Recent Advances in Spectral Imaging Systems and Techniques for Food and Agriculture Applications

Special Issue Editor

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

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Keywords

  • Spectral imaging
  • Hyperspectral imaging
  • Multispectral imaging
  • Chemical imaging
  • Non-destructive evaluation
  • Safety inspection
  • Big image data
  • Food and agriculture

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Published Papers

There is no accepted submissions to this special issue at this moment.
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