Focus Area 3
Proximal Sensing with Autonomous Robots
Scientific Hypothesis
- Fusing multi-modal sensor data improves the 3D model and anomaly detection.
- Long-term sensing data enhances models for plant growth and intercropping system performance
Aims
- Develop AI models to represent plant structures and detect anomalies using sensor input.
- Build a long-term, evolving dataset of intercropping systems for training and testing AI models.
Area leadership
Please contact us if you have any questions regarding the research area
Lazaros Nalpantidis
Danish Technical University
Scientific Lead, Focus Area 3
Ulrik Pagh Lundquist
University of Southern Denmark
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