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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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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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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| Registros recuperados : 15 | |
| 1. |  | CARVALHO, J. L. N.; AVANZI, J. C.; CERRI, C. E. P.; CERRI, C. C. Adequação dos sistemas de produção rumo à sustentabilidade ambiental. In: FALEIRO, F. G.; FARIAS NETO, A. L. de (Ed.). Savanas: desafios e estratégias para o equilíbrio entre sociedade, agronegócio e recursos naturais. Planaltina, DF: Embrapa Cerrados, 2008. cap. 19, p. 673-692.| Biblioteca(s): Embrapa Cerrados. |
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| 2. | | LANGE, A.; CARVALHO, J. L. N. de; DAMIN, V.; CRUZ, J. C.; MARQUES, J. J. Alterações em atributos do solo decorrentes da aplicação de nitrogênio e palha em sistema semeadura direta na cultura do milho. Ciencia Rural, Santa Maria, v. 36, n.2, p. 460-467, 2006.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 3. | | LANGE, A.; CARVALHO, J. L. N.; DAMIN, V.; CRUZ, J. C.; GUILHERME, L. R. G.; MARQUES, J. J. Doses de nitrogênio e de palha em sistema plantio direto de milho no cerrado. Revista Ceres, Viçosa, v. 53, n. 306, p. 171-178, 2006.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 4. | | CARVALHO, J. L. N. CERRI, C. E. P.; CERRI, C. C.; FEIGL, B. J.; PÍCCOLO, M. de C.; GODINHO, V. de P. C.; HERP, U. Changes of chemical properties in an oxisol after clearing of native Cerrado vegetation for agricultural use in Vilhena, Rondonia State, Brazil. Soil & Tillage Research, v. 96, p. 95-102, 2007.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
| Biblioteca(s): Embrapa Rondônia. |
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| 5. | | CARVALHO, J. L. N.; CERRI, C. E. P.; FEIGL, B. P.; PÍCCOLO, M. C.; GODINHO, V. de P. C.; CERRI, C. C. Carbon sequestration in agricultural soils in the Cerrado region of the brazilian Amazon. Soil & Tillage Research, v. 103, n. 2, p. 342-349, May 2009.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Rondônia. |
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| 6. | | BOSCHIERO, B. N.; CASTRO, S. G. Q. de; CRUZ, L. P. da; CARVALHO, J. L. N.; SILVA, S. R.; BRESSIANI, J. A.; KÖLLN, O. T. Biomass yield, nutrient removal, and chemical composition of energy cane genotypes in Southeast Brazil. Industrial Crops and Products, v. 191, 115993, Jan. 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Florestas. |
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| 7. | | 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. Classification of soil respiration in areas of sugarcane renewal using decision tree. Scientia Agricola, v. 75, n. 3, p. 216-224, May/June 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 8. | | CARVALHO, J. L. N.; CERRI, C. E. P.; FEIGL, B. J.; PICCOLO, M. de C.; GODINHO, V. de P.; HERPIN, U.; CERRI, C. C. Conversion of Cerrado into agricultural land in the south-western amazon: carbon stocks and soil fertility. Scientia Agricola, v. 66, n. 2, p. 233-241, mar./abr. 2009.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Rondônia. |
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| 10. | | BORDONAL, R. O.; MENANDRO, L. M. S.; BARBOSA, L. C.; LAL, R.; MILORI, D. M. B. P.; KOLLN, O. T.; FRANCO, H. C. J.; CARVALHO, J. L. N. Sugarcane yield and soil carbon response to straw removal in south-central Brazil. Geoderma, Amsterdam, v. 328, p. 79-90, 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Instrumentação. |
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| 11. | | CARVALHO, J. L. N.; RAUCCI, G. S.; CERRI, C. E. P.; BERNOUX, M.; FEIGL, B. J.; WRUCK, F. J.; CERRI, C. C. Impact of pasture, agriculture and crop-livestock systems on soil C stocks in Brazil. Soil and Tillage Research, v. 110, n. 1, p. 175-186, Sept. 2010.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 12. | | BORDONAL, R. DE O.; LAL, R.; RONQUIM, C. C.; FIGUEIREDO, E. B. DE; CARVALHO, J. L. N.; MALDONADO JUNIOR, W.; MILORI, D. M. B. P.; LA SCALA JUNIOR, N. Changes in quantity and quality of soil carbon due the land-use conversion to sugarcane (Saccharum officinarum) plantation in southern Brazil. Agriculture, Ecosystems and Environment, v. 240, p. 54-65, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Instrumentação; Embrapa Territorial. |
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| 13. | | SEGNINI, A.; CARVALHO, J. L. N.; BOLONHEZI, D.; MILORI, D. M. B. P.; SILVA, W. T. L. da; SIMOES, M. L.; CANTARELLA, H.; MARIA, I. C. de; MARTIN NETO, L. Carbon stock and humification index of organic matter affected by sugarcane straw and soil management. Scientia agrícola, Piracicaba, v. 70, n. 5, p. 321-326, 2013.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Instrumentação. |
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| 14. | | ROSSI NETO, J.; SOUZA, Z. M. de; OLIVEIRA, S. R. de M.; KÖLLN, O. T.; FERREIRA, D. A.; CARVALHO, J. L. N.; BRAUNBECK, O. A.; FRANCO, H. C. J. Use of the decision tree technique to estimate sugarcane productivity under edaphoclimatic conditions. Sugar Tech, v. 19, n. 6, p. 662-668, Nov./Dec. 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 15. | | NICOLODELLI, G.; ROMANO, R. A.; SENESI, G. S.; CABRAL, J.; WATANABE, A.; TELLI, S.; BORDONAL, R. de O.; CARVALHO, J. L. N.; MARANGONI, B. S.; MILORI, D. M. B. P. Evaluation of nitrogen fertilization in sugarcane leaves using laser-induced breakdown spectroscopy (LIBS) coupled with principal component analysis (PCA). In: LATIN AMERICA OPTICS AND PHOTONICS CONFERENCE, 2018, Peru. Proceedings... USA: OSA, 2018.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação. |
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| Registros recuperados : 15 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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