Model for quality tracing of agricultural products using RFID and Internet systems

Date
2014
Authors
Yu, Meng
Zhang, Xiejun
Sarker, Bhaba R.
Yi, Hui zhi
Li, Cun Rong
Journal Title
Journal ISSN
Volume Title
Publisher
DEStech Publications, Inc.
Abstract

Due to nationwide health hazard problems and the development and prevalence of information industry, Internet of Things (IOT)-based traceability system has gradually been applied to agricultural products to monitor the whole process from fields to final consumers, covering production, processing, and sales. This paper first analysis the factors that affect production-based processing enterprises and supermarkets as main patterns of direct link between farmers and supermarkets. A model for tracing the system or factors that affect agriculture product quality is then proposed. Finally, a prototype system is established and its application is discussed by adopting radio frequency identification (RFID) technology, ASP.NET, and Web services technologies, with Visual Studio as the software development platform and SQL Server as the backstage database. The RFID is used here as an aid to gather product information. The importance of the system developed in this study lies in as follows: firstly, this system can realize the effective traceability of the whole process for agricultural products from the origin to final customers through the processing enterprises and supermarkets|| secondly, adaptation of this system enables the transparency of the agricultural product information and, thus, the enterprises can be better managed|| lastly, this system enhances the safety, consciousness of consumers, and supervision of government department for agricultural products quality.

Description
Paper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio
Includes bibliographical references
Keywords
Radio frequency identification systems, Agricultural processing--Automation, Product safety
Citation
Department