Validation Of Yield Models

Validation of Yield Models is the systematic assessment of the accuracy and reliability of remote sensing-based yield prediction models by comparing their outputs to independent, ground-truthed observational data to quantify model performance and generalizability.

68

Publications

2.6K

Citations

266

Authors

141

Institutions

Publications per year

2017–2026

33

Authors

266

  1. JZ
    Jiahua Zhang

    Chinese Academy of Sciences, China

    3 publications · 47 citations

    3

    h-index

  2. AK
    Annika Kangas

    University of Helsinki, Finland

    2 publications · 70 citations

    2

    h-index

  3. PC
    Paulo César Sentelhas

    Universidade de São Paulo, Brazil

    2 publications · 247 citations

    2

    h-index

  4. YB
    Yun Bai

    Chinese Academy of Sciences, China

    2 publications · 34 citations

    2

    h-index

  5. MW
    Melissa W L Chang

    Agri-Food and Veterinary Authority of Singapore, Singapore

    1 publications · 73 citations

    1

    h-index

1–5 of 266

Venues

  1. Remote Sensing

    5 publications · 338 citations

    5

    h-index

  2. Forest Ecology and Management

    4 publications · 121 citations

    4

    h-index

  3. Computers and Electronics in Agriculture

    4 publications · 146 citations

    4

    h-index

  4. Agricultural and Forest Meteorology

    3 publications · 66 citations

    3

    h-index

  5. Field Crops Research

    2 publications · 34 citations

    2

    h-index

1–5