Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling

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dc.creatorCarbajal, M.
dc.creatorTurin, C.
dc.creatorSchaeffer, S.
dc.creatorQuiróz, R.
dc.creatorZorogastua, P.
dc.creatorMendiburu, F. de
dc.creatorRamírez, D.
dc.date2022-12
dc.date2023-01-11T00:10:27Z
dc.date2023-01-11T00:10:27Z
dc.date.accessioned2026-06-27T18:03:08Z
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/126802
dc.identifier.urihttp://hdl.handle.net/123456789/153537
dc.languageen
dc.publisherInternational Potato Center
dc.rightsOpen Access
dc.sourceCarbajal, M. Turin, C. Schaeffer, S. Quiroz, R. Zorogastua, P. Mendiburu, F. de Ramírez, D. 2022. Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling. International Potato Center.
dc.subjectsoil
dc.subjectsoil fertility
dc.titleRemote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling
dc.typePoster

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