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
27
Support Vector Machines for crop/weeds identification in maize fields
Josep M. Guerrero, Gonzalo Pájares, M. Montalvo et al. · Expert Systems with Applications · 2012 · 267 citations
Agriculture, Agronomy, Crop Sciences +16
1–5 of 27
123
2
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2
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2
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2
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2
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1–5 of 123
39
Consejo Superior de Investigaciones Científicas
Madrid, Spain
3 h-index
11 publications
450 citations
Universidad Complutense de Madrid
Madrid, Spain
2 h-index
10 publications
1.7K citations
Software (Spain)
Tres Cantos, Spain
2 h-index
8 publications
1.4K citations
Centre for Automation and Robotics
Arganda, Spain
2 h-index
2 publications
92 citations

South China Agricultural University
Guangzhou, China
2 h-index
9 publications
272 citations
Instituto de Ciencias Agrarias
Madrid, Spain
2 h-index
6 publications
195 citations
Shandong Agricultural University
Tai’an, China
1 h-index
3 publications
96 citations
Northeast Agricultural University
Harbin, China
1 h-index
4 publications
44 citations
1–8 of 39
6 publications · 894 citations
6
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2 publications · 349 citations
2
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2 publications · 62 citations
2
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1 publications · 39 citations
1
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SESMO · 1 publications · 118 citations
1
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1–5