Mapping poverty and crop yield, Atlas AI merges machine learning with satellite imagery

Atlas AI was founded in 2018 by three professors at Stanford University, David Lobell, Stefano Ermon, and Marshall Burke. It aims to use the artificial intelligence technology in sustainable development, with a particular focus on bringing the latest machine learning into policy applications at the lowest cost through more efficient management and evaluation.

“an innovative model for translating the best research thinking into products and services that accelerate sustainable development. Part of The Rockefeller Foundation’s vision is to unlock AI’s tremendous potential to improve people’s well-being while mitigating downside risks,” said Zia Khan, Vice President of Innovation at The Rockefeller Foundation, who established this startup initiative.

Victoria Coleman, the current CEO who used to serve as the CFO of Wikimedia Foundation, suggests that in addition to its application in agriculture and food security, Atlas AI will also analyse the level of local economic affluence in Africa over a relatively long period of time, as well as a number of other applications. “Our technology is well matched to that of the local mobile communication tools in Africa.” She has confidence in the technology’s ability to successfully promote and increase local employment through partnership with AGRA and the Rockefeller Foundation.

The company believes that an extremely open and transparent approach is needed to improve productivity in agriculture, infrastructure and markets. It will continue with the practical analysis of high-resolution data in sub-Saharan Africa and Latin America, with the methods published in the core science journals.and open to the public.