Agricultural Sensor Calibration via Frequency Domain Transformation
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Solution Overview
Problem
Existing systems for determining the surface profile of agricultural fields after tillage operations lack effective calibration methods for sensors, which affects the accuracy of surface profile detection.
Innovation Solution
A system and method for calibrating sensors using a calibration device with a base portion and projections that approximate the surface profile of an agricultural field, where a computing system converts sensor data from the spatial domain to the frequency domain using spectral analysis to calibrate the sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor calibration is performed using traditional spatial domain methods, then calibration can be completed, but the computing resources required are excessive and the logic is complex
Solution Approach 1:
The patent transforms the calibration data from spatial domain to frequency domain using Fast Fourier Transform (FFT), changing the mathematical representation parameters. This transformation converts complex spatial variations into simpler frequency components, making it easier to identify and correct sensor calibration errors while reducing computational complexity in the calibration process
2Measurement precision
If sensor calibration is performed using traditional spatial domain methods, then calibration can be completed, but the computing resources required are excessive
Solution Approach 1:
By transforming calibration data from spatial domain to frequency domain using FFT, the patent reduces the computational burden. The frequency domain representation allows for more efficient identification of systematic errors and calibration patterns, thereby reducing the energy and computing resources required while maintaining calibration accuracy
3Measurement precision
If a calibration device approximating field surface profile is used, then calibration accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent creates a simplified calibration device that copies the essential characteristics of the field surface profile using periodic ridges and valleys. This scaled-down model replicates the key features needed for calibration without requiring a full-scale replica of actual field conditions, thereby reducing device complexity while maintaining calibration effectiveness
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The calibration method improves the accuracy of surface profile detection by using frequency domain data, which requires simpler logic and fewer computing resources compared to spatial domain data, thereby enhancing the operational efficiency of agricultural implements.
Implementation Method 1
the sensor configured to emit output signals for reflection off of a surface and detect reflections of the output signals as return signals
Data Source
AI summary
An agricultural implement includes a sensor configured to emit output signals for reflection off of a surface and detect reflections of the output signals as return signals. Furthermore, the agricultural implement includes a computing system configured to control the sensor such that the sensor emits the output signals for reflection off of a calibration device including a base portion and a plurality of projections extending outward from the base portion such that a top surface of the calibration device approximates a surface profile of the field. Moreover, the computing system is configured to receive data indicative of a profile of the top surface of the calibration device from the sensor in a spatial domain. Additionally, the computing system is configured to convert the received data to a frequency domain using a spectral analysis technique and calibrate an operation of the sensor based on the converted data.