CDPNet: a deformable ProtoPNet for interpretable wheat leaf disease identification
IntroductionAccurate identification of wheat leaf diseases is crucial for food security, but existing prototype-based computer vision models struggle with the scattered nature of lesions in field conditions and lack interpretability. MethodsTo address this, we propose the Contrastive Deformable Prot...
Gorde:
| Egile Nagusiak: | , , , , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Frontiers Media S.A.
2025-11-01
|
| Saila: | Frontiers in Plant Science |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1676798/full |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|