Deep Learning Based Rust and Smut Detector for Wheat Plants

This dataset consists of high-resolution images of wheat plants collected from Pakistan for a research project. The dataset includes images of both healthy wheat plants and wheat affected by four common diseases: Common Bunt, Loose Smut, Stem Rust, and Brown Rust. All images were captured under real in-field conditions using high-resolution cameras and subsequently resized to ensure compatibility with machine learning models. This dataset is valuable for researchers working on plant disease detection, computer vision applications in agriculture, and machine learning-based classification models.