This study is carried out in combination with the data of crops approved varieties in Guangdong Province and related technologies of knowledge map. Seed industry is the initial link of agricultural industrial chain and an important pillar to ensure national food security and economic development. As an important innovative resource in this link, approved varieties are popularized after strict testing and objective evaluation, which effectively realizes the protection and utilization of germplasm resources and promotes the high-quality development of seed industry. With the advancement of agricultural informatization, the amount of agricultural data has increased dramatically, and modern information technologies such as big data and artificial intelligence have played a prominent role in improving agricultural production efficiency and optimizing resource allocation. As an important branch technology of artificial intelligence and semantic network, knowledge mapping has been widely used in various fields, while the research of knowledge mapping in agricultural field focuses on key issues such as crop cultivation, water and fertilizer management, pest control and so on. Based on the reliability, practicability, continuity and other factors of data, this study collected the eight-year crop variety data of Guangdong Province from 2016 to 2023 as basic data by obtaining the information publicly released by the Guangdong Provincial Department of Agriculture and Rural Affairs. The data was stored in. doc format and contained a lot of characters and characters. In order to facilitate machine identification and subsequent knowledge map construction, this study removed the influence of noise by data cleaning, and extracted common attributes according to the characteristics and yield performance of varieties. Finally, 823 germplasm resources data of three crops approved varieties by rice, corn and soybean were sorted and merged, and stored as structured data in. xlsx and. json formats. In order to verify the validity of the data, the knowledge map of main crops approved varieties in Guangdong Province was successfully constructed by using the graphic database: Neo4j. Relevant scientific research and production units can establish an expert knowledge base of crops approved varieties based on this data set, and build intelligent services such as intelligent question and answer, management decision and information recommendation for specific agricultural tasks through database expansion and multi-source data fusion.

Data summary: