Al-Rubaye, Z., Al-Sherbaz, A., McCormick, W. D. and Turner, S. J. (2017) Sheep in Northampton use smart device as a sensor. [Image]. Northampton: The University of Northampton .
- Images
- Information
Information
Abstract:
Lameness is a clinical symptom related to movement disorder
in the locomotion systems of the animal. It is considered one of the primary welfare concerns in the sheep industry in the UK due to the annual loss, which is estimated to be £10 for each ewe according to a 2016 Agriculture and Horticulture Development Board report. This research aims to develop an automatic model for early detection of lameness in sheep by analysing the data that will be retrieved from a sensor mounted on a collar on the sheep’s neck. This extensive spatiotemporal data will be classified to infer the associated behaviour of the lame sheep. The prior detection of the lame sheep will be expected to decrease the prevalence of lameness and enable the shepherd to react quickly with better treatment.
Additional Information:
Part of the the University of Northampton Graduate School Images of Research 2016-17 travelling exhibition shown at Avenue campus and Park campus between 1 February and 13 April 2017.
Subjects:
Creators:
Al-Rubaye, Z., Al-Sherbaz, A., McCormick, W. D. and Turner, S. J.
Publisher:
The University of Northampton
Northamptonshire and East Midlands:
ICT
Faculties, Divisions and Institutes:
Date:
1 February 2017
Date Type:
Publication
Place of Publication:
Northampton
Language:
English
Media of Output:
Image
Status:
Published / Disseminated
![]() |