The Application of Digital Twin Technology in the Development of Intelligent Aquaculture: Status and Opportunities

文献类型： 外文期刊

第一作者： Chen, Jianlei

作者： Chen, Jianlei;Xu, Yong;Li, Hao;Zhao, Xinguo;Su, Yang;Qi, Chunhao;Qu, Keming;Cui, Zhengguo;Chen, Jianlei;Xu, Yong;Li, Hao;Zhao, Xinguo;Su, Yang;Qi, Chunhao;Qu, Keming;Su, Yang;Qi, Chunhao

作者机构：

关键词： digital twin; aquaculture; intelligent; system optimization; sustainable development

期刊名称：FISHES （ 影响因子：2.4； 五年影响因子：2.4 ）

ISSN：

年卷期： 2025 年 10 卷 8 期

页码：

收录情况： SCI

摘要： Aquaculture is vital for global food security but faces challenges like disease, water quality control, and resource optimization. Digital twin technology, a real-time virtual replica of physical aquaculture systems, emerges as a transformative solution. By integrating sensors and data analytics, it enables monitoring and optimization of water quality, feed efficiency, fish health, and operations. This review explores the current adoption status of digital twins in aquaculture, highlighting applications in real-time monitoring and system optimization. It addresses key implementation challenges, including data integration and scalability, and identifies emerging opportunities for advancing sustainable, intelligent aquaculture practices.

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