Application of Optical and Imaging Systems to Plants
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 264
Special Issue Editor
Interests: infrared imaging for precision agriculture; thermography for NDT; optical and imaging systems; spectral characterizations; nanostructures for sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, the application of optical and imaging systems has revolutionized plant science, providing researchers and scholars with powerful tools to explore the structure, function, and behavior of plants and crops. These technologies have become essential in addressing critical challenges in agriculture, plant biology, and environmental monitoring. By enabling precise, non-invasive, and high-throughput measurements, optical and imaging techniques facilitate a deeper understanding of plant physiology, stress responses, growth patterns, and interactions with the environment. The development of advanced optical systems, including hyperspectral imaging, infrared thermography, Raman spectroscopy, and lidar, has opened new possibilities for detecting subtle changes in plant health, diagnosing diseases, and monitoring crop yields. These tools also play a pivotal role in precision agriculture, where real-time data acquisition and analysis drive sustainable farming practices and optimize resource use.
This Special Issue aims to highlight the latest advancements, innovations, and applications of these technologies in the study of plants and crops. By fostering interdisciplinary collaboration among researchers in optics, imaging, and plant sciences, this issue seeks to inspire novel approaches to tackling global challenges such as sustainable agriculture, food security, and ecosystem preservation. We welcome original articles, reviews, and short communications focusing on fundamental or applied research related to the use of optical, spectrophotometric, and imaging techniques for the analysis, monitoring and sensing of plants and crops. We also seek contributions pertaining to applications in passive or active approaches, realized on the proximal or remote scale (e.g., with UAV systems), in laboratory or field studies. Additionally, we aim to cover spectral scales from UV to LWIR through multi- and hyperspectral applications.
Dr. Massimo Rippa
Guest Editor
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
- optical systems
- spectrophotometry
- infrared imaging
- thermography
- active thermography
- passive thermography
- sensing
- UV radiation
- plants
- crops
- remote sensing
- proximal sensing
- precision agriculture
- multispectral imaging
- hyperspectral imaging
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