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

Authors

1.3K

  1. SA
    Senthold Asseng

    University of Florida, United States

    10 publications · 675 citations

    10

    h-index

  2. FE
    Frank Ewert

    University of Bonn, Germany

    10 publications · 1.6K citations

    10

    h-index

  3. CM
    Christoph Müller

    Potsdam Institute for Climate Impact Research, Germany

    9 publications · 1.2K citations

    9

    h-index

  4. JO
    Joel O. Paz

    Mississippi State University, United States

    8 publications · 345 citations

    8

    h-index

  5. MV
    M.K. van Ittersum

    Wageningen University & Research, Netherlands

    8 publications · 363 citations

    8

    h-index

1–5 of 1.3K

Venues

  1. Field Crops Research

    18 publications · 1.3K citations

    17

    h-index

  2. Agronomy Journal

    20 publications · 1.3K citations

    17

    h-index

  3. Agricultural and Forest Meteorology

    13 publications · 1.2K citations

    13

    h-index

  4. European Journal of Agronomy

    17 publications · 1.1K citations

    13

    h-index

  5. Agricultural Systems

    12 publications · 520 citations

    12

    h-index

1–5