Data-Driven and AI Approaches to Plant Systems Biology and Adaptation

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Systems and Synthetic Biology".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 30

Special Issue Editor

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the cutting-edge field of "Data-Driven and AI Approaches to Plant Systems Biology and Adaptation". With the rapid advancement of multi-omics technologies and artificial intelligence, data-driven methods have become core tools for deciphering complex plant regulatory networks and exploring environmental adaptation mechanisms. We aim to collect interdisciplinary research findings covering areas such as AI-aided multi-omics data integration, plant phenotype prediction, stress resistance mechanism analysis, and smart breeding. This Special Issue will provide a communication platform to promote technological innovation and translational research in plant adaptation studies, facilitating the cultivation of climate-resilient crop varieties to address global agricultural challenges.

Prof. Dr. Ming Chen
Guest Editor

Manuscript Submission Information

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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 2700 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

  • data-driven botany
  • artificial intelligence
  • plant systems biology
  • environmental adaptation
  • multi-omics integration
  • crop stress resistance

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Published Papers

This special issue is now open for submission.
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