NorHAB-ML
Harmful algae blooms happen when specific algae produce toxins. They have impacts on both human health and on the economy of aquacultures. The project “Machine learning for prediction and projection of harmful algae blooms hazards” (NorHAB-ML) aims to enhance the accuracy of predicting harmful algae blooms (HABs). In particular, the project will develop a new algorithm for improving the accuracy of remote sensing on the Norwegian shelf and using coastal modelling products. NorHAB-ML aims to predict HABs harmful for aquaculture accurately, as well as high biomass bloom that can be harmful to fisheries. The geographic focus lies on the Norwegian coastal and shelf waters.
Client: Research Council of Norway
Project owner: Nansen Center