evidoria

← Back to browse

Good practice Imported

Farmer.Chat in Ethiopia — Digital Green's Government-Backed AI Advisory Pilot Scales to a 200,000-Farmer Impact Evaluation

Ethiopia · Addis Ababa · See the Ethiopia profile · See the Addis Ababa profile

Top 66% 53/100 · Ask Evidence Copilot about this practice

Digital Green's Farmer.Chat AI advisory tool, run with Ethiopia's Ministry of Agriculture, scaled from a 3-district pilot to a 15-district, 200,000-farmer evaluation with Bordeaux School of Economics and Addis Ababa University measuring yields, income and cost-effectiveness.

Farmer.Chat in Ethiopia — Digital Green's Government-Backed AI Advisory Pilot Scales to a 200,000-Farmer Impact Evaluation

Details

Promoter
Digital Green, in close collaboration with Ethiopia's Ministry of Agriculture
Period
April 2025 – December 2027 (pilot + impact evaluation)
Keywords
agriculture, rural extension services, digital public goods

Description

Since April 2025, Digital Green has been piloting Farmer.Chat — a GPT-4-based, voice- and text-enabled conversational AI agricultural advisory tool available in Afaan Oromo, with Amharic and further Ethiopian languages planned — in close collaboration with Ethiopia's Ministry of Agriculture. The pilot phase ran across 3 woredas (districts) of Oromia region and 32 communities, training 100 government development agents to support the rollout.

The programme, funded by the Fund for Innovation in Development (FID), has since scaled into a formal impact evaluation covering 15 districts of Oromia, roughly 200,000 farmers and 3,000 government extension agents, led jointly by the Bordeaux School of Economics, Addis Ababa University and Ethiopia's Research Center for Inclusive Development in Africa (RIDA).

The evaluation is designed to measure Farmer.Chat's effect on the adoption of farming practices, crop yields and farmer incomes, and — notably — to assess its cost-effectiveness against Ethiopia's existing, agent-only extension model, rather than simply reporting engagement numbers.

Results were not yet public as of this review. The programme is documented here for the rigor and scale of its evaluation design and its direct integration into the government's own extension-agent network — not for outcomes that remain to be confirmed.

Read the full analysis: https://fundinnovation.dev/en/projects/leveraging-transformational-potential-ai-empower-small-scale-farmers--ethiopia

Implementation

Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.

Do you run this practice? Claim it — verified implementers get a public contact pathway and can propose corrections.

Data sources

Where this practice's information was retrieved from, and when.

Attachments

Similar practices you may find useful