Prof. Dr. Miguel Angel Uribe-Opazo
CCET, Western Paraná State University, Cascavel, Paraná, Brazil
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Academic Career Length
19Years (2008-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 June 2018 in Chemometrics and Intelligent Laboratory Systems
Journal Article
FGFabiana Garcia-Papani
Fabiana Garcia-Papani
Victor LeivaMiguel Angel Uribe-OpazoRARobert G. Aykroyd
Robert G. Aykroyd
2 February 2016 in Stochastic Environmental Research and Risk Assessment
Journal Article
FGFabiana Garcia-Papani
Fabiana Garcia-PapaniMiguel Angel Uribe-OpazoVictor LeivaRARobert Aykroyd
Robert Aykroyd22 October 2014 in TEST
Journal Article
Fernanda De BastianiACAudrey Helen Mariz de Aquino Cysneiros
Audrey Helen Mariz de Aquino CysneirosMiguel Angel Uribe-OpazoMGManuel Galea
Manuel Galea1 October 2013 in Engenharia Agrícola
Journal Article
CBClaudio Leones Bazzi
Claudio Leones BazziESEduardo Souza
Eduardo SouzaMiguel Angel Uribe-OpazoLNLúcia H. P. Nóbrega
Lúcia H. P. NóbregaDRDavi Rocha
Davi RochaSeveral equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation and sampling. An interesting possibility is to define management zones aim at dividing producing areas in smaller management zones that could be treated differently, serving as a source of recommendation and analysis. Thus, this trial used physical and chemical properties of soil and yield aiming at the generation of management zones in order to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was performed by calculating the reduction of variance and performing means tests. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The used methodology allowed the generation of management zones that can serve as source of recommendation and soil analysis; despite the relative efficiency has shown a reduced variance for all attributes in divisions in the three sub-regions, the ANOVA did not show significative differences among the management zones.
1 June 2013 in Engenharia Agrícola
Journal Article
GDGustavo H. Dalposso
Gustavo H. DalpossoMiguel Angel Uribe-OpazoEMErivelto Mercante
Erivelto MercanteRLRubens Lamparelli
Rubens LamparelliThis research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during the 2004/2005 crop season. The data were grouped into five vegetation index classes of equal amplitude, to create a temporal map of soybean within the crop cycle. Moran I and Local Indicators of Spatial Autocorrelation (LISA) indices were applied to study the spatial correlation at the global and local levels, respectively. According to these indices, it was possible to understand the municipality-based profiles of tillage as well as to identify different sowing periods, providing important information to producers who use soybean yield data in their planning.
1 February 2010 in Engenharia Agrícola
Journal Article
SSSilvio C. Sampaio
Silvio C. SampaioFCFrancielle A. Caovilla
Francielle A. CaovillaMiguel Angel Uribe-OpazoLNLúcia H. P. Nóbrega
Lúcia H. P. NóbregaMSMorgana Suszek
Morgana SuszekASAdriana Smanhotto
Adriana SmanhottoNeste trabalho, foi avaliada a dinâmica da lixiviação de íons em colunas de solo deformado e indeformado. O solo utilizado era proveniente de área fertirrigada com água residuária da suinocultura diluída em 0%, 25%, 50%, 75% e cultivada com soja. Foram construídas curvas de eluição para nitrato, potássio e condutividade elétrica. De acordo com os resultados obtidos nas colunas de solo deformado, e proporcionalmente aos tratamentos, o nitrato apresentou maior mobilidade, seguido pela concentração de sais totais e do potássio. A metodologia de colunas de solo indeformado não se mostrou adequada, devido, possivelmente, à compactação do solo durante a amostragem e à dificuldade no bloqueio de caminhos preferenciais ao longo de toda a coluna.
About Me
Possui Bacharelado e Licenciatura em Estatística pela Universidad Nacional Mayor de San Marcos-UNMSM, Lima - Perú, Mestrado em Estatística pela Universidade Estadual de Campinas-UNICAMP, SP-Brasil, Doutorado em Estatística pelo Instituto de Matemática e Estatística da Universidade de São Paulo-IME/USP, SP - Brasil e Pós-doutorado no Departamento de Estatística da Pontifícia Universidad Católica de Chile - PUC, Santiago-Chile. Atualmente é professor associado da Universidade Estadual do Oeste do Paraná-UNIOESTE, Campus de Cascavel-Paraná-Brasil com experiências nas áreas de Estatística Espacial, Métodos e Modelagem Estatístico, Ciência dos Dados e Agricultura de Precisão. Desde 1990, atua na graduação como docente dos cursos de Economia, Matemática, Engenharia Agrícola, Engenharia Civil e Administração. Atua como Professor Permanente desde o ano de 1997 no Programa de Pós-graduação de Engenharia Agrícola - PGEAGRI, na área de Estatística Espacial, Geoprocessamento e Agricultura de Precisão, sendo um de seus idealizadores.É Bolsista de Produtividade Científica-CNPq, desde 2010. Foi orientador de 36 dissertações de mestrado e 23 coorientações de mestrado.Foi orientador de 13 teses de Doutorado e coorientador de 8 teses de Doutorado., respectivamente. Atualmente desenvolve projetos de pesquisa com pesquisadores de Universidades nacionais e Internacionais tais como Chile, Perú e USA.