Data/hora: 03/06/2024 02:54:15

Biblioteca(s): 	Embrapa Agricultura Digital.	
Tipo da produção científica: 	Artigo em Anais de Congresso	
Data corrente: 	02/08/2017	
Data da última atualização: 	07/01/2020	
Autoria: 	CAMARGO, L. de; OLIVEIRA, A. L. de; OLIVEIRA, S. R. de M.; COLETI, J. de C.	
Afiliação: 	LARISSA DE CAMARGO, IAC; ANDRÉA LEDA RAMOS DE OLIVEIRA, Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; JAMILE DE CAMPOS COLETI, Unicamp.	
Título: 	Analysis of regional patterns of grain production and storage in Brazil: a clustering application.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	In: CONFERENCE INTERNATIONAL CONSORTIUM ON APPLIED BIOECONOMY RESEARCH, 21., 2017, Berkeley. Bioeconomy in transition: new tools and new actors. Berkeley: University of California, 2017.	
Idioma: 	Inglês	
Conteúdo: 	The aim of this study is to identify patterns in the production and storage of grains in Brazil from 1980 to 2015 and analyze the conditions of similarity of each group. The technique of data mining Clustering was applied through the algorithm k-means to transform the historical series of grain storage and production into a group of similarities. The results show that the application of the mining technique coherently delimited the regions, which had a direct relation with the expansion of the agricultural frontier in Brazil, proving to be efficient for this application. Four clusters were formed. The first is composed by States of the South Region referring to consolidated crops since the 1960s. The second is composed of States of the Midwest and Southeast regions, revealing the second phase of the country's agricultural expansion. The third is made by states that do not have agricultural potential by soil and climate conditions, with an inexpressive agriculture. Finally, the fourth cluster shows the new Brazilian agricultural frontier called MATOPIBA (Maranhão, Tocantins, Piauí and Bahia), which has reached records in the production and export of grains driven by the installation of new transport routes.	
Palavras-Chave: 	Data mining; Logistics.	
Thesagro: 	Agronegócio.	
Thesaurus Nal: 	agribusiness.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (19248-1) - UPC - AA - DD -  -  -  - DIS