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Field
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characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development
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of external conditions. Recent work has demonstrated the strong potential of combining Internet of Things (IoT) devices with artificial intelligence in the cloud, but to date no solution has proposed embedding
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matua Background: The bryophytes (mosses, liverworts and hornworts) are a truly remarkable group of plants, occupying varied and often extreme environments, ranging from lush cloud forests through
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for simulation, and data/cloud platforms. Contact For further information please contact: Professor Ulrik Pagh Schultz Lundquist ups@mmmi.sdu.dk Associate Professor Aljaz Kramberger alk@mmmi.sdu.dk Associate
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The SIGCOM research group, headed by Prof. Symeon CHATZINOTAS, carries out research
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cloud data centres. However, this can come at the cost of performance and slower function processing, which manifests as higher energy consumption and increased operational costs (OpEx) for operators. So
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photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development of the methodology. The use of new methods and new technology is a key component of the
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, enabling early simulation and testing without physical hardware. AI- enhanced DTs are increasingly applied for real-time anomaly detection, adaptive calibration, and predictive mainte- nance, while cloud
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, namely horizontal advection, thermal stratification, vertical mixing, entrainment, cloud effects, and boundary layer heights. These indicators help to describe local cooling and warming in the context
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. Collect and analyze data from diverse sources, including plant- and soil-based sensors, images, 3D point clouds, remote sensing, environmental variables, physiological measurements, and management records