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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
18/12/2008 |
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Data da última atualização: |
18/12/2008 |
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Autoria: |
CRUZ, E. S.; CARVALHO, D. F.; VARELLA, C. A. A.; SILVA, L. D. B.; SOUZA, W. E. S.; PINTO, F. A. C. |
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Título: |
Comparação de classificadores de imagens digitais na determinação da cobertura do solo. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Engenharia Agrícola, v.28, n.2, p.237-244, abr./jun., 2008. |
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Descrição Física: |
Fascículo em CD |
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Idioma: |
Português |
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Conteúdo: |
In order to compare two image classifiers for soil cover estimation under both clear
sky conditions and sky with clouds, it was evaluated the soil cover by grass and bean crops cultivated in different densities and tillage systems. The experiment was conducted in four soil loss experimental plots of 22.0 m by 3.5 m, in a Red-yellow argil soil. The four treatments consisted of sowing the velvet bean (Mucuna pruriens), sun hemp (Crotalaria juncea) and corn (Zea mays L.), all three following the contour lines, and corn following the slope line. The plot images were acquired from 15 to 85 days after sowing. The soil cover was estimated by off-shelf software (SIARCS) and a proposed algorithm based on green and red bad reflectance (SEROBIN). The highest soil cover was obtained in the sun hemp plot (85.8%), which was also obtained sooner (56 days after sowing). On the other hand, the lowest soil covers were obtained in both corn plots, following the contour lines and the slope line (38.6 and 35.2%, respectively). The overall classification accuracies were 0.96 for SIARCS and 0.92 for SEROBIN. There was no statistical
difference between the classifiers using the Z test at the 5% significance level. |
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Palavras-Chave: |
digital image processing; soil cover. |
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Thesaurus Nal: |
soil erosion; soil management. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01906naa a2200241 a 4500
001 1276819
005 2008-12-18
008 2008 bl uuuu u00u1 u #d
100 1 $aCRUZ, E. S.
245 $aComparação de classificadores de imagens digitais na determinação da cobertura do solo.
260 $c2008
300 $cFascículo em CD
520 $aIn order to compare two image classifiers for soil cover estimation under both clear sky conditions and sky with clouds, it was evaluated the soil cover by grass and bean crops cultivated in different densities and tillage systems. The experiment was conducted in four soil loss experimental plots of 22.0 m by 3.5 m, in a Red-yellow argil soil. The four treatments consisted of sowing the velvet bean (Mucuna pruriens), sun hemp (Crotalaria juncea) and corn (Zea mays L.), all three following the contour lines, and corn following the slope line. The plot images were acquired from 15 to 85 days after sowing. The soil cover was estimated by off-shelf software (SIARCS) and a proposed algorithm based on green and red bad reflectance (SEROBIN). The highest soil cover was obtained in the sun hemp plot (85.8%), which was also obtained sooner (56 days after sowing). On the other hand, the lowest soil covers were obtained in both corn plots, following the contour lines and the slope line (38.6 and 35.2%, respectively). The overall classification accuracies were 0.96 for SIARCS and 0.92 for SEROBIN. There was no statistical difference between the classifiers using the Z test at the 5% significance level.
650 $asoil erosion
650 $asoil management
653 $adigital image processing
653 $asoil cover
700 1 $aCARVALHO, D. F.
700 1 $aVARELLA, C. A. A.
700 1 $aSILVA, L. D. B.
700 1 $aSOUZA, W. E. S.
700 1 $aPINTO, F. A. C.
773 $tEngenharia Agrícola$gv.28, n.2, p.237-244, abr./jun., 2008.
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Registro original: |
Embrapa Algodão (CNPA) |
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| Registros recuperados : 9 | |
| 8. |  | ZANDONADI, R. S.; PINTO, F. A. C.; SENA JUNIOR, D. G; QUEIROZ, D. M.; VIANA, P. A.; MANTOVANI, E. C. Identification of lesser cornstalk borer-attacked maize plants using infrared images Biosystems Engineering, London, v. 91, n. 4, p. 433-439, 2005.| Tipo: Artigo em Periódico Indexado |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 9 | |
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