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1. 发明授权

US11182521B2 Subfield moisture model improvement using overland flow modeling with shallow water computations 有权
公开(公告)号：US11182521B2
公开(公告)日：2021-11-23
申请号：US16555267
申请日：2019-08-29
申请人： THE CLIMATE CORPORATION
发明人： Asra Nizami , Jennifer Holt , Robert Ewing , Steven De Gryze , John Gates , Harish Sangireddy , John Browning Burdick , Michael S. Byrns
IPC分类号： G05B19/042 , G06F30/20 , G06T11/00 , A01C21/00 , A01B79/00 , A01D75/00 , A01G25/16 , G06F111/10
摘要： Subfield moisture model improvement in generating overland flow modeling using shallow water calculations and kinematic wave calculations is disclosed. In an embodiment, a computer-implemented data processing method comprises: receiving precipitation data and infiltration data for an agricultural field; obtaining surface water depth data, surface water velocity data, and surface water discharge data for the same agricultural field; determining subfield geometry data for the agricultural field; executing a plurality of water calculations and wave calculations using the subfield geometry data to generate an overland flow model that includes moisture levels for the agricultural field; based on, at least in part, the overland flow model, generating and causing displaying a visual graphical image of the agricultural field comprising a plurality of color pixels having color values corresponding to the moisture levels determined for the agricultural field. Output of the overland flow model is provided to control computers of seeders, planters, fertilizer spreaders, harvesters, or combines to control seeding, planting, fertilizing or irrigation activities in the field.

2. 发明申请

US20200151376A1 GENERATING DIGITAL MODELS OF NUTRIENTS AVAILABLE TO A CROP OVER THE COURSE OF THE CROP'S DEVELOPMENT BASED ON WEATHER AND SOIL DATA 审中-公开
公开(公告)号：US20200151376A1
公开(公告)日：2020-05-14
申请号：US16743945
申请日：2020-01-15
申请人： The Climate Corporation
发明人： John Gates , Steven De Gryze
IPC分类号： G06F30/20 , G06N5/04 , A01G25/16 , A01C21/00
摘要： A system for generating digital models of nitrogen availability based on field data, weather forecast data, and models of water flow, temperature, and crop uptake of nitrogen and water is provided. In an embodiment, field data and forecast data are received by an agricultural intelligence computing system. Based on the received data, the agricultural intelligence computing system models changes in temperature of different soil layers, moisture content of different soil layers, and loss of nitrogen and water to the soil through crop uptake, leaching, denitrification, volatilization, and evapotranspiration. The agricultural intelligence computing system creates a digital model of nitrogen availability based on the temperature, moisture content, and loss models. The agricultural intelligence computing system may then send nitrogen availability data to a field manager computing device and/or use the nitrogen availability data to create notifications, recommendations, agronomic models, and/or control parameters for an application controller.

3. 发明申请

US20170061052A1 Generating Digital Models Of Nutrients Available To A Crop Over The Course Of The Crop's Development Based On Weather And Soil Data 审中-公开
标题翻译：基于天气和土壤数据生成农作物发展过程中可用的营养素数字模型
公开(公告)号：US20170061052A1
公开(公告)日：2017-03-02
申请号：US15351344
申请日：2016-11-14
申请人： The Climate Corporation
发明人： John Gates , Steven De Gryze
IPC分类号： G06F17/50 , A01C21/00 , A01G25/16 , G06N5/04
CPC分类号： G06F17/5009 , A01C21/007 , A01G25/167 , G06N5/04 , Y02A40/50
摘要： A system for generating digital models of nitrogen availability based on field data, weather forecast data, and models of water flow, temperature, and crop uptake of nitrogen and water is provided. In an embodiment, field data and forecast data are received by an agricultural intelligence computing system. Based on the received data, the agricultural intelligence computing system models changes in temperature of different soil layers, moisture content of different soil layers, and loss of nitrogen and water to the soil through crop uptake, leaching, denitrification, volatilization, and evapotranspiration. The agricultural intelligence computing system creates a digital model of nitrogen availability based on the temperature, moisture content, and loss models. The agricultural intelligence computing system may then send nitrogen availability data to a field manager computing device and/or use the nitrogen availability data to create notifications, recommendations, agronomic models, and/or control parameters for an application controller.
摘要翻译：提供了一种基于现场数据，天气预报数据和水流量，温度和氮素和水分作物摄取模型生成氮可用性数字模型的系统。在一个实施例中，现场数据和预测数据由农业智能计算系统接收。根据收到的数据，农业智能计算系统模型通过作物吸收，浸出，脱氮，挥发和蒸发等方式模拟不同土层温度，不同土层含水量，土壤氮，水的损失情况。农业智能计算系统基于温度，含水量和损耗模型创建了氮可用性的数字模型。然后，农业智能计算系统可以向现场管理器计算设备发送氮可用性数据和/或使用氮可用性数据来为应用控制器创建通知，建议，农学模型和/或控制参数。

