Machine learning based gridded/ digital soil mapping for Kapiti Research Station and Wildlife Conservancy, Kenya

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dc.creatorCherotich, Fredah
dc.creatorLeitner, Sonja
dc.creatorPearce, F.
dc.creatorRufino, Mariana C.
dc.creatorQuinton, J.
dc.creatorDhulipala, Ram
dc.creatorSalavati, M.
dc.creatorGluecks, Ilona V.
dc.creatorWhitbread, Anthony M.
dc.creatorPaliwal, Ambica
dc.date2024-11-29
dc.date2025-01-31T11:39:24Z
dc.date2025-01-31T11:39:24Z
dc.date.accessioned2026-06-27T16:54:43Z
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/172648
dc.identifier.urihttp://hdl.handle.net/123456789/136856
dc.languageen
dc.publisherInternational Livestock Research Institute
dc.rightsOpen Access
dc.sourceCherotich, F., Leitner, S., Pearce, F., Rufino, M., Quinton, J., Dhulipala, R., Salavati, M., Gluecks, I., Whitbread, A. and Paliwal, A. 2024. Machine learning based gridded/ digital soil mapping for Kapiti Research Station and Wildlife Conservancy, Kenya. Poster prepared for the ILRI at Fifty, Nairobi, 29 November 2024. Nairobi, Kenya: ILRI.
dc.subjecterosion
dc.subjectresearch
dc.subjectsoil
dc.subjectsoil erosion
dc.subjectwildlife
dc.titleMachine learning based gridded/ digital soil mapping for Kapiti Research Station and Wildlife Conservancy, Kenya
dc.typePoster

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Instituto Internacional de Investigaciones Pecuarias (ILRI)