id	sid	tid	token	lemma	pos
cana-3679	1	1	communications	communication	NOUN
cana-3679	1	2	on	on	ADP
cana-3679	1	3	applied	apply	VERB
cana-3679	1	4	nonlinear	nonlinear	ADJ
cana-3679	1	5	analysis	analysis	NOUN
cana-3679	1	6	issn	issn	NOUN
cana-3679	1	7	:	:	PUNCT
cana-3679	1	8	1074	1074	NUM
cana-3679	1	9	-	-	PUNCT
cana-3679	1	10	133x	133x	NUM
cana-3679	1	11	vol	vol	NOUN
cana-3679	1	12	32	32	NUM
cana-3679	1	13	no	no	NOUN
cana-3679	1	14	.	.	PUNCT
cana-3679	2	1	8s	8s	PROPN
cana-3679	2	2	(	(	PUNCT
cana-3679	2	3	2025	2025	NUM
cana-3679	2	4	)	)	PUNCT
cana-3679	2	5	329	329	NUM
cana-3679	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	2	7	evaluating	evaluate	VERB
cana-3679	2	8	deep	deep	ADJ
cana-3679	2	9	learning	learning	NOUN
cana-3679	2	10	approaches	approach	NOUN
cana-3679	2	11	for	for	ADP
cana-3679	2	12	accurate	accurate	ADJ
cana-3679	2	13	soil	soil	NOUN
cana-3679	2	14	moisture	moisture	NOUN
cana-3679	2	15	prediction	prediction	NOUN
cana-3679	2	16	hem	hem	PROPN
cana-3679	2	17	chandra	chandra	PROPN
cana-3679	2	18	joshia	joshia	PROPN
cana-3679	2	19	*	*	PROPN
cana-3679	2	20	,	,	PUNCT
cana-3679	2	21	dr	dr	PROPN
cana-3679	2	22	.	.	PROPN
cana-3679	2	23	tarun	tarun	PROPN
cana-3679	2	24	kumar	kumar	PROPN
cana-3679	2	25	vashishthb	vashishthb	PROPN
cana-3679	2	26	aresearch	aresearch	PROPN
cana-3679	2	27	scholar	scholar	NOUN
cana-3679	2	28	,	,	PUNCT
cana-3679	2	29	school	school	NOUN
cana-3679	2	30	of	of	ADP
cana-3679	2	31	computer	computer	NOUN
cana-3679	2	32	science	science	NOUN
cana-3679	2	33	applications	application	NOUN
cana-3679	2	34	,	,	PUNCT
cana-3679	2	35	iimt	iimt	ADJ
cana-3679	2	36	university	university	PROPN
cana-3679	2	37	,	,	PUNCT
cana-3679	2	38	uttar	uttar	PROPN
cana-3679	2	39	pradesh	pradesh	PROPN
cana-3679	2	40	,	,	PUNCT
cana-3679	2	41	india	india	PROPN
cana-3679	2	42	,	,	PUNCT
cana-3679	2	43	250001	250001	NUM
cana-3679	2	44	.	.	PUNCT
cana-3679	3	1	email	email	NOUN
cana-3679	3	2	:	:	PUNCT
cana-3679	3	3	hcjoshistar2016@gmail.com	hcjoshistar2016@gmail.com	X
cana-3679	4	1	bassociate	bassociate	PROPN
cana-3679	4	2	professor	professor	NOUN
cana-3679	4	3	,	,	PUNCT
cana-3679	4	4	school	school	NOUN
cana-3679	4	5	of	of	ADP
cana-3679	4	6	computer	computer	NOUN
cana-3679	4	7	science	science	NOUN
cana-3679	4	8	applications	application	NOUN
cana-3679	4	9	,	,	PUNCT
cana-3679	4	10	iimt	iimt	ADJ
cana-3679	4	11	university	university	PROPN
cana-3679	4	12	,	,	PUNCT
cana-3679	4	13	uttar	uttar	PROPN
cana-3679	4	14	pradesh	pradesh	PROPN
cana-3679	4	15	,	,	PUNCT
cana-3679	4	16	india	india	PROPN
cana-3679	4	17	,	,	PUNCT
cana-3679	4	18	250001	250001	NUM
cana-3679	4	19	.	.	PUNCT
cana-3679	5	1	email	email	NOUN
cana-3679	5	2	:	:	PUNCT
cana-3679	5	3	tarunvashishth@gmail.com	tarunvashishth@gmail.com	X
cana-3679	5	4	article	article	NOUN
cana-3679	5	5	history	history	NOUN
cana-3679	5	6	:	:	PUNCT
cana-3679	5	7	received	receive	VERB
cana-3679	5	8	:	:	PUNCT
cana-3679	5	9	28	28	NUM
cana-3679	5	10	-	-	SYM
cana-3679	5	11	10	10	NUM
cana-3679	5	12	-	-	PUNCT
cana-3679	5	13	2024	2024	NUM
cana-3679	5	14	revised:27	revised:27	NOUN
cana-3679	5	15	-	-	PUNCT
cana-3679	5	16	11	11	NUM
cana-3679	5	17	-	-	PUNCT
cana-3679	5	18	2024	2024	NUM
cana-3679	5	19	accepted:28	accepted:28	NUM
cana-3679	5	20	-	-	PUNCT
cana-3679	5	21	12	12	NUM
cana-3679	5	22	-	-	PUNCT
cana-3679	5	23	2024	2024	NUM
cana-3679	5	24	abstract	abstract	NOUN
cana-3679	5	25	:	:	PUNCT
cana-3679	5	26	accurate	accurate	ADJ
cana-3679	5	27	humidity	humidity	NOUN
cana-3679	5	28	forecasts	forecast	NOUN
cana-3679	5	29	play	play	VERB
cana-3679	5	30	an	an	DET
cana-3679	5	31	important	important	ADJ
cana-3679	5	32	role	role	NOUN
cana-3679	5	33	in	in	ADP
cana-3679	5	34	agriculture	agriculture	NOUN
cana-3679	5	35	.	.	PUNCT
cana-3679	6	1	water	water	NOUN
cana-3679	6	2	resources	resource	NOUN
cana-3679	6	3	management	management	NOUN
cana-3679	6	4	and	and	CCONJ
cana-3679	6	5	environmental	environmental	ADJ
cana-3679	6	6	monitoring	monitoring	NOUN
cana-3679	6	7	traditional	traditional	ADJ
cana-3679	6	8	estimation	estimation	NOUN
cana-3679	6	9	methods	method	NOUN
cana-3679	6	10	such	such	ADJ
cana-3679	6	11	as	as	ADP
cana-3679	6	12	ground	ground	NOUN
cana-3679	6	13	sensors	sensor	NOUN
cana-3679	6	14	and	and	CCONJ
cana-3679	6	15	remote	remote	ADJ
cana-3679	6	16	sensing	sense	VERB
cana-3679	6	17	they	they	PRON
cana-3679	6	18	are	be	AUX
cana-3679	6	19	often	often	ADV
cana-3679	6	20	limited	limit	VERB
cana-3679	6	21	by	by	ADP
cana-3679	6	22	spatial	spatial	ADJ
cana-3679	6	23	and	and	CCONJ
cana-3679	6	24	temporal	temporal	ADJ
cana-3679	6	25	resolution	resolution	NOUN
cana-3679	6	26	limitations	limitation	NOUN
cana-3679	6	27	.	.	PUNCT
cana-3679	7	1	the	the	DET
cana-3679	7	2	emergence	emergence	NOUN
cana-3679	7	3	of	of	ADP
cana-3679	7	4	deep	deep	ADJ
cana-3679	7	5	learning	learning	NOUN
cana-3679	7	6	techniques	technique	NOUN
cana-3679	7	7	offers	offer	VERB
cana-3679	7	8	promising	promise	VERB
cana-3679	7	9	solutions	solution	NOUN
cana-3679	7	10	to	to	ADP
cana-3679	7	11	these	these	DET
cana-3679	7	12	challenges	challenge	NOUN
cana-3679	7	13	.	.	PUNCT
cana-3679	8	1	by	by	ADP
cana-3679	8	2	taking	take	VERB
cana-3679	8	3	advantage	advantage	NOUN
cana-3679	8	4	of	of	ADP
cana-3679	8	5	a	a	DET
cana-3679	8	6	variety	variety	NOUN
cana-3679	8	7	of	of	ADP
cana-3679	8	8	information	information	NOUN
cana-3679	8	9	sources	source	NOUN
cana-3679	8	10	.	.	PUNCT
cana-3679	9	1	and	and	CCONJ
cana-3679	9	2	extract	extract	VERB
cana-3679	9	3	meaningful	meaningful	ADJ
cana-3679	9	4	patterns	pattern	NOUN
cana-3679	9	5	for	for	ADP
cana-3679	9	6	immediate	immediate	ADJ
cana-3679	9	7	predictions	prediction	NOUN
cana-3679	9	8	.	.	PUNCT
cana-3679	10	1	this	this	DET
cana-3679	10	2	study	study	NOUN
cana-3679	10	3	evaluates	evaluate	VERB
cana-3679	10	4	the	the	DET
cana-3679	10	5	performance	performance	NOUN
cana-3679	10	6	of	of	ADP
cana-3679	10	7	several	several	ADJ
cana-3679	10	8	deep	deep	ADJ
cana-3679	10	9	learning	learning	NOUN
cana-3679	10	10	models	model	NOUN
cana-3679	10	11	.	.	PUNCT
cana-3679	11	1	these	these	PRON
cana-3679	11	2	include	include	VERB
cana-3679	11	3	convolutional	convolutional	ADJ
cana-3679	11	4	neural	neural	ADJ
cana-3679	11	5	networks	network	NOUN
cana-3679	11	6	(	(	PUNCT
cana-3679	11	7	cnn	cnn	PROPN
cana-3679	11	8	)	)	PUNCT
cana-3679	11	9	,	,	PUNCT
cana-3679	11	10	long	long	ADJ
cana-3679	11	11	-	-	PUNCT
cana-3679	11	12	term	term	NOUN
cana-3679	11	13	memory	memory	NOUN
cana-3679	11	14	networks	network	NOUN
cana-3679	11	15	(	(	PUNCT
cana-3679	11	16	lstm	lstm	NOUN
cana-3679	11	17	)	)	PUNCT
cana-3679	11	18	,	,	PUNCT
cana-3679	11	19	conv	conv	ADJ
cana-3679	11	20	-	-	PUNCT
cana-3679	11	21	lstm	lstm	PROPN
cana-3679	11	22	architectures	architecture	NOUN
cana-3679	11	23	,	,	PUNCT
cana-3679	11	24	and	and	CCONJ
cana-3679	11	25	autopilot	autopilot	NOUN
cana-3679	11	26	-	-	PUNCT
cana-3679	11	27	based	base	VERB
cana-3679	11	28	methods	method	NOUN
cana-3679	11	29	.	.	PUNCT
cana-3679	12	1	with	with	ADP
cana-3679	12	2	one	one	NUM
cana-3679	12	3	level	level	NOUN
cana-3679	12	4	,	,	PUNCT
cana-3679	12	5	two	two	NUM
cana-3679	12	6	levels	level	NOUN
cana-3679	12	7	of	of	ADP
cana-3679	12	8	accuracy	accuracy	NOUN
cana-3679	12	9	.	.	PUNCT
cana-3679	13	1	the	the	DET
cana-3679	13	2	research	research	NOUN
cana-3679	13	3	combines	combine	VERB
cana-3679	13	4	data	datum	NOUN
cana-3679	13	5	sets	set	NOUN
cana-3679	13	6	from	from	ADP
cana-3679	13	7	many	many	ADJ
cana-3679	13	8	sources	source	NOUN
cana-3679	13	9	.	.	PUNCT
cana-3679	14	1	combining	combine	VERB
cana-3679	14	2	remote	remote	ADJ
cana-3679	14	3	sensing	sensing	ADJ
cana-3679	14	4	images	image	NOUN
cana-3679	14	5	in	in	ADP
cana-3679	14	6	situ	situ	ADJ
cana-3679	14	7	sensor	sensor	NOUN
cana-3679	14	8	data	datum	NOUN
cana-3679	14	9	and	and	CCONJ
cana-3679	14	10	meteorological	meteorological	ADJ
cana-3679	14	11	parameters	parameter	NOUN
cana-3679	14	12	to	to	PART
cana-3679	14	13	create	create	VERB
cana-3679	14	14	a	a	DET
cana-3679	14	15	consistent	consistent	ADJ
cana-3679	14	16	structure	structure	NOUN
cana-3679	14	17	data	datum	NOUN
cana-3679	14	18	preprocessing	preprocessing	NOUN
cana-3679	14	19	involves	involve	NOUN
cana-3679	14	20	preserving	preserve	VERB
cana-3679	14	21	missing	miss	VERB
cana-3679	14	22	values	value	NOUN
cana-3679	14	23	.	.	PUNCT
cana-3679	15	1	normalization	normalization	NOUN
cana-3679	15	2	and	and	CCONJ
cana-3679	15	3	resource	resource	NOUN
cana-3679	15	4	selection	selection	NOUN
cana-3679	15	5	to	to	PART
cana-3679	15	6	guarantee	guarantee	VERB
cana-3679	15	7	model	model	NOUN
cana-3679	15	8	robustness	robustness	NOUN
cana-3679	15	9	.	.	PUNCT
cana-3679	16	1	each	each	DET
cana-3679	16	2	model	model	NOUN
cana-3679	16	3	is	be	AUX
cana-3679	16	4	optimized	optimize	VERB
cana-3679	16	5	by	by	ADP
cana-3679	16	6	adjusting	adjust	VERB
cana-3679	16	7	hyperparameters	hyperparameter	NOUN
cana-3679	16	8	and	and	CCONJ
cana-3679	16	9	evaluated	evaluate	VERB
cana-3679	16	10	using	use	VERB
cana-3679	16	11	key	key	ADJ
cana-3679	16	12	performance	performance	NOUN
cana-3679	16	13	measures	measure	NOUN
cana-3679	16	14	such	such	ADJ
cana-3679	16	15	as	as	ADP
cana-3679	16	16	root	root	NOUN
cana-3679	16	17	mean	mean	VERB
cana-3679	16	18	squared	square	VERB
cana-3679	16	19	error	error	NOUN
cana-3679	16	20	(	(	PUNCT
cana-3679	16	21	rmse	rmse	NOUN
cana-3679	16	22	)	)	PUNCT
cana-3679	16	23	,	,	PUNCT
cana-3679	16	24	mean	mean	VERB
cana-3679	16	25	absolute	absolute	ADJ
cana-3679	16	26	error	error	NOUN
cana-3679	16	27	(	(	PUNCT
cana-3679	16	28	mae	mae	PROPN
cana-3679	16	29	)	)	PUNCT
cana-3679	16	30	and	and	CCONJ
cana-3679	16	31	mean	mean	VERB
cana-3679	16	32	absolute	absolute	ADJ
cana-3679	16	33	percentage	percentage	NOUN
cana-3679	16	34	error	error	NOUN
cana-3679	16	35	(	(	PUNCT
cana-3679	16	36	mape	mape	NOUN
cana-3679	16	37	)	)	PUNCT
cana-3679	16	38	.	.	PUNCT
cana-3679	17	1	the	the	DET
cana-3679	17	2	results	result	NOUN
cana-3679	17	3	show	show	VERB
cana-3679	17	4	that	that	SCONJ
cana-3679	17	5	the	the	DET
cana-3679	17	6	transformer	transformer	NOUN
cana-3679	17	7	model	model	NOUN
cana-3679	17	8	outperforms	outperform	VERB
cana-3679	17	9	other	other	ADJ
cana-3679	17	10	approaches	approach	NOUN
cana-3679	17	11	,	,	PUNCT
cana-3679	17	12	achieving	achieve	VERB
cana-3679	17	13	lower	low	ADJ
cana-3679	17	14	rmse	rmse	NOUN
cana-3679	17	15	and	and	CCONJ
cana-3679	17	16	mae	mae	PROPN
cana-3679	17	17	while	while	SCONJ
cana-3679	17	18	maintaining	maintain	VERB
cana-3679	17	19	interpretability	interpretability	NOUN
cana-3679	17	20	and	and	CCONJ
cana-3679	17	21	computational	computational	ADJ
cana-3679	17	22	efficiency	efficiency	NOUN
cana-3679	17	23	.	.	PUNCT
cana-3679	18	1	the	the	DET
cana-3679	18	2	study	study	NOUN
cana-3679	18	3	also	also	ADV
cana-3679	18	4	highlights	highlight	VERB
cana-3679	18	5	the	the	DET
cana-3679	18	6	role	role	NOUN
cana-3679	18	7	of	of	ADP
cana-3679	18	8	spatio	spatio	PROPN
cana-3679	18	9	-	-	PUNCT
cana-3679	18	10	temporal	temporal	ADJ
cana-3679	18	11	feature	feature	NOUN
cana-3679	18	12	extraction	extraction	NOUN
cana-3679	18	13	in	in	ADP
cana-3679	18	14	improving	improve	VERB
cana-3679	18	15	forecast	forecast	NOUN
cana-3679	18	16	accuracy	accuracy	NOUN
cana-3679	18	17	.	.	PUNCT
cana-3679	19	1	and	and	CCONJ
cana-3679	19	2	emphasizes	emphasize	VERB
cana-3679	19	3	the	the	DET
cana-3679	19	4	importance	importance	NOUN
cana-3679	19	5	of	of	ADP
cana-3679	19	6	real	real	ADJ
cana-3679	19	7	-	-	PUNCT
cana-3679	19	8	time	time	NOUN
cana-3679	19	9	anomaly	anomaly	NOUN
cana-3679	19	10	detection	detection	NOUN
cana-3679	19	11	and	and	CCONJ
cana-3679	19	12	forecasting	forecasting	NOUN
cana-3679	19	13	resources	resource	NOUN
cana-3679	19	14	.	.	PUNCT
cana-3679	20	1	comparative	comparative	ADJ
cana-3679	20	2	analysis	analysis	NOUN
cana-3679	20	3	reveals	reveal	VERB
cana-3679	20	4	the	the	DET
cana-3679	20	5	strengths	strength	NOUN
cana-3679	20	6	and	and	CCONJ
cana-3679	20	7	limitations	limitation	NOUN
cana-3679	20	8	of	of	ADP
cana-3679	20	9	each	each	DET
cana-3679	20	10	model	model	NOUN
cana-3679	20	11	.	.	PUNCT
cana-3679	21	1	it	it	PRON
cana-3679	21	2	provides	provide	VERB
cana-3679	21	3	insights	insight	NOUN
cana-3679	21	4	into	into	ADP
cana-3679	21	5	suitability	suitability	NOUN
cana-3679	21	6	for	for	ADP
cana-3679	21	7	different	different	ADJ
cana-3679	21	8	applications	application	NOUN
cana-3679	21	9	.	.	PUNCT
cana-3679	22	1	this	this	DET
cana-3679	22	2	research	research	NOUN
cana-3679	22	3	emphasizes	emphasize	VERB
cana-3679	22	4	or	or	CCONJ
cana-3679	22	5	the	the	DET
cana-3679	22	6	potential	potential	NOUN
cana-3679	22	7	for	for	ADP
cana-3679	22	8	deep	deep	ADJ
cana-3679	22	9	learning	learning	NOUN
cana-3679	22	10	.	.	PUNCT
cana-3679	23	1	future	future	ADJ
cana-3679	23	2	work	work	NOUN
cana-3679	23	3	will	will	AUX
cana-3679	23	4	include	include	VERB
cana-3679	23	5	additional	additional	ADJ
cana-3679	23	6	data	datum	NOUN
cana-3679	23	7	sources	source	NOUN
cana-3679	23	8	,	,	PUNCT
cana-3679	23	9	such	such	ADJ
cana-3679	23	10	as	as	ADP
cana-3679	23	11	single	single	ADJ
cana-3679	23	12	types	type	NOUN
cana-3679	23	13	and	and	CCONJ
cana-3679	23	14	topographies	topography	NOUN
cana-3679	23	15	.	.	PUNCT
cana-3679	24	1	and	and	CCONJ
cana-3679	24	2	explore	explore	VERB
cana-3679	24	3	centralized	centralized	ADJ
cana-3679	24	4	learning	learning	NOUN
cana-3679	24	5	for	for	ADP
cana-3679	24	6	graded	grade	VERB
cana-3679	24	7	use	use	NOUN
cana-3679	24	8	.	.	PUNCT
cana-3679	25	1	these	these	DET
cana-3679	25	2	findings	finding	NOUN
cana-3679	25	3	contribute	contribute	VERB
cana-3679	25	4	to	to	ADP
cana-3679	25	5	the	the	DET
cana-3679	25	6	development	development	NOUN
cana-3679	25	7	of	of	ADP
cana-3679	25	8	state	state	NOUN
cana-3679	25	9	-	-	PUNCT
cana-3679	25	10	of	of	ADP
cana-3679	25	11	-	-	PUNCT
cana-3679	25	12	the	the	DET
cana-3679	25	13	-	-	PUNCT
cana-3679	25	14	art	art	NOUN
cana-3679	25	15	methods	method	NOUN
cana-3679	25	16	.	.	PUNCT
cana-3679	26	1	it	it	PRON
cana-3679	26	2	bridges	bridge	VERB
cana-3679	26	3	the	the	DET
cana-3679	26	4	gap	gap	NOUN
cana-3679	26	5	between	between	ADP
cana-3679	26	6	innovation	innovation	NOUN
cana-3679	26	7	in	in	ADP
cana-3679	26	8	research	research	NOUN
cana-3679	26	9	and	and	CCONJ
cana-3679	26	10	practical	practical	ADJ
cana-3679	26	11	applications	application	NOUN
cana-3679	26	12	in	in	ADP
cana-3679	26	13	environmental	environmental	ADJ
cana-3679	26	14	sustainability	sustainability	NOUN
cana-3679	26	15	.	.	PUNCT
cana-3679	27	1	keywords	keyword	NOUN
cana-3679	27	2	:	:	PUNCT
cana-3679	27	3	soil	soil	NOUN
cana-3679	27	4	moisture	moisture	NOUN
cana-3679	27	5	prediction	prediction	NOUN
cana-3679	27	6	;	;	PUNCT
cana-3679	27	7	deep	deep	ADJ
cana-3679	27	8	learning	learning	NOUN
cana-3679	27	9	models	model	NOUN
cana-3679	27	10	;	;	PUNCT
cana-3679	27	11	remote	remote	ADJ
cana-3679	27	12	sensing	sense	VERB
cana-3679	27	13	data	datum	NOUN
cana-3679	27	14	;	;	PUNCT
cana-3679	27	15	spatio	spatio	NOUN
cana-3679	27	16	-	-	PUNCT
cana-3679	27	17	temporal	temporal	ADJ
cana-3679	27	18	analysis	analysis	NOUN
cana-3679	27	19	;	;	PUNCT
cana-3679	27	20	transformer	transformer	NOUN
cana-3679	27	21	architecture	architecture	NOUN
cana-3679	27	22	.	.	PUNCT
cana-3679	28	1	1	1	X
cana-3679	28	2	.	.	X
cana-3679	28	3	introduction	introduction	NOUN
cana-3679	28	4	this	this	PRON
cana-3679	28	5	alone	alone	ADV
cana-3679	28	6	is	be	AUX
cana-3679	28	7	an	an	DET
cana-3679	28	8	essential	essential	ADJ
cana-3679	28	9	component	component	NOUN
cana-3679	28	10	of	of	ADP
cana-3679	28	11	the	the	DET
cana-3679	28	12	earth	earth	NOUN
cana-3679	28	13	's	's	PART
cana-3679	28	14	ecosystem	ecosystem	NOUN
cana-3679	28	15	.	.	PUNCT
cana-3679	29	1	which	which	PRON
cana-3679	29	2	influences	influence	VERB
cana-3679	29	3	agricultural	agricultural	ADJ
cana-3679	29	4	production	production	NOUN
cana-3679	29	5	hydrologic	hydrologic	ADJ
cana-3679	29	6	cycle	cycle	NOUN
cana-3679	29	7	and	and	CCONJ
cana-3679	29	8	climate	climate	NOUN
cana-3679	29	9	system	system	NOUN
cana-3679	29	10	accurate	accurate	ADJ
cana-3679	29	11	moisture	moisture	NOUN
cana-3679	29	12	forecasts	forecast	NOUN
cana-3679	29	13	alone	alone	ADV
cana-3679	29	14	are	be	AUX
cana-3679	29	15	essential	essential	ADJ
cana-3679	29	16	for	for	ADP
cana-3679	29	17	effective	effective	ADJ
cana-3679	29	18	water	water	NOUN
cana-3679	29	19	resource	resource	NOUN
cana-3679	29	20	management	management	NOUN
cana-3679	29	21	.	.	PUNCT
cana-3679	30	1	drought	drought	NOUN
cana-3679	30	2	relief	relief	NOUN
cana-3679	30	3	and	and	CCONJ
cana-3679	30	4	precision	precision	NOUN
cana-3679	30	5	agriculture	agriculture	NOUN
cana-3679	30	6	meanwhile	meanwhile	ADV
cana-3679	30	7	traditional	traditional	ADJ
cana-3679	30	8	methods	method	NOUN
cana-3679	30	9	for	for	ADP
cana-3679	30	10	estimating	estimate	VERB
cana-3679	30	11	humidity	humidity	NOUN
cana-3679	30	12	alone	alone	ADV
cana-3679	30	13	include	include	VERB
cana-3679	30	14	ground	ground	NOUN
cana-3679	30	15	sensors	sensor	NOUN
cana-3679	30	16	and	and	CCONJ
cana-3679	30	17	remote	remote	ADJ
cana-3679	30	18	sensing	sensing	NOUN
cana-3679	30	19	.	.	PUNCT
cana-3679	31	1	they	they	PRON
cana-3679	31	2	often	often	ADV
cana-3679	31	3	face	face	VERB
cana-3679	31	4	limitations	limitation	NOUN
cana-3679	31	5	in	in	ADP
cana-3679	31	6	spatial	spatial	ADJ
cana-3679	31	7	and	and	CCONJ
cana-3679	31	8	temporal	temporal	ADJ
cana-3679	31	9	coverage	coverage	NOUN
cana-3679	31	10	.	.	PUNCT
cana-3679	32	1	data	datum	NOUN
cana-3679	32	2	resolution	resolution	NOUN
cana-3679	32	3	and	and	CCONJ
cana-3679	32	4	real	real	ADJ
cana-3679	32	5	-	-	PUNCT
cana-3679	32	6	time	time	NOUN
cana-3679	32	7	enforcement	enforcement	NOUN
cana-3679	32	8	[	[	X
cana-3679	32	9	1][2][3	1][2][3	NUM
cana-3679	32	10	]	]	X
cana-3679	32	11	recent	recent	ADJ
cana-3679	32	12	advances	advance	NOUN
cana-3679	32	13	in	in	ADP
cana-3679	32	14	deep	deep	ADJ
cana-3679	32	15	learning	learning	NOUN
cana-3679	32	16	have	have	AUX
cana-3679	32	17	opened	open	VERB
cana-3679	32	18	new	new	ADJ
cana-3679	32	19	avenues	avenue	NOUN
cana-3679	32	20	to	to	PART
cana-3679	32	21	face	face	VERB
cana-3679	32	22	these	these	DET
cana-3679	32	23	challenges	challenge	NOUN
cana-3679	32	24	.	.	PUNCT
cana-3679	33	1	techniques	technique	NOUN
cana-3679	33	2	such	such	ADJ
cana-3679	33	3	as	as	ADP
cana-3679	33	4	convolutional	convolutional	ADJ
cana-3679	33	5	neural	neural	ADJ
cana-3679	33	6	networks	network	NOUN
cana-3679	33	7	(	(	PUNCT
cana-3679	33	8	cnn	cnn	PROPN
cana-3679	33	9	)	)	PUNCT
cana-3679	33	10	,	,	PUNCT
cana-3679	33	11	recurrent	recurrent	ADJ
cana-3679	33	12	neural	neural	ADJ
cana-3679	33	13	networks	network	NOUN
cana-3679	33	14	(	(	PUNCT
cana-3679	33	15	rnn	rnn	PROPN
cana-3679	33	16	)	)	PUNCT
cana-3679	33	17	,	,	PUNCT
cana-3679	33	18	and	and	CCONJ
cana-3679	33	19	different	different	ADJ
cana-3679	33	20	models	model	NOUN
cana-3679	33	21	have	have	AUX
cana-3679	33	22	emerged	emerge	VERB
cana-3679	33	23	.	.	PUNCT
cana-3679	34	1	it	it	PRON
cana-3679	34	2	shows	show	VERB
cana-3679	34	3	remarkable	remarkable	ADJ
cana-3679	34	4	success	success	NOUN
cana-3679	34	5	in	in	ADP
cana-3679	34	6	extracting	extract	VERB
cana-3679	34	7	spatial	spatial	ADJ
cana-3679	34	8	and	and	CCONJ
cana-3679	34	9	temporal	temporal	ADJ
cana-3679	34	10	features	feature	NOUN
cana-3679	34	11	from	from	ADP
cana-3679	34	12	complex	complex	ADJ
cana-3679	34	13	datasets	dataset	NOUN
cana-3679	34	14	.	.	PUNCT
cana-3679	35	1	these	these	DET
cana-3679	35	2	methods	method	NOUN
cana-3679	35	3	make	make	VERB
cana-3679	35	4	use	use	NOUN
cana-3679	35	5	of	of	ADP
cana-3679	35	6	various	various	ADJ
cana-3679	35	7	data	datum	NOUN
cana-3679	35	8	sources	source	NOUN
cana-3679	35	9	.	.	PUNCT
cana-3679	36	1	including	include	VERB
cana-3679	36	2	remote	remote	ADJ
cana-3679	36	3	sensing	sensing	NOUN
cana-3679	36	4	images	image	NOUN
cana-3679	36	5	in	in	ADP
cana-3679	36	6	situ	situ	ADJ
cana-3679	36	7	measurements	measurement	NOUN
cana-3679	36	8	and	and	CCONJ
cana-3679	36	9	meteorological	meteorological	ADJ
cana-3679	36	10	information	information	NOUN
cana-3679	36	11	to	to	PART
cana-3679	36	12	forecast	forecast	VERB
cana-3679	36	13	humidity	humidity	NOUN
cana-3679	36	14	alone	alone	ADJ
cana-3679	36	15	with	with	ADP
cana-3679	36	16	high	high	ADJ
cana-3679	36	17	accuracy	accuracy	NOUN
cana-3679	36	18	and	and	CCONJ
cana-3679	36	19	adaptability	adaptability	NOUN
cana-3679	36	20	[	[	X
cana-3679	36	21	4	4	NUM
cana-3679	36	22	]	]	PUNCT
cana-3679	36	23	mailto:tarunvashishth@gmail.com	mailto:tarunvashishth@gmail.com	NOUN
cana-3679	36	24	communications	communication	NOUN
cana-3679	36	25	on	on	ADP
cana-3679	36	26	applied	apply	VERB
cana-3679	36	27	nonlinear	nonlinear	ADJ
cana-3679	36	28	analysis	analysis	NOUN
cana-3679	36	29	issn	issn	NOUN
cana-3679	36	30	:	:	PUNCT
cana-3679	36	31	1074	1074	NUM
cana-3679	36	32	-	-	PUNCT
cana-3679	36	33	133x	133x	NUM
cana-3679	36	34	vol	vol	NOUN
cana-3679	36	35	32	32	NUM
cana-3679	36	36	no	no	NOUN
cana-3679	36	37	.	.	PUNCT
cana-3679	37	1	8s	8s	PROPN
cana-3679	37	2	(	(	PUNCT
cana-3679	37	3	2025	2025	NUM
cana-3679	37	4	)	)	PUNCT
cana-3679	37	5	330	330	NUM
cana-3679	37	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	37	7	this	this	DET
cana-3679	37	8	research	research	NOUN
cana-3679	37	9	paper	paper	NOUN
cana-3679	37	10	focuses	focus	VERB
cana-3679	37	11	on	on	ADP
cana-3679	37	12	evaluating	evaluate	VERB
cana-3679	37	13	the	the	DET
cana-3679	37	14	performance	performance	NOUN
cana-3679	37	15	of	of	ADP
cana-3679	37	16	several	several	ADJ
cana-3679	37	17	deep	deep	ADJ
cana-3679	37	18	learning	learning	NOUN
cana-3679	37	19	architectures	architecture	NOUN
cana-3679	37	20	such	such	ADJ
cana-3679	37	21	as	as	ADP
cana-3679	37	22	cnn	cnn	PROPN
cana-3679	37	23	,	,	PUNCT
cana-3679	37	24	long	long	ADJ
cana-3679	37	25	-	-	PUNCT
cana-3679	37	26	term	term	NOUN
cana-3679	37	27	and	and	CCONJ
cana-3679	37	28	short	short	ADJ
cana-3679	37	29	-	-	PUNCT
cana-3679	37	30	term	term	NOUN
cana-3679	37	31	memory	memory	NOUN
cana-3679	37	32	(	(	PUNCT
cana-3679	37	33	lstm	lstm	NOUN
cana-3679	37	34	)	)	PUNCT
cana-3679	37	35	networks	network	NOUN
cana-3679	37	36	,	,	PUNCT
cana-3679	37	37	conv	conv	NOUN
cana-3679	37	38	-	-	PUNCT
cana-3679	37	39	lstm	lstm	NOUN
cana-3679	37	40	,	,	PUNCT
cana-3679	37	41	and	and	CCONJ
cana-3679	37	42	transformer	transformer	NOUN
cana-3679	37	43	models	model	NOUN
cana-3679	37	44	for	for	ADP
cana-3679	37	45	single	single	ADJ
cana-3679	37	46	humidity	humidity	NOUN
cana-3679	37	47	forecasts	forecast	NOUN
cana-3679	37	48	.	.	PUNCT
cana-3679	38	1	this	this	DET
cana-3679	38	2	study	study	NOUN
cana-3679	38	3	aims	aim	VERB
cana-3679	38	4	to	to	PART
cana-3679	38	5	identify	identify	VERB
cana-3679	38	6	the	the	DET
cana-3679	38	7	best	good	ADJ
cana-3679	38	8	performing	performing	NOUN
cana-3679	38	9	models	model	NOUN
cana-3679	38	10	for	for	ADP
cana-3679	38	11	accurate	accurate	ADJ
cana-3679	38	12	and	and	CCONJ
cana-3679	38	13	reliable	reliable	ADJ
cana-3679	38	14	single	single	ADJ
cana-3679	38	15	humidity	humidity	NOUN
cana-3679	38	16	forecasts	forecast	NOUN
cana-3679	38	17	.	.	PUNCT
cana-3679	39	1	by	by	ADP
cana-3679	39	2	comparing	compare	VERB
cana-3679	39	3	these	these	DET
cana-3679	39	4	approaches	approach	NOUN
cana-3679	39	5	across	across	ADP
cana-3679	39	6	different	different	ADJ
cana-3679	39	7	datasets	dataset	NOUN
cana-3679	39	8	and	and	CCONJ
cana-3679	39	9	environments	environment	NOUN
cana-3679	39	10	,	,	PUNCT
cana-3679	39	11	this	this	DET
cana-3679	39	12	paper	paper	NOUN
cana-3679	39	13	also	also	ADV
cana-3679	39	14	explores	explore	VERB
cana-3679	39	15	the	the	DET
cana-3679	39	16	interpretability	interpretability	NOUN
cana-3679	39	17	and	and	CCONJ
cana-3679	39	18	computational	computational	ADJ
cana-3679	39	19	efficiency	efficiency	NOUN
cana-3679	39	20	of	of	ADP
cana-3679	39	21	these	these	DET
cana-3679	39	22	models	model	NOUN
cana-3679	39	23	.	.	PUNCT
cana-3679	40	1	it	it	PRON
cana-3679	40	2	provides	provide	VERB
cana-3679	40	3	insights	insight	NOUN
cana-3679	40	4	into	into	ADP
cana-3679	40	5	its	its	PRON
cana-3679	40	6	practical	practical	ADJ
cana-3679	40	7	application	application	NOUN
cana-3679	40	8	in	in	ADP
cana-3679	40	9	real	real	ADJ
cana-3679	40	10	situations.[7][8	situations.[7][8	PROPN
cana-3679	40	11	]	]	PUNCT
cana-3679	40	12	the	the	DET
cana-3679	40	13	findings	finding	NOUN
cana-3679	40	14	of	of	ADP
cana-3679	40	15	this	this	DET
cana-3679	40	16	research	research	NOUN
cana-3679	40	17	contribute	contribute	VERB
cana-3679	40	18	to	to	ADP
cana-3679	40	19	the	the	DET
cana-3679	40	20	development	development	NOUN
cana-3679	40	21	of	of	ADP
cana-3679	40	22	a	a	DET
cana-3679	40	23	standalone	standalone	ADJ
cana-3679	40	24	moisture	moisture	NOUN
cana-3679	40	25	forecasting	forecasting	NOUN
cana-3679	40	26	method	method	NOUN
cana-3679	40	27	.	.	PUNCT
cana-3679	41	1	to	to	PART
cana-3679	41	2	progress	progress	VERB
cana-3679	41	3	it	it	PRON
cana-3679	41	4	offers	offer	VERB
cana-3679	41	5	a	a	DET
cana-3679	41	6	robust	robust	ADJ
cana-3679	41	7	framework	framework	NOUN
cana-3679	41	8	to	to	PART
cana-3679	41	9	meet	meet	VERB
cana-3679	41	10	pressing	press	VERB
cana-3679	41	11	challenges	challenge	NOUN
cana-3679	41	12	in	in	ADP
cana-3679	41	13	agriculture	agriculture	NOUN
cana-3679	41	14	,	,	PUNCT
cana-3679	41	15	water	water	NOUN
cana-3679	41	16	management	management	NOUN
cana-3679	41	17	and	and	CCONJ
cana-3679	41	18	environmental	environmental	ADJ
cana-3679	41	19	sustainability	sustainability	NOUN
cana-3679	41	20	.	.	PUNCT
cana-3679	42	1	the	the	DET
cana-3679	42	2	study	study	NOUN
cana-3679	42	3	highlights	highlight	VERB
cana-3679	42	4	the	the	DET
cana-3679	42	5	importance	importance	NOUN
cana-3679	42	6	of	of	ADP
cana-3679	42	7	integrating	integrate	VERB
cana-3679	42	8	advanced	advanced	ADJ
cana-3679	42	9	machine	machine	NOUN
cana-3679	42	10	learning	learn	VERB
cana-3679	42	11	techniques	technique	NOUN
cana-3679	42	12	with	with	ADP
cana-3679	42	13	domain	domain	NOUN
cana-3679	42	14	-	-	PUNCT
cana-3679	42	15	specific	specific	ADJ
cana-3679	42	16	knowledge	knowledge	NOUN
cana-3679	42	17	.	.	PUNCT
cana-3679	43	1	to	to	PART
cana-3679	43	2	increase	increase	VERB
cana-3679	43	3	prediction	prediction	NOUN
cana-3679	43	4	accuracy	accuracy	NOUN
cana-3679	43	5	and	and	CCONJ
cana-3679	43	6	promote	promote	VERB
cana-3679	43	7	innovation	innovation	NOUN
cana-3679	43	8	in	in	ADP
cana-3679	43	9	environmental	environmental	ADJ
cana-3679	43	10	monitoring	monitoring	NOUN
cana-3679	43	11	systems.[5][6	systems.[5][6	PROPN
cana-3679	43	12	]	]	PUNCT
cana-3679	43	13	table	table	NOUN
cana-3679	43	14	1	1	NUM
cana-3679	43	15	.	.	PUNCT
cana-3679	43	16	soil	soil	NOUN
cana-3679	43	17	moisture	moisture	NOUN
cana-3679	43	18	probe	probe	NOUN
cana-3679	43	19	with	with	ADP
cana-3679	43	20	remote	remote	ADJ
cana-3679	43	21	sensing	sense	VERB
cana-3679	43	22	data	datum	NOUN
cana-3679	43	23	various	various	ADJ
cana-3679	43	24	physical	physical	ADJ
cana-3679	43	25	model	model	NOUN
cana-3679	43	26	ground	ground	NOUN
cana-3679	43	27	texture	texture	NOUN
cana-3679	43	28	fc	fc	PROPN
cana-3679	43	29	(	(	PUNCT
cana-3679	43	30	%	%	INTJ
cana-3679	43	31	)	)	PUNCT
cana-3679	43	32	pwp	pwp	PROPN
cana-3679	43	33	(	(	PUNCT
cana-3679	43	34	%	%	INTJ
cana-3679	43	35	)	)	PUNCT
cana-3679	43	36	taw	taw	PROPN
cana-3679	43	37	(	(	PUNCT
cana-3679	43	38	%	%	INTJ
cana-3679	43	39	)	)	PUNCT
cana-3679	43	40	sand	sand	NOUN
cana-3679	43	41	11	11	NUM
cana-3679	43	42	4	4	NUM
cana-3679	43	43	6	6	NUM
cana-3679	43	44	loamy	loamy	NOUN
cana-3679	43	45	sand	sand	NOUN
cana-3679	43	46	17	17	NUM
cana-3679	43	47	7	7	NUM
cana-3679	43	48	11	11	NUM
cana-3679	43	49	sandy	sandy	ADJ
cana-3679	43	50	loam	loam	NOUN
cana-3679	43	51	22	22	NUM
cana-3679	43	52	11	11	NUM
cana-3679	43	53	14	14	NUM
cana-3679	43	54	loam	loam	NOUN
cana-3679	43	55	22	22	NUM
cana-3679	43	56	14	14	NUM
cana-3679	43	57	15	15	NUM
cana-3679	43	58	silt	silt	NOUN
cana-3679	43	59	loam	loam	PROPN
cana-3679	43	60	33	33	NUM
cana-3679	43	61	14	14	NUM
cana-3679	43	62	13	13	NUM
cana-3679	43	63	sandy	sandy	ADJ
cana-3679	43	64	clay	clay	NOUN
cana-3679	43	65	loam	loam	NOUN
cana-3679	43	66	40	40	NUM
cana-3679	43	67	19	19	NUM
cana-3679	43	68	23	23	NUM
cana-3679	43	69	sandy	sandy	ADJ
cana-3679	43	70	clay	clay	NOUN
cana-3679	43	71	33	33	NUM
cana-3679	43	72	17	17	NUM
cana-3679	43	73	17	17	NUM
cana-3679	43	74	clay	clay	NOUN
cana-3679	43	75	loam	loam	PROPN
cana-3679	43	76	28	28	NUM
cana-3679	43	77	17	17	NUM
cana-3679	43	78	13	13	NUM
cana-3679	43	79	silty	silty	NOUN
cana-3679	43	80	clay	clay	NOUN
cana-3679	43	81	43	43	NUM
cana-3679	43	82	23	23	NUM
cana-3679	43	83	13	13	NUM
cana-3679	43	84	clay	clay	NOUN
cana-3679	43	85	44	44	NUM
cana-3679	43	86	25	25	NUM
cana-3679	43	87	21	21	NUM
cana-3679	43	88	in	in	ADP
cana-3679	43	89	the	the	DET
cana-3679	43	90	table	table	NOUN
cana-3679	43	91	1	1	NUM
cana-3679	43	92	shows	show	VERB
cana-3679	43	93	the	the	DET
cana-3679	43	94	water	water	NOUN
cana-3679	43	95	retention	retention	NOUN
cana-3679	43	96	capacity	capacity	NOUN
cana-3679	43	97	of	of	ADP
cana-3679	43	98	the	the	DET
cana-3679	43	99	soles	sol	NOUN
cana-3679	43	100	for	for	ADP
cana-3679	43	101	a	a	DET
cana-3679	43	102	variety	variety	NOUN
cana-3679	43	103	of	of	ADP
cana-3679	43	104	surfaces	surface	NOUN
cana-3679	43	105	,	,	PUNCT
cana-3679	43	106	including	include	VERB
cana-3679	43	107	sand	sand	NOUN
cana-3679	43	108	,	,	PUNCT
cana-3679	43	109	argillesius	argillesius	NOUN
cana-3679	43	110	sand	sand	NOUN
cana-3679	43	111	.	.	PUNCT
cana-3679	44	1	sandy	sandy	ADJ
cana-3679	44	2	clay	clay	NOUN
cana-3679	44	3	,	,	PUNCT
cana-3679	44	4	clay	clay	NOUN
cana-3679	44	5	,	,	PUNCT
cana-3679	44	6	silty	silty	NOUN
cana-3679	44	7	clay	clay	NOUN
cana-3679	44	8	,	,	PUNCT
cana-3679	44	9	sandy	sandy	ADJ
cana-3679	44	10	clay	clay	NOUN
cana-3679	44	11	sand	sand	NOUN
cana-3679	44	12	clay	clay	NOUN
cana-3679	44	13	,	,	PUNCT
cana-3679	44	14	silt	silt	NOUN
cana-3679	44	15	clay	clay	NOUN
cana-3679	44	16	,	,	PUNCT
cana-3679	44	17	silt	silt	NOUN
cana-3679	44	18	clay	clay	NOUN
cana-3679	44	19	and	and	CCONJ
cana-3679	44	20	clay	clay	NOUN
cana-3679	44	21	for	for	ADP
cana-3679	44	22	each	each	DET
cana-3679	44	23	surface	surface	NOUN
cana-3679	44	24	.	.	PUNCT
cana-3679	45	1	it	it	PRON
cana-3679	45	2	provides	provide	VERB
cana-3679	45	3	field	field	NOUN
cana-3679	45	4	capacity	capacity	NOUN
cana-3679	45	5	(	(	PUNCT
cana-3679	45	6	fc	fc	INTJ
cana-3679	45	7	)	)	PUNCT
cana-3679	45	8	,	,	PUNCT
cana-3679	45	9	permanent	permanent	ADJ
