This code [GitHub] implements a self-learning classifier using an Autoencoder and a Softmax classifier and attempts to classify crops using hyperspectral data. However, our current solution does not outperform the state of the art. This was done as an extension to code that can be found here.
I am happy to announce that I am releasing a beta version of the betaboard. You can pick one up by going to the website betablocks.us
The betaboard integrates the MKII programmer and an atmega32U4 chip on a single board.