US Patent Issued to Deere & Co. on Sept. 22 for "Spatio-temporal feature engineering system and method for machine learning in precision agriculture" (Minnesota Inventors)

ALEXANDRIA, Va., Sept. 24 -- United States Patent no. 12,743,638, issued on Sept. 22, was assigned to Deere & Co. (Moline, Ill.).

"Spatio-temporal feature engineering system and method for machine learning in precision agriculture" was invented by Tyler Nigon (St. Paul, Minn.) and Brian Bohman (St. Paul, Minn.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods that use geospatial data to train machine learning models to make predictions based on the geospatial data, for example for use in precision agriculture. A database is created that includes agricultural geospatial data acquired from two or more data sources. Using the spatial and temporal extent of response data, a training vector and a...