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Probabilistic scenario planning in agriculture: balancing risks through data-driven forecasting
| Content Provider | Consultative Group on International Agricultural Research (CGIAR) |
|---|---|
| Author | Steinke, Jonathan Ortíz Crespo, Berta |
| 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. |
| Sponsorship | ISSD Africa Swiss Agency for Development and Cooperation |
| Related Links | https://cgspace.cgiar.org/items/fb700fcf-8d69-4061-8dd8-1c11282b026e |
| File Format | |
| Language | English |
| Access Restriction | Open |
| Rights License | CC-BY-4.0 |
| Subject Keyword | Risk Management Data Collection Weather Forecasting Agricultural Planning Gestión De Riesgos Colección De Datos Pronóstico Del Tiempo Climate Change Adaptation Farming Systems Resilience |
| Content Type | Text |
| Resource Type | Report |
| Subject | Agronomy and Crop Science Food Science Plant Science |