Farmer.Chat: Scaling AI-Powered Agricultural Services for Smallholder Farmers
Namita Singh, Jacqueline Wang'ombe, Nereah Okanga, Tetyana Zelenska, Jona Repishti, Jayasankar G K, Sanjeev Mishra, Rajsekar Manokaran, Vineet Singh, Mohammed Irfan Rafiq, Rikin Gandhi, Akshay Nambi
TL;DR
Farmer.Chat tackles the information gap facing smallholder farmers by delivering scalable, AI-driven advisory via a multilingual, multimodal chatbot. It combines Retrieval-Augmented Generation with a structured knowledge base and continuous feedback to provide contextual, trustworthy guidance across 40+ crops, deployed on popular messaging platforms. Qualitative studies with 300+ users reveal strong usefulness, trust, and ease of use, especially for women and low-literacy farmers, while quantitative analysis shows about 75% query coverage, quick response times, and high relevance and faithfulness. A Gender Bias Red Teaming exercise demonstrates the platform’s safety and equity potential, though gaps in GBV handling and language inclusivity remain. Overall, Farmer.Chat demonstrates a scalable, impactful approach to AI-assisted agricultural extension with implications for inclusive, context-aware AI tooling in low-resource settings.
Abstract
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.