Evidence map›Paper›PMID 36188708›Full record

ArticleComputational intelligence and neuroscience2022

Blockchain-Based Supply Chain System for Olive Fields Using WSNs.

Oussama Ghorbel, Tarek Frikha, Abir Hajji, Raed Alabdali, Rami Ayadi, Mohamed Abbas Elmasry

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Oussama GhorbelDepartment of Computer Science, Jouf University, Sakakah, AlQurayat Region, Saudi Arabia.ORCID https://orcid.org/0000-0003-4182-4914
Tarek FrikhaCES-Lab, Sfax University, Sfax, Tunisia.ORCID https://orcid.org/0000-0001-8402-8059
Abir HajjiGabes University, Gabes, Tunisia.
Raed AlabdaliDepartment of Computer Science, Jouf University, Sakakah, AlQurayat Region, Saudi Arabia.
Rami AyadiDepartment of Computer Science, Jouf University, Sakakah, AlQurayat Region, Saudi Arabia.ORCID https://orcid.org/0000-0003-1195-7062
Mohamed Abbas ElmasryNational Egyptian E-Leaning University (EELU), Giza, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The agricultural domain in developing countries is mostly dictated by archaic rules based on traditions and inherited practices. With the evolution of digitalization and technology, it seems essential to apply new technologies to the agricultural field. Among the technologies to be exploited in agriculture, we mention sensors, IoT, WSN, cloud, blockchain, etc. We talk about smart agriculture in this case. In this paper, we propose a platform secured by blockchain for monitoring and securing production. This platform uses IoT connected sensors to track and save data. Our system is used to monitor the production process of olive trees. The goal is to track everything that enters and leaves our olive tree production from fertilizers, insecticides, and fortifiers to olives, trimming etc. The blockchain via its decentralized system allow a secure, irreversible, and clear monitoring. A dashboard allow us to highlight the changes while facilitating the work of farmers. Our prototype will be embedded via a Raspberry Pi 4 platform.

Indexed as

BlockchainInsecticidesOleaFertilizersFertilizersInsecticides

Identifiers

PMID36188708
PMCPMC9525198

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.