Signal-Based Soil Analysis with Multi-Frequency Impedance
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Solution Overview
Problem
Current soil and water management systems lack efficient and rapid methods for assessing soil nutrient levels, particularly nitrogen, leading to inefficient crop production and environmental impacts such as leaching and volatilization.
Innovation Solution
A system that transmits electrical signals at multiple frequencies through the soil to measure complex impedance and permittivity, using nonparametric Bayesian inference to determine soil attributes like nitrate levels in real-time, enabling in-situ analysis without sample processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional soil sampling and laboratory analysis methods are used, then measurement precision can be achieved, but the measurement process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces mechanical soil sampling and laboratory-based spectrophotometric analysis with an electromagnetic field-based sensing system. Electrical signals are transmitted through the soil and the resulting impedance and permittivity measurements are used to determine nitrate levels, eliminating the need for physical soil core collection, transportation, and laboratory processing.
Solution Approach 2:
The patent introduces electrical signals as an intermediary to indirectly measure soil nitrate levels. Instead of directly analyzing soil samples, the system measures the electrical impedance and permittivity of the soil, which are affected by nitrate content, and uses these measurements to infer nitrate levels through calibration relationships.
2Area of stationary object
If multiple soil cores are collected to represent larger field areas, then measurement coverage increases, but the complexity and time of sample processing increases
Solution Approach 1:
The patent creates a universal measurement system that can assess soil nitrate levels across different field areas without requiring separate processing procedures for each sample. The electromagnetic sensing method provides a unified approach that works across varying soil conditions and field sizes, eliminating the need for multiple specialized sampling protocols.
Solution Approach 2:
The patent replaces the mechanical process of collecting and processing multiple physical soil cores with an electromagnetic field-based measurement system. This substitution eliminates the labor-intensive tasks of core collection, sample compositeing, and laboratory processing, while still providing comprehensive field coverage through spatially distributed measurements.
3Productivity
If rapid field testing methods are used, then measurement speed increases, but measurement precision and reliability decrease
Solution Approach 1:
The patent uses electrical impedance and permittivity as intermediary measurements that can be obtained rapidly in the field while maintaining a reliable relationship to nitrate levels. These electrical properties serve as proxies that preserve measurement accuracy while enabling fast, on-site assessment without laboratory processing delays.
Solution Approach 2:
The patent measures electrical parameters (impedance and permittivity) that change in response to variations in soil nitrate content. By monitoring these electrical property changes rather than directly measuring nitrate concentration, the system achieves both rapid measurement and maintained precision through established calibration relationships between electrical properties and nitrate levels.
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
Facilitates rapid, real-time determination of soil nutrient levels, improving crop management decisions and reducing environmental and economic impacts by optimizing fertilizer use and adapting to changing conditions.
Implementation Method 1
A plurality of electrical signals having different frequencies are transmitted through the medium and signal data corresponding to the electrical signals after having traveled through the medium is acquired. A complex impedance and a complex permittivity and/or a complex conductivity can be calculated for the medium.
Implementation Method 2
A plurality of electrical signals having different frequencies are transmitted through the medium and signal data corresponding to the electrical signals after having traveled through the medium is acquired. A complex impedance and a complex permittivity and/or a complex conductivity can be calculated for the medium.
Implementation Method 3
A level of one or more attributes of the medium can be determined from the characteristics using nonparametric Bayesian inference
Data Source
Figure 1
Figure 2A~2B
Figure 3A~3B
AI summary
A solution for evaluating a medium using electrical signals is described. A plurality of electrical signals having different frequencies are transmitted through the medium and signal data corresponding to the electrical signals after having traveled through the medium is acquired. A complex impedance and a complex permittivity and/or complex conductivity can be calculated for the medium. A set of characteristics of the medium can be computed using mixing models and/or known information of the medium. A level of one or more attributes of the medium can be determined from the characteristics using nonparametric Bayesian inference. One particular application is directed to determining a nitrate level of soil.