发明名称 Continual crop development profiling using dynamical extended range weather forecasting with routine remotely-sensed validation imagery
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.
申请公布号 US9131644(B2) 申请公布日期 2015.09.15
申请号 US201414463111 申请日期 2014.08.19
申请人 ITERIS, INC. 发明人 Osborne Leon F.
分类号 G06G7/48;A01G7/00;G06F17/50 主分类号 G06G7/48
代理机构 Lazaris IP 代理人 Lazaris IP
主权项 1. A computerized method comprising: inputting a plurality of data that includes crop-specific information, planting specifications, remotely-sensed imagery, and meteorological data that includes fine-resolution dynamical extended range weather forecast information, the fine-resolution dynamical extended range weather forecast information representing a time period extending through to a crop maturity date; modeling the input data in a plurality of data processing modules within a computing environment in which the plurality of data processing modules are executed in conjunction with, and performed on, at least one computer processor, the data processing modules configured to generate a profile of crop development to a maturity stage by performing, over the course of a growing season, a crop growth model that includes the steps of 1) generating an accumulated growing degree days estimate of crop growth stages, 2) validating the estimate of crop growth stages by comparing the estimate with a time-series profile of crop growth data derived from the remotely-sensed imagery of a crop field, 3) determining actual growth stages from direct user-provided field observations representing at least one of temperature values and crop growth, at least one time during a crop growing season, 4) identifying differences between the estimate of crop growth stages and crop growth changes indicated by the comparison with remotely-sensed imagery and from the actual growth stages, and adjusting the estimate, and 5) generating an accumulated growing degree days projection of the crop growth stages by extracting daily maximum and minimum air temperatures from forecasted information based on the dynamical extended range weather forecast information to describe heat accumulated for a crop location for the time period extending through to the crop maturity date; and generating one or more of a crop growth action report and a crop summary report from the profile of crop development.
地址 Santa Ana CA US