[Day 3] The Csi Cg Ag Commons Future

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[Day 3] The Csi Cg Ag Commons Future

  1. 1. AGCommons The CSI/CG AGCommons Future where and when do we meet?
  2. 2. Primary focus  Provide location-specific, timely advisory services to – Farmer – Farmer community – Farm radio station – Cooperatives – Grassroots orgs and NGOs – Agro-market sector – Government – Research centres – Training institutes
  3. 3. What are such information service characteristics?  Must be relevant  Must be actionable – filter out noise – informs a decision – know the receiver – leads to work activity • – tradition may be in the way history • status quo  Must be timely • plans – pro-active advice • location of operation – partly real-time data based • needs and wishes  Must be reliable  Must be parsable – build up trust – illiteracy, irrationality – know past advices – language barriers – advice good-practice – cultural barriers
  4. 4. Some realities
  5. 5. Roads
  6. 6. Tomato travel  New Agriculturist (2005) reported Post-Harvest Loss in W African ranges from 20-100%
  7. 7. From tomato flesh to soup
  8. 8. Real-time data  Eumetsat data and data archive  GeoNetcast distribution
  9. 9. GEONETCAST Capabilities : visualization Every 15 minutes another image is animated -> 96 / day Features: nearly fully automated settings used can be easily changed, like: •projection •area of interest •change background animation prepared by standard Windows XP tools done within 20 minutes Virtually every derived parameter in a time series can be animated, also with annotation
  10. 10. Import from Eumetsat Archive MPE time series  24 hr aggregated precipitation Rainfall (mm) - 100 - 0 Time period (UTC): 2007-06-18-07:00 hr to 2007-06-19-06:45 hr 96 images
  11. 11. Other satellite products, example VGT – 10 day Dry Matter Productivity Normalized Difference Vegetation Index kgDM/ha/day VGT4Africa.org Vegetation Production Indicator Normalized Difference Water Index Reference to Normal Vegetation development Below Above
  12. 12. CGIAR researcher role  Step out of your research shell for this session only  Reflect on big picture in the agro sector and role of CG  Reflect on what your research efforts produce – in data sources – in understanding and knowledge that is exploitable to farmers and farmer orgs.  Towards location-specific knowledge exploitation for advisory services  What can be exploited?
  13. 13. Provocations  Accessibility  Map – not secured through a web portal – pre-21st century technique to  The farm-specific data stack convey spatial, static information – farmer profiling – not your farmer info-product   Agro-economic development Seasonality – crop rotation – need to understand the seasons – farm development, 5-year plans of all processes (also roads, inputs, markets) and their – district produce diversification dependencies  Cultural diversity is location-  Real-time data specific – shorten the info-cycles – no one-size-fits-all solutions – crucial for up-to-date advisories  Making apps location-unspecific and short-term predictions that (=generic) can help build trust  Farmer sensor network – she knows the farm – surveillances => local early warning – together they know the district – ground-truthing army
  14. 14. Themes for discussion now …  The communication channels  Collaboration schemes for AGC  Business models and sustainable approaches  The potential of real-time data and the wall- to-wall ambition  The farmer peer-to-peer e-Bay and long-term farmer information communities  Ex ante impact assessment on farmer communities
  15. 15. Primary focus

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