Soil Nutrient Detection via Reflected Light Analysis

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Solution Overview

Problem

Conventional methods for soil sampling and analysis are time-consuming and expensive, making them unsuitable for multi-seasonal monitoring of soil nutrients over large areas, particularly for detecting phosphorus levels which can lead to environmental contamination and inefficient fertilizer use.

Innovation Solution

The use of remote sensing technology to determine soil nutrients by measuring reflected light from bare soils using LANDSAT TM data, employing algorithms to correlate light reflectance ratios with elemental concentrations of phosphorus, copper, and sulfur, allowing for rapid and cost-effective mapping of soil contamination.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional soil sampling and analysis methods are used, then measurement precision of soil nutrients is achieved, but productivity is reduced due to time-consuming and expensive procedures

Engineering Contradiction:
Improvesoil nutrient detection accuracyVSAvoidmonitoring efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces conventional mechanical soil sampling and laboratory analysis with optical remote sensing technology. Sensors mounted on aircraft or satellites capture reflected light from soil surfaces, and spectral analysis algorithms process this data to determine nutrient concentrations. This substitution of mechanical sampling with optical detection achieves both high productivity through area-wide simultaneous measurement and adequate precision through spectral signature analysis.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The invention changes the measurement parameter from physical soil samples requiring laboratory analysis to optical reflectance properties measurable from aerial or satellite platforms. By analyzing spectral reflectance curves across multiple wavelength bands, the system derives nutrient information without physical contact with the soil, dramatically improving monitoring efficiency while maintaining detection capability.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If remote sensing is used to map soil contamination over large areas, then productivity is improved, but measurement precision may be reduced

Engineering Contradiction:
Improvearea coverage speedVSAvoidnutrient concentration accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent segments the broad spectral range into multiple discrete wavelength bands for targeted analysis. By measuring reflectance in specific spectral regions sensitive to different nutrient signatures, the system maintains precision for each nutrient type while covering large areas. The segmentation of spectral information allows simultaneous detection of multiple nutrients through multi-band imaging.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The remote sensing system performs multiple functions simultaneously: it maps various soil nutrients (phosphorus, sulfur, copper), monitors contamination levels, and provides spatial distribution data all through a single multi-spectral imaging operation. This multi-functionality achieves comprehensive soil assessment over large areas without sacrificing measurement capability for individual nutrients.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

This method provides accurate and efficient detection of soil nutrients, enabling timely monitoring and management of soil contamination, reducing environmental impact and optimizing fertilizer application.

Implementation Method 1

spectral reflectance to determine the soil color (Post et al., 2000), texture and particle size distribution (Chang et al., 2001), soil moisture (Lobell and Asner, 2002), iron oxides (Ji et al., 2002), carbonates (Ben-Dor and Banin, 1990), clay (Ben-Dor and Banin, 1995), organic carbon (Dalal and Henry, 1986; Morra et al., 1991; Reeves et al., 2002) organic matter (Henderson et al., 1992) and soil phosphorus (Bogrekci and Lee, 2005, 2007)

Methodology Applied
Scientific EffectLight reflection: Reflection

Data Source

PatentUS8367420B1Method and system for detecting sulfur in soil from reflected light
Publication Date: 2013.02.05 BOWLING GREEN STATE UNIV
  • US8367420B1 patent drawing
  • US8367420B1 patent drawing
  • US8367420B1 patent drawing

AI summary

The present invention relates to a method of detecting soil nutrients or soil nutrients in soil from reflected light, and also includes systems for the measurement, calculation and transmission of data relating to or carrying out that method.