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Published in:
Graded Logic Aggregation Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Extraction of Patterns to Support Dairy Culling Management

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

Published in: Modeling Decisions for Artificial Intelligence

Publisher: Springer International Publishing

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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.

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previous chapter Learning Fuzzy Measures for Aggregation in Fuzzy Rule-Based Models
next chapter An Axiomatisation of the Banzhaf Value and Interaction Index for Multichoice Games
Footnotes
1
The Confederación Nacional de la Raza Frisona (CONAFE) is a Spanish entity whose goal is to develop programs oriented to the improvement and selection of the Holstein-Frisian herd.
 
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Metadata
Title
Extraction of Patterns to Support Dairy Culling Management
Authors
M. López-Suárez
E. Armengol
S. Calsamiglia
L. Castillejos
Copyright Year
2018
Book
Modeling Decisions for Artificial Intelligence

Print ISBN: 978-3-030-00201-5

Electronic ISBN: 978-3-030-00202-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00202-2_11

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