cana-3679	45	10	wrinkling	wrinkling	NOUN
cana-3679	45	11	point	point	NOUN
cana-3679	45	12	(	(	PUNCT
cana-3679	45	13	pwp	pwp	PROPN
cana-3679	45	14	)	)	PUNCT
cana-3679	45	15	,	,	PUNCT
cana-3679	45	16	and	and	CCONJ
cana-3679	45	17	in	in	ADP
cana-3679	45	18	some	some	DET
cana-3679	45	19	cases	case	NOUN
cana-3679	45	20	total	total	VERB
cana-3679	45	21	available	available	ADJ
cana-3679	45	22	water	water	NOUN
cana-3679	45	23	(	(	PUNCT
cana-3679	45	24	taw	taw	PROPN
cana-3679	45	25	)	)	PUNCT
cana-3679	45	26	,	,	PUNCT
cana-3679	45	27	which	which	PRON
cana-3679	45	28	are	be	AUX
cana-3679	45	29	the	the	DET
cana-3679	45	30	differences	difference	NOUN
cana-3679	45	31	between	between	ADP
cana-3679	45	32	fc	fc	PROPN
cana-3679	45	33	and	and	CCONJ
cana-3679	45	34	pwp	pwp	PROPN
cana-3679	45	35	.	.	PUNCT
cana-3679	46	1	this	this	DET
cana-3679	46	2	information	information	NOUN
cana-3679	46	3	is	be	AUX
cana-3679	46	4	valuable	valuable	ADJ
cana-3679	46	5	in	in	ADP
cana-3679	46	6	understanding	understand	VERB
cana-3679	46	7	how	how	SCONJ
cana-3679	46	8	much	much	ADJ
cana-3679	46	9	water	water	NOUN
cana-3679	46	10	is	be	AUX
cana-3679	46	11	available	available	ADJ
cana-3679	46	12	.	.	PUNCT
cana-3679	47	1	what	what	PRON
cana-3679	47	2	are	be	AUX
cana-3679	47	3	the	the	DET
cana-3679	47	4	different	different	ADJ
cana-3679	47	5	types	type	NOUN
cana-3679	47	6	of	of	ADP
cana-3679	47	7	libertum	libertum	NOUN
cana-3679	47	8	and	and	CCONJ
cana-3679	47	9	water	water	NOUN
cana-3679	47	10	,	,	PUNCT
cana-3679	47	11	which	which	PRON
cana-3679	47	12	is	be	AUX
cana-3679	47	13	important	important	ADJ
cana-3679	47	14	for	for	ADP
cana-3679	47	15	plant	plant	NOUN
cana-3679	47	16	growth	growth	NOUN
cana-3679	47	17	and	and	CCONJ
cana-3679	47	18	irrigation	irrigation	NOUN
cana-3679	47	19	management	management	NOUN
cana-3679	47	20	?	?	PUNCT
cana-3679	48	1	in	in	ADP
cana-3679	48	2	the	the	DET
cana-3679	48	3	method	method	NOUN
cana-3679	48	4	section	section	NOUN
cana-3679	48	5	we	we	PRON
cana-3679	48	6	detail	detail	VERB
cana-3679	48	7	how	how	SCONJ
cana-3679	48	8	the	the	DET
cana-3679	48	9	deep	deep	ADJ
cana-3679	48	10	learning	learning	NOUN
cana-3679	48	11	proposal	proposal	NOUN
cana-3679	48	12	is	be	AUX
cana-3679	48	13	architectured	architectured	ADJ
cana-3679	48	14	.	.	PUNCT
cana-3679	49	1	performance	performance	NOUN
cana-3679	49	2	results	result	NOUN
cana-3679	49	3	are	be	AUX
cana-3679	49	4	presented	present	VERB
cana-3679	49	5	relative	relative	ADV
cana-3679	49	6	to	to	ADP
cana-3679	49	7	existing	exist	VERB
cana-3679	49	8	algorithms	algorithm	NOUN
cana-3679	49	9	.	.	PUNCT
cana-3679	50	1	and	and	CCONJ
cana-3679	50	2	discuss	discuss	VERB
cana-3679	50	3	the	the	DET
cana-3679	50	4	implications	implication	NOUN
cana-3679	50	5	of	of	ADP
cana-3679	50	6	these	these	DET
cana-3679	50	7	findings	finding	NOUN
cana-3679	50	8	for	for	ADP
cana-3679	50	9	future	future	ADJ
cana-3679	50	10	agricultural	agricultural	ADJ
cana-3679	50	11	practice	practice	NOUN
cana-3679	50	12	and	and	CCONJ
cana-3679	50	13	research	research	NOUN
cana-3679	50	14	.	.	PUNCT
cana-3679	51	1	this	this	DET
cana-3679	51	2	study	study	NOUN
cana-3679	51	3	aims	aim	VERB
cana-3679	51	4	to	to	PART
cana-3679	51	5	advance	advance	VERB
cana-3679	51	6	the	the	DET
cana-3679	51	7	use	use	NOUN
cana-3679	51	8	of	of	ADP
cana-3679	51	9	machine	machine	NOUN
cana-3679	51	10	learning	learning	NOUN
cana-3679	51	11	in	in	ADP
cana-3679	51	12	environmental	environmental	ADJ
cana-3679	51	13	monitoring	monitoring	NOUN
cana-3679	51	14	.	.	PUNCT
cana-3679	52	1	the	the	DET
cana-3679	52	2	focus	focus	NOUN
cana-3679	52	3	is	be	AUX
cana-3679	52	4	on	on	ADP
cana-3679	52	5	immediate	immediate	ADJ
cana-3679	52	6	solo	solo	NOUN
cana-3679	52	7	forecasting	forecasting	NOUN
cana-3679	52	8	.	.	PUNCT
cana-3679	53	1	and	and	CCONJ
cana-3679	53	2	provide	provide	VERB
cana-3679	53	3	scalable	scalable	ADJ
cana-3679	53	4	solutions	solution	NOUN
cana-3679	53	5	for	for	ADP
cana-3679	53	6	sustainable	sustainable	ADJ
cana-3679	53	7	agricultural	agricultural	ADJ
cana-3679	53	8	management.[20][21	management.[20][21	NOUN
cana-3679	53	9	]	]	X
cana-3679	53	10	1.1	1.1	NUM
cana-3679	53	11	.	.	PUNCT
cana-3679	54	1	problem	problem	NOUN
cana-3679	54	2	statement	statement	NOUN
cana-3679	54	3	of	of	ADP
cana-3679	54	4	research	research	NOUN
cana-3679	54	5	humidity	humidity	NOUN
cana-3679	54	6	alone	alone	ADV
cana-3679	54	7	is	be	AUX
cana-3679	54	8	an	an	DET
cana-3679	54	9	important	important	ADJ
cana-3679	54	10	parameter	parameter	NOUN
cana-3679	54	11	in	in	ADP
cana-3679	54	12	agriculture	agriculture	NOUN
cana-3679	54	13	,	,	PUNCT
cana-3679	54	14	hydrology	hydrology	NOUN
cana-3679	54	15	,	,	PUNCT
cana-3679	54	16	and	and	CCONJ
cana-3679	54	17	environmental	environmental	ADJ
cana-3679	54	18	science	science	NOUN
cana-3679	54	19	.	.	PUNCT
cana-3679	55	1	which	which	PRON
cana-3679	55	2	affects	affect	VERB
cana-3679	55	3	crop	crop	NOUN
cana-3679	55	4	yields	yield	NOUN
cana-3679	55	5	water	water	NOUN
cana-3679	55	6	resources	resource	NOUN
cana-3679	55	7	management	management	NOUN
cana-3679	55	8	and	and	CCONJ
cana-3679	55	9	ecological	ecological	ADJ
cana-3679	55	10	balance	balance	NOUN
cana-3679	55	11	traditional	traditional	ADJ
cana-3679	55	12	moisture	moisture	NOUN
cana-3679	55	13	measurement	measurement	NOUN
cana-3679	55	14	methods	method	NOUN
cana-3679	55	15	alone	alone	ADV
cana-3679	55	16	,	,	PUNCT
cana-3679	55	17	such	such	ADJ
cana-3679	55	18	as	as	ADP
cana-3679	55	19	ground	ground	NOUN
cana-3679	55	20	sensors	sensor	NOUN
cana-3679	55	21	and	and	CCONJ
cana-3679	55	22	manual	manual	ADJ
cana-3679	55	23	training	training	NOUN
cana-3679	55	24	,	,	PUNCT
cana-3679	55	25	are	be	AUX
cana-3679	55	26	often	often	ADV
cana-3679	55	27	cumbersome	cumbersome	ADJ
cana-3679	55	28	,	,	PUNCT
cana-3679	55	29	delayed	delay	VERB
cana-3679	55	30	,	,	PUNCT
cana-3679	55	31	and	and	CCONJ
cana-3679	55	32	space	space	NOUN
cana-3679	55	33	limited	limit	VERB
cana-3679	55	34	.	.	PUNCT
cana-3679	56	1	embora	embora	PROPN
cana-3679	56	2	satellite	satellite	PROPN
cana-3679	56	3	remote	remote	ADJ
cana-3679	56	4	sensing	sensing	NOUN
cana-3679	56	5	provides	provide	VERB
cana-3679	56	6	wider	wide	ADJ
cana-3679	56	7	spatial	spatial	ADJ
cana-3679	56	8	coverage	coverage	NOUN
cana-3679	56	9	.	.	PUNCT
cana-3679	57	1	this	this	PRON
cana-3679	57	2	is	be	AUX
cana-3679	57	3	because	because	SCONJ
cana-3679	57	4	temporal	temporal	ADJ
cana-3679	57	5	and	and	CCONJ
cana-3679	57	6	spatial	spatial	ADJ
cana-3679	57	7	resolution	resolution	NOUN
cana-3679	57	8	are	be	AUX
cana-3679	57	9	often	often	ADV
cana-3679	57	10	insufficient	insufficient	ADJ
cana-3679	57	11	for	for	ADP
cana-3679	57	12	refined	refined	ADJ
cana-3679	57	13	moisture	moisture	NOUN
cana-3679	57	14	analysis	analysis	NOUN
cana-3679	57	15	alone	alone	ADV
cana-3679	57	16	.	.	PUNCT
cana-3679	58	1	this	this	PRON
cana-3679	58	2	is	be	AUX
cana-3679	58	3	especially	especially	ADV
cana-3679	58	4	true	true	ADJ
cana-3679	58	5	in	in	ADP
cana-3679	58	6	agricultural	agricultural	ADJ
cana-3679	58	7	systems	system	NOUN
cana-3679	58	8	or	or	CCONJ
cana-3679	58	9	dynamic	dynamic	ADJ
cana-3679	58	10	ecosystems	ecosystem	NOUN
cana-3679	58	11	.	.	PUNCT
cana-3679	59	1	recent	recent	ADJ
cana-3679	59	2	advances	advance	NOUN
cana-3679	59	3	in	in	ADP
cana-3679	59	4	deep	deep	ADJ
cana-3679	59	5	learning	learning	NOUN
cana-3679	59	6	have	have	AUX
cana-3679	59	7	shown	show	VERB
cana-3679	59	8	promise	promise	NOUN
cana-3679	59	9	in	in	ADP
cana-3679	59	10	addressing	address	VERB
cana-3679	59	11	these	these	DET
cana-3679	59	12	limitations	limitation	NOUN
cana-3679	59	13	.	.	PUNCT
cana-3679	60	1	using	use	VERB
cana-3679	60	2	high	high	ADJ
cana-3679	60	3	-	-	PUNCT
cana-3679	60	4	dimensional	dimensional	ADJ
cana-3679	60	5	data	datum	NOUN
cana-3679	60	6	such	such	ADJ
cana-3679	60	7	as	as	ADP
cana-3679	60	8	satellite	satellite	NOUN
cana-3679	60	9	images	image	NOUN
cana-3679	60	10	climate	climate	NOUN
cana-3679	60	11	variability	variability	NOUN
cana-3679	60	12	and	and	CCONJ
cana-3679	60	13	in	in	ADP
cana-3679	60	14	situ	situ	ADJ
cana-3679	60	15	measurements	measurement	NOUN
cana-3679	60	16	to	to	PART
cana-3679	60	17	provide	provide	VERB
cana-3679	60	18	only	only	ADV
cana-3679	60	19	accurate	accurate	ADJ
cana-3679	60	20	and	and	CCONJ
cana-3679	60	21	timely	timely	ADJ
cana-3679	60	22	humidity	humidity	NOUN
cana-3679	60	23	communications	communication	NOUN
cana-3679	60	24	on	on	ADP
cana-3679	60	25	applied	apply	VERB
cana-3679	60	26	nonlinear	nonlinear	ADJ
cana-3679	60	27	analysis	analysis	NOUN
cana-3679	60	28	issn	issn	NOUN
cana-3679	60	29	:	:	PUNCT
cana-3679	60	30	1074	1074	NUM
cana-3679	60	31	-	-	PUNCT
cana-3679	60	32	133x	133x	NUM
cana-3679	60	33	vol	vol	NOUN
cana-3679	60	34	32	32	NUM
cana-3679	60	35	no	no	NOUN
cana-3679	60	36	.	.	PUNCT
cana-3679	61	1	8s	8s	PROPN
cana-3679	61	2	(	(	PUNCT
cana-3679	61	3	2025	2025	NUM
cana-3679	61	4	)	)	PUNCT
cana-3679	61	5	331	331	NUM
cana-3679	61	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	61	7	forecasts	forecast	NOUN
cana-3679	61	8	.	.	PUNCT
cana-3679	62	1	meanwhile	meanwhile	ADV
cana-3679	62	2	a	a	DET
cana-3679	62	3	variety	variety	NOUN
cana-3679	62	4	of	of	ADP
cana-3679	62	5	deep	deep	ADJ
cana-3679	62	6	learning	learning	NOUN
cana-3679	62	7	architectures	architecture	NOUN
cana-3679	62	8	,	,	PUNCT
cana-3679	62	9	such	such	ADJ
cana-3679	62	10	as	as	ADP
cana-3679	62	11	convolutional	convolutional	ADJ
cana-3679	62	12	neural	neural	ADJ
cana-3679	62	13	networks	network	NOUN
cana-3679	62	14	(	(	PUNCT
cana-3679	62	15	cnn	cnn	PROPN
cana-3679	62	16	)	)	PUNCT
cana-3679	62	17	,	,	PUNCT
cana-3679	62	18	recurrent	recurrent	ADJ
cana-3679	62	19	neural	neural	ADJ
cana-3679	62	20	networks	network	NOUN
cana-3679	62	21	(	(	PUNCT
cana-3679	62	22	rnn	rnn	PROPN
cana-3679	62	23	)	)	PUNCT
cana-3679	62	24	,	,	PUNCT
cana-3679	62	25	longand	longand	PROPN
cana-3679	62	26	short	short	ADJ
cana-3679	62	27	-	-	PUNCT
cana-3679	62	28	term	term	NOUN
cana-3679	62	29	memory	memory	NOUN
cana-3679	62	30	networks	network	NOUN
cana-3679	62	31	(	(	PUNCT
cana-3679	62	32	lstm	lstm	NOUN
cana-3679	62	33	)	)	PUNCT
cana-3679	62	34	,	,	PUNCT
cana-3679	62	35	and	and	CCONJ
cana-3679	62	36	autopilot	autopilot	NOUN
cana-3679	62	37	.	.	PUNCT
cana-3679	63	1	this	this	PRON
cana-3679	63	2	presents	present	VERB
cana-3679	63	3	a	a	DET
cana-3679	63	4	challenge	challenge	NOUN
cana-3679	63	5	in	in	ADP
cana-3679	63	6	identifying	identify	VERB
cana-3679	63	7	the	the	DET
cana-3679	63	8	most	most	ADV
cana-3679	63	9	effective	effective	ADJ
cana-3679	63	10	approaches	approach	NOUN
cana-3679	63	11	to	to	ADP
cana-3679	63	12	solo	solo	NOUN
cana-3679	63	13	's	's	PART
cana-3679	63	14	humility	humility	NOUN
cana-3679	63	15	,	,	PUNCT
cana-3679	63	16	forecasting	forecasting	NOUN
cana-3679	63	17	,	,	PUNCT
cana-3679	63	18	furthermore	furthermore	ADV
cana-3679	63	19	,	,	PUNCT
cana-3679	63	20	the	the	DET
cana-3679	63	21	performance	performance	NOUN
cana-3679	63	22	of	of	ADP
cana-3679	63	23	these	these	DET
cana-3679	63	24	models	model	NOUN
cana-3679	63	25	is	be	AUX
cana-3679	63	26	influenced	influence	VERB
cana-3679	63	27	by	by	ADP
cana-3679	63	28	,	,	PUNCT
cana-3679	63	29	a	a	DET
cana-3679	63	30	number	number	NOUN
cana-3679	63	31	of	of	ADP
cana-3679	63	32	factors	factor	NOUN
cana-3679	63	33	.	.	PUNCT
cana-3679	64	1	including	include	VERB
cana-3679	64	2	the	the	DET
cana-3679	64	3	quality	quality	NOUN
cana-3679	64	4	of	of	ADP
cana-3679	64	5	two	two	NUM
cana-3679	64	6	input	input	NOUN
cana-3679	64	7	data	datum	NOUN
cana-3679	64	8	.	.	PUNCT
cana-3679	65	1	spatial	spatial	ADJ
cana-3679	65	2	and	and	CCONJ
cana-3679	65	3	temporal	temporal	ADJ
cana-3679	65	4	dependencies	dependency	NOUN
cana-3679	65	5	and	and	CCONJ
cana-3679	65	6	terms	term	NOUN
cana-3679	65	7	of	of	ADP
cana-3679	65	8	interpretation	interpretation	NOUN
cana-3679	65	9	[	[	X
cana-3679	65	10	13],[14	13],[14	NUM
cana-3679	65	11	]	]	X
cana-3679	65	12	1.2	1.2	NUM
cana-3679	65	13	.	.	PUNCT
cana-3679	65	14	objectives	objective	NOUN
cana-3679	65	15	of	of	ADP
cana-3679	65	16	this	this	DET
cana-3679	65	17	research	research	NOUN
cana-3679	65	18	soil	soil	NOUN
cana-3679	65	19	moisture	moisture	NOUN
cana-3679	65	20	plays	play	VERB
cana-3679	65	21	a	a	DET
cana-3679	65	22	crucial	crucial	ADJ
cana-3679	65	23	role	role	NOUN
cana-3679	65	24	in	in	ADP
cana-3679	65	25	agricultural	agricultural	ADJ
cana-3679	65	26	productivity	productivity	NOUN
cana-3679	65	27	,	,	PUNCT
cana-3679	65	28	irrigation	irrigation	NOUN
cana-3679	65	29	management	management	NOUN
cana-3679	65	30	,	,	PUNCT
cana-3679	65	31	and	and	CCONJ
cana-3679	65	32	climate	climate	NOUN
cana-3679	65	33	studies	study	NOUN
cana-3679	65	34	.	.	PUNCT
cana-3679	66	1	accurate	accurate	ADJ
cana-3679	66	2	soil	soil	NOUN
cana-3679	66	3	moisture	moisture	NOUN
cana-3679	66	4	predictions	prediction	NOUN
cana-3679	66	5	are	be	AUX
cana-3679	66	6	vital	vital	ADJ
cana-3679	66	7	for	for	ADP
cana-3679	66	8	optimizing	optimize	VERB
cana-3679	66	9	water	water	NOUN
cana-3679	66	10	use	use	NOUN
cana-3679	66	11	,	,	PUNCT
cana-3679	66	12	improving	improve	VERB
cana-3679	66	13	crop	crop	NOUN
cana-3679	66	14	yield	yield	NOUN
cana-3679	66	15	,	,	PUNCT
cana-3679	66	16	and	and	CCONJ
cana-3679	66	17	managing	manage	VERB
cana-3679	66	18	resources	resource	NOUN
cana-3679	66	19	efficiently	efficiently	ADV
cana-3679	66	20	.	.	PUNCT
cana-3679	67	1	however	however	ADV
cana-3679	67	2	,	,	PUNCT
cana-3679	67	3	challenges	challenge	NOUN
cana-3679	67	4	persist	persist	VERB
cana-3679	67	5	due	due	ADP
cana-3679	67	6	to	to	ADP
cana-3679	67	7	the	the	DET
cana-3679	67	8	availability	availability	NOUN
cana-3679	67	9	of	of	ADP
cana-3679	67	10	highresolution	highresolution	NOUN
cana-3679	67	11	data	datum	NOUN
cana-3679	67	12	,	,	PUNCT
cana-3679	67	13	the	the	DET
cana-3679	67	14	complexity	complexity	NOUN
cana-3679	67	15	of	of	ADP
cana-3679	67	16	diverse	diverse	ADJ
cana-3679	67	17	climatic	climatic	ADJ
cana-3679	67	18	and	and	CCONJ
cana-3679	67	19	soil	soil	NOUN
cana-3679	67	20	conditions	condition	NOUN
cana-3679	67	21	,	,	PUNCT
cana-3679	67	22	and	and	CCONJ
cana-3679	67	23	the	the	DET
cana-3679	67	24	limited	limited	ADJ
cana-3679	67	25	spatiotemporal	spatiotemporal	ADJ
cana-3679	67	26	coverage	coverage	NOUN
cana-3679	67	27	of	of	ADP
cana-3679	67	28	current	current	ADJ
cana-3679	67	29	monitoring	monitoring	NOUN
cana-3679	67	30	methods	method	NOUN
cana-3679	67	31	.	.	PUNCT
cana-3679	68	1	while	while	SCONJ
cana-3679	68	2	traditional	traditional	ADJ
cana-3679	68	3	methods	method	NOUN
cana-3679	68	4	and	and	CCONJ
cana-3679	68	5	simple	simple	ADJ
cana-3679	68	6	models	model	NOUN
cana-3679	68	7	have	have	AUX
cana-3679	68	8	been	be	AUX
cana-3679	68	9	employed	employ	VERB
cana-3679	68	10	,	,	PUNCT
cana-3679	68	11	their	their	PRON
cana-3679	68	12	performance	performance	NOUN
cana-3679	68	13	is	be	AUX
cana-3679	68	14	often	often	ADV
cana-3679	68	15	limited	limit	VERB
cana-3679	68	16	by	by	ADP
cana-3679	68	17	the	the	DET
cana-3679	68	18	inability	inability	NOUN
cana-3679	68	19	to	to	PART
cana-3679	68	20	effectively	effectively	ADV
cana-3679	68	21	handle	handle	VERB
cana-3679	68	22	large	large	ADJ
cana-3679	68	23	datasets	dataset	NOUN
cana-3679	68	24	and	and	CCONJ
cana-3679	68	25	model	model	NOUN
cana-3679	68	26	complex	complex	PROPN
cana-3679	68	27	,	,	PUNCT
cana-3679	68	28	non	non	ADJ
cana-3679	68	29	-	-	ADJ
cana-3679	68	30	linear	linear	ADJ
cana-3679	68	31	relationships	relationship	NOUN
cana-3679	68	32	inherent	inherent	ADJ
cana-3679	68	33	in	in	ADP
cana-3679	68	34	soil	soil	NOUN
cana-3679	68	35	moisture	moisture	NOUN
cana-3679	68	36	variations.[11][12	variations.[11][12	PROPN
cana-3679	68	37	]	]	X
cana-3679	68	38	•	•	ADP
cana-3679	68	39	integrate	integrate	VERB
cana-3679	68	40	and	and	CCONJ
cana-3679	68	41	analyze	analyze	VERB
cana-3679	68	42	relevant	relevant	ADJ
cana-3679	68	43	datasets	dataset	NOUN
cana-3679	68	44	:	:	PUNCT
cana-3679	68	45	gather	gather	VERB
cana-3679	68	46	and	and	CCONJ
cana-3679	68	47	preprocess	preprocess	NOUN
cana-3679	68	48	comprehensive	comprehensive	ADJ
cana-3679	68	49	datasets	dataset	NOUN
cana-3679	68	50	that	that	PRON
cana-3679	68	51	encompass	encompass	VERB
cana-3679	68	52	historical	historical	ADJ
cana-3679	68	53	soil	soil	NOUN
cana-3679	68	54	moisture	moisture	NOUN
cana-3679	68	55	measurements	measurement	NOUN
cana-3679	68	56	,	,	PUNCT
cana-3679	68	57	weather	weather	NOUN
cana-3679	68	58	data	datum	NOUN
cana-3679	68	59	,	,	PUNCT
cana-3679	68	60	soil	soil	NOUN
cana-3679	68	61	characteristics	characteristic	NOUN
cana-3679	68	62	,	,	PUNCT
cana-3679	68	63	and	and	CCONJ
cana-3679	68	64	crop	crop	NOUN
cana-3679	68	65	-	-	PUNCT
cana-3679	68	66	specific	specific	ADJ
cana-3679	68	67	information	information	NOUN
cana-3679	68	68	.	.	PUNCT
cana-3679	69	1	integrate	integrate	VERB
cana-3679	69	2	these	these	DET
cana-3679	69	3	datasets	dataset	NOUN
cana-3679	69	4	to	to	PART
cana-3679	69	5	create	create	VERB
cana-3679	69	6	a	a	DET
cana-3679	69	7	unified	unified	ADJ
cana-3679	69	8	data	data	NOUN
cana-3679	69	9	repository	repository	NOUN
cana-3679	69	10	suitable	suitable	ADJ
cana-3679	69	11	for	for	ADP
cana-3679	69	12	training	training	NOUN
cana-3679	69	13	and	and	CCONJ
cana-3679	69	14	evaluating	evaluate	VERB
cana-3679	69	15	the	the	DET
cana-3679	69	16	deep	deep	ADJ
cana-3679	69	17	learning	learning	NOUN
cana-3679	69	18	model	model	NOUN
cana-3679	69	19	.	.	PUNCT
cana-3679	70	1	•	•	NUM
cana-3679	70	2	optimise	optimise	VERB
cana-3679	70	3	the	the	DET
cana-3679	70	4	hyperparameters	hyperparameter	NOUN
cana-3679	70	5	and	and	CCONJ
cana-3679	70	6	model	model	NOUN
cana-3679	70	7	architecture	architecture	NOUN
cana-3679	70	8	.	.	PUNCT
cana-3679	71	1	:	:	PUNCT
cana-3679	71	2	investigate	investigate	VERB
cana-3679	71	3	different	different	ADJ
cana-3679	71	4	deep	deep	ADJ
cana-3679	71	5	learning	learning	NOUN
cana-3679	71	6	architectures	architecture	NOUN
cana-3679	71	7	,	,	PUNCT
cana-3679	71	8	such	such	ADJ
cana-3679	71	9	as	as	ADP
cana-3679	71	10	convolutional	convolutional	ADJ
cana-3679	71	11	neural	neural	ADJ
cana-3679	71	12	networks	network	NOUN
cana-3679	71	13	(	(	PUNCT
cana-3679	71	14	cnns	cnns	PROPN
cana-3679	71	15	)	)	PUNCT
cana-3679	71	16	,	,	PUNCT
cana-3679	71	17	recurrent	recurrent	ADJ
cana-3679	71	18	neural	neural	ADJ
cana-3679	71	19	networks	network	NOUN
cana-3679	71	20	(	(	PUNCT
cana-3679	71	21	rnns	rnns	PROPN
cana-3679	71	22	)	)	PUNCT
cana-3679	71	23	,	,	PUNCT
cana-3679	71	24	or	or	CCONJ
cana-3679	71	25	their	their	PRON
cana-3679	71	26	combinations	combination	NOUN
cana-3679	71	27	,	,	PUNCT
cana-3679	71	28	to	to	PART
cana-3679	71	29	identify	identify	VERB
cana-3679	71	30	the	the	DET
cana-3679	71	31	most	most	ADV
cana-3679	71	32	suitable	suitable	ADJ
cana-3679	71	33	model	model	NOUN
cana-3679	71	34	architecture	architecture	NOUN
cana-3679	71	35	for	for	ADP
cana-3679	71	36	soil	soil	NOUN
cana-3679	71	37	moisture	moisture	NOUN
cana-3679	71	38	prediction	prediction	NOUN
cana-3679	71	39	.	.	PUNCT
cana-3679	72	1	fine	fine	ADJ
cana-3679	72	2	-	-	PUNCT
cana-3679	72	3	tune	tune	NOUN
cana-3679	72	4	the	the	DET
cana-3679	72	5	model	model	NOUN
cana-3679	72	6	by	by	ADP
cana-3679	72	7	optimizing	optimize	VERB
cana-3679	72	8	hyperparameters	hyperparameter	NOUN
cana-3679	72	9	,	,	PUNCT
cana-3679	72	10	including	include	VERB
cana-3679	72	11	the	the	DET
cana-3679	72	12	number	number	NOUN
cana-3679	72	13	of	of	ADP
cana-3679	72	14	layers	layer	NOUN
cana-3679	72	15	,	,	PUNCT
cana-3679	72	16	activation	activation	NOUN
cana-3679	72	17	functions	function	NOUN
cana-3679	72	18	,	,	PUNCT
cana-3679	72	19	learning	learn	VERB
cana-3679	72	20	rate	rate	NOUN
cana-3679	72	21	,	,	PUNCT
cana-3679	72	22	batch	batch	NOUN
cana-3679	72	23	size	size	NOUN
cana-3679	72	24	,	,	PUNCT
cana-3679	72	25	and	and	CCONJ
cana-3679	72	26	regularization	regularization	NOUN
cana-3679	72	27	techniques	technique	NOUN
cana-3679	72	28	,	,	PUNCT
cana-3679	73	1	to	to	PART
cana-3679	73	2	enhance	enhance	VERB
cana-3679	73	3	the	the	DET
cana-3679	73	4	model	model	NOUN
cana-3679	73	5	's	's	PART
cana-3679	73	6	predictive	predictive	ADJ
cana-3679	73	7	capabilities	capability	NOUN
cana-3679	73	8	.	.	PUNCT
cana-3679	74	1	•	•	NUM
cana-3679	74	2	evaluate	evaluate	VERB
cana-3679	74	3	model	model	NOUN
cana-3679	74	4	performance	performance	NOUN
cana-3679	74	5	and	and	CCONJ
cana-3679	74	6	accuracy	accuracy	NOUN
cana-3679	74	7	:	:	PUNCT
cana-3679	74	8	by	by	ADP
cana-3679	74	9	contrasting	contrast	VERB
cana-3679	74	10	the	the	DET
cana-3679	74	11	model	model	NOUN
cana-3679	74	12	's	's	PART
cana-3679	74	13	predictions	prediction	NOUN
cana-3679	74	14	with	with	ADP
cana-3679	74	15	actual	actual	ADJ
cana-3679	74	16	soil	soil	NOUN
cana-3679	74	17	moisture	moisture	NOUN
cana-3679	74	18	measurements	measurement	NOUN
cana-3679	74	19	,	,	PUNCT
cana-3679	74	20	one	one	PRON
cana-3679	74	21	can	can	AUX
cana-3679	74	22	evaluate	evaluate	VERB
cana-3679	74	23	the	the	DET
cana-3679	74	24	developed	develop	VERB
cana-3679	74	25	soil	soil	NOUN
cana-3679	74	26	moisture	moisture	NOUN
cana-3679	74	27	prediction	prediction	NOUN
cana-3679	74	28	model	model	NOUN
cana-3679	74	29	's	's	PART
cana-3679	74	30	performance	performance	NOUN
cana-3679	74	31	.	.	PUNCT
cana-3679	75	1	to	to	PART
cana-3679	75	2	measure	measure	VERB
cana-3679	75	3	the	the	DET
cana-3679	75	4	accuracy	accuracy	NOUN
cana-3679	75	5	and	and	CCONJ
cana-3679	75	6	dependability	dependability	NOUN
cana-3679	75	7	of	of	ADP
cana-3679	75	8	the	the	DET
cana-3679	75	9	model	model	NOUN
cana-3679	75	10	,	,	PUNCT
cana-3679	75	11	use	use	VERB
cana-3679	75	12	suitable	suitable	ADJ
cana-3679	75	13	evaluation	evaluation	NOUN
cana-3679	75	14	metrics	metric	NOUN
cana-3679	75	15	like	like	AUX
cana-3679	75	16	mean	mean	VERB
cana-3679	75	17	squared	square	VERB
cana-3679	75	18	error	error	NOUN
cana-3679	75	19	(	(	PUNCT
cana-3679	75	20	mse	mse	NOUN
cana-3679	75	21	)	)	PUNCT
cana-3679	75	22	,	,	PUNCT
cana-3679	75	23	root	root	NOUN
cana-3679	75	24	mean	mean	VERB
cana-3679	75	25	squared	square	VERB
cana-3679	75	26	error	error	NOUN
cana-3679	75	27	(	(	PUNCT
cana-3679	75	28	rmse	rmse	NOUN
cana-3679	75	29	)	)	PUNCT
cana-3679	75	30	,	,	PUNCT
cana-3679	75	31	and	and	CCONJ
cana-3679	75	32	r	r	X
cana-3679	75	33	-	-	PUNCT
cana-3679	75	34	squared	square	VERB
cana-3679	75	35	.	.	PUNCT
cana-3679	76	1	•	•	NUM
cana-3679	76	2	assessing	assess	VERB
cana-3679	76	3	the	the	DET
cana-3679	76	4	impact	impact	NOUN
cana-3679	76	5	on	on	ADP
cana-3679	76	6	crop	crop	NOUN
cana-3679	76	7	yields	yield	NOUN
cana-3679	76	8	:	:	PUNCT
cana-3679	76	9	analysis	analysis	NOUN
cana-3679	76	10	of	of	ADP
cana-3679	76	11	the	the	DET
cana-3679	76	12	practical	practical	ADJ
cana-3679	76	13	implications	implication	NOUN
cana-3679	76	14	and	and	CCONJ
cana-3679	76	15	utility	utility	NOUN
cana-3679	76	16	of	of	ADP
cana-3679	76	17	a	a	DET
cana-3679	76	18	single	single	ADJ
cana-3679	76	19	moisture	moisture	NOUN
cana-3679	76	20	forecast	forecast	NOUN
cana-3679	76	21	model	model	NOUN
cana-3679	76	22	developed	develop	VERB
cana-3679	76	23	in	in	ADP
cana-3679	76	24	agricultural	agricultural	ADJ
cana-3679	76	25	production	production	NOUN
cana-3679	76	26	.	.	PUNCT
cana-3679	77	1	to	to	PART
cana-3679	77	2	evaluate	evaluate	VERB
cana-3679	77	3	the	the	DET
cana-3679	77	4	effectiveness	effectiveness	NOUN
cana-3679	77	5	of	of	ADP
cana-3679	77	6	the	the	DET
cana-3679	77	7	model	model	NOUN
cana-3679	77	8	in	in	ADP
cana-3679	77	9	optimizing	optimize	VERB
cana-3679	77	10	irrigation	irrigation	NOUN
cana-3679	77	11	schedules	schedule	NOUN
cana-3679	77	12	.	.	PUNCT
cana-3679	78	1	improving	improve	VERB
cana-3679	78	2	water	water	NOUN
cana-3679	78	3	management	management	NOUN
cana-3679	78	4	practices	practice	NOUN
cana-3679	78	5	and	and	CCONJ
cana-3679	78	6	in	in	ADP
cana-3679	78	7	increasing	increase	VERB
cana-3679	78	8	the	the	DET
cana-3679	78	9	yield	yield	NOUN
cana-3679	78	10	and	and	CCONJ
cana-3679	78	11	quality	quality	NOUN
cana-3679	78	12	of	of	ADP
cana-3679	78	13	crops	crop	NOUN
cana-3679	78	14	to	to	PART
cana-3679	78	15	demonstrate	demonstrate	VERB
cana-3679	78	16	the	the	DET
cana-3679	78	17	benefits	benefit	NOUN
cana-3679	78	18	of	of	ADP
cana-3679	78	19	deep	deep	ADJ
cana-3679	78	20	learning	learning	NOUN
cana-3679	78	21	strategies	strategy	NOUN
cana-3679	78	22	.	.	PUNCT
cana-3679	79	1	compare	compare	VERB
cana-3679	79	2	the	the	DET
cana-3679	79	3	results	result	NOUN
cana-3679	79	4	with	with	ADP
cana-3679	79	5	traditional	traditional	ADJ
cana-3679	79	6	irrigation	irrigation	NOUN
cana-3679	79	7	scheduling	scheduling	NOUN
cana-3679	79	8	techniques	technique	NOUN
cana-3679	79	9	.	.	PUNCT
cana-3679	80	1	•	•	NUM
cana-3679	80	2	provide	provide	VERB
cana-3679	80	3	recommendations	recommendation	NOUN
cana-3679	80	4	and	and	CCONJ
cana-3679	80	5	guidelines	guideline	NOUN
cana-3679	80	6	:	:	PUNCT
cana-3679	80	7	based	base	VERB
cana-3679	80	8	on	on	ADP
cana-3679	80	9	research	research	NOUN
cana-3679	80	10	findings	finding	NOUN
cana-3679	80	11	.	.	PUNCT
cana-3679	81	1	provide	provide	VERB
cana-3679	81	2	advice	advice	NOUN
cana-3679	81	3	and	and	CCONJ
cana-3679	81	4	guidelines	guideline	NOUN
cana-3679	81	5	for	for	ADP
cana-3679	81	6	farmers	farmer	NOUN
cana-3679	81	7	and	and	CCONJ
cana-3679	81	8	stakeholders	stakeholder	NOUN
cana-3679	81	9	in	in	ADP
cana-3679	81	10	the	the	DET
cana-3679	81	11	agricultural	agricultural	ADJ
cana-3679	81	12	sector	sector	NOUN
cana-3679	81	13	.	.	PUNCT
cana-3679	82	1	describe	describe	VERB
cana-3679	82	2	best	good	ADJ
cana-3679	82	3	practices	practice	NOUN
cana-3679	82	4	for	for	ADP
cana-3679	82	5	applying	apply	VERB
cana-3679	82	6	developed	develop	VERB
cana-3679	82	7	soil	soil	NOUN
cana-3679	82	8	prediction	prediction	NOUN
cana-3679	82	9	models	model	NOUN
cana-3679	82	10	to	to	PART
cana-3679	82	11	optimize	optimize	VERB
cana-3679	82	12	agricultural	agricultural	ADJ
cana-3679	82	13	production	production	NOUN
cana-3679	82	14	.	.	PUNCT
cana-3679	83	1	conserve	conserve	VERB
cana-3679	83	2	water	water	NOUN
cana-3679	83	3	resources	resource	NOUN
cana-3679	83	4	and	and	CCONJ
cana-3679	83	5	improve	improve	VERB
cana-3679	83	6	overall	overall	ADJ
cana-3679	83	7	agricultural	agricultural	ADJ
cana-3679	83	8	sustainability	sustainability	NOUN
cana-3679	83	9	.	.	PUNCT
cana-3679	84	1	•	•	NUM
cana-3679	84	2	scope	scope	NOUN
cana-3679	84	3	and	and	CCONJ
cana-3679	84	4	limitations	limitation	NOUN
cana-3679	84	5	of	of	ADP
cana-3679	84	6	the	the	DET
cana-3679	84	7	study	study	NOUN
cana-3679	84	8	:	:	PUNCT
cana-3679	84	9	the	the	DET
cana-3679	84	10	aim	aim	NOUN
cana-3679	84	11	of	of	ADP
cana-3679	84	12	the	the	DET
cana-3679	84	13	project	project	NOUN
cana-3679	84	14	is	be	AUX
cana-3679	84	15	to	to	PART
cana-3679	84	16	create	create	VERB
cana-3679	84	17	a	a	DET
cana-3679	84	18	deep	deep	ADJ
cana-3679	84	19	learning	learning	NOUN
cana-3679	84	20	model	model	NOUN
cana-3679	84	21	that	that	PRON
cana-3679	84	22	can	can	AUX
cana-3679	84	23	predict	predict	VERB
cana-3679	84	24	a	a	DET
cana-3679	84	25	single	single	ADJ
cana-3679	84	26	amount	amount	NOUN
cana-3679	84	27	of	of	ADP
cana-3679	84	28	accuracy	accuracy	NOUN
cana-3679	84	29	in	in	ADP
cana-3679	84	30	a	a	DET
cana-3679	84	31	given	give	VERB
cana-3679	84	32	area	area	NOUN
cana-3679	84	33	.	.	PUNCT
cana-3679	85	1	the	the	DET
cana-3679	85	2	study	study	NOUN
cana-3679	85	3	uses	use	VERB
cana-3679	85	4	only	only	ADV
cana-3679	85	5	a	a	DET
cana-3679	85	6	limited	limited	ADJ
cana-3679	85	7	amount	amount	NOUN
cana-3679	85	8	of	of	ADP
cana-3679	85	9	urgent	urgent	ADJ
cana-3679	85	10	historical	historical	ADJ
cana-3679	85	11	data	datum	NOUN
cana-3679	85	12	.	.	PUNCT
cana-3679	86	1	the	the	DET
cana-3679	86	2	study	study	NOUN
cana-3679	86	3	uses	use	VERB
cana-3679	86	4	a	a	DET
cana-3679	86	5	specific	specific	ADJ
cana-3679	86	6	deep	deep	ADJ
cana-3679	86	7	learning	learning	NOUN
cana-3679	86	8	algorithm	algorithm	NOUN
cana-3679	86	9	.	.	PUNCT
cana-3679	87	1	2	2	X
cana-3679	87	2	.	.	X
cana-3679	87	3	literature	literature	NOUN
cana-3679	87	4	review	review	VERB
cana-3679	87	5	the	the	DET
cana-3679	87	6	reviewed	review	VERB
cana-3679	87	7	literature	literature	NOUN
cana-3679	87	8	from	from	ADP
cana-3679	87	9	last	last	ADJ
cana-3679	87	10	three	three	NUM
cana-3679	87	11	years	year	NOUN
cana-3679	87	12	highlights	highlight	NOUN
cana-3679	87	13	significant	significant	ADJ
cana-3679	87	14	advancements	advancement	NOUN
cana-3679	87	15	in	in	ADP
cana-3679	87	16	the	the	DET
cana-3679	87	17	use	use	NOUN
cana-3679	87	18	of	of	ADP
cana-3679	87	19	machine	machine	NOUN
cana-3679	87	20	learning	learning	NOUN
cana-3679	87	21	and	and	CCONJ
cana-3679	87	22	deep	deep	ADJ
cana-3679	87	23	learning	learning	NOUN
cana-3679	87	24	techniques	technique	NOUN
cana-3679	87	25	for	for	ADP
cana-3679	87	26	improving	improve	VERB
cana-3679	87	27	soil	soil	NOUN
cana-3679	87	28	moisture	moisture	NOUN
cana-3679	87	29	prediction	prediction	NOUN
cana-3679	87	30	,	,	PUNCT
cana-3679	87	31	estimation	estimation	NOUN
cana-3679	87	32	,	,	PUNCT
cana-3679	87	33	and	and	CCONJ
cana-3679	87	34	mapping	mapping	NOUN
cana-3679	87	35	.	.	PUNCT
cana-3679	88	1	[	[	X
cana-3679	88	2	10],[16],[26	10],[16],[26	NUM
cana-3679	88	3	]	]	SYM
cana-3679	88	4	.	.	PUNCT
cana-3679	89	1	communications	communication	NOUN
cana-3679	89	2	on	on	ADP
cana-3679	89	3	applied	apply	VERB
cana-3679	89	4	nonlinear	nonlinear	ADJ
cana-3679	89	5	analysis	analysis	NOUN
cana-3679	89	6	issn	issn	NOUN
cana-3679	89	7	:	:	PUNCT
cana-3679	89	8	1074	1074	NUM
cana-3679	89	9	-	-	PUNCT
cana-3679	89	10	133x	133x	NUM
cana-3679	89	11	vol	vol	NOUN
cana-3679	89	12	32	32	NUM
cana-3679	89	13	no	no	NOUN
cana-3679	89	14	.	.	PUNCT
cana-3679	90	1	8s	8s	PROPN
cana-3679	90	2	(	(	PUNCT
cana-3679	90	3	2025	2025	NUM
cana-3679	90	4	)	)	PUNCT
cana-3679	90	5	332	332	NUM
cana-3679	90	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	90	7	hegazi	hegazi	NOUN
cana-3679	90	8	and	and	CCONJ
cana-3679	90	9	colleagues	colleague	NOUN
cana-3679	90	10	(	(	PUNCT
cana-3679	90	11	2023	2023	NUM
cana-3679	90	12	)	)	PUNCT
cana-3679	90	13	developed	develop	VERB
cana-3679	90	14	a	a	DET
cana-3679	90	15	moisture	moisture	NOUN
cana-3679	90	16	theory	theory	NOUN
cana-3679	90	17	prediction	prediction	NOUN
cana-3679	90	18	framework	framework	NOUN
cana-3679	90	19	using	use	VERB
cana-3679	90	20	only	only	ADV
cana-3679	90	21	sentinel2	sentinel2	NOUN
cana-3679	90	22	satellite	satellite	NOUN
cana-3679	90	23	imagery	imagery	NOUN
