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Self-Organizing Map approach to cluster Brazilian agricultural spatiotemporal diversity. Author(s): SANTOS, F. E. de O.; SILVA, M. A. S. da; MATOS, L. N.; MOURA, F. R. de; DOMPIERI, M. H. G. This work aims to cluster Brazilian municipalities according to their spatiotemporal agricultural diversity pattern. The diversity index has been defined for eight categories and calculated by Shannon... ... Repository: BDPA Publication year: 2021
Automatic environmental zoning with self-organizing maps. Author(s): SILVA, M. A. S. da; MACIEL, R. J. S.; MATOS, L. N.; DOMPIERI, M. H. G. This article presents the application of the Self-Organizing Maps (SOM) as an exploratory tool for automatic environmental zoning by combining the handle of categorical data and the other for automati... ... Repository: BDPA Publication year: 2018
Mapeamento de características de solo tropicais utilizando Self-Organizing Map aplicado à dados hiperespectrais. Author(s): VICENTE, L. E.; FRIEDEL, M. J.; IWASHITA, F.; KOGA-VICENTE, A. Repository: BDPA Publication year: 2013
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
Emergent self-organizing maps aplicados ao estudo da diversidade genética de acessos de uva de mesa do Banco Ativo de Germoplasma de videira (Vitis spp.) da Embrapa Semiárido. Author(s): CALDAS, R. M. de S.; MUSSER, R. dos S.; NASCIMENTO, A. C. A. do; LEAO, P. C. de S. O objetivo deste trabalho foi aplicar a inteligência artificial, por meio do uso do algoritmo de agrupamento Emergent self-organizing maps (ESOM), ao estudo da diversidade genética de acessos de uvas... ... Repository: BDPA Publication year: 2024
Evaluating a self-organizing map approach to cluster a Brazilian agricultural diversity spatial panel data. Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. de O.; MAOURA, F. R. de; DOMPIERI, M. H. G. Repository: BDPA Publication year: 2021
Tracking the Connection between Brazilian Agricultural Diversity and Native Vegetation Change by a Machine Learning Approach. Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. DE O.; DOMPIERI, M. H. G.; MOURA, F. R. DE ABSTRACT - In Brazil, agribusiness has a considerable role in the country?s GDP. Because of this, the State needs territorial planning to minimize the impacts on natural resources, especially in the P... ... Repository: BDPA Publication year: 2022
A neural qualitative approach for automatic territorial zoning. Author(s): MACIEL, R. J. S.; SILVA, M. A. S. da; MATOS, L. N.; DOMPIERI, M. H. G. This article presents the application of the Self-Organizing Maps (SOM) as an exploratory tool for automatic territorial zoning by combining the handle of categorical data and the other for automatic... ... Repository: BDPA Publication year: 2017
Identificação de zonas de risco de entrada da praga Xanthomonas oryzae PV. oryzae por meio de diferentes técnicas de clusterização de dados ordinais. Author(s): SANTOS, P. K. DE A.; SILVA, M. A. S. da; MATOS, L. N.; MIRANDA JÚNIOR, G. F.; MINGOTI, R.; KANO, C.; DOMPIERI, M. H. G. Esta pesquisa objetivou identificar zonas de risco de entrada da praga Xanthomonas oryzae pv. oryzae no Brasil, a partir de fatores de risco como: presença de portos e aeroportos; importação de frutos... ... Repository: BDPA Publication year: 2024
Ex-post clustering of brazilian beef cattle farms using soms and cross-evaluation Dea models. Author(s): MELLO, J. C. C. B. S. de; GOMES, E. G.; MEZA, L. A.; BIONDI NETO, L.; ABREU, U. G. P. de; CARVALHO, T. B. de; ZEN, S. de Repository: BDPA Publication year: 2012

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