Vision-based Weeding

Vision-Based Weeding is a robotic weeding method that uses visual perception systems to distinguish and target weeds from crops through image analysis and recognition algorithms.

111

Publications

6K

Citations

400

Authors

122

Institutions

Publications per year

2017–2026

75

Authors

400

  1. CS
    Cyrill Stachniss

    University of Bonn, Germany

    6 publications · 677 citations

    6

    h-index

  2. PL
    Philipp Lottes

    University of Bonn, Germany

    5 publications · 646 citations

    5

    h-index

  3. CZ
    Chunlong Zhang

    China Agricultural University, China

    4 publications · 110 citations

    4

    h-index

  4. ÁR
    Ángela Ribeiro

    Centre for Automation and Robotics, Spain

    4 publications · 203 citations

    4

    h-index

  5. GP
    Gonzalo Pájares

    Universidad Complutense de Madrid, Spain

    4 publications · 257 citations

    4

    h-index

1–5 of 400

Venues

  1. Computers and Electronics in Agriculture

    9 publications · 1K citations

    9

    h-index

  2. Biosystems Engineering

    5 publications · 573 citations

    5

    h-index

  3. Sensors

    4 publications · 151 citations

    4

    h-index

  4. Frontiers in Plant Science

    4 publications · 125 citations

    4

    h-index

  5. Journal of Field Robotics

    JFR · 4 publications · 458 citations

    4

    h-index

1–5