Develop a transformative forecasting framework that relies onphysics-informed deep learning and data fusion

The University of Florida will receive $290,465 through a Cooperative Agreement award from the Department of Agriculture National Resources Conservation Service Headquarters. The award period is from September 8, 2022 through December 31, 2025.

Under this award, the University of Florida's Division of Sponsored Research will develop a transformative forecasting framework that relies on physics-informed deep learning and data fusion to support the agency's Soil Survey program (CFDA #10.903). The Soil Survey program aims to produce and maintain up-to-date soil survey information, such as maps, data sets, soil interpretations, and reports, for widespread use across various stakeholders in understanding and managing soil resources. The forecasting framework developed under this cooperative agreement is expected to enhance the Soil Survey program's ability to integrate diverse data sources and deploy advanced modeling techniques for soil analysis.