At the Olds College Smart Farm, we have concluded a two-year project trialing the suitability of satellite imagery to build in-crop variable rate (VR) prescriptions. The project assessed the software used to access normalized difference vegetation index (NDVI) imagery captured by satellites. It built VR prescriptions based on the imagery and we then applied that prescription in the field. We identified multiple benefits that include product savings, increased field productivity, opportunities for increased water rates and quick turnaround times to produce prescriptions. Additionally, we noted a few key conclusions.