Blockchain and Edge Computing for Dynamic Regulation in Aquatic Feeding Systems

Aquaculture is an important part of the global food industry, and the feeding system also plays a crucial role in the aquaculture production process. At the same time, the global aquaculture industry is also facing multiple challenges of resource scarcity, environmental pressure and upgraded market demand. Reasonable and accurate feeding can not only improve the growth rate and feed conversion rate of fish, but also reduce the farming cost and environmental pollution. With the rise of IoT, AI, blockchain and edge computing technologies, the intelligent and dynamic regulation of aquatic feeding system has been further improved. This paper combines blockchain to provide data transparency and security with edge computing to realize the functions of data processing and feedback; Real-time perception and prediction by artificial intelligence and global model optimization of federated learning. providing theoretical support in the feeding efficiency of aquatic systems and guaranteeing the sustainable use of aquatic resources.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1109/raiie65740.2025.11140365
Primary Topic
Water Quality Monitoring Technologies
Type
article
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article

Blockchain and Edge Computing for Dynamic Regulation in Aquatic Feeding Systems

Zemin Qiu, Haiwang Zhong, Yifeng Liu, Zibo Wang et al.
Water Quality Monitoring Technologies
article

Blockchain and Edge Computing for Dynamic Regulation in Aquatic Feeding Systems

Zemin Qiu, Haiwang Zhong, Yifeng Liu, Zibo Wang, Jinhuang Chen
article en

Abstract

Aquaculture is an important part of the global food industry, and the feeding system also plays a crucial role in the aquaculture production process. At the same time, the global aquaculture industry is also facing multiple challenges of resource scarcity, environmental pressure and upgraded market demand. Reasonable and accurate feeding can not only improve the growth rate and feed conversion rate of fish, but also reduce the farming cost and environmental pollution. With the rise of IoT, AI, blockchain and edge computing technologies, the intelligent and dynamic regulation of aquatic feeding system has been further improved. This paper combines blockchain to provide data transparency and security with edge computing to realize the functions of data processing and feedback; Real-time perception and prediction by artificial intelligence and global model optimization of federated learning. providing theoretical support in the feeding efficiency of aquatic systems and guaranteeing the sustainable use of aquatic resources.

Anhui Xinhua University (CN)
Openalex Percentile: Top 78%
Water Quality Monitoring Technologies
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