ArticleTranslational animal science2019
Use of thermal imaging in dairy calves: exploring the repeatability and accuracy of measures taken from different anatomical regions.
Article in Translational animal science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- A Systematic Review of Automatic Health Monitoring in Calves: Glimpsing the Future From Current Practice.Frontiers in veterinary science · 2021Pooled it
- Reliability and precision of thermal imaging measurements to study animal behaviour and welfare.PeerJ · 2026Article
- Thermal imaging demonstrates physiological responses to grooming interactions and audience effects in wild baboons.Royal Society open science · 2025Article
- Association between a pyroelectric infrared sensor monitoring system and a 3-dimensional accelerometer to assess movement in preweaning dairy calves.JDS communications · 2024Article
- Literature Review on Technological Applications to Monitor and Evaluate Calves' Health and Welfare.Animals : an open access journal from MDPI · 2023Review
- Evaluation of an infrared thermography camera for measuring body temperature in dairy calves.JDS communications · 2022Article
- Comparison of Low- and High-Cost Infrared Thermal Imaging Devices for the Detection of Lameness in Dairy Cattle.Veterinary sciences · 2022Article
- Thermography for disease detection in livestock: A scoping review.Frontiers in veterinary science · 2022Article
- Clinical Applications and Factors Involved in Validating Thermal Windows Used in Infrared Thermography in Cattle and River Buffalo to Assess Health and Productivity.Animals : an open access journal from MDPI · 2021Review
- ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1.Journal of animal science · 2021Article
- Towards sensor-based calving detection in the rangelands: a systematic review of credible behavioral and physiological indicators.Translational animal science · 2020Article
- Image Analysis and Computer Vision Applications in Animal Sciences: An Overview.Frontiers in veterinary science · 2020Review
- Pasture access and eye temperature in dairy cows.Journal of applied animal welfare science : JAAWSArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three experiments were undertaken to 1) quantify the repeatability and reproducibility of thermal imaging across day and operator experience and 2) assess the correlation between descriptive infrared (IR) temperature parameters from different anatomical areas and core body temperature in dairy calves under 12 wk of age. In experiment 1, a single operator captured 30 replicate images of both the left and right eyes (defined as the whole eye + 1 cm margin) and the rectal area (defined as the anus +1.5 cm margin) from each of 16 calves. In experiment 2, three operators of varying experience captured images from both the left and right eyes and the rectal area of each of 12 calves. In experiment 3, a single operator captured images of the right eye and rectal area for a period of 5 consecutive days for each of 205 calves. All images were captured between 0900 and 1300 h. Core body temperature, obtained via rectal thermometer, was recorded every day for each of the 205 calves following completion of IR image capture. Ambient temperature and relative humidity were adjusted for each thermal image prior to manual extraction of maximum, minimum, and average temperature parameters. In experiment 1, lowest error variance was found within the maximum temperature parameter and the right eye was determined as the most repeatable anatomical area, with 80.48% of the total proportion of variance attributed to the calf. Results indicated that capturing at least three replicate images would provide the precision required to identify ill-health in calves. In experiment 2, operator variance was low across anatomical areas, with values of ≤0.01°C
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