Biosystems Engineering 2011
Detection of external insect infestations in jujube fruit using hyperspectral reflectance imaging

Jian Wang, Kazuhiro Nakano, Sintaro Ohashi, Yosuke Kubota Ken-ichi Takizawa, Yasufumi sasaki

Summary


A hyperspectralreflectanceimaging approach in the spectral region of 400–720 nm was developed for the detection of externalinsect damage in jujubefruits. The peel conditions of jujube samples were tested at undamaged stem-end/calyx-end/cheek regions and at insect-damaged stem-end/cheek regions. A stepwise discriminant analysis was used to classify the jujubes as insect-infested or free of infestation based on the identified effective wavelengths. According to the results, none of the sound cheek or undamaged calyx-end regions was misclassified as having stem-end or insectinfestation. Over 98.0% of the intact jujubes and 94.0% of the insect-infested jujubes represented in the images were correctly recognised, and the overall classification accuracy was about 97.0%. The results demonstrated that hyperspectralimaging based on a statistically derived discriminant function can be used to discriminate insectinfestation from other confounding surface features in jujubes.



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