A Sensor Network to Estimate Fish Activity and Assist Feeding Decisions in Marine Aquaculture

Abstract

Optimization of fish feeding in marine aquaculture has relied on an expert farmer’s decision-making based on subjective experience. This paper presents the development of a network of underwater current, imaging and IMU sensors for estimating fish feeding behavior for digitizing expert feeding decision-making. We constructed the sensor units and deployed them in fish cages and collected measurements during feeding activities. Experiment results indicate that currents were highest at the surface within the duration of the feeding activity.The 2022 International Conference on Artificial Life and Robotics (ICAROB 2022), January 20-23, 2022, on line, Oita, Japa

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