Plant architecture is a key issue in understanding olive tree water needs. The aim of this study is to evaluate water requirements of a high-density olive grove by coupling an agro-hydrological model with UAV-based, high-resolution 2D imagery and 3D structure from motion (SfM) reconstruction. Three planting densities (1670, 1000, 500 trees ha-1) were drip irrigated according to two irrigation regimes. Evapotranspiration was estimated using FAO56 and FAO66-modified approaches. FAO66 input data (canopy volume and coverage) were quantified using manual ground-based surveys, 2D imagery and 3D SfM reconstruction. 2D imagery showed better relationships to ground-based area and volume estimates than the 3D SfM approach. Moreover, coupling the ET model with 2D data accurately predicted crop water needs.
Developing crop canopy model for irrigation of high-density olive groves by using UAV imagery
Zancanaro Ester;Vellidis George;Marinello Francesco;Morari Francesco
2019
Abstract
Plant architecture is a key issue in understanding olive tree water needs. The aim of this study is to evaluate water requirements of a high-density olive grove by coupling an agro-hydrological model with UAV-based, high-resolution 2D imagery and 3D structure from motion (SfM) reconstruction. Three planting densities (1670, 1000, 500 trees ha-1) were drip irrigated according to two irrigation regimes. Evapotranspiration was estimated using FAO56 and FAO66-modified approaches. FAO66 input data (canopy volume and coverage) were quantified using manual ground-based surveys, 2D imagery and 3D SfM reconstruction. 2D imagery showed better relationships to ground-based area and volume estimates than the 3D SfM approach. Moreover, coupling the ET model with 2D data accurately predicted crop water needs.Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
