The current practice used to evaluate broadleaf weed cover in turfgrass is visual assessment, which time consuming and often leads inconsistencies among evaluators. In this study, we investigated the effectiveness of constructing Random Forest models (RF), either pixel-, object-based (OBIA) or a combination both detect quantify cover. High resolution multispectral images were captured 136 plots...