Plant Identification Based on Artificial Intelligence

Author:

Gan Yang Ying1,Hou Chun Sheng1,Zhou Ting2,Xu Shu Fa2

Affiliation:

1. Institute of Sci-Tech Information, Guangdong Academy of Agricultural Science, China

2. The Bee Research Institute,Chinese Academy of Agricultural Sciences

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference31 articles.

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3. Browne A. Neural Network Analysis, Architectures and Applications (Institute of Physics press, Philadelphia 19997).

4. F. Rosenblatt: Psychol. Rev. Vol. 65-6 (1958), pp.386-408.

5. E.R. Davies. Machine Vision: Theory, Algorithms, Practicalities (Elsevier publication, San Francisco 2004).

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