Ground Truth Verification

Ground Truth Verification is a methodological process in agricultural data science that establishes the accuracy and reliability of crop yield measurements by comparing observed data against independently validated, high-fidelity reference data obtained through direct, empirical field assessments.

1.4K

Publications

85.1K

Citations

6.5K

Authors

1.9K

Institutions

Publications per year

2017–2026

578

Authors

6.5K

  1. AK
    Anil K. Jain

    Michigan State University, United States

    5 publications · 1.4K citations

    5

    h-index

  2. SL
    Shunlin Liang

    University of Maryland, College Park, United States

    5 publications · 393 citations

    5

    h-index

  3. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    4 publications · 635 citations

    4

    h-index

  4. AB
    Alexander Berk

    Spectral Sciences (United States), United States

    4 publications · 506 citations

    4

    h-index

  5. HE
    Haikal El Abed

    Technische Universität Braunschweig, Germany

    4 publications · 245 citations

    4

    h-index

1–5 of 6.5K

Venues

  1. Remote Sensing

    42 publications · 1.8K citations

    26

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 21 publications · 2.2K citations

    20

    h-index

  3. 19

    h-index

  4. International Journal of Remote Sensing

    23 publications · 1.2K citations

    19

    h-index

  5. 17

    h-index

1–5