Spatial Distribution Patterns of Clownfish in Recirculating Aquaculture Systems

TL;DR

This paper introduces an optical flow-based method to analyze clownfish spatial distribution and movement in recirculating aquaculture systems, aiding in monitoring fish welfare and behavior for sustainable aquaculture practices.

Contribution

It presents a novel, efficient approach for estimating fish displacement and behavior in aquaculture, specifically applying optical flow to juvenile clownfish in controlled environments.

Findings

Effective displacement estimation of clownfish motion.

Variation in activity levels between morning and afternoon.

Potential to monitor stress and feeding behaviors online.

Abstract

Successful aquaculture systems can reduce the pressure and help secure the most diverse and productive Red Sea coral reef ecosystem to maintain a healthy and functional ecosystem within a sustainable blue economy. Interestingly, recirculating aquaculture systems are currently emerging in fish farm production practices. On the other hand, monitoring and detecting fish behaviors provide essential information on fish welfare and contribute to an intelligent production in global aquaculture. This work proposes an efficient approach to analyze the spatial distribution status and motion patterns of juvenile clownfish \textit{(Amphiprion bicinctus)} maintained in aquaria at three stocking densities (1, 5, and 10 individuals/aquarium). The estimated displacement is crucial in assessing the dispersion and velocity to express the clownfish's spatial distribution and movement behavior in a recirculating aquaculture system. Indeed, we aim to compute the velocity, magnitude, and turning angle using an optical flow method to assist aquaculturists in efficiently monitoring and identifying fish behavior. We test the system design on a database containing two days of video streams of juvenile clownfish maintained in aquaria. The proposed displacement estimation reveals good performance in measuring clownfish's motion and dispersion characteristics leading to assessing the potential signs of stress behaviors. We demonstrate the effectiveness of the proposed technique for quantifying variation in clownfish activity levels between recordings taken in the morning and afternoon at different stocking densities. It provides practical baseline support for online predicting and monitoring feeding behavior in ornamental fish aquaculture.