Evaluation of soil fertility using infrared spectroscopy: a review

Du, Changwen; Zhang, Jianmin

doi:10.1007/s10311-008-0166-x

Cited by 99 publications

(63 citation statements)

References 99 publications

(111 reference statements)

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“…ATR is applied for the investigation of SOM (Artz, et al, 2008;Cecillon, et al, 2012;Delarue, et al, 2013;Gezic, et al, 2012;Li, et al, 2010;Neves-Fernandes, et al, 2010;Tremblay, et al, 2011;Vergnoux, et al, 2011) or when ions, like nitrate, ammonium etc., are assayed in soil (Du and Zhou, 2009;Jahn, et al, 2006). This technique ensures a direct analysis of undiluted opaque samples in a highly reproducible way (Tremblay, et al, 2011), permitting band intensities to remain within a linear range.…”

Section: Attenuated Total Reflectance (Atr)mentioning

confidence: 99%

“…The critical point is how to identify single functional group vibrations or the presence of well defined molecular structures. Normalization, baseline correction and smoothing are the first steps to process a spectrum (Demyan, et al, 2012;Du and Zhou, 2009;FernandezGetino, et al, 2013;Ludwig, et al, 2008;Tatzber, et al, 2010;Vegnoux, et al, 2011).…”

Section: Data Processingmentioning

confidence: 99%

“…Grube, et al (2006), used some band intensity ratios (2925/1034 cm -1 , 1384/2925 and 1034/1384) to follow SOM changes in composts over a short term (40 days). Artz, et al (2008);Barie, et al (2012);Bornemann, et al (2010); Du and Zhou (2009);Ferrari, et al (2011);Tatzber, et al (2010);Vergnoux, et al (2011).…”

Section: Soil Organic Matter Characterizationmentioning

confidence: 99%

“…The newest concept attributed to HS is an association of molecular structures (100-2000 Da) with macromolecular characteristics resulting from aggregates formed by hydrogen bonding, nonpolar interactions, and polyvalent cation interactions (Piccolo, et al, 2002;Simpson et al, 2002). FTIR spectroscopy has been extensively used in the study of the composition, structure and functionalities of HS isolated from different ecosystems (Aguiar, et al, 2013;Baigorri, et al, 2009;D'Orazio and Senesi, 2009;Du and Zhou, 2009;Ferrari, et al, 2011;Francioso, et al, 2009;Senesi, et al, 2003;Stevenson, 1994;Tatzber, et al, 2008;Zhang, et al, 2011). Typical IR absorption of HS shows: a broad band at 3100-3600 cm -1 (H-bonded OH and NH groups), a slight shoulder at 3000-3100 cm -1 (aromatic C-H stretching), a band at 2800-3000 cm -1 (aliphatic C-H stretching), a broad band at 2600 cm -1 (hydrogen-bonded OH stretching of carboxyl and phenolic OH), a shoulder or a peak at 1725-1710 cm -1 (C=O stretching of COOH and ketones), a strong band at 1660-1630 cm -1 (C=O stretching of amide I, quinone and ketones), a band at 1630-1600 cm -1 (aromatic C=C stretching, -COO -asymmetric stretching), an absorption at 1540-1510 cm -1 (amide II, aromatic C=C stretching), a peak or a shoulder at 1490-1440 cm -1 (CH deformation of CH 2 and CH 3 , -COOsymmetric stretching), a band at 1450-1380 cm -1 (aliphatic CH deformation, -COOsymmetric stretching, OH deformation), a band at 1300-1200 cm -1 (C-O stretching of phenols and ethers, C-OH deformation) and a band at 1170-1030 cm -1 (C-O stretching of polysaccharide, C-O-C stretching in ethers, C-O of polyalcohol).…”

