Harnessing the power of big data for agricultural research & development

If Mary has a little lamb, who should know about it?

The GDPR and data science for agricultural development are at odds when it comes to delivering personalized products for the public good.

Data cleaning, the unsexy but essential aspect of data science

Data scientists need to be more serious about standardization, to make data interoperable, says Daniel Jimenez.

Here’s how to do bean breeding the climate-smart way

‘We need to do ‘preemptive breeding’ if we want to sustain bean production under the more erratic climate of the future’

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.

Latest News

If Mary has a little lamb, who should know about it?

If Mary has a little lamb, who should know about it?

The GDPR and data science for agricultural development are at odds when it comes to delivering personalized products for the ...
Read more
Data cleaning, the unsexy but essential aspect of data science

Data cleaning, the unsexy but essential aspect of data science

Data scientists need to be more serious about standardization, to make data interoperable, says Daniel Jimenez ...
Read more
Here’s how to do bean breeding the climate-smart way

Here’s how to do bean breeding the climate-smart way

'We need to do ‘preemptive breeding’ if we want to sustain bean production under the more erratic climate of the ...
Read more

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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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