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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 19

Special Issue Editors


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Guest Editor
Department of Information and Communication Engineering, Sunchon National University, Suncheon 57922, Republic of Korea
Interests: energy management; smart cattle shed; livestock disease; proximity UUID; big data

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Guest Editor
Department of Convergence Biosystems Mechanical Engineering, Sunchon National University, Suncheon 57922, Republic of Korea
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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital twin (DT)
  • IoT and AI systems
  • smart sensors
  • smart agriculture
  • precision agriculture

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Published Papers

This special issue is now open for submission.
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