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Research Programm of the GraKo
Das Forschungsprogramm des Graduiertenkollegs des Joint Lab umfasst insbesondere die folgenden Forschungsschwerpunkte:
- Explainable AI Methods for Multimodal Data in the Bioeconomy
- Trustworthy Intelligent Soil Mapping
- Informed Machine Learning on Sparse Data and Information in the context of barn climate and emissions
- Integration of AMS data and animal-individual data on vitality, performance and health as well as barn climate for animal health management (dairy)
- Deployment Strategies for in-situ Sensors in Agriculture
- Network as a Sensor in Agriculture
- Reconfigurable ROS Nodes for Modular Agricultural Robots
- Interpretable machine learning methods for identifying plant stress in crops by using and optimizing UAV data
- Estimation and prediction of biophysical crop parameters and water-deficit stresses, using multi-sensor satellite data and AI
- Integrated AI analysis of geometric and spectral UAV data using machine learning to derive high-resolution bio-physical and bio-chemical plant properties in agroforestry systems
- Monitoring biodiversity of agroforestry systems, using multisensor Earth-Observation data and deep learning
- Intelligent Processes for High-Quality Food Production
- Digital twins for sensor data-based drying of biomass under changing outdoor weather conditions
- Development of process models for bioconversion
- Modelling and efficient processing of complex sensor data for knowledge discovery and real-time change detection of fruit respiration rate during long-term cold storage
- Development of predictive models to control the anaerobic digestion process
