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What is Project Leaf Disease Detection about?

The Leaf Disease Detection project aims to develop an automated system for identifying and classifying plant diseases using machine learning techniques, achieving over 90% accuracy in detecting various diseases. Utilizing Python, Tensorflow, and a Convolutional Neural Network (CNN), the project processes images of healthy and diseased leaves to assist farmers in early disease detection. The system enhances agricultural productivity by minimizing manual inspections and providing timely disease management sol

Author

skar6086

Language

EN