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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