Remote Sensing for Plant Nutrient Diagnosis
A special issue of Plants (ISSN 2223-7747).
Deadline for manuscript submissions: 30 October 2025 | Viewed by 82
Special Issue Editors
Interests: remote sensing for plant nutrient diagnosis; precision nutrient management
Interests: spatial analysis; geostatistical analysis; soil science; precision agriculture; weeds; sensed data; environmental geography
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Accurate plant nutrient diagnosis is essential for optimizing crop productivity, ensuring food security, and promoting sustainable agricultural practices, and traditional methods for assessing plant nutrients are often labor-intensive and time-consuming. Remote sensing technologies, including LiDAR and hyperspectral, multispectral, and thermal imaging, provide non-destructive, rapid, and scalable solutions for monitoring plant nutrient status at different spatial and temporal scales. This Special Issue focuses on recent advancements in remote sensing techniques for plant nutrient diagnosis, including innovative sensor applications, data fusion strategies, and machine learning approaches. Topics of interest include, but are not limited to, spectral indices for nutrient estimation, UAV-based nutrient mapping, canopy radiative transfer modeling, and the integration of satellite and proximal sensing data for plant nutrient diagnosis. Special emphasis is placed on addressing challenges such as environmental variability, the confounding effects of canopy vertical structure and chlorophyll content, and the development of robust calibration models for nutrient assessment. By bringing together cutting-edge research and technological innovations, this Special Issue aims to provide valuable insights into improving nutrient diagnosis for precision nutrient management and sustainable agriculture. We welcome original research articles, reviews, and case studies that contribute to advancing the role of remote sensing in plant nutrient diagnostics.
Dr. Jie Wang
Dr. Ruth Kerry
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
- remote sensing
- plant nutrient diagnosis
- hyper-/multi-spectral imaging
- UAV-based monitoring
- precision nutrient management
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