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

Groundnuts in Nyanza or Cassava in Ashanti?USING HARVESTCHOICE DATA AND TOOLS TO INFORM AGRICULTURAL INVESTMENT IN AFRICA

D8 - Open Data for Agriculture Side Event at IFPRI, Washington DC, May 1, 2013


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Who We Are, What We Do…Research program co-led by the International Food Policy Research Institute (IFPRI, CGIAR) and University of Minnesota. We generate data products

to help guide strategic investments for more productive and profitable farming in sub-Saharan Africa.

We do this through:• Harmonized and geo-referenced

datasets at administrative units down to 10-km grid

• Analytics, modeling and data visualization tools

• Flagship studies, atlases


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Questions we are passionate about… Where are the poor

and what is their welfare status?

Which farming systems do the poor most depend?

How best to tune productivity targets to different sub-national conditions?

What are the constraints affecting on-farm productivity, technology adoption, and market integration?

What investments in technologies and practices might best address those constraints?

What is the aggregate landscape of investments across the region?

What are the benefits of investments on productivity, farm income and ultimately, the reduction of poverty and hunger, and income distribution?


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How We Do It …Crop Modeling at global and regional-scale on grids

Seasonality

Soil Fertility

Harvested Area

Average RainfallYield Potential


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IMPACT…Where is HarvestChoice open data making a difference? Bill & Melinda Gates Foundation

strategy refresh, country and value-chain targeting

G-8 New Alliance priority-setting tools

USAID Feed the Future selection of target and control trial sites (M&E)

Spatial analysis of aid effectiveness, etc.


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B&M Gates Foundation Combining active investments with spatial analysis

Showing BMGF investment portfolio within Uganda’s agro-ecological zones using Project Mapping Tool.

http://caadp-cgiar.org/ftf




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G8 New AllianceValue-chain priority-setting toolGhana: value-chain prioritization.

Which CAADP value chains to focus on?

What 10-year yield targets are achievable?

G8 New Alliance - Technology Platform National Target Worksheet: Ghanaf(∆nutrem, ∆watrem)

Base year: 2012 Statistics Trials/FieldCalculated HH SurveyExpert/UserCalculated f(∆cal, ∆prot) f(seed sales, share marketed)

Price AreaAv.

YieldAchiev.

Yield

Abs. Yield

Target DIVA GLSS5

Adoption after 10

yearsYield

Increase

National Av. Yield

Level ∆VoP∆Gross return ∆Calorie ∆Protein

Economic Impact

Share to Poor Nutrition

Sustain-ability

Private Sector

contribution OVERALL(P) (A) (Y) (Yp) (Yp) (%) (%) (a10) (∆Y10) (Yt) (∆VoP) (∆GR) (∆Cal) (∆Prot) $/T 1000ha t/ha t/ha % % % % % t/ha $M/year $/ha % Bkcal (1000t) 0.40 0.20 0.15 0.15 0.10 1.00

CerealsMaize 117 991.7 1.70 6.00 253 57 28 57 144.2 4.2 283.90 286.3 54 8,653 230.91 1.75 1.33 5.35 -0.50 1.49 1.84Millet 162 176.6 1.30 2.00 54 28 56 30.2 1.7 10.3 63.6 71 216 6.17 0.06 1.75 0.13 -1.41 0.65 0.25Sorghum 158 252.6 1.30 2.00 54 28 56 30.2 1.7 15.6 61.9 72 340 10.00 0.10 1.77 0.21 -1.04 0.65 0.33Rice (Paddy) 249 181.2 2.40 6.50 171 28 56 95.7 4.7 103.8 572.7 54 1,165 24.97 0.64 1.31 0.72 -0.59 1.35 0.67

Cassava 54 875.0 13.80 48.70 253 36 30 60 61.2 22.2 396.0 452.5 31 8,055 66.51 2.44 0.75 4.91 -0.35 0.70 1.88Cocoyam 122 205.3 6.70 8.00 19 30 60 11.6 7.5 19.5 95.2 26 138 2.40 0.12 0.65 0.08 -0.36 0.33 0.17Yam 122 384.9 15.30 49.00 220 30 60 132.2 35.5 947.4 2461.2 46 7,861 101.19 5.84 1.12 4.79 -0.28 0.60 3.30Sweet potato 416 73.4 8.00 24.00 200 30 60 120.0 17.6 293.1 3993.6 44 648 4.93 1.81 1.08 0.40 -0.29 0.00 0.95Plantain 133 328.0 11 20.00 82 30 60 49.1 16.4 235.2 717.1 26 1,328 14.17 1.45 0.64 0.81 -0.65 0.84 0.82

LegumesCowpeas 685 167.0 1.30 3.10 138 82 28 82 113.5 2.8 168.9 1011.8 64 843 57.67 1.04 1.56 0.60 -1.50 1.40 0.73Soybean 250 76.2 1.50 2.30 53 94 28 94 50.1 2.3 14.3 188.0 52 192 21.78 0.09 1.28 0.18 -1.25 0.00 0.13Groundnut 366 353.4 1.5 2.50 67 28 56 37.3 2.1 72.5 205.1 63 819 37.01 0.45 1.54 0.53 -1.86 2.00 0.49

