Yield Model Validation Over Time

Yield Model Validation Over Time is a methodological process in agricultural and environmental modeling that systematically assesses the temporal robustness of crop yield predictions by comparing model outputs against observed historical yield data across multiple growing seasons to evaluate consistency, reliability, and adaptive accuracy under evolving climatic and agronomic conditions.

21

Publications

1.2K

Citations

72

Authors

39

Institutions

Publications per year

2017–2026

8

Authors

72

  1. EJ
    E. J. Sadler

    Agricultural Research Service, United States

    2 publications · 72 citations

    2

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  2. DE
    David E. Stooksbury

    University of Georgia, United States

    2 publications · 72 citations

    2

    h-index

  3. LO
    Linda O. Mearns

    NSF National Center for Atmospheric Research, United States

    2 publications · 72 citations

    2

    h-index

  4. GH
    Gerrit Hoogenboom

    University of Florida, United States

    2 publications · 446 citations

    2

    h-index

  5. TM
    T. Mavromatis

    Aristotle University of Thessaloniki, Greece

    2 publications · 72 citations

    2

    h-index

1–5 of 72

Venues

  1. Agronomy

    2 publications · 52 citations

    2

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  2. Field Crops Research

    2 publications · 89 citations

    2

    h-index

  3. Agronomy Journal

    2 publications · 72 citations

    2

    h-index

  4. Earth Interactions

    EI · 1 publications · 193 citations

    1

    h-index

  5. AGU Fall Meeting Abstracts

    1 publications · 20 citations

    1

    h-index

1–5