Image-based Pest Recognition
Image-Based Pest Recognition is a computational method within pest identification that leverages digital image analysis and machine learning techniques to automatically detect and classify pest species from visual data captured during field scouting.
367
Publications
19.3K
Citations
1.3K
Authors
464
Institutions
Publications per year
2017–2026
328
367
1–5 of 367
1.3K
10
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464

Chinese Academy of Sciences
Beijing, China
14 h-index
60 publications
6.3K citations
Institute of Intelligent Machines
Hefei, China
14 h-index
82 publications
8.4K citations

Hefei Institutes of Physical Science
Hefei, China
13 h-index
76 publications
7.1K citations
University of Science and Technology of China
Hefei, China
12 h-index
38 publications
3.5K citations
Ministry of Agriculture and Rural Affairs
Beijing, China
11 h-index
17 publications
1K citations

South China Agricultural University
Guangzhou, China
10 h-index
37 publications
1.6K citations
China Agricultural University
Beijing, China
10 h-index
38 publications
2.5K citations
National Engineering Research Center for Information Technology in Agriculture
Beijing, China
8 h-index
27 publications
2K citations
1–8 of 464
46 publications · 4.9K citations
35
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23 publications · 1.4K citations
19
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13 publications · 1.2K citations
14
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11 publications · 578 citations
13
h-index
7 publications · 265 citations
10
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1–5