This research project aims to explore factors that affect cattle grazing preferences in a controlled research field at the University of Arkansas Agricultural and Extension Center. Using unmanned aerial vehicles (UAV) images and tracking collars, the study monitored the grazing locations of cattle in land sample plots with varying grass types, fertilization levels, and availability of trees. A neural network model was trained using the UAV images and plot characteristics to predict expected cattle visits and identify favorable factors for grazing. The results of this study will contribute to a better understanding of cattle grazing behavior and inform land management practices.