农业病虫害研究图库

农业病虫害研究图库（IDADP）由中国科学院合肥智能机械研究所牵头、联合亚热带农业生态研究所、遥感与数字地球研究所建设，整合了大量的农业病虫害图像样本资源，每种病虫害具有几百到几千张高质量图像，可为病虫害图像识别研究提供机器学习建模所需的样本数据。面向农业图像理解的机器学习数据集是以农业病虫害研究图库（IDADP）为基础建设而成的综合数据库。整合了大量的农业本体和病虫害高质量图像/文本/视频样本资源，为农业本体/病虫害认知研究提供机器学习建模所需的样本数据，形成面向农业图像理解关键技术研究的基础资源。

The Agricultural Pest and Disease Research Image Database (IDADP) was developed under the leadership of the Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, in collaboration with the Institute of Subtropical Agriculture and the Institute of Remote Sensing and Digital Earth of the Chinese Academy of Sciences. It integrates a vast collection of image samples of agricultural pests and diseases, with hundreds to thousands of high-quality images per pest and disease category, providing the necessary sample data for machine learning modeling in pest and disease image recognition research. The machine learning dataset for agricultural image understanding is a comprehensive database built on the basis of IDADP. It integrates a large number of high-quality image, text and video sample resources related to agricultural ontologies and pests and diseases, providing the required sample data for machine learning modeling in agricultural ontology and pest/disease cognition research, and serving as a fundamental resource for key technology research on agricultural image understanding.

搜集汇总

背景与挑战

背景概述

农业病虫害研究图库是一个专注于农业病虫害图像识别的大规模机器学习数据集，由中国科学院多个研究所联合建设，包含每种病虫害几百到几千张高质量图像，总数据量达700GB。该数据集旨在为农业图像理解的机器学习建模提供丰富的样本资源，适用于人工智能领域的病虫害认知研究。