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NIFA Invests Over $7 Million in Big Data, Artificial Intelligence, and Other Cyberinformatics Research

KANSAS CITY, MO, September 30, 2020 – USDA's National Institute of Food and Agriculture has awarded 12 grants totaling over $7 million to initiate research 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).

Parag Chitnis, acting director of USDA-NIFA, said: “Big data and artificial intelligence will increasingly play a vital role in the future of agricultural technologies. 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.”

FY20 AFRI FACT grants were awarded to:

Auburn University in Auburn, Alabama, for “FACT: Interactive Deep Learning Platform and Multi-Source Data Integration for Improved Soil Moisture Forecasting” (Grant amount: $499,251)

FACT grants support multiple themes outlined in the USDA Science Blueprint and move us closer to meeting the goals outlined in USDA's Agriculture Innovation Agenda.

Source: Press Release
Faith Peppers
Director of Communications
Communications Staff
Faith.Peppers@usda.gov
(816) 745-0959


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