id	sid	tid	token	lemma	pos
cana-3198	1	1	communications	communication	NOUN
cana-3198	1	2	on	on	ADP
cana-3198	1	3	applied	apply	VERB
cana-3198	1	4	nonlinear	nonlinear	ADJ
cana-3198	1	5	analysis	analysis	NOUN
cana-3198	1	6	issn	issn	NOUN
cana-3198	1	7	:	:	PUNCT
cana-3198	1	8	1074	1074	NUM
cana-3198	1	9	-	-	PUNCT
cana-3198	1	10	133x	133x	NUM
cana-3198	1	11	vol	vol	NOUN
cana-3198	1	12	32	32	NUM
cana-3198	1	13	no	no	NOUN
cana-3198	1	14	.	.	PUNCT
cana-3198	2	1	5s	5s	NUM
cana-3198	2	2	(	(	PUNCT
cana-3198	2	3	2025	2025	NUM
cana-3198	2	4	)	)	PUNCT
cana-3198	2	5	584	584	NUM
cana-3198	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3198	2	7	comparative	comparative	ADJ
cana-3198	2	8	analysis	analysis	NOUN
cana-3198	2	9	of	of	ADP
cana-3198	2	10	climate	climate	NOUN
cana-3198	2	11	-	-	PUNCT
cana-3198	2	12	smart	smart	ADJ
cana-3198	2	13	agriculture	agriculture	NOUN
cana-3198	2	14	for	for	ADP
cana-3198	2	15	marathwada	marathwada	PROPN
cana-3198	2	16	region	region	PROPN
cana-3198	2	17	using	use	VERB
cana-3198	2	18	machine	machine	NOUN
cana-3198	2	19	learning	learn	VERB
cana-3198	2	20	algorithms	algorithms	PROPN
cana-3198	2	21	ramdas	ramdas	PROPN
cana-3198	2	22	gore	gore	PROPN
cana-3198	2	23	a	a	PRON
cana-3198	2	24	,	,	PUNCT
cana-3198	2	25	siddharth	siddharth	PROPN
cana-3198	2	26	dabhadeb	dabhadeb	PROPN
cana-3198	2	27	,	,	PUNCT
cana-3198	2	28	himanshu	himanshu	PROPN
cana-3198	2	29	thakkarc	thakkarc	PROPN
cana-3198	2	30	,	,	PUNCT
cana-3198	2	31	santosh	santosh	PROPN
cana-3198	2	32	gaikwadd	gaikwadd	PROPN
cana-3198	2	33	,	,	PUNCT
cana-3198	2	34	mangesh	mangesh	ADJ
cana-3198	2	35	regee	regee	NOUN
cana-3198	2	36	,	,	PUNCT
cana-3198	2	37	bharti	bharti	PROPN
cana-3198	2	38	w.	w.	PROPN
cana-3198	2	39	gawalif	gawalif	PROPN
cana-3198	2	40	adr.ramdasgore@gmail.com	adr.ramdasgore@gmail.com	PROPN
cana-3198	2	41	,	,	PUNCT
cana-3198	2	42	bsiddharth.dabhade@nfsu.ac.in	bsiddharth.dabhade@nfsu.ac.in	X
cana-3198	2	43	,	,	PUNCT
cana-3198	2	44	chimanshu.thakkar@nfsu.ac.in	chimanshu.thakkar@nfsu.ac.in	NUM
cana-3198	2	45	,	,	PUNCT
cana-3198	2	46	dsantosh.gaikwadcsit@gmail.com	dsantosh.gaikwadcsit@gmail.com	X
cana-3198	2	47	,	,	PUNCT
cana-3198	2	48	eregemanngesh2007@gmail.com	eregemanngesh2007@gmail.com	X
cana-3198	3	1	fdrbhartirokade@gmail.com	fdrbhartirokade@gmail.com	X
cana-3198	4	1	a	a	PRON
cana-3198	4	2	,	,	PUNCT
cana-3198	4	3	b	b	NOUN
cana-3198	4	4	,	,	PUNCT
cana-3198	4	5	c	c	PROPN
cana-3198	4	6	school	school	NOUN
cana-3198	4	7	of	of	ADP
cana-3198	4	8	management	management	NOUN
cana-3198	4	9	studies	study	NOUN
cana-3198	4	10	,	,	PUNCT
cana-3198	4	11	national	national	PROPN
cana-3198	4	12	forensics	forensics	PROPN
cana-3198	4	13	sciences	sciences	PROPN
cana-3198	4	14	university	university	PROPN
cana-3198	4	15	,	,	PUNCT
cana-3198	4	16	gandhinagar	gandhinagar	NOUN
cana-3198	4	17	,	,	PUNCT
cana-3198	4	18	(	(	PUNCT
cana-3198	4	19	gujarat	gujarat	NOUN
cana-3198	4	20	,	,	PUNCT
cana-3198	4	21	india)-382007	india)-382007	PROPN
cana-3198	4	22	,	,	PUNCT
cana-3198	4	23	dschool	dschool	NOUN
cana-3198	4	24	of	of	ADP
cana-3198	4	25	basic	basic	ADJ
cana-3198	4	26	and	and	CCONJ
cana-3198	4	27	applied	apply	VERB
cana-3198	4	28	science	science	NOUN
cana-3198	4	29	,	,	PUNCT
cana-3198	4	30	jspm	jspm	PROPN
cana-3198	4	31	university	university	PROPN
cana-3198	4	32	,	,	PUNCT
cana-3198	4	33	pune	pune	NOUN
cana-3198	4	34	412207	412207	NUM
cana-3198	4	35	,	,	PUNCT
cana-3198	4	36	evivekanand	evivekanand	NOUN
cana-3198	4	37	arts	art	NOUN
cana-3198	4	38	sardar	sardar	PROPN
cana-3198	4	39	dalipsingh	dalipsingh	PROPN
cana-3198	4	40	commerce	commerce	PROPN
cana-3198	4	41	and	and	CCONJ
cana-3198	4	42	science	science	PROPN
cana-3198	4	43	college	college	PROPN
cana-3198	4	44	,	,	PUNCT
cana-3198	4	45	ch	ch	NOUN
cana-3198	4	46	.	.	PROPN
cana-3198	4	47	sambhajinagar	sambhajinagar	NOUN
cana-3198	4	48	(	(	PUNCT
cana-3198	4	49	maharashtra	maharashtra	PROPN
cana-3198	4	50	,	,	PUNCT
cana-3198	4	51	india)-431001	india)-431001	PROPN
cana-3198	4	52	,	,	PUNCT
cana-3198	4	53	fdepartment	fdepartment	NOUN
cana-3198	4	54	of	of	ADP
cana-3198	4	55	computer	computer	NOUN
cana-3198	4	56	science	science	NOUN
cana-3198	4	57	and	and	CCONJ
cana-3198	4	58	information	information	NOUN
cana-3198	4	59	technology	technology	NOUN
cana-3198	4	60	,	,	PUNCT
cana-3198	4	61	dr	dr	PROPN
cana-3198	4	62	.	.	PROPN
cana-3198	4	63	babasaheb	babasaheb	PROPN
cana-3198	4	64	ambedkar	ambedkar	PROPN
cana-3198	4	65	marathwada	marathwada	PROPN
cana-3198	4	66	university	university	PROPN
cana-3198	4	67	,	,	PUNCT
cana-3198	4	68	ch	ch	NOUN
cana-3198	4	69	.	.	PROPN
cana-3198	4	70	sambhajinagar	sambhajinagar	NOUN
cana-3198	4	71	(	(	PUNCT
cana-3198	4	72	maharashtra	maharashtra	PROPN
cana-3198	4	73	,	,	PUNCT
cana-3198	4	74	india)-431001	india)-431001	PROPN
cana-3198	4	75	article	article	NOUN
cana-3198	4	76	history	history	NOUN
cana-3198	4	77	:	:	PUNCT
cana-3198	4	78	received	receive	VERB
cana-3198	4	79	:	:	PUNCT
cana-3198	4	80	15	15	NUM
cana-3198	4	81	-	-	SYM
cana-3198	4	82	10	10	NUM
cana-3198	4	83	-	-	PUNCT
cana-3198	4	84	2024	2024	NUM
cana-3198	4	85	revised	revise	VERB
cana-3198	4	86	:	:	PUNCT
cana-3198	4	87	25	25	NUM
cana-3198	4	88	-	-	SYM
cana-3198	4	89	11	11	NUM
cana-3198	4	90	-	-	PUNCT
cana-3198	4	91	2024	2024	NUM
cana-3198	4	92	accepted	accept	VERB
cana-3198	4	93	:	:	PUNCT
cana-3198	4	94	11	11	NUM
cana-3198	4	95	-	-	SYM
cana-3198	4	96	12	12	NUM
cana-3198	4	97	-	-	PUNCT
cana-3198	4	98	2024	2024	NUM
cana-3198	4	99	abstract	abstract	NOUN
cana-3198	4	100	:	:	PUNCT
cana-3198	4	101	the	the	DET
cana-3198	4	102	economy	economy	NOUN
cana-3198	4	103	of	of	ADP
cana-3198	4	104	the	the	DET
cana-3198	4	105	indian	indian	ADJ
cana-3198	4	106	region	region	NOUN
cana-3198	4	107	known	know	VERB
cana-3198	4	108	as	as	ADP
cana-3198	4	109	marathwada	marathwada	PROPN
cana-3198	4	110	is	be	AUX
cana-3198	4	111	mostly	mostly	ADV
cana-3198	4	112	dependent	dependent	ADJ
cana-3198	4	113	on	on	ADP
cana-3198	4	114	agriculture	agriculture	NOUN
cana-3198	4	115	.	.	PUNCT
cana-3198	5	1	but	but	CCONJ
cana-3198	5	2	as	as	ADP
cana-3198	5	3	smart	smart	ADJ
cana-3198	5	4	agricultural	agricultural	ADJ
cana-3198	5	5	technology	technology	NOUN
cana-3198	5	6	advances	advance	NOUN
cana-3198	5	7	,	,	PUNCT
cana-3198	5	8	it	it	PRON
cana-3198	5	9	becomes	become	VERB
cana-3198	5	10	more	more	ADV
cana-3198	5	11	and	and	CCONJ
cana-3198	5	12	more	more	ADV
cana-3198	5	13	necessary	necessary	ADJ
cana-3198	5	14	to	to	PART
cana-3198	5	15	use	use	VERB
cana-3198	5	16	machine	machine	NOUN
cana-3198	5	17	learning	learn	VERB
cana-3198	5	18	algorithms	algorithm	NOUN
cana-3198	5	19	to	to	PART
cana-3198	5	20	enhance	enhance	VERB
cana-3198	5	21	decision	decision	NOUN
cana-3198	5	22	-	-	PUNCT
cana-3198	5	23	making	making	NOUN
cana-3198	5	24	and	and	CCONJ
cana-3198	5	25	maximize	maximize	VERB
cana-3198	5	26	resource	resource	NOUN
cana-3198	5	27	allocation	allocation	NOUN
cana-3198	5	28	.	.	PUNCT
cana-3198	6	1	this	this	DET
cana-3198	6	2	study	study	NOUN
cana-3198	6	3	conducts	conduct	VERB
cana-3198	6	4	a	a	DET
cana-3198	6	5	comprehensive	comprehensive	ADJ
cana-3198	6	6	comparative	comparative	ADJ
cana-3198	6	7	analysis	analysis	NOUN
cana-3198	6	8	of	of	ADP
cana-3198	6	9	various	various	ADJ
cana-3198	6	10	machine	machine	NOUN
cana-3198	6	11	learning	learn	VERB
cana-3198	6	12	classification	classification	NOUN
cana-3198	6	13	algorithms	algorithm	NOUN
cana-3198	6	14	to	to	PART
cana-3198	6	15	identify	identify	VERB
cana-3198	6	16	the	the	DET
cana-3198	6	17	most	most	ADV
cana-3198	6	18	suitable	suitable	ADJ
cana-3198	6	19	approach	approach	NOUN
cana-3198	6	20	for	for	ADP
cana-3198	6	21	addressing	address	VERB
cana-3198	6	22	agricultural	agricultural	ADJ
cana-3198	6	23	challenges	challenge	NOUN
cana-3198	6	24	in	in	ADP
cana-3198	6	25	the	the	DET
cana-3198	6	26	marathwada	marathwada	PROPN
cana-3198	6	27	region	region	NOUN
cana-3198	6	28	,	,	PUNCT
cana-3198	6	29	and	and	CCONJ
cana-3198	6	30	improve	improve	VERB
cana-3198	6	31	the	the	DET
cana-3198	6	32	crop	crop	NOUN
cana-3198	6	33	production	production	NOUN
cana-3198	6	34	.	.	PUNCT
cana-3198	7	1	the	the	DET
cana-3198	7	2	dataset	dataset	NOUN
cana-3198	7	3	includes	include	VERB
cana-3198	7	4	historical	historical	ADJ
cana-3198	7	5	yield	yield	NOUN
cana-3198	7	6	statistics	statistic	NOUN
cana-3198	7	7	,	,	PUNCT
cana-3198	7	8	crop	crop	NOUN
cana-3198	7	9	type	type	NOUN
cana-3198	7	10	,	,	PUNCT
cana-3198	7	11	soil	soil	NOUN
cana-3198	7	12	,	,	PUNCT
cana-3198	7	13	weather	weather	NOUN
cana-3198	7	14	,	,	PUNCT
cana-3198	7	15	and	and	CCONJ
cana-3198	7	16	other	other	ADJ
cana-3198	7	17	agricultural	agricultural	ADJ
cana-3198	7	18	characteristics	characteristic	NOUN
cana-3198	7	19	.	.	PUNCT
cana-3198	8	1	six	six	NUM
cana-3198	8	2	popular	popular	ADJ
cana-3198	8	3	classification	classification	NOUN
cana-3198	8	4	algorithms	algorithm	NOUN
cana-3198	8	5	are	be	AUX
cana-3198	8	6	used	use	VERB
cana-3198	8	7	for	for	ADP
cana-3198	8	8	climate	climate	NOUN
cana-3198	8	9	-	-	PUNCT
cana-3198	8	10	smart	smart	ADJ
cana-3198	8	11	agriculture	agriculture	NOUN
cana-3198	8	12	such	such	ADJ
cana-3198	8	13	as	as	ADP
cana-3198	8	14	logistic	logistic	ADJ
cana-3198	8	15	regression	regression	NOUN
cana-3198	8	16	,	,	PUNCT
cana-3198	8	17	random	random	ADJ
cana-3198	8	18	forest	forest	NOUN
cana-3198	8	19	,	,	PUNCT
cana-3198	8	20	support	support	NOUN
cana-3198	8	21	vector	vector	NOUN
cana-3198	8	22	machine	machine	NOUN
cana-3198	8	23	(	(	PUNCT
cana-3198	8	24	svm	svm	PROPN
cana-3198	8	25	)	)	PUNCT
cana-3198	8	26	,	,	PUNCT
cana-3198	8	27	k	k	X
cana-3198	8	28	-	-	PUNCT
cana-3198	8	29	nearest	near	ADJ
cana-3198	8	30	neighbors	neighbor	NOUN
cana-3198	8	31	(	(	PUNCT
cana-3198	8	32	knn	knn	PROPN
cana-3198	8	33	)	)	PUNCT
cana-3198	8	34	,	,	PUNCT
cana-3198	8	35	and	and	CCONJ
cana-3198	8	36	decision	decision	NOUN
cana-3198	8	37	tree	tree	NOUN
cana-3198	8	38	with	with	ADP
cana-3198	8	39	91	91	NUM
cana-3198	8	40	%	%	NOUN
cana-3198	8	41	,	,	PUNCT
cana-3198	8	42	96	96	NUM
cana-3198	8	43	%	%	NOUN
cana-3198	8	44	,	,	PUNCT
cana-3198	8	45	93	93	NUM
cana-3198	8	46	%	%	NOUN
cana-3198	8	47	,	,	PUNCT
cana-3198	8	48	89	89	NUM
cana-3198	8	49	%	%	NOUN
cana-3198	8	50	,	,	PUNCT
cana-3198	8	51	and	and	CCONJ
cana-3198	8	52	98	98	NUM
cana-3198	8	53	%	%	NOUN
cana-3198	8	54	accuracy	accuracy	NOUN
cana-3198	8	55	respectively	respectively	ADV
cana-3198	8	56	results	result	VERB
cana-3198	8	57	indicate	indicate	VERB
cana-3198	8	58	that	that	SCONJ
cana-3198	8	59	random	random	ADJ
cana-3198	8	60	forest	forest	NOUN
cana-3198	8	61	(	(	PUNCT
cana-3198	8	62	96	96	NUM
cana-3198	8	63	%	%	NOUN
cana-3198	8	64	)	)	PUNCT
cana-3198	8	65	and	and	CCONJ
cana-3198	8	66	decision	decision	NOUN
cana-3198	8	67	tree	tree	NOUN
cana-3198	8	68	(	(	PUNCT
cana-3198	8	69	98	98	NUM
cana-3198	8	70	%	%	NOUN
cana-3198	8	71	)	)	PUNCT
cana-3198	8	72	consistently	consistently	ADV
cana-3198	8	73	outperform	outperform	VERB
cana-3198	8	74	other	other	ADJ
cana-3198	8	75	algorithms	algorithm	NOUN
cana-3198	8	76	across	across	ADP
cana-3198	8	77	various	various	ADJ
cana-3198	8	78	metrics	metric	NOUN
cana-3198	8	79	.	.	PUNCT
cana-3198	9	1	decision	decision	NOUN
cana-3198	9	2	trees	tree	NOUN
cana-3198	9	3	are	be	AUX
cana-3198	9	4	quite	quite	ADV
cana-3198	9	5	good	good	ADJ
cana-3198	9	6	at	at	ADP
cana-3198	9	7	predicting	predict	VERB
cana-3198	9	8	agricultural	agricultural	ADJ
cana-3198	9	9	production	production	NOUN
cana-3198	9	10	because	because	SCONJ
cana-3198	9	11	of	of	ADP
cana-3198	9	12	its	its	PRON
cana-3198	9	13	ensemble	ensemble	ADJ
cana-3198	9	14	structure	structure	NOUN
cana-3198	9	15	and	and	CCONJ
cana-3198	9	16	ability	ability	NOUN
cana-3198	9	17	to	to	PART
cana-3198	9	18	handle	handle	VERB
cana-3198	9	19	complex	complex	ADJ
cana-3198	9	20	interactions	interaction	NOUN
cana-3198	9	21	within	within	ADP
cana-3198	9	22	the	the	DET
cana-3198	9	23	data	datum	NOUN
cana-3198	9	24	.	.	PUNCT
cana-3198	10	1	the	the	DET
cana-3198	10	2	study	study	NOUN
cana-3198	10	3	highlights	highlight	VERB
cana-3198	10	4	how	how	SCONJ
cana-3198	10	5	important	important	ADJ
cana-3198	10	6	feature	feature	NOUN
cana-3198	10	7	selection	selection	NOUN
cana-3198	10	8	and	and	CCONJ
cana-3198	10	9	preprocessing	preprocessing	NOUN
cana-3198	10	10	are	be	AUX
cana-3198	10	11	to	to	ADP
cana-3198	10	12	improving	improve	VERB
cana-3198	10	13	the	the	DET
cana-3198	10	14	efficiency	efficiency	NOUN
cana-3198	10	15	of	of	ADP
cana-3198	10	16	machine	machine	NOUN
cana-3198	10	17	learning	learn	VERB
cana-3198	10	18	algorithms	algorithm	NOUN
cana-3198	10	19	.	.	PUNCT
cana-3198	11	1	this	this	DET
cana-3198	11	2	comparison	comparison	NOUN
cana-3198	11	3	study	study	NOUN
cana-3198	11	4	offers	offer	VERB
cana-3198	11	5	insightful	insightful	ADJ
cana-3198	11	6	information	information	NOUN
cana-3198	11	7	about	about	ADP
cana-3198	11	8	which	which	DET
cana-3198	11	9	machine	machine	NOUN
cana-3198	11	10	learning	learn	VERB
cana-3198	11	11	classification	classification	NOUN
cana-3198	11	12	algorithms	algorithm	NOUN
cana-3198	11	13	are	be	AUX
cana-3198	11	14	most	most	ADV
cana-3198	11	15	suited	suited	ADJ
cana-3198	11	16	for	for	ADP
cana-3198	11	17	maximizing	maximize	VERB
cana-3198	11	18	smart	smart	ADJ
cana-3198	11	19	agricultural	agricultural	ADJ
cana-3198	11	20	techniques	technique	NOUN
cana-3198	11	21	in	in	ADP
cana-3198	11	22	the	the	DET
cana-3198	11	23	marathwada	marathwada	PROPN
cana-3198	11	24	area	area	NOUN
cana-3198	11	25	.	.	PUNCT
cana-3198	12	1	keywords	keyword	NOUN
cana-3198	12	2	:	:	PUNCT
cana-3198	12	3	climate	climate	VERB
cana-3198	12	4	smart	smart	ADJ
cana-3198	12	5	agriculture	agriculture	NOUN
cana-3198	12	6	;	;	PUNCT
cana-3198	12	7	machine	machine	NOUN
cana-3198	12	8	learning	learning	NOUN
cana-3198	12	9	algorithms	algorithm	NOUN
cana-3198	12	10	;	;	PUNCT
cana-3198	12	11	knn	knn	PROPN
cana-3198	12	12	;	;	PUNCT
cana-3198	12	13	svm	svm	ADJ
cana-3198	12	14	;	;	PUNCT
cana-3198	12	15	random	random	ADJ
cana-3198	12	16	forest	forest	NOUN
cana-3198	12	17	;	;	PUNCT
cana-3198	12	18	decision	decision	NOUN
cana-3198	12	19	tree	tree	NOUN
cana-3198	12	20	;	;	PUNCT
cana-3198	12	21	logistic	logistic	ADJ
cana-3198	12	22	regression	regression	NOUN
cana-3198	12	23	.	.	PUNCT
cana-3198	13	1	introduction	introduction	NOUN
cana-3198	13	2	climate	climate	NOUN
cana-3198	13	3	change	change	NOUN
cana-3198	13	4	is	be	AUX
cana-3198	13	5	the	the	DET
cana-3198	13	6	term	term	NOUN
cana-3198	13	7	used	use	VERB
cana-3198	13	8	to	to	PART
cana-3198	13	9	describe	describe	VERB
cana-3198	13	10	any	any	DET
cana-3198	13	11	significant	significant	ADJ
cana-3198	13	12	,	,	PUNCT
cana-3198	13	13	long	long	ADV
cana-3198	13	14	-	-	PUNCT
cana-3198	13	15	lasting	last	VERB
cana-3198	13	16	changes	change	NOUN
cana-3198	13	17	to	to	ADP
cana-3198	13	18	climatic	climatic	ADJ
cana-3198	13	19	phenomena	phenomenon	NOUN
cana-3198	13	20	.	.	PUNCT
cana-3198	14	1	generally	generally	ADV
cana-3198	14	2	speaking	speak	VERB
cana-3198	14	3	,	,	PUNCT
cana-3198	14	4	burning	burn	VERB
cana-3198	14	5	fossil	fossil	NOUN
cana-3198	14	6	fuels	fuel	NOUN
cana-3198	14	7	like	like	ADP
cana-3198	14	8	coal	coal	NOUN
cana-3198	14	9	,	,	PUNCT
cana-3198	14	10	oil	oil	NOUN
cana-3198	14	11	,	,	PUNCT
cana-3198	14	12	and	and	CCONJ
cana-3198	14	13	natural	natural	ADJ
cana-3198	14	14	gas	gas	NOUN
cana-3198	14	15	as	as	ADV
cana-3198	14	16	well	well	ADV
cana-3198	14	17	as	as	ADP
cana-3198	14	18	greenhouse	greenhouse	NOUN
cana-3198	14	19	gases	gas	NOUN
cana-3198	14	20	produced	produce	VERB
cana-3198	14	21	by	by	ADP
cana-3198	14	22	human	human	ADJ
cana-3198	14	23	activities	activity	NOUN
cana-3198	14	24	are	be	AUX
cana-3198	14	25	linked	link	VERB
cana-3198	14	26	to	to	ADP
cana-3198	14	27	the	the	DET
cana-3198	14	28	phenomena	phenomenon	NOUN
cana-3198	14	29	known	know	VERB
cana-3198	14	30	as	as	ADP
cana-3198	14	31	global	global	ADJ
cana-3198	14	32	warming	warming	NOUN
cana-3198	14	33	.	.	PUNCT
cana-3198	15	1	climate	climate	NOUN
cana-3198	15	2	change	change	NOUN
cana-3198	15	3	affects	affect	VERB
cana-3198	15	4	the	the	DET
cana-3198	15	5	ecology	ecology	NOUN
cana-3198	15	6	,	,	PUNCT
cana-3198	15	7	especially	especially	ADV
cana-3198	15	8	the	the	DET
cana-3198	15	9	soil	soil	NOUN
cana-3198	15	10	.	.	PUNCT
cana-3198	16	1	the	the	DET
cana-3198	16	2	soil	soil	NOUN
cana-3198	16	3	has	have	AUX
cana-3198	16	4	supplied	supply	VERB
cana-3198	16	5	the	the	DET
cana-3198	16	6	food	food	NOUN
cana-3198	16	7	and	and	CCONJ
cana-3198	16	8	fiber	fiber	NOUN
cana-3198	16	9	required	require	VERB
cana-3198	16	10	by	by	ADP
cana-3198	16	11	the	the	DET
cana-3198	16	12	growing	grow	VERB
cana-3198	16	13	human	human	ADJ
cana-3198	16	14	population	population	NOUN
cana-3198	16	15	worldwide	worldwide	ADV
cana-3198	16	16	.	.	PUNCT
cana-3198	17	1	on	on	ADP
cana-3198	17	2	the	the	DET
cana-3198	17	3	other	other	ADJ
cana-3198	17	4	hand	hand	NOUN
cana-3198	17	5	,	,	PUNCT
cana-3198	17	6	its	its	PRON
cana-3198	17	7	effects	effect	NOUN
cana-3198	17	8	on	on	ADP
cana-3198	17	9	soil	soil	NOUN
cana-3198	17	10	properties	property	NOUN
cana-3198	17	11	and	and	CCONJ
cana-3198	17	12	functions	function	NOUN
cana-3198	17	13	may	may	AUX
cana-3198	17	14	pose	pose	VERB
cana-3198	17	15	a	a	DET
cana-3198	17	16	danger	danger	NOUN
cana-3198	17	17	to	to	ADP
cana-3198	17	18	global	global	ADJ
cana-3198	17	19	food	food	NOUN
cana-3198	17	20	security	security	NOUN
cana-3198	17	21	.	.	PUNCT
cana-3198	18	1	if	if	SCONJ
cana-3198	18	2	the	the	DET
cana-3198	18	3	current	current	ADJ
cana-3198	18	4	pace	pace	NOUN
cana-3198	18	5	of	of	ADP
cana-3198	18	6	growth	growth	NOUN
cana-3198	18	7	is	be	AUX
cana-3198	18	8	sustained	sustain	VERB
cana-3198	18	9	,	,	PUNCT
cana-3198	18	10	global	global	ADJ
cana-3198	18	11	warming	warming	NOUN
cana-3198	18	12	would	would	AUX
cana-3198	18	13	surpass	surpass	VERB
cana-3198	18	14	1.5	1.5	NUM
cana-3198	18	15	°	°	NOUN
cana-3198	18	16	c	c	NOUN
cana-3198	18	17	between	between	ADP
cana-3198	18	18	2030	2030	NUM
cana-3198	18	19	and	and	CCONJ
cana-3198	18	20	2052	2052	NUM
cana-3198	19	1	[	[	X
cana-3198	19	2	1	1	NUM
cana-3198	19	3	]	]	PUNCT
cana-3198	19	4	.	.	PUNCT
cana-3198	20	1	soil	soil	NOUN
cana-3198	20	2	fertility	fertility	NOUN
cana-3198	20	3	and	and	CCONJ
cana-3198	20	4	output	output	NOUN
cana-3198	20	5	will	will	AUX
cana-3198	20	6	either	either	CCONJ
cana-3198	20	7	rebound	rebound	VERB
cana-3198	20	8	or	or	CCONJ
cana-3198	20	9	vanish	vanish	VERB
cana-3198	20	10	as	as	ADP
cana-3198	20	11	a	a	DET
cana-3198	20	12	result	result	NOUN
cana-3198	20	13	of	of	ADP
cana-3198	20	14	the	the	DET
cana-3198	20	15	anticipated	anticipate	VERB
cana-3198	20	16	global	global	ADJ
cana-3198	20	17	climate	climate	NOUN
cana-3198	20	18	change	change	NOUN
cana-3198	20	19	,	,	PUNCT
cana-3198	20	20	which	which	PRON
cana-3198	20	21	would	would	AUX
cana-3198	20	22	bring	bring	VERB
cana-3198	20	23	about	about	ADP
cana-3198	20	24	greater	great	ADJ
cana-3198	20	25	communications	communication	NOUN
cana-3198	20	26	on	on	ADP
cana-3198	20	27	applied	apply	VERB
cana-3198	20	28	nonlinear	nonlinear	ADJ
cana-3198	20	29	analysis	analysis	NOUN
cana-3198	20	30	issn	issn	NOUN
cana-3198	20	31	:	:	PUNCT
cana-3198	20	32	1074	1074	NUM
cana-3198	20	33	-	-	PUNCT
cana-3198	20	34	133x	133x	NUM
cana-3198	20	35	vol	vol	NOUN
cana-3198	20	36	32	32	NUM
cana-3198	20	37	no	no	NOUN
cana-3198	20	38	.	.	PUNCT
cana-3198	21	1	5s	5s	NUM
cana-3198	21	2	(	(	PUNCT
cana-3198	21	3	2025	2025	NUM
cana-3198	21	4	)	)	PUNCT
cana-3198	21	5	585	585	NUM
cana-3198	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3198	21	7	temperatures	temperature	NOUN
cana-3198	21	8	,	,	PUNCT
cana-3198	21	9	atmospheric	atmospheric	ADJ
cana-3198	21	10	co2	co2	NOUN
cana-3198	21	11	,	,	PUNCT
cana-3198	21	12	changed	change	VERB
cana-3198	21	13	rainfall	rainfall	NOUN
cana-3198	21	14	patterns	pattern	NOUN
cana-3198	21	15	,	,	PUNCT
cana-3198	21	16	and	and	CCONJ
cana-3198	21	17	increased	increase	VERB
cana-3198	21	18	atmospheric	atmospheric	ADJ
cana-3198	21	19	nitrogen	nitrogen	NOUN
cana-3198	21	20	deposition	deposition	NOUN
cana-3198	21	21	.	.	PUNCT
cana-3198	22	1	a	a	DET
cana-3198	22	2	few	few	ADJ
cana-3198	22	3	of	of	ADP
cana-3198	22	4	the	the	DET
cana-3198	22	5	characteristics	characteristic	NOUN
cana-3198	22	6	affected	affect	VERB
cana-3198	22	7	by	by	ADP
cana-3198	22	8	climate	climate	NOUN
cana-3198	22	9	change	change	NOUN
cana-3198	22	10	are	be	AUX
cana-3198	22	11	the	the	DET
cana-3198	22	12	soil	soil	NOUN
cana-3198	22	13	's	's	PART
cana-3198	22	14	hydrology	hydrology	NOUN
cana-3198	22	15	,	,	PUNCT
cana-3198	22	16	temperature	temperature	NOUN
cana-3198	22	17	patterns	pattern	NOUN
cana-3198	22	18	,	,	PUNCT
cana-3198	22	19	and	and	CCONJ
cana-3198	22	20	quantity	quantity	NOUN
cana-3198	22	21	of	of	ADP
cana-3198	22	22	organic	organic	ADJ
cana-3198	22	23	matter	matter	NOUN
cana-3198	22	24	.	.	PUNCT
cana-3198	23	1	each	each	PRON
cana-3198	23	2	of	of	ADP
cana-3198	23	3	these	these	DET
cana-3198	23	4	elements	element	NOUN
cana-3198	23	5	has	have	AUX
cana-3198	23	6	been	be	AUX
cana-3198	23	7	considered	consider	VERB
cana-3198	23	8	in	in	ADP
cana-3198	23	9	research	research	NOUN
cana-3198	23	10	on	on	ADP
cana-3198	23	11	the	the	DET
cana-3198	23	12	effects	effect	NOUN
cana-3198	23	13	of	of	ADP
cana-3198	23	14	climate	climate	NOUN
cana-3198	23	15	change	change	NOUN
cana-3198	23	16	on	on	ADP
cana-3198	23	17	soils	soil	NOUN
cana-3198	23	18	[	[	X
cana-3198	23	19	2	2	NUM
cana-3198	23	20	]	]	PUNCT
cana-3198	23	21	.	.	PUNCT
cana-3198	24	1	the	the	DET
cana-3198	24	2	rate	rate	NOUN
cana-3198	24	3	and	and	CCONJ
cana-3198	24	4	scope	scope	NOUN
cana-3198	24	5	of	of	ADP
cana-3198	24	6	climate	climate	NOUN
cana-3198	24	7	change	change	NOUN
cana-3198	24	8	are	be	AUX
