Sensor-based Weed Monitoring

Sensor-Based Weed Monitoring is a methodological approach within precision agriculture that employs remote or proximal sensing technologies to detect, identify, and map weed infestations in agricultural fields based on spectral, spatial, or morphological characteristics distinguished from crop and soil backgrounds.

109

Publications

6.4K

Citations

404

Authors

135

Institutions

Publications per year

2017–2026

46

Authors

404

  1. RG
    Roland Gerhards

    University of Hohenheim, Germany

    14 publications · 788 citations

    13

    h-index

  2. DA
    Dionisio Andújar

    Centre for Automation and Robotics, Spain

    11 publications · 724 citations

    11

    h-index

  3. GG
    Gerassimos G. Peteinatos

    University of Hohenheim, Germany

    7 publications · 511 citations

    7

    h-index

  4. JD
    José Dorado

    Instituto de Ciencias Agrarias, Spain

    6 publications · 442 citations

    6

    h-index

  5. CF
    César Fernández‐Quintanilla

    Consejo Superior de Investigaciones Científicas, Spain

    6 publications · 623 citations

    6

    h-index

1–5 of 404

Venues

  1. Sensors

    12 publications · 633 citations

    12

    h-index

  2. Computers and Electronics in Agriculture

    9 publications · 552 citations

    9

    h-index

  3. Weed Research

    8 publications · 647 citations

    8

    h-index

  4. Precision Agriculture

    4 publications · 531 citations

    4

    h-index

  5. Crop Protection

    3 publications · 176 citations

    3

    h-index

1–5