小麦疾病图像数据集

该数据集包含14155张高分辨率小麦病害图像，涵盖多种真实病害类型，未使用人工增强技术，确保自然特征的完整性。数据来自公开网络资源，适用于开发和验证小麦病害分类的机器学习模型。其特点包括全面的病害覆盖、真实场景成像及配套监测指南，支持模型泛化与实际农业应用。主要用于基于图像识别的小麦病害监测与智能诊断系统。

This dataset contains 14,155 high-resolution images of wheat diseases, covering multiple real disease types. No manual data augmentation techniques are applied to ensure the integrity of natural features. The dataset is sourced from public online resources, and is designed for developing and validating machine learning models for wheat disease classification. It features comprehensive coverage of disease categories, real-scenario imaging, and accompanying monitoring guidelines, which facilitate model generalization and practical agricultural applications. This dataset is primarily intended for image recognition-based wheat disease monitoring and intelligent diagnosis systems.