The cultivation stage of juvenile fish is the starting point of the whole cultivation process. In
this stage, the vitality of juvenile fish is weak and they are extremely vulnerable to …

Marine fish target detection technology is of great significance for underwater vehicles to
realize fish automatic recognition. However, the complex underwater environment and …

Traditional fish farming methods suffer from backward production, low efficiency, low yield,
and environmental pollution. As a result of thorough research using deep learning …

The proposal of deep neural network achieves intelligent detection of abnormal fish
behaviors. However, with the increase of network depth, the defects of large training memory …

As a pillar industry in coastal areas, aquaculture needs artificial intelligence technology to
drive its economic development. In this paper, we proposed an improved YOLOv5 target …

In aquaculture, the accurate recognition of fish underwater has outstanding academic value
and economic benefits for scientifically guiding aquaculture production, which assists in the …

In the field of fisheries, detecting the distribution of fish underwater is an important task for
achieving accurate bait feeding. However, the current deep neural networks for fish …

Preserving the marine ecological environment and safeguarding marine species is a global
priority. However, human overfishing has led to a drastic decline in fish species with longer …

In intensive aquaculture, the real-time detection and monitoring of common infectious
disease is an important basis for scientific fish epidemic prevention strategies that can …

The identification of marine fish species is significant for marine fish research and
conservation and the development and utilization of marine fish resources. To increase the …