Harnessing the power of big data for agricultural research & development

The Global Biodiversity Informatics Outlook: delivering biodiversity knowledge in the information age

The Global Biodiversity Informatics Outlook is a new framework to deliver biodiversity knowledge. Find out more about how it will help gather unprecedented evidence about biodiversity and inform better decisions.

Harmonizing crop trait data: Crop Ontology

Crop Ontology provides scientists and breeders with a common language that describes crop phenotypes and interprets descriptions provided by farmers for the performance of the varieties they prefer.

A vision for the data-driven agronomy community of practice

Daniel Jimenez on how Data-driven agronomy community of practice will advance data-driven agronomy to support the farmers, technicians and researchers committed to meet the Sustainable Development Goals.

Data sharing is essential for Global Crop Improvement Network to address crop challenges

Standardizing data is central to the success of the Global Crop Improvement Network to improve global integration of crop research.

Scientists harness genetics to develop more “solar”- and structurally-productive wheat

Partners in the International Wheat Yield Partnership (IWYP) are finding evidence that increased photosynthesis, through high biomass, improvements in photosynthetic efficiency, and improved plant architecture, can help make wheat more productive.

Newly released database for 11 CGIAR mandated crops across 15 countries

The breeding and dissemination of improved crop varieties has been a central feature of CGIAR research since the earliest days of the Green Revolution.

EGU 2018: Numerous sessions on applications of geosciences data offered

Sessions on big data theme largely addressed the current mismatch between increasing explosion of large volumes of data that outstretch the existing storage and processing capabilities.

Don’t hunt for data unicorns, they don’t exist

Data unicorns are a myth — plain and simple. What any organization needs to do is to build a team of experts whose skills complement each other and work with external specialists if needed so they can make magic to develop real-world solutions.

A Note from the GEO4SDGs Conference

To fully take advantage of the vast amount of geospatial data from new sources, we should invest in ourselves on the AI and machine learning techniques, or develop a technical partnership.

Building a new global approach to address animal diseases

There is a need for more systematic data collection, capture and analysis on a range of endemic animal diseases and how they are managed.

Grow more food and mitigate climate change? Agricultural soil data could help

A more comprehensive understanding of agricultural soils is needed to support sustainable development decision making – but collecting the necessary data is challenging.

Consuming information: Agriculture at the crossroads of sustainability

Extension officers, radio, and mobile phones remain crucial for the farmers to access and discover agricultural information.

Transdisciplinary thinking essential to enable sustainable data-intensive agroecosystems

Transdisciplinary thinking is a fundamental requirement if we are to take meaningful steps towards using big data to solve complex socio-environmental problems.

Meet Bob. The farmer needing your help to revolutionize agriculture

Farmers are contributing to the huge amounts of information that can be harnessed for global food security solutions. But they need good allies to ensure its full, and ethical, potential is reached.

For the rural farmer, does big data raise more questions than answers?

Does big data raise more questions than answers?

Latest News

Newly released database for 11 CGIAR mandated crops across 15 countries

Newly released database for 11 CGIAR mandated crops across 15 countries

The breeding and dissemination of improved crop varieties has been a central feature of CGIAR research since the earliest days ...
Read more
I want to end malnutrition in Africa. That’s why I’m turning to big data and algorithms.

I want to end malnutrition in Africa. That’s why I’m turning to big data and algorithms.

As an African woman and a nutritionist, there’s nothing more upsetting to me than this fact: Africa is the only ...
Read more
Getting Open Data out of the cloud and back on the ground to create real impact

Getting Open Data out of the cloud and back on the ground to create real impact

In order to transform our food systems and make the way we grow, sell and consume food more sustainable we ...
Read more

Blog Competition

Grow more food and mitigate climate change? Agricultural soil data could help

Grow more food and mitigate climate change? Agricultural soil data could help

A more comprehensive understanding of agricultural soils is needed to support sustainable development decision making - but collecting the necessary ...
Read more
Consuming information: Agriculture at the crossroads of sustainability

Consuming information: Agriculture at the crossroads of sustainability

Extension officers, radio, and mobile phones remain crucial for the farmers to access and discover agricultural information ...
Read more
Transdisciplinary thinking essential to enable sustainable data-intensive agroecosystems

Transdisciplinary thinking essential to enable sustainable data-intensive agroecosystems

Transdisciplinary thinking is a fundamental requirement if we are to take meaningful steps towards using big data to solve complex ...
Read more

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Find out more about CGIAR’s Open Access Policy, ratified in late 2013 by all 15 CGIAR Research Centers.

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Jun 19

Future Food-Tech

June 19 - June 20

Our Inspire Challenges

Our incentivized Inspire Challenges are about ensuring that information = impact. We’re challenging partners, universities and others to use our data to create pilot opportunities that scale. See last year’s Inspire Challenge winners.

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Big Data and CGIAR

Data is much more than simply information: in expert hands, it is intelligence. The rapid growth in processing power and global connectivity means we can now quickly collect, share and analyze enormous amounts of data and turn it into recommendations that can be of use to farmers and policymakers.

Applying these ‘big data’ approaches to agriculture promises to find new ways to reduce hunger and poverty, and develop robust responses to challenges such as climate change, pest and disease outbreaks, and land degradation. It could help reduce some of the daily risks farmers in developing countries face, enabling them to thrive.

As the largest network of agricultural research organizations in the world, CGIAR is uniquely positioned to be a thought leader and global convener on the use of big data and information technology in agriculture.

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