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CNN Model for Early Rice Leaf Disease Detection by Boya Raghuveera is a document available to read on EtoBox.
What is CNN Model for Early Rice Leaf Disease Detection about?
The document presents a project focused on developing a high-precision CNN-based model for the early identification of rice leaf disorders, addressing significant yield losses caused by diseases. It outlines the methodology, objectives, and expected outcomes of the project, emphasizing the importance of automation and deep learning in agriculture. The project aims to empower farmers with efficient tools for disease detection, promoting sustainable farming practices.
- Author
- Boya Raghuveera
- Language
- EN