Estimating Productivity of Dairy Cows by Inductive Logic Programming

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.