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

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    Authors
    Udomkun, Patchimaporn
    Nagle, Marcus
    Argyropoulos, D.
    Mahayothee, B.
    Müller, Joachim
    Date
    2016-11
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Limited Access
    Metadata
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    Citation
    Udomkun, P., Nagle, M., Argyropoulos, D., Mahayothee, B. & Müller, J. (2016). Multi-sensor approach to improve optical monitoring of papaya shrinkage during drying. Journal of Food Engineering, 189, 82-89.
    Permanent link to cite or share this item: http://hdl.handle.net/10568/76370
    DOI: https://dx.doi.org/10.1016/j.jfoodeng.2016.05.014
    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.
    AGROVOC Keywords
    COMPTUER VISION; POSTHARVEST TECHNOLOGY; DEHYDRATION; CARICA
    Subjects
    POST-HARVESTING TECHNOLOGY
    Countries
    GERMANY; THAILAND
    Regions
    SOUTHEAST ASIA
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    • IITA Journal Articles [1807]

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