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AI Rice Leaf Disease Detection Project by tiwarishashank2003 is a document available to read on EtoBox.

The report outlines a project by student Shagun Davessar focused on developing an AI-driven system for detecting rice leaf diseases using Vision Transformers and Self-Supervised Learning. The project aims to improve accuracy and efficiency compared to traditional methods, addressing issues like scalability and labeling constraints. Currently, the project is 40% complete and is expected to finish by May 2, 2025.

Author
tiwarishashank2003
Language
EN