Heavy metal pollution is more and more serious in agriculture products. In the experiment, the rice polluted by cadmium is used as an example. We adopt coaxial dual pulse laser induced breakdown spectroscopy and the experimental parameters are optimized. The application of dual pulse-laser induced breakdown spectroscopy (DP-LIBS) in the area of monitoring the quality and safety of the farm products are explored. The feasibility of improving the sensitivity and accuracy for detecting the heavy metal in agricultural products is disscussed. The intensity of LIBS spectra and the real concentration of Cd of the nine concentration gradients samples are obtained by LIBS and anodic stripping voltammetry. By using univariate linear scaling regression model, three characteristic spectrum of Cd is analyzed quantitatively. The results indicate that the lowest mass fraction of Cd is detected by DP-LIBS with 5.03 μg/g and all the spectra lines have good correlation coefficients. The experiment shows that DP-LIBS can improve the detecting sensitivity and accuracy of Cd, its concentration information of Cd is got according to the linear regression model.