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基于计算机视觉的奶牛跛行检测技术的发展综述及实际应用探讨

A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications.

机构信息

Key Lab of Modern Precision Agriculture System Integration Research, Ministry of Education of China, China Agricultural University, Beijing 100083, China.

Key Lab of Agricultural Information Acquisition Technology, Ministry of Agricultural of China, China Agricultural University, Beijing 100083, China.

出版信息

Sensors (Basel). 2021 Jan 22;21(3):753. doi: 10.3390/s21030753.

Abstract

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.

摘要

计算机视觉技术由于其非接触式的特点和适中的价格,在奶牛跛行检测研究中得到了迅速的采用。本文试图总结计算机视觉在跛行检测方面的研究进展。计算机视觉跛行检测系统在农场并不流行,其准确性和适用性仍有待提高。本文从检测方法、验证方法和应用实施三个方面讨论了该技术的问题和发展前景。本文旨在为读者提供计算机视觉奶牛跛行检测领域文献综述和最新进展的概述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8cc/7866151/37acccdca637/sensors-21-00753-g001.jpg

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