Blockchain-Empowered H-CPS Architecture for Smart Agriculture

Area of Science:

• Agricultural Technology
• Computer Science
• Supply Chain Management

Background:

• Modern agriculture faces challenges in productivity, sustainability, and supply chain transparency.
• Integrating advanced technologies like AI and IoT can address these issues but requires robust data management and security.
• Blockchain technology offers a decentralized and immutable ledger for secure data handling and transparent transactions.

Purpose of the Study:

• To propose a Human-Cyber-Physical System (H-CPS) architecture for smart agriculture.
• To integrate blockchain technology with AI, IoT, and remote sensing for enhanced agricultural applications.
• To develop a semantic-based blockchain framework for optimizing agricultural production and supply chains.

Main Methods:

• Development of a novel H-CPS architecture tailored for smart agriculture.
• Integration of blockchain with remote sensing, artificial intelligence (AI), and the Internet of Things (IoT).
• Introduction of a semantic-based blockchain framework for data management and AI model integration.

Main Results:

• Real-time crop management and data-driven decision-making capabilities.
• Enhanced traceability and transparent trading of agricultural products.
• Optimization of production, cost reduction, and improved financial security in agriculture.
• Demonstrated solutions for optimized irrigation, crop breeding, and supply chain transparency.

Conclusions:

• The proposed H-CPS architecture and semantic-based blockchain framework offer practical solutions for modern agriculture.
• The integration of these technologies significantly enhances agricultural productivity, sustainability, and global food security.
• Further research and collaboration are essential to fully realize the transformative potential of these innovations in agriculture.