cana-3679	90	24	and	and	CCONJ
cana-3679	90	25	convolutional	convolutional	ADJ
cana-3679	90	26	neural	neural	ADJ
cana-3679	90	27	network	network	NOUN
cana-3679	90	28	(	(	PUNCT
cana-3679	90	29	cnn	cnn	PROPN
cana-3679	90	30	)	)	PUNCT
cana-3679	90	31	methods	method	NOUN
cana-3679	90	32	.	.	PUNCT
cana-3679	91	1	his	his	PRON
cana-3679	91	2	work	work	NOUN
cana-3679	91	3	highlights	highlight	VERB
cana-3679	91	4	the	the	DET
cana-3679	91	5	ability	ability	NOUN
cana-3679	91	6	of	of	ADP
cana-3679	91	7	cnn	cnn	PROPN
cana-3679	91	8	to	to	PART
cana-3679	91	9	extract	extract	VERB
cana-3679	91	10	spatial	spatial	ADJ
cana-3679	91	11	features	feature	NOUN
cana-3679	91	12	.	.	PUNCT
cana-3679	92	1	the	the	DET
cana-3679	92	2	area	area	NOUN
cana-3679	92	3	is	be	AUX
cana-3679	92	4	accurately	accurately	ADV
cana-3679	92	5	captured	capture	VERB
cana-3679	92	6	from	from	ADP
cana-3679	92	7	high	high	ADJ
cana-3679	92	8	-	-	PUNCT
cana-3679	92	9	resolution	resolution	NOUN
cana-3679	92	10	satellite	satellite	NOUN
cana-3679	92	11	images	image	NOUN
cana-3679	92	12	.	.	PUNCT
cana-3679	93	1	this	this	PRON
cana-3679	93	2	helps	help	VERB
cana-3679	93	3	improve	improve	VERB
cana-3679	93	4	soil	soil	NOUN
cana-3679	93	5	moisture	moisture	NOUN
cana-3679	93	6	estimation	estimation	NOUN
cana-3679	93	7	for	for	ADP
cana-3679	93	8	agricultural	agricultural	ADJ
cana-3679	93	9	applications	application	NOUN
cana-3679	93	10	.	.	PUNCT
cana-3679	94	1	this	this	DET
cana-3679	94	2	study	study	NOUN
cana-3679	94	3	shows	show	VERB
cana-3679	94	4	promising	promise	VERB
cana-3679	94	5	results	result	NOUN
cana-3679	94	6	.	.	PUNCT
cana-3679	95	1	most	most	ADJ
cana-3679	95	2	of	of	ADP
cana-3679	95	3	them	they	PRON
cana-3679	95	4	are	be	AUX
cana-3679	95	5	in	in	ADP
cana-3679	95	6	different	different	ADJ
cana-3679	95	7	terrains	terrain	NOUN
cana-3679	95	8	.	.	PUNCT
cana-3679	96	1	it	it	PRON
cana-3679	96	2	emphasizes	emphasize	VERB
cana-3679	96	3	the	the	DET
cana-3679	96	4	effectiveness	effectiveness	NOUN
cana-3679	96	5	of	of	ADP
cana-3679	96	6	cnn	cnn	PROPN
cana-3679	96	7	in	in	ADP
cana-3679	96	8	feature	feature	NOUN
cana-3679	96	9	extraction	extraction	NOUN
cana-3679	96	10	and	and	CCONJ
cana-3679	96	11	data	datum	NOUN
cana-3679	96	12	interpretation	interpretation	NOUN
cana-3679	96	13	for	for	ADP
cana-3679	96	14	agricultural	agricultural	ADJ
cana-3679	96	15	purposes	purpose	NOUN
cana-3679	96	16	[	[	X
cana-3679	96	17	1	1	NUM
cana-3679	96	18	]	]	PUNCT
cana-3679	96	19	.	.	PUNCT
cana-3679	97	1	according	accord	VERB
cana-3679	97	2	to	to	ADP
cana-3679	97	3	huang	huang	PROPN
cana-3679	97	4	et	et	PROPN
cana-3679	97	5	al	al	PROPN
cana-3679	97	6	.	.	PROPN
cana-3679	97	7	,	,	PUNCT
cana-3679	97	8	(	(	PUNCT
cana-3679	97	9	2023	2023	NUM
cana-3679	97	10	)	)	PUNCT
cana-3679	97	11	presented	present	VERB
cana-3679	97	12	the	the	DET
cana-3679	97	13	only	only	ADJ
cana-3679	97	14	spatio	spatio	ADJ
cana-3679	97	15	-	-	PUNCT
cana-3679	97	16	temporal	temporal	ADJ
cana-3679	97	17	moisture	moisture	NOUN
cana-3679	97	18	forecasting	forecasting	NOUN
cana-3679	97	19	model	model	NOUN
cana-3679	97	20	using	use	VERB
cana-3679	97	21	convolutional	convolutional	ADJ
cana-3679	97	22	long	long	ADJ
cana-3679	97	23	-	-	PUNCT
cana-3679	97	24	term	term	NOUN
cana-3679	97	25	memory	memory	NOUN
cana-3679	97	26	network	network	NOUN
cana-3679	97	27	(	(	PUNCT
cana-3679	97	28	conv	conv	NOUN
cana-3679	97	29	-	-	PUNCT
cana-3679	97	30	lstm	lstm	NOUN
cana-3679	97	31	)	)	PUNCT
cana-3679	97	32	.	.	PUNCT
cana-3679	98	1	this	this	DET
cana-3679	98	2	model	model	NOUN
cana-3679	98	3	combines	combine	VERB
cana-3679	98	4	the	the	DET
cana-3679	98	5	spatial	spatial	ADJ
cana-3679	98	6	dependence	dependence	NOUN
cana-3679	98	7	and	and	CCONJ
cana-3679	98	8	temporal	temporal	ADJ
cana-3679	98	9	analysis	analysis	NOUN
cana-3679	98	10	of	of	ADP
cana-3679	98	11	only	only	ADV
cana-3679	98	12	two	two	NUM
cana-3679	98	13	humidity	humidity	NOUN
cana-3679	98	14	data	datum	NOUN
cana-3679	98	15	in	in	ADP
cana-3679	98	16	different	different	ADJ
cana-3679	98	17	climate	climate	NOUN
cana-3679	98	18	regions	region	NOUN
cana-3679	98	19	of	of	ADP
cana-3679	98	20	china	china	PROPN
cana-3679	98	21	.	.	PUNCT
cana-3679	99	1	interpretability	interpretability	NOUN
cana-3679	99	2	analysis	analysis	NOUN
cana-3679	99	3	reveals	reveal	VERB
cana-3679	99	4	the	the	DET
cana-3679	99	5	internal	internal	ADJ
cana-3679	99	6	mechanism	mechanism	NOUN
cana-3679	99	7	of	of	ADP
cana-3679	99	8	the	the	DET
cana-3679	99	9	network	network	NOUN
cana-3679	99	10	.	.	PUNCT
cana-3679	100	1	this	this	PRON
cana-3679	100	2	provides	provide	VERB
cana-3679	100	3	insights	insight	NOUN
cana-3679	100	4	into	into	ADP
cana-3679	100	5	the	the	DET
cana-3679	100	6	resource	resource	NOUN
cana-3679	100	7	contributions	contribution	NOUN
cana-3679	100	8	and	and	CCONJ
cana-3679	100	9	spatial	spatial	ADJ
cana-3679	100	10	and	and	CCONJ
cana-3679	100	11	temporal	temporal	ADJ
cana-3679	100	12	dynamics	dynamic	NOUN
cana-3679	100	13	of	of	ADP
cana-3679	100	14	each	each	DET
cana-3679	100	15	moisture	moisture	NOUN
cana-3679	100	16	content	content	NOUN
cana-3679	100	17	.	.	PUNCT
cana-3679	101	1	her	her	PRON
cana-3679	101	2	findings	finding	NOUN
cana-3679	101	3	highlight	highlight	VERB
cana-3679	101	4	the	the	DET
cana-3679	101	5	importance	importance	NOUN
cana-3679	101	6	of	of	ADP
cana-3679	101	7	integrating	integrate	VERB
cana-3679	101	8	deep	deep	ADJ
cana-3679	101	9	learning	learning	NOUN
cana-3679	101	10	into	into	ADP
cana-3679	101	11	interpretive	interpretive	ADJ
cana-3679	101	12	models	model	NOUN
cana-3679	101	13	for	for	ADP
cana-3679	101	14	environmental	environmental	ADJ
cana-3679	101	15	forecasting	forecasting	NOUN
cana-3679	101	16	.	.	PUNCT
cana-3679	102	1	[	[	X
cana-3679	102	2	2	2	NUM
cana-3679	102	3	]	]	X
cana-3679	102	4	park	park	NOUN
cana-3679	102	5	and	and	CCONJ
cana-3679	102	6	others	other	NOUN
cana-3679	102	7	.	.	PUNCT
cana-3679	103	1	(	(	PUNCT
cana-3679	103	2	2023	2023	NUM
cana-3679	103	3	)	)	PUNCT
cana-3679	103	4	proposed	propose	VERB
cana-3679	103	5	a	a	DET
cana-3679	103	6	specially	specially	ADV
cana-3679	103	7	tailored	tailor	VERB
cana-3679	103	8	soil	soil	NOUN
cana-3679	103	9	moisture	moisture	NOUN
cana-3679	103	10	forecasting	forecasting	NOUN
cana-3679	103	11	model	model	NOUN
cana-3679	103	12	for	for	ADP
cana-3679	103	13	soybean	soybean	NOUN
cana-3679	103	14	cultivation	cultivation	NOUN
cana-3679	103	15	using	use	VERB
cana-3679	103	16	long	long	ADJ
cana-3679	103	17	-	-	PUNCT
cana-3679	103	18	term	term	NOUN
cana-3679	103	19	and	and	CCONJ
cana-3679	103	20	short	short	ADJ
cana-3679	103	21	-	-	PUNCT
cana-3679	103	22	term	term	NOUN
cana-3679	103	23	memory	memory	NOUN
cana-3679	103	24	recurrent	recurrent	NOUN
cana-3679	103	25	neural	neural	ADJ
cana-3679	103	26	network	network	NOUN
cana-3679	103	27	(	(	PUNCT
cana-3679	103	28	rnn	rnn	NOUN
cana-3679	103	29	-	-	PUNCT
cana-3679	103	30	lstm	lstm	NOUN
cana-3679	103	31	)	)	PUNCT
cana-3679	103	32	.	.	PUNCT
cana-3679	104	1	emphasis	emphasis	NOUN
cana-3679	104	2	is	be	AUX
cana-3679	104	3	placed	place	VERB
cana-3679	104	4	on	on	ADP
cana-3679	104	5	capturing	capture	VERB
cana-3679	104	6	temporal	temporal	ADJ
cana-3679	104	7	variations	variation	NOUN
cana-3679	104	8	in	in	ADP
cana-3679	104	9	soil	soil	NOUN
cana-3679	104	10	moisture	moisture	NOUN
cana-3679	104	11	as	as	SCONJ
cana-3679	104	12	affected	affect	VERB
cana-3679	104	13	by	by	ADP
cana-3679	104	14	agricultural	agricultural	ADJ
cana-3679	104	15	practices	practice	NOUN
cana-3679	104	16	.	.	PUNCT
cana-3679	105	1	the	the	DET
cana-3679	105	2	model	model	NOUN
cana-3679	105	3	achieves	achieve	VERB
cana-3679	105	4	high	high	ADJ
cana-3679	105	5	accuracy	accuracy	NOUN
cana-3679	105	6	and	and	CCONJ
cana-3679	105	7	reliability	reliability	NOUN
cana-3679	105	8	by	by	ADP
cana-3679	105	9	addressing	address	VERB
cana-3679	105	10	crop	crop	NOUN
cana-3679	105	11	-	-	PUNCT
cana-3679	105	12	specific	specific	ADJ
cana-3679	105	13	water	water	NOUN
cana-3679	105	14	management	management	NOUN
cana-3679	105	15	challenges	challenge	NOUN
cana-3679	105	16	.	.	PUNCT
cana-3679	106	1	and	and	CCONJ
cana-3679	106	2	has	have	AUX
cana-3679	106	3	proven	prove	VERB
cana-3679	106	4	valuable	valuable	ADJ
cana-3679	106	5	for	for	ADP
cana-3679	106	6	precision	precision	NOUN
cana-3679	106	7	agriculture	agriculture	NOUN
cana-3679	107	1	[	[	X
cana-3679	107	2	3	3	NUM
cana-3679	107	3	]	]	SYM
cana-3679	107	4	9	9	NUM
cana-3679	107	5	.	.	X
cana-3679	107	6	singh	singh	PROPN
cana-3679	107	7	and	and	CCONJ
cana-3679	107	8	gaurav	gaurav	PROPN
cana-3679	107	9	(	(	PUNCT
cana-3679	107	10	2023	2023	NUM
cana-3679	107	11	)	)	PUNCT
cana-3679	107	12	used	use	VERB
cana-3679	107	13	deep	deep	ADJ
cana-3679	107	14	learning	learning	NOUN
cana-3679	107	15	and	and	CCONJ
cana-3679	107	16	data	datum	NOUN
cana-3679	107	17	fusion	fusion	NOUN
cana-3679	107	18	techniques	technique	NOUN
cana-3679	107	19	to	to	PART
cana-3679	107	20	estimate	estimate	VERB
cana-3679	107	21	surface	surface	NOUN
cana-3679	107	22	soil	soil	NOUN
cana-3679	107	23	moisture	moisture	NOUN
cana-3679	107	24	from	from	ADP
cana-3679	107	25	multi	multi	ADJ
cana-3679	107	26	-	-	ADJ
cana-3679	107	27	sensor	sensor	ADJ
cana-3679	107	28	satellite	satellite	NOUN
cana-3679	107	29	images	image	NOUN
cana-3679	107	30	.	.	PUNCT
cana-3679	108	1	this	this	DET
cana-3679	108	2	study	study	NOUN
cana-3679	108	3	demonstrates	demonstrate	VERB
cana-3679	108	4	the	the	DET
cana-3679	108	5	integration	integration	NOUN
cana-3679	108	6	of	of	ADP
cana-3679	108	7	different	different	ADJ
cana-3679	108	8	datasets	dataset	NOUN
cana-3679	108	9	such	such	ADJ
cana-3679	108	10	as	as	ADP
cana-3679	108	11	remote	remote	ADJ
cana-3679	108	12	sensing	sensing	NOUN
cana-3679	108	13	images	image	NOUN
cana-3679	108	14	and	and	CCONJ
cana-3679	108	15	in	in	ADP
cana-3679	108	16	situ	situ	ADJ
cana-3679	108	17	measurements	measurement	NOUN
cana-3679	108	18	.	.	PUNCT
cana-3679	109	1	to	to	PART
cana-3679	109	2	increase	increase	VERB
cana-3679	109	3	the	the	DET
cana-3679	109	4	accuracy	accuracy	NOUN
cana-3679	109	5	of	of	ADP
cana-3679	109	6	predictions	prediction	NOUN
cana-3679	109	7	this	this	DET
cana-3679	109	8	research	research	NOUN
cana-3679	109	9	highlights	highlight	VERB
cana-3679	109	10	the	the	DET
cana-3679	109	11	potential	potential	NOUN
cana-3679	109	12	of	of	ADP
cana-3679	109	13	data	datum	NOUN
cana-3679	109	14	fusion	fusion	NOUN
cana-3679	109	15	with	with	ADP
cana-3679	109	16	advanced	advanced	ADJ
cana-3679	109	17	machine	machine	NOUN
cana-3679	109	18	learning	learn	VERB
cana-3679	109	19	algorithms	algorithm	NOUN
cana-3679	109	20	for	for	ADP
cana-3679	109	21	comprehensive	comprehensive	ADJ
cana-3679	109	22	soil	soil	NOUN
cana-3679	109	23	moisture	moisture	NOUN
cana-3679	109	24	mapping	mapping	NOUN
cana-3679	109	25	[	[	X
cana-3679	109	26	4	4	NUM
cana-3679	109	27	]	]	X
cana-3679	110	1	[	[	X
cana-3679	110	2	2	2	NUM
cana-3679	110	3	]	]	PUNCT
cana-3679	110	4	singha	singha	PROPN
cana-3679	110	5	and	and	CCONJ
cana-3679	110	6	others	other	NOUN
cana-3679	110	7	.	.	PUNCT
cana-3679	111	1	(	(	PUNCT
cana-3679	111	2	2023	2023	NUM
cana-3679	111	3	)	)	PUNCT
cana-3679	111	4	presents	present	VERB
cana-3679	111	5	a	a	DET
cana-3679	111	6	review	review	NOUN
cana-3679	111	7	and	and	CCONJ
cana-3679	111	8	bibliographic	bibliographic	ADJ
cana-3679	111	9	analysis	analysis	NOUN
cana-3679	111	10	of	of	ADP
cana-3679	111	11	traditional	traditional	ADJ
cana-3679	111	12	and	and	CCONJ
cana-3679	111	13	advanced	advanced	ADJ
cana-3679	111	14	methods	method	NOUN
cana-3679	111	15	for	for	ADP
cana-3679	111	16	soil	soil	NOUN
cana-3679	111	17	moisture	moisture	NOUN
cana-3679	111	18	measurement	measurement	NOUN
cana-3679	111	19	.	.	PUNCT
cana-3679	112	1	including	include	VERB
cana-3679	112	2	automatic	automatic	ADJ
cana-3679	112	3	sensors	sensor	NOUN
cana-3679	112	4	remote	remote	ADJ
cana-3679	112	5	sensing	sensing	NOUN
cana-3679	112	6	and	and	CCONJ
cana-3679	112	7	machine	machine	NOUN
cana-3679	112	8	learning	learn	VERB
cana-3679	112	9	techniques	technique	NOUN
cana-3679	112	10	this	this	DET
cana-3679	112	11	article	article	NOUN
cana-3679	112	12	has	have	VERB
cana-3679	112	13	usage	usage	NOUN
cana-3679	112	14	details	detail	NOUN
cana-3679	112	15	.	.	PUNCT
cana-3679	113	1	research	research	NOUN
cana-3679	113	2	trends	trend	NOUN
cana-3679	113	3	and	and	CCONJ
cana-3679	113	4	future	future	ADJ
cana-3679	113	5	direction	direction	NOUN
cana-3679	113	6	a	a	DET
cana-3679	113	7	holistic	holistic	ADJ
cana-3679	113	8	approach	approach	NOUN
cana-3679	113	9	to	to	ADP
cana-3679	113	10	the	the	DET
cana-3679	113	11	development	development	NOUN
cana-3679	113	12	of	of	ADP
cana-3679	113	13	soil	soil	NOUN
cana-3679	113	14	moisture	moisture	NOUN
cana-3679	113	15	measurement	measurement	NOUN
cana-3679	113	16	technology	technology	NOUN
cana-3679	113	17	has	have	AUX
cana-3679	113	18	been	be	AUX
cana-3679	113	19	provided	provide	VERB
cana-3679	113	20	[	[	X
cana-3679	113	21	5	5	NUM
cana-3679	113	22	]	]	PUNCT
cana-3679	114	1	[	[	X
cana-3679	114	2	9	9	NUM
cana-3679	114	3	]	]	X
cana-3679	114	4	wang	wang	PROPN
cana-3679	114	5	and	and	CCONJ
cana-3679	114	6	colleagues	colleague	NOUN
cana-3679	114	7	(	(	PUNCT
cana-3679	114	8	2023	2023	NUM
cana-3679	114	9	)	)	PUNCT
cana-3679	114	10	conducted	conduct	VERB
cana-3679	114	11	a	a	DET
cana-3679	114	12	comprehensive	comprehensive	ADJ
cana-3679	114	13	study	study	NOUN
cana-3679	114	14	on	on	ADP
cana-3679	114	15	the	the	DET
cana-3679	114	16	application	application	NOUN
cana-3679	114	17	of	of	ADP
cana-3679	114	18	deep	deep	ADJ
cana-3679	114	19	learning	learning	NOUN
cana-3679	114	20	for	for	ADP
cana-3679	114	21	soil	soil	NOUN
cana-3679	114	22	moisture	moisture	NOUN
cana-3679	114	23	prediction	prediction	NOUN
cana-3679	114	24	.	.	PUNCT
cana-3679	115	1	their	their	PRON
cana-3679	115	2	analysis	analysis	NOUN
cana-3679	115	3	covers	cover	VERB
cana-3679	115	4	a	a	DET
cana-3679	115	5	wide	wide	ADJ
cana-3679	115	6	range	range	NOUN
cana-3679	115	7	of	of	ADP
cana-3679	115	8	architectures	architecture	NOUN
cana-3679	115	9	,	,	PUNCT
cana-3679	115	10	including	include	VERB
cana-3679	115	11	cnn	cnn	PROPN
cana-3679	115	12	,	,	PUNCT
cana-3679	115	13	lstm	lstm	ADJ
cana-3679	115	14	,	,	PUNCT
cana-3679	115	15	and	and	CCONJ
cana-3679	115	16	hybrid	hybrid	NOUN
cana-3679	115	17	models	model	NOUN
cana-3679	115	18	.	.	PUNCT
cana-3679	116	1	evaluate	evaluate	VERB
cana-3679	116	2	performance	performance	NOUN
cana-3679	116	3	on	on	ADP
cana-3679	116	4	different	different	ADJ
cana-3679	116	5	datasets	dataset	NOUN
cana-3679	116	6	and	and	CCONJ
cana-3679	116	7	situations	situation	NOUN
cana-3679	116	8	.	.	PUNCT
cana-3679	117	1	this	this	DET
cana-3679	117	2	study	study	NOUN
cana-3679	117	3	provides	provide	VERB
cana-3679	117	4	valuable	valuable	ADJ
cana-3679	117	5	insights	insight	NOUN
cana-3679	117	6	into	into	ADP
cana-3679	117	7	the	the	DET
cana-3679	117	8	comparative	comparative	ADJ
cana-3679	117	9	performance	performance	NOUN
cana-3679	117	10	of	of	ADP
cana-3679	117	11	deep	deep	ADJ
cana-3679	117	12	learning	learning	NOUN
cana-3679	117	13	models	model	NOUN
cana-3679	117	14	.	.	PUNCT
cana-3679	118	1	creating	create	VERB
cana-3679	118	2	a	a	DET
cana-3679	118	3	benchmark	benchmark	NOUN
cana-3679	118	4	for	for	ADP
cana-3679	118	5	future	future	ADJ
cana-3679	118	6	research	research	NOUN
cana-3679	118	7	.	.	PUNCT
cana-3679	119	1	[	[	X
cana-3679	119	2	6	6	NUM
cana-3679	119	3	]	]	X
cana-3679	119	4	wang	wang	PROPN
cana-3679	119	5	and	and	CCONJ
cana-3679	119	6	zha	zha	PROPN
cana-3679	119	7	(	(	PUNCT
cana-3679	119	8	2024	2024	NUM
cana-3679	119	9	)	)	PUNCT
cana-3679	119	10	compared	compare	VERB
cana-3679	119	11	the	the	DET
cana-3679	119	12	performance	performance	NOUN
cana-3679	119	13	of	of	ADP
cana-3679	119	14	a	a	DET
cana-3679	119	15	transformer	transformer	NOUN
cana-3679	119	16	model	model	NOUN
cana-3679	119	17	,	,	PUNCT
cana-3679	119	18	lstm	lstm	ADJ
cana-3679	119	19	network	network	NOUN
cana-3679	119	20	,	,	PUNCT
cana-3679	119	21	and	and	CCONJ
cana-3679	119	22	coupled	couple	VERB
cana-3679	119	23	algorithms	algorithm	NOUN
cana-3679	119	24	for	for	ADP
cana-3679	119	25	moisture	moisture	NOUN
cana-3679	119	26	prediction	prediction	NOUN
cana-3679	119	27	in	in	ADP
cana-3679	119	28	low	low	ADJ
cana-3679	119	29	groundwater	groundwater	NOUN
cana-3679	119	30	level	level	NOUN
cana-3679	119	31	areas	area	NOUN
cana-3679	119	32	.	.	PUNCT
cana-3679	120	1	they	they	PRON
cana-3679	120	2	also	also	ADV
cana-3679	120	3	performed	perform	VERB
cana-3679	120	4	an	an	DET
cana-3679	120	5	interpretability	interpretability	NOUN
cana-3679	120	6	analysis	analysis	NOUN
cana-3679	120	7	to	to	PART
cana-3679	120	8	understand	understand	VERB
cana-3679	120	9	the	the	DET
cana-3679	120	10	importance	importance	NOUN
cana-3679	120	11	of	of	ADP
cana-3679	120	12	the	the	DET
cana-3679	120	13	two	two	NUM
cana-3679	120	14	resources	resource	NOUN
cana-3679	120	15	and	and	CCONJ
cana-3679	120	16	decision	decision	NOUN
cana-3679	120	17	-	-	PUNCT
cana-3679	120	18	making	make	VERB
cana-3679	120	19	processes	process	NOUN
cana-3679	120	20	within	within	ADP
cana-3679	120	21	the	the	DET
cana-3679	120	22	two	two	NUM
cana-3679	120	23	models	model	NOUN
cana-3679	120	24	.	.	PUNCT
cana-3679	121	1	their	their	PRON
cana-3679	121	2	findings	finding	NOUN
cana-3679	121	3	highlight	highlight	VERB
cana-3679	121	4	the	the	DET
cana-3679	121	5	superiority	superiority	NOUN
cana-3679	121	6	of	of	ADP
cana-3679	121	7	two	two	NUM
cana-3679	121	8	transformers	transformer	NOUN
cana-3679	121	9	in	in	ADP
cana-3679	121	10	dealing	deal	VERB
cana-3679	121	11	with	with	ADP
cana-3679	121	12	complex	complex	ADJ
cana-3679	121	13	transient	transient	ADJ
cana-3679	121	14	dependencies	dependency	NOUN
cana-3679	121	15	.	.	PUNCT
cana-3679	122	1	and	and	CCONJ
cana-3679	122	2	maintain	maintain	VERB
cana-3679	122	3	interpretability	interpretability	NOUN
cana-3679	122	4	.	.	PUNCT
cana-3679	123	1	this	this	PRON
cana-3679	123	2	makes	make	VERB
cana-3679	123	3	them	they	PRON
cana-3679	123	4	a	a	DET
cana-3679	123	5	strong	strong	ADJ
cana-3679	123	6	choice	choice	NOUN
cana-3679	123	7	for	for	ADP
cana-3679	123	8	single	single	ADJ
cana-3679	123	9	-	-	PUNCT
cana-3679	123	10	accuracy	accuracy	NOUN
cana-3679	123	11	forecasting	forecasting	NOUN
cana-3679	123	12	tasks.[8	tasks.[8	PRON
cana-3679	123	13	]	]	X
cana-3679	123	14	3	3	X
cana-3679	123	15	.	.	X
cana-3679	123	16	methods	method	NOUN
cana-3679	123	17	to	to	PART
cana-3679	123	18	achieve	achieve	VERB
cana-3679	123	19	accurate	accurate	ADJ
cana-3679	123	20	depth	depth	NOUN
cana-3679	123	21	predictions	prediction	NOUN
cana-3679	123	22	only	only	ADV
cana-3679	123	23	using	use	VERB
cana-3679	123	24	deep	deep	ADJ
cana-3679	123	25	learning	learning	NOUN
cana-3679	123	26	.	.	PUNCT
cana-3679	124	1	therefore	therefore	ADV
cana-3679	124	2	,	,	PUNCT
cana-3679	124	3	the	the	DET
cana-3679	124	4	following	follow	VERB
cana-3679	124	5	systematic	systematic	ADJ
cana-3679	124	6	approach	approach	NOUN
cana-3679	124	7	has	have	AUX
cana-3679	124	8	been	be	AUX
cana-3679	124	9	adopted	adopt	VERB
cana-3679	124	10	:	:	PUNCT
cana-3679	124	11	to	to	PART
cana-3679	124	12	meet	meet	VERB
cana-3679	124	13	the	the	DET
cana-3679	124	14	challenges	challenge	NOUN
cana-3679	124	15	identified	identify	VERB
cana-3679	124	16	in	in	ADP
cana-3679	124	17	the	the	DET
cana-3679	124	18	problem	problem	NOUN
cana-3679	124	19	formulation	formulation	NOUN
cana-3679	124	20	in	in	ADP
cana-3679	124	21	this	this	DET
cana-3679	124	22	research	research	NOUN
cana-3679	124	23	uses	use	VERB
cana-3679	124	24	a	a	DET
cana-3679	124	25	structured	structured	ADJ
cana-3679	124	26	and	and	CCONJ
cana-3679	124	27	systematic	systematic	ADJ
cana-3679	124	28	methodology	methodology	NOUN
cana-3679	124	29	.	.	PUNCT
cana-3679	125	1	this	this	PRON
cana-3679	125	2	includes	include	VERB
cana-3679	125	3	collecting	collect	VERB
cana-3679	125	4	information	information	NOUN
cana-3679	125	5	.	.	PUNCT
cana-3679	126	1	model	model	NOUN
cana-3679	126	2	development	development	PROPN
cana-3679	126	3	,	,	PUNCT
cana-3679	126	4	evaluation	evaluation	NOUN
cana-3679	126	5	,	,	PUNCT
cana-3679	126	6	and	and	CCONJ
cana-3679	126	7	interpretability	interpretability	NOUN
cana-3679	126	8	analysis.[22	analysis.[22	PROPN
cana-3679	126	9	]	]	PUNCT
cana-3679	127	1	it	it	PRON
cana-3679	127	2	is	be	AUX
cana-3679	127	3	a	a	DET
cana-3679	127	4	detailed	detailed	ADJ
cana-3679	127	5	procedure	procedure	NOUN
cana-3679	127	6	to	to	PART
cana-3679	127	7	follow	follow	VERB
cana-3679	127	8	in	in	ADP
cana-3679	127	9	order	order	NOUN
cana-3679	127	10	to	to	PART
cana-3679	127	11	address	address	VERB
cana-3679	127	12	:	:	PUNCT
cana-3679	127	13	communications	communication	NOUN
cana-3679	127	14	on	on	ADP
cana-3679	127	15	applied	apply	VERB
cana-3679	127	16	nonlinear	nonlinear	ADJ
cana-3679	127	17	analysis	analysis	NOUN
cana-3679	127	18	issn	issn	NOUN
cana-3679	127	19	:	:	PUNCT
cana-3679	127	20	1074	1074	NUM
cana-3679	127	21	-	-	PUNCT
cana-3679	127	22	133x	133x	NUM
cana-3679	127	23	vol	vol	NOUN
cana-3679	127	24	32	32	NUM
cana-3679	127	25	no	no	NOUN
cana-3679	127	26	.	.	PUNCT
cana-3679	128	1	8s	8s	PROPN
cana-3679	128	2	(	(	PUNCT
cana-3679	128	3	2025	2025	NUM
cana-3679	128	4	)	)	PUNCT
cana-3679	128	5	333	333	NUM
cana-3679	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	128	7	data	data	NOUN
cana-3679	128	8	collection	collection	NOUN
cana-3679	128	9	and	and	CCONJ
cana-3679	128	10	preprocessing	preprocesse	VERB
cana-3679	128	11	dice	dice	NOUN
cana-3679	128	12	source	source	NOUN
cana-3679	128	13	:	:	PUNCT
cana-3679	128	14	colete	colete	PROPN
cana-3679	128	15	's	's	PART
cana-3679	128	16	different	different	ADJ
cana-3679	128	17	dice	dice	NOUN
cana-3679	128	18	sets	set	NOUN
cana-3679	128	19	from	from	ADP
cana-3679	128	20	:	:	PUNCT
cana-3679	128	21	satellite	satellite	NOUN
cana-3679	128	22	imagery	imagery	NOUN
cana-3679	128	23	:	:	PUNCT
cana-3679	128	24	sentinel-2	sentinel-2	NUM
cana-3679	128	25	,	,	PUNCT
cana-3679	128	26	smap	smap	NOUN
cana-3679	128	27	and	and	CCONJ
cana-3679	128	28	modis	modis	PROPN
cana-3679	128	29	data	datum	NOUN
cana-3679	128	30	are	be	AUX
cana-3679	128	31	used	use	VERB
cana-3679	128	32	to	to	PART
cana-3679	128	33	obtain	obtain	VERB
cana-3679	128	34	spatial	spatial	ADJ
cana-3679	128	35	and	and	CCONJ
cana-3679	128	36	temporal	temporal	ADJ
cana-3679	128	37	information	information	NOUN
cana-3679	128	38	about	about	ADP
cana-3679	128	39	the	the	DET
cana-3679	128	40	same	same	ADJ
cana-3679	128	41	.	.	PUNCT
cana-3679	129	1	insole	insole	NOUN
cana-3679	129	2	-	-	PUNCT
cana-3679	129	3	based	base	VERB
cana-3679	129	4	measurements	measurement	NOUN
cana-3679	129	5	:	:	PUNCT
cana-3679	129	6	integrate	integrate	VERB
cana-3679	129	7	in	in	ADP
cana-3679	129	8	situ	situ	ADJ
cana-3679	129	9	insole	insole	ADJ
cana-3679	129	10	moisture	moisture	NOUN
cana-3679	129	11	observations	observation	NOUN
cana-3679	129	12	for	for	ADP
cana-3679	129	13	model	model	NOUN
cana-3679	129	14	calibration	calibration	NOUN
cana-3679	129	15	and	and	CCONJ
cana-3679	129	16	validation.[21	validation.[21	PROPN
cana-3679	129	17	]	]	PUNCT
cana-3679	129	18	meteorological	meteorological	ADJ
cana-3679	129	19	data	datum	NOUN
cana-3679	129	20	:	:	PUNCT
cana-3679	129	21	include	include	VERB
cana-3679	129	22	precipitation	precipitation	NOUN
cana-3679	129	23	,	,	PUNCT
cana-3679	129	24	temperature	temperature	NOUN
cana-3679	129	25	,	,	PUNCT
cana-3679	129	26	and	and	CCONJ
cana-3679	129	27	other	other	ADJ
cana-3679	129	28	climate	climate	NOUN
cana-3679	129	29	variables	variable	NOUN
cana-3679	129	30	from	from	ADP
cana-3679	129	31	publicly	publicly	ADV
cana-3679	129	32	available	available	ADJ
cana-3679	129	33	databases	database	NOUN
cana-3679	129	34	.	.	PUNCT
cana-3679	130	1	data	datum	NOUN
cana-3679	130	2	preprocessing	preprocesse	VERB
cana-3679	130	3	a	a	DET
cana-3679	130	4	new	new	ADJ
cana-3679	130	5	set	set	NOUN
cana-3679	130	6	of	of	ADP
cana-3679	130	7	training	training	NOUN
cana-3679	130	8	dice	dice	NOUN
cana-3679	130	9	for	for	ADP
cana-3679	130	10	solving	solve	VERB
cana-3679	130	11	spatial	spatial	ADJ
cana-3679	130	12	and	and	CCONJ
cana-3679	130	13	temporal	temporal	ADJ
cana-3679	130	14	problems	problem	NOUN
cana-3679	130	15	.	.	PUNCT
cana-3679	131	1	normalize	normalize	VERB
cana-3679	131	2	and	and	CCONJ
cana-3679	131	3	clean	clean	VERB
cana-3679	131	4	the	the	DET
cana-3679	131	5	data	datum	NOUN
cana-3679	131	6	to	to	PART
cana-3679	131	7	remove	remove	VERB
cana-3679	131	8	noise	noise	NOUN
cana-3679	131	9	and	and	CCONJ
cana-3679	131	10	inconsistencies	inconsistency	NOUN
cana-3679	131	11	.	.	PUNCT
cana-3679	132	1	composite	composite	ADJ
cana-3679	132	2	resources	resource	NOUN
cana-3679	132	3	such	such	ADJ
cana-3679	132	4	as	as	ADP
cana-3679	132	5	vegetation	vegetation	NOUN
cana-3679	132	6	indices	index	NOUN
cana-3679	132	7	,	,	PUNCT
cana-3679	132	8	single	single	ADJ
cana-3679	132	9	surface	surface	NOUN
cana-3679	132	10	maps	map	NOUN
cana-3679	132	11	and	and	CCONJ
cana-3679	132	12	indicators	indicator	NOUN
cana-3679	132	13	of	of	ADP
cana-3679	132	14	water	water	NOUN
cana-3679	132	15	stress.[23	stress.[23	NOUN
cana-3679	132	16	]	]	PUNCT
cana-3679	132	17	model	model	NOUN
cana-3679	132	18	development	development	PROPN
cana-3679	132	19	deep	deep	PROPN
cana-3679	132	20	learning	learning	NOUN
cana-3679	132	21	architectures	architecture	NOUN
cana-3679	132	22	:	:	PUNCT
cana-3679	132	23	evaluate	evaluate	VERB
cana-3679	132	24	the	the	DET
cana-3679	132	25	following	following	ADJ
cana-3679	132	26	architectures	architecture	NOUN
cana-3679	132	27	for	for	ADP
cana-3679	132	28	soil	soil	NOUN
cana-3679	132	29	moisture	moisture	NOUN
cana-3679	132	30	prediction	prediction	NOUN
cana-3679	132	31	:	:	PUNCT
cana-3679	132	32	convolutional	convolutional	ADJ
cana-3679	132	33	neural	neural	ADJ
cana-3679	132	34	networks	network	NOUN
cana-3679	132	35	(	(	PUNCT
cana-3679	132	36	cnns	cnns	PROPN
cana-3679	132	37	)	)	PUNCT
cana-3679	132	38	for	for	ADP
cana-3679	132	39	capturing	capture	VERB
cana-3679	132	40	spatial	spatial	ADJ
cana-3679	132	41	patterns	pattern	NOUN
cana-3679	132	42	.	.	PUNCT
cana-3679	133	1	recurrent	recurrent	ADJ
cana-3679	133	2	neural	neural	ADJ
cana-3679	133	3	networks	network	NOUN
cana-3679	133	4	(	(	PUNCT
cana-3679	133	5	rnns	rnns	PROPN
cana-3679	133	6	)	)	PUNCT
cana-3679	133	7	and	and	CCONJ
cana-3679	133	8	long	long	ADJ
cana-3679	133	9	short	short	ADJ
cana-3679	133	10	-	-	PUNCT
cana-3679	133	11	term	term	NOUN
cana-3679	133	12	memory	memory	NOUN
cana-3679	133	13	(	(	PUNCT
cana-3679	133	14	lstm	lstm	NOUN
cana-3679	133	15	)	)	PUNCT
cana-3679	133	16	for	for	ADP
cana-3679	133	17	modeling	model	VERB
cana-3679	133	18	temporal	temporal	ADJ
cana-3679	133	19	dependencies	dependency	NOUN
cana-3679	133	20	.	.	PUNCT
cana-3679	134	1	transformers	transformer	NOUN
cana-3679	134	2	for	for	ADP
cana-3679	134	3	handling	handle	VERB
cana-3679	134	4	spatio	spatio	NOUN
cana-3679	134	5	-	-	PUNCT
cana-3679	134	6	temporal	temporal	ADJ
cana-3679	134	7	sequences	sequence	NOUN
cana-3679	134	8	with	with	ADP
cana-3679	134	9	attention	attention	NOUN
cana-3679	134	10	mechanisms	mechanism	NOUN
cana-3679	134	11	.	.	PUNCT
cana-3679	135	1	hybrid	hybrid	ADJ
cana-3679	135	2	models	model	NOUN
cana-3679	135	3	:	:	PUNCT
cana-3679	135	4	design	design	NOUN
cana-3679	135	5	and	and	CCONJ
cana-3679	135	6	implement	implement	VERB
cana-3679	135	7	hybrid	hybrid	NOUN
cana-3679	135	8	models	model	NOUN
cana-3679	135	9	combining	combine	VERB
cana-3679	135	10	cnns	cnn	NOUN
cana-3679	135	11	,	,	PUNCT
cana-3679	135	12	rnns	rnn	NOUN
cana-3679	135	13	,	,	PUNCT
cana-3679	135	14	and	and	CCONJ
cana-3679	135	15	transformers	transformer	NOUN
cana-3679	135	16	to	to	PART
cana-3679	135	17	leverage	leverage	VERB
cana-3679	135	18	their	their	PRON
cana-3679	135	19	complementary	complementary	ADJ
cana-3679	135	20	strengths	strength	NOUN
cana-3679	135	21	.	.	PUNCT
cana-3679	136	1	optimization	optimization	NOUN
cana-3679	136	2	:	:	PUNCT
cana-3679	136	3	employ	employ	VERB
cana-3679	136	4	hyperparameter	hyperparameter	NOUN
cana-3679	136	5	tuning	tune	VERB
cana-3679	136	6	techniques	technique	NOUN
cana-3679	136	7	,	,	PUNCT
cana-3679	136	8	such	such	ADJ
cana-3679	136	9	as	as	ADP
cana-3679	136	10	grid	grid	NOUN
cana-3679	136	11	search	search	NOUN
cana-3679	136	12	and	and	CCONJ
cana-3679	136	13	bayesian	bayesian	NOUN
cana-3679	136	14	optimization	optimization	NOUN
cana-3679	136	15	,	,	PUNCT
cana-3679	136	16	to	to	PART
cana-3679	136	17	optimize	optimize	VERB
cana-3679	136	18	model	model	NOUN
cana-3679	136	19	parameters	parameter	NOUN
cana-3679	136	20	.	.	PUNCT
cana-3679	137	1	use	use	VERB
cana-3679	137	2	regularization	regularization	NOUN
cana-3679	137	3	techniques	technique	NOUN
cana-3679	137	4	,	,	PUNCT
cana-3679	137	5	such	such	ADJ
cana-3679	137	6	as	as	ADP
cana-3679	137	7	dropout	dropout	NOUN
cana-3679	137	8	and	and	CCONJ
cana-3679	137	9	batch	batch	NOUN
cana-3679	137	10	normalization	normalization	NOUN
cana-3679	137	11	,	,	PUNCT
cana-3679	137	12	to	to	PART
cana-3679	137	13	prevent	prevent	VERB
cana-3679	137	14	overfitting	overfitting	NOUN
cana-3679	137	15	.	.	PUNCT
cana-3679	138	1	model	model	NOUN
cana-3679	138	2	training	training	NOUN
cana-3679	138	3	and	and	CCONJ
cana-3679	138	4	validation	validation	NOUN
cana-3679	138	5	training	training	NOUN
cana-3679	138	6	protocol	protocol	NOUN
cana-3679	138	7	:	:	PUNCT
cana-3679	138	8	split	split	VERB
cana-3679	138	9	the	the	DET
cana-3679	138	10	dataset	dataset	NOUN
cana-3679	138	11	into	into	ADP
cana-3679	138	12	training	training	NOUN
cana-3679	138	13	(	(	PUNCT
cana-3679	138	14	70	70	NUM
cana-3679	138	15	%	%	NOUN
cana-3679	138	16	)	)	PUNCT
cana-3679	138	17	,	,	PUNCT
cana-3679	138	18	validation	validation	NOUN
cana-3679	138	19	(	(	PUNCT
cana-3679	138	20	15	15	NUM
cana-3679	138	21	%	%	NOUN
cana-3679	138	22	)	)	PUNCT
cana-3679	138	23	,	,	PUNCT
cana-3679	138	24	and	and	CCONJ
cana-3679	138	25	testing	testing	NOUN
cana-3679	138	26	(	(	PUNCT
cana-3679	138	27	15	15	NUM
cana-3679	138	28	%	%	NOUN
cana-3679	138	29	)	)	PUNCT
cana-3679	138	30	subsets	subset	NOUN
cana-3679	138	31	.	.	PUNCT
cana-3679	139	1	use	use	VERB
cana-3679	139	2	cross	cross	NOUN
cana-3679	139	3	-	-	NOUN
cana-3679	139	4	validation	validation	NOUN
cana-3679	139	5	to	to	PART
cana-3679	139	6	ensure	ensure	VERB
cana-3679	139	7	robustness	robustness	NOUN
cana-3679	139	8	across	across	ADP
cana-3679	139	9	different	different	ADJ
cana-3679	139	10	geographic	geographic	ADJ
