 Unmanned aerial vehicles, UAVs, are being used more frequently in precision agriculture applications, such as monitoring crops for disease or nutrient deficiencies. In this paper, the authors demonstrate how UAVs can be used to capture multispectral imagery and analyze it using various indices to determine the health of crops. They found that the NDVI, GNDVI, and SAVI indices could be used to detect differences between healthy and unhealthy crops. Additionally, they showed that the use of UAVs can provide faster and cheaper data collection than traditional methods, making them ideal for precision agricultural applications. This article was authored by Sebastian Candiado, Fabio Riemondino, Mikayla de Giglio, and others.