cana-3198	24	9	major	major	ADJ
cana-3198	24	10	global	global	ADJ
cana-3198	24	11	concerns	concern	NOUN
cana-3198	24	12	,	,	PUNCT
cana-3198	24	13	particularly	particularly	ADV
cana-3198	24	14	in	in	ADP
cana-3198	24	15	light	light	NOUN
cana-3198	24	16	of	of	ADP
cana-3198	24	17	greenhouse	greenhouse	NOUN
cana-3198	24	18	gas	gas	NOUN
cana-3198	24	19	emissions	emission	NOUN
cana-3198	24	20	and	and	CCONJ
cana-3198	24	21	human	human	ADJ
cana-3198	24	22	activities	activity	NOUN
cana-3198	24	23	.	.	PUNCT
cana-3198	25	1	temperatures	temperature	NOUN
cana-3198	25	2	are	be	AUX
cana-3198	25	3	rising	rise	VERB
cana-3198	25	4	,	,	PUNCT
cana-3198	25	5	heat	heat	NOUN
cana-3198	25	6	retention	retention	NOUN
cana-3198	25	7	is	be	AUX
cana-3198	25	8	increasing	increase	VERB
cana-3198	25	9	,	,	PUNCT
cana-3198	25	10	and	and	CCONJ
cana-3198	25	11	there	there	PRON
cana-3198	25	12	is	be	VERB
cana-3198	25	13	significant	significant	ADJ
cana-3198	25	14	temporal	temporal	ADJ
cana-3198	25	15	and	and	CCONJ
cana-3198	25	16	geographical	geographical	ADJ
cana-3198	25	17	fluctuation	fluctuation	NOUN
cana-3198	25	18	.	.	PUNCT
cana-3198	26	1	the	the	DET
cana-3198	26	2	volume	volume	NOUN
cana-3198	26	3	and	and	CCONJ
cana-3198	26	4	force	force	NOUN
cana-3198	26	5	of	of	ADP
cana-3198	26	6	the	the	DET
cana-3198	26	7	rain	rain	NOUN
cana-3198	26	8	and	and	CCONJ
cana-3198	26	9	snow	snow	NOUN
cana-3198	26	10	are	be	AUX
cana-3198	26	11	two	two	NUM
cana-3198	26	12	characteristics	characteristic	NOUN
cana-3198	26	13	of	of	ADP
cana-3198	26	14	precipitation	precipitation	NOUN
cana-3198	26	15	.	.	PUNCT
cana-3198	27	1	variations	variation	NOUN
cana-3198	27	2	in	in	ADP
cana-3198	27	3	the	the	DET
cana-3198	27	4	temperature	temperature	NOUN
cana-3198	27	5	pattern	pattern	NOUN
cana-3198	27	6	also	also	ADV
cana-3198	27	7	have	have	VERB
cana-3198	27	8	a	a	DET
cana-3198	27	9	notable	notable	ADJ
cana-3198	27	10	influence	influence	NOUN
cana-3198	27	11	on	on	ADP
cana-3198	27	12	the	the	DET
cana-3198	27	13	regional	regional	ADJ
cana-3198	27	14	distribution	distribution	NOUN
cana-3198	27	15	pattern	pattern	NOUN
cana-3198	27	16	.	.	PUNCT
cana-3198	28	1	it	it	PRON
cana-3198	28	2	has	have	AUX
cana-3198	28	3	been	be	AUX
cana-3198	28	4	shown	show	VERB
cana-3198	28	5	that	that	SCONJ
cana-3198	28	6	stress	stress	NOUN
cana-3198	28	7	related	relate	VERB
cana-3198	28	8	to	to	ADP
cana-3198	28	9	soil	soil	NOUN
cana-3198	28	10	moisture	moisture	NOUN
cana-3198	28	11	reduces	reduce	VERB
cana-3198	28	12	plant	plant	NOUN
cana-3198	28	13	productivity	productivity	NOUN
cana-3198	28	14	and	and	CCONJ
cana-3198	28	15	hinders	hinder	VERB
cana-3198	28	16	soil	soil	NOUN
cana-3198	28	17	activities	activity	NOUN
cana-3198	28	18	.	.	PUNCT
cana-3198	29	1	significant	significant	ADJ
cana-3198	29	2	changes	change	NOUN
cana-3198	29	3	in	in	ADP
cana-3198	29	4	soil	soil	NOUN
cana-3198	29	5	physical	physical	ADJ
cana-3198	29	6	properties	property	NOUN
cana-3198	29	7	brought	bring	VERB
cana-3198	29	8	about	about	ADP
cana-3198	29	9	by	by	ADP
cana-3198	29	10	climate	climate	NOUN
cana-3198	29	11	change	change	NOUN
cana-3198	29	12	affect	affect	VERB
cana-3198	29	13	soil	soil	NOUN
cana-3198	29	14	fertility	fertility	NOUN
cana-3198	29	15	[	[	X
cana-3198	29	16	3	3	NUM
cana-3198	29	17	]	]	PUNCT
cana-3198	29	18	.	.	PUNCT
cana-3198	30	1	1.1	1.1	NUM
cana-3198	30	2	climate	climate	NOUN
cana-3198	30	3	smart	smart	ADJ
cana-3198	30	4	agriculture	agriculture	NOUN
cana-3198	30	5	(	(	PUNCT
cana-3198	30	6	csa	csa	NOUN
cana-3198	30	7	)	)	PUNCT
cana-3198	30	8	tools	tool	NOUN
cana-3198	30	9	and	and	CCONJ
cana-3198	30	10	practices	practice	NOUN
cana-3198	30	11	under	under	ADP
cana-3198	30	12	csa	csa	PROPN
cana-3198	30	13	,	,	PUNCT
cana-3198	30	14	organizations	organization	NOUN
cana-3198	30	15	,	,	PUNCT
cana-3198	30	16	technology	technology	NOUN
cana-3198	30	17	,	,	PUNCT
cana-3198	30	18	strategy	strategy	NOUN
cana-3198	30	19	,	,	PUNCT
cana-3198	30	20	and	and	CCONJ
cana-3198	30	21	investment	investment	NOUN
cana-3198	30	22	growth	growth	NOUN
cana-3198	30	23	are	be	AUX
cana-3198	30	24	all	all	ADV
cana-3198	30	25	combined	combine	VERB
cana-3198	30	26	.	.	PUNCT
cana-3198	31	1	in	in	ADP
cana-3198	31	2	addition	addition	NOUN
cana-3198	31	3	to	to	ADP
cana-3198	31	4	on	on	ADP
cana-3198	31	5	-	-	PUNCT
cana-3198	31	6	cultural	cultural	ADJ
cana-3198	31	7	mediations	mediation	NOUN
cana-3198	31	8	like	like	ADP
cana-3198	31	9	soil	soil	NOUN
cana-3198	31	10	fertilization	fertilization	NOUN
cana-3198	31	11	,	,	PUNCT
cana-3198	31	12	mulching	mulching	NOUN
cana-3198	31	13	,	,	PUNCT
cana-3198	31	14	intercropping	intercropping	NOUN
cana-3198	31	15	,	,	PUNCT
cana-3198	31	16	promoting	promote	VERB
cana-3198	31	17	enhanced	enhanced	ADJ
cana-3198	31	18	creatures	creature	NOUN
cana-3198	31	19	,	,	PUNCT
cana-3198	31	20	joining	join	VERB
cana-3198	31	21	drought	drought	NOUN
cana-3198	31	22	-	-	PUNCT
cana-3198	31	23	tolerant	tolerant	ADJ
cana-3198	31	24	harvesting	harvesting	NOUN
cana-3198	31	25	assortments	assortment	NOUN
cana-3198	31	26	,	,	PUNCT
cana-3198	31	27	and	and	CCONJ
cana-3198	31	28	shielding	shield	VERB
cana-3198	31	29	the	the	DET
cana-3198	31	30	atmosphere	atmosphere	NOUN
cana-3198	31	31	from	from	ADP
cana-3198	31	32	opportunities	opportunity	NOUN
cana-3198	31	33	,	,	PUNCT
cana-3198	31	34	it	it	PRON
cana-3198	31	35	has	have	AUX
cana-3198	31	36	included	include	VERB
cana-3198	31	37	off	off	ADP
cana-3198	31	38	-	-	PUNCT
cana-3198	31	39	cultural	cultural	ADJ
cana-3198	31	40	mediations	mediation	NOUN
cana-3198	31	41	like	like	ADP
cana-3198	31	42	carbon	carbon	NOUN
cana-3198	31	43	financing	financing	NOUN
cana-3198	31	44	,	,	PUNCT
cana-3198	31	45	developing	develop	VERB
cana-3198	31	46	efficient	efficient	ADJ
cana-3198	31	47	markets	market	NOUN
cana-3198	31	48	,	,	PUNCT
cana-3198	31	49	and	and	CCONJ
cana-3198	31	50	improving	improve	VERB
cana-3198	31	51	climate	climate	NOUN
cana-3198	31	52	estimation	estimation	NOUN
cana-3198	31	53	[	[	X
cana-3198	31	54	4	4	NUM
cana-3198	31	55	]	]	PUNCT
cana-3198	31	56	.	.	PUNCT
cana-3198	32	1	it	it	PRON
cana-3198	32	2	relates	relate	VERB
cana-3198	32	3	to	to	ADP
cana-3198	32	4	the	the	DET
cana-3198	32	5	issues	issue	NOUN
cana-3198	32	6	with	with	ADP
cana-3198	32	7	the	the	DET
cana-3198	32	8	mediation	mediation	NOUN
cana-3198	32	9	process	process	NOUN
cana-3198	32	10	as	as	ADV
cana-3198	32	11	well	well	ADV
cana-3198	32	12	.	.	PUNCT
cana-3198	33	1	higher	high	ADJ
cana-3198	33	2	yielding	yield	VERB
cana-3198	33	3	crop	crop	NOUN
cana-3198	33	4	varieties	variety	NOUN
cana-3198	33	5	,	,	PUNCT
cana-3198	33	6	droughttolerant	droughttolerant	ADJ
cana-3198	33	7	varieties	variety	NOUN
cana-3198	33	8	,	,	PUNCT
cana-3198	33	9	direct	direct	ADJ
cana-3198	33	10	-	-	PUNCT
cana-3198	33	11	seeded	seeded	ADJ
cana-3198	33	12	rice	rice	NOUN
cana-3198	33	13	,	,	PUNCT
cana-3198	33	14	water	water	NOUN
cana-3198	33	15	harvesting	harvesting	NOUN
cana-3198	33	16	,	,	PUNCT
cana-3198	33	17	water	water	NOUN
cana-3198	33	18	storage	storage	NOUN
cana-3198	33	19	,	,	PUNCT
cana-3198	33	20	laser	laser	NOUN
cana-3198	33	21	land	land	NOUN
cana-3198	33	22	leveling	leveling	NOUN
cana-3198	33	23	,	,	PUNCT
cana-3198	33	24	utilizing	utilize	VERB
cana-3198	33	25	a	a	DET
cana-3198	33	26	zero	zero	NUM
cana-3198	33	27	-	-	PUNCT
cana-3198	33	28	till	till	NOUN
cana-3198	33	29	drill	drill	NOUN
cana-3198	33	30	to	to	PART
cana-3198	33	31	minimize	minimize	VERB
cana-3198	33	32	tillage	tillage	NOUN
cana-3198	33	33	and	and	CCONJ
cana-3198	33	34	green	green	ADJ
cana-3198	33	35	seeker	seeker	NOUN
cana-3198	33	36	to	to	PART
cana-3198	33	37	handle	handle	VERB
cana-3198	33	38	nutrients	nutrient	NOUN
cana-3198	33	39	,	,	PUNCT
cana-3198	33	40	in	in	ADP
cana-3198	33	41	situ	situ	ADJ
cana-3198	33	42	moisture	moisture	NOUN
cana-3198	33	43	conservation	conservation	NOUN
cana-3198	33	44	,	,	PUNCT
cana-3198	33	45	leaf	leaf	NOUN
cana-3198	33	46	color	color	NOUN
cana-3198	33	47	chart	chart	NOUN
cana-3198	33	48	,	,	PUNCT
cana-3198	33	49	chlorophyll	chlorophyll	NOUN
cana-3198	33	50	meter	meter	NOUN
cana-3198	33	51	,	,	PUNCT
cana-3198	33	52	use	use	VERB
cana-3198	33	53	a	a	DET
cana-3198	33	54	torsiometer	torsiometer	NOUN
cana-3198	33	55	to	to	PART
cana-3198	33	56	regulate	regulate	VERB
cana-3198	33	57	irrigation	irrigation	NOUN
cana-3198	33	58	,	,	PUNCT
cana-3198	33	59	and	and	CCONJ
cana-3198	33	60	getting	get	VERB
cana-3198	33	61	weather	weather	NOUN
cana-3198	33	62	updates	update	NOUN
cana-3198	33	63	via	via	ADP
cana-3198	33	64	sms	sms	PROPN
cana-3198	33	65	are	be	AUX
cana-3198	33	66	just	just	ADV
cana-3198	33	67	a	a	DET
cana-3198	33	68	few	few	ADJ
cana-3198	33	69	of	of	ADP
cana-3198	33	70	the	the	DET
cana-3198	33	71	csa	csa	PROPN
cana-3198	33	72	practices	practice	NOUN
cana-3198	33	73	and	and	CCONJ
cana-3198	33	74	technologies	technology	NOUN
cana-3198	33	75	that	that	PRON
cana-3198	33	76	have	have	AUX
cana-3198	33	77	been	be	AUX
cana-3198	33	78	put	put	VERB
cana-3198	33	79	into	into	ADP
cana-3198	33	80	practice	practice	NOUN
cana-3198	33	81	.	.	PUNCT
cana-3198	34	1	the	the	DET
cana-3198	34	2	challenge	challenge	NOUN
cana-3198	34	3	in	in	ADP
cana-3198	34	4	agriculture	agriculture	NOUN
cana-3198	34	5	is	be	AUX
cana-3198	34	6	producing	produce	VERB
cana-3198	34	7	domestic	domestic	ADJ
cana-3198	34	8	harvests	harvest	NOUN
cana-3198	34	9	and	and	CCONJ
cana-3198	34	10	getting	get	VERB
cana-3198	34	11	the	the	DET
cana-3198	34	12	product	product	NOUN
cana-3198	34	13	to	to	ADP
cana-3198	34	14	the	the	DET
cana-3198	34	15	consumer	consumer	NOUN
cana-3198	34	16	at	at	ADP
cana-3198	34	17	the	the	DET
cana-3198	34	18	best	good	ADJ
cana-3198	34	19	price	price	NOUN
cana-3198	34	20	.	.	PUNCT
cana-3198	35	1	there	there	PRON
cana-3198	35	2	has	have	AUX
cana-3198	35	3	been	be	AUX
cana-3198	35	4	a	a	DET
cana-3198	35	5	significant	significant	ADJ
cana-3198	35	6	increase	increase	NOUN
cana-3198	35	7	in	in	ADP
cana-3198	35	8	the	the	DET
cana-3198	35	9	significance	significance	NOUN
cana-3198	35	10	of	of	ADP
cana-3198	35	11	monitoring	monitor	VERB
cana-3198	35	12	the	the	DET
cana-3198	35	13	ecological	ecological	ADJ
cana-3198	35	14	source	source	NOUN
cana-3198	35	15	.	.	PUNCT
cana-3198	36	1	for	for	ADP
cana-3198	36	2	a	a	DET
cana-3198	36	3	considerable	considerable	ADJ
cana-3198	36	4	amount	amount	NOUN
cana-3198	36	5	of	of	ADP
cana-3198	36	6	time	time	NOUN
cana-3198	36	7	,	,	PUNCT
cana-3198	36	8	most	most	ADJ
cana-3198	36	9	economies	economy	NOUN
cana-3198	36	10	have	have	AUX
cana-3198	36	11	been	be	AUX
cana-3198	36	12	heavily	heavily	ADV
cana-3198	36	13	dependent	dependent	ADJ
cana-3198	36	14	on	on	ADP
cana-3198	36	15	agriculture	agriculture	NOUN
cana-3198	36	16	[	[	X
cana-3198	36	17	5	5	NUM
cana-3198	36	18	]	]	PUNCT
cana-3198	36	19	.	.	PUNCT
cana-3198	37	1	a	a	DET
cana-3198	37	2	person	person	NOUN
cana-3198	37	3	uses	use	VERB
cana-3198	37	4	a	a	DET
cana-3198	37	5	consistent	consistent	ADJ
cana-3198	37	6	process	process	NOUN
cana-3198	37	7	to	to	PART
cana-3198	37	8	manually	manually	ADV
cana-3198	37	9	estimate	estimate	VERB
cana-3198	37	10	these	these	DET
cana-3198	37	11	variables	variable	NOUN
cana-3198	37	12	,	,	PUNCT
cana-3198	37	13	and	and	CCONJ
cana-3198	37	14	the	the	DET
cana-3198	37	15	manual	manual	ADJ
cana-3198	37	16	estimates	estimate	NOUN
cana-3198	37	17	are	be	AUX
cana-3198	37	18	verified	verify	VERB
cana-3198	37	19	daily	daily	ADV
cana-3198	37	20	.	.	PUNCT
cana-3198	38	1	csa	csa	PROPN
cana-3198	38	2	monitors	monitor	NOUN
cana-3198	38	3	temperature	temperature	NOUN
cana-3198	38	4	,	,	PUNCT
cana-3198	38	5	humidity	humidity	NOUN
cana-3198	38	6	,	,	PUNCT
cana-3198	38	7	soil	soil	NOUN
cana-3198	38	8	fertility	fertility	NOUN
cana-3198	38	9	,	,	PUNCT
cana-3198	38	10	and	and	CCONJ
cana-3198	38	11	soil	soil	NOUN
cana-3198	38	12	quality	quality	NOUN
cana-3198	38	13	using	use	VERB
cana-3198	38	14	remote	remote	ADJ
cana-3198	38	15	sensing	sensing	NOUN
cana-3198	38	16	,	,	PUNCT
cana-3198	38	17	gis	gis	PROPN
cana-3198	38	18	,	,	PUNCT
cana-3198	38	19	iot	iot	PROPN
cana-3198	38	20	devices	device	NOUN
cana-3198	38	21	,	,	PUNCT
cana-3198	38	22	and	and	CCONJ
cana-3198	38	23	the	the	DET
cana-3198	38	24	cloud	cloud	NOUN
cana-3198	38	25	in	in	ADP
cana-3198	38	26	order	order	NOUN
cana-3198	38	27	to	to	PART
cana-3198	38	28	boost	boost	VERB
cana-3198	38	29	horticultural	horticultural	ADJ
cana-3198	38	30	productivity	productivity	NOUN
cana-3198	38	31	.	.	PUNCT
cana-3198	39	1	because	because	SCONJ
cana-3198	39	2	to	to	PART
cana-3198	39	3	improvements	improvement	NOUN
cana-3198	39	4	in	in	ADP
cana-3198	39	5	iot	iot	ADJ
cana-3198	39	6	and	and	CCONJ
cana-3198	39	7	cloud	cloud	PROPN
cana-3198	39	8	computing	computing	NOUN
cana-3198	39	9	,	,	PUNCT
cana-3198	39	10	farmers	farmer	NOUN
cana-3198	39	11	now	now	ADV
cana-3198	39	12	view	view	VERB
cana-3198	39	13	smart	smart	ADJ
cana-3198	39	14	agriculture	agriculture	NOUN
cana-3198	39	15	as	as	ADP
cana-3198	39	16	a	a	DET
cana-3198	39	17	workable	workable	ADJ
cana-3198	39	18	answer	answer	NOUN
cana-3198	39	19	to	to	ADP
cana-3198	39	20	the	the	DET
cana-3198	39	21	horticultural	horticultural	ADJ
cana-3198	39	22	problems	problem	NOUN
cana-3198	39	23	they	they	PRON
cana-3198	39	24	face	face	VERB
cana-3198	39	25	(	(	PUNCT
cana-3198	39	26	fruit	fruit	NOUN
cana-3198	39	27	,	,	PUNCT
cana-3198	39	28	vegetable	vegetable	NOUN
cana-3198	39	29	,	,	PUNCT
cana-3198	39	30	potato	potato	NOUN
cana-3198	39	31	,	,	PUNCT
cana-3198	39	32	plantation	plantation	NOUN
cana-3198	39	33	,	,	PUNCT
cana-3198	39	34	and	and	CCONJ
cana-3198	39	35	spice	spice	NOUN
cana-3198	39	36	crops	crop	NOUN
cana-3198	39	37	,	,	PUNCT
cana-3198	39	38	among	among	ADP
cana-3198	39	39	other	other	ADJ
cana-3198	39	40	crops	crop	NOUN
cana-3198	39	41	)	)	PUNCT
cana-3198	40	1	[	[	X
cana-3198	40	2	6	6	NUM
cana-3198	40	3	]	]	X
cana-3198	40	4	[	[	X
cana-3198	40	5	7	7	X
cana-3198	40	6	]	]	X
cana-3198	40	7	[	[	X
cana-3198	40	8	8	8	NUM
cana-3198	40	9	]	]	PUNCT
cana-3198	40	10	.	.	PUNCT
cana-3198	41	1	the	the	DET
cana-3198	41	2	first	first	ADJ
cana-3198	41	3	agricultural	agricultural	ADJ
cana-3198	41	4	technology	technology	NOUN
cana-3198	41	5	was	be	AUX
cana-3198	41	6	the	the	DET
cana-3198	41	7	tractor	tractor	NOUN
cana-3198	41	8	.	.	PUNCT
cana-3198	42	1	as	as	SCONJ
cana-3198	42	2	demonstrated	demonstrate	VERB
cana-3198	42	3	in	in	ADP
cana-3198	42	4	figure	figure	NOUN
cana-3198	42	5	1	1	NUM
cana-3198	42	6	,	,	PUNCT
cana-3198	42	7	it	it	PRON
cana-3198	42	8	employs	employ	VERB
cana-3198	42	9	a	a	DET
cana-3198	42	10	lot	lot	NOUN
cana-3198	42	11	of	of	ADP
cana-3198	42	12	contemporary	contemporary	ADJ
cana-3198	42	13	agricultural	agricultural	ADJ
cana-3198	42	14	technologies	technology	NOUN
cana-3198	42	15	these	these	DET
cana-3198	42	16	days	day	NOUN
cana-3198	42	17	,	,	PUNCT
cana-3198	42	18	including	include	VERB
cana-3198	42	19	artificial	artificial	ADJ
cana-3198	42	20	intelligence	intelligence	NOUN
cana-3198	42	21	,	,	PUNCT
cana-3198	42	22	machine	machine	NOUN
cana-3198	42	23	learning	learning	NOUN
cana-3198	42	24	,	,	PUNCT
cana-3198	42	25	remote	remote	ADJ
cana-3198	42	26	sensing	sensing	NOUN
cana-3198	42	27	,	,	PUNCT
cana-3198	42	28	geographic	geographic	ADJ
cana-3198	42	29	information	information	NOUN
cana-3198	42	30	systems	system	NOUN
cana-3198	42	31	,	,	PUNCT
cana-3198	42	32	internet	internet	NOUN
cana-3198	42	33	of	of	ADP
cana-3198	42	34	things	thing	NOUN
cana-3198	42	35	,	,	PUNCT
cana-3198	42	36	and	and	CCONJ
cana-3198	42	37	many	many	ADJ
cana-3198	42	38	more	more	ADJ
cana-3198	42	39	methods	method	NOUN
cana-3198	42	40	.	.	PUNCT
cana-3198	43	1	it	it	PRON
cana-3198	43	2	makes	make	VERB
cana-3198	43	3	decision	decision	NOUN
cana-3198	43	4	-	-	PUNCT
cana-3198	43	5	making	making	NOUN
cana-3198	43	6	easier	easy	ADJ
cana-3198	43	7	,	,	PUNCT
cana-3198	43	8	saves	save	VERB
cana-3198	43	9	time	time	NOUN
cana-3198	43	10	,	,	PUNCT
cana-3198	43	11	boosts	boost	VERB
cana-3198	43	12	output	output	NOUN
cana-3198	43	13	,	,	PUNCT
cana-3198	43	14	improves	improve	VERB
cana-3198	43	15	crop	crop	NOUN
cana-3198	43	16	quality	quality	NOUN
cana-3198	43	17	,	,	PUNCT
cana-3198	43	18	and	and	CCONJ
cana-3198	43	19	,	,	PUNCT
cana-3198	43	20	in	in	ADP
cana-3198	43	21	an	an	DET
cana-3198	43	22	emergency	emergency	NOUN
cana-3198	43	23	,	,	PUNCT
cana-3198	43	24	uses	use	VERB
cana-3198	43	25	backup	backup	NOUN
cana-3198	43	26	plans	plan	NOUN
cana-3198	43	27	[	[	X
cana-3198	43	28	9	9	NUM
cana-3198	43	29	]	]	PUNCT
cana-3198	43	30	.	.	PUNCT
cana-3198	44	1	communications	communication	NOUN
cana-3198	44	2	on	on	ADP
cana-3198	44	3	applied	apply	VERB
cana-3198	44	4	nonlinear	nonlinear	ADJ
cana-3198	44	5	analysis	analysis	NOUN
cana-3198	44	6	issn	issn	NOUN
cana-3198	44	7	:	:	PUNCT
cana-3198	44	8	1074	1074	NUM
cana-3198	44	9	-	-	PUNCT
cana-3198	44	10	133x	133x	NUM
cana-3198	44	11	vol	vol	NOUN
cana-3198	44	12	32	32	NUM
cana-3198	44	13	no	no	NOUN
cana-3198	44	14	.	.	PUNCT
cana-3198	45	1	5s	5s	NUM
cana-3198	45	2	(	(	PUNCT
cana-3198	45	3	2025	2025	NUM
cana-3198	45	4	)	)	PUNCT
cana-3198	45	5	586	586	NUM
cana-3198	45	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3198	45	7	figure	figure	NOUN
cana-3198	45	8	1	1	NUM
cana-3198	45	9	.	.	PUNCT
cana-3198	46	1	a	a	X
cana-3198	46	2	)	)	PUNCT
cana-3198	46	3	traditional	traditional	ADJ
cana-3198	46	4	agriculture	agriculture	NOUN
cana-3198	46	5	b	b	X
cana-3198	46	6	)	)	PUNCT
cana-3198	46	7	smart	smart	ADJ
cana-3198	46	8	agriculture	agriculture	NOUN
cana-3198	46	9	cultivating	cultivate	VERB
cana-3198	46	10	is	be	AUX
cana-3198	46	11	a	a	DET
cana-3198	46	12	politically	politically	ADV
cana-3198	46	13	difficult	difficult	ADJ
cana-3198	46	14	field	field	NOUN
cana-3198	46	15	for	for	ADP
cana-3198	46	16	a	a	DET
cana-3198	46	17	variety	variety	NOUN
cana-3198	46	18	of	of	ADP
cana-3198	46	19	reasons	reason	NOUN
cana-3198	46	20	,	,	PUNCT
cana-3198	46	21	including	include	VERB
cana-3198	46	22	the	the	DET
cana-3198	46	23	public	public	NOUN
cana-3198	46	24	's	's	PART
cana-3198	46	25	expectation	expectation	NOUN
cana-3198	46	26	that	that	SCONJ
cana-3198	46	27	the	the	DET
cana-3198	46	28	country	country	NOUN
cana-3198	46	29	district	district	NOUN
cana-3198	46	30	generate	generate	VERB
cana-3198	46	31	an	an	DET
cana-3198	46	32	adequate	adequate	ADJ
cana-3198	46	33	supply	supply	NOUN
cana-3198	46	34	while	while	SCONJ
cana-3198	46	35	curbing	curb	VERB
cana-3198	46	36	rising	rise	VERB
cana-3198	46	37	interest	interest	NOUN
cana-3198	46	38	.	.	PUNCT
cana-3198	47	1	the	the	DET
cana-3198	47	2	application	application	NOUN
cana-3198	47	3	of	of	ADP
cana-3198	47	4	artificial	artificial	ADJ
cana-3198	47	5	intelligence	intelligence	NOUN
cana-3198	47	6	,	,	PUNCT
cana-3198	47	7	machine	machine	NOUN
cana-3198	47	8	learning	learning	NOUN
cana-3198	47	9	,	,	PUNCT
cana-3198	47	10	iot	iot	ADJ
cana-3198	47	11	,	,	PUNCT
cana-3198	47	12	remote	remote	ADJ
cana-3198	47	13	sensing	sensing	NOUN
cana-3198	47	14	,	,	PUNCT
cana-3198	47	15	and	and	CCONJ
cana-3198	47	16	geographic	geographic	ADJ
cana-3198	47	17	information	information	NOUN
cana-3198	47	18	systems	system	NOUN
cana-3198	47	19	(	(	PUNCT
cana-3198	47	20	gis	gis	NOUN
cana-3198	47	21	)	)	PUNCT
cana-3198	47	22	to	to	ADP
cana-3198	47	23	massive	massive	ADJ
cana-3198	47	24	data	datum	NOUN
cana-3198	47	25	analysis	analysis	NOUN
cana-3198	47	26	and	and	CCONJ
cana-3198	47	27	forecasts	forecast	NOUN
cana-3198	47	28	about	about	ADP
cana-3198	47	29	the	the	DET
cana-3198	47	30	effects	effect	NOUN
cana-3198	47	31	of	of	ADP
cana-3198	47	32	climate	climate	NOUN
cana-3198	47	33	change	change	NOUN
cana-3198	47	34	on	on	ADP
cana-3198	47	35	crops	crop	NOUN
cana-3198	47	36	and	and	CCONJ
cana-3198	47	37	farming	farming	NOUN
cana-3198	47	38	techniques	technique	NOUN
cana-3198	47	39	is	be	AUX
cana-3198	47	40	beneficial	beneficial	ADJ
cana-3198	47	41	to	to	ADP
cana-3198	47	42	the	the	DET
cana-3198	47	43	csa	csa	PROPN
cana-3198	48	1	[	[	X
cana-3198	48	2	10	10	NUM
cana-3198	48	3	]	]	X
cana-3198	49	1	[	[	X
cana-3198	49	2	11	11	NUM
cana-3198	49	3	]	]	PUNCT
cana-3198	49	4	.	.	PUNCT
cana-3198	50	1	crop	crop	NOUN
cana-3198	50	2	modeling	modeling	NOUN
cana-3198	50	3	,	,	PUNCT
cana-3198	50	4	how	how	SCONJ
cana-3198	50	5	crops	crop	NOUN
cana-3198	50	6	will	will	AUX
cana-3198	50	7	develop	develop	VERB
cana-3198	50	8	under	under	ADP
cana-3198	50	9	various	various	ADJ
cana-3198	50	10	climatic	climatic	ADJ
cana-3198	50	11	conditions	condition	NOUN
cana-3198	50	12	.	.	PUNCT
cana-3198	51	1	these	these	DET
cana-3198	51	2	models	model	NOUN
cana-3198	51	3	forecast	forecast	VERB
cana-3198	51	4	variations	variation	NOUN
cana-3198	51	5	in	in	ADP
cana-3198	51	6	yields	yield	NOUN
cana-3198	51	7	and	and	CCONJ
cana-3198	51	8	pinpoint	pinpoint	VERB
cana-3198	51	9	the	the	DET
cana-3198	51	10	best	good	ADJ
cana-3198	51	11	times	time	NOUN
cana-3198	51	12	to	to	PART
cana-3198	51	13	plant	plant	VERB
cana-3198	51	14	,	,	PUNCT
cana-3198	51	15	what	what	DET
cana-3198	51	16	kinds	kind	NOUN
cana-3198	51	17	of	of	ADP
cana-3198	51	18	crops	crop	NOUN
cana-3198	51	19	to	to	PART
cana-3198	51	20	grow	grow	VERB
cana-3198	51	21	,	,	PUNCT
cana-3198	51	22	and	and	CCONJ
cana-3198	51	23	how	how	SCONJ
cana-3198	51	24	to	to	PART
cana-3198	51	25	water	water	VERB
cana-3198	51	26	them	they	PRON
cana-3198	51	27	in	in	ADP
cana-3198	51	28	order	order	NOUN
cana-3198	51	29	to	to	PART
cana-3198	51	30	increase	increase	VERB
cana-3198	51	31	output	output	NOUN
cana-3198	51	32	under	under	ADP
cana-3198	51	33	various	various	ADJ
cana-3198	51	34	climatic	climatic	ADJ
cana-3198	51	35	circumstances	circumstance	NOUN
cana-3198	51	36	.	.	PUNCT
cana-3198	52	1	patterns	pattern	NOUN
cana-3198	52	2	and	and	CCONJ
cana-3198	52	3	correlations	correlation	NOUN
