Agricultural Planting Big Data Q & A System Technology Research Based on Knowledge Graph

In the process of agricultural production, planting has the characteristics of decentralization, complexity, seasonal differences, and regional differences, which affects agricultural growers to easily obtain effective planting information to help their own agricultural planting. The purpose of this study is to apply knowledge graph technology and natural language processing technology to the process of agricultural planting, and use the intelligent Q & A system to provide agricultural growers with regional natural conditions and suggestions and decisions of agricultural plant problems. Provide agricultural growers with a new solution for question and answer to high - efficiency and professional crop planting decisions. Finally, the intelligent decision -making and knowledge generation of farming planting, production, and operational process is achieved, and it is agricultural growers and improves farming income and farmland production efficiency. Change the agriculture from "watching the sky" to the intelligent "knowing the sky".