Detecting Harmful Algal Blooms: Building CNNs for Satellite-Based Edge Computing

Harmful algal blooms (HABs) are increasing worldwide, causing major health, ecological, and economic damage. Traditional detection methods are slow and reactive. The article proposes an AI-driven approach that combines satellite Earth Observation data, custom HAB datasets, and CNN models optimized for edge computing on satellites.