Ernest Mwebaze and his team have developed a mobile application for farmers to help diagnose diseases in their cassava crops. We spoke to Ernest to find out more about this project, how it developed, and plans for further work. The work really targets improving the livelihoods of smallholder farmers in Sub-Saharan Africa. The society in Sub-Saharan Africa is predominantly agricultural, with the livelihoods of over 70% of people depending on agriculture. We targeted the cassava plant, one of the key crops here; it's second after maize, and it's one of major sources of carbohydrates for people here in Sub-Saharan Africa.

In episode eight of season three we return to the epic (or maybe not so epic) clash between frequentists and bayesians, take a listener question about the ethical questions generators of machine learning should be asking of themselves (not just their tools) and we hear a conversation with Ernest Mwebaze of Makerere University. See all the latest robotics news on Robohub, or sign up for our weekly newsletter.