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, thereby reducing resource use and minimizing environmental impact.
Through technologies such as Internet of things (IoT), artificial intelligence (AI) and robotics, smart aquaculture enhances productivity and fish welfare across various environments, including offshore cages, inland ponds, and more. 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.
Supplement 85 to the ITU-T Y-series Recommendations surveys use cases related to smart aquaculture, from 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.
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