Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling
cg.authorship.types | CGIAR single centre | en_US |
cg.contributor.affiliation | International Potato Center | en_US |
cg.contributor.affiliation | North Carolina State University | en_US |
cg.contributor.affiliation | University of Tennessee | en_US |
cg.contributor.affiliation | Centro Agronómico Tropical de Investigación y Enseñanza | en_US |
cg.contributor.affiliation | Universidad Nacional Agraria, Peru | en_US |
cg.contributor.donor | CGIAR Trust Fund | en_US |
cg.contributor.donor | Centro Ecuménico de Promoción y Acción Social Norte, Perú | en_US |
cg.contributor.initiative | AgriLAC Resiliente | en_US |
cg.coverage.region | South America | en_US |
cg.creator.identifier | Mariella Carbajal-Carrasco: 0000-0002-0386-7895 | en_US |
cg.creator.identifier | David Ramirez: 0000-0003-4546-9745 | en_US |
cg.subject.cip | CLIMATE CHANGE | en_US |
cg.subject.cip | CLIMATE-SMART AGRICULTURE | en_US |
dc.contributor.author | Carbajal, M. | en_US |
dc.contributor.author | Turin, C. | en_US |
dc.contributor.author | Schaeffer, S. | en_US |
dc.contributor.author | Quiróz, R. | en_US |
dc.contributor.author | Zorogastua, P. | en_US |
dc.contributor.author | Mendiburu, F. de | en_US |
dc.contributor.author | Ramírez, D. | en_US |
dc.date.accessioned | 2023-01-11T00:10:27Z | en_US |
dc.date.available | 2023-01-11T00:10:27Z | en_US |
dc.identifier.uri | https://hdl.handle.net/10568/126802 | en_US |
dc.title | Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling | en_US |
dcterms.accessRights | Open Access | en_US |
dcterms.audience | Academics | en_US |
dcterms.audience | CGIAR | en_US |
dcterms.audience | Development Practitioners | en_US |
dcterms.audience | Donors | en_US |
dcterms.audience | Extension | en_US |
dcterms.audience | Farmers | en_US |
dcterms.audience | General Public | en_US |
dcterms.audience | NGOs | en_US |
dcterms.audience | Policy Makers | en_US |
dcterms.audience | Scientists | en_US |
dcterms.bibliographicCitation | Carbajal, 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. | en_US |
dcterms.issued | 2022-12 | en_US |
dcterms.language | es | en_US |
dcterms.license | CC-BY-4.0 | en_US |
dcterms.publisher | International Potato Center | en_US |
dcterms.subject | soil | en_US |
dcterms.subject | soil fertility | en_US |
dcterms.type | Poster | en_US |