Selected soil properties were predicted from 61 topsoil and 61 subsoil samples subjected to spectral analysis (MIRS).
A subset of samples were also subjected to wet chemistry analysis (see links in the attached reports), and results were used to calibrate a machine-learning algorithm developed by the International Centre for Research in Agroforestry (ICRAF) in Kenya. Coordinates were truncated to protect farmer's privacy.
Unless specified, all properties were predicted. This dataset can be linked with yield data (coming soon) through unique farm identifier (fid).