cana-3198	52	4	in	in	ADP
cana-3198	52	5	historical	historical	ADJ
cana-3198	52	6	climatic	climatic	ADJ
cana-3198	52	7	data	datum	NOUN
cana-3198	52	8	,	,	PUNCT
cana-3198	52	9	soil	soil	NOUN
cana-3198	52	10	properties	property	NOUN
cana-3198	52	11	,	,	PUNCT
cana-3198	52	12	and	and	CCONJ
cana-3198	52	13	other	other	ADJ
cana-3198	52	14	factors	factor	NOUN
cana-3198	52	15	impacting	impact	VERB
cana-3198	52	16	crop	crop	NOUN
cana-3198	52	17	growth	growth	NOUN
cana-3198	52	18	and	and	CCONJ
cana-3198	52	19	production	production	NOUN
cana-3198	52	20	are	be	AUX
cana-3198	52	21	found	find	VERB
cana-3198	52	22	using	use	VERB
cana-3198	52	23	ai	ai	NOUN
cana-3198	52	24	and	and	CCONJ
cana-3198	52	25	machine	machine	NOUN
cana-3198	52	26	learning	learn	VERB
cana-3198	52	27	algorithms	algorithm	NOUN
cana-3198	53	1	[	[	X
cana-3198	53	2	12	12	NUM
cana-3198	53	3	]	]	X
cana-3198	54	1	[	[	X
cana-3198	54	2	13	13	NUM
cana-3198	54	3	]	]	SYM
cana-3198	54	4	.	.	PUNCT
cana-3198	55	1	2	2	X
cana-3198	55	2	.	.	X
cana-3198	55	3	study	study	NOUN
cana-3198	55	4	area	area	NOUN
cana-3198	55	5	and	and	CCONJ
cana-3198	55	6	methodology	methodology	PROPN
cana-3198	55	7	maharashtra	maharashtra	PROPN
cana-3198	55	8	is	be	AUX
cana-3198	55	9	the	the	DET
cana-3198	55	10	second	second	ADJ
cana-3198	55	11	most	most	ADV
cana-3198	55	12	populated	populated	ADJ
cana-3198	55	13	district	district	NOUN
cana-3198	55	14	in	in	ADP
cana-3198	55	15	india	india	PROPN
cana-3198	55	16	(	(	PUNCT
cana-3198	55	17	118,809	118,809	NUM
cana-3198	55	18	sq	sq	PROPN
cana-3198	55	19	.	.	PROPN
cana-3198	55	20	mi	mi	PROPN
cana-3198	55	21	.	.	PROPN
cana-3198	55	22	)	)	PUNCT
cana-3198	56	1	and	and	CCONJ
cana-3198	56	2	the	the	DET
cana-3198	56	3	third	third	ADV
cana-3198	56	4	largest	large	ADJ
cana-3198	56	5	state	state	NOUN
cana-3198	56	6	(	(	PUNCT
cana-3198	56	7	307,713	307,713	NUM
cana-3198	56	8	km2	km2	NOUN
cana-3198	56	9	)	)	PUNCT
cana-3198	56	10	.	.	PUNCT
cana-3198	57	1	there	there	PRON
cana-3198	57	2	are	be	VERB
cana-3198	57	3	numerous	numerous	ADJ
cana-3198	57	4	famous	famous	ADJ
cana-3198	57	5	rivers	river	NOUN
cana-3198	57	6	in	in	ADP
cana-3198	57	7	the	the	DET
cana-3198	57	8	state	state	NOUN
cana-3198	57	9	.	.	PUNCT
cana-3198	58	1	the	the	DET
cana-3198	58	2	majority	majority	NOUN
cana-3198	58	3	of	of	ADP
cana-3198	58	4	the	the	DET
cana-3198	58	5	rivers	river	NOUN
cana-3198	58	6	in	in	ADP
cana-3198	58	7	the	the	DET
cana-3198	58	8	state	state	NOUN
cana-3198	58	9	's	's	PART
cana-3198	58	10	central	central	ADJ
cana-3198	58	11	region	region	NOUN
cana-3198	58	12	are	be	AUX
cana-3198	58	13	dammed	dam	VERB
cana-3198	58	14	up	up	ADP
cana-3198	58	15	,	,	PUNCT
cana-3198	58	16	and	and	CCONJ
cana-3198	58	17	there	there	PRON
cana-3198	58	18	is	be	VERB
cana-3198	58	19	minimal	minimal	ADJ
cana-3198	58	20	rainfall	rainfall	NOUN
cana-3198	58	21	there	there	ADV
cana-3198	58	22	.	.	PUNCT
cana-3198	59	1	according	accord	VERB
cana-3198	59	2	to	to	ADP
cana-3198	59	3	the	the	DET
cana-3198	59	4	2011	2011	NUM
cana-3198	59	5	census	census	NOUN
cana-3198	59	6	,	,	PUNCT
cana-3198	59	7	there	there	PRON
cana-3198	59	8	are	be	VERB
cana-3198	59	9	18,731,872	18,731,872	NUM
cana-3198	59	10	people	people	NOUN
cana-3198	59	11	living	live	VERB
cana-3198	59	12	in	in	ADP
cana-3198	59	13	the	the	DET
cana-3198	59	14	marathwada	marathwada	PROPN
cana-3198	59	15	region	region	NOUN
cana-3198	59	16	,	,	PUNCT
cana-3198	59	17	which	which	PRON
cana-3198	59	18	covers	cover	VERB
cana-3198	59	19	an	an	DET
cana-3198	59	20	area	area	NOUN
cana-3198	59	21	of	of	ADP
cana-3198	59	22	64590	64590	NUM
cana-3198	59	23	km2	km2	NOUN
cana-3198	59	24	(	(	PUNCT
cana-3198	59	25	24,940	24,940	NUM
cana-3198	59	26	sq	sq	PROPN
cana-3198	59	27	.	.	PROPN
cana-3198	59	28	mi	mi	PROPN
cana-3198	59	29	)	)	PUNCT
cana-3198	59	30	.	.	PUNCT
cana-3198	60	1	the	the	DET
cana-3198	60	2	region	region	NOUN
cana-3198	60	3	is	be	AUX
cana-3198	60	4	divided	divide	VERB
cana-3198	60	5	into	into	ADP
cana-3198	60	6	eight	eight	NUM
cana-3198	60	7	districts	district	NOUN
cana-3198	60	8	,	,	PUNCT
cana-3198	60	9	which	which	PRON
cana-3198	60	10	are	be	AUX
cana-3198	60	11	ch	ch	NOUN
cana-3198	60	12	.	.	PROPN
cana-3198	60	13	sambhajinagar	sambhajinagar	NOUN
cana-3198	60	14	,	,	PUNCT
cana-3198	60	15	beed	beed	NOUN
cana-3198	60	16	,	,	PUNCT
cana-3198	60	17	hingoli	hingoli	NOUN
cana-3198	60	18	,	,	PUNCT
cana-3198	60	19	jalna	jalna	PROPN
cana-3198	60	20	,	,	PUNCT
cana-3198	60	21	parbhani	parbhani	NOUN
cana-3198	60	22	,	,	PUNCT
cana-3198	60	23	latur	latur	PROPN
cana-3198	60	24	,	,	PUNCT
cana-3198	60	25	osmanabad	osmanabad	ADJ
cana-3198	60	26	,	,	PUNCT
cana-3198	60	27	and	and	CCONJ
cana-3198	60	28	nanded	nanded	PROPN
cana-3198	60	29	.	.	PUNCT
cana-3198	61	1	the	the	DET
cana-3198	61	2	district	district	NOUN
cana-3198	61	3	of	of	ADP
cana-3198	61	4	ch	ch	PROPN
cana-3198	61	5	.	.	PROPN
cana-3198	61	6	sambhajinagar	sambhajinagar	NOUN
cana-3198	61	7	contains	contain	VERB
cana-3198	61	8	the	the	DET
cana-3198	61	9	main	main	ADJ
cana-3198	61	10	city	city	NOUN
cana-3198	61	11	.	.	PUNCT
cana-3198	62	1	figure	figure	NOUN
cana-3198	62	2	2	2	NUM
cana-3198	62	3	.	.	PUNCT
cana-3198	62	4	methodology	methodology	NOUN
cana-3198	62	5	database	database	NOUN
cana-3198	62	6	pre	pre	ADJ
cana-3198	62	7	-	-	ADJ
cana-3198	62	8	processing	processing	ADJ
cana-3198	62	9	machine	machine	NOUN
cana-3198	62	10	learning	learn	VERB
cana-3198	62	11	techniques	technique	NOUN
cana-3198	62	12	comparative	comparative	ADJ
cana-3198	62	13	analysis	analysis	NOUN
cana-3198	62	14	data	datum	NOUN
cana-3198	62	15	visualizations	visualization	NOUN
cana-3198	62	16	,	,	PUNCT
cana-3198	62	17	imputations	imputation	NOUN
cana-3198	62	18	for	for	ADP
cana-3198	62	19	missing	miss	VERB
cana-3198	62	20	values	value	NOUN
cana-3198	62	21	,	,	PUNCT
cana-3198	62	22	outliers	outlier	NOUN
cana-3198	62	23	result	result	VERB
cana-3198	62	24	communications	communication	NOUN
cana-3198	62	25	on	on	ADP
cana-3198	62	26	applied	apply	VERB
cana-3198	62	27	nonlinear	nonlinear	ADJ
cana-3198	62	28	analysis	analysis	NOUN
cana-3198	62	29	issn	issn	NOUN
cana-3198	62	30	:	:	PUNCT
cana-3198	62	31	1074	1074	NUM
cana-3198	62	32	-	-	PUNCT
cana-3198	62	33	133x	133x	NUM
cana-3198	62	34	vol	vol	NOUN
cana-3198	62	35	32	32	NUM
cana-3198	62	36	no	no	NOUN
cana-3198	62	37	.	.	PUNCT
cana-3198	63	1	5s	5s	NUM
cana-3198	63	2	(	(	PUNCT
cana-3198	63	3	2025	2025	NUM
cana-3198	63	4	)	)	PUNCT
cana-3198	63	5	587	587	NUM
cana-3198	63	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3198	63	7	2.1	2.1	NUM
cana-3198	63	8	climate	climate	NOUN
cana-3198	63	9	and	and	CCONJ
cana-3198	63	10	soil	soil	NOUN
cana-3198	63	11	database	database	NOUN
cana-3198	63	12	database	database	NOUN
cana-3198	63	13	has	have	AUX
cana-3198	63	14	gathered	gather	VERB
cana-3198	63	15	two	two	NUM
cana-3198	63	16	different	different	ADJ
cana-3198	63	17	kinds	kind	NOUN
cana-3198	63	18	of	of	ADP
cana-3198	63	19	datasets	dataset	NOUN
cana-3198	63	20	:	:	PUNCT
cana-3198	63	21	soil	soil	NOUN
cana-3198	63	22	and	and	CCONJ
cana-3198	63	23	climate	climate	NOUN
cana-3198	63	24	.	.	PUNCT
cana-3198	64	1	the	the	DET
cana-3198	64	2	climate	climate	NOUN
cana-3198	64	3	database	database	NOUN
cana-3198	64	4	for	for	ADP
cana-3198	64	5	the	the	DET
cana-3198	64	6	years	year	NOUN
cana-3198	64	7	1952	1952	NUM
cana-3198	64	8	to	to	ADP
cana-3198	64	9	2018	2018	NUM
cana-3198	64	10	is	be	AUX
cana-3198	64	11	provided	provide	VERB
cana-3198	64	12	by	by	ADP
cana-3198	64	13	the	the	DET
cana-3198	64	14	indian	indian	PROPN
cana-3198	64	15	metrological	metrological	PROPN
cana-3198	64	16	department	department	PROPN
cana-3198	64	17	(	(	PUNCT
cana-3198	64	18	imd	imd	PROPN
cana-3198	64	19	)	)	PUNCT
cana-3198	64	20	,	,	PUNCT
cana-3198	64	21	pune	pune	NOUN
cana-3198	64	22	and	and	CCONJ
cana-3198	64	23	it	it	PRON
cana-3198	64	24	is	be	AUX
cana-3198	64	25	part	part	NOUN
cana-3198	64	26	of	of	ADP
cana-3198	64	27	the	the	DET
cana-3198	64	28	ministry	ministry	PROPN
cana-3198	64	29	of	of	ADP
cana-3198	64	30	earth	earth	PROPN
cana-3198	64	31	science	science	NOUN
cana-3198	64	32	in	in	ADP
cana-3198	64	33	india	india	PROPN
cana-3198	64	34	.	.	PUNCT
cana-3198	65	1	meteorological	meteorological	ADJ
cana-3198	65	2	data	datum	NOUN
cana-3198	65	3	came	come	VERB
cana-3198	65	4	from	from	ADP
cana-3198	65	5	the	the	DET
cana-3198	65	6	five	five	NUM
cana-3198	65	7	districts	district	NOUN
cana-3198	65	8	of	of	ADP
cana-3198	65	9	the	the	DET
cana-3198	65	10	marathwada	marathwada	PROPN
cana-3198	65	11	region	region	PROPN
cana-3198	65	12	:	:	PUNCT
cana-3198	65	13	beed	beed	VERB
cana-3198	65	14	,	,	PUNCT
cana-3198	65	15	osmanabad	osmanabad	ADJ
cana-3198	65	16	,	,	PUNCT
cana-3198	65	17	nanded	nande	VERB
cana-3198	65	18	,	,	PUNCT
cana-3198	65	19	and	and	CCONJ
cana-3198	65	20	ch	ch	NOUN
cana-3198	65	21	.	.	NOUN
cana-3198	65	22	sambhajinagar	sambhajinagar	NOUN
cana-3198	65	23	.	.	PUNCT
cana-3198	66	1	the	the	DET
cana-3198	66	2	prediction	prediction	NOUN
cana-3198	66	3	models	model	NOUN
cana-3198	66	4	account	account	VERB
cana-3198	66	5	for	for	ADP
cana-3198	66	6	a	a	DET
cana-3198	66	7	variety	variety	NOUN
cana-3198	66	8	of	of	ADP
cana-3198	66	9	climate	climate	NOUN
cana-3198	66	10	factors	factor	NOUN
cana-3198	66	11	,	,	PUNCT
cana-3198	66	12	such	such	ADJ
cana-3198	66	13	as	as	ADP
cana-3198	66	14	temperature	temperature	NOUN
cana-3198	66	15	(	(	PUNCT
cana-3198	66	16	in	in	ADP
cana-3198	66	17	degrees	degree	NOUN
cana-3198	66	18	celsius	celsius	NOUN
cana-3198	66	19	)	)	PUNCT
cana-3198	66	20	,	,	PUNCT
cana-3198	66	21	mean	mean	VERB
cana-3198	66	22	wind	wind	NOUN
cana-3198	66	23	speed	speed	NOUN
cana-3198	66	24	(	(	PUNCT
cana-3198	66	25	mws	mws	NOUN
cana-3198	66	26	,	,	PUNCT
cana-3198	66	27	in	in	ADP
cana-3198	66	28	km	km	PROPN
cana-3198	66	29	/	/	SYM
cana-3198	66	30	h	h	NOUN
cana-3198	66	31	)	)	PUNCT
cana-3198	66	32	,	,	PUNCT
cana-3198	66	33	relative	relative	ADJ
cana-3198	66	34	humidity	humidity	NOUN
cana-3198	66	35	,	,	PUNCT
cana-3198	66	36	rainfall	rainfall	NOUN
cana-3198	66	37	(	(	PUNCT
cana-3198	66	38	in	in	ADP
cana-3198	66	39	millimeters	millimeter	NOUN
cana-3198	66	40	)	)	PUNCT
cana-3198	66	41	,	,	PUNCT
cana-3198	66	42	and	and	CCONJ
cana-3198	66	43	the	the	DET
cana-3198	66	44	number	number	NOUN
cana-3198	66	45	of	of	ADP
cana-3198	66	46	rainy	rainy	ADJ
cana-3198	66	47	days	day	NOUN
cana-3198	66	48	(	(	PUNCT
cana-3198	66	49	rd	rd	NOUN
cana-3198	66	50	)	)	PUNCT
cana-3198	66	51	.	.	PUNCT
cana-3198	67	1	for	for	ADP
cana-3198	67	2	the	the	DET
cana-3198	67	3	second	second	ADJ
cana-3198	67	4	database	database	NOUN
cana-3198	67	5	,	,	PUNCT
cana-3198	67	6	it	it	PRON
cana-3198	67	7	has	have	AUX
cana-3198	67	8	collected	collect	VERB
cana-3198	67	9	300	300	NUM
cana-3198	67	10	soil	soil	NOUN
cana-3198	67	11	samples	sample	NOUN
cana-3198	67	12	from	from	ADP
cana-3198	67	13	the	the	DET
cana-3198	67	14	marathwada	marathwada	PROPN
cana-3198	67	15	area	area	NOUN
cana-3198	67	16	.	.	PUNCT
cana-3198	68	1	chemical	chemical	NOUN
cana-3198	68	2	analyses	analysis	NOUN
cana-3198	68	3	and	and	CCONJ
cana-3198	68	4	asd	asd	PROPN
cana-3198	68	5	fieldspec	fieldspec	PROPN
cana-3198	68	6	spectroradiometer	spectroradiometer	NOUN
cana-3198	68	7	readings	reading	NOUN
cana-3198	68	8	are	be	AUX
cana-3198	68	9	performed	perform	VERB
cana-3198	68	10	on	on	ADP
cana-3198	68	11	soil	soil	NOUN
cana-3198	68	12	samples	sample	NOUN
cana-3198	68	13	.	.	PUNCT
cana-3198	69	1	2.2	2.2	NUM
cana-3198	69	2	pre	pre	ADJ
cana-3198	69	3	-	-	ADJ
cana-3198	69	4	processing	processing	ADJ
cana-3198	69	5	preprocessing	preprocessing	NOUN
cana-3198	69	6	prepares	prepare	VERB
cana-3198	69	7	raw	raw	ADJ
cana-3198	69	8	data	datum	NOUN
cana-3198	69	9	for	for	ADP
cana-3198	69	10	analysis	analysis	NOUN
cana-3198	69	11	.	.	PUNCT
cana-3198	70	1	it	it	PRON
cana-3198	70	2	comprises	comprise	VERB
cana-3198	70	3	cleaning	clean	VERB
cana-3198	70	4	,	,	PUNCT
cana-3198	70	5	transforming	transform	VERB
cana-3198	70	6	,	,	PUNCT
cana-3198	70	7	and	and	CCONJ
cana-3198	70	8	organizing	organize	VERB
cana-3198	70	9	data	datum	NOUN
cana-3198	70	10	in	in	ADP
cana-3198	70	11	order	order	NOUN
cana-3198	70	12	to	to	PART
cana-3198	70	13	get	get	VERB
cana-3198	70	14	it	it	PRON
cana-3198	70	15	ready	ready	ADJ
cana-3198	70	16	for	for	ADP
cana-3198	70	17	analysis	analysis	NOUN
cana-3198	70	18	.	.	PUNCT
cana-3198	71	1	ensuring	ensure	VERB
cana-3198	71	2	that	that	SCONJ
cana-3198	71	3	the	the	DET
cana-3198	71	4	data	data	NOUN
cana-3198	71	5	is	be	AUX
cana-3198	71	6	accurate	accurate	ADJ
cana-3198	71	7	,	,	PUNCT
cana-3198	71	8	complete	complete	ADJ
cana-3198	71	9	,	,	PUNCT
cana-3198	71	10	consistent	consistent	ADJ
cana-3198	71	11	,	,	PUNCT
cana-3198	71	12	and	and	CCONJ
cana-3198	71	13	easily	easily	ADV
cana-3198	71	14	analyzed	analyze	VERB
cana-3198	71	15	by	by	ADP
cana-3198	71	16	machine	machine	NOUN
cana-3198	71	17	learning	learning	NOUN
cana-3198	71	18	models	model	NOUN
cana-3198	71	19	or	or	CCONJ
cana-3198	71	20	other	other	ADJ
cana-3198	71	21	analytical	analytical	ADJ
cana-3198	71	22	tools	tool	NOUN
cana-3198	71	23	is	be	AUX
cana-3198	71	24	the	the	DET
cana-3198	71	25	aim	aim	NOUN
cana-3198	71	26	of	of	ADP
cana-3198	71	27	data	datum	NOUN
cana-3198	71	28	preparation	preparation	NOUN
cana-3198	71	29	[	[	X
cana-3198	71	30	14	14	NUM
cana-3198	71	31	]	]	SYM
cana-3198	71	32	.	.	PUNCT
cana-3198	72	1	2.2.1	2.2.1	NUM
cana-3198	72	2	absence	absence	NOUN
cana-3198	72	3	(	(	PUNCT
cana-3198	72	4	missing	miss	VERB
cana-3198	72	5	)	)	PUNCT
cana-3198	72	6	of	of	ADP
cana-3198	72	7	values	value	NOUN
cana-3198	72	8	it	it	PRON
cana-3198	72	9	utilized	utilize	VERB
cana-3198	72	10	a	a	DET
cana-3198	72	11	median	median	ADJ
cana-3198	72	12	imputer	imputer	NOUN
cana-3198	72	13	to	to	PART
cana-3198	72	14	prepare	prepare	VERB
cana-3198	72	15	for	for	ADP
cana-3198	72	16	missing	miss	VERB
cana-3198	72	17	values	value	NOUN
cana-3198	72	18	by	by	ADP
cana-3198	72	19	month	month	NOUN
cana-3198	72	20	for	for	ADP
cana-3198	72	21	missing	miss	VERB
cana-3198	72	22	numerical	numerical	ADJ
cana-3198	72	23	data	datum	NOUN
cana-3198	72	24	.	.	PUNCT
cana-3198	73	1	2.2.2	2.2.2	NUM
cana-3198	73	2	data	datum	NOUN
cana-3198	73	3	anomalies	anomaly	NOUN
cana-3198	73	4	(	(	PUNCT
cana-3198	73	5	outliers	outlier	NOUN
cana-3198	73	6	)	)	PUNCT
cana-3198	73	7	anomalies	anomaly	NOUN
cana-3198	73	8	are	be	AUX
cana-3198	73	9	detected	detect	VERB
cana-3198	73	10	using	use	VERB
cana-3198	73	11	two	two	NUM
cana-3198	73	12	graphical	graphical	ADJ
cana-3198	73	13	methods	method	NOUN
cana-3198	73	14	when	when	SCONJ
cana-3198	73	15	the	the	DET
cana-3198	73	16	distribution	distribution	NOUN
cana-3198	73	17	is	be	AUX
cana-3198	73	18	normal	normal	ADJ
cana-3198	73	19	.	.	PUNCT
cana-3198	74	1	box	box	NOUN
cana-3198	74	2	plots	plot	NOUN
cana-3198	74	3	and	and	CCONJ
cana-3198	74	4	scatter	scatter	NOUN
cana-3198	74	5	plots	plot	NOUN
cana-3198	74	6	are	be	AUX
cana-3198	74	7	the	the	DET
cana-3198	74	8	two	two	NUM
cana-3198	74	9	types	type	NOUN
cana-3198	74	10	of	of	ADP
cana-3198	74	11	plots	plot	NOUN
cana-3198	74	12	that	that	PRON
cana-3198	74	13	are	be	AUX
cana-3198	74	14	accessible	accessible	ADJ
cana-3198	74	15	,	,	PUNCT
cana-3198	74	16	to	to	PART
cana-3198	74	17	comprehend	comprehend	VERB
cana-3198	74	18	the	the	DET
cana-3198	74	19	behavior	behavior	NOUN
cana-3198	74	20	of	of	ADP
cana-3198	74	21	data	datum	NOUN
cana-3198	74	22	in	in	ADP
cana-3198	74	23	a	a	DET
cana-3198	74	24	distribution	distribution	NOUN
cana-3198	74	25	's	's	PART
cana-3198	74	26	center	center	NOUN
cana-3198	74	27	and	and	CCONJ
cana-3198	74	28	tails	tail	NOUN
cana-3198	74	29	more	more	ADV
cana-3198	74	30	thoroughly	thoroughly	ADV
cana-3198	74	31	[	[	X
cana-3198	74	32	15	15	NUM
cana-3198	74	33	]	]	PUNCT
cana-3198	74	34	.	.	PUNCT
cana-3198	75	1	figure	figure	NOUN
cana-3198	75	2	3	3	NUM
cana-3198	75	3	.	.	PUNCT
cana-3198	75	4	data	datum	NOUN
cana-3198	75	5	visualization	visualization	NOUN
cana-3198	75	6	-	-	PUNCT
cana-3198	75	7	outliers	outlier	NOUN
cana-3198	75	8	communications	communication	NOUN
cana-3198	75	9	on	on	ADP
cana-3198	75	10	applied	apply	VERB
cana-3198	75	11	nonlinear	nonlinear	ADJ
cana-3198	75	12	analysis	analysis	NOUN
cana-3198	75	13	issn	issn	NOUN
cana-3198	75	14	:	:	PUNCT
cana-3198	75	15	1074	1074	NUM
cana-3198	75	16	-	-	PUNCT
cana-3198	75	17	133x	133x	NUM
cana-3198	75	18	vol	vol	NOUN
cana-3198	75	19	32	32	NUM
cana-3198	75	20	no	no	NOUN
cana-3198	75	21	.	.	PUNCT
cana-3198	76	1	5s	5s	NUM
cana-3198	76	2	(	(	PUNCT
cana-3198	76	3	2025	2025	NUM
cana-3198	76	4	)	)	PUNCT
cana-3198	76	5	588	588	NUM
cana-3198	76	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3198	76	7	2.2.3	2.2.3	NUM
cana-3198	76	8	correlation	correlation	NOUN
cana-3198	76	9	of	of	ADP
cana-3198	76	10	climate	climate	NOUN
cana-3198	76	11	data	datum	NOUN
cana-3198	76	12	figure	figure	NOUN
cana-3198	76	13	4	4	NUM
cana-3198	76	14	.	.	PUNCT
cana-3198	76	15	correlation	correlation	NOUN
cana-3198	76	16	of	of	ADP
cana-3198	76	17	climate	climate	NOUN
cana-3198	76	18	parameters	parameter	NOUN
cana-3198	76	19	these	these	DET
cana-3198	76	20	maps	map	NOUN
cana-3198	76	21	all	all	PRON
cana-3198	76	22	display	display	VERB
cana-3198	76	23	three	three	NUM
cana-3198	76	24	different	different	ADJ
cana-3198	76	25	kinds	kind	NOUN
cana-3198	76	26	of	of	ADP
cana-3198	76	27	correlation	correlation	NOUN
cana-3198	76	28	:	:	PUNCT
cana-3198	76	29	negative	negative	ADJ
cana-3198	76	30	association	association	NOUN
cana-3198	76	31	:	:	PUNCT
cana-3198	76	32	the	the	DET
cana-3198	76	33	sea	sea	NOUN
cana-3198	76	34	level	level	NOUN
cana-3198	76	35	pressure	pressure	NOUN
cana-3198	76	36	,	,	PUNCT
cana-3198	76	37	wind	wind	NOUN
cana-3198	76	38	speed	speed	NOUN
cana-3198	76	39	,	,	PUNCT
cana-3198	76	40	mean	mean	ADJ
cana-3198	76	41	station	station	NOUN
cana-3198	76	42	,	,	PUNCT
cana-3198	76	43	and	and	CCONJ
cana-3198	76	44	minimum	minimum	ADJ
cana-3198	76	45	temperatures	temperature	NOUN
cana-3198	76	46	all	all	PRON
cana-3198	76	47	exhibit	exhibit	VERB
cana-3198	76	48	a	a	DET
cana-3198	76	49	significant	significant	ADJ
cana-3198	76	50	negative	negative	ADJ
cana-3198	76	51	association	association	NOUN
cana-3198	76	52	.	.	PUNCT
cana-3198	77	1	weak	weak	ADJ
cana-3198	77	2	or	or	CCONJ
cana-3198	77	3	no	no	DET
cana-3198	77	4	correlation	correlation	NOUN
cana-3198	77	5	:	:	PUNCT
cana-3198	77	6	the	the	DET
cana-3198	77	7	minimum	minimum	ADJ
cana-3198	77	8	temperature	temperature	NOUN
cana-3198	77	9	,	,	PUNCT
cana-3198	77	10	wind	wind	NOUN
cana-3198	77	11	speed	speed	NOUN
cana-3198	77	12	,	,	PUNCT
cana-3198	77	13	mean	mean	ADJ
cana-3198	77	14	station	station	NOUN
cana-3198	77	15	,	,	PUNCT
cana-3198	77	16	and	and	CCONJ
cana-3198	77	17	sea	sea	NOUN
cana-3198	77	18	level	level	NOUN
cana-3198	77	19	pressure	pressure	NOUN
cana-3198	77	20	have	have	VERB
cana-3198	77	21	no	no	DET
cana-3198	77	22	bearing	bearing	NOUN
cana-3198	77	23	on	on	ADP
cana-3198	77	24	relative	relative	ADJ
cana-3198	77	25	humidity	humidity	NOUN
cana-3198	77	26	.	.	PUNCT
cana-3198	78	1	high	high	ADJ
cana-3198	78	2	positive	positive	ADJ
cana-3198	78	3	correlation	correlation	NOUN
cana-3198	78	4	:	:	PUNCT
cana-3198	78	5	there	there	PRON
cana-3198	78	6	is	be	VERB
cana-3198	78	7	a	a	DET
cana-3198	78	8	significant	significant	ADJ
cana-3198	78	9	positive	positive	ADJ
cana-3198	78	10	correlation	correlation	NOUN
cana-3198	78	11	between	between	ADP
cana-3198	78	12	mean	mean	PROPN
cana-3198	78	13	sea	sea	NOUN
cana-3198	78	14	level	level	NOUN
cana-3198	78	15	pressure	pressure	NOUN
cana-3198	78	16	and	and	CCONJ
cana-3198	78	17	mean	mean	ADJ
cana-3198	78	18	station	station	NOUN
cana-3198	78	19	level	level	NOUN
cana-3198	78	20	pressure	pressure	NOUN
cana-3198	78	21	.	.	PUNCT
cana-3198	79	1	additionally	additionally	ADV
cana-3198	79	2	,	,	PUNCT
cana-3198	79	3	there	there	PRON
cana-3198	79	4	is	be	VERB
cana-3198	79	5	a	a	DET
cana-3198	79	6	positive	positive	ADJ
cana-3198	79	7	correlation	correlation	NOUN
cana-3198	79	8	between	between	ADP
cana-3198	79	9	mean	mean	ADJ
cana-3198	79	10	maximum	maximum	ADJ
cana-3198	79	11	temperatures	temperature	NOUN
cana-3198	79	12	and	and	CCONJ
cana-3198	79	13	higher	high	ADJ
cana-3198	79	14	maximum	maximum	ADJ
cana-3198	79	15	temperatures	temperature	NOUN
cana-3198	79	16	.	.	PUNCT
cana-3198	80	1	the	the	DET
cana-3198	80	2	maximum	maximum	ADJ
cana-3198	80	3	temperature	temperature	NOUN
cana-3198	80	4	,	,	PUNCT
cana-3198	80	5	minimum	minimum	ADJ
cana-3198	80	6	temperature	temperature	NOUN
cana-3198	80	7	,	,	PUNCT
cana-3198	80	8	wind	wind	NOUN
cana-3198	80	9	speed	speed	NOUN
cana-3198	80	10	,	,	PUNCT
cana-3198	80	11	and	and	CCONJ
cana-3198	80	12	mean	mean	VERB
cana-3198	80	13	station	station	NOUN
cana-3198	80	14	and	and	CCONJ
cana-3198	80	15	sea	sea	NOUN
cana-3198	80	16	level	level	NOUN
cana-3198	80	17	pressure	pressure	NOUN
cana-3198	80	18	all	all	PRON
cana-3198	80	19	exhibit	exhibit	VERB
cana-3198	80	20	positive	positive	ADJ
cana-3198	80	21	correlations	correlation	NOUN
cana-3198	80	22	as	as	ADP
cana-3198	80	23	a	a	DET
cana-3198	80	24	result	result	NOUN
cana-3198	80	25	.	.	PUNCT
cana-3198	81	1	the	the	DET
cana-3198	81	2	total	total	ADJ
cana-3198	81	3	monthly	monthly	ADJ
cana-3198	81	4	rainfall	rainfall	NOUN
cana-3198	81	5	and	and	CCONJ
cana-3198	81	6	relative	relative	ADJ
cana-3198	81	7	humidity	humidity	NOUN
cana-3198	81	8	have	have	VERB
cana-3198	81	9	a	a	DET
cana-3198	81	10	moderate	moderate	ADJ
cana-3198	81	11	(	(	PUNCT
cana-3198	81	12	0.71	0.71	NUM
cana-3198	81	13	)	)	PUNCT
cana-3198	81	14	and	and	CCONJ
cana-3198	81	15	negative	negative	ADJ
cana-3198	81	16	(	(	PUNCT
cana-3198	81	17	-0.55	-0.55	NOUN
cana-3198	81	18	)	)	PUNCT
cana-3198	81	19	association	association	NOUN
cana-3198	81	20	.	.	PUNCT
