Comparative assessment of machine learning algorithms and Ordinary Kriging for predictive mapping of soil clay content in a tropical Guinea Savanna
Clay content is an important determinant of soil physical and chemical behaviour, influencing water retention, nutrient availability, and agricultural productivity. Accurate spatial prediction of clay distribution is therefore important for digital soil mapping and sustainable land management. This study compared Rando...