Lukáš Machatý

Project Calypso addresses critical data gaps in water quality monitoring and Harmful Algal Bloom (HAB) forecasting by engineering a low-cost, modular, open-source environmental monitoring ecosystem. The framework utilizes a cost-effective, DIY approach pairing custom 3D-printed components with a dual-controller hardware architecture: • High resolution remote sensing: A Raspberry Pi 5 single-board computer pairs with a specialized camera module to execute localized multispectral imaging and real-time machine learning inference. • Geospatial In Situ Data Logging: A Raspberry Pi Pico microcontroller interfaces with an in situ water quality sensor suite and a GNSS/GPS module for precise geospatial telemetry. • Autonomous Robotic Monitoring Platforms: Custom-built Unmanned Surface Vehicle (USV) and multirotor Unmanned Aerial Vehicle (UAV) platforms dynamically deploy these payloads across targeted aquatic…