Plant Identification Based on Artificial Intelligence

Gan, Yang Ying; Hou, Chun Sheng; Zhou, Ting; Xu, Shu Fa

doi:10.4028/www.scientific.net/AMR.255-260.2286

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HomeAdvanced Materials ResearchAdvances in Civil Engineering, CEBM 2011Plant Identification Based on Artificial...

Plant Identification Based on Artificial Intelligence

Abstract:

Species identification plays an important role in botanical research, but traditional identification tool, which mainly depends on reference books or identification keys, is often recognized as a difficult and frustrating task, especially for novices. In recent decades, many efforts have been made by taxonomists and programmers to ease the difficulty of species identification by developing a range of tools that increasingly involved the use of computers. In this paper, new advances of plant identification based on three main artificial intelligent technologies: expert system, artificial neural network, and machine vision are briefly introduced. Several trends of plant identification tools for non-expert users are also proposed in the last part.

Info:

Periodical:

Advanced Materials Research (Volumes 255-260)

Main Theme:

Advances in Civil Engineering, CEBM 2011

Edited by:

Jingying Zhao

Pages:

2286-2290

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.255-260.2286

Citation:

Y. Y. Gan et al., "Plant Identification Based on Artificial Intelligence", Advanced Materials Research, Vols. 255-260, pp. 2286-2290, 2011

Online since:

May 2011

Authors:

Yang Ying Gan, Chun Sheng Hou, Ting Zhou, Shu Fa Xu

Keywords:

Artificial Neural Network (ANN), Expert System, Machine Vision, Plant Identification

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