Effectiveness of optical, digital, and hybrid zoom equipped drones for use in reading livestock ear tags for individual animal identification

Author:

Church John S.1ORCID,Gegout Mathis2,Adams Paul J.3

Affiliation:

1. Department of Natural Resource Sciences, Thompson Rivers University, Kamloops, BC V2C 0K8, Canada

2. Institut Agro Dijon, 26 Bd Dr Petitjean, 21079 Dijon, France

3. Applied Genomics Centre, Kwantlen Polytechnique University, Surrey, BC V3W 2M8, Canada

Abstract

Predicting how advertised zoom capabilities of commercially available drones being deployed for animal management will perform can be difficult, as promotional and marketing materials supplied by the manufacturer do not necessarily reflect real-world performance. We compared our ability to read livestock ear tags used for individual animal identification using various drone models with differing zoom capabilities. Drone models were assessed at various distances using a veterinary bovine head model to determine their ability to read livestock ear tags of various colours and sizes, and to establish observational distance limits. Results indicate that while drones that primarily utilize optical zoom are preferable, newer model drones equipped with hybrid zoom cameras that utilize computational photography are superior to 5-year-old drone models equipped with only digital zoom cameras. Recently released drone models are now capable of reading livestock ear tags at distances exceeding 60 m and perform equivalent to binoculars in terms of discerning numbers printed on various coloured livestock ear tags.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Canadian Science Publishing

Subject

Control and Optimization,Electrical and Electronic Engineering,Control and Systems Engineering,Automotive Engineering,Aerospace Engineering,Computer Science Applications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3