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首页> 外文会议>European Conference on Precision Agriculture >Detection of the Tulip Breaking Virus (TBV) in tulip using spectral and vision sensors
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Detection of the Tulip Breaking Virus (TBV) in tulip using spectral and vision sensors

机译：使用光谱和视觉传感器检测郁金香中的郁金香破碎病毒（TBV）

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摘要

Experiments are described for detection of Tulip Breaking Virus in tulip plants. Four optical techniques were investigated and compared with visual assessment by crop experts as well as with Elisa (Enzyme ImmunoAssay) analysis of the same plants. Theoptical sensor techniques used were: an RGB Color camera, a spectrophotometer ranging from 400-2400 nm, a spectral imaging camera covering a spectral range from 400-900 nm and a chlorophyll fluorescence imaging system which measures the photosynthetic activity. Linear discriminant classification was used to compare the results of these optical techniques with the Elisa score and the visual assessment. A good correlation was found when the results of the spectral camera and the results of the visual examinations of the crop expert were compared. These are very promising results which are translated in a follow up with as final goal an autonomous robot for detection and removal of diseased tulip plants in the open field.
机译：描述了在郁金香植物中检测郁金香破碎病毒的实验。研究了四种光学技术，并通过作物专家以及同一植物的ELISA（酶免疫测定）分析来研究四种光学技术。所使用的光学传感器技术是：RGB彩色摄像机，一种分光光度计，范围从400-2400nm，覆盖400-900nm的光谱范围和测量光合活性的叶绿素荧光成像系统的光谱成像相机。线性判别分类用于将这些光学技术的结果与ELISA得分和视觉评估进行比较。当光谱相机的结果和作物专家的视觉检查的结果进行比较时，发现了良好的相关性。这些是非常有前途的结果，它在后续转换为最终目标是一种自治机器人，用于检测和去除开放场中的患病郁金香厂。

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