We present Kissan-Dost, a multilingual, sensor-grounded conversational system that turns live on-farm measurements and weather into plain-language guidance delivered over WhatsApp text or voice. The system couples commodity soil and climate sensors with retrieval-augmented generation, then enforces grounding, traceability, and proactive alerts through a modular pipeline. In a 90-day, two-site pilot with five participants, we ran three phases (baseline, dashboard only, chatbot only). Dashboard engagement was sporadic and faded, while the chatbot was used nearly daily and informed concrete actions. Controlled tests on 99 sensor-grounded crop queries achieved over 90 percent correctness with subsecond end-to-end latency, alongside high-quality translation outputs. Results show that careful last-mile integration, not novel circuitry, unlocks the latent value of existing Agri-IoT for smallholders.
Kissan-Dost：通过对话式物联网为小农户精准农业打通“最后一公里” / Kissan-Dost: Bridging the Last Mile in Smallholder Precision Agriculture with Conversational IoT
这篇论文介绍了一个名为Kissan-Dost的多语言对话系统，它通过WhatsApp将农田传感器数据和天气信息转化为通俗易懂的农事指导，成功解决了现有农业物联网技术难以被小农户日常使用的“最后一公里”问题，并证明这种便捷的交互方式比传统仪表盘更能促进农户持续采纳和采取实际行动。
源自 arXiv: 2602.08593
