Grid-based Crop Simulation

Grid-Based Crop Simulation is a spatial crop modeling method that partitions the landscape into a regular grid of cells, wherein crop growth processes are simulated independently within each cell using localized biophysical and environmental inputs to capture spatial heterogeneity in agricultural productivity.

60

Publications

5.2K

Citations

283

Authors

168

Institutions

Publications per year

2017–2026

25

Authors

283

  1. GH
    Graeme Hammer

    The University of Queensland, Australia

    5 publications · 2.1K citations

    5

    h-index

  2. HY
    Hong Yang

    Swiss Federal Institute of Aquatic Science and Technology, Switzerland

    4 publications · 511 citations

    4

    h-index

  3. AR
    Ashwan Reddy

    University of Maryland, College Park, United States

    4 publications · 523 citations

    4

    h-index

  4. HM
    Holger Meinke

    University of Tasmania, Australia

    4 publications · 427 citations

    4

    h-index

  5. CD
    Curtis D. Jones

    University of Maryland, College Park, United States

    4 publications · 523 citations

    4

    h-index

1–5 of 283

Venues

  1. Ecological Modelling

    7 publications · 149 citations

    7

    h-index

  2. Computers and Electronics in Agriculture

    5 publications · 252 citations

    5

    h-index

  3. European Journal of Agronomy

    5 publications · 450 citations

    5

    h-index

  4. Environmental Modelling & Software

    5 publications · 2K citations

    5

    h-index

  5. Agricultural Systems

    4 publications · 366 citations

    4

    h-index

1–5