Special Issue "Applications of Hyperspectral Imaging for Food and Agriculture"
Deadline for manuscript submissions: closed (15 December 2016)
Dr. Kuanglin Kevin Chao
Combining the advantages of conventional spectroscopy and imaging techniques, hyperspectral imaging can acquire highly-detailed spatial and spectral information across large (non-microscopic) areas. The many forms of hyperspectral implementation—e.g., visible, near- and mid-infrared, fluorescence, Raman scattering, etc.—produce high-resolution three-dimensional data suitable for non-destructive sample analysis for a vast array of purposes that may even be simultaneously performed. Technological advances have made hyperspectral imaging easier to implement for a variety of research and industry environments, with greater speeds, higher throughputs, and/or larger imaging areas than ever before possible. Consequently, there is tremendous interest in hyperspectral and multispectral imaging for non-destructive evaluation of foods and agricultural products for safety, quality, and authentication concerns.
The upcoming Special Issue of Applied Sciences will focus on recent developments in hyperspectral and multispectral imaging and analysis that target quality and safety issues for food and agricultural commodities, adulteration and authentication issues for foods and food ingredients, and advances in hardware and instrumentation, methodology, and practical implementation for hyperspectral analysis of food materials. We would like to invite you to submit or recommend original research papers for the “Applications of Hyperspectral Imaging for Food and Agriculture” Special Issue.
Dr. Kuanglin Chao (Kevin Chao)
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 papers will be 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. Applied Sciences is an international peer-reviewed open access monthly 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 1200 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.
- chemical imaging
- contaminant detection
- food quality
- food safety
- ingredient authentication
- multispectral imaging
- nondestructive sensing
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Line-Scan Hyperspectral Imaging Techniques for Food and Agricultural Applications
Author: Jianwei Qin
Affiliation: USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, 10300 Baltimore Ave., Beltsville, MD 20705, USA; Phone: 1–301–504–8450 ext. 244; email@example.com
Abstract: Hyperspectral imaging technologies have been evolved rapidly during the past decade owing to tremendous interest from both academic and industrial fields. Line-scan hyperspectral imaging is a major method that has been intensively researched in different physical principles and wavelength regions, such as visible (VIS), near infrared (NIR), short-wavelength infrared (SWIR), fluorescence, and Raman. Line-scan hyperspectral imaging systems are mainly developed and used for surface inspection of food and agricultural products using area or line light sources. The line-scan systems can also be configured for subsurface food inspection using point light sources. This paper reviews line-scan hyperspectral imaging techniques, with introduction, demonstration, and summarization of existing techniques for food and agricultural applications. The main topics include image acquisition methods, imaging system components, system calibration methods, and image analysis techniques. The applications in the food and agricultural area are also presented to reflect current practices of the line-scan hyperspectral imaging techniques.