Author

J. Rahul

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Conference Aug 2026

XAI-MaizeNet: An Explainable Deep Learning Framework for Transparent and Interpretable Maize Leaf Disease Detection and Classification

Early and precise diagnosis of maize leaf diseases is vital to reduce crop losses and to ensure sustainable farming production. Nevertheless, traditional Deep Learning models are usually “black boxes,” making them unreliable and unpopular in real-world agricultural decision-making processes. To provide transparent and...

K. S. Kumar, Raveendrababu Vempati, J. Rahul · 2026 6th International Confe... · 0 citations

Conference Open access 2026

An Intelligent Edge-AI-Enabled Framework for Maize Disease Detection System Using Deep CNN Models

The proposed work suggests an intelligent Edge-AI-based system of detecting any disease in maize employing deep Convolutional Neural Network (CNN) models to provide the opportunity to detect diseases in real-time with minimum latency and minimum reliance on the cloud.

K. S. Kumar, Raveendrababu Vempati, J. Rahul · ITM Web of Conferences · 0 citations