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1. 发明授权

US09518753B2 Assessment of moisture content of stored crop, and modeling usage of in-bin drying to control moisture level based on anticipated atmospheric conditions and forecast time periods of energy usage to achieve desired rate of grain moisture change through forced-air ventilation 有权
标题翻译：评估储存的作物的水分含量，以及根据预期的大气条件和能量使用的预测时间段来控制水分含量的模型使用，以通过强制通风来达到所需的谷物湿度变化率
公开(公告)号：US09518753B2
公开(公告)日：2016-12-13
申请号：US14842853
申请日：2015-09-02
申请人： ITERIS, INC.
发明人： John J. Mewes , Dustin M. Salentiny
IPC分类号： G06N99/00 , F24F11/00 , A01B79/00 , A01G25/16 , A01G1/00 , G05B13/04 , G06Q50/02 , A01D91/00 , A01F25/22
CPC分类号： G06F17/5009 , A01B79/005 , A01D91/00 , A01F12/58 , A01F25/22 , A01G22/00 , A01G25/167 , G01W1/10 , G05B13/048 , G06N5/04 , G06N99/00 , G06Q50/02 , Y02A40/12 , Y02A90/14
摘要： A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyses.
摘要翻译：用于评估天气条件对农业和收获作业的影响的建模框架适用于实时，现场一级的天气数据和气象和气候条件的预测，以及用户提供和/或观察到的收获现状状况的反馈，农业模式的相关条件，并为精确农业产生多个收获咨询产出。收获咨询模型模拟并预测了这种天气信息和用户提供的和/或观察到的反馈对精准农业的一种或多种物理，经验或人工智能模型的影响，以分析作物，植物，土壤和所产生的农产品，并为诊断支持工具提供收获咨询产出，以便用户通过提供前期，后期或现场采伐作业和作物分析来加强农业和收获决策。

2. 发明授权

US09098654B2 Pavement condition analysis from modeling impact of traffic characteristics, weather data and road conditions on segments of a transportation network infrastructure 有权
标题翻译：路面状况分析，从运输网络基础设施部分的交通特征，天气数据和道路状况造成的影响
公开(公告)号：US09098654B2
公开(公告)日：2015-08-04
申请号：US14294056
申请日：2014-06-02
申请人： ITERIS, INC.
发明人： John J. Mewes , Leon F. Osborne
IPC分类号： G06G7/48 , G06F17/50
CPC分类号： G06F17/5009 , Y02T10/82
摘要： A pavement condition analysis system and method models a state of a roadway by processing at least traffic and weather data to simulate the impact of traffic and weather conditions on a particular section of a transportation infrastructure. Traffic data is ingested from a plurality of different external sources to incorporate various approaches estimating traffic characteristics such as speed, flow, and incidents, into a road condition model to analyze traffic conditions on the roadway in order to improve road condition assessments and/or prediction. A road condition model applies these traffic characteristics, weather data, and other input data relevant to road conditions, accounting for heat and moisture exchanges between the road, the atmosphere, and pavement substrate(s) in a pavement's composition, as further influenced by traffic and road maintenance activities, to generate accurate and reliable simulations and predictions of pavement condition states for motorists, communication to vehicles, use by industry and public entities, and other end uses such as media distribution.
摘要翻译：道路状况分析系统和方法通过处理至少交通和天气数据来模拟道路状态，以模拟交通和天气条件对交通基础设施的特定部分的影响。交通数据从多个不同的外部来源摄入，以将估计诸如速度，流量和事件之类的交通特征的各种方法并入道路状况模型中，以分析道路上的交通状况，以改善道路状况评估和/或预测。道路状况模型应用与道路状况相关的这些交通特征，天气数据和其他输入数据，考虑道路，大气和路面构成中的路面基底之间的热交换，进一步受交通影响和道路维护活动，以便为驾驶者，与车辆的通信，工业和公共实体的使用以及其他最终用途（如媒体分发）产生准确可靠的模拟和预测路面条件状态。

3. 发明授权

US10043397B2 Mission prioritization and work order arrangement for unmanned aerial vehicles and remotely-piloted vehicles 有权
公开(公告)号：US10043397B2
公开(公告)日：2018-08-07
申请号：US15012510
申请日：2016-02-01
申请人： ITERIS, INC.
发明人： Dustin M. Salentiny , John J. Mewes
IPC分类号： G05D1/00 , G05D1/02 , G05D1/10 , B64C39/02 , G08G5/00
摘要： A framework for combining a weather risk analysis with appropriate operational rules includes a data initialization component, a rules processing component, and one or more weather risk analysis and assessment tools to evaluate a flight condition. The framework applies current, historical, predicted and forecasted weather data to the one or more operational rules governing a mission, a payload, a flight plan, a craft type, and a location of the mission for aircraft such as an unmanned aerial vehicle or remotely-piloted vehicle, and generates advisories based on the evaluation of flight conditions such as a mission compliance status, instructions for operation of unmanned aircraft, and management advisories. The flight condition advisories include either a “fly” advisory or a “no-fly” advisory, and the framework may also provide a mission prioritization and optimization system.

