Seasonal scenario planning for matching seed supply and demand: Final report
Date Issued
2022-02Language
enType
ReportAccessibility
Open AccessUsage rights
CC-BY-4.0Metadata
Show full item recordCitation
Steinke, J.; Ortiz-Crespo, B. (2022) Seasonal scenario planning for matching seed supply and demand: Final report. 4 p.
Permanent link to cite or share this item: https://hdl.handle.net/10568/118337
Abstract/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.