Crop Mixture Modeling

Crop Mixture Modeling is a computational or mathematical framework that belongs to the class of agricultural modeling methods and is specifically distinguished by its focus on simulating and analyzing the interactions, performance, and productivity of two or more crop species grown in spatial or temporal co-cultivation within the same field environment.

24

Publications

754

Citations

83

Authors

60

Institutions

Publications per year

2017–2026

8

Authors

83

  1. WT
    Walter T. Fédérer

    Cornell University, United States

    3 publications · 61 citations

    3

    h-index

  2. JW
    Jinshuang Wang

    Wuhan University of Technology, China

    2 publications · 31 citations

    2

    h-index

  3. CC
    Christopher C. Mundt

    Oregon State University, United States

    2 publications · 75 citations

    2

    h-index

  4. CF
    Christian Fournier

    Laboratoire d'Ecophysiologie des Plantes sous Stress environnementaux, France

    2 publications · 96 citations

    2

    h-index

  5. QY
    Qian Youzhang

    Jinhua University of Vocational Technology, China

    2 publications · 31 citations

    2

    h-index

1–5 of 83

Venues

  1. Remote Sensing of Environment

    3 publications · 160 citations

    3

    h-index

  2. Theoretical and Applied Genetics

    2 publications · 76 citations

    2

    h-index

  3. Field Crops Research

    2 publications · 62 citations

    2

    h-index

  4. 2

    h-index

  5. American Journal of Agricultural Economics

    2 publications · 124 citations

    2

    h-index

1–5