“AquaSphere” and “AquaSense” are integrated smart fish farming systems designed to monitor, analyse, and optimise aquaculture conditions through real-time data collection and intelligent decision support. The systems incorporate sensor networks for continuous monitoring of key water quality parameters, automated data transmission, and an AI-assisted platform that supports fish health assessment and farm management decisions. 

Together, these functions enable more efficient, sustainable, and adaptive fish farming operations. The project has progressed from development to pilot implementation, with the systems deployed and tested at Hung Yat Farm in spring 2026. During this phase, real-time environmental and biological data were collected to validate system performance and to support the refinement of the AI-assisted fish farming model. Initial pilot results indicate that the systems are technically feasible and capable of improving monitoring accuracy and operational responsiveness in aquaculture settings.  

The project adopts a clear interdisciplinary work division. Youth College (International) students focus on sensor design, system integration, and energy-efficient hardware development; Health and Life Sciences students are responsible for defining water quality indicators, analysing fish health data, and evaluating ecological impacts; while higher diploma in computer and electronic engineering students lead system deployment, field testing, data acquisition, and user-oriented validation. This structured collaboration ensures both effective system development and meaningful integration of domain expertise across the project.  

Finally, preliminary outcomes demonstrate both the technical feasibility of smart aquaculture solutions and the educational value of project-based, interdisciplinary learning. The project exemplifies how technology-enhanced education can support sustainable fisheries development while cultivating future-ready talents capable of driving innovation for environmental and societal resilience.