Image-based Pest Detection
Image-Based Pest Detection is a computational method that identifies and classifies pest species in agricultural environments by analyzing visual data captured through imaging technologies, distinguishing itself from other pest detection approaches through its reliance on digital image processing and pattern recognition techniques.
448
Publications
24K
Citations
1.8K
Authors
572
Institutions
Publications per year
2017–2026
369
448
Deep Learning for Image-Based Cassava Disease Detection
Frontiers in Plant Science · 2017 · 680 citations · Full text
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572

Chinese Academy of Sciences
Beijing, China
17 h-index
88 publications
5.7K citations
Institute of Intelligent Machines
Hefei, China
17 h-index
102 publications
7.7K citations

Hefei Institutes of Physical Science
Hefei, China
16 h-index
96 publications
7.4K citations
University of Science and Technology of China
Hefei, China
15 h-index
48 publications
3.5K citations

South China Agricultural University
Guangzhou, China
14 h-index
69 publications
2.7K citations
China Agricultural University
Beijing, China
12 h-index
67 publications
3.4K citations
Ministry of Agriculture and Rural Affairs
Beijing, China
11 h-index
36 publications
2K citations

Anhui University
Hefei, China
10 h-index
26 publications
1.6K citations
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48 publications · 5.8K citations
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28 publications · 2K citations
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15 publications · 893 citations
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