The ability to do robust, meaningful research with minirhizotron images is currently limited by the amount of time that can be spent by a human expert classifying the data. This poster focuses on presenting a path towards automated analysis of these images. It shows preliminary results from two off-the-shelf vision algorithms, which suggest that further research needs to be done.