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 .
Item Type: | Image |
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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: |
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunication > TK5103.2 Wireless communication systems S Agriculture > SF Animal culture > SF371 Sheep |
Creators: | Al-Rubaye, Zainab, Al-Sherbaz, Ali, McCormick, Wanda D and Turner, Scott J |
Publisher: | The University of Northampton |
Northamptonshire and East Midlands: | ICT |
Faculties, Divisions and Institutes: |
University Faculties, Divisions and Research Centres - OLD > Moulton College Faculties > Faculty of Arts, Science & Technology > Computing |
Date: | 1 February 2017 |
Date Type: | Publication |
Place of Publication: | Northampton |
Language: | English |
Media of Output: | Image |
Status: | Published / Disseminated |
URI: | http://nectar.northampton.ac.uk/id/eprint/9779 |
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