OthersCocoa 3011 160.0 0.4 1.00 150 57 26 52 78.0 0.7 150.3 939.4 18 207 2.00 0.93 0.45 0.25 -3.59 3.72 0.33Pawpaw 330 1.0 45.00 75.00 67 26 52 34.7 60.6 5.0 5148.0 26 4 0.06 0.03 0.65 0.00 -0.97 0.14 0.01Pineapple 276 12.3 50.00 72.00 44 26 52 22.9 61.4 38.8 3151.7 15 37 0.28 0.24 0.36 0.02 -0.91 0.42 0.08Tomato (rainf) 411 30.0 7.50 15.00 100 26 52 52.0 11.4 48.0 1601.2 28 20 0.94 0.30 0.70 0.01 -1.02 1.07 0.21Tomato (irrig) 411 30.0 30.00 65.00 117 26 52 60.7 48.2 224.2 7472.9 28 93 4.37 1.38 0.70 0.06 -1.02 1.07 0.66Garden eggs 283 3.6 8.00 15.00 88 26 52 45.5 11.6 3.7 1030.1 18 3 0.12 0.02 0.45 0.00 -0.94 0.84 0.04Pepper 686 5.4 6.50 32.30 397 26 52 206.4 19.9 49.7 9203.4 37 200 7.75 0.31 0.91 0.13 -2.05 0.74 0.09

Data sources:

Roots and Tubers

NEW ALLIANCE COMMODITY PRIORTIY RATINGS

National Priority Crops

10 YR TARGETS OUTCOME INDICATORS

Share to

Poorest 40%

PRODUCTION BASEBASELINE

ADOPTIONATTAINABLE

YIELD

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 and weighting

Baselineproduction/

adoption

Yield target

s

Outcomeindicators


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Wheat Profitability Assessment in SSAEthiopia: Sensitivity analysis tool to estimate potential wheat profitability under varying fertilizer use scenarios.

http://harvestchoice.org/tools/profitability-calculator







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The Brookings InstitutionSub-national poverty and aid targeting

Combining World Bank Mapping for Results investment maps with HarvestChoice spatial layers

http://www.brookings.edu/research/opinions/2013/02/04-world-bank-poverty-africa-chandy









10D8 - Open Data for Agriculture Side Event at IFPRI, Washington DC, May 1, 2013

HarvestChoice data may be found under 6 major research topics http://harvestchoice.org/topics

Explore HarvestChoice Topics

http://harvestchoice.org/topics



Download data layers in ASCII raster and CSV formats http://harvestchoice.org/map

Download , Map, and Tabulate…




Use Mappr to browse and download indicator maps http://harvestchoice.org/mappr/

HarvestChoice Mappr

#1 Select indicat

ors

#2 Toggle and re-arrange layers

#3 Generate zonal statistics

#4 Save reports

http://harvestchoice.org/mappr/



Use Mappr to generate point-based and zonal statistics http://harvestchoice.org/mappr/

HarvestChoice Mappr




Create and download your own custom tables using Tabler at http://harvestchoice.org/data/ Public release planned for mid-May 2013.

HarvestChoice Tabler #2 Pivot and summarize

#1 Select indicat

ors




HarvestChoice launching new data API at http://dev.harvestchoice.org/harvestchoiceapi/0.1/ Public release planned for mid-May 2013.

HarvestChoice Data API

http://dev.harvestchoice.org/harvestchoiceapi/0.1/




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COMING NEXT…We need to better our understanding of: Footprint of agricultural technologies

in sub-Saharan Africa Not only bio-physical, but also socio-

economic and institutional constraints 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.

Partnering Up Mapping Agricultural Census, DHS and LSMS-ISA Surveys

DHS Child Stunting Prevalence

TZA AC 2007 – Tomato Yield


Showing target zones for planned agricultural investments http://csi.maps.arcgis.com/home/

Partnering Up Mapping CGIAR Research Programs and CAADP Country Investment Plans

http://csi.maps.arcgis.com/home/

http://csi.maps.arcgis.com/home/


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AboutIFPRI ifpri.orgThe International Food Policy Research Institute (IFPRI) seeks sustainable solutions for ending hunger and poverty. IFPRI is one of 15 centers supported by the Consultative Group on International Agricultural Research (CGIAR), an alliance of 64 governments, private foundations, and international and regional organizations.

HarvestChoice harvestchoice.orgHarvestChoice generates knowledge products to help guide strategic investments to improve the well-being of poor people in sub-Saharan Africa through more productive and profitable farming. To do this, a novel and spatially explicit evaluation framework is being developed and deployed. By design, primary knowledge products are currently targeted to the needs of investors,

policymakers and program managers, as well as the analysts and technical specialists who support them. Most decisions that HarvestChoice targets are those having implications that cut across country boundaries.

HarvestChoice Team at IFPRIMark Rosegrant / Co-PI (Interim)Jawoo Koo / Crop Modeling, Spatial AnalysisCarlo Azzarri / Micro-economicsZhe Guo / GIS Coordinator, Spatial AnalysisUlrike Wood-Sichra / Database, Statistics ManagementIvy Romero / Program CoordinatorCecile Martignac / Participatory GIS, Spatial AnalysisMelanie Bacou / EconomistMaria Comanescu / DeveloperCindy Cox / Technical WriterNaomie Sakana / Farming Systems modelingSteve Kibet / Data Management in East Africa

http://www.ifpri.org/

http://www.harvestchoice.org/

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

Technology

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