Soil water content plays a crucial role in plant growth, irrigation scheduling, and soil erosion prediction. Automatic sensor-based monitoring systems have emerged as efficient tools to provide continuous soil water content mapping against the traditional method, which is time consuming and limited to single point measurement. This study aimed to develop a sensor-based monitoring system for real-time mapping of soil water content distribution. To assess the variability of soil water content in sandy soil, a soil test bin of 3 m by 3 m was constructed. The system consisted of a series of sensors (SEN0193) installed at different depths, ranging from 0 to 60 cm. The monitoring system was equipped with wireless transmission technology using Arduino Mega 2560 and Raspberry Pi 4B microcontroller. Water content sensors were placed at predetermined locations and the geographic coordinates were obtained using GPS. The microcontroller collected data from the sensors, which was then evaluated using GIS to prepare a map of the soil moisture distribution. The results suggested that the monitoring system had the potential to revolutionize soil water content mapping and monitoring. The system can provide valuable insights into the spatial and temporal variations of soil water content, which can inform irrigation scheduling, crop management, and soil conservation practices.