Surveillance and analysis of behavior can be used to detect and characterize health
disruption and welfare status in animals. The accurate identification of changes in behavior …

Numerous recent papers based on deep learning (DL) have been published covering a
wide range of applications to pig production. These applications provide information …

Posture patterns of sows or gilts could reflect their welfare, estrus, and health status.
However, due to the large animal-to-staff ratio at sow farms, there is not yet a solution to …

Highlights•Large collection of behavioural data are needed for animal genetic
researches.•Image analysis is a non-invasive method to record several behavioural …

Behavior is a good indicator of animal welfare, especially in challenging environments.
However, few studies have investigated how pig behavior changes during heat stress. The …

Livestock management is evolving into a new era, characterized by the analysis of vast
quantities of data (big data) collected from both traditional breeding methods and new …

Estimating animal behaviour during heat stress (HS) is particularly insightful to monitor
animal welfare but also to better understand how animals thermoregulate. The present study …

Highlights An artificial intelligence-enabled imagery data processing pipeline. Sow vulva
swelling can be quantified using imagery automatically. Biological signs of sow estrus are …

Assessing sow posture is essential for understanding their physiological condition and
helping farmers improve herd productivity. Deep learning-based techniques have proven …

Objective Pig breeders cannot obtain phenotypic information at the time of selection for sow
lifetime productivity (SLP). They would benefit from obtaining genetic information of …