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奶牛网格:一种统一乳制品行业数据以进行预测和监测的数据网格架构。

CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring.

作者信息

Pakrashi Arjun, Wallace Duncan, Mac Namee Brian, Greene Derek, Guéret Christophe

机构信息

School of Computer Science, University College Dublin, Dublin, Ireland.

Insight Centre for Data Analytics, Dublin, Ireland.

出版信息

Front Artif Intell. 2023 Oct 4;6:1209507. doi: 10.3389/frai.2023.1209507. eCollection 2023.

Abstract

Dairy is an economically significant industry that caters to the huge demand for food products in people's lives. To remain profitable, farmers need to manage their farms and the health of the dairy cows in their herds. There are, however, many risks to cow health that can lead to significant challenges to dairy farm management and have the potential to lead to significant losses. Such risks include cow udder infections (i.e., mastitis) and cow lameness. As automation and data recording become more common in the agricultural sector, dairy farms are generating increasing amounts of data. Recently, these data are being used to generate insights into farm and cow health, where the objective is to help farmers manage the health and welfare of dairy cows and reduce losses from cow health issues. Despite the level of data generation on dairy farms, this information is often difficult to access due to a lack of a single, central organization to collect data from individual farms. The prospect of such an organization, however, raises questions about data ownership, with some farmers reluctant to share their farm data for privacy reasons. In this study, we describe a new architecture designed for the dairy industry that focuses on facilitating access to data from farms in a decentralized fashion. This has the benefit of keeping the ownership of data with dairy farmers while bringing data together by providing a common and uniform set of protocols. Furthermore, this architecture will allow secure access to the data by research groups and product development groups, who can plug in new projects and applications built across the data. No similar framework currently exists in the dairy industry, and such a data mesh can help industry stakeholders by bringing the dairy farms of a country together in a decentralized fashion. This not only helps farmers, dairy researchers, and product builders but also facilitates an overview of all dairy farms which can help governments to decide on regulations to improve the dairy industry at a national level.

摘要

乳制品行业是一个具有重要经济意义的产业,它满足了人们生活中对食品的巨大需求。为了保持盈利,奶农需要管理好他们的农场以及牛群中奶牛的健康状况。然而,奶牛健康面临许多风险,这些风险会给奶牛场管理带来重大挑战,并有可能导致巨大损失。此类风险包括奶牛乳房感染(即乳腺炎)和奶牛跛足。随着自动化和数据记录在农业领域变得越来越普遍,奶牛场产生的数据量也在不断增加。最近,这些数据被用于深入了解农场和奶牛健康状况,目的是帮助奶农管理奶牛的健康和福利,减少因奶牛健康问题造成的损失。尽管奶牛场产生了大量数据,但由于缺乏一个单一的中央组织来收集各个农场的数据,这些信息往往难以获取。然而,这样一个组织的设想引发了数据所有权的问题,一些奶农出于隐私原因不愿分享他们的农场数据。在本研究中,我们描述了一种为乳制品行业设计的新架构,该架构侧重于以分散的方式促进对农场数据的访问。这样做的好处是在将数据汇集起来的同时,让奶农保留数据所有权,方法是提供一套通用且统一的协议。此外,该架构将允许研究团队和产品开发团队安全访问这些数据,他们可以接入基于这些数据构建的新项目和应用程序。目前乳制品行业不存在类似的框架,这样的数据网格可以通过以分散的方式将一个国家的奶牛场聚集在一起,帮助行业利益相关者。这不仅有助于奶农、乳制品研究人员和产品制造商,还便于对所有奶牛场进行全面了解,从而有助于政府制定法规,在国家层面改善乳制品行业。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aa9/10586498/0ead417c2b53/frai-06-1209507-g0001.jpg

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