Weed-crop Discrimination

Weed-Crop Discrimination is a computer vision task in agricultural robotics that involves distinguishing between crop plants and weeds in natural field environments using image-based analysis to enable selective interventions in precision farming.

66

Publications

4.8K

Citations

230

Authors

111

Institutions

Publications per year

2017–2026

29

Authors

230

  1. FT
    Frédéric Truchetet

    Université de Bourgogne, France

    3 publications · 307 citations

    3

    h-index

  2. SO
    Shiv O. Prasher

    McGill University, Canada

    3 publications · 149 citations

    3

    h-index

  3. GP
    Gonzalo Pájares

    Universidad Complutense de Madrid, Spain

    3 publications · 634 citations

    3

    h-index

  4. GJ
    Gawain Jones

    Institut Agro Dijon, France

    3 publications · 307 citations

    3

    h-index

  5. RE
    Robert E. Blackshaw

    Agriculture and Agri-Food Canada, Canada

    3 publications · 89 citations

    3

    h-index

1–5 of 230

Venues

  1. Computers and Electronics in Agriculture

    10 publications · 1.3K citations

    10

    h-index

  2. Biosystems Engineering

    5 publications · 259 citations

    5

    h-index

  3. Precision Agriculture

    3 publications · 141 citations

    3

    h-index

  4. National Remote Sensing Bulletin

    2 publications · 33 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 468 citations

    2

    h-index

1–5