-2346	329	97	0.93	0.93	NUM
cana-2346	329	98	0.94	0.94	NUM
cana-2346	329	99	0.83	0.83	NUM
cana-2346	329	100	1	1	NUM
cana-2346	329	101	0.93	0.93	NUM
cana-2346	329	102	1	1	NUM
cana-2346	329	103	1	1	NUM
cana-2346	329	104	1	1	NUM
cana-2346	329	105	0.93	0.93	NUM
cana-2346	329	106	0.97	0.97	NUM
cana-2346	329	107	0.91	0.91	NUM
cana-2346	329	108	1	1	NUM
cana-2346	329	109	1	1	NUM
cana-2346	329	110	1	1	NUM
cana-2346	329	111	1	1	NUM
cana-2346	329	112	1	1	NUM
cana-2346	329	113	1	1	NUM
cana-2346	329	114	1	1	NUM
cana-2346	329	115	1	1	NUM
cana-2346	329	116	1	1	NUM
cana-2346	329	117	1	1	NUM
cana-2346	329	118	1	1	NUM
cana-2346	329	119	1	1	NUM
cana-2346	329	120	1	1	NUM
cana-2346	329	121	0.95	0.95	NUM
cana-2346	329	122	1	1	NUM
cana-2346	329	123	0.9	0.9	NUM
cana-2346	329	124	1	1	NUM
cana-2346	329	125	1	1	NUM
cana-2346	329	126	1	1	NUM
cana-2346	329	127	1	1	NUM
cana-2346	329	128	1	1	NUM
cana-2346	329	129	0.97	0.97	NUM
cana-2346	329	130	1	1	NUM
cana-2346	329	131	0.95	0.95	NUM
cana-2346	329	132	1	1	NUM
cana-2346	329	133	1	1	NUM
cana-2346	329	134	1	1	NUM
cana-2346	329	135	1	1	NUM
cana-2346	329	136	1	1	NUM
cana-2346	329	137	0.85	0.85	NUM
cana-2346	329	138	1	1	NUM
cana-2346	329	139	1	1	NUM
cana-2346	329	140	0.96	0.96	NUM
cana-2346	329	141	0.92	0.92	NUM
cana-2346	329	142	1	1	NUM
cana-2346	329	143	1	1	NUM
cana-2346	329	144	0.98	0.98	NUM
cana-2346	329	145	1	1	NUM
cana-2346	329	146	1	1	NUM
cana-2346	329	147	1	1	NUM
cana-2346	329	148	1	1	NUM
cana-2346	329	149	1	1	NUM
cana-2346	329	150	1	1	NUM
cana-2346	329	151	1	1	NUM
cana-2346	329	152	1	1	NUM
cana-2346	329	153	1	1	NUM
cana-2346	329	154	1	1	NUM
cana-2346	329	155	1	1	NUM
cana-2346	329	156	1	1	NUM
cana-2346	329	157	0.87	0.87	NUM
cana-2346	329	158	1	1	NUM
cana-2346	329	159	1	1	NUM
cana-2346	329	160	1	1	NUM
cana-2346	329	161	0.91	0.91	NUM
cana-2346	329	162	1	1	NUM
cana-2346	329	163	0.77	0.77	NUM
cana-2346	329	164	1	1	NUM
cana-2346	329	165	0.89	0.89	NUM
cana-2346	329	166	1	1	NUM
cana-2346	329	167	0.87	0.87	NUM
cana-2346	329	168	1	1	NUM
cana-2346	329	169	1	1	NUM
cana-2346	329	170	1	1	NUM
cana-2346	329	171	1	1	NUM
cana-2346	329	172	1	1	NUM
cana-2346	329	173	1	1	NUM
cana-2346	329	174	1	1	NUM
cana-2346	329	175	1	1	NUM
cana-2346	329	176	1	1	NUM
cana-2346	329	177	1	1	NUM
cana-2346	329	178	1	1	NUM
cana-2346	329	179	1	1	NUM
cana-2346	329	180	1	1	NUM
cana-2346	329	181	1	1	NUM
cana-2346	329	182	1	1	NUM
cana-2346	329	183	1	1	NUM
cana-2346	329	184	1	1	NUM
cana-2346	329	185	1	1	NUM
cana-2346	329	186	1	1	NUM
cana-2346	329	187	1	1	NUM
cana-2346	329	188	1	1	NUM
cana-2346	329	189	1	1	NUM
cana-2346	329	190	1	1	NUM
cana-2346	329	191	1	1	NUM
cana-2346	329	192	1	1	NUM
cana-2346	329	193	1	1	NUM
cana-2346	329	194	1	1	NUM
cana-2346	329	195	1	1	NUM
cana-2346	329	196	1	1	NUM
cana-2346	329	197	1	1	NUM
cana-2346	329	198	1	1	NUM
cana-2346	329	199	0.91	0.91	NUM
cana-2346	329	200	1	1	NUM
cana-2346	329	201	1	1	NUM
cana-2346	329	202	1	1	NUM
cana-2346	329	203	0.95	0.95	NUM
cana-2346	329	204	1	1	NUM
cana-2346	329	205	1	1	NUM
cana-2346	329	206	1	1	NUM
cana-2346	329	207	1	1	NUM
cana-2346	329	208	1	1	NUM
cana-2346	329	209	0.95	0.95	NUM
cana-2346	329	210	1	1	NUM
cana-2346	329	211	1	1	NUM
cana-2346	329	212	1	1	NUM
cana-2346	329	213	0.97	0.97	NUM
cana-2346	329	214	1	1	NUM
cana-2346	329	215	1	1	NUM
cana-2346	329	216	1	1	NUM
cana-2346	329	217	0.96	0.96	NUM
cana-2346	329	218	1	1	NUM
cana-2346	329	219	1	1	NUM
cana-2346	329	220	1	1	NUM
cana-2346	329	221	1	1	NUM
cana-2346	329	222	1	1	NUM
cana-2346	329	223	0.88	0.88	NUM
cana-2346	329	224	1	1	NUM
cana-2346	329	225	0.98	0.98	NUM
cana-2346	329	226	1	1	NUM
cana-2346	329	227	0.93	0.93	NUM
cana-2346	329	228	1	1	NUM
cana-2346	329	229	1	1	NUM
cana-2346	329	230	1	1	NUM
cana-2346	329	231	0.89	0.89	NUM
cana-2346	329	232	1	1	NUM
cana-2346	329	233	1	1	NUM
cana-2346	329	234	1	1	NUM
cana-2346	329	235	1	1	NUM
cana-2346	329	236	1	1	NUM
cana-2346	329	237	1	1	NUM
cana-2346	329	238	1	1	NUM
cana-2346	329	239	0.94	0.94	NUM
cana-2346	329	240	1	1	NUM
cana-2346	329	241	0.93	0.93	NUM
cana-2346	329	242	1	1	NUM
cana-2346	329	243	1	1	NUM
cana-2346	329	244	1	1	NUM
cana-2346	329	245	0.93	0.93	NUM
cana-2346	329	246	0.93	0.93	NUM
cana-2346	329	247	0.8	0.8	NUM
cana-2346	329	248	1	1	NUM
cana-2346	329	249	0.93	0.93	NUM
cana-2346	329	250	0.97	0.97	NUM
cana-2346	329	251	0.89	0.89	NUM
cana-2346	329	252	1	1	NUM
cana-2346	329	253	1	1	NUM
cana-2346	329	254	1	1	NUM
cana-2346	329	255	1	1	NUM
cana-2346	329	256	1	1	NUM
cana-2346	329	257	1	1	NUM
cana-2346	329	258	1	1	NUM
cana-2346	329	259	1	1	NUM
cana-2346	329	260	1	1	NUM
cana-2346	329	261	1	1	NUM
cana-2346	329	262	1	1	NUM
cana-2346	329	263	1	1	NUM
cana-2346	329	264	1	1	NUM
cana-2346	329	265	figure	figure	NOUN
cana-2346	329	266	15	15	NUM
cana-2346	329	267	precision	precision	NOUN
cana-2346	329	268	comparisons	comparison	NOUN
cana-2346	329	269	for	for	ADP
cana-2346	329	270	four	four	NUM
cana-2346	329	271	models	model	NOUN
cana-2346	329	272	of	of	ADP
cana-2346	329	273	each	each	DET
cana-2346	329	274	crop	crop	NOUN
cana-2346	329	275	figure	figure	NOUN
cana-2346	329	276	16	16	NUM
cana-2346	329	277	recall	recall	NOUN
cana-2346	329	278	comparisons	comparison	NOUN
cana-2346	329	279	for	for	ADP
cana-2346	329	280	four	four	NUM
cana-2346	329	281	models	model	NOUN
cana-2346	329	282	of	of	ADP
cana-2346	329	283	each	each	DET
cana-2346	329	284	crop	crop	NOUN
cana-2346	329	285	communications	communication	NOUN
cana-2346	329	286	on	on	ADP
cana-2346	329	287	applied	apply	VERB
cana-2346	329	288	nonlinear	nonlinear	ADJ
cana-2346	329	289	analysis	analysis	NOUN
cana-2346	329	290	issn	issn	NOUN
cana-2346	329	291	:	:	PUNCT
cana-2346	329	292	1074	1074	NUM
cana-2346	329	293	-	-	PUNCT
cana-2346	329	294	133x	133x	NUM
cana-2346	329	295	vol	vol	NOUN
cana-2346	329	296	32	32	NUM
cana-2346	329	297	no	no	NOUN
cana-2346	329	298	.	.	PUNCT
cana-2346	330	1	1s	1s	NUM
cana-2346	330	2	(	(	PUNCT
cana-2346	330	3	2025	2025	NUM
cana-2346	330	4	)	)	PUNCT
cana-2346	330	5	606	606	NUM
cana-2346	330	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	330	7	figure	figure	NOUN
cana-2346	330	8	17	17	NUM
cana-2346	330	9	f1	f1	ADJ
cana-2346	330	10	-	-	PUNCT
cana-2346	330	11	score	score	NOUN
cana-2346	330	12	comparisons	comparison	NOUN
cana-2346	330	13	for	for	ADP
cana-2346	330	14	four	four	NUM
cana-2346	330	15	models	model	NOUN
cana-2346	330	16	of	of	ADP
cana-2346	330	17	each	each	DET
cana-2346	330	18	crop	crop	NOUN
cana-2346	330	19	table	table	NOUN
cana-2346	330	20	6	6	NUM
cana-2346	330	21	displays	display	NOUN
cana-2346	330	22	actual	actual	ADJ
cana-2346	330	23	and	and	CCONJ
cana-2346	330	24	predicted	predict	VERB
cana-2346	330	25	values	value	NOUN
cana-2346	330	26	for	for	ADP
cana-2346	330	27	various	various	ADJ
cana-2346	330	28	variables	variable	NOUN
cana-2346	330	29	(	(	PUNCT
cana-2346	330	30	n	n	CCONJ
cana-2346	330	31	,	,	PUNCT
cana-2346	330	32	p	p	X
cana-2346	330	33	,	,	PUNCT
cana-2346	330	34	k	k	NOUN
cana-2346	330	35	,	,	PUNCT
cana-2346	330	36	temperature	temperature	NOUN
cana-2346	330	37	,	,	PUNCT
cana-2346	330	38	humidity	humidity	NOUN
cana-2346	330	39	,	,	PUNCT
cana-2346	330	40	ph	ph	NOUN
cana-2346	330	41	,	,	PUNCT
cana-2346	330	42	rainfall	rainfall	NOUN
cana-2346	330	43	)	)	PUNCT
cana-2346	330	44	and	and	CCONJ
cana-2346	330	45	crop	crop	NOUN
cana-2346	330	46	types	type	NOUN
cana-2346	330	47	using	use	VERB
cana-2346	330	48	different	different	ADJ
cana-2346	330	49	models	model	NOUN
cana-2346	330	50	(	(	PUNCT
cana-2346	330	51	lr	lr	NOUN
cana-2346	330	52	,	,	PUNCT
cana-2346	330	53	rf	rf	ADJ
cana-2346	330	54	,	,	PUNCT
cana-2346	330	55	gb	gb	PRON
cana-2346	330	56	,	,	PUNCT
cana-2346	330	57	xgb	xgb	NUM
cana-2346	330	58	)	)	PUNCT
cana-2346	330	59	.	.	PUNCT
cana-2346	331	1	observations	observation	NOUN
cana-2346	331	2	are	be	AUX
cana-2346	331	3	derived	derive	VERB
cana-2346	331	4	from	from	ADP
cana-2346	331	5	table	table	NOUN
cana-2346	331	6	6	6	NUM
cana-2346	331	7	.	.	PUNCT
cana-2346	332	1	columns	column	NOUN
cana-2346	332	2	for	for	ADP
cana-2346	332	3	nitrogen	nitrogen	NOUN
cana-2346	332	4	(	(	PUNCT
cana-2346	332	5	n	n	CCONJ
cana-2346	332	6	)	)	PUNCT
cana-2346	332	7	,	,	PUNCT
cana-2346	332	8	phosphorus	phosphorus	NOUN
cana-2346	332	9	(	(	PUNCT
cana-2346	332	10	p	p	NOUN
cana-2346	332	11	)	)	PUNCT
cana-2346	332	12	,	,	PUNCT
cana-2346	332	13	potassium	potassium	NOUN
cana-2346	332	14	(	(	PUNCT
cana-2346	332	15	k	k	NOUN
cana-2346	332	16	)	)	PUNCT
cana-2346	332	17	,	,	PUNCT
cana-2346	332	18	temperature	temperature	NOUN
cana-2346	332	19	,	,	PUNCT
cana-2346	332	20	humidity	humidity	NOUN
cana-2346	332	21	,	,	PUNCT
cana-2346	332	22	ph	ph	NOUN
cana-2346	332	23	,	,	PUNCT
cana-2346	332	24	and	and	CCONJ
cana-2346	332	25	rainfall	rainfall	NOUN
cana-2346	332	26	represent	represent	VERB
cana-2346	332	27	the	the	DET
cana-2346	332	28	environmental	environmental	ADJ
cana-2346	332	29	factors	factor	NOUN
cana-2346	332	30	,	,	PUNCT
cana-2346	332	31	soil	soil	NOUN
cana-2346	332	32	nutrients	nutrient	NOUN
cana-2346	332	33	,	,	PUNCT
cana-2346	332	34	and	and	CCONJ
cana-2346	332	35	weather	weather	NOUN
cana-2346	332	36	conditions	condition	NOUN
cana-2346	332	37	related	relate	VERB
cana-2346	332	38	to	to	ADP
cana-2346	332	39	the	the	DET
cana-2346	332	40	crops	crop	NOUN
cana-2346	332	41	.	.	PUNCT
cana-2346	333	1	paraphrased	paraphrase	VERB
cana-2346	333	2	:	:	PUNCT
cana-2346	333	3	this	this	DET
cana-2346	333	4	column	column	NOUN
cana-2346	333	5	indicates	indicate	VERB
cana-2346	333	6	the	the	DET
cana-2346	333	7	specific	specific	ADJ
cana-2346	333	8	crop	crop	NOUN
cana-2346	333	9	type	type	NOUN
cana-2346	333	10	determined	determine	VERB
cana-2346	333	11	by	by	ADP
cana-2346	333	12	the	the	DET
cana-2346	333	13	environmental	environmental	ADJ
cana-2346	333	14	and	and	CCONJ
cana-2346	333	15	soil	soil	NOUN
cana-2346	333	16	conditions	condition	NOUN
cana-2346	333	17	provided	provide	VERB
cana-2346	333	18	.	.	PUNCT
cana-2346	334	1	lr	lr	INTJ
cana-2346	334	2	,	,	PUNCT
cana-2346	334	3	rf	rf	ADJ
cana-2346	334	4	,	,	PUNCT
cana-2346	334	5	gb	gb	PRON
cana-2346	334	6	,	,	PUNCT
cana-2346	334	7	xgb	xgb	NUM
cana-2346	334	8	:	:	PUNCT
cana-2346	334	9	these	these	DET
cana-2346	334	10	columns	column	NOUN
cana-2346	334	11	indicate	indicate	VERB
cana-2346	334	12	the	the	DET
cana-2346	334	13	forecasted	forecast	VERB
cana-2346	334	14	crop	crop	NOUN
cana-2346	334	15	category	category	NOUN
cana-2346	334	16	by	by	ADP
cana-2346	334	17	various	various	ADJ
cana-2346	334	18	algorithms	algorithm	NOUN
cana-2346	334	19	:	:	PUNCT
