Groundnut leaf Monitoring Remotely Using Machine Learning Techniques

The aim of the groundnut leaf disease classifier is to identify the relevant leaf disease with better classification accuracy. Identifying and managing the plant disease of a particularly rural area and developing a farmer-friendly expert system for precession farming. Enhancing the DCNN performance by using probabilistic graphical models of the DCNN method for detecting and managing plant disease. Mapping the plant diseases of India and developing a prediction-based approach for the farmers considering different crop varieties with varying diseases.