With the development of agricultural information technology,a substantial amount of rice planting-related data has been accumulated on the Internet.To address the challenges that farmers face in quickly obtaining accurate information during the planting process,an intelligent question-answering system is constructed based on a knowledge graph,specifically for rice planting.First,relevant data are obtained through manual collection as well as web crawler technology.Natural language processing techniques,such as the named entity recognition model and an intent recognition model,are built in conjunction with front-and back-end technologies to develop an intelligent question-answering system for rice planting.Experimental results show that in the named entity recognition and intent recognition modules,the F1 values of the constructed models reach 89.17％and 96.54％,respectively,which are higher than those of other conventional models.The intelligent rice planting question-answering system,based on knowledge graph,can accurately answer most inquiries farmers encounter during the process of rice planting,facilitating the management and visualization of rice planting knowledge graph data.
维普
万方数据