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

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 …

Recent research shows great importance in monitoring the behavior of livestock through
posture, mainly to identify the health issues of livestock. Concerns about the health …

The behaviour and posture of animals are closely related to their physiological conditions.
To some extent, we can judge their physiological activity by their behaviour and posture …

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 …

The existing algorithms for identifying and tracking pigs in barns generally have a large
number of parameters, relatively complex networks and a high demand for computational …

Pork production is hugely impacted by the health and breeding of pigs. Analyzing the eating
pattern of pigs helps in optimizing the supply chain management with a healthy breeding …

Automated pig monitoring is important for smart pig farms; thus, several deep-learning-
based pig monitoring techniques have been proposed recently. In applying automated pig …

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 …