The aquaculture industry generates enormous amounts of data every day. Data comes from sensors in the fish cages, cameras, boats, feeding centrals, but also from e-mails and notes made by the people working on the production sites as veterinarians, farmers, or managers. Large data sets are challenging to navigate and many interconnections will be difficult to detect using today's solutions. Thus, the potential value of the generated data in terms of improving aquaculture production, is still not fully exploited. The AquaGraph project will create a novel software tool for production optimization and visualisation of complex interconnections in aquaculture data by using graph databases. The project will focus the research activities (RA) towards: RA1: Graph database foundation, RA2: Visualisation of data in graph databases and RA3: Using graph databases to improve aquaculture operations. The developed tool will contribute to digitalization of the aquaculture industry, more optimal production and improved decision support by combining methods from computer science, cybernetics and the precision fish farming concept.
Project leader: Sveinung Johan Ohrem
Institution: SEARIS AS