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Sustainable Transformation of Aquaculture in Marine Environments

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water, Agriculture and Aquaculture".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 1105

Special Issue Editor


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Guest Editor
Department of Fisheries and Aquaculture, School of Agricultural Sciences, University of Patras, GR30200 Patras, Greece
Interests: Mediterranean aquaculture; risk management; low trophic species; IMTA; bivalve conservation; biofouling; environmental interactions; mass mortalities
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Special Issue Information

Dear Colleagues,

The global trends towards adapting to increasing food demand by producing and using less resources under climate pressures, such as long-term marine heat waves, requires a total “re-engineering” of the marine aquaculture sector. Sustainable blue growth constitutes an emergency.    

Blue growth incorporates aquaculture as the major source for food production. Marine aquaculture has to grow in the forthcoming decades to cover the emerging demand for healthy and nutritious protein resources as a potential response to the global population’s explotion. However, this effort has to be adapted to the new pressures generated from climate change and resource limitations. Aquaculture has to be aligned with the “Green Deal”, especially in the EU, by “re-engineering” the whole industry processes in marine environents. “Tranformation” of marine aquaculture practices is the objective of the present Special Issue, focusing on achievements that minimize the environmental foot print based on the the circular economy principles along the marine farming value chain.

Transformation Strategies includes the following:

  • Re-cycling: nutrients recycling, IMTA, low-trophic marine species aquaculture, marine aquaponics, environenmental interactions;
  • Re-manufacturing: new feed ingredients, alternative bioresources, packaging material cations, alternative energy supply;  
  • Re-using: re-use materials in the value chain, LCA, carbon footprint mitigation;
  • Re-placing: feeding substitutes, IT tools, artificial intelligence for marine farm management transformation;
  • Ecosystem services: provided though marine farming transformation, include aquaculture-based conservation strategies for marine biodiversity restoration;
  • Risk mitigation: management measures to support the success of this transition under pressures (mass mortalities and diseases outbreaks) such as marine heat waves.   

Dr. John A. Theodorou
Guest Editor

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Keywords

  • LCA
  • marine aquaculture
  • low trophic
  • IMTA
  • fish
  • invertabrates
  • ecosystem services
  • carbon footprint
  • risk management
  • blue transformation
  • green deal

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Published Papers (1 paper)

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Research

23 pages, 968 KiB  
Article
Exploring Aquaculture Professionals’ Perceptions of Artificial Intelligence: Quantitative Insights into Mediterranean Fish Health Management
by Dimitris C. Gkikas, Vasileios P. Georgopoulos and John A. Theodorou
Water 2024, 16(24), 3595; https://doi.org/10.3390/w16243595 - 13 Dec 2024
Viewed by 874
Abstract
This study aims to explore aquaculture professionals’ perspectives on, attitudes towards and understanding of Mediterranean farm fish health management, regarding Artificial Intelligence (A.I.), and to shed light on the factors that affect its adoption. A survey was distributed during a major fish health [...] Read more.
This study aims to explore aquaculture professionals’ perspectives on, attitudes towards and understanding of Mediterranean farm fish health management, regarding Artificial Intelligence (A.I.), and to shed light on the factors that affect its adoption. A survey was distributed during a major fish health management conference, representing more than 70% of Greek domestic production. A total of 73 questionnaires were collected, for which descriptive statistics and statistical analysis followed. Gender and age were shown to affect interest in A.I. and in viewing A.I. as a partner rather than a competitor. Age was additionally shown to affect trust in A.I. estimates and anticipation that A.I. will contribute to professional development. Education level shows no significant effect. Knowledge of A.I. is positively correlated with A.I. usage (r = 0.43, p < 0.05), as is interest in learning about A.I. (r = 0.64). A.I. usage is in turn positively correlated with eagerness to see its contribution (r = 0.72). Despite the fact that 64.4% characterized their knowledge as little or non-existent, 67.1% expressed interest in learning more, while 43.8% believe that A.I. will revolutionize aquaculture and 74% do not fear they will be replaced by A.I. in the future. The findings highlight the importance of targeted educational initiatives to bridge the knowledge gap and encourage trust in A.I. technologies. Full article
(This article belongs to the Special Issue Sustainable Transformation of Aquaculture in Marine Environments)
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