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ITU GSR 2024

ITU-T work programme

[2025-2028] : [SG20] : [Q2/20]

[Declared patent(s)]  - [Associated work]  - [Publication]

Work item: Y.Suppl.85 (ex Y.Sup.SmartAqua-usecases)
Subject/title: ITU-T Y.4000-series - Use cases of IoT-based smart aquaculture
Status: Agreed on 2025-01-24 [Issued from previous study period]
Approval process: Agreement
Type of work item: Supplement
Version: New
Equivalent number: -
Timing: -
Liaison: ITU-T SG13, ISO/IEC JTC1/SC41, ISO TC234
Supporting members: ETRI, Korea Republic; Indonesia, India, Brazil
Summary: As global food demands rise, challenges such as climate change, water scarcity, and overfishing are increasingly impacting the aquaculture industry. Smart aquaculture addresses these issues by employing advanced technologies to manage aquatic ecosystems sustainably. Using precise data on water quality, fish health and environmental conditions, smart aquaculture systems enable real-time monitoring and adjustments to ensure optimal growth conditions, so reducing resource use and minimizing environmental impact. Through technologies such as IoT, AI and robotics, smart aquaculture enhances productivity and fish welfare across various environments, including offshore cages, inland ponds, and so on. The complexity of device interactions within these systems highlights the importance of interoperability, making it essential to assess existing and emerging technologies in the field. For this reason, it is necessary to survey existing and forthcoming smart aquaculture technologies, after which, based on the survey results, meaningful standardization work items may be developed. This Supplement surveys use cases related to smart aquaculture in the perspective of, but not limited to: 1) IoT-based and AI-based monitoring and automation for fish farming, 2) IoT-based water quality management for fish farming, 3) IoT-based and AI-based water quality optimization for sustainable aquaculture, 4) IoT-based growth management of fish, 5) Autonomous feeding control based on IoT and AI technologies and 6) IoT-based and AI-based smart energy management for fish farming.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Jungyu KIM, Editor
Sushil KUMAR, Editor
Sang-yeon LEE, Editor
Juyoung PARK, Editor
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First registration in the WP: 2023-02-16 15:57:46
Last update: 2025-01-29 12:25:06