Analysis of soil organic matter in tropical soils with near-infrared spectroscopy (NIRS) and chemometrics

Jarquín-Sánchez, Aarón; Salgado-García, Sergio; Palma-López, David Jesús; Camacho-Chiu, Wilder

doi:10.4067/s0718-16202012000200015

Cited by 4 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The concentrations of Ca found in this study were lower than those found by Cardenas et al (2013) in three different soil series (including Andisols and Ultisols) in southern Chile. Mg concentration was similar in both soil types but lower than the values reported by Debaene et al (2010), Jarquín-Sánchez et al (2012), and Cardenas et al (2013) for Polish, Mexican, and volcanic Chilean ash soils, respectively. This difference is probably explained by the fact that the data of the present study correspond to fertilized and non-fertilized soils, while the studies mentioned before included Mg fertilizer application.…”

Section: Chemical Soil Characterizationsupporting

confidence: 45%

Chemical Characterization of Volcanic Soils Using Near Infrared Spectroscopy (Nirs)

Ortega¹,

Valenzuela²,

Lagos³

et al. 2021

Chil. j. agric. anim. sci.

View full text Add to dashboard Cite

La cuantificación de la concentración de nutrientes en los suelos es importante para la implementación de estrategias de fertilización adecuadas y mejorar la productividad agrícola. En las últimas décadas se han desarrollado nuevos métodos instrumentales, tales como el uso de la espectroscopía de infrarrojo cercano (NIRS). Aunque su potencial ha sido reconocido por los científicos del suelo durante algunas décadas, el uso de NIRS para el análisis de rutina del suelo, según nuestro conocimiento, está poco desarrollado en Chile. Los modelos de calibración se desarrollaron utilizando la regresión de mínimos cuadrados parciales (PLSR). El objetivo de este estudio fue evaluar el uso de NIRS para la determinación de la concentración de calcio, magnesio, fósforo, potasio, pH (agua), materia orgánica, sodio, aluminio intercambiable, amonio y nitrato en suelos volcánicos del sur de Chile. El coeficiente de determinación en la calibración obtenida fluctuó entre 0,79-0,95 y 0,79-0,89, en Andisoles y Ultisoles, respectivamente; los valores de la desviación de predicción residual (RPD) variaron entre 2,1-4,4 y 2,2-3,1, en Andisoles y Ultisoles, respectivamente; y no fue posible generar modelos de calibración robustos para Al Exch, Na y NH 4 + en Andisoles y Al Exch, Mg, NO 3 y Na en Ultisoles. Aunque algunos de los modelos desarrollados presentaron elevados R 2 , esta metodología requiere una validación adicional que incluya un mayor número de muestras, una distribución espacial más amplia que cubra una variedad de condiciones climáticas y agrícolas.

show abstract

Section: Chemical Soil Characterizationsupporting

confidence: 45%

Chemical Characterization of Volcanic Soils Using Near Infrared Spectroscopy (Nirs)

Ortega¹,

Valenzuela²,

Lagos³

et al. 2021

Chil. j. agric. anim. sci.

View full text Add to dashboard Cite

show abstract

“…Due to the broad and overlapping bands, VIS-NIR spectra contained fewer absorption than the SWIR range, which can be more difficult to interpret [43]. According to the literature, these wavelengths are where the concentrations of elements in the soil are located [44]. In the same way as [45], the spectra showed absorption bands at wavelengths between 1400 and 2500 nm, related to the chemical bonds of the soil elements.…”

