ANFIS for Vegetation Effects Prediction in Paddy Field for Wireless Sensor Network

Abstract

Currently, the establishment of a dedicated wireless sensor network distributed in agricultural areas. Monitor and record the physical conditions of the environment and forward the collected data to a control center. The wireless sensor network (WSN) measures the environmental conditions such as temperature, humidity and rainfall. But the height of plants, the height of the transmitting antenna, the distance and the frequency of the WSN system have the effect on the transmission of radio waves. In this experiment, the measurement data set includes the height of rice grown 105 cm, antenna height 55 cm, 105 cm and 155 cm were used to find the vegetation effect for wireless sensor network using adaptive neuro-fuzzy inference system (ANFIS). The frequency of 2400 MHz and 930 MHz were used at different distances from 5 m to 55 m. The results from the ANFIS model were more accurate compared to the Weissberger model. Furthermore, the antenna heights at 55 cm. and 105 cm. Furthermore, the antenna heights of 55 cm and 105 cm, radio signal transmission was attenuation due to rice plants significantly.