Automatic Drip Irrigation System using Wireless Sensor Network and Data Mining Algorithm

India is an agricultural country and agriculture is backbone of Indian economy. Agriculture provides the principal means of livelihood for the major Indian population. The optimum use of agriculture resources can lead to a good crop yield. Water resource is major constrain in agriculture so efficient distribution of available water is certainly beneficial to get good crop yield and hence profit. The sensor based irrigation system is able to provide optimum solution by continuously monitoring the parameters like, soil temperature, soil moisture air temperature, wind direction, wind speed. The proposed system consists of sensors placed in the farm area, a control station and a base station. Wireless sensor network (WSN) uses ad-hoc networks which support flexibility and self configuration which is beneficial for agricultural application. Data acquired from different sensors is provided to the base station by wireless transmission using zigbee. Once the data are received at the base station, further data processing and computation requirements for decision making are carried out by using data mining algorithm. The result of data processing and computations are utilized for controlling automated drip irrigation system. Data processing provides all real time data in the integrated form and generates information or observations in formats that are convenient for farmers or to other end users and this data is transmitted for web applications so that observations can be remotely monitored. When real time data is delivered, farmers are able to achieve intelligent crop irrigation system. Hence such enhanced automation for irrigation provides a good electric & water conservation with more efficiency.