AI-driven Dispensing of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef
An AI pipeline was developed for real-time deployment of coral reseeding devices to restore coral reefs. The system uses image labeling, automated classification, and a decision module to determine deployment based on underwater imagery. It achieved 77.8% deployment accuracy across five Great Barrier Reef sites, demonstrating a scalable method for large-scale reef restoration.