HYBRID SEED SELECTION AND SEED PORTFOLIO OPTIMIZATION BY FIELD

• Main Authors: YANG, Xiao, XIE, Yao, BULL, Jason Kendrick, REICH, Timothy, EHLMANN, Tonya S, SORGE, Matthew, SCHNICKER, Bruce J
• Format: Patent
• Language: English; French; German
• Published: 25.08.2021
• Subjects: AGRICULTURE; ANIMAL HUSBANDRY; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; FERTILISING; FISHING; FORESTRY; HUMAN NECESSITIES; HUNTING; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES ORIMPLEMENTS, IN GENERAL; PHYSICS; PLANTING; 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

Systems and methods are provided for generating a set of target seeds with optimal yield and risk performance. One example computer-implemented method includes generating, by a server, representative yield values for a group of seeds based on historical agricultural data, generating a dataset of risk values for the seeds, and generating a dataset of target seeds from the seeds for planting in one or more target fields based on: the dataset of risk values, the representative yield values, and properties for the target field(s). The method also includes generating, by the server, allocation instructions for the target seeds included in the dataset of target seeds, where the allocation instructions are indicative of, for each target seed, a planting quantity for the target seed and a planting location for the target seed within the target field(s).