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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Autores principales: Pavel Kříž, Michaela Horčičková, Roman Bumbálek, Petr Bartoš, Luboš Smutný, Radim Stehlík, Tomáš Zoubek, Pavel Černý, Vladimír Vochozka, Radim Kuneš
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic 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
spellingShingle 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
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