Digital platform for rice yield simulation under current and future climate conditions
A digital platform for rice yield simulation is essential for assessing the impact of climate change on rice production and guiding adaptation strategies. Using data from 17,647 fields across 12 West African countries, the tool integrates climate, soil, and agronomic variables, achieving over 75% ac...
| Autores principales: | , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2024
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| Acceso en línea: | https://hdl.handle.net/10568/169281 |
| _version_ | 1855527501364723712 |
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| author | Donou, Cedarta Dossou-Yovo, E. R |
| author_browse | Donou, Cedarta Dossou-Yovo, E. R |
| author_facet | Donou, Cedarta Dossou-Yovo, E. R |
| author_sort | Donou, Cedarta |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A digital platform for rice yield simulation is essential for assessing the impact of climate change on rice production and guiding adaptation strategies. Using data from 17,647 fields across 12 West African countries, the tool integrates climate, soil, and agronomic variables, achieving over 75% accuracy in yield prediction. It incorporates future climate scenarios, enabling the assessment of climate change impacts and the identification of appropriate adaptation technologies. To maximize the impact of the digital platform for rice yield simulation, challenges such as data limitations, model assumptions, and accessibility issues must be addressed by strengthening data collection, refining model calibration, and improving user engagement. Key recommendations include enhancing data integration, improving model accuracy, increasing accessibility, providing training, fostering stakeholder collaboration, and incorporating climate risk management to support climate resilience and sustainable rice production in West Africa. |
| format | Informe técnico |
| id | CGSpace169281 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1692812025-11-11T17:02:09Z Digital platform for rice yield simulation under current and future climate conditions Donou, Cedarta Dossou-Yovo, E. R rice yields adaptation climate change A digital platform for rice yield simulation is essential for assessing the impact of climate change on rice production and guiding adaptation strategies. Using data from 17,647 fields across 12 West African countries, the tool integrates climate, soil, and agronomic variables, achieving over 75% accuracy in yield prediction. It incorporates future climate scenarios, enabling the assessment of climate change impacts and the identification of appropriate adaptation technologies. To maximize the impact of the digital platform for rice yield simulation, challenges such as data limitations, model assumptions, and accessibility issues must be addressed by strengthening data collection, refining model calibration, and improving user engagement. Key recommendations include enhancing data integration, improving model accuracy, increasing accessibility, providing training, fostering stakeholder collaboration, and incorporating climate risk management to support climate resilience and sustainable rice production in West Africa. 2024-12 2025-01-16T16:17:55Z 2025-01-16T16:17:55Z Report https://hdl.handle.net/10568/169281 en Open Access application/pdf Donou, C., Dossou-Yovo, E. R. 2024. Digital platform for rice yield simulation under current and future climate conditions. AICCRA Report. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | rice yields adaptation climate change Donou, Cedarta Dossou-Yovo, E. R Digital platform for rice yield simulation under current and future climate conditions |
| title | Digital platform for rice yield simulation under current and future climate conditions |
| title_full | Digital platform for rice yield simulation under current and future climate conditions |
| title_fullStr | Digital platform for rice yield simulation under current and future climate conditions |
| title_full_unstemmed | Digital platform for rice yield simulation under current and future climate conditions |
| title_short | Digital platform for rice yield simulation under current and future climate conditions |
| title_sort | digital platform for rice yield simulation under current and future climate conditions |
| topic | rice yields adaptation climate change |
| url | https://hdl.handle.net/10568/169281 |
| work_keys_str_mv | AT donoucedarta digitalplatformforriceyieldsimulationundercurrentandfutureclimateconditions AT dossouyovoer digitalplatformforriceyieldsimulationundercurrentandfutureclimateconditions |