AFCAS 28: Leveraging data and statistics for agrifood systems transformation in Africa. Innovative methods for data disaggregation of SDG indicators with use cases from RAF and other regions.
| dc.date | 2024-05-21T09:45:25Z | |
| dc.date | 2024-05-21T09:45:25Z | |
| dc.date | 2024 | |
| dc.date | 2024-05-21T09:43:41Z | |
| dc.date.accessioned | 2026-06-27T20:31:06Z | |
| dc.format | application/pdf | |
| dc.identifier | https://openknowledge.fao.org/handle/20.500.14283/cd0138en | |
| dc.identifier | http://www.fao.org/3/cd0138en/cd0138en.pdf | |
| dc.identifier.uri | http://hdl.handle.net/123456789/196584 | |
| dc.language | English | |
| dc.publisher | FAO ; | |
| dc.rights | FAO | |
| dc.title | AFCAS 28: Leveraging data and statistics for agrifood systems transformation in Africa. Innovative methods for data disaggregation of SDG indicators with use cases from RAF and other regions. | |
| dc.title | African Commission on Agricultural Statistics. 28th session, 4-8 December 2023 | |
| dc.type | Presentation |
