Intelligence technologies play an important role in increasing product quality and production
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …

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

Fish species identification is vital for aquaculture and fishery industries, stock management
of water bodies and environmental monitoring of aquatics. Traditional fish species …

Simple Summary The automatic diagnosis of fish diseases is an important task in smart
aquaculture, and plays a key role in detecting fish conditions, understanding disease signs …

Visual animal biometrics is an emerging research discipline in computer vision, pattern
recognition and cognitive science. It is a promising research field that encourages new …

Fish catch species provide essential information for marine resource management. Some
international organizations demand fishing vessels to report the species statistics of fish …

The fisheries industry relies heavily on automatic fish species identification for its socio-
economic well-being. Due to the similarity in shape and size of the major carps, it can be …

Automatic identification of fish species is very complex and challenging because of the low
quality of the marine environment. Thus, the identification of fish species using computer …

Metadata is a key data source for researchers seeking to apply machine learning (ML) to the
vast collections of digitized biological specimens that can be found online. Unfortunately, the …

Food forgery is one of the most articulated socio-economic concerns, which contributed to
increase people awareness on what they eat. Identification of species represents a key …