Affordable real-time sensor system for algal bloom detection
Korea Institute of Civil Engineering and Building Technology (KICT, President Park, Sun-Kyu) has successfully developed a real-time, low-cost algal bloom monitoring system utilizing inexpensive optical sensors and a novel labeling logic. The system achieves higher accuracy than state-of-the-art AI models such as Gradient Boosting and Random Forest.
Harmful algal blooms (HABs) pose significant threats to water quality, public health, and aquatic ecosystems. Conventional detection methods such as satellite imaging and UAV-based remote sensing are cost-prohibitive ...