Field-scale Yield Mapping

Field-Scale Yield Mapping is a remote sensing-based agricultural monitoring technique that generates spatially explicit representations of crop productivity at the individual field level by integrating in-situ measurements, spectral indices, and geospatial modeling to delineate within-field yield variability for precision farming applications.

286

Publications

18.5K

Citations

1.1K

Authors

404

Institutions

Publications per year

2017–2026

144

Authors

1.1K

  1. DB
    David B. Lobell

    Stanford University, United States

    15 publications · 2.4K citations

    14

    h-index

  2. AK
    Alexandra Kravchenko

    Michigan State University, United States

    5 publications · 735 citations

    5

    h-index

  3. JH
    Jianxi Huang

    China Agricultural University, China

    4 publications · 439 citations

    5

    h-index

  4. GA
    George Azzari

    Stanford University, United States

    5 publications · 935 citations

    5

    h-index

  5. RM
    R. M. Lark

    Rothamsted Research, United Kingdom

    5 publications · 206 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Agronomy Journal

    23 publications · 2.7K citations

    21

    h-index

  2. Precision Agriculture

    18 publications · 773 citations

    17

    h-index

  3. Remote Sensing

    17 publications · 928 citations

    15

    h-index

  4. Computers and Electronics in Agriculture

    10 publications · 405 citations

    12

    h-index

  5. Remote Sensing of Environment

    11 publications · 2.4K citations

    12

    h-index

1–5