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

Inventor： Pei-Chen CHEN ,  Moslem LADONI ,  Jacob MCDANIEL ,  Nicholas P. OCHS

IPC: G06Q50/02 ,  G06Q10/0637

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.

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

Inventor： Jigyasa BHAGAT ,  Pei-Chen CHEN ,  Jake A. KING ,  Jacob P. MCDANIEL ,  Nicholas P. OCHS ,  Jiahao SUN

IPC: G06Q50/02 ,  A01G7/06 ,  G06N20/00

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.