aagw2010 june 08 laban macopiyo agcommons

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    The Who, Why, How & What

    By:Laban MacOpiyo, Director

    &Enrica Porcari, Programme Leader

    1

    AGCommons

    (Agricultural Geospatial Commons)

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    Why.

    Improve incomes and

    lives of small farmers

    in Sub-Saharan Africa

    through location-

    specific information.

    MISSION

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    How we got to AGCommons

    Deciding Planting Growing Harvesting/Transport

    Selling

    3

    Information Needs

    Price

    Availability

    Suitability

    Credit

    Data Sources

    Market intelligence

    Soils , water andclimate data

    Credit offers

    Providers

    Agric Ministry

    Other Gov Farmers Assoc.

    Ag Research

    Local NGOs

    Intl Dev Orgs

    Financialinstitutions

    Extension Workers

    Information Needs

    Sowing date

    Preparation advice

    Soil fertility advice Pest and disease

    management advice

    Data Sources

    Rainfall forecasts

    Cultivation bestpractices

    Soil informationservice

    Providers

    Agric Ministry

    Farmers

    Association

    Ag Research

    Extension Workers

    Information Needs

    Pest and diseasemitigation advice

    Crop managementadvice

    Irrigation advice

    Data Sources

    Pest and diseasemonitoring andforecasts

    Rainfall forecasts

    Providers

    Farmers

    associations

    Other Gov

    Ag Research

    Local NGOs

    Extension Workers

    Information Needs

    Price

    Storage cost and

    availability Transport cost and

    availability

    Data Sources

    Storage, market andtrade hub locations

    Market prices andstorage costs

    Providers

    Financialinstitutions

    Farmers Assoc.

    Ag Research

    Local NGOs

    Extension workers

    Information Needs

    Price

    Market/trader

    location Travel cost and

    availability

    Data Sources

    Market prices bylocation andproduct

    Travel cost surface

    Providers

    Extension workers

    Other Gov

    Local NGOs

    FinancialInstitutions

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    The outreach findings

    Meetings and workshops involving more than

    80 organizations in West and East Africa

    Key challenges to effectively reach small

    holder farmers

    Accessibility to data and technology: overcoming

    technical, political, cultural and cost constraints

    Enabling the field role: dissemination and collection, two-

    way data flow

    Impact can be enhanced by adding location

    context to inform key decisions

    4

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    Quick Wins

    Crop Disease Surveillance

    (Grameen TechnologyCenter)

    Build and test mobile

    tools for reporting pest &

    disease outbreaks in

    Uganda Conduct site visits and

    take field samples

    Analyze incoming data to

    create maps

    6

    Nodes of Growth:

    Legume Seed Networks(CIAT)

    Mapping of existing seed

    dealers to make

    decisions on new outlets

    Create disseminationmaps for farmers

    Feasibility for

    dissemination via mobile

    phone

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    Quick Wins

    G-roads: Roads Data

    Development in Ethiopia(IMMAP, RCMRD, CIESIN)

    Mapping of market

    access (roads) and

    agriculture points of

    interest Initial focus on Ethiopia

    Using customized

    Cybertracker/GPS

    All roads data collected

    are open and freely

    available

    7

    Africats: Trial Sites

    Catalogue(CGIAR)

    Providing access to over

    200 seed testing

    networks in Africa

    New varieties of seedsare available but

    information on growing

    conditions were not.

    SIBWA: Seeing is

    Believing, West Africa(ICRISAT, Mali)

    Unlocking precision

    agriculture in West

    African smallholder

    communities with veryhigh resolution imagery

    Applying value of Quick

    Bird imagery to small

    scale farming

    Talking to farmers

    http://www.groads.org http://africats.org

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    Location IntelligenceEnables interpretation of complex analytics

    the power of where to optimize performance

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    Multiple Perspectives Many Sources

    Proprietary and Confidential AWhere, Inc. April 2008

    Institutions and Individualshave much to offer and much

    to share

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    What is AGCommons?

    AGCommons

    Service Bureau

    Multi-dimensionalMulti-directional

    AGCommons LBI Platform

    RemoteSensing

    Production

    Cropstype

    Pest

    Tracking

    Project data: Agriculture example

    Soilsfertility

    Financial

    Industrial

    Agriculture

    Education

    Governance

    Policy

    Business

    Sustainable Development

    Census Alerts Reports Requests

    Actionable Insight Local to Strategic

    Economics

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    11

    Interrelationships that might otherwise be difficult todescribe or explain are often readily understood when visuallypresented.

    visualization drives the next question

    The map visualization delivers accurate, high-impact informationcontent, enabling decision makers to quickly gain anunderstanding of the key issues.

    Patterns:

    clusters, outliers, boundaries, trends, min/max/mean, gaps

    AGCOMMONS Core Competencies

    Location Based Intelligence!!!

