Abstract: This study is to monitor the impact of inoculation mycorrhizal on the growth of maize plants under different phosphorus(P) levels using hyperspectral remote sensing technology. At low P levels(0 and 30 mg / kg),inoculations significantly promoted the P absorption,plant biomass and chlorophyll content as compared with uninoculated control, while at higher P levels(60 and 120 mg / kg),inoculations effects somewhat inhibited,rather than promoted the growth and P uptake. Based on the sensitive spectral information on the response of chlorophyll content to the inoculation,un- der different P levels,the green peaks in inoculated plants were lower than those of uninoculated controls,and reduced as P application increased. In the low P conditions,the differences between the inoculated and uninoculated plants in the slopes of blue,yellow and red edges were the most remarkable. The spectral characteristic parameters that measure the difference in chlorophyll content in different treatments were used as independent variables to construct linear or nonlinear regression model using the chlorophyll content as the dependent variables. In all the inversion models that used the chlorophyll content,the linear model with REP as variables had higher fitting precision and better inversion outcomes,with a fitting value of 0. 839 and R2 of 0. 753. When the chlorophyll contents in the control were used in the inversion models,the most stable model was exponential with RG as variable. Its degree of fitting was 0. 927 with R2 of 0. 834.