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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Hortaliças; Embrapa Instrumentação. |
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Data corrente: |
09/05/2024 |
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Data da última atualização: |
09/05/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERREIRA, L. C.; CARVALHO, I. C. B.; JORGE, L. A. de C.; QUEZADO-DUVAL, A. M.; ROSSATO, M. |
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Afiliação: |
UNIVERSITY OF BRASILIA; UNIVERSITY OF BRASILIA; LUCIO ANDRE DE CASTRO JORGE, CNPDIA; ALICE MARIA QUEZADO DUVAL, CNPH; UNIVERSITY OF BRASILIA. |
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Título: |
Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 15, 1387925, 2024. |
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Páginas: |
9 p. |
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DOI: |
10.3389/fpls.2024.1387925 |
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Idioma: |
Inglês |
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Conteúdo: |
Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. With the expansion of the international seed market with global movement of this propagative plant material, and considering that about 90% of economically important crops grown from seeds, seed pathology emerged as an important discipline. Seed health testing is presently part of quality analysis and carried out by seed enterprises and governmental institutions looking forward to exclude a new pathogen in a country or site. The development of seedborne pathogens detection methods has been following the plant pathogen detection and diagnosis advances, from the use of cultivation on semi-selective media, to antibodies and DNA-based techniques. Hyperspectral imaging (HSI) associated with artificial intelligence can be considered the new frontier for seedborne pathogen detection with high accuracy in discriminating infected from healthy seeds. The development of the process consists of standardization of methods and protocols with the validation of spectral signatures for presence and incidence of contamined seeds. Concurrently, epidemiological studies correlating this information with disease outbreaks would help in determining the acceptable thresholds of seed contamination. Despite the high costs of equipment and the necessity for interdisciplinary collaboration, it is anticipated that health seed certifying programs and seed suppliers will benefit from the adoption of HSI techniques in the near future. MenosFood security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. With the expansion of the international seed market with global movement of this propagative plant material, and considering that about 90% of economically important crops grown from seeds, seed pathology emerged as an important discipline. Seed health testing is presently part of quality analysis and carried out by seed enterprises and governmental institutions looking forward to exclude a new pathogen in a country or site. The development of seedborne pathogens detection methods has been following the plant pathogen detection and diagnosis advances, from the use of cultivation on semi-selective media, to antibodies and DNA-based techniques. Hyperspectral imaging (HSI) associated with artificial intelligence can be considered the new frontier for seedborne pathogen detection with high accuracy in discriminating infected from healthy seeds. The development of the process consists of standardization of methods and protocols with the validation of spectral signatures for presence and incidence of contamined seeds. Concurrently, epidemiological studies correlating this information with disease outbreaks would help in determining the acceptable thresholds of seed contamination. Despite the high costs of equipment and the necessity for interdis... Mostrar Tudo |
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Palavras-Chave: |
Machine learning; Nematode; Phytopathogen; Seedborne. |
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Thesagro: |
Segurança Alimentar; Semente. |
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Thesaurus Nal: |
Artificial intelligence; Plant pathogens; Seed quality. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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024 7 $a10.3389/fpls.2024.1387925$2DOI
100 1 $aFERREIRA, L. C.
245 $aHyperspectral imaging for the detection of plant pathogens in seeds$brecent developments and challenges.$h[electronic resource]
260 $c2024
300 $a9 p.
520 $aFood security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. With the expansion of the international seed market with global movement of this propagative plant material, and considering that about 90% of economically important crops grown from seeds, seed pathology emerged as an important discipline. Seed health testing is presently part of quality analysis and carried out by seed enterprises and governmental institutions looking forward to exclude a new pathogen in a country or site. The development of seedborne pathogens detection methods has been following the plant pathogen detection and diagnosis advances, from the use of cultivation on semi-selective media, to antibodies and DNA-based techniques. Hyperspectral imaging (HSI) associated with artificial intelligence can be considered the new frontier for seedborne pathogen detection with high accuracy in discriminating infected from healthy seeds. The development of the process consists of standardization of methods and protocols with the validation of spectral signatures for presence and incidence of contamined seeds. Concurrently, epidemiological studies correlating this information with disease outbreaks would help in determining the acceptable thresholds of seed contamination. Despite the high costs of equipment and the necessity for interdisciplinary collaboration, it is anticipated that health seed certifying programs and seed suppliers will benefit from the adoption of HSI techniques in the near future.
