About this document
Rice Leaf Disease Detection with CNN by Asif Aman is a document available to read on EtoBox.
The document discusses the development of an automated system for detecting rice leaf diseases using Convolutional Neural Networks (CNN) with transfer learning, specifically utilizing the VGG16 model. The system allows farmers to upload images of diseased rice leaves for analysis, achieving an accuracy of 91.23%. The study highlights the importance of early disease detection to improve rice yield and proposes future work to enhance the dataset and model performance.
- Author
- Asif Aman
- Language
- EN