Literature DB >> 22007376

[Advance on application of hyperspectral imaging to nondestructive detection of agricultural products external quality].

Jiang-Bo Li1, Xiu-Qin Rao, Yi-Bin Ying.   

Abstract

Hyperspectral imaging is an emerging technique that integrates conventional imaging and spectroscopy to obtain both spatial and spectral information from a studied object simultaneously. The images data can reflect the external features, surface defects and contamination. The spectra data can analyze physical structure and chemical composition in studied object. Therefore, hyperspectral imaging technology causes more and more attention, and has become a hot research topic recently. In order to track the latest research developments at home and abroad, application of hyperspectral reflectance and fluorescence imaging techniques to nondestructive detection of agricultural products external quality was reviewed, which would provide reference for application of hyperspectral imaging to agriculture.

Mesh:

Year:  2011        PMID: 22007376

Source DB:  PubMed          Journal:  Guang Pu Xue Yu Guang Pu Fen Xi        ISSN: 1000-0593            Impact factor:   0.589


  2 in total

1.  Unified Classification of Bacterial Colonies on Different Agar Media Based on Hyperspectral Imaging and Machine Learning.

Authors:  Peng Gu; Yao-Ze Feng; Le Zhu; Li-Qin Kong; Xiu-Ling Zhang; Sheng Zhang; Shao-Wen Li; Gui-Feng Jia
Journal:  Molecules       Date:  2020-04-14       Impact factor: 4.411

Review 2.  X-ray computed tomography for quality inspection of agricultural products: A review.

Authors:  Zhe Du; Yongguang Hu; Noman Ali Buttar; Ashraf Mahmood
Journal:  Food Sci Nutr       Date:  2019-08-23       Impact factor: 2.863

  2 in total

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