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| Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
24/10/1995 |
Data da última atualização: |
06/11/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
WEBER, V. A. M.; WEBER, F. de L.; OLIVEIRA, A. da S.; ASTOLFI, G.; MENEZES, G. V.; PORTO, J. V. de A.; REZENDE, F. P. C.; MORAES, P. H. de; MATSUBARA, E. T.; MATEUS, R. G.; ARAÚJO, T. L. A. C. de; SILVA, L. O. C. da; QUEIROZ, E. Q, A. de; ABREU, U. G. P. de; GOMES, R. da C.; PISTORI, H. |
Afiliação: |
VANESSA APARECIDA MORAES WEBER, Universidade Católica Dom Bosco, UCDB; FABRICIO DE LIMA WEBER, ederal University of Mato Grosso do Sul, UFMS; ADAIR DA SILVA OLIVEIRA, Federal University of Mato Grosso do Sul, UFMS; GILBERTO ASTOLFI, Federal University of Mato Grosso do Sul, UFMS; GEAZY VILHARVA MENEZES, Federal University of Mato Grosso do Sul, UFMS; JOÃO VITOR DE ANDRADE PORTO, Universidade Católica Dom Bosco, UCDB; FÁBIO PRESTES CESAR REZENDE, Universidade Católica Dom Bosco, UCDB; PEDRO HENRIQUE DE MORAES, Federal University of Mato Grosso do Sul, UFMS; EDSON TAKASHI MATSUBARA, Federal University of Mato Grosso do Sul, UFMS; RODRIGO GONÇALVES MATEUS, Universidade Catolica Dom Bosco, UCDB; THIAGO LUÍS ALVES CAMPOS DE ARAÚJO, Federal University of Ceara, UFC; LUIZ OTAVIO CAMPOS DA SILVA, Federal University of Ceara, UFC; EDUARDO QUIRINO ARGUELHO DE QUEIROZ, Universidade Catolica Dom Bosco, UCDB; URBANO GOMES PINTO DE ABREU, CPAP; RODRIGO DA COSTA GOMES, Federal Institute of Education, Science and Technology of Mato Grosso do Sul, IFMS; HEMERSON PISTORI, Universidade Catolica Dom Bosco, UCDB. |
Título: |
Cattle weight estimation using active contour models and regression trees Bagging . |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Computers and Electronics in Agriculture, v.179, 105804, p. 1-12, dec, 2020. |
Idioma: |
Português |
Conteúdo: |
Monitoring the weight of beef cattle is important for productive strategies. The main goal of this work was to automatically extract measurements from 2D images of the dorsal area of Nellore cattle to estimate the weight of these cattle using regression algorithms. For this purpose, Euclidean distances from points generated by the Active Contour Model, together with features obtained from the dorsal Convex Hull, were selected. These were submitted to Bagging, Regression by Discretization and Random Forest algorithms for analysis of the predicted error metrics. The Bagging algorithm showed the best results, with Mean Absolute Error (MAE) of 13.44 kg (2.76), Square Root of the Mean Error (RMSE) of 15.88 kg (2.86), Mean Absolute Percentage Error (MAPE) of 2.27% and correlation coefficient at 0.75. |
Thesagro: |
Gado de Corte; Ganho de Peso; Pecuária. |
Thesaurus Nal: |
Computer vision; Livestock production; Weight control. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 01897naa a2200373 a 4500 001 1786948 005 2020-11-06 008 2020 bl uuuu u00u1 u #d 100 1 $aWEBER, V. A. M. 245 $aCattle weight estimation using active contour models and regression trees Bagging .$h[electronic resource] 260 $c2020 520 $aMonitoring the weight of beef cattle is important for productive strategies. The main goal of this work was to automatically extract measurements from 2D images of the dorsal area of Nellore cattle to estimate the weight of these cattle using regression algorithms. For this purpose, Euclidean distances from points generated by the Active Contour Model, together with features obtained from the dorsal Convex Hull, were selected. These were submitted to Bagging, Regression by Discretization and Random Forest algorithms for analysis of the predicted error metrics. The Bagging algorithm showed the best results, with Mean Absolute Error (MAE) of 13.44 kg (2.76), Square Root of the Mean Error (RMSE) of 15.88 kg (2.86), Mean Absolute Percentage Error (MAPE) of 2.27% and correlation coefficient at 0.75. 650 $aComputer vision 650 $aLivestock production 650 $aWeight control 650 $aGado de Corte 650 $aGanho de Peso 650 $aPecuária 700 1 $aWEBER, F. de L. 700 1 $aOLIVEIRA, A. da S. 700 1 $aASTOLFI, G. 700 1 $aMENEZES, G. V. 700 1 $aPORTO, J. V. de A. 700 1 $aREZENDE, F. P. C. 700 1 $aMORAES, P. H. de 700 1 $aMATSUBARA, E. T. 700 1 $aMATEUS, R. G. 700 1 $aARAÚJO, T. L. A. C. de 700 1 $aSILVA, L. O. C. da 700 1 $aQUEIROZ, E. Q, A. de 700 1 $aABREU, U. G. P. de 700 1 $aGOMES, R. da C. 700 1 $aPISTORI, H. 773 $tComputers and Electronics in Agriculture$gv.179, 105804, p. 1-12, dec, 2020.
