• Jul 12, 2018 News!The submission for 2019 8th International Conference on Information and Electronics Engineering (ICIEE 2019) is officially open now !   [Click]
  • Dec 11, 2018 News!IJIEE Vol. 8, No. 4 issue has been published online!   [Click]
  • Aug 31, 2018 News!IJIEE Vol. 8, No. 3 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3719
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2015 Vol.5(4): 250-253 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2015.V5.539

Estrus Detection for Dairy Cow Using ZigBee-Based Sensor Networks

Chien-Hsing Chen and Hung-Ru Lin
Abstract— The reproductive performance of dairy cows is influenced primarily by estrus-detection accuracy. Effective estrus-detection systems are beneficial to increasing pregnancy rates, improving the reproductive performance of dairy cows. The most obvious external symptom of estrus in dairy cows is standing-heat behavior. The standing cows remain briefly motionless for several seconds when repeatedly mounted by mounting cow. Therefore, in this study, wireless sensor networks were used to develop a standing-heat signal detection and management system for dairy cows. This system detects the movement signals of mounting behavior by using a 3-axial accelerometer within a wireless sensor installed on the forefeet of cows. When signal of accelerometer exceed a threshold value, the ZigBee begins broadcasting signals to the surrounding sensor nodes. The received signal strength indicator (RSSI) between the broadcasting node and every sensor node is recorded. The ZigBee serial number and the RSSI for sensor nodes are then sent to a terminal database system, which compares the RSSIs in the batch to determine the serial number with the strongest RSSI, achieving the goal of estrus detection. In addition, the results of estrus detection also can be inquired by a smartphone-base system.

Index Terms— Estrus detection, received signal strength indicator, standing heat, wireless sensor networks, ZigBee.

The authors are with the Information Technology Department, Meiho University, Taiwan (e-mail: jameschen@meiho.edu.tw, cowharvest@gmail.com).


Cite: Chien-Hsing Chen and Hung-Ru Lin, " Estrus Detection for Dairy Cow Using ZigBee-Based Sensor Networks," International Journal of Information and Electronics Engineering vol. 5, no. 4, pp. 250-253, 2015.

Copyright © 2008-2018. International Journal of Information and Electronics Engineering. All rights reserved.
E-mail: ijiee@ejournal.net