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 | Acesso ao texto completo restrito à biblioteca da Embrapa Suínos e Aves. Para informações adicionais entre em contato com cnpsa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
12/08/2021 |
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Data da última atualização: |
12/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BEDIN, F. C. B.; FAUST, M. V.; GUARNERI, G. A.; ASSMANN, T. S.; LAFAY, C. B. B.; SOARES, L. F.; OLIVEIRA, P. A. V. de; SANTOS-TONIAL, L. M. dos. |
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Afiliação: |
FLAVIA CHIAMULERA BORSATTI BEDIN, UTFPR; MATEUS VINICIUS FAUST, UTFPR; GIOVANNI ALFREDO GUARNERI, UTFPR; TANGRIANI SIMIONI ASSMANN, UTFPR; CINTIA BOEIRA BATISTA LAFAY, UTFPR; LISIANE FERNANDES SOARES, UTFPR; PAULO ARMANDO VICTORIA DE OLIVEIRA, CNPSA; LARISSA MACEDO DOS SANTOS-TONIAL, UTFPR. |
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Título: |
NIR associated to PLS and SVM for fast and non-destructive determination of C, N, P, and K contents in poultry litter. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, v. 245, n. 118834, 2021. |
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DOI: |
https://doi.org/10.1016/j.saa.2020.118834 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Using near-infrared (NIR) spectroscopy for poultry litter characterization can be a rapid, non-destructive, and low-cost alternative. This study aims to estimate the C, N, P, and K content in poultry litter samples using for first time NIR spectroscopy. For these purposes, the building models were carried out using Partial Least Squares (PLS) and Support VectorMachines (SVM)methods. A total of 160 litter sampleswere analyzed in poultry houses of different rearing systems, seeking the highest possible variability in their chemical composition. NIR spectroscopy, combinedwith PLS and SVMmethods, is an alternative method for non-destructive C, N, P, and K determination in poultry samples. The regression models using SVM provide better accuracy for all elements, laying the basis for the nonlinear regression approach's application. The K determination on poultry litter using NIR was possible only by the SVM model (R2 = 0.8620 and RPD = 2.7330). Conclusively, the predictive ability was improved using the SVM method. |
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Palavras-Chave: |
Organic manures. |
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Thesagro: |
Adubo Orgânico; Cama de Galinheiro; Frango; Raio Infravermelho. |
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Thesaurus Nal: |
Aviculture; Litters (young animals); Near-infrared spectroscopy; Organic fertilizers; Organic wastes; Support vector machines. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02164naa a2200349 a 4500
001 2133512
005 2021-08-12
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.saa.2020.118834$2DOI
100 1 $aBEDIN, F. C. B.
245 $aNIR associated to PLS and SVM for fast and non-destructive determination of C, N, P, and K contents in poultry litter.$h[electronic resource]
260 $c2021
520 $aAbstract: Using near-infrared (NIR) spectroscopy for poultry litter characterization can be a rapid, non-destructive, and low-cost alternative. This study aims to estimate the C, N, P, and K content in poultry litter samples using for first time NIR spectroscopy. For these purposes, the building models were carried out using Partial Least Squares (PLS) and Support VectorMachines (SVM)methods. A total of 160 litter sampleswere analyzed in poultry houses of different rearing systems, seeking the highest possible variability in their chemical composition. NIR spectroscopy, combinedwith PLS and SVMmethods, is an alternative method for non-destructive C, N, P, and K determination in poultry samples. The regression models using SVM provide better accuracy for all elements, laying the basis for the nonlinear regression approach's application. The K determination on poultry litter using NIR was possible only by the SVM model (R2 = 0.8620 and RPD = 2.7330). Conclusively, the predictive ability was improved using the SVM method.
650 $aAviculture
650 $aLitters (young animals)
650 $aNear-infrared spectroscopy
650 $aOrganic fertilizers
650 $aOrganic wastes
650 $aSupport vector machines
650 $aAdubo Orgânico
650 $aCama de Galinheiro
650 $aFrango
650 $aRaio Infravermelho
653 $aOrganic manures
700 1 $aFAUST, M. V.
700 1 $aGUARNERI, G. A.
700 1 $aASSMANN, T. S.
700 1 $aLAFAY, C. B. B.
700 1 $aSOARES, L. F.
700 1 $aOLIVEIRA, P. A. V. de
700 1 $aSANTOS-TONIAL, L. M. dos
773 $tSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy$gv. 245, n. 118834, 2021.
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