Implementation of Artificial Intelligence in Aquaculture and Fisheries: Deep Learning, Machine Vision, Big Data, Internet of Things, Robots and Beyond | Journal of Computational and Cognitive Engineering

<!DOCTYPE html> <html lang="en" xml:lang="en"> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title> Implementation of Artificial Intelligence in Aquaculture and Fisheries: Deep Learning, Machine Vision, Big Data, Internet of Things, Robots and Beyond | Journal of Computational and Cognitive Engineering </title> <link rel="icon" href="https://ojs.bonviewpress.com/public/journals/4/favicon_en_US.png"> <meta name="generator" content="Open Journal Systems 3.4.0.7"> <meta name="gs_meta_revision" content="1.1"/> <meta name="citation_journal_title" content="Journal of Computational and Cognitive Engineering"/> <meta name="citation_journal_abbrev" content="JCCE"/> <meta name="citation_issn" content="2810-9503"/> <meta name="citation_author" content="Leonard Whye Kit Lim"/> <meta name="citation_author_institution" content="Faculty of Resource Science and Technology, University Malaysia Sarawak, Malaysia"/> <meta name="citation_title" content="Implementation of Artificial Intelligence in Aquaculture and Fisheries: Deep Learning, Machine Vision, Big Data, Internet of Things, Robots and Beyond"/> <meta name="citation_language" content="en"/> <meta name="citation_date" content="2024"/> <meta name="citation_volume" content="3"/> <meta name="citation_issue" content="2"/> <meta name="citation_firstpage" content="112"/> <meta name="citation_lastpage" content="118"/> <meta name="citation_doi" content="10.47852/bonviewJCCE3202803"/> <meta name="citation_abstract_html_url" content="https://ojs.bonviewpress.com/index.php/JCCE/article/view/803"/> <meta name="citation_abstract" xml:lang="en" content="The aquaculture and fishery industry are multi-billion-dollar business across the globe, and the demand for aquatic species produce increases exponentially throughout these years. However, the depletion of aquaculture lands and aquatic pollution are some of the major worrying predicaments challenging the future of this industry. Sustainable growth strategies are the only way out, and they must come hand in hand with the implementation of artificial intelligence to achieve the desired outcome high throughput in short time periods. The intelligent fish farm and smart cage aquaculture management system are some of the fruits of this drive, and the system keeps improving to date. In this review, we provide recent updates over the past half-decade of artificial intelligence implementation in fishery and aquaculture in hope to provide highlights and future directions to push the industry to greater heights. Received: 27 February 2023 | Revised: 28 March 2023 | Accepted: 14 April 2023 Conflicts of Interest The author declares that he has no conflicts of interest to this work. Data Availability Statement Data available on request from the corresponding author upon reasonable request."/> <meta name="citation_keywords" xml:lang="en" content="artificial intelligence"/> <meta name="citation_keywords" xml:lang="en" content="aquaculture"/> <meta name="citation_keywords" xml:lang="en" content="machine vision"/> <meta name="citation_keywords" xml:lang="en" content="Internet of Things"/> <meta name="citation_keywords" xml:lang="en" content="big data"/> <meta name="citation_pdf_url" content="https://ojs.bonviewpress.com/index.php/JCCE/article/download/803/389"/> <link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" /> <meta name="DC.Creator.PersonalName" content="Leonard Whye Kit Lim"/> <meta name="DC.Date.created" scheme="ISO8601" content="2023-04-19"/> <meta