The Application of Digital Twin Technology in the Development of Intelligent Aquaculture: Status and Opportunities
文献类型： 外文期刊
作者： Chen, Jianlei 1 ; Xu, Yong 1 ; Li, Hao 1 ; Zhao, Xinguo 1 ; Su, Yang 1 ; Qi, Chunhao 1 ; Qu, Keming 1 ; Cui, Zhengguo 1 ;
作者机构： 1.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, State Key Lab Mariculture Biobreeding & Sustainabl, Qingdao 266071, Peoples R China
2.Qingdao Marine Sci & Technol Ctr, Lab Marine Fisheries Sci & Food Prod Proc, Qingdao 266237, Peoples R China
3.Dalian Ocean Univ, Sch Nav & Naval Architecture, Dalian 116023, Peoples R China
4.Dalian Ocean Univ, Coll Fisheries & Life Sci, Dalian 116023, Peoples R China
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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