Botantical classification is interesting but difficult. Once trained, it's fast enough, but can "deep learning" be anywhere near accurate enough?
I'd guess there'd be a focus on salient botantical features for classification, and perhaps the human can be enlisted to circle them out. There could be a "twenty questions"-type narrowing down, perhaps using images.
Dichotomous keys are mostly useless when you deal with photos. For some reason people always find the most useless chamera position when taking photos to unknown plants.
That's a two-edged sword; I've seen a few birds which, if the range diagrams in my field guides are to be believed, have no business being anywhere near where I am, and were probably up to no good. Granted plants move less quickly, but I'd hesitate to put all that much weight on location all the same.
I'd guess there'd be a focus on salient botantical features for classification, and perhaps the human can be enlisted to circle them out. There could be a "twenty questions"-type narrowing down, perhaps using images.