The second annual event is expected to become a preeminent regional meeting focused on the methodologies and technologies that enable Digital Agriculture, the associated data challenges, and the resulting insights into complex agricultural and agroecological systems.
Enable the use of unmanned aircraft systems (UAS) in agriculture by developing a public-private collaboration to address the automation of transport, storage, dissemination, and analysis of UAS images and ground characterizations, and how to develop best practices for such data and leverage existing and develop novel computational infrastructure.
Help harmonize and automate the Big Data lifecycles in crop science, phenomics, and genomics to improve interoperability of agricultural datasets, databases, and computational resources.
Host webinars, short courses and workshops on critical topics in big data in agriculture in partnership with the Great Plains Network
September 21All Hands MeetingUNL East Campus Union, GREAT PLAINS ROOM
The meeting, established by the Midwest Big Data Hub Digital Agriculture Community, a growing network devoted to building partnerships and resources to address emerging issues in precision agriculture, ecosystem management and services, biosciences, socio-economic impacts, and data-related issues in the agricultural ecosystem, focused on the methodologies and technologies that enable Digital Agriculture, the associated data challenges, and the resulting insights into complex agricultural and agroecological systems.
Several ongoing projects among biologists, engineers, computer scientists, and allies encompassed UAS systems, plant sciences, and the future of education in agriculture. These projects emphasized how we collect and organize data, how we process it, and how we use it to develop statistical and conceptual frameworks to understand complexity in agricultural systems, from molecular to ecological scales.