Using Decision Trees to Extract Patterns for Dairy Culling Management

Abstract : The management of a dairy farm involves taking difficult technical and economic decisions such as the replacement of some cows to either maintain or increase the productivity of the farm. However, there is not a standard method supporting the selection procedure of which animals need to be culled. In the present study we used decision trees to develop a model able to classify a cow according to the average herd productivity. This model, obtained from a data base around 98000 cows, predicts the average milk production of the first lactation of a cow based on the monthly milk controls corresponding to the lactation peak. Our goal is to identify poor productive cows during her first lactation in order to make more accurate selections of which cows should be culled.
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Lazaros Iliadis; Ilias Maglogiannis; Vassilis Plagianakos. 14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-519, pp.231-239, 2018, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-92007-8_20〉
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M. Lopez-Suarez, E. Armengol, S. Calsamiglia, L. Castillejos. Using Decision Trees to Extract Patterns for Dairy Culling Management. Lazaros Iliadis; Ilias Maglogiannis; Vassilis Plagianakos. 14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-519, pp.231-239, 2018, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-92007-8_20〉. 〈hal-01821072〉

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