cana-3198	82	1	communications	communication	NOUN
cana-3198	82	2	on	on	ADP
cana-3198	82	3	applied	apply	VERB
cana-3198	82	4	nonlinear	nonlinear	ADJ
cana-3198	82	5	analysis	analysis	NOUN
cana-3198	82	6	issn	issn	NOUN
cana-3198	82	7	:	:	PUNCT
cana-3198	82	8	1074	1074	NUM
cana-3198	82	9	-	-	PUNCT
cana-3198	82	10	133x	133x	NUM
cana-3198	82	11	vol	vol	NOUN
cana-3198	82	12	32	32	NUM
cana-3198	82	13	no	no	NOUN
cana-3198	82	14	.	.	PUNCT
cana-3198	83	1	5s	5s	NUM
cana-3198	83	2	(	(	PUNCT
cana-3198	83	3	2025	2025	NUM
cana-3198	83	4	)	)	PUNCT
cana-3198	83	5	589	589	NUM
cana-3198	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3198	83	7	2.3	2.3	NUM
cana-3198	83	8	creation	creation	NOUN
cana-3198	83	9	of	of	ADP
cana-3198	83	10	soil	soil	NOUN
cana-3198	83	11	spectral	spectral	ADJ
cana-3198	83	12	library	library	NOUN
cana-3198	83	13	it	it	PRON
cana-3198	83	14	has	have	AUX
cana-3198	83	15	compiled	compile	VERB
cana-3198	83	16	a	a	DET
cana-3198	83	17	database	database	NOUN
cana-3198	83	18	of	of	ADP
cana-3198	83	19	300	300	NUM
cana-3198	83	20	soil	soil	NOUN
cana-3198	83	21	samples	sample	NOUN
cana-3198	83	22	collected	collect	VERB
cana-3198	83	23	on	on	ADP
cana-3198	83	24	farms	farm	NOUN
cana-3198	83	25	.	.	PUNCT
cana-3198	84	1	in	in	ADP
cana-3198	84	2	october	october	PROPN
cana-3198	84	3	and	and	CCONJ
cana-3198	84	4	november	november	PROPN
cana-3198	84	5	of	of	ADP
cana-3198	84	6	2020	2020	NUM
cana-3198	84	7	,	,	PUNCT
cana-3198	84	8	march	march	PROPN
cana-3198	84	9	and	and	CCONJ
cana-3198	84	10	april	april	PROPN
cana-3198	84	11	of	of	ADP
cana-3198	84	12	2021	2021	NUM
cana-3198	84	13	,	,	PUNCT
cana-3198	84	14	and	and	CCONJ
cana-3198	84	15	april	april	PROPN
cana-3198	84	16	and	and	CCONJ
cana-3198	84	17	may	may	PROPN
cana-3198	84	18	of	of	ADP
cana-3198	84	19	2022	2022	NUM
cana-3198	84	20	,	,	PUNCT
cana-3198	84	21	soil	soil	NOUN
cana-3198	84	22	samples	sample	NOUN
cana-3198	84	23	were	be	AUX
cana-3198	84	24	taken	take	VERB
cana-3198	84	25	on	on	ADP
cana-3198	84	26	bright	bright	ADJ
cana-3198	84	27	days	day	NOUN
cana-3198	84	28	between	between	ADP
cana-3198	84	29	10:00	10:00	NUM
cana-3198	84	30	am	am	NOUN
cana-3198	84	31	and	and	CCONJ
cana-3198	84	32	4:00	4:00	NUM
cana-3198	84	33	pm	pm	NOUN
cana-3198	84	34	from	from	ADP
cana-3198	84	35	the	the	DET
cana-3198	84	36	marathwada	marathwada	PROPN
cana-3198	84	37	area	area	PROPN
cana-3198	84	38	of	of	ADP
cana-3198	84	39	india	india	PROPN
cana-3198	84	40	.	.	PUNCT
cana-3198	85	1	soil	soil	NOUN
cana-3198	85	2	samples	sample	NOUN
cana-3198	85	3	for	for	ADP
cana-3198	85	4	the	the	DET
cana-3198	85	5	study	study	NOUN
cana-3198	85	6	were	be	AUX
cana-3198	85	7	given	give	VERB
cana-3198	85	8	by	by	ADP
cana-3198	85	9	eight	eight	NUM
cana-3198	85	10	districts	district	NOUN
cana-3198	85	11	:	:	PUNCT
cana-3198	85	12	ch	ch	NOUN
cana-3198	85	13	.	.	PROPN
cana-3198	85	14	sambhajinagar	sambhajinagar	NOUN
cana-3198	85	15	,	,	PUNCT
cana-3198	85	16	jalna	jalna	PROPN
cana-3198	85	17	,	,	PUNCT
cana-3198	85	18	parbhani	parbhani	NOUN
cana-3198	85	19	,	,	PUNCT
cana-3198	85	20	hingoli	hingoli	NOUN
cana-3198	85	21	,	,	PUNCT
cana-3198	85	22	nanded	nanded	PROPN
cana-3198	85	23	,	,	PUNCT
cana-3198	85	24	latur	latur	PROPN
cana-3198	85	25	,	,	PUNCT
cana-3198	85	26	osmanabad	osmanabad	ADJ
cana-3198	85	27	,	,	PUNCT
cana-3198	85	28	and	and	CCONJ
cana-3198	85	29	beed	be	VERB
cana-3198	85	30	.	.	PUNCT
cana-3198	86	1	2.3.1	2.3.1	NUM
cana-3198	86	2	chemical	chemical	NOUN
cana-3198	86	3	lab	lab	NOUN
cana-3198	86	4	mit	mit	NOUN
cana-3198	86	5	it	it	PRON
cana-3198	86	6	has	have	AUX
cana-3198	86	7	done	do	VERB
cana-3198	86	8	the	the	DET
cana-3198	86	9	chemical	chemical	ADJ
cana-3198	86	10	analysis	analysis	NOUN
cana-3198	86	11	in	in	ADP
cana-3198	86	12	the	the	DET
cana-3198	86	13	mit	mit	NOUN
cana-3198	86	14	-	-	PUNCT
cana-3198	86	15	cars	car	NOUN
cana-3198	86	16	,	,	PUNCT
cana-3198	86	17	department	department	NOUN
cana-3198	86	18	of	of	ADP
cana-3198	86	19	agriculture	agriculture	PROPN
cana-3198	86	20	engineering	engineering	PROPN
cana-3198	86	21	,	,	PUNCT
cana-3198	86	22	mit	mit	PROPN
cana-3198	86	23	campus	campus	NOUN
cana-3198	86	24	,	,	PUNCT
cana-3198	86	25	ch	ch	NOUN
cana-3198	86	26	.	.	PUNCT
cana-3198	87	1	sambhajinagar-431001	sambhajinagar-431001	NOUN
cana-3198	87	2	,	,	PUNCT
cana-3198	87	3	under	under	ADP
cana-3198	87	4	the	the	DET
cana-3198	87	5	supervision	supervision	NOUN
cana-3198	87	6	of	of	ADP
cana-3198	87	7	the	the	DET
cana-3198	87	8	mit	mit	NOUN
cana-3198	87	9	soil	soil	NOUN
cana-3198	87	10	testing	testing	NOUN
cana-3198	87	11	team	team	NOUN
cana-3198	87	12	and	and	CCONJ
cana-3198	88	1	dr	dr	PROPN
cana-3198	88	2	.	.	PROPN
cana-3198	88	3	deepak	deepak	PROPN
cana-3198	88	4	bornare	bornare	PROPN
cana-3198	88	5	sir	sir	PROPN
cana-3198	88	6	,	,	PUNCT
cana-3198	88	7	head	head	NOUN
cana-3198	88	8	of	of	ADP
cana-3198	88	9	the	the	DET
cana-3198	88	10	department	department	PROPN
cana-3198	88	11	of	of	ADP
cana-3198	88	12	agriculture	agriculture	PROPN
cana-3198	88	13	engineering	engineering	PROPN
cana-3198	88	14	,	,	PUNCT
cana-3198	88	15	mit	mit	NOUN
cana-3198	88	16	.	.	PUNCT
cana-3198	89	1	it	it	PRON
cana-3198	89	2	has	have	AUX
cana-3198	89	3	taken	take	VERB
cana-3198	89	4	the	the	DET
cana-3198	89	5	soil	soil	NOUN
cana-3198	89	6	analysis	analysis	NOUN
cana-3198	89	7	result	result	NOUN
cana-3198	89	8	and	and	CCONJ
cana-3198	89	9	compare	compare	VERB
cana-3198	89	10	with	with	ADP
cana-3198	89	11	asd	asd	PROPN
cana-3198	89	12	data	datum	NOUN
cana-3198	89	13	and	and	CCONJ
cana-3198	89	14	given	give	VERB
cana-3198	89	15	it	it	PRON
cana-3198	89	16	to	to	ADP
cana-3198	89	17	the	the	DET
cana-3198	89	18	respective	respective	ADJ
cana-3198	89	19	farmers	farmer	NOUN
cana-3198	89	20	.	.	PUNCT
cana-3198	90	1	2.3.2	2.3.2	NUM
cana-3198	90	2	spectral	spectral	ADJ
cana-3198	90	3	analysis	analysis	NOUN
cana-3198	90	4	using	use	VERB
cana-3198	90	5	fieldspec	fieldspec	NOUN
cana-3198	90	6	4	4	NUM
cana-3198	90	7	spectroradiometer	spectroradiometer	NOUN
cana-3198	90	8	it	it	PRON
cana-3198	90	9	is	be	AUX
cana-3198	90	10	used	use	VERB
cana-3198	90	11	to	to	PART
cana-3198	90	12	create	create	VERB
cana-3198	90	13	the	the	DET
cana-3198	90	14	database	database	NOUN
cana-3198	90	15	.	.	PUNCT
cana-3198	91	1	there	there	PRON
cana-3198	91	2	are	be	VERB
cana-3198	91	3	300	300	NUM
cana-3198	91	4	entries	entry	NOUN
cana-3198	91	5	in	in	ADP
cana-3198	91	6	the	the	DET
cana-3198	91	7	database	database	NOUN
cana-3198	91	8	.	.	PUNCT
cana-3198	92	1	the	the	DET
cana-3198	92	2	sample	sample	NOUN
cana-3198	92	3	's	's	PART
cana-3198	92	4	spectrum	spectrum	NOUN
cana-3198	92	5	was	be	AUX
cana-3198	92	6	the	the	DET
cana-3198	92	7	mean	mean	NOUN
cana-3198	92	8	of	of	ADP
cana-3198	92	9	thirty	thirty	NUM
cana-3198	92	10	separate	separate	ADJ
cana-3198	92	11	scans	scan	NOUN
cana-3198	92	12	.	.	PUNCT
cana-3198	93	1	the	the	DET
cana-3198	93	2	soil	soil	NOUN
cana-3198	93	3	samples	sample	NOUN
cana-3198	93	4	were	be	AUX
cana-3198	93	5	analyzed	analyze	VERB
cana-3198	93	6	in	in	ADP
cana-3198	93	7	the	the	DET
cana-3198	93	8	below	below	NOUN
cana-3198	93	9	of	of	ADP
cana-3198	93	10	350–2500	350–2500	NUM
cana-3198	93	11	nm	nm	ADJ
cana-3198	93	12	spectral	spectral	ADJ
cana-3198	93	13	range	range	NOUN
cana-3198	93	14	.	.	PUNCT
cana-3198	94	1	it	it	PRON
cana-3198	94	2	is	be	AUX
cana-3198	94	3	used	use	VERB
cana-3198	94	4	an	an	DET
cana-3198	94	5	8	8	NUM
cana-3198	94	6	°	°	NUM
cana-3198	94	7	field	field	NOUN
cana-3198	94	8	of	of	ADP
cana-3198	94	9	view	view	NOUN
cana-3198	94	10	for	for	ADP
cana-3198	94	11	sampling	sample	VERB
cana-3198	94	12	.	.	PUNCT
cana-3198	95	1	it	it	PRON
cana-3198	95	2	was	be	AUX
cana-3198	95	3	positioned	position	VERB
cana-3198	95	4	in	in	ADP
cana-3198	95	5	the	the	DET
cana-3198	95	6	nadir	nadir	NOUN
cana-3198	95	7	on	on	ADP
cana-3198	95	8	a	a	DET
cana-3198	95	9	tripod	tripod	NOUN
cana-3198	95	10	.	.	PUNCT
cana-3198	96	1	the	the	DET
cana-3198	96	2	optical	optical	ADJ
cana-3198	96	3	head	head	NOUN
cana-3198	96	4	was	be	AUX
cana-3198	96	5	20	20	NUM
cana-3198	96	6	cm	cm	NOUN
cana-3198	96	7	distant	distant	ADJ
cana-3198	96	8	from	from	ADP
cana-3198	96	9	the	the	DET
cana-3198	96	10	soil	soil	NOUN
cana-3198	96	11	sample	sample	NOUN
cana-3198	96	12	,	,	PUNCT
cana-3198	96	13	while	while	SCONJ
cana-3198	96	14	the	the	DET
cana-3198	96	15	light	light	ADJ
cana-3198	96	16	source	source	NOUN
cana-3198	96	17	was	be	AUX
cana-3198	96	18	45	45	NUM
cana-3198	96	19	cm	cm	NOUN
cana-3198	96	20	away	away	ADV
cana-3198	96	21	.	.	PUNCT
cana-3198	97	1	every	every	DET
cana-3198	97	2	spectrum	spectrum	NOUN
cana-3198	97	3	was	be	AUX
cana-3198	97	4	gathered	gather	VERB
cana-3198	97	5	using	use	VERB
cana-3198	97	6	the	the	DET
cana-3198	97	7	rs3	rs3	PROPN
cana-3198	97	8	software	software	NOUN
cana-3198	97	9	.	.	PUNCT
cana-3198	98	1	2.3.2.1	2.3.2.1	NUM
cana-3198	99	1	analysis	analysis	NOUN
cana-3198	99	2	of	of	ADP
cana-3198	99	3	spectral	spectral	ADJ
cana-3198	99	4	characteristic	characteristic	NOUN
cana-3198	99	5	the	the	DET
cana-3198	99	6	qualities	quality	NOUN
cana-3198	99	7	of	of	ADP
cana-3198	99	8	soil	soil	NOUN
cana-3198	99	9	are	be	AUX
cana-3198	99	10	predicted	predict	VERB
cana-3198	99	11	using	use	VERB
cana-3198	99	12	the	the	DET
cana-3198	99	13	hyperspectral	hyperspectral	ADJ
cana-3198	99	14	non	non	ADJ
cana-3198	99	15	-	-	ADJ
cana-3198	99	16	imaging	imaging	ADJ
cana-3198	99	17	data	datum	NOUN
cana-3198	99	18	.	.	PUNCT
cana-3198	100	1	viewspec	viewspec	PROPN
cana-3198	100	2	pro	pro	PROPN
cana-3198	100	3	was	be	AUX
cana-3198	100	4	used	use	VERB
cana-3198	100	5	to	to	PART
cana-3198	100	6	convert	convert	VERB
cana-3198	100	7	each	each	DET
cana-3198	100	8	spectral	spectral	ADJ
cana-3198	100	9	signature	signature	NOUN
cana-3198	100	10	into	into	ADP
cana-3198	100	11	ascii	ascii	ADJ
cana-3198	100	12	format	format	NOUN
cana-3198	100	13	during	during	ADP
cana-3198	100	14	the	the	DET
cana-3198	100	15	pre	pre	ADJ
cana-3198	100	16	-	-	ADJ
cana-3198	100	17	treatment	treatment	ADJ
cana-3198	100	18	phase	phase	NOUN
cana-3198	100	19	.	.	PUNCT
cana-3198	101	1	five	five	NUM
cana-3198	101	2	distinct	distinct	ADJ
cana-3198	101	3	spectral	spectral	ADJ
cana-3198	101	4	properties	property	NOUN
cana-3198	101	5	are	be	AUX
cana-3198	101	6	analyzed	analyze	VERB
cana-3198	101	7	.	.	PUNCT
cana-3198	102	1	water	water	NOUN
cana-3198	102	2	contents	content	NOUN
cana-3198	102	3	(	(	PUNCT
cana-3198	102	4	1400	1400	NUM
cana-3198	102	5	,	,	PUNCT
cana-3198	102	6	1900	1900	NUM
cana-3198	102	7	,	,	PUNCT
cana-3198	102	8	and	and	CCONJ
cana-3198	102	9	2200	2200	NUM
cana-3198	102	10	nm	nm	NOUN
cana-3198	102	11	)	)	PUNCT
cana-3198	102	12	,	,	PUNCT
cana-3198	102	13	texture	texture	ADJ
cana-3198	102	14	particles	particle	NOUN
cana-3198	102	15	(	(	PUNCT
cana-3198	102	16	1323	1323	NUM
cana-3198	102	17	,	,	PUNCT
cana-3198	102	18	2081	2081	NUM
cana-3198	102	19	nm	nm	NOUN
cana-3198	102	20	)	)	PUNCT
cana-3198	102	21	,	,	PUNCT
cana-3198	102	22	nitrogen	nitrogen	NOUN
cana-3198	102	23	(	(	PUNCT
cana-3198	102	24	1702	1702	NUM
cana-3198	102	25	,	,	PUNCT
cana-3198	102	26	1870	1870	NUM
cana-3198	102	27	,	,	PUNCT
cana-3198	102	28	and	and	CCONJ
cana-3198	102	29	2052	2052	NUM
cana-3198	102	30	nm	nm	NOUN
cana-3198	102	31	)	)	PUNCT
cana-3198	102	32	,	,	PUNCT
cana-3198	102	33	phosphor	phosphor	NOUN
cana-3198	102	34	(	(	PUNCT
cana-3198	102	35	2021–2025	2021–2025	NUM
cana-3198	102	36	nm	nm	NOUN
cana-3198	102	37	,	,	PUNCT
cana-3198	102	38	2240–2400	2240–2400	NUM
cana-3198	102	39	nm	nm	NOUN
cana-3198	102	40	)	)	PUNCT
cana-3198	102	41	,	,	PUNCT
cana-3198	102	42	and	and	CCONJ
cana-3198	102	43	carbon	carbon	NOUN
cana-3198	102	44	(	(	PUNCT
cana-3198	102	45	2040–2260	2040–2260	NUM
cana-3198	102	46	nm	nm	NOUN
cana-3198	102	47	)	)	PUNCT
cana-3198	102	48	are	be	AUX
cana-3198	102	49	among	among	ADP
cana-3198	102	50	the	the	DET
cana-3198	102	51	wavelength	wavelength	NOUN
cana-3198	102	52	bands	band	NOUN
cana-3198	102	53	that	that	PRON
cana-3198	102	54	are	be	AUX
cana-3198	102	55	included	include	VERB
cana-3198	102	56	.	.	PUNCT
cana-3198	103	1	for	for	ADP
cana-3198	103	2	statistical	statistical	ADJ
cana-3198	103	3	analysis	analysis	NOUN
cana-3198	103	4	,	,	PUNCT
cana-3198	103	5	the	the	DET
cana-3198	103	6	soil	soil	NOUN
cana-3198	103	7	's	's	PART
cana-3198	103	8	mean	mean	ADJ
cana-3198	103	9	reflectance	reflectance	NOUN
cana-3198	103	10	value	value	NOUN
cana-3198	103	11	is	be	AUX
cana-3198	103	12	computed	compute	VERB
cana-3198	103	13	.	.	PUNCT
cana-3198	104	1	figure	figure	NOUN
cana-3198	104	2	5	5	NUM
cana-3198	104	3	shows	show	VERB
cana-3198	104	4	the	the	DET
cana-3198	104	5	spectral	spectral	ADJ
cana-3198	104	6	characteristic	characteristic	NOUN
cana-3198	104	7	of	of	ADP
cana-3198	104	8	soil	soil	NOUN
cana-3198	104	9	samples	sample	NOUN
cana-3198	104	10	.	.	PUNCT
cana-3198	105	1	figure	figure	NOUN
cana-3198	105	2	5	5	NUM
cana-3198	105	3	.	.	PUNCT
cana-3198	106	1	reflectance	reflectance	NOUN
cana-3198	106	2	of	of	ADP
cana-3198	106	3	soil	soil	NOUN
cana-3198	106	4	samples	sample	NOUN
cana-3198	106	5	2.3.2.2	2.3.2.2	NUM
cana-3198	106	6	1st	1st	NOUN
cana-3198	106	7	and	and	CCONJ
cana-3198	106	8	2nd	2nd	ADJ
cana-3198	106	9	derivative	derivative	NOUN
cana-3198	106	10	every	every	DET
cana-3198	106	11	point	point	NOUN
cana-3198	106	12	on	on	ADP
cana-3198	106	13	the	the	DET
cana-3198	106	14	spectral	spectral	ADJ
cana-3198	106	15	curve	curve	NOUN
cana-3198	106	16	is	be	AUX
cana-3198	106	17	evaluated	evaluate	VERB
cana-3198	106	18	in	in	ADP
cana-3198	106	19	terms	term	NOUN
cana-3198	106	20	of	of	ADP
cana-3198	106	21	its	its	PRON
cana-3198	106	22	slope	slope	NOUN
cana-3198	106	23	.	.	PUNCT
cana-3198	107	1	the	the	DET
cana-3198	107	2	slope	slope	NOUN
cana-3198	107	3	of	of	ADP
cana-3198	107	4	the	the	DET
cana-3198	107	5	curve	curve	NOUN
cana-3198	107	6	is	be	AUX
cana-3198	107	7	insensitive	insensitive	ADJ
cana-3198	107	8	to	to	ADP
cana-3198	107	9	the	the	DET
cana-3198	107	10	spectral	spectral	ADJ
cana-3198	107	11	signature	signature	NOUN
cana-3198	107	12	's	's	PART
cana-3198	107	13	baseline	baseline	NOUN
cana-3198	107	14	offsets	offset	NOUN
cana-3198	107	15	.	.	PUNCT
cana-3198	108	1	the	the	DET
cana-3198	108	2	1st	1st	ADJ
cana-3198	108	3	and	and	CCONJ
cana-3198	108	4	2nd	2nd	ADJ
cana-3198	108	5	derivatives	derivative	NOUN
cana-3198	108	6	have	have	AUX
cana-3198	108	7	been	be	AUX
cana-3198	108	8	used	use	VERB
cana-3198	108	9	for	for	ADP
cana-3198	108	10	pre	pre	ADJ
cana-3198	108	11	-	-	ADJ
cana-3198	108	12	processing	processing	NOUN
cana-3198	108	13	,	,	PUNCT
cana-3198	108	14	which	which	PRON
cana-3198	108	15	is	be	AUX
cana-3198	108	16	a	a	DET
cana-3198	108	17	helpful	helpful	ADJ
cana-3198	108	18	method	method	NOUN
cana-3198	108	19	of	of	ADP
cana-3198	108	20	eliminating	eliminate	VERB
cana-3198	108	21	baseline	baseline	NOUN
cana-3198	108	22	offsets	offset	NOUN
cana-3198	108	23	.	.	PUNCT
cana-3198	109	1	communications	communication	NOUN
cana-3198	109	2	on	on	ADP
cana-3198	109	3	applied	apply	VERB
cana-3198	109	4	nonlinear	nonlinear	ADJ
cana-3198	109	5	analysis	analysis	NOUN
cana-3198	109	6	issn	issn	NOUN
cana-3198	109	7	:	:	PUNCT
cana-3198	109	8	1074	1074	NUM
cana-3198	109	9	-	-	PUNCT
cana-3198	109	10	133x	133x	NUM
cana-3198	109	11	vol	vol	NOUN
cana-3198	109	12	32	32	NUM
cana-3198	109	13	no	no	NOUN
cana-3198	109	14	.	.	PUNCT
cana-3198	110	1	5s	5s	NUM
cana-3198	110	2	(	(	PUNCT
cana-3198	110	3	2025	2025	NUM
cana-3198	110	4	)	)	PUNCT
cana-3198	110	5	590	590	NUM
cana-3198	110	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3198	110	7	figure	figure	NOUN
cana-3198	110	8	6	6	NUM
cana-3198	110	9	.	.	PUNCT
cana-3198	111	1	1st	1st	ADJ
cana-3198	111	2	derivatives	derivative	NOUN
cana-3198	111	3	of	of	ADP
cana-3198	111	4	soil	soil	NOUN
cana-3198	111	5	samples	sample	NOUN
cana-3198	111	6	table	table	NOUN
cana-3198	111	7	1	1	NUM
cana-3198	111	8	displays	display	VERB
cana-3198	111	9	the	the	DET
cana-3198	111	10	soil	soil	NOUN
cana-3198	111	11	's	's	PART
cana-3198	111	12	texture	texture	NOUN
cana-3198	111	13	.	.	PUNCT
cana-3198	112	1	clay	clay	NOUN
cana-3198	112	2	loam	loam	PROPN
cana-3198	112	3	is	be	AUX
cana-3198	112	4	the	the	DET
cana-3198	112	5	soil	soil	NOUN
cana-3198	112	6	type	type	NOUN
cana-3198	112	7	found	find	VERB
cana-3198	112	8	in	in	ADP
cana-3198	112	9	ch	ch	PROPN
cana-3198	112	10	.	.	PROPN
cana-3198	112	11	sambhajinagar	sambhajinagar	NOUN
cana-3198	112	12	and	and	CCONJ
cana-3198	112	13	jalna	jalna	PROPN
cana-3198	112	14	district	district	PROPN
cana-3198	112	15	;	;	PUNCT
cana-3198	112	16	silt	silt	NOUN
cana-3198	112	17	clay	clay	NOUN
cana-3198	112	18	loam	loam	PROPN
cana-3198	112	19	is	be	AUX
cana-3198	112	20	found	find	VERB
cana-3198	112	21	in	in	ADP
cana-3198	112	22	nanded	nanded	PROPN
cana-3198	112	23	,	,	PUNCT
cana-3198	112	24	hingoli	hingoli	NOUN
cana-3198	112	25	,	,	PUNCT
cana-3198	112	26	osmanabad	osmanabad	ADJ
cana-3198	112	27	,	,	PUNCT
cana-3198	112	28	and	and	CCONJ
cana-3198	112	29	parbhani	parbhani	NOUN
cana-3198	112	30	.	.	PUNCT
cana-3198	113	1	while	while	SCONJ
cana-3198	113	2	the	the	DET
cana-3198	113	3	beed	beed	NOUN
cana-3198	113	4	district	district	NOUN
cana-3198	113	5	has	have	VERB
cana-3198	113	6	silt	silt	NOUN
cana-3198	113	7	clay	clay	NOUN
cana-3198	113	8	soil	soil	NOUN
cana-3198	113	9	texture	texture	NOUN
cana-3198	113	10	,	,	PUNCT
cana-3198	113	11	nanded	nanded	PROPN
cana-3198	113	12	has	have	VERB
cana-3198	113	13	clay	clay	NOUN
cana-3198	113	14	soil	soil	NOUN
cana-3198	113	15	texture	texture	NOUN
cana-3198	113	16	.	.	PUNCT
cana-3198	114	1	the	the	DET
cana-3198	114	2	marathwada	marathwada	PROPN
cana-3198	114	3	region	region	PROPN
cana-3198	114	4	primarily	primarily	ADV
cana-3198	114	5	has	have	VERB
cana-3198	114	6	silt	silt	NOUN
cana-3198	114	7	clay	clay	NOUN
cana-3198	114	8	loam	loam	NOUN
cana-3198	114	9	soil	soil	NOUN
cana-3198	114	10	.	.	PUNCT
cana-3198	115	1	3	3	X
cana-3198	115	2	.	.	X
cana-3198	115	3	machine	machine	NOUN
cana-3198	115	4	learning	learn	VERB
cana-3198	115	5	algorithms	algorithm	NOUN
cana-3198	115	6	for	for	ADP
cana-3198	115	7	classification	classification	NOUN
cana-3198	115	8	building	build	VERB
cana-3198	115	9	a	a	DET
cana-3198	115	10	machine	machine	NOUN
cana-3198	115	11	learning	learn	VERB
cana-3198	115	12	model	model	NOUN
cana-3198	115	13	requires	require	VERB
cana-3198	115	14	choosing	choose	VERB
cana-3198	115	15	from	from	ADP
cana-3198	115	16	a	a	DET
cana-3198	115	17	wide	wide	ADJ
cana-3198	115	18	variety	variety	NOUN
cana-3198	115	19	of	of	ADP
cana-3198	115	20	possibilities	possibility	NOUN
cana-3198	115	21	the	the	DET
cana-3198	115	22	best	good	ADJ
cana-3198	115	23	machine	machine	NOUN
cana-3198	115	24	learning	learning	NOUN
cana-3198	115	25	method	method	NOUN
cana-3198	115	26	for	for	ADP
cana-3198	115	27	a	a	DET
cana-3198	115	28	given	give	VERB
cana-3198	115	29	dataset	dataset	NOUN
cana-3198	115	30	and	and	CCONJ
cana-3198	115	31	problem	problem	NOUN
cana-3198	115	32	.	.	PUNCT
cana-3198	116	1	as	as	SCONJ
cana-3198	116	2	the	the	DET
cana-3198	116	3	world	world	NOUN
cana-3198	116	4	grows	grow	VERB
cana-3198	116	5	smarter	smart	ADJ
cana-3198	116	6	every	every	DET
cana-3198	116	7	day	day	NOUN
cana-3198	116	8	,	,	PUNCT
cana-3198	116	9	agriculture	agriculture	NOUN
cana-3198	116	10	firms	firm	NOUN
cana-3198	116	11	are	be	AUX
cana-3198	116	12	using	use	VERB
cana-3198	116	13	machine	machine	NOUN
cana-3198	116	14	learning	learn	VERB
cana-3198	116	15	algorithms	algorithm	NOUN
cana-3198	116	16	more	more	ADV
cana-3198	116	17	and	and	CCONJ
cana-3198	116	18	more	more	ADV
cana-3198	116	19	to	to	PART
cana-3198	116	20	simplify	simplify	VERB
cana-3198	116	21	things	thing	NOUN
cana-3198	116	22	like	like	ADP
cana-3198	116	23	decision	decision	NOUN
cana-3198	116	24	support	support	NOUN
cana-3198	116	25	systems	system	NOUN
cana-3198	116	26	and	and	CCONJ
cana-3198	116	27	end	end	NOUN
cana-3198	116	28	-	-	PUNCT
cana-3198	116	29	user	user	NOUN
cana-3198	116	30	devices	device	NOUN
cana-3198	116	31	in	in	ADP
cana-3198	116	32	order	order	NOUN
cana-3198	116	33	to	to	PART
cana-3198	116	34	satisfy	satisfy	VERB
cana-3198	116	35	customer	customer	NOUN
cana-3198	116	36	expectations	expectation	NOUN
cana-3198	116	37	.	.	PUNCT
cana-3198	117	1	it	it	PRON
cana-3198	117	2	applies	apply	VERB
cana-3198	117	3	methods	method	NOUN
cana-3198	117	4	from	from	ADP
cana-3198	117	5	both	both	CCONJ
cana-3198	117	6	supervised	supervised	ADJ
cana-3198	117	7	and	and	CCONJ
cana-3198	117	8	unsupervised	unsupervised	ADJ
cana-3198	117	9	machine	machine	NOUN
cana-3198	117	10	learning	learning	NOUN
cana-3198	117	11	.	.	PUNCT
cana-3198	118	1	one	one	NUM
cana-3198	118	2	characteristic	characteristic	NOUN
cana-3198	118	3	that	that	PRON
cana-3198	118	4	makes	make	VERB
cana-3198	118	5	supervised	supervised	ADJ
cana-3198	118	6	learning	learn	VERB
cana-3198	118	7	apart	apart	ADV
cana-3198	118	8	:	:	PUNCT
cana-3198	118	9	labeled	label	VERB
cana-3198	118	10	datasets	dataset	NOUN
cana-3198	118	11	.	.	PUNCT
cana-3198	119	1	the	the	DET
cana-3198	119	2	purpose	purpose	NOUN
cana-3198	119	3	of	of	ADP
cana-3198	119	4	the	the	DET
cana-3198	119	5	datasets	dataset	NOUN
cana-3198	119	6	is	be	AUX
cana-3198	119	7	to	to	PART
cana-3198	119	8	train	train	VERB
cana-3198	119	9	algorithms	algorithm	NOUN
cana-3198	119	10	to	to	PART
cana-3198	119	11	efficiently	efficiently	ADV
cana-3198	119	12	predict	predict	VERB
cana-3198	119	13	results	result	NOUN
cana-3198	119	14	or	or	CCONJ
cana-3198	119	15	categorize	categorize	VERB
cana-3198	119	16	data	datum	NOUN
cana-3198	119	17	.	.	PUNCT
cana-3198	120	1	after	after	SCONJ
cana-3198	120	2	the	the	DET
cana-3198	120	3	model	model	NOUN
cana-3198	120	4	's	's	PART
cana-3198	120	5	accuracy	accuracy	NOUN
cana-3198	120	6	is	be	AUX
