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Updated: Sep 13, 2025

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开发基于机器学习的子模型,用于预测乳母奶牛的净蛋白质需求

Mingyung Lee1, Dong Hyeon Kim2, Seongwon Seo3

  • 1Department of Animal Science, Texas A&M University, College Station, TX 77843-2471, USA.

Animals : an open access journal from MDPI
|July 29, 2025
PubMed
概括

机器学习模型准确地预测了哺乳乳奶牛的蛋白质需求. 随机森林回归 (RFR) 性能优于支向量回归 (SVR),为估计营养需求提供了更简单的方法.

关键词:
哺乳期的荷尔斯泰因奶牛.哺乳期的净蛋白质,用于哺乳.净蛋白质用于维护.随机森林回归随机森林回归支持向量的回归.

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