Literature DB >> 33833361

Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding.

Kate J Yaxley1, Keith F Joiner2, Hussein Abbass3.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33833361     DOI: 10.1038/s41598-021-87453-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  2 in total

Review 1.  Extensive Sheep and Goat Production: The Role of Novel Technologies towards Sustainability and Animal Welfare.

Authors:  Severiano R Silva; Laura Sacarrão-Birrento; Mariana Almeida; David M Ribeiro; Cristina Guedes; José Ramiro González Montaña; Alfredo F Pereira; Konstantinos Zaralis; Ana Geraldo; Ouranios Tzamaloukas; Marta González Cabrera; Noemí Castro; Anastasio Argüello; Lorenzo E Hernández-Castellano; Ángel J Alonso-Diez; María J Martín; Luis G Cal-Pereyra; George Stilwell; André M de Almeida
Journal:  Animals (Basel)       Date:  2022-03-31       Impact factor: 2.752

2.  UBER: UAV-Based Energy-Efficient Reconfigurable Routing Scheme for Smart Wireless Livestock Sensor Network.

Authors:  Mohammed A Alanezi; Abdulazeez F Salami; Yusuf A Sha'aban; Houssem R E H Bouchekara; Mohammad S Shahriar; Mohammed Khodja; Mostafa K Smail
Journal:  Sensors (Basel)       Date:  2022-08-17       Impact factor: 3.847

  2 in total

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