Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology

Research of the Intelligent Control Development Trends of Farm Grasping Grass Machine

Authors
Zhen-Hang Cao, Guan-Feng Li, Zhong-Xu Dou
Corresponding Author
Zhen-Hang Cao
Available Online April 2016.
DOI
https://doi.org/10.2991/icmit-16.2016.72How to use a DOI?
Keywords
Grasping Grass Machine; Intelligent Control; Development Trend.
Abstract
In this paper the problems is analyzed, that the phenomenon of burning crops straw, although it is prohibited times without number, and which causing serious air pollution are a great deal of occurrences in recent years in rural area. It points out that one of the main reasons is lacking efficient machine for collecting and loading straw, so that the comprehensive utilization of straw is stopped at source. In order to reduce air pollution and improve energy utilization, by looking at data and on-the-spot investigation. Based on this, the current situation of farm grasping grass machine and the related demand of intelligent control technology are studied, and the development tendency is discussed. For the development needs of intelligent control of farm grasping grass machine, five major directions are suggested, bus-oriented, polarized, seriation, networked, greening.
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Proceedings
2016 3rd International Conference on Mechatronics and Information Technology
Part of series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-184-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmit-16.2016.72How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhen-Hang Cao
AU  - Guan-Feng Li
AU  - Zhong-Xu Dou
PY  - 2016/04
DA  - 2016/04
TI  - Research of the Intelligent Control Development Trends of Farm Grasping Grass Machine
BT  - 2016 3rd International Conference on Mechatronics and Information Technology
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmit-16.2016.72
DO  - https://doi.org/10.2991/icmit-16.2016.72
ID  - Cao2016/04
ER  -