Literature DB >> 33049377

Accelerometer systems as tools for health and welfare assessment in cattle and pigs - A review.

Jose M Chapa1, Kristina Maschat2, Michael Iwersen3, Johannes Baumgartner4, Marc Drillich5.   

Abstract

Welfare assessment has traditionally been performed by direct observation by humans, providing information at only selected points in time. Recently, this assessment method has been questioned, as 'Precision Livestock Farming' technologies may be able to deliver more valid, reliable and feasible real-time data at the individual level and serve as early monitoring systems for animal welfare. The aim of this paper is to describe how accelerometers can be used for welfare assessment based on the principles of the Welfare Quality assessment protocol. Algorithm development is based mainly on the detection of behavioural traits. So far, high accuracies have been found for movement and resting behaviours in cows and pigs, while algorithm development for feeding and drinking behaviours in pigs lag behind progress in cows where valid algorithms are already available. Welfare studies have used accelerometer technology to address the effects on behaviour of diet, daily cycle, enrichment, housing, social mixing, oestrus, lameness and disease. Additional aspects to consider before a decision is made upon its use in research and in practical applications include battery life and sensor location. While accelerometer systems for cows are already being used by farmers, application in pigs has mainly remained at the research level.
Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerometry; Algorithm; Animal welfare; Behaviour; Cattle; Swine

Mesh:

Year:  2020        PMID: 33049377     DOI: 10.1016/j.beproc.2020.104262

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  8 in total

Review 1.  Impact of housing environment and management on pre-/post-weaning piglet productivity.

Authors:  Brett C Ramirez; Morgan D Hayes; Isabella C F S Condotta; Suzanne M Leonard
Journal:  J Anim Sci       Date:  2022-06-01       Impact factor: 3.338

2.  Behavioral changes of sows with changes in flattening rate.

Authors:  Ka-Young Yang; Dong-Hwa Jang; Kyeong-Seok Kwon; Taehwan Ha; Jong-Bok Kim; Jae Jung Ha; Jun-Yeob Lee; Jung Kon Kim
Journal:  J Anim Sci Technol       Date:  2022-05-31

3.  GAN-Based Video Denoising with Attention Mechanism for Field-Applicable Pig Detection System.

Authors:  Zhao Bo; Othmane Atif; Jonguk Lee; Daihee Park; Yongwha Chung
Journal:  Sensors (Basel)       Date:  2022-05-22       Impact factor: 3.847

4.  Recognition of Cattle's Feeding Behaviors Using Noseband Pressure Sensor With Machine Learning.

Authors:  Guipeng Chen; Cong Li; Yang Guo; Hang Shu; Zhen Cao; Beibei Xu
Journal:  Front Vet Sci       Date:  2022-05-25

5.  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

6.  The Influence of Environmental Conditions on Intake Behavior and Activity by Feedlot Steers Fed Corn or Barley-Based Diets.

Authors:  Hannah M DelCurto-Wyffels; Julia M Dafoe; Cory T Parsons; Darrin L Boss; Timothy DelCurto; Samuel A Wyffels; Megan L Van Emon; Janice G P Bowman
Journal:  Animals (Basel)       Date:  2021-04-27       Impact factor: 2.752

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

Authors:  Vasiliki Stravogianni; Theodoros Samaras; Constantin M Boscos; John Markakis; Evdokia Krystallidou; Athina Basioura; Ioannis A Tsakmakidis
Journal:  Animals (Basel)       Date:  2022-03-24       Impact factor: 2.752

Review 8.  Affective State Recognition in Livestock-Artificial Intelligence Approaches.

Authors:  Suresh Neethirajan
Journal:  Animals (Basel)       Date:  2022-03-17       Impact factor: 3.231

  8 in total

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