Evidence map›Paper›PMID 40279531›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Blockchain-Empowered H-CPS Architecture for Smart Agriculture.

Xiaoding Wang, Qibin Wu, Haitao Zeng, Xu Yang, Hui Cui, Xun Yi, Md Jalil Piran, Ming Luo, Youxiong Que

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Blockchain-Empowered H-CPS Architecture for Smart Agriculture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Review
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

9 authors.

Xiaoding WangNational Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, 572024, China.ORCID https://orcid.org/0000-0002-0494-3538
Qibin WuNational Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, 572024, China.ORCID https://orcid.org/0000-0002-3600-7613
Haitao ZengFujian Provincial Key Lab of Network Security and Cryptology, College of Computer and Cyber Security, Fujian Normal University, Fuzhou, Fujian, 350117, China.ORCID https://orcid.org/0009-0001-8268-4746
Xu YangCollege of Computer and Data Science, Minjiang University, Fuzhou, Fujian, 350108, China.ORCID https://orcid.org/0000-0003-2735-2359
Hui CuiDepartment of Software Systems & Cybersecurity, Monash University, Melbourne, VIC, 3800, Australia.ORCID https://orcid.org/0000-0002-5820-2233
Xun YiSchool of Computing Technologies, RMIT University, Melbourne, VIC, 3000, Australia.ORCID https://orcid.org/0000-0001-7351-5724
Md Jalil PiranDepartment of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea.ORCID https://orcid.org/0000-0003-3229-6785
Ming LuoState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.ORCID https://orcid.org/0000-0002-6912-7638
Youxiong QueNational Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, 572024, China.ORCID https://orcid.org/0000-0003-1111-5834

Funding

Central Public-interest Scientific Institution Basal Research Fund 1630052024003Central Public-interest Scientific Institution Basal Research Fund 1630052024020China Agriculture Research System of MOF and MARA CARS-17Chinese Academy of Tropical Agricultural Sciences for Science and Technology Innovation Team of National Tropical Agricultural Science Center CATASCXTD202402Guangdong Natural Science Funds for Distinguished Young Scholars 2022B1515020026National Key Research and Development Program of China 2022YFD2301100Project of National Key Laboratory for Tropical Crop Breeding NKLTCBCXTD24Project of National Key Laboratory for Tropical Crop Breeding NKLTCB-HZ04Project of National Key Laboratory for Tropical Crop Breeding NKLTCB-RC202401Science and Technology Major Project of Guangxi GuikeAA23073001South China Botanical Garden, Chinese Academy of Sciences QNXM-02Youth Innovation Promotion Association, Chinese Academy of Sciences Y2021094
6 · The paper itself

Abstract

This study integrates blockchain technology into smart agriculture to enhance its productivity and sustainability. By combining blockchain with remote sensing, artificial intelligence (AI), and the Internet of Things (IoT), a Human-Cyber-Physical System (H-CPS) architecture tailored for agricultural applications is proposed. It supports real-time crop management, data-driven decision-making, and transparent trading of agricultural products. A semantic-based blockchain framework is introduced to address challenges in data management and AI model integration, optimizing production, improving traceability, reducing costs, and enhancing financial security. This framework directly addresses real-world agricultural challenges, such as optimized irrigation, improved crop breeding efficiency, and enhanced supply chain transparency. These innovations provide practical solutions for modern agriculture, contributing to sustainable development and global food security. Further research and collaboration are encouraged to unlock its full potential in transforming agricultural practices.

Indexed as

AgricultureArtificial IntelligenceBlockchainRemote Sensing TechnologyCrops, AgriculturalHumansInternet of Thingsblockchainhuman‐cyber‐physical systemsprospectsemantic blockchainsmart agriculture

Identifiers

PMID40279531
PMCPMC12279166

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.