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iTrack: IoT framework for Smart Food Monitoring System

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Amrita Srivastava, Ankita Gulati

Amrita Srivastava and Ankita Gulati. iTrack: IoT framework for Smart Food Monitoring System. International Journal of Computer Applications 148(12):1-4, August 2016. BibTeX

	author = {Amrita Srivastava and Ankita Gulati},
	title = {iTrack: IoT framework for Smart Food Monitoring System},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2016},
	volume = {148},
	number = {12},
	month = {Aug},
	year = {2016},
	issn = {0975-8887},
	pages = {1-4},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2016911314},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


In the era of technology advancement, everything requires monitoring and controlling. This paper proposes an IoT framework for facilitating food monitoring for protection of the food, so that it would not get contaminated due to surrounding conditions during storage and transportation. In present scenario, the work done is in terms of the sensed values that have been recorded and a detailed analysis has been performed but automated control alternatives are not present. The proposed solution analyzes temperature, moisture, light as these parameters affect nutritional values of food items and makes the analysis results accessible to the user via a mobile application. A web server is used for storage of data values sensed in real time and also for analysis results. User is alerted via messages along with location of the shipment whenever an emergency occurs.

In this solution, heterogeneous sensors for various domains are employed for sensing the condition of food. The data values with plotting of graphs has been done at remote location so that this data can easily be used for further analysis and the user could be notified if a change in parameters values above a threshold is recorded


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Real time monitoring; remote logging; nutritive value; mobile application; user alerts