Paper Title:
Research on Intelligent Cane-End Cutting Based on Image Processing for Sugarcane
  Abstract

An automatic identification method for the cane-end of sugarcane based on digital image processing is given considering the characteristic of the cane-end of sugarcane. An image processing method with Visual C++ is used in the dynamic acquisition and jitter procedure, and identifying the cane-end automatically. The identification system of the cane-end of sugarcane consists of the image acquisition unit, the image processing unit, the identification and control unit. After the digital image of a cane-end is collected, the identification system locates the edge between the cane-end and the body of the sugarcane immediately and automatically via image processing and identification, providing the location information of the cane-end for the following mechanical cane-end cutting method. This system can massively improve the productivity of the cane-end cutting mechanism in a sugarcane harvester.

  Info
Periodical
Chapter
Chapter 2: Mechanical Engineering, Control Engineering and Materials Engineering
Edited by
Jun Hu and Qi Luo
Pages
631-635
DOI
10.4028/www.scientific.net/AMR.320.631
Citation
D. Q. He, Q. Y. Liu, L. X. Li, J. Miao, "Research on Intelligent Cane-End Cutting Based on Image Processing for Sugarcane", Advanced Materials Research, Vol. 320, pp. 631-635, 2011
Online since
August 2011
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Price
$32.00
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