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Abstract: Hybrid Biophysical – Machine Learning for Diurnal Estimation of Agricultural Surface Energy Fluxes Through Proximal Sensing (AGU25)

Hybrid Biophysical – Machine Learning for Diurnal Estimation of Agricultural Surface Energy Fluxes Through Proximal Sensing

James Cross, Ohio State University Main Campus, Columbus, OH, United States, Kaniska Mallick Sr., Luxembourg Institute of Science and Technology, Environmental Research & Innovation (ERIN) Department, Belvaux, Luxembourg, Guler Aslan Sungur, Iowa State University, Ames, IA, United States, Andy VanLoocke, Iowa State University, Department of Agronomy, Ames, United States and Darren Drewry, Ohio State University Main Campus, Food, Agricultural, and Biological Engineering, Columbus, United States
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