Moisture stress in the soil is one of the most important factors influencing plant growth. Soil moisture stress refers to a physiological response from excess moisture, such as the loss of more moisture than the moisture absorbed from the soil due to transpiration. Excessive soil moisture also causes considerable stress due to lack of air in the soil. To prevent moisture stress in the soil, it is important to estimate the appropriate amount of irrigation through spatial distribution prediction of soil moisture. At present, irrigation technology for field crop cultivation is being developed based on soil moisture and meteorological information (crop evapotranspiration). Therefore, in this study, we developed spatiotemporal distribution prediction technology by using soil moisture modeling techniques. We also developed a technique for estimating water stress and irrigation amount in open field crop areas by simulating soil moisture in the root zone. For the study area, an orchard located in Saam-ri, Chuncheon-si, Gangwon-do was selected. Soil moisture monitoring was performed according to the spatial distribution of soil moisture and soil depth. The soil moisture data was used as data for estimating and verifying the moisture simulation parameters of the APEX model and for comparing the predictions of root zone soil moisture at the monitoring site. As a result of this study, the spatial area vulnerable to drought within the study area was estimated, and the appropriate amount of irrigation was estimated accordingly. In line with the findings of this study, the spatial distribution of moisture can be predicted using a soil moisture simulation model.