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HIFAI - Sustainable industrial fish production using AI and advanced data analysis - implementation

Reference number
Coordinator IVL Svenska Miljöinstitutet AB
Funding from Vinnova SEK 3 298 685
Project duration February 2023 - December 2025
Status Completed
Venture Strategic innovation programme for process industrial IT and automation – PiiA
Call PiiA: The Process Industry of the Future-Data-Driven and Sustainable - Autumn 2022

Important results from the project

The project objectives were achieved through the development and testing of a prototype in a production environment. Results show that fish appetite and growth can be monitored using image and sound analysis, enabling activity-based feeding control and non-invasive biomass estimation. The project has also generated valuable knowledge about the strengths and limitations of the technology in RAS environments and established a foundation for further development toward practical application.

Expected long term effects

Feed waste can represent a significant share of feed use in some facilities, meaning that even small reductions can yield substantial economic and environmental benefits. Lower feed consumption reduces costs and climate impact while improving water quality, and continuous biomass estimation enables better planning and delivery reliability. At a societal level, the technology can support increased domestic fish production, reduced import dependence, and a more sustainable food system.

Approach and implementation

Activities were relevant but were affected by periods of limited availability and unforeseen challenges in the production environment. This delayed data collection and development at times. Work related to oxygen measurements and parts of the acoustic analysis required reprioritization to stay within the timeline and budget. The overall schedule was largely maintained, although work had to be adapted to data collection opportunities. Collaboration among the project partners functioned well.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 10 March 2026

Reference number 2022-03589