Autonomous Weed Control

Autonomous Weed Control is an agricultural robotics methodology that enables unmanned systems to identify, target, and eliminate weeds without human intervention, distinguishing itself from conventional approaches through its integration of real-time perception, decision-making, and actuation within dynamic farming environments.

98

Publications

5.8K

Citations

375

Authors

127

Institutions

Publications per year

2017–2026

63

Authors

375

  1. DC
    David C. Slaughter

    University of California, Davis, United States

    5 publications · 579 citations

    5

    h-index

  2. HS
    H.T. Søgaard

    Aarhus University, Denmark

    4 publications · 277 citations

    4

    h-index

  3. PL
    Philipp Lottes

    University of Bonn, Germany

    4 publications · 351 citations

    4

    h-index

  4. MN
    Michael Nørremark

    Aarhus University, Denmark

    4 publications · 227 citations

    4

    h-index

  5. GC
    Girish Chowdhary

    University of Illinois Urbana-Champaign, United States

    4 publications · 689 citations

    4

    h-index

1–5 of 375

Venues

  1. Computers and Electronics in Agriculture

    6 publications · 412 citations

    6

    h-index

  2. Biosystems Engineering

    4 publications · 498 citations

    4

    h-index

  3. Precision Agriculture

    4 publications · 365 citations

    4

    h-index

  4. Sensors

    4 publications · 195 citations

    4

    h-index

  5. AgriEngineering

    2 publications · 56 citations

    3

    h-index

1–5