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Recent Developments in Recirculating Aquaculture Systems: A Review

Abstract

This article presents the recent advancements in recirculating aquaculture systems (RAS). The review explores new developments and potential future breakthroughs in RAS systems across leading countries. It highlights technical and technological advancement in plant management aimed at improving water quality, production efficiency, and animal welfare. A significant aspect of recent progress is the integration of artificial intelligence (AI), which is being used to optimize system performance, enhance monitoring, and support more precise and predictive management strategies. The review also addresses advancements in pathogen control and the prevention of disease outbreaks. Specific case studies of cutting-edge RAS systems from different parts of the world are discussed. The review also investigates how the improvements in RAS technology can help mitigate environmental impact. Finally, the paper focuses on advancements in the production of six fish species farmed in Europe, namely Atlantic salmon (Salmo salar), European seabass (Dicentrarchus labrax), gilthead seabream (Sparus aurata), yellowtail kingfish (Seriola lalandi), arctic charr (Salvelinus alpinus), and rainbow trout (Oncorhynchus mykiss). This review is part of the ERA-NET BlueBio cofound-funded project titled “Optimizing land-based fish production in next generation digital recirculating aquaculture systems,” which is focusing on the above-mentioned fish species.
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Category

Academic literature review

Language

English

Author(s)

  • Shruti Gupta
  • Pavlos Makridis
  • Ingrid Annemarie Henry
  • Michael Velle-George
  • Deni Ribičić
  • Amit Bhatnagar
  • Kinga Skalska-Tuomi
  • Ehsan Daneshvar
  • Elia Ciani
  • David Weman Persson
  • Roman Netzer

Affiliation

  • SINTEF Ocean / Aquaculture
  • LUT University, Mikkeli
  • University of Patras
  • Norwegian University of Life Sciences
  • AKVA group
  • Andre institusjoner

Year

2024

Published in

Aquaculture Research

ISSN

1355-557X

Volume

2024

View this publication at Norwegian Research Information Repository