cana-2346	334	20	logistic	logistic	ADJ
cana-2346	334	21	regression	regression	NOUN
cana-2346	334	22	(	(	PUNCT
cana-2346	334	23	lr	lr	NOUN
cana-2346	334	24	)	)	PUNCT
cana-2346	334	25	,	,	PUNCT
cana-2346	334	26	random	random	ADJ
cana-2346	334	27	forest	forest	NOUN
cana-2346	334	28	(	(	PUNCT
cana-2346	334	29	rf	rf	NOUN
cana-2346	334	30	)	)	PUNCT
cana-2346	334	31	,	,	PUNCT
cana-2346	334	32	gradient	gradient	NOUN
cana-2346	334	33	boosting	boosting	NOUN
cana-2346	334	34	(	(	PUNCT
cana-2346	334	35	gb	gb	NOUN
cana-2346	334	36	)	)	PUNCT
cana-2346	334	37	,	,	PUNCT
cana-2346	334	38	and	and	CCONJ
cana-2346	334	39	xgboost	xgboost	PRON
cana-2346	334	40	(	(	PUNCT
cana-2346	334	41	xgb	xgb	NUM
cana-2346	334	42	)	)	PUNCT
cana-2346	334	43	.	.	PUNCT
cana-2346	335	1	here	here	ADV
cana-2346	335	2	is	be	AUX
cana-2346	335	3	a	a	DET
cana-2346	335	4	way	way	NOUN
cana-2346	335	5	to	to	PART
cana-2346	335	6	understand	understand	VERB
cana-2346	335	7	the	the	DET
cana-2346	335	8	table	table	NOUN
cana-2346	335	9	:	:	PUNCT
cana-2346	335	10	every	every	DET
cana-2346	335	11	row	row	NOUN
cana-2346	335	12	indicates	indicate	VERB
cana-2346	335	13	a	a	DET
cana-2346	335	14	specific	specific	ADJ
cana-2346	335	15	combination	combination	NOUN
cana-2346	335	16	of	of	ADP
cana-2346	335	17	environmental	environmental	ADJ
cana-2346	335	18	and	and	CCONJ
cana-2346	335	19	soil	soil	NOUN
cana-2346	335	20	factors	factor	NOUN
cana-2346	335	21	.	.	PUNCT
cana-2346	336	1	the	the	DET
cana-2346	336	2	column	column	NOUN
cana-2346	336	3	labeled	label	VERB
cana-2346	336	4	"	"	PUNCT
cana-2346	336	5	actual	actual	ADJ
cana-2346	336	6	"	"	PUNCT
cana-2346	336	7	displays	display	VERB
cana-2346	336	8	the	the	DET
cana-2346	336	9	accurate	accurate	ADJ
cana-2346	336	10	crop	crop	NOUN
cana-2346	336	11	type	type	NOUN
cana-2346	336	12	according	accord	VERB
cana-2346	336	13	to	to	ADP
cana-2346	336	14	these	these	DET
cana-2346	336	15	conditions	condition	NOUN
cana-2346	336	16	.	.	PUNCT
cana-2346	337	1	the	the	DET
cana-2346	337	2	columns	column	NOUN
cana-2346	337	3	identified	identify	VERB
cana-2346	337	4	by	by	ADP
cana-2346	337	5	model	model	NOUN
cana-2346	337	6	names	name	NOUN
cana-2346	337	7	(	(	PUNCT
cana-2346	337	8	"	"	PUNCT
cana-2346	337	9	lr	lr	INTJ
cana-2346	337	10	"	"	PUNCT
cana-2346	337	11	,	,	PUNCT
cana-2346	337	12	"	"	PUNCT
cana-2346	337	13	rf	rf	NOUN
cana-2346	337	14	"	"	PUNCT
cana-2346	337	15	,	,	PUNCT
cana-2346	337	16	"	"	PUNCT
cana-2346	337	17	gb	gb	ADJ
cana-2346	337	18	"	"	PUNCT
cana-2346	337	19	,	,	PUNCT
cana-2346	337	20	"	"	PUNCT
cana-2346	337	21	xgb	xgb	ADJ
cana-2346	337	22	"	"	PUNCT
cana-2346	337	23	)	)	PUNCT
cana-2346	337	24	display	display	VERB
cana-2346	337	25	the	the	DET
cana-2346	337	26	predicted	predict	VERB
cana-2346	337	27	crop	crop	NOUN
cana-2346	337	28	type	type	NOUN
cana-2346	337	29	by	by	ADP
cana-2346	337	30	each	each	DET
cana-2346	337	31	model	model	NOUN
cana-2346	337	32	according	accord	VERB
cana-2346	337	33	to	to	ADP
cana-2346	337	34	the	the	DET
cana-2346	337	35	provided	provide	VERB
cana-2346	337	36	conditions	condition	NOUN
cana-2346	337	37	.	.	PUNCT
cana-2346	338	1	to	to	PART
cana-2346	338	2	assess	assess	VERB
cana-2346	338	3	the	the	DET
cana-2346	338	4	performance	performance	NOUN
cana-2346	338	5	of	of	ADP
cana-2346	338	6	each	each	DET
cana-2346	338	7	model	model	NOUN
cana-2346	338	8	,	,	PUNCT
cana-2346	338	9	you	you	PRON
cana-2346	338	10	can	can	AUX
cana-2346	338	11	compare	compare	VERB
cana-2346	338	12	the	the	DET
cana-2346	338	13	anticipated	anticipated	ADJ
cana-2346	338	14	crop	crop	NOUN
cana-2346	338	15	types	type	NOUN
cana-2346	338	16	from	from	ADP
cana-2346	338	17	various	various	ADJ
cana-2346	338	18	models	model	NOUN
cana-2346	338	19	with	with	ADP
cana-2346	338	20	the	the	DET
cana-2346	338	21	actual	actual	ADJ
cana-2346	338	22	crop	crop	NOUN
cana-2346	338	23	type	type	NOUN
cana-2346	338	24	under	under	ADP
cana-2346	338	25	a	a	DET
cana-2346	338	26	specific	specific	ADJ
cana-2346	338	27	set	set	NOUN
cana-2346	338	28	of	of	ADP
cana-2346	338	29	conditions	condition	NOUN
cana-2346	338	30	.	.	PUNCT
cana-2346	339	1	when	when	SCONJ
cana-2346	339	2	the	the	DET
cana-2346	339	3	expected	expect	VERB
cana-2346	339	4	crop	crop	NOUN
cana-2346	339	5	type	type	NOUN
cana-2346	339	6	aligns	align	VERB
cana-2346	339	7	with	with	ADP
cana-2346	339	8	the	the	DET
cana-2346	339	9	actual	actual	ADJ
cana-2346	339	10	crop	crop	NOUN
cana-2346	339	11	type	type	NOUN
cana-2346	339	12	,	,	PUNCT
cana-2346	339	13	it	it	PRON
cana-2346	339	14	signifies	signify	VERB
cana-2346	339	15	that	that	SCONJ
cana-2346	339	16	the	the	DET
cana-2346	339	17	model	model	NOUN
cana-2346	339	18	has	have	AUX
cana-2346	339	19	accurately	accurately	ADV
cana-2346	339	20	predicted	predict	VERB
cana-2346	339	21	the	the	DET
cana-2346	339	22	outcome	outcome	NOUN
cana-2346	339	23	under	under	ADP
cana-2346	339	24	those	those	DET
cana-2346	339	25	conditions	condition	NOUN
cana-2346	339	26	.	.	PUNCT
cana-2346	340	1	in	in	ADP
cana-2346	340	2	the	the	DET
cana-2346	340	3	initial	initial	ADJ
cana-2346	340	4	row	row	NOUN
cana-2346	340	5	,	,	PUNCT
cana-2346	340	6	the	the	DET
cana-2346	340	7	specific	specific	ADJ
cana-2346	340	8	crop	crop	NOUN
cana-2346	340	9	variety	variety	NOUN
cana-2346	340	10	is	be	AUX
cana-2346	340	11	"	"	PUNCT
cana-2346	340	12	rice	rice	NOUN
cana-2346	340	13	"	"	PUNCT
cana-2346	340	14	.	.	PUNCT
cana-2346	341	1	based	base	VERB
cana-2346	341	2	on	on	ADP
cana-2346	341	3	lr	lr	PROPN
cana-2346	341	4	,	,	PUNCT
cana-2346	341	5	rf	rf	ADJ
cana-2346	341	6	,	,	PUNCT
cana-2346	341	7	gb	gb	NOUN
cana-2346	341	8	,	,	PUNCT
cana-2346	341	9	and	and	CCONJ
cana-2346	341	10	xgb	xgb	NUM
cana-2346	341	11	models	model	NOUN
cana-2346	341	12	,	,	PUNCT
cana-2346	341	13	the	the	DET
cana-2346	341	14	anticipated	anticipate	VERB
cana-2346	341	15	crop	crop	NOUN
cana-2346	341	16	variety	variety	NOUN
cana-2346	341	17	is	be	AUX
cana-2346	341	18	"	"	PUNCT
cana-2346	341	19	rice	rice	NOUN
cana-2346	341	20	"	"	PUNCT
cana-2346	341	21	as	as	ADV
cana-2346	341	22	well	well	ADV
cana-2346	341	23	.	.	PUNCT
cana-2346	342	1	this	this	PRON
cana-2346	342	2	indicates	indicate	VERB
cana-2346	342	3	that	that	SCONJ
cana-2346	342	4	all	all	DET
cana-2346	342	5	four	four	NUM
cana-2346	342	6	models	model	NOUN
cana-2346	342	7	have	have	AUX
cana-2346	342	8	accurately	accurately	ADV
cana-2346	342	9	predicted	predict	VERB
cana-2346	342	10	the	the	DET
cana-2346	342	11	outcome	outcome	NOUN
cana-2346	342	12	under	under	ADP
cana-2346	342	13	these	these	DET
cana-2346	342	14	specific	specific	ADJ
cana-2346	342	15	environmental	environmental	ADJ
cana-2346	342	16	and	and	CCONJ
cana-2346	342	17	soil	soil	NOUN
cana-2346	342	18	conditions	condition	NOUN
cana-2346	342	19	.	.	PUNCT
cana-2346	343	1	in	in	ADP
cana-2346	343	2	the	the	DET
cana-2346	343	3	same	same	ADJ
cana-2346	343	4	way	way	NOUN
cana-2346	343	5	,	,	PUNCT
cana-2346	343	6	you	you	PRON
cana-2346	343	7	can	can	AUX
cana-2346	343	8	evaluate	evaluate	VERB
cana-2346	343	9	the	the	DET
cana-2346	343	10	forecasts	forecast	NOUN
cana-2346	343	11	for	for	ADP
cana-2346	343	12	additional	additional	ADJ
cana-2346	343	13	rows	row	NOUN
cana-2346	343	14	to	to	PART
cana-2346	343	15	determine	determine	VERB
cana-2346	343	16	the	the	DET
cana-2346	343	17	precision	precision	NOUN
cana-2346	343	18	of	of	ADP
cana-2346	343	19	each	each	DET
cana-2346	343	20	model	model	NOUN
cana-2346	343	21	under	under	ADP
cana-2346	343	22	various	various	ADJ
cana-2346	343	23	conditions	condition	NOUN
cana-2346	343	24	and	and	CCONJ
cana-2346	343	25	crop	crop	NOUN
cana-2346	343	26	varieties	variety	NOUN
cana-2346	343	27	.	.	PUNCT
cana-2346	344	1	this	this	DET
cana-2346	344	2	table	table	NOUN
cana-2346	344	3	6	6	NUM
cana-2346	344	4	is	be	AUX
cana-2346	344	5	essential	essential	ADJ
cana-2346	344	6	for	for	ADP
cana-2346	344	7	assessing	assess	VERB
cana-2346	344	8	the	the	DET
cana-2346	344	9	effectiveness	effectiveness	NOUN
cana-2346	344	10	of	of	ADP
cana-2346	344	11	machine	machine	NOUN
cana-2346	344	12	learning	learning	NOUN
cana-2346	344	13	models	model	NOUN
cana-2346	344	14	in	in	ADP
cana-2346	344	15	forecasting	forecast	VERB
cana-2346	344	16	crop	crop	NOUN
cana-2346	344	17	types	type	NOUN
cana-2346	344	18	using	use	VERB
cana-2346	344	19	environmental	environmental	ADJ
cana-2346	344	20	and	and	CCONJ
cana-2346	344	21	soil	soil	NOUN
cana-2346	344	22	conditions	condition	NOUN
cana-2346	344	23	,	,	PUNCT
cana-2346	344	24	which	which	PRON
cana-2346	344	25	is	be	AUX
cana-2346	344	26	critical	critical	ADJ
cana-2346	344	27	for	for	ADP
cana-2346	344	28	making	make	VERB
cana-2346	344	29	decisions	decision	NOUN
cana-2346	344	30	in	in	ADP
cana-2346	344	31	agriculture	agriculture	NOUN
cana-2346	344	32	.	.	PUNCT
cana-2346	345	1	table	table	NOUN
cana-2346	345	2	6	6	NUM
cana-2346	345	3	actual	actual	ADJ
cana-2346	345	4	values	value	NOUN
cana-2346	345	5	and	and	CCONJ
cana-2346	345	6	predicted	predict	VERB
cana-2346	345	7	values	value	NOUN
cana-2346	345	8	for	for	ADP
cana-2346	345	9	different	different	ADJ
cana-2346	345	10	variables	variable	NOUN
cana-2346	345	11	,	,	PUNCT
cana-2346	345	12	including	include	VERB
cana-2346	345	13	n	n	CCONJ
cana-2346	345	14	,	,	PUNCT
cana-2346	345	15	p	p	X
cana-2346	345	16	,	,	PUNCT
cana-2346	345	17	k	k	NOUN
cana-2346	345	18	,	,	PUNCT
cana-2346	345	19	temperature	temperature	NOUN
cana-2346	345	20	,	,	PUNCT
cana-2346	345	21	humidity	humidity	NOUN
cana-2346	345	22	,	,	PUNCT
cana-2346	345	23	ph	ph	NOUN
cana-2346	345	24	,	,	PUNCT
cana-2346	345	25	and	and	CCONJ
cana-2346	345	26	rainfall	rainfall	NOUN
cana-2346	345	27	,	,	PUNCT
cana-2346	345	28	along	along	ADP
cana-2346	345	29	with	with	ADP
cana-2346	345	30	the	the	DET
cana-2346	345	31	actual	actual	ADJ
cana-2346	345	32	crop	crop	NOUN
cana-2346	345	33	type	type	NOUN
cana-2346	345	34	and	and	CCONJ
cana-2346	345	35	the	the	DET
cana-2346	345	36	predicted	predict	VERB
cana-2346	345	37	crop	crop	NOUN
cana-2346	345	38	type	type	NOUN
cana-2346	345	39	actua	actua	PROPN
cana-2346	345	40	l	l	PROPN
cana-2346	345	41	predicted	predict	VERB
cana-2346	345	42	n	n	PRON
cana-2346	345	43	p	p	PROPN
cana-2346	345	44	k	k	PROPN
cana-2346	345	45	temparat	temparat	NOUN
cana-2346	345	46	ure	ure	VERB
cana-2346	345	47	humid	humid	PROPN
cana-2346	346	1	ity	ity	PROPN
cana-2346	346	2	ph	ph	PROPN
cana-2346	346	3	rainfa	rainfa	NOUN
cana-2346	346	4	ll	ll	AUX
cana-2346	346	5	-lr	-lr	INTJ
cana-2346	346	6	rf	rf	VERB
cana-2346	346	7	gb	gb	ADP
