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An Intelligent System to Control the Fluid Fertilizer Application

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  021187,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.10384) @2002
Authors:   José Alfredo Covolan Ulson, Sérgio Hugo Benez, Ivan Nunes da Silva, André Nunes de Souza
Keywords:   Precision agriculture, fertilizer distributors, liquid fertilizers, neural networks, intelligent systems

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.

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