Monitoring the growth conditions and behavior of fish will enable scientific management,
reduce the threat of losses caused by disease and stress. Traditional monitoring methods …

The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …

Automated monitoring and analysis of fish's growth status and behaviors can help scientific
aquaculture management and reduce severe losses due to diseases or overfeeding. With …

Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …

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 …

The decisions made regarding traditional fish feeding systems mainly depend on
experience and simple time control. Most previous works have focused on image-based …

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

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

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 …

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 …