官方服务：
资源简介：
plant disease
应用场景：
创建时间：
2020-11-15
相关数据集
Pictures of diseased soybean leaves by category captured in field and with controlled backgrounds: Auburn soybean disease image dataset (ASDID)
The dataset contains 2D images/photographs of diseased soybean leaves ideal for plant disease identification and visual object recognition research. Images were captured during the 2020 and 2021 soybe
Mendeley Data2024-04-13 更新230
Leaf Disease Dataset (combination)
256x256 color images of leaves healthy and affected
kaggle2022-01-09 更新50
植物病害图像分类预测数据集
植物病害图像分类预测数据集_Plant_Disease_Image_Classification_Prediction 数据来源：互联网公开数据 标签：植物病害, 图像分类, 机器学习, 计算机视觉, 病害预测, 深度学习, 数据集, 农业 数据概述： 该数据集包含植物病害图像的预测结果，用于评估图像分类模型的性能。主要特征如下： 时间跨度：数据未标注具体时间，可视为模型预测的静态结果。 地理范围
海数据130
