Nondestructive Detection of Vitamin C Content in Navel Orange Based on GA and GEP Algorithm

Abstract

A rapid quantification technique is developed and validated for nondestructively quantifying Vitamin C content of navel orange using NIR spectroscopy in conjunction with genetic algorithm (GA) and Gene expression programming (GEP) algorithm. The spectral are recorded in the NIR region using the fiber optic probe method. Four data points of the navel orange NIR are selected by genetic algorithm and GEP algorithm by cross validation. In our experiment, the correlative coefficient between predicted and measured values in the training group is 0.9206, and that of the validation group is 0.8994, the results show that the proposed method can be built to a concise easily computed model, which has feasible accuracy.