ML BASED PLANT LEAF DISEASE PREDICTION

Abstract

Agriculture is one among the major sectors of the Indian economy. As we know farmers detect plant disease through their naked eye. But it requires more efforts to discover in large number of plants and also it is time consuming process. In such issues to enhance the accuracy rate and make it more favourable suggested techniques are implemented where plant disease detection help to make process cheaper and easier. In this project, various machine learning methods like Random Forest, Support Vector Machine (SVM), XGBoost, Long Short-Term Memory (LSTM) etc., have been utilize for recognition, discovery, and categorization of plant diseases. This method will improves productivity of crops .The Proposed method compares the accuracy of above mentioned machine Learning methods for plant disease prediction and also find out the type of disease. This work passed through the steps such as Image acquisition, image pre-processing, features extraction and AI based classification etc.