Crop Response Surface Modeling

Crop Response Surface Modeling is a spatial crop modeling framework that characterizes the multidimensional relationship between crop performance and environmental variables by mathematically representing yield or growth responses as continuous surfaces across gradients of key limiting factors.

35

Publications

1.4K

Citations

184

Authors

80

Institutions

Publications per year

2017–2026

13

Authors

184

  1. FE
    Frank Ewert

    University of Bonn, Germany

    4 publications · 318 citations

    4

    h-index

  2. RP
    Reimund P. Rötter

    University of Göttingen, Germany

    4 publications · 162 citations

    4

    h-index

  3. NP
    Nina Pirttioja

    Finnish Environment Institute, Finland

    4 publications · 315 citations

    4

    h-index

  4. TG
    Thomas Gaiser

    University of Bonn, Germany

    3 publications · 304 citations

    3

    h-index

  5. PH
    Petr Hlavinka

    Mendel University in Brno, Czechia

    3 publications · 304 citations

    3

    h-index

1–5 of 184

Venues

  1. LWT

    3 publications · 277 citations

    3

    h-index

  2. Agricultural Systems

    3 publications · 156 citations

    3

    h-index

  3. European Journal of Agronomy

    2 publications · 75 citations

    2

    h-index

  4. Environmental Modelling & Software

    2 publications · 34 citations

    2

    h-index

  5. Applied Mathematical Modelling

    1 publications · 10 citations

    1

    h-index

1–5