Projection of Rice and Maize Productions in Northern Thailand under Climate Change Scenario RCP8.5

Climate change has an effect human living in a variety of ways, such as health and food security. This study presents prediction crop yields production risks during the years 2020–2029 northern Thailand using coupling 1 km resolution regional climate model, which is downscaled conservative remapping method, Decision Support System for Transfer Agrotechnology (DSSAT) modeling system. The accuracy agricultural model was appropriate compared with observations, Index Agreement (IOA) range 0.65–0.89. results reveal negative effects on rice maize Thailand. We show that, Thailand, rainfed may be reduced by 5% 4% maize. Moreover, risk analysis showed that at high low production, while risk. Additional irrigation, diversification, selection planting dates methods conservation are promising adaptation strategies improve production.