Abstract: Systems and methods are provided for use in identifying candidate seeds. An example computer-implemented method includes receiving, from a user, at a computer system, a request for a seed recommendation for a plurality of fields; identifying, by the computer system, multiple seeds and volumes for the multiple seeds to be planted in the plurality of fields, the multiple seeds included in a rank-ordered listing of ones of the multiple seeds for each of the plurality of fields; generating, by the computer system, a planting recommendation to plant the multiple seeds from the listing in the plurality of fields as a planting recommendation, based on an objective function, the objective function indicative of yield, multiple relative maturity thresholds, and one or more operational rules; and outputting, by the computer system, the planting recommendation of the seeds to the user associated with the fields, in response to the request.

Abstract: A system for implementing a trial a field is provided. In an embodiment, the system is configured to generate a trial recommendation for a field and, based on field data for the field, compute a yield probabilities for the field. The system is also configured to generate a plurality of outcome-based values for the field based on the yield probabilities, compute crop values for each of the outcome-based values and a bushel per acre value, and cause display of an interface that dynamically displays each of the plurality of outcome-based values for the field based on a selected bushel per acre value. The system is further configured to receive user input changing a position of an interactive sliding widget in the interface, to change the bushel per acre value, and in response, compute a crop value for each of the outcome-based values based on the changed bushel per acre value.

Abstract: A computer-implemented method for improving crop yield in fields includes accessing data representative of predicted performance of seeds for a field and creating an experiment for the field based on the predicted performance of the seeds. The experiment includes a specific prescription to plant the seeds in the field. The method also includes transmitting the prescription to a planter and/or a harvester associated with the field and collecting, in real time, planting data for the seeds as the seeds are planted in the field and harvesting data for a crop grown in the field from the planted seeds. The method further includes validating that execution of the experiment in the field is consistent with the prescription and generating a recommendation based on a comparison of the collected harvesting data for the crop grown in the field to the predicted performance of the seeds included in the prescription.

Abstract: A computer-implemented method of targeting grower fields for crop yield lift is disclosed. The method comprises receiving, by a processor, crop seeding rate data and corresponding crop yield data over a period of time regarding a group of fields associated with a plurality of grower devices; receiving, by the processor, a current seeding rate for a grower's field associated with one of a plurality of grower devices; determining, whether the grower's field will be responsive to increasing a crop seeding rate for the grower's field from the current seeding rate to a target seeding rate based on the crop seeding rate data and corresponding crop yield data; preparing, in response to determining that the grower's field will be responsive, a prescription including a new crop seeding rate and a specific hybrid to be implemented in the grower's field.

Abstract: Techniques are provided for receiving a first set of historical agricultural data and a second set of historical agricultural data; generating a plurality of projected target yield ranges using the first set and the second set of historical agricultural data by generating a historic yield distribution; generating one or more yield ranking scores for one or more fields of a grower using the first set of historical agricultural data, and assigning a projected target yield range of the plurality of projected target yield ranges to each of the one or more fields based on the one or more yield ranking scores to generate assigned projected target yield ranges; receiving a third set of historical agricultural data comprising seed optimization data, and generating a recommended change in seed population or a recommended change in seed density; causing displaying the yield improvement recommendation for each of the one or more fields.

Abstract: A computer-implemented method of targeting grower fields for crop yield lift is disclosed. The method comprises receiving, by a processor, crop seeding rate data and corresponding crop yield data over a period of time regarding a group of fields associated with a plurality of grower devices; receiving, by the processor, a current seeding rate for a grower's field associated with one of a plurality of grower devices; determining, whether the grower's field will be responsive to increasing a crop seeding rate for the grower's field from the current seeding rate to a target seeding rate based on the crop seeding rate data and corresponding crop yield data; preparing, in response to determining that the grower's field will be responsive, a prescription including a new crop seeding rate and a specific hybrid to be implemented in the grower's field.