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.

本数据集包含为一项研究项目于巴基斯坦采集的高分辨率小麦植株影像。数据集涵盖健康小麦植株以及受四种常见病害侵染的小麦影像：普通腥黑穗病（Common Bunt）、散黑穗病（Loose Smut）、秆锈病（Stem Rust）与褐锈病（Brown Rust）。所有影像均在真实田间环境中通过高分辨率相机拍摄，后续经尺寸调整以适配机器学习模型。本数据集对于开展植物病害检测、农业计算机视觉应用以及基于机器学习的分类模型研究的科研人员而言具有重要价值。