Rice Plant Disease Detection Using CNN | Deep Learning Final Year Project | CS619

Rice Plant Disease Detection Using CNN | Deep Learning Final Year Project | CS619
This project uses a Convolutional Neural Network (CNN) to detect diseases in rice plant leaves through image processing and deep learning. The system identifies infections like bacterial leaf blight, blast, and brown spot with high accuracy. Ideal for agriculture automation, AI-based disease detection, and CS619 final year projects. The model is trained using labeled datasets and can be integrated with a web or mobile interface for farmers and researchers.

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