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AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions.

Zohra Dakhia1,2, Mariateresa Russo3, Massimo Merenda2,4

  • 1Department of Biology, University Federico II of Naples, 80126 Naples, Italy.

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|April 12, 2025
PubMed
Summary
This summary is machine-generated.

Food computing integrates artificial intelligence (AI) and the Internet of Things (IoT) to enhance food system efficiency, safety, and sustainability. This technology optimizes supply chains, improves food safety, and enables personalized nutrition through data-driven insights.

Keywords:
artificial intelligence (AI)food computingfood traceabilityinternet of things (IoT)supply chain optimization

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Area of Science:

  • Food Science and Technology
  • Computer Science
  • Agricultural Technology

Background:

  • Traditional food systems face challenges in efficiency, safety, and sustainability.
  • Digital technologies offer transformative solutions for the food sector.
  • Food computing integrates AI, IoT, and data analytics to address these challenges.

Purpose of the Study:

  • To review the applications of AI and IoT in food computing.
  • To highlight advancements in supply chain optimization, food safety, and personalized nutrition.
  • To discuss challenges and emerging trends in food computing.

Main Methods:

  • Review of AI applications: computer vision, Natural Language Processing, predictive modeling.
  • Integration of IoT for real-time monitoring and data collection.
  • Exploration of data sources: images, nutritional databases, user logs.

Main Results:

  • AI enhances food recognition, quality assessment, recipe analysis, and dietary recommendations.
  • IoT improves supply chain transparency, efficiency, and traceability.
  • Data convergence enables tailored solutions and personalized nutrition.

Conclusions:

  • Food computing offers significant potential to advance the food sector.
  • Challenges include data heterogeneity, privacy, scalability, and regulations.
  • Emerging trends like federated learning, blockchain, and edge AI offer solutions for ethical and sustainable food systems.