Samarbete

In this project we will use Artificial Intelligence (AI) and statistical models to aid the transition from a human experience-based management of RAS production to a knowledge-based automatic one. Feed management, feeding and feed waste is a major challenge to production. In marine aquaculture, video systems are widely used to observe the fish.

The CDI-NANO-RAS project aims at testing novel technologies for the control of off chemicals in RAS as well as purging systems. We hypothesise that the combined use of novel capacitive deionization (CDI) technology and photocatalytic nanotechnological surface coatings can provide an energetically efficient method for the control of off-taste development in RAS as well as in reducing the duration and water usage in pre-harvest purging. The overall aim is to develop cost effective solutions applicable for the modern RAS industry.

We follow the principles of “Integrative Social Robotics,” a strictly value-oriented approach, and for this reason focus on the use of robots as facilitators of human social interactions, and not as replacements of human actors.

Overall, our goal is to bring together critical mass and to form a network to serve particularly Nordic industries that could benefit from progress in smart textiles.

The key breakthrough we aim to accomplish in this project is based on specific advantages of graphene: i) its ability to physically penetrate the bacterial biofilm, and ii) its ability to serve as a loading point for large amounts of hydrophobic drugs.