A Dataset for Constructing Agricultural Knowledge Graph

This dataset utilizes web crawler technology to mine data from publicly available agricultural websites. Through automated or semi-automatic data cleaning, denoising, and other processes, unstructured data is recombined into structured data, which is ultimately stored in the form of a knowledge graph. The constructed agricultural knowledge graph includes item data for 11 agricultural categories, such as grain crops, cash crops, fruits, vegetables, etc. Specifically, it includes 461 types of grain crops, 2208 types of cash crops, 1294 types of fruits, 257 types of vegetables, 118 types of edible fungi, 1161 types of flowers and trees, 142 types of aquatic products, 113 types of pesticides, 1605 types of crop diseases and pests, 519 types of veterinary drugs, and 603 types of Chinese herbal medicines, totaling 8481 subcategories. The constructed agricultural knowledge graph can provide basic data support for the development of human-machine interactive intelligent applications such as agricultural knowledge Q&A and recommendation systems.