Leveraging deep learning and computer vision technologies to enhance management of coastal fisheries in the Pacific region.

ABSTRACT: This paper presents the design and development of a coastal fisheries monitoring system that harnesses artificial intelligence technologies. Application of the system across the Pacific region promises to revolutionize coastal fisheries management. The program is built on a centralized, cloud-based monitoring system to automate data extraction and analysis processes. The system leverages YoloV4, OpenCV, and ResNet101 to extract information from images of fish and invertebrates collected as part of in-country monitoring programs overseen by national fisheries authorities. As of December 2023, the system has facilitated automated identification of over six hundred nearshore finfish species, and automated length and weight measurements of more than 80,000 specimens across the Pacific. The sys

SUBMITTER: Shedrawi G 

PROVIDER: S-EPMC11381547 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature