Continual crop development profiling using dynamical extended range weather forecasting with routine remotely-sensed validation imagery
First Claim
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1. A computerized method comprising:
- inputting a plurality of data that includes crop-specific information, planting specifications, remotely-sensed imagery of a crop'"'"'s location in a field and from which positional coordinates of the crop'"'"'s location in the field are extracted, 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 correlated with the extracted positional coordinates of the crop'"'"'s location in the 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 by assigning weights that prioritize actual growth stage data in observations taken from locations within a specified range of the crop'"'"'s location in the field, and
5) generating an accumulated growing degree days projection of the crop growth stages relative to the extracted positional coordinates of the crop'"'"'s location 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;
generating one or more crop maturity reports for the crop location from the profile of crop development that represent anticipated crop harvest and yield characteristics based on the accumulated growing degree days projection of the crop growth stages for the crop growing season;
relating the accumulated growing degree days projection of the crop growth stages to the remotely-sensed imagery of a crop'"'"'s location by associating the positional coordinates extracted from the remotely-sensed imagery to generate a map of the crop'"'"'s location in the field representing the crop growth changes over time and correlated with the anticipated crop harvest and yield characteristics at the location defined by the positional coordinates; and
continually updating the map of the crop'"'"'s location in the field over the course of a growing season from the positional coordinates in the remotely-sensed imagery.
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Abstract
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.
19 Citations
30 Claims
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1. A computerized method comprising:
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inputting a plurality of data that includes crop-specific information, planting specifications, remotely-sensed imagery of a crop'"'"'s location in a field and from which positional coordinates of the crop'"'"'s location in the field are extracted, 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 correlated with the extracted positional coordinates of the crop'"'"'s location in the 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 by assigning weights that prioritize actual growth stage data in observations taken from locations within a specified range of the crop'"'"'s location in the field, and
5) generating an accumulated growing degree days projection of the crop growth stages relative to the extracted positional coordinates of the crop'"'"'s location 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;generating one or more crop maturity reports for the crop location from the profile of crop development that represent anticipated crop harvest and yield characteristics based on the accumulated growing degree days projection of the crop growth stages for the crop growing season; relating the accumulated growing degree days projection of the crop growth stages to the remotely-sensed imagery of a crop'"'"'s location by associating the positional coordinates extracted from the remotely-sensed imagery to generate a map of the crop'"'"'s location in the field representing the crop growth changes over time and correlated with the anticipated crop harvest and yield characteristics at the location defined by the positional coordinates; and continually updating the map of the crop'"'"'s location in the field over the course of a growing season from the positional coordinates in the remotely-sensed imagery. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system comprising:
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a computer processor; and at least one non-transitory computer-readable storage medium operably coupled to the computer processor and having program instructions stored therein, the computer processor being operable to execute the program instructions to generate a profile of crop development to a maturity stage by performing, over the course of a growing season, a crop growth model within a plurality of data processing modules, the plurality of data processing modules including; a data ingest module configured to input crop-specific information and planting specifications, remotely-sensed imagery of a crop'"'"'s location in a field and from which positional coordinates of the crop'"'"'s location in the field are extracted, 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; an estimation module configured to generate an accumulated growing degree days estimate of crop growth stages; a crop validation module configured to
1) compare the estimate with a time-series profile of crop growth data derived from remotely-sensed imagery correlated with the extracted positional coordinates of a crop'"'"'s location in the field to validate the estimate of crop growth stages,
2) determine 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,
3) identify 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 by assigning weights that prioritize actual growth stage data in observations taken from locations within a specified range of the crop'"'"'s location in the field;a projection module configure to generate an accumulated growing degree days projection of the crop growth stages relative to the extracted positional coordinates of the crop'"'"'s location 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 a crop growth reporting module configured to generate one or more crop maturity reports for the crop location from the profile of crop development that represent anticipated crop harvest and yield characteristics based on the accumulated growing degree days projection of the crop growth stages for the crop growing season, and relate the accumulated growing degree days projection of the crop growth stages to the remotely-sensed imagery of a crop'"'"'s location by associating the positional coordinates extracted from the remotely-sensed imagery and generate a map of the crop'"'"'s location in the field representing the crop growth changes over time, correlated with the anticipated crop harvest and yield characteristics, at the location defined by the positional coordinates, and continually update the map of the crop'"'"'s location over the course of a growing season from the positional coordinates in the remotely-sensed imagery. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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21. A method of projecting crop growth over the course of a growing season, comprising:
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within a computing environment comprised of a computer processor and at least one non-transitory computer-readable storage medium operably coupled to the computer processor and having program instructions stored therein, the computer processor being operable to execute the program instructions to augment a crop growth model configured to perform the steps of; estimating an accumulated growing degree days of a plurality of crop growth stages, by generating a profile of crop development over the course of a crop growing season through to a maturity stage; adjusting the estimate based on differences with crop growth changes identified by a comparison between the estimate with a time-series profile of crop growth data derived from remotely-sensed imagery of a crop'"'"'s location in a field and correlated with positional coordinates of the crop'"'"'s location in the field extracted from the remotely-sensed imagery and from actual growth stages indicated by direct user-provided field observations; assigning weights that prioritize actual growth stage data in observations taken from locations within a specified range of the crop'"'"'s location in the field; projecting accumulated growing degree days of the crop growth stages relative to the extracted positional coordinates of the crop'"'"'s location in the field for a time period extending through to the crop maturity date by extracting daily maximum and minimum air temperatures from forecasted information based on dynamical extended range weather forecast information to describe heat accumulated for the crop'"'"'s location; generating one or more crop maturity reports for the crop location from the profile of crop development that represent anticipated crop harvest and yield characteristics based on the accumulated growing degree days projection of the crop growth stages for the crop growing season; and mapping the accumulated growing degree days of the crop growth stages, correlated with the anticipated crop harvest and yield characteristics, at the location defined by the positional coordinates over the course of a growing season. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30)
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Specification