Kissan-Dost: Bridging the Last Mile in Smallholder Precision Agriculture with Conversational IoT

Muhammad Saad Ali; Daanish U. Khan; Laiba Intizar Ahmad; Umer Irfan; Maryam Mustafa; Naveed Anwar Bhatti; Muhammad Hamad Alizai

arXiv · 2602.08593

Kissan-Dost: Bridging the Last Mile in Smallholder Precision Agriculture with Conversational IoT

Muhammad Saad Ali·Daanish U. Khan·Laiba Intizar Ahmad·Umer Irfan·Maryam Mustafa·Naveed Anwar Bhatti·Muhammad Hamad Alizai

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Abstract

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.

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Muhammad Saad Ali, Daanish U. Khan, Laiba Intizar Ahmad, Umer Irfan, Maryam Mustafa, Naveed Anwar Bhatti, Muhammad Hamad Alizai. 2026-02-09. Kissan-Dost: Bridging the Last Mile in Smallholder Precision Agriculture with Conversational IoT. https://arxiv.org/abs/2602.08593

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