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公开(公告)号：US11564345B1
公开(公告)日：2023-01-31
申请号：US16450586
申请日：2019-06-24
Applicant: CLIMATE LLC
Inventor： Jyoti Dharna , Xiao Yang , Jason Bull , Tonya Ehlmann , Yao Xie
IPC: A01C7/10 , A01C21/00 , G06F16/248 , G06F16/29 , G06N7/00
Abstract: Techniques for recommending side-by-side plantings of pairs of hybrids or seeds include a server computer receiving agricultural data records that represent crop seed data describing seed and yield properties of hybrid seeds and first data for agricultural fields where the hybrid seeds were planted. The server receives second data for available hybrids and seeds and automatically calculates a dataset of success probability scores that describe the probability of a successful yield on the target fields. Data is organized as pairs to facilitate comparison of actual plantings to optimized plantings that have a probability of success (POS), in terms of yield lift or increased yield season-over-season, for different yield values. Confidence values are generated and stored in association with the POS values and can be used as a basis of visual output to support planting and/or field management decisions as part of an automated intelligent agricultural decision support system.
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Patent Agency Ranking
公开(公告)号：US11864488B1
公开(公告)日：2024-01-09
申请号：US18103151
申请日：2023-01-30
Applicant: CLIMATE LLC
Inventor： Jason Bull , Jyoti Dharna , Tonya Ehlmann , Yao Xie , Xiao Yang
CPC classification number: A01C7/102 , A01C21/005 , G06F16/248 , G06F16/29 , G06N7/01
Abstract: Techniques for recommending side-by-side plantings of pairs of seeds include a server computer receiving agricultural data records that represent crop seed data describing seed and yield properties of seeds and first data for agricultural fields where the seeds were planted. The server receives second data for available seeds and automatically calculates a dataset of success probability scores that describe the probability of a successful yield on the target fields. Data is organized as pairs to facilitate comparison of actual plantings to optimized plantings that have a probability of success (POS), in terms of yield lift or increased yield season-over-season, for different yield values. Confidence values are generated and stored in association with the POS values and can be used as a basis of visual output to support planting and/or field management decisions as part of an automated intelligent agricultural decision support system.
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公开(公告)号：US11568340B2
公开(公告)日：2023-01-31
申请号：US15807872
申请日：2017-11-09
Applicant: CLIMATE LLC
Inventor： Tonya S Ehlmann , Xiao Yang , Dongming Jiang , Jason Kendrick Bull , Samuel Alexander Wimbush , Yao Xie , Timothy Reich
Abstract: Techniques are provided for generating target success group of hybrid seeds for target fields include a server receiving agricultural data records that represent crop seed data describing seed and yield properties of hybrid seeds and first field geo-location data for agricultural fields where the hybrid seeds were planted. The server receives second geo-locations data for target fields where hybrid seeds are to be planted. The server generates a dataset of hybrid seed properties that include yield values and environmental classifications for hybrid seeds and then a dataset of success probability scores that describe the probability of a successful yield on the target fields based on the dataset of hybrid seed properties and the second geo-location data. The server generates target success yield group of hybrid seeds and probability of success values based on success probability scores and a yield threshold. The server causes display of the target success yield group.
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公开(公告)号：US12020177B2
公开(公告)日：2024-06-25
申请号：US17313504
申请日：2021-05-06
Applicant: CLIMATE LLC
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
CPC classification number: G06N5/04 , A01B79/005 , 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.
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公开(公告)号：US11861737B1
公开(公告)日：2024-01-02
申请号：US16555512
申请日：2019-08-29
Applicant: CLIMATE LLC
Inventor： Jason Kendrick Bull , Timothy Reich , Yao Xie , Xiao Yang , Tonya S. Ehlmann
IPC: G06Q50/02 , G06Q10/0635 , G06Q10/0631 , A01C14/00
CPC classification number: G06Q50/02 , A01C14/00 , G06Q10/0635 , G06Q10/06315
Abstract: A server computer system receives a dataset of candidate hybrid seeds for planting on one or more target fields, which comprises data regarding one or more hybrid seeds, probability of success values associated with each of the one or more hybrid seeds that describe a probability of a successful yield, and historical agricultural data associated with each of the one or more hybrid seeds further receives one or more properties for one or more target fields, and selects a subset of the one or more hybrid seeds based on the probabilities of success values. The server computer system generates representative yield values for hybrid seeds in the subset based on the historical agricultural data, generates a dataset of risk values for the subset, which describes an amount of risk associated with the representative yield values for each hybrid seed in the subset based on the historical agricultural data associated with each hybrid seed in the subset, and selects a list of target hybrid seeds from the subset for planting on the one or more target fields based on the dataset of risk values, the representative yield values for the subset, and the one or more properties for the one or more target fields. In addition, the server computer system generates a prescription related to planting the list of target hybrid seeds in the one or more target fields for a next period determines a safety stock for the list for the next period with respect to a supply chain based on the prescription, and causes displaying values of the safety stock, thereby causing production of the safety stock.
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公开(公告)号：US11562444B2
公开(公告)日：2023-01-24
申请号：US15807876
申请日：2017-11-09
Applicant: CLIMATE LLC
Inventor： Timothy Reich , Xiao Yang , Matthew Sorge , Tonya S Ehlmann , Jason Kendrick Bull , Bruce J. Schnicker , Yao Xie
Abstract: Techniques are provided for generating a set of target hybrid seeds with optimal yield and risk performance, including a server receiving a candidate set of hybrid seeds along with probability of successful yield values, associated historical agricultural data and property information, and selecting a subset of the hybrid seeds that have probability of success values greater than a filtering threshold. The server generates representative yield values for hybrid seeds based on the historical agricultural data and risk values for each hybrid seed. The server generates a dataset of target hybrid seeds for planting based on the risk values, the yield values, and the properties for the target fields. The dataset of target hybrid seeds includes target hybrid seeds that meet a specific threshold for a range of risk values. The server causes display of the dataset of target hybrid seeds including yield values and risk values for the target fields.
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