Detecting contamination or feature mixing within harvest polygons at a vector level
AssigneeClimate LLC
InventorsMarkus Huber, Mike Lyons, Matt Garvert, Fletcher Werner
Life of this patent
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AssigneeClimate LLC
InventorsMarkus Huber, Mike Lyons, Matt Garvert, Fletcher Werner
Estimating the term…
Systems and methods for determining a degree or rate of error for treatments at a field are disclosed herein. In some embodiments, a system receives first data corresponding to a first agronomic treatment at a field and second data corresponding to a second agronomic treatment at the field. The system uses the first and second data to determine differences and overlaps between characteristics of the first and second data to quantify an error rate at individual subsets of the field. Based on the quantified error rate, a number of metrics and yield data may be interpreted differently or modified to fit the result of the quantified error rate. The system uses the quantified error rate to predict the effectiveness of treatments, modify the rate of experienced yields at a field, and recommend real-time and subsequent corrective actions to take at the field.
A computer-implemented method for collecting and utilizing measured field data as part of a practical implementation of an error detection and quantification system in an agronomic field, the method comprising:
One or more non-transitory readable-storage media storing instructions which, when executed by one or more computing devices, cause the one or more computing devices to perform:
A data processing system comprising:
Dependencies are inferred from the claim text.