Advanced Remote Sensing and AI Techniques in Agriculture and Forestry
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 317
Special Issue Editors
Interests: deep learning; agricultural robots; precision agriculture; computer vision; automation; high-throughput plant phenotyping
Interests: remote sensing; ecological monitoring; biodiversity and species distribution; object detection; land cover classification; statistical modeling and simulation
Special Issue Information
Dear Colleagues,
The rapid advancement of artificial intelligence (AI), computer vision, and remote sensing technologies has opened new frontiers for plant research in both agricultural and forestry systems. These tools enable intelligent, scalable, and data-driven solutions for understanding vegetation dynamics, determining plant conditions, and optimizing resource management.
This Special Issue aims to provide a comprehensive platform for cutting-edge research that explores advanced AI and remote sensing technologies for plant monitoring, analysis, and decision support. While studies employing remote sensing, UAV, or multispectral imaging are highly encouraged, submissions are not limited to sensing-based approaches. Contributions focusing purely on algorithmic innovation, such as model optimization, lightweight architecture design, and novel learning strategies, are equally welcome.
The scope of this Special Issue includes, but is not limited to, algorithm development and applications for target detection, classification, and segmentation in agricultural and forestry contexts. Topics may also cover disease and pest identification, fruit detection and maturity assessment, yield estimation, vegetation mapping, species distribution, and stress diagnosis. By bridging theoretical advancement with practical implementation, this Special Issue seeks to promote the next generation of intelligent, efficient, and sustainable solutions for precision agriculture and forestry management.
Dr. Rui-Feng Wang
Dr. Kangning Cui
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. 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
- artificial intelligence
- computer vision
- remote sensing
- unmanned aerial vehicle (UAV)
- precision agriculture
- forestry monitoring
- deep learning
- machine learning
- object detection
- image classification
- image segmentation
- plant disease and pest recognition
- fruit and maturity assessment
- yield estimation
- vegetation mapping and stress analysis
- lightweight network architecture
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