Section: Spectral Signatures and Main Variablesmentioning

confidence: 99%

Evaluation of Spectroscopy and Methodological Pre-Treatments to Estimate Soil Nutrients in the Vineyard

et al. 2022

View full text Add to dashboard Cite

The characterization of vineyard soil is a key issue for crop management, which directly affects the quality and yield of grapes. However, traditional laboratory analysis of soil properties is tedious and both time and cost consuming, which is not suitable for precision viticulture. For this reason, a fast and convenient soil characterization technique is needed for soil quality assessment and precision soil management. Here, spectroscopy appears as a suitable alternative to assist laboratory analysis. This work focuses on estimating soil properties by spectroscopy. Our study was carried out using 96 soil samples collected from three vineyards in Rias Baixas Designation of Origen (Galicia, Spain). The soils that were characterized include nitrogen (N), organic matter (OM) and clay content (Clay). The presented work compared two regression techniques (partial least squares (PLSR) and random forest (RF)) and four spectral ranges: visible—VIS (350–700 nm), near infrared—NIR (701–1000 nm), short wave infrared—SWIR (1001–2500 nm) and VIS-NIR-SWIR (350–2500 nm) in order to identify the more suitable prediction models. Moreover, the effect of pre-treatments in reflectance data (smoothing Svitzky–Golay, SG, baseline normalization, BN, first derivative, FD, standard normal variate, SNV, logarithm of 1/reflectance or spectroscopy (SP) and detrending, SNV-D) was evaluated. Finally, continuous maps of the soil properties were created based on estimated values of regression models. Our results identified PLSR as the best regression technique, with less computation time than RF. The data improved after applying transformation in reflectance data, with the best results from spectroscopy pre-treatment (logarithm of 1/Reflectance). PLSR performances have obtained determination coefficients (R2) of 0.69, 0.73 and 0.52 for nitrogen, organic matter, and clay, respectively, with acceptable accuracy (RMSE: 0.03, 1.06 and 2.90 %) in a short time. Furthermore, the mapping of soil vineyards generates information of high interest for the precision viticulture management, as well as a comparison between the methodologies used.

show abstract

“…Moreover, the VIS-NIR method has great potential for simultaneous estimation of a variety of soil properties including, e.g., cation exchange capacity, pH, exchangeable bases, extractable phosphorus, soil texture [ 29 , 30 ], or presence of polycyclic aromatic hydrocarbons [ 31 ]. However, most of the studies focused mainly on total SOC concentration [ 28 , 32 , 33 , 34 ].…”

Section: Introductionmentioning

confidence: 99%

Diffuse Reflectance Spectroscopy for Black Carbon Screening of Agricultural Soils under Industrial Anthropopressure

et al. 2022

View full text Add to dashboard Cite

Visible and near-infrared spectroscopy (VIS-NIRS) is a fast and simple method increasingly used in soil science. This study aimed to investigate VIS-NIRS applicability to predict soil black carbon (BC) content and the method’s suitability for rapid BC-level screening. Forty-three soil samples were collected in an agricultural area remaining under strong industrial impact. Soil texture, pH, total nitrogen (Ntot) and total carbon (Ctot), soil organic carbon (SOC), soil organic matter (SOM), and BC were analyzed. Samples were divided into three classes according to BC content (low, medium, and high BC content) and scanned in the 350–2500 nm range. A support vector machine (SVM) was used to develop prediction models of soil properties. Partial least-square with SVM (PLS-SVM) was used to classify samples for screening purposes. Prediction models of soil properties were at best satisfactory (Ntot: R2 = 0.76, RMSECV = 0.59 g kg−1, RPIQ = 0.65), due to large kurtosis and data skewness. The RMSECV were large (16.86 g kg−1 for SOC), presumably due to the limited number of samples available and the wide data spread. Given our results, the VIS-NIRS method seems efficient for classifying soil samples from an industrialized area according to BC content level (training accuracy of 77% and validation accuracy of 81%).

show abstract

Analysis of soil organic matter in tropical soils with near-infrared spectroscopy (NIRS) and chemometrics

Cited by 4 publications

References 7 publications

Chemical Characterization of Volcanic Soils Using Near Infrared Spectroscopy (Nirs)

Chemical Characterization of Volcanic Soils Using Near Infrared Spectroscopy (Nirs)

Evaluation of Spectroscopy and Methodological Pre-Treatments to Estimate Soil Nutrients in the Vineyard

Diffuse Reflectance Spectroscopy for Black Carbon Screening of Agricultural Soils under Industrial Anthropopressure

Contact Info

Product

Resources

About