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Robust multiclass classification of crop leaf diseases using hybrid deep learning and Grad-CAM interpretability

Abstract The key objective of this study is to propose an effective and accurate deep learning (DL) framework to detect and classify diseases in banana, cherry, and tomato leaves. The performance of multiple pre-trained models is compared against a newly presented model.The experiments used a public...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Sankar Murugesan, Jayaprakash Chinnadurai, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Radha Raman Chandan, Usha Moorthy
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2025-08-01
Schriftenreihe:Scientific Reports
Schlagworte:
Plant leaf disease
Classification
ConvNet
Deep learning
Vision transformer
Hybrid ConvNet-ViT
Online-Zugang:https://doi.org/10.1038/s41598-025-14847-7
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