Soil testing spectrometers use light or X-ray interactions to rapidly analyze soil properties, providing chemical, physical, and elemental data for agriculture and environmental monitoring.Overview of...
Soil spectrometers are instruments that measure how soil interacts with light or X-rays to determine its composition. Near-infrared (NIR) and mid-infrared (MIR) spectrometers analyze molecular vibrations in soil constituents, producing a spectral signature that reflects properties like moisture, organic matter, clay content, pH, and nutrient levels . X-ray fluorescence (XRF) spectrometers detect elemental composition, including heavy metals and trace elements, without destroying the sample . These technologies allow rapid, non-destructive testing compared to traditional chemical methods.
Highlights • A method for rapid and accurate detection of soil organic matter content. • The method is based on visible
Precision agriculture (PA) strongly relies on spatially differentiated sensor information. Handheld instruments based on
Soil contamination by heavy metals and organic pollutants presents significant challenges to the global environment
This document is an introduction to the use of soil spectroscopy for soil analysis; it enables readers to understand the fundamental
In-field soil spectroscopy represents a promising opportunity for fast soil analysis, allowing the prediction of several
At its core, soil spectroscopy is about analysing how light interacts with soil. This technique
Mass spectrometry is an ideal analytical tool for detecting, identifying and quantifying organic compounds
Infrared spectroscopy can usually detect constituents or elements in the soil when the elements are present in amounts
Soil spectroscopy that combines spectroscopic analysis and machine learning tools is an important tool for analyzing
The main aim of this paper is to describe the state of the art of soil spectroscopy as well as its potential to facilitating soil monitoring.
In-situ infrared soil spectroscopy is prone to the effects of ambient factors, such as moisture, shadows, or roughness,
Finding the best methods of soil analysis optimizes agriculture production and environmental
Herein, multiple soil parameters were predicted using the spectral data obtained from inductively coupled plasma
The objective of this study is to explore the potential of transfer learning for soil spectroscopy and its performance on
The various spectroscopic techniques such as NIRS, VNIR, and XRF and their use in soil quality monitoring. The
Spectral analysis provides the quantifiable data necessary to ensure quality soil content for site-specific crop
Article Open access Published: 03 July 2024 Scalable solution for agricultural soil organic carbon measurements using
We demonstrate portable shifted excitation Raman difference spectroscopy (SERDS) for on-site soil analysis on an
Reflectance spectroscopy for soil property prediction is a non-invasive, fast, and cost-effective alternative to the
This technique opens up new possibilities for its application in SSNM, monitoring soil quality in landscapes and digital soil mapping.
To overcome the major issue of strong fluorescence interference inherent to soil, we applied shifted excitation Raman difference
Therefore, this review focuses on the use of Vis-NIR spectroscopy for evaluating soil properties including soil water
Rapid acquisition of soil nutrient information is of great significance for precision agriculture, and sample moisture
Monitoring soil and crop condition is vital for the sustainable management of agricultural systems. Often, land
Soil spectroscopy has shown to be a fast, cost-effective, environmental-friendly, nondestructive, reproducible, and repeatable
A study on the ability of hyperspectral VIS–NIR spectroscopy combined with either PLS regression or support vector
In this work, data fusion strategies for laser-induced breakdown spectroscopy (LIBS) and attenuated total reflectance
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