Aquaculture and Computers – Innovations and Applications

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 16 | Issue : 02 | Page : –
    By

    V. Basil Hans,

  1. Research Professor, Department of Management & Commerce, Srinivas University, Mangaluru, Karnataka, India

Abstract

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Aquaculture, the cultivation of aquatic organisms for commercial purposes, has grown significantly over the past few decades due to the increasing global demand for seafood. The integration of computer technologies into aquaculture has revolutionized the industry, enabling more efficient management of resources, improved production processes, and enhanced sustainability. Computers and digital systems facilitate real-time monitoring of water quality, fish health, and feeding systems, while data analytics and artificial intelligence (AI) aid in optimizing growth conditions, reducing waste, and predicting disease outbreaks. Automation technologies, such as robotics and IoT (Internet of Things) sensors, also support the precision farming of aquatic species, leading to higher yields and reduced environmental impacts. This abstract explores the role of computer technologies in modern aquaculture, emphasizing their contributions to improving operational efficiency, promoting sustainability, and ensuring food security in an increasingly resource-constrained world.

Keywords: Sensors, food security, commercial species, farmed fish area, unfavorable predators

[This article belongs to Journal of Computer Technology & Applications ]

How to cite this article:
V. Basil Hans. Aquaculture and Computers – Innovations and Applications. Journal of Computer Technology & Applications. 2025; 16(02):-.
How to cite this URL:
V. Basil Hans. Aquaculture and Computers – Innovations and Applications. Journal of Computer Technology & Applications. 2025; 16(02):-. Available from: https://journals.stmjournals.com/jocta/article=2025/view=0



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References

  1. Yue K, Shen Y. An overview of disruptive technologiesfor aquaculture. Aquaculture and Fisheries. 2022 Mar 1;7(2):111-20.
  2. Parker NC. Technological innovations in aquaculture. Fisheries. 1984 Jul 1;9(4):13-6.
  3. Wang C, Li Z, Wang T, Xu X, Zhang X, Li D. Intelligent fish farm—the future of aquaculture. Aquaculture International. 2021 Dec 1:1-31.
  4. Dhinakaran D, Gopalakrishnan S, Manigandan MD, Anish TP. IoT-Based Environmental Control System for Fish Farms with Sensor Integration and Machine Learning Decision Support. arXiv preprint arXiv:2311.04258. 2023 Nov 7.
  5. Parra L, Sendra S, García L, Lloret J. Design and deployment of low-cost sensors for monitoring the water quality and fish behavior in aquaculture tanks during the feeding process. Sensors. 2018 Mar 1;18(3):750.
  6. Kim T, Lee J, Fredriksson DW, DeCew J, Drach A, Yim SC. Design approach of an aquaculture cage system for deployment in the constructed channel flow environments of a power plant. Plos one. 2018 Jun 13;13(6):e0198826.
  7. Scuderi B. Assessing Market Integration Among Aquaculture Products and Production Efficiency in New England’s Oyster Aquaculture Industry. The University of Maine; 2017.
  8. Teixeira RR, Puccinelli JB, Poersch L, Pias MR, Oliveira VM,Janati A, Paris M. Towards precision aquaculture: A high performance, cost-effective IoT approach. arXiv preprint arXiv:2105.11493. 2021 May 24.
  9. Enayati M, Arlikatti S, Ramesh MV. A qualitative analysis of rural fishermen: Potential for blockchain-enabled framework for livelihood sustainability. Heliyon. 2024 Jan 30;10(2).
  10. von Lukas UF, Quarles J, Kaklis P, Dolereit T. Underwater mixed environments. InVirtual Realities: International Dagstuhl Seminar, Dagstuhl Castle, Germany, June 9-14, 2013, Revised Selected Papers 2015 (pp. 56-76). Springer International Publishing.
  11. Vasiljević A, Borović B, Vukić Z. Augmented reality in marine applications. Brodogradnja: An International Journal of Naval Architecture and Ocean Engineering for Research and Development. 2011 Jun 15;62(2):136-42.
  12. Ascui F, Haward M, Lovell H. Salmon, sensors, and translation: The agency of Big Data in environmental governance. Environment and Planning D: Society and Space. 2018 Oct;36(5):905- 25.
Regular Issue Subscription Review Article
Volume 16
Issue 02
Received 04/03/2025
Accepted 10/04/2025
Published 16/04/2025
Publication Time 43 Days
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