 Unmanned aerial vehicles, UAVs, are being used more frequently in precision agriculture applications, such as monitoring crops for disease or pest infestations. In this paper, the authors demonstrate how UAVs can be used to capture multi-spectral 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 a valuable tool for precision agriculture. This article was authored by Sebastian Candiego, Fabio Riemondino, Mikayla de Giglio, and others.