Abstract

GUZMAN-CRUZ, R. et al. Genetic algorithms for calibration of a greenhouse climate model. Rev. Chapingo Ser.Hortic [online]. 2010, vol.16, n.1, pp.23-30. ISSN 2007-4034.

Greenhouse crop production, compared with field production, yields greater quality and quantity and higher prices in any period of the year. These advantages are related to the climatic conditions in which crop grows and the specific climatic conditions of each region Thus, it is important to have a system of control to maintain the values of climate variables within an optimum range for crop development. However, the design of these systems is based on mathematical models that describe a given process, but it is necessary to have a model to predict the behavior of internal greenhouse environment. The goal of this work was to fit a mathematical model for greenhouse environment under the climatic conditions of central México. Furthermore, analyses of sensitivity, calibration and validation were performed and coefficient of correlation (r) of the model was obtained. Data were obtained from Universidad Autónoma of Querétaro's biotronic laboratory greenhouse. The model's input variables were outside temperature and relative humidity, wind velocity and solar radiation. Results showed that estimated air temperature inside the greenhouse had a better fit to the measured air temperature (r = 0.86) and, the estimated relative humidity fit less well to the measured relative humidity (r = 0.78).

Keywords : sensitivity analysis; parameters; input variables; state variables.

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