Determination of tobacco leaf maturity degree based on computer vision technology

Fast quantitative testing on the maturity of tobacco leaves is valuable to the tobacco harvest. The HSV color value of tobacco leaves was acquired approach via the process and exchange of image data collected from the sample leaves. The functional relationship between HSV color value and chlorophyll content and between chlorophyll content and SPAD value were established by the linear regression analysis. Based on the functional relationship between maturity degree and SPAD value, the TMDHSV relation model was set up between HSV color value and leaf maturity. And then the method was established for determination of tobacco leaf maturity degree based on computer vision technology. The approach has been proved feasible to acquire the maturity values of the growing tobacco leaves quickly.