Artificial Neural Networks To Distinguish Charcoal from Eucalyptus and Native Forests Based on Their Mineral Components-Reference-Cited by-同舟云学术

Artificial Neural Networks To Distinguish Charcoal from Eucalyptus and Native Forests Based on Their Mineral Components

Published:2020-07-21 Issue:8 Volume:34 Page:9599-9608
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Ramalho Fernanda Maria Guedes¹^ORCID,Carvalho Geila Santos²,Hein Paulo Ricardo Gherardi¹,Napoli Alfredo³,Wojcieszak Robert⁴^ORCID,Guilherme Luiz Roberto Guimarães²

Affiliation:

1. Departamento de Ciências Florestais, Universidade Federal de Lavras, 37200-900 Lavras - MG, Brazil

2. Departamento de Ciência do Solo, Universidade Federal de Lavras, 37200-900 Lavras - MG, Brazil

3. Département Persyst, CIRAD UR BioWooEB, F-34398, Montpellier, France

4. Univ. Lille, CNRS, Centrale Lille, ENSCL, Univ. Artois, UMR 8181 - UCCS - Unité de Catalyse et Chimie du Solide, F-59000, Lille, France

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Universidade Federal de Lavras

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo a` Pesquisa do Estado de Minas Gerais

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.0c01034

Reference44 articles.

1. Food and Agriculture Organization of the United Nations – FAOSTAT, 2018. < http://www.fao.org/faostat/en/?fbclid=IwAR1gUfu0vo4mPZDzxUTkxUu092Aq1-Shp1DEpMPtdFAZ3JQXS0aVvlk0N5c#data/FO/visualize>

2. WOOD AND CHARCOAL ANATOMY OF FOUR MYRTACEAE SPECIES

3. BRASIL. 2013. Legislação brasileira sobre meio ambiente. Brasília: Câmara dos Deputados, Edições Câmara, Série e legislação 105, Caderno 3 - Temas Internacionais, 186 pp.

4. Instituto Brasileiro de Geografia e Estatística (IBGE). Produção da Extração Vegetal e da Silvicultura, Vol. 31; IBGE: Rio de Janeiro, Brazil, 2016; 54 pp.

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