Real-time milk analysis integrated with stacking ensemble learning as a tool for the daily prediction of cheese-making traits in Holstein cattle

Real-time milk analysis integrated with stacking ensemble learning as a tool for the daily prediction of cheese-making traits in Holstein cattle

ABSTRACT: Cheese-making traits in dairy cattle are important to the dairy industry but are difficult to measure at the individual level because there are limitations on collecting phenotypic information. Mid-infrared spectroscopy has its advantages, but it can only be used during monthly milk record...

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Bibliographic Details
Main Authors: Lucio F.M. Mota, Diana Giannuzzi, Vittoria Bisutti, Sara Pegolo, Erminio Trevisi, Stefano Schiavon, Luigi Gallo, David Fineboym, Gil Katz, Alessio Cecchinato
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Journal of Dairy Science
Subjects:
AfiLab milk spectra
cheese-making prediction
ensemble learning
heterogeneous learners
prediction accuracy
Online Access:http://www.sciencedirect.com/science/article/pii/S0022030222001515

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http://www.sciencedirect.com/science/article/pii/S0022030222001515

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