id	sid	tid	token	lemma	pos
afs-63668	1	1	agricultural	agricultural	ADJ
afs-63668	1	2	and	and	CCONJ
afs-63668	1	3	food	food	NOUN
afs-63668	1	4	science	science	PROPN
afs-63668	1	5	k.	k.	PROPN
afs-63668	1	6	piikki	piikki	PROPN
afs-63668	1	7	&	&	CCONJ
afs-63668	1	8	b.	b.	PROPN
afs-63668	1	9	stenberg	stenberg	PROPN
afs-63668	1	10	(	(	PUNCT
afs-63668	1	11	2017	2017	NUM
afs-63668	1	12	)	)	PUNCT
afs-63668	1	13	26	26	NUM
afs-63668	1	14	:	:	PUNCT
afs-63668	1	15	233–241	233–241	NUM
afs-63668	1	16	233	233	NUM
afs-63668	1	17	manuscript	manuscript	NOUN
afs-63668	1	18	received	receive	VERB
afs-63668	1	19	may	may	PROPN
afs-63668	1	20	2017	2017	NUM
afs-63668	1	21	a	a	DET
afs-63668	1	22	modified	modify	VERB
afs-63668	1	23	delta	delta	NOUN
afs-63668	1	24	yield	yield	NOUN
afs-63668	1	25	approach	approach	NOUN
afs-63668	1	26	for	for	ADP
afs-63668	1	27	estimation	estimation	NOUN
afs-63668	1	28	of	of	ADP
afs-63668	1	29	economic	economic	ADJ
afs-63668	1	30	optimal	optimal	ADJ
afs-63668	1	31	nitrogen	nitrogen	NOUN
afs-63668	1	32	rate	rate	NOUN
afs-63668	1	33	(	(	PUNCT
afs-63668	1	34	eonr	eonr	PROPN
afs-63668	1	35	)	)	PUNCT
afs-63668	1	36	for	for	ADP
afs-63668	1	37	wheat	wheat	NOUN
afs-63668	1	38	(	(	PUNCT
afs-63668	1	39	triticum	triticum	NOUN
afs-63668	1	40	aestivum	aestivum	PROPN
afs-63668	1	41	l.	l.	PROPN
afs-63668	1	42	)	)	PUNCT
afs-63668	1	43	and	and	CCONJ
afs-63668	1	44	barley	barley	NOUN
afs-63668	1	45	(	(	PUNCT
afs-63668	1	46	hordeum	hordeum	PROPN
afs-63668	1	47	vulgare	vulgare	PROPN
afs-63668	1	48	l.	l.	PROPN
afs-63668	1	49	)	)	PUNCT
afs-63668	1	50	kristin	kristin	PROPN
afs-63668	1	51	piikki	piikki	PROPN
afs-63668	1	52	and	and	CCONJ
afs-63668	1	53	bo	bo	PROPN
afs-63668	1	54	stenberg	stenberg	PROPN
afs-63668	1	55	department	department	PROPN
afs-63668	1	56	of	of	ADP
afs-63668	1	57	soil	soil	NOUN
afs-63668	1	58	and	and	CCONJ
afs-63668	1	59	environment	environment	NOUN
afs-63668	1	60	,	,	PUNCT
afs-63668	1	61	precision	precision	NOUN
afs-63668	1	62	agriculture	agriculture	NOUN
afs-63668	1	63	and	and	CCONJ
afs-63668	1	64	pedometrics	pedometric	NOUN
afs-63668	1	65	,	,	PUNCT
afs-63668	1	66	swedish	swedish	ADJ
afs-63668	1	67	university	university	PROPN
afs-63668	1	68	of	of	ADP
afs-63668	1	69	agricultural	agricultural	ADJ
afs-63668	1	70	sciences	sciences	PROPN
afs-63668	1	71	,	,	PUNCT
afs-63668	1	72	p.o	p.o	PROPN
afs-63668	1	73	.	.	PROPN
afs-63668	1	74	box	box	PROPN
afs-63668	1	75	234	234	NUM
afs-63668	1	76	,	,	PUNCT
afs-63668	1	77	se-532	se-532	NOUN
afs-63668	1	78	23	23	NUM
afs-63668	1	79	skara	skara	ADJ
afs-63668	1	80	e	e	NOUN
afs-63668	1	81	-	-	NOUN
afs-63668	1	82	mail	mail	NOUN
afs-63668	1	83	:	:	PUNCT
afs-63668	1	84	kristin.piikki@slu.se	kristin.piikki@slu.se	PROPN
afs-63668	1	85	a	a	DET
afs-63668	1	86	swedish	swedish	ADJ
afs-63668	1	87	field	field	NOUN
afs-63668	1	88	trial	trial	NOUN
afs-63668	1	89	database	database	NOUN
afs-63668	1	90	was	be	AUX
afs-63668	1	91	mined	mine	VERB
afs-63668	1	92	for	for	ADP
afs-63668	1	93	information	information	NOUN
afs-63668	1	94	on	on	ADP
afs-63668	1	95	economic	economic	ADJ
afs-63668	1	96	optimal	optimal	ADJ
afs-63668	1	97	nitrogen	nitrogen	NOUN
afs-63668	1	98	rate	rate	NOUN
afs-63668	1	99	(	(	PUNCT
afs-63668	1	100	eonr	eonr	PROPN
afs-63668	1	101	)	)	PUNCT
afs-63668	1	102	.	.	PUNCT
afs-63668	2	1	a	a	DET
afs-63668	2	2	total	total	NOUN
afs-63668	2	3	of	of	ADP
afs-63668	2	4	100	100	NUM
afs-63668	2	5	trials	trial	NOUN
afs-63668	2	6	with	with	ADP
afs-63668	2	7	wheat	wheat	NOUN
afs-63668	2	8	(	(	PUNCT
afs-63668	2	9	triticum	triticum	NOUN
afs-63668	2	10	aestivum	aestivum	PROPN
afs-63668	2	11	l.	l.	PROPN
afs-63668	2	12	)	)	PUNCT
afs-63668	2	13	and	and	CCONJ
afs-63668	2	14	47	47	NUM
afs-63668	2	15	trials	trial	NOUN
afs-63668	2	16	with	with	ADP
afs-63668	2	17	barley	barley	NOUN
afs-63668	2	18	(	(	PUNCT
afs-63668	2	19	hordeum	hordeum	PROPN
afs-63668	2	20	vulgare	vulgare	PROPN
afs-63668	2	21	l.	l.	PROPN
afs-63668	2	22	)	)	PUNCT
afs-63668	2	23	were	be	AUX
afs-63668	2	24	used	use	VERB
afs-63668	2	25	to	to	PART
afs-63668	2	26	parameterise	parameterise	VERB
afs-63668	2	27	prediction	prediction	NOUN
afs-63668	2	28	models	model	NOUN
afs-63668	2	29	for	for	ADP
afs-63668	2	30	eonr	eonr	ADJ
afs-63668	2	31	based	base	VERB
afs-63668	2	32	on	on	ADP
afs-63668	2	33	yields	yield	NOUN
afs-63668	2	34	in	in	ADP
afs-63668	2	35	plots	plot	NOUN
afs-63668	2	36	with	with	ADP
afs-63668	2	37	no	no	DET
afs-63668	2	38	nitrogen	nitrogen	NOUN
afs-63668	2	39	(	(	PUNCT
afs-63668	2	40	n	n	CCONJ
afs-63668	2	41	)	)	PUNCT
afs-63668	2	42	fertilisation	fertilisation	NOUN
afs-63668	2	43	,	,	PUNCT
afs-63668	2	44	intended	intend	VERB
afs-63668	2	45	to	to	PART
afs-63668	2	46	reflect	reflect	VERB
afs-63668	2	47	n	n	DET
afs-63668	2	48	mineralisation	mineralisation	NOUN
afs-63668	2	49	,	,	PUNCT
afs-63668	2	50	and	and	CCONJ
afs-63668	2	51	yields	yield	NOUN
afs-63668	2	52	in	in	ADP
afs-63668	2	53	plots	plot	NOUN
afs-63668	2	54	with	with	ADP
afs-63668	2	55	a	a	DET
afs-63668	2	56	high	high	ADJ
afs-63668	2	57	n	n	NOUN
afs-63668	2	58	rate	rate	NOUN
afs-63668	2	59	,	,	PUNCT
afs-63668	2	60	aimed	aim	VERB
afs-63668	2	61	as	as	ADP
afs-63668	2	62	a	a	DET
afs-63668	2	63	proxy	proxy	NOUN
afs-63668	2	64	variable	variable	NOUN
afs-63668	2	65	for	for	ADP
afs-63668	2	66	yield	yield	NOUN
afs-63668	2	67	potential	potential	NOUN
afs-63668	2	68	,	,	PUNCT
afs-63668	2	69	i.e.	i.e.	X
afs-63668	2	70	a	a	DET
afs-63668	2	71	modification	modification	NOUN
afs-63668	2	72	of	of	ADP
afs-63668	2	73	the	the	DET
afs-63668	2	74	delta	delta	NOUN
afs-63668	2	75	yield	yield	NOUN
afs-63668	2	76	(	(	PUNCT
afs-63668	2	77	∆y	∆y	NOUN
afs-63668	2	78	)	)	PUNCT
afs-63668	2	79	approach	approach	NOUN
afs-63668	2	80	.	.	PUNCT
afs-63668	3	1	when	when	SCONJ
afs-63668	3	2	the	the	DET
afs-63668	3	3	prediction	prediction	NOUN
afs-63668	3	4	models	model	NOUN
afs-63668	3	5	were	be	AUX
afs-63668	3	6	applied	apply	VERB
afs-63668	3	7	to	to	ADP
afs-63668	3	8	new	new	ADJ
afs-63668	3	9	sites	site	NOUN
afs-63668	3	10	and	and	CCONJ
afs-63668	3	11	years	year	NOUN
afs-63668	3	12	,	,	PUNCT
afs-63668	3	13	predictions	prediction	NOUN
afs-63668	3	14	had	have	AUX
afs-63668	3	15	mean	mean	VERB
afs-63668	3	16	absolute	absolute	ADJ
afs-63668	3	17	error	error	NOUN
afs-63668	3	18	(	(	PUNCT
afs-63668	3	19	mae	mae	PROPN
afs-63668	3	20	)	)	PUNCT
afs-63668	3	21	=	=	PUNCT
afs-63668	4	1	10	10	NUM
afs-63668	4	2	kg	kg	NOUN
afs-63668	4	3	n	n	PRON
afs-63668	4	4	ha-1	ha-1	NOUN
afs-63668	4	5	for	for	ADP
afs-63668	4	6	wheat	wheat	NOUN
afs-63668	4	7	and	and	CCONJ
afs-63668	4	8	=	=	SYM
afs-63668	4	9	9	9	NUM
afs-63668	4	10	kg	kg	NOUN
afs-63668	4	11	n	n	DET
afs-63668	4	12	ha-1	ha-1	NOUN
afs-63668	4	13	for	for	ADP
afs-63668	4	14	barley	barley	NOUN
afs-63668	4	15	.	.	PUNCT
afs-63668	5	1	performing	perform	VERB
afs-63668	5	2	modified	modify	VERB
afs-63668	5	3	∆y	∆y	PROPN
afs-63668	5	4	experiments	experiment	NOUN
afs-63668	5	5	can	can	AUX
afs-63668	5	6	complement	complement	VERB
afs-63668	5	7	current	current	ADJ
afs-63668	5	8	n	n	CCONJ
afs-63668	5	9	fertilisation	fertilisation	NOUN
afs-63668	5	10	trials	trial	NOUN
afs-63668	5	11	with	with	ADP
afs-63668	5	12	many	many	ADJ
afs-63668	5	13	rates	rate	NOUN
afs-63668	5	14	,	,	PUNCT
afs-63668	5	15	in	in	ADP
afs-63668	5	16	order	order	NOUN
afs-63668	5	17	to	to	PART
afs-63668	5	18	improve	improve	VERB
afs-63668	5	19	the	the	DET
afs-63668	5	20	spatial	spatial	ADJ
afs-63668	5	21	representation	representation	NOUN
afs-63668	5	22	of	of	ADP
afs-63668	5	23	eonr	eonr	ADJ
afs-63668	5	24	estimations	estimation	NOUN
afs-63668	5	25	.	.	PUNCT
afs-63668	6	1	moreover	moreover	ADV
afs-63668	6	2	,	,	PUNCT
afs-63668	6	3	∆y	∆y	PROPN
afs-63668	6	4	experiments	experiment	NOUN
afs-63668	6	5	can	can	AUX
afs-63668	6	6	potentially	potentially	ADV
afs-63668	6	7	be	be	AUX
afs-63668	6	8	used	use	VERB
afs-63668	6	9	for	for	ADP
afs-63668	6	10	in	in	ADP
afs-63668	6	11	-	-	PUNCT
afs-63668	6	12	season	season	NOUN
afs-63668	6	13	eonr	eonr	ADJ
afs-63668	6	14	estimation	estimation	NOUN
afs-63668	6	15	,	,	PUNCT
afs-63668	6	16	in	in	ADP
afs-63668	6	17	which	which	DET
afs-63668	6	18	case	case	NOUN
afs-63668	6	19	the	the	DET
afs-63668	6	20	accuracy	accuracy	NOUN
afs-63668	6	21	of	of	ADP
afs-63668	6	22	the	the	DET
afs-63668	6	23	eonr	eonr	ADJ
afs-63668	6	24	predictions	prediction	NOUN
afs-63668	6	25	depends	depend	VERB
afs-63668	6	26	also	also	ADV
afs-63668	6	27	on	on	ADP
afs-63668	6	28	the	the	DET
afs-63668	6	29	uncertainty	uncertainty	NOUN
afs-63668	6	30	in	in	ADP
afs-63668	6	31	yield	yield	NOUN
afs-63668	6	32	predictions	prediction	NOUN
afs-63668	6	33	made	make	VERB
afs-63668	6	34	at	at	ADP
afs-63668	6	35	the	the	DET
afs-63668	6	36	time	time	NOUN
afs-63668	6	37	of	of	ADP
afs-63668	6	38	supplementary	supplementary	ADJ
afs-63668	6	39	fertilisation	fertilisation	NOUN
afs-63668	6	40	.	.	PUNCT
afs-63668	7	1	key	key	ADJ
afs-63668	7	2	words	word	NOUN
afs-63668	7	3	:	:	PUNCT
afs-63668	7	4	barley	barley	NOUN
afs-63668	7	5	,	,	PUNCT
afs-63668	7	6	economic	economic	ADJ
afs-63668	7	7	optimal	optimal	ADJ
afs-63668	7	8	nitrogen	nitrogen	NOUN
afs-63668	7	9	rate	rate	NOUN
afs-63668	7	10	,	,	PUNCT
afs-63668	7	11	prediction	prediction	NOUN
afs-63668	7	12	,	,	PUNCT
afs-63668	7	13	soil	soil	NOUN
afs-63668	7	14	n	n	PRON
afs-63668	7	15	supply	supply	NOUN
afs-63668	7	16	,	,	PUNCT
afs-63668	7	17	wheat	wheat	NOUN
afs-63668	7	18	,	,	PUNCT
afs-63668	7	19	yield	yield	VERB
afs-63668	7	20	potential	potential	ADJ
afs-63668	7	21	introduction	introduction	NOUN
afs-63668	7	22	the	the	DET
afs-63668	7	23	eonr	eonr	ADJ
afs-63668	7	24	concept	concept	NOUN
afs-63668	7	25	crops	crop	NOUN
afs-63668	7	26	respond	respond	VERB
afs-63668	7	27	to	to	ADP
afs-63668	7	28	nitrogen	nitrogen	NOUN
afs-63668	7	29	(	(	PUNCT
afs-63668	7	30	n	n	CCONJ
afs-63668	7	31	)	)	PUNCT
afs-63668	7	32	application	application	NOUN
afs-63668	7	33	by	by	ADP
afs-63668	7	34	increasing	increase	VERB
afs-63668	7	35	yield	yield	NOUN
afs-63668	7	36	up	up	ADP
afs-63668	7	37	to	to	ADP
afs-63668	7	38	a	a	DET
afs-63668	7	39	limit	limit	NOUN
afs-63668	7	40	at	at	ADP
afs-63668	7	41	which	which	PRON
afs-63668	7	42	other	other	ADJ
afs-63668	7	43	factors	factor	NOUN
afs-63668	7	44	limit	limit	VERB
afs-63668	7	45	growth	growth	NOUN
afs-63668	7	46	.	.	PUNCT
afs-63668	8	1	the	the	DET
afs-63668	8	2	economic	economic	ADJ
afs-63668	8	3	optimal	optimal	ADJ
afs-63668	8	4	n	n	PRON
afs-63668	8	5	rate	rate	NOUN
afs-63668	8	6	(	(	PUNCT
afs-63668	8	7	eonr	eonr	PROPN
afs-63668	8	8	)	)	PUNCT
afs-63668	8	9	is	be	AUX
afs-63668	8	10	defined	define	VERB
afs-63668	8	11	as	as	ADP
afs-63668	8	12	the	the	DET
afs-63668	8	13	fertilisation	fertilisation	NOUN
afs-63668	8	14	rate	rate	NOUN
afs-63668	8	15	where	where	SCONJ
afs-63668	8	16	the	the	DET
afs-63668	8	17	slope	slope	NOUN
afs-63668	8	18	of	of	ADP
afs-63668	8	19	the	the	DET
afs-63668	8	20	response	response	NOUN
afs-63668	8	21	curve	curve	NOUN
afs-63668	8	22	equals	equal	VERB
afs-63668	8	23	the	the	DET
afs-63668	8	24	price	price	NOUN
afs-63668	8	25	ratio	ratio	NOUN
afs-63668	8	26	of	of	ADP
afs-63668	8	27	the	the	DET
afs-63668	8	28	fertiliser	fertiliser	NOUN
afs-63668	8	29	n	n	PROPN
afs-63668	8	30	and	and	CCONJ
afs-63668	8	31	the	the	DET
afs-63668	8	32	grain	grain	NOUN
afs-63668	8	33	produced	produce	VERB
afs-63668	8	34	.	.	PUNCT
afs-63668	9	1	this	this	DET
afs-63668	9	2	eonr	eonr	ADJ
afs-63668	9	3	definition	definition	NOUN
afs-63668	9	4	is	be	AUX
afs-63668	9	5	based	base	VERB
afs-63668	9	6	on	on	ADP
afs-63668	9	7	a	a	DET
afs-63668	9	8	simple	simple	ADJ
afs-63668	9	9	economic	economic	ADJ
afs-63668	9	10	model	model	NOUN
afs-63668	9	11	that	that	PRON
afs-63668	9	12	is	be	AUX
afs-63668	9	13	commonly	commonly	ADV
afs-63668	9	14	used	use	VERB
afs-63668	9	15	as	as	ADP
afs-63668	9	16	the	the	DET
afs-63668	9	17	basis	basis	NOUN
afs-63668	9	18	for	for	ADP
afs-63668	9	19	n	n	NOUN
afs-63668	9	20	rate	rate	NOUN
afs-63668	9	21	recommendations	recommendation	NOUN
afs-63668	9	22	(	(	PUNCT
afs-63668	9	23	for	for	ADP
afs-63668	9	24	further	further	ADJ
afs-63668	9	25	discussion	discussion	NOUN
afs-63668	9	26	on	on	ADP
afs-63668	9	27	the	the	DET
afs-63668	9	28	economics	economic	NOUN
afs-63668	9	29	of	of	ADP
afs-63668	9	30	the	the	DET
afs-63668	9	31	eonr	eonr	ADJ
afs-63668	9	32	concept	concept	NOUN
afs-63668	9	33	,	,	PUNCT
afs-63668	9	34	see	see	VERB
afs-63668	9	35	kyveryga	kyveryga	PROPN
afs-63668	9	36	et	et	PROPN
afs-63668	9	37	al	al	PROPN
afs-63668	9	38	.	.	PROPN
afs-63668	9	39	2007	2007	NUM
afs-63668	9	40	)	)	PUNCT
afs-63668	9	41	.	.	PUNCT
afs-63668	10	1	different	different	ADJ
afs-63668	10	2	types	type	NOUN
afs-63668	10	3	of	of	ADP
afs-63668	10	4	univariate	univariate	ADJ
afs-63668	10	5	functions	function	NOUN
afs-63668	10	6	can	can	AUX
afs-63668	10	7	be	be	AUX
afs-63668	10	8	fitted	fit	VERB
afs-63668	10	9	to	to	ADP
afs-63668	10	10	data	datum	NOUN
afs-63668	10	11	from	from	ADP
afs-63668	10	12	field	field	NOUN
afs-63668	10	13	trials	trial	NOUN
afs-63668	10	14	.	.	PUNCT
afs-63668	11	1	rajsic	rajsic	VERB
afs-63668	11	2	and	and	CCONJ
afs-63668	11	3	weersink	weersink	NOUN
afs-63668	11	4	(	(	PUNCT
afs-63668	11	5	2008	2008	NUM
afs-63668	11	6	)	)	PUNCT
afs-63668	11	7	reviewed	review	VERB
afs-63668	11	8	use	use	NOUN
afs-63668	11	9	of	of	ADP
afs-63668	11	10	ex	ex	ADJ
afs-63668	11	11	ante	ante	NOUN
afs-63668	11	12	n	n	PRON
afs-63668	11	13	rates	rate	NOUN
afs-63668	11	14	(	(	PUNCT
afs-63668	11	15	i.e.	i.e.	X
afs-63668	11	16	in	in	ADP
afs-63668	11	17	-	-	PUNCT
afs-63668	11	18	season	season	NOUN
afs-63668	11	19	n	n	CCONJ
afs-63668	11	20	recommendations	recommendation	NOUN
afs-63668	11	21	)	)	PUNCT
afs-63668	11	22	and	and	CCONJ
afs-63668	11	23	ex	ex	PRON
afs-63668	11	24	post	post	NOUN
afs-63668	11	25	n	n	CCONJ
afs-63668	11	26	rates	rate	NOUN
afs-63668	11	27	(	(	PUNCT
afs-63668	11	28	post	post	ADJ
afs-63668	11	29	-	-	ADJ
afs-63668	11	30	harvest	harvest	ADJ
afs-63668	11	31	determination	determination	NOUN
afs-63668	11	32	of	of	ADP
afs-63668	11	33	maximum	maximum	ADJ
afs-63668	11	34	economic	economic	ADJ
afs-63668	11	35	rate	rate	NOUN
afs-63668	11	36	of	of	ADP
afs-63668	11	37	nitrogen	nitrogen	NOUN
afs-63668	11	38	)	)	PUNCT
afs-63668	11	39	in	in	ADP
afs-63668	11	40	canadian	canadian	ADJ
afs-63668	11	41	maize	maize	NOUN
afs-63668	11	42	(	(	PUNCT
afs-63668	11	43	zea	zea	PROPN
afs-63668	11	44	mays	mays	PROPN
afs-63668	11	45	l.	l.	PROPN
afs-63668	11	46	)	)	PUNCT
afs-63668	11	47	production	production	NOUN
afs-63668	11	48	and	and	CCONJ
afs-63668	11	49	found	find	VERB
afs-63668	11	50	that	that	SCONJ
afs-63668	11	51	the	the	DET
afs-63668	11	52	ex	ex	PROPN
afs-63668	11	53	ante	ante	NOUN
afs-63668	11	54	n	n	PRON
afs-63668	11	55	rates	rate	NOUN
afs-63668	11	56	were	be	AUX
afs-63668	11	57	generally	generally	ADV
afs-63668	11	58	higher	high	ADJ
afs-63668	11	59	than	than	ADP
afs-63668	11	60	the	the	DET
afs-63668	11	61	ex	ex	ADJ
afs-63668	11	62	post	post	NOUN
afs-63668	11	63	n	n	PRON
afs-63668	11	64	rates	rate	NOUN
afs-63668	11	65	.	.	PUNCT
afs-63668	12	1	they	they	PRON
afs-63668	12	2	compared	compare	VERB
afs-63668	12	3	different	different	ADJ
afs-63668	12	4	response	response	NOUN
afs-63668	12	5	model	model	NOUN
afs-63668	12	6	types	type	NOUN
afs-63668	12	7	,	,	PUNCT
afs-63668	12	8	but	but	CCONJ
afs-63668	12	9	found	find	VERB
afs-63668	12	10	no	no	DET
afs-63668	12	11	evidence	evidence	NOUN
afs-63668	12	12	that	that	SCONJ
afs-63668	12	13	the	the	DET
afs-63668	12	14	discrepancy	discrepancy	NOUN
afs-63668	12	15	between	between	ADP
afs-63668	12	16	ex	ex	X
afs-63668	12	17	ante	ante	NOUN
afs-63668	12	18	and	and	CCONJ
afs-63668	12	19	ex	ex	ADJ
afs-63668	12	20	post	post	NOUN
afs-63668	12	21	n	n	PRON
afs-63668	12	22	rates	rate	NOUN
afs-63668	12	23	was	be	AUX
afs-63668	12	24	due	due	ADJ
afs-63668	12	25	to	to	ADP
afs-63668	12	26	the	the	DET
afs-63668	12	27	type	type	NOUN
afs-63668	12	28	of	of	ADP
afs-63668	12	29	model	model	NOUN
afs-63668	12	30	used	use	VERB
afs-63668	12	31	to	to	PART
afs-63668	12	32	describe	describe	VERB
afs-63668	12	33	the	the	DET
afs-63668	12	34	n	n	NUM
afs-63668	12	35	response	response	NOUN
afs-63668	12	36	of	of	ADP
afs-63668	12	37	maize	maize	NOUN
afs-63668	12	38	.	.	PUNCT
afs-63668	13	1	however	however	ADV
afs-63668	13	2	,	,	PUNCT
afs-63668	13	3	earlier	early	ADJ
afs-63668	13	4	studies	study	NOUN
afs-63668	13	5	report	report	VERB
afs-63668	13	6	a	a	DET
afs-63668	13	7	systematic	systematic	ADJ
afs-63668	13	8	difference	difference	NOUN
afs-63668	13	9	in	in	ADP
afs-63668	13	10	eonr	eonr	NOUN
afs-63668	13	11	depending	depend	VERB
afs-63668	13	12	on	on	ADP
afs-63668	13	13	model	model	NOUN
afs-63668	13	14	type	type	NOUN
afs-63668	13	15	(	(	PUNCT
afs-63668	13	16	e.g.	e.g.	ADV
afs-63668	13	17	bullock	bullock	NOUN
afs-63668	13	18	and	and	CCONJ
afs-63668	13	19	bullock	bullock	NOUN
afs-63668	13	20	1994	1994	NUM
afs-63668	13	21	)	)	PUNCT
afs-63668	13	22	.	.	PUNCT
afs-63668	14	1	whether	whether	SCONJ
afs-63668	14	2	it	it	PRON
afs-63668	14	3	is	be	AUX
afs-63668	14	4	a	a	DET
afs-63668	14	5	good	good	ADJ
afs-63668	14	6	choice	choice	NOUN
afs-63668	14	7	or	or	CCONJ
afs-63668	14	8	not	not	PART
afs-63668	14	9	,	,	PUNCT
afs-63668	14	10	second	second	ADJ
afs-63668	14	11	-	-	PUNCT
afs-63668	14	12	grade	grade	NOUN
afs-63668	14	13	polynomial	polynomial	NOUN
afs-63668	14	14	is	be	AUX
afs-63668	14	15	the	the	DET
afs-63668	14	16	model	model	NOUN
afs-63668	14	17	type	type	NOUN
afs-63668	14	18	used	use	VERB
afs-63668	14	19	by	by	ADP
afs-63668	14	20	the	the	DET
afs-63668	14	21	swedish	swedish	PROPN
afs-63668	14	22	board	board	PROPN
afs-63668	14	23	of	of	ADP
afs-63668	14	24	agriculture	agriculture	NOUN
afs-63668	14	25	for	for	ADP
afs-63668	14	26	deriving	derive	VERB
afs-63668	14	27	n	n	DET
afs-63668	14	28	recommendations	recommendation	NOUN
afs-63668	14	29	for	for	ADP
afs-63668	14	30	cereals	cereal	NOUN
afs-63668	14	31	(	(	PUNCT
afs-63668	14	32	albertsson	albertsson	NOUN
afs-63668	14	33	et	et	PROPN
afs-63668	14	34	al	al	PROPN
afs-63668	14	35	.	.	PROPN
afs-63668	14	36	2016	2016	NUM
afs-63668	14	37	)	)	PUNCT
afs-63668	14	38	.	.	PUNCT
afs-63668	15	1	environmental	environmental	ADJ
afs-63668	15	2	relevance	relevance	NOUN
afs-63668	15	3	of	of	ADP
afs-63668	15	4	eonr	eonr	ADJ
afs-63668	15	5	the	the	DET
afs-63668	15	6	eonr	eonr	NOUN
afs-63668	15	7	has	have	AUX
afs-63668	15	8	been	be	AUX
afs-63668	15	9	demonstrated	demonstrate	VERB
afs-63668	15	10	to	to	PART
afs-63668	15	11	be	be	AUX
afs-63668	15	12	a	a	DET
afs-63668	15	13	threshold	threshold	NOUN
afs-63668	15	14	for	for	ADP
afs-63668	15	15	increased	increase	VERB
afs-63668	15	16	environmental	environmental	ADJ
afs-63668	15	17	risks	risk	NOUN
afs-63668	15	18	.	.	PUNCT
afs-63668	16	1	lord	lord	PROPN
afs-63668	16	2	and	and	CCONJ
afs-63668	16	3	mitchell	mitchell	PROPN
afs-63668	16	4	(	(	PUNCT
afs-63668	16	5	1998	1998	NUM
afs-63668	16	6	)	)	PUNCT
afs-63668	16	7	found	find	VERB
afs-63668	16	8	that	that	SCONJ
afs-63668	16	9	fertilisation	fertilisation	NOUN
afs-63668	16	10	rates	rate	NOUN
afs-63668	16	11	above	above	ADP
afs-63668	16	12	eonr	eonr	PROPN
afs-63668	16	13	increased	increase	VERB
afs-63668	16	14	n	n	PRON
afs-63668	16	15	leaching	leach	VERB
afs-63668	16	16	,	,	PUNCT
afs-63668	16	17	and	and	CCONJ
afs-63668	16	18	delin	delin	PROPN
afs-63668	16	19	and	and	CCONJ
afs-63668	16	20	stenberg	stenberg	PROPN
afs-63668	16	21	(	(	PUNCT
afs-63668	16	22	2014	2014	NUM
afs-63668	16	23	)	)	PUNCT
afs-63668	16	24	confirmed	confirm	VERB
afs-63668	16	25	this	this	PRON
afs-63668	16	26	in	in	ADP
afs-63668	16	27	swedish	swedish	ADJ
afs-63668	16	28	experiments	experiment	NOUN
afs-63668	16	29	.	.	PUNCT
afs-63668	17	1	both	both	DET
afs-63668	17	2	studies	study	NOUN
afs-63668	17	3	found	find	VERB
afs-63668	17	4	that	that	SCONJ
afs-63668	17	5	the	the	DET
afs-63668	17	6	leaching	leaching	NOUN
afs-63668	17	7	is	be	AUX
afs-63668	17	8	not	not	PART
afs-63668	17	9	linearly	linearly	ADV
afs-63668	17	10	related	relate	VERB
afs-63668	17	11	to	to	ADP
afs-63668	17	12	n	n	PRON
afs-63668	17	13	fertilisation	fertilisation	NOUN
afs-63668	17	14	rate	rate	NOUN
afs-63668	17	15	.	.	PUNCT
afs-63668	18	1	instead	instead	ADV
afs-63668	18	2	,	,	PUNCT
afs-63668	18	3	nitrate	nitrate	NOUN
afs-63668	18	4	leaching	leaching	NOUN
afs-63668	18	5	shows	show	VERB
afs-63668	18	6	a	a	DET
afs-63668	18	7	weak	weak	ADJ
afs-63668	18	8	trend	trend	NOUN
afs-63668	18	9	in	in	ADP
afs-63668	18	10	relation	relation	NOUN
afs-63668	18	11	to	to	ADP
afs-63668	18	12	n	n	NOUN
afs-63668	18	13	rate	rate	VERB
afs-63668	18	14	for	for	ADP
afs-63668	18	15	n	n	NOUN
afs-63668	18	16	rates	rate	NOUN
afs-63668	18	17	<	<	X
afs-63668	18	18	eonr	eonr	ADJ
afs-63668	18	19	and	and	CCONJ
afs-63668	18	20	a	a	DET
afs-63668	18	21	strong	strong	ADJ
afs-63668	18	22	accelerating	accelerate	VERB
afs-63668	18	23	trend	trend	NOUN
afs-63668	18	24	in	in	ADP
afs-63668	18	25	relation	relation	NOUN
afs-63668	18	26	to	to	ADP
afs-63668	18	27	n	n	NOUN
afs-63668	18	28	rate	rate	VERB
afs-63668	18	29	for	for	ADP
afs-63668	18	30	n	n	NOUN
afs-63668	18	31	rates	rate	NOUN
afs-63668	18	32	>	>	X
afs-63668	18	33	eonr	eonr	PROPN
afs-63668	18	34	.	.	PUNCT
afs-63668	19	1	thus	thus	ADV
afs-63668	19	2	,	,	PUNCT
afs-63668	19	3	it	it	PRON
afs-63668	19	4	is	be	AUX
afs-63668	19	5	crucial	crucial	ADJ
afs-63668	19	6	from	from	ADP
afs-63668	19	7	both	both	CCONJ
afs-63668	19	8	an	an	DET
afs-63668	19	9	economic	economic	ADJ
afs-63668	19	10	and	and	CCONJ
afs-63668	19	11	an	an	DET
afs-63668	19	12	environmental	environmental	ADJ
afs-63668	19	13	perspective	perspective	NOUN
afs-63668	19	14	not	not	PART
afs-63668	19	15	to	to	PART
afs-63668	19	16	exceed	exceed	VERB
afs-63668	19	17	eonr	eonr	NOUN
afs-63668	19	18	.	.	PUNCT
afs-63668	20	1	the	the	DET
afs-63668	20	2	∆y	∆y	PROPN
afs-63668	20	3	concept	concept	NOUN
afs-63668	20	4	for	for	ADP
afs-63668	20	5	eonr	eonr	ADJ
afs-63668	20	6	prediction	prediction	NOUN
afs-63668	20	7	kachanoski	kachanoski	PROPN
afs-63668	20	8	et	et	PROPN
afs-63668	20	9	al	al	PROPN
afs-63668	20	10	.	.	PROPN
afs-63668	20	11	(	(	PUNCT
afs-63668	20	12	1996	1996	NUM
afs-63668	20	13	)	)	PUNCT
afs-63668	20	14	demonstrated	demonstrate	VERB
afs-63668	20	15	that	that	SCONJ
afs-63668	20	16	eonr	eonr	PROPN
afs-63668	20	17	is	be	AUX
afs-63668	20	18	poorly	poorly	ADV
afs-63668	20	19	correlated	correlate	VERB
afs-63668	20	20	with	with	ADP
afs-63668	20	21	the	the	DET
afs-63668	20	22	yield	yield	NOUN
afs-63668	20	23	level	level	NOUN
afs-63668	20	24	in	in	ADP
afs-63668	20	25	maize	maize	NOUN
afs-63668	20	26	(	(	PUNCT
afs-63668	20	27	cf	cf	NOUN
afs-63668	20	28	.	.	PUNCT
afs-63668	21	1	raun	raun	PROPN
afs-63668	21	2	et	et	PROPN
afs-63668	21	3	al	al	PROPN
afs-63668	21	4	.	.	PROPN
afs-63668	21	5	2011	2011	NUM
afs-63668	21	6	)	)	PUNCT
afs-63668	21	7	and	and	CCONJ
afs-63668	21	8	consequently	consequently	ADV
afs-63668	21	9	they	they	PRON
afs-63668	21	10	developed	develop	VERB
afs-63668	21	11	the	the	DET
afs-63668	21	12	∆y	∆y	PROPN
afs-63668	21	13	concept	concept	NOUN
afs-63668	21	14	,	,	PUNCT
afs-63668	21	15	where	where	SCONJ
afs-63668	21	16	∆y	∆y	PROPN
afs-63668	21	17	is	be	AUX
afs-63668	21	18	defined	define	VERB
afs-63668	21	19	as	as	ADP
afs-63668	21	20	the	the	DET
afs-63668	21	21	difference	difference	NOUN
afs-63668	21	22	between	between	ADP
afs-63668	21	23	yield	yield	NOUN
afs-63668	21	24	in	in	ADP
afs-63668	21	25	plots	plot	NOUN
afs-63668	21	26	receiving	receive	VERB
afs-63668	21	27	the	the	DET
afs-63668	21	28	eonr	eonr	ADJ
afs-63668	21	29	(	(	PUNCT
afs-63668	21	30	yeonr	yeonr	PROPN
afs-63668	21	31	)	)	PUNCT
afs-63668	21	32	and	and	CCONJ
afs-63668	21	33	yield	yield	VERB
afs-63668	21	34	in	in	ADP
afs-63668	21	35	plots	plot	NOUN
afs-63668	21	36	with	with	ADP
afs-63668	21	37	no	no	PRON
afs-63668	21	38	n	n	PRON
afs-63668	21	39	application	application	NOUN
afs-63668	21	40	(	(	PUNCT
afs-63668	21	41	y0	y0	NOUN
afs-63668	21	42	)	)	PUNCT
afs-63668	21	43	,	,	PUNCT
afs-63668	21	44	see	see	VERB
afs-63668	21	45	equation	equation	NOUN
afs-63668	21	46	1	1	NUM
afs-63668	21	47	.	.	PUNCT
afs-63668	22	1	∆y	∆y	NOUN
afs-63668	22	2	=	=	PUNCT
afs-63668	22	3	yeonr	yeonr	ADJ
afs-63668	22	4	–	–	PUNCT
afs-63668	22	5	y0	y0	NOUN
afs-63668	22	6	equation	equation	NOUN
afs-63668	22	7	1	1	NUM
afs-63668	22	8	agricultural	agricultural	ADJ
afs-63668	22	9	and	and	CCONJ
afs-63668	22	10	food	food	NOUN
afs-63668	22	11	science	science	PROPN
afs-63668	22	12	k.	k.	PROPN
afs-63668	22	13	piikki	piikki	PROPN
afs-63668	22	14	&	&	CCONJ
afs-63668	22	15	b.	b.	PROPN
afs-63668	22	16	stenberg	stenberg	PROPN
afs-63668	22	17	(	(	PUNCT
afs-63668	22	18	2017	2017	NUM
afs-63668	22	19	)	)	PUNCT
afs-63668	22	20	26	26	NUM
afs-63668	22	21	:	:	PUNCT
afs-63668	22	22	233–241	233–241	NUM
afs-63668	22	23	234	234	NUM
afs-63668	22	24	the	the	DET
afs-63668	22	25	∆y	∆y	PROPN
afs-63668	22	26	has	have	AUX
afs-63668	22	27	been	be	AUX
afs-63668	22	28	demonstrated	demonstrate	VERB
afs-63668	22	29	to	to	PART
afs-63668	22	30	be	be	AUX
afs-63668	22	31	a	a	DET
afs-63668	22	32	much	much	ADV
afs-63668	22	33	better	well	ADJ
afs-63668	22	34	indicator	indicator	NOUN
afs-63668	22	35	of	of	ADP
afs-63668	22	36	eonr	eonr	ADJ
afs-63668	22	37	than	than	SCONJ
afs-63668	22	38	yield	yield	VERB
afs-63668	22	39	goal	goal	NOUN
afs-63668	22	40	(	(	PUNCT
afs-63668	22	41	lory	lory	NOUN
afs-63668	22	42	and	and	CCONJ
afs-63668	22	43	scharf	scharf	NOUN
afs-63668	22	44	2003	2003	NUM
afs-63668	22	45	,	,	PUNCT
afs-63668	22	46	fixen	fixen	PROPN
afs-63668	22	47	2006	2006	NUM
afs-63668	22	48	)	)	PUNCT
afs-63668	22	49	or	or	CCONJ
afs-63668	22	50	yeonr	yeonr	VERB
afs-63668	22	51	alone	alone	ADV
afs-63668	22	52	(	(	PUNCT
afs-63668	22	53	nel	nel	PROPN
afs-63668	22	54	and	and	CCONJ
afs-63668	22	55	bloem	bloem	NOUN
afs-63668	22	56	2006	2006	NUM
afs-63668	22	57	)	)	PUNCT
afs-63668	22	58	.	.	PUNCT
afs-63668	23	1	what	what	PRON
afs-63668	23	2	is	be	AUX
afs-63668	23	3	interesting	interesting	ADJ
afs-63668	23	4	to	to	PART
afs-63668	23	5	note	note	VERB
afs-63668	23	6	is	be	AUX
afs-63668	23	7	that	that	SCONJ
afs-63668	23	8	relationships	relationship	NOUN
afs-63668	23	9	parameterised	parameterise	VERB
afs-63668	23	10	with	with	ADP
afs-63668	23	11	field	field	NOUN
afs-63668	23	12	trial	trial	NOUN
afs-63668	23	13	data	datum	NOUN
afs-63668	23	14	from	from	ADP
afs-63668	23	15	the	the	DET
afs-63668	23	16	usa	usa	PROPN
afs-63668	23	17	and	and	CCONJ
afs-63668	23	18	relationships	relationship	NOUN
afs-63668	23	19	parameterised	parameterise	VERB
afs-63668	23	20	with	with	ADP
afs-63668	23	21	south	south	ADJ
afs-63668	23	22	african	african	ADJ
afs-63668	23	23	field	field	NOUN
afs-63668	23	24	trial	trial	NOUN
afs-63668	23	25	data	datum	NOUN
afs-63668	23	26	are	be	AUX
afs-63668	23	27	remarkably	remarkably	ADV
afs-63668	23	28	similar	similar	ADJ
afs-63668	23	29	(	(	PUNCT
afs-63668	23	30	see	see	VERB
afs-63668	23	31	comparison	comparison	NOUN
afs-63668	23	32	by	by	ADP
afs-63668	23	33	nel	nel	PROPN
afs-63668	23	34	and	and	CCONJ
afs-63668	23	35	bloem	bloem	NOUN
afs-63668	23	36	2006	2006	NUM
afs-63668	23	37	)	)	PUNCT
afs-63668	23	38	.	.	PUNCT
afs-63668	24	1	the	the	DET
afs-63668	24	2	theory	theory	NOUN
afs-63668	24	3	behind	behind	ADP
afs-63668	24	4	the	the	DET
afs-63668	24	5	∆y	∆y	PROPN
afs-63668	24	6	concept	concept	NOUN
afs-63668	24	7	for	for	ADP
afs-63668	24	8	eonr	eonr	ADJ
afs-63668	24	9	estimation	estimation	NOUN
afs-63668	24	10	is	be	AUX
afs-63668	24	11	described	describe	VERB
afs-63668	24	12	in	in	ADP
afs-63668	24	13	detail	detail	NOUN
afs-63668	24	14	in	in	ADP
afs-63668	24	15	kachanoski	kachanoski	PROPN
afs-63668	24	16	(	(	PUNCT
afs-63668	24	17	2009	2009	NUM
afs-63668	24	18	)	)	PUNCT
