农作物疾病图像数据集

<p><span class="ql-cursor"></span>该数据集用于农作物病害图像识别，包含辣椒、茄子、马铃薯和番茄四种作物的健康与患病叶片图像，总样本规模达数万张。数据来自公开Kaggle平台，具有较高的真实性和多样性，涵盖多种常见植物疾病症状。适用于农业计算机视觉模型训练与评估，支持病害早期检测、智能诊断系统开发等应用场景，助力智慧农业发展。</p>

This dataset is intended for crop disease image recognition. It includes images of both healthy and diseased leaves from four crop types: pepper, eggplant, potato, and tomato, with a total of tens of thousands of samples. The data is sourced from the public Kaggle platform, boasting high authenticity and diversity, and covers a variety of common plant disease symptoms. It is applicable for the training and evaluation of agricultural computer vision models, and supports application scenarios such as early disease detection and intelligent diagnosis system development, thereby facilitating the advancement of smart agriculture.