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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
专利权人:
ITERIS; INC.
发明人:
John J. Mewes,Dustin M. Salentiny
申请号:
US14842852
公开号:
US09311605B1
申请日:
2015.09.02
申请国别(地区):
US
年份:
2016
代理人:
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.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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