Improving Performance of WSN based Crop Monitoring System with the Help of ANN

The main aim of this paper is to propose improvement in power of wireless sensor network technology for agricultural banana crop monitoring purpose with the help of combination of self-learning and decision making power of Artificial Neural Network and WSN, which is useful to reduce hard work of farmer’s. In this work, we can use the sensor nodes with sensors attached with it such as leaf wetness, temperature sensor, soil PH, soil moisture, atmospheric pressure sensors attached to it. The values of sensors are transferred to the remote data center, at remote data center we use Artificial Neural Network, so with the help of ANN system will take better decisions and finally this better information is transferred to the end user using GSM modem. Every time transformed information is better than previous one because our ANN learns with the help of feedback from the user, according to this information system will take proper decisions for better development of the crops. The system will learn and take better decisions with new experience and feedback.