Calibration Model for Field Measurement Metric Conversion
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Solution Overview
Problem
Automatic field measurement systems produce data in metrics that do not accurately scale with established agronomical measurements, making it difficult for agricultural operators to understand and use the data effectively for optimizing field conditions such as crop residue and soil roughness.
Innovation Solution
A computer-implemented method and system that uses a calibration model to convert automatic field measurement data from one metric to agronomically relevant metrics, allowing for accurate scaling and improved usability of field measurement data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic field measurement systems are used to generate field measurements automatically, then productivity is improved, but measurement precision deteriorates because the automatic system metric does not accurately scale with established agronomical measurements
Solution Approach 1:
A calibration model serves as an intermediary between the automatic field measurement system and agronomical reference measurements. The calibration model receives automatic system metrics as input and transforms them into calibrated agronomical metrics, enabling the automatic system to produce accurate measurements without manual intervention. This resolves the contradiction by maintaining automated efficiency while achieving measurement accuracy through the calibration intermediary.
2Device complexity
If automatic field measurement systems use their own internal metrics, then device complexity is reduced, but ease of operation deteriorates because agricultural operators cannot understand or use the data effectively
Solution Approach 1:
The calibration model transforms measurement parameters from the automatic system's internal metric scale to the familiar agronomical metric scale. This parameter transformation allows the system to maintain its simple internal automatic measurements while outputting data in terms that agricultural operators can understand and use effectively, resolving the contradiction between system simplicity and data usability.
Data Source
AI summary
The present disclosure provides systems and methods for adjusting the output of a field measurement system to conform to agronomy measurements. In particular, the present subject matter is directed to a calibration process and system that uses a calibration model to convert field measurement data expressed according to an automatic system metric into agronomy data that is expressed according to an agronomy metric.