Evidence map›Paper›PMID 37685168›Full record

ArticleFoods (Basel, Switzerland)2023

A Blockchain-Based Traceability Model for Grain and Oil Food Supply Chain.

Yuan Zhang, Xuyang Wu, Hongyi Ge, Yuying Jiang, Zhenyu Sun, Xiaodi Ji, Zhiyuan Jia, Guangyuan Cui

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Yuan ZhangKey Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.
Xuyang WuKey Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.
Hongyi GeKey Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.
Yuying JiangKey Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.ORCID 0000-0002-4645-824X
Zhenyu SunKey Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.
Xiaodi JiKey Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.
Zhiyuan JiaKey Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.
Guangyuan CuiKey Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.

Funding

Innovative Funds Plan of Henan University of Technology No.2021ZKCJ04Key Science and Technology Program of Henan Province (No.222102110246Key Science and Technology Program of Henan Province No.222103810072Major Public Welfare Special Projects in Henan Province No.201300210100Natural Science Foundation of Henan No.222300420040Open Fund Project of Key Laboratory of Grain Information Processing & Control, Ministry of Ed-ucation, Henan University of Technology No.KFJJ2020103Open Fund Project of Key Laboratory of Grain Information Processing & Control, Ministry of Ed-ucation, Henan University of Technology No.KFJJ2021102Program for Science & Technology Innovation Talents in Universities of Henan Province No.22HASTIT017Program for Science & Technology Innovation Talents in Universities of Henan Province No.23HASTIT024The National Natural Science Foundation of China No.61975053The National Natural Science Foundation of China No. 62271191
6 · The paper itself

Abstract

The structure of the grain-and-oil-food-supply chain has the characteristics of complexity, cross-regionality, a long cycle, and numerous participants, making it difficult to maintain the safety of supply. In recent years, some phenomena have emerged in the field of grain procurement and sale, such as topping the new with the old, rotating grains, the pressure of grades and prices, and counterfeit oil food, which have seriously threatened grain-and-oil-food security. Blockchain technology has the advantage of decentralization and non-tampering Therefore, this study analyzes the characteristics of traceability data in the grain-and-oil-food-supply chain, and presents a blockchain-based traceability model for the grain-and-oil-food-supply chain. Firstly, a new method combining blockchain and machine learning is proposed to enhance the authenticity and reliability of blockchain source data by constructing anomalous data-processing models. In addition, a lightweight blockchain-storage method and a data-recovery mechanism are proposed to reduce the pressure on supply-chain-data storage and improve fault tolerance. The results indicate that the average query delay of public data is 0.42 s, the average query delay of private data is 0.88 s, and the average data-recovery delay is 1.2 s. Finally, a blockchain-based grain-and-oil-food-supply-chain traceability system is designed and built using Hyperledger Fabric. Compared with the existing grain-and-oil-food-supply chain, the model constructed achieves multi-source heterogeneous data uploading, lightweight storage, data recovery, and traceability in the supply chain, which are of great significance for ensuring the safety of grain-and-oil food in China.

Indexed as

blockchaindata recoverygrain and oil foodmachine learningsupply chain

Identifiers

PMID37685168
PMCPMC10486922

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LicenceCC BY
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Registered trials

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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.