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

CRS Agriculture aims to Enhance Productivity Profitability Skills Asset management

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

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

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

Main Technology Input devices

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

MDS Registration Page

Gross Margin Analysis 8-9 bags / acresExchange rate 2,000 Production bags / acre Calculation based on1acre Input costs MaterialsQuantityTypeUnit costs Total Tools Hoes ,000 Panga ,000 Hybrid seed10kg ,000 Bags8bags600 4,800 Totals 55,800 Labour plowing 1st7.5hired ,000 plowing 2nd5hired ,000 Sowing2hired4000 8,000 Weeding 1st7.5hired ,000 Weeding 2nd5hired ,000 Harvest4hired ,000 Totals 124,000 Total costs 179,800 Sales1000kg ,000 Gross income 70,200

MDS Profitability calculator

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

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?

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

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

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