cana-2346	346	8	xgb	xgb	NOUN
cana-2346	346	9	communications	communication	NOUN
cana-2346	346	10	on	on	ADP
cana-2346	346	11	applied	apply	VERB
cana-2346	346	12	nonlinear	nonlinear	ADJ
cana-2346	346	13	analysis	analysis	NOUN
cana-2346	346	14	issn	issn	NOUN
cana-2346	346	15	:	:	PUNCT
cana-2346	346	16	1074	1074	NUM
cana-2346	346	17	-	-	PUNCT
cana-2346	346	18	133x	133x	NUM
cana-2346	346	19	vol	vol	NOUN
cana-2346	346	20	32	32	NUM
cana-2346	347	1	no	no	NOUN
cana-2346	347	2	.	.	PUNCT
cana-2346	348	1	1s	1s	NUM
cana-2346	348	2	(	(	PUNCT
cana-2346	348	3	2025	2025	NUM
cana-2346	348	4	)	)	PUNCT
cana-2346	348	5	607	607	NUM
cana-2346	348	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	348	7	8	8	NUM
cana-2346	348	8	5	5	NUM
cana-2346	348	9	5	5	NUM
cana-2346	348	10	2	2	NUM
cana-2346	348	11	4	4	NUM
cana-2346	348	12	5	5	NUM
cana-2346	348	13	26.31	26.31	NUM
cana-2346	348	14	82.3	82.3	NUM
cana-2346	348	15	7	7	NUM
cana-2346	348	16	7	7	NUM
cana-2346	348	17	.22	.22	NUM
cana-2346	348	18	265.5	265.5	NUM
cana-2346	348	19	4	4	NUM
cana-2346	348	20	rice	rice	NOUN
cana-2346	348	21	rice	rice	NOUN
cana-2346	348	22	rice	rice	PROPN
cana-2346	348	23	rice	rice	NOUN
cana-2346	348	24	rice	rice	NOUN
cana-2346	348	25	6	6	NUM
cana-2346	348	26	6	6	NUM
cana-2346	348	27	5	5	NUM
cana-2346	348	28	4	4	NUM
cana-2346	348	29	2	2	NUM
cana-2346	348	30	1	1	NUM
cana-2346	348	31	25.19	25.19	NUM
cana-2346	348	32	60.2	60.2	NUM
cana-2346	348	33	0	0	NUM
cana-2346	348	34	5	5	NUM
cana-2346	348	35	.92	.92	NUM
cana-2346	348	36	72.12	72.12	NUM
cana-2346	348	37	maize	maize	NOUN
cana-2346	348	38	maize	maize	NOUN
cana-2346	348	39	maize	maize	NOUN
cana-2346	348	40	maize	maize	NOUN
cana-2346	348	41	maize	maize	NOUN
cana-2346	348	42	5	5	NUM
cana-2346	348	43	9	9	NUM
cana-2346	348	44	7	7	NUM
cana-2346	348	45	0	0	NUM
cana-2346	348	46	8	8	NUM
cana-2346	348	47	4	4	NUM
cana-2346	348	48	17.33	17.33	NUM
cana-2346	348	49	18.7	18.7	NUM
cana-2346	348	50	5	5	NUM
cana-2346	348	51	7	7	NUM
cana-2346	348	52	.55	.55	NUM
cana-2346	348	53	82.62	82.62	NUM
cana-2346	348	54	chickpea	chickpea	NOUN
cana-2346	348	55	chickpea	chickpea	NOUN
cana-2346	348	56	chickpea	chickpea	PROPN
cana-2346	348	57	chickpea	chickpea	PROPN
cana-2346	348	58	chickpea	chickpea	NOUN
cana-2346	348	59	2	2	NUM
cana-2346	348	60	6	6	NUM
cana-2346	348	61	6	6	NUM
cana-2346	348	62	5	5	NUM
cana-2346	348	63	2	2	NUM
cana-2346	348	64	2	2	NUM
cana-2346	348	65	17.85	17.85	NUM
cana-2346	348	66	18.7	18.7	NUM
cana-2346	348	67	8	8	NUM
cana-2346	348	68	5	5	NUM
cana-2346	348	69	.95	.95	NUM
cana-2346	348	70	143.1	143.1	NUM
cana-2346	348	71	0	0	NUM
cana-2346	348	72	kidneybe	kidneybe	PROPN
cana-2346	348	73	ans	ans	PROPN
cana-2346	348	74	kidneybe	kidneybe	PROPN
cana-2346	348	75	ans	ans	PROPN
cana-2346	348	76	kidneybe	kidneybe	PROPN
cana-2346	348	77	ans	ans	PROPN
cana-2346	348	78	kidneybe	kidneybe	PROPN
cana-2346	348	79	ans	ans	PROPN
cana-2346	348	80	kidneybe	kidneybe	PROPN
cana-2346	348	81	ans	ans	PROPN
cana-2346	348	82	2	2	NUM
cana-2346	348	83	7	7	NUM
cana-2346	348	84	7	7	NUM
cana-2346	348	85	2	2	NUM
cana-2346	348	86	1	1	NUM
cana-2346	348	87	7	7	NUM
cana-2346	348	88	28.98	28.98	NUM
cana-2346	348	89	57.2	57.2	NUM
cana-2346	348	90	3	3	NUM
cana-2346	348	91	6	6	NUM
cana-2346	348	92	.35	.35	NUM
cana-2346	348	93	120.7	120.7	NUM
cana-2346	348	94	4	4	NUM
cana-2346	348	95	pigeonpe	pigeonpe	NOUN
cana-2346	348	96	as	as	ADP
cana-2346	348	97	pigeonpe	pigeonpe	NOUN
cana-2346	348	98	as	as	ADP
cana-2346	348	99	pigeonpe	pigeonpe	NOUN
cana-2346	348	100	as	as	ADP
cana-2346	348	101	pigeonpe	pigeonpe	NOUN
cana-2346	348	102	as	as	ADP
cana-2346	348	103	pigeonpe	pigeonpe	NOUN
cana-2346	348	104	as	as	ADP
cana-2346	348	105	3	3	NUM
cana-2346	348	106	6	6	NUM
cana-2346	348	107	5	5	NUM
cana-2346	348	108	7	7	NUM
cana-2346	348	109	1	1	NUM
cana-2346	348	110	6	6	NUM
cana-2346	348	111	28.61	28.61	NUM
cana-2346	348	112	57.1	57.1	NUM
cana-2346	348	113	4	4	NUM
cana-2346	348	114	8	8	NUM
cana-2346	348	115	.29	.29	NUM
cana-2346	348	116	57.03	57.03	NUM
cana-2346	348	117	mothbea	mothbea	NOUN
cana-2346	348	118	ns	ns	NUM
cana-2346	348	119	blackgra	blackgra	NOUN
cana-2346	348	120	m	m	NOUN
cana-2346	348	121	mothbea	mothbea	NOUN
cana-2346	348	122	ns	ns	NUM
cana-2346	348	123	mothbea	mothbea	NOUN
cana-2346	348	124	ns	ns	NUM
cana-2346	348	125	mothbea	mothbea	ADJ
cana-2346	348	126	ns	ns	NUM
cana-2346	348	127	figure	figure	NOUN
cana-2346	348	128	18	18	NUM
cana-2346	348	129	displays	display	NOUN
cana-2346	348	130	a	a	DET
cana-2346	348	131	stacked	stack	VERB
cana-2346	348	132	bar	bar	NOUN
cana-2346	348	133	chart	chart	NOUN
cana-2346	348	134	that	that	PRON
cana-2346	348	135	provides	provide	VERB
cana-2346	348	136	a	a	DET
cana-2346	348	137	complete	complete	ADJ
cana-2346	348	138	visualization	visualization	NOUN
cana-2346	348	139	of	of	ADP
cana-2346	348	140	the	the	DET
cana-2346	348	141	performance	performance	NOUN
cana-2346	348	142	of	of	ADP
cana-2346	348	143	various	various	ADJ
cana-2346	348	144	machine	machine	NOUN
cana-2346	348	145	learning	learn	VERB
cana-2346	348	146	algorithms	algorithm	NOUN
cana-2346	348	147	in	in	ADP
cana-2346	348	148	predicting	predict	VERB
cana-2346	348	149	crop	crop	NOUN
cana-2346	348	150	types	type	NOUN
cana-2346	348	151	using	use	VERB
cana-2346	348	152	soil	soil	NOUN
cana-2346	348	153	and	and	CCONJ
cana-2346	348	154	environmental	environmental	ADJ
cana-2346	348	155	factors	factor	NOUN
cana-2346	348	156	.	.	PUNCT
cana-2346	349	1	here	here	ADV
cana-2346	349	2	is	be	AUX
cana-2346	349	3	a	a	DET
cana-2346	349	4	comprehensive	comprehensive	ADJ
cana-2346	349	5	breakdown	breakdown	NOUN
cana-2346	349	6	:	:	PUNCT
cana-2346	349	7	projected	project	VERB
cana-2346	349	8	crop	crop	NOUN
cana-2346	349	9	allocation	allocation	NOUN
cana-2346	349	10	:	:	PUNCT
cana-2346	349	11	the	the	DET
cana-2346	349	12	chart	chart	NOUN
cana-2346	349	13	displays	display	VERB
cana-2346	349	14	the	the	DET
cana-2346	349	15	predicted	predict	VERB
cana-2346	349	16	distribution	distribution	NOUN
cana-2346	349	17	of	of	ADP
cana-2346	349	18	crop	crop	NOUN
cana-2346	349	19	varieties	variety	NOUN
cana-2346	349	20	for	for	ADP
cana-2346	349	21	every	every	DET
cana-2346	349	22	crop	crop	NOUN
cana-2346	349	23	listed	list	VERB
cana-2346	349	24	in	in	ADP
cana-2346	349	25	the	the	DET
cana-2346	349	26	dataset	dataset	NOUN
cana-2346	349	27	.	.	PUNCT
cana-2346	350	1	this	this	DET
cana-2346	350	2	distribution	distribution	NOUN
cana-2346	350	3	provides	provide	VERB
cana-2346	350	4	important	important	ADJ
cana-2346	350	5	information	information	NOUN
cana-2346	350	6	on	on	ADP
cana-2346	350	7	how	how	SCONJ
cana-2346	350	8	well	well	ADV
cana-2346	350	9	the	the	DET
cana-2346	350	10	machine	machine	NOUN
cana-2346	350	11	learning	learning	NOUN
cana-2346	350	12	models	model	NOUN
cana-2346	350	13	suggest	suggest	VERB
cana-2346	350	14	appropriate	appropriate	ADJ
cana-2346	350	15	crops	crop	NOUN
cana-2346	350	16	.	.	PUNCT
cana-2346	351	1	comparison	comparison	NOUN
cana-2346	351	2	of	of	ADP
cana-2346	351	3	model	model	NOUN
cana-2346	351	4	performance	performance	NOUN
cana-2346	351	5	:	:	PUNCT
cana-2346	351	6	researchers	researcher	NOUN
cana-2346	351	7	can	can	AUX
cana-2346	351	8	assess	assess	VERB
cana-2346	351	9	the	the	DET
cana-2346	351	10	effectiveness	effectiveness	NOUN
cana-2346	351	11	of	of	ADP
cana-2346	351	12	various	various	ADJ
cana-2346	351	13	machine	machine	NOUN
cana-2346	351	14	learning	learning	NOUN
cana-2346	351	15	models	model	NOUN
cana-2346	351	16	,	,	PUNCT
cana-2346	351	17	such	such	ADJ
cana-2346	351	18	as	as	ADP
cana-2346	351	19	logistic	logistic	ADJ
cana-2346	351	20	regression	regression	NOUN
cana-2346	351	21	(	(	PUNCT
cana-2346	351	22	lr	lr	NOUN
cana-2346	351	23	)	)	PUNCT
cana-2346	351	24	,	,	PUNCT
cana-2346	351	25	random	random	ADJ
cana-2346	351	26	forest	forest	NOUN
cana-2346	351	27	(	(	PUNCT
cana-2346	351	28	rf	rf	NOUN
cana-2346	351	29	)	)	PUNCT
cana-2346	351	30	,	,	PUNCT
cana-2346	351	31	gradient	gradient	NOUN
cana-2346	351	32	boosting	boosting	NOUN
cana-2346	351	33	(	(	PUNCT
cana-2346	351	34	gb	gb	NOUN
cana-2346	351	35	)	)	PUNCT
cana-2346	351	36	,	,	PUNCT
cana-2346	351	37	and	and	CCONJ
cana-2346	351	38	xgboost	xgboost	PRON
cana-2346	351	39	(	(	PUNCT
cana-2346	351	40	xgb	xgb	PROPN
cana-2346	351	41	)	)	PUNCT
cana-2346	351	42	,	,	PUNCT
cana-2346	351	43	by	by	ADP
cana-2346	351	44	examining	examine	VERB
cana-2346	351	45	the	the	DET
cana-2346	351	46	stacked	stack	VERB
cana-2346	351	47	bars	bar	NOUN
cana-2346	351	48	representing	represent	VERB
cana-2346	351	49	each	each	DET
cana-2346	351	50	actual	actual	ADJ
cana-2346	351	51	crop	crop	NOUN
cana-2346	351	52	.	.	PUNCT
cana-2346	352	1	every	every	DET
cana-2346	352	2	section	section	NOUN
cana-2346	352	3	of	of	ADP
cana-2346	352	4	the	the	DET
cana-2346	352	5	stacked	stack	VERB
cana-2346	352	6	bar	bar	NOUN
cana-2346	352	7	shows	show	VERB
cana-2346	352	8	the	the	DET
cana-2346	352	9	forecasts	forecast	NOUN
cana-2346	352	10	made	make	VERB
cana-2346	352	11	by	by	ADP
cana-2346	352	12	a	a	DET
cana-2346	352	13	distinct	distinct	ADJ
cana-2346	352	14	model	model	NOUN
cana-2346	352	15	,	,	PUNCT
cana-2346	352	16	enabling	enable	VERB
cana-2346	352	17	researchers	researcher	NOUN
cana-2346	352	18	to	to	PART
cana-2346	352	19	visually	visually	ADV
cana-2346	352	20	evaluate	evaluate	VERB
cana-2346	352	21	which	which	DET
cana-2346	352	22	models	model	NOUN
cana-2346	352	23	consistently	consistently	ADV
cana-2346	352	24	give	give	VERB
cana-2346	352	25	precise	precise	ADJ
cana-2346	352	26	suggestions	suggestion	NOUN
cana-2346	352	27	for	for	ADP
cana-2346	352	28	various	various	ADJ
cana-2346	352	29	crops	crop	NOUN
cana-2346	352	30	.	.	PUNCT
cana-2346	353	1	researchers	researcher	NOUN
cana-2346	353	2	have	have	VERB
cana-2346	353	3	the	the	DET
cana-2346	353	4	ability	ability	NOUN
cana-2346	353	5	to	to	PART
cana-2346	353	6	determine	determine	VERB
cana-2346	353	7	the	the	DET
cana-2346	353	8	predominant	predominant	ADJ
cana-2346	353	9	machine	machine	NOUN
cana-2346	353	10	learning	learning	NOUN
cana-2346	353	11	models	model	NOUN
cana-2346	353	12	for	for	ADP
cana-2346	353	13	specific	specific	ADJ
cana-2346	353	14	crops	crop	NOUN
cana-2346	353	15	.	.	PUNCT
cana-2346	354	1	understanding	understand	VERB
cana-2346	354	2	the	the	DET
cana-2346	354	3	strengths	strength	NOUN
cana-2346	354	4	and	and	CCONJ
cana-2346	354	5	weaknesses	weakness	NOUN
cana-2346	354	6	of	of	ADP
cana-2346	354	7	each	each	DET
cana-2346	354	8	algorithm	algorithm	NOUN
