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Arlete Mendes-Faia

Arlete Faia

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Journal Articles

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2018
[j3]
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  dblp key:
  - journals/remotesensing/SilvaGMM18
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  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/SilvaGMM18
Rui Silva, Véronique M. Gomes, Arlete Mendes-Faia, Pedro Melo-Pinto:
Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries. Remote. Sens. 10(2): 312 (2018)
2017
[j2]
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  - journals/cea/GomesFFM17
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  - https://dblp.org/rec/journals/cea/GomesFFM17
Véronique M. Gomes, Armando M. Fernandes, Arlete Faia, Pedro Melo-Pinto:
Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging. Comput. Electron. Agric. 140: 244-254 (2017)
2015
[j1]
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  - journals/cea/FernandesFMMCM15
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Armando M. Fernandes, Camilo A. Franco, Ana Mendes-Ferreira, Arlete Mendes-Faia, Pedro Leal da Costa, Pedro Melo-Pinto:
Brix, pH and anthocyanin content determination in whole Port wine grape berries by hyperspectral imaging and neural networks. Comput. Electron. Agric. 115: 88-96 (2015)

Conference and Workshop Papers

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2014
[c1]
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Véronique M. Gomes, Armando M. Fernandes, Arlete Faia, Pedro Melo-Pinto:
Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies. CIES 2014: 188-193

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