Imaging, Spectroscopy and Machine Learning for Agri-Food Quality Evaluation
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 33
Special Issue Editor
Interests: grain quality monitoring; photonics and spectroscopy; advanced imaging techniques; microstructural analysis; electronics and sensor technologies; advanced statistical data analysis; machine learning and deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in imaging, spectroscopy, and machine learning are revolutionizing how we monitor and assess the quality of agri-food products. These technologies enable rapid, non-destructive, and data-driven evaluation methods that can improve food safety, minimize postharvest losses, and optimize decision-making across the agricultural value chain.
This Special Issue, titled "Imaging, Spectroscopy and Machine Learning for Agri-Food Quality Evaluation", invites the submission of original research articles and reviews that highlight the development, application, and integration of these techniques within agri-food systems.
Topics of interest include, but are not limited to, the following:
- Imaging techniques (hyperspectral, multispectral, X-ray, terahertz, etc.) for agri-food quality assessments;
- Spectroscopic methods (NIR, Raman, FTIR, UV-Vis, etc.) for detecting quality attributes, spoilage, and contamination;
- Machine learning and artificial intelligence approaches for analyzing imaging and spectroscopy data;
- The development and application of hybrid sensing systems that combine multiple modalities;
- Smart sensing platforms for the real-time, in situ evaluation of agri-food products;
- The application of imaging and spectroscopy in smart farming, precision agriculture, postharvest management, and supply chain monitoring.
Dr. Mohammad Nadimi
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. Foods 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 2900 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
- imaging technologies
- hyperspectral imaging
- spectroscopy
- near-infrared spectroscopy (NIR)
- machine learning
- artificial intelligence
- agri-food quality
- non-destructive testing
- smart sensing
- postharvest quality monitoring
- food safety
- precision agriculture
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