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Annual cropland mapping using data mining and OLI Landsat-8. Author(s): ANTUNES, J. F. G. ABSTRACT: In the state of Paraná, Brazil, there are no major changes in areas cultivated with annual crops, mainly due to environmental laws that do not allow expansions to new areas. There is a great... ... Repository: BDPA Publication year: 2019
Efficiency of distinct data mining algorithms for classifying stress level in piglets from their vocalization. Author(s): OLIVEIRA, S. R. de M. ABSTRACT: Among the challenges of pig farming in today's competitive market, there is factor of the product traceability that ensures, among many points, animal welfare. Vocalization is a valuable too... ... Repository: BDPA Publication year: 2012
Documentação e migração do processo de data mining do CICarne (Centro de Inteligência da Carne Bovina). Author(s): CARROMEU, C.; DIAS, F. R. T. O CICarne é um observatório com foco em consolidar e monitorar análises e tendências do mercado de inovações da pecuária bovina de corte. Dentre seus diversos projetos, atua na vertente de mineração d... ... Repository: BDPA Publication year: 2018
Use of data mining techniques to classify soil CO2 emission induced by crop management in sugarcane field. Author(s): OLIVEIRA, S. R. de M. Soil CO2 emissions are regarded as one of the largest flows of the global carbon cycle and small changes in their magnitude can have a large effect on the CO2 concentration in the atmosphere. Thus, a... ... Repository: BDPA Publication year: 2018
Distribution of annual rainfall in homogeneous regions through data mining techniques in southern Brazil. Author(s): OLIVEIRA, S. R. M. This study aimed to transform time series of annual data of precipitation of Rio Grande do Sul in homogeneous precipitation regions through clustering techniques (data mining). Repository: BDPA Publication year: 2015
Data mining to estimate broiler mortality when exposed to heat wave. Heat waves usually result in losses of animal production since they are exposed to thermal stress inducing an increase in mortality and consequent economical losses. Animal science and meteorological... ... Repository: BDPA Publication year: 2008
Classification of the initial development of eucaliptus using data mining techniques. Author(s): OLIVEIRA, S. R. de M. Abstract - Eucalyptus plantation has expanded considerably in Brazil, especially in regions where soils have low fertility, such as in Brazilian Cerrados. To achieve greater productivity, it is essent... ... Repository: BDPA Publication year: 2017
Sting_RDB: a relational database of structural parameters for protein analysis with support for data warehousing and data mining. Author(s): OLIVEIRA, S. R. de M.; KUSER-FALCÃO, P. R.; YAMAGISHI, M. E. B.; SANTOS, E. H. dos; VIEIRA, F. D.; JARDINE, J. G.; NESHICH, G. Abstract. An effective strategy for managing protein databases is to provide mechanisms to transform raw data into consistent, accurate and reliable information. Such mechanisms will greatly reduce op... ... Repository: BDPA Publication year: 2007
Calibration of the maximum carboxylation velocity (Vcmax) using data mining techniques and ecophysiological data from the Brazilian Semiarid region, for use in Dynamic Global Vegetation Models. The semiarid region of northeastern Brazil, the Caatinga, is extremely important due to its biodiversity and endemism. Measurements of plant physiology are crucial to the calibration of Dynamic Global... ... Repository: BDPA Publication year: 2016
BovReveals: uma plataforma OLAP e data mining para tomada de decisão na pecuária de corte. Author(s): GOMES, R. da C. Observa-se na atividade da agropecuária regional esforços voltados para a produção de carne bovina com qualidade acima da média brasileira. A indústria da carne criou programas de incentivo `a produçã... ... Repository: BDPA Publication year: 2017

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