YOLO-PLNet: a lightweight real-time detection model for peanut leaf diseases based on edge deployment
As an important economic crop, peanut is frequently affected by leaf diseases during its growth period, which severely threaten its yield and quality. Therefore, early and accurate disease detection is critical. However, existing lightweight deep learning methods often struggle to balance model size...
Guardat en:
| Autors principals: | , , , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2025-11-01
|
| Col·lecció: | Frontiers in Plant Science |
| Matèries: | |
| Accés en línia: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1707501/full |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|