Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture
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 agr...
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| Format: | Article |
| Language: | English |
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Wiley
2025-07-01
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| Series: | Advanced Science |
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| Online Access: | https://doi.org/10.1002/advs.202503102 |
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| author | Xiaoding Wang Qibin Wu Haitao Zeng Xu Yang Hui Cui Xun Yi Md. Jalil Piran Ming Luo Youxiong Que |
| author_facet | Xiaoding Wang Qibin Wu Haitao Zeng Xu Yang Hui Cui Xun Yi Md. Jalil Piran Ming Luo Youxiong Que |
| author_sort | Xiaoding Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b6b740819e6d424ca93b3d5e700c0b1c |
| institution | Matheson Library |
| issn | 2198-3844 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj-art-b6b740819e6d424ca93b3d5e700c0b1c2025-07-17T11:30:46ZengWileyAdvanced Science2198-38442025-07-011227n/an/a10.1002/advs.202503102Blockchain‐Empowered H‐CPS Architecture for Smart AgricultureXiaoding Wang0Qibin Wu1Haitao Zeng2Xu Yang3Hui Cui4Xun Yi5Md. Jalil Piran6Ming Luo7Youxiong Que8National Key Laboratory for Tropical Crop Breeding Institute of Tropical Bioscience and Biotechnology Sanya Research Institute Chinese Academy of Tropical Agricultural Sciences Sanya Hainan 572024 ChinaNational Key Laboratory for Tropical Crop Breeding Institute of Tropical Bioscience and Biotechnology Sanya Research Institute Chinese Academy of Tropical Agricultural Sciences Sanya Hainan 572024 ChinaFujian Provincial Key Lab of Network Security and Cryptology College of Computer and Cyber Security Fujian Normal University Fuzhou Fujian 350117 ChinaCollege of Computer and Data Science Minjiang University Fuzhou Fujian 350108 ChinaDepartment of Software Systems & Cybersecurity Monash University Melbourne VIC 3800 AustraliaSchool of Computing Technologies RMIT University Melbourne VIC 3000 AustraliaDepartment of Computer Science and Engineering Sejong University Seoul 05006 South KoreaState Key Laboratory of Plant Diversity and Specialty Crops South China Botanical Garden Chinese Academy of Sciences Guangzhou 510650 ChinaNational Key Laboratory for Tropical Crop Breeding Institute of Tropical Bioscience and Biotechnology Sanya Research Institute Chinese Academy of Tropical Agricultural Sciences Sanya Hainan 572024 ChinaAbstract 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.https://doi.org/10.1002/advs.202503102blockchainhuman‐cyber‐physical systemsprospectsemantic blockchainsmart agriculture |
| spellingShingle | Xiaoding Wang Qibin Wu Haitao Zeng Xu Yang Hui Cui Xun Yi Md. Jalil Piran Ming Luo Youxiong Que Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture Advanced Science blockchain human‐cyber‐physical systems prospect semantic blockchain smart agriculture |
| title | Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture |
| title_full | Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture |
| title_fullStr | Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture |
| title_full_unstemmed | Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture |
| title_short | Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture |
| title_sort | blockchain empowered h cps architecture for smart agriculture |
| topic | blockchain human‐cyber‐physical systems prospect semantic blockchain smart agriculture |
| url | https://doi.org/10.1002/advs.202503102 |
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