afs-63668	24	19	.	.	PUNCT
afs-63668	25	1	yield	yield	NOUN
afs-63668	25	2	predictions	prediction	NOUN
afs-63668	25	3	for	for	ADP
afs-63668	25	4	in	in	ADP
afs-63668	25	5	-	-	PUNCT
afs-63668	25	6	season	season	NOUN
afs-63668	25	7	eonr	eonr	ADJ
afs-63668	25	8	predictions	prediction	NOUN
afs-63668	25	9	the	the	DET
afs-63668	25	10	∆y	∆y	PROPN
afs-63668	25	11	concept	concept	NOUN
afs-63668	25	12	is	be	AUX
afs-63668	25	13	directly	directly	ADV
afs-63668	25	14	applicable	applicable	ADJ
afs-63668	25	15	to	to	ADP
afs-63668	25	16	post	post	ADJ
afs-63668	25	17	-	-	ADJ
afs-63668	25	18	harvest	harvest	ADJ
afs-63668	25	19	eonr	eonr	ADJ
afs-63668	25	20	predictions	prediction	NOUN
afs-63668	25	21	,	,	PUNCT
afs-63668	25	22	but	but	CCONJ
afs-63668	25	23	a	a	DET
afs-63668	25	24	significant	significant	ADJ
afs-63668	25	25	drawback	drawback	NOUN
afs-63668	25	26	of	of	ADP
afs-63668	25	27	the	the	DET
afs-63668	25	28	approach	approach	NOUN
afs-63668	25	29	is	be	AUX
afs-63668	25	30	that	that	SCONJ
afs-63668	25	31	the	the	DET
afs-63668	25	32	yield	yield	NOUN
afs-63668	25	33	in	in	ADP
afs-63668	25	34	experimental	experimental	ADJ
afs-63668	25	35	plots	plot	NOUN
afs-63668	25	36	is	be	AUX
afs-63668	25	37	not	not	PART
afs-63668	25	38	known	know	VERB
afs-63668	25	39	at	at	ADP
afs-63668	25	40	the	the	DET
afs-63668	25	41	time	time	NOUN
afs-63668	25	42	of	of	ADP
afs-63668	25	43	the	the	DET
afs-63668	25	44	final	final	ADJ
afs-63668	25	45	n	n	CCONJ
afs-63668	25	46	application	application	NOUN
afs-63668	25	47	,	,	PUNCT
afs-63668	25	48	so	so	CCONJ
afs-63668	25	49	the	the	DET
afs-63668	25	50	eonr	eonr	ADJ
afs-63668	25	51	prediction	prediction	NOUN
afs-63668	25	52	models	model	NOUN
afs-63668	25	53	can	can	AUX
afs-63668	25	54	not	not	PART
afs-63668	25	55	be	be	AUX
afs-63668	25	56	applied	apply	VERB
afs-63668	25	57	for	for	ADP
afs-63668	25	58	in	in	ADP
afs-63668	25	59	-	-	PUNCT
afs-63668	25	60	season	season	NOUN
afs-63668	25	61	predictions	prediction	NOUN
afs-63668	25	62	of	of	ADP
afs-63668	25	63	current	current	ADJ
afs-63668	25	64	-	-	PUNCT
afs-63668	25	65	year	year	NOUN
afs-63668	25	66	eonr	eonr	NOUN
afs-63668	25	67	without	without	ADP
afs-63668	25	68	including	include	VERB
afs-63668	25	69	a	a	DET
afs-63668	25	70	yield	yield	NOUN
afs-63668	25	71	prediction	prediction	NOUN
afs-63668	25	72	step	step	NOUN
afs-63668	25	73	.	.	PUNCT
afs-63668	26	1	using	use	VERB
afs-63668	26	2	yields	yield	NOUN
afs-63668	26	3	predicted	predict	VERB
afs-63668	26	4	at	at	ADP
afs-63668	26	5	the	the	DET
afs-63668	26	6	time	time	NOUN
afs-63668	26	7	of	of	ADP
afs-63668	26	8	fertilisation	fertilisation	NOUN
afs-63668	26	9	instead	instead	ADV
afs-63668	26	10	of	of	ADP
afs-63668	26	11	measured	measured	ADJ
afs-63668	26	12	yields	yield	NOUN
afs-63668	26	13	inevitably	inevitably	ADV
afs-63668	26	14	means	mean	VERB
afs-63668	26	15	less	less	ADV
afs-63668	26	16	accurate	accurate	ADJ
afs-63668	26	17	eonr	eonr	ADJ
afs-63668	26	18	predictions	prediction	NOUN
afs-63668	26	19	,	,	PUNCT
afs-63668	26	20	but	but	CCONJ
afs-63668	26	21	this	this	PRON
afs-63668	26	22	is	be	AUX
afs-63668	26	23	still	still	ADV
afs-63668	26	24	an	an	DET
afs-63668	26	25	interesting	interesting	ADJ
afs-63668	26	26	approach	approach	NOUN
afs-63668	26	27	.	.	PUNCT
afs-63668	27	1	there	there	PRON
afs-63668	27	2	are	be	VERB
afs-63668	27	3	promising	promise	VERB
afs-63668	27	4	methods	method	NOUN
afs-63668	27	5	for	for	ADP
afs-63668	27	6	in	in	ADP
afs-63668	27	7	-	-	PUNCT
afs-63668	27	8	season	season	NOUN
afs-63668	27	9	prediction	prediction	NOUN
afs-63668	27	10	of	of	ADP
afs-63668	27	11	wheat	wheat	NOUN
afs-63668	27	12	(	(	PUNCT
afs-63668	27	13	triticum	triticum	NOUN
afs-63668	27	14	aestivum	aestivum	PROPN
afs-63668	27	15	l.	l.	PROPN
afs-63668	27	16	)	)	PUNCT
afs-63668	27	17	yield	yield	NOUN
afs-63668	27	18	,	,	PUNCT
afs-63668	27	19	based	base	VERB
afs-63668	27	20	on	on	ADP
afs-63668	27	21	proximal	proximal	ADJ
afs-63668	27	22	crop	crop	NOUN
afs-63668	27	23	canopy	canopy	NOUN
afs-63668	27	24	(	(	PUNCT
afs-63668	27	25	multior	multior	ADJ
afs-63668	27	26	hyperspectral	hyperspectral	NOUN
afs-63668	27	27	)	)	PUNCT
afs-63668	27	28	reflectance	reflectance	NOUN
afs-63668	27	29	sensors	sensor	NOUN
afs-63668	27	30	(	(	PUNCT
afs-63668	27	31	e.g.	e.g.	ADV
afs-63668	27	32	solie	solie	NOUN
afs-63668	27	33	et	et	PROPN
afs-63668	27	34	al	al	PROPN
afs-63668	27	35	.	.	PROPN
afs-63668	27	36	2012	2012	NUM
afs-63668	27	37	,	,	PUNCT
afs-63668	27	38	øvergaard	øvergaard	NOUN
afs-63668	27	39	et	et	PROPN
afs-63668	27	40	al	al	PROPN
afs-63668	27	41	.	.	PROPN
afs-63668	27	42	2013	2013	NUM
afs-63668	27	43	,	,	PUNCT
afs-63668	27	44	engström	engström	NOUN
afs-63668	27	45	and	and	CCONJ
afs-63668	27	46	piikki	piikki	NOUN
afs-63668	27	47	2016	2016	NUM
afs-63668	27	48	,	,	PUNCT
afs-63668	27	49	montesinos	montesino	NOUN
afs-63668	27	50	-	-	PUNCT
afs-63668	27	51	lópez	lópez	ADJ
afs-63668	27	52	et	et	PROPN
afs-63668	27	53	al	al	PROPN
afs-63668	27	54	.	.	PROPN
afs-63668	27	55	2017	2017	NUM
afs-63668	27	56	)	)	PUNCT
afs-63668	27	57	,	,	PUNCT
afs-63668	27	58	proximal	proximal	ADJ
afs-63668	27	59	crop	crop	NOUN
afs-63668	27	60	canopy	canopy	NOUN
afs-63668	27	61	fluorescence	fluorescence	NOUN
afs-63668	27	62	sensors	sensor	NOUN
afs-63668	27	63	(	(	PUNCT
afs-63668	27	64	zecha	zecha	PROPN
afs-63668	27	65	et	et	PROPN
afs-63668	27	66	al	al	PROPN
afs-63668	27	67	.	.	PROPN
afs-63668	27	68	2017	2017	NUM
afs-63668	27	69	)	)	PUNCT
afs-63668	27	70	and	and	CCONJ
afs-63668	27	71	satellite	satellite	NOUN
afs-63668	27	72	-	-	PUNCT
afs-63668	27	73	borne	bear	VERB
afs-63668	27	74	hyperspectral	hyperspectral	ADJ
afs-63668	27	75	imaging	imaging	NOUN
afs-63668	27	76	(	(	PUNCT
afs-63668	27	77	wang	wang	PROPN
afs-63668	27	78	et	et	PROPN
afs-63668	27	79	al	al	PROPN
afs-63668	27	80	.	.	PROPN
afs-63668	27	81	2014	2014	NUM
afs-63668	27	82	)	)	PUNCT
afs-63668	27	83	.	.	PUNCT
afs-63668	28	1	previous	previous	ADJ
afs-63668	28	2	work	work	NOUN
afs-63668	28	3	has	have	AUX
afs-63668	28	4	indicated	indicate	VERB
afs-63668	28	5	that	that	SCONJ
afs-63668	28	6	predictions	prediction	NOUN
afs-63668	28	7	made	make	VERB
afs-63668	28	8	at	at	ADP
afs-63668	28	9	later	later	ADJ
afs-63668	28	10	growth	growth	NOUN
afs-63668	28	11	stages	stage	NOUN
afs-63668	28	12	are	be	AUX
afs-63668	28	13	generally	generally	ADV
afs-63668	28	14	more	more	ADV
afs-63668	28	15	accurate	accurate	ADJ
afs-63668	28	16	than	than	ADP
afs-63668	28	17	earlier	early	ADJ
afs-63668	28	18	predictions	prediction	NOUN
afs-63668	28	19	and	and	CCONJ
afs-63668	28	20	that	that	SCONJ
afs-63668	28	21	hyperspectral	hyperspectral	ADJ
afs-63668	28	22	measurements	measurement	NOUN
afs-63668	28	23	are	be	AUX
afs-63668	28	24	generally	generally	ADV
afs-63668	28	25	more	more	ADV
afs-63668	28	26	accurate	accurate	ADJ
afs-63668	28	27	than	than	ADP
afs-63668	28	28	predictions	prediction	NOUN
afs-63668	28	29	based	base	VERB
afs-63668	28	30	on	on	ADP
afs-63668	28	31	vegetation	vegetation	NOUN
afs-63668	28	32	indices	index	NOUN
afs-63668	28	33	calculated	calculate	VERB
afs-63668	28	34	from	from	ADP
afs-63668	28	35	a	a	DET
afs-63668	28	36	few	few	ADJ
afs-63668	28	37	wavelength	wavelength	NOUN
afs-63668	28	38	bands	band	NOUN
afs-63668	28	39	.	.	PUNCT
afs-63668	29	1	aim	aim	VERB
afs-63668	29	2	the	the	DET
afs-63668	29	3	aim	aim	NOUN
afs-63668	29	4	of	of	ADP
afs-63668	29	5	the	the	DET
afs-63668	29	6	present	present	ADJ
afs-63668	29	7	study	study	NOUN
afs-63668	29	8	was	be	AUX
afs-63668	29	9	to	to	PART
afs-63668	29	10	mine	mine	VERB
afs-63668	29	11	a	a	DET
afs-63668	29	12	field	field	NOUN
afs-63668	29	13	trial	trial	NOUN
afs-63668	29	14	database	database	NOUN
afs-63668	29	15	comprising	comprise	VERB
afs-63668	29	16	cereal	cereal	NOUN
afs-63668	29	17	yield	yield	NOUN
afs-63668	29	18	data	datum	NOUN
afs-63668	29	19	for	for	ADP
afs-63668	29	20	a	a	DET
afs-63668	29	21	period	period	NOUN
afs-63668	29	22	of	of	ADP
afs-63668	29	23	13	13	NUM
afs-63668	29	24	years	year	NOUN
afs-63668	29	25	at	at	ADP
afs-63668	29	26	different	different	ADJ
afs-63668	29	27	locations	location	NOUN
afs-63668	29	28	in	in	ADP
afs-63668	29	29	sweden	sweden	PROPN
afs-63668	29	30	.	.	PUNCT
afs-63668	30	1	specific	specific	ADJ
afs-63668	30	2	objectives	objective	NOUN
afs-63668	30	3	were	be	AUX
afs-63668	30	4	:	:	PUNCT
afs-63668	30	5	1	1	X
afs-63668	30	6	.	.	PUNCT
afs-63668	30	7	to	to	PART
afs-63668	30	8	examine	examine	VERB
afs-63668	30	9	the	the	DET
afs-63668	30	10	magnitude	magnitude	NOUN
afs-63668	30	11	of	of	ADP
afs-63668	30	12	the	the	DET
afs-63668	30	13	variation	variation	NOUN
afs-63668	30	14	in	in	ADP
afs-63668	30	15	eonr	eonr	ADJ
afs-63668	30	16	,	,	PUNCT
afs-63668	30	17	soil	soil	NOUN
afs-63668	30	18	n	n	PRON
afs-63668	30	19	supply	supply	NOUN
afs-63668	30	20	(	(	PUNCT
afs-63668	30	21	indicated	indicate	VERB
afs-63668	30	22	by	by	ADP
afs-63668	30	23	the	the	DET
afs-63668	30	24	yield	yield	NOUN
afs-63668	30	25	in	in	ADP
afs-63668	30	26	plots	plot	NOUN
afs-63668	30	27	with	with	ADP
afs-63668	30	28	no	no	DET
afs-63668	30	29	n	n	PRON
afs-63668	30	30	application	application	NOUN
afs-63668	30	31	)	)	PUNCT
afs-63668	30	32	and	and	CCONJ
afs-63668	30	33	yield	yield	VERB
afs-63668	30	34	potential	potential	NOUN
afs-63668	30	35	(	(	PUNCT
afs-63668	30	36	indicated	indicate	VERB
afs-63668	30	37	by	by	ADP
afs-63668	30	38	the	the	DET
afs-63668	30	39	yield	yield	NOUN
afs-63668	30	40	in	in	ADP
afs-63668	30	41	plots	plot	NOUN
afs-63668	30	42	with	with	ADP
afs-63668	30	43	a	a	DET
afs-63668	30	44	high	high	ADJ
afs-63668	30	45	n	n	NOUN
afs-63668	30	46	rate	rate	NOUN
afs-63668	30	47	)	)	PUNCT
afs-63668	30	48	for	for	ADP
afs-63668	30	49	wheat	wheat	NOUN
afs-63668	30	50	and	and	CCONJ
afs-63668	30	51	barley	barley	NOUN
afs-63668	30	52	(	(	PUNCT
afs-63668	30	53	hordeum	hordeum	PROPN
afs-63668	30	54	vulgare	vulgare	PROPN
afs-63668	30	55	l.	l.	PROPN
afs-63668	30	56	)	)	PUNCT
afs-63668	30	57	.	.	PUNCT
afs-63668	31	1	2	2	X
afs-63668	31	2	.	.	PUNCT
afs-63668	31	3	to	to	PART
afs-63668	31	4	evaluate	evaluate	VERB
afs-63668	31	5	the	the	DET
afs-63668	31	6	performance	performance	NOUN
afs-63668	31	7	of	of	ADP
afs-63668	31	8	a	a	DET
afs-63668	31	9	modified	modify	VERB
afs-63668	31	10	∆y	∆y	NOUN
afs-63668	31	11	approach	approach	NOUN
afs-63668	31	12	when	when	SCONJ
afs-63668	31	13	applying	apply	VERB
afs-63668	31	14	parameterised	parameterised	ADJ
afs-63668	31	15	models	model	NOUN
afs-63668	31	16	for	for	ADP
afs-63668	31	17	new	new	ADJ
afs-63668	31	18	sites	site	NOUN
afs-63668	31	19	and	and	CCONJ
afs-63668	31	20	years	year	NOUN
afs-63668	31	21	(	(	PUNCT
afs-63668	31	22	i.e.	i.e.	X
afs-63668	31	23	sites	site	NOUN
afs-63668	31	24	and	and	CCONJ
afs-63668	31	25	years	year	NOUN
afs-63668	31	26	not	not	PART
afs-63668	31	27	included	include	VERB
afs-63668	31	28	in	in	ADP
afs-63668	31	29	the	the	DET
afs-63668	31	30	parameterisation	parameterisation	NOUN
afs-63668	31	31	dataset	dataset	NOUN
afs-63668	31	32	)	)	PUNCT
afs-63668	31	33	.	.	PUNCT
afs-63668	32	1	3	3	X
afs-63668	32	2	.	.	X
afs-63668	32	3	to	to	PART
afs-63668	32	4	simulate	simulate	VERB
afs-63668	32	5	the	the	DET
afs-63668	32	6	accuracy	accuracy	NOUN
afs-63668	32	7	of	of	ADP
afs-63668	32	8	the	the	DET
afs-63668	32	9	eonr	eonr	ADJ
afs-63668	32	10	predictions	prediction	NOUN
afs-63668	32	11	in	in	ADP
afs-63668	32	12	relation	relation	NOUN
afs-63668	32	13	to	to	ADP
afs-63668	32	14	increasing	increase	VERB
afs-63668	32	15	input	input	NOUN
afs-63668	32	16	data	datum	NOUN
afs-63668	32	17	uncertainty	uncertainty	NOUN
afs-63668	32	18	.	.	PUNCT
afs-63668	33	1	the	the	DET
afs-63668	33	2	results	result	NOUN
afs-63668	33	3	from	from	ADP
afs-63668	33	4	this	this	DET
afs-63668	33	5	exercise	exercise	NOUN
afs-63668	33	6	were	be	AUX
afs-63668	33	7	intended	intend	VERB
afs-63668	33	8	to	to	PART
afs-63668	33	9	hint	hint	VERB
afs-63668	33	10	at	at	ADP
afs-63668	33	11	prediction	prediction	NOUN
afs-63668	33	12	accuracy	accuracy	NOUN
afs-63668	33	13	when	when	SCONJ
afs-63668	33	14	using	use	VERB
afs-63668	33	15	sensor	sensor	NOUN
afs-63668	33	16	-	-	PUNCT
afs-63668	33	17	based	base	VERB
afs-63668	33	18	yield	yield	NOUN
afs-63668	33	19	estimates	estimate	NOUN
afs-63668	33	20	at	at	ADP
afs-63668	33	21	the	the	DET
afs-63668	33	22	time	time	NOUN
afs-63668	33	23	of	of	ADP
afs-63668	33	24	fertilisation	fertilisation	NOUN
afs-63668	33	25	,	,	PUNCT
afs-63668	33	26	instead	instead	ADV
afs-63668	33	27	of	of	ADP
afs-63668	33	28	observed	observed	ADJ
afs-63668	33	29	yield	yield	NOUN
afs-63668	33	30	values	value	NOUN
afs-63668	33	31	at	at	ADP
afs-63668	33	32	harvest	harvest	NOUN
afs-63668	33	33	.	.	PUNCT
afs-63668	34	1	4	4	X
afs-63668	34	2	.	.	X
afs-63668	34	3	to	to	PART
afs-63668	34	4	develop	develop	VERB
afs-63668	34	5	and	and	CCONJ
afs-63668	34	6	visualise	visualise	VERB
afs-63668	34	7	prediction	prediction	NOUN
afs-63668	34	8	models	model	NOUN
afs-63668	34	9	for	for	ADP
afs-63668	34	10	eonr	eonr	ADJ
afs-63668	34	11	in	in	ADP
afs-63668	34	12	wheat	wheat	NOUN
afs-63668	34	13	and	and	CCONJ
afs-63668	34	14	barley	barley	NOUN
afs-63668	34	15	,	,	PUNCT
afs-63668	34	16	using	use	VERB
afs-63668	34	17	a	a	DET
afs-63668	34	18	modified	modified	ADJ
afs-63668	34	19	∆y	∆y	PROPN
afs-63668	34	20	approach	approach	NOUN
afs-63668	34	21	.	.	PUNCT
afs-63668	35	1	materials	material	NOUN
afs-63668	35	2	and	and	CCONJ
afs-63668	35	3	methods	method	NOUN
afs-63668	35	4	field	field	NOUN
afs-63668	35	5	trial	trial	NOUN
afs-63668	35	6	data	datum	NOUN
afs-63668	35	7	a	a	DET
afs-63668	35	8	subset	subset	NOUN
afs-63668	35	9	of	of	ADP
afs-63668	35	10	data	datum	NOUN
afs-63668	35	11	from	from	ADP
afs-63668	35	12	the	the	DET
afs-63668	35	13	swedish	swedish	ADJ
afs-63668	35	14	field	field	NOUN
afs-63668	35	15	trial	trial	NOUN
afs-63668	35	16	database	database	NOUN
afs-63668	35	17	(	(	PUNCT
afs-63668	35	18	field	field	NOUN
afs-63668	35	19	research	research	NOUN
afs-63668	35	20	unit	unit	NOUN
afs-63668	35	21	,	,	PUNCT
afs-63668	35	22	swedish	swedish	PROPN
afs-63668	35	23	university	university	PROPN
afs-63668	35	24	of	of	ADP
afs-63668	35	25	agricultural	agricultural	ADJ
afs-63668	35	26	sciences	science	NOUN
afs-63668	35	27	)	)	PUNCT
afs-63668	35	28	consisting	consist	VERB
afs-63668	35	29	of	of	ADP
afs-63668	35	30	100	100	NUM
afs-63668	35	31	winter	winter	NOUN
afs-63668	35	32	wheat	wheat	NOUN
afs-63668	35	33	trials	trial	NOUN
afs-63668	35	34	and	and	CCONJ
afs-63668	35	35	47	47	NUM
afs-63668	35	36	barley	barley	NOUN
afs-63668	35	37	trials	trial	NOUN
afs-63668	35	38	was	be	AUX
afs-63668	35	39	used	use	VERB
afs-63668	35	40	.	.	PUNCT
afs-63668	36	1	the	the	DET
afs-63668	36	2	wheat	wheat	NOUN
afs-63668	36	3	trials	trial	NOUN
afs-63668	36	4	were	be	AUX
afs-63668	36	5	conducted	conduct	VERB
afs-63668	36	6	in	in	ADP
afs-63668	36	7	1999–2011	1999–2011	NUM
afs-63668	36	8	and	and	CCONJ
afs-63668	36	9	the	the	DET
afs-63668	36	10	barley	barley	NOUN
afs-63668	36	11	trials	trial	NOUN
afs-63668	36	12	in	in	ADP
afs-63668	36	13	2002–2011	2002–2011	NUM
afs-63668	36	14	.	.	PUNCT
afs-63668	37	1	the	the	DET
afs-63668	37	2	selection	selection	NOUN
afs-63668	37	3	criteria	criterion	NOUN
afs-63668	37	4	for	for	ADP
afs-63668	37	5	barley	barley	NOUN
afs-63668	37	6	trials	trial	NOUN
afs-63668	37	7	were	be	AUX
afs-63668	37	8	:	:	PUNCT
afs-63668	37	9	highest	high	ADJ
afs-63668	37	10	n	n	NOUN
afs-63668	37	11	rate	rate	NOUN
afs-63668	37	12	at	at	ADV
afs-63668	37	13	least	least	ADJ
afs-63668	37	14	160	160	NUM
afs-63668	37	15	kg	kg	NOUN
afs-63668	37	16	n	n	ADP
afs-63668	37	17	ha-1	ha-1	NUM
afs-63668	37	18	,	,	PUNCT
afs-63668	37	19	eonr	eonr	VERB
afs-63668	37	20	at	at	ADP
afs-63668	37	21	most	most	ADJ
afs-63668	37	22	160	160	NUM
afs-63668	37	23	kg	kg	NOUN
afs-63668	37	24	n	n	ADP
afs-63668	37	25	ha-1	ha-1	NUM
afs-63668	37	26	,	,	PUNCT
afs-63668	37	27	at	at	ADP
afs-63668	37	28	least	least	ADJ
afs-63668	37	29	four	four	NUM
afs-63668	37	30	n	n	NOUN
afs-63668	37	31	levels	level	NOUN
afs-63668	37	32	and	and	CCONJ
afs-63668	37	33	that	that	SCONJ
afs-63668	37	34	the	the	DET
afs-63668	37	35	trial	trial	NOUN
afs-63668	37	36	site	site	NOUN
afs-63668	37	37	was	be	AUX
afs-63668	37	38	georeferenced	georeference	VERB
afs-63668	37	39	.	.	PUNCT
afs-63668	38	1	the	the	DET
afs-63668	38	2	selection	selection	NOUN
afs-63668	38	3	criteria	criterion	NOUN
afs-63668	38	4	for	for	ADP
afs-63668	38	5	wheat	wheat	NOUN
afs-63668	38	6	trials	trial	NOUN
afs-63668	38	7	were	be	AUX
afs-63668	38	8	:	:	PUNCT
afs-63668	38	9	highest	high	ADJ
afs-63668	38	10	n	n	NOUN
afs-63668	38	11	rate	rate	NOUN
afs-63668	38	12	at	at	ADV
afs-63668	38	13	least	least	ADV
afs-63668	38	14	180	180	NUM
afs-63668	38	15	kg	kg	NOUN
afs-63668	38	16	n	n	PRON
afs-63668	38	17	ha-1	ha-1	NUM
afs-63668	38	18	,	,	PUNCT
afs-63668	38	19	eonr	eonr	VERB
afs-63668	38	20	at	at	ADP
afs-63668	38	21	most	most	ADV
afs-63668	38	22	300	300	NUM
afs-63668	38	23	kg	kg	NOUN
afs-63668	38	24	n	n	ADP
afs-63668	38	25	ha-1	ha-1	NUM
afs-63668	38	26	,	,	PUNCT
afs-63668	38	27	at	at	ADP
afs-63668	38	28	least	least	ADJ
afs-63668	38	29	four	four	NUM
afs-63668	38	30	n	n	PROPN
afs-63668	38	31	levels	level	NOUN
afs-63668	38	32	,	,	PUNCT
afs-63668	38	33	cereal	cereal	ADJ
afs-63668	38	34	pre	pre	NOUN
afs-63668	38	35	-	-	NOUN
afs-63668	38	36	crop	crop	NOUN
afs-63668	38	37	and	and	CCONJ
afs-63668	38	38	that	that	SCONJ
afs-63668	38	39	the	the	DET
afs-63668	38	40	trial	trial	NOUN
afs-63668	38	41	site	site	NOUN
afs-63668	38	42	was	be	AUX
afs-63668	38	43	georeferenced	georeference	VERB
afs-63668	38	44	.	.	PUNCT
afs-63668	39	1	no	no	DET
afs-63668	39	2	restrictions	restriction	NOUN
afs-63668	39	3	were	be	AUX
afs-63668	39	4	imposed	impose	VERB
afs-63668	39	5	on	on	ADP
afs-63668	39	6	cultivar	cultivar	NOUN
afs-63668	39	7	or	or	CCONJ
afs-63668	39	8	n	n	PRON
afs-63668	39	9	strategy	strategy	NOUN
afs-63668	39	10	(	(	PUNCT
afs-63668	39	11	number	number	NOUN
afs-63668	39	12	of	of	ADP
afs-63668	39	13	n	n	PRON
afs-63668	39	14	fertilisation	fertilisation	NOUN
afs-63668	39	15	occasions	occasion	NOUN
afs-63668	39	16	;	;	PUNCT
afs-63668	39	17	only	only	ADV
afs-63668	39	18	the	the	DET
afs-63668	39	19	total	total	ADJ
afs-63668	39	20	amount	amount	NOUN
afs-63668	39	21	of	of	ADP
afs-63668	39	22	n	n	NUM
afs-63668	39	23	was	be	AUX
afs-63668	39	24	considered	consider	VERB
afs-63668	39	25	)	)	PUNCT
afs-63668	39	26	.	.	PUNCT
afs-63668	40	1	for	for	ADP
afs-63668	40	2	sources	source	NOUN
afs-63668	40	3	of	of	ADP
afs-63668	40	4	agronomic	agronomic	ADJ
afs-63668	40	5	details	detail	NOUN
afs-63668	40	6	on	on	ADP
afs-63668	40	7	the	the	DET
afs-63668	40	8	individual	individual	ADJ
afs-63668	40	9	experiments	experiment	NOUN
afs-63668	40	10	,	,	PUNCT
afs-63668	40	11	see	see	VERB
afs-63668	40	12	appendix	appendix	NOUN
afs-63668	40	13	a.	a.	NOUN
afs-63668	40	14	eonr	eonr	PROPN
afs-63668	40	15	calculation	calculation	NOUN
afs-63668	40	16	a	a	DET
afs-63668	40	17	second	second	ADJ
afs-63668	40	18	-	-	PUNCT
afs-63668	40	19	grade	grade	NOUN
afs-63668	40	20	polynomial	polynomial	NOUN
afs-63668	40	21	(	(	PUNCT
afs-63668	40	22	equation	equation	NOUN
afs-63668	40	23	2	2	NUM
afs-63668	40	24	)	)	PUNCT
afs-63668	40	25	was	be	AUX
afs-63668	40	26	fitted	fit	VERB
afs-63668	40	27	for	for	ADP
afs-63668	40	28	each	each	DET
afs-63668	40	29	trial	trial	NOUN
afs-63668	40	30	and	and	CCONJ
afs-63668	40	31	eonr	eonr	NOUN
afs-63668	40	32	was	be	AUX
afs-63668	40	33	determined	determine	VERB
afs-63668	40	34	as	as	ADP
afs-63668	40	35	the	the	DET
afs-63668	40	36	n	n	NOUN
afs-63668	40	37	rate	rate	NOUN
afs-63668	40	38	where	where	SCONJ
afs-63668	40	39	the	the	DET
afs-63668	40	40	derivative	derivative	NOUN
afs-63668	40	41	of	of	ADP
afs-63668	40	42	the	the	DET
afs-63668	40	43	polynomial	polynomial	NOUN
afs-63668	40	44	equalled	equal	VERB
afs-63668	40	45	the	the	DET
afs-63668	40	46	price	price	NOUN
afs-63668	40	47	ratio	ratio	NOUN
afs-63668	40	48	of	of	ADP
afs-63668	40	49	the	the	DET
afs-63668	40	50	fertiliser	fertiliser	NOUN
afs-63668	40	51	n	n	PROPN
afs-63668	40	52	and	and	CCONJ
afs-63668	40	53	the	the	DET
afs-63668	40	54	grain	grain	NOUN
afs-63668	40	55	produced	produce	VERB
afs-63668	40	56	.	.	PUNCT
afs-63668	41	1	a	a	DET
afs-63668	41	2	price	price	NOUN
afs-63668	41	3	ratio	ratio	NOUN
afs-63668	41	4	of	of	ADP
afs-63668	41	5	10	10	NUM
afs-63668	41	6	was	be	AUX
afs-63668	41	7	used	use	VERB
afs-63668	41	8	as	as	ADP
afs-63668	41	9	a	a	DET
afs-63668	41	10	case	case	NOUN
afs-63668	41	11	example	example	NOUN
afs-63668	41	12	,	,	PUNCT
afs-63668	41	13	but	but	CCONJ
afs-63668	41	14	the	the	DET
afs-63668	41	15	derived	derived	ADJ
afs-63668	41	16	model	model	NOUN
afs-63668	41	17	can	can	AUX
afs-63668	41	18	easily	easily	ADV
afs-63668	41	19	be	be	AUX
afs-63668	41	20	parameterised	parameterise	VERB
afs-63668	41	21	for	for	ADP
afs-63668	41	22	other	other	ADJ
afs-63668	41	23	price	price	NOUN
afs-63668	41	24	ratios	ratio	NOUN
afs-63668	41	25	.	.	PUNCT
afs-63668	42	1	grain	grain	NOUN
afs-63668	42	2	yield	yield	NOUN
afs-63668	42	3	=	=	PUNCT
afs-63668	43	1	a	a	DET
afs-63668	43	2	+	+	NUM
afs-63668	43	3	b	b	NOUN
afs-63668	43	4	×	×	NOUN
afs-63668	43	5	n	n	NOUN
afs-63668	43	6	rate	rate	NOUN
afs-63668	43	7	+	+	CCONJ
afs-63668	43	8	c	c	NOUN
afs-63668	43	9	×	×	NOUN
afs-63668	43	10	(	(	PUNCT
afs-63668	43	11	n	n	NOUN
afs-63668	43	12	rate)2	rate)2	PRON
afs-63668	43	13	equation	equation	NOUN
afs-63668	43	14	2	2	NUM
afs-63668	43	15	agricultural	agricultural	ADJ
afs-63668	43	16	and	and	CCONJ
afs-63668	43	17	food	food	NOUN
afs-63668	43	18	science	science	PROPN
afs-63668	43	19	k.	k.	PROPN
afs-63668	43	20	piikki	piikki	PROPN
afs-63668	43	21	&	&	CCONJ
afs-63668	43	22	b.	b.	PROPN
afs-63668	43	23	stenberg	stenberg	PROPN
afs-63668	43	24	(	(	PUNCT
afs-63668	43	25	2017	2017	NUM
afs-63668	43	26	)	)	PUNCT
afs-63668	43	27	26	26	NUM
afs-63668	43	28	:	:	PUNCT
afs-63668	43	29	233–241	233–241	NUM
afs-63668	43	30	235	235	NUM
afs-63668	43	31	modification	modification	NOUN
afs-63668	43	32	of	of	ADP
afs-63668	43	33	the	the	DET
afs-63668	43	34	∆y	∆y	PROPN
afs-63668	43	35	concept	concept	NOUN
afs-63668	43	36	in	in	ADP
afs-63668	43	37	order	order	NOUN
afs-63668	43	38	to	to	PART
afs-63668	43	39	apply	apply	VERB
afs-63668	43	40	a	a	DET
afs-63668	43	41	parameterised	parameterise	VERB
afs-63668	43	42	relationship	relationship	NOUN
afs-63668	43	43	between	between	ADP
afs-63668	43	44	eonr	eonr	NOUN
afs-63668	43	45	and	and	CCONJ
afs-63668	43	46	∆y	∆y	NOUN
afs-63668	43	47	to	to	ADP
afs-63668	43	48	new	new	ADJ
afs-63668	43	49	sites	site	NOUN
afs-63668	43	50	and	and	CCONJ
afs-63668	43	51	years	year	NOUN
afs-63668	43	52	,	,	PUNCT
afs-63668	43	53	it	it	PRON
afs-63668	43	54	would	would	AUX
afs-63668	43	55	be	be	AUX
afs-63668	43	56	tempting	tempting	ADJ
afs-63668	43	57	to	to	PART
afs-63668	43	58	carry	carry	VERB
afs-63668	43	59	out	out	ADP
afs-63668	43	60	simple	simple	ADJ
afs-63668	43	61	two	two	NUM
afs-63668	43	62	-	-	PUNCT
afs-63668	43	63	rate	rate	NOUN
afs-63668	43	64	n	n	PRON
afs-63668	43	65	experiments	experiment	NOUN
afs-63668	43	66	,	,	PUNCT
afs-63668	43	67	one	one	NUM
afs-63668	43	68	n	n	NOUN
afs-63668	43	69	rate	rate	NOUN
afs-63668	43	70	being	be	AUX
afs-63668	43	71	0	0	NUM
afs-63668	43	72	and	and	CCONJ
afs-63668	43	73	the	the	DET
afs-63668	43	74	other	other	ADJ
afs-63668	43	75	being	be	AUX
afs-63668	43	76	eonr	eonr	VERB
afs-63668	43	77	.	.	PUNCT
afs-63668	44	1	this	this	PRON
afs-63668	44	2	is	be	AUX
afs-63668	44	3	obviously	obviously	ADV
afs-63668	44	4	not	not	PART
afs-63668	44	5	possible	possible	ADJ
afs-63668	44	6	,	,	PUNCT
afs-63668	44	7	since	since	SCONJ
afs-63668	44	8	the	the	DET
afs-63668	44	9	eonr	eonr	NOUN
afs-63668	44	10	is	be	AUX
afs-63668	44	11	not	not	PART
afs-63668	44	12	known	know	VERB
afs-63668	44	13	at	at	ADP
afs-63668	44	14	the	the	DET
afs-63668	44	15	time	time	NOUN
afs-63668	44	16	when	when	SCONJ
afs-63668	44	17	the	the	DET
afs-63668	44	18	trial	trial	NOUN
afs-63668	44	19	plots	plot	NOUN
afs-63668	44	20	are	be	AUX
afs-63668	44	21	being	be	AUX
afs-63668	44	22	fertilised	fertilise	VERB
afs-63668	44	23	.	.	PUNCT
afs-63668	45	1	in	in	ADP
afs-63668	45	2	the	the	DET
afs-63668	45	3	present	present	ADJ
afs-63668	45	4	study	study	NOUN
afs-63668	45	5	,	,	PUNCT
afs-63668	45	6	we	we	PRON
afs-63668	45	7	therefore	therefore	ADV
afs-63668	45	8	modified	modify	VERB
afs-63668	45	9	the	the	DET
afs-63668	45	10	∆y	∆y	PROPN
afs-63668	45	11	concept	concept	NOUN
afs-63668	45	12	and	and	CCONJ
afs-63668	45	13	used	use	VERB
afs-63668	45	14	yield	yield	NOUN
afs-63668	45	15	at	at	ADP
afs-63668	45	16	one	one	NUM
afs-63668	45	17	high	high	ADJ
afs-63668	45	18	n	n	NOUN
afs-63668	45	19	rate	rate	NOUN
afs-63668	45	20	instead	instead	ADV
afs-63668	45	21	of	of	ADP
afs-63668	45	22	yeonr	yeonr	PROPN
afs-63668	45	23	(	(	PUNCT
afs-63668	45	24	equation	equation	NOUN
afs-63668	45	25	3	3	NUM
afs-63668	45	26	)	)	PUNCT
afs-63668	45	27	.	.	PUNCT
afs-63668	46	1	the	the	DET
afs-63668	46	2	chosen	choose	VERB
afs-63668	46	3	rates	rate	NOUN
afs-63668	46	4	were	be	AUX
afs-63668	46	5	200	200	NUM
afs-63668	46	6	kg	kg	NOUN
afs-63668	46	7	n	n	DET
afs-63668	46	8	ha-1	ha-1	NOUN
afs-63668	46	9	for	for	ADP
afs-63668	46	10	barley	barley	NOUN
afs-63668	46	11	and	and	CCONJ
afs-63668	46	12	300	300	NUM
afs-63668	46	13	kg	kg	NOUN
afs-63668	46	14	n	n	PRON
afs-63668	46	15	ha-1	ha-1	NOUN
afs-63668	46	16	for	for	ADP
afs-63668	46	17	wheat	wheat	NOUN
afs-63668	46	18	.	.	PUNCT
afs-63668	47	1	the	the	DET
afs-63668	47	2	yields	yield	NOUN
afs-63668	47	3	at	at	ADP
afs-63668	47	4	the	the	DET
afs-63668	47	5	predetermined	predetermine	VERB
afs-63668	47	6	high	high	ADJ
afs-63668	47	7	n	n	PRON
afs-63668	47	8	rates	rate	NOUN
afs-63668	47	9	were	be	AUX
afs-63668	47	10	denoted	denote	VERB
afs-63668	47	11	yhigh	yhigh	NOUN
afs-63668	47	12	or	or	CCONJ
afs-63668	47	13	y200	y200	PROPN
afs-63668	47	14	and	and	CCONJ
afs-63668	47	15	y300	y300	PROPN
afs-63668	47	16	for	for	ADP
afs-63668	47	17	barley	barley	NOUN
afs-63668	47	18	and	and	CCONJ
afs-63668	47	19	wheat	wheat	NOUN
afs-63668	47	20	,	,	PUNCT
afs-63668	47	21	respectively	respectively	ADV
afs-63668	47	22	.	.	PUNCT
afs-63668	48	1	∆y	∆y	NOUN
afs-63668	48	2	=	=	PUNCT
afs-63668	48	3	yhigh	yhigh	ADJ
afs-63668	48	4	–	–	PUNCT
afs-63668	48	5	y0	y0	NUM
afs-63668	48	6	equation	equation	NOUN
afs-63668	48	7	3	3	NUM
afs-63668	48	8	when	when	SCONJ
afs-63668	48	9	an	an	DET
afs-63668	48	10	experiment	experiment	NOUN
afs-63668	48	11	with	with	ADP
afs-63668	48	12	two	two	NUM
afs-63668	48	13	n	n	DET
afs-63668	48	14	rates	rate	NOUN
afs-63668	48	15	has	have	AUX
afs-63668	48	16	been	be	AUX
afs-63668	48	17	carried	carry	VERB
afs-63668	48	18	out	out	ADP
afs-63668	48	19	,	,	PUNCT
afs-63668	48	20	it	it	PRON
afs-63668	48	21	is	be	AUX
afs-63668	48	22	a	a	DET
afs-63668	48	23	waste	waste	NOUN
afs-63668	48	24	of	of	ADP
afs-63668	48	25	information	information	NOUN
afs-63668	48	26	not	not	PART
afs-63668	48	27	to	to	PART
afs-63668	48	28	use	use	VERB
afs-63668	48	29	the	the	DET
afs-63668	48	30	two	two	NUM
afs-63668	48	31	yields	yield	NOUN
afs-63668	48	32	as	as	ADP
afs-63668	48	33	separate	separate	ADJ
afs-63668	48	34	predictor	predictor	NOUN
afs-63668	48	35	variables	variable	NOUN
afs-63668	48	36	,	,	PUNCT
afs-63668	48	37	instead	instead	ADV
afs-63668	48	38	of	of	ADP
afs-63668	48	39	merging	merge	VERB
afs-63668	48	40	them	they	PRON
afs-63668	48	41	into	into	ADP
afs-63668	48	42	one	one	NUM
afs-63668	48	43	(	(	PUNCT
afs-63668	48	44	the	the	DET
afs-63668	48	45	∆y	∆y	NOUN
afs-63668	48	46	)	)	PUNCT
afs-63668	48	47	.	.	PUNCT
afs-63668	49	1	their	their	PRON
afs-63668	49	2	effect	effect	NOUN
afs-63668	49	3	on	on	ADP
afs-63668	49	4	eonr	eonr	NOUN