cana-2346	354	9	and	and	CCONJ
cana-2346	354	10	identifying	identify	VERB
cana-2346	354	11	the	the	DET
cana-2346	354	12	most	most	ADV
cana-2346	354	13	reliable	reliable	ADJ
cana-2346	354	14	models	model	NOUN
cana-2346	354	15	for	for	ADP
cana-2346	354	16	specific	specific	ADJ
cana-2346	354	17	agricultural	agricultural	ADJ
cana-2346	354	18	scenarios	scenario	NOUN
cana-2346	354	19	depend	depend	VERB
cana-2346	354	20	on	on	ADP
cana-2346	354	21	this	this	DET
cana-2346	354	22	vital	vital	ADJ
cana-2346	354	23	information	information	NOUN
cana-2346	354	24	.	.	PUNCT
cana-2346	355	1	understanding	understand	VERB
cana-2346	355	2	prediction	prediction	NOUN
cana-2346	355	3	consistency	consistency	NOUN
cana-2346	355	4	:	:	PUNCT
cana-2346	355	5	the	the	DET
cana-2346	355	6	taller	tall	ADJ
cana-2346	355	7	the	the	DET
cana-2346	355	8	stacked	stack	VERB
cana-2346	355	9	bars	bar	NOUN
cana-2346	355	10	,	,	PUNCT
cana-2346	355	11	the	the	PRON
cana-2346	355	12	more	more	ADV
cana-2346	355	13	often	often	ADV
cana-2346	355	14	each	each	DET
cana-2346	355	15	crop	crop	NOUN
cana-2346	355	16	is	be	AUX
cana-2346	355	17	predicted	predict	VERB
cana-2346	355	18	by	by	ADP
cana-2346	355	19	various	various	ADJ
cana-2346	355	20	models	model	NOUN
cana-2346	355	21	.	.	PUNCT
cana-2346	356	1	consistent	consistent	ADJ
cana-2346	356	2	taller	tall	ADJ
cana-2346	356	3	segments	segment	NOUN
cana-2346	356	4	in	in	ADP
cana-2346	356	5	various	various	ADJ
cana-2346	356	6	crops	crop	NOUN
cana-2346	356	7	indicate	indicate	VERB
cana-2346	356	8	models	model	NOUN
cana-2346	356	9	that	that	PRON
cana-2346	356	10	consistently	consistently	ADV
cana-2346	356	11	offer	offer	VERB
cana-2346	356	12	dependable	dependable	ADJ
cana-2346	356	13	predictions	prediction	NOUN
cana-2346	356	14	,	,	PUNCT
cana-2346	356	15	while	while	SCONJ
cana-2346	356	16	variations	variation	NOUN
cana-2346	356	17	in	in	ADP
cana-2346	356	18	segment	segment	NOUN
cana-2346	356	19	heights	height	NOUN
cana-2346	356	20	could	could	AUX
cana-2346	356	21	suggest	suggest	VERB
cana-2346	356	22	different	different	ADJ
cana-2346	356	23	levels	level	NOUN
cana-2346	356	24	of	of	ADP
cana-2346	356	25	prediction	prediction	NOUN
cana-2346	356	26	accuracy	accuracy	NOUN
cana-2346	356	27	.	.	PUNCT
cana-2346	357	1	potential	potential	ADJ
cana-2346	357	2	enhancements	enhancement	NOUN
cana-2346	357	3	:	:	PUNCT
cana-2346	357	4	discrepancies	discrepancy	NOUN
cana-2346	357	5	between	between	ADP
cana-2346	357	6	estimated	estimated	ADJ
cana-2346	357	7	and	and	CCONJ
cana-2346	357	8	actual	actual	ADJ
cana-2346	357	9	crop	crop	NOUN
cana-2346	357	10	yields	yield	NOUN
cana-2346	357	11	in	in	ADP
cana-2346	357	12	certain	certain	ADJ
cana-2346	357	13	models	model	NOUN
cana-2346	357	14	and	and	CCONJ
cana-2346	357	15	crops	crop	NOUN
cana-2346	357	16	can	can	AUX
cana-2346	357	17	highlight	highlight	VERB
cana-2346	357	18	areas	area	NOUN
cana-2346	357	19	that	that	PRON
cana-2346	357	20	require	require	VERB
cana-2346	357	21	further	further	ADJ
cana-2346	357	22	investigation	investigation	NOUN
cana-2346	357	23	and	and	CCONJ
cana-2346	357	24	model	model	NOUN
cana-2346	357	25	improvement	improvement	NOUN
cana-2346	357	26	.	.	PUNCT
cana-2346	358	1	researchers	researcher	NOUN
cana-2346	358	2	can	can	AUX
cana-2346	358	3	use	use	VERB
cana-2346	358	4	this	this	DET
cana-2346	358	5	information	information	NOUN
cana-2346	358	6	to	to	PART
cana-2346	358	7	modify	modify	VERB
cana-2346	358	8	their	their	PRON
cana-2346	358	9	machine	machine	NOUN
cana-2346	358	10	learning	learn	VERB
cana-2346	358	11	algorithms	algorithm	NOUN
cana-2346	358	12	and	and	CCONJ
cana-2346	358	13	improve	improve	VERB
cana-2346	358	14	the	the	DET
cana-2346	358	15	overall	overall	ADJ
cana-2346	358	16	accuracy	accuracy	NOUN
cana-2346	358	17	of	of	ADP
cana-2346	358	18	crop	crop	NOUN
cana-2346	358	19	recommendations	recommendation	NOUN
cana-2346	358	20	.	.	PUNCT
cana-2346	359	1	in	in	ADP
cana-2346	359	2	general	general	ADJ
cana-2346	359	3	,	,	PUNCT
cana-2346	359	4	the	the	DET
cana-2346	359	5	stacked	stacked	ADJ
cana-2346	359	6	bar	bar	NOUN
cana-2346	359	7	graph	graph	NOUN
cana-2346	359	8	provides	provide	VERB
cana-2346	359	9	a	a	DET
cana-2346	359	10	visually	visually	ADV
cana-2346	359	11	simple	simple	ADJ
cana-2346	359	12	method	method	NOUN
cana-2346	359	13	for	for	SCONJ
cana-2346	359	14	researchers	researcher	NOUN
cana-2346	359	15	to	to	PART
cana-2346	359	16	assess	assess	VERB
cana-2346	359	17	and	and	CCONJ
cana-2346	359	18	contrast	contrast	VERB
cana-2346	359	19	the	the	DET
cana-2346	359	20	effectiveness	effectiveness	NOUN
cana-2346	359	21	of	of	ADP
cana-2346	359	22	various	various	ADJ
cana-2346	359	23	machine	machine	NOUN
cana-2346	359	24	learning	learning	NOUN
cana-2346	359	25	models	model	NOUN
cana-2346	359	26	in	in	ADP
cana-2346	359	27	crop	crop	NOUN
cana-2346	359	28	recommendation	recommendation	NOUN
cana-2346	359	29	assignments	assignment	NOUN
cana-2346	359	30	.	.	PUNCT
cana-2346	360	1	it	it	PRON
cana-2346	360	2	helps	help	VERB
cana-2346	360	3	make	make	VERB
cana-2346	360	4	decisions	decision	NOUN
cana-2346	360	5	based	base	VERB
cana-2346	360	6	on	on	ADP
cana-2346	360	7	data	datum	NOUN
cana-2346	360	8	and	and	CCONJ
cana-2346	360	9	gives	give	VERB
cana-2346	360	10	useful	useful	ADJ
cana-2346	360	11	information	information	NOUN
cana-2346	360	12	for	for	ADP
cana-2346	360	13	improving	improve	VERB
cana-2346	360	14	both	both	DET
cana-2346	360	15	agricultural	agricultural	ADJ
cana-2346	360	16	productivity	productivity	NOUN
cana-2346	360	17	and	and	CCONJ
cana-2346	360	18	sustainability	sustainability	NOUN
cana-2346	360	19	.	.	PUNCT
cana-2346	361	1	communications	communication	NOUN
cana-2346	361	2	on	on	ADP
cana-2346	361	3	applied	apply	VERB
cana-2346	361	4	nonlinear	nonlinear	ADJ
cana-2346	361	5	analysis	analysis	NOUN
cana-2346	361	6	issn	issn	NOUN
cana-2346	361	7	:	:	PUNCT
cana-2346	361	8	1074	1074	NUM
cana-2346	361	9	-	-	PUNCT
cana-2346	361	10	133x	133x	NUM
cana-2346	361	11	vol	vol	NOUN
cana-2346	361	12	32	32	NUM
cana-2346	361	13	no	no	NOUN
cana-2346	361	14	.	.	PUNCT
cana-2346	362	1	1s	1s	NUM
cana-2346	362	2	(	(	PUNCT
cana-2346	362	3	2025	2025	NUM
cana-2346	362	4	)	)	PUNCT
cana-2346	362	5	608	608	NUM
cana-2346	362	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	362	7	figure	figure	NOUN
cana-2346	362	8	18	18	NUM
cana-2346	362	9	predicted	predict	VERB
cana-2346	362	10	crops	crop	NOUN
cana-2346	362	11	by	by	ADP
cana-2346	362	12	different	different	ADJ
cana-2346	362	13	ml	ml	NOUN
cana-2346	362	14	models	model	NOUN
cana-2346	362	15	conclusions	conclusion	NOUN
cana-2346	362	16	the	the	DET
cana-2346	362	17	findings	finding	NOUN
cana-2346	362	18	of	of	ADP
cana-2346	362	19	this	this	DET
cana-2346	362	20	research	research	NOUN
cana-2346	362	21	emphasize	emphasize	VERB
cana-2346	362	22	the	the	DET
cana-2346	362	23	effectiveness	effectiveness	NOUN
cana-2346	362	24	and	and	CCONJ
cana-2346	362	25	strength	strength	NOUN
cana-2346	362	26	of	of	ADP
cana-2346	362	27	the	the	DET
cana-2346	362	28	combined	combine	VERB
cana-2346	362	29	crop	crop	NOUN
cana-2346	362	30	recommendation	recommendation	NOUN
cana-2346	362	31	system	system	NOUN
cana-2346	362	32	,	,	PUNCT
cana-2346	362	33	using	use	VERB
cana-2346	362	34	different	different	ADJ
cana-2346	362	35	machine	machine	NOUN
cana-2346	362	36	learning	learn	VERB
cana-2346	362	37	techniques	technique	NOUN
cana-2346	362	38	to	to	PART
cana-2346	362	39	forecast	forecast	VERB
cana-2346	362	40	appropriate	appropriate	ADJ
cana-2346	362	41	crops	crop	NOUN
cana-2346	362	42	according	accord	VERB
cana-2346	362	43	to	to	ADP
cana-2346	362	44	soil	soil	NOUN
cana-2346	362	45	and	and	CCONJ
cana-2346	362	46	environmental	environmental	ADJ
cana-2346	362	47	factors	factor	NOUN
cana-2346	362	48	.	.	PUNCT
cana-2346	363	1	by	by	ADP
cana-2346	363	2	carefully	carefully	ADV
cana-2346	363	3	examining	examine	VERB
cana-2346	363	4	the	the	DET
cana-2346	363	5	data	datum	NOUN
cana-2346	363	6	on	on	ADP
cana-2346	363	7	soil	soil	NOUN
cana-2346	363	8	characteristics	characteristic	NOUN
cana-2346	363	9	(	(	PUNCT
cana-2346	363	10	nitrogen	nitrogen	NOUN
cana-2346	363	11	,	,	PUNCT
cana-2346	363	12	phosphorous	phosphorous	ADJ
cana-2346	363	13	,	,	PUNCT
cana-2346	363	14	potassium	potassium	NOUN
cana-2346	363	15	)	)	PUNCT
cana-2346	363	16	and	and	CCONJ
cana-2346	363	17	environmental	environmental	ADJ
cana-2346	363	18	factors	factor	NOUN
cana-2346	363	19	(	(	PUNCT
cana-2346	363	20	temperature	temperature	NOUN
cana-2346	363	21	,	,	PUNCT
cana-2346	363	22	humidity	humidity	NOUN
cana-2346	363	23	,	,	PUNCT
cana-2346	363	24	ph	ph	NOUN
cana-2346	363	25	,	,	PUNCT
cana-2346	363	26	rainfall	rainfall	NOUN
cana-2346	363	27	)	)	PUNCT
cana-2346	363	28	we	we	PRON
cana-2346	363	29	were	be	AUX
cana-2346	363	30	able	able	ADJ
cana-2346	363	31	to	to	PART
cana-2346	363	32	uncover	uncover	VERB
cana-2346	363	33	deep	deep	ADJ
cana-2346	363	34	understanding	understanding	NOUN
cana-2346	363	35	of	of	ADP
cana-2346	363	36	the	the	DET
cana-2346	363	37	complex	complex	ADJ
cana-2346	363	38	connections	connection	NOUN
cana-2346	363	39	that	that	PRON
cana-2346	363	40	determine	determine	VERB
cana-2346	363	41	crop	crop	NOUN
cana-2346	363	42	compatibility	compatibility	NOUN
cana-2346	363	43	.	.	PUNCT
cana-2346	364	1	through	through	ADP
cana-2346	364	2	the	the	DET
cana-2346	364	3	use	use	NOUN
cana-2346	364	4	of	of	ADP
cana-2346	364	5	logistic	logistic	ADJ
cana-2346	364	6	regression	regression	NOUN
cana-2346	364	7	,	,	PUNCT
cana-2346	364	8	random	random	ADJ
cana-2346	364	9	forest	forest	NOUN
cana-2346	364	10	,	,	PUNCT
cana-2346	364	11	gradient	gradient	ADJ
cana-2346	364	12	boosting	boosting	NOUN
cana-2346	364	13	,	,	PUNCT
cana-2346	364	14	and	and	CCONJ
cana-2346	364	15	xgboost	xgboost	ADV
cana-2346	364	16	algorithms	algorithm	NOUN
cana-2346	364	17	,	,	PUNCT
cana-2346	364	18	specifically	specifically	ADV
cana-2346	364	19	tailored	tailor	VERB
cana-2346	364	20	to	to	PART
cana-2346	364	21	capture	capture	VERB
cana-2346	364	22	intricate	intricate	ADJ
cana-2346	364	23	relationships	relationship	NOUN
cana-2346	364	24	in	in	ADP
cana-2346	364	25	the	the	DET
cana-2346	364	26	dataset	dataset	NOUN
cana-2346	364	27	,	,	PUNCT
cana-2346	364	28	we	we	PRON
cana-2346	364	29	successfully	successfully	ADV
cana-2346	364	30	generated	generate	VERB
cana-2346	364	31	precise	precise	ADJ
cana-2346	364	32	and	and	CCONJ
cana-2346	364	33	dependable	dependable	ADJ
cana-2346	364	34	crop	crop	NOUN
