A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations
| Autores principales: | , , , |
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| Formato: | Póster |
| Lenguaje: | Inglés |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/163479 |
| _version_ | 1855530412729696256 |
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| author | Obahoundje, Salomon Tilahun, Seifu A. Zemadim, Birhanu Schmitter, Petra S. |
| author_browse | Obahoundje, Salomon Schmitter, Petra S. Tilahun, Seifu A. Zemadim, Birhanu |
| author_facet | Obahoundje, Salomon Tilahun, Seifu A. Zemadim, Birhanu Schmitter, Petra S. |
| author_sort | Obahoundje, Salomon |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Poster |
| id | CGSpace163479 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1634792025-11-07T08:51:33Z A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations Obahoundje, Salomon Tilahun, Seifu A. Zemadim, Birhanu Schmitter, Petra S. analysis machine learning remote sensing techniques climate change hazards climate variability crop yield crop production drought indicators food security risk management 2024-09-30 2024-12-14T09:56:36Z 2024-12-14T09:56:36Z Poster https://hdl.handle.net/10568/163479 en Open Access application/pdf Obahoundje, Salomon; Tilahun, Seifu A.; Zemadim, Birhanu; Schmitter, Petra. 2024. A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations. Poster presented at the Drought Resilience +10 Conference, Geneva, Switzerland, 30 September – 02 October 2024. |
| spellingShingle | analysis machine learning remote sensing techniques climate change hazards climate variability crop yield crop production drought indicators food security risk management Obahoundje, Salomon Tilahun, Seifu A. Zemadim, Birhanu Schmitter, Petra S. A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations |
| title | A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations |
| title_full | A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations |
| title_fullStr | A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations |
| title_full_unstemmed | A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations |
| title_short | A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations |
| title_sort | comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards induced crop yield variations |
| topic | analysis machine learning remote sensing techniques climate change hazards climate variability crop yield crop production drought indicators food security risk management |
| url | https://hdl.handle.net/10568/163479 |
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