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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
02/12/2019 |
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Data da última atualização: |
03/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CHIARELLO, F.; STEINER, M. T. A.; OLIVEIRA, E. B. de; ARCE, J. E.; FERREIRA, J. C. |
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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. |
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Título: |
Artificial neural networks applied in forest biometrics and modeling: state of the art (January/2007 to July/2018). |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Cerne, v. 25 n. 2, p. 140-155, Apr./June 2019. |
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DOI: |
10.1590/01047760201925022626 |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Bibliometric Review; Forest Engineering Problems; Inteligência artificial; Multilayer Perceptron; Revisão Bibliométrica; Revisão sistemática. |
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Thesaurus Nal: |
Artificial intelligence; Systematic review. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205952/1/2019-Edilson-Cerne-Artificial.pdf
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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.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca |
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Origem |
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Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
14/02/2012 |
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Data da última atualização: |
19/01/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MIURA, A. K.; FORMAGGIO, A. R.; SHIMABUKURO, Y. E.; LUIZ, A. J. B.; ANJOS, S. D. dos. |
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Afiliação: |
ADALBERTO KOITI MIURA, CPACT; ANTONIO ROBERTO FORMAGGIO, INPE; YOSIO EDEMIR SHIMABUKURO, INPE; ALFREDO JOSE BARRETO LUIZ, CNPMA; SERGIO DELMAR DOS ANJOS E SILVA, CPACT. |
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Título: |
Potencial das áreas disponíveis ao cultivo de biomassa para produção de energia, nas Microrregiões Sulriograndenses de Cerro Largo, Santa Rosa e Santo Ângelo. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011. 1 CD-ROM. |
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Idioma: |
Português |
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Conteúdo: |
Despite a kind of euphoria represented by the biomass farming to energy and its transformation into biofuels, it must weigh up the suitability and the convenience of the conversion of arable land and the new agricultural frontiers in areas intended for agroenergy, not only in economic and agronomic terms, but also considering the commitments of environmental and social sustainability. In this scenario, the agroenergy planning has a great importance for the tropical developing countries, like Brazil. Thus, this article aims to present an objective and semiautomatic method, based on geotechnologies, which could be applied to a given region of interest to return the available areas with potential to energy crops. As a result, is presented a map of three micro regions of Rio Grande do Sul state (Brazil), where this approach was tested, for identifying and quantifying the territories at different levels of agroenergetic potential. |
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Palavras-Chave: |
Agroenergia; Geotecnologia; Planejamento territorial. |
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Thesagro: |
Biomassa; Planejamento agrícola; Sensoriamento remoto; Sistema de Informação Geográfica. |
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Thesaurus NAL: |
Geographic information systems; Land use planning; Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/54087/1/2011AA11.pdf
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Marc: |
LEADER 01954nam a2200277 a 4500
001 1915428
005 2023-01-19
008 2011 bl uuuu u00u1 u #d
100 1 $aMIURA, A. K.
245 $aPotencial das áreas disponíveis ao cultivo de biomassa para produção de energia, nas Microrregiões Sulriograndenses de Cerro Largo, Santa Rosa e Santo Ângelo.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011. 1 CD-ROM.$c2011
520 $aDespite a kind of euphoria represented by the biomass farming to energy and its transformation into biofuels, it must weigh up the suitability and the convenience of the conversion of arable land and the new agricultural frontiers in areas intended for agroenergy, not only in economic and agronomic terms, but also considering the commitments of environmental and social sustainability. In this scenario, the agroenergy planning has a great importance for the tropical developing countries, like Brazil. Thus, this article aims to present an objective and semiautomatic method, based on geotechnologies, which could be applied to a given region of interest to return the available areas with potential to energy crops. As a result, is presented a map of three micro regions of Rio Grande do Sul state (Brazil), where this approach was tested, for identifying and quantifying the territories at different levels of agroenergetic potential.
650 $aGeographic information systems
650 $aLand use planning
650 $aRemote sensing
650 $aBiomassa
650 $aPlanejamento agrícola
650 $aSensoriamento remoto
650 $aSistema de Informação Geográfica
653 $aAgroenergia
653 $aGeotecnologia
653 $aPlanejamento territorial
700 1 $aFORMAGGIO, A. R.
700 1 $aSHIMABUKURO, Y. E.
700 1 $aLUIZ, A. J. B.
700 1 $aANJOS, S. D. dos
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Embrapa Meio Ambiente (CNPMA) |
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