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

Yevgeny Beiderman, Mark Kunin, Eli Kolberg, Ilan Halachmi, Binyamin Abramov, Rafael Amsalem, Zeev Zalevsky

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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.

Original languageEnglish
Pages (from-to)153-160
Number of pages8
JournalJournal of Agricultural Engineering
Volume45
Issue number4
DOIs
StatePublished - 1 Jan 2014
Externally publishedYes

Keywords

  • Cattle identification
  • Remote sensing
  • Search methods
  • Speckles

ASJC Scopus subject areas

  • Bioengineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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