| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Florestas. |
|
Data corrente: |
02/12/2019 |
|
Data da última atualização: |
03/12/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
CHIARELLO, F.; STEINER, M. T. A.; OLIVEIRA, E. B. de; ARCE, J. E.; FERREIRA, J. C. |
|
Afiliação: |
Flávio Chiarello, PUC-PR; Maria Teresinha Arns Steiner, PUC-PR; EDILSON BATISTA DE OLIVEIRA, CNPF; Júlio Eduardo Arce, UFPR; Júlio César Ferreira, PUC-PR. |
|
Título: |
Artificial neural networks applied in forest biometrics and modeling: state of the art (January/2007 to July/2018). |
|
Ano de publicação: |
2019 |
|
Fonte/Imprenta: |
Cerne, v. 25 n. 2, p. 140-155, Apr./June 2019. |
|
DOI: |
10.1590/01047760201925022626 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Artificial Intelligence has been an important support tool in different spheres of activity, enabling knowledge aggregation, process optimization and the application of methodologies capable of solving complex real problems. Despite focusing on a wide range of successful metrics, the Artificial Neural Network (ANN) approach, a technique similar to the central nervous system, has gained notoriety and relevance with regard to the classification of standards, intrinsic parameter estimates, remote sense, data mining and other possibilities. This article aims to conduct a systematic review, involving some bibliometric aspects, to detect the application of ANNs in the field of Forest Engineering, particularly in the prognosis of the essential parameters for forest inventory, analyzing the construction of the scopes, implementation of networks (type ? classification), the software used and complementary techniques. Of the 1,140 articles collected from three research databases (Science Direct, Scopus and Web of Science), 43 articles underwent these analyses. The results show that the number of works within this scope has increased continuously, with 32% of the analyzed articles predicting the final total marketable volume, 78% making use of Multilayer Perceptron Networks (MLP, Multilayer Perceptron) and 63% from Brazilian researchers. |
|
Palavras-Chave: |
Bibliometric Review; Forest Engineering Problems; Inteligência artificial; Multilayer Perceptron; Revisão Bibliométrica; Revisão sistemática. |
|
Thesaurus Nal: |
Artificial intelligence; Systematic review. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205952/1/2019-Edilson-Cerne-Artificial.pdf
|
|
Marc: |
LEADER 02246naa a2200277 a 4500
001 2115699
005 2019-12-03
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1590/01047760201925022626$2DOI
100 1 $aCHIARELLO, F.
245 $aArtificial neural networks applied in forest biometrics and modeling$bstate of the art (January/2007 to July/2018).$h[electronic resource]
260 $c2019
520 $aArtificial Intelligence has been an important support tool in different spheres of activity, enabling knowledge aggregation, process optimization and the application of methodologies capable of solving complex real problems. Despite focusing on a wide range of successful metrics, the Artificial Neural Network (ANN) approach, a technique similar to the central nervous system, has gained notoriety and relevance with regard to the classification of standards, intrinsic parameter estimates, remote sense, data mining and other possibilities. This article aims to conduct a systematic review, involving some bibliometric aspects, to detect the application of ANNs in the field of Forest Engineering, particularly in the prognosis of the essential parameters for forest inventory, analyzing the construction of the scopes, implementation of networks (type ? classification), the software used and complementary techniques. Of the 1,140 articles collected from three research databases (Science Direct, Scopus and Web of Science), 43 articles underwent these analyses. The results show that the number of works within this scope has increased continuously, with 32% of the analyzed articles predicting the final total marketable volume, 78% making use of Multilayer Perceptron Networks (MLP, Multilayer Perceptron) and 63% from Brazilian researchers.
650 $aArtificial intelligence
650 $aSystematic review
653 $aBibliometric Review
653 $aForest Engineering Problems
653 $aInteligência artificial
653 $aMultilayer Perceptron
653 $aRevisão Bibliométrica
653 $aRevisão sistemática
700 1 $aSTEINER, M. T. A.
700 1 $aOLIVEIRA, E. B. de
700 1 $aARCE, J. E.
700 1 $aFERREIRA, J. C.
