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 …

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

In aquaculture, the real-time detection and monitoring of feed pellet consumption is an
important basis for formulating scientific feeding strategies that can effectively reduce feed …

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 …

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 …

Over the past decade, drones have become a popular tool for wildlife management and
research. Drones have shown significant value for animals that were often difficult or …

Computer Vision, Digital Image Processing, and Digital Image Analysis can be viewed as an
amalgam of terms that very often are used to describe similar processes. Most of this …

Smart aquaculture is nowadays one of the sustainable development trends for the
aquaculture industry in intelligence and automation. Modern intelligent technologies have …

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 …