Image-based Crop Scouting

Image-Based Crop Scouting is a precision agriculture method that uses digital image acquisition and analysis to identify and assess crop stress, pests, and diseases in situ, distinguishing it from traditional scouting by enabling non-invasive, high-throughput, and spatially explicit crop condition monitoring.

8

Publications

866

Citations

48

Authors

24

Institutions

Publications per year

2017–2026

8

Authors

48

  1. RN
    Rebecca Nelson

    Cornell University, United States

    2 publications · 590 citations

    2

    h-index

  2. HL
    Hod Lipson

    Cornell University, United States

    2 publications · 590 citations

    2

    h-index

  3. TW
    Tyr Wiesner‐Hanks

    Cornell University, United States

    2 publications · 590 citations

    2

    h-index

  4. EL
    Ethan L. Stewart

    Cornell University, United States

    2 publications · 590 citations

    2

    h-index

  5. CD
    Chad DeChant

    Columbia University, United States

    2 publications · 590 citations

    2

    h-index

1–5 of 48

Venues

  1. BMC Research Notes

    1 publications · 164 citations

    1

    h-index

  2. Plant Disease

    1 publications · 52 citations

    1

    h-index

  3. Journal of Economic Entomology

    1 publications · 42 citations

    1

    h-index

  4. Computers and Electronics in Agriculture

    1 publications · 95 citations

    1

    h-index

  5. Phytopathology

    1 publications · 426 citations

    1

    h-index

1–5