Machine learning in agricultural planting, growing, and harvesting contexts

• Main Authors: Moores, Lauren, Knight, Barry Loyd, Wong, Justin Y H, Abramson, Steve, Rajdev, Neal Hitesh, Keating, Gerard, Allen, Ben, Crane, Jeremy, Creagh, Dan, Berendes, Robert, Flaherty, Andrea Lee, Bachner, Daniel, Shankar, Jyoti, Lambert, Jordan, Trivisvavet, Ponsi, Allen, Mark, Moscardini, Chris, Tadi, Pranav Ram, Brummitt, Charles David, Weisman, David, Sinha, Naveen Neil, Lowenthal, Rob, Pate, William, Meunier, Marc-Cedric Joseph, Becco, Carlos, Derossi, Fernando, Jeck, Eric Michael, Leist, Casey James, Lamont, Ewan, Raymond, Rachel Ariel, Perry, David Patrick, Hennek, Jonathan, von Maltzahn, Geoffrey Albert
• Format: Patent
• Language: English
• Published: 03.10.2023
• Subjects: AGRICULTURE; ANIMAL HUSBANDRY; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; FERTILISING; FISHING; FORESTRY; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; HUMAN NECESSITIES; HUNTING; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES ORIMPLEMENTS, IN GENERAL; PHYSICS; PLANTING; REGULATING; SOIL WORKING IN AGRICULTURE OR FORESTRY; SOWING; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TRAPPING

A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.