Abstract
Nowadays, protected agriculture has continually lagged because of the scarce and slow technological advances and unskilled labor. The implementation of intelligent greenhouses to improve the quality and quantity of crops allows a precise regulation of the environmental conditions inside the greenhouse considering the lifecycle of the crop within the control rules. The main objective of the present is to describe the stages of analysis, design and implementation of an intelligent greenhouse developed in the Tecnológico de Monterrey Campus Ciudad de México. The focus of this is based on the sustainable development approach considering a robust design that integrates reliable, simple, efficient, ecologic and low cost materials and systems with the aim of achieving the automation and control of the microenvironment. The reason of using artificial intelligence techniques over conventional methods, resides in the fact that the greenhouse model is highly nonlinear at many operating points.
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