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Ensuring food safety is crucial amid technological advancements and changing consumer demands. Leveraging big data and data science can enhance food integrity, transparency, and consumer trust throughout the supply chain.

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Area of Science:

  • Food Science and Technology
  • Data Science Applications
  • Agri-food Industry Innovation

Background:

  • Food safety is a major challenge in the evolving agri-food sector, impacted by technological progress and shifting consumer preferences.
  • Food chain transparency and trust are essential for integrity control, efficiency, and economic growth.
  • The circular economy offers potential for waste reduction and operational efficiency in multi-stakeholder food systems.

Purpose of the Study:

  • To highlight the critical role of data science in addressing contemporary food safety challenges.
  • To explore how technological advancements can be harnessed to improve food integrity and consumer trust.
  • To emphasize the integration of data from various sources for enhanced food safety monitoring.

Main Methods:

  • Analysis of data generation trends in food safety monitoring systems.
  • Review of the impact of technological progress on the agri-food industry.
  • Exploration of data science methodologies for food safety applications.

Main Results:

  • Significant data volumes are generated across the food chain, from primary production to consumer devices.
  • Existing data sources, including IoT and media, offer opportunities for improved food safety insights.
  • Data science presents a vital pathway to utilize this information for societal benefit and enhanced food integrity.

Conclusions:

  • Harnessing big data through data science is essential for modern food safety management.
  • Increased transparency and trust in the food chain can be achieved by leveraging technological advancements.
  • Proactive data utilization is key to mitigating risks associated with biological and chemical hazards in food.