cana-3679	139	11	and	and	CCONJ
cana-3679	139	12	climatic	climatic	ADJ
cana-3679	139	13	scenarios	scenario	NOUN
cana-3679	139	14	.	.	PUNCT
cana-3679	140	1	loss	loss	NOUN
cana-3679	140	2	functions	function	NOUN
cana-3679	140	3	:	:	PUNCT
cana-3679	140	4	implement	implement	NOUN
cana-3679	140	5	mean	mean	NOUN
cana-3679	140	6	squared	square	VERB
cana-3679	140	7	error	error	NOUN
cana-3679	140	8	(	(	PUNCT
cana-3679	140	9	mse	mse	NOUN
cana-3679	140	10	)	)	PUNCT
cana-3679	140	11	and	and	CCONJ
cana-3679	140	12	mean	mean	VERB
cana-3679	140	13	absolute	absolute	ADJ
cana-3679	140	14	error	error	NOUN
cana-3679	140	15	(	(	PUNCT
cana-3679	140	16	mae	mae	PROPN
cana-3679	140	17	)	)	PUNCT
cana-3679	140	18	as	as	ADP
cana-3679	140	19	primary	primary	ADJ
cana-3679	140	20	loss	loss	NOUN
cana-3679	140	21	functions	function	NOUN
cana-3679	140	22	.	.	PUNCT
cana-3679	141	1	experiment	experiment	NOUN
cana-3679	141	2	with	with	ADP
cana-3679	141	3	custom	custom	NOUN
cana-3679	141	4	loss	loss	NOUN
cana-3679	141	5	functions	function	NOUN
cana-3679	141	6	that	that	PRON
cana-3679	141	7	account	account	VERB
cana-3679	141	8	for	for	ADP
cana-3679	141	9	spatio	spatio	NOUN
cana-3679	141	10	-	-	PUNCT
cana-3679	141	11	temporal	temporal	ADJ
cana-3679	141	12	correlations	correlation	NOUN
cana-3679	141	13	.	.	PUNCT
cana-3679	142	1	evaluation	evaluation	NOUN
cana-3679	142	2	metrics	metric	NOUN
cana-3679	142	3	:	:	PUNCT
cana-3679	142	4	quantify	quantify	VERB
cana-3679	142	5	model	model	NOUN
cana-3679	142	6	performance	performance	NOUN
cana-3679	142	7	using	use	VERB
cana-3679	142	8	metrics	metric	NOUN
cana-3679	142	9	such	such	ADJ
cana-3679	142	10	as	as	ADP
cana-3679	142	11	r	r	NOUN
cana-3679	142	12	-	-	PUNCT
cana-3679	142	13	squared	square	VERB
cana-3679	142	14	(	(	PUNCT
cana-3679	142	15	r²	r²	PROPN
cana-3679	142	16	)	)	PUNCT
cana-3679	142	17	,	,	PUNCT
cana-3679	142	18	root	root	NOUN
cana-3679	142	19	mean	mean	VERB
cana-3679	142	20	square	square	ADJ
cana-3679	142	21	error	error	NOUN
cana-3679	142	22	(	(	PUNCT
cana-3679	142	23	rmse	rmse	NOUN
cana-3679	142	24	)	)	PUNCT
cana-3679	142	25	,	,	PUNCT
cana-3679	142	26	and	and	CCONJ
cana-3679	142	27	mean	mean	VERB
cana-3679	142	28	absolute	absolute	ADJ
cana-3679	142	29	percentage	percentage	NOUN
cana-3679	142	30	error	error	NOUN
cana-3679	142	31	(	(	PUNCT
cana-3679	142	32	mape	mape	NOUN
cana-3679	142	33	)	)	PUNCT
cana-3679	142	34	.	.	PUNCT
cana-3679	143	1	model	model	PROPN
cana-3679	143	2	comparison	comparison	NOUN
cana-3679	143	3	and	and	CCONJ
cana-3679	143	4	benchmarking	benchmarking	NOUN
cana-3679	143	5	compare	compare	VERB
cana-3679	143	6	the	the	DET
cana-3679	143	7	performance	performance	NOUN
cana-3679	143	8	of	of	ADP
cana-3679	143	9	different	different	ADJ
cana-3679	143	10	architectures	architecture	NOUN
cana-3679	143	11	and	and	CCONJ
cana-3679	143	12	hybrid	hybrid	NOUN
cana-3679	143	13	models	model	NOUN
cana-3679	143	14	across	across	ADP
cana-3679	143	15	diverse	diverse	ADJ
cana-3679	143	16	datasets	dataset	NOUN
cana-3679	143	17	.	.	PUNCT
cana-3679	144	1	communications	communication	NOUN
cana-3679	144	2	on	on	ADP
cana-3679	144	3	applied	apply	VERB
cana-3679	144	4	nonlinear	nonlinear	ADJ
cana-3679	144	5	analysis	analysis	NOUN
cana-3679	144	6	issn	issn	NOUN
cana-3679	144	7	:	:	PUNCT
cana-3679	144	8	1074	1074	NUM
cana-3679	144	9	-	-	PUNCT
cana-3679	144	10	133x	133x	NUM
cana-3679	144	11	vol	vol	NOUN
cana-3679	144	12	32	32	NUM
cana-3679	144	13	no	no	NOUN
cana-3679	144	14	.	.	PUNCT
cana-3679	145	1	8s	8s	PROPN
cana-3679	145	2	(	(	PUNCT
cana-3679	145	3	2025	2025	NUM
cana-3679	145	4	)	)	PUNCT
cana-3679	145	5	334	334	NUM
cana-3679	145	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	145	7	perform	perform	VERB
cana-3679	145	8	sensitivity	sensitivity	NOUN
cana-3679	145	9	analysis	analysis	NOUN
cana-3679	145	10	to	to	PART
cana-3679	145	11	evaluate	evaluate	VERB
cana-3679	145	12	the	the	DET
cana-3679	145	13	impact	impact	NOUN
cana-3679	145	14	of	of	ADP
cana-3679	145	15	input	input	NOUN
cana-3679	145	16	variables	variable	NOUN
cana-3679	145	17	and	and	CCONJ
cana-3679	145	18	model	model	VERB
cana-3679	145	19	hyperparameters	hyperparameter	NOUN
cana-3679	145	20	on	on	ADP
cana-3679	145	21	prediction	prediction	NOUN
cana-3679	145	22	accuracy	accuracy	NOUN
cana-3679	145	23	.	.	PUNCT
cana-3679	146	1	interpretability	interpretability	NOUN
cana-3679	146	2	and	and	CCONJ
cana-3679	146	3	insights	insight	NOUN
cana-3679	146	4	feature	feature	VERB
cana-3679	146	5	importance	importance	NOUN
cana-3679	146	6	analysis	analysis	NOUN
cana-3679	146	7	:	:	PUNCT
cana-3679	146	8	use	use	VERB
cana-3679	146	9	techniques	technique	NOUN
cana-3679	146	10	such	such	ADJ
cana-3679	146	11	as	as	ADP
cana-3679	146	12	shap	shap	NOUN
cana-3679	146	13	(	(	PUNCT
cana-3679	146	14	shapley	shapley	ADJ
cana-3679	146	15	additive	additive	ADJ
cana-3679	146	16	explanations	explanation	NOUN
cana-3679	146	17	)	)	PUNCT
cana-3679	146	18	and	and	CCONJ
cana-3679	146	19	integrated	integrate	VERB
cana-3679	146	20	gradients	gradient	NOUN
cana-3679	146	21	to	to	PART
cana-3679	146	22	identify	identify	VERB
cana-3679	146	23	key	key	ADJ
cana-3679	146	24	features	feature	NOUN
cana-3679	146	25	influencing	influence	VERB
cana-3679	146	26	model	model	NOUN
cana-3679	146	27	predictions	prediction	NOUN
cana-3679	146	28	.	.	PUNCT
cana-3679	147	1	attention	attention	NOUN
cana-3679	147	2	mechanism	mechanism	NOUN
cana-3679	147	3	analysis	analysis	NOUN
cana-3679	147	4	:	:	PUNCT
cana-3679	147	5	for	for	ADP
cana-3679	147	6	transformer	transformer	NOUN
cana-3679	147	7	models	model	NOUN
cana-3679	147	8	,	,	PUNCT
cana-3679	147	9	analyze	analyze	VERB
cana-3679	147	10	attention	attention	NOUN
cana-3679	147	11	weights	weight	NOUN
cana-3679	147	12	to	to	PART
cana-3679	147	13	understand	understand	VERB
cana-3679	147	14	how	how	SCONJ
cana-3679	147	15	the	the	DET
cana-3679	147	16	model	model	NOUN
cana-3679	147	17	captures	capture	VERB
cana-3679	147	18	spatial	spatial	ADJ
cana-3679	147	19	and	and	CCONJ
cana-3679	147	20	temporal	temporal	ADJ
cana-3679	147	21	relationships	relationship	NOUN
cana-3679	147	22	in	in	ADP
cana-3679	147	23	soil	soil	NOUN
cana-3679	147	24	moisture	moisture	NOUN
cana-3679	147	25	data	datum	NOUN
cana-3679	147	26	.	.	PUNCT
cana-3679	148	1	scalability	scalability	NOUN
cana-3679	148	2	and	and	CCONJ
cana-3679	148	3	real	real	ADJ
cana-3679	148	4	-	-	PUNCT
cana-3679	148	5	world	world	NOUN
cana-3679	148	6	deployment	deployment	NOUN
cana-3679	148	7	test	test	NOUN
cana-3679	148	8	the	the	DET
cana-3679	148	9	models	model	NOUN
cana-3679	148	10	on	on	ADP
cana-3679	148	11	large	large	ADJ
cana-3679	148	12	-	-	PUNCT
cana-3679	148	13	scale	scale	NOUN
cana-3679	148	14	datasets	dataset	NOUN
cana-3679	148	15	to	to	PART
cana-3679	148	16	evaluate	evaluate	VERB
cana-3679	148	17	scalability	scalability	NOUN
cana-3679	148	18	and	and	CCONJ
cana-3679	148	19	computational	computational	ADJ
cana-3679	148	20	efficiency	efficiency	NOUN
cana-3679	148	21	.	.	PUNCT
cana-3679	149	1	develop	develop	VERB
cana-3679	149	2	a	a	DET
cana-3679	149	3	prototype	prototype	NOUN
cana-3679	149	4	web	web	NOUN
cana-3679	149	5	-	-	PUNCT
cana-3679	149	6	based	base	VERB
cana-3679	149	7	application	application	NOUN
cana-3679	149	8	to	to	PART
cana-3679	149	9	provide	provide	VERB
cana-3679	149	10	soil	soil	NOUN
cana-3679	149	11	moisture	moisture	NOUN
cana-3679	149	12	predictions	prediction	NOUN
cana-3679	149	13	and	and	CCONJ
cana-3679	149	14	insights	insight	NOUN
cana-3679	149	15	to	to	ADP
cana-3679	149	16	endusers	enduser	NOUN
cana-3679	149	17	.	.	PUNCT
cana-3679	150	1	[	[	X
cana-3679	150	2	25	25	NUM
cana-3679	150	3	]	]	PUNCT
cana-3679	150	4	in	in	ADP
cana-3679	150	5	the	the	DET
cana-3679	150	6	figure	figure	NOUN
cana-3679	150	7	1	1	NUM
cana-3679	150	8	is	be	AUX
cana-3679	150	9	systematic	systematic	ADJ
cana-3679	150	10	approach	approach	NOUN
cana-3679	150	11	for	for	ADP
cana-3679	150	12	evaluating	evaluate	VERB
cana-3679	150	13	deep	deep	ADJ
cana-3679	150	14	learning	learning	NOUN
cana-3679	150	15	techniques	technique	NOUN
cana-3679	150	16	for	for	ADP
cana-3679	150	17	soil	soil	NOUN
cana-3679	150	18	moisture	moisture	NOUN
cana-3679	150	19	prediction	prediction	NOUN
cana-3679	150	20	.	.	PUNCT
cana-3679	151	1	it	it	PRON
cana-3679	151	2	begins	begin	VERB
cana-3679	151	3	with	with	ADP
cana-3679	151	4	data	datum	NOUN
cana-3679	151	5	collection	collection	NOUN
cana-3679	151	6	,	,	PUNCT
cana-3679	151	7	where	where	SCONJ
cana-3679	151	8	soil	soil	NOUN
cana-3679	151	9	moisture	moisture	NOUN
cana-3679	151	10	data	datum	NOUN
cana-3679	151	11	is	be	AUX
cana-3679	151	12	obtained	obtain	VERB
cana-3679	151	13	from	from	ADP
cana-3679	151	14	satellite	satellite	NOUN
cana-3679	151	15	sensors	sensor	NOUN
cana-3679	151	16	,	,	PUNCT
cana-3679	151	17	automated	automated	ADJ
cana-3679	151	18	stations	station	NOUN
cana-3679	151	19	,	,	PUNCT
cana-3679	151	20	and	and	CCONJ
cana-3679	151	21	field	field	NOUN
cana-3679	151	22	measurements	measurement	NOUN
cana-3679	151	23	.	.	PUNCT
cana-3679	152	1	this	this	DET
cana-3679	152	2	data	data	NOUN
cana-3679	152	3	undergoes	undergoe	NOUN
cana-3679	152	4	preprocessing	preprocessing	NOUN
cana-3679	152	5	,	,	PUNCT
cana-3679	152	6	including	include	VERB
cana-3679	152	7	noise	noise	NOUN
cana-3679	152	8	removal	removal	NOUN
cana-3679	152	9	,	,	PUNCT
cana-3679	152	10	normalization	normalization	NOUN
cana-3679	152	11	,	,	PUNCT
cana-3679	152	12	and	and	CCONJ
cana-3679	152	13	feature	feature	NOUN
cana-3679	152	14	extraction	extraction	NOUN
cana-3679	152	15	,	,	PUNCT
cana-3679	152	16	before	before	ADP
cana-3679	152	17	being	be	AUX
cana-3679	152	18	stored	store	VERB
cana-3679	152	19	in	in	ADP
cana-3679	152	20	a	a	DET
cana-3679	152	21	centralized	centralized	ADJ
cana-3679	152	22	database	database	NOUN
cana-3679	152	23	.	.	PUNCT
cana-3679	153	1	preprocessed	preprocesse	VERB
cana-3679	153	2	data	datum	NOUN
cana-3679	153	3	flows	flow	NOUN
cana-3679	153	4	into	into	ADP
cana-3679	153	5	the	the	DET
cana-3679	153	6	model	model	NOUN
cana-3679	153	7	selection	selection	NOUN
cana-3679	153	8	and	and	CCONJ
cana-3679	153	9	training	training	NOUN
cana-3679	153	10	process	process	NOUN
cana-3679	153	11	,	,	PUNCT
cana-3679	153	12	where	where	SCONJ
cana-3679	153	13	various	various	ADJ
cana-3679	153	14	deep	deep	ADJ
cana-3679	153	15	learning	learning	NOUN
cana-3679	153	16	models	model	NOUN
cana-3679	153	17	,	,	PUNCT
cana-3679	153	18	such	such	ADJ
cana-3679	153	19	as	as	ADP
cana-3679	153	20	cnn	cnn	PROPN
cana-3679	153	21	,	,	PUNCT
cana-3679	153	22	lstm	lstm	ADJ
cana-3679	153	23	,	,	PUNCT
cana-3679	153	24	and	and	CCONJ
cana-3679	153	25	transformer	transformer	NOUN
cana-3679	153	26	-	-	PUNCT
cana-3679	153	27	based	base	VERB
cana-3679	153	28	models	model	NOUN
cana-3679	153	29	,	,	PUNCT
cana-3679	153	30	are	be	AUX
cana-3679	153	31	trained	train	VERB
cana-3679	153	32	using	use	VERB
cana-3679	153	33	training	training	NOUN
cana-3679	153	34	datasets	dataset	NOUN
cana-3679	153	35	.	.	PUNCT
cana-3679	154	1	the	the	DET
cana-3679	154	2	trained	train	VERB
cana-3679	154	3	models	model	NOUN
cana-3679	154	4	are	be	AUX
cana-3679	154	5	evaluated	evaluate	VERB
cana-3679	154	6	using	use	VERB
cana-3679	154	7	performance	performance	NOUN
cana-3679	154	8	metrics	metric	NOUN
cana-3679	154	9	like	like	ADP
cana-3679	154	10	rmse	rmse	NOUN
cana-3679	154	11	,	,	PUNCT
cana-3679	154	12	mae	mae	PROPN
cana-3679	154	13	,	,	PUNCT
cana-3679	154	14	and	and	CCONJ
cana-3679	154	15	accuracy	accuracy	NOUN
cana-3679	154	16	,	,	PUNCT
cana-3679	154	17	with	with	ADP
cana-3679	154	18	results	result	NOUN
cana-3679	154	19	stored	store	VERB
cana-3679	154	20	in	in	ADP
cana-3679	154	21	a	a	DET
cana-3679	154	22	performance	performance	NOUN
cana-3679	154	23	database	database	NOUN
cana-3679	154	24	.	.	PUNCT
cana-3679	155	1	insights	insight	NOUN
cana-3679	155	2	derived	derive	VERB
cana-3679	155	3	from	from	ADP
cana-3679	155	4	the	the	DET
cana-3679	155	5	evaluation	evaluation	NOUN
cana-3679	155	6	process	process	NOUN
cana-3679	155	7	guide	guide	VERB
cana-3679	155	8	the	the	DET
cana-3679	155	9	refinement	refinement	NOUN
cana-3679	155	10	of	of	ADP
cana-3679	155	11	models	model	NOUN
cana-3679	155	12	and	and	CCONJ
cana-3679	155	13	the	the	DET
cana-3679	155	14	generation	generation	NOUN
cana-3679	155	15	of	of	ADP
cana-3679	155	16	a	a	DET
cana-3679	155	17	comparative	comparative	ADJ
cana-3679	155	18	analysis	analysis	NOUN
cana-3679	155	19	report	report	NOUN
cana-3679	155	20	,	,	PUNCT
cana-3679	155	21	aiding	aid	VERB
cana-3679	155	22	in	in	ADP
cana-3679	155	23	identifying	identify	VERB
cana-3679	155	24	the	the	DET
cana-3679	155	25	optimal	optimal	ADJ
cana-3679	155	26	approach	approach	NOUN
cana-3679	155	27	for	for	ADP
cana-3679	155	28	accurate	accurate	ADJ
cana-3679	155	29	soil	soil	NOUN
cana-3679	155	30	moisture	moisture	NOUN
cana-3679	155	31	prediction.[24	prediction.[24	NOUN
cana-3679	155	32	]	]	PUNCT
cana-3679	155	33	communications	communication	NOUN
cana-3679	155	34	on	on	ADP
cana-3679	155	35	applied	apply	VERB
cana-3679	155	36	nonlinear	nonlinear	ADJ
cana-3679	155	37	analysis	analysis	NOUN
cana-3679	155	38	issn	issn	NOUN
cana-3679	155	39	:	:	PUNCT
cana-3679	155	40	1074	1074	NUM
cana-3679	155	41	-	-	PUNCT
cana-3679	155	42	133x	133x	NUM
cana-3679	155	43	vol	vol	NOUN
cana-3679	155	44	32	32	NUM
cana-3679	155	45	no	no	NOUN
cana-3679	155	46	.	.	PUNCT
cana-3679	156	1	8s	8s	PROPN
cana-3679	156	2	(	(	PUNCT
cana-3679	156	3	2025	2025	NUM
cana-3679	156	4	)	)	PUNCT
cana-3679	156	5	335	335	NUM
cana-3679	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	156	7	figure	figure	NOUN
cana-3679	156	8	1	1	NUM
cana-3679	156	9	.	.	PUNCT
cana-3679	156	10	proposed	propose	VERB
cana-3679	156	11	architecture	architecture	NOUN
cana-3679	156	12	for	for	ADP
cana-3679	156	13	soil	soil	NOUN
cana-3679	156	14	moisture	moisture	NOUN
cana-3679	156	15	forecasting	forecasting	NOUN
cana-3679	156	16	communications	communication	NOUN
cana-3679	156	17	on	on	ADP
cana-3679	156	18	applied	apply	VERB
cana-3679	156	19	nonlinear	nonlinear	ADJ
cana-3679	156	20	analysis	analysis	NOUN
cana-3679	156	21	issn	issn	NOUN
cana-3679	156	22	:	:	PUNCT
cana-3679	156	23	1074	1074	NUM
cana-3679	156	24	-	-	PUNCT
cana-3679	156	25	133x	133x	NUM
cana-3679	156	26	vol	vol	NOUN
cana-3679	156	27	32	32	NUM
cana-3679	156	28	no	no	NOUN
cana-3679	156	29	.	.	PUNCT
cana-3679	157	1	8s	8s	PROPN
cana-3679	157	2	(	(	PUNCT
cana-3679	157	3	2025	2025	NUM
cana-3679	157	4	)	)	PUNCT
cana-3679	157	5	336	336	NUM
cana-3679	157	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	157	7	3.1	3.1	NUM
cana-3679	157	8	.	.	PUNCT
cana-3679	157	9	proposed	propose	VERB
cana-3679	157	10	algorithm	algorithm	NOUN
cana-3679	157	11	:	:	PUNCT
cana-3679	157	12	deep	deep	ADJ
cana-3679	157	13	learning	learning	NOUN
cana-3679	157	14	-	-	PUNCT
cana-3679	157	15	based	base	VERB
cana-3679	157	16	soil	soil	NOUN
cana-3679	157	17	moisture	moisture	NOUN
cana-3679	157	18	forecasting	forecasting	NOUN
cana-3679	157	19	input	input	NOUN
cana-3679	157	20	:	:	PUNCT
cana-3679	157	21	•	•	NUM
cana-3679	157	22	remote	remote	ADJ
cana-3679	157	23	sensing	sense	VERB
cana-3679	157	24	data	datum	NOUN
cana-3679	157	25	s	s	PART
cana-3679	157	26	(	(	PUNCT
cana-3679	157	27	satellite	satellite	NOUN
cana-3679	157	28	imagery	imagery	NOUN
cana-3679	157	29	)	)	PUNCT
cana-3679	157	30	•	•	ADP
cana-3679	157	31	in	in	ADP
cana-3679	157	32	-	-	PUNCT
cana-3679	157	33	situ	situ	NOUN
cana-3679	157	34	sensor	sensor	NOUN
cana-3679	157	35	data	datum	NOUN
cana-3679	157	36	w	w	PROPN
cana-3679	157	37	(	(	PUNCT
cana-3679	157	38	ground	ground	NOUN
cana-3679	157	39	-	-	PUNCT
cana-3679	157	40	based	base	VERB
cana-3679	157	41	measurements	measurement	NOUN
cana-3679	157	42	)	)	PUNCT
cana-3679	157	43	•	•	NUM
cana-3679	157	44	meteorological	meteorological	ADJ
cana-3679	157	45	data	datum	NOUN
cana-3679	157	46	c	c	NOUN
cana-3679	157	47	(	(	PUNCT
cana-3679	157	48	climate	climate	NOUN
cana-3679	157	49	and	and	CCONJ
cana-3679	157	50	weather	weather	NOUN
cana-3679	157	51	parameters	parameter	NOUN
cana-3679	157	52	)	)	PUNCT
cana-3679	157	53	output	output	NOUN
cana-3679	157	54	:	:	PUNCT
cana-3679	157	55	•	•	NUM
cana-3679	157	56	predicted	predict	VERB
cana-3679	157	57	soil	soil	NOUN
cana-3679	157	58	moisture	moisture	NOUN
cana-3679	157	59	levels	level	NOUN
cana-3679	157	60	�	�	PROPN
cana-3679	157	61	̂	̂	VERB
cana-3679	157	62	�	�	PROPN
cana-3679	157	63	•	•	NUM
cana-3679	157	64	comparative	comparative	ADJ
cana-3679	157	65	model	model	NOUN
cana-3679	157	66	performance	performance	NOUN
cana-3679	157	67	insights	insight	NOUN
cana-3679	157	68	start	start	VERB
cana-3679	157	69	step	step	NOUN
cana-3679	157	70	1	1	NUM
cana-3679	157	71	:	:	PUNCT
cana-3679	157	72	initialization	initialization	NOUN
cana-3679	157	73	define	define	VERB
cana-3679	157	74	the	the	DET
cana-3679	157	75	model	model	NOUN
cana-3679	157	76	architecture	architecture	NOUN
cana-3679	157	77	:	:	PUNCT
cana-3679	157	78	cnn	cnn	PROPN
cana-3679	157	79	layers	layer	NOUN
cana-3679	157	80	for	for	ADP
cana-3679	157	81	spatial	spatial	ADJ
cana-3679	157	82	feature	feature	NOUN
cana-3679	157	83	extraction	extraction	NOUN
cana-3679	157	84	:	:	PUNCT
cana-3679	157	85	fspatial	fspatial	PROPN
cana-3679	157	86	=	=	SYM
cana-3679	157	87	σ	σ	PROPN
cana-3679	157	88	(	(	PUNCT
cana-3679	157	89	wcnn	wcnn	NOUN
cana-3679	157	90	∗	∗	NOUN
cana-3679	157	91	x	x	PROPN
cana-3679	158	1	+	+	CCONJ
cana-3679	158	2	bcnn	bcnn	PROPN
cana-3679	158	3	)	)	PUNCT
cana-3679	158	4	(	(	PUNCT
cana-3679	158	5	1	1	X
cana-3679	158	6	)	)	PUNCT
cana-3679	158	7	where	where	SCONJ
cana-3679	158	8	∗	∗	NOUN
cana-3679	158	9	denotes	denote	NOUN
cana-3679	158	10	convolution	convolution	NOUN
cana-3679	158	11	,	,	PUNCT
cana-3679	158	12	x	x	X
cana-3679	158	13	is	be	AUX
cana-3679	158	14	the	the	DET
cana-3679	158	15	input	input	NOUN
cana-3679	158	16	,	,	PUNCT
cana-3679	158	17	wcnn	wcnn	NOUN
cana-3679	158	18	and	and	CCONJ
cana-3679	158	19	bcnn	bcnn	PROPN
cana-3679	158	20	are	be	AUX
cana-3679	158	21	weights	weight	NOUN
cana-3679	158	22	and	and	CCONJ
cana-3679	158	23	biases	bias	NOUN
cana-3679	158	24	,	,	PUNCT
cana-3679	158	25	and	and	CCONJ
cana-3679	158	26	σ	σ	PROPN
cana-3679	158	27	is	be	AUX
cana-3679	158	28	the	the	DET
cana-3679	158	29	activation	activation	NOUN
cana-3679	158	30	function	function	NOUN
cana-3679	158	31	.	.	PUNCT
cana-3679	159	1	rnn	rnn	PROPN
cana-3679	159	2	or	or	CCONJ
cana-3679	159	3	lstm	lstm	NOUN
cana-3679	159	4	layers	layer	NOUN
cana-3679	159	5	for	for	ADP
cana-3679	159	6	temporal	temporal	ADJ
cana-3679	159	7	dependencies	dependency	NOUN
cana-3679	159	8	:	:	PUNCT
cana-3679	160	1	ht	ht	PROPN
cana-3679	160	2	=	=	PUNCT
cana-3679	161	1	f(whht−1	f(whht−1	PROPN
cana-3679	161	2	+	+	NUM
cana-3679	161	3	wxxt	wxxt	NOUN
cana-3679	161	4	+	+	CCONJ
cana-3679	161	5	bh	bh	NOUN
cana-3679	161	6	)	)	PUNCT
cana-3679	161	7	(	(	PUNCT
cana-3679	161	8	2	2	X
cana-3679	161	9	)	)	PUNCT
cana-3679	161	10	where	where	SCONJ
cana-3679	161	11	ht	ht	PROPN
cana-3679	161	12	is	be	AUX
cana-3679	161	13	the	the	DET
cana-3679	161	14	hidden	hidden	ADJ
cana-3679	161	15	state	state	NOUN
cana-3679	161	16	at	at	ADP
cana-3679	161	17	time	time	NOUN
cana-3679	161	18	t	t	PROPN
cana-3679	161	19	,	,	PUNCT
cana-3679	161	20	xt	xt	PROPN
cana-3679	161	21	is	be	AUX
cana-3679	161	22	input	input	NOUN
cana-3679	161	23	,	,	PUNCT
cana-3679	161	24	wh	wh	X
cana-3679	161	25	,	,	PUNCT
cana-3679	161	26	wx	wx	PROPN
cana-3679	161	27	,	,	PUNCT
cana-3679	161	28	bh	bh	PROPN
cana-3679	161	29	are	be	AUX
cana-3679	161	30	parameters	parameter	NOUN
cana-3679	161	31	.	.	PUNCT
cana-3679	162	1	set	set	VERB
cana-3679	162	2	hyperparameters	hyperparameter	NOUN
cana-3679	162	3	:	:	PUNCT
cana-3679	162	4	η	η	NOUN
cana-3679	162	5	,	,	PUNCT
cana-3679	162	6	l	l	PROPN
cana-3679	162	7	,	,	PUNCT
cana-3679	162	8	b	b	PROPN
cana-3679	162	9	,	,	PUNCT
cana-3679	162	10	σ(x	σ(x	PROPN
cana-3679	162	11	)	)	PUNCT
cana-3679	162	12	step	step	NOUN
cana-3679	162	13	2	2	NUM
cana-3679	162	14	:	:	PUNCT
cana-3679	162	15	data	data	NOUN
cana-3679	162	16	collection	collection	NOUN
cana-3679	162	17	and	and	CCONJ
cana-3679	162	18	integration	integration	NOUN
cana-3679	162	19	collect	collect	VERB
cana-3679	162	20	datasets	dataset	NOUN
cana-3679	162	21	:	:	PUNCT
cana-3679	162	22	d	d	X
cana-3679	162	23	=	=	PUNCT
cana-3679	162	24	{	{	PUNCT
cana-3679	162	25	s	s	PROPN
cana-3679	162	26	,	,	PUNCT
cana-3679	162	27	w	w	PROPN
cana-3679	162	28	,	,	PUNCT
cana-3679	162	29	p	p	X
cana-3679	162	30	,	,	PUNCT
cana-3679	162	31	c	c	NOUN
cana-3679	162	32	}	}	PUNCT
cana-3679	162	33	(	(	PUNCT
cana-3679	162	34	3	3	X
cana-3679	162	35	)	)	PUNCT
cana-3679	162	36	integrate	integrate	VERB
cana-3679	162	37	data	datum	NOUN
cana-3679	162	38	into	into	ADP
cana-3679	162	39	a	a	DET
cana-3679	162	40	unified	unified	ADJ
cana-3679	162	41	repository	repository	NOUN
cana-3679	162	42	drepo	drepo	NOUN
cana-3679	162	43	.	.	PUNCT
cana-3679	163	1	handle	handle	VERB
cana-3679	163	2	missing	miss	VERB
cana-3679	163	3	values	value	NOUN
cana-3679	163	4	using	use	VERB
cana-3679	163	5	interpolation	interpolation	NOUN
cana-3679	163	6	:	:	PUNCT
cana-3679	164	1	ximputed	ximpute	VERB
cana-3679	164	2	=	=	NOUN
cana-3679	164	3	𝛴𝜘=1	𝛴𝜘=1	NOUN
cana-3679	164	4	𝑛	𝑛	ADP
cana-3679	164	5	𝑥𝑖	𝑥𝑖	NUM
cana-3679	164	6	𝑛	𝑛	PROPN
cana-3679	164	7	(	(	PUNCT
cana-3679	164	8	4	4	X
cana-3679	164	9	)	)	PUNCT
cana-3679	164	10	normalize	normalize	VERB
cana-3679	164	11	data	datum	NOUN
cana-3679	164	12	:	:	PUNCT
cana-3679	164	13	xnormalized	xnormalize	VERB
cana-3679	164	14	=	=	NOUN
cana-3679	164	15	𝑥−𝜇	𝑥−𝜇	NUM
cana-3679	164	16	𝜎	𝜎	NOUN
cana-3679	164	17	(	(	PUNCT
cana-3679	164	18	5	5	NUM
cana-3679	164	19	)	)	PUNCT
cana-3679	164	20	perform	perform	VERB
cana-3679	164	21	feature	feature	NOUN
cana-3679	164	22	selection	selection	NOUN
cana-3679	164	23	using	use	VERB
cana-3679	164	24	correlation	correlation	NOUN
cana-3679	164	25	ρ(x	ρ(x	PROPN
cana-3679	164	26	,	,	PUNCT
cana-3679	164	27	y	y	NOUN
cana-3679	164	28	):	):	PUNCT
cana-3679	164	29	retain	retain	VERB
cana-3679	164	30	features	feature	VERB
cana-3679	164	31	f	f	PROPN
cana-3679	164	32	where	where	SCONJ
cana-3679	164	33	∣ρ∣	∣ρ∣	PROPN
cana-3679	164	34	>	>	X
cana-3679	164	35	threshold	threshold	NOUN
cana-3679	164	36	step	step	NOUN
cana-3679	164	37	4	4	NUM
cana-3679	164	38	:	:	PUNCT
cana-3679	164	39	split	split	VERB
cana-3679	164	40	data	datum	NOUN
cana-3679	164	41	partition	partition	NOUN
cana-3679	164	42	drepo	drepo	ADJ
cana-3679	164	43	into	into	ADP
cana-3679	164	44	:	:	PUNCT
cana-3679	164	45	dtrain	dtrain	NOUN
cana-3679	164	46	,	,	PUNCT
cana-3679	164	47	dval	dval	PROPN
cana-3679	164	48	,	,	PUNCT
cana-3679	164	49	dtest	dt	ADJ
cana-3679	164	50	(	(	PUNCT
cana-3679	164	51	6	6	NUM
cana-3679	164	52	)	)	PUNCT
cana-3679	164	53	step	step	NOUN
cana-3679	164	54	5	5	NUM
cana-3679	164	55	:	:	PUNCT
cana-3679	164	56	model	model	NOUN
cana-3679	164	57	training	training	NOUN
cana-3679	164	58	process	process	NOUN
cana-3679	164	59	training	training	NOUN
cana-3679	164	60	data	datum	NOUN
cana-3679	164	61	preparation	preparation	NOUN
cana-3679	164	62	:	:	PUNCT
cana-3679	164	63	split	split	VERB
cana-3679	164	64	dtrain	dtrain	NOUN
cana-3679	164	65	into	into	ADP
cana-3679	164	66	smaller	small	ADJ
cana-3679	164	67	batches	batch	NOUN
cana-3679	164	68	of	of	ADP
cana-3679	164	69	size	size	NOUN
cana-3679	164	70	b.	b.	PROPN
cana-3679	164	71	communications	communication	NOUN
cana-3679	164	72	on	on	ADP
cana-3679	164	73	applied	apply	VERB
cana-3679	164	74	nonlinear	nonlinear	ADJ
cana-3679	164	75	analysis	analysis	NOUN
cana-3679	164	76	issn	issn	NOUN
cana-3679	164	77	:	:	PUNCT
cana-3679	164	78	1074	1074	NUM
cana-3679	164	79	-	-	PUNCT
cana-3679	164	80	133x	133x	NUM
cana-3679	164	81	vol	vol	NOUN
cana-3679	164	82	32	32	NUM
cana-3679	164	83	no	no	NOUN
cana-3679	164	84	.	.	PUNCT
cana-3679	165	1	8s	8s	PROPN
cana-3679	165	2	(	(	PUNCT
cana-3679	165	3	2025	2025	NUM
cana-3679	165	4	)	)	PUNCT
cana-3679	165	5	337	337	NUM
cana-3679	165	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	165	7	compare	compare	NOUN
cana-3679	165	8	models	model	NOUN
cana-3679	165	9	m	m	VERB
cana-3679	165	10	∈	∈	PROPN
cana-3679	165	11	{	{	PUNCT
cana-3679	165	12	cnn	cnn	PROPN
cana-3679	165	13	,	,	PUNCT
cana-3679	165	14	lstm	lstm	PROPN
cana-3679	165	15	,	,	PUNCT
cana-3679	165	16	conv	conv	ADJ
cana-3679	165	17	-	-	PUNCT
cana-3679	165	18	lstm	lstm	PROPN
cana-3679	165	19	,	,	PUNCT
cana-3679	165	20	transformer}tm	transformer}tm	NOUN
cana-3679	165	21	,	,	PUNCT
cana-3679	165	22	transformer	transformer	NOUN
cana-3679	165	23	}	}	PUNCT
cana-3679	165	24	.	.	PUNCT
cana-3679	166	1	optimize	optimize	VERB
cana-3679	166	2	hyperparameters	hyperparameter	NOUN
cana-3679	166	3	for	for	ADP
cana-3679	166	4	each	each	DET
cana-3679	166	5	model	model	NOUN
cana-3679	166	6	to	to	PART
cana-3679	166	7	minimize	minimize	VERB
cana-3679	166	8	loss	loss	NOUN
cana-3679	166	9	l	l	NOUN
cana-3679	166	10	:	:	PUNCT
cana-3679	166	11	𝐿	𝐿	NOUN
cana-3679	166	12	=	=	SYM
cana-3679	166	13	1	1	NUM
cana-3679	166	14	𝑛	𝑛	PROPN
cana-3679	166	15	∑	∑	PROPN
cana-3679	166	16	(	(	PUNCT
cana-3679	166	17	�	�	PROPN
cana-3679	166	18	̂	̂	NOUN
cana-3679	166	19	�	�	NOUN
cana-3679	166	20	𝑖	𝑖	SYM
cana-3679	166	21	−	−	PROPN
cana-3679	166	22	𝑦𝑖	𝑦𝑖	PROPN
cana-3679	166	23	)	)	PUNCT
cana-3679	166	24	2𝑛	2𝑛	PROPN
cana-3679	167	1	𝑖=1	𝑖=1	PUNCT
cana-3679	167	2	(	(	PUNCT
cana-3679	167	3	7	7	X
cana-3679	167	4	)	)	PUNCT
cana-3679	167	5	step	step	NOUN
cana-3679	167	6	6	6	NUM
cana-3679	167	7	:	:	PUNCT
cana-3679	167	8	model	model	NOUN
cana-3679	167	9	evaluation	evaluation	NOUN
cana-3679	167	10	and	and	CCONJ
cana-3679	167	11	validation	validation	NOUN
cana-3679	167	12	compute	compute	NOUN
cana-3679	167	13	performance	performance	NOUN
cana-3679	167	14	metrics	metric	NOUN
cana-3679	167	15	for	for	ADP
cana-3679	167	16	each	each	DET
cana-3679	167	17	model	model	NOUN
cana-3679	167	18	mmm	mmm	PROPN
cana-3679	167	19	:	:	PUNCT
cana-3679	167	20	root	root	NOUN
cana-3679	167	21	mean	mean	VERB
cana-3679	167	22	square	square	ADJ
cana-3679	167	23	error	error	NOUN
cana-3679	167	24	(	(	PUNCT
cana-3679	167	25	rmse	rmse	NOUN
cana-3679	167	26	):	):	PUNCT
cana-3679	167	27	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
cana-3679	167	28	=	=	SYM
cana-3679	168	1	√	√	ADP
cana-3679	168	2	1	1	NUM
cana-3679	168	3	𝑛	𝑛	PRON
cana-3679	168	4	∑(	∑(	PROPN
cana-3679	168	5	�	�	PROPN
cana-3679	168	6	̂	̂	NOUN
cana-3679	168	7	�	�	NOUN
cana-3679	168	8	𝑖	𝑖	SYM
cana-3679	168	9	−	−	PROPN
cana-3679	168	10	𝑦𝑖	𝑦𝑖	PROPN
cana-3679	168	11	)	)	PUNCT
cana-3679	168	12	2	2	NUM
cana-3679	168	13	𝑛	𝑛	PRON
cana-3679	168	14	𝑖=1	𝑖=1	PROPN
cana-3679	168	15	(	(	PUNCT
cana-3679	168	16	8)	8)	NUM
cana-3679	168	17	mean	mean	VERB
cana-3679	168	18	absolute	absolute	ADJ
cana-3679	168	19	error	error	NOUN
cana-3679	168	20	(	(	PUNCT
cana-3679	168	21	mae	mae	PROPN
cana-3679	168	22	):	):	PUNCT
cana-3679	168	23	𝑀𝐴𝐸	𝑀𝐴𝐸	PROPN
cana-3679	168	24	=	=	SYM
cana-3679	168	25	1	1	NUM
cana-3679	168	26	𝑛	𝑛	PRON
cana-3679	168	27	∑	∑	VERB
cana-3679	168	28	|	|	NUM
cana-3679	168	29	�	�	PROPN
cana-3679	168	30	̂	̂	NOUN
cana-3679	168	31	�	�	NOUN
cana-3679	168	32	𝑖	𝑖	SYM
cana-3679	168	33	−	−	NOUN
cana-3679	168	34	𝑦𝑖|	𝑦𝑖|	ADV
cana-3679	168	35	𝑛	𝑛	PRON
cana-3679	168	36	𝑖=1	𝑖=1	PROPN
cana-3679	168	37	(	(	PUNCT
cana-3679	168	38	9	9	X
cana-3679	168	39	)	)	PUNCT
cana-3679	168	40	analyze	analyze	VERB
cana-3679	168	41	model	model	NOUN
cana-3679	168	42	interpretability	interpretability	NOUN
cana-3679	168	43	.	.	PUNCT
cana-3679	169	1	step	step	NOUN
cana-3679	169	2	7	7	NUM
cana-3679	169	3	:	:	PUNCT
cana-3679	169	4	prediction	prediction	NOUN
cana-3679	169	5	real	real	ADJ
cana-3679	169	6	-	-	PUNCT
cana-3679	169	7	time	time	NOUN
cana-3679	169	8	prediction	prediction	NOUN
cana-3679	169	9	using	use	VERB
cana-3679	169	10	the	the	DET
cana-3679	169	11	best	good	ADJ
cana-3679	169	12	model	model	NOUN
cana-3679	169	13	�	�	PROPN
cana-3679	169	14	̂	̂	VERB
cana-3679	169	15	�	�	PROPN
cana-3679	169	16	=	=	SYM
cana-3679	169	17	𝑀	𝑀	PROPN
cana-3679	169	18	∗	∗	NOUN
cana-3679	169	19	(	(	PUNCT
cana-3679	169	20	𝑋	𝑋	NOUN
cana-3679	169	21	)	)	PUNCT
cana-3679	169	22	(	(	PUNCT
cana-3679	169	23	10	10	NUM
cana-3679	169	24	)	)	PUNCT
cana-3679	169	25	visualization	visualization	NOUN
cana-3679	169	26	:	:	PUNCT
cana-3679	169	27	plot	plot	NOUN
cana-3679	169	28	predicted	predict	VERB
cana-3679	169	29	vs.	vs.	ADP
cana-3679	169	30	actual	actual	ADJ
cana-3679	169	31	m.	m.	NOUN
cana-3679	169	32	step	step	NOUN
cana-3679	169	33	8	8	NUM
cana-3679	169	34	:	:	PUNCT
cana-3679	169	35	post	post	ADJ
cana-3679	169	36	-	-	ADJ
cana-3679	169	37	processing	processing	ADJ
cana-3679	169	38	detect	detect	NOUN
cana-3679	169	39	anomalies	anomalie	VERB
cana-3679	169	40	a	a	PRON
cana-3679	169	41	:	:	PUNCT
cana-3679	169	42	a={x∣∣	a={x∣∣	VERB
cana-3679	169	43	𝑥	𝑥	DET
cana-3679	169	44	−	−	PRON
cana-3679	169	45	�	�	PROPN
cana-3679	169	46	̂	̂	NOUN
cana-3679	169	47	�	�	NOUN
cana-3679	169	48	∣	∣	ADJ
cana-3679	169	49	>	>	X
cana-3679	169	50	threshold	threshold	NOUN
cana-3679	169	51	}	}	PUNCT
cana-3679	169	52	}	}	PUNCT
cana-3679	169	53	(	(	PUNCT
cana-3679	169	54	11	11	NUM
cana-3679	169	55	)	)	PUNCT
cana-3679	169	56	generate	generate	NOUN
cana-3679	169	57	alerts	alert	NOUN
cana-3679	169	58	for	for	ADP
cana-3679	169	59	significant	significant	ADJ
cana-3679	169	60	deviations	deviation	NOUN
cana-3679	169	61	.	.	PUNCT
cana-3679	170	1	step	step	NOUN
cana-3679	170	2	9	9	NUM
cana-3679	170	3	:	:	PUNCT
cana-3679	170	4	deployment	deployment	NOUN
cana-3679	170	5	store	store	NOUN
cana-3679	170	6	model	model	NOUN
cana-3679	170	7	and	and	CCONJ
cana-3679	170	8	data	datum	NOUN
cana-3679	170	9	in	in	ADP
cana-3679	170	10	cloud	cloud	NOUN
cana-3679	170	11	storage	storage	NOUN
cana-3679	170	12	.	.	PUNCT
cana-3679	171	1	provide	provide	VERB
cana-3679	171	2	api	api	NOUN
cana-3679	171	3	integration	integration	NOUN
cana-3679	171	4	:	:	PUNCT
cana-3679	171	5	api	api	NOUN
cana-3679	171	6	(	(	PUNCT
cana-3679	171	7	m∗	m∗	PROPN
cana-3679	171	8	,	,	PUNCT
cana-3679	171	9	data	datum	NOUN
cana-3679	171	10	)	)	PUNCT
cana-3679	171	11	→	→	SYM
cana-3679	171	12	�	�	PROPN
cana-3679	171	13	̂	̂	SYM
cana-3679	171	14	�	�	PROPN
cana-3679	171	15	(	(	PUNCT
cana-3679	171	16	12	12	NUM
cana-3679	171	17	)	)	PUNCT
cana-3679	171	18	develop	develop	VERB
cana-3679	171	19	a	a	DET
cana-3679	171	20	user	user	NOUN
cana-3679	171	21	interface	interface	NOUN
cana-3679	171	22	for	for	ADP
cana-3679	171	23	visualization	visualization	NOUN
cana-3679	171	24	and	and	CCONJ
cana-3679	171	25	interaction	interaction	NOUN
cana-3679	171	26	.	.	PUNCT
cana-3679	172	1	end	end	NOUN
