The potential of Jellytoring 2.0 smart tool as a global jellyfish monitoring platform.

ABSTRACT: Despite the recent recognition of jellyfish as an important component of marine ecosystems and existing concerns on their potential population increase, they are rarely monitored at the appropriate spatial and temporal scales. Traditional jellyfish monitoring techniques are costly and generally restrict the spatial-temporal resolution limiting the quantity and quality of monitoring data. We introduce Jellytoring 2.0, an automatic recognition tool for jellyfish species based on convolutional neural networks (CNN). We trained Jellytoring 2.0 to identify 15 jellyfish species with a global distribution. Our aim is to offer Jellytoring 2.0 as an open-access tool to serve as the backbone for a system that promotes the creation of large-scale and long-term jellyfish monitoring data. Results revea

SUBMITTER: Ruiz-Frau A 

PROVIDER: S-EPMC9627081 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature