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首页> 外文会议>Sensing for Agriculture and Food Quality and Safety VII >Classification of corn kernels contaminated with aflatoxins using fluorescence and reflectance hyperspectral images analysis
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Classification of corn kernels contaminated with aflatoxins using fluorescence and reflectance hyperspectral images analysis

机译：使用荧光和反射高光谱图像分析对黄曲霉毒素污染的玉米粒进行分类

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摘要

Aflatoxins are secondary metabolites produced by certain fungal species of the Aspergillus genus. Aflatoxin contamination remains a problem in agricultural products due to its toxic and carcinogenic properties. Conventional chemical methods for aflatoxin detection are time-consuming and destructive. This study employed fluorescence and reflectance visible near-infrared (VNIR) hyperspectral images to classify aflatoxin contaminated corn kernels rapidly and non-destructively. Corn ears were artificially inoculated in the field with toxigenic A. flavus spores at the early dough stage of kernel development. After harvest, a total of 300 kernels were collected from the inoculated ears. Fluorescence hyperspectral imagery with UV excitation and reflectance hyperspectral imagery with halogen illumination were acquired on both endosperm and germ sides of kernels. All kernels were then subjected to chemical analysis individually to determine aflatoxin concentrations. A region of interest (ROI) was created for each kernel to extract averaged spectra. Compared with healthy kernels, fluorescence spectral peaks for contaminated kernels shifted to longer wavelengths with lower intensity, and reflectance values for contaminated kernels were lower with a different spectral shape in 700-800 run region. Principal component analysis was applied for data compression before classifying kernels into contaminated and healthy based on a 20 ppb threshold utilizing the K-nearest neighbors algorithm. The best overall accuracy achieved was 92.67% for germ side in the fluorescence data analysis. The germ side generally performed better than endosperm side. Fluorescence and reflectance image data achieved similar accuracy.
机译：黄曲霉毒素是由曲霉属的某些真菌产生的次级代谢产物。黄曲霉毒素由于其毒性和致癌性而在农产品中仍然是一个问题。用于检测黄曲霉毒素的常规化学方法既费时又具有破坏性。这项研究采用荧光和反射可见光近红外（VNIR）高光谱图像对黄曲霉毒素污染的玉米粒进行了快速，无损的分类。在籽粒发育的早期面团阶段，将玉米毒素在田间人工接种产毒黄曲霉孢子。收获后，从接种的耳朵中收集了总共300个谷粒。在籽粒的胚乳和胚芽两侧均获得了具有紫外线激发的荧光高光谱图像和具有卤素照明的反射高光谱图像。然后将所有谷粒分别进行化学分析，以确定黄曲霉毒素的浓度。为每个内核创建一个感兴趣区域（ROI），以提取平均光谱。与健康的谷粒相比，受污染的谷粒的荧光光谱峰以较低的强度移至更长的波长，并且在700-800运行区域中，具有不同的光谱形状的受污染的谷粒的反射率值较低。应用主成分分析进行数据压缩，然后使用K近邻算法基于20 ppb阈值将内核分类为受污染和健康。在荧光数据分析中，细菌侧的最佳总体准确度为92.67％。胚芽侧通常比胚乳侧表现更好。荧光和反射图像数据达到了相似的精度。

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  • 来源
  • 会议地点 Baltimore MD(US)
  • 作者

    Fengle Zhu; Haibo Yao; Zuzana Hruska; Russell Kincaid; Robert Brown; Deepak Bhatnagar; Thomas Cleveland;

  • 作者单位

    Mississippi State University/Geosystems Research Institute, Building 1021, Stennis Space Center, MS, USA 39529;

    Mississippi State University/Geosystems Research Institute, Building 1021, Stennis Space Center, MS, USA 39529;

    Mississippi State University/Geosystems Research Institute, Building 1021, Stennis Space Center, MS, USA 39529;

    Mississippi State University/Geosystems Research Institute, Building 1021, Stennis Space Center, MS, USA 39529;

    USDA-ARS, Southern Regional Research Center, 1100 Robert E. Lee Blvd., New Orleans, LA, USA 70124;

    USDA-ARS, Southern Regional Research Center, 1100 Robert E. Lee Blvd., New Orleans, LA, USA 70124;

    USDA-ARS, Southern Regional Research Center, 1100 Robert E. Lee Blvd., New Orleans, LA, USA 70124;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Aflatoxin; Corn kernel; Classification; Fluorescence; Reflectance; Hyperspectral imaging;

    机译：黄曲霉毒素;玉米粒;分类;荧光;反射率高光谱成像;

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