Recent Advances in Spectral Imaging Systems and Techniques for Food and Agriculture Applications
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: closed (31 May 2019)
Special Issue Editor
Interests: hyperspectral imaging; spectral imaging; real-time machine vision; non-destructive sensing; artificial intelligence; big image data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Spectral imaging is a non-destructive optical imaging modality that combines digital imaging and spectroscopy such that every image pixel provides spectral information measured from the interaction of light with matter. The wavelength range of spectral imaging often goes beyond what traditional color imaging can provide. Commonly also known as hyperspectral imaging or multispectral imaging, spectral imaging has found numerous applications in the fields of food and agriculture, from basic research to industrial applications, from chemometrics to big data analytics, from microbial sensing to crop production monitoring, from portable systems to airborne drones, and so on. In the era of industry 4.0, the advent of smart farming and smart manufacturing in the agriculture and food industries will even broaden and deepen the conventional thinking and perspectives about spectral imaging and its applications. For example, recent developments in software and hardware for big data analytics and internet-of-things (IoT) may produce a large spectral image library that can be used together with both chemometric and deep learning tools. The intent of the “Recent Advances in Spectral Imaging Systems and Techniques for Food and Agriculture Applications” Special Issue is to present a snapshot of recent developments in the basic and applied research in the field of spectral imaging for food and agriculture applications by covering a range of technical topics that includes the following areas:
- Online monitoring
- High speed/high-throughput spectral imaging
- Instrumentations: camera, architecture, calibration, illumination, etc.
- Sensor/data fusion
- Spectral image management, pretreatment, and processing
- Deep learning
- Big image data
Papers must be original research of novel results or a suitable review article of the current state-of-the-art.
Dr. Seung-Chul Yoon
Guest Editor
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. Journal of Imaging 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 1800 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
- Spectral imaging
- Hyperspectral imaging
- Multispectral imaging
- Chemical imaging
- Non-destructive evaluation
- Safety inspection
- Big image data
- Food and agriculture
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