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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 Algodão; Embrapa Instrumentação. |
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Data corrente: |
25/10/2017 |
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Data da última atualização: |
18/07/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEÑALOZA, E. A. G.; CRUVINEL, P. E.; OLIVEIRA, V. A.; COSTA, A. G. F. |
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Afiliação: |
PAULO ESTEVAO CRUVINEL, CNPDIA. |
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Título: |
A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: International Journal of Semantic Computing, v. 11, n. 3, p. 279-292, 2017. |
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ISSN: |
1793-351X |
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DOI: |
https://doi.org/10.1142/S1793351X17400104 |
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Idioma: |
Inglês |
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Conteúdo: |
This paper presents a method to infer the quality of sprayers based on data collection of the drop spectra and their physical descriptors, which are used to generate a knowledge base to support decision-making in agriculture. The knowledge base is formed by collected experimental data, obtained in a controlled environment under specific operating conditions, and the semantics used in the spraying process to infer the quality in the application. The electro-hydraulic operating conditions of the sprayer system, which include speed and flow measurements, are used to define experimental tests, perform calibration of the spray booms and select the nozzle types. Using the Grubbs test and the quartile-quartile plot an exploratory analysis of the collected data was made in order to determine the data consistency, the deviation of atypical values, the independence between the data of each test, the repeatability and the normal representation of them. Therefore, integrating measurements to a knowledge base it was possible to improve the decision-making in relation to the quality of the spraying process defined in terms of a distribution function. Results shown that the use of advanced models and semantic interpretation improved the decision-making processes related to the quality of the agricultural sprayers. |
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Palavras-Chave: |
Advanced modeling; Agricultural sprayers; Average diameters; Drop size distribution; Quality of agricultural application; Semantic computing. |
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Categoria do assunto: |
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Marc: |
LEADER 02168naa a2200253 a 4500
001 2078211
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008 2017 bl uuuu u00u1 u #d
022 $a1793-351X
024 7 $ahttps://doi.org/10.1142/S1793351X17400104$2DOI
100 1 $aPEÑALOZA, E. A. G.
245 $aA model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements.
260 $c2017
520 $aThis paper presents a method to infer the quality of sprayers based on data collection of the drop spectra and their physical descriptors, which are used to generate a knowledge base to support decision-making in agriculture. The knowledge base is formed by collected experimental data, obtained in a controlled environment under specific operating conditions, and the semantics used in the spraying process to infer the quality in the application. The electro-hydraulic operating conditions of the sprayer system, which include speed and flow measurements, are used to define experimental tests, perform calibration of the spray booms and select the nozzle types. Using the Grubbs test and the quartile-quartile plot an exploratory analysis of the collected data was made in order to determine the data consistency, the deviation of atypical values, the independence between the data of each test, the repeatability and the normal representation of them. Therefore, integrating measurements to a knowledge base it was possible to improve the decision-making in relation to the quality of the spraying process defined in terms of a distribution function. Results shown that the use of advanced models and semantic interpretation improved the decision-making processes related to the quality of the agricultural sprayers.
653 $aAdvanced modeling
653 $aAgricultural sprayers
653 $aAverage diameters
653 $aDrop size distribution
653 $aQuality of agricultural application
653 $aSemantic computing
700 1 $aCRUVINEL, P. E.
700 1 $aOLIVEIRA, V. A.
700 1 $aCOSTA, A. G. F.
773 $tIn: International Journal of Semantic Computing$gv. 11, n. 3, p. 279-292, 2017.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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Biblioteca |
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
01/03/2022 |
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Data da última atualização: |
18/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
FERREIRA, M. A. R.; VILVERT, J. C.; SILVA, B. O. S. da; FERREIRA, I. C.; SOUZA, F. de F.; FREITAS, S. T. de. |
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Afiliação: |
MARIA APARECIDA RODRIGUES FERREIRA; JOÃO CLAUDIO VILVERT; BÁRBARA ORRANA SOBREIRA DA SILVA; IANCA CARNEIRO FERREIRA; FLAVIO DE FRANCA SOUZA, CPATSA; SERGIO TONETTO DE FREITAS, CPATSA. |
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Título: |
Multivariate selection index of acerola genotypes for fresh consumption based on fruit physicochemical attributes. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Euphytica, v. 218, 2022. |
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DOI: |
https://doi.org/10.1007/s10681-022-02978-1 |
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Idioma: |
Inglês |
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Conteúdo: |
