My research focuses on UAV-based high-throughput crop phenotyping. The academic work centers on using drone RGB, multispectral and hyperspectral imagery, combined with machine learning and artificial intelligence, to estimate key agronomic traits such as yield, biomass, harvest index, plant height, and seedling emergence. More broadly, my interests lie in precision agriculture, remote sensing, crop phenotyping, and data-driven agricultural monitoring.