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Gustavo Vieira Veloso

Federal University of Viçosa - Department of Soil Science

Brazil

  • Federal University of Viçosa - Department of Soil Science

SCHOLARLY PAPERS

3

DOWNLOADS

255

TOTAL CITATIONS

1

Scholarly Papers (3)

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1.

Multiple Machine Learning Algorithms and Pedoenvironmental Attributes Applied in Geophysical Surveys

Number of pages: 52 Posted: 16 Feb 2022
Danilo César de Mello, Gustavo Vieira Veloso, Marcos Guedes de Lana, Fellipe Alcantara de Oliveira Mello, Lucas Carvalho Gomes, Diego Ribeiro Oquendo Cabrero, Luis Augusto Di Loreto Di Raimo, Elpídio Inácio Fernandes-Filho, Carlos Ernesto Gonçalves Reyn Schaefer, Jose Alexandre Melo Dematte and Emilson Pereira Leite
Federal University of Viçosa - Department of Soil Science, Federal University of Viçosa - Department of Soil Science, Federal University of Viçosa - Department of Soil Science, University of São Paulo (USP) - Department of Soil Science, affiliation not provided to SSRN, affiliation not provided to SSRN, University of São Paulo (USP) - Department of Soil Science, Universidade Federal de Viçosa (UFV) - Núcleo Terrantar/INCT, Universidade Federal de Viçosa (UFV) - Núcleo Terrantar/INCT, University of São Paulo (USP) - Department of Soil Science and Universidade Estadual de Campinas (UNICAMP) - Geosciences Institute
Downloads 93 (725,554)

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geophysical survey, soil attributes, machine learning algorithm, spatialisation and mapping.

2.

Machine Learning Models for Mapping Potentially Toxic Elements and Assessing Human Health Risk in Soils Affected by Mining Activity

Number of pages: 39 Posted: 25 Aug 2022
Esio de Castro Paes, Gustavo Vieira Veloso, David Lukas Arruda Silva, Elpídio Inácio Fernandes-Filho, Maurício Paulo Ferreira Fontes and Emanuelle Mercês Barros Soares
Federal University of Viçosa - Department of Soil Science, Federal University of Viçosa - Department of Soil Science, Federal University of Viçosa - Department of Soil Science, Universidade Federal de Viçosa (UFV) - Núcleo Terrantar/INCT, Federal University of Viçosa - Department of Soil Science and Federal University of Viçosa - Department of Soil Science
Downloads 88 (753,595)
Citation 1

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Contamination indices, Machine learning modeling, Contaminated soils, Carcinogenic risk

3.

Potential of Plant Species Adapted to Semi-Arid Conditions for Phytoremediation of Contaminated Soils

Number of pages: 32 Posted: 08 Oct 2022
Esio de Castro Paes, Gustavo Vieira Veloso, Manoel Nelson de Castro Filho, Saulo Henrique Barroso, Elpídio Inácio Fernandes-Filho, Maurício Paulo Ferreira Fontes and Emanuelle Mercês Barros Soares
Federal University of Viçosa - Department of Soil Science, Federal University of Viçosa - Department of Soil Science, affiliation not provided to SSRN, affiliation not provided to SSRN, Universidade Federal de Viçosa (UFV) - Núcleo Terrantar/INCT, Federal University of Viçosa - Department of Soil Science and Federal University of Viçosa - Department of Soil Science
Downloads 74 (860,052)

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Contamination. tree species. heavy metals. remediation