An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things
S Balamurugan1, A Ayyasamy, K Joseph2
1S Balamurugan*, Ph.D., Research Scholar, Department of CSE, Annamalai University, Chidambaram. Tamilnadu, India.
2A Ayyasamy, Department of CSE, FEAT, Annamalai university, Chidambaram, Tamilnadu, India.
3K Suresh Joseph, Department of Computer Science, Pondicherry University, Puducherry. India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2995-3005 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1379109119/2019©BEIESP | DOI: 10.35940/ijeat.A1379.109119
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The conventional Food Supply Chain Management (FSCM) faces a variety of provocation such as ambiguity, security, cost, complication and quality concerns. To resolve these issues, supply chain must be precise. A challenging assignment in today’s food industry is distributing the high quality of foods throughout the supply chain management. In this paper, proposes an efficient Bayes Classifiers Algorithm which integrated with FSCM using Internet of Things (IoT) to allow tracking, tracing and managing the entire process of food supply chain such as supplier, exporter and customers. The objective of this paper is to determine the food safety and to optimize chronological data produced to analyze the effective possibility of future assump- tions. It also aims to foods carrying from the manufacturers to the customers with help of IoT technologies to bond the producer to the customer with delivery of high class of food products. IoT based Food Supply Chain Traceability is utilized t o data transaction effectively with indeterminate, uncertain and insufficient information. So the proposed efficient Bayes Classifiers Algorithm will be capable to overcome all provocation of conventional supply chain and afford secure background and food safety for FSCM process using IoT technology.
Keywords: Bayes classifier algorithm, Tree Augmented Naive Bayes, Traceability, FSCM, Food safety and IoT