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公开(公告)号：US20200005401A1
公开(公告)日：2020-01-02
申请号：US16457709
申请日：2019-06-28
Applicant: The Climate Corporation
Inventor： Jason Kendrick Bull , James Clesie Moore, III , Timothy Reich , Yao Xie , Xiao Yang , Tonya Ehlmann
Abstract: Techniques are provided for receiving a first set of historical agricultural data for one or more fields of a grower and a second set of historical agricultural data comprising a dataset of hybrid seed properties; cross-referencing the first set and the second set of historical agricultural data to generate a yield range improvement recommendation for each of the one or more fields, wherein the yield improvement recommendation comprises a recommended change in seed population or a recommended change in seed density; generating predictive yield data for the one or more fields by applying the yield improvement recommendation to the first set of historical agricultural data; generating comparison yield data using the grower yield data and the predictive yield data for the one or more fields; and causing displaying the comparison yield data for the grower.
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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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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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