Field-level Yield Forecasting

Field-Level Yield Forecasting is a geospatially granular agricultural prediction task that estimates crop yield at the individual field level, distinguished from regional or national-scale forecasting by its focus on micro-level variability in environmental, agronomic, and management factors within discrete cultivated fields.

37

Publications

1.9K

Citations

178

Authors

70

Institutions

Publications per year

2017–2026

22

Authors

178

  1. AB
    Andrés Berger

    Instituto Nacional de Investigación Agropecuaria, Uruguay

    2 publications · 120 citations

    2

    h-index

  2. DV
    Deborah V. Gaso

    Instituto Nacional de Investigación Agropecuaria, Uruguay

    2 publications · 120 citations

    2

    h-index

  3. JH
    Jianxi Huang

    China Agricultural University, China

    2 publications · 60 citations

    2

    h-index

  4. BW
    Brett Whelan

    The University of Sydney, Australia

    2 publications · 354 citations

    2

    h-index

  5. AA
    Ahmad Al Bitar

    Centre d'Études Spatiales de la Biosphère, France

    1 publications · 18 citations

    1

    h-index

1–5 of 178

Venues

  1. Agricultural and Forest Meteorology

    5 publications · 212 citations

    5

    h-index

  2. Computers and Electronics in Agriculture

    4 publications · 223 citations

    4

    h-index

  3. European Journal of Agronomy

    4 publications · 350 citations

    4

    h-index

  4. Agricultural Systems

    3 publications · 136 citations

    3

    h-index

  5. Agronomy Journal

    2 publications · 88 citations

    2

    h-index

1–5