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首页> 外文会议>Sensing for agriculture and food quality and safety III >Detection of fruit fly infestation in pickling cucumbers using hyperspectral imaging
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Detection of fruit fly infestation in pickling cucumbers using hyperspectral imaging

机译：利用高光谱成像技术检测腌制黄瓜中的果蝇侵染

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Fruit fly infestation can be a serious problem in pickling cucumber production. In the United States and many other countries, there is zero tolerance for fruit flies in pickled products. Currently, processors rely on manual inspection to detect and remove fruit fly-infested cucumbers, which is labor intensive and also prone to error due to human fatigue and the difficulty of visually detecting infestation that is hidden inside the fruit. In this research, a laboratory hyperspectral imaging system was used to detect fruit fly-infested pickling cucumbers. Hyperspectral reflectance (450-740 nm) and transmittance (740-1,000 nm) images were acquired simultaneously for 329 normal (infestation free) and fruit flyinfested pickling cucumbers of three size classes with the mean diameters of 16.8, 22.1, and 27.6 mm, respectively. Mean spectra were extracted from the hyperspectral image of each cucumber, and they were then corrected for the fruit size effect using a diameter correction equation. Partial least squares discriminant analyses for the reflectance, transmittance and their combined data were performed for differentiating normal and infested pickling cucumbers. With reflectance mode, the overall classification accuracies for the three size classes and mixed class were between 82% and 88%, whereas transmittance achieved better classification results with the overall accuracies of 88%-93%. Integration of reflectance and transmittance did not result in noticeable improvements, compared to transmittance mode. Overall, the hyperspectral imaging system performed better than manual inspection, which had an overall accuracy of 75% and decreased significantly for smaller size cucumbers. This research demonstrated that hyperspectral imaging is potentially useful for detecting fruit fly-infested pickling cucumbers.
机译：果蝇侵染可能是腌制黄瓜生产中的一个严重问题。在美国和许多其他国家，腌制产品中的果蝇对零容忍。当前，加工者依靠人工检查来检测和去除被果蝇侵染的黄瓜，这是劳动密集型的，并且由于人的疲劳和视觉上难以发现隐藏在水果内部的侵害而容易出错。在这项研究中，实验室高光谱成像系统用于检测果蝇出没的腌制黄瓜。同时采集了三种尺寸分别为16.8、22.1和27.6 mm的三种尺寸等级的329正常（无病）和果蝇侵染的腌制黄瓜的高光谱反射率（450-740 nm）和透射率（740-1,000 nm）图像。 。从每个黄瓜的高光谱图像中提取平均光谱，然后使用直径校正方程对它们的果实​​大小效应进行校正。进行偏光度，透射率及其组合数据的偏最小二乘判别分析，以区分正常和受感染的腌制黄瓜。在反射模式下，三个尺寸类别和混合类别的总体分类精度在82％至88％之间，而透射率则以88％-93％的总体精度获得更好的分类结果。与透射模式相比，反射率和透射率的集成没有导致明显的改善。总体而言，高光谱成像系统的性能优于手动检查，该系统的总体准确性为75％，对于较小尺寸的黄瓜，其显着下降。这项研究表明，高光谱成像对于检测果蝇出没的腌制黄瓜可能很有用。

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