Researchers at the University of British Columbia have developed a groundbreaking approach to studying jellyfish populations using customized drones equipped with specialized cameras and AI-powered identification systems.

This innovative technique allows scientists to monitor vast coastal areas and gather data on jellyfish blooms that were previously difficult to track due to their rapid formation and dispersal patterns.

The research has revealed concerning correlations between rising ocean temperatures and increased frequency and size of jellyfish blooms, providing valuable insights into marine ecosystem changes triggered by climate shifts.

The custom drones employ a combination of infrared imaging and machine learning algorithms trained to identify different jellyfish species from aerial footage, even in challenging visibility conditions.

• Real-time population density mapping
• Species identification with 94% accuracy
• Behavioral pattern analysis
• Migration tracking across coastal regions