 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 captured from a small unmanned aerial vehicle, UAV, along with plant height data collected from a crop surface model, CSM, to estimate both fresh and dry biomass on a summer barley test site. The results showed a strong correlation between the plant height data and the actual biomass, with an R2 value of 0.92. Additionally, five models were developed to estimate biomass between different nitrogen treatments, with the best performing model achieving an R2 value of 0.71. This method could be useful for farmers who are not professionally trained, allowing them to easily assess the health of their crops and make informed decisions about fertilizer applications. This article was authored by Julian Bindig, Andreas Bolton, Simon Benertz, and others. We are article.tv, links in the description below.