Digital innovations are set to transform a global food system in crisis.These innovations, however, are reliant on large sets of data to help farmers make informed decisions and predict crop outcomes. The University of Minnesota, for example, has used advanced computer modeling to predict a number of future scenarios for corn production, using Iowa as a microcosm for global production. This type of work has huge to potential to benefit the rest of the world, where more people are going hungry. Most nations in the developing world, however, face a “black hole” when it comes to farm data. Public research networks like CGIAR are working to bridge this data gap in collaboration with universities and companies.