Authors: Vasiliki K. Bouga, Peter P. Groumpos
Greenhouses are protected cultivation areas which are designed to control their micro-climate in order to obtain higher crop quality and increase the economic benefit of the producer. During the last two decades, a large effort was devoted to develop adequate greenhouse climate and crop models in order to simulate, control and manage the whole procedure. As the complexity and uncertainty of such systems increases, system theoretical methods become more crucial. One new theoretical approach in modeling dynamic complex systems is Fuzzy Cognitive Maps. FCMs are a symbolic representation for the description and modeling of a system. This paper is using for first time Fuzzy Cognitive Maps to model greenhouse environment so as to control all these parameters that affect the whole production in quality and quantity too. A generic model is developed and it can be modified depending on the application. Simulation studies, expected results and future research directions are presented.