Food Traceability System Based on 3D City Models and Deep Learning

Mao, Bo; He, Jing; Cao, Jie; Gao, Wei; Pan, Di

doi:10.1007/s40745-016-0072-1

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Fan et al [9] proved that the consumer awareness of traceability and blockchain costs affects the introduction of blockchain technology by supply chain members. There are also several studies focusing on the application of blockchain technology in government regulation and food traceability [21,22]. Our study expands this literature stream by analyzing the impacts of consumers' traceability awareness in SBT and TBT.…”

Section: Literature Reviewmentioning

confidence: 81%

Self-Built or Third-Party Blockchain Traceability Strategy in a Dual-Channel Supply Chain Considering Consumers’ Traceability Awareness

Sun,

Song,

Fang

et al. 2023

Mathematics

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Blockchain is widely used in the manufacturing industry. This paper establishes a dual-channel supply chain composed of a manufacturer and an e-retailer. A monopoly manufacturer conducts indirect online selling through retailers as well as direct offline selling. The manufacturer chooses to adopt a self-built blockchain traceability system (SBT) or a third-party blockchain traceability system (TBT). Game analysis is developed to depict the pricing decision for the manufacturer and e-retailer. The optimal pricing decisions of the supply chain between manufacturer and e-retailer for different blockchain traceability strategies are obtained. We explore the influence of consumers’ traceability awareness on the decisions of dual-channel supply chain members when adopting different blockchain traceability strategies. The main results show that when the fee paid to the blockchain service provider is low, the manufacturer will prefer to adopt TBT. Moreover, we prove that consumers’ traceability awareness, the cost of adopting TBT, the blockchain traceability technology level, and the research and development cost factor of blockchain technology could affect the decisions of supply chain members. Finally, some management suggestions are provided.

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Section: Literature Reviewmentioning

confidence: 81%

Self-Built or Third-Party Blockchain Traceability Strategy in a Dual-Channel Supply Chain Considering Consumers’ Traceability Awareness

Sun,

Song,

Fang

et al. 2023

Mathematics

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“…However, video surveillance generates many data, and compression may increase the complexity and also requires a resource for decompression, making it a slow method. In [30], a food traceability approach was proposed that also extracts information by processing video surveillance data. The proposed system works in four steps; Firstly, it builds a 3D model of the areas that need to be monitored.…”

Section: [33]mentioning

confidence: 99%

Fog-Computing-Based Cyber–Physical System for Secure Food Traceability through the Twofish Algorithm

et al. 2022

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The Internet is an essential part of daily life with the expansion of businesses for maximizing profits. This technology has intensely altered the traditional shopping style in online shopping. Convenience, quick price comparison, saving traveling time, and avoiding crowds are the reasons behind the abrupt adoption of online shopping. However, in many situations, the product provided does not meet the quality, which is the primary concern of every customer. To ensure quality product provision, the whole food supply chain should be examined and managed properly. In food traceability systems, sensors are used to gather product information, which is forwarded to fog computing. However, the product information forwarded by the sensors may not be similar, as it can be modified by intruders/hackers. Moreover, consumers are interested in the product location, as well as its status, i.e., manufacturing date, expiry date, etc. Therefore, in this paper, data and account security techniques were introduced to efficiently secure product information through the Twofish algorithm and dual attestation for account verification. To improve the overall working, the proposed mechanism integrates fog computing with novel modules to efficiently monitor the product, along with increasing the efficiency of the whole working process. To validate the performance of the proposed system, a comparative simulation was performed with existing approaches in which Twofish showed notably better results in terms of encryption time, computational cost, and the identification of modification attacks.

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Food Traceability System Based on 3D City Models and Deep Learning

Cited by 2 publications

References 15 publications

Self-Built or Third-Party Blockchain Traceability Strategy in a Dual-Channel Supply Chain Considering Consumers’ Traceability Awareness

Self-Built or Third-Party Blockchain Traceability Strategy in a Dual-Channel Supply Chain Considering Consumers’ Traceability Awareness

Fog-Computing-Based Cyber–Physical System for Secure Food Traceability through the Twofish Algorithm

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