Innovations in digital agriculture are enabling farmers and researchers to capture data from sources like aerial drones, ground robots, satellites and mobile apps. But making sense of all this information – the integration and analysis of big data –
MIT CSAIL scientists created an algorithm called STEGO to solve one of the hardest tasks in computer vision: assigning every pixel in the world a label without any human supervision.