Daniel Jiménez R.

d.jimenez@cigar.org

@drdarijiro

Big Data and Site-SpecificAgriculture to support rice farmers in Latin America

GODAN Summit 2016 NYC- September NYC

#GODANSummit2016

#GODANPreAg

Experience showcased last year by GODAN and Open Data Institute

…Making use of both open and private data CIAT analyzed large datasets and identified the complex and regions-specific issues behind the decreasing rice crop yields…

Rice Systems in Latin America are Challenged - Climate Change

Information on: Planting and harvesting date, productivity, variety, cropping system

Databases used Initial purpose N

National Rice Survey Keep the crop sector updated, technological changes 1237

Harvesting records Monitoring production levels in the regions 6000

Planting dates experiments

Technical research on the best sowing date 600

Climate: About 27 weather stations

Analysis of main site-specific-climatic limiting factors - The Colombian Case

What we proposed?

Average minimum temperature in reproductive stage is a critical factor for variety F 733

How we support rice farmers associations across Latin America? A better understanding of climate- The case in Saldaña- Tolima (Colombia)

Climate accounts for about 30% to production variability in irrigated rice – Variety F 733

Avg min temp reproduc stage

Accum solar energy veg stage

Accum solar energy reproduc stage

Relevance

R2= 30%

Conditional Inference ForestCropping events: 2007–2014

(n= 267)

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Avg min temp reproduc stage

Open Access: PLoS ONE -> Open Data (CIAT Dataverse- Harvard)

Some of the reasons why this is so exciting!!!Enabling environment of cooperation

More than 5,000 farmers adopting the approach, 50,000 cropping events (not only rice) analyzed in 6

countries: Colombia, Peru, Nicaragua, Argentina, Uruguay and Mexico

Thank you!!!