Soil water content is one of the most important factors affecting crop development. Knowledge of real-time soil water content (SWC) in agricultural fields help us manage water in a sustainable timely manner. There are several methods available to monitor SWC which includes labor intensive gravimetric method and different types of sensors. Although SWC sensors are helping the farmers to monitor SWC, they are very expensive and lack the spatial resolution, accuracy, and precision. For optimal design of sub-irrigation systems, it is very important to know the plant root zone water uptake pattern using miniature soil water sensors installed within the rootzone. There is a need to test the accuracy, ease of use, and precision of different soil water sensors in Manitoba soils to enable remote monitoring. RaspberryPi based data acquisition systems will be useful to collect, store, and transmit field data collected with different sensors. However, the commercial water content sensors lack the precision necessary for data collection in experimental plots. In this research, capacitance-based soil moisture sensors were connected to the RaspberryPi to monitor soil water content in soil samples which were weighed periodically to obtain the gravimetric water content as the standard to compare. The data presented in this study will compare the accuracy and precision of the capacitance sensors. A data collection, storage, and transmission protocol using the internet will be presented.