Application analysis of ANFIS strategy for greenhouse climate parameters prediction: Internal temperature and internal relative humidity case of study

The present paper, introduces Adaptive Neuro Fuzzy Inference System (ANFIS) as one of the most mature and intelligent methods to predicte internal temperature relative humidity a greenhouse system. To conduct application proposed strategy, an experimenntal equipied with several sensors actuators is engaged. In this sense data base was collected during period day time where dynamics were observed inpresence others climatic parameters actuators’ actions. results demonstrate that by using ANFIS method, predictions match target points good accuracy. Therefore, effectiveness strategy in term both inside climate parameters’ prediction guaranteed.