Yield Prediction

Yield Prediction is a quantitative modeling task in agronomy and crop science that estimates future crop yield for a given crop, location, and time period based on predictive relationships derived from biophysical, management, environmental, and/or remotely sensed data.

10.1K

Publications

547.5K

Citations

27.9K

Authors

4.7K

Institutions

Publications per year

2017–2026

4.8K

Authors

27.9K

  1. DB
    David B. Lobell

    Stanford University, United States

    63 publications · 16K citations

    50

    h-index

  2. GH
    Gerrit Hoogenboom

    University of Florida, United States

    111 publications · 8.1K citations

    48

    h-index

  3. KJ
    Kenneth J. Boote

    University of Florida, United States

    89 publications · 8.9K citations

    44

    h-index

  4. FE
    Frank Ewert

    University of Bonn, Germany

    72 publications · 11K citations

    43

    h-index

  5. SA
    Senthold Asseng

    University of Florida, United States

    68 publications · 11K citations

    40

    h-index

1–5 of 27.9K

Venues

  1. Agricultural and Forest Meteorology

    268 publications · 25.8K citations

    90

    h-index

  2. Field Crops Research

    367 publications · 31.3K citations

    90

    h-index

  3. Agronomy Journal

    389 publications · 21.8K citations

    75

    h-index

  4. Computers and Electronics in Agriculture

    237 publications · 17.9K citations

    70

    h-index

  5. European Journal of Agronomy

    213 publications · 17.2K citations

    70

    h-index

1–5