cana-3198	120	7	verified	verify	VERB
cana-3198	120	8	with	with	ADP
cana-3198	120	9	labeled	label	VERB
cana-3198	120	10	inputs	input	NOUN
cana-3198	120	11	and	and	CCONJ
cana-3198	120	12	outputs	output	NOUN
cana-3198	120	13	.	.	PUNCT
cana-3198	121	1	without	without	ADP
cana-3198	121	2	requiring	require	VERB
cana-3198	121	3	human	human	ADJ
cana-3198	121	4	assistance	assistance	NOUN
cana-3198	121	5	,	,	PUNCT
cana-3198	121	6	hidden	hide	VERB
cana-3198	121	7	patterns	pattern	NOUN
cana-3198	121	8	in	in	ADP
cana-3198	121	9	data	datum	NOUN
cana-3198	121	10	are	be	AUX
cana-3198	121	11	found	find	VERB
cana-3198	121	12	.	.	PUNCT
cana-3198	122	1	two	two	NUM
cana-3198	122	2	distinct	distinct	ADJ
cana-3198	122	3	types	type	NOUN
cana-3198	122	4	of	of	ADP
cana-3198	122	5	algorithms	algorithm	NOUN
cana-3198	122	6	are	be	AUX
cana-3198	122	7	used	use	VERB
cana-3198	122	8	in	in	ADP
cana-3198	122	9	supervised	supervised	ADJ
cana-3198	122	10	learning	learn	VERB
cana-3198	122	11	[	[	X
cana-3198	122	12	16	16	NUM
cana-3198	122	13	]	]	PUNCT
cana-3198	122	14	.	.	PUNCT
cana-3198	123	1	the	the	DET
cana-3198	123	2	curve	curve	NOUN
cana-3198	123	3	line	line	NOUN
cana-3198	123	4	is	be	AUX
cana-3198	123	5	used	use	VERB
cana-3198	123	6	in	in	ADP
cana-3198	123	7	logistic	logistic	ADJ
cana-3198	123	8	regression	regression	NOUN
cana-3198	123	9	when	when	SCONJ
cana-3198	123	10	the	the	DET
cana-3198	123	11	target	target	NOUN
cana-3198	123	12	variable	variable	NOUN
cana-3198	123	13	is	be	AUX
cana-3198	123	14	continuous	continuous	ADJ
cana-3198	123	15	.	.	PUNCT
cana-3198	124	1	classification	classification	NOUN
cana-3198	124	2	:	:	PUNCT
cana-3198	124	3	machine	machine	NOUN
cana-3198	124	4	learning	learning	NOUN
cana-3198	124	5	,	,	PUNCT
cana-3198	124	6	naive	naive	ADJ
cana-3198	124	7	bayes	bayes	NOUN
cana-3198	124	8	,	,	PUNCT
cana-3198	124	9	k	k	PROPN
cana-3198	124	10	nearest	near	ADJ
cana-3198	124	11	neighbors	neighbor	NOUN
cana-3198	124	12	,	,	PUNCT
cana-3198	124	13	decision	decision	NOUN
cana-3198	124	14	trees	tree	NOUN
cana-3198	124	15	,	,	PUNCT
cana-3198	124	16	and	and	CCONJ
cana-3198	124	17	random	random	ADJ
cana-3198	124	18	forest	forest	NOUN
cana-3198	124	19	may	may	AUX
cana-3198	124	20	all	all	ADV
cana-3198	124	21	be	be	AUX
cana-3198	124	22	used	use	VERB
cana-3198	124	23	to	to	PART
cana-3198	124	24	classify	classify	VERB
cana-3198	124	25	the	the	DET
cana-3198	124	26	target	target	NOUN
cana-3198	124	27	variable	variable	NOUN
cana-3198	124	28	into	into	ADP
cana-3198	124	29	a	a	DET
cana-3198	124	30	number	number	NOUN
cana-3198	124	31	of	of	ADP
cana-3198	124	32	groups	group	NOUN
cana-3198	124	33	.	.	PUNCT
cana-3198	125	1	evaluation	evaluation	NOUN
cana-3198	125	2	metrics	metric	NOUN
cana-3198	125	3	like	like	VERB
cana-3198	125	4	as	as	ADP
cana-3198	125	5	accuracy	accuracy	NOUN
cana-3198	125	6	,	,	PUNCT
cana-3198	125	7	precision	precision	NOUN
cana-3198	125	8	,	,	PUNCT
cana-3198	125	9	recall	recall	NOUN
cana-3198	125	10	,	,	PUNCT
cana-3198	125	11	and	and	CCONJ
cana-3198	125	12	f1	f1	NOUN
cana-3198	125	13	-	-	PUNCT
cana-3198	125	14	score	score	NOUN
cana-3198	125	15	are	be	AUX
cana-3198	125	16	often	often	ADV
cana-3198	125	17	used	use	VERB
cana-3198	125	18	in	in	ADP
cana-3198	125	19	machine	machine	NOUN
cana-3198	125	20	learning	learning	NOUN
cana-3198	125	21	and	and	CCONJ
cana-3198	125	22	binary	binary	ADJ
cana-3198	125	23	/	/	SYM
cana-3198	125	24	multi	multi	ADJ
cana-3198	125	25	-	-	ADJ
cana-3198	125	26	class	class	ADJ
cana-3198	125	27	classification	classification	NOUN
cana-3198	125	28	problems	problem	NOUN
cana-3198	125	29	.	.	PUNCT
cana-3198	126	1	these	these	DET
cana-3198	126	2	measures	measure	NOUN
cana-3198	126	3	demonstrate	demonstrate	VERB
cana-3198	126	4	how	how	SCONJ
cana-3198	126	5	well	well	ADV
cana-3198	126	6	the	the	DET
cana-3198	126	7	model	model	NOUN
cana-3198	126	8	predicts	predict	VERB
cana-3198	126	9	both	both	CCONJ
cana-3198	126	10	favourable	favourable	ADJ
cana-3198	126	11	and	and	CCONJ
cana-3198	126	12	unfavourable	unfavourable	ADJ
cana-3198	126	13	results	result	NOUN
cana-3198	126	14	[	[	X
cana-3198	126	15	17	17	NUM
cana-3198	126	16	]	]	PUNCT
cana-3198	126	17	.	.	PUNCT
cana-3198	127	1	communications	communication	NOUN
cana-3198	127	2	on	on	ADP
cana-3198	127	3	applied	apply	VERB
cana-3198	127	4	nonlinear	nonlinear	ADJ
cana-3198	127	5	analysis	analysis	NOUN
cana-3198	127	6	issn	issn	NOUN
cana-3198	127	7	:	:	PUNCT
cana-3198	127	8	1074	1074	NUM
cana-3198	127	9	-	-	PUNCT
cana-3198	127	10	133x	133x	NUM
cana-3198	127	11	vol	vol	NOUN
cana-3198	127	12	32	32	NUM
cana-3198	127	13	no	no	NOUN
cana-3198	127	14	.	.	PUNCT
cana-3198	128	1	5s	5s	NUM
cana-3198	128	2	(	(	PUNCT
cana-3198	128	3	2025	2025	NUM
cana-3198	128	4	)	)	PUNCT
cana-3198	128	5	591	591	NUM
cana-3198	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3198	128	7	i.	i.	NOUN
cana-3198	128	8	accuracy	accuracy	NOUN
cana-3198	128	9	(	(	PUNCT
cana-3198	128	10	a	a	DET
cana-3198	128	11	)	)	PUNCT
cana-3198	128	12	accuracy	accuracy	NOUN
cana-3198	128	13	is	be	AUX
cana-3198	128	14	a	a	DET
cana-3198	128	15	metric	metric	NOUN
cana-3198	128	16	for	for	ADP
cana-3198	128	17	the	the	DET
cana-3198	128	18	model	model	NOUN
cana-3198	128	19	's	's	PART
cana-3198	128	20	total	total	ADJ
cana-3198	128	21	forecast	forecast	NOUN
cana-3198	128	22	accuracy	accuracy	NOUN
cana-3198	128	23	.	.	PUNCT
cana-3198	129	1	it	it	PRON
cana-3198	129	2	calculates	calculate	VERB
cana-3198	129	3	the	the	DET
cana-3198	129	4	proportion	proportion	NOUN
cana-3198	129	5	of	of	ADP
cana-3198	129	6	positively	positively	ADV
cana-3198	129	7	and	and	CCONJ
cana-3198	129	8	negatively	negatively	ADV
cana-3198	129	9	expected	expect	VERB
cana-3198	129	10	events	event	NOUN
cana-3198	129	11	that	that	PRON
cana-3198	129	12	actually	actually	ADV
cana-3198	129	13	happen	happen	VERB
cana-3198	129	14	relative	relative	ADJ
cana-3198	129	15	to	to	ADP
cana-3198	129	16	the	the	DET
cana-3198	129	17	total	total	ADJ
cana-3198	129	18	number	number	NOUN
cana-3198	129	19	of	of	ADP
cana-3198	129	20	instances	instance	NOUN
cana-3198	129	21	.	.	PUNCT
cana-3198	130	1	𝑎	𝑎	X
cana-3198	130	2	=	=	PUNCT
cana-3198	130	3	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	NOUN
cana-3198	130	4	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	PUNCT
cana-3198	130	5	…	…	PUNCT
cana-3198	130	6	(	(	PUNCT
cana-3198	130	7	1	1	NUM
cana-3198	130	8	)	)	PUNCT
cana-3198	130	9	ii	ii	PROPN
cana-3198	130	10	.	.	PUNCT
cana-3198	130	11	precision	precision	NOUN
cana-3198	130	12	(	(	PUNCT
cana-3198	130	13	p	p	X
cana-3198	130	14	)	)	PUNCT
cana-3198	130	15	the	the	DET
cana-3198	130	16	model	model	NOUN
cana-3198	130	17	's	's	PART
cana-3198	130	18	accuracy	accuracy	NOUN
cana-3198	130	19	shows	show	VERB
cana-3198	130	20	how	how	SCONJ
cana-3198	130	21	well	well	ADV
cana-3198	130	22	it	it	PRON
cana-3198	130	23	can	can	AUX
cana-3198	130	24	reliably	reliably	ADV
cana-3198	130	25	discern	discern	VERB
cana-3198	130	26	between	between	ADP
cana-3198	130	27	favorable	favorable	ADJ
cana-3198	130	28	and	and	CCONJ
cana-3198	130	29	predicted	predict	VERB
cana-3198	130	30	circumstances	circumstance	NOUN
cana-3198	130	31	.	.	PUNCT
cana-3198	131	1	it	it	PRON
cana-3198	131	2	is	be	AUX
cana-3198	131	3	computed	compute	VERB
cana-3198	131	4	to	to	PART
cana-3198	131	5	discover	discover	VERB
cana-3198	131	6	the	the	DET
cana-3198	131	7	ratio	ratio	NOUN
cana-3198	131	8	of	of	ADP
cana-3198	131	9	genuine	genuine	ADJ
cana-3198	131	10	positive	positive	ADJ
cana-3198	131	11	results	result	NOUN
cana-3198	131	12	to	to	ADP
cana-3198	131	13	the	the	DET
cana-3198	131	14	sum	sum	NOUN
cana-3198	131	15	of	of	ADP
cana-3198	131	16	false	false	ADJ
cana-3198	131	17	positive	positive	ADJ
cana-3198	131	18	and	and	CCONJ
cana-3198	131	19	true	true	ADJ
cana-3198	131	20	positive	positive	ADJ
cana-3198	131	21	results	result	NOUN
cana-3198	131	22	.	.	PUNCT
cana-3198	132	1	𝑝	𝑝	X
cana-3198	132	2	=	=	SYM
cana-3198	132	3	𝑇𝑃	𝑇𝑃	PROPN
cana-3198	132	4	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NOUN
cana-3198	132	5	…	…	PUNCT
cana-3198	132	6	(	(	PUNCT
cana-3198	132	7	2	2	NUM
cana-3198	132	8	)	)	PUNCT
cana-3198	132	9	iii.recall	iii.recall	PRON
cana-3198	132	10	(	(	PUNCT
cana-3198	132	11	r	r	NOUN
cana-3198	132	12	)	)	PUNCT
cana-3198	132	13	it	it	PRON
cana-3198	132	14	is	be	AUX
cana-3198	132	15	also	also	ADV
cana-3198	132	16	known	know	VERB
cana-3198	132	17	as	as	ADP
cana-3198	132	18	true	true	ADJ
cana-3198	132	19	positive	positive	ADJ
cana-3198	132	20	rate	rate	NOUN
cana-3198	132	21	or	or	CCONJ
cana-3198	132	22	sensitivity	sensitivity	NOUN
cana-3198	132	23	.	.	PUNCT
cana-3198	133	1	the	the	DET
cana-3198	133	2	model	model	NOUN
cana-3198	133	3	's	's	PART
cana-3198	133	4	recall	recall	NOUN
cana-3198	133	5	gauges	gauge	VERB
cana-3198	133	6	how	how	SCONJ
cana-3198	133	7	well	well	ADV
cana-3198	133	8	it	it	PRON
cana-3198	133	9	can	can	AUX
cana-3198	133	10	distinguish	distinguish	VERB
cana-3198	133	11	between	between	ADP
cana-3198	133	12	all	all	DET
cana-3198	133	13	real	real	ADJ
cana-3198	133	14	positive	positive	ADJ
cana-3198	133	15	examples	example	NOUN
cana-3198	133	16	and	and	CCONJ
cana-3198	133	17	genuine	genuine	ADJ
cana-3198	133	18	positive	positive	ADJ
cana-3198	133	19	cases	case	NOUN
cana-3198	133	20	.	.	PUNCT
cana-3198	134	1	the	the	DET
cana-3198	134	2	ratio	ratio	NOUN
cana-3198	134	3	of	of	ADP
cana-3198	134	4	true	true	ADJ
cana-3198	134	5	positives	positive	NOUN
cana-3198	134	6	to	to	ADP
cana-3198	134	7	the	the	DET
cana-3198	134	8	total	total	NOUN
cana-3198	134	9	of	of	ADP
cana-3198	134	10	false	false	ADJ
cana-3198	134	11	negatives	negative	NOUN
cana-3198	134	12	and	and	CCONJ
cana-3198	134	13	true	true	ADJ
cana-3198	134	14	positives	positive	NOUN
cana-3198	134	15	is	be	AUX
cana-3198	134	16	computed	compute	VERB
cana-3198	134	17	.	.	PUNCT
cana-3198	135	1	𝑟	𝑟	NOUN
cana-3198	135	2	=	=	SYM
cana-3198	135	3	𝑇𝑃	𝑇𝑃	NOUN
cana-3198	135	4	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
cana-3198	135	5	…	…	PUNCT
cana-3198	135	6	(	(	PUNCT
cana-3198	135	7	3	3	X
cana-3198	135	8	)	)	PUNCT
cana-3198	135	9	iv	iv	NOUN
cana-3198	135	10	.	.	PUNCT
cana-3198	136	1	f1	f1	NOUN
cana-3198	136	2	-	-	PUNCT
cana-3198	136	3	score	score	NOUN
cana-3198	136	4	it	it	PRON
cana-3198	136	5	is	be	AUX
cana-3198	136	6	computed	compute	VERB
cana-3198	136	7	as	as	ADP
cana-3198	136	8	the	the	DET
cana-3198	136	9	harmonic	harmonic	ADJ
cana-3198	136	10	mean	mean	NOUN
cana-3198	136	11	of	of	ADP
cana-3198	136	12	these	these	DET
cana-3198	136	13	two	two	NUM
cana-3198	136	14	measurements	measurement	NOUN
cana-3198	136	15	and	and	CCONJ
cana-3198	136	16	is	be	AUX
cana-3198	136	17	a	a	DET
cana-3198	136	18	balanced	balanced	ADJ
cana-3198	136	19	statistic	statistic	NOUN
cana-3198	136	20	that	that	PRON
cana-3198	136	21	accounts	account	VERB
cana-3198	136	22	for	for	ADP
cana-3198	136	23	accuracy	accuracy	NOUN
cana-3198	136	24	and	and	CCONJ
cana-3198	136	25	recall	recall	NOUN
cana-3198	136	26	.	.	PUNCT
cana-3198	137	1	when	when	SCONJ
cana-3198	137	2	the	the	DET
cana-3198	137	3	weights	weight	NOUN
cana-3198	137	4	of	of	ADP
cana-3198	137	5	recall	recall	NOUN
cana-3198	137	6	and	and	CCONJ
cana-3198	137	7	accuracy	accuracy	NOUN
cana-3198	137	8	are	be	AUX
cana-3198	137	9	identical	identical	ADJ
cana-3198	137	10	or	or	CCONJ
cana-3198	137	11	when	when	SCONJ
cana-3198	137	12	the	the	DET
cana-3198	137	13	classes	class	NOUN
cana-3198	137	14	are	be	AUX
cana-3198	137	15	distributed	distribute	VERB
cana-3198	137	16	unevenly	unevenly	ADV
cana-3198	137	17	.	.	PUNCT
cana-3198	138	1	𝐹1	𝐹1	PROPN
cana-3198	138	2	−	−	PROPN
cana-3198	138	3	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
cana-3198	138	4	=	=	SYM
cana-3198	138	5	2∗(𝑝∗𝑟	2∗(𝑝∗𝑟	NUM
cana-3198	138	6	)	)	PUNCT
cana-3198	138	7	𝑝+𝑟	𝑝+𝑟	PROPN
cana-3198	139	1	…	…	PUNCT
cana-3198	139	2	(	(	PUNCT
cana-3198	139	3	4	4	NUM
cana-3198	139	4	)	)	SYM
cana-3198	139	5	3.1	3.1	NUM
cana-3198	139	6	logistic	logistic	ADJ
cana-3198	139	7	regression	regression	NOUN
cana-3198	139	8	it	it	PRON
cana-3198	139	9	is	be	AUX
cana-3198	139	10	a	a	DET
cana-3198	139	11	binary	binary	ADJ
cana-3198	139	12	classification	classification	NOUN
cana-3198	139	13	method	method	NOUN
cana-3198	139	14	that	that	PRON
cana-3198	139	15	forecasts	forecast	VERB
cana-3198	139	16	the	the	DET
cana-3198	139	17	likelihood	likelihood	NOUN
cana-3198	139	18	that	that	SCONJ
cana-3198	139	19	an	an	DET
cana-3198	139	20	instance	instance	NOUN
cana-3198	139	21	will	will	AUX
cana-3198	139	22	fall	fall	VERB
cana-3198	139	23	into	into	ADP
cana-3198	139	24	a	a	DET
cana-3198	139	25	certain	certain	ADJ
cana-3198	139	26	class	class	NOUN
cana-3198	139	27	.	.	PUNCT
cana-3198	140	1	with	with	ADP
cana-3198	140	2	a	a	DET
cana-3198	140	3	precision	precision	NOUN
cana-3198	140	4	of	of	ADP
cana-3198	140	5	0.95	0.95	NUM
cana-3198	140	6	,	,	PUNCT
cana-3198	140	7	the	the	DET
cana-3198	140	8	model	model	NOUN
cana-3198	140	9	accurately	accurately	ADV
cana-3198	140	10	predicted	predict	VERB
cana-3198	140	11	that	that	SCONJ
cana-3198	140	12	95	95	NUM
cana-3198	140	13	%	%	NOUN
cana-3198	140	14	of	of	ADP
cana-3198	140	15	the	the	DET
cana-3198	140	16	occurrences	occurrence	NOUN
cana-3198	140	17	were	be	AUX
cana-3198	140	18	positive	positive	ADJ
cana-3198	140	19	.	.	PUNCT
cana-3198	141	1	the	the	DET
cana-3198	141	2	algorithm	algorithm	NOUN
cana-3198	141	3	properly	properly	ADV
cana-3198	141	4	identified	identify	VERB
cana-3198	141	5	90	90	NUM
cana-3198	141	6	%	%	NOUN
cana-3198	141	7	of	of	ADP
cana-3198	141	8	the	the	DET
cana-3198	141	9	positive	positive	ADJ
cana-3198	141	10	occurrences	occurrence	NOUN
cana-3198	141	11	with	with	ADP
cana-3198	141	12	a	a	DET
cana-3198	141	13	recall	recall	NOUN
cana-3198	141	14	.	.	PUNCT
cana-3198	142	1	the	the	DET
cana-3198	142	2	f1	f1	NOUN
cana-3198	142	3	-	-	PUNCT
cana-3198	142	4	score	score	NOUN
cana-3198	142	5	is	be	AUX
cana-3198	142	6	the	the	DET
cana-3198	142	7	harmonic	harmonic	ADJ
cana-3198	142	8	mean	mean	NOUN
cana-3198	142	9	of	of	ADP
cana-3198	142	10	recall	recall	NOUN
cana-3198	142	11	and	and	CCONJ
cana-3198	142	12	accuracy	accuracy	NOUN
cana-3198	142	13	,	,	PUNCT
cana-3198	142	14	which	which	PRON
cana-3198	142	15	equalizes	equalize	VERB
cana-3198	142	16	the	the	DET
cana-3198	142	17	two	two	NUM
cana-3198	142	18	.	.	PUNCT
cana-3198	143	1	figure	figure	NOUN
cana-3198	143	2	7	7	NUM
cana-3198	143	3	shows	show	VERB
cana-3198	143	4	that	that	SCONJ
cana-3198	143	5	91	91	NUM
cana-3198	143	6	%	%	NOUN
cana-3198	143	7	of	of	ADP
cana-3198	143	8	the	the	DET
cana-3198	143	9	instances	instance	NOUN
cana-3198	143	10	is	be	AUX
cana-3198	143	11	correctly	correctly	ADV
cana-3198	143	12	identified	identify	VERB
cana-3198	143	13	.	.	PUNCT
cana-3198	144	1	figure	figure	NOUN
cana-3198	144	2	7	7	NUM
cana-3198	144	3	.	.	PUNCT
cana-3198	144	4	logistic	logistic	ADJ
cana-3198	144	5	regression	regression	NOUN
cana-3198	144	6	confusion	confusion	NOUN
cana-3198	144	7	matrix	matrix	NOUN
cana-3198	144	8	ex	ex	NOUN
cana-3198	144	9	.	.	PROPN
cana-3198	144	10	accuracy	accuracy	NOUN
cana-3198	145	1	=	=	SYM
cana-3198	145	2	(	(	PUNCT
cana-3198	145	3	1	1	NUM
cana-3198	145	4	+	+	NOUN
cana-3198	145	5	29	29	NUM
cana-3198	145	6	)	)	PUNCT
cana-3198	145	7	/	/	PUNCT
cana-3198	145	8	(	(	PUNCT
cana-3198	145	9	1	1	NUM
cana-3198	145	10	+	+	NOUN
cana-3198	145	11	29	29	NUM
cana-3198	145	12	+	+	SYM
cana-3198	145	13	3	3	NUM
cana-3198	145	14	+	+	NOUN
cana-3198	145	15	0	0	NUM
cana-3198	145	16	)	)	PUNCT
cana-3198	145	17	=	=	PRON
cana-3198	145	18	(	(	PUNCT
cana-3198	145	19	30)/(33	30)/(33	NUM
cana-3198	145	20	)	)	PUNCT
cana-3198	145	21	=	=	SYM
cana-3198	145	22	0.91	0.91	NUM
cana-3198	145	23	communications	communication	NOUN
cana-3198	145	24	on	on	ADP
cana-3198	145	25	applied	apply	VERB
cana-3198	145	26	nonlinear	nonlinear	ADJ
cana-3198	145	27	analysis	analysis	NOUN
cana-3198	145	28	issn	issn	NOUN
cana-3198	145	29	:	:	PUNCT
cana-3198	145	30	1074	1074	NUM
cana-3198	145	31	-	-	PUNCT
cana-3198	145	32	133x	133x	NUM
cana-3198	145	33	vol	vol	NOUN
cana-3198	145	34	32	32	NUM
cana-3198	145	35	no	no	NOUN
cana-3198	145	36	.	.	PUNCT
cana-3198	146	1	5s	5s	NUM
cana-3198	146	2	(	(	PUNCT
cana-3198	146	3	2025	2025	NUM
cana-3198	146	4	)	)	PUNCT
cana-3198	146	5	592	592	NUM
cana-3198	146	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3198	146	7	3.2	3.2	NUM
cana-3198	146	8	k	k	ADV
cana-3198	146	9	-	-	PUNCT
cana-3198	146	10	nearest	near	ADJ
cana-3198	146	11	neighbour	neighbour	NOUN
cana-3198	146	12	(	(	PUNCT
cana-3198	146	13	knn	knn	PROPN
cana-3198	146	14	)	)	PUNCT
cana-3198	146	15	the	the	DET
cana-3198	146	16	non	non	ADJ
cana-3198	146	17	-	-	ADJ
cana-3198	146	18	parametric	parametric	ADJ
cana-3198	146	19	knn	knn	PROPN
cana-3198	146	20	classification	classification	NOUN
cana-3198	146	21	method	method	NOUN
cana-3198	146	22	uses	use	VERB
cana-3198	146	23	the	the	DET
cana-3198	146	24	majority	majority	NOUN
cana-3198	146	25	class	class	NOUN
cana-3198	146	26	of	of	ADP
cana-3198	146	27	an	an	DET
cana-3198	146	28	instance	instance	NOUN
cana-3198	146	29	's	's	PART
cana-3198	146	30	k	k	PROPN
cana-3198	146	31	nearest	near	ADJ
cana-3198	146	32	neighbours	neighbour	NOUN
cana-3198	146	33	to	to	PART
cana-3198	146	34	determine	determine	VERB
cana-3198	146	35	the	the	DET
cana-3198	146	36	class	class	NOUN
cana-3198	146	37	of	of	ADP
cana-3198	146	38	that	that	DET
cana-3198	146	39	instance	instance	NOUN
cana-3198	146	40	.	.	PUNCT
cana-3198	147	1	91	91	NUM
cana-3198	147	2	%	%	NOUN
cana-3198	147	3	of	of	ADP
cana-3198	147	4	the	the	DET
cana-3198	147	5	positive	positive	ADJ
cana-3198	147	6	occurrences	occurrence	NOUN
cana-3198	147	7	were	be	AUX
cana-3198	147	8	correctly	correctly	ADV
cana-3198	147	9	detected	detect	VERB
cana-3198	147	10	by	by	ADP
cana-3198	147	11	the	the	DET
cana-3198	147	12	model	model	NOUN
cana-3198	147	13	.	.	PUNCT
cana-3198	148	1	the	the	DET
cana-3198	148	2	f1	f1	NOUN
cana-3198	148	3	-	-	PUNCT
cana-3198	148	4	score	score	NOUN
cana-3198	148	5	of	of	ADP
cana-3198	148	6	0.88	0.88	NUM
cana-3198	148	7	strikes	strike	NOUN
cana-3198	148	8	a	a	DET
cana-3198	148	9	compromise	compromise	NOUN
cana-3198	148	10	between	between	ADP
cana-3198	148	11	recall	recall	NOUN
cana-3198	148	12	and	and	CCONJ
cana-3198	148	13	accuracy	accuracy	NOUN
cana-3198	148	14	.	.	PUNCT
cana-3198	149	1	89	89	NUM
cana-3198	149	2	%	%	NOUN
cana-3198	149	3	of	of	ADP
cana-3198	149	4	the	the	DET
cana-3198	149	5	instances	instance	NOUN
cana-3198	149	6	had	have	VERB
cana-3198	149	7	an	an	DET
cana-3198	149	8	accuracy	accuracy	NOUN
cana-3198	149	9	of	of	ADP
cana-3198	149	10	0.89	0.89	NUM
cana-3198	149	11	,	,	PUNCT
cana-3198	149	12	indicating	indicate	VERB
cana-3198	149	13	that	that	PRON
cana-3198	149	14	is	be	AUX
cana-3198	149	15	correctly	correctly	ADV
cana-3198	149	16	classified	classified	ADJ
cana-3198	149	17	.	.	PUNCT
cana-3198	150	1	3.3	3.3	NUM
cana-3198	150	2	svm	svm	NOUN
cana-3198	150	3	it	it	PRON
cana-3198	150	4	is	be	AUX
cana-3198	150	5	also	also	ADV
cana-3198	150	6	a	a	DET
cana-3198	150	7	binary	binary	ADJ
cana-3198	150	8	classification	classification	NOUN
cana-3198	150	9	method	method	NOUN
cana-3198	150	10	that	that	PRON
cana-3198	150	11	divides	divide	VERB
cana-3198	150	12	instances	instance	NOUN
cana-3198	150	13	by	by	ADP
cana-3198	150	14	creating	create	VERB
cana-3198	150	15	hyperplanes	hyperplane	NOUN
cana-3198	150	16	in	in	ADP
cana-3198	150	17	a	a	DET
cana-3198	150	18	highdimensional	highdimensional	ADJ
cana-3198	150	19	feature	feature	NOUN
cana-3198	150	20	space	space	NOUN
cana-3198	150	21	.	.	PUNCT
cana-3198	151	1	82	82	NUM
cana-3198	151	2	%	%	NOUN
cana-3198	151	3	of	of	ADP
cana-3198	151	4	the	the	DET
cana-3198	151	5	situations	situation	NOUN
cana-3198	151	6	that	that	PRON
cana-3198	151	7	the	the	DET
cana-3198	151	8	svm	svm	ADJ
cana-3198	151	9	model	model	NOUN
cana-3198	151	10	correctly	correctly	ADV
cana-3198	151	11	predicted	predict	VERB
cana-3198	151	12	as	as	ADP
cana-3198	151	13	positive	positive	ADJ
cana-3198	151	14	really	really	ADV
cana-3198	151	15	were	be	AUX
cana-3198	151	16	,	,	PUNCT
cana-3198	151	17	with	with	ADP
cana-3198	151	18	a	a	DET
cana-3198	151	19	precision	precision	NOUN
cana-3198	151	20	of	of	ADP
cana-3198	151	21	0.82	0.82	NUM
cana-3198	151	22	.	.	PUNCT
cana-3198	152	1	98	98	NUM
cana-3198	152	2	%	%	NOUN
cana-3198	152	3	of	of	ADP
cana-3198	152	4	the	the	DET
cana-3198	152	5	positive	positive	ADJ
cana-3198	152	6	occurrences	occurrence	NOUN
cana-3198	152	7	were	be	AUX
cana-3198	152	8	correctly	correctly	ADV
cana-3198	152	9	detected	detect	VERB
cana-3198	152	10	by	by	ADP
cana-3198	152	11	the	the	DET
cana-3198	152	12	model	model	NOUN
cana-3198	152	13	.	.	PUNCT
cana-3198	153	1	the	the	DET
cana-3198	153	2	f1	f1	NOUN
cana-3198	153	3	-	-	PUNCT
cana-3198	153	4	score	score	NOUN
cana-3198	153	5	of	of	ADP
cana-3198	153	6	0.90	0.90	NUM
cana-3198	153	7	strikes	strike	NOUN
cana-3198	153	8	a	a	DET
cana-3198	153	9	compromise	compromise	NOUN
cana-3198	153	10	between	between	ADP
cana-3198	153	11	recall	recall	NOUN
cana-3198	153	12	and	and	CCONJ
cana-3198	153	13	accuracy	accuracy	NOUN
cana-3198	153	14	.	.	PUNCT
cana-3198	154	1	93	93	NUM
cana-3198	154	2	%	%	NOUN
cana-3198	154	3	of	of	ADP
cana-3198	154	4	the	the	DET
cana-3198	154	5	instances	instance	NOUN
cana-3198	154	6	had	have	VERB
cana-3198	154	7	an	an	DET
cana-3198	154	8	accuracy	accuracy	NOUN
cana-3198	154	9	of	of	ADP
cana-3198	154	10	0.93	0.93	NUM
cana-3198	154	11	,	,	PUNCT
cana-3198	154	12	it	it	PRON
cana-3198	154	13	is	be	AUX
cana-3198	154	14	correctly	correctly	ADV
cana-3198	154	15	classified	classified	ADJ
cana-3198	154	16	.	.	PUNCT
cana-3198	155	1	3.4	3.4	NUM
cana-3198	155	2	decision	decision	NOUN
cana-3198	155	3	tree	tree	NOUN
cana-3198	155	4	it	it	PRON
