| |
|
|
| Registros recuperados : 21 | |
| 6. |  | WIENDL, F. M.; ARTHUR, V.; WIENDL, T. A. Conservacao pos-colheita do chuchu, Sechium edule L., com o uso da refrigeracao, radiacoes gama do cobalto-60 e filme de polietileno. Revista de Agricultura, Piracicaba, v.72, n.2, p.179-188, 1997.| Biblioteca(s): Embrapa Hortaliças. |
|   |
| 11. | | CAMPANHOLA, C.; ALMEIDA, L. C. de; MARTINS, A. P.; ARTHUR, V.; WIENDL, F. M. Efeitos de gases (O2 CO2) e umidade na irradiação de sementes de milho. Ciência e Cultura, São Paulo, v.31, n.7, p.3, jul. 1979. Suplemento.| Biblioteca(s): Embrapa Meio Ambiente. |
|  |
| 14. | | ARTHUR, V.; WALDER, J. M. M.; CAMPANHOLA, C.; SGRILLO, R. B.; WIENDL, F. M.; DOMARCO, R. E. Mortalidade larval e pupal e esterilidade de adultos induzida em pupas de Acanthoscelides obtectus (Say, 1831) (Col., Bruchidae) por radiação gama de 60Co. Energia Nuclear na Agricultura, Piracicaba, v.1, n.2, p.76-81, jul./dez. 1979.| Biblioteca(s): Embrapa Meio Ambiente. |
| |
| 15. | | MARCHIORI, L. F. S.; ARTHUR, V.; SILVA, F. C. da; RAPOSO, M. S.; SILVA, G. S. P. L. da; GOIA, T. G. Determinação da dose letal de irradiação em gemas germinadas de cana de açúcar (Saccharum spp). STAB, Piracicaba, v. 35, n. 1, p. 31, set./out. 2016. Edição dos Resumos do 10o. Congresso Nacional da STAB, Ribeirão Preto, set. 2016.| Biblioteca(s): Embrapa Agricultura Digital. |
| |
| 16. | | MARCHIORI, L. F. S.; ARTHUR, V.; SILVA, F. C. da; RAPOSO, M. S.; SILVA, G. S. P. L. da; GOIA, T. G. Determinação da dose letal de irradiação em gemas germinadas de cana de açúcar (Saccharum spp). In: CONGRESSO NACIONAL DA SOCIEDADE DOS TÉCNICOS AÇUCAREIROS E ALCOOLEIROS DO BRASIL, 10., 2016, Ribeirão Preto. Anais... Ribeirão Preto: STAB, 2016. p. 89-91.| Biblioteca(s): Embrapa Agricultura Digital. |
| |
| 17. | | MENDES, N. da S. R.; SILVA, Y. P. A.; TIRABOSQUI, P. C. A.; BASSINELLO, P. Z.; ARTHUR, V.; SOUZA, A. R. M. de. Efeito da irradiação gama sobre fatores antinutricionais em feijões comerciais (Phaseolus vulgaris l.) do grupo carioca. In: CONGRESSO NACIONAL DE PESQUISA DE FEIJÃO, 10., 2011, Goiânia. Anais... Goiânia: Embrapa Arroz e Feijão, 2011. 1 CD-ROM. CONAFE.| Biblioteca(s): Embrapa Arroz e Feijão. |
|  |
| 18. | | BIANCHINI, V. de J. M.; MASCARIN, G. M.; SILVA, L. C. A. S.; ARTHUR, V.; CARSTENSEN, J. M.; BOELT, B.; SILVA, C. B. da. Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality. Plant Methods, v. 17, n. 1, article 9, 2021.| Biblioteca(s): Embrapa Meio Ambiente. |
| |
| 19. | | MENDES, N. da S. R.; SILVA, Y. P. A.; TIRABOSQUI, P. C. A.; BASSINELLO, P. Z.; ARTHUR, V.; SOUZA, A. R. M. de. Avaliação da viscosidade em feijões comerciais (Phaseolus vulgaris L.) grupo carioca submetidos ao processo de irradiação gama. In: CONGRESSO NACIONAL DE PESQUISA DE FEIJÃO, 10., 2011, Goiânia. Anais... Goiânia: Embrapa Arroz e Feijão, 2011. 1 CD-ROM. CONAFE.| Biblioteca(s): Embrapa Arroz e Feijão. |
| |
| 20. | | NOVELLI, V. M; FREITAS-ÁSTUA, J.; SEGATTI, N.; MINEIRO, J. L. C.; ARTHUR, V.; BASTIANEL, M.; HILF, M. E.; GOTTWALD, T. R.; MACHADO, M. A. Effects of radiation (Cobalt-60) on the elimination of Brevipalpus phoenicis (Acari: Tenuipalpidae) Cardinium endosymbiont. Experimental and Applied Acarology, Netherlands, v. 45, p. 147-153, jul. 2008. DOI 10.1007/s10493-008-9176-4.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
