The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …

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 …

It is important for marine scientists and conservationists to frequently estimate the relative
abundance of fish species in their habitats and monitor changes in their populations. As …

There is a need for automatic systems that can reliably detect, track and classify fish and
other marine species in underwater videos without human intervention. Conventional …

Underwater video and digital still cameras are rapidly being adopted by marine scientists
and managers as a tool for non‐destructively quantifying and measuring the relative …

In this paper, we presented an automated system for identification and classification of fish
species. It helps the marine biologists to have greater understanding of the fish species and …

Live fish recognition is one of the most crucial elements of fisheries survey applications
where the vast amount of data is rapidly acquired. Different from general scenarios …

Automatic classification of different species of fish is important for the comprehension of
marine ecology, fish behaviour analysis, aquaculture management, and fish health …

In recent years, underwater video technologies allow us to explore the ocean in scientific
and noninvasive ways, such as environmental monitoring, marine ecology studies, and …

Freshwater fish is considered a poor man's protein supplement as they are easily available
in lakes, rivers, natural ponds, paddy fields, beels, and fisheries. There are various …