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Authors: Zhong Hua Shen ; Yi Wei Liu and Jing Bo Cong

Affiliation: School of mechanical and control engineering and Guilin University of Technology, China

Keyword(s): Sugarcane cleaner, mechanical optimization, Sensor, MATLAB.

Abstract: The traditional method of harvesting sugarcane has no advantage and is inefficient. Mechanization harvesting is gradually gaining popularity, which leads to higher utilization rate of sugarcane harvester machinery. Feedback information based on actual field operation. The need for sugarcane harvester is no longer the basic requirement of breaking rate and low heterosis rate. It is to keep the sugarcane seedlings under the premise of keeping the leaves clean, so that they can be planted again in the second year. In this paper, a linear displacement sensor is added to automatically identify sugarcane sugarcane nodes and avoid the damage of sugarcane seedlings. Therefore, the rationality of sugarcane peeling is improved, and the benefit of mechanized harvesting of sugarcane is improved.

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Paper citation in several formats:
Shen, Z.; Liu, Y. and Cong, J. (2019). Mechanical Optimization Design of Sugarcane Cane Species Stripping Method. In Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - ICIMM; ISBN 978-989-758-345-2, SciTePress, pages 107-111. DOI: 10.5220/0007527201070111

@conference{icimm19,
author={Zhong Hua Shen. and Yi Wei Liu. and Jing Bo Cong.},
title={Mechanical Optimization Design of Sugarcane Cane Species Stripping Method},
booktitle={Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - ICIMM},
year={2019},
pages={107-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007527201070111},
isbn={978-989-758-345-2},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - ICIMM
TI - Mechanical Optimization Design of Sugarcane Cane Species Stripping Method
SN - 978-989-758-345-2
AU - Shen, Z.
AU - Liu, Y.
AU - Cong, J.
PY - 2019
SP - 107
EP - 111
DO - 10.5220/0007527201070111
PB - SciTePress

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