Digital Twin and AI-Enhanced Simulation in Agricultural Systems
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: 25 October 2026 | Viewed by 691
Special Issue Editors
Interests: modern agriculture; smart agriculture; digital twin; intelligent detection; IoT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital twin creates dynamic virtual models of farmland, crops, and environments through high-precision modeling and real-time data synchronization via the Internet of Things (IoT), achieving high-fidelity interaction between the physical and information worlds. On the other hand, artificial intelligence techniques, including machine learning and computer vision, deeply mine multi-source heterogeneous data to empower simulation systems with autonomous learning and dynamic optimization, supporting applications such as crop water and fertilizer demand prediction, pest and disease early warning, and precision fertilization. This Special Issue explores digital twin and AI-enhanced simulation in agriculture, including multi-scale modeling of digital twins, multi-technology fusion, intelligent decision-making, and visualized simulation management. This Special Issue aims to promote precision, efficiency, and sustainability in agricultural production processes and facilitate the transition from traditional agriculture to smart agriculture.
Dr. Min Dai
Dr. Ya Xiong
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 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access semimonthly journal published by MDPI.
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
- AI-enhanced simulation
- internet of things (IoT)
- machine learning and deep learning
- smart agriculture
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