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 …

This article puts forward a two-stage integrated method to predict the remaining useful life
(RUL) of lithium-ion batteries (LIBs). At the first stage, a convolutional neural network (CNN) …

The effective implementation of machine vision has played a crucial role in advancing
intelligent aquaculture across various domains. Stereo vision, as a branch of machine …

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 …

The long-term accumulation of ammonia nitrogen in aquaculture seriously affects the life of
fish and even causes large-scale death. Moreover, when the concentration of ammonia …

Vision is an important source of information for underwater observations, but underwater
images commonly suffer severe visual degradation due to the complexity of the underwater …

Accurate cattle pose estimation is essential for Precision Livestock Farming (PLF). Computer
vision-based, non-contact cattle pose estimation technology can be applied for behaviour …

The task of accurately classifying marine fish species is of great importance to marine
ecosystem investigations, but previously used methods were extremely labor-intensive …

Simple Summary To address the challenge of limited sample size in fish data, we improved
the prototypical networks to enhance model accuracy. In this study, an attention module was …

This study presents a novel approach to high-resolution density distribution mapping of two
key species of the 1170 “Reefs” habitat, Dendrophyllia cornigera and Phakellia ventilabrum …