Applying Big Data in Agriculture

Big data is an extensive collection of large, complex, and unprocessed data that can be mined for information and analyzed to build predictive systems for better decision-making. Big data applications in agriculture are gaining momentum as technologies like livestock...

Million voices initiative

This independent side event of the UN Food Systems Summit launches a new citizen science initiative reaching out to famers and food consumers around the world to take part in advancing knowledge that can accelerate agroecological transitions. Examples of citizen...

Big data drives solutions to global challenges

While CGIAR scientists have long used big data in their research for development, the COVID-19 pandemic highlights the urgency of harnessing its full potential to accelerate the delivery of technologies that increase food and nutrition security, build resilience to...