Extraction of Patterns to Support Dairy Culling Management: 15th International Conference, MDAI 2018, Mallorca, Spain, October 15–18, 2018, Proceedings

M. López-Suárez*, E. Armengol, S. Calsamiglia, L. Castillejos

*Corresponding author for this work

Research output: Chapter in BookChapterResearchpeer-review

Abstract

The management of a dairy farm involves taking decisions such as culling a subset of cows to improve the dairy production. Culling is the departure of cows from the herd due to sale, slaughter or death. Commonly the culling process is based on the farmer experience but there is not a general procedure to carry it out. In the present paper we use both, a method based on indistinguishability relations and the anti-unification concept, to extract patterns that characterise the cows according to their average milk production of the first lactation. Our goal is to identify as soon as possible poorly productive cows during her first lactation, which may be candidates to be culled.

Original languageUndefined/Unknown
Title of host publicationModeling Decisions for Artificial Intelligence - 15th International Conference, MDAI 2018, Proceedings
EditorsVicenc Torra, Vicenc Torra, Yasuo Narukawa, Manuel González-Hidalgo, Isabel Aguilo
Pages131-142
Number of pages12
DOIs
Publication statusPublished - 15 Oct 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11144 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Anti-unification concept
  • Artificial intelligence
  • Dairy farms
  • Indistinguishability relations
  • Machine learning
  • Milk production
  • Veterinary
  • Voluntary culling

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