Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …

The acquisition of information on fish stress has been recognized as an urgent need for
monitoring water quality, preventing disease, and improving welfare. Minimizing the …

Since the beginning of the 21st century, electronic monitoring (EM) has emerged as a cost‐
efficient supplement to existing catch monitoring programmes in fisheries. An EM system …

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 …

Object counting in aquaculture is an important task, and has been widely applied in fish
population estimation, estimation of lobster abundance and scallop stocks, and so forth …

In aquaculture, Behavioral monitoring of fish contributes to scientific management and
reduces the threat of loss from disease and stress. Fish tracking technology plays an …

Monitoring the status of culture fish is an essential task for precision aquaculture using a
smart underwater imaging device as a non-intrusive way of sensing to monitor freely …

Efficient real-time disparity estimation is critical for the application of stereo vision systems in
various areas. Recently, stereo network based on coarse-to-fine method has largely relieved …

Advances in imaging systems have facilitated the collection of high-volume imagery
datasets in fisheries science. To alleviate the costs of sorting these datasets, automated …

Camera-based electronic monitoring (EM) systems are increasingly being deployed
onboard commercial fishing vessels to collect essential data for fisheries management and …