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Classification of longan fruit bruising using visible spectroscopy |
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| Authors: | T PholphoS Pathaveerat P Sirisomboon |
| Affiliation: | a Post graduate Education and Research Development Project in Post-harvest Technology/Post-harvest Technology Innovation Center, Kasetsart University, Kamphaengsaen Campus, Nakohnpathom, Thailand b Department of Agricultural Engineering, Faculty of Engineering, Kasetsart University, Kamphaengsaen, Nakohnpathom, Thailand c Agricultural Engineering Curriculum, School of Mechanical Engineering, Faculty of Engineering, King Mongkut’s Institute of Technology, Ladkrabang, Bangkok 10520, Thailand |
| Abstract: | This research showed the potential of using visible spectroscopy for classification of non-bruised and bruised longan fruits. The visible spectra of bruised and non-bruised longan fruits were acquired from 400 to 700 nm with 10 nm resolution by the spectrophotometer. The principal component analysis (PCA), Partial Least Square Discriminant Analysis (PLS-DA) and Soft Independent Modeling of Class Analogy (SIMCA) were used to develop classification models. The Partial Least Square Discriminant Analogy (PLS-DA) showed better classification accuracy than SIMCA with 100% correctness. The result was found to be helpful for the application in the industry for on-line and portable application. |
| Keywords: | Longan Visible range Spectroscopy Bruise Principal Component Analysis (PCA) Partial Least Square Discriminant Analysis (PLS-DA) Soft Independent Modeling of Class Analogy (SIMCA) |
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