Soft computing for greenhouse climate control

The methodology proposed in the paper applies artificial intelligence (AI) techniques to the modeling and control of some climate variables within a g reenhouse. The nonlinear physical phenomena governing the dynamics of tempe rature and humidity in such systems are, in fact, difficult to model and co ntrol using traditional techniques. The paper proposes a framework for the development of soft computing-based controllers in modern greenhouses.