A traceable platform of aquatic foods supply chain based on RFID and EPC Internet of Things

Yan, Bo; Hu, Die; Shi, Ping

doi:10.3233/rft-2012-0035

Cited by 32 publications

(19 citation statements)

References 2 publications

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“…With the rising popularity of sensors, barcode, actuators, and RFID tags, IoT applications produce enormous amounts of rich data per day [26,27]. In few industrial provinces, food manufacturing plans can be considered by the exposed data and knowledge, which can be utilized to raise and expand maximum utilities [28]. Several analytic technologies are used in lots of diverse domains and they offer influential ways of discovering helpful, significant, and embedded data from particularly big datasets [29].…”

Section: Literature Surveymentioning

confidence: 99%

An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things

Balamurugan¹,

Ayyasamy²,

Joseph³

2019

IJEAT

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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.

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Section: Literature Surveymentioning

confidence: 99%

An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things

Balamurugan¹,

Ayyasamy²,

Joseph³

2019

IJEAT

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“…Cold chain is a special food supply chain, in which temperature is always under control throughout the process from raw materials and resources acquisition, storage, transportation, processing to product sales, and consumption so as to make sure food safety [12,13]. Food supply chain aims at global resource and raw materials acquisition, global manufacturing, and global sales.…”

Section: Implementation Of Cold Chain Traceability Systemmentioning

confidence: 99%

Supply Chain Innovation with IoT

Cui¹

2018

Multi-Criteria Methods and Techniques Applied to Supply Chain Management

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In this chapter, we first describe and analyze the evolution of supply chain and the history of IoT technologies' development briefly. And then, we conduct a systematic research on the characteristics of supply chain system in IoT context and analyze how to realize the innovation of supply chain system in IoT context in detail, and on this basis, we propose the architecture of cold chain traceability system. Furthermore, through the decision-making process model for supply chain disruption and establishment of knowledge management system in IoT environment, the competences needed for improving supply chain resilience is reinforced. In the end, a case study is conducted to illustrate the availability and robustness of traceability system in the food supply chan.

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“…Once the agricultural supply chain in one part of the problem was found, it can easily useSupply chain traceability bottom, find the source of problems, eliminate safety hazards agricultural fundamentally [2]. Faced with agricultural pollution, poisoning incidents continue to occur, the producers of agricultural products, between operators and consumer information asymmetry situation, in order to protect the quality and safety of agricultural products, to establish a real-time, accurate, efficient and convenient quality safety of agricultural products traceability system is imminent [3,4]. Guarantee the quality and safety of agricultural products, and promote the standardization of production basket of the project, and to regulate agricultural markets, building a harmonious society is the fundamental requirement [5].…”

Section: Introductionmentioning

confidence: 99%

Design of Agricultural Product Safety Traceability System based on Things EPC Standard

Zhang¹

2016

IJSH

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The main purpose of traceability system can be recorded and stored goods in the supply process-related information, when quality problems arise, it is possible to quickly and efficiently traced part of the problem and implement targeted rescue measures, if necessary, product recalls, thus to ensure product quality and safety and consumer's right to know. In this paper, the core technology of agricultural products traceability system conducted in-depth research. This paper shows complete traceability of agricultural EPC standards-based platform for the development of various agricultural products circulation of information transparency display, repeatedly received praise at the exhibition meeting. Platform integration of a number of enterprise product data, meet the supervision of consumers' right to know information on the circulation of agricultural products, businesses and governments to track the quality of agricultural products, but also to promote China to solve the problem of agricultural products provides a new channel.

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A traceable platform of aquatic foods supply chain based on RFID and EPC Internet of Things

Cited by 32 publications

References 2 publications

An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things

An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things

Supply Chain Innovation with IoT

Design of Agricultural Product Safety Traceability System based on Things EPC Standard

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