Development of an AI-IoT Platform for Coral Reef Ecosystem Conservation: Pilot in Nha Trang Bay

This project develops an integrated AI and IoT technology platform for real-time monitoring, early warning, and restoration planning of coral reef ecosystems in Vietnam, with Nha Trang Bay selected as the pilot site. The platform combines IoT sensor networks, underwater imaging, and USV-based data collection to address the limitations of current coral monitoring methods, which are often slow, fragmented, and insufficient for timely intervention. By applying AI for coral health classification, anomaly detection, and predictive risk modeling, the system will help identify drivers of reef decline such as bleaching, sedimentation, and pollution, while providing actionable insights for local authorities and conservation practitioners.

The project aims to build a functional AI-IoT monitoring platform that strengthens coral reef conservation through faster detection, better diagnosis, and more targeted restoration planning. Its objectives are to improve real-time environmental monitoring in Nha Trang Bay; develop AI models for coral health assessment, anomaly detection, and degradation risk prediction; support evidence-based conservation and restoration actions; and generate academic, technological, and institutional value through research publications, prototype development, policy engagement, and scalable application to other marine protected areas in Vietnam.