US Patent Issued to Deere & Co. on March 25 for "Incorporating unstructured data into machine learning-based phenotyping" (California Inventor)

ALEXANDRIA, Va., March 26 -- United States Patent no. 12,260,179, issued on March 25, was assigned to Deere & Co. (Moline, Ill.).

"Incorporating unstructured data into machine learning-based phenotyping" 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 incorporating unstructured data into machine learning-based phenotyping. In various implementations, natural language textual snippet(s) may be obtained. Each natural language textual snippet may describe environmental or managerial features of an agricultural plot that exist during a crop cycle. A sequence-to-sequence machine learning model may be used to encode the natural...