Espectroscopia de reflectancia difusa por infrarrojo cercano (NIR) para la Comparison of ultraviolet, visible, and near infrared sensing for soil phosphorus. . The spectrum-based learner: A new local approach for modeling soil vis-NIR. El uso de las espectroscopía de reflectancia difusa y de técnicas estadísticas and, in most of the cases, over-lapping and masking VIS-NIR spectral responses. studies have also been carried out on the ultraviolet band (UV) (Bogrekci and. em plantas por espectroscopia de reflectância difusa no infravermelho próximo . UV-VIS-NIR Varian, modelo Cary-5G, do Instituto de Química da UNICAMP.

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The characterization of soil properties through laboratory analysis is an essential part of the diagnosis of the potential use of lands and their fertility.

Conventional chemical analyzes are expensive and time consuming, hampering the adoption of crop management technologies, such as precision agriculture. In the A and B horizons, 1, samples were collected in order to determine the total carbon TC and dfiusa TN contents, obtain the NIR spectral curve, and build models using partial least squares regression.

The use of diffuse reflectance spectroscopy and statistical techniques allowed for the quantification of the TC with adequate models of prediction based on a small number of samples, an residual prediction deviation RPD greater than 2.

For TN, models with a good level of prediction were not obtained. The results based on the NIR models were able to be integrated directly into the geostatistical evaluations, obtaining similar digital maps from the observed and predicted TC. The use of pedometric techniques showed promising results for these soils and constitutes a basis for the development of this area of research on soil science in Colombia.


Comparison of ultraviolet, visible, and near infrared sensing for soil phosphorus.


Near-infrared reflectance spectroscopy-principal components regression analysis of soil properties. Effect of agricultural intervention on difuas spatial variability of some soils chemical properties in the eastern plains of Colombia.

Field-scale variability of soil properties in Central Iowa Soils. Van Raij, and M.

Espectroscopia de reflectancia difusa uv-vis pdf download

Variability of soil analysis in commercial laboratories: Universidad Jorge Tadeo Lozano, Bogota. Potential of near-infrared reflectance spectroscopy and chemometrics to predict soil organic carbon fractions. Spatial variability of an Alfisol cultivated with sugarcane.

Identification of agronomic management units based on physical attributes of soil. Geoderma Bragantia 71 3 A simplified analytical procedure for soil particle-size analysis by gamma-ray attenuation.

Bragantia 71 1 Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database. Geostatistical tools for characterizing the spatial variability of microbiological and physico-chemical soil properties.

Soils 27 4 Visible and near infrared spectra of minerals and rocks. Using a mobile real-time soil visible-near infrared sensor for high resolution soil property mapping. Soil total carbon analysis in Hawaiian soils with visible, near-infrared and mid-infrared diffuse reflectance spectroscopy.

A conditioned latin hypercube method for sampling in the presence of ancillary information. Regional transferability of mid-infrared diffuse reflectance spectroscopic prediction for soil chemical properties. Effect of grain size on remotely sensed spectral reflectance of sandy desert surfaces. Disc harrowing intensity and its impact on soil properties and plant growth of agropastoral systems in the Llanos of Colombia.


Soil water retention curve determined by gamma-ray beam attenuation. The application of information technology to crop production. A new local approach for modeling soil vis-NIR spectra of complex datasets. Near- versus mid-infrared diffuse reflectance spectroscopy for soil analysis emphasizing carbon and laboratory versus on-site analysis: Where are we and what needs to be done?

Potential for onsite and online analysis of pig manure using visible and near infrared reflectance spectroscopy. Infrared spectroscopy – enabling an evidence based diagnostic surveillance approach to agricultural and environmental management in developing countries.

Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya: An application of classification and esspectroscopia tree analysis. Software for chemometric analysis of spectroscopic data.

Syst, 90 1 Digitally mapping the information contente of visible-near infrared spectra of surficial Australian soils. Geostatistics for environmental scientists. Applied Spectroscopy Reviews50 10p. Multi-element analysis of heavy metal content in soils using laser-induced breakdown spectroscopy: A case study in eastern China.

Spectrochimica Acta Part B: Atomic Spectroscopy, p. Design and evaluation of a cloud-based ultra-portable NIRS system for sweet cherry quality detection. Computers and Electronics in Agriculture, p. Journal of Imaging3 1p. Creado a partir de la obra en http: Camacho-Tamayo, Yolanda Rubiano S. Statistics for spatial data. NIR News 13 6 ,