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http://dx.doi.org/10.5762/KAIS.2015.16.9.6236

Implementation of unmanned cow estrus detection system for improving impregnation rate  

Kim, Suc-June (Innobis)
Jee, Sun-Ho (School of Electrical, Electronics and Communication Engineering, KOREATECH)
Cho, Hyun-Chan (School of Electrical, Electronics and Communication Engineering, KOREATECH)
Kim, Chun-Su (Innobis)
Kim, Hyeon-Shup (National Institute of Animal Science, Rural Development Administration)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.16, no.9, 2015 , pp. 6236-6246 More about this Journal
Abstract
In the paper, we reduce non-pregnant conditions and improve impregnation rate by unmanned estrus detection and decide proper time for artificial insemination. It is too hard to detect estrus only by using activities, we develop unmanned estrus detection system that consist of RF activity sensors, cow management program and estrus detection algorithm that uses information of activities and breeding. We verify performance by experiments in four similar scale stockbreeding farmhouse. Each stockbreeding farmhouse breeds 87, 81, 93, 82 cows and expected estrus cows are 14, 19, 15, 17. In expected estrus cow, we fail in weak estrus detection - 3, 2, 1, 3 cows, but detect successfully normal estrus - 11, 17, 14, 14 cows. After artificial insemination, 10, 17, 13, 14 cows became pregnant successfully confirming that proposed unmanned estrus detection system is effective for deciding proper time for artificial insemination in normal estrus.
Keywords
artificial insemination; cow management; estrus detection; impregnation; stockbreeding farmhouse;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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