DEVELOPMENT and VALIDATION of AN AUTONOMOUS RADIO-FREQUENCY IDENTIFICATION CONTROLLED SOAKING SYSTEM for DAIRY CATTLE

Gustavo Mazon, Patrick D. Montgomery, Morgan Hayes, Joshua J. Jackson, Joao H.C. Costa

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study aim was to develop and validate a radio-frequency identification (RFID) controlled cattle soaking system for use in dairy cattle. The autonomous system was composed of a Raspberry Pi microcontroller, an ultra-high frequency (UHF) RFID system, a temperature-humidity sensor, and a water soaker. The system was developed and programmed to identify and tailor heat stress abatement to dairy cattle. The validation of the system was divided into static and dynamic phases. During the static phase, five UHF-RFID tags were statically placed 5 times in 11 points of interest on a ranging from 0 to 150 cm of the antenna. During the dynamic phase, 10 tags were moved 10 times each from 150 cm to the right (closer to the barn) to 150 cm to the left (further from the barn) of the center of the antenna mimicking a cow’s walking speed. During the static validation, the percentage of successful readings was moderate (MEAN±SD; 77.8±30.1%). We found that the distance from the antenna affected the percentage of successful readings (P<0.01), it was 100% up to 60 cm from the antenna and static readings were less successful from 120 cm left up to 90 cm to the right of the center of the antenna. During the dynamic validation, the percentage of successful readings was very high (96.0±7.0%). These results suggest that the autonomous soaker system seems to be able to detect cows in movement underneath the system. Future research should validate the system using live dairy cows.

Original languageEnglish
Pages (from-to)831-837
Number of pages7
JournalApplied Engineering in Agriculture
Volume37
Issue number5
DOIs
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2021 American Society of Agricultural and Biological Engineers

Keywords

  • Automation
  • Heat stress
  • RFID
  • Raspberry Pi

ASJC Scopus subject areas

  • General Engineering

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