Implementation of fuzzy logic in autonomous irrigation system for efficient use of water
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This project is focused on application of fuzzy logic to control an automatic irrigation system. In organic way, an experienced human farmer can manage the irrigation system by sensing soil moisture by fingertip and decide the estimated timing as well as water flow rate for irrigation. This system will do everything on behalf of human. The moisture sensor of the irrigation control system has a nonlinear response and a significant time delay; it can be difficult to get satisfactory results by using a regular feedback control system. As fuzzy logic system is able to mimic human reasoning and decision making, it can improvise the regular feedback system for decision making. Data from soil moisture sensors will be used as inputs to the system. The fuzzy control system will process the estimated soil moisture contents from multiple section of land. It will use linguistic knowledge to produce a control output that is sent to a motor which controls the water flow rate from a static water source to the land of cultivation. The control unit will also control a pump which will fill up the source/water tank. A data set will also be used to make different output for different plants. In many researches, efficiency of the fuzzy logic control system has been measured and got the satisfactory output.