OPTIMIZING THE GREENHOUSE MICRO-CLIMATE MANAGEMENT BY THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE USING FUZZY LOGIC

The socio-economic evolution of populations has in recent decades a rapid and multiple changes, including dietary habits that have been characterized by the consumption of fresh products out of season and widely available throughout the year. Culture under shelters of fruit, vegetable and flower species developed from the classical to the greenhouse agro - industrial, currently known for its modernity and high level of automation (heating, misting, of conditioning, control, regulation and control, supervisor of computer etc.). New techniques have emerged, including the use of control devices and regulating climate variables in a greenhouse (temperature, humidity, CO2 concentration etc.) to the exploitation of artificial intelligence such as neural networks and / or fuzzy logic.