期刊论文详细信息
Applied Sciences
Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review
Radim Stehlík1  Luboš Smutný1  Radim Kuneš1  Roman Bumbálek1  Tomáš Zoubek1  Petr Bartoš2  Pavel Kříž2  Pavel Černý2  Vladimír Vochozka2  Michaela Horčičková3 
[1] Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia in Ceske Budejovice, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic;Department of Applied Physics and Technology, Faculty of Education, University of South Bohemia in Ceske Budejovice, Jeronymova 10, 371 15 Ceske Budejovice, Czech Republic;Department of Zootechnical Sciences, Faculty of Agriculture, University of South Bohemia in Ceske Budejovice, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic;
关键词: infrared thermography;    optimization;    dairy cows;    hoof diseases;    lameness;   
DOI  :  10.3390/app112211045
来源: DOAJ
【 摘 要 】

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.

【 授权许可】

Unknown   

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