Deep Learning-based Identification
Deep Learning-Based Identification is a methodological framework within computational plant science that employs deep neural networks to automatically detect and classify poisonous weeds from visual or spectral data, distinguishing itself from traditional image analysis techniques through its capacity for hierarchical feature learning and end-to-end pattern recognition.
2.3K
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149.2K
Citations
9.6K
Authors
2.5K
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2017–2026
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Deep learning enables rapid identification of potent DDR1 kinase inhibitors
Alex Zhavoronkov, Yan A. Ivanenkov, Alex Aliper et al. · Nature Biotechnology · 2019 · 1.5K citations
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UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations, France
11 publications · 824 citations
11
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UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations, France
10 publications · 760 citations
10
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Chitkara University
Chandigarh, India
29 h-index
94 publications
5.4K citations
Ministry of Agriculture and Rural Affairs
Beijing, China
29 h-index
152 publications
7.8K citations

Chinese Academy of Sciences
Beijing, China
26 h-index
143 publications
5.9K citations

Zhejiang University
Hangzhou, China
25 h-index
132 publications
6.8K citations
China Agricultural University
Beijing, China
24 h-index
106 publications
5.4K citations
Jiangsu University
Zhenjiang, China
23 h-index
90 publications
5.8K citations

Graphic Era University
Dehradun, India
23 h-index
45 publications
1.8K citations
Chinese Academy of Agricultural Sciences
Beijing, China
22 h-index
86 publications
5.8K citations
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105 publications · 19.3K citations
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82 publications · 8.4K citations
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67 publications · 8.3K citations
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46 publications · 2.9K citations
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50 publications · 3.3K citations
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