Crop productivity is influenced by several factors, including soil management, crop, soil type, and others. Water availability is another factor that can be used to assess plant growth and ensure optimal plant growth through irrigation measures by adding soil moisture to the root zone. In this study, the AquaCrop model is used, which allows us to develop and maintain a continuous management performance. Field data for winter wheat plots were collected, including plant growth information from field monitoring. The study aims to improve the accuracy and applicability of the model by integrating additional remote sensing data. The research objectives are to simulate the plant growth of winter wheat, where we achieved approximately good results of 2.9-6.7 kt/ha for our plots, to improve the model and to evaluate the water balance of the plants by modelling the soil moisture in the root zone. Simulations of plant development under real conditions, water balance calculations, long-term planning and forecasting of plant water needs based on short- and medium-term weather data. Further analyses would focus on simulating the model using the cover ratio derived from the NDVI, assessing soil moisture, and considering irrigation measures to increase yields.