Kenya Agriculture and Livestock Research Organisation (KALRO)
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Kenya Agriculture and Livestock Research Organisation (KALRO) has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country. Key partners include CABI, Tomorrow.io, TomorrowNow.org.
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Hyperscaler mix
See whether Kenya Agriculture and Livestock Research Organisation (KALRO)'s cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Kenya Agriculture and Livestock Research Organisation (KALRO) builds AI
Build / Buy / Compose across this company's documented cases
1 of 2 cases classified (50%) · Compare all use-case types
Use case portfolio
Use case types at Kenya Agriculture and Livestock Research Organisation (KALRO)
Agriculture optimization leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Reported outcomes
1 case reports measurable results
−30%
Risk, reliability & safety
median · 1 metric
+40%
Time & speed
median · 1 metric
Medians of results published in Kenya Agriculture and Livestock Research Organisation (KALRO) cases, normalized for comparability. See all benchmarks →
Evidence persistence
1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Kenya Agriculture and Livestock Research Organisation (KALRO) uses across visible cases
AI Agents appears in 1 of 2 indexed cases; 4 named technologies are mentioned, led by Azure.
Technologies mentioned
All Use Cases (2)
KALRO boosts Kenyan crop yields with AI-powered precision agriculture
Kenya Agriculture and Livestock Research Organisation (KALRO) implemented an AI-driven system to enhance agricultural productivity among smallholder farmers. Working with CABI, they deployed the PRISE early warning system using Microsoft Azure, Generative AI, and Earth Observation data. The solution provides zone-specific pest and weather advisories to over four million farmers via SMS and digital bulletins. Additionally, solar-powered, computer-vision pest detectors were rolled out, delivering on-site alerts in seconds for rapid intervention. This digital advisory network has been key to scaling agricultural insights and decision-making nationwide. Results included up to 30% reduction in crop pest losses and up to 40% yield increases for vulnerable farmers, illustrating how digital transformation is reshaping smallholder agriculture in Kenya. The scalable setup allows continuous improvement as new data and AI models are integrated.
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.
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