This project will try to apply different machine learning methods to help support operations and decision making in the aquaculture industry and on aquaculture sites.
More specifically we would apply different ML methods on data provided by the aquaculture industry (via SFI Exposed or other similar projects) to predict operational parameters, e.g.: fish welfare, fish feeding, fish growth, HMS danger levels on operational sites, predictive maintainance of sites..
These predictions could be based on e.g. camera feeds from the aquaculture cage, movement sensors, close proximity bouy sensors.