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E-AGRI: ACTIVITIES IN Kenya

E-AGRI: ACTIVITIES IN Kenya. Charles Situma Nairobi , Kenya Charles.situma@yahoo.com. 24 th March,2011. KENYA. 2000’s. 1970’s. 1980’s. Agriculture. Agricultural areas – Kenya Provinces. Agricultural Areas Km2. Observation.

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E-AGRI: ACTIVITIES IN Kenya

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  1. E-AGRI: ACTIVITIES IN Kenya Charles Situma Nairobi , Kenya Charles.situma@yahoo.com 24th March,2011

  2. KENYA

  3. 2000’s 1970’s 1980’s

  4. Agriculture Agricultural areas – Kenya Provinces Agricultural Areas Km2

  5. Observation • Expanding Earth Observation Applications in Agriculture and Promoting Capacity Building in Developing Countries • Monitoring of agricultural production leading to accurate and timely reporting of national agricultural statistics and accurate forecasting of shortfalls in crop production and food supply • Effective early warning of famine, enabling timely mobilization of an international response in food aid

  6. Required • Capacity building • state-of-the art models for Agricultural and forest monitoring • gain experience in applicability of these models to local conditions • adapt or select the appropriate models for integration in local operational workflows

  7. Activities • Agricultural crop and biomass predictive models • Short term on-hand workshop (expose DRSRS participants to state-of-the art models and newly available satellite data sets) • 1-2 month training • Exposure on existing cases (Morocco, China etc) • Tools (infrastructure): AMESD

  8. Collaborative effort: DRSRS, Alterra and VITO to set-up: • Local crop data infrastructure and database. • Train on generation of crop calendars, plant density, area, yields, LAI, ETP, etc. • Train on calibration of crop parameters at local level • Calibrate crop model local varieties especially for phenology and yield level

  9. Collaborative effort: DRSRS, Alterra and VITO to set-up: • Local crop data infrastructure and database. • Train on generation of crop calendars, plant density, area, yields, LAI, ETP, etc. • Train on calibration of crop parameters at local level • Calibrate crop model local varieties especially for phenology and yield level

  10. Area estimation: CGMS China( ); Morocco ( ) Yield estimation: BioMA China( ); Morocco ( ) Workshops: Kenya ( ); Morocco ( ) Training:

  11. Workplan

  12. Thank you!

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