Process-based Yield Models

Process-Based Yield Models is a type of agricultural yield simulation framework that belongs to the class of mechanistic models, distinguished by its explicit representation of biophysical processes such as photosynthesis, respiration, nutrient dynamics, and phenological development to predict crop yield under varying environmental and management conditions.

185

Publications

9.2K

Citations

949

Authors

412

Institutions

Publications per year

2017–2026

75

Authors

949

  1. AC
    Alex C. Ruane

    Goddard Institute for Space Studies, United States

    6 publications · 446 citations

    6

    h-index

  2. CN
    Claas Nendel

    Leibniz Centre for Agricultural Landscape Research, Germany

    6 publications · 750 citations

    6

    h-index

  3. CM
    Christoph Müller

    Potsdam Institute for Climate Impact Research, Germany

    5 publications · 371 citations

    5

    h-index

  4. KC
    Kurt Christian Kersebaum

    Leibniz Centre for Agricultural Landscape Research, Germany

    5 publications · 570 citations

    5

    h-index

  5. CD
    Curtis D. Jones

    University of Maryland, College Park, United States

    4 publications · 263 citations

    4

    h-index

1–5 of 949

Venues

  1. Field Crops Research

    14 publications · 1.3K citations

    14

    h-index

  2. European Journal of Agronomy

    8 publications · 372 citations

    7

    h-index

  3. Agricultural Systems

    6 publications · 650 citations

    6

    h-index

  4. Environmental Research Letters

    ERL · 5 publications · 407 citations

    5

    h-index

  5. Ecological Modelling

    5 publications · 199 citations

    5

    h-index

1–5