Senegal crop study tests accessible AI mapping for small farms

Cambridge researchers report 84% crop-classification accuracy in Senegal using the Tessera satellite AI model, in research publicized with its Tuesday journal publication. The study used limited labeled data and tested transfer between years. Accuracy varied with survey quality, and secondary crops in mixed fields were not evaluated, the university’s report on Phys.org says.