Literature DB >> 32575756

Virtual Fencing Technology Excludes Beef Cattle from an Environmentally Sensitive Area.

Dana L M Campbell1, Jackie Ouzman2, Damian Mowat2, Jim M Lea1, Caroline Lee1, Rick S Llewellyn2.   

Abstract

The eShepherd® virtual fencing system being commercialized for cattle has the potential to exclude cattle from environmentally sensitive areas. Animals are given audio cues to indicate a fence line via a neckband device. An electrical pulse is administered if the animal continues moving forward following an audio cue. A commercial trial was conducted in South Australia to assess whether virtual fencing technology could exclude 20 cattle from an area of regenerating saplings; across 44 days; using a contoured fence line. The results showed that the cattle were able to rapidly learn the virtual fencing cues; responding appropriately to the audio cue for 74.5% of 4378 audio signals; and were excluded from the regenerating area for 99.8% of the trial period with the more complex fence line (contoured; not straight) in place. IceQube R's® measuring lying time and bouts showed no consistent increasing or decreasing pattern of change. At the trial conclusion; the feed available in the protected zone was double the quantity and quality of the grazed zone. Technical issues occurred with some of the pre-commercial prototype devices; but those versions are now obsolete. This study observed a single group of cattle in one paddock; further testing of the virtual technology is warranted.

Entities:  

Keywords:  GPS; LAI; behavior; lying time; pasture; regenerating; time budget

Year:  2020        PMID: 32575756     DOI: 10.3390/ani10061069

Source DB:  PubMed          Journal:  Animals (Basel)        ISSN: 2076-2615            Impact factor:   2.752


  3 in total

1.  Is Virtual Fencing an Effective Way of Enclosing Cattle? Personality, Herd Behaviour and Welfare.

Authors:  Magnus Fjord Aaser; Søren Krabbe Staahltoft; Andreas Hein Korsgaard; Adam Trige-Esbensen; Aage Kristian Olsen Alstrup; Christian Sonne; Cino Pertoldi; Dan Bruhn; John Frikke; Anne Cathrine Linder
Journal:  Animals (Basel)       Date:  2022-03-27       Impact factor: 2.752

2.  Assessing the Accuracy of Leg Mounted Sensors for Recording Dairy Cow Behavioural Activity at Pasture, in Cubicle Housing and a Straw Yard.

Authors:  Gemma Charlton; Carrie Gauld; Fabio Veronesi; Steven Mark Rutter; Emma Bleach
Journal:  Animals (Basel)       Date:  2022-03-03       Impact factor: 2.752

3.  Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras.

Authors:  Sigfredo Fuentes; Claudia Gonzalez Viejo; Surinder S Chauhan; Aleena Joy; Eden Tongson; Frank R Dunshea
Journal:  Sensors (Basel)       Date:  2020-11-06       Impact factor: 3.576

  3 in total

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