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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
Development of an expert system for classification of Brazilian soil profiles. Author(s): VAZ, G. J.; SILVA NETO, L. de F. da; OLIVEIRA, S. R. de M.; BOTELHO, F. P.; ARAUJO FILHO, J. C. de The Brazilian Soil Classification System (BSCS) is the official taxonomic system for soil classification in Brazil. With the collaboration of professionals from several research and teaching instituti... ... Repository: BDPA Publication year: 2018
SmartSolos expert: an expert system for Brazilian soil classification. Author(s): VAZ, G. J.; SILVA NETO, L. de F. da; BARBEDO, J. G. A. We have developed an expert system for Brazilian soil classification according to the official taxonomic system in Brazil. It assists in improving soil data quality, which is important for sustainable... ... Repository: BDPA Publication year: 2025
Advances in legume systematics 14. Classification of Caesalpinioideae. Part 2: Higher-level classification. Author(s): BRUNEAU, A.; QUEIROZ, L. P. de; RINGELBERG, J. J.; BORGES, L. M.; BORTOLUZZI, R. L. da C.; BROWN, G. K.; CARDOSO, D. B. O. S.; CLARK, R. P.; CONCEIÇÃO, A. de S.; COTA, M. M. T.; DEMEULENAERE, E.; STEFANO, R. D. de; EBINGER, J. E.; FERM, J.; FONSECA-CORTÉS, A.; GAGNON, E.; GRETHER, R.; GUERRA, E.; HASTON, E.; HERENDEEN, P. S.; HERNÁNDEZ, H. M.; HOPKINS, H. C. F.; HUAMANTUPA-CHUQUIMACO, I.; HUGHES, C. E.; ICKERT-BOND, S. M.; IGANCI, J.; KOENEN, E. J. M.; LEWIS, G. P.; LIMA, H. C. de; LIMA, A. G. de; LUCKOW, M.; MARAZZI, B.; MASLIN, B. R.; MORALES, M.; MORIM, M. P.; MURPHY, D. J.; O’DONNELL, S. A.; OLIVEIRA, F. G.; OLIVEIRA, A. C. da S.; RANDO, J. G.; RIBEIRO, P. G.; RIBEIRO, C. L.; SANTOS, F. da S.; SEIGLER, D. S.; SILVA, G. S. da; SIMON, M. F.; SOARES, M. V. B.; TERRA, V. Caesalpinioideae is the second largest subfamily of legumes (Leguminosae) with ca. 4680 species and 163 genera. It is an ecologically and economically important group formed of mostly woody perennials... ... Repository: BDPA Publication year: 2024
Characterization of histosol: proposal to the brazilian soil classification system. Author(s): PEREIRA, M. G.; VALLADARES, G. S.; ANJOS, L. H. C.; EBELING, A. G.; BENITES, V. de M. Repository: BDPA Publication year: 2006
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
Automatic classification of soybean diseases based on digital images of leaf symptoms. Author(s): BARBEDO, J. G. A.; GODOY, C. V. This paper presents an algorithm for automatic classification of diseases that produce symptons in soybean leaves. Repository: BDPA Publication year: 2015
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
Preprocessing procedures and supervised classification applied to a database of systematic soil survey. Author(s): VALADARES, A. P.; COELHO, R. M.; OLIVEIRA, S. R. de M. ABSTRACT:Data Mining techniques play an important role in the prediction of soil spatial distribution in systematic soil surveying, though existing methodologies still lack standardization and a full... ... Repository: BDPA Publication year: 2019
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

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