乳制品农场的大数据和人工智能的未来:一个拟议的乳制品数据生态系统
Miel Hostens1,2, Sébastien Franceschini1,3, Meike van Leerdam1
1Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14853.
JDS communications
|January 7, 2026
概括
牛奶农场可以使用集成的人工智能 (AI) 框架来提高生产力和可持续性. 该系统使用边缘计算和联合学习进行实时,保护隐私的数据分析和决策.
科学领域:
- 农业技术 农业技术
- 数据科学数据科学数据科学
- 人工智能的人工智能
背景情况:
- 乳制品行业在生产率,可持续性和数据管理方面面临着挑战.
- 需要智能,可扩展和保护隐私的技术解决方案.
- 数据和人工智能 (AI) 对高效运营和市场竞争力至关重要.
研究的目的:
- 为数据密集型奶牛养殖场运营提出一个综合的多式联网人工智能框架.
- 为了提高农场管理,利用大数据原则和人工智能技术.
- 为了实现实时,保护隐私的分析和知识共享.
主要方法:
- 结合边缘计算,自主人工智能代理和联合学习.
- 将异质农场数据转化为用于本地和云分析的嵌入式数据.
- 通过仅共享模型权重或匿名数据来保护隐私.
主要成果:
- 在农场层面实时进行隐私保护分析.
- 支持健康监测,风险预测和运营优化.
- 通过研究农场和云协作促进知识共享和模型改进.
结论:
- 拟议的架构支持数据完整性,可扩展性和实时个性化.
- 允许农场,研究机构和监管机构之间建立安全的伙伴关系.
- 促进乳制品行业的安全,跨部门创新,以乳腺炎管理为例.
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