Abstract
Greenhouses are used for the main purpose of improving the environmental conditions in which plants are grown.The efficiency of plant production in greenhouses depends significantly on the adjustment of several components particularly, the greenhouse interior temperature, vapour pressure and Co2 concentration. Here are developed a nonlinear coupled multiple-input, multiple-output (MIMO) model of an environmental greenhouse under matlab/simulink. This paper presents the optimization of temperature and vapour pressure employing a complex greenhouse climate model .The investigation of the newly developed approach for determining the optimal values for the greenhouse model parameters using the genetic algorithm technique (GA) was used.The mathematical model and the data used to test the proposed method were acquired in a commercial greenhouse using a sampling time interval of 1 hour. The greenhouse is automated with several actuators and sensors that are connected to an acquisition and control system based on a personal computer. The simulation results demonstrate the effectiveness of the proposed method.
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