Similar Items: 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
Author: Soethoudt, J.M.
- Mitigate+: Food Loss and Waste country profile Vietnam: Estimates of Food Loss and Waste, associated GHG emissions, nutritional losses, land use and water footprints
- Food Loss and Waste country profile for China - Estimates of Food Loss and Waste, associated GHG emissions and nutritional losses
- AI Monitoring Approach to Fill National Food Loss and Waste Data Gaps
- Food Loss and Waste country profile for Kenya - Estimates of Food Loss and Waste, associated GHG emissions and nutritional losses
- Generalized Linear Modelling to Fill National Food Loss and Waste Data Gaps
- Mitigate+: Food Loss and Waste country profile Colombia: Estimates of Food Loss and Waste, associated GHG emissions, nutritional losses, land use and water footprints