Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling
| Main Authors: | , , , , , , |
|---|---|
| Format: | Poster |
| Language: | Español |
| Published: |
International Potato Center
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/126802 |
| _version_ | 1855542691436167168 |
|---|---|
| author | Carbajal, M. Turin, C. Schaeffer, S. Quiróz, R. Zorogastua, P. Mendiburu, F. de Ramírez, D. |
| author_browse | Carbajal, M. Mendiburu, F. de Quiróz, R. Ramírez, D. Schaeffer, S. Turin, C. Zorogastua, P. |
| author_facet | Carbajal, M. Turin, C. Schaeffer, S. Quiróz, R. Zorogastua, P. Mendiburu, F. de Ramírez, D. |
| author_sort | Carbajal, M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Poster |
| id | CGSpace126802 |
| institution | CGIAR Consortium |
| language | Español |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | International Potato Center |
| publisherStr | International Potato Center |
| record_format | dspace |
| spelling | CGSpace1268022025-11-06T14:14:00Z Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling Carbajal, M. Turin, C. Schaeffer, S. Quiróz, R. Zorogastua, P. Mendiburu, F. de Ramírez, D. soil soil fertility 2022-12 2023-01-11T00:10:27Z 2023-01-11T00:10:27Z Poster https://hdl.handle.net/10568/126802 es Open Access application/pdf International Potato Center 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. |
| spellingShingle | soil soil fertility Carbajal, M. Turin, C. Schaeffer, S. Quiróz, R. Zorogastua, P. Mendiburu, F. de Ramírez, D. Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling |
| title | Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling |
| title_full | Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling |
| title_fullStr | Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling |
| title_full_unstemmed | Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling |
| title_short | Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling |
| title_sort | remote sensing and artificial intelligence for soil organic carbon geospatial modeling |
| topic | soil soil fertility |
| url | https://hdl.handle.net/10568/126802 |
| work_keys_str_mv | AT carbajalm remotesensingandartificialintelligenceforsoilorganiccarbongeospatialmodeling AT turinc remotesensingandartificialintelligenceforsoilorganiccarbongeospatialmodeling AT schaeffers remotesensingandartificialintelligenceforsoilorganiccarbongeospatialmodeling AT quirozr remotesensingandartificialintelligenceforsoilorganiccarbongeospatialmodeling AT zorogastuap remotesensingandartificialintelligenceforsoilorganiccarbongeospatialmodeling AT mendiburufde remotesensingandartificialintelligenceforsoilorganiccarbongeospatialmodeling AT ramirezd remotesensingandartificialintelligenceforsoilorganiccarbongeospatialmodeling |