DocumentCode
2306695
Title
Linear Discriminant Analysis and Its Application in Plant Classification
Author
Du, Minggang ; Wang, Xianfeng
Author_Institution
Sch. of Urban & Environ. Sci., Shanxi Normal Univ., Linfen, China
fYear
2011
fDate
25-27 April 2011
Firstpage
548
Lastpage
551
Abstract
The most common organisms on Earth are plants, which are crucial to the maintenance of atmospheric composition, nutrient cycling and other ecosystem processes. The classification of plants is vital to the study of plant genetic diversity and ecological sensitivity, which is also helpful for many problems such as feeding the population and fighting disease. In this paper, we firstly discuss the shortages of LDA, then classify the plant by using PCA+LDA. The experiments show that it is effective and feasible for plant classification.
Keywords
diseases; ecology; genetic engineering; horticulture; image classification; principal component analysis; production engineering computing; atmospheric composition; common organisms; disease; ecological sensitivity; ecosystem processes; linear discriminant analysis; nutrient cycling; plant classification; plant genetic diversity; principal component analysis; Algorithm design and analysis; Classification algorithms; Feature extraction; Pattern recognition; Personal digital assistants; Shape; Support vector machines; Dimension reduction; LDA; Plant classification; Small-sample-size problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Computing (ICIC), 2011 Fourth International Conference on
Conference_Location
Phuket Island
Print_ISBN
978-1-61284-688-0
Type
conf
DOI
10.1109/ICIC.2011.147
Filename
5954627
Link To Document