Research on the Development and Application of an Intelligent Aquaculture System

Yi Nie, Huaining Yang, Kun Qu, Lianbo Zhang and Jinyu Du
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Yi Nie: Fisheries Engineering Research Institute, Chinese Academy of Fishery Sciences, China
Huaining Yang: Fisheries Engineering Research Institute, Chinese Academy of Fishery Sciences, China
Kun Qu: Fisheries Engineering Research Institute, Chinese Academy of Fishery Sciences, China
Lianbo Zhang: Fisheries Engineering Research Institute, Chinese Academy of Fishery Sciences, China
Jinyu Du: Fisheries Engineering Research Institute, Chinese Academy of Fishery Sciences, China

Information Resources Management Journal (IRMJ), 2025, vol. 38, issue 1, 1-20

Abstract: This research addresses the pressing need for sustainable practices in aquaculture, which faces challenges, like environmental degradation. The study aims to evaluate the effectiveness of an intelligent aquaculture system (IAS) in improving key performance indicators in shrimp farming. Methodologically, it focuses on a specific shrimp farm divided into 10 breeding zones, with the number 3 area selected for experimentation. Data on environmental parameters and performance metrics were collected for comparative analysis against traditional practices. Results showed significant improvements: The IAS achieved a feed conversion rate of 90.22% and a growth rate of 50 g/week, outperforming traditional methods. Additionally, it exhibited lower disease incidence and mortality rates, indicating enhanced safety. The study concludes that IASs can substantially improve operational efficiency and sustainability, offering valuable insights for the future of aquaculture practices.

Date: 2025
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