| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
27/11/2017 |
|
Data da última atualização: |
11/11/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
SANTANA, F. B. de; SOUZA, A. M. de; POPPI, R. J. |
|
Afiliação: |
FELIPE BACHION DE SANTANA, UNICAMP; ANDRE MARCELO DE SOUZA, CNPS; RONEI JESUS POPPI, UNICAMP. |
|
Título: |
Visible and near infrared spectroscopy coupled to random forest to quantify some soil quality parameters. |
|
Ano de publicação: |
2018 |
|
Fonte/Imprenta: |
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, v. 191, p. 454-462, Feb. 2018. |
|
DOI: |
https://doi.org/10.1016/j.saa.2017.10.052 |
|
Idioma: |
Inglês |
|
Conteúdo: |
This study evaluates the use of visible and near infrared spectroscopy (Vis-NIRS) combined with multivariate regression based on random forest to quantify some quality soil parameters. The parameters analyzed were soil cation exchange capacity (CEC), sum of exchange bases (SB), organic matter (OM), clay and sand present in the soils of several regions of Brazil. Current methods for evaluating these parameters are laborious, timely and require various wet analytical methods that are not adequate for use in precision agriculture, where faster and automatic responses are required. The random forest regression models were statistically better than PLS regression models for CEC, OM, clay and sand, demonstrating resistance to overfitting, attenuating the effect of outlier samples and indicating the most important variables for the model. The methodology demonstrates the potential of the Vis-NIR as an alternative for determination of CEC, SB, OM, sand and clay, making possible to develop a fast and automatic analytical procedure. |
|
Palavras-Chave: |
Espectroscopia; Quimiometria. |
|
Thesagro: |
Análise do Solo. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 01710naa a2200193 a 4500
001 2080736
005 2021-11-11
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.saa.2017.10.052$2DOI
100 1 $aSANTANA, F. B. de
245 $aVisible and near infrared spectroscopy coupled to random forest to quantify some soil quality parameters.$h[electronic resource]
260 $c2018
520 $aThis study evaluates the use of visible and near infrared spectroscopy (Vis-NIRS) combined with multivariate regression based on random forest to quantify some quality soil parameters. The parameters analyzed were soil cation exchange capacity (CEC), sum of exchange bases (SB), organic matter (OM), clay and sand present in the soils of several regions of Brazil. Current methods for evaluating these parameters are laborious, timely and require various wet analytical methods that are not adequate for use in precision agriculture, where faster and automatic responses are required. The random forest regression models were statistically better than PLS regression models for CEC, OM, clay and sand, demonstrating resistance to overfitting, attenuating the effect of outlier samples and indicating the most important variables for the model. The methodology demonstrates the potential of the Vis-NIR as an alternative for determination of CEC, SB, OM, sand and clay, making possible to develop a fast and automatic analytical procedure.
650 $aAnálise do Solo
653 $aEspectroscopia
653 $aQuimiometria
700 1 $aSOUZA, A. M. de
700 1 $aPOPPI, R. J.
773 $tSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy$gv. 191, p. 454-462, Feb. 2018.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Solos (CNPS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 6 | |
| 5. |  | SANTANA, F. B. de; SOUZA, A. M. de; ALMEIDA, M. R.; BREITKREITZ, M. C.; FILGUEIRAS, P. R.; SENA, M. M.; POPPI, R. J. Experimento didático de quimiometria para classificação de óleos vegetais comestíveis por espectroscopia no infravermelho médio combinado com análise discriminante por mínimos quadrados parciais: um tutorial, parte v. Química Nova, v. 43, n. 3, p. 371-381, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Solos. |
|    |
| 6. | | SANTANA, F. B. de; SOUZA, A. M. de; BALIEIRO, F. de C.; MIORANZA, M.; RODRIGUES, R. de A. R.; POPPI, R. J. Monitoring mineral-associated organic matter in tropical pastures using near infrared spectroscopy. Brazilian Journal of Analytical Chemistry, v. 8, n. 32, p. 78-90, jul./set. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Solos. |
| |
| Registros recuperados : 6 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
