Internet of Things (IoT) has been widely used in recent years to solve a specific problem or perform an advanced function. In this paper, the IoT is used to build a distributed large-scale smart irrigation system that also aims to improve the load profile and the power quality of the system. Smart irrigation panels with built-in fuzzy logic control and integrated sensors have been designed and placed in a distributed manner along the system to provide the needed information about Persian conditions. The temperature, humidity, and soil resistivity sensors are used to provide the primary information for the irrigation and combined with current and voltage sensors for load demand and power quality purposes. The proposed IoT system is used for 47 bus power system. The first 31 buses are residential load bus with rating values of 50KVA. The other remaining 16 buses are used for agriculture purposes where a 30 hp water pump is connected in each bus area to supply water to the Persians. The test system is studied for different operation scenarios to allows study of the load demand, steady-state under-voltage, and sag transients. The proposed IoT system is compared with conventional under-voltage and sag solutions techniques. It shows a higher ability to manipulate the load profile and prevent under-voltage and sag existence when the conventional method fails for different irrigation operation conditions.