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The distribution of liquid fertilizers through variable rate techniques implemented by classical control approaches needs a flow meter in the primary controlled variable. This paper proposes an intelligent control system based on Artificial Neural Network of the type multilayer perceptron for the identification and control the fertilizer flow rate. In this approach, there is no flow meter since the control is made through secondary variables. The neural network training is made by the algorithm of Levenberg-Marquardt with training data obtained from workbenck measurements. The results indicate an accurate, fast, stable and low cost control system for precision agriculture.