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Abstract: Evaluating Soil Erosion Susceptibility On Agricultural Fields With Integrated Physically-Based And Machine Learning Models In Southcentral Kansas (AGU25)

Evaluating Soil Erosion Susceptibility On Agricultural Fields With Integrated Physically-Based And Machine Learning Models In Southcentral Kansas

Tahsin Ishrak Oishee1, Brian Gelder2, Tim Sklenar3, Richard Cruse3 and Aleksey Y Sheshukov4, (1)Kansas State University, Biologial and Agricultural Engineering, Manhattan, KS, United States, (2)Iowa State University, Agricultural and Biological Engineering, Ames, United States, (3)Iowa State University, Agronomy, Ames, United States, (4)Kansas State University, Biological and Agricultural Engineering, Manhattan, United States