cana-2346	364	35	suggestions	suggestion	NOUN
cana-2346	364	36	.	.	PUNCT
cana-2346	365	1	the	the	DET
cana-2346	365	2	machine	machine	NOUN
cana-2346	365	3	learning	learning	NOUN
cana-2346	365	4	models	model	NOUN
cana-2346	365	5	show	show	VERB
cana-2346	365	6	excellent	excellent	ADJ
cana-2346	365	7	performance	performance	NOUN
cana-2346	365	8	in	in	ADP
cana-2346	365	9	forecasting	forecast	VERB
cana-2346	365	10	crop	crop	NOUN
cana-2346	365	11	suitability	suitability	NOUN
cana-2346	365	12	based	base	VERB
cana-2346	365	13	on	on	ADP
cana-2346	365	14	high	high	ADJ
cana-2346	365	15	precision	precision	NOUN
cana-2346	365	16	,	,	PUNCT
cana-2346	365	17	recall	recall	NOUN
cana-2346	365	18	,	,	PUNCT
cana-2346	365	19	f1	f1	ADJ
cana-2346	365	20	-	-	PUNCT
cana-2346	365	21	score	score	NOUN
cana-2346	365	22	metrics	metric	NOUN
cana-2346	365	23	,	,	PUNCT
cana-2346	365	24	and	and	CCONJ
cana-2346	365	25	accuracy	accuracy	NOUN
cana-2346	365	26	measures	measure	NOUN
cana-2346	365	27	for	for	ADP
cana-2346	365	28	various	various	ADJ
cana-2346	365	29	crop	crop	NOUN
cana-2346	365	30	types	type	NOUN
cana-2346	365	31	.	.	PUNCT
cana-2346	366	1	the	the	DET
cana-2346	366	2	examination	examination	NOUN
cana-2346	366	3	of	of	ADP
cana-2346	366	4	these	these	DET
cana-2346	366	5	models	model	NOUN
cana-2346	366	6	showed	show	VERB
cana-2346	366	7	reliable	reliable	ADJ
cana-2346	366	8	and	and	CCONJ
cana-2346	366	9	strong	strong	ADJ
cana-2346	366	10	results	result	NOUN
cana-2346	366	11	,	,	PUNCT
cana-2346	366	12	emphasizing	emphasize	VERB
cana-2346	366	13	their	their	PRON
cana-2346	366	14	suitability	suitability	NOUN
cana-2346	366	15	for	for	ADP
cana-2346	366	16	practical	practical	ADJ
cana-2346	366	17	use	use	NOUN
cana-2346	366	18	in	in	ADP
cana-2346	366	19	agricultural	agricultural	ADJ
cana-2346	366	20	decision	decision	NOUN
cana-2346	366	21	-	-	PUNCT
cana-2346	366	22	making	making	NOUN
cana-2346	366	23	.	.	PUNCT
cana-2346	367	1	furthermore	furthermore	ADV
cana-2346	367	2	,	,	PUNCT
cana-2346	367	3	the	the	DET
cana-2346	367	4	assessment	assessment	NOUN
cana-2346	367	5	of	of	ADP
cana-2346	367	6	real	real	ADJ
cana-2346	367	7	and	and	CCONJ
cana-2346	367	8	forecasted	forecast	VERB
cana-2346	367	9	labels	label	NOUN
cana-2346	367	10	also	also	ADV
cana-2346	367	11	confirmed	confirm	VERB
cana-2346	367	12	the	the	DET
cana-2346	367	13	efficiency	efficiency	NOUN
cana-2346	367	14	of	of	ADP
cana-2346	367	15	the	the	DET
cana-2346	367	16	models	model	NOUN
cana-2346	367	17	,	,	PUNCT
cana-2346	367	18	presenting	present	VERB
cana-2346	367	19	concrete	concrete	ADJ
cana-2346	367	20	proof	proof	NOUN
cana-2346	367	21	of	of	ADP
cana-2346	367	22	their	their	PRON
cana-2346	367	23	predictive	predictive	ADJ
cana-2346	367	24	power	power	NOUN
cana-2346	367	25	.	.	PUNCT
cana-2346	368	1	moreover	moreover	ADV
cana-2346	368	2	,	,	PUNCT
cana-2346	368	3	the	the	DET
cana-2346	368	4	exploratory	exploratory	ADJ
cana-2346	368	5	data	datum	NOUN
cana-2346	368	6	analysis	analysis	NOUN
cana-2346	368	7	included	include	VERB
cana-2346	368	8	histograms	histogram	NOUN
cana-2346	368	9	and	and	CCONJ
cana-2346	368	10	bivariate	bivariate	ADJ
cana-2346	368	11	analyses	analysis	NOUN
cana-2346	368	12	which	which	PRON
cana-2346	368	13	enhanced	enhance	VERB
cana-2346	368	14	our	our	PRON
cana-2346	368	15	comprehension	comprehension	NOUN
cana-2346	368	16	of	of	ADP
cana-2346	368	17	the	the	DET
cana-2346	368	18	dataset	dataset	NOUN
cana-2346	368	19	by	by	ADP
cana-2346	368	20	illustrating	illustrate	VERB
cana-2346	368	21	distribution	distribution	NOUN
cana-2346	368	22	patterns	pattern	NOUN
cana-2346	368	23	and	and	CCONJ
cana-2346	368	24	variable	variable	ADJ
cana-2346	368	25	correlations	correlation	NOUN
cana-2346	368	26	.	.	PUNCT
cana-2346	369	1	these	these	DET
cana-2346	369	2	revelations	revelation	NOUN
cana-2346	369	3	not	not	PART
cana-2346	369	4	only	only	ADV
cana-2346	369	5	strengthened	strengthen	VERB
cana-2346	369	6	the	the	DET
cana-2346	369	7	trustworthiness	trustworthiness	NOUN
cana-2346	369	8	of	of	ADP
cana-2346	369	9	our	our	PRON
cana-2346	369	10	models	model	NOUN
cana-2346	369	11	but	but	CCONJ
cana-2346	369	12	also	also	ADV
cana-2346	369	13	offered	offer	VERB
cana-2346	369	14	important	important	ADJ
cana-2346	369	15	background	background	NOUN
cana-2346	369	16	for	for	ADP
cana-2346	369	17	understanding	understand	VERB
cana-2346	369	18	their	their	PRON
cana-2346	369	19	predictions	prediction	NOUN
cana-2346	369	20	.	.	PUNCT
cana-2346	370	1	our	our	PRON
cana-2346	370	2	research	research	NOUN
cana-2346	370	3	results	result	NOUN
cana-2346	370	4	have	have	VERB
cana-2346	370	5	important	important	ADJ
cana-2346	370	6	consequences	consequence	NOUN
cana-2346	370	7	for	for	ADP
cana-2346	370	8	farmers	farmer	NOUN
cana-2346	370	9	,	,	PUNCT
cana-2346	370	10	providing	provide	VERB
cana-2346	370	11	evidence	evidence	NOUN
cana-2346	370	12	-	-	PUNCT
cana-2346	370	13	based	base	VERB
cana-2346	370	14	suggestions	suggestion	NOUN
cana-2346	370	15	for	for	ADP
cana-2346	370	16	improving	improve	VERB
cana-2346	370	17	crop	crop	NOUN
cana-2346	370	18	choice	choice	NOUN
cana-2346	370	19	,	,	PUNCT
cana-2346	370	20	fertilization	fertilization	NOUN
cana-2346	370	21	techniques	technique	NOUN
cana-2346	370	22	,	,	PUNCT
cana-2346	370	23	and	and	CCONJ
cana-2346	370	24	irrigation	irrigation	NOUN
cana-2346	370	25	plans	plan	NOUN
cana-2346	370	26	.	.	PUNCT
cana-2346	371	1	utilizing	utilize	VERB
cana-2346	371	2	both	both	CCONJ
cana-2346	371	3	soil	soil	NOUN
cana-2346	371	4	and	and	CCONJ
cana-2346	371	5	environmental	environmental	ADJ
cana-2346	371	6	information	information	NOUN
cana-2346	371	7	in	in	ADP
cana-2346	371	8	a	a	DET
cana-2346	371	9	cohesive	cohesive	ADJ
cana-2346	371	10	recommendation	recommendation	NOUN
cana-2346	371	11	system	system	NOUN
cana-2346	371	12	enhances	enhance	VERB
cana-2346	371	13	decision	decision	NOUN
cana-2346	371	14	-	-	PUNCT
cana-2346	371	15	making	making	NOUN
cana-2346	371	16	,	,	PUNCT
cana-2346	371	17	leading	lead	VERB
cana-2346	371	18	to	to	ADP
cana-2346	371	19	better	well	ADJ
cana-2346	371	20	agricultural	agricultural	ADJ
cana-2346	371	21	productivity	productivity	NOUN
cana-2346	371	22	and	and	CCONJ
cana-2346	371	23	sustainability	sustainability	NOUN
cana-2346	371	24	outcomes	outcome	NOUN
cana-2346	371	25	.	.	PUNCT
cana-2346	372	1	to	to	PART
cana-2346	372	2	sum	sum	VERB
cana-2346	372	3	up	up	ADP
cana-2346	372	4	,	,	PUNCT
cana-2346	372	5	this	this	DET
cana-2346	372	6	research	research	NOUN
cana-2346	372	7	emphasizes	emphasize	VERB
cana-2346	372	8	how	how	SCONJ
cana-2346	372	9	machine	machine	NOUN
cana-2346	372	10	learning	learn	VERB
cana-2346	372	11	techniques	technique	NOUN
cana-2346	372	12	can	can	AUX
cana-2346	372	13	greatly	greatly	ADV
cana-2346	372	14	impact	impact	VERB
cana-2346	372	15	crop	crop	NOUN
cana-2346	372	16	suggestion	suggestion	NOUN
cana-2346	372	17	systems	system	NOUN
cana-2346	372	18	,	,	PUNCT
cana-2346	372	19	leading	lead	VERB
cana-2346	372	20	the	the	DET
cana-2346	372	21	pathway	pathway	NOUN
cana-2346	372	22	for	for	ADP
cana-2346	372	23	precise	precise	ADJ
cana-2346	372	24	farming	farming	NOUN
cana-2346	372	25	techniques	technique	NOUN
cana-2346	372	26	and	and	CCONJ
cana-2346	372	27	sustainable	sustainable	ADJ
cana-2346	372	28	agriculture	agriculture	NOUN
cana-2346	372	29	.	.	PUNCT
cana-2346	373	1	in	in	ADP
cana-2346	373	2	the	the	DET
cana-2346	373	3	future	future	NOUN
cana-2346	373	4	,	,	PUNCT
cana-2346	373	5	more	more	ADJ
cana-2346	373	6	research	research	NOUN
cana-2346	373	7	can	can	AUX
cana-2346	373	8	concentrate	concentrate	VERB
cana-2346	373	9	on	on	ADP
cana-2346	373	10	improving	improve	VERB
cana-2346	373	11	algorithms	algorithm	NOUN
cana-2346	373	12	,	,	PUNCT
cana-2346	373	13	adding	add	VERB
cana-2346	373	14	more	more	ADJ
cana-2346	373	15	data	datum	NOUN
cana-2346	373	16	sources	source	NOUN
cana-2346	373	17	,	,	PUNCT
cana-2346	373	18	and	and	CCONJ
cana-2346	373	19	improving	improve	VERB
cana-2346	373	20	the	the	DET
cana-2346	373	21	scalability	scalability	NOUN
cana-2346	373	22	and	and	CCONJ
cana-2346	373	23	usability	usability	NOUN
cana-2346	373	24	of	of	ADP
cana-2346	373	25	the	the	DET
cana-2346	373	26	recommendation	recommendation	NOUN
cana-2346	373	27	system	system	NOUN
cana-2346	373	28	to	to	PART
cana-2346	373	29	meet	meet	VERB
cana-2346	373	30	the	the	DET
cana-2346	373	31	changing	change	VERB
cana-2346	373	32	demands	demand	NOUN
cana-2346	373	33	of	of	ADP
cana-2346	373	34	the	the	DET
cana-2346	373	35	agricultural	agricultural	ADJ
cana-2346	373	36	industry	industry	NOUN
cana-2346	373	37	.	.	PUNCT
cana-2346	374	1	funding	funding	NOUN
cana-2346	374	2	:	:	PUNCT
cana-2346	374	3	there	there	PRON
cana-2346	374	4	was	be	VERB
cana-2346	374	5	no	no	DET
cana-2346	374	6	funding	funding	NOUN
cana-2346	374	7	for	for	ADP
cana-2346	374	8	this	this	DET
cana-2346	374	9	research	research	NOUN
cana-2346	374	10	.	.	PUNCT
cana-2346	375	1	conflict	conflict	NOUN
cana-2346	375	2	of	of	ADP
cana-2346	375	3	interest	interest	NOUN
cana-2346	375	4	:	:	PUNCT
cana-2346	375	5	the	the	DET
cana-2346	375	6	authors	author	NOUN
cana-2346	375	7	affirm	affirm	VERB
cana-2346	375	8	that	that	SCONJ
cana-2346	375	9	they	they	PRON
cana-2346	375	10	do	do	AUX
cana-2346	375	11	not	not	PART
cana-2346	375	12	have	have	VERB
cana-2346	375	13	any	any	DET
cana-2346	375	14	competing	compete	VERB
cana-2346	375	15	interests	interest	NOUN
cana-2346	375	16	.	.	PUNCT
cana-2346	376	1	ethics	ethic	NOUN
cana-2346	376	2	approval	approval	NOUN
cana-2346	376	3	:	:	PUNCT
cana-2346	376	4	this	this	DET
cana-2346	376	5	material	material	NOUN
cana-2346	376	6	is	be	AUX
cana-2346	376	7	the	the	DET
cana-2346	376	8	authors	author	NOUN
cana-2346	376	9	'	'	PART
cana-2346	376	10	own	own	ADJ
cana-2346	376	11	original	original	ADJ
cana-2346	376	12	work	work	NOUN
cana-2346	376	13	,	,	PUNCT
cana-2346	376	14	which	which	PRON
cana-2346	376	15	has	have	AUX
cana-2346	376	16	not	not	PART
cana-2346	376	17	been	be	AUX
cana-2346	376	18	previously	previously	ADV
cana-2346	376	19	published	publish	VERB
cana-2346	376	20	elsewhere	elsewhere	ADV
cana-2346	376	21	.	.	PUNCT
cana-2346	377	1	consent	consent	NOUN
cana-2346	377	2	to	to	PART
cana-2346	377	3	participate	participate	VERB
cana-2346	377	4	:	:	PUNCT
cana-2346	377	5	we	we	PRON
cana-2346	377	6	all	all	PRON
cana-2346	377	7	voluntarily	voluntarily	ADV
cana-2346	377	8	agreed	agree	VERB
cana-2346	377	9	to	to	PART
cana-2346	377	10	take	take	VERB
