Evidence map›Paper›PMID 42115703›Full record

ArticleScientific reports2026

RiceBlock-0.2: secured precision rice farming framework using blockchain technology.

Bello Musa Yakubu, Abdullah Alabdulatif, Chang Ge, Pattarasinee Bhattarakosol

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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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

4 authors.

Bello Musa YakubuDepartment of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.ORCID http://orcid.org/0000-0002-2925-0607
Abdullah AlabdulatifDepartment of Cybersecurity, College of Computer, Qassim University, Buraydah, 52571, Saudi Arabia.ORCID http://orcid.org/0000-0002-4400-5140
Chang GeDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, 55455, United States.
Pattarasinee BhattarakosolDepartment of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand. pattarasinee.b@chula.ac.th.ORCID http://orcid.org/0000-0002-9938-028X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of Internet of Things (IoT), blockchain, and artificial intelligence (AI) holds great promise for precision agriculture, yet challenges remain in secure data acquisition, authenticated device interactions, and transparent decision-making. This paper presents RiceBlock, a blockchain-IoT framework that secures environmental data collection and automates agronomic decisions for precision rice farming. SHA-256 hashing and AES-256-GCM encryption were employed in the framework to ensure data integrity and confidentiality. In addition, mutual authentication between sensor nodes, cluster heads (CHs), and user mobile devices (UMDs) is achieved via Ethereum digital signatures and timestamp verification. A set of Solidity smart contracts including [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text] were used in the system to govern device identity, data provenance, and rule‑based AI decisions under Proof‑of‑Authority (PoA) consensus. The system was evaluated on a testbed of 20 sensors across five zones, generating 3000 transaction records. RiceBlock achieves a mean transaction latency of 5.73 s, throughput of 22 tx/s, and an authentication success rate of 98.2%, with low false-acceptance (1.8%) and equal-error (2.1%) rates. Decision accuracy is confirmed by an F1-score of 0.93 and a ROC-AUC of 0.96, demonstrating resilience to replay and forgery attacks. The framework provides a scalable, privacy-preserving architecture that bridges blockchain-based trust with actionable AI-driven agricultural intelligence.

Indexed as

Agronomic decision automationBlockchain-enabled precision agricultureDecentralized agricultural systemsIoT-based smart farmingPrivacy-preserving data managementSecure multi-sensor authenticationStage-aware smart contracts

Identifiers

PMID42115703
PMCPMC13350987

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.