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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify
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) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial Modelling, Robotics, Sensor Technologies, ML etc.) to carry-out rapid, wide-area mapping, 2.5D real-world modelling and highly automated feature
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societal performance of HBGI interventions. • Support the setup and monitoring of experimental HBGI deployments, using tools such as LiDAR, wave sensors, sediment elevation devices, and biodiversity
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create reports to a high level of detail after analysing raw data from sensors. The person will be actively involved in adhering to a quality system and be a willing participant in the promotion of a safe