Continual crop development profiling using dynamical extended range weather forecasting with routine remotely-sensed validation imagery

A method comprising:

• inputting a plurality of input data that includes crop-specific information, planting specifications, remotely-sensed imagery, and meteorological data that includes dynamical extended range weather forecast information, the dynamical extended range weather forecast information including a plurality of weather forecasts generated by independent sources, and covering a time period extending from a current day to a maturity date for a crop in a particular field;
• 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 profile crop development through to a maturity stage by modeling crop growth over the course of a crop growing season, by
• developing a specific crop growth model for analyzing past and present growth stages of the crop, to obtain at least one temporal estimate of crop growth for a remainder of the crop growing season, the specific crop growth model developed by
• 1) applying a growing degree day model to historical and current weather information for a location of the particular field to generate a profile of past and present growth stages of the crop, 2) assessing the past and present growth stages of the crop on one or more dates by analyzing the remotely-sensed imagery of the crop captured on the one or more dates, 3) adjusting the profile of past and present growth stages based on assessments of the past and present growth stages on the one or more dates, and 4) generating a plurality of independent forecast profiles of further crop growth, starting from the current date and extending through to the time of crop maturity, by applying the plurality of dynamical extended range weather forecasts generated by independent sources in the growing degree day model;
• and
• applying the plurality of independent forecast profiles of further crop growth to identify ranges of future dates on which the crop will reach remaining crop growth stages in the crop growing season;
• and
• generating one or more of a crop growth action report and a crop summary report representing the at least one temporal estimate of crop growth for the remainder of the crop growing season.