Abstract

It is difficult to locate questionable foods in food safety emergencies, this study builds a food logistics framework from producers to retailers based on the RFID technology and designs a food logistics tracking systems, which transfers and tackles underlying data from logistics nodes. Tracking queries get IP addresses of logistics nodes from the address resolution service system by Internet. The queries are decomposed and composed to obtain and synthesize data from all the underlying data sources to trace food information for effectively tracing locations of questionable foods. The work is very important to prevent more spreads of food safety emergencies.

Keywords:

Food safety, logistics, RFID, tracing,

References

1. Ilic, A., T. Andersen and F. Michahelles, 2009. Increasing supply-chain visibility with rule-based RFID data analysis. IEEE Internet Comput., 13(1): 31-38.
   CrossRef    
2. Liu, L., 2013. A new advanced logistics supply chain for food management based on green logistics theory. Adv. J. Food Sci. Technol., 5(10): 1337-1341.
   
3. Meng, X.F., Z.M. Ding and J.J. Xu, 2014. Moving Objects Management: Models, Techniques and Applications. Springer, Heidelberg, pp: 1-225.
   CrossRef    
4. Roussos, G., S.S. Duri and C.W. Thompson, 2009. RFID meets the internet. IEEE Internet Comput., 13(1): 11-13.
   CrossRef    
5. Su, H. and X. Wu, 2010. Analysis of the reverse logistics under the food recall system. Commerc. Res., 2010: 178-180.
   
6. Sun, Y.C., H.L. Yan, C. Lu, R. Bie and Z.B. Zhou, 2014. Constructing the web of events from raw data in the web of things. Mob. Inf. Syst., 10(1): 105-125.
   CrossRef    
7. Wang, F.S., C.J. Zhou and Y.M. Nie, 2013. Event processing in sensor streams. In: Aggarwal, C.C. (Ed.), Managing and Mining Sensor Data, Springer Science+Business Media, New York, pp: 77-102.
   CrossRef    
8. WHO (World Health Organization), 2014. Annual Bulletin, 2014. Retrieved from: http:// www.who.int/topics/food_safety/zh/index.html.
   Direct Link
9. Wu, J., 2011. Study on development of agricultural product logistics in China. Econ. Problems, 11(1): 68-70.
   
10. Zhao, B. and R. Xie, 2007. The safety management framework using the simulation technology based on GIS in food logistics. Agric. Netw. Inform., 10(8): 16-18.
    
11. Zhao, S. and X. Yang, 2013. Food safety risk assessment in whole food supply chain based on catastrophe model. Adv. J. Food Sci. Technol., 5(12): 1557-1560.
    

Competing interests

The authors have no competing interests.

Open Access Policy

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The authors have no competing interests.