 This study investigated the effectiveness of using multi-spectral vegetation indices, MSVIs, and crop height measurements derived from a compact camera mounted on an unmanned aerial vehicle, UAV, to predict grain yield and determine if an additional side dress application of nitrogen and fertilizer was needed just prior to flowering. The study found that the wide dynamic range vegetation index, WDRVI, was the most effective MSVI in predicting final grain yield. Additionally, the study demonstrated that the combination of WDRVI and crop height provided the most accurate prediction of grain yield compared to other MSVIs and crop height alone. Furthermore, the study found that a grain yield of 16.12 mg.hoV-1 could be achieved when applying an economic optimum rate of n-fertilizer, 239.8 kg.n.hoV-1. This article was authored by Angel Merezma, Mara Riza, Elias Martinez, and others. We are article.tv, links in the description below.