Exploring The Depths: Harnessing the Power of Deep Learning in Marine Ecology

Abstract

The realm of deep learning (DL) is instigating a transformative shift across various scientific domains, marine ecology being no exception. Empowered with advanced data processing capabilities, the information gleaned from sensors, cameras, and acoustic recorders can now undergo rapid and dependable analysis, even in real-time scenarios. Off-the-shelf algorithms are at our disposal, capable of precisely pinpointing, enumerating, and classifying species within digital media, while also unearthing concealed patterns within intricate datasets. Nevertheless, the effective integration of DL into marine ecology necessitates a symbiotic partnership between ecologists and data scientists. This endeavor strives to bridge this interdisciplinary divide, advocating for the application of DL in realizing ecosystem-based management of the marine ecology.