Literature DB >> 33455761

Evaluation of the RumiWatch system as a benchmark to monitor feeding and locomotion behaviors of grazing dairy cows.

G M Pereira1, K T Sharpe1, B J Heins2.   

Abstract

Direct visual observation is a common method for validation of animal behavior technologies; however, visual observations are time consuming and subject to human error. The objective of this study was to evaluate the RumiWatch system (Itin and Hoch GmbH, Liestal, Switzerland), which is composed of a noseband sensor and a pedometer, for monitoring feeding and locomotion behaviors of grazing dairy cows, to determine its accuracy for use as a benchmark in validation studies. The study was conducted at the University of Minnesota West Central Research and Outreach Center in Morris, Minnesota, from May to June 2018. Two experiments were conducted and validated: (1) feeding and locomotion behaviors and (2) rumination cycle and grazing bites. Lactating crossbred dairy cows (n = 12) were offered pasture for 22 h/d, and cows were milked twice daily. Visual observations were recorded by 3 observers with the Pocket Observer app (Noldus Information Technology, Leesburg, VA). The first experiment determined agreement for visual observations and the RumiWatch noseband sensor and pedometer from 144 h of feeding and locomotion behaviors. The second experiment determined agreement for visual observations and the RumiWatch noseband sensor from 17.75 h of rumination cycle and grazing bites. Pearson correlations evaluated associations for visual observations, and the RumiWatch noseband sensor and pedometer and were 0.84 for rumination, 0.76 for grazing, 0.39 for drinking, 0.57 for other activities, 0.83 for standing, 0.91 for lying, and 0.38 for walking. Correlations for visual observations and rumination cycle and grazing bites were -0.13 and 0.47, respectively. The RumiWatch system evaluated rumination, grazing, standing, and lying behaviors with high precision and accuracy, and the RumiWatch system may be used as a benchmark instead of visual observation to validate animal behavior technologies.
Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  RumiWatch; grazing; validation

Mesh:

Year:  2021        PMID: 33455761     DOI: 10.3168/jds.2020-18952

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

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Journal:  Sensors (Basel)       Date:  2022-06-07       Impact factor: 3.847

2.  Validation of NEDAP Monitoring Technology for Measurements of Feeding, Rumination, Lying, and Standing Behaviors, and Comparison with Visual Observation and Video Recording in Buffaloes.

Authors:  Ray Adil Quddus; Nisar Ahmad; Anjum Khalique; Jalees Ahmed Bhatti
Journal:  Animals (Basel)       Date:  2022-02-25       Impact factor: 2.752

3.  The Use of Animal's Body, Scrotal Temperature and Motion Monitoring in Evaluating Boar Semen Production Capacity.

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Journal:  Animals (Basel)       Date:  2022-03-24       Impact factor: 2.752

4.  Assessment of feeding, ruminating and locomotion behaviors in dairy cows around calving - a retrospective clinical study to early detect spontaneous disease appearance.

Authors:  Mahmoud Fadul; Luigi D'Andrea; Maher Alsaaod; Giuliano Borriello; Antonio Di Lori; Dimitri Stucki; Paolo Ciaramella; Adrian Steiner; Jacopo Guccione
Journal:  PLoS One       Date:  2022-03-04       Impact factor: 3.240

5.  Identification of Changes in Rumination Behavior Registered with an Online Sensor System in Cows with Subclinical Mastitis.

Authors:  Ramūnas Antanaitis; Vida Juozaitienė; Dovilė Malašauskienė; Mindaugas Televičius; Mingaudas Urbutis; Arūnas Rutkaukas; Greta Šertvytytė; Walter Baumgartner
Journal:  Vet Sci       Date:  2022-08-24
  5 in total

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