Evidence map›Paper›PMID 35890833›Full record

ArticleSensors (Basel, Switzerland)2022

Blockchain Token-Based Wild-Simulated Ginseng Quality Management Method.

Youngjun Sung, Sunghyun Yu, Yoojae Won

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Youngjun SungCyber Security Laboratory, Department of Computer Engineering, Chungnam National University, Daejeon 34134, Korea.ORCID 0000-0003-4204-870X
Sunghyun YuCyber Security Laboratory, Department of Computer Engineering, Chungnam National University, Daejeon 34134, Korea.ORCID 0000-0001-6616-2713
Yoojae WonCyber Security Laboratory, Department of Computer Engineering, Chungnam National University, Daejeon 34134, Korea.

Funding

Chungnam National University 2020-0517-01
6 · The paper itself

Abstract

Countries require measures to prevent food fraud, such as forgery of certificates or content change during production, which can occur throughout the supply chain, even if they have a certification system for quality food management. Therefore, there are recent cases of the introduction of blockchain tokens for quality and supply chain management; however, there are difficulties in introducing tokens in food fields, such as forest and agricultural products. To introduce tokens in the food sector, we selected wild-simulated ginseng, subject to quality management in Korea, analyzed the quality management process of wild-simulated ginseng, and selected the target for blockchain token introduction. We then identified potential token-related issues from consumers and suggested possible solutions.

Indexed as

BlockchainPanaxRepublic of Koreablockchainblockchain tokenquality managementsmart contract

Identifiers

PMID35890833
PMCPMC9323679

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.