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A machine learning approach using partitioning around medoids clustering and random forest classification to model groups of farms in regard to production parameters and bulk tank milk antibody status of two major internal parasites in dairy cows
Author(s) -
Andreas W. Oehm,
Andrea Springer,
Daniela Jordan,
Christina Strübe,
Gabriela KnubbenSchweizer,
Katharina Charlotte Jensen,
Yury Zablotski
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0271413
Subject(s) - bulk tank , ostertagia ostertagi , fasciola hepatica , context (archaeology) , cluster analysis , biology , hepatica , cluster (spacecraft) , herd , mathematics , statistics , computer science , zoology , ecology , immunology , paleontology , larva , helminths , programming language

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