Drone-based Weed Monitoring

Drone-Based Weed Monitoring is a remote sensing methodology that employs unmanned aerial vehicles equipped with imaging sensors to detect, map, and analyze weed infestations in agricultural fields, distinguished by its use of drone platforms for high-resolution, spatially precise, and timely data acquisition compared to traditional ground-based or satellite-based approaches.

23

Publications

1.5K

Citations

125

Authors

55

Institutions

Publications per year

2017–2026

20

Authors

125

  1. RA
    Raymond Ajekwe

    Weihenstephan-Triesdorf University of Applied Sciences, Germany

    2 publications · 126 citations

    2

    h-index

  2. MG
    Michael Grieb

    Weihenstephan-Triesdorf University of Applied Sciences, Germany

    2 publications · 126 citations

    2

    h-index

  3. DG
    Dominik G. Grimm

    Weihenstephan-Triesdorf University of Applied Sciences, Germany

    2 publications · 126 citations

    2

    h-index

  4. NG
    Nikita Genze

    Weihenstephan-Triesdorf University of Applied Sciences, Germany

    2 publications · 126 citations

    2

    h-index

  5. JS
    Juan Sandino

    Queensland University of Technology, Australia

    1 publications · 16 citations

    1

    h-index

1–5 of 125

Venues

  1. Computers and Electronics in Agriculture

    4 publications · 233 citations

    4

    h-index

  2. Precision Agriculture

    2 publications · 217 citations

    2

    h-index

  3. Agriculture

    2 publications · 140 citations

    2

    h-index

  4. Remote Sensing

    2 publications · 66 citations

    2

    h-index

  5. 1

    h-index

1–5