The main purpose of crop growth analysis is to accurately evaluate and simulate the crop yield to effectively improve the cultivation and management technology and enhance its productivity. The crop growth model has the potential to quantitatively analyze environmental changes in crop growth and development to assist field management. Taking the Green Gold industry, with the green soybean of Taiwan exported to Japan as an example, the GLYCIM soybean growth model was regularly used as a tool to update the growth period and yield simulation results with weather forecasts and convert them into information that is easy to read for the whole industry. The research variety is Kaohsiung 9. Using the field observation data accumulated over many years, an empirical formula for estimating the crop parameters and fresh pod weight of the variety was established, and the accuracy of the model was verified. After sowing, meteorological observations, forecasts, and historical data of the current year are used for simulation. The forecast data used are the global cluster model forecast products produced by the Central Weather Bureau. The expected date of flowering, pod setting, pod filling, and soybean harvest, as well as the possible yield forecast results, are then proposed. The simulation results are updated once a week to provide the industry with an understanding of the impact of environmental changes on important production dates and expected yields. Comparing the field observation results, the error between the simulated flowering date and the actual value is within two days, and the simulated harvest date is close to the actual last harvest date in the field. The accuracy of the model has been verified by the continuous collection of simulated and measured yield data.