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| Registros recuperados : 37 | |
| 4. |  | ROQUE, A. A. de O.; SOUZA, Z. M. de; BARBOSA, R. S.; SOUZA, G. S. de. Controle de tráfego agrícola e atributos físicos do solo em área cultivada com cana-de-açúcar. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 7, p. 744-750, jul. 2010 Título em inglês: Agricultural traffic control and soil physical attributes in sugarcane areas.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 5. | | MONTANARI, R.; MARQUES JÚNIOR, J.; PEREIRA, G. T.; SOUZA, Z. M. de. Forma da paisagem como critério para otimização amostral de latossolos sob cultivo de cana-de-açúcar. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 40, n. 1, p. 69-77, jan. 2005 Título em inglês: Landscape form as a criterion for sampling optimization of an oxisol under cultivation of sugar cane.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 6. | | SOUZA, Z. M. de; MARQUES JÚNIOR, J.; COOPER, M.; PEREIRA, G. T. Micromorfologia do solo e sua relação com atributos físicos e hídricos. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 41, n. 3, p. 487-492, mar. 2006 Título em inglês: Soil micromorphology and its relation with physical and hydrical attributes.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 14. | | SOUZA, G. S. de; SOUZA, Z. M. de; SILVA, R. B. da; ARAÚJO, F. S.; BARBOSA, R. S. Compressibilidade do solo e sistema radicular da cana-de-açúcar em manejo com e sem controle de tráfego. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 47, n. 4, p. 603-612, abr. 2012. Título em inglês: Soil compressibility and root system of sugarcane with and without controlled?traffic farming.| Biblioteca(s): Embrapa Solos / UEP-Recife; Embrapa Unidades Centrais. |
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| 15. | | MELO, V. P. de; BEUTLER, A. N.; SOUZA, Z. M. de; CENTURION, J. F.; MELO, W. J. de. Atributos físicos de Latossolos adubados durante cinco anos com biossólido. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 39, n. 1, p. 67-72, jan. 2004 Título em inglês: Physical attributes of Oxisols fertilized along five years with biosolids.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 16. | | ARAÚJO, F. S.; SOUZA, Z. M. de; SOUZA, G. S. de; MATSURA, E. E.; BARBOSA, R. S. Espacialização do intervalo hídrico ótimo de um latossolo vermelho em dois sistemas de colheita de cana-de-açúcar. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 6, p. 651-660, jun. 2013. Título em português: Spatialization of least limiting water range in an Oxisol under two sugarcane harvesting systems.| Biblioteca(s): Embrapa Solos / UEP-Recife; Embrapa Unidades Centrais. |
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| 17. | | ARAÚJO, F. S.; SALVIANO, A. A. C.; LEITE, L. F. C.; SOUZA, Z. M. de; SOUSA, A. C. M. de. Physical quality of a yellow latossol under integrated crop-livestock system. Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 34, n. 3, p. 717-723, 2010.| Biblioteca(s): Embrapa Meio-Norte. |
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| 18. | | SILVA, G. R. V. da; SOUZA, Z. M. de; MARTINS FILHO, M. V.; BARBOSA, R. S.; SOUZA, G. S. de. Soil, water and nutirent losses by interrill erosion from green cane cultivation. Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 36, n. 3, p. 963-970, maio/jun. 2012. Título em Português: Perdas de solo, água e nutrientes por erosão em entressulcos em área sob cultivo de cana crua.| Biblioteca(s): Embrapa Solos / UEP-Recife. |
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| 20. | | LEÃO, M. G. A. de; MARQUES JÚNIOR, J.; SOUZA, Z. M. de; SIQUEIRA, D. S.; PEREIRA, G. T. O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros. Revista Brasileira de Engenharia Agrícola e Ambiental, v.14, n.11, p. 1152–1159, nov., 2010.| Biblioteca(s): Embrapa Algodão. |
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| Registros recuperados : 37 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
13/02/2019 |
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Data da última atualização: |
13/02/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
FARHATE, C. V. V.; SOUZA, Z. M. de; OLIVEIRA, S. R. de M.; CARVALHO, J. L. N.; LA SCALA JÚNIOR, N.; SANTOS, A. P. G. |
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Afiliação: |
CAMILA VIANA VIEIRA FARHATE, Feagri/Unicamp; ZIGOMAR MENEZES DE SOUZA, Feagri/Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA, Feagri/Unicamp; JOÃO LUÍS NUNES CARVALHO, CNPEM; NEWTON LA SCALA JÚNIOR, Unesp; ANA PAULA GUIMARÃES SANTOS, Feagri/Unicamp. |
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Título: |
Classification of soil respiration in areas of sugarcane renewal using decision tree. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Scientia Agricola, v. 75, n. 3, p. 216-224, May/June 2018. |
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DOI: |
