Visible and near infrared (Vis/NIR) spectroscopy was investigated for the fast and accurate discrimination of rice canopy leaf blast using the combining processing of direct orthogonal signal correction-successive projections algorithm (DOSC-SPA). 120 rice canopy samples were collected with 60 samples for healthy and blast rice canopy leaves,respectively. The calibration set consisted of 80 samples with 40 of healthy and 40 of blast. The remaining 40 samples were used for validation set. Using the new combination of direct orthogonal signal correction-successive projections algorithm,the spectral data of rice canopy was directly orthogonal processed,and then the successive projections algorithm (SPA) was applied for the selection of most important variables,named effective wavelengths (EWs). Finally,a direct linear function was developed between the effective wavelength (775 nm) and rice canopy leaf blast for the discrimination rice canopy leaf blast,which was shown as Y=5.283X. The validation set was used to evaluate and assess the prediction performance of the developed direct linear function,and the discrimination ratio was 95%. An acceptable discrimination result and a parsimonious discrimination model were achieved by this direct linear function. The results indicated that the new combination of direct orthogonal signal correction and successive projections algorithm was a powerful way for the selection of effective wavelengths,and Vis/NIR spectroscopy was successfully applied for the discrimination of the rice canopy leaf blast,and the direct linear function achieved an acceptable discrimination ratio. This study provided a new approach for the further studies such as the on-field monitoring of rice blast,the treatment of spraying rice leaf blast,and the development of instrument for leaf blast monitoring.