Regular monitoring of the number of various fish species in a variety of habitats is essential
for marine conservation efforts and marine biology research. To address the shortcomings of …

The classification of fish species has become an essential task for marine ecologists and
biologists for the estimation of large quantities of fish variants in their own environment and …

Due to the high cost of data acquisition in many specific fields, such as intelligent agriculture,
the available data is insufficient for the typical deep learning paradigm to show its superior …

Underwater image recognition is crucial for underwater detection applications. Fish
classification has been one of the emerging research areas in recent years. Existing image …

This research aimed to employ deep learning techniques to address the classification of
Litopenaeus vannamei cultivation results in land ponds and tarpaulin ponds. Despite their …

Artificial intelligence constitutes one of the hottest topics in terms of new technological
paradigms today. On the other side, agriculture, forestry, and fishery sectors play a key role …

As the pillar industry of coastal areas, aquaculture needs artificial intelligence technology to
promote economic development. To realize the automation of the aquaculture industry, this …

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 …

As a pillar industry in coastal areas, aquaculture needs artificial intelligence technology to
drive its economic development. This paper proposes a new method of multi-scale feature …