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Hyperspectral Technology for Precision Plant and Food Analysis: Unveiling Chemical Composition and Quality Parameters

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Environmental Sensing".

Deadline for manuscript submissions: 15 November 2024 | Viewed by 154

Special Issue Editor

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Guest Editor
Department of Bioproducts and Biosystems Engineering, University of Minnesota, Saint Paul, MN 55108, USA
Interests: precision agriculture; UAV imaging; multispectral/hyperspectral imaging; optical spectroscopy; monitoring and quantifying crop physiology and stress; spectral analysis; advanced machine learning and signal processing; computer vision; electronic nose; postharvest physiology and technology

Special Issue Information

Dear Colleagues,

Over the past decade, hyperspectral imaging (HSI) has rapidly evolved into a widely adopted analytical technique across the food and agricultural sectors. Recent instrumentation advances have enabled the high-throughput collection of rich spectral data to be unparalleled by any other optical sensing method. The integration of hyper/multispectral imaging into moving platforms and production lines now permits the real-time, non-invasive evaluation of multiple quality parameters. From pre-harvest field phenotyping to postharvest packing facilities, hyperspectral analysis creates new paradigms for safety and quality management across the supply chain. This Special Issue spotlights the most innovative advancements in HSI technology and reveals its immense application potential for enhanced precision in plant and food systems.

This Special Issue welcomes original research articles, reviews, and technical notes focusing on the following key areas:

  1. Advances in hyperspectral sensors for field and postharvest applications;
    • New sensor designs, hardware integration, and deployment strategies for portability;
    • Enabling in-line, real-time analysis across the agri-food chain.
  2. Novel hyperspectral image acquisition and correction techniques;
    • Methods to improve spectral quality, eliminate noise, and enhance resolution.
  3. The development of robust spectroscopic calibration models;
    • Strategies for representative sampling and model transferability.
  4. Chemometrics for hyperspectral big data analytics;
    • Machine learning for predictive modeling and pattern recognition;
    • Strategies for handling high-dimensional spectral data.
  5. Data fusion platforms and decision support systems;
    • Integrating spectral data with spatial, temporal, and external data sets;
    • Real-time systems for supporting on-site decision making.
  6. The development of HSI-based precision agriculture practices for optimizing crop yield and quality;
    • Site-specific management based on spatially resolved crop status monitoring;
    • Early stress detection enabling timely intervention to maximize yields;
    • Estimating yield/quality attributes for selective harvesting and grading.
  7. Real-time monitoring systems for postharvest quality assurance;
    • The early detection of defects, contaminants, and disorders;
    • The non-destructive evaluation of maturity and shelf-life dynamics.

Dr. Alireza Sanaeifar
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at 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. Sensors 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 2600 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.


  • hyperspectral imaging
  • spectroscopy
  • chemometrics
  • precision agriculture
  • phenotyping
  • food quality
  • safety assessment
  • data fusion
  • sustainability

Published Papers

This special issue is now open for submission.
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