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| Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
19/01/2006 |
Data da última atualização: |
08/12/2006 |
Autoria: |
AZEVEDO, M. dos S.; TEIXEIRA, K. R. dos S.; KIRCHHOF, G.; HARTMANN, A.; BALDANI, J. I. |
Título: |
Influence of soil and host plant crop on the genetic diversity of Azospirillum amazonense isolates. |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
Pedobiologia, Jena, v. 49, n. 6, p. 565-576, nov. 2005. |
Idioma: |
Inglês |
Conteúdo: |
The genetic structure of Azospirillum amazonense populations isolated from the rhizosphere soil and washed and surface-sterilised roots of rice, maize and sorghum plants, cropped silmultaneously in two different soils (clay loam and sandy loam) was characterised. Genetic diversity was measured by restriction fragment length polymorphism of the amplified 16S-23S rDNA intergenic spacer region (RISA-RFLP) and cluster analysis. Four genetically distinct clusters of isolates were observed with 78% similarity, suggesting that the A. amazonense population was heterogeneous at the strain level regardless of the soil type or host plant. Analysis of molecular variance (AMOVA) demonstrated that the host plant had a highly significant selective effect on the genetic structure of this species, especially on those isolates intimately associated with them, but also to a lesser extent on isolates from the rhizosphere and washed roots. The soil type also had a highly significant selective effect on A. amazonense genetic diversity, especially for those isolates from the rhizosphere soil. The selective effect of the soil type combined with that of the host plant suggests that environmental factors, such as soil texture and composition of exudates provided by C3 or C4 plants, play major roles in the overall genetic structure of A. amazonense populations associated with these cereals. |
Palavras-Chave: |
A; amazonense; Biological nitrogen fixation; BNF; FBN; Fixação biológica de nitrogênio; Soil type; Tipo de solo. |
Thesagro: |
Bactéria. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02160naa a2200277 a 4500 001 1624128 005 2006-12-08 008 2005 bl --- 0-- u #d 100 1 $aAZEVEDO, M. dos S. 245 $aInfluence of soil and host plant crop on the genetic diversity of Azospirillum amazonense isolates. 260 $c2005 520 $aThe genetic structure of Azospirillum amazonense populations isolated from the rhizosphere soil and washed and surface-sterilised roots of rice, maize and sorghum plants, cropped silmultaneously in two different soils (clay loam and sandy loam) was characterised. Genetic diversity was measured by restriction fragment length polymorphism of the amplified 16S-23S rDNA intergenic spacer region (RISA-RFLP) and cluster analysis. Four genetically distinct clusters of isolates were observed with 78% similarity, suggesting that the A. amazonense population was heterogeneous at the strain level regardless of the soil type or host plant. Analysis of molecular variance (AMOVA) demonstrated that the host plant had a highly significant selective effect on the genetic structure of this species, especially on those isolates intimately associated with them, but also to a lesser extent on isolates from the rhizosphere and washed roots. The soil type also had a highly significant selective effect on A. amazonense genetic diversity, especially for those isolates from the rhizosphere soil. The selective effect of the soil type combined with that of the host plant suggests that environmental factors, such as soil texture and composition of exudates provided by C3 or C4 plants, play major roles in the overall genetic structure of A. amazonense populations associated with these cereals. 650 $aBactéria 653 $aA 653 $aamazonense 653 $aBiological nitrogen fixation 653 $aBNF 653 $aFBN 653 $aFixação biológica de nitrogênio 653 $aSoil type 653 $aTipo de solo 700 1 $aTEIXEIRA, K. R. dos S. 700 1 $aKIRCHHOF, G. 700 1 $aHARTMANN, A. 700 1 $aBALDANI, J. I. 773 $tPedobiologia, Jena$gv. 49, n. 6, p. 565-576, nov. 2005.
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