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Clustering algorithms validation to system definition of decision-making for vitivinicultural and enological parameters. Author(s): ALVES, C. A. N.; PEREIRA, G. E.; PAULA JÚNIOR, I. C. DE; CAMPOS, L. S.; VASCONCELOS, L. B. DE Clustering algorithms validation to system definition of decision-making for vitivinicultural and enological parameters. Repository: BDPA Publication year: 2024
Classifying hybrids of energy cane for production of bioethanol and cogeneration of biomass-based electricity by principal component analysis-linked fuzzy c-means clustering algorithm. Author(s): MOREIRA, B. R. de A.; VIANA, R. da S.; LISBOA, L. A. M.; LOPES, P. R. M.; FIGUEIREDO, P. A. M. de; RAMOS, S. B.; BONINI, C. S. B.; TRINDADE, V. D. R.; ANDRADE, M. G. de O.; MAY, A. Abstract: The biggest challenge facing in sugar-energy plants is to move towards the biorefinery concept, without threatening the environment and health. Energy cane is the state-of-the-art of smart e... ... Repository: BDPA Publication year: 2019
Clustering approaches and ensembles applied in the delineation of management classes in precision agriculture. Author(s): SPERANZA, E. A.; CIFERRI, R. R.; CIFERRI, C. D. de A. Abstract. This paper describes an experiment performed using different approaches for spatial data clustering, aiming to assist the delineation of management classes in Precision Agriculture (PA). The... ... Repository: BDPA Publication year: 2016
Feature extraction of spatial panel data with autoencoders for clustering the Brazilian agricultural diversity. Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. DE O.; DOMPIERI, M. H. G.; MOURA, F. R. DE ABSTRACT - Brazilian agricultural production presents a high degree of spatial diversity, which challenges designing territorial public policies to promote sustainable development. This article propos... ... Repository: BDPA Publication year: 2022
Automatic segmentation of the self-organizing map to support territorial zoning. Author(s): BARRETO, P. V. DE A.; SILVA, M. A. S. da; MATOS, L. N.; MIRANDA JÚNIOR, G. F.; DOMPIERI, M. H. G.; MOURA, F. R. DE; RESENDE, F. K. S. ABSTRACT: This paper proposes an algorithm for analyzing clusters of thematic maps with ordinal categorical classes to support territorial zoning. The proposed method combines the Self-Organizing Map... ... Repository: BDPA Publication year: 2023
Using ensembles with spatial clustering approaches applied in the delineation of management classes in precision agriculture. Author(s): SPERANZA, E. A.; CIFERRI, R. R. This paper describes experiments performed using diff erent approaches for spatial data clustering, aiming to assist the delineation of management classes in Precision Agriculture (PA). These approach... ... Repository: BDPA Publication year: 2017
Improving multivariate data streams clustering. Author(s): BONES, C. C.; ROMANI, L. A. S.; SOUSA, E. P. M. de Clustering data streams is an important task in data mining research. Recently, some algorithms have been proposed to cluster data streams as a whole, but just few of them deal with multivariate data... ... Repository: BDPA Publication year: 2016
Estimativa e comparação da área ocupada por plantas aquáticas na superfície da Represa Salto Grande - SP com auxílio da classificação de imagens CBERS-2B. Author(s): MORAES, D. A. de C.; SARTORI, A. A. da C.; NOSSACK, F. A.; SPADOTTO, C. A.; ZIMBACK, C. R. L. This study aims to estimate, by using the NDVI index and the unsupervised classification method CLUSTER, the areas covered by aquatic plants in Salto Grande dam, Americana - SP, comparing 2008 and 201... ... Repository: BDPA Publication year: 2011
Impacto da amostragem aleatória uniforme para o aumento da escalabilidade na geração de agrupamentos hierárquicos de séries espaço-temporais. Author(s): MENDES, R. M. S.; RAZENTE, H.; BARIONI, M. C. N.; ROMANI, L. A. S. Este trabalho apresenta resultados do emprego de uma abordagem escalável para o agrupamento hierárquico de séries espaço-temporais de imagens de satélite visando a redução da complexidade de tempo de... ... Repository: BDPA Publication year: 2016
Genetic evaluation of Jatropha curcas: an important oilseed for biodiesel production. Author(s): FREITAS, R. G.; MISSIO, R. F.; MATOS, F. S.; RESENDE, M. D. V. de; DIAS, L. A. S. Jatropha curcas, internationally and locally known, respectively, as physic nut and pinhão manso, is a highly promising species for biodiesel production in Brazil and other countries in the tropics. I... ... Repository: BDPA Publication year: 2011

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