650 $aArtificial intelligence
650 $aPlant pathogens
650 $aSeed quality
650 $aSegurança Alimentar
650 $aSemente
653 $aMachine learning
653 $aNematode
653 $aPhytopathogen
653 $aSeedborne
700 1 $aCARVALHO, I. C. B.
700 1 $aJORGE, L. A. de C.
700 1 $aQUEZADO-DUVAL, A. M.
700 1 $aROSSATO, M.
773 $tFrontiers in Plant Science$gv. 15, 1387925, 2024.
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Embrapa Instrumentação (CNPDIA) |
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| Registros recuperados : 10 | |
| 3. |  | ROSSATO, M.; SANTIAGO, T. R.; ALVES, A. R.; CARVALHO, I. C. B.; LOPES, C. A. Reaction of chickpea cultivars to bacterial wilt, a new disease to a crop under expansion in Brazil. In: INTERNATIONAL BACTERIAL WILT SYMPOSIUM, 7., 2023, Montevideo. Abstract book. Montevideo: Universidad de la República Uruguay : INIA, 2023. p. 104.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Hortaliças. |
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| 4. | | SANTOS, E.; AYRES, E. M. M.; HIDALGO CHÁVEZ, D. W.; CUNHA, L.; DELIZA, R.; CARVALHO, I. C.; FERNANDES, T. E. Avaliação de selos ambientais em alimentos: o que os consumidores têm a dizer? In: SIMPÓSIO LATINO AMERICANO DE CIÊNCIA DE ALIMENTOS E NUTRIÇÃO, 15., 2023, Campinas. A revolução da ciência de alimentos e nutrição: alimentando o mundo de forma sustentável: caderno [eletrônico] de resumos. Campinas: Galoá, 2023. Pôster 166114; SLACAN.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 6. | | CARVALHO, I. C. B. de; WENDLAND, A.; CARVALHO, A. M. S. de; EGITO, I. C. S. do; ROSSATO, M. Ensaio Lamp colorimétrico par detecção a olho nu de Xanthomonas phaseoli pv. manihotis em plantas de mandioca. In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 53., 2023, Brasília, DF. Anais... Brasília, DF: Sociedade Brasileira de Fitopatologia, 2023. p. 80.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 7. | | SANTOS, E.; CARVALHO, I. C.; AYRES, E. M. M.; HIDALGO CHÁVEZ, D. W.; CUNHA, L.; DELIZA, R.; FERNANDES, T. E. Percepção de consumidores sobre alimentos substitutos de proteína animal. In: SIMPÓSIO LATINO AMERICANO DE CIÊNCIA DE ALIMENTOS E NUTRIÇÃO, 15., 2023, Campinas. A revolução da ciência de alimentos e nutrição: alimentando o mundo de forma sustentável: caderno [eletrônico] de resumos. Campinas: Galoá, 2023. Pôster 166115; SLACAN.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 8. | | SÃO MIGUEL, A. S. D. C.; PACHECO, L. P.; CARVALHO, I. C. de; SOUZA, E. D. de; FEITOSA, P. B.; PETTER, F. A. Phytomass and nutrient release in soybean cultivation systems under no-tillage. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 10, p. 1119-1131, Oct. 2018. Título em português: Fitomassa e liberação de nutrientes em sistemas de cultivo de soja sob plantio direto.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 9. | | ESPERANÇA, I. P. L. DE C.; CARVALHO, I. C.; LAUDANO, A. P. C. P.; SANTOS, G.; AYRES, E. M. M.; DELIZA, R. Using apple juice to replace sugar in grape nectar formulation associated with nutritional warning: the effects on the expected consumer liking. In: SIMPÓSIO LATINO AMERICANO DE CIÊNCIA DE ALIMENTOS E NUTRIÇÃO, 15., 2023, Campinas. A revolução da ciência de alimentos e nutrição: alimentando o mundo de forma sustentável: caderno [eletrônico] de resumos. Campinas: Galoá, 2023. Pôster 168522; SLACAN.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 10. | | MORAIS, E. de; CARVALHO, I. C. de; PANTOJA, W. L. da C.; LIMA, A. C. S.; OLIVEIRA, M. E. C.; GUIMARÃES, C. M. C.; LOURENÇO JUNIOR, J. de B.; SILVA, A. G. M. e. Óleo de palma (Elaeis Guineenses Jacq.) na alimentação de ovinos, desaparecimento ruminal da matéria seca, matéria orgânica e proteína bruta. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 24., 2014, Vitória. A zootecnia fazendo o Brasil crescer: anais... Vitória: Universidade Federal do Espírito Santo, 2014.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 10 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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