cana-3679	172	2	algorithm	algorithm	NOUN
cana-3679	172	3	4	4	NUM
cana-3679	172	4	.	.	PUNCT
cana-3679	172	5	result	result	VERB
cana-3679	172	6	the	the	DET
cana-3679	172	7	results	result	NOUN
cana-3679	172	8	of	of	ADP
cana-3679	172	9	this	this	DET
cana-3679	172	10	study	study	NOUN
cana-3679	172	11	highlight	highlight	VERB
cana-3679	172	12	the	the	DET
cana-3679	172	13	efficacy	efficacy	NOUN
cana-3679	172	14	of	of	ADP
cana-3679	172	15	various	various	ADJ
cana-3679	172	16	deep	deep	ADJ
cana-3679	172	17	learning	learning	NOUN
cana-3679	172	18	models	model	NOUN
cana-3679	172	19	in	in	ADP
cana-3679	172	20	accurately	accurately	ADV
cana-3679	172	21	predicting	predict	VERB
cana-3679	172	22	soil	soil	NOUN
cana-3679	172	23	moisture	moisture	NOUN
cana-3679	172	24	levels	level	NOUN
cana-3679	172	25	,	,	PUNCT
cana-3679	172	26	leveraging	leverage	VERB
cana-3679	172	27	multi	multi	ADJ
cana-3679	172	28	-	-	NOUN
cana-3679	172	29	source	source	NOUN
cana-3679	172	30	datasets	dataset	NOUN
cana-3679	172	31	including	include	VERB
cana-3679	172	32	remote	remote	ADJ
cana-3679	172	33	sensing	sense	VERB
cana-3679	172	34	imagery	imagery	NOUN
cana-3679	172	35	,	,	PUNCT
cana-3679	172	36	in	in	ADP
cana-3679	172	37	-	-	PUNCT
cana-3679	172	38	situ	situ	NOUN
cana-3679	172	39	sensor	sensor	NOUN
cana-3679	172	40	readings	reading	NOUN
cana-3679	172	41	,	,	PUNCT
cana-3679	172	42	and	and	CCONJ
cana-3679	172	43	meteorological	meteorological	ADJ
cana-3679	172	44	data	datum	NOUN
cana-3679	172	45	.	.	PUNCT
cana-3679	173	1	the	the	DET
cana-3679	173	2	findings	finding	NOUN
cana-3679	173	3	are	be	AUX
cana-3679	173	4	summarized	summarize	VERB
cana-3679	173	5	as	as	SCONJ
cana-3679	173	6	follows	follow	VERB
cana-3679	173	7	:	:	PUNCT
cana-3679	173	8	model	model	NOUN
cana-3679	173	9	performance	performance	NOUN
cana-3679	173	10	:	:	PUNCT
cana-3679	173	11	the	the	DET
cana-3679	173	12	transformer	transformer	NOUN
cana-3679	173	13	model	model	NOUN
cana-3679	173	14	demonstrated	demonstrate	VERB
cana-3679	173	15	superior	superior	ADJ
cana-3679	173	16	accuracy	accuracy	NOUN
cana-3679	173	17	with	with	ADP
cana-3679	173	18	the	the	DET
cana-3679	173	19	lowest	low	ADJ
cana-3679	173	20	root	root	NOUN
cana-3679	173	21	mean	mean	ADJ
cana-3679	173	22	square	square	ADJ
cana-3679	173	23	error	error	NOUN
cana-3679	173	24	(	(	PUNCT
cana-3679	173	25	rmse	rmse	NOUN
cana-3679	173	26	)	)	PUNCT
cana-3679	173	27	of	of	ADP
cana-3679	173	28	0.042	0.042	NUM
cana-3679	173	29	and	and	CCONJ
cana-3679	173	30	mean	mean	VERB
cana-3679	173	31	absolute	absolute	ADJ
cana-3679	173	32	error	error	NOUN
cana-3679	173	33	(	(	PUNCT
cana-3679	173	34	mae	mae	PROPN
cana-3679	173	35	)	)	PUNCT
cana-3679	173	36	of	of	ADP
cana-3679	173	37	0.035	0.035	NUM
cana-3679	173	38	across	across	ADP
cana-3679	173	39	diverse	diverse	ADJ
cana-3679	173	40	test	test	NOUN
cana-3679	173	41	scenarios	scenario	NOUN
cana-3679	173	42	,	,	PUNCT
cana-3679	173	43	outperforming	outperform	VERB
cana-3679	173	44	other	other	ADJ
cana-3679	173	45	architectures	architecture	NOUN
cana-3679	173	46	.	.	PUNCT
cana-3679	174	1	conv	conv	ADJ
cana-3679	174	2	-	-	PUNCT
cana-3679	174	3	lstm	lstm	PROPN
cana-3679	174	4	achieved	achieve	VERB
cana-3679	174	5	competitive	competitive	ADJ
cana-3679	174	6	results	result	NOUN
cana-3679	174	7	,	,	PUNCT
cana-3679	174	8	with	with	SCONJ
cana-3679	174	9	rmse	rmse	NOUN
cana-3679	174	10	and	and	CCONJ
cana-3679	174	11	mae	mae	PROPN
cana-3679	174	12	values	value	NOUN
cana-3679	174	13	marginally	marginally	ADV
cana-3679	174	14	higher	high	ADJ
cana-3679	174	15	than	than	ADP
cana-3679	174	16	the	the	DET
cana-3679	174	17	transformer	transformer	NOUN
cana-3679	174	18	but	but	CCONJ
cana-3679	174	19	better	well	ADJ
cana-3679	174	20	than	than	ADP
cana-3679	174	21	standalone	standalone	ADJ
cana-3679	174	22	cnn	cnn	PROPN
cana-3679	174	23	and	and	CCONJ
cana-3679	174	24	lstm	lstm	NOUN
cana-3679	174	25	models	model	NOUN
cana-3679	174	26	.	.	PUNCT
cana-3679	175	1	cnn	cnn	PROPN
cana-3679	175	2	and	and	CCONJ
cana-3679	175	3	lstm	lstm	NOUN
cana-3679	175	4	models	model	NOUN
cana-3679	175	5	showed	show	VERB
cana-3679	175	6	acceptable	acceptable	ADJ
cana-3679	175	7	performance	performance	NOUN
cana-3679	175	8	but	but	CCONJ
cana-3679	175	9	were	be	AUX
cana-3679	175	10	less	less	ADV
cana-3679	175	11	effective	effective	ADJ
cana-3679	175	12	in	in	ADP
cana-3679	175	13	capturing	capture	VERB
cana-3679	175	14	spatiotemporal	spatiotemporal	ADJ
cana-3679	175	15	dependencies	dependency	NOUN
cana-3679	175	16	compared	compare	VERB
cana-3679	175	17	to	to	ADP
cana-3679	175	18	conv	conv	ADJ
cana-3679	175	19	-	-	PUNCT
cana-3679	175	20	lstm	lstm	ADJ
cana-3679	175	21	and	and	CCONJ
cana-3679	175	22	transformer	transformer	NOUN
cana-3679	175	23	models	model	NOUN
cana-3679	175	24	.	.	PUNCT
cana-3679	176	1	communications	communication	NOUN
cana-3679	176	2	on	on	ADP
cana-3679	176	3	applied	apply	VERB
cana-3679	176	4	nonlinear	nonlinear	ADJ
cana-3679	176	5	analysis	analysis	NOUN
cana-3679	176	6	issn	issn	NOUN
cana-3679	176	7	:	:	PUNCT
cana-3679	176	8	1074	1074	NUM
cana-3679	176	9	-	-	PUNCT
cana-3679	176	10	133x	133x	NUM
cana-3679	176	11	vol	vol	NOUN
cana-3679	176	12	32	32	NUM
cana-3679	176	13	no	no	NOUN
cana-3679	176	14	.	.	PUNCT
cana-3679	177	1	8s	8s	PROPN
cana-3679	177	2	(	(	PUNCT
cana-3679	177	3	2025	2025	NUM
cana-3679	177	4	)	)	PUNCT
cana-3679	177	5	338	338	NUM
cana-3679	177	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	177	7	impact	impact	NOUN
cana-3679	177	8	of	of	ADP
cana-3679	177	9	data	datum	NOUN
cana-3679	177	10	integration	integration	NOUN
cana-3679	177	11	:	:	PUNCT
cana-3679	177	12	the	the	DET
cana-3679	177	13	integration	integration	NOUN
cana-3679	177	14	of	of	ADP
cana-3679	177	15	remote	remote	ADJ
cana-3679	177	16	sensing	sensing	NOUN
cana-3679	177	17	,	,	PUNCT
cana-3679	177	18	in	in	ADP
cana-3679	177	19	-	-	PUNCT
cana-3679	177	20	situ	situ	NOUN
cana-3679	177	21	sensor	sensor	NOUN
cana-3679	177	22	,	,	PUNCT
cana-3679	177	23	and	and	CCONJ
cana-3679	177	24	meteorological	meteorological	ADJ
cana-3679	177	25	data	datum	NOUN
cana-3679	177	26	significantly	significantly	ADV
cana-3679	177	27	enhanced	enhance	VERB
cana-3679	177	28	prediction	prediction	NOUN
cana-3679	177	29	accuracy	accuracy	NOUN
cana-3679	177	30	.	.	PUNCT
cana-3679	178	1	models	model	NOUN
cana-3679	178	2	trained	train	VERB
cana-3679	178	3	on	on	ADP
cana-3679	178	4	multi	multi	ADJ
cana-3679	178	5	-	-	ADJ
cana-3679	178	6	source	source	NOUN
cana-3679	178	7	datasets	dataset	NOUN
cana-3679	178	8	achieved	achieve	VERB
cana-3679	178	9	a	a	DET
cana-3679	178	10	1218	1218	NUM
cana-3679	178	11	%	%	NOUN
cana-3679	178	12	improvement	improvement	NOUN
cana-3679	178	13	in	in	ADP
cana-3679	178	14	rmse	rmse	NOUN
cana-3679	178	15	and	and	CCONJ
cana-3679	178	16	mae	mae	PROPN
cana-3679	178	17	compared	compare	VERB
cana-3679	178	18	to	to	ADP
cana-3679	178	19	models	model	NOUN
cana-3679	178	20	trained	train	VERB
cana-3679	178	21	on	on	ADP
cana-3679	178	22	single	single	ADJ
cana-3679	178	23	-	-	PUNCT
cana-3679	178	24	source	source	NOUN
cana-3679	178	25	datasets	dataset	NOUN
cana-3679	178	26	.	.	PUNCT
cana-3679	179	1	hyperparameter	hyperparameter	NOUN
cana-3679	179	2	optimization	optimization	NOUN
cana-3679	179	3	:	:	PUNCT
cana-3679	179	4	fine	fine	ADJ
cana-3679	179	5	-	-	PUNCT
cana-3679	179	6	tuning	tune	VERB
cana-3679	179	7	hyperparameters	hyperparameter	NOUN
cana-3679	179	8	such	such	ADJ
cana-3679	179	9	as	as	ADP
cana-3679	179	10	learning	learn	VERB
cana-3679	179	11	rate	rate	NOUN
cana-3679	179	12	,	,	PUNCT
cana-3679	179	13	batch	batch	NOUN
cana-3679	179	14	size	size	NOUN
cana-3679	179	15	,	,	PUNCT
cana-3679	179	16	and	and	CCONJ
cana-3679	179	17	the	the	DET
cana-3679	179	18	number	number	NOUN
cana-3679	179	19	of	of	ADP
cana-3679	179	20	layers	layer	NOUN
cana-3679	179	21	substantially	substantially	ADV
cana-3679	179	22	improved	improve	VERB
cana-3679	179	23	model	model	NOUN
cana-3679	179	24	performance	performance	NOUN
cana-3679	179	25	.	.	PUNCT
cana-3679	180	1	optimal	optimal	ADJ
cana-3679	180	2	configurations	configuration	NOUN
cana-3679	180	3	reduced	reduce	VERB
cana-3679	180	4	training	training	NOUN
cana-3679	180	5	time	time	NOUN
cana-3679	180	6	by	by	ADP
cana-3679	180	7	15	15	NUM
cana-3679	180	8	%	%	NOUN
cana-3679	180	9	and	and	CCONJ
cana-3679	180	10	boosted	boost	VERB
cana-3679	180	11	accuracy	accuracy	NOUN
cana-3679	180	12	by	by	ADP
cana-3679	180	13	approximately	approximately	ADV
cana-3679	180	14	8	8	NUM
cana-3679	180	15	%	%	NOUN
cana-3679	180	16	.	.	PUNCT
cana-3679	181	1	model	model	NOUN
cana-3679	181	2	interpretability	interpretability	NOUN
cana-3679	181	3	:	:	PUNCT
cana-3679	181	4	sensitivity	sensitivity	NOUN
cana-3679	181	5	analysis	analysis	NOUN
cana-3679	181	6	revealed	reveal	VERB
cana-3679	181	7	that	that	SCONJ
cana-3679	181	8	meteorological	meteorological	ADJ
cana-3679	181	9	parameters	parameter	NOUN
cana-3679	181	10	like	like	ADP
cana-3679	181	11	precipitation	precipitation	NOUN
cana-3679	181	12	and	and	CCONJ
cana-3679	181	13	temperature	temperature	NOUN
cana-3679	181	14	were	be	AUX
cana-3679	181	15	highly	highly	ADV
cana-3679	181	16	correlated	correlate	VERB
cana-3679	181	17	with	with	ADP
cana-3679	181	18	soil	soil	NOUN
cana-3679	181	19	moisture	moisture	NOUN
cana-3679	181	20	variations	variation	NOUN
cana-3679	181	21	,	,	PUNCT
cana-3679	181	22	followed	follow	VERB
cana-3679	181	23	by	by	ADP
cana-3679	181	24	remote	remote	ADJ
cana-3679	181	25	sensingderived	sensingderived	ADJ
cana-3679	181	26	vegetation	vegetation	NOUN
cana-3679	181	27	indices	index	NOUN
cana-3679	181	28	.	.	PUNCT
cana-3679	182	1	grad	grad	NOUN
cana-3679	182	2	-	-	PUNCT
cana-3679	182	3	cam	cam	NOUN
cana-3679	182	4	visualizations	visualization	NOUN
cana-3679	182	5	for	for	ADP
cana-3679	182	6	cnn	cnn	PROPN
cana-3679	182	7	-	-	PUNCT
cana-3679	182	8	based	base	VERB
cana-3679	182	9	models	model	NOUN
cana-3679	182	10	confirmed	confirm	VERB
cana-3679	182	11	that	that	SCONJ
cana-3679	182	12	spatial	spatial	ADJ
cana-3679	182	13	features	feature	NOUN
cana-3679	182	14	such	such	ADJ
cana-3679	182	15	as	as	ADP
cana-3679	182	16	land	land	NOUN
cana-3679	182	17	cover	cover	NOUN
cana-3679	182	18	and	and	CCONJ
cana-3679	182	19	topography	topography	NOUN
cana-3679	182	20	were	be	AUX
cana-3679	182	21	critical	critical	ADJ
cana-3679	182	22	in	in	ADP
cana-3679	182	23	predictions	prediction	NOUN
cana-3679	182	24	.	.	PUNCT
cana-3679	183	1	real	real	ADJ
cana-3679	183	2	-	-	PUNCT
cana-3679	183	3	time	time	NOUN
cana-3679	183	4	prediction	prediction	NOUN
cana-3679	183	5	and	and	CCONJ
cana-3679	183	6	deployment	deployment	NOUN
cana-3679	183	7	:	:	PUNCT
cana-3679	183	8	the	the	DET
cana-3679	183	9	best	well	ADV
cana-3679	183	10	-	-	PUNCT
cana-3679	183	11	performing	perform	VERB
cana-3679	183	12	transformer	transformer	NOUN
cana-3679	183	13	model	model	NOUN
cana-3679	183	14	was	be	AUX
cana-3679	183	15	successfully	successfully	ADV
cana-3679	183	16	deployed	deploy	VERB
cana-3679	183	17	in	in	ADP
cana-3679	183	18	a	a	DET
cana-3679	183	19	cloud	cloud	NOUN
cana-3679	183	20	-	-	PUNCT
cana-3679	183	21	based	base	VERB
cana-3679	183	22	environment	environment	NOUN
cana-3679	183	23	with	with	ADP
cana-3679	183	24	real	real	ADJ
cana-3679	183	25	-	-	PUNCT
cana-3679	183	26	time	time	NOUN
cana-3679	183	27	prediction	prediction	NOUN
cana-3679	183	28	capability	capability	NOUN
cana-3679	183	29	.	.	PUNCT
cana-3679	184	1	the	the	DET
cana-3679	184	2	system	system	NOUN
cana-3679	184	3	provided	provide	VERB
cana-3679	184	4	predictions	prediction	NOUN
cana-3679	184	5	within	within	ADP
cana-3679	184	6	5	5	NUM
cana-3679	184	7	seconds	second	NOUN
cana-3679	184	8	of	of	ADP
cana-3679	184	9	data	datum	NOUN
cana-3679	184	10	input	input	NOUN
cana-3679	184	11	and	and	CCONJ
cana-3679	184	12	exhibited	exhibit	VERB
cana-3679	184	13	robust	robust	ADJ
cana-3679	184	14	scalability	scalability	NOUN
cana-3679	184	15	under	under	ADP
cana-3679	184	16	varying	vary	VERB
cana-3679	184	17	data	datum	NOUN
cana-3679	184	18	loads	load	NOUN
cana-3679	184	19	.	.	PUNCT
cana-3679	185	1	anomaly	anomaly	NOUN
cana-3679	185	2	detection	detection	NOUN
cana-3679	185	3	and	and	CCONJ
cana-3679	185	4	alerts	alert	NOUN
cana-3679	185	5	:	:	PUNCT
cana-3679	185	6	the	the	DET
cana-3679	185	7	implemented	implement	VERB
cana-3679	185	8	anomaly	anomaly	NOUN
cana-3679	185	9	detection	detection	NOUN
cana-3679	185	10	mechanism	mechanism	NOUN
cana-3679	185	11	accurately	accurately	ADV
cana-3679	185	12	identified	identify	VERB
cana-3679	185	13	significant	significant	ADJ
cana-3679	185	14	deviations	deviation	NOUN
cana-3679	185	15	in	in	ADP
cana-3679	185	16	soil	soil	NOUN
cana-3679	185	17	moisture	moisture	NOUN
cana-3679	185	18	levels	level	NOUN
cana-3679	185	19	.	.	PUNCT
cana-3679	186	1	alerts	alert	NOUN
cana-3679	186	2	were	be	AUX
cana-3679	186	3	generated	generate	VERB
cana-3679	186	4	with	with	ADP
cana-3679	186	5	a	a	DET
cana-3679	186	6	96	96	NUM
cana-3679	186	7	%	%	NOUN
cana-3679	186	8	accuracy	accuracy	NOUN
cana-3679	186	9	rate	rate	NOUN
cana-3679	186	10	,	,	PUNCT
cana-3679	186	11	ensuring	ensure	VERB
cana-3679	186	12	timely	timely	ADJ
cana-3679	186	13	interventions	intervention	NOUN
cana-3679	186	14	for	for	ADP
cana-3679	186	15	agricultural	agricultural	ADJ
cana-3679	186	16	management	management	NOUN
cana-3679	186	17	and	and	CCONJ
cana-3679	186	18	water	water	NOUN
cana-3679	186	19	resource	resource	NOUN
cana-3679	186	20	planning	planning	NOUN
cana-3679	186	21	.	.	PUNCT
cana-3679	187	1	visualization	visualization	NOUN
cana-3679	187	2	and	and	CCONJ
cana-3679	187	3	user	user	NOUN
cana-3679	187	4	interface	interface	NOUN
cana-3679	187	5	:	:	PUNCT
cana-3679	187	6	comparative	comparative	ADJ
cana-3679	187	7	visualizations	visualization	NOUN
cana-3679	187	8	of	of	ADP
cana-3679	187	9	predicted	predict	VERB
cana-3679	187	10	vs.	vs.	ADP
cana-3679	187	11	actual	actual	ADJ
cana-3679	187	12	soil	soil	NOUN
cana-3679	187	13	moisture	moisture	NOUN
cana-3679	187	14	levels	level	NOUN
cana-3679	187	15	demonstrated	demonstrate	VERB
cana-3679	187	16	strong	strong	ADJ
cana-3679	187	17	alignment	alignment	NOUN
cana-3679	187	18	,	,	PUNCT
cana-3679	187	19	particularly	particularly	ADV
cana-3679	187	20	in	in	ADP
cana-3679	187	21	regions	region	NOUN
cana-3679	187	22	with	with	ADP
cana-3679	187	23	consistent	consistent	ADJ
cana-3679	187	24	meteorological	meteorological	ADJ
cana-3679	187	25	patterns	pattern	NOUN
cana-3679	187	26	.	.	PUNCT
cana-3679	188	1	the	the	DET
cana-3679	188	2	user	user	NOUN
cana-3679	188	3	interface	interface	NOUN
cana-3679	188	4	enabled	enable	VERB
cana-3679	188	5	intuitive	intuitive	ADJ
cana-3679	188	6	interaction	interaction	NOUN
cana-3679	188	7	with	with	ADP
cana-3679	188	8	model	model	NOUN
cana-3679	188	9	predictions	prediction	NOUN
cana-3679	188	10	and	and	CCONJ
cana-3679	188	11	anomaly	anomaly	NOUN
cana-3679	188	12	insights	insight	NOUN
cana-3679	188	13	.	.	PUNCT
cana-3679	189	1	the	the	DET
cana-3679	189	2	results	result	NOUN
cana-3679	189	3	validate	validate	VERB
cana-3679	189	4	the	the	DET
cana-3679	189	5	applicability	applicability	NOUN
cana-3679	189	6	of	of	ADP
cana-3679	189	7	deep	deep	ADJ
cana-3679	189	8	learning	learning	NOUN
cana-3679	189	9	models	model	NOUN
cana-3679	189	10	,	,	PUNCT
cana-3679	189	11	particularly	particularly	ADV
cana-3679	189	12	transformer	transformer	NOUN
cana-3679	189	13	and	and	CCONJ
cana-3679	189	14	convlstm	convlstm	NOUN
cana-3679	189	15	architectures	architecture	NOUN
cana-3679	189	16	,	,	PUNCT
cana-3679	189	17	for	for	ADP
cana-3679	189	18	soil	soil	NOUN
cana-3679	189	19	moisture	moisture	NOUN
cana-3679	189	20	prediction	prediction	NOUN
cana-3679	189	21	.	.	PUNCT
cana-3679	190	1	these	these	DET
cana-3679	190	2	findings	finding	NOUN
cana-3679	190	3	underscore	underscore	VERB
cana-3679	190	4	the	the	DET
cana-3679	190	5	potential	potential	NOUN
cana-3679	190	6	of	of	ADP
cana-3679	190	7	integrated	integrated	ADJ
cana-3679	190	8	data	data	NOUN
cana-3679	190	9	-	-	PUNCT
cana-3679	190	10	driven	drive	VERB
cana-3679	190	11	approaches	approach	NOUN
cana-3679	190	12	in	in	ADP
cana-3679	190	13	enhancing	enhance	VERB
cana-3679	190	14	agricultural	agricultural	ADJ
cana-3679	190	15	productivity	productivity	NOUN
cana-3679	190	16	,	,	PUNCT
cana-3679	190	17	water	water	NOUN
cana-3679	190	18	management	management	NOUN
cana-3679	190	19	,	,	PUNCT
cana-3679	190	20	and	and	CCONJ
cana-3679	190	21	climate	climate	PROPN
cana-3679	190	22	resilience.[28	resilience.[28	PROPN
cana-3679	190	23	]	]	PUNCT
cana-3679	190	24	table	table	NOUN
cana-3679	190	25	1	1	NUM
cana-3679	190	26	.	.	PUNCT
cana-3679	190	27	model	model	NOUN
cana-3679	190	28	performance	performance	NOUN
cana-3679	190	29	,	,	PUNCT
cana-3679	190	30	system	system	NOUN
cana-3679	190	31	implementation	implementation	NOUN
cana-3679	190	32	,	,	PUNCT
cana-3679	190	33	and	and	CCONJ
cana-3679	190	34	interpretability	interpretability	NOUN
cana-3679	190	35	insights	insight	NOUN
cana-3679	190	36	.	.	PUNCT
cana-3679	191	1	category	category	NOUN
cana-3679	191	2	metric	metric	ADJ
cana-3679	191	3	/	/	SYM
cana-3679	191	4	outcome	outcome	NOUN
cana-3679	191	5	observations	observation	NOUN
cana-3679	191	6	model	model	NOUN
cana-3679	191	7	performance	performance	NOUN
cana-3679	191	8	rmse	rmse	PROPN
cana-3679	191	9	transformer	transformer	NOUN
cana-3679	191	10	:	:	PUNCT
cana-3679	191	11	rmse	rmse	PROPN
cana-3679	191	12	=	=	PROPN
cana-3679	191	13	0.042	0.042	NUM
cana-3679	191	14	,	,	PUNCT
cana-3679	191	15	mae	mae	PROPN
cana-3679	191	16	=	=	PROPN
cana-3679	191	17	0.035	0.035	NUM
cana-3679	191	18	conv	conv	ADJ
cana-3679	191	19	-	-	PUNCT
cana-3679	191	20	lstm	lstm	NOUN
cana-3679	191	21	:	:	PUNCT
cana-3679	191	22	rmse	rmse	PROPN
cana-3679	191	23	=	=	PROPN
cana-3679	191	24	0.048	0.048	NUM
cana-3679	191	25	,	,	PUNCT
cana-3679	191	26	mae	mae	PROPN
cana-3679	191	27	=	=	PROPN
cana-3679	191	28	0.039	0.039	NUM
cana-3679	191	29	mae	mae	PROPN
cana-3679	191	30	cnn	cnn	PROPN
cana-3679	191	31	:	:	PUNCT
cana-3679	191	32	rmse	rmse	PROPN
cana-3679	191	33	=	=	PROPN
cana-3679	191	34	0.065	0.065	NUM
cana-3679	191	35	,	,	PUNCT
cana-3679	191	36	mae	mae	PROPN
cana-3679	191	37	=	=	PROPN
cana-3679	191	38	0.053	0.053	NUM
cana-3679	191	39	lstm	lstm	NOUN
cana-3679	191	40	:	:	PUNCT
cana-3679	191	41	rmse	rmse	PROPN
cana-3679	191	42	=	=	SYM
cana-3679	191	43	0.061	0.061	NUM
cana-3679	191	44	,	,	PUNCT
cana-3679	191	45	mae	mae	PROPN
cana-3679	191	46	=	=	PROPN
cana-3679	191	47	0.049	0.049	NUM
cana-3679	191	48	data	datum	NOUN
cana-3679	191	49	integration	integration	NOUN
cana-3679	191	50	performance	performance	NOUN
cana-3679	191	51	improvement	improvement	NOUN
cana-3679	191	52	multi	multi	ADJ
cana-3679	191	53	-	-	ADJ
cana-3679	191	54	source	source	NOUN
cana-3679	191	55	data	datum	NOUN
cana-3679	191	56	enhanced	enhance	VERB
cana-3679	191	57	accuracy	accuracy	NOUN
cana-3679	191	58	by	by	ADP
cana-3679	191	59	1218	1218	NUM
cana-3679	191	60	%	%	NOUN
cana-3679	191	61	compared	compare	VERB
cana-3679	191	62	to	to	ADP
cana-3679	191	63	single	single	ADJ
cana-3679	191	64	-	-	PUNCT
cana-3679	191	65	source	source	NOUN
cana-3679	191	66	data	datum	NOUN
cana-3679	191	67	.	.	PUNCT
cana-3679	192	1	hyperparameter	hyperparameter	NOUN
cana-3679	192	2	optimization	optimization	NOUN
cana-3679	192	3	training	training	NOUN
cana-3679	192	4	efficiency	efficiency	NOUN
cana-3679	192	5	optimal	optimal	ADJ
cana-3679	192	6	configurations	configuration	NOUN
cana-3679	192	7	reduced	reduce	VERB
cana-3679	192	8	training	training	NOUN
cana-3679	192	9	time	time	NOUN
cana-3679	192	10	by	by	ADP
cana-3679	192	11	15	15	NUM
cana-3679	192	12	%	%	NOUN
cana-3679	192	13	and	and	CCONJ
cana-3679	192	14	improved	improved	ADJ
cana-3679	192	15	accuracy	accuracy	NOUN
cana-3679	192	16	by	by	ADP
cana-3679	192	17	8	8	NUM
cana-3679	192	18	%	%	NOUN
cana-3679	192	19	.	.	PUNCT
cana-3679	193	1	model	model	NOUN
cana-3679	193	2	interpretability	interpretability	NOUN
cana-3679	193	3	feature	feature	NOUN
cana-3679	193	4	importance	importance	NOUN
cana-3679	193	5	meteorological	meteorological	ADJ
cana-3679	193	6	parameters	parameter	NOUN
cana-3679	193	7	(	(	PUNCT
cana-3679	193	8	e.g.	e.g.	ADV
cana-3679	193	9	,	,	PUNCT
cana-3679	193	10	precipitation	precipitation	NOUN
cana-3679	193	11	,	,	PUNCT
cana-3679	193	12	temperature	temperature	NOUN
cana-3679	193	13	)	)	PUNCT
cana-3679	193	14	most	most	ADV
cana-3679	193	15	significant	significant	ADJ
cana-3679	193	16	.	.	PUNCT
cana-3679	194	1	remote	remote	ADJ
cana-3679	194	2	sensing	sense	VERB
cana-3679	194	3	indices	index	NOUN
cana-3679	194	4	(	(	PUNCT
cana-3679	194	5	e.g.	e.g.	ADV
cana-3679	194	6	,	,	PUNCT
cana-3679	194	7	vegetation	vegetation	NOUN
cana-3679	194	8	)	)	PUNCT
cana-3679	194	9	and	and	CCONJ
cana-3679	194	10	spatial	spatial	ADJ
cana-3679	194	11	features	feature	NOUN
cana-3679	194	12	(	(	PUNCT
cana-3679	194	13	e.g.	e.g.	ADV
cana-3679	194	14	,	,	PUNCT
cana-3679	194	15	topography	topography	NOUN
cana-3679	194	16	)	)	PUNCT
cana-3679	194	17	were	be	AUX
cana-3679	194	18	critical	critical	ADJ
cana-3679	194	19	.	.	PUNCT
cana-3679	195	1	real	real	ADJ
cana-3679	195	2	-	-	PUNCT
cana-3679	195	3	time	time	NOUN
cana-3679	195	4	prediction	prediction	NOUN
cana-3679	195	5	prediction	prediction	NOUN
cana-3679	195	6	latency	latency	NOUN
cana-3679	195	7	predictions	prediction	NOUN
cana-3679	195	8	generated	generate	VERB
cana-3679	195	9	within	within	ADP
cana-3679	195	10	5	5	NUM
cana-3679	195	11	seconds	second	NOUN
cana-3679	195	12	in	in	ADP
cana-3679	195	13	realtime	realtime	NOUN
cana-3679	195	14	applications	application	NOUN
cana-3679	195	15	.	.	PUNCT
cana-3679	196	1	deployment	deployment	NOUN
cana-3679	196	2	scalability	scalability	NOUN
cana-3679	196	3	deployed	deploy	VERB
cana-3679	196	4	system	system	NOUN
cana-3679	196	5	demonstrated	demonstrate	VERB
cana-3679	196	6	robust	robust	ADJ
cana-3679	196	7	scalability	scalability	NOUN
cana-3679	196	8	with	with	ADP
cana-3679	196	9	consistent	consistent	ADJ
cana-3679	196	10	performance	performance	NOUN
cana-3679	196	11	under	under	ADP
cana-3679	196	12	varying	vary	VERB
cana-3679	196	13	data	datum	NOUN
cana-3679	196	14	loads	load	NOUN
cana-3679	196	15	.	.	PUNCT
cana-3679	197	1	communications	communication	NOUN
cana-3679	197	2	on	on	ADP
cana-3679	197	3	applied	apply	VERB
cana-3679	197	4	nonlinear	nonlinear	ADJ
cana-3679	197	5	analysis	analysis	NOUN
cana-3679	197	6	issn	issn	NOUN
cana-3679	197	7	:	:	PUNCT
cana-3679	197	8	1074	1074	NUM
cana-3679	197	9	-	-	PUNCT
cana-3679	197	10	133x	133x	NUM
cana-3679	197	11	vol	vol	NOUN
cana-3679	197	12	32	32	NUM
cana-3679	197	13	no	no	NOUN
cana-3679	197	14	.	.	PUNCT
cana-3679	198	1	8s	8s	PROPN
cana-3679	198	2	(	(	PUNCT
cana-3679	198	3	2025	2025	NUM
cana-3679	198	4	)	)	PUNCT
cana-3679	198	5	339	339	NUM
cana-3679	198	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	198	7	anomaly	anomaly	NOUN
cana-3679	198	8	detection	detection	NOUN
cana-3679	198	9	accuracy	accuracy	NOUN
cana-3679	198	10	of	of	ADP
cana-3679	198	11	alerts	alert	NOUN
cana-3679	198	12	anomaly	anomaly	NOUN
cana-3679	198	13	detection	detection	NOUN
cana-3679	198	14	achieved	achieve	VERB
cana-3679	198	15	96	96	NUM
cana-3679	198	16	%	%	NOUN
cana-3679	198	17	accuracy	accuracy	NOUN
cana-3679	198	18	in	in	ADP
cana-3679	198	19	identifying	identify	VERB
cana-3679	198	20	significant	significant	ADJ
cana-3679	198	21	deviations	deviation	NOUN
cana-3679	198	22	.	.	PUNCT
cana-3679	199	1	visualization	visualization	NOUN
cana-3679	199	2	alignment	alignment	NOUN
cana-3679	199	3	of	of	ADP
cana-3679	199	4	predictions	prediction	NOUN
cana-3679	199	5	predicted	predict	VERB
cana-3679	199	6	vs.	vs.	ADP
cana-3679	199	7	actual	actual	ADJ
cana-3679	199	8	soil	soil	NOUN
cana-3679	199	9	moisture	moisture	NOUN
cana-3679	199	10	levels	level	NOUN
cana-3679	199	11	showed	show	VERB
cana-3679	199	12	strong	strong	ADJ
cana-3679	199	13	agreement	agreement	NOUN
cana-3679	199	14	,	,	PUNCT
cana-3679	199	15	particularly	particularly	ADV
cana-3679	199	16	in	in	ADP
cana-3679	199	17	regions	region	NOUN
cana-3679	199	18	with	with	ADP
cana-3679	199	19	consistent	consistent	ADJ
cana-3679	199	20	meteorological	meteorological	ADJ
cana-3679	199	21	patterns	pattern	NOUN
cana-3679	199	22	.	.	PUNCT
cana-3679	200	1	user	user	NOUN
cana-3679	200	2	interface	interface	NOUN
cana-3679	200	3	interaction	interaction	NOUN
cana-3679	200	4	and	and	CCONJ
cana-3679	200	5	insights	insight	NOUN
cana-3679	200	6	user	user	NOUN
cana-3679	200	7	-	-	PUNCT
cana-3679	200	8	friendly	friendly	ADJ
cana-3679	200	9	interface	interface	NOUN
cana-3679	200	10	enabled	enable	VERB
cana-3679	200	11	intuitive	intuitive	ADJ
cana-3679	200	12	interaction	interaction	NOUN
cana-3679	200	13	with	with	ADP
cana-3679	200	14	predictions	prediction	NOUN
cana-3679	200	15	and	and	CCONJ
cana-3679	200	16	anomalies	anomaly	NOUN
cana-3679	200	17	.	.	PUNCT
cana-3679	201	1	in	in	ADP
cana-3679	201	2	the	the	DET
cana-3679	201	3	table	table	NOUN
cana-3679	201	4	1	1	NUM
cana-3679	201	5	,	,	PUNCT
cana-3679	201	6	highlight	highlight	VERB
cana-3679	201	7	the	the	DET
cana-3679	201	8	effectiveness	effectiveness	NOUN
cana-3679	201	9	of	of	ADP
cana-3679	201	10	various	various	ADJ
cana-3679	201	11	deep	deep	ADJ
cana-3679	201	12	learning	learning	NOUN
cana-3679	201	13	models	model	NOUN
cana-3679	201	14	for	for	ADP
cana-3679	201	15	soil	soil	NOUN
cana-3679	201	16	moisture	moisture	NOUN
cana-3679	201	17	prediction	prediction	NOUN
cana-3679	201	18	.	.	PUNCT
cana-3679	202	1	the	the	DET
cana-3679	202	2	transformer	transformer	NOUN
cana-3679	202	3	model	model	NOUN
cana-3679	202	4	outperformed	outperform	VERB
cana-3679	202	5	others	other	NOUN
cana-3679	202	6	with	with	ADP
cana-3679	202	7	the	the	DET
cana-3679	202	8	lowest	low	ADJ
cana-3679	202	9	rmse	rmse	NOUN
cana-3679	202	10	(	(	PUNCT
cana-3679	202	11	0.042	0.042	NUM
cana-3679	202	12	)	)	PUNCT
cana-3679	202	13	and	and	CCONJ
cana-3679	202	14	mae	mae	PROPN
cana-3679	202	15	(	(	PUNCT
cana-3679	202	16	0.035	0.035	NUM
cana-3679	202	17	)	)	PUNCT
cana-3679	202	18	,	,	PUNCT
cana-3679	202	19	followed	follow	VERB
cana-3679	202	20	by	by	ADP
cana-3679	202	21	conv	conv	ADJ
cana-3679	202	22	-	-	PUNCT
cana-3679	202	23	lstm	lstm	ADJ
cana-3679	202	24	,	,	PUNCT
cana-3679	202	25	lstm	lstm	ADJ
cana-3679	202	26	,	,	PUNCT
cana-3679	202	27	and	and	CCONJ
cana-3679	202	28	cnn	cnn	PROPN
cana-3679	202	29	.	.	PUNCT
cana-3679	203	1	multi	multi	ADJ
cana-3679	203	2	-	-	ADJ
cana-3679	203	3	source	source	NOUN
cana-3679	203	4	data	data	NOUN
cana-3679	203	5	integration	integration	NOUN
cana-3679	203	6	significantly	significantly	ADV
cana-3679	203	7	improved	improve	VERB
cana-3679	203	8	prediction	prediction	NOUN
cana-3679	203	9	accuracy	accuracy	NOUN
cana-3679	203	10	by	by	ADP
cana-3679	203	11	12	12	NUM
cana-3679	203	12	-	-	SYM
cana-3679	203	13	18	18	NUM
cana-3679	203	14	%	%	NOUN
cana-3679	203	15	compared	compare	VERB
cana-3679	203	16	to	to	ADP
cana-3679	203	17	single	single	ADJ
cana-3679	203	18	-	-	PUNCT
cana-3679	203	19	source	source	NOUN
cana-3679	203	20	data	datum	NOUN
cana-3679	203	21	.	.	PUNCT
cana-3679	204	1	hyperparameter	hyperparameter	NOUN
cana-3679	204	2	optimization	optimization	NOUN
cana-3679	204	3	reduced	reduce	VERB
cana-3679	204	4	training	training	NOUN
cana-3679	204	5	time	time	NOUN
cana-3679	204	6	by	by	ADP
cana-3679	204	7	15	15	NUM
cana-3679	204	8	%	%	NOUN
cana-3679	204	9	while	while	SCONJ
cana-3679	204	10	enhancing	enhance	VERB
cana-3679	204	11	accuracy	accuracy	NOUN
cana-3679	204	12	by	by	ADP
cana-3679	204	13	8	8	NUM
cana-3679	204	14	%	%	NOUN
cana-3679	204	15	.	.	PUNCT
cana-3679	205	1	the	the	DET
cana-3679	205	2	analysis	analysis	NOUN
cana-3679	205	3	revealed	reveal	VERB
cana-3679	205	4	meteorological	meteorological	ADJ
cana-3679	205	5	parameters	parameter	NOUN
cana-3679	205	6	and	and	CCONJ
cana-3679	205	7	spatial	spatial	ADJ
cana-3679	205	8	features	feature	NOUN
cana-3679	205	9	as	as	ADP
cana-3679	205	10	the	the	DET
cana-3679	205	11	most	most	ADV
cana-3679	205	12	influential	influential	ADJ
cana-3679	205	13	factors	factor	NOUN
cana-3679	205	14	in	in	ADP
cana-3679	205	15	model	model	NOUN
cana-3679	205	16	interpretability	interpretability	NOUN
cana-3679	205	17	.	.	PUNCT
cana-3679	206	1	real	real	ADJ
cana-3679	206	2	-	-	PUNCT
cana-3679	206	3	time	time	NOUN
cana-3679	206	4	predictions	prediction	NOUN
cana-3679	206	5	were	be	AUX
cana-3679	206	6	generated	generate	VERB
cana-3679	206	7	within	within	ADP
cana-3679	206	8	5	5	NUM
cana-3679	206	9	seconds	second	NOUN
cana-3679	206	10	,	,	PUNCT
cana-3679	206	11	demonstrating	demonstrate	VERB
cana-3679	206	12	the	the	DET
cana-3679	206	13	system	system	NOUN
cana-3679	206	14	’s	’s	PART
cana-3679	206	15	efficiency	efficiency	NOUN
cana-3679	206	16	.	.	PUNCT
cana-3679	207	1	deployment	deployment	NOUN
cana-3679	207	2	showed	show	VERB
cana-3679	207	3	robust	robust	ADJ
cana-3679	207	4	scalability	scalability	NOUN
cana-3679	207	5	,	,	PUNCT
cana-3679	207	6	and	and	CCONJ
cana-3679	207	7	anomaly	anomaly	NOUN
cana-3679	207	8	detection	detection	NOUN
cana-3679	207	9	achieved	achieve	VERB
cana-3679	207	10	a	a	DET
cana-3679	207	11	96	96	NUM
cana-3679	207	12	%	%	NOUN
cana-3679	207	13	accuracy	accuracy	NOUN
cana-3679	207	14	rate	rate	NOUN
cana-3679	207	15	in	in	ADP
cana-3679	207	16	identifying	identify	VERB
cana-3679	207	17	deviations	deviation	NOUN
cana-3679	207	18	.	.	PUNCT
cana-3679	208	1	the	the	DET
cana-3679	208	2	visualization	visualization	NOUN
cana-3679	208	3	tool	tool	NOUN
cana-3679	208	4	provides	provide	VERB
cana-3679	208	5	a	a	DET
cana-3679	208	6	strong	strong	ADJ
cana-3679	208	7	alignment	alignment	NOUN
cana-3679	208	8	between	between	ADP
cana-3679	208	9	predicted	predict	VERB
cana-3679	208	10	and	and	CCONJ
cana-3679	208	11	actual	actual	ADJ
cana-3679	208	12	values	value	NOUN
cana-3679	208	13	.	.	PUNCT
cana-3679	209	1	it	it	PRON
cana-3679	209	2	is	be	AUX
cana-3679	209	3	complemented	complement	VERB
cana-3679	209	4	by	by	ADP
cana-3679	209	5	an	an	DET
cana-3679	209	6	intuitive	intuitive	ADJ
cana-3679	209	7	user	user	NOUN
cana-3679	209	8	interface	interface	NOUN
cana-3679	209	9	that	that	PRON
cana-3679	209	10	facilitates	facilitate	VERB
cana-3679	209	11	interaction	interaction	NOUN
cana-3679	209	12	and	and	CCONJ
cana-3679	209	13	exploration	exploration	NOUN
cana-3679	209	14	.	.	PUNCT
cana-3679	210	1	table	table	NOUN
cana-3679	210	2	2	2	NUM
cana-3679	210	3	.	.	PUNCT
cana-3679	210	4	summarize	summarize	VERB
cana-3679	210	5	the	the	DET
cana-3679	210	6	proposed	propose	VERB
cana-3679	210	7	algorithm	algorithm	NOUN
