ALEXANDRIA, Va., July 7 -- United States Patent no. 12,675,714, issued on July 7, was assigned to Deere & Co. (Moline, Ill.).

"Mid-cycle predictions using machine learning" was invented by Luis Pazos Outon (Mountain View, Calif.), Mustafa Gurbuz (Atlanta), Carlos Riquelme (Zurich) and Maxim Neumann (Zurich).

According to the abstract* released by the U.S. Patent & Trademark Office: "Implementations are disclosed for training and/or applying a single machine learning model to generate mid-cycle inferences based on variable length time series inputs. In some implementations, a time series of satellite imagery samples that depict an agricultural area over all or part of a crop cycle may be obtained. During training, ground truth agricultural...