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气候变化极大地影响了农业生产的用水需求，特别是水稻作物的用水需求。由于气候变化，水稻作物的响应具有不确定性和异质性。气候变量降雨和温度直接影响作物产量。农业生产管理需要精确了解作物产量，以便在州一级规划未来的可持续粮食需求。以安得拉邦为研究对象，研究了0.25°× 0.25°空间分辨率下气候变化情景对水稻产量的影响。在全球气候模式(GCM)预估中使用代表性浓度路径8.5情景，使用统计工具缩小了本世纪中叶(2048-2078)的比例。本研究利用农业技术转移决策支持系统(DSSAT)软件包中的水稻种植系统模型(CSM)和资源与环境综合(CERES)模块进行作物估计。在本研究中，通过Python促进了在农业技术转让决策支持系统(DSSAT)中使用区域作物产量估算系统(RCYES)进行种植系统模型(CSM)。观察到，与RCP 8.5基线期(1988-2018)相关的冬季和季风前季节降雨量将减少。从7月到10月，降雨量明显增加。 The most considerable change in the rain was 50.7 mm in September. A notable variation between the maximum and minimum temperatures of 2.3 and 2.5 degrees Celsius in June and April respectively. Rainfall is expected to increase in Anantapur, Kurnool and Nellore districts during the mid-century 2040's. The correlation between the baseline and DES mean yield was 0.87, with a maximum yield of 0.86 and a minimum yield of 0.82. Decrease paddy yields by up to 10.7% in West Godavari, Krishna, Guntur, Nellore and Prakasam districts. At the same time, an increase in paddy yields up to 9.8% is anticipated in Srikakulam, Visakhapatnam, Vizianagaram, East Godavari, Anantapur, Chittoor, Kadapa, and Kurnool. In contrast, a maximum decrease of 189.9 mm of rainfall is expected in the Vizianagaram district. These results could assist in devising adaptation measures to reduce the negative effect of climate change on rice crops in Andhra Pradesh.

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