Cotton Leaves Disease Detection And Cure Using Deep Learning









Abstract

In India, Cotton is considered to be one of the most important cash crops, as many farmers grow cotton in large quantities. Cotton diseases, in the last few decades should lead to significant loss of productivity. Early detection of cotton diseases diagnosis is important. The goal of this research is to introduce a system that uses a convolutional neural network method to automatically diagnose cotton leaf diseases. Separation based on selection of appropriate features such as color, texture of images created using Deep Learning Techniques. The images are acquired from various online sources.


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Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL