Advanced Intelligent Detection and Processing Technology and Equipment for Food Safety and Quality
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Engineering and Technology".
Deadline for manuscript submissions: 31 December 2025
Special Issue Editors
Interests: food processing and engineering
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: processing of agricultural products; non-destructive detection; image identification; detection equipment; damage of agricultural products
Special Issues, Collections and Topics in MDPI journals
Interests: sustainable agriculture; fruit quality; non-destructive detection; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The escalating global demand for food and agricultural products, coupled with rising quality expectations, has driven the need for advanced food processing and detection technologies. While innovative methodologies—including the numerical optimization of food processing, spectral imaging, and sensor networks—demonstrate potential for enhancing productivity and reducing waste, persistent challenges remain in their scalability, cost-effectiveness, and operational robustness. Future research should prioritize the simplification of system complexity and the improvement of deployability in commercial production environments.
This Special Issue seeks original research on advanced processing technologies enhancing food quality, as well as novel analytical methods and chemometric approaches for safety monitoring and quality assessment. Contributions may include (but are not limited to) the following: emerging food processing techniques for quality improvement; innovative detection strategies and data analysis methods for safety inspection; and predictive modeling, process control, optimization, and AI/ML applications in food systems. The research articles in this Special Issue will cover various non-destructive quality evaluation methods and processing technologies and equipment for enhanced food quality such as near-infrared spectroscopy and machine vision technologies. All article types, including original research, opinion, and review articles, are welcome.
Dr. Yawen Xiao
Prof. Dr. Anqi Li
Dr. Yanlong Han
Dr. Yang Liu
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 processing
- food quality
- food quality monitoring and control
- sensors, biosensors, and nanobiosensors
- rapid and non-destructive testing
- simulation, control, optimization, and machine learning
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