Non-Destructive Quality Evaluation Methods for Foods
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Quality and Safety".
Deadline for manuscript submissions: 5 March 2025 | Viewed by 190
Special Issue Editors
Interests: processing of agricultural products; non-destructive detection; image identification; detection equipment; damage of agricultural products
Special Issues, Collections and Topics in MDPI journals
Interests: rice processing; agricultural product modeling; material analysis; parameter optimization; simulation design
Special Issues, Collections and Topics in MDPI journals
Interests: cereal; grain processing; discrete element method
Special Issue Information
Dear Colleagues,
The safety of foods and agro-products is directly related to human health and social stability and, as such, has long been the subject of great attention. Due to the large consumption of foods and agro-products, finding non-destructive large-scale quality evaluation methods for these products is an urgent problem, solved by emerging strategies such as spectral analysis and imaging and sensor technologies Although these technologies help improve productivity, reduce wastage, and optimize resource utilization, they still face many challenges in the large-scale non-destructive quality evaluation of foods and agro-products. Therefore, it is important to build on these existing technologies to reduce their technical complexity, control their usage costs, and improve their applicability and manoeuvrability in large-scale production environments.
This Special Issue analyses the principles and improvements in non-destructive quality evaluation methods, focusing also on the creation and application of new approaches. This issue will include interdisciplinary studies embracing agriculture, with disciplines ranging from biology to engineering and electronic information engineering. The research articles will cover various non-destructive quality evaluation methods such as near-infrared spectroscopy and machine vision technologies. All article types, including original research, opinion, and review articles, are welcome.
Dr. Yanlong Han
Prof. Dr. Anqi Li
Dr. Xiangyi Meng
Dr. Yawen Xiao
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. 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
- food and agro-product safety
- non-destructive quality evaluation
- non-destructive testing
- mass production
- spectral analysis
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