Research on Crop Planting Problem Automatic Answering System Based on Knowledge Graph
Xiang Li, Haoyuan Zhang · 2023
This study aims to provide accurate and reliable diagnosis and treatment services for crop pests and diseases. A knowledge graph was constructed using a large amount of literature and expert knowledge related to crop pests and diseases. Based on this graph, an efficient and accurate automatic question-answering algorithm was developed, which was implemented in a user-friendly prototype system utilizing the Pyqt5 architecture. The system has good scalability and flexibility to meet the needs of different user groups. The results of this study provide important support for agricultural production and crop pest control by promoting timely diagnosis and treatment of crop pests and diseases, improving agricultural production efficiency and economic benefits. This study also provides useful inspiration for the application of knowledge graphs in other fields.