1. Digital Field worker and the “MDS” application Lusaka, 30 th April Shaun Ferris

2. CRS Agriculture aims to Enhance Productivity Profitability Skills Asset management

3. Project manager Diseases Project staff ProductionSeeds/ inputs Project staff Farmer Groups 5000 + Theme leaders Master trainers CRS Project Field staff Local Partners Field Extension Agents 200 + Digital Fieldworker Platform ( Current Series data flow) Partner Staff FinanceMarketing Partner Staff

4. Project manager Project staff Theme leaders Master trainers Digital Fieldworker Platform (Parallel data flow) Partner Staff Accelerate Data Flow by replacing Series data mapping with parallel data flow With data quality checks

5. What is the market chain? Supply and demand Field Agent Training Kit agro-enterprise course for field agent

6. Main Technology Input devices

7. Minimum Data Set (MDS) Form 2. Biz Plan ……………………… ……………………… ….. Form 1. Farmer Group Registration…… ……………………… …………………….. Form 3. Profitability calculator GM………………… ………….. Form 4. Production Profile Rains Date planted, seed type Date weeded Date fertilized Date harvested # bags kept, # bags sold Form 5. Visit Log Date Duration Purpose Outcome Form 6. Baseline Sentinel Impact Δ Income Δ Assets Δ Food security Δ Trading relations Δ Income options Δ Service access First Phase is to complete the first three forms

8. MDS Registration Page

9. Gross Margin Analysis 8-9 bags / acresExchange rate 2,000 Production 7.5 100 bags / acre Calculation based on1acre Input costs MaterialsQuantityTypeUnit costs Total Tools Hoes5 3000 15,000 Panga3 2000 6,000 Hybrid seed10kg3000 30,000 Bags8bags600 4,800 Totals 55,800 Labour plowing 1st7.5hired4000 30,000 plowing 2nd5hired4000 20,000 Sowing2hired4000 8,000 Weeding 1st7.5hired4000 30,000 Weeding 2nd5hired4000 20,000 Harvest4hired4000 16,000 Totals 124,000 Total costs 179,800 Sales1000kg250 250,000 Gross income 70,200

10. MDS Profitability calculator

11. Cost Structure Key Resources Key Partners Key Activities Customer relations Customer segments Value proposition Channels Revenue MDS Business Planner

13. Rethinking - M&E Year 1Year 2Year 3Year 4Year 5 M&E systems Are we on track? Frequent Data flow What do we need to measure to support 100 enterprises?

14. Architecture Data Database 1 Database 2 Reports Field Agent Supervisor Program manager Country Global May 31 st August 31 st Air Adobe iforms

15. ICT4D GMCR AFG SARO 5 countries ICT4D India / Phil Pilot testing Timeline Version 2.0 MDS Launch 1.Launch 2. CRS focused and supported Amazon cloud hosted SaaS with partner Feb 2011May 2011Jan 2012

16. Conclusion Develop a system to collect basic project data Provide information that helps farmers Use that process to gather M&E data Analyse the data for both farm and project performance monitoring and upgrading Share data with other projects and partners