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Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Crop yield was 50–75% greater in green zones than other zones.

Outcome
crop yielde0
Direction
greatere0
Value
50–75%e0
Comparator
the other zonese0
Setting
green zonese0

Not reportedTaxon

Verbatim

e0

“The crop yield is also 50–75% greater in green zones than in the other zones”

✓ located verbatim in the source · abstract, characters 1093–1169

Title

Consequences of Koshi flood 2008 in terms of sedimentation characteristics and agricultural practices

K. R. Kafle; S. N. Khanal; R. K. Dahal Geoenvironmental Disasters 2017. doi:10.1186/s40677-017-0069-x

Other claims from this paper (4)
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Low yield, harvest or production zones had significantly lower mean disease economic losses than high zones.

Taxon
SoybeanGlycine maxt0
Outcome
mean economic losses due to diseasese0
Direction
lowere0
Comparator
high yield/harvest/production zonese0
Setting
Low yield/harvest/production zonese0

Verbatim

e0

“Low yield/harvest/production zones had significantly lower mean economic losses due to diseases in comparison to high yield/harvest/production zones.”

✓ located verbatim in the source · abstract, characters 1481–1630
t0

“Soybean”

✓ located after whitespace/quote normalisation · title, characters 34–41

Title

Dissecting the economic impact of soybean diseases in the United States over two decades

Ananda Y. Bandara; Dilooshi K. Weerasooriya; Carl A. Bradley; et al. PLoS ONE 2020. doi:10.1371/journal.pone.0231141

Other claims from this paper (19)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Unstable yield zones occupied almost 47% of cropland.

Outcome
unstable yield zonese0
Value
almost 47%e0

Not reportedTaxon

Verbatim

e0

“unstable yield zones comprised almost 47%”

✓ located verbatim in the source · abstract, characters 513–554

Title

Assessment of yield stability patterns using sentinel-2 over a 7-year period

Svetlana Košánová; Andrej Halabuk; Pavol Kenderessy; et al. Geocarto International 2025. doi:10.1080/10106049.2025.2532529

Other claims from this paper (5)
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Low stable yield zones had lower normalized SOC than high stable and unstable zones.

Taxon
cropt0
Material
Low and stable (LS) yield zonese0
Outcome
normalized SOCe0
Direction
lowere0
Comparator
high and stable (HS) and unstable (US) yield zonese0

Verbatim

e0

“Low and stable (LS) yield zones were statistically lower in normalized SOC when compared to high and stable (HS) and unstable (US) yield zones”

✓ located verbatim in the source · abstract, characters 1628–1770
t0

“crop yields”

✓ located verbatim in the source · title, characters 31–42

Title

Spatial patterns of historical crop yields reveal soil health attributes in US Midwest fields

Ames Fowler; Bruno Basso; Fidel Maureira; et al. Scientific Reports 2024. doi:10.1038/s41598-024-51155-y

Other claims from this paper (5)
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

The N prescription enhances zones with high yield potentials while preventing over-fertilization at zones with low yield potentials.

Taxon
maizeZea mayse1
Outcome
prevents over-fertilization at zones with low yield potentialse2

Not reportedComparator

Verbatim

e1

“N sidedress prescription tool for the US rainfed maize system”

✓ located verbatim in the source · abstract, characters 2732–2793
e2

“The prescription enhances zones with high yield potentials, while prevents over-fertilization at zones with low yield potentials”

✓ located verbatim in the source · abstract, characters 3022–3150

Title

Crop modeling for assessing and mitigating the impacts of extreme climatic events on the US agriculture system

Zhenong Jin Purdue e-Pubs (Purdue University System) 2016

Other claims from this paper (7)
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Yield data can be used to delineate zones for variable management.

Taxon
cropt0
Outcome
delineate zones for variable managemente4

Verbatim

t0

“crop yield zones on hummocky terrain”

✓ located verbatim in the source · title, characters 66–102
e4

“Yield data can be used to delineate zones for variable management”

✓ located verbatim in the source · abstract, characters 1686–1751

Title

Spatial and temporal variability of soil fertility in relation to crop yield zones on hummocky terrain

A. Moulin; D. A. Derksen; Debra L. McLaren; et al. 2002

Other claims from this paper (3)
Observationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Weeded zones had no significant yield losses.

Outcome
Yield lossese0
Setting
weeded zonese0

Not reportedTaxon

Verbatim

e0

“Yield losses were not significant in weeded zones”

✓ located verbatim in the source · abstract, characters 516–565

Title

Les pertes de rendement sont atténuées en présence d’une diversité d’adventices.

Cordeau, Stéphane; Munier-Jolain, Nicolas; Adeux, Guillaume HAL (Le Centre pour la Communication Scientifique Directe) 2021. doi:10.15454/en10-2v70

Other claims from this paper (4)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

NDVI derived zones differentiated grape maturity and quality more effectively than yield map zones.

Outcome
differentiate grape maturity and quality variablese0
Direction
more effectivee0
Comparator
zones derived from the yield mapse0

Not reportedTaxon

Verbatim

e0

“the zones derived from the NDVI maps are more effective to differentiate grape maturity and quality variables than the zones derived from the yield maps”

✓ located verbatim in the source · abstract, characters 1192–1344

Title

Analysis of vineyard differential management zones and relation to vine development, grape maturity and quality

J. A. Martinez-Casasnovas; J. Agelet-Fernandez; J. Arno; et al. Spanish Journal of Agricultural Research 2012. doi:10.5424/sjar/2012102-370-11

Other claims from this paper (1)
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Low altitude zones had greater root yield than mid altitude zones.

Outcome
root yielde1
Direction
highere0
Value
13.6 t/hae0
Comparator
mid (8.5 t/ha) altitude zonese0
Setting
low altitude zonese0

Verbatim

e0

“It was significantly (P  0.05) higher (13.6 t/ha) in the low altitude zones than in the mid (8.5 t/ha) altitude zones.”

✓ located verbatim in the source · abstract, characters 1139–1258
t0

“cassava”

✓ located verbatim in the source · title, characters 39–46
e1

“The overall mean root yield”

✓ located verbatim in the source · abstract, characters 968–995

Title

The contibutions of soil properties to cassava yield parameters in Sub-Saharan Africa

C L Asadu; F I Nweke; A G Dixen Agro-Science 2007. doi:10.4314/as.v6i1.1551

Other claims from this paper (14)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Three NDVI zones better represented yield variability.

Taxon
cropt0
Outcome
yield variabilitye0
Direction
bettere0
Value
three NDVI-based zonese0

Verbatim

e0

“three NDVI-based zones better represented yield variability”

✓ located verbatim in the source · abstract, characters 1030–1089
t0

“crop”

✓ located verbatim in the source · title, characters 129–133

Title

Combining electromagnetic induction and satellite-based NDVI data for improved determination of management zones for sustainable crop production

Salar Saeed Dogar; Cosimo Brogi; Dave O'Leary; et al. SOIL 2025. doi:10.5194/soil-11-655-2025

Other claims from this paper (3)

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