Abstract

The aim of this study is to evaluate grape wine quality more objectively by reducing the error of traditional grape-wine-quality evaluation. On combining grape wine quality and physicochemical index of grapevine, we provided a grape-wine-quality evaluation model by grapevine’s physicochemical index in this study. Firstly, evaluations of the tasters are analyzed, for eliminating the disturbance caused by their individual difference. Then, relationship between grape wine and grapevines are analyzed. Inherent mechanism which affects the grape wine quality was figured out based on description of grape wine quality by physicochemical index of grapevine. Finally, we evaluated the grape wine quality by physicochemical index of grapevine. Additionally, rationality of the model is verified by statistical test while the accuracy of the results is verified by comparison with the evaluating results made by tasters.

Keywords:

Grape wine quality evaluation, multiple linear stepwise regression, principal component analysis, significant test,

References

Competing interests

The authors have no competing interests.

Open Access Policy

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Copyright

The authors have no competing interests.