Pomegranate disease diagnosis with severity estimation and treatment remedies using deep learning and RAG-based LLM

Abstract Pomegranate cultivation faces significant challenges due to fruit diseases that significantly impact crop yield and farmer income. Traditional methods for disease detection are often slow and prone to errors, delaying timely intervention. This paper proposes a deep learning-based system for...

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Bibliografiske detaljer

Principais autores:	A. R. Revathi, A. Arockia Agash
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2025-11-01
Serier:	Scientific Reports
Fag:	Pomegranate disease detection Convolutional neural networks Transfer learning Grad-CAM ++  Mahalanobis distance Retrieval-augmented generation
Online adgang:	https://doi.org/10.1038/s41598-025-25160-8
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