期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：12
页码：642-647
出版社：Science and Information Society (SAI)
摘要：Cattle productivity in Japan has been declining
though livestock farmers and breeders tried to use artificial
insemination regularly. The reason behind this declining productivity
is the poor evaluation of the applicability of artificial insemination.
To address this issue, this research proposes an objective
evaluation method to estimate the applicability of programmed
Artificial Insemination (pAI). The objective evaluation method
tries to estimate the applicability of pAI based on the analysis
of various indices from dairy and beef cattle using Bayesian
Network Model (BNM). The estimation of the pAI applicability
considers 14 and 17 physiological indices for diary and beef cattle
respectively. These indices include the basic information (days
after childbirth, parity, etc.), diagnosis of appearance, diagnosis
of genital organ and the veterinarians’ judgments. The overall
success rate in estimating the applicability is 89.8% for 1051
records of dairy cattle and 95.6% for 1128 records of beef cattle.
The proposed method avoids the subjective error in estimating
the applicability of pAI. In addition, the experiment revealed that
the applicability of pAI can be evaluated even though the number
of measure indices is few.
关键词：Bayesian network; programmed artificial insemination;
cattle production
