The purpose of this study is to identify key meteorological factors influencing the quality of Longshan lily, construct a climate_quality evaluation model based on the MaxE nt model, and provide reference guidance for ensuring high_quality production of Longshan lily and efficiently utilizing climate resources. By using meteorological data from Longshan County in 2014 - 2023 and quality test data, as well as the correlation analysis method combined with the MaxE nt model, this paper selects key meteorological factors, and then principal component analysis is employed to assign weights to these factors, determine the climate_quality evaluation index, and construct Longshan lily climate_quality evaluation model. The results reveal that a total of seven key meteorological factors are selected, including relative humidity during the vegetative period, the daily minimum temperature and sunshine hours during the bulb bud period, sunshine hours during the bulb expansion period, precipitation and average temperature during the mature harvest period, and the average temperature from the first ten days of March to the end of August. Among them, the sunshine hours during the bulb expansion period (with a contribution rate of 72. 0%), the average daily minimum temperature during the bulb bud period (10. 8%), the average temperature during the bulb main growth period (7. 5%), and the average relative humidity in vegetative period (6. 2%) are identified as the core indicators. The climate_quality evaluation indexes for Longshan County between 2014 and 2023 ranged from 2. 05 to 3. 00, and all reached the " excellent " level or above, which shows a consistency rate of 80% with the actual total sugar content grade. Therefore, the overall climate conditions in Longshan County are suitable for high_quality production of Longshan lily, and the use of the MaxE nt model can effectively identify key meteorological factors influencing the quality of Longshan lily. The evaluation model constructed in this study has a high degree of reliability and could provide a good reference for the climate quality evaluation of specialty crops.