9. The Sahelian Drylands Area: 1.2 million km 2 Population: 38 million Millet & sorghum belt: 23 million ha Initial Impact zones targeted by AfSIS Nigeria Kenya Malawi Tanzania Mali Humid Forest Zone Area: 5.8 million km 2 Population: 168 million Cassava belt: 18 million ha NERICA potential: 2 million ha Moist Savanna and Woodland Zones Area: 4.4 million km 2 Population: 157 million Maize belt: 32 million ha CA potential: 7 million ha S N E W 0 1000 2000 kilometers
31. Steps towards dissemination soil fertility ISFM management trials possible spatial intervention domains geo-referenced spatial soils data & information cyber space other dissemination media management recommendations Policy guidelines & Briefs 1 2 3 4 5 6 7 8 9 10 F F Obj 3 Obj 4 Obj 4 Objs 4 & 5 F Objs 2 & 5 legacy data analysis analysis & interpretation diagnostic deductions analysis & interpretation diagnostic deductions
32. AfSIS dissemination construction & user concerns object location geometric attributes soil attributes HARDWARE SOFTWARE KNOWLEDGE WHO? HOW? WHERE? WHAT? USERS USERS USERS USERS GIS system interface User concerns & project objectives response interface 3,4 3,4,5 2,5 2,5 object Specific objective attention domains
33. Who? International National Local HarvestChoice Agro-dealers Researchers HarvestPlus Fertilizer buyers Local public extension service providers Fertilizer manufacturers Fertilizer blenders CBOs/NGOs AGRA Public extension service providers Agri-business African CGIAR scientists Seed companies Media Regional networks Private advisory services Local policy makers Un agencies Policy makers & regulators NUANCES-farmers NEPAD Agricultural investors Breeders Development partners Researchers & students Watershed managers Global climate modelers Ecosystem modelers & land use planners
34. What Themes Measured attributes Predicted attributes Keith obj3 soil samples spectral signatures inherent soil properties Markus obj3 Field and sampled soil properties Functional soil properties Jeroen obj4 yield responses to different management treatments Decision framework to arrive at predicted responses for different management scenarios
35. Covariates 1. Data Input 2. Soil properties Soil Map Clay OC pH BD Water storage Al toxicity Fertilizer response Erosion Carbon Management 3. Soil functions Spatial inference models Pedotransfer functions Social Covariates 4. Management Inputs 5. Management recommendations Fertilizer application Erosion control Climate mitigation Crop selection Irrigation 6. End Users Decision analysis Decision analysis Training Dissemination Cyber- infrastructure Legacy & new data Legacy data Policy-makers Extension Scientists Farmers Agro-business
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38. Dissemination tools in AfSIS Target Audience Tools Local, national TV, Radio, Print Media Mailing list CDs, DVDs, Extension & farmers Wireless and mobile phones Farmers indirectly, Local & National Extension (public, private, NGOs, etc) International, national, district, local Workshops Global Scientists Publications Global Google Earth et al. Global Project Website & Blogs
39. AFSIS PROJECT DATABASE WEATHER CHANNEL AGRO DEALERS DIGITAL MAP COMMODITY TRADERS FARMERS, AGRO-DEALERS REGISTER & DATABASE NUANCES EXTENSION SERVICE NATIONAL POLICY MAKERS DEVELOPMENT PARTNERS INVESTORS GSM NETWORKS PRIVATE IT COMPANY FARMERS & AGRO-DEALERS FARMER’S & AGRODEALERS REQUESTS SOIL WEATHER PRICES MARKETS E-CREDIT COMPANIES NGOS CBOS SCIENTIFIC COMMUNITY GOOGLE EARTH IMPACT ORIENTED DISSEMINATION POSSIBLE END USERS Impact!-How? FARMER SUPPORT SERVICES COMPANY RESPONSE