Identification of the rumination in cattle using support vector machines with motion-sensitive bolus sensors
Hamilton, Andrew W. and Davison, Chris and Tachtatzis, Christos and Andonovic, Ivan and Michie, Craig and Ferguson, Holly J. and Somerville, Laura and Jonsson, Nicholas N. (2019) Identification of the rumination in cattle using support vector machines with motion-sensitive bolus sensors. Sensors, 19 (5). 1165. ISSN 1424-8220 (https://doi.org/10.3390/s19051165)
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Abstract
The reticuloruminal function is central to the digestive efficiency in ruminants. For cattle, collar- and ear tag-based accelerometer monitors have been developed to assess the time spent ruminating on an individual animal. Cattle that are ill feed less and so ruminate less, thus, the estimation of the time spent ruminating provides insights into the health of individual animals. pH boluses directly provide information on the reticuloruminal function within the rumen and extended (three hours or more) periods during which the ruminal pH value remains below 5.6 is an indicator that dysfunction and poor welfare are likely. Accelerometers, incorporated into the pH boluses, have been used to indicate changes in behaviour patterns (high/low activity), utilised to detect the onset of oestrus. The paper demonstrates for the first time that by processing the reticuloruminal motion, it is possible to recover rumination periods. Reticuloruminal motion energy and the time between reticuloruminal contractions are used as inputs to a Support Vector Machine (SVM) to identify rumination periods with an overall accuracy of 86.1%, corroborated by neck mounted rumination collars.
ORCID iDs
Hamilton, Andrew W. ORCID: https://orcid.org/0000-0002-8436-8325, Davison, Chris ORCID: https://orcid.org/0000-0002-9450-1791, Tachtatzis, Christos ORCID: https://orcid.org/0000-0001-9150-6805, Andonovic, Ivan ORCID: https://orcid.org/0000-0001-9093-5245, Michie, Craig ORCID: https://orcid.org/0000-0001-5132-4572, Ferguson, Holly J., Somerville, Laura and Jonsson, Nicholas N.;-
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Item type: Article ID code: 67199 Dates: DateEvent7 March 2019Published3 March 2019AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Measurement Science and Enabling TechnologiesDepositing user: Pure Administrator Date deposited: 06 Mar 2019 15:28 Last modified: 22 Dec 2024 01:23 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/67199