| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Arroz e Feijão. |
|
Data corrente: |
23/04/2019 |
|
Data da última atualização: |
12/02/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
MORAIS, P. A. de O.; SOUZA, D. M. de; MADARI, B. E.; SOARES, A. da S.; OLIVEIRA, A. E. de. |
|
Afiliação: |
PEDRO AUGUSTO DE OLIVEIRA MORAIS, UFG; DIEGO MENDES DE SOUZA, CNPAF; BEATA EMOKE MADARI, CNPAF; ANDERSON DA SILVA SOARES, UFG; ANSELMO ELCANA DE OLIVEIRA, UFG. |
|
Título: |
Using image analysis to estimate the soil organic carbon content. |
|
Ano de publicação: |
2019 |
|
Fonte/Imprenta: |
Microchemical Journal, v. 147, p. 775-781, June 2019. |
|
ISSN: |
0026-265X |
|
DOI: |
10.1016/j.microc.2019.03.070 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Soil test for organic carbon content using the Walkley-Black standard method is a laborious task that takes almost 5 working days to report the results. In order to improve lab analysis efficiency, a new analytical method using digital images is proposed. Using multivariate image analysis (MIA) soil organic carbon (SOC) contents can be determined in<3 days. The MIA method for SOC was developed using 177 soil samples collected from 3 regions of Brazil (North, West Central, and Northeast). Digital images of soil samples were correlated with the organic carbon contents determined by the Walkley-Black standard method using multivariate regression algorithms. In the end, MIA model employing a machine learn approach using least squares support vector machine (LS-SVM), presented an excellent correlation, r2 > 0.93, between image data and SOC contents measured by the standard analytical method. The proposed MIA method is eco-friendly, cheap, fast, and a clean alternative that can be employed by soil testing laboratories for measuring SOC contents. |
|
Thesagro: |
Carbono; Solo Orgânico. |
|
Thesaurus Nal: |
Chemometrics; Green chemistry; Soil test values. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 01785naa a2200253 a 4500
001 2108416
005 2020-02-12
008 2019 bl uuuu u00u1 u #d
022 $a0026-265X
024 7 $a10.1016/j.microc.2019.03.070$2DOI
100 1 $aMORAIS, P. A. de O.
245 $aUsing image analysis to estimate the soil organic carbon content.$h[electronic resource]
260 $c2019
520 $aSoil test for organic carbon content using the Walkley-Black standard method is a laborious task that takes almost 5 working days to report the results. In order to improve lab analysis efficiency, a new analytical method using digital images is proposed. Using multivariate image analysis (MIA) soil organic carbon (SOC) contents can be determined in<3 days. The MIA method for SOC was developed using 177 soil samples collected from 3 regions of Brazil (North, West Central, and Northeast). Digital images of soil samples were correlated with the organic carbon contents determined by the Walkley-Black standard method using multivariate regression algorithms. In the end, MIA model employing a machine learn approach using least squares support vector machine (LS-SVM), presented an excellent correlation, r2 > 0.93, between image data and SOC contents measured by the standard analytical method. The proposed MIA method is eco-friendly, cheap, fast, and a clean alternative that can be employed by soil testing laboratories for measuring SOC contents.
650 $aChemometrics
650 $aGreen chemistry
650 $aSoil test values
650 $aCarbono
650 $aSolo Orgânico
700 1 $aSOUZA, D. M. de
700 1 $aMADARI, B. E.
700 1 $aSOARES, A. da S.
700 1 $aOLIVEIRA, A. E. de
773 $tMicrochemical Journal$gv. 147, p. 775-781, June 2019.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Café. |
|
Data corrente: |
22/02/2011 |
|
Data da última atualização: |
10/03/2011 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
SOUZA, A. A. de; MARTINS, S. G. F.; ZACARIAS, M. S. |
|
Afiliação: |
UNIVERSIDADE FEDERAL DE LAVRAS; UNIVERSIDADE FEDERAL DE LAVRAS; MAURICIO SERGIO ZACARIAS, SAPC. |
|
Título: |
Computer simulation applied to the biological control of the insect aphis gossypii for the parasitoid Lysiphlebus testaceipes. |
|
Ano de publicação: |
2009 |
|
Fonte/Imprenta: |
In.: ECOLOGICAL MODELLING, v. 220, p.756-763, 2009. |
|
Idioma: |
Inglês |
|
Conteúdo: |
In integrated pest management (IPM), biological control is one of the possible options for the prevention or remediation of an unacceptable pest activity or damage. The success of forecast models in IPM depends, among other factors, on the knowledge of temperature effect over pests and its natural enemies. In this work, we simulated the effects of parasitism of Lysiphlebus testaceipes (Cresson, 1880) (Hymenoptera: Aphidiidae) on Aphis gossypii (Glover, 1877) (Hemiptera: Aphididae), a pest that is associated to crops of great economic importance in several parts of the world. We made use of experimental data relative to the host and its parasitoid at different temperatures. Age structure was incorporated into the dynamics through the Penna model. The results obtained showed that simulation, as a forecast model, can be a useful tool for biological control programs. |
|
Palavras-Chave: |
Insect-pests; Virus diseases to plants. |
|
Thesaurus NAL: |
Biological control. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/29262/1/Computer-simulation-applied.pdf
|
|
Marc: |
LEADER 01472naa a2200181 a 4500
001 1880354
005 2011-03-10
008 2009 bl uuuu u00u1 u #d
100 1 $aSOUZA, A. A. de
245 $aComputer simulation applied to the biological control of the insect aphis gossypii for the parasitoid Lysiphlebus testaceipes.$h[electronic resource]
260 $c2009
520 $aIn integrated pest management (IPM), biological control is one of the possible options for the prevention or remediation of an unacceptable pest activity or damage. The success of forecast models in IPM depends, among other factors, on the knowledge of temperature effect over pests and its natural enemies. In this work, we simulated the effects of parasitism of Lysiphlebus testaceipes (Cresson, 1880) (Hymenoptera: Aphidiidae) on Aphis gossypii (Glover, 1877) (Hemiptera: Aphididae), a pest that is associated to crops of great economic importance in several parts of the world. We made use of experimental data relative to the host and its parasitoid at different temperatures. Age structure was incorporated into the dynamics through the Penna model. The results obtained showed that simulation, as a forecast model, can be a useful tool for biological control programs.
650 $aBiological control
653 $aInsect-pests
653 $aVirus diseases to plants
700 1 $aMARTINS, S. G. F.
700 1 $aZACARIAS, M. S.
773 $tIn.: ECOLOGICAL MODELLING$gv. 220, p.756-763, 2009.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Café (CNPCa) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
