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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. |
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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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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 |
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Marc: |
LEADER 02457naa a2200349 a 4500
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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Embrapa Agricultura Digital (CNPTIA) |
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| 153. |  | PESSOA, A. C. W. F.; SÓSA-GOMEZ, D. R. Suscetibilidade de Rachiplusia nu resistente a proteína Cry1Ac a produtos comerciais a base de Bacillus thuringiensis. In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 17., 2022, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2022. (Embrapa Soja. Documentos, 446). Regina Maria Villas Bôas de Campos Leite, Larissa Alexandra Cardoso Moraes, Kelly Catharin, Editoras Técnicas. p. 62-66.| Tipo: Artigo em Anais de Congresso |
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