http://dx.doi.org/10.1590/1678-992X-2016-0473 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT: The use of data mining is a promising alternative to predict soil respiration from correlated variables. Our objective was to build a model using variable selection and decision tree induction to predict different levels of soil respiration, taking into account physical, chemical and microbiological variables of soil as well as precipitation in renewal of sugarcane areas. The original dataset was composed of 19 variables (18 independent variables and one dependent (or response) variable). The variable-target refers to soil respiration as the target classification. Due to a large number of variables, a procedure for variable selection was conducted to remove those with low correlation with the variable-target. For that purpose, four approaches of variable selection were evaluated: no variable selection, correlation-based feature selection (CFS), chisquare method (χ2) and Wrapper. To classify soil respiration, we used the decision tree induction technique available in the Weka software package. Our results showed that data mining techniques allow the development of a model for soil respiration classification with accuracy of 81 %, resulting in a knowledge base composed of 27 rules for prediction of soil respiration. In particular, the wrapper method for variable selection identified a subset of only five variables out of 18 available in the original dataset, and they had the following order of influence in determining soil respiration: soil temperature > precipitation > macroporosity > soil moisture > potential acidity. MenosABSTRACT: The use of data mining is a promising alternative to predict soil respiration from correlated variables. Our objective was to build a model using variable selection and decision tree induction to predict different levels of soil respiration, taking into account physical, chemical and microbiological variables of soil as well as precipitation in renewal of sugarcane areas. The original dataset was composed of 19 variables (18 independent variables and one dependent (or response) variable). The variable-target refers to soil respiration as the target classification. Due to a large number of variables, a procedure for variable selection was conducted to remove those with low correlation with the variable-target. For that purpose, four approaches of variable selection were evaluated: no variable selection, correlation-based feature selection (CFS), chisquare method (χ2) and Wrapper. To classify soil respiration, we used the decision tree induction technique available in the Weka software package. Our results showed that data mining techniques allow the development of a model for soil respiration classification with accuracy of 81 %, resulting in a knowledge base composed of 27 rules for prediction of soil respiration. In particular, the wrapper method for variable selection identified a subset of only five variables out of 18 available in the original dataset, and they had the following order of influence in determining soil respiration: soil temperature > precipi... Mostrar Tudo |
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Palavras-Chave: |
Árvore de decisão; Data mining; Decision tree; Emissão de gás carbônico no solo; Matéria orgânica no solo; Mineração de dados; Seleção de variável; Temperatura no solo; Variable selection. |
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Thesagro: |
Respiração do Solo. |
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Thesaurus NAL: |
Carbon dioxide; Soil organic matter; Soil temperature. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/192660/1/AP-Classification-soil-Farhate.pdf
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Marc: |
LEADER 02675naa a2200349 a 4500
001 2105884
005 2019-02-13
008 2018 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/1678-992X-2016-0473$2DOI
100 1 $aFARHATE, C. V. V.
245 $aClassification of soil respiration in areas of sugarcane renewal using decision tree.$h[electronic resource]
260 $c2018
520 $aABSTRACT: The use of data mining is a promising alternative to predict soil respiration from correlated variables. Our objective was to build a model using variable selection and decision tree induction to predict different levels of soil respiration, taking into account physical, chemical and microbiological variables of soil as well as precipitation in renewal of sugarcane areas. The original dataset was composed of 19 variables (18 independent variables and one dependent (or response) variable). The variable-target refers to soil respiration as the target classification. Due to a large number of variables, a procedure for variable selection was conducted to remove those with low correlation with the variable-target. For that purpose, four approaches of variable selection were evaluated: no variable selection, correlation-based feature selection (CFS), chisquare method (χ2) and Wrapper. To classify soil respiration, we used the decision tree induction technique available in the Weka software package. Our results showed that data mining techniques allow the development of a model for soil respiration classification with accuracy of 81 %, resulting in a knowledge base composed of 27 rules for prediction of soil respiration. In particular, the wrapper method for variable selection identified a subset of only five variables out of 18 available in the original dataset, and they had the following order of influence in determining soil respiration: soil temperature > precipitation > macroporosity > soil moisture > potential acidity.
650 $aCarbon dioxide
650 $aSoil organic matter
650 $aSoil temperature
650 $aRespiração do Solo
653 $aÁrvore de decisão
653 $aData mining
653 $aDecision tree
653 $aEmissão de gás carbônico no solo
653 $aMatéria orgânica no solo
653 $aMineração de dados
653 $aSeleção de variável
653 $aTemperatura no solo
653 $aVariable selection
700 1 $aSOUZA, Z. M. de
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aCARVALHO, J. L. N.
700 1 $aLA SCALA JÚNIOR, N.
700 1 $aSANTOS, A. P. G.
773 $tScientia Agricola$gv. 75, n. 3, p. 216-224, May/June 2018.
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Embrapa Agricultura Digital (CNPTIA) |
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