Potential of Spectroradiometry to Classify Soil Clay Content

Dotto, André Carnieletto; Dalmolin, Ricardo Simão Diniz; Caten, Alexandre ten; Moura-Bueno, Jean Michel

doi:10.1590/18069657rbcs20151105

Cited by 7 publications

(10 citation statements)

References 19 publications

(19 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Lower values cause a reduction in crop productivity. Reichert, Suzuki, and Reinert (2007) also state that the critical values of macroporosity for plant growth are established, being close to 10%. According to Gubiani (2012), however, these values are not yet fixed, as in soils managed under no-till systems and with excellent drainage, critical macroporosity values may be even lower.…”

Section: Resultsmentioning

confidence: 85%

“…This conclusion corroborates the results found by Andrade and Stone (2009), in which the authors report that a soil is required to have at least 50% total porosity to perform its functions in soil physics. According to Secco (2005), total porosity presents an inverse relationship with compaction and a direct relationship with penetration resistance.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Nitrogen Fertilization on a Soybean Crop Grown on Black Oat and Forage Pea Straw in a Clayey Latosol in Western Paraná

Silveira¹,

Secco²,

Júnior³

et al. 2019

JAS

View full text Add to dashboard Cite

The beneficial effects to the soil, when using cover crops, are numerous, such as nutrient cycling, nitrogen fixation, breaking of the cycle of pests and diseases, soil structuring and addition of dry matter. This makes the subsequent crop better able to express its productive potential. The nitrogen is a key element for any plant, especially in the early stages of crop development. In this way, the purpose of this study work was to evaluate the effect of nitrogen doses on the grain yield of soybeans grown on black oat and forage pea straw in a clayey Latosol in the western region of Paraná, Brazil. The experiment was conducted in the experimental area of the Agronomic Institute of Paraná (IAPAR), in the regional hub of Santa Tereza do Oeste. The local soil is classified as a typical Dystrophic Red Latosol. The experimental design consisted of a randomized complete block design with five replicates. The treatments consisted of nitrogen doses of 0, 25, 50, 75 and 100 kg ha-1 applied in a broadcasting cover, without incorporation, using urea as a nitrogen source, at 20 days after emergence when the plants were in stage V3. The soil physical attributes were bulk density, total porosity, microporosity, and macroporosity. In the soybean crop, the production components evaluated were: plant height, 100-grain weight, and grain yield of grains. The data were submitted to analysis of variance, in which, for the quantitative factors, a regression analysis was performed and, for the qualitative characteristics, the Tukey test (p < 0.05) was performed. The mineral addition of nitrogen did not lead to an increase in grain yield of the cultivated soybean on the species of oat or forage pea cover. Thus, it can be stated that in well-structured clayey Latosols with high fertility, the nitrogen present in the soil organic matter and what was fixed symbiotically is sufficient to supply the nitrogen demand for the soybean crop.

show abstract

Section: Resultsmentioning

confidence: 85%

Section: Resultsmentioning

confidence: 99%

Nitrogen Fertilization on a Soybean Crop Grown on Black Oat and Forage Pea Straw in a Clayey Latosol in Western Paraná

Silveira¹,

Secco²,

Júnior³

et al. 2019

JAS

View full text Add to dashboard Cite

show abstract

“…In addition, spectroscopy in the visible (Vis: 400-700 nm), near infrared (NIR: 701-1100 nm), and short-wave infrared (SWIR: 1101-2500 nm) regions of the electromagnetic spectrum associated with chemometric methods has allowed the quantification of physical, chemical, and mineralogical soil properties (Viscarra Rossel and Behrens, 2010). This technique has become a well-established method to assess soil properties rapidly and accurately in the laboratory (Ben Dor et al, 2015), with the possibility of predicting several properties in just one spectral reading, facilitating data acquisition from large amounts of samples, and without the use of environmentally hazardous chemicals (Dotto et al, 2016(Dotto et al, , 2018Demattê et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

AlradSpectra: a Quantification Tool for Soil Properties Using Spectroscopic Data in R

