Among the background of developments in automation and intelligence, machine learning
technology has been extensively applied in aquaculture in recent years, providing a new …

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 expansion of aquaculture scale and density, contemporary aquaculture
methods have been forced to overproduce resulting in the accelerated imbalance rate of …

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 world wild fish stocks are being depleted in an ever-increasing speed. Aquaculture is
the only way to ensure sufficient seafood for the world. Conventional aquaculture can be …

In recirculating aquaculture system, the abnormal behavior of fish is usually caused by poor
water quality, hypoxia or diseases. Delayed recognition of this behavior will lead to large …

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

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 …

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 …

Feeding is a major factor that determines the production costs and water quality of
aquaculture. Analysis of fish feeding behavior forms an important part of the feeding …