Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture
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.
Authors
- Hui Cui (ORCID: https://orcid.org/0000-0002-5820-2233)
- Ming Luo (ORCID: https://orcid.org/0000-0002-6912-7638)
- Qibin Wu (ORCID: https://orcid.org/0000-0002-3600-7613)
- Md. Jalil Piran (ORCID: https://orcid.org/0000-0003-3229-6785)
- Xiaoding Wang (ORCID: https://orcid.org/0000-0002-0494-3538)
- Youxiong Que (ORCID: https://orcid.org/0000-0003-1111-5834)
- Xun Yi (ORCID: https://orcid.org/0000-0001-7351-5724)
- Xu Yang (ORCID: https://orcid.org/0000-0003-2735-2359)
- Haitao Zeng (ORCID: https://orcid.org/0009-0001-8268-4746)
Institutions
- Chinese Academy of Tropical Agricultural Sciences (CN)
- Fujian Normal University (CN)
- Chinese Academy of Sciences (CN)
- Sejong University (KR)
- Minjiang University (CN)
- South China Botanical Garden (CN)
- Ministry of Agriculture and Rural Affairs (CN)
- Monash University (AU)
- Fujian Agriculture and Forestry University (CN)
- RMIT University (AU)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1002/advs.202503102
- Citations
- 13
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 42.20
Funders
- Chinese Academy of Sciences
- Youth Innovation Promotion Association of the Chinese Academy of Sciences
- Chinese Academy of Tropical Agricultural Sciences
- National Key Research and Development Program of China
- Youth Innovation Promotion Association
- Science and Technology Major Project of Guangxi