Yield Variability Modeling
Yield Variability Modeling is a statistical methodology that quantifies spatial and temporal fluctuations in crop yields within harvest zoning and underwriting for agricultural risks, distinguishing itself by integrating environmental, agronomic, and economic factors to predict yield uncertainty at field to regional scales.
368
Publications
17.9K
Citations
1.3K
Authors
521
Institutions
Publications per year
2017–2026
115
368
Diverging importance of drought stress for maize and winter wheat in Europe
Heidi Webber, Frank Ewert, Jørgen E. Olesen et al. · Nature Communications · 2018 · 402 citations · Full text
Agriculture, Agronomy, Crop Sciences +17
1–5 of 368
1.3K
10
h-index
10
h-index
Potsdam Institute for Climate Impact Research, Germany
9 publications · 1.2K citations
9
h-index
8
h-index
8
h-index
1–5 of 1.3K
521
Wageningen University & Research
Wageningen, The Netherlands
18 h-index
63 publications
3.6K citations
University of Florida
Gainesville, United States
15 h-index
30 publications
2.8K citations

Potsdam Institute for Climate Impact Research
Potsdam, Germany
13 h-index
25 publications
2.7K citations
Leibniz Centre for Agricultural Landscape Research
Müncheberg, Germany
12 h-index
31 publications
5.1K citations
University of Bonn
Bonn, Germany
11 h-index
26 publications
4.6K citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
11 h-index
27 publications
1.6K citations

Goddard Institute for Space Studies
New York, United States
10 h-index
19 publications
2.3K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
18 publications
1.4K citations
1–8 of 521
18 publications · 1.3K citations
17
h-index
20 publications · 1.3K citations
17
h-index
13 publications · 1.2K citations
13
h-index
17 publications · 1.1K citations
13
h-index
12 publications · 520 citations
12
h-index
1–5