Dairy cow monitoring by RFID

Authors

  • Stevan Stankovski University of Novi Sad; Faculty of Technical Sciences
  • Gordana Ostojic University of Novi Sad; Faculty of Technical Sciences
  • Ivana Senk University of Novi Sad; Faculty of Technical Sciences
  • Marija Rakic-Skokovic University of Novi Sad; Faculty of Technical Sciences
  • Snezana Trivunovic University of Novi Sad; Faculty of Agriculture
  • Denis Kucevic University of Novi Sad; Faculty of Agriculture

DOI:

https://doi.org/10.1590/S0103-90162012000100011

Keywords:

identification technology, automatic scanning, cattle farm, milk yield

Abstract

Dairy cows identification and monitoring on small cattle farms are usually based on the utilization of barcode technology. This kind of identification technology is unsuitable for dairy cows milking and feeding process automation. Radio Frequency Identification (RFID) technology is a better solution in this case. This paper describes the research and implementation of the milking cycle´s automated monitoring with the use of RFID tags conducted on a small cattle farm in the Republic of Serbia. This solution is based on RFID system which consists of two parts. First part includes control box, two Ultra High Frequency (UHF) RFID readers operating at frequency of 915 MHz and RFID tags glued onto the dairy cow ear labels. Second part includes software modules for acquisition and collecting data from RFID tags to build up an archive due to supervision and analysis of the milking cycle. Reading accuracy of RFID system in the observed period was 99.8 % in average. A group of dairy cows having a settled milking cycle within an interval of 12h ± 5 % had a 1.5 % better yield and a 0.08 better quality in comparison with a group of dairy cows having a milking cycle variance higher than 20 %. RFID system implemented in described way can be easily integrated into a new or existing farm management system in order to have better production results which depend on several factors including settled milking cycles.

Downloads

Download data is not yet available.

Downloads

Published

2012-02-01

Issue

Section

Note

How to Cite