| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
07/02/2006 |
|
Data da última atualização: |
17/01/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
CAMARGO NETO, J.; MEYER, G. E.; JONES, D. D.; SAMAL, A. K. |
|
Afiliação: |
JOAO CAMARGO NETO, CNPTIA; GEORGE E. MEYER, University of Nebraska; DAVID D. JONES, University of Nebraska; ASHOK K. SAMAL, University of Nebraska. |
|
Título: |
Plant species identification using Eliptic Fourier leaf shape analysis. |
|
Ano de publicação: |
2006 |
|
Fonte/Imprenta: |
Computers and Electronics in Agriculture, v. 50, n. 2, p. 121-134, 2006. |
|
DOI: |
https://doi.org/10.1016/j.compag.2005.09.004 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Elliptic Fourier (EF) and discriminant analyses were used to identify young soybean (Glycine max (L.) merrill), sunflower (Helianthus pumilus), redroot pigweed (Amaranthus retroflexus) and velvetleaf (Abutilon theophrasti Medicus) plants, based on leaf shape. Chain encoded, Elliptic Fourier harmonic functions were generated based on leaf boundary. A complexity index of the leaf shape was computed using the variation between consecutive EF functions. Principle component analysis was used to select the Fourier coefficients with the best discriminatory power. Canonical discriminant analysis was used to develop species identification models based on leaf shapes extracted from plant color images during the second and third weeks after germination. The classification results showed that plant species during the third week were successfully identified with an average of correct classification rate of 89.4%. The discriminant model correctly classified on average: 77.9% of redroot pigweed, 93.8% of sunflower, 89.4% of velvetleaf and 96.5% of soybean. Using all of the leaves extracted from the second and the third weeks, the overall classification accuracy was 89.2%. The discriminant model correctly classified 76.4% of redroot pigweed, 93.6% of sunflower, 81.6% of velvetleaf, 91.5% of soybean leaf extracted from trifoliolate and 90.9% of soybean unifoliolate leaves. The Elliptic Fourier shape feature analysis could be an important and accurate tool for weed species identification and mapping. MenosElliptic Fourier (EF) and discriminant analyses were used to identify young soybean (Glycine max (L.) merrill), sunflower (Helianthus pumilus), redroot pigweed (Amaranthus retroflexus) and velvetleaf (Abutilon theophrasti Medicus) plants, based on leaf shape. Chain encoded, Elliptic Fourier harmonic functions were generated based on leaf boundary. A complexity index of the leaf shape was computed using the variation between consecutive EF functions. Principle component analysis was used to select the Fourier coefficients with the best discriminatory power. Canonical discriminant analysis was used to develop species identification models based on leaf shapes extracted from plant color images during the second and third weeks after germination. The classification results showed that plant species during the third week were successfully identified with an average of correct classification rate of 89.4%. The discriminant model correctly classified on average: 77.9% of redroot pigweed, 93.8% of sunflower, 89.4% of velvetleaf and 96.5% of soybean. Using all of the leaves extracted from the second and the third weeks, the overall classification accuracy was 89.2%. The discriminant model correctly classified 76.4% of redroot pigweed, 93.6% of sunflower, 81.6% of velvetleaf, 91.5% of soybean leaf extracted from trifoliolate and 90.9% of soybean unifoliolate leaves. The Elliptic Fourier shape feature analysis could be an important and accurate tool for weed species identification and ... Mostrar Tudo |
|
Palavras-Chave: |
Análise de forma de folha; Elliptic Fourier; Espécies de planta; Machine vision; Reconhecimento padrão; Shape features. |
|
Thesaurus Nal: |
Computer vision; discriminant analysis; Leaves. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02359naa a2200277 a 4500
001 1009265
005 2020-01-17
008 2006 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.compag.2005.09.004$2DOI
100 1 $aCAMARGO NETO, J.
245 $aPlant species identification using Eliptic Fourier leaf shape analysis.$h[electronic resource]
260 $c2006
520 $aElliptic Fourier (EF) and discriminant analyses were used to identify young soybean (Glycine max (L.) merrill), sunflower (Helianthus pumilus), redroot pigweed (Amaranthus retroflexus) and velvetleaf (Abutilon theophrasti Medicus) plants, based on leaf shape. Chain encoded, Elliptic Fourier harmonic functions were generated based on leaf boundary. A complexity index of the leaf shape was computed using the variation between consecutive EF functions. Principle component analysis was used to select the Fourier coefficients with the best discriminatory power. Canonical discriminant analysis was used to develop species identification models based on leaf shapes extracted from plant color images during the second and third weeks after germination. The classification results showed that plant species during the third week were successfully identified with an average of correct classification rate of 89.4%. The discriminant model correctly classified on average: 77.9% of redroot pigweed, 93.8% of sunflower, 89.4% of velvetleaf and 96.5% of soybean. Using all of the leaves extracted from the second and the third weeks, the overall classification accuracy was 89.2%. The discriminant model correctly classified 76.4% of redroot pigweed, 93.6% of sunflower, 81.6% of velvetleaf, 91.5% of soybean leaf extracted from trifoliolate and 90.9% of soybean unifoliolate leaves. The Elliptic Fourier shape feature analysis could be an important and accurate tool for weed species identification and mapping.
