Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Ethiopia

Selected soil properties were predicted from 79 topsoil samples subjected to spectral analysis (MIRS). A subset of samples were also subjected to wet chemistry analysis, 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. When calculated from other predicted properties, the variable name contained the string: "Estimated". A link is provided to match terms used in the "terminag" GitHub (https://github.com/reagro/terminag.".

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Additional Info

Field Value
Author Sida,Tesfaye Shiferaw, Gebrekidan, Bisrat Haile, Silva, Joao Vasco, Gameda, Samuel, Hougni,Deo-Gratias, Baudron, Frederic, Desalegn, Temesgen, Pittaki, Zampela, Weullow, Elvis, Ateku, Dickens, Karari, Valentine, Chamberlin, Jordan
Maintainer CIMMYT Research Data & Software Repository Network
Last Updated January 20, 2025, 16:31 (UTC)
Created January 20, 2025, 16:31 (UTC)
contributor Garza Sánchez, Enrique
creator Sida,Tesfaye Shiferaw
date 2024-11-04T00:00:00
harvest_object_id 6d5520bb-6eb8-4a29-847c-849005f10825
harvest_source_id a58b0729-e941-4389-816d-5823f01c0d28
harvest_source_title CIMMYT Research Data
identifier https://hdl.handle.net/11529/10549136
language English
metadata_modified 2024-11-05T07:00:04
set_spec cimmytdatadvn