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Development of a Parturition Detection System for Korean Native Black Goatsopen access

Authors
Kim, HeungsuKim, HyunseKim, Woo H.Min, WongiKim, GeonwooChang, Honghee
Issue Date
Feb-2024
Publisher
MDPI
Keywords
goat kid; management; accelerometer; lying behavior; labor pain
Citation
ANIMALS, v.14, no.4
Indexed
SCIE
SCOPUS
Journal Title
ANIMALS
Volume
14
Number
4
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/69848
DOI
10.3390/ani14040634
ISSN
2076-2615
2076-2615
Abstract
Simple Summary Many studies on parturition detection have been conducted on large ruminants, but only a few have been conducted on small ruminants. The parturition detection system for Korean native black goats developed in this study may detect labor pains in goats and assist in the timely initiation of kid nursing to reduce stunted growth and mortality. However, applying this system to other Korean Native Black Goats or other breeds of goats will require further research due to different breed characteristics and specification conditions.Abstract Korean Native Black Goats deliver mainly during the cold season. However, in winter, there is a high risk of stunted growth and mortality for their newborns. Therefore, we conducted this study to develop a KNBG parturition detection system that detects and provides managers with early notification of the signs of parturition. The KNBG parturition detection system consists of triaxial accelerometers, gateways, a server, and parturition detection alarm terminals. Then, two different data, the labor and non-labor data, were acquired and a Decision Tree algorithm was used to classify them. After classifying the labor and non-labor states, the sum of the labor status data was multiplied by the activity count value to enhance the classification accuracy. Finally, the Labor Pain Index (LPI) was derived. Based on the LPI, the optimal processing time window was determined to be 10 min, and the threshold value for labor classification was determined to be 14 240.92. The parturition detection rate was 82.4%, with 14 out of 17 parturitions successfully detected, and the average parturition detection time was 90.6 min before the actual parturition time of the first kid. The KNBG parturition detection system is expected to reduce the risk of stunted growth and mortality due to hypothermia in KNBG kids by detecting parturition 90.6 min before the parturition of the first kid, with a success rate of 82.4%, enabling parturition nursing.
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농업생명과학대학 > 생물산업기계공학과 > Journal Articles
수의과대학 > Department of Veterinary Medicine > Journal Articles
농업생명과학대학 > 축산과학부 > Journal Articles

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