Advancements and Applications of Imaging and Hyperspectral Technologies in Non-Destructive Food Testing
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 75
Special Issue Editors
Interests: computer vision; food safety; hyperspectral imaging; aflatoxin detection; deep learning
Special Issue Information
Dear Colleagues,
Non-destructive testing is critical for ensuring food safety, quality, and sustainability while minimizing waste and preserving product integrity. Imaging and hyperspectral technologies, such as hyperspectral imaging (HSI), multispectral imaging (MSI), and advanced image processing algorithms, have emerged as powerful tools for rapid, accurate, and contactless analysis of food properties. This Special Issue is dedicated to exploring the advancements and extensive applications of imaging and hyperspectral technologies within the realm of non-destructive food testing. Topics of interest include, but are not limited to, the following: food safety monitoring, quality grading, defect detection, authenticity verification, and process optimization. We invite contributions that highlight innovative methodologies, case studies, and future perspectives on utilizing imaging and hyperspectral data for precise, rapid, and non-invasive food analysis. This issue aims to provide a comprehensive platform for researchers and industry professionals to explore the potential of these technologies in ensuring food safety, enhancing sustainability, and advancing the global food supply chain.
Dr. Zhongzhi Han
Dr. Limiao Deng
Guest Editors
Manuscript Submission Information
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Keywords
- image processing
- hyperspectral imaging
- non-destructive testing
- food quality
- food safety
- computer vision
- defect detection
- intelligent food inspection
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