In order to solve the problem that subjective factors have seriously affected the tobacco appearance quality inspec-tion and tobacco quality grade evaluation, we constructed a classification model which was based on the method of Model Popula-tion Analysis-Random Forest( MPA-RF) combined with the near-infrared spectroscopy, and firstly adopted this model to con-duct the quality classification of flue-cured tobacco leaves with different maturity grades and different quality grades .The results indicated that MPA-RF model possessed the classification accuracy of 96.67%and 99.02%for the training ...
