Application of Hyperspectral Imaging for Plants

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".

Deadline for manuscript submissions: 31 January 2027 | Viewed by 101

Editors


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Guest Editor
Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
Interests: plant phenotyping; hyperspectral imaging; aquaculture; leaf area index

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Guest Editor
College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Interests: machine vision; precision agriculture
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Special Issue Information

Dear Colleagues,

This Special Issue focuses on the application of hyperspectral imaging for advancing plant science. Hyperspectral imaging captures continuous spectral information across hundreds of narrow bands, enabling non‑destructive, spatially resolved analysis of plant biochemical, physiological and morphological traits. Contributions are invited on high‑throughput phenotyping for growth and yield prediction, early detection of biotic (pathogens, arthropod pests) and abiotic (drought, salinity, temperature) stresses, assessment of nutrient and water status and evaluation of crop quality. Methodological topics include novel hyperspectral imaging instrumentation, spectral preprocessing, machine learning for feature extraction and integration with other sensors (e.g., LiDAR, thermal imaging). Studies addressing scalability from leaf to canopy levels, field‑based or greenhouse deployments and practical applications in precision agriculture, breeding and ecological monitoring are particularly welcome. By bridging spectral complexity with plant biology, this issue aims to showcase hyperspectral imaging as a transformative tool for sustainable plant research.

Dr. Dawei Sun
Dr. Haiyong Weng
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-anonymized 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

  • hyperspectral imaging
  • plant phenotyping
  • stress detection
  • non-destructive analysis
  • spectral reflectance
  • precision agriculture
  • machine learning
  • canopy monitoring
  • nutrient assessment
  • disease diagnosis

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Published Papers

This special issue is now open for submission.
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