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Optical and Spectral Sensing for Biological and Agricultural Products Detection Applications
This special issue belongs to the section “Optical Sensors“.
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to an upcoming Special Issue of Sensors, which will focus on recent advances and applications of optical and spectral sensing technologies for the detection, monitoring, and characterization of biological and agricultural products.
With the increasing automation of the food and agriculture sectors, there is a growing demand for reliable quality control systems and continuous monitoring tools to ensure safety, efficiency, and sustainability throughout the food supply chain. As a result, precise, non-destructive, and real-time analytical methods based on optical and spectral sensors have become essential for assessing product quality, safety, and environmental conditions.
In addition to traditional analytical techniques, this Special Issue will place particular emphasis on modern data-driven methods—especially those leveraging machine learning—for the processing, interpretation, and optimization of spectral data. We welcome original research articles, comprehensive reviews, and application-oriented studies that integrate both classical and computational approaches.
Topics of Interest include (but are not limited to) the following:
- Optical and spectral sensors for biological and agricultural product analysis;
- Infrared, Raman, and fluorescence spectroscopy applications;
- Imaging and hyperspectral sensing systems;
- Machine learning and AI-based spectral data analysis;
- Non-destructive quality and safety assessment;
- Portable and real-time optical sensing devices;
- Data fusion and multimodal sensing approaches;
- Sensor calibration, validation, and uncertainty estimation.
We believe that this Special Issue will provide a valuable platform for exchanging the latest scientific insights and technological innovations, while fostering collaboration among researchers and professionals in optics, spectroscopy, data science, and agricultural technology.
We warmly invite you to submit your contributions and join us in advancing research in this dynamic and rapidly evolving field.
Dr. Pawel Marc
Dr. Anna Pakuła
Dr. Sławomir Paśko
Dr. Olimpia Kursa
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. 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.
Keywords
- optical sensing
- spectral analysis
- hyperspectral imaging
- machine learning
- non-destructive testing
- food and agricultural monitoring
- infrared and Raman spectroscopy
- real-time sensing
- data fusion
- sensor calibration
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