Process-based Crop Modeling

Process-Based Crop Modeling is a type of crop growth simulation model that mechanistically represents physiological and biophysical processes such as photosynthesis, respiration, and phenological development to predict crop performance under varying environmental conditions.

341

Publications

27.4K

Citations

1.3K

Authors

522

Institutions

Publications per year

2017–2026

138

Variants

Mechanistic Crop Modeling

Authors

1.3K

  1. GH
    Gerrit Hoogenboom

    University of Florida, United States

    16 publications · 5.1K citations

    14

    h-index

  2. KJ
    Kenneth J. Boote

    University of Florida, United States

    12 publications · 5.6K citations

    11

    h-index

  3. FE
    Frank Ewert

    University of Bonn, Germany

    9 publications · 556 citations

    9

    h-index

  4. NH
    Neil Huth

    Commonwealth Scientific and Industrial Research Organisation, Australia

    8 publications · 865 citations

    8

    h-index

  5. JW
    James W. Jones

    University of Florida, United States

    8 publications · 1.1K citations

    8

    h-index

1–5 of 1.3K

Venues

  1. European Journal of Agronomy

    26 publications · 7.3K citations

    23

    h-index

  2. Field Crops Research

    21 publications · 1K citations

    19

    h-index

  3. Agricultural Systems

    14 publications · 2.2K citations

    14

    h-index

  4. Ecological Modelling

    15 publications · 742 citations

    14

    h-index

  5. Environmental Modelling & Software

    13 publications · 788 citations

    13

    h-index

1–5