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Self-Organizing Map approach to cluster Brazilian agricultural spatiotemporal diversity. 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. 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. Repository: BDPA Publication year: 2013
Automatic segmentation of the self-organizing map to support territorial zoning. 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. 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. Repository: BDPA Publication year: 2021
Tracking the Connection between Brazilian Agricultural Diversity and Native Vegetation Change by a Machine Learning Approach. 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. 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. 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. Repository: BDPA Publication year: 2012

Showing 1 - 10 of 176 results.

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