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Work item:
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Q.IEC-FWINF
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Subject/title:
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Data management interfaces for intelligent edge computing-based flowing-water smart aquaculture system
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2024-Q2 (Medium priority)
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Liaison:
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SG20
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Supporting members:
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Korea (Republic of.), ETRI, SKT
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Summary:
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The smart aquaculture system aims to increase the productivity of aquaculture and promote eco-friendly aquaculture technology by applying IoT, ICT, big data, and AI technologies to traditional aquaculture systems. With the emergence of big data, AI, and cloud technologies, intelligent edge cloud platform services provide powerful performance and resources for managing and analyzing vast amounts of data, enabling support for smart aquaculture technology.
The intelligent edge cloud-supported flowing-water smart aquaculture system can be realized using the Rec. ITU-T Q.5001 intelligent edge computing (IEC). The TE of IEC can be used in the sensor and actuator parts of the flowing-water smart aquaculture system, and the reference points in IEC can be used for interaction with the edge server. By using these reference points, water quality, growth, energy, and environmental data collected in the aquaculture field can be transmitted to the edge server. Additionally, the edge server can generate essential settings and control values necessary for the growth of fish and the operation of aquaculture facilities using the collected data. For in-depth analysis that requires high computational power, such as fish disease diagnosis or productivity enhancement, cloud-based analysis and generation can be performed. Then, the edge server transmits the generated optimal model to the driving part.
This draft recommendation defines the data management interfaces for intelligent edge computing-based flowing-water smart aquaculture systems.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2023-06-01 13:18:55
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Last update:
2024-04-24 14:15:28
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