Ultra sensor based on color and UV-excited fluorescence images for predicting quality attributes of Shine-Muscat grape bunches at different maturity stages

Author:

Mehretie Solomon,Inoue Sohta,Hayashi Takahiro,Nakashima Hiroshi,Panintorn Prempree,Ninomiya Kazunori,Kondo Naoshi

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Reference27 articles.

1. Modeling excitation-emission fluorescence matrices with pattern recognition algorithms for classification of argentine white wines according grape variety;Azcarate;Food Chemistry,2015

2. Changes in biochemical and volatile flavor compounds of Shine Muscat at different ripening stages;Choi;Applied Sciences (Switzerland),2020

3. Multivariate autofluorescence of intact food systems;Christensen;Chemical Reviews,2006

4. Table and dried Fao-Oiv Focus 2016: Food and agriculture organization international organisation of vine and (p. 64);FAO-OIV FOCUS,2016

5. Comparison of different approaches for the prediction of sugar content in new vintages of whole port wine grape berries using hyperspectral imaging;Gomes;Computers and Electronics in Agriculture,2017

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