Smart Indigenous Weather App
Photo Credit: Responsible AI Lab (RAIL)
Ghana's farmers have long relied on indigenous knowledge to read the skies but climate change is making those signs harder to trust. Unpredictable rainfall, shifting seasons, and extreme weather events are threatening harvests and the livelihoods of smallholder farmers who have few safety nets when crops fail.
The Smart Indigenous Weather App, developed with support from AI4D, bridges centuries-old farming wisdom with modern AI to deliver accurate, hyper-local weather predictions tailored to Ghana's agricultural communities. The app digitizes indigenous knowledge gathered directly from farmers over time, combining it with climate data to generate forecasts that reflect the realities of local growing conditions. To ensure no farmer is left behind, guidance is delivered in local languages via audio, and detailed indicator descriptions support communities in contributing reliable data to the system.
The result is a tool built by communities, for communities one that puts actionable climate intelligence into the hands of those who need it most. Early results show improved crop planning and yields among participating farmers, with a growing model for how responsible AI can integrate traditional knowledge systems to drive food security across Sub-Saharan Africa.