article

Application note: Embedded sensor technology for real time determination of animal lying time

Authors:

Matthew Darr,

William EppersonAuthors Info & Claims

Computers and Electronics in Agriculture, Volume 66, Issue 1

Pages 106 - 111

https://doi.org/10.1016/j.compag.2009.01.004

Published: 01 April 2009 Publication History

Abstract

Lameness in dairy animals poses an immediate and significant animal welfare and economic concern. A new sensor has been developed to monitor and record the lying patterns of dairy cows in order to benefit the study of lameness. The sensor utilizes an embedded accelerometer to measure the orientation of the hind leg of an animal based on the relative direction of the gravitational field. A microcontroller with nano-watt power technology facilitates sensor sampling, data recording and time stamping, and interfacing with external hardware systems. The interrupt triggered firmware protocol enabled low power consumption and made efficient use of microcontroller's resources. A single measurement axis, oriented with the vertical position of the animal's hind leg, was found to be sufficient in determining lying activity. In repetitive testing on three unique Holstein dairy cows, the layometer sensor recorded 100% of the lying events and had a total difference in lying time of 2.2% when compared to a human observer. It was also shown that unique sensors provided a statistically similar response when applied to the same test animal. The technology presented within this publication is protected under international patent application PCT/US2008/059234.

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Cited By

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Achour BBelkadi MSaddaoui RFilali IAoudjit RLaghrouche M(2022)High-accuracy and energy-efficient wearable device for dairy cows’ localization and activity detection using low-cost IMU/RFID sensorsMicrosystem Technologies10.1007/s00542-022-05288-728:5(1241-1251)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s00542-022-05288-7
Kiani F(2018)Animal behavior management by energy-efficient wireless sensor networksComputers and Electronics in Agriculture10.1016/j.compag.2018.06.046151:C(478-484)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1016/j.compag.2018.06.046
Roland LLidauer LSattlecker GKickinger FAuer WSturm VEfrosinin DDrillich MIwersen M(2018)Monitoring drinking behavior in bucket-fed dairy calves using an ear-attached tri-axial accelerometerComputers and Electronics in Agriculture10.1016/j.compag.2018.01.008145:C(298-301)Online publication date: 1-Feb-2018
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Application note: Embedded sensor technology for real time determination of animal lying time

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cover image Computers and Electronics in Agriculture

Computers and Electronics in Agriculture Volume 66, Issue 1

April, 2009

113 pages

ISSN:0168-1699

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 April 2009

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Achour BBelkadi MSaddaoui RFilali IAoudjit RLaghrouche M(2022)High-accuracy and energy-efficient wearable device for dairy cows’ localization and activity detection using low-cost IMU/RFID sensorsMicrosystem Technologies10.1007/s00542-022-05288-728:5(1241-1251)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s00542-022-05288-7
Kiani F(2018)Animal behavior management by energy-efficient wireless sensor networksComputers and Electronics in Agriculture10.1016/j.compag.2018.06.046151:C(478-484)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1016/j.compag.2018.06.046
Roland LLidauer LSattlecker GKickinger FAuer WSturm VEfrosinin DDrillich MIwersen M(2018)Monitoring drinking behavior in bucket-fed dairy calves using an ear-attached tri-axial accelerometerComputers and Electronics in Agriculture10.1016/j.compag.2018.01.008145:C(298-301)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1016/j.compag.2018.01.008
Oudshoorn FCornou CHellwing AHansen HMunksgaard LLund PKristensen T(2013)Estimation of grass intake on pasture for dairy cows using tightly and loosely mounted di- and tri-axial accelerometers combined with bite countComputers and Electronics in Agriculture10.1016/j.compag.2013.09.01399:C(227-235)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1016/j.compag.2013.09.013
Anthony DBennett WVuran MDwyer MElbaum SChavez-Ramirez FSyrotiuk VAlagöz FBensaou BAkan Ö(2010)Simulating and testing mobile wireless sensor networksProceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems10.1145/1868521.1868531(49-58)Online publication date: 17-Oct-2010
https://dl.acm.org/doi/10.1145/1868521.1868531

Abstract

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Index Terms

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Computerized identification and classification of stance phases as made by front or hind feet of walking cows based on 3-dimensional ground reaction forces

Gait Anomaly Detection in Dairy Cattle

Gait determination and activity measurement in horses using an accelerometer

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