Estimating Canopy Structure Parameters and Leaf Nitrogen in Olive Orchards Using UAV Imagery Across Two Agro-Ecological Zones in Tunisia
Marius Hobart·Michael Schirrmann·Amel Ben Hamouda·Pierre Ellssel·Cornelia Weltzien·Antje Giebel·Olfa Boussadia
Optimizing olive orchard management requires timely, per-tree data to enhance productivity and sustainability. Unoccupied aerial vehicle (UAV)-based red, green, and blue (RGB) imagery offers a low-cost solution for acquiring high-resolution spatiotemporal insights for orchard management, which are not yet common in Tunisia. This study monitored tree structural parameters, leaf area index (LAI), and leaf nitrogen content (%N DW) in two Tunisian olive orchards during 2022 and 2023. UAV-derived ima
