Continuous monitoring of pig posture is important for better understanding animal behavior.
Previous studies focused on day recordings and did not investigate how deep learning …

Posture detection targeted towards providing assessments for the monitoring of health and
welfare of pigs has been of great interest to researchers from different disciplines. Existing …

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

In this paper, a lightweight channel-wise attention model is proposed for the real-time
detection of five representative pig postures: standing, lying on the belly, lying on the side …

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

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 goal of this study was to develop an automated monitoring system for the detection of
pigs' bodies, heads and tails. The aim in the first part of the study was to recognize individual …

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 …

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