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A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications
The computer vision technique has been rapidly adopted in cow lameness detection research due to its noncontact characteristic and moderate price. This paper attempted to summarize the research progress of computer vision in the detection of lameness. Computer vision lameness detection systems are n...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866151/ https://www.ncbi.nlm.nih.gov/pubmed/33499381 http://dx.doi.org/10.3390/s21030753 |
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author | Kang, Xi Zhang, Xu Dong Liu, Gang |
author_facet | Kang, Xi Zhang, Xu Dong Liu, Gang |
author_sort | Kang, Xi |
collection | PubMed |
description | The computer vision technique has been rapidly adopted in cow lameness detection research due to its noncontact characteristic and moderate price. This paper attempted to summarize the research progress of computer vision in the detection of lameness. Computer vision lameness detection systems are not popular on farms, and the accuracy and applicability still need to be improved. This paper discusses the problems and development prospects of this technique from three aspects: detection methods, verification methods and application implementation. The paper aims to provide the reader with a summary of the literature and the latest advances in the field of computer vision detection of lameness in dairy cows. |
format | Online Article Text |
id | pubmed-7866151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78661512021-02-07 A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications Kang, Xi Zhang, Xu Dong Liu, Gang Sensors (Basel) Review The computer vision technique has been rapidly adopted in cow lameness detection research due to its noncontact characteristic and moderate price. This paper attempted to summarize the research progress of computer vision in the detection of lameness. Computer vision lameness detection systems are not popular on farms, and the accuracy and applicability still need to be improved. This paper discusses the problems and development prospects of this technique from three aspects: detection methods, verification methods and application implementation. The paper aims to provide the reader with a summary of the literature and the latest advances in the field of computer vision detection of lameness in dairy cows. MDPI 2021-01-22 /pmc/articles/PMC7866151/ /pubmed/33499381 http://dx.doi.org/10.3390/s21030753 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Kang, Xi Zhang, Xu Dong Liu, Gang A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications |
title | A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications |
title_full | A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications |
title_fullStr | A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications |
title_full_unstemmed | A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications |
title_short | A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications |
title_sort | review: development of computer vision-based lameness detection for dairy cows and discussion of the practical applications |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866151/ https://www.ncbi.nlm.nih.gov/pubmed/33499381 http://dx.doi.org/10.3390/s21030753 |
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