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 language | English |
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Pages | 978-980 |
Number of pages | 3 |
DOIs | |
Publication status | Published - 6 Nov 2017 |
Event | IEEE Sensors 2017 Conference - SEC, Glasgow, United Kingdom Duration: 29 Oct 2017 → 1 Nov 2017 |
Conference
Conference | IEEE Sensors 2017 Conference |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 29/10/17 → 1/11/17 |
Keywords
- distributed sensing
- hostile environment
- sensor
- enclosure
- animal weight estimation
- big data
- IoT