name="DC.Date.dateSubmitted" scheme="ISO8601" content="2023-02-27"/> <meta name="DC.Date.issued" scheme="ISO8601" content="2024-05-21"/> <meta name="DC.Date.modified" scheme="ISO8601" content="2024-10-30"/> <meta name="DC.Description" xml:lang="en" content="The aquaculture and fishery industry are multi-billion-dollar business across the globe, and the demand for aquatic species produce increases exponentially throughout these years. However, the depletion of aquaculture lands and aquatic pollution are some of the major worrying predicaments challenging the future of this industry. Sustainable growth strategies are the only way out, and they must come hand in hand with the implementation of artificial intelligence to achieve the desired outcome high throughput in short time periods. The intelligent fish farm and smart cage aquaculture management system are some of the fruits of this drive, and the system keeps improving to date. In this review, we provide recent updates over the past half-decade of artificial intelligence implementation in fishery and aquaculture in hope to provide highlights and future directions to push the industry to greater heights. Received: 27 February 2023 | Revised: 28 March 2023 | Accepted: 14 April 2023 Conflicts of Interest The author declares that he has no conflicts of interest to this work. 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<ul class="authors"> <li> <span class="name"> Leonard Whye Kit Lim </span> <span class="affiliation"> Faculty of Resource Science and Technology, University Malaysia Sarawak, Malaysia </span> <span class="orcid"> <svg class="orcid_icon" viewBox="0 0 256 256" aria-hidden="true"> <style type="text/css"> .st0{fill:#A6CE39;} .st1{fill:#FFFFFF;} </style> <path class="st0" d="M256,128c0,70.7-57.3,128-128,128C57.3,256,0,198.7,0,128C0,57.3,57.3,0,128,0C198.7,0,256,57.3,256,128z"/> <g> <path class="st1" d="M86.3,186.2H70.9V79.1h15.4v48.4V186.2z"/> <path class="st1" d="M108.9,79.1h41.6c39.6,0,57,28.3,57,53.6c0,27.5-21.5,53.6-56.8,53.6h-41.8V79.1z M124.3,172.4h24.5 c34.9,0,42.9-26.5,42.9-39.7c0-21.5-13.7-39.7-43.7-39.7h-23.7V172.4z"/> <path class="st1" d="M88.7,56.8c0,5.5-4.5,10.1-10.1,10.1c-5.6,0-10.1-4.6-10.1-10.1c0-5.6,4.5-10.1,10.1-10.1 C84.2,46.7,88.7,51.3,88.7,56.8z"/> </g> </svg> <a href="https://orcid.org/0000-0003-4079-9630" target="_blank"> https://orcid.org/0000-0003-4079-9630 </a> </span> </li> </ul> </section> <section class="item doi"> <h2 class="label"> DOI: </h2> <span class="value"> <a href="https://doi.org/10.47852/bonviewJCCE3202803"> https://doi.org/10.47852/bonviewJCCE3202803 </a> </span> </section> <section class="item keywords"> <h2 class="label"> Keywords: </h2> <span class="value"> artificial intelligence, aquaculture, machine vision, Internet of Things, big data </span> </section> <section class="item abstract"> <h2 class="label">Abstract</h2> <p>The aquaculture and fishery industry are multi-billion-dollar business across the globe, and the demand for aquatic species produce increases exponentially throughout these years. However, the depletion of aquaculture lands and aquatic pollution are some of the major worrying predicaments challenging the future of this industry. Sustainable growth strategies are the only way out, and they must come hand in hand with the implementation of artificial intelligence to achieve the desired outcome high throughput in short time periods. The intelligent fish farm and smart cage aquaculture management system are some of the fruits of this drive, and the system keeps improving to date. In this review, we provide recent updates over the past half-decade of artificial intelligence implementation in fishery and aquaculture in hope to provide highlights and future directions to push the industry to greater heights.