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基于传感器的奶牛乳头过度角化严重程度检测。

Sensor-Based Detection of the Severity of Hyperkeratosis in the Teats of Dairy Cows.

机构信息

Department of Engineering for Livestock Management, Leibniz Institute for Agricultural Engineering and Bioeconomy e.V. (ATB), Max-Eyth-Allee 100, 14469 Potsdam, Germany.

Hochschule Neubrandenburg, Department of Agricultural Machinery, University of Applied Science, Brodaer Straße 2, 17033 Neubrandenburg, Germany.

出版信息

Sensors (Basel). 2018 Nov 14;18(11):3925. doi: 10.3390/s18113925.

DOI:10.3390/s18113925
PMID:30441773
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6263564/
Abstract

The aim of this study was to evaluate whether the severity of hyperkeratosis (HK) in the teats of dairy cows can be assessed by a dielectric measurement. The study focused on surveying the occurrence of hyperkeratosis in a total of 241 teats of lactating dairy cows. A scoring system consisting of four categories was used to macroscopically assess the severity of HK. Additionally, the dielectric constant (DC) of all teats with milkability was measured in a double iteration with the MoistureMeterD (Delfin Technologies, Kuopio, Finland) on four different days. The Spearman rank correlation coefficient revealed a negative correlation between the DC and HK score (rs = -0.55 to -0.36). The results of the regression analysis showed that the DC values differed significantly between healthy teat ends (≤2) and teat ends with HK (≥3). Thus, the non-invasive measurement of DC provides a promising method of objectively assessing the occurrence and severity of HK.

摘要

本研究旨在评估奶牛乳头过度角化(HK)的严重程度是否可以通过介电测量来评估。该研究集中调查了 241 头泌乳奶牛的乳头过度角化的发生情况。使用由四个类别组成的评分系统对 HK 的严重程度进行宏观评估。此外,使用 MoistureMeterD(芬兰 Delfin Technologies)在四天内进行了两次迭代,对所有可挤奶的乳头的介电常数(DC)进行了测量。Spearman 秩相关系数显示 DC 与 HK 评分之间存在负相关(rs=-0.55 至-0.36)。回归分析的结果表明,健康乳头末端(≤2)和 HK 乳头末端(≥3)之间的 DC 值存在显著差异。因此,DC 的非侵入性测量为客观评估 HK 的发生和严重程度提供了一种有前途的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b4/6263564/0984cfe98602/sensors-18-03925-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b4/6263564/aea99caa9d5d/sensors-18-03925-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b4/6263564/8ad085e94e8e/sensors-18-03925-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b4/6263564/4eba0c2e0ebe/sensors-18-03925-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b4/6263564/0984cfe98602/sensors-18-03925-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b4/6263564/aea99caa9d5d/sensors-18-03925-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b4/6263564/8ad085e94e8e/sensors-18-03925-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b4/6263564/4eba0c2e0ebe/sensors-18-03925-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b4/6263564/0984cfe98602/sensors-18-03925-g004.jpg

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