
Plant Disease Detection Using Convolutional Networks
The plant disease detection project focuses on identifying diseases in plants using image processing and machine learning techniques. By analyzing leaf images, the system detects signs of infections, enabling early intervention. This solution aims to improve agricultural productivity, reduce chemical usage, and support sustainable farming practices through accurate and timely disease diagnosis. We identify among 38 different diseases.
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