Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
1.9
2.1
Journals
Fishes
Special Issues
Safety Management in Fish Farming: Challenges and Further Trends
share announcement

Safety Management in Fish Farming: Challenges and Further Trends

A special issue of Fishes (ISSN 2410-3888). This special issue belongs to the section "Sustainable Aquaculture".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 3371

Special Issue Editors

Dr. Dallas L. Flickinger

E-Mail Website
Guest Editor
Department of Agriculture and Environmental Sciences, Lincoln University of Missouri, Jefferson City, MO 65101, USA
Interests: macrobrachium; IMTA; nutrient budgets; economics; alternative species; shrimp mariculture
Dr. Michael E. Barnes

E-Mail Website
Guest Editor
Department of Agriculture and Environmental Sciences, Lincoln University of Missouri, Jefferson City, MO 65101, USA
Interests: fish nutrition; fish reproduction; fisheries management; aquaculture engineering; aquaculture and fisheries occupational safety and health
Dr. Moureen Matuha

E-Mail Website
Guest Editor Assistant
Department of Agriculture and Environmental Sciences, Lincoln University of Missouri, Jefferson City, MO 65101, USA
Interests: fish nutrition; fish larval culture; economics; marketing; sensory analyses

Special Issue Information

Dear Colleagues,

Fish farming presents occupational safety risks dissimilar to those of traditional land agricultural activities given the added burden of managing water. Fish farmers are prone to accidents with machinery, electric shock, and injuries related to feeding, harvesting, handling fish, pond maintenance, harsh weather conditions, and work during night hours. Nevertheless, little information exists regarding current challenges and trends for managing safety in fish farming. I am pleased to invite you to contribute to the Special Issue “Safety Management in Fish Farming: Challenges and Further Trends” in the Fishes journal. This special issue will have a broad scope. Suggested topics include (but not limited to): literature reviews of safety in fish farming, surveys (descriptions and quantities of injuries; common equipment and associated risks; presence and descriptions of risk mitigation protocols; emergency procedures; etc.), innovations that improve safety, and evaluations of implementing experimental risk mitigation protocols. Safety management can also be viewed through the context of biosecurity as when considering the universal goal of intensifying productions. Thus, topics may include original research and literature reviews related to biosecurity risks and their mitigation; fish health and therapeutic treatments; transportation; and inspection protocols of fish stocks.

Dr. Dallas L. Flickinger
Dr. Michael E. Barnes
Guest Editors

Dr. Moureen Matuha
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fishes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fish farming
  • safety
  • risk
  • protocols
  • management
  • mitigation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

27 pages, 9925 KiB  
Article
Redefining Aquaculture Safety with Artificial Intelligence: Design Innovations, Trends, and Future Perspectives
by Feng Ma, Zewen Fan, Anna Nikolaeva and Haoran Bao
Fishes 2025, 10(3), 88; https://doi.org/10.3390/fishes10030088 - 20 Feb 2025
Viewed by 1951
Abstract
In recent years, safety concerns in aquaculture have become increasingly prominent due to various factors. Concurrently, the emergence of artificial intelligence (AI) has offered novel approaches to addressing these challenges. This paper provides a comprehensive review and synthesis of AI applications in aquaculture [...] Read more.
In recent years, safety concerns in aquaculture have become increasingly prominent due to various factors. Concurrently, the emergence of artificial intelligence (AI) has offered novel approaches to addressing these challenges. This paper provides a comprehensive review and synthesis of AI applications in aquaculture safety over the past few decades, while also suggesting future directions. Utilizing bibliometric tools such as Citespace and VOSviewer, we analyzed 513 publications spanning from 1998 to 2025. Our analysis highlighted a growing global research interest in this emerging field. Furthermore, it is forecasted that the integration of remote sensing technology, immune response monitoring, and cross-disciplinary innovations will drive the transformation of aquaculture safety management toward a more intelligent, proactive, and sustainable approach. These advancements are expected to enhance the precision and efficiency of risk assessment and disease prevention in aquaculture systems. Full article
(This article belongs to the Special Issue Safety Management in Fish Farming: Challenges and Further Trends)
►▼ Show Figures

Figure 1

22 pages, 1798 KiB  
Article
Validation of a Health Characterization Model for Tilapia Farming in a Brazilian Federative Unit
by Ricardo da Silva Raposo, Nádia Valesca Biral de Oliveira, Marina Karina de Veiga Cabral Delphino, Carlos Augusto Gomes Leal, Ana Lourdes Arrais de Alencar Mota and Fabiano José Ferreira de Sant’Ana
Fishes 2024, 9(11), 469; https://doi.org/10.3390/fishes9110469 - 20 Nov 2024
Viewed by 885
Abstract
Brasília, Distrito Federal, is among the Brazilian cities with the highest number of tilapia farms, with around 660 farms, of which 112 are commercial. The aim of this study was to validate a health characterization model for commercial tilapia production using the production [...] Read more.
Brasília, Distrito Federal, is among the Brazilian cities with the highest number of tilapia farms, with around 660 farms, of which 112 are commercial. The aim of this study was to validate a health characterization model for commercial tilapia production using the production chain in the Distrito Federal (DF), one of Brazil’s 27 federative units, by applying a semi-structured questionnaire. A total of 112 farms were categorized according to the degree of vulnerability to the introduction of pathogens and the risk of dissemination using two weighted scorecard tables that evaluated 15 items each. After calculating the mean between the two variables, the farms were classified from A (insignificant risk) to D (high risk). Most of the commercial tilapia farms in the Distrito Federal were categorized as B (39; 34.8%) and C (53; 47.3%), representing low and medium risk, respectively. When comparing the different commercial groups, a significant difference (p < 0.05) was observed in the mean scores between closed-system fattening farms and both semi-closed fattening farms and pay-to-fish farms. Closed-system fattening farms, such as those using biofloc, aquaponics, and recirculation aquaculture systems, showed the lowest vulnerability to pathogen entry and the lowest risk of disease spread. The study’s findings provide valuable health information for the official veterinary service of the DF, enabling the categorization of farms, identification of production units, and determination of the most vulnerable strata. Furthermore, the model can be easily applied by private companies and by official veterinary services in other states or countries with significant tilapia production that need to implement risk-based surveillance programs for tilapia farms. Full article
(This article belongs to the Special Issue Safety Management in Fish Farming: Challenges and Further Trends)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop