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Abstract: Machine Learning-Based APEX Meta-Model for Assessing Agricultural Nutrient Runoff in South Korea Under Future Climate Scenarios (AGU25)

Machine Learning-Based APEX Meta-Model for Assessing Agricultural Nutrient Runoff in South Korea Under Future Climate Scenarios

Seungwon Seok1, Miso Kim2, Jaeyoung Jung1, Donghyeon Kim2, Solhee Kim2 and Taegon Kim2, (1)Jeonbuk National University, Department of Agricultural Engineering, Jeonju, South Korea, (2)Jeonbuk National University, Department of Smart Farm, Jeonju, South Korea
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