afs-63668	49	5	may	may	AUX
afs-63668	49	6	not	not	PART
afs-63668	49	7	be	be	AUX
afs-63668	49	8	of	of	ADP
afs-63668	49	9	the	the	DET
afs-63668	49	10	same	same	ADJ
afs-63668	49	11	magnitude	magnitude	NOUN
afs-63668	49	12	and	and	CCONJ
afs-63668	49	13	that	that	SCONJ
afs-63668	49	14	information	information	NOUN
afs-63668	49	15	would	would	AUX
afs-63668	49	16	be	be	AUX
afs-63668	49	17	lost	lose	VERB
afs-63668	49	18	if	if	SCONJ
afs-63668	49	19	the	the	DET
afs-63668	49	20	relationship	relationship	NOUN
afs-63668	49	21	were	be	AUX
afs-63668	49	22	to	to	PART
afs-63668	49	23	be	be	AUX
afs-63668	49	24	based	base	VERB
afs-63668	49	25	on	on	ADP
afs-63668	49	26	∆y	∆y	PROPN
afs-63668	49	27	.	.	PUNCT
afs-63668	50	1	we	we	PRON
afs-63668	50	2	therefore	therefore	ADV
afs-63668	50	3	parameterised	parameterise	VERB
afs-63668	50	4	a	a	DET
afs-63668	50	5	bivariate	bivariate	ADJ
afs-63668	50	6	linear	linear	ADJ
afs-63668	50	7	function	function	NOUN
afs-63668	50	8	for	for	ADP
afs-63668	50	9	eonr	eonr	ADJ
afs-63668	50	10	prediction	prediction	NOUN
afs-63668	50	11	(	(	PUNCT
afs-63668	50	12	equation	equation	NOUN
afs-63668	50	13	4	4	NUM
afs-63668	50	14	)	)	PUNCT
afs-63668	50	15	.	.	PUNCT
afs-63668	51	1	a	a	DET
afs-63668	51	2	model	model	NOUN
afs-63668	51	3	with	with	ADP
afs-63668	51	4	more	more	ADJ
afs-63668	51	5	parameters	parameter	NOUN
afs-63668	51	6	is	be	AUX
afs-63668	51	7	more	more	ADV
afs-63668	51	8	flexible	flexible	ADJ
afs-63668	51	9	and	and	CCONJ
afs-63668	51	10	has	have	VERB
afs-63668	51	11	the	the	DET
afs-63668	51	12	potential	potential	NOUN
afs-63668	51	13	to	to	PART
afs-63668	51	14	better	well	ADV
afs-63668	51	15	parameterise	parameterise	VERB
afs-63668	51	16	the	the	DET
afs-63668	51	17	variation	variation	NOUN
afs-63668	51	18	in	in	ADP
afs-63668	51	19	the	the	DET
afs-63668	51	20	response	response	NOUN
afs-63668	51	21	variable	variable	NOUN
afs-63668	51	22	.	.	PUNCT
afs-63668	52	1	on	on	ADP
afs-63668	52	2	the	the	DET
afs-63668	52	3	other	other	ADJ
afs-63668	52	4	hand	hand	NOUN
afs-63668	52	5	,	,	PUNCT
afs-63668	52	6	using	use	VERB
afs-63668	52	7	more	more	ADJ
afs-63668	52	8	parameters	parameter	NOUN
afs-63668	52	9	carries	carry	VERB
afs-63668	52	10	an	an	DET
afs-63668	52	11	increased	increased	ADJ
afs-63668	52	12	risk	risk	NOUN
afs-63668	52	13	of	of	ADP
afs-63668	52	14	overfitting	overfitting	NOUN
afs-63668	52	15	,	,	PUNCT
afs-63668	52	16	which	which	PRON
afs-63668	52	17	would	would	AUX
afs-63668	52	18	mean	mean	VERB
afs-63668	52	19	less	less	ADV
afs-63668	52	20	robust	robust	ADJ
afs-63668	52	21	models	model	NOUN
afs-63668	52	22	(	(	PUNCT
afs-63668	52	23	hastie	hastie	PROPN
afs-63668	52	24	et	et	PROPN
afs-63668	52	25	al	al	PROPN
afs-63668	52	26	.	.	PROPN
afs-63668	52	27	2009	2009	NUM
afs-63668	52	28	)	)	PUNCT
afs-63668	52	29	.	.	PUNCT
afs-63668	53	1	eonr	eonr	PROPN
afs-63668	53	2	=	=	PUNCT
afs-63668	54	1	a	a	DET
afs-63668	54	2	+	+	NOUN
afs-63668	54	3	b	b	NOUN
afs-63668	54	4	×	×	NOUN
afs-63668	54	5	y0	y0	NOUN
afs-63668	54	6	+	+	CCONJ
afs-63668	54	7	c	c	PROPN
afs-63668	54	8	×	×	NOUN
afs-63668	54	9	yhigh	yhigh	NOUN
afs-63668	54	10	equation	equation	NOUN
afs-63668	54	11	4	4	NUM
afs-63668	54	12	for	for	ADP
afs-63668	54	13	comparison	comparison	NOUN
afs-63668	54	14	,	,	PUNCT
afs-63668	54	15	univariate	univariate	ADJ
afs-63668	54	16	linear	linear	ADJ
afs-63668	54	17	prediction	prediction	NOUN
afs-63668	54	18	models	model	NOUN
afs-63668	54	19	were	be	AUX
afs-63668	54	20	also	also	ADV
afs-63668	54	21	parameterised	parameterise	VERB
afs-63668	54	22	,	,	PUNCT
afs-63668	54	23	one	one	NUM
afs-63668	54	24	for	for	ADP
afs-63668	54	25	each	each	DET
afs-63668	54	26	predictor	predictor	NOUN
afs-63668	54	27	(	(	PUNCT
afs-63668	54	28	equations	equation	NOUN
afs-63668	54	29	5–6	5–6	VERB
afs-63668	54	30	):	):	PUNCT
afs-63668	54	31	eonr	eonr	NOUN
afs-63668	54	32	=	=	PUNCT
afs-63668	54	33	a	a	DET
afs-63668	54	34	+	+	NOUN
afs-63668	54	35	b	b	NOUN
afs-63668	54	36	×	×	NOUN
afs-63668	54	37	y0	y0	NOUN
afs-63668	54	38	equation	equation	NOUN
afs-63668	54	39	5	5	NUM
afs-63668	54	40	eonr	eonr	ADJ
afs-63668	54	41	=	=	PUNCT
afs-63668	54	42	a	a	DET
afs-63668	54	43	+	+	NUM
afs-63668	54	44	b	b	NUM
afs-63668	54	45	×	×	ADJ
afs-63668	54	46	yhigh	yhigh	NOUN
afs-63668	54	47	equation	equation	NOUN
afs-63668	54	48	6	6	NUM
afs-63668	54	49	k	k	ADV
afs-63668	54	50	-	-	ADJ
afs-63668	54	51	fold	fold	ADJ
afs-63668	54	52	cross	cross	NOUN
afs-63668	54	53	-	-	NOUN
afs-63668	54	54	evaluation	evaluation	NOUN
afs-63668	54	55	for	for	ADP
afs-63668	54	56	a	a	DET
afs-63668	54	57	prediction	prediction	NOUN
afs-63668	54	58	model	model	NOUN
afs-63668	54	59	to	to	PART
afs-63668	54	60	be	be	AUX
afs-63668	54	61	of	of	ADP
afs-63668	54	62	any	any	DET
afs-63668	54	63	value	value	NOUN
afs-63668	54	64	,	,	PUNCT
afs-63668	54	65	it	it	PRON
afs-63668	54	66	has	have	VERB
afs-63668	54	67	to	to	PART
afs-63668	54	68	make	make	VERB
afs-63668	54	69	reliable	reliable	ADJ
afs-63668	54	70	predictions	prediction	NOUN
afs-63668	54	71	when	when	SCONJ
afs-63668	54	72	applied	apply	VERB
afs-63668	54	73	to	to	ADP
afs-63668	54	74	new	new	ADJ
afs-63668	54	75	sites	site	NOUN
afs-63668	54	76	and	and	CCONJ
afs-63668	54	77	years	year	NOUN
afs-63668	54	78	not	not	PART
afs-63668	54	79	present	present	ADJ
afs-63668	54	80	in	in	ADP
afs-63668	54	81	the	the	DET
afs-63668	54	82	parameterisation	parameterisation	NOUN
afs-63668	54	83	dataset	dataset	VERB
afs-63668	54	84	.	.	PUNCT
afs-63668	55	1	therefore	therefore	ADV
afs-63668	55	2	a	a	DET
afs-63668	55	3	k	k	ADJ
afs-63668	55	4	-	-	ADJ
afs-63668	55	5	fold	fold	ADJ
afs-63668	55	6	cross	cross	ADJ
afs-63668	55	7	-	-	ADJ
afs-63668	55	8	evaluation	evaluation	ADJ
afs-63668	55	9	strategy	strategy	NOUN
afs-63668	55	10	was	be	AUX
afs-63668	55	11	applied	apply	VERB
afs-63668	55	12	.	.	PUNCT
afs-63668	56	1	a	a	DET
afs-63668	56	2	fold	fold	NOUN
afs-63668	56	3	(	(	PUNCT
afs-63668	56	4	subset	subset	NOUN
afs-63668	56	5	of	of	ADP
afs-63668	56	6	data	datum	NOUN
afs-63668	56	7	)	)	PUNCT
afs-63668	56	8	consisted	consist	VERB
afs-63668	56	9	of	of	ADP
afs-63668	56	10	all	all	DET
afs-63668	56	11	trials	trial	NOUN
afs-63668	56	12	performed	perform	VERB
afs-63668	56	13	in	in	ADP
afs-63668	56	14	one	one	NUM
afs-63668	56	15	year	year	NOUN
afs-63668	56	16	.	.	PUNCT
afs-63668	57	1	one	one	NUM
afs-63668	57	2	such	such	ADJ
afs-63668	57	3	fold	fold	NOUN
afs-63668	57	4	was	be	AUX
afs-63668	57	5	withheld	withhold	VERB
afs-63668	57	6	from	from	ADP
afs-63668	57	7	model	model	NOUN
afs-63668	57	8	parameterisation	parameterisation	NOUN
afs-63668	57	9	and	and	CCONJ
afs-63668	57	10	the	the	DET
afs-63668	57	11	resulting	result	VERB
afs-63668	57	12	model	model	NOUN
afs-63668	57	13	was	be	AUX
afs-63668	57	14	then	then	ADV
afs-63668	57	15	applied	apply	VERB
afs-63668	57	16	to	to	ADP
afs-63668	57	17	the	the	DET
afs-63668	57	18	withheld	withhold	VERB
afs-63668	57	19	fold	fold	NOUN
afs-63668	57	20	.	.	PUNCT
afs-63668	58	1	additionally	additionally	ADV
afs-63668	58	2	,	,	PUNCT
afs-63668	58	3	any	any	DET
afs-63668	58	4	trials	trial	NOUN
afs-63668	58	5	conducted	conduct	VERB
afs-63668	58	6	in	in	ADP
afs-63668	58	7	the	the	DET
afs-63668	58	8	neighbourhood	neighbourhood	NOUN
afs-63668	58	9	(	(	PUNCT
afs-63668	58	10	<	<	X
afs-63668	58	11	1	1	NUM
afs-63668	58	12	km	km	NOUN
afs-63668	58	13	)	)	PUNCT
afs-63668	58	14	of	of	ADP
afs-63668	58	15	a	a	DET
afs-63668	58	16	trial	trial	NOUN
afs-63668	58	17	in	in	ADP
afs-63668	58	18	the	the	DET
afs-63668	58	19	withheld	withhold	VERB
afs-63668	58	20	fold	fold	NOUN
afs-63668	58	21	were	be	AUX
afs-63668	58	22	omitted	omit	VERB
afs-63668	58	23	from	from	ADP
afs-63668	58	24	parameterisation	parameterisation	NOUN
afs-63668	58	25	.	.	PUNCT
afs-63668	59	1	the	the	DET
afs-63668	59	2	procedure	procedure	NOUN
afs-63668	59	3	was	be	AUX
afs-63668	59	4	repeated	repeat	VERB
afs-63668	59	5	k	k	PROPN
afs-63668	59	6	times	time	NOUN
afs-63668	59	7	,	,	PUNCT
afs-63668	59	8	until	until	SCONJ
afs-63668	59	9	eonr	eonr	PROPN
afs-63668	59	10	was	be	AUX
afs-63668	59	11	predicted	predict	VERB
afs-63668	59	12	for	for	ADP
afs-63668	59	13	all	all	DET
afs-63668	59	14	trials	trial	NOUN
afs-63668	59	15	.	.	PUNCT
afs-63668	60	1	this	this	DET
afs-63668	60	2	evaluation	evaluation	NOUN
afs-63668	60	3	design	design	NOUN
afs-63668	60	4	was	be	AUX
afs-63668	60	5	applied	apply	VERB
afs-63668	60	6	because	because	SCONJ
afs-63668	60	7	it	it	PRON
afs-63668	60	8	has	have	AUX
afs-63668	60	9	been	be	AUX
afs-63668	60	10	demonstrated	demonstrate	VERB
afs-63668	60	11	that	that	SCONJ
afs-63668	60	12	the	the	DET
afs-63668	60	13	exclusion	exclusion	NOUN
afs-63668	60	14	of	of	ADP
afs-63668	60	15	nearby	nearby	ADJ
afs-63668	60	16	sites	site	NOUN
afs-63668	60	17	is	be	AUX
afs-63668	60	18	crucial	crucial	ADJ
afs-63668	60	19	for	for	ADP
afs-63668	60	20	the	the	DET
afs-63668	60	21	identification	identification	NOUN
afs-63668	60	22	of	of	ADP
afs-63668	60	23	robust	robust	ADJ
afs-63668	60	24	models	model	NOUN
afs-63668	60	25	(	(	PUNCT
afs-63668	60	26	piikki	piikki	NOUN
afs-63668	60	27	et	et	PROPN
afs-63668	60	28	al	al	PROPN
afs-63668	60	29	.	.	PROPN
afs-63668	60	30	2016	2016	NUM
afs-63668	60	31	)	)	PUNCT
afs-63668	60	32	.	.	PUNCT
afs-63668	61	1	evaluation	evaluation	NOUN
afs-63668	61	2	measures	measure	NOUN
afs-63668	61	3	the	the	DET
afs-63668	61	4	mean	mean	ADJ
afs-63668	61	5	absolute	absolute	ADJ
afs-63668	61	6	error	error	NOUN
afs-63668	61	7	(	(	PUNCT
afs-63668	61	8	mae	mae	PROPN
afs-63668	61	9	;	;	PUNCT
afs-63668	61	10	equation	equation	NOUN
afs-63668	61	11	7	7	NUM
afs-63668	61	12	)	)	PUNCT
afs-63668	61	13	and	and	CCONJ
afs-63668	61	14	the	the	DET
afs-63668	61	15	modelling	modelling	NOUN
afs-63668	61	16	efficiency	efficiency	NOUN
afs-63668	61	17	(	(	PUNCT
afs-63668	61	18	me	i	PRON
afs-63668	61	19	;	;	PUNCT
afs-63668	61	20	equation	equation	NOUN
afs-63668	61	21	8	8	NUM
afs-63668	61	22	;	;	PUNCT
afs-63668	61	23	nash	nash	PROPN
afs-63668	61	24	and	and	CCONJ
afs-63668	61	25	sutcliffe	sutcliffe	PROPN
afs-63668	61	26	1970	1970	NUM
afs-63668	61	27	)	)	PUNCT
afs-63668	61	28	were	be	AUX
afs-63668	61	29	used	use	VERB
afs-63668	61	30	to	to	PART
afs-63668	61	31	quantify	quantify	VERB
afs-63668	61	32	the	the	DET
afs-63668	61	33	modelling	modelling	NOUN
afs-63668	61	34	accuracy	accuracy	NOUN
afs-63668	61	35	in	in	ADP
afs-63668	61	36	absolute	absolute	ADJ
afs-63668	61	37	(	(	PUNCT
afs-63668	61	38	mae	mae	PROPN
afs-63668	61	39	)	)	PUNCT
afs-63668	61	40	and	and	CCONJ
afs-63668	61	41	relative	relative	ADJ
afs-63668	61	42	(	(	PUNCT
afs-63668	61	43	me	i	PRON
afs-63668	61	44	)	)	PUNCT
afs-63668	61	45	terms	term	NOUN
afs-63668	61	46	.	.	PUNCT
afs-63668	62	1	the	the	DET
afs-63668	62	2	mae	mae	PROPN
afs-63668	62	3	indicates	indicate	VERB
afs-63668	62	4	the	the	DET
afs-63668	62	5	magnitude	magnitude	NOUN
afs-63668	62	6	of	of	ADP
afs-63668	62	7	errors	error	NOUN
afs-63668	62	8	,	,	PUNCT
afs-63668	62	9	but	but	CCONJ
afs-63668	62	10	does	do	AUX
afs-63668	62	11	not	not	PART
afs-63668	62	12	reveal	reveal	VERB
afs-63668	62	13	whether	whether	SCONJ
afs-63668	62	14	there	there	PRON
afs-63668	62	15	is	be	VERB
afs-63668	62	16	any	any	DET
afs-63668	62	17	general	general	ADJ
afs-63668	62	18	overor	overor	NOUN
afs-63668	62	19	under	under	ADP
afs-63668	62	20	-	-	PUNCT
afs-63668	62	21	estimation	estimation	NOUN
afs-63668	62	22	of	of	ADP
afs-63668	62	23	eonr	eonr	PROPN
afs-63668	62	24	.	.	PUNCT
afs-63668	63	1	the	the	DET
afs-63668	63	2	me	i	PRON
afs-63668	63	3	is	be	AUX
afs-63668	63	4	defined	define	VERB
afs-63668	63	5	in	in	ADP
afs-63668	63	6	the	the	DET
afs-63668	63	7	half	half	ADJ
afs-63668	63	8	-	-	PUNCT
afs-63668	63	9	open	open	ADJ
afs-63668	63	10	interval	interval	NOUN
afs-63668	63	11	(	(	PUNCT
afs-63668	63	12	-∞	-∞	NOUN
afs-63668	63	13	,	,	PUNCT
afs-63668	63	14	1	1	NUM
afs-63668	63	15	)	)	PUNCT
afs-63668	63	16	.	.	PUNCT
afs-63668	64	1	me	i	PRON
afs-63668	64	2	=	=	SYM
afs-63668	64	3	0	0	NUM
afs-63668	64	4	indicates	indicate	VERB
afs-63668	64	5	that	that	SCONJ
afs-63668	64	6	using	use	VERB
afs-63668	64	7	the	the	DET
afs-63668	64	8	model	model	NOUN
afs-63668	64	9	is	be	AUX
afs-63668	64	10	not	not	PART
afs-63668	64	11	better	well	ADJ
afs-63668	64	12	than	than	ADP
afs-63668	64	13	using	use	VERB
afs-63668	64	14	the	the	DET
afs-63668	64	15	mean	mean	NOUN
afs-63668	64	16	of	of	ADP
afs-63668	64	17	the	the	DET
afs-63668	64	18	parameterisation	parameterisation	NOUN
afs-63668	64	19	dataset	dataset	NOUN
afs-63668	64	20	,	,	PUNCT
afs-63668	64	21	while	while	SCONJ
afs-63668	64	22	me	i	PRON
afs-63668	64	23	=	=	SYM
afs-63668	64	24	1	1	NUM
afs-63668	64	25	means	mean	VERB
afs-63668	64	26	that	that	SCONJ
afs-63668	64	27	the	the	DET
afs-63668	64	28	model	model	NOUN
afs-63668	64	29	predicted	predict	VERB
afs-63668	64	30	all	all	DET
afs-63668	64	31	eonr	eonr	ADJ
afs-63668	64	32	values	value	NOUN
afs-63668	64	33	correctly	correctly	ADV
afs-63668	64	34	.	.	PUNCT
afs-63668	65	1	the	the	DET
afs-63668	65	2	letter	letter	NOUN
afs-63668	65	3	o	o	PROPN
afs-63668	65	4	in	in	ADP
afs-63668	65	5	equations	equation	NOUN
afs-63668	65	6	7	7	NUM
afs-63668	65	7	and	and	CCONJ
afs-63668	65	8	8	8	NUM
afs-63668	65	9	denotes	denote	NOUN
afs-63668	65	10	observed	observe	VERB
afs-63668	65	11	values	value	NOUN
afs-63668	65	12	(	(	PUNCT
afs-63668	65	13	i.e.	i.e.	X
afs-63668	65	14	eonr	eonr	PROPN
afs-63668	65	15	determined	determine	VERB
afs-63668	65	16	in	in	ADP
afs-63668	65	17	field	field	NOUN
afs-63668	65	18	trials	trial	NOUN
afs-63668	65	19	)	)	PUNCT
afs-63668	65	20	and	and	CCONJ
afs-63668	65	21	p	p	NOUN
afs-63668	65	22	denotes	denote	NOUN
afs-63668	65	23	predicted	predict	VERB
afs-63668	65	24	eonr	eonr	VERB
afs-63668	65	25	.	.	PUNCT
afs-63668	66	1	mae	mae	PROPN
afs-63668	66	2	=	=	PRON
afs-63668	66	3	(	(	PUNCT
afs-63668	66	4	σ	σ	PROPN
afs-63668	66	5	|o	|o	ADJ
afs-63668	66	6	–	–	PUNCT
afs-63668	66	7	p|	p|	NOUN
afs-63668	66	8	)	)	PUNCT
afs-63668	66	9	equation	equation	NOUN
afs-63668	66	10	7	7	NUM
afs-63668	66	11	me	i	PRON
afs-63668	66	12	=	=	SYM
afs-63668	66	13	1-((σ	1-((σ	NUM
afs-63668	66	14	(	(	PUNCT
afs-63668	66	15	o	o	INTJ
afs-63668	66	16	–	–	PUNCT
afs-63668	66	17	p)2	p)2	NOUN
afs-63668	66	18	)	)	PUNCT
afs-63668	66	19	/	/	SYM
afs-63668	66	20	(	(	PUNCT
afs-63668	66	21	σ	σ	PROPN
afs-63668	66	22	(	(	PUNCT
afs-63668	66	23	o	o	INTJ
afs-63668	66	24	–	–	PUNCT
afs-63668	66	25	mean	mean	NOUN
afs-63668	66	26	(	(	PUNCT
afs-63668	66	27	o))2	o))2	PROPN
afs-63668	66	28	)	)	PUNCT
afs-63668	66	29	equation	equation	NOUN
afs-63668	66	30	8	8	NUM
afs-63668	66	31	simulation	simulation	NOUN
afs-63668	66	32	of	of	ADP
afs-63668	66	33	accuracy	accuracy	NOUN
afs-63668	66	34	loss	loss	NOUN
afs-63668	66	35	caused	cause	VERB
afs-63668	66	36	by	by	ADP
afs-63668	66	37	yield	yield	NOUN
afs-63668	66	38	data	datum	NOUN
afs-63668	66	39	uncertainty	uncertainty	NOUN
afs-63668	66	40	random	random	ADJ
afs-63668	66	41	errors	error	NOUN
afs-63668	66	42	(	(	PUNCT
afs-63668	66	43	noise	noise	NOUN
afs-63668	66	44	)	)	PUNCT
afs-63668	66	45	were	be	AUX
afs-63668	66	46	added	add	VERB
afs-63668	66	47	to	to	ADP
afs-63668	66	48	the	the	DET
afs-63668	66	49	predictors	predictor	NOUN
afs-63668	66	50	for	for	ADP
afs-63668	66	51	simulation	simulation	NOUN
afs-63668	66	52	of	of	ADP
afs-63668	66	53	model	model	NOUN
afs-63668	66	54	accuracy	accuracy	NOUN
afs-63668	66	55	in	in	ADP
afs-63668	66	56	relation	relation	NOUN
afs-63668	66	57	to	to	PART
afs-63668	66	58	yield	yield	VERB
afs-63668	66	59	data	datum	NOUN
afs-63668	66	60	uncertainty	uncertainty	NOUN
afs-63668	66	61	.	.	PUNCT
afs-63668	67	1	the	the	DET
afs-63668	67	2	errors	error	NOUN
afs-63668	67	3	were	be	AUX
afs-63668	67	4	randomly	randomly	ADV
afs-63668	67	5	sampled	sample	VERB
afs-63668	67	6	from	from	ADP
afs-63668	67	7	gaussian	gaussian	ADJ
afs-63668	67	8	distributions	distribution	NOUN
afs-63668	67	9	with	with	ADP
afs-63668	67	10	a	a	DET
afs-63668	67	11	mean	mean	NOUN
afs-63668	67	12	of	of	ADP
afs-63668	67	13	zero	zero	NUM
afs-63668	67	14	and	and	CCONJ
afs-63668	67	15	a	a	DET
afs-63668	67	16	standard	standard	ADJ
afs-63668	67	17	deviation	deviation	NOUN
afs-63668	67	18	of	of	ADP
afs-63668	67	19	400	400	NUM
afs-63668	67	20	,	,	PUNCT
afs-63668	67	21	800	800	NUM
afs-63668	67	22	,	,	PUNCT
afs-63668	67	23	1200	1200	NUM
afs-63668	67	24	,	,	PUNCT
afs-63668	67	25	1600	1600	NUM
afs-63668	67	26	,	,	PUNCT
afs-63668	67	27	2000	2000	NUM
afs-63668	67	28	and	and	CCONJ
afs-63668	67	29	2400	2400	NUM
afs-63668	67	30	kg	kg	NOUN
afs-63668	67	31	ha-1	ha-1	NUM
afs-63668	67	32	.	.	PUNCT
afs-63668	68	1	agricultural	agricultural	ADJ
afs-63668	68	2	and	and	CCONJ
afs-63668	68	3	food	food	NOUN
afs-63668	68	4	science	science	PROPN
afs-63668	68	5	k.	k.	PROPN
afs-63668	68	6	piikki	piikki	PROPN
afs-63668	68	7	&	&	CCONJ
afs-63668	68	8	b.	b.	PROPN
afs-63668	68	9	stenberg	stenberg	PROPN
afs-63668	68	10	(	(	PUNCT
afs-63668	68	11	2017	2017	NUM
afs-63668	68	12	)	)	PUNCT
afs-63668	68	13	26	26	NUM
afs-63668	68	14	:	:	PUNCT
afs-63668	68	15	233–241	233–241	NUM
afs-63668	68	16	236	236	NUM
afs-63668	68	17	mae	mae	PROPN
afs-63668	68	18	values	value	NOUN
afs-63668	68	19	were	be	AUX
afs-63668	68	20	determined	determine	VERB
afs-63668	68	21	by	by	ADP
afs-63668	68	22	the	the	DET
afs-63668	68	23	k	k	ADJ
afs-63668	68	24	-	-	ADJ
afs-63668	68	25	fold	fold	ADJ
afs-63668	68	26	cross	cross	ADJ
afs-63668	68	27	-	-	ADJ
afs-63668	68	28	evaluation	evaluation	ADJ
afs-63668	68	29	strategy	strategy	NOUN
afs-63668	68	30	described	describe	VERB
afs-63668	68	31	above	above	ADV
afs-63668	68	32	.	.	PUNCT
afs-63668	69	1	in	in	ADP
afs-63668	69	2	this	this	DET
afs-63668	69	3	case	case	NOUN
afs-63668	69	4	,	,	PUNCT
afs-63668	69	5	however	however	ADV
afs-63668	69	6	,	,	PUNCT
afs-63668	69	7	the	the	DET
afs-63668	69	8	models	model	NOUN
afs-63668	69	9	were	be	AUX
afs-63668	69	10	parameterised	parameterise	VERB
afs-63668	69	11	with	with	ADP
afs-63668	69	12	non	non	ADJ
afs-63668	69	13	-	-	ADJ
afs-63668	69	14	noisy	noisy	ADJ
afs-63668	69	15	yield	yield	NOUN
afs-63668	69	16	data	datum	NOUN
afs-63668	69	17	and	and	CCONJ
afs-63668	69	18	predictions	prediction	NOUN
afs-63668	69	19	were	be	AUX
afs-63668	69	20	made	make	VERB
afs-63668	69	21	using	use	VERB
afs-63668	69	22	the	the	DET
afs-63668	69	23	yield	yield	NOUN
afs-63668	69	24	data	datum	NOUN
afs-63668	69	25	with	with	ADP
afs-63668	69	26	added	add	VERB
afs-63668	69	27	noise	noise	NOUN
afs-63668	69	28	as	as	ADP
afs-63668	69	29	input	input	NOUN
afs-63668	69	30	.	.	PUNCT
afs-63668	70	1	the	the	DET
afs-63668	70	2	sampling	sampling	NOUN
afs-63668	70	3	of	of	ADP
afs-63668	70	4	errors	error	NOUN
afs-63668	70	5	and	and	CCONJ
afs-63668	70	6	the	the	DET
afs-63668	70	7	k	k	ADJ
afs-63668	70	8	-	-	ADJ
afs-63668	70	9	fold	fold	ADJ
afs-63668	70	10	cross	cross	NOUN
afs-63668	70	11	-	-	NOUN
afs-63668	70	12	evaluation	evaluation	NOUN
afs-63668	70	13	were	be	AUX
afs-63668	70	14	repeated	repeat	VERB
afs-63668	70	15	100	100	NUM
afs-63668	70	16	times	time	NOUN
afs-63668	70	17	for	for	ADP
afs-63668	70	18	each	each	DET
afs-63668	70	19	error	error	NOUN
afs-63668	70	20	level	level	NOUN
afs-63668	70	21	.	.	PUNCT
afs-63668	71	1	the	the	DET
afs-63668	71	2	mae	mae	PROPN
afs-63668	71	3	values	value	NOUN
afs-63668	71	4	averaged	average	VERB
afs-63668	71	5	for	for	ADP
afs-63668	71	6	the	the	DET
afs-63668	71	7	100	100	NUM
afs-63668	71	8	simulation	simulation	NOUN
afs-63668	71	9	runs	run	NOUN
afs-63668	71	10	were	be	AUX
afs-63668	71	11	then	then	ADV
afs-63668	71	12	plotted	plot	VERB
afs-63668	71	13	against	against	ADP
afs-63668	71	14	the	the	DET
afs-63668	71	15	standard	standard	ADJ
afs-63668	71	16	deviations	deviation	NOUN
afs-63668	71	17	of	of	ADP
afs-63668	71	18	the	the	DET
afs-63668	71	19	added	add	VERB
afs-63668	71	20	errors	error	NOUN
afs-63668	71	21	.	.	PUNCT
afs-63668	72	1	for	for	ADP
afs-63668	72	2	reference	reference	NOUN
afs-63668	72	3	,	,	PUNCT
afs-63668	72	4	the	the	DET
afs-63668	72	5	range	range	NOUN
afs-63668	72	6	of	of	ADP
afs-63668	72	7	reported	report	VERB
afs-63668	72	8	errors	error	NOUN
afs-63668	72	9	in	in	ADP
afs-63668	72	10	earlier	early	ADJ
afs-63668	72	11	studies	study	NOUN
afs-63668	72	12	was	be	AUX
afs-63668	72	13	added	add	VERB
afs-63668	72	14	to	to	ADP
afs-63668	72	15	the	the	DET
afs-63668	72	16	plot	plot	NOUN
afs-63668	72	17	;	;	PUNCT
afs-63668	72	18	e.g.	e.g.	ADV
afs-63668	72	19	øvergaard	øvergaard	NOUN
afs-63668	72	20	et	et	PROPN
afs-63668	72	21	al	al	PROPN
afs-63668	72	22	.	.	PROPN
afs-63668	73	1	(	(	PUNCT
afs-63668	73	2	2013	2013	NUM
afs-63668	73	3	)	)	PUNCT
afs-63668	73	4	reported	report	VERB
afs-63668	73	5	a	a	DET
afs-63668	73	6	root	root	NOUN
afs-63668	73	7	mean	mean	NOUN
afs-63668	73	8	squared	square	VERB
afs-63668	73	9	error	error	NOUN
afs-63668	73	10	of	of	ADP
afs-63668	73	11	prediction	prediction	NOUN
afs-63668	73	12	(	(	PUNCT
afs-63668	73	13	rmsep	rmsep	NOUN
afs-63668	73	14	)	)	PUNCT
afs-63668	73	15	of	of	ADP
afs-63668	73	16	1560	1560	NUM
afs-63668	73	17	kg	kg	NOUN
afs-63668	73	18	ha-1	ha-1	NUM
afs-63668	73	19	for	for	ADP
afs-63668	73	20	wheat	wheat	NOUN
afs-63668	73	21	yield	yield	NOUN
afs-63668	73	22	predictions	prediction	NOUN
afs-63668	73	23	based	base	VERB
afs-63668	73	24	on	on	ADP
afs-63668	73	25	hyperspectral	hyperspectral	ADJ
afs-63668	73	26	measurements	measurement	NOUN
afs-63668	73	27	in	in	ADP
afs-63668	73	28	field	field	NOUN
afs-63668	73	29	trials	trial	NOUN
afs-63668	73	30	in	in	ADP
afs-63668	73	31	norway	norway	PROPN
afs-63668	73	32	,	,	PUNCT
afs-63668	73	33	while	while	SCONJ
afs-63668	73	34	engström	engström	NOUN
afs-63668	73	35	and	and	CCONJ
afs-63668	73	36	piikki	piikki	PROPN
afs-63668	73	37	(	(	PUNCT
afs-63668	73	38	2016	2016	NUM
afs-63668	73	39	)	)	PUNCT
afs-63668	73	40	reported	report	VERB
afs-63668	73	41	an	an	DET
afs-63668	73	42	mae	mae	PROPN
afs-63668	73	43	of	of	ADP
afs-63668	73	44	1100–1600	1100–1600	NUM
afs-63668	73	45	kg	kg	NOUN
afs-63668	73	46	ha-1	ha-1	NOUN
afs-63668	73	47	for	for	ADP
afs-63668	73	48	predictions	prediction	NOUN
afs-63668	73	49	based	base	VERB
afs-63668	73	50	on	on	ADP
afs-63668	73	51	a	a	DET
afs-63668	73	52	handheld	handheld	ADJ
afs-63668	73	53	hyperspectral	hyperspectral	ADJ
afs-63668	73	54	sensor	sensor	NOUN
afs-63668	73	55	in	in	ADP
afs-63668	73	56	sweden	sweden	PROPN
afs-63668	73	57	.	.	PUNCT
afs-63668	74	1	the	the	DET
afs-63668	74	2	spectral	spectral	ADJ
afs-63668	74	3	measurements	measurement	NOUN
afs-63668	74	4	by	by	ADP
afs-63668	74	5	øvergaard	øvergaard	NOUN
afs-63668	74	6	et	et	PROPN
afs-63668	74	7	al	al	PROPN
afs-63668	74	8	.	.	PROPN
afs-63668	74	9	(	(	PUNCT
afs-63668	74	10	2013	2013	NUM
afs-63668	74	11	)	)	PUNCT
afs-63668	74	12	were	be	AUX
afs-63668	74	13	conducted	conduct	VERB
afs-63668	74	14	during	during	ADP
afs-63668	74	15	anthesis	anthesis	NOUN
afs-63668	74	16	(	(	PUNCT
afs-63668	74	17	growth	growth	NOUN
afs-63668	74	18	stage	stage	NOUN
afs-63668	74	19	[	[	X
afs-63668	74	20	gs	gs	X
afs-63668	74	21	]	]	X
afs-63668	74	22	50–60	50–60	NOUN
afs-63668	74	23	;	;	PUNCT
afs-63668	74	24	zadoks	zadok	NOUN
afs-63668	74	25	et	et	PROPN
afs-63668	74	26	al	al	PROPN
afs-63668	74	27	.	.	PROPN
afs-63668	74	28	1974	1974	NUM
afs-63668	74	29	)	)	PUNCT
afs-63668	74	30	.	.	PUNCT
afs-63668	75	1	that	that	PRON
afs-63668	75	2	is	be	AUX
afs-63668	75	3	somewhat	somewhat	ADV
afs-63668	75	4	later	later	ADV
afs-63668	75	5	than	than	ADP
afs-63668	75	6	normal	normal	ADJ
afs-63668	75	7	for	for	ADP
afs-63668	75	8	supplementary	supplementary	ADJ
afs-63668	75	9	n	n	PRON
afs-63668	75	10	fertilisation	fertilisation	NOUN
afs-63668	75	11	of	of	ADP
afs-63668	75	12	wheat	wheat	NOUN
afs-63668	75	13	in	in	ADP
afs-63668	75	14	sweden	sweden	PROPN
afs-63668	75	15	.	.	PUNCT
afs-63668	76	1	the	the	DET
afs-63668	76	2	measurements	measurement	NOUN
afs-63668	76	3	by	by	ADP
afs-63668	76	4	engström	engström	NOUN
afs-63668	76	5	and	and	CCONJ
afs-63668	76	6	piikki	piikki	PROPN
afs-63668	76	7	(	(	PUNCT
afs-63668	76	8	2016	2016	NUM
afs-63668	76	9	)	)	PUNCT
afs-63668	76	10	were	be	AUX
afs-63668	76	11	carried	carry	VERB
afs-63668	76	12	out	out	ADP
afs-63668	76	13	between	between	ADP
afs-63668	76	14	gs	gs	PROPN
afs-63668	76	15	37	37	NUM
afs-63668	76	16	and	and	CCONJ
afs-63668	76	17	gs	gs	PROPN
afs-63668	76	18	63	63	NUM
afs-63668	76	19	.	.	PUNCT
afs-63668	77	1	in	in	ADP
afs-63668	77	2	swedish	swedish	ADJ
afs-63668	77	3	wheat	wheat	NOUN
afs-63668	77	4	production	production	NOUN
afs-63668	77	5	,	,	PUNCT
afs-63668	77	6	the	the	DET
afs-63668	77	7	last	last	ADJ
afs-63668	77	8	n	n	PRON
afs-63668	77	9	application	application	NOUN
afs-63668	77	10	is	be	AUX
afs-63668	77	11	most	most	ADV
afs-63668	77	12	often	often	ADV
afs-63668	77	13	carried	carry	VERB
afs-63668	77	14	out	out	ADP
afs-63668	77	15	between	between	ADP
afs-63668	77	16	gs	gs	PROPN
afs-63668	77	17	37	37	NUM
afs-63668	77	18	and	and	CCONJ
afs-63668	77	19	gs	gs	PROPN
afs-63668	77	20	45	45	NUM
afs-63668	77	21	,	,	PUNCT
afs-63668	77	22	but	but	CCONJ
afs-63668	77	23	sometimes	sometimes	ADV
afs-63668	77	24	as	as	ADV
afs-63668	77	25	late	late	ADV
afs-63668	77	26	as	as	ADP
afs-63668	77	27	gs	gs	PROPN
afs-63668	77	28	65	65	NUM
afs-63668	77	29	(	(	PUNCT
afs-63668	77	30	mid	mid	NOUN
afs-63668	77	31	-	-	NOUN
afs-63668	77	32	anthesis	anthesis	NOUN
afs-63668	77	33	)	)	PUNCT
afs-63668	77	34	.	.	PUNCT
afs-63668	78	1	in	in	ADP
afs-63668	78	2	barley	barley	NOUN
afs-63668	78	3	,	,	PUNCT
afs-63668	78	4	the	the	DET
afs-63668	78	5	second	second	ADJ
afs-63668	78	6	fertilisation	fertilisation	NOUN
afs-63668	78	7	is	be	AUX
afs-63668	78	8	often	often	ADV
afs-63668	78	9	carried	carry	VERB
afs-63668	78	10	out	out	ADP
afs-63668	78	11	between	between	ADP
afs-63668	78	12	gs	gs	PROPN
afs-63668	78	13	32	32	NUM
afs-63668	78	14	and	and	CCONJ
afs-63668	78	15	gs	gs	INTJ
afs-63668	78	16	37	37	NUM
afs-63668	79	1	and	and	CCONJ
afs-63668	79	2	,	,	PUNCT
afs-63668	79	3	if	if	SCONJ
afs-63668	79	4	the	the	DET
afs-63668	79	5	crop	crop	NOUN
afs-63668	79	6	requirement	requirement	NOUN
afs-63668	79	7	is	be	AUX
afs-63668	79	8	judged	judge	VERB
afs-63668	79	9	to	to	PART
afs-63668	79	10	be	be	AUX
afs-63668	79	11	large	large	ADJ
afs-63668	79	12	,	,	PUNCT
afs-63668	79	13	an	an	DET
afs-63668	79	14	additional	additional	ADJ
afs-63668	79	15	third	third	ADJ
afs-63668	79	16	application	application	NOUN
afs-63668	79	17	is	be	AUX
afs-63668	79	18	made	make	VERB
afs-63668	79	19	during	during	ADP
afs-63668	79	20	gs	gs	PROPN
afs-63668	79	21	37–49	37–49	NUM
afs-63668	79	22	.	.	PUNCT
afs-63668	80	1	parameterisation	parameterisation	NOUN
afs-63668	80	2	of	of	ADP
afs-63668	80	3	final	final	ADJ
afs-63668	80	4	models	model	NOUN
afs-63668	80	5	final	final	ADJ
afs-63668	80	6	models	model	NOUN
afs-63668	80	7	were	be	AUX
afs-63668	80	8	parameterised	parameterise	VERB
afs-63668	80	9	by	by	ADP
afs-63668	80	10	all	all	DET
afs-63668	80	11	trial	trial	NOUN
afs-63668	80	12	data	datum	NOUN
afs-63668	80	13	.	.	PUNCT
afs-63668	81	1	these	these	DET
afs-63668	81	2	models	model	NOUN
afs-63668	81	3	can	can	AUX
afs-63668	81	4	be	be	AUX
afs-63668	81	5	expected	expect	VERB
afs-63668	81	6	to	to	PART
afs-63668	81	7	produce	produce	VERB
afs-63668	81	8	eonr	eonr	ADJ
afs-63668	81	9	predictions	prediction	NOUN
afs-63668	81	10	of	of	ADP
afs-63668	81	11	the	the	DET
afs-63668	81	12	accuracy	accuracy	NOUN
afs-63668	81	13	indicated	indicate	VERB
afs-63668	81	14	by	by	ADP
afs-63668	81	15	the	the	DET
afs-63668	81	16	cross	cross	NOUN
afs-63668	81	17	-	-	NOUN
afs-63668	81	18	evaluation	evaluation	NOUN
afs-63668	81	19	when	when	SCONJ
afs-63668	81	20	applied	apply	VERB
afs-63668	81	21	to	to	ADP
afs-63668	81	22	new	new	ADJ
afs-63668	81	23	sites	site	NOUN
afs-63668	81	24	(	(	PUNCT
afs-63668	81	25	in	in	ADP
