Abstract: In order to achieve nondestructive detection of heavy metal cadmium in lettuce leaves，hyperspectral technology was used as research method.A precise，rapid and effective method for detecting heavy metal cadmium in lettuce based on hyperspectral technique was studied.First，hyperspectral image acquisition system was used to obtain hyperspectral image of lettuce，and spectral data was extracted.Extracted spectral data were extracted by successive projections algorithm and weighted regression coefficients，then a LSSVR model for predicting cadmium content in lettuce leaves was established.Results showed that SPA-LSSVR model has the best performance，in which the coefficient of determination set was 0.927 3 and the root mean square error was 0.093 mg/kg.Therefore，it is feasible to predict heavy metal cadmium content in lettuce leaves by using hyperspectral technique combined with SPA-LSSVR model，which can provide technical support and reference for practical application.