 Crop monitoring is essential for precision agriculture, as it allows growers to accurately estimate the vitality of their crops and predict yields. This study used a combination of high resolution imagery and plant height data collected from a small unmanned aerial vehicle, UAV, to measure the fresh and dry biomass of a variety of barley cultivars at various stages of development. The researchers found that the plant height data obtained from the UAV correlated strongly with both fresh and dry biomass estimates, providing a reliable and cost-effective way to monitor crop health and productivity. Additionally, the study showed that the modeling of biomass between different nitrogen treatments provided the most accurate results. This article was authored by Julianne Bendig, Andreas Bolton, Simon Benertz and others.