乳制品行业数据生成和数据收集的标准化:应对挑战并绘制前进道路
Michel Baldin1, Jeffrey M Bewley2, Victor E Cabrera3
1Milc Group, San Luis Obispo, CA 93401, USA.
Animals : an open access journal from MDPI
|January 25, 2025
概括
在奶牛养殖中标准化数据收集对于数据整合和可操作的见解至关重要. 本评论提出了统一数据协议的途径,以提高整个行业的决策和运营效率.
科学领域:
- 农业科学 农业科学
- 数据科学数据科学数据科学
- 动物科学动物科学
背景情况:
- 数据整合和分析对于推进乳制品行业,改善决策和提高运营效率至关重要.
- 目前的数据生成和收集方法缺乏标准化,阻碍了无集成和可靠的洞察力.
- 乳制品大脑项目的协调创新网络 (CIN) 召集了多学科的利益相关者,以应对这些挑战.
研究的目的:
- 讨论与标准化乳制品养殖数据生成和收集相关的挑战.
- 提出实施统一数据协议的可操作途径.
- 探索标准化数据的好处,以提高不同来源的兼容性和可靠性.
主要方法:
- 一份基于多学科利益相关者群体的见解的评论论文,包括行业专家,学者和农民.
- 分析了在乳制品大脑项目的CIN.下组织的会议上的讨论和发现.
- 审查特定行业的案例研究和现有的框架,如国际动物登记委员会.
主要成果:
- 在农场和工业层面,标准化是必不可少的.
- 教育,激励和利用现有框架是采用的关键.
- 成功的案例研究,如巴西的GERAR和劳动农村,证明了综合数据对生殖表现和农场层面见解的价值.
- 利益相关者之间的合作对于成功实施至关重要.
结论:
- 实施标准化的数据生成和收集协议是必要的,以便在乳制品养殖中获得数据驱动的见解.
- 建议采用涉及农民,工业和学术界的协作方法,以实现广泛采用.
- 标准化将提高数据的可靠性,兼容性,并最终提高乳制品行业的效率和利能力.
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