Acerola (Malpighia emarginata DC.) is one of the most important fruit produced in the São Francisco Valley, a Semi-arid region in the Northeast of Brazil. This study aimed to evaluate the physicochemical quality of thirty-fve acerola genotypes produced during two growing seasons in a Semi-arid region and to identify the best ones with potential for fresh consumption based on a multivariate selection index. Fruit of each genotype were harvested during two growing seasons at the maturity stage red-ripe, characterized by full red skin color. After harvest, the fruit were evaluated for diameter, mass, fesh frmness, soluble solids (SS), titratable acidity (TA) SS/TA ratio, ascorbic acid content and skin color. A multivariate selection index (SI) was applied for scoring and ranking the genotypes for fresh consumption based on red-ripe fruit physicochemical quality. According to the results, all physicochemical attributes had high variability among genotypes. The SI was a powerful tool for identifying genotypes with high potential for fresh consumption, since it allowed selecting genotypes with multiple desirable traits. In the frst and second growing seasons, the SI identifed the genotypes PROG 052 (SI = 76.1 and 78.9), BRS Rubra (SI = 74.1 and 99.5), Cabocla (SI = 72.3 and 70.7), Costa Rica (SI = 61.2 and 73.8) and PROG 069 (SI = 68.1 and 72.4) as the most promising ones for fresh consumption due to the presence of multiple desirable traits such as high diameter, mass, fesh frmness, SS, and SS/AT ratio, as well as lower acidity. MenosAcerola (Malpighia emarginata DC.) is one of the most important fruit produced in the São Francisco Valley, a Semi-arid region in the Northeast of Brazil. This study aimed to evaluate the physicochemical quality of thirty-fve acerola genotypes produced during two growing seasons in a Semi-arid region and to identify the best ones with potential for fresh consumption based on a multivariate selection index. Fruit of each genotype were harvested during two growing seasons at the maturity stage red-ripe, characterized by full red skin color. After harvest, the fruit were evaluated for diameter, mass, fesh frmness, soluble solids (SS), titratable acidity (TA) SS/TA ratio, ascorbic acid content and skin color. A multivariate selection index (SI) was applied for scoring and ranking the genotypes for fresh consumption based on red-ripe fruit physicochemical quality. According to the results, all physicochemical attributes had high variability among genotypes. The SI was a powerful tool for identifying genotypes with high potential for fresh consumption, since it allowed selecting genotypes with multiple desirable traits. In the frst and second growing seasons, the SI identifed the genotypes PROG 052 (SI = 76.1 and 78.9), BRS Rubra (SI = 74.1 and 99.5), Cabocla (SI = 72.3 and 70.7), Costa Rica (SI = 61.2 and 73.8) and PROG 069 (SI = 68.1 and 72.4) as the most promising ones for fresh consumption due to the presence of multiple desirable traits such as high diameter, mass, fesh frmne... Mostrar Tudo |
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Palavras-Chave: |
Ascórbico ácido; Atributos físico-químicos da fruta; Descritores; Diversidade genética. |
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Thesagro: |
Acerola; Consumidor; Genótipo; Melhoramento Genético Vegetal; Pós-Colheita; Qualidade. |
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Thesaurus NAL: |
Fruit quality; Malpighia emarginata. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1140442/1/Multivariate-selection-index-of-acerola-genotypes-for-fresh-consumption-based-on-fruit-physicochemical-attributes-2022.pdf
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Marc: |
LEADER 02568naa a2200337 a 4500
001 2140442
005 2022-11-18
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10681-022-02978-1$2DOI
100 1 $aFERREIRA, M. A. R.
245 $aMultivariate selection index of acerola genotypes for fresh consumption based on fruit physicochemical attributes.$h[electronic resource]
260 $c2022
520 $aAcerola (Malpighia emarginata DC.) is one of the most important fruit produced in the São Francisco Valley, a Semi-arid region in the Northeast of Brazil. This study aimed to evaluate the physicochemical quality of thirty-fve acerola genotypes produced during two growing seasons in a Semi-arid region and to identify the best ones with potential for fresh consumption based on a multivariate selection index. Fruit of each genotype were harvested during two growing seasons at the maturity stage red-ripe, characterized by full red skin color. After harvest, the fruit were evaluated for diameter, mass, fesh frmness, soluble solids (SS), titratable acidity (TA) SS/TA ratio, ascorbic acid content and skin color. A multivariate selection index (SI) was applied for scoring and ranking the genotypes for fresh consumption based on red-ripe fruit physicochemical quality. According to the results, all physicochemical attributes had high variability among genotypes. The SI was a powerful tool for identifying genotypes with high potential for fresh consumption, since it allowed selecting genotypes with multiple desirable traits. In the frst and second growing seasons, the SI identifed the genotypes PROG 052 (SI = 76.1 and 78.9), BRS Rubra (SI = 74.1 and 99.5), Cabocla (SI = 72.3 and 70.7), Costa Rica (SI = 61.2 and 73.8) and PROG 069 (SI = 68.1 and 72.4) as the most promising ones for fresh consumption due to the presence of multiple desirable traits such as high diameter, mass, fesh frmness, SS, and SS/AT ratio, as well as lower acidity.
650 $aFruit quality
650 $aMalpighia emarginata
650 $aAcerola
650 $aConsumidor
650 $aGenótipo
650 $aMelhoramento Genético Vegetal
650 $aPós-Colheita
650 $aQualidade
653 $aAscórbico ácido
653 $aAtributos físico-químicos da fruta
653 $aDescritores
653 $aDiversidade genética
700 1 $aVILVERT, J. C.
700 1 $aSILVA, B. O. S. da
700 1 $aFERREIRA, I. C.
700 1 $aSOUZA, F. de F.
700 1 $aFREITAS, S. T. de
773 $tEuphytica$gv. 218, 2022.
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