[U-02] Applied Math Perspectives on Modeling, Analyzing, and Predicting Complex Geophysical Systems

[U02-P06] Machine Learning–Based Meta-Modeling of APEX for Efficient Prediction of Agricultural Nutrient Discharge under Future Climate Scenarios

*Seungwon Seok¹, Jaeyoung Jung¹, Hyunsoo Park¹, Huiwon Yang², Donghyeon Kim², Taegon Kim^1,2,3 (1. Department of Agricultural Engineering, College of Agricultural & Life Sciences, Jeonbuk National University, Jeonju, 54896, Korea, Republic of South Korea, 2. Department of Smart Farm, Jeonbuk National University, Jeonju, 54896, Republic of Korea, 3. Institute of Agricultural Science & Technology, Jeonbuk National University, Jeonju, 54896,)

Keywords:Meta-modeling, Machine learning, Nutrient Discharge, Agricultural management, APEX, Climate change