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• W3173317871 endingPage "104602" @default.
• W3173317871 startingPage "104602" @default.
• W3173317871 abstract "• Continuous integration of dairy farm data helps to improve decision making and farm management. • Automating dairy farm data collection, decoding, cleaning, homogenization, and integration can facilitate dairy farm analytics. • Engineering techniques to dairy data management increase the development, applicability, and distribution of new research knowledge. Modern dairy farms generate vast amounts of data, with different sections of the operation having the ability to produce its own uniquely structured data stream depending on the specific hardware and software used. As a result of this heterogeneity, these streams are difficult to link to each other, thus it is rarely done. This creates an opportunity to add value to the data by integrating and homogenizing data from the different sources, with the end result of enriching analyses and helping to improve farm management decisions. Within a proposed project, a two component modular system is being developed. One component collects, cleans, and integrates data from on-farm systems into a centralized hub (AgDH). This system provides data to a framework designed to deploy and operationalize existing research-derived analytical tools and provide access to these tools and data via a user interface. The AgDH follows five steps to ingest different data streams available at the dairy farm: 1) transporting raw data into a centralized system; 2) decoding and storing data in a database; 3) cleaning data to ensure its validity; 4) homogenization of data by extracting the common features among the different software and farms; and 5) integration of data from the different systems. Each of these steps is crucial to make data available from different sources in a consistent manner, ease algorithmic development and its implementation, and facilitate the deployment of new tools that utilize the integrated data. In order to automate the process and make the data continuously available an open source workflow management platform was used. Both historical and current data can be made available to authenticated users via an application programming interface hosted through a web service. This framework needs to be designated to be flexible and able to adapt quickly to the changes and new technologies that are continuously being developed in the dairy industry. The integration and accessibility of data can facilitate a wide range of descriptive, predictive, and prescriptive analytics that can be developed and deployed directly on farms to increase animal performance, efficiency, health and welfare, profit margins, and decrease the environmental impact of dairy farming." @default.
• W3173317871 created "2021-07-05" @default.
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• W3173317871 date "2021-08-01" @default.
• W3173317871 modified "2023-10-14" @default.
• W3173317871 title "Improving farm decisions: The application of data engineering techniques to manage data streams from contemporary dairy operations" @default.
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• W3173317871 doi "https://doi.org/10.1016/j.livsci.2021.104602" @default.
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