文献类型： 外文期刊

作者： Gan Yang Ying ¹ ; Hou Chun Sheng ¹ ; Zhou Ting ² ; Xu Shu Fa ¹ ;

作者机构： 1.Guangdong Acad Agr Sci, Inst Sci Tech Informat, Guangzhou, Guangdong, Peoples R China

2.Chinese Acad Agr Sci, Bee Res Inst, Beijing 100864, Peoples R China

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.