German is a Data Scientist at FBN, working at the intersection of data science, agronomy, and finance. He comes from a family farm, and agriculture has guided much of his career. He holds a B.S. in agronomy, an M.S in agricultural economics, and a Ph.D. in crop sciences. He has more than ten years of experience working for different companies in the farming sector, including grain trading, input selling, farm management, and corn breeding.
To determine the relationship between farm income and farmland values across the central United States, the FBN® Data Science team assessed a wide range of FBN and USDA data points.
The CSR2 is Iowa's most widely used soil PI, and it is only available for soils in that state. By combining historical corn yield records and soil characteristics, the CSR2 produces a relative rating of corn productivity in the state.