Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2732

Review

Automatic extraction of ramification pattern for living plants: A review

    Hongchun Qu1*, Linqin Cai1, Zhonghua Lu2 and Youlan Wang3
    1Key Laboratory of Network Control and Intelligent Instrument (Ministry of Education), Chongqing University of Posts and Telecommunications, Chongqing 400065, China. 2Chongqing Agriculture Science Institute, Chongqing 400055, China. 3Chongqing Electric Power College, State Grid, Chongqing 400053, China.  
Email: [email protected]

  • Article Number - D047F8416083
  • Vol.5(23), pp. 3550-3563, December 2010
  •  Published: 31 December 2010

Abstract

 

 

This paper reviews detailed methods and approaches in relation to the complex machine learning system of automatic ramification (branching) pattern extraction. First, we will introduce plant topological and geometrical description, encode database or structure used for storage of measured plant structure. And then, the most important part of this paper, we will discuss recent methods and theories used for plant topology and geometry acquisition, statistical and structural analysis as well as branching rule extraction for any species of plant. Finally, some unsolved problems and challenges need to be addressed in future research are outlined.

 

Key words: Pattern extraction, automatic approaches, plant ramification, machine learning, artificial intelligence.

 
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