Parent material distribution mapping from tropical soils data via machine learning and portable X-ray fluorescence (pXRF) spectrometry in Brazil

Marcelo Mancini; David Weindorf; Sérgio Henrique Silva; Somsubhra Chakraborty; Anita Fernanda Teixeira; Luiz Roberto Guilherme; Nilton Curi

Parent material distribution mapping from tropical soils data via machine learning and portable X-ray fluorescence (pXRF) spectrometry in Brazil

Marcelo Mancini, David Weindorf, Sérgio Henrique Silva, Somsubhra Chakraborty, Anita Fernanda Teixeira, Luiz Roberto Guilherme, Nilton Curi

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Default journal
State	Published - Nov 15 2019

Cite this

@article{cb890f39633f40b98f00fe3f6a99cfe0,

title = "Parent material distribution mapping from tropical soils data via machine learning and portable X-ray fluorescence (pXRF) spectrometry in Brazil",

author = "Marcelo Mancini and David Weindorf and Silva, {S{\'e}rgio Henrique} and Somsubhra Chakraborty and Teixeira, {Anita Fernanda} and Guilherme, {Luiz Roberto} and Nilton Curi",

year = "2019",

month = nov,

day = "15",

language = "English",

journal = "Default journal",

publisher = "Current Opinion in Endocrinology Diabetes and Obesity",

}

TY - JOUR

T1 - Parent material distribution mapping from tropical soils data via machine learning and portable X-ray fluorescence (pXRF) spectrometry in Brazil

AU - Mancini, Marcelo

AU - Weindorf, David

AU - Silva, Sérgio Henrique

AU - Chakraborty, Somsubhra

AU - Teixeira, Anita Fernanda

AU - Guilherme, Luiz Roberto

AU - Curi, Nilton

PY - 2019/11/15

Y1 - 2019/11/15

M3 - Article

JO - Default journal

JF - Default journal

ER -

Parent material distribution mapping from tropical soils data via machine learning and portable X-ray fluorescence (pXRF) spectrometry in Brazil

Fingerprint

Cite this