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Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

A theoretical model suggests precision farming can reduce temporal yield variability under plausible circumstances.

Treatment
precision farminge0
Outcome
temporal yield variabilitye0
Direction
reducee0
Qualifier
plausible circumstancese0

Not reportedTaxonComparator

Verbatim

e0

“A theoretical model is presented that suggests that there are plausible circumstances under which precision farming can reduce temporal yield variability.”

✓ located verbatim in the source · abstract, characters 345–499

Title

Risk Management Potential of Precision Farming Technologies

J. Lowenberg-DeBoer Journal of Agricultural and Applied Economics 1999. doi:10.1017/s1074070800008555

Other claims from this paper (1)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Spatial variability was below temporal variability and frequently below 1 mm.

Outcome
Spatial variabilitye0
Direction
less thane0
Value
1 mme0

Verbatim

e0

“Spatial variability was less than temporal variability, and frequently less than 1 mm”

✓ located verbatim in the source · abstract, characters 1234–1319
t0

“crop yield”

✓ located verbatim in the source · title, characters 79–89
e1

“by corn and soybean phenological phase”

✓ located verbatim in the source · abstract, characters 1035–1073

Title

Spatial and temporal precipitation variability as a component of site-specific crop yield variability

M. R. O'Neal Purdue e-Pubs (Purdue University System) 2000

Other claims from this paper (10)
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Temporal variability of crop yield and soil attributes should be considered to delineate management zones accurately.

Taxon
crope0
Outcome
take into account the temporal variability of crop yield and soil attributese0

Verbatim

e0

“it is very important take into account the temporal variability of crop yield and soil attributes to delineate management zones accurately”

✓ located verbatim in the source · abstract, characters 1245–1383

Title

Management zones using fuzzy clustering based on spatial-temporal variability of soil and corn yield

Marcos S. Rodrigues; José E. Corá Engenharia Agrícola 2015. doi:10.1590/1809-4430-eng.agric.v35n3p470-483/2015

Other claims from this paper (3)
Associationobservedoriginal resultsignificant (as stated)simulated

Claim · model-written summary

Temporal variability across sowing times significantly affected soybean yield.

Taxon
soybeanGlycine maxe0
Treatment
different sowing timese0
Outcome
soybean yielde0

Not reportedDirection

Verbatim

e0

“temporal variability associated with different sowing times significantly impacts soybean yield.”

✓ located verbatim in the source · abstract, characters 1077–1173

Title

Why should space-time variability of rainfall be considered in precision agriculture for soybean in Piracicaba, São Paulo state?

Thais Letícia dos Santos; Rafael Battisti; Klaus Reichardt; et al. Scientia Agricola 2025. doi:10.1590/1678-992x-2024-0202

Other claims from this paper (2)
Mechanismauthor interpretationoriginal resultmeasured

Claim · model-written summary

Temporal variability may greatly influence how spatial variability is expressed in a field.

Taxon
Cropt0
Outcome
spatial variabilitye0
Qualifier
Temporal variabilitye0

Verbatim

e0

“Temporal variability may greatly influence how spatial variability is expressed in a given field.”

✓ located verbatim in the source · abstract, characters 1525–1622
t0

“Crop Sequences”

✓ located verbatim in the source · title, characters 50–64

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

Fractal analysis was judged useful for quantifying temporal yield variation.

Taxon
cropse5
Outcome
quantifying temporal variability in yielde5
Qualifier
usefule5

Not reportedComparatorValue

Verbatim

e5

“It appears that fractal analysis is useful in quantifying temporal variability in yield of various crops”

✓ located verbatim in the source · abstract, characters 1973–2077

Title

Fractal Description of Temporal Yield Variability of 10 Crops in the United States

Bahman Eghball; James F. Power Agronomy Journal 1995. doi:10.2134/agronj1995.00021962008700020003x

Other claims from this paper (9)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Sugar and stalk yield response to applied nitrogen showed high spatial and temporal variability.

Taxon
sugarcanee1
Treatment
applied Ne0
Outcome
spatial and temporal variability in sugar and stalk yielde0

Verbatim

e0

“High spatial and temporal variability in sugar and stalk yield to applied N were observed.”

✓ located verbatim in the source · abstract, characters 1490–1580
e1

“In sugarcane”

✓ located verbatim in the source · abstract, characters 148–160

Title

Relation between Early Season–Measured Agronomic Variables and Sugar Yield Responses to Nitrogen

Yumiko Kanke; Brenda Tubaña; Marilyn Dalen; et al. Agronomy Journal 2016. doi:10.2134/agronj2015.0037

Other claims from this paper (5)
Associationobservedoriginal resultmeasured

Claim · model-written summary

High facies patchiness reduced yield or increased its temporal variability and reduced predictability.

Taxon
grain cropse1
Outcome
yielde0
Direction
reducese0
Setting
High facies patchinesse0

Verbatim

e0

“High facies patchiness either reduces yield or increases its temporal variability and reduces predictability.”

✓ located verbatim in the source · abstract, characters 1535–1644
e1

“grain crops”

✓ located verbatim in the source · abstract, characters 13–24

Title

Factors of intra-field phytomass variability in steppe agricultural landscapes of Kazakhstan

F.K. Kiryanov-Gref; A.V. Khoroshev; K.A. Anatskaya Bulletin of the Karaganda University “Biology medicine geography Series” 2024. doi:10.31489/2024bmg1/150-158

Other claims from this paper (6)
Observationobservedoriginal resultmeasured

Claim · model-written summary

The AYM system showed real-time temporal and spatial yield variability classification and quantification in paddy field.

Taxon
paddy crope0
Outcome
real-time temporal and spatial variability classification and quantificatione5
Setting
paddy fielde5

Verbatim

e0

“assess yield variability of paddy crop using automatic yield monitoring (AYM) system”

✓ located verbatim in the source · abstract, characters 25–109
e5

“The AYM system could show the real-time temporal and spatial variability classification and quantification in paddy field”

✓ located verbatim in the source · abstract, characters 833–954

Title

Yield Variability Assessment in Paddy Crop using Automatic Yield Monitoring System

N. S. Chandel; K. N. Agrawal Journal of Agricultural Engineering (India) 2019. doi:10.52151/jae2018551.1687

Other claims from this paper (4)
Associationobservedoriginal resultmeasured

Claim · model-written summary

Fields with high ECa variability showed a stronger association between spatial and temporal yield patterns and ECa.

Treatment
high variability in ECae1
Outcome
association between spatial and temporal yield patterns and ECae1
Direction
strongere1

Verbatim

t0

“Irrigated Cotton Yield in the Southern High Plains”

✓ located verbatim in the source · title, characters 31–81
e1

“Fields with high variability in ECa exhibited a stronger association between spatial and temporal yield patterns and ECa”

✓ located verbatim in the source · abstract, characters 793–913

Title

Spatial and Temporal Trends of Irrigated Cotton Yield in the Southern High Plains

Wenxuan Guo Agronomy 2018. doi:10.3390/agronomy8120298

Other claims from this paper (8)

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