Abstract: A soil-climate intelligent type determination method for rice target yield and nitrogen fertilizer amount includes steps: construct a basic database; obtain historical weather data from the region where the rice planting area is to be determined over the past few years, and obtain real-time GFS weather data of the region in a predicted year; obtain 100 m×100 m grid sampling point soil data and a rice field vector layer of rice planting area to be determined; obtain at least three years of nitrogen fertilizer gradient test data of the rice planting area to be determined, rice variety information and management data of each farmer in each year; obtain accurate weather data of the prediction year; prepare soil data of 100 m×100 m plot-scale; localize genetic parameters of the rice growth model DSSAT; and run the localized DSSAT model to predict the plot-scale target yield and recommend the nitrogen application amount.