A primer on soil analysis using visible and near-infrared (vis-NIR) and mid-infrared (MIR) spectroscopy PDF Download
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Author: Ge, Y., Wadoux, A., Peng, Y. Publisher: Food & Agriculture Org. ISBN: 9251358982 Category : Technology & Engineering Languages : en Pages : 28
Book Description
“A primer on soil analysis using visible and near-infrared (vis-NIR) and mid-infrared (MIR) spectroscopy” is the first training material on the topic of soil spectroscopy for beginner levels, by the Global Soil Laboratory Network Initiative on Soil Spectroscopy (GLOSOLAN-Spec) of the Global Soil Partnership, FAO. This document provides an introduction to the use of soil spectroscopy for soil analysis and covers the basic and fundamental procedures for using this technology for soil analysis. The series “Soil spectroscopy training material” is part of the Global Soil Laboratory Network (GLOSOLAN) to strengthen the capacity of laboratories in soil analysis. It provides a series of training materials covering wide range of topics in soil vis-NIR and MIR spectroscopy. The overall objective is to develop national and regional soil spectral libraries with an estimation service, and to provide advisory services on appropriate instrumentation.
Author: Ge, Y., Wadoux, A., Peng, Y. Publisher: Food & Agriculture Org. ISBN: 9251358982 Category : Technology & Engineering Languages : en Pages : 28
Book Description
“A primer on soil analysis using visible and near-infrared (vis-NIR) and mid-infrared (MIR) spectroscopy” is the first training material on the topic of soil spectroscopy for beginner levels, by the Global Soil Laboratory Network Initiative on Soil Spectroscopy (GLOSOLAN-Spec) of the Global Soil Partnership, FAO. This document provides an introduction to the use of soil spectroscopy for soil analysis and covers the basic and fundamental procedures for using this technology for soil analysis. The series “Soil spectroscopy training material” is part of the Global Soil Laboratory Network (GLOSOLAN) to strengthen the capacity of laboratories in soil analysis. It provides a series of training materials covering wide range of topics in soil vis-NIR and MIR spectroscopy. The overall objective is to develop national and regional soil spectral libraries with an estimation service, and to provide advisory services on appropriate instrumentation.
Author: Katrina Margarette Wilke Publisher: ISBN: Category : Languages : en Pages :
Book Description
Visible and near infrared diffuse reflectance spectroscopy (VisNIR-DRS) is a method being investigated for quantifying soil properties and mapping soil profiles. Because a VisNIR-DRS system mounted in a soil penetrometer is now commercially available for scanning soil profiles in situ, methodologies for using scans to map soils and quantify soil properties are needed. The overall goal of this research is to investigate methodologies for collecting and analyzing VisNIR-DRS scans of intact soil profiles to identify soil series. Methodologies tested include scanning at variable versus uniform moistures, using individual versus averaged spectra, boosting an intact spectral library with local samples, and comparing quantitative and categorical classifications of soil series. Thirty-two soil cores from two fields, representing three soil series, were extracted and scanned every 2.5 cm from the soil surface to 1.5 m or to the depth of parent material at variable field moist conditions and at uniform moist condition. Laboratory analyses for clay, sand, and silt were performed on each horizon. Soil series were classified using partial least squares regression (PLS) and linear discriminant analysis (LDA). A Central Texas intact spectral library (n=70 intact cores) was used for PLS modeling, alone and boosted with the two fields. Because whole-field independent validation was used, relative percent difference (RPD) values were used to compare model performance. Wetting soils to uniform moisture prior to scanning improved prediction accuracy of total clay and RPD improved by 53 percent. Averaging side-by-side scans of the same soil profile improved prediction accuracy of RPD by 10 percent. When creating calibration models, boosting a library with local samples improved prediction accuracy of clay content by 80 and 34 percent for the two fields. Principal component plots provided insight on the spectral similarities between these datasets. Overall, using PLS alone performed the same as LDA at predicting soil series. Most importantly, results of this project reiterate the importance of fully-independent calibration and validation for assessing the true potential of VisNIR-DRS. Using VisNIR-DRS is an effective way for in situ characterization and classification of soil properties.
