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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
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.
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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
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.
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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
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.
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4.
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
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.
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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
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.
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6.
公开(公告)号:US20200042890A1
公开(公告)日:2020-02-06
申请号:US16528476
申请日:2019-07-31
Applicant: THE CLIMATE CORPORATION
Inventor: Hunter R. Merrill , Allan Trapp
Abstract: A computer-implemented method of predicting yields and recommending seeding rates for subfields with informed risks is disclosed. The method comprises receiving, by a processor, weather data for a first period consisting of a plurality of sub-periods for one or more subfields of a field; for each of the plurality of sub-periods for the one subfield: calculating a moisture stress indicator from the weather data; predicting, for each of a list of seeding rates, a yield from the moisture stress indicator using a trained model; and selecting one of the list of seeding rates based on the list of predicted yields; identifying one of the predicted yields corresponding to the selected seeding rate; determining, by the processor, a risk profile associated with a range of yields for the one subfield based on the predicted yields identified for the plurality of sub-periods; transmitting data related to the risk profile to a device associated with the one subfield.
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