Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon
| Autores principales: | , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2020
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/109604 |
| _version_ | 1855521510947553280 |
|---|---|
| author | Silatsa, F.B. Yemefack, Martin Tabi, F.O. Heuvelink, G.B. Leenaars, J.G. |
| author_browse | Heuvelink, G.B. Leenaars, J.G. Silatsa, F.B. Tabi, F.O. Yemefack, Martin |
| author_facet | Silatsa, F.B. Yemefack, Martin Tabi, F.O. Heuvelink, G.B. Leenaars, J.G. |
| author_sort | Silatsa, F.B. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Journal Article |
| id | CGSpace109604 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1096042025-02-19T13:42:13Z Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon Silatsa, F.B. Yemefack, Martin Tabi, F.O. Heuvelink, G.B. Leenaars, J.G. soil soil organic carbon land management regression analysis hybridization cameroon climate change 2020-05 2020-09-23T14:22:05Z 2020-09-23T14:22:05Z Journal Article https://hdl.handle.net/10568/109604 en Limited Access Elsevier Silatsa, F.B., Yemefack, M., Tabi, F.O., Heuvelink, G.B. & Leenaars, J.G. (2020). Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon. Geoderma, 367, 114260: 1-13. |
| spellingShingle | soil soil organic carbon land management regression analysis hybridization cameroon climate change Silatsa, F.B. Yemefack, Martin Tabi, F.O. Heuvelink, G.B. Leenaars, J.G. Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon |
| title | Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon |
| title_full | Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon |
| title_fullStr | Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon |
| title_full_unstemmed | Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon |
| title_short | Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon |
| title_sort | assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in cameroon |
| topic | soil soil organic carbon land management regression analysis hybridization cameroon climate change |
| url | https://hdl.handle.net/10568/109604 |
| work_keys_str_mv | AT silatsafb assessingcountrywidesoilorganiccarbonstockusinghybridmachinelearningmodellingandlegacysoildataincameroon AT yemefackmartin assessingcountrywidesoilorganiccarbonstockusinghybridmachinelearningmodellingandlegacysoildataincameroon AT tabifo assessingcountrywidesoilorganiccarbonstockusinghybridmachinelearningmodellingandlegacysoildataincameroon AT heuvelinkgb assessingcountrywidesoilorganiccarbonstockusinghybridmachinelearningmodellingandlegacysoildataincameroon AT leenaarsjg assessingcountrywidesoilorganiccarbonstockusinghybridmachinelearningmodellingandlegacysoildataincameroon |