用大模型+检索增强，帮农民快速获取精准农业知识
AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application
- 基于RAG框架和FAISS向量库，实现高效农业知识检索
- 在四大农业领域测试中，ChatGPT-4o Mini+RAG准确率达93%最高
- 适合农民、研究者与农业从业者，支持持续优化问答质量
AgroLLM是一款基于大语言模型（LLMs）和检索增强生成（RAG）框架的AI聊天机器人，旨在通过开源农业数据库提升农业知识共享与教育效率。系统利用FAISS向量数据库实现快速相似性搜索，确保响应的准确性与上下文相关性。对比测试了Gemini 1.5 Flash、ChatGPT-4o Mini与Mistral-7B-Instruct-v0.2三个模型在农业与生命科学、农业管理、农林、农业经济四个领域的表现，评估指标包括嵌入质量、搜索效率和回答相关性。结果显示，ChatGPT-4o Mini结合RAG在所有任务中达到93%的最高准确率。系统还集成持续反馈机制，不断优化回复质量，成为推动农业决策智能化与实践改进的标杆工具。
原文摘要 · Abstract (English)
AgroLLM is an AI-powered chatbot designed to enhance knowledge-sharing and education in agriculture using Large Language Models (LLMs) and a Retrieval-Augmented Generation (RAG) framework. By using a comprehensive open-source agricultural database, AgroLLM provides accurate, contextually relevant responses while reducing incorrect information retrieval. The system utilizes the FAISS vector database for efficient similarity searches, ensuring rapid access to agricultural knowledge. A comparative study of three advanced models: Gemini 1.5 Flash, ChatGPT-4o Mini, and Mistral-7B-Instruct-v0.2 was conducted to evaluate performance across four key agricultural domains: Agriculture and Life Sciences, Agricultural Management, Agriculture and Forestry, and Agriculture Business. Key evaluation metrics included embedding quality, search efficiency, and response relevance. Results indicated that ChatGPT-4o Mini with RAG achieved the highest accuracy at 93%. Continuous feedback mechanisms enhance response quality, making AgroLLM a benchmark AI-driven educational tool for farmers, researchers, and professionals, promoting informed decision-making and improved agricultural practices.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。