公开(公告)号：US10999967B2

公开(公告)日：2021-05-11

申请号：US15989944

申请日：2018-05-25

Applicant: THE CLIMATE CORPORATION

Inventor： Jyoti Dharna ,  Morrison Jacobs ,  Beiyan Zeng ,  Allan Trapp

IPC: A01C21/00 ,  G06N5/02

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.

公开(公告)号：US11017306B2

公开(公告)日：2021-05-25

申请号：US16661860

申请日：2019-10-23

Applicant: THE CLIMATE CORPORATION

Inventor： Shilpa Sood ,  Matthew Sorge ,  Nikisha Shah ,  Timothy Reich ,  Herbert Ssegane ,  Jason Kendrick Bull ,  Tonya S. Ehlmann ,  Morrison Jacobs ,  Susan Andrea Macisaac ,  Bruce J. Schnicker ,  Yao Xie ,  Allan Trapp ,  Xiao Yang

IPC: G06N5/04 ,  A01B79/00 ,  G06N20/00

Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.

公开(公告)号：US10993365B2

公开(公告)日：2021-05-04

申请号：US16128380

申请日：2018-09-11

Applicant: The Climate Corporation

Inventor： Jason Bull ,  David Rock ,  Joo Yoon Han ,  Dongming Jiang ,  Timothy Reich ,  Morrison Jacobs ,  Yao Xie ,  Xiao Yang ,  Tonya Ehlmann ,  Allan Trapp

IPC: A01C7/10 ,  A01B79/00 ,  G06Q50/02 ,  G06Q10/06

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.

公开(公告)号：US20210342719A1

公开(公告)日：2021-11-04

申请号：US17313504

申请日：2021-05-06

Applicant: THE CLIMATE CORPORATION

Inventor： Shilpa Sood ,  Matthew Sorge ,  Nikisha Shah ,  Timothy Reich ,  Herbert Ssegane ,  Jason Kendrick Bull ,  Tonya S. Ehlmann ,  Morrison Jacobs ,  Susan Andrea Macisaac ,  Bruce J. Schnicker ,  Yao Xie ,  Allan Trapp ,  Xiao Yang

IPC: G06N5/04 ,  A01B79/00 ,  G06N20/00

Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.

公开(公告)号：US20200272971A1

公开(公告)日：2020-08-27

申请号：US16798002

申请日：2020-02-21

Applicant: The Climate Corporation

Inventor： Thomas Gene Ruff ,  Jason Kendrick Bull ,  Nicholas Charles Cizek ,  Brandon Rinkenberger ,  Doug Sauder ,  Aaron E. Robinson ,  Timothy Reich ,  Hunter Merrill ,  Allan Trapp ,  Morrison Jacobs ,  Tonya Ehlmann ,  Daniel Williams ,  Christina Bogdan ,  Moslem Ladoni

IPC: G06Q10/06 ,  G06Q50/02

Abstract: 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.