This study utilizes meteorological data from Anshan and Nanguo pear yield data from 1962 to 2021 to identify key meteorological factors affecting Nanguo pear yield. Through correlation analysis, the critical factors were determined to be annual average air temperature, total sunshine hours from April to September, and total precipitation during the same period. Based on these factors, three yield prediction models for Nanguo pear in the Anshan region were developed using regression analysis. Testing indicated that the prediction accuracy of both the exponential and regression models exceeded 83%, and could be increased to over 90% after correction. These two prediction models can serve as effective tools for annual yield estimation of Nanguo pear, providing crucial meteorological insights for the scientific management of Nanguo pear in the Anshan region.