afs-63668	81	26	sweden	sweden	PROPN
afs-63668	81	27	)	)	PUNCT
afs-63668	81	28	and	and	CCONJ
afs-63668	81	29	years	year	NOUN
afs-63668	81	30	.	.	PUNCT
afs-63668	82	1	software	software	NOUN
afs-63668	82	2	all	all	DET
afs-63668	82	3	data	datum	NOUN
afs-63668	82	4	analyses	analysis	NOUN
afs-63668	82	5	were	be	AUX
afs-63668	82	6	carried	carry	VERB
afs-63668	82	7	out	out	ADP
afs-63668	82	8	using	use	VERB
afs-63668	82	9	the	the	DET
afs-63668	82	10	statistical	statistical	ADJ
afs-63668	82	11	software	software	NOUN
afs-63668	82	12	r	r	NOUN
afs-63668	82	13	(	(	PUNCT
afs-63668	82	14	r	r	NOUN
afs-63668	82	15	core	core	NOUN
afs-63668	82	16	team	team	NOUN
afs-63668	82	17	2017	2017	NUM
afs-63668	82	18	)	)	PUNCT
afs-63668	82	19	,	,	PUNCT
afs-63668	82	20	the	the	DET
afs-63668	82	21	geographical	geographical	ADJ
afs-63668	82	22	information	information	NOUN
afs-63668	82	23	system	system	NOUN
afs-63668	82	24	(	(	PUNCT
afs-63668	82	25	gis	gis	NOUN
afs-63668	82	26	)	)	PUNCT
afs-63668	82	27	software	software	NOUN
afs-63668	82	28	arcmap	arcmap	NOUN
afs-63668	82	29	10.4	10.4	NUM
afs-63668	82	30	(	(	PUNCT
afs-63668	82	31	esri	esri	PROPN
afs-63668	82	32	inc	inc	PROPN
afs-63668	82	33	.	.	PROPN
afs-63668	82	34	,	,	PUNCT
afs-63668	82	35	redlands	redlands	PROPN
afs-63668	82	36	,	,	PUNCT
afs-63668	82	37	ca	ca	PROPN
afs-63668	82	38	,	,	PUNCT
afs-63668	82	39	usa	usa	PROPN
afs-63668	82	40	)	)	PUNCT
afs-63668	82	41	and	and	CCONJ
afs-63668	82	42	the	the	DET
afs-63668	82	43	spreadsheet	spreadsheet	PROPN
afs-63668	82	44	software	software	PROPN
afs-63668	82	45	excel	excel	VERB
afs-63668	82	46	2013	2013	NUM
afs-63668	82	47	(	(	PUNCT
afs-63668	82	48	microsoft	microsoft	PROPN
afs-63668	82	49	,	,	PUNCT
afs-63668	82	50	redmond	redmond	PROPN
afs-63668	82	51	,	,	PUNCT
afs-63668	82	52	wa	wa	PROPN
afs-63668	82	53	,	,	PUNCT
afs-63668	82	54	usa	usa	PROPN
afs-63668	82	55	)	)	PUNCT
afs-63668	82	56	.	.	PUNCT
afs-63668	83	1	results	result	VERB
afs-63668	83	2	quantifying	quantify	VERB
afs-63668	83	3	variation	variation	NOUN
afs-63668	83	4	the	the	DET
afs-63668	83	5	total	total	ADJ
afs-63668	83	6	range	range	NOUN
afs-63668	83	7	of	of	ADP
afs-63668	83	8	variation	variation	NOUN
afs-63668	83	9	in	in	ADP
afs-63668	83	10	eonr	eonr	PROPN
afs-63668	83	11	in	in	ADP
afs-63668	83	12	the	the	DET
afs-63668	83	13	dataset	dataset	NOUN
afs-63668	83	14	(	(	PUNCT
afs-63668	83	15	both	both	CCONJ
afs-63668	83	16	temporal	temporal	ADJ
afs-63668	83	17	and	and	CCONJ
afs-63668	83	18	spatial	spatial	ADJ
afs-63668	83	19	variation	variation	NOUN
afs-63668	83	20	)	)	PUNCT
afs-63668	83	21	was	be	AUX
afs-63668	83	22	245	245	NUM
afs-63668	83	23	kg	kg	NOUN
afs-63668	83	24	n	n	ADP
afs-63668	83	25	ha-1	ha-1	NOUN
afs-63668	83	26	for	for	ADP
afs-63668	83	27	wheat	wheat	NOUN
afs-63668	83	28	and	and	CCONJ
afs-63668	83	29	112	112	NUM
afs-63668	83	30	kg	kg	NOUN
afs-63668	83	31	n	n	PRON
afs-63668	83	32	ha-1	ha-1	NOUN
afs-63668	83	33	for	for	ADP
afs-63668	83	34	barley	barley	NOUN
afs-63668	83	35	(	(	PUNCT
afs-63668	83	36	table	table	NOUN
afs-63668	83	37	1	1	NUM
afs-63668	83	38	)	)	PUNCT
afs-63668	83	39	.	.	PUNCT
afs-63668	84	1	the	the	DET
afs-63668	84	2	variation	variation	NOUN
afs-63668	84	3	in	in	ADP
afs-63668	84	4	eonr	eonr	NOUN
afs-63668	84	5	between	between	ADP
afs-63668	84	6	locations	location	NOUN
afs-63668	84	7	in	in	ADP
afs-63668	84	8	the	the	DET
afs-63668	84	9	same	same	ADJ
afs-63668	84	10	year	year	NOUN
afs-63668	84	11	and	and	CCONJ
afs-63668	84	12	the	the	DET
afs-63668	84	13	variation	variation	NOUN
afs-63668	84	14	in	in	ADP
afs-63668	84	15	mean	mean	PROPN
afs-63668	84	16	eonr	eonr	ADJ
afs-63668	84	17	between	between	ADP
afs-63668	84	18	years	year	NOUN
afs-63668	84	19	can	can	AUX
afs-63668	84	20	be	be	AUX
afs-63668	84	21	seen	see	VERB
afs-63668	84	22	in	in	ADP
afs-63668	84	23	figure	figure	NOUN
afs-63668	84	24	1	1	NUM
afs-63668	84	25	.	.	PUNCT
afs-63668	85	1	for	for	ADP
afs-63668	85	2	wheat	wheat	NOUN
afs-63668	85	3	,	,	PUNCT
afs-63668	85	4	the	the	DET
afs-63668	85	5	magnitude	magnitude	NOUN
afs-63668	85	6	of	of	ADP
afs-63668	85	7	the	the	DET
afs-63668	85	8	spatial	spatial	ADJ
afs-63668	85	9	variation	variation	NOUN
afs-63668	85	10	seemed	seem	VERB
afs-63668	85	11	somewhat	somewhat	ADV
afs-63668	85	12	larger	large	ADJ
afs-63668	85	13	than	than	ADP
afs-63668	85	14	the	the	DET
afs-63668	85	15	temporal	temporal	ADJ
afs-63668	85	16	variation	variation	NOUN
afs-63668	85	17	,	,	PUNCT
afs-63668	85	18	although	although	SCONJ
afs-63668	85	19	in	in	ADP
afs-63668	85	20	some	some	DET
afs-63668	85	21	years	year	NOUN
afs-63668	85	22	(	(	PUNCT
afs-63668	85	23	1999	1999	NUM
afs-63668	85	24	and	and	CCONJ
afs-63668	85	25	2003	2003	NUM
afs-63668	85	26	)	)	PUNCT
afs-63668	86	1	the	the	DET
afs-63668	86	2	average	average	ADJ
afs-63668	86	3	eonr	eonr	NOUN
afs-63668	86	4	was	be	AUX
afs-63668	86	5	clearly	clearly	ADV
afs-63668	86	6	different	different	ADJ
afs-63668	86	7	from	from	ADP
afs-63668	86	8	in	in	ADP
afs-63668	86	9	other	other	ADJ
afs-63668	86	10	years	year	NOUN
afs-63668	86	11	.	.	PUNCT
afs-63668	87	1	a	a	DET
afs-63668	87	2	similar	similar	ADJ
afs-63668	87	3	trend	trend	NOUN
afs-63668	87	4	was	be	AUX
afs-63668	87	5	not	not	PART
afs-63668	87	6	found	find	VERB
afs-63668	87	7	for	for	ADP
afs-63668	87	8	barley	barley	NOUN
afs-63668	87	9	,	,	PUNCT
afs-63668	87	10	where	where	SCONJ
afs-63668	87	11	eonr	eonr	PROPN
afs-63668	87	12	also	also	ADV
afs-63668	87	13	differed	differ	VERB
afs-63668	87	14	considerably	considerably	ADV
afs-63668	87	15	between	between	ADP
afs-63668	87	16	years	year	NOUN
afs-63668	87	17	.	.	PUNCT
afs-63668	88	1	there	there	PRON
afs-63668	88	2	was	be	VERB
afs-63668	88	3	also	also	ADV
afs-63668	88	4	considerable	considerable	ADJ
afs-63668	88	5	variation	variation	NOUN
afs-63668	88	6	in	in	ADP
afs-63668	88	7	the	the	DET
afs-63668	88	8	yield	yield	NOUN
afs-63668	88	9	with	with	ADP
afs-63668	88	10	no	no	PRON
afs-63668	88	11	n	n	PRON
afs-63668	88	12	fertilisation	fertilisation	NOUN
afs-63668	88	13	(	(	PUNCT
afs-63668	88	14	y0	y0	NOUN
afs-63668	88	15	)	)	PUNCT
afs-63668	88	16	and	and	CCONJ
afs-63668	88	17	in	in	ADP
afs-63668	88	18	the	the	DET
afs-63668	88	19	yield	yield	NOUN
afs-63668	88	20	with	with	ADP
afs-63668	88	21	no	no	DET
afs-63668	88	22	assumed	assumed	ADJ
afs-63668	88	23	n	n	ADP
afs-63668	88	24	limitation	limitation	NOUN
afs-63668	88	25	(	(	PUNCT
afs-63668	88	26	y300	y300	PROPN
afs-63668	88	27	and	and	CCONJ
afs-63668	88	28	y200	y200	PROPN
afs-63668	88	29	)	)	PUNCT
afs-63668	88	30	.	.	PUNCT
afs-63668	89	1	the	the	DET
afs-63668	89	2	total	total	ADJ
afs-63668	89	3	variation	variation	NOUN
afs-63668	89	4	in	in	ADP
afs-63668	89	5	yield	yield	NOUN
afs-63668	89	6	with	with	ADP
afs-63668	89	7	no	no	DET
afs-63668	89	8	fertilisation	fertilisation	NOUN
afs-63668	89	9	was	be	AUX
afs-63668	89	10	4623	4623	NUM
afs-63668	89	11	kg	kg	NOUN
afs-63668	89	12	ha-1	ha-1	X
afs-63668	89	13	(	(	PUNCT
afs-63668	89	14	wheat	wheat	NOUN
afs-63668	89	15	)	)	PUNCT
afs-63668	89	16	and	and	CCONJ
afs-63668	89	17	4248	4248	NUM
afs-63668	89	18	kg	kg	NOUN
afs-63668	89	19	ha-1	ha-1	X
afs-63668	90	1	(	(	PUNCT
afs-63668	90	2	barley	barley	NOUN
afs-63668	90	3	)	)	PUNCT
afs-63668	90	4	,	,	PUNCT
afs-63668	90	5	disregarding	disregard	VERB
afs-63668	90	6	one	one	NUM
afs-63668	90	7	extremely	extremely	ADV
afs-63668	90	8	low	low	ADJ
afs-63668	90	9	yield	yield	NOUN
afs-63668	90	10	observation	observation	NOUN
afs-63668	90	11	of	of	ADP
afs-63668	90	12	401	401	NUM
afs-63668	90	13	kg	kg	NOUN
afs-63668	90	14	ha-1	ha-1	NUM
afs-63668	90	15	,	,	PUNCT
afs-63668	90	16	while	while	SCONJ
afs-63668	90	17	with	with	ADP
afs-63668	90	18	high	high	ADJ
afs-63668	90	19	fertilisation	fertilisation	NOUN
afs-63668	90	20	rates	rate	NOUN
afs-63668	90	21	it	it	PRON
afs-63668	90	22	was	be	AUX
afs-63668	90	23	9840	9840	NUM
afs-63668	90	24	kg	kg	NOUN
afs-63668	90	25	ha-1	ha-1	X
afs-63668	91	1	(	(	PUNCT
afs-63668	91	2	wheat	wheat	NOUN
afs-63668	91	3	)	)	PUNCT
afs-63668	91	4	and	and	CCONJ
afs-63668	91	5	8945	8945	NUM
afs-63668	91	6	kg	kg	NOUN
afs-63668	91	7	ha-1	ha-1	X
afs-63668	92	1	(	(	PUNCT
afs-63668	92	2	barley	barley	NOUN
afs-63668	92	3	)	)	PUNCT
afs-63668	92	4	.	.	PUNCT
afs-63668	93	1	table	table	NOUN
afs-63668	93	2	1	1	NUM
afs-63668	93	3	.	.	PUNCT
afs-63668	93	4	descriptive	descriptive	ADJ
afs-63668	93	5	statistics	statistic	NOUN
afs-63668	93	6	on	on	ADP
afs-63668	93	7	the	the	DET
afs-63668	93	8	economic	economic	ADJ
afs-63668	93	9	optimal	optimal	ADJ
afs-63668	93	10	nitrogen	nitrogen	NOUN
afs-63668	93	11	rate	rate	NOUN
afs-63668	93	12	(	(	PUNCT
afs-63668	93	13	eonr	eonr	PROPN
afs-63668	93	14	)	)	PUNCT
afs-63668	93	15	,	,	PUNCT
afs-63668	93	16	the	the	DET
afs-63668	93	17	yield	yield	NOUN
afs-63668	93	18	at	at	ADP
afs-63668	93	19	0	0	NUM
afs-63668	93	20	kg	kg	PROPN
afs-63668	93	21	n	n	PRON
afs-63668	93	22	ha-1	ha-1	X
afs-63668	93	23	(	(	PUNCT
afs-63668	93	24	y0	y0	NOUN
afs-63668	93	25	)	)	PUNCT
afs-63668	93	26	and	and	CCONJ
afs-63668	93	27	the	the	DET
afs-63668	93	28	yield	yield	NOUN
afs-63668	93	29	at	at	ADP
afs-63668	93	30	300	300	NUM
afs-63668	93	31	kg	kg	NOUN
afs-63668	94	1	n	n	PRON
afs-63668	94	2	ha-1	ha-1	NUM
afs-63668	94	3	(	(	PUNCT
afs-63668	94	4	y300	y300	NUM
afs-63668	94	5	)	)	PUNCT
afs-63668	94	6	(	(	PUNCT
afs-63668	94	7	wheat	wheat	NOUN
afs-63668	94	8	)	)	PUNCT
afs-63668	94	9	and	and	CCONJ
afs-63668	94	10	at	at	ADP
afs-63668	94	11	200	200	NUM
afs-63668	94	12	kg	kg	NOUN
afs-63668	94	13	n	n	PRON
afs-63668	94	14	ha-1	ha-1	NUM
afs-63668	95	1	(	(	PUNCT
afs-63668	95	2	y200	y200	PROPN
afs-63668	95	3	)	)	PUNCT
afs-63668	95	4	(	(	PUNCT
afs-63668	95	5	barley	barley	NOUN
afs-63668	95	6	)	)	PUNCT
afs-63668	95	7	.	.	PUNCT
afs-63668	96	1	n	n	NOUN
afs-63668	96	2	=	=	NOUN
afs-63668	96	3	number	number	NOUN
afs-63668	96	4	of	of	ADP
afs-63668	96	5	trials	trial	NOUN
afs-63668	96	6	,	,	PUNCT
afs-63668	96	7	sd	sd	ADP
afs-63668	96	8	=	=	SYM
afs-63668	96	9	standard	standard	ADJ
afs-63668	96	10	deviation	deviation	NOUN
afs-63668	96	11	crop	crop	NOUN
afs-63668	96	12	variable	variable	NOUN
afs-63668	96	13	n	n	PRON
afs-63668	96	14	min	min	NOUN
afs-63668	96	15	(	(	PUNCT
afs-63668	96	16	kg	kg	NOUN
afs-63668	96	17	ha-1	ha-1	NUM
afs-63668	96	18	)	)	PUNCT
afs-63668	96	19	max	max	PROPN
afs-63668	96	20	(	(	PUNCT
afs-63668	96	21	kg	kg	NOUN
afs-63668	96	22	ha-1	ha-1	NUM
afs-63668	96	23	)	)	PUNCT
afs-63668	97	1	mean	mean	NOUN
afs-63668	97	2	(	(	PUNCT
afs-63668	97	3	kg	kg	NOUN
afs-63668	97	4	ha-1	ha-1	NUM
afs-63668	97	5	)	)	PUNCT
afs-63668	97	6	sd	sd	NOUN
afs-63668	97	7	(	(	PUNCT
afs-63668	97	8	kg	kg	NOUN
afs-63668	97	9	ha-1	ha-1	NUM
afs-63668	97	10	)	)	PUNCT
afs-63668	97	11	wheat	wheat	NOUN
afs-63668	97	12	y0	y0	PROPN
afs-63668	97	13	100	100	NUM
afs-63668	97	14	1867	1867	NUM
afs-63668	97	15	6489	6489	NUM
afs-63668	97	16	3816	3816	NUM
afs-63668	97	17	1147	1147	NUM
afs-63668	98	1	y300	y300	NUM
afs-63668	98	2	100	100	NUM
afs-63668	98	3	2366	2366	NUM
afs-63668	98	4	12286	12286	NUM
afs-63668	98	5	7794	7794	NUM
afs-63668	98	6	1605	1605	NUM
afs-63668	98	7	eonr	eonr	VERB
afs-63668	98	8	100	100	NUM
afs-63668	98	9	40	40	NUM
afs-63668	98	10	285	285	NUM
afs-63668	98	11	165	165	NUM
afs-63668	98	12	37	37	NUM
afs-63668	98	13	barley	barley	NOUN
afs-63668	98	14	y0	y0	PROPN
afs-63668	98	15	47	47	NUM
afs-63668	99	1	902	902	NUM
afs-63668	99	2	6987	6987	NUM
afs-63668	99	3	4005	4005	NUM
afs-63668	99	4	1379	1379	NUM
afs-63668	100	1	y200	y200	PROPN
afs-63668	100	2	47	47	NUM
afs-63668	100	3	401	401	NUM
afs-63668	100	4	10241	10241	NUM
afs-63668	100	5	6251	6251	NUM
afs-63668	100	6	2105	2105	NUM
afs-63668	100	7	eonr	eonr	VERB
afs-63668	100	8	47	47	NUM
afs-63668	100	9	46	46	NUM
afs-63668	100	10	159	159	NUM
afs-63668	100	11	101	101	NUM
afs-63668	100	12	27	27	NUM
afs-63668	100	13	agricultural	agricultural	ADJ
afs-63668	100	14	and	and	CCONJ
afs-63668	100	15	food	food	NOUN
afs-63668	100	16	science	science	PROPN
afs-63668	100	17	k.	k.	PROPN
afs-63668	100	18	piikki	piikki	PROPN
afs-63668	100	19	&	&	CCONJ
afs-63668	100	20	b.	b.	PROPN
afs-63668	100	21	stenberg	stenberg	PROPN
afs-63668	100	22	(	(	PUNCT
afs-63668	100	23	2017	2017	NUM
afs-63668	100	24	)	)	PUNCT
afs-63668	100	25	26	26	NUM
afs-63668	100	26	:	:	PUNCT
afs-63668	101	1	233–241	233–241	NUM
afs-63668	101	2	237	237	NUM
afs-63668	101	3	finding	find	VERB
afs-63668	101	4	the	the	DET
afs-63668	101	5	best	good	ADJ
afs-63668	101	6	predictor(s	predictor(s	NOUN
afs-63668	101	7	)	)	PUNCT
afs-63668	101	8	for	for	ADP
afs-63668	101	9	wheat	wheat	NOUN
afs-63668	101	10	,	,	PUNCT
afs-63668	101	11	models	model	NOUN
afs-63668	101	12	based	base	VERB
afs-63668	101	13	on	on	ADP
afs-63668	101	14	y0	y0	PROPN
afs-63668	101	15	and	and	CCONJ
afs-63668	101	16	y300	y300	PROPN
afs-63668	101	17	resulted	result	VERB
afs-63668	101	18	in	in	ADP
afs-63668	101	19	eonr	eonr	ADJ
afs-63668	101	20	predictions	prediction	NOUN
afs-63668	101	21	with	with	ADP
afs-63668	101	22	the	the	DET
afs-63668	101	23	smallest	small	ADJ
afs-63668	101	24	mae	mae	PROPN
afs-63668	101	25	(	(	PUNCT
afs-63668	101	26	10	10	NUM
afs-63668	101	27	kg	kg	NOUN
afs-63668	101	28	n	n	X
afs-63668	101	29	ha-1	ha-1	NUM
afs-63668	101	30	)	)	PUNCT
afs-63668	101	31	and	and	CCONJ
afs-63668	101	32	the	the	DET
afs-63668	101	33	largest	large	ADJ
afs-63668	101	34	me	i	PRON
afs-63668	101	35	(	(	PUNCT
afs-63668	101	36	0.80	0.80	NUM
afs-63668	101	37	)	)	PUNCT
afs-63668	101	38	(	(	PUNCT
afs-63668	101	39	fig	fig	NOUN
afs-63668	101	40	.	.	PUNCT
afs-63668	101	41	2	2	NUM
afs-63668	101	42	)	)	PUNCT
afs-63668	101	43	.	.	PUNCT
afs-63668	102	1	using	use	VERB
afs-63668	102	2	both	both	DET
afs-63668	102	3	predictors	predictor	NOUN
afs-63668	102	4	was	be	AUX
afs-63668	102	5	a	a	DET
afs-63668	102	6	considerable	considerable	ADJ
afs-63668	102	7	improvement	improvement	NOUN
afs-63668	102	8	over	over	ADP
afs-63668	102	9	using	use	VERB
afs-63668	102	10	only	only	ADV
afs-63668	102	11	one	one	NUM
afs-63668	102	12	of	of	ADP
afs-63668	102	13	the	the	DET
afs-63668	102	14	predictor	predictor	NOUN
afs-63668	102	15	variables	variable	NOUN
afs-63668	102	16	.	.	PUNCT
afs-63668	103	1	for	for	ADP
afs-63668	103	2	barley	barley	NOUN
afs-63668	103	3	too	too	ADV
afs-63668	103	4	,	,	PUNCT
afs-63668	103	5	using	use	VERB
afs-63668	103	6	both	both	DET
afs-63668	103	7	predictors	predictor	NOUN
afs-63668	103	8	(	(	PUNCT
afs-63668	103	9	y0	y0	NOUN
afs-63668	103	10	and	and	CCONJ
afs-63668	103	11	y200	y200	PROPN
afs-63668	103	12	)	)	PUNCT
afs-63668	103	13	was	be	AUX
afs-63668	103	14	superior	superior	ADJ
afs-63668	103	15	to	to	ADP
afs-63668	103	16	using	use	VERB
afs-63668	103	17	either	either	PRON
afs-63668	103	18	of	of	ADP
afs-63668	103	19	the	the	DET
afs-63668	103	20	predictor	predictor	NOUN
afs-63668	103	21	variables	variable	NOUN
afs-63668	103	22	alone	alone	ADV
afs-63668	103	23	(	(	PUNCT
afs-63668	103	24	fig	fig	NOUN
afs-63668	103	25	.	.	PUNCT
afs-63668	104	1	2	2	NUM
afs-63668	104	2	)	)	PUNCT
afs-63668	104	3	.	.	PUNCT
afs-63668	105	1	fig	fig	NOUN
afs-63668	105	2	.	.	PUNCT
afs-63668	106	1	1	1	X
afs-63668	106	2	.	.	X
afs-63668	106	3	spatial	spatial	ADJ
afs-63668	106	4	and	and	CCONJ
afs-63668	106	5	temporal	temporal	ADJ
afs-63668	106	6	variation	variation	NOUN
afs-63668	106	7	in	in	ADP
afs-63668	106	8	yield	yield	NOUN
afs-63668	106	9	in	in	ADP
afs-63668	106	10	(	(	PUNCT
afs-63668	106	11	a	a	DET
afs-63668	106	12	-	-	PUNCT
afs-63668	106	13	b	b	NOUN
afs-63668	106	14	)	)	PUNCT
afs-63668	106	15	trial	trial	NOUN
afs-63668	106	16	plots	plot	NOUN
afs-63668	106	17	without	without	ADP
afs-63668	106	18	fertilisation	fertilisation	NOUN
afs-63668	106	19	(	(	PUNCT
afs-63668	106	20	y0	y0	NOUN
afs-63668	106	21	)	)	PUNCT
afs-63668	106	22	and	and	CCONJ
afs-63668	106	23	(	(	PUNCT
afs-63668	106	24	c	c	X
afs-63668	106	25	-	-	PUNCT
afs-63668	106	26	d	d	NOUN
afs-63668	106	27	)	)	PUNCT
afs-63668	106	28	trial	trial	NOUN
afs-63668	106	29	plots	plot	NOUN
afs-63668	106	30	receiving	receive	VERB
afs-63668	106	31	an	an	DET
afs-63668	106	32	n	n	NOUN
afs-63668	106	33	rate	rate	NOUN
afs-63668	106	34	of	of	ADP
afs-63668	106	35	300	300	NUM
afs-63668	106	36	or	or	CCONJ
afs-63668	106	37	200	200	NUM
afs-63668	106	38	kg	kg	NOUN
afs-63668	106	39	n	n	PRON
afs-63668	106	40	ha-1	ha-1	NUM
afs-63668	106	41	)	)	PUNCT
afs-63668	106	42	.	.	PUNCT
afs-63668	107	1	plots	plot	NOUN
afs-63668	107	2	(	(	PUNCT
afs-63668	107	3	e	e	NOUN
afs-63668	107	4	-	-	NOUN
afs-63668	107	5	f	f	NOUN
afs-63668	107	6	)	)	PUNCT
afs-63668	107	7	show	show	VERB
afs-63668	107	8	the	the	DET
afs-63668	107	9	economic	economic	ADJ
afs-63668	107	10	optimum	optimum	ADJ
afs-63668	107	11	nitrogen	nitrogen	NOUN
afs-63668	107	12	rate	rate	NOUN
afs-63668	107	13	(	(	PUNCT
afs-63668	107	14	eonr	eonr	PROPN
afs-63668	107	15	)	)	PUNCT
afs-63668	107	16	.	.	PUNCT
afs-63668	108	1	each	each	DET
afs-63668	108	2	circle	circle	NOUN
afs-63668	108	3	represents	represent	VERB
afs-63668	108	4	one	one	NUM
afs-63668	108	5	field	field	NOUN
afs-63668	108	6	trial	trial	NOUN
afs-63668	108	7	and	and	CCONJ
afs-63668	108	8	the	the	DET
afs-63668	108	9	solid	solid	ADJ
afs-63668	108	10	lines	line	NOUN
afs-63668	108	11	represent	represent	VERB
afs-63668	108	12	the	the	DET
afs-63668	108	13	time	time	NOUN
afs-63668	108	14	series	series	NOUN
afs-63668	108	15	of	of	ADP
afs-63668	108	16	yearly	yearly	ADJ
afs-63668	108	17	averages	average	NOUN
afs-63668	108	18	.	.	PUNCT
afs-63668	109	1	fig	fig	NOUN
afs-63668	109	2	.	.	PUNCT
afs-63668	110	1	2	2	X
afs-63668	110	2	.	.	NUM
afs-63668	110	3	predicted	predict	VERB
afs-63668	110	4	values	value	NOUN
afs-63668	110	5	of	of	ADP
afs-63668	110	6	economic	economic	ADJ
afs-63668	110	7	optimal	optimal	ADJ
afs-63668	110	8	nitrogen	nitrogen	NOUN
afs-63668	110	9	rate	rate	NOUN
afs-63668	110	10	(	(	PUNCT
afs-63668	110	11	eonr	eonr	PROPN
afs-63668	110	12	)	)	PUNCT
afs-63668	110	13	plotted	plot	VERB
afs-63668	110	14	against	against	ADP
afs-63668	110	15	eonr	eonr	PROPN
afs-63668	110	16	determined	determine	VERB
afs-63668	110	17	in	in	ADP
afs-63668	110	18	field	field	NOUN
afs-63668	110	19	trials	trial	NOUN
afs-63668	110	20	for	for	ADP
afs-63668	110	21	wheat	wheat	NOUN
afs-63668	110	22	(	(	PUNCT
afs-63668	110	23	a	a	DET
afs-63668	110	24	-	-	PUNCT
afs-63668	110	25	c	c	NOUN
afs-63668	110	26	)	)	PUNCT
afs-63668	110	27	and	and	CCONJ
afs-63668	110	28	barley	barley	NOUN
afs-63668	110	29	(	(	PUNCT
afs-63668	110	30	d	d	NOUN
afs-63668	110	31	-	-	PUNCT
afs-63668	110	32	f	f	NOUN
afs-63668	110	33	)	)	PUNCT
afs-63668	110	34	.	.	PUNCT
afs-63668	111	1	the	the	DET
afs-63668	111	2	predictions	prediction	NOUN
afs-63668	111	3	are	be	AUX
afs-63668	111	4	from	from	ADP
afs-63668	111	5	the	the	DET
afs-63668	111	6	k	k	ADJ
afs-63668	111	7	-	-	ADJ
afs-63668	111	8	fold	fold	ADJ
afs-63668	111	9	cross	cross	NOUN
afs-63668	111	10	-	-	NOUN
afs-63668	111	11	evaluation	evaluation	NOUN
afs-63668	111	12	of	of	ADP
afs-63668	111	13	models	model	NOUN
afs-63668	111	14	.	.	PUNCT
afs-63668	112	1	the	the	DET
afs-63668	112	2	models	model	NOUN
afs-63668	112	3	were	be	AUX
afs-63668	112	4	linear	linear	ADJ
afs-63668	112	5	models	model	NOUN
afs-63668	112	6	with	with	ADP
afs-63668	112	7	different	different	ADJ
afs-63668	112	8	predictor	predictor	NOUN
afs-63668	112	9	sets	set	NOUN
afs-63668	112	10	(	(	PUNCT
afs-63668	112	11	given	give	VERB
afs-63668	112	12	in	in	ADP
afs-63668	112	13	brackets	bracket	NOUN
afs-63668	112	14	)	)	PUNCT
afs-63668	112	15	.	.	PUNCT
afs-63668	113	1	the	the	DET
afs-63668	113	2	dashed	dash	VERB
afs-63668	113	3	line	line	NOUN
afs-63668	113	4	is	be	AUX
afs-63668	113	5	the	the	DET
afs-63668	113	6	1:1	1:1	NUM
afs-63668	113	7	line	line	NOUN
afs-63668	113	8	and	and	CCONJ
afs-63668	113	9	the	the	DET
afs-63668	113	10	solid	solid	ADJ
afs-63668	113	11	line	line	NOUN
afs-63668	113	12	shows	show	VERB
afs-63668	113	13	a	a	DET
afs-63668	113	14	linear	linear	ADJ
afs-63668	113	15	regression	regression	NOUN
afs-63668	113	16	model	model	NOUN
afs-63668	113	17	between	between	ADP
afs-63668	113	18	the	the	DET
afs-63668	113	19	predicted	predict	VERB
afs-63668	113	20	eonr	eonr	NOUN
afs-63668	113	21	and	and	CCONJ
afs-63668	113	22	the	the	DET
afs-63668	113	23	eonr	eonr	NOUN
afs-63668	113	24	determined	determine	VERB
afs-63668	113	25	from	from	ADP
afs-63668	113	26	experimental	experimental	ADJ
afs-63668	113	27	data	datum	NOUN
afs-63668	113	28	.	.	PUNCT
afs-63668	114	1	y0	y0	NOUN
afs-63668	114	2	=	=	SYM
afs-63668	114	3	yield	yield	NOUN
afs-63668	114	4	at	at	ADP
afs-63668	114	5	0	0	NUM
afs-63668	114	6	kg	kg	PROPN
afs-63668	114	7	n	n	ADP
afs-63668	114	8	ha-1	ha-1	NUM
afs-63668	114	9	,	,	PUNCT
afs-63668	114	10	y200	y200	PROPN
afs-63668	114	11	=	=	PUNCT
afs-63668	114	12	yield	yield	NOUN
afs-63668	114	13	at	at	ADP
afs-63668	114	14	200	200	NUM
afs-63668	114	15	kg	kg	NOUN
afs-63668	114	16	n	n	PRON
afs-63668	114	17	ha-1	ha-1	NUM
afs-63668	115	1	and	and	CCONJ
afs-63668	115	2	y300	y300	NUM
afs-63668	116	1	=	=	NOUN
afs-63668	116	2	yield	yield	NOUN
afs-63668	116	3	at	at	ADP
afs-63668	116	4	300	300	NUM
afs-63668	116	5	kg	kg	NOUN
afs-63668	116	6	n	n	DET
afs-63668	116	7	ha-1	ha-1	NUM
afs-63668	116	8	.	.	PUNCT
afs-63668	117	1	mae	mae	PROPN
afs-63668	117	2	=	=	NOUN
afs-63668	117	3	mean	mean	VERB
afs-63668	117	4	absolute	absolute	ADJ
afs-63668	117	5	error	error	NOUN
afs-63668	117	6	;	;	PUNCT
afs-63668	117	7	me	i	PRON
afs-63668	117	8	=	=	SYM
afs-63668	117	9	nash	nash	PROPN
afs-63668	117	10	-	-	PUNCT
afs-63668	117	11	sutcliffe	sutcliffe	PROPN
afs-63668	117	12	modelling	model	VERB
afs-63668	117	13	efficiency	efficiency	NOUN
afs-63668	117	14	agricultural	agricultural	ADJ
afs-63668	117	15	and	and	CCONJ
afs-63668	117	16	food	food	NOUN
afs-63668	117	17	science	science	PROPN
afs-63668	117	18	k.	k.	PROPN
afs-63668	117	19	piikki	piikki	PROPN
afs-63668	117	20	&	&	CCONJ
afs-63668	117	21	b.	b.	PROPN
afs-63668	117	22	stenberg	stenberg	PROPN
afs-63668	117	23	(	(	PUNCT
afs-63668	117	24	2017	2017	NUM
afs-63668	117	25	)	)	PUNCT
afs-63668	117	26	26	26	NUM
afs-63668	117	27	:	:	PUNCT
afs-63668	117	28	233–241	233–241	NUM
afs-63668	117	29	238	238	NUM
afs-63668	117	30	slight	slight	ADJ
afs-63668	117	31	under	under	NOUN
afs-63668	117	32	-	-	PUNCT
afs-63668	117	33	prediction	prediction	NOUN
afs-63668	117	34	of	of	ADP
afs-63668	117	35	high	high	ADJ
afs-63668	117	36	values	value	NOUN
afs-63668	117	37	and	and	CCONJ
afs-63668	117	38	over	over	ADP
afs-63668	117	39	-	-	PUNCT
afs-63668	117	40	prediction	prediction	NOUN
afs-63668	117	41	of	of	ADP
afs-63668	117	42	low	low	ADJ
afs-63668	117	43	values	value	NOUN
afs-63668	117	44	was	be	AUX
afs-63668	117	45	observed	observe	VERB
afs-63668	117	46	.	.	PUNCT
afs-63668	118	1	this	this	PRON
afs-63668	118	2	is	be	AUX
afs-63668	118	3	a	a	DET
afs-63668	118	4	very	very	ADV
afs-63668	118	5	common	common	ADJ
afs-63668	118	6	phenomenon	phenomenon	NOUN
afs-63668	118	7	in	in	ADP
afs-63668	118	8	prediction	prediction	NOUN
afs-63668	118	9	modelling	modelling	NOUN
afs-63668	118	10	and	and	CCONJ
afs-63668	118	11	happens	happen	VERB
afs-63668	118	12	when	when	SCONJ
afs-63668	118	13	the	the	DET
afs-63668	118	14	model	model	NOUN
afs-63668	118	15	explains	explain	VERB
afs-63668	118	16	most	most	ADJ
afs-63668	118	17	,	,	PUNCT
afs-63668	118	18	but	but	CCONJ
afs-63668	118	19	not	not	PART
afs-63668	118	20	all	all	PRON
afs-63668	118	21	,	,	PUNCT
afs-63668	118	22	of	of	ADP
afs-63668	118	23	the	the	DET
afs-63668	118	24	variation	variation	NOUN
afs-63668	118	25	in	in	ADP
afs-63668	118	26	the	the	DET
afs-63668	118	27	parameterisation	parameterisation	NOUN
afs-63668	118	28	dataset	dataset	NOUN
afs-63668	118	29	(	(	PUNCT
afs-63668	118	30	some	some	DET
afs-63668	118	31	generalisation	generalisation	NOUN
afs-63668	118	32	is	be	AUX
afs-63668	118	33	made	make	VERB
afs-63668	118	34	)	)	PUNCT
afs-63668	118	35	.	.	PUNCT
afs-63668	119	1	extremes	extreme	NOUN
afs-63668	119	2	are	be	AUX
afs-63668	119	3	then	then	ADV
afs-63668	119	4	predicted	predict	VERB
afs-63668	119	5	as	as	ADP
afs-63668	119	6	less	less	ADV
afs-63668	119	7	extreme	extreme	ADJ
afs-63668	119	8	.	.	PUNCT
afs-63668	120	1	a	a	DET
afs-63668	120	2	model	model	NOUN
afs-63668	120	3	that	that	PRON
afs-63668	120	4	is	be	AUX
afs-63668	120	5	parameterised	parameterise	VERB
afs-63668	120	6	to	to	PART
afs-63668	120	7	capture	capture	VERB
afs-63668	120	8	almost	almost	ADV
afs-63668	120	9	all	all	PRON
afs-63668	120	10	variation	variation	NOUN
afs-63668	120	11	in	in	ADP
afs-63668	120	12	the	the	DET
afs-63668	120	13	training	training	NOUN
afs-63668	120	14	dataset	dataset	NOUN
afs-63668	120	15	(	(	PUNCT
afs-63668	120	16	including	include	VERB
afs-63668	120	17	the	the	DET
afs-63668	120	18	noise	noise	NOUN
afs-63668	120	19	)	)	PUNCT
afs-63668	120	20	is	be	AUX
afs-63668	120	21	likely	likely	ADJ
afs-63668	120	22	to	to	PART
afs-63668	120	23	be	be	AUX
afs-63668	120	24	very	very	ADV
afs-63668	120	25	complex	complex	ADJ
afs-63668	120	26	and	and	CCONJ
afs-63668	120	27	less	less	ADV
afs-63668	120	28	robust	robust	ADJ
afs-63668	120	29	(	(	PUNCT
afs-63668	120	30	less	less	ADV
afs-63668	120	31	accurate	accurate	ADJ
afs-63668	120	32	when	when	SCONJ
afs-63668	120	33	applied	apply	VERB
afs-63668	120	34	to	to	ADP
afs-63668	120	35	new	new	ADJ
afs-63668	120	36	datasets	dataset	NOUN
afs-63668	120	37	)	)	PUNCT
afs-63668	120	38	.	.	PUNCT
afs-63668	121	1	simulated	simulate	VERB
afs-63668	121	2	effects	effect	NOUN
afs-63668	121	3	of	of	ADP
afs-63668	121	4	input	input	NOUN
afs-63668	121	5	data	datum	NOUN
afs-63668	121	6	uncertainty	uncertainty	NOUN
afs-63668	121	7	the	the	DET
afs-63668	121	8	simulated	simulate	VERB
afs-63668	121	9	effects	effect	NOUN
afs-63668	121	10	of	of	ADP
afs-63668	121	11	uncertainty	uncertainty	NOUN
afs-63668	121	12	in	in	ADP
afs-63668	121	13	input	input	NOUN
afs-63668	121	14	data	datum	NOUN
afs-63668	121	15	(	(	PUNCT
afs-63668	121	16	intended	intend	VERB
afs-63668	121	17	to	to	PART
afs-63668	121	18	mimic	mimic	VERB
afs-63668	121	19	the	the	DET
afs-63668	121	20	uncertainty	uncertainty	NOUN
afs-63668	121	21	in	in	ADP
afs-63668	121	22	yield	yield	NOUN
afs-63668	121	23	predictions	prediction	NOUN
afs-63668	121	24	from	from	ADP
afs-63668	121	25	e.g.	e.g.	ADV
afs-63668	121	26	proximal	proximal	ADJ
afs-63668	121	27	sensing	sensing	NOUN
afs-63668	121	28	)	)	PUNCT
afs-63668	121	29	are	be	AUX
afs-63668	121	30	presented	present	VERB
afs-63668	121	31	in	in	ADP
afs-63668	121	32	figure	figure	NOUN
afs-63668	121	33	3	3	NUM
afs-63668	121	34	.	.	PUNCT
afs-63668	122	1	the	the	DET
afs-63668	122	2	prediction	prediction	NOUN
afs-63668	122	3	error	error	NOUN
afs-63668	122	4	increased	increase	VERB
afs-63668	122	5	rapidly	rapidly	ADV
afs-63668	122	6	with	with	ADP
afs-63668	122	7	increased	increase	VERB
afs-63668	122	8	uncertainty	uncertainty	NOUN
afs-63668	122	9	in	in	ADP
afs-63668	122	10	input	input	NOUN
afs-63668	122	11	data	datum	NOUN
afs-63668	122	12	and	and	CCONJ
afs-63668	122	13	the	the	DET
afs-63668	122	14	models	model	NOUN
afs-63668	122	15	with	with	ADP
afs-63668	122	16	two	two	NUM
afs-63668	122	17	predictors	predictor	NOUN
afs-63668	122	18	were	be	AUX
afs-63668	122	19	more	more	ADV
afs-63668	122	20	sensitive	sensitive	ADJ
afs-63668	122	21	than	than	ADP
afs-63668	122	22	those	those	PRON
afs-63668	122	23	with	with	ADP
afs-63668	122	24	one	one	NUM
afs-63668	122	25	predictor	predictor	NOUN
afs-63668	122	26	.	.	PUNCT
afs-63668	123	1	as	as	SCONJ
afs-63668	123	2	can	can	AUX
afs-63668	123	3	be	be	AUX
afs-63668	123	4	inferred	infer	VERB
afs-63668	123	5	from	from	ADP
afs-63668	123	6	figure	figure	NOUN
afs-63668	123	7	3a	3a	NUM
afs-63668	123	8	,	,	PUNCT
afs-63668	123	9	with	with	ADP
afs-63668	123	10	the	the	DET
afs-63668	123	11	uncertainty	uncertainty	NOUN
