An Autonomous Marine Mucilage Monitoring System

Mucilage bloom is a current issue, especially for countries in the Mediterranean Basin, due to economic activities and ecological effects. The main causes are increased nutrient load organic industrial pollution sea, global warming, meteorological conditions at level that can trigger mucilage bloom. It important take permanent measures combat causing mucilage. However, there various actions be performed during period, collection of on sea surface. Surface vehicles used monitor collect aim this study design an autonomous marine monitoring system systems such as unmanned surface (USV). We suggest risky Marmara Sea continuously recording some key parameters using USV. onboard solution proposed has architect based three-tier system. In first tier, scanned with camera(s) certain radius real time. When mucilage-candidate areas determined, vehicle directed region autonomously. second seawater measured time sensors, pH level, conductivity, dissolved oxygen level. third tier where samples three different depths collected (if possible) detailed posterior lab analysis. have compared image processing, CNN (ResNet50), kNN, SVM, FFNN approaches shown accuracy our classification method offers better more promising performance.