cana-3198	155	5	is	be	AUX
cana-3198	155	6	a	a	DET
cana-3198	155	7	well	well	ADV
cana-3198	155	8	-	-	PUNCT
cana-3198	155	9	liked	like	VERB
cana-3198	155	10	machine	machine	NOUN
cana-3198	155	11	-	-	PUNCT
cana-3198	155	12	learning	learn	VERB
cana-3198	155	13	method	method	NOUN
cana-3198	155	14	that	that	PRON
cana-3198	155	15	creates	create	VERB
cana-3198	155	16	predictions	prediction	NOUN
cana-3198	155	17	using	use	VERB
cana-3198	155	18	a	a	DET
cana-3198	155	19	hierarchical	hierarchical	ADJ
cana-3198	155	20	framework	framework	NOUN
cana-3198	155	21	.	.	PUNCT
cana-3198	156	1	the	the	DET
cana-3198	156	2	decision	decision	NOUN
cana-3198	156	3	tree	tree	NOUN
cana-3198	156	4	model	model	NOUN
cana-3198	156	5	correctly	correctly	ADV
cana-3198	156	6	predicted	predict	VERB
cana-3198	156	7	every	every	DET
cana-3198	156	8	positive	positive	ADJ
cana-3198	156	9	occurrence	occurrence	NOUN
cana-3198	156	10	with	with	ADP
cana-3198	156	11	a	a	DET
cana-3198	156	12	precision	precision	NOUN
cana-3198	156	13	of	of	ADP
cana-3198	156	14	1.00	1.00	NUM
cana-3198	156	15	.	.	PUNCT
cana-3198	157	1	98	98	NUM
cana-3198	157	2	%	%	NOUN
cana-3198	157	3	of	of	ADP
cana-3198	157	4	the	the	DET
cana-3198	157	5	positive	positive	ADJ
cana-3198	157	6	occurrences	occurrence	NOUN
cana-3198	157	7	were	be	AUX
cana-3198	157	8	correctly	correctly	ADV
cana-3198	157	9	detected	detect	VERB
cana-3198	157	10	by	by	ADP
cana-3198	157	11	the	the	DET
cana-3198	157	12	model	model	NOUN
cana-3198	157	13	.	.	PUNCT
cana-3198	158	1	the	the	DET
cana-3198	158	2	f1	f1	NOUN
cana-3198	158	3	-	-	PUNCT
cana-3198	158	4	score	score	NOUN
cana-3198	158	5	of	of	ADP
cana-3198	158	6	0.99	0.99	NUM
cana-3198	158	7	strikes	strike	NOUN
cana-3198	158	8	a	a	DET
cana-3198	158	9	balance	balance	NOUN
cana-3198	158	10	between	between	ADP
cana-3198	158	11	recall	recall	NOUN
cana-3198	158	12	and	and	CCONJ
cana-3198	158	13	accuracy	accuracy	NOUN
cana-3198	158	14	.	.	PUNCT
cana-3198	159	1	98	98	NUM
cana-3198	159	2	%	%	NOUN
cana-3198	159	3	of	of	ADP
cana-3198	159	4	the	the	DET
cana-3198	159	5	instances	instance	NOUN
cana-3198	159	6	had	have	VERB
cana-3198	159	7	an	an	DET
cana-3198	159	8	accuracy	accuracy	NOUN
cana-3198	159	9	of	of	ADP
cana-3198	159	10	0.98	0.98	NUM
cana-3198	159	11	,	,	PUNCT
cana-3198	159	12	it	it	PRON
cana-3198	159	13	is	be	AUX
cana-3198	159	14	correctly	correctly	ADV
cana-3198	159	15	classified	classified	ADJ
cana-3198	159	16	.	.	PUNCT
cana-3198	160	1	3.5	3.5	NUM
cana-3198	160	2	random	random	ADJ
cana-3198	160	3	forest	forest	NOUN
cana-3198	160	4	in	in	ADP
cana-3198	160	5	order	order	NOUN
cana-3198	160	6	to	to	PART
cana-3198	160	7	generate	generate	VERB
cana-3198	160	8	predictions	prediction	NOUN
cana-3198	160	9	,	,	PUNCT
cana-3198	160	10	this	this	DET
cana-3198	160	11	ensemble	ensemble	ADJ
cana-3198	160	12	learning	learning	NOUN
cana-3198	160	13	technique	technique	NOUN
cana-3198	160	14	integrates	integrate	VERB
cana-3198	160	15	many	many	ADJ
cana-3198	160	16	decision	decision	NOUN
cana-3198	160	17	trees	tree	NOUN
cana-3198	160	18	.	.	PUNCT
cana-3198	161	1	98	98	NUM
cana-3198	161	2	%	%	NOUN
cana-3198	161	3	of	of	ADP
cana-3198	161	4	the	the	DET
cana-3198	161	5	situations	situation	NOUN
cana-3198	161	6	that	that	PRON
cana-3198	161	7	the	the	DET
cana-3198	161	8	random	random	ADJ
cana-3198	161	9	forest	forest	NOUN
cana-3198	161	10	model	model	NOUN
cana-3198	161	11	accurately	accurately	ADV
cana-3198	161	12	predicted	predict	VERB
cana-3198	161	13	as	as	ADP
cana-3198	161	14	positive	positive	ADJ
cana-3198	161	15	were	be	AUX
cana-3198	161	16	in	in	ADP
cana-3198	161	17	fact	fact	NOUN
cana-3198	161	18	true	true	ADJ
cana-3198	161	19	positives	positive	NOUN
cana-3198	161	20	.	.	PUNCT
cana-3198	162	1	91	91	NUM
cana-3198	162	2	%	%	NOUN
cana-3198	162	3	of	of	ADP
cana-3198	162	4	the	the	DET
cana-3198	162	5	positive	positive	ADJ
cana-3198	162	6	occurrences	occurrence	NOUN
cana-3198	162	7	were	be	AUX
cana-3198	162	8	correctly	correctly	ADV
cana-3198	162	9	detected	detect	VERB
cana-3198	162	10	by	by	ADP
cana-3198	162	11	the	the	DET
cana-3198	162	12	model	model	NOUN
cana-3198	162	13	.	.	PUNCT
cana-3198	163	1	the	the	DET
cana-3198	163	2	f1	f1	NOUN
cana-3198	163	3	-	-	PUNCT
cana-3198	163	4	score	score	NOUN
cana-3198	163	5	of	of	ADP
cana-3198	163	6	0.94	0.94	NUM
cana-3198	163	7	strikes	strike	VERB
cana-3198	163	8	a	a	DET
cana-3198	163	9	compromise	compromise	NOUN
cana-3198	163	10	between	between	ADP
cana-3198	163	11	recall	recall	NOUN
cana-3198	163	12	and	and	CCONJ
cana-3198	163	13	accuracy	accuracy	NOUN
cana-3198	163	14	.	.	PUNCT
cana-3198	164	1	96	96	NUM
cana-3198	164	2	%	%	NOUN
cana-3198	164	3	of	of	ADP
cana-3198	164	4	the	the	DET
cana-3198	164	5	instances	instance	NOUN
cana-3198	164	6	had	have	VERB
cana-3198	164	7	an	an	DET
cana-3198	164	8	accuracy	accuracy	NOUN
cana-3198	164	9	of	of	ADP
cana-3198	164	10	0.96	0.96	NUM
cana-3198	164	11	,	,	PUNCT
cana-3198	164	12	indicating	indicate	VERB
cana-3198	164	13	correct	correct	ADJ
cana-3198	164	14	categorization	categorization	NOUN
cana-3198	164	15	.	.	PUNCT
cana-3198	165	1	these	these	DET
cana-3198	165	2	performance	performance	NOUN
cana-3198	165	3	metrics	metric	NOUN
cana-3198	165	4	help	help	AUX
cana-3198	165	5	determine	determine	VERB
cana-3198	165	6	which	which	DET
cana-3198	165	7	machine	machine	NOUN
cana-3198	165	8	-	-	PUNCT
cana-3198	165	9	learning	learn	VERB
cana-3198	165	10	algorithms	algorithm	NOUN
cana-3198	165	11	are	be	AUX
cana-3198	165	12	most	most	ADV
cana-3198	165	13	appropriate	appropriate	ADJ
cana-3198	165	14	for	for	ADP
cana-3198	165	15	a	a	DET
cana-3198	165	16	given	give	VERB
cana-3198	165	17	task	task	NOUN
cana-3198	165	18	.	.	PUNCT
cana-3198	166	1	the	the	DET
cana-3198	166	2	specific	specific	ADJ
cana-3198	166	3	requirements	requirement	NOUN
cana-3198	166	4	and	and	CCONJ
cana-3198	166	5	trade	trade	NOUN
cana-3198	166	6	-	-	PUNCT
cana-3198	166	7	offs	off	NOUN
cana-3198	166	8	between	between	ADP
cana-3198	166	9	accuracy	accuracy	NOUN
cana-3198	166	10	,	,	PUNCT
cana-3198	166	11	precision	precision	NOUN
cana-3198	166	12	,	,	PUNCT
cana-3198	166	13	recall	recall	NOUN
cana-3198	166	14	,	,	PUNCT
cana-3198	166	15	and	and	CCONJ
cana-3198	166	16	f1score	f1score	NOUN
cana-3198	166	17	dictate	dictate	VERB
cana-3198	166	18	the	the	DET
cana-3198	166	19	chosen	choose	VERB
cana-3198	166	20	strategy	strategy	NOUN
cana-3198	166	21	(	(	PUNCT
cana-3198	166	22	table	table	NOUN
cana-3198	166	23	2	2	NUM
cana-3198	166	24	)	)	PUNCT
cana-3198	166	25	.	.	PUNCT
cana-3198	167	1	table	table	NOUN
cana-3198	167	2	2	2	NUM
cana-3198	167	3	:	:	PUNCT
cana-3198	167	4	performance	performance	NOUN
cana-3198	167	5	measures	measure	NOUN
cana-3198	167	6	for	for	ADP
cana-3198	167	7	algorithms	algorithm	NOUN
cana-3198	167	8	in	in	ADP
cana-3198	167	9	machine	machine	NOUN
cana-3198	167	10	learning	learn	VERB
cana-3198	167	11	sr	sr	PROPN
cana-3198	167	12	.	.	PUNCT
cana-3198	168	1	no	no	INTJ
cana-3198	168	2	.	.	PUNCT
cana-3198	169	1	name	name	NOUN
cana-3198	169	2	of	of	ADP
cana-3198	169	3	ml	ml	NOUN
cana-3198	169	4	techniques	technique	NOUN
cana-3198	169	5	precision	precision	NOUN
cana-3198	169	6	recall	recall	VERB
cana-3198	169	7	f1	f1	NOUN
cana-3198	169	8	-	-	PUNCT
cana-3198	169	9	score	score	NOUN
cana-3198	169	10	accuracy	accuracy	NOUN
cana-3198	169	11	1	1	NUM
cana-3198	169	12	.	.	PUNCT
cana-3198	169	13	logistic	logistic	ADJ
cana-3198	169	14	regression	regression	NOUN
cana-3198	169	15	0.95	0.95	NUM
cana-3198	169	16	0.90	0.90	NUM
cana-3198	169	17	0.92	0.92	NUM
cana-3198	169	18	0.91	0.91	NUM
cana-3198	169	19	2	2	NUM
cana-3198	169	20	.	.	PUNCT
cana-3198	170	1	knn	knn	PROPN
cana-3198	170	2	model	model	PROPN
cana-3198	170	3	0.86	0.86	NUM
cana-3198	170	4	0.91	0.91	NUM
cana-3198	170	5	0.88	0.88	NUM
cana-3198	170	6	0.89	0.89	NUM
cana-3198	170	7	3	3	NUM
cana-3198	170	8	.	.	PUNCT
cana-3198	171	1	svm	svm	PROPN
cana-3198	171	2	model	model	NOUN
cana-3198	171	3	0.82	0.82	NUM
cana-3198	171	4	0.98	0.98	NUM
cana-3198	171	5	0.90	0.90	NUM
cana-3198	171	6	0.93	0.93	NUM
cana-3198	171	7	4	4	NUM
cana-3198	171	8	.	.	PUNCT
cana-3198	172	1	decision	decision	NOUN
cana-3198	172	2	tree	tree	NOUN
cana-3198	172	3	model	model	NOUN
cana-3198	172	4	1.00	1.00	NUM
cana-3198	172	5	0.98	0.98	NUM
cana-3198	172	6	0.99	0.99	NUM
cana-3198	172	7	0.98	0.98	NUM
cana-3198	172	8	5	5	NUM
cana-3198	172	9	.	.	PUNCT
cana-3198	172	10	random	random	ADJ
cana-3198	172	11	forest	forest	NOUN
cana-3198	172	12	model	model	NOUN
cana-3198	173	1	0.98	0.98	NUM
cana-3198	173	2	0.91	0.91	NUM
cana-3198	173	3	0.94	0.94	NUM
cana-3198	173	4	0.96	0.96	NUM
cana-3198	173	5	machine	machine	NOUN
cana-3198	173	6	learning	learning	NOUN
cana-3198	173	7	methods	method	NOUN
cana-3198	173	8	are	be	AUX
cana-3198	173	9	used	use	VERB
cana-3198	173	10	to	to	PART
cana-3198	173	11	chemical	chemical	ADJ
cana-3198	173	12	soil	soil	NOUN
cana-3198	173	13	analysis	analysis	NOUN
cana-3198	173	14	and	and	CCONJ
cana-3198	173	15	asd	asd	PROPN
cana-3198	173	16	data	data	PROPN
cana-3198	173	17	.	.	PUNCT
cana-3198	174	1	for	for	ADP
cana-3198	174	2	the	the	DET
cana-3198	174	3	asd	asd	PROPN
cana-3198	174	4	fieldspec	fieldspec	PROPN
cana-3198	174	5	data	datum	NOUN
cana-3198	174	6	,	,	PUNCT
cana-3198	174	7	it	it	PRON
cana-3198	174	8	was	be	AUX
cana-3198	174	9	able	able	ADJ
cana-3198	174	10	to	to	PART
cana-3198	174	11	calculate	calculate	VERB
cana-3198	174	12	the	the	DET
cana-3198	174	13	accuracy	accuracy	NOUN
cana-3198	174	14	values	value	NOUN
cana-3198	174	15	for	for	ADP
cana-3198	174	16	random	random	ADJ
cana-3198	174	17	forest	forest	NOUN
cana-3198	174	18	,	,	PUNCT
cana-3198	174	19	knn	knn	PROPN
cana-3198	174	20	,	,	PUNCT
cana-3198	174	21	svm	svm	ADJ
cana-3198	174	22	,	,	PUNCT
cana-3198	174	23	decision	decision	NOUN
cana-3198	174	24	tree	tree	NOUN
cana-3198	174	25	,	,	PUNCT
cana-3198	174	26	and	and	CCONJ
cana-3198	174	27	logistic	logistic	ADJ
cana-3198	174	28	regression	regression	NOUN
cana-3198	174	29	as	as	SCONJ
cana-3198	174	30	follows	follow	VERB
cana-3198	174	31	:	:	PUNCT
cana-3198	174	32	91	91	NUM
cana-3198	174	33	%	%	NOUN
cana-3198	174	34	,	,	PUNCT
cana-3198	174	35	89	89	NUM
cana-3198	174	36	%	%	NOUN
cana-3198	174	37	,	,	PUNCT
cana-3198	174	38	93	93	NUM
cana-3198	174	39	%	%	NOUN
cana-3198	174	40	,	,	PUNCT
cana-3198	174	41	98	98	NUM
cana-3198	174	42	%	%	NOUN
cana-3198	174	43	,	,	PUNCT
cana-3198	174	44	and	and	CCONJ
cana-3198	174	45	96	96	NUM
cana-3198	174	46	%	%	NOUN
cana-3198	174	47	,	,	PUNCT
cana-3198	174	48	respectively	respectively	ADV
cana-3198	174	49	.	.	PUNCT
cana-3198	175	1	in	in	ADP
cana-3198	175	2	chemical	chemical	ADJ
cana-3198	175	3	analysis	analysis	NOUN
cana-3198	175	4	,	,	PUNCT
cana-3198	175	5	the	the	DET
cana-3198	175	6	corresponding	corresponding	ADJ
cana-3198	175	7	accuracy	accuracy	NOUN
cana-3198	175	8	values	value	NOUN
cana-3198	175	9	for	for	ADP
cana-3198	175	10	svm	svm	PROPN
cana-3198	175	11	,	,	PUNCT
cana-3198	175	12	knn	knn	PROPN
cana-3198	175	13	,	,	PUNCT
cana-3198	175	14	random	random	ADJ
cana-3198	175	15	forest	forest	NOUN
cana-3198	175	16	,	,	PUNCT
cana-3198	175	17	decision	decision	NOUN
cana-3198	175	18	tree	tree	NOUN
cana-3198	175	19	,	,	PUNCT
cana-3198	175	20	and	and	CCONJ
cana-3198	175	21	logistic	logistic	ADJ
cana-3198	175	22	regression	regression	NOUN
cana-3198	175	23	are	be	AUX
cana-3198	175	24	90	90	NUM
cana-3198	175	25	%	%	NOUN
cana-3198	175	26	,	,	PUNCT
cana-3198	175	27	86	86	NUM
cana-3198	175	28	%	%	NOUN
cana-3198	175	29	,	,	PUNCT
cana-3198	175	30	92	92	NUM
cana-3198	175	31	%	%	NOUN
cana-3198	175	32	,	,	PUNCT
cana-3198	175	33	97	97	NUM
cana-3198	175	34	%	%	NOUN
cana-3198	175	35	,	,	PUNCT
cana-3198	175	36	and	and	CCONJ
cana-3198	175	37	92	92	NUM
cana-3198	175	38	%	%	NOUN
cana-3198	175	39	.	.	PUNCT
cana-3198	176	1	for	for	ADP
cana-3198	176	2	the	the	DET
cana-3198	176	3	asd	asd	PROPN
cana-3198	176	4	fieldspec	fieldspec	PROPN
cana-3198	176	5	and	and	CCONJ
cana-3198	176	6	chemical	chemical	PROPN
cana-3198	176	7	data	datum	NOUN
cana-3198	176	8	,	,	PUNCT
cana-3198	176	9	it	it	PRON
cana-3198	176	10	is	be	AUX
cana-3198	176	11	communications	communication	NOUN
cana-3198	176	12	on	on	ADP
cana-3198	176	13	applied	apply	VERB
cana-3198	176	14	nonlinear	nonlinear	ADJ
cana-3198	176	15	analysis	analysis	NOUN
cana-3198	176	16	issn	issn	NOUN
cana-3198	176	17	:	:	PUNCT
cana-3198	176	18	1074	1074	NUM
cana-3198	176	19	-	-	PUNCT
cana-3198	176	20	133x	133x	NUM
cana-3198	176	21	vol	vol	NOUN
cana-3198	176	22	32	32	NUM
cana-3198	176	23	no	no	NOUN
cana-3198	176	24	.	.	PUNCT
cana-3198	177	1	5s	5s	NUM
cana-3198	177	2	(	(	PUNCT
cana-3198	177	3	2025	2025	NUM
cana-3198	177	4	)	)	PUNCT
cana-3198	177	5	593	593	NUM
cana-3198	177	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3198	177	7	discovered	discover	VERB
cana-3198	177	8	that	that	SCONJ
cana-3198	177	9	decision	decision	NOUN
cana-3198	177	10	tree	tree	NOUN
cana-3198	177	11	algorithms	algorithm	NOUN
cana-3198	177	12	yielded	yield	VERB
cana-3198	177	13	the	the	DET
cana-3198	177	14	highest	high	ADJ
cana-3198	177	15	accuracy	accuracy	NOUN
cana-3198	177	16	rates	rate	NOUN
cana-3198	177	17	,	,	PUNCT
cana-3198	177	18	98	98	NUM
cana-3198	177	19	%	%	NOUN
cana-3198	177	20	and	and	CCONJ
cana-3198	177	21	97	97	NUM
cana-3198	177	22	%	%	NOUN
cana-3198	177	23	,	,	PUNCT
cana-3198	177	24	respectively	respectively	ADV
cana-3198	177	25	.	.	PUNCT
cana-3198	178	1	asd	asd	PROPN
cana-3198	178	2	fieldspec	fieldspec	PROPN
cana-3198	178	3	data	datum	NOUN
cana-3198	178	4	is	be	AUX
cana-3198	178	5	now	now	ADV
cana-3198	178	6	more	more	ADV
cana-3198	178	7	accurate	accurate	ADJ
cana-3198	178	8	compared	compare	VERB
cana-3198	178	9	to	to	ADP
cana-3198	178	10	all	all	DET
cana-3198	178	11	supervised	supervised	ADJ
cana-3198	178	12	machine	machine	NOUN
cana-3198	178	13	learning	learn	VERB
cana-3198	178	14	techniques	technique	NOUN
cana-3198	178	15	.	.	PUNCT
cana-3198	179	1	3.6	3.6	NUM
cana-3198	179	2	soil	soil	NOUN
cana-3198	179	3	and	and	CCONJ
cana-3198	179	4	climate	climate	NOUN
cana-3198	179	5	correlation	correlation	NOUN
cana-3198	179	6	correlation	correlation	NOUN
cana-3198	179	7	is	be	AUX
cana-3198	179	8	closely	closely	ADV
cana-3198	179	9	related	relate	VERB
cana-3198	179	10	to	to	ADP
cana-3198	179	11	the	the	DET
cana-3198	179	12	statistical	statistical	ADJ
cana-3198	179	13	metrics	metric	NOUN
cana-3198	179	14	of	of	ADP
cana-3198	179	15	variance	variance	NOUN
cana-3198	179	16	,	,	PUNCT
cana-3198	179	17	standard	standard	ADJ
cana-3198	179	18	deviation	deviation	NOUN
cana-3198	179	19	,	,	PUNCT
cana-3198	179	20	covariance	covariance	NOUN
cana-3198	179	21	,	,	PUNCT
cana-3198	179	22	and	and	CCONJ
cana-3198	179	23	mean	mean	VERB
cana-3198	179	24	.	.	PUNCT
cana-3198	180	1	statistics	statistic	NOUN
cana-3198	180	2	and	and	CCONJ
cana-3198	180	3	data	datum	NOUN
cana-3198	180	4	science	science	NOUN
cana-3198	180	5	frequently	frequently	ADV
cana-3198	180	6	study	study	VERB
cana-3198	180	7	relationships	relationship	NOUN
cana-3198	180	8	between	between	ADP
cana-3198	180	9	two	two	NUM
cana-3198	180	10	/	/	SYM
cana-3198	180	11	more	more	ADJ
cana-3198	180	12	dataset	dataset	ADJ
cana-3198	180	13	variables	variable	NOUN
cana-3198	180	14	.	.	PUNCT
cana-3198	181	1	a	a	DET
cana-3198	181	2	data	data	NOUN
cana-3198	181	3	point	point	NOUN
cana-3198	181	4	,	,	PUNCT
cana-3198	181	5	also	also	ADV
cana-3198	181	6	known	know	VERB
cana-3198	181	7	as	as	ADP
cana-3198	181	8	a	a	DET
cana-3198	181	9	feature	feature	NOUN
cana-3198	181	10	,	,	PUNCT
cana-3198	181	11	represents	represent	VERB
cana-3198	181	12	the	the	DET
cana-3198	181	13	attributes	attribute	NOUN
cana-3198	181	14	or	or	CCONJ
cana-3198	181	15	qualities	quality	NOUN
cana-3198	181	16	of	of	ADP
cana-3198	181	17	every	every	DET
cana-3198	181	18	observation	observation	NOUN
cana-3198	181	19	in	in	ADP
cana-3198	181	20	the	the	DET
cana-3198	181	21	collection	collection	NOUN
cana-3198	181	22	.	.	PUNCT
cana-3198	182	1	it	it	PRON
cana-3198	182	2	has	have	AUX
cana-3198	182	3	employed	employ	VERB
cana-3198	182	4	variables	variable	NOUN
cana-3198	182	5	and	and	CCONJ
cana-3198	182	6	observations	observation	NOUN
cana-3198	182	7	for	for	ADP
cana-3198	182	8	each	each	DET
cana-3198	182	9	dataset	dataset	NOUN
cana-3198	182	10	.	.	PUNCT
cana-3198	183	1	the	the	DET
cana-3198	183	2	dataset	dataset	NOUN
cana-3198	183	3	shows	show	VERB
cana-3198	183	4	the	the	DET
cana-3198	183	5	following	follow	VERB
cana-3198	183	6	parameters	parameter	NOUN
cana-3198	183	7	:	:	PUNCT
cana-3198	183	8	number	number	NOUN
cana-3198	183	9	of	of	ADP
cana-3198	183	10	wet	wet	ADJ
cana-3198	183	11	days	day	NOUN
cana-3198	183	12	,	,	PUNCT
cana-3198	183	13	mean	mean	VERB
cana-3198	183	14	and	and	CCONJ
cana-3198	183	15	lowest	low	ADJ
cana-3198	183	16	temperatures	temperature	NOUN
cana-3198	183	17	,	,	PUNCT
cana-3198	183	18	mean	mean	ADJ
cana-3198	183	19	and	and	CCONJ
cana-3198	183	20	maximum	maximum	ADJ
cana-3198	183	21	temperatures	temperature	NOUN
cana-3198	183	22	,	,	PUNCT
cana-3198	183	23	relative	relative	ADJ
cana-3198	183	24	humidity	humidity	NOUN
cana-3198	183	25	,	,	PUNCT
cana-3198	183	26	mean	mean	NOUN
cana-3198	183	27	station	station	NOUN
cana-3198	183	28	,	,	PUNCT
cana-3198	184	1	mean	mean	VERB
cana-3198	184	2	sea	sea	NOUN
cana-3198	184	3	level	level	NOUN
cana-3198	184	4	pressure	pressure	NOUN
cana-3198	184	5	,	,	PUNCT
cana-3198	184	6	total	total	ADJ
cana-3198	184	7	monthly	monthly	ADJ
cana-3198	184	8	rainfall	rainfall	NOUN
cana-3198	184	9	,	,	PUNCT
cana-3198	184	10	amount	amount	NOUN
cana-3198	184	11	of	of	ADP
cana-3198	184	12	rain	rain	NOUN
cana-3198	184	13	in	in	ADP
cana-3198	184	14	a	a	DET
cana-3198	184	15	24	24	NUM
cana-3198	184	16	-	-	PUNCT
cana-3198	184	17	hour	hour	NOUN
cana-3198	184	18	period	period	NOUN
cana-3198	184	19	,	,	PUNCT
cana-3198	184	20	and	and	CCONJ
cana-3198	184	21	sea	sea	NOUN
cana-3198	184	22	level	level	NOUN
cana-3198	184	23	pressure	pressure	NOUN
cana-3198	184	24	.	.	PUNCT
cana-3198	185	1	table	table	NOUN
cana-3198	185	2	3	3	NUM
cana-3198	185	3	displays	display	VERB
cana-3198	185	4	the	the	DET
cana-3198	185	5	data	datum	NOUN
cana-3198	185	6	;	;	PUNCT
cana-3198	185	7	the	the	DET
cana-3198	185	8	rows	row	NOUN
cana-3198	185	9	usually	usually	ADV
cana-3198	185	10	represent	represent	VERB
cana-3198	185	11	the	the	DET
cana-3198	185	12	observations	observation	NOUN
cana-3198	185	13	,	,	PUNCT
cana-3198	185	14	and	and	CCONJ
cana-3198	185	15	the	the	DET
cana-3198	185	16	columns	column	NOUN
cana-3198	185	17	usually	usually	ADV
cana-3198	185	18	relate	relate	VERB
cana-3198	185	19	to	to	ADP
cana-3198	185	20	the	the	DET
cana-3198	185	21	attributes	attribute	NOUN
cana-3198	185	22	.	.	PUNCT
cana-3198	186	1	a	a	DET
cana-3198	186	2	single	single	ADJ
cana-3198	186	3	weather	weather	NOUN
cana-3198	186	4	factor	factor	NOUN
cana-3198	186	5	observation	observation	NOUN
cana-3198	186	6	or	or	CCONJ
cana-3198	186	7	piece	piece	NOUN
cana-3198	186	8	of	of	ADP
cana-3198	186	9	information	information	NOUN
cana-3198	186	10	is	be	AUX
cana-3198	186	11	represented	represent	VERB
cana-3198	186	12	by	by	ADP
cana-3198	186	13	each	each	DET
cana-3198	186	14	entry	entry	NOUN
cana-3198	186	15	.	.	PUNCT
cana-3198	187	1	one	one	NUM
cana-3198	187	2	feature	feature	NOUN
cana-3198	187	3	for	for	ADP
cana-3198	187	4	the	the	DET
cana-3198	187	5	entire	entire	ADJ
cana-3198	187	6	set	set	NOUN
cana-3198	187	7	of	of	ADP
cana-3198	187	8	meteorological	meteorological	ADJ
cana-3198	187	9	data	datum	NOUN
cana-3198	187	10	is	be	AUX
cana-3198	187	11	shown	show	VERB
cana-3198	187	12	in	in	ADP
cana-3198	187	13	each	each	DET
cana-3198	187	14	column	column	NOUN
cana-3198	187	15	.	.	PUNCT
cana-3198	188	1	it	it	PRON
cana-3198	188	2	examined	examine	VERB
cana-3198	188	3	a	a	DET
cana-3198	188	4	dataset	dataset	NOUN
cana-3198	188	5	where	where	SCONJ
cana-3198	188	6	each	each	DET
cana-3198	188	7	pair	pair	NOUN
cana-3198	188	8	of	of	ADP
cana-3198	188	9	attributes	attribute	NOUN
cana-3198	188	10	had	have	VERB
cana-3198	188	11	some	some	DET
cana-3198	188	12	sort	sort	NOUN
cana-3198	188	13	of	of	ADP
cana-3198	188	14	relationship	relationship	NOUN
cana-3198	188	15	.	.	PUNCT
cana-3198	189	1	table	table	NOUN
cana-3198	189	2	3	3	NUM
cana-3198	189	3	:	:	PUNCT
cana-3198	189	4	soil	soil	NOUN
cana-3198	189	5	and	and	CCONJ
cana-3198	189	6	climate	climate	NOUN
cana-3198	189	7	data	datum	NOUN
cana-3198	189	8	correlation	correlation	NOUN
cana-3198	189	9	n	n	PRON
cana-3198	189	10	p	p	X
cana-3198	189	11	k	k	X
cana-3198	189	12	ph	ph	PROPN
cana-3198	189	13	humidity	humidity	NOUN
cana-3198	189	14	rainfall	rainfall	NOUN
cana-3198	189	15	temp	temp	NOUN
cana-3198	189	16	n	n	ADV
cana-3198	189	17	1.00	1.00	NUM
cana-3198	189	18	0.68	0.68	NUM
cana-3198	189	19	0.84	0.84	NUM
cana-3198	189	20	-0.02	-0.02	NUM
cana-3198	189	21	-0.01	-0.01	NUM
cana-3198	189	22	0.00	0.00	NUM
cana-3198	189	23	-0.14	-0.14	NOUN
cana-3198	189	24	p	p	NOUN
cana-3198	189	25	0.68	0.68	NUM
cana-3198	189	26	1.00	1.00	NUM
cana-3198	189	27	0.76	0.76	NUM
cana-3198	189	28	-0.18	-0.18	NUM
cana-3198	189	29	-0.01	-0.01	NUM
cana-3198	189	30	0.00	0.00	NUM
cana-3198	189	31	-0.09	-0.09	NUM
cana-3198	189	32	k	k	NOUN
cana-3198	190	1	0.84	0.84	NUM
cana-3198	190	2	0.76	0.76	NUM
cana-3198	190	3	1.00	1.00	NUM
cana-3198	190	4	-0.07	-0.07	NUM
cana-3198	190	5	-0.01	-0.01	NUM
cana-3198	190	6	0.00	0.00	NUM
cana-3198	190	7	0.01	0.01	NUM
cana-3198	190	8	ph	ph	NOUN
cana-3198	190	9	-0.02	-0.02	X
cana-3198	190	10	-0.18	-0.18	NUM
cana-3198	190	11	-0.07	-0.07	NUM
cana-3198	190	12	1.00	1.00	NUM
cana-3198	190	13	0.00	0.00	NUM
cana-3198	190	14	-0.01	-0.01	NUM
cana-3198	190	15	0.26	0.26	NUM
cana-3198	190	16	humidity	humidity	NOUN
cana-3198	190	17	-0.01	-0.01	NUM
cana-3198	190	18	-0.01	-0.01	NUM
cana-3198	190	19	-0.01	-0.01	NUM
