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USING HARVESTCHOICE DATA AND TOOLS TO INFORM AGRICULTURAL
INVESTMENT IN AFRICA
D8- Open Data for AgricultureSide Event at IFPRI, Washington DC,May 1, 2013
WhoWeAre,WhatWeDo…
Researchprogramco-ledby the International Food
PolicyResearchInstitute (IFPRI, CGIAR) and
Universityof Minnesota.
 Wegeneratedata productsto help guide
strategicinvestments for moreproductive and
profitablefarming in sub-SaharanAfrica.
 Wedo this through:
• Harmonizedand geo-referenced datasets at
administrative unitsdown to 10-km grid
• Analytics,modeling and data visualization tools
• Flagshipstudies,atlases
Questionswearepassionateabout…
 Whereare the poor and what is
theirwelfarestatus?
 Which farming systemsdo the
poormost depend?
 How best to tune productivity
targetsto different sub-national
conditions?
 What arethe constraints affecting
on-farmproductivity, technology
adoption, and marketintegration?
 What investments in technologies
andpractices might best address
thoseconstraints?
 What is the aggregatelandscape
of investments acrossthe region?
 What arethe benefits of
investmentson productivity, farm
incomeand ultimately,the
reduction of povertyand hunger,
andincome distribution?
HowWeDoIt…
CropModelingatglobalandregional-scaleongrids
Seasonality
Soil Fertility
Harvested Area
Average Rainfall
Yield Potential
IMPACT…
Where is HarvestChoice open data making a
difference?
 Bill & Melinda Gates Foundationstrategy refresh, country and
value-chain targeting
 G-8New Alliance priority-setting tools
 USAID Feed the Future selection of target and control trial
sites (M&E)
 Spatial analysis of aid effectiveness, etc.
B&MGates
Foundation
Combining active
investmentswith
spatialanalysis
Showing BMGF
investment
portfolio within
Uganda’s agro-
ecological zones
using Project
MappingTool.
http://caadp-
cgiar.org/ftf
G8New
Alliance
Value-chain
priority-setting
tool
Ghana:value-chain
prioritization.
Which CAADP value
chains to focus on?
What 10-year yield
targets are
achievable?
 Prototype for each country to be populated by IFPRI/HarvestChoice based on
available secondary data sources
 National teams will adapt as needed and validate or replace data sources
Prioritization criteria
andweighting
Baseline
production/adoption
Yield
targets
Outcome
indicators
Wheat
Profitability
Assessment
inSSA
Ethiopia:Sensitivity
analysis tool to
estimate potential
wheat profitability
under varying
fertilizer use
scenarios.
http://harvestchoic
e.org/tools/profita
bility-calculator
The
Brookings
Institution
Sub-national
povertyandaid
targeting
Combining World
Bank Mapping for
Results investment
maps with
HarvestChoice
spatial layers
http://www.brooki
ngs.edu/research/o
pinions/2013/02/0
4-world-bank-
poverty-africa-
chandy
HarvestChoice data may be found under 6 major research topics http://harvestchoice.org/topics
ExploreHarvestChoiceTopics
Download data layers in ASCII raster and CSV formats http://harvestchoice.org/map
Download,Map,andTabulate…
Use Mappr to browse and download indicator maps http://harvestchoice.org/mappr/
HarvestChoiceMappr
#1 Select
indicators
#2 Toggle and re-
arrange layers
#3 Generate
zonal statistics
#4 Save reports
Use Mappr to generate point-based and zonal statistics http://harvestchoice.org/mappr/
HarvestChoiceMappr
Create and download your own custom tables using Tabler at http://harvestchoice.org/data/
Public release planned for mid-May 2013.
HarvestChoiceTabler #2 Pivot and
summarize
#1 Select
indicators
HarvestChoice launching new data API at http://dev.harvestchoice.org/harvestchoiceapi/0.1/
Public release planned for mid-May 2013.
HarvestChoiceDataAPI
COMINGNEXT…
We need to better our understanding of:
 Footprintof agricultural technologiesin sub-Saharan Africa
 Not only bio-physical, but also socio-economicand
institutionalconstraints to technology adoption
 Current and future landscape of public and private
agricultural investment in the region
Augmenting –and validating- HarvestChoice data layers and models with sub-national farm household
characteristics, farm management practices, production, consumption and nutrition estimates.
PartneringUp MappingAgriculturalCensus,DHSandLSMS-
ISASurveys DHS Child Stunting Prevalence
TZA AC 2007 – Tomato Yield
Showing target zones for planned agricultural investments http://csi.maps.arcgis.com/home/
PartneringUp MappingCGIARResearchProgramsand
CAADPCountryInvestmentPlans
About
IFPRI ifpri.org
TheInternational Food Policy Research Institute(IFPRI)
seekssustainablesolutions for endinghunger and
poverty.IFPRI isone of 15 centers supportedby the
ConsultativeGroup on International Agricultural Research
(CGIAR),an alliance of 64 governments,private
foundations,and internationaland regional
organizations.
