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Related Experiment Video

Updated: Oct 18, 2025

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
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Application Research: Big Data in Food Industry.

Qi Tao1, Hongwei Ding1, Huixia Wang2

  • 1Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China.

Foods (Basel, Switzerland)
|September 28, 2021
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Big data applications in the food industry are emerging, offering potential for market growth and improved management. However, technological, health, and sustainability challenges must be addressed for full realization.

Keywords:
application prospectbig datafood industrysustainable development

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Area of Science:

  • Food Science and Technology
  • Data Science
  • Business Analytics

Background:

  • The food industry generates vast amounts of data from regulatory, enterprise, and media sources.
  • Current applications of this data, particularly big data, are underdeveloped.
  • Significant potential exists for leveraging data to advance various aspects of the food sector.

Purpose of the Study:

  • To explore the current state and future prospects of big data application in the food industry.
  • To identify key areas where big data can drive innovation and development.
  • To highlight the challenges hindering the widespread adoption of big data.

Main Methods:

  • Literature review of big data applications in the food sector.
  • Analysis of data sources including regulatory, enterprise, and media data.
  • Identification of potential benefits and challenges associated with big data implementation.

Main Results:

  • Big data offers broad prospects in social co-governance, market exploitation, and quantitative production.
  • Applications extend to new dish development, take-out services, and precise nutrition and health management.
  • The food industry's big data utilization is currently in its early stages.

Conclusions:

  • Big data holds transformative potential for the food industry, from production to consumer health.
  • Addressing technological, health, and sustainable development issues is crucial for unlocking this potential.
  • Further research and development are needed to fully integrate big data into food industry practices.