Capgemini and Agrics transform smallholder agriculture in Kenya with AI-powered platform
Capgemini, in collaboration with social enterprise Agrics East Africa, developed the Financial and Agricultural Recommendation Models (FARM) platform to address inefficiencies and low productivity among smallholder farmers in Kenya. The FARM platform integrates AI and machine learning, leveraging Microsoft Azure to collect big data on farming patterns and deliver data-driven recommendations for optimizing crop production, commercial decision-making, and farm automation. Embedded digital tools connect to mobile devices, expanding accessibility and practical use amongst farmers, buyers, processors, and value chain actors. The ecosystem built by Capgemini and Agrics provides commercial and agronomic insights, supports value chain collaboration, and promotes sustainable development in the agricultural sector. This initiative directly improves the income and food security of rural populations by optimizing value chain effectiveness and providing time- and location-specific farming products and services.
- Organization
- Agrics East Africa
- Industry
- Agriculture
- Location
- Kenya
- Published
- October 2019
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Agrics East Africa, Farmers
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- consultancy.africa
No explicit deployment-stage evidence found.
Primary read
Use case focus
Showing 3 of 3
- 1AI-Driven Agricultural Recommendation Platform
- 2Mobile Big Data Analytics for Farmers
- 3Agricultural Value Chain Data Collaboration
- Developed the FARM platform leveraging Microsoft Azure and machine learning to gather and analyze farming data.
- Provided actionable recommendations for crop production and value chain optimization.
- Equipped platform with mobile connectivity to reach broader rural audiences.
- Enabled ecosystem collaboration for commercial actors, farmers, and processors.
- Boosted farm productivity and efficiency for smallholder farmers in Kenya.
- Reduced farming risks and strengthened environmental sustainability.
- Enhanced rural income and investor confidence through actionable, data-driven insights.
- Improved food security for rural populations.
Implementation partners1
Sources & evidence1
- Customer explicitly identified
- Independent source available
- Technical implementation details available
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.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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