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Way to distinguish two different textures without dataset

Hi

I have video of moving agriculture harvester

image description

crop/grass can be different in all cases, but there is only two of them: cut and uncut. So i can't collect data set to train own neural network. -just don't have so many data or time to collect all possible cases.

Can i train own classifier on the fly, grabbing left and right roi? Or maybe somehow preprocess image. For example: using video optFlow i managed to receive something like this:

image description

however i can't achieve any result to separate cut/uncut areas with this grayscale image.

Any idea will be helpful