Evidence map›Paper›PMID 39583833›Full record

ArticleHeliyon2024

Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing.

Mohammad Rifat Ahmmad Rashid, Mahamudul Hasan, Md Ariful Islam, Syeda Tasfia Tasnim, Rawnak Jahan Taifa, Sraboni Mahbub, Nafees Mansoor, Md Sawkat Ali, Taskeed Jabid, Maheen Islam and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

11 authors.

Mohammad Rifat Ahmmad RashidDepartment of Computer Science and Engineering, East West University, Bangladesh.
Mahamudul HasanDepartment of Computer Science and Engineering, East West University, Bangladesh.
Md Ariful IslamDepartment of Computer Science and Engineering, East West University, Bangladesh.
Syeda Tasfia TasnimDepartment of Computer Science and Engineering, East West University, Bangladesh.
Rawnak Jahan TaifaDepartment of Computer Science and Engineering, University of Liberal Arts, Bangladesh.
Sraboni MahbubDepartment of Computer Science and Engineering, East West University, Bangladesh.
Nafees MansoorDepartment of Computer Science and Engineering, University of Liberal Arts, Bangladesh.
Md Sawkat AliDepartment of Computer Science and Engineering, East West University, Bangladesh.
Taskeed JabidDepartment of Computer Science and Engineering, East West University, Bangladesh.
Maheen IslamDepartment of Computer Science and Engineering, East West University, Bangladesh.
Mohammad Manzurul IslamDepartment of Computer Science and Engineering, East West University, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The agricultural sector is a vital component of Bangladesh's economy, but its agri-food supply chain faces signifi-cant inefficiencies primarily due to the involvement of numerous intermediaries. This complexity not only reduces the profits for farmers but also affects the overall transparency and efficiency of the supply chain. This study aims to em-ploy blockchain technology to transform the traditional agri-food supply chain in Bangladesh, focusing on increasing transparency, enhancing efficiency, and improving profitability for farmers, thus potentially bolstering the entire agri-food ecosystem in the country. The research involves setting up a blockchain-based smart contract on the Ethereum Blockchain network. This approach guarantees that all transactions within the agri-food supply chain are transparent, traceable, and accountable. Additionally, the study develops a web application to facilitate user interaction with the smart contract, enhancing accessibility and usability. Performance analysis and testing of the implemented smart con-tract demonstrate its capability to handle a significant volume of transactions without compromising on performance. The solution effectively reduces the dependency on intermediaries, thereby increasing the profit margins for the farm-ers involved. The integration of blockchain technology in the agri-food supply chain has shown promising results in enhancing transparency and efficiency. It lays a solid foundation for future improvements and suggests a scalable model that could be applied to other sectors within the country to further enhance agricultural practices and economic growth.

Indexed as

Agri-food value chainBlockchainDappsEthereumSmart contractTraceability

Identifiers

PMID39583833
PMCPMC11582413

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.