Model-based Plant Identification
Model-Based Plant Identification is a systematic approach within computational plant science that employs formal models—such as machine learning algorithms, morphological templates, or spectral signature profiles—to enable the automated recognition and classification of poisonous weeds by distinguishing diagnostic features from background vegetation.
74
Publications
3.4K
Citations
255
Authors
127
Institutions
Publications per year
2017–2026
24
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Universidade Federal de Mato Grosso do Sul, Brazil
2 publications · 79 citations
2
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1–5 of 255
127

Jadavpur University
Kolkata, India
2 h-index
5 publications
268 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
1 publications
107 citations

Universidade Federal de Mato Grosso do Sul
Campo Grande, Brazil
2 h-index
4 publications
158 citations

Communication University of China
Beijing, China
2 h-index
2 publications
63 citations

Beijing Forestry University
Beijing, China
2 h-index
2 publications
63 citations
University of Southern California
Los Angeles, United States
2 h-index
3 publications
87 citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
74 citations

Universidade de Vigo
Vigo, Spain
2 h-index
9 publications
549 citations
1–8 of 127
2 publications · 63 citations
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Repository · 2 publications · 52 citations
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2 publications · 189 citations
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2 publications · 28 citations
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2 publications · 90 citations
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