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Communication

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

1
Department of Engineering for Livestock Management, Leibniz Institute for Agricultural Engineering and Bioeconomy e.V. (ATB), Max-Eyth-Allee 100, 14469 Potsdam, Germany
2
Hochschule Neubrandenburg, Department of Agricultural Machinery, University of Applied Science, Brodaer Straße 2, 17033 Neubrandenburg, Germany
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(11), 3925; https://doi.org/10.3390/s18113925
Received: 6 July 2018 / Revised: 1 November 2018 / Accepted: 8 November 2018 / Published: 14 November 2018
(This article belongs to the Section Physical Sensors)
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. View Full-Text
Keywords: sensor; dielectric constant; water content; dairy cow; teat end hyperkeratosis sensor; dielectric constant; water content; dairy cow; teat end hyperkeratosis
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MDPI and ACS Style

Demba, S.; Hoffmann, G.; Ammon, C.; Rose-Meierhöfer, S. Sensor-Based Detection of the Severity of Hyperkeratosis in the Teats of Dairy Cows. Sensors 2018, 18, 3925. https://doi.org/10.3390/s18113925

AMA Style

Demba S, Hoffmann G, Ammon C, Rose-Meierhöfer S. Sensor-Based Detection of the Severity of Hyperkeratosis in the Teats of Dairy Cows. Sensors. 2018; 18(11):3925. https://doi.org/10.3390/s18113925

Chicago/Turabian Style

Demba, Susanne, Gundula Hoffmann, Christian Ammon, and Sandra Rose-Meierhöfer. 2018. "Sensor-Based Detection of the Severity of Hyperkeratosis in the Teats of Dairy Cows" Sensors 18, no. 11: 3925. https://doi.org/10.3390/s18113925

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