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 …

The accurate and rapid detection of objects in videos facilitates the identification of abnormal
behaviors in pigs and the introduction of preventive measures to reduce morbidity. In …

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

Aggression is considered as a major animal welfare problem in commercial pig farming. The
aim of this study is to develop a deep learning method based on convolutional neural …

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

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 …

Simple Summary Artificial intelligence technology increases the level of awareness in sheep
farming. The aggressive behavior of sheep is related to mortality, feed provisioning, and …

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 …

Changes in pig behavior are crucial information in the livestock breeding process, and
automatic pig behavior recognition is a vital method for improving pig welfare. However …