Cross-grower study and field targeting

    公开(公告)号:US10999967B2

    公开(公告)日:2021-05-11

    申请号:US15989944

    申请日:2018-05-25

    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.

    Risk-adjusted hybrid seed selection and crop yield optimization by field

    公开(公告)号:US10993365B2

    公开(公告)日:2021-05-04

    申请号:US16128380

    申请日:2018-09-11

    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.

    AUTOMATIC PREDICTION OF YIELDS AND RECOMMENDATION OF SEEDING RATES BASED ON WEATHER DATA

    公开(公告)号:US20200042890A1

    公开(公告)日:2020-02-06

    申请号:US16528476

    申请日:2019-07-31

    Abstract: A computer-implemented method of predicting yields and recommending seeding rates for subfields with informed risks is disclosed. The method comprises receiving, by a processor, weather data for a first period consisting of a plurality of sub-periods for one or more subfields of a field; for each of the plurality of sub-periods for the one subfield: calculating a moisture stress indicator from the weather data; predicting, for each of a list of seeding rates, a yield from the moisture stress indicator using a trained model; and selecting one of the list of seeding rates based on the list of predicted yields; identifying one of the predicted yields corresponding to the selected seeding rate; determining, by the processor, a risk profile associated with a range of yields for the one subfield based on the predicted yields identified for the plurality of sub-periods; transmitting data related to the risk profile to a device associated with the one subfield.

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