Novel technologies for monitoring the in-line quality of virgin olive oil during manufacturing and storage.

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Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression.

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Novel technologies for monitoring the in-line quality of virgin olive oil during manufacturing and storage.

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

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Novel technologies for monitor ...... ing manufacturing and storage.

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Novel technologies for monitor ...... ing manufacturing and storage.

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Novel technologies for monitor ...... ring manufacturing and storage

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Daniel Aguilera Puerto

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Diego M Martínez Gila

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Javier Gámez García

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P2860

Dispersion and Absorption in Dielectrics I. Alternating Current Characteristics

Determination of the olive maturity index of intact fruits using image analysis.

Geographic classification of extra virgin olive oils from the eastern Mediterranean by chemometric analysis of visible and near-infrared spectroscopic data.

Artificial neural networks: fundamentals, computing, design, and application.

Simultaneous data pre-processing and SVM classification model selection based on a parallel genetic algorithm applied to spectroscopic data of olive oils.

Dielectrical properties of food materials--2: measurement techniques.

The use of near-infrared spectrometry in the olive oil industry.

Infrared machine vision system for the automatic detection of olive fruit quality.

Sorting Olive Batches for the Milling Process Using Image Processing.

Detection of vinegary defect in virgin olive oils by metal oxide sensors.

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4644-4662

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scholarly article

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10.1002/JSFA.7733

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English

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Juan GÓmez Ortega

Julio Beltrán Ortega

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2016-05-18T00:00:00Z

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27012363

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Novel technologies for monitoring the in-line quality of virgin olive oil during manufacturing and storage.

about

P2860

P2860

Novel technologies for monitoring the in-line quality of virgin olive oil during manufacturing and storage.

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P698