HarvestChoice harvestchoice.org
HarvestChoicegenerates knowledge products to help
guidestrategicinvestments to improve thewell-being of
poor people in sub-Saharan Africa through more
productiveand profitable farming. To do this,a noveland
spatiallyexplicitevaluationframework is being
developedand deployed. By design,primary knowledge
productsare currently targetedto theneeds of
investors,policymakers and program managers, aswell
as theanalysts andtechnical specialistswho support
them.Most decisions that HarvestChoicetargetsare
thosehaving implicationsthat cut across country
boundaries.
HarvestChoiceTeam at IFPRI
MarkRosegrant / Co-PI (Interim)
JawooKoo / Crop Modeling, SpatialAnalysis
CarloAzzarri / Micro-economics
ZheGuo / GIS Coordinator, SpatialAnalysis
UlrikeWood-Sichra / Database,StatisticsManagement
IvyRomero / Program Coordinator
CecileMartignac / Participatory GIS, SpatialAnalysis
MelanieBacou/ Economist
MariaComanescu / Developer
CindyCox / Technical Writer
NaomieSakana / Farming Systems modeling
SteveKibet / DataManagement in East Africa

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D8 Open Data for Agriculture Presentation by Melanie Bacou, IFPRI, HarvestChoice

  • 1. GroundnutsinNyanzaorCassavain Ashanti? USING HARVESTCHOICE DATA AND TOOLS TO INFORM AGRICULTURAL INVESTMENT IN AFRICA D8- Open Data for AgricultureSide Event at IFPRI, Washington DC,May 1, 2013
  • 2. WhoWeAre,WhatWeDo… Researchprogramco-ledby the International Food PolicyResearchInstitute (IFPRI, CGIAR) and Universityof Minnesota.  Wegeneratedata productsto help guide strategicinvestments for moreproductive and profitablefarming in sub-SaharanAfrica.  Wedo this through: • Harmonizedand geo-referenced datasets at administrative unitsdown to 10-km grid • Analytics,modeling and data visualization tools • Flagshipstudies,atlases
  • 3. Questionswearepassionateabout…  Whereare the poor and what is theirwelfarestatus?  Which farming systemsdo the poormost depend?  How best to tune productivity targetsto different sub-national conditions?  What arethe constraints affecting on-farmproductivity, technology adoption, and marketintegration?  What investments in technologies andpractices might best address thoseconstraints?  What is the aggregatelandscape of investments acrossthe region?  What arethe benefits of investmentson productivity, farm incomeand ultimately,the reduction of povertyand hunger, andincome distribution?
  • 5. IMPACT… Where is HarvestChoice open data making a difference?  Bill & Melinda Gates Foundationstrategy refresh, country and value-chain targeting  G-8New Alliance priority-setting tools  USAID Feed the Future selection of target and control trial sites (M&E)  Spatial analysis of aid effectiveness, etc.
  • 6. B&MGates Foundation Combining active investmentswith spatialanalysis Showing BMGF investment portfolio within Uganda’s agro- ecological zones using Project MappingTool. http://caadp- cgiar.org/ftf
  • 7. G8New Alliance Value-chain priority-setting tool Ghana:value-chain prioritization. Which CAADP value chains to focus on? What 10-year yield targets are achievable?  Prototype for each country to be populated by IFPRI/HarvestChoice based on available secondary data sources  National teams will adapt as needed and validate or replace data sources Prioritization criteria andweighting Baseline production/adoption Yield targets Outcome indicators
  • 8. Wheat Profitability Assessment inSSA Ethiopia:Sensitivity analysis tool to estimate potential wheat profitability under varying fertilizer use scenarios. http://harvestchoic e.org/tools/profita bility-calculator
  • 9. The Brookings Institution Sub-national povertyandaid targeting Combining World Bank Mapping for Results investment maps with HarvestChoice spatial layers http://www.brooki ngs.edu/research/o pinions/2013/02/0 4-world-bank- poverty-africa- chandy
  • 10. HarvestChoice data may be found under 6 major research topics http://harvestchoice.org/topics ExploreHarvestChoiceTopics
  • 11. Download data layers in ASCII raster and CSV formats http://harvestchoice.org/map Download,Map,andTabulate…
  • 12. Use Mappr to browse and download indicator maps http://harvestchoice.org/mappr/ HarvestChoiceMappr #1 Select indicators #2 Toggle and re- arrange layers #3 Generate zonal statistics #4 Save reports
  • 13. Use Mappr to generate point-based and zonal statistics http://harvestchoice.org/mappr/ HarvestChoiceMappr
  • 14. Create and download your own custom tables using Tabler at http://harvestchoice.org/data/ Public release planned for mid-May 2013. HarvestChoiceTabler #2 Pivot and summarize #1 Select indicators
  • 15. HarvestChoice launching new data API at http://dev.harvestchoice.org/harvestchoiceapi/0.1/ Public release planned for mid-May 2013. HarvestChoiceDataAPI
