An Intelligent Q&A Module for Tea Diseases and Pests Based on Automatic Knowledge Graph Construction

Tea pests and diseases are among the primary constraints in the tea industry. However, practitioners often rely on books and the internet for pests and diseases information, leading to fragmented and time-consuming searches. Constructing a question-answering system based on a knowledge graph of tea pests and diseases can address these issues. This study utilizes the deep learning model BERT-BiLSTM-CRF to automatically extract triplets, enabling the automatic construction of the knowledge graph and automated question-answering based on it. This research facilitates the rapid development of a knowledge graph in the agricultural tea sector and provides solutions for the scientific prevention and control of tea pests and diseases.