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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)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Models capturing spatial and temporal patterns reduced prediction errors most effectively.

Outcome
prediction errorse0
Direction
reducede0
Comparator
those capable of capturing spatial and temporal patternse0

Verbatim

e0

“those capable of capturing spatial and temporal patterns reduced prediction errors most effectively”

✓ located verbatim in the source · abstract, characters 953–1052
t0

“wheat yield prediction”

✓ located verbatim in the source · title, characters 9–31

Title

Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques

Muhamad Ashfaq; Imran Khan; Rana Fezan Afzal; et al. Scientific Reports 2025. doi:10.1038/s41598-025-02700-w

Other claims from this paper (4)
Mechanismhypothesisoriginal resultmeasured

Claim · model-written summary

Spatial and temporal yield patterns in low-variability cotton fields might be more influenced by weather or other factors across seasons.

Outcome
spatial and temporal yield patternse1
Qualifier
weather or other factors in different growing seasonse1

Verbatim

t0

“Irrigated Cotton Yield in the Southern High Plains”

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

“For fields with low variability in yield, spatial and temporal yield patterns might be more influenced by weather or other factors in different growing seasons”

✓ located verbatim in the source · abstract, characters 1217–1376

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)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

GNNs and LSTMs captured complex spatial and temporal patterns in the potato yield data.

Outcome
capture the complex spatial and temporal patterns in the datae0
Value
high accuracye0

Verbatim

t0

“Potato Crop Yield”

✓ located verbatim in the source · title, characters 11–28
e0

“GNNs and LSTMs not only have the advantage of high accuracy but also capture the complex spatial and temporal patterns in the data”

✓ located verbatim in the source · abstract, characters 1196–1326

Title

Predicting Potato Crop Yield with Machine Learning and Deep Learning for Sustainable Agriculture

El-Sayed M. El-Kenawy; Amel Ali Alhussan; Nima Khodadadi; et al. Potato Research 2024. doi:10.1007/s11540-024-09753-w

Other claims from this paper (8)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

PlanetScope and Sentinel-2 vegetation indices captured similar phenological patterns and spatial and temporal dynamics of grapevines.

Taxon
grapevineVitist0
Outcome
similar phenological patterns and spatial and temporal dynamics of grapevinese1
Direction
similare1
Comparator
Sentinel-2e1

Verbatim

t0

“grapevine”

✓ located verbatim in the source · title, characters 43–52
e1

“Both PlanetScope and Sentinel-2 VIs captured similar phenological patterns and spatial and temporal dynamics of grapevines”

✓ located verbatim in the source · abstract, characters 1392–1514

Title

Assessing spatial and temporal patterns of grapevine vigor and yield using satellite remote sensing

Daniel Kingsley Cudjoe; Yazhou Sun; Justin Scheiner; et al. Frontiers in Horticulture 2026. doi:10.3389/fhort.2026.1816162

Other claims from this paper (12)
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

ECa-based site-specific management is limited to cotton fields with high spatial variability and a strong association between yield and ECa patterns.

Outcome
application of ECa for site-specific managemente1
Qualifier
limited to fields with high spatial variabilitye1

Verbatim

t0

“Irrigated Cotton Yield in the Southern High Plains”

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

“The application of ECa for site-specific management is limited to fields with high spatial variability and with a strong association between yield spatial and temporal patterns and ECa variation patterns”

✓ located verbatim in the source · abstract, characters 1012–1215

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)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The empirical model better represented spatial patterns and temporal trends of wheat yield than LINTUL2 and the metamodel.

Taxon
winter wheatTriticum aestivume0
Outcome
spatial patterns and temporal trends of winter wheat yielde1
Direction
bettere1
Value
R 2 = 70%e1
Comparator
LINTUL2 modele1
Setting
Western Germanye0

Verbatim

e0

“winter wheat yield in Western Germany”

✓ located verbatim in the source · abstract, characters 198–235
e1

“The spatial patterns and temporal trends of winter wheat yield seemed to be better represented by the empirical model (R 2 = 70%, RMSE= 0.48 t ha -1 yr -1 , and CV-RMSE= 8%) than by the LINTUL2 model (R 2 = 65%, RMSE= 0.67 t ha -1 yr -1 , and CV-RMSE=11%) and the metamodel (R 2 = 57%, RMSE= 0.77 t ha -1 yr -1 , and CV-RMSE=13%).”

✓ located verbatim in the source · abstract, characters 551–881

Title

Comparison of Three Modelling Approaches to Simulate Regional Crop Yield: A Case Study of Winter Wheat Yield in Western Germany

Afshin Soltani; Martha Bakker; A. Veldkamp; et al. University of Twente Research Information 2016

Other claims from this paper (5)
Observationobservedoriginal resultmeasured

Claim · model-written summary

At first cut, dry matter and nitrogen yield spatial patterns were well defined and temporally stable.

Taxon
Swardt0
Organ / stage
cut 1e0
Outcome
spatial patterns of DM and N yieldse0

Verbatim

e0

“At cut 1, the spatial patterns of DM and N yields proved to be well defined and temporally stable”

✓ located verbatim in the source · abstract, characters 386–483
t0

“Sward”

✓ located verbatim in the source · title, characters 22–27

Title

Temporal Stability of Sward Dry Matter and Nitrogen Yield Patterns in a Temperate Grassland

Xu Hong 土壤圈(英文版) 2006

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

Claim · model-written summary

NDVI and EVI showed comparable performance at distinguishing spatial and temporal differences among vine vigor zones.

Taxon
grapevineVitist0
Outcome
performance at distinguishing spatial and temporal differences among vine vigor zonese1
Direction
comparablee1
Comparator
EVIe1

Verbatim

t0

“grapevine”

✓ located verbatim in the source · title, characters 43–52
e1

“Both NDVI and EVI showed comparable performance at distinguishing spatial and temporal differences among vine vigor zones”

✓ located verbatim in the source · abstract, characters 1635–1756

Title

Assessing spatial and temporal patterns of grapevine vigor and yield using satellite remote sensing

Daniel Kingsley Cudjoe; Yazhou Sun; Justin Scheiner; et al. Frontiers in Horticulture 2026. doi:10.3389/fhort.2026.1816162

Other claims from this paper (12)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Annual mean precipitation and soil moisture had disagreeing spatial patterns.

Outcome
spatial patterns of annual mean precipitation and soil moisturee0

Verbatim

t0

“Rice Yield”

✓ located verbatim in the source · title, characters 128–138
e0

“the spatial patterns of annual mean precipitation and soil moisture disagree”

✓ located verbatim in the source · abstract, characters 932–1008

Title

Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981–2019): Understanding Their Links to Rice Yield

Luyen K. Bui; Joseph Awange; Dinh Toan Vu Sensors 2022. doi:10.3390/s22051906

Other claims from this paper (4)

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