Salar Farhangi-Abriz

Machine learning reveals mechanisms and feedstock effects on potassium and magnesium uptake by wheat in biochar-amended soil in greenhouse.

Despite the potential of biochar to enhance crop nutrient uptake, the complex, feedstock-dependent interactions among biochar properties, soil biological processes, and plant root traits remain poorly understood. Hence, this study employed machine learning algorithms (Linear regression and Random Forest) with advanced...