Data/hora: 10/06/2024 02:48:07

Biblioteca(s): | Embrapa Solos.
Tipo da produção científica: | Artigo em Periódico Indexado
Circulação/Nível: | A - 2
Data corrente: | 27/11/2017
Data da última atualização: | 11/11/2021
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
Registro original: | Embrapa Solos (CNPS)
Exemplares: | CNPS - (19689-1) - UPC - AP - DD -  -  - 2017.00246 - DIS