用生成式AI打造农业聊天机器人，帮小农户获取及时可靠的种植建议。
Farmer.Chat: Scaling AI-Powered Agricultural Services for Smallholder Farmers
- 基于生成式AI构建对话系统，支持多语言和非结构化信息理解。
- 已在四国服务超1.5万农户，回应超30万次咨询，提升响应效率。
- 适合关注农业科技普惠、数字乡村建设的从业者与政策制定者。
小农户面临获取本地化、及时性农业信息的困难，影响生产效率与可持续性。传统农技推广依赖人工下乡，难以规模化且响应滞后，尤其在偏远地区。本文提出FarmerChat，一个基于生成式AI的聊天机器人，可提供个性化、可靠且情境相关的农业建议，突破以往聊天机器人在确定性对话流程、语言支持和非结构化数据处理方面的局限。该系统已在四个国家部署，累计服务超过15,000名农民，回应超过300,000条查询。通过定量分析与定性反馈相结合的评估，验证了FarmerChat在改善农事实践、增强用户信任、提升回复质量与参与度方面的有效性。
原文摘要 · Abstract (English)
Small and medium-sized agricultural holders face challenges like limited access to localized, timely information, impacting productivity and sustainability. Traditional extension services, which rely on in-person agents, struggle with scalability and timely delivery, especially in remote areas. We introduce FarmerChat, a generative AI-powered chatbot designed to address these issues. Leveraging Generative AI, FarmerChat offers personalized, reliable, and contextually relevant advice, overcoming limitations of previous chatbots in deterministic dialogue flows, language support, and unstructured data processing. Deployed in four countries, FarmerChat has engaged over 15,000 farmers and answered over 300,000 queries. This paper highlights how FarmerChat's innovative use of GenAI enhances agricultural service scalability and effectiveness. Our evaluation, combining quantitative analysis and qualitative insights, highlights FarmerChat's effectiveness in improving farming practices, enhancing trust, response quality, and user engagement.
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