Analysis on the CHIRPS-v2 gridded rainfall data revealed a high-resolution spatio-temporal pattern of rainfall variability in the region largely lacking weather stations.
In order for the tools of big data to be put to use for food security, the data ecosystem must enable dynamic connections between data streams today and tomorrow, equipping all actors in the global food system with new agility and adaptability.
Report back from LD4D meeting, 28-30 November In November 2018 the Livestock Data for Decisions (LD4D) Community of Practice met in Hanoi, Vietnam, to discuss big questions in the livestock data sphere, assess progress to date on collaborative working groups, and map out next steps. Meeting documentation Access all presentation and session recordings Working groups: … Read more Livestock data community zeroes in on big challenges
Learn about ontologies and their importance for making agricultural data interoperable with the interview of two experts in data management and information systems.
To run their farms as a business, smallholders need more access to relevant and timely information. Interactive Voice Response-based (IVR) technology has vast potential to meet their needs.
At the intersection of agriculture and data science lies a host of exciting innovations that are pushing the boundaries to propel us towards a food-secure future.