Research to the information coding of agricultural products quality traceability

Jin, Haishui; Li, Nianwei

doi:10.1109/icise.2010.5689891

Cited by 1 publication

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“…The maturity of China's agricultural-product IOT traceability system and the popularity of its application need improvement. In addition, its system-software compatibility, specification of traceability-information content and integration between the system and consumption are in urgent need of a set of standardized guidelines for judgment and improvement (Jin and Zhang, 2010;Bian et al, 2022;Hu et al, 2020). Based on this, researchers have tried to evaluate the application development of agricultural-product traceability systems from a management perspective in order to achieve the standardized development of an agricultural-product IOT traceability system.…”

Section: Evaluation Of An Agricultural-product Traceability Systemmentioning

confidence: 99%

“…IJQRM 40,8 2. Literature review 2.1 Agricultural-product traceability system Agricultural-product traceability is the ability to identify how and the extent to which an agricultural product has changed by determining where it has come from, where it has been sent and how its quality and safety information can be traced and retraced (Jin and Zhang, 2010). An agricultural-product traceability system built using IOT-based sensor sensing technology and radio frequency (RF) identification technology can fully supervise the processing and transportation of agricultural products from field to table through product identification, management of relevant data and information and platform construction (Bai et al, 2013;Hu et al, 2020;Xu et al, 2022).…”

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Dynamic evaluation of a post-pandemic agricultural traceability system, based on the HFLTS-DEMATEL method

Xie

Zhang

2023

IJQRM

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PurposeDue to consumption changes in the post-pandemic era, the production safety of agricultural products is affecting global consumers. This paper constructs an evaluation index of the agricultural Internet of things (IOT) traceability system and evaluates it using the dynamic hesitant-fuzzy linguistic term sets (HFLTS)-based DEMATEL method to improve agricultural supply-chain links and improve production quality.Design/methodology/approachThe agricultural IOT traceability index system is constructed using the literature and expert interviews; it comprises 6 first-level indices and 20 second-level indices. The agricultural IOT traceability system is evaluated using the dynamic HFLTS-DEMATEL method.FindingsProducers' awareness of agricultural-production safety (A11) has the most significant impact on production and processing links, while warehouse location and storage capacity (A31) have the largest impact on the circulation link. Inspection authenticity and transparency and quarantine information (A41) have the largest impact on the detection-consumption link. The extent to which the traceability-platform construction is complete (A62) has the largest impact on technical support.Research limitations/implicationsThe present paper may be limited to the era of post-pandemic, and it is hard to consider all the indices. Further research can broaden the research context and establish a more comprehensive index system.Practical implicationsThe index system constructed in this study will surely help relevant regulatory authorities in China to promote the construction of agricultural IOT traceability system and establish a unified standard, so as to provide a basis for future developers to enter the field. Accordingly, it also can help every subject to identify the key indices of each process in the agricultural-product supply chain and guide relevant departments to conduct targeted information tracking and management. The consumers could also understand the standards of traceable agricultural products and effectively protect their own rights and interests.Originality/valueThe existing literature does not provide an objective, unified standard for measuring a decentralized traceability system or identifying key processes. This study therefore proposes a new evaluation index system and uses a dynamic evaluation method to determine the importance of key indices. This study identifies the most important indices in each process, making it possible to discover, improve, and enhance the quality of agricultural products at a practical level.

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Section: Evaluation Of An Agricultural-product Traceability Systemmentioning

confidence: 99%

mentioning

confidence: 99%

Dynamic evaluation of a post-pandemic agricultural traceability system, based on the HFLTS-DEMATEL method

Xie

Zhang

2023

IJQRM

View full text Add to dashboard Cite

show abstract

Research to the information coding of agricultural products quality traceability

Cited by 1 publication

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Dynamic evaluation of a post-pandemic agricultural traceability system, based on the HFLTS-DEMATEL method

Dynamic evaluation of a post-pandemic agricultural traceability system, based on the HFLTS-DEMATEL method

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