CGIAR Platform for Big Data in Agriculture
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Guess the rain: Kenya gamifies climate change to help farmers

Guess the rain: Kenya gamifies climate change to help farmers

by Hannah Craig | Nov 28, 2019 | 2019

Through the 2019 Inspire Challenge project, Gamifying weather forecasting: “Let it rain” campaign, farmers can take to their mobile phones to predict what day the rainy season will start. Climate change is taking a toll across east Africa, with erratic weather hitting...
Grant will support expanded use of artificial intelligence for crop health

Grant will support expanded use of artificial intelligence for crop health

by Hannah Craig | Nov 26, 2019 | 2019

CGIAR, an international agricultural research consortium, awarded the project a $250,000 scale-up grant under its Inspire Challenge program, part of the CGIAR Platform for Big Data in Agriculture. The program is designed to source and foster new solutions for digital...
Will Artificial Intelligence Help Resolve the Food Crisis?

Will Artificial Intelligence Help Resolve the Food Crisis?

by Hannah Craig | Nov 15, 2019 | 2019

By leveraging massive amounts of data and using innovative computational analysis, the CGIAR Platform for Big Data in Agriculture is working to help farmers increase their efficiency and reduce the risks that are inherent in farming, according to the article. Asked if...
How might non-conventional data fill data-gaps and contribute to monitoring our agri-food systems at higher resolutions

How might non-conventional data fill data-gaps and contribute to monitoring our agri-food systems at higher resolutions

by Hannah Craig | Nov 15, 2019 | 2019

Over the past few months, Pulse Lab Jakarta, together with the CGIAR Platform for Big Data in Agriculture, has been exploring various use cases, benefits and pitfalls from the use of non-conventional data, such as anonymised mobile network data, internet traffic and...
Telengana to create crop colonies based by using big data analytics

Telengana to create crop colonies based by using big data analytics

by Hannah Craig | Oct 27, 2019 | 2019

Addressing delegates at the inaugural function of a three-day convention on Big Data in Agriculture 2019 organized by the CGIAR Platform for Big Data in Agriculture and hosted by the International Crop Research Centre for Semi-arid Tropics (ICRISAT). Jayesh Ranjan...
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The Platform for Big Data in Agriculture harnesses the power of big data for agricultural research and development. It is one of three CGIAR research platforms and it is carried out with support from the CGIAR Trust Fund, UKAID and through bilateral funding agreements.

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Acknowledgement Guideline

This document presents a recommended template on how to acknowledge Big Data’s support.

 

SUPPORT TYPE EXAMPLE
100% funded by big data This work was undertaken as part of, and funded by, CGIAR Platform for Big Data in Agriculture.
Funded by big data and other donors This work was undertake as part of CGIAR Platform for Big Data in Agriculture. Funding support for this work was provided by CGIAR Platform for Big Data in Agriculture, (names of other funders in alphabetical order).
Shared services The (name of the product) used in this work was provided by CGIAR Platform for Big Data in Agriculture as a Shared Service.
Event/ training program The (name of the event or training program) was organized and funded by CGIAR Platform for Big Data in Agriculture.
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