Prediction of Soluble Solids Content of Jujube Fruit Using Hyperspectral Reflectance Imaging

Jian Guo He; Yang Luo; Gui Shan Liu; Shuang Xu; Zhen Hua Si; Xiao Guang He; Song Lei Wang

doi:10.4028/www.scientific.net/AMR.706-708.201

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 706-708Prediction of Soluble Solids Content of Jujube...

Prediction of Soluble Solids Content of Jujube Fruit Using Hyperspectral Reflectance Imaging

Abstract:

To predict soluble solids content (SSC) of jujube fruits, a hyperspectral imaging technique has been used for acquiring reflectance images from 200 samples in the spectral regions of 900-1700nm. Hyperspectral images of jujubes were evaluated from the regions of interest using principal component analysis (PCA) with the goal of selecting five optimal wavelengths (1034, 1109，1231，1291 and 1461nm). Prediction model of SSC (Rp=0.9027, RMSEP=1.9845) were built based on BP neural network. This research has demonstrated the feasibility of implementing hyperspectral imaging technique for sorting jujube fruit for SSC to enhance the product quality and marketability.

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Periodical:

Advanced Materials Research (Volumes 706-708)

Pages:

201-204

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.706-708.201

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Online since:

June 2013

Authors:

Jian Guo He, Yang Luo, Gui Shan Liu, Shuang Xu, Zhen Hua Si, Xiao Guang He, Song Lei Wang

Keywords:

Hyperspectral Reflectance Imaging, 'LingwuChangzao' Jujube, Soluble Solids Content

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