Aquaculture and fisheries sectors are finding ingenious ways to grow and meet the soaring
human demand for nutrient-rich fish and seafood by efficiently utilizing the vast water …

With the continuous development of space and sensor technologies during the last 40 years,
ocean remote sensing has entered into the big-data era with typical five-V (volume, variety …

The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

Baited remote underwater stereo‐video systems (stereo‐BRUVs) are a popular tool to
sample demersal fish assemblages and gather data on their relative abundance and body …

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 …

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 …

Clean energy from oceans and rivers is becoming a reality with the development of new
technologies like tidal and instream turbines that generate electricity from naturally flowing …

Deep-sea mining may be just a few years away and yet society is struggling to assess the
positive aspects, such as increasing the supply of metals for battery production to fuel the …

The increasing demand for marine monitoring calls for robust automated systems to support
researchers in gathering information from marine ecosystems. This includes computer vision …