Most Kenyan farmers surveyed say that they act on Farmer.Chat advice

In a phone survey of 450 Kenyan users for Digital Green, 70% of farmers said that they had applied Farmer.Chat advice in the past 30 days. Two thirds said that a recent query led to a farm action.

  • 2 a person

    Seven in 10 surveyed farmers said that they had applied the advice, and 49% took an action that matched the chatbot's answer, though all outcomes are self-reported.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

Only the evaluators support the benefit.

The system’s part
Not isolated. The survey asked users about the chatbot's advice and checked their reported actions against its logged answers. It has no comparison group without the chatbot. The report calls Farmer.Chat an AI chatbot but does not describe its model.
Limits
Not yet checked.
Costs and harms
Not yet checked.
Later
Not yet checked.

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Benefit type
Improved Knowledge Discovery
System
Farmer.Chat
Made by
Digital Green
Used by
Digital Green, with farmers and extension agents in Kenya
Where
Kenya
Stage
In routine use
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Providing Consultation and Advice to Others, Interpreting the Meaning of Information for Others
Collections
Scrutiny and findings
Last revised
31 October 2026

Sources

  1. Evaluation report, by an evaluator that the makers or users commissioned.

    60 Decibels. Digital Green Farmer.Chat Study, Kenya: Lean Data Insights for Digital Green. September 2025. Top Insights, insight 3, and the page on application of Farmer.Chat advice. Commissioned by Digital Green, which supplied the list of users to sample.

    7 in 10 farmers report applying Farmer.Chat recommendations in the last 30 days, and those who haven't applied plan to apply them in the future. Nearly all farmers recall their last query to Famer.Chat and two thirds of them report taking a concrete action or decision on their farm because of it.

Details

AI system

Workflow

Farmers asked Farmer.Chat questions by voice, text or image and received localized answers. The service also gave weather updates for specific regions.

Follow-up

Conditions for replication

Farmers need a phone and data bundles to reach the service. Answers must be complete and understandable, since farmers who understood less of them applied them less.

Entry details

Sector

Agricultural advisory.

Purpose

Digital Green built Farmer.Chat to give smallholder farmers and extension workers localized answers to farming questions by voice, text and image.

Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). Most Kenyan farmers surveyed say that they act on Farmer.Chat advice (AIBD-0872). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0872.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)

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