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Big Data inCGIAR
Elizabeth Arnaud1, Medha Devare2, Jacob Van Etten1, Jawoo Khoo3, Andy Jarvis4
1 Bioversity International, Consortium Office2, IFPRI3, CIAT4
4th February 2016, AIMS Webinar, FAO
What is CGIAR ? An international organization that advances international
agricultural research for food security.
Photo CGIAR
15 Centers worldwide
40 years of research
Over 8,000 scientists, researchers, technicians, and staff
CGIAR Goals1. Reduced poverty2. Improved food and nutrition security
for health3. Improved natural resource systems
and ecosystem services
Photo B. Wawa/CIMMYT
Big Data (as per IBM)
Volume, Velocity, Variety, Veracity Identify patterns and gain new knowledge to
answer complex and unanswered questions Entreprises remain agile in a rapid evolving
environment
Strategic Collaborations Existing high performance computing facilities and big
data analytical capabilities Leverage this investment in capability and
infrastructure Strong partnerships across the Consortium and beyond
it Example of the Strategic Alliance between Google
Maps and FAO to make geospatial tracking and mapping products more accessible
FAO's José Graziano da Silva and Google's Rebecca Moore celebrate the partnership formalization at COP21 in Paris
Big Data for Agriculture Massive Historical Agricultural Data in distributed
databases and repositories
New Highthrouput Data
Genomics/Genetics/metabolomics Phenotyping Geophysical through Remote sensing Social and Economics Citizen Sciences
Challenge: Secure Food and Health by addressing Yield Gap and Climate Change
Photo: ICRISAT
7 million samples of crop varieties and wild relatives in genebanks worldwide
Using the emerging deluge of omics data to unlock crop diversity on a massive scale
Biodiversity Informatics Platform Currently 62 institutions Initiative facilitated by
Global Crop Diversity Trust, Global Plant Council, International Treaty for PGRFA, CGIAR
http://www.divseek.org/
Mining the omics data as collaborative effort IRRI
Illustration: Australian Phenomics Facility
Big Data for Climate Smart Agriculture
Access to global data should help providing local information
© IISA © CIAT
How CGIAR projects currently apply Big Data Principles ?
Remote sensing project across CGIAR Research Programmes
Bill &Melinda Gates Foundation-supported remote sensing project spans across the CGIAR
Linked to CGIAR Research Programs on Climate Change, Agriculture and Food Security (CCAFS) and on Water, Land and Ecosystems (WLE).
A complete lay of the land will be recorded by Use Unmanned Aerial Vehicles (UAVs) to discern crop types, any present diseases, and the effects of climate change.
Photo: CIP
Drone over sweet potato fields in East Africa
• To validate a low-cost, effective method of monitoring sweet potatoes
• Great quality of data enabling discrimination of land uses and estimation of the area for each use
• Identifying ‘spectral signature’ of variet Multispectral camera © CIP
Project leader: Roberto QuirozSee more at: http://cipotato.org/press-room/blogs/cip-drone-study-over-sweetpotato-fields-of-east-africa-a-success/
Photo CIP: Mwanza region of northern Tanzania
To produce recommendations much more quickly on rice varieties in Colombia
1. Access annual surveys and agronomic experiments from commercial fields
2. Getting planting times for specific sites and seasonal forecasts
3. Pairing historical records with state-of-the-art seasonal forecasts
4. Analyses with advanced algorithms from biology, robotics and neurosciences
5. Search for weather patterns in previous years and checked which varieties did best in those years
Analyzing large, uncontrolled, real-world data for rice
Most productive rice varieties and planting times for specific sites and seasonal forecasts Identified.
Recommendations could potentially boost yields by 1 to 3 tons per hectare.
Scaling up the techniques from their pilot to Argentina, Nicaragua, Peru and Uruguay
Analyzing large, uncontrolled, real-world data for rice
The project won UN Global Pulse’s Big Data Climate Challenge
CIAT
Crowdsourcing Farmers’ Preferences for varieties
Seeds for Needs projects 500 farmers per site will be given 3 blind varieties in small quantities to be tested under their own conditions and feedback returned by phone
What Big Data can do for Livestock Farmers ?
1 billion small-scale livestock keepers Smalls-cale ‘mixed’ crop-and-livestock farmers Livestock-based strategies for adapting to, and
mitigate, climate change - Livestock feeding systems that both increase
productivity and reduce greenhouse gases.
From Kunming to Da Li, Yunnan Province, China (photo credit: ILRI/Stevie Mann).
Remote sensing/GIS for Monitoring welfare of livestock Grazing locations, distribution Epidemiology/diseases distribution
Another Webinar !
Future of Big Data in CGIARCGIAR 2017-2022 Programmes and Platforms
Agri-food System Programmes Big Data platforms will support 8 Agri-Food
System Programmes (AFSP)
1. Dryland Cereals and Legumes2. Fish Forest and Agroforestry Landscapes3. Livestock 4. Maize5. Rice6. Roots, Tubers and Bananas 7. Wheat
Global Integrative Programmes
1. Genebanks2. Agriculture for Nutrition and Health
program (A4NH)3. Water Land and Ecosystems (WLE)4. Climate Change, Agriculture and Food
Security program (CCAFS)5. Policies, Institutions and Markets (PIM)
CGIAR data & service platforms 1. Genebanks2. Genetic Gain
Establishing CGIAR system genetic resources capability
3. A platform on Big-Data, Information and Knowledge
genetics & genomics, Agrobiodiversity data spatial, biophysical, social and economics Open Data-Open Access
IFPRI/CIAT led Proposal for CGIAR Big Data Platform
‘Tools for Driving Interdisciplinary and Collaborative Big Data Analytics ‘ - some elements CGIAR Survey Platform Data
for data collected through mobile devices from connected sensor network across trial sites
Provide ontologies/standards/tools for Data Discovery & Analytics across data repositories
Proposed use cases for monitoring agriculture: Scalable Satellite-based Crop Yield Mapper (SYCM): Crop Water Productivity (CWP) Remote Sensing for Agro-biodiversity Monitoring
Capacity development activities
More on the CGIAR Web Site First Expression of Interest and
Comments http
://www.cgiar.org/our-strategy/second-call-for-cgiar-research-programs/crp-2nd-call-pre-proposal-submissions/
Second call for full proposal http://
library.cgiar.org/bitstream/handle/10947/4127/CGIAR-2ndCall-GuidanceFullProposals_19Dec2015.pdf?sequence=1
Thank youMedha Devare
Data and Knowledge Manager Open Data-Open Access Strategy Coordinator
CGIAR Consortium Office
Jawoo KooHarvestChoice project Co-PI
IFPRI
Andy JarvisDirector, Decision &Policy Analysis Area, CIAT
Flagship leader, CCAFS
Mali, E. Arnaud, Bioversity
Jacob van EttenTheme Leader, Adaptation to Climate Change Bioversity International