ALEXANDRIA, Va., June 17 -- United States Patent no. 12,315,247, issued on May 27, was assigned to Deere & Co. (Moline, Ill.).
"Generating synthetic ground-level data based on generator conditioned for particular agricultural area" was invented by Zhiqiang Yuan (San Jose, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Implementations are described herein for conditioning a generator machine learning model to generate synthetic ground-level data that is biased towards a given agricultural area based on high-elevation images. In various implementations, a plurality of ground-level images may be accessed that depict crops within a specific agricultural area. A first set of high-elevation image(s) may als...