cana-3198	190	20	0.00	0.00	NUM
cana-3198	190	21	1.00	1.00	NUM
cana-3198	190	22	-0.06	-0.06	NUM
cana-3198	190	23	0.02	0.02	NUM
cana-3198	190	24	rainfall	rainfall	NOUN
cana-3198	190	25	0.00	0.00	NUM
cana-3198	190	26	0.00	0.00	NUM
cana-3198	190	27	0.00	0.00	NUM
cana-3198	190	28	-0.01	-0.01	NUM
cana-3198	190	29	-0.06	-0.06	NUM
cana-3198	190	30	1.00	1.00	NUM
cana-3198	190	31	-0.01	-0.01	NUM
cana-3198	190	32	temp	temp	NOUN
cana-3198	190	33	-0.14	-0.14	PRON
cana-3198	190	34	-0.09	-0.09	NUM
cana-3198	190	35	0.01	0.01	NUM
cana-3198	190	36	0.26	0.26	NUM
cana-3198	190	37	0.02	0.02	NUM
cana-3198	190	38	-0.01	-0.01	NUM
cana-3198	190	39	1.0	1.0	NUM
cana-3198	190	40	while	while	SCONJ
cana-3198	190	41	the	the	DET
cana-3198	190	42	n	n	CCONJ
cana-3198	190	43	,	,	PUNCT
cana-3198	190	44	p	p	X
cana-3198	190	45	,	,	PUNCT
cana-3198	190	46	and	and	CCONJ
cana-3198	190	47	k	k	PROPN
cana-3198	190	48	have	have	VERB
cana-3198	190	49	a	a	DET
cana-3198	190	50	strong	strong	ADJ
cana-3198	190	51	negative	negative	ADJ
cana-3198	190	52	correlation	correlation	NOUN
cana-3198	190	53	with	with	ADP
cana-3198	190	54	temperature	temperature	NOUN
cana-3198	190	55	,	,	PUNCT
cana-3198	190	56	humidity	humidity	NOUN
cana-3198	190	57	,	,	PUNCT
cana-3198	190	58	rainfall	rainfall	NOUN
cana-3198	190	59	,	,	PUNCT
cana-3198	190	60	and	and	CCONJ
cana-3198	190	61	rainfall	rainfall	NOUN
cana-3198	190	62	,	,	PUNCT
cana-3198	190	63	the	the	DET
cana-3198	190	64	ph	ph	NOUN
cana-3198	190	65	has	have	VERB
cana-3198	190	66	a	a	DET
cana-3198	190	67	negative	negative	ADJ
cana-3198	190	68	relationship	relationship	NOUN
cana-3198	190	69	with	with	ADP
cana-3198	190	70	both	both	CCONJ
cana-3198	190	71	humidity	humidity	NOUN
cana-3198	190	72	and	and	CCONJ
cana-3198	190	73	rainfall	rainfall	NOUN
cana-3198	190	74	.	.	PUNCT
cana-3198	191	1	ph	ph	ADJ
cana-3198	191	2	and	and	CCONJ
cana-3198	191	3	temperature	temperature	NOUN
cana-3198	191	4	are	be	AUX
cana-3198	191	5	no	no	DET
cana-3198	191	6	correlation	correlation	NOUN
cana-3198	191	7	.	.	PUNCT
cana-3198	192	1	the	the	DET
cana-3198	192	2	n	n	NOUN
cana-3198	192	3	is	be	AUX
cana-3198	192	4	positive	positive	ADJ
cana-3198	192	5	correlation	correlation	NOUN
cana-3198	192	6	with	with	ADP
cana-3198	192	7	both	both	CCONJ
cana-3198	192	8	p	p	NOUN
cana-3198	192	9	and	and	CCONJ
cana-3198	192	10	k	k	PROPN
cana-3198	192	11	and	and	CCONJ
cana-3198	192	12	vice	vice	ADV
cana-3198	192	13	versa	versa	ADV
cana-3198	192	14	.	.	PUNCT
cana-3198	193	1	the	the	DET
cana-3198	193	2	pattern	pattern	NOUN
cana-3198	193	3	of	of	ADP
cana-3198	193	4	rainfall	rainfall	NOUN
cana-3198	193	5	in	in	ADP
cana-3198	193	6	every	every	DET
cana-3198	193	7	district	district	NOUN
cana-3198	193	8	in	in	ADP
cana-3198	193	9	the	the	DET
cana-3198	193	10	marathwada	marathwada	PROPN
cana-3198	193	11	region	region	PROPN
cana-3198	193	12	has	have	AUX
cana-3198	193	13	changed	change	VERB
cana-3198	193	14	.	.	PUNCT
cana-3198	194	1	the	the	DET
cana-3198	194	2	tendency	tendency	NOUN
cana-3198	194	3	for	for	ADP
cana-3198	194	4	wet	wet	ADJ
cana-3198	194	5	days	day	NOUN
cana-3198	194	6	is	be	AUX
cana-3198	194	7	declining	decline	VERB
cana-3198	194	8	,	,	PUNCT
cana-3198	194	9	while	while	SCONJ
cana-3198	194	10	trends	trend	NOUN
cana-3198	194	11	in	in	ADP
cana-3198	194	12	temperature	temperature	NOUN
cana-3198	194	13	,	,	PUNCT
cana-3198	194	14	precipitation	precipitation	NOUN
cana-3198	194	15	,	,	PUNCT
cana-3198	194	16	and	and	CCONJ
cana-3198	194	17	heavy	heavy	ADJ
cana-3198	194	18	precipitation	precipitation	NOUN
cana-3198	194	19	are	be	AUX
cana-3198	194	20	all	all	PRON
cana-3198	194	21	increasing	increase	VERB
cana-3198	194	22	.	.	PUNCT
cana-3198	195	1	the	the	DET
cana-3198	195	2	quality	quality	NOUN
cana-3198	195	3	of	of	ADP
cana-3198	195	4	the	the	DET
cana-3198	195	5	soil	soil	NOUN
cana-3198	195	6	is	be	AUX
cana-3198	195	7	impacted	impact	VERB
cana-3198	195	8	by	by	ADP
cana-3198	195	9	an	an	DET
cana-3198	195	10	increase	increase	NOUN
cana-3198	195	11	in	in	ADP
cana-3198	195	12	rainfall	rainfall	NOUN
cana-3198	195	13	but	but	CCONJ
cana-3198	195	14	a	a	DET
cana-3198	195	15	decrease	decrease	NOUN
cana-3198	195	16	in	in	ADP
cana-3198	195	17	the	the	DET
cana-3198	195	18	number	number	NOUN
cana-3198	195	19	of	of	ADP
cana-3198	195	20	wet	wet	ADJ
cana-3198	195	21	days	day	NOUN
cana-3198	195	22	.	.	PUNCT
cana-3198	196	1	4	4	X
cana-3198	196	2	.	.	X
cana-3198	196	3	conclusion	conclusion	NOUN
cana-3198	196	4	the	the	DET
cana-3198	196	5	soil	soil	NOUN
cana-3198	196	6	spectral	spectral	ADJ
cana-3198	196	7	library	library	NOUN
cana-3198	196	8	was	be	AUX
cana-3198	196	9	created	create	VERB
cana-3198	196	10	using	use	VERB
cana-3198	196	11	chemical	chemical	ADJ
cana-3198	196	12	analysis	analysis	NOUN
cana-3198	196	13	and	and	CCONJ
cana-3198	196	14	an	an	DET
cana-3198	196	15	asd	asd	NOUN
cana-3198	196	16	fieldspec	fieldspec	NOUN
cana-3198	196	17	4	4	NUM
cana-3198	196	18	spectroradiometer	spectroradiometer	VERB
cana-3198	196	19	with	with	ADP
cana-3198	196	20	a	a	DET
cana-3198	196	21	350–2500	350–2500	NUM
cana-3198	196	22	nm	nm	ADJ
cana-3198	196	23	wavelength	wavelength	NOUN
cana-3198	196	24	range	range	NOUN
cana-3198	196	25	.	.	PUNCT
cana-3198	197	1	this	this	DET
cana-3198	197	2	study	study	NOUN
cana-3198	197	3	made	make	VERB
cana-3198	197	4	use	use	NOUN
cana-3198	197	5	of	of	ADP
cana-3198	197	6	soil	soil	NOUN
cana-3198	197	7	samples	sample	NOUN
cana-3198	197	8	with	with	ADP
cana-3198	197	9	hyperspectral	hyperspectral	ADJ
cana-3198	197	10	visible	visible	ADJ
cana-3198	197	11	and	and	CCONJ
cana-3198	197	12	near	near	ADV
cana-3198	197	13	-	-	PUNCT
cana-3198	197	14	infrared	infrare	VERB
cana-3198	197	15	bands	band	NOUN
cana-3198	197	16	as	as	ADV
cana-3198	197	17	well	well	ADV
cana-3198	197	18	as	as	ADP
cana-3198	197	19	the	the	DET
cana-3198	197	20	climate	climate	NOUN
cana-3198	197	21	dataset	dataset	NOUN
cana-3198	197	22	.	.	PUNCT
cana-3198	198	1	the	the	DET
cana-3198	198	2	analysis	analysis	NOUN
cana-3198	198	3	's	's	PART
cana-3198	198	4	preprocessing	preprocessing	NOUN
cana-3198	198	5	techniques	technique	NOUN
cana-3198	198	6	are	be	AUX
cana-3198	198	7	finished	finish	VERB
cana-3198	198	8	.	.	PUNCT
cana-3198	199	1	this	this	DET
cana-3198	199	2	specific	specific	ADJ
cana-3198	199	3	equipment	equipment	NOUN
cana-3198	199	4	is	be	AUX
cana-3198	199	5	used	use	VERB
cana-3198	199	6	to	to	PART
cana-3198	199	7	assess	assess	VERB
cana-3198	199	8	the	the	DET
cana-3198	199	9	texture	texture	NOUN
cana-3198	199	10	(	(	PUNCT
cana-3198	199	11	sand	sand	NOUN
cana-3198	199	12	,	,	PUNCT
cana-3198	199	13	silt	silt	NOUN
cana-3198	199	14	,	,	PUNCT
cana-3198	199	15	and	and	CCONJ
cana-3198	199	16	clay	clay	NOUN
cana-3198	199	17	)	)	PUNCT
cana-3198	199	18	and	and	CCONJ
cana-3198	199	19	physical	physical	ADJ
cana-3198	199	20	and	and	CCONJ
cana-3198	199	21	chemical	chemical	NOUN
cana-3198	199	22	properties	property	NOUN
cana-3198	199	23	of	of	ADP
cana-3198	199	24	soil	soil	NOUN
cana-3198	199	25	,	,	PUNCT
cana-3198	199	26	such	such	ADJ
cana-3198	199	27	as	as	ADP
cana-3198	199	28	potassium	potassium	NOUN
cana-3198	199	29	(	(	PUNCT
cana-3198	199	30	k	k	NOUN
cana-3198	199	31	)	)	PUNCT
cana-3198	199	32	,	,	PUNCT
cana-3198	199	33	phosphorus	phosphorus	NOUN
cana-3198	199	34	(	(	PUNCT
cana-3198	199	35	p	p	NOUN
cana-3198	199	36	)	)	PUNCT
cana-3198	199	37	,	,	PUNCT
cana-3198	199	38	and	and	CCONJ
cana-3198	199	39	nitrogen	nitrogen	NOUN
cana-3198	199	40	(	(	PUNCT
cana-3198	199	41	n	n	CCONJ
cana-3198	199	42	)	)	PUNCT
cana-3198	199	43	.	.	PUNCT
cana-3198	200	1	it	it	PRON
cana-3198	200	2	has	have	AUX
cana-3198	200	3	been	be	AUX
cana-3198	200	4	observed	observe	VERB
cana-3198	200	5	that	that	SCONJ
cana-3198	200	6	properties	property	NOUN
cana-3198	200	7	of	of	ADP
cana-3198	200	8	both	both	CCONJ
cana-3198	200	9	chemical	chemical	ADJ
cana-3198	200	10	and	and	CCONJ
cana-3198	200	11	physical	physical	ADJ
cana-3198	200	12	nature	nature	NOUN
cana-3198	200	13	are	be	AUX
cana-3198	200	14	investigated	investigate	VERB
cana-3198	200	15	in	in	ADP
cana-3198	200	16	the	the	DET
cana-3198	200	17	hyperspectral	hyperspectral	ADJ
cana-3198	200	18	band	band	NOUN
cana-3198	200	19	.	.	PUNCT
cana-3198	201	1	the	the	DET
cana-3198	201	2	marathwada	marathwada	PROPN
cana-3198	201	3	region	region	PROPN
cana-3198	201	4	of	of	ADP
cana-3198	201	5	maharashtra	maharashtra	PROPN
cana-3198	201	6	state	state	PROPN
cana-3198	201	7	provided	provide	VERB
cana-3198	201	8	the	the	DET
cana-3198	201	9	experiment	experiment	NOUN
cana-3198	201	10	's	's	PART
cana-3198	201	11	climate	climate	NOUN
cana-3198	201	12	and	and	CCONJ
cana-3198	201	13	soil	soil	NOUN
cana-3198	201	14	sample	sample	NOUN
cana-3198	201	15	database	database	NOUN
cana-3198	201	16	;	;	PUNCT
cana-3198	201	17	these	these	PRON
cana-3198	201	18	included	include	VERB
cana-3198	201	19	ch	ch	NOUN
cana-3198	201	20	.	.	PROPN
cana-3198	201	21	sambhajinagar	sambhajinagar	NOUN
cana-3198	201	22	,	,	PUNCT
cana-3198	201	23	jalna	jalna	PROPN
cana-3198	201	24	,	,	PUNCT
cana-3198	201	25	parbhani	parbhani	NOUN
cana-3198	201	26	,	,	PUNCT
cana-3198	201	27	hingoli	hingoli	NOUN
cana-3198	201	28	,	,	PUNCT
cana-3198	201	29	nanded	nanded	PROPN
cana-3198	201	30	,	,	PUNCT
cana-3198	201	31	latur	latur	PROPN
cana-3198	201	32	,	,	PUNCT
cana-3198	201	33	osmanabad	osmanabad	ADJ
cana-3198	201	34	,	,	PUNCT
cana-3198	201	35	and	and	CCONJ
cana-3198	201	36	beed	beed	VERB
cana-3198	201	37	.	.	PUNCT
cana-3198	202	1	supervised	supervised	ADJ
cana-3198	202	2	machine	machine	NOUN
cana-3198	202	3	learning	learning	NOUN
cana-3198	202	4	is	be	AUX
cana-3198	202	5	used	use	VERB
cana-3198	202	6	to	to	PART
cana-3198	202	7	classify	classify	VERB
cana-3198	202	8	soil	soil	NOUN
cana-3198	202	9	spectral	spectral	ADJ
cana-3198	202	10	signatures	signature	NOUN
cana-3198	202	11	.	.	PUNCT
cana-3198	203	1	the	the	DET
cana-3198	203	2	communications	communication	NOUN
cana-3198	203	3	on	on	ADP
cana-3198	203	4	applied	apply	VERB
cana-3198	203	5	nonlinear	nonlinear	ADJ
cana-3198	203	6	analysis	analysis	NOUN
cana-3198	203	7	issn	issn	NOUN
cana-3198	203	8	:	:	PUNCT
cana-3198	203	9	1074	1074	NUM
cana-3198	203	10	-	-	PUNCT
cana-3198	203	11	133x	133x	NUM
cana-3198	203	12	vol	vol	NOUN
cana-3198	203	13	32	32	NUM
cana-3198	203	14	no	no	NOUN
cana-3198	203	15	.	.	PUNCT
cana-3198	204	1	5s	5s	NUM
cana-3198	204	2	(	(	PUNCT
cana-3198	204	3	2025	2025	NUM
cana-3198	204	4	)	)	PUNCT
cana-3198	204	5	594	594	NUM
cana-3198	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3198	204	7	soil	soil	NOUN
cana-3198	204	8	type	type	NOUN
cana-3198	204	9	of	of	ADP
cana-3198	204	10	the	the	DET
cana-3198	204	11	marathwada	marathwada	PROPN
cana-3198	204	12	area	area	NOUN
cana-3198	204	13	is	be	AUX
cana-3198	204	14	categorized	categorize	VERB
cana-3198	204	15	as	as	ADP
cana-3198	204	16	silt	silt	NOUN
cana-3198	204	17	clay	clay	NOUN
cana-3198	204	18	loam	loam	PROPN
cana-3198	204	19	.	.	PUNCT
cana-3198	205	1	supervised	supervise	VERB
cana-3198	205	2	machine	machine	NOUN
cana-3198	205	3	learning	learning	NOUN
cana-3198	205	4	algorithms	algorithm	NOUN
cana-3198	205	5	produced	produce	VERB
cana-3198	205	6	remarkably	remarkably	ADV
cana-3198	205	7	accurate	accurate	ADJ
cana-3198	205	8	results	result	NOUN
cana-3198	205	9	,	,	PUNCT
cana-3198	205	10	with	with	ADP
cana-3198	205	11	decision	decision	NOUN
cana-3198	205	12	tree	tree	NOUN
cana-3198	205	13	methods	method	NOUN
cana-3198	205	14	reaching	reach	VERB
cana-3198	205	15	up	up	ADP
cana-3198	205	16	to	to	PART
cana-3198	205	17	98	98	NUM
cana-3198	205	18	%	%	NOUN
cana-3198	205	19	for	for	ADP
cana-3198	205	20	asd	asd	PROPN
cana-3198	205	21	fieldspec	fieldspec	PROPN
cana-3198	205	22	data	datum	NOUN
cana-3198	205	23	and	and	CCONJ
cana-3198	205	24	97	97	NUM
cana-3198	205	25	%	%	NOUN
cana-3198	205	26	for	for	ADP
cana-3198	205	27	chemical	chemical	NOUN
cana-3198	205	28	(	(	PUNCT
cana-3198	205	29	analysis	analysis	NOUN
cana-3198	205	30	)	)	PUNCT
cana-3198	205	31	testing	testing	NOUN
cana-3198	205	32	.	.	PUNCT
cana-3198	206	1	references	reference	NOUN
cana-3198	206	2	[	[	X
cana-3198	206	3	1	1	NUM
cana-3198	206	4	]	]	X
cana-3198	206	5	gore	gore	PROPN
cana-3198	206	6	,	,	PUNCT
cana-3198	206	7	r.d	r.d	PROPN
cana-3198	206	8	.	.	PROPN
cana-3198	206	9	and	and	CCONJ
cana-3198	206	10	gawali	gawali	PROPN
cana-3198	206	11	,	,	PUNCT
cana-3198	206	12	b.w	b.w	PROPN
cana-3198	206	13	.	.	PROPN
cana-3198	206	14	,	,	PUNCT
cana-3198	206	15	2021	2021	NUM
cana-3198	206	16	.	.	PUNCT
cana-3198	207	1	vulnerability	vulnerability	NOUN
cana-3198	207	2	assessment	assessment	NOUN
cana-3198	207	3	of	of	ADP
cana-3198	207	4	climate	climate	NOUN
cana-3198	207	5	-	-	PUNCT
cana-3198	207	6	smart	smart	ADJ
cana-3198	207	7	agriculture	agriculture	NOUN
cana-3198	207	8	.	.	PUNCT
cana-3198	208	1	in	in	ADP
cana-3198	208	2	recent	recent	ADJ
cana-3198	208	3	trends	trend	NOUN
cana-3198	208	4	in	in	ADP
cana-3198	208	5	image	image	NOUN
cana-3198	208	6	processing	processing	NOUN
cana-3198	208	7	and	and	CCONJ
cana-3198	208	8	pattern	pattern	NOUN
cana-3198	208	9	recognition	recognition	NOUN
cana-3198	208	10	:	:	PUNCT
cana-3198	208	11	third	third	ADJ
cana-3198	208	12	international	international	ADJ
cana-3198	208	13	conference	conference	NOUN
cana-3198	208	14	,	,	PUNCT
cana-3198	208	15	rtip2r	rtip2r	PROPN
cana-3198	208	16	2020	2020	NUM
cana-3198	208	17	,	,	PUNCT
cana-3198	208	18	aurangabad	aurangabad	PROPN
cana-3198	208	19	,	,	PUNCT
cana-3198	208	20	india	india	PROPN
cana-3198	208	21	,	,	PUNCT
cana-3198	208	22	january	january	PROPN
cana-3198	208	23	3–4	3–4	NUM
cana-3198	208	24	,	,	PUNCT
cana-3198	208	25	2020	2020	NUM
cana-3198	208	26	,	,	PUNCT
cana-3198	208	27	revised	revise	VERB
cana-3198	208	28	selected	selected	ADJ
cana-3198	208	29	papers	paper	NOUN
cana-3198	208	30	,	,	PUNCT
cana-3198	208	31	part	part	NOUN
cana-3198	208	32	ii	ii	PROPN
cana-3198	208	33	3	3	NUM
cana-3198	208	34	(	(	PUNCT
cana-3198	208	35	pp	pp	ADJ
cana-3198	208	36	.	.	PUNCT
cana-3198	209	1	290	290	NUM
cana-3198	209	2	-	-	SYM
cana-3198	209	3	301	301	NUM
cana-3198	209	4	)	)	PUNCT
cana-3198	209	5	.	.	PUNCT
cana-3198	210	1	springer	springer	PROPN
cana-3198	210	2	singapore	singapore	PROPN
cana-3198	210	3	.	.	PUNCT
cana-3198	211	1	https://doi.org/10.1007/978981-16-0493-5_26	https://doi.org/10.1007/978981-16-0493-5_26	PROPN
cana-3198	211	2	[	[	X
cana-3198	211	3	2	2	NUM
cana-3198	211	4	]	]	X
cana-3198	211	5	ajatasatru	ajatasatru	PROPN
cana-3198	211	6	,	,	PUNCT
cana-3198	211	7	a.	a.	PROPN
cana-3198	211	8	,	,	PUNCT
cana-3198	211	9	prabhu	prabhu	NOUN
cana-3198	211	10	,	,	PUNCT
cana-3198	211	11	v.	v.	ADP
cana-3198	211	12	,	,	PUNCT
cana-3198	211	13	pal	pal	NOUN
cana-3198	211	14	,	,	PUNCT
cana-3198	211	15	b.d	b.d	PROPN
cana-3198	211	16	.	.	PROPN
cana-3198	211	17	and	and	CCONJ
cana-3198	211	18	mukhopadhyay	mukhopadhyay	PROPN
cana-3198	211	19	,	,	PUNCT
cana-3198	211	20	k.	k.	PROPN
cana-3198	211	21	,	,	PUNCT
cana-3198	211	22	2024	2024	NUM
cana-3198	211	23	.	.	PUNCT
cana-3198	212	1	economy	economy	NOUN
cana-3198	212	2	-	-	PUNCT
cana-3198	212	3	wide	wide	ADJ
cana-3198	212	4	impact	impact	NOUN
cana-3198	212	5	of	of	ADP
cana-3198	212	6	climate	climate	NOUN
cana-3198	212	7	smart	smart	ADJ
cana-3198	212	8	agriculture	agriculture	NOUN
cana-3198	212	9	in	in	ADP
cana-3198	212	10	india	india	PROPN
cana-3198	212	11	:	:	PUNCT
cana-3198	212	12	a	a	DET
cana-3198	212	13	sam	sam	PROPN
cana-3198	212	14	framework	framework	NOUN
cana-3198	212	15	.	.	PUNCT
cana-3198	213	1	journal	journal	NOUN
cana-3198	213	2	of	of	ADP
cana-3198	213	3	economic	economic	ADJ
cana-3198	213	4	structures	structure	NOUN
cana-3198	213	5	,	,	PUNCT
cana-3198	213	6	13(1	13(1	NUM
cana-3198	213	7	)	)	PUNCT
cana-3198	213	8	,	,	PUNCT
cana-3198	213	9	p.4	p.4	X
cana-3198	213	10	,	,	PUNCT
cana-3198	213	11	https://doi.org/10.1186/s40008023-00320-z	https://doi.org/10.1186/s40008023-00320-z	PROPN
cana-3198	213	12	.	.	PUNCT
cana-3198	214	1	[	[	X
cana-3198	214	2	3	3	NUM
cana-3198	214	3	]	]	X
cana-3198	214	4	samuel	samuel	PROPN
cana-3198	214	5	,	,	PUNCT
cana-3198	214	6	j.	j.	PROPN
cana-3198	214	7	and	and	CCONJ
cana-3198	214	8	rama	rama	PROPN
cana-3198	214	9	rao	rao	PROPN
cana-3198	214	10	,	,	PUNCT
cana-3198	214	11	c.a	c.a	PROPN
cana-3198	214	12	.	.	PROPN
cana-3198	214	13	,	,	PUNCT
cana-3198	214	14	2024	2024	NUM
cana-3198	214	15	.	.	PUNCT
cana-3198	215	1	enhancing	enhance	VERB
cana-3198	215	2	farm	farm	NOUN
cana-3198	215	3	income	income	NOUN
cana-3198	215	4	resilience	resilience	NOUN
cana-3198	215	5	through	through	ADP
cana-3198	215	6	climate	climate	NOUN
cana-3198	215	7	smart	smart	ADJ
cana-3198	215	8	agriculture	agriculture	NOUN
cana-3198	215	9	in	in	ADP
cana-3198	215	10	drought	drought	NOUN
cana-3198	215	11	-	-	PUNCT
cana-3198	215	12	prone	prone	ADJ
cana-3198	215	13	regions	region	NOUN
cana-3198	215	14	of	of	ADP
cana-3198	215	15	india	india	PROPN
cana-3198	215	16	.	.	PUNCT
cana-3198	216	1	frontiers	frontier	NOUN
cana-3198	216	2	in	in	ADP
cana-3198	216	3	water	water	NOUN
cana-3198	216	4	,	,	PUNCT
cana-3198	216	5	6	6	NUM
cana-3198	216	6	,	,	PUNCT
cana-3198	216	7	p.1327651	p.1327651	NOUN
cana-3198	216	8	.	.	PUNCT
cana-3198	217	1	https://doi.org/10.3389/frwa.2024.1327651	https://doi.org/10.3389/frwa.2024.1327651	PROPN
cana-3198	218	1	[	[	X
cana-3198	218	2	4	4	NUM
cana-3198	218	3	]	]	X
cana-3198	218	4	abhilash	abhilash	ADJ
cana-3198	218	5	,	,	PUNCT
cana-3198	218	6	rani	rani	NOUN
cana-3198	218	7	,	,	PUNCT
cana-3198	218	8	a.	a.	PROPN
cana-3198	218	9	,	,	PUNCT
cana-3198	218	10	kumari	kumari	PROPN
cana-3198	218	11	,	,	PUNCT
cana-3198	218	12	a.	a.	PROPN
cana-3198	218	13	,	,	PUNCT
cana-3198	218	14	singh	singh	PROPN
cana-3198	218	15	,	,	PUNCT
cana-3198	218	16	r.n	r.n	PROPN
cana-3198	218	17	.	.	PROPN
cana-3198	218	18	and	and	CCONJ
cana-3198	218	19	kumari	kumari	PROPN
cana-3198	218	20	,	,	PUNCT
cana-3198	218	21	k.	k.	PROPN
cana-3198	218	22	,	,	PUNCT
cana-3198	218	23	2021	2021	NUM
cana-3198	218	24	.	.	PUNCT
cana-3198	218	25	climate	climate	NOUN
cana-3198	218	26	-	-	PUNCT
cana-3198	218	27	smart	smart	ADJ
cana-3198	218	28	agriculture	agriculture	NOUN
cana-3198	218	29	:	:	PUNCT
cana-3198	218	30	an	an	DET
cana-3198	218	31	integrated	integrated	ADJ
cana-3198	218	32	approach	approach	NOUN
cana-3198	218	33	for	for	ADP
cana-3198	218	34	attaining	attain	VERB
cana-3198	218	35	agricultural	agricultural	ADJ
cana-3198	218	36	sustainability	sustainability	NOUN
cana-3198	218	37	.	.	PUNCT
cana-3198	219	1	climate	climate	NOUN
cana-3198	219	2	change	change	NOUN
cana-3198	219	3	and	and	CCONJ
cana-3198	219	4	resilient	resilient	ADJ
cana-3198	219	5	food	food	NOUN
cana-3198	219	6	systems	system	NOUN
cana-3198	219	7	:	:	PUNCT
cana-3198	219	8	issues	issue	NOUN
cana-3198	219	9	,	,	PUNCT
cana-3198	219	10	challenges	challenge	NOUN
cana-3198	219	11	,	,	PUNCT
cana-3198	219	12	and	and	CCONJ
cana-3198	219	13	way	way	ADV
cana-3198	219	14	forward	forward	ADV
cana-3198	219	15	,	,	PUNCT
cana-3198	219	16	pp.141	pp.141	NOUN
cana-3198	219	17	-	-	PUNCT
cana-3198	219	18	189	189	NUM
cana-3198	219	19	.	.	PUNCT
cana-3198	220	1	https://doi.org/10.1007/978-981-33-4538-6_5	https://doi.org/10.1007/978-981-33-4538-6_5	X
cana-3198	220	2	[	[	X
cana-3198	220	3	5	5	NUM
cana-3198	220	4	]	]	PUNCT
cana-3198	220	5	lipper	lipper	NOUN
cana-3198	220	6	,	,	PUNCT
cana-3198	220	7	l.	l.	PROPN
cana-3198	220	8	,	,	PUNCT
cana-3198	220	9	thornton	thornton	PROPN
cana-3198	220	10	,	,	PUNCT
cana-3198	220	11	p.	p.	PROPN
cana-3198	220	12	,	,	PUNCT
cana-3198	220	13	campbell	campbell	PROPN
cana-3198	220	14	,	,	PUNCT
cana-3198	220	15	b.m	b.m	PROPN
cana-3198	220	16	.	.	PROPN
cana-3198	220	17	,	,	PUNCT
cana-3198	220	18	baedeker	baedeker	NOUN
cana-3198	220	19	,	,	PUNCT
cana-3198	220	20	t.	t.	NOUN
cana-3198	220	21	,	,	PUNCT
cana-3198	220	22	braimoh	braimoh	NOUN
cana-3198	220	23	,	,	PUNCT
cana-3198	220	24	a.	a.	NOUN
cana-3198	220	25	,	,	PUNCT
cana-3198	220	26	bwalya	bwalya	ADV
cana-3198	220	27	,	,	PUNCT
cana-3198	220	28	m.	m.	NOUN
cana-3198	220	29	,	,	PUNCT
cana-3198	220	30	caron	caron	PROPN
cana-3198	220	31	,	,	PUNCT
cana-3198	220	32	p.	p.	PROPN
cana-3198	220	33	,	,	PUNCT
cana-3198	220	34	cattaneo	cattaneo	PROPN
cana-3198	220	35	,	,	PUNCT
cana-3198	220	36	a.	a.	PROPN
cana-3198	220	37	,	,	PUNCT
cana-3198	220	38	garrity	garrity	PROPN
cana-3198	220	39	,	,	PUNCT
cana-3198	220	40	d.	d.	PROPN
cana-3198	220	41	,	,	PUNCT
cana-3198	220	42	henry	henry	PROPN
cana-3198	220	43	,	,	PUNCT
cana-3198	220	44	k.	k.	PROPN
cana-3198	220	45	and	and	CCONJ
cana-3198	220	46	hottle	hottle	PROPN
cana-3198	220	47	,	,	PUNCT
cana-3198	220	48	r.	r.	PROPN
cana-3198	220	49	,	,	PUNCT
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cana-3198	220	51	.	.	PUNCT
cana-3198	221	1	climate	climate	NOUN
cana-3198	221	2	-	-	PUNCT
cana-3198	221	3	smart	smart	ADJ
cana-3198	221	4	agriculture	agriculture	NOUN
cana-3198	221	5	for	for	ADP
cana-3198	221	6	food	food	NOUN
cana-3198	221	7	security	security	NOUN
cana-3198	221	8	.	.	PUNCT
cana-3198	222	1	nature	nature	NOUN
cana-3198	222	2	climate	climate	NOUN
cana-3198	222	3	change	change	NOUN
cana-3198	222	4	,	,	PUNCT
cana-3198	222	5	4(12	4(12	NUM
cana-3198	222	6	)	)	PUNCT
cana-3198	222	7	,	,	PUNCT
cana-3198	222	8	pp.1068	pp.1068	PROPN
cana-3198	222	9	-	-	PUNCT
cana-3198	222	10	1072	1072	NUM
cana-3198	222	11	.	.	PUNCT
cana-3198	223	1	https://doi.org/10.1038/nclimate2437	https://doi.org/10.1038/nclimate2437	PROPN
cana-3198	224	1	[	[	X
cana-3198	224	2	6	6	NUM
cana-3198	224	3	]	]	PUNCT
cana-3198	224	4	mccarthy	mccarthy	PROPN
cana-3198	224	5	,	,	PUNCT
cana-3198	224	6	n.	n.	NOUN
cana-3198	224	7	,	,	PUNCT
cana-3198	224	8	lipper	lipper	NOUN
cana-3198	224	9	,	,	PUNCT
cana-3198	224	10	l.	l.	PROPN
cana-3198	224	11	and	and	CCONJ
cana-3198	224	12	zilberman	zilberman	PROPN
