首页> 外文会议>Sensing for Agriculture and Food Quality and Safety VIII >Identifying fecal matter contamination in produce fields using multispectral reflectance imaging under ambient solar illumination
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Identifying fecal matter contamination in produce fields using multispectral reflectance imaging under ambient solar illumination

机译:使用环境太阳光下的多光谱反射成像识别农产品现场的粪便污染

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An imaging device to detect fecal contamination in fresh produce fields could allow the producer avoid harvesting fecal contaminated produce. E.coli O157:H7 outbreaks have been associated with fecal contaminated leafy greens. In this study, in-field spectral profiles of bovine fecal matter, soil, and spinach leaves are compared. A common aperture imager designed with two identical monochromatic cameras, a beam splitter, and optical filters was used to simultaneously capture two-spectral images of leaves contaminated with both fecal matter and soil. The optical filters where 10 nm full width half maximum bandpass filters, one at 690 run and the second at 710 nm. These were mounted in front of the object lenses. New images were created using the ratio of these two spectral images on a pixel by pixel basis. Image analysis results showed that the fecal matter contamination could be distinguished from soil and leaf on the ratio images. The use of this technology has potential to allow detection of fecal contamination in produce fields which can be a source of foodbourne illnesses. It has the added benefit of mitigating cross-contamination during harvesting and processing.
机译:用于检测新鲜农产品田中粪便污染的成像设备可以使生产者避免收获受粪便污染的农产品。大肠杆菌O157:H7爆发与粪便污染的绿叶蔬菜有关。在这项研究中,比较了牛粪便,土壤和菠菜叶的现场光谱图。使用由两个相同的单色相机,分束器和光学滤镜设计的通用孔径成像器,可同时捕获被粪便和土壤污染的叶片的两个光谱图像。光学滤光片,其中10 nm全宽半高带通滤光片,一个在690 nm运行,第二个在710 nm。这些被安装在物镜的前面。使用这两个光谱图像的比率(逐个像素)创建新图像。图像分析结果表明,在比例图像上可以将粪便污染与土壤和叶片区分开。该技术的使用具有潜力,可以检测出可能是食源性疾病来源的农产品领域中的粪便污染。它具有减少收获和加工过程中交叉污染的额外好处。

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