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| Registros recuperados : 12 | |
| 1. |  | MARTINS, G. Z.; SILVA, S. R. da; KÖLLN, O. T. Does a hormonal plant growth promoter (KIN, GA3, and IBA) affect grain yield and N, P, K, Ca, and Mg uptake in wheat crop in Southern Brazil? Journal of Plant Nutrition, 05 Apr 2022.| Biblioteca(s): Embrapa Florestas; Embrapa Trigo. |
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| 6. | | DUFT, D. G.; SANCHES, G. M.; LUCIANO, A. C. S.; MONTIBELLER, B.; SILVEIRA, H. L. F. da; SANCHES, I. D. A.; KÖLLN, O. T. Identificação de fechamento de dossel de cana-de-açúcar através de imagens de VANT. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 5998-6005.| Biblioteca(s): Embrapa Solos. |
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| 7. | | 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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| 8. | | PANNUTI, L. E. da R.; BALDIN, E. L. L.; GAVA, G. J. de C.; KOLLN, O. T.; CRUZ, J. C. S. Danos do complexo broca-podridão à produtividade e à qualidade da cana-de-açúcar fertirrigada com doses de nitrogênio. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 4, p. 381-387, abr. 2013. Título em inglês: Damages caused by the borer?rot complex to the productivity and quality of sugarcane fertigated with nitrogen doses.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 9. | | GAVA, G. J. de C.; SILVA, M. de A.; SILVA, R. C. da; JERONIMO, E. M.; CRUZ, J. C. S.; KÖLLN, O. T. Produtividade de três cultivares de cana-de-açúcar sob manejos de sequeiro e irrigado por gotejamento. Revista Brasileira de Engenharia Agrícola e Ambiental, v. 15, n. 3, p. 250-255, mar., 2011.| Biblioteca(s): Embrapa Algodão. |
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| 11. | | 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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| 12. | | 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 : 12 | |
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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
|
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. |
|
Título: |
Use of the decision tree technique to estimate sugarcane productivity under edaphoclimatic conditions. |
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Ano de publicação: |
2017 |
|
Fonte/Imprenta: |
Sugar Tech, v. 19, n. 6, p. 662-668, Nov./Dec. 2017. |
|
DOI: |
10.1007/s12355-017-0509-7 |
|
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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001 2084483
005 2020-01-07
008 2017 bl uuuu u00u1 u #d
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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