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

1. Daniel Jiménez R.
d.jimenez@cigar.org
@drdarijiro
Big Data and Site-Specific
Agriculture to support
rice farmers in Latin
America
GODAN Summit 2016 NYC- September NYC
#GODANSummit2016
#GODANPreAg

2. 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…

3. Rice Systems in Latin America are Challenged - Climate Change

4. 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?

5. 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 Forest
Cropping events: 2007–2014
(n= 267)
. .
. .
. .
Avg min temp reproduc stage

6. 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

7. Thank you!!!