five

Soil properties predicted from mid-infrared spectral (MIRS) analysis of 61 soil samples collected in 2021 before establishing on-farm trials on yield response to lime rates in Kakamega Kenya

收藏
DataCite Commons2026-04-01 更新2026-04-25 收录
下载链接:
https://data.cimmyt.org/citation?persistentId=doi:10.71682/10549397
下载链接
链接失效反馈
官方服务:
资源简介:
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).
提供机构:
CIMMYT Research Data & Software Repository Network
创建时间:
2026-03-02
二维码
社区交流群
二维码
科研交流群
商业服务