Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at herd-level using mid-infrared spectral information from routine milk control-Reference-Cited by-同舟云学术

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Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at herd-level using mid-infrared spectral information from routine milk control

Published:2024-08 Issue: Volume: Page:
ISSN:0022-0302
Container-title:Journal of Dairy Science
language:en
Short-container-title:Journal of Dairy Science

Author:

Birkinshaw A.^ORCID,Sutter M.^ORCID,Nussbaum M.,Kreuzer M.^ORCID,Reidy B.^ORCID

Funder

Innosuisse Swiss Innovation Agency

Publisher

American Dairy Science Association

Reference53 articles.

1. Agroscope. 2016. Swiss Feed Database, access: www.feedbase.ch. Accessed April 23, 2024. https://www.agroscope.admin.ch/agroscope/en/home/services/support-services/feedstuffs/swiss-feed-database.html

2. The grass-fed milk story: Understanding the impact of pasture feeding on the composition and quality of bovine milk;Alothman;Foods,2019

3. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling;Amatulli;Sci. Data,2018

4. A random forest guided tour;Biau;Test,2016

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