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

Fish biomass estimation is one of the most common and important practices in aquaculture.
The regular acquisition of fish biomass information has been identified as an urgent need for …

Imaging underwater environments is of great importance to marine sciences, sustainability,
climatology, defense, robotics, geology, space exploration, and food security. Despite …

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 …

The Aquaculture industry is a sector that faces difficulties in maintaining a high-quality
production of food in a sustainable way due to the technological limitations of the …

Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …

Demands of aquatic products are increasing dramatically during past decades. Also quality
assurance has gradually received more attention by both producers and consumers. Thus …

In aquaculture, feeding is the primary factor determining efficiency and cost, so it is important
to know when to stop feeding to maximize efficiency. Until now, fish feeding has been mostly …

Computer vision technology is a sophisticated inspection technology that is in common use
in various industries. However, it is not as widely used in aquaculture. Application of …

Aquaculture is presented as a sustainable alternative to the consumption of wild fish, for
example, reducing inputs (such as feed), optimizing outputs, and reducing pollution …