Wild salmon enumeration and monitoring using deep learning empowered detection and tracking

• Published in: Frontiers in Marine Science
• Main Authors: William I. Atlas, Sami Ma, Yi Ching Chou, Katrina Connors, Daniel Scurfield, Brandon Nam, Xiaoqiang Ma, Mark Cleveland, Janvier Doire, Jonathan W. Moore, Ryan Shea, Jiangchuan Liu
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media S.A. 2023
• Subjects: computer vision; deep learning; fisheries management; in-season fishery management; indigenous science; wild salmon; Science; Q; General. Including nature conservation; geographical distribution; QH1-199.5; British Columbia; Canada; Kitwanga; Pacific; Sockeye; First Nations
• Online Access: https://doi.org/10.3389/fmars.2023.1200408; https://doaj.org/article/7b9c5ab60640430a8c870d8f81462ef7

Pacific salmon have experienced declining abundance and unpredictable returns, yet remain vital to livelihoods, food security, and cultures of coastal communities around the Pacific Rim, creating a need for reliable and timely monitoring to inform sustainable fishery management. Currently, spawning...