Abstract: This study presents a smart agriculture irrigation control using Wireless Sensor Networks (WSNs), GSM and Android phone supporting android applications and a system for plant disease monitoring. Now a days the significance of Wireless Sensor Network (WSN) and android phones has been emerging significantly. In early days the agricultural farming methods were more complicated and costlier. In this system the optimized data are collected from the wireless sensor nodes and then the data are analyzed for an expert irrigation scheduling using fuzzy logic in order to optimize water usage. The fuzzy logic approach is used and implemented using Arduino UNO board. This system is also used to check whether the plant is affected by any disease from its leaf image using image processing techniques and tested using MATLAB. The system mainly consists of Zigbee, GSM, sensors, controller and motor. The data from different sensors are aggregated to repeatedly monitor the soil moisture level, temperature level and humidity level in the farmland and the plant health status. Once the information is received by the sensor node, it is transmitted to the wireless node through a wireless protocol. This system uses Zigbee wireless module for data transmission from the end devices to the web server node. With the information from the web server node the farmer can monitor and control the irrigation automatically using android application.
S. Geetha and R. Sathya Priya, 2016. Smart Agriculture Irrigation Control Using Wireless Sensor Networks, GSM and Android Phone. Asian Journal of Information Technology, 15: 3780-3786.