Zhi-Da Song

UAV-based estimation of sunflower leaf flavonol content across multiple flight heights using RGB–multispectral canopy features and machine learning

Rapid and non-destructive estimation of leaf flavonol content (Flav) is important for assessing crop physiological status and stress response. In this study, unmanned aerial vehicle (UAV)-based red, green, and blue (RGB) and multispectral imagery was used to estimate sunflower leaf Flav across the seedling, budding, fl...