SYSTEMS AND METHODS FOR USE IN IDENTIFYING TRIALS IN FIELDS

    公开(公告)号:US20230385957A1

    公开(公告)日:2023-11-30

    申请号:US18201713

    申请日:2023-05-24

    Applicant: CLIMATE LLC

    CPC classification number: G06Q50/02 G06Q10/06375

    Abstract: Systems and methods for use in identifying locations and/or sizes of trials in fields are provided. One example computer-implemented method includes defining a bounding box for a field based on a boundary line of the field and imposing multiple strips to the bounding box, where each strip has a dimension consistent with a desired planting pass for a trial in the field. The method also includes rotating the bounding box, with the strips, to an orientation consistent with a planting direction of the field and cropping the multiple strips consistent with one or more headlands of the field. The method then includes generating multiple candidate trials for the field, based on the multiple strips, calculating metrics for the candidate trials based on areas and shapes of the candidate trials, and selecting and publishing one or more of the candidate trials based on the metric as for implementation in the field.

    SYSTEMS AND METHODS FOR USE IN IDENTIFYING TRIALS IN FIELDS

    公开(公告)号:US20230385958A1

    公开(公告)日:2023-11-30

    申请号:US18201728

    申请日:2023-05-24

    Applicant: CLIMATE LLC

    CPC classification number: G06Q50/02 G06Q10/0637

    Abstract: Systems and methods for use in identifying a trial in a target field are provided. One example computer-implemented method includes accessing, for a target field, planting data for the target field from a data structure and identifying one or multiple segment(s) of the target field having a feature distinct from a remainder of the field. The method also includes applying a first geometric threshold to the identified segment(s) and, in response to the identified segment(s) satisfying the first geometric threshold: validating a strip including the segment(s), based on a length and width of the strip, and building a trial based on the strip, wherein the trial includes the strip and at least one duplicate strip disposed along a long side of the strip, where the trial is identified as a location of the trial in the target field.

    SYSTEMS AND METHODS FOR USE IN PLANTING SEEDS IN GROWING SPACES

    公开(公告)号:US20230380329A1

    公开(公告)日:2023-11-30

    申请号:US18202250

    申请日:2023-05-25

    Applicant: CLIMATE LLC

    CPC classification number: A01C1/00

    Abstract: Systems and methods are provided for identifying candidate seeds for a grower. An example computer-implemented method includes identifying multiple seeds for a grower suitable to be selected for planting in a growing space associated with the grower, and accessing data from a data server including seed data representative of each of the multiple seeds. The method also includes identifying candidate seeds from the multiple seeds for the grower, based on a model specific to the grower, wherein the model is trained on historical selections of the candidate seeds by the grower and/or at least one other grower in a region of said grower, independent of historical performance of the candidate seeds in the growing space. The method then includes outputting the identified candidate seeds to the grower and including, based on a selection by the grower, at least one seed from the identified candidate seeds in the growing space.

    SYSTEMS AND METHODS FOR USE IN ASSESSING TREATMENT TRIALS IN AGRICULTURAL FIELDS

    公开(公告)号:US20240420255A1

    公开(公告)日:2024-12-19

    申请号:US18741252

    申请日:2024-06-12

    Applicant: CLIMATE LLC

    Abstract: Systems and methods for use in assessing a treatment trial in an agricultural field. One example method includes, for each of multiple treatment trials in agricultural fields, generating, by a computing device, a post-harvest trial block, based on multiple data layers associated with the agricultural field, where the post-harvest trial block defines an area of the agricultural field associated with the treatment trial; clustering, by a computing device, a training set of the post-harvest trial block based on one or more geospatial features of the areas of the post-harvest trial blocks; training, by the computing device, a model to indicate a label for a target post-harvest trial block based on the one or more geospatial features of an area of the target post-harvest trial block; and storing the label in a memory.

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