Computer vision has been applied to fish recognition for at least three decades. With the
inception of deep learning techniques in the early 2010s, the use of digital images grew …

Despite genuine attempts, the history of marine and coastal ecosystem management is
littered with examples of poor environmental, social and financial outcomes. Marine …

Machine-assisted object detection and classification of fish species from Baited Remote
Underwater Video Station (BRUVS) surveys using deep learning algorithms presents an …

The ongoing need to sustainably manage fishery resources can benefit from fishery-
independent monitoring of fish stocks. Camera systems, particularly baited remote …

Monitoring the size of key indicator species of fish is important to understand ecosystem
functions, anthropogenic stress, and population dynamics. Standard methodologies gather …

Environmental monitoring guides conservation and is particularly important for aquatic
habitats which are heavily impacted by human activities. Underwater cameras and …

Efficacious monitoring of fish stocks is critical for efficient management. Multibeam acoustic
cameras, that use sound-reflectance to generate moving pictures, provide an important …

This paper presents the development and evaluation of a Subtidal Seagrass Detector (the
Detector). Deep learning models were used to detect most forms of seagrass occurring in a …

Mobile underwater cameras, diver-operated or on underwater vehicles, have become
popular for monitoring fisheries. Replacing divers with cameras has clear advantages, such …

High quality nursery grounds are important for species success and the long-term
sustainability of fish stocks. However, even for important fisheries species, what constitutes …