DSA-net: a lightweight and efficient deep learning-based model for pea leaf disease identification
The proposed approach will help with future edge device deployments. The current proposed technique considerably enhances the diagnostic accuracy of pea leaf diseases and has significant promotion and application potential in agriculture.
Authors
- Laixiang Xu (ORCID: https://orcid.org/0000-0001-5412-7689)
- Wenwen Huang (ORCID: https://orcid.org/0000-0002-0926-4083)
- Fengyan Zhai
- Zhaopeng Cai (ORCID: https://orcid.org/0000-0002-7546-290X)
- Junmin Zhao
- Yiru Duan
Institutions
- Henan University of Urban Construction (CN)
- Henan Institute of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-08-28
- DOI
- https://doi.org/10.3389/fpls.2025.1642453
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00