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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
13/06/2002 |
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Data da última atualização: |
13/06/2002 |
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Autoria: |
ZANUNCIO, J. C.; SOSSAI, M. F.; OLIVEIRA, H. N. de; ZANUNCIO JUNIOR, J. S. |
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Título: |
Influência das iscas formicidas Mirex-s Max e Blitz na paralisação de corte e no controle de Atta sexdens rubropilosa (Hymenoptera:Fomicidae). |
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Ano de publicação: |
2002 |
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Fonte/Imprenta: |
Revista Arvore, Viçosa, v. 26, n. 2, p. 237-242, mar./abr. 2002. |
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Idioma: |
Português |
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Palavras-Chave: |
Forest protection; Formiga-cortadeira; Granulated baits; Iscas granuladas; Leaf-cutting ant; Saúvas. |
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Thesagro: |
Proteção Florestal. |
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Thesaurus Nal: |
Formicidae. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00780naa a2200241 a 4500
001 1304445
005 2002-06-13
008 2002 bl uuuu u00u1 u #d
100 1 $aZANUNCIO, J. C.
245 $aInfluência das iscas formicidas Mirex-s Max e Blitz na paralisação de corte e no controle de Atta sexdens rubropilosa (Hymenoptera$bFomicidae).
260 $c2002
650 $aFormicidae
650 $aProteção Florestal
653 $aForest protection
653 $aFormiga-cortadeira
653 $aGranulated baits
653 $aIscas granuladas
653 $aLeaf-cutting ant
653 $aSaúvas
700 1 $aSOSSAI, M. F.
700 1 $aOLIVEIRA, H. N. de
700 1 $aZANUNCIO JUNIOR, J. S.
773 $tRevista Arvore, Viçosa$gv. 26, n. 2, p. 237-242, mar./abr. 2002.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Trigo. |
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Data corrente: |
28/09/2018 |
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Data da última atualização: |
28/09/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BARBEDO, J. G. A.; GUARIENTI, E. M.; TIBOLA, C. S. |
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Afiliação: |
JAYME G.A. BARBEDO; ELIANA MARIA GUARIENTI, CNPT; CASIANE SALETE TIBOLA, CNPT. |
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Título: |
Detection of sprout damage in wheat kernels using NIR hyperspectral imaging. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Biosystems Engineering, v. 175, p. 124-132, 2018. |
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ISSN: |
1537-5110 |
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DOI: |
https://doi.org/10.1016/j.biosystemseng.2018.09.012 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
The use of near-infrared (NIR) hyperspectral imaging (HSI) for detecting sprout damage in wheat kernels was investigated. Experiments were carried out to determine which spectral bands had the best potential for discriminating between sound and sprouted kernels. Two wavelengths were selected and combined into an index that was used to indicate the presence or absence of sprouting. Experiments with three wheat cultivars revealed that the proposed method is effective in identifying kernels for which the germination process has initiated, achieving 100% accuracy for the samples used in this study. It was also observed an imperfect correlation with the Falling Number (grain quality), making it challenging to accurately determine the degree of germination, especially if sprouts are not yet clearly visible. These results confirm the usefulness of the near-infrared spectral range for detecting chemical alterations in wheat kernels, as well as the fact that most information is usually contained in a few specific bands within such range. |
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Palavras-Chave: |
Germinação pré-colheita; Hyperspectral imaging; Image processing; Processamento de imagem; Sprout damage. |
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Thesagro: |
Germinação; Trigo. |
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Thesaurus NAL: |
Germination; Image analysis; Wheat. |
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Categoria do assunto: |
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X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/183708/1/ID44366-2018v175p124BiosystEng.pdf
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Marc: |
LEADER 01898naa a2200289 a 4500
001 2096599
005 2018-09-28
008 2018 bl uuuu u00u1 u #d
022 $a1537-5110
024 7 $ahttps://doi.org/10.1016/j.biosystemseng.2018.09.012$2DOI
100 1 $aBARBEDO, J. G. A.
245 $aDetection of sprout damage in wheat kernels using NIR hyperspectral imaging.$h[electronic resource]
260 $c2018
520 $aThe use of near-infrared (NIR) hyperspectral imaging (HSI) for detecting sprout damage in wheat kernels was investigated. Experiments were carried out to determine which spectral bands had the best potential for discriminating between sound and sprouted kernels. Two wavelengths were selected and combined into an index that was used to indicate the presence or absence of sprouting. Experiments with three wheat cultivars revealed that the proposed method is effective in identifying kernels for which the germination process has initiated, achieving 100% accuracy for the samples used in this study. It was also observed an imperfect correlation with the Falling Number (grain quality), making it challenging to accurately determine the degree of germination, especially if sprouts are not yet clearly visible. These results confirm the usefulness of the near-infrared spectral range for detecting chemical alterations in wheat kernels, as well as the fact that most information is usually contained in a few specific bands within such range.
650 $aGermination
650 $aImage analysis
650 $aWheat
650 $aGerminação
650 $aTrigo
653 $aGerminação pré-colheita
653 $aHyperspectral imaging
653 $aImage processing
653 $aProcessamento de imagem
653 $aSprout damage
700 1 $aGUARIENTI, E. M.
700 1 $aTIBOLA, C. S.
773 $tBiosystems Engineering$gv. 175, p. 124-132, 2018.
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Registro original: |
Embrapa Trigo (CNPT) |
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