Clogging detection of water dripper in the micro irrigation system is presented in this paper. Mathematical model from the back propagation artificial neural network (ANN) are developed for the clog detection. The back propagation ANN has 3 layers with 20 hidden nodes and uses flow rate information from an arbitrary drip line in the 4-drip line micro irrigation system for the supervised learning. The average accuracy of 81.09% is obtained from the back propagation ANN when the model is applied to the micro irrigation system.