The Climate Corporation

Moslem Ladoni

Nicholas Charles Cizek

Gardar Johannesson

Ricardo T Lemos

Brian Lutz

Maria Antonia Terres

James Delaney

Carlos Carrion

Doug Sauder

Jason Kendrick Bull

Thomas Gene Ruff

Tonya S Ehlmann

Timothy Reich

Morrison Jacobs

Allan Trapp

Daniel Williams

Jie Hu

Brandon Rinkenberger

Aaron E Robinson

Christina Bogdan

Hunter Merrill

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.

Digital modeling and tracking of agricultural fields for implementing agricultural field trials

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.

Utilizing spatial statistical models for implementing agronomic trials

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 having received a first treatment, and second yield data for a second portion of the agronomic field having received a second treatment 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, where the yield value indicates 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 and generates a prescription map including the second treatment.

A system for implementing a trial in one or more fields is provided. In an embodiment, an agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device. When the agricultural intelligence computing system receives application data for the one or more target agricultural fields, the agricultural intelligence computing system determines whether the one or more target agricultural fields are in compliance with the trial. The agricultural intelligence computing system then receives result data for the trial and, based on the result data, computes a benefit value for the trial.

In an embodiment, a computer-implemented method of selecting locations in a field for treatment sampling is disclosed. The method comprises receiving, by a processor, input data including a number T of treatments applied to a field, a number L of treatment locations for each treatment, a list of treatment polygons within the field, and a map for the field indicating one or more values of a set of design parameters corresponding to environment factors for each of a plurality of locations in the field. The method also comprises computing, by the processor, an environment class index for each of a group of locations in the list of treatment polygons based on the map; distributing the list of treatment polygons to the T treatments based on the computed indices; and selecting, for each of the T of treatments, L treatment locations from the group of locations in the treatment polygons distributed to the treatment. In addition, the method comprises causing display of information regarding the selected treatment locations.

Location selection for treatment sampling

Growing community of inventors

San Francisco, CA, United States of America

Moslem Ladoni