公开(公告)号：US20230013476A1

公开(公告)日：2023-01-19

申请号：US17952965

申请日：2022-09-26

Applicant: Climate LLC

Inventor： Gardar JOHANNESSON ,  Maria TERRES ,  Moslem LADONI ,  Carlos CARRION ,  Nicholas CIZEK ,  Brian LUTZ ,  Ricardo LEMOS ,  James DELANEY

IPC: G05B13/04 ,  G06F17/18 ,  A01B79/00 ,  A01B79/02

Abstract: Systems and methods for utilizing a spatial statistical model to maximize efficacy in performing trials on agronomic fields are disclosed herein. In an embodiment, a system receives first yield data for a first portion of an agronomic field, the first portion of the agronomic field having received a first treatment, and second yield data, for a second portion of the agronomic field, the second portion of the agronomic field having received a second treatment that is different than the first treatment. The system uses a spatial statistical model and the first yield data to compute a yield value for the second portion of the agronomic field, the yield value indicating an agronomic yield for the second portion of the agronomic field if the second portion of the agronomic field had received the first treatment instead of the second treatment. Based on the computed yield value and the second yield data, the system selects the second treatment. In an embodiment, in response to selecting the second treatment, the system generates a prescription map, the prescription map including the second treatment. The system may also generate one or more scripts which, when executed by an application controller, cause the application controller to control an operating parameter of an agricultural implement to apply the second treatment.

公开(公告)号：US20250124526A1

公开(公告)日：2025-04-17

申请号：US18988735

申请日：2024-12-19

Applicant: CLIMATE LLC

Inventor： Christina BOGDAN ,  Jason Kendrick BULL ,  Nicholas Charles CIZEK ,  Tonya EHLMANN ,  Morrison JACOBS ,  Moslem LADONI ,  Hunter MERRILL ,  Timothy REICH ,  Brandon RINKENBERGER ,  Aaron E. ROBINSON ,  Thomas Gene RUFF ,  Doug SAUDER ,  Allan TRAPP ,  Daniel WILLIAMS

IPC: G06Q50/02 ,  A01C21/00 ,  G06Q10/0631 ,  G06Q10/0637

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.

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.