Consulta: (autoria:"OWENS, P. R.")
Registros recuperados: 5
Data/hora: 09/06/2024 15:30:14

PINHEIRO, H. S. K.; OWENS, P. R.; CHAGAS, C. S.; CARVALHO JUNIOR, W.; ANJOS, L. H. C. Applying artificial neural networks utilizing geomorphons to predict soil classes in a brazilian watershed. In: ZHANG, G.-L.; BRUS, D.; LIU, F.; SONG, X.-D.; LAGACHERIE, P. (Ed.). Digital soil mapping across paradigms, scales and boundaries. New York: Springer, 2016. cap. 8, p. 89-102.
Biblioteca(s): Embrapa Solos.

PINHEIRA, H.; OWENS, P. R.; ANJOS, L. H. C. dos; CARVALHO JUNIOR, W. de; CHAGAS, C. da S. Prediction of mineral soil fraction through regressions trees and multiple (linear) regressions. In: INAUGURAL GLOBAL WORKSHOP ON DIGITAL SOIL MORPHOMETRICS, 2015, Madison. Abstracts... Madison: University of Wisconsin, 2015.
URL: https://ainfo.cnptia.embrapa.br/digital/bitstream/item/139230/1/2015-211.pdf
Biblioteca(s): Embrapa Solos.

PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S.; ANJOS, L. H. C. dos; OWENS, P. R. Prediction of topsoil texture through regression trees and multiple linear regressions. Revista Brasileira de Ciência do Solo, v. 42, article e0170167, 2018.
URL: https://ainfo.cnptia.embrapa.br/digital/bitstream/item/174786/1/2018-010.pdf
Biblioteca(s): Embrapa Solos.

PINHEIRO, H. S. K.; OWENS, P. R.; ANJOS, L. H. C.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S. Tree-based techniques to predict soil units. Soil Research, v. 55, n. 8, p. 788-798, 2017.
Biblioteca(s): Embrapa Solos.

PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S.; ANJOS, L. H. C. dos; OWENS, P. R. Using soil depth functions to distinguish dystric from xanthic ferralsols in the landscape. In: HARTEMINK, A. E.; MINASNY, B. (Ed.). Digital soil morphometrics. New York: Springer, 2016. pt. 3, cap. 19, p. 295-313.
Biblioteca(s): Embrapa Solos.