Enhancing Agricultural Production Preparedness Through Climate Information Services
Communities and different sectors prepare for agricultural production by involving various actors such as MSD, MLAFWRD, and extension services, utilizing seasonal forecasts, input support programs, and private sector financial support. Climate information services play a key role in crop yield projections through models like WRSI, with challenges in human capacity and spatial resolution. Expectations in new technologies include robust models with high spatial resolution and user-friendliness.
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Presentation Transcript
How do communities/ different sectors prepare for agricultural production Actors Role MSD Seasonal forecast MLAFWRD Extension messages, trainings Pre planting producer prices Input support programmes MoFED Fund Disbursements, input procurement for government programs , budgetary provisions Community Choice of / crop varieties enterprises based on the seasonal forecast Input procurement Private Sector Financial support, Contract farming; Input supply and positioning based on the seasonal forecasters
How is climate information services factored in crop yield projection WRSI and ground truthing (extension staff) Satellite data ONCOMING Zimbabwe National Geospatial and Space Agency (ZINGSA) Weather radars
What models are used for crop yield projections and their challenges WRSI is normally used for triangulation at the end of the season Challenges Human capacity Spatial resolution The issue of blending data
EXPECTATIONS IN NEW TECHNOLOGIES Robust Models with have high spatial resolution Models should be user friendly with minimal manipulation by the user Interconnectivity and easily accessible by users and end users.