afs-63668	123	12	of	of	ADP
afs-63668	123	13	yield	yield	NOUN
afs-63668	123	14	predictions	prediction	NOUN
afs-63668	123	15	reported	report	VERB
afs-63668	123	16	in	in	ADP
afs-63668	123	17	the	the	DET
afs-63668	123	18	literature	literature	NOUN
afs-63668	123	19	,	,	PUNCT
afs-63668	123	20	the	the	DET
afs-63668	123	21	mae	mae	PROPN
afs-63668	123	22	of	of	ADP
afs-63668	123	23	eonr	eonr	PROPN
afs-63668	123	24	in	in	ADP
afs-63668	123	25	wheat	wheat	NOUN
afs-63668	123	26	is	be	AUX
afs-63668	123	27	25–35	25–35	NUM
afs-63668	123	28	kg	kg	NOUN
afs-63668	123	29	n	n	ADV
afs-63668	123	30	ha-1	ha-1	NOUN
afs-63668	123	31	when	when	SCONJ
afs-63668	123	32	the	the	DET
afs-63668	123	33	best	good	ADJ
afs-63668	123	34	model	model	NOUN
afs-63668	123	35	(	(	PUNCT
afs-63668	123	36	equation	equation	NOUN
afs-63668	123	37	3	3	NUM
afs-63668	123	38	)	)	PUNCT
afs-63668	123	39	is	be	AUX
afs-63668	123	40	used	use	VERB
afs-63668	123	41	.	.	PUNCT
afs-63668	124	1	models	model	NOUN
afs-63668	124	2	for	for	ADP
afs-63668	124	3	eonr	eonr	ADJ
afs-63668	124	4	prediction	prediction	NOUN
afs-63668	124	5	the	the	DET
afs-63668	124	6	final	final	ADJ
afs-63668	124	7	prediction	prediction	NOUN
afs-63668	124	8	models	model	NOUN
afs-63668	124	9	(	(	PUNCT
afs-63668	124	10	parameterised	parameterise	VERB
afs-63668	124	11	using	use	VERB
afs-63668	124	12	all	all	DET
afs-63668	124	13	trial	trial	NOUN
afs-63668	124	14	data	datum	NOUN
afs-63668	124	15	,	,	PUNCT
afs-63668	124	16	no	no	DET
afs-63668	124	17	trials	trial	NOUN
afs-63668	124	18	withheld	withhold	VERB
afs-63668	124	19	)	)	PUNCT
afs-63668	124	20	for	for	ADP
afs-63668	124	21	eonr	eonr	ADJ
afs-63668	124	22	prediction	prediction	NOUN
afs-63668	124	23	are	be	AUX
afs-63668	124	24	visualised	visualise	VERB
afs-63668	124	25	,	,	PUNCT
afs-63668	124	26	and	and	CCONJ
afs-63668	124	27	their	their	PRON
afs-63668	124	28	equations	equation	NOUN
afs-63668	124	29	are	be	AUX
afs-63668	124	30	given	give	VERB
afs-63668	124	31	,	,	PUNCT
afs-63668	124	32	in	in	ADP
afs-63668	124	33	figure	figure	NOUN
afs-63668	124	34	4	4	NUM
afs-63668	124	35	.	.	PUNCT
afs-63668	124	36	as	as	SCONJ
afs-63668	124	37	expected	expect	VERB
afs-63668	124	38	,	,	PUNCT
afs-63668	124	39	the	the	DET
afs-63668	124	40	eonr	eonr	NOUN
afs-63668	124	41	decreased	decrease	VERB
afs-63668	124	42	with	with	ADP
afs-63668	124	43	increasing	increase	VERB
afs-63668	124	44	y0	y0	PROPN
afs-63668	124	45	and	and	CCONJ
afs-63668	124	46	increased	increase	VERB
afs-63668	124	47	with	with	ADP
afs-63668	124	48	increasing	increase	VERB
afs-63668	124	49	yhigh	yhigh	NOUN
afs-63668	124	50	for	for	ADP
afs-63668	124	51	both	both	DET
afs-63668	124	52	crops	crop	NOUN
afs-63668	124	53	.	.	PUNCT
afs-63668	125	1	the	the	DET
afs-63668	125	2	same	same	ADJ
afs-63668	125	3	colour	colour	NOUN
afs-63668	125	4	scale	scale	NOUN
afs-63668	125	5	is	be	AUX
afs-63668	125	6	used	use	VERB
afs-63668	125	7	for	for	ADP
afs-63668	125	8	each	each	DET
afs-63668	125	9	row	row	NOUN
afs-63668	125	10	of	of	ADP
afs-63668	125	11	plots	plot	NOUN
afs-63668	125	12	and	and	CCONJ
afs-63668	125	13	it	it	PRON
afs-63668	125	14	is	be	AUX
afs-63668	125	15	evident	evident	ADJ
afs-63668	125	16	that	that	SCONJ
afs-63668	125	17	the	the	DET
afs-63668	125	18	models	model	NOUN
afs-63668	125	19	based	base	VERB
afs-63668	125	20	solely	solely	ADV
afs-63668	125	21	on	on	ADP
afs-63668	125	22	y0	y0	PROPN
afs-63668	125	23	do	do	AUX
afs-63668	125	24	not	not	PART
afs-63668	125	25	accurately	accurately	ADV
afs-63668	125	26	capture	capture	VERB
afs-63668	125	27	the	the	DET
afs-63668	125	28	variation	variation	NOUN
afs-63668	125	29	in	in	ADP
afs-63668	125	30	eonr	eonr	PROPN
afs-63668	125	31	.	.	PUNCT
afs-63668	126	1	the	the	DET
afs-63668	126	2	yhigh	yhigh	ADJ
afs-63668	126	3	predictors	predictor	NOUN
afs-63668	126	4	seem	seem	VERB
afs-63668	126	5	to	to	PART
afs-63668	126	6	explain	explain	VERB
afs-63668	126	7	somewhat	somewhat	ADV
afs-63668	126	8	more	more	ADJ
afs-63668	126	9	of	of	ADP
afs-63668	126	10	the	the	DET
afs-63668	126	11	site	site	NOUN
afs-63668	126	12	×	×	PROPN
afs-63668	126	13	year	year	NOUN
afs-63668	126	14	eonr	eonr	ADJ
afs-63668	126	15	variation	variation	NOUN
afs-63668	126	16	than	than	ADP
afs-63668	126	17	the	the	DET
afs-63668	126	18	y0	y0	NOUN
afs-63668	126	19	predictors	predictor	NOUN
afs-63668	126	20	,	,	PUNCT
afs-63668	126	21	but	but	CCONJ
afs-63668	126	22	y0	y0	NOUN
afs-63668	126	23	and	and	CCONJ
afs-63668	126	24	yhigh	yhigh	NOUN
afs-63668	126	25	together	together	ADV
afs-63668	126	26	were	be	AUX
afs-63668	126	27	superior	superior	ADJ
afs-63668	126	28	as	as	ADP
afs-63668	126	29	a	a	DET
afs-63668	126	30	basis	basis	NOUN
afs-63668	126	31	for	for	ADP
afs-63668	126	32	eonr	eonr	ADJ
afs-63668	126	33	prediction	prediction	NOUN
afs-63668	126	34	.	.	PUNCT
afs-63668	127	1	fig	fig	NOUN
afs-63668	127	2	.	.	PUNCT
afs-63668	128	1	3	3	X
afs-63668	128	2	.	.	X
afs-63668	128	3	mean	mean	VERB
afs-63668	128	4	absolute	absolute	ADJ
afs-63668	128	5	error	error	NOUN
afs-63668	128	6	(	(	PUNCT
afs-63668	128	7	mae	mae	PROPN
afs-63668	128	8	)	)	PUNCT
afs-63668	128	9	of	of	ADP
afs-63668	128	10	predictions	prediction	NOUN
afs-63668	128	11	of	of	ADP
afs-63668	128	12	economic	economic	ADJ
afs-63668	128	13	optimal	optimal	ADJ
afs-63668	128	14	nitrogen	nitrogen	NOUN
afs-63668	128	15	rate	rate	NOUN
afs-63668	128	16	(	(	PUNCT
afs-63668	128	17	eonr	eonr	PROPN
afs-63668	128	18	)	)	PUNCT
afs-63668	128	19	in	in	ADP
afs-63668	128	20	relation	relation	NOUN
afs-63668	128	21	to	to	ADP
afs-63668	128	22	the	the	DET
afs-63668	128	23	magnitude	magnitude	NOUN
afs-63668	128	24	of	of	ADP
afs-63668	128	25	random	random	ADJ
afs-63668	128	26	errors	error	NOUN
afs-63668	128	27	added	add	VERB
afs-63668	128	28	to	to	ADP
afs-63668	128	29	the	the	DET
afs-63668	128	30	predictor	predictor	NOUN
afs-63668	128	31	variables	variable	NOUN
afs-63668	128	32	.	.	PUNCT
afs-63668	129	1	the	the	DET
afs-63668	129	2	grey	grey	PROPN
afs-63668	129	3	area	area	NOUN
afs-63668	129	4	in	in	ADP
afs-63668	129	5	diagram	diagram	NOUN
afs-63668	129	6	(	(	PUNCT
afs-63668	129	7	a	a	PRON
afs-63668	129	8	)	)	PUNCT
afs-63668	129	9	indicates	indicate	VERB
afs-63668	129	10	the	the	DET
afs-63668	129	11	range	range	NOUN
afs-63668	129	12	of	of	ADP
afs-63668	129	13	reported	report	VERB
afs-63668	129	14	error	error	NOUN
afs-63668	129	15	levels	level	NOUN
afs-63668	129	16	for	for	ADP
afs-63668	129	17	yield	yield	NOUN
afs-63668	129	18	prediction	prediction	NOUN
afs-63668	129	19	based	base	VERB
afs-63668	129	20	on	on	ADP
afs-63668	129	21	proximal	proximal	ADJ
afs-63668	129	22	sensing	sense	VERB
afs-63668	129	23	(	(	PUNCT
afs-63668	129	24	øvergaard	øvergaard	NOUN
afs-63668	129	25	et	et	PROPN
afs-63668	129	26	al	al	PROPN
afs-63668	129	27	.	.	PROPN
afs-63668	129	28	2013	2013	NUM
afs-63668	129	29	,	,	PUNCT
afs-63668	129	30	engström	engström	NOUN
afs-63668	129	31	and	and	CCONJ
afs-63668	129	32	piikki	piikki	NOUN
afs-63668	129	33	2016	2016	NUM
afs-63668	129	34	)	)	PUNCT
afs-63668	129	35	.	.	PUNCT
afs-63668	130	1	y0	y0	NOUN
afs-63668	130	2	=	=	SYM
afs-63668	130	3	yield	yield	NOUN
afs-63668	130	4	at	at	ADP
afs-63668	130	5	0	0	NUM
afs-63668	130	6	kg	kg	PROPN
afs-63668	130	7	n	n	ADP
afs-63668	130	8	ha-1	ha-1	NUM
afs-63668	130	9	,	,	PUNCT
afs-63668	130	10	y200	y200	PROPN
afs-63668	130	11	=	=	PUNCT
afs-63668	130	12	yield	yield	NOUN
afs-63668	130	13	at	at	ADP
afs-63668	130	14	200	200	NUM
afs-63668	130	15	kg	kg	NOUN
afs-63668	130	16	n	n	ADP
afs-63668	130	17	ha-1	ha-1	NUM
afs-63668	130	18	,	,	PUNCT
afs-63668	130	19	and	and	CCONJ
afs-63668	130	20	y300	y300	NUM
afs-63668	131	1	=	=	NOUN
afs-63668	131	2	yield	yield	NOUN
afs-63668	131	3	at	at	ADP
afs-63668	131	4	300	300	NUM
afs-63668	131	5	kg	kg	NOUN
afs-63668	131	6	n	n	PRON
afs-63668	131	7	ha-1	ha-1	X
afs-63668	131	8	fig	fig	NOUN
afs-63668	131	9	.	.	PUNCT
afs-63668	132	1	4	4	X
afs-63668	132	2	.	.	NOUN
afs-63668	132	3	univariate	univariate	ADJ
afs-63668	132	4	and	and	CCONJ
afs-63668	132	5	bivariate	bivariate	ADJ
afs-63668	132	6	linear	linear	ADJ
afs-63668	132	7	regression	regression	NOUN
afs-63668	132	8	models	model	NOUN
afs-63668	132	9	for	for	ADP
afs-63668	132	10	prediction	prediction	NOUN
afs-63668	132	11	of	of	ADP
afs-63668	132	12	economic	economic	ADJ
afs-63668	132	13	optimal	optimal	ADJ
afs-63668	132	14	nitrogen	nitrogen	NOUN
afs-63668	132	15	rate	rate	NOUN
afs-63668	132	16	(	(	PUNCT
afs-63668	132	17	eonr	eonr	PROPN
afs-63668	132	18	)	)	PUNCT
afs-63668	132	19	.	.	PUNCT
afs-63668	133	1	the	the	DET
afs-63668	133	2	models	model	NOUN
afs-63668	133	3	were	be	AUX
afs-63668	133	4	parameterised	parameterise	VERB
afs-63668	133	5	by	by	ADP
afs-63668	133	6	all	all	DET
afs-63668	133	7	trial	trial	NOUN
afs-63668	133	8	data	datum	NOUN
afs-63668	133	9	(	(	PUNCT
afs-63668	133	10	no	no	DET
afs-63668	133	11	trials	trial	NOUN
afs-63668	133	12	left	leave	VERB
afs-63668	133	13	out	out	ADP
afs-63668	133	14	)	)	PUNCT
afs-63668	133	15	.	.	PUNCT
afs-63668	134	1	the	the	DET
afs-63668	134	2	filled	fill	VERB
afs-63668	134	3	circles	circle	NOUN
afs-63668	134	4	show	show	VERB
afs-63668	134	5	the	the	DET
afs-63668	134	6	eonr	eonr	NOUN
afs-63668	134	7	of	of	ADP
afs-63668	134	8	the	the	DET
afs-63668	134	9	individual	individual	ADJ
afs-63668	134	10	trials	trial	NOUN
afs-63668	134	11	and	and	CCONJ
afs-63668	134	12	the	the	DET
afs-63668	134	13	colour	colour	NOUN
afs-63668	134	14	scale	scale	NOUN
afs-63668	134	15	shows	show	VERB
afs-63668	134	16	the	the	DET
afs-63668	134	17	prediction	prediction	NOUN
afs-63668	134	18	surface	surface	NOUN
afs-63668	134	19	.	.	PUNCT
afs-63668	135	1	the	the	DET
afs-63668	135	2	circle	circle	NOUN
afs-63668	135	3	size	size	NOUN
afs-63668	135	4	and	and	CCONJ
afs-63668	135	5	the	the	DET
afs-63668	135	6	colour	colour	ADJ
afs-63668	135	7	scale	scale	NOUN
afs-63668	135	8	of	of	ADP
afs-63668	135	9	the	the	DET
afs-63668	135	10	surface	surface	NOUN
afs-63668	135	11	are	be	AUX
afs-63668	135	12	the	the	DET
afs-63668	135	13	same	same	ADJ
afs-63668	135	14	within	within	ADP
afs-63668	135	15	each	each	DET
afs-63668	135	16	row	row	NOUN
afs-63668	135	17	of	of	ADP
afs-63668	135	18	plots	plot	NOUN
afs-63668	135	19	but	but	CCONJ
afs-63668	135	20	different	different	ADJ
afs-63668	135	21	between	between	ADP
afs-63668	135	22	the	the	DET
afs-63668	135	23	rows	row	NOUN
afs-63668	135	24	(	(	PUNCT
afs-63668	135	25	i.e.	i.e.	X
afs-63668	135	26	comparable	comparable	ADJ
afs-63668	135	27	between	between	ADP
afs-63668	135	28	predictor	predictor	NOUN
afs-63668	135	29	sets	set	NOUN
afs-63668	135	30	of	of	ADP
afs-63668	135	31	the	the	DET
afs-63668	135	32	same	same	ADJ
afs-63668	135	33	crop	crop	NOUN
afs-63668	135	34	,	,	PUNCT
afs-63668	135	35	but	but	CCONJ
afs-63668	135	36	not	not	PART
afs-63668	135	37	comparable	comparable	ADJ
afs-63668	135	38	between	between	ADP
afs-63668	135	39	crops	crop	NOUN
afs-63668	135	40	)	)	PUNCT
afs-63668	135	41	.	.	PUNCT
afs-63668	136	1	y0	y0	NOUN
afs-63668	136	2	=	=	SYM
afs-63668	136	3	yield	yield	NOUN
afs-63668	136	4	at	at	ADP
afs-63668	136	5	0	0	NUM
afs-63668	136	6	kg	kg	PROPN
afs-63668	136	7	n	n	ADP
afs-63668	136	8	ha-1	ha-1	NUM
afs-63668	136	9	,	,	PUNCT
afs-63668	136	10	y200	y200	PROPN
afs-63668	136	11	=	=	PUNCT
afs-63668	136	12	yield	yield	NOUN
afs-63668	136	13	at	at	ADP
afs-63668	136	14	200	200	NUM
afs-63668	136	15	kg	kg	NOUN
afs-63668	136	16	n	n	PRON
afs-63668	136	17	ha-1	ha-1	NUM
afs-63668	137	1	and	and	CCONJ
afs-63668	137	2	y300	y300	NUM
afs-63668	138	1	=	=	NOUN
afs-63668	138	2	yield	yield	NOUN
afs-63668	138	3	at	at	ADP
afs-63668	138	4	300	300	NUM
afs-63668	138	5	kg	kg	NOUN
afs-63668	138	6	n	n	PRON
afs-63668	138	7	ha-1	ha-1	X
afs-63668	138	8	sd	sd	NOUN
afs-63668	138	9	of	of	ADP
afs-63668	138	10	added	add	VERB
afs-63668	138	11	noise	noise	NOUN
afs-63668	138	12	(	(	PUNCT
afs-63668	138	13	kg	kg	NOUN
afs-63668	138	14	ha-1	ha-1	NUM
afs-63668	138	15	)	)	PUNCT
afs-63668	138	16	sd	sd	NOUN
afs-63668	138	17	of	of	ADP
afs-63668	138	18	added	add	VERB
afs-63668	138	19	noise	noise	NOUN
afs-63668	138	20	(	(	PUNCT
afs-63668	138	21	kg	kg	NOUN
afs-63668	138	22	ha-1	ha-1	NUM
afs-63668	138	23	)	)	PUNCT
afs-63668	138	24	agricultural	agricultural	ADJ
afs-63668	138	25	and	and	CCONJ
afs-63668	138	26	food	food	NOUN
afs-63668	138	27	science	science	PROPN
afs-63668	138	28	k.	k.	PROPN
afs-63668	138	29	piikki	piikki	PROPN
afs-63668	138	30	&	&	CCONJ
afs-63668	138	31	b.	b.	PROPN
afs-63668	138	32	stenberg	stenberg	PROPN
afs-63668	138	33	(	(	PUNCT
afs-63668	138	34	2017	2017	NUM
afs-63668	138	35	)	)	PUNCT
afs-63668	138	36	26	26	NUM
afs-63668	138	37	:	:	PUNCT
afs-63668	138	38	233–241	233–241	NUM
afs-63668	138	39	239	239	NUM
afs-63668	138	40	discussion	discussion	NOUN
afs-63668	138	41	using	use	VERB
afs-63668	138	42	both	both	DET
afs-63668	138	43	predictors	predictor	NOUN
afs-63668	138	44	(	(	PUNCT
afs-63668	138	45	y0	y0	NOUN
afs-63668	138	46	and	and	CCONJ
afs-63668	138	47	yhigh	yhigh	NOUN
afs-63668	138	48	)	)	PUNCT
afs-63668	138	49	proved	prove	VERB
afs-63668	138	50	superior	superior	ADJ
afs-63668	138	51	to	to	ADP
afs-63668	138	52	using	use	VERB
afs-63668	138	53	only	only	ADV
afs-63668	138	54	one	one	NUM
afs-63668	138	55	,	,	PUNCT
afs-63668	138	56	but	but	CCONJ
afs-63668	138	57	the	the	DET
afs-63668	138	58	models	model	NOUN
afs-63668	138	59	based	base	VERB
afs-63668	138	60	on	on	ADP
afs-63668	138	61	two	two	NUM
afs-63668	138	62	yield	yield	NOUN
afs-63668	138	63	variables	variable	NOUN
afs-63668	138	64	were	be	AUX
afs-63668	138	65	more	more	ADV
afs-63668	138	66	sensitive	sensitive	ADJ
afs-63668	138	67	to	to	ADP
afs-63668	138	68	uncertainty	uncertainty	NOUN
afs-63668	138	69	in	in	ADP
afs-63668	138	70	input	input	NOUN
afs-63668	138	71	data	datum	NOUN
afs-63668	138	72	,	,	PUNCT
afs-63668	138	73	such	such	ADJ
afs-63668	138	74	as	as	SCONJ
afs-63668	138	75	can	can	AUX
afs-63668	138	76	be	be	AUX
afs-63668	138	77	expected	expect	VERB
afs-63668	138	78	when	when	SCONJ
afs-63668	138	79	using	use	VERB
afs-63668	138	80	in	in	ADP
afs-63668	138	81	-	-	PUNCT
afs-63668	138	82	season	season	NOUN
afs-63668	138	83	yield	yield	NOUN
afs-63668	138	84	predictions	prediction	NOUN
afs-63668	138	85	instead	instead	ADV
afs-63668	138	86	of	of	ADP
afs-63668	138	87	post	post	ADJ
afs-63668	138	88	-	-	ADJ
afs-63668	138	89	harvest	harvest	ADJ
afs-63668	138	90	yield	yield	NOUN
afs-63668	138	91	determinations	determination	NOUN
afs-63668	138	92	.	.	PUNCT
afs-63668	139	1	for	for	ADP
afs-63668	139	2	wheat	wheat	NOUN
afs-63668	139	3	,	,	PUNCT
afs-63668	139	4	an	an	DET
afs-63668	139	5	error	error	NOUN
afs-63668	139	6	level	level	NOUN
afs-63668	139	7	of	of	ADP
afs-63668	139	8	25–35	25–35	NUM
afs-63668	139	9	kg	kg	NOUN
afs-63668	139	10	n	n	PRON
afs-63668	139	11	ha-1	ha-1	PROPN
afs-63668	139	12	was	be	AUX
afs-63668	139	13	estimated	estimate	VERB
afs-63668	139	14	for	for	ADP
afs-63668	139	15	the	the	DET
afs-63668	139	16	simulated	simulate	VERB
afs-63668	139	17	case	case	NOUN
afs-63668	139	18	of	of	ADP
afs-63668	139	19	bivariate	bivariate	ADJ
afs-63668	139	20	eonr	eonr	ADJ
afs-63668	139	21	modelling	modelling	NOUN
afs-63668	139	22	using	use	VERB
afs-63668	139	23	sensor	sensor	NOUN
afs-63668	139	24	-	-	PUNCT
afs-63668	139	25	based	base	VERB
afs-63668	139	26	yield	yield	NOUN
afs-63668	139	27	predictions	prediction	NOUN
afs-63668	139	28	made	make	VERB
afs-63668	139	29	just	just	ADV
afs-63668	139	30	before	before	ADP
afs-63668	139	31	the	the	DET
afs-63668	139	32	last	last	ADJ
afs-63668	139	33	n	n	PRON
afs-63668	139	34	application	application	NOUN
afs-63668	139	35	as	as	ADP
afs-63668	139	36	input	input	NOUN
afs-63668	139	37	data	datum	NOUN
afs-63668	139	38	.	.	PUNCT
afs-63668	140	1	whether	whether	SCONJ
afs-63668	140	2	this	this	PRON
afs-63668	140	3	is	be	AUX
afs-63668	140	4	an	an	DET
afs-63668	140	5	acceptable	acceptable	ADJ
afs-63668	140	6	error	error	NOUN
afs-63668	140	7	level	level	NOUN
afs-63668	140	8	or	or	CCONJ
afs-63668	140	9	not	not	PART
afs-63668	140	10	depends	depend	VERB
afs-63668	140	11	on	on	ADP
afs-63668	140	12	which	which	PRON
afs-63668	140	13	alternative	alternative	ADJ
afs-63668	140	14	methods	method	NOUN
afs-63668	140	15	and	and	CCONJ
afs-63668	140	16	tools	tool	NOUN
afs-63668	140	17	there	there	PRON
afs-63668	140	18	are	be	VERB
afs-63668	140	19	to	to	PART
afs-63668	140	20	decide	decide	VERB
afs-63668	140	21	on	on	ADP
afs-63668	140	22	an	an	DET
afs-63668	140	23	appropriate	appropriate	ADJ
afs-63668	140	24	n	n	NUM
afs-63668	140	25	rate	rate	NOUN
afs-63668	140	26	.	.	PUNCT
afs-63668	141	1	another	another	DET
afs-63668	141	2	source	source	NOUN
afs-63668	141	3	of	of	ADP
afs-63668	141	4	prediction	prediction	NOUN
afs-63668	141	5	uncertainty	uncertainty	NOUN
afs-63668	141	6	(	(	PUNCT
afs-63668	141	7	relevant	relevant	ADJ
afs-63668	141	8	in	in	ADP
afs-63668	141	9	any	any	DET
afs-63668	141	10	decision	decision	NOUN
afs-63668	141	11	support	support	NOUN
afs-63668	141	12	for	for	ADP
afs-63668	141	13	supplementary	supplementary	ADJ
afs-63668	141	14	n	n	PRON
afs-63668	141	15	rates	rate	NOUN
afs-63668	141	16	that	that	PRON
afs-63668	141	17	takes	take	VERB
afs-63668	141	18	economics	economic	NOUN
afs-63668	141	19	into	into	ADP
afs-63668	141	20	account	account	NOUN
afs-63668	141	21	)	)	PUNCT
afs-63668	141	22	is	be	AUX
afs-63668	141	23	that	that	SCONJ
afs-63668	141	24	it	it	PRON
afs-63668	141	25	might	might	AUX
afs-63668	141	26	be	be	AUX
afs-63668	141	27	difficult	difficult	ADJ
afs-63668	141	28	to	to	PART
afs-63668	141	29	know	know	VERB
afs-63668	141	30	the	the	DET
afs-63668	141	31	price	price	NOUN
afs-63668	141	32	of	of	ADP
afs-63668	141	33	the	the	DET
afs-63668	141	34	produce	produce	NOUN
afs-63668	141	35	at	at	ADP
afs-63668	141	36	the	the	DET
afs-63668	141	37	time	time	NOUN
afs-63668	141	38	of	of	ADP
afs-63668	141	39	fertilisation	fertilisation	NOUN
afs-63668	141	40	,	,	PUNCT
afs-63668	141	41	and	and	CCONJ
afs-63668	141	42	thus	thus	ADV
afs-63668	141	43	the	the	DET
afs-63668	141	44	price	price	NOUN
afs-63668	141	45	ratio	ratio	NOUN
afs-63668	141	46	on	on	ADP
afs-63668	141	47	which	which	PRON
afs-63668	141	48	the	the	DET
afs-63668	141	49	eonr	eonr	NOUN
afs-63668	141	50	depends	depend	VERB
afs-63668	141	51	.	.	PUNCT
afs-63668	142	1	the	the	DET
afs-63668	142	2	spatial	spatial	ADJ
afs-63668	142	3	variation	variation	NOUN
afs-63668	142	4	in	in	ADP
afs-63668	142	5	eonr	eonr	PROPN
afs-63668	142	6	is	be	AUX
afs-63668	142	7	large	large	ADJ
afs-63668	142	8	,	,	PUNCT
afs-63668	142	9	from	from	ADP
afs-63668	142	10	field	field	NOUN
afs-63668	142	11	scale	scale	NOUN
afs-63668	142	12	to	to	ADP
afs-63668	142	13	within	within	ADP
afs-63668	142	14	large	large	ADJ
afs-63668	142	15	regions	region	NOUN
afs-63668	142	16	.	.	PUNCT
afs-63668	143	1	the	the	DET
afs-63668	143	2	soil	soil	NOUN
afs-63668	143	3	n	n	PRON
afs-63668	143	4	supply	supply	NOUN
afs-63668	143	5	by	by	ADP
afs-63668	143	6	mineralisation	mineralisation	NOUN
afs-63668	143	7	depends	depend	VERB
afs-63668	143	8	on	on	ADP
afs-63668	143	9	soil	soil	NOUN
afs-63668	143	10	type	type	NOUN
afs-63668	143	11	(	(	PUNCT
afs-63668	143	12	delin	delin	NOUN
afs-63668	143	13	and	and	CCONJ
afs-63668	143	14	lindén	lindén	VERB
afs-63668	143	15	2002	2002	NUM
afs-63668	143	16	)	)	PUNCT
afs-63668	143	17	,	,	PUNCT
afs-63668	143	18	weather	weather	NOUN
afs-63668	143	19	conditions	condition	NOUN
afs-63668	143	20	and	and	CCONJ
afs-63668	143	21	the	the	DET
afs-63668	143	22	previous	previous	ADJ
afs-63668	143	23	crop	crop	NOUN
afs-63668	143	24	,	,	PUNCT
afs-63668	143	25	and	and	CCONJ
afs-63668	143	26	the	the	DET
afs-63668	143	27	variation	variation	NOUN
afs-63668	143	28	within	within	ADP
afs-63668	143	29	fields	field	NOUN
afs-63668	143	30	can	can	AUX
afs-63668	143	31	be	be	AUX
afs-63668	143	32	>	>	X
afs-63668	143	33	100	100	NUM
afs-63668	143	34	kg	kg	NOUN
afs-63668	144	1	n	n	PRON
afs-63668	144	2	ha-1	ha-1	PROPN
afs-63668	144	3	(	(	PUNCT
afs-63668	144	4	wetterlind	wetterlind	X
afs-63668	144	5	et	et	PROPN
afs-63668	144	6	al	al	PROPN
afs-63668	144	7	.	.	PROPN
afs-63668	144	8	2008	2008	NUM
afs-63668	144	9	)	)	PUNCT
afs-63668	144	10	.	.	PUNCT
afs-63668	145	1	moreover	moreover	ADV
afs-63668	145	2	,	,	PUNCT
afs-63668	145	3	crop	crop	NOUN
afs-63668	145	4	yield	yield	NOUN
afs-63668	145	5	has	have	AUX
afs-63668	145	6	been	be	AUX
afs-63668	145	7	demonstrated	demonstrate	VERB
afs-63668	145	8	to	to	PART
afs-63668	145	9	vary	vary	VERB
afs-63668	145	10	considerably	considerably	ADV
afs-63668	145	11	,	,	PUNCT
afs-63668	145	12	by	by	ADP
afs-63668	145	13	several	several	ADJ
afs-63668	145	14	tonnes	tonne	NOUN
afs-63668	145	15	per	per	ADP
afs-63668	145	16	hectare	hectare	NOUN
afs-63668	145	17	,	,	PUNCT
afs-63668	145	18	within	within	ADP
afs-63668	145	19	fields	field	NOUN
afs-63668	145	20	(	(	PUNCT
afs-63668	145	21	algerbo	algerbo	ADV
afs-63668	145	22	et	et	PROPN
afs-63668	145	23	al	al	PROPN
afs-63668	145	24	.	.	PROPN
afs-63668	145	25	2003	2003	NUM
afs-63668	145	26	,	,	PUNCT
afs-63668	145	27	blackmore	blackmore	NOUN
afs-63668	145	28	2003	2003	NUM
afs-63668	145	29	)	)	PUNCT
afs-63668	145	30	.	.	PUNCT
afs-63668	146	1	it	it	PRON
afs-63668	146	2	is	be	AUX
afs-63668	146	3	evident	evident	ADJ
afs-63668	146	4	from	from	ADP
afs-63668	146	5	the	the	DET
afs-63668	146	6	data	datum	NOUN
afs-63668	146	7	presented	present	VERB
afs-63668	146	8	here	here	ADV
afs-63668	146	9	(	(	PUNCT
afs-63668	146	10	fig	fig	NOUN
afs-63668	146	11	.	.	NOUN
afs-63668	147	1	1	1	NUM
afs-63668	147	2	)	)	PUNCT
afs-63668	148	1	and	and	CCONJ
afs-63668	148	2	data	datum	NOUN
afs-63668	148	3	presented	present	VERB
afs-63668	148	4	by	by	ADP
afs-63668	148	5	stenberg	stenberg	PROPN
afs-63668	148	6	et	et	PROPN
afs-63668	148	7	al	al	PROPN
afs-63668	148	8	.	.	PROPN
afs-63668	148	9	(	(	PUNCT
afs-63668	148	10	2009	2009	NUM
afs-63668	148	11	)	)	PUNCT
afs-63668	148	12	that	that	SCONJ
afs-63668	148	13	the	the	DET
afs-63668	148	14	spatial	spatial	ADJ
afs-63668	148	15	variation	variation	NOUN
afs-63668	148	16	at	at	ADP
afs-63668	148	17	national	national	ADJ
afs-63668	148	18	scale	scale	NOUN
afs-63668	148	19	is	be	AUX
afs-63668	148	20	also	also	ADV
afs-63668	148	21	considerable	considerable	ADJ
afs-63668	148	22	.	.	PUNCT
afs-63668	149	1	in	in	ADP
afs-63668	149	2	sweden	sweden	PROPN
afs-63668	149	3	,	,	PUNCT
afs-63668	149	4	a	a	DET
afs-63668	149	5	number	number	NOUN
afs-63668	149	6	of	of	ADP
afs-63668	149	7	n	n	PRON
afs-63668	149	8	fertilisation	fertilisation	NOUN
afs-63668	149	9	field	field	NOUN
afs-63668	149	10	trials	trial	NOUN
afs-63668	149	11	are	be	AUX
afs-63668	149	12	conducted	conduct	VERB
afs-63668	149	13	across	across	ADP
afs-63668	149	14	the	the	DET
afs-63668	149	15	country	country	NOUN
afs-63668	149	16	each	each	DET
afs-63668	149	17	year	year	NOUN
afs-63668	149	18	to	to	PART
afs-63668	149	19	support	support	VERB
afs-63668	149	20	the	the	DET
afs-63668	149	21	swedish	swedish	PROPN
afs-63668	149	22	board	board	PROPN
afs-63668	149	23	of	of	ADP
afs-63668	149	24	agriculture	agriculture	NOUN
afs-63668	149	25	in	in	ADP
afs-63668	149	26	their	their	PRON
afs-63668	149	27	work	work	NOUN
afs-63668	149	28	of	of	ADP
afs-63668	149	29	deriving	derive	VERB
afs-63668	149	30	recommendations	recommendation	NOUN
afs-63668	149	31	on	on	ADP
afs-63668	149	32	n	n	DET
afs-63668	149	33	rates	rate	NOUN
afs-63668	149	34	to	to	ADP
afs-63668	149	35	cereals	cereal	NOUN
afs-63668	149	36	and	and	CCONJ
afs-63668	149	37	other	other	ADJ
afs-63668	149	38	crops	crop	NOUN
afs-63668	149	39	.	.	PUNCT
afs-63668	150	1	these	these	DET
afs-63668	150	2	experiments	experiment	NOUN
afs-63668	150	3	usually	usually	ADV
afs-63668	150	4	have	have	VERB
afs-63668	150	5	a	a	DET
afs-63668	150	6	randomised	randomised	ADJ
afs-63668	150	7	block	block	NOUN
afs-63668	150	8	design	design	NOUN
afs-63668	150	9	(	(	PUNCT
afs-63668	150	10	with	with	ADP
afs-63668	150	11	4–7	4–7	PROPN
afs-63668	150	12	n	n	PROPN
afs-63668	150	13	levels	level	NOUN
afs-63668	150	14	and	and	CCONJ
afs-63668	150	15	four	four	NUM
afs-63668	150	16	blocks	block	NOUN
afs-63668	150	17	)	)	PUNCT
afs-63668	150	18	.	.	PUNCT
afs-63668	151	1	this	this	PRON
afs-63668	151	2	means	mean	VERB
afs-63668	151	3	that	that	SCONJ
afs-63668	151	4	eonr	eonr	NOUN
afs-63668	151	5	is	be	AUX
afs-63668	151	6	determined	determine	VERB
afs-63668	151	7	with	with	ADP
afs-63668	151	8	high	high	ADJ
afs-63668	151	9	precision	precision	NOUN
afs-63668	151	10	at	at	ADP
afs-63668	151	11	the	the	DET
afs-63668	151	12	relatively	relatively	ADV
afs-63668	151	13	few	few	ADJ
afs-63668	151	14	sites	site	NOUN
afs-63668	151	15	(	(	PUNCT
afs-63668	151	16	~10	~10	X
afs-63668	151	17	per	per	ADP
afs-63668	151	18	year	year	NOUN
afs-63668	151	19	)	)	PUNCT
afs-63668	151	20	where	where	SCONJ
afs-63668	151	21	the	the	DET
afs-63668	151	22	trials	trial	NOUN
afs-63668	151	23	are	be	AUX
afs-63668	151	24	conducted	conduct	VERB
afs-63668	151	25	,	,	PUNCT
afs-63668	151	26	but	but	CCONJ
afs-63668	151	27	these	these	DET
afs-63668	151	28	sites	site	NOUN
afs-63668	151	29	are	be	AUX
afs-63668	151	30	not	not	PART
afs-63668	151	31	necessarily	necessarily	ADV
afs-63668	151	32	a	a	DET
afs-63668	151	33	good	good	ADJ
afs-63668	151	34	representation	representation	NOUN
afs-63668	151	35	of	of	ADP
afs-63668	151	36	a	a	DET
afs-63668	151	37	region	region	NOUN
afs-63668	151	38	for	for	ADP
afs-63668	151	39	which	which	PRON
afs-63668	151	40	recommendations	recommendation	NOUN
afs-63668	151	41	are	be	AUX
afs-63668	151	42	derived	derive	VERB
afs-63668	151	43	.	.	PUNCT
afs-63668	152	1	a	a	DET
afs-63668	152	2	simpler	simple	ADJ
afs-63668	152	3	form	form	NOUN
afs-63668	152	4	of	of	ADP
afs-63668	152	5	trial	trial	NOUN
afs-63668	152	6	for	for	ADP
afs-63668	152	7	eonr	eonr	ADJ
afs-63668	152	8	prediction	prediction	NOUN
afs-63668	152	9	(	(	PUNCT
afs-63668	152	10	such	such	ADJ
afs-63668	152	11	as	as	ADP
afs-63668	152	12	the	the	DET
afs-63668	152	13	modified	modify	VERB
afs-63668	152	14	∆y	∆y	PROPN
afs-63668	152	15	trials	trial	NOUN
afs-63668	152	16	examined	examine	VERB
afs-63668	152	17	in	in	ADP
afs-63668	152	18	the	the	DET
afs-63668	152	19	present	present	ADJ
afs-63668	152	20	study	study	NOUN
afs-63668	152	21	)	)	PUNCT
afs-63668	152	22	could	could	AUX
afs-63668	152	23	be	be	AUX
afs-63668	152	24	a	a	DET
afs-63668	152	25	valuable	valuable	ADJ
afs-63668	152	26	complement	complement	NOUN
afs-63668	152	27	.	.	PUNCT
afs-63668	153	1	what	what	PRON
afs-63668	153	2	is	be	AUX
afs-63668	153	3	lost	lose	VERB
afs-63668	153	4	in	in	ADP
afs-63668	153	5	precision	precision	NOUN
afs-63668	153	6	(	(	PUNCT
afs-63668	153	7	how	how	SCONJ
afs-63668	153	8	well	well	ADV
afs-63668	153	9	eonr	eonr	NOUN
afs-63668	153	10	is	be	AUX
afs-63668	153	11	predicted	predict	VERB
afs-63668	153	12	)	)	PUNCT
afs-63668	153	13	in	in	ADP
afs-63668	153	14	the	the	DET
afs-63668	153	15	simpler	simple	ADJ
afs-63668	153	16	trials	trial	NOUN
afs-63668	153	17	should	should	AUX
afs-63668	153	18	be	be	AUX
afs-63668	153	19	more	more	ADJ
afs-63668	153	20	than	than	SCONJ
afs-63668	153	21	gained	gain	VERB
afs-63668	153	22	in	in	ADP
afs-63668	153	23	better	well	ADJ
afs-63668	153	24	coverage	coverage	NOUN
afs-63668	153	25	of	of	ADP
afs-63668	153	26	the	the	DET
afs-63668	153	27	spatial	spatial	ADJ
afs-63668	153	28	variation	variation	NOUN
afs-63668	153	29	.	.	PUNCT
afs-63668	154	1	if	if	SCONJ
afs-63668	154	2	combined	combine	VERB
afs-63668	154	3	with	with	ADP
afs-63668	154	4	yield	yield	NOUN
afs-63668	154	5	predictions	prediction	NOUN
afs-63668	154	6	,	,	PUNCT
afs-63668	154	7	it	it	PRON
afs-63668	154	8	would	would	AUX
afs-63668	154	9	be	be	AUX
afs-63668	154	10	possible	possible	ADJ
afs-63668	154	11	also	also	ADV
afs-63668	154	12	to	to	PART
