Can AI give African farmers better rain forecasts?

Artificial Intelligence is being used in many areas and fields of application. In ICT for Development we are piloting AI projects to find out how to make AI useful for people in low resource environments. The thesis of Tom Siebring is one of these endeavors.

In the West African Sahel, rains are erratic, while farmers mostly rely on rainfed agriculture. Weather forecasts are often unreliable, due to the lack of local weather stations? In a master study by Computer Science student Tom Siebring, Artificial Intelligence models where trained on satellite images and rainfall measurements from the ground, to see if this can be helpful for farmers in Ghana, Mali and Burkina Faso. The thesis will soon be published.