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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
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Data corrente: |
16/10/2023 |
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Data da última atualização: |
16/10/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HIDALGO CHÁVEZ, D. W.; SILVA, F. L. C. DA; PINTO, R. V.; CARVALHO, C. W. P. de; FREITAS-SILVA, O. |
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Afiliação: |
DAVY WILLIAM HIDALGO CHÁVEZ, UFRRJ; FELIPE LEITE COELHO DA SILVA, UFRRJ; RENAN VICENTE PINTO, UFRRJ; CARLOS WANDERLEI PILER DE CARVALHO, CTAA; OTNIEL FREITAS SILVA, CTAA. |
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Título: |
Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
CyTA: Journal of Food, v. 21, n. 1, p. 606-613, 2023. |
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DOI: |
https://doi.org/10.1080/19476337.2023.2263513 |
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Idioma: |
Inglês |
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Conteúdo: |
This article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extrudates were processed using two optimization alternatives: a) image size reduction (from 2126 to 25 pixels); and b) grayscale conversion before size reduction. After applying PCA and HCPC, all tests yielded consistently similar results with the same PCA distribution and identical HCPC groups. Furthermore, expanded and low expanded extrudates formed groups with their respective peers. The RAM allocated to images and the time required to process them was reduced from 1727 Mb to less than 5 Mb and from ~ 2000s to just 0.1s, respectively. These results demonstrate the e feasibility of using these two simple multivariate statistical techniques for image classification. |
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Palavras-Chave: |
Image classification. |
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Thesaurus Nal: |
Image analysis; Principal component analysis. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1157235/1/Streamlined-approaches-for-image-classification-using-principal-component-analysis-and-hierarchical-clustering-of-extrudates-from-coffee-and-sorghum-b.pdf
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Marc: |
LEADER 01652naa a2200217 a 4500
001 2157235
005 2023-10-16
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1080/19476337.2023.2263513$2DOI
100 1 $aHIDALGO CHÁVEZ, D. W.
245 $aStreamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends.$h[electronic resource]
260 $c2023
520 $aThis article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extrudates were processed using two optimization alternatives: a) image size reduction (from 2126 to 25 pixels); and b) grayscale conversion before size reduction. After applying PCA and HCPC, all tests yielded consistently similar results with the same PCA distribution and identical HCPC groups. Furthermore, expanded and low expanded extrudates formed groups with their respective peers. The RAM allocated to images and the time required to process them was reduced from 1727 Mb to less than 5 Mb and from ~ 2000s to just 0.1s, respectively. These results demonstrate the e feasibility of using these two simple multivariate statistical techniques for image classification.
650 $aImage analysis
650 $aPrincipal component analysis
653 $aImage classification
700 1 $aSILVA, F. L. C. DA
700 1 $aPINTO, R. V.
700 1 $aCARVALHO, C. W. P. de
700 1 $aFREITAS-SILVA, O.
773 $tCyTA: Journal of Food$gv. 21, n. 1, p. 606-613, 2023.
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Registro original: |
Embrapa Agroindústria de Alimentos (CTAA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
03/12/2020 |
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Data da última atualização: |
07/12/2020 |
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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: |
ALTHOFF, D.; RODRIGUES, L. N.; SILVA, D. D. da. |
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Afiliação: |
LINEU NEIVA RODRIGUES, CPAC. |
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Título: |
Impacts of climate change on the evaporation and availability of water in small reservoirs in the Brazilian savannah. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Climatic Change, 2020. |
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Páginas: |
18 p. |
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ISSN: |
0165-0009 |
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DOI: |
DOI 10.1007/s10584-020-02656-y |
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Idioma: |
Português |
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Conteúdo: |
The Cerrado (Brazilian savannah) is one of the few places in the world that has the potential to increase crop production to meet the projected food demand for 2050. However, for agriculture to be sustainable in this region, irrigation must be efficient. This depends on the water stored in small reservoirs, which play an important role in supporting the local economy. The increase in temperature and net radiation predicted by global climate models may increase the evaporation and reduce the availability of water in these small reservoirs. This work assesses the projected impact of climate change on small reservoir evaporation and water availability in the Brazilian savannah using data from the Eta-HadGEM2-ES and Eta-MIROC5 regional climate models under representative concentration pathways (RCP) 4.5 and 8.5. Evaporation increases of 7.3% (1.09 mm/year−1) and 18.4% (2.74 mm/year−1) are projected in RCP 4.5 and RCP 8.5, respectively, by the year 2100. The water stored in reservoirs is projected to decrease in the future, resulting in higher risks of failure in water supply, especially from the smaller reservoirs. Overall, evaporation increases are expected to reduce the availability of water in small reservoirs during the dry season by 5.5% in RCP 4.5 and 10.4% in RCP 8.5. |
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Thesagro: |
Alimento; Modelo Matemático; Mudança Climática; Reservatório de Água. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01987naa a2200229 a 4500
001 2127564
005 2020-12-07
008 2020 bl uuuu u00u1 u #d
022 $a0165-0009
024 7 $aDOI 10.1007/s10584-020-02656-y$2DOI
100 1 $aALTHOFF, D.
245 $aImpacts of climate change on the evaporation and availability of water in small reservoirs in the Brazilian savannah.$h[electronic resource]
260 $c2020
300 $a18 p.
520 $aThe Cerrado (Brazilian savannah) is one of the few places in the world that has the potential to increase crop production to meet the projected food demand for 2050. However, for agriculture to be sustainable in this region, irrigation must be efficient. This depends on the water stored in small reservoirs, which play an important role in supporting the local economy. The increase in temperature and net radiation predicted by global climate models may increase the evaporation and reduce the availability of water in these small reservoirs. This work assesses the projected impact of climate change on small reservoir evaporation and water availability in the Brazilian savannah using data from the Eta-HadGEM2-ES and Eta-MIROC5 regional climate models under representative concentration pathways (RCP) 4.5 and 8.5. Evaporation increases of 7.3% (1.09 mm/year−1) and 18.4% (2.74 mm/year−1) are projected in RCP 4.5 and RCP 8.5, respectively, by the year 2100. The water stored in reservoirs is projected to decrease in the future, resulting in higher risks of failure in water supply, especially from the smaller reservoirs. Overall, evaporation increases are expected to reduce the availability of water in small reservoirs during the dry season by 5.5% in RCP 4.5 and 10.4% in RCP 8.5.
650 $aAlimento
650 $aModelo Matemático
650 $aMudança Climática
650 $aReservatório de Água
700 1 $aRODRIGUES, L. N.
700 1 $aSILVA, D. D. da
773 $tClimatic Change, 2020.
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