Cucumber Diseases Diagnosis Using Multispectral Imaging Technique

文献类型： 外文期刊

第一作者： Feng Jie

作者： Feng Jie;Liao Ning-fang;Feng Jie;Zhao Bo;Luo Yong-dao;Li Bao-ju

作者机构：

关键词： Multispectral imaging technique;Spectroscopy analysis technique;Cucumber diseases

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2009 年 29 卷 2 期

页码：

收录情况： SCI

摘要： For a reliable diagnosis of plant diseases and insect pests, spectroscopy analysis technique and mutispectral imaging technique are proposed to diagnose five cucumber diseases, namely Trichothecium roseum, Sphaerotheca fuliginea, Cladosporium cucumerinum, Corynespora cassiicola and Pseudoperonospora cubensis. In the experiment, the cucumbers' multispectral images of 14 visible lights channels, near infrared channel and panchromatic channel were captured using narrow-band multispectral imaging system under standard observation environment. And the 5 cucumber diseases, healthy leaves and reference white were classified using their multispectral information, the distance, angle and relativity. The discrimination of Trichothecium roseum, Sphaerotheca fuliginea, Cladosporium cucumerinum, and reference white was 100%, and that of Pseudoperonospora cubensis and healthy leaves was 80% and 93. 33% respectively. The mean correct discrimination of diseases was 81. 90% when the distance and relativity were used together. The result shows that the method realized good accuracy in the cucumber diseases diagnosis.

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[1]Identification of Cucumber Disease Using Hyperspectral Imaging and Discriminate Analysis. Chai A-li,Shi Yan-xia,Li Bao-ju,Liao Ning-fang,Tian Li-xun. 2010

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