Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 759019, 9 pages
http://dx.doi.org/10.1155/2014/759019
Research Article

Design of Information System for Milking Dairy Cattle and Detection of Mastitis

1Department of Electronic Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung 824, Taiwan
2Department of Information Technology, Meiho University, Pingtung 912, Taiwan

Received 26 June 2014; Accepted 15 August 2014; Published 31 August 2014

Academic Editor: Teen-Hang Meen

Copyright © 2014 Ming-Chih Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. E. Norberg, “Electrical conductivity of milk as a phenotypic and genetic indicator of bovine mastitis: a review,” Livestock Production Science, vol. 96, no. 2-3, pp. 129–139, 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. J. A. Baro, M. A. Pérez, and G. J. Grillo, “Method comparison for diagnose of subclinical mastitis and milk quality determination in raw milk,” in Proceeding of the Proceedings of the IEEE Instrumentation and Measurement Technology Conference (IMTC ’05), pp. 240–243, Ottawa, Canada, May 2005. View at Scopus
  3. D. Cavero, K. H. Tölle, G. Rave, C. Buxadé, and J. Krieter, “Analysing serial data for mastitis detection by means of local regression,” Livestock Science, vol. 110, no. 1-2, pp. 101–110, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. E. J. Diepersloot, “The use of technology for improved cow health to increase production and reproduction,” in Proceedings of the 47th Florida Dairy Production Conference, pp. 30–34, 2011.
  5. C. S. Petersson-Wolfe, A. R. Tholen, J. Currin, and K. E. Leslie, “Practical methods for mastitis control,” WCDS Advances in Dairy Technology, vol. 25, pp. 341–358, 2013. View at Google Scholar
  6. A. Trevarthen and K. Michael, “Beyond mere compliance of RFID regulations by the farming community: a case study of the cochrane dairy farm,” in Proceedings of the 6th International Conference on the Management of Mobile Business (ICMB ’07), pp. 1–8, Toronto, Canada, July 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. R. Li, J. Wu, H. Wang, and G. Li, “Design method of CAN BUS network communication structure for electric vehicle,” in Proceedings of the International Forum on Strategic Technology (IFOST '10), pp. 326–329, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. X. Li and M. Li, “An embedded CAN-BUS communication module for measurement and control system,” in Proceedings of the International Conference on E-Product E-Service and E-Entertainment (ICEEE '10), November 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. K. H. Kwong, T. T. Wu, H. G. Goh et al., “Implementation of herd management systems with wireless sensor networks,” IET Wireless Sensor Systems, vol. 1, no. 2, pp. 55–65, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Grogan, “Smart farming,” Engineering and Technology, vol. 7, no. 6, pp. 38–40, 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. S. Ganguly, “Mastitis, an economically significant bacterial disease of dairy cattle having Immense public health importance: a comprehensive & exclusive review,” International Journal of Pure & Applied Bioscience, vol. 2, no. 1, pp. 82–85, 2014. View at Google Scholar
  12. K. L. Parker Gaddis, J. B. Cole, J. S. Clay, and C. Maltecca, “Genomic selection for producer-recorded health event data in US dairy cattle,” Journal of Dairy Science, vol. 97, no. 5, pp. 3190–3199, 2014. View at Google Scholar