Identification of Different Dairy Products Using Raman Spectroscopy Combined with Fused Lasso Distributionally Robust Logistic Regression

Raman spectroscopy has been more widely used recently in the quality detection of dairy products. Because Raman spectroscopy can conduct rapid analyses of small sample sizes at high dimensions, its use in the dairy industry is becoming a hot topic for researchers. To improve the robustness and accuracy of logistic regression identification method, a new Raman spectroscopy identification method was proposed that combines a distributionally robust optimization technique and fused lasso technique with logistic regression. Then, Raman spectroscopy was used to analyze two types of dairy products that were collected for anti-jamming identification testing to verify the effectiveness of the new method. The experimental results show that the proposed method is more robust and has a higher recognition accuracy than the traditional logistic regression.