Soil Core Analysis System Using Optical and Gamma-Ray Sensing
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Solution Overview
Problem
Current soil measurement methods are inconvenient, costly, and often imprecise, particularly when measuring soil properties at depth, which hinders understanding of soil composition, functions, diversity, and distributions essential for addressing environmental concerns like food production, water security, land degradation, and climate change.
Innovation Solution
A soil condition analysis system that includes a support platform for elongate soil cores, equipped with soil sensing components like cameras, optical spectrometers, and gamma ray attenuation components, along with data acquisition and processing components to measure and process soil properties as a function of depth, using spectroscopic models and machine learning to derive accurate soil property data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional laboratory techniques are used to measure soil properties, then measurement precision may be maintained, but the method becomes inconvenient and costly
Solution Approach 1:
The patent replaces traditional mechanical laboratory techniques with optical sensing systems (spectrometers, cameras) and gamma-ray attenuation components. These optical and radiometric systems enable non-contact, in-situ measurement of soil properties, eliminating the need for physical sample collection and laboratory analysis while maintaining measurement precision through spectroscopic models and machine learning algorithms.
Solution Approach 2:
The patent introduces spectroscopic models and machine learning algorithms as intermediaries between the raw optical/gamma-ray measurements and the derived soil properties. These computational models translate the measured spectral signatures and attenuation data into accurate estimates of soil organic carbon, bulk density, water content, and other properties, bridging the gap between simple field measurements and precise soil characterization.
2Ease of operation
If soil measurement methods are simplified to improve convenience, then ease of operation improves, but measurement precision deteriorates
Solution Approach 1:
The patent measures multiple spectral parameters across different wavelengths (visible, near-infrared, shortwave infrared) and combines them with gamma-ray attenuation data. By analyzing changes in these spectral parameters and using multivariate analysis techniques, the system extracts detailed soil property information from simple non-contact measurements, maintaining precision while improving ease of operation.
3Measurement precision
If existing methods are used to measure soil properties at depth, then measurement capability is limited, but the cost and inconvenience increase
Solution Approach 1:
The patent segments the soil profile into multiple depth layers by analyzing variations in gamma-ray attenuation and spectral signatures at different depths within the soil core. The system processes measurements at incremental depth intervals, generating continuous depth profiles of soil properties without requiring complex deep-borehole instrumentation.
4Productivity
If traditional soil measurement methods are used, then equipment simplicity is maintained, but productivity decreases due to time-consuming processes
Solution Approach 1:
The patent implements continuous scanning and measurement along the soil core length using linear stages that move the sensing components smoothly through the sample. The system continuously acquires spectral and gamma-ray data at multiple positions, enabling rapid comprehensive analysis of entire soil cores without repeated setup or intervention, significantly improving productivity despite the added complexity of automated positioning systems.
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
Enables precise and efficient measurement of soil properties such as organic carbon, bulk density, and water content across depth, providing detailed soil condition analysis, reducing the limitations of existing methods and improving understanding of soil health and environmental management.
Implementation Method 1
a gamma ray attenuation component to measure attenuation of gamma-rays transmitted through the soil core
Implementation Method 2
an optical spectrometer to measure light from the soil core at near-infrared and/or mid-infrared wavelengths
Data Source
AI summary
A soil condition analysis system, including: a support platform to support an elongate soil core extracted from the Earth; a plurality of soil sensing components configured to measure corresponding characteristics of a soil core supported on the support platform; one or more data acquisition components in communication with the soil sensing components and configured to generate measurement data representing the measured characteristics from the soil sensing components; wherein at least one of the support platform and the plurality of soil sensing components is mounted on a computer-controlled translation stage to enable the soil sensing components to automatically measure the corresponding characteristics of the soil core at mutually spaced locations along a longitudinal axis of the elongate soil core. The system includes a data processing and data analytics component configured to process the measurement data to generate soil property data representing corresponding soil properties of the elongate soil core as a function of depth, based on mathematical and statistical methods.