Closing the data gap: A model for national-level food loss and waste data generation in the absence of existing data
In the UN many countries committed themselves to reduce FLW towards 20301. So-called national pathways are developed, written by governments, elaborating on how this will be established. In order to support and validate these efforts, FLW monitoring2 is required on national level. This is a complex...
| Autor principal: | |
|---|---|
| Formato: | Data Paper |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR Initiative on Low-Emission Food Systems
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/139054 |
Ejemplares similares: Closing the data gap: A model for national-level food loss and waste data generation in the absence of existing data
- Generalized Linear Modelling to Fill National Food Loss and Waste Data Gaps
- AI Monitoring Approach to Fill National Food Loss and Waste Data Gaps
- Executive Summary, Discussion and Next Steps: National Food Loss and Waste Models
- Revealing hidden food loss and waste data can fast-track emission reduction
- Closing the African data gap
- Food Loss and Waste country profile for China - Estimates of Food Loss and Waste, associated GHG emissions and nutritional losses