The nexus of IoT and aquaculture: A bibliometric analysis

Abderahman Rejeb , Karim Rejeb , John G. Keogh
{"title":"The nexus of IoT and aquaculture: A bibliometric analysis","authors":"Abderahman Rejeb ,&nbsp;Karim Rejeb ,&nbsp;John G. Keogh","doi":"10.1016/j.afres.2025.100838","DOIUrl":null,"url":null,"abstract":"<div><div>The Internet of Things (IoT) in aquaculture presents significant opportunities for improving the sector's productivity, sustainability, and resilience. This study aims to achieve two primary goals: to deliver an extensive overview of IoT applications in aquaculture and to pinpoint emerging trends and research gaps, thereby directing future academic endeavors in the aquaculture field. Through bibliometric analysis, which involved keyword co-occurrence and article co-citation network analyses, we investigated 428 publications from 2012 to 2024 retrieved from Scopus. The review indicates a significant rise in investigative efforts, especially in recent years, highlighting the sector's increasing focus on the role of IoT in tackling the distinct challenges aquaculture faces, including water quality monitoring, disease prevention, and resource efficiency. Prominent themes recognized encompass advanced aquaculture systems, water quality and health monitoring, and sophisticated forecasting tools. This investigation enhances the existing knowledge base by emphasizing key themes, significant studies, and essential technological advancements in IoT-enabled aquaculture, providing one of the initial bibliometric assessments in this swiftly developing field. Future research should focus on enhancing interoperability among IoT devices, improving data security and privacy, integrating artificial intelligence for predictive analytics, and expanding IoT applications to support small-scale and resource-constrained aquaculture operations.</div></div>","PeriodicalId":8168,"journal":{"name":"Applied Food Research","volume":"5 1","pages":"Article 100838"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Food Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772502225001489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Internet of Things (IoT) in aquaculture presents significant opportunities for improving the sector's productivity, sustainability, and resilience. This study aims to achieve two primary goals: to deliver an extensive overview of IoT applications in aquaculture and to pinpoint emerging trends and research gaps, thereby directing future academic endeavors in the aquaculture field. Through bibliometric analysis, which involved keyword co-occurrence and article co-citation network analyses, we investigated 428 publications from 2012 to 2024 retrieved from Scopus. The review indicates a significant rise in investigative efforts, especially in recent years, highlighting the sector's increasing focus on the role of IoT in tackling the distinct challenges aquaculture faces, including water quality monitoring, disease prevention, and resource efficiency. Prominent themes recognized encompass advanced aquaculture systems, water quality and health monitoring, and sophisticated forecasting tools. This investigation enhances the existing knowledge base by emphasizing key themes, significant studies, and essential technological advancements in IoT-enabled aquaculture, providing one of the initial bibliometric assessments in this swiftly developing field. Future research should focus on enhancing interoperability among IoT devices, improving data security and privacy, integrating artificial intelligence for predictive analytics, and expanding IoT applications to support small-scale and resource-constrained aquaculture operations.
物联网与水产养殖的关系:文献计量学分析
水产养殖中的物联网(IoT)为提高该部门的生产力、可持续性和复原力提供了重要机会。本研究旨在实现两个主要目标:全面概述物联网在水产养殖中的应用,明确新兴趋势和研究差距,从而指导未来水产养殖领域的学术努力。通过文献计量分析,包括关键词共现和文章共被引网络分析,对Scopus检索的2012 - 2024年428篇论文进行了调查。该审查表明,调查工作显著增加,特别是近年来,突出表明该部门越来越关注物联网在解决水产养殖面临的独特挑战方面的作用,包括水质监测、疾病预防和资源效率。公认的突出主题包括先进的水产养殖系统、水质和健康监测以及复杂的预测工具。该调查通过强调物联网水产养殖的关键主题、重要研究和基本技术进步,增强了现有的知识库,为这一迅速发展的领域提供了初步的文献计量评估之一。未来的研究应侧重于增强物联网设备之间的互操作性,提高数据安全性和隐私性,整合人工智能进行预测分析,以及扩展物联网应用以支持小规模和资源受限的水产养殖操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.50
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信