ENet-CAEM: a field strawberry disease identification model based on improved EfficientNetB0 and multiscale attention mechanism
The proposed ENet-CAEM model shows superior accuracy and robustness over existing methods, providing an effective solution for strawberry disease recognition in practical field environments.
Authors
- Honghui Li (ORCID: https://orcid.org/0009-0003-3436-7150)
- Jen‐Yao Chang (ORCID: https://orcid.org/0000-0001-5375-3151)
- Xueliang Fu
- Yuanyuan Jiao (ORCID: https://orcid.org/0009-0008-5254-716X)
Institutions
- Inner Mongolia Agricultural University (CN)
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-12-01
- DOI
- https://doi.org/10.3389/fpls.2025.1701740
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00