Just this week Barack Obama made a speech at the Univeristy of Illinois. He opened with “It is good to be home. It’s good to see corn, beans. I was trying to explain to somebody as we were flying in, that’s corn. That’s beans. They were very impressed at my agricultural knowledge.”
Well, at the risk of ‘patting oneself on the back’, I scored 2nd place and a $4k prize in CrowdAnalytix’s “Agricultural Crop Cover Classification Challenge - Perform image segmentation to determine which fields are growing corn or soybeans” in Illinois producing predictions as shown below (1px = 30m). I don’t know how it would compare to Obama’s expert knowledge. https://twitter.com/crowdanalytix_q/status/1035147920050475008
Competition rules mean I can’t detail the method, suffice to say fast.ai and U-net and opencv were my friends. And I learnt a lot about opencv and remote sensing in the process.
I would say to fast.ai learners, do not be intimidated or constrained by subject matter: the transferability of what you learn here from dogs v cats to fashion to agriculture to medicine is a key lesson.