Rice Is One Of The World's Most Important Staple Crops, And The Health Of Rice Plants Is Crucial For Global Food Security. Detecting And Classifying Diseases In Rice Leaves Is Essential To Ensure A Healthy Crop Yield. In This Project, We Propose A System For The Classification Of Rice Leaf Diseases Using Convolutional Neural Networks (CNN) And Transfer Learning. We Aim To Leverage The Power Of Deep Learning And Pre-trained Models To Accurately Identify And Categorize Various Rice Leaf Diseases, Providing Farmers And Agronomists With An Efficient Tool For Early Disease Detection. This Paper Discusses The Existing System's Limitations And Presents The Advantages Of Our Proposed Approach.
