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| Registros recuperados : 16 | |
| 1. |  | 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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| 2. | | 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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| 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.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 4. | | 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.| Biblioteca(s): Embrapa Agricultura Digital. |
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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.| Biblioteca(s): Embrapa Rondônia. |
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| 6. | | 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.| Biblioteca(s): Embrapa Rondônia. |
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| 7. | | 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.| Biblioteca(s): Embrapa Instrumentação. |
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| 8. | | 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.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 9. | | 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.| Biblioteca(s): Embrapa Florestas. |
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| 10. | | 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.| Biblioteca(s): Embrapa Rondônia. |
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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.| 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.| Biblioteca(s): Embrapa Instrumentação. |
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| 14. | | CERRI, C. C.; BERNOUX, M.; MAIA, S. M. F.; CERRI, C. E. P.; COSTA JUNIOR, C.; FEIGL, B. J.; FRAZÃO, L. A.; MELLO, F. F. de C.; GALDOS, M. V.; MOREIRA, C. S.; CARVALHO, J. L. N. Greenhouse gas mitigation options in Brazil for land-use change, livestock and agriculture. Scientia Agricola, v. 67, n. 1, p. 102-116, jan./feb., 2010.| Biblioteca(s): Embrapa Algodão. |
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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.| Biblioteca(s): Embrapa Instrumentação. |
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| 16. | | 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.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 16 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
08/01/2018 |
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Data da última atualização: |
07/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
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. |
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Afiliação: |
JOÃO ROSSI NETO, Feagri/unicamp; ZIGOMAR MENEZES DE SOUZA, Feagri/Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; ORIEL TIAGO KÖLLN, CNPEM; DANILO ALVES FERREIRA, CNPEM; JOÃO LUÍS NUNES CARVALHO, CNPEM; OSCAR ANTÔNIO BRAUNBECK, CNPEM; HENRIQUE COUTINHO JUNQUEIRA FRANCO, CNPEM. |
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Título: |
Use of the decision tree technique to estimate sugarcane productivity under edaphoclimatic conditions. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Sugar Tech, v. 19, n. 6, p. 662-668, Nov./Dec. 2017. |
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DOI: |
10.1007/s12355-017-0509-7 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract - A number of biometric evaluations are performed during harvest for measuring the growth and development of the sugarcane crop. From these evaluations, hundreds of data values are generated, containing certain information on the productivity of the culture in that crop and edaphoclimatic region. Accordingly, the objective of this work was to identify, using a decision tree classi?cation technique, the biometric attribute having the greatest effect on the productivity of the plant cane in different planting configurations and edaphoclimatic conditions. To accomplish this, data were evaluated from four experiments with sugarcane, located within the São Paulo municipalities of Teodoro Sampaio, Guaíra, Iracemápolis, and Lençóis Paulista. The classification model was generated using the decision tree technique, a type of intuitive learning that creates a hypothesis based on particular instances that results in general conclusions. The decision trees applied to the data of the four sites showed that the population of plants per hectare has the highest information gain (split attribute) on the class attribut e (productivity). Using the "Chi-square" method of attribute selection, the population of plants per hectare was observed to have the largest correlation with the final productivity of the culture. Therefore, the decision tree indicates that the attribute. |
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Palavras-Chave: |
Cana-de-açúcar; Edafoclimática; Methods for data classification; Productivity classification; Saccharum spp; Selection of biometric attributes. |
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Thesagro: |
Produtividade. |
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Thesaurus NAL: |
Data analysis; Models; Research methods; Sugarcane soils. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
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024 7 $a10.1007/s12355-017-0509-7$2DOI
100 1 $aROSSI NETO, J.
245 $aUse of the decision tree technique to estimate sugarcane productivity under edaphoclimatic conditions.$h[electronic resource]
260 $c2017
520 $aAbstract - A number of biometric evaluations are performed during harvest for measuring the growth and development of the sugarcane crop. From these evaluations, hundreds of data values are generated, containing certain information on the productivity of the culture in that crop and edaphoclimatic region. Accordingly, the objective of this work was to identify, using a decision tree classi?cation technique, the biometric attribute having the greatest effect on the productivity of the plant cane in different planting configurations and edaphoclimatic conditions. To accomplish this, data were evaluated from four experiments with sugarcane, located within the São Paulo municipalities of Teodoro Sampaio, Guaíra, Iracemápolis, and Lençóis Paulista. The classification model was generated using the decision tree technique, a type of intuitive learning that creates a hypothesis based on particular instances that results in general conclusions. The decision trees applied to the data of the four sites showed that the population of plants per hectare has the highest information gain (split attribute) on the class attribut e (productivity). Using the "Chi-square" method of attribute selection, the population of plants per hectare was observed to have the largest correlation with the final productivity of the culture. Therefore, the decision tree indicates that the attribute.
650 $aData analysis
650 $aModels
650 $aResearch methods
650 $aSugarcane soils
650 $aProdutividade
653 $aCana-de-açúcar
653 $aEdafoclimática
653 $aMethods for data classification
653 $aProductivity classification
653 $aSaccharum spp
653 $aSelection of biometric attributes
700 1 $aSOUZA, Z. M. de
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aKÖLLN, O. T.
700 1 $aFERREIRA, D. A.
700 1 $aCARVALHO, J. L. N.
700 1 $aBRAUNBECK, O. A.
700 1 $aFRANCO, H. C. J.
773 $tSugar Tech$gv. 19, n. 6, p. 662-668, Nov./Dec. 2017.
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