cana-2346	377	11	part	part	NOUN
cana-2346	377	12	in	in	ADP
cana-2346	377	13	this	this	DET
cana-2346	377	14	study	study	NOUN
cana-2346	377	15	.	.	PUNCT
cana-2346	378	1	communications	communication	NOUN
cana-2346	378	2	on	on	ADP
cana-2346	378	3	applied	apply	VERB
cana-2346	378	4	nonlinear	nonlinear	ADJ
cana-2346	378	5	analysis	analysis	NOUN
cana-2346	378	6	issn	issn	NOUN
cana-2346	378	7	:	:	PUNCT
cana-2346	378	8	1074	1074	NUM
cana-2346	378	9	-	-	PUNCT
cana-2346	378	10	133x	133x	NUM
cana-2346	378	11	vol	vol	NOUN
cana-2346	378	12	32	32	NUM
cana-2346	378	13	no	no	NOUN
cana-2346	378	14	.	.	PUNCT
cana-2346	379	1	1s	1s	NUM
cana-2346	379	2	(	(	PUNCT
cana-2346	379	3	2025	2025	NUM
cana-2346	379	4	)	)	PUNCT
cana-2346	379	5	609	609	NUM
cana-2346	379	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2346	379	7	consent	consent	NOUN
cana-2346	379	8	for	for	ADP
cana-2346	379	9	publication	publication	NOUN
cana-2346	379	10	:	:	PUNCT
cana-2346	379	11	we	we	PRON
cana-2346	379	12	are	be	AUX
cana-2346	379	13	agree	agree	VERB
cana-2346	379	14	with	with	ADP
cana-2346	379	15	all	all	DET
cana-2346	379	16	the	the	DET
cana-2346	379	17	publication	publication	NOUN
cana-2346	379	18	rules	rule	VERB
cana-2346	379	19	code	code	NOUN
cana-2346	379	20	availability	availability	NOUN
cana-2346	379	21	:	:	PUNCT
cana-2346	379	22	the	the	DET
cana-2346	379	23	code	code	NOUN
cana-2346	379	24	was	be	AUX
cana-2346	379	25	available	available	ADJ
cana-2346	379	26	with	with	ADP
cana-2346	379	27	the	the	DET
cana-2346	379	28	authors	author	NOUN
cana-2346	379	29	.	.	PUNCT
cana-2346	380	1	it	it	PRON
cana-2346	380	2	will	will	AUX
cana-2346	380	3	be	be	AUX
cana-2346	380	4	provided	provide	VERB
cana-2346	380	5	on	on	ADP
cana-2346	380	6	personal	personal	ADJ
cana-2346	380	7	request	request	NOUN
cana-2346	380	8	.	.	PUNCT
cana-2346	381	1	data	datum	NOUN
cana-2346	381	2	availability	availability	NOUN
cana-2346	381	3	:	:	PUNCT
cana-2346	381	4	the	the	DET
cana-2346	381	5	data	datum	NOUN
cana-2346	381	6	was	be	AUX
cana-2346	381	7	available	available	ADJ
cana-2346	381	8	with	with	ADP
cana-2346	381	9	the	the	DET
cana-2346	381	10	authors	author	NOUN
cana-2346	381	11	.	.	PUNCT
cana-2346	382	1	it	it	PRON
cana-2346	382	2	will	will	AUX
cana-2346	382	3	be	be	AUX
cana-2346	382	4	provided	provide	VERB
cana-2346	382	5	on	on	ADP
cana-2346	382	6	personal	personal	ADJ
cana-2346	382	7	request	request	NOUN
cana-2346	382	8	.	.	PUNCT
cana-2346	383	1	references	reference	NOUN
cana-2346	383	2	[	[	X
cana-2346	383	3	1	1	NUM
cana-2346	383	4	]	]	PUNCT
cana-2346	383	5	elbasi	elbasi	NOUN
cana-2346	383	6	,	,	PUNCT
cana-2346	383	7	ersin	ersin	NOUN
cana-2346	383	8	,	,	PUNCT
cana-2346	383	9	et	et	PROPN
cana-2346	383	10	al	al	PROPN
cana-2346	383	11	.	.	PROPN
cana-2346	383	12	(	(	PUNCT
cana-2346	383	13	2022	2022	NUM
cana-2346	383	14	)	)	PUNCT
cana-2346	383	15	.	.	PUNCT
cana-2346	384	1	artificial	artificial	ADJ
cana-2346	384	2	intelligence	intelligence	NOUN
cana-2346	384	3	technology	technology	NOUN
cana-2346	384	4	in	in	ADP
cana-2346	384	5	the	the	DET
cana-2346	384	6	agricultural	agricultural	ADJ
cana-2346	384	7	sector	sector	NOUN
cana-2346	384	8	:	:	PUNCT
cana-2346	384	9	a	a	DET
cana-2346	384	10	systematic	systematic	ADJ
cana-2346	384	11	literature	literature	NOUN
cana-2346	384	12	review	review	NOUN
cana-2346	384	13	.	.	PUNCT
cana-2346	385	1	ieee	ieee	NOUN
cana-2346	385	2	access	access	NOUN
cana-2346	385	3	,	,	PUNCT
cana-2346	385	4	11	11	NUM
cana-2346	385	5	,	,	PUNCT
cana-2346	385	6	171	171	NUM
cana-2346	385	7	-	-	SYM
cana-2346	385	8	202	202	NUM
cana-2346	385	9	.	.	PUNCT
cana-2346	386	1	doi	doi	NOUN
cana-2346	386	2	:	:	PUNCT
cana-2346	387	1	https://doi.org/10.1109/access.2022.3232485	https://doi.org/10.1109/access.2022.3232485	PROPN
cana-2346	387	2	[	[	X
cana-2346	387	3	2	2	NUM
cana-2346	387	4	]	]	PUNCT
cana-2346	387	5	senapaty	senapaty	NOUN
cana-2346	387	6	,	,	PUNCT
cana-2346	387	7	m.	m.	PROPN
cana-2346	387	8	k.	k.	PROPN
cana-2346	387	9	,	,	PUNCT
cana-2346	387	10	ray	ray	PROPN
cana-2346	387	11	,	,	PUNCT
cana-2346	387	12	a.	a.	PROPN
cana-2346	387	13	,	,	PUNCT
cana-2346	387	14	&	&	CCONJ
cana-2346	387	15	padhy	padhy	PROPN
cana-2346	387	16	,	,	PUNCT
cana-2346	387	17	n.	n.	NOUN
cana-2346	387	18	(	(	PUNCT
cana-2346	387	19	2024	2024	NUM
cana-2346	387	20	)	)	PUNCT
cana-2346	387	21	.	.	PUNCT
cana-2346	388	1	a	a	DET
cana-2346	388	2	decision	decision	NOUN
cana-2346	388	3	support	support	NOUN
cana-2346	388	4	system	system	NOUN
cana-2346	388	5	for	for	ADP
cana-2346	388	6	crop	crop	NOUN
cana-2346	388	7	recommendation	recommendation	NOUN
cana-2346	388	8	using	use	VERB
cana-2346	388	9	machine	machine	NOUN
cana-2346	388	10	learning	learn	VERB
cana-2346	388	11	classification	classification	NOUN
cana-2346	388	12	algorithms	algorithm	NOUN
cana-2346	388	13	.	.	PUNCT
cana-2346	389	1	agriculture	agriculture	NOUN
cana-2346	389	2	,	,	PUNCT
cana-2346	389	3	14(8	14(8	NUM
cana-2346	389	4	)	)	PUNCT
cana-2346	389	5	,	,	PUNCT
cana-2346	389	6	1256	1256	NUM
cana-2346	389	7	.	.	PUNCT
cana-2346	390	1	doi	doi	NOUN
cana-2346	390	2	:	:	PUNCT
cana-2346	390	3	https://doi.org/10.3390/agriculture14081256	https://doi.org/10.3390/agriculture14081256	PROPN
cana-2346	391	1	[	[	X
cana-2346	391	2	3	3	NUM
cana-2346	391	3	]	]	PUNCT
cana-2346	391	4	mavi	mavi	NOUN
cana-2346	391	5	,	,	PUNCT
cana-2346	391	6	h.	h.	PROPN
cana-2346	391	7	,	,	PUNCT
cana-2346	391	8	upadhyay	upadhyay	PROPN
cana-2346	391	9	,	,	PUNCT
cana-2346	391	10	s.	s.	PROPN
cana-2346	391	11	k.	k.	PROPN
cana-2346	391	12	,	,	PUNCT
cana-2346	391	13	srivastava	srivastava	PROPN
cana-2346	391	14	,	,	PUNCT
cana-2346	391	15	n.	n.	PROPN
cana-2346	391	16	,	,	PUNCT
cana-2346	391	17	sharma	sharma	PROPN
cana-2346	391	18	,	,	PUNCT
cana-2346	391	19	r.	r.	PROPN
cana-2346	391	20	,	,	PUNCT
cana-2346	391	21	&	&	CCONJ
cana-2346	391	22	bhargava	bhargava	PROPN
cana-2346	391	23	,	,	PUNCT
cana-2346	391	24	r.	r.	PROPN
cana-2346	391	25	(	(	PUNCT
cana-2346	391	26	2024	2024	NUM
cana-2346	391	27	)	)	PUNCT
cana-2346	391	28	.	.	PUNCT
cana-2346	392	1	crop	crop	NOUN
cana-2346	392	2	recommendation	recommendation	NOUN
cana-2346	392	3	system	system	NOUN
cana-2346	392	4	based	base	VERB
cana-2346	392	5	on	on	ADP
cana-2346	392	6	soil	soil	NOUN
cana-2346	392	7	quality	quality	NOUN
cana-2346	392	8	and	and	CCONJ
cana-2346	392	9	environmental	environmental	ADJ
cana-2346	392	10	factors	factor	NOUN
cana-2346	392	11	using	use	VERB
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cana-2346	394	2	-	-	SYM
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cana-2346	396	5	4	4	NUM
cana-2346	396	6	]	]	X
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cana-2346	396	19	,	,	PUNCT
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cana-2346	396	23	t.	t.	PROPN
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cana-2346	396	27	varma	varma	PROPN
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cana-2346	396	29	a.	a.	PROPN
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cana-2346	396	31	&	&	CCONJ
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cana-2346	396	37	2024	2024	NUM
cana-2346	396	38	,	,	PUNCT
cana-2346	396	39	february	february	PROPN
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cana-2346	396	41	.	.	PUNCT
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cana-2346	397	3	system	system	NOUN
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cana-2346	397	5	machine	machine	NOUN
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cana-2346	397	12	.	.	PUNCT
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cana-2346	398	8	communication	communication	NOUN
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cana-2346	398	11	.	.	PUNCT
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cana-2346	398	13	-	-	SYM
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cana-2346	398	15	)	)	PUNCT
cana-2346	398	16	.	.	PUNCT
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cana-2346	399	3	springer	springer	NOUN
cana-2346	399	4	nature	nature	PROPN
cana-2346	399	5	singapore	singapore	PROPN
cana-2346	399	6	.	.	PUNCT
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cana-2346	400	2	:	:	PUNCT
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cana-2346	401	2	5	5	NUM
cana-2346	401	3	]	]	PUNCT
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cana-2346	401	5	,	,	PUNCT
cana-2346	401	6	a.	a.	PROPN
cana-2346	401	7	,	,	PUNCT
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cana-2346	401	9	,	,	PUNCT
cana-2346	401	10	a.	a.	PROPN
cana-2346	401	11	,	,	PUNCT
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cana-2346	401	13	,	,	PUNCT
cana-2346	401	14	p.	p.	NOUN
cana-2346	401	15	,	,	PUNCT
cana-2346	401	16	&	&	CCONJ
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cana-2346	401	18	,	,	PUNCT
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cana-2346	401	22	)	)	PUNCT
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cana-2346	403	5	,	,	PUNCT
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cana-2346	403	7	-	-	SYM
cana-2346	403	8	4873	4873	NUM
cana-2346	403	9	.	.	PUNCT
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cana-2346	404	2	:	:	PUNCT
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cana-2346	407	5	40(3	40(3	NUM
cana-2346	407	6	)	)	PUNCT
cana-2346	407	7	,	,	PUNCT
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cana-2346	407	9	-	-	SYM
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cana-2346	407	11	.	.	PUNCT
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cana-2346	408	2	:	:	PUNCT
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cana-2346	410	2	disease	disease	NOUN
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cana-2346	411	7	)	)	PUNCT
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cana-2346	411	10	:	:	PUNCT
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cana-2346	411	13	8	8	NUM
cana-2346	411	14	]	]	SYM
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cana-2346	416	5	)	)	PUNCT
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cana-2346	418	2	10	10	NUM
cana-2346	418	3	]	]	PUNCT
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cana-2346	418	5	,	,	PUNCT
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cana-2346	420	7	)	)	PUNCT
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cana-2346	420	10	.	.	PUNCT
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cana-2346	422	2	11	11	NUM
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cana-2346	422	10	,	,	PUNCT
