Samir is interested in utilizing both ground-based and airborne observations with models, to enable the precision management of water use and crop health: with a particular focus on these industrial-scale fruits orchards. Current water use models tend not to consider tree phenology in much detail, particularly in the dryland environments typical of Saudi Arabia. Model, as well as observational improvements, are required to better capture water-use dynamics. The use of high-resolution UAV data to map the spatial and temporal heterogeneity of the field. As well as the use of Cosmic Ray Neutron sensors (CRNS) to estimate both soil moisture and tree-crop water use behavior. The ultimate goal is to develop a monitoring and prediction framework to assess crop water needs and crop health and condition through integrating UAV and ground-based measurements.
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