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

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

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

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

Author(s): PEREIRA, M. G.; VALLADARES, G. S.; ANJOS, L. H. C.; EBELING, A. G.; BENITES, V. de M.

Repository: BDPA     Publication year: 2006

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

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

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

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

Author(s): ANDRADE, D. P. de; BROWN, G. G.; CALLAHAM JÚNIOR, M. A.

Repository: BDPA     Publication year: 2010