cana-3679	210	8	compared	compare	VERB
cana-3679	210	9	to	to	ADP
cana-3679	210	10	other	other	ADJ
cana-3679	210	11	algorithms	algorithm	NOUN
cana-3679	210	12	.	.	PUNCT
cana-3679	211	1	available	available	ADJ
cana-3679	211	2	for	for	ADP
cana-3679	211	3	predicting	predict	VERB
cana-3679	211	4	soil	soil	NOUN
cana-3679	211	5	moisture	moisture	NOUN
cana-3679	211	6	.	.	PUNCT
cana-3679	212	1	algorithm	algorithm	PROPN
cana-3679	212	2	key	key	PROPN
cana-3679	212	3	features	feature	VERB
cana-3679	212	4	rms	rm	NOUN
cana-3679	212	5	e	e	PROPN
cana-3679	212	6	ma	ma	PROPN
cana-3679	212	7	e	e	PROPN
cana-3679	212	8	training	training	NOUN
cana-3679	212	9	time	time	NOUN
cana-3679	212	10	interpretabili	interpretabili	NOUN
cana-3679	213	1	ty	ty	INTJ
cana-3679	213	2	scalabilit	scalabilit	VERB
cana-3679	213	3	y	y	PROPN
cana-3679	213	4	realtime	realtime	NOUN
cana-3679	213	5	predictio	predictio	NOUN
cana-3679	213	6	n	n	CCONJ
cana-3679	213	7	proposed	propose	VERB
cana-3679	213	8	algorithm	algorithm	PROPN
cana-3679	213	9	cnn	cnn	PROPN
cana-3679	213	10	for	for	ADP
cana-3679	213	11	spatial	spatial	ADJ
cana-3679	213	12	,	,	PUNCT
cana-3679	213	13	lstm	lstm	NOUN
cana-3679	213	14	for	for	ADP
cana-3679	213	15	temporal	temporal	ADJ
cana-3679	213	16	,	,	PUNCT
cana-3679	213	17	multi	multi	ADJ
cana-3679	213	18	-	-	ADJ
cana-3679	213	19	source	source	ADJ
cana-3679	213	20	data	datum	NOUN
cana-3679	213	21	,	,	PUNCT
cana-3679	213	22	transformer	transformer	NOUN
cana-3679	213	23	prediction	prediction	NOUN
cana-3679	213	24	0.042	0.042	NUM
cana-3679	213	25	0.03	0.03	NUM
cana-3679	213	26	5	5	NUM
cana-3679	213	27	optimize	optimize	NOUN
cana-3679	213	28	d	d	X
cana-3679	213	29	(	(	PUNCT
cana-3679	213	30	15	15	NUM
cana-3679	213	31	%	%	NOUN
cana-3679	213	32	faster	fast	ADJ
cana-3679	213	33	)	)	PUNCT
cana-3679	214	1	high	high	ADV
cana-3679	214	2	excellent	excellent	ADV
cana-3679	214	3	yes	yes	INTJ
cana-3679	214	4	(	(	PUNCT
cana-3679	214	5	5	5	NUM
cana-3679	214	6	seconds	second	NOUN
cana-3679	214	7	)	)	PUNCT
cana-3679	215	1	convlstm	convlstm	VERB
cana-3679	215	2	spatiotemporal	spatiotemporal	ADJ
cana-3679	215	3	modeling	modeling	NOUN
cana-3679	215	4	with	with	ADP
cana-3679	215	5	convlstm	convlstm	NOUN
cana-3679	215	6	layers	layer	NOUN
cana-3679	215	7	0.049	0.049	NUM
cana-3679	215	8	0.04	0.04	NUM
cana-3679	215	9	1	1	NUM
cana-3679	215	10	moderate	moderate	ADJ
cana-3679	215	11	moderate	moderate	ADJ
cana-3679	215	12	good	good	ADJ
cana-3679	215	13	partial	partial	ADJ
cana-3679	215	14	(	(	PUNCT
cana-3679	215	15	7	7	NUM
cana-3679	215	16	seconds	second	NOUN
cana-3679	215	17	)	)	PUNCT
cana-3679	215	18	rnnlstm	rnnlstm	NOUN
cana-3679	215	19	temporal	temporal	ADJ
cana-3679	215	20	modeling	modeling	NOUN
cana-3679	215	21	using	use	VERB
cana-3679	215	22	lstm	lstm	ADJ
cana-3679	215	23	layers	layer	NOUN
cana-3679	215	24	(	(	PUNCT
cana-3679	215	25	agriculture	agriculture	NOUN
cana-3679	215	26	)	)	PUNCT
cana-3679	215	27	0.056	0.056	NUM
cana-3679	215	28	0.04	0.04	NUM
cana-3679	215	29	7	7	NUM
cana-3679	215	30	longer	long	ADV
cana-3679	215	31	low	low	ADJ
cana-3679	215	32	moderate	moderate	ADJ
cana-3679	215	33	no	no	DET
cana-3679	215	34	cnn	cnn	PROPN
cana-3679	215	35	-	-	PUNCT
cana-3679	215	36	based	base	VERB
cana-3679	215	37	spatial	spatial	NOUN
cana-3679	215	38	modeling	model	VERB
cana-3679	215	39	0.062	0.062	NUM
cana-3679	215	40	0.05	0.05	NUM
cana-3679	215	41	3	3	NUM
cana-3679	215	42	faster	fast	ADV
cana-3679	215	43	low	low	ADJ
cana-3679	215	44	good	good	ADJ
cana-3679	215	45	yes	yes	INTJ
cana-3679	215	46	communications	communication	NOUN
cana-3679	215	47	on	on	ADP
cana-3679	215	48	applied	apply	VERB
cana-3679	215	49	nonlinear	nonlinear	ADJ
cana-3679	215	50	analysis	analysis	NOUN
cana-3679	215	51	issn	issn	NOUN
cana-3679	215	52	:	:	PUNCT
cana-3679	215	53	1074	1074	NUM
cana-3679	215	54	-	-	PUNCT
cana-3679	215	55	133x	133x	NUM
cana-3679	215	56	vol	vol	NOUN
cana-3679	215	57	32	32	NUM
cana-3679	215	58	no	no	NOUN
cana-3679	215	59	.	.	PUNCT
cana-3679	216	1	8s	8s	PROPN
cana-3679	216	2	(	(	PUNCT
cana-3679	216	3	2025	2025	NUM
cana-3679	216	4	)	)	PUNCT
cana-3679	216	5	340	340	NUM
cana-3679	216	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	216	7	using	use	VERB
cana-3679	216	8	convolution	convolution	NOUN
cana-3679	216	9	al	al	PROPN
cana-3679	216	10	layers	layer	NOUN
cana-3679	216	11	transforme	transforme	VERB
cana-3679	216	12	r	r	NOUN
cana-3679	216	13	sequential	sequential	ADJ
cana-3679	216	14	modeling	modeling	NOUN
cana-3679	216	15	with	with	ADP
cana-3679	216	16	attention	attention	NOUN
cana-3679	216	17	mechanisms	mechanism	NOUN
cana-3679	217	1	0.044	0.044	NUM
cana-3679	217	2	0.03	0.03	NUM
cana-3679	217	3	7	7	NUM
cana-3679	217	4	moderate	moderate	ADJ
cana-3679	217	5	high	high	ADJ
cana-3679	217	6	excellent	excellent	ADJ
cana-3679	218	1	yes	yes	INTJ
cana-3679	218	2	(	(	PUNCT
cana-3679	218	3	6	6	NUM
cana-3679	218	4	seconds	second	NOUN
cana-3679	218	5	)	)	PUNCT
cana-3679	218	6	smap	smap	NOUN
cana-3679	218	7	downscalin	downscalin	PROPN
cana-3679	218	8	g	g	PROPN
cana-3679	218	9	deep	deep	ADJ
cana-3679	218	10	belief	belief	NOUN
cana-3679	218	11	networks	network	NOUN
cana-3679	218	12	for	for	ADP
cana-3679	218	13	downscaling	downscale	VERB
cana-3679	218	14	smap	smap	NOUN
cana-3679	218	15	data	datum	NOUN
cana-3679	219	1	0.071	0.071	NUM
cana-3679	219	2	0.05	0.05	NUM
cana-3679	219	3	9	9	NUM
cana-3679	219	4	moderate	moderate	ADJ
cana-3679	219	5	low	low	ADJ
cana-3679	219	6	limited	limited	ADJ
cana-3679	219	7	no	no	DET
cana-3679	219	8	comparison	comparison	NOUN
cana-3679	219	9	table	table	NOUN
cana-3679	219	10	2	2	NUM
cana-3679	219	11	highlights	highlight	NOUN
cana-3679	219	12	the	the	DET
cana-3679	219	13	superior	superior	ADJ
cana-3679	219	14	performance	performance	NOUN
cana-3679	219	15	of	of	ADP
cana-3679	219	16	the	the	DET
cana-3679	219	17	proposed	propose	VERB
cana-3679	219	18	algorithm	algorithm	NOUN
cana-3679	219	19	in	in	ADP
cana-3679	219	20	single	single	ADJ
cana-3679	219	21	humidity	humidity	NOUN
cana-3679	219	22	forecasts	forecast	NOUN
cana-3679	219	23	.	.	PUNCT
cana-3679	220	1	it	it	PRON
cana-3679	220	2	shows	show	VERB
cana-3679	220	3	the	the	DET
cana-3679	220	4	lowest	low	ADJ
cana-3679	220	5	rmse	rmse	NOUN
cana-3679	220	6	(	(	PUNCT
cana-3679	220	7	0.042	0.042	NUM
cana-3679	220	8	)	)	PUNCT
cana-3679	220	9	and	and	CCONJ
cana-3679	220	10	mae	mae	PROPN
cana-3679	220	11	(	(	PUNCT
cana-3679	220	12	0.035	0.035	NUM
cana-3679	220	13	)	)	PUNCT
cana-3679	220	14	among	among	ADP
cana-3679	220	15	all	all	DET
cana-3679	220	16	compared	compare	VERB
cana-3679	220	17	methods	method	NOUN
cana-3679	220	18	.	.	PUNCT
cana-3679	221	1	this	this	DET
cana-3679	221	2	success	success	NOUN
cana-3679	221	3	is	be	AUX
cana-3679	221	4	due	due	ADJ
cana-3679	221	5	to	to	ADP
cana-3679	221	6	the	the	DET
cana-3679	221	7	innovative	innovative	ADJ
cana-3679	221	8	combination	combination	NOUN
cana-3679	221	9	of	of	ADP
cana-3679	221	10	cnn	cnn	PROPN
cana-3679	221	11	for	for	ADP
cana-3679	221	12	spatial	spatial	ADJ
cana-3679	221	13	feature	feature	NOUN
cana-3679	221	14	extraction	extraction	NOUN
cana-3679	221	15	,	,	PUNCT
cana-3679	221	16	lstm	lstm	NOUN
cana-3679	221	17	for	for	ADP
cana-3679	221	18	temporal	temporal	ADJ
cana-3679	221	19	dependencies	dependency	NOUN
cana-3679	221	20	,	,	PUNCT
cana-3679	221	21	and	and	CCONJ
cana-3679	221	22	transformer	transformer	NOUN
cana-3679	221	23	for	for	ADP
cana-3679	221	24	sequence	sequence	NOUN
cana-3679	221	25	modeling	modeling	NOUN
cana-3679	221	26	.	.	PUNCT
cana-3679	222	1	together	together	ADV
cana-3679	222	2	with	with	ADP
cana-3679	222	3	integrating	integrate	VERB
cana-3679	222	4	multiple	multiple	ADJ
cana-3679	222	5	data	datum	NOUN
cana-3679	222	6	sources	source	NOUN
cana-3679	222	7	,	,	PUNCT
cana-3679	222	8	the	the	DET
cana-3679	222	9	transformer	transformer	NOUN
cana-3679	222	10	-	-	PUNCT
cana-3679	222	11	based	base	VERB
cana-3679	222	12	model	model	NOUN
cana-3679	222	13	also	also	ADV
cana-3679	222	14	has	have	VERB
cana-3679	222	15	good	good	ADJ
cana-3679	222	16	performance	performance	NOUN
cana-3679	222	17	and	and	CCONJ
cana-3679	222	18	the	the	DET
cana-3679	222	19	proposed	propose	VERB
cana-3679	222	20	algorithm	algorithm	NOUN
cana-3679	222	21	has	have	VERB
cana-3679	222	22	the	the	DET
cana-3679	222	23	ability	ability	NOUN
cana-3679	222	24	to	to	PART
cana-3679	222	25	fast	fast	VERB
cana-3679	222	26	scale	scale	NOUN
cana-3679	222	27	and	and	CCONJ
cana-3679	222	28	reduce	reduce	VERB
cana-3679	222	29	training	training	NOUN
cana-3679	222	30	time	time	NOUN
cana-3679	222	31	using	use	VERB
cana-3679	222	32	optimized	optimize	VERB
cana-3679	222	33	hyperparameters	hyperparameter	NOUN
cana-3679	222	34	.	.	PUNCT
cana-3679	223	1	this	this	PRON
cana-3679	223	2	is	be	AUX
cana-3679	223	3	different	different	ADJ
cana-3679	223	4	from	from	ADP
cana-3679	223	5	two	two	NUM
cana-3679	223	6	conventional	conventional	ADJ
cana-3679	223	7	methods	method	NOUN
cana-3679	223	8	,	,	PUNCT
cana-3679	223	9	such	such	ADJ
cana-3679	223	10	as	as	ADP
cana-3679	223	11	rnn	rnn	NOUN
cana-3679	223	12	-	-	PUNCT
cana-3679	223	13	lstm	lstm	ADJ
cana-3679	223	14	or	or	CCONJ
cana-3679	223	15	conv	conv	ADJ
cana-3679	223	16	-	-	PUNCT
cana-3679	223	17	lstm	lstm	NOUN
cana-3679	223	18	,	,	PUNCT
cana-3679	223	19	which	which	PRON
cana-3679	223	20	offer	offer	VERB
cana-3679	223	21	longer	long	ADV
cana-3679	223	22	training	training	NOUN
cana-3679	223	23	times	time	NOUN
cana-3679	223	24	and	and	CCONJ
cana-3679	223	25	limited	limited	ADJ
cana-3679	223	26	interpretability	interpretability	NOUN
cana-3679	223	27	.	.	PUNCT
cana-3679	224	1	the	the	DET
cana-3679	224	2	above	above	ADJ
cana-3679	224	3	method	method	NOUN
cana-3679	224	4	proposes	propose	VERB
cana-3679	224	5	to	to	PART
cana-3679	224	6	balance	balance	VERB
cana-3679	224	7	accuracy	accuracy	NOUN
cana-3679	224	8	and	and	CCONJ
cana-3679	224	9	predictability	predictability	NOUN
cana-3679	224	10	in	in	ADP
cana-3679	224	11	real	real	ADJ
cana-3679	224	12	time	time	NOUN
cana-3679	224	13	(	(	PUNCT
cana-3679	224	14	5	5	NUM
cana-3679	224	15	seconds	second	NOUN
cana-3679	224	16	)	)	PUNCT
cana-3679	224	17	,	,	PUNCT
cana-3679	224	18	in	in	ADP
cana-3679	224	19	addition	addition	NOUN
cana-3679	224	20	to	to	ADP
cana-3679	224	21	novel	novel	ADJ
cana-3679	224	22	scalability	scalability	NOUN
cana-3679	224	23	and	and	CCONJ
cana-3679	224	24	high	high	ADJ
cana-3679	224	25	interpretability	interpretability	NOUN
cana-3679	224	26	through	through	ADP
cana-3679	224	27	resource	resource	NOUN
cana-3679	224	28	selection	selection	NOUN
cana-3679	224	29	.	.	PUNCT
cana-3679	225	1	as	as	ADP
cana-3679	225	2	a	a	DET
cana-3679	225	3	result	result	NOUN
cana-3679	225	4	,	,	PUNCT
cana-3679	225	5	they	they	PRON
cana-3679	225	6	are	be	AUX
cana-3679	225	7	not	not	PART
cana-3679	225	8	ready	ready	ADJ
cana-3679	225	9	for	for	ADP
cana-3679	225	10	practical	practical	ADJ
cana-3679	225	11	use	use	NOUN
cana-3679	225	12	in	in	ADP
cana-3679	225	13	a	a	DET
cana-3679	225	14	variety	variety	NOUN
cana-3679	225	15	of	of	ADP
cana-3679	225	16	agricultural	agricultural	ADJ
cana-3679	225	17	and	and	CCONJ
cana-3679	225	18	hydrologic	hydrologic	ADJ
cana-3679	225	19	contexts	contexts	NOUN
cana-3679	225	20	.	.	PUNCT
cana-3679	226	1	4.1	4.1	NUM
cana-3679	226	2	.	.	PUNCT
cana-3679	226	3	result	result	VERB
cana-3679	226	4	analysis	analysis	NOUN
cana-3679	226	5	the	the	DET
cana-3679	226	6	results	result	NOUN
cana-3679	226	7	highlight	highlight	VERB
cana-3679	226	8	the	the	DET
cana-3679	226	9	effectiveness	effectiveness	NOUN
cana-3679	226	10	of	of	ADP
cana-3679	226	11	the	the	DET
cana-3679	226	12	proposed	propose	VERB
cana-3679	226	13	deep	deep	ADJ
cana-3679	226	14	learning	learning	NOUN
cana-3679	226	15	algorithm	algorithm	NOUN
cana-3679	226	16	in	in	ADP
cana-3679	226	17	predicting	predict	VERB
cana-3679	226	18	singleton	singleton	PROPN
cana-3679	226	19	accuracy	accuracy	NOUN
cana-3679	226	20	with	with	ADP
cana-3679	226	21	high	high	ADJ
cana-3679	226	22	accuracy	accuracy	NOUN
cana-3679	226	23	.	.	PUNCT
cana-3679	227	1	among	among	ADP
cana-3679	227	2	the	the	DET
cana-3679	227	3	models	model	NOUN
cana-3679	227	4	evaluated	evaluate	VERB
cana-3679	227	5	the	the	DET
cana-3679	227	6	proposed	propose	VERB
cana-3679	227	7	algorithm	algorithm	NOUN
cana-3679	227	8	achieves	achieve	VERB
cana-3679	227	9	the	the	DET
cana-3679	227	10	lowest	low	ADJ
cana-3679	227	11	rmse	rmse	NOUN
cana-3679	227	12	(	(	PUNCT
cana-3679	227	13	0.042	0.042	NUM
cana-3679	227	14	)	)	PUNCT
cana-3679	227	15	and	and	CCONJ
cana-3679	227	16	mae	mae	PROPN
cana-3679	227	17	(	(	PUNCT
cana-3679	227	18	0.035	0.035	NUM
cana-3679	227	19	)	)	PUNCT
cana-3679	227	20	,	,	PUNCT
cana-3679	227	21	indicating	indicate	VERB
cana-3679	227	22	superior	superior	ADJ
cana-3679	227	23	predictive	predictive	ADJ
cana-3679	227	24	ability	ability	NOUN
cana-3679	227	25	.	.	PUNCT
cana-3679	228	1	however	however	ADV
cana-3679	228	2	,	,	PUNCT
cana-3679	228	3	the	the	DET
cana-3679	228	4	transformer	transformer	NOUN
cana-3679	228	5	-	-	PUNCT
cana-3679	228	6	based	base	VERB
cana-3679	228	7	model	model	NOUN
cana-3679	228	8	demonstrates	demonstrate	VERB
cana-3679	228	9	competitive	competitive	ADJ
cana-3679	228	10	accuracy	accuracy	NOUN
cana-3679	228	11	(	(	PUNCT
cana-3679	228	12	rmse	rmse	NOUN
cana-3679	228	13	:	:	PUNCT
cana-3679	228	14	0.048	0.048	NUM
cana-3679	228	15	,	,	PUNCT
cana-3679	228	16	mae	mae	PROPN
cana-3679	228	17	:	:	PUNCT
cana-3679	228	18	0.040	0.040	NUM
cana-3679	228	19	)	)	PUNCT
cana-3679	228	20	,	,	PUNCT
cana-3679	228	21	which	which	PRON
cana-3679	228	22	requires	require	VERB
cana-3679	228	23	higher	high	ADJ
cana-3679	228	24	training	training	NOUN
cana-3679	228	25	time	time	NOUN
cana-3679	228	26	.	.	PUNCT
cana-3679	229	1	emphasis	emphasis	NOUN
cana-3679	229	2	is	be	AUX
cana-3679	229	3	placed	place	VERB
cana-3679	229	4	on	on	ADP
cana-3679	229	5	the	the	DET
cana-3679	229	6	efficiency	efficiency	NOUN
cana-3679	229	7	of	of	ADP
cana-3679	229	8	the	the	DET
cana-3679	229	9	proposed	propose	VERB
cana-3679	229	10	method	method	NOUN
cana-3679	229	11	in	in	ADP
cana-3679	229	12	the	the	DET
cana-3679	229	13	use	use	NOUN
cana-3679	229	14	of	of	ADP
cana-3679	229	15	computational	computational	ADJ
cana-3679	229	16	resources.[19	resources.[19	PROPN
cana-3679	229	17	]	]	X
cana-3679	229	18	the	the	DET
cana-3679	229	19	comparative	comparative	ADJ
cana-3679	229	20	analysis	analysis	NOUN
cana-3679	229	21	also	also	ADV
cana-3679	229	22	shows	show	VERB
cana-3679	229	23	the	the	DET
cana-3679	229	24	limitations	limitation	NOUN
cana-3679	229	25	of	of	ADP
cana-3679	229	26	traditional	traditional	ADJ
cana-3679	229	27	architectures	architecture	NOUN
cana-3679	229	28	such	such	ADJ
cana-3679	229	29	as	as	ADP
cana-3679	229	30	rnn	rnn	NOUN
cana-3679	229	31	-	-	PUNCT
cana-3679	229	32	lstm	lstm	ADJ
cana-3679	229	33	and	and	CCONJ
cana-3679	229	34	conv	conv	ADJ
cana-3679	229	35	-	-	PUNCT
cana-3679	229	36	lstm	lstm	NOUN
cana-3679	229	37	,	,	PUNCT
cana-3679	229	38	which	which	PRON
cana-3679	229	39	have	have	VERB
cana-3679	229	40	higher	high	ADJ
cana-3679	229	41	error	error	NOUN
cana-3679	229	42	rates	rate	NOUN
cana-3679	229	43	(	(	PUNCT
cana-3679	229	44	rmse	rmse	PROPN
cana-3679	229	45	:	:	PUNCT
cana-3679	229	46	0.065	0.065	NUM
cana-3679	229	47	and	and	CCONJ
cana-3679	229	48	0.060	0.060	NUM
cana-3679	229	49	,	,	PUNCT
cana-3679	229	50	respectively	respectively	ADV
cana-3679	229	51	)	)	PUNCT
cana-3679	229	52	and	and	CCONJ
cana-3679	229	53	longer	long	ADJ
cana-3679	229	54	prediction	prediction	NOUN
cana-3679	229	55	times	time	NOUN
cana-3679	229	56	.	.	PUNCT
cana-3679	230	1	the	the	DET
cana-3679	230	2	optimized	optimize	VERB
cana-3679	230	3	architecture	architecture	NOUN
cana-3679	230	4	of	of	ADP
cana-3679	230	5	the	the	DET
cana-3679	230	6	proposed	propose	VERB
cana-3679	230	7	algorithm	algorithm	NOUN
cana-3679	230	8	uses	use	VERB
cana-3679	230	9	cnn	cnn	PROPN
cana-3679	230	10	for	for	ADP
cana-3679	230	11	spatial	spatial	ADJ
cana-3679	230	12	feature	feature	NOUN
cana-3679	230	13	extraction	extraction	NOUN
cana-3679	230	14	,	,	PUNCT
cana-3679	230	15	lstm	lstm	NOUN
cana-3679	230	16	for	for	ADP
cana-3679	230	17	temporal	temporal	ADJ
cana-3679	230	18	dynamics	dynamic	NOUN
cana-3679	230	19	,	,	PUNCT
cana-3679	230	20	and	and	CCONJ
cana-3679	230	21	transformer	transformer	NOUN
cana-3679	230	22	for	for	ADP
cana-3679	230	23	sequence	sequence	NOUN
cana-3679	230	24	modeling	modeling	NOUN
cana-3679	230	25	.	.	PUNCT
cana-3679	231	1	accuracy	accuracy	NOUN
cana-3679	231	2	and	and	CCONJ
cana-3679	231	3	interpretability	interpretability	NOUN
cana-3679	231	4	are	be	AUX
cana-3679	231	5	guaranteed	guarantee	VERB
cana-3679	231	6	,	,	PUNCT
cana-3679	231	7	in	in	ADP
cana-3679	231	8	addition	addition	NOUN
cana-3679	231	9	to	to	ADP
cana-3679	231	10	the	the	DET
cana-3679	231	11	ability	ability	NOUN
cana-3679	231	12	to	to	PART
cana-3679	231	13	integrate	integrate	VERB
cana-3679	231	14	and	and	CCONJ
cana-3679	231	15	process	process	VERB
cana-3679	231	16	diverse	diverse	ADJ
cana-3679	231	17	data	datum	NOUN
cana-3679	231	18	sources	source	NOUN
cana-3679	231	19	.	.	PUNCT
cana-3679	232	1	including	include	VERB
cana-3679	232	2	satellite	satellite	NOUN
cana-3679	232	3	images	image	NOUN
cana-3679	232	4	in	in	ADP
cana-3679	232	5	situ	situ	ADJ
cana-3679	232	6	sensor	sensor	NOUN
cana-3679	232	7	data	datum	NOUN
cana-3679	232	8	and	and	CCONJ
cana-3679	232	9	meteorological	meteorological	ADJ
cana-3679	232	10	information	information	NOUN
cana-3679	232	11	it	it	PRON
cana-3679	232	12	also	also	ADV
cana-3679	232	13	increases	increase	VERB
cana-3679	232	14	durability	durability	NOUN
cana-3679	232	15	in	in	ADP
cana-3679	232	16	various	various	ADJ
cana-3679	232	17	environments.[20	environments.[20	NOUN
cana-3679	232	18	]	]	PUNCT
cana-3679	232	19	the	the	DET
cana-3679	232	20	new	new	ADJ
cana-3679	232	21	scalability	scalability	NOUN
cana-3679	232	22	and	and	CCONJ
cana-3679	232	23	usability	usability	NOUN
cana-3679	232	24	of	of	ADP
cana-3679	232	25	the	the	DET
cana-3679	232	26	proposed	propose	VERB
cana-3679	232	27	model	model	NOUN
cana-3679	232	28	adds	add	VERB
cana-3679	232	29	significant	significant	ADJ
cana-3679	232	30	value	value	NOUN
cana-3679	232	31	.	.	PUNCT
cana-3679	233	1	allowing	allow	VERB
cana-3679	233	2	real	real	ADJ
cana-3679	233	3	-	-	PUNCT
cana-3679	233	4	time	time	NOUN
cana-3679	233	5	predictions	prediction	NOUN
cana-3679	233	6	with	with	ADP
cana-3679	233	7	low	low	ADJ
cana-3679	233	8	latency	latency	NOUN
cana-3679	233	9	(	(	PUNCT
cana-3679	233	10	5	5	NUM
cana-3679	233	11	seconds	second	NOUN
cana-3679	233	12	)	)	PUNCT
cana-3679	233	13	,	,	PUNCT
cana-3679	233	14	this	this	DET
cana-3679	233	15	resource	resource	NOUN
cana-3679	233	16	supports	support	VERB
cana-3679	233	17	practical	practical	ADJ
cana-3679	233	18	applications	application	NOUN
cana-3679	233	19	in	in	ADP
cana-3679	233	20	agriculture	agriculture	NOUN
cana-3679	233	21	and	and	CCONJ
cana-3679	233	22	hydrology	hydrology	NOUN
cana-3679	233	23	.	.	PUNCT
cana-3679	234	1	it	it	PRON
cana-3679	234	2	provides	provide	VERB
cana-3679	234	3	additional	additional	ADJ
cana-3679	234	4	insights	insight	NOUN
cana-3679	234	5	for	for	ADP
cana-3679	234	6	stakeholders	stakeholder	NOUN
cana-3679	234	7	.	.	PUNCT
cana-3679	235	1	analysis	analysis	NOUN
cana-3679	235	2	of	of	ADP
cana-3679	235	3	the	the	DET
cana-3679	235	4	results	result	NOUN
cana-3679	235	5	confirms	confirm	VERB
cana-3679	235	6	that	that	SCONJ
cana-3679	235	7	the	the	DET
cana-3679	235	8	proposed	propose	VERB
cana-3679	235	9	algorithm	algorithm	NOUN
cana-3679	235	10	is	be	AUX
cana-3679	235	11	not	not	PART
cana-3679	235	12	only	only	ADV
cana-3679	235	13	a	a	DET
cana-3679	235	14	methodological	methodological	ADJ
cana-3679	235	15	breakthrough	breakthrough	NOUN
cana-3679	235	16	.	.	PUNCT
cana-3679	236	1	but	but	CCONJ
cana-3679	236	2	it	it	PRON
cana-3679	236	3	is	be	AUX
cana-3679	236	4	also	also	ADV
cana-3679	236	5	a	a	DET
cana-3679	236	6	practical	practical	ADJ
cana-3679	236	7	solution	solution	NOUN
cana-3679	236	8	to	to	ADP
cana-3679	236	9	the	the	DET
cana-3679	236	10	challenge	challenge	NOUN
cana-3679	236	11	of	of	ADP
cana-3679	236	12	instantaneous	instantaneous	ADJ
cana-3679	236	13	forecasting	forecasting	NOUN
cana-3679	236	14	alone.[25][26	alone.[25][26	NOUN
cana-3679	236	15	]	]	X
cana-3679	236	16	5	5	NUM
cana-3679	236	17	.	.	X
cana-3679	236	18	discussion	discussion	NOUN
cana-3679	236	19	the	the	DET
cana-3679	236	20	results	result	NOUN
cana-3679	236	21	emphasize	emphasize	VERB
cana-3679	236	22	the	the	DET
cana-3679	236	23	superiority	superiority	NOUN
cana-3679	236	24	of	of	ADP
cana-3679	236	25	the	the	DET
cana-3679	236	26	proposed	propose	VERB
cana-3679	236	27	deep	deep	ADJ
cana-3679	236	28	learning	learning	NOUN
cana-3679	236	29	algorithm	algorithm	NOUN
cana-3679	236	30	for	for	ADP
cana-3679	236	31	accurate	accurate	ADJ
cana-3679	236	32	predictions	prediction	NOUN
cana-3679	236	33	communications	communication	NOUN
cana-3679	236	34	on	on	ADP
cana-3679	236	35	applied	apply	VERB
cana-3679	236	36	nonlinear	nonlinear	ADJ
cana-3679	236	37	analysis	analysis	NOUN
cana-3679	236	38	issn	issn	NOUN
cana-3679	236	39	:	:	PUNCT
cana-3679	236	40	1074	1074	NUM
cana-3679	236	41	-	-	PUNCT
cana-3679	236	42	133x	133x	NUM
cana-3679	236	43	vol	vol	NOUN
cana-3679	236	44	32	32	NUM
cana-3679	236	45	no	no	NOUN
cana-3679	236	46	.	.	PUNCT
cana-3679	237	1	8s	8s	PROPN
cana-3679	237	2	(	(	PUNCT
cana-3679	237	3	2025	2025	NUM
cana-3679	237	4	)	)	PUNCT
cana-3679	237	5	341	341	NUM
cana-3679	237	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	237	7	alone	alone	ADV
cana-3679	237	8	.	.	PUNCT
cana-3679	238	1	in	in	ADP
cana-3679	238	2	terms	term	NOUN
cana-3679	238	3	of	of	ADP
cana-3679	238	4	accuracy	accuracy	NOUN
cana-3679	238	5	computational	computational	ADJ
cana-3679	238	6	efficiency	efficiency	NOUN
cana-3679	238	7	and	and	CCONJ
cana-3679	238	8	scalability	scalability	NOUN
cana-3679	238	9	by	by	ADP
cana-3679	238	10	integrating	integrate	VERB
cana-3679	238	11	spatial	spatial	ADJ
cana-3679	238	12	and	and	CCONJ
cana-3679	238	13	temporal	temporal	ADJ
cana-3679	238	14	modeling	modeling	NOUN
cana-3679	238	15	techniques	technique	NOUN
cana-3679	238	16	.	.	PUNCT
cana-3679	239	1	the	the	DET
cana-3679	239	2	proposed	propose	VERB
cana-3679	239	3	method	method	NOUN
cana-3679	239	4	can	can	AUX
cana-3679	239	5	effectively	effectively	ADV
cana-3679	239	6	capture	capture	VERB
cana-3679	239	7	complex	complex	ADJ
cana-3679	239	8	moisture	moisture	NOUN
cana-3679	239	9	dynamics	dynamic	NOUN
cana-3679	239	10	under	under	ADP
cana-3679	239	11	various	various	ADJ
cana-3679	239	12	environmental	environmental	ADJ
cana-3679	239	13	conditions	condition	NOUN
cana-3679	239	14	.	.	PUNCT
cana-3679	240	1	the	the	DET
cana-3679	240	2	combination	combination	NOUN
cana-3679	240	3	of	of	ADP
cana-3679	240	4	cnn	cnn	PROPN
cana-3679	240	5	for	for	ADP
cana-3679	240	6	spatial	spatial	ADJ
cana-3679	240	7	feature	feature	NOUN
cana-3679	240	8	extraction	extraction	NOUN
cana-3679	240	9	and	and	CCONJ
cana-3679	240	10	lstm	lstm	NOUN
cana-3679	240	11	with	with	ADP
cana-3679	240	12	transformer	transformer	NOUN
cana-3679	240	13	for	for	ADP
cana-3679	240	14	time	time	NOUN
cana-3679	240	15	series	series	NOUN
cana-3679	240	16	analysis	analysis	NOUN
cana-3679	240	17	increases	increase	VERB
cana-3679	240	18	the	the	DET
cana-3679	240	19	prediction	prediction	NOUN
cana-3679	240	20	power	power	NOUN
cana-3679	240	21	and	and	CCONJ
cana-3679	240	22	capability	capability	NOUN
cana-3679	240	23	of	of	ADP
cana-3679	240	24	nterpretation	nterpretation	NOUN
cana-3679	240	25	of	of	ADP
cana-3679	240	26	the	the	DET
cana-3679	240	27	model.[18	model.[18	PROPN
cana-3679	240	28	]	]	PUNCT
cana-3679	240	29	compared	compare	VERB
cana-3679	240	30	with	with	ADP
cana-3679	240	31	existing	exist	VERB
cana-3679	240	32	methods	method	NOUN
cana-3679	240	33	such	such	ADJ
cana-3679	240	34	as	as	ADP
cana-3679	240	35	rnn	rnn	NOUN
cana-3679	240	36	-	-	PUNCT
cana-3679	240	37	lstm	lstm	ADJ
cana-3679	240	38	and	and	CCONJ
cana-3679	240	39	conv	conv	ADJ
cana-3679	240	40	-	-	PUNCT
cana-3679	240	41	lstm	lstm	NOUN
cana-3679	240	42	,	,	PUNCT
cana-3679	240	43	the	the	DET
cana-3679	240	44	proposed	propose	VERB
cana-3679	240	45	algorithm	algorithm	NOUN
cana-3679	240	46	has	have	VERB
cana-3679	240	47	a	a	DET
cana-3679	240	48	significantly	significantly	ADV
cana-3679	240	49	lower	low	ADJ
cana-3679	240	50	error	error	NOUN
cana-3679	240	51	rate	rate	NOUN
cana-3679	240	52	,	,	PUNCT
cana-3679	240	53	with	with	ADP
cana-3679	240	54	rmse	rmse	NOUN
cana-3679	240	55	and	and	CCONJ
cana-3679	240	56	mae	mae	PROPN
cana-3679	240	57	values	value	NOUN
cana-3679	240	58	of	of	ADP
cana-3679	240	59	0.042	0.042	NUM
cana-3679	240	60	and	and	CCONJ
cana-3679	240	61	0.035	0.035	NUM
cana-3679	240	62	,	,	PUNCT
cana-3679	240	63	respectively	respectively	ADV
cana-3679	240	64	,	,	PUNCT
cana-3679	240	65	an	an	DET
cana-3679	240	66	improvement	improvement	NOUN
cana-3679	240	67	.	.	PUNCT
cana-3679	241	1	this	this	PRON
cana-3679	241	2	can	can	AUX
cana-3679	241	3	be	be	AUX
cana-3679	241	4	attributed	attribute	VERB
cana-3679	241	5	to	to	ADP
cana-3679	241	6	optimized	optimize	VERB
cana-3679	241	7	architecture	architecture	NOUN
cana-3679	241	8	projects	project	NOUN
cana-3679	241	9	and	and	CCONJ
cana-3679	241	10	the	the	DET
cana-3679	241	11	use	use	NOUN
cana-3679	241	12	of	of	ADP
cana-3679	241	13	data	datum	NOUN
cana-3679	241	14	from	from	ADP
cana-3679	241	15	multiple	multiple	ADJ
cana-3679	241	16	sources	source	NOUN
cana-3679	241	17	.	.	PUNCT
cana-3679	242	1	including	include	VERB
cana-3679	242	2	satellite	satellite	NOUN
cana-3679	242	3	images	image	NOUN
cana-3679	242	4	in	in	ADP
cana-3679	242	5	situ	situ	ADJ
cana-3679	242	6	sensor	sensor	NOUN
cana-3679	242	7	readings	reading	NOUN
cana-3679	242	8	and	and	CCONJ
cana-3679	242	9	meteorological	meteorological	ADJ
cana-3679	242	10	data	datum	NOUN
cana-3679	242	11	,	,	PUNCT
cana-3679	242	12	transformer	transformer	NOUN
cana-3679	242	13	-	-	PUNCT
cana-3679	242	14	based	base	VERB
cana-3679	242	15	models	model	NOUN
cana-3679	242	16	,	,	PUNCT
cana-3679	242	17	which	which	PRON
cana-3679	242	18	are	be	AUX
cana-3679	242	19	competitive	competitive	ADJ
cana-3679	242	20	in	in	ADP
cana-3679	242	21	accuracy	accuracy	NOUN
cana-3679	242	22	.	.	PUNCT
cana-3679	243	1	shows	show	VERB
cana-3679	243	2	longer	long	ADV
cana-3679	243	3	training	train	VERB
cana-3679	243	4	times	time	NOUN
cana-3679	243	5	it	it	PRON
cana-3679	243	6	emphasizes	emphasize	VERB
cana-3679	243	7	the	the	DET
cana-3679	243	8	importance	importance	NOUN
cana-3679	243	9	of	of	ADP
cana-3679	243	10	balancing	balance	VERB
cana-3679	243	11	computational	computational	ADJ
cana-3679	243	12	complexity	complexity	NOUN
cana-3679	243	13	and	and	CCONJ
cana-3679	243	14	practical	practical	ADJ
cana-3679	243	15	performance.[17	performance.[17	NOUN
cana-3679	243	16	]	]	PUNCT
cana-3679	243	17	reduced	reduced	ADJ
cana-3679	243	18	latency	latency	NOUN
cana-3679	243	19	in	in	ADP
cana-3679	243	20	real	real	ADJ
cana-3679	243	21	-	-	PUNCT
cana-3679	243	22	time	time	NOUN
cana-3679	243	23	forecasts	forecast	NOUN
cana-3679	243	24	facilitated	facilitate	VERB
cana-3679	243	25	by	by	ADP
cana-3679	243	26	new	new	ADJ
cana-3679	243	27	usability	usability	NOUN
cana-3679	243	28	and	and	CCONJ
cana-3679	243	29	api	api	NOUN
cana-3679	243	30	integration	integration	NOUN
cana-3679	243	31	,	,	PUNCT
cana-3679	243	32	the	the	DET
cana-3679	243	33	proposed	propose	VERB
cana-3679	243	34	model	model	NOUN
cana-3679	243	35	is	be	AUX
cana-3679	243	36	a	a	DET
cana-3679	243	37	viable	viable	ADJ
cana-3679	243	38	solution	solution	NOUN
cana-3679	243	39	for	for	ADP
cana-3679	243	40	agricultural	agricultural	ADJ
cana-3679	243	41	and	and	CCONJ
cana-3679	243	42	hydrological	hydrological	ADJ
cana-3679	243	43	decision	decision	NOUN
cana-3679	243	44	-	-	PUNCT
cana-3679	243	45	making	make	VERB
cana-3679	243	46	processes	process	NOUN
cana-3679	243	47	.	.	PUNCT
cana-3679	244	1	moreover	moreover	ADV
cana-3679	244	2	,	,	PUNCT
cana-3679	244	3	the	the	DET
cana-3679	244	4	integration	integration	NOUN
cana-3679	244	5	of	of	ADP
cana-3679	244	6	anomaly	anomaly	NOUN
cana-3679	244	7	detection	detection	NOUN
cana-3679	244	8	mechanisms	mechanism	NOUN
cana-3679	244	9	increases	increase	VERB
cana-3679	244	10	its	its	PRON
cana-3679	244	11	usefulness	usefulness	NOUN
cana-3679	244	12	.	.	PUNCT
cana-3679	245	1	it	it	PRON
cana-3679	245	2	can	can	AUX
cana-3679	245	3	provide	provide	VERB
cana-3679	245	4	advance	advance	NOUN
cana-3679	245	5	warning	warn	VERB
cana-3679	245	6	about	about	ADP
cana-3679	245	7	abnormal	abnormal	ADJ
cana-3679	245	8	humidity	humidity	NOUN
cana-3679	245	9	only	only	ADV
cana-3679	245	10	.	.	PUNCT
cana-3679	246	1	this	this	PRON
cana-3679	246	2	is	be	AUX
cana-3679	246	3	necessary	necessary	ADJ
cana-3679	246	4	for	for	ADP
cana-3679	246	5	proactive	proactive	ADJ
cana-3679	246	6	management	management	NOUN
cana-3679	246	7	of	of	ADP
cana-3679	246	8	both	both	DET
cana-3679	246	9	resources	resource	NOUN
cana-3679	246	10	.	.	PUNCT
cana-3679	247	1	despite	despite	SCONJ
cana-3679	247	2	the	the	DET
cana-3679	247	3	promising	promising	ADJ
cana-3679	247	4	results	result	NOUN
cana-3679	247	5	but	but	CCONJ
cana-3679	247	6	there	there	PRON
cana-3679	247	7	are	be	VERB
cana-3679	247	8	some	some	DET
cana-3679	247	9	challenges	challenge	NOUN
cana-3679	247	10	,	,	PUNCT
cana-3679	247	11	such	such	ADJ
cana-3679	247	12	as	as	ADP
cana-3679	247	13	the	the	DET
cana-3679	247	14	potential	potential	ADJ
cana-3679	247	15	need	need	NOUN
cana-3679	247	16	for	for	ADP
cana-3679	247	17	improvements	improvement	NOUN
cana-3679	247	18	in	in	ADP
cana-3679	247	19	unique	unique	ADJ
cana-3679	247	20	regions	region	NOUN
cana-3679	247	21	or	or	CCONJ
cana-3679	247	22	the	the	DET
cana-3679	247	23	limited	limited	ADJ
cana-3679	247	24	availability	availability	NOUN
cana-3679	247	25	of	of	ADP
cana-3679	247	26	data	datum	NOUN
cana-3679	247	27	.	.	PUNCT
cana-3679	248	1	future	future	ADJ
cana-3679	248	2	work	work	NOUN
cana-3679	248	3	may	may	AUX
cana-3679	248	4	focus	focus	VERB
cana-3679	248	5	on	on	ADP
cana-3679	248	6	further	far	ADV
cana-3679	248	7	optimizing	optimize	VERB
cana-3679	248	8	the	the	DET
cana-3679	248	9	algorithm	algorithm	NOUN
cana-3679	248	10	for	for	ADP
cana-3679	248	11	these	these	DET
cana-3679	248	12	conditions	condition	NOUN
cana-3679	248	13	.	.	PUNCT
cana-3679	249	1	and	and	CCONJ
cana-3679	249	2	explore	explore	VERB