Section: Humic Substances Characterizationmentioning

confidence: 99%

“…In this way, MIR can be used as a quantitative technique, assuming that the dipole moment-related "response factor" is taken into account (Griffiths and De Haseth, 2007). MIR spectroscopy has frequently been applied to investigate soil properties and soil organic matter (SOM) characteristics (Aguiar, et al, 2013;Bellon-Maurel and McBratney, 2011;Calderon, et al, 2011aCalderon, et al, , 2011bDemyan, et al, 2012;Du and Zhou, 2009;Francioso, et al, 2009;Haberhauer and Gerzabek, 1999;Kaiser, et al, 2011). Currently, the combination of multivariate statistical methods used for the Fourier Transform IR (FTIR) spectra analysis has provided a powerful method for the discrimination and identification and/or quantification of single components in soils (Aguiar, et al, 2013;Bellon-Maurel and McBratney, 2011;Bornemann, et al, 2010;Calderon, et al, 2011aCalderon, et al, , 2011bD'Acqui, et al, 2010;Fernandez-Getino, et al, 2013;Janik, et al, 2007aJanik, et al, , 2007bLudwig, et al, 2008;Minasny, et al, 2008;Pirie, et al, 2005;Reeves III, 2010;Stumpe, et al, 2011;Tatzber, et al, 2010;Viscarra Rossel, et al, 2006;Yang, et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Recent applications of vibrational mid-Infrared (IR) spectroscopy for studying soil components: a review

Tinti¹,

Tugnoli²,

Bonora³

et al. 2015

j. cent. eur. agric.

185

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The present review highlights the recent applications of mid-infrared spectroscopy and in particular of diffuse reflectance spectroscopy (DRIFT) and attenuated total reflectance (ATR) and processing methods (e.g., deconvolution, derivative and chemometrics) to rapidly provide valuable information on soil composition and organic geochemistry. Research has demonstrated that both DRIFT and ATR techniques can be considered useful tools for the analysis of a large number of soil samples, giving not only typical spectral patterns but permitting an accurate prediction of quantitative parameters such as, e.g., total carbon, total nitrogen, C/N ratio, lignin, dissolved OC, carbonyl-C, aromatic-C, O-alkyl-C, and alkyl-C contents. Based on literature results, infrared spectroscopy can be recognized as one of the most promising analytical techniques for investigating soil science.

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Section: Attenuated Total Reflectance (Atr)mentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

Section: Soil Organic Matter Characterizationmentioning

confidence: 99%

Section: Humic Substances Characterizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Recent applications of vibrational mid-Infrared (IR) spectroscopy for studying soil components: a review

Tinti¹,

Tugnoli²,

Bonora³

et al. 2015

j. cent. eur. agric.

185

View full text Add to dashboard Cite

show abstract

Genetic algorithm‐based wavelength selection method for spectral calibration

Arakawa

Yuya

Funatsu

2010

Journal of Chemometrics

134

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In this paper, we propose a genetic algorithm-based wavelength selection (GAWLS) method for visible and near-infrared (Vis/NIR) spectral calibration. The objective of GAWLS is to construct robust and predictive regression models by selecting informative wavelength regions. To demonstrate the ability of the proposed method, regression models for soil properties and sugar content of apples are constructed by using GAWLS and other variable selection methods.

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The role of precision agriculture for improved nutrient management on farms

Hedley

2014

J. Sci. Food Agric.

140

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Precision agriculture uses proximal and remote sensor surveys to delineate and monitor within-field variations in soil and crop attributes, guiding variable rate control of inputs, so that in-season management can be responsive, e.g. matching strategic nitrogen fertiliser application to site-specific field conditions. It has the potential to improve production and nutrient use efficiency, ensuring that nutrients do not leach from or accumulate in excessive concentrations in parts of the field, which creates environmental problems. The discipline emerged in the 1980s with the advent of affordable geographic positioning systems (GPS), and has further developed with access to an array of affordable soil and crop sensors, improved computer power and software, and equipment with precision application control, e.g. variable rate fertiliser and irrigation systems. Precision agriculture focusses on improving nutrient use efficiency at the appropriate scale requiring (1) appropriate decision support systems (e.g. digital prescription maps), and (2) equipment capable of varying application at these different scales, e.g. the footprint of a one-irrigation sprinkler or a fertiliser top-dressing aircraft. This article reviews the rapid development of this discipline, and uses New Zealand as a case study example, as it is a country where agriculture drives economic growth. Here, the high yield potentials on often young, variable soils provide opportunities for effective financial return from investment in these new technologies.

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Evaluation of soil fertility using infrared spectroscopy: a review

Abstract: Soil

Cited by 99 publications

References 99 publications

Recent applications of vibrational mid-Infrared (IR) spectroscopy for studying soil components: a review

Recent applications of vibrational mid-Infrared (IR) spectroscopy for studying soil components: a review

Genetic algorithm‐based wavelength selection method for spectral calibration

The role of precision agriculture for improved nutrient management on farms

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