4. 发明授权

US09922062B2 High-performance gridded data storage, arrangement and extraction 有权
公开(公告)号：US09922062B2
公开(公告)日：2018-03-20
申请号：US14332768
申请日：2014-07-16
申请人： ITERIS, INC.
发明人： Douglas K. Rand , John J. Mewes , Leif Pedersen , Kristopher A. Zarns , Dustin Salentiny
IPC分类号： G06F17/30
CPC分类号： G06F17/30321 , G06F17/30241
摘要： A high-performance gridded database protocol for storing, arranging, and extracting gridded data includes associating values for a single grid cell and storing them together to extract as many useful values as possible from a single read operation. Gridded data is stored in a geographically-indexed cylindrical grid that permits efficient data extraction for a particular location while maximizing efficiency of read operations. Cylinders of values are built by grouping grids that are related to each other so that when data for a location is to be extracted, a minimal number of read operations is needed to retrieve an entire stack of data relevant to the location.

5. 发明授权

US09311605B1 Modeling of time-variant grain moisture content for determination of preferred temporal harvest windows and estimation of income loss from harvesting an overly-dry crop 有权
标题翻译：模拟时变谷物含水量，用于确定优选的时间收获窗口，并估计收获过度干旱作物的收入损失
公开(公告)号：US09311605B1
公开(公告)日：2016-04-12
申请号：US14842852
申请日：2015-09-02
申请人： ITERIS, INC.
发明人： John J. Mewes , Dustin M. Salentiny
IPC分类号： G06N99/00 , A01D91/00
CPC分类号： G06F17/5009 , A01B79/005 , A01D91/00 , A01F12/58 , A01F25/22 , A01G22/00 , A01G25/167 , G01W1/10 , G05B13/048 , G06N5/04 , G06N99/00 , G06Q50/02 , Y02A40/12 , Y02A90/14
摘要： A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analysis.
摘要翻译：用于评估天气条件对农业和收获作业的影响的建模框架适用于实时，现场一级的天气数据和气象和气候条件的预测，以及用户提供和/或观察到的收获现状状况的反馈，农业模式的相关条件，并为精确农业产生多个收获咨询产出。收获咨询模型模拟并预测了这种天气信息和用户提供的和/或观察到的反馈对精准农业的一种或多种物理，经验或人工智能模型的影响，以分析作物，植物，土壤和所产生的农产品，并向诊断支持工具提供收获咨询产出，以便用户通过提供前期，后期或现场采伐作业和作物分析来加强农业和收获决策。

6. 发明授权

US09292796B1 Harvest advisory modeling using field-level analysis of weather conditions and observations and user input of harvest condition states and tool for supporting management of farm operations in precision agriculture 有权
标题翻译：收获咨询模型，采用田间级分析天气条件和观测资料以及收获状况状况的用户输入情况，以及支持管理精准农业经营的工具
公开(公告)号：US09292796B1
公开(公告)日：2016-03-22
申请号：US14738836
申请日：2015-06-13
申请人： ITERIS, INC.
发明人： John J. Mewes , Dustin M. Salentiny
IPC分类号： G06F17/00 , G06N5/02 , G06N5/04 , G06N99/00
CPC分类号： G06N5/04 , A01G9/00 , A01G22/00 , G06N99/005 , G06Q10/0631 , G06Q10/067 , G06Q50/02 , Y02A40/12
摘要： A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyzes.
摘要翻译：用于评估天气条件对农业和收获作业的影响的建模框架适用于实时，现场一级的天气数据和气象和气候条件的预测，以及用户提供和/或观察到的收获现状状况的反馈，农业模式的相关条件，并为精确农业产生多个收获咨询产出。收获咨询模型模拟并预测了这种天气信息和用户提供的和/或观察到的反馈对精准农业的一种或多种物理，经验或人工智能模型的影响，以分析作物，植物，土壤和所产生的农产品，并为诊断支持工具提供收获咨询产出，以便用户通过提供前期，后期或现场采伐作业和作物分析来加强农业和收获决策。

