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Research on the Development and Application of an Intelligent Aquaculture System

Research on the Development and Application of an Intelligent Aquaculture System

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), and Jinyu Du (Fisheries Engineering Research Institute, Chinese Academy of Fishery Sciences, China)
Copyright: © 2025 |Pages: 20
DOI: 10.4018/IRMJ.368721
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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.
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Literature Review

In recent years, aquaculture has undergone a remarkable transformation, mainly driven by the growth of global demand for seafood and the urgent need for sustainable practices. With the continuous growth of the world population, traditional aquaculture methods are facing unprecedented challenges, including disease outbreaks, water quality deterioration, and low feed utilization efficiency. These problems not only threaten the productivity of aquaculture but also pose a challenge to its sustainability. In order to address these urgent issues, the development and application of IASs have become promising solutions, as they can improve productivity and sustainability by integrating advanced technologies (An et al., 2021; Chen et al., 2022).

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