病虫害智能识别大数据集

本数据集围绕作物种类、病虫害类别、图像特征、地理分布、气候环境及发生程度等维度构建，系统记录不同作物、不同区域、不同生长阶段的病虫害图像与关联环境数据。数据原料来源于田间实地拍摄、植保站监测记录、公开农业数据集、无人机及地面传感器图像，所有数据均已进行脱敏与标准化处理，不包含任何农户隐私信息或具体地块权属数据。

This dataset is constructed across multiple dimensions including crop species, pest and disease categories, image features, geographical distribution, climatic environment, and occurrence severity. It systematically documents pest and disease images and associated environmental data for different crops, across different regions, and at various growth stages. The data sources include field in-situ photography, monitoring records from plant protection stations, publicly available agricultural datasets, and imagery captured by unmanned aerial vehicles (UAVs) and ground sensors. All data has been desensitized and standardized, with no farmer privacy information or specific land ownership data included.

搜集汇总

背景与挑战

背景概述

该数据集涵盖作物种类、病虫害类别、图像特征、地理分布等多维度，系统整合田间实地拍摄、植保站监测记录及公开农业数据等来源，经过脱敏与标准化处理。它适用于病虫害图像识别模型训练、发生趋势预测及农业保险定损等应用场景。