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iFishIENCi - Intelligent Fish feeding through Integration of Enabling technologies and Circular principles

iFishIENCi - Intelligent Fish feeding through Integration of Enabling technologies and Circular principles

The iFishIENCi EU funded project is bringing together 16 partners in a trans-disciplinary effort towards making genuine improvements to fish farming worldwide. Fish aquaculture is essential for providing healthy food to a growing world population, but its success depends upon our ability to find more sustainable farming practices. This means more effective ways of monitoring fish-health and welfare, as well as more efficient ways of feeding fish that reduce pressure upon the source of fish-feed ingredients, such as agricultural crops and wild-caught fish for fishmeal and oil. The ambition of iFishIENCi is developing and demonstrating disruptive IoT/AI based innovations, considering the feeding value chain as a whole, and addressing four commercially-important species, with fish quality as focus.

Through close collaborations between engineers and fish biologists, the smart feeding and monitoring systems will be more elaborate and precise. We will identify new value chains for the valorisation of specific waste (dirty water, sludge) from different production systems, leading to zero-waste target and value creation. We will also demonstrate how strain selection and smart breeding can support optimizing the feeding efficiency for alternative feeds in African catfish where cheap and sustainable feed ingredients would be essential to ensure the growth of EU production and fulfil the protein needs of the developing countries.

Contact

Lars Ebbesson

Chief Scientist, Senior Aquaculture Advisor - Grimstad

laeb@norceresearch.no
+47 56 10 74 10
+46 730 598 600

Project facts

Name

iFishIENCi - Intelligent Fish feeding through Integration of Enabling technologies and Circular principles

Status

CONCLUDED

Duration

01.11.18 - 31.07.23

Location

Bergen

Total budget

72.000.000 NOK

Research areas

Research group

Research Topics

Funding

EC/H2020

Prosjekteier

AquaBioTech Group

Project members

Tamás Bardócz
I-Hao Chen
Dominique Durand
Publications
Acoustic tags versus camera—a case study on feeding behaviour of European seabass in sea cages – Chen, I-Hao; Georgopoulou, Dimitra G.; Ebbesson, Lars; Voskakis, Dimitris; Zanna, Antonella Munthe-Kaas; Papandroulakis, Nikos. 2025, Frontiers in Marine Science. UIB, NORCE, HELLAS.
Peak detection - An argument for using persistent homology and topographic prominence in (biological) time series[and why it needs better marketing] – Chen, I-Hao. 2024, . NORCE.
Feeding time is not just feeding time: Signals from around the meals – Chen, I-Hao. 2024, . NORCE.
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