Development and evaluation on a wireless multi-gas-sensors system for improving traceability and transparency of table grape cold chain

X. Wang, Qile He, M. Matetic, T. Jemric, X. Zhang

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21 Citations (Scopus)
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Abstract

There is increasing requirement to improve traceability and transparency of table grapes cold chain. Key traceability indicators including temperature, humidity and gas microenvironments (e.g., CO2, O2, and SO2) based on table grape cold chain management need to be monitored and controlled. This paper presents a Wireless Multi-Gas-Sensors System (WGS2) as an effective real-time cold chain monitoring system, which consists of three units: (1) the WMN which applies the 433 MHz as the radio frequency to increase the transmission performance and forms a wireless sensor network; (2) the WAN which serves as the intermediary to connect the users and the sensor nodes to keep the sensor data without delay by the GPRS remote transmission module; (3) the signal processing unit which contains embedded software to drive the hardware to normal operation and shelf life prediction for table grapes. Then the study evaluates the WGS2 in a cold chain scenario and analyses the monitoring data. The results show that the WGS2 is effective in monitoring quality, and improving transparency and traceability of table grape cold chains. Its deploy ability and efficiency in implantation can enable the establishment of a more efficient, transparent and traceable table grape supply chain.

Publisher Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Computers and Electronics in Agriculture. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Electronics in Agriculture, [135, (2017)] DOI: 10.1016/j.compag.2016.12.019

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Original languageEnglish
Pages (from-to)195–207
Number of pages13
JournalComputers and Electronics in Agriculture
Volume135
Early online date17 Feb 2017
DOIs
Publication statusPublished - 1 Apr 2017

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Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Computers and Electronics in Agriculture. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Electronics in Agriculture, [135, (2017)] DOI: 10.1016/j.compag.2016.12.019

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Table grapes
  • Gas microenvironment monitoring
  • Shelf life prediction
  • Cold chain
  • Traceability and transparency

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