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Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding
Consumer groups are pressuring modern farmers to be more efficient with a focus on better animal welfare. Herding risks farmer lives, involves stress from farm dogs, and if not performed often and intelligently, risks neglect. We examined the behavioural and physiological response of twelve Dorper s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032684/ https://www.ncbi.nlm.nih.gov/pubmed/33833361 http://dx.doi.org/10.1038/s41598-021-87453-y |
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author | Yaxley, Kate J. Joiner, Keith F. Abbass, Hussein |
author_facet | Yaxley, Kate J. Joiner, Keith F. Abbass, Hussein |
author_sort | Yaxley, Kate J. |
collection | PubMed |
description | Consumer groups are pressuring modern farmers to be more efficient with a focus on better animal welfare. Herding risks farmer lives, involves stress from farm dogs, and if not performed often and intelligently, risks neglect. We examined the behavioural and physiological response of twelve Dorper sheep (Ovies aries) to a drone to adapt mathematical models of shepherding to the new dimension. The model aims to make it feasible for artificial intelligence to improve the autonomy of farmers and pilots in shepherding from the sky. Sheep acclimatised quickly and positively to the drone initiating drive of a flock, regardless of drone speed. Our results demonstrate that stimulating sheep auditory awareness during herding from the sky leads to varying sheep responses. When controlled, these auditory cues can maintain safer distances between the drone and the sheep, offering great potential for the agriculture industry. We outline our ongoing research plans to achieve more autonomous sky shepherding that is compassionate to animal welfare and trusted by farmers and the consuming public. |
format | Online Article Text |
id | pubmed-8032684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80326842021-04-09 Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding Yaxley, Kate J. Joiner, Keith F. Abbass, Hussein Sci Rep Article Consumer groups are pressuring modern farmers to be more efficient with a focus on better animal welfare. Herding risks farmer lives, involves stress from farm dogs, and if not performed often and intelligently, risks neglect. We examined the behavioural and physiological response of twelve Dorper sheep (Ovies aries) to a drone to adapt mathematical models of shepherding to the new dimension. The model aims to make it feasible for artificial intelligence to improve the autonomy of farmers and pilots in shepherding from the sky. Sheep acclimatised quickly and positively to the drone initiating drive of a flock, regardless of drone speed. Our results demonstrate that stimulating sheep auditory awareness during herding from the sky leads to varying sheep responses. When controlled, these auditory cues can maintain safer distances between the drone and the sheep, offering great potential for the agriculture industry. We outline our ongoing research plans to achieve more autonomous sky shepherding that is compassionate to animal welfare and trusted by farmers and the consuming public. Nature Publishing Group UK 2021-04-08 /pmc/articles/PMC8032684/ /pubmed/33833361 http://dx.doi.org/10.1038/s41598-021-87453-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yaxley, Kate J. Joiner, Keith F. Abbass, Hussein Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding |
title | Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding |
title_full | Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding |
title_fullStr | Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding |
title_full_unstemmed | Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding |
title_short | Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding |
title_sort | drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032684/ https://www.ncbi.nlm.nih.gov/pubmed/33833361 http://dx.doi.org/10.1038/s41598-021-87453-y |
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