RFID Based Embedded System for Sustainable Food Management in an IoT Network Paradigm

Raúl Parada, Alfonso Palazón, Carlos Monzo and Joan Melià-Seguí
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Raúl Parada: Estudis de Informàtica, Multimèdia i Telecomunicació Universitat Oberta de Catalunya, Rambla del Poblenou, 156, 08018 Barcelona, Spain
Alfonso Palazón: Estudis de Informàtica, Multimèdia i Telecomunicació Universitat Oberta de Catalunya, Rambla del Poblenou, 156, 08018 Barcelona, Spain
Carlos Monzo: Estudis de Informàtica, Multimèdia i Telecomunicació Universitat Oberta de Catalunya, Rambla del Poblenou, 156, 08018 Barcelona, Spain
Joan Melià-Seguí: Internet Interdisciplinary Institute, Universitat Oberta de Catalunya, Avinguda Carl Friedrich Gauss, 5, 08060 Castelldefels, Barcelona, Spain

Future Internet, 2019, vol. 11, issue 9, 1-16

Abstract: A third of the food produced in the world ends up in the rubbish, enough to put an end to world hunger. On the other hand, society is increasingly concerned to bring healthy eating habits. A RFID (radio frequency identification) food management system is designed to palliate the previously described issues in an Internet of Things (IoT) network paradigm. It consists of RFID readers placed on a user’s kitchen furniture, which automatically reads food information. There is no need for direct sight between reader and tag, as it occurs through the barcode technology. As a complement, a multi-platform web application is developed, allowing its users to check the date of food expiration and other detailed information. The application notifies the user when a product is about to expire. It also offers recipes that might be prepared with available foods, thus preventing them from being wasted. The recipes are accompanied by their nutritional information, so that the user can exhaustively monitor what he/she eats. This embedded system may provide economic benefits to the manufacturer, since it allows supermarkets to pay for displaying their products advertised through the application. After system deployment, design conclusions are shown, and future improvement points are indicated.

Keywords: internet of things; radio frequency identification; food management; recommendation systems; real-time embedded systems (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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