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Updated: Sep 11, 2025

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评估行为,挤奶系统和环境数据对商业奶牛短期牛奶产量预测的贡献,使用机器学习

J Hooker1, B B de Medeiros1, C Saha1

  • 1University of Georgia, Athens, GA.

Journal of dairy science
|August 16, 2025
PubMed
概括

将自动化挤奶系统 (AMS) 和反项圈 (SCR) 的传感器数据与天气数据的整合显著改善了牛奶产量预测,特别是在没有历史数据的情况下. 这提高了精确的乳业管理和预测准确度.

关键词:
自动挤奶系统自动挤奶系统数据整合数据集成.机器学习是机器学习.牛奶产量预测 牛奶产量预测

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