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Application of artificial intelligence and the internet of things in ornamental aquaculture management
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R. Mahmoudi *   |
| Iranian Fisheries Science Research Institute (IFSRI), Agricultural Research Education and Extension Organization |
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Abstract: (22 Views) |
The rapid growth of the ornamental fish industry and the increasing demand for high-quality species have highlighted the need for advanced management technologies. In this context, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT), often referred to as the Artificial Intelligence of Things (AIoT), has emerged as a transformative approach for monitoring, controlling, and optimizing ornamental fish farming operations.
This review systematically examines scientific literature published between 2018 and 2025 to analyze AIoT applications in areas such as water quality monitoring, early disease detection, feed management, biomass estimation, and behavioral analysis of ornamental fish. The findings indicate that combining IoT sensor data with machine learning models, deep neural networks, and computer vision significantly enhances both the accuracy and speed of decision-making in aquaculture systems.
Despite these advances, challenges such as high implementation costs, limited availability of standardized datasets, and practical constraints in field deployment continue to limit the full utilization of AIoT technologies. The future of ornamental aquaculture depends on the development of cost-effective, localized intelligent systems that ensure both sustainability and fish welfare simultaneously. |
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| Keywords: Artificial Intelligence of Things (AIoT), Ornamental Fish, Smart Aquaculture, Internet of Things, Machine Learning, Computer Vision |
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Full-Text [PDF 694 kb]
(11 Downloads)
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Type of Study: Applicable |
Subject:
Special
Received: 2025/10/11 | Accepted: 2025/10/2 | Published: 2025/10/2
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