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Synthesis of a greenhouse climate controller using AI-based techniques

The methodology proposed in the paper deals with the use of artificial intelligence techniques in the modeling and control of some climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity on such systems are, in fact, difficult to be modelled and controlled using traditional techniques. The paper propose a framework for the development of a multi-input-multi-output (MIMO) fuzzy logic controller (FLCs) in modern greenhouses.