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An approach for early lameness detection in dairy cattle

Published: 11 September 2017 Publication History

Abstract

A common welfare issue in the dairy industry is cow lameness. Lame cows produce less milk and have other costs associated such as the loss of reproductive performance and the need for veterinary treatment. The earlier a lame cow is detected, the more effectively it can be treated. Currently, lame cows are detected by visual inspection performed by herdsmen. However, visual inspection is subjective and time consuming. We present an approach to automatically detect lameness based on a wearable motion sensor attached to a cow's hind left leg and a pressure plate.

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Cited By

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  • (2020)Precision livestock farming: automatic lameness detection in intensive livestock systemsCABI Reviews10.1079/PAVSNNR202015031Online publication date: 9-Jun-2020
  • (2020)Towards combining data prediction and internet of things to manage milk production on dairy cowsComputers and Electronics in Agriculture10.1016/j.compag.2019.105156169(105156)Online publication date: Feb-2020
  • (2018)A Wearable Sensor System for Lameness Detection in Dairy CattleMultimodal Technologies and Interaction10.3390/mti20200272:2(27)Online publication date: 15-May-2018
  • Show More Cited By

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  1. An approach for early lameness detection in dairy cattle

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    cover image ACM Conferences
    UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
    September 2017
    1089 pages
    ISBN:9781450351904
    DOI:10.1145/3123024
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 11 September 2017

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    Author Tags

    1. anomaly detection
    2. cow
    3. gait analysis
    4. lameness

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2020)Precision livestock farming: automatic lameness detection in intensive livestock systemsCABI Reviews10.1079/PAVSNNR202015031Online publication date: 9-Jun-2020
    • (2020)Towards combining data prediction and internet of things to manage milk production on dairy cowsComputers and Electronics in Agriculture10.1016/j.compag.2019.105156169(105156)Online publication date: Feb-2020
    • (2018)A Wearable Sensor System for Lameness Detection in Dairy CattleMultimodal Technologies and Interaction10.3390/mti20200272:2(27)Online publication date: 15-May-2018
    • (2018)Gait analysis in horse sportsProceedings of the Fifth International Conference on Animal-Computer Interaction10.1145/3295598.3295601(1-6)Online publication date: 4-Dec-2018
    • (2018)Gait and jump classification in modern equestrian sportsProceedings of the 2018 ACM International Symposium on Wearable Computers10.1145/3267242.3267267(88-91)Online publication date: 8-Oct-2018
    • (2017)iPigProceedings of the Fourth International Conference on Animal-Computer Interaction10.1145/3152130.3152145(1-5)Online publication date: 21-Nov-2017

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