| |
| Registros recuperados : 21 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Meio Ambiente. |
|
Data corrente: |
19/07/2021 |
|
Data da última atualização: |
19/07/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
BIANCHINI, V. de J. M.; MASCARIN, G. M.; SILVA, L. C. A. S.; ARTHUR, V.; CARSTENSEN, J. M.; BOELT, B.; SILVA, C. B. da. |
|
Afiliação: |
VITOR DE JESUS MARTINS BIANCHINI, CENA-USP; GABRIEL MOURA MASCARIN, CNPMA; LÚCIA CRISTINA APARECIDA SANTOS SILVA, CENA-USP; VALTER ARTHUR, CENA-USP; JENS MICHAEL CARSTENSEN, Technical University of Denmark; BIRTE BOELT, Aarhus University; CLÍSSIA BARBOZA DA SILVA, CENA-USP. |
|
Título: |
Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
Plant Methods, v. 17, n. 1, article 9, 2021. |
|
ISSN: |
Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality |
|
DOI: |
https://doi.org/10.1186/s13007-021-00709-6 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Abstract: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time. We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serves as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (> 0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and dead seeds. Multispectral and X-ray imaging have a strong relationship with seed physiological performance. Reflectance at 940 nm and X-ray data can efficiently predict seed quality attributes. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis. MenosAbstract: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time. We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serves as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (> 0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and... Mostrar Tudo |
|
Thesagro: |
Controle de Qualidade; Jatropha Curcas; Pinhão de Purga; Semente. |
|
Thesaurus NAL: |
Artificial intelligence; Jatropha; Radiography; Seed quality. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224541/1/Mascarin-Multispectral-xray-2021.pdf
|
|
Marc: |
LEADER 02911naa a2200313 a 4500
001 2133016
005 2021-07-19
008 2021 bl uuuu u00u1 u #d
022 $aMultispectral and X-ray images for characterization of Jatropha curcas L. seed quality
024 7 $ahttps://doi.org/10.1186/s13007-021-00709-6$2DOI
100 1 $aBIANCHINI, V. de J. M.
245 $aMultispectral and X-ray images for characterization of Jatropha curcas L. seed quality.$h[electronic resource]
260 $c2021
520 $aAbstract: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time. We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serves as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (> 0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and dead seeds. Multispectral and X-ray imaging have a strong relationship with seed physiological performance. Reflectance at 940 nm and X-ray data can efficiently predict seed quality attributes. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis.
650 $aArtificial intelligence
650 $aJatropha
650 $aRadiography
650 $aSeed quality
650 $aControle de Qualidade
650 $aJatropha Curcas
650 $aPinhão de Purga
650 $aSemente
700 1 $aMASCARIN, G. M.
700 1 $aSILVA, L. C. A. S.
700 1 $aARTHUR, V.
700 1 $aCARSTENSEN, J. M.
700 1 $aBOELT, B.
700 1 $aSILVA, C. B. da
773 $tPlant Methods$gv. 17, n. 1, article 9, 2021.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Meio Ambiente (CNPMA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
