Login / Signup

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

Susanne DembaGundula HoffmannChristian AmmonSandra Rose-Meierhöfer
Published in: Sensors (Basel, Switzerland) (2018)
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.
Keyphrases
  • dairy cows
  • dendritic cells
  • high glucose
  • risk assessment
  • magnetic resonance imaging
  • magnetic resonance
  • label free