Optimization of C5.0 Classifier With Bayesian Theory for Food Traceability Management Using Internet of Things

Optimization of C5.0 Classifier With Bayesian Theory for Food Traceability Management Using Internet of Things

Balamurugan Souprayen, Ayyasamy Ayyanar, Suresh Joseph K
DOI: 10.4018/IJSSTA.2020010101
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Abstract

In order to survive with the existing financial circumstances and the development of global food supply chain, the authors propose efficient food traceability techniques using the internet of things and obtain a solution for data prediction. The purpose of the food traceability is used to retain the good quality of raw material supply, diminish the loss, and reduce system complexity. The primary issue is to tackle current limitations to prevent food defects from exceeding hazardous levels and to inform the safety measures to the customers. The proposed hybrid algorithm is for food traceability to make accurate predictions and enhanced period data. The operation of the internet of things is addressed to track and trace the food quality to check the data acquired from manufacturers and consumers. The experimental analysis depicts that proposed algorithm has high accuracy rate, less execution time and error rate.
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1. Introduction

For the past decade, food is the primary energy resource of human civilization and its quality and safety has been a major issue throughout the world especially in China for several causes (Liu et al., 2016). For example, the event of 2008, the embarrassment of Sanlu melamine milk powder, has staggered humanity because of its effects on thousands of babies, resulting in the deaths of many of them (Wen et al., 2018). Another event that shocked Chinese society and humanity occurred in 2011, when the Shuanghui assembly's animal protein which is the China's largest meat supplier was exposed to carrying a drug named Clenbuterol hydrochloride that is forbidden from injecting into food substances in China (Lin, Wang, Pei et al, 2019) (Abad et al., 2009). Therefore, it is very important to expand technologies to ensure food safety for entire Food Supply Chain (FSC) includes manufacture, processing, warehouse, shipping, storage and distribution.

To deal these issues from a technical perspective, people need a system of food traceability, which is capable of monitoring the complete life of food cycle including the production, processing, transport, storage and sales of foodstuffs (Lin, Li, Wu et al, 2019), which involve numerous untrustworthy issues. More studies around the globe have been carried out with the introduction of several technologies such as the Internet of Things (IoT) to help the food user recognise food quality and safety concerns (Li et al., 2019). IoT is an idea to tie the whole thing around the time to time, and it's expected to change the importance of our human life dramatically in the future. (Liang et al., 2019). IoT technologies should be capable of providing possible solutions for identifying traceability, tracking and manageability concerns for FSC. IoT will take part in the task of deciding the problems of food quality and safety in terms of monitoring the nutrient value of each product, throughout its lifetime and also providing functional information to make it easier and more secure (Tolba & Altameem, 2020).

Sensors are capable of boosting an IoT's anxiety and other parameters (Tsang et al., 2019). The environmental conditions of the food traceability system are evaluated using sensors with cost-reduced techniques based on an economical background and quick communication with the system. Figure 1 Illustrates IoT applications in the current years; IoT has day-to-day interconnectivity. Connectivity has been made within Transport Systems, Agriculture, Energy Use, Security and Privacy, Building Management, Embedded Systems, Industry Systems (Etim & Lota, 2016), Pervasive Computing, Smart Home (Feng et al., 2017) and Applications for Health Care (Riazul Islam et al., 2015).

Figure 1.

IoT applications

IJSSTA.2020010101.f01

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