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

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    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
    Number of pages3
    Publication statusPublished - 6 Nov 2017
    EventIEEE Sensors 2017 Conference - SEC, Glasgow, United Kingdom
    Duration: 29 Oct 20171 Nov 2017


    ConferenceIEEE Sensors 2017 Conference
    Country/TerritoryUnited Kingdom


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


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