Webinar organized by the Geospatial Data Community of Practice of the CGIAR Platform for Big Data in Agriculture.
Strategies and technologies for adapting to climate change in particular locations should ideally be grounded in knowledge of the future climatic conditions in those locations. Estimates hold that 70% of future climates already exist somewhere in the world. That is where the analogues approach comes in. Using global climate projection data from multiple models, the […]
Lessons learned tackling Banana Xanthomonas Wilt in the Great Lakes Region show that digital extension offers critical two-way data flow, but is not a panacea to protect food security.
A new publication from scientists at the International Maize and Wheat Improvement Center highlights the need to better constrain parameters of global gridded crop models, particularly in the mid to high latitudes, to improve predictability.
A new Data Descriptor article published in the Nature Scientific Data describes CGIAR’s effort to downscale global climate projection data and make them more relevant for agricultural research.