Digital Twin-Based Smart Agriculture
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 15 March 2026 | Viewed by 70
Special Issue Editors
Interests: energy management; smart cattle shed; livestock disease; proximity UUID; big data
Interests: ICT convergence; wireless sensor network; computer networking; wireless communications; agricultural engineering; AI; cloud computing
Special Issue Information
Dear Colleagues,
The integration of digital twin (DT) technology into smart agriculture is revolutionizing how farming systems are designed, monitored, and optimized. By creating dynamic virtual replicas of physical agricultural assets and processes, digital twins enable real-time data analysis, predictive modeling, and decision-making support to enhance productivity, resource efficiency, and sustainability. This Special Issue invites original research articles, reviews, and case studies that explore the development, application, and future prospects of digital twin technologies in agriculture. Topics of interest include, but are not limited to, DT architectures for crop and livestock management, integration with IoT and AI systems, simulation of farming scenarios, precision agriculture applications, and challenges in data interoperability and system scalability. Contributions addressing the socio-economic and environmental impacts of digital twin adoption in agriculture are also highly encouraged. We aim to highlight cutting-edge research that advances the theoretical foundations, technological innovations, and practical applications of digital twin-based smart farming. We welcome submissions from academic researchers, industry practitioners, and policymakers alike.
Prof. Dr. Hyun Yoe
Dr. Meonghun Lee
Guest Editors
Manuscript Submission Information
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Keywords
- digital twin (DT)
- IoT and AI systems
- smart sensors
- smart agriculture
- precision agriculture
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