Abstract
The efficient and sustainable irrigation mechanism results in reduced water loss and improved crop productivity. This paper presents a real-time fuzzy inference based automated irrigation controller implemented in LabVIEW, that utilizes the data logged from the sensor network and communicated using GSM/GPRS module. The proposed drip irrigation scheduler receives the data from soil moisture, humidity, air temperature and water level sensor, in order to decide the percentage valve opening. Recently the open channel system have transformed into pressurized pipe systems which utilizes large amount of energy for uniform distribution of water. In order to optimize the energy consumption utilized in irrigation, availability based tariff (ABT) is implemented. The time interval for which drip irrigation is regulated, is controlled by supply frequency to operate pumps in low tariff period. This technique is applicable for wide range of crops which are grown in Kharif and Rabi season. The field experimentation results shows that the cost of irrigation is reduced by 30% as the water and electricity is efficiently utilized. Water saving is 45% more as compared to flood irrigation mechanism. Cost benefit achieved for Sorghum crop cultivation by proposed fuzzy based irrigation technique is higher by Rs.598/acre than the profit realized by manual flood irrigation.
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