Integration of RFID, wireless sensor networks, and data mining in an e-pedigree food traceability system
Integration of RFID, wireless sensor networks, and data mining in an e-pedigree food traceability system
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DOI：
10.1016/j.jfoodeng.2017.05.008
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发表时间：
2017-11-01
影响因子：
5.5
通讯作者：
Syaekhoni, M. Alex
中科院分区：
文献类型：
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作者：
Alfian, Ganjar;Rhee, Jongtae;Syaekhoni, M. Alex
随着消费者健康意识的不断增强，食品质量和安全受到了相当大的关注。因此，消费者对食品质量和供应链沿着历史的完整可见性的需求显著增加。本研究提出一种电子系谱食品追溯系统，利用无线射频识别技术追踪和追溯产品的位置和无线传感器网络收集储存和运输过程中的温度和湿度。在真实的情况下可能发生传感器数据丢失，因为传感器数据由于许多原因而丢失或损坏。该系统利用数据挖掘技术来预测丢失的传感器数据。该系统在韩国泡菜供应链进行了测试，并显示出显着的好处，管理人员以及客户提供实时位置以及完整的温度和湿度的历史。与其他模型相比，多层感知器模型为缺失的传感器数据提供了最佳的预测精度。拟议中的电子谱系食品可追溯系统将帮助管理人员优化食品配送，同时提高客户满意度，因为它可以监测产品的新鲜度。(C)2017爱思唯尔有限公司版权所有
Due to the growing customer health awareness, food quality and safety has gained considerable attention. Therefore, consumer demand for complete visibility of food quality and history along the supply chain has significantly increased. This study proposes an e-pedigree food traceability system, utilizing radio frequency identification technology to track and trace product location and wireless sensor network to collect temperature and humidity during storage and transportation. Missing sensor data may occur in real cases, as sensor data are lost or corrupted due to many reasons. The proposed system utilizes data mining techniques to predict missing sensor data. The proposed system was tested for kimchi supply chain in Korea, and showed significant benefit to managers as well as customers by providing real-time location as well as complete temperature and humidity history. The multilayer perceptron model provided the best prediction accuracy for missing sensor data compared to other models. The proposed e-pedigree food traceability system will help managers optimize food distribution while also increasing customer satisfaction, as it can monitor product freshness. (C) 2017 Elsevier Ltd. All rights reserved.