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.