</p> <p> </p> <p><strong>Received</strong>: 27 February 2023 | <strong>Revised</strong>: 28 March 2023 | <strong>Accepted</strong>: 14 April 2023</p> <p> </p> <p><strong>Conflicts of Interest</strong></p> <p>The author declares that he has no conflicts of interest to this work.</p> <p> </p> <p><strong>Data Availability Statement</strong></p> <p>Data available on request from the corresponding author upon reasonable request.</p> </section> <br /><div class="separator"></div><div class="item abstract" id="trendmd-suggestions"></div><script defer src='//js.trendmd.com/trendmd.min.js' data-trendmdconfig='{"website_id":"89267", "element":"#trendmd-suggestions"}'></script><div class="item downloads_chart"> <h3 class="label"> Metrics </h3> <div id="paperbuzz"><div id="loading">Metrics Loading ...</div></div> <script type="text/javascript"> window.onload = function () { var options = { paperbuzzStatsJson: JSON.parse('{\"altmetrics_sources\":[{\"events\":null,\"events_count\":1218,\"events_count_by_day\":[{\"count\":\"2\",\"date\":\"2023-04-19\"},{\"count\":\"1\",\"date\":\"2023-04-20\"},{\"count\":\"2\",\"date\":\"2023-04-21\"},{\"count\":\"1\",\"date\":\"2023-04-23\"},{\"count\":\"1\",\"date\":\"2023-04-24\"},{\"count\":\"1\",\"date\":\"2023-04-25\"},{\"count\":\"1\",\"date\":\"2023-04-27\"},{\"count\":\"2\",\"date\":\"2023-04-30\"},{\"count\":\"2\",\"date\":\"2023-05-01\"},{\"count\":\"1\",\"date\":\"2023-05-04\"},{\"count\":\"1\",\"date\":\"2023-05-06\"},{\"count\":\"7\",\"date\":\"2023-05-09\"},{\"count\":\"1\",\"date\":\"2023-05-10\"},{\"count\":\"1\",\"date\":\"2023-05-13\"},{\"count\":\"1\",\"date\":\"2023-05-18\"}],\"events_count_by_month\":[{\"count\":\"11\",\"date\":\"2023-04\"},{\"count\":\"28\",\"date\":\"2023-05\"},{\"count\":\"44\",\"date\":\"2023-06\"},{\"count\":\"36\",\"date\":\"2023-07\"},{\"count\":\"55\",\"date\":\"2023-08\"},{\"count\":\"38\",\"date\":\"2023-09\"},{\"count\":\"34\",\"date\":\"2023-10\"},{\"count\":\"37\",\"date\":\"2023-11\"},{\"count\":\"29\",\"date\":\"2023-12\"},{\"count\":\"31\",\"date\":\"2024-01\"},{\"count\":\"27\",\"date\":\"2024-02\"},{\"count\":\"48\",\"date\":\"2024-03\"},{\"count\":\"42\",\"date\":\"2024-04\"},{\"count\":\"70\",\"date\":\"2024-05\"},{\"count\":\"128\",\"date\":\"2024-06\"},{\"count\":\"82\",\"date\":\"2024-07\"},{\"count\":\"105\",\"date\":\"2024-08\"},{\"count\":\"101\",\"date\":\"2024-09\"},{\"count\":\"146\",\"date\":\"2024-10\"},{\"count\":\"126\",\"date\":\"2024-11\"}],\"events_count_by_year\":[{\"count\":\"312\",\"date\":\"2023\"},{\"count\":\"906\",\"date\":\"2024\"}],\"source\":{\"display_name\":\"File downloads\"},\"source_id\":\"fileDownloads\"}],\"crossref_event_data_url\":\"https:\\/\\/api.eventdata.crossref.org\\/v1\\/events?rows=1000&filter=from-collected-date:1990-01-01,until-collected-date:2099-01-01,obj-id:10.47852\\/bonviewjcce3202803\",\"doi\":\"10.47852\\/bonviewjcce3202803\",\"metadata\":{\"DOI\":\"10.47852\\/bonviewjcce3202803\",\"ISSN\":[\"2810-9503\"],\"URL\":\"http:\\/\\/dx.doi.org\\/10.47852\\/bonviewjcce3202803\",\"abstract\":\"<jats:p>The aquaculture and fishery industry are multi-billion-dollar business across the globe, and the demand for aquatic species produce increases exponentially throughout these years. 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Implementation of Artificial Intelligence in Aquaculture and Fisheries: Deep Learning, Machine Vision, Big Data, Internet of Things, Robots and Beyond | Journal of Computational and Cognitive Engineering