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“quantifying temporal variability in yield”

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19902000’10’20
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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

Monsoon onset varied substantially across districts and time in India.

Outcome
large spatial and temporal heterogeneity in the date of monsoon onsete0
Setting
Indiae0

Verbatim

e0

“there is large spatial and temporal heterogeneity in the date of monsoon onset in India at the district level”

✓ located verbatim in the source · abstract, characters 865–974
t0

“Rice”

✓ located verbatim in the source · title, characters 84–88

Title

Monitoring and Quantifying the Variability of Monsoonal Rainfall and its Effects on Rice Yield in South Asia

C. Bowden; Timothy Foster; Brandon Parkes Research Explorer (The University of Manchester) 2020

Other claims from this paper (1)

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