In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review
Timely and accurate estimation of crop yield before harvest is crucial for national food policy and security assessments. Crop models and remote sensing techniques have been combined and applied in crop yield estimation on a regional scale. Previous studies have proposed models for estimating canopy...
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
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International Maize and Wheat Improvement Center
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/126995 |
| _version_ | 1855534829571932160 |
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| author | Xiong, Wei |
| author_browse | Xiong, Wei |
| author_facet | Xiong, Wei |
| author_sort | Xiong, Wei |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Timely and accurate estimation of crop yield before harvest is crucial for national food policy and security assessments. Crop models and remote sensing techniques have been combined and applied in crop yield estimation on a regional scale. Previous studies have proposed models for estimating canopy state variables and soil properties based on remote sensing data and assimilating these estimated canopy state variables into crop models. This paper presents an overview of the comparative introduction, latest developments and applications of crop models, remote sensing techniques, and data assimilation methods in the growth status monitoring and yield estimation of crops, facilitating the improvement of crop models and RS coupling approach in Africa. |
| format | Artículo preliminar |
| id | CGSpace126995 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | International Maize and Wheat Improvement Center |
| publisherStr | International Maize and Wheat Improvement Center |
| record_format | dspace |
| spelling | CGSpace1269952023-12-08T19:36:04Z In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review Xiong, Wei crop yield food policies models remote sensing canopy soil properties Timely and accurate estimation of crop yield before harvest is crucial for national food policy and security assessments. Crop models and remote sensing techniques have been combined and applied in crop yield estimation on a regional scale. Previous studies have proposed models for estimating canopy state variables and soil properties based on remote sensing data and assimilating these estimated canopy state variables into crop models. This paper presents an overview of the comparative introduction, latest developments and applications of crop models, remote sensing techniques, and data assimilation methods in the growth status monitoring and yield estimation of crops, facilitating the improvement of crop models and RS coupling approach in Africa. 2022-12-12 2023-01-12T19:59:38Z 2023-01-12T19:59:38Z Working Paper https://hdl.handle.net/10568/126995 en Open Access application/pdf International Maize and Wheat Improvement Center Xiong, Wei. 2022. In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review. Digital Innovation Working Paper. International Maize and Wheat Improvement Center (CIMMYT) |
| spellingShingle | crop yield food policies models remote sensing canopy soil properties Xiong, Wei In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review |
| title | In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review |
| title_full | In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review |
| title_fullStr | In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review |
| title_full_unstemmed | In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review |
| title_short | In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review |
| title_sort | in season crop yield forecasting in africa by coupling remote sensing and crop modeling a systematic literature review |
| topic | crop yield food policies models remote sensing canopy soil properties |
| url | https://hdl.handle.net/10568/126995 |
| work_keys_str_mv | AT xiongwei inseasoncropyieldforecastinginafricabycouplingremotesensingandcropmodelingasystematicliteraturereview |