KALRO empowers Kenyan farmers with personalized agricultural guidance
Kenya Agriculture and Livestock Research Organisation (KALRO), in partnership with TomorrowNow.org and Tomorrow.io, has piloted AgriAdvisor, an AI-driven copilot designed for small-scale farmers in Kenya. The copilot leverages generative AI to provide localized agronomy and weather advice, supporting farmers in both English and Swahili. Accessible via multiple digital channels, this solution targets gaps in real-time agricultural information for rural farmers. The implementation demonstrates the capabilities of Microsoft Copilot in addressing language, access, and contextualization issues for emerging markets. While detailed business metrics are not stated, the impact is positioned around improved on-farm decision making and sustainable productivity gains. The project is rooted in Microsoft Research Lab Africa's ongoing push for scalable, AI-based market interventions. AgriAdvisor demonstrates a technology approach tailored for localized, actionable knowledge delivery, making it easier for farmers to access best practices without direct expert intervention.
- Industry
- Agriculture
- Location
- Kenya
- Published
- August 2024
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 2 of 2
- 1Personalized Digital Agronomy Copilot for Smallholder Farmers
- 2Localized Weather Advisory Automated Agent
- Smallholder farmers in Kenya lack access to real-time, reliable agronomic guidance.
- Most agricultural advice is generic and not tailored to local microclimates.
- Limited weather forecasting impedes timely on-farm decision-making.
- Language barriers (English/Swahili) and access to experts impact information utility for farmers.
- Developed an AI copilot (AgriAdvisor) leveraging Microsoft Copilot technology.
- Delivered hyper-localized, real-time agronomy and weather advice in English and Swahili.
- Made recommendations directly actionable for field workers via mobile or digital channels.
- Improved on-farm decision making for thousands of small-scale farmers.
- Increased the accessibility of expert agronomic advice across language barriers.
- Positioned to improve yields and sustainability for emerging market agriculture (exact figures not provided).
Implementation partners2
Sources & evidence1
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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