Data/hora: 23/09/2024 14:08:37

Biblioteca(s): 	Embrapa Agricultura Digital.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	B - 1	
Data corrente: 	08/01/2018	
Data da última atualização: 	07/01/2020	
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.	
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.	
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	
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.	
Palavras-Chave: 	Cana-de-açúcar; Edafoclimática; Methods for data classification; Productivity classification; Saccharum spp; Selection of biometric attributes.	
Thesagro: 	Produtividade.	
Thesaurus Nal: 	Data analysis; Models; Research methods; Sugarcane soils.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (19570-1) - UPC - AP - DD -  -  -  - DIS