农作物疾病图像数据集

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。

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

搜集汇总

背景与挑战

背景概述

该数据集是一个用于农作物病害图像识别的公开数据集，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，总样本数为7982张，数据源自Kaggle平台，具有真实多样性，适用于农业计算机视觉模型的训练和评估。