7. 发明授权

US09201991B1 Risk assessment of delayed harvest operations to achieve favorable crop moisture levels using field-level diagnosis and forecasting of weather conditions and observations and user input of harvest condition states 有权
标题翻译：风险评估延迟收获作业，以实现有利的作物水分水平，使用田间水平的诊断和预测的天气条件和观察和用户输入收获条件状态
公开(公告)号：US09201991B1
公开(公告)日：2015-12-01
申请号：US14603383
申请日：2015-01-23
申请人： ITERIS, INC.
发明人： John J. Mewes , Dustin M. Salentiny
IPC分类号： G06G7/48 , G06F17/50 , G06N5/04
CPC分类号： G06F17/5009 , G06N99/005 , Y02A40/12
摘要： A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyzes.
摘要翻译：用于评估天气条件对农业和收获作业的影响的建模框架适用于实时，现场一级的天气数据和气象和气候条件的预测，以及用户提供和/或观察到的收获现状状况的反馈，农业模式的相关条件，并为精确农业产生多个收获咨询产出。收获咨询模型模拟并预测了这种天气信息和用户提供的和/或观察到的反馈对精准农业的一种或多种物理，经验或人工智能模型的影响，以分析作物，植物，土壤和所产生的农产品，并为诊断支持工具提供收获咨询产出，以便用户通过提供前期，后期或现场采伐作业和作物分析来加强农业和收获决策。

8. 发明授权

US10255391B2 Modeling of time-variant threshability due to interactions between a crop in a field and atmospheric and soil conditions for prediction of daily opportunity windows for harvest operations using field-level diagnosis and prediction of weather conditions and observations and recent input of harvest condition states 有权
公开(公告)号：US10255391B2
公开(公告)日：2019-04-09
申请号：US15345856
申请日：2016-11-08
申请人： ITERIS, INC.
发明人： John J. Mewes , Dustin M. Salentiny
IPC分类号： G06N20/00 , A01D91/00 , G06F17/50 , A01B79/00 , A01G25/16 , G06N99/00 , G05B13/04 , G06Q50/02 , A01F12/58 , G01W1/10 , G06N5/04 , A01G22/00 , A01F25/22
摘要： A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyzes.

9. 发明授权

US09880140B2 Continual crop development profiling using dynamical extended range weather forecasting with routine remotely-sensed validation imagery 有权
公开(公告)号：US09880140B2
公开(公告)日：2018-01-30
申请号：US14853593
申请日：2015-09-14
申请人： ITERIS, INC.
发明人： Leon F. Osborne , Brent L. Shaw , John J. Mewes , Dustin M. Salentiny
IPC分类号： A01G7/00 , G01N33/00 , G06F17/50
CPC分类号： G01N33/0098 , A01G7/00 , G06F17/5009
摘要： A modeling framework for estimating crop growth and development over the course of an entire growing season generates a continuing profile of crop development from any point prior to and during a growing season until a crop maturity date is reached. The modeling framework applies extended range weather forecasts and remotely-sensed imagery to improve crop growth and development estimation, validation and projection. Output from the profile of crop development profile generates a combination of data for use in auxiliary farm management applications.

10. 发明授权

US09031884B1 Modeling of plant wetness and seed moisture for determination of desiccant application to effect a desired harvest window using field-level diagnosis and forecasting of weather conditions and observations and user input of harvest condition states 有权
标题翻译：植物湿度和种子水分的建模，用于确定干燥剂应用以实现期望的收获窗口，使用田间水平的诊断和预测天气条件和观测值以及收获状态的用户输入
公开(公告)号：US09031884B1
公开(公告)日：2015-05-12
申请号：US14603385
申请日：2015-01-23
申请人： Iteris, Inc.
发明人： John J. Mewes , Dustin M. Salentiny
IPC分类号： G06F15/18 , G06Q10/06 , A01G13/00
CPC分类号： G06Q10/0631 , A01D91/00 , A01G13/00 , G06Q10/067 , Y02A40/12
摘要： A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyses.
摘要翻译：用于评估天气条件对农业和收获作业的影响的建模框架适用于实时，现场一级的天气数据和气象和气候条件的预测，以及用户提供和/或观察到的收获现状状况的反馈，农业模式的相关条件，并为精确农业产生多个收获咨询产出。收获咨询模型模拟并预测了这种天气信息和用户提供的和/或观察到的反馈对精准农业的一种或多种物理，经验或人工智能模型的影响，以分析作物，植物，土壤和所产生的农产品，并为诊断支持工具提供收获咨询产出，以便用户通过提供前期，后期或现场采伐作业和作物分析来加强农业和收获决策。

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