Author: Alexander H. Sheridan Publisher: ISBN: Category : Electronic Dissertations Languages : en Pages : 106
Book Description
Site-specific management of crop production systems holds promise for maintaining high yields while preserving soil quality. This management requires detailed spatial data on soil physical and chemical characteristics but traditional testing can be slow and expensive. Recently, sensor-based approaches including reflectance spectroscopy have been proposed as alternatives for quicker, easier soil analysis. The objectives of this study were to investigate the soil property estimation capabilities of reflectance sensing with a spectrometer and with a mobile two-band sensor. In the spectrometer evaluation using profile (to 1 m) samples collected from 32 plots with varying soil characteristics, several important soil quality properties were successfully estimated. Highest accuracy was for dried and ground soil samples which had an R2 of 0.97 and 0.91 for total carbon and nitrogen, respectively. Results with field-moist soil were nearly as accurate, showing that this may be a viable, and more efficient, option. The mobile two-band sensor was evaluated in two central Missouri production fields. It showed good accuracy (R2 = 0.75) for estimating soil organic carbon (SOC) with 20 in-field calibration points. However, this accuracy was not maintained when calibration equations were applied in full-field mapping. Laboratory data collection showed that a sensor with different wavelength bands might provide more accurate results, but this would need to be verified with a wider range of soils.
Author: Francisco García Sánchez Publisher: ISBN: Category : Science Languages : en Pages :
Book Description
This chapter provides a review on the state of art of the use of the visible near-infrared (vis-NIR) spectroscopy technique to determine mineral nutrients, organic compounds, and other physical and chemical characteristics in samples from agricultural systems-such as plant tissues, soils, fruits, cocomposted sewage sludge and wastes, cereals, and forage and silage. Currently, all this information is needed to be able to carry out the appropriate fertilization of crops, to handle agricultural soils, determine the organoleptic characteristics of fruit and vegetable products, discover the characteristics of the various substrates obtained in composting processes, and characterize byproducts from the industrial sector. All this needs a large number of samples that must be analyzed; this is a time-consuming work, leading to high economic costs and, obviously, having a negative environmental impact owing to the production of noxious chemicals during the analyses. Therefore, the development of a fast, environmentally friendly, and cheaper method of analysis like vis-NIR is highly desirable. Our intention here is to introduce the main fundamentals of infrared reflectance spectroscopy, and to show that procedures like calibration and validation of data from vis-NIR spectra must be performed, and describe the parameters most commonly measured in the agricultural sector.
Author: Sonam Rinchen Sherpa Publisher: ISBN: Category : Languages : en Pages : 112
Book Description
The future of global food security and economic stability continue to raise increasing concern, as the human population and thus demand for agricultural resources are rising at an alarming rate, while the frequency of extreme weather events leading to drought, flooding, and heat stress are projected to increase. Furthermore, the impacts of climate change on crop productivity and water availability are already apparent, and if current trends of increasing atmospheric CO2 levels and land degradation persist, the stability of whole food systems could be at risk. Building soil organic carbon (SOC) is essential for restoring degraded soils and enhancing soil health, as increasing SOC can reduce compaction, improve drainage and aeration, increase water holding and cation exchange capacity, and enhance nutrient cycling and fertility, thereby improving agronomic productivity and resource use efficiency in agroecosystems. Implementing soil management practices to build SOC can provide win-win opportunities for farmers and resource managers, resulting in improved soil health, increased fertilizer use efficiency, and increased resiliency to drought and heat stress, while serving to mitigate climate change by sequestering atmospheric carbon. However, the excessive sampling and analysis costs required to measure baseline levels and monitor changes in soil quality, currently limits our ability to establish effective policies for incentivizing sustainable soil management practices. Mid infrared (MIR) and visible and near infrared (VNIR) spectroscopy have been proposed as accurate and low cost options for predicting multiple soil quality indicators, and may be capable of meeting current needs of a low cost reliable method for quantifying soil quality and SOC. In this dissertation, I explore potential applications for MIR and VNIR spectroscopy by developing and testing low-cost, reliable measurement-based approaches for quantifying soil quality and SOC at farm-to-regional scales. Both VNIR and MIR spectroscopy successfully predicted SOC and other soil quality indicators with an acceptable level of accuracy often comparable to that of standard wet chemistry methods for soil assessment, yet measurement costs for both VNIR and MIR predictions was roughly an order of magnitude less than standard wet chemistry methods.
Author: Ge, Y., Wadoux, A., Peng, Y.
Author: Ge, Y., Wadoux, A., Peng, Y.
Author: Katrina Margarette Wilke
Author: Alexander H. Sheridan
Author: C.G Kusuma
Author: Francisco García Sánchez
Author: Maxwell B. Blanchard
Author: Thomas Terhoeven-Urselmans
Author: Sonam Rinchen Sherpa
Author: 
Author: Judith Irene Ball