US Patent Issued to CLIMATE on March 25 for "Using optical remote sensors and machine learning models to predict agronomic field property data" (California Inventors)

ALEXANDRIA, Va., March 26 -- United States Patent no. 12,260,346, issued on March 25, was assigned to CLIMATE LLC (Saint Louis, Mo.).

"Using optical remote sensors and machine learning models to predict agronomic field property data" was invented by Angeles Casas (San Francisco), Xiaoyuan Yang (Pleasanton, Calif.), Ho Jin Kim (San Francisco) and Steven Ward (Moraga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In some embodiments, a computer-implemented method for predicting agronomic field property data for one or more agronomic fields using a trained machine learning model is disclosed. The method comprises receiving, at an agricultural intelligence computer system, agronomic training data; traini...