Literature DB >> 28803017

Technical note: Use of an automated grooming brush by heifers and potential for radiofrequency identification-based measurements of this behavior.

Rachel L Toaff-Rosenstein1, Martin Velez2, Cassandra B Tucker3.   

Abstract

Healthy cattle readily use grooming brushes but this behavior subsides when animals become ill. Tracking use of a brush may provide an opportunity for health monitoring, especially if the process could be automated. We assessed how healthy heifers groom themselves on a brush and hypothesized that radiofrequency identification (RFID) could be used to accurately and automatically record this behavior. Angus and Hereford heifers (n = 16) were fitted with 2 ultra-high-frequency RFID ear tags and monitored in groups of 8 while housed in a pen with an electronic brush, video cameras, and 4 RFID antennas. Each heifer was observed for a 6-h period using continuous video recordings, and brush contact was characterized in terms of anatomic region involved (head/neck, trunk, or posterior) and when not touching the brush but within 1 body length of it. The RFID data were collected for the same period and then processed such that intervals of up to 16 s with no detections but contained between 2 recordings were also considered positive (animal in brush proximity). Brush proximity (RFID) was regressed against brush contact duration (video) and the sensitivity and specificity for each individual heifer calculated. Across heifers, the majority of brush use involved the head/neck, although a few heifers demonstrated relatively large amounts of posterior contact, which contributed to false-negative readings when antennas failed to read the ear tags. Furthermore, for the majority of time that animals were near the brush, they were not in contact with it but rather standing or lying nearby, resulting in false-positive readings. It follows that the ability of the RFID system to accurately detect brush contact varied widely across individual heifers (sensitivity 0.54-1.0; specificity 0.59-0.98), with RFID generally overestimating the duration of brush proximity relative to actual time spent in brush contact. The implication is that RFID-based ear tag recording of brush proximity relative to continuous video observations of contact does not yield accurate results in certain heifers and therefore, as currently configured, is not a reliable representation of this type of grooming behavior.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  automation; grooming; health monitoring; radiofrequency identification (RFID)

Mesh:

Year:  2017        PMID: 28803017     DOI: 10.3168/jds.2017-12984

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


  6 in total

1.  Impact of Stationary Brush Quantity on Brush Use in Group-Housed Dairy Heifers.

Authors:  Faith S Reyes; Amanda R Gimenez; Kaylee M Anderson; Emily K Miller-Cushon; Joao R Dorea; Jennifer M C Van Os
Journal:  Animals (Basel)       Date:  2022-04-08       Impact factor: 3.231

2.  Calves Use an Automated Brush and a Hanging Rope When Pair-Housed.

Authors:  Gosia Zobel; Heather W Neave; Harold V Henderson; James Webster
Journal:  Animals (Basel)       Date:  2017-11-09       Impact factor: 2.752

Review 3.  Welfare Effects of the Use of a Combination of Local Anesthesia and NSAID for Disbudding Analgesia in Dairy Calves-Reviewed Across Different Welfare Concerns.

Authors:  Mette S Herskin; Bodil H Nielsen
Journal:  Front Vet Sci       Date:  2018-06-05

4.  Effect of a mechanical grooming brush on the behavior and health of recently weaned heifer calves.

Authors:  Ana Velasquez-Munoz; Diego Manriquez; Sushil Paudyal; Gilberto Solano; Hyungchul Han; Robert Callan; Juan Velez; Pablo Pinedo
Journal:  BMC Vet Res       Date:  2019-08-08       Impact factor: 2.741

5.  Setup, Test and Validation of a UHF RFID System for Monitoring Feeding Behaviour of Dairy Cows.

Authors:  Felix Adrion; Markus Keller; Giulia Bianca Bozzolini; Christina Umstatter
Journal:  Sensors (Basel)       Date:  2020-12-09       Impact factor: 3.576

6.  A Systematic Review of Automatic Health Monitoring in Calves: Glimpsing the Future From Current Practice.

Authors:  Dengsheng Sun; Laura Webb; P P J van der Tol; Kees van Reenen
Journal:  Front Vet Sci       Date:  2021-11-26
  6 in total

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