cana-3679	249	3	its	its	PRON
cana-3679	249	4	adaptability	adaptability	NOUN
cana-3679	249	5	to	to	ADP
cana-3679	249	6	other	other	ADJ
cana-3679	249	7	domains	domain	NOUN
cana-3679	249	8	.	.	PUNCT
cana-3679	250	1	overall	overall	ADV
cana-3679	250	2	,	,	PUNCT
cana-3679	250	3	the	the	DET
cana-3679	250	4	discussion	discussion	NOUN
cana-3679	250	5	confirms	confirm	VERB
cana-3679	250	6	that	that	SCONJ
cana-3679	250	7	the	the	DET
cana-3679	250	8	proposed	propose	VERB
cana-3679	250	9	method	method	NOUN
cana-3679	250	10	represents	represent	VERB
cana-3679	250	11	a	a	DET
cana-3679	250	12	significant	significant	ADJ
cana-3679	250	13	advance	advance	NOUN
cana-3679	250	14	in	in	ADP
cana-3679	250	15	single	single	ADJ
cana-3679	250	16	surface	surface	NOUN
cana-3679	250	17	prediction	prediction	NOUN
cana-3679	250	18	.	.	PUNCT
cana-3679	251	1	it	it	PRON
cana-3679	251	2	addresses	address	VERB
cana-3679	251	3	the	the	DET
cana-3679	251	4	limitations	limitation	NOUN
cana-3679	251	5	of	of	ADP
cana-3679	251	6	traditional	traditional	ADJ
cana-3679	251	7	methods	method	NOUN
cana-3679	251	8	.	.	PUNCT
cana-3679	252	1	while	while	SCONJ
cana-3679	252	2	providing	provide	VERB
cana-3679	252	3	practical	practical	ADJ
cana-3679	252	4	benefits	benefit	NOUN
cana-3679	252	5	for	for	ADP
cana-3679	252	6	real	real	ADJ
cana-3679	252	7	-	-	PUNCT
cana-3679	252	8	world	world	NOUN
cana-3679	252	9	applications.[15	applications.[15	NOUN
cana-3679	252	10	]	]	X
cana-3679	252	11	6	6	NUM
cana-3679	252	12	.	.	X
cana-3679	252	13	conclusion	conclusion	NOUN
cana-3679	252	14	this	this	DET
cana-3679	252	15	research	research	NOUN
cana-3679	252	16	evaluates	evaluate	VERB
cana-3679	252	17	the	the	DET
cana-3679	252	18	performance	performance	NOUN
cana-3679	252	19	of	of	ADP
cana-3679	252	20	deep	deep	ADJ
cana-3679	252	21	learning	learning	NOUN
cana-3679	252	22	algorithms	algorithm	NOUN
cana-3679	252	23	in	in	ADP
cana-3679	252	24	accurately	accurately	ADV
cana-3679	252	25	predicting	predict	VERB
cana-3679	252	26	two	two	NUM
cana-3679	252	27	-	-	PUNCT
cana-3679	252	28	level	level	NOUN
cana-3679	252	29	humidity	humidity	NOUN
cana-3679	252	30	alone	alone	ADV
cana-3679	252	31	.	.	PUNCT
cana-3679	253	1	using	use	VERB
cana-3679	253	2	remote	remote	ADJ
cana-3679	253	3	sensing	sense	VERB
cana-3679	253	4	data	datum	NOUN
cana-3679	253	5	in	in	ADP
cana-3679	253	6	situ	situ	ADJ
cana-3679	253	7	sensor	sensor	NOUN
cana-3679	253	8	measurement	measurement	NOUN
cana-3679	253	9	and	and	CCONJ
cana-3679	253	10	meteorological	meteorological	ADJ
cana-3679	253	11	information	information	NOUN
cana-3679	253	12	the	the	DET
cana-3679	253	13	proposed	propose	VERB
cana-3679	253	14	algorithm	algorithm	NOUN
cana-3679	253	15	combines	combine	VERB
cana-3679	253	16	cnn	cnn	PROPN
cana-3679	253	17	for	for	ADP
cana-3679	253	18	spatial	spatial	ADJ
cana-3679	253	19	feature	feature	NOUN
cana-3679	253	20	extraction	extraction	NOUN
cana-3679	253	21	and	and	CCONJ
cana-3679	253	22	lstm	lstm	NOUN
cana-3679	253	23	with	with	ADP
cana-3679	253	24	transformer	transformer	NOUN
cana-3679	253	25	for	for	ADP
cana-3679	253	26	temporal	temporal	ADJ
cana-3679	253	27	dependency	dependency	NOUN
cana-3679	253	28	modeling	modeling	NOUN
cana-3679	253	29	.	.	PUNCT
cana-3679	254	1	it	it	PRON
cana-3679	254	2	shows	show	VERB
cana-3679	254	3	superior	superior	ADJ
cana-3679	254	4	performance	performance	NOUN
cana-3679	254	5	compared	compare	VERB
cana-3679	254	6	to	to	ADP
cana-3679	254	7	existing	exist	VERB
cana-3679	254	8	approaches	approach	NOUN
cana-3679	254	9	,	,	PUNCT
cana-3679	254	10	with	with	ADP
cana-3679	254	11	significantly	significantly	ADV
cana-3679	254	12	lower	low	ADJ
cana-3679	254	13	rmse	rmse	NOUN
cana-3679	254	14	(	(	PUNCT
cana-3679	254	15	0.042	0.042	NUM
cana-3679	254	16	)	)	PUNCT
cana-3679	254	17	and	and	CCONJ
cana-3679	254	18	mae	mae	PROPN
cana-3679	254	19	(	(	PUNCT
cana-3679	254	20	0.035	0.035	NUM
cana-3679	254	21	)	)	PUNCT
cana-3679	254	22	.	.	PUNCT
cana-3679	255	1	the	the	DET
cana-3679	255	2	model	model	NOUN
cana-3679	255	3	thus	thus	ADV
cana-3679	255	4	outperforms	outperform	VERB
cana-3679	255	5	rnn	rnn	NOUN
cana-3679	255	6	-	-	PUNCT
cana-3679	255	7	lstm	lstm	PROPN
cana-3679	255	8	,	,	PUNCT
cana-3679	255	9	convlstm	convlstm	NOUN
cana-3679	255	10	,	,	PUNCT
cana-3679	255	11	and	and	CCONJ
cana-3679	255	12	the	the	DET
cana-3679	255	13	transformer	transformer	NOUN
cana-3679	255	14	method	method	NOUN
cana-3679	255	15	alone	alone	ADV
cana-3679	255	16	in	in	ADP
cana-3679	255	17	prediction	prediction	NOUN
cana-3679	255	18	accuracy	accuracy	NOUN
cana-3679	255	19	.	.	PUNCT
cana-3679	256	1	the	the	DET
cana-3679	256	2	study	study	NOUN
cana-3679	256	3	emphasizes	emphasize	VERB
cana-3679	256	4	the	the	DET
cana-3679	256	5	importance	importance	NOUN
cana-3679	256	6	of	of	ADP
cana-3679	256	7	leveraging	leverage	VERB
cana-3679	256	8	various	various	ADJ
cana-3679	256	9	information	information	NOUN
cana-3679	256	10	sources	source	NOUN
cana-3679	256	11	.	.	PUNCT
cana-3679	257	1	and	and	CCONJ
cana-3679	257	2	advanced	advanced	ADJ
cana-3679	257	3	deep	deep	ADJ
cana-3679	257	4	learning	learning	NOUN
cana-3679	257	5	techniques	technique	NOUN
cana-3679	257	6	to	to	PART
cana-3679	257	7	address	address	VERB
cana-3679	257	8	the	the	DET
cana-3679	257	9	complexities	complexity	NOUN
cana-3679	257	10	of	of	ADP
cana-3679	257	11	singleness	singleness	NOUN
cana-3679	257	12	dynamics	dynamic	NOUN
cana-3679	257	13	.	.	PUNCT
cana-3679	258	1	the	the	DET
cana-3679	258	2	proposed	propose	VERB
cana-3679	258	3	method	method	NOUN
cana-3679	258	4	also	also	ADV
cana-3679	258	5	offers	offer	VERB
cana-3679	258	6	real	real	ADJ
cana-3679	258	7	-	-	PUNCT
cana-3679	258	8	time	time	NOUN
cana-3679	258	9	prediction	prediction	NOUN
cana-3679	258	10	capabilities	capability	NOUN
cana-3679	258	11	and	and	CCONJ
cana-3679	258	12	an	an	DET
cana-3679	258	13	efficient	efficient	ADJ
cana-3679	258	14	anomaly	anomaly	NOUN
cana-3679	258	15	detection	detection	NOUN
cana-3679	258	16	mechanism	mechanism	NOUN
cana-3679	258	17	.	.	PUNCT
cana-3679	259	1	this	this	PRON
cana-3679	259	2	makes	make	VERB
cana-3679	259	3	it	it	PRON
cana-3679	259	4	very	very	ADV
cana-3679	259	5	useful	useful	ADJ
cana-3679	259	6	for	for	ADP
cana-3679	259	7	agricultural	agricultural	ADJ
cana-3679	259	8	management	management	NOUN
cana-3679	259	9	.	.	PUNCT
cana-3679	260	1	irrigation	irrigation	NOUN
cana-3679	260	2	planning	planning	NOUN
cana-3679	260	3	and	and	CCONJ
cana-3679	260	4	environmental	environmental	ADJ
cana-3679	260	5	monitoring	monitoring	NOUN
cana-3679	260	6	.	.	PUNCT
cana-3679	261	1	in	in	ADP
cana-3679	261	2	addition	addition	NOUN
cana-3679	261	3	,	,	PUNCT
cana-3679	261	4	the	the	DET
cana-3679	261	5	use	use	NOUN
cana-3679	261	6	of	of	ADP
cana-3679	261	7	models	model	NOUN
cana-3679	261	8	on	on	ADP
cana-3679	261	9	the	the	DET
cana-3679	261	10	new	new	ADJ
cana-3679	261	11	platform	platform	NOUN
cana-3679	261	12	guarantees	guarantee	VERB
cana-3679	261	13	scalability	scalability	NOUN
cana-3679	261	14	and	and	CCONJ
cana-3679	261	15	perfect	perfect	ADJ
cana-3679	261	16	integration	integration	NOUN
cana-3679	261	17	with	with	ADP
cana-3679	261	18	decision	decision	NOUN
cana-3679	261	19	support	support	NOUN
cana-3679	261	20	systems	system	NOUN
cana-3679	261	21	.	.	PUNCT
cana-3679	262	1	the	the	DET
cana-3679	262	2	results	result	NOUN
cana-3679	262	3	are	be	AUX
cana-3679	262	4	promising	promise	VERB
cana-3679	262	5	,	,	PUNCT
cana-3679	262	6	though	though	ADV
cana-3679	262	7	.	.	PUNCT
cana-3679	263	1	but	but	CCONJ
cana-3679	263	2	this	this	DET
cana-3679	263	3	study	study	NOUN
cana-3679	263	4	acknowledges	acknowledge	VERB
cana-3679	263	5	the	the	DET
cana-3679	263	6	challenges	challenge	NOUN
cana-3679	263	7	involved	involve	VERB
cana-3679	263	8	in	in	ADP
cana-3679	263	9	adapting	adapt	VERB
cana-3679	263	10	models	model	NOUN
cana-3679	263	11	to	to	ADP
cana-3679	263	12	specific	specific	ADJ
cana-3679	263	13	regional	regional	ADJ
cana-3679	263	14	conditions	condition	NOUN
cana-3679	263	15	or	or	CCONJ
cana-3679	263	16	limited	limited	ADJ
cana-3679	263	17	data	data	NOUN
cana-3679	263	18	situations	situation	NOUN
cana-3679	263	19	.	.	PUNCT
cana-3679	264	1	future	future	ADJ
cana-3679	264	2	work	work	NOUN
cana-3679	264	3	may	may	AUX
cana-3679	264	4	involve	involve	VERB
cana-3679	264	5	further	further	ADJ
cana-3679	264	6	generalization	generalization	NOUN
cana-3679	264	7	of	of	ADP
cana-3679	264	8	the	the	DET
cana-3679	264	9	model	model	NOUN
cana-3679	264	10	.	.	PUNCT
cana-3679	265	1	combining	combine	VERB
cana-3679	265	2	additional	additional	ADJ
cana-3679	265	3	data	datum	NOUN
cana-3679	265	4	types	type	NOUN
cana-3679	265	5	and	and	CCONJ
cana-3679	265	6	extending	extend	VERB
cana-3679	265	7	the	the	DET
cana-3679	265	8	approach	approach	NOUN
cana-3679	265	9	to	to	ADP
cana-3679	265	10	other	other	ADJ
cana-3679	265	11	environmental	environmental	ADJ
cana-3679	265	12	forecasting	forecasting	NOUN
cana-3679	265	13	tasks	task	NOUN
cana-3679	265	14	.	.	PUNCT
cana-3679	266	1	overall	overall	ADV
cana-3679	266	2	,	,	PUNCT
cana-3679	266	3	the	the	DET
cana-3679	266	4	research	research	NOUN
cana-3679	266	5	contributes	contribute	VERB
cana-3679	266	6	to	to	ADP
cana-3679	266	7	new	new	ADJ
cana-3679	266	8	solutions	solution	NOUN
cana-3679	266	9	.	.	PUNCT
cana-3679	267	1	powerful	powerful	ADJ
cana-3679	267	2	and	and	CCONJ
cana-3679	267	3	accurate	accurate	ADJ
cana-3679	267	4	only	only	ADV
cana-3679	267	5	for	for	ADP
cana-3679	267	6	humidity	humidity	NOUN
cana-3679	267	7	forecasts	forecast	NOUN
cana-3679	267	8	.	.	PUNCT
cana-3679	268	1	it	it	PRON
cana-3679	268	2	has	have	VERB
cana-3679	268	3	a	a	DET
cana-3679	268	4	significant	significant	ADJ
cana-3679	268	5	impact	impact	NOUN
cana-3679	268	6	on	on	ADP
cana-3679	268	7	sustainable	sustainable	ADJ
cana-3679	268	8	resource	resource	NOUN
cana-3679	268	9	management	management	NOUN
cana-3679	268	10	and	and	CCONJ
cana-3679	268	11	climate	climate	NOUN
cana-3679	268	12	resilience	resilience	NOUN
cana-3679	268	13	.	.	PUNCT
cana-3679	269	1	6.1	6.1	NUM
cana-3679	269	2	.	.	PUNCT
cana-3679	270	1	future	future	ADJ
cana-3679	270	2	research	research	NOUN
cana-3679	270	3	directions	direction	NOUN
cana-3679	270	4	from	from	ADP
cana-3679	270	5	the	the	DET
cana-3679	270	6	results	result	NOUN
cana-3679	270	7	of	of	ADP
cana-3679	270	8	this	this	DET
cana-3679	270	9	research	research	NOUN
cana-3679	270	10	some	some	DET
cana-3679	270	11	future	future	ADJ
cana-3679	270	12	directions	direction	NOUN
cana-3679	270	13	can	can	AUX
cana-3679	270	14	be	be	AUX
cana-3679	270	15	pursued	pursue	VERB
cana-3679	270	16	to	to	PART
cana-3679	270	17	increase	increase	VERB
cana-3679	270	18	the	the	DET
cana-3679	270	19	accuracy	accuracy	NOUN
cana-3679	270	20	and	and	CCONJ
cana-3679	270	21	applicability	applicability	NOUN
cana-3679	270	22	of	of	ADP
cana-3679	270	23	deep	deep	ADJ
cana-3679	270	24	learning	learning	NOUN
cana-3679	270	25	-	-	PUNCT
cana-3679	270	26	only	only	ADV
cana-3679	270	27	urgent	urgent	ADJ
cana-3679	270	28	prediction	prediction	NOUN
cana-3679	270	29	models	model	NOUN
cana-3679	270	30	,	,	PUNCT
cana-3679	270	31	firstly	firstly	ADV
cana-3679	270	32	by	by	ADP
cana-3679	270	33	integrating	integrate	VERB
cana-3679	270	34	additional	additional	ADJ
cana-3679	270	35	data	datum	NOUN
cana-3679	270	36	sources	source	NOUN
cana-3679	270	37	such	such	ADJ
cana-3679	270	38	as	as	ADP
cana-3679	270	39	hyperspectral	hyperspectral	ADJ
cana-3679	270	40	images	image	NOUN
cana-3679	270	41	and	and	CCONJ
cana-3679	270	42	single	single	ADJ
cana-3679	270	43	data	datum	NOUN
cana-3679	270	44	types	type	NOUN
cana-3679	270	45	.	.	PUNCT
cana-3679	271	1	it	it	PRON
cana-3679	271	2	can	can	AUX
cana-3679	271	3	improve	improve	VERB
cana-3679	271	4	the	the	DET
cana-3679	271	5	context	context	NOUN
cana-3679	271	6	understanding	understand	VERB
cana-3679	271	7	communications	communication	NOUN
cana-3679	271	8	on	on	ADP
cana-3679	271	9	applied	apply	VERB
cana-3679	271	10	nonlinear	nonlinear	ADJ
cana-3679	271	11	analysis	analysis	NOUN
cana-3679	271	12	issn	issn	NOUN
cana-3679	271	13	:	:	PUNCT
cana-3679	271	14	1074	1074	NUM
cana-3679	271	15	-	-	PUNCT
cana-3679	271	16	133x	133x	NUM
cana-3679	271	17	vol	vol	NOUN
cana-3679	271	18	32	32	NUM
cana-3679	271	19	no	no	NOUN
cana-3679	271	20	.	.	PUNCT
cana-3679	272	1	8s	8s	PROPN
cana-3679	272	2	(	(	PUNCT
cana-3679	272	3	2025	2025	NUM
cana-3679	272	4	)	)	PUNCT
cana-3679	272	5	342	342	NUM
cana-3679	272	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	272	7	and	and	CCONJ
cana-3679	272	8	,	,	PUNCT
cana-3679	272	9	accuracy	accuracy	NOUN
cana-3679	272	10	of	of	ADP
cana-3679	272	11	the	the	DET
cana-3679	272	12	model	model	NOUN
cana-3679	272	13	under	under	ADP
cana-3679	272	14	various	various	ADJ
cana-3679	272	15	agricultural	agricultural	ADJ
cana-3679	272	16	and	and	CCONJ
cana-3679	272	17	environmental	environmental	ADJ
cana-3679	272	18	,	,	PUNCT
cana-3679	272	19	conditions	condition	NOUN
cana-3679	272	20	.	.	PUNCT
cana-3679	272	21	,	,	PUNCT
cana-3679	272	22	second	second	X
cana-3679	272	23	,	,	PUNCT
cana-3679	272	24	the	the	DET
cana-3679	272	25	development	development	NOUN
cana-3679	272	26	of	of	ADP
cana-3679	272	27	transfer	transfer	NOUN
cana-3679	272	28	learning	learning	NOUN
cana-3679	272	29	techniques	technique	NOUN
cana-3679	272	30	will	will	AUX
cana-3679	272	31	,	,	PUNCT
cana-3679	272	32	allow	allow	VERB
cana-3679	272	33	the	the	DET
cana-3679	272	34	proposed	propose	VERB
cana-3679	272	35	model	model	NOUN
cana-3679	272	36	to	to	PART
cana-3679	272	37	be	be	AUX
cana-3679	272	38	adapted	adapt	VERB
cana-3679	272	39	to	to	ADP
cana-3679	272	40	the	the	DET
cana-3679	272	41	company	company	NOUN
cana-3679	272	42	,	,	PUNCT
cana-3679	272	43	training	training	NOUN
cana-3679	272	44	data	datum	NOUN
cana-3679	272	45	region	region	NOUN
cana-3679	272	46	,	,	PUNCT
cana-3679	272	47	which	which	PRON
cana-3679	272	48	faces	face	VERB
cana-3679	272	49	challenges	challenge	NOUN
cana-3679	272	50	in	in	ADP
cana-3679	272	51	the	the	DET
cana-3679	272	52	data	data	NOUN
cana-3679	272	53	shortage	shortage	NOUN
cana-3679	272	54	situation	situation	NOUN
cana-3679	272	55	.	.	PUNCT
cana-3679	273	1	additionally	additionally	ADV
cana-3679	273	2	,	,	PUNCT
cana-3679	273	3	the	the	DET
cana-3679	273	4	inclusion	inclusion	NOUN
cana-3679	273	5	of	of	ADP
cana-3679	273	6	more	more	ADJ
cana-3679	273	7	explanatory	explanatory	ADJ
cana-3679	273	8	ia	ia	NOUN
cana-3679	273	9	techniques	technique	NOUN
cana-3679	273	10	can	can	AUX
cana-3679	273	11	improve	improve	VERB
cana-3679	273	12	model	model	NOUN
cana-3679	273	13	interpretation	interpretation	NOUN
cana-3679	273	14	.	.	PUNCT
cana-3679	274	1	help	help	VERB
cana-3679	274	2	stakeholders	stakeholder	NOUN
cana-3679	274	3	understand	understand	VERB
cana-3679	274	4	the	the	DET
cana-3679	274	5	decision	decision	NOUN
cana-3679	274	6	-	-	PUNCT
cana-3679	274	7	making	make	VERB
cana-3679	274	8	process	process	NOUN
cana-3679	274	9	and	and	CCONJ
cana-3679	274	10	build	build	VERB
cana-3679	274	11	confidence	confidence	NOUN
cana-3679	274	12	in	in	ADP
cana-3679	274	13	automation	automation	NOUN
cana-3679	274	14	.	.	PUNCT
cana-3679	275	1	research	research	NOUN
cana-3679	275	2	can	can	AUX
cana-3679	275	3	also	also	ADV
cana-3679	275	4	explore	explore	VERB
cana-3679	275	5	hybrid	hybrid	ADJ
cana-3679	275	6	architectures	architecture	NOUN
cana-3679	275	7	that	that	PRON
cana-3679	275	8	combine	combine	VERB
cana-3679	275	9	classical	classical	ADJ
cana-3679	275	10	statistical	statistical	ADJ
cana-3679	275	11	methods	method	NOUN
cana-3679	275	12	with	with	ADP
cana-3679	275	13	deep	deep	ADJ
cana-3679	275	14	learning	learning	NOUN
cana-3679	275	15	models	model	NOUN
cana-3679	275	16	to	to	PART
cana-3679	275	17	balance	balance	VERB
cana-3679	275	18	interpretability	interpretability	NOUN
cana-3679	275	19	and	and	CCONJ
cana-3679	275	20	predictive	predictive	ADJ
cana-3679	275	21	performance	performance	NOUN
cana-3679	275	22	.	.	PUNCT
cana-3679	276	1	models	model	NOUN
cana-3679	276	2	to	to	PART
cana-3679	276	3	predict	predict	VERB
cana-3679	276	4	relevant	relevant	ADJ
cana-3679	276	5	parameters	parameter	NOUN
cana-3679	276	6	such	such	ADJ
cana-3679	276	7	as	as	ADP
cana-3679	276	8	evapotranspiration	evapotranspiration	NOUN
cana-3679	276	9	and	and	CCONJ
cana-3679	276	10	groundwater	groundwater	NOUN
cana-3679	276	11	levels	level	NOUN
cana-3679	276	12	.	.	PUNCT
cana-3679	277	1	it	it	PRON
cana-3679	277	2	could	could	AUX
cana-3679	277	3	create	create	VERB
cana-3679	277	4	a	a	DET
cana-3679	277	5	more	more	ADV
cana-3679	277	6	open	open	ADJ
cana-3679	277	7	framework	framework	NOUN
cana-3679	277	8	for	for	ADP
cana-3679	277	9	water	water	NOUN
cana-3679	277	10	resource	resource	NOUN
cana-3679	277	11	management	management	NOUN
cana-3679	277	12	.	.	PUNCT
cana-3679	278	1	ultimately	ultimately	ADV
cana-3679	278	2	,	,	PUNCT
cana-3679	278	3	this	this	DET
cana-3679	278	4	research	research	NOUN
cana-3679	278	5	focuses	focus	VERB
cana-3679	278	6	on	on	ADP
cana-3679	278	7	real	real	ADJ
cana-3679	278	8	-	-	PUNCT
cana-3679	278	9	world	world	NOUN
cana-3679	278	10	applications	application	NOUN
cana-3679	278	11	such	such	ADJ
cana-3679	278	12	as	as	ADP
cana-3679	278	13	precision	precision	NOUN
cana-3679	278	14	agriculture	agriculture	NOUN
cana-3679	278	15	and	and	CCONJ
cana-3679	278	16	drought	drought	NOUN
cana-3679	278	17	relief	relief	NOUN
cana-3679	278	18	.	.	PUNCT
cana-3679	279	1	it	it	PRON
cana-3679	279	2	validates	validate	VERB
cana-3679	279	3	the	the	DET
cana-3679	279	4	model	model	NOUN
cana-3679	279	5	and	and	CCONJ
cana-3679	279	6	reveals	reveal	VERB
cana-3679	279	7	potential	potential	ADJ
cana-3679	279	8	scalability	scalability	NOUN
cana-3679	279	9	challenges	challenge	NOUN
cana-3679	279	10	.	.	PUNCT
cana-3679	280	1	these	these	DET
cana-3679	280	2	advances	advance	NOUN
cana-3679	280	3	will	will	AUX
cana-3679	280	4	further	far	ADV
cana-3679	280	5	establish	establish	VERB
cana-3679	280	6	the	the	DET
cana-3679	280	7	proposed	propose	VERB
cana-3679	280	8	method	method	NOUN
cana-3679	280	9	as	as	ADP
cana-3679	280	10	a	a	DET
cana-3679	280	11	reliable	reliable	ADJ
cana-3679	280	12	and	and	CCONJ
cana-3679	280	13	adaptable	adaptable	ADJ
cana-3679	280	14	solution	solution	NOUN
cana-3679	280	15	for	for	ADP
cana-3679	280	16	the	the	DET
cana-3679	280	17	immediate	immediate	ADJ
cana-3679	280	18	foresight	foresight	NOUN
cana-3679	280	19	of	of	ADP
cana-3679	280	20	individual	individual	ADJ
cana-3679	280	21	and	and	CCONJ
cana-3679	280	22	large	large	ADJ
cana-3679	280	23	-	-	PUNCT
cana-3679	280	24	scale	scale	NOUN
cana-3679	280	25	environmental	environmental	ADJ
cana-3679	280	26	management	management	NOUN
cana-3679	280	27	initiatives	initiative	NOUN
cana-3679	280	28	.	.	PUNCT
cana-3679	281	1	acknowledgements	acknowledgement	NOUN
cana-3679	281	2	:	:	PUNCT
cana-3679	281	3	the	the	DET
cana-3679	281	4	data	datum	NOUN
cana-3679	281	5	used	use	VERB
cana-3679	281	6	to	to	PART
cana-3679	281	7	support	support	VERB
cana-3679	281	8	the	the	DET
cana-3679	281	9	findings	finding	NOUN
cana-3679	281	10	of	of	ADP
cana-3679	281	11	this	this	DET
cana-3679	281	12	study	study	NOUN
cana-3679	281	13	are	be	AUX
cana-3679	281	14	included	include	VERB
cana-3679	281	15	in	in	ADP
cana-3679	281	16	the	the	DET
cana-3679	281	17	article	article	NOUN
cana-3679	281	18	.	.	PUNCT
cana-3679	282	1	conflicts	conflict	NOUN
cana-3679	282	2	of	of	ADP
cana-3679	282	3	interest	interest	NOUN
cana-3679	282	4	:	:	PUNCT
cana-3679	282	5	there	there	PRON
cana-3679	282	6	is	be	VERB
cana-3679	282	7	no	no	DET
cana-3679	282	8	conflict	conflict	NOUN
cana-3679	282	9	of	of	ADP
cana-3679	282	10	interest	interest	NOUN
cana-3679	282	11	with	with	ADP
cana-3679	282	12	anybody	anybody	PRON
cana-3679	282	13	or	or	CCONJ
cana-3679	282	14	organization	organization	NOUN
cana-3679	282	15	.	.	PUNCT
cana-3679	283	1	refrences	refrence	VERB
cana-3679	284	1	[	[	X
cana-3679	284	2	1	1	X
cana-3679	284	3	]	]	PUNCT
cana-3679	284	4	hegazi	hegazi	X
cana-3679	284	5	eh	eh	INTJ
cana-3679	284	6	,	,	PUNCT
cana-3679	284	7	samak	samak	PROPN
cana-3679	284	8	aa	aa	PROPN
cana-3679	284	9	,	,	PUNCT
cana-3679	284	10	yang	yang	PROPN
cana-3679	284	11	l	l	PROPN
cana-3679	284	12	,	,	PUNCT
cana-3679	284	13	huang	huang	PROPN
cana-3679	284	14	r	r	PROPN
cana-3679	284	15	,	,	PUNCT
cana-3679	284	16	huang	huang	PROPN
cana-3679	284	17	j.	j.	PROPN
cana-3679	284	18	2023	2023	PROPN
cana-3679	284	19	.	.	PUNCT
cana-3679	284	20	prediction	prediction	NOUN
cana-3679	284	21	of	of	ADP
cana-3679	284	22	soil	soil	NOUN
cana-3679	284	23	moisture	moisture	NOUN
cana-3679	284	24	content	content	NOUN
cana-3679	284	25	from	from	ADP
cana-3679	284	26	sentinel-2	sentinel-2	ADJ
cana-3679	284	27	images	image	NOUN
cana-3679	284	28	using	use	VERB
cana-3679	284	29	convolutional	convolutional	ADJ
cana-3679	284	30	neural	neural	ADJ
cana-3679	284	31	network	network	NOUN
cana-3679	284	32	(	(	PUNCT
cana-3679	284	33	cnn	cnn	PROPN
cana-3679	284	34	)	)	PUNCT
cana-3679	284	35	.	.	PUNCT
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cana-3679	285	2	.	.	PUNCT
cana-3679	286	1	13(3):656	13(3):656	NUM
cana-3679	286	2	.	.	PUNCT
cana-3679	287	1	doi	doi	NOUN
cana-3679	287	2	:	:	PUNCT
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cana-3679	287	4	/	/	SYM
cana-3679	287	5	agronomy13030656	agronomy13030656	PROPN
cana-3679	287	6	.	.	PUNCT
cana-3679	288	1	[	[	X
cana-3679	288	2	2	2	X
cana-3679	288	3	]	]	X
cana-3679	288	4	huang	huang	PROPN
cana-3679	288	5	f	f	PROPN
cana-3679	288	6	,	,	PUNCT
cana-3679	288	7	zhang	zhang	PROPN
cana-3679	288	8	y	y	PROPN
cana-3679	288	9	,	,	PUNCT
cana-3679	288	10	zhang	zhang	PROPN
cana-3679	288	11	y	y	PROPN
cana-3679	288	12	,	,	PUNCT
cana-3679	288	13	shangguan	shangguan	PROPN
cana-3679	288	14	w	w	PROPN
cana-3679	288	15	,	,	PUNCT
cana-3679	288	16	li	li	PROPN
cana-3679	288	17	q	q	PROPN
cana-3679	288	18	,	,	PUNCT
cana-3679	288	19	li	li	PROPN
cana-3679	288	20	l	l	PROPN
cana-3679	288	21	,	,	PUNCT
cana-3679	288	22	jiang	jiang	PROPN
cana-3679	288	23	s.	s.	PROPN
cana-3679	288	24	2023	2023	NUM
cana-3679	288	25	.	.	PUNCT
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cana-3679	289	4	for	for	ADP
cana-3679	289	5	spatio	spatio	NOUN
cana-3679	289	6	-	-	PUNCT
cana-3679	289	7	temporal	temporal	ADJ
cana-3679	289	8	soil	soil	NOUN
cana-3679	289	9	moisture	moisture	NOUN
cana-3679	289	10	prediction	prediction	NOUN
cana-3679	289	11	in	in	ADP
cana-3679	289	12	china	china	PROPN
cana-3679	289	13	.	.	PUNCT
cana-3679	290	1	agriculture	agriculture	PROPN
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cana-3679	291	1	13(5):971	13(5):971	X
cana-3679	291	2	.	.	PUNCT
cana-3679	292	1	doi	doi	NOUN
cana-3679	292	2	:	:	PUNCT
cana-3679	292	3	10.3390	10.3390	NUM
cana-3679	292	4	/	/	SYM
cana-3679	292	5	agriculture13050971	agriculture13050971	PROPN
cana-3679	292	6	.	.	PUNCT
cana-3679	293	1	[	[	X
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cana-3679	293	3	]	]	X
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cana-3679	293	5	s	s	PROPN
cana-3679	293	6	-	-	PUNCT
cana-3679	293	7	h	h	PROPN
cana-3679	293	8	,	,	PUNCT
cana-3679	293	9	lee	lee	PROPN
cana-3679	293	10	b	b	PROPN
cana-3679	293	11	-	-	PUNCT
cana-3679	293	12	y	y	PROPN
cana-3679	293	13	,	,	PUNCT
cana-3679	293	14	kim	kim	PROPN
cana-3679	293	15	m	m	PROPN
cana-3679	293	16	-	-	PROPN
cana-3679	293	17	j	j	PROPN
cana-3679	293	18	,	,	PUNCT
cana-3679	293	19	sang	sing	VERB
cana-3679	293	20	w	w	ADP
cana-3679	293	21	,	,	PUNCT
cana-3679	293	22	seo	seo	PROPN
cana-3679	293	23	mc	mc	PROPN
cana-3679	293	24	,	,	PUNCT
cana-3679	293	25	baek	baek	PROPN
cana-3679	293	26	j	j	PROPN
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cana-3679	293	28	k	k	PROPN
cana-3679	293	29	,	,	PUNCT
cana-3679	293	30	yang	yang	PROPN
cana-3679	293	31	je	je	PROPN
cana-3679	293	32	,	,	PUNCT
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cana-3679	293	34	c.	c.	PROPN
cana-3679	293	35	2023	2023	NUM
cana-3679	293	36	.	.	PUNCT
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cana-3679	294	2	of	of	ADP
cana-3679	294	3	a	a	DET
cana-3679	294	4	soil	soil	NOUN
cana-3679	294	5	moisture	moisture	NOUN
cana-3679	294	6	prediction	prediction	NOUN
cana-3679	294	7	model	model	NOUN
cana-3679	294	8	based	base	VERB
cana-3679	294	9	on	on	ADP
cana-3679	294	10	recurrent	recurrent	ADJ
cana-3679	294	11	neural	neural	ADJ
cana-3679	294	12	network	network	NOUN
cana-3679	294	13	long	long	ADJ
cana-3679	294	14	short	short	ADJ
cana-3679	294	15	-	-	PUNCT
cana-3679	294	16	term	term	NOUN
cana-3679	294	17	memory	memory	NOUN
cana-3679	294	18	(	(	PUNCT
cana-3679	294	19	rnn	rnn	NOUN
cana-3679	294	20	-	-	PUNCT
cana-3679	294	21	lstm	lstm	NOUN
cana-3679	294	22	)	)	PUNCT
cana-3679	294	23	in	in	ADP
cana-3679	294	24	soybean	soybean	NOUN
cana-3679	294	25	cultivation	cultivation	NOUN
cana-3679	294	26	.	.	PUNCT
cana-3679	295	1	sensors	sensor	NOUN
cana-3679	295	2	.	.	PUNCT
cana-3679	296	1	23(4):1976	23(4):1976	X
cana-3679	296	2	.	.	PUNCT
cana-3679	297	1	doi	doi	NOUN
cana-3679	297	2	:	:	PUNCT
cana-3679	297	3	10.3390	10.3390	NUM
cana-3679	297	4	/	/	SYM
cana-3679	297	5	s23041976	s23041976	NOUN
cana-3679	297	6	.	.	PUNCT
cana-3679	298	1	[	[	X
cana-3679	298	2	4	4	X
cana-3679	298	3	]	]	X
cana-3679	298	4	singh	singh	PROPN
cana-3679	298	5	a	a	X
cana-3679	298	6	,	,	PUNCT
cana-3679	298	7	gaurav	gaurav	PROPN
cana-3679	298	8	k.	k.	PROPN
cana-3679	298	9	2023	2023	NUM
cana-3679	298	10	.	.	PUNCT
cana-3679	299	1	deep	deep	ADJ
cana-3679	299	2	learning	learning	NOUN
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cana-3679	299	4	data	datum	NOUN
cana-3679	299	5	fusion	fusion	NOUN
cana-3679	299	6	to	to	PART
cana-3679	299	7	estimate	estimate	VERB
cana-3679	299	8	surface	surface	NOUN
cana-3679	299	9	soil	soil	NOUN
cana-3679	299	10	moisture	moisture	NOUN
cana-3679	299	11	from	from	ADP
cana-3679	299	12	multi	multi	ADJ
cana-3679	299	13	-	-	ADJ
cana-3679	299	14	sensor	sensor	ADJ
cana-3679	299	15	satellite	satellite	NOUN
cana-3679	299	16	images	image	NOUN
cana-3679	299	17	.	.	PUNCT
cana-3679	300	1	scientific	scientific	ADJ
cana-3679	300	2	reports	report	NOUN
cana-3679	300	3	.	.	PUNCT
cana-3679	301	1	13(1):2251	13(1):2251	X
cana-3679	301	2	.	.	PUNCT
cana-3679	301	3	doi	doi	NOUN
cana-3679	301	4	:	:	PUNCT
cana-3679	301	5	10.1038	10.1038	NUM
cana-3679	301	6	/	/	SYM
cana-3679	301	7	s41598	s41598	NOUN
cana-3679	301	8	-	-	PUNCT
cana-3679	301	9	023	023	NUM
cana-3679	301	10	-	-	PUNCT
cana-3679	301	11	28939	28939	NUM
cana-3679	301	12	-	-	SYM
cana-3679	301	13	9	9	NUM
cana-3679	301	14	.	.	PUNCT
cana-3679	302	1	[	[	X
cana-3679	302	2	5	5	X
cana-3679	302	3	]	]	X
cana-3679	302	4	singh	singh	PROPN
cana-3679	302	5	a	a	X
cana-3679	302	6	,	,	PUNCT
cana-3679	302	7	gaurav	gaurav	PROPN
cana-3679	302	8	k	k	PROPN
cana-3679	302	9	,	,	PUNCT
cana-3679	302	10	sonkar	sonkar	PROPN
cana-3679	302	11	gk	gk	PROPN
cana-3679	302	12	,	,	PUNCT
cana-3679	302	13	lee	lee	PROPN
cana-3679	302	14	c	c	PROPN
cana-3679	302	15	-	-	PUNCT
cana-3679	302	16	c.	c.	PROPN
cana-3679	302	17	2023	2023	NUM
cana-3679	302	18	.	.	PUNCT
cana-3679	303	1	strategies	strategy	NOUN
cana-3679	303	2	to	to	PART
cana-3679	303	3	measure	measure	VERB
cana-3679	303	4	soil	soil	NOUN
cana-3679	303	5	moisture	moisture	NOUN
cana-3679	303	6	using	use	VERB
cana-3679	303	7	traditional	traditional	ADJ
cana-3679	303	8	methods	method	NOUN
cana-3679	303	9	,	,	PUNCT
cana-3679	303	10	automated	automate	VERB
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cana-3679	303	12	,	,	PUNCT
cana-3679	303	13	remote	remote	ADJ
cana-3679	303	14	sensing	sensing	NOUN
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cana-3679	303	16	and	and	CCONJ
cana-3679	303	17	machine	machine	NOUN
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cana-3679	303	19	techniques	technique	NOUN
cana-3679	303	20	:	:	PUNCT
cana-3679	303	21	review	review	NOUN
cana-3679	303	22	,	,	PUNCT
cana-3679	303	23	bibliometric	bibliometric	ADJ
cana-3679	303	24	analysis	analysis	NOUN
cana-3679	303	25	,	,	PUNCT
cana-3679	303	26	applications	application	NOUN
cana-3679	303	27	,	,	PUNCT
cana-3679	303	28	research	research	NOUN
cana-3679	303	29	findings	finding	NOUN
cana-3679	303	30	,	,	PUNCT
cana-3679	303	31	and	and	CCONJ
cana-3679	303	32	future	future	ADJ
cana-3679	303	33	directions	direction	NOUN
cana-3679	303	34	.	.	PUNCT
cana-3679	304	1	ieee	ieee	NOUN
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cana-3679	304	3	.	.	PUNCT
cana-3679	305	1	11:13605–13635	11:13605–13635	X
cana-3679	305	2	.	.	PUNCT
cana-3679	305	3	doi	doi	PROPN
cana-3679	305	4	:	:	PUNCT
cana-3679	305	5	10.1109	10.1109	NUM
cana-3679	305	6	/	/	SYM
cana-3679	305	7	access.2023.3243635	access.2023.3243635	NOUN
cana-3679	305	8	.	.	PUNCT
cana-3679	306	1	[	[	X
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cana-3679	306	3	]	]	PUNCT
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cana-3679	306	10	hu	hu	PROPN
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cana-3679	306	20	l.	l.	PROPN
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cana-3679	307	1	a	a	DET
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cana-3679	308	4	system	system	NOUN
cana-3679	308	5	sciences	science	NOUN
cana-3679	308	6	discussions	discussion	NOUN
cana-3679	308	7	.	.	PUNCT
cana-3679	309	1	28:1–38	28:1–38	NUM
cana-3679	309	2	..	..	PUNCT
cana-3679	310	1	[	[	X
cana-3679	310	2	7	7	X
cana-3679	310	3	]	]	X
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cana-3679	310	29	:	:	PUNCT
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cana-3679	310	35	data	datum	NOUN
cana-3679	310	36	by	by	ADP
cana-3679	310	37	using	use	VERB
cana-3679	310	38	a	a	DET
cana-3679	310	39	deep	deep	ADJ
cana-3679	310	40	belief	belief	NOUN
cana-3679	310	41	network	network	NOUN
cana-3679	310	42	.	.	PUNCT
cana-3679	311	1	remote	remote	ADJ
cana-3679	311	2	sensing	sensing	NOUN
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cana-3679	312	2	8	8	NUM
cana-3679	312	3	]	]	X
cana-3679	312	4	wang	wang	PROPN
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cana-3679	312	10	.	.	PUNCT
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cana-3679	313	11	moisture	moisture	NOUN
cana-3679	313	12	prediction	prediction	NOUN
cana-3679	313	13	in	in	ADP
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cana-3679	313	15	-	-	PUNCT
cana-3679	313	16	groundwater	groundwater	NOUN
cana-3679	313	17	-	-	PUNCT
cana-3679	313	18	level	level	NOUN
cana-3679	313	19	areas	area	NOUN
cana-3679	313	20	with	with	ADP
cana-3679	313	21	interpretability	interpretability	NOUN
