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Internet of Things (IoT) technology enhances cold chain logistics monitoring for fresh produce. A designed IoT middleware framework and evaluation methods validate its effectiveness in optimizing agricultural product transportation.

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Area of Science:

  • Logistics and Supply Chain Management
  • Information Technology Applications
  • Agricultural Economics

Background:

  • Cold chain logistics is critical for preserving fresh agricultural products.
  • Traditional monitoring methods in cold chain logistics face challenges in efficiency and accuracy.
  • The Internet of Things (IoT) offers potential for advanced monitoring and management.

Purpose of the Study:

  • To design an IoT middleware framework for cold chain transportation tracking.
  • To analyze and integrate IoT and cold chain technologies for agricultural product logistics.
  • To validate the effectiveness of the proposed system in real-world scenarios.

Main Methods:

  • Development of an IoT middleware framework for cold chain tracking.
  • Data collection through investigation of agricultural product logistics.
  • Application of analytic hierarchy process and fuzzy comprehensive evaluation methods.
  • Integration of IoT, Internet, and cold chain technologies.

Main Results:

  • The designed IoT middleware framework effectively supports cold chain transportation tracking.
  • The analytic hierarchy process and fuzzy comprehensive evaluation confirmed the validity of the index system.
  • The study demonstrates the potential for improved efficiency and reduced costs in agricultural product logistics.

Conclusions:

  • IoT technology significantly enhances cold chain logistics monitoring and management.
  • The developed framework and evaluation methods provide a robust solution for tracking fresh agricultural products.
  • Optimized cold chain logistics through IoT leads to better economic benefits for enterprises.