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 …

Aquaculture plays a crucial role in meeting the growing global demand for seafood, but it
faces challenges in terms of fish growth and health monitoring. The advancement of artificial …

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 …

Environmental changes are expected to induce a stress response in oysters, affecting their
vitality and meat quality. However, the real-time monitoring of oyster stress levels remains …

Non-invasive blood glucose level (BGL) evaluation technology in skin mucus is a wearable
stress-detection means to indicate the health status of live fish for compensating the …

Through the advancement of observation systems, our vision has far extended its reach into
the world of fishes, and how they interact with fishing gears—breaking through physical …

In this paper, a novel YOLO-based detection model with deformable convolution network
(DCN-YOLOv5) is developed, which is concerned with the object and key points detection …

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 identification of scallops is of great significance for the evaluation of scallop resources.
At present, the identification of bottom sowing cultured scallops is mainly though manual …

In recent years, aquaculture has seen tremendous growth worldwide due to technological
advancements, leading to research and development of various innovations. Aquaculture …