US Patent Issued to Deere & Co. on April 15 for "Generating synthetic training data and training a remote sensing machine learning model" (California Inventor)

ALEXANDRIA, Va., June 5 -- United States Patent no. 12,277,754, issued on April 15, was assigned to Deere & Co. (Moline, Ill.).

"Generating synthetic training data and training a remote sensing machine learning model" was invented by Yueqi Li (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Implementations are described herein for training a remote sensing machine learning model. In various implementations, ground-truth low elevation images that depict particular crop(s) in particular agricultural area(s) and terrain conditions observed in the agricultural area(s) are identified. A plurality of low elevation training images is generated based on the ground truth low elevation training images ...