Skip to Content 1
Ir para o menu 2
Ir para a busca 3

Portal Embrapa

Language Language

português English
Entrar

Search Publications

Sort by: date | alphabetically


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
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
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
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
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
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
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

Showing 1 - 10 of 478 results.

Observation

Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.

Access other publications

Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.