Dr Ali Alameer A.Alameer1@salford.ac.uk
Lecturer in Artificial Intelligence
Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs
Alameer, A; Kryiazakis, I; Bacardit, J
Authors
I Kryiazakis
J Bacardit
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 visual imaging remains a challenge due to farm demanding conditions, e.g., occlusion of one pig from another. Here, two deep learning-based detector methods were developed to identify pig postures and drinking behaviours of group-housed pigs. We first tested the system ability to detect changes in these measures at group-level during routine management. We then demonstrated the ability of our automated methods to identify behaviours of individual animals with a mean average precision of 0.989±0.009, under a variety of settings. When the pig feeding regime was disrupted, we automatically detected the expected deviations from the daily feeding routine in standing, lateral lying and drinking behaviours. These experiments demonstrate that the method is capable of robustly and accurately monitoring individual pig behaviours under commercial conditions, without the need for additional sensors or individual pig identification, hence providing a scalable technology to improve the health and well-being of farm animals. The method has the potential to transform how livestock are monitored and address issues in livestock farming, such as targeted treatment of individuals with medication.
Citation
Alameer, A., Kryiazakis, I., & Bacardit, J. (2020). Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs. Scientific reports, 10, 13665. https://doi.org/10.1038/s41598-020-70688-6
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 30, 2020 |
Online Publication Date | Aug 12, 2020 |
Publication Date | Aug 12, 2020 |
Deposit Date | May 26, 2022 |
Publicly Available Date | Jun 13, 2022 |
Journal | Scientific Reports |
Print ISSN | 2045-2322 |
Publisher | Nature Publishing Group |
Volume | 10 |
Pages | 13665 |
DOI | https://doi.org/10.1038/s41598-020-70688-6 |
Publisher URL | http://dx.doi.org/10.1038/s41598-020-70688-6 |
Additional Information | Additional Information : Dataset can be found here: https://data.ncl.ac.uk/articles/dataset/Automated_recognition_of_postures_and_drinking_behaviour_for_the_detection_of_compromised_health_in_pigs/13042619 |
Files
s41598-020-70688-6.pdf
(3.6 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
The Intersection of Generative AI and Healthcare: Addressing Challenges to Enhance Patient Care
(2024)
Conference Proceeding
A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring
(2024)
Journal Article
Automated detection and quantification of contact behaviour in pigs using deep learning
(2022)
Journal Article
Labeled projective dictionary pair learning: application to handwritten numbers recognition
(2022)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search