Research

An effective production System of Systems for fruit and berries

Status: On-going

Robotics and data science are being explored as means to transform fruit and berry production into a smarter and more sustainable system. Robot- and data-driven solutions are being developed and tested in real agricultural environments, with the aim that labor challenges may be reduced, productivity increased, and sustainability improved. Practical tools that can be trusted by farmers are intended to be created. Through collaboration among growers, researchers, and technology partners, measurable, replicable, and future-ready production systems for crops such as raspberries are being designed.

Collaborators: HVL, Vestlandsforsking, nLink, Sognabær, Sogn Frukt og Grønt

USVs Integration in Offshore Wind for Zero Emission O&M Using Digital Twin (USV0-OWDT).

Status: On-going

Operation and Maintenance (O&M) of offshore wind farms are analyzed using a Discrete Event Simulation–based optimization framework. Offshore wind systems are modeled as complex, uncertain environments where failures, weather, logistics, and resources interact dynamically. By combining simulation with optimization, different maintenance and logistics strategies are evaluated to identify cost-effective solutions. The approach is intended to reduce O&M costs, improve turbine availability, and support better decision-making for offshore wind farm planning and operations.

Collaborators: HVL, Safetec As, Deep Ocean, Deep Wind Offshore