Generación y Simulación de un Modelo para Mejorar los Criterios de Riego en los Cultivos de Mini-Clavel de la Sabana de Bogotá Mediante Técnicas de Inteligencica Artificial

Abstract

In order to contribute to the rational use of Water Resources in the Sabana de Bogotá for growing mini-carnation, a model has been generated and simulated based on techniques of artificial intelligence (AI) that predicts the value for the next day evapotranspiration model (ET), which is a variable with scientific support in decision-making volumes and run times for a growing variety Rony mini-carnation. Knowing the crop ET and the leachate obtained by lysimeters weighing measurements included are taken over a period of one hundred and four (104) days, with which the generated model consisting of a fuzzy system, which evaluates the criterion irrigation trains applied in the current day and a Neuronal Network Back Propagation type, with which the ET predictions for the next day are obtained and applied based on this criterion favorable ET irrigation. The error obtained by the model is -0.27 and the correlation value obtained after the simulation compared to actual values is 0.7277