Mapping numerically classified soil taxa in Kilombero Valley, Tanzania using machine learning

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Inadequacy of spatial soil information is one of the limiting factors to making evidence-based decisions to improvefood security and land management in the developing countries. Various digital soil mapping (DSM) techniqueshave been applied in many parts of the world to improve availability and usability of soil data, but less hasbeen done in Africa, particularly in Tanzania and at the scale necessary to make farm management decisions. TheKilombero Valley has been identified for intensified rice production.

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