afs-63668	154	13	estimate	estimate	VERB
afs-63668	154	14	eonr	eonr	ADJ
afs-63668	154	15	at	at	ADP
afs-63668	154	16	the	the	DET
afs-63668	154	17	time	time	NOUN
afs-63668	154	18	of	of	ADP
afs-63668	154	19	supplementary	supplementary	ADJ
afs-63668	154	20	fertilisation	fertilisation	NOUN
afs-63668	154	21	(	(	PUNCT
afs-63668	154	22	at	at	ADP
afs-63668	154	23	the	the	DET
afs-63668	154	24	cost	cost	NOUN
afs-63668	154	25	of	of	ADP
afs-63668	154	26	some	some	DET
afs-63668	154	27	loss	loss	NOUN
afs-63668	154	28	in	in	ADP
afs-63668	154	29	prediction	prediction	NOUN
afs-63668	154	30	accuracy	accuracy	NOUN
afs-63668	154	31	,	,	PUNCT
afs-63668	154	32	as	as	SCONJ
afs-63668	154	33	discussed	discuss	VERB
afs-63668	154	34	above	above	ADV
afs-63668	154	35	)	)	PUNCT
afs-63668	154	36	.	.	PUNCT
afs-63668	155	1	there	there	PRON
afs-63668	155	2	are	be	VERB
afs-63668	155	3	currently	currently	ADV
afs-63668	155	4	commercial	commercial	ADJ
afs-63668	155	5	companies	company	NOUN
afs-63668	155	6	in	in	ADP
afs-63668	155	7	sweden	sweden	PROPN
afs-63668	155	8	that	that	PRON
afs-63668	155	9	conduct	conduct	VERB
afs-63668	155	10	measurements	measurement	NOUN
afs-63668	155	11	with	with	ADP
afs-63668	155	12	handheld	handheld	ADJ
afs-63668	155	13	hyperspectral	hyperspectral	ADJ
afs-63668	155	14	crop	crop	NOUN
afs-63668	155	15	canopy	canopy	NOUN
afs-63668	155	16	sensors	sensor	NOUN
afs-63668	155	17	in	in	ADP
afs-63668	155	18	y0	y0	NOUN
afs-63668	155	19	plots	plot	NOUN
afs-63668	155	20	in	in	ADP
afs-63668	155	21	farmers	farmer	NOUN
afs-63668	155	22	’	'	PUNCT
afs-63668	155	23	fields	field	NOUN
afs-63668	155	24	.	.	PUNCT
afs-63668	156	1	such	such	DET
afs-63668	156	2	a	a	DET
afs-63668	156	3	service	service	NOUN
afs-63668	156	4	could	could	AUX
afs-63668	156	5	gain	gain	VERB
afs-63668	156	6	from	from	ADP
afs-63668	156	7	adding	add	VERB
afs-63668	156	8	high	high	ADJ
afs-63668	156	9	-	-	PUNCT
afs-63668	156	10	n	n	NOUN
afs-63668	156	11	plots	plot	NOUN
afs-63668	156	12	and	and	CCONJ
afs-63668	156	13	using	use	VERB
afs-63668	156	14	the	the	DET
afs-63668	156	15	modified	modify	VERB
afs-63668	156	16	∆y	∆y	PROPN
afs-63668	156	17	models	model	NOUN
afs-63668	156	18	for	for	ADP
afs-63668	156	19	eonr	eonr	ADJ
afs-63668	156	20	prediction	prediction	NOUN
afs-63668	156	21	.	.	PUNCT
afs-63668	157	1	nitrogen	nitrogen	NOUN
afs-63668	157	2	experiments	experiment	NOUN
afs-63668	157	3	are	be	AUX
afs-63668	157	4	thereby	thereby	ADV
afs-63668	157	5	another	another	DET
afs-63668	157	6	tool	tool	NOUN
afs-63668	157	7	that	that	PRON
afs-63668	157	8	a	a	DET
afs-63668	157	9	farmer	farmer	NOUN
afs-63668	157	10	can	can	AUX
afs-63668	157	11	use	use	VERB
afs-63668	157	12	to	to	PART
afs-63668	157	13	optimise	optimise	VERB
afs-63668	157	14	n	n	DET
afs-63668	157	15	fertilisation	fertilisation	NOUN
afs-63668	157	16	to	to	ADP
afs-63668	157	17	small	small	ADJ
afs-63668	157	18	-	-	PUNCT
afs-63668	157	19	grain	grain	NOUN
afs-63668	157	20	crops	crop	NOUN
afs-63668	157	21	.	.	PUNCT
afs-63668	158	1	as	as	SCONJ
afs-63668	158	2	none	none	NOUN
afs-63668	158	3	of	of	ADP
afs-63668	158	4	the	the	DET
afs-63668	158	5	tools	tool	NOUN
afs-63668	158	6	available	available	ADJ
afs-63668	158	7	is	be	AUX
afs-63668	158	8	perfect	perfect	ADJ
afs-63668	158	9	,	,	PUNCT
afs-63668	158	10	the	the	DET
afs-63668	158	11	best	good	ADJ
afs-63668	158	12	option	option	NOUN
afs-63668	158	13	is	be	AUX
afs-63668	158	14	to	to	PART
afs-63668	158	15	combine	combine	VERB
afs-63668	158	16	them	they	PRON
afs-63668	158	17	,	,	PUNCT
afs-63668	158	18	for	for	ADP
afs-63668	158	19	example	example	NOUN
afs-63668	158	20	by	by	ADP
afs-63668	158	21	splitting	split	VERB
afs-63668	158	22	the	the	DET
afs-63668	158	23	n	n	NUM
afs-63668	158	24	application	application	NOUN
afs-63668	158	25	between	between	ADP
afs-63668	158	26	three	three	NUM
afs-63668	158	27	occasions	occasion	NOUN
afs-63668	158	28	for	for	ADP
afs-63668	158	29	the	the	DET
afs-63668	158	30	best	good	ADJ
afs-63668	158	31	possibility	possibility	NOUN
afs-63668	158	32	to	to	PART
afs-63668	158	33	adjust	adjust	VERB
afs-63668	158	34	it	it	PRON
afs-63668	158	35	to	to	ADP
afs-63668	158	36	the	the	DET
afs-63668	158	37	needs	need	NOUN
afs-63668	158	38	of	of	ADP
afs-63668	158	39	the	the	DET
afs-63668	158	40	current	current	ADJ
afs-63668	158	41	crop	crop	NOUN
afs-63668	158	42	,	,	PUNCT
afs-63668	158	43	using	use	VERB
afs-63668	158	44	absolute	absolute	ADJ
afs-63668	158	45	n	n	NOUN
afs-63668	158	46	rate	rate	NOUN
afs-63668	158	47	decided	decide	VERB
afs-63668	158	48	from	from	ADP
afs-63668	158	49	two	two	NUM
afs-63668	158	50	-	-	PUNCT
afs-63668	158	51	rate	rate	NOUN
afs-63668	158	52	experiments	experiment	NOUN
afs-63668	158	53	in	in	ADP
afs-63668	158	54	which	which	DET
afs-63668	158	55	yield	yield	NOUN
afs-63668	158	56	is	be	AUX
afs-63668	158	57	estimated	estimate	VERB
afs-63668	158	58	with	with	ADP
afs-63668	158	59	a	a	DET
afs-63668	158	60	proximal	proximal	ADJ
afs-63668	158	61	sensor	sensor	NOUN
afs-63668	158	62	and	and	CCONJ
afs-63668	158	63	using	use	VERB
afs-63668	158	64	satellite	satellite	NOUN
afs-63668	158	65	-	-	PUNCT
afs-63668	158	66	based	base	VERB
afs-63668	158	67	vegetation	vegetation	NOUN
afs-63668	158	68	index	index	NOUN
afs-63668	158	69	maps	map	NOUN
afs-63668	158	70	(	(	PUNCT
afs-63668	158	71	söderström	söderström	NOUN
afs-63668	158	72	et	et	PROPN
afs-63668	158	73	al	al	PROPN
afs-63668	158	74	.	.	PROPN
afs-63668	158	75	2017	2017	NUM
afs-63668	158	76	)	)	PUNCT
afs-63668	158	77	to	to	PART
afs-63668	158	78	vary	vary	VERB
afs-63668	158	79	the	the	DET
afs-63668	158	80	n	n	NOUN
afs-63668	158	81	rate	rate	NOUN
afs-63668	158	82	spatially	spatially	ADV
afs-63668	158	83	within	within	ADP
afs-63668	158	84	fields	field	NOUN
afs-63668	158	85	.	.	PUNCT
afs-63668	159	1	the	the	DET
afs-63668	159	2	k	k	ADJ
afs-63668	159	3	-	-	ADJ
afs-63668	159	4	fold	fold	ADJ
afs-63668	159	5	evaluation	evaluation	NOUN
afs-63668	159	6	strategy	strategy	NOUN
afs-63668	159	7	,	,	PUNCT
afs-63668	159	8	where	where	SCONJ
afs-63668	159	9	the	the	DET
afs-63668	159	10	parameterisation	parameterisation	NOUN
afs-63668	159	11	and	and	CCONJ
afs-63668	159	12	the	the	DET
afs-63668	159	13	evaluation	evaluation	NOUN
afs-63668	159	14	data	datum	NOUN
afs-63668	159	15	are	be	AUX
afs-63668	159	16	always	always	ADV
afs-63668	159	17	both	both	PRON
afs-63668	159	18	temporally	temporally	ADV
afs-63668	159	19	and	and	CCONJ
afs-63668	159	20	spatially	spatially	ADV
afs-63668	159	21	independent	independent	ADJ
afs-63668	159	22	of	of	ADP
afs-63668	159	23	each	each	DET
afs-63668	159	24	other	other	ADJ
afs-63668	159	25	,	,	PUNCT
afs-63668	159	26	allowed	allow	VERB
afs-63668	159	27	us	we	PRON
afs-63668	159	28	to	to	PART
afs-63668	159	29	draw	draw	VERB
afs-63668	159	30	conclusions	conclusion	NOUN
afs-63668	159	31	on	on	ADP
afs-63668	159	32	expected	expect	VERB
afs-63668	159	33	accuracy	accuracy	NOUN
afs-63668	159	34	for	for	ADP
afs-63668	159	35	untested	untested	ADJ
afs-63668	159	36	sites	site	NOUN
afs-63668	159	37	and	and	CCONJ
afs-63668	159	38	during	during	ADP
afs-63668	159	39	coming	coming	ADJ
afs-63668	159	40	years	year	NOUN
afs-63668	159	41	.	.	PUNCT
afs-63668	160	1	this	this	PRON
afs-63668	160	2	does	do	AUX
afs-63668	160	3	not	not	PART
afs-63668	160	4	mean	mean	VERB
afs-63668	160	5	that	that	SCONJ
afs-63668	160	6	the	the	DET
afs-63668	160	7	models	model	NOUN
afs-63668	160	8	developed	develop	VERB
afs-63668	160	9	here	here	ADV
afs-63668	160	10	should	should	AUX
afs-63668	160	11	be	be	AUX
afs-63668	160	12	regarded	regard	VERB
afs-63668	160	13	as	as	ADP
afs-63668	160	14	valid	valid	ADJ
afs-63668	160	15	for	for	ADP
afs-63668	160	16	all	all	DET
afs-63668	160	17	times	time	NOUN
afs-63668	160	18	;	;	PUNCT
afs-63668	160	19	rather	rather	ADV
afs-63668	160	20	,	,	PUNCT
afs-63668	160	21	they	they	PRON
afs-63668	160	22	can	can	AUX
afs-63668	160	23	be	be	AUX
afs-63668	160	24	regarded	regard	VERB
afs-63668	160	25	as	as	ADP
afs-63668	160	26	‘	'	PUNCT
afs-63668	160	27	living	living	NOUN
afs-63668	160	28	models	model	NOUN
afs-63668	160	29	’	'	PUNCT
afs-63668	160	30	that	that	PRON
afs-63668	160	31	should	should	AUX
afs-63668	160	32	be	be	AUX
afs-63668	160	33	updated	update	VERB
afs-63668	160	34	yearly	yearly	ADV
afs-63668	160	35	using	use	VERB
afs-63668	160	36	newly	newly	ADV
afs-63668	160	37	performed	perform	VERB
afs-63668	160	38	manyrate	manyrate	ADJ
afs-63668	160	39	n	n	CCONJ
afs-63668	160	40	fertilisation	fertilisation	NOUN
afs-63668	160	41	trials	trial	NOUN
afs-63668	160	42	,	,	PUNCT
afs-63668	160	43	in	in	ADP
afs-63668	160	44	order	order	NOUN
afs-63668	160	45	to	to	PART
afs-63668	160	46	keep	keep	VERB
afs-63668	160	47	them	they	PRON
afs-63668	160	48	up	up	ADP
afs-63668	160	49	-	-	PUNCT
afs-63668	160	50	to	to	ADP
afs-63668	160	51	-	-	PUNCT
afs-63668	160	52	date	date	NOUN
afs-63668	160	53	regarding	regard	VERB
afs-63668	160	54	cultivars	cultivar	NOUN
afs-63668	160	55	and	and	CCONJ
afs-63668	160	56	agricultural	agricultural	ADJ
afs-63668	160	57	practices	practice	NOUN
afs-63668	160	58	.	.	PUNCT
afs-63668	161	1	we	we	PRON
afs-63668	161	2	found	find	VERB
afs-63668	161	3	that	that	SCONJ
afs-63668	161	4	linear	linear	ADJ
afs-63668	161	5	functions	function	NOUN
afs-63668	161	6	explained	explain	VERB
afs-63668	161	7	the	the	DET
afs-63668	161	8	variation	variation	NOUN
afs-63668	161	9	in	in	ADP
afs-63668	161	10	eonr	eonr	ADJ
afs-63668	161	11	well	well	INTJ
afs-63668	161	12	(	(	PUNCT
afs-63668	161	13	the	the	DET
afs-63668	161	14	bivariate	bivariate	ADJ
afs-63668	161	15	case	case	NOUN
afs-63668	161	16	)	)	PUNCT
afs-63668	161	17	,	,	PUNCT
afs-63668	161	18	whereas	whereas	SCONJ
afs-63668	161	19	kachanoski	kachanoski	VERB
afs-63668	161	20	et	et	PROPN
afs-63668	161	21	al	al	PROPN
afs-63668	161	22	.	.	PROPN
afs-63668	162	1	(	(	PUNCT
afs-63668	162	2	1996	1996	NUM
afs-63668	162	3	)	)	PUNCT
afs-63668	162	4	and	and	CCONJ
afs-63668	162	5	nel	nel	PROPN
afs-63668	162	6	and	and	CCONJ
afs-63668	162	7	bloem	bloem	PROPN
afs-63668	162	8	(	(	PUNCT
afs-63668	162	9	2006	2006	NUM
afs-63668	162	10	)	)	PUNCT
afs-63668	162	11	used	use	VERB
afs-63668	162	12	non	non	ADJ
afs-63668	162	13	-	-	ADJ
afs-63668	162	14	linear	linear	ADJ
afs-63668	162	15	∆y	∆y	PROPN
afs-63668	162	16	models	model	NOUN
afs-63668	162	17	.	.	PUNCT
afs-63668	163	1	one	one	NUM
afs-63668	163	2	reason	reason	NOUN
afs-63668	163	3	for	for	ADP
afs-63668	163	4	this	this	DET
afs-63668	163	5	difference	difference	NOUN
afs-63668	163	6	may	may	AUX
afs-63668	163	7	be	be	AUX
afs-63668	163	8	that	that	SCONJ
afs-63668	163	9	we	we	PRON
afs-63668	163	10	used	use	VERB
afs-63668	163	11	yield	yield	NOUN
afs-63668	163	12	at	at	ADP
afs-63668	163	13	a	a	DET
afs-63668	163	14	predetermined	predetermine	VERB
afs-63668	163	15	high	high	ADJ
afs-63668	163	16	n	n	NOUN
afs-63668	163	17	rate	rate	NOUN
afs-63668	163	18	as	as	ADP
afs-63668	163	19	the	the	DET
afs-63668	163	20	high	high	ADJ
afs-63668	163	21	n	n	CCONJ
afs-63668	163	22	rate	rate	NOUN
afs-63668	163	23	predictor	predictor	NOUN
afs-63668	163	24	,	,	PUNCT
afs-63668	163	25	while	while	SCONJ
afs-63668	163	26	the	the	DET
afs-63668	163	27	previous	previous	ADJ
afs-63668	163	28	studies	study	NOUN
afs-63668	163	29	used	use	VERB
afs-63668	163	30	yield	yield	NOUN
afs-63668	163	31	at	at	ADP
afs-63668	163	32	eonr	eonr	PROPN
afs-63668	163	33	.	.	PUNCT
afs-63668	164	1	conclusions	conclusion	NOUN
afs-63668	164	2	we	we	PRON
afs-63668	164	3	developed	develop	VERB
afs-63668	164	4	a	a	DET
afs-63668	164	5	modified	modified	ADJ
afs-63668	164	6	∆y	∆y	NOUN
afs-63668	164	7	modelling	model	VERB
afs-63668	164	8	approach	approach	NOUN
afs-63668	164	9	to	to	PART
afs-63668	164	10	predict	predict	VERB
afs-63668	164	11	eonr	eonr	ADJ
afs-63668	164	12	for	for	ADP
afs-63668	164	13	wheat	wheat	NOUN
afs-63668	164	14	and	and	CCONJ
afs-63668	164	15	barley	barley	NOUN
afs-63668	164	16	based	base	VERB
afs-63668	164	17	on	on	ADP
afs-63668	164	18	two	two	NUM
afs-63668	164	19	-	-	PUNCT
afs-63668	164	20	rate	rate	NOUN
afs-63668	164	21	n	n	NOUN
afs-63668	164	22	trials	trial	NOUN
afs-63668	164	23	.	.	PUNCT
afs-63668	165	1	the	the	DET
afs-63668	165	2	y0	y0	PROPN
afs-63668	165	3	treatment	treatment	NOUN
afs-63668	165	4	(	(	PUNCT
afs-63668	165	5	0	0	NUM
afs-63668	165	6	kg	kg	PROPN
afs-63668	165	7	n	n	NOUN
afs-63668	165	8	ha-1	ha-1	NUM
afs-63668	165	9	)	)	PUNCT
afs-63668	165	10	is	be	AUX
afs-63668	165	11	intended	intend	VERB
afs-63668	165	12	to	to	PART
afs-63668	165	13	give	give	VERB
afs-63668	165	14	an	an	DET
afs-63668	165	15	indication	indication	NOUN
afs-63668	165	16	of	of	ADP
afs-63668	165	17	the	the	DET
afs-63668	165	18	soil	soil	NOUN
afs-63668	165	19	n	n	NOUN
afs-63668	165	20	supply	supply	NOUN
afs-63668	165	21	and	and	CCONJ
afs-63668	165	22	the	the	DET
afs-63668	165	23	yhigh	yhigh	ADJ
afs-63668	165	24	treatment	treatment	NOUN
afs-63668	165	25	(	(	PUNCT
afs-63668	165	26	200	200	NUM
afs-63668	165	27	kg	kg	NOUN
afs-63668	165	28	n	n	X
afs-63668	165	29	a-1	a-1	NOUN
afs-63668	165	30	for	for	ADP
afs-63668	165	31	barley	barley	NOUN
afs-63668	165	32	and	and	CCONJ
afs-63668	165	33	300	300	NUM
afs-63668	165	34	kg	kg	NOUN
afs-63668	165	35	n	n	PRON
afs-63668	165	36	ha-1	ha-1	NOUN
afs-63668	165	37	for	for	ADP
afs-63668	165	38	wheat	wheat	NOUN
afs-63668	165	39	)	)	PUNCT
afs-63668	165	40	is	be	AUX
afs-63668	165	41	used	use	VERB
afs-63668	165	42	as	as	ADP
afs-63668	165	43	a	a	DET
afs-63668	165	44	proxy	proxy	NOUN
afs-63668	165	45	for	for	ADP
afs-63668	165	46	the	the	DET
afs-63668	165	47	yield	yield	NOUN
afs-63668	165	48	potential	potential	NOUN
afs-63668	165	49	.	.	PUNCT
afs-63668	166	1	the	the	DET
afs-63668	166	2	models	model	NOUN
afs-63668	166	3	were	be	AUX
afs-63668	166	4	parameterised	parameterise	VERB
afs-63668	166	5	with	with	ADP
afs-63668	166	6	data	datum	NOUN
afs-63668	166	7	from	from	ADP
afs-63668	166	8	a	a	DET
afs-63668	166	9	total	total	NOUN
afs-63668	166	10	of	of	ADP
afs-63668	166	11	147	147	NUM
afs-63668	166	12	n	n	DET
afs-63668	166	13	fertilisation	fertilisation	NOUN
afs-63668	166	14	trials	trial	NOUN
afs-63668	166	15	conducted	conduct	VERB
afs-63668	166	16	in	in	ADP
afs-63668	166	17	wheat	wheat	NOUN
afs-63668	166	18	and	and	CCONJ
afs-63668	166	19	barley	barley	NOUN
afs-63668	166	20	at	at	ADP
afs-63668	166	21	different	different	ADJ
afs-63668	166	22	locations	location	NOUN
afs-63668	166	23	in	in	ADP
afs-63668	166	24	sweden	sweden	PROPN
afs-63668	166	25	over	over	ADP
afs-63668	166	26	a	a	DET
afs-63668	166	27	period	period	NOUN
afs-63668	166	28	of	of	ADP
afs-63668	166	29	13	13	NUM
afs-63668	166	30	years	year	NOUN
afs-63668	166	31	.	.	PUNCT
afs-63668	167	1	the	the	DET
afs-63668	167	2	model	model	NOUN
afs-63668	167	3	evaluation	evaluation	NOUN
afs-63668	167	4	was	be	AUX
afs-63668	167	5	designed	design	VERB
afs-63668	167	6	to	to	PART
afs-63668	167	7	inform	inform	VERB
afs-63668	167	8	about	about	ADP
afs-63668	167	9	prediction	prediction	NOUN
afs-63668	167	10	accuracy	accuracy	NOUN
afs-63668	167	11	when	when	SCONJ
afs-63668	167	12	the	the	DET
afs-63668	167	13	method	method	NOUN
afs-63668	167	14	is	be	AUX
afs-63668	167	15	applied	apply	VERB
afs-63668	167	16	for	for	ADP
afs-63668	167	17	new	new	ADJ
afs-63668	167	18	sites	site	NOUN
afs-63668	167	19	and	and	CCONJ
afs-63668	167	20	years	year	NOUN
afs-63668	167	21	.	.	PUNCT
afs-63668	168	1	agricultural	agricultural	ADJ
afs-63668	168	2	and	and	CCONJ
afs-63668	168	3	food	food	NOUN
afs-63668	168	4	science	science	PROPN
afs-63668	168	5	k.	k.	PROPN
afs-63668	168	6	piikki	piikki	PROPN
afs-63668	168	7	&	&	CCONJ
afs-63668	168	8	b.	b.	PROPN
afs-63668	168	9	stenberg	stenberg	PROPN
afs-63668	168	10	(	(	PUNCT
afs-63668	168	11	2017	2017	NUM
afs-63668	168	12	)	)	PUNCT
afs-63668	168	13	26	26	NUM
afs-63668	168	14	:	:	PUNCT
afs-63668	169	1	233–241	233–241	NUM
afs-63668	169	2	240	240	NUM
afs-63668	169	3	we	we	PRON
afs-63668	169	4	observed	observe	VERB
afs-63668	169	5	considerable	considerable	ADJ
afs-63668	169	6	variation	variation	NOUN
afs-63668	169	7	in	in	ADP
afs-63668	169	8	eonr	eonr	NOUN
afs-63668	169	9	between	between	ADP
afs-63668	169	10	sites	site	NOUN
afs-63668	169	11	and	and	CCONJ
afs-63668	169	12	years	year	NOUN
afs-63668	169	13	;	;	PUNCT
afs-63668	169	14	the	the	DET
afs-63668	169	15	eonr	eonr	NOUN
afs-63668	169	16	for	for	ADP
afs-63668	169	17	wheat	wheat	NOUN
afs-63668	169	18	differed	differ	VERB
afs-63668	169	19	by	by	ADP
afs-63668	169	20	up	up	ADP
afs-63668	169	21	to	to	PART
afs-63668	169	22	245	245	NUM
afs-63668	169	23	kg	kg	NOUN
afs-63668	169	24	n	n	DET
afs-63668	169	25	ha-1	ha-1	NOUN
afs-63668	169	26	and	and	CCONJ
afs-63668	169	27	that	that	SCONJ
afs-63668	169	28	for	for	ADP
afs-63668	169	29	barley	barley	NOUN
afs-63668	169	30	by	by	ADP
afs-63668	169	31	up	up	ADP
afs-63668	169	32	to	to	PART
afs-63668	169	33	112	112	NUM
afs-63668	169	34	kg	kg	NOUN
afs-63668	169	35	ha-1	ha-1	X
afs-63668	169	36	between	between	ADP
afs-63668	169	37	individual	individual	ADJ
afs-63668	169	38	experiments	experiment	NOUN
afs-63668	169	39	.	.	PUNCT
afs-63668	170	1	the	the	DET
afs-63668	170	2	great	great	ADJ
afs-63668	170	3	variation	variation	NOUN
afs-63668	170	4	means	mean	VERB
afs-63668	170	5	that	that	SCONJ
afs-63668	170	6	recommendations	recommendation	NOUN
afs-63668	170	7	for	for	ADP
afs-63668	170	8	n	n	DET
afs-63668	170	9	fertilisation	fertilisation	NOUN
afs-63668	170	10	based	base	VERB
afs-63668	170	11	on	on	ADP
afs-63668	170	12	average	average	ADJ
afs-63668	170	13	values	value	NOUN
afs-63668	170	14	can	can	AUX
afs-63668	170	15	be	be	AUX
afs-63668	170	16	rather	rather	ADV
afs-63668	170	17	erroneous	erroneous	ADJ
afs-63668	170	18	for	for	ADP
afs-63668	170	19	a	a	DET
afs-63668	170	20	certain	certain	ADJ
afs-63668	170	21	site	site	NOUN
afs-63668	170	22	(	(	PUNCT
afs-63668	170	23	farm	farm	NOUN
afs-63668	170	24	/	/	SYM
afs-63668	170	25	field/	field/	NUM
afs-63668	170	26	management	management	NOUN
afs-63668	170	27	zone	zone	NOUN
afs-63668	170	28	/	/	SYM
afs-63668	170	29	point	point	NOUN
afs-63668	170	30	location	location	NOUN
afs-63668	170	31	)	)	PUNCT
afs-63668	170	32	and	and	CCONJ
afs-63668	170	33	year	year	NOUN
afs-63668	170	34	.	.	PUNCT
afs-63668	171	1	it	it	PRON
afs-63668	171	2	also	also	ADV
afs-63668	171	3	means	mean	VERB
afs-63668	171	4	that	that	SCONJ
afs-63668	171	5	trials	trial	NOUN
afs-63668	171	6	at	at	ADP
afs-63668	171	7	only	only	ADV
afs-63668	171	8	a	a	DET
afs-63668	171	9	few	few	ADJ
afs-63668	171	10	sites	site	NOUN
afs-63668	171	11	to	to	PART
afs-63668	171	12	support	support	VERB
afs-63668	171	13	national	national	ADJ
afs-63668	171	14	advisory	advisory	ADJ
afs-63668	171	15	services	service	NOUN
afs-63668	171	16	would	would	AUX
afs-63668	171	17	be	be	AUX
afs-63668	171	18	very	very	ADV
afs-63668	171	19	sensitive	sensitive	ADJ
afs-63668	171	20	to	to	ADP
afs-63668	171	21	where	where	SCONJ
afs-63668	171	22	the	the	DET
afs-63668	171	23	trials	trial	NOUN
afs-63668	171	24	are	be	AUX
afs-63668	171	25	located	locate	VERB
afs-63668	171	26	.	.	PUNCT
afs-63668	172	1	the	the	DET
afs-63668	172	2	method	method	NOUN
afs-63668	172	3	presented	present	VERB
afs-63668	172	4	here	here	ADV
afs-63668	172	5	–	–	PUNCT
afs-63668	172	6	of	of	ADP
afs-63668	172	7	performing	perform	VERB
afs-63668	172	8	simple	simple	ADJ
afs-63668	172	9	field	field	NOUN
afs-63668	172	10	trials	trial	NOUN
afs-63668	172	11	with	with	ADP
afs-63668	172	12	only	only	ADV
afs-63668	172	13	two	two	NUM
afs-63668	172	14	n	n	PROPN
afs-63668	172	15	levels	level	NOUN
afs-63668	172	16	–	–	PUNCT
afs-63668	172	17	could	could	AUX
afs-63668	172	18	be	be	AUX
afs-63668	172	19	a	a	DET
afs-63668	172	20	valuable	valuable	ADJ
afs-63668	172	21	complement	complement	NOUN
afs-63668	172	22	to	to	ADP
afs-63668	172	23	the	the	DET
afs-63668	172	24	many	many	ADJ
afs-63668	172	25	-	-	PUNCT
afs-63668	172	26	rate	rate	NOUN
afs-63668	172	27	n	n	CCONJ
afs-63668	172	28	fertilisation	fertilisation	NOUN
afs-63668	172	29	trials	trial	NOUN
afs-63668	172	30	currently	currently	ADV
afs-63668	172	31	conducted	conduct	VERB
afs-63668	172	32	,	,	PUNCT
afs-63668	172	33	in	in	ADP
afs-63668	172	34	order	order	NOUN
afs-63668	172	35	to	to	PART
afs-63668	172	36	better	well	ADV
afs-63668	172	37	cover	cover	VERB
afs-63668	172	38	the	the	DET
afs-63668	172	39	spatial	spatial	ADJ
afs-63668	172	40	variation	variation	NOUN
afs-63668	172	41	across	across	ADP
afs-63668	172	42	the	the	DET
afs-63668	172	43	country	country	NOUN
afs-63668	172	44	in	in	ADP
afs-63668	172	45	crop	crop	NOUN
afs-63668	172	46	n	n	CCONJ
afs-63668	172	47	response	response	NOUN
afs-63668	172	48	and	and	CCONJ
afs-63668	172	49	to	to	PART
afs-63668	172	50	provide	provide	VERB
afs-63668	172	51	better	well	ADJ
afs-63668	172	52	advice	advice	NOUN
afs-63668	172	53	for	for	ADP
afs-63668	172	54	farmers	farmer	NOUN
afs-63668	172	55	based	base	VERB
afs-63668	172	56	on	on	ADP
afs-63668	172	57	local	local	ADJ
afs-63668	172	58	conditions	condition	NOUN
afs-63668	172	59	.	.	PUNCT
afs-63668	173	1	provided	provide	VERB
afs-63668	173	2	that	that	DET
afs-63668	173	3	accurate	accurate	ADJ
afs-63668	173	4	input	input	NOUN
afs-63668	173	5	data	datum	NOUN
afs-63668	173	6	are	be	AUX
afs-63668	173	7	available	available	ADJ
afs-63668	173	8	,	,	PUNCT
afs-63668	173	9	eonr	eonr	PROPN
afs-63668	173	10	could	could	AUX
afs-63668	173	11	be	be	AUX
afs-63668	173	12	predicted	predict	VERB
afs-63668	173	13	with	with	ADP
afs-63668	173	14	mae	mae	PROPN
afs-63668	173	15	of	of	ADP
afs-63668	173	16	10	10	NUM
afs-63668	173	17	kg	kg	NOUN
afs-63668	173	18	n	n	DET
afs-63668	173	19	ha-1	ha-1	NOUN
afs-63668	173	20	for	for	ADP
afs-63668	173	21	wheat	wheat	NOUN
afs-63668	173	22	and	and	CCONJ
afs-63668	173	23	9	9	NUM
afs-63668	173	24	kg	kg	NOUN
afs-63668	173	25	n	n	DET
afs-63668	173	26	ha-1	ha-1	NOUN
afs-63668	173	27	for	for	ADP
afs-63668	173	28	barley	barley	NOUN
afs-63668	173	29	,	,	PUNCT
afs-63668	173	30	using	use	VERB
afs-63668	173	31	a	a	DET
afs-63668	173	32	bivariate	bivariate	ADJ
afs-63668	173	33	linear	linear	PROPN
afs-63668	173	34	model	model	NOUN
afs-63668	173	35	.	.	PUNCT
afs-63668	174	1	the	the	DET
afs-63668	174	2	prediction	prediction	NOUN
afs-63668	174	3	error	error	NOUN
afs-63668	174	4	increases	increase	VERB
afs-63668	174	5	with	with	ADP
afs-63668	174	6	increasing	increase	VERB
afs-63668	174	7	uncertainty	uncertainty	NOUN
afs-63668	174	8	level	level	NOUN
afs-63668	174	9	in	in	ADP
afs-63668	174	10	the	the	DET
afs-63668	174	11	input	input	NOUN
afs-63668	174	12	yield	yield	NOUN
afs-63668	174	13	data	datum	NOUN
afs-63668	174	14	.	.	PUNCT
afs-63668	175	1	the	the	DET
afs-63668	175	2	models	model	NOUN
afs-63668	175	3	presented	present	VERB
afs-63668	175	4	here	here	ADV
afs-63668	175	5	can	can	AUX
afs-63668	175	6	be	be	AUX
afs-63668	175	7	used	use	VERB
afs-63668	175	8	to	to	PART
afs-63668	175	9	extend	extend	VERB
afs-63668	175	10	the	the	DET
afs-63668	175	11	current	current	ADJ
afs-63668	175	12	plan	plan	NOUN
afs-63668	175	13	for	for	ADP
afs-63668	175	14	field	field	NOUN
afs-63668	175	15	trials	trial	NOUN
afs-63668	175	16	to	to	PART
afs-63668	175	17	achieve	achieve	VERB
afs-63668	175	18	better	well	ADJ
afs-63668	175	19	geographical	geographical	ADJ
afs-63668	175	20	coverage	coverage	NOUN
afs-63668	175	21	.	.	PUNCT
afs-63668	176	1	eonr	eonr	ADJ
afs-63668	176	2	predictions	prediction	NOUN
afs-63668	176	3	can	can	AUX
afs-63668	176	4	also	also	ADV
afs-63668	176	5	be	be	AUX
afs-63668	176	6	made	make	VERB
afs-63668	176	7	at	at	ADP
afs-63668	176	8	the	the	DET
afs-63668	176	9	time	time	NOUN
afs-63668	176	10	of	of	ADP
afs-63668	176	11	fertilisation	fertilisation	NOUN
afs-63668	176	12	,	,	PUNCT
afs-63668	176	13	but	but	CCONJ
afs-63668	176	14	depend	depend	VERB
afs-63668	176	15	on	on	ADP
afs-63668	176	16	estimation	estimation	NOUN
afs-63668	176	17	of	of	ADP
afs-63668	176	18	yield	yield	NOUN
afs-63668	176	19	(	(	PUNCT
afs-63668	176	20	e.g.	e.g.	ADV
afs-63668	176	21	by	by	ADP
afs-63668	176	22	use	use	NOUN
afs-63668	176	23	of	of	ADP
afs-63668	176	24	proximal	proximal	ADJ
afs-63668	176	25	optical	optical	ADJ
afs-63668	176	26	crop	crop	NOUN
afs-63668	176	27	canopy	canopy	NOUN
afs-63668	176	28	sensors	sensor	NOUN
afs-63668	176	29	)	)	PUNCT
afs-63668	176	30	.	.	PUNCT
afs-63668	177	1	a	a	DET
afs-63668	177	2	drawback	drawback	NOUN
afs-63668	177	3	of	of	ADP
afs-63668	177	4	the	the	DET
afs-63668	177	5	method	method	NOUN
afs-63668	177	6	,	,	PUNCT
afs-63668	177	7	as	as	ADP
afs-63668	177	8	with	with	ADP
afs-63668	177	9	all	all	DET
afs-63668	177	10	n	n	PRON
afs-63668	177	11	fertilisation	fertilisation	NOUN
afs-63668	177	12	trials	trial	NOUN
afs-63668	177	13	,	,	PUNCT
afs-63668	177	14	is	be	AUX
afs-63668	177	15	that	that	SCONJ
afs-63668	177	16	eonr	eonr	ADJ
afs-63668	177	17	determination	determination	NOUN
afs-63668	177	18	is	be	AUX
afs-63668	177	19	based	base	VERB
afs-63668	177	20	on	on	ADP
afs-63668	177	21	grain	grain	NOUN
afs-63668	177	22	yield	yield	NOUN
afs-63668	177	23	and	and	CCONJ
afs-63668	177	24	the	the	DET
afs-63668	177	25	yield	yield	NOUN
afs-63668	177	26	is	be	AUX
afs-63668	177	27	not	not	PART
afs-63668	177	28	known	know	VERB
afs-63668	177	29	until	until	ADP
afs-63668	177	30	harvest	harvest	NOUN
afs-63668	177	31	.	.	PUNCT
afs-63668	178	1	in	in	ADP
afs-63668	178	2	order	order	NOUN
afs-63668	178	3	to	to	PART
afs-63668	178	4	minimise	minimise	VERB
afs-63668	178	5	the	the	DET
afs-63668	178	6	environmental	environmental	ADJ
afs-63668	178	7	risk	risk	NOUN
afs-63668	178	8	of	of	ADP
afs-63668	178	9	nitrate	nitrate	NOUN
afs-63668	178	10	leaching	leaching	NOUN
afs-63668	178	11	and	and	CCONJ
afs-63668	178	12	to	to	PART
afs-63668	178	13	improve	improve	VERB
afs-63668	178	14	the	the	DET
afs-63668	178	15	profitability	profitability	NOUN
afs-63668	178	16	in	in	ADP
afs-63668	178	17	crop	crop	NOUN
afs-63668	178	18	production	production	NOUN
afs-63668	178	19	,	,	PUNCT
afs-63668	178	20	it	it	PRON
afs-63668	178	21	is	be	AUX
afs-63668	178	22	necessary	necessary	ADJ
afs-63668	178	23	to	to	PART
afs-63668	178	24	adjust	adjust	VERB
afs-63668	178	25	the	the	DET
afs-63668	178	26	n	n	CCONJ
afs-63668	178	27	fertilisation	fertilisation	NOUN
afs-63668	178	28	rate	rate	NOUN
afs-63668	178	29	to	to	ADP
afs-63668	178	30	both	both	CCONJ
afs-63668	178	31	local	local	ADJ
afs-63668	178	32	and	and	CCONJ
afs-63668	178	33	current	current	ADJ
afs-63668	178	34	conditions	condition	NOUN
afs-63668	178	35	.	.	PUNCT
afs-63668	179	1	this	this	PRON
afs-63668	179	2	requires	require	VERB
afs-63668	179	3	the	the	DET
afs-63668	179	4	development	development	NOUN
afs-63668	179	5	of	of	ADP
afs-63668	179	6	accurate	accurate	ADJ
afs-63668	179	7	yield	yield	NOUN
afs-63668	179	8	prediction	prediction	NOUN
afs-63668	179	9	methods	method	NOUN
afs-63668	179	10	.	.	PUNCT
afs-63668	180	1	acknowledgements	acknowledgement	NOUN
afs-63668	180	2	the	the	DET
afs-63668	180	3	study	study	NOUN
afs-63668	180	4	was	be	AUX
afs-63668	180	5	funded	fund	VERB
afs-63668	180	6	by	by	ADP
afs-63668	180	7	the	the	DET
afs-63668	180	8	swedish	swedish	PROPN
afs-63668	180	9	board	board	PROPN
afs-63668	180	10	of	of	ADP
afs-63668	180	11	agriculture	agriculture	PROPN
afs-63668	180	12	(	(	PUNCT
afs-63668	180	13	contract	contract	NOUN
afs-63668	180	14	:	:	PUNCT
afs-63668	180	15	25	25	NUM
afs-63668	180	16	-	-	SYM
afs-63668	180	17	10362/12	10362/12	NUM
afs-63668	180	18	)	)	PUNCT
afs-63668	180	19	.	.	PUNCT
afs-63668	181	1	thanks	thank	NOUN
afs-63668	181	2	are	be	AUX
afs-63668	181	3	due	due	ADJ
afs-63668	181	4	to	to	ADP
afs-63668	181	5	laima	laima	PROPN
afs-63668	181	6	rosén	rosén	NOUN
afs-63668	181	7	and	and	CCONJ
afs-63668	181	8	torbjörn	torbjörn	ADJ
afs-63668	181	9	leuchovius	leuchovius	NOUN
