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Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends. Author(s): HIDALGO CHÁVEZ, D. W.; SILVA, F. L. C. DA; PINTO, R. V.; CARVALHO, C. W. P. de; FREITAS-SILVA, O. This article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extru... ... Repository: BDPA Publication year: 2023
Soil classification from visible/near-infrared diffuse reflectance spectra at multiple depths. Author(s): VASQUES, G. de M.; DEMATTE, J. A. M.; LOPEZ, L. R.; TERRA, F. da S. Abstract : Visible/near-infrared diffuse reflectance spectroscopy (VNIRS) offers an alternative to conventional analytical methods to estimate various soil attributes. However, the use of VNIRS in soi... ... Repository: BDPA Publication year: 2011
A multicriteria climatic classification system for grape-growing regions worldwide. Author(s): TONIETTO, J.; CARBONNEAU, A. resumo Este estudo refere-se em primeiro lugar, a metodologia para descrever o clima de vinhedos, em uma escala de macroclimate regiões vitícolas em todo o mundo. Três índices climáticos vitícolas sin... ... Repository: BDPA Publication year: 2004
The roles of textural images in improving land-cover classification in the Brazilian Amazon. Author(s): LU, D.; LI, G.; MORAN, E.; DUTRA, L.; BATISTELLA, M. Texture has long been recognized as valuable in improving land-cover classification, but how data from different sensors with varying spatial resolutions affect the selection of textural images is poo... ... Repository: BDPA Publication year: 2014
Brazilian Soil Classification System. Author(s): SANTOS, H. G. dos; JACOMINE, P. K. T; ANJOS, L. H. C. dos; OLIVEIRA, V. A. de; LUMBRERAS, J. F.; COELHO, M. R.; ALMEIDA, J. A. de; ARAUJO FILHO, J. C. de; OLIVEIRA, J. B. de; CUNHA, T. J. F. Diagnostic attributes and other attributes; Diagnostic surface horizons and diagnostic subsurface horizons; Categorical levels of the system, nomenclature of classes, bases and criteria, concept and d... ... Repository: BDPA Publication year: 2018
Automatic classification of soybean diseases based on digital images of leaf symptoms. Author(s): BARBEDO, J. G. A.; GODOY, C. V. ABSTRACT; This paper presents an algorithm for automatic classification of diseases that produce symptoms in soybean leaves. The algorithm is based on digital image processing techniques and on a modi... ... Repository: BDPA Publication year: 2015
A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region. Author(s): LI, G.; LU, D.; DUTRA, L.; BATISTELLA, M. This paper explores the use of ALOS (Advanced Land Observing Satellite) PALSARL-band (Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 C-band data for land-cover classification in a t... ... Repository: BDPA Publication year: 2012
Ecological classification of Brazilian earthworms: a first attempt using morphological data. Author(s): ANDRADE, D. P. de; BROWN, G. G.; CALLAHAM JÚNIOR, M. A. Repository: BDPA Publication year: 2010
Using linear algebra for protein structural comparison and classification. Author(s): GOMIDE, J.; MELO-MINARDI, R.; SANTOS, M. A. dos; NESHICH, G.; MEIRA JUNIOR, W.; LOPES, J. C.; SANTORO, M. In this article, we describe a novel methodology to extract semantic characteristics from protein structures using linear algebra in order to compose structural signature vectors which may be used eff... ... Repository: BDPA Publication year: 2009
Predicting enzyme class from protein structure using Bayesian classification. Author(s): BORRO, L. C.; OLIVEIRA, S. R. M.; YAMAGISHI, M. E. B.; MANCINI, A. L.; JARDINE, J. G.; MAZONI, I.; SANTOS, E. H. dos; HIGA, R. H.; KUSER, P. R.; NESHICH, G. ABSTRACT. Predicting enzyme class from protein structure parameters is a challenging problem in protein analysis. We developed a method to predict enzyme class that combines the strengths of statistic... ... Repository: BDPA Publication year: 2006

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