CowMesh:一个数据网架构,统一乳制品行业数据,用于预测和监测
Arjun Pakrashi1,2,3, Duncan Wallace1,2,3, Brian Mac Namee1,2,3
1School of Computer Science, University College Dublin, Dublin, Ireland.
Frontiers in artificial intelligence
|October 23, 2023
概括
一个新的数据网架构能够实现去中心化的乳制品农场数据访问,赋予农民和研究人员权力,同时保护数据所有权. 这项创新解决了管理牛健康和改善全国乳制品行业的挑战.
科学领域:
- 农业科学 农业科学
- 数据科学数据科学数据科学
- 信息技术 信息技术 信息技术
背景情况:
- 奶牛养殖面临着巨大的经济风险,因为牛的健康问题,如乳腺炎和.
- 越来越多的自动化产生了大量关于奶牛场的数据,这对健康管理至关重要.
- 现有的数据可访问性受到缺乏集中组织和农民隐私问题的阻碍.
研究的目的:
- 引入一种针对乳制品行业量身定制的新型数据网架构.
- 促进对农场级数据的安全和分散访问.
- 支持改善奶牛健康管理,减少经济损失.
主要方法:
- 为乳制品行业开发一个分散的数据网架构.
- 实施共同的,统一的数据标准化协议.
- 为研究人员和产品开发人员建立安全访问机制.
主要成果:
- 数据网格架构使数据集成能够在不影响农民所有权的情况下实现.
- 它提供了一个统一的框架,用于访问各种乳制品农场数据.
- 为研究和产品开发提供安全,插件式的访问.
结论:
- 拟议的数据网架构为乳制品行业的数据挑战提供了独特的解决方案.
- 它通过安全,分散的数据共享来赋予农民,研究人员和产品开发人员权力.
- 这一框架可以为政府监管和行业改进提供国家层面的见解.
相关概念视频
Mesh Analysis
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Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
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