Literature DB >> 30856411

Evaluation of an ear-attached accelerometer for detecting estrus events in indoor housed dairy cows.

V Schweinzer1, E Gusterer2, P Kanz2, S Krieger2, D Süss2, L Lidauer3, A Berger3, F Kickinger3, M Öhlschuster3, W Auer3, M Drillich4, M Iwersen2.   

Abstract

Precision dairy farming technologies have tremendous potential to improve and support farmers in herd management decisions, particularly in reproductive management. Nowadays, estrus detection in cows is challenging and several supporting tools are available. In this study, a 3D-accelerometer integrated into an ear-tag (SMARTBOW, Smartbow GmbH, Weibern, Austria) was used for the detection of cows in estrus. Movement pattern based on accelerometer data were analyzed and processed by algorithms and machine learning, resulting in estrus alerts. For the evaluation of the system, reproductive performance data of 579 estrus events of multiparous cows were used to retrospectively evaluate the accuracy of estrus alerts generated by the accelerometer-based system and the overall performance of the system. Estrus events were classified as 'gold standard' events, if an estrus followed by AI resulted in pregnancy, and as 'recorded estrus' events, if two estrus events with an interval of 18-25 d were in the herd records, independent of whether estrus was followed by AI or pregnancy. In total, 316 'gold standard' events were matched with estrus alerts generated by the accelerometer-based system, resulting in a sensitivity of 97%. Furthermore, 263 'recorded estrus' events were compared with correct or incorrect estrus alerts by the system. Sensitivity, specificity, positive and negative predictive values, accuracy, and error rate for 'recorded estrus' events were 97%, 98%, 96%, 94%, 96%, and 2%, respectively. In summary, the SMARTBOW system is suitable for an automated detection of estrus events of multiparous cows in indoor housed dairy cows.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accelerometer; Dairy cow; Estrus detection; Monitoring; Reproduction

Mesh:

Year:  2019        PMID: 30856411     DOI: 10.1016/j.theriogenology.2019.02.038

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  6 in total

1.  Early Detection of Respiratory Diseases in Calves by Use of an Ear-Attached Accelerometer.

Authors:  Nasrin Ramezani Gardaloud; Christian Guse; Laura Lidauer; Alexandra Steininger; Florian Kickinger; Manfred Öhlschuster; Wolfgang Auer; Michael Iwersen; Marc Drillich; Daniela Klein-Jöbstl
Journal:  Animals (Basel)       Date:  2022-04-23       Impact factor: 3.231

2.  A Systematic Review on Commercially Available and Validated Sensor Technologies for Welfare Assessment of Dairy Cattle.

Authors:  Anna H Stygar; Yaneth Gómez; Greta V Berteselli; Emanuela Dalla Costa; Elisabetta Canali; Jarkko K Niemi; Pol Llonch; Matti Pastell
Journal:  Front Vet Sci       Date:  2021-03-29

Review 3.  Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study.

Authors:  Philip Shine; Michael D Murphy
Journal:  Sensors (Basel)       Date:  2021-12-22       Impact factor: 3.576

4.  Assessment of the Relationship between Postpartum Health and Mid-Lactation Performance, Behavior, and Feed Efficiency in Holstein Dairy Cows.

Authors:  Malia J Martin; Kent A Weigel; Heather M White
Journal:  Animals (Basel)       Date:  2021-05-13       Impact factor: 2.752

5.  A LoRa sensor network for monitoring pastured livestock location and activity.

Authors:  B R Dos Reis; Z Easton; R R White; D Fuka
Journal:  Transl Anim Sci       Date:  2021-01-25

6.  Combination of Sensor Data and Health Monitoring for Early Detection of Subclinical Ketosis in Dairy Cows.

Authors:  Valentin Sturm; Dmitry Efrosinin; Manfred Öhlschuster; Erika Gusterer; Marc Drillich; Michael Iwersen
Journal:  Sensors (Basel)       Date:  2020-03-08       Impact factor: 3.576

  6 in total

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