Hyperspectral and Spectroscopy Imaging in Food Technology

Dear Colleagues,

Ensuring the quality and safety of food products is expected by consumers, especially for highly perishable food commodities (e.g., freshly ground meat). Food products’ quality and safety control must be accurate and efficient to meet consumers’ increasing expectations and standards, which in turn results in more demanding and labour-intensive processes. In addition, the increasing demand for food due to the increase in the world population, especially in some developing countries, has made it even more challenging to ensure food quality and safety control processes.

The progress over recent decades in sensors technology and Artificial Intelligence, particularly in machine learning and computer vision, has enabled the development of solutions for automatic quality and authenticity assessment of food products, like meat and fish, dairy products, food powders or oil. Such technological solutions allow the quick and low-cost assessment of the quality of food products without the need for time-consuming lab-based analysis and without the need for expert/specialised staff, which in any case can lead to human errors. It also allows solutions for the authentication assessment of food products.

The purpose of this Special Issue is to publish high-quality research papers as well as review papers that address recent advancements in hyperspectral imaging and in spectroscopy imaging techniques in food technology, including food quality and food safety assessment.

Potential topics include, but are not limited to:

• Hyperspectral imaging algorithms for food technology;
• Spectroscopy imaging algorithms for food technology;
• Food quality assessment using imaging and machine learning;
• Food safety, traceability or authentication using imaging and machine learning;
• Food imaging datasets.

Dr. Iosif Mporas
Prof. Dr. Yimin Zhang
Prof. Dr. George-John E. Nychas
Guest Editors

Manuscript Submission Information

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