NDLI: Computer aided plant identification system

Content Provider	IEEE Xplore Digital Library
Author	Ngoc-Hai Pham Thi-Lan Le Grard, P. Van-Ngoc Nguyen
Copyright Year	2013
Description	Author affiliation: Int. Res. Inst., Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam (Ngoc-Hai Pham; Thi-Lan Le; Van-Ngoc Nguyen) \|\| Agric. Res. for Dev. CIRAD, France (Grard, P.)
Abstract	Human pressure on the environment has steadily increased throughout the last few decades, especially in Southeast Asia. This part of the world is also particularly rich in biodiversity and an appropriate biological knowledge is in high demand by the civil society which is actually asking for a “greener” life and the questions of quality of life are rising more and more. Unfortunately, plants recognition/identification skills of people in these countries are still limited. However, this skill can be improved with the aid of information technology. Recently, a number of works have been dedicated to plant information collection, plant information management and plant recognition. However, the developed systems are far from user requirement. In this paper, we present our computer aided plant identification system. The developed system contains two main parts: a semi-automatic graphical tool and an automatic plant identification method based on leaf images. Feedbacks from end users for graphical tool show that this tool does not have disadvantage of the classical tools (too technical, not sufficiently precise) while the experimental results of automatic plant identification method based on leaf image analysis are promising.
Sponsorship	IEEE Vietnam Sect.
Starting Page	134
Ending Page	139
File Size	752403
Page Count	6
File Format	PDF
ISBN	9781467320870
e-ISBN	9781467320887
DOI	10.1109/ComManTel.2013.6482379
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-21
Publisher Place	Vietnam
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Computers Histograms Accuracy Databases Shape Plant identification Leaf identification Vectors
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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