Skip to main content

Research Repository

Advanced Search

A Combined Offline and Online Algorithm for Real-Time and Long-Term Classification of Sheep Behaviour: Novel Approach for Precision Livestock Farming

Vázquez-Diosdado, Jorge A.; Paul, Veronica; Ellis, Keith A; Coates, David; Loomba, Radhika; Kaler, Jasmeet

A Combined Offline and Online Algorithm for Real-Time and Long-Term Classification of Sheep Behaviour: Novel Approach for Precision Livestock Farming Thumbnail


Authors

Jorge A. Vázquez-Diosdado

Veronica Paul

Keith A Ellis

David Coates

Radhika Loomba

JASMEET KALER JASMEET.KALER@NOTTINGHAM.AC.UK
Professor of Epidemiology & Precision Livestock Informatics



Contributors

Abstract

Real-time and long-term behavioural monitoring systems in precision livestock farming have huge potential to improve welfare and productivity for the better health of farm animals. However, some of the biggest challenges for long-term monitoring systems relate to “concept drift”, which occurs when systems are presented with challenging new or changing conditions, and/or in scenarios where training data is not accurately reflective of live sensed data. This study presents a combined offline algorithm and online learning algorithm which deals with concept drift and is deemed by the authors as a useful mechanism for long-term in-the-field monitoring systems. The proposed algorithm classifies three relevant sheep behaviours using information from an embedded edge device that includes tri-axial accelerometer and tri-axial gyroscope sensors. The proposed approach is for the first time reported in precision livestock behavior monitoring and demonstrates improvement in classifying relevant behaviour in sheep, in real-time, under dynamically changing conditions.

Citation

Vázquez-Diosdado, J. A., Paul, V., Ellis, K. A., Coates, D., Loomba, R., & Kaler, J. (2019). A Combined Offline and Online Algorithm for Real-Time and Long-Term Classification of Sheep Behaviour: Novel Approach for Precision Livestock Farming. Sensors, 19(14), Article 3201. https://doi.org/10.3390/s19143201

Journal Article Type Article
Acceptance Date Jul 18, 2019
Online Publication Date Jul 20, 2019
Publication Date Jul 20, 2019
Deposit Date Jul 31, 2019
Publicly Available Date Jul 31, 2019
Journal Sensors
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 19
Issue 14
Article Number 3201
DOI https://doi.org/10.3390/s19143201
Keywords Sensors , Precision Livestock Farming, Animal welfare
Public URL https://nottingham-repository.worktribe.com/output/2360904
Publisher URL https://www.mdpi.com/1424-8220/19/14/3201

Files




You might also like



Downloadable Citations