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

作者：Wang J; Nakano K^*; Ohashi S; Kubota Y; Takizawa K; Sasaki Y

来源：Biosystems Engineering, 2011, 108(4): 345-351.

DOI：10.1016/j.biosystemseng.2011.01.006

A hyperspectral reflectance imaging approach in the spectral region of 400-720 nm was developed for the detection of external insect damage in jujube fruits. 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 insect infestation. 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 hyperspectral imaging based on a statistically derived discriminant function can be used to discriminate insect infestation from other confounding surface features in jujubes.

• 出版日期2011-4