Input-response Modeling

Input-Response Modeling is a predictive modeling framework that characterizes the relationship between variable agricultural inputs and crop response outcomes to optimize seeding rates within the context of site-specific management.

34

Publications

1.3K

Citations

104

Authors

67

Institutions

Publications per year

2017–2026

8

Authors

104

  1. LR
    Lajpat R. Ahuja

    Agricultural Research Service, United States

    2 publications · 62 citations

    2

    h-index

  2. LM
    Liwang Ma

    Agricultural Research Service, United States

    2 publications · 62 citations

    2

    h-index

  3. JR
    Jock R. Anderson

    University of New England, Australia

    2 publications · 53 citations

    2

    h-index

  4. DS
    David S. Bullock

    University of Illinois Urbana-Champaign, United States

    2 publications · 115 citations

    2

    h-index

  5. BJ
    Bryson J. Haverkamp

    Mississippi State University, United States

    1 publications · 44 citations

    1

    h-index

1–5 of 104

Venues

  1. American Journal of Agricultural Economics

    5 publications · 233 citations

    5

    h-index

  2. Agricultural Economics

    2 publications · 56 citations

    2

    h-index

  3. jpa

    2 publications · 247 citations

    2

    h-index

  4. Agricultural Systems

    2 publications · 33 citations

    2

    h-index

  5. AgEcon Search (University of Minnesota, USA)

    Repository · 2 publications · 33 citations

    2

    h-index

1–5