In recirculating aquaculture system, precise estimation of perch size from images is essential
for develo** intelligent management system. However, variations in fish postures and …

This study proposes an innovative deep learning model for use in a multispectral vision
system comprising a complementary metal‐oxide semiconductor image sensor and a …

Background High-throughput behavioral analysis is important for drug discovery,
toxicological studies, and the modeling of neurological disorders such as autism and …

Accurate phenotypic analysis in aquaculture breeding necessitates the quantification of
subtle morphological phenotypes. Existing datasets suffer from limitations such as small …

Phenotype segmentation is pivotal in analysing visual features of living organisms,
enhancing our understanding of their characteristics. In the context of oysters, meat quality …

Traditional fish farming practices often lead to inefficient feeding, resulting in environmental
issues and reduced productivity. We developed an innovative system combining computer …

With the use of Deep Learning algorithms, it is conceivable to identify the object
characteristics in an image or video frame as a collection of landmarks. To regulate the size …

Aquaculture has emerged as a significant revenue source over the past decade, providing a
diverse range of aquatic plants and animals. Despite its importance, there has been a lack of …

Robust fish landmark detection is a prerequisite for accurate fish behavior analysis and
biomass weight estimation and is therefore crucial for efficient and intelligent offshore …