NIFA grant for web-based dynamic data-analytics framework for on-farm research networks

October 2, 2020

Our. Dr. Fernando Miguez has been awarded a USDA National Institute of Food and Agriculture grant. These grants focus on big data analytics, machine learning, artificial intelligence, and predictive technologies needed to keep U.S. agriculture on the leading edge of food and agricultural production. These grants are awarded through the USDA-NIFA Agriculture and Food Research Initiative (AFRI) Food and Agriculture Cyberinformatics and Tools (FACT).
 
“Big data and artificial intelligence will increasingly play a vital role in the future of agricultural technologies,” said Parag Chitnis, acting director of USDA-NIFA. “As we work to realize precision nutrition for consumers and enhance farmer profitability and agricultural sustainability, these predictive technologies will keep research and development moving quickly to provide the tools needed for success.”
 
Chitnis added, “Undoubtedly, the work of these scientists will deliver data-driven solutions to help farmers and ranchers across the nation approach today’s challenges, but will also contribute to the growing body of science that will lead us to future technological advances not yet imagined to meet both current and future challenges.”

Iowa State University in Ames, Iowa, for “FACT: Web-Based Dynamic Data-Analytics Framework for On-Farm Research Networks” (Grant amount: $394,988)