Interpretable citrus disease classification through GradCAM++ LIME and vision transformer-based deep learning

Abstract Deep learning models are frequently implemented as black boxes, which restricts their application in sensitive sectors such as agriculture, despite their ability to achieve high classification accuracies. To resolve this issue, we introduce a comprehensive interpretability framework that im...

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Główni autorzy:	Nagineni Venkata Sireesha, Gillala Rekha, Venkataramana Guntreddi
Format:	Artigo
Język:	Inglês
Wydane:	Springer 2026-01-01
Seria:	Discover Applied Sciences
Hasła przedmiotowe:	Explainable AI Grad-CAM++ LIME Citrus disease diagnosis Vision transformers Model interpretability
Dostęp online:	https://doi.org/10.1007/s42452-026-08292-y
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