AI Weather Forecasts Reach Rwandan Coffee Farmers
Smallholder coffee farmers in Rwanda and Uganda now have access to the same AI-powered climate forecasting tools that global commodity traders use—thanks to a new pilot programme funded by the Gates Foundation.
The project pairs Helios AI, a platform that predicts climate patterns and commodity prices across 90 countries, with COSA (Committee on Sustainability Assessment), a nonprofit that has worked with coffee cooperatives in East Africa for over a decade. Four cooperatives are participating in the initial rollout: Abateraninkunga ba Sholi, Rwandaro Farmers Cooperative, Abahuzamugambi Ba Kawa Maraba, and Kopakama.
What Farmers Actually Get
Through cooperative dashboards, members receive localised weather forecasts, global coffee production trends, and early warning signals for adverse conditions. The system includes Helios Horizon, an AI assistant that lets farmers ask questions in plain language—“How will expected rainfall affect our harvest timing this quarter?”—and get actionable answers.
“This platform will help members know the right time for agricultural practices according to weather conditions,” one cooperative leader told project organisers. For farmers managing just a few hectares, knowing when to pick, when to dry, and when to hold can mean the difference between specialty-grade beans and lost income.
Closing the Information Gap
The project tackles a longstanding disparity in commodity markets. Major traders like Cargill invest millions in proprietary forecasting systems that give them an edge on pricing and logistics. Smallholders, meanwhile, often make decisions based on experience and local observation alone.
“One of the promises of AI is that you can put in the hands of anyone with an internet connection the same types of cutting-edge technology,” said Francisco Martin-Rayo, Helios AI’s CEO. “The tools and insights are the same.”
The pilot also addresses data ethics—a persistent concern when technology companies work with farming communities. “This pilot is about creating two-way value,” said Jeroen Bollen, COSA’s project lead. “For too long, data has been extracted from farmers without giving anything meaningful back.”
Why This Matters
Climate volatility increasingly threatens East African coffee production. Rwanda’s highlands produce some of the world’s most sought-after washed coffees, but unpredictable rains can disrupt drying, cause cherry rot, and compress harvest windows. Better forecasting gives farmers room to adapt.
The pilot will release a case study later in 2026 examining whether cooperatives actually change their practices based on the forecasts—and how information flows from cooperative leaders to individual members. If successful, the model could expand across COSA’s network of agricultural cooperatives.
For specialty coffee drinkers, projects like this offer a glimpse of how technology might help secure the supply chains behind their favourite single origins.