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.