cana-3198	224	13	,	,	PUNCT
cana-3198	224	14	d.	d.	PROPN
cana-3198	224	15	,	,	PUNCT
cana-3198	224	16	2018	2018	NUM
cana-3198	224	17	.	.	PUNCT
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cana-3198	225	5	agriculture	agriculture	NOUN
cana-3198	225	6	:	:	PUNCT
cana-3198	225	7	an	an	DET
cana-3198	225	8	overview	overview	NOUN
cana-3198	225	9	.	.	PUNCT
cana-3198	226	1	climate	climate	NOUN
cana-3198	226	2	smart	smart	ADJ
cana-3198	226	3	agriculture	agriculture	NOUN
cana-3198	226	4	:	:	PUNCT
cana-3198	226	5	building	build	VERB
cana-3198	226	6	resilience	resilience	NOUN
cana-3198	226	7	to	to	ADP
cana-3198	226	8	climate	climate	NOUN
cana-3198	226	9	change	change	NOUN
cana-3198	226	10	,	,	PUNCT
cana-3198	226	11	pp.31	pp.31	NOUN
cana-3198	226	12	-	-	PUNCT
cana-3198	226	13	47	47	NUM
cana-3198	226	14	.	.	PUNCT
cana-3198	227	1	[	[	X
cana-3198	227	2	7	7	NUM
cana-3198	227	3	]	]	X
cana-3198	227	4	barasa	barasa	PROPN
cana-3198	227	5	,	,	PUNCT
cana-3198	227	6	p.m.	p.m.	NOUN
cana-3198	227	7	,	,	PUNCT
cana-3198	227	8	botai	botai	NOUN
cana-3198	227	9	,	,	PUNCT
cana-3198	227	10	c.m	c.m	PROPN
cana-3198	227	11	.	.	PROPN
cana-3198	227	12	,	,	PUNCT
cana-3198	227	13	botai	botai	PROPN
cana-3198	227	14	,	,	PUNCT
cana-3198	227	15	j.o	j.o	PROPN
cana-3198	227	16	.	.	PROPN
cana-3198	227	17	and	and	CCONJ
cana-3198	227	18	mabhaudhi	mabhaudhi	PROPN
cana-3198	227	19	,	,	PUNCT
cana-3198	227	20	t.	t.	PROPN
cana-3198	227	21	,	,	PUNCT
cana-3198	227	22	2021	2021	NUM
cana-3198	227	23	.	.	PUNCT
cana-3198	228	1	a	a	DET
cana-3198	228	2	review	review	NOUN
cana-3198	228	3	of	of	ADP
cana-3198	228	4	climate	climate	NOUN
cana-3198	228	5	-	-	PUNCT
cana-3198	228	6	smart	smart	ADJ
cana-3198	228	7	agriculture	agriculture	NOUN
cana-3198	228	8	research	research	NOUN
cana-3198	228	9	and	and	CCONJ
cana-3198	228	10	applications	application	NOUN
cana-3198	228	11	in	in	ADP
cana-3198	228	12	africa	africa	PROPN
cana-3198	228	13	.	.	PUNCT
cana-3198	229	1	agronomy	agronomy	NOUN
cana-3198	229	2	,	,	PUNCT
cana-3198	229	3	11(6	11(6	NUM
cana-3198	229	4	)	)	PUNCT
cana-3198	229	5	,	,	PUNCT
cana-3198	229	6	p.1255	p.1255	PROPN
cana-3198	229	7	.	.	PUNCT
cana-3198	230	1	https://doi.org/10.3390/agronomy11061255	https://doi.org/10.3390/agronomy11061255	VERB
cana-3198	231	1	[	[	X
cana-3198	231	2	8	8	NUM
cana-3198	231	3	]	]	X
cana-3198	231	4	zhang	zhang	PROPN
cana-3198	231	5	,	,	PUNCT
cana-3198	231	6	g.	g.	PROPN
cana-3198	231	7	,	,	PUNCT
cana-3198	231	8	shao	shao	PROPN
cana-3198	231	9	,	,	PUNCT
cana-3198	231	10	f.	f.	PROPN
cana-3198	231	11	,	,	PUNCT
cana-3198	231	12	yuan	yuan	PROPN
cana-3198	231	13	,	,	PUNCT
cana-3198	231	14	w.	w.	PROPN
cana-3198	231	15	,	,	PUNCT
cana-3198	231	16	wu	wu	PROPN
cana-3198	231	17	,	,	PUNCT
cana-3198	231	18	j.	j.	PROPN
cana-3198	231	19	,	,	PUNCT
cana-3198	231	20	qi	qi	PROPN
cana-3198	231	21	,	,	PUNCT
cana-3198	231	22	x.	x.	PROPN
cana-3198	231	23	,	,	PUNCT
cana-3198	231	24	gao	gao	PROPN
cana-3198	231	25	,	,	PUNCT
cana-3198	231	26	j.	j.	PROPN
cana-3198	231	27	,	,	PUNCT
cana-3198	231	28	shao	shao	PROPN
cana-3198	231	29	,	,	PUNCT
cana-3198	231	30	r.	r.	PROPN
cana-3198	231	31	,	,	PUNCT
cana-3198	231	32	tang	tang	PROPN
cana-3198	231	33	,	,	PUNCT
cana-3198	231	34	z.	z.	PROPN
cana-3198	231	35	and	and	CCONJ
cana-3198	231	36	wang	wang	PROPN
cana-3198	231	37	,	,	PUNCT
cana-3198	231	38	t.	t.	PROPN
cana-3198	231	39	,	,	PUNCT
cana-3198	231	40	2023	2023	NUM
cana-3198	231	41	.	.	PUNCT
cana-3198	232	1	an	an	DET
cana-3198	232	2	interpretable	interpretable	ADJ
cana-3198	232	3	machine	machine	NOUN
cana-3198	232	4	learning	learning	NOUN
cana-3198	232	5	models	model	NOUN
cana-3198	232	6	for	for	ADP
cana-3198	232	7	predicting	predict	VERB
cana-3198	232	8	in	in	ADP
cana-3198	232	9	-	-	PUNCT
cana-3198	232	10	hospital	hospital	NOUN
cana-3198	232	11	mortality	mortality	NOUN
cana-3198	232	12	in	in	ADP
cana-3198	232	13	patients	patient	NOUN
cana-3198	232	14	with	with	ADP
cana-3198	232	15	sepsis	sepsis	NOUN
cana-3198	232	16	based	base	VERB
cana-3198	232	17	on	on	ADP
cana-3198	232	18	multiple	multiple	ADJ
cana-3198	232	19	databases	database	NOUN
cana-3198	232	20	.	.	PUNCT
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cana-3198	234	1	[	[	X
cana-3198	234	2	9	9	NUM
cana-3198	234	3	]	]	X
cana-3198	234	4	aryal	aryal	NOUN
cana-3198	234	5	,	,	PUNCT
cana-3198	234	6	j.p	j.p	PROPN
cana-3198	234	7	.	.	PROPN
cana-3198	234	8	,	,	PUNCT
cana-3198	234	9	sapkota	sapkota	PROPN
cana-3198	234	10	,	,	PUNCT
cana-3198	234	11	t.b	t.b	PROPN
cana-3198	234	12	.	.	PROPN
cana-3198	234	13	,	,	PUNCT
cana-3198	234	14	rahut	rahut	PROPN
cana-3198	234	15	,	,	PUNCT
cana-3198	234	16	d.b	d.b	PROPN
cana-3198	234	17	.	.	PROPN
cana-3198	234	18	and	and	CCONJ
cana-3198	234	19	jat	jat	PROPN
cana-3198	234	20	,	,	PUNCT
cana-3198	234	21	m.l	m.l	PROPN
cana-3198	234	22	.	.	PROPN
cana-3198	234	23	,	,	PUNCT
cana-3198	234	24	2020	2020	NUM
cana-3198	234	25	.	.	PUNCT
cana-3198	235	1	agricultural	agricultural	ADJ
cana-3198	235	2	sustainability	sustainability	NOUN
cana-3198	235	3	under	under	ADP
cana-3198	235	4	emerging	emerge	VERB
cana-3198	235	5	climatic	climatic	ADJ
cana-3198	235	6	variability	variability	NOUN
cana-3198	235	7	:	:	PUNCT
cana-3198	235	8	the	the	DET
cana-3198	235	9	role	role	NOUN
cana-3198	235	10	of	of	ADP
cana-3198	235	11	climate	climate	NOUN
cana-3198	235	12	-	-	PUNCT
cana-3198	235	13	smart	smart	ADJ
cana-3198	235	14	agriculture	agriculture	NOUN
cana-3198	235	15	and	and	CCONJ
cana-3198	235	16	relevant	relevant	ADJ
cana-3198	235	17	policies	policy	NOUN
cana-3198	235	18	in	in	ADP
cana-3198	235	19	india	india	PROPN
cana-3198	235	20	.	.	PUNCT
cana-3198	236	1	international	international	ADJ
cana-3198	236	2	journal	journal	PROPN
cana-3198	236	3	of	of	ADP
cana-3198	236	4	innovation	innovation	NOUN
cana-3198	236	5	and	and	CCONJ
cana-3198	236	6	sustainable	sustainable	ADJ
cana-3198	236	7	development	development	NOUN
cana-3198	236	8	,	,	PUNCT
cana-3198	236	9	14(2	14(2	NUM
cana-3198	236	10	)	)	PUNCT
cana-3198	236	11	,	,	PUNCT
cana-3198	236	12	pp.219	pp.219	PROPN
cana-3198	236	13	-	-	PUNCT
cana-3198	236	14	245	245	NUM
cana-3198	236	15	.	.	PUNCT
cana-3198	237	1	https://doi.org/10.1504/ijisd.2020.106243	https://doi.org/10.1504/ijisd.2020.106243	PROPN
cana-3198	237	2	[	[	X
cana-3198	237	3	10	10	NUM
cana-3198	237	4	]	]	X
cana-3198	237	5	mahto	mahto	PROPN
cana-3198	237	6	,	,	PUNCT
cana-3198	237	7	r.	r.	PROPN
cana-3198	237	8	,	,	PUNCT
cana-3198	237	9	sharma	sharma	PROPN
cana-3198	237	10	,	,	PUNCT
cana-3198	237	11	d.	d.	PROPN
cana-3198	237	12	,	,	PUNCT
cana-3198	237	13	john	john	PROPN
cana-3198	237	14	,	,	PUNCT
cana-3198	237	15	r.	r.	PROPN
cana-3198	237	16	and	and	CCONJ
cana-3198	237	17	putcha	putcha	PROPN
cana-3198	237	18	,	,	PUNCT
cana-3198	237	19	c.	c.	NOUN
cana-3198	237	20	,	,	PUNCT
cana-3198	237	21	2021	2021	NUM
cana-3198	237	22	.	.	PUNCT
cana-3198	238	1	agrivoltaics	agrivoltaic	NOUN
cana-3198	238	2	:	:	PUNCT
cana-3198	238	3	a	a	DET
cana-3198	238	4	climate	climate	NOUN
cana-3198	238	5	-	-	PUNCT
cana-3198	238	6	smart	smart	ADJ
cana-3198	238	7	agriculture	agriculture	NOUN
cana-3198	238	8	approach	approach	NOUN
cana-3198	238	9	for	for	ADP
cana-3198	238	10	indian	indian	ADJ
cana-3198	238	11	farmers	farmer	NOUN
cana-3198	238	12	.	.	PUNCT
cana-3198	239	1	land	land	NOUN
cana-3198	239	2	,	,	PUNCT
cana-3198	239	3	10(11	10(11	NUM
cana-3198	239	4	)	)	PUNCT
cana-3198	239	5	,	,	PUNCT
cana-3198	239	6	p.1277	p.1277	NOUN
cana-3198	239	7	.	.	PUNCT
cana-3198	240	1	https://doi.org/10.3390/land10111277	https://doi.org/10.3390/land10111277	PROPN
cana-3198	241	1	[	[	X
cana-3198	241	2	11	11	NUM
cana-3198	241	3	]	]	X
cana-3198	241	4	lopez	lopez	NOUN
cana-3198	241	5	-	-	PUNCT
cana-3198	241	6	ridaura	ridaura	NOUN
cana-3198	241	7	,	,	PUNCT
cana-3198	241	8	s.	s.	PROPN
cana-3198	241	9	,	,	PUNCT
cana-3198	241	10	frelat	frelat	PROPN
cana-3198	241	11	,	,	PUNCT
cana-3198	241	12	r.	r.	PROPN
cana-3198	241	13	,	,	PUNCT
cana-3198	241	14	van	van	PROPN
cana-3198	241	15	wijk	wijk	PROPN
cana-3198	241	16	,	,	PUNCT
cana-3198	241	17	m.t	m.t	PROPN
cana-3198	241	18	.	.	PROPN
cana-3198	241	19	,	,	PUNCT
cana-3198	241	20	valbuena	valbuena	PROPN
cana-3198	241	21	,	,	PUNCT
cana-3198	241	22	d.	d.	PROPN
cana-3198	241	23	,	,	PUNCT
cana-3198	241	24	krupnik	krupnik	PROPN
cana-3198	241	25	,	,	PUNCT
cana-3198	241	26	t.j	t.j	PROPN
cana-3198	241	27	.	.	PROPN
cana-3198	241	28	and	and	CCONJ
cana-3198	241	29	jat	jat	PROPN
cana-3198	241	30	,	,	PUNCT
cana-3198	241	31	m.l	m.l	PROPN
cana-3198	241	32	.	.	PROPN
cana-3198	241	33	,	,	PUNCT
cana-3198	241	34	2018	2018	NUM
cana-3198	241	35	.	.	PUNCT
cana-3198	242	1	climate	climate	VERB
cana-3198	242	2	smart	smart	ADJ
cana-3198	242	3	agriculture	agriculture	NOUN
cana-3198	242	4	,	,	PUNCT
cana-3198	242	5	farm	farm	NOUN
cana-3198	242	6	household	household	NOUN
cana-3198	242	7	typologies	typology	NOUN
cana-3198	242	8	and	and	CCONJ
cana-3198	242	9	food	food	NOUN
cana-3198	242	10	security	security	NOUN
cana-3198	242	11	:	:	PUNCT
cana-3198	242	12	an	an	DET
cana-3198	242	13	ex	ex	NOUN
cana-3198	242	14	-	-	NOUN
cana-3198	242	15	ante	ante	NOUN
cana-3198	242	16	assessment	assessment	NOUN
cana-3198	242	17	from	from	ADP
cana-3198	242	18	eastern	eastern	PROPN
cana-3198	242	19	india	india	PROPN
cana-3198	242	20	.	.	PUNCT
cana-3198	243	1	agricultural	agricultural	ADJ
cana-3198	243	2	systems	system	NOUN
cana-3198	243	3	,	,	PUNCT
cana-3198	243	4	159	159	NUM
cana-3198	243	5	,	,	PUNCT
cana-3198	243	6	pp.57	pp.57	PROPN
cana-3198	243	7	-	-	PUNCT
cana-3198	243	8	68	68	NUM
cana-3198	243	9	.	.	PUNCT
cana-3198	244	1	https://doi.org/10.1016/j.agsy.2017.09.007	https://doi.org/10.1016/j.agsy.2017.09.007	ADJ
cana-3198	244	2	[	[	X
cana-3198	244	3	12	12	NUM
cana-3198	244	4	]	]	X
cana-3198	244	5	pani	pani	NOUN
cana-3198	244	6	,	,	PUNCT
cana-3198	244	7	a.	a.	NOUN
cana-3198	244	8	and	and	CCONJ
cana-3198	244	9	mishra	mishra	PROPN
cana-3198	244	10	,	,	PUNCT
cana-3198	244	11	p.	p.	PROPN
cana-3198	244	12	,	,	PUNCT
cana-3198	244	13	2023	2023	NUM
cana-3198	244	14	.	.	PUNCT
cana-3198	245	1	promoting	promote	VERB
cana-3198	245	2	climate	climate	NOUN
cana-3198	245	3	-	-	PUNCT
cana-3198	245	4	smart	smart	ADJ
cana-3198	245	5	agriculture	agriculture	NOUN
cana-3198	245	6	in	in	ADP
cana-3198	245	7	india	india	PROPN
cana-3198	245	8	:	:	PUNCT
cana-3198	245	9	emerging	emerge	VERB
cana-3198	245	10	pathways	pathway	NOUN
cana-3198	245	11	for	for	ADP
cana-3198	245	12	growth	growth	NOUN
cana-3198	245	13	and	and	CCONJ
cana-3198	245	14	sustainability	sustainability	NOUN
cana-3198	245	15	.	.	PUNCT
cana-3198	246	1	in	in	ADP
cana-3198	246	2	the	the	DET
cana-3198	246	3	impact	impact	NOUN
cana-3198	246	4	of	of	ADP
cana-3198	246	5	environmental	environmental	ADJ
cana-3198	246	6	emissions	emission	NOUN
cana-3198	246	7	and	and	CCONJ
cana-3198	246	8	aggregate	aggregate	VERB
cana-3198	246	9	economic	economic	ADJ
cana-3198	246	10	activity	activity	NOUN
cana-3198	246	11	on	on	ADP
cana-3198	246	12	industry	industry	NOUN
cana-3198	246	13	:	:	PUNCT
cana-3198	246	14	theoretical	theoretical	ADJ
cana-3198	246	15	and	and	CCONJ
cana-3198	246	16	empirical	empirical	ADJ
cana-3198	246	17	perspectives	perspective	NOUN
cana-3198	246	18	(	(	PUNCT
cana-3198	246	19	pp	pp	ADJ
cana-3198	246	20	.	.	PUNCT
cana-3198	246	21	195	195	NUM
cana-3198	246	22	-	-	SYM
cana-3198	246	23	214	214	NUM
cana-3198	246	24	)	)	PUNCT
cana-3198	246	25	.	.	PUNCT
cana-3198	247	1	emerald	emerald	PROPN
cana-3198	247	2	publishing	publishing	PROPN
cana-3198	247	3	limited	limit	VERB
cana-3198	247	4	.	.	PUNCT
cana-3198	248	1	https://doi.org/10.1108/978-1-80382-577920231015	https://doi.org/10.1108/978-1-80382-577920231015	X
cana-3198	249	1	[	[	X
cana-3198	249	2	13	13	NUM
cana-3198	249	3	]	]	X
cana-3198	249	4	roy	roy	PROPN
cana-3198	249	5	,	,	PUNCT
cana-3198	249	6	t.	t.	PROPN
cana-3198	249	7	,	,	PUNCT
cana-3198	249	8	kalambukattu	kalambukattu	NOUN
cana-3198	249	9	,	,	PUNCT
cana-3198	249	10	j.g	j.g	PROPN
cana-3198	249	11	.	.	PROPN
cana-3198	249	12	,	,	PUNCT
cana-3198	249	13	sarkar	sarkar	PROPN
cana-3198	249	14	,	,	PUNCT
cana-3198	249	15	a.	a.	PROPN
cana-3198	249	16	,	,	PUNCT
cana-3198	249	17	rashmi	rashmi	PROPN
cana-3198	249	18	,	,	PUNCT
cana-3198	249	19	i.	i.	PROPN
cana-3198	249	20	,	,	PUNCT
cana-3198	249	21	pal	pal	PROPN
cana-3198	249	22	,	,	PUNCT
cana-3198	249	23	r.	r.	PROPN
cana-3198	249	24	,	,	PUNCT
cana-3198	249	25	singhal	singhal	PROPN
cana-3198	249	26	,	,	PUNCT
cana-3198	249	27	v.	v.	PROPN
cana-3198	249	28	,	,	PUNCT
cana-3198	249	29	singh	singh	PROPN
cana-3198	249	30	,	,	PUNCT
cana-3198	249	31	d.	d.	PROPN
cana-3198	249	32	and	and	CCONJ
cana-3198	249	33	kumar	kumar	PROPN
cana-3198	249	34	,	,	PUNCT
cana-3198	249	35	s.	s.	PROPN
cana-3198	249	36	,	,	PUNCT
cana-3198	249	37	2024	2024	NUM
cana-3198	249	38	.	.	PUNCT
cana-3198	250	1	climate	climate	NOUN
cana-3198	250	2	crisis	crisis	NOUN
cana-3198	250	3	and	and	CCONJ
cana-3198	250	4	adoption	adoption	NOUN
cana-3198	250	5	of	of	ADP
cana-3198	250	6	climate	climate	NOUN
cana-3198	250	7	-	-	PUNCT
cana-3198	250	8	smart	smart	ADJ
cana-3198	250	9	agriculture	agriculture	NOUN
cana-3198	250	10	technologies	technology	NOUN
cana-3198	250	11	.	.	PUNCT
cana-3198	251	1	in	in	ADP
cana-3198	251	2	climate	climate	NOUN
cana-3198	251	3	crisis	crisis	NOUN
cana-3198	251	4	:	:	PUNCT
cana-3198	251	5	adaptive	adaptive	ADJ
cana-3198	251	6	approaches	approach	NOUN
cana-3198	251	7	and	and	CCONJ
cana-3198	251	8	sustainability	sustainability	NOUN
cana-3198	251	9	(	(	PUNCT
cana-3198	251	10	pp	pp	ADJ
cana-3198	251	11	.	.	PUNCT
cana-3198	251	12	229	229	NUM
cana-3198	251	13	-	-	NUM
cana-3198	251	14	252	252	NUM
cana-3198	251	15	)	)	PUNCT
cana-3198	251	16	.	.	PUNCT
cana-3198	252	1	cham	cham	PROPN
cana-3198	252	2	:	:	PUNCT
cana-3198	252	3	springer	springer	NOUN
cana-3198	252	4	nature	nature	PROPN
cana-3198	252	5	switzerland	switzerland	PROPN
cana-3198	252	6	.	.	PUNCT
cana-3198	253	1	https://doi.org/10.1007/978-3-031-44397-8_13	https://doi.org/10.1007/978-3-031-44397-8_13	PROPN
cana-3198	254	1	[	[	X
cana-3198	254	2	14	14	NUM
cana-3198	254	3	]	]	X
cana-3198	254	4	gore	gore	PROPN
cana-3198	254	5	,	,	PUNCT
cana-3198	254	6	r.d	r.d	PROPN
cana-3198	254	7	.	.	PROPN
cana-3198	254	8	and	and	CCONJ
cana-3198	254	9	gawali	gawali	PROPN
cana-3198	254	10	,	,	PUNCT
cana-3198	254	11	b.w	b.w	PROPN
cana-3198	254	12	.	.	PROPN
cana-3198	254	13	,	,	PUNCT
cana-3198	254	14	2023	2023	NUM
cana-3198	254	15	,	,	PUNCT
cana-3198	254	16	march	march	PROPN
cana-3198	254	17	.	.	PUNCT
cana-3198	254	18	effect	effect	NOUN
cana-3198	254	19	of	of	ADP
cana-3198	254	20	climate	climate	NOUN
cana-3198	254	21	change	change	NOUN
cana-3198	254	22	on	on	ADP
cana-3198	254	23	soil	soil	NOUN
cana-3198	254	24	quality	quality	NOUN
cana-3198	254	25	using	use	VERB
cana-3198	254	26	a	a	DET
cana-3198	254	27	supervised	supervised	ADJ
cana-3198	254	28	machine	machine	NOUN
cana-3198	254	29	learning	learning	NOUN
cana-3198	254	30	algorithm	algorithm	NOUN
cana-3198	254	31	.	.	PUNCT
cana-3198	255	1	in	in	ADP
cana-3198	255	2	international	international	ADJ
cana-3198	255	3	conference	conference	NOUN
cana-3198	255	4	on	on	ADP
cana-3198	255	5	information	information	NOUN
cana-3198	255	6	technology	technology	NOUN
cana-3198	255	7	(	(	PUNCT
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cana-3198	255	9	.	.	PUNCT
cana-3198	256	1	283	283	NUM
cana-3198	256	2	-	-	SYM
cana-3198	256	3	292	292	NUM
cana-3198	256	4	)	)	PUNCT
cana-3198	256	5	.	.	PUNCT
cana-3198	257	1	singapore	singapore	PROPN
cana-3198	257	2	:	:	PUNCT
cana-3198	257	3	springer	springer	NOUN
cana-3198	257	4	nature	nature	PROPN
cana-3198	257	5	singapore	singapore	PROPN
cana-3198	257	6	.	.	PUNCT
cana-3198	257	7	https://doi.org/10.1007/978-981-99-5994-5_26	https://doi.org/10.1007/978-981-99-5994-5_26	PUNCT
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cana-3198	258	2	15	15	NUM
cana-3198	258	3	]	]	X
cana-3198	258	4	gore	gore	PROPN
cana-3198	258	5	,	,	PUNCT
cana-3198	258	6	r.d	r.d	PROPN
cana-3198	258	7	.	.	PROPN
cana-3198	258	8	and	and	CCONJ
cana-3198	258	9	gawali	gawali	PROPN
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cana-3198	258	11	b.w	b.w	PROPN
cana-3198	258	12	.	.	PROPN
cana-3198	258	13	,	,	PUNCT
cana-3198	258	14	2023	2023	NUM
cana-3198	258	15	,	,	PUNCT
cana-3198	258	16	august	august	PROPN
cana-3198	258	17	.	.	PUNCT
cana-3198	259	1	analysis	analysis	NOUN
cana-3198	259	2	of	of	ADP
cana-3198	259	3	weather	weather	NOUN
cana-3198	259	4	parameters	parameter	NOUN
cana-3198	259	5	using	use	VERB
cana-3198	259	6	machine	machine	NOUN
cana-3198	259	7	learning	learning	NOUN
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cana-3198	260	2	first	first	ADJ
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cana-3198	260	5	on	on	ADP
cana-3198	260	6	advances	advance	NOUN
cana-3198	260	7	in	in	ADP
cana-3198	260	8	computer	computer	NOUN
cana-3198	260	9	vision	vision	NOUN
cana-3198	260	10	and	and	CCONJ
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cana-3198	260	12	intelligence	intelligence	NOUN
cana-3198	260	13	technologies	technology	NOUN
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cana-3198	260	15	acvait	acvait	NOUN
cana-3198	260	16	2022	2022	NUM
cana-3198	260	17	)	)	PUNCT
cana-3198	260	18	(	(	PUNCT
cana-3198	260	19	pp	pp	ADV
cana-3198	260	20	.	.	PUNCT
cana-3198	261	1	569	569	NUM
cana-3198	261	2	-	-	SYM
cana-3198	261	3	589	589	NUM
cana-3198	261	4	)	)	PUNCT
cana-3198	261	5	.	.	PUNCT
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cana-3198	262	2	press	press	PROPN
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cana-3198	263	2	16	16	NUM
cana-3198	263	3	]	]	X
cana-3198	263	4	gore	gore	PROPN
cana-3198	263	5	,	,	PUNCT
cana-3198	263	6	r.	r.	PROPN
cana-3198	263	7	,	,	PUNCT
cana-3198	263	8	gawali	gawali	PROPN
cana-3198	263	9	,	,	PUNCT
cana-3198	263	10	b.	b.	PROPN
cana-3198	263	11	and	and	CCONJ
cana-3198	263	12	pachpatte	pachpatte	PROPN
cana-3198	263	13	,	,	PUNCT
cana-3198	263	14	d.	d.	PROPN
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cana-3198	263	17	,	,	PUNCT
cana-3198	263	18	march	march	PROPN
cana-3198	263	19	.	.	PUNCT
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cana-3198	264	2	parameter	parameter	PROPN
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cana-3198	264	4	using	use	VERB
cana-3198	264	5	interpolation	interpolation	NOUN
cana-3198	264	6	methods	method	NOUN
cana-3198	264	7	.	.	PUNCT
cana-3198	265	1	in	in	ADP
cana-3198	265	2	artificial	artificial	ADJ
cana-3198	265	3	intelligence	intelligence	NOUN
cana-3198	265	4	and	and	CCONJ
cana-3198	265	5	applications	application	NOUN
cana-3198	265	6	(	(	PUNCT
cana-3198	265	7	vol	vol	NOUN
cana-3198	265	8	.	.	NOUN
cana-3198	265	9	1	1	NUM
cana-3198	265	10	,	,	PUNCT
cana-3198	265	11	no	no	INTJ
cana-3198	265	12	.	.	NOUN
cana-3198	265	13	4	4	NUM
cana-3198	265	14	,	,	PUNCT
cana-3198	265	15	pp	pp	ADJ
cana-3198	265	16	.	.	PUNCT
cana-3198	265	17	260	260	NUM
cana-3198	265	18	-	-	SYM
cana-3198	265	19	272	272	NUM
cana-3198	265	20	)	)	PUNCT
cana-3198	265	21	.	.	PUNCT
cana-3198	266	1	https://doi.org/10.47852/bonviewaia3202443	https://doi.org/10.47852/bonviewaia3202443	PROPN
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cana-3198	266	3	17	17	NUM
cana-3198	266	4	]	]	X
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cana-3198	266	6	d.	d.	PROPN
cana-3198	266	7	gore	gore	PROPN
cana-3198	266	8	,	,	PUNCT
cana-3198	266	9	v.	v.	PROPN
cana-3198	266	10	y.	y.	PROPN
cana-3198	266	11	borole	borole	PROPN
cana-3198	266	12	,	,	PUNCT
cana-3198	266	13	r.	r.	PROPN
cana-3198	266	14	s.	s.	PROPN
cana-3198	266	15	gupta	gupta	PROPN
cana-3198	266	16	,	,	PUNCT
cana-3198	266	17	v.	v.	ADP
cana-3198	266	18	sonaje	sonaje	NOUN
cana-3198	266	19	,	,	PUNCT
cana-3198	266	20	p.	p.	NOUN
cana-3198	266	21	chaudhari	chaudhari	PROPN
cana-3198	266	22	and	and	CCONJ
cana-3198	266	23	b.	b.	PROPN
cana-3198	266	24	w.	w.	PROPN
cana-3198	266	25	gawali	gawali	PROPN
cana-3198	266	26	,	,	PUNCT
cana-3198	266	27	2023	2023	NUM
cana-3198	266	28	,	,	PUNCT
cana-3198	266	29	sentiments	sentiment	VERB
cana-3198	266	30	analysis	analysis	NOUN
cana-3198	266	31	on	on	ADP
cana-3198	266	32	amazon	amazon	NOUN
cana-3198	266	33	product	product	NOUN
cana-3198	266	34	reviews	review	NOUN
cana-3198	266	35	using	use	VERB
cana-3198	266	36	supervised	supervised	ADJ
cana-3198	266	37	machine	machine	NOUN
cana-3198	266	38	learning	learning	NOUN
cana-3198	266	39	algorithms	algorithm	NOUN
cana-3198	266	40	,	,	PUNCT
cana-3198	266	41	2023	2023	NUM
cana-3198	266	42	international	international	ADJ
cana-3198	266	43	conference	conference	NOUN
cana-3198	266	44	on	on	ADP
cana-3198	266	45	integration	integration	NOUN
cana-3198	266	46	of	of	ADP
cana-3198	266	47	computational	computational	ADJ
cana-3198	266	48	intelligent	intelligent	ADJ
cana-3198	266	49	system	system	NOUN
cana-3198	266	50	(	(	PUNCT
cana-3198	266	51	icicis	icicis	NOUN
cana-3198	266	52	)	)	PUNCT
cana-3198	266	53	,	,	PUNCT
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cana-3198	266	55	,	,	PUNCT
cana-3198	266	56	india	india	PROPN
cana-3198	266	57	,	,	PUNCT
cana-3198	266	58	(	(	PUNCT
cana-3198	266	59	pp	pp	ADJ
cana-3198	266	60	.	.	PUNCT
cana-3198	267	1	1	1	NUM
cana-3198	267	2	-	-	SYM
cana-3198	267	3	4	4	NUM
cana-3198	267	4	)	)	PUNCT
cana-3198	267	5	,	,	PUNCT
cana-3198	267	6	ieee	ieee	PROPN
cana-3198	267	7	.	.	PUNCT
cana-3198	267	8	https://doi.org/10.1109/icicis56802.2023.10430298	https://doi.org/10.1109/icicis56802.2023.10430298	PROPN
cana-3198	268	1	https://doi.org/10.1186/s40008-023-00320-z	https://doi.org/10.1186/s40008-023-00320-z	PROPN
cana-3198	268	2	https://doi.org/10.1186/s40008-023-00320-z	https://doi.org/10.1186/s40008-023-00320-z	PROPN
cana-3198	268	3	https://doi.org/10.1007/978-3-031-44397-8_13	https://doi.org/10.1007/978-3-031-44397-8_13	VERB