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| 2. |  | GERHARDT, I. R.; OKURA, V. K.; DANTE, R. A.; ARRUDA, P. A gene expression atlas of Vellozia nivea, a desiccation-tolerant species from the Brazilian campos rupestres. In: INTERNATIONAL PLANT & ANIMAL GENOME, 28., 2020, San Diego. Abstracts... Livingston, NJ: Scherago International, 2020. PE1028.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 5. | | GOZZO, V. C.; OKURA, V. K.; FONSECA, I.; MARTINS, M. F.; CARDOSO, F. F.; GIACHETTO, P. F. Identification of mechanisms involved in mastitis response by means of gene network building. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 7.; INTERNATIONAL CONFERENCE OF THE IBEROAMERICAN SOCIETY FOR BIOINFORMATICS, 3., 2011, Florianópolis. Proceedings... Florianópolis: Associação Brasileira de Bioinformática e Biologia Computacional, 2011. Não paginado. X-MEETING 2011.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Leite. |
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| 6. | | FERRARI, F.; ZANCA, A. S.; JORDÃO, H.; GIACHETTO, P. F.; OKURA, V. K.; MACCHERONI, W.; FORNI-MARTINS, E. R. Sugarcane BAC selection for BAC-FISH in currents hybrids varieties. In: CONGRESSO BRASILEIRO DE GENÉTICA, 55., 2009, Águas de Lindóia, SP. Resumos... Ribeirão Preto: Sociedade Brasileira de Genética, 2009. p. 96.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 7. | | FIGUEIRA, T. R. e S.; OKURA, V.; SILVA, F. R. da; SILVA, M. J. da; KUDRNA, D.; AMMIRAJU, J. S. S.; TALAG, J.; WING, R.; ARRUDA, P. A BAC library of the SP80-3280 sugarcane variety (saccharum sp.) and its inferred microsynteny with the sorghum genome. BMC Research Notes, v. 5, 2012. 11 p.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 8. | | GERHARDT, I. R.; FILIPPI, S. B.; OKURA, V.; COUTINHO, J.; RIAZZATO, A. P.; GUI, K.; VESSALI, N.; PONTES, J. H. M.; CORDEIRO, T.; SILVA, S. M.; GARCIA, A. F.; ARRUDA, P.; et. al. Overexpression of walldof transcription factor increases secondary wall deposition and alters carbon partitioning in poplar. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2011, Arraial d'Ajuda. From genomes do integration and delivery: extended abstracts proceedings. [S.l.]: Embrapa: Veracel: IUFRO, 2011. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
05/04/2005 |
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Data da última atualização: |
05/04/2005 |
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Autoria: |
CRUVINEL, P. E.; NAIME, J. M. N.; BORGES, M.; MACEDO, A.; ZHANG, A. |
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Título: |
Detection of beetle damage in forests by x-ray CT image processing. |
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Ano de publicação: |
2003 |
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Fonte/Imprenta: |
Revista árvore, Viçosa, v. 27, n. 5, p. 747-752, 2003. |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT -Some beetle species can have devastating economic impacts on forest and nursery industries. A recent example is Anophophora glabripenis, a species of beetle known in the United States as the "Asian Longhorrned beetle", which has damaged many American forests, and is a threat which can unintentionally reach south American countries, including Brazil. This work presents a new method based on X-ray computerized tomography (CT) and image processing for beetle injury detection in forests. Its results show a set of images with correct identification of the location of beetles in living trees as well as damage evaluation with time. |
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Palavras-Chave: |
Árvores; Detecção de Injúrias; Florestas; Tomografia Computadorizada. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01237naa a2200217 a 4500
001 1026290
005 2005-04-05
008 2003 bl --- 0-- u #d
100 1 $aCRUVINEL, P. E.
245 $aDetection of beetle damage in forests by x-ray CT image processing.
260 $c2003
520 $aABSTRACT -Some beetle species can have devastating economic impacts on forest and nursery industries. A recent example is Anophophora glabripenis, a species of beetle known in the United States as the "Asian Longhorrned beetle", which has damaged many American forests, and is a threat which can unintentionally reach south American countries, including Brazil. This work presents a new method based on X-ray computerized tomography (CT) and image processing for beetle injury detection in forests. Its results show a set of images with correct identification of the location of beetles in living trees as well as damage evaluation with time.
653 $aÁrvores
653 $aDetecção de Injúrias
653 $aFlorestas
653 $aTomografia Computadorizada
700 1 $aNAIME, J. M. N.
700 1 $aBORGES, M.
700 1 $aMACEDO, A.
700 1 $aZHANG, A.
773 $tRevista árvore, Viçosa$gv. 27, n. 5, p. 747-752, 2003.
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