Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking

M Elmezain, LS Saoud, A Sultan, M Heshmat… - IEEE …, 2025 - ieeexplore.ieee.org
Underwater computer vision plays a vital role in ocean research, enabling autonomous
navigation, infrastructure inspections, and marine life monitoring. However, the underwater …

Fish monitoring in aquaculture using multibeam echosounders and machine learning.

J Kristmundsson, Ø Patursson, J Potter, Q Xin - IEEE Access, 2023 - ieeexplore.ieee.org
Offshore salmon aquaculture is a growing industry that faces challenges such as sea lice
infestations and varying environmental conditions, necessitating the development of new …

Satellite based assessment of Potential Fishing Zones (PFZs) within the Exclusive Economic Zone (EEZ) of Pakistan

A Nadeem, AD Rana, SA Batool, A Azhar… - Continental Shelf …, 2025 - Elsevier
Abstract Pakistan's Exclusive Economic Zone (EEZ) is blessed with a broad spectrum of
marine life. Identification of such potential fishing zones (PFZs) can be highly profitable for …

A lightweight model for echo trace detection in echograms based on improved YOLOv8

J Ma, J Tong, M Xue, J Yao - Scientific Reports, 2024 - nature.com
With the rise of underwater unmanned platforms like unmanned boats, ROVs, and AUVs,
there's an increasing need for underwater detection technologies. Researchers have …

[HTML][HTML] A Fish Target Identification and Counting Method Based on DIDSON Sonar and YOLOv5 Model

W Shen, M Liu, Q Lu, Z Yin, J Zhang - Fishes, 2024 - mdpi.com
In order to more accurately and quickly identify and count underwater fish targets, and to
address the issues of excessive reliance on manual processes and low processing …

Enhancing Fish Detection and Classification in Sonar Images Through Deep Learning

M Chetoui, MA Akhloufi - OCEANS 2024-Halifax, 2024 - ieeexplore.ieee.org
To ensure the preservation of a robust ecosystem and healthy fish populations, it is
necessary that we carefully monitor the number and presence of different fish species. In this …

Yangtze finless porpoise sexual behavior object detection algorithm based on YOLOv8

H Chen, P Ge, Y Hao - 2024 - researchsquare.com
Traditional studies on Yangtze finless porpoise behavior rely on manual observation mainly,
posing challenges such as low efficiency, high labor costs and visual fatigue. To address …