Spatial modeling of soil chemical properties in an arid region of Central Iran using machine learning and remote sensing data

This study demonstrates that machine learning algorithms, combined with freely available remote sensing data, can effectively model and map soil properties in arid and desert regions and offers a cost-effective approach for improving soil information at local and regional scales.