Scanning mode application of neutron-induced gamma analysis for soil carbon mapping

Inventors

Chin, Bryan A.Torbert, III, Henry AllenYAKUBOVA, GALINA N.KAVETSKIY, ALEKSANDRSargsyan, Nikolay

Assignees

US Department of Agriculture USDA

Publication Number

US-11397277-B2

Publication Date

2022-07-26

Expiration Date

2039-12-06

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Abstract

A system for analyzing soil content of a field includes a data acquisition unit configured to detect gamma spectra of each of a plurality of soil samples, wherein a surface area of the field is divided into a plurality of portions and the plurality of soil samples comprises at least one soil sample from each of the plurality of portions, a navigation unit configured to detect geographic coordinates of each of the plurality of soil samples, a data analysis unit configured to associate the detected gamma spectra of each of the plurality of soil samples with the geographic coordinates of the soil sample and determine a weight percent of at least one element within each of the soil samples based on the detected gamma spectra, and an element content map unit configured to generate a map indicating concentration of the at least one element within the soil of the field.

Core Innovation

The invention provides a system and method for analyzing soil content of a field using neutron-induced gamma analysis. The system includes a data acquisition unit configured to detect gamma spectra from multiple soil samples taken from divided portions of the field. A navigation unit detects geographic coordinates of each soil sample, and a data analysis unit associates the gamma spectra with geographic positions to determine the weight percent of at least one element within each soil sample. Additionally, an element content map unit generates maps indicating concentrations of elements within the soil field.

The problem being solved arises from limitations in conventional soil elemental content analysis, where only tiny portions of the field are sampled and composited, often less than 0.01% of the field area, leading to high-level approximations of soil content. Current systems are not adaptable for analyzing numerous samples to enhance accuracy. Since accuracy of elemental content is crucial for agricultural and environmental purposes such as determining nutrient needs and carbon credits, there is a need for a methodology that yields more detailed and accurate elemental content information across a given field area.

The invention addresses this problem by dividing the field surface into portions and scanning at least one soil sample from each portion using neutron-induced gamma analysis, associating gamma spectral data with geographic coordinates, and calculating elemental concentrations to generate precise distribution maps. The system incorporates a neutron generator and gamma detectors, potentially on mobile platforms, combined with GPS to scan and map elemental distributions such as carbon, silicon, oxygen, hydrogen, and potassium with high accuracy and reproducibility.

Claims Coverage

The patent contains three independent claims which define systems and methods for analyzing elemental soil content by collecting gamma spectra correlated to geographic coordinates, calculating element weight percentages, and generating elemental distribution maps with specific features for spectral correction and data processing.

System for soil elemental analysis using gamma spectra and geographic positioning

A system including a gamma detector to collect gamma spectra from at least one soil sample, a geographic positioning device to receive corresponding geographic coordinates, and a processor configured to associate gamma spectra with geographic coordinates, calculate the weight percent of an element, generate a map indicating concentration based on the calculated weight percent, and correct the energy of the spectra using a predefined value determined via spectra-shifting and weight-percent calculator.

System calculating element weight percent based on detector lifetime averaging

A system with a gamma detector and geographic positioning device where the processor calculates the weight percent of the element within the soil sample based on a life time of a gamma spectrum averaged across multiple detectors, associates the calculated weight percent with a geographical midpoint between two neighboring records, and generates a map indicating concentration of the element.

Method for analyzing soil elemental content by dividing field, scanning, associating spectral data with location, calculating element amount, and mapping

A method comprising dividing the agricultural field into multiple portions, scanning at least one soil sample within each portion to detect gamma spectra, associating detected spectra with geographic location, calculating amounts of at least one element based on spectra, and generating maps indicating elemental amounts within each portion.

The independent claims cover systems and methods integrating gamma spectral detection with geographic data to accurately calculate soil elemental content and generate distribution maps. Key inventive features include spectral energy correction, use of averaged detector lifetimes for calculation, and data association with geographic midpoints to produce precise soil element concentration maps.

Stated Advantages

Provides detailed and accurate elemental content information across a field compared to traditional methods that analyze very limited soil samples.

Enables spatial mapping of element distribution within soil, enhancing insight into soil heterogeneity relevant for agricultural and environmental decision making.

Demonstrates reproducibility and consistency in scans and generated maps under stable conditions, supporting reliability of the analysis method.

Allows mobile implementations, such as ground carts or drones, to scan large field areas efficiently.

Uses neutron-induced gamma analysis combined with GPS data to provide real-time scanning and mapping capabilities.

Documented Applications

Mapping distribution of elements such as carbon, silicon, oxygen, hydrogen, and potassium within agricultural fields to evaluate soil suitability for agricultural use and nutrient availability.

Determining carbon credits by accurately quantifying soil carbon content distribution.

Assessing nutrient needs and potential profitability of fertilization programs based on detailed elemental content maps.

Soil moisture distribution mapping through hydrogen content analysis.

Use in fields with varied terrain and landscape features to generate localized soil elemental content maps for precision agriculture.

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