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. © 2021 Miller et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI:
https://doi.org/10.1371/journal.pbio.3001441Altmetric score:
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Publication year
2021
Authors
Miller, M.A.E.; Shepherd, K.D.; Kisitu, B.; Collinson, J.
Language
English
Keywords
soil propreties, soil quality, mapping, agronomy, remote sensing
