Highlights•An automated quantification method for pig social interactions was
developed.•The automated method is based on convolutional deep neural …

The identification of social interactions is of fundamental importance for animal behavioral
studies, addressing numerous problems like investigating the influence of social hierarchical …

Highlights•An automated detection method of pig feeding and foraging behaviour was
developed.•The automated method is based on convolutional deep neural networks.•The …

Simple Summary In this study, a deep learning-based detection and identification method is
proposed to detect and identify the movement duration and aggressive behavior of pigs …

Abstract Changes in pig behaviours are a useful aid in detecting early signs of compromised
health and welfare. In commercial settings, automatic detection of pig behaviours through …

In the pig industry, the social behaviors of preweaning piglets are critical indicators of their
liveability, growth, health, and welfare status. In this study, we developed a novel method …

Automated monitoring of pigs for timely detection of changes in behavior and the onset of tail
biting might enable farmers to take immediate management actions, and thus decrease …

Recording sow behaviors allows tracking their health status, the timely detection of
abnormalities, and provides assistance to increase their health both physically and mentally …

Highlights•Used a graph convolutional network to recognize animal behaviors.•Constructed
spatiotemporal and self-adaptive graphs with high-quality node features.•Detected social …

The increasing demand for sustainable livestock products also demands new
considerations in animal breeding. Breeding programs are now seeking to integrate animal …