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    • 5. 发明授权
    • 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
    • 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
    • US09201991B1
    • 2015-12-01
    • US14603383
    • 2015-01-23
    • ITERIS, INC.
    • John J. MewesDustin M. Salentiny
    • G06G7/48G06F17/50G06N5/04
    • G06F17/5009G06N99/005Y02A40/12
    • 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.
    • 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。