A discussion about big data topics with an emphasis on using data sciences for plant genomics and phenomics
A discussion about big data topics with an emphasis on data from UAVs and Satellites for Agriculture
Workshop series in machine learning and artificial intelligence for sustainable packaging. The goal of this workshop is to provide context to the global problem from the point of view of machine learning, material science, manufacturing and commercial implementation, economic evaluation, and food science, and with anticipated outcomes of establishing multi-institutional interdisciplinary research teams, understanding the strengths and limitations of current research in sustainable packaging, and developing ideas for research proposals seeking to solve immediate and relevant challenges.
Digital Agriculture All-Hands Conference held in Ames, Iowa on May 16 & 17, 2016
CALMIT is a center of excellence for education and research focused on remote sensing, geographic information systems, and global positioning systems.
The Cyverse mission is to design, deploy, and expand a national cyberinfrastructure for life sciences research, and to train scientists in its use.
FAANG is a coordinated international action to accelerate genome to phenome.
GODAN supports the proactive sharing of open data to make information about agriculture and nutrition available, accessible and usable to deal with the urgent challenge of ensuring world food security.
The purpose of IPPN is to promote science and research in the field of plant phenotyping.
Iowa WQIS integrates data gathered by IIHR—Hydroscience & Engineering (IIHR) and United States Geological Survey (USGS) and offers access to real time nutrient data with a range of water-related information such as precipitation, stream flow, and soil moisture.
The Midwest Big Data Hub (MBDH) is a growing network of partners investing in data and data sciences to address grand challenges for society and science. Anyone is welcome to join these efforts.
NSF Project Award: Digital Agriculture - Unmanned Aircraft Systems, Plant Sciences and Education
Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190) The Sustainable Corn CAP (Cropping Systems Coordinated Agricultural Project: Climate Change, Mitigation, and Adaptation in Corn-based Cropping Systems) was a multi-state transdisciplinary project supported by the USDA National Institute of Food and Agriculture (Award No. 2011-68002-30190). Research experiments were located through the U.S. Corn Belt and examined farm-level adaptation practices for corn-based cropping systems to current and predicted impacts of climate change.