Invention Grant
US09076118B1 Harvest advisory modeling using field-level analysis of weather conditions, observations and user input of harvest condition states, wherein a predicted harvest condition includes an estimation of standing crop dry-down rates, and an estimation of fuel costs
有权
利用对天气条件，收获状况状况的观测和用户输入进行现场分析的收获咨询建模，其中预测的收获状况包括对作物干旱率的定量估算和燃料成本的估计
- Patent Title: Harvest advisory modeling using field-level analysis of weather conditions, observations and user input of harvest condition states, wherein a predicted harvest condition includes an estimation of standing crop dry-down rates, and an estimation of fuel costs
- Patent Title (中): 利用对天气条件，收获状况状况的观测和用户输入进行现场分析的收获咨询建模，其中预测的收获状况包括对作物干旱率的定量估算和燃料成本的估计
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Application No.: US14603378Application Date: 2015-01-23
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Publication No.: US09076118B1Publication Date: 2015-07-07
- Inventor: John J. Mewes , Dustin M. Salentiny
- Applicant: ITERIS, INC.
- Applicant Address: US CA Santa Ana
- Assignee: ITERIS, INC.
- Current Assignee: ITERIS, INC.
- Current Assignee Address: US CA Santa Ana
- Agency: Lazaris IP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06Q10/06 ; G06Q50/02 ; A01G9/00
Abstract:
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.
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