ListarDepartamento de Producción Animal por tema "LOCAL algorithm"
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 ... -
LOCAL regression applied to a citrus multispecies library to assess chemical quality parameters using near infrared spectroscopy
(Elsevier, 2019)The non-destructive on-tree measurement of the chemical quality attributes of fruits belonging to the Citrus genus using rapid spectral sensors is of vital interest to citrus growers, allowing them to carry out a selective ... -
Online NIRS analysis for the routine assessment of the nitrate content in spinach plants in the processing industry using linear and non-linear methods
(Elsevier, 2021)This study aimed to assess the robustness of the NIRS models developed following different strategies for the routine prediction of nitrate content in spinach plants using an online FT-NIR spectrophotometer. To achieve ... -
Texture Prediction in Intact Green Asparagus by Near Infrared (NIR) Spectroscopy, Assaying Linear and Non-linear Regression Strategies
(Springer, 2014)Texture-related parameters were assessed in intact green asparagus at harvest and during postharvest storage using near-infrared spectroscopy combined with MPLS and LOCAL algorithms. Three spectrophotometers were evaluated ...