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乳制品行业的数据整合和分析:挑战和前进的途径
Victor E Cabrera1, Jeffrey Bewley2, Mitch Breunig3
1Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA.
Animals : an open access journal from MDPI
|February 13, 2025
概括
乳制品数据集成面临着标准化问题和数据共享不情愿等障碍. 通过指导方针和技术克服这些挑战是可持续性和利能力的关键.
科学领域:
- 农业科学 农业科学
- 数据科学数据科学数据科学
- 信息系统信息系统信息系统
背景情况:
- 乳制品行业数据集成对于决策,优化和可持续性至关重要.
- 当前的数据集成面临着重大挑战,包括缺乏标准化和基础设施障碍.
研究的目的:
- 探索乳制品数据整合和分析的挑战.
- 确定改善乳制品行业数据系统的前进途径.
主要方法:
- 多学科的利益相关者见解 (行业专家,研究人员,从业人员).
- 讨论主要挑战:缺乏国家动物识别,IT成本,不愿意共享数据,全球实践差异.
主要成果:
- 确定了数据集成的障碍:标准化,基础设施,专有权问题和成本.
- 强调需要改进数据交换标准和互操作性.
结论:
- 制定数据整合指南和农民培训是必不可少的.
- 利用人工智能和云计算可以提高乳制品供应链的可持续性,可追溯性和利能力.
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