Forecasting chronic mastitis using automatic milking system sensor data and gradient-boosting classifiers

Author:

Bonestroo John,Voort Mariska van der,Hogeveen Henk,Emanuelson Ulf,Klaas Ilka Christine,Fall Nils

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference28 articles.

1. Herd-level mastitis-associated costs on Canadian dairy farms;Aghamohammadi;Front. Vet. Sci.,2018

2. Comparison of methods for predicting cow composite somatic cell counts;Anglart;J. Dairy Sci.,2020

3. Bartel, A., E. Gass, F. Onken, C. Baumgartner, F. Querengässer, and M.G. Doherr. 2019. SCC predictions using generalized additive models: can they support mastitis management decisions? Page 24 in IDF mastitis Conference 2019, Copenhagen.

4. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

5. Progression of different udder inflammation indicators and their episode length after onset of inflammation using automatic milking system sensor data;Bonestroo;J. Dairy Sci.,2021

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