Construction and evaluation of solar system for fuzzy control of intelligent irrigation system

Abstract

Restriction of water resources requires optimal use of agricultural water resources. In this regard, the use of new technologies to increase irrigation efficiency. In arid and extremely arid regions such as Iran, the time and duration of irrigation is the key to achieving sustainable irrigation. Therefore, in this research, after constructing a garden in Imam Khomeini Higher Education Center with an area of ​​500 square meters, and installing equipment related to irrigation and fertilization, a fuzzy control system was designed to optimize water consumption and inputs, intelligent irrigation and fertilization system. The present study presents a practical solution based on artificial intelligence in which all stages of design and implementation are described. In this system, a microcontroller was first used to process and store data on soil moisture, ambient temperature and solar radiation. The fuzzy logic controller then takes these three inputs and based on the table of rules created for a specific product, produces the desired irrigation time and duration. Experimental results showed that, the developed system accurately compensates for the amount of water lost through evapotranspiration. It seems that the use of fuzzy control has a great impact on irrigation management and planning in the near future.