Multi-variable model for identifying crop response zones in a field
AssigneeThe Board of Trustees of the University of Illinois
InventorsJohn Dennis McGuire, Randall Scott Pearson
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AssigneeThe Board of Trustees of the University of Illinois
InventorsJohn Dennis McGuire, Randall Scott Pearson
Estimating the term…
An computer implemented apparatus and method are disclosed for defining areas of a field in which a crop or other vegetation is grown based on their selective ability to grow such vegetation through a growing season, or some shorter preselected time period. The method includes making a number of temporally separated measurements through air borne imaging of a field, registering the data to the geography of the field and each other, normalizing the data including converting the data to a vegetative index indicative to the presence of vegetation in the field, comparing the data to identify clusters of like value, and classifying the clusters and images to learn how the different field areas responded in growing vegetation through the season. With this method, the field may be segregated into a number of like areas called crop response zones which exhibit similar vegetative growth characteristics as an aid to a grower in his decision making regarding how to maximize yield in his field.
A method for processing multiple initial data sets of unclassified pixel values to enable their comparison on a relative basis, each of said data sets being representative of the vegetative growth in a field, said method comprising the steps of:
A method for scaling multiple data sets of pixel values to enable their comparison on a relative basis, each of said data sets being representative of the vegetative growth in a field, each data set comprising unclassified pixel values, said method comprising the steps of:
A method for characterizing different areas of a field used for growing vegetation according to the presence of vegetation in said areas over a growing season, said method comprising the steps of:
A method for defining a plurality of crop response zones in a field used for growing vegetation, each of said crop response zones being characterized by having similar temporal growth characteristics, the method comprising the steps of:
A pre-programmed digital electronic device for defining a plurality of crop response zones in a field used for growing vegetation, each of said crop response zones being characterized by having similar temporal vegetative growth characteristics, comprising:
A pre-programmed digital electronic device for processing multiple initial data sets of unclassified pixel values to enable their comparison on a relative basis, each of said data sets being representative of the vegetative growth in a field, comprising:
A method for defining areas in a field which perform substantially alike in growing vegetation over the course of at least a portion of a growing season, said method comprising the steps of:
A method for processing multiple data sets of unclassified pixel values to enable their comparison on a relative basis, at least one of said data sets being representative of the agronomic variability in a field, said method comprising the steps of:
A method of scaling multiple data sets of unclassified pixel values to enable their comparison on a relative basis, at least one of said data sets being representative of the agronomic variability in a field, said method comprising the steps of:
A method for characterizing different areas of a field used for growing vegetation according to the presence of vegetation in said areas over time, said method comprising the steps of:
A method for defining a plurality of crop response zones in a field used for growing vegetation, each of said crop response zones being characterized by having similar temporal vegetative growth characteristics, the method comprising the steps of:
A method for defining areas in a field which perform substantially alike in growing vegetation over the course of time, said method comprising the steps of:
Dependencies are inferred from the claim text.