Infrared thermography as a tool to detect hoof lesions in sheep

Author:

Byrne Daire T12,Berry Donagh P1,Esmonde Harold2,McGovern Fiona3,Creighton Philip3,McHugh Nóirín1

Affiliation:

1. Animal and Grassland Research and Innovation Centre, Teagasc, Fermoy, Cork, Ireland

2. School of mechanical and manufacturing engineering, Dublin City University, Glasnevin, Dublin, Ireland

3. Animal and Grassland Research and Innovation Centre, Teagasc, Mellows Campus, Athenry, Galway, Ireland

Abstract

Abstract Lameness has a major negative impact on sheep production. The objective of this study was to 1) quantify the repeatability of sheep hoof temperatures estimated using infrared thermography (IRT); 2) determine the relationship between ambient temperature, sheep hoof temperature, and sheep hoof health status; and 3) validate the use of IRT to detect infection in sheep hooves. Three experiments (a repeatability, exploratory, and validation experiment) were conducted over 10 distinct nonconsecutive days. In the repeatability experiment, 30 replicate thermal images were captured from each of the front and back hooves of nine ewes on a single day. In the exploratory experiment, hoof lesion scores, locomotion scores, and hoof thermal images were recorded every day from the same cohort of 18 healthy ewes in addition to a group of lame ewes, which ranged from one to nine ewes on each day. Hoof lesion and locomotion scores were blindly recorded by three independent operators. In the validation experiment, all of the same procedures from the exploratory experiment were applied to a new cohort of 40 ewes across 2 d. The maximum and average temperature of each hoof was extracted from the thermal images. Repeatability of IRT measurements was assessed by partitioning the variance because of ewe and error using mixed models. The relationship between ambient temperature, hoof temperature, and hoof health status was quantified using mixed models. The percentage of hooves correctly classified as healthy (i.e., specificity) and infected (i.e., sensitivity) was calculated for a range of temperature thresholds. Results showed that a small-to-moderate proportion of the IRT-estimated temperature variability in a given hoof was due to error (1.6% to 20.7%). A large temperature difference (8.5 °C) between healthy and infected hooves was also detected. The maximum temperature of infected hooves was unaffected by ambient temperature (P > 0.05), whereas the temperature of healthy hooves was associated with ambient temperature. The best sensitivity (92%) and specificity (91%) results in the exploratory experiment were observed when infected hooves were defined as having a maximum hoof temperature ≥9 °C above the average of the five coldest hooves in the flock on that day. When the same threshold was applied to the validation dataset, a sensitivity of 77% and specificity of 78% was achieved, indicating that IRT could have the potential to detect infection in sheep hooves.

Funder

Department of Agriculture, Food, and Marine Research Stimulus

Publisher

Oxford University Press (OUP)

Subject

General Veterinary,Animal Science and Zoology

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. YOLO-Claw: A fast and accurate method for chicken claw detection;Engineering Applications of Artificial Intelligence;2024-10

2. Hypothalamic Neuromodulation and Control of the Dermal Surface Temperature of Livestock during Hyperthermia;Animals;2024-06-09

3. Seasonal assessment of mastitis using thermogram analysis in Sahiwal cows;Research in Veterinary Science;2024-01

4. Infrared thermography: Variability and correlations of measured temperatures in cows;Zbornik radova 26. medunarodni kongres Mediteranske federacije za zdravlje i produkciju preživara - FeMeSPRum - zbornik radova;2024

5. Association between foot skin temperature (FST) and locomotion scoring (LS) in dairy cattle;Scientific Papers Journal VETERINARY SERIES;2023-12-15

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