AgroLLM：通过大语言模型连接农民与农业实践，以增强知识传递和实际应用
AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application
AI总结：
AgroLLM 利用大语言模型与检索增强生成框架构建农业知识聊天机器人，通过 FAISS 向量检索和反馈机制提升回答准确性，其中 ChatGPT-4o Mini 结合 RAG 达到 93% 准确率，为农业教育和决策提供基准工具。
摘要：
AgroLLM 是一款由人工智能驱动的聊天机器人，旨在利用大语言模型（LLMs）和检索增强生成（RAG）框架加强农业领域的知识共享与教育。通过使用一个全面的开源农业数据库，AgroLLM 能够提供准确且与上下文相关的回答，同时减少错误信息检索。该系统利用 FAISS 向量数据库进行高效的相似性搜索，确保快速获取农业知识。对三种先进模型——Gemini 1.5 Flash、ChatGPT-4o Mini 和 Mistral-7B-Instruct-v0.2——进行了比较研究，以评估它们在四个关键农业领域的表现：农业与生命科学、农业管理、农业与林业以及农业商业。关键评估指标包括嵌入质量、搜索效率和回答相关性。结果表明，结合 RAG 的 ChatGPT-4o Mini 达到了最高准确率，为 93%。持续的反馈机制提升了回答质量，使 AgroLLM 成为面向农民、研究人员和专业人士的基准 AI 驱动教育工具，促进知情决策和农业实践的改进。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
