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Hyperspectral imaging for detection of black tip damage in wheat kernels

机译：高光谱成像技术检测小麦籽粒黑梢损伤

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摘要

A feasibility study was conducted on the use of hyperspectral imaging to differentiate sound wheat kernels from those with the fungal condition called black point or black tip. Individual kernels of hard red spring wheat were loaded in indented slots on a blackened machined aluminum plate. Damage conditions, determined by official (USDA) inspection, were either sound (no damage) or damaged by the black tip condition alone. Hyperspectral imaging was separately performed under modes of reflectance from white light illumination and fluorescence from UV light (～380 nm) illumination. By cursory inspection of wavelength images, one fluorescence wavelength (531 nm) was selected for image processing and classification analysis. Results indicated that with this one wavelength alone, classification accuracy can be as high as 95% when kernels are oriented with their dorsal side toward the camera. It is suggested that improvement in classification can be made through the inclusion of multiple wavelength images.
机译：进行了关于利用高光谱成像将小麦粒与患有真菌病状黑点或黑梢的小麦粒区分开的可行性研究。将硬红春麦的各个籽粒装入经过熏黑的机加工铝板上的凹口中。由官方（USDA）检验确定的损坏状况是健全的（无损坏）或仅由黑尖状况造成的损坏。高光谱成像是分别在白光照射的反射率和紫外线（〜380 nm）照射的荧光的模式下进行的。通过粗略检查波长图像，选择了一个荧光波长（531 nm）进行图像处理和分类分析。结果表明，仅在一个波长下，当籽粒的背侧朝向相机定向时，分类精度可高达95％。建议可以通过包含多个波长图像来改善分类。

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  • 来源
  • 会议地点 Orlando FL(US)
  • 作者

    Stephen R. Delwiche; I-Chang Yang; Moon S. Kim;

  • 作者单位

    USDA-ARS, Beltsville Agricultural Research Center Food Quality Laboratory, Bldg. 303, BARC- East, Beltsville, MD 20705-2350 USA;

    National Taiwan University, Dept. of Bio-Industrial Mechatronics Engineering., Taipei, Taiwan;

    USDA -ARS, Beltsville Agricultural Research Center, Environmental Microbial and Food Safety Laboratory, Bldg. 303, BARC-East, Beltsville, MD 20705-2350 USA.;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    hyperspectral imaging; wheat; damage; black tip;

    机译：高光谱成像小麦;损伤;黑尖;

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