Multispectral Weed Detection

Multispectral Weed Detection is a remote sensing technique that distinguishes weed species from desired vegetation in pasture environments by analyzing reflectance patterns across multiple narrow spectral bands, enabling precise spatial identification of weed infestations.

57

Publications

3.7K

Citations

208

Authors

74

Institutions

Publications per year

2017–2026

28

Authors

208

  1. DM
    Dimitrios Moshou

    Aristotle University of Thessaloniki, Greece

    5 publications · 267 citations

    5

    h-index

  2. AL
    Anastasia L. Lagopodi

    Aristotle University of Thessaloniki, Greece

    5 publications · 267 citations

    5

    h-index

  3. TA
    Thomas Alexandridis

    Aristotle University of Thessaloniki, Greece

    5 publications · 267 citations

    5

    h-index

  4. JM
    José M. Peña

    Instituto de Agricultura Sostenible, Spain

    4 publications · 368 citations

    4

    h-index

  5. JK
    Javid Kashefi

    South East European Research Centre, Greece

    4 publications · 234 citations

    4

    h-index

1–5 of 208

Venues

  1. Weed Technology

    8 publications · 284 citations

    8

    h-index

  2. Computers and Electronics in Agriculture

    5 publications · 345 citations

    5

    h-index

  3. Precision Agriculture

    4 publications · 280 citations

    4

    h-index

  4. Remote Sensing

    4 publications · 585 citations

    4

    h-index

  5. Sensors

    2 publications · 84 citations

    3

    h-index

1–5