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
57
A Deep Learning Approach for Weed Detection in Lettuce Crops Using Multispectral Images
Kavir Osorio, César Pedraza, David Jamaica et al. · AgriEngineering · 2020 · 232 citations · Full text
Agriculture, Agronomy, Crop Sciences +17
Francisco Javier Mesas‐Carrascosa, Jorge Torres‐Sánchez, Inmaculada Clavero Rumbaó et al. · Remote Sensing · 2015 · 150 citations · Full text
Agriculture, Agronomy, Crop Sciences +17
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Instituto de Agricultura Sostenible
Córdoba, Spain
5 h-index
15 publications
1.7K citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
5 h-index
29 publications
1.5K citations
South East European Research Centre
Thessaloniki, Greece
4 h-index
4 publications
234 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
9 publications
351 citations
Institut Agro Dijon
Dijon, France
3 h-index
12 publications
993 citations
Mississippi State University
Starkville, United States
2 h-index
8 publications
284 citations
University of Idaho
Moscow, United States
2 h-index
7 publications
288 citations
Hellenic Agency for Local Development and Local Government
Thessaloniki, Greece
2 h-index
2 publications
78 citations
1–8 of 74
8 publications · 284 citations
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5 publications · 345 citations
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4 publications · 280 citations
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4 publications · 585 citations
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2 publications · 84 citations
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