Plant Identification Based on Artificial Intelligence

文献类型： 外文期刊

第一作者： Hou Chun Sheng

作者： Hou Chun Sheng;Zhou Ting

作者机构：

关键词： plant identification; expert system; artificial neural network; machine vision

期刊名称：ADVANCES IN CIVIL ENGINEERING, PTS 1-6

ISSN： 1022-6680

年卷期： 2011 年 255-260 卷

页码：

收录情况： SCI

摘要： 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.

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