Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review
Infrared thermography (IRT) is a noninvasive and safe method of displaying the temperature map of objects that can be used to detect hoof diseases and lameness to reduce significant financial costs and physically stress animals. A qualitative bibliometric method based on the analysis of publications...
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oai:doaj.org-article:abf06998998441218124534757c3f5ef2021-11-25T16:43:24ZApplication of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review10.3390/app1122110452076-3417https://doaj.org/article/abf06998998441218124534757c3f5ef2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/11045https://doaj.org/toc/2076-3417Infrared thermography (IRT) is a noninvasive and safe method of displaying the temperature map of objects that can be used to detect hoof diseases and lameness to reduce significant financial costs and physically stress animals. A qualitative bibliometric method based on the analysis of publications by the authors themselves using sophisticated tools of scientific databases was applied in this work. This review presents the fundamentals of IRT as well as recent developments in IRT detection in dairy science, including preprocessing, segmentation, and classification of objects in IRT images. In addition, recent studies dealing with the detection of hoof diseases and lameness using IRT are reviewed. As a result of this study, select previous studies are confronted in terms of technical aspects of IRT measurements such as emissivity, distance, temperature range, and reflected air temperature. Subsequently, recommendations for future IRT measurements are discussed.Pavel KřížMichaela HorčičkováRoman BumbálekPetr BartošLuboš SmutnýRadim StehlíkTomáš ZoubekPavel ČernýVladimír VochozkaRadim KunešMDPI AGarticleinfrared thermographyoptimizationdairy cowshoof diseaseslamenessTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 11045, p 11045 (2021) |
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infrared thermography optimization dairy cows hoof diseases lameness Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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infrared thermography optimization dairy cows hoof diseases lameness Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Pavel Kříž Michaela Horčičková Roman Bumbálek Petr Bartoš Luboš Smutný Radim Stehlík Tomáš Zoubek Pavel Černý Vladimír Vochozka Radim Kuneš Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review |
description |
Infrared thermography (IRT) is a noninvasive and safe method of displaying the temperature map of objects that can be used to detect hoof diseases and lameness to reduce significant financial costs and physically stress animals. A qualitative bibliometric method based on the analysis of publications by the authors themselves using sophisticated tools of scientific databases was applied in this work. This review presents the fundamentals of IRT as well as recent developments in IRT detection in dairy science, including preprocessing, segmentation, and classification of objects in IRT images. In addition, recent studies dealing with the detection of hoof diseases and lameness using IRT are reviewed. As a result of this study, select previous studies are confronted in terms of technical aspects of IRT measurements such as emissivity, distance, temperature range, and reflected air temperature. Subsequently, recommendations for future IRT measurements are discussed. |
format |
article |
author |
Pavel Kříž Michaela Horčičková Roman Bumbálek Petr Bartoš Luboš Smutný Radim Stehlík Tomáš Zoubek Pavel Černý Vladimír Vochozka Radim Kuneš |
author_facet |
Pavel Kříž Michaela Horčičková Roman Bumbálek Petr Bartoš Luboš Smutný Radim Stehlík Tomáš Zoubek Pavel Černý Vladimír Vochozka Radim Kuneš |
author_sort |
Pavel Kříž |
title |
Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review |
title_short |
Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review |
title_full |
Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review |
title_fullStr |
Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review |
title_full_unstemmed |
Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review |
title_sort |
application of the machine vision technology and infrared thermography to the detection of hoof diseases in dairy cows: a review |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/abf06998998441218124534757c3f5ef |
work_keys_str_mv |
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