A key part of the project involves field and laboratory testing of the new sensors and components of the Autonomous Monitoring Box (AMB), (AI Product 1). The results are then compared to the laboratory measurements to evaluate the AMB's biochemical analysis accuracy. During experimental measurements with the CytoSub and PlanktoScope, images of various phytoplankton species are taken. These images are then used with publicly available image databases to train the FAIR image recognition tool (AI Product 2).

For the development of improved satellite algorithms (AI Product 3), a Ramses spectral radiometer, which is attached to the ship's hull, measures the water color in situ. These results can then be compared with satellite measurements. To do this, shipborne measurements must be synchronized with the overflight times of the right satellites. Primary production measurements carried out in the laboratory on water samples collected during the ship's excursions complement this approach. This will enable us to determine the CO₂ sink function with high resolution and on a large scale for the coastal waters of the Baltic Sea in the future. An AI-supported visualization tool (AI Product 4) will make the state of the algae in the near-coastal Baltic Sea easily understandable to the public. Regular cruises to Boknis Eck provide a solid foundation of data on which to develop the new tool.