Floor Sensors of Animal Weight and Gait for Precision Livestock Farming

John Vaughan, Peter Green, Michael Salter, Bruce Grieve, Krikor Ozanyan

    Research output: Contribution to conferencePaperpeer-review

    646 Downloads (Pure)

    Abstract

    We report first results on developing smart sensor systems for the automatic and frequent collection of animal weight and gait data, under the hostile conditions of a livestock farm. The novelty in our approach is to sense frequently the animals’ floor contact, in suitably chosen locations, under natural and unobtrusive conditions. We demonstrate a pilot low profile rubberized mat sensor heads, delivering a large number of plastic optical fiber transmission measurements taken frequently from individual deformation sensors. The acquired data allows gait analysis from guided-path tomography images or by machine learning. We demonstrate weight estimation with accuracy better than 1% over a range suitable for deployment in pig farms.
    Original languageEnglish
    Pages978-980
    Number of pages3
    DOIs
    Publication statusPublished - 6 Nov 2017
    EventIEEE Sensors 2017 Conference - SEC, Glasgow, United Kingdom
    Duration: 29 Oct 20171 Nov 2017

    Conference

    ConferenceIEEE Sensors 2017 Conference
    Country/TerritoryUnited Kingdom
    CityGlasgow
    Period29/10/171/11/17

    Keywords

    • distributed sensing
    • hostile environment
    • sensor
    • enclosure
    • animal weight estimation
    • big data
    • IoT

    Fingerprint

    Dive into the research topics of 'Floor Sensors of Animal Weight and Gait for Precision Livestock Farming'. Together they form a unique fingerprint.

    Cite this