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Open access, high-resolution soil property maps have been created for Africa at 30 m resolution, using machine learning trained on over 100,000 analysed soil samples. Combined with other field-level information, iSDAsoil enables the possibility of site-specific agronomy advisory for smallholder farmers. Recent developments in remote sensing and machine learning have allowed African soil properties to be mapped at an unprecedented resolution of 30 m. iSDAsoil is an open access resource that will empower the community to embrace ’hyperlocal’ approaches such as field-level agronomy advice for smallholder farmers.