Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture
Year: 2025
Type: article
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.
Source: Advanced Science
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,730
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, South China Botanical Garden, Chinese Academy of Sciences
OpenAlex ID: W4409794853