afs-63668	181	10	at	at	ADP
afs-63668	181	11	the	the	DET
afs-63668	181	12	swedish	swedish	PROPN
afs-63668	181	13	university	university	PROPN
afs-63668	181	14	of	of	ADP
afs-63668	181	15	agricultural	agricultural	ADJ
afs-63668	181	16	sciences	sciences	PROPN
afs-63668	181	17	,	,	PUNCT
afs-63668	181	18	slu	slu	NOUN
afs-63668	181	19	,	,	PUNCT
afs-63668	181	20	for	for	ADP
afs-63668	181	21	help	help	NOUN
afs-63668	181	22	with	with	ADP
afs-63668	181	23	extracting	extract	VERB
afs-63668	181	24	data	datum	NOUN
afs-63668	181	25	from	from	ADP
afs-63668	181	26	the	the	DET
afs-63668	181	27	field	field	NOUN
afs-63668	181	28	trial	trial	NOUN
afs-63668	181	29	database	database	NOUN
afs-63668	181	30	.	.	PUNCT
afs-63668	182	1	references	reference	NOUN
afs-63668	182	2	albertsson	albertsson	NOUN
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afs-63668	182	4	b.	b.	PROPN
afs-63668	182	5	,	,	PUNCT
afs-63668	182	6	börling	börling	NOUN
afs-63668	182	7	,	,	PUNCT
afs-63668	182	8	k.	k.	PROPN
afs-63668	182	9	,	,	PUNCT
afs-63668	182	10	kvarmo	kvarmo	NOUN
afs-63668	182	11	,	,	PUNCT
afs-63668	182	12	p.	p.	NOUN
afs-63668	182	13	,	,	PUNCT
afs-63668	182	14	listh	listh	PROPN
afs-63668	182	15	,	,	PUNCT
afs-63668	182	16	u.	u.	PROPN
afs-63668	182	17	,	,	PUNCT
afs-63668	182	18	malgeryd	malgeryd	PROPN
afs-63668	182	19	,	,	PUNCT
afs-63668	182	20	j.	j.	PROPN
afs-63668	182	21	&	&	CCONJ
afs-63668	182	22	stenberg	stenberg	PROPN
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afs-63668	182	26	.	.	PUNCT
afs-63668	183	1	rekommendationer	rekommendationer	NOUN
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afs-63668	183	3	gödsling	gödsle	VERB
afs-63668	183	4	och	och	NOUN
afs-63668	183	5	kalkning	kalkning	NOUN
afs-63668	183	6	2017	2017	NUM
afs-63668	183	7	.	.	PUNCT
afs-63668	184	1	swedish	swedish	PROPN
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afs-63668	184	8	sweden	sweden	PROPN
afs-63668	184	9	.	.	PUNCT
afs-63668	185	1	report	report	NOUN
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afs-63668	186	5	.	.	PUNCT
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afs-63668	186	7	7	7	NUM
afs-63668	186	8	october	october	PROPN
afs-63668	186	9	2017	2017	NUM
afs-63668	186	10	.	.	PUNCT
afs-63668	187	1	algerbo	algerbo	PROPN
afs-63668	187	2	,	,	PUNCT
afs-63668	187	3	p.-a	p.-a	PROPN
afs-63668	187	4	.	.	PROPN
afs-63668	187	5	,	,	PUNCT
afs-63668	187	6	mattson	mattson	PROPN
afs-63668	187	7	,	,	PUNCT
afs-63668	187	8	l.	l.	PROPN
afs-63668	187	9	&	&	CCONJ
afs-63668	187	10	thylén	thylén	PROPN
afs-63668	187	11	,	,	PUNCT
afs-63668	187	12	l.	l.	PROPN
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afs-63668	187	14	.	.	PUNCT
afs-63668	188	1	skörderelaterad	skörderelaterad	PROPN
afs-63668	188	2	kvävegödsling	kvävegödsling	NOUN
afs-63668	188	3	-	-	PUNCT
afs-63668	188	4	teknik	teknik	NOUN
afs-63668	188	5	,	,	PUNCT
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afs-63668	188	7	och	och	PROPN
afs-63668	188	8	erfarenheter	erfarenheter	PROPN
afs-63668	188	9	.	.	PUNCT
afs-63668	189	1	jti	jti	PROPN
afs-63668	189	2	-	-	PUNCT
afs-63668	189	3	institutet	institutet	NOUN
afs-63668	189	4	för	för	PROPN
afs-63668	189	5	jordbruksoch	jordbruksoch	PROPN
afs-63668	189	6	miljöteknik	miljöteknik	PROPN
afs-63668	189	7	.	.	PUNCT
afs-63668	190	1	report	report	VERB
afs-63668	190	2	311	311	NUM
afs-63668	190	3	.	.	PUNCT
afs-63668	191	1	http://www.vaxteko.nu/html/sll/jti/rapp_lantbr_industri/jrl311/jrl311.pdf	http://www.vaxteko.nu/html/sll/jti/rapp_lantbr_industri/jrl311/jrl311.pdf	NOUN
afs-63668	191	2	.	.	PUNCT
afs-63668	192	1	accessed	access	VERB
afs-63668	192	2	7	7	NUM
afs-63668	192	3	october	october	PROPN
afs-63668	192	4	2017	2017	NUM
afs-63668	192	5	.	.	PUNCT
afs-63668	193	1	blackmore	blackmore	NOUN
afs-63668	193	2	,	,	PUNCT
afs-63668	193	3	s.	s.	PROPN
afs-63668	193	4	2003	2003	NUM
afs-63668	193	5	.	.	PUNCT
afs-63668	194	1	the	the	DET
afs-63668	194	2	role	role	NOUN
afs-63668	194	3	of	of	ADP
afs-63668	194	4	yield	yield	NOUN
afs-63668	194	5	maps	map	NOUN
afs-63668	194	6	in	in	ADP
afs-63668	194	7	precision	precision	NOUN
afs-63668	194	8	farming	farming	NOUN
afs-63668	194	9	.	.	PUNCT
afs-63668	195	1	doctoral	doctoral	ADJ
afs-63668	195	2	thesis	thesis	NOUN
afs-63668	195	3	.	.	PUNCT
afs-63668	196	1	cranfield	cranfield	PROPN
afs-63668	196	2	,	,	PUNCT
afs-63668	196	3	uk	uk	PROPN
afs-63668	196	4	:	:	PUNCT
afs-63668	196	5	cranfield	cranfield	PROPN
afs-63668	196	6	university	university	PROPN
afs-63668	196	7	.	.	PUNCT
afs-63668	197	1	170	170	NUM
afs-63668	197	2	p.	p.	PROPN
afs-63668	197	3	http://	http://	PROPN
afs-63668	197	4	citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.460.682&rep=rep1&type=pdf	citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.460.682&rep=rep1&type=pdf	PROPN
afs-63668	197	5	.	.	PROPN
afs-63668	197	6	accessed	access	VERB
afs-63668	197	7	7	7	NUM
afs-63668	197	8	october	october	PROPN
afs-63668	197	9	2017	2017	NUM
afs-63668	197	10	.	.	PUNCT
afs-63668	198	1	bullock	bullock	PROPN
afs-63668	198	2	,	,	PUNCT
afs-63668	198	3	d.	d.	PROPN
afs-63668	198	4	g.	g.	PROPN
afs-63668	198	5	&	&	CCONJ
afs-63668	198	6	bullock	bullock	PROPN
afs-63668	198	7	,	,	PUNCT
afs-63668	198	8	d.	d.	PROPN
afs-63668	198	9	s.	s.	PROPN
afs-63668	198	10	1994	1994	NUM
afs-63668	198	11	.	.	PUNCT
afs-63668	199	1	quadratic	quadratic	ADJ
afs-63668	199	2	and	and	CCONJ
afs-63668	199	3	quadratic	quadratic	ADJ
afs-63668	199	4	-	-	PUNCT
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afs-63668	199	6	-	-	PUNCT
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afs-63668	199	13	rate	rate	NOUN
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afs-63668	199	16	:	:	PUNCT
afs-63668	199	17	a	a	DET
afs-63668	199	18	comparison	comparison	NOUN
afs-63668	199	19	.	.	PUNCT
afs-63668	200	1	agronomy	agronomy	NOUN
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afs-63668	200	3	86	86	NUM
afs-63668	200	4	:	:	PUNCT
afs-63668	200	5	191–195	191–195	NUM
afs-63668	200	6	.	.	PUNCT
afs-63668	201	1	https://doi.org/10.2134/agronj1994.00021962008600010033x	https://doi.org/10.2134/agronj1994.00021962008600010033x	PROPN
afs-63668	201	2	delin	delin	NOUN
afs-63668	201	3	,	,	PUNCT
afs-63668	201	4	s.	s.	PROPN
afs-63668	201	5	&	&	CCONJ
afs-63668	201	6	lindén	lindén	PROPN
afs-63668	201	7	,	,	PUNCT
afs-63668	201	8	b.	b.	PROPN
afs-63668	201	9	2002	2002	NUM
afs-63668	201	10	.	.	PUNCT
afs-63668	202	1	relations	relation	NOUN
afs-63668	202	2	between	between	ADP
afs-63668	202	3	net	net	ADJ
afs-63668	202	4	nitrogen	nitrogen	NOUN
afs-63668	202	5	mineralization	mineralization	NOUN
afs-63668	202	6	and	and	CCONJ
afs-63668	202	7	soil	soil	NOUN
afs-63668	202	8	characteristics	characteristic	NOUN
afs-63668	202	9	within	within	ADP
afs-63668	202	10	an	an	DET
afs-63668	202	11	arable	arable	ADJ
afs-63668	202	12	field	field	NOUN
afs-63668	202	13	.	.	PUNCT
afs-63668	203	1	acta	acta	PROPN
afs-63668	203	2	agriculturae	agriculturae	PROPN
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afs-63668	203	4	section	section	PROPN
afs-63668	203	5	b	b	PROPN
afs-63668	203	6	–	–	PUNCT
afs-63668	203	7	soil	soil	NOUN
afs-63668	203	8	and	and	CCONJ
afs-63668	203	9	plant	plant	NOUN
afs-63668	203	10	science	science	NOUN
afs-63668	203	11	52	52	NUM
afs-63668	203	12	:	:	SYM
afs-63668	203	13	8	8	NUM
afs-63668	203	14	.	.	X
afs-63668	204	1	https://doi.org/10.1080/090647102321089819	https://doi.org/10.1080/090647102321089819	VERB
afs-63668	204	2	delin	delin	NOUN
afs-63668	204	3	,	,	PUNCT
afs-63668	204	4	s.	s.	PROPN
afs-63668	204	5	&	&	CCONJ
afs-63668	204	6	stenberg	stenberg	PROPN
afs-63668	204	7	,	,	PUNCT
afs-63668	204	8	m.	m.	NOUN
afs-63668	204	9	2014	2014	NUM
afs-63668	204	10	.	.	PUNCT
afs-63668	205	1	effect	effect	NOUN
afs-63668	205	2	of	of	ADP
afs-63668	205	3	nitrogen	nitrogen	NOUN
afs-63668	205	4	fertilisation	fertilisation	NOUN
afs-63668	205	5	on	on	ADP
afs-63668	205	6	nitrate	nitrate	NOUN
afs-63668	205	7	leaching	leach	VERB
afs-63668	205	8	in	in	ADP
afs-63668	205	9	relation	relation	NOUN
afs-63668	205	10	to	to	ADP
afs-63668	205	11	grain	grain	NOUN
afs-63668	205	12	yield	yield	NOUN
afs-63668	205	13	response	response	NOUN
afs-63668	205	14	on	on	ADP
afs-63668	205	15	loamy	loamy	ADJ
afs-63668	205	16	sand	sand	NOUN
afs-63668	205	17	in	in	ADP
afs-63668	205	18	sweden	sweden	PROPN
afs-63668	205	19	.	.	PUNCT
afs-63668	206	1	european	european	PROPN
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afs-63668	206	3	of	of	ADP
afs-63668	206	4	agronomy	agronomy	NOUN
afs-63668	206	5	52	52	NUM
afs-63668	206	6	:	:	PUNCT
afs-63668	206	7	291–296	291–296	NUM
afs-63668	206	8	.	.	PUNCT
afs-63668	207	1	https://doi.org/10.1016/j.eja.2013.08.007	https://doi.org/10.1016/j.eja.2013.08.007	VERB
afs-63668	207	2	engström	engström	PROPN
afs-63668	207	3	,	,	PUNCT
afs-63668	207	4	l.	l.	PROPN
afs-63668	207	5	&	&	CCONJ
afs-63668	207	6	piikki	piikki	PROPN
afs-63668	207	7	,	,	PUNCT
afs-63668	207	8	k.	k.	PROPN
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afs-63668	207	10	.	.	PUNCT
afs-63668	208	1	skördeprognos	skördeprognos	PROPN
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afs-63668	208	4	av	av	PROPN
afs-63668	208	5	yara	yara	PROPN
afs-63668	208	6	n	n	CCONJ
afs-63668	208	7	-	-	PUNCT
afs-63668	208	8	sensor	sensor	NOUN
afs-63668	208	9	.	.	PUNCT
afs-63668	209	1	department	department	NOUN
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afs-63668	209	5	environment	environment	NOUN
afs-63668	209	6	,	,	PUNCT
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afs-63668	209	10	agricultural	agricultural	ADJ
afs-63668	209	11	sciences	science	NOUN
afs-63668	209	12	.	.	PUNCT
afs-63668	210	1	pos	pos	NOUN
afs-63668	210	2	technical	technical	ADJ
afs-63668	210	3	report	report	NOUN
afs-63668	210	4	39	39	NUM
afs-63668	210	5	.	.	PUNCT
afs-63668	211	1	https://pub.epsilon.slu.se/13480/.	https://pub.epsilon.slu.se/13480/.	NOUN
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afs-63668	211	3	7	7	NUM
afs-63668	211	4	october	october	PROPN
afs-63668	211	5	2017	2017	NUM
afs-63668	211	6	.	.	PUNCT
afs-63668	212	1	fixen	fixen	PROPN
afs-63668	212	2	,	,	PUNCT
afs-63668	212	3	p.e	p.e	PROPN
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afs-63668	212	6	.	.	PUNCT
afs-63668	213	1	use	use	NOUN
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afs-63668	213	7	n	n	PRON
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afs-63668	213	10	:	:	PUNCT
afs-63668	213	11	general	general	ADJ
afs-63668	213	12	concept	concept	NOUN
afs-63668	213	13	.	.	PUNCT
afs-63668	214	1	proceedings	proceeding	NOUN
afs-63668	214	2	,	,	PUNCT
afs-63668	214	3	north	north	ADJ
afs-63668	214	4	central	central	ADJ
afs-63668	214	5	extension	extension	NOUN
afs-63668	214	6	-	-	PUNCT
afs-63668	214	7	industry	industry	NOUN
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afs-63668	214	9	fertility	fertility	NOUN
afs-63668	214	10	conference	conference	NOUN
afs-63668	214	11	,	,	PUNCT
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afs-63668	214	13	moines	moines	PROPN
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afs-63668	214	17	7	7	NUM
afs-63668	214	18	-	-	SYM
afs-63668	214	19	8	8	NUM
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afs-63668	214	22	.	.	PUNCT
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afs-63668	215	2	plant	plant	PROPN
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afs-63668	215	4	institute	institute	PROPN
afs-63668	215	5	,	,	PUNCT
afs-63668	215	6	norcross	norcross	PROPN
afs-63668	215	7	,	,	PUNCT
afs-63668	215	8	ga	ga	PROPN
afs-63668	215	9	,	,	PUNCT
afs-63668	215	10	usa	usa	PROPN
afs-63668	215	11	.	.	PROPN
afs-63668	215	12	22	22	NUM
afs-63668	215	13	:	:	PUNCT
afs-63668	215	14	57–66	57–66	NUM
afs-63668	215	15	.	.	PUNCT
afs-63668	216	1	hastie	hastie	PROPN
afs-63668	216	2	t.	t.	PROPN
afs-63668	216	3	,	,	PUNCT
afs-63668	216	4	tibshirani	tibshirani	PROPN
afs-63668	216	5	r.	r.	PROPN
afs-63668	216	6	&	&	CCONJ
afs-63668	216	7	friedman	friedman	PROPN
afs-63668	216	8	j.	j.	PROPN
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afs-63668	216	10	.	.	PUNCT
afs-63668	217	1	the	the	DET
afs-63668	217	2	elements	element	NOUN
afs-63668	217	3	of	of	ADP
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afs-63668	217	5	learning	learning	NOUN
afs-63668	217	6	:	:	PUNCT
afs-63668	217	7	data	datum	NOUN
afs-63668	217	8	mining	mining	NOUN
afs-63668	217	9	inference	inference	NOUN
afs-63668	217	10	and	and	CCONJ
afs-63668	217	11	prediction	prediction	NOUN
afs-63668	217	12	.	.	PUNCT
afs-63668	218	1	new	new	PROPN
afs-63668	218	2	york	york	PROPN
afs-63668	218	3	,	,	PUNCT
afs-63668	218	4	usa	usa	PROPN
afs-63668	218	5	:	:	PUNCT
afs-63668	218	6	springer	springer	NOUN
afs-63668	218	7	science	science	NOUN
afs-63668	218	8	+	+	CCONJ
afs-63668	218	9	business	business	NOUN
afs-63668	218	10	media	medium	NOUN
afs-63668	218	11	.	.	PUNCT
afs-63668	219	1	746	746	NUM
afs-63668	219	2	p.	p.	NOUN
afs-63668	219	3	kachanoski	kachanoski	PROPN
afs-63668	219	4	,	,	PUNCT
afs-63668	219	5	r.	r.	PROPN
afs-63668	219	6	,	,	PUNCT
afs-63668	219	7	fairchild	fairchild	PROPN
afs-63668	219	8	,	,	PUNCT
afs-63668	219	9	g.	g.	PROPN
afs-63668	219	10	&	&	CCONJ
afs-63668	219	11	beauchamp	beauchamp	PROPN
afs-63668	219	12	,	,	PUNCT
afs-63668	219	13	e.	e.	PROPN
afs-63668	219	14	1996	1996	NUM
afs-63668	219	15	.	.	PUNCT
afs-63668	220	1	yield	yield	NOUN
afs-63668	220	2	indices	index	NOUN
afs-63668	220	3	for	for	ADP
afs-63668	220	4	corn	corn	NOUN
afs-63668	220	5	response	response	NOUN
afs-63668	220	6	to	to	ADP
afs-63668	220	7	applied	apply	VERB
afs-63668	220	8	fertilizer	fertilizer	NOUN
afs-63668	220	9	:	:	PUNCT
afs-63668	220	10	application	application	NOUN
afs-63668	220	11	in	in	ADP
afs-63668	220	12	site	site	NOUN
afs-63668	220	13	specific	specific	ADJ
afs-63668	220	14	crop	crop	NOUN
afs-63668	220	15	management	management	NOUN
afs-63668	220	16	.	.	PUNCT
afs-63668	221	1	in	in	ADP
afs-63668	221	2	:	:	PUNCT
afs-63668	221	3	robert	robert	PROPN
afs-63668	221	4	,	,	PUNCT
afs-63668	221	5	p.	p.	PROPN
afs-63668	221	6	,	,	PUNCT
afs-63668	221	7	rust	rust	PROPN
afs-63668	221	8	,	,	PUNCT
afs-63668	221	9	r.	r.	PROPN
afs-63668	221	10	,	,	PUNCT
afs-63668	221	11	and	and	CCONJ
afs-63668	221	12	larson	larson	PROPN
afs-63668	221	13	,	,	PUNCT
afs-63668	221	14	w.	w.	PROPN
afs-63668	221	15	(	(	PUNCT
afs-63668	221	16	eds	eds	PROPN
afs-63668	221	17	.	.	PUNCT
afs-63668	221	18	)	)	PUNCT
afs-63668	221	19	.	.	PUNCT
afs-63668	222	1	proc	proc	NOUN
afs-63668	222	2	.	.	PUNCT
afs-63668	223	1	third	third	ADJ
afs-63668	223	2	international	international	ADJ
afs-63668	223	3	conference	conference	NOUN
afs-63668	223	4	on	on	ADP
afs-63668	223	5	precision	precision	NOUN
afs-63668	223	6	agriculture	agriculture	NOUN
afs-63668	223	7	,	,	PUNCT
afs-63668	223	8	minneapolis	minneapolis	PROPN
afs-63668	223	9	.	.	PUNCT
afs-63668	224	1	p.	p.	NOUN
afs-63668	224	2	425–432	425–432	NUM
afs-63668	224	3	.	.	PUNCT
afs-63668	225	1	kachanoski	kachanoski	PROPN
afs-63668	225	2	,	,	PUNCT
afs-63668	225	3	r.	r.	PROPN
afs-63668	225	4	2009	2009	NUM
afs-63668	225	5	.	.	PUNCT
afs-63668	226	1	crop	crop	NOUN
afs-63668	226	2	response	response	NOUN
afs-63668	226	3	to	to	ADP
afs-63668	226	4	nitrogen	nitrogen	NOUN
afs-63668	226	5	fertilizer	fertilizer	NOUN
afs-63668	226	6	:	:	PUNCT
afs-63668	226	7	the	the	DET
afs-63668	226	8	delta	delta	NOUN
afs-63668	226	9	yield	yield	VERB
afs-63668	226	10	concept	concept	NOUN
afs-63668	226	11	.	.	PUNCT
afs-63668	227	1	canadian	canadian	ADJ
afs-63668	227	2	journal	journal	PROPN
afs-63668	227	3	of	of	ADP
afs-63668	227	4	soil	soil	NOUN
afs-63668	227	5	science	science	NOUN
afs-63668	227	6	89	89	NUM
afs-63668	227	7	:	:	PUNCT
afs-63668	227	8	543–554	543–554	NUM
afs-63668	227	9	.	.	PUNCT
afs-63668	228	1	https://doi.org/10.4141/cjss09003	https://doi.org/10.4141/cjss09003	PROPN
afs-63668	228	2	kyveryga	kyveryga	PROPN
afs-63668	228	3	,	,	PUNCT
afs-63668	228	4	p.	p.	PROPN
afs-63668	228	5	,	,	PUNCT
afs-63668	228	6	blackmer	blackmer	NOUN
afs-63668	228	7	,	,	PUNCT
afs-63668	228	8	a.	a.	PROPN
afs-63668	228	9	&	&	CCONJ
afs-63668	228	10	morris	morris	PROPN
afs-63668	228	11	,	,	PUNCT
afs-63668	228	12	t.	t.	PROPN
afs-63668	228	13	2007	2007	NUM
afs-63668	228	14	.	.	PUNCT
afs-63668	229	1	alternative	alternative	ADJ
afs-63668	229	2	benchmarks	benchmark	NOUN
afs-63668	229	3	for	for	ADP
afs-63668	229	4	economically	economically	ADV
afs-63668	229	5	optimal	optimal	ADJ
afs-63668	229	6	rates	rate	NOUN
afs-63668	229	7	of	of	ADP
afs-63668	229	8	nitrogen	nitrogen	NOUN
afs-63668	229	9	fertilization	fertilization	NOUN
afs-63668	229	10	for	for	ADP
afs-63668	229	11	corn	corn	NOUN
afs-63668	229	12	.	.	PUNCT
afs-63668	230	1	agronomy	agronomy	NOUN
afs-63668	230	2	journal	journal	NOUN
afs-63668	230	3	99	99	NUM
afs-63668	230	4	:	:	SYM
afs-63668	230	5	1057–1065	1057–1065	NUM
afs-63668	230	6	.	.	PUNCT
afs-63668	231	1	https://doi.org/10.2134/agronj2006.0340	https://doi.org/10.2134/agronj2006.0340	PROPN
afs-63668	231	2	lord	lord	PROPN
afs-63668	231	3	,	,	PUNCT
afs-63668	231	4	e.	e.	PROPN
afs-63668	231	5	&	&	CCONJ
afs-63668	231	6	mitchell	mitchell	PROPN
afs-63668	231	7	,	,	PUNCT
afs-63668	231	8	r.	r.	PROPN
afs-63668	231	9	1998	1998	NUM
afs-63668	231	10	.	.	PUNCT
afs-63668	232	1	effect	effect	NOUN
afs-63668	232	2	of	of	ADP
afs-63668	232	3	nitrogen	nitrogen	NOUN
afs-63668	232	4	inputs	input	NOUN
afs-63668	232	5	to	to	ADP
afs-63668	232	6	cereals	cereal	NOUN
afs-63668	232	7	on	on	ADP
afs-63668	232	8	nitrate	nitrate	NOUN
afs-63668	232	9	leaching	leach	VERB
afs-63668	232	10	from	from	ADP
afs-63668	232	11	sandy	sandy	ADJ
afs-63668	232	12	soils	soil	NOUN
afs-63668	232	13	.	.	PUNCT
afs-63668	233	1	soil	soil	NOUN
afs-63668	233	2	use	use	NOUN
afs-63668	233	3	and	and	CCONJ
afs-63668	233	4	management	management	NOUN
afs-63668	233	5	14	14	NUM
afs-63668	233	6	:	:	PUNCT
afs-63668	233	7	78–83	78–83	NUM
afs-63668	233	8	.	.	PUNCT
afs-63668	234	1	https://doi.org/10.1111/j.1475-2743.1998.tb00619.x	https://doi.org/10.1111/j.1475-2743.1998.tb00619.x	PROPN
afs-63668	234	2	lory	lory	PROPN
afs-63668	234	3	,	,	PUNCT
afs-63668	234	4	j.	j.	PROPN
afs-63668	234	5	&	&	CCONJ
afs-63668	234	6	scharf	scharf	PROPN
afs-63668	234	7	,	,	PUNCT
afs-63668	234	8	p.	p.	NOUN
afs-63668	234	9	2003	2003	NUM
afs-63668	234	10	.	.	PUNCT
afs-63668	235	1	yield	yield	VERB
afs-63668	235	2	goal	goal	NOUN
afs-63668	235	3	versus	versus	ADP
afs-63668	235	4	delta	delta	NOUN
afs-63668	235	5	yield	yield	NOUN
afs-63668	235	6	for	for	ADP
afs-63668	235	7	predicting	predict	VERB
afs-63668	235	8	fertilizer	fertilizer	NOUN
afs-63668	235	9	nitrogen	nitrogen	NOUN
afs-63668	235	10	need	need	NOUN
afs-63668	235	11	in	in	ADP
afs-63668	235	12	corn	corn	NOUN
afs-63668	235	13	.	.	PUNCT
afs-63668	236	1	agronomy	agronomy	NOUN
afs-63668	236	2	journal	journal	NOUN
afs-63668	236	3	95	95	NUM
afs-63668	236	4	:	:	PUNCT
afs-63668	236	5	994	994	NUM
afs-63668	236	6	–	–	PUNCT
afs-63668	236	7	999	999	NUM
afs-63668	236	8	.	.	PUNCT
afs-63668	237	1	https://doi.org/10.2134/agronj2003.0994	https://doi.org/10.2134/agronj2003.0994	ADJ
afs-63668	237	2	agricultural	agricultural	ADJ
afs-63668	237	3	and	and	CCONJ
afs-63668	237	4	food	food	NOUN
afs-63668	237	5	science	science	PROPN
afs-63668	237	6	k.	k.	PROPN
afs-63668	237	7	piikki	piikki	PROPN
afs-63668	237	8	&	&	CCONJ
afs-63668	237	9	b.	b.	PROPN
afs-63668	237	10	stenberg	stenberg	PROPN
afs-63668	237	11	(	(	PUNCT
afs-63668	237	12	2017	2017	NUM
afs-63668	237	13	)	)	PUNCT
afs-63668	237	14	26	26	NUM
afs-63668	237	15	:	:	PUNCT
afs-63668	237	16	233–241	233–241	NUM
afs-63668	237	17	241	241	NUM
afs-63668	237	18	montesinos	montesino	NOUN
afs-63668	237	19	-	-	PUNCT
afs-63668	237	20	lópez	lópez	NOUN
afs-63668	237	21	,	,	PUNCT
afs-63668	237	22	o.	o.	PROPN
afs-63668	237	23	,	,	PUNCT
afs-63668	237	24	montesinos	montesino	NOUN
afs-63668	237	25	-	-	PUNCT
afs-63668	237	26	lópez	lópez	NOUN
afs-63668	237	27	,	,	PUNCT
afs-63668	237	28	a.	a.	NOUN
afs-63668	237	29	,	,	PUNCT
afs-63668	237	30	crossa	crossa	ADJ
afs-63668	237	31	,	,	PUNCT
afs-63668	237	32	j.	j.	PROPN
afs-63668	237	33	,	,	PUNCT
afs-63668	237	34	los	los	PROPN
afs-63668	237	35	campos	campos	PROPN
afs-63668	237	36	,	,	PUNCT
afs-63668	237	37	g.	g.	PROPN
afs-63668	237	38	,	,	PUNCT
afs-63668	237	39	alvarado	alvarado	PROPN
afs-63668	237	40	,	,	PUNCT
afs-63668	237	41	g.	g.	PROPN
afs-63668	237	42	,	,	PUNCT
afs-63668	237	43	suchismita	suchismita	PROPN
afs-63668	237	44	,	,	PUNCT
afs-63668	237	45	m.	m.	NOUN
afs-63668	237	46	,	,	PUNCT
afs-63668	237	47	rutkoski	rutkoski	NOUN
afs-63668	237	48	,	,	PUNCT
afs-63668	237	49	j.	j.	PROPN
afs-63668	237	50	,	,	PUNCT
afs-63668	237	51	gonzalez	gonzalez	PROPN
afs-63668	237	52	-	-	PUNCT
afs-63668	237	53	perez	perez	PROPN
afs-63668	237	54	l.	l.	PROPN
afs-63668	237	55	&	&	CCONJ
afs-63668	237	56	burgueno	burgueno	PROPN
afs-63668	237	57	,	,	PUNCT
afs-63668	237	58	j.	j.	PROPN
afs-63668	237	59	2017	2017	NUM
afs-63668	237	60	.	.	PUNCT
afs-63668	238	1	predicting	predict	VERB
afs-63668	238	2	grain	grain	NOUN
afs-63668	238	3	yield	yield	NOUN
afs-63668	238	4	using	use	VERB
afs-63668	238	5	canopy	canopy	NOUN
afs-63668	238	6	hyperspectral	hyperspectral	ADJ
afs-63668	238	7	reflectance	reflectance	NOUN
afs-63668	238	8	in	in	ADP
afs-63668	238	9	wheat	wheat	NOUN
afs-63668	238	10	breeding	breeding	NOUN
afs-63668	238	11	data	datum	NOUN
afs-63668	238	12	.	.	PUNCT
afs-63668	239	1	plant	plant	NOUN
afs-63668	239	2	methods	method	NOUN
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afs-63668	239	4	.	.	PUNCT
afs-63668	240	1	https://doi.org/10.1186/s13007-016-0154-2	https://doi.org/10.1186/s13007-016-0154-2	PROPN
afs-63668	240	2	nash	nash	PROPN
afs-63668	240	3	,	,	PUNCT
afs-63668	240	4	j.	j.	PROPN
afs-63668	240	5	&	&	CCONJ
afs-63668	240	6	sutcliffe	sutcliffe	PROPN
afs-63668	240	7	j.	j.	PROPN
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afs-63668	240	9	.	.	PUNCT
afs-63668	241	1	river	river	NOUN
afs-63668	241	2	flow	flow	NOUN
afs-63668	241	3	forecasting	forecasting	NOUN
afs-63668	241	4	through	through	ADP
afs-63668	241	5	conceptual	conceptual	ADJ
afs-63668	241	6	models	model	NOUN
afs-63668	241	7	:	:	PUNCT
afs-63668	241	8	part	part	NOUN
afs-63668	241	9	1	1	NUM
afs-63668	241	10	.	.	PUNCT
afs-63668	242	1	a	a	DET
afs-63668	242	2	discussion	discussion	NOUN
afs-63668	242	3	of	of	ADP
afs-63668	242	4	principles	principle	NOUN
afs-63668	242	5	.	.	PUNCT
afs-63668	243	1	journal	journal	NOUN
afs-63668	243	2	of	of	ADP
afs-63668	243	3	hydrology	hydrology	NOUN
afs-63668	243	4	10	10	NUM
afs-63668	243	5	:	:	PUNCT
afs-63668	243	6	282–290	282–290	NUM
afs-63668	243	7	.	.	PUNCT
afs-63668	244	1	https://doi.org/10.1016/0022-1694(70)90255-6	https://doi.org/10.1016/0022-1694(70)90255-6	PROPN
afs-63668	244	2	nel	nel	PROPN
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afs-63668	244	4	&	&	CCONJ
afs-63668	244	5	bloem	bloem	PROPN
afs-63668	244	6	a.	a.	PROPN
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afs-63668	244	8	.	.	PUNCT
afs-63668	245	1	the	the	DET
afs-63668	245	2	delta	delta	NOUN
afs-63668	245	3	yield	yield	NOUN
afs-63668	245	4	procedure	procedure	NOUN
afs-63668	245	5	for	for	ADP
afs-63668	245	6	nitrogen	nitrogen	NOUN
afs-63668	245	7	fertilisation	fertilisation	NOUN
afs-63668	245	8	of	of	ADP
afs-63668	245	9	maize	maize	NOUN
afs-63668	245	10	in	in	ADP
afs-63668	245	11	south	south	PROPN
afs-63668	245	12	africa	africa	PROPN
afs-63668	245	13	.	.	PUNCT
afs-63668	246	1	south	south	ADJ
afs-63668	246	2	african	african	ADJ
afs-63668	246	3	journal	journal	NOUN
afs-63668	246	4	of	of	ADP
afs-63668	246	5	plant	plant	NOUN
afs-63668	246	6	and	and	CCONJ
afs-63668	246	7	soil	soil	NOUN
afs-63668	246	8	23	23	NUM
afs-63668	246	9	:	:	PUNCT
afs-63668	246	10	203–208	203–208	NUM
afs-63668	246	11	.	.	PUNCT
afs-63668	247	1	https://doi.org/10.1080/02571862.2006.10634755	https://doi.org/10.1080/02571862.2006.10634755	NOUN
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afs-63668	247	3	,	,	PUNCT
afs-63668	247	4	s.	s.	PROPN
afs-63668	247	5	,	,	PUNCT
afs-63668	247	6	isaksson	isaksson	PROPN
afs-63668	247	7	,	,	PUNCT
afs-63668	247	8	t.	t.	PROPN
afs-63668	247	9	&	&	CCONJ
afs-63668	247	10	korsaeth	korsaeth	PROPN
afs-63668	247	11	,	,	PUNCT
afs-63668	247	12	a.	a.	NOUN
afs-63668	247	13	2013	2013	NUM
afs-63668	247	14	.	.	PUNCT
afs-63668	248	1	prediction	prediction	NOUN
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afs-63668	248	3	wheat	wheat	NOUN
afs-63668	248	4	yield	yield	NOUN
afs-63668	248	5	and	and	CCONJ
afs-63668	248	6	protein	protein	NOUN
afs-63668	248	7	using	use	VERB
afs-63668	248	8	remote	remote	ADJ
afs-63668	248	9	sensors	sensor	NOUN
afs-63668	248	10	on	on	ADP
afs-63668	248	11	plots	plot	NOUN
afs-63668	248	12	–	–	PUNCT
afs-63668	248	13	part	part	NOUN
afs-63668	249	1	i	i	NOUN
afs-63668	249	2	:	:	PUNCT
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afs-63668	249	4	near	near	ADP
afs-63668	249	5	infrared	infrared	ADJ
afs-63668	249	6	model	model	NOUN
afs-63668	249	7	robustness	robustness	NOUN
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afs-63668	249	9	year	year	NOUN
afs-63668	249	10	and	and	CCONJ
afs-63668	249	11	site	site	NOUN
afs-63668	249	12	variations	variation	NOUN
afs-63668	249	13	.	.	PUNCT
afs-63668	250	1	journal	journal	NOUN
afs-63668	250	2	of	of	ADP
afs-63668	250	3	near	near	PROPN
afs-63668	250	4	infrared	infrared	ADJ
afs-63668	250	5	spectroscopy	spectroscopy	VERB
afs-63668	250	6	21	21	NUM
afs-63668	250	7	:	:	PUNCT
afs-63668	250	8	117–131	117–131	NUM
afs-63668	250	9	.	.	PUNCT
afs-63668	251	1	https://	https://	PROPN
afs-63668	251	2	doi.org/10.1255/jnirs.1042	doi.org/10.1255/jnirs.1042	PROPN
afs-63668	251	3	piikki	piikki	PROPN
afs-63668	251	4	,	,	PUNCT
afs-63668	251	5	k.	k.	PROPN
afs-63668	251	6	,	,	PUNCT
afs-63668	251	7	söderström	söderström	ADV
afs-63668	251	8	,	,	PUNCT
afs-63668	251	9	m.	m.	NOUN
afs-63668	251	10	,	,	PUNCT
afs-63668	251	11	eriksson	eriksson	PROPN
afs-63668	251	12	,	,	PUNCT
afs-63668	251	13	j.	j.	PROPN
afs-63668	251	14	,	,	PUNCT
afs-63668	251	15	muturi	muturi	PROPN
afs-63668	251	16	john	john	PROPN
afs-63668	251	17	,	,	PUNCT
afs-63668	251	18	j.	j.	PROPN
afs-63668	251	19	,	,	PUNCT
afs-63668	251	20	ireri	ireri	ADJ
afs-63668	251	21	muthee	muthee	NOUN
afs-63668	251	22	,	,	PUNCT
afs-63668	251	23	p.	p.	NOUN
afs-63668	251	24	,	,	PUNCT
afs-63668	251	25	wetterlind	wetterlind	PROPN
afs-63668	251	26	,	,	PUNCT
afs-63668	251	27	j.	j.	PROPN
afs-63668	251	28	&	&	CCONJ
afs-63668	251	29	lund	lund	PROPN
afs-63668	251	30	,	,	PUNCT
afs-63668	251	31	e.	e.	PROPN
afs-63668	251	32	2016	2016	NUM
afs-63668	251	33	.	.	PUNCT
afs-63668	252	1	performance	performance	NOUN
afs-63668	252	2	evaluation	evaluation	NOUN
afs-63668	252	3	of	of	ADP
afs-63668	252	4	proximal	proximal	ADJ
afs-63668	252	5	sensors	sensor	NOUN
afs-63668	252	6	for	for	ADP
afs-63668	252	7	soil	soil	NOUN
afs-63668	252	8	assessment	assessment	NOUN
afs-63668	252	9	in	in	ADP
afs-63668	252	10	smallholder	smallholder	NOUN
afs-63668	252	11	farms	farm	NOUN
afs-63668	252	12	in	in	ADP
afs-63668	252	13	embu	embu	PROPN
afs-63668	252	14	county	county	NOUN
afs-63668	252	15	,	,	PUNCT
afs-63668	252	16	kenya	kenya	PROPN
afs-63668	252	17	.	.	PUNCT
afs-63668	253	1	sensors	sensor	NOUN
afs-63668	253	2	16	16	NUM
afs-63668	253	3	.	.	PUNCT
afs-63668	254	1	https://doi.org/10.3390/s16111950	https://doi.org/10.3390/s16111950	NUM
afs-63668	254	2	rajsic	rajsic	NOUN
afs-63668	254	3	,	,	PUNCT
afs-63668	254	4	p.	p.	NOUN
afs-63668	254	5	&	&	CCONJ
afs-63668	254	6	weersink	weersink	PROPN
afs-63668	254	7	,	,	PUNCT
afs-63668	254	8	a.	a.	NOUN
afs-63668	254	9	2008	2008	NUM
afs-63668	254	10	.	.	PUNCT
