Early Recognition for Dairy Cow Lameness Based on Pressure Distribution Measurement System
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Lameness in dairy cow has been reported to be a critical economic factor and a vital animalwelfare issue for the dairy industry around the world. Lameness necessitates medical treatment reduces milk production, results in decreased body condition, impairs reproduction performance, and adversely impacts the social status of animals. Economically, lameness is reported to be the third most cost problem for dairy herds following mastitis and subfertility. So it would be the best way if the early symptoms of lameness could be recognized. Based on the Walkway (pressure measurement trail) which was produced by America Tekscan Company, the photoelectric sensor was used to trigger the electric circuit, which will also trigger the start and stop measuring system. After the obtainment of data, the analysis software was used to do disposal and analysis work, compute single or multiple gait parameters, as well as catch the data tables and curves. In the preliminary experiment, with the human being as the test objects, the result showed that the gait parameters which based on extraction and analysis of the surface pressure using the pressure distribution measurement system built by Walkway, could reflect the realtime motion state of the test subjects, and the extraction work would be faster, also with a higher degree of accuracy. That means the measurement system could be used to analyze the gait parameters, which also lays a theoretical foundation of recognition for the early stage lameness afterwards, making it possible to achieve unsupervised automatic gait detection in the future. 

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:July 20,2016
  • Revised:
  • Adopted:
  • Online: October 15,2016
  • Published: October 15,2016
Article QR Code