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.

• Periodical: Advanced Materials Research (Volume 320)
• Pages: 631-635
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.320.631
• Online since: August 2011
• Authors: De Qiang He, Qi Yang Liu, Liang Xin Li, Jian Miao
• Keywords: Image Identification, Image Processing, Intelligent Can-End Cutting, Sugarcane

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