ListarDepartamento de Producción Animal por tema "MPLS regression"
Mostrando ítems 1-4 de 4
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Developing universal models for the prediction of physical quality in citrus fruits analysed on-tree using portable NIRS sensors
(Elsevier, 2017)The citrus sector seeks rapid, economical, environmentally-friendly and non-destructive technologies for monitoring external and internal changes in physical quality taking place in fruit during on-tree growth, thus allowing ... -
Fast and accurate quality assessment of Raf tomatoes using NIRS technology
(Elsevier, 2015)Near infrared reflectance (NIR) spectroscopy was used as a fast and accurate technology for the simultaneous measurement of color, sugar and organic acid content in intact Raf tomatoes. The potential of this method coupled ... -
Fast, Low-Cost and Non-Destructive Physico-Chemical Analysis of Virgin Olive Oils Using Near-Infrared Reflectance Spectroscopy
(MDPI, 2017)Near-Infrared (NIR) Spectroscopy was used for the non-destructive assessment of physico-chemical quality parameters in olive oil. At the same time, the influence of the sample presentation mode (spinning versus static cup) ... -
First steps to predicting pulp colour in whole melons using near-infrared reflectance spectroscopy
(Elsevier, 2014)Near-infrared reflectance spectroscopy (NIRS) technology was used for the non-destructive measurement of melon-pulp colour (a*, b*, C* and h*), one of the main indicators of ripeness and quality. A total of 432 Cantaloupe ...