Dotto

Dalmolin

Caten

et al. 2019

Rev. Bras. Ciênc. Solo

Self Cite

View full text Add to dashboard Cite

Soil reflectance spectroscopy has become an innovative method for soil property quantification supplying data for studies in soil fertility, soil classification, digital soil mapping, while reducing laboratory time and applying a clean technology. This paper describes the implementation of a Graphical User Interface (GUI) using R named AlradSpectra. It contains several tools to process spectroscopic data and generate models to predict soil properties. The GUI was developed to accomplish tasks such as perform a large range of spectral preprocessing techniques, implement several multivariate calibration methods, generate statistics assessment and graphical output, validate the models using independent dataset, and predict unknown variables using soil spectral data. AlradSpectra has four main modules: Import Data, Spectral Preprocessing, Modeling, and Prediction. The implementation of AlradSpectra is demonstrated by applying visible near-infrared reflectance spectroscopy for soil organic carbon (SOC) prediction. The data contains the value of SOC and Vis-NIR reflectance for 595 soil samples. The prediction statistic assessment of SOC was performed applying all spectral preprocessing and methods. The R 2 considering all models ranged from 0.54 to 0.80. In the partial least squares regression (PLSR) models, the performances were similar to multiple linear regression (MLR) and support vector machines (SVM). The lowest error in the SOC prediction was achieved by PLSR method with standard normal variate (SNV) preprocessing reaching an R 2 of 0.80, the smallest root mean square error (RMSE) of 0.47 %, and ratio of performance to inter-quartile distance (RPIQ) of 3.12. The capacity of performing multiple tasks, being free and open-source, easy to operate, and requiring no initial knowledge of R programming language are features that make AlradSpectra a useful tool to perform different modeling approaches and predict the desired soil variable.

show abstract

“…A matéria orgânica do solo desempenha um papel de grande importância nos solos tropicais e subtropicais, pois influencia nas propriedades físicas, químicas, biológicas e mineralógicas, sendo essencial à capacidade produtiva dos solos. Concomitantemente, a presença de matéria orgânica apresenta forte relação com a resposta espectral do solo (DALMOLIN, 2002;BEN-DOR et al, 2002;DOTTO et al, 2016;MOHAMED et al, 2018).…”

Section: Introductionunclassified

“…Técnicas de sensoriamento remoto, como a espectrorradiometria, vêm ganhando espaço no estudo de solos. Diversos estudos desenvolvidos em diferentes classes de solos (DALMOLIN, et al, 2005;ARAÚJO et al, 2013;DEMATTÊ et al, 2014;DOTTO et al, 2016;SANTOS et al, 2018) demonstram a capacidade de predizer características físicas, químicas e mineralógicas do solo por meio da sua resposta espectral, de maneira rápida e não destrutiva desse corpo natural que é responsável pela segurança alimentar e ambiental.…”

Section: Introductionunclassified

Utilização Da Espectrorradiometria Na Caracterização Do Teor De Matéria Orgânica Presente No Solo

Carneiro¹,

Jesus²,

Santos³

et al. 2019

Revista GESTA

View full text Add to dashboard Cite

ResumoO comportamento espectral do solo é condicionado por todos os elementos que o constituem. A matéria orgânica atua de forma peculiar no solo, influenciando diretamente em suas propriedades físicas, químicas, biológicas, mineralógicas; portanto, apresenta forte relação com a sua resposta espectral. Neste sentido, o objetivo do trabalho foi demonstrar o potencial da espectrorradiometria na caracterização da matéria orgânica de solos, confrontando a variável reflectância espectral com a quantificação da matéria orgânica de amostras de solo coletadas no Centro de Agroecologia Rio Seco -UEFS, aplicando também a técnica da remoção do contínuo, sobre os dados de reflectância, como técnicas de extração de informações de dados hiperespectrais. A espectrorradiometria apresentou-se como uma técnica eficaz, rápida e não destrutiva, fornecendo dados significativos para caracterização de amostras de solo. O processamento dos espectros originais com a técnica de remoção do contínuo possibilitou avaliar as bandas de absorção e o relacionamento destas com a presença de matéria orgânica no solo, aumentando o detalhamento das informações contidas nas curvas espectrais.Palavras-chave: sensoriamento remoto hiperespectral; Walkley-Black; ciências do solo. AbstractThe spectral behavior of the soil is conditioned by all the elements that constitute it. The organic matter acts peculiarly in the soil, influencing directly in their physical, chemical, biological and mineralogical properties, therefore, presents a strong relationship with your spectral response. In this sense, the objective of this study was to demonstrate the potencial of spectroradiometry in the characterization of soil organic matter, confronting the spectral reflectance variable with the quantification of organic matter of soil samples collected in the Agroecology Center Rio Seco -UEFS, also applying the removal of the continuum on reflectance data, as techniques for extracting information from hyperspectral data. The spectroradiometry presented himself as an effective technique, rapid and non-destructive, providing meaningful data for characterization of soil samples. The processing of the original spectra whit the continuous removal technique made it possible to evaluate the absorption bands and the relationship of these with the presence of organic matter in the soil, increasing the detail of the information contained in the spectral curves.

show abstract

Potential of Spectroradiometry to Classify Soil Clay Content

Cited by 7 publications

References 19 publications

Nitrogen Fertilization on a Soybean Crop Grown on Black Oat and Forage Pea Straw in a Clayey Latosol in Western Paraná

Nitrogen Fertilization on a Soybean Crop Grown on Black Oat and Forage Pea Straw in a Clayey Latosol in Western Paraná

AlradSpectra: a Quantification Tool for Soil Properties Using Spectroscopic Data in R

Utilização Da Espectrorradiometria Na Caracterização Do Teor De Matéria Orgânica Presente No Solo

Contact Info

Product

Resources

About