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	Provedor de dados Anais da ABC (AABC) (1) REA (1) Autor Dias,Hugo S. (1) Johann,Jerry A. (1) Lamparelli,Rubens A. C. (1) Lamparelli,Rubens A.C. (1) Oliveira,Stanley R. de M. (1) Rocha,Jansle V. (1) Rodrigues,Luiz H. A. (1) Mais... Palavra-chave Annual crop (2) Crop quality (1) Fuzzy (1) K-Means (1) MAXVER (1) MODIS (1) Optimization (1) SPOT Vegetation (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2013 (1) 2009 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Methodological development of a quality index for agricultural operations, for corn cultivation using multi-criterion analysis Anais da ABC (AABC) Lamparelli,Rubens A.C.; Dias,Hugo S.. One of the major problems in the Brazilian agriculture is related to the production loss in the field, which, due to many factors, is not being considered. This article has the objective to develop a methodology to identify a quality index which integrates some crop quality variables which are able to indicate how the crop is developing in terms of loss in the field. The results have showed that the strategy of multi-criterion analysis and Fuzzy logic proved to be important tools for the assessment and preparation of a quality index for corn production. The index proposed performed well in representing the quality of agricultural operations when compared with reality. Tipo: Info:eu-repo/semantics/article Palavras-chave: Annual crop; Optimization; Fuzzy; Crop quality. Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652009000400020 Data mining techniques for identification of spectrally homogeneous areas using NDVI temporal profiles of soybean crop REA Johann,Jerry A.; Rocha,Jansle V.; Oliveira,Stanley R. de M.; Rodrigues,Luiz H. A.; Lamparelli,Rubens A. C.. The aim of this study was to group temporal profiles of 10-day composites NDVI product by similarity, which was obtained by the SPOT Vegetation sensor, for municipalities with high soybean production in the state of Paraná, Brazil, in the 2005/2006 cropping season. Data mining is a valuable tool that allows extracting knowledge from a database, identifying valid, new, potentially useful and understandable patterns. Therefore, it was used the methods for clusters generation by means of the algorithms K-Means, MAXVER and DBSCAN, implemented in the WEKA software package. Clusters were created based on the average temporal profiles of NDVI of the 277 municipalities with high soybean production in the state and the best results were found with the K-Means... Tipo: Info:eu-repo/semantics/article Palavras-chave: Annual crop; MODIS; SPOT Vegetation; MAXVER; K-Means. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000300008 Registros recuperados: 2 Primeira ... 1 ... Última

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