773 $tCerne$gv. 25 n. 2, p. 140-155, Apr./June 2019.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Florestas (CNPF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Clima Temperado. Para informações adicionais entre em contato com cpact.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Clima Temperado. |
|
Data corrente: |
17/03/2021 |
|
Data da última atualização: |
19/03/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 1 |
|
Autoria: |
MOREIRA, M. M.; CARRIJO, T.; ALVES-ARAÚJO, A. G.; RAPINI, A.; SALINO, A.; FIRMINO, A. D.; CHAGAS, A. P.; VERSIANE, A. F. A.; AMORIM, A. M. A.; SILVA, A. V. S. DA; TULER, A. C.; PEIXOTO, A. L.; SOARES, B. S.; COSENZA, B. A. P.; DELGADO, C. N.; LOPES, C. R.; SILVA, C.; BARBOSA, D. E. F.; MONTEIRO, D.; MARQUES, D.; COUTO, D. R.; GONZAGA, D. R.; DALCIN, E.; LIRIO, E. J. de; MEYER, F. S.; SALIMENA, F. R. G.; OLIVEIRA, F. A.; SOUZA, F. S.; MATOS, F. B.; DEPIANTTI, G.; ANTAR, G. M.; HEIDEN, G.; DIAS, H. M.; SOUSA, H. C. F.; LOPES, I. T. F. V.; ROLLIM, I. M.; LUBER, J.; PRADO, J.; NAKAJIMA, J. N.; LANNA, J. |
|
Afiliação: |
MARINA MUNIZ MOREIRA, UNIVERSIDADE FEDERAL DO ESPÍRITO SANTO; TATIANA CARRIJO, UNIVERSIDADE FEDERAL DO ESPÍRITO SANTO; ANDERSON G. ALVES-ARAÚJO, UNIVERSIDADE FEDERAL DO ESPÍRITO SANTO; ALESSANDRO RAPINI, UNIVERSIDADE ESTADUAL DE FEIRA DE SANTANA; ALEXANDRE SALINO, UNIVERSIDADE FEDERAL DE MINAS GERAIS; ALINE D. FIRMINO, FUNDAÇÃO ESPÍRITO-SANTENSE DE TECNOLOGIA; ALINE P. CHAGAS, SECRETARIA DE DESENVOLVIMENTO DA CIDADE E MEIO AMBIENTE, CARIACICA; ANA F. A. VERSIANE, UNIVERSIDADE ESTADUAL DE CAMPINAS; ANDRÉ M. A. AMORIM, UNIVERSIDADE ESTADUAL DE SANTA CRUZ; ANDREWS V. S. DA SILVA, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO; AMÉLIA C. TULER, UNIVERSIDADE FEDERAL DO ESPÍRITO SANTO; ARIANE L. PEIXOTO; BETHINA S. SOARES; BRAZ A. P. COSENZA; CAMILA N. DELGADO; CLAUDIA R. LOPES; CHRISTIAN SILVA; DANIEL E. F. BARBOSA; DANIELE MONTEIRO; DANILO MARQUES; DAYVID R. COUTO; DIEGO R. GONZAGA; EDUARDO DALCIN; ELTON JOHN DE LIRIO; FABRÍCIO S. MEYER; FÁTIMA R. G. SALIMENA; FELIPE A. OLIVEIRA; FILIPE S. SOUZA; FERNANDO B. MATOS; GABRIEL DEPIANTTI; GUILHERME M. ANTAR; GUSTAVO HEIDEN, CPACT; HENRIQUE M. DIAS; HIAN C. F. SOUSA; ISABEL T. F. V. LOPES; ISIS M. ROLLIM; JAQUELINI LUBER; JEFFERSON PRADO; JIMI N. NAKAJIMA; JOÃO LANNA. |
|
Título: |
A list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Biodiversity Data Journal, 8, e59664, 2020. |
|
DOI: |
10.3897/BDJ.8.e59664 |
|
Idioma: |
Inglês |
|
Notas: |
Data Paper. |
|
Conteúdo: |
Brazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity. A list of land plants of ?Parque Nacional do Caparaó? (PNC) was previously built using online databases and published on the website "Catálogo de Plantas das Unidades de Conservação do Brasil." Here, we provide and discuss additional information about plant species richness, endemism and conservation in the PNC that could not be included in the List. We documented 1,791 species of land plants as occurring in PNC, of which 63 are cited as threatened (CR, EN or VU) by the Brazilian National Red List, seven as data deficient (DD) and five as priorities for conservation. Fifity-one species were possible new ocurrences for ES and MG states. |
|
Palavras-Chave: |
Atlantic Forest. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 02722naa a2200625 a 4500
001 2130753
005 2021-03-19
008 2020 bl uuuu u00u1 u #d
024 7 $a10.3897/BDJ.8.e59664$2DOI
100 1 $aMOREIRA, M. M.
245 $aA list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area.$h[electronic resource]
260 $c2020
500 $aData Paper.
520 $aBrazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity. A list of land plants of ?Parque Nacional do Caparaó? (PNC) was previously built using online databases and published on the website "Catálogo de Plantas das Unidades de Conservação do Brasil." Here, we provide and discuss additional information about plant species richness, endemism and conservation in the PNC that could not be included in the List. We documented 1,791 species of land plants as occurring in PNC, of which 63 are cited as threatened (CR, EN or VU) by the Brazilian National Red List, seven as data deficient (DD) and five as priorities for conservation. Fifity-one species were possible new ocurrences for ES and MG states.
653 $aAtlantic Forest
700 1 $aCARRIJO, T.
700 1 $aALVES-ARAÚJO, A. G.
700 1 $aRAPINI, A.
700 1 $aSALINO, A.
700 1 $aFIRMINO, A. D.
700 1 $aCHAGAS, A. P.
700 1 $aVERSIANE, A. F. A.
700 1 $aAMORIM, A. M. A.
700 1 $aSILVA, A. V. S. DA
700 1 $aTULER, A. C.
700 1 $aPEIXOTO, A. L.
700 1 $aSOARES, B. S.
700 1 $aCOSENZA, B. A. P.
700 1 $aDELGADO, C. N.
700 1 $aLOPES, C. R.
700 1 $aSILVA, C.
700 1 $aBARBOSA, D. E. F.
700 1 $aMONTEIRO, D.
700 1 $aMARQUES, D.
700 1 $aCOUTO, D. R.
700 1 $aGONZAGA, D. R.
700 1 $aDALCIN, E.
700 1 $aLIRIO, E. J. de
700 1 $aMEYER, F. S.
700 1 $aSALIMENA, F. R. G.
700 1 $aOLIVEIRA, F. A.
700 1 $aSOUZA, F. S.
700 1 $aMATOS, F. B.
700 1 $aDEPIANTTI, G.
700 1 $aANTAR, G. M.
700 1 $aHEIDEN, G.
700 1 $aDIAS, H. M.
700 1 $aSOUSA, H. C. F.
700 1 $aLOPES, I. T. F. V.
700 1 $aROLLIM, I. M.
700 1 $aLUBER, J.
700 1 $aPRADO, J.
700 1 $aNAKAJIMA, J. N.
700 1 $aLANNA, J.
773 $tBiodiversity Data Journal, 8, e59664, 2020.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Clima Temperado (CPACT) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
