Design and Implementation of Seasonal based Auto Irrigation System using Intelligent Controller

To optimize the water usage in agriculture and improve the crop growth, FX5U intelligent based Seasonal Based Irrigation System (SBAIS) is introduced. Different sensors like moisture measurement sensors, Soil Moisture sensors, temperature sensors are used to collect information about the soil and environment to know the crop requirements. All the sensors are connected with the PLC input AI/DI ports with suitable signal conditioning hardware setup and the data are fed to the data memory of the intelligent controller. The AIML algorithm is used in the FX5U controller to analyze the sensors data and produces the optimal irrigation schedule and crop water needs. Python programming is used in FX5U controller to train the model with different seasonal inputs. The trained AIML model produces the desired and optimal output for drip irrigation system. This proposed system reduces the manual work involvement and improve the crop productivity and it mainly saves the water. Due to this invention, the water scarcity problems are reduced during the summer condition.