This paper presents a deep-learning-based system for classifying pig postures, aiming to
improve the management of sustainable smart pigsties. The classification of pig postures is …

Pig postures play a crucial role in understanding the behavior and well-being of pigs in a
pigsty environment. In this study, we propose a deep learning-based model for pig posture …

Analysis of pig posture is significant for improving the welfare and yield of captive pigs under
different conditions. Detection of pig postures, such as standing, lateral lying, sternal lying …

Simple Summary This study explored an image-based method for recognizing pigs' postures
during growth and established the world's first human-annotated pig-posture-recognition …

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 …

Pig posture is closely linked with livestock health and welfare. There has been significant
interest among researchers in using deep learning techniques for pig posture detection …

This paper introduces a pipeline for image-based pig posture classification by applying
YOLOv5 for pig detection and EfficientNet for subsequent pig posture classification …

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 …

Posture changes in pig behaviors are a helpful way of detecting early signs of precision
livestock farming. In commercial settings, computer vision-based approaches have been …

Prior livestock research provides evidence for the importance of accurate detection of pig
positions and postures for better understanding animal welfare. Position and posture …