Automatic solution for detection, identification and biomedical monitoring of a cow using remote sensing for optimised treatment of cattle

  • Yevgeny Beiderman Institute of Agricultural Engineering, Agricultural Research Organisation (ARO), the Volcani Center, Bet-Dagan, Israel.
  • Mark Kunin Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel.
  • Eli Kolberg | eli.kolberg@biu.ac.il Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel.
  • Ilan Halachmi Institute of Agricultural Engineering, Agricultural Research Organisation (ARO), the Volcani Center, Bet-Dagan, Israel.
  • Binyamin Abramov Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel.
  • Rafael Amsalem Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel.
  • Zeev Zalevsky Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel.

Abstract

In this paper we show how a novel photonic remote sensing system assembled on a robotic platform can extract vital biomedical parameters from cattle including their heart beating, breathing and chewing activity. The sensor is based upon a camera and a laser using selfinterference phenomena. The whole system intends to provide an automatic solution for detection, identification and biomedical monitoring of a cow. The detection algorithm is based upon image processing involving probability map construction. The identification algorithms involve well known image pattern recognition techniques. The sensor is used on top of an automated robotic platform in order to support animal decision making. Field tests and computer simulated results are presented.

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Published
2014-12-21
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Original Articles
Keywords:
speckles, remote sensing, cattle identification, search methods.
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How to Cite
Beiderman, Y., Kunin, M., Kolberg, E., Halachmi, I., Abramov, B., Amsalem, R., & Zalevsky, Z. (2014). Automatic solution for detection, identification and biomedical monitoring of a cow using remote sensing for optimised treatment of cattle. Journal of Agricultural Engineering, 45(4), 153-160. https://doi.org/10.4081/jae.2014.418