 Precision farming, PF, management strategies are commonly based on estimations of within-field yield potential. This work utilizes an unmanned aircraft system, UAS, to capture standard RGB imagery data sets for corn grain yield prediction. The imagery is processed into simple 6 Earth images for crop slash non-crop classification and 3D CSMs for crop height determination. This article was authored by Jacob Geeple, Johanna Link, and Wilhelm Kloppian.