| 书目名称 | Harnessing Big Data in Food Safety | | 编辑 | Jeffrey Farber,Rozita Dara,Jennifer Ronholm | | 视频video | | | 概述 | Provides an overview of the food safety data ecosystem, data sources, and data analytics.Gives examples of successful real-world case studies on the use of Big Data technologies in Food Safety.Include | | 丛书名称 | Food Microbiology and Food Safety | | 图书封面 |  | | 描述 | .Big Data technologies have the potential to revolutionize the agriculture sector, in particular food safety and quality practices. This book is designed to provide a foundational understanding of various applications of Big Data in Food Safety. Big Data requires the use of sophisticated approaches for cleaning, processing and extracting useful information to improve decision-making. The contributed volume reviews some of these approaches and algorithms in the context of real-world food safety studies. ..Food safety and quality related data are being generated in large volumes and from a variety of sources such as farms, processors, retailers, government organizations, and other industries. The editors have included examples of how big data can be used in the fields of bacteriology, virology and mycology to improve food safety. Additional chapters detail how the big data sources are aggregated and used in food safety and quality areas such as food spoilage and quality deterioration along the supply chain, food supply chain traceability, as well as policy and regulations. The volume also contains solutions to address standardization, data interoperability, and other data governan | | 出版日期 | Book 2023 | | 关键词 | food safety; Big Data; surveillance; foodborne diseases; data analytics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-07179-9 | | isbn_softcover | 978-3-031-07181-2 | | isbn_ebook | 978-3-031-07179-9Series ISSN 2629-1010 Series E-ISSN 2629-1029 | | issn_series | 2629-1010 | | copyright | Springer Nature Switzerland AG 2023 |
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发表于 2025-3-21 19:46:29
