Advances in Artificial Intelligence for Plant Research
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".
Deadline for manuscript submissions: 20 April 2025 | Viewed by 46
Special Issue Editors
Interests: artificial intelligence; computer vision; plant phenotyping; precision agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: robotics sensing; decision support systems; climate-smart agriculture; precision agriculture; intelligent robotics
Interests: pest management; biocontrol; smart agriculture; deep learning; image recognition
Special Issue Information
Dear Colleagues,
Rapid advances in artificial intelligence offer a transformative solution for botanical research that promises to revolutionize crop management, disease prediction, precision agriculture, and sustainable ecosystem management. This topic will focus on the latest advances, challenges, and opportunities in artificial intelligence in the field of plant research, promoting interdisciplinary collaboration and driving significant advances in plant science. Specific research topics include, but are not limited to, the following:
- Plant phenotype analysis: the application of computer vision and machine learning technology to identify and analyze the morphological characteristics and growth state of plants.
- Plant disease detection and prediction: using AI technology to predict and identify plant diseases to improve early warning and management efficiency.
- Crop management and optimization: combining data analytics and AI algorithms to optimize fertilization, irrigation, and other agricultural practices to improve crop yield and quality.
- Plant genomics and genetic research: using AI-assisted genome analysis and genetic algorithms to accelerate plant genetic improvement and new variety development.
- Environmental monitoring and adaptation: using AI to monitor the impact of environmental factors on plant growth and help develop plant varieties that adapt to different climatic conditions.
- Agricultural robots and automation: studying the application of AI-driven agricultural robots in seeding, picking, and weed control to improve the efficiency of agricultural operations.
Dr. Guoxiong Zhou
Dr. Liujun Li
Dr. Xiaoyulong Chen
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.
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. Plants 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 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
- plant research
- artificial intelligence
- phenotype analysis
- disease detection
- crop management and optimization
- agricultural robots
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