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    Multi-sensor approach to improve optical monitoring of papaya shrinkage during drying

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    S16ArtUdomkunMultisensorInthomDev.pdf (1.372Mb)
    Date
    2016-11-15
    Author
    Udomkun, Patchimaporn
    Nagle, Marcus
    Argyropoulos, D.
    Mahayothee, B.
    Müller, Joachim
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    This study aimed to assess the feasibility of a multi-sensor approach for predicting shrinkage of papaya during drying using computer vision methods in combination with optical scattering analysis of light at 650 nm. The top-side area and total surface area derived from computer vision were analyzed, while the illuminated area and light intensity from optical scattering images were used to interpret photon migration in the fruit tissue. The relationship between moisture content and shrinkage in terms of volume and area reduction during drying was satisfactorily explained by a linear model. The results demonstrated that the prediction of papaya shrinkage during drying from top and total surface areas of the sample was possible, but can potentially be improved. Multivariate correlations of computer vision parameters and optical scattering properties showed the enhanced performance for shrinkage prediction. This multi-sensor approach could possibly be applied as a fast, accurate and non-invasive technique for in-line quality control to monitor shrinkage in the production of dried fruits.
    https://dx.doi.org/10.1016/j.jfoodeng.2016.05.014
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/1182
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1016/j.jfoodeng.2016.05.014
    IITA Subjects
    Post-Harvesting Technology
    Agrovoc Terms
    Comptuer Vision; Postharvest Technology; Dehydration; Carica
    Regions
    Southeast Asia
    Countries
    Germany; Thailand
    Journals
    Journal of Food Engineering
    Collections
    • Journal and Journal Articles4842
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