Search Publications
Filter by:
Author(s): TAVARES, O. C. H.; TAVARES, T. R.; PINHEIRO JUNIOR, C. R.; SILVA, L. M. da; WADT, P. G. S.; PEREIRA, M. G. The southwestern region of the Amazon has great environmental variability, presents a great complexity of pedoenvironments due to its rich variability of geological and geomorphological environments,... ... |
Author(s): PINHEIRO, H. S. K.; XAVIER, P. A. M.; ANJOS, L. H. C. dos; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de Brazilian semi-arid region is a recent frontier in the country for agribusiness. The objective of this study is to apply pedometric tools to zoning areas with distinct potential and limitations to agr... ... |
Author(s): PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Pedometrics: innovation in tropics; Legacy data: how turn it useful?; Advances in soil sensing; Pedometric guidelines to systematic soil surveys. |
Author(s): XAVIER, P. A. M.; ANJOS, L. H. C. dos; PINHEIRO, H. S. K.; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de The objective of this study is to point out similarities between soils from a collection of 19 profiles, sampled in the state of Mato Grosso do Sul, latitude 20º26'34 "South and longitude 54 ° 38'47"... ... |
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... ... |
Author(s): RODRIGUES, N. B.; SILVA, J. C. L. da; PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de The study aimed to evaluate the performance of Multivariate Adaptive Regression Spline (MARS), Radial Support Vector Machine (svmRadial) and Random Forest (RF) models to predict the spatial distributi... ... |
Author(s): RODRIGUES, N.; RODRIGUES, H.; MANCINI, M.; PINHEIRO, H.; CARVALHO JUNIOR, W. de; LIBOHOVA, Z.; OWENS, P. The goal was to study the laterization process undergoing on a rare siderite carbonatite parent material by assessing the spatial distribution of Fe2O3, Nb, TiO2, and W using machine learning. |
Author(s): RODRIGUES, N. B.; SILVA, J. C. L. da; SILVA, R. P. M. da; PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de Conceitos em pedometria e técnicas de Machine Learning são cada vez mais utilizados na execução de levantamentos de solos, empregando procedimentos de mapeamento digital de solos. O objetivo do estudo... ... |
Author(s): SAMUEL-ROSA, A.; DALMOLIN, R. S. D.; MOURA-BRUNO, J. M.; TEIXEIRA, W. G.; FILIPPINI ALBA, J. M. Spatial soil data applications require sound geospatial data including coordinates and a coordinate reference system. However, when it comes to legacy soil data we frequently find them to be missing o... ... |
Author(s): LIMA, L. A. de S.; NEUMANN, M. R. B; BRAGA, A. R. dos S.; ROIG, H. L.
|
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.