This project develops a chatbot for farmers to inquire about the correct usage of pesticides. Initially, we curate a database of all pesticides sold in China. Using a large language model (LLMs), we extract information from pesticide manuals to curate this database. We then employ the Retrieval-Augmented Generation (RAG) technique to integrate the LLM and the database, enabling the chatbot to answer farmers' queries effectively.
This is the first project of its kind, utilizing cutting-edge communication technology to address major social issues.