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    Location Based Intelligence

    Multidirectional!

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    Farmer Facing (Realtime!)

    13

    Alerts: across partners Disseminated information system

    Up and Download

    GPS!

    Dynamic aggregation

    Communication

    Connect the team

    Forum, FAQs, Blog

    Communication!

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    Policy, Research Facing (Realtime!)

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    Policy, Research Facing

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    M&E - institutional memory, transparency and

    accountability, move away from data silos!

    16

    AGCommons: Ready to transform performance, M&E,

    communication

    Proven Location Intelligence platform

    No organizational re-engineering required

    Strategic data partnerships

    Low IT impact

    Scalable platform; rapid deployments

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    Backend

    AGCommons

    Service Bureau

    Data Collection

    Harmonization,Management

    & Dissemination

    ProjectVisualization

    DecisionSupport

    Communication& Advocacy

    M&E Support

    DS PV, C & A DS/ME

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    Data Services

    Field data collection Full service for robust, quality-

    controlled effort on theground

    Hardware provisioning,software, training, field

    campaign planning andmanagement.

    Meso-scale collection

    Aerial-orthophotography andphotogrammetry

    Data research andprocurement Desktop research and

    evaluation

    Licensing and acquisition

    18

    Hosting Library Services

    Web Access, Thematic Framework,User Licensing

    Data Translation and Processing Format conversion

    Imagery feature extraction Data fusion

    Field collected, modeled, remotelysensed, historical

    Dissemination Metadata catalogue

    Searchable, Discoverable,Crawlable

    APIs Web Mapping Service (WMS),

    Short Messaging Service (SMS)

    DS PV, C & A DS/ME

    P j Vi li i C i i &

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    Project Visualization, Communications &

    Advocacy Cartography and Mapping

    Traditional Static Maps Maps targeted for a

    specific audience orpurpose

    Atlas Products

    Map services for largescale products

    Dynamic Maps

    Map books

    Thematically organizedcontent, updatedynamically

    Web Maps

    Interactive online maps

    19

    Trial Sites Interactive Map

    SIBWA

    TailoredField

    Maps

    Graphics and maps for

    marketing and outreach Context maps

    Project web maps

    Spatial Intelligence

    Location based

    services SMS data delivery

    Social media

    Map illustrating where the project isworking and who is involved in thework.

    DS PV, C & A DS/ME

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    Decision, M&E Support

    Spatial Analysis

    Characterization (querythe data)

    Where questions

    Targeting

    Overlay analysis

    Suitability

    Network analysis Travel time and

    accessibility

    Modeling (test scenarios)

    What if questions

    Geostatistics

    20

    Nodes of Growth: ProjectDesign via Spatial Analysis

    Comparison of modeled riceproduction with seed dealers

    Environmental change mapping

    Time series mapping: Water,soils, landcover

    Social change monitoring

    Time series mapping: Poverty

    & health indicators

    Ex ante/Ex post evaluation Field sampling

    KPI mobile data collection

    In situ sensors

    Spatial Analysis framework

    Quantitative and Qualitative

    VisualizingChanges inEnvironmentalIndicators

    DS PV, C & A DS/ME

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    How Principles

    Build on other efforts

    Outreach efforts: listen to the needs

    Not on our own: partnerships USAID, CGAIR,SERVIR-Africa, RCMRD, ESRI.thats the

    beginning

    Gain experience and proof-of-concept

    through 5 quick win projects

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    The Real Story

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    LocalFarmers

    Produces harmonized

    spatial data foragriculture decisions

    Produces Droppr as

    an interface to

    HarvestChoice data

    Uses ICT expertise to

    modify Droppr for the

    local environment,

    provides access tolocalized spatial data.

    Uses Droppr and

    AGCommons data to

    help call center

    workers help local

    farmers

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    But what is IT?

    The AGCommons technical environment is a Platform

    AGCommons is Notjust one Application

    Open Source GISGoogle Earth

    Server GIS Offline Mapping

    UN CGIARSOCIAL

    MEDIANATIONAL LOCAL PROJECTS

    GeoSMSDirect APIs

    Data Sources

    Modeling Environment

    AGCommons

    www.agcommonsplatform.com

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    What is AGCommons?

    AGCommons

    Service Bureau

    Multi-dimensionalMulti-directional

    AGCommons LBI Platform

    RemoteSensing

    Production

    Cropstype

    Pest

    Tracking

    Project data: Agriculture example

    Soilsfertility

    Financial

    Industrial

    Agriculture

    Education

    Governance

    Policy

    Business

    Sustainable Development

    Census Alerts Reports Requests

    Actionable Insight Local to Strategic

    Economics

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    Africa Agriculture GISWeek And a GIS ShareFair:

    exhibitors

    training sessions

    thematic workshops

    presentation sessions

    Meet the Quick-Wins!