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首页> 外文会议>Conference on 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：在环境太阳能照明下使用多光谱反射成像在生产场中鉴定粪便物质污染

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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：在新鲜农田中检测粪便污染的成像装置可以允许生产者避免收获粪便污染的产物。 E.coli O157：H7爆发已与粪便污染的绿叶蔬菜有关。在该研究中，比较了牛粪物质，土壤和菠菜叶的现场光谱谱。使用两个相同的单色相机，分束器和光学滤波器设计的公共孔径成像器用于同时捕获与粪便物质和土壤污染的叶片的两光谱图像。光学滤波器，其中10nm全宽半部最大带通滤波器，一个在690处运行，第二个在710nm处。这些安装在物镜前面。使用像素基础的像素上的这两个光谱图像的比率创建新的图像。图像分析结果表明，粪便物质污染可与比率图像上的土壤和叶区分开。这种技术的使用具有允许检测在生产领域的粪便污染，这可能是食品疾病的来源。它具有在收获和加工过程中缓解交叉污染的增加的益处。

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