cana-2346	422	11	a.	a.	NOUN
cana-2346	422	12	(	(	PUNCT
cana-2346	422	13	2023	2023	NUM
cana-2346	422	14	)	)	PUNCT
cana-2346	422	15	.	.	PUNCT
cana-2346	423	1	crop	crop	NOUN
cana-2346	423	2	recommendation	recommendation	NOUN
cana-2346	423	3	system	system	NOUN
cana-2346	423	4	.	.	PUNCT
cana-2346	424	1	doi	doi	NOUN
cana-2346	424	2	:	:	PUNCT
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cana-2346	424	4	[	[	X
cana-2346	424	5	12	12	NUM
cana-2346	424	6	]	]	X
cana-2346	424	7	wang	wang	PROPN
cana-2346	424	8	,	,	PUNCT
cana-2346	424	9	j.	j.	PROPN
cana-2346	424	10	,	,	PUNCT
cana-2346	424	11	wang	wang	PROPN
cana-2346	424	12	,	,	PUNCT
cana-2346	424	13	y.	y.	PROPN
cana-2346	424	14	,	,	PUNCT
cana-2346	424	15	&	&	CCONJ
cana-2346	424	16	qi	qi	PROPN
cana-2346	424	17	,	,	PUNCT
cana-2346	424	18	z.	z.	PROPN
cana-2346	424	19	(	(	PUNCT
cana-2346	424	20	2024	2024	NUM
cana-2346	424	21	)	)	PUNCT
cana-2346	424	22	.	.	PUNCT
cana-2346	425	1	remote	remote	ADJ
cana-2346	425	2	sensing	sense	VERB
cana-2346	425	3	data	datum	NOUN
cana-2346	425	4	assimilation	assimilation	NOUN
cana-2346	425	5	in	in	ADP
cana-2346	425	6	crop	crop	NOUN
cana-2346	425	7	growth	growth	NOUN
cana-2346	425	8	modeling	modeling	NOUN
cana-2346	425	9	from	from	ADP
cana-2346	425	10	an	an	DET
cana-2346	425	11	agricultural	agricultural	ADJ
cana-2346	425	12	perspective	perspective	NOUN
cana-2346	425	13	:	:	PUNCT
cana-2346	425	14	new	new	ADJ
cana-2346	425	15	insights	insight	NOUN
cana-2346	425	16	on	on	ADP
cana-2346	425	17	challenges	challenge	NOUN
cana-2346	425	18	and	and	CCONJ
cana-2346	425	19	prospects	prospect	NOUN
cana-2346	425	20	.	.	PUNCT
cana-2346	426	1	agronomy	agronomy	NOUN
cana-2346	426	2	,	,	PUNCT
cana-2346	426	3	14(9	14(9	NUM
cana-2346	426	4	)	)	PUNCT
cana-2346	426	5	,	,	PUNCT
cana-2346	426	6	1920	1920	NUM
cana-2346	426	7	.	.	PUNCT
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cana-2346	427	2	:	:	PUNCT
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cana-2346	427	4	[	[	PUNCT
cana-2346	427	5	13	13	NUM
cana-2346	427	6	]	]	SYM
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cana-2346	427	9	n.	n.	NOUN
cana-2346	427	10	,	,	PUNCT
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cana-2346	427	13	h.	h.	PROPN
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cana-2346	427	15	&	&	CCONJ
cana-2346	427	16	kumar	kumar	PROPN
cana-2346	427	17	,	,	PUNCT
cana-2346	427	18	t.	t.	PROPN
cana-2346	427	19	(	(	PUNCT
cana-2346	427	20	2024	2024	NUM
cana-2346	427	21	)	)	PUNCT
cana-2346	427	22	.	.	PUNCT
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cana-2346	428	6	crop	crop	NOUN
cana-2346	428	7	suggestion	suggestion	NOUN
cana-2346	428	8	using	use	VERB
cana-2346	428	9	machine	machine	NOUN
cana-2346	428	10	learning	learning	NOUN
cana-2346	428	11	and	and	CCONJ
cana-2346	428	12	spatial	spatial	ADJ
cana-2346	428	13	multicriteria	multicriteria	PROPN
cana-2346	428	14	decision	decision	NOUN
cana-2346	428	15	analysis	analysis	NOUN
cana-2346	428	16	in	in	ADP
cana-2346	428	17	semi	semi	ADJ
cana-2346	428	18	-	-	ADJ
cana-2346	428	19	arid	arid	ADJ
cana-2346	428	20	ecosystem	ecosystem	NOUN
cana-2346	428	21	.	.	PUNCT
cana-2346	429	1	environment	environment	NOUN
cana-2346	429	2	,	,	PUNCT
cana-2346	429	3	development	development	NOUN
cana-2346	429	4	and	and	CCONJ
cana-2346	429	5	sustainability	sustainability	NOUN
cana-2346	429	6	,	,	PUNCT
cana-2346	429	7	1-38.doi	1-38.doi	NUM
cana-2346	429	8	:	:	PUNCT
cana-2346	429	9	https://doi.org/10.1007/s10668-023-04440-1	https://doi.org/10.1007/s10668-023-04440-1	NUM
cana-2346	430	1	[	[	X
cana-2346	430	2	14	14	NUM
cana-2346	430	3	]	]	SYM
cana-2346	430	4	li	li	PROPN
cana-2346	430	5	,	,	PUNCT
cana-2346	430	6	d.	d.	PROPN
cana-2346	430	7	,	,	PUNCT
cana-2346	430	8	miao	miao	PROPN
cana-2346	430	9	,	,	PUNCT
cana-2346	430	10	y.	y.	PROPN
cana-2346	430	11	,	,	PUNCT
cana-2346	430	12	gupta	gupta	PROPN
cana-2346	430	13	,	,	PUNCT
cana-2346	430	14	s.	s.	PROPN
cana-2346	430	15	k.	k.	PROPN
cana-2346	430	16	,	,	PUNCT
cana-2346	430	17	rosen	rosen	PROPN
cana-2346	430	18	,	,	PUNCT
cana-2346	430	19	c.	c.	PROPN
cana-2346	430	20	j.	j.	PROPN
cana-2346	430	21	,	,	PUNCT
cana-2346	430	22	yuan	yuan	PROPN
cana-2346	430	23	,	,	PUNCT
cana-2346	430	24	f.	f.	PROPN
cana-2346	430	25	,	,	PUNCT
cana-2346	430	26	wang	wang	PROPN
cana-2346	430	27	,	,	PUNCT
cana-2346	430	28	c.	c.	PROPN
cana-2346	430	29	,	,	PUNCT
cana-2346	430	30	...	...	PUNCT
cana-2346	430	31	&	&	CCONJ
cana-2346	430	32	huang	huang	PROPN
cana-2346	430	33	,	,	PUNCT
cana-2346	430	34	y.	y.	PROPN
cana-2346	430	35	(	(	PUNCT
cana-2346	430	36	2021	2021	NUM
cana-2346	430	37	)	)	PUNCT
cana-2346	430	38	.	.	PUNCT
cana-2346	431	1	improving	improve	VERB
cana-2346	431	2	potato	potato	NOUN
cana-2346	431	3	yield	yield	NOUN
cana-2346	431	4	prediction	prediction	NOUN
cana-2346	431	5	by	by	ADP
cana-2346	431	6	combining	combine	VERB
cana-2346	431	7	cultivar	cultivar	NOUN
cana-2346	431	8	information	information	NOUN
cana-2346	431	9	and	and	CCONJ
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cana-2346	431	16	learning	learning	NOUN
cana-2346	431	17	.	.	PUNCT
cana-2346	432	1	remote	remote	ADJ
cana-2346	432	2	sensing	sensing	NOUN
cana-2346	432	3	,	,	PUNCT
cana-2346	432	4	13(16	13(16	NUM
cana-2346	432	5	)	)	PUNCT
cana-2346	432	6	,	,	PUNCT
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cana-2346	432	8	.	.	PUNCT
cana-2346	433	1	doi	doi	NOUN
cana-2346	433	2	:	:	PUNCT
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cana-2346	434	3	]	]	X
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cana-2346	434	5	,	,	PUNCT
cana-2346	434	6	y.	y.	PROPN
cana-2346	434	7	,	,	PUNCT
cana-2346	434	8	kumar	kumar	PROPN
cana-2346	434	9	,	,	PUNCT
cana-2346	434	10	b.	b.	PROPN
cana-2346	434	11	s.	s.	PROPN
cana-2346	434	12	,	,	PUNCT
cana-2346	434	13	&	&	CCONJ
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cana-2346	434	15	,	,	PUNCT
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cana-2346	434	17	(	(	PUNCT
cana-2346	434	18	2023	2023	NUM
cana-2346	434	19	)	)	PUNCT
cana-2346	434	20	.	.	PUNCT
cana-2346	435	1	streamlit	streamlit	ADJ
cana-2346	435	2	application	application	NOUN
cana-2346	435	3	for	for	ADP
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cana-2346	435	8	in	in	ADP
cana-2346	435	9	crop	crop	NOUN
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cana-2346	435	12	–	–	PUNCT
cana-2346	435	13	a	a	DET
cana-2346	435	14	review	review	NOUN
cana-2346	435	15	and	and	CCONJ
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cana-2346	435	17	.	.	PUNCT
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cana-2346	436	7	,	,	PUNCT
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cana-2346	436	9	:	:	PUNCT
cana-2346	436	10	https://doi.org/10.17485/ijst/v16i48.2850	https://doi.org/10.17485/ijst/v16i48.2850	X
cana-2346	437	1	[	[	X
cana-2346	437	2	16	16	NUM
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cana-2346	437	13	,	,	PUNCT
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cana-2346	437	20	&	&	CCONJ
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cana-2346	437	26	)	)	PUNCT
cana-2346	437	27	.	.	PUNCT
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cana-2346	438	8	greenhouses	greenhouse	NOUN
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cana-2346	438	12	and	and	CCONJ
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cana-2346	438	14	crop	crop	NOUN
cana-2346	438	15	production	production	NOUN
cana-2346	438	16	.	.	PUNCT
cana-2346	439	1	journal	journal	NOUN
cana-2346	439	2	of	of	ADP
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cana-2346	439	5	,	,	PUNCT
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cana-2346	439	7	,	,	PUNCT
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cana-2346	439	9	:	:	PUNCT
cana-2346	439	10	https://doi.org/10.1016/j.jclepro.2020.124843	https://doi.org/10.1016/j.jclepro.2020.124843	PROPN
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cana-2346	440	1	https://doi.org/10.1109/access.2020.3048415	https://doi.org/10.1109/access.2020.3048415	PROPN
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cana-2346	440	5	https://doi.org/10.1002/agj2.21412	https://doi.org/10.1002/agj2.21412	PROPN
cana-2346	440	6	https://doi.org/10.1007/s00521-023-09391-2	https://doi.org/10.1007/s00521-023-09391-2	PROPN
cana-2346	440	7	https://doi.org/10.31224/2959	https://doi.org/10.31224/2959	VERB
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cana-2346	440	11	https://doi.org/10.17485/ijst/v16i48.2850	https://doi.org/10.17485/ijst/v16i48.2850	X
cana-2346	441	1	https://doi.org/10.1016/j.jclepro.2020.124843	https://doi.org/10.1016/j.jclepro.2020.124843	PROPN
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cana-2346	441	8	:	:	PUNCT
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cana-2346	441	10	-	-	PUNCT
cana-2346	441	11	133x	133x	NUM
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cana-2346	442	2	(	(	PUNCT
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cana-2346	442	4	)	)	PUNCT
cana-2346	442	5	610	610	NUM
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cana-2346	443	1	[	[	X
cana-2346	443	2	17	17	NUM
cana-2346	443	3	]	]	X
cana-2346	443	4	supriya	supriya	PROPN
cana-2346	443	5	,	,	PUNCT
cana-2346	443	6	m.	m.	NOUN
cana-2346	443	7	,	,	PUNCT
cana-2346	443	8	tyagi	tyagi	PROPN
cana-2346	443	9	,	,	PUNCT
cana-2346	443	10	a.	a.	PROPN
cana-2346	443	11	k.	k.	PROPN
cana-2346	443	12	,	,	PUNCT
cana-2346	443	13	&	&	CCONJ
cana-2346	443	14	tiwari	tiwari	PROPN
cana-2346	443	15	,	,	PUNCT
cana-2346	443	16	s.	s.	PROPN
cana-2346	443	17	(	(	PUNCT
cana-2346	443	18	2024	2024	NUM
cana-2346	443	19	)	)	PUNCT
cana-2346	443	20	.	.	PUNCT
cana-2346	444	1	sensor	sensor	NOUN
cana-2346	444	2	-	-	PUNCT
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cana-2346	444	6	systems	system	NOUN
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cana-2346	444	8	agricultural	agricultural	ADJ
cana-2346	444	9	activities	activity	NOUN
cana-2346	444	10	.	.	PUNCT
cana-2346	445	1	in	in	ADP
cana-2346	445	2	ai	ai	PROPN
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cana-2346	445	4	for	for	ADP
cana-2346	445	5	business	business	NOUN
cana-2346	445	6	,	,	PUNCT
cana-2346	445	7	medical	medical	ADJ
cana-2346	445	8	,	,	PUNCT
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cana-2346	445	12	(	(	PUNCT
cana-2346	445	13	pp	pp	ADJ
cana-2346	445	14	.	.	PUNCT
cana-2346	445	15	197	197	NUM
cana-2346	445	16	-	-	SYM
cana-2346	445	17	235	235	NUM
cana-2346	445	18	)	)	PUNCT
