Research on the Construction of Agricultural Planting Big Data Corpus Based on Knowledge Graphs

Agriculture has always been an important pillar of China, and the continuous development of science and technology has always been inclusive to the people. How to help more growers more scientific and convenient planting through intelligent technology and solving problems and challenges in the field of agricultural planting have always been a problem worth thinking and practice. The purpose of this study is to build a new-style agricultural field of the new agricultural field of the conceptual system, and build a standardized, systematic knowledge corpus, agricultural planting data entity extraction corpus in the agricultural field through the structural concept of the new agricultural planting knowledge base. Agricultural planting data is due to basic data during data mining and model construction. Provide an efficient and professional crop planted big data corpus solution for agricultural knowledge graph applications.