Abstract: In order to quickly and accurately determine the total nitrogen content in maize leaves and monitor the nitrogen element content under microbial remediation by hyperspectral remote sensing technology, two levels of AM fungal treatment were set up, with(M) and without (CK) arbuscular mycorrhizal Fungi inoculated. The physicochemical parameters and spectral reflectance data of leaves under the two treatments were measured respectively, and the effects of AM fungi inoculation on maize were studied. Stepwise regression method was used to model and retrieve the total nitrogen content of leaves. The results showed that inoculating AM fungi could increase the contents of total nitrogen, total phosphorus, total potassium and chlorophyll in leaves at different leaf positions, and significantly increase the biomass and leaf water content of maize. The correlation of total nitrogen content in different treatments was similar to that in different characteristic parameters, but the correlation coefficients were different. The stepwise linear regression method was used to estimate the nitrogen content of maize leaves by using the nine extremely significant spectral parameters as independent variables. Among them, the model determination coefficient R² in CK was up to 0.8361, and the determination coefficient of M model was up to 0.893, which could estimate the total nitrogen content of maize leaves.