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View all- Nishiyama HOhwada H(2018)Parallel Inductive Logic Programming System for Superlinear SpeedupInductive Logic Programming10.1007/978-3-319-78090-0_8(112-123)Online publication date: 15-Mar-2018
Extracting Rules for Successful Conditions for Artificial Insemination in Dairy Cattle Using Inductive Logic Programming
Pages 6 - 10
Abstract
This paper describes a method of pattern extraction to identify successful conditions for artificial insemination in dairy cattle using inductive logic programming. The fertility of lactating dairy cows is economically important but the mean reproductive performance of Holstein cows has declined during the past three decades. The Milk production increases after birth and gradually decreases after several weeks, but it increases again upon the next birth. Increasing the probability of successful artificial insemination is thus economically important. However the success rate of artificial insemination is 20 to 30 %. The amount of progesterone is closely related to the estrus cycle, and can be measured from raw milk. In this study, we extracted variation pattern from time-series data related to dairy cattle including the amount of progesterone using ILP. The success pattern or failure patterns for artificial insemination extracted by the ILP system can be used for decision making on artificial insemination.
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February 2017
545 pages
ISBN:9781450348171
DOI:10.1145/3055635
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- Southwest Jiaotong University
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Association for Computing Machinery
New York, NY, United States
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Published: 24 February 2017
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ICMLC 2017
ICMLC 2017: 2017 the 9th International Conference on Machine Learning and Computing
February 24 - 26, 2017
Singapore, Singapore
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View all- Nishiyama HOhwada H(2018)Parallel Inductive Logic Programming System for Superlinear SpeedupInductive Logic Programming10.1007/978-3-319-78090-0_8(112-123)Online publication date: 15-Mar-2018
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