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LCTF Hyperspectral Imaging for Vegetable Quality Evaluation

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Hyperspectral Imaging Technology in Food and Agriculture

Part of the book series: Food Engineering Series ((FSES))

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Abstract

This chapter discusses the liquid crystal tunable filter (LCTF)-based hyperspectral imaging technology and its application in vegetable quality inspection by using onion as a case study. A brief overview is provided on using the destructive and nondestructive methods for vegetable quality measurement. A detailed description of the LCTF technology, including system components and calibration, is presented. Two examples are given on using the LCTF technology for onion quality evaluation: one is to detect sour skin disease on the onion surface, and the other is to predict onion internal quality (soluble solid content and dry matter content) using the LCTF system. A brief conclusion is provided at the end of the chapter.

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Acknowledgements

Authors would like to thank Dr. Haihua Wang for his work on some of the data presented in this chapter.

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Authors and Affiliations

  1. College of Engineering, University of Georgia, 712F Boyd Graduate Studies Research Center, Athens, GA, 30602, USA

    Changying Li (Associate Professor)

  2. College of Engineering, University of Georgia, 701 Boyd Graduate Studies Research Center, Athens, GA, 30602, USA

    Weilin Wang

  3. Monsanto Company, 800 North Lindbergh, St. Louis, MO, 63167, USA

    Weilin Wang

Authors
  1. Changying Li
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  2. Weilin Wang
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Correspondence to Changying Li .

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Editors and Affiliations

  1. Agricultural Research Service, U.S. Department of Agriculture, Athens, Georgia, USA

    Bosoon Park

  2. Agricultural Research Service, U.S. Department of Agriculture, East Lansing, Michigan, USA

    Renfu Lu

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Li, C., Wang, W. (2015). LCTF Hyperspectral Imaging for Vegetable Quality Evaluation. In: Park, B., Lu, R. (eds) Hyperspectral Imaging Technology in Food and Agriculture. Food Engineering Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2836-1_14

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