Identification of Cucumber Disease Using Hyperspectral Imaging and Discriminate Analysis

doi:10.3964/j.issn.1000-0593(2010)05-1357-05

CORC > 中国农业科学院 > 蔬菜花卉研究所

	Identification of Cucumber Disease Using Hyperspectral Imaging and Discriminate Analysis
	Chai A-li 1; Liao Ning-fang 2; Tian Li-xun 2; Shi Yan-xia 1; Li Bao-ju 1
刊名	SPECTROSCOPY AND SPECTRAL ANALYSIS
	2010
卷号	30 期号:5 页码:1357-1361
关键词	Hyperspectral imaging technique Cucumber diseases Stepwise discriminate Canonical discriminate
ISSN号	1000-0593
DOI	10.3964/j.issn.1000-0593(2010)05-1357-05
通讯作者	Chai A-li
英文摘要	Hyperspectral imaging(400-720 am) and discriminate analysis were investigated for the detection of normal and dis eased cucumber leaf samples with powdery mildew (Sphaerotheca fuliginea). angular leaf spot (Pseudomopnas syringae). downy mildew(Pseudoperonospora cubensis), and brown spot(Corynespora cassiicola). A hyperspectral imaging system was established to acquire and pre-process leaf images. as well as to extract leaf spectral properties. Owing to the complexity of the original spectral data. stepwise discriminate and canonical discriminate were executed to reduce the numerous spectral information. in order to decrease the amount of calculation and improve the accuracy. By the stepwise discriminate we selected 12 optimal wavelengths from the original 55 wavelengths. and after the canonical discriminate. the 55 wavelengths were reduced to 2 canonical variables. Then the discriminate models were developed to classify the leaf samples. The result shows that the stepwise discriminate model achieved classification accuracies of 100% and 94% for the training and testing sets. respectively. For the canonical model, the classification accuracies for the training and testing sets were both 100%. These results indicated that it is feasible to identify and classify cucumber diseases using hyperspectral imaging technology and discriminate analysis. The preliminary study, which was clone in a closed room with restrictions to avoid interference of the field environment. showed that there is a potential to establish an online field application in cucumber disease detection based on visible spectroscopy.
学科主题	Spectroscopy ; SPECTROSCOPY
语种	中文
出版者	OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS
WOS记录号	WOS:000277256200044
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/101979]
专题	蔬菜花卉研究所
作者单位	1.Chinese Acad Agr Sci, Inst Vegetables & Flowers, Beijing 100081, Peoples R China 2.Beijing Inst Technol, Natl Lab Color Sci & Engn, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Chai A-li,Liao Ning-fang,Tian Li-xun,et al. Identification of Cucumber Disease Using Hyperspectral Imaging and Discriminate Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2010,30(5):1357-1361.
APA	Chai A-li,Liao Ning-fang,Tian Li-xun,Shi Yan-xia,&Li Bao-ju.(2010).Identification of Cucumber Disease Using Hyperspectral Imaging and Discriminate Analysis.SPECTROSCOPY AND SPECTRAL ANALYSIS,30(5),1357-1361.
MLA	Chai A-li,et al."Identification of Cucumber Disease Using Hyperspectral Imaging and Discriminate Analysis".SPECTROSCOPY AND SPECTRAL ANALYSIS 30.5(2010):1357-1361.