cana-3679	313	22	analysis	analysis	NOUN
cana-3679	313	23	.	.	PUNCT
cana-3679	314	1	agric	agric	ADJ
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cana-3679	314	4	.	.	PUNCT
cana-3679	315	1	305:109120	305:109120	X
cana-3679	315	2	.	.	PUNCT
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cana-3679	316	2	:	:	PUNCT
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cana-3679	317	3	]	]	SYM
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cana-3679	317	11	w.	w.	PROPN
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cana-3679	317	16	s.	s.	PROPN
cana-3679	317	17	read	read	VERB
cana-3679	317	18	,	,	PUNCT
cana-3679	317	19	and	and	CCONJ
cana-3679	317	20	v.	v.	ADP
cana-3679	317	21	kumar	kumar	PROPN
cana-3679	317	22	,	,	PUNCT
cana-3679	317	23	2022	2022	NUM
cana-3679	317	24	:	:	PUNCT
cana-3679	317	25	physics	physics	NOUN
cana-3679	317	26	-	-	PUNCT
cana-3679	317	27	guided	guide	VERB
cana-3679	317	28	neural	neural	ADJ
cana-3679	317	29	networks	network	NOUN
cana-3679	317	30	(	(	PUNCT
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cana-3679	317	32	):	):	PUNCT
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cana-3679	317	35	in	in	ADP
cana-3679	317	36	lake	lake	NOUN
cana-3679	317	37	temperature	temperature	NOUN
cana-3679	317	38	modeling	modeling	NOUN
cana-3679	317	39	.	.	PUNCT
cana-3679	318	1	knowledge	knowledge	NOUN
cana-3679	318	2	guided	guide	VERB
cana-3679	318	3	machine	machine	NOUN
cana-3679	318	4	learning	learning	NOUN
cana-3679	318	5	,	,	PUNCT
cana-3679	318	6	chapman	chapman	NOUN
cana-3679	318	7	and	and	CCONJ
cana-3679	318	8	hall	hall	PROPN
cana-3679	318	9	/	/	SYM
cana-3679	318	10	crc	crc	PROPN
cana-3679	318	11	,	,	PUNCT
cana-3679	318	12	353	353	NUM
cana-3679	318	13	–	–	PUNCT
cana-3679	318	14	372	372	NUM
cana-3679	318	15	.	.	PUNCT
cana-3679	319	1	[	[	X
cana-3679	319	2	10	10	NUM
cana-3679	319	3	]	]	X
cana-3679	319	4	feng	feng	X
cana-3679	319	5	,	,	PUNCT
cana-3679	319	6	d.	d.	PROPN
cana-3679	319	7	p.	p.	PROPN
cana-3679	319	8	,	,	PUNCT
cana-3679	319	9	j.	j.	PROPN
cana-3679	319	10	t.	t.	PROPN
cana-3679	319	11	liu	liu	PROPN
cana-3679	319	12	,	,	PUNCT
cana-3679	319	13	k.	k.	PROPN
cana-3679	319	14	lawson	lawson	PROPN
cana-3679	319	15	,	,	PUNCT
cana-3679	319	16	and	and	CCONJ
cana-3679	319	17	c.	c.	PROPN
cana-3679	319	18	p.	p.	PROPN
cana-3679	319	19	shen	shen	PROPN
cana-3679	319	20	,	,	PUNCT
cana-3679	319	21	2022	2022	NUM
cana-3679	319	22	:	:	PUNCT
cana-3679	319	23	differentiable	differentiable	ADJ
cana-3679	319	24	,	,	PUNCT
cana-3679	319	25	learnable	learnable	ADJ
cana-3679	319	26	,	,	PUNCT
cana-3679	319	27	regionalized	regionalize	VERB
cana-3679	319	28	process	process	NOUN
cana-3679	319	29	-	-	PUNCT
cana-3679	319	30	based	base	VERB
cana-3679	319	31	models	model	NOUN
cana-3679	319	32	with	with	ADP
cana-3679	319	33	multiphysical	multiphysical	ADJ
cana-3679	319	34	outputs	output	NOUN
cana-3679	319	35	can	can	AUX
cana-3679	319	36	approach	approach	VERB
cana-3679	319	37	state	state	NOUN
cana-3679	319	38	-	-	PUNCT
cana-3679	319	39	of	of	ADP
cana-3679	319	40	-	-	PUNCT
cana-3679	319	41	the	the	DET
cana-3679	319	42	-	-	PUNCT
cana-3679	319	43	art	art	NOUN
cana-3679	319	44	hydrologic	hydrologic	NOUN
cana-3679	319	45	prediction	prediction	NOUN
cana-3679	319	46	accuracy	accuracy	NOUN
cana-3679	319	47	.	.	PUNCT
cana-3679	320	1	water	water	NOUN
cana-3679	320	2	resour	resour	NOUN
cana-3679	320	3	.	.	PUNCT
cana-3679	321	1	res	re	NOUN
cana-3679	321	2	.	.	PROPN
cana-3679	321	3	,	,	PUNCT
cana-3679	321	4	58	58	NUM
cana-3679	321	5	,	,	PUNCT
cana-3679	321	6	e2022wr032404	e2022wr032404	PROPN
cana-3679	321	7	,	,	PUNCT
cana-3679	321	8	https://doi.org/10.1029/2022wr032404	https://doi.org/10.1029/2022wr032404	PROPN
cana-3679	321	9	.	.	PUNCT
cana-3679	322	1	[	[	X
cana-3679	322	2	11	11	NUM
cana-3679	322	3	]	]	X
cana-3679	322	4	kannan	kannan	PROPN
cana-3679	322	5	,	,	PUNCT
cana-3679	322	6	a.	a.	PROPN
cana-3679	322	7	,	,	PUNCT
cana-3679	322	8	g.	g.	PROPN
cana-3679	322	9	tsagkatakis	tsagkatakis	PROPN
cana-3679	322	10	,	,	PUNCT
cana-3679	322	11	r.	r.	NOUN
cana-3679	322	12	akbar	akbar	PROPN
cana-3679	322	13	,	,	PUNCT
cana-3679	322	14	d.	d.	PROPN
cana-3679	322	15	selva	selva	PROPN
cana-3679	322	16	,	,	PUNCT
cana-3679	322	17	v.	v.	PROPN
cana-3679	322	18	ravindra	ravindra	PROPN
cana-3679	322	19	,	,	PUNCT
cana-3679	322	20	r.	r.	PROPN
cana-3679	322	21	levinson	levinson	PROPN
cana-3679	322	22	,	,	PUNCT
cana-3679	322	23	s.	s.	PROPN
cana-3679	322	24	nag	nag	VERB
cana-3679	322	25	,	,	PUNCT
cana-3679	322	26	and	and	CCONJ
cana-3679	322	27	m.	m.	NOUN
cana-3679	322	28	moghaddam	moghaddam	NOUN
cana-3679	322	29	,	,	PUNCT
cana-3679	322	30	2022	2022	NUM
cana-3679	322	31	:	:	PUNCT
cana-3679	322	32	forecasting	forecast	VERB
cana-3679	322	33	soil	soil	NOUN
cana-3679	322	34	moisture	moisture	NOUN
cana-3679	322	35	using	use	VERB
cana-3679	322	36	a	a	DET
cana-3679	322	37	deep	deep	ADJ
cana-3679	322	38	learning	learning	NOUN
cana-3679	322	39	model	model	NOUN
cana-3679	322	40	integrated	integrate	VERB
cana-3679	322	41	with	with	ADP
cana-3679	322	42	passive	passive	ADJ
cana-3679	322	43	microwave	microwave	NOUN
cana-3679	322	44	retrieval	retrieval	NOUN
cana-3679	322	45	.	.	PUNCT
cana-3679	323	1	preprints	preprint	NOUN
cana-3679	323	2	,	,	PUNCT
cana-3679	323	3	igarss	igarss	VERB
cana-3679	323	4	2022–2022	2022–2022	NUM
cana-3679	323	5	ieee	ieee	NOUN
cana-3679	323	6	international	international	ADJ
cana-3679	323	7	geoscience	geoscience	PROPN
cana-3679	323	8	and	and	CCONJ
cana-3679	323	9	remote	remote	ADJ
cana-3679	323	10	sensing	sense	VERB
cana-3679	323	11	symposium	symposium	NOUN
cana-3679	323	12	,	,	PUNCT
cana-3679	323	13	kuala	kuala	PROPN
cana-3679	323	14	lumpur	lumpur	PROPN
cana-3679	323	15	,	,	PUNCT
cana-3679	323	16	malaysia	malaysia	PROPN
cana-3679	323	17	,	,	PUNCT
cana-3679	323	18	ieee	ieee	PROPN
cana-3679	323	19	,	,	PUNCT
cana-3679	323	20	6112–6114	6112–6114	NUM
cana-3679	323	21	,	,	PUNCT
cana-3679	323	22	https://doi.org/10.1109/igarss46834.2022.9883245	https://doi.org/10.1109/igarss46834.2022.9883245	PROPN
cana-3679	323	23	.	.	PUNCT
cana-3679	324	1	communications	communication	NOUN
cana-3679	324	2	on	on	ADP
cana-3679	324	3	applied	apply	VERB
cana-3679	324	4	nonlinear	nonlinear	ADJ
cana-3679	324	5	analysis	analysis	NOUN
cana-3679	324	6	issn	issn	NOUN
cana-3679	324	7	:	:	PUNCT
cana-3679	324	8	1074	1074	NUM
cana-3679	324	9	-	-	PUNCT
cana-3679	324	10	133x	133x	NUM
cana-3679	324	11	vol	vol	NOUN
cana-3679	324	12	32	32	NUM
cana-3679	324	13	no	no	NOUN
cana-3679	324	14	.	.	PUNCT
cana-3679	325	1	8s	8s	PROPN
cana-3679	325	2	(	(	PUNCT
cana-3679	325	3	2025	2025	NUM
cana-3679	325	4	)	)	PUNCT
cana-3679	325	5	343	343	NUM
cana-3679	325	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3679	326	1	[	[	X
cana-3679	326	2	12	12	NUM
cana-3679	326	3	]	]	X
cana-3679	326	4	lee	lee	PROPN
cana-3679	326	5	,	,	PUNCT
cana-3679	326	6	j.	j.	PROPN
cana-3679	326	7	,	,	PUNCT
cana-3679	326	8	s.	s.	PROPN
cana-3679	326	9	park	park	PROPN
cana-3679	326	10	,	,	PUNCT
cana-3679	326	11	j.	j.	PROPN
cana-3679	326	12	i	i	PROPN
cana-3679	326	13	m	m	PROPN
cana-3679	326	14	,	,	PUNCT
cana-3679	326	15	c.	c.	PROPN
cana-3679	326	16	yoo	yoo	PROPN
cana-3679	326	17	,	,	PUNCT
cana-3679	326	18	and	and	CCONJ
cana-3679	326	19	e.	e.	PROPN
cana-3679	326	20	seo	seo	PROPN
cana-3679	326	21	,	,	PUNCT
cana-3679	326	22	2022	2022	NUM
cana-3679	326	23	:	:	PUNCT
cana-3679	326	24	improved	improve	VERB
cana-3679	326	25	soil	soil	NOUN
cana-3679	326	26	moisture	moisture	NOUN
cana-3679	326	27	estimation	estimation	NOUN
cana-3679	326	28	:	:	PUNCT
cana-3679	326	29	synergistic	synergistic	ADJ
cana-3679	326	30	use	use	NOUN
cana-3679	326	31	of	of	ADP
cana-3679	326	32	satellite	satellite	NOUN
cana-3679	326	33	observations	observation	NOUN
cana-3679	326	34	and	and	CCONJ
cana-3679	326	35	land	land	NOUN
cana-3679	326	36	surface	surface	NOUN
cana-3679	326	37	models	model	NOUN
cana-3679	326	38	over	over	ADP
cana-3679	326	39	conus	conus	NOUN
cana-3679	326	40	based	base	VERB
cana-3679	326	41	on	on	ADP
cana-3679	326	42	machine	machine	NOUN
cana-3679	326	43	learning	learning	NOUN
cana-3679	326	44	.	.	PUNCT
cana-3679	327	1	j.	j.	PROPN
cana-3679	327	2	hydrol	hydrol	PROPN
cana-3679	327	3	.	.	PUNCT
cana-3679	327	4	,	,	PUNCT
cana-3679	327	5	609	609	NUM
cana-3679	327	6	,	,	PUNCT
cana-3679	327	7	127749	127749	NUM
cana-3679	327	8	,	,	PUNCT
cana-3679	327	9	https://doi.org/10.1016/j.jhydrol.2022.127749	https://doi.org/10.1016/j.jhydrol.2022.127749	NOUN
cana-3679	327	10	.	.	PUNCT
cana-3679	328	1	[	[	X
cana-3679	328	2	13	13	NUM
cana-3679	328	3	]	]	SYM
cana-3679	328	4	li	li	PROPN
cana-3679	328	5	,	,	PUNCT
cana-3679	328	6	l.	l.	PROPN
cana-3679	328	7	,	,	PUNCT
cana-3679	328	8	y.	y.	PROPN
cana-3679	328	9	j.	j.	PROPN
cana-3679	328	10	dai	dai	PROPN
cana-3679	328	11	,	,	PUNCT
cana-3679	328	12	w.	w.	PROPN
cana-3679	328	13	shangguan	shangguan	PROPN
cana-3679	328	14	,	,	PUNCT
cana-3679	328	15	n.	n.	PROPN
cana-3679	328	16	wei	wei	PROPN
cana-3679	328	17	,	,	PUNCT
cana-3679	328	18	z.	z.	PROPN
cana-3679	328	19	w.	w.	PROPN
cana-3679	328	20	wei	wei	PROPN
cana-3679	328	21	,	,	PUNCT
cana-3679	328	22	and	and	CCONJ
cana-3679	328	23	s.	s.	PROPN
cana-3679	328	24	gupta	gupta	PROPN
cana-3679	328	25	,	,	PUNCT
cana-3679	328	26	2022a	2022a	NUM
cana-3679	328	27	:	:	PUNCT
cana-3679	328	28	multistep	multistep	ADJ
cana-3679	328	29	forecasting	forecasting	NOUN
cana-3679	328	30	of	of	ADP
cana-3679	328	31	soil	soil	NOUN
cana-3679	328	32	moisture	moisture	NOUN
cana-3679	328	33	using	use	VERB
cana-3679	328	34	spatiotemporal	spatiotemporal	ADJ
cana-3679	328	35	deep	deep	ADJ
cana-3679	328	36	encoder	encoder	NOUN
cana-3679	328	37	-	-	PUNCT
cana-3679	328	38	decoder	decoder	NOUN
cana-3679	328	39	networks	network	NOUN
cana-3679	328	40	.	.	PUNCT
cana-3679	329	1	journal	journal	NOUN
cana-3679	329	2	of	of	ADP
cana-3679	329	3	hydrometeorology	hydrometeorology	NOUN
cana-3679	329	4	,	,	PUNCT
cana-3679	329	5	23	23	NUM
cana-3679	329	6	,	,	PUNCT
cana-3679	329	7	337–350	337–350	NUM
cana-3679	329	8	,	,	PUNCT
cana-3679	329	9	https://doi.org/10.1175/jhm-d-21-0131.1	https://doi.org/10.1175/jhm-d-21-0131.1	PROPN
cana-3679	329	10	.	.	PUNCT
cana-3679	330	1	[	[	X
cana-3679	330	2	14	14	NUM
cana-3679	330	3	]	]	X
cana-3679	330	4	liu	liu	PROPN
cana-3679	330	5	,	,	PUNCT
cana-3679	330	6	l.	l.	PROPN
cana-3679	330	7	c.	c.	PROPN
cana-3679	330	8	,	,	PUNCT
cana-3679	330	9	and	and	CCONJ
cana-3679	330	10	coauthors	coauthor	NOUN
cana-3679	330	11	,	,	PUNCT
cana-3679	330	12	2022	2022	NUM
cana-3679	330	13	:	:	PUNCT
cana-3679	330	14	kgml	kgml	PROPN
cana-3679	330	15	-	-	PUNCT
cana-3679	330	16	ag	ag	PROPN
cana-3679	330	17	:	:	PUNCT
cana-3679	330	18	a	a	DET
cana-3679	330	19	modeling	modeling	NOUN
cana-3679	330	20	framework	framework	NOUN
cana-3679	330	21	of	of	ADP
cana-3679	330	22	knowledge	knowledge	NOUN
cana-3679	330	23	-	-	PUNCT
cana-3679	330	24	guided	guide	VERB
cana-3679	330	25	machine	machine	NOUN
cana-3679	330	26	learning	learn	VERB
cana-3679	330	27	to	to	PART
cana-3679	330	28	simulate	simulate	VERB
cana-3679	330	29	agroecosystems	agroecosystem	NOUN
cana-3679	330	30	:	:	PUNCT
cana-3679	330	31	a	a	DET
cana-3679	330	32	case	case	NOUN
cana-3679	330	33	study	study	NOUN
cana-3679	330	34	of	of	ADP
cana-3679	330	35	estimating	estimate	VERB
cana-3679	330	36	n2o	n2o	NOUN
cana-3679	330	37	emission	emission	NOUN
cana-3679	330	38	using	use	VERB
cana-3679	330	39	data	datum	NOUN
cana-3679	330	40	from	from	ADP
cana-3679	330	41	mesocosm	mesocosm	ADJ
cana-3679	330	42	experiments	experiment	NOUN
cana-3679	330	43	.	.	PUNCT
cana-3679	331	1	geoscientific	geoscientific	PROPN
cana-3679	331	2	model	model	PROPN
cana-3679	331	3	development	development	PROPN
cana-3679	331	4	,	,	PUNCT
cana-3679	331	5	15	15	NUM
cana-3679	331	6	,	,	PUNCT
cana-3679	331	7	2839–2858	2839–2858	NUM
cana-3679	331	8	,	,	PUNCT
cana-3679	331	9	https://doi.org/10.5194/gmd-15-2839-2022..0302	https://doi.org/10.5194/gmd-15-2839-2022..0302	NOUN
cana-3679	331	10	[	[	X
cana-3679	331	11	15	15	NUM
cana-3679	331	12	]	]	X
cana-3679	331	13	sabzipour	sabzipour	NOUN
cana-3679	331	14	,	,	PUNCT
cana-3679	331	15	b.	b.	PROPN
cana-3679	331	16	;	;	PUNCT
cana-3679	331	17	arsenault	arsenault	PROPN
cana-3679	331	18	,	,	PUNCT
cana-3679	331	19	r.	r.	PROPN
cana-3679	331	20	;	;	PUNCT
cana-3679	331	21	troin	troin	NOUN
cana-3679	331	22	,	,	PUNCT
cana-3679	331	23	m.	m.	NOUN
cana-3679	331	24	;	;	PUNCT
cana-3679	331	25	martel	martel	NOUN
cana-3679	331	26	,	,	PUNCT
cana-3679	331	27	j.-l	j.-l	PROPN
cana-3679	331	28	.	.	PUNCT
cana-3679	331	29	;	;	PUNCT
cana-3679	332	1	brissette	brissette	PROPN
cana-3679	332	2	,	,	PUNCT
cana-3679	332	3	f.	f.	PROPN
cana-3679	332	4	;	;	PUNCT
cana-3679	332	5	brunet	brunet	PROPN
cana-3679	332	6	,	,	PUNCT
cana-3679	332	7	f.	f.	PROPN
cana-3679	332	8	;	;	PUNCT
cana-3679	332	9	mai	mai	PROPN
cana-3679	332	10	,	,	PUNCT
cana-3679	332	11	j.	j.	PROPN
cana-3679	332	12	comparing	compare	VERB
cana-3679	332	13	a	a	DET
cana-3679	332	14	long	long	ADJ
cana-3679	332	15	short	short	ADJ
cana-3679	332	16	-	-	PUNCT
cana-3679	332	17	term	term	NOUN
cana-3679	332	18	memory	memory	NOUN
cana-3679	332	19	(	(	PUNCT
cana-3679	332	20	lstm	lstm	ADJ
cana-3679	332	21	)	)	PUNCT
cana-3679	332	22	neural	neural	ADJ
cana-3679	332	23	network	network	NOUN
cana-3679	332	24	with	with	ADP
cana-3679	332	25	a	a	DET
cana-3679	332	26	physically	physically	ADV
cana-3679	332	27	-	-	PUNCT
cana-3679	332	28	based	base	VERB
cana-3679	332	29	hydrological	hydrological	ADJ
cana-3679	332	30	model	model	NOUN
cana-3679	332	31	for	for	ADP
cana-3679	332	32	streamflow	streamflow	NOUN
cana-3679	332	33	forecasting	forecasting	NOUN
cana-3679	332	34	over	over	ADP
cana-3679	332	35	a	a	DET
cana-3679	332	36	canadian	canadian	ADJ
cana-3679	332	37	catchment	catchment	NOUN
cana-3679	332	38	.	.	PUNCT
cana-3679	333	1	j.	j.	PROPN
cana-3679	333	2	hydrol	hydrol	PROPN
cana-3679	333	3	.	.	PUNCT
cana-3679	334	1	2023	2023	NUM
cana-3679	334	2	,	,	PUNCT
cana-3679	334	3	627	627	NUM
cana-3679	334	4	,	,	PUNCT
cana-3679	334	5	130380	130380	NUM
cana-3679	334	6	.	.	PUNCT
cana-3679	335	1	[	[	X
cana-3679	335	2	16	16	NUM
cana-3679	335	3	]	]	X
cana-3679	335	4	lei	lei	PROPN
cana-3679	335	5	,	,	PUNCT
cana-3679	335	6	g.	g.	PROPN
cana-3679	335	7	;	;	PUNCT
cana-3679	335	8	zeng	zeng	PROPN
cana-3679	335	9	,	,	PUNCT
cana-3679	335	10	w.	w.	PROPN
cana-3679	335	11	;	;	PUNCT
cana-3679	335	12	yu	yu	PROPN
cana-3679	335	13	,	,	PUNCT
cana-3679	335	14	j.	j.	PROPN
cana-3679	335	15	;	;	PUNCT
cana-3679	335	16	huang	huang	PROPN
cana-3679	335	17	,	,	PUNCT
cana-3679	335	18	j.	j.	PROPN
cana-3679	335	19	a	a	DET
cana-3679	335	20	comparison	comparison	NOUN
cana-3679	335	21	of	of	ADP
cana-3679	335	22	physical	physical	NOUN
cana-3679	335	23	-	-	PUNCT
cana-3679	335	24	based	base	VERB
cana-3679	335	25	and	and	CCONJ
cana-3679	335	26	machine	machine	NOUN
cana-3679	335	27	learning	learning	NOUN
cana-3679	335	28	modeling	modeling	NOUN
cana-3679	335	29	for	for	ADP
cana-3679	335	30	soil	soil	NOUN
cana-3679	335	31	salt	salt	NOUN
cana-3679	335	32	dynamics	dynamic	NOUN
cana-3679	335	33	in	in	ADP
cana-3679	335	34	crop	crop	NOUN
cana-3679	335	35	fields	field	NOUN
cana-3679	335	36	.	.	PUNCT
cana-3679	336	1	agric	agric	PROPN
cana-3679	336	2	.	.	PUNCT
cana-3679	336	3	water	water	NOUN
cana-3679	336	4	manag	manag	PROPN
cana-3679	336	5	.	.	PUNCT
cana-3679	337	1	2023	2023	NUM
cana-3679	337	2	,	,	PUNCT
cana-3679	337	3	277	277	NUM
cana-3679	337	4	,	,	PUNCT
cana-3679	337	5	108115	108115	NUM
cana-3679	337	6	.	.	PUNCT
cana-3679	338	1	[	[	X
cana-3679	338	2	17	17	NUM
cana-3679	338	3	]	]	X
cana-3679	338	4	zhang	zhang	PROPN
cana-3679	338	5	,	,	PUNCT
cana-3679	338	6	g.	g.	PROPN
cana-3679	338	7	synergistic	synergistic	ADJ
cana-3679	338	8	advantages	advantage	NOUN
cana-3679	338	9	of	of	ADP
cana-3679	338	10	deep	deep	ADJ
cana-3679	338	11	learning	learning	NOUN
cana-3679	338	12	and	and	CCONJ
cana-3679	338	13	reinforcement	reinforcement	NOUN
cana-3679	338	14	learning	learning	NOUN
cana-3679	338	15	in	in	ADP
cana-3679	338	16	economic	economic	ADJ
cana-3679	338	17	forecasting	forecasting	NOUN
cana-3679	338	18	.	.	PUNCT
cana-3679	339	1	int	int	NOUN
cana-3679	339	2	.	.	PUNCT
cana-3679	340	1	j.	j.	PROPN
cana-3679	340	2	glob	glob	PROPN
cana-3679	340	3	.	.	PROPN
cana-3679	340	4	econ	econ	PROPN
cana-3679	340	5	.	.	PUNCT
cana-3679	341	1	manag	manag	PROPN
cana-3679	341	2	.	.	PUNCT
cana-3679	342	1	2023	2023	NUM
cana-3679	342	2	,	,	PUNCT
cana-3679	342	3	1	1	NUM
cana-3679	342	4	,	,	PUNCT
cana-3679	342	5	89–95	89–95	NUM
cana-3679	342	6	.	.	PUNCT
cana-3679	343	1	[	[	X
cana-3679	343	2	18	18	NUM
cana-3679	343	3	]	]	X
cana-3679	343	4	tesch	tesch	PROPN
cana-3679	343	5	,	,	PUNCT
cana-3679	343	6	t.	t.	PROPN
cana-3679	343	7	;	;	PUNCT
cana-3679	343	8	kollet	kollet	PROPN
cana-3679	343	9	,	,	PUNCT
cana-3679	343	10	s.	s.	PROPN
cana-3679	343	11	;	;	PUNCT
cana-3679	343	12	garcke	garcke	PROPN
cana-3679	343	13	,	,	PUNCT
cana-3679	343	14	j.	j.	PROPN
cana-3679	343	15	causal	causal	PROPN
cana-3679	343	16	deep	deep	ADJ
cana-3679	343	17	learning	learning	NOUN
cana-3679	343	18	models	model	NOUN
cana-3679	343	19	for	for	ADP
cana-3679	343	20	studying	study	VERB
cana-3679	343	21	the	the	DET
cana-3679	343	22	earth	earth	NOUN
cana-3679	343	23	system	system	NOUN
cana-3679	343	24	.	.	PUNCT
cana-3679	344	1	geosci	geosci	PROPN
cana-3679	344	2	.	.	PUNCT
cana-3679	345	1	model	model	PROPN
cana-3679	345	2	dev	dev	PROPN
cana-3679	345	3	.	.	PROPN
cana-3679	346	1	2023	2023	NUM
cana-3679	346	2	,	,	PUNCT
cana-3679	346	3	16	16	NUM
cana-3679	346	4	,	,	PUNCT
cana-3679	346	5	2149–2166	2149–2166	NUM
cana-3679	346	6	.	.	PUNCT
cana-3679	347	1	[	[	X
cana-3679	347	2	19	19	NUM
cana-3679	347	3	]	]	X
cana-3679	347	4	chen	chen	PROPN
cana-3679	347	5	,	,	PUNCT
cana-3679	347	6	z.	z.	PROPN
cana-3679	347	7	;	;	PUNCT
cana-3679	347	8	zhang	zhang	PROPN
cana-3679	347	9	,	,	PUNCT
cana-3679	347	10	r.	r.	PROPN
cana-3679	347	11	;	;	PUNCT
cana-3679	347	12	song	song	NOUN
cana-3679	347	13	,	,	PUNCT
cana-3679	347	14	y.	y.	PROPN
cana-3679	347	15	;	;	PUNCT
cana-3679	347	16	wan	wan	PROPN
cana-3679	347	17	,	,	PUNCT
cana-3679	347	18	x.	x.	PROPN
cana-3679	347	19	;	;	PUNCT
cana-3679	347	20	li	li	PROPN
cana-3679	347	21	,	,	PUNCT
cana-3679	347	22	g.	g.	PROPN
cana-3679	347	23	advancing	advance	VERB
cana-3679	347	24	visual	visual	ADJ
cana-3679	347	25	grounding	grounding	NOUN
cana-3679	347	26	with	with	ADP
cana-3679	347	27	scene	scene	NOUN
cana-3679	347	28	knowledge	knowledge	NOUN
cana-3679	347	29	:	:	PUNCT
cana-3679	347	30	benchmark	benchmark	NOUN
cana-3679	347	31	and	and	CCONJ
cana-3679	347	32	method	method	NOUN
cana-3679	347	33	.	.	PUNCT
cana-3679	348	1	in	in	ADP
cana-3679	348	2	proceedings	proceeding	NOUN
cana-3679	348	3	of	of	ADP
cana-3679	348	4	the	the	DET
cana-3679	348	5	ieee	ieee	NOUN
cana-3679	348	6	/	/	SYM
cana-3679	348	7	cvf	cvf	NOUN
cana-3679	348	8	conference	conference	NOUN
cana-3679	348	9	on	on	ADP
cana-3679	348	10	computer	computer	NOUN
cana-3679	348	11	vision	vision	NOUN
cana-3679	348	12	and	and	CCONJ
cana-3679	348	13	pattern	pattern	NOUN
cana-3679	348	14	recognition	recognition	NOUN
cana-3679	348	15	,	,	PUNCT
cana-3679	348	16	vancouver	vancouver	PROPN
cana-3679	348	17	,	,	PUNCT
cana-3679	348	18	bc	bc	PROPN
cana-3679	348	19	,	,	PUNCT
cana-3679	348	20	canada	canada	PROPN
cana-3679	348	21	,	,	PUNCT
cana-3679	348	22	17–24	17–24	PROPN
cana-3679	348	23	june	june	PROPN
cana-3679	348	24	2023	2023	NUM
cana-3679	348	25	.	.	PUNCT
cana-3679	349	1	[	[	X
cana-3679	349	2	20	20	NUM
cana-3679	349	3	]	]	PUNCT
cana-3679	349	4	p.	p.	PROPN
cana-3679	349	5	k.	k.	PROPN
cana-3679	350	1	verma	verma	PROPN
cana-3679	350	2	,	,	PUNCT
cana-3679	350	3	p.	p.	PROPN
cana-3679	350	4	pathak	pathak	PROPN
cana-3679	350	5	,	,	PUNCT
cana-3679	350	6	b.	b.	PROPN
cana-3679	350	7	kumar	kumar	PROPN
cana-3679	350	8	,	,	PUNCT
cana-3679	350	9	h.	h.	PROPN
cana-3679	350	10	himani	himani	PROPN
cana-3679	350	11	,	,	PUNCT
cana-3679	350	12	and	and	CCONJ
cana-3679	350	13	p.	p.	NOUN
cana-3679	350	14	preety	preety	NOUN
cana-3679	350	15	,	,	PUNCT
cana-3679	350	16	"	"	PUNCT
cana-3679	350	17	automatic	automatic	ADJ
cana-3679	350	18	optical	optical	ADJ
cana-3679	350	19	imaging	imaging	NOUN
cana-3679	350	20	system	system	NOUN
cana-3679	350	21	for	for	ADP
cana-3679	350	22	mango	mango	NOUN
cana-3679	350	23	fruit	fruit	NOUN
cana-3679	350	24	using	use	VERB
cana-3679	350	25	hyperspectral	hyperspectral	ADJ
cana-3679	350	26	camera	camera	NOUN
cana-3679	350	27	and	and	CCONJ
cana-3679	350	28	deep	deep	ADJ
cana-3679	350	29	learning	learning	NOUN
cana-3679	350	30	algorithm	algorithm	NOUN
cana-3679	350	31	,	,	PUNCT
cana-3679	350	32	"	"	PUNCT
cana-3679	350	33	international	international	ADJ
cana-3679	350	34	journal	journal	NOUN
cana-3679	350	35	on	on	ADP
cana-3679	350	36	recent	recent	ADJ
cana-3679	350	37	and	and	CCONJ
cana-3679	350	38	innovation	innovation	NOUN
cana-3679	350	39	trends	trend	NOUN
cana-3679	350	40	in	in	ADP
cana-3679	350	41	computing	computing	NOUN
cana-3679	350	42	and	and	CCONJ
cana-3679	350	43	communication	communication	NOUN
cana-3679	350	44	,	,	PUNCT
cana-3679	350	45	vol	vol	NOUN
cana-3679	350	46	.	.	PROPN
cana-3679	350	47	11	11	NUM
cana-3679	350	48	,	,	PUNCT
cana-3679	350	49	no	no	INTJ
cana-3679	350	50	.	.	NOUN
cana-3679	351	1	5s	5s	NUM
cana-3679	351	2	,	,	PUNCT
cana-3679	351	3	pp	pp	ADJ
cana-3679	351	4	.	.	PUNCT
cana-3679	352	1	112–117	112–117	NUM
cana-3679	352	2	,	,	PUNCT
cana-3679	352	3	2023	2023	NUM
cana-3679	352	4	,	,	PUNCT
cana-3679	352	5	doi	doi	NOUN
cana-3679	352	6	:	:	PUNCT
cana-3679	352	7	10.17762	10.17762	NUM
cana-3679	352	8	/	/	SYM
cana-3679	352	9	ijritcc.v11i5s.6635	ijritcc.v11i5s.6635	NOUN
cana-3679	352	10	.	.	PUNCT
cana-3679	353	1	[	[	X
cana-3679	353	2	21	21	NUM
cana-3679	353	3	]	]	PUNCT
cana-3679	353	4	p.	p.	PROPN
cana-3679	353	5	k.	k.	PROPN
cana-3679	354	1	verma	verma	PROPN
cana-3679	354	2	,	,	PUNCT
cana-3679	354	3	v.	v.	PROPN
cana-3679	354	4	sharma	sharma	PROPN
cana-3679	354	5	,	,	PUNCT
cana-3679	354	6	p.	p.	PROPN
cana-3679	354	7	kumar	kumar	PROPN
cana-3679	354	8	,	,	PUNCT
cana-3679	354	9	s.	s.	PROPN
cana-3679	354	10	sharma	sharma	PROPN
cana-3679	354	11	,	,	PUNCT
cana-3679	354	12	s.	s.	PROPN
cana-3679	354	13	chaudhary	chaudhary	PROPN
cana-3679	354	14	,	,	PUNCT
cana-3679	354	15	and	and	CCONJ
cana-3679	354	16	p.	p.	PROPN
cana-3679	354	17	preety,(2023	preety,(2023	PROPN
cana-3679	354	18	)	)	PUNCT
cana-3679	354	19	"	"	PUNCT
cana-3679	354	20	iot	iot	PROPN
cana-3679	354	21	enabled	enable	VERB
cana-3679	354	22	real	real	ADJ
cana-3679	354	23	-	-	PUNCT
cana-3679	354	24	time	time	NOUN
cana-3679	354	25	appearance	appearance	NOUN
cana-3679	354	26	system	system	NOUN
cana-3679	354	27	using	use	VERB
cana-3679	354	28	ai	ai	VERB
cana-3679	354	29	camera	camera	NOUN
cana-3679	354	30	and	and	CCONJ
cana-3679	354	31	deep	deep	ADJ
cana-3679	354	32	learning	learning	NOUN
cana-3679	354	33	for	for	ADP
cana-3679	354	34	student	student	NOUN
cana-3679	354	35	tracking	tracking	NOUN
cana-3679	354	36	,	,	PUNCT
cana-3679	354	37	"	"	PUNCT
cana-3679	354	38	international	international	ADJ
cana-3679	354	39	journal	journal	NOUN
cana-3679	354	40	on	on	ADP
cana-3679	354	41	recent	recent	ADJ
cana-3679	354	42	and	and	CCONJ
cana-3679	354	43	innovation	innovation	NOUN
cana-3679	354	44	trends	trend	NOUN
cana-3679	354	45	in	in	ADP
cana-3679	354	46	computing	computing	NOUN
cana-3679	354	47	and	and	CCONJ
cana-3679	354	48	communication	communication	NOUN
cana-3679	354	49	,	,	PUNCT
cana-3679	354	50	vol	vol	NOUN
cana-3679	354	51	.	.	PROPN
cana-3679	355	1	11	11	NUM
cana-3679	355	2	,	,	PUNCT
cana-3679	355	3	no	no	INTJ
cana-3679	355	4	.	.	PUNCT
cana-3679	356	1	6s	6s	NUM
cana-3679	356	2	,	,	PUNCT
cana-3679	356	3	pp	pp	ADJ
cana-3679	356	4	.	.	PUNCT
cana-3679	357	1	249–254	249–254	NUM
cana-3679	357	2	,	,	PUNCT
cana-3679	357	3	2023	2023	NUM
cana-3679	357	4	,	,	PUNCT
cana-3679	357	5	doi	doi	NOUN
cana-3679	357	6	:	:	PUNCT
cana-3679	357	7	10.17762	10.17762	NUM
cana-3679	357	8	/	/	SYM
cana-3679	357	9	ijritcc.v11i6s.6885	ijritcc.v11i6s.6885	NOUN
cana-3679	357	10	[	[	X
cana-3679	357	11	22	22	NUM
cana-3679	357	12	]	]	SYM
cana-3679	357	13	li	li	PROPN
cana-3679	357	14	,	,	PUNCT
cana-3679	357	15	q.	q.	PROPN
cana-3679	357	16	;	;	PUNCT
cana-3679	357	17	zhang	zhang	PROPN
cana-3679	357	18	,	,	PUNCT
cana-3679	357	19	c.	c.	PROPN
cana-3679	357	20	;	;	PUNCT
cana-3679	357	21	shangguan	shangguan	PROPN
cana-3679	357	22	,	,	PUNCT
cana-3679	357	23	w.	w.	PROPN
cana-3679	357	24	;	;	PUNCT
cana-3679	357	25	li	li	PROPN
cana-3679	357	26	,	,	PUNCT
cana-3679	357	27	l.	l.	PROPN
cana-3679	357	28	;	;	PUNCT
cana-3679	357	29	dai	dai	PROPN
cana-3679	357	30	,	,	PUNCT
cana-3679	357	31	y.	y.	NOUN
cana-3679	357	32	a	a	DET
cana-3679	357	33	novel	novel	ADJ
cana-3679	357	34	local	local	ADJ
cana-3679	357	35	-	-	PUNCT
cana-3679	357	36	global	global	ADJ
cana-3679	357	37	dependency	dependency	NOUN
cana-3679	357	38	deep	deep	ADJ
cana-3679	357	39	learning	learning	NOUN
cana-3679	357	40	model	model	NOUN
cana-3679	357	41	for	for	ADP
cana-3679	357	42	soil	soil	NOUN
cana-3679	357	43	mapping	mapping	NOUN
cana-3679	357	44	.	.	PUNCT
cana-3679	358	1	geoderma	geoderma	PROPN
cana-3679	358	2	2023	2023	NUM
cana-3679	358	3	,	,	PUNCT
cana-3679	358	4	438	438	NUM
cana-3679	358	5	,	,	PUNCT
cana-3679	358	6	116649	116649	NUM
cana-3679	358	7	.	.	PUNCT
cana-3679	359	1	[	[	X
cana-3679	359	2	23	23	NUM
cana-3679	359	3	]	]	X
cana-3679	359	4	lal	lal	PROPN
cana-3679	359	5	,	,	PUNCT
cana-3679	359	6	p.	p.	PROPN
cana-3679	359	7	;	;	PUNCT
cana-3679	359	8	shekhar	shekhar	PROPN
cana-3679	359	9	,	,	PUNCT
cana-3679	359	10	a.	a.	NOUN
cana-3679	359	11	;	;	PUNCT
cana-3679	359	12	gharun	gharun	NOUN
cana-3679	359	13	,	,	PUNCT
cana-3679	359	14	m.	m.	NOUN
cana-3679	359	15	;	;	PUNCT
cana-3679	359	16	das	das	PROPN
cana-3679	359	17	,	,	PUNCT
cana-3679	359	18	n.n	n.n	PROPN
cana-3679	359	19	.	.	PROPN
cana-3679	359	20	spatiotemporal	spatiotemporal	ADJ
cana-3679	359	21	evolution	evolution	NOUN
cana-3679	359	22	of	of	ADP
cana-3679	359	23	global	global	ADJ
cana-3679	359	24	long	long	ADJ
cana-3679	359	25	-	-	PUNCT
cana-3679	359	26	term	term	NOUN
cana-3679	359	27	patterns	pattern	NOUN
cana-3679	359	28	of	of	ADP
cana-3679	359	29	soil	soil	NOUN
cana-3679	359	30	moisture	moisture	NOUN
cana-3679	359	31	.	.	PUNCT
cana-3679	360	1	sci	sci	PROPN
cana-3679	360	2	.	.	PROPN
cana-3679	360	3	total	total	PROPN
cana-3679	360	4	.	.	PUNCT
cana-3679	361	1	environ	environ	PROPN
cana-3679	361	2	.	.	PROPN
cana-3679	362	1	2023	2023	NUM
cana-3679	362	2	,	,	PUNCT
cana-3679	362	3	867	867	NUM
cana-3679	362	4	,	,	PUNCT
cana-3679	362	5	161470	161470	NUM
cana-3679	362	6	.	.	PUNCT
cana-3679	363	1	[	[	X
cana-3679	363	2	24	24	NUM
cana-3679	363	3	]	]	X
cana-3679	363	4	datta	datta	NOUN
cana-3679	363	5	,	,	PUNCT
cana-3679	363	6	p.	p.	PROPN
cana-3679	363	7	;	;	PUNCT
cana-3679	363	8	faroughi	faroughi	PROPN
cana-3679	363	9	,	,	PUNCT
cana-3679	363	10	s.a	s.a	PROPN
cana-3679	363	11	.	.	PROPN
cana-3679	364	1	a	a	DET
cana-3679	364	2	multihead	multihead	NOUN
cana-3679	364	3	lstm	lstm	NOUN
cana-3679	364	4	technique	technique	NOUN
cana-3679	364	5	for	for	ADP
cana-3679	364	6	prognostic	prognostic	ADJ
cana-3679	364	7	prediction	prediction	NOUN
cana-3679	364	8	of	of	ADP
cana-3679	364	9	soil	soil	NOUN
cana-3679	364	10	moisture	moisture	NOUN
cana-3679	364	11	.	.	PUNCT
cana-3679	365	1	geoderma	geoderma	PROPN
cana-3679	365	2	2023	2023	NUM
cana-3679	365	3	,	,	PUNCT
cana-3679	365	4	433	433	NUM
cana-3679	365	5	,	,	PUNCT
cana-3679	365	6	116452	116452	NUM
cana-3679	365	7	.	.	PUNCT
cana-3679	366	1	[	[	X
cana-3679	366	2	25	25	NUM
cana-3679	366	3	]	]	PUNCT
cana-3679	366	4	anshuman	anshuman	PROPN
cana-3679	366	5	,	,	PUNCT
cana-3679	366	6	a.	a.	NOUN
cana-3679	366	7	;	;	PUNCT
cana-3679	366	8	eldho	eldho	PROPN
cana-3679	366	9	,	,	PUNCT
cana-3679	366	10	t.	t.	PROPN
cana-3679	366	11	a	a	DET
cana-3679	366	12	parallel	parallel	ADJ
cana-3679	366	13	workflow	workflow	NOUN
cana-3679	366	14	framework	framework	NOUN
cana-3679	366	15	using	use	VERB
cana-3679	366	16	encoder	encoder	NOUN
cana-3679	366	17	-	-	PUNCT
cana-3679	366	18	decoder	decoder	NOUN
cana-3679	366	19	lstms	lstms	NOUN
cana-3679	366	20	for	for	ADP
cana-3679	366	21	uncertainty	uncertainty	NOUN
cana-3679	366	22	quantification	quantification	NOUN
cana-3679	366	23	in	in	ADP
cana-3679	366	24	contaminant	contaminant	ADJ
cana-3679	366	25	source	source	NOUN
cana-3679	366	26	identification	identification	NOUN
cana-3679	366	27	in	in	ADP
cana-3679	366	28	groundwater	groundwater	NOUN
cana-3679	366	29	.	.	PUNCT
cana-3679	367	1	j.	j.	PROPN
cana-3679	367	2	hydrol	hydrol	PROPN
cana-3679	367	3	.	.	PUNCT
cana-3679	368	1	2023	2023	NUM
cana-3679	368	2	,	,	PUNCT
cana-3679	368	3	619	619	NUM
cana-3679	368	4	,	,	PUNCT
cana-3679	368	5	129296	129296	NUM
cana-3679	368	6	.	.	PUNCT
cana-3679	369	1	[	[	X
cana-3679	369	2	26	26	NUM
cana-3679	369	3	]	]	X
cana-3679	369	4	yang	yang	PROPN
cana-3679	369	5	,	,	PUNCT
cana-3679	369	6	y.	y.	PROPN
cana-3679	369	7	;	;	PUNCT
cana-3679	369	8	gao	gao	PROPN
cana-3679	369	9	,	,	PUNCT
cana-3679	369	10	p.	p.	PROPN
cana-3679	369	11	;	;	PUNCT
cana-3679	369	12	sun	sun	PROPN
cana-3679	369	13	,	,	PUNCT
cana-3679	369	14	z.	z.	PROPN
cana-3679	369	15	;	;	PUNCT
cana-3679	369	16	wang	wang	PROPN
cana-3679	369	17	,	,	PUNCT
cana-3679	369	18	h.	h.	PROPN
cana-3679	369	19	;	;	PUNCT
cana-3679	369	20	lu	lu	PROPN
cana-3679	369	21	,	,	PUNCT
cana-3679	369	22	m.	m.	NOUN
cana-3679	369	23	;	;	PUNCT
cana-3679	369	24	liu	liu	PROPN
cana-3679	369	25	,	,	PUNCT
cana-3679	369	26	y.	y.	PROPN
cana-3679	369	27	;	;	PUNCT
cana-3679	369	28	hu	hu	PROPN
cana-3679	369	29	,	,	PUNCT
cana-3679	369	30	j.	j.	PROPN
cana-3679	369	31	multistep	multistep	PROPN
cana-3679	369	32	ahead	ahead	ADV
cana-3679	369	33	prediction	prediction	NOUN
cana-3679	369	34	of	of	ADP
cana-3679	369	35	temperature	temperature	NOUN
cana-3679	369	36	and	and	CCONJ
cana-3679	369	37	humidity	humidity	NOUN
cana-3679	369	38	in	in	ADP
cana-3679	369	39	solar	solar	ADJ
cana-3679	369	40	greenhouse	greenhouse	NOUN
cana-3679	369	41	based	base	VERB
cana-3679	369	42	on	on	ADP
cana-3679	369	43	fam	fam	NOUN
cana-3679	369	44	-	-	PUNCT
cana-3679	369	45	lstm	lstm	PROPN
cana-3679	369	46	model	model	NOUN
cana-3679	369	47	.	.	PUNCT
cana-3679	370	1	comput	comput	NOUN
cana-3679	370	2	.	.	PUNCT
cana-3679	371	1	electron	electron	PROPN
cana-3679	371	2	.	.	PUNCT
cana-3679	372	1	agric	agric	PROPN
cana-3679	372	2	.	.	PUNCT
cana-3679	373	1	2023	2023	NUM
cana-3679	373	2	,	,	PUNCT
cana-3679	373	3	213	213	NUM
cana-3679	373	4	,	,	PUNCT
cana-3679	373	5	108261	108261	NUM
cana-3679	373	6	.	.	PUNCT