Studies on Near Infrared Model for Predicting Major Physical Indices of Flue-cured Tobacco

In order to rapidly detect the major physical indices(weight per unit leaf area,filling value, thickness,equilibrium moisture content and tensile strength) of flue-cured tobacco with near infrared(NIR) spectroscopy technology,NIR mathematical models were developed with near infrared diffuse reflectance spectroscopy and stechiometry.The results showed that the root mean square errors of prediction(RMSEP) of weight per unit leaf area,thickness,tensile strength,filling value and equilibrium moisture content were 0.553, 0.0169,0.149,0.234,0.277,respectively;their average relative deviation were 7.82%,8.36%,10.88%,4.18%, 2.83%,respectively.The results of t-test indicated that there was no significant difference between predictive values and standard values,the developed NIR models could be used in the rapid detection of physical indices of batches of tobacco samples.