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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
23/04/2024 |
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Data da última atualização: |
23/04/2024 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
RIBEIRO, W. R.; ALMEIDA, A. de S.; FERREIRA, A. L.; SILVA, R. M.; ALVES, T. M.; GERALDINE, A. M.; SILVA, J. F. A. e; PINHEIRO, P. V.; LOBO JUNIOR, M. |
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Afiliação: |
WILLIAM RAFAEL RIBEIRO, UNIVERSIDADE FEDERAL DE GOIÁS; ANDRESSA DE SOUZA ALMEIDA, UNIVERSIDADE FEDERAL DE GOIÁS; AMANDA LOPES FERREIRA, UNIVERSIDADE FEDERAL DE GOIÁS; ROMULO MOREIRA SILVA, INSTITUTO FEDERAL GOIANO; TAVVS MICAEL ALVES, INSTITUTO FEDERAL GOIANO; ALAERSON MAIA GERALDINE, INSTITUTO FEDERAL GOIANO; JOSE FRANCISCO ARRUDA E SILVA, CNPAF; PATRICIA VALLE PINHEIRO, CNPAF; MURILLO LOBO JUNIOR, CNPAF. |
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Título: |
Building a hyperspectral library of common bean diseases. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
In: INTERNATIONAL EPIDEMIOLOGY WORKSHOP, 13., 2024, Foz do Iguaçu. Book of abstracts. Foz do Iguaçu: Sociedade Brasileira de Fitopatologia, 2024. |
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Páginas: |
p. 102. |
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Idioma: |
Inglês |
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Conteúdo: |
Sensors attached to unmanned aerial vehicles can detect diseased plants before they become symptomatic, according to differences in their reflectance. Despite the advances in hardware and methods for detecting infections with remote sensing, using these tools to scout common bean diseases is still incipient. The objectives of this study were: 1) to evaluate the effectiveness of a hyperspectral sensor in the diagnosis of common bean diseases; 2) verify differences in the spectral signatures in different genotypes with healthy or infected plants; and 3) to investigate if mulch used in no-tillage can influence the spectral signatures. |
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Thesagro: |
Doença de Planta; Feijão; Phaseolus Vulgaris; Sensoriamento Remoto; Tecnologia. |
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Thesaurus Nal: |
Beans; Hyperspectral imagery; Plant diseases and disorders. |
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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/265559/1/IEW-2024-p102.pdf
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Marc: |
LEADER 01610nam a2200313 a 4500
001 2163790
005 2024-04-23
008 2024 bl uuuu u00u1 u #d
100 1 $aRIBEIRO, W. R.
245 $aBuilding a hyperspectral library of common bean diseases.$h[electronic resource]
260 $aIn: INTERNATIONAL EPIDEMIOLOGY WORKSHOP, 13., 2024, Foz do Iguaçu. Book of abstracts. Foz do Iguaçu: Sociedade Brasileira de Fitopatologia$c2024
300 $ap. 102.
520 $aSensors attached to unmanned aerial vehicles can detect diseased plants before they become symptomatic, according to differences in their reflectance. Despite the advances in hardware and methods for detecting infections with remote sensing, using these tools to scout common bean diseases is still incipient. The objectives of this study were: 1) to evaluate the effectiveness of a hyperspectral sensor in the diagnosis of common bean diseases; 2) verify differences in the spectral signatures in different genotypes with healthy or infected plants; and 3) to investigate if mulch used in no-tillage can influence the spectral signatures.
650 $aBeans
650 $aHyperspectral imagery
650 $aPlant diseases and disorders
650 $aDoença de Planta
650 $aFeijão
650 $aPhaseolus Vulgaris
650 $aSensoriamento Remoto
650 $aTecnologia
700 1 $aALMEIDA, A. de S.
700 1 $aFERREIRA, A. L.
700 1 $aSILVA, R. M.
700 1 $aALVES, T. M.
700 1 $aGERALDINE, A. M.
700 1 $aSILVA, J. F. A. e
700 1 $aPINHEIRO, P. V.
700 1 $aLOBO JUNIOR, M.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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| 1. |  | RIBEIRO, W. R.; ALMEIDA, A. de S.; FERREIRA, A. L.; SILVA, R. M.; ALVES, T. M.; GERALDINE, A. M.; SILVA, J. F. A. e; PINHEIRO, P. V.; LOBO JUNIOR, M. Building a hyperspectral library of common bean diseases. In: INTERNATIONAL EPIDEMIOLOGY WORKSHOP, 13., 2024, Foz do Iguaçu. Book of abstracts. Foz do Iguaçu: Sociedade Brasileira de Fitopatologia, 2024. p. 102.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 1 | |
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