ResViT HybridNet: a fusion of ResNet50 and Vision Transformer for banana leaf disease identification

Banana leaf diseases such as Cordana, Sigatoka, and Pestalotiopsis significantly reduce crop yield and quality, necessitating accurate and early detection for effective management. This study proposes ResViT HybridNet, a novel deep learning framework that integrates ResNet50 for spatial feature extr...

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Hlavní autoři:	Vishnu Kant, Sheifali Gupta, Samar M. Alqhtani, M. A. Elmagzoub, Mana Saleh Al Reshan, Mousa Alalhareth, Asadullah Shaikh
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2026-12-01
Edice:	Automatika
Témata:	Banana leaf disease deep learning ResNet50 Vision Transformer agricultural diagnostics image classification
On-line přístup:	https://www.tandfonline.com/doi/10.1080/00051144.2026.2619264
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