The overall aim of this VINNOVA funded project is to improve aquaculture through the use of AI and advanced data analysis. For this purpose, we use a combination of video and sound recording devices (GoPro, hydrophones) underwater. This project is divided in several work-packages:
- Optimised feeding through fish behaviour analysis
- Biomass estimation
- Adaptive feeding
This project is a collaboration between the University of Gothenburg, IVL, INNOVATUM and our industrial partners, Smögenlax AB & Gårdsfisk.
Main funding agency (2022), VINNOVA, 600,000 SEK
Contact persons: Torbjörn Johansson (IVL) and myself, Jonathan Roques (GU)
Measuring sound of eating fish in a RAS tank in order to optimize feeding in aquaculture