Sasaki, Shun, Hatano, Ryo, Ohwada, Hayato et al. (1 more author) (2019) Estimating Productivity of Dairy Cows by Inductive Logic Programming. In: The 29th ILP conference, 03-05 Sep 2019, Plovdiv, Bulgaria.
Abstract
In this study, we attempt deriving rules to estimate the productivity of dairy cows using inductive logic programming (ILP) for dairy farming. The milk yield of dairy cows is economically important and, of course, should be large. Accordingly, we selected data using the total milk yield in a lifetime as a threshold, and our ILP algorithm learned about positive and negative cases. As a result, 42 rules in positive, and 11 rules in negative were derived. ILP is also applicable for dairy farming and can provide useful information for farmers.
Metadata
Item Type: | Conference or Workshop Item |
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Authors/Creators: |
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Keywords: | Inductive Logic Programming, Prediction, Dairy Cow, Productivity. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Repository Administrator York |
Date Deposited: | 25 Feb 2020 16:59 |
Last Modified: | 25 Feb 2020 16:59 |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157686 |