Abstract: This paper study the correlation between chlorophyll content and hyperspectral parameters of flue-cured tobacco leaves and establish an estimation model of chlorophyll contentto lay a foundation for establishing or screening evaluation indexes of flue-cured tobacco leaf curing characteristics. Tobacco type Yunyan 87 was selected as the research object. The chlorophyll content of flue-cured tobacco leaves and spectral reflectance of 400-1 000 nm were measured under different maturity levels and different curing temperatures,and the characteristic bands of hyperspectral data were screened by SPA（continuous projection algorithm）. Ten characteristic wavelengths related to chlorophyll content were selected as experimental sample data. Three prediction models, SPA-BP, SPA-Ridge, and SPA-Ridge, based on the SPA algorithm, were used to predict the chlorophyll concentration of tobacco leaves at different curing temperatures and the coefficient of determination（R2） of each model was compared. Root mean square error（RMSE） and mean square error（MRE）.The three prediction models based on the SPA continuous projection algorithm effectively predicted the chlorophyll content of tobacco leaves at different baking temperatures, and the SPA-BP prediction model was the best 0.967, RMSE is 0.101, SPARidge is the second, R2=0.956,SPA-Ridge model was the lowest, R2=0.916. The prediction effect of the BP neural network method was better than that of the linear method, and it had better optimization ability and prediction accuracy. The prediction model can provide a theoretical basis for qualitative research of chlorophyll content in the tobacco curing process.