Prediction of fruit firmness involving modern computational techniques
2019
Beteringhe, Adrian | Nicolae, Marian | Petculescu, Nicole-Livia | Săraru | Nicolae, Floarea | Dimitrijević, Aleksandra | Zlatanović, Ivan
Firmness is an important component for determining the quality of any fruit. In this study, the data obtained for different apple categories were used. Once these experimental data were validated, they were used as dependent variables for the construction of a high predictive power model using the QSPR (Quantitative Structure Properties Relationships) technique. In order to obtain the specified model, the firmness values for the different categories of apples were correlated with the firmness values for other fruit categories and with the Young modulus values. The obtained model was statistically validated, obtaining data in accordance with the experimental data.
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