@article{article_882621, title={Mass Prediction of Apple Fruit by Using Nondestructive Impact Technique}, journal={Tarım Makinaları Bilimi Dergisi}, volume={17}, pages={64–73}, year={2021}, author={Tüdeş, Ecenur and Vursavuş, Kubilay}, keywords={Elma, Kütle Tahmini, Hasarsız Çarpma Tekniği, Çoklu Doğrusal Regresyon, Sınıflandırma Başarı Oranı}, abstract={In this study, it was aimed to estimate the mass of apples by using the nondestructive impact technique and to develop different model approaches. Starkrimson apple varieties were used in the experiments. In the prediction of apple mass, 10 nondestructive impact parameters were taken into consideration using impact force-time curves, and the number of impact parameters were reduced by stepwise regression analysis method to be used in the mathematical model (Fmax1, tmax, tmax1, Ia and tP1-2). Apple mass prediction was made by using these parameters in the multiple linear regression analysis method (MLR). According to the results of statistical analysis, developed mathematical model predicted the apple mass with 3.07 g and 3.35 g prediction error in the calibration and validation data set, respectively. In the calibration and validation data set, determination coefficients of the apple mass prediction (R2) were calculated as 0.94 and 0.93, respectively. The success of the mass prediction model according to the mass groups classified according to the cluster analysis was also determined. According to the results of the data group analysis, the true accuracy of the model approach was calculated as 32. In addition, the success of the classification of apple samples was calculated as 94.11%.}, number={2}, publisher={Tarım Makinaları Derneği}, organization={Çukurova Üniversitesi Bilimsel Araştırma Projeleri Koordinatörlüğü}