RFDAF-Net: a novel region-specific feature decoupling and adaptive fusion network for field soybean disease identification in precision agriculture
The proposed framework offers an interpretable and field-ready solution for precision crop protection, demonstrating strong generalization ability and practical utility for real-world agricultural applications.
Authors
- Renyong Pan
- Jian Jun Cao
- Yang Chen
- Qihang Yang
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Guizhou University (CN)
- Institute of Microelectronics (SG)
- Qiannan Normal College For Nationalities (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2026-01-15
- DOI
- https://doi.org/10.3389/fpls.2025.1734292
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00