4. 发明授权

US11068625B2 Generating digital models of nutrients available to a crop over the course of the crop's development based on weather and soil data 有权
公开(公告)号：US11068625B2
公开(公告)日：2021-07-20
申请号：US15351344
申请日：2016-11-14
申请人： The Climate Corporation
发明人： John Gates , Steven De Gryze
IPC分类号： G06F17/50 , A01C21/00 , A01G25/16 , G06N5/04 , G06F30/20
摘要： A system for generating digital models of nitrogen availability based on field data, weather forecast data, and models of water flow, temperature, and crop uptake of nitrogen and water is provided. In an embodiment, field data and forecast data are received by an agricultural intelligence computing system. Based on the received data, the agricultural intelligence computing system models changes in temperature of different soil layers, moisture content of different soil layers, and loss of nitrogen and water to the soil through crop uptake, leaching, denitrification, volatilization, and evapotranspiration. The agricultural intelligence computing system creates a digital model of nitrogen availability based on the temperature, moisture content, and loss models. The agricultural intelligence computing system may then send nitrogen availability data to a field manager computing device and/or use the nitrogen availability data to create notifications, recommendations, agronomic models, and/or control parameters for an application controller.

5. 发明授权

US09519861B1 Generating digital models of nutrients available to a crop over the course of the crop's development based on weather and soil data 有权
标题翻译：根据天气和土壤数据，在作物发育过程中生成可用于作物的数字模型
公开(公告)号：US09519861B1
公开(公告)日：2016-12-13
申请号：US14842321
申请日：2015-09-01
申请人： THE CLIMATE CORPORATION
发明人： John Gates , Steven De Gryze
IPC分类号： G06N5/02 , G06F17/50
CPC分类号： G06N5/02 , A01C21/007 , A01G7/06 , G01N15/0826 , G06F15/18 , G06F17/5022 , Y02A40/50
摘要： A system for generating digital models of nitrogen availability based on field data, weather forecast data, and models of water flow, temperature, and crop uptake of nitrogen and water is provided. In an embodiment, field data and forecast data are received by an agricultural intelligence computing system. Based on the received data, the agricultural intelligence computing system models changes in temperature of different soil layers, moisture content of different soil layers, and loss of nitrogen and water to the soil through crop uptake, leaching, denitrification, volatilization, and evapotranspiration. The agricultural intelligence computing system creates a digital model of nitrogen availability based on the temperature, moisture content, and loss models. The agricultural intelligence computing system may then send nitrogen availability data to a field manager computing device and/or use the nitrogen availability data to create notifications, recommendations, agronomic models, and/or control parameters for an application controller.
摘要翻译：提供了一种基于现场数据，天气预报数据和水流量，温度和氮素和水分作物摄取模型生成氮可用性数字模型的系统。在一个实施例中，现场数据和预测数据由农业智能计算系统接收。根据收到的数据，农业智能计算系统模型通过作物吸收，浸出，脱氮，挥发和蒸发等方式模拟不同土层温度，不同土层含水量，土壤氮，水的损失情况。农业智能计算系统基于温度，含水量和损耗模型创建了氮可用性的数字模型。然后，农业智能计算系统可以向现场管理器计算设备发送氮可用性数据和/或使用氮可用性数据来为应用控制器创建通知，建议，农学模型和/或控制参数。

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