Harnessing Big Data in Food Safety

Big Data technologies have the potential to revolutionize the agriculture sector, particularly food safety and quality practices. This book provides a foundational understanding of various applications of Big Data in Food Safety, including cleaning, processing, and extracting useful information to improve decision-making. Examples of how big data can be used in bacteriology, virology, and mycology are included, as well as how it can be used in food spoilage and quality deterioration, supply chain traceability, and policy and regulations. Machine-learning has also improved the speed and accuracy of many processes in the food supply chain, but raises important questions about security/privacy, data control, and data governance.

Format: Hardback
Length: 162 pages
Publication date: 24 November 2022
Publisher: Springer International Publishing AG

Big Data technologies hold immense potential to transform the agriculture sector, particularly in the realm of food safety and quality practices. This comprehensive book aims to provide a foundational understanding of various applications of Big Data in Food Safety. Big Data necessitates the utilization of sophisticated approaches for cleaning, processing, and extracting valuable information to enhance decision-making processes. The contributed volume delves into these methodologies and algorithms within the context of real-world food safety studies.

Food safety and quality-related data are being generated at an unprecedented scale and from diverse sources, including farms, processors, retailers, government organizations, and other industries. The editors have showcased how Big Data can be effectively leveraged in fields such as bacteriology, virology, and mycology to improve food safety. Furthermore, additional chapters provide insights into how Big Data sources are aggregated and utilized in food safety and quality domains, including food spoilage and quality deterioration along the supply chain, food supply chain traceability, and policy and regulations. The volume also offers solutions to address challenges related to standardization, data interoperability, and data governance. Additionally, this book explores how the application of machine-learning has revolutionized processes in the food supply chain, enhancing speed and accuracy. Furthermore, it discusses some of the inherent challenges associated with this technology.

To conclude this comprehensive volume, researchers delve into the profound impact of Big Data on food safety, emphasizing its role as a major disruptor in the field. They discuss how Big Data continues to shape the future of food safety and quality assurance, offering new opportunities for innovation and improvement.

Weight: 430g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031071782
Edition number: 1st ed. 2023