Seasonal scenario planning for matching seed supply and demand: Final report
Probabilistic scenario planning in agriculture is a procedure that uses available data and expert estimates to inform decision-making across the food system in a way that minimizes economic risk. This report summarizes the sustained application of the project outputs. It includes a synthesis of a pr...
| Main Authors: | , |
|---|---|
| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/118337 |
| _version_ | 1855517104664477696 |
|---|---|
| author | Steinke, Jonathan Ortíz Crespo, Berta |
| author_browse | Ortíz Crespo, Berta Steinke, Jonathan |
| author_facet | Steinke, Jonathan Ortíz Crespo, Berta |
| author_sort | Steinke, Jonathan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Probabilistic scenario planning in agriculture is a procedure that uses available data and expert estimates to inform decision-making across the food system in a way that minimizes economic risk. This report summarizes the sustained application of the project outputs. It includes a synthesis of a project reflection event and of the overall project, highlighting the main findings. |
| format | Informe técnico |
| id | CGSpace118337 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| record_format | dspace |
| spelling | CGSpace1183372025-11-05T11:02:54Z Seasonal scenario planning for matching seed supply and demand: Final report Steinke, Jonathan Ortíz Crespo, Berta agricultural planning seed systems risk management monitoring systems planificación agrícola sistemas de semillas gestión de riesgos Probabilistic scenario planning in agriculture is a procedure that uses available data and expert estimates to inform decision-making across the food system in a way that minimizes economic risk. This report summarizes the sustained application of the project outputs. It includes a synthesis of a project reflection event and of the overall project, highlighting the main findings. 2022-02 2022-03-04T08:34:45Z 2022-03-04T08:34:45Z Report https://hdl.handle.net/10568/118337 en Open Access application/pdf Steinke, J.; Ortiz-Crespo, B. (2022) Seasonal scenario planning for matching seed supply and demand: Final report. 4 p. |
| spellingShingle | agricultural planning seed systems risk management monitoring systems planificación agrícola sistemas de semillas gestión de riesgos Steinke, Jonathan Ortíz Crespo, Berta Seasonal scenario planning for matching seed supply and demand: Final report |
| title | Seasonal scenario planning for matching seed supply and demand: Final report |
| title_full | Seasonal scenario planning for matching seed supply and demand: Final report |
| title_fullStr | Seasonal scenario planning for matching seed supply and demand: Final report |
| title_full_unstemmed | Seasonal scenario planning for matching seed supply and demand: Final report |
| title_short | Seasonal scenario planning for matching seed supply and demand: Final report |
| title_sort | seasonal scenario planning for matching seed supply and demand final report |
| topic | agricultural planning seed systems risk management monitoring systems planificación agrícola sistemas de semillas gestión de riesgos |
| url | https://hdl.handle.net/10568/118337 |
| work_keys_str_mv | AT steinkejonathan seasonalscenarioplanningformatchingseedsupplyanddemandfinalreport AT ortizcrespoberta seasonalscenarioplanningformatchingseedsupplyanddemandfinalreport |