650 $aComputer vision
650 $adiscriminant analysis
650 $aLeaves
653 $aAnálise de forma de folha
653 $aElliptic Fourier
653 $aEspécies de planta
653 $aMachine vision
653 $aReconhecimento padrão
653 $aShape features
700 1 $aMEYER, G. E.
700 1 $aJONES, D. D.
700 1 $aSAMAL, A. K.
773 $tComputers and Electronics in Agriculture$gv. 50, n. 2, p. 121-134, 2006.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 726 | |
| 82. |  | MORAIS, R. F.; SOUZA, B. J.; LEITE, J. M.; ALVES, B. J. R.; URQUIAGA, S. Estoque de carbono em solos cultivados com diferentes genótipos de capim elefante. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO, 18., 2008, Seropédica, RJ. Seropédica, RJ, 2008. Parceria: UFRRJ| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agrobiologia. |
|   |
| 84. | | PAREDES, D. da S.; ARAÚJO, E. S.; URQUIAGA, S.; ALVES, B. J. R.; BODDEY, R. M. Estimativa do N total do sistema radicular da soja através da marcação da planta com 15N-uréia. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO, 18., 2008, Seropédica, RJ. Seropédica, RJ, 2008. Parceria: UFRRJ| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agrobiologia. |
| |
| 85. | | ZOTARELLI, L.; TORRES, E.; HUNGRIA, M.; URQUIAGA, S.; BODDEY, R. M.; ALVES, B. J. R. Efeito dos residuos de colheita da cultura da soja sobre a produtividade de trigo e sobre o balanco de N do sistema, conduzido sob plantio direto. In: CONGRESSO BRASILEIRO DE SOJA, 1999, Londrina. Anais... Londrina: Embrapa Soja, 1999. p.345. (Embrapa Soja. Documentos, 124).| Biblioteca(s): Embrapa Soja. |
| |
| 87. | | GIACOMINI, S. J.; JANTALIA, C. P.; AITYA, C.; URQUIAGA, S.; ALVES, B. J. R. Emissão de óxido nitroso com a aplicação de dejetos líquidos de suínos em solo sob plantio direto. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 41, n. 11, p. 1653-1661, nov. 2006 Título em inglês: Nitrous oxide emissions following pig slurry application in soil under no-tillage system.| Biblioteca(s): Embrapa Unidades Centrais. |
|  |
| 88. | | LESSA, A. C. R.; LENGRUBER, J. A.; URQUIAGA, S.; BODDEY, R. M.; ALVES, B. J. R. Emissão de óxido nitroso de fezes e urina bovina. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 28., REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 12., SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 10., REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 7., 2008, Londrina. FertBio 2008: desafios para o uso do solo com eficiência e qualidade ambiental: anais. Londrina: Embrapa Soja: SBCS: IAPAR, UEL, 2008. 4 p. 1 CD-ROM. Parceria: UFRRJ.
Organizado por: Adilson de Oliveira Júnior, Regina Maria Villas Bôas de Campos Leite, César de Castro, Fábio Álvares de Oliveira; Odilon Ferreira Saraiva.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Agrobiologia. |
| |
| 92. | | FERNANDES, P. R. T.; POLIDORO, J. C.; JANTALIA, C. P.; ALVES, B. J. R.; URQUIAGA, S. Emissões de óxido nitroso em solos adubados com fontes orgânicas e minerais de nitrogênio cultivados com brócolos (Brassica oleracea var. italica) em sistema de preparo mínimo e convencional. In: CONGRESSO DE PESQUISA, 2., JORNADA DE INICIAÇÃO CIENTÍFICAS DA UFRural/RJ, 14., 2004, Seropédica, RJ. Anais... Seropédica: Universidade Federal Rural do Rio de Janeiro, 2004. v. 14. p. 217-221. CD ROM. Área de Agronomia. JIC 369.pdf.| Biblioteca(s): Embrapa Agrobiologia. |
| |
| 94. | | MONTEIRO, J. M. G.; ALVES, B. J. R.; ZUCHELLO, F.; SANT'ANNA, S. A. C. de. Emissão de gases de efeito-estufa em solos sob floresta e sob pastagem. In: PRADO, R. B.; FIDALGO, E. C. C.; BONNET, A. (Ed.). Monitoramento da revegetação do COMPERJ: etapa inicial. Brasília, DF: Embrapa, 2014. cap. 12, p. 207-220.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
| |
| 95. | | CARDOSO, A. S.; URQUIAGA, S.; ALVES, B. J. R.; BODDEY, R. M.; JANTALIA, C. P. Emissão de metano pelas fezes de bovinos leiteiros, depositadas diretamente em solo de pastagem de Seropédica, RJ. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia. Solos nos biomas brasileiros: sustentabilidade e mudanças climáticas: anais. [Uberlândia]: SBCS: UFU, ICIAG, 2011.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agrobiologia. |
| |
| 100. | | IBIJBIJEN, J.; URQUIAGA, S.; ISMAILI, M.; ALVES, B. J. R.; BODDEY, R. M. Effect of arbuscular mycorrhizal fungi on growth, mineral nutrition and nitrogen fixation of three varieties of common beans (Phaseolus vulgaris). New Phytologist, Cambridge, v. 134, n. 2, p. 353-360, 1996.| Biblioteca(s): Embrapa Agrobiologia. |
| |
| Registros recuperados : 726 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
