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公开(公告)号：US20210350478A1
公开(公告)日：2021-11-11
申请号：US17379824
申请日：2021-07-19
Applicant: The Climate Corporation
Inventor： James Ethington , Eli Pollak , Tristan D'Orgeval , Coco Krumme , Evin Levey , Alex Wimbush , Erik Andrejko , Moorea Brega , Sivan Aldor-Noiman , Doug Sauder , Cory Muhlbauer
Abstract: A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving, over a network, field definition data and environmental data; determining soil data from at least the environmental data; determining, based on at least the soil data, carbon load data indicating carbon load present in the field during a planting date; receiving first input indicating a plurality of starter application criteria; based on the first input and the carbon load present in the field, generating application data that include at least an amount of the starter fertilizer that provides nutrients to seeds throughout a nutrient immobilization period between the planting date and a beginning of a microorganism mineralization period; generating control instructions for controlling an agricultural implement based on the application data.
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2.发明申请公开(公告)号：US20170196171A1
公开(公告)日：2017-07-13
申请号：US14990463
申请日：2016-01-07
Applicant: THE CLIMATE CORPORATION
Inventor： Ying Xu , Erik Andrejko
Abstract: A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.
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公开(公告)号：US20200334518A1
公开(公告)日：2020-10-22
申请号：US16915959
申请日：2020-06-29
Applicant: The Climate Corporation
Inventor： Wei Guan , Erik Andrejko
Abstract: Systems and method for computing yield values through a neural network from a plurality of different data inputs are disclosed. In an embodiment, a server computer system receives a particular dataset relating to one or more agricultural fields wherein the particular data set comprises particular crop identification data, particular environmental data, and particular management practice data. Using a first neural network, the server computer system computes a crop identification effect on crop yield from the particular crop identification data. Using a second neural network, the server computer system computes an environmental effect on crop yield from the particular environmental data. Using a third neural network, the server computer system computes a management practice effect on crop yield from the management practice data. Using a master neural network, the server computer system computes one or more predicted yield values from the crop identification effect on crop yield, the environmental effect on crop yield, and the management practice effect on crop yield.
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公开(公告)号：US10699185B2
公开(公告)日：2020-06-30
申请号：US15416694
申请日：2017-01-26
Applicant: The Climate Corporation
Inventor： Wei Guan , Erik Andrejko
Abstract: Systems and method for computing yield values through a neural network from a plurality of different data inputs are disclosed. In an embodiment, a server computer system receives a particular dataset relating to one or more agricultural fields wherein the particular data set comprises particular crop identification data, particular environmental data, and particular management practice data. Using a first neural network, the server computer system computes a crop identification effect on crop yield from the particular crop identification data. Using a second neural network, the server computer system computes an environmental effect on crop yield from the particular environmental data. Using a third neural network, the server computer system computes a management practice effect on crop yield from the management practice data. Using a master neural network, the server computer system computes one or more predicted yield values from the crop identification effect on crop yield, the environmental effect on crop yield, and the management practice effect on crop yield.
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公开(公告)号：US20190311170A1
公开(公告)日：2019-10-10
申请号：US16392957
申请日：2019-04-24
Applicant: THE CLIMATE CORPORATION
Inventor： Sivan Aldor-Noiman , Erik Andrejko
Abstract: A method and system for modeling trends in crop yields is provided. In an embodiment, the method comprises receiving, over a computer network, electronic digital data comprising yield data representing crop yields harvested from a plurality of agricultural fields and at a plurality of time points; in response to receiving input specifying a request to generate one or more particular yield data: determining one or more factors that impact yields of crops that were harvested from the plurality of agricultural fields; decomposing the yield data into decomposed yield data that identifies one or more data dependencies according to the one or more factors; generating, based on the decomposed yield data, the one or more particular yield data; generating forecasted yield data or reconstructing the yield data by incorporating the one or more particular yield data into the yield data.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20190230873A1
公开(公告)日：2019-08-01
申请号：US16375589
申请日：2019-04-04
Applicant: The Climate Corporation
Inventor： Ying Xu , Erik Andrejko
Abstract: A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.
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7.发明授权公开(公告)号：US10251347B2
公开(公告)日：2019-04-09
申请号：US14990463
申请日：2016-01-07
Applicant: THE CLIMATE CORPORATION
Inventor： Ying Xu , Erik Andrejko
Abstract: A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.
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公开(公告)号：US20160073573A1
公开(公告)日：2016-03-17
申请号：US14846422
申请日：2015-09-04
Applicant: The Climate Corporation
Inventor： James Ethington , Eli Pollak , Tristan D'Orgeval , Coco Krumme , Evin Levey , Alex Wimbush , Erik Andrejko , Moorea Brega , Sivan Aldor-Noiman
IPC: A01B79/00
Abstract: A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving a plurality of field definition data, retrieving a plurality of input data from a plurality of data networks, determining a field region based on the field definition data, identifying a subset of the plurality of input data associated with the field region, determining a plurality of field condition data based on the subset of the plurality of input data, identifying a plurality of field activity options, determining a recommendation score for each of the plurality of field activity options based at least in part on the plurality of field condition data, and providing a recommended field activity option from the plurality of field activity options based on the plurality of recommendation scores.
Abstract translation: 用于推荐农业活动的计算机实现方法由与存储器通信的农业智能计算机系统来实现。 该方法包括接收多个场定义数据，从多个数据网络检索多个输入数据，基于场定义数据确定场区域，识别与场区域相关联的多个输入数据的子集， 基于所述多个输入数据的子集确定多个场条件数据，识别多个场活动选项，至少部分地基于所述多个场条件来确定所述多个场活动选项中的每一个的推荐得分 数据，并且基于多个推荐分数从多个现场活动选项提供推荐的场地活动选项。
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公开(公告)号：US11113649B2
公开(公告)日：2021-09-07
申请号：US14846661
申请日：2015-09-04
Applicant: THE CLIMATE CORPORATION
Inventor： James Ethington , Eli J. Pollak , Tristan D'Orgeval , Katherine Krumme , Evin Levey , Samuel Alexander Wimbush , Erik Andrejko , Moorea Lee Brega , Sivan Aldor-Noiman
Abstract: A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving a plurality of field definition data, retrieving a plurality of input data from a plurality of data networks, determining a field region based on the field definition data, identifying a subset of the plurality of input data associated with the field region, determining a plurality of field condition data based on the subset of the plurality of input data, identifying a plurality of field activity options, determining a recommendation score for each of the plurality of field activity options based at least in part on the plurality of field condition data, and providing a recommended field activity option from the plurality of field activity options based on the plurality of recommendation scores.
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公开(公告)号：US10667456B2
公开(公告)日：2020-06-02
申请号：US14846422
申请日：2015-09-04
Applicant: THE CLIMATE CORPORATION
Inventor： James Ethington , Eli J. Pollak , Tristan D'Orgeval , Katherine Krumme , Evin Levey , Samuel Alexander Wimbush , Erik Andrejko , Moorea Lee Brega , Sivan Aldor-Noiman
Abstract: A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving a plurality of field definition data, retrieving a plurality of input data from a plurality of data networks, determining a field region based on the field definition data, identifying a subset of the plurality of input data associated with the field region, determining a plurality of field condition data based on the subset of the plurality of input data, identifying a plurality of field activity options, determining a recommendation score for each of the plurality of field activity options based at least in part on the plurality of field condition data, and providing a recommended field activity option from the plurality of field activity options based on the plurality of recommendation scores.
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