The use of machine learning to detect a foraging behaviour in whale sharks: A new tool in conservation.

In this study, we present the first attempt at modelling the feeding behaviour of whale sharks using a machine learning analytical method. A total of 8 sharks were monitored with tri-axial accelerometers and their foraging behaviours were visually observed. Our results highlighted that the Random forest model is a valid and robust approach to predict the feeding behaviour of the whale shark. In conclusion this novel approach exposes the practicality of this method to serve as a conservation tool and the capability it offers in monitoring potential disturbances of the species. This article is protected by copyright. All rights reserved.