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Open Access

Peer-reviewed

Research Article

Multi-class rice seed recognition based on deep space and channel residual network combined with double attention mechanism

Tingyuan Zhang,

Roles Data curation, Methodology, Writing – original draft

Affiliation Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
⨯
Changsheng Zhang ,

Roles Writing – review & editing

* E-mail: 13674726610@163.com

Affiliation Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China

https://orcid.org/0009-0009-0764-1728

⨯
Zhongyi Yang,

Roles Conceptualization, Writing – review & editing

Affiliation Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, China
⨯
Meng Wang,

Roles Funding acquisition

Affiliation Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
⨯
Fujie Zhang,

Roles Writing – review & editing

Affiliation Faculty of Modern Agriculture Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China
⨯
Dekai Li,

Roles Data curation, Methodology, Writing – review & editing

Affiliation Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
⨯
Sen Yang

Roles Writing – review & editing

Affiliation Department of Computer Science and Technology, West Yunnan University of Applied Sciences, Dali, Yunnan, China
⨯

Multi-class rice seed recognition based on deep space and channel residual network combined with double attention mechanism

Tingyuan Zhang,
Changsheng Zhang,
Zhongyi Yang,
Meng Wang,
Fujie Zhang,
Dekai Li,
Sen Yang

x

Published: May 16, 2025
https://doi.org/10.1371/journal.pone.0322699

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