cana-2346	445	19	.	.	PUNCT
cana-2346	446	1	igi	igi	PROPN
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cana-2346	446	3	:	:	PUNCT
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cana-2346	446	5	-	-	SYM
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cana-2346	446	7	-	-	PUNCT
cana-2346	446	8	3693	3693	NUM
cana-2346	446	9	-	-	PUNCT
cana-2346	446	10	5266	5266	NUM
cana-2346	446	11	-	-	PUNCT
cana-2346	446	12	3.ch008	3.ch008	NOUN
cana-2346	446	13	[	[	X
cana-2346	446	14	18	18	NUM
cana-2346	446	15	]	]	PUNCT
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cana-2346	446	17	,	,	PUNCT
cana-2346	446	18	r.	r.	PROPN
cana-2346	446	19	,	,	PUNCT
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cana-2346	446	21	,	,	PUNCT
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cana-2346	446	30	,	,	PUNCT
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cana-2346	446	39	)	)	PUNCT
cana-2346	446	40	.	.	PUNCT
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cana-2346	447	2	learning	learning	NOUN
cana-2346	447	3	for	for	ADP
cana-2346	447	4	crop	crop	NOUN
cana-2346	447	5	management	management	NOUN
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cana-2346	447	7	:	:	PUNCT
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cana-2346	447	13	.	.	PUNCT
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cana-2346	448	8	,	,	PUNCT
cana-2346	448	9	107182	107182	NUM
cana-2346	448	10	.	.	PUNCT
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cana-2346	449	6	]	]	X
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cana-2346	449	8	,	,	PUNCT
cana-2346	449	9	w.	w.	PROPN
cana-2346	449	10	,	,	PUNCT
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cana-2346	450	4	for	for	ADP
cana-2346	450	5	wheat	wheat	NOUN
cana-2346	450	6	disease	disease	NOUN
cana-2346	450	7	classification	classification	NOUN
cana-2346	450	8	and	and	CCONJ
cana-2346	450	9	verification	verification	NOUN
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cana-2346	450	13	for	for	ADP
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cana-2346	450	18	.	.	PUNCT
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cana-2346	451	2	access	access	NOUN
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cana-2346	451	5	,	,	PUNCT
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cana-2346	451	7	:	:	PUNCT
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cana-2346	451	9	/	/	SYM
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cana-2346	452	2	20	20	NUM
cana-2346	452	3	]	]	SYM
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cana-2346	452	5	,	,	PUNCT
cana-2346	452	6	a.	a.	PROPN
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cana-2346	452	13	&	&	CCONJ
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cana-2346	452	17	(	(	PUNCT
cana-2346	452	18	2021	2021	NUM
cana-2346	452	19	)	)	PUNCT
cana-2346	452	20	.	.	PUNCT
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cana-2346	453	9	critic	critic	NOUN
cana-2346	453	10	–	–	PUNCT
cana-2346	453	11	vikor	vikor	ADJ
cana-2346	453	12	decision	decision	NOUN
cana-2346	453	13	-	-	PUNCT
cana-2346	453	14	making	make	VERB
cana-2346	453	15	framework	framework	NOUN
cana-2346	453	16	.	.	PUNCT
cana-2346	454	1	pythagorean	pythagorean	PROPN
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cana-2346	454	3	sets	set	NOUN
cana-2346	454	4	:	:	PUNCT
cana-2346	454	5	theory	theory	NOUN
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cana-2346	454	8	,	,	PUNCT
cana-2346	454	9	167	167	NUM
cana-2346	454	10	-	-	SYM
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cana-2346	454	12	.	.	PUNCT
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cana-2346	455	2	:	:	PUNCT
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cana-2346	456	3	]	]	SYM
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cana-2346	456	9	,	,	PUNCT
cana-2346	456	10	x.	x.	PROPN
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cana-2346	456	12	&	&	CCONJ
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cana-2346	456	14	,	,	PUNCT
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cana-2346	456	16	(	(	PUNCT
cana-2346	456	17	2024	2024	NUM
cana-2346	456	18	)	)	PUNCT
cana-2346	456	19	.	.	PUNCT
cana-2346	457	1	mapping	map	VERB
cana-2346	457	2	tobacco	tobacco	NOUN
cana-2346	457	3	planting	planting	NOUN
cana-2346	457	4	areas	area	NOUN
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cana-2346	457	10	-	-	PUNCT
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cana-2346	457	12	-	-	PUNCT
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cana-2346	457	16	time	time	NOUN
cana-2346	457	17	-	-	PUNCT
cana-2346	457	18	series	series	NOUN
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cana-2346	458	9	,	,	PUNCT
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cana-2346	458	11	,	,	PUNCT
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cana-2346	458	13	.	.	PUNCT
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cana-2346	459	2	:	:	PUNCT
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cana-2346	460	5	,	,	PUNCT
cana-2346	460	6	s.	s.	PROPN
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cana-2346	460	9	,	,	PUNCT
cana-2346	460	10	r.	r.	PROPN
cana-2346	460	11	,	,	PUNCT
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cana-2346	460	14	s.	s.	PROPN
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cana-2346	460	17	,	,	PUNCT
cana-2346	460	18	a.	a.	PROPN
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cana-2346	460	29	&	&	CCONJ
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cana-2346	460	34	(	(	PUNCT
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cana-2346	460	36	)	)	PUNCT
cana-2346	460	37	.	.	PUNCT
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cana-2346	462	5	,	,	PUNCT
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cana-2346	462	7	.	.	PUNCT
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cana-2346	463	2	:	:	PUNCT
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cana-2346	464	22	)	)	PUNCT
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cana-2346	465	9	:	:	PUNCT
cana-2346	465	10	a	a	DET
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cana-2346	465	13	agricultural	agricultural	ADJ
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cana-2346	465	15	-	-	PUNCT
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cana-2346	465	17	.	.	PUNCT
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cana-2346	466	5	,	,	PUNCT
cana-2346	466	6	36(11	36(11	NUM
cana-2346	466	7	)	)	PUNCT
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cana-2346	466	10	.	.	PUNCT
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cana-2346	471	2	:	:	PUNCT
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cana-2346	472	4	]	]	PUNCT
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cana-2346	473	7	based	base	VERB
cana-2346	473	8	on	on	ADP
cana-2346	473	9	soil	soil	NOUN
cana-2346	473	10	and	and	CCONJ
cana-2346	473	11	weather	weather	NOUN
cana-2346	473	12	patterns	pattern	NOUN
cana-2346	473	13	.	.	PUNCT
cana-2346	474	1	in	in	ADP
cana-2346	474	2	artificial	artificial	ADJ
cana-2346	474	3	intelligence	intelligence	NOUN
cana-2346	474	4	tools	tool	NOUN
cana-2346	474	5	and	and	CCONJ
cana-2346	474	6	technologies	technology	NOUN
cana-2346	474	7	for	for	ADP
cana-2346	474	8	smart	smart	ADJ
cana-2346	474	9	farming	farming	NOUN
cana-2346	474	10	and	and	CCONJ
cana-2346	474	11	agriculture	agriculture	NOUN
cana-2346	474	12	practices	practice	NOUN
cana-2346	474	13	(	(	PUNCT
cana-2346	474	14	pp	pp	ADJ
cana-2346	474	15	.	.	PUNCT
cana-2346	475	1	184	184	NUM
cana-2346	475	2	-	-	SYM
cana-2346	475	3	199	199	NUM
cana-2346	475	4	)	)	PUNCT
cana-2346	475	5	.	.	PUNCT
cana-2346	476	1	igi	igi	PROPN
cana-2346	476	2	global	global	PROPN
cana-2346	476	3	.	.	PUNCT
cana-2346	477	1	doi	doi	NOUN
cana-2346	477	2	:	:	PUNCT
cana-2346	477	3	10.4018/978	10.4018/978	NUM
cana-2346	477	4	-	-	SYM
cana-2346	477	5	1	1	NUM
cana-2346	477	6	-	-	PUNCT
cana-2346	477	7	6684	6684	NUM
cana-2346	477	8	-	-	PUNCT
cana-2346	477	9	8516	8516	NUM
cana-2346	477	10	-	-	PUNCT
cana-2346	477	11	3.ch010	3.ch010	NOUN
cana-2346	477	12	[	[	X
cana-2346	477	13	26	26	NUM
cana-2346	477	14	]	]	X
cana-2346	477	15	teixeira	teixeira	PROPN
cana-2346	477	16	,	,	PUNCT
cana-2346	477	17	i.	i.	PROPN
cana-2346	477	18	,	,	PUNCT
cana-2346	477	19	morais	morais	PROPN
cana-2346	477	20	,	,	PUNCT
cana-2346	477	21	r.	r.	PROPN
cana-2346	477	22	,	,	PUNCT
cana-2346	477	23	sousa	sousa	PROPN
cana-2346	477	24	,	,	PUNCT
cana-2346	477	25	j.	j.	PROPN
cana-2346	477	26	j.	j.	PROPN
cana-2346	477	27	,	,	PUNCT
cana-2346	477	28	&	&	CCONJ
cana-2346	477	29	cunha	cunha	NOUN
cana-2346	477	30	,	,	PUNCT
cana-2346	477	31	a.	a.	NOUN
cana-2346	477	32	(	(	PUNCT
cana-2346	477	33	2023	2023	NUM
cana-2346	477	34	)	)	PUNCT
cana-2346	477	35	.	.	PUNCT
cana-2346	478	1	deep	deep	ADJ
cana-2346	478	2	learning	learning	NOUN
cana-2346	478	3	models	model	NOUN
cana-2346	478	4	for	for	ADP
cana-2346	478	5	the	the	DET
cana-2346	478	6	classification	classification	NOUN
cana-2346	478	7	of	of	ADP
cana-2346	478	8	crops	crop	NOUN
cana-2346	478	9	in	in	ADP
cana-2346	478	10	aerial	aerial	ADJ
cana-2346	478	11	imagery	imagery	NOUN
cana-2346	478	12	:	:	PUNCT
cana-2346	478	13	a	a	DET
cana-2346	478	14	review	review	NOUN
cana-2346	478	15	.	.	PUNCT
cana-2346	479	1	agriculture	agriculture	NOUN
cana-2346	479	2	,	,	PUNCT
cana-2346	479	3	13(5	13(5	NUM
cana-2346	479	4	)	)	PUNCT
cana-2346	479	5	,	,	PUNCT
cana-2346	479	6	965	965	NUM
cana-2346	479	7	.	.	PUNCT
cana-2346	480	1	doi	doi	NOUN
cana-2346	480	2	:	:	PUNCT
cana-2346	480	3	https://doi.org/10.3390/agriculture13050965	https://doi.org/10.3390/agriculture13050965	PROPN
cana-2346	480	4	https://doi.org/10.1016/j.compag.2022.107182	https://doi.org/10.1016/j.compag.2022.107182	ADP
cana-2346	480	5	https://doi.org/10.1007/978-981-16-1989-2_7	https://doi.org/10.1007/978-981-16-1989-2_7	PROPN
cana-2346	480	6	https://doi.org/10.1016/j.jag.2024.103826	https://doi.org/10.1016/j.jag.2024.103826	PROPN
cana-2346	480	7	https://doi.org/10.1016/j.ecoinf.2023.102068	https://doi.org/10.1016/j.ecoinf.2023.102068	PROPN
cana-2346	480	8	https://doi.org/10.1007/s00521-023-09391-2	https://doi.org/10.1007/s00521-023-09391-2	NUM
cana-2346	481	1	https://doi.org/10.3389/fpls.2023.1234555	https://doi.org/10.3389/fpls.2023.1234555	PROPN
cana-2346	481	2	https://doi.org/10.3390/agriculture13050965	https://doi.org/10.3390/agriculture13050965	NOUN