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Experimental Study of Determining Technique for Table Grape Qualities using Visible Wavelength of Imaging and Spectroscopy


Paper Type 
Contributed Paper
Title 
Experimental Study of Determining Technique for Table Grape Qualities using Visible Wavelength of Imaging and Spectroscopy
Author 
Chaorai Kanchanomai, Kazuhiro Nakano, Daruni Naphrom, Kenichi Takizawa, Yating Xiong, Phonkrit Maniwara and Shintaroh Ohashi
Email 
sohashi@agr.niigata-u.ac.jp
Abstract:

     Imaging and spectroscopy are non-destructive techniques for determining fruit qualities. The qualities of table grapes (Vitis vinifera) such as soluble solids content (SSC), pH, fi rmness and seedlessness are key parameters. This research was focused on comparison between imaging and spectroscopy in laboratory and fi eld. The results of Partial least squares regression (PLSR) showed that the best coeffi cient of determination (R2) for prediction (R2 pred) on SSC for laboratory was 0.8085, for fi eld was 0.8169, and for imaging was 0.7994. The best R2 pred on fi rmness for laboratory was 0.6925, for fi eld was 0.5737, and for imaging was 0.6216. The best R2 pred on pH for laboratory was 0.6820, for fi eld was 0.7101 and for imaging was 0.6494. Partial least squares discriminant analysis (PLS-DA) was analyzed the successful percentage of seedlessness classifi cation: 89.66%, 93.10% and 81.25% for spectroscopy in laboratory, fi eld and imaging, respectively. The results of SSC and seedlessness in fi eld are almost same effi cient as in laboratory. That means farmer can do spectroscopy on SSC and seedlessness anywhere and non-destructively. By the way, we can use both techniques as effi cient non-destructive techniques for determining these key parameters of table grape qualities.

Start & End Page 
1355 - 1364
Received Date 
2022-04-12
Revised Date 
2022-08-11
Accepted Date 
2022-08-13
Full Text 
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Keyword 
chemometric analysis, nondestructive analysis, physico-chemical quality, seed classification, seedless grape
Volume 
Vol.49 No.5 (September 2022)
DOI 
https://doi.org/10.12982/CMJS.2022.085
Citation 
Kanchanomai C., Nakano K., Naphrom D., Takizawa K., Xiong Y., Maniwara P., et al., Experimental Study of Determining Technique for Table Grape Qualities using Visible Wavelength of Imaging and Spectroscopy, Chiang Mai J. Sci., 2022; 49(5): 1355-1364. DOI 10.12982/CMJS.2022.085.
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Chiang Mai Journal of Science

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