Imaging-based Seed Identification
Imaging-Based Seed Identification is a methodological framework within seed identification that utilizes digital imaging technologies and computational analysis to characterize and classify seeds based on morphological and textural features extracted from visual data.
113
Publications
4.1K
Citations
449
Authors
160
Institutions
Publications per year
2017–2026
70
Parents
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Hyperspectral imaging as a powerful tool for identification of papaya seeds in black pepper
Imer Orrillo, J.P. Cruz‐Tirado, Alicia Cardenas et al. · Food Control · 2019 · 121 citations
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Zhejiang University
Hangzhou, China
11 h-index
36 publications
1.9K citations
China Agricultural University
Beijing, China
8 h-index
41 publications
1.4K citations
Ministry of Agriculture and Rural Affairs
Beijing, China
8 h-index
30 publications
1.3K citations

Hefei University of Technology
Hefei, China
4 h-index
16 publications
439 citations
National Engineering Research Center for Information Technology in Agriculture
Beijing, China
4 h-index
17 publications
381 citations
Rice Research Institute
Guangzhou, China
4 h-index
7 publications
201 citations
Anhui Academy of Agricultural Sciences
Hefei, China
4 h-index
7 publications
201 citations

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
5 publications
151 citations
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8 publications · 510 citations
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6 publications · 272 citations
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