Different kinds of soils have differen t matrix effects,which leads to the fact that laws between the copper concentrations and their laser induced plasma spectroscopy (LIBS) are different. This paper quantitatively analyzes the copper concentrations in soils using LIBS combined with artificial neutral network (ANN),in order to realize the quantitative test of copper in different kinds of soils.The appl ications of the neutral network for one single kind of soil and three kinds of soils are studied respectively.In the case of a single soil matrix,the application of back propagation (BP) neutral network could measure the copper in the soils accurately,and the maximum measurement error is 10.17%.And for three kinds of soils,the prediction accurac y of BP neutral network is reduced,and the maximum measurement error is not larger than 16%.In this si tuation,the linear neural network has a higher prediction accuracy when the copper concentration is high ,and the two methods above both have better detection accuracy than the int ernal standard method.The laser induc ed breakdown spectroscopy combined with artificial neural network can effectively solve the matrix effect between different types of soils, achieve quantitative detection of copper,and may play a more important role in the field of soil heavy metal detection.