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End-to-end implementation and deployment of Deep Learning Cotton Disease Predictor web application created using python, flask, gunicorn, scikit-Learn, Keras, TensorFlow, etc., and deployed on the Heroku web application platform.
Early detection of cotton disease using AI-based systems may help to increase the production of cotton by detecting the leaf disease significantly. So we use Deep Techniques for model building and provide a best accuracy of model for Agriculture domain.