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IoT-Based CNN for Early Rice Disease Detection by tusharchaudhary0073 is a document available to read on EtoBox.

What is IoT-Based CNN for Early Rice Disease Detection about?

This paper presents an IoT-based intelligent farming model utilizing Convolutional Neural Networks (CNN) for early detection of Brown spot disease in rice paddy, which significantly reduces crop losses. The model achieves an accuracy of 97.701% and includes a mobile app for farmers to monitor crop health in real-time. The research highlights the potential of integrating deep learning with smart farming practices to enhance agricultural productivity and food security.

Author

tusharchaudhary0073

Language

EN