A computerized plant species recognition system

Yanhua Ye; Chun Chen; Chun Tak Li; Hong Fu; Zheru Chi

A computerized plant species recognition system

Yanhua Ye, Chun Chen, Chun Tak Li, Hong Fu, Zheru Chi

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

33 Citations (Scopus)

Abstract

In this paper, a computerized plant species recognition system (CPSRS) is presented. CPSRS is a web-based application, which provides a familiar and efficient way to search and identify/plant species in the field It is built on Java web infrastructure to support platform-independence application. The Java Applets and Servlets are adopted to balance the computing burden in both client and server. The architecture of CPSRS is introduced to show how it is designed and works. Two types of plant species retrieval methods, text-based information retrieval and content-based leaf retrieval are discussed. With the text-based information retrieval method, the exact information of plant species is retrived from the database according to the input searching criteria. For the content-based leaf retrieval, experimental results show that recall rate of about 71.4% can be achieved when top five returned images are considered.

Original language	English
Title of host publication	2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Pages	723-726
Number of pages	4
Publication status	Published - 1 Dec 2004
Event	2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong Duration: 20 Oct 2004 → 22 Oct 2004

Conference

Conference	2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Country/Territory	Hong Kong
City	Hong Kong, China
Period	20/10/04 → 22/10/04

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{32124f9b373146aa925b40dce770aba5,

title = "A computerized plant species recognition system",

abstract = "In this paper, a computerized plant species recognition system (CPSRS) is presented. CPSRS is a web-based application, which provides a familiar and efficient way to search and identify/plant species in the field It is built on Java web infrastructure to support platform-independence application. The Java Applets and Servlets are adopted to balance the computing burden in both client and server. The architecture of CPSRS is introduced to show how it is designed and works. Two types of plant species retrieval methods, text-based information retrieval and content-based leaf retrieval are discussed. With the text-based information retrieval method, the exact information of plant species is retrived from the database according to the input searching criteria. For the content-based leaf retrieval, experimental results show that recall rate of about 71.4% can be achieved when top five returned images are considered.",

author = "Yanhua Ye and Chun Chen and Li, {Chun Tak} and Hong Fu and Zheru Chi",

year = "2004",

month = dec,

day = "1",

language = "English",

isbn = "0780386884",

pages = "723--726",

booktitle = "2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004",

note = "2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 ; Conference date: 20-10-2004 Through 22-10-2004",

}

TY - GEN

T1 - A computerized plant species recognition system

AU - Ye, Yanhua

AU - Chen, Chun

AU - Li, Chun Tak

AU - Fu, Hong

AU - Chi, Zheru

PY - 2004/12/1

Y1 - 2004/12/1

N2 - In this paper, a computerized plant species recognition system (CPSRS) is presented. CPSRS is a web-based application, which provides a familiar and efficient way to search and identify/plant species in the field It is built on Java web infrastructure to support platform-independence application. The Java Applets and Servlets are adopted to balance the computing burden in both client and server. The architecture of CPSRS is introduced to show how it is designed and works. Two types of plant species retrieval methods, text-based information retrieval and content-based leaf retrieval are discussed. With the text-based information retrieval method, the exact information of plant species is retrived from the database according to the input searching criteria. For the content-based leaf retrieval, experimental results show that recall rate of about 71.4% can be achieved when top five returned images are considered.

AB - In this paper, a computerized plant species recognition system (CPSRS) is presented. CPSRS is a web-based application, which provides a familiar and efficient way to search and identify/plant species in the field It is built on Java web infrastructure to support platform-independence application. The Java Applets and Servlets are adopted to balance the computing burden in both client and server. The architecture of CPSRS is introduced to show how it is designed and works. Two types of plant species retrieval methods, text-based information retrieval and content-based leaf retrieval are discussed. With the text-based information retrieval method, the exact information of plant species is retrived from the database according to the input searching criteria. For the content-based leaf retrieval, experimental results show that recall rate of about 71.4% can be achieved when top five returned images are considered.

UR - http://www.scopus.com/inward/record.url?scp=14544292827&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 0780386884

SP - 723

EP - 726

BT - 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004

T2 - 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004

Y2 - 20 October 2004 through 22 October 2004

ER -

A computerized plant species recognition system

Abstract

Conference

ASJC Scopus subject areas

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