Field-based Weed Recognition

Field-Based Weed Recognition is a methodological framework within turfgrass science that enables the identification of weed species directly in situ through observable morphological and ecological characteristics, distinguishing it from greenhouse-controlled or laboratory-based identification approaches by its reliance on real-time, field-specific environmental contexts and phenotypic expressions.

27

Publications

1.9K

Citations

123

Authors

39

Institutions

Publications per year

2017–2026

14

Authors

123

  1. GP
    Gonzalo Pájares

    Universidad Complutense de Madrid, Spain

    2 publications · 349 citations

    2

    h-index

  2. JM
    Josep M. Guerrero

    Aalborg University, Denmark

    2 publications · 349 citations

    2

    h-index

  3. MM
    M. Montalvo

    Universidad Complutense de Madrid, Spain

    2 publications · 349 citations

    2

    h-index

  4. JD
    José Dorado

    Instituto de Ciencias Agrarias, Spain

    2 publications · 65 citations

    2

    h-index

  5. DA
    Dionisio Andújar

    Centre for Automation and Robotics, Spain

    2 publications · 65 citations

    2

    h-index

1–5 of 123

Venues

  1. Computers and Electronics in Agriculture

    6 publications · 894 citations

    6

    h-index

  2. Expert Systems with Applications

    2 publications · 349 citations

    2

    h-index

  3. Crop Protection

    2 publications · 62 citations

    2

    h-index

  4. Biosystems Engineering

    1 publications · 39 citations

    1

    h-index

  5. Socio-Environmental Systems Modeling

    SESMO · 1 publications · 118 citations

    1

    h-index

1–5