  • 16. COMINGNEXT… We need to better our understanding of:  Footprintof agricultural technologiesin sub-Saharan Africa  Not only bio-physical, but also socio-economicand institutionalconstraints to technology adoption  Current and future landscape of public and private agricultural investment in the region
  • 17. Augmenting –and validating- HarvestChoice data layers and models with sub-national farm household characteristics, farm management practices, production, consumption and nutrition estimates. PartneringUp MappingAgriculturalCensus,DHSandLSMS- ISASurveys DHS Child Stunting Prevalence TZA AC 2007 – Tomato Yield
  • 18. Showing target zones for planned agricultural investments http://csi.maps.arcgis.com/home/ PartneringUp MappingCGIARResearchProgramsand CAADPCountryInvestmentPlans
  • 19. About IFPRI ifpri.org TheInternational Food Policy Research Institute(IFPRI) seekssustainablesolutions for endinghunger and poverty.IFPRI isone of 15 centers supportedby the ConsultativeGroup on International Agricultural Research (CGIAR),an alliance of 64 governments,private foundations,and internationaland regional organizations. HarvestChoice harvestchoice.org HarvestChoicegenerates knowledge products to help guidestrategicinvestments to improve thewell-being of poor people in sub-Saharan Africa through more productiveand profitable farming. To do this,a noveland spatiallyexplicitevaluationframework is being developedand deployed. By design,primary knowledge productsare currently targetedto theneeds of investors,policymakers and program managers, aswell as theanalysts andtechnical specialistswho support them.Most decisions that HarvestChoicetargetsare thosehaving implicationsthat cut across country boundaries. HarvestChoiceTeam at IFPRI MarkRosegrant / Co-PI (Interim) JawooKoo / Crop Modeling, SpatialAnalysis CarloAzzarri / Micro-economics ZheGuo / GIS Coordinator, SpatialAnalysis UlrikeWood-Sichra / Database,StatisticsManagement IvyRomero / Program Coordinator CecileMartignac / Participatory GIS, SpatialAnalysis MelanieBacou/ Economist MariaComanescu / Developer CindyCox / Technical Writer NaomieSakana / Farming Systems modeling SteveKibet / DataManagement in East Africa

Notes de l'éditeur

  1. Data and tools available on our website and what we have in the pipeline for 2013.
  2. Questions are reflected on our website. Change that one, only photos, bullets
  3. What that means in practice.Sources of data, harvested area (SPAM), rainfall (University of East Anglia Climatic Research Unit (CRU).), soil (Geoderma ), seasonality () => yield potential gaps
  4. Very concrete and pragmatic questions and applications
  5. How HC data is being used, Why geography matters: HarvestChoice spatial layers in BMGF Project Mapping Tool. Combining investment mapping with geographic analysis (spatial queries) – juxtaposing planned with on-the-ground activities (e.g. BMGF)
  6. Agricultural Investment Planning & Targeting: value-chain prioritization. Help support country-level strategies.
  7. Agricultural Investment Planning & Targeting: value-chain prioritization. Help support country-level strategies.
  8. Questions we are passionate about: categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options). Where are the poor and what is their welfare status? On what farming systems do the poor most depend? What are the constraints affecting the productivity and market integration of those farming systems? What present or prospective investments in technologies and practices might best address those constraints? How best to tune targets and technologies to different sub-national conditions?What are the benefits of investments on productivity, farmers income and ultimately, the reduction of poverty and hunger, and income distribution?What is the aggregate landscape of planned national investments across the region?
  9. Data and other resources: categorized into research topics – also directly accessible through Data, Maps and Publications sections. Publishing data through more channels, e.g. FAO, directly into donor information systems, Microsoft research for visualization.
  10. Data and other resources: categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options)
  11. Data and other resources: categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options)
  12. Data and other resources: categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options)
  13. Categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options)
  14. Address more complex questions, not enough to provide baseline situation analysis.
  15. Recognize that tech adoption and farm management practices, attitude to risks are largely influenced by household characteristics and institutional environment. Useful to augment existing models (e.g. market access, crop modeling).
  16. Why geography matters: planned investments within their geographic contexts. Different footprints. To be folded into HC framework. Develop methods and workflows and research groups to increase transparency.
  17. To find out more… and credits