Statistics from space: a new approach to agricultural production data for Mozambique
Crop production statistics are essential for any government, but especially so in Mozambique where agriculture accounts for a quarter of economic production and the livelihoods of 80 percent of the population. The Statistics from Space project, funded by the Government of the Republic of Korea, aims...
| Autor principal: | |
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| Formato: | Blog Post |
| Lenguaje: | Inglés |
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CGIAR
2024
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| Acceso en línea: | https://hdl.handle.net/10568/151569 |
| _version_ | 1855526048292143104 |
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| author | Valmonte-Santos, Rowena |
| author_browse | Valmonte-Santos, Rowena |
| author_facet | Valmonte-Santos, Rowena |
| author_sort | Valmonte-Santos, Rowena |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Crop production statistics are essential for any government, but especially so in Mozambique where agriculture accounts for a quarter of economic production and the livelihoods of 80 percent of the population. The Statistics from Space project, funded by the Government of the Republic of Korea, aims to develop a highly accurate and efficient system to estimate and forecast production of different crops across the country by 2025. The project team worked closely with stakeholders in the Mozambique government to identify their pain points and what would be needed from a new system. They identified challenges such as the diverse cropping systems in Mozambique, the high cost of its current system and timeliness, reliability, and usability. Since the project aligns closely with CGIAR Initiative on Digital Innovation, which focuses on harnessing digital technologies for better decision-making in food, land, and water systems, the Initiative team actively participates in the project to promote synergies in supporting the crop production information system. |
| format | Blog Post |
| id | CGSpace151569 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | CGIAR |
| publisherStr | CGIAR |
| record_format | dspace |
| spelling | CGSpace1515692025-06-30T08:32:22Z Statistics from space: a new approach to agricultural production data for Mozambique Valmonte-Santos, Rowena agricultural production data forecasting cropping systems digital technology Crop production statistics are essential for any government, but especially so in Mozambique where agriculture accounts for a quarter of economic production and the livelihoods of 80 percent of the population. The Statistics from Space project, funded by the Government of the Republic of Korea, aims to develop a highly accurate and efficient system to estimate and forecast production of different crops across the country by 2025. The project team worked closely with stakeholders in the Mozambique government to identify their pain points and what would be needed from a new system. They identified challenges such as the diverse cropping systems in Mozambique, the high cost of its current system and timeliness, reliability, and usability. Since the project aligns closely with CGIAR Initiative on Digital Innovation, which focuses on harnessing digital technologies for better decision-making in food, land, and water systems, the Initiative team actively participates in the project to promote synergies in supporting the crop production information system. 2024-08-02 2024-08-07T16:02:35Z 2024-08-07T16:02:35Z Blog Post https://hdl.handle.net/10568/151569 en https://hdl.handle.net/10568/149121 https://hdl.handle.net/10568/149107 https://hdl.handle.net/10568/149123 https://hdl.handle.net/10568/149122 https://hdl.handle.net/10568/149120 Open Access CGIAR Valmonte-Santos, Rowena. 2024. Statistics from space: a new approach to agricultural production data for Mozambique. Digital Innovation Initiative Blog. Washington, DC: International Food Policy Research Institute |
| spellingShingle | agricultural production data forecasting cropping systems digital technology Valmonte-Santos, Rowena Statistics from space: a new approach to agricultural production data for Mozambique |
| title | Statistics from space: a new approach to agricultural production data for Mozambique |
| title_full | Statistics from space: a new approach to agricultural production data for Mozambique |
| title_fullStr | Statistics from space: a new approach to agricultural production data for Mozambique |
| title_full_unstemmed | Statistics from space: a new approach to agricultural production data for Mozambique |
| title_short | Statistics from space: a new approach to agricultural production data for Mozambique |
| title_sort | statistics from space a new approach to agricultural production data for mozambique |
| topic | agricultural production data forecasting cropping systems digital technology |
| url | https://hdl.handle.net/10568/151569 |
| work_keys_str_mv | AT valmontesantosrowena statisticsfromspaceanewapproachtoagriculturalproductiondataformozambique |