An electronic nose was used to nondestructively detect the quality of Chinese pecans.
The “75th s values” method was used to do the feature extraction of response curves.
The model based on voting method had the best classification performance.
We built two PLSR models to predict the acid and peroxide value of Chinese pecans.
The E-nose signal data had good correlations with the quality of Chinese pecans.