afs-63668	255	1	do	do	AUX
afs-63668	255	2	farmers	farmer	NOUN
afs-63668	255	3	waste	waste	VERB
afs-63668	255	4	fertilizer	fertilizer	NOUN
afs-63668	255	5	?	?	PUNCT
afs-63668	256	1	a	a	DET
afs-63668	256	2	comparison	comparison	NOUN
afs-63668	256	3	of	of	ADP
afs-63668	256	4	ex	ex	ADJ
afs-63668	256	5	post	post	ADJ
afs-63668	256	6	optimal	optimal	ADJ
afs-63668	256	7	nitrogen	nitrogen	NOUN
afs-63668	256	8	rates	rate	NOUN
afs-63668	256	9	and	and	CCONJ
afs-63668	256	10	ex	ex	PRON
afs-63668	256	11	ante	ante	NOUN
afs-63668	256	12	recommendations	recommendation	NOUN
afs-63668	256	13	by	by	ADP
afs-63668	256	14	model	model	NOUN
afs-63668	256	15	,	,	PUNCT
afs-63668	256	16	site	site	NOUN
afs-63668	256	17	and	and	CCONJ
afs-63668	256	18	year	year	NOUN
afs-63668	256	19	.	.	PUNCT
afs-63668	257	1	agricultural	agricultural	ADJ
afs-63668	257	2	systems	system	NOUN
afs-63668	257	3	97	97	NUM
afs-63668	257	4	:	:	SYM
afs-63668	257	5	56–67	56–67	NUM
afs-63668	257	6	.	.	PUNCT
afs-63668	258	1	https://doi.org/10.1016/j.agsy.2007.12.001	https://doi.org/10.1016/j.agsy.2007.12.001	PROPN
afs-63668	258	2	raun	raun	NOUN
afs-63668	258	3	,	,	PUNCT
afs-63668	258	4	w.	w.	PROPN
afs-63668	258	5	,	,	PUNCT
afs-63668	258	6	solie	solie	PROPN
afs-63668	258	7	,	,	PUNCT
afs-63668	258	8	j.	j.	PROPN
afs-63668	258	9	&	&	CCONJ
afs-63668	258	10	stone	stone	PROPN
afs-63668	258	11	,	,	PUNCT
afs-63668	258	12	m.	m.	NOUN
afs-63668	258	13	2011	2011	NUM
afs-63668	258	14	.	.	PUNCT
afs-63668	259	1	independence	independence	NOUN
afs-63668	259	2	of	of	ADP
afs-63668	259	3	yield	yield	NOUN
afs-63668	259	4	potential	potential	ADJ
afs-63668	259	5	and	and	CCONJ
afs-63668	259	6	crop	crop	NOUN
afs-63668	259	7	nitrogen	nitrogen	NOUN
afs-63668	259	8	response	response	NOUN
afs-63668	259	9	.	.	PUNCT
afs-63668	260	1	precision	precision	NOUN
afs-63668	260	2	agriculture	agriculture	NOUN
afs-63668	260	3	12	12	NUM
afs-63668	260	4	:	:	PUNCT
afs-63668	260	5	508	508	NUM
afs-63668	260	6	–	–	PUNCT
afs-63668	260	7	518	518	NUM
afs-63668	260	8	.	.	PUNCT
afs-63668	261	1	https://doi.org/10.1007/s11119-010-9196-z	https://doi.org/10.1007/s11119-010-9196-z	NOUN
afs-63668	261	2	r	r	NOUN
afs-63668	261	3	core	core	NOUN
afs-63668	261	4	team	team	NOUN
afs-63668	261	5	2017	2017	NUM
afs-63668	261	6	.	.	PUNCT
afs-63668	262	1	r	r	X
afs-63668	262	2	:	:	PUNCT
afs-63668	262	3	a	a	DET
afs-63668	262	4	language	language	NOUN
afs-63668	262	5	and	and	CCONJ
afs-63668	262	6	environment	environment	NOUN
afs-63668	262	7	for	for	ADP
afs-63668	262	8	statistical	statistical	ADJ
afs-63668	262	9	computing	computing	NOUN
afs-63668	262	10	.	.	PUNCT
afs-63668	263	1	r	r	NOUN
afs-63668	263	2	foundation	foundation	NOUN
afs-63668	263	3	for	for	ADP
afs-63668	263	4	statistical	statistical	ADJ
afs-63668	263	5	computing	computing	NOUN
afs-63668	263	6	,	,	PUNCT
afs-63668	263	7	vienna	vienna	PROPN
afs-63668	263	8	,	,	PUNCT
afs-63668	263	9	austria	austria	PROPN
afs-63668	263	10	.	.	PUNCT
afs-63668	264	1	https://www.r-project.org/.	https://www.r-project.org/.	PROPN
afs-63668	264	2	accessed	access	VERB
afs-63668	264	3	8	8	NUM
afs-63668	264	4	october	october	PROPN
afs-63668	264	5	2017	2017	NUM
afs-63668	264	6	.	.	PUNCT
afs-63668	265	1	solie	solie	NOUN
afs-63668	265	2	,	,	PUNCT
afs-63668	265	3	j.	j.	PROPN
afs-63668	265	4	,	,	PUNCT
afs-63668	265	5	monroe	monroe	PROPN
afs-63668	265	6	,	,	PUNCT
afs-63668	265	7	a.	a.	PROPN
afs-63668	265	8	,	,	PUNCT
afs-63668	265	9	raun	raun	PROPN
afs-63668	265	10	,	,	PUNCT
afs-63668	265	11	w.	w.	PROPN
afs-63668	265	12	&	&	CCONJ
afs-63668	265	13	stone	stone	PROPN
afs-63668	265	14	,	,	PUNCT
afs-63668	265	15	m.	m.	NOUN
afs-63668	265	16	2012	2012	NUM
afs-63668	265	17	.	.	PUNCT
afs-63668	266	1	generalized	generalized	ADJ
afs-63668	266	2	algorithm	algorithm	NOUN
afs-63668	266	3	for	for	ADP
afs-63668	266	4	variable	variable	ADJ
afs-63668	266	5	-	-	PUNCT
afs-63668	266	6	rate	rate	NOUN
afs-63668	266	7	nitrogen	nitrogen	NOUN
afs-63668	266	8	application	application	NOUN
afs-63668	266	9	in	in	ADP
afs-63668	266	10	cereal	cereal	NOUN
afs-63668	266	11	grains	grain	NOUN
afs-63668	266	12	.	.	PUNCT
afs-63668	267	1	agronomy	agronomy	NOUN
afs-63668	267	2	journal	journal	NOUN
afs-63668	267	3	104	104	NUM
afs-63668	267	4	:	:	PUNCT
afs-63668	267	5	378–387	378–387	NUM
afs-63668	267	6	.	.	PUNCT
afs-63668	268	1	https://doi.org/10.2134/agronj2011.0249	https://doi.org/10.2134/agronj2011.0249	PROPN
afs-63668	268	2	stenberg	stenberg	PROPN
afs-63668	268	3	,	,	PUNCT
afs-63668	268	4	m.	m.	NOUN
afs-63668	268	5	,	,	PUNCT
afs-63668	268	6	söderström	söderström	NOUN
afs-63668	268	7	,	,	PUNCT
afs-63668	268	8	m.	m.	NOUN
afs-63668	268	9	,	,	PUNCT
afs-63668	268	10	gruvaeus	gruvaeus	NOUN
afs-63668	268	11	,	,	PUNCT
afs-63668	268	12	i.	i.	PROPN
afs-63668	268	13	,	,	PUNCT
afs-63668	268	14	bjurling	bjurling	NOUN
afs-63668	268	15	,	,	PUNCT
afs-63668	268	16	e.	e.	PROPN
afs-63668	268	17	,	,	PUNCT
afs-63668	268	18	gustafsson	gustafsson	PROPN
afs-63668	268	19	k.	k.	PROPN
afs-63668	268	20	,	,	PUNCT
afs-63668	268	21	krijger	krijger	PROPN
afs-63668	268	22	,	,	PUNCT
afs-63668	268	23	a.-k	a.-k	PROPN
afs-63668	268	24	.	.	PROPN
afs-63668	268	25	,	,	PUNCT
afs-63668	268	26	stenberg	stenberg	PROPN
afs-63668	268	27	,	,	PUNCT
afs-63668	268	28	b.	b.	PROPN
afs-63668	268	29	&	&	CCONJ
afs-63668	268	30	pettersson	pettersson	PROPN
afs-63668	268	31	,	,	PUNCT
afs-63668	268	32	c.-g	c.-g	PROPN
afs-63668	268	33	.	.	PUNCT
afs-63668	268	34	2009	2009	NUM
afs-63668	268	35	.	.	PUNCT
afs-63668	269	1	orsaker	orsaker	PROPN
afs-63668	269	2	till	till	SCONJ
afs-63668	269	3	skillnader	skillnader	PROPN
afs-63668	269	4	mellan	mellan	PROPN
afs-63668	269	5	rekommenderade	rekommenderade	PROPN
afs-63668	269	6	kvävegivor	kvävegivor	PROPN
afs-63668	269	7	och	och	PROPN
afs-63668	269	8	de	de	PROPN
afs-63668	269	9	verkliga	verkliga	PROPN
afs-63668	269	10	eller	eller	PROPN
afs-63668	269	11	beräknat	beräknat	PROPN
afs-63668	269	12	optimala	optimala	PROPN
afs-63668	269	13	i	i	PROPN
afs-63668	269	14	praktisk	praktisk	PROPN
afs-63668	269	15	spannmålsodling	spannmålsodle	VERB
afs-63668	269	16	.	.	PUNCT
afs-63668	270	1	hushållningssällskapet	hushållningssällskapet	PROPN
afs-63668	270	2	skaraborg	skaraborg	PROPN
afs-63668	270	3	report	report	VERB
afs-63668	270	4	5	5	NUM
afs-63668	270	5	.	.	NOUN
afs-63668	270	6	58	58	NUM
afs-63668	270	7	pp	pp	NOUN
afs-63668	270	8	.	.	PUNCT
afs-63668	271	1	http://hushallningssallskapet.se/wp-content/uploads/2015/05/2009_5_kvave_spannmalsodling.pdf	http://hushallningssallskapet.se/wp-content/uploads/2015/05/2009_5_kvave_spannmalsodling.pdf	PROPN
afs-63668	271	2	.	.	PUNCT
afs-63668	271	3	accessed	access	VERB
afs-63668	271	4	7	7	NUM
afs-63668	271	5	october	october	PROPN
afs-63668	271	6	2017	2017	NUM
afs-63668	271	7	.	.	PUNCT
afs-63668	272	1	söderström	söderström	ADV
afs-63668	272	2	,	,	PUNCT
afs-63668	272	3	m.	m.	NOUN
afs-63668	272	4	,	,	PUNCT
afs-63668	272	5	piikki	piikki	PROPN
afs-63668	272	6	,	,	PUNCT
afs-63668	272	7	k.	k.	PROPN
afs-63668	272	8	,	,	PUNCT
afs-63668	272	9	stenberg	stenberg	PROPN
afs-63668	272	10	,	,	PUNCT
afs-63668	272	11	m.	m.	NOUN
afs-63668	272	12	,	,	PUNCT
afs-63668	272	13	stadig	stadig	PROPN
afs-63668	272	14	,	,	PUNCT
afs-63668	272	15	h.	h.	PROPN
afs-63668	272	16	&	&	CCONJ
afs-63668	272	17	martinsson	martinsson	PROPN
afs-63668	272	18	,	,	PUNCT
afs-63668	272	19	j.	j.	PROPN
afs-63668	272	20	2017	2017	NUM
afs-63668	272	21	.	.	PUNCT
afs-63668	273	1	producing	produce	VERB
afs-63668	273	2	nitrogen	nitrogen	NOUN
afs-63668	273	3	(	(	PUNCT
afs-63668	273	4	n	n	CCONJ
afs-63668	273	5	)	)	PUNCT
afs-63668	273	6	uptake	uptake	ADJ
afs-63668	273	7	maps	map	NOUN
afs-63668	273	8	in	in	ADP
afs-63668	273	9	winter	winter	NOUN
afs-63668	273	10	wheat	wheat	NOUN
afs-63668	273	11	by	by	ADP
afs-63668	273	12	combining	combine	VERB
afs-63668	273	13	proximal	proximal	ADJ
afs-63668	273	14	crop	crop	NOUN
afs-63668	273	15	measurements	measurement	NOUN
afs-63668	273	16	with	with	ADP
afs-63668	273	17	sentinel-2	sentinel-2	NUM
afs-63668	273	18	and	and	CCONJ
afs-63668	273	19	dmc	dmc	PROPN
afs-63668	273	20	satellite	satellite	NOUN
afs-63668	273	21	images	image	NOUN
afs-63668	273	22	in	in	ADP
afs-63668	273	23	a	a	DET
afs-63668	273	24	decision	decision	NOUN
afs-63668	273	25	support	support	NOUN
afs-63668	273	26	system	system	NOUN
afs-63668	273	27	for	for	ADP
afs-63668	273	28	farmers	farmer	NOUN
afs-63668	273	29	.	.	PUNCT
afs-63668	274	1	acta	acta	PROPN
afs-63668	274	2	agriculturae	agriculturae	PROPN
afs-63668	274	3	scandinavica	scandinavica	PROPN
afs-63668	274	4	,	,	PUNCT
afs-63668	274	5	section	section	NOUN
afs-63668	274	6	b	b	PROPN
afs-63668	274	7	—	—	PUNCT
afs-63668	274	8	soil	soil	NOUN
afs-63668	274	9	&	&	CCONJ
afs-63668	274	10	plant	plant	NOUN
afs-63668	274	11	science	science	NOUN
afs-63668	274	12	67	67	NUM
afs-63668	274	13	:	:	PUNCT
afs-63668	274	14	637–650	637–650	NUM
afs-63668	274	15	.	.	PUNCT
afs-63668	275	1	wang	wang	PROPN
afs-63668	275	2	,	,	PUNCT
afs-63668	275	3	l.	l.	PROPN
afs-63668	275	4	,	,	PUNCT
afs-63668	275	5	tian	tian	PROPN
afs-63668	275	6	,	,	PUNCT
afs-63668	275	7	y.	y.	PROPN
afs-63668	275	8	,	,	PUNCT
afs-63668	275	9	yao	yao	PROPN
afs-63668	275	10	,	,	PUNCT
afs-63668	275	11	x.	x.	PROPN
afs-63668	275	12	,	,	PUNCT
afs-63668	275	13	zhu	zhu	PROPN
afs-63668	275	14	,	,	PUNCT
afs-63668	275	15	y.	y.	PROPN
afs-63668	275	16	&	&	CCONJ
afs-63668	275	17	cao	cao	PROPN
afs-63668	275	18	,	,	PUNCT
afs-63668	275	19	w.	w.	PROPN
afs-63668	275	20	2014	2014	NUM
afs-63668	275	21	.	.	PUNCT
afs-63668	276	1	predicting	predict	VERB
afs-63668	276	2	grain	grain	NOUN
afs-63668	276	3	yield	yield	NOUN
afs-63668	276	4	and	and	CCONJ
afs-63668	276	5	protein	protein	NOUN
afs-63668	276	6	content	content	NOUN
afs-63668	276	7	in	in	ADP
afs-63668	276	8	wheat	wheat	NOUN
afs-63668	276	9	by	by	ADP
afs-63668	276	10	fusing	fuse	VERB
afs-63668	276	11	multi	multi	ADJ
afs-63668	276	12	-	-	ADJ
afs-63668	276	13	sensor	sensor	ADJ
afs-63668	276	14	and	and	CCONJ
afs-63668	276	15	multi	multi	ADJ
afs-63668	276	16	-	-	ADJ
afs-63668	276	17	temporal	temporal	ADJ
afs-63668	276	18	remote	remote	ADJ
afs-63668	276	19	-	-	PUNCT
afs-63668	276	20	sensing	sense	VERB
afs-63668	276	21	images	image	NOUN
afs-63668	276	22	.	.	PUNCT
afs-63668	277	1	field	field	NOUN
afs-63668	277	2	crops	crop	NOUN
afs-63668	277	3	research	research	VERB
afs-63668	277	4	164	164	NUM
afs-63668	277	5	:	:	PUNCT
afs-63668	278	1	178–188	178–188	NUM
afs-63668	278	2	.	.	PUNCT
afs-63668	279	1	https://doi.org/10.1016/j.fcr.2014.05.001	https://doi.org/10.1016/j.fcr.2014.05.001	NOUN
afs-63668	279	2	wetterlind	wetterlind	NOUN
afs-63668	279	3	,	,	PUNCT
afs-63668	279	4	j.	j.	PROPN
afs-63668	279	5	,	,	PUNCT
afs-63668	279	6	stenberg	stenberg	PROPN
afs-63668	279	7	,	,	PUNCT
afs-63668	279	8	b.	b.	PROPN
afs-63668	279	9	&	&	CCONJ
afs-63668	279	10	jonsson	jonsson	PROPN
afs-63668	279	11	,	,	PUNCT
afs-63668	279	12	a.	a.	NOUN
afs-63668	279	13	2008	2008	NUM
afs-63668	279	14	.	.	PUNCT
afs-63668	280	1	near	near	ADP
afs-63668	280	2	infrared	infrared	ADJ
afs-63668	280	3	reflectance	reflectance	NOUN
afs-63668	280	4	spectroscopy	spectroscopy	NOUN
afs-63668	280	5	compared	compare	VERB
afs-63668	280	6	with	with	ADP
afs-63668	280	7	soil	soil	NOUN
afs-63668	280	8	clay	clay	NOUN
afs-63668	280	9	and	and	CCONJ
afs-63668	280	10	organic	organic	ADJ
afs-63668	280	11	matter	matter	NOUN
afs-63668	280	12	content	content	NOUN
afs-63668	280	13	for	for	ADP
afs-63668	280	14	estimating	estimate	VERB
afs-63668	280	15	within	within	ADP
afs-63668	280	16	-	-	PUNCT
afs-63668	280	17	field	field	NOUN
afs-63668	280	18	variation	variation	NOUN
afs-63668	280	19	in	in	ADP
afs-63668	280	20	n	n	CCONJ
afs-63668	280	21	uptake	uptake	ADJ
afs-63668	280	22	in	in	ADP
afs-63668	280	23	cereals	cereal	NOUN
afs-63668	280	24	.	.	PUNCT
afs-63668	281	1	plant	plant	NOUN
afs-63668	281	2	and	and	CCONJ
afs-63668	281	3	soil	soil	NOUN
afs-63668	281	4	302	302	NUM
afs-63668	281	5	:	:	PUNCT
afs-63668	281	6	317–327	317–327	NUM
afs-63668	281	7	.	.	PUNCT
afs-63668	282	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
afs-63668	282	2	s11104	s11104	PROPN
afs-63668	282	3	-	-	PUNCT
afs-63668	282	4	007	007	NUM
afs-63668	282	5	-	-	PUNCT
afs-63668	282	6	9489	9489	NUM
afs-63668	282	7	-	-	PUNCT
afs-63668	282	8	9	9	NUM
afs-63668	282	9	zadoks	zadok	NOUN
afs-63668	282	10	,	,	PUNCT
afs-63668	282	11	j.	j.	PROPN
afs-63668	282	12	,	,	PUNCT
afs-63668	282	13	chang	chang	PROPN
afs-63668	282	14	,	,	PUNCT
afs-63668	282	15	t.	t.	PROPN
afs-63668	282	16	&	&	CCONJ
afs-63668	282	17	konzak	konzak	PROPN
afs-63668	282	18	,	,	PUNCT
afs-63668	282	19	c.	c.	PROPN
afs-63668	282	20	1974	1974	NUM
afs-63668	282	21	.	.	PUNCT
afs-63668	283	1	a	a	DET
afs-63668	283	2	decimal	decimal	ADJ
afs-63668	283	3	code	code	NOUN
afs-63668	283	4	for	for	ADP
afs-63668	283	5	the	the	DET
afs-63668	283	6	growth	growth	NOUN
afs-63668	283	7	stages	stage	NOUN
afs-63668	283	8	of	of	ADP
afs-63668	283	9	cereals	cereal	NOUN
afs-63668	283	10	.	.	PUNCT
afs-63668	284	1	weed	weed	VERB
afs-63668	284	2	research	research	NOUN
afs-63668	284	3	14	14	NUM
afs-63668	284	4	:	:	PUNCT
afs-63668	284	5	415–421	415–421	NUM
afs-63668	284	6	.	.	PUNCT
afs-63668	285	1	https://doi	https://doi	PROPN
afs-63668	285	2	.	.	PUNCT
afs-63668	285	3	org/10.1111	org/10.1111	PROPN
afs-63668	285	4	/	/	SYM
afs-63668	285	5	j.1365	j.1365	NOUN
afs-63668	285	6	-	-	PUNCT
afs-63668	285	7	3180.1974.tb01084.x	3180.1974.tb01084.x	NUM
afs-63668	285	8	zecha	zecha	NOUN
afs-63668	285	9	,	,	PUNCT
afs-63668	285	10	c.	c.	PROPN
afs-63668	285	11	w.	w.	PROPN
afs-63668	285	12	,	,	PUNCT
afs-63668	285	13	link	link	PROPN
afs-63668	285	14	,	,	PUNCT
afs-63668	285	15	j.	j.	PROPN
afs-63668	285	16	&	&	CCONJ
afs-63668	285	17	claupein	claupein	PROPN
afs-63668	285	18	,	,	PUNCT
afs-63668	285	19	w.	w.	PROPN
afs-63668	285	20	2017	2017	NUM
afs-63668	285	21	.	.	PUNCT
afs-63668	286	1	fluorescence	fluorescence	NOUN
afs-63668	286	2	and	and	CCONJ
afs-63668	286	3	reflectance	reflectance	NOUN
afs-63668	286	4	sensor	sensor	NOUN
afs-63668	286	5	comparison	comparison	NOUN
afs-63668	286	6	in	in	ADP
afs-63668	286	7	winter	winter	NOUN
afs-63668	286	8	wheat	wheat	NOUN
afs-63668	286	9	.	.	PUNCT
afs-63668	287	1	agriculture	agriculture	NOUN
afs-63668	287	2	7	7	NUM
afs-63668	287	3	:	:	SYM
afs-63668	287	4	78	78	NUM
afs-63668	287	5	–	–	PUNCT
afs-63668	287	6	92	92	NUM
afs-63668	287	7	.	.	PUNCT
afs-63668	288	1	https://doi.org/10.3390/agriculture7090078	https://doi.org/10.3390/agriculture7090078	PROPN
afs-63668	288	2	agricultural	agricultural	ADJ
afs-63668	288	3	and	and	CCONJ
afs-63668	288	4	food	food	NOUN
afs-63668	288	5	science	science	PROPN
afs-63668	288	6	k.	k.	PROPN
afs-63668	288	7	piikki	piikki	PROPN
afs-63668	288	8	&	&	CCONJ
afs-63668	288	9	b.	b.	PROPN
afs-63668	288	10	stenberg	stenberg	PROPN
afs-63668	288	11	(	(	PUNCT
afs-63668	288	12	2017	2017	NUM
afs-63668	288	13	)	)	PUNCT
afs-63668	288	14	26	26	NUM
afs-63668	288	15	:	:	PUNCT
afs-63668	288	16	appendix	appendix	NOUN
afs-63668	288	17	appendix	appendix	VERB
afs-63668	288	18	a	a	DET
afs-63668	288	19	list	list	NOUN
afs-63668	288	20	of	of	ADP
afs-63668	288	21	field	field	NOUN
afs-63668	288	22	trials	trial	NOUN
afs-63668	288	23	included	include	VERB
afs-63668	288	24	.	.	PUNCT
afs-63668	289	1	more	more	ADJ
afs-63668	289	2	information	information	NOUN
afs-63668	289	3	on	on	ADP
afs-63668	289	4	the	the	DET
afs-63668	289	5	individual	individual	ADJ
afs-63668	289	6	experiments	experiment	NOUN
afs-63668	289	7	can	can	AUX
afs-63668	289	8	be	be	AUX
afs-63668	289	9	obtained	obtain	VERB
afs-63668	289	10	from	from	ADP
afs-63668	289	11	the	the	DET
afs-63668	289	12	field	field	NOUN
afs-63668	289	13	trial	trial	NOUN
afs-63668	289	14	database	database	NOUN
afs-63668	289	15	run	run	VERB
afs-63668	289	16	by	by	ADP
afs-63668	289	17	the	the	DET
afs-63668	289	18	field	field	NOUN
afs-63668	289	19	research	research	NOUN
afs-63668	289	20	unit	unit	NOUN
afs-63668	289	21	at	at	ADP
afs-63668	289	22	the	the	DET
afs-63668	289	23	swedish	swedish	PROPN
afs-63668	289	24	university	university	PROPN
afs-63668	289	25	of	of	ADP
afs-63668	289	26	agricultural	agricultural	ADJ
afs-63668	289	27	sciences	science	NOUN
afs-63668	289	28	(	(	PUNCT
afs-63668	289	29	http://www.slu.se/	http://www.slu.se/	NOUN
afs-63668	289	30	faltforsk	faltforsk	NOUN
afs-63668	289	31	)	)	PUNCT
afs-63668	289	32	.	.	PUNCT
afs-63668	290	1	each	each	DET
afs-63668	290	2	experiment	experiment	NOUN
afs-63668	290	3	has	have	VERB
afs-63668	290	4	a	a	DET
afs-63668	290	5	unique	unique	ADJ
afs-63668	290	6	adb	adb	NOUN
afs-63668	290	7	-	-	PUNCT
afs-63668	290	8	number	number	NOUN
afs-63668	290	9	that	that	PRON
afs-63668	290	10	can	can	AUX
afs-63668	290	11	be	be	AUX
afs-63668	290	12	used	use	VERB
afs-63668	290	13	in	in	ADP
afs-63668	290	14	the	the	DET
afs-63668	290	15	search	search	NOUN
afs-63668	290	16	function	function	NOUN
afs-63668	290	17	of	of	ADP
afs-63668	290	18	the	the	DET
afs-63668	290	19	database	database	NOUN
afs-63668	290	20	:	:	PUNCT
afs-63668	290	21	adb	adb	NOUN
afs-63668	290	22	numbers	number	NOUN
afs-63668	290	23	of	of	ADP
afs-63668	290	24	wheat	wheat	NOUN
afs-63668	290	25	experiments	experiment	NOUN
afs-63668	290	26	:	:	PUNCT
afs-63668	290	27	039884	039884	NUM
afs-63668	290	28	;	;	PUNCT
afs-63668	290	29	039887	039887	NUM
afs-63668	290	30	;	;	PUNCT
afs-63668	290	31	039888	039888	NUM
afs-63668	290	32	;	;	PUNCT
afs-63668	290	33	003a022	003a022	NOUN
afs-63668	290	34	;	;	PUNCT
afs-63668	290	35	03a023	03a023	NUM
afs-63668	290	36	;	;	PUNCT
afs-63668	290	37	03a024	03a024	NOUN
afs-63668	290	38	;	;	PUNCT
afs-63668	290	39	03a025	03a025	NOUN
afs-63668	290	40	;	;	PUNCT
afs-63668	290	41	03a026	03a026	PROPN
afs-63668	290	42	;	;	PUNCT
afs-63668	290	43	03a027	03a027	NOUN
afs-63668	290	44	;	;	PUNCT
afs-63668	290	45	03b100	03b100	PROPN
afs-63668	290	46	;	;	PUNCT
afs-63668	290	47	03b104	03b104	NOUN
afs-63668	290	48	;	;	PUNCT
afs-63668	290	49	03b105	03b105	NOUN
afs-63668	290	50	;	;	PUNCT
afs-63668	290	51	03b110	03b110	NOUN
afs-63668	290	52	;	;	PUNCT
afs-63668	290	53	03b111	03b111	PROPN
afs-63668	290	54	;	;	PUNCT
afs-63668	290	55	03b112	03b112	NOUN
afs-63668	290	56	;	;	PUNCT
afs-63668	290	57	03b113	03b113	NOUN
afs-63668	290	58	;	;	PUNCT
afs-63668	290	59	03b115	03b115	NOUN
afs-63668	290	60	;	;	PUNCT
afs-63668	290	61	03c035	03c035	PROPN
afs-63668	290	62	;	;	PUNCT
afs-63668	290	63	03c046	03c046	NOUN
afs-63668	290	64	;	;	PUNCT
afs-63668	290	65	03c047	03c047	NOUN
afs-63668	290	66	;	;	PUNCT
afs-63668	290	67	03c048	03c048	NOUN
afs-63668	290	68	;	;	PUNCT
afs-63668	290	69	03c049	03c049	NUM
afs-63668	290	70	;	;	PUNCT
afs-63668	290	71	03c050	03c050	PROPN
afs-63668	290	72	;	;	PUNCT
afs-63668	290	73	03d105	03d105	NOUN
afs-63668	290	74	;	;	PUNCT
afs-63668	290	75	03d107	03d107	PROPN
afs-63668	290	76	;	;	PUNCT
afs-63668	290	77	03d126	03d126	NOUN
afs-63668	290	78	;	;	PUNCT
afs-63668	290	79	03d127	03d127	NOUN
afs-63668	290	80	;	;	PUNCT
afs-63668	290	81	03d128	03d128	NOUN
afs-63668	290	82	;	;	PUNCT
afs-63668	290	83	03d130	03d130	NOUN
afs-63668	290	84	;	;	PUNCT
afs-63668	290	85	03d163	03d163	NOUN
afs-63668	290	86	;	;	PUNCT
afs-63668	290	87	003e075	003e075	NUM
afs-63668	290	88	;	;	PUNCT
afs-63668	290	89	03e078	03e078	NUM
afs-63668	290	90	;	;	PUNCT
afs-63668	290	91	03e079	03e079	X
afs-63668	290	92	;	;	PUNCT
afs-63668	290	93	03e080	03e080	NOUN
afs-63668	290	94	;	;	PUNCT
afs-63668	290	95	03e0103	03e0103	PROPN
afs-63668	290	96	;	;	PUNCT
afs-63668	290	97	03e0104	03e0104	NOUN
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afs-63668	290	99	03e0105	03e0105	NUM
afs-63668	290	100	;	;	PUNCT
afs-63668	290	101	03e0106	03e0106	NUM
afs-63668	290	102	;	;	PUNCT
afs-63668	290	103	03e0107	03e0107	NUM
afs-63668	290	104	;	;	PUNCT
afs-63668	290	105	03f008	03f008	NOUN
afs-63668	290	106	;	;	PUNCT
afs-63668	290	107	03f009	03f009	PROPN
afs-63668	290	108	;	;	PUNCT
afs-63668	290	109	03f010	03f010	NOUN
afs-63668	290	110	;	;	PUNCT
afs-63668	290	111	03f011	03f011	NUM
afs-63668	290	112	;	;	PUNCT
afs-63668	290	113	03f012	03f012	NOUN
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afs-63668	290	117	03f094	03f094	NOUN
afs-63668	290	118	;	;	PUNCT
afs-63668	290	119	03f095	03f095	NOUN
afs-63668	290	120	;	;	PUNCT
afs-63668	290	121	03g010	03g010	NOUN
afs-63668	290	122	;	;	PUNCT
afs-63668	290	123	03g014	03g014	NOUN
afs-63668	290	124	;	;	PUNCT
afs-63668	290	125	03g023	03g023	NOUN
afs-63668	290	126	;	;	PUNCT
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afs-63668	290	129	03g027	03g027	PROPN
afs-63668	290	130	;	;	PUNCT
afs-63668	290	131	03h015	03h015	PROPN
afs-63668	290	132	;	;	PUNCT
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afs-63668	290	134	;	;	PUNCT
afs-63668	290	135	03h018	03h018	NOUN
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afs-63668	290	147	03h097	03h097	PROPN
afs-63668	290	148	;	;	PUNCT
afs-63668	290	149	03h102	03h102	NOUN
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afs-63668	290	151	03k016	03k016	PROPN
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afs-63668	290	155	03k082	03k082	NOUN
afs-63668	290	156	;	;	PUNCT
afs-63668	290	157	03k088	03k088	NUM
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afs-63668	290	159	03k089	03k089	NOUN
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afs-63668	290	173	03l110	03l110	NOUN
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afs-63668	290	183	03l116	03l116	PROPN
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afs-63668	290	185	03l118	03l118	NOUN
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afs-63668	290	191	03m081	03m081	NOUN
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afs-63668	290	195	03m084	03m084	NOUN
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afs-63668	290	197	03m088	03m088	PROPN
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afs-63668	290	199	03m091	03m091	PROPN
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afs-63668	290	205	03m094	03m094	NOUN
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afs-63668	290	209	03m097	03m097	NOUN
afs-63668	290	210	;	;	PUNCT
afs-63668	290	211	03m098	03m098	NUM
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afs-63668	290	217	03n091	03n091	PROPN
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afs-63668	290	219	03n092	03n092	NOUN
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afs-63668	290	221	03n098	03n098	NOUN
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afs-63668	290	223	03n099	03n099	NOUN
afs-63668	290	224	;	;	PUNCT
afs-63668	290	225	03n101	03n101	ADJ
afs-63668	290	226	adb	adb	NOUN
afs-63668	290	227	numbers	number	NOUN
afs-63668	290	228	of	of	ADP
afs-63668	290	229	barley	barley	NOUN
afs-63668	290	230	experiments	experiment	NOUN
afs-63668	290	231	:	:	PUNCT
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afs-63668	290	233	;	;	PUNCT
afs-63668	290	234	03c042	03c042	NOUN
afs-63668	290	235	;	;	PUNCT
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afs-63668	290	238	03d092	03d092	PROPN
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afs-63668	290	265	;	;	PUNCT
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afs-63668	290	296	03l128	03l128	NOUN
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afs-63668	290	306	03m117	03m117	ADJ
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afs-63668	290	308	03m118	03m118	PROPN
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afs-63668	290	312	03m120	03m120	ADJ
afs-63668	290	313	;	;	PUNCT
afs-63668	290	314	03m121	03m121	ADJ
afs-63668	290	315	;	;	PUNCT
afs-63668	290	316	03n082	03n082	NUM
afs-63668	290	317	;	;	PUNCT
afs-63668	290	318	03n084	03n084	NOUN
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afs-63668	290	323	;	;	PUNCT
afs-63668	291	1	03n088	03n088	NOUN
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afs-63668	292	1	a	a	DET
afs-63668	292	2	modified	modify	VERB
afs-63668	292	3	delta	delta	NOUN
afs-63668	292	4	yield	yield	NOUN
afs-63668	292	5	approach	approach	NOUN
afs-63668	292	6	for	for	ADP
afs-63668	292	7	estimation	estimation	NOUN
afs-63668	292	8	of	of	ADP
afs-63668	292	9	economicoptimal	economicoptimal	ADJ
afs-63668	292	10	nitrogen	nitrogen	NOUN
afs-63668	292	11	rate	rate	NOUN
afs-63668	292	12	(	(	PUNCT
afs-63668	292	13	eonr	eonr	PROPN
afs-63668	292	14	)	)	PUNCT
afs-63668	292	15	for	for	ADP
afs-63668	292	16	wheat	wheat	NOUN
afs-63668	292	17	(	(	PUNCT
afs-63668	292	18	triticum	triticum	NOUN
afs-63668	292	19	aestivum	aestivum	PROPN
afs-63668	292	20	l.	l.	PROPN
afs-63668	292	21	)	)	PUNCT
afs-63668	292	22	andbarley	andbarley	NOUN
afs-63668	292	23	(	(	PUNCT
afs-63668	292	24	hordeum	hordeum	PROPN
afs-63668	292	25	vulgare	vulgare	PROPN
afs-63668	292	26	l.	l.	PROPN
afs-63668	292	27	)	)	PUNCT
afs-63668	292	28	introduction	introduction	NOUN
afs-63668	292	29	the	the	DET
afs-63668	292	30	eonr	eonr	ADJ
afs-63668	292	31	concept	concept	NOUN
afs-63668	292	32	environmental	environmental	ADJ
afs-63668	292	33	relevance	relevance	NOUN
afs-63668	292	34	of	of	ADP
afs-63668	292	35	eonr	eonr	ADJ
afs-63668	292	36	the	the	DET
afs-63668	292	37	δy	δy	NOUN
afs-63668	292	38	concept	concept	NOUN
afs-63668	292	39	for	for	ADP
afs-63668	292	40	eonr	eonr	ADJ
afs-63668	292	41	prediction	prediction	NOUN
afs-63668	292	42	yield	yield	NOUN
afs-63668	292	43	predictions	prediction	NOUN
afs-63668	292	44	for	for	ADP
afs-63668	292	45	in	in	ADP
afs-63668	292	46	-	-	PUNCT
afs-63668	292	47	season	season	NOUN
afs-63668	292	48	eonr	eonr	ADJ
afs-63668	292	49	predictions	prediction	NOUN
afs-63668	292	50	aim	aim	VERB
afs-63668	292	51	materials	material	NOUN
afs-63668	292	52	and	and	CCONJ
afs-63668	292	53	methods	method	NOUN
afs-63668	292	54	field	field	NOUN
afs-63668	292	55	trial	trial	NOUN
afs-63668	292	56	data	datum	NOUN
afs-63668	292	57	eonr	eonr	ADJ
afs-63668	292	58	calculation	calculation	NOUN
afs-63668	292	59	modification	modification	NOUN
afs-63668	292	60	of	of	ADP
afs-63668	292	61	the	the	DET
afs-63668	292	62	δy	δy	NOUN
afs-63668	292	63	concept	concept	NOUN
afs-63668	292	64	k	k	ADJ
afs-63668	292	65	-	-	ADJ
afs-63668	292	66	fold	fold	ADJ
afs-63668	292	67	cross	cross	ADJ
afs-63668	292	68	-	-	ADJ
afs-63668	292	69	evaluation	evaluation	ADJ
afs-63668	292	70	evaluation	evaluation	NOUN
afs-63668	292	71	measures	measure	NOUN
afs-63668	292	72	simulation	simulation	NOUN
afs-63668	292	73	of	of	ADP
afs-63668	292	74	accuracy	accuracy	NOUN
afs-63668	292	75	loss	loss	NOUN
afs-63668	292	76	caused	cause	VERB
afs-63668	292	77	by	by	ADP
afs-63668	292	78	yield	yield	NOUN
afs-63668	292	79	data	datum	NOUN
afs-63668	292	80	uncertainty	uncertainty	NOUN
afs-63668	292	81	parameterisation	parameterisation	NOUN
afs-63668	292	82	of	of	ADP
afs-63668	292	83	final	final	ADJ
afs-63668	292	84	models	model	NOUN
afs-63668	292	85	software	software	NOUN
afs-63668	292	86	results	result	VERB
afs-63668	292	87	quantifying	quantify	VERB
afs-63668	292	88	variation	variation	NOUN
afs-63668	292	89	finding	find	VERB
afs-63668	292	90	the	the	DET
afs-63668	292	91	best	good	ADJ
afs-63668	292	92	predictor(s	predictor(s	NOUN
afs-63668	292	93	)	)	PUNCT
afs-63668	292	94	simulated	simulate	VERB
afs-63668	292	95	effects	effect	NOUN
afs-63668	292	96	of	of	ADP
afs-63668	292	97	input	input	NOUN
afs-63668	292	98	data	datum	NOUN
afs-63668	292	99	uncertainty	uncertainty	NOUN
afs-63668	292	100	models	model	NOUN
afs-63668	292	101	for	for	ADP
afs-63668	292	102	eonr	eonr	ADJ
afs-63668	292	103	prediction	prediction	NOUN
afs-63668	292	104	discussion	discussion	NOUN
afs-63668	292	105	conclusions	conclusion	VERB
afs-63668	292	106	acknowledgements	acknowledgement	NOUN
afs-63668	292	107	references	reference	NOUN